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∙ Complicated systems produce unexpected outcomes.
∙ The total behavior of large systems cannot be predicted.
The Non-
∙ A large system, produced by expanding the dimensions of a smaller system, does not behave like the smaller system.
LeChateliers's Principle:
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∙ The real world is whatever is reported to the system.
∙ If it isn't official; it didn't happen.
∙ If it's made in
∙ A system is no better than its sensory organs.
∙ To those within a system, the outside reality tends to pale and disappear.
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∙ Complex programs never run.
∙ Anything worth doing once will probably have to be done twice.
The Functional
∙ In complex systems, malfunction and even total nonfunction may not be detectable for long periods, if ever.
The Kantian Hypothesis -or- Know-Nothing Theorem:
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Growth: ∙ Systems tend to grow, and as they grow, they encroach. The Big-Bang Theorem of Systems-Cosmology: ∙ Systems tend to expand to fill the known
universe. Parkinson's Extended Law: ∙ The system itself tends to expand at 5-6% per annum. The Generalized Uncertainty Principle: ∙ Systems display antics.
∙ Complicated systems produce unexpected outcomes. ∙ The total behavior of large systems cannot be predicted. The Non-
Systems-Behavior -or- Climax Design Theorem: ∙ A large system, produced by expanding the dimensions of a smaller system, does not behave like the smaller
system. LeChateliers's Principle: ∙ Complex systems tend to oppose their own proper function. ∙ Systems get in the way. ∙ The system always kicks back. ∙
Positive feedback is dangerous. Functionary's Falsity: ∙ People in systems do not do what the system says they are doing. ∙ The function performed by a
system is not operationally identical to the function of the same name performed by a man. ∙ A function performed by a larger system is not operationally
identical to the function of the same name performed by a smaller system. The Fundamental Law of Administrative Workings: ∙ Things are what they are
reported to be. ∙ The real world is whatever is reported to the system. ∙ If it isn't official; it didn't happen. ∙ If it's made in
automobile. ∙ A system is no better than its sensory organs. ∙ To those within a system, the outside reality tends to pale and disappear. ∙ Systems attract
systems-people. ∙ For every human system, there is a type of person adapted to thrive on it or in it. ∙ The bigger the system, the narrower and more
specialized the interface with individuals. Administrator's Anxiety: ∙ Pushing on the systems doesn't help. It just makes things worse. ∙ A complex system
cannot be "made" to work. It either works or it doesn't. ∙ A simple system, designed from scratch, sometimes works. ∙ A simple system may or may not work.
∙ Some complex systems actually work. ∙ If a system is working, leave it alone. ∙ A complex system that works is invariably found to have evolved from a
simple system that works. ∙ A complex system designed from scratch never works and cannot be patched up to make it work. You have to start over, beginning
with a working simple system. ∙ Programs never run the first time. ∙ Complex programs never run. ∙ Anything worth doing once will probably have to be done
twice. The Functional
The Kantian Hypothesis -or- Know-Nothing Theorem: ∙ Large complex systems are beyond human capacity to evaluate. The Newtonian Lay of Systems-Inertia: ∙ A
system that performs a certain way will continue to operate in that way regardless of the need of of changed conditions. ∙ A system continues to do its
thing, regardless of need. ∙ Systems develop goals of their own the instant they come into being. ∙ Intrasystem goals come first. Failure-Mode Theorems: ∙
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assumed name.
</pre>
Output when specifying: <tt> ,
<pre style="height:15ex;overflow:scroll">
────────── Computer programming laws ────────── The Primal Scenario -or-
Basic Datum of Experience: ∙ Systems in general work poorly or not at all. ∙
Nothing complicated works. ∙ Complicated systems seldom exceed 5% efficiency.
redistributing energy into different forms and into accumulations of
different sizes. Laws of Growth: ∙ Systems tend to grow, and as they grow,
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expand to fill the known universe. Parkinson's Extended Law: ∙ The system
itself tends to expand at 5-6% per annum. The Generalized Uncertainty
Principle: ∙ Systems display antics. ∙ Complicated systems produce unexpected
Advanced Systems Theories: ∙ Everything is a system. ∙ Everything is a part
name.
