This document provides an introduction to systems thinking concepts and diagrams. It begins with definitions of systems thinking from thinkers like Peter Senge and Jay Forrester. It then explains common systems thinking diagrams like causal loop diagrams, system archetypes, and variables. Specific concepts discussed include balancing and reinforcing feedback loops, goals and reactions, delays, and extreme effects. Guidance is provided on conventions for modeling systems diagrams. The document concludes with links to additional systems thinking content.
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Drawing Conventions for System Modeling 1/6
There are several iconic symbols sets used
in System Thinking.
You will find them widely in VSM textbooks
or presentations on Slideshare and similar
platforms.
Since we are interested in this Primer as
well in the Flow of Value as in the System
Dynamics, we use the so called Causal
Loop and, System Archetype diagrams
to show the dynamics, and use those icons
to depict the system variables / entities in
more detail via annotated notes (Post-Its).
Examples:
• https://www.slideshare.net/subhra2jyoti/value-stream-mapping-the-concept, or
• https://www.slideshare.net/mohiuddinshojib/waste-identification-trough-vsmvalue-
stream-mapping-pptx-final
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9/3/2017
Drawing Conventions for System Modeling 2/6
System Archetypes Causal Loops
Balancing feedback will stabilize
a system’s behavior.
The B in the middle identifies the
loop as balancing.
Reinforcing feedback will
amplify a system’s behavior.
The R in the middle identifies the
loop as Reinforcing.
burn-down rate effects defects directly: the
higher the burn-down, the more (potential
defects);
However, defects decrease burn-down rate
(due to immediate bug fixes). – The letter “O”
depicts “opposite effect”.
burndown_rate
#defects
O
Use the VSM icon set to annotate diagrams where necessary.
A
B
C B
A
B
C R
R
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Variables
Causal
Links
Opposite
Effects
Constraints
Drawing Conventions for System Modeling 3/6
burndown_rate
#defects
burndown_rate
#defects
O
burndown_rate
#defects
O
#developers
budget_$
C
?
if A goes up, B goes down, e.g.:
A constraints B. Constraints are not causal
links!
quantifiable entity
at first glance unknown causality with same
effect: if A goes up, B goes up, and vice
versa.
Caution: be aware of Weinberg-Brooke’s
Law and Causation Fallacy.
??
Defects decrease burn-down_rate
Budget constraints Nbr of developers
burndown_rate, #defects
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Goals &
Reactions
Quick-fix
reactions
Drawing Conventions for System Modeling 4/6
Goals and reactions often generate pressure to
the system
Often it leads to a local optimization, i.e. focusing
on one property may have unintended effect on the
system as a whole.
burndown_rate
#defects
O
#developers
budget_$
C
belief
Goal: higher
burndown_rate
pressure to try actions
for higher
burndown_rate
QF
hire_rate
A Quick-fix is a reaction hoping to achieve the goal.
Goals and Reactions are supplemental notes
aligned to the picture.
burndown_rate
#defects
O
#developers
budget_$
C
?
pressure to try actions for
higher burndown_rate
Goal: higher
burndown_rate
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Quick-fix
reactions
(cont.d)
Extreme
effects
Drawing Conventions for System Modeling 5/6
burndown_rate
#defects
O
# low_skill
_developers
budget_$
C
belief
Goal: higher
burndown_ra
te
pressure to try actions
for higher
burndown_rate
QF
hire_rate_common
hire_rate_cheap
QF
O
burndown_rate
#defects
O
#developers budget_$
C
belief
Goal: higher
burndown_ra
te
pressure to try actions
for higher
burndown_rate
QF
hire_rate_common
hire_rate_cheap
QF
O
Extreme effect have a significantly greater impact
than average. Denote them with a thick line.
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Delay
Drawing Conventions for System Modeling 6/6
Goal: higher
burndown_rate
pressure to try actions for
higher burndown_rate
With a certain delay the code quality
becomes poor when hiring low skilled
developers.
The effect will not show up immediately.
burndown_rate
#defects
O
# low_skill
_developers
budget_$
C
belief
QF
hire_rate_common
hire_rate_cheap
QF
O
code_quality
O
O
Delay
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Short Introduction to System Thinking
Content-Links
• System Thinking
• Brooke’s Law
• Parkinson’s Law of Triviality
• Weinberg-Brooke’s Law
• Postel‘s Law – The Robustness Principle
• Convay‘s Law
• Parkinson’s Law
• Causation Fallacy
• Effectiveness & Efficiency
• Hawthorne Effect
• Campbell’s Law
• Goodhart’s Law
• Limit Work in Progress – WiP limits
• “Stop Finishing, Start Doing!”
