Correlation vs Causation: Definition, Examples, and why the difference matters

Posted by sravya m on March 7th, 2020

Originally Published at Troop Messenger 

Distinguishing correlation from causation is one of the most frequent mistakes made in reasoning.

These two words appear deceptively similar but identifying the difference between both can either make or break the process of creating a high-value product for your customers.

Let’s dive right in as I review correlation vs causation psychology and describe the main differences between these two common terms.

Correlation vs Causation Definition

What is Correlation?

Correlation is a relationship or connection between two or more objects. This relationship is not caused by chance. This term, used most often in statistics, refers to the degree of connection between any random variables.

If X and Y, two variables, tend to be observed at the same time, there’s a correlation between them. You cannot say X caused Y, you will simply say that when X and Y are observed together.