Provide one shred of evidence to support that absurd claim.
Modern physics. First, we had centuries of classical physics. That turned out to be fundamentally wrong. Now we have quantum and relativistic physics, both of which we know are inadequate and contradictory and neither of which we can do without.
When a scientific paper is written, it provides evidence, but evidence in the scientific community is almost never viewed as "proof" since we always keep our eyes open for other pieces of evidence that might alter and even refute previous evidence
When a scientific paper is written, is it written inline with some theoretical framework. These have become more and more complicated, contradictory, and self-supporting in the past 100 years as sciences have become more diverse and specialized.
However, the lay media often reports certain evidence as "proof" of whatever, which can indeed be misleading.
Preaching to the choir. I never read media reports of research unless I am asked to by someone who is usually asking me to tell them if there is anything to it or not. I read the research. It's the only way to have any real idea about what's going on in some field.
It's maybe a "game" to you, but certainly not to those who actually know what's possibly at stake.
I've spent years and years reading hundreds of thousands of pages from volumes, papers, reports, and more. It's not a game. It's a quagmire.
You're conflating two things: research (models) and projection models.
"All climate models need observed values for part of their input, especially in order to specify the boundary conditions, and all require observational data with which to compare their results. Some variables, such as surface pressure, are available worldwide and pose only the problem of evaluating the accuracy of the observed dataset. Others, however, are sparse in either time or space. Knowledge of sea ice extent is largely dependent on satellite observations, so that there is only a short observational record and, although satellites offer information on extent and concentration of sea ice, there is little they can say about ice thickness. Thus it is difficult to compare such observations with any long-term average values obtained from models. As modellers include ever more sophisticated components of the climate system in their experiments, there is a growing need for information on other parameters for validation of models. One particular example is soil moisture. The term could mean all the water in a soil column (which might, technically, include large reserves of groundwater not accessed by the biosphere) or might be limited to the amount of water accessible to the biosphere (possibly termed available soil water). There is no consistent definition between different modelling groups and no validation set comparable to traditional observations of pressure and temperature. There is still much to be done in the field of model validation."
McGuffie, K., & Henderson-Sellers, A. (3rd Ed.) (2005).
A climate modelling primer. Wiley.
There is no clear distinction between climate ("research") models and projection models. Projection models are just the central type of climate models run forward. Climate change theory is built around the idea of running observational models back in time. That's how we get the only thing about GHG increases that makes us worry: feedbacks. Without a large positive feedback parameter, climate change isn't anything to worry about. Our models tell us that, having accounted for everything we know to be true of climate, there must be this large, (net) positive feedback thanks largely to increases in co2. The issue is that if there is something else which can explain the observed warming without this feedback, then there is no climate change problem. So far, only a few have been proposed (such as the link between GCRs, solar magnetic flux, and cloud seeding). One the other hand, the same models that tell us that there must be this feedback tell us that the feedback should have resulted in an increasing rate of global temperature increases. The models are climate change theory. They tell us how the climate works now and running them forward tells us what the climate will be. As long as they're so fundamentally wrong that 15 years of a total of about ~30 or so of warming can't be explained, then we have an extremely serious problem. This has been pointed out in the research repeatedly, but unfortunately the sciences are replete with problems due to things like reputations and academic politics, and throwing actual politics into the mix amounts to a nightmare. No field is so thoroughly clamped down upon anything and everything regarding data and methods and sharing. The naysayers are to blame here too, as no field has so many amateurs who spend their free time trying to get access to data behind research just to tear it apart not to add to the field with newer and better theories. But the end result is still a quagmire.
it's based on actual measurements
That disagree in multiple ways with other measurements and with models. For example:
Douglass, D. H., Christy, J. R., Pearson, B. D., & Singer, S. F. (2008).
A comparison of tropical temperature trends with model predictions.
International Journal of Climatology,
28(13), 1693-1701.
and we also know what's the major factor-- human activity in various forms.
Even if one had some doubts, doesn't it make sense to side with caution?
All actions have consequences including not acting. The question isn't "should we do something" but "what should we do and why". The problem is that thanks to politics the number 1 committee which could have helped here has thoroughly messed up any chance it had to do so by continuously putting politics first and science last.
Why would one be so careless to take a chance, especially since energy conservation is a win/win solution anyway?
The answer is the kind of fall-out that can occur from "simple" solutions, and many solutions, like Kyoto, were or are lose/lose, as
1) They won't do anything for the climate
2) They will be extremely expensive
Banning DDT was easy. Dealing with millions upon millions of dead thanks to the resurgence of malaria all because Carson wrote
Silent Spring is not so easy. Actions have consequences no matter what. I'd prefer not to be blinded by the politics of either side.