• Variation in Demand / Work
• Little’s Law
• How to Fix 90% of Problems at Work
• Pull & Push Systems
• Local Optimization
• Sub-optimization Principle
• Tragedy of the Commons – Using Shared Resources
• Shifting The Burden / Additiction
• Limits to Success
• Drifting Goals
• Escalation
• Fixes That Fail
• Growth and Underinvestment
• Success to the Successful
• Further Reading
https://pixabay.com/de/mann-beobachten-denken-uhr-zeit-372006/
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Postel‘s Law – The Robustness Principle
“Be conservative in what you do, be
liberal in what you accept from others.”
– Jon Postel, Internet pioneer
“An implementation should be conservative in its sending behavior, and liberal in its receiving behavior.”
“Be liberal in what you accept, and conservative in what you send.”
“Be contravariant in your inputs and covariant in your outputs.”
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Convay‘s Law
“Organizations which design systems […] are constrained to
produce designs which are copies of the communication
structures of these organizations.”
– Mel Conway
The inverse might be helpful as well:
Look at complexity of your product design and you will know the complexity of your
organization.
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Correlation does not
imply causation
A Correlation between variables, does
not automatically mean that the change in
one variable is the cause of the change in
the values of the other variable.
Causation indicates that one event is the
result of the occurrence of the other event.
There is a causal relationship between the
two events.
Causation Fallacy
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Efficiency thinking is setting the
quality level as “good enough” we don’t
need to strive for perfection.
Efficiency refers to how well something
is done and increases productivity.
Effectiveness thinking is thinking
about the lifetime of a product (and the
effects on the whole organization
“system”) which in the long run will cost
less. If we do it right first time (which
might be more costly at the outset), it
actually saves our organization money in
the long run).
Effectiveness refers to how useful
something is.
Effectiveness & Efficiency 1/4
– Keivan Zokaei, Lean Enterprise Research Centre
https://modularmanagement.com/us/wp-content/uploads/2016/09/Modular-
Product-Architecture-and-Lean-Effectiveness-and-Capacity.pd
The things rightEfficient
The right thingEffective
Input Output
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Efficiency Thinking (traditional) Effectiveness Thinking (TPS)
Focus on output from given input Focus on delivering fast, responsive flow of
service which will in-turn reduce your Work
in Progress (WIP) and improve profitability
At a given input level (given capacity)
maximize utilization to increase output
Focus on “right first time”
You have to have “spare” capacity
Effectiveness & Efficiency 2/4
Anders Leine, https://modularmanagement.com/us/wp-content/uploads/2016/09/Modular-Product-Architecture-and-Lean-Effectiveness-and-Capacity.pdf
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Goodhart’s Law
“When a measure
becomes a target,
it ceases to be a
good measure."
- Charles Goodhart, British economist
“Goodhart’s law […] states that when a feature of the economy is picked as an indicator of the economy,
then it inexorably ceases to function as that indicator because people start to game it.”
Mario Biagioli, (12 July 2016). "Watch out for cheats in citation game". Nature. 535 (7611): 201. doi:10.1038/435201a. PMID 27411599.
http://collider.com/austin-powers-does-it-hold-up/
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If you’re not limiting your
WIP, then there is no flow.
Your Input area is no more than a
to-do list.
Pick 1 item – You achieve 1 item.
Pick 2 items – You achieve 2 items.
Pick 10 items – You achieve 2
items.
Limit Work in Progress – WiP limits 1/2
https://www.whitesmith.co/blog/limit-wip/
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Why limiting work in progress?
WIP exhausts us mentally. Anything
started but not finished occupies some
part of the available mental capacity.
The more WIP, the more mental energy
is consumed with trying to keep track of it all.
Excessive WIP leads us to distract
accomplishment. When we have a near
infinite stream of things to work on and the
task at hand bogs down, needs help from
elsewhere, becomes unclear, or otherwise
becomes “blocked”, we can easily set it
aside and pick up something else to work on.
Excessing WIP hides process problems and other wastes lurking in
our system.
Limit Work in Progress – WiP limits 2/2
https://www.whitesmith.co/blog/limit-wip/
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„Searching for the magic
bullet is a distracting waste of
resources.
