HorsesAss.Org

It’s election day! So, first, make sure you vote. You can find a ballot box (before 8pm) here or get your ballot in the U.S. mail and postmarked by midnight. Find out if you can vote here. In King County, accessible voting options (on-line ballot-marking and in-person voting centers) can be found here.

Then, please join us for an election-watching party at the Seattle Chapter of Drinking Liberally. We meet tonight and every Tuesday at the Roanoke Park Place Tavern, 2409 10th Ave E, Seattle. You’ll find us in the small room at the back of the tavern. We usually start at 8:00pm, but some of us will be their early to watch the election coverage.

Can’t make it to Seattle tonight? Check out one of the other 189 chapters of Living Liberally, including nineteen in Washington state, three in Oregon and one in Idaho. Find, or go out and start, a chapter near you.

Senate Democrats*	Senate Republicans
39.2% probability	60.8% probability
Mean of 49 seats	Mean of 51 seats

Saturday’s analysis showed control of the Senate to likely remain in the hands of the Republicans. The Democrats had only a 12.1% probability of taking the Senate. I’ve added about 20 new polls since then. I’ve also shortened the “current poll” window to 10 days (if only to match the Presidential election).

Two days later, after 100,000 simulated elections, Democrats have a Senate majority 12,350 times, there were 26,823 ties), and Republicans control the Senate 60,827 times. In other words, Democrats have a 39.2% probability of controlling the Senate and Republicans have a 60.8% probability of controlling the Senate.

There has been a few interesting changes.

• Florida: Democrat Patrick Murphy is trying to oust Sen. Marco Rubio (R). Rubio has held the lead in recent polls, but his margins have shrunk. Rubio’s chances have shrunk from near certainty to a 96% probability. This is still quite good, of course.
  

• Missouri: Democrat Jason Kander is going after Sen. Roy Blunt’s (R) seat. We lose three old polls and gain two new ones for a total of 6 polls. Two are tied; Blunt leads by small margins in three polls. One poll has Kander up by +0.7%. This has shifted the Democrat’s chances from 6.6% to 42.9%.
  

• Nevada: We have 2 current NV polls in the open seat race between Catherine Cortez Masto (D) and Joe Heck (R). The most recent poll has Cortez Masto up +1%; the other poll has Heck up by +2%. So The Democrat’s chances have risen from 7% to 43%.

  

• New Hampshire: The state is just close, close, close. Of 7 current polls Sen. Kelly Ayotte (R) leads by small margins in four, and Maggie Hassan (D) leads by small margins in three. The analysis suggests Hassan has a 33% chance of taking the seat.

  

• North Carolina: This is another very close state. The four current polls give two to Sen. Richard Burr (R) and one to Deborah Ross (D); the last one is a tie. Consequently, Burr’s chances of keeping his seat has dropped from 85% to 72%.

  

• Wisconsin: This is the only significant gain for Republicans. Democrat Russ Feingold has been leading Sen. Ron Johnson (R) for the great majority of polls. The three “current” polls have Feingold up, but with smaller margins than the past (+1%, +2%, and +3%). Johnson’s chances have increased from 14% last Saturday to 22% now.

  

Here is the distribution of Senate seats from the simulations:^*

This graphs shows the probability of at least each number of seats controlled by the Democrats:^*

• 100000 simulations: Democrats control the Senate 39.2%, Republicans control the Senate 60.8%.
• Average ( SE) seats for Democrats: 49.2 ( 1.1)
• Average (SE) seats for Republicans: 50.8 ( 1.1)
• Median (95% CI) seats for Democrats: 49 (47, 51)
• Median (95% CI) seats for Republicans: 51 (49, 53)

Expected outcomes from the simulations:

• Democratic seats w/no election: 35
• Independent seats w/no election: one
• Republican seats w/no election: 30
• Contested Democratic seats likely to remain Democratic: nine
• Contested Republican seats likely to remain Republican: 21
• Contested Democratic seats likely to switch: one
• Contested Republican seats likely to switch: three

This table shows the number of Senate seats controlled for different criteria for the probability of winning a state:^* Safe>0.9999, Strong>90%, Leans>60%, Weak>50%

Threshold	Safe	+ Strong	+ Leans	+ Weak
Safe Democrat	43
Strong Democrat	4	47
Leans Democrat	1	1	48
Weak Democrat	0	0	0	48
Weak Republican	1	1	1	52
Leans Republican	4	4	51
Strong Republican	5	47
Safe Republican	42

This table summarizes the results by state. Click on the poll number to see the individual polls included for a state.

