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 →
Arthur Patterson 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.
Redirected produced feed
D 2 · C 3 · P 3 · Cm 3 2.70
Q that you don't do many of these, so I'm so touched that you took the time out of today to join me, and thank you so much for joining me today. I do want to start, though, with a little bit of context. So you were both in venture pre-Excel. Let's start with you, Arthur. How did you make your foray into venture, and what was that start for you?
A I think, yeah, what you were interested in is sort of how did we get to Accel. You know, Accel, the venture market Had expanded for about eight years from 75, from all this non-existence in 74. I came in computers, about the only thing I've got. In about 78, all the firms that you knew of and had raised money were really formed in about 78, and those were the name, brand names, and even KP that had been started earlier, they had a tiny amount of money, and so 78, so there'd been about a, we formed Adler and Company in 78, and so there'd been about a five-year run by 83, which, uh, It was great for everybody, and a real nice change from the prior period, but the portfolios of all the firms, because the business was so small, were very diverse, and the individual partners within the firms had very diverse board roles and relationships, so everybody had a semiconductor company, and a software company, and a healthcare company, and the portfolios and the individuals were very spread, and that really set it up For Excel. Today, the business is two orders of magnitude, what it was in those days. It's just, everybody knew everybody in those days, and today it's two orders of magnitude. But the business increased a lot from 78 to 83. I think our fund went from 15 to seventy million during that period of time.
AI assessment note: “I think, yeah, what you were interested in is sort of how did we get to Accel.”
Redirected produced feed
D 2 · C 3 · P 3 · Cm 3 2.70
Q that you don't do many of these, so I'm so touched that you took the time out of today to join me, and thank you so much for joining me today. I do want to start, though, with a little bit of context. So you were both in venture pre-Excel. Let's start with you, Arthur. How did you make your foray into venture, and what was that start for you?
A I think, yeah, what you were interested in is sort of how did we get to Accel. You know, Accel, the venture market Had expanded for about eight years from 75, from all this non-existence in 74. I came in computers, about the only thing I've got. In about 78, all the firms that you knew of and had raised money were really formed in about 78, and those were the name, brand names, and even KP that had been started earlier, they had a tiny amount of money, and so 78, so there'd been about a, we formed Adler and Company in 78, and so there'd been about a five-year run by 83, which, uh, It was great for everybody, and a real nice change from the prior period, but the portfolios of all the firms, because the business was so small, were very diverse, and the individual partners within the firms had very diverse board roles and relationships, so everybody had a semiconductor company, and a software company, and a healthcare company, and the portfolios and the individuals were very spread, and that really set it up For Excel. Today, the business is two orders of magnitude, what it was in those days. It's just, everybody knew everybody in those days, and today it's two orders of magnitude. But the business increased a lot from 78 to 83. I think our fund went from 15 to seventy million during that period of time.
AI assessment note: “I think, yeah, what you were interested in is sort of how did we get to Accel.”
