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 →

Josh Becker 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 4 · C 4 · P 4 · Cm 3 3.85

Q Just are lawyers ready to buy big data?

A Well, I'd say, you know, a lot of people tell us we're crazy. You know, like, hey, you know, lawyers, most lawyers went to law school to avoid data, right? And now you're trying to sell data to lawyers. Um, I, I think a couple things, though, what's interesting, one is, you know, we did have a big, you know, a lot of big companies fund the initial, um, academic work because of this rising, you know, problem and patent monetization entities, and, and so there was an eagerness to kind of understand a little bit of what, what's going on. The other thing is, what we initially did in selling to lawyers, especially, um, you know, law firm partners who, I'm familiar with, you know, the latest in data science, is we sell history. Right? So it's like, we're not selling data prediction, we're selling history. Right? This is what happened in the past, which you may want to know, may help you decide what's going to happen in the future. So that's really kind of what we had to start to do, but I do think there are, is a new generation, especially You know, younger generation of partners at firms that are more open to this, but we still walk into some places and, and get blank stares.

AI assessment note: “younger generation of partners at firms that are more open to this, but we still”

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