RigWatch

Clear Thinking Tools

Mental models and frameworks for seeing through the rigging

Understanding power requires clear thinking. These resources provide mental models, frameworks, and techniques for spotting manipulation, following incentives, and seeing systems clearly.

Essential Mental Models

Farnam Street (Shane Parrish) →

The gold standard for learning mental models. Start with their mental models guide covering inversion, first principles thinking, circle of competence, and second-order thinking.

Key concepts: Inversion (what could cause failure?), Map vs. Territory (models aren't reality), Margin of Safety

Thinking, Fast and Slow (Daniel Kahneman)

Nobel laureate's comprehensive guide to cognitive biases and how our minds make decisions. Essential for understanding how politicians manipulate voters and why perverse incentives work.

Key concepts: System 1 vs System 2 thinking, Anchoring, Availability Bias, Loss Aversion

WikipediaBuy on Amazon

Gapminder (Hans Rosling) →

Tools for understanding the world through data. Interactive visualizations that reveal how our intuitions about global trends are often wrong. Rosling's book Factfulness teaches pattern recognition in data.

Key concepts: The Gap Instinct, Negativity Instinct, Straight Line Instinct

Note-Taking & Learning Systems

Zettelkasten Method

A note-taking system for connecting ideas across domains. Essential for seeing patterns in how power operates across different contexts—political, economic, social.

Core principle: Ideas gain power through connection, not isolation

WikipediaGetting Started GuideBeginner's Guide

Mind Mapping

Visual thinking tool for exploring relationships between concepts. Particularly useful for tracking money flows, identifying conflicts of interest, and mapping influence networks.

Tool: Start with politician's name in center, branch to donors, committees, votes, stock trades

Tony Buzan (Wikipedia)Official SiteTEDx Talk

Systems Thinking

Gödel, Escher, Bach (Douglas Hofstadter)

A deep dive into how complex systems emerge from simple rules. Understanding strange loops and self-reference helps explain how political systems become self-perpetuating even when they're rigged.

Key insight: Systems can be self-referential in ways that make them resistant to change from within

WikipediaBuy on Amazon

Leverage Points (Donella Meadows)

Not all interventions in a system are equal. Some changes create cascading effects. Understanding where to push is more important than how hard to push.

Applied to politics: Changing campaign finance rules is higher leverage than individual candidate choices

WikipediaOriginal EssayPDF

Key Mental Models for Political Analysis

Incentive-Caused Bias

Never ask a barber if you need a haircut. When someone's paycheck depends on a certain outcome, expect their thinking to align with that outcome. Look for who benefits financially from any political decision.

Reciprocation Tendency

Humans feel obligated to return favors. When a politician receives campaign donations or benefits from an industry, reciprocation tendency creates unconscious bias toward that industry—even without explicit quid pro quo.

Inversion

Instead of asking "How can we fix the system?", ask "What would make the system even worse?" This reveals the core problems. To reduce political conflicts of interest, invert: What maximizes conflicts of interest? Unlimited donations, stock trading, revolving door to lobbying.

Follow the Money

Simple but powerful. When political outcomes seem inexplicable, trace the money. Campaign donations, stock portfolios, post-office employment—money flows explain voting patterns better than speeches.

More Tools Coming

We're developing guides and essays on applying these mental models to political analysis. Get notified when new resources are available.