People violate expected utility theory and this has been traditionally modeled by augmenting its weight-and-add framework by nonlinear transformations of values and probabilities. Yet individuals often use one-reason decision-making when making court decisions or choosing cellular phones, and institutions do the same when creating rules for traffic safety or fair play in sports. We analyze a model of one-reason decision-making, the priority heuristic, and show that it simultaneously implies common consequence effects, common ratio effects, reflection effects, and the fourfold pattern of risk attitude. The preferences represented by the priority heuristic satisfy some standard axioms. This work may provide the basis for a new look at bounded rationality.Keywords Decision making . EVT . EUT . St. Petersburg Paradox Most descriptive theories of decision-making-and certainly those that are variants of expected value theory (EVT) or expected utility theory (EUT)-make the following psychological assumptions:1. Independent evaluations: Every option has a value that is measured by a single number (options are not evaluated relative to other options). 2. Exhaustive search: The value of an option is calculated by using all available information (for gambles, the probabilities and values for all possible outcomes). 3. Trade-offs: To calculate an option's value, low values on one attribute (e.g., a value) can be compensated by high values on another attribute (e.g., a probability).EVT makes two additional assumptions for calculating an option's value:4. Objective probabilities: The probabilities used to calculate an option's value are equal to the objective probabilities (the objective probabilities are not transformed in a nonlinear way).