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Mar 21, 2019 at 18:10 comment added R.M. While this effect is something that shouldn't be discounted, it is far from being a significant point of the referenced article.
Mar 21, 2019 at 17:54 comment added Cliff AB (-1) P-values don't show you whether a hypothesis is probably true or false. You need a prior distribution for that. See this xkcd, for example. The problematic hand-waving that leads to this confusion is that if we have similar priors for a large number of hypothesis, then the p-value will be proportional to probability it is true or false. But before seeing any data, some hypothesis are much more probable than others!
Mar 21, 2019 at 14:17 history edited whuber CC BY-SA 4.0
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Mar 21, 2019 at 8:35 review First posts
Mar 21, 2019 at 8:41
Mar 21, 2019 at 8:34 history answered digitig CC BY-SA 4.0