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In short, not entirely. Bayes' theorem helps when you have a correct model. People don't have access to truth or correct models. Generally people applying Bayesian methods are using cookie cutter formulas. These can't protect you from the many many ways one can muck up their data especially if you want your decisions and density intervals to be close to "right".



> when you have a correct model

I have a hunch that determining a correct model is like a science all on its own. Are there any good books/blog posts/etc on that?




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