J.J. (aka Rich Karlgaard from Forbes): The Bradley-effect will return this year! (user search)
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  J.J. (aka Rich Karlgaard from Forbes): The Bradley-effect will return this year! (search mode)
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Author Topic: J.J. (aka Rich Karlgaard from Forbes): The Bradley-effect will return this year!  (Read 1384 times)
I spent the winter writing songs about getting better
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« on: September 17, 2012, 11:48:50 AM »

First, I think was a Bradley Effect, i.e. people lying to pollster because of race, in the 1980's and 1990's, but it was dwindling over time.  It arguably was there in some statewide races in the 2000's but it was not strong.

Second, the states where I though it would be pronounced, PA, OH, it was not there.  The PA numbers were right on.

Third, there were states where it looked like it happened, IA, where I never would have expected it.  There also seem to be cases where voters lied to the pollsters, but they said they were voting for McCain and voted for Obama.  That seemed to be in AZ and NM, and may be tied to voters of Mexican ancestry.  (A study from Harvard indicated that during the primaries, Obama underpolled with African-American voters.  Basically, they didn't want to look like they were voting for Obama just because he was black.)

Fourth, in trying to see if there were more states where Obama underpolled, there is the problem that a several large states were not polled.  I had found one poll within a month of the election in NY.  Obama overpolled and overpolled outside of the MOE.  The poll was not in a week of the election, and it was not a major polling firm.  Was that because of the electorate shifting toward the end?  Was it because the methodology of poll was bad?  Was it because a significant number of people didn't want the pollster to think they were voting for McCain because Obama was black?

The only thing that we can say is that Obama overpolled on some normally good nation polls, like Gallup, but didn't on some others, Rasmussen and PPP.  (And 2008 made PPP.)

Summarized: If a black candidate ever overpolls, it must be assumed that the reason is the Bradley Effect and not any other plausible explanation (even it simply being a bad poll), even if there is plenty of evidence toward a different explanation.
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I spent the winter writing songs about getting better
BRTD
Atlas Prophet
*****
Posts: 113,326
Ukraine


Political Matrix
E: -6.50, S: -6.67

P P
« Reply #1 on: September 17, 2012, 01:47:42 PM »

The first bolded part is a complete myth, Bradley led by double digits...a few weeks before the election. The election was obviously tightening and he had only a single point lead in the final poll. Furthermore Bradley actually won amongst voters that day, he was defeated by absentees, and it's easy to see that absentee polling in 1982 wouldn't have been too good. It's possible in the 1982 Gubernatorial race there was nothing wrong with the polls at all, and Bradley was simply done in by a flukish surge against him caused by an NRA-backed absentee GOTV campaign against a defeated gun control measure on the ballot.

The second bolded part is an answer in search of a question, New Mexico's quirkiness and unpredictableness in elections is notorious, and it's not too hard to see why undecideds might have a swing toward McCain in the last few days in Arizona. It is absurd to assume that any polls being off is due to voters lying and ignoring all other possible explanations. Furthermore it's quite obvious if you look at the polls and actual results that once again in typical fashion J. J. is cherry-picking data to fit his narrative:

Arizona:
https://uselectionatlas.org/POLLS/PRESIDENT/2008/pollsa.php?fips=4
https://uselectionatlas.org/RESULTS/state.php?year=2008&fips=4&f=1&off=0&elect=0

New Mexico:
https://uselectionatlas.org/POLLS/PRESIDENT/2008/pollsa.php?fips=35
https://uselectionatlas.org/RESULTS/state.php?year=2008&fips=35&f=1&off=0&elect=0

Now there's a very key column in the polling data that J. J. always ignores. It's third from the right.

The last point can be easily explained by reading this: http://en.wikipedia.org/wiki/Margin_of_error
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