		#	Sample	%	%	Dem	Rep
State	@	polls	size	Dem	Rep	% wins	% wins
AL		0	0			(0)	(100)
AK		1&	320	23.4	76.6	0.0	100.0
AZ		6	4147	43.6	56.4	0.0	100.0
AR		1&	608	38.2	61.8	0.0	100.0
CA		1	552	63.4	36.6	100.0	0.0
CO		3	1681	54.3	45.7	99.3	0.7
CT		1&	872	61.7	38.3	100.0	0.0
FL		4	2739	47.6	52.4	3.7	96.3
GA		3	2008	44.1	55.9	0.0	100.0
HI		0	0			(100)	(0)
ID		1&	823	29.5	70.5	0.0	100.0
IL		1	450	60.0	40.0	99.9	0.1
IN		2	884	48.3	51.7	23.6	76.4
IA		3	1804	37.1	62.9	0.0	100.0
KS		1	535	36.4	63.6	0.0	100.0
KY		1&	566	41.5	58.5	0.2	99.8
LA		1&	794	34.6	65.4	0.0	100.0
MD		1&	614	66.6	33.4	100.0	0.0
MO		6	4595	49.0	51.0	17.1	82.9
NV		2	1332	49.6	50.4	42.9	57.1
NH		7	4312	49.5	50.5	32.6	67.4
NY		1	567	72.8	27.2	100.0	0.0
NC		4	2777	49.2	50.8	28.2	71.8
ND		0	0			(0)	(100)
OH		3	2342	38.6	61.4	0.0	100.0
OK		0	0			(0)	(100)
OR		1&	558	62.7	37.3	100.0	0.0
PA		8	4945	52.4	47.6	99.3	0.7
SC		1&	941	38.4	61.6	0.0	100.0
SD		1&	534	39.3	60.7	0.1	99.9
UT		2	778	28.7	71.3	0.0	100.0
VT		1&	559	69.1	30.9	100.0	0.0
WA		1	641	56.8	43.2	99.2	0.8
WI		3	2778	51.0	49.0	78.1	21.9

^@ Current party in office
^& An older poll was used (i.e. no recent polls exist).
^*Analysis assume that the two independent candidates will caucus with the Democrats.

Details of the methods are given in the FAQ.

Clinton	Trump
84.5% probability of winning	15.5% probability of winning
Mean of 282 electoral votes	Mean of 256 electoral votes

Yesterday’s analysis showed Sec. Hillary Clinton (D) leading Donald Trump (R) with 290 EVs to 248 EVs. If the election was held yesterday, we would expect Clinton to win with an 86.8% chance.

Since that analysis there have been about 28 new polls release that satisfy my inclusion criteria. I should point out, that the new polls include eight new polls from Remington Research (R) and four from Trafalgar Group (R). If the significance of this escapes you, read Goldy’s post.

One of the things I am going to do in this analysis is do two analyses: one with these two pollsters included, and one that excludes all Remington and Trafalgar polls. Pick the one you wish.

Which one is right? It is hard to say. I hate accusing a pollster of producing bogus polls. I’ve had numerous people complain about including this poll or that poll, and I ignore them. The entire premise of my effort is that by aggregating polls broadly, any “house effects” will cancel. But the oddities of Remington are clear. Trafalgar polls also seem quite dodgy.

Okay…Here we go. Scroll down or click here for the alternative analysis.

Analysis with All Polls

Today, after 100,000 simulated elections, Clinton wins 84,508 times and Trump wins 15,492 times (including the 2,449 ties). Clinton received (on average) 282 (-8) to Trump’s 256 (+8) electoral votes. In an election held now, Clinton would have a 84.5% probability of winning and Trump would have a 15.5% probability of winning. Thus, Clinton slips a bit, but the race isn’t changing much.

The long term trends in this race can be seen from a series of elections simulated every seven days using polls from 07 Nov 2015 to 07 Nov 2016, and including polls from the preceding ten days (FAQ).

An animated sequence of maps and electoral vote distributions can be seen here

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

There’s been a lot of bedwetting in recent days over a flood of new polls that threatened to undermine the foundation of Hillary Clinton’s once formidable electoral college firewall. Key swing states like Florida, Nevada, and North Carolina, which for weeks had shown small but consistent leads for Clinton, suddenly plunged into Trump territory, while once solid leads in New Hampshire, Virginia, and Pennsylvania appeared to melt into the margin of error. As a result, polling aggregation sites from Nate Silver’s widely-followed 538 to Darryl’s less well known but equally pedigreed analyses here on HA showed Trump’s chances of winning surge into the disturbing realm of the remotely possible.

But what if some of the polls that introduced all this late uncertainty weren’t just wrong, they were, well, intentionally wrong?

Ignore for a moment the reasons why, but if your goal was to game the polling aggregation sites you would probably want to wait until the final weeks of the election to release a flood of new polls with absurdly large sample sizes (and absurdly low margins of error) surveying a handful of key swing states while providing little or no prior track record on which to judge your credibility. In other words: Meet the Remington Research poll.

Coming out of virtually nowhere, the Remington Research Group in collaboration with Axiom Strategies suddenly emerged as one of the most prolific pollsters of the fin de cycle électoral, simultaneously surveying eight “battleground” states on October 23, October 30, and again on November 3. This sudden displaying of polling prowess is particularly remarkable given the incredibly large size of its voter sample—and by “incredibly,” I do mean that these numbers are not credible.

For example, Remington’s November 3 poll (surveyed Nov 1-2) includes and analyzes the responses of 19,640 likely voters across eight states, ranging from a robust 1,793-voter sample in Nevada to an inexplicable 3,076-voter sample in Virginia. Compare that to the ten most recent Virginia polls posted to 538:

The second largest sample size of the group is SurveyMonkey’s 2,109, and even that’s an outlier given that it’s an online poll that typically uses larger samples in order to compensate for selection bias and other errors. Remington claims to be conducting its surveys via IVR (interactive voice response) technology—good old fashioned robocalling—a method that normally would suffice with about a 1,000-voter sample in a state the size of Virginia. A similar pattern can be seen in survey after survey, state after state, with Remington standing out by far as the largest sample size in any state (and generally one of the most Trump-leaning).

