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SCHEEL: When Null Results Beat Significant Results OR Why Nothing May Be Truer ThanĀ Something

[The following is an adaption of (and in large parts identical to) a ** recent blog post**by Anne Scheel that appeared on The 100% CIĀ .] Many, probably most empirical scientists use frequentist statistics to decide if a hypothesis should be rejected or accepted, in particular null hypothesis significance testing (NHST).

SCHƖNBRODT: Learn to p-Hack Like theĀ Pros!

(NOTE: This ironic blog post was originally published on http://www.nicebread.de/introducing-p-hacker/) My Dear Fellow Scientists! ā€œIf you torture the data long enough, it will confess.ā€ This aphorism, attributed to Ronald Coase, sometimes has been used in a dis-respective manner, as if it was wrong to do creative data analysis. In fact, the art of creative data analysis has experienced despicable attacks over the last years.

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