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142 comments on Cassandra's curse: how "The Limits to Growth" was demonized
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142 comments on Cassandra's curse: how "The Limits to Growth" was demonized
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A fine essay, thank you.
Reminds me of a time when I was part of an academic workshop and brought up Limits to Growth with one of my colleagues (who I really like and respect) and he blurted out "but they got all their predictions wrong." I just stopped in my tracks, dumbfounded, because I had just read the book and it appeared to have done just the opposite: not making any "firm" predictions, while still developing frightening scenarios that looked eerily familiar when reading the news.
Exactly so, and thank you Ugo. I read the original in 1972 and have always held the view that Meadows et.al. got it about right and so I have let the book influence me throughout my adult life. I think it has helped me to see the world as it really is. I commend, to those who haven't read it yet, the 2005 version, Limits to Growth the 30 Year Update, Meadows, Randers and Meadows. Pub. Earthscan.
I can say that it had a similar impression upon me as a new engineering (ChE) student. We were required to read it as part of the Introduction to Engineering Course that we all took. Seems we read Jay Forrester's work before LTG came out.
The lesson objective was that in dealing with complex exponentials counter-intuitive outcomes and counter-intuitive steps to "prevent" disaster were likely to be required and definitely considered.
It is a common experience. Still last month I was interviewed by a journalist who started it asking me something like: "Don't you think that your views could turn out to be as wrong as the predictions of the Club of Rome in the 1970s?" The power of propaganda is truly awesome.
I have read M R Simmons summary "Revisiting the Club of Rome", also his book TITD.
Is the CERA Lynch/C.J Campbell saga not disimilar to this? Campbell is often accused of incorrectly predicting oil depletion dates. I,m not sure he actually did. He may have made reference to dates, but not necessarily predictions. From where I'm standing, the Simmons/Campbell camp may have the last "laugh" on this one. (It won't be funny)
Hi Ugo,
Thank you for the thoughtful post and starting this discussion. I have also had the experience, after a seminar, of hearing, "Your work is like Limits to Growth and the Club of Rome. They got it wrong."
In that context, it is interesting to look at nonrenewable resource use in the two scenarios from Limits to Growth, The 30-Year Update, shown below.
Figure 4-11 Scenario 1: A Reference Point
Figure 4-12: More Abundant Nonrenewable Resources
"Resources" in the graph means nonrenewable resources, and the top of the resources scale is given in Appendix 1 as 2x10^12. The units are not specified, but if we identify fossil fuels with nonrenewable resources, Ttoe is a reasonable fit. If this interpretation is wrong, someone please correct me. In Scenario 1, the ultimate would then be 1Ttoe, and the cumulative production would reach half of this by 2016. In Scenario 2, the ultimate would be 2Ttoe, and we would reach the half-way point by 2040. This range of years for the half-way point would probably be considered reasonable by many Oil Drum regulars.
There are 8 other Scenarios in the book, and they all use the higher ultimate. The nonrenewable resource use in most is similar to Scenario 2, but there are a wide range of responses for the other quantities.
Dave
Seconded (both your praise of Ugo's post and the following note).
I never cease to be amazed at how many people misunderstood LTG...
Look, do you guys seriously expect people to read something before criticising it?
Next you'll be saying we have to taste a meal before saying it's good or bad, watch a movie before reviewing it, and look at a woman before deciding she's ugly.
Really this is just a ridiculous standard that's being set here.
As an undergraduate at Carnegie-Mellon in the early seventies, one of the profs actually got a copy of the program used and we got to run it for one of our chem-eng courses (box of Fortran cards running on an IBM 360). Made an impression on me at the time, mainly because of the assumptions you had to make to not have a disaster in the 21st century.
I graduated from high school the year LTG came out. I was fascinated by the idea and had some programming experience so took on the project of translating the code in Jay Forrester, "World Dynamics" into Fortran and duplicating his results. I would have arguments with my dad in those days about the validity of the whole thing. I would argue that if you did not like some aspect of the model, then suggest something more likely - and we can test out that supposition. My father would argue that there are human factors - our response to conditions, that can't be included in models. We are at the crossroads now. Is humanity able to collectively see our current conundrum and change direction in time, or are we subject to the coefficients in the LTG models?
Since that time the study of complex systems has become an independent discipline of its own. We now know more about the evolution of chaotic systems, about islands of stability, and bifurcation in state space to new uncharted regimes. At the time, the LTG study just said that when the lines on the graphs became too vertical, the models broke down. From the perspectives of complexity theory, this is still the way it is - we just expect that after a period of unpredictable thrashing, the system will come to another quasi-stable equilibrium - that may or may not include a population of human beings.
I think a key problem for those of us trying to prepare for the future is the tendency of humans (reinforced by the media) to want "predictions." I was struck by how the Limits to Growth study discussed scenarios - which opponents then claimed were predictions. Problem is, no one can predict the future - but we can reasonably consider the evidence and anticipate possible scenarios as to what might happen, so as to be prepared, as Limits to Growth was advocating.
Even though the Limits to Growth didn't fall into The Prediction Trap (the title of my upcoming book, which you can preview at my web site), their opponents realized the power of painting the study as a prediction. As noted, if you demolish one prediction, credibility for the rest of the information plummets - though for some reason this doesn't seem to apply to economic predictions...
In fact, maybe that is the way out for Peak Oil awareness. Rather than trying to convince people of peak oil, maybe we should make a significant effort to publicize the predictions of peak oil deniers - like the oil price predictions that the EIA and others have made for years, that are widely off base.
P.S. Another frustrating piece of history: Jimmy Carter's speech on energy April 18, 1977:
http://millercenter.org/scripps/digitalarchive/speeches/spe_1977_0418_ca...