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Probability Judgment: Biases, Base Rates, and Bayesian Fixes
Human instinct routinely botches probability, from the gambler's fallacy to ignoring base rates. These reasons range from stubborn cognitive biases and how badly we encode randomness to systematic fixes like Bayesian updating that override the guesswork. You can decide which explanations and tools help you think more clearly about chance.

Interval Training's Fat Loss Edge: Missing Data and Cardio Evidence
The cardio-versus-intervals argument drags on partly because fat loss studies are riddled with dropouts and missing measurements. This take argues that when those gaps are filled with rigorous statistical methods instead of ignored, high intensity interval training pulls clearly ahead of steady state cardio. If you care what the evidence really says, the way researchers handle incomplete data should change which workout you trust.