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Wiki source code of But White women are whores

Version 92.1 by Ryan C on 2025/06/25 17:00

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1 = The latest studies and statistics on interracial relationships =
2
3 Focusing on:
4 - Online dating and hookups
5 - Marriage
6 - Cohabitation
7 - Birth data and trends
8 - Relationship outcomes
9 From 2014 to 2024
10
11 [[image:GeEgU8MWcAAEOuh.jpg||width="350px"]]
12
13 == The earliest data from OkCupid ==
14
15 White women are the most racially exclusive.
16 Despite liberals outnumbering cons over 2 to 1, and their preference taboo.
17 Exclusivity increased in 2014, despite an altered matching algorithm.
18 Asian women desired Black men more than White women.
19
20 [[image:GeEhikVWQAAOdYf.png||width="350px"]] [[image:GeEhje9WoAAabKy.png||width="350px"]]
21
22 [Source](https://www.psychologytoday.com/sg/blog/pop-psych/201401/what-does-online-dating-tell-us-about-racial-views)
23
24 == OkCupid Matching Scores ==
25
26 'QuickMatch score' predicts compatibility based on profile information, rather than visual attraction.
27 'Let's Meet score' predicts the willingness to engage in real-world meeting based on visual attraction (rating).
28 [More info](http://shorturl.at/2zNvc)
29
30 [[image:GeEhkDXXwAApqKF.png||width="350px"]] [[image:GeEhkr4WIAAufIw.png||width="350px"]] [[image:GeEhrA8WwAAkrdD.jpg||width="350px"]]
31
32 == European Online Dating Study (2015) ==
33
34 Individuals uniformly prefer to date same-race partners, and there is a hierarchy of preferences among natives and minorities.
35 Non-Arabic minority daters have strong preferences for Europeans.
36
37 [[image:GeEhyWlXsAAn9Zd.png||width="300px"]] [[image:GeEhy53WIAAJON_.png||width="300px"]] [[image:GeEhzYlXAAAOZsc.png||width="300px"]]
38
39 == Crossracial Differences in Preferences (2016) ==
40
41 African-Americans are the least desired dating partners.
42 The percentage of European-Americans willing to date African-Americans is significantly lower than the percentage willing to date Hispanic and Asian-Americans.
43
44 [[image:GeEh5f_XkAATVCz.png||width="350px"]] [[image:GeEh6BIWkAAbeMZ.png||width="350px"]]
45
46 == Assortative Mating and Online Dating (2017, Germany) ==
47
48 Online dating reduces endogamy compared to other forms of meeting partners, but mainly educational and religious endogamy.
49 Racial endogamy is twice as prevalent as the former two.
50
51 [[image:GeEiBViWcAAO_h1.png||width="350px"]] [[image:GeEiCdyXAAAB3Bk.png||width="350px"]]
52
53 == Tinder Usage and Interracial Dating (2020, Netherlands) ==
54
55 Using 24 fake Tinder profiles featuring White and non-White people (minorities in the Netherlands: Turkish, Moroccan, etc).
56 12 White, 12 non-White.
57 All respondents found White-looking profiles more attractive.
58
59 [[image:GeEiZQAXAAAitYl.jpg||width="350px"]] [[image:GeEigtRWAAAmzee.png||width="350px"]]
60
61 Study limitations: Asking respondents to indicate ethnic similarity could have primed them to the purpose of the study, and led to increased social desirability in their answers.
62 Conclusion: All respondents ranked Caucasian-looking Tinder users as more attractive and dateable.
63
64 == Modeling Dating Decisions (2021) ==
65
66 "Attractiveness and race were nearly double the influence of other things...
67 While attractiveness played a major role in the participants' decisions to swipe left or right, race was a leading factor."
68
69 [[image:GeEingJWUAAhkg4.png||width="350px"]] [[image:GeEioFUXkAAA8dW.png||width="350px"]]
70
71 Conclusion:
72 "When the targets were Black, Asian, or Hispanic, they were less likely to be swiped right on. Among the largest effect sizes was a lower likelihood of swiping right if the target was Black.
