Chabrias vs Gan Ning

Algorithm

Each figure is scored on 6 dimensions (0—100 scale) based on structured historical data: Military (10%), Political (20%), Influence (20%), Legacy (20%), Leadership (15%), Strategy (15%). The weighted total produces the final ranking.

Data Sources

Scores are computed from structured sub-indicators in the database. Scale factors adjust for era (Ancient ×0.85, Modern ×1.0) and civilization size (Eastern ×1.05, Other ×0.80) to account for differences in population and military scale.

Maximum 3 Figures

Comparisons are limited to 2—3 figures to ensure readability and statistical meaningfulness.

Error Margins

±5 points per dimension — Sub-scores are derived from historical records with inherent uncertainty. Two figures within 5 points on a dimension should be considered roughly equivalent in that area.

Total Score Accuracy

±3 points overall — The weighted combination of 6 dimensions produces a total score with approximately ±3 points of uncertainty. Differences of less than 3 points are not statistically significant— the figures are effectively tied.

Known Limitations

• Historical records are incomplete and uneven across civilizations
• Figures from oral-tradition societies may be underrepresented
• Occupation labels can misclassify multi-role figures
• Scores measure capability and impact, not moral character
• Quantitative scoring is a comparison tool, not absolute truth