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 →

Ryan Smith no published score: no 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.

clear all ✕
1exchanges match
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0redirected or not addressed
Answered produced feed D 5 · C 4 · P 4 · Cm 4 4.30

Q Yeah. Or can you redefine the TAM based on what your software does?

A Yeah. And then what, what are you going to get? Because people are like, oh, when we were starting, oh, it's a fifty billion dollar research TAM. And I was like, yeah, but Nielsen isn't going away. Right? So it's like, just how much of that are you going to get? Yeah. So when I went and presented the VCs, I was like, look, here's the TAM. I don't care about it. This is how much we're going to own. And I, I got it from 50 down to like a billion and say, hey, this is realistic. And they're like, whoa, no one's ever presented that way. I was like, well, what you're going to present to me isn't going to be right.

AI assessment note: “I got it from 50 down to like a billion and say, hey, this is realistic.”

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