## [YouTube] Claims that Violence Has Dropped Are Not Statistical

Violence is from Extremistan, hence requires some more sophisticated tools since LLN works slowly. We see how Pinker’s thesis is bogus. We look at ways to integrate the factual unreliability of historical accounts. We look at transformations to analyze violence using Power law tools since the worst case is bounded at the contemporary population level.

Links to Papers with Pasquale Cirillo

On the statistical properties and tail risk of violent conflicts [TECHNICAL, PHYSICA A]

The Decline of Violent Conflicts: What Do the Data Really Say? [NONTECHNICAL, NOBEL FOUNDATION]

## [YouTube] How to Look at the Risks of Covid Vaccines?

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.

## [YouTube] Path dependence in 3 minutes

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.

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.

## [YouTube] Supply Chain: The Convexity in 2 ½ minutes

An antifragility tutorial, with application to supply chains.

## [YouTube] Detecting Quackery in a Psychology Paper

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.

## [YouTube] A Conversation between Nassim Nicholas Taleb and Stephen Wolfram at the Wolfram Summer School 2021

Stephen Wolfram plays the role of Salonnière in this new, ongoing series of intellectual explorations with special guests.

## [YouTube] Explanations for the last video (Difference Between Clinical and Evidence-Based Knowledge)

Explanations for the last video [Difference Between Clinical and Evidence-Based Knowledge]: Why the statistical properties of a group will NOT particularize to any individual member of the group.

## [YouTube] Evidence-Based Science & Mistakes in Particularizing the General (Simplified)

1) The law of large numbers (properties of aggregates) works in one direction. Why you can generalize from particulars, never particularize from generals.

2) The difference between clinical, statistical, and risk management approached. Why they don’t scale.

3) Never compare Mediocristan to Extremistan (Covid to car accidents).