On November 14, I gave a talk at the Seminar in Advanced Research Methods for the Department of Psychology, Princeton University.
“Statistical Inference as Severe Testing: Beyond Probabilism and Performance”
The video of my talk is below along with the slides. It reminds me to return to a paper, half-written, replying to a paper on “A Bayesian Perspective on Severity” (van Dongen, Sprenger, Wagenmakers (2022). These authors claim that Bayesians can satisfy severity “regardless of whether the test has been conducted in a severe or less severe fashion”, but what they mean is that data can be much more probable on hypothesis H1 than on H0 –the Bayes factor can be high. However, “severity” can be satisfied in their comparative (subjective) Bayesian sense even for claims that are poorly probed in the error statistical sense (slides 55-6). Share your comments. Continue reading



















