Because people become the most neurotic versions of themselves on their quest for True Love, and that’s totally allowed. Here’s the thing: when asked during in-person meetings, 90% of my clients report having racial preferences. And I’m not just talking about white-on-white preferences.
People are entitled to their taste and you can’t help who you fall in love with, right? Which maybe doesn’t sound bad, because I mean, they have other preferences, too. I’m talking about all my clients, only 55% of whom identify as white.
piece in which I supported openness to interracial partners.
She said: Wow, not only is she waaaaaaay off, but her comment reminded me of the darts that are also aimed at Asian men when they wonder if they’re being sidelined in love.
They’re not thinking about the fact that this is a widespread phenomenon.
They’re just thinking about their own personal preferences. It’s cultural, it’s national, and it’s fucking everywhere. Christian Rudder, co-founder of Ok Cupid, writes: Scrolling through Ok Cupid’s blog, you’ll stumble across a myriad of depressing race stats.
How racist are Americans when it comes to selecting a mate? He only included heterosexual interactions between users who self-identified with the site's five largest racial categories: Black, White, Asian (East Asian), Hispanic/Latino and Indian.
The chart below shows how likely you will be to get replies from girls based on race. They are particularly popular with Indian, Asian, Latin and white women.
“White women prefer white men to the exclusion of everyone else — and Asian and Hispanic women prefer them even more exclusively.” “Men don’t write black women back.” Their gay data reads the same: “Blacks get fewer responses.” Have you closed your browser and crawled into a hole to live out the rest of your days unencumbered by society and its bullshit yet?
As is protocol with sweeping epidemics, people should start by honestly talking about the problem (see: for suggestions).
A new study of racism in Ok Cupid messaging finds a bit of hope in a sea of largely same-race interactions.
He found that people from all racial backgrounds disproportionately contacted users from their same racial background.