I am drafting a literature review on a current public health issue where data are confounded:
What are common historical case-studies that are used in public health/epidemiology education where invalid or confounded relationships or inferences were intentionally or erroneously employed in public health policy and legislation?
The automobile fatality surge of the 1960s and subsequent evidence-based, government-led study which determined seatbelts and eventually airbags should be required by law is a great example of HOW public health policy should be driven by statistically powerful inferences and models.
I am looking more for examples of cases of the opposite type (bad science to make policy hastily). However, if nothing else I would like to learn of more cases similar to the previous example of powerful studies for successful public health benefit.
I want to use these as examples to demonstrate how evidence-based statistical public health research is important to the making of policy.