Darryl continues to include Remington in his analysis because it fits his inclusion criteria, and he correctly does not want to change criteria mid-cycle. But those large sample sizes immediately jumped out at Darryl as odd. As Darryl explains, response rates for IVR are notoriously low—probably around 10 percent. That means Remington would have needed to dial about 200,000 voters over two days to achieve its 19,640-voter sample, and then analyze all these results. That may not be beyond the capabilities of a large, established pollster, but it’s not the sort of operation one builds overnight. Further catching Darryl’s eye is Remington’s unusually low reported margin of error: “+/- 1.77” in that Virginia poll, for example. That’s not only weirdly low, it’s weirdly precise; experienced pollsters don’t tend to present that number out to the second decimal place, says Darryl.

Remember: polling is expensive. A typical 600-800-voter IVR survey might cost a campaign or media outlet about $8,000 or more, and a live interviewer telephone survey would cost several times that. (A high-quality live-interview bilingual internal poll of the sort statewide campaigns use might cost $30,000 or more.) So why would Axiom/Remington put in the extra time and money to survey four times as many voters as the typical public state poll?

One obvious answer would be to game the average margins calculated by all these polling aggregators everyone is obsessing on. I’m way oversimplifying it, but the way these polling aggregators generally work is that they add up all the samples from various polls over a specified period of time, and then do some math to them. They essentially create one giant poll out of many in an effort to smooth out the variation and find (as Silver would say it) “the signal in the noise.” (Darryl could explain it better, but in many more words. If you’re curious, you can read his entire simulation FAQ here.)

And what that means is that Remington’s 3,076-voter survey that had Clinton at just +2 influences the average about 4.7 times more than Roanoke College’s 654-voter sample that had Clinton at a robust +7. (Well, not exactly. But again, ask Darryl.) In fact, under most models, Remington’s extremely low reported margin of error would overweight its impact even more.

Thus, flood the media with some very-large-sample Trump-leaning polls, and the state of the race in some of these battleground states starts to look very different. For example, as of last night, Darryl had Clinton with only a 27.9 percent probability of winning Florida—but remove the Remington polls and Clinton’s probability jumps to 68.2 percent! In other words, a single pollster can flip Florida. Likewise, Clinton’s probability of winning an Electoral College majority would’ve climbed from 80 percent with Remington to 94 percent without. For many nervous poll-watchers, that’s the difference between wet sheets and dry sheets.

But what’s in it for Remington? Well, to know for sure, you’d have to ask the Remington Group. Or maybe their partner, Axiom Strategies.  Or better yet, Ted Cruz’s former presidential campaign chief strategist Jeff Roe, who happens to own both the Remington Group and Axiom Strategies. But I have three theories:

1. Bump up turnout in support of down-ballot Republicans. As the Princeton Election Consortium’s Sam Wang recently explained, “increased confidence is associated with increased turnout.” Sure, Trump may be a lost cause, but as long as Trump supporters don’t know it, down-ballot Republicans won’t suffer quite as much.
2. Undermine public faith in the outcome of this election.  If Hillary Clinton substantially over-performs the polling averages it will look awfully suspicious to voters already primed by Trump’s relentless voter fraud allegations. I mean, Nate Silver has never been wrong before, so why would he miss a few key states this time around? Such suspicions will serve Republicans well as they continue their efforts to delegitimize Clinton through hearings, confirmation battles, and ultimately impeachment.
3. Fuck with Nate Silver. Silver has been the target of a lot of well-deserved criticism this cycle for all the click-baity volatility he built into his new (and opaque) models—but four years ago he was a goddamn hero for the way he championed data-driven journalism over the usual data-free kind. Republicans hate Silver for interfering with their election narrative. So maybe this is just payback?

Whatever the reason, the fact is that these Remington polls just don’t pass the smell test. (Clinton is winning only 65% of African-Americans in Virginia, and only 48% of Hispanics in Nevada? I don’t think so.) And Remington isn’t the only late-comer to flood the swing state polling swamp with suspiciously pro-Trump results. Republican consultancy shop Trafalgar Group (infamous robocaller and former Chris Christie advisor Robert Cahaly) has generated a wave of weirdly-worded surveys that purport to reveal a “shy Trump-voter” demographic that every other pollster has missed! Trafalgar too calculates its margin of error to the second decimal place, a level of precision that feels out-of-place amidst their outlier results. (Trump is up 2 points in Michigan, or something!)

Yeah, sure, all of the aggregators will ultimately call this election correctly, in that Clinton will win by some margin or another. And at this late stage there’s little if any argument over who is leading where. But I’ve no doubt that Republicans are attempting to game the system in a way that makes this whole poll aggregation endeavor far less useful than it was in the past two presidential cycles. So don’t be surprised on Tuesday night if the presidential election turns out to be less competitive than we’ve all been led to believe.

