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 →

Ami Daniel 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 5 · C 4 · P 4 · Cm 4 4.30

Q Um, you, you didn't, uh, talk too much about, uh, customers, and that's as, as I had asked you to do, so thank you for doing that. Um, but any, any thoughts on who buys that data, um, how you eventually, um, turned this into a very large data company?

A Uh, ok, so who buys this data? A lot of people. Countries buy it for millions. Commodity traders buy this, not from us, the raw data. Commodity traders buy this for hundreds of thousands. People buy it for hundreds of dollars. We buy data from all the providers, about one hundred million data points daily, and, ah, ah, use cutting edge technologies to create profiles of vessels four years back, and create an understanding of who you are, your economic profile, transactions, kind of like PayPal. Fry detection. And then look for anomalies on your behavior and do clustering event, ah, event, ah, processing anomalies and filtering for finance and for intelligence. Intelligence is who are the bad guys? Singular vessels. Finance is looking at the physical flows of cargoes to, to create a real-time event discovery of market opportunities. Because the market is very opaque, nobody knows what's happening.

AI assessment note: “who buys this data? A lot of people. Countries buy it for millions.”

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