I think there is a whole class of statistical "strangeness" with using p values for hypothesis testing. For instance, p = 0.05 means that we have ~30% chance th

I think there is a whole class of statistical "strangeness" with using p values for hypothesis testing. For instance, p = 0.05 means that we have ~30% chance that our hypothesis is a false positive [1], which is far from what intuition tells us. [1] http://www.nature.com/news/scientific-method-statistical-errors-1.14700 http://www.nature.com/news/scientific-method-statistical-err...