
Ep. 267 - Bernoulli's Fallacy with Aubrey Clayton
The Local Maximum with Max Sklar
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The Inferential Logic of Probability
Ronald Fisher, who's one of the great statisticians of the 20th century, essentially used that as his justification for no hypothesis, significant testing. It says basically that the structure of that argument is. If the hypothesis is right, whenever hypothesis is under consideration, then the data we got would be something very, very unlikely. Therefore, we kind of reject that hypothesis or we were suspicious of it anyway.
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