[FoRK] The Limits to Growth Revisited

Eugen Leitl eugen at leitl.org
Tue Jun 28 06:39:06 PDT 2011


Sunday, June 26, 2011

The Limits to Growth Revisited

This book has been a lot of work for me but, finally, it is done. "The Limits
to Growth Revisited" has been published by Springer in June of this year.

In some respects, "The Limits to Growth Revisited" is a rather technical
book. It goes in some depth in describing the controversy that flared between
critics (mainly economists) and supporters of the system dynamics methods
used for the 1972 study "The Limits to Growth" (LTG). But "LTG revisited" is
not just a technical book. It also tells the whole story of the LTG study:
how it was conceived, what were the political reactions to it, how it was
demonized and misunderstood, and what is its relevance - also in its more
recent versions of 1992 and 2004 - to the present situation of the world.

Writing this book has been a fascinating work. Re-examining the story of LTG
opens up a whole new world that urban legends and propaganda had tried to
bury under a layer of lies and misinterpretations. We all have heard of the
"mistakes" that the authors of LTG, or their sponsors, the Club of Rome, are
said to have made. But LTG was not "wrong": nowhere in the 1972 book you find
the mistakes that are commonly attributed to it. LTG never predicted
catastrophes to occur soon, never estimated that some specific mineral
resources should run out by some specific date, it never contained prophecies
of doom. In other words, LTG was not, and never was, "Chicken Little with a

What caused the demonization of the study was, in large part, the fact that
it was so new and so advanced for its times that it was widely misunderstood,
often by its supporters as well as by its detractors. But the
misunderstanding was enhanced by a media campaign very similar to the one
that has been recently directed against climate science. The trick of these
campaigns is always the same: find a single mistake and use it to demonize
the whole concept. It doesn't matter that the mistake is real or an
invention, it doesn't count whether it is relevant or not. It is enough to
repeat the concept of "mistakes" a large number of times to confuse the
public and cloud the issue. In recent times, the method has been used to
demonize climate science with the alleged mistake found in the "hockey stick"
temperature reconstruction of past climate. For LTG, the "mistake" was found
in a few numbers taken from just one of the many tables of the 1972 book.
There was nothing wrong in these numbers, but the concept of the "mistakes of
the Club of Rome" went viral and it is still widespread, and perhaps
prevalent, whenever the LTG study is mentioned today.

Understanding the real message that LTG sent to us in 1972, and that it is
still sending, takes a certain effort. First, you have to free your mind from
the layers of legends that have accumulated around it over four decades, but
that is not enough. You have to free yourself also from the common attitude
that prevents us from understanding how complex systems behave. There is no
fixed future for systems such as the world's economic system, only trends.
But these systems still obey physical laws: the limits of natural resources,
the finiteness of the world system, the concentration of greenhouse gases in
the atmosphere. And there are the constants of human behavior: mainly our
tendency of preferring immediate satisfaction to a future one, a phenomenon
known as "discounting the future."

All together, these factors push the world system to follow a well defined
path. We cannot determine exactly what the future will be, but we can produce
a "fan" of trajectories that show to us where the system is heading to. The
original 1972 LTG study had already identified the main factors that have
been dominating the behavior of the world's economy. The combined effects of
resource depletion and pollution accumulation (seen today mainly in terms of
climate change) have been gradually reducing the ability of the industrial
system of accumulating capital and of fuelling growth. These factors will,
eventually, cause the world's industrial and agricultural systems to start a
decline that could be defined as "collapse" which, later on, will involve
also the collapse of the world's population.

It is not possible to determine exact dates for these events but, still, the
insight that this kind of modelling offers to us is amazing. Just think how
the LTG scenarios of 40 years ago can be interpreted as indicating that the
worldwide financial crisis that occurred in 2008 may be the first hint of the
impending collapse of the world's economy. Note also how these scenarios also
anticipate the present debate on whether climate change or "peak resources"
is the most important problem that we face. Dynamic modelling is a flexible
tool, something that enhances the capability of the human mind to understand
the world that surrounds us. The 1972 LTG study was the first to use this
tool, but it is not the only possible way. Simpler dynamic models will tend
to produce the same final outcome.

If we use this tool, and we use it wisely, we can discover that nothing of
the future is written in stone. The future is something that we create every
day with our actions. At the same time, we can also discover that the future
has a life of its own, that it resents being forced into what we think it
should be on the basis of obsolete ideologies. We will have to adapt to the
future and that may not be painless but, if we try to understand the future,
we may discover that it doesn't need to be our enemy.

I have to thank a lot of people for their help and support with this book,
but the whole list would be too long here - you can find it in the book. Let
me just mention the main ones: Charles Hall, who made this book possible, and
Dennis Meadows and Jorgen Randers, two of the authors of the first 1972 LTG
study whose contribution was essential for my work. I would also like to
mention the help of Jay Forrester, the father of system dynamics, well in his
'90s when this book was written but who, nevertheless, provided me with
precious insight and information on the story of dynamic modelling. The book
is dedicated to the memory of Matt Simmons, who was among the first to
re-evaluate the LTG study after it had been demonized in the 1990s.

You can read the introduction to "The Limits to Growth Revisited" on Google
Books. Here is the description of the book that you can find on Springer's

“The Limits to Growth” (1972) generated unprecedented controversy with its
predictions of the eventual collapse of the world's economies. First hailed
as a great advance in science, “The Limits to Growth” was subsequently
rejected and demonized. However, with many national economies now at risk and
global peak oil apparently a reality, the methods, scenarios, and predictions
of “The Limits to Growth” are in great need of reappraisal. In The Limits to
Growth Revisited, Ugo Bardi examines both the science and the polemics
surrounding this work, and in particular the reactions of economists that
marginalized its methods and conclusions for more than 30 years. “The Limits
to Growth” was a milestone in attempts to model the future of our society,
and it is vital today for both scientists and policy makers to understand its
scientific basis, current relevance, and the social and political mechanisms
that led to its rejection. Bardi also addresses the all-important question of
whether the methods and approaches of “The Limits to Growth” can contribute
to an understanding of what happened to the global economy in the Great
Recession and where we are headed from there.

    Shows how “The Limits to Growth” is a subject more relevant today than
when the book was first published Demonstrates how scenario-building using
system dynamics models or other methods is an essential tool in understanding
possible futures Examines the factors that may lead to the rejection of good
science when the conclusions are unpleasant Separates the reality that the
future can never be predicted with certainty from the need to prepare for it

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