Learning Network is a deliberately curated set of people, sources, and feedback loops you draw on to learn faster than alone. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0437, within the Learning family. The core principle: a deliberately curated set of people, sources, and feedback loops you draw on to learn faster than alone. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
Scientific Definition
A deliberately curated set of people, sources, and feedback loops you draw on to learn faster than alone.
Plain-English Definition
A deliberately curated set of people, sources, and feedback loops you draw on to learn faster than alone.
Feynman Explanation
Your IQ is your network's bandwidth, not your skull's.
Core Principle
A deliberately curated set of people, sources, and feedback loops you draw on to learn faster than alone.
Mechanisms
Pending editorial review.
A deliberately curated set of people, sources, and feedback loops you draw on to learn faster than alone.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Compounding returns on every hour of learning the team invests.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Your IQ is your network's bandwidth, not your skull's.
Examples
- Munger's 'eminent dead' through books; Buffett's circle of advisors.
- Compounding returns on every hour of learning the team invests.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
This element is common enough to feel like human nature and specific enough to be engineered around. The mechanism underneath it is straightforward: a deliberately curated set of people, sources, and feedback loops you draw on to learn faster than alone. You can recognize it in the field by its signature: your IQ is your network's bandwidth, not your skull's. Every element in the Cognition dimension changes the perceived payoff of an action before the action happens, which is exactly where incentive design has leverage.
How it gets exploited
Left undesigned, compounding returns on every hour of learning the team invests. It is amplified whenever compounding returns on every hour of learning the team invests. Inside organizations that shows up as compounding returns on every hour of learning the team invests. The pattern is the same one Goodhart's Law describes: the measurable proxy attracts the effort, and the purpose behind it quietly loses funding.
How the Lab designs around it
The redesign move is to audit who and what you learn from quarterly. Prune the low-signal nodes. Treat it as infrastructure. Once you can see it in your own system, most of the argument about culture resolves itself.
Famous Experiments
Pending editorial review.
Design Principles
- Audit who and what you learn from quarterly. Prune the low-signal nodes.
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.
- Audit who and what you learn from quarterly. Prune the low-signal nodes.
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.
Learners build knowledge by integrating new experience with existing mental structures — not by passive reception.
Targeted reps at the edge of your ability, with fast feedback, on a specific weakness.
Four dimensions of learner preference: Active/Reflective, Sensing/Intuitive, Visual/Verbal, Sequential/Global.
Four learner preferences derived from Kolb: Activist, Reflector, Theorist, Pragmatist.
Four-stage cycle: Concrete Experience → Reflective Observation → Abstract Conceptualization → Active Experimentation.
Giving up after repeated exposure to uncontrollable negative events.
Performance improves with practice, but gains slow over time.
Default identity shift: you read, watch, and listen as a future teacher, not a passive consumer.
Preparing to teach a concept forces deeper encoding than passively studying it.
Pulling information out of memory cements it better than passively re-reading it.
Daily one-line capture of the single most important thing you learned that day.
Bloom-stacked curriculum that pairs passive online content with facilitated, experiential, and implementation phases.
Where Learning Network is cited in the corpus
Essays, field guides, and diagnostics from The Incentives Lab that apply this element.
- EssayGoodhart's Law in the Real World
How measurable proxies capture judgment.
- EssayThe Perverse Incentives Hiding in Your KPIs
Cognitive shortcuts turned into scorecards.
- EssayAI Agents Inherit Your Incentives
How this element propagates into automated systems.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
- ReferenceThe incentive glossary
Definitions for every mental model, bias, and fallacy in the corpus.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about Learning Network
- What is Learning Network?
- Learning Network is a deliberately curated set of people, sources, and feedback loops you draw on to learn faster than alone. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0437, within the Learning family. The core principle: a deliberately curated set of people, sources, and feedback loops you draw on to learn faster than alone. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
- What is an example of Learning Network?
- Compounding returns on every hour of learning the team invests. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0437).
- How is Learning Network exploited?
- Compounding returns on every hour of learning the team invests.
- How do you design around Learning Network?
- Audit who and what you learn from quarterly. Prune the low-signal nodes.
- Which behavioral dimension does Learning Network belong to?
- Learning Network is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Learning", class "Mental Model". Its permanent identifier is HBT-COG-0437 and its evidence grade is B.