In order to take the edge off of my poll watching withdrawal, I’ve gone back to one of my favorite poll-meth (I would be dating myself to call it crack?) dealers… Nate Silver’s Fivethirtyeight blog has a nice breakdown of Obama’s performance among a range of demographic groups compared to Kerry in 2004.
Obama outperformed Kerry in every demographic except seniors, gays and lesbians and “other” religions. What’s most astounding is the breadth of his gains. He made gains among liberals, moderates and conservatives. Which begs a question we discussed in our thick culture podcast today (coming soon!) — do campaigns even matter? Did the lousy economy and unpopularity of President Bush preordain a Republican victory this year? If you’re making gains in groups all along the ideological spectrum, does it really matter what you’re saying?
Comments 2
Kenneth M. Kambara — November 17, 2008
I think campaigns really matter, but then again I'm from a marketing and org./economic sociology background. Could a Republican pulled a "Jedi mind trick" regarding the issues that were making the Republican brand unfavorable? I think so. At least to the point where the electorals were closer. It would have required laying the groundwork over the summer and running a tight, disciplined, and effective campaign. There were a lot of distractions in the campaign and McCain never got any real traction with his various messages. In the end, odds would have been long, as we're talking about winning over voters in competitive states like Ohio, Florida, Virginia, North Carolina, Indiana, and Colorado, at the very least.
I think there was a bit of the Matthew effect going on, where as the race started slipping away from McCain, more and more voters jumped ship. Visibly pulling out of Michigan and Palin criticizing that move the day after made the campaign look weak and disorganized. Things looked pretty dire for GHWB in August of 1988, but he found the right levers to pull and Dukakis fell asleep at the wheel (of the tank). I think there's a lot of causal ambiguity in terms of outcomes. I think a lot of the prediction equations have a lot of spurious correlation in them, so I think examining data should be done cautiously and with a bit of healthy skepticism.
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