So we're just not gonna talk about that amazing half-loaded face of joy and anticipation on behalf of /r/monkslookingatbeer
Really, that's the best part of this whole post. Just a casual mention of a rather niche subreddit in the midst of a bunch of well-known ones.
I wouldn't even have noticed had it not been for you guys. That man is on ecstasy by default.
For me the niche one was /r/humanporn.
I like it!
Torn between drunkenness and excitement about getting drunker.
Those monks have truly found inner peace
There is more than that to it.
In the Middle-Ages, monasteries were the networked repositories of science, including hydraulics, inherited from the Romans often by way of the Arabs. Coupled with the fact that they were in constant need of new land to farm, and that those domains could expand over generations instead of being broken up upon inheritance, they proved very apt at sanitizing and colonizing wetlands, transforming marshes into forests and swamps into fields.
One deadly problem with this sort of locale is that the poor natural drainage does not allow for the formation of clean water tables. Ethanol beeing a natural disinfectant, the ability to produce it from ordinary grain was a decisive survival advantage that enabled the colonization of regions where grapevine doesn't grow and where human-rated water does not occur naturally. Seeing that this describes indeed most of the vast european plains, I would go as far as to posit that Europe is built on monacal beer.
Later on, alchemists would find ways to distill grain alcohol, giving a whole new meaning to the Christian dogma of holy spirit and fueling a drunken spree of worldwide conquests : how else do you carry potable water accross the Atlantic on a wooden medieval sailboat ? Be drunk or be dead, that was the motto of basic training for sailors.
We the happy few with a endless supply of clean water on tap tend to forget that, for centuries, the gene for alcoholism was passed on as beneficial.
because he's Ryan Gosling, General Lady Boner.
"General Lady Boner what are your orders?"
"No, hold off until Major Hardon gets here"
And /r/guysinglasses is Ryan Gosling in glasses, like he's trying to pull a Clark Kent.
WE KNOW IT'S YOU, RYAN! And we don't mind at all <3
/r/geekguys as well...
/r/vintageladyboners looks like a '1943' Ryan Gosling
Vintage lady boner guy is a good chunk hotter than contemporary lady boner guy, imo.
When there are no neckbeards for r/justneckbeardthings
I like that you can kind of see the hats in the justneckbeardthings image.
I was like "I knew it. He's the perfect man."
The actual Ryan Gosling appearing multiple times in the sub may skew things in his favor.
I feel like the inclusion of celebrity subs are kind of silly... though I do appreciate the prequel memes one.
I saw it more as a proof of legitimacy than anything else
Exactly. These are important inclusions as proof of concept and good baselines with which to compare against the other subreddits.
Though the Aubrey Plaza one bucked the trend in looking nothing like her.
I suppose I cant argue with that.. but when I seen Benedict Cucumberpatch in a Benedict Habberdash sub, my immediate reaction is to go: "well, duh"
r/prequelmemes is like a weird mix between the emperor and anakin
well from my point of view thats accurate.
Weird, to me it looks exactly like Obi-Wan.
I thought it was interesting that the celebrity averages resembled the person, but didn't look like a picture of them. Except for Olivia Wilde.
It was a surprise to be sure, but a welcome one.
Yeah, and why is the main question. Is that due to the algorithm selected?
Averaged faces are hot faces. And we'll have a tendency to upvote hot faces, which are already tending towards the average. Average those and you get an average of averages. It's not surprising they'll all look the same.
I lol'd when /r/vintageladyboners came up
Bitch that's not vintage it's a fucking instagram filter lmao
Data sources: Top posts from each of the labelled subreddits
Created using a custom NodeJS script with various libraries including bindings to opencv (for image processing) and dlib (for facial feature detection).
Rough steps of the entire process:
Most of the script was adapted from this article/tutorial
But can you do /r/pcmasterrace?
Here is the result.
It's just Gabe Newell.
What's /r/aisip supposed to be?
Sorry about that, it's a typo and like everyone suggested it is supposed to be r/IASIP
Always, It's Sunny In Philadelphia
r/IASIP I think.
I didn't expect /r/kpics to have such definitive facial features.
It's more the sample size isn't really representative. The top voted posts on r/kpics is more about popularity than looks. This means the same people are upvoted more often than less popular people and the results here are actually only from a handful of people.
