| Irace86.2.0 |
08-30-2022 06:02 PM |
Quote:
Originally Posted by chipmunk
(Post 3544364)
I will summarize: taking a 150-160 year sample data in light of thousands of years of data is extremely short-sighted. It's borderline manipulative, especially because the previous thousands of years didn't just not have a correlation, but had the reverse causation.
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So then stop wasting our time if there is no amount of evidence that can demonstrate a causal relationship because, for you, enough time has not passed. Why even get into a debate if 150 years is too short of a timeline to show a causal relationship?
Well, if we were dumping 1000x the amount of GHGs and the temperature was going up 5 degrees each year then that might shorten your timeline, but for you, the changes are too slow and the GHGs are too few to matter on a 150 year timeline. Okay, then just say that and begone with the debate instead of stringing everyone along on a pointless exercise with no end in sight. This is why Spuds was trying to tease out your standards and why asked what was your timeline for your long-term criteria because we both knew that we would be wasting our time with pointless errands fetching data when the data doesn't exist because the event has been too brief for your criteria.
The last time the CO2 was 420+ppm, the world was 8-10+ degrees F warmer than it is today. At 1000ppm, the earth was 25+ degrees warmer. That is the average, and the extremes are worse. Maybe rising CO2 now won't cause the same temperature that correlated to the CO2 in the past, which is probably why the models are more conservative with their temperature estimates. Regardless, most people don't want to wait around to see what happens when CO2 levels get to 500+ and take a chance with what the temperature could be like. We use to add 1ppm/year, but it is at 2.37ppm/year. That rate is rising too. Even if the rate stayed flat, in fifty years we would be around 550ppm. In 200 years we would be at 1000ppm, assuming this didn't kick off a feedforward effect.
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