In epidemiological studies, confounded results can lead to incorrect conclusions about causality. This can affect public health policies, clinical guidelines, and individual patient care. For instance, if a study erroneously identifies a harmless substance as a risk factor for a disease due to confounding, it may lead to unnecessary alarm and misallocation of resources.
