Statistics Done Wrong: Inferential statistics and how scientists screw it up

I'm a little disappointed that Bayes never gets mentioned here, however, since Bayesian methods are a systematic way to deal with all the problems in classical statistics that are talked about in this article (ie. stopping rules, "base rate")

Also there's no mention at all of the widespread abuse of parametric statstics -- that all the time people take some test out of a book that has 5 or 6 conditions that need to be true to use it and those conditions don't apply. There are many nonparametric techniques that are simple and foolproof and sacrifice a small amount of power.

It's 2012 and we can make short work of tough problems in a Bayesian framework with MCMC. There are good textbooks in Bayesian methods today, unlike the 1970s. It's time to send classical statistics packing.