As for your assertion re: experts in "closed" vs "open" systems, the issue is less one of "open" systems requiring humility, and more that "open" systems are statistically filled with BS artists. Why? Because they don't have the filtering mechanism that gets rid of those people. A fake dentist can't pull the wool over patients' eyes for long, but a macroeconomist can do just that for his entire career.
None of these examples show skin in the game. Executives at Blockbuster were almost all certainly wealthy prior to its demise, and its failure probably didn't affect their future earnings potential/job prospects. Institutional investors (non hedge fund) by definition have no skin in the game. Even by posting disappointing returns, a lot of their compensation is tied to a management fee, with future job prospects being lightly tied to prior returns.
My argument is that all experts should be looked at skeptically. Without the proper incentives/punishments for incorrect predictions, it doesn't matter to said expert whether they are right or wrong. Even with the "closed system" experts, mistakes are made. In the article, the author talks about car engines as a closed system. So why have there been so many car recalls?
Obviously expecting experts to be correct every single time is foolish, but my point is that for the most part, because the disincentive for an incorrect prediction is not proportional to the weight of the prediction, most expert claims should be taken skeptically.
My understanding of the Democrats in the last election is precisely that they were unwilling to have “skin in the game”. It appears that if they had embraced class politics, (the tradition of the American Democratic Party) the election would have been theirs. Because they were unwilling to take that risk, which so many with undeniable “skin in the game” demanded of them, they would have won. Or in other words, they did not have “skin in the game”. Maybe if such a risk were necessary to enter the race, they would have sat it out, in which case we could be quite certain.
No it’s not. It’s precisely the topic of debate. I see where you’re coming from though. Your concern is with the author’s authority over the phrase, whereas mine is with the nature of the critique, namely the carelessness and inaccuracy resulting in it’s practice.
I have never read this book, but it’s synopsis alludes no more than free market theory; numbingly basic material. Does this catch-phrase add anything to the argument? I cannot imagine how it would. This is nuance-free run-of-the-mill narcissist apologism as motivational speak. Don’t be fooled.
I have a feeling you didn't read the article, though, because it goes off on a different tangent. It asks us to differentiate between experts in closed systems, such as engineers, pilots, and surgeons, whose expertise goes largely unchallenged, and experts in open systems, which are far more complex and unpredictable.
The article suggests that anyone who claims to be an expert in an open system, and is self-assured in their expertise, is someone to be skeptical of. Open systems should be approached with humility. It's possible to be less wrong about the behaviors of open systems, but there's no reasonable expectation that you'll ever be right.