x+y: A Mathematician's Manifesto for Rethinking Gender
Jul 2020 · Profile Books
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About this ebook
From imaginary numbers to the fourth dimension and beyond, mathematics has always been about imagining things that seem impossible at first glance. In x+y, Eugenia Cheng draws on the insights of higher-dimensional mathematics to reveal a transformative new way of talking about the patriarchy, mansplaining and sexism: a way that empowers all of us to make the world a better place.
Using precise mathematical reasoning to uncover everything from the sexist assumptions that make society a harder place for women to live to the limitations of science and statistics in helping us understand the link between gender and society, Cheng's analysis replaces confusion with clarity, brings original thinking to well worn arguments - and provides a radical, illuminating and liberating new way of thinking about the world and women's place in it.
Using precise mathematical reasoning to uncover everything from the sexist assumptions that make society a harder place for women to live to the limitations of science and statistics in helping us understand the link between gender and society, Cheng's analysis replaces confusion with clarity, brings original thinking to well worn arguments - and provides a radical, illuminating and liberating new way of thinking about the world and women's place in it.
Ratings and reviews
3.8
4 reviews
About the author
Eugenia Cheng is Scientist in Residence at the School of the Art Institute of Chicago and Honorary Fellow in pure mathematics at the University of Sheffield. She was educated at the University of Cambridge and did post-doctoral work at the Universities of Cambridge, Chicago and Nice. Since 2007 her YouTube lectures and videos have been viewed over a million times. A concert pianist, she also speaks French and Cantonese, and her mission in life is to rid the world of maths phobia. She is the author of The Art of Logic, How to Bake Pi and Beyond Infinity (all published by Profile Books), the last of which was shortlisted for the 2017 Royal Society Science Book Prize.
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