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Thanks for making my point for me! The chart really misleads re: the difference between languages. Do we even know if Clojure wages are statistically different from, say, Scala rates?

Other problems:

1. As hinted above, what are the standard deviations? Do we even know if Clojure is statistically different from HAML? Do Clojure rates exhibit higher variation than HAML?

2. $4 difference between pattern recognition v. machine learning, where pattern recognition is, effectively, a subset of ML? We see this with legal services v. contract drafting, and (arguably) info architecture v. interaction design (less overlap with these, to be sure).

Also, while John gets credit for joking about causality, I'd be very concerned about sampling bias if he uses oDesk data to examine human capital decisions.




We'll have to disagree about the axes---I think the choice of where to start axes depends on what you're trying to illustrate. For me, absolute differences in wages was what I wanted highlight.

Re: Standard error bars - you're absolutely right. I should have included them, but it was my first time using the googleVis package & didn't see an easy way to add them. I don't have the numbers right in front of me, but standard deviation for each skill was on the order of ~$7/hour and each skill had to have at least 30 obs., though many where much, much higher. If we say n=50, that's an SE of about $1/hour, so clearly one shouldn't take much stock in very small differences in wages. My goal was just to unearth some interesting data---I probably should tone down the implied recommendation lest I'm responsible for a glut of unemployable lisp hackers in a few years:)

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Hah, no worries! Sorry for being so picky about your results, and congrats on producing a novel insight.

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