National Polls Give Clinton a Small Lead
Three new national polls released yesterday give Hillary Clinton leads of 1 point, 5 points, and 5 points, respectively, for an average of 3.7 points. Here are the numbers:
Sponsor | Pollster | Clinton | Trump | Johnson | Stein |
Investor’s Business Daily | TechnoMetrica | 45% | 44% | 5% | 2% |
WSJ/NBC | (Not stated) | 48% | 43% | 6% | 2% |
Washington Post/ABC News | Abt-SRBI | 48% | 43% | 4% | 2% |
With a lead of almost 4 points, it is almost certain that if these numbers hold, she will also win the Electoral College.
Prediction Models Agree that Clinton Will Beat Trump
We don’t deal in probabilities here because that only makes sense when you can repeat the experiment. If a weather forecaster predicts an 80% chance of rain tomorrow, the forecaster can be rated by looking at the most recent 100 times that the prediction was 80% and see if it indeed rained on about 80 of them. With elections that doesn’t work, so we just stick to looking at the state polls. Based strictly on state polls, it looks like Clinton will win tomorrow.
Nevertheless, other election forecasters do deal in probabilities, which always involves some model, and the models differ. The simplest model looks at the state polls and runs a Monte Carlo experiment. For example, if a poll says Hillary Clinton is going to get 47% ± 4% in Florida, on each run a number is chosen from the range 43% to 51% either uniformly or according to a Gaussian (normal) distribution. This is done for each state based on the polls of that state and the electoral votes are tallied for that run. Then a million runs are made and the fraction of runs in which she gets 270 electoral votes is called the probability that she wins. But even in this model, there are many choices to be made. Does only the last poll count? How about the last three polls or the last week of polls? Are the pollsters weighted for past performance? Is a uniform or Gaussian distribution used? Are other factors used? The wide varieties of choices the modelers make accounts for the differences in predictions. That said, here are some current predictions that Clinton wins.
Predictor | Chance Clinton wins |
FiveThirtyEight | 65% |
New York Times | 84% |
Daily Kos | 87% |
PredictWise | 89% |
Huffington Post | 98% |
Princeton Election Consortium | 99% |
All the models say Clinton will win, but the range is 65% to 99%. This rather broad spread, with FiveThirtyEight the outlier, has been the source of much commentary in recent weeks. And the commentary reached something of a fever pitch this weekend, when the Huffington Post’s Ryan Grim slammed FiveThirtyEight’s Nate Silver, accusing the polling guru of “unskewing” polls in Trump’s favor, through what Silver calls a “trend line adjustment.” Grim writes that, “He may end up being right, but he’s just guessing. A ‘trend line adjustment’ is merely political punditry dressed up as sophisticated mathematical modeling.”
Grim is certainly right about one thing (see below), but otherwise he’s probably overstating the case. Silver isn’t pulling his numbers from thin air (as the original unskewer, Dean Chambers, was). The results that the FiveThirtyEight model produces are, as the New York Times’ Josh Katz points out, primarily the product of two major assumptions that Silver has made. The first is that his model is ultra-sensitive to daily changes in the polls (aka “shiny object chasing”). The second is that his model assumes that shifts in one state tend to result in equivalent shifts in similar/neighboring states (aka “correlation”). This means that the FiveThirtyEight model would be expected, for example, to change rapidly in response to James Comey’s announcement 11 days ago (as it did). And it will likely change rapidly again, now that Comey has said there was nothing on the laptop.
Katz, for his part, is mildly critical of the choices Silver has made, explaining that the Times prefers to be a bit more conservative. Princeton’s Sam Wang—who has done battle with Silver before—is a bit more critical, arguing that FiveThirtyEight’s model likely double-counts swings in polls. Vox’s Andrew Proskop, by contrast, defends Silver’s approach.
As we note above, these aren’t the only assumptions and decisions that a pollster makes. And this brings us to the part that Ryan Grim is 100% correct about: Polling is a science, yes, but it also incorporates a fair bit of art. Anyone who suggests otherwise (as Silver is sometimes wont to do) is not being 100% forthright with their audience.
Betting Markets Say Clinton Will Win
While the polls lag behind the news, the betting markets are real time. The instant important news appears, bettors can place or sell bets so this might give a more up-to-date picture, although in the past, betting markets have gotten it wrong on occasion. Here is what some of the betting markets say:
Market | Chance Clinton wins |
Iowa Election Markets | 69% |
PredictIt | 81% |
Election Betting Odds | 83% |
Paddy Power | 83% |
William Hill | 83% |
Here the range is narrower than what the mathematical models say, but again, Clinton is the strong favorite.
Last polls
To hear SurveyMonkey tell it, Donald Trump’s rust belt strategy is working, since they believe he’s keeping it close in Michigan, Wisconsin, and Pennsylvania and is ahead in Ohio. We’ll soon know if they are right. We don’t believe the Nevada poll as too much of the early voting campaign occurred during the poll and it went strongly for the Democrats.
