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    The Bayesian method requires the assignment of prior prob... — Carmelics
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    Challenges→The Williams-Stove argument does not provide an alternative method of inverting probabilities that bypasses the problems faced by Bayesians

    The Bayesian method requires the assignment of prior probabilities

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    Drawing conclusions about the probability of a population frequency given a samp...The Williams-Stove argument does not provide an alternative method of inverting ...The Williams-Stove argument's final step is invalid, so it does not successfully...

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    The more problematic step in the argument is the final step, which takes us from the claim that samples match their populations with high probability to the claim that having seen a particular sample frequency, the population from which the sample is drawn has frequency close to the sample frequency with high probability. The problem here is a subtle shift in what is meant by “high probability”, which has formed the basis of a common misreading of Bernouilli’s theorem. Hacking (1975: 156–59) put

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