> Bayes' rule is a great tool in many circumstances! But it has a great weakness: it requires a prior. That doesn't make it useless; few tools are useful in all circumstances. But requiring "everyone to use Bayes' rule, even though we have no reasonable way to find a good estimate of the priors," is unlikely to ever happen (and rightly so). The article rightly points out a serious problem with the typical application of statistics, but there needs to be a better justification for priors than is suggested in this article.

If you don't have good information on what your prior should be, you can just use a really weak prior. And you probably know more about your data than you think you do -- if you are doing counts, that leads you to a different prior than if you are doing things that can be in increments smaller than a single integer.