Correlation being mistaken for causation is one of the most popular ways that statistics "lie" to people. Correlation and causation are not the same thing of course, and there are ways to tell the difference. Beyond just using controlled experiments watch this video to learn methodology and rationale behind establishing causation and how you can avoid making mistakes like thinking divorce rates influence margarine consumption.
Check out my original article for more information here:
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