The Secret Lives of Numbers: A Global History of Mathematics & Its Unsung Trailblazers
Kate Kitagawa, Timothy Revell
Mathematics shapes almost everything we do. But despite its reputation as the study of fundamental truths, the stories we have been told about it are wrong. In The Secret Lives of Numbers , historian Kate Kitagawa and journalist Timothy Revell introduce readers to the mathematical boundary-smashers who have been erased by history because of their race, gender or nationality. From the brilliant Arabic scholars of the ninth-century House of Wisdom, and the pioneering African American mathematicians of the twentieth century, to the 'lady computers' around the world who revolutionised our knowledge of the night sky, we meet these fascinating trailblazers and see how they contributed to our global knowledge today. Along the way, the mathematics itself is explained extremely clearly, for example, calculus is described using the authors' home baking, as they pose the question: how much cake is in our cake? This revisionist, completely accessible and radically inclusive history of mathematics is as entertaining as it is important.
Award History
0 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| British Academy Book PrizeMajor | 2024 | Shortlist | Official 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
None extracted with sufficient confidence.
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- House of Wisdom40%
03 Suggested argument
The standard histories of mathematics are wrong, because boundary-smashers were erased by history due to race, gender, or nationality.
Model confidence 64%
04 Reading orientation
40 / 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: 70%.