For audiobooks, I personally use Libro FM, though audiobooks.com is also an alternate source. Unfortunately if you're looking only at price, you won't be able to move past Audible because they employ so many shady and bad-for-authors practices that their prices are artificially low. If you're only interested in getting DRM-free Cory Doctorow books, Craphound.
I'm not some great logician or anything, but in its most basic framing "You don't need to worry about surveillance if you have nothing to hide" would be along the lines of a proving too much fallacy as the conclusion is much too broad for the argument of just having nothing to hide. As with a lot of informal fallacies (fallacies made due to content and/or context of the argument), you could probably ascribe a few of them to this statement, for example you could probably correctly state that this is a thought-terminating cliché as well.
Depending on how it is deployed, as described in one of the comments of the linked post, this could also constitute a formal fallacy (reasoning with a flaw in its structure), specifically denying the antecedent. As a TL;DR, the structure would have to be "If you have something to hide then you should worry about surveillance [if p then q], therefore if you have nothing to hide then you shouldn't worry about surveillance [if !p then !q]".
In my personal view call it a fallacy or not, the strongest arguments against "nothing to hide" have nothing to do with its fallacious nature or lack thereof. Additionally, demonstrating that an argument is fallacious just demonstrates that the argument needs to be reconstructed, rephrased, or better supported, not that its conclusion is false (else you fall victim to argument from fallacy, aka the fallacy fallacy).
I went through all this, and it seems Jellyfin was the problem. I added this into my yaml:
ports: - "8096"
And now I can access the server.......if I use port 32769....which I figured out by using docker compose ps -a. I also had restarted it once, and before the restart, I accessed it with 32768. Any idea on how to fix this? I don't even know what's causing it
UPDATE: For those keeping score at home, I needed to change the mount from /etc/caddy to /usr/share/caddy and now it works. However, I have a new problem:
Once I get all three containers (caddy, jellyfin, and tailscale) up and running, now I can't access it. All three report as being up and I checked the logs and none list any errors, but when I go to my tailnet address, it can't find anything. I've even put the port number in and it can't find anything. Any ideas?
Thanks for the info, I'll try using a different mount point. Which directory would be best?
Do not use /root inside or outside of a container for plain file access. That’s insane.
Yeah I agree, I don't know where that came from in the initial error. That line in the yaml file had the path as ~/Jellyfin/jellyfin-tailscale/caddy/conf/Caddyfile so it was in my user directory
You also don’t mention if Podman is the underlying runtime managing the container
Telling too that the Democratic leadership said after the fact that one of the reasons they lost was that they relied too much on small donators instead of billionaire donators. Disgusting
Would like to point out that part of this bill includes a provision that makes it illegal for Courts to hold the Government in contempt for not complying with their past, present, or future injunctions:
H.R. _____, Title VII § 70302:
No court of the United States may use appropriated funds to enforce a contempt citation for failure to comply with an injunction or temporary restraining order if no security was given when the injunction or order was issued pursuant to Federal Rule of Civil Procedure 65(c), whether issued prior to, on, or subsequent to the date of enactment of this section.
Fellow American convert to the metric system. Converting, in my opinion, won't get you very far in actually understanding the measurements. To this day, the conversion rate is something I have to dig through my memory for.
For me what helped with the temperature scale was breaking it into chunks based on what I would wear, 10°-15° would be a pullover sweatshirt, 15°-20° a track jacket, etc, which got me to stop focusing so much on the conversion. Eventually you just get a sense of these things, I think that most people can only really feel a difference in air temperature of about 1°C. 0° being the freezing point cutoff is super helpful for judging things like potential road conditions if it's wet.
For distances I first got the sense of how far things were in kilometers by being a runner and knowing distances around my neighborhood as to how they lined up with running a 5k, 10k, etc. For meters, at my height and gait, my stride length is about a meter long. A little bit on the shorter side of things, but it still helped me get an idea as to what a meter looked like in physical space, even if it's off a bit. Centimeters and millimeters are a different story. Hard to find perfect analogs in the world, but you'll find something eventually. I think for example long grain rice can be ~1 cm in length for example.
The biggest lesson in my own journey and seeing a lot of people online talk about trying to do the conversion is that people get overly concerned with precision when first making the switch. If you actually think about most of our daily interactions with measurements, they're much more approximate. For example, the difference between whether it's 71°F or 73°F is rarely pointed out. The temperature is just "in the low 70s". We say that something is "about 20 miles away" which is almost an implicit 7-8 mile range. I would guess 80% of the time, this is how we interact with the units we use, so focus on that. No one is going to get upset if they ask the temperature and you're off by a few degrees C.
In terms of mnemonics like US kids get in school for some of these things, everything in the metric system is a multiple of 10 from everything else, which is what makes it great. Also remember that at room temperature, water's density is 1 g/mL, so if one of capacity or weight is easier to visualize for you, it's a shortcut to the other. Standard disposable water bottle in the US is 500 mL or half a kilogram of water.
I'm interested where this comes from too. Is it just because they aren't a FOSS project?