Wenceslaus I of Bohemia leads by 5.2 pts · 2 figures compared

Emperor · Medieval

Emperor · Medieval
Li Shi adopted the Two-Tax System proposed by Chancellor Yang Yan. This reform replaced the equal-field system with a simplified tax based on land and property, collected twice a year. It increased revenue but also increased the burden on peasants.
Troops from Jingyuan mutinied in Chang'an, forcing Li Shi to flee. The mutineers supported Zhu Ci as emperor. Li Shi's forces, with help from loyalist jiedushi, eventually suppressed the rebellion and recaptured the capital in 784.
After the Jingyuan Mutiny, Li Shi attempted to reduce the power of military governors by appointing civil officials and rotating commanders. These efforts had limited success, as the fanzhen remained largely autonomous.
Li Shi died in 805 after a reign marked by attempts at fiscal and administrative reform. His death led to a succession crisis and the brief reign of his son, who was soon deposed by eunuchs.
Wenceslaus I was raised and educated as a Christian by his grandmother, Saint Ludmila. He promoted Christianity in Bohemia, building churches and supporting missionaries, which strengthened the Christian identity of the Czech state.
Wenceslaus I accepted the overlordship of King Henry I of East Francia to avoid invasion. This act secured peace for Bohemia but made it a tributary state of the Holy Roman Empire, a status that lasted for centuries.
Wenceslaus I was murdered by his brother Boleslaus I and other conspirators at the gates of a church in Star
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.
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.
Comparisons are limited to 2—3 figures to ensure readability and statistical meaningfulness.
±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.
±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.
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