statistics are hard

I am reading Freakonomics for a book club thing.. A minor quibble with one part. There’s a section where they are looking for evidence of racial discrimination among dating websites by comparing people that list “no racial preference” and their actual email choices:

The white men who said that race didn’t matter sent 90 percent of their e-mail queries to white women. The white women who said race didn’t matter sent about 97 percent of their e-mail queries to white men.

Is it possible that race really didn’t matter for these white women and men and that they simply never happened to browse a nonwhite date that interested them?

The above condemning conclusion-as-a-question doesn’t necessarily follow from the presented numbers. It’s meaningless without the race breakdown of the dating websites in question. That is: this large skew represents foremost the fact that … most people on the dating websites in question are probably white. I don’t have that data (they probably didn’t either). But at worst, we can assume the dating website demographics match the US: which has around 74% white people – thus indicating that white men chose white women 90% of the time from a pool that is already 75% white. (technically I should look up the demographics for race + sex, but I am too lazy). This still indicates a preference, but doesn’t justify saying that they “never happened to browse a nonwhite date that interested them”. It merely indicates a 14% difference of preference. If you really wanted to find hypocrisy in someone saying that they have no racial preference, you’d have to find a way to isolate the data such that the choices between white/non-white were 50/50 every time.

Like I said, it’s a minor quibble.. This happens to me a lot when I read pop science.. Maybe I am too comfortable reading annoyingly annotated sociology texts, but this sort of thing irks me.. Now that I’ve found them skirting past statistical subtleties to make a point, I feel like I need to read their book even more carefully – like I would a more academic text – except without the benefit of sourced data. It’s also somewhat ironic, in that this snippet comes directly after a section discussing “experts” using information asymmetry to their advantage.


Comments

Now that I’ve found them skirting past statistical subtleties to make a point, I feel like I need to read their book even more carefully

Yeah, I find that kind of thing happens to me, too, when I catch errors or poor reasoning in a non-fiction text. It’s so distracting. I kind of wish I could just, you know, lay back and enjoy it, but alas.

Laura CreekmoreAugust 09, 2009 at 12:27 · reply

You’d also have to control for class issues. Were the people of various races all at the same educational and professional levels? Like you, I suspect there is some inherent bias in the members’ choices, but it’s likely not anywhere near as stark as the book would indicate.

What is interesting to me is the number of Black men who state their ideal match’s ethnicity is anything but Black/African American. Alot of the men are attractive, but are not interested in dating a Black woman even though they themselves are Black. How sad is that? I see alot of profiles like this on yahoo personals but have also seen them on match.com.

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