👉 Failure math refers to the set of mathematical techniques and concepts designed to analyze and understand situations where a problem or system fails to meet its intended goals, often due to insufficient information, incorrect assumptions, or inherent limitations in the model. It involves identifying the conditions under which a solution or process breaks down, examining the failure modes, and developing strategies to prevent or mitigate these failures. This field is crucial in various domains, including engineering, economics, and computer science, where understanding and addressing failure modes can lead to more robust and reliable systems. Failure math often employs probabilistic methods, statistical analysis, and simulation techniques to model and predict failures, helping to design systems that are resilient to errors and uncertainties.
