Poll Analysis: Obama Gains Ground on McCain

Obama McCain
38.9% probability of winning 59.4% probability of winning
Mean of 264 electoral votes Mean of 274 electoral votes

Electoral College Map

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On Monday, Sen. Barack Obama had slipped to only a 13% chance of winning a general election against Sen. John McCain. In fact, Obama’s performance was below Sen. Hillary Clinton’s performance in a match-up with McCain.

Today, Rasmussen released a new poll in Missouri that shows McCain leading Obama, 53% to 38%.

Now, after 10,000 simulated elections, Obama wins 3,893 times (plus the 169 ties), and McCain wins 5,938 times. This suggests that Obama has a 38.9% (plus 1.7% for the ties) probability of beating McCain in a general election held today. McCain has a 59.4% probability of winning. Obama now performs better against McCain than does Clinton.

What is responsible for Obama’s surge? It isn’t the Missouri poll. Obama still has no probability of winning in that state. But, an older Texas poll expired, and the remaining poll increases Obama’s chances of winning that state’s 34 Electors from 0% to 38.5%.

Here is the distribution of electoral votes [FAQ] from the simulations:

  • 10000 simulations: Obama wins 38.9%, McCain wins 59.4%.
  • Average ( SE) EC votes for Obama: 263.7 ( 21.4)
  • Average (SE) EC votes for McCain: 274.3 ( 21.4)
  • Median (95% CI) EC votes for Obama: 261 (229, 307)
  • Median (95% CI) EC votes for McCain: 277 (231, 309)
State EC Votes # polls Total Votes % Obama % McCain Obama %wins McCain %wins
Alabama 9 2 1094 39.4 60.6 0.0 100.0
Alaska 3 1 561 47.2 52.8 9.2 90.8
Arizona 10 1 552 43.3 56.7 0.2 99.9
Arkansas 6 3 1299 36.8 63.2 0.0 100.0
California 55 3 1454 57.2 42.8 100.0 0.0
Colorado 9 2 1033 52.8 47.2 95.8 4.2
Connecticut 7 2 1010 59.6 40.4 100.0 0.0
Delaware 3 1 553 55.0 45.0 98.6 1.4
D.C. 3 0 (100) (0)
Florida 27 3 1581 46.8 53.2 0.9 99.1
Georgia 15 2 1028 43.1 56.9 0.0 100.0
Hawaii 4 1 546 66.3 33.7 100.0 0.0
Idaho 4 1 553 42.9 57.1 0.1 99.9
Illinois 21 1 546 65.9 34.1 100.0 0.0
Indiana 11 1 524 45.0 55.0 1.6 98.4
Iowa 7 2 1049 54.1 45.9 99.9 0.1
Kansas 6 2 1008 44.2 55.8 0.0 100.0
Kentucky 8 2 1019 34.3 65.7 0.0 100.0
Louisiana 9 1 650 42.0 58.0 0.0 100.0
Maine 4 1 588 57.7 42.3 100.0 0.0
Maryland 10 2 1288 57.5 42.5 100.0 0.0
Massachusetts 12 3 1513 52.7 47.3 97.6 2.4
Michigan 17 2 1010 49.6 50.4 38.5 61.5
Minnesota 10 3 1498 51.9 48.1 94.1 5.9
Mississippi 6 1 591 43.1 56.9 0.1 99.9
Missouri 11 3 1516 43.8 56.2 0.0 100.0
Montana 3 1 551 45.4 54.6 2.0 98.0
Nebraska 5 1 542 48.3 51.7 20.5 79.5
Nevada 5 2 962 52.6 47.4 94.3 5.8
New Hampshire 4 2 1018 49.9 50.1 47.3 52.7
New Jersey 15 2 980 49.5 50.5 35.8 64.2
New Mexico 5 2 1057 53.5 46.5 98.9 1.1
New York 31 4 2795 56.4 43.6 100.0 0.0
North Carolina 15 2 952 47.1 52.9 4.0 96.0
North Dakota 3 1 503 52.3 47.7 85.7 14.3
Ohio 20 4 2050 48.7 51.3 10.1 89.9
Oklahoma 7 1 569 40.1 59.9 0.0 100.0
Oregon 7 2 1042 54.7 45.3 100.0 0.0
Pennsylvania 21 3 2068 48.3 51.7 5.6 94.4
Rhode Island 4 1 572 58.2 41.8 100.0 0.0
South Carolina 8 1 554 48.4 51.6 20.9 79.1
South Dakota 3 2 999 46.2 53.8 0.6 99.4
Tennessee 11 2 1103 40.9 59.1 0.0 100.0
Texas 34 1 558 49.5 50.5 38.5 61.5
Utah 5 1 541 43.8 56.2 0.4 99.6
Vermont 3 2 948 65.6 34.4 100.0 0.0
Virginia 13 2 1086 50.3 49.7 58.1 41.9
Washington 11 3 1490 54.7 45.3 100.0 0.0
West Virginia 5 1 540 39.8 60.2 0.0 100.0
Wisconsin 10 2 1028 54.2 45.8 99.9 0.1
Wyoming 3 1 508 39.4 60.6 0.0 100.0

