Abstract

Prescription pet food is one of the most commonly used conservative therapeutic methods in the treatment of various pet diseases. However, it has not yet been fully utilized, and many pet owners are not aware of its efficacy. In this article, the therapeutic effect of traditional prescription pet food and herbal prescription pet food on the treatment of common pet diseases, especially metabolic, kidney, gastrointestinal, and urinary system diseases, will be discussed. Relevant literature was retrieved through searching various databases such as PubMed, Google Scholar, and CNKI.

The studies reviewed in this paper show that traditional prescription pet food can be effective in the management of pet obesity, kidney disease, and diarrhea. For example, disease-specific formulations such as protein and phosphorus content, omega-3 fatty acids, prebiotics, and functional derivatives of amino acids were effective in slowing disease progress, improving clinical signs, and increasing recovery rates compared to regular pet food. Prescription diet foods were also effective in the management of weight in pets using caloric restriction, fiber content, and metabolic modulation. Although less common, herbal prescription food has been effective in the management of urinary system diseases in pets using anti-inflammatory effects, diuretic effects, and mucosal healing potential. The anti-inflammatory effect may be due to the polysaccharide content in the food.

In conclusion, prescription pet food can be considered effective in the management of diseases in pets. Although traditional prescription pet food has been widely recognized and researched, herbal prescription food has great potential in the management of urinary system diseases in pets. Prescription pet food can be considered effective in the management of diseases in pets.

Key words: Pet prescription food, Herbal medicine, Chronic disease management, Urinary system disease

Introduction

Prescription food, as a conservative treatment method for pets, offers a convenient and effective dietary therapy. Other than the basic ingredients in pet food such as carbohydrate, protein sources, and vitamins, pet prescription food will also add some specific supplements for illnesses. For example, in the prescription food for joint disease, supplements like omega-3 fatty acid, glucosamine, and chondroitin sulfate is added. Prescription food could help with the treatment of many chronic diseases, such as kidney disease, urinary system disease, allergies, etc. It also has the function of disease prevention for senior dogs. (Shen 2020) Although there are some limitations that may hinder its usage, prescription pet food provides significant benefits for maintaining the pet’s health. 

Section 1: Uses of Prescription Medication for Specific Illness

Prescription food was invented by Dr. Mark Morris Sr. in the 1930s, he licensed the first therapeutic diet to Hill Packing Company, which started the development of prescription food in the western countries. (Lederhouse 2023) Therefore, its popularity and rate of utilization abroad are much higher than those in China. At the same time, many western brands have accumulated profound technical expertise in prescription grains. In contrast, most veterinarians still prefer to use medicine directly for treatment in China. However, in recent years, Chinese domestic prescription foods have also been gradually developing, opening up diversified and differentiated development channels. (Chen 2025) (Jia 2020)

Prescription food had several benefits in dealing with specific illness, such as decelerating the progression of some chronic diseases, providing some specialized nutrients for certain diseases, and helping with weight management.

A. Slowing Disease Progression

For the cats that had kidney disease, for example, renal failure, the purpose of treatment is to decrease the burden of their kidney, so their food-intake should be limited because then their kidneys’ workload could be reduced. Under these circumstances, the energy and nutrients of their food should be abundant enough to fulfill their daily requirements. Therefore, the prescription food would be a suitable option since it could provide a high amount of digestible protein, so that it could reduce the amount of protein that needed to be metabolized and excreted. Moreover, the prescription food contains EPA and DHA, which has an antioxidant effect to reduce inflammation. The lower level of phosphorus could also help support the function of the kidney as well. (Li 2021)

Moreover, for the dogs with kidney damage, prescription food could also be beneficial to their recovery. Research supported that prescription food could significantly increase the rate of recovery for the kidney-damaged dogs. According to the research, the researchers applied normal food and prescription food for two groups of dogs and the result showed that the group with prescription food had a rapid decrease in CREA value compared to the normal food group. CREA value is an indicator for evaluating renal injury in clinical practices, which higher value means kidney damage. Tubular type is also an important indicator to measure the damage on renal tubular cells. The amount of tubular cells shows a positive relationship with aggravation of renal injury. According to the research, on the 8th and the 10th day, Group A (which is the group with prescription food) had a smaller amount of tubular cells in contrast to Group B (the group with regular pet food). (Lin 2025) From these two examples, the experimental data and results can both suggest that pet prescription food would accelerate the pets’ recovery from kidney diseases.

B. Providing Some Specific Nutrient Supplement

Studies show that many hospitalized sick dogs suffer from malnutrition, but by feeding corresponding prescription foods, the discharge rate of sick dogs can be greatly improved. From this, it can be seen that the auxiliary effect of prescription grains is still quite considerable. (Jia 2020)

Diarrhea, as a common disease for dogs, occurs frequently between the ages of three months and six months. Usually, the dogs will infect several enteropathogens when they suffer from diarrhea, and the most common ones are hookworms, ascarids, Giardia spp, Cryptosporidium spp, and Salmonella spp. (Tupler 2012) To solve with these enteropathogens, prescription food could be a good option. Since that intestinal prescription food would contain a kind of prebiotic called fructooligosaccharide, which could adjust the pH value inside, it could benefit the dogs to recover from diarrhea. Fructooligosaccharide will be broken into various short-chain fatty acids which could lower the high pH caused by diarrhea. With this change, bacteria that is beneficial to the intestine will increase, such as bifidobacteria, and the pathogenic bacteria will be inhibited. One of the volatile fatty acids that fructooligosaccharides will be broken down into is butyric acid. As an energy provider for the intestinal mucosa, butyric acid could help with mucosal repair. (Zhong 2018) Therefore, it could be shown that prescription food is beneficial for the pets by providing some nutrients for the targeted disease. 

C. Weight Management

Obesity among pets results from the excessive calories they consumed fewer than they need. Excessive calories lead to obesity, which will ultimately cause impairment of health and body function. In general, 20% to 25% above ideal body weight is considered as obesity. Research showed that overweight dogs were at higher risk for having chronic health problems earlier than dogs with normal weight. For cats, obese cats also faced increased risks for lots of health problems such as arthritis and diabetes mellitus, which the risk to have diabetes is about four-fold in comparison with normal cats. (Laflamme 2011) To control the weight in an optimal range, prescription food became a recommended option for many of the veterinarians. Research has shown that prescription food is effective for losing weight. On average, dogs lost weight at the rate of 1.02% per week and cats lost at the rate of 0.92%. (Vendramini et al. 2024) The prescription food uses high fiber and low fat to reduce the caloric intake and body weight. Some added L-cartinine for helping cats to lose weight safely and effectively. (Roudebush 2008) L-cartinine was a non-toxic amino acid derivative that significantly increased plasma carnitine analyte concentration and rate of weight loss at the same time. (Center et al. 2000) Another concept of weight management in cats suggested that altering animals’ metabolism by using low-carbohydrate, high-protein foods increases the concentration of serum beta-hydroxybutyrate. The increase of serum beta-hydroxybutyrate contributes to change in metabolism, which could lead to weight loss. (Roudebush 2008)

Sections 2: Limitations

Some limitations may stop people from using prescription food for their pets such as the high prices, its nature as an auxiliary product and the refuse from the animals. Nonetheless, there are some methods to mitigate the limitations of prescription pet food.

A. Only Supplement for Disease Treatment

Although prescription food had an impact to benefit the pet’s health, it could not replace medicine or surgery as a main treatment method for diseases. For example, for cats that had urethral obstruction, most cases need surgery to remove the blockage, because otherwise it may threaten their lives. However, after they had the surgery, veterinarians may suggest the cat to have prescription food to prevent further blockages. (Grossmann 2024)

B. High Price & Limited Availability

One of the limitations of prescription food is the high price of the prescription food. Because prescription food is highly specialized for each disease, the low demand may lead to high prices, which further hinder the steps toward prescription food for some customers. In China, the smallest packaging of prescription food is 1.5 kg which cost around 200 yuan (around 29 dollars) and these foods would only last for 2-3 days for a medium-sized dog. Therefore, it may need some consideration for some pet owners. (Zhong 2018)

C. Poor Palatability for Pets 

Other than high prices, the lack of palatability also leads to the refusal of pets. The ingredients may not be tasty for them. However, there are some solutions for this situation. For example, the pet owner could switch brands after communicating with the veterinarians. Different brands provide different flavors and there will be some that can attract the pets. Moreover, the pet owner could also choose to change to canned food because the canned food may provide stronger odor and meatier flavor. Kidney and urinary issues could also be mitigated by wet foods. Nevertheless, the wet foods may provide less calories than dry foods, so the pets may need to eat more which increases the cost. Therefore, it would also be a good choice to mix the dry foods with canned foods which dry foods could provide enough calories, and canned foods could increase the palatability. (Cornell University College of Veterinary Medicine n.d.)

Section 3: Pet Prescription Food with Herbal Medicine

A. Current application of herbal medicine

Herbal medicine, which is the application of plants for medical treatments, is a newly emerged ingredients in prescription diets, played effective roles on anti-inflammtion and immunoregulation. Urinary disease, especially urinary system disease, is common among pets, and the regular methods for treatments are antibiotics administration, specific prescription diets, and surgery in severe cases. The prescription diet incorporates herbal medicine, including Citri Reticulatae Pericarpium (chenpi), Poria cocos (fuling), Plantaginis Semen (cheqianzi), Alismatis Rhizoma (zexie), and Ophiopogonis Radix (maidong). Among these, Poria cocos and Alismatis Rhizoma had diuretic properties. Furthermore, Plantaginis Semen, Ophiopogonis Radix, Poria cocos, and Alismatis Rhizoma were able to possess anti-inflammatory and anti-tumor activities. Citri Reticulatae Pericarpium and Alismatis Rhizoma demonstrate the effects in clearing heat and resolving turbidity. The experimental results show that the herbal prescription diet could repair the bladder mucosal layer, which has an obvious improvement effect on bladder inflammation, and enhances the repair of the lower urinary tract mucosal barrier. Experiments have shown that the adjuvant treatment of herbal prescription food can accelerate the recovery of canine bladder inflammation and effectively shorten the duration of damage to the lower urinary tract caused by inflammation. (Shen 2020)

B. Future Application

Although the fact that the application of herbal medicine with pet prescriptions food is rare, it also implied that there is huge space for exploration and inventions. Many herbal medicine had proven their function on anti-inflammation and immunoregulation, since they include core active ingredient such as polysaccharides. For example, herbal medicines such as licorice and astragalus membranaceus include glycyrrhizic acid and astragalus polysaccharides respectively, can regulate key targets such as CASP3, TLR4, STAT3, IL6 and IL1B, and also signaling pathways such as MAPK, NF-κB and FoxO. (Yin et al. 2024) Since polysaccharides are one of the main active ingredients of medical and edible homologous traditional Chinese medicines (MEHTCMs) (Zhang et al. 2024), which means that they are also ingredients appear in daily food that has medical value, it could be proven that their safety as ingredients for pets prescription food. 

However, the main challenge that the quality of raw materials in herbal medicine. Because that their quality would largely affected by several factors such as its processing methods and storage conditions, which lead to unstable amount of the active ingredient. Therefore, it is important to establish a standardized system from cultivation to production for controlling the quality of herbal medicine. Moreover, it is also necessary to limit the pollutants in the plants. Harmful heavy metal such as lead, arsenic, cadmium and mercury were possibly accumulated in soil, and enter food cycle through the absorption of plants. (Pan 2024) These heavy metal promoted the production of reactive oxygen species, which is toxic to animals since it would result in endothelial dysfunction lipid metabolism distributions and disruption of ion homeostasis. Therefore, it is significantly important to establish a standard for evaluating the safety of the herbal medicine.

Discussion

The review synthesizes current evidence on the therapeutic roles of traditional pet prescription food and the emerging herbal prescription food in treating animal diseases. Overall, the findings suggest that pet prescription food is effective on adjuvant therapy, especially for chronic and metabolism-related diseases such as kidney disease, obesity and diarrhea (cite these three studies). The evidence suggested that prescription diets shows its ability to slow disease progression and enhance recovery outcomes compared to regular pet food. These effects are benefited from specific nutrient supplement such as omega-3 fatty acids, prebiotics, and functional amino acid (e.g. L-carnitine). 

In addition to traditional prescription diets, herbal prescription foods also show great potential in urinary system diseases and metabolic regulation. Evidence showed that a diet containing traditional herbal ingredients can exert anti-inflammatory, diuretic and mucosal repair effects, which accelerates the recovery of lower urinary tract inflammation. The bioactive polysaccharides and other active compounds found in some medicine and edible homologous traditional Chinese medicine provide a reasonable mechanism basing on these therapeutic effects, and also support their relative safety as dietary components. However, comparing with traditional prescription foods, the clinical evidence of herbal prescription diets remains limited, and their application in veterinary practice is still in its early stages.

Despite these benefits, there are barriers that restrict the wide adoption of pet prescription food. For example, high cost, limited accessibility, palatability issues, and their role as a supplement all limit their utilization. Although strategies such as mixed feeding could mitigate these obstacles, economic concerns remain significant consideration for pet owners.

Conclusion

In conclusion, both traditional prescription pet food and herbal prescription diets play significant supporting roles in the treatment and management of pet disease. Traditional prescription foods are recognized for their efficacy in disease such as kidney disease, obesity and gastrointestinal disease, mainly supplementing medical or surgical interventions by providing nutritional regulation for specific disease. Although herbal prescription foods are not very commonly used, they show considerable potential in treating urinary disease and inflammation and represent potential direction for future innovation in veterinary nutrition.

However, prescription food should be regarded as an auxiliary means of primary care rather than a substitute. Future research should focus on expanding high-quality clinical trials, especially those of herbal prescription diets, and establishing a standardized production and safety evaluation system for herbal ingredients. By addressing issues of cost, quality control and public awareness, prescription pet food may gain wider acceptance and play a more significant role in care.Declaation

References

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About the author

Selina Zhang

Selina is an independent student researcher with a strong passion on veterinary science, wildlife conservation and animal welfare. She is the leader of her school’s biology club and has gained extensive practical experience in animal care through clinical volunteering at animal clinics, including Concordia Pet Care Center. Her active leadership in the biology club and her clinical internship experience have sparked her strong interest in scientific research, driving her to explore academic solutions to veterinary challenges.

Driven by her commitment to promoting evidence-based veterinary care, her current research focus on evaluating the therapeutic effects of traditional and herbal prescription pet food in chronic disease management. She hopes to continue exploring the intersection of traditional medicine, pharmacology and veterinary nutrition to provide practical solutions for animal health.

The post Effects of Traditional and Herbal Pet Prescription Food on Treatment of Disease on Pets appeared first on Exploratio Journal.

Abstract

The automotive industry is rapidly changing together with increasingly tougher environmental regulations; including, among others, the shift towards use of low-carbon-footprint products, and ban of per- and polyfluoroalkyl substances (PFAS). The remarkable thermal stability, chemical resistance, and mechanical durability of fluorocarbon elastomers (FKMs) are essential in seals, hoses and tubings of internal combustion engines. These are difficult to match by any other materials making them so far irreplaceable.  The new regulations on PFAS, however, stimulated researchers to test the alternative non-fluorinated elastomers. These materials are additionally challenged by developments of new fuels, i.e. higher energetic synthetic e-fuels, which compromise their long-term performance. This manuscript summarizes use of FKMs in passenger cars, regulatory challenges and environmental concerns on PFAS, as well discussed technical challenges associated with substitution of fluorinated materials to be exposed with ethanol-based fuel, such as E85. Material replacement strategies, implications for road and race cars, and future developments in sealant technologies are discussed.

Introduction

Fluoroelastomers in Automotive Sealing Applications

Fluoroelastomers (FKMs) are a class of high-performance synthetic elastomers characterized by a fluorine-rich polymer backbone (60-75 wt.% fluorine), typically comprising vinylidene fluoride and hexafluoropropylene units (Scheme 1). FKMs were specifically developed to address sealing challenges in environments involving high temperatures, aggressive chemicals, and long service lifetimes, particularly in the automotive and aerospace sectors (Drobny, 2007). Places where, FKM-based parts are used in a combustion engine car are presented in Figure 1. Sealing materials used in the automotive engines and fuel systems are subjected to high temperatures, variable pressure, aggressive lubricants, and fuel compounds that are growing in complexity (Nishina, 2008). The FKMs, which are elastomers with fluorine-based polymer backbone, are characterized by an exceptional mix of heat resistance, chemical inertness, low permeability, and long service life (Moon et al., 2021). These properties have made FKMs the material of choice in critical components like O-rings, gaskets, shaft seals, injector seals, and fuel hoses, especially in areas of the engine where a failure would lead to leakage, emissions, or even safety hazards. Their elasticity and resistance to swelling and degradation have seen them become a standard material in the sealing technology of automobiles. However, currently FKM alternative sealants are also considered, such as silicone-based or nitrile-butadiene rubbers (Scheme 1). Their performance will be discussed in the sections below.

Influence of Alternative and Ethanol-Based Fuels on Elastomer Performance

The relevance of FKMs has escalated further with the diversification of automotive fuels. Blended fuels like E5, E10, and E85, biodiesel, and new synthetic e-fuels have been progressively replacing or supplementing conventional gasoline and diesel (Czerwinski et al., 2016; Muelaner, 2023). Fuel containing alcohol, e.g. higher concentration of ethanol, poses new threats to elastomeric materials because they are polar, hygroscopic, and may behave as swelling solvents. Ethanol can enter into elastomer networks, remove additives, and enhance swelling or embrittlement, ultimately degrading seal integrity (U.S. Department of Energy (DOE), n.d.). FMKs with high concentrations of fluorine (usually 69-71% fluorine) are less susceptible to these effects and have longer-lasting dimensional stability and mechanical performance even in long-term contact with alcohol-containing fuels (Stevens, 2006). This is the reason why they find extensive application in the fuel system parts, such as in-tank seals and tubing, where they are likely to be subjected to hostile fuel environments over extended periods.

PFAS Regulatory Pressure and Environmental Concerns

Although fluorinated materials have technical benefits, there is a growing wave of questioning the use of fluorinated materials because of the environmental and regulatory factors related to per- and polyfluoroalkyl substances (PFAS) (Améduri, 2023). PFAS have been referred to as “forever chemicals” due to their environmental persistence and their resistance to degradation and low bioaccumulation possibilities (Brun et al., 2023; Lee et al., 2025). Regulatory agencies, especially the European Union, are working towards general bans on PFAS that have cast doubt on the future use of fluorinated polymers in industries (European Commission, 2025). One of the main controversies is whether high-molecular-weight fluoropolymers like FKMs should be considered together with low-molecular-weight PFAS that are already known to be dangerous to the environment and health. Fluoropolymer can be subdivided into polymers where perfluorination resides either in the main chain or in the side chain (Figure 2). This differentiation is important, as in the advent of hydrolytic degradation, the perfluorinated side chains are released to the environment and their mobility and accumulation may be similar to other small molecular weight PFAS. In contrast, main-chain fluoropolymers, such as FKMs, do not hydrolyse and the risk of release of similar small molecular weight compounds is rather small.In turn, FKMs do not have high mobility and have low bioaccumulation; nevertheless, they are fluorinated in nature, which puts them in an ever-tighter regulatory environment.” FKMs do not have high mobility and have low bioaccumulation; nevertheless, they are fluorinated in nature, which puts them in an ever-tighter regulatory environment.

Sustainability Challenges and the Need for Material Substitution

This regulatory pressure is in line with an overall shift to sustainable mobility, such as the use of biofuels and e-fuels as solutions to lower greenhouse gas emission levels in internal combustion engines (Yılbaşı, 2025). Although these fuels have environmental advantages, they tend to cause compatibility challenges with materials, because they are more corrosive and chemically aggressive. This, in effect, makes it a significant technical challenge to replace fluorinated materials, as their unique performance characteristics remain difficult to replicate with non-fluorinated alternatives (Améduri, 2023). Any alternative substance cannot be inferior in terms of thermal stability, chemical resistance, elasticity, low permeability, and long durability, especially when subjected to fuels that are ethanol-based, like E85 (Sahu et al., 2022). This paper discusses the multifaceted nature of the relationship between material operation, fuel development, and regulatory requirements and explains why the substitution of FKMs remains one of the most pressing and unsolved issues in automotive material development.

Discussion

Currently Used Sealant Materials

Elastomers in Use: FKM and NBR

Fluoroelastomers (FKM) and nitrile butadiene rubber (NBR) (Scheme 1) are the most common elastomers used in automotive fuel and engine systems, chosen through a performance-to-cost ratio (Białecki et al., 2021). FKMs are normally utilized in the critical sealing processes that are subjected to high temperature, aggressive fuel, and extended working time (Asthana  et al., 2025). Their fluorine content is high, and this gives them high thermal stability, which means that they can run continuously above 200 C, and are also highly resistant to oils, fuels, and additives. Such characteristics render FKMs applicable in injector seals, O-rings, shaft seals, and in-tank fuel components. Conversely, NBR has found extensive use as a cost-sensitive component in certain applications because it is less expensive and good enough for non-polar hydrocarbon resistance of petroleum-based fuels and lubricants.

NBR reveals evident limitations despite the benefits in its economy, which is relevant in the contemporary operating conditions (Akhlaghi et al., 2015). It is rather thermally unstable with a maximum service temperature of approximately 120 °C, above which it becomes hardened and loses elasticity and acquires a high compression set. “Compare static thermal stability of NBR with FKM in TGA, Figure 3.” NBR is also highly susceptible to polar solvents and, therefore, is prone to swelling and degrading when subjected to fuels containing ethanol, like E10 or E85, which reduces the life of seals. On the other hand, FKMs are highly mechanically stable, have low fuel permeability, recover elastically at high temperature and alcohol-based fuels, and have a high service life covering mileage of over 100,000 km (Lee et al., 2022). Compare mechanical properties of NBR and FKM in Table 1. In turn, NBR is suitable for low-stress, low-cost applications, whereas FKMs are needed in high-performance, high-reliability automotive sealing system applications.

Fuel Types and Their Impact

The modern internal combustion engines use a wider variety of fuels, such as gasoline-ethanol mixtures (E5 and E10), high-ethanol fuels (E85), biodiesel, and synthetic fuels (Laskowski & Zimakowska-Laskowska, 2025). Chemical and physical characteristics of each fuel also have different values that affect engine performance and material behavior (Table 2). The ethanol fuels have a lower caloric value compared to gasoline, and thus, they consume more fuel to produce the same amount of energy (Yakın et al., 2022). On the other hand, higher octane rating of ethanol enables some engines to operate at higher compression ratios and even better efficiencies. Although E5 and E10 produce moderate variation of fuel system conditions, E85 produces a significant exposure of polar solvents and water absorption that can aggravate the chemical stress on elastomeric fuel-system components.

Synthetic fuels and biodiesel present a new range of problems. Biodiesel is more lubricious than standard diesel, which may be advantageous in fuel pumping and injecting, but it oxidizes more easily and is susceptible to microbial growth where there is water. These may result in the production of acidic by-products, which hasten the breakdown of elastomers, especially those of low chemical resistance. Biofuels are classified according to their physical state, technology maturity, the generation of feedstock, and the generation of products (Awogbemi et al., 2023). Synthetic fuels, such as e-fuels made of renewable electricity and captured carbon dioxide, are developed to attain similar properties to the conventional hydrocarbons without causing lifecycle greenhouse emissions (US Department of Energy, 2019). Despite being relatively cleaner and relatively chemically inert, they react to certain extent with elastomer alternatives according to certain formulations and additive packages

FKMs, PFAS, and Regulatory Debate

Fluoroelastomers are extremely resistant to alcohol-based fuels, have low permeability, and have a long service life, so they are an essential component in the automotive fuel system (Ameduri and Sawada, 2016). However, their fluorinated structure makes them the object of the extended regulations of PFAS. Even though the FKMs do not have the same mobility, bioavailability, and environmental behavior as low-molecular-weight PFAS, the regulatory definitions are generic. This has brought about confusion among manufacturers and suppliers, where alternative materials and fluorine-reduction strategies are being researched, even though there are no similar non-fluorinated substitutes with the same level of performance.

Strategies to Replace FKMs

Several alternatives are under development that will eliminate or limit the use of FKMs in automobiles. These consist of hydrogenated nitrile butadiene rubber (HNBR, Scheme 1), high-performance thermoplastic elastomers, and silicone elastomers that have improved fuel resistance (Joshi, 2025; Gao et al., 2025). Other mitigation strategies include hybrid seal or multilayer seal construction or surface coating, whereby the traditional elastomers are coupled with thin barrier seals to restrict fuel permeation (Figure 4). The compatibility of elastomers with various fuels indicates that most alternative rubbers (including HNBR and other engineered types) change their mechanical properties significantly under exposure to renewable and blended fuels, which makes it challenging to find alternatives with more or less the same performance as FKM ( Müller et al., 2024). Although they may partially reduce the effects of chemical attack and swelling, none of these solutions can be considered as having the same thermal stability, chemical resistance, and durability as FKMs, especially when exposed to ethanol-rich fuels like E85. Other alternative engineered elastomers such as HNBR, as well as most alternative rubbers, vary their mechanical properties greatly when in contact with renewable and blended fuels, especially when in extended contact with fuels high in ethanol (Conen, Haefele and Dahlmann, 2025).

Road Cars versus Race Cars

The operational and regulatory aspects vary significantly, and this difference in priorities leads to a significant difference between the selection of materials used in road vehicles and race cars. In racing use, performance, high temperature performance, and high temperature performance are crucial factors, and the need to match rapidly evolving fuel compounds is often the reason why FKMs or perfluoro elastomers are continued to be employed despite the cost or regulatory pressure (Katon, 2025). In contrast, road vehicles have to weigh between performance and cost-effectiveness, compliance with regulations, and durability during the long run due to the long service life (Adebowale, 2025). Although race cars still almost entirely use FKMs, the continued development of fluorine-free polymers and multilayer seal technologies implies that road vehicles can use other types of elastomer systems in the future (Mandlekar, Joshi & Butola, 2022; Valentini & Lopez-Manchado, 2020).

Summary

Fluor elastomers have been very important in providing reliability and safety of automotive engines, especially those with high temperatures in the fuel system and hostile fuels (Drobny, 2023). The shift to the use of ethanol-based and synthetic fuels, coupled with stricter regulations on PFAS, has put a lot of pressure on the need to substitute or redesign fluorinated substances. Although the FKMs are still unrivaled in terms of total performance, more so when it comes to accommodating E85 compatibility, regulatory and environmental issues are driving the development of alternative elastomers and hybrid solutions. Even in the near future, it is not probable that FKMs can be fully replaced without performance loss (Puga et al., 2025). Rather, the future of automotive sealants will be characterized by incremental changes in materials and an application-specific approach in both road and race applications. 

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About the author

DongHan Li

DongHan is currently Grade 11 student, studying in Beijing, China. During the course of high school, he has studied the A-level Curriculum in subjects such as physics and chemistry. DongHan has a strong interest in Engineering, especially in Chemical Engineering. Additionally, he has also found himself very intrigued by theories related to Nanotechnology along with fluid dynamics that have facilitated the process of completing this dissertation.