State | Clinton | Trump | Johnson | Start | End | Pollster |
Alaska | 31% | 47% | 13% | Oct 31 | Nov 06 | SurveyMonkey |
Alabama | 36% | 54% | 6% | Oct 31 | Nov 06 | SurveyMonkey |
Arkansas | 34% | 55% | 6% | Oct 31 | Nov 06 | SurveyMonkey |
California | 56% | 30% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
Colorado | 43% | 39% | 11% | Oct 31 | Nov 06 | SurveyMonkey |
Connecticut | 51% | 37% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
D.C. | 88% | 7% | 2% | Oct 31 | Nov 06 | SurveyMonkey |
Delaware | 49% | 39% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
Florida | 45% | 45% | 4% | Nov 02 | Nov 04 | YouGov |
Florida | 47% | 45% | 5% | Oct 31 | Nov 06 | SurveyMonkey |
Georgia | 45% | 45% | 6% | Oct 31 | Nov 06 | SurveyMonkey |
Hawaii | 52% | 29% | 9% | Oct 31 | Nov 06 | SurveyMonkey |
Iowa | 37% | 47% | 9% | Oct 31 | Nov 06 | SurveyMonkey |
Idaho | 29% | 47% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
Illinois | 52% | 35% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
Indiana | 35% | 52% | 10% | Oct 31 | Nov 06 | SurveyMonkey |
Kansas | 36% | 48% | 10% | Oct 31 | Nov 06 | SurveyMonkey |
Kentucky | 35% | 53% | 6% | Oct 31 | Nov 06 | SurveyMonkey |
Louisiana | 38% | 52% | 4% | Oct 31 | Nov 06 | SurveyMonkey |
Massachusetts | 56% | 29% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
Maryland | 60% | 29% | 6% | Oct 31 | Nov 06 | SurveyMonkey |
Maine | 47% | 39% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
Michigan | 44% | 42% | 8% | Oct 31 | Nov 06 | SurveyMonkey |
Minnesota | 46% | 37% | 10% | Oct 31 | Nov 06 | SurveyMonkey |
Missouri | 40% | 48% | 8% | Oct 31 | Nov 06 | SurveyMonkey |
Mississippi | 41% | 50% | 4% | Oct 31 | Nov 06 | SurveyMonkey |
Montana | 31% | 53% | 10% | Oct 31 | Nov 06 | SurveyMonkey |
North Carolina | 48% | 41% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
North Dakota | 29% | 57% | 10% | Oct 31 | Nov 06 | SurveyMonkey |
Nebraska | 34% | 52% | 8% | Oct 31 | Nov 06 | SurveyMonkey |
New Hampshire | 49% | 38% | 6% | Nov 03 | Nov 06 | U. of New Hampshire |
New Hampshire | 49% | 38% | 8% | Oct 31 | Nov 06 | SurveyMonkey |
New Jersey | 53% | 37% | 4% | Oct 31 | Nov 06 | SurveyMonkey |
New Mexico | 40% | 36% | 16% | Oct 31 | Nov 06 | SurveyMonkey |
Nevada | 44% | 43% | 10% | Oct 31 | Nov 06 | SurveyMonkey |
New York | 51% | 34% | 5% | Nov 03 | Nov 04 | Siena Coll. |
New York | 58% | 31% | 5% | Oct 31 | Nov 06 | SurveyMonkey |
Ohio | 42% | 45% | 8% | Oct 31 | Nov 06 | SurveyMonkey |
Ohio | 45% | 46% | 3% | Nov 02 | Nov 04 | YouGov |
Ohio | 48% | 47% | Oct 27 | Nov 05 | Columbus Dispatch | |
Oklahoma | 32% | 56% | 10% | Oct 31 | Nov 06 | SurveyMonkey |
Oregon | 51% | 35% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
Pennsylvania | 47% | 42% | 6% | Oct 31 | Nov 06 | SurveyMonkey |
Rhode Island | 49% | 36% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
South Carolina | 44% | 46% | 6% | Oct 31 | Nov 06 | SurveyMonkey |
South Dakota | 31% | 53% | 12% | Oct 31 | Nov 06 | SurveyMonkey |
Tennessee | 40% | 49% | 6% | Oct 31 | Nov 06 | SurveyMonkey |
Texas | 42% | 47% | 6% | Oct 31 | Nov 06 | SurveyMonkey |
Utah | 31% | 34% | 6% | Oct 31 | Nov 06 | SurveyMonkey |
Virginia | 49% | 39% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
Vermont | 60% | 27% | 6% | Oct 31 | Nov 06 | SurveyMonkey |
Washington | 51% | 34% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
Wisconsin | 44% | 43% | 7% | Oct 31 | Nov 06 | SurveyMonkey |
West Virginia | 27% | 57% | 8% | Oct 31 | Nov 06 | SurveyMonkey |