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 →

Joseph Choi no published score: only 2 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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2exchanges match
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Answered raw tape D 5 · C 5 · P 4 · Cm 4 4.60

Q So when you find a format that's working and scalable, does it make sense to create new accounts for it? Is that what you're saying?

A Yeah. Yeah. It does. Yeah. Because the algorithm works in a way where Um, if you think about like TikTok wants, if, if content is good, TikTok wants to show it to the right people. Like it's in their best interest to get more watch time. So if they're, if they know that a certain account has a lot of, uh, so for example, if this, like, if this reached XYZ audience, then now TikTok or Instagram reels, they know that This account, sir, this content did well with this audience. Um, so if you make another video that looks similar, has the same face, the same, you know, format, then it'll be a lot easier for it to, for the algorithm to serve that content to the same audience again. Um, so if you see, um, if we go back to the colostrum videos, This account figured out that the food content works, so they just spam the same thing every day. Um, so the algorithm knows and expects what audience to serve it to. It just helps with the algorithm. If you put too many faces in a single account, um, then it'll hurt your, your reach. The algorithm kind of gets confused. Like, who do I, who do I show this to? Um, so it's, it's not so much about making the whole page look aesthetic. It's more because people don't really Look at the page anyway. It's more like optimizing it for the algorithm and making sure it knows who to serve the content to.

AI assessment note: “Yeah. Yeah. It does. Yeah. Because the algorithm works in a way where”

Answered raw tape D 5 · C 4 · P 4 · Cm 3 4.15

Q And do we know, do we know the business model of WhatColors? Like, how they charge?

A It's, uh, so a lot of these apps that are like single, single utility apps are just, uh, paywall. So you onboard onto the app, you answer a few questions, and then they hit you with the paywall. You pay weekly or annually. And, uh, then you can scan your face. Typically, they have you scan your face first, so you're kind of bought in, and then it does the paywall, and then you pay subscriptions. Um, which is also, by the way, Subscriptions. I think one of the other reasons why the consumer apps are having such a boom is because of, um, uh, the double tap to pay. Like, I think that Apple pay that simple, like UX change has changed people's perception of, um, Uh, of iOS subscriptions. Like if you look at the past five, 10 years of iOS subscriptions, the, the revenue is just blowing up. Um, like apps have always existed. You know, there was a, the 2000, you know, app boom and then, um, but none of those apps were monetized. They're all free. Now, like people are actually paying for apps. So this is, um, yeah, this is one of these apps that you, you pay for, for as a subscription.

AI assessment note: “You pay weekly or annually. And, uh, then you can scan your face.”

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