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Towards Computing Victory Margins in STV Elections

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arxiv 1703.03511 v2 pith:SQQWNMDM submitted 2017-03-10 cs.GT

Towards Computing Victory Margins in STV Elections

classification cs.GT
keywords electionscomputingelectionvotealgorithmscandidatesmarginsvictory
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The Single Transferable Vote (STV) is a system of preferential voting employed in multi-seat elections. Each vote cast by a voter is a (potentially partial) ranking over a set of candidates. No techniques currently exist for computing the margin of victory (MOV) in STV elections. The MOV is the smallest number of vote manipulations (changes, additions, and deletions) required to bring about a change in the set of elected candidates. Knowledge of the MOV of an election gives greater insight into both how much time and money should be spent on the auditing of the election, and whether uncovered mistakes (such as ballot box losses) throw the election result into doubt---requiring a costly repeat election---or can be safely ignored. In this paper, we present algorithms for computing lower and upper bounds on the MOV in STV elections. In small instances, these algorithms are able to compute exact margins.

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  1. Advances in STV Margin Computation

    cs.GT 2026-07 conditional novelty 5.0

    Tighter (often exact) STV election margins are computed with improved bound heuristics and pruning, making mismatch-based risk-limiting audits practical for real elections.