Event Description:
About a quarter of Americans report believing that double voting is a relatively common occurrence, casting doubt on the integrity of elections. But, despite a dearth of documented instances of double voting, it’s hard to know how often such fraud really occurs (people might just be good at covering it up!). Goel will describe a simple statistical trick to directly estimate the rate of double voting — one that builds off the classic “birthday problem” — and show that such behavior is exceedingly rare. He will further argue that current efforts to prevent double voting can in fact disenfranchise many legitimate voters.
Event Speaker:
Sharad Goel, Assistant Professor, Department of Management Science & Engineering, Stanford University
Event Information:
Free and open to the public. Reserve your seat on the event webpage. Email the Data Science Institute with any questions. This event is hosted by The Data Science Institute Working Group on Computational Social Science in conjunction with The Columbia Population Research Center as part of their Data for Good series.
