Correlation, a linear measure of association among random quantities, gets a bad rap as it is often mistaken for causation.  In fact correlation is but one of many possible “measures of association”—none of which deign to properly account for cause and effect. 

Presenter Kobi Abayomi of the environmental studies program at Binghamton University will introduce some alternate measures of association, illustrate differences among them, and the talk will talk for a while about the statistician’s role in causation.