Philosophy of Data Science | Deborah Mayo | Revolutions, Reforms, and Severe Testing in Statistical Thinking

<p>Philosophy of Data Science Series  Keynote with Deborah Mayo Episode 1: Revolutions, Reforms, and Severe Testing in Statistical Thinking</p> <p>In the first keynote of the Philosophy of Data Science Series we have a 2-part interview with Deborah Mayo (Virginia Tech). In the first part of our keynote with Deborah Mayo we cover... - The role of scientific revolution and its implications for statistics and data scientist. - The necessity of statistical reforms and why philosophy will play a role. - The value of severe testing of scientific claims.</p> <p> Watch it on...  YouTube: https://youtu.be/S4VAEShM3BU Podbean: </p> <p>You can join our mail list at: https://www.podofasclepius.com/mail-list</p> <p>We're always happy to hear your feedback and ideas - just post it in the YouTube comment section to start a conversation. </p> <p>Thank you for your time and support of the series! </p> <p> </p> <p>Topics:</p> <p>0:00 - Preface to First Keynote Interview 2:00 - Welcome Deborah Mayo! 5:05 - What is the Philosophy of Statistics? 8:15 - What does philosophy add to data science? 16:10 - Scientific revolution in statistics 20:10 - Statistical reforms 24:25 - Replication & hypothesis pre-specification 31:00 - Failure is severe testing 37:25 - Error statistics 48:00 - Scientific progress and closing remarks</p>