The problem isn't so much what value you put on the groups, as the gap itself.
Think of it more generically:
gap<Race, Salary>
Anytime you'd see a big gap, it would be cause for concern, because we value that similar work should provide similar compensation no matter your race.And if you see that the gap is caused by the distribution of the type of work, for example, raceX is more likely to do work that pays more than raceZ. Well that's also an issue, because we value equal opportunity between races, and the assumption is if opportunity was truly equal, the data should not show a big gap in the choices of work made between races, especially for highly paid professions. At least it shouldn't show that without a clear explanation as to why that might be, which we don't have today.
I understand 100% where you come from with that comment, it can get annoying to feel personally blamed for inequality, where the real blame could be historical, or accidental, but I'd only say to try and be the better man, and get past that, because focusing on the "blame" both as a recipient or activist wanting to lash it out is counterproductive, keep the focus on the issue and discussions of solutions I think is the healthy path forward for everyone.
And you're right, articles like this one could also try harder at that.