Patterns that are consistent and alter slowly, moderately, predictably over time are utterly and categorically different than patterns that are fairly consistent until they're not, yet you'll still see experts arguing this is not so whenever they're on their home turf.
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No matter how much model uncertainty they have built in, they'll insist the model is always right.
(Until it isn't.)
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These are hardly especially deep or penetrating insights, but that's part of what makes it so fascinating that they're constantly ignored.