Remember the "
tech bubble" or the "
housing bubble? If so, keep those in mind when you you say out the following words out loud, "
global warming bubble".
Bubbles occur when there is speculation in the marketplace. Essentially, the market gets ahead of the product and demand outstrips supply.
The conventional wisdom was that the prices of technology stocks would continue up unabated. The conventional wisdom was that housing prices would always continue to rise. Looking backwards at the tech and housing bubbles it seems impossible that we missed the warning signs. So is the case with the global warming bubble.
I am not going to waste any time discussing the motives of the individuals and institutions which are critical in this unwinding tale. But stand assured that Johnson's First Law will be invoked: It is always about money.
There will be plenty of stories which will focus on the individuals. Rather, I am interested in the process by which the global warming became a "fact" and the data which created that "fact."
Much ado about the global warming bubble was created by a handful of scientists who have manipulated data and models which have resulted in scenarios where terrible things happen.
While I don't know anything about climate science, I do know a great deal about crunching data. I know for a fact that if you give me enough data points that I can, with selective processing, prove virtually any point. As they say, "
Liars figure."
I have direct personal experience developing computer models. I have directed the development of two software models approved by the Navy for use of use. In each case, the model included a software representation of the physical world. The process in creating the models required strict adherence to systems engineering principles and the development of systems engineering artifacts which provide the framework within which the models will operate. Examples of those artifacts include: Systems Engineering Plan (SEP), Program Management Plan (PMP), Risk Management Plan (RMP) and Configuration Management Plan (CMP).
Critical in the model development is the Verification, Validation and Accredidation (VV&A) process which concludes with the determination of the model is a suitable representation
AND, itemizes those areas or weaknesses in the model which any decision maker should be made aware. It is not a blanket approval, or disapproval. This is a critical difference between the models which I have developed and those which have been developed by the climate scientists - there is no disclosure of the weakness of their models.
My processes seem to differ significantly from those used by the University of East Anglia's Hadley Climate Center. The Center used a series of peer reviews to accredit the models and reports related to global warming. Absent from the peer review process is any one individual or institution whose job it is to be skeptical. In fact, it appears that the peer reviews of the Center's key climatic documents were accomplished with those who agreed with the authors. Far from being skeptics, the peer reviewers were closely aligned with the authors. (
Note: The Center actually deleted data which was contrary to their "sky is falling" position in their calculations. I'll write more about their apparent cooking of the data in a future post.)
Another big difference: I have a government agency with which I work, whose duty is to be the professional skeptic and to challenge my systems engineering process as well as my data. Their presence ensures that I am not bending the data one way or the other as I seek a software solution within cost, schedule and performance. They keep me honest. The climate scientist have no analog for this watchdog.
My entire software development process is an open book to those who review my software development program. The professional skeptics, in fact, can hire a second set of systems engineers to audit my processes to ensure to their satisfaction that my systems engineering process is valid and my results are reliable.
The data from the Center has, until recently liberated, been a well-kept secret. While the emails and certain documents seem to provides some understanding of their internal process, it does not provide the raw data and meta data which are essential for independent review and authentication.
Politics aside, there are a number of key actions which should be taken by the scientific community to re-establish their position as revealers of truth. As
Dr. Judy Curry notes two areas requiring immediate remediation in a recent posting to the
Climate Audit blog:
"
Transparency. Climate data needs to be publicly available and well documented. This includes metadata that explains how the data were treated and manipulated, what assumptions were made in assembling the data sets, and what data was omitted and why. This would seem to be an obvious and simple requirement, but the need for such transparency has only been voiced recently as the policy relevance of climate data has increased."
"
Climate tribalism. Tribalism is defined here as a strong identity that separates one’s group from members of another group, characterized by strong in-group loyalty and regarding other groups differing from the tribe’s defining characteristics as inferior. In the context of scientific research, tribes differ from groups of colleagues that collaborate and otherwise associate with each other professionally. As a result of the politicization of climate science, climate tribes (consisting of a small number of climate researchers) were established in response to the politically motivated climate disinformation machine that was associated with e.g. ExxonMobil, CEI, Inhofe/Morano etc. The reaction of the climate tribes to the political assault has been to circle the wagons and point the guns outward in an attempt to discredit misinformation from politicized advocacy groups."
Bottom line: We may have seen the beginning of the end of the Global Warming Bubble. The lack of scientific methods and consistent systems engineering principles render the opinions of the "sky is falling" scientific crowd as void. In the end, the actions of the global warming actors may dwarf the fraud of Bernard Madoff.