WorldWide Markets with Simon Brown

#330: Correlation is not causation


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Correlation is not causation

Correlation is when two things are seemingly linked but more important is causation when they really are linked and one leads to another.

As humans we live by the mantra of 'what causes what' and this remains very important to our species, but we get it wrong far to often. Some are simple and correct, increasing earnings from a company will in time result in a higher share price. But in the short term all sorts of issues are driving price that most often have nothing to do with the state of the company underlying that share price. Hence stocks get cheap and expensive creating opportunity for investors.

But we need to be very careful of linking events that while they seem linked are not linked.

A great website Spurious Correlations has many correlations that have no bearing on each other. One example is “people who drowned after falling out of a fishing boat” correlates 95.24% with “marriage rates in Kentucky”. Now nobody really believes that in this example one causes the other.

We're constantly being bombarded with data and trying to figure out what drives that data and what impact it'll have. Part of the problem here is the 24 hour instant news agenda. Markets move and news needs a reason beyond buyers vs. sellers. So we find a reason, one that seems to fit but may very likely not be true.

The point here is two fold;

  • Understand our desire as humans to link one event to another (think of the things we 'see' in the clouds). More often then not the links that we take for granted are weak at best and more likely Spurious.
  • Be very skeptical about supposedly causation. Interrogate the logic and confirm it for yourself, don't just trust what seems right.

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