# Discover Stats

## Correlation Is Not Causation – Pirates Prove It!

Ever heard the Latin expression Post Hoc, Ergo Propter Hoc, meaning ‘After this, therefore because of this’? It is the basis of the saying ‘Correlation Is Not Causation’, also known in statistics as the Post Hoc Fallacy because it’s a very familiar trap that we all fall into from time to time. This is the idea…

## The One Reason Your Correlation Results Are Probably Wrong

I’m sure you all know how to do a correlation analysis to test if one variable is related to another. You probably even know when to use a Spearman correlation test over a Pearson correlation test. But did you know that the answers from these tests are probably wrong? When you have a pair of variables, finding a statistical…

## 5 Correlation – Causation Traps You’ll Fall For

How many times have you heard that ‘correlation is not causation’? Many times, I’m sure. So you know not to say things like ‘wow, the correlation between A and B has a p-value of 0.000001 so A must be causing B…’. I wish I had a pound for every time a very experienced, intelligent scientist with PhDs…

## Correlation Analysis – 3 Simple Steps to Success

​In this post we’re going to have a look at the basics of statistical relationships – correlation analysis and statistical associations – learn what they are and how you use them (without being burdened by statistical detail – I’ll deal with the details in other posts). I’ll also introduce the basics of how to use association and…

## How to Lie With Stats

PART 1: 2×2 TablesEver been deceived by stats? In this new series ‘How to Lie With Stats (and get away with it)’ we teach you the tools of the trade of the statistical conmen so you’ll be better able to spot when someone is trying to con you. Ready? OK, let’s go… Continue Reading

## Statistics – The Last Dark Art?

In the first post in our ‘Discover Stats’ Blog Series we explain what stats is, what it isn’t and why you should take the time to learn the basics… No, wait, stop running – it’s really not that difficult. Honest! Come back and let me explain… Continue Reading