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Neglect of Probability

Also Known As: Probability neglect
Cognitive Bias ID: neglect_of_probability

Definition

The tendency to disregard probability when making decisions under uncertainty, responding instead to the magnitude of outcomes. People treat small probabilities as either zero or much larger than they are, and fail to distinguish between different levels of low probability. This leads to both excessive fear of rare catastrophes and dismissal of moderate risks.

Examples

A person refuses to fly (annual risk of death approximately 1 in 11 million) but drives daily without concern (annual risk roughly 1 in 8,000). The vivid imagery of a plane crash overrides the actual probability assessment.

A parent refuses to let their child walk the two blocks to school alone, citing the terrifying (though extremely rare) possibility of stranger abduction — while routinely driving the same child on highways, which statistically poses a far greater risk of serious injury.

After reading a news story about a rare but gruesome reaction to a common vaccine, a healthy adult declines vaccination entirely. The vivid anecdote overrides the statistical reality that the risk of serious illness from the disease is orders of magnitude higher than the risk of the reaction.

Verification Steps
Verification Steps
Binary yes/no questions that an AI must answer to detect a reasoning pattern in a text.
Each of the 452 aspects has verification steps — simple yes/no questions designed to systematically detect whether a pattern appears in a text. For ad hominem: "Does the argument attack a person rather than their claim?" For false dichotomy: "Are only two options presented when more exist?" This ensures consistent, reproducible analysis.

Binary (yes/no) questions an LLM must answer to identify this aspect:

  1. 1

    Are decisions based on worst-case or best-case outcomes without considering their likelihood?

    Type: binary
  2. 2

    Is the probability of an event ignored while its consequences dominate the reasoning?

    Type: binary
  3. 3

    Would the decision change if explicit probabilities were considered?

    Type: binary
Deep Dive
The expandable detail section on each aspect page with examples, psychology, and counter-strategies.
The Deep Dive section provides in-depth information about each aspect: a real-world example showing the pattern in action, an explanation of why it works psychologically, practical advice on how to counter it, alternative names, and links to related aspects.

Hierarchical Context