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A short statistics lesson for the normies lurking brought to you by ChatGPT

Lazyandtalentless

Lazyandtalentless

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**Title: Why Anecdotes About the "Short Ugly Guy Who Slays" Are a Bad Source**

Anecdotes like the "short ugly guy who slays" are often used to challenge broader narratives about attractiveness, but they have several key limitations:

1. **Limited Scope**: These stories are based on individual experiences, which cannot accurately represent the diverse realities of the wider population.

2. **Confirmation Bias**: People tend to highlight stories that support their views while ignoring numerous examples that contradict them, leading to a skewed perception of reality.

3. **Overemphasis on Individual Cases**: Focusing on one successful individual overlooks the multitude of others who may not share that same experience, creating an incomplete picture.


4. **Lack of Statistical Significance**: Personal stories lack the robustness of statistical data, which provides insights into broader trends and patterns in attraction.

In conclusion, while personal anecdotes can be compelling, they should not be relied upon as evidence for broader claims about attractiveness and relationships. A more nuanced understanding comes from considering comprehensive data rather than isolated experiences.
 
over when a bluepilled cucked AI is somehow against ITcucks as well. also not to mention but many of those anecdotes are most likely tales from a mumbai bathroom stall.
 
Midwits love anecdotes. They can't really imagine statistics that well so that automatically leads to confirmation bias.
 

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