Apps

🧪 This platform is in early beta. Features may change and you might encounter bugs. We appreciate your patience!

Just-World Hypothesis

Also Known As: Just World Fallacy Just World Belief Belief in a Just World
Cognitive Bias ID: just_world_hypothesis

Definition

The just-world hypothesis is the cognitive bias that the world is fundamentally fair, meaning that people generally get what they deserve and deserve what they get. This belief leads to victim-blaming, where people assume that those who suffer must have done something to warrant their misfortune, and that success is always earned rather than partly due to luck or circumstance.

Examples

When hearing about someone who lost their life savings in a scam, listeners assume the victim must have been greedy or careless, rather than acknowledging that the scam was sophisticated enough to fool anyone.

After a colleague is laid off during company downsizing, coworkers quietly speculate that they must not have been working hard enough or must have had attitude problems — finding personal explanations for the misfortune rather than accepting that the layoff was driven by impersonal budget cuts.

When a news story covers a pedestrian struck by a reckless driver, comment sections fill with questions like 'Why were they walking there at that hour?' or 'Were they looking at their phone?' — implicitly placing responsibility on the victim rather than solely on the driver who broke the law.

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

    Does the reasoning assume the world is fundamentally fair?

    Type: binary
  2. 2

    Are outcomes attributed to people 'deserving' them (good or bad)?

    Type: binary
  3. 3

    Are systemic, random, or external factors being ignored as explanations?

    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