73 Negative stereotypes may impact their [perceived] attractiveness."
74
75 [[image:GeEix-BWgAApy7S.png||width="350px"]] [[image:GeEiyiFXcAAUYG6.png||width="350px"]]
76
77 == Assortative Online Dating (2022, Netherlands) ==
78
79 Respondents with a Dutch ancestry were more likely to select a White person.
80 Both Dutch and non-Dutch ancestry preferred White targets.
81 Race was the most important factor in partner choice.
82
83 [[image:GeEi554WwAAO7bQ.jpg||width="350px"]] [[image:GeEi6a0XkAAOvGR.png||width="350px"]]
84
85 A dating app experiment with 500 young adults:
86 Visual cues to race determine selection, while related cultural signaling appears irrelevant.
87
88 [[image:GeEi_7qWIAA4P-h.png||width="350px"]] [[image:GeEjAaZWwAAmGAu.png||width="350px"]]
89
90 == Romance & Racism (2022) ==
91
92 White women particularly had strong same-race preferences.
93 Latinas liked White men over Black and Asian, but not Latinos.
94 Asian women preferred Asian over Black, but not White men.
95 Black women did not show a preference for any race.
96
97 [[image:GeEjHvkWIAA-L3h.png||width="300px"]] [[image:GeEjINRW4AAEnMq.png||width="300px"]] [[image:GeEjIuuXAAELMhS.png||width="300px"]]
98
99 White women and Latinas were more willing to date White men than Asian and Black men.
100 Asian and Black men were equally disliked.
101 Asian women preferred White and Asian men. (They were more willing to date Black men than White women were.)
102 Black women had no racial preference.
103
104 [[image:GeEjRC0XoAAhawH.png||width="350px"]] [[image:GeEjRm1XgAAfuwa.png||width="350px"]]
105
106 == Tinder and Russian Generation Z (2022) ==
107
108 Dateability is heavily influenced by racial preferences.
109 Almost everyone stated that they would never swipe right on someone of a different race.
110
111 [[image:GeEjdqXWMAAjI8u.png||width="350px"]] [[image:GeEjeUAWQAAptFT.png||width="350px"]]
112
113 Theorized cause: "Sexual racism" from Russian media.
114 Russian children don't see Black people growing up, so they absorb pictures of Blacks from Russian pop culture. This shows them with low social capital, thus zoomers hesitate.
115
116 [[image:GeEjmlVWcAATC56.png||width="250px"]] [[image:GeEjnf6WUAAw71T.png||width="250px"]] [[image:GeEjn-tXkAAJZDf.png||width="250px"]] [[image:GeEjoZeXoAAhaRk.jpg||width="250px"]]
117
118 == Racial Preferences in Dating Apps (2023, Aldana et al) ==
119
120 In a mock tinder app with 2,513 participants:
121 All of the female participants who initiated a conversation in the heterosexual condition with the Black male profile were trans women, according to their bios.
122
123 [[image:GeEjydPWgAAKbP-.jpg||width="250px"]] [[image:GeEjzCfWMAA66c0.jpg||width="250px"]] [[image:GeEjzi5WkAALq4c.jpg||width="250px"]] [[image:GeEj0BgXYAAsBef.jpg||width="250px"]]
124
125 Thousands of people saw these profiles.
126 White profiles had more likes in every situation.
127 Conclusion: Homogamous preferences, and rooted problems like sexual racism, can lead users to maintain a racialized sexual hierarchy that privileges Whiteness.
128
129 [[image:GeEkIE6W0AAi6qS.jpg||width="350px"]]
130
131 == Match's Singles in America (2023) ==
132
133 Gen Z Less Likely To Date Outside of Their Race Than Millennials.
134 While Gen Z might be known for their progressive politics, they might not be as progressive when it comes to dating compared with their Millenial elders.
135
136 [[image:GeEkfFQWIAAgOaK.jpg||width="350px"]] [[image:GeEkfnEXUAAajhI.jpg||width="350px"]]
137
138 == Annual Review of Sociology (2024) ==
139
140 It was speculated that Asian men face more discrimination from White women than Black men do.
141 Yet, Black and Asian men outmarry at similar rates.
142 White women discriminate against Black and Asian men equally.
143
144 [[image:GeEkrbsWkAEGDEd.png||width="350px"]]
145
146 Therefore, White men's marriage patterns with Black women are the anomaly, and must be due to anti-Black discrimination.