At the same time, DongHan’s interest in motorsports (Grand Touring 3 race cars ) has helped develop the general aim of this dissertation. As motorsports develop continuously over time, it is very promising and exciting to dig into and challenge the theories that already exist, hoping to offer alternative solutions to existing engineering challenges.

The post Fluoroelastomer Sealants and their Alternatives in Automotive Engines Supplied with E-fuels appeared first on Exploratio Journal.

Introduction

Millions of people return to video games after a day of work or school. Most of them replay the same game over and over, even after they’ve “finished” it or reached a high level. According to the Entertainment Software Association (ESA), 61% of the U.S. population (ages 5–90) plays video games at least one hour per week. Among many reasons, one of the main things that makes video games so popular is the competitive system behind them. These systems can take forms like ranked ladders, leaderboards, or PvP (player versus player) matches. They turn gaming from a solo hobby into a social competition. Competitive systems give players goals, opponents, and recognition, and because of this, they hold attention more than other hobbies.

Take League of Legends as an example. The game builds everything around competition. Players team up with four others and face another team of five. After each match, a player’s rank points go up or down based on whether they win or lose, which places them in tiers from “Iron” all the way to “Challenger.” This system gives players a clear goal to work toward and a platform to prove themselves. When players improve, they see it directly in their rank. They also get matched with others at similar skill levels. These features help explain why League of Legends has stayed popular for so long.

Studying how competition keeps people engaged in games can help us build healthier systems: not just in video games, but in companies, schools, and other real-world situations. Competition becomes toxic when it increases hostile behavior, stress, and frustration, or when it pushes players toward unhealthy addiction. Research on online multiplayer communities shows that unclear feedback and harsh punishment systems lead to more hostility and verbal aggression (Kordyaka, Jahn, & Niehaves, 2020; Kou & Nardi, 2014). A healthy competitive system, on the other hand, offers fair challenges, clear rewards, and chances to cooperate. These features tend to build intrinsic motivation and teamwork, helping players stay engaged in positive ways (Deci & Ryan, 2000; Hamari & Keronen, 2017). By understanding what keeps people playing, we also learn what pushes them away. Knowing how competition works in games can help us create environments where people grow under pressure instead of getting hurt by it.

The results show that different competitive systems create different patterns of engagement. PvP attracts the most players, while Ranking leads to the highest time and money investment. Systems that emphasize status pull players in deep, but they also raise emotional pressure: stress, burnout, and addictive behaviors are clearly higher in Ranking and PvP. Timing-based and achievement systems draw smaller but dedicated groups who care about self-improvement and finishing goals, though they struggle with repetition and quitting tied to cost. Non-competitive systems, while showing the lowest engagement levels, give casual players important spaces without pressure. Getting the right mix between these systems matters, and choosing the right combination could encourage sustainable, healthy engagement in competitive environments. 

This study used an anonymous online survey distributed through social media. The survey included structured questions designed to capture participants’ gaming behaviors, preferences, and motivations. To measure gaming intensity, the survey asked about weekly playtime. Genre preference came from asking participants to name their most-played game type. Financial investment was measured through a question about average monthly spending on games and in-game purchases.

To understand competitive orientation, the survey asked whether participants preferred games with strong competitive features like ranked ladders, leaderboards, or PvP modes. Game attachment was measured by asking how often players replay the same game instead of switching to new ones. Motivational factors came from asking respondents to pick their main reason for playing: competition, story immersion, social interaction, or relaxation. The survey also included questions about emotional responses to winning and losing, capturing how competitive play affects players emotionally. Another question asked about how much players value visible recognition systems like rankings, badges, or achievements. Finally, the survey collected demographic information: age group, gender, and participation in other activities: to use as control variables. The whole survey took about three minutes to finish.

Participants came from a Chinese college population. Recruitment happened mostly through online channels commonly used for campus surveys, including student social media groups and course-related platforms. In total, the study collected 1,114 valid responses. The sample was 60.14% female (n = 670) and 39.86% male (n = 444). Age skewed young: 58.89% were 18–25, followed by 17.06% under 18, and 9.96% aged 26–30. The rest were spread across older groups. Education levels matched the college setting: 44.34% were undergrads, 23.25% had associate degrees, and smaller groups reported junior high or below (10.68%), high school or technical school (7.56%), or graduate degrees and above (12.39%). This makes the sample mostly young, educated, and slightly more female, which fits what you’d expect in Chinese universities today.

Literature Review

To better understand whether my observations about competitive games are shared by researchers, it is helpful to look at how previous studies have examined competition, motivation, and gaming behavior.

Previous research has shown that competition plays an important role in shaping player behavior in digital games. Studies on online multiplayer communities suggest that competition system can significantly increase player engagement, but may also lead to negative outcomes such as stress, frustration, and hostile interactions when design elements are unclear or overly punitive (Kou & Nardi, 2014; Kordyaka, Jahn, & Niehaves, 2020). These findings indicate that competition itself is not inherently harmful, but its effects depend largely on how it is structured and experienced by players.

From a motivational perspective, research has emphasized that players are driven by more than simple external rewards. According to self-determination theory, motivation in games can be supported when players experience autonomy, competence, and relatedness (Deci & Ryan, 2000). Building on this idea, studies on game engagement and gamification suggest that transparent feedback, achievable challenges, and meaningful recognition systems are more likely to promote sustained and positive participation (Hamari & Keronen, 2017). In contrast, competitive environments that focus excessively on ranking, punishment, or exclusion may undermine intrinsic motivation and increase emotional pressure.

Research on adolescents and online games further highlights the complexity of game engagement. Large-scale studies in China have shown that online games have both positive and negative impacts on minors. On the one hand, games can provide enjoyment, stress relief, and opportunities for social interaction; on the other hand, a proportion of adolescents display signs of excessive use and difficulty disengaging from games (Tian & Wang, 2022). Importantly, this research suggests that problematic gaming behavior cannot be explained by a single factor, but is related to a combination of individual experience and game structure.

While existing studies have examined gaming addiction, motivation, and social effects separately, fewer studies focus specifically on how differentcompetition system —such as player-versus-player modes, ranking systems, or goal-based challenges—shape patterns of engagement and risk. Most discussions treat competition as a general feature, rather than distinguishing between its different forms.

Based on this gap, the present study focuses on how various competition system are associated with player engagement, motivation, and potential addictive experiences. By comparing different gameplay structures, this research aims to provide a more detailed understanding of how competition operates within games, especially among younger players.

Method and Participants

This study employed an anonymous questionnaire-based survey to examine the relationship between competition system and player engagement in digital games. 

Gaming intensity was measured through self-reported weekly playtime, while genre preference was assessed by asking participants to identify the type of games they played most frequently. Financial investment in gaming was measured using a question on average monthly spending on games and in-game purchases. To examine competitive orientation, the survey included items assessing participants’ engagement with competitive features such as ranked ladders, leaderboards, player-versus-player modes, achievement systems, and time-based challenges. Participants were also asked to report their primary motivation for playing games, including competition, narrative immersion, social interaction, relaxation, and self-improvement.

In addition, the questionnaire included items measuring emotional responses to winning and losing, as well as the perceived importance of visible recognition systems such as rankings, badges, or achievements. Experiences related to gaming addiction were assessed using a series of frequency-based items capturing behaviors such as excessive play, difficulty stopping, emotional dependence, and perceived impact on daily life. Most attitudinal items were measured using five-point Likert scales ranging from 1 (strongly disagree) to 5 (strongly agree). Demographic variables, including age group, gender, educational background, and participation in other activities, were also collected to serve as contextual variables.

Participants were recruited using a non-probability convenience sampling method, primarily through online distribution channels commonly used for campus surveys, including student social media groups and course-related communication platforms. In addition, some responses were collected through school-based channels, allowing access to younger participants. As participants were recruited based on accessibility rather than random selection, the sample does not represent a probability-based population.

A total of 1,114 valid responses were collected. The sample was 60.14% female (n = 670) and 39.86% male (n = 444). The age distribution was heavily concentrated among young people, with 58.89% aged 18–25, followed by 17.06% under 18 (n = 190) and 9.96% aged 26–30, while the remaining respondents were distributed across older age groups. Educational attainment reflected the recruitment context, with most participants reporting undergraduate or college-level education.

Due to the relatively smaller number of adolescent respondents, comparisons between adolescents and adults in this study are presented as exploratory analyses, focusing on identifying patterns and tendencies rather than making population-level generalizations. As the sample was not randomly selected, the findings of this study should be interpreted with caution and are intended to provide insight into possible relationships between competitive game design and player engagement, rather than to represent all player populations.

Results

The study yielded 1,114 valid responses from adolescents and young adults (under 30), providing a broad overview of how players experience different competition system. When categorized by primary competition type, 578 respondents reported most frequently engaging in player-versus-player (PvP) modes, followed by 417 respondents engaging in cooperative-task or player-versus-environment (PvE) modes. Smaller proportions reported primarily engaging in ranking systems (n = 184), achievement-based systems (n = 215), timing-based challenges (n = 130), and non-competitive modes (n = 473). The analysis incorporates both behavioral indicators—such as time spent and money spent—and psychological indicators, including motivation, quitting intention, and addictive tendencies.

Player Investment Across Competitive Systems

Table 1

As shown in Table 1, different competition systems are associated with distinct levels of player investment. Among all gameplay modes, ranking-based systems exhibit the highest average playtime (41.25 minutes) and the highest average financial spending (522.66). These values are notably higher than those observed in the two most common systems, PvP (33.32 minutes; 431.39) and PvE (32.55 minutes; 426.08).

PvP and PvE represent the two most fundamental competition systems in the dataset, capturing direct social confrontation and cooperative performance respectively. They also function as foundational building blocks for other systems, as ranking, timing, and achievement-based modes often incorporate elements of either PvP or PvE. Therefore, comparisons below focus primarily on these two systems, while highlighting how ranking systems amplify their competitive intensity.

The higher levels of time and monetary investment associated with ranking systems suggest that structured competition, particularly when tied to progression ladders and status indicators, is especially effective in sustaining prolonged engagement.

In contrast, achievement-based and non-competitive systems show lower investment levels. Achievement players spend an average of 33.14 minutes and 411.78, while non-competitive players spend 34.22 minutes but only 377.23, the lowest spending among all modes. This suggests that without competitive pressure or visible status rewards, players are less motivated to invest financially.

Motivational Structures in Competitive Gameplay 

Table 2

Beyond behavioral investment, Table 2 illustrates that competitive engagement is driven by multiple motivations rather than the pursuit of victory alone. In ranking systems, players report high motivation not only for ranking and winning (3.76), but also for emotional immersion (3.98), stress relief (4.11), and recognition (3.54). Motivation related to learning and self-improvement (3.35) also remains relatively strong.

PvP modes show a similar but slightly less intensified pattern, with particularly high scores in achievement (3.99) and immersion (3.83). PvE systems, in contrast, emphasize collaboration and immersion, with immersion reaching 4.10 and friend-related motivation at 3.99, reflecting a more stable and predictable engagement structure.

These findings suggest that competition operates as a multi-dimensional motivational environment, fulfilling players’ needs for progress, validation, emotional release, and social connection, rather than functioning solely as a win–lose mechanism.

Timing-based systems stand out for their strong learning motivation (3.846) and freedom (3.7), reflecting their appeal to players who enjoy self-improvement and efficiency. Achievement systems show more moderate scores across all motivational dimensions, while non-competitive modes score lowest on most items except freedom (3.691), confirming their role as pressure-free spaces for casual play.

Addictive Experiences and Competitive Intensity 

Table 3

In addition to increased engagement, competitive and ranking-based systems show a higher concentration of addictive experiences, as presented in Table 3. Players primarily engaged in ranking modes report higher levels of excessive play (2.89), perceived impairment in daily life (2.30), and emotional escape (2.87) compared to other gameplay structures. Financially related addictive behavior is also most prominent in ranking systems, with spending reaching 2.36, the highest among all modes.

PvP modes also display elevated scores on several addiction-related indicators, including overplay (2.79) and craving (2.25), though these values remain lower than those observed in ranking systems. Importantly, while average scores across all modes remain below the threshold of severe addiction, the clustering of higher values in ranking-based gameplay suggests that competitive intensity may increase the likelihood of addictive tendencies emerging, particularly when repeated match cycles and ranking pressure are present.

Among less intensive systems, achievement-based play shows moderate addiction scores, with overplay at 2.753 and craving at 2.163. Timing-based systems have relatively low spending addiction (1.885), the lowest among all modes, suggesting that players focused on efficiency are less likely to spend money excessively. Non-competitive systems consistently score lowest on most addiction indicators, including impairment (1.907) and withdrawal (1.879), supporting their image as healthier play options.

Quitting Intentions and Structural Pressure 

Table 4

Finally, Table 4 demonstrates that players’ intentions to quit are more closely associated with structural pressures than with a simple loss of interest. In ranking systems, players report relatively high levels of stress (3.59) and financial cost (3.92) as reasons for considering withdrawal. The pressure of unmet achievements is particularly notable, with ranking modes scoring 4.02 on “no achievement,” the highest among all systems.

PvP and PvE modes show similar patterns, where quitting intentions are more strongly linked to cost, stress, and unmet progression rather than boredom alone. In contrast, purely non-competitive modes display higher quitting scores related to difficulty and lack of achievement, but comparatively lower stress levels.

These results indicate that players are often driven away not because games become uninteresting, but because competitive structures introduce sustained emotional, financial, and performance-related pressures that gradually outweigh enjoyment.

Summary of Results

The results of this study suggest that competitive and ranking-based game modes are strongly associated with higher player engagement. One possible explanation is that these systems provide players with clear goals and immediate feedback. When players win a match or improve their rank, they receive a sense of progress that encourages them to continue playing. Even after losing, the desire to recover lost points or improve performance may encourage players to play “one more round.” Both of these responses happen in real time during and right after the game. From the players’ perspective, ranking systems make progress visible and measurable, which may help explain why they are linked to longer playtime and higher investment.

Another important finding of this study is that competition is driven by multiple motivations rather than only the desire to win. The data shows that players in competitive modes report strong motivations related to improvement, recognition, emotional release, and immersion. This suggests that competitive gameplay satisfies different psychological needs at the same time. For some players, competition offers a way to test their skills and gain recognition, while for others it provides a way to relieve stress or feel more emotionally involved. As a result, competitive systems may be especially engaging because they combine achievement, emotion, and social interaction into a single experience.

However, the findings also indicate that higher engagement in competitive systems is often accompanied by increased pressure. Players in ranking modes report higher levels of stress, spending, and addictive experiences compared to other gameplay structures. This suggests that competition has pros and cons. While it makes games more exciting and meaningful, it may also increase the difficulty of stopping or taking breaks, especially when progress and performance are constantly evaluated. In addition, the results related to quitting intention show that players are more likely to consider quitting due to stress and cost rather than a lack of interest. This implies that players do not necessarily lose enjoyment, but may feel overwhelmed by the demands of competitive systems.

Beyond the major competitive systems, timing-based and achievement-based modes serve more specialized functions. Timing systems appeal to players who value efficiency and measurable self-improvement, as shown by their high learning motivation scores. However, their narrow player base and high cost-related quitting suggest they work best as complementary features rather than core gameplay loops. Achievement systems, while effective for short-term goal completion, struggle with long-term retention once objectives are exhausted. This explains their high quitting scores related to lack of interest, suggesting that players simply run out of things to do.

Non-competitive systems, despite their low engagement intensity, play an important balancing role in the gaming ecosystem. They provide pressure-free spaces for relaxation, creative expression, and casual social interaction. The high freedom scores in this mode suggest that some players actively seek environments without performance evaluation. However, the elevated quitting motivations related to lack of achievement indicate that pure sandbox experiences may need occasional structure or events to maintain long-term interest. For game developers, this suggests that offering a mix of competitive and non-competitive modes within a single game could support a wider range of player needs: intense ranked play for some, casual exploration for others.

This study has several limitations. First, the data was collected through an online questionnaire, which means the results rely on self-reported experiences and cannot determine cause-and-effect relationships. Second, although the sample size is relatively large, the number of adolescent respondents is smaller compared to adults, so comparisons between age groups should be interpreted cautiously. Future research could use interviews or experiments to better understand how players experience competition over time, or focus specifically on younger players to explore how competitive systems influence their gaming habits.

Overall, this study suggests that competition plays an important role in shaping player engagement. Competitive systems appear to increase both enjoyment and pressure, making them powerful but complex elements of game design. Understanding how different competitive structures influence player behavior may help players, developers, and researchers better reflect on how games are designed and experienced.

This study explored how different competitive systems in digital games are related to player engagement, motivation, and potential addictive experiences. Based on data collected from 1,114 players, the results show that competitive structures: especially ranking-based systems: are associated with higher levels of time investment, financial spending, and emotional involvement. Compared to other gameplay modes, ranked competition appears to intensify both engagement and pressure.

One key finding of this research is that competition motivates players in multiple ways. Rather than being driven solely by the desire to win, players in competitive systems also report strong motivations related to self-improvement, recognition, immersion, and emotional release. This is especially true in timing-based systems, where learning and freedom emerge as primary drivers, and in achievement systems, where goal completion provides structure and direction. Even non-competitive modes serve a purpose, offering players autonomy and relaxation without performance pressure. This suggests that different competitive structures fulfill different psychological needs, and no single system works for all players.

At the same time, the results indicate that higher engagement in competitive modes often comes with increased stress and addictive tendencies. Players in ranking systems are more likely to report excessive play, difficulty stopping, and concerns related to spending and pressure. Importantly, quitting intentions are more closely linked to stress and cost than to a loss of interest, suggesting that players may still enjoy the game but feel overwhelmed by the demands of competitive structures.

This study considers competitive systems as both helpful and potentially dangerous. They can stimulate enjoyment and engagement in the gaming process, but they may also increase the risk of unhealthy play behaviors associated with higher levels of addiction. Based on an online questionnaire survey of 1,114 participants and further analysis, this research provides a clearer understanding of how different competitive systems influence player engagement.

References

Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268.

Hamari, J., & Keronen, L. (2017). Why do people play games? A meta-analysis. International Journal of Information Management, 37(3), 125–141.

Kou, Y., & Nardi, B. (2014). Regulating anti-social behavior on the Internet: The example of League of Legends. Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW), 616–628.

Kordyaka, B., Jahn, K., & Niehaves, B. (2020). Towards a unified theory of toxic behavior in video games. Internet Research, 30(4), 1081–1102.

Tian, F., & Wang, L. (2022).  A study on minors’ online game use and its impacts.  Youth Research, (3), 45–57.

About the author

Charles Shang

Charles is a 12th grade student based in San Francisco, CA.

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Introduction

“87% of neighborhoods in San Francisco undergoing gentrification were once redlined as hazardous” (“From Redlining to Gentrification: The Policy of the Past that Affects Health Outcomes Today”). Redlining was a discriminatory practice in which banks and government agencies denied services such as insurance and mortgages to residents of neighborhoods with large African American and other minority populations. Over time, this practice caused significant disinvestment and economic deterioration of neighborhoods it affected, leaving many people in a fixed place of poverty that prevented upward socioeconomic mobility.

Established in 1933 as a part of Franklin Delano Roosevelt’s “New Deal” program to lift the country out of economic depression, the Home Owners’ Loan Corporation (HOLC) provided mortgage relief to homeowners at risk of losing their homes through foreclosure, in order to stabilize the housing market. As a part of this process, the HOLC created numerous residential security maps, grading different neighborhoods A-D (A being a highly secure and desirable neighborhood & D being a hazardous neighborhood) in about 200 different U.S. cities. Though aiming to create stability in the housing market, these letter grades were primarily based upon the socioeconomic, racial, and ethnic makeup of the neighborhoods’ residents, which facilitated the development of discrimination in the U.S. housing market. With the Johnson administration’s passage of the Fair Housing Act in 1968, any means of housing discrimination on the basis of race, sex, familial status, nationality, and disability were prohibited, thereby marking the closure of the HOLC’s rampant redlining practices of the mid-20th century. However, despite the practice’s prohibition, redlining had already caused a large amount of socioeconomic damage on the communities it had impacted, through a ripple effect of discrimination prevalent in many of society’s pillar institutions (ie schooling, employment, healthy food access)

In this paper I aim to answer the following question: What are the long-term economic impacts of 1930s-era HOLC redlining in the San Francisco Bay Area? By focusing on the quantitative relationships between redlining tract coverage and census data of racial demographics, household income, educational access, and employment, this paper aims to quantify the extent of redlining’s association with economic disparity throughout the late 20th and early 21st centuries through distributional impacts, categorical comparisons, and regression analysis.

From conducting distributional, categorical, and regression analyses, there are several patterns that can be concluded about the long-term economic impacts of New Deal-era HOLC redlining in the Bay Area. Firstly, the distributions holistically showed minimal change in shape over time indicating that the economic indicators measured stayed consistent over the course of several decades. This consistency goes to show that the economic impacts caused by redlining are solid and aren’t weak enough to change over time. Secondly, the regression analysis showed a negative relationship between income and redlining tract coverage with an increasing slope magnitude over time and a statistically significant relationship between the two variables indicated by the very low p-values.  

Section 1: Distributional Impacts

To examine the persistent long-term economic impacts of redlining across different HOLC-graded neighborhoods (graded on desirability), I first generated histograms of median household income (1980-2000), unemployment (1980-2000), and white-occupied housing (1980-2020) across HOLC grades A-D, which reveal several long term distributional economic trends.

Histograms were chosen because they allow one to see the persistence or change of these economic patterns over time by noticing a persistence of change in the spread and shape of the census data across HOLC grades. The incorporation of histogram series by time period with the four different grades per serie allows one to see variation within each grade and how the socioeconomic indicator of one grade changed over time relative to another. Each histogram plots the relative frequency of a given census variable across HOLC tracts A-D as defined by the 1930s HOLC redlining maps. By using relative frequency histograms rather than raw count histograms, the distributions are normalized which allows for fair and accurate comparison across grades that have a different number of census tracts. To ensure accurate comparability over time, the relative frequency histogram that plots median household income (1980-200) across HOLC grades A-D were converted from nominal US dollars to real 2020 US dollars using the Bureau of Labor Statistics’ annual average CPI values.

Subsection 1A: Median Household Income

The first socioeconomic indicator is real median household income. This variable measures the typical earning level of all households in a neighborhood, which is a strong indicator of overall economic opportunity in that neighborhood. Because nominal incomes change with inflation, the median household incomes were converted from nominal to real 2020 U.S. dollars using annual average CPI values from the U.S. Bureau of Labor Statistics. 

The first observation that can be drawn from Figure 1.1 is that the shape of the distributions of median household income for each HOLC grade remains approximately the same consistently across all three dates of measure. This indicates that aggregate household income for each grade persisted over the period of measure.

The second observation that can be drawn from Figure 1.1 has to do with the differences in intergrade clustering and spread of the data. Grade A’s distribution has a slight right-skew with a moderately-large income range that persists across the three dates of measure. Moving from the Grade A distribution to the Grade D distribution, the data gradually shifts left with each grade closer to D. Grade D’s distribution shows one, a high level of clustering at the left side of the left side of the histogram and two, an income range that is significantly smaller than that of Grade A’s distribution. These two observations continue throughout the three dates of measure.

From these observations, it can be concluded that Grade A Bay Area neighborhoods have a larger range of median household income values with fewer observations of lower median household income values. This conclusion is in accordance with the inference that those in a grade with greater security and desirability tend to have higher job opportunity, educational access, and healthcare access. The subtle right-skew in Grade A’s distribution indicates that a smaller proportion of tracts have exceptionally high incomes which increases the mean and pulls the distribution’s tail rightward. The gradual leftward shift of the distributions from Grade A to Grade D indicates that as the magnitude of risk assessed by the HOLC for the tracts is inversely proportional to the median household income for the tracts. Moving to Grade D, it can be concluded that tracts judged to have lower security and desirability by the HOLC have a smaller range of median household income values and a high proportion of observations of lower median household income. This conclusion is in agreement with the inference that individuals in this grade tend to have lesser job opportunity, lesser educational access, and lesser healthcare access, traits which undermine ability to achieve high household income.

In addition, the moderately-large range of income denoted in Grade A’s distribution hints at a more discrete but key principle of 1930s HOLC redlining: racial prejudice. As observed in Grade D’s distribution, there was a visible clustering of tracts toward the left of the histogram around the lower income values. Intuitively, this logic should apply to Grade A as well but in an opposite fashion: clustering of tracts toward the right of the histogram around the higher income values. However, in Grade A’s distribution there is a significantly-sized range and spread of income, much larger than that of Grade D’s distribution, indicating that Grade A neighborhoods contained households with a variety of median household income values. From this distributional observation, it can be understood that HOLC redlining grading was deeply influenced by racial prejudice, more so than objective economic data for a lot of the time.

Subsection 1B: Unemployment

The second socioeconomic indicator is percent of civilians unemployed (16+). This variable measures the share of the working-class population per grade that are actively seeking employment but cannot find work. Redlined neighborhoods often see disinvestment and lower amounts of socioeconomic mobility so distributional unemployment is a strong indicator of the severity of redlining experienced by grade.

Similar to the distribution of median household income across HOLC grades, the first observation drawn from Figure 1.2 is that consistently across all three dates of measure, the shape of the distribution for each respective HOLC grade remains approximately the same, with only a few minor shifts, which indicates that unemployment shares for each grade persisted over time. This persistence in unemployment suggests that the socioeconomic division caused by 1930s HOLC redlining has stayed relatively intact in the latter half of the 20th century, with census level unemployment shares continuing to mirror structural inequalities imposed by HOLC redlining maps.

The second observation drawn from Figure 1.2 is concerned with the differences in intergrade clustering and spread of the data as well. Generally, these differences are the same as in Figure 1.1 but a mirror flip. Grade A’s distribution shows high left-clustering, a small right-skew, and a very high proportion of observations on that side of the histogram. Moving from the Grade A distribution to the Grade D distribution, the data gradually gains overall spread/range and magnitude of right-skew while also losing peak height. Grade D’s distribution shows a range and median greater than that of Grade A. This pattern of inter-grade shifting from A to D remains approximately the same over the period of measure.

From these observations, it can generally be concluded that the magnitude of risk assessed by the HOLC for the tracts is directly proportional to the percent of civilians (16+) unemployed for the tracts. The association between these two variables is consistent with the inference that redlined neighborhoods tend to have lower economic opportunity, in this case job access, resulting in a higher unemployment rate in these tracts. While the median percent of civilians (16+) unemployed increases moving from Grade A to Grade D, the magnitude of right skew also increases which means that there is a higher degree of variability in tracts deemed less secure and desirable by the HOLC. Economically, this increase in variability in percent of civilians (16+) unemployed from Grade A to Grade D means that the magnitude of risk assessed by the HOLC for the tracts is associated with a higher degree of economic volatility in the tracts. These tracts that have experienced a high amount of redlining have also seen uneven patterns of disinvestment, reinvestment, demographic/population change, gentrification, industrial restructuring, factors which are greatly responsible for a high variation in unemployment in these tracts. In addition to an increase in magnitude of right skew from Grade A to Grade D, a decrease in peak height is also observed. This means the magnitude of risk assessed by the HOLC for the tracts is inversely proportional to the proportion of observations made. Similar to an increase in spread, a decrease in peak height also denotes a proportional relationship between degree of redlining and degree of economic volatility observed. From a statistical standpoint, the decrease in peak height, or flattening, of the distribution means that a fewer proportion of tracts share a common unemployment rate for civilians (16+). This flattening represents a growing internal heterogeneity suggesting that redlining produced a fragmented and nonuniform economic landscape in the areas it greatly impacted.

