Depends on the topic. From what I can tell, Lemmy skews young and technical and towards certain personalities and interests, so there are going to be topics that go to those strengths, but also topics where the discussions get mired down in either discussing the basics or get stuck in a pretty unsophisticated understanding of the topic.

It’s obvious with the hyper local discussions (where should I eat in this city when I visit), because there just aren’t enough knowledgeable people to form a quorum for quality discussion. But it’s also true in many of the hobby/interest discussions, simply because there aren’t enough people to where good discussion encourages more high quality discussion in a feedback loop.

Partially. I think it’s a good drop in replacement for:

• Anything technology oriented, from software to hardware to what different open source projects are up to, to what tech corporations are doing, and various discussions around ecosystems (the internet itself, specific services like Discord or Reddit or LinkedIn, app stores, social networking, etc.)
• Funny memes or other humor

It’s got pretty good coverage of certain topics:

• Politics, at least on specific sub topics
• Science and specific scientific disciplines

It has a few pockets that work for very specific things:

• Specific TV show or movie franchises (looking at you, Star Trek)
• ADHD or neurodivergent support/advice
• Noncredible Defense is actually here. Love it.

And it’s just missing a bunch of things I loved on Reddit:

• Sports, especially the unique culture of the NBA subreddit
• Other specific interests in television, film, music, or other cultural interests.
• Local things in specific cities
• Finance and economics stuff
• Lots of specific interests/hobbies are missing, or just aren’t as active.
• Advice/support for career/work life, especially specific careers (in my case, the legal industry and life as a lawyer)
• Advice/support relating to personal relationships, from parenting to dating to very specific support forums for things like divorce or cancer. Even what does exist here is disproportionately neurodivergent, so the topics of focus seem to be pretty different than what would be discussed in other places.

I wonder about the discrepancy in the line for Met in Bar or Restaurant though, the 2010 upward trend in that is totally absent in the OP image.

The caption for OP’s image says that stat was “cleaned up” to adjust for people meeting online. That could mean that some survey respondents met online and decided to meet in person in a bar or restaurant, and answered yes to both questions, and that those couples should be counted as “online” only.

Or it could mean they were actively swiping while at a bar or restaurant and looked up to see matches they’ve been recommended.

In earlier generations more people didn’t even go to college. If you’re in the 70% of silent generation that never went to college, you’re certainly not going to meet a spouse there. Especially if you attended a university that was only for one gender.

When I was dating in the late 2000’s and early 2010’s, I remember adding dates as friends on Facebook, somewhere around the first date, specifically to be able to get a sense of their personality/background/interests, and to show off mine, even for people I met in person.

It wasn’t online dating through a dating app, but online presence was still a huge part of the actual process.

Even before that, in the early 2000’s, I remember stuff like AIM profiles that could at least link to photo albums that show off things that you’ve done recently. And even then having always-on broadband Internet, to where we’d be logged into AIM or ICQ, was its own flex.

The number of people who are partnered vs single is 70%. If 60% of those met via dating apps, that’s 42% of the total.

You’re still not slicing thin enough.

If 60% of the couples who got together in 2022 met on dating apps, and people who got together in 2022 constitute 5% of all couples, that’s still possible (and probable), then those couples will still only be 3% of the total. Pretty easy to add up to 11% that way when you start including all the 10-year-old relationships, the 20-year-old relationships, etc.

If it were flat at 60% for all years then no, it wouldn’t add up.

But if you look at the area under the curve, it’s still pretty small comparatively speaking because it’s such a recent phenomenon. (And not every year would actually count equally for the whole data set, but it’s displayed in this chart as every year adding up to 100% for its own year.)

About half of those under 30 (53%) report having ever used a dating site or app

Yes, but that’s a bigger denominator, and includes single people, and even those who have never been on a date. The headline question is what percent of couples met through different methods, not what percent of individuals, including those who are not currently in a couple.

So it doesn’t make sense that more people would have met their current partner through a dating app than have ever used one.

