770 karma · joined July 18, 2008
In the bell curve of "# of years in industry", there are spikes at 10, 12, 15, and 20 -- looks like people rounding.
27% work 40 hours a week. 15% work 50, 10% work 45, 9% work 60, 4% work 35 and 30.
Unemployed hackers are very much more likely to be single (compared to the ratio for all types of employment).
I can see no noticeable correlation between hours worked and expected income.
That's where the author lost me. I'm willing to entertain the argument that a hybridization of Java and Lisp is not nearly as effective as one would hope - but the universal ultimate goal is MAKING THINGS.
And I'd be fine with "nod" -> "Facebook" (e.g.) mapping being public.
The thing of interest to me, though, was the gender-based age difference in the inversion point of the money/sex correlation. I would have expected the opposite, frankly, given society's "breadwinner" v. "trophy wife" archetypes.
I love the people and the product. Rails, C++, desktop, client/server. Interactive data visualization - analysis that's more fun than should be allowed. :)