Conviction Narrative Theory: A Theory of Choice Under Radical Uncertainty
Real-world decisions often take place under radical uncertainty—where outcomes cannot be enumerated and probabilities cannot be assigned. Conviction Narrative Theory (CNT) is a theory of choice under radical uncertainty. Whereas most theories of choice assume that people rely on (potentially biased) probabilistic judgments, such theories cannot account for adaptive decision-making when probabilities cannot be assigned. CNT proposes that people use narratives—structured causal hypotheses—rather than probabilities, as the currency of thought that unifies our sense-making and decision-making faculties. According to CNT, narratives arise from the interplay between individual cognition and the social environment, with reasoners adopting a narrative to explain the available evidence; using that narrative to imagine plausible futures; and affectively evaluating those imagined futures to make a choice. Evidence from many different areas of the cognitive, behavioral, and social sciences supports this basic model, including lab experiments, interview studies, and econometric analyses. We describe several varieties of narratives that govern decisions, documenting the psychological mechanisms governing their evaluation and their use in decision-making. We suggest two ways in which narratives and affect work together to support adaptive decision-making—evaluating the compatibility of imagined futures and goals and maintaining conviction to act in the face of ambivalent reasons and changing information. We conclude by discussing practical implications of CNT and its generativity for future research.