Science · Similar reads
Books like How Not to Be Wrong: The Power of Mathematical Thinking
How Not to Be Wrong: The Power of Mathematical Thinking by Jordan Ellenberg is about mathematics, logic, probability. If that's what drew you in, here are 6 books that share its DNA — each summarized on Superbook, and ready to chat with in the app.
- Thinking, Fast and Slow
01
Daniel Kahneman · Psychology
Thinking, Fast and Slow is Daniel Kahneman's account of the two cognitive systems that govern human thought.
Read the summary → - The Signal and the Noise
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Nate Silver · Science
Nate Silver made his reputation predicting baseball statistics and then political elections.
Read the summary → - The Art of Statistics: How to Learn from Data
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The Art of Statistics: How to Learn from Data
David Spiegelhalter · Science
David Spiegelhalter is one of Britain's most prominent statisticians, and this book is his attempt to translate statistical thinking for a general audience without dumbing it down.
Read the summary → - Algorithms to Live By: The Computer Science of Human Decisions
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Algorithms to Live By: The Computer Science of Human Decisions
Brian Christian and Tom Griffiths · Psychology
Brian Christian is a writer and Tom Griffiths is a cognitive scientist, and together they argue that computer science has worked out rigorous solutions to many of the problems humans face every day — when to stop searching for a better option, how to manage your schedule, how to sort your memory — and that these solutions are both interesting and useful.
Read the summary → - Our Mathematical Universe
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Max Tegmark · Science
Our Mathematical Universe is Max Tegmark's argument for what he calls the Mathematical Universe Hypothesis: the bold claim that the universe is not merely described by mathematics but is a mathematical structure.
Read the summary → - A Brief History of Time
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Stephen Hawking · Science
A Brief History of Time is Stephen Hawking's attempt to explain the biggest questions in physics — where the universe came from, how it behaves, and where it might be going — to readers with no scientific training.
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