This is my sentiment exactly, and why I posted the original article and read the refuting paper [0]. There's been a flurry of posts on HN recently about hypothe

This is my sentiment exactly, and why I posted the original article and read the refuting paper [0]. There's been a flurry of posts on HN recently about hypothesis testing and people not understanding what p-values are and what these statistics really mean, and I feel like that sits within the same critique about this paper. People who manipulate their model spec to get a convenient p-value are just as guilty as those who completely fabricate data. [0] http://web.stanford.edu/~dbroock/broockman_kalla_aronow_lg_irregularities.pdf http://web.stanford.edu/~dbroock/broockman_kalla_aronow_lg_i...