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8 - Dictatorship effect of majority rule in voting in hierarchical systems

Published online by Cambridge University Press:  07 December 2009

Serge Galam
Affiliation:
Centre de Recherche en Epistémologie Appliquée (CREA), Paris
Charlotte Hemelrijk
Affiliation:
Rijksuniversiteit Groningen, The Netherlands
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Summary

Introduction

In recent years statistical physics (Pathria, 1972; Ma, 1976) has been applied to a large spectrum of fields outside the scope of non-living matter (Bunde et al., 2002). While applications to social sciences are growing, they are still scarce (de Oliveira et al., 2000). In this chapter we analyse a basic ingredient of social organisations: the legitimacy of top leadership with respect to the distribution of support for various political trends present at the bottom of the organisation.

In hierarchical democratic systems each level is chosen from the one just below using a local majority rule. In principle this is supposed to yield 100% power to the larger trend. In the case of two competing trends, it means receiving more than 50% of the overall global support. This democratic ideal can seldom be satisfied, because the trend leading the organisation has several advantages. We show that accounting for such an asymmetry between the ruling trend and the challenging one may turn a democratic system into a drastic dictatorship.

This paradox is a consequence of the underlying dynamics associated with multi-level elections. It appears to obey a threshold-like dynamics, which can lead to democratic self-elimination of the huge majority against a minority trend which is in power (Galam, 1986). Indeed, repeated elections can drive the threshold for attaining power to a significant asymmetric value. For instance, it can be down to 23% for the group already in power and up to 77% for its challenging competitor.

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Chapter
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Publisher: Cambridge University Press
Print publication year: 2005

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References

Bunde, A., Kropp, J. and Schellnhuber, H. J. (eds.) (2002). The Science of Disasters. New York: Springer-VerlagCrossRefGoogle Scholar
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Pathria, R. K. (1972). Statistical Mechanics. Oxford: Pergamon PressGoogle Scholar

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