This is the last Open Thread before election day. Please get your ballot postmarked or dropped off by tomorrow. President is important, but so is literally everything else on the ballot. Here once again is how you can find your ballot dropbox location in King County. Get it in by 8:00 there.

I voted straight ticket Dem. I also voted for all the initiatives (as well as ST and the Seattle hotels one). That is surprising to me, as my first instinct on any given ballot measure is to vote no.

Clinton	Trump
86.8% probability of winning	13.2% probability of winning
Mean of 290 electoral votes	Mean of 248 electoral votes

On Friday, my analysis showed Sec. Hillary Clinton leading Donald Trump with a mean of 295 to 243 electoral votes. If the election had been held on Friday, Clinton would have won with a 94.2% probability.

There were only a few new polls released on Saturday. On Sunday a few more were released and I found a few missing from the database. We now have eleven new polls added since the last analysis. Of course, some polls will “age-out” on account of being more than ten days old.

Today, after 100,000 simulated elections, Clinton wins 86,835 times and Trump wins 13,165 times (including the 2,645 ties). Clinton received (on average) 290 (-5) to Trump’s 248 (+5) electoral votes. In an election held now, Clinton would have a 86.8% probability of winning and Trump would have a 13.2% probability of winning.

The biggest changes occur in ten states + Maine’s two Congressional districts. Five of these changes favor Clinton and six favor Trump.

• Florida (+Clinton): No new polls in Florida, but five polls slightly favoring Trump “age out”. This shifts Clinton’s chances from 43% to 53%. Florida is still a toss-up, but now Clinton has a tiny edge.
  
• Georgia (+Clinton): We lost one and gained one poll. The four current polls are slightly better for Clinton. Trump drops from a 96% chance to a 91% chance of taking the state.
  
• Iowa (+Trump): Two new polls, including one Trump+7% poll shifts Trump’s chances from 70% to 89%.
  
• Maine (+Trump): No new polling, but one poll ages out. In the state overall, Clinton drops from 90% to 79% chance of winning the state.
• Maine CD-1 (+Trump): Maine’s CD-1 has changed as well. Clinton drops from 98% to 82% chance.
• Maine CD-2 (+Clinton): The dropped poll favored Trump. Now we have one poll that favors Clinton. Her chances have gone from 44% to 62%, flipping ME-2 from red to blue.
• Nevada (+Trump): We lose a poll and gain a poll since Friday for a total of four current polls. The new poll, from the Trafalgar Group, is a Republican pollser. Remington Research, another Republican pollster, contributes as well. The net result is that Trump has gone from 86% to 96% chances in the state. Yes…I’ve read about the early voting, and even read the piece about how Harry Reid has put Nevada out of reach for Trump. Still, my analyses are driven by polls.
  
• New Hampshire (+Trump): One poll has aged out. It is Clinton+3%, so Trump goes from a 51% chance on Friday to a 58% chance today.
  
• New Mexico (+Clinton): We had a Clinton+3% poll on Friday, and the addition of a second poll, with Clinton at +5%, so Clinton goes from chances of 77% to 86%.
  
• North Carolina (+Trump): Four polls drop out, and three favored Clinton, plus a tie. Here is another case where we have a pair of polls from Remington Research and The Grafalgar Group, both G.O.P. pollsters. The result is Trump moves from a 46% probability to a 91% probability of taking North Carolina.
  
• Ohio (+Clinton): We lose two old polls (a tie and a Trump+4.4% from Trafalgar Group) and gain one new poll (Clinton+1% from a mail-in Columbus Dispatch poll). The result is that Trump’s chances have dropped from 96% to 86%.
  

The long term trends in this race can be seen from a series of elections simulated every seven days using polls from 06 Nov 2015 to 06 Nov 2016, and including polls from the preceding ten days (FAQ).

An animated sequence of maps and electoral vote distributions can be seen here

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

The distribution takes on an interesting bimodal (or even trimodal) form. The major modes at 301 and 272 are caused by the fact that Florida is nearly a toss-up (272 + Florida’s 29 EVs = 301). If tonight was election night, an early call in Florida would tell us whether Clinton walks away with the election or whether it is going to be a long night!

The small variability around the two major modes is largely driven by the fact that New Hampshire is almost a toss-up.

That third mode to the right is largely driven by Ohio, which isn’t quit a toss-up at an 86% chance of going to Trump.

[Read more…]

Exodus 25:15
Don’t ever remove the poles from the rings.

Discuss.

Senate Democrats*	Senate Republicans
12.1% probability	87.9% probability
Mean of 49 seats	Mean of 51 seats

My analysis last Sunday showed control of the Senate to be a toss up at 48% probability for Democrats and 52% for Republicans. The expected outcome was a 49 to 51 split in favor of the Republicans.

Since then, I’ve added something exceeding 50 polls to the mix. As we saw in the Presidential race, the polls since last Sunday have tended to be more favoriable to Republicans.

Today, after 100,000 simulated elections, Democrats have a Senate majority 1,762 times, and I’ll assume they control the Senate with the 10,293 ties. The Republicans control the Senate 87,945 times. This suggests Democrats have a 12.1% probability of controlling the Senate and Republicans have a 87.9% probability of controlling the Senate. So, indeed, the Democrat’s chances have fallen.

The Republican candidate has primarily gained in five states.

