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One Person, One Vote: Estimating the Prevalence of Double Voting in U.S. Presidential Elections

  • SHARAD GOEL (a1), MARC MEREDITH (a2), MICHAEL MORSE (a3), DAVID ROTHSCHILD (a4) and HOUSHMAND SHIRANI-MEHR (a1)...

Abstract

Beliefs about the incidence of voter fraud inform how people view the trade-off between electoral integrity and voter accessibility. To better inform such beliefs about the rate of double voting, we develop and apply a method to estimate how many people voted twice in the 2012 presidential election. We estimate that about one in 4,000 voters cast two ballots, although an audit suggests that the true rate may be lower due to small errors in electronic vote records. We corroborate our estimates and extend our analysis using data from a subset of states that share social security numbers, making it easier to quantify who may have voted twice. For this subset of states, we find that one suggested strategy to reduce double voting—removing the registration with an earlier registration date when two share the same name and birthdate—could impede approximately 300 legitimate votes for each double vote prevented.

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Copyright

Corresponding author

*Sharad Goel, Assistant Professor, Department of Management Science and Engineering, Stanford University, scgoel@stanford.edu.
Marc Meredith, Associate Professor, Department of Political Science, University of Pennsylvania, marcmere@sas.upenn.edu.
Michael Morse, Ph.D. Candidate, Department of Government, Harvard University, michaellmorse@g.harvard.edu.
**David Rothschild, Economist, Microsoft Research, davidmr@microsoft.com.
††Houshmand Shirani-Mehr, Ph.D. Candidate, Department of Management Science and Engineering, Stanford University, hshirani@stanford.edu.

Footnotes

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We thank TargetSmart for supplying us with a national voter file. We thank Delton Daigle, Robert Erikson, Daniel Hopkins, David Kestenbaum, Dorothy Kronick, and audience members at the Institute for Advanced Study in Toulouse, Yale Behavioral Sciences Workshop, the 2017 Midwest Political Science Association Conference, the 2017 Society for Political Methodology Conference, and the 2018 American Sociological Society Computational Sociology Pre-conference for their comments and suggestions. Replication files are available at the American Political Science Review Dataverse: https://doi.org/10.7910/DVN/QM15HX.

