Robert Orr, UN under secretary general for planning, said the next Intergovernmental Panel on Climate Change report on global warming will be much worse than the last one.
Hmm, that kind of confirms what critics have been saying for years, that the IPCC has nothing to do with science. Because, you see, to my knowledge the scientists of the next IPCC have not even started their work, but the UN leadership has already determined what the report will say. Which is consistent with their process in the last go around, where the UN political guys crafted the management summary first, and then circulated it to the scientific teams with instructions to adjust their sections of the report to fit the pre-existing conclusion.
In the same article, we get more of the "accelerating" nonsense:
He said UN Secretary General Ban Ki-moon would make it clear to world leaders in Cancun "that we should not take any comfort in the climate deniers' siren call."
"The evidence shows us quite the opposite-- that we can't rest easy at all" as scientists agree that climate change "is happening in an accelerated way."
Its not even clear what the value of the first derivative is for climate change, or even if such a metric has any meaning in the complex climate system where regional trends can easily be going in opposite directions. But anyone who can tell you that we know the second derivative, or even its sign, is totally full of crap.
Never (except perhaps with shark attack scares which come and go) have I seen such a classic case of observer bias. Certain events occur in the tail ends of the normal distribution. Suddenly everyone claims that these events are happening with more frequency, mainly because they get reported with more frequency. I reported on a great example of this from a supposedly scientific government report here, where researchers mistook improved measurement of certain events as a real underlying increase in the number of such events. Another example here.
Of course, 95 percentile events can't be, by definition, happening more frequently. The only thing that can happen is the normal distribution can have its standard deviation increase. Similar to the second derivitive argument above, I am not a statistician, but my sense is that the odds that we could detect a standard deviation shift in the distribution of weather events using just a few years of highly imperfect data, even if such an underlying shift existed, is really really low.