When is Bayesian updating difficult? When the posterior is highly nonlinear: small changes in signal accuracy swing it sharply. That's where people err most. Timing matters too: in low-difficulty tasks, seeing signals at once eliminates base-rate neglect.
econometricsociety.org/publications/q…
