The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Steven B. Johnson no published score: only 2 usable exchanges on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

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2exchanges match
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Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q scale. So this has been great. We've been talking about decision-making and how it plays out, you know, in crypto and creative innovation, and also then even in personal lives like Darwin or even novels and literature like Middlemarch. But what are some concrete takeaways or advice, not just for how to think about decision-making and being farsighted, but for what both people and companies, big or small, could do?

A So for instance, one of my favorite kind of tricks in the, in the book is this thing that, um, Gary Klein came up with, which is a technique also to deal with kind of the dangers of groupthink and making a, you know, let's say a work decision where you've got your team and you've decided we are going to launch this project, this product, and we're all really excited about it, and so he created this kind of technique which he calls a pre-mortem, and I love this idea. So post-mortem, obviously, the patient is dead. You're trying to figure out what caused the patient's death. A pre-mortem is this idea Is going to die a spectacularly horrible death in the future. Tell the story of how that death happened, right? In five years, this will turn out to have been a bad decision. Tell us why. And that exercise, again, it's like scenario planning. It's a kind of negative scenario planning. Even if it ends up not being true, the exercise of forcing your brain to come up with a story.

AI assessment note: “one of my favorite kind of tricks in the, in the book”

Answered raw tape D 5 · C 4 · P 4 · Cm 4 4.30

Q scale. So this has been great. We've been talking about decision-making and how it plays out, you know, in crypto and creative innovation, and also then even in personal lives like Darwin or even novels and literature like Middlemarch. But what are some concrete takeaways or advice, not just for how to think about decision-making and being farsighted, but for what both people and companies, big or small, could do?

A So for instance, one of my favorite kind of tricks in the, in the book is this thing that, um, Gary Klein came up with, which is a technique also to deal with kind of the dangers of groupthink and making a, you know, let's say a work decision where you've got your team and you've decided we are going to launch this project, this product, and we're all really excited about it, and so he created this kind of technique which he calls a pre-mortem, and I love this idea. So post-mortem, obviously, the patient is dead. You're trying to figure out what caused the patient's death. A pre-mortem is this idea Is going to die a spectacularly horrible death in the future. Tell the story of how that death happened, right? In five years, this will turn out to have been a bad decision. Tell us why. And that exercise, again, it's like scenario planning. It's a kind of negative scenario planning. Even if it ends up not being true, the exercise of forcing your brain to come up with a story.

AI assessment note: “one of my favorite kind of tricks in the, in the book is this thing”

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