

You know, this calls for some snarky comment, but I’m pretty sure my Idiocracy meter blew a fuse in there…
You know, this calls for some snarky comment, but I’m pretty sure my Idiocracy meter blew a fuse in there…
I was probably using Emby already by then, had bought a lifetime license since it didn’t require bouncing things off and outside server like Plex did (or was it that Plex was a renewing subscription, I forget) , so it just stayed out of inertia.
I can’t say I’ve given Jellyfin a proper try (as in using it and the clients exclusively for a long period) but we have been using Emby for quite a while before I knew it existed.
If I’m not mistaken Jellyfin is actually a fork of Emby so they’re pretty similar, but one is a bit older.
Pretty sure that’s where I played it. In an era where having a round head on your character was good graphics it was pretty fun.
Of course we can fully believe information pushed by the current Tylenol=Autism administration too. Not to say everyone did great then, but I’d bet that the next report will show MASSIVE growth and prosperity (for the 0.001%) to claim we’re all great again.
Edit: also notable, the article cited how it got so much worse after 2022, guess what also happened then?
https://ballotpedia.org/Election_results,_2022:_U.S._Congress
Trump doesn’t have major shifts, he has momentary whims based on what he thinks will gain him praise and/or money.
Hadn’t said anyone should give them what they want, but I see them using as a pretext to try a power grab.
Likely will try and pull some ‘because congress is absent’ emergency rule bullshit to grab for full dictator powers.
Is there a handy list somewhere to defed from? I don’t expect them to gain any traction unless they had an existing user base before, but would be nice to keep communal running tab.
Far too early to math all the numbers, but one note to this is that it’s entirely possible to start with a median metric and switch to mean from there, their argument being how that’s not possible right off the bat.
Start off at a median number, which statisticians love because it flattens out the effects of excessive weights on any particular segment, such as we have in the USA with a small number of obscenely rich people.
But then strip the anomaly from the dataset and recalculate the mean and get a proper average. The median may not move any meaningful amount, but without the anomaly the mean becomes more true to the sample.