
Press release
London, 13 January: A climate bet proposed by the BBC’s radio programme “More or Less” four years ago has been won by Dr David Whitehouse, a former BBC Science Editor and a scientific adviser to the Global Warming Policy Foundation.
In 2008, the BBC programme-makers came up with the idea of a bet. It was for £100 that, using the Met Office’s data set (HadCrut3), there would be no new warming record set by 2011. It was made between Dr Whitehouse and climatologist Dr James Annan.
Later today, the BBC’s “More or Less” (16:30 on BBC Radio 4) will report about the outcome of the bet and announce the winner.
A full report of the scientific background to the bet is available here:
Winning A Climate Bet
by Dr. David Whitehouse, the Global Warming Policy Foundation
Predictions, Neils Bohr once said, are difficult, especially about the future. They are even more interesting however, when there is money at stake.
In December 2007 I wrote what I thought was quite a straightforward article for the New Statesman pointing out that it was curious that when so many voices were telling us that global warming was out of control, and that the global warming effect dwarfed natural fluctuations, the global annual average temperature hadn’t increased for many years. I wasn’t promoting any particular point of view just describing the data. The New Statesman jumped at it.
It caused quite a storm resulting in an Internet record number of comments that were complimentary by a large majority, although there were some less than supportive remarks. It evidently also caused quite a fuss in the offices of the New Statesman. Realclimate.com responded with, in my view, an unsatisfactory knock-down of my piece based on trend lines, which I had expected. Trend lines, especially of indeterminate length in the presence of noise, can tell you almost anything, and nothing.
The New Statesman environment correspondent Mark Lynas chipped in eventually with, “I’ll be blunt. Whitehouse got it wrong – completely wrong,” after saying he was initially reluctant to comment. He reproduced Realclimate.com’s trendlines argument and accused me of deliberately or otherwise setting out to deceive. It was a scientifically ignorant article which subsequent events, and peer-reviewed literature, emphasise. Moreover, when I asked New Statesman for redress against such an unnecessary, and in my view unprofessional insult, they declined, and stopped answering my emails. In doing so they missed out on an important, though perhaps inconvenient, scientific story.
More or Less
To my surprise interest in my article was worldwide, and eventually the BBC’s radio programme “More or Less” got in touch. The programme is about numbers and statistics and they set up a series of interviews. You can hear the programme here.
Almost at the last minute the programme-makers came up with the idea of a bet. It was for £100 that, using the HadCrut3 data set, there would be no new record set by 2011. It was made between climatologist James Annan and myself. His work involves analysing climatic data and validating climate models. He accepted enthusiastically as he has a perchant for taking on ‘sceptics.’ The presenter said that if the global temperature didn’t go up in the next few years, “there would be some explaining to do.”
Later today, January 13th, “More or Less” returns to the bet, which I am pleased to say I won, though I note that this bet, or its conclusion, is not yet mentioned on Annan’s Wikipedia entry despite his other climate bet being discussed.
Writing shortly after the wager was placed James Annan said he believed it was a fairly safe bet, though not certain, as the trend since the current warming spell began, around 1980, was upward (showing those same trendlines!) He drew a straight line from 1980 to 2007 and projected it forwards concluding that sometime over the next few years HadCrut3 would rise above its highest point which was in 1998 (a strong El Nino year.)
The problem with this approach is that it destroys all information in the dataset save the gradient of the straight line. In climate terms 30 years is usually held to be the shortest period to deduce trends (though shorter periods are used often if the trend deduced is deemed acceptable) but that is not to say there is not important information on shorter periods such as volcanic depressions, El Nino rises and La Nina dips. Then there are the so-called, poorly understood decadal variations.
My view was that the information in the dataset was important, especially if projecting it forward just a few years when natural variations were clearly dominant. Looking at HadCrut3 it is clear that there isn’t much of an increase in the 1980s, more of an increase in the 1990s, then there is the big 1998 El Nino, followed by no increase in the past decade or so. It therefore seemed far more likely that the temperature would continue what it had been doing in the recent past than revert to an upward trend, in the next few years at least.
