Contents

Description of CHPV and GV

Introduction
Analogy
Weightings
Voting
Counting
Outcomes
Party-List
Summary

Evaluations of CHPV and GV

Ranked Ballot

Introduction (RB)
General Criteria
Majority Criteria
Clones & Teaming
Teaming Thresholds
Summary (RB)

Party-List

Introduction (PL)
Diagrams & Maps
CHPV Maps
Optimality
Party Cloning
Proportionality
Summary (PL)

Comparisons of CHPV with other voting systems

Single-Winner

Introduction (SW)
Plurality (FPTP)
Borda Count
Geometric Voting
Positional Voting
Condorcet Methods
AV (IRV)
Plur. Rule Methods
Summary (SW)

Multiple-Winner

Introduction (MW)
STV
Party-List
PL ~ Hare
PL ~ Droop
~ Maps Opt PC Pro
PL ~ D'Hondt
~ Maps Opt PC Pro
PL ~ Sainte-Laguë
~ Maps Opt PC Pro
Mixed Member Sys
Summary (MW)

Conclusions

Ranked Ballot CHPV
Party-List CHPV

General

Table of Contents

Map Construction

Table of Contents

Mathematical Proofs

Table of Contents
Notation & Formats

Valid XHTML 1.0 Strict

Valid CSS

Home About Description Evaluations(RB) Evaluations(PL) Comparisons(SW) Comparisons(MW) Conclusions General Maps Proofs
Home About Description Evaluations(RB) Evaluations(PL) Comparisons(SW) Comparisons(MW) Conclusions General Maps Proofs
Home > Proofs > Positional Voting > CV1
Last Revision: 25 May 2020

Mathematical Proofs: Positional Voting

Proof CV1: Consensus and Polarization Indices for Positional Voting Vectors

The consensus index (CIV) for a positional voting vector is defined as the weighted average of all the individual consensus indices (CIL) for the lower preference in each adjacent pair of preferences. The higher preference in each pair is employed to weight these indices in every case. The CIV is therefore calculated as follows.

Proof CV1a

The polarization index (PIV) is similarly calculated using all the individual polarization indices (PIL) instead; as follows.

Proof CV1b

As CIV and PIV should sum to one, the following check confirms this relationship.

Proof CV1c

For vectors normalized such that w1 = 1 and wN = 0, the two vector bias indices may be simplified further as shown below.

Proof CV1d

The polarization index is simply the reciprocal of the sum of all the normalized preference weightings.


Return to main text > Comparisons: Positional Voting 2

Refer to > Mathematical Proofs: Table of Contents