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John Ioannidis

 

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).

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