TY - JOUR

T1 - Leveraging Math Cognition to Combat Health Innumeracy

AU - Thompson, Clarissa A.

AU - Mielicki, Marta K.

AU - Rivera, Ferdinand

AU - Fitzsimmons, Charles J.

AU - Scheibe, Daniel A.

AU - Sidney, Pooja G.

AU - Schiller, Lauren K.

AU - Taber, Jennifer M.

AU - Waters, Erika A.

N1 - Publisher Copyright:
© The Author(s) 2022.

PY - 2023/1

Y1 - 2023/1

N2 - Rational numbers (i.e., fractions, percentages, decimals, and whole-number frequencies) are notoriously difficult mathematical constructs. Yet correctly interpreting rational numbers is imperative for understanding health statistics, such as gauging the likelihood of side effects from a medication. Several pernicious biases affect health decision-making involving rational numbers. In our novel developmental framework, the natural-number bias—a tendency to misapply knowledge about natural numbers to all numbers—is the mechanism underlying other biases that shape health decision-making. Natural-number bias occurs when people automatically process natural-number magnitudes and disregard ratio magnitudes. Math-cognition researchers have identified individual differences and environmental factors underlying natural-number bias and devised ways to teach people how to avoid these biases. Although effective interventions from other areas of research can help adults evaluate numerical health information, they circumvent the core issue: people’s penchant to automatically process natural-number magnitudes and disregard ratio magnitudes. We describe the origins of natural-number bias and how researchers may harness the bias to improve rational-number understanding and ameliorate innumeracy in real-world contexts, including health. We recommend modifications to formal math education to help children learn the connections among natural and rational numbers. We also call on researchers to consider individual differences people bring to health decision-making contexts and how measures from math cognition might identify those who would benefit most from support when interpreting health statistics. Investigating innumeracy with an interdisciplinary lens could advance understanding of innumeracy in theoretically meaningful and practical ways.

AB - Rational numbers (i.e., fractions, percentages, decimals, and whole-number frequencies) are notoriously difficult mathematical constructs. Yet correctly interpreting rational numbers is imperative for understanding health statistics, such as gauging the likelihood of side effects from a medication. Several pernicious biases affect health decision-making involving rational numbers. In our novel developmental framework, the natural-number bias—a tendency to misapply knowledge about natural numbers to all numbers—is the mechanism underlying other biases that shape health decision-making. Natural-number bias occurs when people automatically process natural-number magnitudes and disregard ratio magnitudes. Math-cognition researchers have identified individual differences and environmental factors underlying natural-number bias and devised ways to teach people how to avoid these biases. Although effective interventions from other areas of research can help adults evaluate numerical health information, they circumvent the core issue: people’s penchant to automatically process natural-number magnitudes and disregard ratio magnitudes. We describe the origins of natural-number bias and how researchers may harness the bias to improve rational-number understanding and ameliorate innumeracy in real-world contexts, including health. We recommend modifications to formal math education to help children learn the connections among natural and rational numbers. We also call on researchers to consider individual differences people bring to health decision-making contexts and how measures from math cognition might identify those who would benefit most from support when interpreting health statistics. Investigating innumeracy with an interdisciplinary lens could advance understanding of innumeracy in theoretically meaningful and practical ways.

KW - 1-in-x phenomenon

KW - decision-making

KW - denominator neglect

KW - interdisciplinary collaborations

KW - math cognition

KW - natural-number bias

KW - ratio bias

UR - http://www.scopus.com/inward/record.url?scp=85135770861&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85135770861&partnerID=8YFLogxK

U2 - 10.1177/17456916221083277

DO - 10.1177/17456916221083277

M3 - Article

C2 - 35943825

AN - SCOPUS:85135770861

SN - 1745-6916

VL - 18

SP - 152

EP - 177

JO - Perspectives on Psychological Science

JF - Perspectives on Psychological Science

IS - 1

ER -