Subsection 1.C: White Share

The third socioeconomic indicator is percent of white-occupied houses. This variable measures a specific racial composition of occupied housing units. Historically, redlined neighborhoods in the mid 20th century saw a large amount of urban flight in which primarily caucasian residents departed urban areas for suburban neighborhoods. As a result of this exodus, over time, redlined neighborhoods saw a change in white residents so by measuring this variable, we will see how the magnitude and direction of this change across grades and the fluctuations in change over time. 

Similar to the previous two distributions, the first observation that can be drawn from Figure 1.3 is that across the five dates of measure, the shape of the distribution for HOLC grades A, B, and C remain approximately the same, with only a few minor shifts. This indicates that for these grades, the distribution of percent of white occupied homes persisted over the course of 4 decades. Likewise to the other socioeconomic indicators measured in Figures 1.1 and 1.2 respectively, the persistence of shares of white occupied homes suggests that the census-level outcomes of the racial bias  ingrained into HOLC redlining maps has seen very minimal change in the highly to moderately secure and desirable tracts (A-C), indicating that housing segregation on the basis of race has persisted over time in the Bay Area.

The second set of observations that can be drawn from Figure 1.3 concerns the shape of each grade’s distribution over the period of measure: what the shape means and for Grade D, what a shift in the distribution’s shape means. Firstly, moving left to right from Grade A to Grade D, there is a gradual flattening of the distribution, most significantly moving from Grade A to Grade B, and there is a shift from a right-skew to a left-skew. Moving vertically down the figure from 1980 to 2020, the distributions of Grades B, C, and D see a subtle and gradual increase in aggregate peak height over time. In Grade D, there is a sharp increase in proportion of observations over time at the 7-20% range of the 2020 distribution.

From these observations, it can be concluded that magnitude of risk assessed by the HOLC for the tracts is inversely proportional to the percent of white-occupied houses for the tracts over time. As the HOLC grade declines in security and desirability, the distribution becomes increasingly concentrated toward lower percentage values of white-occupied houses. This inverse association, shown by the shift of a right-skew to a left-skew from Grade A to Grade D in each date of measure, confirms our understanding of HOLC redlining having a basis of racial prejudice, as lower-tier grades and areas with higher levels of redlining tend to have a greater minority demographic and a lower majority, in this case caucasian, demographic. The flattening of the distributions in the earlier dates of measure (1980 and 1990 primarily) indicate an increase in demographic variability as tracts become more “hazardous.” While secure and desirable areas remain racially homogenous with a high proportion of caucasians, areas with lower security and desirability are more racially heterogenous reflecting both racial segregation’s influence in HOLC redlining as well as subsequent population shifts driven by disinvestment and suburbanization. The increase in overall peak height for Grades B, C, and D but retainment of a roughly flat shape relative to Grade A’s distribution indicate that there is a greater amount of census data concerning white-occupied housing moving forward in time, but the demographic trends revealed by this data remain persistent as mentioned in detail above. The sharp increase in peak height in 2020 at the 7-20% range of the Grade D histogram indicates that there is a significantly higher proportion of observations concentrated around the lower percent of white-occupied houses in recent times, a trend that can be explained by “white-flight” and suburbanization. This migratory occurrence is defined as the migration of primarily caucasian residents from urban to suburban areas, which results in the economic degradation of urban areas through decreased funding and overall maintenance.

Section 2: Categorical / Group-Level Comparisons

To further explore the economic impacts of 1930s HOLC redlining in the Bay Area, I used categorical plots to visualize redlining’s impact through median household income and educational attainment across HOLC grades A-D.

Definitionally, a categorical plot allows for comparison of a single numerical variable across four levels of categorical variables, in this case, each level corresponding to a HOLC grade A-D. The important distinction that needs to be made in order to understand what the differences are in the displaying of categorical variables (HOLC grades) is the difference in interpretation over time for the histograms vs. the categorical plots. The histogram focuses on distributional change within a singular HOLC grade over time, which provides insight into intra-grade socioeconomic change over the period of measure. On the other hand, the categorical plot focuses on the change in inter-grade variation over time for a given socioeconomic indicator.  Due to this difference, I chose to incorporate categorical plots to supplement the distributions in order to visualize comparative disparities between HOLC grades.

Furthermore, in connecting the two models, a single bar within a categorical plot can be interpreted like a distribution for the HOLC grade that the bar represents, through the spread of data points within the bar.

Subsection 2A: Median Household Income

The first socioeconomic indicator to be analyzed categorically is median household income (real 2020 USD) across HOLC grades A-D. In the figure that assesses this variable, there are three categorical plots, one plot for each period of measure, 1980, 1990, and 2000 respectively.

The first observation that can be drawn from Figure 2.1 is the clear downward trend from Grade A to D that is consistent across all three dates of measure, with Grade A having the highest peak and Grade D having the lowest peak. The second observation that can be drawn from Figure 2.1 concerns intra-grade variability indicated by the distribution of data points within each HOLC Grade’s bar. Consistently across all three dates of measure, Grade A tracts show the greatest intra-grade variability, indicated by a greater spread of data points within the bar. As the HOLC grade declines however, there is a decrease in intra-grade variability, indicated by the increasing clustering of data points within each bar. The third observation that can be drawn from Figure 2.1 is an increase in the peak height for each HOLC Grade’s bar over time, while the vertical separation between each bar remains approximately equivalent over time. 

From the first observation, it can be roughly concluded that magnitude of risk and insecurity determined by the HOLC and the median household income are inversely proportional for the tracts. This observation is consistent with the basis of redlining, in which redlined neighborhoods saw high levels of disinvestment and economic deterioration, preventing upward socioeconomic mobility for residents of these tracts, therefore explaining why residents of redlined tracts tended to have lower median incomes than those of non-redlined tracts. From the second observation concerning intra-grade variability, the higher levels of variability in tracts deemed less risky and more secure by the HOLC indicate that in these tracts, there is a greater degree of economic opportunity and mobility, providing an explanation for a wider spread in Grade A and a tighter clustering in lower grades, where many residents of redlined tracts are stuck in a lower socioeconomic position and unable to advance upwards. From the third observation concerning the increase in relative heights of each HOLC Grade’s bar over time, we can conclude that across all tracts, redlined or not, general development over the period of measure through technological innovation and globalization promoted the median household incomes for each HOLC Grade. Despite this overall increase, the vertical separation for each catplot between each HOLC Grade remains approximately equivalent suggesting that relative disparities between grades persisted despite overall income growth over the period of measure.

Subsection 2B: Educational Attainment

The second socioeconomic indicator to be analyzed categorically is educational attainment across HOLC grades A-D. This variable will be measured by the percent of adults 25 and older with 4 or more years of college education. In the figure below, there are three categorical plots, one plot for each period of measure, 1980, 1990, and 2000 respectively.

The first observation that can be drawn from Figure 2.2 is the clear downward trend from Grade A to Grade D across all three dates of measure, with Grade A having the highest peak and Grade A having the lowest peak. The second observation that can be drawn is the gradual upward shift in each grade over time, shown by the increasing peak height for each HOLC Grade’s bar. In connecting these two observations, we see that the difference in peak heights between the HOLC Grades decreases over the period of measure, with the bars for Grades B-D increasing by a greater amount than the bar for Grade A, revealing a flattening of the downward trend from Grade A to D.

From the first observation, it can be concluded that magnitude of risk and insecurity determined by the HOLC is inversely proportional to the percent of adults 25 years of age and older with 4 or more years of college education for the tracts. This conclusion aligns with the economics of redlining in which neighborhoods that experienced the negative implications of the practice saw less economic opportunity as well as overall disinvestment in their communities. Tracking back to Figure 2.1, we see that neighborhoods in lower tier HOLC grades have generally a lower aggregate median household income. Due to the aggregate financial status of these neighborhoods, we can infer that one of the reasons that households in redlined neighborhoods saw lower degrees of educational attainment was they comprehensively had less disposable income to spend on privileges like textbooks, tutoring services, or in this case, a college education.

From the second observation, it can be concluded that the moderate to lower tier grades saw upward educational mobility over the period of measure. This pattern can be primarily attributed to neighborhood redevelopment and gentrification throughout the Bay Area, particularly in tracts close in proximity to university centers, like UC Berkeley, or booming industries that have attracted more college-educated residents in search of work on a domestic and international level, like Silicon Valley and the South Bay. Coinciding with these inferences, the Bay Area saw several urban redevelopment projects in parts of Oakland, Emeryville, and San Francisco’s Mission District in which communities experienced infrastructural improvement in housing and schools. In a research report titled Engaging Schools in Urban Revitalization: The Y-PLAN (Youth – Plan, Learn, Act, Now!), authors Deborah L. McKoy and Jeffrey M. Vincent define the Y-PLAN initiative in the context of the urban Bay Area: 

“West Oakland, California, is an industrial area suffering the abandonment and blight common to other neighborhoods after the loss of manufacturing employers, a process that began in the 1950s…Stepping into this environment in 2000 was the Y-PLAN (Youth—Plan, Learn, Act, Now!), a model for youth civic engagement in city planning that uses urban space slated for redevelopment as a catalyst for community revitalization and education reform. Sponsored by the Center for Cities & Schools at the University of California (UC), Berkeley, Y-PLAN facilitates positive community outcomes by partnering graduate student “mentors,” local high school students, government agencies, private interests, and other community parties to work on a real-world planning issue. The Y-PLAN is both a pedagogical tool and a planning studio that addresses specific issues in local communities” (McKoy & Vincent, 2007, p. 1).

Due to the implementation of programs such as the Y-PLAN that educationally mobilized the Bay Area’s youth in impoverished areas, many of these neighborhood areas saw educational improvement reflected by the increasing peak heights for tracts in HOLC Grades B-D in the categorical plot. As a result of the flattening of the downward trend, it can be concluded that the educational disparities within the Bay Area were ameliorated over the period of measure, in part due to youth initiatives and other programs seeking educational improvement.

Section 3: Regression Analysis of Raw Median Household Income

To determine the impact of redlining tract coverage on median household income, I also conducted ordinary least squares (OLS) linear regressions for both the raw and logarithm of median household income as a function of redlining tract coverage from a 1930s HOLC map. While the histograms and catplots provide distributional insight and categorical comparison, respectively, into disparities across HOLC grades, the regression allows for high quantitative precision in determining the extent to which redlining coverage can accurately predict income for a Bay Area neighborhood. More specifically, the categorical plots allowed us to see a general slope trend based on the peaks of each bar, but the regression expands upon this observation by making it more specific numerically.

Because nominal incomes change with inflation, the median household incomes were converted from nominal to real 2020 U.S. dollars using annual average CPI values from the U.S. Bureau of Labor Statistics. The purpose of conducting a log-transformed regression was to linearize the relationship and allow for the slope coefficient to be interpreted as a percent change in income for a one-unit increase in tract coverage.

The two key regression outputs that will be analyzed in this section are slope coefficient and p-values, which together, can assess the magnitude and certainty, respectively, of the relationship between redlining tract coverage and median household income over time. For the raw income model, the slope coefficient is interpreted as the predicted change in real median household income by the OLS regression line per one-unit (or 100%) increase in redlining tract coverage. For the log-transformed income model, the slope coefficient is interpreted as the predicted percent change in real median household income by the OLS regression line per 1.0 (or 100%) increase in redlining tract coverage. Given that the distribution of income is skewed, taking the logarithm of income compresses high-income and low-income outliers, which creates a more symmetric and homoscedastic residual distribution. The patterns observed in the logarithm-transformed regression are largely identical to those observed in the untransformed regression, so I decided to include logarithm-transformed regression analysis in the first appendix of the paper. The p-values for each model (raw income and log-transformed income) represent the probability of observing each respective slope by random chance. A low p-value (less than the alpha level of 5%) indicates that the observed relationship is unlikely due to random chance.

Several neighborhood wealth-related trends can be concluded from OLS regression analysis of raw and log-transformed real median household income (2020 dollars) as a function of redlining tract coverage from 1980-2000. While quantitative, these patterns share similarities with the distributional trends derived from the histograms showing real median household income (2020 dollars) across HOLC grades A-D described in detail earlier in the paper.

Here, our parameter beta represents the true slope of the population regression line relating the explanatory and response variables of redlining tract coverage and raw income respectively. The null hypothesis is that beta is equal to zero and the alternative hypothesis is that beta is less than zero.

Figure 3.1 Raw Income as a function of Redlining Tract Coverage

Figure 3.1 confirms a negative association between income and redlining tract coverage based on the slope coefficients. Firstly, the slope coefficient for the 1980 OLS regression is -15,205.29. This means that for each additional one-unit (or 100%) increase in redlining tract coverage, the OLS regression line predicts about a $15,205.29 decrease in real median household income (2020 dollars) in 1980. Secondly, the slope coefficient for the 1990 OLS regression is -29,742.12. This means that for each additional one-unit (or 100%) increase in redlining tract coverage, the OLS regression line predicts about a $29,742.12 decrease in real median household income (2020 dollars) in 1990. Thirdly, the slope coefficient for the 2000 OLS regression is -46,819.90. This means that for each additional one-unit (or 100%) increase in redlining tract coverage, the OLS regression line predicts about a $46,819.90 decrease in real median household income (2020 dollars) in 2000.

While I noted that the association between income and redlining tract coverage remains negative, from the slope coefficients in Figure 3.1, it can also be observed that the magnitude of the decrease in income increases with each subsequent date of measure. From a graphical standpoint, this can be understood as an initially negative regression line that gets steeper and steeper in the negative direction over time. So what does this mean in the context of redlining? From this observation, it can be concluded that the negative impact of redlining coverage on household income worsens overtime, as the same increase in coverage is met with a greater magnitude of decrease in income over the period of measure. This trend can be best explained by the extensive impact of disinvestment in higher redlined areas. Following the HOLC’s classification of neighborhoods as “hazardous” via their redlining maps, banks and financial institutions chose not to lend money to businesses and individuals, insure mortgages, or fund development in these areas due to the high-risk attributed to these areas by the HOLC. As a result of this lack of financial and infrastructural support from banking institutions, these areas deteriorated over time through an aggregate decrease in property values as well as less socioeconomic mobility and in this case, access to high-paying jobs. Due to the extensive decline of the economic makeup of these areas caused by disinvestment, it makes sense why the slope coefficient of the income vs. redlining tract coverage regression decrease over time.

Figure 3.1 also displays very low p-values that all fall significantly below the general alpha level of 5%. Therefore, we can ascertain a relationship between redlining tract coverage and income. Firstly, the p-value for the 1980 OLS regression with raw income as the dependent variable is  . Assuming that there’s no association between redlining tract coverage and real median household income in 1980, the probability of obtaining a sample of this size and observing a negative relationship between redlining tract coverage and real median household income (2020 dollars) as or more extreme than a magnitude of approximately $15,205.29 per percentage point of redlining tract coverage by random chance is less than approximately   (rounded 0.0002%). Therefore, the OLS regression model provides significant statistical evidence that tracts with higher redlining coverage are associated with lower real median household income in 1980 for this sample. Secondly, the p-value for the 1990 OLS regression with raw income as the dependent variable is  . Assuming that there’s no association between redlining tract coverage and real median household income in 1990, the probability of obtaining a sample of this size and observing a negative relationship between redlining tract coverage and real median household income (2020 dollars) as or more extreme than a magnitude of approximately $29,742.12 per percentage point of redlining tract coverage by random chance is less than   (rounded 0.0008%). Therefore, the OLS regression model provides significant statistical evidence that tracts with higher redlining coverage are associated with lower real median household income 1990. Thirdly, the p-value for the 2000 OLS regression with raw income as the dependent variable is  . Assuming that there’s no association between redlining tract coverage and real median household income in 2000, the probability of obtaining a sample of this size and observing a negative relationship between redlining tract coverage and real median household income (2020 dollars) as or more extreme than a magnitude of approximately $46,819.90 per percentage point of redlining tract coverage by random chance is less than   (rounded 0.0002%). Therefore, the OLS regression model provides significant statistical evidence that tracts with higher redlining coverage are associated with lower real median household income 2000.

The consistently low p-values across all three dates of measure (less than the alpha level of 5%) confirms the high statistical strength between redlining tract coverage as an independent variable and median household income as a dependent variable. Furthermore, this aspect of the regression corroborates the trends observed from the slope coefficients of the decreasing negative association between these two variables, indicating that it is extremely unlikely this relationship occurred by random chance.

Conclusion

From distributional impacts, to categorical plots, to regression analysis, we can conclude several long term economic impacts that vary by extent to which a given census tract was redlined and how it changed over time. With the histograms, we saw that a lot of the economic patterns surrounding income and unemployment maintained shape for a given grade distribution over time indicating that a lot of the economic impacts stayed stagnant over the course of a few decades. With the regression analysis, we saw that the magnitude of negative slope for raw income as a function of redlining tract coverage greatly decreased in the 20 year period from around $30,000 to $42,000 in 1980 and 2000 respectively. With the log transformed regression, the slope coefficients were approximately equivalent for each year indicating that income dropped by the same percentage each year which shows relative stability in the influence of redlining, not due to external factors.

Looking forward, I would love to dive deeper into how gentrification interacts with these socioeconomic patterns of redlining. By definition, gentrification is the process in which a poorer area is infrastructurally improved as a result of a wealthier demographic of people moving in. This economic improvement is seen over time through improved housing, healthcare, and new business. By exploring gentrification in the context of redlining, I would ask whether modern reinvestment in previously redlined areas resulted in economic growth, ameliorating the negative effects of 1930s-era HOLC redlining.

While in this paper, I primarily studied solely socioeconomic indicators measuring the effects of redlining (unemployment, income, racial demographics, etc.), I would be curious to explore more health-related effects of this same era of redlining. By conducting research on food deserts, urban areas with limited access to good-quality fresh food, through measuring, for example, the number of fast food restaurants in a given census tract as well as illnesses through measuring, for example, the number of diabetes occurrences or hospital visits in a given census tract, I would bring in a new dimension of human health and biology in association with the redlining I explored in this paper. 

Bibliography

De los Santos, H., Jiang, K., Bernardi, J., & Okechukwu, C. (2021, May 26). From redlining to gentrification: The policy of the past that affects health outcomes today. Harvard Medical Journal. Retrieved October 28, 2025, from https://info.primarycare.hms.harvard.edu/perspectives/articles/redlining-gentrification-health-outcomes

Jonathan Schroeder, David Van Riper, Steven Manson, Katherine Knowles, Tracy Kugler, Finn Roberts, and Steven Ruggles. IPUMS National Historical Geographic Information System: Version 20.0 [dataset]. Minneapolis, MN: IPUMS. 2025. http://doi.org/10.18128/D050.V20.0

McKoy, D. L., & Vincent, J. M. (2007, June). Engaging schools in urban revitalization: The y-PLAN. Association of Collegiate Schools of Planning. https://doi.org/10.1177/0739456×06298817

Nelson, R. K., Winling, L, et al. (2023). Mapping Inequality: Redlining in New Deal America. Digital Scholarship Lab. https://dsl.richmond.edu/panorama/redlininghttps://dsl.richmond.edu/panorama/redlining.

Appendix A: Regression Analysis of the Logarithm of Median Household Income

While the raw-income regression shows the dollar change in income as a function of redlining tract coverage, by taking the logarithm of income and performing the same regression function, we see the percent change in income as a function of redlining tract coverage for the same three dates of measure. Though not visible from the regression outputs, the log-transformed regression mitigates the effect of outliers and influential points that undermined the strength of the relationship between raw-income and redlining tract coverage, providing us slope coefficients and p-values that are optimal for ensuring an accurate relationship between the two variables.

Here, our parameter beta represents the true slope of the population regression line relating the explanatory and response variables of redlining tract coverage and logarithm of income respectively. The null hypothesis is that beta is equal to zero and the alternative hypothesis is that beta is less than zero.

Figure A1 Logarithm of Income as a function of Redlining Tract Coverage

Similar to the raw income regression, the results of the log-transformed regression shown in Figure A1 confirm a negative association between redlining tract coverage and income as well. The slope coefficient for the 1980 OLS regression is -0.30. This means that for each additional one-unit (or 100%) increase in redlining tract coverage, the OLS regression line predicts about a 30% decrease in real median household income (2020 dollars) in 1980. The slope coefficient for the 1990 OLS regression is -0.28. This means that for each additional one-unit (or 100%) increase in redlining tract coverage, the OLS regression line predicts about a 28% decrease in real median household income (2020 dollars) in 1980. The slope coefficient for the 2000 OLS regression is -0.32. This means that for each additional one-unit (or 100%) increase in redlining tract coverage, the OLS regression line predicts about a 32% decrease in real median household income (2020 dollars) in 1980.

Similar to the raw income regression, the results of the log-transformed income regression evidenced in Figure A1 show very low p-values. Therefore, we can ascertain a relationship between redlining tract coverage and income. The p-value for the 1980 OLS regression is  . Assuming that there is no relationship between redlining tract coverage and the logarithm of real median household income in 1980, the probability of obtaining a sample of this size and observing a linear relationship between redlining tract coverage and the logarithm of real median household income (2020 dollars) with a slope coefficient of -0.30 or less by random chance alone is less than  %. Therefore, the OLS regression model provides significant statistical evidence that tracts with higher redlining coverage are associated with lower proportional levels of real median household income in 1980. The p-value for the 1990 OLS regression is  . Assuming that there is no relationship between redlining tract coverage and the logarithm of real median household income in 1990, the probability of obtaining a sample of this size and observing a linear relationship between redlining tract coverage and the logarithm of real median household income (2020 dollars) with a slope coefficient of -0.28 or less by random chance alone is less than  . Therefore, the OLS regression model provides significant statistical evidence that tracts with higher redlining coverage are associated with lower proportional levels of real median household income in 1990. Lastly, the p-value for the 2000 OLS regression is  . Assuming that there is no relationship between redlining tract coverage and the logarithm of real median household income in 2000, the probability of obtaining a sample of this size and observing a linear relationship between redlining tract coverage and the logarithm of real median household income (2020 dollars) with a slope coefficient of -0.32 or less by random chance alone is less than  . Therefore, the OLS regression model provides significant statistical evidence that tracts with higher redlining coverage are associated with lower proportional levels of real median household income in 2000.

For the most part, these two outputs of the regression reveal largely similar or identical patterns as the raw-income regression. Firstly, the slope coefficients reveal a negative relationship between redlining tract coverage and median household income that steepens over time. This steepening means that the percent decrease in median household income per 100% increase in redlining tract coverage increases with each subsequent date of measure.

Again, the p-values for this regression are far below the alpha level of 5% meaning that a relationship between redlining tract coverage and the logarithm of income is statistically significant across all three dates of measure, and not due to random chance.

About the author

Rishi Haldar

Rishi is a senior at Miramonte High School with interests in economics, mathematics, statistics, and history. He plans to attend Cornell University in the fall, where he will be studying economics in the College of Arts and Sciences. Apart from academics, Rishi is a guitarist in a band that plays local gigs (restaurants, fundraisers, etc.) and plays soccer for a club team and his high school team.

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Abstract

This paper focuses specifically on terrorism in India, with particular reference to Kashmir insurgency and the Naxalite (Maoist) movement, examining the structural, political and socio-economic factors that contributed to the emergence of these insurgent groups. 

The study is further situated within two principal theoretical lenses identified by Jeff Goodwin: the traditional perspective, which conceptualizes terrorism as a “weapon of the weak”, and the radicalization perspective. In addition, the paper critically reviews the work of prominent scholars whose analysis highlights diverse motivational factors. 

Building on this framework, it also identifies and analyses the principal causes underlying the Kashmir insurgency, highlighting political marginalization, cross-border influence, identity-based grievances, the legacy of the unresolved 1947 Partition dispute, and the impact of Hindutva politics have shaped the trajectory of conflict in the region. 

Extending this analysis, the paper examines the Naxalite Movement (Maoist) movement, tracing its roots to socio-economic inequalities, agrarian exploitation and the persistent marginalization of tribal communities, alongside the ideological influence of contested claims regarding external (particularly Chinese) involvement.

However, in reference to the Kashmir insurgency and the Naxalite (Maoist) movement, Terrorism in India cannot be narrowly confined to religious extremism alone. Rather, it must be understood as the outcome of intersecting structural, ideological and political factors. India’s complex geopolitical location and its history entrenched conflicts have further vulnerabilities in the internal security framework. In light of these findings, it’s important for the enforcement of inclusive governance, credible institutions and sustained socio-economic development to address root causes that perpetuate conflict and instability instead of militarization. 

1. Introduction

What are the causes and consequences of terrorism in India with reference to the Kashmir insurgency and Naxalite movement today? India, like many other countries around the world, has suffered several terrorist attacks over the last two decades. In this research paper, I aim to explore some of the factors that contribute to the rise of terrorism, and to examine its consequences on domestic politics and foreign relations. 

Terrorism has emerged as one of the most persistent and complex challenges in contemporary states, particularly in developing democracies such as India. Several studies identify socio-economic disparities, political exclusion, regional imbalances and perceived injustice as certain factors contributing to the emergence of terrorism. In this model, terrorism is often conceptualized not merely as indiscriminate violence, but as a strategic instrument employed by non-state actors.

Two prominent theoretical perspectives can help in contextualizing the phenomenon. The traditional view portrays terrorism as the “weapon of the weak”, suggesting that downtrodden groups resort to asymmetric violence and in contrast, the radical perspective interprets terrorisms as part of a wider process of escalating political violence, where ideological mobilization, identity-based politics and structured inequalities over the time.

This study points out two major challenges that have continued to shape India’s territorial security landscape: the Kashmir conflict and the Naxalite (left wing extremist) movement. The Kashmir issue represents a multifaceted conflict rooted in historical disputes, regional aspirations and cross-border interactions. Motivations which link to terrorism in this region include separatist aspirations, the influence of global jihadist movement, ideological divergences, perceived political marginalization, etc.

Arising from the 1960s in Naxalbari village of West Bengal, the Naxalite movement reflects a different but also an important form of political violence. Emerging from a radical communist ideology, the movement initially mobilized marginalized rural populations around issues of land redistribution, class exploitation and state neglect

By examining these two cases, this paper seeks to address our central research question: What are the principal causes of terrorism in India? Through a critical analysis of structural conditions, ideological motivations and state responses, the study aims to contribute to an understanding of terrorism as a product of intersecting political, economic and identity-centric factors. This study examines these two cases and offers policy recommendations. 