147 White men's anti-Black discrimination may be a more important explanation for observed intermarriage patterns.
148
149 [[image:GeEkyBdWQAAI1ux.png||width="350px"]]
150
151 == Racial Marriage Preferences and Online Dating (2024) ==
152
153 The rise of dating apps hasn't changed racial marriage preferences:
154 "Our results indicated strong racial preferences... The paper found minimal changes in these preferences over the 2008-21 period, in which online dating dominated marriage selection."
155
156 [[image:GeEk5WXXgAA4E6z.jpg||width="350px"]] [[image:GeEk528WQAAC1zc.png||width="350px"]]
157
158 Conclusion:
159 Our findings of minimal changes in preferences over the 2008-21 period is surprising. Given the proliferation of online dating...
160 Because people have increasingly been marrying someone more like themselves, that can account for the increase in household inequality.
161
162 [[image:GeEk9p-WgAAE_f6.png||width="350px"]]
163
164 = Marriage =
165
166 Among currently married women in their 1st marriage in 2016, 10 percent were in an interracial/interethnic marriage.
167 10.3% of women
168 5.1% of married non-Hispanic White women
169 8% of married Black women
170 20.6% of Asian women
171 22.4% of Hispanic or Latino (any race)
172
173 [[image:GeElhTVWUAAgkH8.png||width="350px"]] [[image:GeElh5kWoAAfp4j.png||width="350px"]]
174
175 Why is the number (5.1%) so low here?
176 Research has shown that interracial couples have higher rates of divorce than other couples, so the percentage of currently married interracial couples shown in the table may be lower than the percentage of interracial couples who married.
177
178 [[image:GeEl0I4WYAAOtU5.png||width="350px"]] [[image:GeEl0u4XIAAw68r.png||width="350px"]]
179
180 What are the trends?
181 2000-2016, the total % of interracial married households increased from 7.4% to 10.2%.
182 Of this:
183 White/Hispanic: 35% to 40% respectively.
184 White/Asian: 12.5%-14.4%
185 White/Black couples: 7.1%-8.1%.
186 Note: this is % of IR households, not all households
187
188 [[image:GeEmHEXXkAEuRGK.jpg||width="350px"]]
189
190 == Black-White Intermarriage in a Global Perspective (2023) ==
191
192 For the first time, French data includes a proxy for race!
193 White females | White males:
194 Brazil: 5.4% / 4.1%
195 France: 2.0% / 1.4%
196 UK: 0.7% / 0.4%
197 USA: 2.0% / 0.6%
198 SA: 0.5% / 1.0%
199
200 [[image:GeEmn2hXsAA5TMv.png||width="350px"]] [[image:GeEmoQjWEAAe5dp.png||width="350px"]]
201
202 "We use the term intermarriage in a generic manner; in our study we examine both married and cohabiting couples.
203 A feature of black–white intermarriage in the US is an imbalanced sex ratio; such gender imbalances are not found in any other countries."
204 [Full study](https://www.demographic-research.org/volumes/vol49/28/49-28.pdf)
205
206 [[image:GeEm27LWgAA3msM.png||width="350px"]] [[image:GeEm4F-XoAAiybb.png||width="350px"]]
207
208 == Marital Instability Among Interracial Couples ==
209
210 White wife/Black husband marriages show twice the divorce rate of White wife/White husband couples by the 10th year of marriage.
211 The highest divorce rate of any combo, including Black-Black marriages.
212
213 [[image:GeEpG5MWUAAPMBw.png||width="250px"]] [[image:GeEpbHcXYAEvFz6.png||width="250px"]] [[image:GeEpcyAXAAADxAL.jpg||width="250px"]]
214
215 From a later study "Marital Dissolution...":
216 Black husband-White wife marriages are 185% more likely to end in divorce.
217 White Husband-Black wife, 158%
218 Hispanic Husband-White wife, 133%
219 White Husband-Hispanic wife, 111%
220 Both gender combinations with Asians had lower divorce rates
221
222 [[image:GeEp8eSWQAAPIhS.png||width="350px"]] [[image:GeEp9BBXIAIMpmK.png||width="350px"]]
223
224 = Cohabitation =
225
226 8% of White adults cohabit, 57% are married.
