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 →

Ben Gilbert 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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1exchanges match
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Answered raw tape D 4 · C 4 · P 4 · Cm 4 4.00

Q But there are so many other examples and you guys are like the, the, like the key leaders of tech history in my mind. And so I would imagine that there's, there's more to it. And you've seen in the data LVMH performed, like I think of you as a tech history podcast and the LVMH just does incredibly well. Like, was that something you predicted? Is there something there?

A So the best episodes Are the ones that have these three key ingredients. And I always thought when we started over a tech podcast, we cover tech companies, uh, then we were in this middle phase before we sort of became more mainstream, which was, uh, educating a tech audience about non-tech phenomena. Like no tech companies are good at brand. And so when we started studying the luxury companies, it's like blowing the minds of all these tech people like, whoa, that's why this is valuable, which included myself. Like I learned during the research and I'm like, Hey audience, I, I gotta share this with you. Guess what I just figured out. And so the three key ingredients.

AI assessment note: “educating a tech audience about non-tech phenomena. Like no tech companies are good at brand.”

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