BETTER PRIORS FOR BAYESIAN BETTORS

Consider the game where a Bayesian investor places a series of bets on the outcomes of a sequence of tosses of a coin with odds set by a Bayesian bookie. It is shown that at each toss the investor can have non-negative expected winnings even though after many tosses the two posterior distributions are nearly equivalent.