Section 7.16 💡 Reproducibility Tip:
When interpreting correlations, statistical strength alone is not enough—results must also make theoretical and real-world sense.
With the right dataset, it is easy to find strong correlations between variables that have no meaningful connection (for example, volcanic eruptions and how often my grandma goes to the supermarket). While such relationships may be statistically strong, they are not scientifically meaningful.
For correlations to be reproducible, the variables involved should have a plausible relationship grounded in theory, logic, or prior evidence. Always ask whether the correlation makes sense before interpreting or reporting it.
