When graphs and statistics lie
I should be clear, statistics don't lie, people lie. One of the easiest ways to trick your audience is to confuse correlation with causation.
Correlation versus causation
I don't think I would be allowed to publish this book without taking a deeper dive into the differences between correlation and causation. For this example, I will continue to use my data of TV consumption and work performance.
Correlation is a quantitative metric between -1 and 1 that measures how two variables move with each other. If two variables have a correlation close to -1, it means that as one variable increases, the other decreases, and if two variables have a correlation close to +1, it means that those variables move together in the same ...
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