A Quantitative and Qualitative Analysis of the Robustness of (Real-World) Election Winners
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Abstract (arXiv)
Contributing to the toolbox for interpreting election results, we evaluate the robustness of election winners to random noise. We compare the robustness of different voting rules and evaluate the robustness of real-world election winners from the Formula 1 World Championship and some variant of political elections. We find many instances of elections that have very non-robust winners and numerous delicate robustness patterns that cannot be identified using classical and simpler approaches.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Aug 2022.
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Citing papers per year: 2024: 1; 2025: 1; 2026: 2.
4 papers.
- 2024An evaluation framework for synthetic data generation modelscited by 5
- 2025Drawing a Map of Electionscited by 4
- 2026Finding Common Ground in a Sea of Alternativescited by 1
- 2026How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustnesscited by 1
- 2026How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustness22 May 2026
- 2026Finding Common Ground in a Sea of Alternatives17 Mar 2026
- 2025Drawing a Map of Elections4 Apr 2025
- 2024An evaluation framework for synthetic data generation models13 Apr 2024