2. Defining Terrorism

It is important first to define the concept of “terrorism” before addressing my main research question. Terrorism is a highly contested term, and there is no common argument among the scholars on how to define it. However, the purposes of this paper, is to define terrorism in line with Goodwin (2019): “any tactic or set of tactics used by any government, group, organization, or individual, in pursuit of a political goal (broadly defined), which is intended to kill or harm civilians or noncombatants (as opposed to soldiers or political leaders) so as to frighten, intimidate, demoralize, provoke, or pressure other civilians and/or political leaders.” In short, this definition prioritizes that terrorism is primarily about the harming of civilians in order to intimidate others for political ends.

3. LITERATURE REVIEW: CAUSES OF TERRORISM

The section reviews literature on the causes of terrorism, highlighting two major arguments: one links to individual factors like religious fundamentalism and psychological traits while other traces to political marginalization and socio-economic inequalities and ethnic divisions. 

3.1 Individual-Level Explanations: Ideology and Psychology

To start with the first argument, older literature tends to emphasize that terrorists- were motivated by ideology, psychological predispositions, or religious fundamentalism (especially Islamic fundamentalism) (Pape 2003; Kramer 1990; Merari 1990; Post 1990). 

However, Pape (2003) argues that modern day terrorist attacks have not just limited to religious fundamentalists or to isolated men with certain psychological variations, but he gives the example of the LTTE (Liberation Tigers of Tamil Eelam), a group which recruited individuals who were Hindu Tamils but who were inclined towards Marxist ideology.

3.2 Structural and Political Explanations

The second type of argument focuses on some social grievances for example: political – and not religious, or individual psychological – motives of the terrorists. It has highlighted the motives i.e., to achieve specific political motives, change the policies in favour of them, to get financial backing (Crenshaw 2012; Abrahms 2008; Goodwin 2019). Crenshaw (2012) argues that violent acts are intentional political and strategic choices, rather than the inevitable result of social or psychological factors. In her view, terrorism functions as a “weapon of the weak,” used by actors who lack conventional means to influence government policy. Groups such as Euskadi ta Askatasuna (ETA) in Spain and the Provisional Irish Republican Army (PIRA) in Northern Ireland have used violence to pursue ethnic and religious rights Abrahms (2008) similarly argues that terrorism is the last and only resort for some groups to achieve their political goals.

Although the act of suicide terrorism might be irrational on an individual level. Thomas Schelling (1996) may have called it “the rationality of irrationality” – that is, the individual dies but the group is able to strategically demonstrate to the audience that it is serious about its political goals (Pape 2003). Terrorist groups are more likely to use suicide terrorism when there is a possibility of changing public opinion in favour them (i.e., in democracies). In the words of Boix and Rosato (2001): “The target state of every modern suicide campaign has been a democracy. The United States, France, Israel, India, Sri Lanka, Turkey, and Russia were all democracies when they were attacked by suicide terrorist campaigns, even though the last three became democracies more recently than the others.” Crenshaw (2012) similarly argues that terrorists do not just target communist regimes, but also target democracies.

Terrorism is closely linked to social and political conditions that create exclusions and injustice, which can be explained by some contextual examples on socio-political grievances. For example, when a minority group feels isolated in their own homeland, it forces them to retaliate or harm the civilians of their own nation or others. To make it clearer, we can take the example of attacks on Muslim community in India whether in Kashmir, Ayodhya or Godra Kand, which scorn the wounds of the neighbouring states which led to 26/11.  In short, historical rifts are also the causes which never cure the wounds of the nation. 

According to Edward Newman (2006) “These conditions-such as poverty, demographic factors, social inequality and exclusion, dispossession, and political grievances can be either permissive or direct.” This shows how terrorism is directly linked with environmental factors which degenerates the equality, rights and dignity of a human being. Ongoing social inequality and exclusion contribute to perception of injustice, while political grievances and dispossession weaken trust in state institutions. 

Furthermore, Terrorism is closely linked with the failures of human securities which can be understood as a consequence of insecurity and modernization where marginalized individuals resort to violence due to lack of opportunities and social breakdown for which O’Neill (2002) says, “human insecurity, broadly understood, provides the enabling conditions for terrorism to flourish”. As a result, insecurity of a human leads to its action which might harm the community. Also, terrorism is considered as the last resort to accomplish their needs and desires when peaceful methods don’t pay off. To understand with a few examples: Afghanistan, Sudan, Algeria, Yemen, Georgia, Pakistan. Somalia- which are the fundamental core of the operations conducted by the groups all over the world because of poverty.

In accordance with earlier explanations, this perspective offers a different account of the causes of terrorism. As per Martha Crenshaw (2012), she firstly makes a point on Modernization which creates a link between the individuals via easy transportations and communications.   Urbanization is one of the best tools which comes under modernization, as it increases the number of mobility and accessibility of targets and methods, which she termed as “urban guerilla warfare”, which was seen in Latin America in the 1960s.

This approach indicates that terrorism is not just driven by ideology or political grievances but is also shaped by structural transformations in society. Processes such as modernization and urbanization create environments that increase connectivity, mobility and the concentration of targets, thereby making terrorist strategies more feasible. 

4. THEORETICAL FRAMEWORK

Theoretical framework explain terrorism through two perspectives- first is Traditional theory, finds terrorism as “the product of weakness and/or desperation of some rebel or state (a ‘weapon of the weak’)” when there is a lack of capacity in pressurizing their opponent by their non-violent or conventional acts. The second, The Radicalization Perspective, which believes that “not all radicals may be terrorists, but all terrorists are radicals”. Radicalization is understood as “a process leading towards increased use of political violence”. Both theories ultimately points to a common goal i.e. Political motives. (Jeff Goodwin, 2019). Together, these perspectives indicate that terrorism is not merely a tactical choice but also a political constructed strategy shaped by both opportunities. 

5. INDIAN TERRORISM LANDSCAPES

This section focuses on the insurgencies faced by India.  India is a secular and multicultural nation. Since 1947, conflicts with Pakistan have led to wars. The Kashmir dispute emerged after the 1947 Instrument of Accession, leading to prolonged conflict between India and Pakistan. But India is not just facing such insurgencies by Pakistan, internal insurgencies continue which harm the peace and harmony of the nation. Apart from Kashmir related issues there is another big issue, i.e. The Naxalite or Maoist movement began in 1969 in Naxalbari and spread across states.

5.1 On Kashmir Conflict

Historical Background

The Kashmir dispute emerged during the 1947 partition of British India. Princely states were permitted to join either country. Jammu and Kashmir, ruled by Maharaja Hari Singh, had a Muslim-majority population but was governed by a Hindu ruler who initially attempted to remain independent. In October 1947, tribal fighters from Pakistan entered the region, prompting the Maharaja to seek military assistance from India, leading to the first war between India and Pakistan. This conflict was referred to the United Nations, which called for a ceasefire and proposed a plebiscite to allow Kashmir to determine their future. Unfortunately, the plebiscite was never conducted and the region was divided. In Curfewed Night, Basharat Peer presents this history as lived trauma. The memoir briefly outlines the unfulfilled promise of self-determination. Rather than analysing diplomatic negotiations, the book highlights how unresolved political conflict translated into militarization, curfews and insecurities in the Kashmir Valley. Having outlined the historical foundations of the dispute, the discussion now moves to the factors that have shaped the rise and continuity of militant violence in Kashmir. 

Drivers of the Kashmir insurgency

Many possible motives can be drawn for attacks in India, which is provided by K. Alan. Kronstadt (2008, pg. 6), according to some reports, radical Islamic sentiments play a crucial role, as radicals wanted a certain revenge for their Indian Muslim community in Ayodhya, Uttar Pradesh- 1992 and at Godra, Gujarat- 2002. And it is known that the radicals were inspired by Al-Queda’s brand of global jihadi ideology.  Some views indicate LeT has aimed for Kashmir’s separatism as their primary goal.  The Kashmir problem is related to the state’s claim by which state, which was very clearly demarcated since 1947. By military, Line of Control separated Muslim majority Jammu and Kashmir from Pakistan which controlled Azad Kashmir. Secretary Rice has speculated that the goal of the attackers was “probably to stir up trouble between Pakistan and India.” 

Terrorism violence in India cannot be explained by a single ideology; it results from the interaction of religious radicalization, geopolitical rivalries and unresolved territorial disputes. The Kashmir conflict and India-Pakistan tensions provide a strategic environment where extremist groups try to internationalize the issue and escalation between the two states. Thus, terrorism also functions as a strategic tool to influence regional politics.

In line with Shivaji Khemnar (2018), there are ethno-nationalist terrorism, religious terrorism, left wing terrorism, Narco terrorism. Roots of massive terrorism in India, are various in ideology, poverty, regional imbalance, strong worship about religion. India suffers attacks from Bangladesh, Nepal and Pakistan. 

Following this, Vani. K. Borooah (December 2008), provided some factual data of the attacks held in Kashmir. Over the period of 1998-2004, 784 terrorist incidents in India which resulted in 3008 deaths, and 61% of them and 55% of casualties occurred in Jammu and Kashmir alone. Apart from native-born terrorism, Kashmir conflict has attracted Al-Qaeda who have viewed this as a large part of Islamic strategy. A pamphlet titled “Why are we waging jihad” by Lashkar-e-Taiba includes the spread Islam in every corner of India. (Haleen 2004; Borooah 2008). Islamist groups were responsible for 126 attacks out of which 12 were suicidal attacks, out of which 6 were by Lashkar-e-Taiba, 2 were by Al-Mansurian (LeT) and 2 were by Jaish-e-Mohammad.

This is important statistical evidence which shows the concentration of terrorist incidents in J&K, the analysis largely focuses on quantitative data and military group involvement. Hence, the data highlights the scale and external linkages of terrorism. 

The Kashmir revolt is traced from the middle class and their frustration as it lacks employment opportunities (Sumit Ganguly; Prem Shankar Jha). Why do democratic political systems tend to experience higher incidents of terrorist attacks? 

It is explained in the lines “The growth of political assertiveness of minority communities in democratic states is virtually inevitable. As minorities acquire increased literacy and education, they will become more conscious of their political rights and will seek to assert them. Nondemocratic, poly-ethnic states can suppress minority demands for political participation through co-optation, coercion, or repression.” (Sumit Ganguly, 1996). 

Hence, this argument can be interpreted as rising awareness and mobilization especially among educated minorities– can create pressures that political institutions struggle to manage. However, this explanation may overemphasize political participation as a cause of terrorism, while underestimating other factors such as regional, external support to militant groups and state responses. Thus, democratic openness may create space for dissent, but it does not necessarily make democratic the only and primary cause for terrorism. 

Terrorism cannot be explained solely in terms of social and political factors; rather politics plays a crucial role in shaping and concealing issues that are deliberately prevented from being revealed. In Kashmir there are 3-way perspectival divisions: Hindus in Jammu, Buddhist in Ladakh and Muslims in Kashmir and it has created a paradigm that Kashmir is Muslim and is Anti-National. It gives a reflection of the Kashmiris struggle “against India’s brutalities”, where they were illegally detained, tortured, imprisoned and exploited. 

Under the governance of NDA, ideology of Hindutva was followed and spread in Kashmir without considering Muslims in Kashmir, which has resulted in the rise of attack frequency.

Hindutva-driven political strategies have indirectly increased tensions in Kashmir by making many Muslims feel excluded and unheard. Debates around Article 370 and 35A, along with efforts to fully integrate the region have added to this feeling of insecurity. At the same time, the growing support between Hindu nationalist groups and some Kashmiri Pandits has deepened divisions. These tensions and grievances are used by militant groups, which keep the cycle of conflict and violence going. (Mridu Rai, 2019)

Her focus is on political narratives, identity politics, and ideological agendas- particularly debates around Article 370 and 35A- which has shaped perspectives of marginalization in Kashmir. However, this argument primarily emphasizes the role of Bhartiya Janta Party and Hindutva politics. Nevertheless, political factors play a significant role, since politics shapes governance and national decisions-making which remains crucial in understanding terrorism and instability. 

The BJP’s Kashmir Policy: Continuity and Change from Vajpayee to Modi

While the Kashmir conflict is often explained through historical, social and security-related factors, political dynamics also constitute a significant dimension, as political parties frequently shape policies and narratives in alignment with their ideological orientations and strategic interests. 

In line with Mridu Rai (2019) there are 2 eras of the BJP government, which depicts the conditions in the Kashmir valley since the 1990s. According to the report, since 1990 Kashmir has experienced less governance in the conventional sense and more population control enforced through fear and violence. The passage further argues that the Indian state under the Modi government has intensified this security-oriented approach, framing it within the ideological vision of the Hindu Rashtra.

It presents a comparative analysis of the BJP under Atal Bihari Vajpayee and under Narendra Modi, particularly in relation to Kashmir and Pakistan. It suggests that Vajpayee’s tenure represented a relatively peaceful phase in India’s Kashmir policy. Vajpayee included this approach in the slogan “Insaaniyat, Jamhooriyat aur Kashmiriyat”, signalling a framework attached with humanity, democratic process and recognition of Kashmir identity.

In contrast, the Modi government has described as adopting a more assertive and militarised way toward Pakistan. Public celebration of “surgical strikes” and repeated warnings of retaliations show increased aggression. This external posture is said to be mirrored internally in Kashmir, where stronger security measures have been justified in the name of countering cross-border terrorism. 

 It argues that organisationally, the BJP has undergone significant transformation since 2014. While centralized under Vajpayee, but more monolithic under Modi’s leadership, with reduced space for internal dissent and increased subordination of regional leadership to central command. Since 2014, the author suggests, incidents of hostility and violence against such groups have been more visible. 

Cross-border Militancy in Jammu & Kashmir

Numerous attacks in Kashmir are observed, like Mumbai Train Blast (2006), Mumbai Attack 26/11(2008), Mumbai Bombing (2011), Pathankot Airbase Attack (2016), Uri Attack (2016), Pulwama Attack (2019), Bengaluru Attack (2023), Pahalgam Attack (2025). 

The most recent Pahalgam attack (22nd April 2025), which resulted in the death of 27 security personnel and injury to over 40 civilians (Adil, Sohail & Farid, 2025).  Pahalgam was a core of tourism along with the transit point for Annual Amarnath Yatra pilgrimage, which was then considered as the attack on for both its scale and its symbolism. By the Indian Ministry of Home Affairs, Pakistan’s military group Lashkar-e-Taiba was accused of this insurgency. (Tanveer, 2025). This time India retaliated with fearlessness by its operation named “Operation Sindoor” on 7 May 2025.

The paragraph concludes with the call of, that Kashmir has been called by Arundhati Roy, a ‘real theatre of unspeakable violence and moral corrosion.’ (Muhammad Feyyaz 2019). Geopolitics plays a significant role with all events happening in and around the world. Geography is what stabilizes or destabilizes a nation’s security and development. Pakistan’s desire to cover Kashmir in its territory is not just in the interest of Islamic fundamentalism, instead, its geographical, hydrological and strategic factors. It is important for Pakistan to maintain a powerful position in Kashmir, essentially for water security and advantageous position against India.  

Repercussions of Armed insurgency

Since 1947, this prolonged conflict in Jammu and Kashmir has had wide- ranging impacts beyond security. It has led to environmental damage, economic decline (majorly tourism), has disrupted education and regular life, along with serious mental health issues as per Dr. Mushaq Margoob, Professor & Head, Post Graduate Department of Psychiatry, Government Medical College, Srinagar. Taken together, these have weakened the region’s social and economic stability. Overall, terrorism has deeply affected Kashmir’s development and the life-style of the people. 

5.2 THE NAXALITE (Maoist) MOVEMENT

Historical Background and Origins

After examining the conflict in Kashmir, it is equally important to turn to another major internal security challenge persisting in India–the Naxalite Movement. The Naxalite movement, also known as Maoist insurgency in India, originated in 1967 in the village of Naxalbari in West Bengal as a radical peasant uprising against those land inequalities and exploitative agrarian structures. Inspired by Maoist ideology and the principles of the armed revolution, the movement sought to challenge what is known as a semi-feudal and oppressive state system. The movement was ideologically influenced by revolutionary doctrine linked with Mao Zedong and political development in China during the 1960s. However, this was largely evolved as a domestically rooted response to socio-economic inequalities, tribal marginalization and governance deficit within India. Initially driven by demands for land redistribution and social justice for marginalized communities–which then gradually expanded into the central and eastern parts of Indian states, forming what is often referred to as the “Red Corridor”. Over the period of time, the movement evolved from localized agrarian resistance into an organized armed insurgency. Manohar Parrikar Institute for Defence studies and Analysis (2010) states that the Naxalite movement was driven by radical Marxist- Leninist ideology which led to the formation of the CPI (M-L). Multiple internal challenges seen in: the Central-Eastern area (Red Corridor), North-East India by groups like NSCN & ULFA. (Aditya Dasgupta, Kishor Gawande and Devesh Kapoor; 2017)

Understanding the structural and immediate causes that helps in the emergence and persistence of this movement becomes essential to comprehend its relevance in India’s internal security landscapes. 

Structural and Socio-Economic Determinants

In 2008, Prime Minister-Manmohan Singh described Naxalism as “the greatest threat to our internal security”. The pace of the Naxalite movement suggests not merely state incapacity, but deeper structural contradiction within India’s developmental model, has been the driving force to such insurgent acts. While the Indian state pursued parliamentary democracy and economic modernization, large parts of rural and tribal populations remained excluded from land reforms, political representation, and access to justice. 

In line with European Foundation for South Asian Studies Publications: Naxalbari, the village that gave its name to the movement, was the site of the peasant revolt, started by communist leaders against owners of the state. The Naxalbari uprising was not a mere reason for agrarian anger but an ideological rupture within Indian communism. It marked a rejection of parliamentary gradualism and signalled the re-emergence of revolutionary violence as a legitimate political instrument among sections of the left. Members of Communist Party of India (Maoist), notably Charu Majumdar, Kanu Sanyal and Jangal Santhal who initiated this movement. Drawing inspiration from Maoist ideology, these leaders advocated a strategy of long armed struggle aimed at overthrowing the existing socio-economic order through agrarian revolution. The uprising reflected a vision articulated by the so-called “Siliguri Group”, which called for a militant path to political transformation. The formation of CPI in 1925 institutionalized communist ideology in India drawing inspiration from the global Marxist-Leninist movements and adapting them to the colonial Indian context. In its early years, the CPI was committed to a Marxist-inspired mass revolution but later faced internal and external pressures that reshaped its strategy. In 1951, after consultations with Stalin- who advised participation in democratic politics rather than armed revolt–the CPI reconsidered its revolutionary path. The ideological reshaping laid the groundwork for subsequent fractions within the left movement ultimately which contributed to the emergence of radical Maoist. Disillusionment with the CPI’s gradual and pro-soviet orientation- particularly its commitment to parliamentary democracy and perceived abandonment of revolutionary militancy–led to the break away at the Seventh Party Congress in Calcutta. The CPI-M thus emerged as a distinct political formation that rejected what it characterized as soviet “revisionism” and aimed to reaffirm a more orthodox and militant Marxist line, drawing ideological inspiration from the Chinese Communist model. 

Naxalite emerged as a radical response to deep rooted socio-economic inequalities. Its primary causes according to Sanjay Seth (1995), were as follows: The very first is, Structural Contradictions of Capitalist Development- Capitalist expansion generates contradictions between socialized productionand private appropriation leading to crises which intensify exploitation and weaken legitimacy, creating conditions for resistance.Second is seen as the Formation and Organization of the Proletariat- capitalist modernization concentrates workers in the factories and cities, fostering class solidarity and collective resistance and also creates a basis for revolutionary mobilization. Moving forward, Marxist Reorientation towards Peasant Agency in ‘Backward’ Societies- Marxist revolutionary theory shifts emphasis to peasant agency in backward societies, viewing peasant struggles against feudalism as a key driver for revolutionary change.Along with that Gap between Consciousness and Marxist Political Objectives- Peasant resistance, shaped by local and traditional identities, which differ from Marxist class ideology, creating a gap that leads to ideological tensions. In addition to the initial factors, Misrecognition of Peasant Subjectively by Communist Parties- where communist parties misread peasant consciousness, projecting revolutionary intent, leading to a strategic and ideological disconnect. And last but not the least, Instrumentalization of Peasant Struggles by Vanguard Parties- communist parties often used peasant struggles for their own goals, directing movements beyond peasants’ intent, leading to dissatisfaction.

While Sanjay Seth highlights contradictions between peasant consciousness and Marxist political objectives, the Naxalite movement demonstrates how ideology and lived experience interact dynamically rather than mechanically. Peasant resistance in India was not purely “false consciousness” nor fully revolutionary; rather, it evolved through local grievances–land alignment, state repression and caste hierarchies–that were gradually reframed within Maoist political language. Thus, the movement’s radicalization can be understood as a process of ideological translation.  

It follows that the persistence of Naxalite exposes the gap between India’s procedural democracy and substantive socio-economic justice, particularly in marginalized regions such as Chhattisgarh and Jharkhand. Governance failures, extractive development and weak reforms lead the insurgent appeal, framing it as internal security issues. The growth of Naxalism reflects deeper structural inequalities in India’s development model rather than only a security issue.              

Integrated approaches to mitigate Naxalite insurgency

Although the Naxalite insurgency has emerged from the multiple structural and socio-economic causes discussed above, the Indian government has also introduced several strategies to mitigate the movement. In line with Manohar Parrikar Institute for Defence Studies and Analyses (April, 2010) The Government of India, has adopted a two-pronged strategy, to address Naxalism, combining security measures and governance interventions.The government set up an Empowered Group of Ministers, a Coordination Centre, and a special task force to improve coordination. It focused on a Law-and-Order Approach through police modernization and long-term deployment of centre forces, with the centre bearing costs (around  ₹1,100 crore) to support states. Another approach the government adopted is Social Integration Approach, focusing on development through schemes like the Backward District initiative and BRGF, allocating funds to affected areas. It also implemented state-level support and infrastructure programs like PMGSY to improve living conditions and reduce Naxal influence. 

Sino- Maoist connections

After examining the internal causes and state responses to Naxalite insurgency, it also becomes important to assess whether external factors contribute to these insurgent activities. This analysis helps determine whether policy responses should extend beyond domestic measures to include broader strategic and foreign policy considerations. 

There are two principal stands of argument, one contends that China has no involvement with Naxalite or Maoist movement in India, while the other claims that China bears responsibility for supporting or facilitating these insurgencies.

First argument notes, Maoist groups’ linkages with militant, Northeast insurgent, and radical Islamist organizations for logistical support pose a significant internal security challenge to India, while multiple factors suggest Chinese involvement in sustaining Left-Wing Extremism (LWE). An analysis by the Vivekanand International Foundation quotes The Home Secretary, G.K.Pillai in November 2009, where he was confident with the supply chains of arms by China to Maoists in India, “Chinese are big smugglers and suppliers of small arms. I am sure that the Maoists also get them.”

The Home Minister, P. Chidambaram, acknowledged that Naxalites procure weapons through cross-border routes via Nepal, Myanmar, and Bangladesh, but expressed uncertainty regarding any direct assistance from Chinese state actors. Nevertheless, repeatedly Chinese made arms and communication equipment from Maoist cadres are often cited as indicative of possible linkages between Maoist groups and China. 

To line RSN Singh (2010), the Home Secretary has asserted that China is a major supplier of small arms and suggested that Maoist Groups may procure weapons of Chinese origin. In 2004, a significant supply of light and medium machine guns and ammunition were seized at Chittagong port in Bangladesh, reportedly sourced from China. Bangladesh intelligence officials further alleged that leaders of United Liberation Front of Asom and National Socialist Council of Nagaland (Isak-Muivah) visited Kunming to obtain arms, some of which were allegedly routed to Maoist groups operating in Nepal and India. 

Second, it argues that China has nothing to do with any insurgency, according to the statement issued by the Ministry of External Affairs (May 17, 2012) that India raised concerns with China regarding reported support for anti-India armed groups, prompting China to assure a policy of non-interference and deny such support. China has officially denied supporting anti-government forces and emphasized its policy of non-interference; the dialogue mechanism indicates that India remains cautious and will continue to monitor dimensions of internal threats.

6. Conclusion

In conclusion, the study demonstrates that terrorism is a complex and evolving phenomenon that cannot be understood through a single framework. The discussion of various scholarly definitions, theoretical perspectives and the examination of cases such as Kashmir and Naxalite illustrate that terrorism emerges from the interaction of ideological, political, socio-economic, and historical factors, earlier, terrorism was often narrowly associated with religious extremism; however, contemporary conflicts increasingly reveal an overlap between terrorism and civil wars. This growing convergence has created distinguish terrorism from other forms of political violence, consequently, the absence of a universally accepted and precise definition of terrorism continues to challenge the international community in formulating consistent responses.

From the Indian perspective, geography plays a dual role. While India’s geographical position has historically facilitated cultural exchange, economic interaction and strategic connectivity. It has also exposed the country to security vulnerabilities and cross-border tension. In addition to these historical and geographical factors, ideological influences have also shaped certain forms of insurgency in India. The influence of socialism and communalism, particularly in regions characterized by socio-economic disparities and governance gaps, has contributed to the emergence of structural grievances, including poverty, land alienation and the neglect of marginalized communities. 

The findings of this research suggest that addressing terrorism requires a multidimensional approach. While security measures remain important, long term solutions must also focus on ensuring inclusive development for all sections of society. Future research should therefore explore innovative perspectives that move beyond purely historical explanations and instead examine how structural reforms, effective governance and socio-economic justice can help mitigate the conditions that sustain violent movements. 

Although the complete eradication of terrorism may be unrealistic, meaningful progress can still be achieved through stronger international cooperation, stricter accountability for states that have terrorist networks, and institutional reforms. Finally, the persistence of terrorism highlights not only individual responsibility but also government failures. When the government is unable or unwilling to address citizens’ aspirations and grievances, extremist ideologies find space to grow. In this context, terrorism may be defined as “a strategic and radical practice aimed at influencing state policy through coercion or violence.” 

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Gaibulloev, K., & Sandler, T. (2008). The impact of terrorism and conflicts on growth in Asia, 1970-2004 (No. 113). ADBI Discussion Paper.

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Mukherjee, S. (2018). Colonial origins of Maoist insurgency in India: Historical institutions and civil war. Journal of Conflict Resolution, 62(10), 2232-2274.

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Britannica, T. Editors of Encyclopaedia. (n.d.). Naxalite. In Encyclopaedia Britannica. Retrieved [Date], from https://www.britannica.com/topic/Naxalite

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Source: MP-IDSA https://share.google/ZTQOuCwQstdTYhuLy

Source: EFSAS https://share.google/U55MzH7Zm8dnOYYlH

Source: Vivekananda International Foundation (VIF) https://share.google/LpfQkGBjOJUAXfhgx

ACKNOWLEDGEMENT

I would like to express their sincere gratitude to Dr. Mashail Malik, Assistant Professor, Harvard University for her invaluable guidance, intellectual support, and constant encouragement throughout this research. I also thank her for the insightful discussions and helpful feedback on the initial drafts of this manuscript.

I am grateful to the Department of Political Science at Banasthali Vidyapith for providing the necessary institutional resources to conduct this study.

On a personal note, I wish to thank my parents and friends for their unwavering moral support, patience, and encouragement during the course of this work. Their belief in my efforts was a constant source of motivation.

