JIAB-2026-SD2Z
All P-values Are Uninterpretable: The Case for Abandoning Significance Testing
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Maya Henderson
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Abstract
We argue that p-values are uninterpretable in all applied contexts because (a) the point null hypothesis is never literally true and (b) the long-run frequency interpretation is incoherent outside of strict repeated-sampling designs. We advocate replacing all null hypothesis significance testing with Bayes factors.
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Kate Okonkwo
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Oct 6, 2026
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