In Indiana, Democrat Evan Bayh’s once solid lead has vanished. Last Sunday, he had an 88.5% probability of defeating Todd Young (R). Today he would win with a 24.1% probability. The polling picture pretty much tells the story.

Sen. Roy Blunt (R) has strengthened his lead over Jason Kander (D) in Missouri. Last analysis Blunt was at a 77.8% probability of winning, but five new polls, including two ties and three with Blunt up, puts the probability at 92.8% today. On the other hand, two months ago, there was little evidence that Blunt would lose.

In Nevada, five polls aged out, and these mostly favored Catherine Cortez Mastro (D) over Joe Heck (R). Heck leads in four of the five current polls. Consequently, the Republican has gone from a 54% to a 93% probability of winning today.

The story is somewhat similar in New Hampshire. Four polls aged out, including one that had Maggie Hassan (D) up by +9 over Sen. Kelly Ayotte (R). The new polling has mostly been more favorable to Ayotte. We now have ten current polls, six that favor Ayotte, two that favor Hassan, and two ties. The net result is that Ayotte has gone from a 67% chance to an 86% chance of winning an election today.

In Wisconsin, four polls aged out, including one with Russ Feingold leading Sen. Ron Johnson by +12%. The four current polls have Feingold up by +8%, +5%, +1%, and +2%. As a result, Feingold’s chances have dropped from 99.8% to 85.9%.

Democrats have made a couple of notable gains.

The North Carolina senate race largely favors Sen. Richard Burr (R) over challenger Deborah Ross (D). But the last couple of days have seen one tie and two polls that favor the Democrat. The result is that Burr has fallen from a 90% probability of winning last Sunday to an 86% chance today.

The biggest news for Democrats happens in Pennsylvania, where Sen. Pat Toomey (R) is being challenged by Democrat Katie McGinty. Seven polls aged-out, and these polls were pretty much a toss-up between the two candidates. Eight new polls have been added that largely favor McGinty. With the four carry-over polls, we now have two current polls that favor Toomey, eight that favor McGinty, and two ties. As a result, Pennsylvania has flipped from red to blue. McGinty was at a 45.8% probability of winning last Sunday, and she would win a race today with a 99.7% probability.

Here is the distribution of Senate seats from the simulations:^*

This graphs shows the probability of at least each number of seats controlled by the Democrats:^*

• 100000 simulations: Democrats control the Senate 12.1%, Republicans control the Senate 87.9%.
• Average ( SE) seats for Democrats: 48.5 ( 0.8)
• Average (SE) seats for Republicans: 51.5 ( 0.8)
• Median (95% CI) seats for Democrats: 48 (47, 50)
• Median (95% CI) seats for Republicans: 52 (50, 53)

Expected outcomes from the simulations:

• Democratic seats w/no election: 35
• Independent seats w/no election: one
• Republican seats w/no election: 30
• Contested Democratic seats likely to remain Democratic: nine
• Contested Republican seats likely to remain Republican: 21
• Contested Democratic seats likely to switch: one
• Contested Republican seats likely to switch: three

This table shows the number of Senate seats controlled for different criteria for the probability of winning a state:^* Safe>0.9999, Strong>90%, Leans>60%, Weak>50%

Threshold	Safe	+ Strong	+ Leans	+ Weak
Safe Democrat	45
Strong Democrat	2	47
Leans Democrat	1	1	48
Weak Democrat	0	0	0	48
Weak Republican	0	0	0	52
Leans Republican	3	3	52
Strong Republican	4	49
Safe Republican	45

This table summarizes the results by state. Click on the poll number to see the individual polls included for a state.

		#	Sample	Percent	Percent	Democrat	Republican
State	@	polls	size	Democrat	Republican	% wins	% wins
AL		0	0			(0)	(100)
AK		1&	320	23.4	76.6	0.0	100.0
AZ		6	3957	43.6	56.4	0.0	100.0
AR		2	1006	38.7	61.3	0.0	100.0
CA		3	2372	62.0	38.0	100.0	0.0
CO		3	1681	54.3	45.7	99.2	0.8
CT		1&	872	61.7	38.3	100.0	0.0
FL		13	9570	47.4	52.6	0.0	100.0
GA		6	3788	43.4	56.6	0.0	100.0
HI		0	0			(100)	(0)
ID		1	823	29.5	70.5	0.0	100.0
IL		3	1973	56.8	43.2	100.0	0.0
IN		2	884	48.3	51.7	24.1	75.9
IA		4	2548	38.1	61.9	0.0	100.0
KS		1	535	36.4	63.6	0.0	100.0
KY		2	1323	43.4	56.6	0.1	99.9
LA		1&	794	34.6	65.4	0.0	100.0
MD		1&	614	66.6	33.4	100.0	0.0
MO		7	5594	48.6	51.4	7.2	92.8
NV		5	3356	48.2	51.8	6.6	93.4
NH		10	6238	49.1	50.9	14.4	85.6
NY		1	568	71.0	29.0	100.0	0.0
NC		11	7216	49.1	50.9	15.3	84.7
ND		0	0			(0)	(100)
OH		3	1609	40.9	59.1	0.0	100.0
OK		0	0			(0)	(100)
OR		1&	558	62.7	37.3	100.0	0.0
PA		12	9083	51.9	48.1	99.7	0.3
SC		1&	941	38.4	61.6	0.0	100.0
SD		3	2031	36.7	63.3	0.0	100.0
UT		3	1394	29.5	70.5	0.0	100.0
VT		1	559	69.1	30.9	100.0	0.0
WA		2	1103	59.4	40.6	100.0	0.0
WI		4	2465	51.6	48.4	85.9	14.1

^@ Current party in office
^& An older poll was used (i.e. no recent polls exist).
^*Analysis assume that the two independent candidates will caucus with the Democrats.