Adapting is a game of singles,
not home runs.“
John S. McCallum
http://iveybusinessjournal.com/publication/adapt-or-die/
“Stop Finishing, Start Doing!”
– Don‘t Wait for The Ultimate Solution!
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Value Demand
Value Demand is product and service delivery that
satisfies customer wants and needs.
Failure Demand
Failure demand is the work originated caused by in the
product mistakes, misshapes, and misunderstanding.
People come back because they didn't get their problem
solved the first time.
Some symptoms of administrative and process Failure
Demand are:
■ Rework
■ Recalls
■ Warranty Work
■ Workarounds to complete tasks
■ Unbalanced work flow
■ Status meetings
■ Complicated work processes known only by selected SMEs
■ Excessive time to deliver
■ Repeated monitoring, inspections and audits
■ Repeated inbound and outbound calls for the same issue
■ Enquires due to inadequate information/unclear instructions
■ Large buffers of time and materials, "just in case"
Variation in Demand / Work
http://www.quickmeme.com/p/3vsy21
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Visualize Your Work
At first glance you will become demotivated
by the amount of work. But then you will
identify certain patters in your work:
smooth flowing and blocking items.
Limit Your Work in Progress
When you limit the amount of things you’re
working on, you force yourselves to focus on finishing. With limits in place
you’re not allowed to start new work before finishing something first. –
We limit work in progress to finish things faster.
How to Fix 90% of Problems at Work 1/2
Credits Sami Honkonen, https://blog.samihonkonen.com/how-to-fix-90-of-problems-at-work-93318a7cb317
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Manage Flow – not departments & work units!
Optimize the whole – not the parts!
Fixing work
The Pareto principle says that by focusing on key areas we can fix the
majority of problems.
How to Fix 90% of Problems at Work 2/2
Credits Sami Honkonen, https://blog.samihonkonen.com/how-to-fix-90-of-problems-at-work-93318a7cb317
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Pull & Push Systems
Push Pull
Make a plan Have a queue of work
and a goal
Track % completion of
plan
Measure throughput and
work done
Buffer plan for
contingencies
Small, frequent tasks to
manage variety
Plan decides what to do
next
People decide what to
do next
Long feedback delay Continuous short
feedback loops
Demand exceeds
capacity
Demand limited to
capacity
Fixed scope and time Fixed work in progress
(WIP)
Forecast based on
estimates
Forecast based on data
Push systems overwhelm capacity,
creating turbulence, rework, waste and
delay
Push
Pull systems have a steady flow that provides
predictability
Pull
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If each subsystem, regarded
separately, is made to
operate with maximum
efficiency, the system as a
whole will not operate with
utmost efficiency.
General Systems Theory (Lars Skyttner)
Sub-optimization Principle
http://www.waspbarcode.com/buzz/5-lean-inventory-principles/
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Tragedy of the Commons – Using Shared Resources
Typical Behavior in Problem Solving:
Breaking problems down into constituent
parts and optimize each individual piece.
This is Sub-optimization leading
to the “Tragedy of the Commons”.
https://www.pexels.com/photo/beach-crowd-sun-world-269944/
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Tragedy of the Commons – Using Shared Resources
The beach is the common good of all people – it’s a
“shared resource”. – Shared usage depletes or
spoils that resource due to collective action of all.
https://www.pexels.com/photo/beach-crowd-sun-world-269944/
“Everyone wants to be at the beach on sunny days.”
Consequences:
• Waiting at ice cream booth
• Waiting at hot dog selling guy
• Very limited space for my towel and me
In “Tragedy of the Commons”, A and B
pursues actions which are individually
beneficial (R1, R2). If the amount of activity
grows too large for the system to support,
however the “commons” becomes
experiences diminishing (B1, B2).
Daniel H. Kim, 1992, 2000: TheSystemThinker.com,
https://thesystemsthinker.com/systems-archetypes-i-
diagnosing-systemic-issues-and-designing-
interventions/
Net Gain
for A
Net Gain
for B
A’s activity
B’s activity
Total
activity
Gain per
individual
activity
Resource
Limit
C
R1
O
R3
R4
R2
O
B6
B5
O
Delay
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Shifting The Burden / Additiction
Shifting The Burden – a pseudo solution “solves” the problem
and diverts attention from the fundamental problem resp. solution.
https://www.pinterest.com/becca6531/stupid-shift-work/
In “Shifting the Burden/Addiction”, a problem is “solved” symptomatically by applying a
pseudo solution (B1) which diverts attention away from the more fundamental solutions (R3). In
an “Addiction” structure, a “Shifting the Burden” degrades into an addictive pattern in which the
side-effect gets so entrenched that it overwhelms the original problem symptom.
