Research

Cross-Domain Phenomenology

What happens when we compare Near-Death Experiences with UAP Contact Encounters? A data-driven look at overlapping phenomenology across 6,781 analyzed testimonies.

Research Note: This comparison is exploratory, not causal. The NDE corpus (6,781 accounts) is significantly larger than the UAP corpus (3954 accounts), which limits statistical power for UAP metrics. Percentages reflect within-domain frequency. Overlaps suggest shared phenomenological features worth further study.

Overlapping Phenomena

Shared features ranked by academic significance

NDE frequency
UAP frequency
#1

Entity Encounter

Direct encounter with a non-human intelligent presence — the core phenomenological overlap.

97% significance
Being of light / guideNon-human intelligence
55%
62%
#2

Telepathic Communication

Both NDE and UAP experiencers describe non-verbal, mind-to-mind communication with non-human entities.

95% significance
Entity telepathyEntity telepathy
25%
36%
#3

Ontological Shock

Both experiences fundamentally challenge the experiencer's model of reality, often triggering existential crisis.

93% significance
Reality reassessment post-NDEOntological shock rating
65%
48%
#4

Knowledge Download

Sudden, overwhelming influx of understanding — described as "just knowing" without being told.

92% significance
Knowledge download (core element)Noetic knowing
61%
40%
#5

Altered Consciousness

Hyper-lucid or radically altered state of consciousness — experiencers often describe it as "more real than real."

91% significance
Enhanced senses (core element)Trance/altered state
74%
81%
#6

Time Distortion

Experiencers in both domains report that time behaved abnormally — stopping, compressing, or stretching.

90% significance
Time distortion (core element)Dilated time perception
59%
27%
#7

Bright Light Phenomena

Both domains feature encounters with extraordinary, often overwhelming light — described as intelligent or purposeful.

88% significance
Bright light (core element)Luminous craft/entities
61%
69%
#8

Out-of-Body Experience

Feeling separated from the physical body — floating, being lifted, or observing from outside.

85% significance
OBE (core element)Kinesthetic displacement
84%
9%
#9

Paralysis/Immobility

Involuntary paralysis during the experience — inability to move or speak while mentally alert.

80% significance
Inability to move/speakWitness paralysis
15%
1%
#10

Feelings of Peace/Love

Profound feelings of unconditional love, peace, and acceptance during the encounter.

75% significance
Feelings of peace (core element)Love/peace emotion
93%
2%

Entity Types Encountered

Types of non-human entities described by experiencers in each domain.

NDE (N=12,481)
UAP (N=4,100)
CategoryNDEUAPDistribution
Religious Figure3,1310
Deceased Relative2,6640
Unknown1,791775
Humanoid01,719
Group1,4470
Angel1,13714
Guide1,0150
Light Being508241
Grey0642
Deceased Friend4080
Animal2090
Mantis0146

Communication Methods

How entities communicated with experiencers.

NDE (N=11,224)
UAP (N=3,871)
CategoryNDEUAPDistribution
Telepathy3,1641,494
Verbal4,201423
Presence2,25852
Emotional1,34359
Gesture9118
Vision200
Technological08
Vibrational60
Other40
Voice10

Emotional Quality

Dominant emotional tone of entity encounters.

NDE (N=12,481)
UAP (N=5,805)
CategoryNDEUAPDistribution
Love7,96957
Peace1,00544
Joy15756
Compassion10211
Awe21,303
Excitement3384
Curiosity31,264
Neutral2,1091
Authority52197
Shock1392
Anxiety18162
Fear3701,396

Methodology & Limitations

This analysis uses AI-extracted phenomenological features from 6,781 NDE video testimonies and 3954 UAP video testimonies. Features were extracted using large language models (Gemini 2.5 Flash) with structured output schemas designed to capture entity types, communication modalities, consciousness alterations, and physical effects.

Key limitations: (1) The UAP corpus is significantly smaller than the NDE corpus, limiting statistical confidence for UAP-specific metrics. (2) AI extraction may miss nuance or introduce classification bias. (3) Video testimony is a self-selected sample and does not represent population-level prevalence. (4) Phenomenological similarity does not imply shared mechanism or ontological identity.

Researchers interested in the raw data or methodology are welcome to contact us.