What are the problems of induction through complete and incomplete enumeration?

Problems of induction arise when attempting to generalize conclusions based on observed instances. Complete enumeration, while theoretically reliable, is often impractical as it requires exhaustive data from all cases, which is rarely feasible. Incomplete enumeration, on the other hand, can lead to faulty conclusions since it relies on a limited sample that may not accurately represent the entire population, potentially resulting in overgeneralization or bias. Both methods highlight the inherent uncertainties in making inductive inferences.