Probability Neglect is we ignore probability when outcomes are emotionally charged. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0553, within the Risk family. The core principle: we ignore probability when outcomes are emotionally charged. 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
We ignore probability when outcomes are emotionally charged.
Plain-English Definition
We ignore probability when outcomes are emotionally charged.
Feynman Explanation
Fear and hope both make math disappear.
Core Principle
We ignore probability when outcomes are emotionally charged.
Mechanisms
Pending editorial review.
We ignore probability when outcomes are emotionally charged.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Emotional risks get funded; boring risks get ignored.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Fear and hope both make math disappear.
Examples
- Spending disproportionately on a sensational but rare risk.
- Emotional risks get funded; boring risks get ignored.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
The mistake with this element is treating it as irrationality. It is almost always a rational response to a payoff nobody wrote down. The mechanism underneath it is straightforward: we ignore probability when outcomes are emotionally charged. You can recognize it in the field by its signature: fear and hope both make math disappear. 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, emotional risks get funded; boring risks get ignored. It is amplified whenever emotional risks get funded; boring risks get ignored. Inside organizations that shows up as emotional risks get funded; boring risks get ignored. 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 quantify probabilities before allocating resources to risks. 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
- Quantify probabilities before allocating resources to risks.
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.
- Quantify probabilities before allocating resources to risks.
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.
Preferring options with known probabilities over options with unknown ones.
We overweight outcomes that are certain relative to merely probable ones.
Convex payoffs gain more than they lose; concave do the opposite.
Influence tactics weaponized — manipulation, coercion, exploitation of trust.
Dread weighs roughly double in our calculus what the equivalent gain does.
Build buffers so small mistakes don't become fatal.
Frequent evaluation amplifies loss aversion and produces overly conservative behavior.
The moment after which reversing a course becomes impossible or extremely costly.
We overweight tiny probabilities of large gains or losses.
People take more risks when they feel safer.
Risk has known probabilities. Uncertainty doesn't.
Risk decisions are driven by current emotion — not just by computed probabilities.
Where Probability Neglect 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.
- EssayIncentives Under Crisis
How this element behaves under pressure.
- 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 Probability Neglect
- What is Probability Neglect?
- Probability Neglect is we ignore probability when outcomes are emotionally charged. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0553, within the Risk family. The core principle: we ignore probability when outcomes are emotionally charged. 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 Probability Neglect?
- Emotional risks get funded; boring risks get ignored. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0553).
- How is Probability Neglect exploited?
- Emotional risks get funded; boring risks get ignored.
- How do you design around Probability Neglect?
- Quantify probabilities before allocating resources to risks.
- Which behavioral dimension does Probability Neglect belong to?
- Probability Neglect is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Risk", class "Mental Model". Its permanent identifier is HBT-COG-0553 and its evidence grade is B.