**Regression to the Mean** is a phenomenon in which high (or low) results from a process are typically followed by results which are closer to the "average" performance. In any process that is sufficiently random, this result will happen more often than not. This is a mathematical _fact_. Also - Daniel Kahneman would argue that **most things** are sufficiently random. This is why James Clear says [[Trajectory Matters More Than Results]]. [[Compare Yourself to Your Average]] is based around third as well. # Examples This could be: - A stock price that's high right now - A stock broker who had a good year - A basketball player who made > 50% from beyond the arc in a game This could _also_ be: - A very smart wife marrying a less smart husband - Here you're sampling 2 people - if the [[Correlation Coefficient]] of intelligence between spouses are less than 1 (which, they are) Although the second examples require a bit more mental work to see the logic. **** # More ## Source - [[Thinking Fast and Slow]] ## Related