A good example. 10 million hands of FPDB has a 2SD of about 17,000 bets. A proponent of the percentage deviation method would say that's 17,000/10,000,000 = 0.17%, which is declared to be "close". I would point out that 17,000 bets on a dollar machine represents $85,000 and that plus or minus $85,000 does not represent "close" in my book. Maybe if I had a billion to play with, it would be "close", but personally, I can tell the difference between +$85,000 and -$85,000. If $85,000 fell out of my pocket, I would definitely notice the loss. If you think plus or minus $85,000 is "close", I would like to be your personal shopper.
Comparison:
Method 1: The "close" method: Assume 10,000,000 hands is enough to assume that results should be "close" to the average. In this case, the average result is about +17,000 bets, so you should assume that your results should be "close" to this result. If they aren't you must have done something wrong.
Method 2: What the math actually says: In this case, if your starting bankroll is sufficient and you don't make significant playing errors, you can expect to get a final result somewhere between 0 and +34,000 bets about 95% of the time. In dollar terms this is of course no where near "close" to the average result of +17,000 bets.
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--- In vpFREE@yahoogroups.com, "johnnyzee48127" <greeklandjohnny@...> wrote:
I quoted a number for playing 10 million hands of 10/7 double bonus. You can lose a lot of money even though your percentage deviation is small.