But to measure cause and effect... you must ensure that a…
“But to measure cause and effect... you must ensure that a simple correlation, however tempting it may be, is not mistaken for a cause. In the 1990s the stork population of Germany increased and the German at-home birth rate rose as well. Shall we credit storks for airlifting the babies?”
About This Quote
This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation.
Correlation does not imply causation; apparent links may be coincidental and misleading.
In simple terms: Correlation isn’t cause.
Key Takeaway
Question assumptions before linking data.
Themes
critical thinking
science
logic
Mood
skeptical
inquisitive
Type
educational
analytical
When to use this quote
- policy analysis
- medical research
- marketing claims
- media reporting
Key Concepts
causation
statistical inference
misinterpretation
Questions to Reflect On
- What evidence would prove a causal link?
- How can we avoid false conclusions from data?
A Different Perspective
Correlation can be spurious, requiring controlled experiments to verify.