3 ms·
I would imagine for the same reason as wearing two watches doesn't improve your knowledge of the current time. You're more likely to be within the largest margi
by jstclair 15y ago
I would imagine for the same reason as wearing two watches doesn't improve your knowledge of the current time. You're more likely to be within the largest margin of error (i.e., the latest time on either of the watches is probably no later than the current time), but what can you say about the earliest time? Since it's equally likely to be correct on either watch, the only thing you can do is average it. But in the case that one of the watches is actually correct, you've just introduced error.
- 0x12 15y agoSo, if I understand you correctly, the average error decreases but the best error actually increases?
- Alex3917 15y agoI don't know the explanation, but I know this comes up in biometrics a lot. E.g. using fingerprints + facial geometry to identify someone is much less accurate than using either one or the other. Bruce Schneier has written about this in his book Beyond Fear, and I'm sure there are explanations online somewhere.
- Symmetry 15y agoIf you expect that more information will decrease performance, your algorithms are seriously borked.