What is a confounder (confounding variable) and why should I care? — Tips for making sense of science

Data Literacy

Confounders (or confounding variables) are factors that are associated with both the “cause” and “effect” (or exposure and outcome) in a potential cause-and-effect relationship. If ignored, they can cause misleading results and conclusions. Common confounders include age, sex, and socioeconomic status. Imagine a study that looked at the relationship between diet and various health conditions. Read more…