Details of the methods are given in the FAQ.

The most recent analysis in this and other match-ups can be found from this page.

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2 Responses to “Poll Analysis: Obama Gains Ground on McCain”

  1. CoolAqua Says:

    Darryl
    You’re doing a lot of work, and I commend your efforts. There are many different ways of making projections, and I don’t think anyone has a lock on the “correct” way.

    Because you update your results so frequently, they are somewhat reminiscent of listening to a stock market report on any individual day. A single days values just don’t provide that much meaning.

    With this in mind, I would recommend that you start to graph your results over time and present them along with your updates. That would put the data in more context by shhowing how it varies over time.

    While I beleive these projections are really a window into the past, I do beleive they are important because you can then start to juxtapose what happened historically a few days before the polls were updated, to see how the public is responding to various inputs.

    I am somewhat dubious on how polls and projections are made. I’m concerned that they don’t capture the disconnect between “favorability” ratings, and “who would you vote for” ratings. These rating are wildly diverging at the present time, this usually points to a problem when this happens in the stock market.

    Regardless of this, as long as you keep your methodology consistent, you data provides yet another view of this race.

    Please keep up the good work, and consider putting your results in some form of summary like a graph vs time.

  2. Darryl Says:

    Hi Pete,

    “With this in mind, I would recommend that you start to graph your results over time and present them along with your updates. That would put the data in more context by shhowing how it varies over time.”

    I occasionally do that and typically post an animation of the map and electoral vote distribution at the same time.

    For example in this post on 17 Mar, I included this graph:

    The graph involved weekly simulations conducted over an eight month period. And, yes, each time I do one of these graphs, I redo all the simulations. Why? Because (1) some pollsters hold onto their polls for a couple of weeks before releasing them to the public, (2) sometimes I discover an error I made in an old poll, (3) sometimes I learn about old polls and add them to the data set.

    I could store all old results and then figure out what dates must be rerun, but it seems a lot easier to simply let the computer spend an hour re-running the old analyses.

    BTW: I’ll post a trend graph over eight months late this evening.

    “While I beleive these projections are really a window into the past, I do beleive they are important because you can then start to juxtapose what happened historically a few days before the polls were updated, to see how the public is responding to various inputs.”

    Yep…I agree completely. Plus…it is fun to know the “score” at any point in the game….

    “I am somewhat dubious on how polls and projections are made. I’m concerned that they don’t capture the disconnect between “favorability” ratings, and “who would you vote for” ratings. These rating are wildly diverging at the present time, this usually points to a problem when this happens in the stock market.”

    Maybe…I just take the polls as imperfect data and try to learn what I can from them. I do avoid projections and try to make clear that the results are what would happen if the election were held now. (BTW: I have done projections before, but I restrict that to a day or two prior to an election The projections involve different techniques.)

    “Regardless of this, as long as you keep your methodology consistent, you data provides yet another view of this race.”

    Exactly! It will be interesting to compare different methods and how they compared over time. I am particularly intrigued by the “markets.”

    “Please keep up the good work, and consider putting your results in some form of summary like a graph vs time.”

    Thanks. I’ll try to incorporate more time trend stuff perhaps by leaving out the animations, which are large and chew up bandwidth.

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