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April 18, 2025 87 mins
FREE book, social medias & more: https://allmylinks.com/isaacw 

On today's episode of the Occult Symbolism and Pop Culture with Isaac Weishaupt podcast we're joined by the legendary UFO researcher Dr Jacques Vallée!! We’ll talk about a variety of subject that will look at the UFO Phenomenon through the lens of the Occult: the origins of the ARPANet/Internet and its goals for evolving humanity, Occult practices for manifesting UFOs, Jack Parsons sex magick rituals, Rosicrucian interests and friendship of Dr J. Allen Hynek, the power of the desert and the spiritual component of the Phenomenon with the Collins Elite and Satan!

I'll also be discussing the revelations that were being made during this interview on "Breaking Social Norms" podcast with Josie Weishaupt (BreakingSocialNorms.com)- we're going to unpack some possible subtexts like James Shelby Downard, Alchemy and J. Allen Hyneck's occult interests! COMING SOON- Subscribe to Breaking Social Norms podcast on your podcast app!

Dr Jacques Vallee links:
I've got several interviews related to Dr Jacques Vallée associates you've GOT to check out:
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Transcript

Episode Transcript

Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
The world is undergoing some massive changes on the spiritual and technological level.

(00:04):
So how can we make sense of it all?
Well today I've got a guest who's been an expert in these fields since the 1960s.
He's got one of the very first PhDs in artificial intelligence.
And he was studying Rosa Crucianism with Project Blue Book's very own Jay Allen Heineck.
Today we're joined by Dr. Jacques Vallet.
This show is going to be great.

(00:26):
We're going to talk about the origins of Arpanette, the internet.
These goals for evolving humanity into digital matrix.
I don't know.
We're going to find out.
We'll talk about the occult processes and practices for manifesting UFOs.
Jack Parsons, sex magic rituals, Rosa Crucian interests.
And Dr. Jacques Vallet's friendship with Dr. Jay Allen Heineck, the power and symbolism

(00:47):
of the desert and the spiritual component of the phenomenon, Colony's elite, Satan,
all kinds of stuff.
In fact, this is such a special interview.
I wore full-on sleeves with a button up shirt.
Oh, it's crazy.
And if you're listening to this podcast, let me tell you something.
The video version of my show has been high drama for many years.

(01:11):
As you know, I've been torched off of everything.
YouTube, VBO, everything you name it.
And my third YouTube channel got torched and I'm sort of resuming uploading to my second
one.
It's a tragedy.
It's a tragedy.
It's a tragedy.
I'm just going to say that I'm going to put it in a video version.
It's a tragedy.
I'm just going to put it in a video version.
I'm just going to put it in a video version.

(01:31):
And I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
But if you want to watch the video version, I host it to my Rumble channel, which is at a called symbolism.

(01:55):
You can find links for all my links all the time at allmylinks.com/isacw.
But you can find the video version of my show at Rumble completely because they don't censor,
which is great.
I'm also going to maintain my other YouTube channel and try to grow that one again.
I don't even remember the name of it to be honest, but it's on the allmylinks.com/isacw.
You can find links for all my links.
I'm going to put it in a video version.
I'm going to put it in a video version.

(02:16):
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.

(02:44):
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
I'm going to put it in a video version.
She can say, "Hey, pump the brakes.
What are you talking about?"
She can say, "Hey, pump the brakes.
What are you talking about?"
She can say, "Hey, pump the brakes.
What are you talking about?"

(03:05):
She can say, "Hey, pump the brakes.
What are you talking about?"
She can say, "Hey, pump the brakes.
What are you talking about?"
She can say, "Hey, pump the brakes.
What are you talking about?"
She can say, "Hey, pump the brakes.
What are you talking about?"
She can say, "Hey, pump the brakes.
What are you talking about?"
She can say, "Hey, pump the brakes.
What are you talking about?"
She can say, "Hey, pump the brakes.
What are you talking about?"
He's like one of those highly intelligent people, right?

(03:39):
I still got to firm up some of my research, but I think I found something that connects what
he's saying into the world of Jack Parsons and James Shelby Downard.
It's pretty crazy.
We'll see.
But anyways, I'm going to unpack it and I'm breaking social norms.
So make sure you subscribe to that podcast as well because that'll be in the next week.
So there you go.
All kinds of links.
I'll put in the show notes as well as I'm going to reference my interview with Paula Harris.

(04:05):
She wrote a book called Trinity with Dr. Jean Valet about the Trinity crash that happened in 1945 after the atomic bomb.
That was actually the first UFO crash that started the big flap of the 40s.
But I interviewed her a couple of years ago.
I'll put that link in the show notes as well as Professor Diana Pasalca interviewed her two different times for each of her books so you can check that out.

(04:26):
And I'll put a link to Dr. Jacques Valet's new book for Bid and Science 6 in the show notes with all kinds of stuff.
So you've got a lot of places you can go from here, okay?
So take a listen to the interview and I'll hit you on the outro.
Today we're joined by a very special guest that has shaped the world we live in more than anyone that I've interviewed.
There's two people in this world that I want to talk to because they understand how the world of the esoteric fits into spirituality and nonhuman entities, aka the phenomenon.

(04:56):
One of those people is here today with us.
So get ready to get your cat peeled back by Dr. Jacques Valet.
He was one of the pioneers in creating the internet with his work on Arpanet as well as being one of the first to create a hypothesis of UFOs being a non physical phenomenon which ties into the focus of my research with the occult and esoteric, which our guest knows a lot about as well.

(05:18):
Dr. Jacques Valet, he is a computer scientist, astronomer, venture capitalist, author of fiction and nonfiction, as well as a uofologist.
In fact, he's the godfather of all uofologists and he's here today to shed light on what's going on with the UFO phenomenon.
My plan is to create a mapping of questions at parallels.
Dr. Valet is perspective when it comes to technology using itself into our human evolution and how it may fit into a spirituality.

(05:44):
There's one man who understands how all the pieces fit together is today's very special guest.
So without further ado, welcome to the occult symbolism and pop culture podcast, Dr. Jacques Valet.
Thank you very much for inviting me and I look forward to your questions.
Yeah, this is a, you know, I got your latest book for Ben's Science 6 scattered castles, the journals of Jacques Valet 2010 to 2019.

