#  Shiro Kuriwaki (Applied stats Workshop) 

 



####  calendar\_today Date and Time 

 **February 26, 2025** 

 12:00PM - 01:30PM EST 

####  pin\_drop Location 

 **CGIS Knafel room K354, or virtual via Zoom**  



 

 



 

###  **Zoom link below.** 

##  Today's Speaker

 Shiro Kuriwaki (Yale),"Privacy Violations in Election Results"

 Link to paper: <https://arxiv.org/abs/2308.04100>

##  Abstract

 After an election, should election officials release a copy of each anonymous ballot? When reporting election results, democracies face a difficult tradeoff between promoting transparency and protecting individual privacy. Some U.S. policymakers have championed public disclosure to counter distrust in recent years, but others worry that it might undermine the secret ballot. 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 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 tradeoff inherent in all election reporting.

##  Workshop Zoom link

 <https://harvard.zoom.us/j/92249492877?pwd=HYzHOx0PjJAsAPj8FSm1j2WTDzMr8f.1>

 *The Applied Statistics Workshop (Gov 3009) meets all academic year, Wednesdays, 12pm-1:30pm, in CGIS K354. This workshop is a forum for advanced graduate students, faculty, and visiting scholars to present and discuss methodological or empirical work in progress in an interdisciplinary setting. The workshop features a tour of Harvard's statistical innovations and applications with weekly stops in different fields and disciplines and includes occasional presentations by invited speakers.  
  
All interested Harvard affiliates are invited to attend.*



 

 



 

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