Inaccurate measurement tools can lead to misclassification of disease status or exposure levels, thus introducing bias into the study. This bias can, in turn, result in erroneous conclusions about the relationship between exposures and outcomes. For instance, if a poorly calibrated instrument underestimates exposure levels, the association between the exposure and the disease might appear weaker than it actually is.
