Geoengineering, Space Tech, And Societal Risk

Some interesting thoughts from Oliver Morton (who I unfortunately missed having lunch with in London last week, maybe next time):

AI worries people more, but geoengineering seems pretty well placed in second place. (Incidentally, what’s up with space as the top societal risk enhancer? If AI takes the laurels in terms of economy, geopolitics and tech, how come space outdoes it in the exacerbation of societal risks? A mystery for another time…)

Indeed. I have some ideas, and that some it arises from ignorance and too much bad SF in television and movies, but I’ll let the commenters have at it.

Pity Eric Holthaus

He’s having a climate meltdown. Which reminds me: Did he ever get that vasectomy?

[Update mid morning]

Solar Power

It’s getting more cost effective, but it will always need load leveling. But I found this amusing:

Looking even further ahead, if we want a stable climate, humanity must bring net carbon emissions to zero.

There is no good reason to believe bringing net carbon emissions to zero is either a necessary or a sufficient condition for a “stable climate.” This planet has never had a stable climate, and it’s delusional to imagine that we know how to give it one now.

Speaking of which, Professor Curry has some thoughts on “skin in the game.”

If you are a weather forecaster in the private sector, you will quickly lose your clients if your forecasts are consistently wrong. Daily forecasts are evaluated daily; seasonal forecasts are evaluated several times each year. Clearly weather forecasters have skin in the game in terms of their forecasts.

With regards to climate projections, the predictions being made now will be irrelevant in 2100, which is their target prediction date. In fact, the forecasts become obsolete every 5 years or so, as new model versions are implemented. Recent attempts to evaluate climate model projections in CMIP5 during the early 21st century have shown striking discrepancies between model projections and observations.

Defenders of the climate models and climate model projections argue that climate models shouldn’t be expected to verify on decadal time scales.

In other words, climate modelers have no skin in the game in terms of losing something if their forecasts turn out to be wrong. In fact, there is actually a perversion of skin in the game, whereby scientists are rewarded (professional recognition, grants, etc.) if they make alarming predictions (even if they are easily shown not to comport with observations).

Let’s give them more money!

Biting Commentary about Infinity…and Beyond!