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FEATURE ARTICLE

The Statistical Crisis in Science

Data-dependent analysis—a “garden of forking paths”— explains why many statistically significant comparisons don't hold up.

Andrew Gelman, Eric Loken

Click to Enlarge ImageThe authors, both statisticians (and, in Gelman’s case, the coauthor of previous American Scientist articles), discuss the statistical problem of ”p-hacking,” or ”researcher degrees of freedom,” which they feel is fueling public skepticism toward statistically significant claims.


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