Some people asked for it so here you go!

While I love the em-dash, I hate the fact that — contrary to the grammar of my mother language — in english we are supposed to used it without spaces, which feels objectively worse to me 🥲

Interested? If you want to know more, you can check the paper here: www.sciencedirect.com/science/arti...

3) We introduce a simple testing procedure based on the posterior probability of the hypothesis that can be seamlessly combined with MCMC. Aside from having some neat properties, it can also be easily transformed into a Bayes factor.

2) We provide multiple suggestions to help determine what a researcher means by "good enough" even when this notion is harder to ellicit. One can use priors, measurement errors, related studies and more to identify a viable threshold.

1) We propose a method for building nonparametric hypotheses that consider researcher's opinions. For example, if the data differs from a normal by at most 1% and that is good enough for the researcher to assume normality, this can be easily inserted into the hypothesis!

Men will literally prefer going Bayesian instead of going to therapy.