When two numbers move together, it is tempting to think that one is the cause of the other. However, data can only confirm ...

Causation and correlation may sound alike but are very different. The former means the root of subsequent events, while the latter refers to an actual or apparent relationship between trends in which ...

Is there really a basis for your company's investment decisions?Marketing tools, DX investments, equipment upgrades, AI ...

Most of us have heard the phrase "correlation does not equal causation." But understanding how scientists move beyond identifying correlations to establish causation remains a mystery to many. Finding ...

UNDERSTANDING RESEARCH: What do we actually mean by research and how does it help inform our understanding of things? Today we look at the dangers of making a link between unrelated results. Here's an ...

There’s an old saying that goes, “figures don’t lie, but liars can figure.” But sometimes even the figures can spin a confusing story. That’s why I’ve always appreciated the power of understanding ...

"Correlation does not imply causation" is a basic motto of science. Every scientist knows that observing a correlation between two things doesn't necessarily mean that one of them causes the other.

[This post incorporates parts of posts from posts on my own blog and lecture notes I circulate to my graduate students. I figured it was worth revising and posting here as a) basically none of you are ...

Here for spreading far and wide is a graphical reminder of the important distinction between correlation and causation. Redditor Jasonp55 writes that he was practicing Graph Pad when he produced the ...