Epistemic Interpretations of Probability
Two recent episodes (Fitelson, Ep. 31; Vasudevan, Ep. 45) have mentioned ‘epistemic interpretations’ of probability and Bayes’ Theorem. For Fitleson, Bayes’ Theorem provides a model for inductive reasoning, and he is concerned with deviations from this model (as in the ‘base rate fallacy’ and ‘Linda cases’). Vasudevan takes epistemic interpretations of probability as the historical response to the apparent tension between determinism and our intuitions about chance events like the flip of a coin—a response which he ultimately rejects. Bayes’ Theorem and the epistemic interpretation of probability are intimately related, as one view in the philosophy of probability, Bayesianism, uses Bayes’ Theorem to represent changes in our beliefs in light of new evidence, which assumes an epistemic interpretation of probability. In the first part of this post, let’s take a look at some of the basic ideas and motivations behind the epistemic interpretation. In the second, we will look at some of the ‘mathematical machinery’ the Bayesian, who assumes an epistemic interpretation of probability, employs. ...