How Massachusetts Votes Shifted
Charles Franklin | January 20, 2010
By Charles Franklin | January 20, 2010 5:05 AM | Permalink | Comments (6) | TrackBacks (0)
Comments
Just to be clear, here are the raw aggregate MA vote numbers on which this excellent comparison is based:
McCain MA 2008: 1,104,284
Brown MA 2010: 1,168,107 (106% 2008 McCain)
Obama MA 2008: 1,891,083
Coakley MA 2010: 1,058,682 (56% 2008 Obama)
If you showed Brown % of McCain vote against McCain vote fraction that would tell you whether there was an enthusiasm gap or a voter-preference shift. (In short, "no strong correlation" means enthusiasm gap, anti-correlation means voter shift, and positive correlation is puzzling but means something like "local density-dependent enthusiasm gap".)
If I look at the centroids of the red and blue dot regions in the last plot, and use those as some proxy for original McCain vote, it seems as if the Brown points closer to the Coakley centroid have lower percentages, which would tend to mean positive correlation. But I'm not sure I'm really reading that correctly.
Coakley ran the worst campaign I have ever seen in my life. I will say that it is a referendum on the Obama agenda, and the delays on the fact that the Dems in the house and senate take so long on a deal. Americans want results fast, and they want a president who can take charge. Obama didn't do that the past few months. I honestly think if I didn't know anything about politics and saw just how poorly Coakley came across by telling Catholics not to work at hospitals to provide emergency contraception, and she didn't explain why Brown defended waterboarding. She came across as abrasive, and nobody knew who Martha was. She went on a vacation for a week while the GOP operatives had a secret plan in the works to run a huge PR campaign against her. This is a victory that even Karl Rove couldn't have pulled off in Mass. Very very frustrating time to be a progressive. I still hate 60 vote fillbuster though. I think it should be 55. I support the majority rule system, and if we have to wait on 60 votes under this president we have, absolutely nothing will get passed, because the GOP would rather spend their time fillibustering than actually accomplishing anything.
What binning did you use for the distribution?
HansG-- sorry if it isn't clear. Writing at 4 in the morning may be part of it. The plots are of the distributions of votes, not percentage shares. The votes are on a log10 scale because of the wide range of magnitudes in sizes of Mass. towns.
AlexW, by binning I assume you mean the "width" as R calls it. The value I use is .4, which isn't intrinsically very meaningful. I settled on a value that showed a bit of detail but didn't become too rough. wid=.25 and the distribution is very erratic. .5-.6 and it oversmooths so there is no detail.
Since people sometimes ask, here is the code, though the formatter will probably eat it.
pdf(file="MASenDens2.pdf",width=9,height=9)
par(mfcol=c(2,2))
plot(density(log10(dem),wid=.4),xlim=c(1,5.5),ylim=c(0,1),col=4,lwd=4, main="Coakley Votes vs Brown Votes",axes="F",xlab="log10(Votes)")
axis(1,at=c(0,1,2,3,4,5), label=c(0,10,100,1000,10000,format(100000,scientific=F)))
axis(2)
lines(density(log10(rep),wid=.4),lwd=4,col=2)
plot(density(log10(dem),wid=.4),xlim=c(1,5.5),ylim=c(0,1),col=4,lwd=4, main="Coakley Votes vs Obama Votes",axes="F",xlab="log10(Votes)")
axis(1,at=c(0,1,2,3,4,5), label=c(0,10,100,1000,10000,format(100000,scientific=F)))
axis(2)
lines(density(log10(obama),wid=.4),lwd=4, col=bluesPal[5])
plot(density(log10(dem),wid=.4),type="n",axes="F",xlab="",ylab="",main="")
plot(density(log10(rep),wid=.4),xlim=c(1,5.5),ylim=c(0,1),col=2,lwd=7, main="Brown Votes vs McCain Votes",axes="F",xlab="log10(Votes)")
axis(1,at=c(0,1,2,3,4,5), label=c(0,10,100,1000,10000,format(100000,scientific=F)))
axis(2)
lines(density(log10(mccain),wid=.4),lwd=3,col=redsPal[3])
par(mfcol=c(1,1))
pavlogo(adj=-.5,padj=.85)
dev.off()
I know a few things about polling, but I don't understand this post.
Normally Pollster.com writes in an accessible style. Could you maybe explain what distribution we are looking at, exactly?
Posted on January 20, 2010 6:01 AM