In epidemiology, inconsistency refers to discrepancies or variations in data, findings, or outcomes that complicate the interpretation of research results. These inconsistencies can arise at various stages of research, from data collection and analysis to reporting and interpretation. Understanding and addressing inconsistency is crucial for deriving valid conclusions and making informed public health decisions.