Yeah, I’ll probably do the same :)

Have fun with iNat!

Sorry, what? I don’t understand what you mean :/

Oh nice, I’ve thought about contributing to osm for a long time but this makes it so much easier to do that!!

I’ve looked into what I can do in my close vicinity and there are many roads that still miss their width. However, the app suggests to install an app (streetmeasure) to measure the width. This app is however based on Google AR services (that don’t work on my degoogled phone. How do you guys deal with that? Do you just ignore those tasks or do you guesstimate the road width by eye?

Oh, and another thing: If you like something to do on your walks, may I suggest also looking into iNaturalist (and the companion app Seek), too. While you are walking around you can find so much stuff out there that you’ve previously overlooked. When I go through any street now I spot bugs and plants everywhere!

I unfortunately don’t know where to search :'( Do you have a hint for me?

Neither beautiful nor conclusive data. With such a low amount of plane crashes over such a small time scale the number of incidents could just be random fluctuations. Since only the number of fatalities is given but not the number of incidents per year, it is impossible to tell if the difference in fatalities might just be due to varying sizes of planes.

I wonder how the source is biased. Like, what demographic in what country is on Facebook, in how far people befriend others more or less easily online vs offline, how do such female vs male “networks” come together. Do they clarify this in the article?

Nice! Although unfortunately most of the documentation and various tools are in French…

Not sure how ad revenue works. Do they get paid, if no ads are shown? Or is it because of SEO and the search results that come up first that give ad revenue?

Thanks for the recommendations! Haven’t read any of these books and after reading some reviews, I’m intrigued.

If you liked the details in Moby Dick about whaling, you may also be interested in this great BBC series I’ve discovered a few weeks ago: Inside nature’s giants where they dissect large animals and explain their anatomy and evolution. There are also two episodes of stranded whales being dissected ;)

This data isn’t really worth much without any info on variation.

But really, the societal obsession with penis size is deeply unhealthy for everyone, but especially men. We should strive to value all bodies for their inherent beauty and stop comparing them. There isn’t any better or worse. Please stop reproducing those norms. Same goes for all other body related norms. They go hand in hand with sexism, racism, ableism, queerfobia and all kinds of discrimination and objectification.

What does this actually say if most billionaires like Musk or Bezos pay themselves only a symbolic income of about 1$ (if any)?

LimeWire, the popular peer-to-peer file sharing app from the early aughts that was resurrected by new owners in 2022 as an NFT marketplace, is back once again. But this time it’s just the platform’s retro branding that’s making a comeback as part of a new officially licensed apparel collection from lifestyle brand Dumbgood.

The current iteration of LimeWire has no affiliation with the original company (Lime Group LLC) that developed the popular file sharing app. The modern web3-focused version of LimeWire claimed an expired trademark and purchased the LimeWire.com domain from a former developer in 2021, according to Torrent Freak.

Doesn’t sound like it really exists as such but rather like it is used to flesh out the name.

It works, but since the beginning of the year there haven’t been any updates to the xmanager version anymore and various functionalities have been lost. Really annoying when shuffle is on by default for example :(

(Edit: maybe more correct to say that since about half a year the xmanager team is only releasing experimental versions since Spotify made some major changes to their software.)

Impressive data collection!

However, it is really hard to compare the wear of my own clothes with these findings because of the fundamentally different approach to clothing.

Underwear shirts typically last between 20 and 25 times. That means an active shirt with about 28 wears is likely to be nearing the end of its lifecycle

What? I wear my shirts for years and I don’t have that many of them either. Sure, they get holes at some point but that isn’t a reason for me not to wear them. My point is, the wear expectancy is substantially different if one throws out clothes after 20 wears or if one keeps using them until they fall apart.

Not sure if OP is the author, but these R graphs are really bland. Looks like ggplot2, so why not use a package like ggthemes? Or at least remove the atrocious grey background (personal opinion)?

Nice visualization!

And just because it made me think of one of my all-time favorite songs:

https://www.youtube.com/watch?v=2FMccwa-0vA

Well, isn’t that how it’s also done on the reddit sub by the same name for years?

Also, sometimes it say “won” or lost" behind the candidates, sometimes there is an asterisk, but for many entries, there is no information who won and who lost?

I’ve been using two different (refurbished) Pixel phones with CalyxOS for over 3 years now. It is a really great experience :) And the photos the phones can take are great, too!

Fair point, I guess this would be a good reason to plot it like this. Maybe the author of the graph should have labeled it accordingly to avoid confusion though…

The Y axis is throwing me off a bit. If the X axis already shows the amount of protein per mass, why would you also couple the Y axis to the amount of protein? So all the products low on the X axis automatically increase along the Y axis. For example, the vegetables are probably that costly in this graph because they have a low protein content, not because they are necessarily that expensive.