Pattern Recognition, Not Analysis: LLMs and the Correlation vs. Causation Trap In this reel, Dana DiTomaso breaks down why relying blindly on AI for data analysis can backfire if you don't understand how Large Language Models (LLMs) actually work. She explains that LLMs are built for pattern recognition, not true analysis, and they famously struggle with separating correlation from causation. Using a witty example about the historical data of left-handedness, Dana highlights how AI completely la

Correlation Coefficient