Okay, chat guys I'm thinking chat. This actually might make you aware. Careful. Two friends install a dating app and try their luck.

Theand tries to set up the perfect profile. A nice front picture, a group picture to make it seem like he has friends a picture in Paris to make it seem like it's cultured, and a picture climbing mountains to make it seem like Adventures After some hard work, the profile is ready. The woman doesn't feel safe sharing a lot of personal information so she chooses the first picture she can find and she's ready to go. They start swiping and hope for the best.

At the end of the day, when the woman checks her phone, her light counter is full. Practically every profile she likes is an instant match. Soon she's overwhelmed by the amount of matches and messages in her inbox. For the man, it's a different story.

So far he has only received a couple of likes and has zero matches he becomes frustrated with bit int littleit he put so much effort into setting up a nice profile. after all, why can't he get any matches? He's like least yeah. To answer that question, we need to understand the numbers behind dating apps. I Made a simulation of a dating app with 1,000 dummies to try to understand why man gets so few matches.

Dating apps can yo? Because they got to compete. Guys Guys Guys: I Feel like this is just like Jack Can't you just break it? Break this down just evolutionary. Like just like normal. Like like animal type.

dude. it's like you got to compete. bro. Why do you think some birds look really nice and do all these tricks and had all these the these feathers that are all these colors when they're the men and when when they're the women? It's just it's just a just a brown bird cuz the men has to appeal the best and do all these tricks and impress because they have to compete to win.

Dating apps can paint a distorted picture of what the real dating world is like. Some studies indicate that dating apps can have a negative impact on self-esteem with a stronger effect on men and women often have to find strategies to deal. Oh my God Oh my God Oh my God Oh my God This this is L Take brother, brother brother. you're you're a lioness in the jungle.

In in evolutionary times. Okay, you see two lions in front of you. Okay and you want to mate to make a strong off spring for him to survive. You see some some lion out there.

He brutalizes the other lion. the one gets absolutely bitched and he barely survives. What? What do you think? What do you think? What do you think that the female will choose? Well, she'll choose the F the the winner lion because he's more likely to provide survive for the family. That is just how it that that is just most simple 101 Like like what the is that even take? It's just it's just how it is with intrusive behavior.

From Men in these apps, it's hard to understand exactly what's going on inside these apps because there's very little data available. However, we can make educated guesses based on the little information we have. I'll start with an ideal unrealistic scenario and we'll see how quickly things change when I start adding real life variables. A side note: we're talking about dating with opposite genders.

same gender dating and dating apps has very different Dynamics and it's out of scope for this video. Yeah, you actually you know what D I will say what guys I I talk to Austin show all the time Okay he has one quote and he always says on on his Ving apps for uh uh when he's looking was looking for G guys whatever right he says okay I don't know if you allow me to saybe he say he say this before on stream guys he said it's it's easier and faster to to get head from somebody then it is um to get UB breits okay not my word he said himself. it's faster to get head on that app than it's to get ubber He said it not me I Didn't say that Since you're trying to make an ideal scenario, let's assume we have the same amount of men and women using the app. Let's also assume that everyone sees 100 profiles per day and that every profile is treated equally by the algorithm.

I'm going to assume that users like one out of four profiles they see okay, which means every user has a probability of 25% of being liked every time their profile is shown. Okay, some of these parameters aren't realistic, but that's okay. We're going to start like this and make it more realistic. like one out of 30.

But so how many likes and matches what get at the end of the day? Let's run the simulation. Okay, not too bad. On average, both women and men get 25 likes in six matches per day. So why does this look different from real dating apps? Let's start with reason number one: there are more male than female users I Was able to find user gender data for tender and Bumble two of the most popular dating apps in the world.

In both apps, there were significantly more men using the app than women in our simulation. I'm going to keep it simple and assume we have two men for every woman, a ratio somewhere between Tinder and Bumbles I Ran the simulation again and the differences were big. I'm going to give you a chance to pause the video in case you want to try to guess how many likes and matches users get. Um, wait, it was six earlier, right? Um.

2.1 We now start to see the first signs of a gender imbalancing results because there are two men for every woman, the number of likes received by the women doubled, and the number of likes received by the men. Haled And when we look at the number of matches, something interesting happen that's not too bad. I Mean women received an average of 50 likes. Since they like one out of four profiles, you would expect them to get an average of 12 or 13 matches.

However, they only get six. That's because now they are so many male users that women don't even get a chance to see half of the users that like them. They only see 100 profiles per day and there are just too many men in the queue. At this point, it makes sense that women start to feel a bit overwhelmed by the amount of likes they receive because they often encounter intrusive behavior from men that also makes them think carefully about who they give likes to.

Men, on the other hand, are starting to get a bit desperate because they don't get a lot of likes. They know they can't be too picky and start giving likes more generously to improve their Chan of getting match. Which leads us to reason: Number two: men give more likes than women. According to this New York Times article from 2014, men are nearly three times as likely to like a profile than women on Tinder So let's use those numbers.

I'm updating the simulations that women and men give likes in 14 and 46% of cases resp. Oh my God Oh my. God So how do you think this is going to change the results? Okay, the men are going to get like two likes in 0.4 matches. Now, the gender imbalance increases even further.

Women get an average of 92 likes, whereas men only get seven. And because men like 46% of the users they see, these seven likes result on an average of 3.2 matches. Women get twice as many an average of 6.4 matches per day. But things can get even more complicated for the average male user.

ATT Acess is subjective, but the reality is that some profiles will be considered attractive by more users than others. Which brings us to reason: Number Three: A small share of the users get a big share of the likes. In a Q&A post from 2017 on Hing's official website, one of the engineers behind the dating app shared some data about this imbalance. He mentioned that certain people get exponentially more attention than others.

