Ep 26: Deborah Mayo on Error, Replication, and Severe Testing
Deborah G. Mayo is professor emerita in the department of philosophy at Virginia Tech, a research associate at the London School of Economics, and a pioneer of the "Error Stats" method for testing scientific claims.
The Filter Podcast with Matt Asher · Mattasher
November 23, 202056m 19s
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Show Notes
Deborah G. Mayo is professor emerita in the department of philosophy at Virginia Tech, a research associate at the London School of Economics, and a pioneer of the "Error Stats" method for testing scientific claims. We discuss the history of the problem of induction, her developed approach to scientific claims, and ideas from her most recent book, “Statistical Inference as Severe Testing”.
Related links:
Error Statistics Blog
PhilStatWars
Deborah Mayo's publications
My analysis of the global warming data
Statistical Inference As Severe Testing by Deborah G. Mayo (2018)
Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science by Deborah G. Mayo & Aris Spanos (2009)