न, कारणतस्तदुपलब्धेः॥
na, kāraṇatastadupalabdheḥ.
The objector switches strategies, targeting the next logic instrument: Inference (Anumāna) is invalid because its indicators can be misleading, like a river rising due to a dam block rather than actual rainfall.
Once a logic system is built, it assumes every deduction is automatically 100% correct.
Nyāya actively looks for multi-causal flaws, forcing developers to build strict filters to verify data lines.
COGNITIVE PHILOSOPHY RUNTIME
Telemetry data ambiguity. The opponent claims that a logging indicator cannot be trusted because two completely different backend functions can output the same error code.
HISTORICAL COMMENTARY ANALYSIS
The opponent launches a major attack against the Inference engine. They claim that if you infer it rained because the river is flooding, you could be wrong—someone might have just opened a dam upstream. Since your inference indicators can have multiple causes, deduction is untrustworthy noise.
[ SYSTEM VERIFIED ]
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[ DELUSION REMOVED ]
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[ LOGIC OVERRIDE ]