Consider a coin of unknown bias. The Bayesian agent must have a precise belief about the coin’s landing heads on the next toss. Given the complete lack of information about the coin, it seems like it would be better just to suspend judgement. That is, it would be better not to have any particular precise credence. It would be better to avoid betting on the coin. But there just isn’t room in the Bayesian framework to do this. The probability function must output some number, and that number will sanction a particular set of bets as desirable.