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EDC Strategies

Science for Public Health Policy: Understanding correlation and causation

 

January 8, 2026
2:00 pm US Eastern Time

Coffee cup, glasses, and graph
marekuliasz via Shutterstock

NOTE: This webinar has been postponed. If you have already registered for the webinar, you will receive an email with an update once a new date has been scheduled.

Understanding whether one thing truly causes another is one of science’s greatest challenges—and one of its most important. In this webinar, Dr. David Kriebel, Dr. Ann Bauer and Dr. Nicholas Chartres will explore how scientists move beyond observing correlations to making stronger inferences about causation, especially when decisions about public health and the environment are at stake. Participants will learn why correlation alone—such as the classic example linking ice cream sales and drowning incidents—can mislead, and how researchers use frameworks like the Bradford Hill considerations to weigh evidence and to judge when the evidence is sufficient to act.

The speakers will also discuss the critical question: How much evidence is enough? In policy and health decisions, the answer often depends on context. The webinar will examine concepts such as the burden of proof, pragmatism, Type I and Type II errors, and the precautionary principle, exploring how scientists and decision-makers balance the risks of acting too soon versus waiting too long. Real-world examples, including microplastics and prenatal acetaminophen exposure, will illustrate how evidence evolves and how decisions to take action may often be made in the face of uncertainty.

By the end of the session, attendees will better understand the conventions of causal inference and how scientific evidence is used to guide responsible action. This discussion will be especially valuable for journalists, policymakers, and anyone interested in a refresher in how science informs decisions that protect human health and the environment.