Finally, I thank the anonymous reviewers for their constructive comments and suggestions, which significantly contributed to improving the quality of this paper.

About the author

Disha Tyagi

Disha Tyagi is currently pursuing a Master’s degree in Political Science from Banasthali Vidyapith. Her academic interests revolve around International Relations, South Asian regionalism, geopolitics, diplomacy, public policy, global governance, trade relations, conflict studies, security studies, and international cooperation. Among these, terrorism and regional instability remain one of her strongest areas of interest and research. She is particularly interested in studying how terrorism impacts regional integration and development, especially in areas such as Kashmir and Left-Wing Extremism in India.

Her academic journey has been enriched through active participation in seminars, conferences, webinars, debates, and international academic engagements. She attended the BRICS International School: New Generation in March 2026 and participated in the Global Studies Program organized by the Russian Federal University in February 2026. She also attended the seminar on “WTO MC14 Outcomes: Future of Multilateralism and Implications on India’s Trade Agenda” held on 5 May 2026, which deepened her understanding of trade diplomacy and multilateral institutions. Additionally, she participated in webinars such as “The Structural Causes of World Poverty” by Thomas Pogge on 23 April 2026 and “India’s BRICS Presidency 2026” by Antara Ghosal Singh on 8 May 2026. These academic interactions enhanced her understanding of global justice, development politics, and emerging geopolitical transformations.

Beyond academics, she has actively participated in Model United Nations and parliamentary simulations, including the Youth Parliament (UNGA Portfolio) held during SANSAD 2025 in Delhi. She has also completed online courses including “Successful Negotiation: Essential Strategies and Skills” by the University of Michigan, “Learning How to Learn” by the University of Arizona, and “Writing in the Sciences” from Stanford University, along with an offline communication course at the British Council, Delhi.

The post From Global Causes to Local Realities: Terrorism in India with Reference to Kashmir and the Naxalite Movement appeared first on Exploratio Journal.

Abstract

Dissociative identity disorder (DID) is a treatable mental disorder that has a proven neurochemical basis. However, public misunderstanding prevents patients from getting appropriate and timely treatment, and medication focusing on dissociation is limited. Therefore, this paper proposes an approach of delivering JDTic and paroxetine by lipid nanoparticles (LNP) through the intranasal route. JDTic and paroxetine target the dysregulated neurotransmitter system. LNPs improve delivery efficacy by increasing bioavailability and drug stability. The intranasal route was chosen as the administration route for its ability to target the brain directly. Limitations and development visions are discussed to inspire further research. 

1. Introduction

DID is a mental illness that affects approximately 1% of the general population. Studies suggest that it is strongly related to severe childhood trauma, most often caused by caregivers. Typical symptoms include subjective experience of identity alteration, memory gaps, frequent experience of depersonalization, along with post-traumatic stress disorder, depression, and anxiety (Purcell et al., 2024). Due to the special symptoms it displays, the disorder and DID patients are receiving public attention, yet few people know the scientific facts about the disease, which has led to misunderstandings about DID patients. This mental disorder has been proven to be treatable, with multiple reported structural and neurochemical basis. However, current medication mainly targets the depression and anxiety symptoms of DID, and focuses less on its dissociations, which are the symbolic symptoms. This study aims to discuss DID from a biological perspective and dive into its dissociation aspect. 

In this paper, we explored a new way of DID treatment. We targeted the opioid system and serotonergic system, whose dysregulations are believed to be the main cause of dissociation. Medications are chosen according to the targeted receptors, namely JDTic for opioid receptors and paroxetine for serotonin receptors. Lipid nanoparticles are then designed to deliver the drugs to the brain. We proposed to administer the drugs intranasally, which was reported to target the brain through olfactory neurons, circumventing the blood-brain barrier (BBB). This could enable more efficient drug administration as well as reduce systemic side effects. Furthermore, we envision several directions related to the theme of this paper. Future studies in these directions could improve medical treatments for DID. We hope to provide new insight into treating this mental illness based on its neurotransmitter basis.

2. The Neurotransmitter Basis of DID

The dissociative symptoms of DID are related to multiple neurotransmitter systems. In this section, we will discuss two neurotransmitter systems that are believed to contribute to dissociative experiences (including depersonalization, derealization, amnesia, etc.), namely the opioid system and the serotonergic system. 

2.1.Opioid System

The opioid receptors are a kind of G protein coupled receptors (GPCR). The system regulates multiple biological and cognitive processes, such as nociception, analgesia, endocrine and immune functions, stress and emotions, and more (Reeves et al., 2022). Opioid receptors are differentially expressed throughout the brain, with higher concentrations in the cortex, limbic region (including amygdala, hippocampus, hypothalamus, and cingulum gyrus), and brainstem (Purcell et al., 2024) . The receptors are categorized into three subtypes: mu (MOR), kappa (KOR), and delta (DOR). The subtypes accept different signaling peptides (Reeves et al., 2022). Exposure to stressful stimuli activates kappa opioid receptor (KOR) signaling, a process known to produce aversion and dysphoria and related to stress-related disorders(Jacobson et al., 2020). A study conducted on nine adult volunteers suggests that enadoline, a kind of KOR agonist, leads to confusion, dizziness, visual distortions, and depersonalization reported by participants (Walsh et al., 2001). Other related studies also suggest that salvinorin is a KOR agonist that relates to depersonalization (Roth et al., 2002). This might indicate that kappa-opioid receptors might be helpful in regulating certain dissociative symptoms. While naloxone, naltrexone, and nalmefene were reported to reduce the dissociative symptoms, these therapeutics have yet to be systematically studied, and conflicting results were shown in recent studies (Purcell et al., 2024). Therefore, we propose JDTic, an alternate medication that targets the KOR, thus in theory can alleviate dissociation. 

2.2.Serotonergic System

The serotonin receptors can be classified into six different GPCR populations (namely 5-HT₁, 5-HT₂, 5-HT₄, 5-HT₅, 5-HT₆, and 5-HT₇) and one family of ligand-gated ion channels (5-HT₃). Every receptor class regulates neural processes through a different mechanism. Under each class, they can be further divided into specific subtypes, each of which has a different function, agonists, and antagonists (Pytliak et al., 2011). The receptors are distributed throughout the brain, regulating affect, cognition, autonomic, and other behavioral activities (Purcell et al., 2024). Sixty-seven subjects received depersonalization ratings after double-blind, placebo-controlled experiments with the partial serotonin agonist meta-chlorophenylpiperazine (m-CPP). Results show that m-CPP significantly induced more depersonalization than the placebo did (Simeon et al., 1995). Another study performed a positron emission tomography scan on a patient with dissociative amnesia. Images were compared between the patient in amnestic state and recovery state and 14 other healthy subjects. The patient in the recovery state displayed significantly higher 5-HT_1A receptor bindings than healthy subjects in multiple cortical regions (Kitamura et al., 2014). This might indicate that the serotonin system is possibly related to dissociative experiences. Study suggests that paroxetine, a selective serotonin reuptake inhibitor, might relieve dissociation. 

3. Possible Therapeutics

In this part, we mainly give two medications that seem promising in dissociation treatment and introduce their mechanisms and metabolism. Namely, we will introduce JDTic and paroxetine, targeting the opioid system and the serotonin system, respectively. 

3.1.JDTic

Currently, JDTic is not used clinically. Therefore, we only discuss it as a possible treatment of dissociation due to its medical mechanism. Further study is still needed to enable its clinical application. JDTic is a kind of highly selective competitive antagonist of KOR. Notably, it is not derived from the opiate class of compounds. The potent and selective κ antagonist properties can be explained by the “message−address” concept, a theory that explains the interaction between the ligand and receptor. The “message” component of the ligand specifies primary receptor recognition, and the “address” portion enables selectivity by specifically recognizing a particular receptor subsite (Thomas et al., 2003). 

After JDTic was intraperitoneally administered to mice, its brain level peaked within 30 minutes and declined gradually over a week. JDTic did not show high lipophilicity, demonstrating high water solubility and low distribution into octanol. Brain homogenate binding was within the range of many shorter-acting drugs. JDTic displayed P-glycoprotein (P-gp)-mediated efflux. The surprisingly slow elimination of the drug is postulated to result from the drug lingering in cellular compartments such as lysosomes (Munro et al., 2012).

There is no current evidence that directly proves that JDTic is effective in dissociation treatment. Being an opioid receptor antagonist, JDTic is believed to restore neuron functions that were overly inhibited by opioid receptors. Considering the relationship between opioid receptors and dissociation symptoms mentioned above (KOR especially), it is reasonable to conclude that JDTic might be conducive to dissociation treatment. However, further researches are needed to validate this assumption.

3.2.Paroxetine

Paroxetine is a drug for a variety of anxiety disorders. It is worth emphasizing that in the treatment of PTSD, there are only two approved pharmacotherapies based on SSRIs, including Sertraline and Paxil (paroxetine hydrochloride). It is a potent, selective serotonin reuptake inhibitor (SSRI). It exhibits the highest known binding affinity for the central site SERT compared to any other currently prescribed antidepressants. Paroxetine acts on the serotonin transporter (SERT) in the CNS, which is a type of monoamine transporter that transports serotonin from the synaptic cleft back to the presynaptic neuron. Inhibiting the SERT increases the serotonin concentration in the synapse, enhancing the activation of postsynaptic receptors.

Paroxetine hydrochloride salt ingested orally is almost completely absorbed, with only 2% of the dose recovered in feces. Its absorption was insusceptible to the influence of food or concomitant antacid treatment. It reaches saturation during the pass through the liver. With repeated administration, the steady-state concentration of the drug is achieved within 4 to 14 days. There is no further accumulation of the compound. The distribution of paroxetine in the body is extensive, aligning with its lipophilic amine character, with only 1% of the drug remaining in systemic circulation. After administered intravenously, the volume of distribution ranges from 3.1 to 28.0 L/kg. The mean elimination half-life is estimated to be about 21 h. Almost two-thirds of the drugs are eliminated through the kidneys. Up to 95% of the drug is bound to proteins, mainly P-gp, which is involved in transportation through the blood–brain barrier (BBB) (Data from reference (Paroxetine—Overview of the Molecular Mechanisms of Action, n.d.)(Paroxetine—Overview of the Molecular Mechanisms of Action, n.d.)). 

Paroxetine is mainly metabolized by cytochrome P450 family 2 subfamily C member 19 (CYP2C19) and CYP3A4, producing a catechol metabolite (Benedetti et al., 2009). It is one of the most potent inhibitors of CYP2D6 and CYP2B6, members of the CYP450 family, among SSRIs (Paroxetine—Overview of the Molecular Mechanisms of Action, n.d.). Autoinhibition is observed in the metabolism of Paroxetine, which means that some drugs can inhibit the enzyme(s) involved in its metabolism. When autoinhibition occurs, observed plasma concentrations are higher than the value expected by linear accumulation, which could cause adverse effects or an enhanced therapeutic effect (Benedetti et al., 2009).

In a study conducted to determine the efficacy of paroxetine on PTSD symptoms, results show that paroxetine continued to perform superior to placebo in reducing dissociations during the 12-week maintenance phase. Specifically, significantly more patients treated with paroxetine were rated as responders compared to patients treated with placebo. Mixed effects models showed greater PTSD feature reductions in the paroxetine groups than the placebo groups. Paroxetine was also superior to placebo in reducing dissociation and self-reported interpersonal problems (Marshall et al., 2007). This suggests that paroxetine is a promising medication against dissociation. 

4. Lipid Nanoparticle

To deliver therapeutics for DID to the brain, there are multiple approaches used. The use of lipid-based nanoparticles first came from the biocompatible concept, where the tiny lipid cholesterol molecules and phosphatidylcholine are popular. Lipid-based nanoparticles enable easy cellular uptake of drugs because of the lipid coat. Two of the most important lipid-based nanomaterials are liposomes and solid lipid nanoparticles (SLN). Liposomes are composed of lipid bilayers and enclosed aqueous cores, while SLN consists of a lipid monolayer enclosing a solid lipid core. While they are slightly different in structure, both can be effectively used in drug delivery applications, and nasal administration studies on both types of nanoparticles have been done (Trapani, A et al., 2021). According to existing research, we propose that the medication for DID could be delivered by lipid nanoparticles through the intranasal route. By applying adhesive components such as chitosan to nanoparticles, we can improve the drug internalization of olfactory neurons, increasing bioavailability. The molecule size and surface properties of nanoparticles can be accommodated to adjust to both passive and active drug targeting, which might be helpful in drug administration. Additionally, nanoparticles protect drugs from degradation, improving stability and delivery efficacy (Chenthamara et al., 2019). 

In the study of (Wang et al., 2025), the authors designed and synthesized ionizable lipids. Specifically, small-molecule ligands known to traverse the BBB, such as MK-0752, were chemically coupled with amino lipids to synthesize a series of structurally diverse BBB-crossing lipids. The BBB-crossing module enables the nanoparticle to cross the BBB. The amino groups function to provide ionization properties, enabling the lipids to exhibit variable charge states, determining their apparent pKa, a critical parameter and the basis of endosomal escape. The lipid tails form the hydrophobic core of the nanoparticle, the length of which influences the efficiency of MK-series BLNPs in delivering mRNA to the brain. The study administered the drug intravenously into mice. MK16 BLNPs are distributed throughout the body, with most of the dose being absorbed by the liver and part of the dose (15.3±0.4%) in the brain. Notably, the study also demonstrated that caveolae and γ-secretase might be critical mediators in facilitating the BBB crossing of MK16 BLNPs (Wang et al., 2025). The study proved that lipid nanoparticles are capable of carrying large organic particles like mRNA, providing a theoretical possibility for delivering paroxetine and JDTic. However, it also showed a high rate of missing the targeted administration region, which could cause systemic side effects or increased metabolic stress. In order to target the brain better, we referred to an alternate model of LNP. In “Dopamine-loaded lipid-based nanocarriers for intranasal administration of the neurotransmitter: A comparative study”, the researchers structured the SLN based on the self-emulsifying lipid Gelucire® 50/13, coated with stearoyl polyoxyglycerides, surrounded by a hydrophilic polyoxyethylene chain shell. The study evaluated two types of liposomes, which were composed of an aqueous drug solution core and the coating fat phase, which was made of a mixture of phosphatidyl choline, phosphatidyl glycerol, and cholesterol. Lip 1 was uncoated, while Lip 2 was coated with Chitosan-glutathione conjugate. Both liposomes were outperformed by SLNs in encapsulation efficiency. The two types of SLNs are unmodified DA-SLN (SLN 1) and Glycol Chitosan-associated GCS-DA-SLN (SLN 2). In the case of SLN 2, the GCS component contributed to the network on the shell of the nanoparticle, reducing the leakage of the drug. Therefore, SLN 2 outperformed SLN 1 in encapsulation efficiency. The drug was administered intranasally. The GCS component increased the mucoadhesive ability of SLN 2, allowing the nanoparticles to be taken up with high efficiency by olfactory ensheathing cells (OECs), enabling better drug administration. The study also proved that the SLNs lack cytotoxicity towards OECs, rendering it a rather safe route (Trapani, A et al., 2021). 

Inspired by SLN 2, the general image of our proposed lipid nanoparticle carrier of paroxetine is shown Figure 1. We surrounded the lipid basis and its stearoyl polyoxyglycerides shell with a hydrophilic layer and GCS in order to increase the mucoadhesive ability of the nanoparticle. Notably, according to the structure of paroxetine, it will be involved in the outer network of hydrogen bonds and molecular interactions, as dopamine was in the paper. The methods of preparation were recorded in the reference (Trapani, A et al., 2021). We are uncertain if chemicals like Gelucire® 50/13 or stearoyl polyoxyglycerides still apply here. Specific components of the designed SLN need to be determined in further research. 

JDTic does not display good lipophilic properties. To avoid the challenge of encapsulation of hydrophilic compounds in SLN, as mentioned in the paper, since the paper suggests that liposomes have aqueous cores (Trapani, A et al., 2021), we propose to use a liposome carrier to deliver JDTic, as shown in Figure 2. Notably, although in the study of Wang et al., the delivered mRNA is aqueous, the following studies and property determination are all done in the context of intravenous delivery. We are not sure if the results still apply to intranasal administration. Thus, we did not adopt the LNP used in this study (Wang et al., 2025). We propose to use the same component as coating lipids as used in the reference. To increase encapsulation efficiency, an appropriate polymer coating (e.g., chitosan, alginate) may be applied to limit such drug leakage. Its preparation methods were also recorded (Trapani, A et al., 2021). Still, the exact component of the liposome requires further determination. 

5. Nasal Route

After intranasal administration, drugs primarily enter the brain by interacting with neural pathways within the nasal cavity. Specifically, drugs absorbed from the nasal mucosa can be transported along the axons of the olfactory and trigeminal nerves. Olfactory sensory neurons take up the drugs and transport them via their axons to the olfactory bulb, the first site of entry into the brain. Subsequently, drugs can diffuse further from the olfactory bulb to more distant brain regions, such as entering cortical and hippocampal areas via cerebrospinal fluid circulation. Beyond intracellular transport along nerve axons, drugs may also enter through extracellular pathways—specifically, by crossing tight junctions between epithelial cells into the lamina propria of the submucosal layer, then traversing perineural spaces to ultimately reach the subarachnoid space, thereby diffusing into brain tissue (Erdő et al., 2018). 

The primary advantage of the intranasal route of administration lies in its ability to bypass the blood-brain barrier, enabling direct delivery of drugs to the central nervous system. This opens therapeutic possibilities for large molecules or hydrophilic drugs—such as dopamine, neuropeptides, and even mRNA—that struggle to cross the BBB. Compared to oral or intravenous administration, this route typically yields higher brain bioavailability, achieving greater brain tissue exposure at equivalent doses. Simultaneously, reduced systemic circulation helps minimize peripheral side effects. Furthermore, intranasal administration offers non-invasive delivery, facilitates patient self-administration, and provides a relatively rapid onset of action. It demonstrates potential for treating both acute and chronic central nervous system disorders, including neurodegenerative diseases, epilepsy, and pain management (Erdő et al., 2018). 

6. Developments and Limits

JDTic has yet to be applied clinically, and its effectiveness in humans is still lacking validation. Also, existing study suggests that nonsustained ventricular tachycardia is a potential JDTic toxicity in humans (Buda et al., 2015), indicating potential medical safety problems. Further assessments and studies on the drug safety of JDTic are required. 

The reported effectiveness of the drugs on dissociation is conflicting, and any significantly effective drug for dissociative symptoms is not clear yet. For instance, although opioid receptor antagonists are believed to be effective in dissociation, research indicates that naltrexone, an opioid receptor antagonist, cannot cancel out the dissociative symptoms induced by ketamine (Jacobson et al., 2020). It is possible that ketamine induced dissociation is not the same as dissociation observed in DID patients in terms of mechanisms. However, further determination is still needed.

The stability and storage of lipid nanoparticles still need to be improved. The paper suggests that the liposome can be stored for 6 days under 4 degrees Celsius, while SLN can maintain stability for 1 month before undergoing particle aggregation and drug autoxidation. Also, the encapsulation efficiency of liposomes is not quite satisfying due to drug leakage, and the polymer coating can only improve this condition to a limited extent (Trapani, A et al., 2021). The refrigeration requirement might lead to increased storage and transportation costs, and the drug delivery efficacy requires further improvement. 

Due to the omnipresence of the serotonin receptors and KORs in the brain, we are not sure if the impact of the medication on the whole brain will bring any side effects. Medication safety requires future confirmation. 

As this study is about mental illness medication, which must be applied carefully, this study lacks experimental data, and the effectiveness of the therapeutics proposed in this study remains to be seen. Further experiment is needed to test its viability, and more assessments of its effectiveness are required.

The glutamatergic system might also be related to the dissociative symptoms of DID. Glutamate receptor can be classified into ionotropic glutamate receptors(iGluRs), which are ion channels, and metabotropic glutamate receptors (mGluRs), which are GPCRs. They are widely distributed in the central nervous system (CNS). They are involved in synaptic transmission and regulate learning, memory, and neural plasticity through long-term potentiation (LTP) and long-term depression (LTD) (Wang et al., 2024). Ketamine is a dissociogenic drug that influences NMDA, a kind of iGluR. Moreover, glutamate levels in the anterior cingulate cortex positively correlated with dissociative symptoms in a borderline personality disorder sample. However, evidences are still limited, and the medications acting on the glutamatergic system show conflicting results on relieving dissociative symptoms (Purcell et al., 2024). Therefore, we did not concentrate on this neurotransmitter system. However, we believe there might be a potential relationship between the glutamatergic system and the dissociation, which calls for further study. 

Clinical evidence suggests that DID is induced by childhood abuse (Purcell et al., 2024). It has been suggested that epigenetics is the link between environmental factors and physiological features (Weir, 2012), so we are convinced that DID can also be related to epigenetics, which may inspire further exploration or other treatment routes. Additionally, DID was also proven to display multiple neural structural differences compared to normal brains, such as reduced cortical and subcortical volumes in the hippocampus, amygdala, and parietal structures (Blihar et al., 2020), or dysregulation of activity in the prefrontal cortex, amygdala, and other brain areas (Shimiaie, 2025). While this paper mainly focused on the neurochemical basis of DID, this might suggest another perspective on the neurological basis of the disorder, thus leading to future research. 

In DID, the dissociation symptoms usually appear along with other disorders, namely depression, anxiety, and somatization, which could require concomitant drug application (Purcell et al., 2024). To explore drug interactions and avoid adverse effects due to concomitant drugs, an artificial intelligence application has been introduced, and a systematic review of the viability of this method has been conducted (Zhang et al., 2024). With further development, this application of AI could lead to more improvement in DID treatment. 

The treatment mentioned in this paper may also be applicable to dissociation under other circumstances. However, further research is needed to validate this hypothesis, since dissociative symptoms could appear slightly differently in different illnesses.

Considering nasal administration, there could be ways to improve the drug delivery efficiency. The nasal epithelium can be a rate-limiting barrier of drug uptake, where cells are joined together by tight junctions. Therefore, permeation enhancers, such as borneol, chitosan, and cyclodextrins, are applied to enhance drug transportation. The effectiveness of intranasal administration is more influenced by the administration technique compared to other routes. The administration technique should be efficient and feasible for the patient to administer by themselves. Nasal drops spread over a larger area than nasal sprays and display a higher deposition rate compared to nasal sprays, if administered correctly. While drops are more easily cleared from the administration region than sprays, adding mucoadhesive agents can address this problem. However, nasal drops require a highly accurate administration technique and correct head position. Some novel intranasal delivery devices include the Vianase^TM electronic atomizer and the bi-directional delivery device Opt-Powder by Optinose^®, the potential of which on lipid nanoparticle delivery requires further studies. Multiple approaches have been studied to increase brain uptake of drugs, including increasing drug lipophilicity, increasing carrier-mediated transport through the BBB, and decreasing efflux by applying transport inhibitors (Erdő et al., 2018). Studies of delivery efficacy-enhancing methods could further propel the development of intranasally administered mental disorder medications.

7. Conclusion

This paper offers a novel insight into DID medical treatment based on KOR and serotonergic system and LNP delivery through the intranasal route. Although this treatment possesses the theoretical advantage of targeting the brain and improving bioavailability, its clinical transformation still needs to overcome major obstacles. JDTic, a proposed medication, has not been put into clinical application and faces safety challenges. The stability of nanoparticle carriers could be improved. There is a lack of experimental data. Future studies could focus on medication trials, nanoparticle carrier improvement, delivery efficacy enhancers, and more exploration into the neurologic basis of DID. We hope to develop safe and accurate medical therapy for DID. 

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About the author

Kaifeng Zhu

Kaifeng is currently an 11th grade student in EHSBNU, graduating in 2027, and anticipating future study in biomedicine.

The post Possible Lipid Nanoparticle Drug Treatment for DID Based on its Biological Mechanism Administered from the Nasal Route appeared first on Exploratio Journal.

I. Abstract

Imagine a universe where nothing has a definite state until you look at it. The tension between scientific abstraction and the real human experience has elevated with the emergence of quantum physics, a field that reveals a nature of reality that subverts the “common sense” world we perceive. Unlike human experience, grounded in concrete, sequential events, quantum physics suggests a probabilistic, interconnected universe where particles exist in multiple states until observed. This abstract scientific worldview challenges how humans perceive reality and raise questions about whether quantum physics, and scientific frameworks in general, can encapsulate individual’s lived human experience. Amidst this ongoing debate that dates to the 1920s, when quantum physics theories were first proposed by Max Planck, two thinkers across decades offer two competing views. Kurt Riezler, in 1940, critiques quantum physics’ inability to capture lived reality through the psi function’s probabilistic vagueness, the anonymous observer’s displacement of subjectivity, and the Aristotelian call for science rooted in reality. Conversely, Carlo Rovelli, in the 2010s, defends quantum physics through relational ontology, framing its uncertainty as a gateway for imagination and a sign of the universe’s interconnectedness. This paper argues that Rovelli’s interpretation is philosophically rich yet still fails to bridge quantum physics to individual human existence, which was Riezler’s main concern. Despite holding different stances, both thinkers value wonder, humility, and humanity in scientific inquiry and affirms the paper’s broader implication that science and philosophy must work together to reveal universal truths. 

Keywords: Quantum Physics, Psi Function (ψ), Anonymous Observer, Relational Ontology

II. Introduction

The tension between science and philosophy has long centered on the relationship between scientific models and humanity, the lived human experience. This paradox became especially relevant with the rise of quantum physics, which redefined humans’ knowledge of causality and relations. In the early twentieth century, German philosopher and poet Kurt Riezler warned that modern science had grown estranged from its human roots by reducing the universe to probabilities and formulas detached from meaning and purpose and so had quantum physics. On the other hand, contemporary physicist-philosopher Carlo Rovelli embraces the uncertainty of quantum physics, presenting it not as a barrier to human understanding but as an invitation for people to rethink what reality actually is.

This paper argues that Riezler’s Aristotelian standpoint critiques the non-teleological (teleological is a philosophical term denoting the purpose something serves in a material world) nature of quantum physics, its inaccuracy, and its lack of human participation. On the other hand, Rovelli supports quantum physics, believing that its uncertainty philosophically reveals a world woven from interactions. However, I argue that Rovelli’s interpretation does not entirely resolve Riezler’s concern, despite being philosophical and purposeful, as it still fails to resolve the problem of whether quantum physics is linked to everyday individual existence.

Both Rovelli and Riezler share a conviction, rare in scientific discourse, that the pursuit of knowledge is inseparable from the pursuit of happiness. However, their perceptions of happiness diverge: for Riezler, serenity arises from a teleological account of nature grounded in lived experience; for Rovelli, happiness stems from the realization of individuals’ interconnectedness with an indeterminate, relational universe. 

III. Riezler’s Critique of Quantum Physics

1. Probability and the Psi Function (ψ)

Kurt Riezler’s critique of quantum physics stems from its disconnection from human experience and from the universe’s complexity. He argues that scientific equations and probabilities inaccurately account for the human world. He specifically refers to the psi function ψ. In the physics context, the psi function is not the derivative of the logarithm of the gamma function in math, but a wave function that describes a state of a quantum system or a particle. It is used to calculate the probability density of finding a particle with a certain quality or in a particular location (OpenStax, n.d). This wave is something unclear, since, according to Schrodinger’s formula, it evolves unless observed by someone.