Daniel H. Kim, 1992, 2000: TheSystemThinker.com, https://thesystemsthinker.com/systems-archetypes-i-diagnosing-systemic-issues-and-
designing-interventions/
“Waking up each morning always tired.”
Pseudo-Solution: Have a Coffee
Fundamental Solution: Have more sleep!
Pseudo
Solution
Problem
Symptom
Fundamental
Solution
B1
O
R3
Side
Effects
O
B1
O
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Limits to Success
Limiting
Action
PerformanceEffort B2
O
R1
Limiting
Condition
C
In a “Limits of Success” archetype, continued efforts initially lead to improved performance. Over time, however, the system
encounters a limit which causes the performance to slow down or even decline (B2), even as efforts continue to rise.
Daniel H. Kim, 1992, 2000: TheSystemThinker.com, https://thesystemsthinker.com/systems-archetypes-i-diagnosing-systemic-issues-
and-designing-interventions/
https://www.flickr.com/photos/xxxxs/7327844310/
In the Limits to Success – efforts to increase
performance lead to successful results in the short
term, but are limited in the long term by a constraint
on the system.
If we don’t plan for limits, we are planning for failure.
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Drifting Goals
Pressure to
Lower Goal
Goal O
B2
Gap
Actual
Corrective
Action
B1
O
In a “Drifting Goal” archetype, a gap between the goal and current reality can be resolved by taking corrective action (B1)
or lowering the goal (B2). The critical difference is that lowering the goal immediately closes the gap, whereas corrective
actions usually take time.
Daniel H. Kim, 1992, 2000: TheSystemThinker.com, https://thesystemsthinker.com/systems-archetypes-i-diagnosing-systemic-issues-
and-designing-interventions/
https://www.flickr.com/photos/dabofthebrake/10889911323/
Drifting Goals – each time goals are adjusted
downward in the organization, a reinforcing dynamic
occurs which anchors a lax orientation to goal setting
in the culture of the organization.
After some period of time, the organization finds itself
aiming lower and lower to ensure that its goals are
always met.
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Escalation
In an “Escalation” archetype, party A takes actions that are perceived by party B as a thread. B responds in a similar
manner, increasing the thread to A and resulting in more threatening actions by A.
Daniel H. Kim, 1992, 2000: TheSystemThinker.com, https://thesystemsthinker.com/systems-archetypes-i-diagnosing-systemic-issues-
and-designing-interventions/
O
Activity
by A
A’s result
Thread
to A
Activity
by B
B’s result
Thread
to B
Quality of A’s Position
relative to B’s
O
B1 B2
Escalation – a commonly held belief of competition is mounting an
appropriate response to the actions of competitors (a) to sustain
one’s own competitive advantage, (b) to maintain momentum toward
gaining competitive advantage, or (c) because that’s what managers
are supposed to do.
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Fixes That Fail
Unintended
Consequence
O
B1Problem
Symptom
Fix
R2
In a “Fixes that Fail” archetype, a problem symptom needs a resolution. A solution is quickly implemented that alleviates the
symptom (B1), but the unintended consequences of the fix exacerbate the problem (R2). Over time, the problem symptom
returns to its previous symptom level or becomes worse.
Daniel H. Kim, 1992, 2000: TheSystemThinker.com, https://thesystemsthinker.com/systems-archetypes-i-diagnosing-systemic-issues-and-
designing-interventions/
https://revpart.com/tips-to-prevent-your-injection-molding-part-from-failing/
Fixes That Fail – states that a quick-fix solution can have
unintended consequences that worsen the problem.
The problem symptom will diminish for a short while and then return
to its previous level, or become even worse over time.
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Growth and Underinvestment
In a “Growth and Underinvestment” archetype, growth approaches a limit that can be eliminated or pushed into the future
if capacity investments are made. Instead, performance standards are lowered to justify underinvestment, leading to lower
performance which further justifies underinvestment.