Details of the methods are given in the FAQ.

Follow me (@hominidviews) on Twitter for Senate and Presidential polling and analysis updates.

A new SurveyUSA poll today sheds some light on the 2016 Washington gubernatorial election between Gov. Jay Inslee and Bill Bryant. The poll, taken from 31-Oct to 2-Nov surveyed 667 likely voters in Washington state (3.9 MOE). Inslee took 50% and Bryant, 43%.

There were 620 people who went for Inslee or Bryant. If we consider only these 620 people, Inslee receives 53.8% and Bryant 46.2%.

A Monte Carlo analysis employing a million simulated elections finds that Inslee wins 903,218 times and Bryant wins 91,992 times. (Other or Undecided wins 4790 times.)

Inslee wins 90.8% of the simulated elections to Bryant’s 9.2%, suggesting that Inslee has about a 91% chance of winning, based only on the evidence contained in this poll.

Here is the distribution of votes from the simulated elections.

Of course, we have other polls in this election that shed additional light. Here is the polling over the past 8 months in the election suggesting that there has been almost no change in the race over the past eight months.

The relative stasis in the race suggests that we can combine the October Elway poll with the current poll. The Elway poll, taken 20-22 October, surveyed 502 individuals (4.5 MOE) and found Inslee leading 51% to 39%. If we repeat the previous analysis using both polls, Inslee wins 989,592 times and Bryant wins 9,805 times. The evidence from these two polls, suggests that Inslee will win with near certainty (99.0% probability).

The distribution of votes looks like this.

There you have it. If the election was held today, Inslee would beat Bryant. I don’t expect the race to change much between now and Tuesday, but it is wise to keep in mind that anything can happen in politics.

John Oliver: Segregation.

Your mission.

Matthew Filipowicz: How to protest the Bundy way!.

Meet the Alt Right:

• Farron Cousins: White supremacists will win, even if Drumpf loses
• Samantha Bee: Feelin’ alt-right, part 1
• Samantha Bee: Feelin’ alt-right, part 2
• Sam Seder: David Duke tries to explain “Jew-S-A”, melts down.
• Young Turks: Guess who the Newspaper of the KKK endorsed?
• Farron Cousins: White supremacists endorse Drumpf, plan election day disruptions
• David Pakman: White supremacists plotting election day “dhow of force” to scare Black voters away

Al Sharpton interviews Pres. Obama Part I.

Al Sharpton interviews Pres. Obama Part II.

How the Electoral College work?

Holy Shit! You’ve Got To Vote!

Conan: Election battle–Drumpf Tower versus Hillary’s Chappaqua home.

What is the difference between a Ponzi vs. a pyramid scheme.

Mental Floss: 26 scientific studies about animals.

The 2016 Sexual Predator Comedy Tour Staring Donald “Fuckface von Clownstick” Drumpf:

• Mike Daisey: The Drumpf Card
• Olbermann: Is Donald Drumpf a Russian agent?
• Jon: My Twitter wars with Drumpf.
• David Pakman: Christian nutburger claims God will punish America if we don’t elect Donald Drumpf.
• Who is cashing in on Drumpf’s border wall?
• Young Turks: Drump To Investors, “You should’ve known I was a loser.”
• If Barack Obama was Donald Drumpf.
• Sam Seder: Drumpf starts talking to himself during speech…. Voices in his head?
• Daily Show: Envisioning Drumpf’s first term.
• Newzoids: Drumpf on Hillary’s pneumonia
• Kimmel: Drunk Donald Drumpf–Emails (Plus special guest Melania Drumpf)
• Olbermann: Donald Drumpf and his uncanny resemblance to horror
• Samantha Bee: Drumpf’s Rusky friends.
• Behind the scenes at Drumpf headquarters: Meet the speechwriter:

• Stephen: Black supporter mistakenly thrown out of a Drumpf rally
• Behind the scenes at Drumpf headquarters: Twitter troubles.
• Pink Farm: Liar, Liar, Liar.
• Young Turks: Drumpf bullies female reporter during rally.
• Sam Seder: Video surfaces of Drumpf attending WrestleMania with mobster he said he didn’t know
• Maddow: About those Drumpf supporters holding “Blacks for Trump” in Florida
• Olbermann: What is Donald Drumpf’s plan for Drumpf TV?
• David Pakman: Drumpf energy advisor has NO CLUE how electricity works
• Melania is deeply concerned about online bullying?!?
• Could a “silent majority” win this for Drumpf?
• Mark Fiore: Grabbing the White House
• Ivanka, we’re here for you.:

• Stephen: Drumpf wants voters to change their ballots.
• Olbermann: Be angry with Donald Drumpf, but not afraid!

