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 →

Heidi Yu 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
1redirected or not addressed
Redirected produced feed D 3 · C 4 · P 4 · Cm 3 3.55

Q Come on, Heidi, you better make this good. Why are you the hottest?

A Oh yeah. Oh, actually let's talk about technology. So we process all the online data from text, photos, and videos as a big data deep learning, um, deep learning algorithm to make sure, for example, if PewDiePie has a lot of followers and one of the followers posts anything on his social media, we will process all that from like photo, uh, the, uh, the facial, the photo, and also the text to find out who is this person. All over the, all from all the, all the data from everywhere from the internet to make sure where this person is and who this person represents. Um, and, uh, so we know all that sixty thousand, sixty million followers of PewDiePie, um, that, that demographic look like.

AI assessment note: “Oh, actually let's talk about technology. So we process all the online data”

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