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 →

Pierre Paul 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 D.C., there's Gallaudet University, and there are cafes around there where all the employees are deaf, but, but it's still This is a problem that needs to be solved, right? You can't just walk, walk into a store if you are hard of hearing or deaf and easily order if that person can't read lips, and it's challenging for the cross communications. You're thinking, how can I solve this problem?

A Absolutely, and so I started going to every single professor and every single professional who might have an expertise in this area, and I was told no so many times. I was told, really great idea, can't be done. Really great idea, we don't know where to start. This can't be done, and I refused to give up, and I remember I'm on the last two people that I could possibly ask, and I tell him the idea, and he's like, I like it. Let's do it. And I remember being shocked. I was like, are you kidding? Are you, like, yanking my chain? Like, are we messing around here? Um, he was like, no, I love you. He's like, I'm super busy, but I have another professor who's gonna love to help you. We have some students who interned for NASA who've been looking for a passion project.

AI assessment note: “so I started going to every single professor and every single professional”

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