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 →

Eric Scott no published score: only 1 usable exchange 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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1exchanges match
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Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q So despite not being a PhD in computer science, you're able to work with him. Like what, what were you able to do to add value?

A You know, my, um, my email to him basically said, I, you can pay me whatever you want. I just want to learn how to start companies. And the idea was I was effectively going to be a junior product manager. Um, and Uh, at the time, the idea behind HVF was Max was going to start one company per year, and he was gonna find a CEO one year in to run each of those companies. And so, I joined basically thinking I was gonna look into markets, I was going to basically just be his chief of staff on the business side of things, and there would be a separate person on the technical side of things. And around six weeks in, uh, there was somebody who was pitching him an angel investment, He brought me into the meeting. He asked me what I thought about the company. It was, it was when big data was, was the industry du jour. Um, he asked me my thoughts on the company and I said, I think it's going to make money, but I'm, I'm pretty bored. And he said, hmm, I think you're a lot better at analyzing these companies than you are at rapidly prototyping.

AI assessment note: “I was going to basically just be his chief of staff on the business side”

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