Remote Viewing

What Remote Viewing Is—and Is Not

Remote viewing is a structured attempt to describe a target that is hidden from the participant and unavailable through ordinary sensory contact.

The core idea

A target might be a location, photograph, object, or event. A target coordinator selects it, gives it a neutral identifier, and keeps its identity concealed. The viewer records spontaneous impressions—such as bright, cold, curved, metallic, open, moving, or echoing—before receiving feedback.

The word viewing can be misleading. Participants may report textures, sounds, temperatures, motion, spatial relationships, feelings, or sketches rather than a movie-like mental picture. A session is most useful as an experiment when the target is selected in advance, information leakage is prevented, and the response is preserved before feedback.

Important distinctions

The 1950s: Mind Research and the Birth of AI

The 1950s supplied the political and scientific background, but the public record does not show a formal U.S. remote-viewing program operating throughout that decade.

Cold War attention to the mind

After World War II, U.S. intelligence agencies feared that adversaries might develop new interrogation, propaganda, psychological, or behavioral techniques. Programs including BLUEBIRD, ARTICHOKE, and MKULTRA examined subjects such as hypnosis, drugs, interrogation, and behavior modification. These programs are historically important, but they were not the same as the later remote-viewing effort.

Outside intelligence agencies, parapsychologists continued laboratory work on extrasensory perception, telepathy, clairvoyance, and card-guessing. Such research helped preserve the larger question: could information be acquired through a channel not recognized by conventional science?

Artificial intelligence receives a name

In 1955, John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon proposed a summer study of “artificial intelligence.” The 1956 Dartmouth gathering is widely treated as the field’s founding event. Its bold premise was that aspects of learning and intelligence might be described precisely enough for machines to simulate them.

The 1960s: Cold War Competition for Information

During the 1960s, American defense research pursued computer intelligence while intelligence analysts monitored reports of Soviet and Eastern European parapsychology.

Reports from the other side of the Iron Curtain

Western observers reported Soviet and Czechoslovak interest in telepathy, psychokinesis, hypnosis, unusual human performance, and “psychotronics.” The quality and military value of that work were uncertain. Nevertheless, Cold War planners had a powerful reason to investigate: they feared ignoring a capability that an adversary might possess.

This is a recurring intelligence problem. Agencies sometimes explore low-probability ideas because the consequences of being surprised could be serious. Investigation therefore proves interest—not success.

Early government-supported AI

ARPA’s Information Processing Techniques Office expanded support for computing and AI. Work included human-computer interaction, symbolic reasoning, language, planning, and robotics. At Stanford Research Institute, the Shakey robot project combined cameras, sensors, maps, and planning software. It could “perceive” a limited environment because instruments supplied data to a computer.

What we should not claim

There is no credible public documentation showing that 1960s AI secretly powered psychic perception or that early computers could access unknown distant events without data. The strongest connection is historical: Cold War agencies funded unconventional approaches to intelligence and decision-making.

The 1970s: SRI, the CIA, and Remote Viewing

The documented U.S. remote-viewing story takes recognizable form in 1972 at Stanford Research Institute.

The SRI program

Physicists Harold Puthoff and Russell Targ conducted experiments with individuals including artist Ingo Swann and former police commissioner Pat Price. CIA sponsorship supported early work. The neutral phrase “remote viewing” helped distinguish a controlled procedure from the broader language of clairvoyance.

In a typical experiment, a participant attempted to describe a location or target unknown to them. Some trials used an outbound person at a randomly chosen location. Others used coordinates, photographs, or designated sites. Responses could include sketches and sensory descriptors. Researchers compared those responses with the target after the session.

Why the CIA cared

• Concern that the Soviet Union might be developing a comparable capability.
• Possibility of gathering information from denied locations.
• Low physical risk compared with placing an agent inside a target area.
• Interest in any method that might supplement—not necessarily replace—ordinary intelligence.

Early personalities

Ingo Swann helped develop structured descriptive methods and emphasized recording basic impressions before interpretation. Pat Price became known for detailed location descriptions. Puthoff and Targ argued that some results deserved scientific attention. Critics challenged experimental controls, judging procedures, sensory leakage, selective reporting, and repeatability.

From SCANATE to STAR GATE

“STAR GATE” is commonly used as an umbrella name, but the work moved among agencies and code names over more than two decades.

The 1995 disagreement

Statistician Jessica Utts argued that some laboratory results provided evidence of anomalous cognition. Psychologist Ray Hyman argued that methodological problems and the need for independent replication prevented that conclusion. The operational review found that the produced information was often vague, inconsistent, and difficult to use without substantial interpretation.

A fair course does not erase either side. Statistical deviation from chance, if present, is not automatically the same as a reliable intelligence tool. A method used in national security must deliver specific, timely, independently verifiable information with a manageable error rate.

Perception, Intuition, and the Constructing Mind

Before proposing an unknown information channel, we must understand how ordinary perception and memory can create powerful experiences.

The brain does not simply record

Perception combines incoming signals with expectations, past experience, attention, and prediction. This is normally useful: incomplete sensory information becomes a workable picture of the world. But the same process can produce false certainty when information is sparse.

