Phenomenological Categories

Classifying anomalies by observable characteristics

Full Analysis

Intel Stream Decrypted

Phenomenological Categories group anomalies by observable characteristics rather than assumed causes: luminous (light-emitting), kinetic (movement patterns), electromagnetic (field effects), thermal (temperature), and acoustic (sound). This objective approach avoids premature conclusions while enabling systematic comparison across observations.

Strategic_Takeaway

"Classify by what you observe, not what you assume causes it."