Scientific Definition
Fast intuitive vs. slow deliberative thinking.
Plain-English Definition
Fast intuitive vs. slow deliberative thinking.
Feynman Explanation
System 1 makes most decisions. System 2 takes credit for them.
Core Principle
Fast intuitive vs. slow deliberative thinking.
Mechanisms
Pending editorial review.
Pending editorial review.
Fast intuitive vs. slow deliberative thinking.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
System 1 makes most decisions. System 2 takes credit for them.
Examples
- Kahneman's Nobel-prize-winning research.
- Most executive decisions are System 1 dressed in System 2 clothing.
Pending editorial review.
Famous Experiments
Pending editorial review.
Design Principles
- Design forcing functions for System 2 on consequential decisions.
Measurement Approaches
Pending editorial review.
Evidence
Pending editorial review.
Pending editorial review.
The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Design forcing functions for System 2 on consequential decisions.
Pending editorial review.
Pending editorial review.
Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
How options are presented changes which ones get chosen.
Too many options produces worse decisions and less satisfaction.
Decision quality degrades over the course of a day.
Defaults bypass active cognition.
Two ways of thinking, both real, both useful, often mis-deployed.
Brain weights existing state heavily.
Glucose, omega-3s, sleep, and hydration each influence decision quality.
Naming an emotion reduces its intensity.
Cumulative physiological wear from chronic stress.
Emotional override of rational processing.
Brain region tracking conflict, error, and effort.
We treat AI as more humanlike than it is.