He confronts a basic tool of the measurers-the statistical technique called factor analysis, developed by the influential English psychologist Charles Spearman-and demonstrates persuasively how factor analysis led to the cardinal error in reasoning of confusing correlation with cause, or, to put it another way, of attributing false concreteness to the abstract. It is this sort of performance that makes the book's eventual refutation of Arthur Jensen seem incidental, for it is far more absorbing to have our powers of reason challenged than it is to have our social consciences shaken.
About this quote
- What does it mean?
- Statistical techniques can confuse correlation with cause, attributing false concreteness to abstract concepts; this intellectual challenge is more absorbing than social concerns.
- In plain terms
- Stats can mislead us into thinking abstract ideas are real causes, which is a fascinating logical puzzle.
- What can you take from it?
- Correlation does not imply causation.
Where it applies
Putting it to work
Questions to consider
- How do we trust data?
- Why do abstract concepts seem real?
Another view
Sometimes statistical correlations do reflect real causal mechanisms.
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