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This content will become publicly available on July 12, 2023

Title: Large numbers cause magnitude neglect: The case of government expenditures
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.
Authors:
; ; ;
Award ID(s):
2017651 1851702
Publication Date:
NSF-PAR ID:
10371701
Journal Name:
Proceedings of the National Academy of Sciences
Volume:
119
Issue:
28
ISSN:
0027-8424
Sponsoring Org:
National Science Foundation
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