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The replication crisis, also known as the reproducibility crisis, is a methodological crisis affecting various scientific fields, where a significant portion of published research findings are difficult or impossible to reproduce in subsequent studies [1, 6]. The crisis first gained widespread attention in psychology and social sciences but is now recognized as a broader issue that also impacts medicine and other disciplines [1, 3, 6]. It undermines the reliability of the scientific record, wastes research funding, and can have severe real-world consequences [3, 5].
The crisis was starkly illustrated by a large-scale 2015 study published in Science, which attempted to replicate 100 prominent findings from top psychology journals. The project found that only 36% of the replication attempts produced statistically significant results consistent with the original studies [1]. This low rate of reproducibility suggested that a substantial part of the published literature might not be reliable [1, 2].
While psychology was an early focus, the problem is not isolated to that field. The crisis extends to critical areas of medical science:
The replication crisis is not attributed to a single cause but rather a combination of systemic issues, methodological shortcomings, and, in some cases, outright misconduct [7].
The concept of “stereotype threat”—the idea that awareness of a negative stereotype about one’s group can impair performance—is a prominent example of a theory caught in the replication crisis. Once a cornerstone of social psychology, the theory has faced a “reckoning” after numerous replication attempts failed to consistently reproduce the original, strong effects. This has forced researchers to re-evaluate the theory’s robustness and the conditions under which it might apply, illustrating how even widely accepted ideas can be challenged by replication failures [4].
The inability to trust published research has severe consequences:
Ultimately, the replication crisis is a systemic challenge forcing many scientific fields to improve their methods, promote transparency, and reform publishing incentives to ensure that scientific knowledge is built on a more reliable and trustworthy foundation [1, 7].
[1] A foundational 2015 study that provided large-scale, quantitative evidence for the replication crisis in psychology, showing that a majority of attempted replications of prominent studies failed to reproduce the original findings. https://pubmed.ncbi.nlm.nih.gov/26315443/
[2] This author interprets data on false discovery rates and replication failures to argue that a high percentage—potentially around 75%—of claims in fields like psychology are likely false due to systemic methodological issues and biases. https://unsafescience.substack.com/p/75-of-psychology-claims-are-false
[3] This op-ed argues that a high-profile case of alleged fraud in Alzheimer’s research demonstrates how scientific misconduct can derail an entire field for decades, wasting billions of dollars and delaying progress on a cure. https://www.nytimes.com/2025/01/24/opinion/alzheimers-fraud-cure.html
[4] A paper by a social psychologist reflecting on how a famous and influential theory, “stereotype threat,” has faced a scientific “reckoning” due to repeated failures to replicate, illustrating the real-world impact of the crisis on established knowledge. https://www.factfaq.com/resources/Revisiting_Stereotype_Threat_-_by_Michael_Inzlicht.pdf
[5] This article argues for treating serious scientific fraud as a crime, highlighting cases where scientific lies, particularly in medicine, have led to a “staggering death toll” and immense human suffering. https://www.vox.com/future-perfect/368350/scientific-research-fraud-crime-jail-time
[6] This investigative report in Nature details the widespread and growing problem of faked or flawed data in clinical trials, arguing that it poses a serious threat to medical knowledge and patient safety. https://www.nature.com/articles/d41586-023-02299-w
[7] This meta-research paper analyzes trends in psychology from 1975-2017, concluding that while statistical power has increased, issues like publication bias remain, which contribute to a high “false discovery rate” and help explain the persistence of the replication crisis. https://pmc.ncbi.nlm.nih.gov/articles/PMC10581498/