title: Causal models frame interpretation of mathematical equations.
abstract: We offer evidence that people can construe mathematical relations as causal. The studies show that people can select the causal versions of equations and that their selections predict both what they consider most understandable and how they expect variables to influence one another. When asked to write down equations, people have a strong preference for the version that matches their causal model. Causal models serve to structure equations by determining the preferred order of variables: Causes should be on one side of an equality, and a single effect should appear on the other.
authors.affiliation: Brown University, Providence, Rhode Island 02912, USA.
authors.forename: Daniel
authors.initials: D
authors.lastname: Mochon
authors.forename: Steven A
authors.initials: SA
authors.lastname: Sloman
mesh_terms: D006801:Humans; D008962:Models, Theoretical; D011795:Surveys and Questionnaires