Kang Muslim
The rapid evolution of the open science movement, designed to democratize knowledge and accelerate the pace of academic discovery, has inadvertently created a gateway for the resurgence of scientific racism. A comprehensive study published in the journal Behavior Genetics reveals that unreviewed research platforms are increasingly being used to host and distribute debunked theories regarding race and genetics. Conducted by Evan J. Giangrande, a researcher at the Broad Institute of MIT and Harvard, the analysis highlights how proponents of eugenics-adjacent ideologies have pivoted from fringe, specialized journals to mainstream open-access archives, lending their work a veneer of academic legitimacy that threatens to mislead the public and policy-makers alike.
The Transformation of Academic Publishing and the Open Science Movement
For decades, the "gold standard" of scientific communication was the peer-reviewed journal. Under this model, research underwent rigorous scrutiny by independent experts who evaluated methodologies, data integrity, and logical conclusions before publication. While this process ensured a high level of quality control, it was often criticized for being slow, expensive, and prone to "gatekeeping" by established academic elites.
The emergence of the open science movement in the early 2010s sought to dismantle these barriers. Central to this movement is the "preprint"—a version of a scientific manuscript uploaded to a public server before it undergoes formal peer review. Platforms such as bioRxiv, PsyArXiv, and the Open Science Framework (OSF) allow researchers to share findings instantly, fostering collaboration and allowing the global community to build upon new data in real-time. This model proved particularly vital during the COVID-19 pandemic, where the rapid sharing of genomic data saved lives.
However, as Giangrande’s research demonstrates, the absence of traditional editorial oversight has been exploited. By removing the filters that typically block pseudoscientific or methodologically unsound research, these platforms have become unintended hosts for a new wave of "hereditarian" studies—research that falsely claims social disparities between racial groups are rooted in innate biological differences.
A History of Displacement: From Fringe Journals to Mainstream Servers
To understand the current crisis, one must look at the history of scientific racism. Following the mid-twentieth century and the global rejection of eugenics after World War II, theories suggesting the biological inferiority of certain racial groups were pushed out of mainstream academia. Proponents of these ideas found themselves relegated to a handful of "fringe" publications.
The most prominent of these is Mankind Quarterly, a journal founded in 1960 by a group of segregationists and proponents of eugenics. For decades, Mankind Quarterly served as an echo chamber for researchers interested in "race realism," a euphemism for the study of racial differences in intelligence and behavior. Because mainstream scientists and major universities largely ignored these specialized outlets, the reach of these ideas remained limited to a small, isolated circle of activists and discredited academics.
Giangrande’s study identifies a strategic shift in tactics. Recognizing that Mankind Quarterly carries a heavy stigma, these authors have begun cross-posting their work to popular preprint servers. By appearing on the same platforms as legitimate research from institutions like Harvard, Stanford, or the Max Planck Institute, these authors can bypass the "fringe" label and present their work as part of the broader scientific discourse.
Quantifying the Infiltration: The Scope of the Study
Giangrande’s investigation utilized a systematic approach to quantify the presence of fringe science on open platforms. He began by identifying every author who published an article in Mankind Quarterly between 2014 and early 2024. He then tracked these specific individuals across four major open science archives: PsyArXiv (psychology), bioRxiv (biology), SocArXiv (social sciences), and OSF Preprints (general research).
The search yielded 79 distinct preprints associated with these authors. To focus the analysis, Giangrande narrowed the list to 42 papers specifically examining behavioral differences among human groups. The results were stark:
- Engagement: These 42 papers were not merely sitting idle; they had garnered thousands of views and downloads, indicating a significant level of public consumption.
- Subject Matter: The majority of the papers categorized humans into socially defined racial, ethnic, or national groups, with a heavy focus on intelligence, cognitive ability, and educational attainment.
- Genetic Focus: Out of the 42 papers, 31 discussed genetics as a primary driver of group differences, and 13 performed original genetic analyses using modern datasets.
Technical Fallacies and the Misuse of Genetic Tools
The danger of these preprints lies in their use of sophisticated-looking but fundamentally flawed genetic methodologies. Giangrande’s analysis details several ways in which the authors of these papers misinterpret or misapply complex biological concepts to reach predetermined conclusions about race.