Daniel H. Kim, 1992, 2000: TheSystemThinker.com, https://thesystemsthinker.com/systems-archetypes-i-diagnosing-systemic-issues-
and-designing-interventions/
B3
B2
Performance
O
O
Growth
Effort
DemandR1
Perceived Need
to Invest
Performance
Standard
Investment
Capacity
Capacity
http://www.ifpri.org/blog/piecing-together-puzzle-underinvestment-agriculture
Growth and Underinvestment brings special attention
to planning for limits. In this case, it is the capabilities
and core competencies that give firms their competitive
advantage.
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In a “Success to the Successful” archetype, if one person or group A is given more resources, it has a higher likelihood of
succeeding than B (assuming they are equally capable).
The initial success justifies devoting more resources, its success diminishes, further justifying more resource allocations to
A. (R2)
Daniel H. Kim, 1992, 2000: TheSystemThinker.com, https://thesystemsthinker.com/systems-archetypes-i-diagnosing-systemic-issues-
and-designing-interventions/
Success to the Successful
Resources
of B
Success
of A
Resources
of B
Success
of B
Allocation to A
instead of B
O
R1
R2
O
https://www.flickr.com/photos/bs/88228306/
Success to the Successful – describes the common practice
of rewarding good performance with more resources in the
expectation that performance will continue to improve.
There is a belief that the successful [people, departments,
products, etc.] have “earned” their increasing share of
resources through past performance.
In managerial terms this archetype is often the basis for citing
the “80/20” rule.
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• Donald G. Reinertsen 2009: The Principles of Product Development Flow. Second Generation Lean Product
Development. Celeritas Publishing, 2009.
• Daniel S. Vacanti 2015: Actionable Agile Metrics for Predictability: An Introduction. Leanpub, 2015.
• Donella H. Meadows 2008: Thinking in Systems: A Primer. Chelsea Green Publishing Co, 2008.
• Peter Senge 2006: The Fifth Discipline. Crown Business, 2006.
• Peter Senge 1994: The Fifth Discipline Fieldbook: Strategies for Building a Learning Organization. Nicholas Brealey
Publishing, 1994.
• Peter Kline, Bernard Saunders 1993: 10 Steps to a Learning Organization. Pfeiffer Wiley, 1993.
• Linda Booth Sweeney, Dennis Meadows 2010: The Systems Thinking Playbook. Chelsea Green Publishing Co,
2010.
• John Bicheno 2015: The Lean Games and Simulation Book. Picsie Books, 2015
• www.beyondconnectingthedots.com
• www.cognitive-edge.com
• www.systemdynamics.org
• https://thesystemsthinker.com/
Further Reading
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All images used are – if not stated otherwise – taken from flickr.com under Common Creative License.
Julien GONG Min, https://www.flickr.com/photos/bfishadow/3634884928/
Editor's Notes
Wenn Unternehmen größer und komplexer werden, gibt es eine Tendenz zu „Proxies“ – wenn auf einmal weniger wichtige Dinge verwaltet werden und das Wichtige in den Hintergrund gerät. Bezos nennt Prozesse als Beispiel für solche „Proxies“.
Erfahrene Manager müssten Prozesse untersuchen und hinterfragen, wenn etwas nicht läuft, statt diese als Ausrede nehmen nach dem Motto: Wir haben uns ja an die Prozesse gehalten.
C. Northcote Parkinson, Parkinson's Law and Other Studies in Administration (Boston, Houghton Mifflin, 1957).
The act of wasting time on trivial details while important matters are inadequately attended is sometimes known as bikeshedding. That term originates from C. Northcote Parkinson's observation 1957 of a finance committee organized to approve plans for a nuclear power plant.
As Parkinson – a Naval historican - noted, the committee devoted a disproportionate amount of time to relatively unimportant details -- such as the materials for a bicycle storage shed -- which limited the time available to focus on the design of the nuclear plant.
Way back in 1957 Parkinson used the example of a finance committee spending hardly any time approving the construction of a nuclear power station, then going on to spend hours debating the construction of a bike shed. Some of the reasons that he attributed to this behavior, were to do with the nuclear power plant being very complicated and the average committee member being unable to understand the issues. As a result the item receives very little discussion, and the committee ‘trusts’ the experts. There are very few questions as nobody wants to appear stupid by asking something that is blindingly obvious or makes them look ignorant. Building a bike shed on the other hand is something we can all understand, and committee members are more than happy to contribute anecdote, opinion and sometimes ideas, usually at great length.
http://whatis.techtarget.com/definition/Parkinsons-law-of-triviality-bikeshedding
http://www.greatleadershipbydan.com/2012/12/parkinsons-law-of-triviality.html
Wenn Unternehmen größer und komplexer werden, gibt es eine Tendenz zu „Proxies“ – wenn auf einmal weniger wichtige Dinge verwaltet werden und das Wichtige in den Hintergrund gerät. Bezos nennt Prozesse als Beispiel für solche „Proxies“.
