Data overlap is significant because it can impact the validity and reliability of histological studies. Overlapping data can either reinforce findings, providing stronger evidence for a particular conclusion, or it can introduce confusion and errors, leading to incorrect interpretations. In histology, where precise understanding of tissue structure and function is essential, managing data overlap effectively is vital.