227 Whites are the least likely to cohabit interracially, at 12%.
228 Of cohabiting households in 2007-2011, 2.7% were Black-White.
229 In 2017-2021, this share increased to 2.8%.
230 A 0.1% increase in the last decade.
231
232 [[image:GeEqJ0sXgAAEK28.png||width="250px"]] [[image:GeEqKTGW0AAcgV4.png||width="250px"]] [[image:GeEqKu7XsAAhgue.png||width="250px"]] [[image:GeEqLMnWEAAuKb5.png||width="250px"]]
233
234 White men and women have the same cohabitation rates: 7.9% each.
235 Cohabitation rates have plateaued over the past decade.
236 Only 26% of non-Hispanic White women remain in their cohabitant union for at least 3 years before separation. 8% survive 5 years.
237
238 [[image:GeEqSZkXcAAP9GH.png||width="250px"]] [[image:GeEqS3YXgAAvhXt.png||width="250px"]] [[image:GeEqTUpWoAAnSJn.png||width="250px"]] [[image:GeEqTzZWEAAsfGK.png||width="250px"]]
239
240 = IR Birth Data =
241
242 From the latest CDC Natality Statistics:
243 For White mother births in 2023 (Excluding unknown):
244 87.6% of fathers are non-Hispanic White
245 5.6% are Hispanic-White
246 3.5% are Black (Hisp and non)
247 2.1% are 2 or more races (H&N)
248 1.2% are Asian (H&N)
249
250 [[image:GeEqgXTXwAAwJwc.png||width="350px"]]
251
252 For White father births in 2023 (Excluding unknown):
253 88% of mothers are non-Hispanic White
254 6.2% are Hispanic-White
255 2% are Asian (Hisp and non)
256 2% are 2 or more races (H&N)
257 1.25% are Black (H&N)
258
259 [[image:GeEqqsCWkAAApq-.png||width="350px"]]
260
261 Broken down by single moms and dads (Excl Unknown):
262 White single mothers, by race of dad:
263 Black: 62%
264 2 or more races: 46%
265 Hispanic-White: 43%
266 Asian: 27.3%
267 Non-Hispanic White: 23%
268 For White single fathers:
269 Black: 42%
270 Hispanic-White: 39%
271 Asian: 27%
272 Non-Hispanic White: 23%
273
274 [[image:GeEsXgBXUAAeyHw.png||width="350px"]] [[image:GeEsY1kWUAAeXau.png||width="350px"]]
275
276 == Birthrate Trends (2016-2023) ==
277
278 Like in all previous years, the overall number of IR births is down since 2016.
279 The increases in percentage (0.1% every 3 years for BM-WW births) isn't due to an increase in their number—rather White-White births have simply declined overall.
280
281 [[image:GeEsg7WW4AAN6iJ.jpg||width="350px"]] [[image:GeEshc2XQAAWUsg.png||width="350px"]]
282
283 Key points from the CDC data:
284 IR couples with non-Whites have higher rates of single parenthood in every case, especially with Black partners.
285 The birth rate between White women and Asian men is equivalent to White women and Black men, when controlling for population size.
286
287 [[image:GeEtBKrXsAA4blT.png||width="350px"]]
288
289 Note: the CDC data does not include "Unknown or unstated," thus there's a gap in the data.
290 I'll also be adding relevant racial preference data to this thread for easy reference moving forward.
291
292 == Positioning Multiraciality in Cyberspace (2015) ==
293
294 A 2015 study wanted to find out where multiracial individuals are positioned in the "racial hierarchies of the dating market."
295 For White women:
296 White > Asian-White > Hispanic-White > Black-White > Hispanic > Asian > Black
297
298 [[image:Gee_-pHXUAAjjMJ.png||width="250px"]] [[image:Gee__TCXYAEza7Q.png||width="250px"]] [[image:GefADjfWwAA5pnN.png||width="250px"]]
299
300 For Asian women: Asian-White > White > Asian
301 For Asian men: Asian-White > Asian > White
302 For Hispanic women: Hispanic-White > White > Hispanic
303 For Hispanic men: Hispanic > White > Hispanic-White
304 For Black women: White men > Black-White > Black
305 For Black men: Black-White > White > Black
306
307 [[image:GefBKNFXkAAHNcu.jpg||width="250px"]] [[image:GefBK9jXMAA_hOO.jpg||width="250px"]] [[image:GefBLoJWkAAelJW.png||width="250px"]]
308
309 ---
310
311 doubt.
312
313 === See Also ===
314
315 Boochi's Breakdowns