I put forward a hypothesis that most women fraud at least a PSL point on OLD. Sis and her tall HTN friend meet up with 24 women. [RESULTS: CRAZY]

Xangsane

Xangsane

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Here's the original update thread:

Here's the original thread where I announced the experiment:

(to get all this juicy info off them I had to beg and beg and ask questions like crazy)


Intro:
  • I'm in a group chat on WhatsApp with my sister (blonde white-passing mixed MENA MTB female), her friend (white HTN male) and my fiancee (mulatta HTB female).
  • I asked my sister (since she's currently at Uni on campus) to conduct a dating app experiment.
  • The dating app experiment hypothesis was "most women fraud at least one PSL point on dating apps".
  • I asked her to use Hinge as "most women go on Hinge in a desperate attempt to find a boyfriend".
  • She agreed, and we needed to find a Chad. We didn't want to use male models or TikTokers as women might recognise them, nor did I want to use my face as I'm taken and will be a married man in a couple of months, so she decided to get a friend of hers to be the Chadfish.
  • Her friend is a tall white HTN, dirty blonde/light brown hair, green eyes, and a prettyboy, originally from the US and is a Christian KHHV. He has no interest in dating, though he and my sister are "good friends" who met in September.
  • He says he does get some interest in girls here and there but is a KHHV and "intends to keep that way for now".
Experiment:
  • Since he's HTN, he downloaded FaceApp and purchased Pro, so we morphed him into a PSL Chad. He also used the apps Hypic and Soda to fraud his ratios into a PSL 6.5 Chad (I told them about these).
  • Since he's slim with an okay amount of muscle, I asked to run his face through Remini to be more lean and muscular like a fitness model. The results look realistic after post-image processing.
  • Since he's quite NT, we had a mix of good images we took (the main image was a model-like face shoot) and AI-generated images.
  • I sent the men's rating guide from r/truerateme on the group chat to rate each of the girls' faces OBJECTIVELY from their dating app profiles.
  • I instructed my sister (since she's good with makeup) to apply makeup on her HTN friend's face (including contouring) so he could appear more like a Chad IRL, and to frame fraud with shoulder pads. He was okay with that.
  • My sister and her HTN friend met up with 24 women during the course of 1.5 weeks.
  • When my sister and her HTN friend met up with the girls I asked them to hang out with the girls for just 15 minutes for a "quick coffee" and record their actual face rating.

The results:
  • 50+ likes on Hinge after day 1 from a variety of looks levels of girls. All girls were aged 18-25.
  • They met up with 24 girls.
  • The girls were a mix of ethnicities.
  • I asked them to send the girls' images so we could rate them, and their observations IRL. However, they instructed me to not post their images online to protect their identity.
  • Of the 24 girls:
    • 13 were white
    • 5 were South Asian
    • 4 were black (of the 4, 1 was mulatta)
    • 1 was northeast Asian
    • 1 was southeast Asian
  • My sis and her friend said that "most women, probably 90% of them, fraud their images to some extent". I asked them to provide details on their scores, and asked my fiancee to rate them. My sister is a very generous rater, my fiancee, me and my sister's friend harsher.
  • They all rated on the TRM scale, so I converted the average rating into a PSL rating by dividing by 1.25.
  • I also asked them to provide details on what they frauded and their interest in him.
  • They provided me with a selfie they took of the girls on the meet-up together as an unfrauded image and compared that image to the ones they used on OLD.
  • The most common type of fraud was the use of filters, makeup, angle frauding and body weight frauding. About 45% of the girls used FaceApp, mostly the white girls. Wrinkle frauding was common among white girls. A few of the ethnic girls, especially South Asian and black girls, used contact lenses or edited their eye colours. Black girls frauded their hair texture. The Northeast and Southeast Asian girls frauded ratios digitally and their undertones to appear to have a cooler undertone in their images. Almost all the ethnic girls took their images in bright lighting.
  • I asked my sister and her HTN friend to reject any subsequent dates, if the girls asked.
GirlEthnicityPSL in Hinge photosPSL in unfrauded selfie
1White54.25
2White4.754
3White5.254.5
4White5.54.5
5White54.25
6White54
7White4.84
8White4.53.75
9White54.8
10White5.55
11White5.754.5
12White5.254.25
13White4.83.8
14South Asian4.54
15South Asian4.754.25
16South Asian4.754.3
17South Asian4.54
18South Asian4.253.75
19Black4.253.75
20Black43
21Black4.33.75
22Black (mulatta)54.75
23Northeast Asian5.754.8
24Southeast Asian4.754

My sister and her HTN friend said about 60% of the girls were interested in another date (keep in mind he was wearing makeup), with the black, South Asian and lower tier white girls the most keen. The northeast Asian girl and the more attractive white girls were the most nonchalant/uninterested.

