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Nov. 21, 2023 - Clif High
30:45
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Hello humans!
Hello humans.
It's the 21st.
It's early in the morning.
Gotta get on in and do shopping and stuff before the hordes hit the stores.
And then uh beat feet back to my uh to my house and do all of my regular chores.
Uh still working slowly towards relocation.
It's not easy.
Uh you know, finding a single-story house is like um uh well, it's easier to find Bigfoot out here.
You stumble over Bigfoot all the time, but single-story houses you just don't see much.
So anyway, we've got a few options, and I'm gonna pursue them, go and see some things and look at some other properties next week.
Um anyway, so uh we're at an interesting point in time.
I have um so I can't run the uh gathering and analysis part.
I could run the analysis part, but I can't run the gathering part of my process the way I used to do in the early 2000s up through uh about 200 17 or so, okay.
They um after that, and then we eventually get up to the point where Elon uh buys um Twitter um and at that point uh it it was basically illegal to do so because these guys were guarding their uh data sets, right?
They the thing is it costs them money when someone comes on over and does a web scrape.
So the way you used to do it would be to get to the Twitter API.
So you're not like um uh dealing with the same level of Twitter as what you see on your phone screen or your computer screen.
It would you just go out and get the data.
Uh damn, is that another one?
Anyway, so um the data sets can't be gathered, so I don't have the the volume that I used to, and we've got all this censorship stuff, right?
I my routine started really getting shut down around 2008 or so, uh, gradually winding down.
I had to keep fighting the censorship, which basically means you have to get in there and redefine words and and uh redefine relationships because they're clamping down on some words and promoting others.
And I you don't as a you know, in terms of my analysis, I didn't want to fall into the trap of furthering their promotion of specific language because they're out there pushing it all the time.
So they've been pushing uh catastrophe earth uh since uh 1947.
Okay, or there's arguably you can see that they were starting to formulate this earlier.
Uh there had been some discussions in the policy uh meetings in the uh Khazarian Mafia slash deep state that hint towards this back even in uh the midst of uh World War II.
And then we get out of World War II, we go to Korea, Vietnam, all of that kind of stuff, and in that period of time through the 50s, they're formulating how they're going to do things and try and uh control us as the technology is uh starting to um uh be like self-replicating and self-expanding, right?
Uh so they were reacting in the 40s, 50s, and 60s to what we are feeling now in much more intensity, which is the uh the rise of these or the input of these more energies coming in from Galactic Center, what I had termed strange energies from space, right?
Because we hadn't hadn't really felt them or uh acknowledged them or um really encountered them in a conscious way uh prior to this period of time because of the Kali Yuga, yada yada yada.
So these guys are uh tuning the language themselves constantly with their censorship algos trying to dampen down and control the minds of everybody online and it starts breaking down seriously in 2008.
They gotta really ramp up the censorship to the point where it's noticeable.
They're even kicking people off of various platforms then.
Then we segue all the way up through COVID and their totalitarian two-step, where they're trying to control the Narodim at two different levels and basically failing on both.
Okay, so they had no choice.
Their minds are limited and fixed.
They just have a very bad perception of reality.
And so this is why we're dealing with them.
This comes from the Elohim, right?
Because these guys worship but don't acknowledge the Elohim, we're in this problem.
And so, like Zionists, all right?
Zionism comes from this guy by the name of Zevi, who was a Jewish Messiah.
He was one of like 50 or 60 Messiahs they've had since the Elohim have left a couple of thousand years ago.
So you can say they've had like 60 Messiahs since the time of Christ.
And Christ was never a Messiah to the Jews.
Christ was the magician.
He was the idolater.
He was the sorcerer.
The Talmud condemns Christ to boil forever in feces.
Feces, urine, and blood.
Anyway, so the Kazarian Mafia, the deep state, they try and do all of this.
I have to fight their actions.
I'm not at that point understanding in 2008, 2009, etc.
I mean, I'd been red-pilled on November 22, 1963 when they shot Kennedy.
But I didn't understand at that point in 2008, 2009, etc.
How much energy they were putting into their attempt to control things.
And this, you know, the amount of energy they put into destroying the World Trade Centers, right?
