Answer
The Law of Large Numbers, a fundamental theorem in probability theory, asserts that as the number of independent experiments increases, the observed average of the outcomes approaches the expected value. This principle, propounded by Jacob Bernoulli, holds that with a sufficiently large sample size, the deviation between the empirical mean and Theoretical mean diminishes, ensuring reliable predictions based on observed frequencies.