> it’s generally not useful to learn the answer The point of priors is to represent beliefs about reality. It would certainly be surprising if you had a zero p

> it’s generally not useful to learn the answer The point of priors is to represent beliefs about reality. It would certainly be surprising if you had a zero prior for neutrino to have no charge. Why cannot people have similar beliefs about drugs? > an experiment that is intended to be useful should say something about the size of an effect I agree. Nothing stops people who study depression drugs from doing power analysis and reporting those numbers. > how exactly can you make a well defined experiment that can confirm the null hypothesis I think you refer to the common of idea of rejecting or not rejecting H0. Well, from the point of view of statistical decision theory, the distinction between non-rejecting and accepting just doesn’t exist. You either choose H0 or H1. If you had n=1, of course there is a high chance of Type II error. Do power analysis and design an appropriate experiment given your desired significance level, statistical power and effect size.