Should science stop worshiping statistical significance? (with Andrew Gelman)
Clearer Thinking with Spencer Greenberg
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What makes a piece of research “public property,” and what ethical obligations does that create for critics and authors alike? When a result feels wrong but you can’t locate the “smoking gun,” how should skepticism be calibrated without sliding into cynicism? How can a field avoid mistaking the absence of obvious errors for evidence that a claim is sound? What incentives cause entire literatures to form around fragile findings, and why do they persist for so long? Why do some researchers experience replication attempts as hostility, while others experience them as a gift? What norms would make constructive public criticism more common and less personally costly? How should we weigh a paper’s contribution when its analysis is flawed but its question is valuable? When is it rational to trust “the literature,” and when is the literature itself likely to be trapped in self-reinforcing error? What would it take for scientific communities to treat uncertainty as an honest output rather than a professional liability? Can a culture of open critique exist without amplifying bad-faith attacks or anti-science narratives?
Andrew Gelman, Ph.D., is Higgins Professor of Statistics, Professor of Political Science, and director of the Applied Statistics Center at Columbia University.
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