why political science dismissed Trump and political theory predicted him

Political scientists and data-crunchers were almost unanimous in their authoritative predictions all summer and fall that Donald Trump was going nowhere. (Daniel Drezner has a nice summary.) Meanwhile, several political theorists and political philosophers were alarmed by Trump from the start (e.g, Jason Stanley, and others whom I follow on social media). It seems they were right, so score a point for political theory. But this case actually reveals interesting strengths and weaknesses of two ways of thinking about politics.

Empirical social science is based on data, which is by definition from the past (although sometimes including the very recent past, like this morning’s polls). To the extent that it is predictive, it derives patterns or trends from what has already happened. That is a very broad definition that can encompass research at any geographical or historical scale. It can describe research that is meant to be descriptive or predictive of the existing regime and power structure or research that looks for openings for radical change. So it’s unfair to stereotype political science. However, there is a dominant style of research on American politics that has the following features:

  • It focuses on the US case, presumably because empirical generalizations are difficult across national lines. Trump strikes me as highly similar to current European right-wing leaders. Mainstream political science could explore this resemblance, but it would be very hard to incorporate data from Europe into a predictive model of US elections.
  • It restricts itself to recent political history, because models of election outcomes that include data from distant times are irrelevant. But, as often acknowledged, a study of presidential elections since 1960 or since 1972 is based on a problematically small number of cases. Just as elections have changed fundamentally at turning points in American history, so they can change again.
  • It discounts the significance of rhetoric and narrative, because empirical studies of the impact of discourse usually find small results. For instance, one can usually predict the results of a presidential election based on economic conditions a few months earlier. Likewise, the presidential bully pulpit is found almost never to affect public opinion. Such research suggests that rhetoric and ideological positioning are unimportant. Yet a broader look at the differences among regimes (and among eras in our own history) make ideas and ideologues look central again.
  • It discounts the impact of Margaret Mead’s “small groups of thoughtful and committed citizens,” because empirical research typically finds larger effects from demographic changes, market conditions, and other impersonal forces. Yet Nate Silver calculates that Trump won just 2.0% of the eligible adult population in Iowa, 9.7% in New Hampshire, 6.5% in South Carolina, and 1.8% in Nevada. That’s why he’s winning the nomination. Silver adds, “A few passionate supporters can go a LONG way.”
  • It takes the basic structure of the regime as a given. We have, for instance, a two-party system with privately funded elections and a certain ideological spectrum. But obviously, the regime could–and probably should–change.

Although you can study the current regime empirically with a critical intent, I think focusing tightly on the way things actually are creates a bias in favor of the status quo. It makes the discipline conservative. Theodore Lowi concludes his great book The End of Liberalism (1969, revised in 1979) by saying:

Realistic political science is a rationalization of the present. The political scientist is not necessarily a defender of the status quo, but the result is too often the same, because those who are trying to describe reality tend to reaffirm it. Focus on the group, for example, is a commitment to one of the more rigidified aspects of the social process. Stress upon the incremental is apologetic as well. The separation of facts from values is apologetic.

There is no denying that modern pluralistic political science brought science to politics. And that is a good thing. But it did not have to come at the cost of making political science an apologetic discipline. But that is exactly what happened. … In embracing facts alone about the process, modern political science embraced the ever-present. In so doing, political science took rigor over relevance.

Now, to be clear, political scientists are not apologists for the 2016 election, which most would depict as a nightmare. But, Lowi would argue, they were apologists for the fundamentally unstable and indefensible system that produced it.

Compared to empirical political scientists, theorists have been more attuned to the possibility of disruptive events, because:

  • They are interested in the regime, not just concrete behavior and events. They recognize contradictions within the regime that may presage radical change.
  • They have other regimes in mind–from ancient Greece to fascist Italy and beyond.
  • They are highly attuned to ideas and ideology, and therefore quick to see that Trump might have an unprecedented popular appeal.
  • They mostly don’t much like the status quo. Instead of being apologists for it, they are quick to expect and even celebrate its demise.

These predilections can mislead, though. It is very important to take into consideration the findings of empirical social science. Otherwise, what you want (or fear) can too strongly color your interpretation of events.

Indeed, I can imagine that the 2016 election will vindicate mainstream models of American politics. It seems highly likely that Hillary Clinton will beat Donald Trump, albeit with limited effects on down-ballot races because the country is so polarized along partisan lines. Clinton holds similar policy views to almost all the Democrats in Congress, so the election may reinforce their central place in US politics. Leftish critiques of the Sanders variety will then struggle for attention and traction. However, once the first Hillary Clinton administration nears its end, Democrats will have held the White House for 12 straight years, and voter fatigue may set in, perhaps compounded by a recession. Republicans will realize they can win with a more mainstream, Romney-type candidate. They will nominate such a person, and the parties will rotate as usual, restoring the system that we know.

That remains a plausible scenario. But so does a political realignment, or a constitutional crisis, or a meltdown. It’s to political theory that you must turn to assess not only the possibility of such events but their desirability.