My approach was to listen to the data. The approach taken by James Annan was flawed because he didn’t. He imposed a straight line on the data due to theoretical considerations. I always wonder about the wisdom of the approach that uses straight lines in climatic data. Why should such a complex system follow a straight line? Indeed, the rise of HadCrut3 is not a straight line, but the past ten years is, and that in my view is very curious, and highly significant.
Why, I wonder start the linear increase in 1980? Obviously the temperature starts rising then, but why not start the straight line in 1970? The answer is that the temperature is flat between 1970 and 1980. It seems illogical to take notice of flat data at the start of a dataset but totally ignore it at the end!
When a record is not a record
During the recent interview for “More or Less” James Annan said that had other temperature databases been used he would have won. This is a moot point that also strongly reaffirms my stance. In NasaGiss 2010 is the warmest year, with a temperature anomaly of 0.63 deg C, only one hundredth of a degree warmer than 2005, and within a whisker of 2007, 2006, 2002, 2001 and 1998. Given the 0.1 deg C errors even Nasa did not claim 2010 as a record. Technically speaking 2010 was slightly hotter because of a string El Nino. Otherwise, NasaGiss shows hardly any increase in the past decade.
During the “More or Less” interview the question arose of extending the bet to “double or quits” for the next five years. I was game for it with a proviso. Betting against a record for ten years raises a higher possibility that there might be a statistical fluctuation than betting for five years. Because of this I would like to see two annual datapoints, consecutively more than one sigma above the 2001 – date mean level. After all, that is the minimum statistical evidence one should accept as being an indication of warming. James Annan did not commit to such a bet during the programme.
It just has to start getting warmer soon.
Back in 2007 many commentators, activists and scientists, such as Lynas, said the halt in global temperatures wasn’t real. It is interesting that the Climategate emails showed that the certainty some scientists expressed about this issue in public was not mirrored in private. Indeed, one intemperate activist, determined to shoot my New Statesman article down but unable to muster the simple statistics required to tackle the statistical properties of only 30 data points, asked the University of East Anglia’s Climatic Research Unit and the Met Office, to provide reasons why I was wrong, which they couldn’t.
What was true in 2007 is even more so in 2012. Since 2007 the reality of the temperature standstill has been accepted and many explanations offered for it, more than can possibly be true! We have seen predictions that half of the years between 2009 and 2014 would be HadCrut3 records (a prediction that now can’t possibly come to pass) which was later modified to half of the years between 2010 and 2015 (likewise.) The Met Office predict that 2012 -16 will be on average 0.54 deg C above the HadCrut3 baseline level, and 2017 -2021 some 0.76 deg C higher. Temperatures must go up, and quickly.
So how long must this standstill go on until bigger questions are asked about the rate of global warming? When asked if he would be worried if there was no increase in the next five years James Annan would only say it would only indicate a lower rate of warming! Some say that 15 years is the period for serious questions.
We are already there
In a now famous (though even at the time obvious) interview in 2010 Prof Phil Jones of the University of East Anglia confirmed that there was no statistically significant warming since 1995. There was an upward trend, but it was statistically insignificant, which in scientific parlance equates to no trend at all. In 2011 Prof Jones told the BBC that due to the inclusion of the warmish 2010 there was now a statistically significant increase between 1995 and 2010. Since 2011 was cool it doesn’t take complicated statistics to show that the post 1995 trend by that method of calculation is now back to insignificant, though I don’t expect the BBC to update its story.
The lesson is that for the recent warming spell, the one that begins about 1980, the years of standstill now exceed those with a year-on-year increase. It is the standstill, not the increase, that is now this warm period’s defining characteristic.
The nature of the anthropogenic global warming signal is that, unlike natural fluctuations, it is always additive. Sooner or later, it is argued, it will emerge unambiguously, perhaps at different times in different parts of the world, but it must emerge. Some argue that by the time it does it will already be too late, but that is another debate.
