Research

Cross-Domain Phenomenology

What happens when we compare Near-Death Experiences with UAP Contact Encounters? A data-driven look at overlapping phenomenology across 6,923 analyzed testimonies.

Research Note: This comparison is exploratory, not causal. The NDE corpus (6,923 accounts) is significantly larger than the UAP corpus (4059 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%
1%

Entity Types Encountered

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

NDE (N=12,764)
UAP (N=4,211)
CategoryNDEUAPDistribution
Religious Figure3,1980
Deceased Relative2,7070
Unknown1,831802
Humanoid01,764
Group1,4840
Angel1,16015
Guide1,0550
Light Being523247
Grey0657
Deceased Friend4220
Animal2090
Mantis0151

Communication Methods

How entities communicated with experiencers.

NDE (N=11,486)
UAP (N=3,972)
CategoryNDEUAPDistribution
Telepathy3,2291,530
Verbal4,294441
Presence2,31854
Emotional1,38361
Gesture9218
Vision210
Technological08
Vibrational60
Other40
Voice10

Emotional Quality

Dominant emotional tone of entity encounters.

NDE (N=12,764)
UAP (N=5,975)
CategoryNDEUAPDistribution
Love8,14057
Peace1,02944
Joy16258
Compassion10711
Awe21,341
Excitement3392
Curiosity31,300
Neutral2,1611
Authority53297
Shock1408
Anxiety19166
Fear3801,438

Methodology & Limitations

This analysis uses AI-extracted phenomenological features from 6,923 NDE video testimonies and 4059 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.