means a symmetric distribution where outcomes cluster around an average and taper off equally in both directions, describing everything from heights to test scores.

from formalized by carl friedrich gauss in the early 1800s while studying measurement errors in astronomy, though it traces back to abraham de moivre's 1733 work on probability; the shape earned its nickname purely from looking like a bell.