The breakdown point is a measure of the robustness of a statistical estimator, indicating the smallest proportion of contamination that can cause the estimator to take arbitrarily large incorrect values. High breakdown points are desirable as they suggest the estimator is less sensitive to outliers and more reliable in the presence of data anomalies.