I think this is related to the bayesian/frequentist approach to statistics. Bayesian statistics revolves around incorporating knowledge to update beliefs and probabilities express degrees of belief. IE, bayesian probability is the logic of uncertainty and how we should reason with imperfect information.

The most famous example of this is the "draw a ball from an urn" example, and how we frequently day we "shake" the urn after we add the balls to "randomize" it. There is a lot of wordplay going on in stats to effectively forget certain information so that the problem I'd workable