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Large numbers cause magnitude neglect: The case of government expenditures.
Boyce-Jacino, Christina; Peters, Ellen; Galvani, Alison P; Chapman, Gretchen B.
Afiliação
  • Boyce-Jacino C; Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Peters E; Center for Science Communication Research, School of Journalism and Communication, University of Oregon, Eugene, OR 97403.
  • Galvani AP; Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06510.
  • Chapman GB; Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA 15213.
Proc Natl Acad Sci U S A ; 119(28): e2203037119, 2022 07 12.
Article em En | MEDLINE | ID: mdl-35867746
ABSTRACT
Four studies demonstrate that the public's understanding of government budgetary expenditures is hampered by difficulty in representing large numerical magnitudes. Despite orders of magnitude difference between millions and billions, study participants struggle with the budgetary magnitudes of government programs. When numerical values are rescaled as smaller magnitudes (in the thousands or lower), lay understanding improves, as indicated by greater sensitivity to numerical ratios and more accurate rank ordering of expenses. A robust benefit of numerical rescaling is demonstrated across a variety of experimental designs, including policy relevant choices and incentive-compatible accuracy measures. This improved sensitivity ultimately impacts funding choices and public perception of respective budgets, indicating the importance of numerical cognition for good citizenship.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Orçamentos / Compreensão / Programas Governamentais Tipo de estudo: Health_economic_evaluation Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Orçamentos / Compreensão / Programas Governamentais Tipo de estudo: Health_economic_evaluation Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2022 Tipo de documento: Article