Inferences of competence from faces predict election outcomes.

  title={Inferences of competence from faces predict election outcomes.},
  author={Alexander Todorov and Anesu N. Mandisodza and Amir Goren and Crystal C. Hall},
  volume={308 5728},
We show that inferences of competence based solely on facial appearance predicted the outcomes of U.S. congressional elections better than chance (e.g., 68.8% of the Senate races in 2004) and also were linearly related to the margin of victory. These inferences were specific to competence and occurred within a 1-second exposure to the faces of the candidates. The findings suggest that rapid, unreflective trait inferences can contribute to voting choices, which are widely assumed to be based… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 31 times over the past 90 days. VIEW TWEETS

From This Paper

Figures, tables, and topics from this paper.
20 Citations
4 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 20 extracted citations


Publications referenced by this paper.
Showing 1-4 of 4 references

In this study, 127 participants were asked to make thirteen trait judgments per pair of faces

  • The second wave of data was collected in the beginning of
  • The first judgment was the competence judgment…
  • 2004
Highly Influential
11 Excerpts

Corzine’s campaign was extensively covered in the media. For the Senate elections in 2002, we excluded the race for Massachusetts (John Kerry)

  • NJ Princeton, John
  • For the Senate elections in 2004,
  • 2004

Seventy-four participants were presented with all races for the Senate in 2000 and 2002 and asked to make a single competence judgment for each of the 63 pairs of faces

  • The third wave of data was collected in May
  • The maximum number of recognitions per race was 9…
  • 2004
1 Excerpt

Data simulation of accuracy of prediction of outcomes of the races for the US Senate as a function of sample size for A

  • S Figure
  • Senate races and B)
  • 2000

Similar Papers

Loading similar papers…