nek0d3r

And as I’ve replied to many others, that’s a criticism of 11 itself and perfectly understandable. It’s not a reason to seethe at end of lifing. There’s features of software introduced that I don’t like in plenty of things including linux, but I’m not going to get mad that the version I like better doesn’t get supported forever

Windows 10 has been out a long time

Yeah, that’s how time works. Yes they’re pushing a move and 11 sucks but end of support is not like that any more than Ubuntu 12.04 is, and that’s been around even longer.

The bottom of the meme is explicitly calling it out. Those issues are valid, but there’s this shift in blame to the concept of support cycles in general.

The newer versions may be bad, but criticizing them for those bad features makes more sense than demonizing the concept of support cycles

Same here! I’m happy to see the UBports fork is still active as Lomiri, I haven’t checked it out in a while.

Most issues stand, and fuck Windows generally, but honestly I don’t quite understand the issue with dropping support for older versions of Windows. Linux distros also do this, so much software does this, it’s just not practical or reasonable to manage all your versions of your software forever.

KDE, because despite my bitterness for the loss of Unity 8, I know it’s merely nostalgia for me. I want something I feel like I can make my own without too much difficulty.

I’m a little of both, I joined for escaping the reddit blackout shutdown, but I stayed for the advantages of the fediverse. I grew up working with a lot of proprietary software, and I’ve had growing pains as I’ve grown bitter about proprietary software over time. I’ve been self hosting, working on migrating my machines to Linux, and trying to find workable alternatives to everything.

Edit: yes I’m quite techy, a DevSecOps/software engineer. I worked with Linux a long time through VMs and containers, but gaming and Adobe kept me from having a daily driver machine for more than a little while. I don’t think I’ll ever fully escape Windows because I’m a big .NET developer and work with a lot of legacy code, but I’m more than happy to leave that to a QEMU VM.

I think it’s more than just not doing yearly refreshes, it’s that they don’t want to do releases that are only incremental in nature, which is an extremely common behavior, especially among consoles.

Alright this has me giggling this morning

This has been a dream of mine and one of my friend’s as well. There’s a small handful of blockers that I’ve slowly been transitioning but the upcoming windows pain points you mentioned are definitely recent motivators for me. I’m glad you made it and I hope the rest of us can too! I look forward to reading more about your experience.

The source is literally just VSCode with a different label. What benefit does that have?

That’s a truly awful take. Especially for people who have since learned to be more mindful about their data. We need solidarity to fight corporations, not punitive treatment.

Right, exactly, which is why they launched with a FOSS license. Oh, wait–

Imagine the money going to VSCode which actually is the one getting contributions

Except this isn’t money going to a FOSS project, it’s money to some guys whose only keyboard is StackOverflow’s The Key.

I swear the discord kitten stuff was just a meme and some degenerates thought it was a good idea

What can I say, he’s smarter than the a-ver-age медведь!

That’s basically it. Some Arch users are genuinely just picky about what they want on their system and desire to make their setup as minimal as possible. However, a lot of people who make it their personality just get a superiority complex over having something that’s less accessible to the average user.

There’s not a lot of data to work with, and the kind of test used to determine significance is not the same across the board, but in this case you can do an analysis of variance. Start with a null hypothesis that the happiness level between distros are insignificant, and the alternative hypothesis is that they’re not. Here are the assumptions we have to make:

• An alpha value of 0.05. This is somewhat arbitrary, but 5% is the go-to threshold for statistical significance.
• A reasonable sample size of users tested for happiness, we’ll go with 100 for each distro.
• A standard deviation between users in distro groups. This is really hard to know without seeing more data, but as long as the sample size was large enough and in a normal distribution, we can reasonably assume s = 0.5 for this.