My fiancee called the women "desperate for the attention of attractive men", especially "the ones showing their boobs and stomach".

1699803693509
for all male OLD users wanting to date pretty girls in 2024
 
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@marauder
 
Here's the original update thread:

Here's the original thread where I announced the experiment:

(to get all this juicy info off them I had to beg and beg and ask questions like crazy)


Intro:
  • I'm in a group chat on WhatsApp with my sister (blonde white-passing mixed MENA MTB female), her friend (white HTN male) and my fiancee (mulatta HTB female).
  • I asked my sister (since she's currently at Uni on campus) to conduct a dating app experiment.
  • The dating app experiment hypothesis was "most women fraud at least one PSL point on dating apps".
  • I asked her to use Hinge as "most women go on Hinge in a desperate attempt to find a boyfriend".
  • She agreed, and we needed to find a Chad. We didn't want to use male models or TikTokers as women might recognise them, nor did I want to use my face as I'm taken and will be a married man in a couple of months, so she decided to get a friend of hers to be the Chadfish.
  • Her friend is a tall white HTN, dirty blonde/light brown hair, green eyes, and a prettyboy, originally from the US and is a Christian KHHV. He has no interest in dating, though he and my sister are "good friends" who met in September.
Experiment:
  • Since he's HTN, he downloaded FaceApp and purchased Pro, so we morphed him into a PSL Chad. He also used the apps Hypic and Soda to fraud his ratios into a PSL 6.5 Chad (I told them about these).
  • Since he's slim with an okay amount of muscle, I asked to run his face through Remini to be more lean and muscular like a fitness model. The results look realistic after post-image processing.
  • Since he's quite NT, we had a mix of good images we took (the main image was a model-like face shoot) and AI-generated images.
  • I sent the men's rating guide from r/truerateme on the group chat to rate each of the girls' faces OBJECTIVELY from their dating app profiles.
  • I instructed my sister (since she's good with makeup) to apply makeup on her HTN friend's face (including contouring) so he could appear more like a Chad IRL, and to frame fraud with shoulder pads. He was okay with that.
  • My sister and her HTN friend met up with 24 women during the course of 1.5 weeks.
  • When my sister and her HTN friend met up with the girls I asked them to hang out with the girls for just 15 minutes for a "quick coffee" and record their actual face rating.

The results:
  • 50+ likes on Hinge after day 1 from a variety of looks levels of girls. All girls were aged 18-25.
  • They met up with 24 girls.
  • The girls were a mix of ethnicities.
  • I asked them to send the girls' images so we could rate them, and their observations IRL. However, they instructed me to not post their images online to protect their identity.
  • Of the 24 girls:
    • 13 were white
    • 5 were South Asian
    • 4 were black (of the 4, 1 was mulatta)
    • 1 was northeast Asian
    • 1 was southeast Asian
  • My sis and her friend said that "most women, probably 90% of them, fraud their images to some extent". I asked them to provide details on their scores, and asked my fiancee to rate them. My sister is a very generous rater, my fiancee, me and my sister's friend harsher.
  • They all rated on the TRM scale, so I converted the average rating into a PSL rating by dividing by 1.25.
  • I also asked them to provide details on what they frauded and their interest in him.
  • They provided me with a selfie they took of the girls on the meet-up together as an unfrauded image and compared that image to the ones they used on OLD.
  • The most common type of fraud was the use of filters, makeup, angle frauding and body weight frauding. About 45% of the girls used FaceApp, mostly the white girls. A few of the ethnic girls, especially South Asian and black girls, used contact lenses or edited their eye colours. Black girls frauded their hair texture. The Northeast and Southeast Asian girls frauded ratios digitally and their undertones to appear to have a cooler undertone in their images. Almost all the ethnic girls took their images in bright lighting.
  • I asked my sister and her HTN friend to reject any subsequent dates, if the girls asked.
GirlEthnicityPSL in Hinge photosPSL in unfrauded selfie
1White54.25
2White4.754
3White5.254.5
4White5.54.5
5White54.25
6White54
7White4.84
8White4.53.75
9White54.8
10White5.55
11White5.754.5
12White5.254.25
13White4.83.8
14South Asian4.54
15South Asian4.754.25
16South Asian4.754.3
17South Asian4.54
18South Asian4.253.75
19Black4.253.75
20Black43
21Black4.33.75
22Black (mulatta)54.75
23Northeast Asian5.754.8
24Southeast Asian4.754

My sister and her HTN friend said about 60% of the girls were interested in another date, with the black, South Asian and lower tier white girls the most keen. The northeast Asian girl and the most attractive white girls were the most nonchalant/uninterested.