Scrape through the top posts of a given subreddit until 50 candidate faces are collected
Filter out images with no/undetected faces
Does that mean that, after filtering, different subreddits have a different number of candidate faces? For instance, I wouldn't be surprised if the Olivia Wilde one was based on fewer faces, which is why it's less blurry or stretched than the others.
Nope, the script will scrape through as many posts as it needs to until it has collected 50 faces for each subreddit
That video is so cool. Thank you for sharing. Is your code available?
I really don't have the time to document it or provide support, but if you're interesting in just reading the extremely ugly code (this was just a weekend side project): https://gist.github.com/vincentriemer/70a49c8fb8d15719638aac83dc2c7c9e
It's all just "give me attention based on my looks", and which one you pick depends on how attractive you think you are.
Which is why Instagram exists, and why it's populated mainly by women. My eldest daughter (22) posts on there every few hours. You can tell she is a "tryhard" and for some reason thinks people want to see every little thing she does. I raised a monster.
That cause women posting in it get a lot of upvotes and they're usually looking for approval anyway
They know they're good looking and they still do it anyways.
You're looking at Top Posts only, it's not a fair cross section of the day-to-day of the sub (though it is a pretty good barometre of what gets upvotes).
In Rateme, prettiness is the only real factor at play. Whether or not the sub overall attracts a high percentage of already-pretty people is irrelevant to the face it generated because pretty faces attract upvotes regardless of topic across all of the Reddit.
Roastme is also filtering for funny posts, or people who look 'hard' to roast, or famous people/redditors who have already been selected for things that aren't their looks, so it's generally going to cover a far wider variety of faces.
Source: Introspecting Sub-Reddits Through Bullshit by Albert Darwin
It collected top posts, which in rateme would obviously be hot women.
Rateme is for insecure pretty people that love confirmation that they are pretty. Roastme is for insecure ugly people that are trying to accept themselves and need confirmation that they are ugly so they can move forward.
Wow the Olivia Wilde one is spot on.
Her jawline is rock solid. Some of the other ones had some variations (Anna Kendrick and Emma Watson look a bit off for whatever reason) but anyone could pick out Olivia Wilde in that group.
Aubrey Plaza one looks super weird or he face isn't as skinny as I think it is.
There is something unique going on with with Emma Watson, possibly because she has been famous since she was a child and our perceptions of her are muddied. It may also be that we are more aware of her facial expressions and mannerisms more so than her features. The deepfake community for example can't put their finger on it either, even Emma Watson doesn't really look like Emma Watson.
Emelia Clarke looks more like Jennifer Lawrence than herself in this thing
At first I thought it was because she has such striking features but maybe she just sticks to the same expression more than other celebs
Probably a bit of both. Like Emilia Clarke's most striking feature is her eyebrows but they go all over the place, so the average won't look quite as "Emilia Clarke" as a single pic
You wrote r/iasip wrong.
Also, r/prequelmemes is wrong because it's not just a picture of Ewan McGregor.
No prequelmemes is Ewan and the Senate mixed together.
while /r/sequelmemes is a mix of adam driver and daisy ridley
iasip's face looks like a blend of all the characters because they're all hilarious.
The infamous Chardee MacDennis
This is getting out of hand
It's funny how even though it has nothing to do with appearance /r/standupshots follows the "fat guys do comedy" trope
It's not a trope, it's a stereotype, and there are many stereotypes that are based firmly in reality.
Stereotypes exist for a reason
Ill try and put this delicately, /classywomenofcolor is an interesting one. It doesn't seem very.... errrr.... colorful.
I'm not going to say anything more than that, kinda a mine field I just walked into.
edit: Also /Kpics is interesting. Very little blurring around the chin so that kinda tells me there is very little variation in chin shape and position. Again, just making observations. Not trying to offend anyone here.
Reddit likes its people of colour as light as possible. Somehow I'm unsurprised.
I didn't realise 5,000 people was all of reddit.
This is unfair on Reddit. Black people and black nations like their black people as light as possible too. It's a standard of beauty, and people of all races seem to prefer it.
Doesn't make a good story for a child but it's the truth.
It's more than a Reddit thing. I remember seeing a documentary or interview years ago of a black model and one of the big points she made was that the scene is super hard for them because what agencies want is "a white girl dipped in chocolate."
