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Assorter-Based RLAs for Complex Sainte-Laguë Elections: Reducing sample sizes by trusting manually counted ballots

Budurushi, Jurlind; Hilt, Tobias ORCID iD icon 1; Mack, Christian ORCID iD icon 1; Teague, Vanessa; Volkamer, Melanie ORCID iD icon 1
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

In several states of Germany, elections for the city council are very complex. They allow voters to cast their vote for one party (so called unchanged ballots) or to distribute their votes to individual candidates from one or several parties (so called changed ballots). While the unchanged ballots are manually tallied by the poll workers, the changed ones are entered into tallying software. We study how to use assorter-based Risk Limiting Audits (RLAs) for such elections. We examine whether we can reduce sample sizes for a given risk limit by focusing the audit on the changed ballots, i.e., not trusting the tallying software.


Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 06.03.2026
Sprache Englisch
Identifikator KITopen-ID: 1000193592
HGF-Programm 46.23.01 (POF IV, LK 01) Methods for Engineering Secure Systems
Erschienen in Voting'26
Veranstaltung 11th Workshop on Advances in Secure Electronic Voting (VOTING 2026), Basseterre, St. Kitts und Nevis, 05.03.2026 – 06.03.2026
Verlag Springer
Bemerkung zur Veröffentlichung in press
Schlagwörter Risk Limiting Audits, Complex Election Rules
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