Subjectivity can lead to several consequences in epidemiology. It may introduce confounding variables that distort the true relationship between exposure and outcomes. It can also result in measurement bias, where the data collected does not accurately reflect the true values. These biases can undermine the validity and reliability of study findings, leading to erroneous conclusions and potentially flawed public health interventions.
