Anonymous #7 1d

Idiot

29

Anonymous #5 1d

Dumbass

44

Anonymous OP 1d

Objectively, no matter your stance on pro-life, fewer people means fewer options. Now, who’s to say his person was in the group that got culled; best case his odds for sure dropped.

-11

Anonymous #5 19h

If I shake your head it would sound like an aerosol can

37

Anonymous #11 16h

it's actually disgusting. there's over 70million people born in our generation. there was 800 people in my graduation class in town of about 100k. if you can find someone that's fr on you

47

Anonymous #11 16h

Exactly 2007 was one of the biggest years for births EVER

22

Anonymous #5 16h

there's 8.3 billion people in the world. if you can't find any ONE person to date you, that is completely on you.

19

Anonymous #11 16h

the way they assigned the role of submission & servitude to women who dont even EXIST yet needs to be studied😭

26

Anonymous #11 16h

unrelated to the post but isnt a town of 100k more like a city?

3

Anonymous #11 16h

ok nvm i looked it up and it seems like the definition is fairly variable. my town is technically considered a city but only has like <20k people, so i was basing it on that

1

Anonymous #14 15h

yeah, i used to live in a town with less than 20k ppl and it was technically considered a village. my town just covers a very small area so i think thats why its not considered a city

4

Anonymous #12 13h

But his odds would be higher if there were more people

-4

Anonymous #7 13h

how so? who says those people would be in the same place as him? it's not really a numbers game, its a skill game

7

Anonymous #14 11h

Do you think it is possible to flip a coin many times over and never tails?

1

Anonymous OP 11h

"if i shake your head it would sound like an aerosol can" 😭😭😭😭 new thing just dropped. stealing this one queen

9

Anonymous #7 11h

do you think women are like coins? this has nothing to do with anything.

8

Anonymous #14 10h

Well, it’s statistically impossible to flip a coin many times over and never get tails. This isn’t about women being coins, more so the probabilistic event of a men getting a girlfriend and a coin flip can be modeling the same (trial). Therefore, as the population size increases, he would atleast get 1 success so the original point is still correct

0

Anonymous #7 8h

yeah you're missing the entire point of what i said. a coin flip is 50/50 & does not model the probabilistic event of a man getting a girlfriend, which is not 50/50 and is based on many factors, including where the man lives, what women and in which contexts he's approaching, his personality, physical appearance, financial situation, the men he's in competition with, etc.

4

Anonymous #7 8h

even if we assume that more women would give him a better chance at a girlfriend (which i already think is a faulty assumption) saying that less abortions = higher success rate for man getting girlfriend is ignoring the fact that not all abortions would have been female babies. some would have been male, and those men would have been competition, which would cancel out whatever increase in chances he thinks he would have had anyways. in conclusion, u don't understand statistics lmao

5

Anonymous #14 4h

That’s were your wrong persay, you’re correct that the chance of getting a girlfriend doesn’t have the same probability of success as a coin flip (50,50) BUT they are both Bernoulli independent random variables. I was moreso explaining a common result in probability, the coin flip is an analogy to use for people who do not have knowledge about. In short, the probability of the sum of n Bernoulli iid having success probability p in [0,1] random variables being 0 as n goes to infinity is 0

1

Anonymous #14 4h

The competition is already encoded in his probability of getting a girlfriend.

1

Anonymous #14 4h

These “factors” let use write Z~ Y|X, Z is Bernoulli, x is a mvn, y is Bernoulli conditional

1

Anonymous #7 3h

first of all, n does not go to infinity (there are not infinite women) and doesnt even necessarily increase just because there are more women unless you are implying that this guy will talk to literally every woman on the planet, which is not possible.

1

Anonymous #7 3h

second, coin flips are independent variables. getting heads on one flip does not affect what the next flip will be. dating (or for this model, whether women are willing to date this guy) is dependent on things that change with respect to previous outcomes. the ratio of men and women stay the same. the variables influencing the outcomes are not meaningfully affected by there being more or less people, except maybe in the case of an extremely insular community.

1

Anonymous #14 3h

N does not go to infinity correct but this analysis is used in stats classes for why adding more samples to datasets lets certain lemmas and theorems hold. And I mean the whole point was his chances not increased but I just proved to you that they did increase under HDB/WLLN sooooo yeah….

1

Anonymous #7 3h

they didn't increase because you didn't account for the increase in competition. the probability of success would be affected by that variable

1

Anonymous #7 3h

there being more women in the world does not increase the women he will be able to meet in his lifetime because there are already more women in the world than he would ever be able to meet in his lifetime. do you seriously not get this

1

Anonymous #14 3h

wLLN holds in the dependent case

1

Anonymous #7 3h

literally how so

1

Anonymous #14 3h

You’re missing the point again. As stated earlier, theoretically, as n increases, he will find ONE success as the probability of him getting all failures as n -> inf is 0. So by adding the aborteds we increase n. What is hard to understand about this concept

1

Anonymous #7 3h

if you have a bag of marbles, 5 white and 5 black, and you add 5 white and 5 black marbles to it, your chances of getting either marble do not change because the ratio stays the same. explain to me how some random ass guy is more likely to get a girlfriend because of there being more people when the increase in people is not along gender lines

1

Anonymous #14 3h

Because you can bound the prob using CHineQ

1

Anonymous #7 3h

because n is not increasing. if n is the number of women this guy will talk to in his lifetime before finding a girlfriend, there are already more women than would be possible for him to talk to. there being more people IN THE WORLD does not change the number of women ANY RANDOM MAN has access to

