I think a lot of journal articles should really be blogs.

Every day, three times per second, we produce the equivalent of the amount of data that the Library of Congress has in it's entire print collection, right? But most of it is like cat videos on YouTube or thirteen-year-olds exchanging text messages about the next 'Twilight' movie.

Voters' memories will fade some.

When human judgment and big data intersect there are some funny things that happen

Data-driven predictions can succeed-and they can fail. It is when we deny our role in the process that the odds of failure rise. Before we demand more of our data, we need to demand more of ourselves.

The thing that people associate with expertise, authoritativeness, kind of with a capital 'A,' don't correlate very well with who's actually good at making predictions.

Race is still the No. 1 determinant in every election.