Showing posts with label Data. Show all posts
Showing posts with label Data. Show all posts

Monday, January 23, 2017

Not Just the Facts

Steven Bannon, Keeping it Fair and Balanced
By Finbarr Curtis

While Steven Bannon has problems with Muslims, he does seem to be cool with worshiping Satan, the Lord of Darkness. In an interview soon after the GOP's electoral triumph, Trump's chief strategist described his political worldview: 
"Darkness is good," says Bannon, who amid the suits surrounding him at Trump Tower, looks like a graduate student in his T-shirt, open button-down and tatty blue blazer — albeit a 62-year-old graduate student. "Dick Cheney. Darth Vader. Satan. That's power. It only helps us when they" — I believe by "they" he means liberals and the media, already promoting calls for his ouster — "get it wrong. When they're blind to who we are and what we're doing."
While Satanists might take offense at their being lumped in with Trump supporters, Bannon's interest in power for its own sake and his willingness to toss aside concerns about good and evil might tell us something about his approach to publishing. His Breitbart.com's penchant for fabricating news stories has made it one of the most visible examples of the internet medium in a era labeled "post-truth." From Bannon's perspective, his site provides a conservative alternative to liberal media. Rather than pretend to be nonpartisan, Bannon accepts that all news is biased and that the difference between his site and mainstream media like The New York Times or The Washington Post is that Breitbart happens to be conservative and the Times and Post happen to be liberal.

When Trump supporters decide that mainstream news organizations are full of liberal lies, they are capable of believing a lot of things. In response, websites like politifact evaluate whether various claims correspond to the real world, an exercise known as "fact checking."

I believe that fact checking is valuable, but I think that fact checkers are doing something different from what they think they are doing. For one thing, there are no bigger fans of facts than Trump supporters. This might sound like an odd claim after Kellyanne Conway's touting of "alternative facts." What I mean by saying that Trump supporters are fact obsessed is that they subscribe to a common sense literalist view of language that presumes that facts are self-evident certainties. One of the biggest contributors to the post-truth dispensation is not a devaluation of facts, but an all-too-fervent faith in facts understood as self-contained, self-evident pieces of information that exist outside of social contexts or human interpretations. This leads to the uncritical consumption of information as well as the refusal to do the work that goes into thinking and the dismissal of the perspectives of people who do such work. When I accept the reality of global warming or evolution, this is not because I am convinced by the facts. Rather, I trust the work that scientists do. I share their conviction that rigorous processes of verification and falsification are useful in evaluating knowledge about the world.

Tuesday, May 26, 2015

Kind of a Big Fake

Some cool looking data from LaCour and Green's study
By Finbarr Curtis 

In a scene from The Legend of Ron Burgundy, the journalist Brian Fantana anoints himself with a special cologne made with "bits of real panther." The cologne's pungent gasoline aroma does not shake Fantana's confidence in its seductive powers.  As he explains, "They've done studies, you know. 60% of the time, it works every time."  Fantana's data make no sense, of course, but this is beside the point.  What matters is that "they" have done "studies."

The seductive magic of studies hit the interwebs this past week when it was revealed that a graduate student named Michael LaCour faked the data in an article entitled "When Contact Changes Minds: An Experiment on Transmission of Support for Gay Equality."  The study showed that canvassers working on behalf of marriage equality could change people's minds after relatively short conversations.  The essay also compared the persuasive power of straight and gay activists, suggesting that contact with gay canvassers produced longer and more sustainable changes in political attitudes.

LaCour co-authored the article with a professor of political science named Donald Green.  While Green helped to write the study, LaCour gathered all of the data and snookered his co-author into thinking it was real.  Green was not the only one fooled.  The findings made their way to Ira Glass's This American Life, which discussed the article in a story entitled "The Incredible Rarity of Changing Your Mind." The study was appealing because it confirmed liberal ideas about the sources of social conflict: that social divisions are caused by personal prejudices that can be dispelled if only people could get to know each other.  In addition, LaCour's data assured us that people are persuadable.  The takeaway from the study is that voters might be a lot nicer and reasonable then we might have thought.

None of this necessarily means that the findings have been proven wrong.  Ironically, activists who worked to pass a recent referendum for marriage equality in Ireland used the LaCour and Green study as a template for their own political strategy.  If LaCour had not been a quantitative social scientist, he could have simply written the study without the data.  If he was delivering a TED talk or writing an op-ed column, he could have said the same thing and possibly received critical acclaim and invitations to lucrative speaking engagements.

But LaCour inhabits an academic universe in which faking data is a cardinal sin.  Some have concluded that the current scandal proves that the system worked and confirms the importance of reliable data gathering.  As David Brookman, one of two UC Berkeley graduate students who discovered to the fake data when they tried to craft a similar study, explains:
The nature of the work that we do as quantitative researchers is that you allow the data to tell you what you think the truth should be. You don’t take your views and then apply those to the data; you let the data inform your views.
Brookman's faith in data is itself an interesting datum.  The LaCour affair seems to show that data themselves aren't what persuade people.  LaCour recognized that he just needed to have some data, that if he could produce sophisticated charts, graphs, and numbers it was unlikely that anyone would check.