Then prove it. You can't submit a hypothesis which is untestable. That violates the requirement of falsifiability.
That will be happening right now.
In terms of your falsifiability requirement; I notice that you have no compunction in forwarding insultingly simplistic positions without regard for the infinitely dynamic system in which your 1 or 2 little components reside.
Yeah... Tell me again about "proving" a cause-effect relationship.
My statement can be falsified. You could try to show that the satellites are in error, or that radiative transfer is wrong, or that there is no warming occurring as would be expected given the rise in atmospheric greenhouse gas concentrations.
But you haven't done that...
I don't need to illuminate the error in your position based on falsification of data - although the chances are that the ethically and morally proponents of your position have been documented to stoop to that action.... Read on and you'll get a taste of
what's to come.
Problem number one, science doesn't prove….. If you would like, you can test for goodness of fit (chi-square statistics).
Science doesn’t “prove” – That’s your position then?... This being the case, I can state quite confidently that your entire position is without support in any way shape or form.
I should have known that you'd fall back to a position that splits hairs on semantics rather than deal with the core issue at hand.... I am fully expecting you to set-up your excuses for not "proving" your point based on something as watery as semantics.
Typical.
Nonsense. Yes...you're talking about models now. Coupled models. With feedbacks. Attribution studies are models...they confirm the observations and predictions based on the known radiative physics.
.. Then show me the models that are
comprehensive - can explain the past and provide a reasonable forecast of the future... Can't do it can ya?
Mind you, I do enjoy the part about confirming observations relative to the “known” components…. That will work great if your model is comprised exclusively of known variables.
I’ll say it again for your benefit; in terms of this discussion, science doesn’t know “what” they don’t know and science doesn’t fully understand everything they are able to recognize.
How can you even presume that your statistical understanding is more advanced than mine?
Easy.. I see you assume a practice of preferential logic that is entirely selective in your "statistics" and then applies it as fact.
It's never occurred to you to seek info on the underlying assumptions. It's never entered your mind that those assumptions dictate the very outcome of the results?... You've made this perfectly clear that you have no comprehensive understanding of statistical modeling, nor have you ever developed a statistical model on your own.
Put simply - you do not comprehend the finer points as they relate to statistics.
So, with that in mind, what assumptions are you concerned with? Normality? Constant variance? Independent observations? No confounding variables? Is it the population the samples come from? Coefficient of determination?
See above... To add to my above observation -
statistics are no substitute for facts/knowledge or information.
You are free to apply whatever techniques and compensatory measures to account for unknowns, inadequate sample sizes and outside variables. However, if 500 ducks died in a tar sands tailings pond, it is exactly 500 – not 469.2 ducks nor 544.9 ducks. Hopefully this gives you a glimpse into the difference between statistics and reality as it relates to applying stats to a model that incorporates (essentially) an infinite number of variables.
Sorry, but "reality" trumps stats everyday... You'd be wise to accept that fact.
Name one assumption that would be a problem for testing attribution of climate change.
Causation – in a definitive and complete manner... Or haven't you figured that out yet?
If you don't have journal access, and haven't tried emailing the author (this will often get you the .pdf) just read the HTML form when you search it on google scholar, ie Here....Again, same thing, here. I'll note that you haven't actually commented on any of the other studies or findings yet.
Got it... Thanks... Just as I suspected, I could have employed just the abstract.
As far as the concern about my not commenting on the studies - I responded a day ago regarding my request... If this somehow escaped your memory, I specifically made reference to a word doc that covered this issue... Your comment that I haven't done anything with "it" was answered in advance.
Well, we know that grrenhouse gas concentrations are going up. We know that we're the source.
Wrong… This is the quintessential flaw in your position and ironically illustrates my point about your heavy reliance on statistics.
You do NOT know that it is completely due to anthropogenic source(s).
Your position absolutely relies on the assumption that humanity is the source and therefore is the sole variable that is causing the fluctuations.
