First They Came for the Others: A Theory of Divide-and-Conquer

📅 2026-07-14
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses why bystanders often refrain from intervening during attacks, thereby enabling divide-and-conquer strategies. The authors propose a formal model integrating Bayesian inference and game theory, incorporating a “cognitive friction” mechanism to demonstrate that bystander inaction stems from rational misjudgments about the attacker’s intentions rather than coordination failure. The analysis examines how signaling, belief updating, and key contextual factors—including behavioral responses, rhetorical strategies, treaty commitments, and defensive network structures—shape intervention decisions. The findings reveal that high attack costs and low perceived correlation between the victim’s fate and bystanders’ own interests exacerbate fragmentation, whereas institutionalized commitments and tightly knit defense networks effectively mitigate misperceptions and enhance collective resolve to resist aggression.
📝 Abstract
Divide-and-conquer tactics often succeed not through mechanical coordination failures, but through epistemic friction regarding an aggressor's underlying intent. When an attacker strikes a first target, bystanders must infer whether the assault represents a localized grievance or a systemic campaign. If the attack is rationally interpreted as particularized, bystanders abstain, prompting the isolated victim to surrender. We demonstrate how higher attack costs and lower correlation between victims' fates facilitate this division. We then study how behavioral responses, rhetoric, treaty commitments, and downstream defense networks modify this inference.
Problem

Research questions and friction points this paper is trying to address.

divide-and-conquer
epistemic friction
bystander inference
aggressor intent
strategic interaction
Innovation

Methods, ideas, or system contributions that make the work stand out.

divide-and-conquer
epistemic friction
strategic inference
bystander behavior
intent signaling
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