Resources

In this paper, authors match a high-quality, random sample of the U.S. population to multiple lists revealing that at least 11% of the adult citizenry is not on a voter list. An additional 12% is mislisted (i.e., not living at their recorded address).

This research analyzes registrants in Wisconsin who were identified as potential movers and did not respond to a subsequent postcard. At least 4% of these registrants cast a ballot at their address of registration, with minority registrants twice as likely as white registrants to do so.

This paper shows how reporting data at the ballot-card level can reduce risk limiting audits sample sizes and improve audit efficiency.

This report discusses ballot-accounting audits as a complementary check to tabulation audits, emphasizing reconciliation and chain of custody.

In this paper, authors examine the effects of automatic voter registration (AVR) on both registration and turnout. They find that ind it does raise registration rates substantially, that the effect of AVR gradually builds the longer it is in place, and that the different types of AVR have significantly different effects on both registration and turnout.

This report provides a national overview of post-election audits, audit types, history, and state practices across the United States.

This book examines the dynamics behind shifts in voter registration rates across the states.

In this paper, authors use snapshots of voter registration files (VRF) over time and machine learning models to test the effectiveness of unsupervised anomaly detection methods in detecting VRF modifications. They find that statistical models comparing administrative districts within a short time span and non-negative matrix factorization are most effective for surfacing anomalous events for review.

CEIR has surveyed states about voter registration database security every two years since 2018. These surveys have demonstrated widespread best practices in respondent states.

In this report, Morrell guides jurisdictions through planning and conducting risk limiting audits pilots, including stakeholder preparation, logistics, and post-pilot evaluation.

This research finds that when automatic voter registration (AVR) is endorsed by Democratic leaders, Republicans (and independents) expect AVR to reduce the fairness and legitimacy of elections, while Democrats are generally resistant to partisan cues.

In this article, using data from Orange County, California, the researchers develop two methods for evaluating the quality of voter registration data as it changes over time: (a) generating audit data by repeated record linkage across periodic snapshots of a given database and monitoring it for sudden anomalous changes and (b) identifying duplicates via an efficient, automated duplicate detection, and tracking new duplicates and deduplication efforts over time.