UGC NET Questions (Paper – 1)

Samanyatodrsta anumana draws on widely observed uniformities that need not be strictly causal, for example inferring that something is moving when its position is constantly changing. The basis is a general correlation between two features rather than a detailed causal analysis. Nyaya reserves this term for such inferences grounded in generic co-existence.

Option A:
Option A, purvavat, is tied specifically to cause-to-effect reasoning and thus does not cover all non-causal uniformities of the kind mentioned.

Option B:
Option B is correct because samanyatodrsta literally means "known from generality" and designates inferences that rely on broad patterns of association rather than on clearly articulated causal sequences.

Option C:
Option C, sesavat, is effect-to-cause inference and presupposes a causal explanation, which is not emphasised in the motion example.

Option D:
Option D, kevalavyatireki, describes a vyapti pattern based solely on negative instances and has nothing to do with the causal or non-causal character of the relation.