I see so many people on here talk about the "long run" that it makes my head spin. If you're trying to determine whether your results are within normal parameters based on "the long run" can't we just consider anything having a margin of error of less than 1% the "long run" since it is very unlikely our results will be outside of this. To get a margin of error of less than 1% I think you need a sample size of like 50,000 or so. I forget what the exact # is but I would then conclude that whatever your results are after say 50,000 hands, it's safe to say if you took the average of those 50,000 hands, that's what you could expect to continue to do on average.