Sendhil Mullainathan

The problem with data is that it says a lot, but it also says nothing. 'Big data' is terrific, but it's usually thin. To understand why something is happening, we have to engage in both forensics and guess work.

No one would say, 'Hey, I think this medicine works, go ahead and use it.' We have testing, we go to the lab, we try it again, we have refinement. But you know what we do on the last mile? 'Oh, this is a good idea. People will like this. Let's put it out there.'

I went to graduate school with zero expectation. I kind of backed into it. I wanted to go back to school because I felt gaps in my literary background. I studied mostly twentieth-century English literature in college, so I thought, 'Maybe I'll go back for my writing.'