In our lab cases, we want to know what the ground truth is, right? So we set things up so that we have some basis for saying what's most likely or what's not. But in most real-world cases, we don't have the ability to cleanly say when people are getting things right and when they're getting things wrong. And so what we could be seeing in the lab is the overgeneralization of a strategy that actually maybe does make a lot of sense in a lot of real- world cases.

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