Dependent events are situations in probability where the outcome of one event affects the outcome of another. For example, if you draw a card from a deck and do not replace it, the probability of drawing a second card changes based on the first card drawn. This means the two events are linked, and the first event influences the second. In contrast to independent events, where the outcome of one does not impact the other, dependent events require careful consideration of how one event alters the probabilities of subsequent events. Understanding this concept is crucial in fields like statistics and game theory.