Footnotes

References

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Ahlquist, John S., Mayer, Kenneth R., and Jackman, Simon. 2014. “Alien Abduction and Voter Impersonation in the 2012 US General Election: Evidence from a Survey List Experiment.” Election Law Journal 13 (4): 460–75.10.1089/elj.2013.0231
Alvarez, R. Michael, Hall, Thad E., and Hyde, Susan D.. 2009. “Studying Election Fraud.” In Election Fraud: Detecting and Deterring Electoral Manipulation, ed. Alvarez, R. Michael, Hall, Thad E., and Hyde, Susan D.. Washington, DC: Brookings Institution Press, 1–17.
Ansolabehere, Stephen, and Hersh, Eitan. 2010. “The Quality of Voter Registration Records: A State-by-State Analysis.” In Institute for Quantitative Social Science and Caltech/MIT Voting Technology Project Working Paper. URL: http://hdl.handle.net/1902.1/18550.
Ansolabehere, Stephen, and Hersh, Eitan D.. 2017. “ADGN: An Algorithm for Record Linkage Using Address, Date of Birth, Gender, and Name.” Statistics and Public Policy 4 (1): 1–10.
Ansolabehere, Stephen, and Persily, Nathaniel. 2008. “Vote Fraud in the Eye of the Beholder: The Role of Public Opinion in the Challenge to Voter Identification Requirements.” Harvard Law Review 121 (7): 1737–74.
Barreto, Matt A. 2006. “Do Absentee Voters Differ from Polling Place Voters? New Evidence from California.” Public Opinion Quarterly 70 (2): 224–34.
Beber, Bernd, and Scacco, Alexandra. 2012. “What the Numbers Say: A Digit-Based Test for Election Fraud.” Political Analysis 20 (2): 211–34.10.1093/pan/mps003
Cantú, Francisco, and Saiegh, Sebastián M.. 2011. “Fraudulent Democracy? An Analysis of Argentina’s Infamous Decade Using Supervised Machine Learning.” Political Analysis 19 (4): 409–33.10.1093/pan/mpr033
Christensen, Ray, and Schultz, Thomas J.. 2013. “Identifying Election Fraud Using Orphan and Low Propensity Voters.” American Politics Research 42 (2): 311–37.10.1177/1532673X13498411
Cottrell, David, Herron, Michael C., and Westwood, Sean J.. 2018. “An Exploration of Donald Trump’s Allegations of Massive Voter Fraud in the 2016 General Election.” Electoral Studies 51 (2): 123–42.
Election Assistance Commission. 2013. 2012 Election Administration and Voting Survey. URL: https://www.eac.gov/sites/default/files/eac_assets/1/6/2012ElectionAdministrationandVoterSurvey.pdf
Elmagarmid, Ahmed K., Ipeirotis, Panagiotis G., and Verykios, Vassilios S.. 2007. “Duplicate Record Detection: A Survey.” IEEE Transactions on Knowledge and Data Engineering 19 (1): 1–16.10.1109/TKDE.2007.250581
Enamorado, Ted, Fifield, Benjamin, and Imai, Kosuke. 2019. “Using a Probabilistic Model to Assist Merging of Large-Scale Administrative Records.” American Political Science Review 113 (2): 353–71.
Federal Election Commission. 2013. Federal Elections 2012: Election Results. URL: https://transition.fec.gov/pubrec/fe2012/federalelections2012.pdf.
Fellegi, Ivan P., and Sunter, Alan B.. 1969. “A Theory for Record Linkage.” Journal of the American Statistical Association 64 (328): 1183–210.10.1080/01621459.1969.10501049
Fukumoto, Kentaro, and Horiuchi, Yusaku. 2011. “Making Outsiders’ Votes Count: Detecting Electoral Fraud through a Natural Experiment.” American Political Science Review 105 (3): 586–603.10.1017/S0003055411000268
Fund, John. 2004. Stealing Elections: How Voter Fraud Threatens Our Democracy. San Francisco, CA: Encounter Books.
Garner, Amy. 2019. “Inaccurate Claims of Noncitizen Voting in Texas Reflect a Growing Trend in Republican States.” Washington Post (February 6).
Hasen, Richard L. 2012. The Voting Wars. New Haven, CT: Yale University Press.
Hood, M. V., and Gillespie, William. 2012. “They Just Do Not Vote like They Used to: A Methodology to Empirically Assess Election Fraud.” Social Science Quarterly 93 (1): 76–94.10.1111/j.1540-6237.2011.00837.x
Hopkins, Daniel J., Meredith, Marc, Morse, Michael, Smith, Sarah, Yoder, Jesse. 2017. “Voting But for the Law: Evidence from Virginia on Photo Identification Requirements.” Journal of Empirical Legal Studies 14 (1): 79–128.10.1111/jels.12142
Levitt, Justin. 2007. The Truth About Voter Fraud. New York, NY: Brennan Center for Justice.
Lowry, Bryan. 2015. “Kobach’s Voter Prosecutions Draw Scrutiny to Proof-of-Citzenship Requirement.” Wichita Eagle (October 18).
McDonald, Michael P. 2007. “The True Electorate: A Cross-Validation of Voter Registration Files and Election Survey Demographics.” Public Opinion Quarterly 71 (4): 588–602.
McDonald, Michael P., and Levitt, Justin. 2008. “Seeing Double Voting: An Extension of the Birthday Problem.” Election Law Journal 7 (2): 111–22.
McVeigh, Brendan S., and Murray, Jared S.. 2017. “Practical Bayesian Inference for Record Linkage.” arXiv e-prints.
Mebane, Walter R. 2009. “Election Forensics: The Second-Digit Benford’s Law Test and Recent American Presidential Elections.” In Election Fraud: Detecting and Deterring Electoral Manipulation, eds. Alvarez, R. Michael, Hall, Thad E., and Hyde, Susan D.. Washington, DC: Brookings Institution Press, 162–81.
Miller, Peter, and Powell, Sierra. 2016. “Overcoming Voting Obstacles: The Use of Convenience Voting by Voters with Disabilities.” American Politics Research 44 (1): 28–55.
Minnite, Lorraine. 2010. The Myth of Voter Fraud. Ithaca, NY: Cornell University Press.
Montgomery, Jacob M., Olivella, Santiago, Potter, Joshua D., Crisp, Brian F.. 2015. “An Informed Forensics Approach to Detecting Vote Irregularities.” Political Analysis 23 (4): 488–505.10.1093/pan/mpv023
National Conference of State Legislatures. 2018. Double Voting. URL: https://www.ncsl.org/research/elections-and-campaigns/double-voting.aspx.
Ochsner, Nick. 2016. WBTV News (July 27).10.1007/978-3-658-14237-7_2
People For The American Way. 2012. “SC African American Ministers: Voter Id Decision Shows Continued Need for Voting Rights Act.” Press Release.
Pew. 2012. Inaccurate, Costly, and Inefficient: Evidence that America’s Voter Registration System Needs an Upgrade. URL: https://www.pewtrusts.org/-/media/legacy/uploadedfiles/pcs_assets/2012/pewupgradingvoterregistrationpdf.pdf.
Sadinle, Mauricio. 2017. “Bayesian Estimation of Bipartite Matchings for Record Linkage.” Journal of the American Statistical Association 112 (518), 600–12.
Steorts, Rebecca C., Hall, Rob, and Fienberg, Stephen E.. 2016. “A Bayesian Approach to Graphical Record Linkage and Deduplication.” Journal of the American Statistical Association 111: 1660–72.
Stewart, Charles III, Ansolabehere, Stephen, and Persily, Nathaniel. 2016. “Revisiting Public Opinion on Voter Identification and Voter Fraud in an Era of Increasing Partisan Polarization.” Stanford Law Review 68 (6): 1455–89.
Yancey, William E. 2010. “Expected Number of Random Duplications within or between Lists.” In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association, 2938–46.
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One Person, One Vote: Estimating the Prevalence of Double Voting in U.S. Presidential Elections

  • SHARAD GOEL (a1), MARC MEREDITH (a2), MICHAEL MORSE (a3), DAVID ROTHSCHILD (a4) and HOUSHMAND SHIRANI-MEHR (a1)...

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