Erfahrene Manager müssten Prozesse untersuchen und hinterfragen, wenn etwas nicht läuft, statt diese als Ausrede nehmen nach dem Motto: Wir haben uns ja an die Prozesse gehalten.
C. Northcote Parkinson, Parkinson's Law and Other Studies in Administration (Boston, Houghton Mifflin, 1957).
The act of wasting time on trivial details while important matters are inadequately attended is sometimes known as bikeshedding. That term originates from C. Northcote Parkinson's observation 1957 of a finance committee organized to approve plans for a nuclear power plant.
As Parkinson – a Naval historican - noted, the committee devoted a disproportionate amount of time to relatively unimportant details -- such as the materials for a bicycle storage shed -- which limited the time available to focus on the design of the nuclear plant.
Way back in 1957 Parkinson used the example of a finance committee spending hardly any time approving the construction of a nuclear power station, then going on to spend hours debating the construction of a bike shed. Some of the reasons that he attributed to this behavior, were to do with the nuclear power plant being very complicated and the average committee member being unable to understand the issues. As a result the item receives very little discussion, and the committee ‘trusts’ the experts. There are very few questions as nobody wants to appear stupid by asking something that is blindingly obvious or makes them look ignorant. Building a bike shed on the other hand is something we can all understand, and committee members are more than happy to contribute anecdote, opinion and sometimes ideas, usually at great length.
http://whatis.techtarget.com/definition/Parkinsons-law-of-triviality-bikeshedding
http://www.greatleadershipbydan.com/2012/12/parkinsons-law-of-triviality.html
As described in RFC 1122, Postel's law (also called the Robustness Principle) advises that TCP/IP implementations …
https://michaelfeathers.silvrback.com/the-universality-of-postel-s-law
Conway, M.E., 1968. How do committees invent. Datamation 14 (5), 28–31.
Mel Conway’s observation that designed systems tend to mirror the organization that produces them seemed to come from the same worldview.
In capsule form, Conway’s Law implies that if you have, say, three teams, chances are you will end up with three subsystems whether you intend to or not.
(Wikipedia) The tragedy of the commons is an economic theory of a situation within a shared-resource system where individual users acting independently according to their own self-interest behave contrary to the common good of all users by depleting or spoiling that resource through their collective action. The concept and name originate in an essay written in 1833 by the Victorian economist William Forster Lloyd, who used a hypothetical example of the effects of unregulated grazing on common land (then colloquially called "the commons") in the British Isles.
The tragedy of the commons is often cited in connection with sustainable development, meshing economic growth and environmental protection, as well as in the debate over global warming. It has also been used in analyzing behavior in the fields of economics, evolutionary psychology, anthropology, game theory, politics, taxation and sociology.
According to the political economist Elinor Ostrom, although it is often claimed that only private ownership or government regulation can prevent the "tragedy of the commons", prudent users of a commons have a natural incentive to voluntarily cooperate in self-regulation, and history exhibits many examples of complex social schemes to sustain common resources efficiently.
(Wikipedia) The tragedy of the commons is an economic theory of a situation within a shared-resource system where individual users acting independently according to their own self-interest behave contrary to the common good of all users by depleting or spoiling that resource through their collective action. The concept and name originate in an essay written in 1833 by the Victorian economist William Forster Lloyd, who used a hypothetical example of the effects of unregulated grazing on common land (then colloquially called "the commons") in the British Isles.
The tragedy of the commons is often cited in connection with sustainable development, meshing economic growth and environmental protection, as well as in the debate over global warming. It has also been used in analyzing behavior in the fields of economics, evolutionary psychology, anthropology, game theory, politics, taxation and sociology.
According to the political economist Elinor Ostrom, although it is often claimed that only private ownership or government regulation can prevent the "tragedy of the commons", prudent users of a commons have a natural incentive to voluntarily cooperate in self-regulation, and history exhibits many examples of complex social schemes to sustain common resources efficiently.