l5-fooled-by-randomness_generator-axiom

Articulates the generator axiom explaining how humans favor the visible over the hidden.

Updated Jun 29, 2026
One-click install
npx skills add https://github.com/curation-labs/taleb-mind --skill l5-fooled-by-randomness-generator-axiom-curation-labs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: l5-fooled-by-randomness_generator-axiom
Source: https://github.com/curation-labs/taleb-mind/tree/main/skills/l5-fooled-by-randomness_generator-axiom
Command: npx skills add https://github.com/curation-labs/taleb-mind --skill l5-fooled-by-randomness-generator-axiom-curation-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? It distills the scattered catalogue of cognitive biases into a single generating principle, helping you understand why humans systematically misjudge risk and randomness. ## Core Features & Use Cases - Generator Axiom: States that we favor the visible over the hidden, the embedded over the abstract, the personal over the statistical, and the narrated over the raw. - Bias Unification: Shows how the availability heuristic, narrative fallacy, probability neglect, and survivorship bias all derive from one principle. - Use Case: When evaluating an investment or risk decision, apply the axiom to check whether you are overweighting vivid, personal, narrated evidence while ignoring hidden base rates and alternative histories. ## Quick Start Ask the Taleb mind to explain the generator axiom and apply it to a decision where vivid anecdotal evidence conflicts with statistical base rates.

Frequently Asked Questions about l5-fooled-by-randomness_generator-axiom

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the generator axiom in Fooled by Randomness?▼

The generator axiom states that humans favor the visible over the hidden, the embedded over the abstract, the personal over the statistical, and the narrated over the raw. Taleb presents it as the single principle generating most documented cognitive biases.

How does the generator axiom explain cognitive biases?▼

It derives each bias from one preference: the availability heuristic comes from favoring the visible, the narrative fallacy from favoring the narrated, and survivorship bias from favoring what is in front of us over invisible failures.

How do I apply the generator axiom to risk decisions?▼

Check whether your judgment relies on vivid, personal, narrated evidence while ignoring hidden base rates and alternative histories. Since important truths about risk are abstract and statistical, deliberately seek out the unobservable data your cognition skips.

What are the limitations of a single-axiom model of bias?▼

A single axiom is a compressed heuristic, not a complete psychological theory, so it may oversimplify biases with distinct mechanisms. Use it as a diagnostic lens for risk judgment rather than a replacement for empirical behavioral research.