So something you should know is that there were about, I think there was like 16,000 people that worked in both buildings where it could have housed many, many, many times that.
These two buildings were an economic failure.
They had serious asbestos problems.
They had some serious structural flaws.
And there were several floors that were unsafe to be on.
And this is before, you know, 9-11, right?
And so the buildings were a liability to them.
And so you get into all of the situations.
There were like 35 or 3,600 people in one building that did not show up to work on September 11.
They knew.
They were told.
They'd gotten phone calls.
Don't go into work, right?
In that building were several Jewish organizations.
Nobody showed up for work that day.
None of those individuals were killed.
None of them were harmed.
So, you know, it was clearly a false flag.
Clearly it served many, many, many purposes.
Just before they destroyed them, the insurance rates on both buildings were raised.
And then there was a special premium should both buildings be destroyed at the same time.
So, you know, they knew what they were doing.
They did all this shit with the insurance companies.
You have to understand that you say, well, why would the insurance companies do this seeing how suspicious it is?
Well, because they're owned by the same deep state players.
And they get compensated at the back end on such things by the central bank.
So, it's no skin off their nose, so to speak, right?
Anyway, so, we're in a strange period of time.
We've gone through a lot.
We have a lot more yet to endure and to struggle through, to triumph over before we get into anything where we can say, you know, things are starting to settle down.
So, it's going to be a while.
This period of time is, it was interestingly marked.
Okay.
So, in my work, I would get these.
So, I used what's called set theoretic math.
Okay.
It was set theory math.
um uh that's a difficult concept to get across, but there are cross links um within uh both my data sets and in reality where certain things are tied to certain other things, right?
And they they naturally follow from uh one to the next.
You can think of this as like you know, um, like you got a foot race and you got five people running, you're gonna have one person that wins, and then you're gonna have other levels of finishing.
Okay, so this is a but each and after that one person wins, then there's a uh a set um unfolding of of activities as a result of that.
So it's a um uh an accomplished irreversible fact that so and so won this particular race.
Now, you know, whether you get awards or not, or whether they say you're ineligible to win, all of that kind of stuff is not material to this point.
The this point is that once there is a an irreversible act within the the materium here, there are other things that uh are have been held uh pending, so to speak, while this act was in the process of completing, and then as it completes uh the other things are set in motion, such as you know who won number two and who gets an award and all the other stuff standing up on the podiums and all of that, right?
Those are all natural follow-ons to this one point of irreversibility.
Now the okay, so all right, so within the sets that were gathered by my data processing, and that's a whole huge amount of coding.
Most of the coding was not in the actual processing aspect, it was in the um well, sort of processing, but it was in the sweeping and the elimination of useless stuff out of the data.
So I might get you know a hundred million data gatherers, each data gather being approximately being slightly less than 3,000 words, and and maybe you'd end up throwing out 90% of that because it was garbage relative to uh human talk and so on.
It was you know, intruded by the machine, it was some HTML code or whatever.
Anyway, though, so um within this process, I would end up with these sets that were uh we could think of them as clumps of data, right?
And so uh there'd be some data that would be like kind of sticky, some sets of words that would be kind of sticky, and they would have other words stick next to them, whether or not uh they appeared all in the same set.
So you could have a word that was like um road sign, okay, or interstate road sign, and uh so we would have the word uh road sign in one set, you might have another set that also had that word, and then if you had a set that was way outlier in the in the sense that uh the word road sign appeared in a set that was mostly devoted to balloons,
then you would know that you're you're getting into an area where there is a potential for uh road sign to be a meaningful word, right?
To emerge in our reality in a way that it would would rise up to capture enough attention that it would hit the news, because that's basically what I was doing was forecasting what was going to hit the news, not really forecasting the events per se, but rather at least the initial uh flush of language that would appear around that event when that event manifested.
And we get into some real tricky shit there.
Okay, so anyway, uh so you you would get some level of words that um that were not deterministically placed in a set by my processing, rather they were placed in a particular set by the nature of their appearance in that language uh grouping.
So you Could say it it's not meaningful to have the word road sign show up in a uh Reddit forum that was uh discussing you know uh road repairs or transportation or even a vacation, right?
