Systems Thinking and Mental Models

Jul 1, 2024

Systems Thinking and Mental Models

Introduction to Systems Thinking

  • Two perspectives on the world: in parts or as a whole.
  • Traditional education emphasizes breaking complex things into parts (subjects like English, Math, etc.).
  • Systems thinking focuses on the connections and relationships between parts.
  • Quote from Aristotle: "The whole is more than the sum of its parts."
  • Aim: Understand the problem as a whole and find the root cause, not just treat symptoms.

Mental Model 1: Linear vs. Non-Linear Organization

  • Linear thinking: Reduces things down to cause and effect (A -> B -> C).
  • Non-linear thinking: Recognizes cyclic relationships (A -> B -> C -> A).
  • Example from “The Biggest Little Farm” documentary:
    • Single crop (berries) led to nutrient depletion.
    • Introducing biodiversity led to interconnected problems (pests, manure, drought effects).
    • Solutions emerged by seeing the interconnections (e.g., chickens eating maggots, ducks eating snails).

Mental Model 2: Stock and Flow

  • Stock: Elements that can be added or subtracted (e.g., animals, plants, soil, water).
  • Flow: Actions that change the number of stock (e.g., selling products).
  • Simplifies understanding of systems: Stock are the things; Flow connects them.

Mental Model 3: The Iceberg Model

  • Four levels of realities:
    1. Events: Observable occurrences (e.g., snail infestation).
    2. Patterns of Behavior: Trends over time (e.g., repeated problems with new solutions).
    3. Systems: Structures causing patterns (e.g., biodiversity in farming).
    4. Mental Models: Assumptions and beliefs shaping the system (e.g., sustainable farming through biodiversity).
  • Aim: Go beyond events to understand underlying structures and mental models.

Mental Model 4: Finding the Bottleneck

  • A system is only as strong as its weakest part.
  • Identifying bottlenecks involves looking for places where there are delays or blockages.
  • Example from the farm: Pests destroying 70% of crops were identified as the main bottleneck.
  • Use of the 80/20 rule to prioritize and address bottlenecks.

Mental Model 5: Second Order Thinking

  • First order thinking: Linear (If A, then B).
  • Second order thinking: Considers the broader implications (If A, then B, which leads to C, and so on).
  • Example from the farm:
    • Planting cover crops has first order effects (nutrient restoration) and second order effects (attracts pests).
  • Questions to guide second order thinking:
    1. What are the likely outcomes?
    2. Which outcomes do you think will occur?
    3. What is the probability that you are right?

Mental Model 6: Building a Feedback Loop

  • Design systems to gather data and understand if you are moving closer to your goals.
  • Steps to set up a feedback loop:
    1. Define your goal (e.g., clarify thinking to make better decisions).
    2. Articulate assumptions (e.g., mental models help clarify thinking).
    3. Choose measurements (e.g., number of mental models learned, decision journal).
  • Example process:
    • Learn mental models, track decision-making, assess decisions after a period, refine approach based on feedback.

Conclusion

  • Summary of using systems thinking and mental models to address complex problems.
  • Encouragement to subscribe for more content on clear thinking and decision-making.

Note: Check referenced videos and links for detailed explanations and additional context.