But before talking math ... Judea Pearl uses a graph theoretic approach to logic that emphasizes using counter-factual understandings to get at the underlying structure of causation.

While reporting on data, the difference between correlation and causation comes up often. It's an important statistical concept to grasp when reading any sort of study. We've found a graph that ...

He created code to spot correlations in public data sets and pump out ugly but hilarious graphs in response. Who knew that the number of people who drowned by falling into a swimming-pool ...

This graph tells a very simple tale ... This chart is one of the best examples I’ve ever seen detailing how correlation and causation can have absolutely nothing to do with each other.

Correlation doesn't imply causation. You've probably heard that before. It's a true statement that's important in statistical analysis—if more tall people own cats, that doesn't mean that cats ...

In reaching that incorrect conclusion, we’ve made the far-too-common mistake of confusing correlation with causation ... Consider the above graph showing two interpretations of global warming ...

Now, two researchers think they might have a solution: when presenting correlational results, simply tilt the graph by 45 degrees (See 'Correlation or causation') . The new graph, called a diamond ...