He reported that about half the likes from men were given to about 25% of women, and half the likes from women were given to only 15% of men. This means that especially with men, there's a small segment of users that get a large slice of the total likes. Let's try to include that in our simulation. I'm giving every user score0 to 100% That determines how attractive they are perceived by other users.

chat. But guys, if you're not following the video, okay, what he's doing now is that he's matching the bell curve data. Um, in the simulation with his current data set right? and's now he's going to make the combination of you know what we saw earlier about about the bell curve right? About attractiveness. Most likes go to very attractive girls, right? and high density.

So he's he's is putting the bell curve into it. Pretty much until now, attractiveness has had no impact on the probability of getting likes. That means that every time a profile was shown, the probability of that profile being liked was 46 and 14% for women and men, respectively, regardless of their perceived attractiveness. I'm now looking for a new distribution such that the top users get exponentially more likes, but while making sure the average like percentages stay stay the same.

I Went for the simplest formulas I could come up with and you can find my assumptions on the screen in case you're interested. Basically I assume that users with an attractiveness score of Zero have 0% chance of getting likes and users with an attractiveness score of 100 have 100% chance of receiving a like. This is admittedly an oversimplification, but since I couldn't find any real data, I'm trying to keep it as simple as I can. oh well, CH should you the Vel curve, then no.

If for for data set I thought he was going to do that. These curves: 50% of the likes given by men go to the top 27% of women, and 50% of the likes given by women go to the top 10% of men, which is quite close to the numbers reported by Hench So this should be reasonably accurate. Let's run our final simulation. You can try to guess the results.

differential. Well, I mean I mean I mean man. bro. this was a bit of a trick question.

The numbers stay the same. Yeah, you're right. The difference is now the distribution is skewed by the top users. Get this: Gu pretending like he's like a math teacher Man you.

That means that the averages no longer describe the experience of the average user. So let's add a new metric. the median. In other words, How many likes and matches does the average user get? And now we can see the average male user only receives one like and zero matches.

If you look at the average number of likes for different attractiveness scores, we see that the top 10% of male users get 37 likes on average, whereas the average users get some between zero and one like. And if you look at the average number of matches, something interesting happens. The top 10% of men actually get more matches than the top 10% of women. They get fewer likes, but because they're less because everybody is a ugly as bricks.

That's why. Dude. Because everybody is ugly. dude that's why says me I don't need this I have money.

Holy dude, it's all I have Jesus Christ actually manag to get more matches I wonder if this also happens Jesus As I tried to make my simulation more realistic, the number of likes received by the average man went down from 25 to 12 to 7 to 1. Once again, this was just my attempt to simulate a dating app based on the little information that I could find. It may or may not describe your experience with dating apps. For example: I couldn't find data for the number of profiles users see every day so I just assumed it was 100 and I didn't include factors like different cultures and demographics and the impact of Prum subscriptions that give advant imagine if the if if these sites dating apps release those stats I've said it before.

chat I CH Remember I told you guys last time I said it. A lot of these stats are socially damaging right? I said that and I've read this about a long time a long time ago. If they released all their stats, the people would actually revolt and it would go wild. The people would go Bonkers because it's literally it's socially damaging.

Damaging to to the fabric to the fabric of society. it actually is it people do not want to know the truth Advantages to paying users. Nonetheless, the simulation helped me understand what's probably happening inside these dating apps. So what are the key takeaways here? This video is by no means making an argument against the use of dating apps.

Meeting online has become the most popular way us couples connected. so dating apps do work and many relationships were made possible thanks to them. My personal take away of this video is that due to the reasons that I mentioned dating amps can give us a distorted perspective of the actual dating world and I think we should be aware of the impact this can to have on the experience and self-esteem of the users because in the end I think this imbalance can be harmful for both men and women. Men will struggle to get matches, which only gives them an incentive to like as many.

Also, don't be desperate. don't be desperate dude. Okay, that's important. Okay, this is act very good.

Good daing advice very important. If a girl's already talking to you, you have have something already. Okay, you have to go crazy and instant reply all the time when he says you I'm not like that at all man I'm not like that at all you about I Not like that whatsoever. Okay, yeah you'll you'll end up being somewhat for some reason I don't know what it is okay I guess guess the the the the thrill of the chase.

Okay um you you'll be more wanted by showing less attention in at least in the early stages of meeting somebody, because otherwise, um, people want to feel. how is that not true? That's just that is just human nature. You're just wrong about this. Okay, let me stop saying that.

sh. that is just how that works. Okay, if you're if you're overly responding, whatever it looks like your life has has nothing going on for it. It looks like you're just some other guy who's willing to just give it up.

And that doesn't fulfill anybody because somebody wants to feel the chase of it. Man, like they're chasing the they, they're they're they're trying hard and it's like it's just what it is. profiles as they can to improve their chances of the match and women. When they get a match with a man, they know that he's probably giving a like to every second profile he sees.

so there's a good chance he's not even genuinely interested. That's my take. But let me know what, If you like stories with data and would like to support my work, consider leaving a like and subscribing to the channel and thank you to our patrons. If you show that you have no options, you will You will be treated like an option.

Oh wow wait holy that hey yo. that was just kind of a good quote. Holy kind went hard here yo that's good I'll in chat that's a good video en jooin that D for straight women is like shopping D for straight men is like a job interview. chat the chat this content and these conts are going to actually turn me into this is like this is like Intel bait red pill black pill black mold man yo this is X x on the video okay you hear my voice as well that is anyone knows that boy I don't know he's just so s anyone knows that boy I don't know he's just so s.