This tutorial presents the intuitions of the randomness of sample correlation (spurious correlation) and the methodologies in derivations. Some later sections are somewhat technical as Nassim rederived an old equation with more precise functions (in order to apply to fat tails) and showed the distribution of the maximum of d variables with n points per variable.
This paves the way to the real scientific work on random matric theory under fat tails and the failure of Marchenko-Pastur.
An interview of Nassim by Bloomberg TV at the SALT Conference. Nassim explains what people aren’t getting about President Trump, then discusses tail hedging and the current risks in the environment.
Nassim discusses “how ‘evidence’ about the risk of terrorism as shown in the NYT and by BS vending journos makes no sense statistically” and “explains the difference between classes using principles of Extreme Value Theory EVT without any math.”
Nassim at the Jaipur Literature Festival, in conversation with Emma Sky, Ha-Joon Chang, Sadaf Saaz and Patrick French.
Nassim recently spoke at the Jaipur Literature Festival.
Nassim gave this lecture on tail risk measurement heuristics at the One Bank Flagship Seminar.