Common sources of error

• Confirmation bias: noticing matches and overlooking misses.
• Hindsight bias: believing an ambiguous statement was obviously correct after seeing the target.
• Source-monitoring error: forgetting whether an image came from the session, memory, or a hint.
• Subjective validation: treating general statements as uniquely accurate.
• Pattern completion: building a full story from a few fragments.
• Cueing: unconsciously reading a monitor’s voice, expression, or wording.

Analytical overlay

Remote-viewing practitioners use the term analytical overlay, or AOL, for the mind’s attempt to name a target too quickly. A flash of “cold, white, open, high” may become “snowy mountain.” Once that label appears, imagination may add trees, skiers, and a cabin. The disciplined response is to write “AOL: snowy mountain,” release it, and return to basic descriptors.

Building a Controlled Remote-Viewing Protocol

A dramatic impression proves little without a protocol that prevents ordinary information from reaching the viewer.

Roles

• Target coordinator: builds the target pool and randomizes selection.
• Viewer: receives only a neutral target code and records impressions.
• Monitor: supports the session without knowing the target whenever possible.
• Judge: compares the preserved response with the target and decoys.

Minimum procedure

1. Create a pool of visually distinct targets.
2. Assign neutral codes that contain no clues.
3. Use a random procedure to select the target.
4. Keep the viewer and session monitor blind.
5. Record the entire response before feedback.
6. Time-stamp or securely save the response.
7. Judge it against the correct target and comparable decoys.
8. Keep every session, including misses.

Recommended session sequence

Settle: breathe slowly and release expectations. Begin: write the target ID, date, and time. Probe: record immediate lines, textures, temperatures, colors, sounds, dimensions, movement, and ambience. Sketch: show relationships without trying to make art. Separate: label interpretations as AOL. Close: sign and save the response before feedback.

Guided Practice Laboratory

Use the built-in target generator for practice. For stronger testing, ask a second person to create a larger independent target pool outside this page.

Session scoring sheet

A high self-score can be informative, but independent judging against decoys is stronger. Do not rewrite notes after feedback. Record misses with the same care as hits.

Evidence, Judging, and Honest Scoring

The question is not whether a response contains any resemblance. With enough general words, almost every response will match something. The question is whether it matches the correct target better than suitable alternatives.

Why decoys matter

Suppose a response says “large, open, blue, moving, bright.” After seeing an ocean photograph, the description may feel impressive. But it might fit a waterfall, swimming pool, blue stadium, or glass building. A blind judge should compare the response with several targets before learning which one is correct.

Rank-order judging

1. Prepare one correct target and three or more decoys selected by a consistent rule.
2. Remove names, dates, or other clues from the response.
3. Give the judge all candidate targets in randomized order.
4. Ask the judge to rank them from best to worst match.
5. Reveal the correct target only after the ranking is locked.

Evaluating a body of work

One striking session may be memorable but cannot establish reliability. Look across many preplanned trials. Preserve failures, avoid changing procedures after seeing results, and report how targets, viewers, and sessions were selected. Independent replication is especially valuable.

Artificial Intelligence: From Rules to Pattern Learning

AI can create a technological form of distant perception, but it does so by processing information supplied through data and sensors.

Three broad periods

How AI appears to “see” remotely

• Satellites and drones provide imagery.
• Radar, infrared instruments, microphones, and network sensors provide signals.
• Databases supply previous observations.
• Computer-vision models identify features and changes.
• Predictive models estimate what is likely to happen next.
• Language models combine learned patterns to generate descriptions.

When the data source is invisible to the audience, AI output can look mysterious. But the system is still using a channel: training data, prompts, tools, metadata, or sensors. If a supposedly blind AI experiment leaks a filename, location tag, image signature, or prior target list, the AI may exploit it without the researcher realizing.

The Remote Viewing–AI Connection

The valuable comparison concerns information, uncertainty, interpretation, and error—not a claim that machines are psychic.

Historical connection

Both fields developed within a national-security environment interested in gaining an information advantage. Early AI sought to amplify reasoning, planning, recognition, and control. Remote-viewing research asked whether trained human consciousness could supply information when normal collection methods were blocked. The government funded both kinds of work, but the available record does not demonstrate that they shared a mechanism.

AI as a research assistant

AI can help generate neutral target codes, randomize target order, remove identifying language, organize session records, and calculate consistent scores. It can also compare a response with multiple candidate descriptions. However, the AI must be isolated from the answer until its judgment is locked.

Ethics, Safety, and the Capstone

A responsible course ends where responsible practice begins: humility, consent, privacy, documentation, and respect for evidence.

Ethical rules

• Do not target private individuals without meaningful consent.
• Do not accuse anyone of wrongdoing based on an impression.
• Do not use a session to diagnose illness or replace treatment.
• Do not make investments, legal decisions, or emergency decisions from remote-viewing claims.
• Do not tell vulnerable people that frightening impressions are certain facts.
• Keep personal session records secure and distinguish notes from verified information.
• Report misses, ambiguity, and uncertainty honestly.

Capstone project

Design and complete a five-trial mini-study. Use at least 20 possible targets, random selection, a viewer blind to the targets, preserved responses, four or more candidates per judging round, and an independent judge. State your method before beginning.

Your final report should include:

1. Research question and hypothesis
2. Target pool and selection method
3. Blinding and anti-leakage safeguards
4. Unedited session records
5. Judging and scoring procedure
6. All results, not only the strongest
7. Limitations and alternative explanations
8. Conclusion proportional to the evidence