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SUMMARY:Deborah Mayo (Virginia Tech): Severe Testing
DESCRIPTION:Severe Testing: Beyond (frequentist) Performance and (Bayesian)
  Probabilism\nHigh-profile failures of replication in the social and biolo
 gical sciences underwrite a minimal requirement of evidence: If little or
  nothing has been done to rule out flaws in inferring a claim\, then it ha
 s not passed a severe test. A claim is severely tested to the extent it h
 as been subjected to and passes a test that probably would have found flaw
 s\, were they present. The goal of highly well tested claims differs from 
 that of highly probable ones\, explaining why experts so often disagree ab
 out statistical reforms. The concept of severe testing applies beyond form
 al testing to estimation\, prediction\, and problem solving more generally
 . I will consider implications of this perspective for (a) relating stat
 istical inference and scientific inference\, and (b) understanding and get
 ting beyond today’s statistics wars.\nBio \nDeborah G. Mayo is Profess
 or Emerita in the Department of Philosophy at Virginia Tech and is a visit
 ing professor at the London School of Economics and Political Science\, Ce
 ntre for the Philosophy of Natural and Social Science. She is the author o
 f Error and the Growth of Experimental Knowledge (Chicago\, 1996)\, which
  won the 1998 Lakatos Prize awarded to the most outstanding contribution t
 o the philosophy of science during the previous six years. She co-edited 
 Error and Inference: Recent Exchanges on Experimental Reasoning\, Reliabil
 ity\, and the Objectivity and Rationality of Science (CUP\, 2010) with Ar
 is Spanos\, and has published widely in the philosophy of science\, statis
 tics\, and experimental inference. Her most recent book is Statistical Inf
 erence as Severe Testing: How to Get Beyond the Statistics Wars (CUP\, 201
 8). She will co-direct (with Aris Spanos) a Summer Seminar on Philosophy o
 f Statistics at Virginia Tech\, with 15 participating philosophy and socia
 l science faculty and post docs\, July 28-August 11\, 2019. 
URL:https://www.imperial.ac.uk/events/97016/deborah-mayo-virginia-tech-seve
 re-testing/
DTSTART;TZID=Europe/London:20190524T150000
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LOCATION:United Kingdom
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