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 →

Ben Brokus 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 5 · P 4 · Cm 4 4.60

Q Yeah. Well, it's all, it's all relative is how we like to look at it here on the show. Let's talk about source points. So was this a problem that you had at AdMeld? You said, I need to leave and actually just build this for everyone else. Or how did you identify this problem?

A Oh, no, I, I mean, I think data privacy is one of those things that has been building for the past three, four, five decades. I mean, data is the lifeblood and is the oil of what runs the digital enterprise today. Uh, and, and the understanding that from a user perspective, uh, most users don't, um, understand what the value exchange by giving their data away, uh, and more and more that data can be Stolen or utilized in ways that, um, that the individual user doesn't want digital advertising, digital marketing made a lot of this data available. And there are a number of brokers, uh, that don't act responsibly like good digital citizens don't act ethically, uh, and don't keep that data secure. And so while I was at Google, after we almost created the problem while there, we developed a protocol that, Called real-time bidding. And the RTB protocol enables marketers to bid on individual users based on their data profile. And that made data available on just about everyone. Uh, understanding that you're in thousands, if not hundreds of thousands of data graphs around the world, uh, might make you feel uncomfortable. At any rate, we knew that That the, that the digital media ecosystem needed to clean up its act, and we wanted to provide a solution, and that's what we did, and we created the best solution in the world for large-scale digital digital enterprises to evaluate what their…

AI assessment note: “And so while I was at Google, after we almost created the problem while there”

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