It'd be it'd be a little bit more meaningful in a vacation that someone on a vacation would happen to mention a road sign, but not at all meaningful if you were on a forum that was basically devoted to the generalized subject in which road signs would appear.
So, in that sense, um it's much more meaningful to have road sign appear in a um uh a forum devoted to balloons, just pop out of the blue, and this is because universe was forcing that person that wrote that to think about road signs in such a way that they just had to get it out, you know, and then once they get it out, usually they don't care about it anymore and they just forget about it.
What my data did, what my process did was to go through and scrape all this shit off of the various uh forums.
I mean, back when I could really scrape, and it would get all this stuff, and I'd get volumes, just volumes and volumes and volumes, of um words that were appearing, where basically one would presuppose that they should not.
And so it was meaningful, and you would set you would create these sets that would uh say, okay, you know, um balloons and a lot of color words, you know, red balloons, green balloons, spotted balloons, blah blah blah blah blah, and then in the midst of there, there would be the road sign, and then you would go to um those words that were captured around the road sign, right?
Maybe there were a lot of words that uh indicated uh the color red, and so in this circumstance, then you would, as the interpreter, as the analyst of these data sets as they were appearing, you would get the idea that there is probably some form of a manifestation of a red road sign showing up relative to the news relative and so on and so on, right?
And then you could maybe make a prediction out of it.
Now, basically, no one's gonna get really upset about a red road sign, it's not particularly uh a meaningful prescient uh omen or anything, and so in that sense, I mean, I really would not have concentrated on the word road sign unless it had popped up so many places that was unavoidable and had popped up in those areas where it had no right to be in terms of just the regular processing.
So this was sort of this gives you a sort of an idea as to how the spread of this would go, and then I'd have you know millions of these things, uh tens of millions of words clustered into sets, and the first part of the process is to go through and and deal with the set aspect of it, and then you just sort of like drill down.
Now, this is all pertinent because just the other day uh my friend Joe, J Snip 4, uh fell out of the sky and had an airplane fall on him.
Um, and the thing is that there are some people that appeared in the data sets for whatever reason their names or words that um uh reflect their name are um are showing up, right?
And so I would pay attention to whenever the data sets would pop up somebody that was uh a person um uh uh rather than a personality.
Okay, so now J Snip is a personality on YouTube, but before that he got into my data sets because he was a person.
I gotta let this doofus pass me.
Idiot.
Um anyway, so um just the other day.
All right, so I've been tracking Joe since geez, I don't know.
Year 2002, maybe something like that, long time.
So he's been appearing in the data sets a long time.
We've had some really interesting uh sets around him, and you know, I'd call him and just the first time I did it, it was just a fuck with his mind, okay, because I I kind of like Joe.
Uh, you know, he was we had an interesting um uh introduction here uh around my data and stuff, and then I'd sort of corresponded with him, and and I I like Joe, right?
Anyway, so I get way back when I get this thing saying that Joe's gonna have a near miss, and really it's a near hit.
Okay, we all call it a near-miss, uh, which is um uh kind of a misnomer, but anyway, so the data described uh poor Joe, you know, coming that close to a pretty serious industrial accident.
And and so I told Joe, I said, Okay, Joe, you know, the data's got you in here, and it's because of his name and stuff, right?
Um, and that it that it's got you associated with this uh, you know, nearly having an industrial accident.
And he tells me that, well, you know, this kind of unlikely, I think you're really full of shit, because I sit here and and fuck with computers all day.
And it's like I told him, you know, Joe, I'm not I'm not saying this is gonna happen, I'm just saying that this appeared in the data.
I don't know what it means.
This is as clear as I can interpret it, you know, and we'll see, right?
And then eh, maybe shortly, it was shortly thereafter, so maybe it was a few months.
So, like maybe I told him in like November, and it happens in you know, February, something like that, but he did indeed, even though he works in an IT department, he did indeed have a um uh nearly have an industrial accident.
He almost got you know some level of electrocution out of a failing power supply on a uh on a tower that was sitting next to him that was arcing all over the place and almost hit his foot.
And he's freaking out, he goes out, he makes a video about it because he's freaking out about it all.
