#1
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Three professional players and win rates
Suppose there are three professional players and each of
them meticulously records their yearly poker results. In the year 2002, Al had a bigger hourly rate than Bob who in turn had a bigger hourly rate than Carl. The same will be true of 2003. Would you conclude Al had a bigger hourly rate than Carl for the two years? By hourly rate, I simply mean the total dollars won divided by the total hours played for the year and not what the "theoretical" or actual rate would be in the long run. Answer to be posted after Xmas. Happy holidays, everyone! |
#2
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Re: Three professional players and win rates
(Answer in white below)
<font color="white">No. You have only half the data you need to determine this.</font> |
#3
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Re: Three professional players and win rates
No, Lets say for example that in year 1
Al averages $10/hour over 1000 hours Bob avgs $9/hour over 500 hours and Carl avgs $8/hour over 1 hour in year 2 they all improve Al wins $30/hour over 1 hour Bob wins $29/hour over 500 hours and Carl wins $28 over 1000 hours Over the 2 years Al averages [1000(10)+30(1)]/1001= $10.02/hour Bob = [500(9)+500(29)]/1000=$18.5/hour Carl = [1(8)+1000(28)]/1001=$27.98/hour |
#4
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Re: Three professional players and win rates
Right. One can't conclusively say just because player A's
win rate has been higher than player B's win rate every year that A has a higher win rate. And obviously you could not even conclude that A even played any better! Good enough counterexample. |
#5
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Re: Three professional players and win rates
This is an example of Simpson's Paradox, which is pretty neat. It's pretty powerful because it allows you to manipulate data. For example, one drug can claim that their drug works better in men and in women, while another can claim that theirs works better in the population as a whole, and both can be correct.
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