In the field of epidemiology, confounders are variables that can obscure the true relationship between the exposure and the outcome being studied. They are factors that are related to both the exposure and the outcome, but are not part of the causal pathway. For example, when studying the relationship between smoking and lung cancer, age can be a confounder if older individuals are more likely to smoke and also more likely to develop lung cancer independently of smoking.