It is time to stop teaching frequentism to non-statisticians (2012)

Regardless of the pros and cons of Bayesian methods, here is what I believe is needed: - Pre-register all studies, declaring sample sizes and power analysis. - Report results regardless of outcome. Eliminate the "we only publish stat sig results" baloney. - Report confidence/credible intervals, adjusting for multiple comparisons as appropriate. Plot the posterior distribution of the effect size if appropriate. - Publish all data and code. - Provide funding for duplicating important studies.

Yes old, but even worse, it is not a well argued review. Yes, Bayesian statistics are slowly gaining an upper hand at higher levels of statistics, but you know what should be taught to first year undergrads in science? Exploratory data analysis! One of the first books I voluntarily read in stats was Mosteller and Tukey’s gem: Data Analysis and Regression. A gem. Another great book is Judea Pearl’s Book of Why.