The fact that people tend to specialize in one or the other does not mean that “the two have little to do with each other.” Likewise, there are physicists who spend a lot of time working in foundations and interpretation of QM, and others who spend their time applying it to solve problems in solid state physics, nuclear physics, etc. They’re working on different kinds of problems, but it’s absurd to say that the two have “little to do with each other.”
But do look at introductions to Bayesian statistics versus Bayesian epistemology. There does exist hardly any overlap. One thing they have in common is that they both agree that it makes sense to assign probabilities to hypotheses. But otherwise? I personally know quite a lot about Bayesian epistemology, but basically none of that appears to be of interest for Bayesian statisticians.
The fact that people tend to specialize in one or the other does not mean that “the two have little to do with each other.” Likewise, there are physicists who spend a lot of time working in foundations and interpretation of QM, and others who spend their time applying it to solve problems in solid state physics, nuclear physics, etc. They’re working on different kinds of problems, but it’s absurd to say that the two have “little to do with each other.”
But do look at introductions to Bayesian statistics versus Bayesian epistemology. There does exist hardly any overlap. One thing they have in common is that they both agree that it makes sense to assign probabilities to hypotheses. But otherwise? I personally know quite a lot about Bayesian epistemology, but basically none of that appears to be of interest for Bayesian statisticians.