 Finally, Good’s principle states that a decision-maker facing a single-person decision-problem cannot be worse (in expectation) from receiving free information. Exceptions are known in game theory (Osborne 2003: 283), however, that involve asymmetric information among two or more decision-makers. But there is also an exception for single-person decision-problems involving indeterminate or imprecise probabilities (Pedersen &amp; Wheeler 2015). The point is that Good’s principle is not a fundamental principle of probabilistic methods, but instead is a specific result that holds for the canonical theory of single-person decision-making with determinate probabilities.