 On the pluralist view, feminist science amounts to “doing science as a feminist”—using science to answer questions generated by feminist interests—. There is no presumption that certain methods, evidence, etc. are uniquely available to serve feminist cognitive interests. Nevertheless, some common threads in doing science as a feminist tend to contingently favor certain types of representation (Longino 1994). Gender bias may reinforce sexism through the perpetuation of categorical, dichotomous thinking which represents masculinity and femininity as “opposites,” femininity as inferiority, and gender nonconformity as deviant. This gives feminists an interest in the value of “ontological heterogeneity”—using categories that permit the observation of within-group variation, and that resist the representation of difference from the group mean as deviance. Gender bias also reinforces sexism through single-factor causal models that attribute intrinsic powers to men by neglecting their wider context. The value of “complexity of relationship” favors the development of causal models that facilitate the representation of features of the social context that support male power. Other feminist cognitive values involve the accessibility of knowledge, that diffuses power in being usable to people in subordinate positions. Such feminist cognitive values do not displace or compete with tending to evidence, because doing science as a feminist, like doing science with any other interest in mind (for example, medical or military interests) involves commitment to the cognitive value of producing empirically adequate theories.