(Note: This post separates verified facts from interpretation. The goal is to examine an unresolved case and log an additional data points)
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The Case
The disappearance of William Neil McCasland remains unresolved.
Baseline facts:
• Retired USAF Major General
• Former Commander, Air Force Research Laboratory
• Disappeared February 2026 (Albuquerque, NM)
• 1 hour disappearance window
• Phone and personal devices left behind
• Took boots, wallet, and a firearm
• Appears to have left on foot
• No confirmed sightings
• FBI involved
No confirmed cause. No resolution.
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Non-Conventional Inputs in Investigations
Remote viewing is controversial but historically documented:
• The Stargate Project (1970s–1990s) explored anomalous cognition for intelligence use
• Law enforcement has, at times, consulted non-conventional inputs in low-information or stalled cases
Practical takeaway:
In high-priority or anomalous cases, it is reasonable to assume that unconventional methods may be evaluated by the US intelligence community including RV.
From a public OSINT standpoint, excluding entire categories of data a priori limits pattern detection.
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The Data Point: Blind Remote Viewing Session
I came across a remote viewing session conducted under blind conditions.
Link: [https://youtu.be/j4LLJwarp9g\](https://youtu.be/j4LLJwarp9g)
Key detail:
\* The viewer reported being relatively unfamiliar with McCasland
\* The target identity was only revealed after the session was completed
Logging this strictly as a data point for comparison, not as evidence.
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Observed Patterns
- Targeting / Interception
Repeated language indicating:
• “tracked”
• “location marked”
• “targeted”
Reads as deliberate focus on a specific individual.
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- Technological Signature
Consistent perception of:
• A metallic spherical object
• “energy pulses,” “signals,” “directed force”
Described as:
• Engineered
• Purpose-driven
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- Environmental Overlap
Two overlapping signatures:
• Industrial / structural (steel framework, lattice-type construction)
• Remote terrain (mountain / ridge environment)
Frequent aerial vantage point.
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- Event Profile
• Sudden, high-energy moment
• Pulse / wave-type effect
• Interpreted as controlled intervention
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- Coordinated Agency
Strong impressions of:
• Organization
• Authority
• Multi-actor involvement
Suggests a structured operation.
⸻
- Non-Human Element
The viewer explicitly described an “insectoid being”
• Direct callout (not implied)
• Accompanied by a sketch
• Distinct from typical “grey” descriptions
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- Subject Rendering
The viewer also produced a detailed sketch of a human figure, which many interpret as the general:
• Controlled demeanor
• Military bearing
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The Anomalous Detail
One detail that initially appears random:
• Viewer referenced a nickname: “Grey Goose”
However:
• McCasland reportedly went by his middle name, “Gus”
• In Air Force culture, nicknames often derive from names
→ “Gus” → “Goose” is a plausible connection
Interesting, but a non-obvious overlap, especially given the viewer only learned the target after completing the session.
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The Implied Scenario
Taken at face value, the session is describing:
A targeted interception event involving advanced technology, coordinated actors, and possible non-human (insectoid) intelligence.
This is the internal logic of the dataset, not a verified conclusion.
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For consideration
Because in unresolved cases, especially those adjacent to:
• advanced research programs
• defense/intelligence backgrounds
• anomalous disappearance profiles
…it’s useful to track recurring patterns across all inputs.
⸻
Cross-Session Validation
A single session is not meaningful in isolation.
What matters:
• Multiple independent viewers
• Same target, blind conditions
• Compare overlap
If elements like:
• targeting
• spherical tech
• environment
• non-human presence
repeat across sessions → signal
If not → noise
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Conclusion: Building the Dataset
McCasland’s case remains open.
This is one data point.
Next steps:
• Compare other blind remote viewing sessions for the general or similar case like Monica Reza
• Cross check with other available data
That’s how you move from isolated impressions to something testable.
by NatureFun3673