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Its called modeling not science and not science modeling in any shape or form even closely resembling ex physics. We dont know its going to be bad, we dont kno
by ThomPete 7y ago
Its called modeling not science and not science modeling in any shape or form even closely resembling ex physics.
We dont know its going to be bad, we dont know if its us or natural variation and we dont have a single scientifically demonstrated conclusion of climate change we dont know how to deal with. Modelling is NOT science, its more akin to scenarioplanning which is why the results are all over the map. If it was science on the precision of physics we didnt need modelling.
We understand greenhouse effect in a lab well, not in a chaotic non linear system like the climate.
- viraptor 7y agoStatistics is a part of science. It's perfectly valid to use scientific methods to arrive at: this is the current trend, this increase started at year X, given all we know right now, there's a tiny chance that this increase is not caused by this specific change. From there we can extrapolate future changes with some likelihood brackets. Then feel free to discuss the brackets, the methodology, etc. but you can't really dispute this as a scientific method. This is literally how current drug research (well, validation) works. It would be great if we could model the entire body-drug interaction, but in the meantime the statistics we have are the best thing we have available.
- ThomPete 7y agoStatistics is part of science but that doesent make it science just as little as math or a feather and a bowlingball does. Science is a process with some disciplines allowing us to be very precise and others not so much. Climate science is a very imprecise type of science with so much uncertainty that all we can do is offer ranges of output based on ranges of initial conditions, we dont even know which conditions are correct and we dont know what we are missing. Even the data we put into the models are highly debatable, and then we havent even added the fact that 125 years is not some objective way to measure naural vs human made influence. But sure as usual just downvote all you want, that doesent make computer models or statistics any more science.
- hutzlibu 7y ago"But sure as usual just downvote all you want, that doesent make computer models or statistics any more science." As usual. Ignorance, while feeling self righteous. But out of curiosity, have you actually studied some science, that you can make such bold claims, that computer models and statistics have nothing todo with science? But maybe a different way: you really believe that all what humanity does, has no influence on the climate? Or in other words, what part of the greenhouse effect, does not make sense to you?
- ThomPete 7y agoI have studied how the computer models work yes. And i know what the difference between what is speculated and what is demonstrated and what is demonstrated in a lab under controlled circumstances and then what can be demonstrated in a non linear chaotic system like the climate. There is nothing about the greenhouse effect that doesent make sense to me, the problem i have is with claims about what computer modeling can be used for.
- hutzlibu 7y ago"problem i have is with claims about what computer modeling can be used for. " Ok, we agree on that. But so far I only heird weird claims from the media, activist and politician side. The actual scientists do point out the limitations of their models. But still, if the overwhelming majority of the involved scientists say all their models and data does indeed point to human made climate change and warming ... then maybe there is something to it?
- ThomPete 7y agoTheir data don't point to that, they are interpreting the data as if it does which there isn't any scientific evidence to support. Only speculation (it could be other things like the sun, natural variation and so many other things which they haven't been able to rule out)
- noelsusman 7y agoSince when does physics not use models?
- ThomPete 7y agoIt uses them all the time to explore not to conclude. If all the conditions were known then it would be one single equation. Modeling is sign of too many unknowns not of certainty.