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 →

Jitendra Chouksey 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.

clear all ✕
2exchanges match
2on raw tape
0redirected or not addressed
Answered raw tape D 4 · C 4 · P 4 · Cm 4 4.00

Q How do they go about it? How does a young person build a business out of this?

A So AI needs to train on data, right? And we ran into this problem when we were trying to figure out, uh, you know, blood pressure. So for example, any smart variable, right? They use regression as a tool to estimate Any of these parameters. They don't directly predict these parameters because they're non-invasive, right? So for regression, you need to have a very large data set. And unfortunately in India, you don't have data set. So all the data sets that you have are US based data sets. And so today there's a huge, uh, we have the data sets. It's unorganized. You have the pharma companies, you have hospitals, but nobody has done the job of Pulling medical data and put it, put it into a trainable data set.

AI assessment note: “nobody has done the job of Pulling medical data and put it”

Partly raw tape D 3 · C 4 · P 4 · Cm 4 3.70

Q How do they go about it? How does a young person build a business out of this?

A So AI needs to train on data, right? And we ran into this problem when we were trying to figure out, uh, you know, blood pressure. So for example, any smart variable, right? They use regression as a tool to estimate Any of these parameters. They don't directly predict these parameters because they're non-invasive, right? So for regression, you need to have a very large data set. And unfortunately in India, you don't have data set. So all the data sets that you have are US based data sets. And so today there's a huge, uh, we have the data sets. It's unorganized. You have the pharma companies, you have hospitals, but nobody has done the job of Pulling medical data and put it, put it into a trainable data set.

AI assessment note: “nobody has done the job of Pulling medical data and put it, put it into a trainable data set.”

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