(06:09):
And it's a fascinating read. I read this thing, antirknotes on it in two days, read it, cover to cover.
And it was fascinating because I've been following the phenomenon and all of the sort of revelations, misinformation, disinformation, whatever you want to call it, all of the elements coming to light about the phenomenon over the years.
And it's interesting to watch how you were working it behind the scenes with all the real players involved over those years.

(06:38):
And, you know, and thank you for sharing your personal diary. There was some real personal experiences in there like the loss of your wife and recurring dreams about her and your love of San Francisco, friends that have come and gone, you know, it's not all entirely just UFO talk, right.
But that's primarily what I want to talk to you about because it's such an important question and your guy who's been on the case for so many years.

(07:05):
And I want to tell you, Dr. Valet, you may not know this, but I've interviewed professor Diana Poussalka twice and Paula Harris.
So it's quite an honor to get some time with you. And I'd like to start out, if I may, back where it kind of all began with the ARP-a-net, the predecessor project to the internet.

(07:26):
And in Professor Poussalka's book encounters, she said years ago before the internet, Jacques Valet warned that the use of new technologies advertised as products would feed off human behavior.
And I also read your book, The Heart of the Internet, which, you know, discusses the ARP-a-net and how Stanford's AI lab was preparing the masses for what was described as a new world.

(07:54):
And the experiments saw, you know, in my perspective, AI and the ARP-a-net as a vision of a great equalizer to allow information, which is power, to everyone, not just the elites.
And in the book, my takeaway was that the ARP-a-net, the internet, was a bit of a social revolution. And I want to talk to you about, first, how the internet has evolved.

(08:22):
Is this meeting the original vision of what you worked on, or do you feel like things have been hijacked, maybe taken off course through things like social media?
And more importantly, what does the future look like with the internet? Will this play a role in evolving mankind into something else like a digital consciousness species?

(08:45):
So I actually became interested in science very, very early. I was, as a kid growing up, I was fascinated with, you know, very early robotics.
And, of course, astronomy built my first couple of telescopes, and so on. And when I was 15, I saw an object in the sky, you know, with two witnesses.

(09:20):
And that precipitated my interest in you, I thought. And that's really, you know, where I started. Many of my colleagues in science who have not had, you know, a personal experience are struggling now.

(09:43):
They realize there is something going on. You know, of course, a lot of it is on the internet, but it's also outside of the internet. And they have trouble reconciling it with what they know in science.
I came, I was precipitated into it by the sighting I had, which I sort of, I didn't forget it, but at the time there was nothing else that would fit.

(10:15):
And I realized the importance of it later, a few years later, when I worked at Paris Observatory. So I'm answering your question, but I'm going back to these early days, because at Paris Observatory, when I was first exposed to computers, I was exposed to computers.

(10:39):
And they had been interested in computers and took some of the earliest computing courses in France. We were talking about the early 60s, you know, 1962, 63.
You know, by that time I was at Paris Observatory, we were tracking artificial satellites, know the first satellites like ECO and those other constellations.

(11:10):
And we, of course, were computing the orbits as we were observing by night and computing the orbits by day. And that's the time when I realized that not only did I have that experience with other witnesses of seeing a UFO, but quite a few astronomers had, but they were not talking about it.

(11:39):
And quite a few scientists. And I started extending relationships that became very important later on, including a relationship with people in astrophysics in France, who knew Dr. Heineck.
So I started establishing a link with Dr. Heineck and became convinced that if I wanted to do serious work with computer science, I really had to come to the US.

(12:11):
And I was offered a position at the University of Texas that had, you know, the latest computers. And, but I was technically an astronomer.
At that point, that's when I really became interested in extending, you know, the more we, every time we try to do something in research at that point, it worked.

(12:48):
You know, how often does that happen, you know, in research? Everything worked. I mean, we started extending a network to get reports on the built catalog of European cases and South American cases.
And I confronted that with the files of the Air Force when I met with Dr. Heineck who had a complete record of the Air Force files.

(13:18):
You don't have the project group?
I'm classified, by the way, I mean, they're contrary to what everybody thinks and still says they were not classified.
And I had access to them, even though at that point I was not even an American citizen. And I built, I rebuilt the catalog of the Air Force files under a small Air Force contract that Dr. Heineck got through the University.

(13:48):
And then we started looking for patterns. And that's when things really blossomed because they, once you excluded all the errors and people are still saying today, you know, most of those cases can be explained.
That's true. That's always been true. We've always known that this is not news, guys, you know. This is not news.

(14:15):
And so back then that 80% of it was all, you know, honest people who had observed something they had never seen before, the satellite, the meteor, you know, a bow light, and reported it as something unusual.
And so it still happens today and 80% of that is explained. We're not talking about that. You know, we're talking about the 10% or 5% of it, which is really well-documented, complete, 12 witnesses, within an hour, we've interviewed all of them.

(14:57):
And that's the way it happened. We've gone there and we've got the stuff and we're taking the stuff to the lab. That's what we're talking about.
We're not talking about the rumors. We're not talking about vague, you know, lights on satellite pictures. You know, that's, that may be interesting later on if we need to go back to some specific cases.

(15:25):
That's not where the priority should be. Okay. And I think scientists now get it. Okay. The press doesn't get it. The media don't get it. They're still distracted, but anything that comes along. And that's, that's wrong.
So when, when I moved after several, you know, several positions in astronomy and so on. And I got my PhD in artificial intelligence in at North Western in 1967,

(16:05):
which is another area where the public is completely uninformed that, you know, AI didn't start last week. People in the 40s were thinking and writing about artificial intelligence because you needed AI behind robots.

(16:28):
And industry needed robots. And they were robots now coming in into car companies, you know, into GM. And those robots had to be driven by programs.
And those programs had to have some form of primitive intelligence. At the time, there were very few PhDs, you know, earned for AI. I think mine was number four.

(16:59):
And AI system that took English language questions about the nostrophysics catalog of all the bright stars in the sky and give you an answer, essentially an instant answer on fairly complex astrophysics questions.

(17:21):
That saved two days of an astronomer, you know, writing a program running the program, getting the answers and verifying the answers. The program could answer an English question instantly with the numerical data that you needed.
It would not engage you in conversation like Chad GPD and that kind of program. But you would think, but you would, would you say that Chad GPD is just the further evolved form of what you had been studying and working on back then, right?

