Well, the key point here is whether the word "probability" can be applied to things which already happened but you don't know what exactly happened. You said
A quantitative thing that indicates how likely it is for an event to happen.
which implies that probabilities apply only to the future. The question is whether you can speak of probabilities as lack of knowledge about something which is already "fixed".
Another issue is that in your definition you just shifted the burden of work to the word "likely". What does it mean that an event is "likely" or "not likely" to happen?
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The binary thing isn't important, what's important is that there are real situations where likelihood based methods (including Bayes) don't work well (because by assumption there is only strong info on the part of the likelihood we aren't using in our functional, and the part of the likelihood we are using in our functional is very complicated).
I think my point wasn't so much the technical specifics of that example, but rather that these are the types of B vs F arguments that actually have something to say, rather than going around and around in circles. I had a rephrase of this example using causal language somewhere on LW (if that will help, not sure if it will).
Robins and Ritov have something of paper length, rather than blog post length if you are interested.
Wait, IlyaShipitser—I think you overestimate my knowledge of the field of statistics. From what it sounds like, there's an actual, quantitative difference between Bayesian and Frequentist methods. That is, in a given situation, the two will come to totally different results. Is this true?
I should have made it more clear that I don't care about some abstract philosophical difference if said difference doesn't mean there are different results (because those differences usually come down to a nonsensical distinction [à la free will]). I was under the impression that there is a claim that some interpretation of the philosophy will fruit different results—but I was missing it, because everything I've been introduced to seems to give the same answer.
Is it true that they're different methods that actually give different answers?