My fiancee called the women "desperate for the attention of attractive men", especially "the ones showing their boobs and stomach".
3751369_its_so_jova.png

Why?
@Ai Impact @aesthetic beauty @BigJimsWornOutTires @flippasav @darktvamp @Alt Number 3 @yandex99 @Sped @mbolo @Mio @Perfection @Zonar @Average Aryan @Dodld @Aloha @Meraki @wsada @WINGLESS ANGEL @datboijj @Jase @AspiringMogger @MoggerGaston @cashmerefraud @DildoFaggins @penispilled @ConfusedBolivian @DR. NICKGA @Ricky212 @St.TikTokcel @NationalWarrior @try2beme
0
 
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least autistic looksmax user
 
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Here's the original update thread:

Here's the original thread where I announced the experiment:

(to get all this juicy info off them I had to beg and beg and ask questions like crazy)


Intro:
  • I'm in a group chat on WhatsApp with my sister (blonde white-passing mixed MENA MTB female), her friend (white HTN male) and my fiancee (mulatta HTB female).
  • I asked my sister (since she's currently at Uni on campus) to conduct a dating app experiment.
  • The dating app experiment hypothesis was "most women fraud at least one PSL point on dating apps".
  • I asked her to use Hinge as "most women go on Hinge in a desperate attempt to find a boyfriend".
  • She agreed, and we needed to find a Chad. We didn't want to use male models or TikTokers as women might recognise them, nor did I want to use my face as I'm taken and will be a married man in a couple of months, so she decided to get a friend of hers to be the Chadfish.
  • Her friend is a tall white HTN, dirty blonde/light brown hair, green eyes, and a prettyboy, originally from the US and is a Christian KHHV. He has no interest in dating, though he and my sister are "good friends" who met in September.
Experiment:
  • Since he's HTN, he downloaded FaceApp and purchased Pro, so we morphed him into a PSL Chad. He also used the apps Hypic and Soda to fraud his ratios into a PSL 6.5 Chad (I told them about these).
  • Since he's slim with an okay amount of muscle, I asked to run his face through Remini to be more lean and muscular like a fitness model. The results look realistic after post-image processing.
  • Since he's quite NT, we had a mix of good images we took (the main image was a model-like face shoot) and AI-generated images.
  • I sent the men's rating guide from r/truerateme on the group chat to rate each of the girls' faces OBJECTIVELY from their dating app profiles.
  • I instructed my sister (since she's good with makeup) to apply makeup on her HTN friend's face (including contouring) so he could appear more like a Chad IRL, and to frame fraud with shoulder pads. He was okay with that.
  • My sister and her HTN friend met up with 24 women during the course of 1.5 weeks.
  • When my sister and her HTN friend met up with the girls I asked them to hang out with the girls for just 15 minutes for a "quick coffee" and record their actual face rating.

The results:
  • 50+ likes on Hinge after day 1 from a variety of looks levels of girls. All girls were aged 18-25.
  • They met up with 24 girls.
  • The girls were a mix of ethnicities.
  • I asked them to send the girls' images so we could rate them, and their observations IRL. However, they instructed me to not post their images online to protect their identity.
  • Of the 24 girls:
    • 13 were white
    • 5 were South Asian
    • 4 were black (of the 4, 1 was mulatta)
    • 1 was northeast Asian
    • 1 was southeast Asian
  • My sis and her friend said that "most women, probably 90% of them, fraud their images to some extent". I asked them to provide details on their scores, and asked my fiancee to rate them. My sister is a very generous rater, my fiancee, me and my sister's friend harsher.
  • They all rated on the TRM scale, so I converted the average rating into a PSL rating by dividing by 1.25.
  • I also asked them to provide details on what they frauded and their interest in him.
  • They provided me with a selfie they took of the girls on the meet-up together as an unfrauded image and compared that image to the ones they used on OLD.
  • The most common type of fraud was the use of filters, makeup, angle frauding and body weight frauding. About 45% of the girls used FaceApp, mostly the white girls. A few of the ethnic girls, especially South Asian and black girls, used contact lenses or edited their eye colours. Black girls frauded their hair texture. The Northeast and Southeast Asian girls frauded ratios digitally and their undertones to appear to have a cooler undertone in their images. Almost all the ethnic girls took their images in bright lighting.
  • I asked my sister and her HTN friend to reject any subsequent dates, if the girls asked.
GirlEthnicityPSL in Hinge photosPSL in unfrauded selfie
1White54.25
2White4.754
3White5.254.5
4White5.54.5
5White54.25
6White54
7White4.84
8White4.53.75
9White54.8
10White5.55
11White5.754.5
12White5.254.25
13White4.83.8
14South Asian4.54
15South Asian4.754.25
16South Asian4.754.3
17South Asian4.54
18South Asian4.253.75
19Black4.253.75
20Black43
21Black4.33.75
22Black (mulatta)54.75
23Northeast Asian5.754.8
24Southeast Asian4.754

My sister and her HTN friend said about 60% of the girls were interested in another date, with the black, South Asian and lower tier white girls the most keen. The northeast Asian girl and the most attractive white girls were the most nonchalant/uninterested.

