April 4th, 2008 . by polyGeek
I try to keep fairly current on the global warming news. I read a few sites, mostly RealClimate and Jeff Masters, and also have a specialized Google News category for “global warming” so that when new stories come out I’ll be likely to see them. The cool thing about the Google News category is that it presents commentaries from both sides of the isle, so to speak. And sometimes I just love reading the people who argue against global warming.
(Note: there are almost zero “news articles” that purport that global warming is either not happening or not happening because of man. There are however many commentaries that try to discredit the theory of global warming. And those commentaries can sometimes be laughably inaccurate.)
I read one just today by Patrick J. Michaels that made the following claim:
What’s going on? Can the news really be this bad?
The answer is simple: No. Not if mathematics is any guide.
Every time some “new” information is added to a weather forecast, it should have an equal chance of making it warmer or colder. In global warming, which is really just a super-long-range forecast, every new finding should also have an equal chance of making it warmer or cooler, or “worse than we thought” or “not as bad as we thought.”
The author spends the rest of the commentary reflecting on the consequences of his enlightened observation.
Mr. Michaels follows the same basic formula that his fellow disinformation spreaders from the Cato Institute - that revered institution of unbiased enlightenment - use.
- Use a cool tone that sounds like the voice of reason
- Purport to be applying simple logic and/or mathematics
- Apply a dash of false logic
- Misquote a respected scientist who vehemently disagrees with their view
- Support the idea that there is an academic conspiracy to suppress their own view
So lets take apart his argument:
Every time some “new” information is added to a weather forecast, it should have an equal chance of making it warmer or colder.
Lets suppose that this is correct and that our “new” information is always 100% accurate. I should expect that over time the changes would average out 50% warmer, 50% cooler. So, I start making my measurements and low and behold it just keeps getting cooler. There might be a few days here and there that were warmer than the previous day but I’ve noticed that after 3 months of collecting new information the temperature has dropped by 20 degrees. Oh boy, what ever happened to global warming. We must be headed for a new ice age!
But wait, I started gathering weather data in September. Of course, it’s winter now and that’s why the temperature is dropping. So no, each “new” piece of weather data doesn’t have an equal chance of producing a warmer or cooler affect.
If you were to say, “well, maybe he didn’t mean on a day-by-day scale but a much longer scale.” Okay, then how would he explain the Little Ice Age that Europe went through from the 16th-19th centuries? Or even the glacial periods that have lasted for 100s of thousands of years at a time and then the interglacial periods that last for 10s of thousands of years?
So no, our “new” information is not just as likely to create a warming or cooling affect.
His second mistake, and much more subtle one that many people will miss, is his phrasing: “an equal chance of making it warmer or colder.”
You see, collecting data does not make it warmer or cooler. The only affect the data has is on the model. It does nothing to the environment. But that’s what he implies with his wording.
So please be careful when reading commentaries that sound like the voice of reason in a den of panic. If you want to believe one way or another then you can find plenty to read to support your desired outlook. But if you don’t want to be misled then you’ll have to lead yourself by reading critically.