First, Riezler explained that the psi function’s probabilistic framework of quantum theory is vague and inaccurate. The psi function does not calculate each event individually but as a wave of probabilities and potential outcomes of the event. “You repeat the same experiment as often as possible,” Riezler observes. “The outcome is a catalogue of various reactions.” (Riezler, 1940, p. [29]). In other words, the experiment does not show what one phenomenon is; it only shows the probabilities of the different outcomes that appeared of that phenomenon. The knowledge thus gained, he writes, is “knowledge about the class to which this element belongs,” not about the element itself (Riezler, 1940, p. [30]). The psi function’s probabilities may describe how often certain results occur, but they cannot tell us the specific implications of each result. 

Moreover, Riezler argues that the psi function oversimplifies and distorts reality’s complexity. “The psi function of quantum theory,” he writes, “base the large world on the small… Thus your science is a mirror inadequate to the object to be reflected” (Riezler, 1940, p. [27-28]). He argues that, rather than deriving its concepts from direct experience of the macroscopic world, quantum physics attempts to build that world out of abstract, artificial tools of the microscopic. The “small” world of particles, which is accessible only through indirect measurement and symbolic modeling, becomes the foundation for explaining the “large” reality. The phrase “base the large world on the small” summarizes the metaphysical absurdity (‘atopan’) Riezler detects in modern science (Riezler, 1940, p. 28). He argues that the microphysical cannot measure the macro world, just as the visible cosmos cannot be explained through invisible constructs. This inversion, for Riezler, is not only epistemological (relating to the theory of knowledge concerning its methods, validity, and scope) but existential: people now seek to investigate the visible through the invisible, the concrete through the hypothetical. 

2. The Anonymous Observer and the Displacement of Subjectivity

Linked to the psi function is Riezler’s notion of the anonymous observer. The “observer” in quantum physics is not a real being with emotions, memory, or moral judgment, but a neutral apparatus. For Riezler, the lack of a conscious mind that performs the measurement is flawed: it assumes that objectivity can exist independently of the subject. But in truth, he argues, the subjective is actually the foundation of the objective in a human-centered world. This inversion also aligns with the etymology of the two words. Subjective comes from the Latin “subicere”—meaning “to throw under,” to lay the foundation upon which one stands—while objective derives from “obicere”––meaning “to throw before,” something which is set out in front of the subjective. The subject, consciousness, is thus the ground, the underlying presence that makes any measured object real. Riezler argues that it is inaccurate to pursue objective knowledge through an “anonymous observer” that lacks a mind since observation, by its nature, implies a standpoint, and standpoints equate subjectivity.

3. Connecting Riezler’s Argument to Ancient Philosophers

Riezler upholds the Aristotelian view of science as an inquiry, a living path that connects natural science, physics, math, ethics, and human beings. According to Schulman Adam Leonin, his essay “Quantum and Aristotelian Physics,” Aristotle’s methodos refers to the “search for knowledge itself, rather than to a set of rules governing the research. Sometimes [Aristotle] speaks not of methodos but simply of hodos, that is, a path or way… Aristotle is always conscious of the danger of too quickly fastening upon technical terms that either fail to capture the phenomena fully or that cover over a problem that deserves further attention. The path to knowledge should repeatedly return to surface impressions to verify that the precision of our principles has not been won at the price of narrowing and distorting our vision” (Schulman, 1989, pp. 9-10). Riezler shares this caution, asserting that inquiry should always link back to lived experience. This verifies that science’s conceptual frameworks do not flatten and distort the way reality functions on an everyday scale. 

Riezler’s critique echoes Aristotle’s notion of theoria (the activity of contemplation as the highest human act) and his own belief in humans’ fundamental desire for knowledge. That is, if people cease to investigate reality by themselves and instead rely on external tools to do so, they diminish their inherent desire for active contemplation. This perspective subtly alludes to Plato’s critique of writing in Phaedrus. Plato argues that writing is an elixir of forgetfulness for the souls that rely on it. This invention strips humans of their active recollection and contemplations as they rely on these external symbols to remember. These ancient philosophers, Aristotle and Plato, were all concerned about the danger of these external tools, whether it is writing or science. 

IV. Rovelli’s Relational Ontology of Quantum Physics and Its Philosophical Implications

Having established Riezler’s concerns about quantum physics’ disconnection from human experience, we now turn to how Rovelli transforms these same uncertainties into philosophical opportunities. Carlo Rovelli’s interpretation of quantum physics begins from an acceptance of uncertainty as an essential feature of the universe, which he perceives as fundamentally relational, not absolute. The term, relational ontology, refers to his view that relations between entities are more important than the identities of the entities. More specifically, Rovelli insists that the foundations of modern physics stemmed not from rigid formulas but from imagination and philosophical vision, the very qualities Riezler championed as meaningful science grounded in human experience. In Reality Is Not What It Seems: The Journey to Quantum Gravity, he asserts that Einstein developed relativity not from equations but from mental images of the universe: “the equations, for him, came afterwards; they were the language with which to make concrete his visions of reality… the theory of general relativity is not a collection of equations: it is a mental image of the world arduously translated into equations” (Rovelli et al., 2018, p. [76]). In other words, Einstein’s insights arose not from mathematical manipulations but from a poetic act of visualization of the universe as a unified fabric of space and time. Through this lens, physics becomes a philosophical, and even aesthetic, endeavor that translates intuition into symbols.

This perspective reverses Riezler’s critique of quantum physics as an abstract catalogue of aggregates detached from lived experience. While Riezler feared that equations stripped humanity, Rovelli views them as a medium of humane imagination. Rovelli finds in quantum physics a form of Romanticism, a reverence for the unseen harmony binding all matters together. In the opening chapter of Reality is Not What it Seems, Rovelli praised Lucretius’ poem “De  Rerum Natura” (“On the Nature of The Universe”)––quoting “we are all sprung from heavenly seed…”––which, in his words, “expresses in luminous verse philosophical questions, scientific ideas, refined arguments” all at once” (Rovelli et al., 2018, p. [20]). He argued that “the beauty of the poem lies in the sense of wonder which pervades the vast atomic vision –– the sense of the profound unity of things, derived from the knowledge that we are all made of the same substance as are the stars, and the sea” (Rovelli et al., 2018, p. [21]). By tracing modern science to ancient philosophical insights of the universe, Rovelli demonstrates how quantum physics, far from being only a statistical tool, is a philosophical exploration of the universe’s interconnectivity.

Paul Dirac’s principle of superposition illustrates the interconnectedness of imagination and precision. According to Dirac, a quantum entity such as a photon exists in multiple possible states simultaneously until measured. The double-slit experiment, which demonstrates that photons and electrons behave as both waves and particles, exemplifies this insight. When photons or electrons pass through two slits unobserved, they produce an interference pattern, behaving as waves distributed across space. Yet, when one just looks to see or anticipates which slit they pass through, the interference vanishes; the pattern collapses into two discrete bands. This wave-particle duality overthrows our understanding of the traditional wave function and Riezler’s argument about the anonymous observer. Here, the very act of observation transforms what is observed. 

Another experiment that addresses the inseparable relationship between the observed and the observer is Schrödinger’s cat (1935). The experiment involves a cat sealed in a box with a radioactive atom, a Geiger counter, a hammer, and poison. The atom’s decay is governed by quantum probability (50% chance of decay): it may or may not release radiation that would kill the cat in a given time frame. The cat is neither definitively alive nor dead, suspended in a superposition of both possibilities, until an observer opens the box. This experiment shows that quantum states are undetermined until observed. As Rovelli explains in Helgoland, “facts that are real with respect to an object are not necessarily so with respect to another” (Rovelli et al., 2022, p. [72]). The radiation emitted by the atom, as Rovelli emphasizes, does not have a definite value until it affects another system. The fate of the cat is indeterminate until relations between the atom, the cat, and the observer are established. In this framework, reality emerged only through interactions. 

As the psychologist Amos Tversky puts it, “reality is a cloud of possibility, not a point” (Stockton, 2017). The analogy of reality to misty clouds in a blurred photograph captures the ambiguity of this relational world: when an image appears unclear, one may ask whether the blur arises from the photographer’s unsteady hands or from the mist itself. For Rovelli, this distinction collapses as the uncertainty belongs to the act of seeing as much as to the seen. Reality’s imperfection is an intrinsic quality of existence.

The indeterminacy of all things in the absence of relational context challenged earlier philosophers and scientists, such as Newton and Hobbes. They envisioned a universe governed by immutable laws. They sought to dispel the “clouds” since truth resided in the elimination of ambiguity. Rovelli’s argument of quantum physics, however, weaves the uncertainty as an essential part of truth. Thus, Rovelli’s quantum mechanical worldview dissolves the Cartesian boundary between subject and object, suggesting instead a universe intertwined with relations.

In psychological terms, this relational worldview connects to human serenity. For Rovelli, serenity arises not from mastering the world but from recognizing one’s belonging within an interdependent universe and one’s ignorance amidst its complexity. This feeling of serenity, which stems from recognition of one’s ignorance, aligns with ancient philosophers such as Socrates and Confucianism. In Plato’s Apology, Plato wrote Socrates’ assertion that “I am wisest of all the Greeks because that which I do not know, I do not think I know either” (Plato, n.d., p. 83). Therefore, to live, as Rovelli suggests, is to dwell within the cloud of possibilities and to accept the world not as a set of certainties but as a field of relations continuously unfolding.

In the closing pages of Helgoland, Rovelli turns to Shakespeare’s The Tempest, quoting Prospero’s famous farewell: 

“These are actors,

As I foretold you, were all spirits and

Are melted into air, into thin air:

And, like the baseless fabric of this vision…

Yea, all which it inherit, shall dissolve.

And like this insubstantial pageant faded,

Leave not a rack behind. We are such stuff

As dreams are made on, and our little life 

Is rounded with sleep.”

The quotation encapsulates Rovelli’s vision of reality as transient, woven of relations that shimmer briefly before dissolving. The last sentence echoes Rovelli’s belief in “confirmed hallucination.” This concept echoes 19th-century French philosopher Hippolyte Taine’s insight that “external perception is an internal dream which proves to be in harmony with external things.” Like the character Prospero’s vision of life as a dream sustained by momentary harmony, Rovelli’s universe is a network of fleeting interactions whose beauty lies in their impermanence. 

However, even Rovelli does not resolve Riezler’s question about quantum physics’ inability to capture the full depths and dimensions of the universe, which, I believe, is incapable to be explained even by modern philosophy and technology. It requires the ongoing, collaborative research of both philosophy and science, fields that are deeply connected.

V. Conclusion

In the end, Rovelli concedes that the reach of quantum physics is not unlimited. He fails to see any quantum explanation for subjectivity, perceptions, intelligence, consciousness, or any other aspects of our mental life. Quantum phenomena intervene in the dynamics of atoms, photons, electromagnetic impulses, and all other microscopic structures that give rise to our body, but there is nothing specifically quantum that could help us understand what thoughts, perception, and subjectivity are. Even in a neuroscience context, neurons and their signaling molecules are too large for quantum phenomena to play a role in their functioning, as expressed by Daniel Demmet. He stated, “Most biologists think that quantum effects all just cancel out in the brain, that there’s no reason to think they’re harnessed in any way. Of course they’re there; quantum effects are there in your car, your watch, and your computer. But most things — most macroscopic objects — are, as it were, oblivious to quantum effects.” (Penrose and Dennett, 1995). This acknowledgement is not a defeat, but a recognition that even the most sophisticated physics does not unravel the mystery of consciousness. 

Riezler would have regarded this concession as proof that the essence of human existence, with its moral, existential dimensions, lies beyond the restriction of theoretical science. But Rovelli views this limitation as a form of serenity. For him, the inability of quantum physics to explain human experience does not diminish its depth. Nevertheless, the distance between Riezler and Rovelli may not be as great as it first appears. Both reject the illusion of absolute mastery of the universe and support an ideal form of science rooted in wonder, humility, and humanity. To me, quantum physics does not need to fully explain the universe and our consciousness to be valuable. 

VI. References

Jedlicka P. (2017). Revisiting the Quantum Brain Hypothesis: Toward Quantum (Neuro)biology? Frontiers in molecular neuroscience, 10, 366. https://doi.org/10.3389/fnmol.2017.00366

Lewis, M. (2017). The Undoing Project: A Friendship that Changed our Minds. W.W. Norton & Company.

OpenStax (Ed.). (n.d.). 7.2: Wave Functions. LibreTexts Physics. https://phys.libretexts.org/Bookshelves/University_Physics/University_Physics_(OpenStax)/
University_Physics_III_Optics_and_Modern_Physics_(OpenStax)/07%3A_Quantum_Mechanics/7.02%3A_Wavefunctions

Plato. (n.d.). Plato, Euthyphro. Apology. Crito. Phaedo: Apology (H. N. Fowler, Trans.). Loeb Classical Library.

Riezler, K. (1940). Physics and Reality: Lectures of Aristotle on Modern Physics. Yale University Press.

Rovelli, C., Carnell, S., & Segre, E. (2018). Reality is not What it Seems: the Journey to Quantum Gravity. Riverhead Books.

Rovelli, C., Segre, E., & Carnell, S. (2022). Helgoland: making sense of the quantum revolution. Riverhead Books.

Schulman, A. L. (1989). Quantum and Aristotelian Physics. Harvard University ProQuest Dissertations & Theses.

Stockton, S. S. (Ed.). (2017, September 9). Living in a Cloud of Possibilities. Retrieved November 25, 2025, from https://intrinsicinvesting.com/2017/09/29/living-cloud-possibilities/

About the author

Joanna Zhang

Joanna Zhang is currently a junior at Milton Academy, with academic and research interests that include philosophy, quantum physics, religious studies, classics, and Russian literature.

Outside academics, Joanna is a passionate creative writer, winning two Massachusetts region gold keys in poetry in the Scholastic Arts and Writing Award and publishing her novella, Caroline, under Archway Simon and Schuster. She also loves dancing, specifically hip-hop and K-pop, and choreographing.

The post The Human Element: Riezler’s Critique and Rovelli’s Defense of Quantum Physics appeared first on Exploratio Journal.

Abstract

The field of bionic limb technology is currently undergoing a pivotal paradigm shift, transitioning from purely functional robotic design to highly integrated neuroprosthetic systems. While contemporary advancements in neural interfaces and powered robotics have improved user capabilities, clinical translation remains hampered by issues such as signal instability, limited sensory feedback, and poor biocompatibility of interfaces. This literature review synthesizes recent progress in the clinical translation of bionic limbs, focusing on three core pillars: advanced neural interfaces, osseointegration, and patient-centric design. We explore the role of bidirectional control, the application of reinforcement learning for robust intent decoding, and the integration of digital twins for personalised residuum management. By evaluating the co-evolution of surgical innovation and robotic hardware, this review highlights the critical need for a “clinical-push” methodology, in which design is driven by long-term residuum health rather than mere functional performance. The findings emphasise that successful clinical outcomes depend on treating the prosthetic and the user’s altered physiology as a single, integrated system, ultimately identifying key barriers to translation and proposing a framework for more equitable, accessible, and durable prosthetic care. 

Keywords: Neuroprosthesis, Bionic Limbs, Neural Interfaces, Osseointegration, Rehabilitation, Neuroplasticity, Bidirectional, Targetted Muscle Reinnervation (TMR), and Agonist-Antagonist Myoneural Interface (AMI)

1. Introduction: 

The cinematic image of a sophisticated, seamlessly integrated artificial limb, once a domain of science fiction, is slowly becoming a clinical reality. For centuries, the ambition to replace missing limbs with functional, anthropomorphic counterparts has driven immense innovation. Yet, the reality of many amputees remains defined by the limitations of traditional, socket-based prostheses. While these conventional devices provide basic mobility, they are frequently associated with chronic pain, skin breakdown, and osseous degeneration, leading to high rates of device abandonment. The core of this challenge lies in the “HMI paradox” whereby, as the level of amputation increases, the technical complexity required for control increases as well, while the available biological signals from the residual limb diminish. 

To overcome these barriers, the field has increasingly turned towards bionic limbs, which aim to replicate biological function through a marriage of robotics, surgery, and neuroscience. Unlike passive devices, modern bionic limbs leverage sophisticated neural interfaces, such as Targeted Muscle Reinnervation (TMR) and the Agonist-Antagonist Myoneural Interface (AMI), to create direct channels for motor intent and sensory feedback. Furthermore, the emergence of osseointegration, where prosthetics are directly skeletally attached, offers a stable, reliable foundation that bypasses the limitation of soft-tissue socket interfaces entirely. 

However, technology alone does not guarantee success. The history of prosthetic development has been dominated by a “technological-push” model, often neglecting the biological reality of the user. True clinical translation requires a transition toward a patient-centric approach that prioritises residuum health, embodiment, and long-term viability (Figure 1). This literature review examines the intersection of three fundamental domains: neural interfaces, which bridge the gap between brain and machine; osseointegration, which ensures skeletal and functional stability; and patient-centric design, which integrates digital monitoring and personalised rehabilitation (Figure 1). In the following sections, I will synthesise these advancements, starting with the technical evolution of bidirectional neural control, moving into the essential role of skeletal integration and residuum health, and concluding with a framework for how researchers may overcome current clinical and organisational barriers to make bionic limbs a sustainable, equitable standard of care. 

2. Neural Interfaces and Bidirectional Control

Establishing a reliable, bidirectional link with the peripheral nervous system serves as the foundational requirement for any functional bionic limb. Recent surgical breakthroughs seek to maximise the “information throughput” of this interface, ensuring that the human-machine interaction is not limited by a lack of viable control signals. 

Amputations affect hundreds of thousands of people each year in the United States and Europe, particularly. Therefore, there has been a growing interest in neuroprosthetics that can restore both movement and sensation. While today’s bionic limbs can perform increasingly precise movements, they still fall relatively short when replicating a natural limb. One of the biggest challenges regarding this is establishing a strong, long-term connection with the peripheral nervous system that can both monitor motor commands and deliver meaningful sensory feedback (Cho et al., 2023). Existing neural interfaces, whether engineered or biological solutions, often struggle with durability, biocompatibility, and limited signal variety. A new hybrid bionic interface has been established to bridge these gaps by combining a regenerative peripheral nerve interface (RPNI) with a traditional nerve interface with a single implant (Cho et al., 2023). The device uses a buckle-shaped design made from a shape memory polymer (SMP), allowing it to be easily implanted onto a severed nerve while also connecting to a muscle graft. Long-term in rabbits showed that the interface remained stable and biocompatible while reliably recording and stimulating neural signals (Cho et al., 2023). Most importantly, it was able to capture distinct motor signals during natural walking and use as a robotic leg. Overall, the hybrid interface offers a more flexible and information-rich way to connect nerves to prosthetics, bringing neuroprosthetic control closer to natural movement and sensation.

2.1 Continuous Neural Control of a Bionic Limb

A 2024 study in Nature Medicine highlights a significant paradigm shift in prosthetic technology by prioritising surgical-neural integration through the Agonist-Antagonist Myoneural Interface (AMI) (Song et al., 2024). Unlike contemporary bionic limbs that rely on intrinsic pre-defined control frameworks to estimate gait phases, the AMI procedure restores a degree of natural proprioception by surgically reconnecting residual muscle pairs. This interface allows the human nervous system to directly and continuously neuromodulate the bionic limb (Figure 2), augmenting residual muscle afferents by 18% if biologically intact values (Song et al., 2024). This restoration of sensory feedback proved sufficient to enable a highly biomimetic gait, with participants achieving a 41% increase in maximum walking speed compared to matched control cohorts (Song et al., 2024). Furthermore, the study demonstrates that this level of afferent augmentation allows for seamless adaptation to complex, real-world environments such as stairs, slopes, and obstructed pathways without the need for robotic decision-making (Figure 2). Ultimately, these results suggest that even partial reinstatement of the biological feedback loop is sufficient for the human nervous system to regain versatile, biomimetic motor control, offering a potent alternative to autonomous robotic systems.

2.2 Improving Bionic Limb Control

Freitag et al. (2026) investigated the use of reinforced learning (RL) to improve the decoding of human motor intent for bionic limb control using electromyographic signals (EMG) (Freitag et al., 2026). Accurate and robust intent decoding remains a major challenge in prosthetics, and most existing approaches rely on supervised learning (SL) trained on static, labeled EMG datasets (Freitag et al., 2026). However, such data fails to reflect natural muscle activity during real-world use, limiting online performance and usability. The researchers propose a novel training framework that combines SL and RL. An initial control policy is first pretrained using supervised learning based on EMG recordings. This policy is fine-tuned using offline reinforcement learning with dynamic EMG data collected while participants interact with a custom-designed, Guitar Hero-inspired game. The game environment enables real-time, human-in-the-loop interaction and provides a structured reward signal based on movement accuracy and timing. The Advantage Weighted Actor Critic (AWAC) algorithm is used to improve the policy while remaining close to previously learned behaviours (Freitag et al., 2026). Experiments were conducted with nine able-bodied participants performing simultaneous finger movements. Results show a threefold increase in normalized cumulative reward and more than a two-fold improvement in decoding accuracy compared to the supervised baseline (Freitag et al, 2026). Improvements generalised to a separate motion test, demonstrating enhanced robustness. The study concluded that reinforcement learning on interactive, usage-based data can bridge the gap between offline training and real-world prosthetic control, supporting more intuitive and reliable bionic limb operation.  

The future of bionic limbs depends on bridging the gap between advanced engineering and the biological reality of the post-amputation physiology of patients (Paslausta et al., 2022). Engineers have developed sophisticated bidirectional systems capable of decoding motor intent and providing sensor feedback using surgical techniques like Targeted Muscle Reinnervation (TMR) and Agonist-Antagonist Myoneural Interface (AMI) (Paslausta et al., 2022) (Figure 3). Methods like TMR and AMI are highlighted for their ability to recreate biological feedback loops, such as proprioception, that the brain expects to receive (Figure 3). Moreover, researchers highlight the need for biomimetic encoding and moving beyond simple electrical pulses to natural sensory algorithms with a deeper focus on motor control theory and understanding how the brain manages postural balance and embodiment (Paslausta et al., 2022).

Restoration of sensorimotor function in upper limb amputees has historically been limited by the lack of reliable control, sensory feedback, and comfortable attachment (Ortiz-Catalan et al., 2023). Traditional socket-based prostheses often cause discomfort and rely on surface electrodes that are prone to signal interference. Ortiz-Catalan et al. detail the clinical implementation of a transradial neuromusculoskeletal prosthesis, which connects a bionic hand directly to the user’s nervous and skeletal systems (Figure 4). In a landmark case study, a patient with a below-elbow amputation received titanium implants in the radius and ulna for osseointegration, providing stable skeletal attachment (Figure 4). Surgically, the interface was enhanced by creating regenerative peripheral nerve interfaces (RPNIs) through the transfer of severed nerves into free muscle grafts (Ortiz-Catalan et al., 2023). These grafts, along with native muscles and the ulnar nerve, were instrumented with implanted electrodes (Figure 4). The resulting system is entirely self-contained, requiring no external batteries or processing units for daily use. 

Long-term results over three years demonstrated significant improvements:

1. Enhanced Function: Improved scores in the Southampton Hand Assessment Procedure (SHAP) and Assessment of Capacity for Myoelectric Control (ACMC).
2. Sensory Feedback: Consistent tactile sensations elicited via direct neural stimulation of the ulnar nerve.
3. Quality of Life: A marked reduction in phantom limb pain and a substantial increase in overall well-being. 

This integrated approach overcomes the “HMI paradox” by providing a high-bandwidth, stable, and bidirectional communication channel between the patient and the bionic limb (Ortiz-Catalan et al., 2023).

3. Neuroplasticity and User Adaptation

Once a physical neural connection is achieved, the focus must shift to the central nervous”s systems” innate ability to adapt to artificial input. Understanding the brain’s capacity for cortical reorganisation is essential, as the user must essentially re-learn how to control a limb that no longer communicates through the traditional biological pathways. 

3.1 Bidirectional Bionic Limbs

Although engineers have developed sophisticated bidirectional systems capable of decoding motor intent and providing sensory feedback, these technologies often operate in a vacuum, failing to account for how nervous systems reshape after losing a limb (Paslausta et al., 2022). Amputation triggers significant cortical reorganisation, where the brain’s sensory and motor maps may shrink or shift over time (Paslausta et al., 2022). To address this, a transdisciplinary approach is required to manage neuroplasticity. Thus, a solution that combines high-tech hardware with innovative surgical techniques must be implemented. Ultimately, restoring the true function of a missing limb requires treating the prosthesis and the patient’s altered physiology as a single, integrated system rather than separate components (Paslausta et al., 2022).  

The concurrent TMR, targeted sensory reinnervation (TSR) for touch, and vibration-induced kinesthesia significantly advance bionic limb functionality toward able-bodied norms (Marasco et al., 2021) (Figure 5). By establishing a bidirectional neural-machine interface in participants with proximal neural-limb amputations, this approach moves beyond traditional myoelectric control to restore complex sensory-motor loops. The simultaneous delivery of tactile and kinesthetic feedback allows users to transition from speed-driven, compensatory behaviours to accuracy-maximising strategies, characterised by a marked reduction in visual dependency (Marasco et al., 2021). This restoration of feedback channels promotes a measurable shift in visuomotor behaviour whereby users redirect their gaze from the prosthetic hand toward the intended target while also enhancing limb ownership by aligning the device’s performance with the brain’s internal model (Marasco et al., 2021) (Figure 5). Ultimately, providing a multifaceted sensory experience is critical for reducing cognitive load and achieving “human-like” integration in prosthetic systems, effectively stratifying bionic performance away from conventional prosthetics and toward natural physiological function. 

3.2 Biometric Versus Arbitrary Motor Control

Contrary to the long-standing “biomimetic assumption” in neuroprosthetics, recent evidence from Nature Human Behaviour (2024) suggests that anthropomorphic control strategies, those that mimic biological movements, do not inherently provide superior long-term benefit for device learning or embodiment (Schone et al., 2024). By evaluating participants using a myoelectric bionic hand, researchers compared a biomimetic mapping against an arbitrary, non-biomimetic strategy to determine if recruiting pre-existing neural resources actually enhances performance. The findings revealed that while biomimetic control offered an initial “intuitive” advantage in speed and automaticity, these differences vanished as training progressed, with arbitrary users eventually matching their counterparts in dexterity and gesture switching (Marasco et al., 2021). The study further demonstrated that the arbitrary control group exhibited significantly higher levels of generalisation when they were tasked with a novel control mapping; arbitrary users maintained their proficiency, whereas biomimetic users experienced a sharp decline in performance (Marasco et al., 2021). Interestingly, both groups reported significant and comparable increases in a sense of embodiment, specifically regarding agency and body ownership, thus indicating that the bian’s integration of the tool depends more on the reliability of the human-machine interface than on anatomical mimicry. These results suggest that by moving away from strict biomimicry, designers can leverage the nervous system’s capacity for reinforcement learning to create more flexible, functional, and adaptable prosthetic solutions. 

