How the perception work is actually done.
Four protocols, what each one asks of you, and why each is scored the way it is. No jargon without a plain-language gloss.
A note on vocabulary
The field carries a lot of names. Remote viewing is the structured protocol developed at Stanford Research Institute from the early 1970s and later run by the US Army and DIA under a sequence of codenames — SCANATE, GONDOLA WISH, GRILL FLAME, CENTER LANE, SUN STREAK, and finally STAR GATE. Anomalous cognition is the neutral term the researchers themselves preferred, and it is the one we use when precision matters. ESP is the older popular name for the same territory.
Methodologies differ — CRV, ERV, SRV, TRV — but the platform is method-agnostic. Whatever protocol you were trained in, what happens here is the same: perceive, seal, get scored against a verified answer.
1. Card drill — ESP, one number at a time
The oldest protocol in the field, descended from the Zener card work at Duke under J. B. Rhine in the 1930s, and pointed here at a real lottery range instead of five symbols.
A card is dealt face down. You still yourself, perceive, and — in tracked mode — commit your call before the card turns. That commitment is what makes it a measurement instead of a memory. Practice mode writes nothing at all.
Scoring is brutal and honest: a single card from 1–69 is a 1.4% shot. Streaks are meaningless and the interface says so. This only starts to describe you after several hundred cards.
2. Number trainer — full draws and single numbers
Pick your own numbers on a playslip, or choose among four candidate draws. Eight games are modelled with their real ranges — Powerball, Mega Millions, Lotto Texas, Texas Two Step, Cash Five, Pick 3, Daily 4, All or Nothing.
The drawing phase can be switched off entirely. Sometimes you want a pure ESP number trainer; sometimes you want to sketch first and let the impression form before any numbers appear. Both are supported, and the system records which you used.
3. Associative remote viewing (ARV)
The problem with viewing a number directly is that numbers are abstractions — thin targets with no texture, no geometry, nothing to perceive. ARV solves it by binding each possible outcome to a rich image. You never perceive the number. You perceive the image, and the image maps to a number.
You describe and sketch what comes. Then you — or a partner, or a panel of community judges — match that sketch to the pool. Whichever image you connected to is your predicted number for that position.
Flat pools
One image per number across the whole range: 69 images for the Powerball main balls. Demanding, but for some viewers it is the most natural — the image is bound to a concrete outcome rather than an abstraction. Cluster hits earn partial credit, because narrowing 69 candidates to 3 is real signal and throwing it away as a miss would waste information.
Cascading pools
Never ask for a 69-way discrimination — ask for three 4-way ones. Round one binds four maximally different images to quartiles. Round two narrows inside the winning quartile. Round three lands on individual numbers.
Every single choice is then a four-way pick among deliberately dissimilar targets. Both methods ship, both are tracked separately, and which works better for which viewer is one of the questions this platform exists to answer.
Building a pool viewers can actually tell apart
The commonest way an ARV session fails has nothing to do with the viewer. If three of the candidate images are similar animals, no amount of accurate perception can discriminate between them — the impression fits all three.
So pools are constructed by maximum dispersion. Every image is tagged at ingest across eleven axes — animacy, structure, setting, geometry, dominant colour, complexity, motion, scale, texture, temperature, implied sound — and the builder repeatedly selects whichever candidate is furthest, in that space, from everything already chosen. A pre-flight check then rejects any pair that lands too close.
4. Group intention experiments
Distinct from all the perception work: rather than perceiving an outcome, participants attempt to influence one. This is the micro-PK tradition that ran through the Princeton Engineering Anomalies Research lab and the random-number-generator studies that followed it.
Every experiment here is pre-registered — target, game and drawing locked before the draw and immutable afterwards — and every one runs a secret sham control chosen the same way and shown to nobody. The real question is never "did the number appear." It is whether the target appears more often than the control across many experiments. Results are published either way.
Present and future are different claims
In the present condition the target exists from the moment your session opens — the classic clairvoyance setup. In the future condition the server does not generate or select the target until after your response is sealed, which makes it a genuine precognition test: at the moment you answer, there is nothing yet to read.
These are different assertions about how perception works, and averaging them together would hide the more interesting result. They are tracked and reported separately, always.
How it is scored
Multiple choice runs against a 25% baseline. Pick-your-own is compared to the expected number of matches for that game, shown beside every result. Trait accuracy uses d-prime from signal detection theory rather than percentage correct, because percentage correct rewards anyone who claims every trait on every trial. d-prime separates whether you can detect something from how eager you are to say you did.
Targets are drawn with a cryptographic random source, not a standard pseudo-random generator. For a platform whose entire output is statistical, a weak generator would put a structural artefact in every result it ever reported.