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 →

Chad Byers 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.

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

Q Um, out of your, out of your portfolio, you know, maybe some more recent investments. What, what do you feel is the, the most under-hyped, uh, Portco, the company that, you know, should be getting, uh, more headlines and attention, but isn't for one reason or another?

A I mean, one that flies relatively under the radar, but I'll tell you why it's not going to be under the radar for very long is a company called chapter, which is based in New York city. And the founder is Kobe. Kobe worked at, uh, Palantir back in the day. The reason it's not going to be under the radar for very long is, um, up until two years ago, Kobe had a very interesting board and a very interesting co-founder. So his co-founder was Vivek. Um, and his board was JD and Peter Thiel. So talk about going from like, oh, we have this great board dynamic to all of a sudden being like my board members, the vice president of the United States. And, you know, Peter's still very involved in this company is doing really meaningful work and AI is going to accelerate it. It is helping this very big problem of senior citizens in the U S like navigate the Medicare, Medicaid healthcare system, pick the right plans. It is Super hard to do. Um, there's all these contingencies and other to understand the flows and prescriptions and what stuff are you on? What state are you in? And so they're making that process easier. It should help healthcare costs in La Ronde. It should help patients. This is really important work, but just talk about up leveling your connections in the world, uh, by the facet of who you chose to be investors. Um, we were the, led the seed there and, um, it'll be a many, m…

AI assessment note: “one that flies relatively under the radar... is a company called chapter”

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