The Misapplication of Heritability
A common error identified in the preprints is the conflation of "within-group" heritability with "between-group" differences. In genetics, heritability is a statistical measure of how much of the variation in a trait within a specific population can be attributed to genetic variation. However, mainstream geneticists have long established that a high heritability within a group (e.g., the height of people in Sweden) says nothing about why two different groups differ (e.g., the average height of people in Sweden versus Japan). Environmental factors, nutrition, and social history are the primary drivers of group differences, yet the analyzed preprints frequently ignored this distinction to argue for innate genetic gaps.
The Problem with Polygenic Scores (PGS)
Many of the analyzed papers relied on polygenic scores—mathematical estimates of an individual’s genetic likelihood for a trait based on thousands of tiny DNA variations. While PGS is a legitimate tool in medical research, its "portability" across different ancestral groups is notoriously poor. Because most genetic databases are based on individuals of European descent, the scores do not map accurately onto other populations. The preprints, however, often compared polygenic scores across racial groups to "prove" differences in intelligence, ignoring the well-documented technical limitations that make such comparisons scientifically invalid.
Admixture Regression and Social Confounds
A smaller number of papers utilized "admixture regression," a technique that looks at individuals with mixed ancestry to see if the proportion of "African" or "European" DNA correlates with certain traits. Biologists and sociologists criticize this method because it fails to account for the social reality of race. In many societies, an individual’s outward appearance (phenotype) dictates how they are treated, their access to resources, and their exposure to systemic racism. Admixture regression often mistakes these environmental and social effects for direct genetic influences.
Resurrecting Debunked Evolutionary Frameworks
The preprints did not only rely on modern data; they also revitalized several debunked evolutionary theories from the 19th and 20th centuries to explain their findings. One prominent theme was the "Cold Winters Theory," which posits that humans who migrated to northern climates evolved higher intelligence due to the cognitive demands of surviving harsh winters. This theory has been thoroughly rejected by evolutionary biologists for its oversimplification of human migration and its failure to account for the complex civilizations that thrived in tropical and subtropical regions.
Another recurring concept was "Differential-K Theory," a racist biological framework suggesting that different human races evolved different reproductive strategies. The theory falsely claims that some groups evolved for high fertility and low parental investment, while others evolved for low fertility and high investment. Additionally, several papers promoted "dysgenics"—the eugenic fear that the genetic quality of a population is declining because marginalized groups or those with lower socioeconomic status are reproducing at higher rates.
The Danger of Academic Mimicry
Perhaps the most concerning aspect of Giangrande’s findings is the "false sense of authority" these papers project. By utilizing academic formatting, complex statistical software, and citations of publicly available datasets (such as the UK Biobank or the Adolescent Brain Cognitive Development Study), these authors create documents that are indistinguishable from legitimate science to the untrained eye.
This mimicry allows the research to be weaponized in online spaces. Unsuspecting readers, looking for "data-driven" arguments, may cite these preprints as proven facts in social media debates, policy discussions, or educational forums. Because the papers are hosted on reputable-sounding "science archives," the public often assumes they have passed some form of quality control.
Potential Solutions and the Path Forward
The study acknowledges several limitations, noting that the focus on authors previously published in Mankind Quarterly likely results in an underestimation of the true volume of pseudoscientific content on these platforms. Furthermore, the problem extends beyond these four archives into social media, AI-driven research tools, and blogs.
In response to these findings, Giangrande and other members of the scientific community have proposed several interventions:
- Platform Responsibility: Open science archives could implement "explicit warnings" on manuscripts, stating clearly that the content has not been peer-reviewed and may not meet basic scientific or ethical standards. Some platforms have already begun implementing stricter screening processes for papers involving human genetics.
- Precise Language: Scientists are encouraged to be extremely precise in their use of terms like "race," "ancestry," and "heritability." Vague terminology provides "loopholes" that bad actors can exploit to misinterpret legitimate data.
- Public Education: There is a pressing need for improved genomic literacy. If the public understands the limitations of tools like polygenic scores, they will be better equipped to spot the logical fallacies in pseudoscientific work.
- Active Rebuttal: The academic community is urged to move away from simply ignoring fringe science. Instead, researchers should actively format rebuttals and provide context for flawed studies when they appear online, ensuring that the "digital footprint" of a pseudoscientific claim is accompanied by a scientific correction.
As the open science movement continues to grow, the balance between the free exchange of ideas and the prevention of harmful misinformation remains a critical challenge. Giangrande’s study serves as a call to action for researchers and platform moderators to safeguard the integrity of the scientific record against the resurgence of discredited ideologies.
