I am a research scientist (computer science) with a mathematics background. Most of what I do is in and around the area of modeling. All serious modelers know that all models are flawed. Some are better than others and some might be good enough to be useful. By definition, a model is an approximation of a system. I have decades of experience working with research scientists who have attempted to model complex systems. Once the complexity of the system gets beyond a certain point, models tend to become useless. I can't prove it, but I think that is what is happening with climate models. There are simply too many variables with too many unknown interrelationships that prevent us from accurately modeling something as complex as our climate system on a planetary scale.
As an aside, I can create a computer model that shows CO2 is beneficial in under 1 minute, but it will be flawed. The structure and interpretation of every model reflects the mindset of the modeler. That is a kind of scientific bias and I see it in the interpretation of the climate models on an ongoing basis.
I also work with complex computer models on a daily basis. You should know that to deal with the inherent uncertainty in models it's very common to do a sensitivity analysis to see how sensitive the results are to variations in parameters and inputs. It's a way to gain confidence in your results. The climate scientists have done this, and shown that even with changes to the models they still predict the same overall conclusions, just the magnitudes of some of the results vary.
(The rest of this post isn't related to your post jgvergo)
I think everyone needs to step back and put themselves in the climate scientists shoes. As an engineer I would be furious if someone took my data and misrepresented it for political or monetary gain. The 1000's of guys or gals researching the climate at nasa or university xyz who have all reached similar conclusions aren't sitting there thinking "if I just modify my data to show whatever person xyz wants I'll get more research money" or anything along those lines. They care about the accuracy of their data and predictions, and bettering society with their information. People are insinuating that the scientists are blurring ethical lines on a massive scale, or are wrong, and neither is happening.
I would also be furious if some Joe Schmo off the street came in to my place of work with no training or knowledge on the subject and started telling me I was wrong, didn't know what I was doing, or politically motivated. Personally I feel disappointed in the lack of respect for the science and these professionals.
Overall I also think people and society as a whole are having a hard time fathoming what these predictions actually mean. They don't understand was a 3 to 12F average temperature increase in the U.S. by 2100, or a 3 foot increase in sea level means.
