Perfect example of correlation is not causation | Dr. Lauren Hughes
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Correlation is not causation. ⚠️ You can use observational data to spot patterns and ask important questions, which is the first step. But you cannot skip the next step. You cannot take two variables that are simply correlated, assume one is causing the other, and then start making medical recommendations or giving health advice based on that. A good example of this is beta-carotene and lung cancer. Early observational studies found that people who ate more beta-carotene had lower rates of lung
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Correlation is not causation. This is one of the most important things to remember whenever getting or interpreting statistics. In fact causation by nature is one of the most difficult phenomena to ever prove scientifically Curiosity Theory Ep 22 - Immune to the Nonsense Dr. Dakotah Tyler Curiosity Theory | Nick the Immunologist
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