The Documentary
We're documenting all of it: the clusters of eight, the sealed boxes, the readouts, the unblinding, and the result — remarkable, mixed, or nothing at all. The camera isn't decoration; it's part of the honesty. You watch the controls go on, the blinding hold, and the boxes open at the same moment we do.
What it is
Ashta runs as an open research programme, and a research programme only makes honest television if it stays honest on camera. So the documentary follows the method, not a foregone conclusion: pre-registered questions, sealed targets, independent scoring, and whatever the data says at the end. Nulls are not edited out — a clean "it didn't beat chance" is exactly the kind of result the series exists to show, because almost nothing in self-development is ever tested this openly.
It is built around the experiments already described elsewhere on this site — the three questions, the Schrödinger's Crystal Skull sealed-box trial, the telephone-telepathy runs, the focused-intention studies — filmed as they actually happen, with the controls visible.
The real reason
Underneath the format, the real reason I'm making this is simpler — an eternal search for the truth. I have no emotional attachment to the answer. I'm not committed to these things being real, and I'm not committed to debunking them either; I just want to know. A definitive yes would be remarkable. A definitive no would be just as valuable, because it would stop people pouring years into something that doesn't work.
Whether a truly definitive answer is even available is its own open question. As Richard Feynman put it, science can never call anything certain — but it can call things, probabilistically, almost certain. A result with a million-to-one chance of being a fluke is very good signal that something real is happening; a result stuck at 53% is not. So the honest aim is narrower and harder than "proof": find statistical anomalies that stay consistent over time, with enough power to rule out chance — and keep refining the method until the signal is either undeniable or gone. The design guards against self-deception, too: people are placed into groups whose logic they can't see, and stay oblivious to the kind of group they're in, so no one's results can be bent toward the answer we might have wanted.
An homage — a note from the founder
Mythbusters was one of my favourite programmes. I used to watch it with my son and, before the team had even finished setting up, tell him exactly how the experiment was going to go wrong and how I'd have run it instead. It needled him no end that I was usually right — but being right was never the point. What I loved, and have always loved, is the methodology: the discipline of framing a question cleanly enough that reality has to answer it, and then having the patience to let it. Mythbusters took that same delight and turned it loose on the world's tall tales — on camera, confirmed or busted in plain sight.
This film is my homage to that, in my own idiom: the same instinct turned on the inner world, where almost nothing has ever been tested this openly. I'm not asking anyone to believe me. We set the question up cleanly, run it in full view, and let the result — confirmed, busted, or somewhere honestly in between — speak for itself.
— Adrian Taffinder, founder of the Ashta Project
You can be in it
If you join a cluster, you can choose to be part of the film — or not. Appearing on camera is strictly opt-in and consent-based, with the same de-identification and privacy controls that govern the research data. You can take part in every experiment without ever appearing on screen; nobody is filmed who hasn't agreed, in writing, to be. Members who do opt in become part of the largest honest test of these questions we know how to run — and the filmed record of it.
Your results stay anonymous by default. Most participants take part entirely de-identified — your statistical results are folded into the aggregate and you are never named. Being followed as an individual is a separate, opt-in choice: a feedback mechanism lets you share your live feedback and your journey if you want to, on camera or in the data. The default is anonymity; appearing, and being tracked individually, is always yours to choose.
Where it's going
YouTube comes first — but as the enticer, not the finished article. What goes out on YouTube is snippets, teasers and behind-the-scenes cuts — enough to draw people in and build the audience and the open record. The full, finished episodes are professionally edited and saved for Netflix, the home we're aiming for; you won't watch the complete episodes on YouTube. YouTube is the engine that draws people in and earns the series its way onto a platform like Netflix in the first place. To be clear — there is no broadcast or commissioning agreement in place yet; that's the target we're building towards, not a deal we're announcing. Either way, the experiment is filmed and the transparent record published regardless of where it ultimately lands, because that record is the whole point.
Be part of it
This is more than a documentary: it's an attempt at the largest test of its kind ever run. We're asking everyone to join in — and everyone who takes part is part of that attempt. If we set the record, every person who participated is a world-record holder. You don't have to appear on camera or share anything to count: taking part in the experiment is taking part in the record.
Why create a documentary series
Because the result matters whichever way it falls, and a watching audience changes what you can get away with. On film you can't quietly drop the trials that didn't work, re-run until you like the number, or claim a mechanism you never measured. The camera keeps us honest in public — and lets everyone watching see the difference between a method and a marketing claim. See the world-record attempt for the scale we're building towards, or what we measure for the science underneath it.
And underneath all of it is an eternal search for truth — with no emotional attachment to which way the answer falls. A definitive answer would be good, if one even exists. So we don't chase certainty; we look for statistical anomalies that hold up over time. As Feynman put it, you can't call anything definite — but you can call things probabilistically almost definite: a million-to-one result is real signal; fifty-three per cent is just noise. The work is to find that signal and develop the method around it — including placing people into deliberately mixed groups, kept blind to which group they're in, so no one can bend the result toward the answer they were hoping for.
