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The reproducibility crisis refers to the fact that a large number of published studies cannot yield the same results when independently reproduced, which is manifested in psychology, medicine, and even machine learning.
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10/31/2026
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Related Claims
UnverifiedSelective reporting systematically exaggerates a method's actual effectiveness and is one of the important causes of the 'reproducibility crisis' in machine learning.74% similarUnverifiedThe author believes that breakthroughs in this type of experiment cannot emerge from a single run, but may appear by chance once in dozens or hundreds of experiments, and reproducibility and stability remain issues.69% similarUnverifiedFour replication experiments led by cognitive psychologists in 2021 failed to reproduce a reliable doorway effect, suggesting that its effect size may have been exaggerated or that it holds only under specific conditions.68% similarUnverifiedTest repeatability—running the same method and getting the same result—remains one of the most contentious issues.65% similarUnverifiedWithout re-planning capability, an agent easily retries repeatedly at the same point of failure, forming an ineffective loop.65% similar
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