Causations is not implied by correlation can be referred to as a phrase in statistics and science which highlights that it is not necessarily implied by a correlation among two variables that the other is caused by one. Correlation among variables is calculated by various tests. Few tests move forward and the probability of a causal relationship that is true are calculated. For instance, the convergent cross mapping and casualty test of Granger ("Causation vs Correlation", 2017).