Data Deception: When to Trust the Numbers

A training-style talk on common sources of data manipulation and flawed methodologies hidden in AI analysis, unpacking the most common forms of metric manipulation and how to identify them with AI agents. A reprise of a standing-room-only 2025 talk, refreshed with a focus on AI agent guardrails that prevent flawed causal inference.