SuperFreakonomics
By Steven D. Levitt & Stephen J. Dubner
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Editorial review
The sequel that, in some ways, sharpened the original. Levitt and Dubner take the same data-first instinct and apply it to harder, weirder questions — sex work, terrorism, climate engineering — without losing the trademark mix of curiosity and irreverence.
AI-distilled summary
A second collection of provocative, data-driven investigations from an economist–journalist duo, asking what numbers reveal about street prostitution, hospital safety, suicide bombers, altruism, and global cooling — and what we miss when we trust intuition.
Key takeaways
- 1
Incentives are the hidden script behind almost every social puzzle.
- 2
Data does not care about our moral preferences — and that is exactly its value.
- 3
Cheap, unsexy interventions often outperform expensive, elegant ones.
- 4
Most policy debates are arguments about narratives, not numbers.
- 5
The right question, asked of the right dataset, is worth more than a thousand opinions.