Law of Large Numbers

A statistical property of random variables.   The law states that the more times you draw or generate a random variable, the more likely the results you generate will resemble the true characteristics of the variable.  For example, a fair coin, flipped once, will show either a 100% chance of either heads or tails.  If the same coin is flipped 1,000 times, the observed percentage of outcomes that are heads has a 96% probability of falling between 47% and 53%.  The range around the true probability of 50% gets much narrower the more times the coin is flipped.