Minnesota

Building a Voter File: News You Can Use

Submitted by Blue Leader on Mon, 01/12/2009 - 18:41

Editor's note: Today's will be part 1 of a special two-day Building a Voter File extravaganza! Quite frankly, this topic is just too awesome to be tackled in one entry, so check back tomorrow for the thrilling conclusion.

Nate Silver had an interesting conjecture recently, in a post about how exactly Norm Coleman got his list of "improperly rejected ballots" in the never-ending Minnesota Senate race:

What I suspect Coleman did to come up with his list of 650 is something like this:

- Create a database of all ballots that were rejected for a non-matching signature ... maybe there were 1500 of these or something statewide.

- Run some algorithm to determine the likelihood of each of these 1500 ballots being a vote for Coleman as based on things like the precinct the ballot was cast in, any information Coleman has about the voter in his voter file, and perhaps even the voter's name (you can tell more than you'd think about someone based on their first and last name).

- All ballots determined by this algorithm to have a >50% likelihood of being Coleman votes were included on his list ... there turned out to be about 650 of these.

There's more beneath the fold:

»
Syndicate content