True, but to assume that correlations mean nothing is incorrect and in many cases, irresponsible. Correlations indicate the strength of a relationship between two variables. In many cases, experiments that would prove causality are unethical, so we have to use the next highest standard, which is correlation. In any case, where there is a high statistical correlation, it is essential to explore the factors that contribute to it. The findings presented by Sarasi1 should be considered seriously. If this kind of correlation was found in my health care organization (I do statistics), we would be all over it.