In their series that could be titled "Academic sexism is a myth", Wendy Williams and Stephen Ceci have a newest installment: on the basis of fictive scenarios, faculty members in STEM disciplines had to make decisions about hiring particular male or female candidates. I'm not going to talk in detail about the methodology – which involved presenting faculty members fictitious scenarios about the on campus interviews of female and male candidates – but about the problem of inductive risk whenever we investigate biases against women and other underrepresented groups, such as African Americans, people with disabilities, etc.
Inductive risk is the chance that one is wrong accepting or rejecting a scientific hypothesis. For instance, a food additive that poses a serious health risk is wrongly concluded to be safe, or conversely, a food additive that has no health risk is wrongly concluded to be carcinogenic. Both false negatives and false positives can potentially pose inductive risks. Heather Douglas has argued that inductive risk is one way to let values play a role in science. Because scientists are in an epistemic position to assess the risks and benefits of their work, they should assess the non-epistemic consequences (in policy, public perception, health hazards etc) of publishing particular research findings. How does this concept apply to the research by Williams and Ceci?
When we investigate sexist biases against women in academia, there are two types of inductive risk: (1) There are no biases against women (indeed women are now being preferred as candidates for some positions in some fields). (2) There are in fact biases against women, but Williams and Ceci failed to detect it.

