There’s a paradigm in applied statistics that goes something like this: 1. There is a scientific or policy question of some theoretical or practical importance. 2. Researchers gather data on relevant outcomes and perform a statistical analysis, ideally leading to a clear conclusion (p less than 0.05, or a strong posterior distribution, or good predictive […]The post How to think about the statistical evidence when the statistical evidence can’t be…