How can peer review help reduce appraisal bias?

• A. Provides independent checks, identifies bias in data or methods, suggests alternative data sources or comps.
• B. Deletes outlier comps from the dataset.
• C. Allows the reviewer to overrule the appraiser's professional judgment in all cases.
• D. Eliminates the need for record keeping.

Answer: (A)

Peer review reduces appraisal bias by providing an independent check on the entire process. A reviewer who wasn’t involved in the original analysis examines the data chosen, the comparable sales used, the adjustments applied, and the overall approach. This external perspective helps spot bias in data selection or methods—such as overreliance on a limited set of comps or uneven weighting of certain factors—and prompts consideration of alternative data sources or more appropriate comparables. By validating the reasoning and ensuring that adjustments are justified and well-supported, peer review promotes objectivity and consistency with professional standards, while also strengthening the appraisal’s documentation and transparency.

Removing outlier comps without proper justification, overruling the appraiser’s judgment in every case, or eliminating record-keeping would undermine the purpose of review. Peer review isn’t about blanket data removal or rigid control; it’s about thoughtful scrutiny and justified, well-documented refinements.