Measurement variability can significantly influence the interpretation of epidemiological data. High variability can obscure true associations between exposures and outcomes, leading to incorrect conclusions. For instance, if the measurement of blood pressure in a study is inconsistent, it might lead to faulty associations with cardiovascular disease.
