Causality (and the difference to correlation) simply explained
Causality means that there is a clear cause-effect relationship between two variables. Thus, there is causality if action A causes outcome B. A common mistake in the interpretation of statistics is that causality is inferred when a correlation is present. However, a correlation only indicates whether there is a connection.
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