So, for example, if you were trying to predict the weather and the way you were doing that is you were taking all sorts of inputs of barometric pressure and wind speed, and you were trying to look at where the systems are a hundred miles away, and said, you were using that type of data to predict what was going to happen in an hour or three hours. Then, in order to do that you have to have good data that says that you agree on what it is that happens. If something as amorphous as the weather … For some people accuracy means, "How many inches of snow do we get?" For other people it means, "Did we get precipitation at all?" Because predicting snow versus rain is really difficult when it's 32 degrees out.