1 00:00:01,720 --> 00:00:06,320 Speaker 1: Cool Zone Media. 2 00:00:06,440 --> 00:00:09,320 Speaker 2: Welcome back to it could Happen here. I'm Garrison Davis. 3 00:00:09,480 --> 00:00:13,920 Speaker 2: I'm joined by Mia and Robert to discuss predictive programming. 4 00:00:14,240 --> 00:00:16,720 Speaker 2: So last episode we talked about the origin of this 5 00:00:16,800 --> 00:00:21,959 Speaker 2: conspiracy theory, how this Canadian Scottish conspiracy theorist named Alan 6 00:00:22,000 --> 00:00:25,960 Speaker 2: Watt came up with this idea that through Hollywood movies, 7 00:00:26,079 --> 00:00:31,480 Speaker 2: TV books, video games, the secret couple of shadowy governments 8 00:00:31,640 --> 00:00:36,600 Speaker 2: is trying to subliminally prepare us to accept planned events 9 00:00:36,680 --> 00:00:41,080 Speaker 2: as they take place in the future by putting little hints, shadows, 10 00:00:41,120 --> 00:00:46,120 Speaker 2: and seeds into our everyday entertainment diet. One of the 11 00:00:46,159 --> 00:00:49,000 Speaker 2: oldest examples that conspiracy theorists will point to you as 12 00:00:49,000 --> 00:00:52,199 Speaker 2: an example of predictive programming is this book from the 13 00:00:52,280 --> 00:00:56,320 Speaker 2: late eighteen hundreds called Futility that talks about a fictional 14 00:00:56,360 --> 00:00:59,560 Speaker 2: ship called the titan which was thought to be completely 15 00:00:59,640 --> 00:01:03,520 Speaker 2: unsyn which eventually crashed on an iceberg and sank. This 16 00:01:03,680 --> 00:01:07,480 Speaker 2: obviously it mirrors what happened to the Titanic in the 17 00:01:07,600 --> 00:01:11,080 Speaker 2: decades to follow, So, yeah, what are we talking about 18 00:01:11,120 --> 00:01:14,560 Speaker 2: this sort of stuff? Last episode ended in our discussion 19 00:01:14,720 --> 00:01:18,279 Speaker 2: of the Hunger Games. I found this old conspiracy blog 20 00:01:18,280 --> 00:01:21,560 Speaker 2: by this British guy named Neil where he talks about 21 00:01:21,600 --> 00:01:25,800 Speaker 2: all of his theories surrounding the Hunger Games, books and movies, 22 00:01:26,520 --> 00:01:30,640 Speaker 2: So we will return to hear Neil's thoughts on the 23 00:01:30,720 --> 00:01:36,200 Speaker 2: predictive programming implanted into the Hunger Games. Neil also has 24 00:01:36,240 --> 00:01:40,840 Speaker 2: fascinating opinions on trains. He really doesn't like that in 25 00:01:40,840 --> 00:01:44,480 Speaker 2: the Hunger Games there is a big train system which 26 00:01:44,520 --> 00:01:47,039 Speaker 2: he links to like the which he links to the 27 00:01:47,040 --> 00:01:49,960 Speaker 2: European Union's future train plan as well as as well 28 00:01:50,000 --> 00:01:53,920 Speaker 2: as like high speed rail plans for North America, which 29 00:01:54,080 --> 00:01:56,320 Speaker 2: he is very against because do you know who else 30 00:01:56,400 --> 00:01:57,080 Speaker 2: used trains? 31 00:01:58,520 --> 00:01:59,280 Speaker 3: Was it the Nazis? 32 00:01:59,320 --> 00:02:00,720 Speaker 2: Garretton, It's the Nazis? 33 00:02:00,920 --> 00:02:01,680 Speaker 3: Is it the Nazis? 34 00:02:01,760 --> 00:02:02,360 Speaker 2: It's the Nazis? 35 00:02:02,400 --> 00:02:04,280 Speaker 4: You know you can tell this is an older conspiracy 36 00:02:04,320 --> 00:02:06,720 Speaker 4: because they because they're actually using the Nazis as the 37 00:02:06,720 --> 00:02:09,040 Speaker 4: people who use trains and not like the Soviet Union. 