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"As pointed out in signal detection theory accuracy can never be perfect and you must trade off between "missing" patterns that exist and "detecting" patterns where none exist. In a general abstract environment one can find an "optimal" trade-off between these types of errors, but in the real world, things are very different. The consequences for a missed pattern are usually much worse than the consequences for detecting a false pattern. If one thinks one sees something coming at ones head, it is better to duck and be wrong, than not duck and be wrong. This difference in trade-off means that there is strong evolutionary pressure to bias processing in favor of detection, and not worry as much about false positives." http://rationalwiki.org/wiki/Pattern_recognition

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