January 15, 2008

Hi-Tech Skews for Hillary: The Diebold Effect

Chris Chatham just published these "interesting" findings on Developing Intelligence about a half-an-hour ago: "The Diebold Effect": Hillary's Votes Higher From Diebold Machines Even Controlling for Demographics (education, income, population, etc)

To my complete (and continuing) amazement, the "diebold effect" on Hillary's votes remains after controlling for any and all of those demographic variables, with a p-value of <.001: that is, there are less than 1:1000 odds for this difference occurring through chance alone, and that's after adjusting for variability in Hillary's votes due to education, income, total population, and population density.

While this "diebold effect" varies in magnitude depending on the exact covariates used, it seems to center around an additional 5.2% of votes going for Clinton from Diebold machines. The same analysis shows a Diebold disadvantage for Obama of about -4.2%, significant with a p<.001, using the same covariates.

Chatham also points to a report from the 11th ( "New Hampshire Democratic Primary Election Results Hand Count versus Machine Counts" ) that asks:

"The press has reported that the NH polls erred due to "damsel in distress" and "Bradley" effects2 which caused a last-minute surge for Clinton. Why should there have been such a large "closet racism" or "damsel in distress" vote surge for Clinton exclusively in machine-counted precincts - even of the same size?"
PDF of report is HERE.

UPDATE: Stokes @ Ars Technica has some cautionary thoughts with Analysis: Clinton, Obama, and New Hampshire by the numbers

The e-voting activism world is an odd mix of patriotism, territorialism, and old-fashioned entrepreneurism. Basically, everyone is racing to find that remarkable scoop that's going to get them quoted on CNN.

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Posted by Vanderleun at January 15, 2008 6:27 PM | TrackBack
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"It is impossible to speak in such a way that you cannot be misunderstood." -- Karl Popper N.B.: Comments are moderated and may not appear immediately. Comments that exceed the obscenity or stupidity limits will be either edited or expunged.

This result is most likely another example of how most "researchers" don't know how to control for influential variables properly. They are most likely to pump their data into a linear model and query for a p value. In this case, the "researcher" (Chris Chatham) is not a statistician at all.

BBB

Posted by: bbbeard at January 16, 2008 6:47 AM

In 2004 there was Diebold.

In 2006 there was Diebold 2: Diebolder.

Now coming to a ballot box near you, Diebold With a Vengeance.

Posted by: Gagdad Bob at January 16, 2008 9:55 AM

VAST LEFT WING CONSPIRACY!!!!!!

Posted by: Gary Collard at January 16, 2008 10:27 AM
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