The Decadal Global Climate Bet

This page provides an up to date view of the Global Decadal Climate Bet.

Details of The Bet are available at NoTricksZone here.

Update at 6 years: December 2016 (month 72/120):  Reporting once again that things are much the same as the previous report.  The green line remains on top and the warmists continue to lead the bet.  The effect of the just started La Nina is looking quite weak as suggested by NASA/GWPF below.  The effect is barely visible in the graph … to date anyway.  I’ve also heard that there might be another El Nino coming – if that’s the case then the warmists will get another push toward a win.  Certainly is an interesting race as we get closer to the finish line.   The data sheet is  available here.

Climate Bet, Dec 2016

Update: October 2016 (month 70/120):  Much the same as the previous report.  The green line remains on top and the warmists continue to lead the bet.  The warming effect of the recent large El Nino clearly visible.  I’m now wondering how much impact the ‘just started’ La Nina will have.  NASA/GWPF say it could be ‘weak’.


Update: August 2016 (month 68/120):  The green line remains on top and the warmists lead the bet.  The spreadsheet containing all the data and workings is  available here.


Update: June 2016 (month 66/120): The green line’s slope has started to turn down a little, but it remains on top and the warmists continue to lead.  I’m guessing the green line will cross back under the red in five or six months as El Nino fades out and La Nina arrives.

Climate Bet, Jun 2016The data is available as usual at the links below.

Update: May 2016 (month 65/120):  The El Nino has now nudged the green line and we now have the warmists in the lead by a small margin.

Climate Bet, May 2016

The spreadsheet is available here.

UAH v6 Beta 5 data is available here.

RSS v3.3 data is available here.

Update: March 2016 (month 63/120):  We’re still seeing the effect of the El Nino nudging the green line closer.  Whether the lines cross over, and for how long, is still uncertain.  The El Nino indicators seem to have peaked and are beginning to decline, but as Bob Tisdale described at his blog, ‘Every El Nino is different’.

Climate Bet, Mar 2016

Update: February 2016 (month 62/120):  We’re now seeing the effect of the El Nino, and the race is closer still, with the coolists still leading.

Climate Bet, Feb 2016Note:  Links to source data and spreadsheet at bottom of page.


Update: December 2015 (month 60/120):

We’re now at the half way mark; and the present decade is still running cooler than the preceding decade.

The average temperature anomaly for the previous decade (Jan 2001 to Dec 2010) is 0.202 C.  The average temperature anomaly for the past 5 years (Jan 2011 to Dec 2015) is 0.184 C.  Only 0.018 C difference.

The recent uptick at months 58 through 60 is the beginning of the atmospheric warming caused by the current El Nino. It’s barely visible but definitely there. But I wonder how long it will last? If it continues along the lines of the 2010 El Nino, (which lasted about 9 months with an average anomaly of about 0.47 C) the lines will be very close in July 2016, and the lead could pass to the warmists. However, a La Nina typically follows an El Nino. La Nina brings a cooling, which would likely pass the lead back to the coolists.

Keep watching … I plan to update this each 2 or 3 months.

Climate Bet, Dec 2015


A global decadal temperature bet was made in early 2011.

At the time the bet was made (early 2011) December 2010 marked the end of the previous ten year period. January 2011 marked the beginning of the next decade. The transition stimulated the formation of a decadal global climate bet.

And so the coolists (led by Pierre Gosselin – NoTricksZone) and the warmists (led by Rob Honeycutt – Skeptical Science) are having a bet. They agreed to use a composite of Remote Sensing Systems (RSS) and University of Alabama Huntsville (UAH) lower troposphere temperature – close to the earth’s surface. They agreed that the result would be accepted without quibbling, as it was agreed between them that those series are the best that we’ve got. The average of the two series will decide the bet!

I have shown ‘the race’ as it progresses by graphing an accumulating total, ie: adding 1/120th of the average of the UAH and RSS monthly global anomalies month by month. The sum of these numbers after 120 months (10 years) is of course the global decadal average.

Data Links:

The spreadsheet is available here.

UAH v6 Beta 5 data is available here.

RSS v3.3 data is available here.

13 Responses to The Decadal Global Climate Bet

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  8. Barry Brill says:

    After Bob Carter pointed out “the pause” in 2007, the alarmists have been keen to talk a lot about decadal temperatures.

    This graph is very illuminating but it is, of course, all intra-pause. Could you produce another version, which shows the decades of the 1990s and 1980s as well?

  9. Tom Curtis says:

    With regard to your graph, it misses the key point that in order to win the bet, the 2010s temperature must be below the average rate of increase over the full decade of the 2000s, not just the decade to date. Thus, if the green line were to fall back to the red line over the next six months, and sustain the same average rate of increase thereafter, the climate “skeptics” would lose the bet. Your graph would be improved by including a benchmark showing the mean rate of increase over the full decade of the 2010s as in this example.

    • Anthony says:

      That’s a good idea Tom. I’ll add an average line for the 2000 to 2010 series with the August update. I hope to do that next weekend; 10 or 11 September.

  10. Interesting stuff, Anthony, and I’m glad to have chanced across your blog.

    I too am interested in “accumulated” data, but I use cumulative sums relative to a base level, most frequently the mean for the period under consideration. Have been doing this since 1992 with climate data, so have made many thousands of cusum plots for a very wide range of parameters.
    These plots -which I can’t post here because I do not know how, but can readily send as GIFs or JPEGs by email -, are a telling means of assessing climate time series. They provide immediate information on the large scale historical behaviour of the series, enabling a rational decision on whether the almost ubiquitous linear model espoused by climate scientists has any support from the actual data.
    I am especially interested in abrupt change. This is what cusum technology, such as it is, was designed for in the 1950s, in connection with SQC. It worked then, using (perforce) hand calculation, and it works now.
    I would be very happy to send you details of my analyses of any data set you choose, provided that I can download it. Just contact me by email.

    Cheers, Robin

    • Anthony says:

      Thanks for making contact Robin. I would be interested if you have done a cumulative sum of outgoing long wave infra-red over say 10 year periods. I had a go at this with an earlier post and wouldn’t mind comparing results if you have.

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