Cross-entropy is not the KL divergence. There is an additional term in cross-entropy which is the entropy of the data distribution (i.e., independent of the model). So, you're right in that minimizing one is equivalent to minimizing the other.
The first slide makes the disclaimer that one is not "able to identify if an event was due to climate change", only likelihoods of certain events occurring under various conditions. People might treat those two things the same due to our mental heuristics, but they are not.
Obamacare won't fix it because it's a gutted compromise. Universal healthcare (which is the only way to get around private insurers not paying out, and not tying healthcare spending to income) is a non starter in this country and it's entirely due to one political faction. It's accurate to blame them for this.
Those colleagues were very wealthy by Indian standards to begin with and have only increased their purchasing power by being abroad. India does in fact have free care at government facilities and they are certainly not "low overhead and high skill". I'd pick rural American healthcare over rural Indian healthcare 10 times out of 10.
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