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Comments

Frank S

Well done. So much stuff published by those intent on alarming us about CO2 and climate is vulnerable to being exposed as misleading by anyone who digs into the data and the contexts. This is a very minor example, but more important ones include the MBH (1998) Hockey Stick (which took years to expose since the authors refused to share data and codes), the notion of a warming Antarctica, the disappearing glaciers of the Himalayas, the disappearing polar bears, the disappearing snows from Europe, the increase in hurricanes, the surging of sea level rise, the relentless increase in global mean temperature, the 'acidification' of the oceans, ... I am sure my list is incomplete.

RobM

Have countries been given equal weights in calculating the global average? I would expect the US to be typical if the mean were a weighted average based on population, given that China appears slightly more sceptical.

Henry

I think it would be better to have both charts. On the map my eye jumps to Brazil and Argentina, the third and sixth on the list. Greece and South Korea are more subtle on the map simply because of their smaller size (a known pitfall of chloropleth maps).

It's also not clear from the posting whether the data was truncated (the top rankings of a full data set) or a sample of countries, which does seem to at least be cross-cultural.

Kaiser

Frank: Your point is taken but my challenge to climate skeptics is to find their own evidence, data, and make their own charts. It's easy to criticize but you have to show the alternative, which is the spirit of this blog. A blanket statement claiming all observed phenonmena are natural is not evidence.

RobM: This one is tricky. Because the population size distribution is so skewed (China, Indonesia, India, etc.), any weighted average is meaningless. Computing a good set of weights for combining poll data from around the world sounds like a worthy project. Do any readers know any such weighting scheme (other than the predictable and predictably bad straight average, population-weighted average, GDP-weighted average, etc.)?

Henry: It's a sample of data plus I think either the designer or the charting software inadvertently left off the top. It is always true that multiple views of the data give a more rounded view but most publications can't afford to print both. However, maybe that's one of the rules that should be broken!

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