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 →

Matthew Colford 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
0on raw tape
0redirected or not addressed
Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q So how do you know that by the way?

A Um, just based on their public records or what they've said, the industries that they've been in, you know, a lot of, a lot of them are, are coming from business. Uh, some of them have spent time in Silicon Valley. So I think the, the, the good news is that a lot of them are not coming in with some sort of bias against the technology community. Uh, and a lot of them I think are actually open to being informed by Silicon Valley on certain tech policy issues. So if you look at driverless cars, for instance, I think it's a safe assumption that Elaine Chao, who's the incoming or the presumed Secretary of Transportation, does not have any firm views on, you know, what the federal rules around driverless cars should be. And so going back to what we were talking about earlier, she might actually look to the states for guidance or for, for examples of good models.

AI assessment note: “just based on their public records or what they've said, the industries that they've been in”

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