2022
DOI: 10.1177/0272989x221107907
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Linear Biases and Pandemic Communications

Abstract: Background Previous research has demonstrated a tendency for individuals to mentally linearize nonlinear trends, leading to forecast errors. The present research notes that prior conceptualizations of these linear biases do not make identical predictions and examines how linear biases affect forecasts and risk perceptions of an unfolding epidemic. Methods This research uses an online experiment and a preregistered direct replication in a different online participant pool (total N = 608) to assess the trajector… Show more

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Cited by 2 publications
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