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 →

Dan Feder 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
Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q in our universe say like for us to invest, we, we have a lot of stuff coming through our network too. And we also are out there, you know, hunting and getting like blind intros to founders. Did you come across that strategy of network only just while you've been at the university of Michigan, or is that something you saw work and felt work and earlier in your career?

A I think it's sort of sunk in over time. That's what I, Learned when I was at Princeton working with Andy Golden, and basically the idea there was that we want to be in business with really great people, great groups, and that with a small team trying to cover the world, and with the networks that, that Princeton has, and with later when I was at Wash U and now at Michigan, there, there's some really phenomenal networks. It's really not playing to our strengths to go out and meet everybody who's got a fund and try to be a picker. Being a picker is really, really hard. It's hard in any, in any sense, right? If you want to be a stock picker, you know, these things are done in isolation. And so what we're doing is just leveraging the things that we have that are basically in our own portfolio, which are connectivity with people, connectivity with information that other people just don't have, and then doing our best with that.

AI assessment note: “That's what I, Learned when I was at Princeton working with Andy Golden”

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