After an election, should election officials release a copy of each anonymous ballot? Some policy-makers have championed public disclosure to counter distrust, but others worry that it might undermine ballot secrecy. We introduce the term vote revelation to refer to the linkage of a vote on an anonymous ballot to the voter's name in the public voter file and detail how such revelation could theoretically occur. Using the 2020 election in Maricopa County, Arizona, as a case study, we show that the release of individual ballot records would lead to no revelation of any vote choice for 99.83% of voters as compared to 99.95% under Maricopa's current practice of reporting aggregate results by precinct and method of voting. Further, revelation is overwhelmingly concentrated among the few voters who cast provisional ballots or federal-only ballots. We discuss the potential benefits of transparency, compare remedies to reduce or eliminate privacy violations, and highlight the privacy-transparency trade-off inherent in all election reporting.
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http://dx.doi.org/10.1126/sciadv.adt1512 | DOI Listing |
Sci Adv
March 2025
University of Pennsylvania Carey Law School, Philadelphia, PA, USA.
After an election, should election officials release a copy of each anonymous ballot? Some policy-makers have championed public disclosure to counter distrust, but others worry that it might undermine ballot secrecy. We introduce the term vote revelation to refer to the linkage of a vote on an anonymous ballot to the voter's name in the public voter file and detail how such revelation could theoretically occur. Using the 2020 election in Maricopa County, Arizona, as a case study, we show that the release of individual ballot records would lead to no revelation of any vote choice for 99.
View Article and Find Full Text PDFPeerJ Comput Sci
February 2025
Institute Science of Mathematics, Universiti Malaya, Petaling Jaya, Kuala Lumpur, Malaysia.
The transmission of healthcare data plays a vital role in cities worldwide, facilitating access to patient's health information across healthcare systems and contributing to the enhancement of care services. Ensuring secure healthcare transmission requires that the transmitted data be reliable. However, verifying this reliability can potentially compromise patient privacy.
View Article and Find Full Text PDFJ Korean Med Sci
March 2025
Department of Information and Statistics, Department of Bio & Medical Big Data, Research Institute of Natural Science, Gyeongsang National University, Jinju, Korea.
The utilization of health insurance claims data has expanded significantly, enabling researchers to conduct epidemiological studies on a large scale. This review examines key statistical methods for addressing baseline differences and conducting cohort analyses using Korean National Health Insurance claims data. Propensity score matching and inverse probability of treatment weighting are widely used to mitigate selection bias and enhance causal inference in observational studies.
View Article and Find Full Text PDFCult Health Sex
February 2025
Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Advertisements for menstrual products and how they are perceived by viewers vary culturally. In Hungary, where menstrual education is a neglected field, the role of the media in conveying menstrual knowledge is particularly important. Comments from adult menstruating women on three different menstrual product advertising videos were analysed using thematic analysis.
View Article and Find Full Text PDFJ Nephrol
February 2025
Data Science Division, EMEA, APAC, LATAM Regions - Clinical Advanced Analytics, Global Medical Office, Fresenius Medical Care, Italia Spa, Crema, Italy.
Background: The management of patients with non-dialysis dependent chronic kidney disease (NDD-CKD) is challenging due to coexisting diseases, competing risks and uncertainties around optimal transition planning. Such clinical challenges are further exacerbated by physician shortage, coupled with rising service demands, which may hinder timely medical access due to long waiting times. Accurate progression risk assessment may help optimize resource allocation and adapting care based on individual patients' needs.
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