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 →

Suhail Doshi 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.

clear all ✕
1exchanges match
1on raw tape
1redirected or not addressed
Redirected raw tape D 1 · C 4 · P 3 · Cm 3 2.70

Q Wait, yeah, why are they in two instances of rippling? That doesn't make any sense. Uh, yeah, how are we solving this?

A I, I don't want to over-rotate on it. I think the last part of what makes Silicon Valley tick is its culture of, of trust. Uh, you know, there's this whole game theory around like hawks and doves, you know, and it's, it, it turns out there is no stable equilibrium. You're like in a constant state of, of, of shifting because if, if everyone's a dove, then the returns of being a hawk are very high and vice versa. If everyone's a hawk, then you can have these like clicks of doves that, that start emerging. I, I'm really careful not to tip Silicon Valley towards this attractor state of like the hawk. And like a lot of industries end up in this state of like low trust. And I really don't want to do that. Like, look, you're going to get screwed over very, very often. We had a good laugh. You know, the memes are amazing.

AI assessment note: “I don't want to over-rotate on it. I think the last part of what”

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