Comment Re:Significance (Score 1) 82
If you look at it from a Bayesian point of view, you would say that the classical statistical tests are only valid when the prior, subjective probability of the tested hypothesis is around 1/2 or higher. If this hypothesis is very unlikely, you would probably not believe it, even if the data show a significant effect. On the other hand, if the hypothesis is very probable, you would believe it even after the data show no significant effect. Even while you cannot publish it, you would think that you had bad luck or that something went wrong with the experiment.