Causal Loop Diagram is map reinforcing (R) and balancing (B) feedback loops between variables to see system behavior. It sits in the Systems dimension (SYS) of the Human Behavior Taxonomy™ as element HBT-SYS-0004, within the Systems family. The core principle: map reinforcing (R) and balancing (B) feedback loops between variables to see system behavior. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
Scientific Definition
Map reinforcing (R) and balancing (B) feedback loops between variables to see system behavior.
Plain-English Definition
Map reinforcing (R) and balancing (B) feedback loops between variables to see system behavior.
Feynman Explanation
Most 'root cause' analysis stops one arrow too early.
Core Principle
Map reinforcing (R) and balancing (B) feedback loops between variables to see system behavior.
Mechanisms
Pending editorial review.
Map reinforcing (R) and balancing (B) feedback loops between variables to see system behavior.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Why every push for short-term metrics eventually produces a balancing loop that erodes the metric.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Most 'root cause' analysis stops one arrow too early.
Examples
- Standard tool in system dynamics, from Forrester to Sterman.
- Why every push for short-term metrics eventually produces a balancing loop that erodes the metric.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
When this element shows up in a diagnostic, the instinct is to train people out of it. Training rarely moves it. The mechanism underneath it is straightforward: map reinforcing (R) and balancing (B) feedback loops between variables to see system behavior. You can recognize it in the field by its signature: most 'root cause' analysis stops one arrow too early. Every element in the Systems dimension changes the perceived payoff of an action before the action happens, which is exactly where incentive design has leverage.
How it gets exploited
Left undesigned, why every push for short-term metrics eventually produces a balancing loop that erodes the metric. It is amplified whenever why every push for short-term metrics eventually produces a balancing loop that erodes the metric. Inside organizations that shows up as why every push for short-term metrics eventually produces a balancing loop that erodes the metric. The pattern is the same one Goodhart's Law describes: the measurable proxy attracts the effort, and the purpose behind it quietly loses funding.
How the Lab designs around it
The redesign move is to draw the loops before drawing the action plan. Look for delays — they're where surprises live. Treat it as infrastructure. Once you can see it in your own system, most of the argument about culture resolves itself.
Famous Experiments
Pending editorial review.
Design Principles
- Draw the loops before drawing the action plan. Look for delays — they're where surprises live.
Measurement Approaches
Pending editorial review.
Evidence
Pending editorial review.
Pending editorial review.
The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Draw the loops before drawing the action plan. Look for delays — they're where surprises live.
Pending editorial review.
Pending editorial review.
Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
A system with many interacting parts that learn and adapt.
Many interacting parts producing emergent behavior nobody designed.
Interdependent network of actors evolving together.
The whole has properties that the individual parts do not.
Systems maintain stability by self-regulating around a setpoint.
Outputs of a system are routed back as inputs, amplifying or dampening change.
Stocks are accumulations; flows are rates of change that affect them.
Behavior emerges from structure, not from individuals.
Old systems decline as new ones emerge in parallel; leaders steward both, not just kill the old or chase the new.
Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously.
Observe, Orient, Decide, Act — faster than your competitor.
Single-loop fixes errors; double-loop questions the assumptions producing them.
Where Causal Loop Diagram is cited in the corpus
Essays, field guides, and diagnostics from The Incentives Lab that apply this element.
- EssayPolicy Is Incentive Design
System-level payoff structures.
- Field guidePublic sector incentives
Budget rules, election cycles, blame avoidance.
- EssayAI Agents Inherit Your Incentives
How this element propagates into automated systems.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about Causal Loop Diagram
- What is Causal Loop Diagram?
- Causal Loop Diagram is map reinforcing (R) and balancing (B) feedback loops between variables to see system behavior. It sits in the Systems dimension (SYS) of the Human Behavior Taxonomy™ as element HBT-SYS-0004, within the Systems family. The core principle: map reinforcing (R) and balancing (B) feedback loops between variables to see system behavior. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
- What is an example of Causal Loop Diagram?
- Why every push for short-term metrics eventually produces a balancing loop that erodes the metric. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-SYS-0004).
- How is Causal Loop Diagram exploited?
- Why every push for short-term metrics eventually produces a balancing loop that erodes the metric.
- How do you design around Causal Loop Diagram?
- Draw the loops before drawing the action plan. Look for delays — they're where surprises live.
- Which behavioral dimension does Causal Loop Diagram belong to?
- Causal Loop Diagram is classified in the Systems dimension (SYS) of the Human Behavior Taxonomy™, family "Systems", class "Mental Model". Its permanent identifier is HBT-SYS-0004 and its evidence grade is B.