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pglpm,
@pglpm@lemmy.ca avatar

Question: can this be done via a graphical interface (eg like software-properties-kde in (K)ubuntu)?

pglpm, (edited )
@pglpm@lemmy.ca avatar

Usual question behind this kind of stats: what are the sources? I’m tired of having to believe stuff that appears on the net just by faith.

Not Eating Enough of These Six Healthy Foods is Associated with Higher Cardiovascular Disease and Deaths Globally (academic.oup.com)

Consuming fruits, vegetables, legumes, nuts, fish and whole-fat dairy products is key to lowering the risk of cardiovascular disease, including heart attacks and strokes. The study also found that a healthy diet can be achieved in various ways, such as including moderate amounts of whole grains or unprocessed meats....

pglpm, (edited )
@pglpm@lemmy.ca avatar

It’s sad that they keep using flawed statistical methods in these studies…

Correction: as @Gaywallet points out, they also use other statistical methods within the paper!

pglpm, (edited )
@pglpm@lemmy.ca avatar

P-values-based methods and statistical significance are flawed: even when used correctly (e.g.: stopping rule decided beforehand, various “corrections” of all kinds for number of datapoints, non-gaussianity, and so on), one can get results that are “statistically non-significant” but clearly significant in all common-sense meanings of this word; and vice-versa. There’s a constant literature – with mathematical and logical proofs – dating back from the 1940s pointing out the in-principle flaws of “statistical significance” and null-hypothesis testing. The editorial from the American Statistical Association gives an extensive list.

I’d like to add: I’m saying this not because I read it somewhere (I don’t like unscientific “my football team is better than yours”-like discussions), but because I personally sat down and patiently went through the proofs and counterexamples, and the (almost non-existing) counter-proofs. That’s what made me change methodology. This is something that many researchers using “statistical significance” have not done.

pglpm, (edited )
@pglpm@lemmy.ca avatar

There’s still a lot of debate around this topic. It’s obviously difficult for people who have used these methods for the past 60 years to simply say “I’ve been using a flawed method for 60 years” – although in the end that’s how science works. The problem moreover is double: the method has built-in flaws, and on top of that it’s often misused.

Some starters:

What’s sad is that these discussions easily end in political or “football-team”-like debates. But the mathematical and logical proofs are there, for those who care to go and read them.

pglpm,
@pglpm@lemmy.ca avatar

Yes I’m talking about p-values. Statistical “significance” is based on p-values.

pglpm,
@pglpm@lemmy.ca avatar

My pleasure!

pglpm,
@pglpm@lemmy.ca avatar

Not only that, it also gets it partly wrong. According to the International Standard Organization, the unit of , while bit is the unit for storage.

Do any modern desktop environments support a grid layout of virtual desktops?

Greetings, I come as an Ubuntu/Unity user and what has kept me around is the wonderful support for a 3x3 virtual desktop setup and hotkeys to move around the desktops in 2d space. Does anything like this exist in any of the modern DE’s? I would love to try it out with cinnamon, plasma, gnome etc but there are so many and I...

pglpm,
@pglpm@lemmy.ca avatar

Confirming: KDE/Plasma has it natively. You can configure number of rows and columns, whether movement should be cyclic or not, and shortcuts to change desktop and to bring windows to other desktops. You can create and remove new virtual desktops on the spot by right-clicking the tray icon. Also shortcuts to get an overview of all desktops at once.

KDE also has a slightly different way of separating workspaces: “Activities” (which can co-exists with virtual desktops); although I don’t use it.

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