🎓 Dr. Freemo 🇳🇱 @freemo@social.cleverlibre.org

Past few nights ive been eating about 500 grams of spinach with dinner and 250g skinless chicken... At this rate im gonna overdose on vitamin K...

@Paulos_the_fog I'd argue using two separate systems interchangeably is **far** more an insanity than having a purely imperial or metric system.

@Paulos_the_fog And milk, food, peoples weights... Sounds like you guys are still on imperial outside of engineering or technical pursuits more or less. When I was in UK last virtual everything Im exposed to day to day was imperial.

@JonKramer perhaps you mean thr UK? In thr usa we rarly use metric even internally.

@annecavicchi

Officially maybe, but if your in thr uk you will be using it for damn near everything.

Actually a correction, in that measurement the UK was counted as metric.. which is only partly true.. So the number for imperial system is a bit higher in reality.

Interesting fact of the day, about 78% of the worlds GDP is produced in countries using the metric system. 22% of the worlds GDP is produced by the imperial system (the system the USA and UK and a few other countries use).

@stux Yea, though that tool has its own limitations and downsides,but yea its one way to address the problem.

@stux Do what works for you but we have more than enough space on our server to be able to host a large repo... That said the real issue with large files in repos is that it usually doesnt scale well into the future since it keeps **every** copy you send to it. So the repo can get so large you wont even want tow ork with it anymore at a certain point.

@stux Still using QOTO's gitlab or did you move?

@pwinn normally it should detect your location and do that for you.. but yea you can always explicitly specify the location :)

@paul

Ohhh very nice!

@killyourfm

@killyourfm Glad you like it, I find it quite pretty and useful :)

If your on linux and you dont already know this command, check it out:

> curl wttr.in

#linux

@favus Best of luck to you!

@thor More commonly its log-normal and not a Pareto for most cases where there is a lower boundry.

For example wealth distribution is a log-normal distribution. Even when it may have a shape similar to a pareto it is most likely log-normal (Which is a single end bounded version of a gausian)