Fear pervades dictatorial regimes. Citizens fear leaders, the regime's agents fear superiors, and leaders fear the masses. The ubiquity of fear in such regimes gives rise to the "dictator's dilemma," where autocrats do not know the level of opposition they face and cannot effectively neutralize domestic threats to their rule. The dilemma has led scholars to believe that autocracies are likely to be short-lived.

Yet, some autocracies have found ways to mitigate the dictator's dilemma. As Martin K. Dimitrov shows in Dictatorship and Information: Authoritarian Regime Resilience in Communist Europe and China (Oxford UP, 2023), substantial variability exists in the survival of nondemocratic regimes, with single-party polities having the longest average duration. Offering a systematic theory of the institutional solutions to the dictator's dilemma, Dimitrov argues that single-party autocracies have fostered channels that allow for the confidential vertical transmission of information, while also solving the problems associated with distorted information.

To explain how this all works, Dimitrov focuses on communist regimes, which have the longest average lifespan among single-party autocracies and have developed the most sophisticated information-gathering institutions. Communist regimes face a variety of threats, but the main one is the masses. Dimitrov therefore examines the origins, evolution, and internal logic of the information-collection ecosystem established by communist states to monitor popular dissent. Drawing from a rich base of evidence across multiple communist regimes and nearly 100 interviews, Dimitrov reshapes our understanding of how autocrats learn--or fail to learn--about the societies they rule, and how they maintain--or lose--power.

Listeners interested in how authoritarian regimes gather information and use it to maintain political control should also check out the NBN interviews with Iza Ding, on how China's bureaucrats make a show of responsiveness even when they can't deliver, Jeremy Wallace, on the role of quantification in China's authoritarianism, Daniel Treisman, on how dictators around the world try to control their public image, Jennifer Pan, on how China uses its limited welfare state to hold power, journalists Josh Chin and Liza Lin on China's surveillance state, and Yao Li, Manfred Elfstrom, and Lynette Ong on China's protests.

Martin K. Dimitrov is Professor of Political Science at Tulane University. 

Peter Lorentzen is economics professor at the University of San Francisco. He heads USF's Applied Economics Master's program, which focuses on the digital economy. His research is mainly on China's political economy.

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