The Myth of Alpha Widow

Chadeep

Chadeep

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@Xangsane @greycel
 
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Why is it that women write tales about their Casual Encounters more than men do.
They love it, they love to remember about the times they got fucked by a Chad for them it's the ultimate dopamine boost. More dopamine boost than meth in fact. bonus dopamine if she has a boyfriend, they love cucking bfs
 
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They love it, they love to remember about the times they got fucked by a Chad for them it's the ultimate dopamine boost. More dopamine boost than meth in fact. bonus dopamine if she has a boyfriend, they love cucking bfs
They’d happily wait to be Chad’s 27th option than be with us lol.
 
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They love it, they love to remember about the times they got fucked by a Chad for them it's the ultimate dopamine boost. More dopamine boost than meth in fact. bonus dopamine if she has a boyfriend, they love cucking bfs
But it's hard for men to move on because of lack of options and support.
 
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Deboonked by Researchers.
The sample size is 286 but what is the age range? Age range is relevant since women basically monkey branch upwards or stay single and fuck a chad fwb untill they hit 30 and get desperate to settle. Considering they gathered people from social media platforms its prob skewed to younger demographic so doesnt debunk alpha widow at all. Survey a bunch of 30-35 year old women and u will get totally diff answers.
 
Why is it that women write tales about their Casual Encounters more than men do.

they have way more of those than the average man to begin with
 
The sample size is 286 but what is the age range? Age range is relevant since women basically monkey branch upwards or stay single and fuck a chad fwb untill they hit 30 and get desperate to settle. Considering they gathered people from social media platforms its prob skewed to younger demographic so doesnt debunk alpha widow at all. Survey a bunch of 30-35 year old women and u will get totally diff answers.
Our sample was 286 participants (31.1% female) with a mean age of 35.72 (SD 11.07). 91.3% of the sample was heterosexual, 8.4% was bisexual, and .03% was gay or lesbian. 79.4% identified as White/Caucasian, 7.3% as Other race/ethnicity, 4.9% as Hispanic, 4.5% as Black or African American, and 3.5% as Asian or Pacific Islander.
 

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