38 00:02:09,400 --> 00:02:10,480 Speaker 5: Yeah. 39 00:02:10,840 --> 00:02:13,960 Speaker 2: I think Neil just really likes driving and he thinks 40 00:02:13,960 --> 00:02:16,320 Speaker 2: that driving is like the epitome of freedom. So he 41 00:02:16,360 --> 00:02:19,200 Speaker 2: talks about how like trains are trying to control which 42 00:02:19,240 --> 00:02:21,120 Speaker 2: areas of the country you can go to instead of 43 00:02:21,280 --> 00:02:22,640 Speaker 2: the freedom of the open road. 44 00:02:23,280 --> 00:02:25,520 Speaker 5: I got stuck behind a train and traffic on my 45 00:02:25,600 --> 00:02:28,000 Speaker 5: way to the airport, very frustrated to make me late 46 00:02:28,040 --> 00:02:30,519 Speaker 5: to this call. So I actually I think he's right. 47 00:02:30,760 --> 00:02:31,600 Speaker 5: I'm on board now. 48 00:02:31,840 --> 00:02:34,679 Speaker 2: He also rants about this, this this nineteen ninety two 49 00:02:35,440 --> 00:02:38,679 Speaker 2: UN plan called Agenda twenty one about like a big 50 00:02:38,800 --> 00:02:43,440 Speaker 2: environmental management plan with highly condensed human settlement zones. This 51 00:02:43,480 --> 00:02:46,400 Speaker 2: is something that both John Birch and Glenn Beck were 52 00:02:46,400 --> 00:02:47,639 Speaker 2: also like, really. 53 00:02:47,520 --> 00:02:50,160 Speaker 5: Oh, Alex Jones is huge on. Yeah, this was the 54 00:02:50,360 --> 00:02:53,280 Speaker 5: entire conspiracy ecosystem for about fifteen years. Couldn't shut the 55 00:02:53,280 --> 00:02:55,280 Speaker 5: fuck up out agenda to anyone. Some of them still 56 00:02:55,440 --> 00:02:56,239 Speaker 5: go on about it. 57 00:02:56,320 --> 00:02:59,800 Speaker 2: So Neil's upset because that looks similar to like the 58 00:03:00,480 --> 00:03:03,120 Speaker 2: map of like because PanAm is in like a post 59 00:03:03,160 --> 00:03:06,200 Speaker 2: climate collapse, we have these very condensed areas of settlement 60 00:03:06,280 --> 00:03:10,080 Speaker 2: and like a vast like unusable land mass in America. 61 00:03:10,400 --> 00:03:12,720 Speaker 2: So he has he has this whole thing about that. 62 00:03:13,800 --> 00:03:16,840 Speaker 2: He he doesn't like that President No looks like the 63 00:03:16,880 --> 00:03:20,920 Speaker 2: Saturnian figure of Kronos, the father of time, who devours children, 64 00:03:21,440 --> 00:03:26,200 Speaker 2: just like just like how President Snow sacrifices children to 65 00:03:26,360 --> 00:03:30,040 Speaker 2: maintain like societal control of PanAm in the Hunger Games. 66 00:03:30,240 --> 00:03:32,800 Speaker 5: You know, let him see my bed, my bathroom. That'll 67 00:03:32,880 --> 00:03:36,160 Speaker 5: uh yeah really good. In the center of some I 68 00:03:36,200 --> 00:03:39,960 Speaker 5: have a giant copy of the Saturn eating his Son painting. 69 00:03:40,000 --> 00:03:42,640 Speaker 5: That's like right next to my toilet. It's great painting. 70 00:03:43,360 --> 00:03:46,440 Speaker 5: Also not necessarily about that. They just found a painting 71 00:03:46,480 --> 00:03:48,200 Speaker 5: of a guy eating a guy, and we're like, it's 72 00:03:48,240 --> 00:03:51,119 Speaker 5: probably Saturn that this guy was trying to bait. 73 00:03:51,800 --> 00:03:54,920 Speaker 2: That is the research quality that Neil also does. He's like, yeah, 74 00:03:54,920 --> 00:03:56,000 Speaker 2: it's probably all these things. 75 00:03:56,120 --> 00:03:57,040 Speaker 3: Seems like it's Saturn. 76 00:03:57,160 --> 00:03:59,560 Speaker 2: Yeah, it seems like it's Saturned. 77 00:03:59,640 --> 00:04:02,320 Speaker 5: Yeah, kind of uncomfortable to imagine it's anyone else. 78 00:04:03,720 --> 00:04:07,200 Speaker 2: Neil also compares The Hunger Games to China's one child 79 00:04:07,280 --> 00:04:11,000 Speaker 2: policy and the population reduction conspiracy theories of Agenda twenty one. 80 00:04:11,520 --> 00:04:14,240 Speaker 2: Just like in the Hunger Games, it's about having children 81 00:04:14,360 --> 00:04:16,440 Speaker 2: kill each other, just like the one child policy. 82 00:04:16,520 --> 00:04:18,839 Speaker 5: Yeah, that's that's how China does the one child policy. 