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      The scientific value of numerical measures of human feelings

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          Significance

          Human feelings cannot be expressed on a numerical scale. There are no units of measurement for feelings. However, such data are extensively collected in the modern world—by governments, corporations, and international organizations. Why? Our study finds that a feelings integer (like my happiness is X out of 10) has more predictive power than a collection of socioeconomic influences. Moreover, there is a clear link between those feelings numbers and later get-me-out-of-here actions. Finally, the feelings-to-actions relationship appears replicable and not too far from linear. Remarkably, therefore, humans somehow manage to choose their numerical answers in a systematic way as though they sense within themselves—and can communicate—a reliable numerical scale for their feelings. How remains an unsolved puzzle.

          Abstract

          Human feelings measured in integers ( my happiness is an 8 out of 10, my pain 2 out of 6) have no objective scientific basis. They are “made-up” numbers on a scale that does not exist. Yet such data are extensively collected—despite criticism from, especially, economists—by governments and international organizations. We examine this paradox. We draw upon longitudinal information on the feelings and decisions of tens of thousands of randomly sampled citizens followed through time over four decades in three countries ( n = 700,000 approximately). First, we show that a single feelings integer has greater predictive power than does a combined set of economic and social variables. Second, there is a clear inverse relationship between feelings integers and subsequent get-me-out-of-here actions (in the domain of neighborhoods, partners, jobs, and hospital visits). Third, this feelings-to-actions relationship takes a generic form, is consistently replicable, and is fairly close to linear in structure. Therefore, it seems that human beings can successfully operationalize an integer scale for feelings even though there is no true scale. How individuals are able to achieve this is not currently known. The implied scientific puzzle—an inherently cross-disciplinary one—demands attention.

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          Most cited references37

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          Self-Rated Health and Mortality: A Review of Twenty-Seven Community Studies

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            Self-rated health and mortality: a review of twenty-seven community studies.

            We examine the growing number of studies of survey respondents' global self-ratings of health as predictors of mortality in longitudinal studies of representative community samples. Twenty-seven studies in U.S. and international journals show impressively consistent findings. Global self-rated health is an independent predictor of mortality in nearly all of the studies, despite the inclusion of numerous specific health status indicators and other relevant covariates known to predict mortality. We summarize and review these studies, consider various interpretations which could account for the association, and suggest several approaches to the next stage of research in this field.
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              Income and Happiness: Towards a Unified Theory

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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                3 October 2022
                18 October 2022
                3 October 2022
                : 119
                : 42
                : e2210412119
                Affiliations
                [1] aWellbeing Research Centre, University of Oxford , Oxford, OX1 3TD United Kingdom;
                [2] bInstitute for New Economic Thinking, Department of Social Policy and Intervention, University of Oxford , Oxford, OX1 2ER United Kingdom;
                [3] cDepartment of Economics, CAGE Centre, University of Warwick , Coventry, CV4 7AL United Kingdom;
                [4] dInstitut zur Zukunft der Arbeit (IZA) , Bonn, 53113 Germany
                Author notes
                1To whom correspondence may be addressed. Email: caspar.kaiser@ 123456hmc.ox.ac.uk .

                Edited by Richard Easterlin, University of Southern California, Los Angeles, CA; received June 30, 2022; accepted August 29, 2022

                Author contributions: C.K. and A.J.O. designed the project; C.K. performed the analysis; both authors agreed the conclusions and contributed to the writing; A.J.O. would like to record that C.K. should be assigned the majority of the credit for this paper.

                Author information
                https://orcid.org/0000-0003-3945-9137
                https://orcid.org/0000-0003-0628-3294
                Article
                202210412
                10.1073/pnas.2210412119
                9586273
                36191179
                5bc0ddea-dae6-443f-82d8-82c0afd8abf6
                Copyright © 2022 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                : 29 August 2022
                Page count
                Pages: 7
                Funding
                Funded by: EC | European Research Council (ERC) 501100000781
                Award ID: 856455
                Award Recipient : Caspar Kaiser
                Categories
                415
                Social Sciences
                Economic Sciences

                happiness,pain,satisfaction,survey design,validity
                happiness, pain, satisfaction, survey design, validity

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