I'm reading a paper called 'Reasonable Doubt and Presumtion of Innocence: The Case of the Bayesian Juror' for a Physics/Policy course I'm taking, and am a bit confused by something in it. Note here that I'm quite new to Bayesianism and do not claim to understand in entirity how it all works.
The claim made is that in pure Bayesianism, all probabilities are subjective (a probability of *you*). As I had understood from initial readings on Bayesianism, it is supposed to be entirely objective (ie you look at the thing you want to determine the probability of, you look at the evidence you have available, and you thusly determine the probability of the thing). As I understand it, this makes Bayesianism objective, at least within the scope of the Bayesian's knowledge.
Is my understanding wrong somewhere? Could some kind and enlightened souls please explain this to me?
There's no evidence of any kind that doesn't require a subject to reason or observe. That should suggest that "no subjects involved" is too high a bar for objectivity, and in order to have a non-empty set of objective facts, you need some other criterion , such as "multiple subjects who are out of communication are able to converge".
Perhaps, but I think that kind of use of the word "objective" only makes sense in a context where we can reclaim it from it's normal meaning. I realize such a thing has happened within Bayesianism, but it causes significant confusion for the uninitiated reader.