Nassim Nicholas Taleb Quote
The first heuristic addresses the asymmetry in rewards and punishment, or transfer of fragility between individuals. Ralph Nader has a simple rule: people voting for war need to have at least one descendant (child or grandchild) exposed to combat. For the Romans, engineers needed to spend some time under the bridge they built—something that should be required of financial engineers today. The English went further and had the families of the engineers spend time with them under the bridge after it was built.
Nassim Nicholas Taleb
The first heuristic addresses the asymmetry in rewards and punishment, or transfer of fragility between individuals. Ralph Nader has a simple rule: people voting for war need to have at least one descendant (child or grandchild) exposed to combat. For the Romans, engineers needed to spend some time under the bridge they built—something that should be required of financial engineers today. The English went further and had the families of the engineers spend time with them under the bridge after it was built.
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About Nassim Nicholas Taleb
Taleb is the author of the Incerto, a five-volume work on the nature of uncertainty published between 2001 and 2018 (notably, The Black Swan and Antifragile). He has taught at several universities, serving as a Distinguished Professor of Risk Engineering at the New York University Tandon School of Engineering since September 2008. He has also been a practitioner of mathematical finance and is currently an adviser at Universa Investments. The Sunday Times described his 2007 book The Black Swan as one of the 12 most influential books since World War II.
Taleb criticized risk management methods used by the finance industry and warned about financial crises, subsequently profiting from the Black Monday (1987) and the 2008 financial crisis. He advocates what he calls a "black swan robust" society, meaning a society that can withstand difficult-to-predict events. He proposes what he has termed "antifragility" in systems; that is, an ability to benefit and grow from a certain class of random events, errors, and volatility, as well as "convex tinkering" as a method of scientific discovery, by which he means that decentralized experimentation outperforms directed research.