Due to the cooperative grassroots nature of this effort, I cannot guarantee the accuracy of the data file - the information has come from a variety of sources and I won't claim to have verified it all. Furthermore, I'm not a statistician - I'm waiting on the Social Science Statistics Blog (Harvard) and the Statistical Modeling Blog (Columbia) to weigh in. However, my analysis seems in line with this paper about the 2004 NH democratic primary.

NONETHELESS ... the general conclusion is buttressed by the following analyses, all of which have come to similar conclusions:

- Elecion Archive's analysis

- This one by an econ professor at Dartmouth.

- The european tribune reviews the case, with a variety of analyses

- An analysis using R

- BrFox's analysis

As you can see, something appears to be highly amiss. There may be an unmeasured third variable (it's probably not urban vs rural) or there may be something more nefarious.

Draw your own conclusions. Here are all the data files:

- The correct list of NH precincts using Diebold machines

- Mark Shauer's List of Votes in NH precincts, Brian Fox's data of the same, and Semmelweiss's data of the same

- NH town square mileage, for calculating population density

- My "mega file" with all demographic information, squaremileage, and voting information (UPDATED: now also with county membership)

- NEW: Latitude and longitude for each NH precinct, for use in spatial autocorrelation models

Track the ongoing developments at BlackBoxVoting.

Also look out for updates from the Election Defense Alliance