That doesn’t lower the pre-study prior for hypotheses, it (in combination with reporting bias) reduces the likelihood ratio a reported study gives you for the reported hypothesis.
Respectfully disagree. The ability to cheaply test hypotheses allows researchers to be less discriminating. They can check a correlation on a whim. Or just check every possible combination of parameters simply because they can. And they do.
That is very different from selecting a hypothesis out of the space of all possible hypotheses because it’s an intuitive extension of some mental model. And I think it absolutely reduces the pre-study priors for hypotheses, which impacts the output signal even if no QRPs are used.
This implies that the average prior for a medical study is below 5%. Does he make that point in the book? Obviously you shouldn’t use a 95% test when your prior is that low, but I don’t think most experimenters actually know why a 95% confidence level is used.