(17:58):
So between what I did and Chad GPD, there were two generations, you know, they were two revolutions of AI, if you want.
But the first mine was one of the first systems demonstrating that could use, you could use English language. You didn't have to write a program to get a quantifiable answer in science.

(18:35):
There was only one program that was at Stanford University program called Dendro that deciphered complex situations for molecules and mindful was for astrophysics.
So that's where that particular generation, you know, started. After that in the 70s, and 80s, and 90s, artificial intelligence got into industry.

(19:05):
And that's why people didn't notice it because it's in their car, you know, the car changes the mix of, you know, of the fuel it uses based on the way the climate conditions are and so on.

(19:28):
It changes, certainly watches the direction and the stability of the car adjusted your seat will detect if you go, if you fall asleep will wake you up if you fall asleep.
So a modern car does that. Well, that was introduced in the 70s, 80s, 90s and so on. And now it's coming into, you know, the car you see at the corner.

(20:00):
But that generation of AI is under the hood and you can't open the hood anymore. If you're smart, you let the AI do the work. So the people don't have it.
And they've taken it for granted that the car reacted to road conditions and so on. And they don't really know how it happens. And that's fine.

(20:31):
The what's happening now is something that's in the face of the public answering questions in English and engaging in dialogue in English.
That of course opens up a whole different phase of our life with our environment with, you know, things we buy, things we see on TV, things we, we get for our kids.

(21:05):
And also, of course, in medicine, you know, if you, if your doctor tells you that you have a certain condition, you can, you can go to judge, you can find out a lot of things about what, what is the current state of the art, the current state of medicine about that particular condition and why your doctor is recommending a certain treatment rather than another.

(21:32):
So those are the things that impinge our life on our life day to day now.
And that's different. It's going to take a life for us to absorb the good things it does and the bad things it does.

(21:55):
It does many good things. So if I was going to rewrite a book about computing, which I'm thinking of, you know, updating the book you mentioned, the older book about the history of the internet.
And, you know, I work with the internet on machine number four on the internet, Stanford Research Institute. So I've seen the ups and downs and the projects that failed and the projects that succeeded and transition to the internet from the old art.

(22:38):
Again, that's a history that people don't know. And it's always useful to go back. But I think people want to know what happens next.
They don't really care about the history. And there are even people who claim that, you know, the UFOs give us the opinette.

(23:01):
And that I can testify, you know, that's not true. I was, I saw the first machines and we had enough trouble programming them.
I can tell you that was real work. This has didn't come out of the sky. You know, already to ready to go.
Well, it's interesting. Since you brought it up in, in, for Ben, science six, your new book, I, I read a part where you were talking about.

(23:30):
And I don't want to, I don't want to go too deep in the weeds. I've got an electronic engineering background. So I don't want to get too technical for the audience. Really.
But you, you mentioned this idea about associative computing, where a computer language will use this association sort of, you know, technique.

(23:52):
And when I'm reading that, I'm thinking of how this fits into the phenomenon. Right. And I'm thinking, does this fit into.
Is this saying that there's this simulation theory we're living in a computer? Is that saying that that is kind of similar to the idea behind the phenomenon where.

(24:15):
And I don't really know how to ask this, but my, my thoughts about the phenomenon are.
Is this weird sort of, they call it hyperstition in some fields, but there's this weird idea that our minds sort of like a law of attraction or occult ritual magic.
Our minds can in a way manifest or create.

(24:39):
And this phenomenon or, you know, visions and sightings of things and orbs. Do you think that there's some kind of simulation theory that we're living in a computer of sorts that would facilitate such a thing or is that like way out there in science fiction land for you.
There are two things there. One is that we can have the impression that we're creating.

(25:09):
We're pushing the phenomenon into displaying new things that, you know, recently, you know, people have been describing something that's different from the typical flying saucers of the 50s and 60s.
So it changes. The question is, is it our perception of it that gets refined, you know, that gets better?

(25:37):
Excuse me.
Or is the phenomenon really changing in response to our perception of it? Is there a feedback loop?
The other question is, you know, a question. I've started to ask myself am I am writing these books to be read by an AI later on.

(26:04):
People in England who are using my books to as a sort of as a prototype for an AI discussion into the phenomenon.
And at some point I wonder what the future evolved version of Chad GPD would do with the series of forbidden science, which is now six values.

(26:36):
And that maybe I'm writing these books to feed the future AI system. That would go through the entire length of it.
There are many, many, many details throughout this and I know where else.
And that's an interesting thought, you know, is a if there is an independent form of AI that starts developing out of everything we're doing.

(27:13):
The first thing is going to be interested in is our confrontation with UFOs, and psychology in general and so on because that will be at the at the limit of what it's perceiving.
So it will want to know that. I think an advanced AI and I think there is a lot of science fiction that relates to that, but it's not specific.

(27:42):
It's not clearly stated in science fiction, except in very few novels.
And wouldn't an AI system developed by humans.
What would it be really interested in knowing once it knows everything we know, which, you know, we're getting close to that.

(28:12):
What is next for it? It will look at the mysteries. It will look at what we don't know.
So that's why, of course, scientists are interested because we can guide it.
You know, a perfect example is medicine.
There are so many things where we have the data in medicine, but we don't understand what it means.

(28:36):
We have the data because we do our corpses on people who die.
And but we don't we still don't understand what we could have done to keep them alive.
An AI system is the ideal companion to a doctor doing research.
As you may know, I've actually invested in companies that that worked in that area.

(29:03):
But, and of course, Dr. Nolan, you know, we're working closely together in Dr. Nolan is a pioneer in this.
But beyond that, what would a very evolved AI do with, with the UFO story, if you will, and UFO catalogs?

(29:27):
Well, it would ask questions that would be very different from what scientists are asking now.
It would ask, you know, tell me again, when did that start?
Tell me why you think that it has anything to do with outer space?

(29:53):
I mean, that seems an obvious to us because we, the most exciting thing in science today is space exploration,
with it is big rockets going up.
Well, you know, big rockets were invented by the Chinese 4,000 years before Christ.

(30:16):
So this is not new science. The new science is in the computer that controls the rocket.
So it keeps going instead of crashing.
That's where the science is, is in the stability of the thing and how big you can make it.
But that's a statement of failure from the point of view of physics.

