I have found ft.com to be very unreliable in the past.

exiftool?

You could try to find an open source project to contribute to? That’ll get give you a nice big codebase to grapple with.

This is over 4x longer than the longest undersea cable in the world

HVDC transmission losses are quoted at 3.5% per 1,000 km

So 15.75% of the electricity would just vanish. That takes the shine off it a bit although if the price difference is big enough it would still be worth doing.

You need to install some things (“build dependencies”) before installing this app. Examine the documentation to see what those things are.

Pretty good discussion about this on Mastodon - https://friend.camp/@aparrish/113053044485254385

During my time as an amateur disinfo researcher I found that ALL the fascist groups are on Telegram. Also all the antivaxers, qanon nuts, maga, conspiracy theorists the lot. One big fash melting pot.

Telegram needs to be shut down, years ago.

I quite like how *some* of the arms of the stars touch but not all. The older pentagram gives the impression that everything can connect to everything which has been hard to live up to.

But the ship has sailed and the pentagram has become well established.

FYI 90.6% of all votes are upvotes.

following the first report’s publication, TikTok disabled its hashtag measurement functionality in a move that made it impossible for the researchers to replicate their findings.

A few months ago I evaluated Quart to see if it would be a better option for https://piefed.social. It was easy to port my code from Flask to Quart and everything was mostly working within an hour or two. In the end I decided not to proceed with Quart because the performance gains only happen when there are many concurrent users and that time might never come. However the extra complexity and potential for problems was there immediately, so I just stayed with trusty old Flask. It’s good to know that switching to Quart is straightforward if I need it in the future.

Some gentle pressure applied here might change that https://codeberg.org/swiso/website/issues/255

Yeah, I think it’s that one. Does Discover pull it’s content from flathub.org?

It says “by Signal Foundation” on it and 900,000 people have installed it so it seems good enough to me.

I have the official Signal Desktop flatpak installed through Discover. It exists.

The headline had me hoping for things like “Xinjiang - how we incarcerated 1 million people for only $5k pp / year” or “Integrating vassel states - lessons from Hong Kong” or “The Tibet Journey” or “Propaganda for fun and profit Steve Bannon edition”.

Nope 😴

Yeah, I read the whole thing. It was a good story but I felt that when it came time to “deliver the goods” they fell a bit short. For example, this: https://www.atlanticcouncil.org/wp-content/uploads/2024/06/final-image-global-south.png. That is under the heading “Clearly authoritarian”, which seems pretty strong for such a boring sounding course.

I stand by my earlier comment.

I wish they were able to find better examples of the courses and the content (not just the summary from marketing materials). The examples they provided were really tame.

in China, law enforcement is designed to protect the state and the Party rather than the people, journalism is prescribed to create national unity rather than act as a check against the system, and the law is intended to protect the regime rather than its citizenry.

Very succinctly put!

In the Constitution of China you’ll find a section where it explicitly states that the interests of the group outweigh those of the individual. It’s baked into the legal bedrock.

Really great comments at https://peerj.com/articles/cs-111/reviews/. The reviewers are very nice about it but do point out some big issues towards the end.

Thanks for grabbing the chart.

My Stats 101 alarm bells go off whenever I see a graph that does not start with 0 on the Y axis. It makes the differences look bigger than they are.

The ‘outsiders, gendered’ which is the headline stat, shows a 1% difference between women and men. When their gender is unknown there is a 3% difference in the other direction (I’m just eyeballing the graph here as they did not provide their underlying data, lol wtf ). So, overall, the sexism effect seems to be about 4%.

That’s a bit crap but does not blow my hair back. I was expecting more, considering what we know about gender pay gaps, etc.

Fake Jehovah’s Witness