I saw this in the Accuraterip documentation:
"For example 100 people rip Madonnas latest CD, of those 100 twenty have errors, the other 80 all have identical rips. If you were to rip your Madonna CD there are 2 possibilities, AccurateRip would report that 80 other people agree with your rip (confidence of 80), or that 80 disagree if your had errors. What are the odds of 80 people agreeing with your rip, but they really had a bad rip (ie those 80 people had bad rips which happened to give the same check code)? the odds are 4 billion x 4 billion (repeated 80 times), an astronomical number. If more than 3 people agree with your rip, it is 100% certainty it is accurate."
Can anyone explain the math behind that 4 billion x 4 billion x 80 number?
"For example 100 people rip Madonnas latest CD, of those 100 twenty have errors, the other 80 all have identical rips. If you were to rip your Madonna CD there are 2 possibilities, AccurateRip would report that 80 other people agree with your rip (confidence of 80), or that 80 disagree if your had errors. What are the odds of 80 people agreeing with your rip, but they really had a bad rip (ie those 80 people had bad rips which happened to give the same check code)? the odds are 4 billion x 4 billion (repeated 80 times), an astronomical number. If more than 3 people agree with your rip, it is 100% certainty it is accurate."
Can anyone explain the math behind that 4 billion x 4 billion x 80 number?
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