Very nice and thought provocating topic. Law of large numbers talk of likelihood of a large sample to be closer to mean, in each bet. If you say, toss a coin 10 times, all heads could happen but can it happen 10x10 times? Answer is, the sequential probability of such events are so remote it could take gazillions of tosses to find one such sample. Realistically, we can safely presume that such things can't happen. Larger the data, closer we get to mean. It can only be proved untrue with some physical bias but never in a truly random outcome.
There is a bigger question of how to utilize even if law of large numbers is eternally a truth. There are very few strategy meant to work for long run and most known ones are proven failures by one reason or other.
There is a bigger question of how to utilize even if law of large numbers is eternally a truth. There are very few strategy meant to work for long run and most known ones are proven failures by one reason or other.