Scientific Blackpill: Difference between revisions

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In 2009, the dating site OkCupid published a blog article titled "Your Looks and Your Inbox" which analyzed the messaging patterns of their userbase broken down by sex and looks. They found that while men rated women on roughly a bell curve distribution centered around medium (5/10), women rated 80% of men as below medium. This data was further analyzed for the book Dataclysm (2014) by OkCupid founder Christian Rudder, providing a more detailed graphing of the original data, demonstrated below, converted to a 0 to 10 rating scale. Christian Rudder expounded on his findings in an interview in 2014, available [https://www.youtube.com/watch?v=_islsqquXAo&feature=youtu.be&t=2161 here].
In 2009, the dating site OkCupid published a blog article titled "Your Looks and Your Inbox" which analyzed the messaging patterns of their userbase broken down by sex and looks. They found that while men rated women on roughly a bell curve distribution centered around medium (5/10), women rated 80% of men as below medium. This data was further analyzed for the book Dataclysm (2014) by OkCupid founder Christian Rudder, providing a more detailed graphing of the original data, demonstrated below, converted to a 0 to 10 rating scale. Christian Rudder expounded on his findings in an interview in 2014, available [https://www.youtube.com/watch?v=_islsqquXAo&feature=youtu.be&t=2161 here].


Many in the [[manosphere]] mistook the blog article as solid evidence of [[hypergamy]] and the [[80/20 rule]]. However, it is not as straight forward: The blog article further mentions that "two-thirds of male messages go to the best-looking third of women. So basically, guys are fighting each other 2-for-1 for the absolute best-rated females, while plenty of potentially charming, even cute, girls go unwritten." Further, "women shift their expectations only just slightly ahead […], which is a healthier pattern than guys’". However, they did not quantify these differences. Another study based on an unspecified online dating website by Bruch & Newman (2018) also found that in terms of messaging patterns both men and women aim up, but they didn't find men aiming substantially higher (26% vs 23% higher respectively). They also found that only few aim excessively high which is in agreement with observations made K. Grammer: "If she is too attractive he might consider his chances low and accordingly refrain from courting in order to save face." (see Eibl-Eibesfeldt 2017, ch. 4.5, p. 239).
Many in the [[manosphere]] mistook the blog article as solid evidence of [[hypergamy]] and the [[80/20 rule]]. It is not as straight forward: The blog article further mentions that "two-thirds of male messages go to the best-looking third of women. So basically, guys are fighting each other 2-for-1 for the absolute best-rated females, while plenty of potentially charming, even cute, girls go unwritten." Further, "women shift their expectations only just slightly ahead […], which is a healthier pattern than guys’". However, they did not quantify these differences. Another study based on an unspecified online dating website by Bruch & Newman (2018) also found that in terms of messaging patterns both men and women aim 25% higher than their own [[SMV]]. They also found that only few aim excessively high which is in agreement with observations made K. Grammer: "If she is too attractive he might consider his chances low and accordingly refrain from courting in order to save face." (see Eibl-Eibesfeldt 2017, ch. 4.5, p. 239).


Sex differences in attractiveness ratings of similar magnitude (around d = 1.0) have been also found in other contexts but online dating, e.g. students rating photos of celebrities (Marshall & Wasserman, 1997), students rating one another in person (Birnbaum, 2014; Benedixen, 2019) and students rating photos from an online dating website (Wood, 2009). The effect may be partly explained by women putting more effort in their appearance, but women are also evaluated more favorably regarding all sorts of traits besides physical appearance by both men and women, an effect known as the ''"[[women-are-wonderful effect]]"'' (Eagly, 1991). Furthermore, Rudder conducted an experiment in which he let male users rate one another and the distribution of ratings did not show the skew towards the bottom end one can observe in ratings by women (see the interview linked above). This suggests men who use online dating are not objectively worse looking. Women's tendency to rate men as less attractive may stem from women's greater [[Bateman's principle|parental investment]], which caused them to be more risk-averse and look more for flaws in a potential partner.
Sex differences in attractiveness ratings of similar magnitude (around d = 1.0) have been also found in other contexts but online dating, e.g. students rating photos of celebrities (Marshall & Wasserman, 1997), students rating one another in person (Birnbaum, 2014; Benedixen, 2019) and students rating photos from an online dating website (Wood, 2009). The effect may be partly explained by women putting more effort in their appearance, but women are also evaluated more favorably regarding all sorts of traits besides physical appearance by both men and women, an effect known as the ''"[[women-are-wonderful effect]]"'' (Eagly, 1991). Furthermore, Rudder conducted an experiment in which he let male users rate one another and the distribution of ratings did not show the skew towards the bottom end one can observe in ratings by women (see the interview linked above). This suggests men who use online dating are not objectively worse looking. Women's tendency to rate men as less attractive may stem from women's greater [[Bateman's principle|parental investment]], which caused them to be more risk-averse and look more for flaws in a potential partner.
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