Anyway, so um fast forward uh you know, 22 years, and here we are, and uh Joe's flying along the other day, and um he's a pilot, uh, you know, flies all different kinds of stuff, and he's flying an airplane, and he's uh coming from New Mexico, uh, where he's got this uh big secret project going, and he's flying back to Florida to his house, and his airplane fucks up, right?
Well, the weather gets him first, and his airplane fucks up, and so he has to land.
Uh basically on the way down, it was sort of decided by universe and him, he's gonna have to crash.
He's not gonna land, right?
There's no landing strip, there's no nothing.
So he crashes into these woods, uh, the airplane flips over, and somehow in this process, he is not killed.
Now, I had been talking to Joe uh three or four months now because he's been showing up in the data sets, and I had warned him that he was showing up in the data sets.
Uh, but all of the words around his name were like good words.
But when I was reading the data, it's like, oh fuck, this looks like a eulogy.
I don't know if Joe's gonna make it out of whatever it was that was coming, right?
Um, there was a lot of words about flying and landing, and here was my problem.
I couldn't tell Joe that, hey Joe, the data sets you're gonna uh data sets suggest you're gonna crash, because it really didn't say crash, right?
It did say landing, darkness, all of this kind of shit, right?
Um, and so I had actually decided, okay, I'm not gonna tell Joe because of freak him out, he wouldn't stop flying, but it might actually contribute to causing him problems because he might be so paranoid he would you know react badly, that kind of thing, right?
So I was not gonna front load him and and preload him with this, but I was gonna start gently sort of prompting his mind to think about certain things.
So I sent him an email and asked him about you know, flying at night.
Could he fly his helicopter at night and so on, and you know, uh landing on roads and shit, that that sort of thing, right?
I was under the impression that it was gonna be a helicopter, but it didn't the data wasn't specific at that point.
Anyway, so Joe's in this set.
I start talking to him gradually over a couple of months, bringing up all these flying issues, trying to get his mind sort of prepped in the background because I'm very reluctant to actually come on out and say, Joe, this data looks like you're gonna have a hard landing or a crash, right?
And and bear in mind, I was actually under the impression, given the way the data was laying out, that we would be looking at a eulogy afterwards, not something I wanted to contemplate.
Anyway, and so the way it worked out, um Joe didn't die, okay.
He was somehow quite miraculously not killed in this very, very, very bad plane crash.
And his plane is total, just like smooshed, okay.
And anybody else that would have been with him in that plane would certainly have been killed uh in the process of them coming down.
First off, the plane would have been heavier, it would have been difficult to control, the blah blah blah blah blah.
Plus, there would have been, you know, more bodies in that the cab of that plane to impact all of the stuff that was flying around as they crashed.
So uh, you know, so the circumstances provided by universe were specific and obviously universe likes Joe, because Joe did not die.
Now, in the past, there have been like uh maybe three or four of these things where Joe has popped up.
Nothing as dramatic as a plane crash, though, right?
Um now also bear in mind that Joe had had this dream about um cryptos about Bitcoin reaching 38,000, and then a very, very, very deep uh and profound crash.
Well, we all thought he was talking about, and he even thought we were talking about crashing of the of the Bitcoin prices, and hey, maybe not.
Maybe it was that you know, they were trying to the data is trying to tell, or the dreams are trying to tell Joe that um, you know, hey, dude, when Bitcoin reaches 38,000 shortly thereafter, you're gonna crash crash, which is factually what had happened.
Um, you know, does that mean that Bitcoin's not gonna crash?
May very well mean that.
Uh, that his dream on the on the crashing of the Bitcoin and all of that um uh may not be uh as he has interpreted it.
So uh anyway, so uh I'm getting into town here, I've gotta get ready to do other stuff.
But anyway, so the nature of these sets are that Joe and his set, uh Joe within his set with the crash with the airplane, uh, the landing, the darkness.
It wasn't quite dark, but it was gonna get dark, and Joe was fearful of that darkness and trying to set the plane down, so he had to do it then, couldn't wait another half hour, blah blah blah.
So all of those things, all those words were involved in this.
But so that has manifested now.
And the thing is that so this was a temporal marker within Joe's uh data set.
Um it has manifested.
So this was a uh uh an in the past temporal marker.
That temporal marker and Joe's data set are cross-linked to all these other data sets, right?
