An overaggressive pattern recognizer coupled with an overaggressive double-checker (something that pattern matches for incorrect results) is still a stronger sy

An overaggressive pattern recognizer coupled with an overaggressive double-checker (something that pattern matches for incorrect results) is still a stronger system than the overaggressive pattern matcher alone. And depending on the shape of the data, it can be far more effective than a single statistically correct pattern recognizer. There's an interesting bit of math here that I'm not sure has been laid out in any accessible fashion yet, but I'd have to check around a bit. The human brain more or less works because of this - it overtrains on every signal it takes in, recognizing patterns that it has no statistical justification to pick out. But since it's simultaneously (over)training the process of rejecting those false patterns, it all works out okay, and it's actually far more effective than if it only made "proper" inferences from the data coming in, at least in the world we live in.