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 →

Mark Andrich 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.

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Answered produced feed D 5 · C 4 · P 4 · Cm 4 4.30

Q What's an example of that? A good ESG mark, but harmful.

A Uh, so maybe, um, uh, some types of weapons manufacturers, let's say, um, I don't know, tobacco companies, so they might say, they might, you know, produce their cigarettes year on year with lower emissions. Uh, maybe they've got good workforce policies. I'll give you a good example. Um, ESG tends to be a lot about disclosure and a lot about providing data. Um, so, you know, I might Disclose to you, Nathan, that I'm going to punch you in the face, right? And I might also, um, tell you I've got a policy to not punch you in the face. Now, the impact is that I've still punched you in the face, even though I've got a great policy in a, in a, um, and I guess, uh, um, the impact is the same. So what we're looking at is, okay, is, is say Tesla providing a product that's helping people or harming people? How much is it helping people? How much is it harming people? And then how does that compare to the other car manufacturers, for example? So, you know, we had VW as high risk because it produced diesel cars.

AI assessment note: “tobacco companies, so they might say... produce their cigarettes year on year with lower emissions”

Answered produced feed D 4 · C 3 · P 3 · Cm 3 3.30

Q And so what are the data endpoints you're providing to the investors? Is it, is it, you know, tons of carbon released per year or what are the actual endpoints?

A Uh, so it might be, um, Uh, let's say number of electric vehicles per year, but the impact of that from an environmental point of view. So, so, uh, how much fossil fuels are companies producing? Um, let's say how many, um, uh, uh, how do I describe it? So you have, um, It's more the impact of the company's product and service rather than just the operational metrics. So ESG tends to be, let's say, how much carbon emissions do I have? Uh, you might be, uh, let's say you might be a producer of something that is hurting people or harming the planet, but maybe you're doing it in an efficient way. ESG tends to give you a good mark for that.

AI assessment note: “number of electric vehicles per year, but the impact of that from an environmental point”

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