Suppose you're working on a dataset with missing values distributed randomly throughout. What issues might you encounter when using pairwise deletion?

When missing values are distributed randomly throughout the dataset, pairwise deletion can lead to inconsistencies in results, inflate correlations, and reduce power. This is because it uses different subsets of data for different analyses, potentially leading to biased results.