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Reply to comment by [deleted] in [D] Critique of statistics research from machine learning perspectives (and vice versa)? by fromnighttilldawn
>All models are wrong is a common aphorism in statistics; it is often expanded as "All models are wrong, but some are useful". The aphorism acknowledges that statistical models always fall short of the complexities of reality but can still be useful nonetheless. The aphorism originally referred just to statistical models, but it is now sometimes used for scientific models in general. The aphorism is generally attributed to the statistician George Box.
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