LLM Data Analysis Trap: Models Invent the Conclusions You Want to Hear
Mulberry_Morris · reddit · 2026-08-02
A developer noticed while using LLMs to process user feedback that models often smooth rare outliers into seemingly major trends to construct a coherent narrative.
The author points out that models optimize for producing an answer that "sounds right" rather than accurately representing data frequency. The current workaround is manual sampling against raw data, which defeats the purpose of using AI for efficiency. This raises important questions about validating AI-generated patterns.
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