Evidence in favour vs evidence against

http://www.un.org/apps/news/story.asp?NewsID=49970#.VU5Um8bh7MI

In addition, he warned that 14 of the 15 hottest years recorded have all been in the 21st century, adding the UN agency's expectation that global warming would continue “given that rising levels of greenhouse gases in the atmosphere and the increasing heat content of the oceans are committing us to a warmer future.”

I wonder if this is true.
 
I wonder if this is true.
Did I miss the <Irony> tags?

Just in case:
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Spoiler Keeling Curve up to 2015 :
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Oh, don't worry, the evidence that I've seen repeatedly has me convinced.

But why doesn't it convince everyone? And why does no-one (convinced or otherwise, and including me) do nothing about it?

(I've a good idea why I don't: it's because I really can't be arsed, I hate feeling cold in winter, and I like the convenience of driving about in my car.)
 
I really waffled on whether to mention this piece of evidence, and then I realized my intuitions were being stymied.


2014 was hottest year in modern record

Now, it strikes me as evidence of a warming climate if the most-recent year was the warmest on modern record (especially despite the lack of an El Nino). OTOH, if temperatures were 'merely' on the high-side of average, the nay-sayers regarding AGW concerns would be able to continue talking about the lack of warming trends, and I'd not find their arguments very persuasive. I would be expecting a new source of climate buffering, some natural mechanism by which heat was being sequestered from the atmospheric climate, and merely affecting oceanic system.

Is this cognitively unfair?

Should another record-breaking year sway people's opinion? Should a lack of a record-breaking year sway people's opinion?

I think when you say "evidence in favour" and "evidence against", what you mean is "data points that are predicted by the standard models of climate" vs "data that does not fit the model" or "data that would require us to change our models in such a way that AGW is thrown into doubt". So when you look at record-breaking years, you're saying "is evidence of AGW", but what you really mean is "this data is predicted by the standard models". Meanwhile, when you say that an unusually cold year "is not evidence against AGW", what you mean is "this data is still predicted by the standard models".

I think the cognitive bias is actually cognitive dissonance, if anything. You have this hunch, that the data doesn't invalidate AGW, and you assume that the existence of this hunch implies "good evidence" or "bad evidence". After all, that's the only thing you can think of right now to explain why you have this hunch. It must be bad evidence, or else you would be wrong to have the hunch. In fact, the hunch is more subtle than that: it's "fits model" or "doesn't fit model". Both record breaking years and non-record breaking fit the model for climate change just fine, and that model predicts AGW. So neither set of data should change our minds. Only data that doesn't fit the model should make us question whether the model is accurate. I believe that this is what you're trying to articulate, except because your mind has gone to "evidence" instead of "fits model", you're questioning your entire thought process. Your thought process is flawed if you're talking about evidence, but if you're trying to figure out whether or not the data fits a model, it makes perfect sense.
 
I wonder sometimes if you're able to change your mind on this. Is there any possible evidence that would convince you humans are heating up the planet?

At some point, it's going to be irrelevant what's causing climate change compared to what can be done to offset it. The worst case scenario is that human impact is minimal-to-modest but it's still warming towards dangerous/irreversible levels, because that would require a lot more than emissions standards.

It's hard to sift through all the garbage on this topic. The stuff I've tried to read on it is worse than articles on medicine or even on health/diet. Maybe I'm just not looking in the right places.
 
Well, there was a 'pause' in some places we were measuring. It's not like the total heat didn't stop rising!
 

0.6 W/m² - What NASA says the 10 year average surplus is in Earth's Energy budget.
x 510 x1E12 - Approximate area of Earth's surface
x 86400 - Seconds in a day
x 365 - Days in a year
x 10 - Years
-----------------
9.65 x1E22 - 10 year change in energy.

Sorry about the no sourcing. Just typing in very quickly. Already had the discussion here months ago with Tokala.

Where the energy change comes from is up to you to conclude. The slope of the line in the graph quoted does not seem to capture all of it. It looks like about half.
 
I think when you say "evidence in favour" and "evidence against", what you mean is "data points that are predicted by the standard models of climate" vs "data that does not fit the model" or "data that would require us to change our models in such a way that AGW is thrown into doubt". So when you look at record-breaking years, you're saying "is evidence of AGW", but what you really mean is "this data is predicted by the standard models". Meanwhile, when you say that an unusually cold year "is not evidence against AGW", what you mean is "this data is still predicted by the standard models".

I think the cognitive bias is actually cognitive dissonance, if anything. You have this hunch, that the data doesn't invalidate AGW, and you assume that the existence of this hunch implies "good evidence" or "bad evidence". After all, that's the only thing you can think of right now to explain why you have this hunch. It must be bad evidence, or else you would be wrong to have the hunch. In fact, the hunch is more subtle than that: it's "fits model" or "doesn't fit model". Both record breaking years and non-record breaking fit the model for climate change just fine, and that model predicts AGW. So neither set of data should change our minds. Only data that doesn't fit the model should make us question whether the model is accurate. I believe that this is what you're trying to articulate, except because your mind has gone to "evidence" instead of "fits model", you're questioning your entire thought process. Your thought process is flawed if you're talking about evidence, but if you're trying to figure out whether or not the data fits a model, it makes perfect sense.

In that terms, it becomes clear that the mean temperature of a single year can never be evidence for anything. A single data point fits any model that includes some variance. Some models are made more unlikely, but it could always be an extreme outlier. To decide whether some data fits a model, you always need multiple data points and even then certainty is only reached in the limit of infinite data points.

The only thing a single data point can do is to push the probability of a model being right or wrong over an arbitrary threshold that I set for myself for believing in a model. And for that purpose, a data point that sits exactly on the models prediction is much more likely to lead to acceptance of a model than a data point that would have to be an outlier.
 
0.6 W/m² - What NASA says the 10 year average surplus is in Earth's Energy budget.
...
9.65 x1E22 - 10 year change in energy.
...
The slope of the line in the graph quoted does not seem to capture all of it. It looks like about half.
I cannot see the problem here :confused:

You calculate a expected heat content increase of ~1E22J per year for the last years, and the slope of the ocean heat content figure is pretty close to that value for the last 20 years or so.

Some recent paper on that topic
:
We find a net ocean warming equivalent to a radiative
imbalance of 0.64 ± 0.44Wm &#8722;2 since 2005. Here we have included
the potential systematic uncertainties and assume that errors are
uncorrelated between estimates of warming above and below
2,000mdepth.Ourestimate of full-depth ocean warming is in good
agreement with a recent estimate of Earth&#8217;s net energy imbalance of
0.50 ± 0.43Wm &#8722;2 for the period from 2001 through 2010.
 
UN scientists warn time is running out to tackle global warming
From May 2007.
Greater energy efficiency, renewable electricity sources and new technology to dump carbon dioxide underground can all help to reduce greenhouse gas emissions, the experts said. But there could be as little as eight years left to avoid a dangerous global average rise of 2C or more.
If this was a warning about the rapture, then it would be laughed off and yet we keep hearing of such doomsday scenarios nearly every year and yet not one has come to pass yet. The bit in bold shows we're not dealing with science but instead we are dealing with politics, because such language should never be found in scientific literature if you are making a definitive proclamation like we see here. How many more failed predictions do w need befre this nonsense stops?
 
What was the failed prediction?
The report said global emissions must peak by 2015 for the world to have any chance of limiting the expected temperature rise to 2C, which would still leave billions of people short of water by 2050.
 
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