You know, there's probably fewer perverse incentives with a government run dating service. Obviously I can imagine ways it could suck, but when I compare them to how commercial dating services are run it's hard to see how they could do a _worse_ job.
> In short, stable matches mean nothing when nobody is committed and the best options might exist outside of the matchmaking pool
This is wrong. Stable matches still mean something, and in fact probably mean quite a lot.
You are given a much better match than a random pairing. If you still aren't interested, you can decline. If you go on a date and it doesn't work out, you can decline.
Nothing forces you to use this process, it is just an offer of a significantly better than random matching to what you might prefer.
It doesn't even need to account for preferences not covered by the questionnaire.
Gale-Shapley, used in this service, has the property that one side ("proposing" side) is guaranteed their most advantageous stable match while the other side is guaranteed their worst possible stable match.
I've never heard this discussed or mentioned as a drawback because it's Nobel Prize winning and "stable" is a shorthand for "fair". Even though there's many unique stable matches that each offer participants different utilities even if individual participants don't have incentives to change their pairing.
In practice, the more powerful party seems to be the proposing side, e.g. hospitals are the "proposing side" when using Gale-Shapeley to match w/ med school students and get their ideal students.
I wonder if anyone who works on dating apps knows if men or women are the preferred side? And is there any research on stable matching that ensures equity (or ideally arbitrary distribution of utility) between the two groups in their stable matches?
Given how women initiate most divorces, it's probably best to set it up so they are the proposing side.
But this isn't raw Gale-Shapley-- the participants aren't ranking all hundreds/thousands of others. In particular, the preference matrix is based on identical mutual compatibility scores, so there's a unique stable solution (not multiple stable ones!), and there's no "side" that benefits, since the solution is identical no matter who does the "proposing".
Are there keywords to search for to read more? This is the first time I've heard about this! This is super interesting, what are a few well known other stable matches people deeper into this talk about?
Entirely dismissing how important looks, vibes, personality are in relationships. Not even dating -- if someone smells, you're not going to be incentives to make friends with them. This seems to me to just be trodding the same pseudoscientific route as MBTI personality tests, trying to condense a person into a list of multiple choice questions. That will never work. No algorithm can do it. Social interaction is not a solved game.
It's a shame that they deduce your ranking just from the questions. I think the algorithm would be perfect if paired with a manual ranking by the user.
There is an amusing irony in this approach to marriage promotion: who isn't already married in Singapore? I've been told that the city's 30 year old gay and lesbian crowd is treated to a lot of fancy dates at public expense.
Keep supply of women high because men will pay anything for a chance?
I am very curious how this will be changed in this government platform. Maybe it won't LOL
This is wrong. Stable matches still mean something, and in fact probably mean quite a lot.
You are given a much better match than a random pairing. If you still aren't interested, you can decline. If you go on a date and it doesn't work out, you can decline.
Nothing forces you to use this process, it is just an offer of a significantly better than random matching to what you might prefer.
It doesn't even need to account for preferences not covered by the questionnaire.
I've never heard this discussed or mentioned as a drawback because it's Nobel Prize winning and "stable" is a shorthand for "fair". Even though there's many unique stable matches that each offer participants different utilities even if individual participants don't have incentives to change their pairing.
In practice, the more powerful party seems to be the proposing side, e.g. hospitals are the "proposing side" when using Gale-Shapeley to match w/ med school students and get their ideal students.
I wonder if anyone who works on dating apps knows if men or women are the preferred side? And is there any research on stable matching that ensures equity (or ideally arbitrary distribution of utility) between the two groups in their stable matches?
But this isn't raw Gale-Shapley-- the participants aren't ranking all hundreds/thousands of others. In particular, the preference matrix is based on identical mutual compatibility scores, so there's a unique stable solution (not multiple stable ones!), and there's no "side" that benefits, since the solution is identical no matter who does the "proposing".
But if it helps likeminded people to find each other, then it absolutely has some value.
You can then still apply your usual filters afterwards, such as smell, looks, vibes.
These are well defined criteria which can be queried upon.
However the ranking only works if both sides are honest.
I don't understand your question.
especially for country like korea and japan ???? Yeah bro they need it
Singapore govt dating app uses Gale-Shapley stable marriage algorithm
https://news.ycombinator.com/item?id=49906432
That's the actual problem, though (a lack of it)! Above all else, you'll probably overlook a lot and still commit long-term to someone you can trust.