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 →

Ethan Penner 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.

clear all ✕
1exchanges match
1on raw tape
0redirected or not addressed
Partly raw tape D 3 · C 4 · P 2 · Cm 3 3.05

Q And so you did this, you had a lot of financial success in the nineties. What was next? I mean, you always had a unique approach, you know, where you're, you're a student of you in behavior, you're interested in philosophy. What'd you do after that?

A Well, I think that, you know, as I've come to learn about myself in life, you know, at the, at the outset of my life, I was driven like all poor kids. I just want to solve for financial stability. I don't want to be poor anymore, you know, and I don't, I really want to make sure my mother, who's a single mother, was not going to grow up and grow old in poverty, right? So, I mean, I had a, I had a kind of like, let's, let's solve financial issues first and foremost. And then by the time I was in my thirties, I had solved it according to my own vision of what that meant. Um, and I, you know, I kind of learned a lot about myself, which is I love building businesses. I love really challenging markets and challenging situations. I love dislocations and I love cause it opens the door for creative solutions, which I enjoy being a part of bringing. I don't love rinse and repeat. Like, and that's really how you get very rich, I've learned in life. Like, rinse and repeat people.

AI assessment note: “I kind of learned a lot about myself, which is I love building businesses.”

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