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I continue my selective 5-year review of some of the posts revolving around the statistical significance test controversy from 2019. This post was first published on the blog on November 14, 2019. I feared then that many of the howlers of statistical significance tests would be further etched in granite after the ASA’s P-value project, and in many quarters this is, unfortunately, true. One that I’ve noticed quite a lot is the (false) supposition that negative results are uninformative. Some fields, notably psychology, keep to a version of simple Fisherian tests, ignoring Neyman-Pearson (N-P) tests (never minding that Jacob Cohen was a psychologist who gave us “power analysis”). (See note [1]) For N-P, “it is immaterial which of the two alternatives…is labelled the hypothesis tested” (Neyman 1950, 259). Failing to find evidence of a genuine effect, coupled with a test’s having high capability to detect meaningful effects, warrants inferring the absence of meaningful effects. Even with the simple Fisherian test, failing to reject H0 is informative. Null results figure importantly throughout science, such as when the ether was falsified by Michelson-Morley, and in directing attention away from unproductive theory development.
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I will be giving an online talk on Friday, Feb 2, 4:30-5:45 NYC time, at a conference you can watch on zoom this week (Jan 30-Feb 2): Is Philosophy Useful for Science, and/or Vice Versa? It’s taking place in-person and online at Chapman University. My talk is: 







