Disclosure: Didn’t read. But I did always get heckled at gatherings for inverting my controls, and then forgetting to switch them back. I think it came from whatever console you started with first (Sega Saturn), if you played early PC joystick games (Tie Fighter!), and Goldeneye’s Solitare configuration, which allowed deadly accuracy without needing to invoke the crosshairs.
This is specifically mentioned in the article as the common reason given, but that it is wrong. People think this is why, but then they study them and it’s an innate difference.
It's not as simple as whatever this article says. I can play inverted and regulary and have played games throughout my life in both ways. So it's not simply an "innate" difference.
It's preference, and people can easily learn the difference if they played for 10 mins. It's easy to get used to.
This is probably the right answer. Similar to "dont fight the police on the street, fight them in court". Can even quiet-quit during the project if you need to.. software can take an awfully long time to build..
Also, track your time during the work. And keep all correspondance. Paper trail, paper trail, paper trail.
Yes, very clever. Have them deliver the diploma while you deliver the software... ever...so...slowly... and then, charge for consulting fees to make it work after you graduate!!!!
I imagine Finland's would be similarly branded a disaster if the present-day internet/social media megaphones had existed..
History books on 1945 aggressive monetary policy change: "The public didn't like it"
History books on 2025 aggressive monetary policy change: "The public went frigging bananas, doxxed their leaders, coordinated widespread disobediance on the scale of GME, etc"
(Granted I live in the US, and that's putting it mildly how the US would react)
I think you are 100% spot-on. Good enough has always been fine for the vast majority of people and the vast majority of use-cases.
Couple this with decreasing costs of storage (and ideally compute), and it doesn't matter if the data model is garbage, people can still get something workable that's better than the awful Excel files they curate now. It will still make errors, but eventually fewer than their spreadsheets.
There is no "good enough" for data modeling. There is correct, and there is "this works, but it has latent bugs that will eventually surface." You either have referential integrity, or you don't.
In college, in a music class (History of Jazz maybe?), I had to miss an exam, and the professor assigned me an essay to make up for it: Life and impact of Django Reinhardt, minimum of 10 pages (back in the "12 point font, Times New Roman" days).
This was in the early '00s, and hand-over-heart, there was less than 10 pages _on the internet_ about Reinhardt. The collegiate library was not much more help.
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