Consciousness remains a complex subject in cognitive science, philosophy, neuroscience, and mathematics. This paper presents a method for understanding consciousness as an emergent phenomenon shaped by both environmental stimuli and unseen internal factors. While external conditions influence awareness through hierarchical processing, certain cognitive states—exceptions exist as those described in concepts of selflessness and true self—suggest that consciousness can transcend environmental control, as seen in meditation and deep focus. We introduce a probabilistic model, P(A∣B), where A represents consciousness or next level input, and B includes both environmental and unseen factors. Experimental evidence, including studies on sensory deprivation and altered states of consciousness, supports the claim that awareness results from both external input and internal mechanisms. This framework integrates neuroscience, psychology, and probability theory to provide a structured yet adaptive understanding of consciousness.