(30:42):
It's a statement of failure. It's beautiful to see a rocket go up in the sky.
But it means that we have to use all this propellant, you know, essentially a big fuse to get out of the atmosphere, which is, you know, which is not very good.

(31:03):
It's not very good science.
Good science would say, let's understand gravity and then let's control gravity so we can gracefully go out into space whenever we want.
You know, we're not producing the atmosphere and making a lot of fire and and and and and and smoke.

(31:25):
Right. Well, well, doctor, doctor Valais since you brought it up, you're listening to the free feed of a called symbolism and pop culture, which means you're missing out.
Help the show out, get rewarded with bonuses, join any of my three supporter feeds, you'll get the ad free experience early access.
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(31:50):
The easiest one is Apple Premium, where you sign up on the app.
The cheapest one is my own, illuminatiwatcher.com VIP section.
Compare the three platforms at illuminatiwatcher.com, hit the VIP tab up top links are always in the show notes.
Yeah.
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(32:11):
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(32:33):
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(33:02):
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(33:25):
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(33:48):
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You know, my my field of research is on the occult, right, which means that which is hidden as you surely know.

(34:13):
And this was a cold, you know, 20 years ago.
Absolutely.
You know where I'm going with it for sure.
And in your book, I was I was surprised to see many of the names I find in my research.
I was surprised to see a lot of the names I found in my research.

(34:34):
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.

(34:55):
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.

(35:16):
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.

(35:37):
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.

(35:59):
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.

(36:20):
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.

(36:41):
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
I was surprised to see a lot of the names I found in my research.
You know, you're drawing from a lot of fascinating sources here. I used to work with at

(37:05):
the Institute for the Future, with a man who had been Vice President at SRI and was
known as one of leading futurists in the US. He said, "If you want to look forward
ten years, which of course we were doing for companies like IBM and AT&T and so on,

(37:30):
trying to build scenarios of how science might evolve and how engineering might change.
You have to look 50 years, five times, the time you want to look forward. So if you
want to look forward ten years under contract with IBM, you have to look at the

(37:54):
last 50 years of the industry to learn the lessons because there were many lessons
that were learned and then forgotten because computers bypassed certain things. For example,
you could use, you could have computers that don't use electricity."

(38:16):
The Navy has looked at this. Of course, in the Army has looked at this because there
are some environments where you need to do computations but you're close to explosives.
And if you use electricity, they could be a spark and if there is a spark, then the experiment

(38:37):
is over. So you can build computers in many different ways. In fact, computing is now going
back to look at other ways of doing things, including of course the quantum computers.
So those ideas have been there a long time ago. The patent people say the flying saucers

(39:05):
brought us a transistor. Well, I've met some of the people who were closely with the
inventors of the transistor. I didn't have the privilege to meet the three Nobel prizes
who developed the industrial transistor. But when you look at the history, it was pretty

(39:29):
clear that they invented it but they were actually reinventing it because the transistor
is a German patent from the 1930s, 1930s. What could you do with it? I mean, electronics
wasn't invented then. And electronics was just in, you know, in, in, in, in, in justation.

(39:58):
And so the, you know, the, the, the, the, the labs and the, the other ways of dealing with
electric currents came, came in, in the, you know, in the thirties and forties and so on.
They worked fine. You didn't need transistors, you know, at that point. Nobody thought about
it. But the, the, the principle had been discovered before, you know, it didn't come out

(40:23):
of the flying saucer period, okay? People should know that. That's, that science works like,
you know, the, the occult. There are things that are known that we called occult simply
because we're in some obscure book from, you know, a long time ago that, you know, we, we

(40:46):
should, we should read again from time to time. Certainly astronomers do that because we
discover things now. You know, we, we see something bright in the sky one night. That wasn't
there before. Well, you, you may have to go back to Kepler, you know, to know. It may be one

(41:11):
of those variable stars that is, you know, is, is getting very bright again that hasn't
been bright for a hundred years or two hundred years, okay? So you, all this, we, we need to keep
reasonably current. And, but, you know, it looks weird so people call it occult. There is

(41:36):
nothing occult, okay? It's just things that are occult because we don't, we're not smart
enough to think of them. And so when we bump into them, we say, oh, it was one of those things
that was hidden. If you, if you go back, you, you find that there was already knowledge of

(41:58):
that. And of course, in the right after the war, and I think we're really doing this service
to history, especially to the history of, you know, of philosophy and the history of this
country of the US, when we, we push things under the rug, you know, take Scientology, you know,

(42:23):
Jack Parsons was close to, of course, all those movements at the beginning in the 40s, right
after the war. There was an explosion of intellectual, intellectual power and intellectual research
everywhere, but especially around Los Angeles with aircraft, with rockets. When people saw

(42:52):
what the Germans had done, you know, with the V1 and the V2, which we had captured. And we
also had the scientists. So there was, a lot was discovered about where were the real frontiers
of physics, physics and chemistry and what, what, what were the questions we should ask.

(43:16):
But of course, that's where computers came on, out of intelligence research in Great Britain,
you know, out of the, the deciphering engines that the, the English scientists had built.
They talked about secrets, you know, that in part is what one, well, well two, along with

(43:41):
other things. But if, if you're going to launch an invasion, you better make sure a few things
are secret. And the, what, what was known about the reaction to the invasion came through
the first thing that would qualify today as a, as a logical machine as a computer. And so

(44:07):
there is a transition there, you know, Scientology at the beginning, people are accusing Scientology
of a lot of things. And it's over the years, as soon as it was successful, it was successful
because it was looking into real scientific problems and into real human capabilities. And

(44:35):
it went off the rails at some point because it accumulated power and power will always kill
science. And that's what happened to Scientology in, in, in my view. But the, the ideas at the
beginning were not bad ideas. They were ideas that were reframed in other, in other forms.

