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Stylish Risk-Limiting Audits in Practice

dc.contributor.authorGlazer, Amanda K.
dc.contributor.authorSpertus, Jacob V.
dc.contributor.authorStark, Philip B.
dc.contributor.editorVolkamer, Melanie
dc.contributor.editorDuenas-Cid, David
dc.contributor.editorRønne, Peter B.
dc.contributor.editorRyan, Peter Y A
dc.contributor.editorBudurushi, Jurlind
dc.contributor.editorKulyk, Oksana
dc.contributor.editorRodriguez Pérez, Adrià
dc.contributor.editorSpycher-Krivonosova, Iuliia
dc.contributor.editorKirsten, Michael
dc.contributor.editorDebant, Alexandre
dc.contributor.editorGoodman, Nicole
dc.date.accessioned2024-12-13T09:05:07Z
dc.date.available2024-12-13T09:05:07Z
dc.date.issued2023
dc.description.abstractRisk-limiting audits (RLAs) can use information about which ballot cards contain which contests (card-style data, CSD) to ensure that each contest receives adequate scrutiny, without examining more cards than necessary. RLAs using CSD in this way can be substantially more efficient than RLAs that sample indiscriminately from all cast cards. We describe an open-source Python implementation of RLAs using CSD for the Hart InterCivic Verity voting system and the Dominion Democracy Suite voting system. The software is demonstrated using all 181 contests in the 2020 general election and all 214 contests in the 2022 general election in Orange County, CA, USA, the fifth-largest election jurisdiction in the U.S., with over 1.8 million active voters. (Orange County uses the Hart Verity system.) To audit the 181 contests in 2020 to a risk limit of 5% without using CSD would have required a complete hand tally of all 3,094,308 cast ballot cards. With CSD, the estimated sample size is about 20,100 cards, 0.65% of the cards cast—including one tied contest that required a complete hand count. To audit the 214 contests in 2022 to a risk limit of 5% without using CSD would have required a complete hand tally of all 1,989,416 cast cards. With CSD, the estimated sample size is about 62,250 ballots, 3.1% of cards cast—including three contests with margins below 0.1% and 9 with margins below 0.5%.en
dc.identifier.doi10.18420/e-vote-id2023_13
dc.identifier.isbn978-3-88579-741-8
dc.identifier.issn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45435
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofE-Vote-ID 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-347
dc.subjectrisk-limiting audit
dc.subjectelection integrity
dc.subjectcard-style data
dc.titleStylish Risk-Limiting Audits in Practiceen
mci.conference.date3.-6. October 2023
mci.conference.locationLuxembourg
mci.conference.sessiontitleTrack 3: Election and Practical Experiences
mci.reference.pages239-253

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