Why do you think that I’ve set the base-line for climatic variations in referring to historical episodes?.. It is documented proof that causation (historical) can be directly attributed to non-anthropogenic sources.
We know that the net flux at the top of the atmosphere is positive downward (more coming in than going out). We know that the observed changes in temperature in the stratosphere, and troposphere, are consistent with an enhanced greenhouse. These predictions were made years ago, and are now confirmed by our orbitting and ground based observatories.
GHG's are going up?...
Relative to which point in time?
Relative to what sources?
Oh, that's right... As I stated clearly in an earlier post, you are prone to making statements that promote hypotheses that are measured relative to themselves only (or over a wee, tiny period of time)....
So, let's see how you respond to the question:
GHG's are going up relative to "what"; And how do you
directly correlate that to
anthropogenic global warming?
You can't, without relying heavily on partial statistical models that based on overly generous assumptions - AND - are incapable of describing the entire overall system/mechanisms.
Just because we don't know everything, does not mean that we cannot make meaningful predictions, or establish causation. It means that we can make the error terms smaller, and the uncertainty tighter, but that only strengthens the already solid p-values that researchers are getting now.
Don't know everything?... In the scope that global climatic systems are intrinsically affected by both terrestrial and non-terrestrial variables (possibly only a minuscule fraction that have even been identified), let alone having a comprehensive understanding of those mechanisms that have been identified and studied - the big statement that you bet the farm on is "meaningful predictions"?
You're only fooling yourself Tonnington.. Not even the amoral fraudsters at the CRU or Suzuki himself swallow that bilge.
The goal is not to prove. I already told you that science doesn't make proofs. My position is consistent with reality. In place of your unknown mechanism, I accept the explanation which is supported by observations, and is falsifiable, and is repeatable.
Your position takes no account of realism... Your first 2 reference points will be discussed in the following post
I take no offense at all to the fact that I could be wrong. Nobody has shown that yet though.
You have no provided anything that suggests you are correct… Consider the first 2 reference points as an example.
(
M410_15e 355..357) (
Comparison of spectrally resolved outgoing longwave data between 1970 and present)
These studies analyze the outgoing long wave radiation and link them to greenhouse gases. What neither of them have isolated, is the anthropogenic component… Excepting one reference study that considers speculative, anthropogenic volumes of
Carbon Monoxide, these studies have nothing concrete to say about
anthropogenic global warming.
Not really. It's only as important as explaining that the stock market has crashed before during this recession. It tells us nothing meaningful about the why, where, when, or anything else illustrative.
.. Or, it is effective in illustrating that a stock market actually exists… The stock market can’t crash if it doesn’t exist, right?
Yeah, how many times do you want to beat this dead horse? I stipulated that they exist. Now try to do something with it...
You don’t like my reminding you of these multiple events as it provides a wonderful, natural and repeating baseline for cyclical climatic fluctuations.
In answer to your question of how many times I will bring this up – the answer is that it will be forwarded every time that you seek to employ grandiose statistical models that attempt to refute the past…. See above
Yes...which is why I ask you to refute my references. My references clearly state that the radiation budget is producing warming, that the predictions of where that energy will be trapped has been documented in the spectral lines predicted, and it has been documented that it is remaining within our atmosphere. Now the onus is on you to say what is wrong with these studies (and there are more than just those I cited).
See above
and following post… Your references do not isolate sources of supposed ghg’s (1 exception being Carbon Monoxide which is not considered a major ghg)
Also, you still haven't made your case for why it's a natural cycle...notwithstanding previous glaciations/interglacials....
.. Notwithstanding the multiple, historical episodes?..
That’s hilarious – really.
Obviously. Maybe this will clarify it for you, why does it matter if man was around or not? What relevance does that have? There is a first time for everything, and it can't very well have happened if the situation never existed.
Why does it matter if man was around?.. Well, in a nutshell - this discussion is about anthropogenic GW… Emphasis on ANTHROPOGENIC.
I really hope that you’re not hitching your wagon to
“there’s a first-time for everything”… That’s really sad.