The accuracy or inaccuracy of stereotypes reminds me of the regulations and ethical debates regarding the use of machine learning for example for creditworthiness. The algorithms often turn out to become "racist", because from the data they have, race is a good predictor. I'm still somewhat ambivalent on that, because I'm not convinced that statistics can be racist. But people pointed out to me that the way these sta…
Truth in stereotypes
21–30 of 93 posts
Re: Truth in stereotypes
#22Stereotypes do surely contain a grain of truth, but it's very important not to use any of them when judging individual people.
Why? Accurate stereotypes are simply group-level information about people. You could call a stereotype a weakly informative prior.
Re: Truth in stereotypes
#23Of course this raises the question of the difference between stereotypes and generalizations. I did some searching but didn't find anything I would call authoritative and I don't think I could define them myself in any meaningful terms.
Re: Truth in stereotypes
#24Stereotypes do surely contain a grain of truth, but it's very important not to use any of them when judging individual people.
Why? Accurate stereotypes are simply group-level information about people. You could call a stereotype a weakly informative prior.
Or course it depends on the size of the group, and you can construct artificial groupings to make the above false, but let's just say that all the 'standard' groups are covered: ethnicity, skin colour, gender, sexuality, etc. etc.
Re: Truth in stereotypes
#25Stereotypes do surely contain a grain of truth, but it's very important not to use any of them when judging individual people.
Re: Truth in stereotypes
#26Earlier quoted context omitted.
Why? Accurate stereotypes are simply group-level information about people. You could call a stereotype a weakly informative prior.
There's usually much more variation between individuals within a group (say, all white people) than between groups (say, white vs. asian people), nevermind individuals from different groups. Judging individuals based on aggregate statistics about their group would be foolish in the extreme. (Not to mention morally dubious, at best.) Or course it depends on the size of the group, and you can construct artificial group…
Re: Truth in stereotypes
#27Considering the great amount of statistical research the author has done, it's surprising that he's drawn some dreadful conclusions. He seems to be saying that in the face of incomplete/ambiguous information, people should form judgements on other people on the basis of racial/gender/physical stereotypes. The problem with stereotypes isn't that they have no basis in reality. The problem with stereotypes is that they…
Re: Truth in stereotypes
#28The accuracy or inaccuracy of stereotypes reminds me of the regulations and ethical debates regarding the use of machine learning for example for creditworthiness. The algorithms often turn out to become "racist", because from the data they have, race is a good predictor. I'm still somewhat ambivalent on that, because I'm not convinced that statistics can be racist. But people pointed out to me that the way these sta…
Why do you think black people aren't hired at well paying jobs? Isn't racism also in a way based on stereotypes that are often true? A business owner has no legal obligation to interview every applicant.
Re: Truth in stereotypes
#29The accuracy or inaccuracy of stereotypes reminds me of the regulations and ethical debates regarding the use of machine learning for example for creditworthiness. The algorithms often turn out to become "racist", because from the data they have, race is a good predictor. I'm still somewhat ambivalent on that, because I'm not convinced that statistics can be racist. But people pointed out to me that the way these sta…
But denying someone credit on the basis of their race is probably racist.
Why? Because having 'black skin' does not make you less credit worthy. It's a correlating factor.
In fact - the 'dangers of stereotypes' are exactly that: making prejudiced decisions based on race etc..
Creditworthiness should be established on the basis of your job, job type, income, education, history of making payments etc..
There's no way on earth it's moral or fair to deny credit because someone is black - in the same way it's ruthlessly unfair to convict someone of a crime because they are black and 'theoretically more likely to have committed crime'.
I'd argue that this is the basis for the systematic racism that exists in the system, and that we have to get over.
And I'm not a pro-PC guy - by far. I'm not even very cool with affirmative action. But we need to treat people as individuals, not stereotypes.
Re: Truth in stereotypes
#30Considering the great amount of statistical research the author has done, it's surprising that he's drawn some dreadful conclusions. He seems to be saying that in the face of incomplete/ambiguous information, people should form judgements on other people on the basis of racial/gender/physical stereotypes. The problem with stereotypes isn't that they have no basis in reality. The problem with stereotypes is that they…
It looks like "He seems...people should..." is overlaying a prescription that Lee Jussim didn't write anywhere in the essay.
Instead, he explicitly wrote the opposite: "Nothing in this essay should dissuade anyone from continuing efforts to combat discrimination."