The Effect of Statistical Training on the Evaluation of Evidence (2016) [pdf]
Whoever choose letter p (suggesting probability) over s (significance) or e1 (type 1 error value) did a major disservice to the world of science.<p>P value is a measure of error (And not a probability but maybe  one kind of likelihood), not evidence, how likely it is we are seeing the result of a chance. (How the chance is defined is important and hidden in the method used to compute the p value.) And any hard cutoff is really missing the point, there is a reason this is a number not a binary value.<p>Effect size estimate or risk ratio are much more useful numbers anyway.