4. Osseointegration and Skeletal Integration

While neural signals provide the intent, the physical stability of the limb is what allows that intent to be translated into meaningful action. Osseointegration represents a landmark advancement in this regard, moving away from adverse effects and issues of traditional sockets toward a permanent, bone-anchored skeletal attachment.

Traditional socket-based prostheses frequently cause discomfort, skin damage, and limited mobility, often resulting in high rates of device abandonment (Frossard and Lloyd, 2021). In contrast, osseointegrated bionic limbs are directly anchored to the bone, offering significantly improved stability and mobility (Frossard and Lloyd, 2021). This direct connection facilitates “osseoperception”, a form of sensory feedback that allows users to walk more naturally and experience an enhanced sense of embodiment (Frossard and Lloyd, 2021). By providing a stable mechanical foundation, osseointegration overcomes the functional limitations of the soft-tissue interface.

Azocar et al. researched the design, implementation, and clinical testing of the Open Source Leg (OSL), an integrated robotic knee-ankle prosthesis developed to advance research and clinical evaluation of powered lower limb prostheses in real-world environments (Figure 6). While powered prostheses can improve walking speed, stability, and energy efficiency for individuals, progress has been limited by high costs, proprietary designs, and the lack of standardized hardware for testing control strategies. The OSL addresses these challenges by providing a low-cost, portable, customisable, and fully open-source platform (Azocar et al., 2020). The prosthesis integrates high-torque electric motors, low-ratio belt transmissions, embedded sensing, and low-level control software, thus enabling independent operation of the knee and ankle joints (Azocar et al., 2020). A configurable series elastic actuator allows researchers to adjust joint stiffness and study different control options. Extensive benchtop testing demonstrated high bandwidth, accurate position and current control, reliable torque output, and safe thermal performance (Azocar et al., 2020). Clinical testing with 3 individuals with lower limb amputations showed that OSL supports stable ambulation across level ground, ramps, and stairs, using impedance-based control whereby participants achieved kinematics and kinetics comparable to able-bodied walking (Azocar et al., 2020) (Figure 6). By releasing hardware designs, software, and benchmark datasets, the OSL lowers barriers to prosthetic research and enables fair comparison of control strategies, supporting future innovation in bionic limb technology. 

4.1 Bionic Limb Replacement 

Amin (2022) examined the evolving role of bionic limb replacement in the context of lower extremity reconstruction. Advances in lower extremity reconstruction, including microvascular techniques, nerve and tendon transfers, and complex bone reconstruction, have expanded limb salvage options, but outcomes are still often limited by infection, unstable soft tissues, prolonged rehabilitation, chronic pain, and donor site morbidity. When salvage is unsuccessful, amputation with prosthetic fitting remains a common solution; however, conventional prosthetic fitting frequently fails to provide comfortable, efficient, and intuitive function, particularly due to issues with socket fit, increased energy expenditure, and lack of sensory feedback. Emerging bionic limb technologies offer a potential alternative by aiming to restore bidirectional communication between the nervous system and prosthetic devices (Amin, 2022). Approaches such as myoelectric control, targeted muscle reinnervation, and direct neural interfacing through extraneural, intraneural, and regenerative electrodes have demonstrated promise in improving motor control and sensory perception (Amin, 2020). Nevertheless, significant challenges remain, including signal instability, biological compatibility, invasiveness, and long-term reliability (Amin, 2020). Collectively, this body of work suggests that future progress in lower limb reconstruction will increasingly rely on interdisciplinary advances in neural interfaces, robotics, and tissue engineering to develop more functional and intuitive bionic limb replacements. 

4.2 Self-Contained Bidirectional Bionic Limbs

Surgical neural engineering and human-machine interfacing (HMI) have reached a milestone with the development of fully self-contained, bidirectional bionic limbs. A primary challenge in prosthetics is the “HMI paradox” whereby, as amputation levels rise, the complexity of the required prosthesis increases while the number of available biological control signals decreases (Dosen, 2023). To overcome this, a comprehensive HMI pipeline integrates advanced surgical techniques, such as muscle grafts and targeted muscle reinnervation, to create additional signal sources (Ortiz-Catalan et al., 2023). The system implemented by Ortiz – Catalan et al. utilises osseointegration, which is the permanent attachment of the prosthesis to the skeleton via titanium implants. This provides a stable gateway for bidirectional communication. Motor control is achieved through intramuscular and epimysial electrodes that record from native muscles and grafts, while sensory feedback is restored by delivering electrical stimulation to the ulnar nerves via extraneural cuff electrodes (Ortiz-Catalan et al., 2023). Long-term clinical results over three years demonstrate that this approach enables stable, dexterous control of individual digits and provides intuitive tactile sensations (Ortiz-Catalan et al., 2023). By combining skeletal attachment with implanted neural interfaces (Figure 7), this research moves closer to the ideal reality of bionic replacement: a limb that offers effortless, simultaneous control and natural somatosensory feedback, significantly enhancing the user’s daily quality of life.

5. Sensory Feedback and Embodiment

The ultimate success of a bionic limb is often defined by the user’s sense of ownership over the device, referred to as a psychological state known as embodiment. This state is achieved only when the brain receives consistent, multi-modal sensory feedback, such as heat, pressure, and kinesthesia, that aligns with its internal motor expectations. 

5.1 Thermally Sentient Bionic Limbs

Ortiz-Catalan argued for exploring thermal sensation as an added sensory modality in bionic limbs through sensory reinnervation. When nerves from an amputated limb naturally or surgically reinnervate the skin of the residual limb, they create “phantom maps”. By stimulating these specific areas with compact thermoelectric devices, researchers successfully triggered sensations of heat and cold, localised by the brain to the missing upper limb (Ortiz-Catalan, 2024). Moreover, in clinical trials, participants were able to distinguish between different materials, such as copper or glass, and accurately identify the temperature of objects they made contact with while wearing the bionic limb (Ortiz-Catalan, 2024). Unlike electrical nerve stimulation, which often may feel artificial, thermal stimulation of the phantom maps feels natural because it activates biological sensors as intended (Ortiz-Catalan, 2024). However, these maps are often somatopically disorganized or incomplete, though remaining stable for 48 weeks (Ortiz-Catalan, 2024). Therefore, it does still offer a promising avenue for long-term research and daily use. Ultimately, while thermal sensing may enhance the bionic limb user’s sense of “embodiment”, its primary value lies in improving the functional and social capabilities of artificial limbs.

5.2 Bionic E-Skin

Xu et al. (2024)  introduced a self-powered bionic droplet electronic skin (DES), designed to help bionic limbs establish a sense of touch to liquids (Figure 8). Generally, e-skins focus on solid pressure or temperatures, but most fail to perceive the movement of liquids. The proposed e-skin uses the triboelectric effect, meaning it generates its own electricity from the friction created when a water droplet slides across the surface, requiring no external power (Xu et al., 2024). This technological breakthrough is an interlaced electrode network and “overpass” connection design (Xu et al., 2024). This allows the skin to track the precise 2D trajectory, velocity, and acceleration of a droplet without the signal getting “crossed” or blurry. It’s so sensitive that it can even distinguish between different liquids such as tap water, rainwater, and seawater, based on their specific electrical signatures (Xu et al., 2024). Beyond just sensing, researchers demonstrated autonomous regulation similar to human neuromodulation (Xu et al., 2024). For example, when the skin detects a liquid leak, it can identify the direction of the flow and trigger an intelligent closed-loop system to shut a valve and stop the leak (Xu et al., 2024). Moreover, the e-skin is made of flexible, waterproof materials, and the AI allows for navigation and reaction to wet, unpredictable environments like rain or industrial spills as intuitively as a human would (Xu et al., 2024).

6. Patient-Centric Design and Residuum Health 

A sustainable bionic solution must prioritize the long-term health of the residual limb, or residuum, above mere mechanical performance. By utilising predictive tools such as digital twins, clinicians can now proactively manage the health of the patient’s tissue and bone, preventing the complications that historically led to prosthetic abandonment. 

6.1 Advances in Clinical and Prosthetic Care

Frossard et al. (2022) highlighted the necessity of a critical shift in this field of medicine, moving beyond just building better AI to focus on the health of the residuum. Generally, prosthetics fail because of the adverse effects, such as skin issues, pain, and bone loss, caused by the interface between the body and the device. This leads to an increase in limb abandonment. To fix this, researchers are pushing “Bionic 4.0 solutions”: direct skeletal attachment, osseointegration, and advanced neural interfaces such as TMR to get rid of pain caused by sockets and to improve control while reducing phantom pain (Frossard et al., 2022). After surgery, rehab blueprints should be established with examples such as botulinum toxin to stop skin movement around implants and haptic sleeves that give users a sense of touch (Frossard et al., 2022). Furthermore, a healthy residuum is a multifaceted goal whereby the patient’s age, weight, and specific alignment of the prosthetic joint are all key factors, not just the surgery. Consequently, new technology such as the Computer Assisted Limb Assessment (CALA) allows clinicians to objectively map out patients’ phantom pain, thus making it easier to treat (Frossard et al., 2022). Overall, the goal should be to stop oscillation of patients between satisfactory mobility and bedridden pain by threatening the prosthesis and the patient’s biology as a single, connected system.

To address the risks associated with bone-anchored systems, such as infection, implant failure, and fractures, a novel and non-invasive diagnostic approach using a “digital twin” of the residuum was proposed by Frossard and Lloyd (2021). This high-fidelity, physics-based virtual model integrates real-time data from wearable sensors to monitor internal tissue response during prosthetic use (Frossard and Lloyd, 2021). By visualising stresses and movements within the limb, clinicians and patients can better manage loading patterns and reduce injury risk (Figure 8). This transformative step toward intelligent bionic limbs supports personalized rehabilitation and improves long-term patient safety. 

7. Clinical Translation Challenges and Barriers

While laboratory milestones of the past decade are impressive, the transition from an experimental prototype to a standard-of-care medical device remains the most significant hurdle in prosthetic medicine. Evaluating bionic systems through a lens of translation-readiness reveals that high-performance metrics in a controlled setting do not always correlate with daily clinical utility. It is important to recognise that an ideal device in a lab may still fail in the real world if the surrounding infrastructure is not ready. 

7.1 Technical Barriers: Reliability and Biotic-Abiotic Integration

The first layer of obstruction involves the physical and electrical longevity of the system. For a bionic limb to be truly translation-ready, it must move beyond “benchtop” success and demonstrate resilience against the unpredictability of human life. Biocompatibility remains a major concern; even the most advanced electrodes face the risk of signal instability and decay over time as the body’s foreign-body response encapsulates sensors in fibrous tissue (Amin, 2022). Furthermore, achieving a truly permanent solution requires overcoming the risks of chronic infection at the percutaneous interface, which is a significant hurdle for the long-term reliability of fully implantable systems (Bumbaširević, 2020). Additionally, maintaining stable closed-loop control is technically taxing outside of controlled laboratory environments, where external interference and extraneous variables may disrupt the delicate neural signals required for intuitive motor execution. 

7.2 Clinical Organisation Barriers: The Infrastructure of Care

Advanced surgical interventions such as TMR or AMI require interdisciplinary teams that many regional clinics cannot support, leading to a disconnect between technological potential and actual clinical integration (Frossard et al., 2022). This disconnect is exacerbated by a reimbursement paradox: national health services and insurance providers are frequently hesitant to cover the high upfront costs of bionic limbs without longitudinal data proving they significantly reduce long-term secondary healthcare expenditures, such as caregiver reliance or mental health intervention. Without standardised clinical training and clear financial pathways, these innovations risk remaining research papers rather than becoming accessible medical standards. 

7.3 Ethical and Equity Considerations: Democratising Innovation  

Many current innovations are hindered by proprietary designs and “closed” software ecosystems that prevent interoperability between different manufacturers. This underscores a desperate need for standardised platforms that could lower production costs and facilitate broader distribution (Azocar et al., 2020).It also raises a critical question of equity, whereby if bionic limbs are only accessible to a small cohort of patients with premium insurance or specific military status, the field may inadvertently widen existing health disparities. An ethical transition toward “translation-readiness” must involve a shift from high-cost, exclusive prototypes toward inclusive, robust, and globally accessible bionic solutions.

8. Future Directions

While the preceding sections have outlined the state of the art and the barriers to implementation, the path forward requires a transition from demonstrating feasibility to ensuring longitudinal reliability. The next generation of research must prioritise the convergence of artificial intelligence, materials science, and standardised clinical protocols to transform bionic limbs from laboratory prototypes into lifelong biological extensions. 

8.1 Technical Future: Intelligence and Sensation:

The technical evolution of bionics will likely focus on the development of more robust, long-term neural interfaces. Current evidence suggests a critical need for long-term human data to validate the stability of bidirectional communication over decades (Cho et al., 2023). Furthermore, the integration of ‘Reinforcement Learning’ (RL) must move beyond virtual simulations into real world settings, allowing devices to adapt dynamically to a user’s unique environment (Freitag et. al, 2026)Beyond motor control, the future lies in multi-modal feedback, incorporating thermally sentient capabilities and bionic e-skins to provide a nuanced sense of touch, temperature, and pressure (Ortiz-Catalan, 2024).

8.2 Clinical Future: Trials and Long-Term Outcomes

The clinical trajectory must shift toward larger trials and standardised long-term outcome measures. To ensure patient safety, future research should integrate residuum-centered protocols that monitor the health of the host tissue alongside device performance (Amin, 2022).This involves moving toward fully implantable systems that minimise the risk of infection while maximising signal fidelity.

8.3 Design and Policy Future: Equity and Standardisation 

From a policy perspective, the field must address the “siloing” of technology. Moving away from proprietary designs toward standardised, adaptable platforms is essential for lowering costs and ensuring equitable access (Azocar et al., 2020). Future regulatory pathways must be streamlined to accelerate the transition from the “bench to the bedside”, ensuring that breakthroughs in the lab actually reach the diverse global population of limb loss patients.

8.4 Core Strategic Objectives:

• Small Learning Curves:

Future prosthetic design must prioritise intuitive control to minimise the cognitive burden on the patient. By aligning the device’s behaviour with the brain’s existing internal motor models, researchers can ensure that users do not require months of intensive training, making the technology accessible to a wider demographic regardless of technical proficiency.

• Simple Procedures for Insurance Coverage:

Clinical translation depends on moving toward surgical techniques that are standardised enough for general hospitals to perform. By simplifying the implementation of interfaces like TMR or AMI, the procedure becomes more “reimbursable” by insurance, shifting advanced bionics from an experimental luxury to a standard, covered medical necessity for all patients.

• Clinical Translation Focus:

The field must move away from “technological push” models toward a “clinical pull” strategy. This means prioritising the practical needs of the patient, such as the device weight, battery life, and skin comfort, over adding high-tech features that have little impact on daily quality of life or long-term functional independence in home environments. 

• Integration of AI (System Thinking):

Rather than using AI for isolated tasks, future systems must adopt “system thinking” AI. This allows the limb to simultaneously manage motor intent, sensory feedback, and environmental adaptation. Instead of a one-size-fits-all functional design, AI will personalise the device’s response in real time, matching the specific physiological signatures of each individual user.

• Approval and Acceleration of Clinical Trials:

The primary bottleneck is no longer the technology itself, but the speed of regulatory approval. Accelerating the transition to large-scale clinical trials is the key to proving long-term safety and efficacy. Without these trials, even the most revolutionary designs will remain stuck in a “proof of concept” phase without reaching the public.

• Integration of Digital Twins:

 Digital twins allow researchers to design and test prosthetics in a high-fidelity virtual environment before any surgery occurs. By simulating the interaction between the device and the patient’s unique bone and tissue structure, clinicians can perfect the design, predict potential failures, and minimise the risks of post-operative complications or revisions.

9. Conclusion

The evolution of bionic limb technology represents one of the most ambitious frontiers in modern medical engineering. As this review has demonstrated, the field has successfully moved beyond simple mechanical substitution toward a sophisticated model of neural and skeletal integration. However, the true measure of success for these innovations is not found in laboratory benchmarks or peak performance metrics, but in their capacity for meaningful clinical translation. For a bionic system to be effective, its design must be clinically driven, thus originating from the actual physiological and psychological needs of the patient rather than being a product of technological push, where features are added simply because they are technically possible.

The trajectory of a successful bionic innovation must follow a clear path: from the research bench, where fundamental science is born, to the clinical bedside, where the technology is safely and intuitively integrated into a patient’s life; and finally to the boardroom, where standardised manufacturing and insurance reimbursement models ensure the device is economically viable and globally accessible. By prioritising “system thinking” through AI and digital twins, and by lowering the cognitive and financial barriers to entry, the field can ensure that bionic restoration is no longer an experimental luxury/ Ultimately, the goal is to transform these devices into seamless biological extensions, restoring not just function, but a genuine sense of embodiment and independence to those living with limb loss. 

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About the author

Sharanya Seth

Sharanya Seth is a Grade 11 student at United World College South East Asia in Singapore with a strong interest in medicine, particularly in surgical fields such as Obstetrics and Gynaecology and Plastic Surgery. She has gained early clinical exposure through internships in both Singapore and India, where she observed procedures including hysterectomies and fertility treatments, and assisted with patient interactions in a general practice setting. These experiences provided her with insight into clinical environments, patient care, and the doctor-patient relationship.

Sharanya is actively engaged in scientific research, having submitted a CREST Award project investigating the inhibitory effects of natural disinfectants such as turmeric and garlic on E. coli growth. She is currently conducting an Extended Essay exploring glucose diffusion and its relevance to diabetes, further developing her ability to apply scientific principles to real-world medical challenges.

In addition to her academic pursuits, she leads a service initiative supporting individuals with intellectual disabilities, where she organises cognitively stimulating activities to promote engagement and social interaction, as well as fosters an environment of respect and inclusivity. She also volunteers regularly at the National Kidney Foundation in Singapore, where she helps in the Dialysis Centre and Enrichment sector with patients. She has been recognised on the High Honour Roll award for three consecutive years and has achieved distinction in piano examinations, along with athletic awards.

The post Clinical Translation of Bionic Limbs: Neural Interfaces, Osseointegration, and Patient‑Centric Design appeared first on Exploratio Journal.

Abstract

This paper explores the complex relationship between tariffs on Gross Domestic Product (GDP) and the U.S. trade balances with its major trading partners. It investigates if imports and greater trade balances changed between the U.S and its top trading partners after tariffs were placed. The conclusion is no significant change in trade balances since the implementation of the Trump administration’s tariffs.

The evidence shows that in the months of April to July, the tariffs have not significantly changed U.S. net trade. The effects studied in this paper are a result of new trade policies by the Trump Administration which put retaliatory tariffs on most of the world. As a result, many firms and businesses frontloaded the tariffs which caused a 40% increase in imports in Q1 2025. Also in Q1, real GDP decreased by 0.5% (U.S. Bureau of Economic Analysis, 2025) according to the most recent estimate. However, imports do not reduce GDP and are only included in the calculation to support accounting principles. As a result of this misconception, many news articles written by journalists who are not economists have had misleading claims with regards to the GDP decrease. The current results of the findings could potentially be attributed to the uncertainty in the administration’s tariff policy or simply that not enough time has passed for significant changes to be observable in the data.

Introduction & Literature Review

The role of imports in shaping a nation’s economy has become increasingly significant following President Trump’s trade wars and tariffs on countries across the world. Many of these tariffs were put during the first quarter of 2025 while the others were placed on April 2, 2025, also known as Liberation Day. However, news of President Trump’s intention of using tariffs has been clear before his Inauguration and use of tariffs on foreign countries was common in his first term as well. Since his election, many businesses and firms have increased inventories and the amount of imported goods in anticipation of high tariff rates to go into effect soon.

As noted above, the heart of GDP measurement is the widely cited expenditure formula: GDP = C + I + G + (X-M) where C denotes consumption, I investment, G government expenditures, X exports, and M imports. The superficial glance at this equation shows imports as a direct drag on GDP. However, economists consistently clarify that this superficial glance is quite misleading as the negative sign simply represents an accounting principle to prevent double counting.

Bill Conerly (2025), a writer at Forbes, clarifies that “U.S. imports are neither added nor subtracted conceptually” (para. 3) for GDP. He explains that with perfect data available to statisticians, imports wouldn’t be included in a GDP calculation (Conerly, 2025).

Looking at the subtraction, Greg Mankiw notes, “this subtraction is made because imports of goods and services are included in other components of GDP,” (Mankiw, 2001, p. 499) Mankiw also notes how a purchase of an imported good raises consumption, investment or government expenditures.

The St. Louis Fed adds that “imports (foreign production) should have no impact on GDP,”(Wolla, 2018, para. 9). They explain the variable M as an accounting variable rather than an expenditure variable. It is also important to note that the imported goods will have an effect on the GDP of the country that produces them. Since it isn’t the United States, they don’t affect U.S. GDP. However, it can take into account if the goods are intermediate or partially produced in the U.S. Since the expenditure variables of C, I, and G only take final goods into account, GDP will be affected based on the amount of the goods that was domestically produced.

Keshav Srikant, a writer with Econofact, supports the net-zero effect on imports on GDP. However, he also notes how imports can potentially indirectly reduce GDP if they replace domestic consumption or if domestic government expenditures are reduced as a result of higher purchases of foreign goods (Srikant 2025). Further study of macroeconomic trends are required to make an argument for this situation as these latent variables could drive import growth and GDP declines when those two variables are not correlated.

Ultimately, imports do not directly reduce GDP and their inclusion in the components of GDP is a measure to prevent double counting.

There are many researchers who have explored the growth of imports and its, relationship with the overall economy. In fact, many specific case studies have found that an increase in imports often leads to an increase in real GDP .

A study by Peter Saunders, focused on a time series analysis of the role of imports in the economic rise of India from 1970 to 2005, analyzes the long term relationship between imports and India’s real GDP. Saunders establishes that both variables, imports and real GDP, are cointegrated using Johansen’s test of cointegration (Saunders 2010). This test proves if two variables have a long term equilibrium relationship, meaning that despite short term deviations or outliers, the variables have a long term observed relationship. A Vector Error Correction Model (VECM) examines the relationship between cointegrated variables. In the VECM used by Saunders, the results indicated that imports have positively impacted India’s economic growth in the short-term. Saunders highlights how this result defies traditional expectations that imports could be a drag on the economy (Saunders 2010).

In another study by M.Y Khan et al, about the relationship between imports and economic growth in Pakistan, a similar conclusion was reached. This study used data from 1975 to 2014 with the methodology of a Granger Causality Test. This test focuses on proving directional relationships between time series variables. The results showed that there was a bi-directional relationship between imports and economic growth in Pakistan, meaning that both time series variables mutually supported one another (Khan et al, 2019).

Research focusing on the relationship Rwandan economic growth with imports and exports showed a positive long run relationship (Al Hemzawi & Umutoni 2021) . The study concluded that a one percent increase in imports led to a 0.32% rise in Rwandan GDP. To get that correlation, the authors used a multivariate Ordinary Least Squares regression which is a way to minimize variance between variables. They also used quarterly time series data in the regression.

Immediately after the Q1 GDP contraction was announced, many news publications released misleading or false articles regarding the cause behind this result. They accredited the cause to be the tariff jumping effect and the dramatic import surge that occurred because firms and businesses rushed to purchase foreign goods before tariff prices were assigned to goods. The underlying demand was quite consistent to previous levels while business investment surged as an offset to the imports. Despite the fact that imports do not directly reduce GDP, news outlets continued to push that narrative.

For example, an AP News article stated “First-quarter growth was weighed down by a surge of imports, ” (Wiseman 2025, para. 2) while The Hill said “GDP shrank in the first quarter mostly because of lower consumer spending and a pull-forward in imports ahead of President Trump’s tariffs, ” (Burns 2025,para. 4). Many other outlets made misleading claims regarding the import surge. Although journalistic misconceptions are not uncommon, even the Federal Open Market Committee has made mistakes with regards to the effect of imports on GDP (Lemieux 2018).

On the other hand, many top economists have had different opinions. Many economists have attributed the contraction to the economic activity as a result of the imports, not by the imports directly. For example, Paul Gruenwald, a global chief economist for S&P Global Ratings, mentioned that Q1 GDP data was “distorted by the front-running of tariffs,” (2025). Gregory Daco, a chief economist at EY , added “the contraction was largely a function of economic activity being pulled forward as importers, business, and consumers rushed to get ahead of tariff implementation,” (2025). Economist Preston Caldwell ofMorningstar added that imported goods could be stored in inventories but “it just didn’t show up in the data because of measurement error,” (2025).

Some top economists also challenged the fear that this GDP result was the first domino in a potential recession. Caldwell added that this result “doesn’t mark the beginning of a recession,” (2025). Others mentioned potential for economic uncertainty further down the line as more policy was unveiled. “Demand in the first quarter looks to be driven by businesses battening down the hatches before the storm,” Chief economist Luke Tiley of the Wilmington Trust said (2025).

One potential explanation for the GDP decrease is a phenomenon called the substitution effect, a phenomenon that suggests that the tariff induced frontloading substituted for domestic purchases. If this is the case, GDP would decrease since less money would be spent toward domestic production. This has been prevalent in the past as well.

In the 1990s, the Northern American Free Trade Agreement (NAFTA) contemplated potential tariff reductions. 96% such reductions were announced far in advance, giving consumers and firms the chance to act on this information ( Khan & Khederlarian 2021). A study found that in anticipation of an upcoming tariff reduction of 1%, imports dropped by a sizable 6% in the months before the tariff implementation when compared to regular months. The study used an Herfindahl-Hirschman Index, a method to measure market concentration, and applied it to the spread of imports. Their final result articulated that firms shift their purchases to periods when lower costs can be attainable and that these anticipatory dynamics are true (Khan & Khederlarian 2021).

A potential alternate explanation is that the small decrease in government expenditures was the key factor in the GDP decrease.

There are some potential gaps in data which limit the study of GDP accounting. For example, these accounting principles say nothing about potential causality with latent variables or economic impacts. There is also difficulty in GDP data collections since it can be difficult to only count final goods. Finally, GDP data could be fixed-weighted calculations that can add error as the economy changes and price structures evolve. However, when calculated in a chain-weighted approach to account for economic evolution, there are still struggles with new goods being added.

Methodology

This analysis uses monthly trade data and monthly effective tariff rates for the United States with its largest trading partners. It also uses the same data for the European Union to use as a control. The source for monthly trade data values were the U.S. Census Bureau and Eurostat. The effective tariff rate values were gathered from trusted sources and reflect prior US tariffs and changes as newer tariffs went into effect. This analysis employs a linear regression test with net trade balances and effective tariff rates to analyze the potential correlation between the two.

Results

The data shows a minimal negative relationship between tariff rate and change in trade balances. This means that since the tariffs went into effect, there hasn’t been a significant increase or decrease in U.S. trade balances with main trading partners. The correlation coefficient was 0.0806 which confirms that in the three months since the tariffs went into effect, there weren’t any significant changes in trade balances that were caused by the changes in effective tariff rates. The coefficient of determination is 0.0065, or approximately 0, which meant that any changes that did occur in trade balances were not from the changes in effective tariff rates. Finally, the t-score value equals 0.0977 and indicates that the observed result aligns with the null hypothesis and the difference between the sample data and the population data is not statistically significant.

