The Hawaii Elections Commission is meeting this week to discuss problems with mail-in ballots in recent elections, and discuss an initiative to move to all by-mail elections in the state (this will require action by the legislature).
It’s hard to get details from this short news story, but one thing seems clear: the state needs to require local officials to notify voters when their ballots are invalidated due to missing or non-matching signatures.
Those provisions are in place in Oregon (Statutory reference 254.431 Special procedure for ballots challenged due to failure to sign return envelope or nonmatching signature; public record limitation), and Washington, and Colorado.
It may not have been endorsed yet as a “best practice” by an appropriate committee of election experts, but a follow up if the signature verification fails certainly is standard practice in the three states that conduct elections fully by mail.
Nate Silver’s posted a quick analysis today that purports to show that “education, not income, predicted who would vote for Trump.” This is a pretty important finding, if true, because it stands in contrast to a lot of post-election analysis that claims that Democratic abandonment of the white working class played a large role in Clinton’s defeat.
It would also be an impressive finding before the major academic surveys, such as the National Election Study and the Cooperative Congressional Election Study are released, since they are the gold standard in terms of helping us understand how individual demographic and attitudes predict vote choice.
Silver takes a smart cut at the income and education relationship by partitioning up counties by their median income and percent college degree, and then comparing the 2016 Clinton vote to the 2012 Obama vote. Here he can show in some of the educated counties, Clinton did remarkably well.
He acknowledges that income and education are highly correlated, however, so he takes a different cut at the data, looking at a set of counties with relatively high educational levels and only moderate income levels.
Silver describes one of these counties, Ingham County, MI, where he grew up, as
…home to Michigan State University and the state capital of Lansing, along with a lot of auto manufacturing jobs (though fewer than there used to be). The university and government jobs attract an educated workforce, but there aren’t a lot of rich people in Ingham County.
Clinton, he notes, did quite well there, even though incomes aren’t that high. In most places that fit this description, according to Silver, Clinton did quite well. This is evidence, he argues, that education, not income, was the driving force in the 2016 election.
Anyone who is familiar with higher education should immediately recognize this list. If you don’t, you will in a moment.
Silver notes that “many of the counties on the list are home to major colleges or universities, although there are some exceptions.” He notes Davidson County, TN and Buncombe County, NC as not “really college towns.”
Not exactly. Below I list the major universities in each of these counties. Silver hit the jackpot with his list: every single one is home to a large university, in most cases, a huge university.
It’s true that college students as a percentage of total residents is pretty small in Davidson, TN and Buncombe, NC, but I’d be pretty skeptical to generalize anything from the homes of country music, bluegrass music–what Silver calls “cultural havens” (Missoula MT and New Hanover NC fit into that category as well).
But the rest? Almost all are college counties. Most are home to huge institutions that are the dominant cultural and economic force in those counties. Of course they have a combination of high education levels and modest income levels. That’s life as a student and employee of a university! It’s no wonder that Clinton did relatively better in those counties.
This list may be indicative of the kind of cultural divide that Silver speculates about at the end of the essay. I’m far less certain that this reveals anything systematic about the relationship of income and education and vote choice more broadly.
I posted on my Reed College introductory politics class “Moodle”. I shared this on Facebook and getting a lot of requests to share more broadly. Any questions about the class readings and other references below, please email firstname.lastname@example.org.
I’ve spent the day trying to absorb and understand the election results, and I thought it might help to provide a list of resources where I am going to try to reason through this. I certainly don’t mind, and I’m sure Chris would not mind, if people want to talk, or rant, or celebrate, or protest.
We are not suggesting that you should be dispassionate or apolitical about the election outcome. I handle unexpected political changes by doing by best to deconstruct it and understand it. That’s my makeup. It need not be yours. Do what you will with below.
1) The 50,000 Foot Look:
I still think the best place to look and reflect is at a site that allows you to drill down to the county level, and compare vote changes from 2012. I prefer the NY Times, but I list a number of other sites below. Click through at these sites to see the various maps.
The best interactive maps in my opinion at the NY Times: http://www.nytimes.com/elections/results/president
Great mix of maps and exit polls at BBC: http://www.bbc.com/news/election-us-2016-37889032
USA Today does a better job displaying change in support http://www.usatoday.com/…/intera…/how-the-election-unfolded/
CNN has a different look and feel, not my choice but has very nice individual state results http://www.cnn.com/election/results
2) This election is a game changer and this election is a realignment
Most of the evidence is that this election reinforced the existing divisions between the two parties. What was surprising to many observers was that more Republicans did not abandon their party standard bearer, given a lack of endorsements and many leaders distancing themselves from Trump. If you are able to ignore that for a moment, Trump’s support coalition looks nearly identical to Romney’s. Clinton underperformed Obama, especially among African Americans and Latinos. That’s the election in a nutshell.
