Even aggregate statistics can leak information about a single person if an attacker is clever. Differential privacy adds a measured amount of random noise to results so that whether any one individual's data was included makes almost no detectable difference.
The trade is accuracy for protection: more noise means stronger privacy but fuzzier figures. Its strength is a formal guarantee rather than a hopeful promise, letting organisations share useful insights from data while bounding how much any one person is exposed.