Posted by Robin on 15/08/2022 10:42:00:
Posted by blowlamp on 15/08/2022 10:11:47:…
If you really want the answer to that you cannot be advised because the world has divided into factions and all you will get is propaganda.
To find the truth you have to go on a personal quest 
And therein lies the problem. The debate isn't comparing like with like.
Science rejects personal quests because everyone is biased. Instead science exposes data, methods, results and conclusions to critical review, a wide sharing process that improves quality because everything is tested. Quite different to gut-feel, common-sense, assertions, opinion, beliefs and political thinking. These can be right or wrong, but their conclusions are untrustworthy because they don't require evidence.
Robin's statement 'you cannot be advised because the world has divided into factions and all you will get is propaganda.' captures the issue:
- Whether or not the world is divided into factions can be confirmed by measurement. This part of the statement can be evidenced one way or another, and therefore has a much higher value than the next bit.
- 'All you will get is propaganda', can't be measured and tested. This is personal opinion, an assumption that conveniently supports Robin's general argument if true. But no data supports it, and never will. Might be right or wrong, but the guess is worthless because no-one can ever know. Robin saying it confidently and others agreeing with him doesn't help. As the rules of evidence are broken 'All you will get is propaganda' can't expose a truth or falsehood.
In science, it's important to keep the need for evidence in mind and to ruthlessly ignore unsupported conclusions. Global Warming isn't the sort of political issue where feelings and emotions have a valid part to play. Global Warming follows physical laws and no amount of wishful thinking will divert them. Scientific methods are far more likely to get the right answer than common-sense, and it's important to get this problem right.
A number of posts criticise climate modelling. Fair enough thirty years ago, but time marched on. Turns out what the models predicted back then for now was about right. Critics back then said models were rubbish, yet models got closer to reality than they did! Someone goofed. Anyway, I suggest it's safer to trust models producing successful predictions than folk who got it wrong and haven't noticed yet!
Dave