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2026-07-29-product-experimentation-with-instrumental-variables-unconfounding-llm-ro-9436afb372

Using Instrumental Variables to Unconfound LLM Routing Decisions

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Using Instrumental Variables to Unconfound LLM Routing Decisions

EDITOR BRIEF

The article explains that comparing task success between premium and cheaper model routes with ordinary regression can be misleading, because the routing rule also changes which queries each model receives. That means the measured lift mixes model effect with query difficulty. It introduces instrumental variables as a way to separate those effects using a third factor that changes routing for reasons unrelated to query quality.

INSIGHTS

This matters because routing decisions in LLM systems can look better or worse than they really are if you ignore confounding. A good next step is to learn the basics of causal inference and try an instrumental-variable example in Python.

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