if i used other slides, i could explain why they're focused on transwomen and on youth. all of those are groups that are not following that trend that the general population of h.i.v.-positive people or people at risk of h.i.v. are following. so that's how we use that data to create equity, we look for data that looks positive, you look to see if it's positive equally across the population. and setting policy. this is out of the office of inclusion and work force development looks at what the racial and ethnic makeup of our work force is and this compares that to the makeup of our san francisco population, which is our client base. so white, asian, african-american, if you go down, you can see the different groups and that's where the wide gaps are. first, more white or caucasian staff than population in the city. so the red bar versus the blue. we have fewer african-american staff than we have people in the city. it's looking at that imbalance and helping to set policy about how we oversee hiring panels, what kind of oversight we do in terms of recruitment, hiring a rec