Discussion on "Verification Is Not Causal: Why Shared Context Erases the Admissibility Gap"

Verification can confirm patterns, but it doesn’t establish causation—shared context often hides missing variables, so proper experimental design is still essential.

Verification alone doesn’t prove causality—without proper isolation, shared context can blur signals and make results misleading.

Thanks Laura - though the paper uses "non-causal" in a different sense than causal inference in statistics. Here it means the verification relation itself is structurally non-causal: the verifier cannot affect what it verifies without collapsing the distinction it exists to draw. Worth a read if you're curious about the architectural side.

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Verification Is Not Causal: Why Shared Context Erases the Admissibility Gap

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Verification Is Not Causal: Why Shared Context Erases the Admissibility Gap

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