 Causal decision theory’s account of self-ratification may put aside Jeffrey’s method of evaluating a decision by evaluating the act it selects. Because the decision and the act differ, they may have different consequences. For example, a decision may fail to generate the act it selects. Hence, the decision’s expected utility may differ from the act’s expected utility. Driving through a flooded section of highway may have high expected utility because it minimizes travel time to one’s destination. However, the decision to drive through the flooded section may have low expected utility because for all one knows the water may be deep enough to swamp the car. Using an act’s expected utility to assess a decision to perform the act leads to faulty evaluations of decisions. It is better to evaluate a decision by comparing its expected utility to the expected utilities of rival decisions. A decision’s expected utility depends on the probability of its execution as well as the expected consequences of the act it selects.