(44:59):
The, the ideas of alchemy, the idea of the golem, you know, the idea of the automaton that can
behave and can, you know, the idea of Franklin's time, you know, I mean those were seminal concepts

(45:20):
that from which we can use, I mean, we're not going to build Frankenstein. But the, you know,
I mean, I've, in my career as an investor, I've invested in quite a few things that were
doing that with grafting organs, including, you know, some pretty vital organs in the, in the body

(45:45):
that were extraordinary, extraordinary science. And if, in the 50s, if you had told anybody that you
could do that, they would have said, you're, you're just, you, you read too many awkward stories.
Right. Yes. We, you know, we can do that. And the, and we can do it with robots. Then we can do it

(46:11):
with AI. One of the companies I'm most proud of having funded at the very beginning and funded
all the way along is, is a company that does essentially operations within the body, including
the brain, inoperable tumors taken out by radiation, but not by ionizing radiation. But with, with,

(46:38):
hard x-rays that are not ionizing, and that within the brain, and within the lungs, and within other
organs in the body. This is done commonly now. We funded the company 25 years ago. Right. It was just,

(47:01):
there were only three copies of the machine in the leading hospitals in the world. And that took a
long time, but, you know, the, the company succeeded. And now there are, those machines are everywhere.
And they are essentially driven by AI. So that the patient, for example, can, can move a little bit

(47:31):
and the robot will adjust the rays according to the patient. So the patient doesn't need to be hospitalized.
The patient doesn't need to have a steel helmet screwed into his skull for the precision of the beams.
Because the beams are driven by AI, which adapts to small movements of the head. How do you do that?

(47:59):
I don't know. How do you do that? This is, again, science of 20 years, 25 years ago.
And somebody had to make the decision to finance that company with real money when it had never been
done before. Okay. That's what, I mean, that's what St. John Valley is all about. That's what venture

(48:28):
capital is all about. That's what venture capital should do. And that's AI. You know, that's
the most noble form of AI. Yeah. Yeah. And I guess that's like part of the life and death. Okay.

(48:51):
So I've lived through that. Many of those ideas come back from things that people were thinking about in the 40s and 50s.
It manifested in the very early science fiction around Los Angeles, you know, which, and it also came out

(49:15):
of places like the groups where Jack Parsons was, you know, groups that some of the people who were
interested in Scientology, you know, went on to careers in science. And then they, I was, when I was
still, you know, a young student, I was interested in the Rosic Russians. And I still value, I'm not a member

(49:45):
of anything. But one of the topics of discussion I had with Dr. Heineck was, was about the Rosic Russians
because he had studied, and I have all his Rosic Russian books, you know, he was a Rosic Russian
by philosophy. He had studied the Rosic Russians with a different, different

(50:11):
current in the Rosic Russians, that he had left also, realizing that, you know, the truth is not on this
plane. The truth you're looking for is on a different plane. Was that, was that the result of project
Blue Book that he studied all these cases? I asked him, you know, why did you get into

(50:35):
astronomy in the first place? And why, you know, when you work with astronomers, you have long
conversations at night watching the telescope and watching the instruments. Okay, you have time to talk.
And you talk about, you know, what the telescope is doing, but you also talk about how did you

(50:57):
decide to do this? Because it's hard, you know, it takes a lot of dedication and study. And he said that
he came into science culturally to many of his colleagues, not for the power of science, but to know
what the frontier was, you know, the things that were unknown, not to learn the things that were

(51:23):
known and get paid to do the same thing again, you know, like most science is repeating things that
have been done before, only adapting it to new conditions. No. The breakthrough science is the
stuff that they didn't teach. The stuff you never studied at the university. And it comes out and hits

(51:47):
you as a scientist. So you have to look at what you know, what you've learned, you know, what's your
equipment intellectually and what tools you have. And then you have to invent new tools. And that's
that's why I'm captivated by, you know, what Dr. Nolan is doing because he's been creating one,

(52:10):
you know, breakthrough instrumentation method after another and those have gone into laboratories and
into hospitals through the machines that is helped develop. And that's that's a true science. That's
when you want to be. And Dr. Heinrich said, you know, I've always been interested in astronomy because

(52:38):
of the things we did not know about astronomy. And of course, at the time when he did that, it was
you know, valuable stars, multiple stars, multiple stars, the gravity, you know, frontiers and all
of that, his PhD was about that, okay, at the Arcus Observatory. And then at, you know, Ohio. And

(53:06):
then close to Ohio, there was a very big Air Force Base that had the UFO Fives. And they looked for
an astronomer who was nearby and they came to him. Now he said, you know, I frankly, I'm not the
greatest astronomer in the United States. You know, there are Nobel Prizes in astronomy. They are

(53:32):
great physicists. There were a number of great people there for us could have gone through. Why did
they come to me? And he wondered if they are false knew about his occult stories, you know, his
occult interests. Through the Rosic Russians, his interest in alchemy, you know, his interest in

(53:59):
of course, in the stars. And they, that he suspected that may have been part of why he was
hired to work on Project Sign, not Project Blue Book. Okay. I have his book of Project Sign with his

(54:20):
marginal notes, you know. And that book is pretty unique because all the Project Sign documents have
been destroyed. The project was classified. And I have, you know, one of the very, very few remaining

(54:42):
copies with Dr. Hainek Sanotations, you know, on every page. Wow, that's incredible. Those are the
things I want to preserve because I feel it's my responsibility to preserve it. But those go back
to the throes. Yeah. Do you think Project Sign was the most genuine effort because it went from

(55:06):
Project Sign to I believe Project Grudge and then Project Blue Book. But Grudge and Blue Book were,
you know, there were some dis, like disinformation happening with those. You think, you think Sign was
a little legitimate study? Really was the result of another secret meeting. Okay. Which was organized
by the CIA, not by the Air Force. It was, you know, the Air Force put their name on the cover.

(55:34):
But it was a CIA effort. And to, because the CIA was taking UFOs seriously already at the time,
1954, but tell me more, your institute had done a seminal study, the first one using computing

(55:57):
and statistics and mainly based on sorting machines, which was report 14, which initially was
classified and was declassified later. And they wanted to split the research into two directions.

(56:19):
One that would be just to watch on what people were observing. So it was public. It was
not classified. That was Project Blue Book. There were a few, there are a few classified
sightings in Blue Book, but they were classified because of the instrument

(56:41):
through which an anomaly was detected. It wasn't classified because of the UFO.
And there is one case of us in the fires of somebody observing a light over Alaska at dusk.

