👉 Judgment math, or decision-making under uncertainty, involves evaluating choices when outcomes are not guaranteed. It combines probability theory and statistical analysis to assess risks and benefits, helping individuals or organizations make informed decisions. This process typically starts with identifying potential outcomes and their associated probabilities, then weighing these against the utility or value of each outcome. By quantifying uncertainty, judgment math enables more rational decision-making, balancing potential gains against risks to optimize choices in complex, unpredictable scenarios.
