Stable Marriage Problem – Numberphile

Discuss on Reddit: Featuring Dr Emily Riehl. Continues with the more mathematical bit at: The Gale/Shapley paper:…
Video Rating: 4 / 5

0 Replies to “Stable Marriage Problem – Numberphile”

  1. How does the end result vary if instead of the Women proposing to men, the
    men proposed to the women?

    It would definitely vary.

    I wonder if the method is biased in a way that it tends to give better
    mates to the gender that was active instead of passive in the marriage

  2. Stable yes, but with plenty of unhappiness. All the most wanted people get
    married to each other and the least wanted ones have to settle with
    themselves. So pretty much the way reality works out… Could be easier if
    we just implemented this algorithm, it would save us time and energy and
    lots of rejections and disappointment.

  3. If you’re concerned about the fact that these marriages are being described
    as necessarily being heterosexual only, realize this: This assumption
    defines an important aspect of the problem — namely, that each individual
    person must be attracted to exactly half the total population, and that no
    person can NOT appear on anyone’s attractiveness-ranking list. If we
    allowed for same-sex pairings, a gay man would be able to pick all the
    other men in the population except for himself, meaning he’s picked half
    the population minus one. The remaining one would have to be a woman. It
    necessarily follows then that everyone in the problem would need to be
    bisexual, which also is unreflective of reality. So, don’t worry about it
    — it’s a math problem, not a commentary on social norms or morality.

  4. You can’t upload the set up part and tease to the maths part at the end
    when the second video’s uploaded yet Brady, that’s too cruel.

  5. thank you for not being hetero normative and specifically mentioning the
    fact that you’re only including heterosexual marriages, I really appreciate
    it so much.

  6. This is a really interesting problem that ultimately shows that those who
    reach out first are ultimately rewarded. I think the follow-up video that
    shows the theorems is more interesting than the first. But the first sets
    everything up.

  7. Hey Brady, you might be interested in knowing that this algorithm was
    modified and is now used to determine the where Doctors go to learn their
    specialty in the US! It is called the “Match”.

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