

#51 Bernoulli’s Fallacy & the Crisis of Modern Science, with Aubrey Clayton
4 snips Nov 22, 2021
Aubrey Clayton, a mathematician at Harvard Extension School, explores the shortcomings of standard statistical methods and their impact on various fields, from science to law. He discusses his book, "Bernoulli's Fallacy," revealing a critical error in logic that contributes to the replication crisis in modern science. Clayton highlights the transformative power of Bayesian thinking and shares insights from E.T. Jaynes, advocating for a shift in how we understand and apply probability. He emphasizes the necessity of incorporating prior knowledge to improve decision-making and scientific inference.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Intro
00:00 • 3min
The Philosophy of Probability and Statistics
02:38 • 12min
Rethinking Probability: From Theory to Application
15:01 • 19min
Rethinking Statistics: A Bayesian Perspective
34:13 • 26min
Embracing Bayesian Thinking
01:00:18 • 4min
Rethinking Cox's Theorem: A Deep Dive into Probability Fundamentals
01:04:09 • 2min
Dinner With Statistical Legends
01:05:51 • 4min