title: Rational Irrationality: Modeling Climate Change Belief Polarization Using Bayesian Networks.
abstract: Belief polarization is said to occur when two people respond to the same evidence by updating their beliefs in opposite directions. This response is considered to be "irrational" because it involves contrary updating, a form of belief updating that appears to violate normatively optimal responding, as for example dictated by Bayes' theorem. In light of much evidence that people are capable of normatively optimal behavior, belief polarization presents a puzzling exception. We show that Bayesian networks, or Bayes nets, can simulate rational belief updating. When fit to experimental data, Bayes nets can help identify the factors that contribute to polarization. We present a study into belief updating concerning the reality of climate change in response to information about the scientific consensus on anthropogenic global warming (AGW). The study used representative samples of Australian and U.S.
  
  
  METHODS
  Among Australians, consensus information partially neutralized the influence of worldview, with free-market supporters showing a greater increase in acceptance of human-caused global warming relative to free-market opponents. In contrast, while consensus information overall had a positive effect on perceived consensus among U.S. participants, there was a reduction in perceived consensus and acceptance of human-caused global warming for strong supporters of unregulated free markets. Fitting a Bayes net model to the data indicated that under a Bayesian framework, free-market support is a significant driver of beliefs about climate change and trust in climate scientists. Further, active distrust of climate scientists among a small number of U.S. conservatives drives contrary updating in response to consensus information among this particular group.
authors.affiliation: Global Change Institute, The University of Queensland.|School of Psychology, University of Western Australia.
authors.forename: John
authors.initials: J
authors.lastname: Cook
authors.affiliation: School of Psychology, University of Western Australia.|School of Experimental Psychology and Cabot Institute, University of Bristol.
authors.forename: Stephan
authors.initials: S
authors.lastname: Lewandowsky
mesh_terms: D001315:Australia; D001499:Bayes Theorem; D057231:Climate Change; D032921:Consensus; D003469:Culture; D006801:Humans; D008960:Models, Psychological; D010465:Perception; D011908:Rationalization; D011795:Surveys and Questionnaires; D014481:United States
keywords: Bayes' theorem; Bayesian updating; Belief polarization; Climate change