 One well recognised decision-modelling requirement for Savage’s theory is that outcomes be maximally specific in every way that matters for their evaluation. If this were not the case, the axiom of State Neutrality, for instance, would be a very implausible rationality constraint. Suppose we are, for example, wondering whether to buy cocoa or lemonade for the weekend, and assume that how good we find each option depends on what the weather will be like. Then we need to describe the outcomes such that they include the state of the weather. For if we do not, the desirability of the outcomes will depend on what state is actual. Since lemonade is, let us suppose, better on hot days than cold, an outcome like “I drink lemonade this weekend” would be more or less desirable depending on whether it occurs in a state where it is hot or cold. This would be contrary to the axiom of State Neutrality. Therefore, the appropriate outcomes in this case are those of the form “I drink lemonade this weekend in hot weather”. (Of course, this outcome must be split into even more fine-grained outcomes if there are yet further features that would affect the choice at hand, such as sharing the drink with a friend who loves lemonade versus sharing the drink with a friend who loves hot cocoa, and so on.)