TonyOstrich

I sometimes find it hard to tell at a glance if a post I'm looking at is one I have clicked on since they are just a slightly lighter grey than posts I haven't clicked on. Being able to set it to whatever color I would like would be very helpful.

I know the above question isn't fully complete and lacks some important information, I will (hopefully) provide that below, but first I want to explain where I am coming from with this question a little.

I would consider myself a power user in Windows (maybe even more than that). At one point I was even studying for my Microsoft Certified System Administrator (MCSA 70-270), worked in IT dealing with complex virus removal (anyone remember Combofix and Bleeping Computer?) and generally am comfortable bending anything up to about Windows 10 to my will.

I also have some experience programming in .Net, Java, Python, and Arduino's version of C++ (FWTW).

I have been trying to force myself to use Linux as my primary for a little while now. I ran Mint as my primary OS for a little over a year, and have recently switched to Manjaro to try Wayland and "increase the difficulty level" as it were.

The problem that motivated this post is that I recently installed an application via the AUR by cloning and making the package. Annoyingly though, the application is configured to run at startup and I don't see an obvious setting in the application to turn that behavior off.

I know I can "Google" how to figure out this particular problem, but it seems like a good opportunity for me to metaphorically learn how to fish rather than being given a fish by learning the Linux equivalent of what I would do in Windows for this kind of thing.

If I had this issue in Windows I would approach the issue in the following manner:

1. Depending on flavor of Windows do one of the following and check the autostart tab
   • Run MSConfig
   • Run Task Manager
2. Check the Startup folder for my User and All Users
3. Pull out the "I'm done messing around tools"
   • Hijack This
   • Autoruns
   • WhatsInStartup

I understand, and know the various locations and registry entries the applications from step 3 are looking at, it's just usually faster to use them than go digging into those locations individually.

My question therefore is, what is the Linux equivalent of the methodology I would use when in Windows? Is, or are there, specific tools for looking at startup programs and services? Is it as simple as digging into Systemd? Am I approaching this with the completely wrong mindset?

Essentially, what am I ignorant of, and can I that ignorance be rectified using my existing knowledge as a framing device?

Regardless of anything else, I very much appreciate your taking the time to read all of this and thank you in advance if you do have the time and knowledge to spare answering this question.

Cheers!

Basically exactly what the title says. In case there isn't a great place, or this post ends up getting more visibility than wherever I end up asking I will explain my approximate competency level and the question below.

In terms of competency I have an engineering background and degree, which means I had a single class in statistics. Technically I was one class short of a math minor (Graph Theory) when I graduated. Unlike most engineers and Six Sigma "graduates" I don't think this automatically makes me some kind of math/stats wizard. I'm aware I know just enough that I can unintentionally massage data to fit my bias (mini rant over).

My question is, when looking at a human population and trying to find the approximate subset of people with certain attributes how are correlations handled to avoid double counting?

For example let's say I am looking at a specific city and my data sets are thee most recent census, BLS.gov, and Pew Research. With the above sources I can pretty easily estimate something along the lines of

The number men in a US city that are:

• Between the ages of 22-44
• Have a STEM degree

However, if I then wanted to add another factor:

• Are/Vote liberal

I know that is going to interfere with the original criteria because higher levels of education are correlated with people being more liberal, thus if I just punched in the percentages from all three data points the resulting number is likely going to be much smaller than reality.

Is there a term or method I can read up on for how to account for overlaps/correlations between population subsets? Does this make sense or am I asking the wrong kind of question?

FWIW none of this is related to my job, an argument, a shit post, a data graphic, or anything else I will ever really make. It's just for something specific (not the actually the above example but something like it using the sources I mentioned) I am personally curious about. I have also more generally been wondering about how to account for this kind of overlap for a couple of years now.

Regardless, thanks for taking the time to at least read all this.

Cheers!

cross-posted from: https://lemmy.world/post/20967170

cross-posted from: https://lemmy.world/post/18841256

cross-posted from: https://lemmy.world/post/18216456

cross-posted from: https://lemmy.world/post/15732362