Under a general condition on continuous probability distributions of some populations, this study establishes that the distributional convergence of sample quantiles implies moment convergence. As an application, we propose a quick and robust consistent estimator for the shape parameter of the Cauchy distribution under large-sample conditions. This estimator achieves over 99% efficiency relative to the maximum likelihood estimator.