Analytical Models vs Intuition
Analytical models excel in stable, data-rich environments. Intuition wins in complex, ambiguous situations with time pressure. Use both strategically.
Welcome to the complete index of every article in our Frameworks Models collection on When Notes Fly. This page lists all 28 articles in the section, organized alphabetically for easy reference. Each piece is researched, written by hand, and grounded in academic sources, professional practice, or empirical data. Whether you are diving into Frameworks Models for the first time or returning to find a specific article, the index below gives you direct access to the full collection within Concepts.
If you are new to Frameworks Models, we recommend starting with the foundational explainers and definitions before moving on to specific case studies, applied frameworks, and deeper analytical pieces. Articles are written for thoughtful readers who want substance over summary, with clear explanations of how ideas connect, where they come from, and why they matter. Use this index as a navigational map: skim the titles, read the short summaries, and click through to the pieces that draw your interest. Each article also links to related material so you can follow a thread of ideas across our entire Concepts library.
Analytical models excel in stable, data-rich environments. Intuition wins in complex, ambiguous situations with time pressure. Use both strategically.
First principles thinking means breaking problems to fundamental truths, then building solutions from scratch. Reason from physics and logic, not analogy.
First principles thinking breaks problems down to fundamental truths, then reasons up from there. Instead of copying, ask 'what must be true?' first.
Framework overload happens when collecting mental models faster than applying them. Too many frameworks create decision paralysis, not better thinking.
Choose mental models by matching problem type: first principles for novelty, probabilistic thinking for uncertainty, systems thinking for complexity.
Scientific thinking isn't just for labs. Learn how falsifiability, null hypothesis thinking, base rates, and pre-mortems can sharpen your decisions every day.
Inversion thinking: solve problems by asking what causes failure instead of how to succeed. The mental model used by Charlie Munger, Jacobi, and top decision-makers.
Experts use frameworks like 5 Whys to find root causes, hypothesis-driven thinking to test assumptions, and issue trees to break problems into parts.
Strategic frameworks: SWOT analysis assesses internal and external factors, Porter's Five Forces analyzes competition, Blue Ocean creates new markets.
Feedback loops connect outputs to inputs. Stocks accumulate; flows change them. Leverage points enable big impact from small changes. Delays create lag.
Mental models are thinking frameworks shaping perception and decisions. They create shortcuts but can blind you to alternatives. Update through feedback.
Herbert Simon's bounded rationality explains why humans satisfice rather than optimize. Learn about cognitive limits, heuristics as rational shortcuts, ecological rationality, and design implications.
Deductive reasoning moves from general principles to specific conclusions. Inductive reasoning moves from specific observations to general principles. Learn the difference, how each is used, and where both fail.
Design thinking explained: the Stanford d.school 5-stage process, IDEO's approach, real-world examples, how it compares to Agile, and when it fails.
Fermi estimation is the skill of making reasonable approximations from first principles, even with little data. Learn how it works, famous examples, and how to practice it.
Game theory explains strategic decision-making when outcomes depend on others' choices. Learn Nash equilibrium, prisoner's dilemma, and real-world applications.
Gamification applies game mechanics to non-game contexts to drive behavior. Learn when it works, when it fails, and how to design it ethically and effectively.
Lateral thinking, coined by Edward de Bono, is a deliberate technique for solving problems from unexpected angles. Learn the key methods: Six Thinking Hats, random entry, and PO.
Radical transparency at Bridgewater means recording all meetings and rating everyone publicly. Learn what works, what fails, and what other organizations can borrow.
Strategic thinking is the ability to analyze complex situations, anticipate the future, and make decisions that create long-term advantage. Learn how to develop it.
A framework is a structured set of principles that organizes thinking and guides decisions. Learn what frameworks are, famous examples, and how to choose and apply them.
Frameworks structure thinking and action, but they can also constrain it. Learn what frameworks are, how to evaluate them, and when to use them vs when to think from first principles.
Mental models are thinking frameworks that help you reason clearly and make better decisions. Learn the most useful models and how to build your own toolkit.
Ikigai is a Japanese concept for life purpose. Learn the real meaning vs the Western Venn diagram version, what longevity research shows, and how to find yours.
The Monte Carlo method uses random sampling to solve problems too complex for direct calculation. Learn its origins, how it works, and its applications in business and science.
The Pareto Principle states that roughly 80% of outcomes come from 20% of causes, a pattern that appears across business, productivity, and nature.
Frameworks fail when context changes, oversimplification hides critical nuance, rigidity prevents adaptation, or wrong model is applied to problem.
Frameworks simplify complexity by reducing cognitive load, enabling pattern recognition across domains, and creating shared language for solving problems.