82_VOL_83
Nickleback Rockstar!
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In 2012, the US was second in total CO2 emissions. Interestingly, we had about half as much as China, but over twice as much as India. Our emissions per capita blow there's out of the water though.
Reading some forums, it looks like it must happen. People report 49-52 mpg at 72-73 mph with a loss of 0.5-1 mpg every mph over that. So, 40 mpg at 80 mph seems feasible. I have no firsthand experience.
Hmmm, how much have we decreased our output as compared to other countries? Seems I have seen reports that say we have done a hell of a job while others are still on the increase.....like China, the EU, and India. China's is going through the freaking roof. So where is the advantage in ruining our economy which gives us absolutely NO hope in eventually creating better technologies to reduce and eliminate CO2 output while other countries don't give a **** and keep growing their economies? I don't see the upside to that.
But what exactly is stupid about probability models?
What IS a probability model to you?
All probability models are to me, is a best educated guess on what will happen, given the accuracy of data sets they enter into the probability model. To me, forecasting this stuff 50 years into the future is foolish. We have so many things that those bright minds could be tackling right now, but instead the focus is on GHG and the effect or non-effect of what they might have down the road. It just seems like an awful waste of highly intelligent people's time.
In my opinion there is nothing stupid about a "probability model". It is a tool like any other model. In fact, it IS any other model. The difference is that probability distributions for inputs, or discrete different values for inputs, are placed into the model, which produces a range of outputs that are assigned probabilities based on frequency of outcome. It is really a way you choose to run the model when faced with uncertain inputs.
As for the comments about forecasting things out 50 years - climate models are not weather models. They aren't taking weather models and just running them out 50 or 100 years. The detail of the physics that are included/captured are different and what is asked of the model as far as outputs is different. The granularity is also very different.
WHAT is the correlation then? Just saying they are related just means there is a correlation. I am asking you what the correlation is? After your "As a result" sentence, you begin to jibber jabber as Sheldon would say.
Hmmm, how much have we decreased our output as compared to other countries? Seems I have seen reports that say we have done a hell of a job while others are still on the increase.....like China, the EU, and India. China's is going through the freaking roof. So where is the advantage in ruining our economy which gives us absolutely NO hope in eventually creating better technologies to reduce and eliminate CO2 output while other countries don't give a **** and keep growing their economies? I don't see the upside to that.
My man
No, not now, not ever.
A correlation is when two variables have a similar trend
No, it isn't. Go back and get your dictionary out.
As co2 emission has increased, global temperatures has increased as well. I then began to say corration does not prove causation in its basic form, but when attributing prior knowledge to the variables interaction with one another, it becomes easier for scientist to make an argument for causation.
Blah blah blah again and again.
My man. A correlation is when two variables have a similar trend. As co2 emission has increased, global temperatures has increased as well. I then began to say corration does not prove causation in its basic form, but when attributing prior knowledge to the variables interaction with one another, it becomes easier for scientist to make an argument for causation.
When you can come up with a probability model that will predict the weather for a week with better than a 50% chance of being right I will trust your predictions for 50 years from now. But until then, learn to walk before you fly.
What does that even mean?
Perhaps "only obvious to someone who knows anything about modeling" would have been appropriate.
It means you're the product of herd mentality. Its not obvious climate fluctuations can be predicted with probability calculations. Maybe you don't have a clue what the inputs to the algorithms should be. If you did maybe you'd have a better track record.
Any model is sensitive to its inputs. Thus the obvious. This has nothing to do with herd mentality. It has everything to do with understanding how models work.
Any model is sensitive to its inputs.-correct
Thus the obvious.-incorrect
This has nothing to do with herd mentality.-incorrect
It has everything to do with understanding how models work.-incorrect
