@8708
"You also have a choice of fitting a Bernoulli distribution..."
++ I chose the Poisson distribution because it is a tail-end approximation of the binomial distribution, suitable for rare events.
I arrive for the 2024 Toronto Candidates' Tournament at average 1.1 error/game:
0 error: 18 games
1 error: 21 games
2 errors: 12 games
3 errors: 4 games
4 errors: 1 game
Please feel free to propose any other distribution you believe more suitable and state the distribution of errors and the average number of error/game.
@8735
"I discuss what you" ++ Not always. I explain the 106 draws out of 106 games by an error distribution 106-0-0-0-0. You proposed 105-0-1-0-0 as viable too and I cannot dismiss that.
Even 104-0-2-0-0 could be viable. However, given the redundancy in the ways to draw in the 106 games, it would end up like 69-0-37-0-0. That is not viable.
Thus Chess is a draw and we have over 100 perfect games that show how to draw.