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Population is the main driver of war group size and conflict casualties
The proportions of individuals involved in intergroup coalitional conflict, measured by war group size (W), conflict casualties (C), and overall group conflict deaths (G), have declined with respect to growing populations, implying that states are less violent than small-scale societies. We argue th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5748198/ https://www.ncbi.nlm.nih.gov/pubmed/29229847 http://dx.doi.org/10.1073/pnas.1713972114 |
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author | Oka, Rahul C. Kissel, Marc Golitko, Mark Sheridan, Susan Guise Kim, Nam C. Fuentes, Agustín |
author_facet | Oka, Rahul C. Kissel, Marc Golitko, Mark Sheridan, Susan Guise Kim, Nam C. Fuentes, Agustín |
author_sort | Oka, Rahul C. |
collection | PubMed |
description | The proportions of individuals involved in intergroup coalitional conflict, measured by war group size (W), conflict casualties (C), and overall group conflict deaths (G), have declined with respect to growing populations, implying that states are less violent than small-scale societies. We argue that these trends are better explained by scaling laws shared by both past and contemporary societies regardless of social organization, where group population (P) directly determines W and indirectly determines C and G. W is shown to be a power law function of P with scaling exponent X [demographic conflict investment (DCI)]. C is shown to be a power law function of W with scaling exponent Y [conflict lethality (CL)]. G is shown to be a power law function of P with scaling exponent Z [group conflict mortality (GCM)]. Results show that, while W/P and G/P decrease as expected with increasing P, C/W increases with growing W. Small-scale societies show higher but more variance in DCI and CL than contemporary states. We find no significant differences in DCI or CL between small-scale societies and contemporary states undergoing drafts or conflict, after accounting for variance and scale. We calculate relative measures of DCI and CL applicable to all societies that can be tracked over time for one or multiple actors. In light of the recent global emergence of populist, nationalist, and sectarian violence, our comparison-focused approach to DCI and CL will enable better models and analysis of the landscapes of violence in the 21st century. |
format | Online Article Text |
id | pubmed-5748198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-57481982018-01-09 Population is the main driver of war group size and conflict casualties Oka, Rahul C. Kissel, Marc Golitko, Mark Sheridan, Susan Guise Kim, Nam C. Fuentes, Agustín Proc Natl Acad Sci U S A PNAS Plus The proportions of individuals involved in intergroup coalitional conflict, measured by war group size (W), conflict casualties (C), and overall group conflict deaths (G), have declined with respect to growing populations, implying that states are less violent than small-scale societies. We argue that these trends are better explained by scaling laws shared by both past and contemporary societies regardless of social organization, where group population (P) directly determines W and indirectly determines C and G. W is shown to be a power law function of P with scaling exponent X [demographic conflict investment (DCI)]. C is shown to be a power law function of W with scaling exponent Y [conflict lethality (CL)]. G is shown to be a power law function of P with scaling exponent Z [group conflict mortality (GCM)]. Results show that, while W/P and G/P decrease as expected with increasing P, C/W increases with growing W. Small-scale societies show higher but more variance in DCI and CL than contemporary states. We find no significant differences in DCI or CL between small-scale societies and contemporary states undergoing drafts or conflict, after accounting for variance and scale. We calculate relative measures of DCI and CL applicable to all societies that can be tracked over time for one or multiple actors. In light of the recent global emergence of populist, nationalist, and sectarian violence, our comparison-focused approach to DCI and CL will enable better models and analysis of the landscapes of violence in the 21st century. National Academy of Sciences 2017-12-26 2017-12-11 /pmc/articles/PMC5748198/ /pubmed/29229847 http://dx.doi.org/10.1073/pnas.1713972114 Text en Copyright © 2017 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | PNAS Plus Oka, Rahul C. Kissel, Marc Golitko, Mark Sheridan, Susan Guise Kim, Nam C. Fuentes, Agustín Population is the main driver of war group size and conflict casualties |
title | Population is the main driver of war group size and conflict casualties |
title_full | Population is the main driver of war group size and conflict casualties |
title_fullStr | Population is the main driver of war group size and conflict casualties |
title_full_unstemmed | Population is the main driver of war group size and conflict casualties |
title_short | Population is the main driver of war group size and conflict casualties |
title_sort | population is the main driver of war group size and conflict casualties |
topic | PNAS Plus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5748198/ https://www.ncbi.nlm.nih.gov/pubmed/29229847 http://dx.doi.org/10.1073/pnas.1713972114 |
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