Princeton Election Consortium

Innovations in democracy since 2004

Outcome: Biden 306 EV (D+1.2% from toss-up), Senate 50 D (D+1.0%)
Nov 3 polls: Biden 342 EV (D+5.3%), Senate 50-55 D (D+3.9%), House control D+4.6%
Moneyball states: President AZ NE-2 NV, Senate MT ME AK, Legislatures KS TX NC

What do polls and neuroscience have in common?

August 16th, 2016, 10:43am by Sam Wang

Find out in a profile published yesterday on the University’s homepage. Bonus: it may be the only time you will ever find the cerebellum and gerrymandering mentioned in the same article.

Tags: 2014 Election

5 Comments so far ↓

  • Ed Wittens Cat

    pardon, but its order *IN* chaos
    my thesis is that all types of chaos have underlying structure
    but that is still brilliant :)

  • Joseph

    Great article!

    So it did spark a question in my mind: Since you’ve developed this tool to root out gerrymandering, have you actually determined what districts are in fact gerrymandered? Is there a list available somewhere?

    • Sam Wang

      The tool identifies states that are, on a whole, gerrymandered to give political advantage. At that point, one just has to examine the district-by-district vote totals to see which districts have narrow victories, favoring the redistricting party if they did it right; and large victories, in districts where they packed their opponents. It will be obvious. Go run the code at and you will see.

  • Alan Cobo-Lewis

    I give you…the Gerrymonculus

    You’re welcome

  • Fb

    Nice Sam! Also nice shout out on self control in the Atlantic yesterday.

Leave a Comment