Larry Bartels at the Monkey Cage examines election 2016 https://www.washingtonpost.com/…/2016-was-an-ordinary-elec…/
3) What about race, ethnicity, gender? Didn’t the horrible things Trump said make a difference?
You know from our class that voters decide based on a wide variety of things–partisanship most importantly, then issues (mostly the economy), and then finally candidate characteristics. It has never been the case that candidate characteristics are the most important consideration. And it is often the case that attitudes about particular “single issues” can overwhelm everything else. While the things Trump said may matter a lot to you, you can’t expect that those same things matter to other people, who may believe in very different things and have very different life experiences. We won’t be able to answer this question in detail for a few months, but I suspect we are going to find not that many Trump voters did not completely ignore the things he said, but they heavily discounted them because of other concerns. And for another big chunk, race and ethnicity in particular get bound up with fear and discontent. That, unfortunately, is very common in the human condition.
This graphic from the NY Times summarizes Trump and Clinton support, compared to elections back to 2004, among key demographics. You may want to look at this first before following up on the links below.http://www.nytimes.com/…/…/elections/exit-poll-analysis.html
3a) On Gender: Clinton simply did not benefit much from her gender, at least that’s what the evidence indicates. Gender identity is very different from racial solidarity, so expecting the gender effect in 2016 to function like the race effect in 2012 and 2008 was probably wishful thinking, no matter how much gender identity may matter to you.
Michael Tesler at the Monkey Cage, with extensive citations to past work on the comparative weakness of gender identity.https://www.washingtonpost.com/…/why-the-gender-gap-doomed…/
3b) On Ethnicity (primarily Latinos): Evidence is far more mixed. The finding you are seeing in the press is that Trump received 29% of the Latino vote, which exceeds Romney’s margin by 9%. However, others are disputing this finding, critiquing the way the exit polls are conducted. This one will be debated for a while.
Matt Barreto of UCLA and Latino Decisions (and older brother of a recent Reed alum in political science) runs down why he thinks the exit polls overestimate Trump support among Latinos http://www.latinodecisions.com/…/the-rundown-on-latino-vot…/ (UPDATE: Nice article at the Monkey Cage.)
3c) On African American support: Clinton did not do as well as Obama among African Americans. If the 88% number holds, that’s down 5% from 2012. But what appears to have been more damaging is lower turnout overall, and this really hurt in states like Florida, Michigan, North Carolina, and Pennsylvania.
Politico story on the number of African Americans in Florida who voted early in 2012 and did not in 2016, citing the work of political scientist Daniel Smith of University of Florida. http://www.politico.com/…/clinton-campaign-struggles-in-get…
Analysis of the exit poll data by political scientists Stanley Feldman and Melissa Herrman http://www.cbsnews.com/…/cbs-news-exit-polls-how-donald-tr…/
4) What about the polls and the forecasts? Does this indicate that polling and statistical forecasting is junk?
It may not surprise that my answer is “no.” There was a systematic miss for the polls, and consequently the forecasts, and the misses were all in red states. If the models were junk, they would have missed in the blue states as well. That means there was something going on in the red states that was missed by the political observers and political scientists who obviously need to scrutinize what they are doing. But your own fundamentals based forecasts predicted Clinton’s vote almost precisely, as did at least two of the forecasts in PS. Something is seriously amiss about Trump support, but there’s no evidence (yet) that there is something seriously amiss about the fundamental underpinnings of election science.
Andrew Gelman does a nice job showing the consistent miss in red states http://andrewgelman.com/…/polls-just-fine-blue-states-blew…/
Gelman shows how a comparatively small yet systematic 2% shift in support toward Trump appears to explain virtually all the “misses.”http://andrewgelman.com/…/11/09/explanations-shocking-2-sh…/
See also Nate Silver http://fivethirtyeight.com/…/what-a-difference-2-percentag…/
Silver reminds us (as you read in his book) that there is a tendency among people to refuse to acknowledge the meaning of uncertainty and probability. He’s to blame as much as anyone for producing these seemingly precise forecasts, but he’s not to blame for reporters and citizens not understanding uncertainty.
Election day is all about ballot cast at the polling place, right?
In fact, millions of absentee ballots will be arriving today at county elections offices. These ballots may have been delivered right on time by the postal service, or dropped off at a drop box, or hand carried into the local elections office.
