The diversity trumps ability theorem
pnas.org
pnas.org
It's not always true, of course, that a randomly selected group will outperform a group of top performers. But the result does suggest that it's worth thinking hard about the tradeoff between diversity and ability, and that sometimes the former is more important than the latter.
http://www.overcomingbias.com/2007/04/the_error_of_cr.html
This one looks more complicated - as near as I can tell, he's assuming that organizations never get stuck in poor solutions, so they can always pick the best of a sufficiently large crowd.
Math and political correctness don't mix well.
I believe every team should be made up of a bunch of slow and steady chaps, and a few creative people, with the creative people split into excitable and careful.
The guys that one often assumes are slow usually have really good solutions, but when the team is too fast paced, those ideas get drowned out by the people who are loud and confident of their own ability. Soon, the quiet chaps stop talking, because they know nobody will listen to them.
Diversity has nothing to do with ethnicity if you are faced with a programming task. If you were to solve a socio-cultural problem, then diversity in terms of ethnicity would probably be a good division criteria.
The claim that diversity trumps ability is defeated in nearly every real world test.
I notice that the author's advice, to hire a random sample of candidates for the position instead of the best, is not followed by any great companies that I can think of. In fact, it's 180 degrees away from the hiring practices of places like Google, etc.
There may be an optimal level for intellectual diversity, but I wonder if it isn't closer to the minimum than the maximum for most tasks. It would be interesting to see real data on that; I have none.
In practice, you get so much accidental diversity between any two intelligent individuals (we are all quite different) that its rare that you have to go looking for more. Diversity is the great good and ideal of our time, but a rather flimsy idea when you get right down to it.
In the context of wanting to write the next Digg, I would propose that a better application of their conclusions would be, e.g., to favor hiring programmers from different schools over hiring programmers who went to the same school and studied under the same professors. In this way you might get some diversity in terms of how your programmers approach solving problems versus having a group of programmers who each approach a given problem in the same way and presumably reach the same conclusions / solutions.
There were blacks, whites, hispanic, men, women, but as I looked over the faces I thought, "Lawyer, lawyer, lawyer, not sure, lawyer, ..." and wondered where, exactly, was the diversity?
Arbitrary or superficial diversity is not a good goal.
To make a trivial example, if you're an optimistic person and you hire all optimists, you'll ignore some potential problems. If you hire all pessimists, you'll ignore some potential long-shot opportunities you should pursue. If you hire all detail people, you'll miss out on the big picture. If you hire all big picture people, you'll miss out on the details.
People tend to hire people they feel comfortable with and get along with, which tends to mean people that think like them and agree with them. So when assembling a team, getting a diversity of opinions and biases is something you really need to take seriously. You need people who can work together and be civil and come to agreements and who like working with each other, but you really do need to have a mix of people who think differently.
I have no real data on the subject, but my mother has done organizational development work using the MBTI, so I've heard plenty of anecdotal stories around the types of dysfunctions that develop at organizations that have too much of a bias in one direction.
"Should the organization hire (i) the person with the highest score, (ii) 20 people with the next 20 highest scores, or (iii) 20 people randomly selected from the applicant pool? ... In this paper, we provide conditions under which iii is better than ii."
Further, the paper is not purely theoretical, as you suppose: they then go on to provide such conditions and describe the 'computational experiment' using AI agents that they used to explore and verify their hypothesis - keeping in mind that fundamentally, their hypothesis is simply that there exists conditions under which functional diversity trumps maximized individual ability.
It's worth noting that they make a key distinction between functional diversity and identity diversity. While they do correlate the two in their abstract - with sources - their conclusion does not speak to the latter at all, instead focusing on the former and "diversity in perspective and heuristic space".
You may certainly disagree with their conclusions, but it is unfair to construct their argument as a straw man consisting solely of theoretical ideas and stupid assumptions.
Completely false. C.f. The Wisdom of Crowds. The reasons why this is true aren't entirely clear, but empirical studies show that is true.
What would be interesting, would be to see some empirical research on a fascinating topic like this.
Organizations don't work like that.
But you are no doubt right, had NYC chosen them on the basis of "diversity" instead, things would have been much better.