Independent Jeffreys priors and the two independent binomial distribution likelihood factors give, by Beta-binomial conjugacy,The Bayesian posteriors remain independent because each observation factor involves only its own probability. Their posterior means are respectively and . Notice that is the probability of saying milk first when tea was first, rather than the probability of a correct tea identification.
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