Surprising, yet not surprising. As the article mentions: > Both in real life and in our sample, the classification of political orientation is to some extent e

Surprising, yet not surprising. As the article mentions: > Both in real life and in our sample, the classification of political orientation is to some extent enabled by demographic traits clearly displayed on participants’ faces. For example, as evidenced in literature and Table 1, in the U.S., white people, older people, and males are more likely to be conservatives. Most people can predict a person's political orientation of their own country with >50% accuracy as well just by looking at a face. Black or latino? probably liberal. Old white person? probably conservative. If you can see more than just their face it's even easier (wearing religious paraphernalia? LGBT paraphernalia? etc?) What I thought was interesting was: > The algorithm could successfully predict political orientation across countries I was under the impression that "liberal" and "conservative" had different meanings in UK vs. USA so how could it do this?