Most of what arrives daily is variation without information, and the volume of data has grown far faster than the amount of signal in it. Treating noise as signal produces overtrading, spurious patterns and confident nonsense. The remedy is to decide in advance what evidence would actually change the position, then ignore the rest.
How biased samples, chosen averages and cut-off chart axes make numbers mislead.
Recommended by: Bill Gates, Mohnish Pabrai, Morgan Housel and 6 others
Why some forecasts succeed and most fail, from weather to earthquakes and economics.
Recommended by: Bill Gates, Mohnish Pabrai, Sophie Bakalar
The Good Judgment Project; the practices that measurably improve forecasts.
Recommended by: Patrick Collison and 9 others
A 20-year test of 28,000 expert forecasts: foxes with many models beat hedgehogs.
“All pundits and commentators should publish their prediction track records, yet don't. What to pay attention to and what to ignore.” — Marc Andreessen
Source: @pmarca, 'Thread: Books I've recently read and recommend'
Recommended by: Marc Andreessen, Michael Mauboussin and 2 others
The life of Claude Shannon, whose information theory underlies the digital age.
Recommended by: Bryan Johnson, Jim O'Shaughnessy and 1 other
Hans Rosling was a global health professor, not an economist, which gives his data-driven case for human progress particular credibility. He shows, in meticulous detail, that almost every quantitative measure of human welfare has improved dramatically over the past century. He attributes this to global trade and economic development without being a polemicist.
Recommended by: Bill Gates, Alfred Lin, Daniel Petre and 4 others
Kahneman died 27 March 2024; this was his last book.
Paul Grahamrecommends 1 book here