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 →

Robbie Schingler 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.

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1exchanges match
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0redirected or not addressed
Answered produced feed D 5 · C 5 · P 5 · Cm 4 4.85

Q to the Bay Area. You're living in A group house in Cupertino, and Pete Worden is your boss. And what did you guys do? What were you tasked to do? Help me understand. I mean, this is, not everybody understands space research can mean a million things, like journalism can mean a million things, or finance can mean a million things, but what, what, what were you actually working on?

A We, uh, we really wanted to, well, we were working on bringing small satellites to NASA. So, you know, Will and I, and a bunch of other people, Um, work to set up a mission design center, which is, um, you know, when, when you think about a new mission, what you can do with technology, the scientific utility, how to actually bring the team together, how much it's going to cost, how long it's going to take. That is the, the very beginnings of articulating what a new mission could be. So we worked to actually set that up, uh, with the insight that we wanted to do satellites that were much smaller. If they're smaller, they're cheaper. If they're cheaper, you can take more risk. If you can take more risk, then you can have, then, and they're cheaper. Um, Then you can do more missions. If you can do more missions and you diversify your risk, then it increases the acceleration of knowledge. And so we, we work to systematize that and we set up the small spacecraft office there.

AI assessment note: “we were working on bringing small satellites to NASA”

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