The phrase "All models are wrong, but some are useful" is a concept in statistics and scientific modeling that highlights the inherent limitations of models. It was popularized by the statistician George E.P. Box. The idea behind this statement is that no model can perfectly capture reality; every model simplifies complex systems and makes assumptions that can lead to inaccuracies. However, despite their imperfections, models can still provide valuable insights, help us understand complex phenomena, and aid in decision-making.
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