(57:08):
But through the ground was dark, but the sky was still, you know, in the sun. And there was an
object that seemed to be flying that was going west. Nothing goes west from Alaska. I mean, you don't

(57:28):
because west of it is a Soviet Union. Come shot cap in insular and a Soviet Union and so on.
And this woman saw this and reported it to the Air Force because she thought it was unusual.
And the Air Force knew exactly what it was. It was one of the early U2s. U2s were classified.

(57:52):
So that case, even though the Air Force knew absolutely knew what it was, the case is still carried
in the fires as an identify. And that's a trap, you know, when people take all these cases and they
say we're going to do put this on in AI, you're going to put these cases in AI without knowing the real

(58:17):
story. And if you haven't studied the fires, you think it's a bona fide observation of a real
honest goodness UFO that the Air Force actually investigated and decided was an identified over Alaska.
Going towards the corrupt up in insular, okay, when the Air Force knew exactly what it was. So again,

(58:45):
you know, AI is fine, but you should not ask tragedy to solve, you know, the nature of a phenomenon
that is, you know, 97% explainable by normal conditions. I mean, the AI is going to spin its wheels

(59:14):
forever dealing with the 97% of the data, which I can tell you already is perfectly normal every day
happenings. But it's that last thing, it's telling you about them. When you go back and you talk to the

(59:37):
people and you look at where they were and where they were looking at and you have the weather conditions
and you have everything else, which we do have, but nobody has really put it together. And with Mr.
Bigger, we try to put this together in a five year program and we work out of after two years.
And we never knew why we were cut off. And, you know, I was the guy in charge of the, you know,

(01:00:08):
the initial classification and coding for the system. And that's certainly one of the mysteries
that have been left by, you know, our generation is why was this cut off and where they did go.

(01:00:29):
So we're in a world that's full of mysteries. And I think Jacques Parsons and others
were in an extraordinary world. And I go back to that world, you know, at the beginning of this
with the case in Lancaster that it's funny. I haven't been asked a question about that,

(01:00:59):
you know, there were all these things going on in the desert that my witness is so,
that I went there several times and they told me it's somebody else, it's in it. So I went to see
the other guy and I described all that in the first 20 pages of the book. People ask me the

(01:01:22):
conventional questions. I mean, you're the first one who is really asking about where does this come
from. How does it tie into what people have called our cult or, you know, is a theory knowledge.
I'm telling you there is a sort of a knowledge all over the place. And there are also things that

(01:01:43):
are known in areas that we're just not looking at, which are blind. But we're blind because we're,
you know, limited in our ability to ask questions. Right. Intrination of AI is not going to be limited.

(01:02:04):
Then it's going to ask some very embarrassing questions. Like what about cattle mutilations? What was that
about? Yeah. You know, we've done, thanks to Mr. Biggerl, not just under bars. We didn't do a lot of
it under bars, but under the previous program and the NIDS, which went on for over 10 years,

(01:02:28):
we did a lot of work on cattle mutilations. And I had looked at cases before that are in some of the
early movies, you know, some of the early reports that were, are still, we can still get them on the
internet about cases of cattle mutilations where I got the word out to veterinarians. This was

(01:02:56):
before Mr. Biggerl got engaged in that. He was already doing his own research, but my research was
independent at the time. Now I was working with a few doctors who were very intrigued with that
because the cattle mutilations don't make any sense medically. And they don't make any sense in terms of

(01:03:18):
you know, the veterinarian medicine in terms of working with the animals either in the range or
in on cattle ranges. So I got to learn a lot with the, you know, talking with the vets and in the field

(01:03:40):
near the carcass of mutilated animal. And the doctors I was working with told me what organs to
select. So for the in several cases, I was, I had the word soon enough that I could get the word

(01:04:03):
to the vet or I could actually go there and telling the vet what organs to select, you know, and
put them under ice and give them to me or send it to a particular lab. And we did that. This was before

(01:04:25):
Mr. Biggerl got engaged before the before nil season. What we got, we never figured out
the results. We never figured out, well, we figured out the results because there are many
who are spent doing the analysis. But we never understood why somebody would want to do that.

(01:04:45):
And it's not again, then you go back to the occult people sacrificing animals.
Well, those were not sacrifices. Some of the work was extraordinarily precise work.
It wasn't a bunch of kids, you know, cutting off an ear from, you know, or killing, you know, killing an

(01:05:12):
animal. It wasn't sacrifices like, you know, killing a goat for invoking some demon or something
like this. If you want to go back to, you know, Alistair Crowley and Jack Balson, so this was precision

(01:05:34):
surgery. And I spoke to a two of a Teranalyan in Arkansas. And I showed him the result of the analysis
that had been done by my friends that meant that the organ had to be removed by going surgically

(01:06:01):
inside the body and cutting ligaments. You had to know precisely where the ligaments were
inside the body of the animal. You know, this was a cow to remove, in this case, remove the uterus
and the entire organ as a whole from cutting inside. And he said, Dr. Valet, let me tell you something,

(01:06:29):
this was not done by a veterinarian. This is not something I've been trained to do.
This was done by a surgeon and not by a vet. Wow. And for him to admit that, you know, to me,
we were at the police station, the police had done the investigation. The police

(01:06:49):
definitely wanted to know who was doing this because they were the ones that the farmers were calling.
There is a belief that all those animal are insured. Well, they're not insured for this kind of thing.
They are not insured for cattle mutilation. So the farmers were impacted financially by those things.

(01:07:14):
And they were mad. And they were calling the sheriff. And the sheriff was calling the vet.
And the vet didn't have an answer because the answer, there was no answer in science.
So we've continued to, under nids, we continue to do this, you know, with an expert,

(01:07:34):
the veterinarian, who had written books for the veterinarians and published those books. And,
you know, fortunately, we had a jet at our disposal. So he could, I didn't go there, but the veterinarian
and the team could get there within hours of an alert, you know, from the vet somewhere in Montana.

(01:07:57):
You know, he could be there in a couple of hours. And he could see the animal in the field.
We still didn't get an answer. No, why not? I mean, what's going on?
Yes. And it could be done by humans, by why? You know, what's the branch of the,

(01:08:20):
you know, what branch of some secret service needs to do this?
Right. Right. Right. Right. Why not do it in the range where animals are roaming freely?
Why do it on the property? How about it? You know, they, where the, the dog, the guard dog is going to

(01:08:41):
scratch the door to get into the house. You know, a cattle dog. Oh, okay. Right. Right. Yeah.
Okay. So those, those are the things I've had to learn all the way along.
It's taken me away from computer science. I can get it. I can tell you. Right. Right.
It's, it's, it's put me in touch with some very interesting doctors.

