Evaluating Election Performance in the Era of the Big Lie

Our post today is from the MIT Election Lab’s Elections Performance Index site, and was written by Charles Stewart III, director of the MIT Election Data + Science Lab and Kenan Sahin Distinguished Professor of Political Science at MIT. An excerpt of the article is below; follow the link for the full text.

With the release of the Election Administration and Voting Survey by the U.S. Election Assistance Commission last week, updating the Elections Performance Index for the 2020 election is now in full swing.

A decade ago, the EPI was created to shift the debate about election policy in a fact-based direction. As designed by the Pew Charitable Trusts and now continued by the MIT Election Data and Science Lab, the EPI is grounded in the notion that elections in the U.S. should be convenient and secure. Objectively measured and presented, an election system’s vital signs provide a glimpse into how these twin goals are being met.

By now, with six federal elections under our belt, updating the EPI for a new election should be routine. This time, it’s not.

Read the article on our Election Performance Index website at this link:

https://elections-blog.mit.edu/articles/evaluating-election-performance-era-big-lie