Law of Large Numbers
Law of Large Numbers: A theorem that states that the probability of a certain outcome becomes more accurate the more one repeats the probability experiment.
For example, flip a coin a few times. At first, the proportion of heads to tails fluctuates wildly around .5, but as the number of flips increases, the proportion of heads evens out near .5.
