I don't doubt that there are ways of presenting even empirical information that tend to highlight certain things and not others, and therefore they introduce the biases of the people who apply the filter. That's true in so many areas. We have to have debates about what the numbers mean. We can't just take on face value that the numbers mean what the person stating the numbers says they mean; we have to do our work.
It is going to require vigilance on your part to make sure the information you get back, if you instruct a certain department to do a gender budget analysis, in fact reflects the kind of commitment that you have going into it. We're going to need that vigilance forever as we use these tools.