What distinguishes a system from a collection?	Organized relationships generate characteristic behavior or function. Elements alone are insufficient. Source: Thinking in Systems: A Primer (2008), Introduction; Chapter 1, The Basics; Chapter 7, Living in a World of Systems
Why is a bad outcome not proof of a malicious purpose?	Several local goals and interactions can yield an outcome no actor intended. Separate observed patterns from claims about intention. Source: Thinking in Systems: A Primer (2008), Introduction; Chapter 1, The Basics; Chapter 7, Living in a World of Systems
Why can changing a leader sometimes change a system substantially?	The new leader may change rules, relationships or goals. Changing an element is not always isolated from structural change. Source: Thinking in Systems: A Primer (2008), Introduction; Chapter 1, The Basics; Chapter 7, Living in a World of Systems
Can a stock rise while its inflow falls?	Yes, while inflow remains greater than outflow. A slower increase in a stock is still an increase. Source: Thinking in Systems: A Primer (2008), Chapter 1, Bathtubs 101: Understanding System Behavior over Time
What does equal inflow and outflow establish?	A constant stock level over the relevant interval, not necessarily a desirable level. Source: Thinking in Systems: A Primer (2008), Chapter 1, Bathtubs 101: Understanding System Behavior over Time
How do stock and flow units differ?	A stock is a quantity; a flow is a quantity per unit time. Integrate flows over an interval to calculate stock change. Source: Thinking in Systems: A Primer (2008), Chapter 1, Bathtubs 101: Understanding System Behavior over Time
What must a feedback explanation close?	The causal route from a stock through decisions or processes to a flow that changes that stock. Source: Thinking in Systems: A Primer (2008), Chapter 1, How the System Runs Itself: Feedback; Chapter 2, A Brief Visit to the Systems Zoo
Does reinforcing feedback mean a good outcome?	No. It amplifies a direction of change and can sustain either a virtuous or destructive process. Source: Thinking in Systems: A Primer (2008), Chapter 1, How the System Runs Itself: Feedback; Chapter 2, A Brief Visit to the Systems Zoo
Why does the presence of a growth loop not prove unlimited growth?	Other loops, constraints and changing conditions can limit or reverse its dominance. Source: Thinking in Systems: A Primer (2008), Chapter 1, How the System Runs Itself: Feedback; Chapter 2, A Brief Visit to the Systems Zoo
Name three distinct delays.	Delay in observation, delay in implementing a response, and time for a flow to accumulate into a stock. Source: Thinking in Systems: A Primer (2008), Chapter 2, A Brief Visit to the Systems Zoo; Chapter 4, Delays; Chapter 6, Delays
Why can faster correction worsen oscillation?	Repeated or strong responses to delayed signals can overcorrect before earlier actions take effect. Source: Thinking in Systems: A Primer (2008), Chapter 2, A Brief Visit to the Systems Zoo; Chapter 4, Delays; Chapter 6, Delays
How do renewable and nonrenewable resource limits differ?	A nonrenewable resource is limited by available stock over the relevant horizon; a renewable resource by regeneration and the conditions supporting it. Source: Thinking in Systems: A Primer (2008), Chapter 2, A Brief Visit to the Systems Zoo; Chapter 4, Delays; Chapter 6, Delays
How can output be stable while resilience declines?	The system may be losing backup responses or restorative capacity before a disturbance exposes the loss. Source: Thinking in Systems: A Primer (2008), Chapter 3, Why Systems Work So Well
What distinguishes self-organization from following a procedure?	It can create or change structure, relationships or rules rather than only operate within the existing arrangement. Source: Thinking in Systems: A Primer (2008), Chapter 3, Why Systems Work So Well
What are two opposite failures of hierarchy?	Suboptimization of a part at the whole’s expense, and excessive central control that prevents parts from functioning. Source: Thinking in Systems: A Primer (2008), Chapter 3, Why Systems Work So Well
Why should a model state its boundary?	The boundary determines which effects and costs are counted. Important omitted feedback can change the conclusion. Source: Thinking in Systems: A Primer (2008), Chapter 4, Why Systems Surprise Us; Chapter 7, Expose Your Mental Models to the Light of Day
What is bounded rationality in this account?	Locally understandable decisions can be poor for the wider system because actors face limited information, goals, authority or horizons. Source: Thinking in Systems: A Primer (2008), Chapter 4, Why Systems Surprise Us; Chapter 7, Expose Your Mental Models to the Light of Day
Why might a former bottleneck stop being the main constraint?	Relieving it or changing conditions can make a different necessary input or process limiting. Source: Thinking in Systems: A Primer (2008), Chapter 4, Why Systems Surprise Us; Chapter 7, Expose Your Mental Models to the Light of Day
What feedback distinguishes success to the successful?	Winning provides resources that increase the ability to win future rounds. Source: Thinking in Systems: A Primer (2008), Chapter 5, System Traps … and Opportunities, all eight named subsections
When does outside help become the shifting-burden trap?	When relief leaves the underlying problem and contributes to erosion of the system’s ability to cope independently. Source: Thinking in Systems: A Primer (2008), Chapter 5, System Traps … and Opportunities, all eight named subsections
How does seeking the wrong goal differ from rule beating?	The first may faithfully satisfy a badly chosen objective; the second evades intended purpose while appearing compliant. Source: Thinking in Systems: A Primer (2008), Chapter 5, System Traps … and Opportunities, all eight named subsections
Why is the leverage ranking not a decision algorithm?	Its order is tentative, context matters, and an intervention’s effect depends on the mechanism, feasibility and consequences. Source: Thinking in Systems: A Primer (2008), Chapter 6, Leverage Points: Places to Intervene in a System
How does an information intervention differ from a parameter adjustment?	It changes who receives consequential information, rather than only altering a number within the existing arrangement. Source: Thinking in Systems: A Primer (2008), Chapter 6, Leverage Points: Places to Intervene in a System
What makes a capstone a test of understanding?	It predicts, distinguishes competing explanations, checks evidence, and revises a model when necessary rather than merely naming concepts. Source: Thinking in Systems: A Primer (2008), Chapter 7, Living in a World of Systems; Chapter 4, Beguiling Events and Bounded Rationality