Correlation Does Not Imply Causation
The text recounts the historical debate over whether smoking causes lung cancer, illustrating how early correlational evidence was disputed by skeptics who demanded more definitive studies before concluding causation. Establishing causality requires multiple lines of evidence (dose-response, consistency, etc.).
THE IDEA
Medical Association
, fired back just weeks later in a JAMA editorial: “ A number of authorities who have examined the same evidence cited by Dr. Burney do not agree with his conclusions. Neither the proponents nor the opponents of the smoking theory have sufficient evidence to warrant the assumption of an all-or-none authoritative position. Until definitive studies are forthcoming, the physician can fulfill his responsibility by watching the situation closely, keeping courant of the facts, and advising his patients on the basis of his appraisal of those facts.” Talbott, like Fisher before him, was accusing Burney and those who agreed with him of being, scientifically speaking, out in front of their skis.
Just how fierce the dispute remained, even within the scientific establishment, is made clear by the remarkable work of historian of medicine Jon Harkness. His exhaustive archival research has shown that the statement signed by the surgeon general was in fact written by a large group of scientists at the Public Health Service, with Burney himself having little direct involvement. As for Talbott’s response, that too, was ghostwritten—by a rival group of PHS researchers! What looked like a tussle between government officialdom and the medical establishment was in fact a scientific in-fight projected onto a public screen.
We know how this story ends. Burney’s successor as surgeon general, Luther Terry, convened a blue-ribbon commission on smoking and health in the early 1960s, and in January 1964, to nationwide press coverage, announced their findings in terms that made Burney look timid:
In view of the continuing and mounting evidence from many sources, it is the judgment of the Committee that cigarette smoking contributes substantially to mortality from certain specific diseases and to the overall death rate. . . . Cigarette smoking is a health hazard of sufficient importance in the United States to warrant appropriate remedial action
[boldface from the original report].
What had changed? By 1964, the association between smoking and cancer had appeared consistently across study after study. Heavier smokers suffered more cancer than lighter smokers, and cancer was most likely at the point of contact between tobacco and human tissue; cigarette smokers got more lung cancer, pipe smokers more lip cancer. Ex-smokers were less prone to cancer than smokers who kept up the habit. All these factors combined to lead the surgeon general’s committee to the conclusion that smoking was not just correlated with lung cancer, but caused lung cancer, and that efforts to reduce tobacco consumption would be likely to lengthen American lives.
When to use it
Evaluating health claims in news articles or advertisements that suggest a correlation implies a cause.
Assessing scientific studies in medicine or public health to determine if a causal link is justified.
Making data-driven decisions in business, such as whether a marketing campaign caused an increase in sales or if other factors are responsible.
Understanding historical scientific controversies where early correlational evidence was disputed before causation was established.
FROM THEORY TO EVERYDAY LIFE
In practice
The Smoking-Lung Cancer Debate
In the 1950s and 1960s, a fierce debate raged over whether smoking causes lung cancer. Early correlational studies showed a link, but critics like John Talbott insisted that correlation does not prove causation and called for more definitive studies. The eventual Surgeon General's report in 1964 relied on consistent evidence across many studies, dose-response relationships, and other factors to conclude that smoking is a causal factor. Scientists and the public can misinterpret correlation as causation; rigorous evidence is needed before drawing conclusions.
A MOMENT TO REFLECT
Put it to work.
How can you distinguish between a mere correlation and a causal relationship in your own observations or data?
What additional evidence would you need to be convinced that a correlation you observe actually indicates causation?
Why might experts disagree on the interpretation of the same correlational evidence, as seen in the smoking debate?
CONTINUE THE CONVERSATION
Source texts
- How Not to Be Wrong The Power of Mathematical Thinking (Ellenberg, Jordan)