Models supersede each other by explaining outliers in addition to everything else. But, the closer your model gets to entirely correct (explaining every instance of evidence), the more it will tend to dismiss freak occurrences of contrary evidence.
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I own that most of my experiences are not valid foundations of anything, but some are, even if this truth is inexplicable according to the models with the most verisimilitude.
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