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Critique of P-Value Circling and Misuse of Statistical Significance Thresholds

By

speckx

5mo ago· 17 min readenInsight

Summary

The article critiques the misuse of p-values in statistical analysis, specifically addressing the practice of 'p-value circling' where researchers selectively report p-values that meet the arbitrary 0.05 significance threshold. The author argues against giving p-values a role they weren't designed for, discusses Lindley's paradox in Bayesian statistics, and examines how this relates to the p-value circling problem. The content explores statistical methodology, the historical context of Fisher's 0.05 threshold, and the philosophical implications of statistical significance testing in research.

Key quotes

· 4 pulled
100 years ago this year Fisher arbitrarily suggested using p < 0.05 as a cut-off for 'significant' and ever since we've just gone along with it.
Being confused is just the first step towards being unconfused, to paraphrase Jake The Dog.
I don't think Lindley's paradox supports p-circling
Don't give p-values a role they're not made for
Snippet from the RSS feed
Don’t give p-values a role they’re not made for

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