We found bias in both the associations of gender and race, as first described in <cite>[3]</cite> , while additionally finding that male names have a slightly higher positive association than female names. Biases found in the embedding were also shown to reflect biases in the real world and the media, where we found a correlation between the number of men and women in an occupation and its association with each set of male and female names.