Executive Summary of A Model in Crisis
The problem we seek to help solve is the
global environmental sustainability problem. The problem was
identified in 1972 by the first edition of Limits to Growth.
It described the problem this way:
“If the present growth trends
in world population, industrialization, pollution, food production,
and resource depletion continue unchanged, the limits to
growth on this planet will be reached sometime within the
next one hundred years. The most probable result will be
a rather sudden and uncontrollable decline in both population
and industrial capacity.”
However, despite heroic
efforts by many individuals and organizations, civilization
has failed to solve the problem. Environmental carrying capacity
overshoot continues to grow, with no overall credible solution
is sight. As the third edition of Limits to Growth lamented
in 2004, “humanity has largely squandered
the past 30 years.”
Our
premise is that it is possible to take an analytical approach
to the problem and solve it, if it is still solvable. This
is because present solution efforts, while well intentioned,
are based on little more than intuitive hunches and educated
guesses. This works for simple everyday problems, the kind
people are accustomed to solving. But it fails disastrously
for complex system problems, such as the global environmental
sustainability problem.
Intuitive hunches and educated guesses
are the equivalent of solving a problem by trial and error.
If a problem has a small number of solutions to try, and there
is plenty of time, and erroneous solutions do not make the
problem worse or insolvable, then trial and error can work.
But this is not the case here.
This book presents
an example of a sufficiently mature analytical problem solving
approach. It is built around the same line of attack science
has found so successful: a process tailored to the problem
type. For science this is the Scientific Method. For complex
social system problems this is the System Improvement Process,
though any suitable process would do.
This process has been applied in a rigorous manner. The
key findings so far are:
1. The model civilization is using
to run itself is in crisis, because it has failed to achieve
its objective of running civilization “well.”
2. The “social side” of the problem is the crux,
not the “technical side.” Society
knows what it must do to survive: live sustainably.
Technically there are many practical ways
to do this. But for strange and mysterious
reasons society doesn’t want to
do them. This is “change
resistance,” which is the social side
of the problem.
3. Analysis of the agents involved shows
there is one super agent that has essentially
become the New Dominant Life Form. This is
the modern corporation. Because it profits
more from unsustainability it is against
solving the problem. From this we conclude
that the key to solving the social side of
the problem is solving the New Dominant Life
Form problem.
4. A simulation model hypothesizes
that the social side of the problem is caused by a dominant “race
to the bottom among politicians.” This occurs
because presently politicians can gain more supporters
through falsehood and favoritism than they can
through the truth and no favoritism.
5. It appears the social side of the problem
can be solved by structural changes which cause
the race to the bottom to no longer be dominant.
Instead, the race to the top among politicians
becomes dominant. Since the race to the top is
based on truth, it can correctly address the
problem, starting by giving it the top priority
it deserves.
6. The structural changes required can be accomplished
by pushing on the proper high leverage points
of the human system. According to the simulation model
these are (1) ability to detect deception, (2) repulsion
to corruption, and (3) quality of decision making.
7. By contrast, conventional problem
solving efforts tend to fail because they are pushing on
low leverage points, such as “more truth memes.”
8. A rigorous, analytical, process driven approach to the
complete problematique has not yet been
tried. Nor has the solution of pushing on the three high leverage
points. Therefore there is a glimmer of rational hope.