Why do extreme results often look less extreme the next time?
Why do extreme results often look less extreme the next time? regression to the mean When outliers cool off, it is often statistics at work—not always a change in quality Framing: Why do extreme results often look less extreme the next time? In many cases, the answer is regression to the mean : unusually high or low outcomes often include a layer of luck, noise, timing, or one-off conditions that do not repeat. But there is an important counterpoint: not every move back toward average is regression to the mean. Sometimes the system itself changes—competition adapts, conditions shift, or behavior improves. Knowing the difference helps you avoid lazy conclusions and make sharper decisions in business, leadership, and everyday life. What does it mean when extreme results fade? Regression to the mean is the tendency for unusually high or low results to be followed by outcomes that are closer to average. That sounds abstract, but the pattern is familiar. A salesperson has a...