As society increasingly relies on data to make predictions, some fear that they will be caught on the wrong side of an equation: a healthy individual might be denied medical coverage, a reformed criminal might be denied parole, or a financially-stable consumer might be denied credit. These fears are misguided. While critics are correct that no algorithm will be right 100 percent of the time, what many people do not realize is that we already live in a world of predictions, we are just not always that good at making them. Fortunately, better use of data analytics can help us make fewer errors.
