> The art market is going nuts. People are spending record amounts of money of paintings like Leonardo da Vinci's Salvator Mundi. But not everyone is rushing home to hang their new artwork up on their walls. A lot of buyers are storing their art in vast warehouses near airports. They're called, "freeports."
> Freeports exist between countries, a sort of no man's land, which means you can store your artwork there as long as you want, without having to pay any taxes on it.
> Where are these freeports? How do they work, and are they even legal? Today on the show, we try to find out.
There are many problems with your argument, but I’d like to focus on the fact that your understanding of the definition of The Patriarchy is wrong.
From Wikipedia[0]:
> Patriarchy is a social system in which men hold primary power and predominate in roles of political leadership, moral authority, social privilege and control of property.
How many female presidents have we had here in the USA? What percentage of Fortune 500 CEOs are women?
You're getting dangerously close to describing continuations. And I think it's important to remember that just because a programming language doesn't give you access to a data structure, it doesn't mean it's not using it under the covers. The call stack is a data structure in all programming languages, only a few provide you with easy access to it.
Applying De Morgan's laws to fix how to determine if you're in or not then yields:
say the wrong thing AND do the wrong thing
I would also like to point out that an ability of your parent poster clearly stood out, that of making themselves memorable. Hiring is a multivariate problem, focusing on just one of those variables could be the most broken solution within the space.
Jobs created the Mac, and the iPhone. I just recently went back and re-watched the original iPhone keynote, and I believe this is very much a theme of what he was saying on stage.
Making something new, at world class quality, is incredibly difficult.
N-body simulation made with Python, parallelized with numba, and animated with matplotlib.
N=100.000. Computation time around 5h for 2.000 steps. Around 1s of compute time per step. Collisions are handled with a softening length.