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 →

Alexander Bisignano 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
1on raw tape
0redirected or not addressed
Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q this, and thanks for, um, not turning this into a product pitch, which is something I typically ask people to do, but they don't always do that. Um, could, but so, since you've been so kind from that, um, perspective, could you actually, uh, tell us a little bit more about what, uh, Recommend actually does, just, you know, in a, in a minute, the, the first product in particular?

A Absolutely. So I mentioned single gene disorders like cystic fibrosis. Those are actually regularly tested for in the U.S. by either fertility physician, reproductive endocrinologists, or OBGYNs. Um, LabCorp and Quest, two of the two biggest labs, dominate that testing market, um, and each disease that you might test for, cystic fibrosis, spinal muscular atrophy, Fragile X, Tay-Sachs, these are well-known diseases, can cost thousands of dollars using older technologies, so the first thing we did actually is apply these microarray and sequencing technologies, and we developed a test that can do 250 of the most common diseases of this nature for under 500 dollars to patients that don't have private insurance, and This is just making it more accessible. It's generating more data. It's more accurate. It's faster. It's really an application of these technologies to an area that we're already regularly doing in medicine, um, and beyond that, what we can do now is we can leverage the amount of data we're generating at the point of care and actually run research and development and become an asset for our physicians, so, um.

AI assessment note: “we developed a test that can do 250 of the most common diseases”

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