title: An Empirical Approach to Symmetry and Probability
creator: North, Jill
subject: Probability/Statistics
subject: Symmetries/Invariances
subject: Statistical Mechanics/Thermodynamics
description: We often rely on symmetries to infer outcomesâ€™ probabilities, as when we infer that each side of a fair coin is equally likely to come up on a given toss. Why are these inferences successful? I argue against answering this question with an a priori indifference principle. Reasons to reject such a principle are familiar, yet instructive. They point to a new, empirical explanation for the success of our probabilistic predictions. This has implications for indifference reasoning generally. I argue that a priori symmetries need never constrain our probability attributions, even for initial credences.
date: 2010-01
type: Preprint
type: NonPeerReviewed
format: application/pdf
identifier: http://philsci-archive.pitt.edu/5192/1/Symmetry_Probability_Rev_SUBD.pdf
identifier: North, Jill (2010) An Empirical Approach to Symmetry and Probability. [Preprint]
relation: http://philsci-archive.pitt.edu/5192/