Hey friend 👋
Welcome to Wisdom Letter #167
Today we are talking about the Correlation Causation Fallacy.
This might be the most important tool you need to make sense of all the information thrown at you every minute of every day these days.
Look at this picture, tell me, how heavy are the cats😅
Before we dive deeper, here’s an interesting recommendation for you.
🤩 Find of the week
This week’s find is the “For The Interested” newsletter by Josh Spector.
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Now, onto today’s topic -
🤔 What is it?
The correlation-causation fallacy states that just because two events are correlated does not imply that one causes the other.
Causation may or may not exist.
Their correlation may be explained by a third external factor that caused both of them.
How it works
Our brain is a very high energy-consuming organ. It has evolved to function in ways that can improve its energy efficiency.
Making connections(even if none exist) makes it easy for us to understand and remember a fact.
We humans, find it more difficult to resist connecting two facts when presented together.
This bias served us well when we were in the African savannah.
As homo sapiens, if someone died after eating a berry, it helped to conclude that those berries are dangerous.
It did not matter if that was true. The fear kept us alive.
We didn’t need data and randomized controlled trials to prove that the berries were poisonous.
We trusted correlation.
We evolved to derive causality in correlation.
Why it matters
In the information age, we generate millions of data points every second. Data-backed studies follow us in every walk of life.
Our inability to differentiate correlation and causation can lead us to draw wrong conclusions from these studies.
The scale of if this decision can vary from something personal - eg. which latest fad diet to follow to something global like what leaders we elect to power.
Continue Reading…
For a longer discussion on the correlation-causation fallacy read an older issue of The Wisdom Project -
Read it to find out domains where the fallacy works, where it doesn’t work. More reading, watching and listening recommendations.
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