Founded Demand Curve, which has helped thousands of companies with growth strategy; earlier VP of marketing at Webflow, wrote TechCrunch's growth marketing column and created the animation engine Velocity.
11 articles · 11 books they recommend · 30 appearances
Rare, unforeseen, high-impact events drive history, explained only after the fact.
Also recommended by: Howard Marks, Marc Andreessen, Nat Eliason and 17 others
Judge decisions by their reasoning, not their outcomes, and think in odds.
Also recommended by: Ev Williams, Ana Fabrega, Jason Fried and 4 others
How shared fictions such as money, nations and gods let humans cooperate at scale.
Also recommended by: Andrew Wilkinson, Bill Gates, Mohnish Pabrai and 37 others
Recurring patterns drawn from world history: biology, morals, religion, economics.
Also recommended by: Andrew Wilkinson, Balaji S. Srinivasan and 11 others
Also recommended by: Ev Williams, Elon Musk
Also recommended by: Drew Houston
Hanson and Simler make the most provocative claim in this list: that self-deception is not a flaw but an adaptive strategy — we hide our real motives from ourselves so we can more convincingly hide them from others. If true, the entire bias-correction project has a ceiling. This book belongs at the end so it reframes everything before it.
Also recommended by: Nat Eliason, Ali Abdaal, Emmett Shear and 2 others
The book that introduced affordances, signifiers, and feedback loops to a generation of designers. Norman's analysis of why doors, phones, and stoves confuse people is the clearest argument that bad design is a systems failure, not user error. Everything else on this list builds on this vocabulary.
Also recommended by: Ran Segall, Andrew Chen, Garry Tan and 8 others
How biased samples, chosen averages and cut-off chart axes make numbers mislead.
Also recommended by: Bill Gates, Mohnish Pabrai, Morgan Housel and 5 others
Three false beliefs taught to young Americans, and how they harm their minds.
Also recommended by: Eric Weinstein, Michael Mauboussin and 1 other
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