In so called “postmark” states (Alaska, California, Illinois, Maryland, New York, North Dakota, Utah, Washington, and Utah), ballots need only be postmarked by November 8th (oddly enough, November 7th in Utah) and can arrive a few days to two weeks later.
Finally, in a few states, such as Arizona, Montana and California, you can even drop off your absentee ballot at the local polling place. (Editor’s Note: If anyone knows a comprehensive list of these states, I’d appreciate a link.)
These late arriving ballots can easily make the difference in close races.
In Multnomah County, OR, elections director Tim Scott estimates that anywhere from 110,000 to 150,000 ballots will arrive today–that’s more than 20% of the total registered voters in the county, so likely more than 30% of the final tally! Statewide, assuming total turnout of 80%, nearly 500,000 ballots that will be making their way into county offices today.
In Maricopa County, AZ, the second largest election jurisdiction in the country, over 100,000 ballots are typically dropped off on election day, according to Tammy Patrick of the Bipartisan Policy Center who worked in Maricopa for a number of years.
What happens to these absentee ballots? Are they counted immediately or are they counted at the close of polls? What about the absentee ballots that arrived prior to Election Day? I’ve received a flurry of questions about this today.
The quick answer is that in most states, absentee ballots are processed as they arrive. The ballots are scanned but not counted, and tallying doesn’t occur until Election Day (in some states, at the start of the business day, in some states, after the polls close. The “scanning” vs.”tallying” distinction is important–election officials can’t just walk into a room and glance at vote totals–because no totals exist. Totals are only calculated when a particular form or report is created.
This means that in most states, the first results will include absentee ballots that arrived prior to Election Day, but will almost certainly not include ballots that arrived on Election Day.
The late arriving ballots will generally not even begin to be processed until Wednesday. While this may frustrate politicians, their supporters, and Americans who want to see an announcement of the final results, the delay is necessary to assure the security and integrity of our elections system.
First, in many states, absentee ballots cannot be processed before the close of the polls because election officials have to check to make sure that no one has voted twice, once by absentee ballot and a second time at a polling place. This is the kind of security measure that exists in the American election system and is often ignored by those making unsubstantiated charges of “rigging.”
Next, the absentee ballots need to be processed. This involves a multistep
- Signatures need to be verified
- Ballots need to be separated from the outside envelope
- In some states, ballots need to be inspected (and potentially “remade”) so they can be read by the machines.
After all these steps are completed, the ballots can be scanned and the votes counted.
In most states, none of this will happen on election night, when election officials have already worked a very long and arduous day. Election officials need their beauty sleep, just like the rest of us!
And they’ll be working hard to provide full and accurate results for days and weeks after November 8th.
We have nearly final figures on the early voting totals in each state, and the ballot return rates continue to force us to reconsider many of our previous assumptions about who votes early and where early voting is most popular.
Early voting as a percent of the 2012 early vote, as shown in the first map, is blowing old totals out of the water. Charles Stewart has reported on the pace of early voting in North Carolina and Daniel Smith has been doing the same for Florida. Other states with extraordinarily high numbers compared to 2012 include Arizona (106%), Georgia (124%), Maryland (167%), and Nevada (109%). As I noted in an early posting, the Massachusetts and Minnesota numbers are misleading because they have relaxed their early voting laws.
These numbers are more impressive when viewed as a proportion of the total 2012 vote. This indicates higher turnout overall, or an electorate that is switching wholesale to early voting. In either case, it means that in the states that rank high on this list (Arizona, Colorado, Florida, Georgia, Nevada, North Carolina, Oregon, Tennessee, and Washington), it’s not going to be enough any more to have an election day GOTV operation.
Election day is rapidly becoming election week(s) in many parts of the country.
A couple quick posts before I head off to class. Let’s start with the most up to date EV rates compared to 2012 rates. These can be heavily influenced by changes in state laws, as in Massachusetts, so interpret with caution.
(This post co-written by Paul Gronke and Brian Hamel, Department of Political Science, UCLA)
Even the prospects of ghosts, goblins, Russian hackers, and Wikileaked emails don’t seem to be able to stem the tide of early voters in 2016. It’s truly a historically early early vote total nationwide. (Take that sentence, Doug!)
