If your data set is biased for the purpose of answering your question, then having more data doesn't make things better. In this case 'big data' just becomes 'big bias'. Go to wikipedia and read on Simpsons Paradox.
In causal modelling thou shallst not control by consequences of the causal treatment (the causal treatment here is being born black). Read your Rubin&Rosenbaum.