</pre>
Output [justified] when specifying: <tt> , 70 both </tt>
<pre style="height:15ex;overflow:scroll">
────────── Computer programming laws ────────── The Primal Scenario -or-
unnecessarily multiplied. The Law of Conservation of Energy: ∙ The total
amount of energy in the universe is constant. ∙ Systems operate by
redistributing energy into different forms and into accumulations of
different sizes. Laws of Growth: ∙ Systems tend to grow, and as they grow,
they encroach. The Big-Bang Theorem of Systems-Cosmology: ∙ Systems tend to
expand to fill the known universe. Parkinson's Extended Law: ∙ The system
itself tends to expand at 5-6% per annum. The Generalized Uncertainty
Principle: ∙ Systems display antics. ∙ Complicated systems produce unexpected
outcomes. ∙ The total behavior of large systems cannot be predicted. The
Non-Additivity Theorem of Systems-Behavior -or- Climax Design Theorem: ∙ A
large system, produced by expanding the dimensions of a smaller system, does
not behave like the smaller system. LeChateliers's Principle: ∙ Complex
systems tend to oppose their own proper function. ∙ Systems get in the way. ∙
The system always kicks back. ∙ Positive feedback is dangerous. Functionary's
The function performed by a system is not operationally identical to the
function of the same name performed by a man. ∙ A function performed by a
performed by a smaller system. The Fundamental Law of Administrative
Workings: ∙ Things are what they are reported to be. ∙ The real world is
whatever is reported to the system. ∙ If it isn't official; it didn't happen.
∙ If it's made in Detroit, it must be an automobile. ∙ A system is no better
than its sensory organs. ∙ To those within a system, the outside reality
tends to pale and disappear. ∙ Systems attract systems-people. ∙ For every
individuals. Administrator's Anxiety: ∙ Pushing on the systems doesn't help.
It just makes things worse. ∙ A complex system cannot be "made" to work. It
either works or it doesn't. ∙ A simple system, designed from scratch,
sometimes works. ∙ A simple system may or may not work. ∙ Some complex
be patched up to make it work. You have to start over, beginning with a
working
programs never run. ∙ Anything worth doing once will probably have to be done
twice. The Functional indeterminacy Theorem: ∙ In complex systems,
malfunction and even total nonfunction may not be detectable for long
periods, if ever. The Kantian Hypothesis -or- Know-Nothing Theorem: ∙ Large
complex systems are beyond human capacity to evaluate. The Newtonian Lay of
Systems-Inertia: ∙ A system that performs a certain way will continue to
operate in that way regardless of the need of of changed conditions. ∙ A
system continues to do its thing, regardless of need. ∙ Systems develop goals
of their own the instant they come into being. ∙ Intrasystem goals come
first. Failure-Mode Theorems: ∙ Complex systems usually operate in failure
mode. ∙ A complex system can fail in a infinite number of ways. ∙ If anything
can go wrong, it will. ∙ The mode of failure of a complex system cannot
ordinarily be predicted from its structure. ∙ The crucial variables are
discovered by accident. ∙ The larger the system, the greater the probability
of unexpected failure. ∙ "Success" or "function" in any system may be failure
in the larger or smaller systems to which the system is connected. ∙ In
setting up a new system, tread softly. You may be disturbing another system
that is actually working. The Fail-Safe Theorem: ∙ When a fail-safe system
fails, it fails by failing to fail safe. ∙ Complex systems tend to produce
complex responses (not solutions) to problems. ∙ Great advances are not
produced by systems designed to produce great advances. ∙ Loose systems last
longer and work better. ∙ Efficient systems are dangerous to themselves and
to others. The Vector Theory of Systems: ∙ Systems run better when designed
to run downhill. ∙ Systems aligned with human motivational vectors will
sometimes work. Systems opposing such vectors work poorly or not at all.
Advanced Systems Theories: ∙ Everything is a system. ∙ Everything is a part
of a larger system. ∙ The universe is infinitely systematized, both upward
[larger systems] and downward [smaller systems]. ∙ All systems are infinitely
complex. (The illusion of simplicity comes from focusing attention on one or
a few variables.) ∙ Parameters are variables travelling under an assumed
name.
</pre>
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