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A first, very introductory presentation of fragility as linked to both nonlinearity and dislike of variations. Antifragility is almost the opposite, limited to a specific range of variations.
Explains:
Further discussions will be more technical.
How to look at the risks of Covid vaccines, why they are much lower than you think. We never had a larger monitored sample size in history and it allows events that on average show up later to manifest themselves very early on. Rationale: It takes a long time in a casino for someone to win 8 times in a row. But if 8 billion people played at the same time you would certainly witness a minimum of such events every day.
Quick presentation of drawdowns and the necessity to use logarithms for returns.
Explaining path dependence and maximum drawdown. I made a mistake in terminology. What I called max drawdown is a local or “window drawdown” or “peak to the subsequent valley”. The real max drawdown is the one that goes from the peak to 80.
A maximum entropy alternative to Bayesian methods for the estimation of independent Bernouilli sums.
In every age bracket, the vaccinated live longer than the unvaccinated. However as a group, the unvaccinated appear to have a longer life expectancy. This is because the vaccinated tend to be older (hence more likely to die). I explain Simpson’s Paradox in general.
Note: I used the vaccinated/unvaccinated ratio for 50-60 vs 10-20 of Oct 2021, so don’t bug me if it rose since; no effect on the point so long as there is an inequality.
An antifragility tutorial, with application to supply chains.
HRV appears to be ill-defined in papers and regressions; using logged variables fixes the problem.
Link to paper – fooledbyrandomnessdotcom.wordpress.com/on-heart-rate-variability-mismeasurement/
Nassim tweeted that he added more aphorisms on the 3rd edition of his book, The Bed of Procrustes: Philosophical and Practical Aphorisms.
The Bed of Procrustes: Philosophical and Practical Aphorisms is a philosophy book by Nassim Nicholas Taleb written in the aphoristic style. It was first released on November 30, 2010 by Random House. An updated edition was released on October 26, 2016 that includes fifty percent more material than the 2010 edition.
A simple case study where model error shows the claims in a paper published in a “prestigious” psychology journal to be false. Why worry about low R^2.