A low correlation tells you that the relationship between the two specific variables isn’t meaningful. It doesn’t tell you anything about other variables, maybe

A low correlation tells you that the relationship between the two specific variables isn’t meaningful. It doesn’t tell you anything about other variables, maybe you’re thinking of R^2? Regardless both metrics assume you’re dealing with a linear model which is a big assumption in its own right.