James Annan is keen on a “money markets” approach to forecasting global warming, and bemoans the reticence of so-called climate sceptics to put their money where their mouth is! I hope that his early-stage financial loss won’t be too much of a setback and a deterrence for potential investors, not that I will be among them.
Now that I am joining the ranks of those who have made money out of global warming (or rather the lack of it) I wonder where the smart money will be placed in the future.
Feedback: david.whitehouse@thegwpf.org
Discover more from Watts Up With That?
Subscribe to get the latest posts sent to your email.
Nick Kermode says:
January 13, 2012 at 1:49 pm
… Anthony chose Jan 2007 to start the graph that goes with the story, being one of the highest anomalies on record…
There’s a bit of a joke in that graph. If it weren’t for the extremely cool anomaly of 2008, the trend line on that chart would be downward rather than upward.
BTW, “Pyrrhic” refers to a victory achieved at excessive cost. The word has nothing to do with “irrelevance.”
@Steve Garcia
” There ARE no straight-line trends in nature. ”
My thoughts exactly!!!
I am an engineer by profession and I find the use of “trend lines” for any predictive purpose the height of absurdity. I have no problem with using a trend line or a pair on lines to illustrate a bandwidth as a shorthand way of characterising historical data. That is a proper used of statistics. But once you get into the predictive business you are into what engineers call modelling and the mathematics of modelling is far better done using mathematics based in the maths of whatever mechanism is in play. With global climate they is very, very difficult due to the complexity of the multiple systems in action. The notion that the mathematics of global temperature could be in any way modelled using linear mathematics is utterly laughable.
this is why Paul Hudson’s October 2009 article at the Beeb was – for the layperson – the real “HIDE THE DECLINE” issue. the MSM and the CAGW scientists had not informed the public that their PREDICTIONS were not panning out. once former CAGW believers like myself read the Climategate emails six weeks later and realised how frantic the CAGW Team (which we didn’t know were so tight with each other) were over Hudson’s article, the blinkers were removed from our eyes:
9 Oct 2009: BBC: Paul Hudson: What happened to global warming?
http://news.bbc.co.uk/2/hi/8299079.stm
decoupling CAGW and CO2 remedies is another matter. from my experience, a huge number of CAGW Believers are with the sceptics in wanting to prevent a CO2 financial bubble. let’s join forces:
13 Jan: Guardian: Damian Carrington: How to tackle the climate, health and food crises, all at the same time
Reducing the soot pumped out by cars and cooking fires and the methane from coal mines and oil wells would rapidly curb global warming, prevent air pollution deaths and boost crop yields…
Drew Shindell, at NASA’s Goddard Institute for Space Studies, who led the research is clear that this is not an either/or situation: “It is not at all a substitution. It would be a big mistake to focus on dealing with the near-term problems of methane and black carbon without also focusing on the problem of carbon dioxide as well.”
Nonetheless, his team’s work shows action on methane and black carbon is hugely worthwhile and, for the first time, the study shows reveals the regional benefits, from a more stable monsoon in India to better growing plants in Mexico…
http://www.guardian.co.uk/environment/damian-carrington-blog/2012/jan/13/methane-black-carbon-emission-climate-change-warming?newsfeed=true
It occurs to me that a stock market analyst would make a much more interesting analysis of the trends in the trends than a scientist. They are quick as buggery at noting when the data has popped out of a predicted trading range. I wonder why the same techniques aren’t applied here?
I see the wikipedia entry has been updated today. We will see how long that lasts.
[REPLY: You’re not real good at reading graphs, are you? -REP]REP, I can read the graph well enough to appreciate that, compared to the actual ice minimum of 4.4 million km^2, the two worst forecasts (both high) were those of WattsUpWithThat and of Egan (evidently a WUWT poster?).
Now, anyone who checks Anthony’s WUWT post for May 31, 2011, titled Sea Ice News – June ARCUS forecast from readers submitted—will appreciate that the scientists’ report, their graph, and my understanding of that graph, all are correct.
