Comment by konschubert

When studying statistics, I never understood the apparent conflict between frequentism and bayesianism.

To me, they seemed like complementary tools, each with their own strengths and weaknesses.

You can use one or the other depending on what your goal is. Do you want to figure out how much you should believe something?

Or are you trying to figure out how compatible a hypothesis is with reality? In the first case, go bayesian, in the second, frequentist.