we recognize there's new techniques in viz railizing data to use data as the basis of stories instead of, if you will, antedote based journalism where you talk to a source and pattern, recognition stories that we can interview a data base, just our sources lie to us as a journalist, but data can lie as well. we have to keep our suspicions up, but what we can do is crunch off numbers to visualize it, and tell a story, and there's a service provider of the rest of the organization to see if that happens. >> in january and february, there was a flu outbreak, the midwest, the east coast, flu telling us where it was, and apparently, google flu overestimated the flu outbreak. what happened? >> well, first of all, it's a prediction. it's a prediction that tells us that says 15% of the time you're wrong. it's a prediction game, of course, in is is a dynamic world in which you need to rerun your models all the time because if cnn reports on flu trends or reports on the flu season, people might google the flu even though they don't have it. there's a feedback mechanism in place, and, of course,