1) reducing the ability to profit off of actions that cause environmental damage thereby aligning the market interest to reduce such actions
2) funding the investment in reversing the damage
whereas your suggestion above is doing literally nothing to help…
https://en.wikipedia.org/wiki/Intergovernmental_Panel_on_Cli...
I really think that the possibility of obtaining the wrong conclusions are much higher than getting it right, yet the consequences of putting a ton of restrictions is really harmful for many people, especially in developing countries.
Maybe you could compare it to dice. It's very hard to predict on what number a dice is going to land. But if you throw it a lot of times, you'll eventually start to see the distribution converge somewhere. And when you then take a drill and make a hole in the side of the dice, or glue something to its side or whatever, and then throw it a lot of times again, you'll see that the distribution changes. Also, you can make reasonable statements about those developments. "If I make it heavier on the side opposite six, I think I'll start seeing more sixes, because the side opposite is pulled down more by gravity". You don't need to be able to predict the short-term outputs of a system to see changes in its long-term trends, and you can absolutely reason about and possibly predict those long-term changes.
I think it is a really difficult thing to guess. And anyways, even if it is not, how can you stop it if China, India and US say no to it bc there is no current technology to replace?
We could be in the situation where a lot of restrictions are set and later the guess is wrong. More expensive energy means putting a ton of people back into poverty, literally.
What it predicts for developing countries is disaster, which we already see. More droughts in the summer combined with floods in spring/autumn.
This leads to food insecurity and ecosystem disruption, which will be more harmful than not doing anything.
Weather is hard to predict short-term, but the long-term trends (i.e. climate) are visible.
But the dice experiment is: one leaves variables out of the model bc of its overwhelming complexity for what we know so far.
No, I do not buy this, vote me negative but I do not. If it was true, the weather forecast should be guessable.