In this post-truth era it's strangely apt that confabulation in particular happened to be a major failure mode of our shiny new AI tech. Almost too apt for it to be a mere coincidence…
What I meant is that there's a specific use case for the rejection sampling algorithm, namely computer graphics, and in that use case the asymptotic behavior is irrelevant because n will never not be 3. What is relevant is that the algorithm is more obvious to non-statisticians than Box-Muller, and Marsaglia's variant in particular is also more efficient. Sqrt, ln, and sincos aren't particularly fast operations even on modern hardware (and the latter two aren't SIMDable either), whereas generating uniform variates is almost free in comparison.
Usually you fix it by moving your point through a different colour space. Choice depends on your requirements and mediums you're working with (normally different types of light sources or screens).
I had to write a low level colour interpolation librar for a few interactive art projects, so I dipped a bit into this, but I'm no colour expert
Coal is in a scary place right now in the US, see this as an example:
https://www.reddit.com/r/antiwork/comments/1mmqwd3/i_live_in...
Basically coal is less profitable and more expensive in places that have always been coal counties. The only thing to do in these areas is mine coal, so the concern is that entire regions will be rendered worthless if coal collapses.
Which means local residents cannot sell their homes without taking significant losses, and they probably lose their jobs in coal, which manifests into a poverty trap for the entire town.
And there are hundreds of these towns all through Appalachia.
So renewable energy will always be a political issue over the next 50 years, because entire towns and regions depend on its political outcome.