Interesting read, but I feel like the author could've spent just one more minute on this sentence. How good you are at given activity often doesn't matter, because you're mostly going to encounter people around your own level. What I'm saying is, unless you're at the absolute top or the absolute bottom, you're going to have similar ratio of wins to loses regardless whether you're a pro or an amateur, simply because an amateur gets paired with other amateurs, while a pro gets paired with other pros. In other words, not being the worst is often everything you need, and being the best is pretty much unreachable anyway.
This can be very well extended to our discussion about SWEs. As long as you're not the worst nor the best, your skill and dedication have little correlation with your salary, job satisfaction, etc. Therefore, if you know you can't become the best, doing bare minimum not to get fired is a very sensible strategy, because beyond that point, the law of diminishing returns hits hard. This is especially important when you realize that usually in order to improve on anything (like programming), you need to use up resources that you could use for something else. In other words, every 15 minutes spent improving is 15 minutes not spent browsing TikTok, with the latter being obviously a preferable activity.
Now scale that up 10x, because reality is at least an order of magnitude more complex than a video game.
And it's very easy to forget when you're the guy going to the club just how bad most regular players are.
I'm in a table tennis club, my rating is solidly middle of the pack, and so I see myself as an average player. But the author is correct, I would destroy any casual player. I almost never play casual players, though.
Not sure how applicable this is to software engineering.
Continues to apply