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 →

Farhan Afsahi no published score: no usable exchanges 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
0on raw tape
0redirected or not addressed
Answered produced feed D 5 · C 4 · P 4 · Cm 4 4.30

Q Farhan, what's an example of B to B fraud?

A Uh, so for example, an example of B to B fraud is that, uh, you want to verify a company in China. You want to buy some steel, for example, from a manufacturer in China. Uh, there are some vendors involved in the process and you want to check if those companies are registered, uh, correctly, uh, if they are not impersonated by some type of scammers or fraudsters, uh, if they're not in any kind of sanctions list or, uh, Like, money laundering lists. Uh, so basically, it's part of a, like, due diligence that you're going to do. We're providing that due diligence for you. Uh, and yeah, so for example, one of the things that we've prevented is, like, B to B impersonation fraud. Uh, like, for example, right now in the oil industry, uh, because of the Russian-Ukraine war, uh, there's a lot of, uh, fraudulent activities happening that, uh, companies in, uh, like Ukraine, Russia, and, uh, like UAE, Turkey, other, uh, some sort of, uh, all of, uh, countries, uh, like these, uh, In these regions, uh, are, uh, for example, copying the data from a U.S. company and impersonating them to, as a seller or as a buyer. And catching this type of impersonation is a bit hard for normal person. I see.

AI assessment note: “an example of B to B fraud is that, uh, you want to verify”

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