Monthly Archives: July 2015

Popperian Science, Mimi Sheraton, Academic Freedom, Trump

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https://twitter.com/nntaleb/status/627104147456679936

https://twitter.com/nntaleb/status/627069773059260416

1,000 Foods To Eat Before You Die: A Food Lover’s Life List (Paperback)

https://twitter.com/nntaleb/status/627068479183716352

https://twitter.com/nntaleb/status/626385993562763264

The death of Popperian Science. Culprits: Media and Science Journos. pic.twitter.com/b9G5BZXE02

— NassimNicholasTaleb (@nntaleb) July 31, 2015
Discussing longevity (#lindyeffect) w/@mimisheraton food critic for 65 y. Review of her book. amazon.com/review/R… pic.twitter.com/jdhEnnBnsa

— NassimNicholasTaleb (@nntaleb) July 31, 2015
1,000 Foods To Eat Before You Die: A Food Lover’s Life List (Paperback)

Was asked to define academic freedom: 1) “F*** you money”, 2) have most of your friends outside academia, 3) work in cafés. Allways been so.

— NassimNicholasTaleb (@nntaleb) July 31, 2015
This is the tragedy. That the only non-fake politician is a lunatic. twitter.com/NKondrat…

— NassimNicholasTaleb (@nntaleb) July 29, 2015

Intuition – Marvels and Flaws. Daniel Kahneman, Nassim Taleb, Gillian Tett

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Not sure when this happened though it was published 4/29/15.

https://www.youtube.com/watch?v=D32UaYwqyuE

 

Published on Apr 29, 2015

An excellent talk on intuition, instincts and their consequences in decision making featuring Daniel Kahneman, Nassim Taleb, Gillian Tett.
Dr. Daniel Kahneman
Nobel laureate in Economic Sciences for his pioneering work on decision-making and “Judgment under Uncertainty.” Currently a Senior Scholar and Professor Emeritus at Princeton’s Woodrow Wilson School of Public and International Affairs. His latest book Thinking, Fast and Slow is a New York Times Top 10 for 2011.
Panel Discussion moderated by NYU-Poly Trustee Jeff Lynford and featuring:
Nassim Nicholas Taleb spent 20 years as a derivatives trader starting a full-time career as a scholar focusing on probability, uncertainty and model error. He is currently Distinguished Professor of Risk Engineering at NYU-Poly and the author of The Black Swan (32 languages) and Antifragility (forthcoming, September 2012).
Gillian Tett is a British author and award-winning journalist at the Financial Times, where she is the US managing editor. She is the author of New York Times bestseller “Fool’s Gold: How Unrestrained Greed Corrupted a Dream, Shattered Global Markets, and Unleashed a Catastrophe”, which won Financial Book of the Year at the Spear’s Book Awards, 2009.

The Mathiness of Nassim Nicholas Taleb

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Certainly, mathematics is a powerful tool for gaining insight into the natural world, but Taleb’s “Precautionary Principle” is no Principia Mathematica. It would be overly generous to call it a mathematical argument; “The Precautionary Principle” would be more accurately described as mathiness1. Rather than set out a rigorous argument, it uses things that feel like mathematics – graphs, equations, and technical definitions – to provide a veneer of rigor to an ideological agenda. Critically, it lacks the precision of language and the careful attention to assumptions that lie at the foundation of mathematical reasoning.

Source: The Mathiness of Nassim Nicholas Taleb

https://twitter.com/nntaleb/status/625403098622730240

Hacker News discussion.

Can the GMO shills send us another mathematician to “debunk” PP? The only 2 flaws Merberg found were HIS mistakes. https://dl.dropboxusercontent.com/u/50282823/response.pdf …

Third Wives, Trump, Dark Act, Traders,

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https://twitter.com/nntaleb/status/626094320928493568

https://twitter.com/nntaleb/status/625347825522577410

https://twitter.com/nntaleb/status/625339397442039808

https://twitter.com/nntaleb/status/624983948335161344

https://twitter.com/nntaleb/status/624887531805519872

https://twitter.com/nntaleb/status/624518619188338688

https://twitter.com/nntaleb/status/624296213710512128

https://twitter.com/nntaleb/status/624246308459581441

An excellent estmator of net worth is the difference in age between a man and his third wife.

— NassimNicholasTaleb (@nntaleb) July 28, 2015

Those who didn’t see the possibility of Trump leading with big margin are now predicting that he will go away. 2nd order failure #blackswan

— NassimNicholasTaleb (@nntaleb) July 26, 2015

Advocates of the Dark Act banning GMO labeling are using paternalistic arguments that can be used to prevent release of *any* information.

— NassimNicholasTaleb (@nntaleb) July 26, 2015

Successful traders have their mind on losses; the poor ones focus on profits. (ignore the”contrarian”designation) twitter.com/trengrif…

— NassimNicholasTaleb (@nntaleb) July 25, 2015

Skin in the game forces redistribution as the wealthy will need to remain exposed to downside risk. twitter.com/BrankoMi…

— NassimNicholasTaleb (@nntaleb) July 25, 2015

To repeat, 1) there is NO study of systemic (tail) risks of GMOs, 2) our Prec Princpl is “nonnaive”, pro-risktaking. arxiv.org/abs/1410….

— NassimNicholasTaleb (@nntaleb) July 24, 2015

If you share the Hayekian-Popperian aversion to “largescale utopian social engineering” but accept GMOs and don’t see the contradiction …

— NassimNicholasTaleb (@nntaleb) July 23, 2015

ANTIFRAGILE 2016 – the 3rd International Workshop on Computational Antifragility and Antifragile Engineering

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May 23-26, 2016, Universidad Politécnica de Madrid in Madrid, Spain

The main topics of the workshop include, but are not limited to:

  • Conceptual frameworks for antifragile systems, ambients, and behaviours;
  • Dependability, resilience, and antifragile requirements and open issues;
  • Design principles, models, and techniques for realizing antifragile systems and behaviours;
  • Frameworks and techniques enabling resilient and antifragile applications;
  • Discussion and analysis if antifragile applications;
  • Antifragile human-machine interaction;
  • End-to-end approaches towards antifragile services;
  • Autonomic antifragile behaviours;
  • Middleware architectures and mechanisms for resilience and antifragility;
  • Theoretical foundation of resilient and antifragile behaviours;
  • Formal modeling of resilience and antifragility;
  • Programming language support for resilience and antifragility;
  • Machine learning as a foundation of resilient and antifragile architectures;
  • Antifragility and resiliency against malicious attacks;
  • Antifragility and the Cloud;
  • Service Level Agreements for Antifragility;
  • Verification and validation of resilience and antifragility;
  • Antifragile and resilient services;
  • Safety and security issues with reference to systems able to self-evolve their identity.