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 →

Parth Vasa no published score: only 1 usable exchange 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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1exchanges match
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0redirected or not addressed
Answered raw tape D 5 · C 5 · P 4 · Cm 4 4.60

Q Thank you very much. Why, why the choice of Solr as opposed to, I don't know, Elastic or other frameworks?

A It's a great question. I think it came down to a couple of things. One was, we were looking for something that was truly open source, where we had a lot more control over open source and, sorry, source code, and a lot more, uh, saying how the direction goes. Elastic is an awesome product. Uh, it's, It's very easy to use, and they're both based on Lucene, so they are both really, really good products. But the thing about Elastic is it's a product that is geared towards accompanying, supporting, and maintaining it. You can see the source code, but it's not the same as a wild, wild west of a true open source software, right? So it's like, the joke was that some people like the Beatles, some people like the Stones, we like the Stones.

AI assessment note: “we were looking for something that was truly open source”

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