The article is comparing 2 scenarios that have other explanations: a fire sale of a large fleet and Tesla which has an image problem because of its leadership.
I’m not saying the article is wrong I’d just like to see broader representation (Chevy bolt, lucid air, etc).
Worse than that, the main vehicle it compares everything to is the Model Y. There may have been one or two things related to Tesla this year, and not other EVs, that might have hurt resale values for some reason...
A vocal minority are freedom loving. A significant number are hooked on consumer debt. I feel like any sweeping generalization is going to be wrong… especially when referencing the USA which is basically 50 countries and has a population exceeding all of Western Europe.
> especially when referencing the USA which is basically 50 countries and has a population exceeding all of Western Europe.
Germany is basically 16 countries (federal states [Bundesländer]). Europe is a whole countinent - here a suitable American analogue miht be USA+Canada+Middle America. Or if we talk about the EU, a suitable analogue would be NAFTA (the EU also started as a set of free trade agreements).
And they counted an even lower percentage of Eurasia. It might matter for a given conversation. It might not. What's your point (i.e., what are you actually trying to ask)?
> I am a backend developer using Spring Boot and Java.
If your goal is speed to market use what you know which is Spring Boot and Java.
If your aim is to learn something new then go with Django or sprinkle in some Kotlin incrementally (eg tests). I don’t think it’ll matter in the long run which you choose.
Conflating I want to learn something new with I want to deliver quickly will give you a suboptimal outcome for both.
Feels like a bad point in the curve to try and sell them. “Oh our internal hypecycle is done… we’ll put them in the market now that they’re all worn out.
I find it mildly devious when numbers are inflated by changing the period from seconds to days.
Aeron and NSQ have slightly different design principles. Which can easily be identified in their feature list. Aeron’s origins are exchanges for fintechs and focus on predictable low latency with a tight standard deviation. NSQ puts heavy emphasis on being a distributed broker less message queue. Performance alone probably isn’t a good basis to measure their utility.
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