Looking back further, I find other WUWT predictions by Anthony, made in late 2009 and 2010, that the Arctic ice would recover … predictions that were not born out.
However (like most folks here on WUWT) I would be pleased to be corrected in the above understanding, if it is mistaken.
The prediction business is a tough business, eh?
[REPLY: You will note that 10 of the 19 projections had ranges attached. The WUWT projection was off by 1.1 million Sq. Kilometers. Two of the projections had ranges very much in excess of that. Both the Wang and Kauker model-based projections had upper limits exceeding the WUWT projection and the Peterson model projection had a lower limit that was 1.6 million Sq. K too low. I’d say the amateurs at WUWT didn’t do too badly. -REP]
Ursus Augustus says:
The notion that the mathematics of global temperature could be in any way modelled using linear mathematics is utterly laughable.
No it isn’t, because experience has shown that average temperature is a smooth function that almost never varies by much over a few decades (and even centuries). So a linear approximate is a relatively good one. There is room to debate the fine details (for example, the Younger Dryas, and maybe even 1998 was a abrupt jump to a “new regime.” But these are rare (and no less comforting).
A linear approximation to the time-dependence of temperature is a good one.
@Erinome
“A linear approximation to the time-dependence of temperature is a good one.”
Actually it’s not. At no point in the historical record of average temperatures is any trend of meaningful length linear. It fluctuates up and down constantly with varying magnitudes and frequencies.
One has to go back to the 1940s to find a time when a previous high temperature mark was not beaten for 10 years according to the HadCrut3 data. See:
http://www.cru.uea.ac.uk/cru/data/temperature/hadcrut3gl.txt
The 1953 mark was beaten in 1963, which was beaten in 1973, etc. So in ten years or less, a new modern day record was set. However their mark of 1998 has not been beaten yet. Every year that goes by without the 1998 record being beaten is another nail in the coffin for CAGW.
Jonathon Jones updated the wikipedia entry to show the results of the bet. It is now on r3cord at WUWT…awaiting the usual dishonest Connelley re-edit
One good indication of how much the climate science is ‘settled’ is in the way they constantly have to move the goal posts to try to cover up for the fact they been proved dead wrong . Oddly you would have thought that if they known as much as they claim and that knowledge was as perfect as they say , that is the type of thing they never have to do .
Strange how the world of climate ‘science’ works .
Jimash says:
January 13, 2012 at 2:23 pm
“Richard G says:
January 13, 2012 at 1:15 pm
“Predictions, Neils Bohr once said, are difficult, especially about the future”
“It’s tough to make predictions, especially about the future.” — Yogi Berra
Maybe Yogi Berra was a better physicist than people give him credit for.”
He was.
My favorite Yogiism : “You can observe a lot by watching “
Yogi (and most big leaguers who fail 2 out of every 3 times they face a pitcher) had to have been an amazing physicist, hitting squarely a round ball with a round bat. A ball, I might add, that is either coming in at 90+ mph from from about 55 ft away (think about where the pitcher is when he releases the ball), or coming in at 87 aimed at your ear, then curving at the last instant to finish in the catcher’s mitt hovering over the outside corner.
Ted Williams was an even better physicist – he could tell you on what part of the ball his bat had made contact.
As Casey Stengel said, “you could look it up.”
Erinome,
Not one of the ≈two dozen GCMs predicted the flat to declining temperatures over the past fourteen years. Conclusion: computer climate models can’t predict their way out of a wet paper bag.
• • •
Nick Kermode says:
“More interesting is this:
http://www.cru.uea.ac.uk/cru/data/temperature/nhshgl.gif ”
Nick, they’re fooling you. What you’re seeing there is a perfect example of “How To Lie With Charts“. They deliberately used an arbitrary zero baseline, which creates a scary looking chart [and of course the bright red doesn’t hurt their narrative, either].
