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Predicting political elections from rapid and unreflective face judgments

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Predicting political elections from rapid and unreflective face judgments
Topic: Politics and Law 10:51 pm EDT, Oct 28, 2007

Those YouTube debates are such a waste of time; just move everything to HotOrNot ...

People asked to rate the competence of an individual based on a quick glance at a photo predicted the outcome of elections more than two-thirds of the time.

Nearly 300 students were asked to look at pairs of photographs for as little as one-tenth of a second and pick the individual they felt was more competent.

The participants were shown photos of leading candidates for governor or senator in other parts of the country, but they were not told they were evaluating candidates. Those who recognized any of the photos were not counted.

When the elections took place two weeks later, the researchers found that the competency snap judgments predicted the winners in 72.4 percent of the senatorial races and 68.6 percent of the gubernatorial races.

That's the AP story.

Here's the abstract of the technical paper:

Here we show that rapid judgments of competence based solely on the facial appearance of candidates predicted the outcomes of gubernatorial elections, the most important elections in the United States next to the presidential elections. In all experiments, participants were presented with the faces of the winner and the runner-up and asked to decide who is more competent. To ensure that competence judgments were based solely on facial appearance and not on prior person knowledge, judgments for races in which the participant recognized any of the faces were excluded from all analyses.

Predictions were as accurate after a 100-ms exposure to the faces of the winner and the runner-up as exposure after 250 ms and unlimited time exposure (Experiment 1).

Asking participants to deliberate and make a good judgment dramatically increased the response times and reduced the predictive accuracy of judgments relative to both judgments made after 250 ms of exposure to the faces and judgments made within a response deadline of 2 s (Experiment 2).

Finally, competence judgments collected before the elections in 2006 predicted 68.6% of the gubernatorial races and 72.4% of the Senate races (Experiment 3).

These effects were independent of the incumbency status of the candidates. The findings suggest that rapid, unreflective judgments of competence from faces can affect voting decisions.

Also online at PNAS (including supporting information).

Predicting political elections from rapid and unreflective face judgments



 
 
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