Improving Predictions with Better Theories

Everything and more one might ever want to know about the topic...that other epistemology people often talk about. The central project is to distinguish between 4 "species" of what is often called "Bayesianism" 

1. Bayes' Theorem.

2. Bayesian Statistics.

3. Bayesian Reasoning

4. Bayesian Epistemology. 

Actual timestampes and chapters are:

00:00 - Introduction to this podcast

02:55 Epistemology 

11:30 Substrate Independence

12:30 Inexplicit Knowledge/Knowledge without a knower

21:30 Explanatory Universality and Supernaturalism

24:30 When we lack good explanations

29:00 Rational Decision Theory 

33:39: Bayes’ Theorem

41:40 Bayesian Statistics

1:07:50 Bayesian Reasoning

1:16:00 Bayesian “Epistemology”

1:20:13: Quick Recap

1:20:49 A question from Stephen Mix

1:21:50 “Confidence” in epistemology

1:26:13 Measurement and Uncertainty

1:31:50 Confidence and experimental replication

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