Search This Blog

Sunday, November 25, 2018

The Dunning-Kruger Effect May Help Explain Trump's Support

A new study suggests some people grossly overestimate their political knowledge.

Posted Aug 22, 2018
Original link:  https://www.psychologytoday.com/us/blog/mind-in-the-machine/201808/the-dunning-kruger-effect-may-help-explain-trumps-support

Elvert Barnes Photography/Flickr
Source: Elvert Barnes Photography/Flickr

In the past, some prominent psychologists have explained President Donald Trump’s unwavering support by alluding to a well-established psychological phenomenon known as the “Dunning-Kruger effect.” The effect is a type of cognitive bias, where people with little expertise or ability assume they have superior expertise or ability. This overestimation occurs as a result of the fact that they don’t have enough knowledge to know they don’t have enough knowledge. This simple but loopy concept has been demonstrated dozens of times in well-controlled psychology studies and in a variety of contexts. However, until now, the effect had not been studied in one of the most obvious and important realms—political knowledge.

new study published in the journal Political Psychology, carried out by the political scientist Ian Anson at the University of Maryland Baltimore County, not only found that the Dunning-Kruger effect applies to politics, it also appears to be exacerbated when partisan identities are made more salient. In other words, those who score low on political knowledge tend to overestimate their expertise even more when greater emphasis is placed on political affiliation.

Anson told PsyPost that he became increasingly interested in the effect after other academics were discussing its potential role in the 2016 U.S. presidential election on social media. “I follow a number of political scientists who marveled at the social media pundit class’ seeming display of ‘Dunning-Kruger-ish tendencies’ in their bombastic coverage of the election.” However, speculation by scientists does not always translate into statistically-significant findings, so Anson began thinking of ways to experimentally test what he described as a “very serious accusation.”

In order to have a large representative sample of subjects, Dr. Anson administered online surveys to over 2,600 Americans. The first survey was designed to assess political knowledge, while the second was used to examine how confident they were in their knowledge. Questions quizzed participants on topics like names of cabinet members, the length of term limits for members of Congress, and the names of programs that the U.S. government spends the least on.

As predicted, the results showed that those who scored low on political knowledge were also the ones who overestimated their level of knowledge. But that wasn’t all. When participants were given cues that made them engage in partisan thought, the Dunning-Kruger effect was made even stronger. This occurred with both Republicans and Democrats, but only in those who scored low on political knowledge to begin with.

These findings are fascinating but equally troubling. How do you combat ignorance when the ignorant believe themselves to be knowledgeable? Even worse, how do you fight it when America is becoming increasingly polarized, which certainly increases the salience of partisan identities?

While the results of Anson’s study suggest that being uninformed leads to overconfidence across the political spectrum, studies have shown that Democrats now tend to be generally more educated than Republicans, possibly making the latter more vulnerable to the Dunning-Kruger effect. In fact, a Pew Research Center poll released in March of this year found that 54 percent of college graduates identified as Democrats or leaned Democratic, compared to 39 percent who identified or leaned Republican.

This effect may help explain why certain Trump supporters seem to be so easily tricked into believing proven falsehoods when the President delivers what have become known as “alternative facts,” often using language designed to activate partisan identities. Because they lack knowledge but are confident that they do not, they may be less likely than others to actually fact-check the claims that the President makes.

This speculation is supported by evidence from empirical studies. In 2016, an experiment found that 45 percent of Republicans believed that the Affordable Care Act included “death panels,” and a 2015 study similarly found that 54 percent of Republican primary voters believed then-president Barack Obama to be a Muslim.

The Dunning-Kruger effect is particularly worrisome when considering issues that pose existential threats, like global warming. A 2017 study conducted at the University of New Hampshire, for instance, found that only 25 percent of self-described Trump supporters believed that human activities contribute to climate change—though 97 percent of scientists who study climate change agree that they do.

This quirky cognitive bias could potentially be making it easier for Donald Trump to say unchallenged falsehoods to his more uneducated followers. In some cases, not only are these individuals uninformed, they are unlikely to ever try to become more informed on their own. In their minds, they have nothing new to learn.

While such a thought is disturbing, we should not lose all hope in trying to reach the victims of the Dunning-Kruger effect. At least one study found that incompetent students increased their ability to accurately estimate their class rank after being tutored in the skills they lacked. With the right education methods and a willingness to learn, the uninformed on both sides of the political aisle can gain a meta-awareness that can help them perceive themselves more objectively.

Unfortunately, Anson’s study shows that getting through to these people becomes more and more difficult as the nation becomes more divided. And with Trump’s fiery rhetoric and fear-mongering, that divide appears to always be growing wider.

Education reform

From Wikipedia, the free encyclopedia https://en.wikipedia.org/wiki/Education_reform ...