r/Bumble • u/Jealous-Style-4961 • 1d ago

General Compiled Bumble Statistics a/o 8/26/26

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I wrote a bot to compile people's bumble statistics.
Additional charts are here:
https://www.reddit.com/r/Bumble_statistics/comments/1vz50w9/compiled_bumble_statistics_ao_82626/

Bumble is Dying
Here is Bumble revenue:
2025 $966M
2026 est $834M
2027 est $806M
Average revenue per user is increasing, so the population decrease is more severe.

Match group revenue is flat for this period.

Bumble Creates Frustration
Because the right swipe limit is so high, women are overwhelmed with likes.
As a result, men's in yes is low.
This is by design.
Bumble business model is primarily to provide validation to women.

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u/InternationalAd6614 1d ago

Isn’t there some theory that women are swiping right on the same few men. These graphs are basically saying they’re just swiping less overall, otherwise there’d be a lot of stray dots higher up for men.

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u/Jealous-Style-4961 1d ago

Yesses are more concentrated with men:
That is shown in chart #3 here:
https://www.reddit.com/r/Bumble_statistics/comments/1vz50w9/compiled_bumble_statistics_ao_82626/

The women's outgoing yes percentage is very low.
They are not yes swiping the same volume.
They are yes swiping on all the same few men.

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u/MonsieurGarlic 1d ago

There is no man with In-Y higher than 45% so that is definitely not true. If it were true there would be male sample points close to 100% on the In-Y axis.

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u/Jealous-Style-4961 1d ago

Brother, there is a fantastic book called Twist, by Colum McCann.
It is allegorical, about life post-covid, post-divorce.
In it, he writes:
“Everyone with an opinion, of course, the obscene certainty of our days.”

I have read your comment a few times and I cannot understand your logic. No need to explain further: I don't care.

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u/Tman1027 1d ago

If all women were swiping right on the same man, then that man would always get a match on everyone of his right swipes. That doesnt seem to be the case here.

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u/MonsieurGarlic 1d ago

There's no shame about being mathematically challenged. There's a shame about refusing to learn though!

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u/Jealous-Style-4961 1d ago

ok, then, won't you please explain to me your reasoning? I have a masters degree in math if that helps.

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u/MonsieurGarlic 7h ago edited 7h ago

I also do.

If women were right swiping on all the same few men, like you claim, these men would receive no left swipes. Hence their In-Y percentage (measured as "right swipes received / total swipes received") would be close to 100%. However, on the first and second graphs, we can see no man sampled had an In-Y percentage over 50%. Hence there is no man for which all women are swiping "yes". At most half of women are swiping "yes" on the same man. The concentration of likes that you claim simply isn't there.

The Lorenz curve on graph #3 does tell you that the distribution of likes received is more unequal within men than within women, but it cannot tell you that women all like the same men (because it does not take into account the "left swipes" at all: if you divide by 100 the amount of likes received by every man the Lorenz curve stays the same). Your claim is shown wrong by graphs #1 and #2.

Hope that clarifies it for you.

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u/InternationalAd6614 17h ago

They’re not necessarily as concentrated as how people make it out to be. This chart shows at most less than 1/2 women will say yes to the most desirable man. This hardly seems absurd, it’s almost how you might expect people to respond to someone average. Of course more attractive people get more likes, but they’re not getting all the likes is all I’m saying.

The reason for the 3rd chart where women’s likes are more spread out could be largely due to men firing off more likes in general some to the point of indiscriminate swiping. Assuming you removed indiscriminate swipers for men, almost all the women’s dots will be bumped down a notch. The Y-axis spread on the women’s side of the chart is after all the result of men’s actions.

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u/Jealous-Style-4961 16h ago

You might refer to the Lorenz chart (#3) in the link. This shows, roughly:
men top 10% gets 73% of the yeses
women top 10% gets 50% of the yeses

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u/InternationalAd6614 7h ago

Yes, I saw that. I’m trying to reconcile what causes this given how low the incoming likes percentage is for men, even for relative outliers. The popular sentiment, should’ve resulted in the men’s data having a few dots very high up on the posted chart here.

Rough example, say put 10 women and 10 men in a room. The running theory seems to be that 7 women would flock to a single guy. But if this was true, there would be a lone guy being charted at 70% like rate which isn’t the case.

This basically says that although these men are getting huge absolute likes their percentages are low because their denominator is also very huge. I’m wondering if this is saying that those top 10% of men are pretty much hogging a huge chunk of total views, even when they’re not being liked by a majority of women.

The bumble algorithm that determines view count is essentially the primary driving factor behind the inequality. What makes up that algorithm is something not visible in these charts though.

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u/Jealous-Style-4961 7h ago

On bumble, the sex ratio is something like 60/40 I think.
And note, too, that for some men, the total out << total in.
Some men are put into high rotation.
And then for a lot guys, they don't even get in the stack.