We can start with the total mean, this is pretty simple:

 (6.51 + 6.71 + 6.74 + 6.76 + 6.83 + 6.9 + 6.93 + 7 + 7.11 + 7.12 + 7.26) / 11 = 6.897

Now we need the total sum of squares, the squared differences between each individual value and the overall mean:

Arch:  (6.51 - 6.897)^2 = 0.150
Fedora:  (6.71 - 6.897)^2 = 0.035
Mint:  (6.74 - 6.897)^2 = 0.025
openSUSE:  (6.76 - 6.897)^2 = 0.019
Manjaro:  (6.83 - 6.897)^2 = 0.005
Ubuntu:  (6.9 - 6.897)^2 = 0.00001
Debian:  (6.93 - 6.897)^2 = 0.001
MX Linux:  (7 - 6.897)^2 = 0.011
Gentoo:  (7.11 - 6.897)^2 = 0.045
Pop!_OS:  (7.12 - 6.897)^2 = 0.050
Slackware:  (7.26 - 6.897)^2 = 0.132

This makes a total sum of squares of 0.471. With our sample size of 100, this makes for a sum of squares between groups of 47.1. The degrees of freedom for between groups is one less than the number of groups (df1 = 10).

The sum of squares within groups is where it gets tricky, but using our assumptions, it would be:

number of groups * (sample size - 1) * (standard deviation)^2

Which calculates as:

11 * (100 - 1) * (0.5)^2 = 272.25

The degrees of freedom for this would be the number of groups subtracted from the sum of sample sizes for every group (df2 = 1089)

Now we can calculate the mean squares, which is generally the quotient of the sum of squares and the degrees of freedom:

# MS (between)
47.1 / 10 = 4.71  // Doesn't end up making a difference, but just for clarity
# MS (within)
272.25 / 1089 = 0.25

Now the F-statistic value is determined as the quotient between these:

F = 4.71 / 0.25 = 18.84

To not bog this down even further, we can use an F-distribution table with the following calculated values:

• df1 = 10
• df2 = 1089
• F = 18.84
• alpha = 0.05

According to the linked table, the F-critical value is between 1.9105 and 1.8307. The calculated F-statistic value is higher than the critical value, which is our indication to reject the null hypothesis and conclude that there is a statistical significance between these values.

However, again you can see above just how many assumptions we had to make, that the distribution of the data within each group was great in number and normally varied. There’s just not enough data to really be sure of any of what I just did above, so the only thing we have to rely on is the representation of the data we do have. Regardless of the intentions of whoever created this graph, the graph itself is in fact misrepresent the data by excluding the commonality between groups to affect our perception of scale. There’s a clip I made of a great example of this:

There’s a pile of reasons this graph is terrible, awful, no good. However, it’s that scale of the y-axis I want to focus on.

This is an egregious example of this kind of statistical manipulation for the point of demonstration. In another comment I ended up recreating this bar graph with a more proper scale, which has a lower bound of 0 as it should. It’s suggested that these are values out of 10, so that should be the upper bound as well. That results in something that looks like this:

In fact, if you wanted you could go the other way and manipulate data in favor of making something look more insignificant by choosing a ridiculously high upper bound, like this:

But using the proper scale, it’s still quite difficult to tell. If these numbers were something like average reviews of products, it would be easy in that perspective to imagine these as insignificant, like people are mostly just rating 7/10 across the board. However, it’s the fact that these are Linux users that makes you imagine that the threshold for the differences are much lower, because there just aren’t that many Linux users, and opinions wildly vary between them. This also calls into question how that data was collected, which would require knowing how the question was asked, and how users were polled or tested to eliminate the possibility of confounding variables. At the end of the day I just really could not tell visually if it’s significant or not, but that graph is not a helpful way to represent it. In fact, I think Excel might be to blame for this kind of mistake happening more commonly, when I created the graph it defaulted the lower bound to 6. I hope this was helpful, it took me way too much time to write 😂

Just to kind of demonstrate that idea, I’ve recreated the graph in Excel with the axis starting at 0. I think Excel might actually be to blame for this happening so much, its auto selection actually wanted to pick 6, gross.