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. 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)