Definition
This is the tendency to create broad, sweeping rules, categories, or beliefs based on a very small number of instances or personal anecdotes, ignoring the “Randomness” of the world.
Why It Matters
This bias is the root of “Stereotyping” and “Bigotry,” creating a “Liking/Disliking Bias” that prevents us from seeing the world clearly. In business and science, it leads to “Premature Scaling” and “False Positives”—investing massive resources into a “Trend” that was actually just “Noise.” Mastery of this concept is required to avoid being fooled by “Anecdotal Evidence.”
Core Concepts
- The Law of Small Numbers: People falsely believe that a small sample will follow the “Mean” of the population just as closely as a large one.
- Anecdotal Evidence: We give high “Signal” weight to a single “Vivid” story (narrative) while ignoring the “Noise” of the 1,000 cases that were different.
- Stereotyping Engine: This is the mechanical source of most “Liking/Disliking Bias.” One bad interaction with a “Category” leads to a “Denial” of all future virtues in that category.