In his most recent book, Public-Spirited Citizenship: Leadership and Good Government in the United States, Ralph Ketcham tells how leading American political scientists of the early 1900s decried education that took the form of “sermonizing and patriotic expostulation” (p. 105). The only alternative they recognized was a rigorous, detached, disenchanted study of politics as it was. In keeping with that goal, they advocated specialization and expertise. Political science meant training for professors and technocrats in basically the current system. Ketcham argues for a broad liberal education that is “profound,” “integrated,” and “radical.” But positivist social scientists tend to gravitate to education as specialized empirical training for the status quo. If you hope to navigate a time such as ours, you need do data and empirical models. But you also need a bit of profundity and radicalism.

Initial Questions about Online Deliberation

While last semester I looked at gender representation in comic books by analyzing a network of superheroes, this semester I’m taking my research down a different path.

Through my Ph.D. I ultimately hope to develop quantitative methods for describing and measuring the quality of political and civic deliberation.

To that end, this semester, I’ll be looking at data from a popular political blog aimed at providing a space for political conversation. I have scraped this website’s entire corpus of nearly 30,000 posts from 2004 through the present, including posts and comments from 4,435 unique users.

From this, I plan to build a network of interactions – who comments on whose posts? Who recommends whose posts? Are there sub-communities within this larger online community?

Additionally, as I build my skill set in Natural Language Processing, I hope to do some basic text analysis on the content of posts and comments, looking for variation in word choice between communities as well as comparing the content of different types of posts – for example, are there keywords that would predict how many comments a post will get?

No doubt more questions will come up along the way, but as I dive into this data, these are some of the questions I’m thinking about.

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Think Global, Print Local: A New Commons-Based Publishing Model

Some enterprising commoners in Spain and Latinamerica have launched an imaginative crowdfunding campaign to translate and publish my book Think Like a Commoner in Spanish.  What makes this publishing initiative so distinctive is its ambition to build a new transnational publishing network that is commons-oriented in content as well as practice.  They call it “Think Global, Print Local.” 

The plan is to translate my book into Spanish and then use small-scale printing and distribution to publish the book in Spain and throughout Latin America. -- initially Peru, Argentina and Mexico, to be followed later in other locations.  The Spanish edition of my book will be entitled Pensar desde los comunes: una breve introducción.

It is difficult for a project this innovative to obtain financing, so the organizers have launched a crowdfunding campaign this week through the Spain-based Goteo website.  I’m thrilled to have my book be the focus of this pathbreaking translation/publishing experiment.  I'm also excited about having my short introduction to the commons accessible to the Spanish-speaking world! 

The “claymation” video by Espacio Abierto of Peru, explaining the project, is particularly wonderful, especially the animated clay rendition of me!  If you go to the Goteo website for the campaign, you can watch the video, learn more about the project and contribute to it.  It's off to a strong start, but it needs to minimally raise 8.042 euros -- 10,602 euros is optimum.

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Randomly Generated Poetry

I’ve had a great deal of fun today building a random sentence generator which draws on a list of words provided to me. (Possibly, it seems, from the script of Monty Python and the Holy Grail.)

The sentences produced are strangely rhythmic and at times insightful, possessed of a certain unique poetry:

every land drinks this weight.
each quest rides Guinevere.
the sun rides any servant?
any chalice rides no defeater.
a winter carries each fruit.
the swallow is any sovereign.

every swallow covers that quest!
each home covers any defeater!
the land is a king!

this land rides that home?
another master covers any master.

another horse drinks this king!
every horse drinks this castle.

another chalice rides the story.
Dingo drinks another master!
every sovereign is a swallow!
any land carries each pound!
that husk carries the master!

every land has every winter.
no master carries any pound.
this castle rides a castle!
any home has that winter.
Arthur is every defeater.

a land near no land of a corner of each home has the master for another home.

that land has no home.
each sun has Patsy.
the horse drinks each king.
this quest has no defeater.
Patsy has the castle.

a story rides the land.

that weariest story frequently is another hardest corner!

a harder sun is the harder land?

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the youth turnout story so far

From CIRCLE’s release this morning: “An estimated 1.8 million young people participated in Super Tuesday’s primaries and caucuses, almost a million youth in the Democratic contests and around 900,000 in the Republican contests. With a number of strong showings across many states, young people continued this year’s trend of high participation that rivals the numbers from 2008, when youth turnout in some cases tripled that of previous years. Young Republican participation, especially, has increased compared to 2008, sometimes by dramatic amounts. And in both parties young people are still not rallying around the frontrunners.”

CIRCLE also has a nifty new interactive tool that allows you to compare recent presidential campaigns’ youth support. One takeaway for me: Sanders is mobilizing almost as many young voters as Obama did in ’08. (Sanders’ percentage is larger, but the actual number is a bit smaller.) The young Obama voters in ’08 were on a bus that drove all the way to the White House. The Sanders voters will not have such a smooth ride. What difference will that make to their development as citizens and activists?