Discussion

Ultimately, the analysis proves that there is no correlation between the vast increases in effective tariff rates and changes in net trade balances. By contrast, as shown in Table 2, the U.S. trade deficits actually became larger for some countries such as Vietnam or the United Kingdom despite increases in effective tariff rates. Other countries such as China or Italy faced similar decreases in trade deficits despite having large differences in net trade and change in effective tariff rates. Furthermore, some countries were levied with larger tariffs than others, making predicting the change in trade balances harder to anticipate.

A potential explanation for the results of the analysis is the extreme volatility in tariff policy during the study period. Following the implementation of the “Liberation Day” reciprocal tariffs in early April, several countries experienced rapid and significant changes in their tariff rates. For example, China briefly faced tariff levels exceeding 140%, while Brazil was subjected to a 50% tariff following political disputes with the U.S. administration. In addition to these enacted measures, frequent public threats of new tariffs introduced further uncertainty into global trade markets. Simultaneously, reports of partial or full trade agreements with major partners like the EU, China, Japan, and South Korea, led to subsequent reductions in effective tariff rates. This pattern of escalation followed by negotiated de-escalation likely diluted the measurable macroeconomic impact of tariffs, complicating attempts to identify stable relationships between tariff levels and trade or GDP outcomes.

Another potential reason can be shown through the pressures of the markets. Financial Times commentator Robert Armstrong coined the current administration’s trade policies as “TACO Trade”. The acronym refers to some of the administration’s sudden reversals of tariffs. Armstrong coined the term when describing the pattern of placing large tariffs on countries which led to economic panic, shock, and stock market hits. He then explained how later reversals of these tariff policies have led to market comebacks. Additionally, the market uncertainty can be explained as how stocks look like they are trending upward and then stop due to a social media post or claim by the government. It’s possible that many firms and businesses believed that the tariff rate changes wouldn’t be in place long term and thus, no changes were found in the U.S. trade balances.

Implications for Policy and Future Research

Investigating the nuanced economic effects on GDP is key for future policy regarding tariff measures and potential trade deals. As occurred in Q1, there are potential short term distortions in GDP measurement so it’s important to keep these in mind. An area for future research is on the study of tariffs-driven import behavior and with the substitution effect’s prominence in the short and long term. This would provide key insights into how firms react to the government policy and how both parties can better facilitate economic policy.Finally, it’s important to continue to analyze changes in trade balances to see if significant changes will be present with the passing of time and more recent data.

Works Cited

Al Hemzawi, B., & Umutoni, N. (2021). Impact of Exports and Imports on the Economic Growth. MSc. Thesis, Jönköping University. Buckling up for a long ride: chief economists add detail to a downbeat outlook. (2025, May 28). World Economic Forum. https://www.weforum.org/stories/2025/05/wef-chief-economists-uncertainty-global-outlook

Burns, T. (2025, June 26). US economy shrank faster than expected, new data shows. The Hill. https://thehill.com/business/5371005-us-gdp-revised-lower-consumer-spending

Conerly, B. (2025, March 11). Understanding GDP: Why Imports Don’t Actually Reduce Economic Growth. Forbes.https://www.forbes.com/sites/billconerly/2025/03/11/understanding-gdp-why-imports-dont-actually-reduce-economic-growth/

Daco, G. (2025, May). LinkedIn. https://www.linkedin.com/posts/gregorydaco_inflation-fed-fomc-activity-7323335677599793152-c–l/

Freund, C., Pierola, M. D., & Rocha, N. (2021). How Does Trade Respond to Anticipated Tariff Changes? Evidence from NAFTA (Policy Research Working Paper No. 9561). World Bank. Gross Domestic Product, 1st Quarter 2025 (Third Estimate) | U.S. (2025, June 25). Bureau of Economic Analysis. https://www.bea.gov/news/2025/gross-domestic-product-1st-quarter-2025-third-estimate-gdp-industry-and-corporate-profits

Khan, M. Y ., Akhtar, S., & Riaz, S. (2019). Dynamic Relationship Between Imports and Economic Growth in Pakistan. Journal of Economics and Sustainable Development, 10(10), 70–77.

Lemieux, P. (2018, September 6). The St. Louis Fed on Imports and GDP. Econlib. https://www.econlib.org/imports-as-a-drag-on-the-economy/

Mankiw, N. G. (2001). Principles of Economics. Harcourt College Publishers.

Saunders, P.J. (2010). A Time Series Analysis of the Role of Imports in India’s Phenomenal Economic Growth. Indian Journal of Economics and Business, 91, 101-109.

Schonberger, J. (2025, April 30). Shrinking GDP and elevated inflation put Fed in tough spot. Yahoo Finance. https://finance.yahoo.com/news/shrinking-gdp-and-elevated-inflation-put-fed-in-tough-spot-142211609.html

Sekara, D., Dzuibinski, S., & Caldwell, P. (2025, July 16). Morningstar’s Q3 2025 US Market Outlook: Has the Storm Passed, or Are We in the Eye of a Hurricane? Morningstar. https://www.morningstar.com/markets/morningstars-q3-2025-us-market-outlook-has-storm-passed-or-are-we-eye-hurricane

Srikant, K. (2025, May 14). Fact Check: Does an increase in imports directly reduce GDP? Econofact.https://econofact.org/factbrief/fact-check-does-an-increase-in-imports-directly-reduce-gdp

Wiseman, P., & Rugaber, C. (2025, April 29). U.S. economy shrinks 0.3% in first quarter as Trump tradewars disrupt businesses. AP News.https://www.ap.org/news-highlights/spotlights/2025/u-s-economy-shrinks-0-3-in-first-quarter-as-trump-trade-wars-disrupt-businesses/

Wolla, S. A. (2018, September 4). How Do Imports Affect GDP? | St. Louis Fed . Federal Reserve Bank of St. Louis. https://www.stlouisfed.org/publications/page-one-economics/2018/09/04/how-do-imports-affect-gdp

About the author

Ishaan Bafna

Ishaan Bafna is a 12th grade student at Kingswood Oxford School with strong academic and research interests in economics and mathematics. Ishaan actively pursues opportunities that integrates analytical thinking with critical reasoning and problem-solving. Known for his intellectual curiosity and work ethic, Ishaan wishes to pursue a career at the intersection of economics, mathematics and technology.

Outside of the classroom, Ishaan is a leader of his schools Math Team and Mock Trial Team, a lead peer tutor, and a varsity golf athlete. Ishaan has interned with The Hartford Insurance as a Lean Portfolio Management Intern. He is also a National Merit Commended Scholar and a recipient of various awards at his school.

The post The macroeconomic effects of tariffs on GDP and trade balances, through the lens of Q1 2025 GDP change appeared first on Exploratio Journal.

Abstract

This paper aims to address how second chances within duty and redemption tie together in the context of medieval knighthood and honor in the poem Sir Gawain and the Green Knight. The poem Sir Gawain and the Green Knight is a poem about second chances and redemption, telling the moral that while mistakes are inevitable, second chances allow individuals to achieve redemption in their duty. Through critical analysis of Sir Gawain and the Green Knight and the character Gawain the Glorious, Gawain’s character is shown to be one who constantly makes mistakes throughout his journeys. Gawain is offered second chances through the form of Lord Bertelak’s game, where his honesty is tested as a knight. Even when Gawain inevitably fails, he is offered partial redemption in the form of a nick he receives on his neck from the Green Knight. This portrayal is significant of a character seen as a model knight. The message in Sir Gawain and the Green Knight uses a previously glorified Gawain to send the message that, despite the expectation of perfection within duty, continuous redemption and improvement through second chances from past mistakes is honest to one’s duty.

In a profession as prized as medieval knighthood, the concept of life, duty, mistakes, and how they interconnect has been a long-debated concept. The relationship between one’s life and one’s duty has been a long-standing question that has been challenged since the beginning of literature. A significant example of this is the famous poem Sir Gawain and the Green Knight, written during the late 14th century, where the relationship between duty and life is explored through the character Gawain, a knight of King Arthur.

Throughout the entirety of Sir Gawain and the Green Knight, Gawain’s role as a regarded knight is continuously tested throughout his adventures. As a knight of King Arthur, he is prized within Camelot. Further, he is a relative of King Arthur himself and is portrayed as a model knight (Jobe). However, within the poem and Gawain’s journey, his mistakes in his duty are ultimately what lead him to survive and redeem himself to live up to his prized identity. Throughout the poem, multiple factors like Sir Gawain’s identity as a knight, the antagonist Green Knight, and Lord Bertalak’s game rest on the underlying themes of second chances and mistakes. Sir Gawain and the Green Knight is a poem about redemption within duty. While mistakes within duty are inevitably made, second chances still frequently present themselves to give opportunities to redeem oneself in their duty while also holding consideration of their life.

The first instance of a mistake leading to a second chance is in the opening scene in Camelot during the feasts of Yule. When the Green Knight approaches the court with a challenge, not a single knight rises to meet him, despite chivalry and bravery being included in a knight’s honor code. This includes Gawain. It is only when Arthur is forced to arise and almost meets the Green Knight’s challenge that Gawain stands up and takes his challenge:

“Gawain bv Guenevere

Toward the king doth now incline:

‘I beseech, before all here,

That this melee may be mine.”

…

“I am the weakest, well I know, and of wit feeblest;

And the loss of my life would be least of any;

That I have you for uncle is my only praise;

My body, but for your blood, is barren of \mrth;

And for that this folly befits not a king,

And ’tis I that have asked it, it ought to be mine,

And if my claim be not comely let all this court judge,

in sight.” (ll. 338-361, Borroff)

In this scene, Gawain stands up and declares, “I beseech before all here that this melee may be mine…if my claim be not comely let all this court judge in sight.” Not only does Gawain claim responsibility as the player in the Green Knight’s game in front of the court, but he also asks the entire court to hold him responsible for his word, which shows he’s committed to seeing the challenge through. Further, in his words against himself, “I am the weakest…and wit feeblest…the loss of my life would be least of any…” In this, he acknowledges his imperfections as a knight and his willingness to sacrifice himself for the court and King Arthur, something that nobody else had stood up for. Despite Gawain’s delayed acceptance of the Green Knight’s challenge, a lapse in his duty to be brave and chivalrous, he swiftly makes it up by taking up and committing to the responsibility of the Green Knight’s challenge from King Arthur’s hands. This shows redemption in his duty and the rest of the court of being an honorable knight despite his initial mistake because he stood up despite nobody else doing so.

Gawain’s next mistake is shortly after his redemption when he takes the responsibility of the Green Knight’s challenge. In his game with the Green Knight, where they exchange a blow for a blow with the Green Knight’s axe, Gawain deliberately makes his cut a fatal one. He was prompted by King Arthur to be intelligent about his blow, as well as tempted by the Green Knight with the outcome of a fatal blow. The Green Knight says: “and if I spend no speech, you shall speed the better: You can feast with your friends, nor further trace” (ll. 409-410). The Green Knight’s words are deliberately tempting — he brings up Gawain’s friends as well as the possibility of him feasting, if he didn’t have to receive a cut in return. Gawain falls for the bait, and by attempting to make it so the Green Knight would not be able to give him a blow back in return, he does not follow the traits of a medieval knight. It does not display bravery or justice to try to slip out of a game Gawain volunteered for, more especially after his poignant declarations to the entire court of his willingness to lose his life. However, the Green Knight survives, and Gawain is also expected to receive the same blow in return as per the rules of the Green Knight’s game. Thus, despite Gawain’s attempts to go through a loophole in the Green Knight’s game being a mistake, it prompts the rest of the journeys, and, at the time for Gawain, unknown second chances for him to redeem himself as a knight as well as his life. This is also explored in Georges Gusdorf’s “The Game of Chance: Moral Ambiguity in Sir Gawain and the Green Knight.” The loophole reflects a larger ethical ambiguity, as Gawain effectively trades his honor as a knight for a better chance to keep his life. Both preservation of life and duty are important values in Sir Gawain and the Green Knight, and the loophole that Gawain utilizes shows the complexity that accompanies abiding by both duty and life (Gusdorf). The poem later reflects:

Now take care, Sir Gawain,

That your courage wax not cold

When you must turn again

To your enterprise foretold. (ll. 487-490, Borroff)

In this scene, the speaker directly addresses Gawain with a declaration that he needs to be courageous in the future. This reads similar to a warning that Gawain has journeys ahead of him that require his courage as a knight, the very thing the game was testing and relying on. It serves as an acknowledgment that Gawain’s future journey is not so simple, because if the journey was just him receiving the cut, he would not need to ensure that his “courage wax not cold.” Further in the story after the year has passed and Gawain’s expected meeting with the Green Knight approaches, he reflects on his future journey.

“There was much secret sorrow suffered that day

That one so good as Gawain must go in such wise

To bear a bitter blow, and his bright sword

lay by.

He said, “Why should I tarry?”

And smiled with tranquil eye;

“In destinies sad or merry,

True men can but try.” (ll. 558-565, Borroff)

This scene gives the reader some insight into Gawain’s emotions and thoughts regarding his journey and his perceived imminent death. He rhetorically asks himself why he should delay his presumed imminent death, then follows it up by saying “True men can but try” when faced with destiny. While it isn’t clear exactly what Gawain is referring to, based on his future destiny to die, and his pondering over why he should delay the inevitable, it can be assumed Gawain is referring to living past his destiny of death. This shows that despite his acceptance of his imminent death, there is still a part of him that wishes to try and live and redeem himself to be a “true man” who would try and live. This offers the reader some insight on the complexities of Gawain’s current emotions, showing that he feels “tranquil.” Despite his duty as a knight and his expected sacrifice, there is still a part of him that wishes to live and have a second chance at life — something that Gawain says a “true man” would do. This implies that Gawain feels that, to be true to himself, he must also try to live. This displays Gawain’s uncertainty in his future journey despite it being something he is bound by duty to since he took up the Green Knight’s challenge, along with consideration of his own life and his hesitancy about death. However, it also shows a development in Gawain’s attitude toward life and duty, as he also considers the preservation of his life despite an imminent death. This is also explored in Marjorie Nicolson’s “Second Chances and Self-Knowledge in Sir Gawain and the Green Knight.” Gawain’s consideration of his imminent death as a result of a mistake shows a sense of maturity, as he still opts to try as a “true man” would, displaying adherence to staying true to his duty despite his situation. Despite his past mistakes, he resolves to move forward with consideration of his duty (Nicolson). Later, when on his journey, he faces a near-death predicament before his duty is fulfilled. The poem reads:

Thus in peril and pain and predicaments dire

He rides across country till Christmas Eve, our knight.

And at that holy tide

He prays with all his might

That Mary may be his guide

Till a dwelling comes in sight. (ll. 733-739, Borroff)

This scene is another example of a second chance at living appearing for Gawain. After trekking to the point where he was on death’s door, he prayed with vigor for a chance to get guided to his destination. His prayers were answered, and soon after, he discovered Lord Bertilak’s court. It’s important that Gawain was on death’s door and was specifically given a second chance because it tells us that not only does he want to live to fulfill his duty, but he was also offered a second chance to do so through his well-timed discovery of Lord Bertilak’s court. This is once again another second chance for Gawain, but also specifically in the context of his necessity to survive to fulfill his duty, providing Gawain an opportunity to fulfill his duty despite his past mistakes when hesitating to take up the Green Knight’s challenge. However, it’s also important to consider whether or not Gawain’s second chance in this case was divine intervention from his prayer to Mary, or a second chance he redeemed from his own actions. But despite the way his life was saved being uncertain, Gawain was still presented with a second chance — whether it was one he seized from his own redemption or one he prayed for, representing a second chance nonetheless. These instances of second chances and Gawain’s uncertainty about his duty and life show the complexities the poem portrays about second chances in duty. The structure of the poem also reflects these repeated trials where Gawain faces second chances, as also analysed in Derek Pearsall’s “The Structure of Sir Gawain and the Green Knight.” The four fit structure shows a section where Gawain is tested once again to face a choice he must make, until finally, in the fourth fit, he’s set to face all of his previous choices and ultimately given a second chance to live, reflecting the structural support of each second chance. (Pearsall)

The next second chance that Gawain takes is when he arrives at the Lord’s court, in the third fit. When initially meeting the Lord, the Lord proposes a game of exchange to Gawain. The poem reads:

“And Gawain,” said the good host, “agree now to this:

Whatever I win in the woods I will give you at eve,

And all you have earned, you must offer to me;

Swear now, sweet friend, to swap as I say,

Whether hands in the end be empty or better.

“By God,” said Sir Gawain. “I grant it fortwith!

If you find the game good, I shall gladly take part.” (ll. 1105 – 1110, Borroff)

This shows the Lord’s offer of a second chance, despite Gawain’s initial ignorance of the true nature of the Lord’s game. However, the Lord’s game adds complexity because it depends on one Gawain’s duty as a knight, which a lack of brought him to his death — he needs to be honest to the Lord. This is a second chance to redeem his duty to better himself from his initial mistake that led Gawain to what he perceived as his imminent death. Gawain, however, successfully engages in the exchange of winnings, taking this second chance for his life and utilizing it. The only exception in this game was the last day, when he did not give the Lord the girdle out of the desire to save his life. The girdle’s role in the games is also significant. In Jane H.M Taylor’s “The Girdle and Its Meaning in Sir Gawain and the Green Knight”, the girdle is shown to be a badge of humility, stemming from a desire to live, but eventually evolves into a partial redemption after Gawain’s mistakes and through his second chances (Taylor). Gawain’s intentions with the girdle and its representation, and Gawain’s honesty regarding the Lord’s game is an interesting juxtaposition between Gawain’s honesty and his mistakes — while he was honest and redeemed himself in his duty by being honest, the mistake he made when he was dishonest stemmed from Gawain’s desire to live. On the third day of the exchange of winnings, when Gawain is considering lying to save his life, the poem reads:

When he gains the Green Chapel to get his reward:

Could he escape unscathed, the scheme were noble!

Then he bore with her words and withstood them no more,

And she repeated her petition and pleaded anew,

And he granted it, and gladly she gave him the belt,

And besought him for her sake to conceal it well. (ll. 1857 – 1862, Borroff)

In this next passage, we can see Gawain deliberately trying to be dishonest and “conceal” what would keep him alive. While the action of Gawain preserving his life is arguably ingrained in human nature, his dishonesty still is not representative of the values that a knight upholds — a mistake in the context of his duty. This mistake is later revisited when Gawain faces the consequences of the Lord’s game. When Gawain came to the Green Chapel to face the Green Knight, who was revealed to be the Lord, he was told he would receive one hit with the axe due to lying on the third day of the Lord’s game. While receiving the stroke, however, Gawain flinches and is criticized by the Green Knight. The poem reads:

“Bestow but one stroke, and I shall stand still,”…

And his [Gawain’s] shoulders shrank a little from the sharp iron.

Abruptly the brawny man breaks off the stroke,

And then reproved with proud words that prince among knights.

“You are not Gawain the glorious,” the green man said,

“That never fell back on field in the face of the foe,

And now you flee for fear, and have felt no harm:

Such news of that knight I never heard yet!

I moved not a muscle when you made to strike” (ll. 2267 – 2274, Borroff)

This passage shows the Green Knight is directly criticizing Gawain’s bravery and courage, which is part of his duty. He denies Gawain being himself, stating that Gawain is “not Gawain the glorious” who had “never fell back on the field in the face of foe.” This is significant, as the Green Knight denying Gawain being himself and “glorious” is him denying Gawain being a good knight who never feared “in the face of foe.” The Green Knight also criticizes Gawain for being a coward, saying “now you [Gawain] flee for fear.” Here, the Green Knight is denying Gawain’s knightly qualities, essentially saying by flinching, he hasn’t been a good knight. This is especially significant considering the honor accompanying medieval knighthood, as explored by Derek Brewer’s “The Ethics of Honor in Medieval Knighthood.” The honor and duty that accompany medieval knighthood were broken by Gawain’s fear of death, as Gawain’s frailty in the face of death highlights his imperfections as a knight. (Brewer) Further, Gawain also does make a mistake prior to his action of flinching because he lies about being still but flinches anyway, saying “I shall stand still” and yet “his shoulders shrank a little from the sharp iron,” representing him making a claim of being brave and not holding himself to it — a mistake in his duty to be brave as a knight. The Green Knight feigns a second hit, in which Gawain doesn’t flinch, and on his third hit, he does not behead Gawain — only nicks him. The Green Knight explains his intentions of the hit, saying:

“I owed you a hit and

you have it; be happy therewith!

The rest of my rights here I freely resign.

Had I been a bit busier, a buffet, perhaps,

I could have dealt more directly, and done you some harm…

True men pay what they owe:

No danger then in sight.

You failed at the third throw,

So take my tap, sir knight.” (ll. 2341-2357, Borroff)

In this passage, after Gawain’s third hit is revealed to be because he lies, as the Green Knight says, “you failed at the third throw.” However, the Green Knight didn’t behead him, showing that one simple nick was enough for Gawain “pay[ing] what [he] owe[d]” and also referred to him as “true man,” implying Gawain’s honesty despite the nick being due to him lying. This implies that if he’d fully lied and been dishonest, he would have been hit thrice — one for a lie on each day — and likely killed. Gawain, in being honest in the game of winnings, had unknowingly redeemed himself from his mistake at the feast last year when attempting to cheat the game by being honest and coming to fulfill the game; he was properly fulfilling what he should be doing as a knight, other than his mistake of dishonesty, which he was punished for. Further, despite his punishment, Gawain was still given a second chance because he wasn’t killed — he still had his life to make up for the mistakes he made of lying. The Green Knight also considers the context of Gawain’s lie, saying:

“So is Gawain, in good faith, to other gay knights.

Yet you lacked, sir, a little in loyalty there,

But the cause was not cunning, nor courtship either,

But that you loved your own life; the less, then, to blame.” (ll. 2365-2368, Borroff)

Here, the Green Knight also directly addresses his dishonesty and says that, despite his dishonesty not being true to his duty as a knight, he can’t be blamed for just wanting to live. The incompatibility of these concepts is also explored in Jesse Roberts’s “Chivalric Duty and Human Fallibility”. Both the honors of knighthood and Gawain’s methodology of preserving his life and his own human fallibility force Gawain to address the tension between these two values. (Roberts) This represents a more nuanced view of Gawain’s lie, building on the portrayal of life and duty in the poem. Despite his duty, Gawain had prioritized his life over upholding the values of his duty. Even then, he is still constantly faced by the weight of his mistakes, but at the same time, given constant second chances to improve and redeem himself. The nick he got for his dishonesty is a final representation of that second chance, and how life ties into duty — he was given a final second chance to live and uphold his duty after learning from the several mistakes he made. Gawain addresses this, saying:

“Your cut taught me cowardice, care for my life,

And coveting came after, contrary both

To largesse and loyalty belonging to knights.” (ll. 2379 – 2381, Borroff)

Gawain directly says he learned more about the duty that belongs to knights by saying the Green Knight “taught [him] cowardice…and loyalty belonging to knights” telling us that his experience prior to the games was lacking but he learned from the entire ordeal with the Green Knight. This shows that his redemption did affect the way he viewed his duty as a knight, and now he has a better view of how to “Care for [his] life” along with harnessing the loyalty belonging to knights. This change in Gawain is also shown in the way the poem describes him. It reads:

Wild ways in the world our worthy knight rides

On Gringolet, that by grace had been granted his life.

He harbored often in houses, and often abroad,

And with many valiant adventures verily he met…

The nick on his neck he naked displayed

That he got in his disgrace at the Green Knight’s hands…

“For where a fault is made fast, it is fixed evermore…” (ll. 2479-2512, Borroff)

Gawain is directly described to be “a worthy knight,” which shows that he is now truly a knight following his duty, and directly addresses his mistake and how it is now “fixed evermore.” His opportunity for this was only possible because of the second chance to live from his duty he got from the exchange game, showing that the message portrayed in Gawain’s character is that redemption in duty is achieved through second chances despite mistakes and mishaps made throughout your life. He did not portray perfection in his duty, but instead had a balance between redemption in his duty and consequences — something that the nick on his neck represents. He did not redeem himself fully, but his partial redemption allowed him to learn from the past mistakes he had made within his duty.

Throughout Sir Gawain and the Green Knight, there is a repetitive and continuous pattern of making mistakes within one’s duty and redeeming oneself. Zooming out, the portrayal of the character Gawain — who is highly praised for being a compassionate and chivalrous knight — openly making mistakes, is unorthodox. These ideas of Gawain as a perfect knight are explored in Kennis Jobe’s “A Model Knight: Sir Gawain, Chivalric Contradictions, and Grief in Medieval Literature.” This different portrayal of him is significant, considering Gawain’s previous portrayal as a model knight in previous works featuring Gawain, such as L’arte Périlleux and Claris et Laris. (Jobe) However, the appeal in a story like this shows in its message of redeeming oneself within duty. It has a certain ignorance toward the concept of perfection at duty and embraces the priority of your life and humanity in the actions of constant improvement, despite past portrayal as a model knight. Ultimately, this poem makes a powerful statement on the complexities of the relationship between life and duty, illustrating a message that, despite the weight of expectations and the want of perfection, the honest way to be true to one’s duty is achieved through constant improvement from past mistakes and seizing second chances to be better.

Works Cited

Borroff, Marie, and Laura L. Howes. Sir Gawain and the Green Knight: An Authoritative Translation, Contexts, Criticism. W. W. Norton & Company, 2022.

Pearsall, Derek. “The Structure of Sir Gawain and the Green Knight.” Speculum, vol. 52, no. 4, 1977, pp. 619–640.

Gusdorf, Georges. “The Game of Chance: Moral Ambiguity in Sir Gawain and the Green Knight.” Modern Philology, vol. 83, no. 1, 1985, pp. 67–78.

Brewer, Derek. “The Ethics of Honor in Medieval Knighthood.” Journal of Medieval History, vol. 14, no. 1, 1988, pp. 39–48.

Jobe, Kennis. “A Model Knight: Sir Gawain, Chivalric Contradictions, and Grief in Medieval Literature.” 2023. Louisiana Tech University, Louisiana Tech Digital Commons, https://digitalcommons.latech.edu/cgi/viewcontent.cgi?article=1104&context=theses

Nicolson, Marjorie. “Second Chances and Self-Knowledge in Sir Gawain and the Green Knight.” Studies in Philology, vol. 82, no. 3, 1985, pp. 281–294.

Taylor, Jane H.M. “The Girdle and Its Meaning in Sir Gawain and the Green Knight.” The Review of English Studies, vol. 56, no. 225, 2005, pp. 362–374.

Roberts, Jesse. “Chivalric Duty and Human Fallibility.” Speculum, vol. 70, no. 4, 1995, pp. 797–820.

About the author

Ananya Kota

Ananya Kota is an 11th grader at Los Altos High School. She interns at her local newspaper as a reporter and is a community editor for her local student-run journalism publication. She is a peer tutor at her school and is the co-founder of a local youth lit-mag.

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