⚖️ Decision Making
Make clearer, more confident decisions under uncertainty, time pressure, and high stakes. This category covers 37 classic mental models, each with a full definition, real-world cases, use-case guidance, common misuses, and a direct link to apply it in MindMax.
Model List
| # | Model | Core Idea | Typical Use Cases |
|---|---|---|---|
| 1 | First Principles Thinking | Break a problem down to its foundational truths, then reason up from scratch | Innovation, pricing strategy, entering new markets |
| 2 | Inversion | Ask what would guarantee failure, then systematically eliminate those paths | Risk planning, project kick-offs, personal decisions |
| 3 | Second Order Thinking | Ask "and then what?" to uncover the chain of consequences beyond the obvious | Policy design, long-term investing, system reform |
| 4 | Occam's Razor | When two explanations fit the facts, prefer the simpler one | Diagnosis, hypothesis filtering, debugging |
| 5 | Bayesian Thinking | Update your beliefs in proportion to new evidence, not just first impressions | Forecasting, medical diagnosis, business prediction |
| 6 | Circle of Competence | Only make decisions within domains you genuinely understand — know your edge | Investing, hiring, outsourcing decisions |
| 7 | Opportunity Cost | Every choice costs you its best alternative; make that trade-off explicit | Time allocation, resource planning, strategic trade-offs |
| 8 | Pre-mortem | Imagine the project has already failed, then work backwards to find every cause | Project planning, risk identification, team alignment |
| 9 | Regret Minimization Framework | Project yourself to age 80 and choose whichever path you'd least regret | Career pivots, founding a startup, bold life choices |
| 10 | Expected Value | Weight each outcome by its probability, then sum — go where EV is highest | Business bets, product decisions, portfolio allocation |
| 11 | Weighted Decision Matrix | Score options across multiple criteria with assigned weights to surface the best choice | Vendor selection, job offers, strategy evaluation |
| 12 | 10/10/10 Rule | Ask how you'll feel about this decision in 10 minutes, 10 months, and 10 years | Emotional decisions, impulse control, big life choices |
| 13 | Pareto Principle (80/20 Rule) | 80% of outputs come from 20% of inputs — find and focus on that 20% | Prioritization, productivity, resource allocation |
| 14 | Margin of Safety | Build a buffer between your assumptions and reality to absorb being wrong | Investing, engineering, project scheduling |
| 15 | Two-Way Door Decision | Separate reversible decisions (act fast) from irreversible ones (think slowly) | Product decisions, process changes, strategic bets |
| 16 | Chesterton's Fence | Never remove something until you understand why it was put there in the first place | Organizational change, code refactoring, policy reform |
| 17 | The Map Is Not the Territory | Our mental models of reality are useful simplifications, not reality itself | Planning, strategy, avoiding overconfidence in models |
| 18 | Reference Class Forecasting | Predict by looking at the actual base rate of similar past projects, not just this one | Project estimation, startup planning, policy forecasting |
| 19 | Inside View vs. Outside View | Balance your detailed case knowledge with base-rate statistics from comparable situations | Estimation, forecasting, avoiding planning fallacy |
| 20 | Satisficing | Choose the first option that meets a "good enough" threshold rather than optimizing forever | Daily decisions, hiring standards, product scoping |
| 21 | Asymmetric Risk/Reward | Seek bets where the upside is many times larger than the downside | Investing, career moves, startup strategy |
| 22 | Eisenhower Matrix | Sort tasks by urgency and importance to ruthlessly eliminate the time-wasters | Productivity, delegation, leadership focus |
| 23 | OODA Loop | Observe–Orient–Decide–Act faster than your environment changes to maintain advantage | Competitive strategy, crisis response, rapid iteration |
| 24 | Kelly Criterion | Calculate the mathematically optimal fraction of your bankroll to bet on each opportunity | Investing, resource allocation, sizing bets |
| 25 | Black Swan Theory | Prepare for high-impact, low-probability events that most models ignore entirely | Risk management, resilience planning, scenario analysis |
| 26 | Via Negativa | Improve by removing what is harmful rather than adding what seems helpful | Product simplification, health decisions, life design |
| 27 | Lindy Effect | The longer something non-perishable has survived, the longer it is likely to survive | Technology adoption, idea evaluation, investing |
| 28 | Scenario Planning | Build multiple plausible futures and prepare strategies that work across all of them | Corporate strategy, policy design, startup roadmapping |
| 29 | Commander's Intent | Define the end-state so clearly that teams can adapt autonomously when plans break down | Leadership, OKRs, distributed teams |
| 30 | Precommitment | Bind your future self to a course of action now to overcome predictable weakness later | Habit formation, negotiation, saving and investing |
| 31 | Cost-Benefit Analysis | Systematically list and quantify all costs and benefits of each option before deciding | Public policy, project approval, product trade-offs |
| 32 | Elimination by Aspects | Eliminate options that fail your most important criterion, then repeat for each next one | Consumer choices, hiring, product comparison |
| 33 | Fungibility | Treat identical units of a resource as interchangeable to optimize total utility | Debt management, portfolio rebalancing, resource allocation |
| 34 | Working Memory | The brain's mental RAM — a small, temporary workspace that holds and manipulates information during complex tasks | Teaching and training, presentation design, product design, communication |
| 35 | Flow State | The experience of being "in the zone" — complete immersion in an activity with peak performance | Skill development, creative work, team performance, product design |
| 36 | Decision Fatigue | Every decision drains a limited pool of mental energy; after too many, you choose the easiest option, not the best | Schedule design, meeting planning, personal habits, team management |
| 37 | Network Effects | A product becomes more valuable as more people use it, creating self-reinforcing growth loops that can produce winner-take-all dynamics | Platform strategy, market entry, competitive moats, startup evaluation |
Choosing the Right Model
What kind of decision are you facing?
│
├── Current solutions feel constrained → First Principles Thinking
├── Want to eliminate failure paths first → Inversion
├── Worried about downstream consequences → Second Order Thinking
├── Information overload, need simplest explanation → Occam's Razor
├── Need to make probabilistic judgment → Bayesian Thinking / Expected Value
├── Unsure if you have enough domain knowledge → Circle of Competence
├── Comparing multiple concrete options → Decision Matrix / Elimination by Aspects
├── About to launch a major project → Pre-mortem
├── Big life or career choice → Regret Minimization / 10/10/10
├── Allocating limited time or resources → Opportunity Cost / Pareto Principle / Fungibility
├── Decision is easily reversible → Two-Way Door (act fast)
├── Decision is hard to reverse → Margin of Safety + Pre-mortem (think slowly)
├── Dealing with extreme uncertainty → Black Swan / Scenario Planning
├── Sizing a bet optimally → Kelly Criterion / Asymmetric Risk
└── Evaluating platform or marketplace strategy → Network Effects
Combine with Other Categories
Decision Making models work especially well alongside:
- ⚖️ Decision Making — once you understand the system, make the decision
- 🧩 Cognitive Biases — check your blind spots before you act
- 🎯 Use-Case Guides — not sure where to start? Choose by scenario instead
AI-assisted practice works better
Learning a model conceptually is only half the job. In MindMax, you can input a real problem and let AI guide you through the model step by step.