cSCAN Rounds

A Statistical Model of Facial Attractiveness: Replication and Remix

Said and Todorov (2011 Psychological Science) presented a regression model that defines facial attractiveness as a function of a face's position in a multidimensional face space. Importantly, their model provided considerably more predictive power than the averageness and sexual dimorphism accounts of facial attractiveness that have dominated the literature since the 1990s. Here I will present a replication of Said and Todorov’s findings using a large sample of female faces and solicit ideas for how this project might be extended to provide further insights into how we evaluate the attractiveness of faces.