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 Originally Posted by dev
I don't know if we can go with a sampling bias here. We have large sample sets, all with similar results, and no reason to believe that a larger sample would change anything.
I'm not saying a larger database would change anything... let me try to restate... it shouldn't surprise us that the players with the fewest number of hands are the biggest losers, b/c most players only stop playing after a loss. These 5,099 players that played 25 hands or less and lost 32% of the total $ might have played hundreds or thousands of hands that aren't in this database. All these numbers show, imo, is that players tend to stop playing after a loss. To draw further conclusions, we would need a database that included ALL of every player's hands, starting from their first deposit.
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