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  1. Measuring voting power for dependent voters through causal models.Luc Bovens & Claus Beisbart - 2011 - Synthese 179 (1):35 - 56.
    We construct a new measure of voting power that yields reasonable measurements even if the individual votes are not cast independently. Our measure hinges on probabilities of counterfactuals, such as the probability that the outcome of a collective decision would have been yes, had a voter voted yes rather than no as she did in the real world. The probabilities of such counterfactuals are calculated on the basis of causal information, following the approach by Balke and Pearl. Opinion leaders whose (...)
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  • Groups can make a difference: voting power measures extended. [REVIEW]Claus Beisbart - 2010 - Theory and Decision 69 (3):469-488.
    The voting power of a voter—the extent to which she can affect the outcome of a collective decision—is often quantified in terms of the probability that she is critical. This measure is extended to a series of power measures of different ranks. The measures quantify the extent to which a voter can be part of a group that can jointly make a difference as to whether a bill passes or not. It is argued that the series of these measures allow (...)
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