Fallacies is errors in reasoning that undermine the logic of an argument. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0293, within the Reasoning family. The core principle: errors in reasoning that undermine the logic of an argument. 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
Errors in reasoning that undermine the logic of an argument.
Plain-English Definition
Errors in reasoning that undermine the logic of an argument.
Feynman Explanation
A fallacy is a wrong answer that looks right.
Core Principle
Errors in reasoning that undermine the logic of an argument.
Mechanisms
Pending editorial review.
Errors in reasoning that undermine the logic of an argument.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Reasoning quality is the cheapest, highest-leverage improvement available.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
A fallacy is a wrong answer that looks right.
Examples
- Strawman, ad hominem, false dilemma — alive in every leadership meeting.
- Reasoning quality is the cheapest, highest-leverage improvement available.
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: errors in reasoning that undermine the logic of an argument. You can recognize it in the field by its signature: a fallacy is a wrong answer that looks 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, reasoning quality is the cheapest, highest-leverage improvement available. It is amplified whenever reasoning quality is the cheapest, highest-leverage improvement available. Inside organizations that shows up as reasoning quality is the cheapest, highest-leverage improvement available. 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 train teams to name fallacies in real time without punishment. The test of any redesign here is simple: after the change, can you name what the organization is now doing less of? If not, the payoff structure did not actually move.
Famous Experiments
Pending editorial review.
Design Principles
- Train teams to name fallacies in real time without punishment.
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.
- Train teams to name fallacies in real time without punishment.
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.
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.
Assuming something is true because it is probable or possible.
Where Fallacies 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 Fallacies
- What is Fallacies?
- Fallacies is errors in reasoning that undermine the logic of an argument. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0293, within the Reasoning family. The core principle: errors in reasoning that undermine the logic of an argument. 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 Fallacies?
- Reasoning quality is the cheapest, highest-leverage improvement available. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0293).
- How is Fallacies exploited?
- Reasoning quality is the cheapest, highest-leverage improvement available.
- How do you design around Fallacies?
- Train teams to name fallacies in real time without punishment.
- Which behavioral dimension does Fallacies belong to?
- Fallacies is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Reasoning", class "Mental Model". Its permanent identifier is HBT-COG-0293 and its evidence grade is B.