NPR News
1. After listening to the short audio clip from NPR News (or reading the transcript), watching this week's videos - particularly the one on the danger of mixing up causality and correlation - and completing the readings, discuss why correlation does not equal causation.
2. Describe at least one example (besides those in the readings and videos) of a situation where mixing up these two concepts could negatively impact an individual or group of individuals. Feel free to search the web for other instances where these two concepts were mixed up.
Why Correlation Does Not Equal Causation
- Causation vs. Correlation:
- Third-Variable Problem:A third, unseen variable might be influencing both variables we're observing. For example, a correlation might exist between ice cream sales and shark attacks. However, hot weather likely causes both – people buy more ice cream in hot weather, and sharks are more active in warmer waters.
- Reverse Causation:It's possible that the seemingly causal variable is actually the effect. For instance, a study might find a correlation between low sleep and poor academic performance. But it's also possible that poor academic performance leads to stress and sleep problems.
- Coincidence:Sometimes, two variables appear correlated simply by chance.
- Real-World Example of Mistaken Causation
- Unnecessary restrictions:Banning or heavily censoring video games, potentially limiting creative expression and enjoyment for many players.
- Shifting blame:Distracting from addressing the root causes of violence in society, such as poverty, lack of opportunity, or mental health issues.