Unnatural Selection: Choosing Boys Over Girls, and the Consequences of a World Full of Men
Mara Hvistendahl
"Lianyungang, a booming port city, has China's most extreme gender ratio for children under four: 163 boys for every 100 girls. These numbers don't seem terribly grim, but in ten years, the skewed sex ratio will pose a colossal challenge. By the time those children reach adulthood, their generation will have twenty-four million more men than women. The prognosis for China's neighbors is no less bleak: Asia now has 163 million females "missing" from its population. Gender imbalance reaches far beyond Asia, affecting Georgia, Eastern Europe, and cities in the U.S. where there are significant immigrant populations. The world, therefore, is becoming increasingly male, and this mismatch is likely to create profound social upheaval. Historically, eras in which there have been an excess of men have produced periods of violent conflict and instability.
Award History
0 wins · 2 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| Pulitzer Prize in General NonfictionMajor | 2012 | Finalist | Secondary source |
| Los Angeles Times Book Prize for Science and TechnologyMajor | 2011 | Finalist | Secondary source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
None extracted with sufficient confidence.
02 Central places
- Lianyungang82%
Show lower-confidence suggestions
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- Georgia38%
- Eastern Europe36%
03 Suggested argument
A world with increasingly male populations from sex-selective “choosing boys over girls” is likely to produce profound social upheaval, including violent conflict and instability.
Model confidence 74%
04 Reading orientation
35 / 100 academicSerious trade
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 66%.