Heuristics in Police Decision-Making Under Risk and Uncertainty
Authors
Alberto Paramio*
University of Huelva, Spain. Department of Clinical and Experimental Psychology
Abstract
Police officers frequently operate in environments where risk and uncertainty coexist and true uncertainty dominates, requiring rapid decisions despite limited time, information, or computational capacity. In these contexts, decision-making depends not only on rational analysis but also on fast-and-frugal heuristics, simple cognitive rules that align with the structure of the environment to deliver robust solutions quickly. Building on Knight’s classic distinction between risk and uncertainty and Simon’s notion of bounded rationality, this narrative review explores how heuristics such as recognition, take-the-best, satisficing, and gaze shape police judgments and actions. Research across decision domains suggests that some heuristics can outperform more complex models under specific conditions, although direct comparative evidence in policing remains limited. However, priming and availability-related effects can distort heuristic use, highlighting the need for training and policies that strengthen ecological rationality while minimizing predictable errors. Scenario-based training, simple allocation rules, and frameworks that integrate reflection-in-action may help officers calibrate when to rely on heuristics and when to seek additional verification. At the same time, acknowledging how heuristics interact with organizational cultures, dispatch information, and community expectations remains essential for maintaining public trust and accountability. A deeper understanding of these cognitive tools, their limits, and their fit with operational realities provides a realistic path for balancing speed, accuracy, and fairness in police decision-making under conditions of fundamental uncertainty.
Keywords: police decision-making, risk, uncertainty, fast-and-frugal heuristics, ecological rationality, bounded rationality
PAGES:207-222
doi:10.24193/cbb.2026.30.10
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