What do you mean by “the Bayesian Conditionalization thing” in this context? (Just epistemically speaking, standard Conditionalization is inadequate for dealing with cases of awareness growth. Suppose, for example, that one was aware of propositions {X, Y}, and that this set later expands to {X, Y, Z}. Before this expansion, one had a credence P(X ∨ Y) = 1, meaning Conditionalization recommends remaining certain in X ∨ Y; i.e., one is only permitted to place a credence P(Z) = 0. Maybe you are referring to something like Reverse Bayesianism?)
I just meant standard conditionalization, which I agree is inadequate for cases of awareness growth. I wasn’t making a particularly new point, just commenting aloud as I read along.
What do you mean by “the Bayesian Conditionalization thing” in this context? (Just epistemically speaking, standard Conditionalization is inadequate for dealing with cases of awareness growth. Suppose, for example, that one was aware of propositions {X, Y}, and that this set later expands to {X, Y, Z}. Before this expansion, one had a credence P(X ∨ Y) = 1, meaning Conditionalization recommends remaining certain in X ∨ Y; i.e., one is only permitted to place a credence P(Z) = 0. Maybe you are referring to something like Reverse Bayesianism?)
I just meant standard conditionalization, which I agree is inadequate for cases of awareness growth. I wasn’t making a particularly new point, just commenting aloud as I read along.