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 →

Jeff Stewart 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
1on raw tape
1redirected or not addressed
Redirected raw tape D 2 · C 4 · P 4 · Cm 4 3.40

Q in, in a perfect world where, um, you know, with years and years of history that you guys are building, and you're getting, you know, more and more data sets, and you're able to make better better loans, is there, is there any reason why you couldn't just conquer the entire industry? I mean, is there, is there, is there a limit to how good all your models can become?

A Well, I think, I think one, one thing I'd point out is you're, you're mixing small business and business lending with consumer lending, and they really, there are many things that make them different, um, uh, from the data sets that you work with, and, and, um, and then the other thing that's very different is, uh, US lending versus emerging markets. And there are hundreds of millions of people moving into the emerging market middle class, educated, hardworking, that essentially, as far as the, as far as the traditional, ah, financial services are concerned, they don't exist. So, um, you really have to look at it across, you know, really as four different segments, ah, and I think there's, there's different opportunities to introduce radical efficiency into all of those.

AI assessment note: “you really have to look at it across, you know, really as four different segments”

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