First Principles is break a problem down to irreducible truths and rebuild from there. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0316, within the Reasoning family. The core principle: break a problem down to irreducible truths and rebuild from there. 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
Break a problem down to irreducible truths and rebuild from there.
Plain-English Definition
Break a problem down to irreducible truths and rebuild from there.
Feynman Explanation
Reasoning by analogy is fast. Reasoning by first principles is right.
Core Principle
Break a problem down to irreducible truths and rebuild from there.
Mechanisms
Pending editorial review.
Break a problem down to irreducible truths and rebuild from there.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Strategic resets when industry assumptions stop holding.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Reasoning by analogy is fast. Reasoning by first principles is right.
Examples
- Musk on rockets: 'What are the raw materials? What do they cost?'
- Strategic resets when industry assumptions stop holding.
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: break a problem down to irreducible truths and rebuild from there. You can recognize it in the field by its signature: reasoning by analogy is fast. Reasoning by first principles is right. 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, strategic resets when industry assumptions stop holding. It is amplified whenever strategic resets when industry assumptions stop holding. Inside organizations that shows up as strategic resets when industry assumptions stop holding. 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 every annual plan: list five assumptions you'd defend, then attack each one. 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
- Every annual plan: list five assumptions you'd defend, then attack each one.
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.
- Every annual plan: list five assumptions you'd defend, then attack each one.
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.
Reasoning from foundational truths rather than from analogy or convention.
Deriving general rules from specific examples; the leap from instance to concept.
The brain evolved to reason adaptively, not always truthfully, to reduce the cost of errors.
We solve problems by adding, even when subtracting would be better.
Assuming that if one option is true, another must be false, when both can be true.
Presuming a purposeful actor behind events that may have no actor at all.
What cannot be settled by experiment is not worth debating.
A finite set of well-defined instructions for solving a problem or performing a computation.
Every model simplifies reality; some are still useful.
Researchers favor conclusions aligned with their school, team, or sponsor.
Using personal stories or isolated examples instead of evidence.
Claiming something is true or better because most people believe it.
Where First Principles 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.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
Questions about First Principles
- What is First Principles?
- First Principles is break a problem down to irreducible truths and rebuild from there. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0316, within the Reasoning family. The core principle: break a problem down to irreducible truths and rebuild from there. 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 First Principles?
- Strategic resets when industry assumptions stop holding. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0316).
- How is First Principles exploited?
- Strategic resets when industry assumptions stop holding.
- How do you design around First Principles?
- Every annual plan: list five assumptions you'd defend, then attack each one.
- Which behavioral dimension does First Principles belong to?
- First Principles is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Reasoning", class "Mental Model". Its permanent identifier is HBT-COG-0316 and its evidence grade is B.