It is because the Boomers are exiting the workforce that SS revenue falls relative to expenses, causing that peak in assets.

The US life expectancy has dropped back to what it was in 1996. Drug overdoses, COVID, suicide and the obesity epidemic have all wrecked havoc on our population.

https://www.scientificamerican.com/article/the-u-s-just-lost-26-years-worth-of-progress-on-life-expectancy

Do you know what a bank is lmfao?

Or get rid of the cap where you stop paying social security taxes on income over $160k. Seems preferable to making people work even longer in their later years

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Lol yeah... this barely scratches the surface of how much of a nerd I am

Fascinating, thanks for sharing and being open. I can definitely relate - comparing my success on this app with that of white male friends is always a bit sad haha.

Hinge has actually quite aggressively pushed me toward exclusively asian girls despite me not setting any filters of my own and not having strong racial preferences. I think what happened is that the app realized that I'm much more likely to get matches with asian girls and so has been showing me to them and showing me them, with little regard for my own preferences. In the beginning the app was pretty race-blind, I got what felt like a pretty statistically random sample of the population of my city. But then I got a few matches with asian girls, went out with one, reported that I had in the app (presumably so did she), and boom! Every single girl I'm shown after that is asian. Currently of my 40 matches, 36 are east asian, 3 are white, 3 are indian. And this is despite swiping right on lots of black, brown and white girls. So the preference goes both ways - clearly my "match rate" aka "rate of women who matched me back after I liked them" broken down by race is something like "0% black, 0% brown, some decent % asian (10% maybe?), small nonzero % white, small nonzero % indian)."

I'm glad to hear that bumble works for you - it doesn't for me but I guess that's down to the different policies of the app like you say.

And you shouldn't sell yourself short - you're quite a bit more than decently attractive. I'm not your friend, I'm a random person on the internet so you can trust me :).

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If anyone's talking about Social Security failing, it's because they want to shake confidence in the system so they can carve it up somehow. The Social Security trust fund is one of the biggest piles of money on Earth, so a lot of Republicans look at it the way Wile E. Coyote looks at the Road Runner.

Great filter question

Well, considering those "assets" are really just IOUs from the taxpayer, who is already on the hook if SS goes belly up, I am not sure this graph is really a good interpretation of reality.

It isn't like they have a stock portfolio for this-- it is treasuries. The money has been spent already.

And look at when those assets were acquired. We just saw a huge bank fail because they were holding treasuries with low interest rates. With treasury rates around 4% or higher, we should probably discount some of that asset line.

Just as I‘ll sleep fine. Geeez can‘t even ask a question. Gotta love the white knights coming to save the day 🏇🏇

I'm sure you being single has nothing to do with the fact that you've made your dating life into a flow chart haha

You can probably understand this as an Asian man but words cannot express how much its mainly White and East Asian women who get numbers like this. Brown women of all types get match rates more like men’s, no matter how attractive they are. Countless studies document this. If privacy wasn’t a concern and the OPs from these graphs shared their profile screenshots, we would quickly realize there are a couple more requirements than “girl,” and ethnicity is number one.

Hinge’s algorithm makes this worse by trying to figure out your “type.” Even if a dude doesn’t have a racial preference, Hinge will create one for them. If most of the people in their area are White and East Asian women, they’re mostly liking profiles of White and East Asian women, Hinge thinks they mainly like White and East Asian women, and the app is less likely to show them anyone else.

Anecdotally, I’m a decently attractive black woman and hinge is an utter ghost town, no likes, no matches, because I’m less likely to be “put in the same room” as the guys who will like my profile as I would on say, Bumble, where I get better (but not great) results, because everyone is mixed in with everyone and it’s more organic. Last time I downloaded my Bumble data my match rate was about 8%.

I'm not saying all this to "woe is me." I work with what I got. Just as data nerds we like to paint a full picture with the numbers, and the common "All you have to do is be a woman" story is woefully misleading.

Edited to add links.

No, it stems from the imbalance in demographics. If a man and woman both swipe right on 100 people, she'll get a lot more matches than he will.

The only thing she can do differently is swipe right less, and then you're going to have guys complaining that they hardly ever get a match. They'll only be swiping on 9's and 10's. If your personality is doing all the heavy lifting, this would make dating sites unusable.

We should charge them overdraft fees.

Must be doing SOMETHING right

hi there, do you like talking about yourself?

Makes me think of the Mario Paint fly swatting game

Also, light the beam!

you make it sound like there arent ways to account/fix for that. you can increase revenue/taxes, reduce payouts a certain %, increase retirement age, etc. Of course none of those things are politically popular, but its fear mongering to suggest that SS is at risk of going insolvent. On the current trajectory without any changes the program can continue to pay out to retirees, just at reduced rates.

All we need to do is raise the retirement age form 67 to 70 to adjust for increases in life expectancy and lower birth rates.

If this map was the percentage of banks that went bankrupt, that would eliminate the base rate issue that some states have far more banks.

But I suspect Georgia’s issue would remain, even as a percentage. It’s banks were all smaller, which I suspect would make them more susceptible to failure. But it would be interesting to see that map to see if it is true.

As you suggest, dollars might be another way, or number of accounts (to level out the impact of wealth differences across regions).

When you've got 1 match and she's got 100, I'm sure she'll sleep just fine knowing that you unmatched her.

Problem is population. When population growth goes flat or negative the truth of this program becomes evident. It’s like multilevel marketing.

> I’m really not a fan of the limited likes. This is a numbers game for guys.

Ok, but OP has clearly had vastly greater success on that platform.