Taleb's Sokal Hoax

Taleb's latest book he mentions a little trick he played on academics, basically, he created a bunch of nonsense in abstruse mathematics just to highlight what fools they are. Here's his description of this work in Antifragile:

According to the wonderful principle that one should use people’s stupidity to have fun, I invited my friend Raphael Douady to collaborate in expressing this simple idea using the most opaque mathematical derivations, with incomprehensible theorems that would take half a day (for a professional) to understand ... Remarkably—as has been shown—if you can say something straightforward in a complicated manner with complex theorems, even if there is no large gain in rigor from these complicated equations, people take the idea very seriously. We got nothing but positive reactions, and we were now told that this simple detection heuristic was “intelligent” (by the same people who had found it trivial).

I presume this refers to his SSRN paper, Mathematical Definition, Mapping, and Detection of (Anti)Fragility. It contains a lot of unnecessarily complex notation, technically correct and totally meaningless. He basically defines anti-fragility as the difference between the expected value of a function and a function of an expected value over some arbitrary range of that function, and notes that nonlinear functions are more volatile than linear functions, and you want to be long convex payouts.

Taleb doesn't present any data suggesting it is useful for pricing or managing risk, just mentions some really simple examples (stress tests for where unemployment is 8% and 9% that are typical guesses of macro) that highlight how losses can increase exponentially for different assumptions. For complex systems like large corporations, assessing the effect of macro inputs is a similarly vague exercise if you've ever been witness to them (to get a sense, ask yourself what your net worth would be if GDP fell by 5% or 10%).

He then asserts:

It outperforms all other commonly used measures of risk, such as CVaR, “expected shortfall”, stress-testing, and similar methods have been proven to be completely ineffective... It does not require parameterization beyond varying Δp

So, the 'data' showing his equations are helpful are stress-test thought experiments, but this supposedly dominates this same test as well as everything else. Further, it does require density functions for the inputs, and functional forms, subjective thresholds, which for anything like a corporation is simply not amenable to such precision; for specific assets or portfolios there are more direct tools (eg, in options, kurtosis, twist, rho). Like so many things he says, this is not even wrong.

He tried to intimidate a journalist at FTAlphaville with this, and the journalist basically said 'whatever.' The paper was presumably accepted by Quantitative Finance, a journal where Taleb often publishes and seems highly favorable towards his work. This seems identical to the infamous hoax by Alan Sokal, a physics professor who submitted an intentionally meaningless article  to Social Text, an academic journal of postmodern cultural studies. However, Sokal was mocking the journal and its readers by publishing self-acknowledged gibberish. Taleb's mocking his biggest fans ('stupid', he calls them). I bet the journal editor won't find this very amusing.

By admitting that his models are merely "expressing [a] simple idea using the most opaque mathematical derivations, with incomprehensible theorems that would take half a day (for a professional) to understand", he's admitting his math does not add, it's merely to impress via excessive abstruseness. Surely many academics have created excessively technical articles reluctantly, but this shows real bad faith on his part, because presumably this journal aspires to apply rigor in pursuit of making ideas as clear as possible, not the opposite. I must admit it's kind of funny, but perhaps too mean.