If you don’t want the choice of preference to turn out bad for you, choose good preference ;-) There is no freedom in choosing your preference, as the “choice” is itself a decision-concept, defined in terms of preference, and can’t be a party to the definition of preference. When you are speaking of a particular choice of preference being bad or foolish, you are judging this choice from the reference frame of some other preference, while with preference as foundation of decision-making, you can’t go through this step. It really is that arbitrary. See also: Priors as Mathematical Objects, Probability is Subjectively Objective.
You are confusing probability space and its prior (the fundamental structure that bind the rest together) with random variables and their probability distributions (things that are based on probability space and that “interact” with each other through the definition in terms of the common probability space, restricted to common events). Informally, when you update a random variable given evidence (event) X, it means that you recalculate the probability distribution of that variable only based on the remaining elements of the probability space within event X. Since this can often be done using other probability distributions of various variables lying around, you don’t always see the probability space explicitly.
If you don’t want the choice of preference to turn out bad for you, choose good preference ;-) There is no freedom in choosing your preference, as the “choice” is itself a decision-concept, defined in terms of preference, and can’t be a party to the definition of preference. When you are speaking of a particular choice of preference being bad or foolish, you are judging this choice from the reference frame of some other preference, while with preference as foundation of decision-making, you can’t go through this step. It really is that arbitrary. See also: Priors as Mathematical Objects, Probability is Subjectively Objective.
You are confusing probability space and its prior (the fundamental structure that bind the rest together) with random variables and their probability distributions (things that are based on probability space and that “interact” with each other through the definition in terms of the common probability space, restricted to common events). Informally, when you update a random variable given evidence (event) X, it means that you recalculate the probability distribution of that variable only based on the remaining elements of the probability space within event X. Since this can often be done using other probability distributions of various variables lying around, you don’t always see the probability space explicitly.