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Testing for voter rigging in small polling stations
Nowadays, a large number of countries combine formal democratic institutions with authoritarian practices. Although in these countries the ruling elites may receive considerable voter support, they often use several manipulation tools to control election outcomes. A common practice of these regimes...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493417/ https://www.ncbi.nlm.nih.gov/pubmed/28695193 http://dx.doi.org/10.1126/sciadv.1602363 |
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author | Jimenez, Raúl Hidalgo, Manuel Klimek, Peter |
author_facet | Jimenez, Raúl Hidalgo, Manuel Klimek, Peter |
author_sort | Jimenez, Raúl |
collection | PubMed |
description | Nowadays, a large number of countries combine formal democratic institutions with authoritarian practices. Although in these countries the ruling elites may receive considerable voter support, they often use several manipulation tools to control election outcomes. A common practice of these regimes is the coercion and mobilization of large numbers of voters. This electoral irregularity is known as voter rigging, distinguishing it from vote rigging, which involves ballot stuffing or stealing. We develop a statistical test to quantify the extent to which the results of a particular election display traces of voter rigging. Our key hypothesis is that small polling stations are more susceptible to voter rigging because it is easier to identify opposing individuals, there are fewer eyewitnesses, and interested parties might reasonably expect fewer visits from election observers. We devise a general statistical method for testing whether voting behavior in small polling stations is significantly different from the behavior in their neighbor stations in a way that is consistent with the widespread occurrence of voter rigging. On the basis of a comparative analysis, the method enables third parties to conclude that an explanation other than simple variability is needed to explain geographic heterogeneities in vote preferences. We analyze 21 elections in 10 countries and find significant statistical anomalies compatible with voter rigging in Russia from 2007 to 2011, in Venezuela from 2006 to 2013, and in Uganda in 2011. Particularly disturbing is the case of Venezuela, where the smallest polling stations were decisive to the outcome of the 2013 presidential elections. |
format | Online Article Text |
id | pubmed-5493417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54934172017-07-10 Testing for voter rigging in small polling stations Jimenez, Raúl Hidalgo, Manuel Klimek, Peter Sci Adv Research Articles Nowadays, a large number of countries combine formal democratic institutions with authoritarian practices. Although in these countries the ruling elites may receive considerable voter support, they often use several manipulation tools to control election outcomes. A common practice of these regimes is the coercion and mobilization of large numbers of voters. This electoral irregularity is known as voter rigging, distinguishing it from vote rigging, which involves ballot stuffing or stealing. We develop a statistical test to quantify the extent to which the results of a particular election display traces of voter rigging. Our key hypothesis is that small polling stations are more susceptible to voter rigging because it is easier to identify opposing individuals, there are fewer eyewitnesses, and interested parties might reasonably expect fewer visits from election observers. We devise a general statistical method for testing whether voting behavior in small polling stations is significantly different from the behavior in their neighbor stations in a way that is consistent with the widespread occurrence of voter rigging. On the basis of a comparative analysis, the method enables third parties to conclude that an explanation other than simple variability is needed to explain geographic heterogeneities in vote preferences. We analyze 21 elections in 10 countries and find significant statistical anomalies compatible with voter rigging in Russia from 2007 to 2011, in Venezuela from 2006 to 2013, and in Uganda in 2011. Particularly disturbing is the case of Venezuela, where the smallest polling stations were decisive to the outcome of the 2013 presidential elections. American Association for the Advancement of Science 2017-06-30 /pmc/articles/PMC5493417/ /pubmed/28695193 http://dx.doi.org/10.1126/sciadv.1602363 Text en Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Jimenez, Raúl Hidalgo, Manuel Klimek, Peter Testing for voter rigging in small polling stations |
title | Testing for voter rigging in small polling stations |
title_full | Testing for voter rigging in small polling stations |
title_fullStr | Testing for voter rigging in small polling stations |
title_full_unstemmed | Testing for voter rigging in small polling stations |
title_short | Testing for voter rigging in small polling stations |
title_sort | testing for voter rigging in small polling stations |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493417/ https://www.ncbi.nlm.nih.gov/pubmed/28695193 http://dx.doi.org/10.1126/sciadv.1602363 |
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