Ruler Survival in China, Europe, and the Islamic World

Comparing three recent datasets on ruler tenure, deposal, and regicide across civilizations, 1000–1800 CE.

Ruler Duration (smoothed)

Years in power, moving average. Wang (2022) replication data, from Blaydes & Chaney (2013).
China
Europe
Islamic World

Deposal Rate (smoothed)

Probability of ruler being deposed by elites, %. Wang (2022) replication data.
China
Europe
Islamic World
Key finding: China and Europe track each other closely on ruler tenure (15–18 years) throughout the 1000–1800 period. The real outlier is the Islamic world, where tenure declines from ~16 to ~11 years. China's distinctiveness lies in its declining deposal rate (55% → 20%), which diverges sharply from Europe's relatively stable 30–45% range. Chinese rulers became dramatically safer over time, while European rulers continued to face meaningful threats from elites.

Figures from Chen & Lin (2026)

The following figures are reproduced from Chen and Lin, "A Quantitative History of Regicide in China," Ch. 4 in Quantitative History of China (Springer, 2026), pp. 65–108. Open access, CC BY-NC-ND 4.0. Subsample B = mainstream emperors from 221 BCE to 1911 CE (excludes fragmentation-era petty kings, who are in Subsample C). European data from Blaydes & Chaney (2013) and Eisner (2011).

Figure 4.13: Ruler duration comparison, China vs Europe vs Islam, 100-year moving averages
Fig. 4.13. Ruler duration comparison among Chinese (Subsample B), European, and Islamic rulers. 100-year moving averages. China (blue) shows high volatility with no secular trend. Europe (gray) shows the only genuine secular increase. Islam (black) stays flat or declining. Source: Chen & Lin (2026, p. 98), data for Europe and Islam from Blaydes & Chaney (2013).
Figure 4.10: Regicide rate comparison, China vs Europe
Fig. 4.10. Regicide rate comparison between China (Subsample B) and Europe. Regicide rate = number of regicides per 100,000 ruler-years. After 700 AD, the two series converge and decline in parallel toward near-zero by 1800. The decline in elite political violence is a shared Eurasian phenomenon, not uniquely Chinese. Source: Chen & Lin (2026, p. 94), European data from Eisner (2011).

I. Three Sources Compared

FeatureHuang (2023)Wang (2022)Chen & Lin (2026)
BookThe Rise and Fall of the EASTThe Rise and Fall of Imperial ChinaCh. 4 in Quantitative History of China
PublisherYale UPPrinceton UPSpringer (open access)
Sample (China)Mainline dynasty emperors only249 rulers, 221 BCE–1908Subsample B: 341 mainstream emperors, 221 BCE–1911 + Subsample C: 664 non-emperor rulers
Fragmentation-era rulersInterregnum (220–581) collapsed into single obs; Five Dynasties likewiseIncluded (249 total suggests selective)Separated into Subsample C
Cross-civilizationalRome only (qualitative)Europe + Islamic World (Blaydes & Chaney 2013)Europe (Eisner 2011, Blaydes & Chaney 2013)
MethodDynasty-level averages (1 obs per dynasty)Individual rulers + smoothed moving averages100-year moving average time series
Main outcomeRuler tenure (years)Deposal rate (binary), tenureRegicide rate (per 100K ruler-years), tenure
Key claimRuler tenure increased over time → Keju-driven stability → stagnation"Sovereign's dilemma": declining deposal rate = rulers traded state strength for personal safetyChinese regicide rate converges with Europe post-700 AD; no secular trend in ruler duration
Replication dataNot publicHarvard Dataverse (doi:10.7910/DVN/KER9GK)Tables in text; figures only
For Wang and Chen & Lin, European comparative data derives ultimately from Blaydes, Lisa, and Eric Chaney, "The Feudal Revolution and Europe's Rise," Journal of Political Economy 121.1 (2013), pp. 1–40.

II. Dynasty-Level Ruler Tenure: A Comparison

The table below compares Huang's stated dynasty averages (from EAST, Ch. 5, pp. 162–63) with averages computed from Wang's individual ruler data (Harvard Dataverse). Differences arise from sample composition: Huang appears to count total dynasty years ÷ number of emperors, while Wang's data records individual tenures that may exclude interregna or co-regencies.

DynastyPeriodHuang avg (yrs)Wang avg (yrs)Wang NWang deposal %
Qin 秦221–206 BCE76.0333%
W. Han 西汉202 BCE–9 CE2417.1147%
E. Han 东汉25–22015.91217%
Interregnum 三国–南北朝220–5811 obs in t-test10.39040%
Sui 隋581–6181716.0425%
Tang 唐618–9071913.82330%
Five Dynasties 五代907–9601 obs in t-test9.82330%
N. Song 北宋960–11272823.2200%
S. Song 南宋1127–127917.22421%
Yuan 元1271–1368288.9922%
Ming 明1368–16442218.2180%
Qing 清1644–19113628.7911%
Huang's "24" for Han and "28" for Song are combined figures. Huang does not list text averages for the Interregnum or Five Dynasties on pp. 162–63, but both appear as single observations in his t-test (Table 5.1, p. 168): the entire 361-year Han-Sui Interregnum is one pre-Sui observation, and the Five Dynasties is one post-Sui observation. The Yuan discrepancy (Huang 28 vs. Wang 8.9) is striking and likely reflects different counting methods: Huang may be dividing total dynasty years (97) by a smaller number of emperors, while Wang includes all individually recorded reigns including very brief ones. Red cells highlight analytical leverage points.

