Whitemen dating blackwomen
“Asian, Latin and white men tend to give black women 1 to 1.5 stars less, while black men’s ratings of black women are more consistent with their ratings of all races of women,” he wrote.
The most highly-rated groups of women by men were those of Asian and Latin descent, with white women not far behind.
The algorithm-based sites of the early 2000s now look obsolete, and for millions, dating has been boiled down to one essential question: “Is this person hot?
”But, in drastically streamlining the attraction process, and entirely by accident, Tinder became the skeleton key to unlocking data on racism in America.
White male-black female marriages are more likely to survive beyond 10 years, and last longer than any other cohort of racial marriage statistics. When it comes to butts and busts and hip to waist ratios, the times my mouth hits the floor it’s usually looking at a black girl’s incredible body.
According to researchers: These marriage statistics jive with how I felt when I was in an interracial relationship with a black girl, even though I’m never getting married in Anglo America because of the legal system. Personally, I look back on half a lifetime of mostly positive experiences and nice memories of the black women I dated.
(Why, then are they seen as such villains in the media and at home?
Among much of the world’s population, Western men are seen as the gold standard.
Contrary to the stereotypes, many of the black women I dated were not drama queens, although there certainly is that segment of the population.
They were soft-spoken, intelligent, and quite frankly much more fun to be around than the self-absorbed princesses white chicks have become.
Generally, most users on OKC — and by extension, other sites — “swipe left” on black women and Asian men the most.
That data matches Tinder’s data exactly.’s findings, Jack Linshi explained OKC’s 1 to 5 scale and how different racial groups of women rated Asian men.
It was a year later when OKCupid founder Christian Rudder published , a book which collects illustrated data visualizations with stats from OKC user profiles.