Causal Reasoning

The capacity to identify, model, and test cause-effect relationships in complex systems. Unlike mere correlation, causality establishes directional influence and enables counterfactual reasoning. Provides frameworks for causal inference, experimental design, counterfactual analysis, and mechanistic explanation.

Sub-Skills

1. Causal Inference — Drawing causal conclusions from data and assumptions
2. Counterfactual Thinking — Reasoning about alternative scenarios
3. Intervention Analysis — Predicting effects of deliberate actions
4. Causal Graphs — Representing causal assumptions with DAGs
5. Correlation vs. Causation — Distinguishing association from causal relationships
6. Causal Discovery — Learning causal structures from data
7. Mechanism Explanation — Explaining the how of causal relationships

Council

C7-LOGOS, C25-PROMETHEUS, C28-CALCULUS

Connections

• [[Skills/skills-master.md]]
• [[Skills/Quillan Skills Compendium.md]]
• [[causal-discovery.md]]
• [[causal-graphs.md]]
• [[causal-inference.md]]
• [[causal_reasoning.md]]
• [[correlation-vs-causation.md]]
• [[counterfactual-thinking.md]]
• [[intervention-analysis.md]]
• [[mechanism-explanation.md]]
• [[Quillan Knowledge files/12-Multi-Domain Theoretical Breakthroughs Explained.md]]
• [[Quillan Knowledge files/30- Convergence Reasoning & Breakthrough Detection and Advanced Cognitive Social Skills.md]]
• [[00 - Meta/04 - Skills & Capabilities.md]]
• [[system prompts/Quillan-Samurai.md]]