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How Not to Be Wrong
9 recommendations

How Not to Be Wrong

The Power of Mathematical Thinking

by Jordan Ellenberg

Recommended by 6 notable people, including Bill Gates and Keith Rabois

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Recommended by public sources

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Should I read this?

Recommended by 9 sources and appears in Statistics, Books Recommended by Bill Gates, and Most Recommended Books.

The Freakonomics of math?a mathworld superstar unveils the hidden beauty and logic of the world and puts its power in our handsThe math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn?t confined t...

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Why recommended

Recommended by 9 sources and appears in Statistics, Books Recommended by Bill Gates, and Most Recommended Books.

Recommended by notable people

People and public figures who have recommended this book.

Recommendation Signals

Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.

S

Steven Strogatz

Recommended this book

80%
N

Nick Ganju

Recommended this book

80%
D

Daniel Pink

Recommended this book

80%

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Appears In

The Boy, the Mole, the Fox and the Horse
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Soft-spoken, heavily illustrated fable built from short dialogues and watercolor sketches. Each spread pairs a spare line of text with a loose drawing, so the pleasure is visual and aphoristic rather than narrative; readers collect felt-true sentences more than plot. Most useful when you want quick consolations, a prompt for conversation with a child, or a pause during a rough day. Limiting if you want sustained argument, concrete advice, or tightly plotted storytelling: the repetition of gentleness can feel sentimental or thin after a while.

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How recommendation signals are reviewed

Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.

How Not to Be Wrong

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