The ratings are &quot;like&quot; (positive) and &quot;dislike&quot; (negative). If men have ratings close to uniform distribution (44.81% are &quot;like&quot; ratings, 55.19% are &quot;dislike&quot;), women with only 8.58% &quot;like&quot; ratings are clearly unbalanced, or if you want the women are &quot;very picky&quot;. We call this a strong bias in the ratings of women while for men there is a small(er) bias and this only to point out the difference from the uniform distribution (50%-50%).
We can not tell and we are not the ones to judge if the men are voting randomly or are less picky or if the women are right or more picky, since the attractiveness is subjective and we do not have an ultimate ground truth to compare with. We can not say if the attractiveness should follow a particular distribution, we work empirically. In our study, the ratings of men tend to agree more and correlate more with our visual representation based on the face image (looks). We removed from our data the extreme cases such as users with less than 10 ratings or with too many ratings.