Libertarians and mentally speed-running the invention of the nation-state: an iconic duo.

The individuals will get taxed on capital gains afaik. We could also tax unrealized gains (just like we do gains on property)!

IIRC these concepts are more relevant in a service-based economy.

In the Middle Ages, _land_ was the primary source of economic value. Fewer people means more land per person, therefore more wealth per person.

What makes left joins perform poorly in Snowflake?

Well part of the benefit is rapid development; it's mind-boggling how quickly someone can stand up a dbt project and begin to iterate on transforms. Using Python/SQL/JSON (at small/medium) scales keeps the data stack consistent and lowers the barrier to entry. No reason to prematurely optimize when your bottleneck is the modeling and not the actual data volume.

dbt and ELT in general are such a game-changer for allowing rapid iteration on business logic by data analysts; the feedback loop feels much more like "normal" software engineering compared to legacy systems.

When will an ORM be available?

Still not sure whether this is serious or not, but it's not really infrastructure as SQL, it's infrastructure as database records which is stateful and defeats the point.

It's using an implied cross join so each image is deployed onto a t2.micro

IMO if you have to lie, you've already ceded the moral high ground.

tl;dr just ignore it?

Nobody uses HN because it's an amazing piece of software.

I think that's his point; that 5% returns aren't actually that great.

The rate of return on investments is proportional to the risk and/or effort necessary to make it work. Contracting out the management of things like condos, vending machines, etc. destroy the vast majority of any gross profit. Investing in a large-cap, high-dividend mutual fund (Vanguard, etc.) will generate reasonable returns with 0 effort on your part. Just cash out your dividends rather than re-invest.

Because it's easier for the average developer to follow Python code? This is a tutorial/demo, not a library.

Literally any analyst or data science job related to growth or user engagement on social media.

https://research.fb.com/category/data-science/