3 definitions
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Big data (n.) makes models unnecessary: given enough of it, the numbers speak for themselves.
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Correlation (n.) replaces causality in the data age, because who knows why people do what they do?
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Theory (n.) is a stopgap for missing data; with enough data, the numbers speak for themselves.