There is evidence that there is a limit to how well it is possible to describe someone.
The Twitter Predictor's accuracy is about 82 percent, according to Dixon. "It actually started off at 89 percent, but some people were claiming the questions were too easy, so in the middle of it we turned up the difficulty of the questions," he said. "We knew that would lower the success rate, but we thought that would make it more impressive." He also said that it's nearly impossible to nudge that accuracy much further than 90 percent in the first place. "People in our studies are actually only consistent with themselves about 90 percent of the time," Dixon explained, citing the accuracy ceiling that the developers trying to win the Netflix Prize competition eventually encountered. "The highest you could possibly give was around 92, because of the same thing. If you ask people to rate movies one day and the next day, they're only consistent around 90 percent of the time."