Moderating Deliberative Forums – An Introduction [NIFI]

This 26-slide powerpoint, Moderating Deliberative Forums – An Introduction, was released from National Issues ForumInstitute (NIFI) in February 2016. The powerpoint explains the basics of deliberation, the roles of a moderator, and other gems of advice for running a National Issues Forums. Below you can a little more from NIFI of what the power point contains and a link to the powerpoint, or find it directly on NIFI’s main site here.

From National Issues Forums Institute (NIFI)

A new informative PowerPoint presentation is available to view or download, and to modify for your own use. The presentation covers a range of topics related to convening and moderating National Issues Forums (NIF), including: What are the main goals of an NIF forum? What kinds of questions do moderators use to encourage deliberation? This PowerPoint presentation introduces the basics and can be adapted by local forum organizers to match their own needs and goals.

Download the powerpoint for free here.

About National Issues Forums Institute (NIFI)
NIF-Logo2014Based in Dayton, Ohio, the National Issues Forums Institute (NIFI), is a nonprofit, nonpartisan organization that serves to promote public deliberation and coordinate the activities of the National Issues Forums network. Its activities include publishing the issue guides and other materials used by local forum groups, encouraging collaboration among forum sponsors, and sharing information about current activities in the network.

Follow on Twitter: @NIForums.

Resource Link: www.nifi.org/en/groups/powerpoint-presentation-moderating-deliberative-forums-introduction

Technology & Democracy Video Project Seeks Submissions

Here’s a fun-but-relevant thing happening out there: the collaborative team at hitRECord is partnering with the ACLU to crowd source a series of short films on the theme of how technology has impacted democracy. They’re asking folks to submit videos of themselves speaking on the subject, and we know many of our NCDD members have great thoughts to share on the topic! Read more about the project below or find hitRECord’s original post along with their introductory video by clicking here.


Are you there, Democracy? It’s me, the Internet.

Today’s technology is changing pretty much every facet of our lives – even things as important as our Democracy. And especially with this being an election year here in the US, I think these changes are really worth having a conversation about, and making art about.

So, I wanna hear what you think. Record yourself (or interview someone else) on camera answering these three questions:

  1. Is today’s technology good or bad for Democracy?
  2. How might the technology of the future be BAD for Democracy?
  3. How might the technology of the future be GOOD for Democracy?

Once we have lots of footage of different people answering these questions, we’ll use that footage to produce a bunch of short films. We could make a stylized documentary, we could dramatize somebody’s personal point of view, we could do animation, a song, who knows.

And now, I’m very pleased to announce that for this project, hitRECord will be partnering with the ACLU. The ACLU is a 100-year-old, non-profit, legal organization who is right at the forefront of figuring out how today’s laws should or shouldn’t adapt to today’s technology.

And, although this project isn’t about the money, as with every hitRECord production, if one of your contributions is used in one of the final short films, you will get paid. I just finished shooting a movie where I play Edward Snowden, which really got me thinking about all of this. And so I’ve decided to donate my acting fee from that movie to facilitate this conversation about technology and democracy. Some of that money will go to this production, and the rest will go to the ACLU.

That’s about it. I really look forward to hearing how you answer the three questions and seeing what kinds of short films we can make out of it.

You can find the original version of this hitRECord post at www.hitrecord.org/projects/2650089.

Natural Language Processing

I’ve been taking a great class this semester in Natural Language Processing – a computer science field which deals, as you may have guessed, with the processing of “natural” language. NLP is the foundation of technologies like spellcheck, automatic translation (a work in progress!), and Siri.

Essentially, you feed a bunch of human-generated text into a computer and it gives you something in response, with the “something” varying greatly based on what you’re trying to do.

A few weeks ago I deleted all the vowels from the Declaration of Independence.

(And then nondeterministically put them back in).

But at more sophisticated levels, you can analyze the sentiment of a text, mimic human dialogue, or generate new text in the style of a given author. Eventually, I hope to use NLP techniques to process transcripts of political and civic dialogue, but for now I’m enjoying learning the basics of the field.

The fundamentals of NLP are fascinating – in our native language, we each easily construct our own sentences and relatively easily interpret the sentiment and meaning of other’s sentences. We’re generally familiar with the basic syntax and parts of speech in our native language, but generally we don’t give these much thought as we communicate with those around us.

And, as spoken languages are living languages, in casual conversation we effortlessly change the rules and adapt to new words and styles.

One might think that teaching a computer all the rules of grammar as well as the flexibly of our unspoken rules would be quite complicated. And that’s true to some extent, but more generally the challenge of computer-interfaced language is just different.

ELIZA, one of the early successful NLP programs, is relatively simple. Programmed to respond to human-typed input as a Rogerian psychotherapist, ELIZA is based off an algorithm of pattern-matching. You say, “I am sad,” and ELIZA responds, “I’m sorry you are sad.”

On the other hand, satire and sarcasm continue to elude NLP programs…such humor is just too subtle to capture in rules, I suppose.

The rules for a given NLP program can become quite elaborate and yet, the underlying theory is relatively simple: you start at the beginning of a sentence, and then explore a set of rules with each rule given with a certain probability. When you reach an end symbol (eg, a period), you are done.

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