Disruption Theory is low-end or new-market entrants overtake established incumbents. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0244, within the Markets family. The core principle: low-end or new-market entrants overtake established incumbents. 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
Low-end or new-market entrants overtake established incumbents.
Plain-English Definition
Low-end or new-market entrants overtake established incumbents.
Feynman Explanation
The new entrant looks like a toy until it isn't.
Core Principle
Low-end or new-market entrants overtake established incumbents.
Mechanisms
Pending editorial review.
Low-end or new-market entrants overtake established incumbents.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Reading early signals of structural shifts.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
The new entrant looks like a toy until it isn't.
Examples
- Digital cameras. Streaming. AI tools.
- Reading early signals of structural shifts.
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: low-end or new-market entrants overtake established incumbents. You can recognize it in the field by its signature: the new entrant looks like a toy until it isn't. 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, reading early signals of structural shifts. It is amplified whenever reading early signals of structural shifts. Inside organizations that shows up as reading early signals of structural shifts. 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 watch the bottom of your market more carefully than the top. Watch for it at the boundaries: handoffs, promotions, incident reviews, and budget cycles are where this element gets its power.
Famous Experiments
Pending editorial review.
Design Principles
- Watch the bottom of your market more carefully than the top.
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.
- Watch the bottom of your market more carefully than the top.
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.
The rate at which customers (or employees) leave over a period.
The gap between early adopters and the early majority kills most products.
Innovators → early adopters → early majority → late majority → laggards.
Prices driven far above intrinsic value by feedback loops of belief and behavior.
Asset prices fully reflect available information; you can't reliably beat the market.
Doing everything right by current customers can kill you.
Customers hire products to do a job in their life.
Aggregating many niche markets equals or exceeds the mainstream.
Beliefs about reality shape the reality.
Technologies grow slowly, then explode, then plateau.
Small visible disorders signal that bigger ones will be tolerated.
Nonlinear systems are highly sensitive to initial conditions.
Where Disruption Theory 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 Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about Disruption Theory
- What is Disruption Theory?
- Disruption Theory is low-end or new-market entrants overtake established incumbents. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0244, within the Markets family. The core principle: low-end or new-market entrants overtake established incumbents. 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 Disruption Theory?
- Reading early signals of structural shifts. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0244).
- How is Disruption Theory exploited?
- Reading early signals of structural shifts.
- How do you design around Disruption Theory?
- Watch the bottom of your market more carefully than the top.
- Which behavioral dimension does Disruption Theory belong to?
- Disruption Theory is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Markets", class "Mental Model". Its permanent identifier is HBT-COG-0244 and its evidence grade is B.