My fiancee called the women "desperate for the attention of attractive men", especially "the ones showing their boobs and stomach".
psl is your special interest
 
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I dont doubt it one bit. I look like a completely different humanbeing in my photos by frauding angles and using lens distortion to my advantage
 
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(to get all this juicy info off them I had to beg and beg and ask questions like crazy)
so weird and pointless

what do u gain from this
 
@yandex99
 
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I dont doubt it one bit. I look like a completely different humanbeing in my photos by frauding angles and using lens distortion to my advantage
well according to my sister and her HTN friend who did the field experiment they said the level of frauding they did is "substantial" - and my sister likes to use beauty filters a lot because she told me "it brings makeup out even more". She says she uses digital makeup to increase the saturation of makeup.
 
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@WINGLESS ANGEL
 
meanwhile i descend because of ugly android camera. from 5/10 to 4/10 from incel to incel
 
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meanwhile i descend because of ugly android camera. from 5/10 to 4/10 from incel to incel
you can try frauding a bit with remini (not the AI tool but the sharpener) and a little bit of realistic filtering so it looks like an iPhone photo.
 
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I dont doubt it one bit. I look like a completely different humanbeing in my photos by frauding angles and using lens distortion to my advantage
thoughts on the individual results?
 
sounds extremely autistic and bullshit (who would seriously go along with this experiment?) but i believe it
 
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sounds extremely autistic and bullshit (who would seriously go along with this experiment?)
I had to beg and ask questions and rephrase all the time, I will admit it was hard to extract info without coming off weird JFL, but it all flowed nicely at the end
but i believe it
Thanks, what do you think of the individual results?
 
Negrosaur I told you to tag me...
 
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Ethnic girls in UK are all so whitewashed

View attachment 2547497

they always dye their hair brown or blonde, forget about their chinese name and make up a fake cringe english one like "Ivy", bleach their skin usually or at least avoid sunmaxx and edit photos to be whiter, and often fraud features to look white

@Ai Impact
 
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why tag it here
  • The most common type of fraud was the use of filters, makeup, angle frauding and body weight frauding. About 45% of the girls used FaceApp, mostly the white girls. Wrinkle frauding was common among white girls. A few of the ethnic girls, especially South Asian and black girls, used contact lenses or edited their eye colours. Black girls frauded their hair texture. The Northeast and Southeast Asian girls frauded ratios digitally and their undertones to appear to have a cooler undertone in their images. Almost all the ethnic girls took their images in bright lighting.
 
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  • The most common type of fraud was the use of filters, makeup, angle frauding and body weight frauding. About 45% of the girls used FaceApp, mostly the white girls. Wrinkle frauding was common among white girls. A few of the ethnic girls, especially South Asian and black girls, used contact lenses or edited their eye colours. Black girls frauded their hair texture. The Northeast and Southeast Asian girls frauded ratios digitally and their undertones to appear to have a cooler undertone in their images. Almost all the ethnic girls took their images in bright lighting.
oh yea ethnic girls are always so insecure about their skin colour lolllllllll
 
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oh yea ethnic girls are always so insecure about their skin colour lolllllllll
my sis and her HTN friend reported back that most of the ethnic women frauded their skin colour lighter, and a few of the white women frauded darker.
 
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@IAMNOTANINCEL
 
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I mean the individual results show that most fraud crazily
Yup.
Women are very blackpilled overall, and have gatekept a ton of shit.
I guess that if they manage to get a date with a gl dude then he won't just walk out because they look different in the pics, so they'll try to get laid with him on the same day.
(btw is the morph done?)
 
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Yup.
Women are very blackpilled overall, and have gatekept a ton of shit.
do you think they do this to try and match and get with high SMV men?
I guess that if they manage to get a date with a gl dude then he won't just walk out because they look different in the pics, so they'll try to get laid with him on the same day.
my sister's HTN friend noted that about 60% of the girls were interested in another date (keep in mind he was wearing makeup), with the black, South Asian and lower tier white girls the most keen. The northeast Asian girl and the more attractive white girls were the most nonchalant/uninterested.

@Ai Impact @Hottaco34
 
my sis and her HTN friend reported back that most of the ethnic women frauded their skin colour lighter, and a few of the white women frauded darker.
i fraud mine as white as possible to attract deathnics, but white girls still seems to like it recently
 
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@EdouardManlet
 
i fraud mine as white as possible to attract deathnics, but white girls still seems to like it recently
what type of white girls?
 
what type of white girls?
oh also black girls fucking love me recently, theyre the highest interest race

just normal white girlz
 
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@flippasav
 
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