I actually wonder where there's an issue with the script which filter out darker people of color.
Edit - after looking through the sub, I'm more confident that this is the case. None of the faces in the above data have a skin tone that's very dark. OP - can you run the script for a celeb that is a POC.
If not a script issue, it is an interesting commentary on either the demographics of reddit, and/or the comfort that POCs feel with posting pictures of themselves online.
Unless there is a bias in dlib's facial detection model, the script does not do any filtering based on pixel values.
One thing that I think isn't very obvious but is important in this averaging is lighting. When photographing a POC there tends to be a lot of contrast between the shadows to the highlights, and since we're averaging the pixel values, the overall result would be the middle value between the lightest and darkest values.
As an extra datapoint here's one of r/blackgirlpics
Dude, you know that there are Women's of color that aren't black? Think Hispanic/latino/indian counties
Am I going crazy or is no one in this thread realizing this?
Yeah, but it still says something that the averaging out of all the features of the pictures posted in that sub - a sub dedicated to classy women of color - show an image of someone that is light skinned with predominantly white features. It shows a general trend for what gets upvoted on that sub.
Links for the lazy:
The image in the post definitely says /r/aisip which confused me because it's a private community and is out of alphabetical order. I'm relieved to see it was just a typo.
You can see it's fedora line
I can't decide wether this smiley represents an angry owl or a mustachioed Ku Kux Klan Member
I definitely have to support the 'angry owl' just because I feel that is closer to the virtual vagina aspect of the conversation as well as the "naughty" implied nature of the devilish representation.
maybe the lips are just bigger with weird moustaches
There should be an average asshole for each one of those subs...
Yeah. Not a lot of beard in that picture.
And his beard turn grey
interesting how /r/classywomenofcolour is probably as white as you can get while still being called "of colour"
I noticed that too, and it's unfortunately what you would expect. "Classy" is sort of defined by traditional styles as opposed to streetwear, so in the same way that a "classy" men's sub would favor Frank Sinatra over Post Malone, it favors "whitely dressed" women over mainstream black celebrities. Hair follows the trend: the more Asian/caucasian a woman's hair, the closer to a traditional classy ideal, and that tends to follow with lighter skin.
I think the sub is pretty true to it's name, and I would never condemn people for what they find attractive, but it's a good observation that our cultural notion of "class" is racialized.
Unsurprising considering that dark skinned people are not typically portrayed as being beautiful, especially in the case of women. As someone that's dark myself, it's quite unfortunate.
I'd blame it mostly on reddit being majority white and most people are attracted/prefer their own race. But there is the unfortunate belief that darker skin is less beautiful across different cultures like Indian and Brazilian. Though the Black Panther movie had some really attractive dark skinned people so hopefully people realize the potential there.
If that isn’t the senate’s facial expression then just ban me from that sub.
It's Obi Wan's head mixed with the
emperors senats face. You can see the wrinkles on the cheeks.
I think the standout message here is that women want dudes to look like Ryan Gosling.
I just scrolled though the top 100 all-time classwomenofcolor and almost none of them are as light-skinned as the algorithm generated.
The algorithm is probably biased to pick up whiter faces and ignore dark faces due to how it was trained.
Reminds me of that Better Off Ted episode.
That just isn't true though...I'm not going through them all, but in the top 10 the majority have pretty light skin, certainly comparable to the generated image.
Reading this at first I thought you meant the users of the subs - took me until the Benedict Cumberbatch sub to realise that not all his fans would bear such a striking resemblance to him lol
Great results! I'd love to see this applied to /r/MakeupAddiction, I kind of assumed it would be on there due to the focus on the face. It would be fun to see top MUA results for different "faces", ie: 'natural', 'romantic', 'pin-up'!
The celebrity faces look pretty normal, with the exception of Benedict Cumberbatch, who really looks like a part lizard hybrid.
So it looks like Benedict Cumberbatch?
Oh that? That's just his face.
I actually can't tell what race or gender the humanporn average looks like most to me, it could pass for anything: black, white, male, female. Kinda just depends what wig and clothes you put on it.
We should make it the mascot of something. Like a community college
r/beards is spot on.
"I've had this beard for a week. Trying to decide whether I should keep it or shave it off??"
Surprised nobody has commented on the basically perfect feminine face on r/faces
Definitely stands out to me.