83 00:04:19,760 --> 00:04:21,440 Speaker 5: Other children are told to kill. 84 00:04:23,440 --> 00:04:28,159 Speaker 2: The family back on the Revolutionary tract quote. I can't 85 00:04:28,200 --> 00:04:31,080 Speaker 2: confirm that Susan Collins used the archetype of Artemis for 86 00:04:31,120 --> 00:04:33,960 Speaker 2: her character of Catnus, But what can be observed is 87 00:04:33,960 --> 00:04:37,400 Speaker 2: how this female role model is a symbol for revolution, 88 00:04:37,839 --> 00:04:40,560 Speaker 2: a new order, and more importantly, a new world system. 89 00:04:40,640 --> 00:04:43,520 Speaker 2: This is clearly the blueprint for a new America. So 90 00:04:43,720 --> 00:04:46,039 Speaker 2: part of this blueprint that he talks about is like 91 00:04:46,120 --> 00:04:49,200 Speaker 2: implanted microchips and a brutal police state that arrests and 92 00:04:49,279 --> 00:04:52,960 Speaker 2: kills protesters, unlike our current police state, which would never 93 00:04:53,240 --> 00:04:55,800 Speaker 2: arrest or kill a protester. Yeah, and everyone just carries 94 00:04:55,839 --> 00:05:02,719 Speaker 2: micro trips around. Yeah yeah, now more more devious than 95 00:05:02,839 --> 00:05:06,719 Speaker 2: the murder happy police. Neil finds the bird symbolism to 96 00:05:06,760 --> 00:05:12,360 Speaker 2: be including Catnus's dress, which transforms into the mocking jay symbol, which, 97 00:05:12,400 --> 00:05:15,920 Speaker 2: according to Neil looks quote remarkably like a Benu bird 98 00:05:15,960 --> 00:05:21,239 Speaker 2: of Egypt, as well as a phoenix, especially when encircled 99 00:05:21,240 --> 00:05:24,520 Speaker 2: in fire quote. The phoenix a classic mystery school symbol 100 00:05:24,520 --> 00:05:27,400 Speaker 2: that relates to the unseen forces that transforms the world. 101 00:05:27,839 --> 00:05:30,719 Speaker 2: Both Catnus and Pete's costumes set a fire as they 102 00:05:30,800 --> 00:05:33,560 Speaker 2: enter the arena before the tournament, with Catnus becoming the 103 00:05:33,560 --> 00:05:36,120 Speaker 2: bird on fire. She's the embodiment of the coming transformation, 104 00:05:36,480 --> 00:05:39,880 Speaker 2: the beginning and the end. Catinus and Peda are symbols 105 00:05:39,920 --> 00:05:43,000 Speaker 2: of Artemis and Apollo, the twins and children of the 106 00:05:43,080 --> 00:05:46,560 Speaker 2: New World Order of Gods. Smokeless fire is also a 107 00:05:46,600 --> 00:05:51,640 Speaker 2: major symbol used by the Illuminati and as their vehicle 108 00:05:51,680 --> 00:05:54,960 Speaker 2: to communicate with the Arkans. He never goes into further 109 00:05:55,000 --> 00:05:55,680 Speaker 2: detail of. 110 00:05:55,640 --> 00:06:01,080 Speaker 5: A Yes, smokeless powder is what made warpop, so you know, 111 00:06:01,120 --> 00:06:03,960 Speaker 5: we've there's other things. It's not just the Illuminati. We 112 00:06:04,080 --> 00:06:05,279 Speaker 5: use it for fireworks too. 113 00:06:05,880 --> 00:06:09,320 Speaker 2: Catnus is the woman closed in fire sun in the 114 00:06:09,360 --> 00:06:12,720 Speaker 2: Book of Revelation and the EU, the United Nations, and 115 00:06:12,760 --> 00:06:16,400 Speaker 2: the Security Council replicate the symbolism a phoenix rising out 116 00:06:16,400 --> 00:06:20,000 Speaker 2: of the tyranny and war. It's all reversed symbolism, of course, 117 00:06:20,320 --> 00:06:23,159 Speaker 2: because these bodies are set to administer the World Army, 118 00:06:23,200 --> 00:06:27,839 Speaker 2: Police and the future New World Order unquote. Though he's 119 00:06:27,880 --> 00:06:31,080 Speaker 2: there complaining about a United Nations mural that was made 120 00:06:31,120 --> 00:06:34,560 Speaker 2: after World War Two about a phoenix of peace rising 121 00:06:34,560 --> 00:06:37,919 