1

Anonymous #14 3h

So we have n1 and n2 > n1. The probability of all zeroes (failures) for n1 is greater then n2 since n2 > n1. As n1,n2 go to infinity they prob goes to 0. By the negation rule the probability that he gets atleast one success (a gf) is equal to 1 - all failures

1

Anonymous #7 3h

lets say the maximum women he could talk to in his lifetime is 100, before he will die. if the number of women in the world was 10,000, and you added 1000 more, his chances do not increase because the number of women increased, because his chances are not based on the overall number of women but instead based on the number of women he has the ability to talk to in his lifetime, which is already beyond saturated by the number of women alive

1

Anonymous #14 3h

This is another constraint but even then with the existence of of dating apps it’s false. Also we assume these aborted people are spread uniformly across the globe, so n2 is still strictly greater then n1. Meaning his odds of getting a gf have increased

1

Anonymous #14 3h

Why would his max be 100, see what I said below

1

Anonymous #7 3h

you're assuming that n1 = world woman population - abortions = number of women this guy can talk to, and n2 = world woman population + abortions = number of women this guy would have talked to. what i'm saying is that this is a false assumption to make.

1

Anonymous #14 3h

Since the aborted people are spread uniformly, the number of women this guy can talk to would still increase

1

Anonymous #7 3h

his max wouldn't be 100, the same way that the world woman population isn't 10,000. i made up small numbers for my demonstration. but he has a finite number of women he is able to talk to in his lifetime, by virtue of being a human who is going to die. are you actually unable to comprehend that

1

Anonymous #7 3h

why would it increase. have you personally talked to every woman in your town?

1

Anonymous #14 3h

It doesn’t matter that it’s finite, my claim is theoretically true as long as n2 > n1 as a result of probability. You’re saying that is the aborted people existed, that it’s unlikely that he would have even ONE extra person on a dating app or in his town?

1

Anonymous #14 3h

His town would be larger, in fact your finite cap is wrong, it’s a finite scaling percent. More so there’s some percent k/100 that out of the population we model, he would talk too, and out of the world k/100, a finite cap doesn’t make sense when it would be a percent

1

Anonymous #7 3h

i'm saying that whether there is one extra person in the entire dating pool of his general area does not meaningfully impact his chances of finding a girlfriend because he has almost certainly not exhausted the people already within his dating pool unless he lives in a very sparsely populated area

3

Anonymous #7 3h

also, you're saying this like he is the only one for whom this would be true. if everyone who is looking for a girlfriend has their odds increase because of new people, the odds that HE SPECIFICALLY would find one would not go up because he is one of many people with the same goal

3

Anonymous #14 3h

Well as a said early, as long as n2>n1, his chances have increased mathematically, that was my original point

1

Anonymous #7 3h

like please take this claim to its logical conclusion, if you're saying this guy would be more likely to find a gf if there were more people, you're also saying that would be the case for any man. if thats the case for any man, and men are also increasing becsuse of not having been aborted, it cancels out

5

Anonymous #7 3h

but they havent because the RATIO stays the same

2

Anonymous #14 3h

That’s not how probability works

1

Anonymous #14 3h

Well that’s the thing, this is a model of ONE random variable which can model any person in said scenario so

1

Anonymous #7 3h

what are you talking about, you're saying it would be a fixed percent or k is a variable?

5

Anonymous #7 3h

there being more people in your town does not mean that you are physically able to talk to more people in your life than you already would be able to

4

Anonymous #14 3h

K would be fixed

0

Anonymous #14 3h

All it takes is an encounter

0

Anonymous #7 3h

explain to me by what mechanism k would be fixed. no really, explain to me how your town increasing in population means you are able to talk to an increased number of people, based on the percent of your town that you talked to before?

3

Anonymous #14 3h

k/100(n) < k/100(n+i) for i >1

0

Anonymous #7 3h

that's not at all what i asked

1

Anonymous #7 3h

i asked you to explain the mechanism, i mean the physical mechanism in the real world by which a human person is able to increase the number of people they talk to by an amount corresponding to an increase in their towns population.

1

Anonymous #14 3h

k/100 is the percent of people you would be able to talk to at your town, say student or cashier or whatever + hobbies, locations you frequent that other people frequent, that’s p much it

1

Anonymous #7 3h

thanks for answering another question i didn't ask, yeah i gathered that k/100 is the percent, please explain to me in what way that percent would stay the same as your town population increases. if you have 10 friends in a class of 20 people and then 30 more people join the class, that doesn't automatically mean you're friends with another 15 people. do you get me?

1

Anonymous #14 3h

The percent of people you would take to encodes matching, it’s not like you would be friends with them, but you would encounter them, for each person k would be different, you could say for an introvert it would be low and vice versa

1

Anonymous #7 2h

for a classroom setting this may be correct but if you are in a medium to large size town, you are not necessarily having more encounters just because there are more people. you are very likely at the "saturation point" so to speak unless you are in a very small area that suddenly has an influx of new people

0

Anonymous #7 2h

i regularly meet people who i do not know who have lived in my town the entire time that i have, and i live in a town of like 20k which is not very large on a grand scale. this is my point

1

Anonymous #14 2h

You can definitely have more encounters in a larger town. But also this “saturation point” still concludes n2 > n1

1

Anonymous #7 2h

how

1

Anonymous #14 2h

because this saturated population still scales with the full population, and the full population gets increased by the aborted peoples, therefore n2 > n1. qed

1