Because they share uh commonality of words.
So in Joe's case, you know, we've got airplanes flying, crash, darkness, all of this kind of stuff, and you'll find those words in other sets.
And so if you follow the those words that surrounded Joe and and seemed to describe this incident, then you can go and connect to other sets where they appear to be also describing um those kinds of influences also hitting other subject areas that are not Joe.
And so this is how we um this is how the cross links influence and suggest that there's an interrelated relationship between manifestation of one thing, in this case, uh Joe having an airplane fall on him, um, and other sets.
And so uh this is basically how I can say, okay, you know, we're at this particular point, right?
And so within uh Joe's uh data set acting as a crosslink reference point, uh, we have all of these sets uh uh or all of this language about the influence of of things at this time um creating this splits happen, right?
So if we look at it, we see that there's all kinds of um uh ways you can apply this language to our current circumstances.
So Joe very definitely split himself from that airplane in so many different fashions, right?
So many different facets.
Planes destroyed, he's split from it, he's got to get rid of it, blah, blah, blah.
Uh, he was thrown out of the thing or crawled out of it, but thrown out of his seatbelt, so it's it physically split away from him, and and we keep looking, there's all of these uh cross connections linguistically to things that are going on.
And so we see that the January 6 uh tapes have been let out, and now we have the splits happen between the normies and uh the Democrats uh emerging as it comes out that they you know created uh a fiction of an insurrection and all these people bought it, and so you're gonna have all kinds of emotional reactions to this.
And this is all part of the splits happen, which I've been talking about for a couple of months that was going to impact um media to the point that the normies are going to just walk away from media.
And so we're we're in that phase now, and we're getting the temporal markers of that happening.
So you see um splits happening between X or you know, Twitter and their advertisers, and the natural response to that, right?
So that's one of the things I'm doing is that us guys are I've contacted Pure Bulk, and we're gonna advertise Pure Sleep and other pure bulk stuff on Twitter to support Twitter.
It's a really interesting platform to advertise on too in many different regards, and I can get into that at some other point.
Um but um so uh the splits are happening all over.
People are splitting from the Congress in the sense that they're not getting um, you know, they're announcing that they're not gonna run again, you know, they're getting the fuck out because of course they know they're you know they're in deep shit, blah blah blah, right?
Um so we're gonna go through this uh period here, and it'll get to the point, I believe, uh, where individuals like um uh um Jean Claude at uh Beyond Mystic and uh you know David Ike and um oh Max Egan and all these kind of people, right?
All of the woo people will start getting uh big kickups in the number of people that follow them and the number of people that watch their stuff, to the point that it becomes something that has to be addressed by the mainstream media relative to the rest of social media.
So as part of splits happen when it is um uh really manifest uh when it's like um uh got the cap on it, will be when uh we get the language out that the mainstream media is saying, trying to alibi why all these people are suddenly listening to uh, you know, uh David Icke and his um uh lizard talk, right?
Or uh Max Egan and his um, you know, Gaza Genocide talk.
So if Max Egan starts getting like, you know, um thousands of uh new views to the point where it starts scaling up into the hundreds of thousands and the millions, it will get to the point where they will have to address the fact that all these people are watching him and getting this information.
They'll have to call all of us out, they're gonna have to get all over over all of our cases, yada yada yah.
That's part of this splits happen, which because of the nature of the cross links has been confirmed among another of other a number of other sets uh as in the process of manifesting by the fact that Joe fell out of the sky and his airplane fell on him.
That's just the way these data sets work.
That's just the way the manifestations appear, and we um our pre-interpretation of them and then our uh analysis afterwards, putting it all together, you know.
So I'm never quite right, I'm never quite exact as to how this happens.
But there's probably there were in that set uh around Joe.
There probably were many.
Well, I know there was a lot of language about crashing, but I never applied it to the flying because I was talking to Joe and he was applying it to the uh Bitcoin and stuff.
So you can get yourself really screwed up as you go along on this stuff if you're not careful.
Anyway, I gotta go and do stuff.
Uh lots of stuff to talk about.
I'll bring up something else later.
Okay, guys, take care.
Um doing this a day early, obviously, because of Thanksgiving, and we gotta get um prepped for what's happening next um next week.
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