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#21
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[ QUOTE ] Coin flipping has finite variance. Poker's variance has infinite possibilities. [/ QUOTE ] Having infinite possibilities doesn't imply infinite variance. And the distribution of the outcome of a single hand in NLH has finite variance unless you assume two players have infinite bankrolls. Thus the outcome of n hands will converge to a normal distribution with large n. But this convergence is very much slower than most people suspect it to be. I.e. BB/100 is by no means normal, BB/1000 isn't, BB/1m probably comes close. [/ QUOTE ] Same problem here.....starts talking about variance then stumbles into the mean (average). |
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