December 27th, 2014
In Philosophy
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If you enjoy this article, see the other most popular articles
If you enjoy this article, see the other most popular articles
If you enjoy this article, see the other most popular articles
When rational thinking is correlated with intelligence the correlation is modest
(written by lawrence krubner, however indented passages are often quotes). You can contact lawrence at: lawrence@krubner.com, or follow me on Twitter.
I consider myself smart and rational, so I was surprised that I stumbled on many of the test questions. I got this one wrong, though you would think, having been programming computers for 15 years, I surely should have gotten this one right:
Jack is looking at Anne, but Anne is looking at George. Jack is married, but George is not. Is a married person looking at an unmarried person?
A) Yes
B) No
C) Cannot be determined
Oddly enough, I feel that if this had been presented to me as a bit of Java or Ruby code, then I would have gotten this one correct. It’s the informality of English, and the assumptions I make when reading English, that tripped me up.
Computer code engages the rational side of my brain in a way that English does not.
And to follow up on a point made long ago by Jeff Atwood, I think this (that IQ and rationality are different) also explains the strange inability of some smart people to learn how to program computers.
Jeff Atwood discusses this quote:
“All teachers of programming find that their results display a ‘double hump’. It is as if there are two populations: those who can [program], and those who cannot [program], each with its own independent bell curve. Almost all research into programming teaching and learning have concentrated on teaching: change the language, change the application area, use an IDE and work on motivation. None of it works, and the double hump persists.”
And also this quote:
“Despite the enormous changes which have taken place since electronic computing was invented in the 1950s, some things remain stubbornly the same. In particular, most people can’t learn to program: between 30% and 60% of every university computer science department’s intake fail the first programming course. Experienced teachers are weary but never oblivious of this fact; brighteyed beginners who believe that the old ones must have been doing it wrong learn the truth from bitter experience; and so it has been for almost two generations, ever since the subject began in the 1960s.”
Post external references
- 1
http://blog.codinghorror.com/separating-programming-sheep-from-non-programming-goats/
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