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Can you rotate your position?

By rotation, I mean taking all the sides. Whenever there are people of differing positions on an emerging topic — it could be Uber, it could be eSports, it could be 5G, self-driving vehicles, you name it. If I find that I cannot argue from any particular viewpoint, I will book a couple of days to spend time with that community on ethnographic — just hanging out until I rotate my worldview and until I can argue from their viewpoint. That’s called taking all the sides.

Audrey Tang, Conversations with Tyler.

Just one part of of a wide and deep conversation. Tang is one of the few guests who ‘match’ Tyler Cowen on his podcast format.

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Large N Small p

Is it more likely for an infected football player to transmit a disease to their teammates or their competition? Adi Wyner:

"I would expect intrateam transmission by far. Not only huddle time, but the time on the bench, in the locker room, and while they travel. It’s a small chance of any given pairing but it’s lots of pairs. Anytime you multiply a large number by small odds you get a large number."

That’s via Wharton Moneyball and demonstrates the large N, small p principle. It’s the idea behind TikTok too. Ben Thompson said:

"What’s interesting thinking about Quibi and TikTok is that Quibi was such an arrogant idea, that professionally produced content is always going to be better. Are we sure about that? The vast majority of TikTok is garbage and that’s always the case with user generated content. But as it turns out, .1% of a massive, massive amount of content is super compelling. You find that one-percent not by being a picker, you find it by sourcing it."

Large N, small p is why something is always happening.

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What is cheating in chess is winning in life.

Roland Walker (BBC) talking with David Edmonds. The context is how Chess.com monitors cheating.

“We can’t overstress this enough, humans and computers play utterly differently. Humans play by planning and recognizing patterns. Computers play in unusual ways, it forgets everything that it knew in between every move. A computer doesn’t really have a plan.
“An engine will take back a previous move if it realizes that in the context of the following moves it wasn’t good. A human has a kind of sticky feeling about their plan.”

Chess engines make people better at chess and good players use them to practice, if not to play. It’s the Cowen idea of meta-rationality (more here). The idea of using the right resources.

Computers are good because they compute without bias (kinda) and avoid human mistakes like sunk cost. As Mohnish Pabrai pointed out, “when we spend a lot of time on something, we feel we should get something in return for that time, it’s a danger if you say, I’m going to research a company and decide if I want to invest or not. I think you’re better off researching a company with no such preconceived notion.”

This week my daughters (12, 10) and I watched both Sherlock (also BBC) and Enola Holmes (Netflix, we loved it). In both the episode and the movie, the characters had to be more objective to solve the crime.

However, it’s going full-Sherlock as much as moving in that direction. Like someone training to gain/lose weight, the goal isn’t to become extremely skinny/strong but to be more than the current state.

Meta-rationality then is under indexed, unless of course, it’s outlawed like chess.

h/t Cowen-kinda-queue, a podcast feed of Marginal Revolution mentions.