Which statement does not accurately distinguish correlation from causation?

• A. Correlation and causation are the same concept.
• B. Correlation implies causation.
• C. Correlation does not imply causation; causation requires evidence of a causal mechanism.
• D. Causation requires evidence of a causal mechanism.

Answer: (C)

Distinguishing correlation from causation means recognizing that two things can move together without one causing the other, and that proving causation usually requires stronger evidence than a simple association. The best statement captures both ideas: it asserts that correlation does not imply causation, and that establishing causation typically involves evidence of a causal mechanism that explains how one variable could produce the other. This reflects the standard approach in science: associations invite questions about possible causes, but a mechanism (or experimental proof that rules out other explanations) is needed to substantiate a causal claim.

The other statements miss the distinction in different ways. Saying correlation and causation are the same treats them as identical concepts. Saying correlation implies causation mistakenly treats association as proof of a cause. The remaining option—that causation requires evidence of a causal mechanism—is arguably too strict in all cases, since causal conclusions can be supported by strong experimental evidence even when the exact mechanism isn’t fully known.