This question is specifically in reference to how statistics apply to Catan.
For background, two fair dice are rolled and rolling a 7 is a bad event.
Given that the average number of turns for a game of catan is 80 and that means CLT can be applied, does it make sense to expect a 7 more and more as time goes on?
There's a similar question here (Does 10 heads in a row increase the chance of the next toss being a tail?) so my curiosity is based on a few assumptions.
Given that the distribution of 7 is the most likely, even though each roll is independent and not based on the history of the past rolls, one should expect a 7 to appear more often in the future rolls.
ex - if there are an average of 40 rolls in the game and ~6 of those rolls should be 7, if and it is currently roll 25, there are 6 7's expected in the remaining 15 turns. Thus there is a larger number of 7's to be rolled to maintain the distribution and given the limited 15 spaces, we should expect a 7 to be rolled before we eventually roll a non 7.
Is this an incorrect approach and if so why? It appears that this is a weird spin on the monty hall problem with a potential combination of gambler's fallacy?
As a follow up, can we used expected distribution to predict future events accurately when those events are independent?