Five days ago, we reported that in a number of key battleground states, close to 50% of all early votes cast in 2012 had already been cast in 2016. With less than a week till Election Day, these numbers continue to climb
The highest rate is in Louisiana, where the total early votes cast this cycle have already exceeded the total cast in 2012 over six more days of balloting. Sec’y Tom Schedler talked about this last week at the Bipartisan Policy Center. This may be a result of good election planning. After all, if the Tigers beat ‘Bama this Saturday, there could be a few folks who won’t wake up until after Election Day! Something unique is happening in the Bayou State.
Florida, Georgia, and Tennessee are also showing very high ballot return numbers, at or exceeding 80% of the 2012 totals.
Overall, twenty-nine states have racked up more than half as many early votes as were cast over the full early voting period. For many states last week, these totals only included no-excuse, vote by mail ballots, but now millions of more voters are heading to early in-person voting locations in most major battleground states.
Out of Politico’s eleven battleground states, in fact, only New Hampshire and Pennsylvania don’t report more than half of the early vote has already been cast (if we use 2012 as a baseline). This is going to create a huge problem for Donald Trump if, as some sources report, his early vote targeting operation lags Hillary Clinton’s.
The numbers look even more forbidding for Trump if you look at the early vote totals as a percentage of the total 2012 vote. These numbers have to be viewed with a bit of caution; state registration totals will have grown and shrunk during this period, and 2012 voter turnout is obviously an imperfect predictor of 2016 total. However, these numbers aren’t going to have moved that much, and more importantly, the relative position of states will have changed even less.
In Florida, nearly a requirement for a Trump victory, early votes exceed 44% of all votes cast in 2012. In Nevada, not a key to a Trump victory, but a state that Harry Reid wants to deliver for Clinton, 45% of the 2012 total has already been cast. In Tennessee, things are looking brighter for Trump–over half of the 2012 totals are in the books, although we have no data on the partisan breakdown of these ballots.
Michael McDonald notes that only in Nevada do the party ballot return totals indicate a clear Democratic advantage, and the election electorate will break for Trump (it has to if more Democratic votes are cast early). Still, this may mean that Clinton can redeploy her targeting resources in Florida and other states in a way that Trump may not be able to.
These stunning figures could be the result of a number of factors, including voters simply responding to the convenience of early voting, the intensity of the campaign, the distinctiveness of the candidates, increased attention from the campaigns and parties on early voting mobilization, or any combination of the three. What is clear, however, is that early voting could be a key indicator of who is winning the horse race.
Data courtesy of Michael McDonald and the United States Election project.
Early ballots are flowing in rapidly to local election officials throughout the country. As of October 26, according to Michael McDonald of the United States Election Project, over 12 million ballots have been processed.
This is a stunning figure, given that we are 13 days away from Election Day and 10 days before a number of key battleground states end early in-person voting. (You can find the whole early voting “schedule” on our Early Voting Calendar)
Even more surprising is how many early votes have already been cast as a percentage of all early votes cast in 2012. To illustrate this, we used McDonald’s data and display early voting rates (darker red indicate a larger percentage of early ballots cast in 2016 as a percentage of all early ballots cast four years ago).
As shown, in a number of states, these figures approach or even exceed 50%. This is particularly true of a number of key battleground states. For example, in Florida, Iowa, and Virginia, 42.5%, 49.9%, and 49.2%, respectively, of 2012 early ballots have already been cast in 2016. We also see one of the largest shares in Arizona (50.7%), a traditionally red state where Clinton and Trump are in a statistical dead heat and where Clinton recently placed a $2 million ad buy .
These figures suggest that early voting is becoming an increasingly important aspect of American elections. Observers have long noted the sheer convenience of early voting, and the trend over just four years suggests that voters are responding to the convenience of these options.
Indeed, these trends are likely to structure campaign strategy over the final few weeks, as campaigns look to early voting returns—and the partisan breakdown of these returns—before deploying their resources. Stay tuned for more data and commentary on early voting in 2016!
This one in Green Bay, WI. At least it doesn’t concern Packers fans!
The local clerk cites “partisan advantage,” among other reasons, why she refused to establish a satellite early voting location at University of Wisconsin, Green Bay. It doesn’t help her out when the person requesting the location is a local Green Bay Democrat.
I’ve written in the past about ongoing conflict over an early voting location in Boone, NC, located at the student center at Appalachian State University, where I taught for two years. The ASU location also leaned heavily Democratic relative to the surrounding county, but in the Boone case, the student center also was the hub of a county-wide bus system, had ample parking, and was within easy walking distance of downtown. The county offices, in contrast, had little parking and were served by fewer bus lines.
The ASU location, in summary, was actually an excellent location!
This is a hard one! Not sure what the right call is on this location. Anyone with more information on the ground?