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Yesterday's science:
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Lots of claims but no substance to support any of it. Please provide a credible source showing flawed data specific to climate science.
Well if you feel like that, next time you go to your GP insist on him only treating you according to the teachings of Galen. The thing with science just like medicine is that it improves over time as people learn.Yesterday's science:
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You keep claiming erroneous data. If there is erroneous data I agree. Where's the erroneous data? Be specific and demonstrate how it is erroneous.It is math. You don't need hand waving to do it; you can do it yourself.
Would you like to see how the error in climate change evolves in a mathematically rigorous way? I can do that here.
For your own exercise, if you begin with erroneous data (>10% error in a parameter,) then every other piece of data wi be computed with that error.
For example, a 300 year time sample of a dynamic system - assuming the real time interval needed to measure a quantatatively meaningful period of system responses is 3000 years - is going to carry a substantial amount to error over in calculation (i.e. ~90% of the data in a particular periodic set is missing.)
To fill in this 90%, you use axioms, postultes, assumptions and extrapolation of data - which may include constants, and formulation of math that first agrees with the science.
It starts with math - which start from an assumption - which has high amount of error. You don't need to consult a scholarly article, and possibly not even a textbook to determine this.
You keep claiming errors, what errors? Furthermore, most of this research is performed by teams of scientists cross checking one another, not to mention the rigorous peer review process for publication.
Scientists even copyright their junk, don't they? (FYI, the KJB isn't copyrighted.)
Still no example. What is the error in showing the earth is warming? What is the error in attributing it to CO2 from fossil fuels.MATH.
The earth is a dynamic system. You need to model it with differential equations - sometimes extremely complicated ones (the Bjerkens' circulation theorem of sea-land breeze cycles alone requires solution techniques to PDEs.)
Some of these differential equations, as you may know, relate space to changes in time. So, for example, modelling dynamic atmospheric changes requires precise and accurate parameters within a certain accepted error limit. 0.00008% of data on a dynamical system is nowhere near enough accuracy to proceed without introducing more error.
It is math.
You keep claiming erroneous data. If there is erroneous data I agree. Where's the erroneous data? Be specific and demonstrate how it is erroneous.
Still no example. What is the error in showing the earth is warming? What is the error in attributing it to CO2 from fossil fuels.
Climate models do not make predictions nor are they implied to be perfect. They run "what if" scenarios based on variable data inputs. The way their reliability is tested is to run them backwards to see if their results actual recorded data. In fact they do. Furthermore, when model scenarios match actual data and conditions that occur they have been found to have a 95% reliability. Here's a simple example showing how we know it is CO2 causing the warming:It is the MATH - specifically, as I have said several times, the amount of data chosen to model the system is extremely high in error as the earth is dynamic. Choosing 300 years of hard data of the earth LIFETIME (or, even the periodic range) and extrapolating it accurately to create a correctly predictive model is statistically impossible. Every time you make a calculation with a parameter that is high in error, those results are also erroneous.
All I've seen is examples of bad statistics, nothing applied to climate. Show me in a published paper where the data and statistical analysis is wrong.Do you not get it?
The entire thing is wrong because of a major parameter - time, t - being incredibly erroneous to begin with.
It starts with error; you don't even have to know the theory. If it is backed by the assumptions and extrapolations that are founded on erroneous parameter(s), the entire thing compounds the error.
And don't forget to mention if it's copyrighted material, Rick ... thanks.Where do you get your information from the other side ?
Climate models do not make predictions nor are they implied to be perfect. They run "what if" scenarios based on variable data inputs. The way their reliability is tested is to run them backwards to see if their results actual recorded data. In fact they do. Furthermore, when model scenarios match actual data and conditions that occur they have been found to have a 95% reliability. Here's a simple example showing how we know it is CO2 causing the warming:
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Comparison of climate results with observations. (a) represents simulations done with only natural forcings: solar variation and volcanic activity. (b) represents simulations done with anthropogenic forcings: greenhouse gases and sulphate aerosols. (c) was done with both natural and anthropogenic forcings (IPCC).
No, neither does climate science. The study of Paleoclimatology is the study of past climates. My M.S in Earth Science (Univ. Memphis, 1977) was concentrated in three areas, geology, oceanography, and climatology. My specific area of concentration was Paleoclimatology, where I spent an entire year of applied research in the area of ice ages and their causes throughout earth history. I am not a laymen, and am well aware of statistical procedures and how the wrong analysis method can produce incorrect results. For example, the use of p-values in a climate model suggesting probability would be inappropriate. Climate models do not deal with normal distributions of data, they deal with dynamic systems. Yes, one can assign an error and range to the results, but the underlying mechanisms are dynamic and have a range of impact or weight in the overall result.Do you think 250 years is enough information on a dynamical system that has existed for allegedly billions of years?
Although climate models include a number of dynamic systems they are looking for a single specific outcome of a specific attribute, not an entire climate projection. Also, do not confuse climate with weather, they are completely different.Does that even sound reasonable to you? Because, climate science that looks to predict terrestrial patterns and trends takes marginal chunks of recorded history most intact, and they extrapolate a pattern based on assumptions, postulates and axioms observed from the set of data they have. I am not talking about local climate; I am talking about trending an entire planetary system and alleging being able to predict an entire set dynamical systems.
That is why climate models run scenarios, not predictions.It doesn't make sense mathematically - or in general - to begin with error, and think that your results will magically come out accurate, and the unique solution. There is a lot of time spent to determine the uniqueness of a solution, or at least there should be.
