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 →

Sam Arbesman 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 3 · Cm 4 4.35

Q Why does it even matter to know these things? I mean, okay, beyond being a product manager that you're, or you're interviewing, you know, you're trying to find out their skills in the enterprise. Does it really matter for us as users, as consumers to really know how our systems work? I only care that things are working.

A So I think, and for the most part, a user, they can, they can just use things and often be blissfully unaware. And it seems like it's fine. I think the, uh, the major problem though, is that it's one thing to say that Oh, there's some expert somewhere who can understand the system in its entirety and really knows what's going on. We can kind of outsource our understanding to them, but more and more, there's really no one who can understand is exactly the point that's being made here. And so really when no one fully understands it, it's incumbent upon each of us to at least have some way of thinking about these systems, at least some sort of like glimpse into what's happening. Um, sometimes underneath the kind of fairly simple interface to into the underlying complexity, because oftentimes We think we understand the system, and then we're confronted with a bug or some other kind of unexpected behavior, and then we realize there's a gap between how we thought it would work and how it actually does work.

AI assessment note: “it's incumbent upon each of us to at least have some way of thinking”

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