Probability lets us reason about an uncertain future by weighting each outcome by its likelihood — the expected value. Good decisions under uncertainty (insurance, gambling, investing, screening tests) come from comparing expected values rather than reacting to single outcomes. It is the same distributional thinking that powers statistical inference: individual events are unpredictable, but their aggregate behavior is lawful.