But this isn't actually a criticism of Bayes at all. Yes, the result depends on your prior. But the result always depends on your preconceptions -- even in freq

But this isn't actually a criticism of Bayes at all. Yes, the result depends on your prior. But the result always depends on your preconceptions -- even in frequentist statistics, where it determines which statistical tests you use and which hypotheses you test and what p-value cutoff is reasonable. It's better to have this up front. Or, you can publish Bayesian update factors, which are prior-independent.