Skip to main content

Climate Change - Maybe

June 13, 2012
Climate Change
Of course there is climate change.  The climate is always changing.  Actually, what would it mean to say the climate is not changing?

So, when people talk of climate change they are implying “man made global warming,” a term that has been tarnished of late, not to mention a couple of record cold winters in various parts of the world also of late.   

For climate change, there is lots of evidence.  Ice packs are receding, sea levels are rising, and temperatures are up in the last century.  Researchers use even finer measures that look back centuries using data from ice cores, tree rings, and corals. Moreover, they use indices of volcanism, solar variability, changes in GHGs (Greenhouse Gases), and tropospheric aerosols.  Then, they build models based on all this showing that standard deviations are terrifically small for the nine centuries prior to the 20th  where the changes took place.  They conclude that “most of the warming must be due to the anthropogenic* increase in GHG.”

Let’s consider the model.  First of all, it is substantially a statistical model of an the almost flat temperature curve.  Basically, then they regress the curve to the data and conclude that because the 20th century data doesn’t quite fit, there must be something happening.  But the simple fact is there are many types of data that seem extremely flat but then change abruptly – exponential data with a small growth constant can be regressed with a linear function with spectacular results, until the exponential data rises sharply.   Second, most studies use uncertain and indirect data from highly variable sources to derive (old) data with which to compare extremely accurate (new) data.  Third, they use their model to predict the past.  But as we know temperature is a thermodynamic process which is not reversible.  Therefore, any model that predicts the past must be a little suspect.  Finally, they make the great leap is made to conclude that what is happening, i.e. the temperature increase, must be caused by us (that’s the anthro part of anthropogenic).   Finally (the last finally), they use their models which does not predict the temperature change to predict tremendous temperature increases in the century ahead.  Finally (ok one more), only 1000 years of data is used.  This is just an eye-blink in the geologic time frames.  One thousand years less than  is one-ten thousandth of one percent of the age of the earth!!

These are serious, well meaning scientists that are into weather prediction on decadal and century scales.  There is no doubt their data has some meaning and further study is needed.  Clearly, cutting back on GHG emissions is a good thing.   But currently, actual weather prediction is scarcely accurate for two weeks in advance – and the weather guys use the badest and most powerful computers available, and really, really sophisticated mathematical models, and massive amounts of data.   That’s for forecasting just week or two out.

Now for the cynical side of this story...  Without global warming (oops, I meant climate change), the green movement would totally chill.  There are far too many people completely vested in these ideas, and simply want to believe in the anthropogenic explanation.   Mind you, green is good, it’s the supporting science and evidence that is bad.

Recipe for a Nobel prize:  Take a pinch of flawed data; mix thoroughly with some bad science; draw a thoroughly emotional conclusion.  Write a book; make a movie.  Voila!
*Anthropogenic: caused or produced by humans.  (They love this word; in one brief five page paper the word was used no fewer than 20 times.)

Comments

Popular posts from this blog

Behavioral Science and Problem-Solving

I.                                       I.                 Introduction.                Concerning our general behavior, it’s high about time we all had some understanding of how we operate on ourselves, and it is just as important how we are operated on by others. This is the wheelhouse of behavioral sciences. It is a vast subject. It touches our lives constantly. It’s influence is pervasive and can be so subtle we never notice it. Behavioral sciences profoundly affect our ability and success at problem-solving, from the elementary level to highly complex wicked problems. This is discussed in Section IV. We begin with the basics of behavioral sciences, Section II, and then through the lens of multiple categories and examples, Section III. II.     ...

Where is AI (Artificial Intelligence) Going?

  How to view Artificial Intelligence (AI).  Imagine you go to the store to buy a TV, but all they have are 1950s models, black and white, circular screens, picture rolls, and picture imperfect, no remote. You’d say no thanks. Back in the day, they sold wildly. The TV was a must-have for everyone with $250 to spend* (about $3000 today). Compared to where AI is today, this is more or less where TVs were 70 years ago. In only a few decades AI will be advanced beyond comprehension, just like TVs today are from the 50s viewpoint. Just like we could not imagine where the video concept was going back then, we cannot really imagine where AI is going. Buckle up. But it will be spectacular.    *Back then minimum wage was $0.75/hr. Thus, a TV cost more than eight weeks' wages. ------------------------- 

Fake News

If you've been following the news the last couple of days, you will note the flurry of copy devoted to fake news.  Both sides are blaming whatever has befallen them the consequence of fake news.  Let's look at this phenomenon a bit.    When I was a student years ago, a friend climbed some mountain in Peru.   A article was written in the local newspaper about the event.   In only three column inches, the newspaper made about six errors.   An easy article to write you say?   Just interview and reproduce.   Yet so many errors?   The question is this: was this fake news or bad reporting?   The idea here is that fake news comes in various flavors. Bad reporting – errors made by the author or editor Opinion presented as news     Deliberate creation of falsehoods to favor a point of view       The reporting of selected truths to favor a particular point of view Now we have the big social media ...