When it comes to understanding what makes people tick—and get sick—medical science has long assumed that the bigger the sample of human subjects, the better. New research suggests this big-data approach may be wildly off the mark.
That’s largely because emotions, behavior, and physiology vary markedly from one person to the next and one moment to the next. So averaging out data from a large group of human subjects at a given instant offers only a snapshot, and a fuzzy one at that, researchers say.
Author: Yasmin Anwar-UC Berkeley