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The phrase "all models are wrong" is correct and usable in written English.
It is often used in discussions about statistics, modeling, or scientific theories to emphasize that no model can perfectly represent reality.
Example: "In the field of economics, it's important to remember that all models are wrong; they are simplifications of complex systems."
Alternatives: "no model is perfect" or "every model has its flaws".
Exact(40)
"All models are wrong".
He wrote that "all models are wrong".
"All models are wrong, but some are useful.
Cohen likes to quote the statistician George E. P. Box: "All models are wrong, but some are useful".
For instance, a cryptic e-mail apparently sent by Dr. Jones, a researcher at East Anglia, said, "Basic problem is that all models are wrong — not got enough middle and low level clouds".
The influential British statistician (and chemist) George Box — a pioneer in the areas of quality control, time series analysis, design of experiments and Bayesian inference — is noted also for his warning about models: all models are wrong, but some are useful.
Similar(18)
There is an oft-quoted phrase from George EP Box, a British statistician, stating that 'all models are wrong, but some are useful'.
The idea that the best models never fit all the data was summed up 30 years ago by the statistician George Box when he said, 'all models are wrong; some are useful' [ 2].
Carter and Harris also try to tell New York Post readers that "all CO2-based climate models" are wrong because they have not accurately reproduced temperature over the last 15 years or so.
Not because the physical models are wrong.
That is why their computer models are wrong.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com