 Perhaps there is always a way to contrive decision models such that acts are intuitively probabilistically independent of states. But therein lies the more serious problem. Recall that Savage was trying to formulate a way of determining a rational agent’s beliefs from her preferences over acts, such that the beliefs can ultimately be represented by a probability function. If we are interested in real-world decisions, then the acts in question ought to be recognisable options for the agent (which we have seen is questionable). Moreover, now we see that one of Savage’s rationality constraints on preference—the Sure Thing Principle—is plausible only if the modelled acts are probabilistically independent of the states. In other words, this independence must be built into the decision model if it is to facilitate appropriate measures of belief and desire. But this is to assume that we already have important information about the beliefs of the agent whose attitudes we are trying to represent; namely what state-partitions she considers probabilistically independent of her acts.