👉 The Pierre Math, also known as the Pierre-Simon Laplace's principle of stationary probability or the law of large numbers, is a fundamental concept in probability theory and statistics. It states that as the number of independent and identically distributed random variables increases, the average value of these variables converges to the expected value (mean) of each variable. In practical terms, this means that over a sufficiently large sample size, the observed frequency of an event will approximate its theoretical probability. This principle underpins many statistical methods and is crucial for understanding the behavior of random processes, especially in fields like physics, engineering, and economics.
