How does biased interpretation affect histological data?
Biased interpretation occurs when preconceived notions or expectations influence the analysis of histological data. This can lead to selective reporting, where only data supporting a hypothesis are presented, while contradictory data are ignored. Confirmation bias can also play a role, where the histologist sees what they expect to see rather than what is actually present.
