Related: https://www.bbc.com/news/articles/cqzjzr893yv4o
111 comments
In past the motive for marriage was sex and companionship which was frowned in society if out of wedlock. Now it is not frowned upon. The old constraint is gone and we need to add new constraints if we want to solve the problem.
On the other hand, actually applying a 'stable marriage algorithm' to people makes a bunch of assumptions which are worth interrogating:
- Do people actually know what they want even in the short term?
- Do people's preference change meaningfully over longer periods of time?
- Does your preference _upon reading people's profiles_ have any strong relationship to your preference after spending any amount of time with them?
The property that right after being matched, no one could have matched with someone whose profile they preferred more does not mean that this will create stable relationships.
The thought experiment I usually pose is to ask what you think a free, open source, and community supported dating app would change. The answer is "not much".
At least, you should have some algorithm estimating marriage length / likelihood of divorce based on your (non-app) statistics, and then use that as one factor for your in-app calculations.
The productive question would be to figure out how far outside someone's preferences they can go while still settling happily.
Private ones will always prioritize profit which means they want you to keep using the app which means they don’t want you to find a partner.
Modern dating apps makes it so that an average woman will have unlimited choices but the average man will have next to none. Before dating apps, they could have been a good match. But with dating apps, the woman has unlimited higher value men. How could these average women marry an average man if she’s being taken on dates constantly by top 5% men?
The problem is that these higher value men will not commit because they also have unlimited options.
Even if she marries an average man later in life, she will feel resentment towards him. Therefore, these women just choose to stay single. This is especially viable now because women often are more educated and have good income.
Now we can see why young men are increasingly becoming far right and longing for far more conservative world.
Modern dating apps are just manifesting natural instincts on steroids. I don’t blame either party. Just an observation.
Yeah, dating apps are problematic. No, nobody here is going to fix that with another stupid app. But I think a lot of these “meet with a group of strangers at dinner” biz concepts are cool and gonna try some soon.
And doesn't something of the same kind happen in real-life, in some societies or countries or cities male-optimal and in others female-optimal ?
- proposers descend from their 1st choice, while recipients ascend according to their offers; the outcome can't be recipient-biased, because recipients ascend only when proposers are forced to descend
- a matching is stable if each pair contains at least one party that cannot find a strictly better match
- in particular there are multiple distinct matchings, and if proposer-biased, recipients have no recourse to break the proposer-favored pairs
Imagine A ranks X,Y,Z in that order B ranks Y,X,Z in that order C ranks X,Y,Z
X, Y, Z rank A,B,C in that order.
A will propose to X and match. B will propose to Y and match. C will propose to X and get rejected. C will propose to Y and get rejected. C will propose to Z and match.
Y will never get a proposal from A. Z will never get a proposal from A or B.
Edit: I think I fixed it.
https://en.wikipedia.org/wiki/Eugenics#In_Singapore
It certainly doesn't help that the app conveniently targets those between 21 to 35 years of age, which is just before advanced maternal age (also the age where single Singaporeans qualify for public housing).
Read the full thread on Hacker News →
Related stories
- Hacker News · 1 points · 2 days ago
- Hacker News · 1 points · 4 days ago
- Hacker News · 1 points · 8 days ago
- Hacker News · 421 points · 6 days ago
- Hacker News · 1 points · 8 days ago
- Hacker News · 3 points · 3 days ago