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:
- Events: Observable occurrences (e.g., snail infestation).
- Patterns of Behavior: Trends over time (e.g., repeated problems with new solutions).
- Systems: Structures causing patterns (e.g., biodiversity in farming).
- 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:
- What are the likely outcomes?
- Which outcomes do you think will occur?
- 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:
- Define your goal (e.g., clarify thinking to make better decisions).
- Articulate assumptions (e.g., mental models help clarify thinking).
- 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.