![]() ![]() So much so that some journals are starting to recommend authors move away from rigid p value thresholds by which results are classified as significant or insignificant. Perhaps there are no statistical concepts or methods that have been used and abused more frequently than statistical significance and the p value. P values on Trial (and the Beauty and Beast in a Single Number) Meng’s blurb (his full editorial is here): ![]() I got cold feet when it came to naming names in the book, but in this article I do.īelow I paste Meng’s blurb, followed by the start of my article. A few months after the book came out, the actual case took a turn that went even a bit beyond what I imagined could transpire in my parody. More specifically, Excursion 4 Tour III of my book Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars (2018, CUP) opens with a parody of a legal case, that of Scott Harkonen (in the parody, his name is Paul Hack). This is a case where reality proves the parody (or maybe, the proof of the parody is in the reality) or something like that. He writes a short blurb on each article in his opening editorial of the issue. The editor-in-chief is Xiao-li Meng, a statistician at Harvard. HDSR describes itself as a A Microscopic, Telescopic, and Kaleidoscopic View of Data Science. My new paper, “ P Values on Trial: Selective Reporting of (Best Practice Guides Against) Selective Reporting” is out in Harvard Data Science Review (HDSR). ![]()
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