Every night after entering his data, the player cranks up his trusty computer analysis program. A report is derived; he finds out for example, that patterns of seven bank decisions in row are 6 standard deviations behind in occurrence in "his game". The pro player has a coveted strategy for playing the deviations in his game. He knows the deviation IS going to come back to equipartition eventually. IT ALWAYS DOES, eventually! Don't run to the casino yet. The big question is how long absent will the pattern remain before starting to come back into the normal distribution model of the game?
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