Computers cannot predict trends, but the historical temperature record shows a clear rising temperature trend from the LIA. Despite natural fits and starts, we are still in that upward trend. Look what happens when you replace their arbitrary zero baseline [or any arbitrary temperature baseline] with the actual long term trend line.
The planet has been warming along the same trend since well before CO2 became an issue. That one fact proves that any warming due to CO2 is minuscule, and can be disregarded for all practical purposes.
David L says:
@Erinome
> “A linear approximation to the time-dependence of temperature is a good one.”
Actually it’s not. At no point in the historical record of average temperatures is any trend of meaningful length linear.
Prove it.
Show me your time series for globally average temperature.
Then tell me where it cannot be linearly approximated.
Smokey wrote:
Not one of the ≈two dozen GCMs predicted the flat to declining temperatures over the past fourteen years.
1. Climate models don’t predict, they project. Which of the 36 IPCC scenarios are you invoking, and which model’s assumptions are you using?
2. Surface or lower tropospheric temperatures have not been “flat to declining” over the past 14 years. The UAH LT linear trend for the past 168 months is 0.055 +/- 0.035 C/decade. In whose universe is that a flattening or a decline?
Baa Humbug says:
January 13, 2012 at 2:21 pm
I seem to recall that some years ago Mcintrick (I think) proposed a tax on carbon fuels based on global temperatures.
If temperatures go up, so does the tax, if it goes down, so does the tax.
I thought it was brilliant.
===============================
McKitrick is very brilliant, and a genuis at explaining issues to layman, however this idea I never liked.
No tax period, wasted money, wasted buracracy. Beyond that, the known facts are that CO2 is a benefit to the world, the predictions of disaster are failed.
A C of Adelaide says:
“…It occurs to me that a stock market analyst would make a much more interesting analysis of the trends… I wonder why the same techniques aren’t applied here?”
Well, stock markets have a lot to do with emotion. Pattern recognition has to do with predicting how buyers and sellers will respond to how the market is trading. Real weather / climate data has to do with empirical data.
Given the tinkering with the real data and interpretations that some “researchers” do, maybe market techniques could make it more understandable…
It seems the “mirror neurons” have a lot to do with it. Experienced players can tell from the pitcher’s grip on the ball, the arm, hand, and body motion, and the release point what the ball is likely to do. A kind of internal emulation by a mental pitcher. Hence the success of pitchers who conceal grip, or use a single arm motion, etc. No data → lousy prediction.
More stock analysts make money by selling their opinions than by actually risking their own cash.
Dr. Whitehouse;
See my comment above. Do you seriously mean that the “average” of a 10-yr period is more volatile (= unpredictable) than that of a 5-yr period? Just askin’; it seems it would be more subject to random fluctuation.
Edit prev: “it seems a shorter period’s average would be more subject to random fluctuation.” If you look at a rolling 5-yr average on any stock chart, it’s much more volatile than a 10-yr rolling average, e.g.
Baa Humbug says:
I seem to recall that some years ago Mcintrick (I think) proposed a tax on carbon fuels based on global temperatures.
If temperatures go up, so does the tax, if it goes down, so does the tax.
I thought it was brilliant.
So please tell us what is the relationship between last year’s temperature and last carbon emissions?
Be specific. Imagine you are a tax collector.
I expect you cannot to this.
Regarding predictions… Oh sorry projections… The basic problem here is understanding the difference between interpolation and extrapolation. A could use a linear trend (one degree of freedom) to fit your data. You could use a polynomial with many orders (degrees of freedom). You will get something that fits, that is, something that interpolates your data. Extrapolation is a whole other thing. Here is an exercise for anyone with even a rudimentary understanding of excel. Get some random data and fit a curve to it using the trend line functions on the charts. Now see if it can predict what the next set of random numbers will be. Unless you understand the process that is generating your data you you are just playing games.
George E. Smith; said @ur momisugly January 13, 2012 at 11:39 am
Actually General Circulation Models. And I rather think that “statistical” is somewhat of an overstatement. Statistics is the science that deals with the collection, classification, analysis, and interpretation of numerical facts.