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Global Warming - How to Lie with Statistics

I usually try to avoid getting involved in debates about global warming these days - it tends to suck up huge amounts of my research time when I try to get things right while the other "debaters" just slap together a few random links they got from Google within half a minute. However, sometimes I just cannot resist, and the following examination is the latest result.

It started out with this debate. I was given a link to this article by one Christopher Monckton as evidence that global temperatures in the last decade had not in fact increased, but decreased. So I took a look at the provided graph and was fascinated - by the sheer amount of blatant manipulation I encountered:

Fortunately, the author provided a source for his data - the HadCRUT3 data set. So I sat out to recreate the graph, and managed to do so.:

First of all, while the used data did show a cooling trend, my linear fit (done with GNUPlot) produced a cooling of

-0.00156427 °C/month.

Extrapolated for an entire decade, like the author has done, this would translate into:

-0.00156427*12*10 °C/decade = -0.1877124 °C/decade

This is not even half as much as the 0.4 °C/decade the author claimed. But wait, it gets better!

It seems that the author of the article, has deliberately started using the 2001-2008 HadCRUT3 data set with one of the hottest months in this period - which happens to be January 2002 (so he didn't use any 2001 data after all, despite the caption of the graph) - and then ended using the data with the very coldest month in this period, which was the abnormally cold January 2008:

With such a self-selected data set to confirm his bias, is it any wonder that he got a significant cooling trend?

And what's with using only six years and one month to extrapolate a "cooling per decade" value - especially when the same data set goes back for far more than a decade and a real value could be easily calculated?

No wonder that this guy apparently doesn't have any peer-reviewed papers to his name - with such blatant attempts at cooking the data, the reviewers would laugh him out of town.

So what would temperature trends over the last decade actually look like?

Well, I've used the same data set for the period from April 1998 to March 2008 (the last entry), and the following graph is the result:

The linear fit produced a warming of 0.0349044 °C for the entire decade - not much, but as this long-term graph generated from the same data set shows, 1998 was an abnormally warm year while the last winter was particularly harsh:

To sum it up, global temperatures have indeed increased during the last decade, if not as strongly as in the time before that. We will have to continue to watch the long-term trends of global temperatures - and be wary of anyone who attempts to cook the data for his own agenda.


Dec. 9th, 2011 09:32 pm (UTC)
Arguments Against Global Warming

Even though there are so many talks and forums that have been given to teach the people about global warming, there are still so many arguments about global warming that have arisen over the years. Most of the arguments about global warming are not facts and are just speculations of people or their assumptions about what they think is happening to the world.
Dec. 10th, 2011 08:43 am (UTC)
Re: http://argumentsagainstglobalwarming.org/
That website starts with:

One of the arguments about global warming is that the world is considerably becoming cooler ever since 2010.

That's what they consider a convincing argument? A temperature fluctuation over the span of one year?

Sorry, but if they start with this, I just can't take them seriously...
Sep. 1st, 2014 03:31 pm (UTC)
Re: http://argumentsagainstglobalwarming.org/
It is now in late 2014 and 6 years since this post was written.

Every major scientific body (NASA, WMO, CRU etc) now admits that there has been no statistically significant change in global surface temperatures since 1997 and NONE OF THE MODELS that every single IPCC report has been based on came close to predicting that. ("ahh, but the heat is going into the oceans" they say. Well why wasn't that modelled in the first place?)

How long until people at least realise we don't have a clue what's going on with the weather, let alone the global climate 100 in the future?


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