I've never found a way to articulate it cleanly, but this is a really important point from Taleb's work (and others) that goes underappreciated.

If an environment is becoming more fat tailed, we would actually expect less variance in the short-term.
It's got a Minsky-esque quality to it that more stability can actually suggest greater future instability.
If you remove all the stressors from an environment by delaying risk, you not only make the eventual collapse worse, you make people less prepared for it.

Of course, it's impossible to know this beforehand.

It's entirely possible that less variance in the short term does mean that the system dynamics have changed in some way that make it more stable.

But, still, very interesting and counterintuitive point worth considering.

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More from @TaylorPearsonMe

14 May
Just posted a summary and my notes from John Galls' wonderful book Systemantics, a wonderful (and funny) book on how systems work

Some of my favorite lines....

taylorpearson.me/bookreview/sys…
SYSTEMS IN GENERAL WORK POORLY OR NOT AT ALL More technically stated: COMPLICATED SYSTEMS SELDOM EXCEED FIVE PERCENT EFFICIENCY
SYSTEMS TEND TO MALFUNCTION CONSPICUOUSLY JUST AFTER THEIR GREATEST TRIUMPH

Toynbee explains this effect by pointing out the strong tendency to apply a previously-successful strategy to the new challenge....
Read 28 tweets
26 Apr
The rapid sell-off in Bitcoin last week is a good example of how exogenous market factors can trigger endogenous market structure factors leading to a cascading sell-off.

This phenomenon is an important part of markets and (IMO) underappreciated.
In the case of Bitcoin, Phase 1 of the sell of was that there was a large hashrate drop which triggered a wave of selling.

However, that also forced a lot of overlevered players to cover their levered long positions (or they got liquidated), causing a second leg down.
I think this is important because the common understanding of price movements is that they are reflective of investors saying "I have updated my beliefs about the future value of this asset and am buying/selling based on that."
Read 12 tweets
23 Apr
I’ve been (rental) house hunting for the last couple of months. I don’t really know anything about real estate investing, but I’ve been trying to read up (John T. Reed’s Best Practices for the Intelligent Real Estate Investor is my favorite so far).
It’s been interesting seeing the market and how homes are priced.

Factors which the market seems to price really efficiently include:
-Square footage
-Neighborhood
-Amenities/Finishes
-View
However, there are a lot of factors that (in my experience) have very high quality of life implications and basically don’t seem priced in at all.
Read 19 tweets
22 Apr
One thing I've changed my mind on in the last few years is the risks presented by leverage.

My historical thinking and most people's thinking tends to be too black and white and leads to sub-optimal decisions.
To give an extreme example, what is riskier:

1. having 100% of your (unlevered) portfolio in Tron and XRP

2. Having 1.5x leverage applied to a highly diversified portfolio of stocks, bonds, commodities, and illiquid alternatives
I think basically everyone would agree the first is riskier (don't @ me XRP people).
Read 6 tweets
22 Apr
The way you get rich has changed as technology has evolved.

"In 1960, most of the people who start startups today would have [[gotten a job]]. You could get rich from starting your own company in 1890 and in 2020, but in 1960 it was not really a viable option."
The labor market, like any other market, is dynamic.

Just because something worked for a prior generation, doesn't mean it will work for the next.
If anything, it is less likely.

In financial markets, the best performing strategy over the past 20 years is usually one of the poorest performing strategies over the next 20 because it gets crowded and returns deteriorate.

The same is true of the labor market.
Read 5 tweets
20 Apr
Love this analogy: product management (or just company management) is like running an options book

In both cases, you have to think about your "portfolio" level exposures.
Too many crazy initiatives is like buying a bunch of exotic deep OTM options.

Even if it's positive expectancy long-term but you're likely to bleed to death before you find out.
Too many predictable, boring initiatives is like being a systematic vol seller.

It works well for a long time until disruption theory plays out and you get smoked all of a sudden.

Nokia/Blackberry getting smoked by Apple probably a good example.
Read 4 tweets

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