Correlation coefficients are widely used in comparative gerontology. However, due to many pitfalls, only a poor knowledge can be gained from these studies in many cases. For instance, a few variables gathered from few species may be used, with no attention to possible confounding variables giving spurious correlations. This article describes some of these problems and proposes to use more thoroughly multivariate analysis in comparative gerontology.