Ok, some theory first of all.
I read about a psychology/economics study recently that split a group of people into two, employers and employees. The employees were then divided into purple and green groups.
First, the employees were asked to decide whether to spend a specified sum on an education, which would improve their chances on a test.
Then came the test, which, as it turns out, was a simple roll of the dice but a weighted roll which favored those who decided to spend on an education. Choosing not to invest in an education did not mean one would get a poor "score" but it did increase the chances while investing in an education improved one's chances of a good score.
Then came the hiring decision where each "employer" was presented two pieces of info on the employers: His test score and his colour. The employers were then faced with a choice: Hiring a worker who had an education got him extra dollars and hiring one without an education got him docked dollars.
These three steps were done 20 times. Each round, employees had to weigh the cost and benefits of investing in an education against the potential pay off
As the rounds went on information started to accumulate and patterns began to emerge as the web interface revealed average scores and hiring rates of the two colour groups. This was useful info because the employers were basically playing a game of odds and used the information they had to get the best possible odds of bonus cash. Likewise, employees had to weigh the cost and benefits of investing in an education against the potential pay off each round.
Results?
The first round was colour blind since green or purple had no meaning. But from the second round on, employers had more info on colour. As it turns out, more green students paid to get an education in the first round and this information started to emerge in the second round. Hiring rates were also available now by colour. Remember, higher scores don't mean the employee had an education and since it was whether they had an education that got them paid, the employers started using the data to look for hints to get that pay off. On the other side, employees started to see whether gamble of an education was paying off...literally. Greens kept investing more and more since they had good hiring prospects. Purples did not. Why bother? It wasn't paying off. A vicious cycle ensued all the way to round 20.
Another similar experiment was mentioned in the book Freakonomics. Researchers sent out thousands of cv's of varying quality (ie some good, some bad). At random they attached names to the cv's, with some white, or neutral sounding names, and some names that have a strong black association, such as Latoya or Tyrone. White names received 50% more call backs. Yes, better resumes got a lot more call backs, but only for whites. Blacks had a negligible difference.
The basic premise is that this is rational racism, ie that employers have an in built prejudice against blacks that makes them assume the worst, even in the face of evidence to the contrary.
Ok, so what's the point of all this? There are currently only two black managers working in English football, and very few black coaches.
http://www.telegraph.co.uk/sport/main.jhtml?xml=/sport/2008/03/12/sfnfro112.xml
Is football 'rationally racist'?
I read about a psychology/economics study recently that split a group of people into two, employers and employees. The employees were then divided into purple and green groups.
First, the employees were asked to decide whether to spend a specified sum on an education, which would improve their chances on a test.
Then came the test, which, as it turns out, was a simple roll of the dice but a weighted roll which favored those who decided to spend on an education. Choosing not to invest in an education did not mean one would get a poor "score" but it did increase the chances while investing in an education improved one's chances of a good score.
Then came the hiring decision where each "employer" was presented two pieces of info on the employers: His test score and his colour. The employers were then faced with a choice: Hiring a worker who had an education got him extra dollars and hiring one without an education got him docked dollars.
These three steps were done 20 times. Each round, employees had to weigh the cost and benefits of investing in an education against the potential pay off
As the rounds went on information started to accumulate and patterns began to emerge as the web interface revealed average scores and hiring rates of the two colour groups. This was useful info because the employers were basically playing a game of odds and used the information they had to get the best possible odds of bonus cash. Likewise, employees had to weigh the cost and benefits of investing in an education against the potential pay off each round.
Results?
The first round was colour blind since green or purple had no meaning. But from the second round on, employers had more info on colour. As it turns out, more green students paid to get an education in the first round and this information started to emerge in the second round. Hiring rates were also available now by colour. Remember, higher scores don't mean the employee had an education and since it was whether they had an education that got them paid, the employers started using the data to look for hints to get that pay off. On the other side, employees started to see whether gamble of an education was paying off...literally. Greens kept investing more and more since they had good hiring prospects. Purples did not. Why bother? It wasn't paying off. A vicious cycle ensued all the way to round 20.
Another similar experiment was mentioned in the book Freakonomics. Researchers sent out thousands of cv's of varying quality (ie some good, some bad). At random they attached names to the cv's, with some white, or neutral sounding names, and some names that have a strong black association, such as Latoya or Tyrone. White names received 50% more call backs. Yes, better resumes got a lot more call backs, but only for whites. Blacks had a negligible difference.
The basic premise is that this is rational racism, ie that employers have an in built prejudice against blacks that makes them assume the worst, even in the face of evidence to the contrary.
Ok, so what's the point of all this? There are currently only two black managers working in English football, and very few black coaches.
http://www.telegraph.co.uk/sport/main.jhtml?xml=/sport/2008/03/12/sfnfro112.xml
Is football 'rationally racist'?