Rigorous Reasoning

This skill provides a rigorous reasoning framework based on philosophy and scientific methods to analyze, evaluate, and construct arguments.

Core Principles

1. Socratic Method

Ask continuous questions to clarify and challenge assumptions:

Clarifying definitions → Challenging assumptions → Questioning evidence → Exploring consequences → Considering alternatives

Application:

• "When you say X, how do you define X?"
• "What assumptions underlie this argument?"
• "What evidence supports this conclusion?"
• "If this is true, what are the logical consequences?"

2. Standard Argument Structure

Every argument must have:

PREMISES
  ├── Premise 1: [Verifiable claim]
  ├── Premise 2: [Verifiable claim]
  └── ...
           ↓
INFERENCE RULE
  └── [Modus ponens / Modus tollens / Syllogism / ...]
           ↓
CONCLUSION
  └── [Claim logically derived from premises]

3. Valid Inference Rules

Identifying Logical Fallacies

Formal Fallacies

Informal Fallacies

Scientific Method in Reasoning

Claim Evaluation Process

1. OBSERVATION
   └── What claim needs evaluation?

2. HYPOTHESIS
   ├── H₀ (null): The claim is false
   └── H₁ (alternative): The claim is true

3. PREDICTION
   └── If H₁ is true, what do we expect to observe?

4. TESTING
   ├── Evidence supporting H₁?
   ├── Evidence refuting H₁?
   └── Is the evidence falsifiable?

5. CONCLUSION
   ├── Confidence level?
   └── Alternative hypotheses?

Evidence Standards

Evidence hierarchy (strongest to weakest):

1. Meta-analysis / Systematic review - Synthesis of multiple studies
2. Randomized Controlled Trial (RCT) - Controlled experiments
3. Cohort study - Group follow-up research
4. Case-control study - Comparative case research
5. Expert opinion - Professional judgments
6. Anecdotal evidence - Personal stories (WEAKEST)

Occam's Razor

Among equivalent explanations, choose the simplest one.

Application:

• Don't multiply entities beyond necessity
• Prefer hypotheses with fewer assumptions
• Simple ≠ Correct, but it's a good starting point

Falsifiability Principle (Karl Popper)

A scientific claim must be capable of being refuted.

Test:

• "What evidence would prove this wrong?"
• If no answer → Not a scientific claim

Argument Analysis Process

Step 1: Reconstruction

Input: Raw argument
   ↓
1. Identify main conclusion
2. List explicit premises
3. Identify hidden premises
4. Arrange in logical structure
   ↓
Output: Standardized argument

Step 2: Evaluate Premises

For each premise, ask:

• True? (Is there supporting evidence?)
• Relevant? (Does it connect to the conclusion?)
• Sufficient? (Is it strong enough to infer the conclusion?)

Step 3: Evaluate Inference

• Does the inference follow valid rules?
• Are there any formal fallacies?
• Does the conclusion follow from the premises?

Step 4: Consider Counterarguments

• Are there counterexamples?
• Are there stronger opposing arguments?
• Is there additional information that changes the conclusion?

Thinking Tools

Steel Man (Opposite of Straw Man)

Before critiquing, build the strongest version of the opposing argument:

1. Fully understand the opponent's position
2. Add reasonable premises they may have omitted
3. Rephrase in the most compelling way
4. Then critique

Principle of Charity

When an argument can be interpreted multiple ways, choose the most reasonable interpretation before evaluating.

Reductio ad Absurdum

Prove something false by:

1. Assume it's true
2. Derive logical consequences
3. Show consequences lead to contradiction
4. Conclude: The initial assumption is false

Thought Experiment

Construct hypothetical scenarios to test intuitions and explore logical consequences.

Quick Evaluation Checklist

When encountering an argument, check:

• Is the conclusion clearly stated?
• Are all premises listed?
• Do premises have supporting evidence?
• Does inference follow valid rules?
• No formal fallacies?
• No informal fallacies?
• Considered opposing viewpoints?
• Is the claim falsifiable?
• Is evidence strong enough?
• Applied Occam's Razor?

Applied Example

Analyzing an Argument

Raw argument: "AI will replace all jobs because computers are becoming increasingly intelligent."

Reconstruction:

P1: Computers are becoming increasingly intelligent
P2: [Hidden] All jobs can be performed by sufficiently intelligent machines
P3: [Hidden] This development will continue without limits
─────────────────────────────────
C: AI will replace all jobs

Evaluation:

• P1: Partially true, need to quantify "intelligent"
• P2: Unproven assumption - are there jobs requiring human elements?
• P3: Assumption about the future - are there physical/technical limits?
• Fallacies: Hasty Generalization, Slippery Slope
• Conclusion: Weak argument, needs stronger evidence for P2 and P3

References

For deeper understanding of philosophical foundations, see [references/philosophical-frameworks.md](references/philosophical-frameworks.md) - including:

• Classical Logic (Aristotle)
• Rationalism (Descartes, Spinoza, Leibniz)
• Empiricism (Locke, Hume)
• Critical Philosophy (Kant)
• Logical Positivism (Vienna Circle)
• Philosophy of Science (Karl Popper)
• Dialectical Method (Hegel, Marx)
• Pragmatism (Peirce, James, Dewey)