III. Analytical Notes

A. Does Chinese ruler tenure increase over time?

Huang's central empirical claim is that Chinese emperors ruled longer as time progressed, attributing this to the Keju system's pacification of elites. His pre-Sui vs. post-Sui t-test (16 vs. 25 years, p=0.043) is the statistical backbone of this argument (Table 5.1, p. 168).

The problems with this test are severe. Huang uses dynasty-level averages as his unit of analysis, generating one observation per dynasty. His pre-Sui group has 6 observations (Qin, W. Han, New, E. Han, Han-Sui Interregnum, Sui); his post-Sui group has 7 (Tang, Five Dynasties, N. Song, S. Song, Yuan, Ming, Qing). This is a t-test with n=13. All within-dynasty variation is suppressed. Wang Mang's 16-year New dynasty (a single usurper) carries the same statistical weight as the 267-year Qing. When Chen & Lin (2026, Fig. 4.13) apply a 100-year moving average to individual ruler data (Subsample B: mainstream emperors, excluding fragmentation-era petty kings), the upward trend disappears entirely. The China line is wildly volatile, spiking during stable phases (Song, ~27 years) and crashing during transitions (Mongol conquest, ~5 years). There is no secular trajectory.

The result is also fragile to its composition. In the pre-Sui group, the Han-Sui Interregnum (220–581) compresses 361 years of political fragmentation spanning dozens of competing regimes and roughly 90 rulers (per Wang's data) into a single observation with a low average. This one data point does substantial work pulling down the pre-Sui mean. In the post-Sui group, the Qing does the opposite: Kangxi's 61-year reign and Qianlong's 60-year reign inflate the dynasty average to 36 years, the highest of any dynasty, which pulls the post-Sui mean well above where it would otherwise sit. Remove the Qing or split it differently and the significance likely vanishes. A test whose result depends on one observation at each tail is measuring the idiosyncrasies of those observations, not a structural historical process.

There is a further problem of circularity. Huang's grouping variable (pre/post Sui) is chosen to correspond to the mechanism he proposes (Keju, which began under Sui). The cutpoint is the theory. If you moved the boundary one dynasty in either direction, or split at the Song (where Keju became fully meritocratic), the result would change. With n=13, a single reassignment of one observation across the boundary can flip significance. This is not a test that could survive a pre-registration regime.

B. Is China's ruler stability distinctive?

The cross-civilizational comparison (above charts) shows that China and Europe are remarkably similar in ruler tenure throughout the 1000–1800 window, both hovering in the 15–18 year range. The Islamic world is the real outlier, declining from ~16 to ~11 years. If increasing ruler tenure caused stagnation (Huang's argument), Europe should also have stagnated, since European rulers enjoyed the same or greater tenure gains.

Chen & Lin's Figure 4.10 reinforces this: Chinese and European regicide rates converge after 700 AD and decline in parallel toward near-zero by 1800. Elite political violence declined across Eurasia, not uniquely in China.

C. Where the data does show Chinese distinctiveness

Wang's deposal rate data reveals the genuine Chinese anomaly. Chinese rulers went from being deposed by elites 55% of the time (c. 1000) to just 20% (c. 1800). European deposal rates only declined modestly (46% → 30%). This divergence is real and not compositional, since the Wang sample covers 1000–1800, a period of predominantly unified empires in China.

The question is whether this declining deposal rate reflects a deliberate ruler strategy (Wang's "sovereign's dilemma": rulers weakened the state to ensure personal survival) or a byproduct of institutional change (the Keju system pacified elites and fragmented gentry networks, making coups structurally harder regardless of ruler intent). The fiscal data supports the second interpretation: China's tax/GDP ratio fell from ~17% under the Song to ~1% by the late Qing (Wang, Fig. 2.9; Guan, Ma, & Zhai 2026), but the fiscal decline tracks the localization of elite networks after the Tang-Song transition more than any deliberate policy choice by rulers.

IV. Sources

Blaydes, Lisa, and Eric Chaney. "The Feudal Revolution and Europe's Rise: Political Divergence of the Christian West and the Muslim World before 1500 CE." American Political Science Review 108.1 (2014): 16–34.
Chen, Zhiwu, and Zhan Lin. "A Quantitative History of Regicide in China." In Zhiwu Chen, Cameron Campbell, and Debin Ma, eds., Quantitative History of China: State Capacity, Institutions and Development (Singapore: Springer, 2026), Ch. 4, pp. 65–108. Open access, doi:10.1007/978-981-96-8272-0_4.
Eisner, Manuel. "Killing Kings: Patterns of Regicide in Europe, AD 600–1800." British Journal of Criminology 51.3 (2011): 556–577.
Guan, Hanhui, Debin Ma, and Runzhuo Zhai. "Fiscal Revenue in Ming and Qing China (1368–1911 CE): A Quantification." In Chen, Campbell, and Ma, eds., Quantitative History of China (2026), Ch. 9, pp. 243–274.
Huang, Yasheng. The Rise and Fall of the EAST: How Exams, Autocracy, Stability, and Technology Brought China Success, and Why They Might Lead to Its Decline. New Haven: Yale University Press, 2023. Esp. Ch. 5, "What Makes Chinese Autocracy So Stable?" pp. 155–182.
Wang, Yuhua. The Rise and Fall of Imperial China: The Social Origins of State Development. Princeton: Princeton University Press, 2022. Replication data: Harvard Dataverse, doi:10.7910/DVN/KER9GK.