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      Shared cultural ancestry predicts the global diffusion of democracy

      research-article
      1 , 2 , 3 , 4 , 5 , 1 , * ,
      Evolutionary Human Sciences
      Cambridge University Press
      democracy, cultural diffusion, cultural evolution, language, religion

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          Abstract

          Abstract

          Understanding global variation in democratic outcomes is critical to efforts to promote and sustain democracy today. Here, we use data on the democratic status of 221 modern and historical nations stretching back up to 200 years to show that, particularly over the last 50 years, nations with shared linguistic and, more recently, religious ancestry have more similar democratic outcomes. We also find evidence that for most of the last 50 years the democratic trajectory of a nation can be predicted by the democratic status of its linguistic and, less clearly, religious relatives, years and even decades earlier. These results are broadly consistent across three democracy indicators (Polity 5, Vanhanen's Index of Democracy, and Freedom in the World) and are not explained by geographical proximity or current shared language or religion. Our findings suggest that deep cultural ancestry remains an important force shaping the fortunes of modern nations, at least in part because democratic norms, institutions, and the factors that support them are more likely to diffuse between close cultural relatives.

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          phytools: an R package for phylogenetic comparative biology (and other things)

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            APE: Analyses of Phylogenetics and Evolution in R language.

            Analysis of Phylogenetics and Evolution (APE) is a package written in the R language for use in molecular evolution and phylogenetics. APE provides both utility functions for reading and writing data and manipulating phylogenetic trees, as well as several advanced methods for phylogenetic and evolutionary analysis (e.g. comparative and population genetic methods). APE takes advantage of the many R functions for statistics and graphics, and also provides a flexible framework for developing and implementing further statistical methods for the analysis of evolutionary processes. The program is free and available from the official R package archive at http://cran.r-project.org/src/contrib/PACKAGES.html#ape. APE is licensed under the GNU General Public License.
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              phangorn: phylogenetic analysis in R

              Summary: phangorn is a package for phylogenetic reconstruction and analysis in the R language. Previously it was only possible to estimate phylogenetic trees with distance methods in R. phangorn, now offers the possibility of reconstructing phylogenies with distance based methods, maximum parsimony or maximum likelihood (ML) and performing Hadamard conjugation. Extending the general ML framework, this package provides the possibility of estimating mixture and partition models. Furthermore, phangorn offers several functions for comparing trees, phylogenetic models or splits, simulating character data and performing congruence analyses. Availability: phangorn can be obtained through the CRAN homepage http://cran.r-project.org/web/packages/phangorn/index.html. phangorn is licensed under GPL 2. Contact: klaus.kschliep@snv.jussieu.fr Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Journal
                Evol Hum Sci
                Evol Hum Sci
                EHS
                Evolutionary Human Sciences
                Cambridge University Press (Cambridge, UK )
                2513-843X
                2022
                19 September 2022
                : 4
                : e42
                Affiliations
                [1 ]School of Psychology, University of Auckland , New Zealand
                [2 ]RAND Corporation, Boston, Massachusetts, USA
                [3 ]Faculty, Pardee RAND Graduate School, Santa Monica, California, USA
                [4 ]Centre for Computational Evolution, University of Auckland , New Zealand
                [5 ]School of Computer Science, University of Auckland , Auckland, New Zealand
                Author notes
                [* ]Corresponding author. E-mail: q.atkinson@ 123456auckland.ac.nz
                Author information
                https://orcid.org/0000-0003-2790-1813
                https://orcid.org/0000-0002-4382-1007
                https://orcid.org/0000-0002-7066-2830
                https://orcid.org/0000-0002-8499-7535
                Article
                S2513843X22000408
                10.1017/ehs.2022.40
                10426017
                37588939
                a884d79e-6e24-4d33-9800-203fb24d1f0c
                © The Author(s) 2022

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 29 July 2021
                : 07 July 2022
                : 17 August 2022
                Page count
                Figures: 4, References: 82, Pages: 18
                Funding
                Funded by: Royal Society Te Apārangi, doi http://dx.doi.org/10.13039/501100001509;
                Award ID: 20-UOA123
                Funded by: Royal Society Te Apārangi, doi http://dx.doi.org/10.13039/501100001509;
                Award ID: RDF-UOA1101
                Categories
                Research Article

                democracy,cultural diffusion,cultural evolution,language,religion

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