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Given how much I’ve blogged about the 2016 ASA p-value statement, the 2019 Executive Editor’s editorial in The American Statistician (TAS), the 2020 ASA (President’s) Task Force, and the various casualties of the related teeth pulling, I thought I should say something about the recent

The concept of a test’s power, originating in Neyman-Pearson’s early work, by and large, is a pre-data concept for purposes of specifying a test (notably, determining worthwhile sample size), and choosing between tests. In some papers, however, Neyman lists a third goal for power: to interpret test results post data much in the spirit of what is often called “power analysis”....

The mayor of NYC offered $30 an hour to help shovel the ~ 30 inches of snow that fell last Sunday and Monday. From what I hear, it was a very effective program. Here’s a little power puzzle to very easily shovel through [1]

Suppose you are reading about a result x  that is just statistically significant at level α (...

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I often say that the most misunderstood concept in error statistics is power. One week ago, stuck in the blizzard of 2026 in NYC —exciting, if also a bit unnerving, with airports closed for two and a half days and no certainty of when I might fly out—I began collecting the many power howlers I’ve discussed in the past, because some of th...