Risk-as-Feelings is risk decisions are driven by current emotion — not just by computed probabilities. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0588, within the Risk family. The core principle: risk decisions are driven by current emotion — not just by computed probabilities. 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
Risk decisions are driven by current emotion — not just by computed probabilities.
Plain-English Definition
Risk decisions are driven by current emotion — not just by computed probabilities.
Feynman Explanation
The market is a mood, briefly disguised as a model.
Core Principle
Risk decisions are driven by current emotion — not just by computed probabilities.
Mechanisms
Pending editorial review.
Risk decisions are driven by current emotion — not just by computed probabilities.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Risk appetite at the executive level is mood-coupled.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
The market is a mood, briefly disguised as a model.
Examples
- Investors selling on fear, buying on euphoria — independent of the math.
- Risk appetite at the executive level is mood-coupled.
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 is one of the elements leaders describe as a values gap. It is a payoff gap. The mechanism underneath it is straightforward: risk decisions are driven by current emotion — not just by computed probabilities. You can recognize it in the field by its signature: the market is a mood, briefly disguised as a model. 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, risk appetite at the executive level is mood-coupled. It is amplified whenever risk appetite at the executive level is mood-coupled. Inside organizations that shows up as risk appetite at the executive level is mood-coupled. 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 separate the moment of analysis from the moment of decision. Add a cooling period. 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
- Separate the moment of analysis from the moment of decision. Add a cooling period.
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.
- Separate the moment of analysis from the moment of decision. Add a cooling period.
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.
We ignore probability when outcomes are emotionally charged.
People take more risks when they feel safer.
Risk has known probabilities. Uncertainty doesn't.
Where Risk-as-Feelings 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 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 Risk-as-Feelings
- What is Risk-as-Feelings?
- Risk-as-Feelings is risk decisions are driven by current emotion — not just by computed probabilities. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0588, within the Risk family. The core principle: risk decisions are driven by current emotion — not just by computed probabilities. 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 Risk-as-Feelings?
- Risk appetite at the executive level is mood-coupled. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0588).
- How is Risk-as-Feelings exploited?
- Risk appetite at the executive level is mood-coupled.
- How do you design around Risk-as-Feelings?
- Separate the moment of analysis from the moment of decision. Add a cooling period.
- Which behavioral dimension does Risk-as-Feelings belong to?
- Risk-as-Feelings is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Risk", class "Mental Model". Its permanent identifier is HBT-COG-0588 and its evidence grade is B.