Dogmatic probabilism is the theory that all rational belief updates should be Bayesian updates. Radical probabilism is a more flexible theory which allows agents to radically change their beliefs, while still obeying some constraints. Abram examines how radical probabilism differs from dogmatic probabilism, and what implications the theory has for rational agents.