Confounding Variable
A third variable in experimental design that simultaneously influences both the independent and dependent variables, preventing accurate identification of causal relationships. Confounding variables are a common source of design flaws in controlled experiments such as A/B tests.
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A confounding variable refers to a situation where an experiment simultaneously changes multiple conditions or has uncontrolled third-party factors, making it impossible to determine which variable caused the result.
Confounded experiments often look no different from rigorous ones—the data is equally clean and the conclusions equally clear—but the causal inference is incorrect.
A confounding variable refers to a situation where, when A and B both rise together, a third factor C may have simultaneously caused both, rather than A having caused B.
All Facts (3)
A confounding variable refers to a situation where an experiment simultaneously changes multiple conditions or has uncontrolled third-party factors, making it impossible to determine which variable caused the result.
50%UnverifiedConfounded experiments often look no different from rigorous ones—the data is equally clean and the conclusions equally clear—but the causal inference is incorrect.
50%UnverifiedA confounding variable refers to a situation where, when A and B both rise together, a third factor C may have simultaneously caused both, rather than A having caused B.
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