Why does correlation not imply causation?
PICTURE THIS: DOM IS A TREE
Simple meaning
Two series can move together because of a confounder, coincidence, reverse causality, or a shared trend over time.
WHY — Correlation vs Causation instead of guessing?
Why interviewers care about Correlation vs Causation:
on Correlation vs Causation.
the situation, the default choice, and one exception - that reads as experience.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1Two series can move
together because of a confounder, coincidence, reverse causality, or a shared trend over time.
- 2Ice cream sales and
drowning both rise in summer without ice cream causing drowning.
- 3Causal claims need design,
such as randomization, or strong identifying assumptions.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Two series can move together because of a confounder, coincidence, reverse causality, or a shared trend over time. Ice cream sales and drowning both rise in summer without ice cream causing drowning.