Mental Models & Cognitive Biases: First-Principles Thinking

Lesson 1

The Trap of Reasoning by Analogy

Examine the limits of analogical reasoning and market imitation through historical business failures

Lesson 2

Deconstructing Industry Dogma

Strip away industry dogma and legacy assumptions to identify foundational physical and economic truths

Lesson 3

Isolating Fundamental Truths

Isolate atomic, non-reducible variables of a strategic problem using the 5 Whys and physical reductionism

Lesson 4

Rebuilding Solutions from Scratch

Reconstruct novel operational solutions from scratch starting exclusively from fundamental constraints

Lesson 5

Defining the Circle of Competence

Map the strict boundaries of genuine expertise versus perceived competence using personal boundary audits

Lesson 6

Exposing Confirmation Bias & Data Cherry-Picking

Audit personal and organizational vulnerability to confirmation bias when evaluating product feedback

Lesson 7

Overcoming the Sunk-Cost Fallacy

Calculate true lifetime costs and abandon sunk-cost projects using impartial opportunity-cost formulas

Lesson 8

Correcting Survivorship Bias in Strategy

Analyze invisible failures and survivorship distortion in historical case studies of market winners

Lesson 9

Countering the Planning Fallacy

Identify overconfidence and planning fallacies in capital allocation and project estimation timelines

Lesson 10

Mitigating AI & Automation Bias

Detect automation bias and algorithmic confirmation when synthesizing AI-driven recommendations

Lesson 11

Practicing Inversion for Risk Mitigation

Apply the inversion mental model to solve complex strategic challenges by designing paths to total failure

Lesson 12

Leveraging Compounding & Scale Dynamics

Calculate geometric growth, network effects, and exponential decay across business scaling scenarios

Lesson 13

Applying Physics & Leverage Principles

Identify high-leverage intervention points in organizational structures using physical mechanics analogs

Lesson 14

Synthesizing Biological Ecosystem Models

Model market entry and competitive positioning using evolutionary biology and ecosystem dynamics

Lesson 15

Evaluating Economic Moats & Elasticity

Evaluate competitive moats and pricing power through economic supply-and-demand elasticity models

Lesson 16

Tracing Second-Order Consequences

Map immediate, intermediate, and downstream consequences of strategic product decisions over rolling horizons

Lesson 17

Mapping System Feedback Loops

Diagram reinforcing and balancing feedback loops within complex enterprise workflows

Lesson 18

Anticipating Nonlinear Tipping Points

Identify nonlinear tipping points and phase transitions in user adoption and market sentiment

Lesson 19

Designing for Antifragility

Differentiate between fragile, robust, and antifragile operational architectures under extreme market volatility

Lesson 20

Simulating Systemic Shocks

Simulate multi-variable systemic shocks using scenario planning and stress-testing matrices

Lesson 21

Executing Structured Pre-Mortems

Execute structured pre-mortem exercises to expose latent project vulnerabilities before product launch

Lesson 22

Deploying Probabilistic Forecasting

Construct probabilistic forecasting models using base rates and Bayesian updating under uncertainty

Lesson 23

Establishing Organizational Decision Hygiene

Implement organizational decision hygiene protocols to eliminate cognitive noise and groupthink in meetings

Lesson 24

Building and Maintaining a Decision Journal

Maintain a rigorous decision journal to audit past judgments, track error rates, and refine heuristics

Lesson 25

Synthesizing a Master Decision Framework

Synthesize a comprehensive, first-principles decision framework for an active high-stakes organizational challenge