I believe I've already mention that climate models include a number of dynamic systems, they are not ignored. As for CO2, numerous measurements are taken world-wide numerous times during the day. There are also paleo record proxy's going back more than a billion years.Plus, most miss the earth is dynamic: that means that even if 7B of us breath out all at once, the rate of change in CO2 concentration, for example, is not always in steady state. You would have to accurately measure rate constants and material changes of the system - more compounded error. Then, you can compare the two processes to see if the activity actually has appreciable change on the earth system. (You have asked me four times for science showing how AGW can be erroneous, or how I can stipulate the error begins with certain parameters; I can show you an example of 7B human exhalation equilibriated by a nontrivial planetary dynamic as I have said for other examples.)
Thanks to ice cores from the poles, and fossil analysis, we can actually check out weather patterns from multiple millions of years ago. That's part of how we know about the relationship between CO2 and global temperatures to begin with.Do you think 250 years is enough information on a dynamical system that has existed for allegedly billions of years?
No government will ever alert their citizens of an event within two lifetimes (150 - 225 years.) Why?
1. Panic
2. Economic collapse
3. Anything goes (public hot war, no bars)
4. Lawlessness
5. Political, economic and religious backlash
6. Pandemic (psychological or biological)
7. (Insert personal doom here.)
Warning people decades ahead of time gives them time to prepare for it, and actually reduces panic since few people can actually look ahead farther than a couple years. The majority of people on this planet recognize that one day, they are going to die. Until old age, very few people consistently worry about it, and those that die kicking and screaming and crying about it are actually a minority. The most bitter people about dying tend to be people in my age group (when diagnosed with a terminal illness).There is no profitable reason why any government would warn it's citizens of an ELE only decades before it is supposed to happen. People would stop being "consumers," and may quit their jobs and enjoy life. People would throw middle fingers at authority, and so on.
Probably because while the bulk of the worst is yet to come, preventing it has to start now. You have to motivate a species that can rarely look ahead more than a few years into working towards a goal that won't yield results for decades. It's hard to do that.It isn't even a conspiracy THEORY, or conspiracy; no gover mentioned would do this based on very realistic factors that affect everyone. So, why is this being addressed as doom?
We are well past the point of spending our way out of this, though there are certainly people taking advantage of the opportunity. Tesla cars might be one of the worst. Do you know how much pollution goes into the production of those exotic batteries? You are much better off just driving a used car with an ok gas mileage until it falls apart than immediately buying up a new car. The lumber industry is the enemy? Most forest destruction is for use of grazing cattle, not actually utilizing the lumber.It is being addressed as doom - with the psychological implant that "we" can fix it - remedied through capital. Your fears, and an exploitation of each person''s "Lab Coat Syndrome" once again are supposed to save you only through your wallet.
This is why doom warnings would never happen within two lifetimes. People would tell their kids, and they would have to hope the "event" was far enough down the line so that both the parent and child are dead - and the resultant generation left is an apathetic, self-absorbed instant gratification generation that is too busy to simply look up.
The scientific community as a whole has neither the motivation nor the capacity to hide something like that. It would require that millions of people under dozens of governments collectively agree to hide the truth, and for every new person that becomes a part of the scientific community to do it too. Just no, some people do have their integrity, you know.I do think there are other things not related to the farce of AGW - things actually being scientifically hidden BECAUSE they are actually of concern - that contribute to global climate change.
Thanks to ice cores from the poles, and fossil analysis, we can actually check out weather patterns from multiple millions of years ago. That's part of how we know about the relationship between CO2 and global temperatures to begin with.
Hahahahahahaha, Swine flu (H1N1) and most of the media disagrees, hahaha.
I'm sure that there are plenty of moments in which governments try to delay news about events leaking out to reduce panic, but it doesn't really work out all that well for them in the end, does it?
Warning people decades ahead of time gives them time to prepare for it, and actually reduces panic since few people can actually look ahead farther than a couple years.
The majority of people on this planet recognize that one day, they are going to die. Until old age, very few people consistently worry about it, and those that die kicking and screaming and crying about it are actually a minority. The most bitter people about dying tend to be people in my age group (when diagnosed with a terminal illness).
Probably because while the bulk of the worst is yet to come, preventing it has to start now. You have to motivate a species that can rarely look ahead more than a few years into working towards a goal that won't yield results for decades. It's hard to do that.
We are well past the point of spending our way out of this,
though there are certainly people taking advantage of the opportunity. Tesla cars might be one of the worst. Do you know how much pollution goes into the production of those exotic batteries? You are much better off just driving a used car with an ok gas mileage until it falls apart than immediately buying up a new car. The lumber industry is the enemy? Most forest destruction is for use of grazing cattle, not actually utilizing the lumber.
That doesn't mean that there is nothing worth investing in or worth doing. It costs you less to use a car as long as you can rather than get a new one every few years. Buy glassware rather than disposable cups, plates, and utensils and hand wash them. What you end up spending most in reducing resource usage is time. Most people just don't want to put the time into it, and would rather try to buy their way out of it, but you just can't.
The scientific community as a whole has neither the motivation nor the capacity to hide something like that. It would require that millions of people under dozens of governments collectively agree to hide the truth, and for every new person that becomes a part of the scientific community to do it too. Just no, some people do have their integrity, you know.