White House: West Wing Week.

Scariest moments of the 2016 election.

Late Show: FBI: Email Reader Unit.

John Batiste teaches you how to vote.

Weed, guns, and minimum wage: What else is the U.S. voting on?.

Farron Cousins: Emails reveal GOP plot to block North Carolina African Americans from voting.

Secret booth.

Tour the International Space Station.

Hillary Makes Herstory:

• Trevor: The FBI (once again) examines Hillary Clinton’s emails
• Seth Meyers: The GOP threatens to paralyze a Hillary Clinton presidency
• Louis C.K. is all in for Hillary
• Sam Seder: Obama calls out FBI Director James Comey for operating on ‘innuendo, incomplete info, leaks’
• Newzoids: Hillary’s country & western album
• I’m with purr
• Trevor: Hillary Clinton lives the Black experience
• Sam Seder: Libertarian VP candidate Bill Weld basically endorses Hillary Clinton.
• Red State Update: Comey vs Clinton over email scandal– Is Hillary done?
• Stephen: Clinton prepares for her victory party
• James Corden: We’re still talking emails?!?
• Newzoids: Hillary Clinton is sick.

Seth Meyers: Polls are tightening….

Sam Seder: Why is the Left fighting a carbon tax in Washington State?.

David Pakman: GOP obstructionists threaten to keep Clinton Supreme Court seat empty.

PsychoSuperMom: Voter fraud is a fraud:

Samantha Bee interviews President Obama.

Young Turks: Chris Christie cronies guilty in Bridgegate scandal

You Make Me Feel.

Kids take time out from trick-or-treating to discuss the election.

Four likely outcome of the election.

Young Turks: How Southern states are rigging the election.

Last week’s Friday Night Multimedia Extravaganza can be found here.

Clinton	Trump
94.2% probability of winning	5.8% probability of winning
Mean of 295 electoral votes	Mean of 243 electoral votes

Yesterday the analysis had Sec. Hillary Clinton leading Donald Trump with, on average, 296 electoral votes to 242. And Clinton’s probablity of winning was 93.9% to Trump’s 6.1% chance.

Today there were 19 new polls released. To me, the one noticable thing about today’s batch is that they weren’t that bad for Clinton and not that bad for Trump. You can see the polls and my comments on my Twitter timeline (@hominidviews).

My impression was verified by today’s analysis. After 100,000 simulated elections, Clinton wins 94,164 times and Trump wins 5,836 times (including the 950 ties). Clinton received (on average) 295 to Trump’s 243 electoral votes. In an election held now, Clinton would have a 94.2% probability of winning and Trump would have a 5.8% probability of winning.

In other words, very little has changed from today’s poll dump. This suggests that Hillary’s slide we’ve seen for the past week has hit bottom. If so, she may even make gains in the final four days, as Obama did in 2012.

The long term trends in this race can be seen from a series of elections simulated every seven days using polls from 04 Nov 2015 to 04 Nov 2016, and including polls from the preceding ten days (FAQ).

An animated sequence of maps and electoral vote distributions can be seen here

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

Even with the election at 0.3% chance for Trump in Darryl’s latest analysis, the momentum is scary. It can be overwhelming, but you are not a passive observer. This democracy is yours. You can, and please do, vote. You can volunteer with your state or local party or with whatever campaign makes you the most excited (they’re probably working together). Seriously, the election is in your hands!

Clinton	Trump
93.9% probability of winning	6.1% probability of winning
Mean of 296 electoral votes	Mean of 242 electoral votes

Yesterday’s analysis showed Donald Trump gaining a little over Sec. Hillary Clinton. She had a 99.7% probability of winning an election, and a mean electoral vote of 315.

Since yesterday’s analysis there have been 22 new polls released. The polls feel like they are a little more favorable to Trump. Indeed, now after 100,000 simulated elections, Clinton wins 93,944 times and Trump wins 6,056 times (including the 1,017 ties). Clinton received (on average) 296 to Trump’s 242 electoral votes. In an election held now, Clinton would have a 93.9% probability of winning and Trump would have a 6.1% probability of winning.

I should point out that there is one big change from yesterday. I am now using a 10-day poll window instead of a 14-day window. Doing this tends to nudge each candidate toward 50% probability of winning because sample sizes drop in each state. Additionally, the polls that are dropped are all pre-Comey polls. Clinton has slipped in the last two weeks, so we would expect a 10 day window to be worse for her than a 14 day window. The opposite happens when she is on an up-swing (see the time trend graph below to see both phenomena).

Something else of interest: four years ago tomorrow (Friday), I did an analysis that had Pres. Barack Obama up on Gov. Mitt Romney, 94.4% to 5.6% with a mean electoral vote total of 302 to 236. Essentially, Clinton is running at about the same strength now as Obama was in 2012. One difference, perhaps, is that Obama was starting to gain at this point, whereas Clinton seems to be losing EVs.

There are a few noteworthy shifts from my previous analysis.

Arizona loses two blue polls and a tie. Now all the current polls have small margins for Trump. His chances have gone up from 77% to 97%.

In Colorado, Trump doesn’t lead in any of the current polls. But the small margins for Clinton means that Trump moves from 5% to 21% chances of taking the state.

