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Message: [QUOTE="joeydy123, post: 725749, member: 34685"] To get back to the original question, you are correct in that ALL players will either win more or less than their actual statistical expectation. However, the larger the sample size, the more their actual winnings/losses will trend towards their actual statistical expectation. For example, if we play a simple coin tossing game where we each bet $1 on heads or tails, after 100,000 tosses it is incredibly unlikely that we are going to be even – one of us will have earned more and the other will have lost more that we would have expected. In this case, if I win 49.5% of the time instead of the expected 50%, I will be down $500. What is key though, as Zach has said, is that on the next toss I still have exactly a 50% change of winning. However, if I find a fish that is willing to give me 1.5:1 odds on a coin toss and I play a sufficient amount of times I am essentially guaranteed to be ahead (but still unlikely to ever be exactly the amount ahead as I would expect) Example 2: I bet $10 into a pot of $10 with a pair of aces Villain calls with a flush draw (he is all in, so this ends the betting on the hand) My expectation for the bet is $14 (win $20 80% of the time and lose $10 20% of the time) His expectation for the bet is -$4 (win $20 20% of the time and lose $10 80% of the time) However, everytime we do this one of us will do better than expected and the other will do worse than expected. The more we play, the closer the results will get to the expected 80% / 20% but they are unlikely to ever be exactly right. Sorry, got a bit carried away with this. To answer the question, yes some people do lose more than they should, but it will be insignificant over a sufficient number of hands with responsible bankroll management. [/QUOTE]

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