The Calculus of Consensus
An academic exploration of the Proportionality for Solid Coalitions (PSC) criterion, a key concept in understanding fairness in ranked electoral systems.
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Introduction to PSC
Defining Proportionality
Proportionality for Solid Coalitions (PSC) is a criterion used to evaluate the fairness of ranked voting systems, particularly those without explicit party lists. It adapts the fundamental concept of the quota rule to scenarios where voters directly support candidates, forming groups known as "solid coalitions."
Dummett's Contribution
This criterion was first articulated by the distinguished British philosopher and logician, Michael Dummett. His work sought to establish robust mathematical frameworks for assessing the proportionality of electoral outcomes, especially in systems where voter preferences are ranked.
Minimal Definition
PSC is considered a relatively minimal definition of proportionality. It primarily ensures that if a group of voters consistently ranks a specific set of candidates above all others (forming a solid coalition), then at least a proportional number of seats should be allocated to candidates from that set.
Understanding Solid Coalitions
The Essence of a Solid Coalition
In electoral systems that lack formal party lists, the concept of a "solid coalition" serves as the analogue to a political party. A solid coalition is defined as a group of voters who, when ranking candidates, consistently prefer any candidate within a particular set over any candidate not in that set.
Commitment and Preference
When voters are part of a solid coalition, they are considered to be "solidly supporting" or "solidly committed to" the candidates within that set. This implies a strong, unified preference structure among these voters for their chosen candidates.
Boundaries and Factions
Crucially, solid coalitions cannot arbitrarily cut across different factions or preference groups. For instance, on a political spectrum, moderate voters from the center-left and center-right might not form a single solid coalition if some center-right voters rank a far-right candidate higher than a center-left candidate. This segmentation is key to how PSC operates.
Quotas and PSC
Hare-PSC
The Hare-PSC criterion utilizes the Hare quota, calculated as the total number of voters () divided by the number of seats (), i.e., .
It mandates that if a solid coalition commands at least Hare quotas, then at least candidates from that coalition must be elected.
Droop-PSC
Droop-PSC employs the Droop quota, calculated as the total number of voters () divided by the number of seats plus one (), i.e., .
This variant ensures that if a solid coalition commands at least Droop quotas, at least candidates from that coalition must be elected.
Related Methods
Several electoral methods are known to satisfy quota-proportional criteria, including PSC. Notable examples include the Expanding Approvals Rule, the Method of Equal Shares, and the widely used Single Transferable Vote (STV) system.
Advanced Concepts & Generalizations
Generalized and Inclusion PSC
Researchers Aziz and Lee have extended the PSC concept. They introduced Generalized PSC and Inclusion PSC, which are applicable even when voters employ "weak rankings" (allowing for indifference between candidates). Their Expanding Approvals Rule is noted for satisfying these more comprehensive versions of PSC.
Rank-PJR+
Brill and Peters proposed Rank-PJR+, another fairness property designed for weak rankings. This criterion specifically addresses coalitions that are only "partially solid." The Expanding Approvals Rule adheres to Rank-PJR+, whereas the Single Transferable Vote (STV) does not. Importantly, determining if a committee satisfies Rank-PJR+ can be achieved efficiently through polynomial-time computation.
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References
References
- D. R. Woodall: Monotonicity of single-seat preferential election rules. Discrete Applied Mathematics 77 (1997), p. 83รขยย84.
- Tideman N.: Collective Decisions and Voting. Ashgate Publishing Ltd, Aldershot, 2006, p. 268รขยย269.
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Disclaimer
Important Notice
This content has been generated by an Artificial Intelligence and is intended for educational and informational purposes only. It is based on publicly available data and may not be exhaustive or entirely up-to-date.
This is not professional advice. The information provided herein does not constitute expert advice in political science, mathematics, or electoral system design. Readers are encouraged to consult primary sources and qualified professionals for in-depth analysis and specific applications.
The creators of this page are not responsible for any errors or omissions, or for any actions taken based on the information provided.