If a categorical distribution has k distinct values, traditional approaches will require O(k) work to pick an outcome with the correct probabilities. This algorithm uses conditional probability to construct a table which will yield outcomes with the correct probabilities. Table generation requires O(k) time, but subsequent generation is done in O(1) time.