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Error rate differences

Posted By: Maik Stiebler
Date: Friday, 12 November 2010, at 6:05 a.m.

In Response To: Error rate differences (Timothy Chow)

If, when you play matches against me, I blunder away 15% MWC per match compared to perfect play on average, and you blunder away 5% MWC per match compared to perfect play on average, you win 60% of the matches. One way to see that is via the unbiasedness of luck adjusted results. I'm in a hurry so I will just give a sketch of the argument: You can derive a perfect measure of luck from perfect evals in the same way that it is done with the imperfect evals of real bots. Convince yourself by induction that if you use that perfect measure of luck, your current theoretical mwc at any point in the match is 50% + cumulative luck so far (cl) + difference in cumulative errors (dce) so far. Thus, when you win, cl is 100% - (50% + dce) and the luck adjusted result (lar) is 50%+dce. When you lose, cl is 0% - (50% + dce) and the lar is also 50%+dce. As lar is always 50%+dce, average lar in the example is 60%. As lar is unbiased, the average real result is also 60%.

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