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But results between me and Andreas that would occur every 18 trillion doubles are proof enough for me. There is absolutely no way that this game is fair. This is not a freak sample - this is the result of proper testing |
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This could be a very interesting thread if more testers post. Doesn't look good so far IMO.
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A man comes up to you and tells you he is a professional bowler. You don't believe him, and he bowls for you to prove it. He throws a gutter ball. And then another. At this point, you should be absolutely certain that he's not a professional bowler, because the likelihood that a professional bowler would throw two consecutive gutter balls is almost nonexistant. That was two trials. The 1962 Mets played 160 games, and finished with a record of 40-120. You didn't need 100,000 trials to know that they were one of the worst baseball teams in history; you only needed 160. WoO needed only 332 trials to prove that CasinoBar was dealing seconds. The reason some things need 100,000 trials is because they happen so rarely, you need to play massive amounts of hands to get enough trials; or because the difference in EV is so small, you need to play enough hands to kill the variance. Neither is the case in this: the gaps are enormous, and convincing, and damning. |
| The Following User Says Thank You to jsp377 For This Useful Post: | ||
zaphod42 (13th May 2006) | ||
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In many events, statistical proof can be obtained with a relatively small sample size. For example say I run a coin-flip game. I rig it so that it's not 50/50, but instead its 49.9999/50.0001 in my favor. In this case someone will need a very large sample size to prove that the game is rigged. Now say I rig it so that it is 20/80 in my favor. Now someone will need a very small sample to prove it's rigged. Something in the order of 50 tries should be more than enough. In the case of the EH doubling game the statistical proof is overwhelming, especially when you factor in the results of other forum members who tested. It is flat out impossible that this game represent an honest representation of a doubling game, and any mathematician will agree. |
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From what I've seen so far, the "proof" is looking like it may have some cause for further investigation, but I think you need to move away from the argument about what is/isn't constituting proof and get more results in. Ultimately, proof or not, it will have influence. You're just in danger of deflecting the point of the thread, which would be a shame.
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So far we have 18 wins 27 losses 25 wins 65 losses 40 wins 55 losses and 84 wins 151 losses Taken together, that is 167 wins, 298 losses The chances of that happening from a fair game is 1.5 billion to one There is not even one sample where wins are close to losses 1.5 billion to one is enough to convince anyone. |
| The Following User Says Thank You to thelawnet For This Useful Post: | ||
nektar4d (30th April 2006) | ||
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Fair enough. I'll leave you to it then TLN ![]()
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