👉 Favor math, also known as the law of large numbers, is a fundamental principle in probability theory that describes how the average of many independent and identically distributed random variables converges to the expected value as the number of observations increases. In simpler terms, as you collect more data points, the observed average gets closer and closer to the true average or expected value of the population from which the data was drawn. This concept is crucial in statistics and probability as it underpins the reliability of statistical estimates and predictions, showing that with enough data, random fluctuations diminish, leading to more stable and accurate results.
