Cargando…

Intuition and exponential growth: bias and the roles of parameterization and complexity

Exponential growth bias is the phenomenon that humans intuitively underestimate exponential growth. This article reports on an experiment where treatments differ in the parameterization of growth: Exponential growth is communicated to one group in terms of growth rates, and in terms of doubling time...

Descripción completa

Detalles Bibliográficos
Autores principales: Schonger, Martin, Sele, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386158/
https://www.ncbi.nlm.nih.gov/pubmed/34795462
http://dx.doi.org/10.1007/s00591-021-00306-7
_version_ 1783742210238316544
author Schonger, Martin
Sele, Daniela
author_facet Schonger, Martin
Sele, Daniela
author_sort Schonger, Martin
collection PubMed
description Exponential growth bias is the phenomenon that humans intuitively underestimate exponential growth. This article reports on an experiment where treatments differ in the parameterization of growth: Exponential growth is communicated to one group in terms of growth rates, and in terms of doubling times to the other. Exponential growth bias is much smaller when doubling times are employed. Considering that in many applications, individuals face a choice between different growth rates, rather than between exponential growth and zero growth, we ask a question where growth is reduced from high to low. Subjects vastly underestimate the effect of this reduction, though less so in the parameterization using doubling times. The answers to this question are more severely biased than one would expect from the answers to the exponential growth questions. These biases emerge despite the sample being highly educated and exhibiting awareness of exponential growth bias. Implications for teaching, the usefulness of heuristics, and policy are discussed.
format Online
Article
Text
id pubmed-8386158
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-83861582021-08-25 Intuition and exponential growth: bias and the roles of parameterization and complexity Schonger, Martin Sele, Daniela Math Semesterber Mathematik in Forschung und Anwendung - Mathematical Research and Applications Exponential growth bias is the phenomenon that humans intuitively underestimate exponential growth. This article reports on an experiment where treatments differ in the parameterization of growth: Exponential growth is communicated to one group in terms of growth rates, and in terms of doubling times to the other. Exponential growth bias is much smaller when doubling times are employed. Considering that in many applications, individuals face a choice between different growth rates, rather than between exponential growth and zero growth, we ask a question where growth is reduced from high to low. Subjects vastly underestimate the effect of this reduction, though less so in the parameterization using doubling times. The answers to this question are more severely biased than one would expect from the answers to the exponential growth questions. These biases emerge despite the sample being highly educated and exhibiting awareness of exponential growth bias. Implications for teaching, the usefulness of heuristics, and policy are discussed. Springer Berlin Heidelberg 2021-08-25 2021 /pmc/articles/PMC8386158/ /pubmed/34795462 http://dx.doi.org/10.1007/s00591-021-00306-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Mathematik in Forschung und Anwendung - Mathematical Research and Applications
Schonger, Martin
Sele, Daniela
Intuition and exponential growth: bias and the roles of parameterization and complexity
title Intuition and exponential growth: bias and the roles of parameterization and complexity
title_full Intuition and exponential growth: bias and the roles of parameterization and complexity
title_fullStr Intuition and exponential growth: bias and the roles of parameterization and complexity
title_full_unstemmed Intuition and exponential growth: bias and the roles of parameterization and complexity
title_short Intuition and exponential growth: bias and the roles of parameterization and complexity
title_sort intuition and exponential growth: bias and the roles of parameterization and complexity
topic Mathematik in Forschung und Anwendung - Mathematical Research and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386158/
https://www.ncbi.nlm.nih.gov/pubmed/34795462
http://dx.doi.org/10.1007/s00591-021-00306-7
work_keys_str_mv AT schongermartin intuitionandexponentialgrowthbiasandtherolesofparameterizationandcomplexity
AT seledaniela intuitionandexponentialgrowthbiasandtherolesofparameterizationandcomplexity