(01:09:05):
And some very interesting science that was still, you know, we still don't have the answer.
So you, of course, you know, the lights in the sky, that's not the only thing that's going on.
There's a lot going on out there that we don't understand. And, and that is, uh, because I know I told

(01:09:26):
you I get you out of here in an hour and we're already there. And, but I want to squeeze one last
question. And then you can respond as short or as long as you like, because I've been dying to know
this since I read Professor Donna Pousalca's encounter's book. There's a scene where she is in your
library. And you say to her, you're like, Hey, I highly recommend you find this book and read it.

(01:09:54):
And the book in question was a book titled Satan. And it was written. It's a book that is titled
Satan. And it was written by Carmelite nuns. Um, I believe in the book she says it was from the 1800s.
Do you remember this scene? Do you remember this book at all? Is that something I need to track down?

(01:10:17):
Because it's it's the reason I bring it up is because in, in, in for bin science six, you talk about
the Collins elite several times, which is an interesting subject because it to me it pertains to this idea
because as, as you already know, but for the audience, there's this idea that there was this

(01:10:39):
inner group embedded with the government, the CIA, whatever, since the 40s that has believed
everything related to the phenomenon is satanic. And that we shouldn't really study it because
people like Jack Parsons were summoning demons and this that and the other.

(01:10:59):
You know, so, so my question, I guess another version of the question, have you ever confirmed
the existence of the Collins elite? Or do you think that there is a sort of, obviously there's
like supernatural elements, but it could it be to a Christian worldview of, of the devil? Is that

(01:11:24):
somewhere in the ballpark of how the phenomenon works? Well, we've we've discussed this many times.
Of course, it's a topic that keeps coming up. It certainly comes up in, you know,
people who look at at the future to what extent can you. There are things we can extrapolate

(01:11:55):
into, even with technology, things we can extrapolate into the next few years, but I don't think
you would find anybody in Silicon Valley who would put his name to a prediction about what
computers would look like in 10 years. Five years, yeah, quantum things. But even there, you know,

(01:12:28):
there are discoveries or there are patents that all of a sudden are published that nobody had seen
coming, you know, in that field. So it gets reframed, but but at least we can read the patent and
we understand that. Something, if you gave me a patent from 10 years from now, I probably would not

(01:12:52):
have the vocabulary to understand what it's talking about. You know, that's so much for in medicine.
You know, I try to read some of the papers by Gary, you know, by Gary Nolan.
And the words are not in any dictionary that I know. Okay.

(01:13:17):
So he'll explain it to me in the lab that the frontier of the knowledge is moving very fast.
And, you know, if you talk to people like Gary, they'll tell you that, yes, a genome is a wonderful

(01:13:39):
thing. And there are a lot of things we know in St. Albert, the genome, but that's not the biggest
mystery. The biggest mystery that everybody is puzzled with is going to be in the proteomics and
in the, something that will be even more complex to decipher than the genome that, you know,

(01:14:04):
you almost want to fall on your knees and, you know, admire before you touch it.
Because it's just so complex. You know, things that, you know, affect the human body directly,

(01:14:27):
but there is no gene that controls it. It's genes together forming sort of a logical machine
to make heaven effect that will create a condition. Okay. And that's as if the genome was sort of a

(01:14:48):
base for reprogramming nature in certain ways at a different level. And here I should stop because
I'm way out of, you know, what I know. But this is where the frontier is moving, you know,
and looking at the very complex logical structures. And I've encountered that in some of the companies

(01:15:12):
that, you know, and when you go into the company, you go into the lab as a potential investor,
and they need the money. Because they need the money, they are going to tell me the truth about what
they are doing. And the truth about what they are doing is that they are working on things that

(01:15:33):
where the knowledge hasn't been published yet. I mean, there is knowledge already in the lab,
and in the labs of, you know, their bodies in some other company. And they talk about it,
company to company. But they don't understand what it means. And if they understand what it means,
it's going to be a revolution someday. And you have to believe that it's going to be a revolution

(01:15:58):
before you write the check. Okay, so the question is, you know, tell me again, you know, what it's going to do.
And how we, what we're going to have to do to get that knowledge. And that's what has fascinated me,
you know, I'm at, obviously, at the end of my career in venture capital. But the reason I can ask

(01:16:25):
those questions is that I've asked those questions systematically about UFOs and about other things.
And the people I talk to know that. And I think that's why we can get into those kinds of discussions.
And the intelligence community, you know, as wonderful as its methods are, you know, the secret

(01:16:54):
methods and everything else that they talk about. It doesn't go far enough.
You know, you have to look before they can classify something. It's in a lab somewhere, you know.
And that's where the cutting edge really is. And in many cases, if the method gets classified,

(01:17:20):
it's going to be subterranean for 20 years before, before it re-emerges in a product we can buy.
Because it's been classified all the way along. So when you talk about gravity research,
when you talk about all those things, it's in the dark area. And that doesn't mean that we can't

(01:17:47):
go there. And it doesn't mean that that book you mentioned in the 1800s could have
it could be talking about an experiment that somebody did, you know, in Chico-Slovecia,
you know, in Prague or in some place in Europe or in China, where somebody happened to observe

(01:18:12):
something and that we've forgotten. And somebody was thinking about the stars, or was thinking about
the body in a way that was unconventional. So we've brushed it aside, but maybe he had an insight.

(01:18:40):
In, you know, in we wrote a book about ancient cases of observations. There is an observation from an
astronomer in the 18th century who saw a tic-tac. He was an astronomer in Prague. He had an observatory,

(01:19:03):
you know, on the top of his roof. And he was observing and he saw something go up
from the ground. And it was an he described it. I mean, he didn't describe it as a tic-tac.
And he described it as an all-of-all sort of cylindrical thing. It was white, it was luminous.

