This paper employs epistemic logic to investigate the philosophical foundations of Bayesian updating in belief revision. By Bayesian updating, we understand the tennet that an agent’s degrees of belief—assumed to be encoded as a probability distribution—should be revised by conditionalization on the agent’s total knowledge up to that time. A familiar argument, based on the construction of a dia...