Appendix: Quick Reference

tis systems-thinking reference

Status: Notes complete


Glossary

TermDefinition
ArchetypesCommon system structures that produce characteristic patterns of behavior
Balancing feedback loopA stabilizing, goal-seeking loop that opposes whatever direction of change is imposed on the system (“negative feedback loop”)
Bounded rationalityThe logic that leads to decisions making sense within one part of a system but not reasonable within the broader system
Dynamic equilibriumState where a stock’s level is steady despite inflows and outflows; possible only when all inflows equal all outflows
DynamicsThe behavior over time of a system or any of its components
Feedback loopA mechanism allowing a change in a stock to affect a flow into or out of that same stock; a closed chain of causal connections
FlowMaterial or information that enters or leaves a stock over a period of time
HierarchySystems organized within systems; subsystems within systems
Limiting factorA necessary system input that is the one limiting the activity of the system at a particular moment
Linear relationshipConstant proportion between cause and effect; drawable with a straight line
Nonlinear relationshipCause does not produce proportional effect; drawn with curves
Reinforcing feedback loopAn amplifying, self-enhancing loop (“positive feedback loop”) that reinforces the direction of change; vicious cycles and virtuous circles
ResilienceThe ability of a system to recover from perturbation; to restore, repair, or bounce back
Self-organizationThe ability of a system to structure itself, create new structure, learn, or diversify
Shifting dominanceThe change over time of the relative strengths of competing feedback loops
StockAn accumulation of material or information that has built up in a system over time
SuboptimizationBehavior resulting from a subsystem’s goals dominating at the expense of the total system’s goals
SystemA set of elements coherently organized and interconnected in a pattern or structure that produces a characteristic set of behaviors

Systems Principles Summary

Systems

  • A system is more than the sum of its parts
  • Many interconnections in systems operate through the flow of information
  • The least obvious part of the system — its function or purpose — is often the most crucial determinant of its behavior
  • System structure is the source of system behavior; behavior reveals itself as a series of events over time

Stocks, Flows, and Dynamic Equilibrium

  • A stock is the memory of the history of changing flows within the system
  • If inflows > outflows → stock rises; if outflows > inflows → stock falls; if inflows = outflows → stock in dynamic equilibrium
  • A stock can be increased by decreasing outflow rate as well as by increasing inflow rate
  • Stocks act as delays, buffers, or shock absorbers in systems
  • Stocks allow inflows and outflows to be decoupled and independent

Feedback Loops

  • A feedback loop is a closed chain of causal connections from a stock, through decisions/rules/actions dependent on the stock’s level, back through a flow to change the stock
  • Balancing loops are equilibrating or goal-seeking; both sources of stability and resistance to change
  • Reinforcing loops are self-enhancing; lead to exponential growth or runaway collapse
  • Feedback loop information can affect only future behavior; it can’t correct the behavior that drove the current feedback
  • Systems with similar feedback structures produce similar dynamic behaviors

Shifting Dominance, Delays, and Oscillations

  • Complex behaviors often arise as relative strengths of feedback loops shift
  • A delay in a balancing feedback loop makes a system likely to oscillate
  • Changing the length of a delay may make a large change in system behavior

Constraints on Systems

  • In physically growing systems, there must be at least one reinforcing growth loop and at least one balancing constraining loop — no system can grow forever
  • Nonrenewable resources are stock-limited
  • Renewable resources are flow-limited

Resilience, Self-Organization, and Hierarchy

  • There are always limits to resilience
  • Systems need to be managed not only for productivity/stability but also for resilience
  • Hierarchical systems evolve from the bottom up; upper layers serve lower layers

Sources of System Surprises

  • Many relationships in systems are nonlinear
  • There are no separate systems; the world is a continuum; boundary placement depends on purpose
  • At any given time, the most important input is the most limiting one
  • A quantity growing exponentially toward a limit reaches that limit in a surprisingly short time
  • When there are long delays in feedback loops, foresight is essential
  • The bounded rationality of each actor may not lead to decisions that further the welfare of the system as a whole

System Traps: Quick Reference

TrapCoreWay Out
Policy ResistanceActors pulling stock toward conflicting goals; mutual resistanceLet go; harmonize goals
Tragedy of the CommonsMissing feedback from resource condition to usersEducate; privatize; regulate
Drift to Low PerformanceGoal influenced by bad past performance (R loop down)Keep standards absolute; set from best performance
EscalationEach actor tries to surpass the other (R loop)Unilateral disarmament; negotiate balancing constraints
Success to the SuccessfulWinners gain means to win more (R loop)Diversify; limit gains; level playing field
AddictionIntervention weakens system’s self-corrective capacityStrengthen self-capacity before withdrawing
Rule BeatingRules produce evasive compliance, not intended outcomesRedesign rules to align with purpose
Seeking Wrong GoalFeedback loops aimed at inaccurate indicatorSpecify indicators reflecting real welfare

12 Leverage Points (Least to Most Effective)

#Leverage PointNotes
12Numbers: Constants, parameters, subsidies, taxes, standardsRarely changes behavior; 99% of attention goes here
11Buffers: Sizes of stabilizing stocks relative to flowsPhysical; hard/costly to change
10Stock-and-flow structures: Physical systemsSlow and expensive; leverage in good design
9Delays: Lengths of time relative to rates of changeOften unchangeable; usually easier to slow change rate
8Balancing feedback loops: Strength relative to impacts correctedStrengthen feedback commensurate with impacts
7Reinforcing feedback loops: Strength of gainSlowing growth more powerful than strengthening balancing loops
6Information flows: Who has access to whatCreate new loops; restore missing feedback to right place
5Rules: Incentives, punishments, constraintsPower over rules = real power
4Self-organization: Power to add, change, or evolve structurePreserve conditions for diversity and experimentation
3Goals: Purpose or function of the systemSingle actor at top can redefine; shapes everything below
2Paradigms: Mind-set out of which the system arisesHard to change but can shift instantly; source of all system goals
1Transcending ParadigmsHold all paradigms lightly; radical empowerment

14 Guidelines for Living in a World of Systems

  1. Get the beat of the system
  2. Expose your mental models to the light of day
  3. Honor, respect, and distribute information
  4. Use language with care and enrich it with systems concepts
  5. Pay attention to what is important, not just what is quantifiable
  6. Make feedback policies for feedback systems
  7. Go for the good of the whole
  8. Listen to the wisdom of the system
  9. Locate responsibility within the system
  10. Stay humble — stay a learner
  11. Celebrate complexity
  12. Expand time horizons
  13. Defy the disciplines
  14. Expand the boundary of caring
  15. Don’t erode the goal of goodness

Last Updated: 2026-05-30