It could be that a higher percent of couples met online than the percent of people who have ever used online dating. If you have a data set where online dating is literally the only way to meet people, but only half of the people are trying that method, you’d have the situation where 100% of couples met online but only 50% of people have ever tried online dating (this hypothetical is purely to demonstrate the math, not claiming that this is in any way a reflection or the actual data).

It’s entirely possible (and I’d argue is likely) that the 53% who have used dating services are more likely to be in couples than the 47% who haven’t. And so that larger subset of the 47% would therefore be excluded in the “percent of couples” data.

mostly I’m just bothered by the apparent lack of any way to confirm the authenticity of the graph and its relationship to the source material

The 2019 paper I’ve linked is authored by the maintainers of the linked data set, and contains a very similar graph with an earlier cutoff (2017 data). I’m sure those authors know their data set. It’s just most of their papers using this data is paywalled, and the data is mainly used for other types of analyses.

If I have time I might be able to download the data set from a computer and just map it either naively or by applying the correct weights.

but the study they are citing doesn’t seem to confirm anywhere close to the 60% figure, it seems to be saying 11.5% instead

I think you’ve linked the variable of all couples regardless of when they got together. If 11.5% of all couples met online, whether they met in 2023 or 1975, then that doesn’t actually disprove the line graph (which could be what percentage of couples who met in that particular year met through each method).

The researchers who maintain the data set you’ve linked published an analysis of the 2017 data showing that it was approaching 40% towards the most recent relationships being formed, in 2017. I could believe that post-covid, the trends have approached 60%.

Yeah, one night stands can turn into lasting relationships. I know a decent number of married couples who met in zero-commitment contexts, whether it’s a hookup from a bar or while on vacation in a tourist town or things like that. Or even meeting on a hookup-oriented app that somehow turned into a not-just-for-hookups service after becoming acquired by Match, but during the phase when it was most definitely mainly for no-strings hookups.

I would think that an ad for something would paint that thing in a favorable light, not make it look gross and weird and unappealing.

I mean that’s basically why a lot of us are great at small talk: we actually do care about the contents of that low stakes conversation with strangers.

So we’re having a conversation about the Wal-Mart style self checkouts, which you’ve not only never experienced, but apparently can’t even imagine.

To borrow from an earlier comment of yours, we’re in an “alternate reality,” so your conversation should be grounded in that understanding.

Your entire comment seems premised on the mistaken assumption that every self checkout system is implemented in the exact same way.

I use self checkout at certain stores, and avoid it at others.

And the store that this whole post is about, Wal-Mart, is definitely one of the stores I’ll avoid self checkout at. Their system sucks.

Also over here cashiers don’t bag your items for you, so you have to do that anyway

I’m a lot faster at bagging when I’m not also scanning. The human cashier divides the labor to two people, which makes it faster.

In the name of theft prevention and legal compliance, they do not give self checkout customers the same powers as actual cashier employees:

• Self checkout customers cannot verify their own age for age-restricted items.
• Self checkout customers cannot scan something and report the number of duplicates (e.g., scan a can and punch in that you’re buying 8 of them).
• In most stores, self checkout customers are policed by the system to make sure that each item is placed onto a scale that weighs everything, and stops the process if weights don’t match up.
• The ergonomics and flow of self checkout doesn’t allow for a conveyor belt style rapid scanning, because a self checkout station is a tighter space and tends to require bagging as you scan, instead of scanning and bagging separately and independently.
• The frequency of produce code entries means that customers tend to be much slower to enter foods that don’t have bar codes.

As a result, self checkout tends to be slower for customers who have more than 20 items. That might be offset if there’s a longer line for regular cashier, but if there’s no line the employee cashier is much faster.

I remember a post by OKCupid noticing the same phenomenon at 179 cm countries that use metric.

Are you talking about the office or the sauna?

given the logo

…and the business model

There’s a literal character already named Shu Mai.