Florida switches from blue to red, primarily on account of (1) a bunch of pro-Clinton polls being dropped and (2) the addition of a Trump+4 Remington poll. Almost every Remington state presidentail poll I’ve seen this year looks like it is about 3 points skewed toward the Republican. And the firm is a Republican pollster. Still, it seems to be a real, valid pollster. In any case, we went from Clinton at 68% probability of winning to Trump at 58% in Florida.

Clinton slips a little bit in Maine, but this is entirely due to a smaller sample size from dropping one of three current polls.

The same thing happens in Maine’s 2nd CD, but now we are left with a pro-Trump and a pro-Clinton poll. Trump’s chances have increased from 44% to 57%. Earlier in the election season, Trump had a solid lead in ME-2.

In Nevada, we lost 6 polls, all but one favoring Clinton, and added one new pro-Clinton poll. This gives us four current polls: Clinton+2, Trump+6, Trump+6 and a tie. The Trump+4 poll is from Remington, by the way. This changes Clinton’s chances from 56% yeterday to only 13% today.

Over the last month, New Hampshire has seen a shift from strong Clinton to about even. Right now, Clinton would be expected to win NH with a 61% probability.

We have lots of new North Carolina polling. While most of the current polls favor Clinton, 3 of the 4 most recent ones favor Trump. One of them is, you guessed it, Remington. In any case, Clinton drops from 80% chance to 53% chance. A toss-up if there ever was one.

The long term trends in this race can be seen from a series of elections simulated every seven days using polls from 03-Nov-2015 to 03-Nov-2016, and including polls from the preceding ten days (FAQ).

An animated sequence of maps and electoral vote distributions can be seen here

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

Clinton	Trump
99.7% probability of winning	0.3% probability of winning
Mean of 315 electoral votes	Mean of 223 electoral votes

The previous analysis last Thursday showed Sec. Hillary Clinton winning the election with near certainty with, on average, 333 electoral votes (EVs) to Donald Trump’s 205 EVs.

Since then, there have been 91 new new polls released that satisfy my inclusion criteria. So today, after 100,000 simulated elections, Clinton wins 99,714 times and Trump wins 286 times (including the 9 ties). Clinton received (on average) 315 (-18) to Trump’s 223 (+18) electoral votes.

In an election held now, Clinton would have a 99.7% (-0.3%) probability of winning and Trump would have a 0.3% probability of winning.

There are a few interesting changes since Thursday. Most notably, Alaska is suddently blue! The only current poll has Clinton up by +4%. Previous polls had Trump leading. The trend towards Clinton looks plausible:

New polls have turned Arizona back to red again after being blue for some days. Last Thursday, Clinton would have won AZ with a 75% probability. Today, Trump would win with a 77% probability. The trend toward Trump is convincing:

Florida had been leaning blue last Thursday. A bunch of new polls has painted a redder picture, although Clinton’s chances have only dropped from 84% to 68%. Here is the last week of polling:

In Indiana, a new Trump+11 poll has strengthened Trump’s chances from 89% to 98%.

Last week we had two Iowa polls that, together, favored Trump. Now, the only current poll is a tie between the candidates dropping Trump’s chances from 71% to 50%.

Some new Maine polls have changed little beyond the state’s 2nd congressional district. Trump had a weak lead last week and now Clinton leads in two of the three current polls. Trump had a 58% chance of taking the CD last week; now Clinton has a 57% chance of taking it.

In Minnesota, a new poll gives Clinton a +10 margin, increasing her chances of taking the state to 99%.

In rare gains for Clinton, a new Montana poll only has Trump up by +1% instead of double digits. This lowers Trump’s chances from 100% to 97.7%.

We have three new polls in Nevada, and two of them give Trump a slight lead. The result is that Clinton’s chances have dropped from 83% to 56%. The state is, essentially, tied now.

Since last week, eight new North Carolina polls have come and a few lost out for a total of 14 current polls. What do all they new polls reveal? Clinton still has an 80% chance of taking the state. Here is the last two months of polling:

Ohio has gone more strongly for Trump. Last Thursday, Trump had an 89% chance of taking the state. Today that is 98%.

Oregon went from three current polls to one new one with Clinton at +7%. Because the poll is small there is great uncertainty, and Clinton’s chances have dropped to about 90%.

Pennsylvania has had a big polling rush the last few days. It hasn’t made much difference. Clinton wins every one, even if by small margins.

Last week, Trump was badly slipping in Texas, with +3% and +4% polls. Now, we have two new polls with Trump at +7% and +12%. Consequently Clinton’s chances have dropped in Texas from 14% to 0.1%.

Something similar has happened in Utah—polls tanked for Trump last week. This week they rebound with Trump up last week from 87% to about 100%.

The long term trends in this race can be seen from a series of elections simulated every seven days using polls from 02 Nov 2015 to 02 Nov 2016, and including polls from the preceding 21 days (FAQ).

An animated sequence of maps and electoral vote distributions can be seen here

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

The election is coming to a close, and it’s kind of depressing. So let’s talk about something nicer:

Syphilis is at a 30 year high in King County. But the good news is you can get tested if you’re in one of the high risk groups. And you can get treated.