[EL] Twitter "analysis" of waiting in line

[Jack Santucci]

>
> I'd like to see those N-counts weighted in some way. Perhaps by jurisdiction-wide averages of the eminently vague but ubiquitous "sophistication" measures we throw around in political science. Or even just a tweets-per-capita measure. Or the time at which "Twitterati" tended to show up to vote.
>
> I worked the polls today in DC. The hours of 7-11 AM saw an unusually high number, in my two-year experience, of voters ready to pounce about long lines, various rare situations in which an ID was necessary, and so forth. Most complaints were both aggressive and half-informed/developed. Most probably came from people who wake up at 4:30 AM to jog. (No offense. You're better people than I on some metrics.)
>
> Twitter is the IRC chat room of our time. Take it with a grain of salt.
>
> But don't let me generalize from an N_precincts of 1.
>
> Jack
>
>
> On Nov 7, 2012, at 1:49, Rick Hasen <rhasen at law.uci.edu> wrote:
>
>  <http://electionlawblog.org/>
> “Which State’s Voters Had To Wait the Longest, According to                 Their Tweets?” <http://electionlawblog.org/?p=43677>
> Posted on November 6, 2012 8:07 pm <http://electionlawblog.org/?p=43677> by Rick Hasen <http://electionlawblog.org/?author=3>
>
> Interesting <http://www.slate.com/blogs/future_tense/2012/11/06/voting_wait_times_which_state_s_voters_faced_the_longest_lines.html>.
> <share_save_171_16.png> <http://www.addtoany.com/share_save#url=http%3A%2F%2Felectionlawblog.org%2F%3Fp%3D43677&title=%E2%80%9CWhich%20State%E2%80%99s%20Voters%20Had%20To%20Wait%20the%20Longest%2C%20According%20to%20Their%20Tweets%3F%E2%80%9D&description=>
> Posted in election administration <http://electionlawblog.org/?cat=18> | Comments Off
>
> --
> Rick Hasen
> Chancellor's Professor of Law and Political Science
> UC Irvine School of Law
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> 949.824.0495 - faxrhasen at law.uci.eduhttp://law.uci.edu/faculty/page1_r_hasen.htmlhttp://electionlawblog.org
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