The validity of the independence assumption depends on the context and the nature of the data. It is more likely to be valid in scenarios where the events are spatially or temporally separated. For example, in studies of chronic diseases like diabetes or hypertension, the independence assumption is often reasonable because these conditions develop over long periods and are influenced by a variety of factors.