A scientist claims correlation equals causation. What is the proper critique?

• A. Correlation does imply causation; evidence is sufficient.
• B. Causation can be inferred from correlation without further testing.
• C. Correlation does not imply causation; further evidence required.
• D. Correlation is irrelevant to causation.

Answer: (C)

Understanding the relationship between correlation and causation is crucial: a statistical association between two things does not prove that one causes the other. The proper critique is that correlation does not imply causation; we need additional evidence to establish causality, such as showing temporality (the cause comes before the effect), ruling out third variables that could drive both, and ideally using experimental or robust observational methods to demonstrate a causal link. Without that, the observed association could be due to a confounding factor, reverse causation, or mere coincidence. So claiming that correlation equals causation is unfounded. The other ideas fail because correlation by itself cannot prove causality, and treating it as irrelevant ignores the informative link correlations provide about relationships, while inferring causation directly from correlation ignores potential confounding or bidirectional effects.