Agents Prefer Mean Decisions Despite Stats Access
IanArawjo · x · 2026-07-12
Based on an agent study, this reply points out:
- Introducing evalstats MCP seemingly improves the agent's reasoning performance.
- However, under all conditions, agents still tend to ignore statistical details, ultimately making decisions based primarily on the mean.
- Therefore, the author suspects that simply exposing statistical results to an LLM via MCP is far from enough; it may be necessary to explicitly state in the output that "the analysis is uncertain."
The overall conclusion is pessimistic: integrating AI agents into statistical decision-making processes may not truly enable them to handle uncertainty.
Related event: Agents Still Ignore Stats After Eval Tooling(3 posts)→
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