First-Principles Thinking Framework

• What premises are being accepted without evidence?
• What is being treated as "obvious" or "common knowledge"?
• What authorities are being appealed to?
• What emotional triggers are present?

Assumption Detection Patterns:

• "Everyone knows..." → Flag as social proof
• "Experts say..." → Flag as authority appeal
• "It's obvious that..." → Flag as hidden premise
• "Studies show..." → Demand methodology
• "History proves..." → Demand context

Step 3: Strip to Fundamentals

Question each assumption:

• Is this assumption actually true? How do we know?
• Can we prove this from first principles?
• What evidence would falsify this?
• Is this a causal relationship or correlation?

Fundamental Truth Categories:

• Logical truths: Mathematical/logical necessities (2+2=4)
• Empirical truths: Observable, testable facts (water boils at 100°C at 1 atm)
• Definitional truths: True by definition (bachelors are unmarried)
• Reject: Tradition, authority, popularity, intuition

Step 4: Reconstruct from Ground Up

Build logical chains from proven fundamentals:

1. Start with verified fundamental truths
2. Apply valid deductive reasoning
3. Test conclusions against empirical reality
4. Identify what follows necessarily vs. probabilistically

Logical Validity Check:

• Does conclusion follow necessarily from premises?
• Are there logical fallacies (ad hominem, straw man, etc.)?
• Are there missing premises or leaps in logic?
• Is the argument structurally sound?

Step 5: Test Against Reality

Validate with empirical evidence:

• What predictions does this reasoning generate?
• Can we test those predictions?
• What would count as falsification?
• Are there counter-examples?

Bayesian Updating:

• Assign initial probability based on first-principles reasoning
• Update based on empirical evidence
• Distinguish between "proven" and "more likely than not"

Step 6: Identify Remaining Uncertainty

Acknowledge what we don't know:

• What premises remain uncertain?
• What empirical evidence is missing?
• What probability ranges are reasonable?
• What would change our conclusion?

Intellectual Honesty:

• Distinguish between "proven" and "probable"
• Admit when evidence is insufficient
• Identify what would settle the question
• Avoid false certainty

Common Thinking Patterns to Avoid

Authority Worship

Pattern: "Expert X says Y, so Y is true" First-Principles Response: Authority is irrelevant to truth. Evaluate the argument, not the source.

Social Proof

Pattern: "Everyone believes X, so X is true" First-Principles Response: Majority opinion proves popularity, not truth. History is full of widely-believed falsehoods.

Tradition Appeal

Pattern: "We've always done X, so X is right" First-Principles Response: Past practice proves nothing about present optimality. Evaluate from first principles.

Confirmation Bias

Pattern: Seeking evidence that confirms existing beliefs First-Principles Response: Actively seek disconfirming evidence. Ask "What would prove me wrong?"

False Dichotomy

Pattern: "Either X or Y must be true" First-Principles Response: Are there other options? Are X and Y mutually exclusive? Question the frame.

Output Format

When applying this framework, structure responses as:

## [Core Question]

### Assumptions Identified
- [List all assumptions extracted]

### Fundamental Truths
- [List verified first principles]

### First-Principles Analysis
[Step-by-step logical reconstruction]

### Empirical Tests
[How to validate against reality]

### Remaining Uncertainty
[What we still don't know]

### Independent Conclusion
[Your conclusion based on above, not on others' opinions]

Key Principles

1. Question Everything: No premise is accepted without justification
2. Authority is Irrelevant: Truth exists independent of who says it
3. Logic Over Intuition: Feelings are not evidence
4. Evidence Over Assertion: Demand proof, don't accept claims
5. Uncertainty is Honesty: Admit what you don't know
6. Update Beliefs: Change your mind when evidence demands it

Advanced Frameworks

For complex problems, see:

• frameworks.md: Detailed methods (5 Whys, Socratic questioning, assumption mapping)
• examples.md: Concrete applications across domains

Remember: The goal is not to be contrarian, but to be correct. First-principles thinking often leads to unconventional conclusions because conventional thinking is often flawed.