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Correlation vs. Causation
A clear explanation of the difference between correlation and causation with memorable examples and common mistakes.
Video Lesson
Ever noticed how ice cream sales spike in the summer, and so do incidents of shark attacks? Does that mean eating ice cream causes shark attacks? Of course not! That's a classic example of confusing correlation with causation. Let's break down what that really means.
Correlation simply means that two things tend to happen together. They move in a similar pattern. Causation, on the other hand, means that one thing directly causes another. Understanding the difference is crucial because acting on a perceived causal relationship when it's just a correlation can lead to some seriously flawed decision-making.
So, how do you tell the difference? First, ask yourself if there's a plausible mechanism. Can you explain how A would actually cause B? Second, consider other potential causes. Is there a third variable at play? In the ice cream and shark attacks example, the real culprit is summer! More people are swimming, and more people are eating ice cream. Summer is the confounding variable.
Here's another example: Imagine a study finds that people who drink red wine regularly tend to have better heart health. Could red wine be a magical elixir? Maybe. But it's also possible that people who drink red wine regularly also tend to have healthier diets, exercise more, and be of a higher socioeconomic status, giving them access to better healthcare. It's not necessarily the red wine itself causing the heart health benefit; it's a combination of factors.
One more: A company notices that employee satisfaction scores are high on days when they serve free pizza. Does free pizza cause employee satisfaction? Perhaps a little! But maybe those are also the days when the company announces good news, or when there's a relaxed, celebratory atmosphere. The pizza might be correlated with good morale, but not the primary driver.
Okay, so what can you do today to put this into practice? Next time you see a headline making a causal claim, like "Eating X Prevents Y", take a moment to pause. Ask yourself: Is this truly causation, or just a correlation? What other factors might be at play? Doing this just once a day will sharpen your critical thinking skills and help you avoid falling for misleading information.
Correlation vs. Causation - Practice Exercise
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