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Consumers are often shown investment returns with high levels of precision, which could lead them to misunderstand the inherent uncertainty. We test whether consumers are drawn to precision-that is offset the uncertainty in investment decisions by over-relying on precise numerical information. Five incentivized experiments compared decisions when expected growth is presented in precise forecasts as opposed to ranges. Consumers are more likely to prefer and invest more in precise forecasts when they are evaluated jointly with ranges and when the range features a potential loss. Under these circumstances, precise forecasts give consumers more confidence to invest. This effect holds when consumers are told investment returns are uncertain. On the other hand, experiencing discrepancies between expected and actual growth dissipates the preference for precise forecasts. We identify conditions under which consumers are more likely to favor precise forecasts and how this could be avoided if necessary. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Conviction Narrative Theory (CNT) is a theory of choice under radical uncertainty – situations where outcomes cannot be enumerated and probabilities cannot be assigned. 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 representations of causal, temporal, analogical, and valence relationships – 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 that feels "right" to explain the available data; using that narrative to imagine plausible futures; and affectively evaluating those imagined futures to make a choice. Evidence from many areas of the cognitive, behavioral, and social sciences supports this basic model, including lab experiments, interview studies, and econometric analyses. We identify 12 propositions to explain how the mental representations (narratives) interact with four inter-related processes (explanation, simulation, affective evaluation, and communication), examining the theoretical and empirical basis for each. We conclude by discussing how CNT can provide a common vocabulary for researchers studying everyday choices across areas of the decision sciences. [ABSTRACT FROM AUTHOR]