(01:19:24):
Of course, in those days there was no electricity. So the sky over a big city was black,
you know, in my opinion. So you could see the stars, you could see everything. You could clearly see
this. And he drew it. And we have the engraving. And I've published the engraving,
okay, in my book. I got permission from the museum to publish it. And he published the evolution

(01:19:57):
of it. How it went up in the sky. He drew it. And he did a very nice drawing with the city at night.
And where he was with his observatory. Well, you know, this is just as valid as something we get from,
you know, from the space shuttle. It's a population. And in the 18th century, they had good telescopes,

(01:20:22):
you know. And the thing was close. It was over the city.
Well, I think we need to be able to go back to those days. And it feels what to restart. When we
have a branch of a branch of modern science that gets stuck, how do we restart it? Well, we have

(01:20:46):
to go back to where we were before. What did we miss? What did I start? Forget. You know, if we,
we're not going to fuse general relativity with quantum mechanics by pushing quantum mechanics
and by pushing relativity. We have to go back to the trunk of the tree. You know, where did we come

(01:21:13):
from? Where were we when Einstein was a young student? What did he miss? Because he must have missed
something at that point. That is a new science that's where general relativity and quantum mechanics
are one thing. That's what it's in the past. It's not in the future. We have to go back. Where did we

(01:21:39):
branch off on the wrong branch of the tree? Well, let's go back to the trunk. And that's what, of
course, that's we call that the satiric and occult and all that. It's not occult. It's not
a satiric. It's just science we forgot. Right on. Yeah, that's a, that's a, that's a beautiful

(01:21:59):
conclusion to come full circle to the beginning of the conversation. And I'm looking at the time.
I told you I'd get you out of here. So I'm going to let you get back to your day. Thank you so
much for your lifetime of work in this area. Thank you for writing this book.
Everyone needs to get it. I would be super honored. You got so much. I've got just countless questions

(01:22:22):
beyond these. So, but thank you for your time. I appreciate it so much. My pleasure.
Now that was a lot. That was a lot being said there. And like I mentioned, I'm going to unpack it
on breaking social norms with my beautiful, normy wife, Josie. So be sure to subscribe over there.
And I really want to get Dr. Jacques Valle back on because there's several questions I still have

(01:22:46):
particularly. I wanted to dive deeper into in for Ben, Science, 60 references Peter Leventus
several times and wanted to get there which didn't have enough time. So again, your call is the
action. You can check out the links in the show notes for more with my interview with Paula Harris,
Diana professor and I have Pasalca number one and number two. I did two interviews with her.

(01:23:08):
And the link where you can figure out Dr. Jacques Valle's book for Ben, Science, 6.
And if you're on the if you're on the supporter feeds, I don't really have a way of dropping those
links. You just have to sort of scroll back to when I did those interviews. Anyway, but yeah,
the book is great. The For Ben, Science, Sixth is great. I banged it out two days. That's including

(01:23:29):
taking notes. I've got so many more questions for Dr. Jacques Valle about it. I'm going to unpack and
discuss some of those questions I didn't get to ask on bringing social norms and linking the
show notes for that as well. I'll subscribe there. Okay. Alright. Whew. It was a lot today. So thanks for
listening. I've got some stuff I'm working on in the lab here. I'm working on the heretic film analysis.

(01:23:49):
That one's proving to be a massive analysis. I'm hoping to get that out sooner than later. And I've
got a couple other sticks in the fire. Also quick plug for my sub stack. I released a what do you call it?
An article on Lady Gaga's Coachella performance. If you haven't checked that out, I'm on sub stack
as a lumineny watcher. But again, fine links to all my stuff at allmylinks.com/isgw. Okay. Alright.

(01:24:14):
Thanks for listening. Stay positive.
I'm your host Isaac Wysehub. And while we're taking a little break from the show, I'm going to take
you down Grifter Alley. The amount of censorship that I've battled over the years is unbelievable.
I started blogging and writing books in 2011 and I started podcasting and creative video content in 2014.

(01:24:35):
My channels constantly get shut down. I've had Amazon reject books that I've written and the
saga just keeps going. Instead of folding up the whole project, I've had to rebuild and rebrand
multiple times for reasons I have yet to understand. You can check out the full story at
luminenywatcher.com. Hit the start here tab on the menu. So that leads me to you. I need you to

(01:24:56):
support the show because the power controllers apparently have a problem with us. The best way to
do that is by becoming a member on one of my supporter feeds where you'll get ad free versions of
the show early access and hundreds of monthly bonus episodes that the free feed losers will never
get to here. The platform I recommend is patreon.com/illuminenywatcher because you'll get all those

(01:25:17):
goods and I will send you my two most popular books for free, The Dark Path and Kubrick's Code.
All for less than a cup of coffee a month. Another reason I like patreon is the community comment
sections because there are over a thousand members and sometimes the comment section gets real
lively. App compatibility with Spotify and Apple and much more. It makes it a no-brainer. I can also

(01:25:40):
provide an option to watch videos ad free at tier two annual discounts and a whole lot more.
Check it all out at patreon.com/illuminenywatcher. Now the easiest platform is Apple podcast premium.
If you listen to this show on Apple podcast just mash the button you're in. You unlock all the
bonus episodes, the early access, the ad free experience, all that. The cheaper alternative to

(01:26:04):
patreon is one that I created. You get the same perks that you get to patreon on the free books and
all that. It's the VIP section. You can check that out at alluminenywatcher.com. Click the VIP
menu tab up top. You can read the details. You'll have to copy and paste an RSS code into a compatible
app of your choice. The VIP section, it doesn't work with every single app, but there's a list of

(01:26:26):
the popular ones that it works with like Apple podcast, Cast Box, Overcast, Pocket Cast and much more.
Again, check out alluminenywatcher.com. Hit the VIP menu tab and you can compare all three of these
supporter options because lots of people think I should be doing this for free which is very admirable,
but it takes an incredible amount of time recording, hosting content and getting software

(01:26:48):
equipment. I got to read whole books sometimes, taking notes on everything that I consume.
It's literally a full-time job for me to juggle with a day job, a home life and a family.
And I'm a one-man army which is great because I actually don't answer to anybody, but you.
All right? That means you can trust that I'm giving you my take and not some political hack job angle

(01:27:14):
or corporate slave master, shelling or any other kind of nefarious purposes, but that requires you
to support the show if you are in the position to. If this is the last five bucks of the month that you
have, I don't want it. I want you to prioritize your health, your family, your relationships. That
needs to be priority number one. But if you got it, you want to give me a cup of coffee? Let's go.
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