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 →

John Stein 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 5 · Cm 4 4.85

Q 8.2 billion guys. So guys, there's your teaser. We're going to come back to kind of current day betterment and where John sees the future going. But John, take us back, man, because it sounds like you did two degrees at Harvard and it looks like you're maybe leaning towards medical. What in 2008 brought you back towards kind of financial?

A Well, I studied economics and a little bit of behavioral biology as an undergrad, and those were really where my interests were. And as I came out of school, I was an economics major, and 80% of the graduating class from Harvard went into finance of some sort. And at that time, finance, I mean, 80% is a crazy number for people in a single industry. But at that time, 40% of all the financial profits in the U.S. were coming from financial services. This was And it just, it didn't make any sense that, uh, that, that so much money was going to financial firms. Something seemed broken. I didn't want to just follow everyone I knew into finance. Um, and so for a while I thought I'd be a doctor. I did a post-bac pre-med degree. I wanted to help people. I wanted to do something that I felt would be really good for the world. And, uh, and yet I didn't really like blood. I didn't really like working in the lab, like the whole, I decided, although I love the science, medicine probably wasn't for me. And then I found myself back in New York, and I found myself consulting for banks, helping banks make more money.

AI assessment note: “I decided, although I love the science, medicine probably wasn't for me.”

page 1
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 2,600 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.