Bias-Adjusted Assessments

A bias-adjusted assessment explicitly accounts for known source biases in its conclusions. Instead of presenting the finding at face value, it presents the finding with a bias adjustment — like adjusting for inflation in financial data. "Source A reports competitor revenue at $60M. Source A has a documented pattern of overestimating revenue by 10-15% for companies in this category (based on historical comparisons against subsequent 10-K filings). Bias-adjusted estimate: $52M-$54M." The adjustment is transparent, the methodology is documented, and the consumer knows exactly how much to trust the number.

## Bias-Adjusted Finding

RAW FINDING: [What the source reported]
SOURCE: [Name] | Credibility: [Score] | Known Bias: [Direction]

BIAS ASSESSMENT:
- Direction: [Overestimates / Underestimates / Favorable framing]
- Magnitude: [Historical deviation from verified data]
- Confidence in bias estimate: [HIGH/MED/LOW]

ADJUSTED FINDING: [Raw finding ± bias adjustment]

RESIDUAL UNCERTAINTY: [What the adjustment does NOT account for]

Note: Present the adjusted finding in the brief.
Include the raw finding and adjustment methodology
in the appendix for transparency.