As a parent of a kid that has special needs (at a minor level), there really is a separate set of skills needed to teach to these kids, as well as needing a better student teacher ratio. It made a huge difference for my kid.
Correct but the point is that the salaries of the developers are not treated as an expense to net out, they are treated as an asset that depreciates over some period of time.
(Even though some "developer" work might be day to day maintenance, rather than building a new feature.)
- How do they take a business problem and model it into code
- How do they debug their own code
- Is their code easy to read
- Do they name their variables/fields/methods/classes in easy to understand and consistent ways or are the names confusing or inaccurate
- How do they take constructive criticism
- How collaborative are they
- Do they think about the problem first or do they just start hacking away
- When asked to add a feature to existing code, do they start hacking or do they write out a test describing the new functionality first
- When confronted with vague requirements, how well do they ask questions to get the information they need
- How much experience do they have with algorithms, database design, systems design, building things so they scale well
True but there has been a movement towards replicating these high profile findings in the soft sciences. Hopefully that will gain more traction as a lot of the "newsworthy" studies are forced to get retracted after failing to replicate.
My hot take: this is actually really good (and would be fantastic if all the big tech followed suit).
Why? Imagine a world where big tech was cool with remote workers. They would be able to out-pay and acquire all the best talent, everywhere.
With this self-imposed restriction, this leaves a big pool of high end talent able to be recruited by smaller start-ups who ordinarily wouldn't be able to compete on comp, benefits, and stability.
If you're talking about small scale phenomena (less than 1km), then this wouldn't help other than to be able to signal when the conditions are such that these phenomena are more likely to happen.
It's been a while since I was a grad student but I think the raw station/radiosonde data is interpolated into a grid format before it's put into the standard models.
One piece of context to note here is that models like ECMWF are used by forecasters as a tool to make predictions - they aren't taken as gospel, just another input.
The global models tend to consistently miss in places that have local weather "quirks" - which is why local forecasters tend to do better than, say, accuweather, where it just posts what the models say.
Local forecasters might have learned over time that, in early Autumn, the models tend to overpredict rain, and so when they give their forecasts, they'll tweak the predictions based on the model tendencies.
I would think heavy metals would be a much bigger issue wrt water contamination from a health point of view.
Not that the anaerobic sludge is great, but I would rather see a bigger push to recycle used electronics.
As far as methane, am in total agreement there. It's probably even better to incinerate paper products (if you are not in a subtropical region like LA).