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I do think it is a preference thing, but I also believe not all eyes are the same. I am myself visually impaired, and it is _so much_ easier to read a screen in dark mode. That is likely a different experience with healthy and eyes, but not all healthy eyes are the same either.


Maybe not quite as comfortable, but you could - as an axample - configure one of the left thumb keys as a layer switch, and then define the corresponding layer such that the right hands home row acts to move the mouse pointer.


On the other hand, why do so many highly skilled people push themselves so hard? I do not have any stats, it's just an observation looking at all the people in my environment, and then some public exponents.

I've grown up in a family where there was always enough, yet not much in excess. Most grown up people I knew in my childhood would probably complain that they would want more, yet they mostly just did their job, had enough and enjoyed their family life. That is also true for some of the people I later met at university and then in business, but I get the impression that quite a lot of them, even though they have much better jobs than the people from my childhood, invest a lot of their free time trying to pursue their goal. And it is extremely rare that I see someone actually reaching it. It is far more often that their life becomes a lot more miserable, think divorce or similar.

Now don't ge me wrong, I think pursuing ones goals can be extremely valuable. But for a lot of people, pursuing a goal and trying to be productive with it while at the same time being married, raising kids, earning money, staying healthy and doing chores is most likely not going to lead anywhere good. So why is it so hard for smart people to accept that fact, and enjoy one or two hours of lazyness every day? Why do people take Elon Musk as an example, if even he himself decribes his life as not too nice?


> On the other hand, why do so many highly skilled people push themselves so hard?

In this day and age, being productive is considered a virtue.


In most countries, if you die having COVID, and you cant exclude COVID as being the cause, you are included in the COVID death count. In russia, if you die having COVID, but yoy also have any other sickness that could be the cause of death, you are not included in the COVID death count.

While the former overestimates, the latter underestimates. I dont have any reference to prove it, but my gut feeling tells me that the latter is probably even further away from the true number than the former. In any case, they are absolutely not comparable.


The best statistical tool we have to figure out the real death rate due to COVID is excess mortality, and these numbers have been higher even than the seemingly overattributed numbers.

There are still a bunch of people who die and don't get attributed, and there are people who die because there's a pandemic on and they don't get healthcare as a result, either because there isn't capacity or to avoid infection.


They simply need masks to protect their patients. They can never be sure that they themselves are not infected, and they treat a lot of severly ill (non COVID-19) patients in hospitals. If they spread the virus, those patients are at very high risk.


If that were true, all the medical professionals in America would already be infected.

Proper use of PPE very much decreases your chances of infection.


What comes to my mind is the Eclipse Modeling Framework. It's not exactly light-weight, but it always worked pretty well for my use cases. Throw a model at it (XML schema, annotated Java, ...) and it generates a Java implementation including a tree-based editor; certainly good enough for prototyping purposes.


I'm curious about your use cases, as I do not seem to find much information about model-driven development out there. Can you elaborate a little bit more about what you do with EMF?

I'm asking this on the perspective of someone who is about to teach model-driven software engineering for a semester but cannot find much pratical use for it..


For those interested in the topic, there's a really good book (also available as audiobook) that covers this in some depth, "Thinking, Fast and Slow" by Daniel Kahneman.


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