Absolutely, Phil — continuing with Batch 2 of the General Mental Models Pack, covering models 11–20. These are clean Markdown files, ready to drop into:
Mental Models (General)/
Let’s keep the momentum going.
📄 11 — OODA Loop
Definition
A rapid decision cycle: Observe → Orient → Decide → Act.
When to Use
• Fast‑changing environments • Real‑time decisions • Competitive or adversarial situations • Situations requiring rapid iteration
How It Improves Reasoning
It shortens reaction time and improves adaptability by continuously updating your mental model.
Steps
- Observe: Gather data.
- Orient: Interpret the data using context.
- Decide: Choose the best action.
- Act: Execute and feed results back into the loop.
Example
A company adjusting pricing in response to competitor moves.
Prompts
• “Run an OODA loop on this scenario.” • “Identify where this decision cycle is slow or stuck.”
📄 12 — Expected Value
Definition
The weighted average of all possible outcomes, based on their probabilities.
When to Use
• Investment decisions • Risk analysis • Choosing between uncertain options • Evaluating long‑term strategies
How It Improves Reasoning
It reveals the best choice on average, not just the best possible outcome.
Steps
- List possible outcomes.
- Assign probabilities.
- Multiply outcome × probability.
- Sum the results.
Example
Choosing between two job offers with different salaries and bonus probabilities.
Prompts
• “Calculate expected value for these options.” • “Compare choices using expected value.”
📄 13 — Comparative Advantage
Definition
Focus on tasks where you have the highest relative efficiency, not absolute efficiency.
When to Use
• Delegation • Automation • Team coordination • Resource allocation
How It Improves Reasoning
It maximizes total output by aligning strengths with tasks.
Steps
- Identify strengths.
- Compare relative efficiency.
- Allocate tasks accordingly.
Example
Even if you’re good at everything, delegating or automating low‑value tasks increases total productivity.
Prompts
• “Identify comparative advantages in this workflow.” • “Which tasks should be delegated or automated?”
📄 14 — Opportunity Cost
Definition
The value of the best alternative you give up when choosing something.
When to Use
• Prioritization • Time management • Investment decisions • Strategic planning
How It Improves Reasoning
It exposes hidden costs and prevents false “free choices.”
Steps
- List alternatives.
- Estimate value.
- Compare tradeoffs.
Example
Spending 2 hours on email means 2 hours not spent on deep work.
Prompts
• “Evaluate opportunity costs for these options.” • “What is the hidden cost of choosing this?”
📄 15 — Marginal Utility
Definition
The additional benefit gained from one more unit of something.
When to Use
• Scaling decisions • Budget allocation • Optimization • Resource planning
How It Improves Reasoning
It reveals diminishing returns and prevents over‑investment.
Steps
- Measure incremental benefit.
- Compare to incremental cost.
- Stop when marginal utility drops.
Example
The first cup of coffee helps a lot; the fourth adds little benefit.
Prompts
• “Analyze marginal utility of scaling this system.” • “Where do diminishing returns begin?”
📄 16 — Game Theory Basics
Definition
Reasoning about decisions where outcomes depend on others’ choices.
When to Use
• Negotiations • Market behavior • Multi‑party interactions • Strategic planning
How It Improves Reasoning
It predicts how others will behave based on incentives.
Steps
- Identify players.
- Map incentives.
- Predict strategies.
- Evaluate outcomes.
Example
Two companies deciding whether to lower prices.
Prompts
• “Model this scenario using game theory.” • “What incentives shape each player’s strategy?”
📄 17 — Prisoner’s Dilemma
Definition
A situation where cooperation yields the best outcome, but incentives push toward defection.
When to Use
• Trust analysis • Collaboration • Incentive design • Conflict resolution
How It Improves Reasoning
It reveals when systems unintentionally discourage cooperation.
Steps
- Identify mutual benefits.
- Identify incentives to defect.
- Adjust incentives or structure.
Example
Two teams hoarding information instead of sharing.
Prompts
• “Analyze this conflict as a Prisoner’s Dilemma.” • “How can incentives be redesigned to encourage cooperation?”
📄 18 — Nash Equilibrium
Definition
A stable state where no player benefits from changing strategy unilaterally.
When to Use
• Competitive environments • Multi‑party negotiations • Market analysis • Strategic planning
How It Improves Reasoning
It identifies stable outcomes and predicts when change is unlikely.
Steps
- Map strategies.
- Evaluate payoffs.
- Identify stable points.
Example
Two gas stations matching each other’s prices.
Prompts
• “Identify Nash equilibria in this scenario.” • “Which strategies are stable and why?”
📄 19 — Strategic Bottlenecks
Definition
A single constraint that limits strategic options or system performance.
When to Use
• Long‑term planning • Scaling • System design • Competitive strategy
How It Improves Reasoning
It focuses attention on the true limiting factor.
Steps
- Identify bottleneck.
- Quantify impact.
- Remove or bypass it.
Example
A single supplier controlling a critical component.
Prompts
• “Identify strategic bottlenecks in this plan.” • “What constraint limits future options?”
📄 20 — Leverage Points
Definition
Places in a system where small changes produce large effects.
When to Use
• Optimization • Policy design • Automation • System redesign
How It Improves Reasoning
It maximizes impact with minimal effort.
Steps
- Map system.
- Identify high‑impact nodes.
- Apply targeted changes.
Example
Improving insulation yields outsized energy savings.
Prompts
• “Identify leverage points in this system.” • “Where can small changes produce large improvements?”