Speaker 2: from the ashes of war and houses actually reversed symbolism 122 00:06:38,160 --> 00:06:40,880 Speaker 2: because they're actually going to be, you know, laying out 123 00:06:40,960 --> 00:06:44,880 Speaker 2: this global one world government calling it peace. You know. 124 00:06:45,440 --> 00:06:48,120 Speaker 2: He also talks more about the Book of Revelation and 125 00:06:48,160 --> 00:06:51,640 Speaker 2: how twelve and thirteen combined and the unification of the 126 00:06:51,680 --> 00:06:55,240 Speaker 2: new world, just like in the Bible. And then finally 127 00:06:55,320 --> 00:06:59,680 Speaker 2: to get to three that three finger salute quote, it's 128 00:06:59,720 --> 00:07:01,760 Speaker 2: interesting when you dig a little deeper and find that 129 00:07:01,800 --> 00:07:05,880 Speaker 2: Catnus's salute is reminiscent of a certain Nazi youth salutes 130 00:07:05,920 --> 00:07:09,440 Speaker 2: found in Eastern Europe in the late nineteen thirties. He's 131 00:07:09,640 --> 00:07:11,640 Speaker 2: and he's also quite concerned by the new adoption of 132 00:07:11,640 --> 00:07:14,239 Speaker 2: the salute by the Girl Scouts, despite the three finger 133 00:07:14,280 --> 00:07:16,760 Speaker 2: salute being used in Scout organizations for over a century. 134 00:07:16,760 --> 00:07:19,640 Speaker 5: You know, yeah, yeah, like the boy Scouts have a 135 00:07:19,640 --> 00:07:22,480 Speaker 5: lot are sinister, but not because of the salute. Now, 136 00:07:23,520 --> 00:07:25,560 Speaker 5: is the least of the problems with the Scout was 137 00:07:25,600 --> 00:07:28,360 Speaker 5: a brief moment of reprieve for a lot of those 138 00:07:28,440 --> 00:07:30,560 Speaker 5: boys getting to do a salute. 139 00:07:31,080 --> 00:07:33,680 Speaker 2: And then he also says, quote, it's no surprise that 140 00:07:33,760 --> 00:07:37,800 Speaker 2: the mocking jpin also looks similar to a Nazi gunner badge, because, 141 00:07:37,920 --> 00:07:41,040 Speaker 2: as I've already shown, the bird is the symbol for 142 00:07:41,080 --> 00:07:43,920 Speaker 2: the power of revolution, a new order that goes all 143 00:07:43,960 --> 00:07:45,880 Speaker 2: the way back to the Holy Roman Empire. 144 00:07:45,960 --> 00:07:47,480 Speaker 5: And these are the guys will be like, look the 145 00:07:47,480 --> 00:07:49,960 Speaker 5: mocking jay symbol it's similar to then they'll see like 146 00:07:50,000 --> 00:07:53,000 Speaker 5: a Scout sniper flag that looks like the SS logo 147 00:07:53,040 --> 00:07:55,240 Speaker 5: and go, well, there's clearly nothing related to. 148 00:07:55,200 --> 00:08:00,679 Speaker 2: That, and then we will we will close this by 149 00:08:00,760 --> 00:08:05,880 Speaker 2: continuing on the revolutionary elements quote what kind of revolution 150 00:08:05,960 --> 00:08:08,840 Speaker 2: does catnus symbolize? Are the youth of today being readied 151 00:08:08,880 --> 00:08:12,120 Speaker 2: for another revolution followed by another dictatorship? How many more 152 00:08:12,160 --> 00:08:14,280 Speaker 2: celebrities are we going to see being used as a 153 00:08:14,320 --> 00:08:19,160 Speaker 2: mouthpiece for revolution. I am all for peaceful revolution based 154 00:08:19,200 --> 00:08:22,040 Speaker 2: on respect and love, but the movies never portray that 155 00:08:22,120 --> 00:08:25,480 Speaker 2: kind of revolution. A peaceful revolution is one inspired by 156 00:08:25,480 --> 00:08:28,720 Speaker 2: the inner world of imagination and not necessarily the outer 157 00:08:28,840 --> 00:08:31,240 Speaker 2: world of this five sensus. The type of revolution that 158 00:08:31,280 --> 00:08:33,360 Speaker 2: the elite would want us to unfold here would be 159 00:08:33,400 --> 00:08:36,640 Speaker 2: one born of pandemonium. The illuminati, in those in control 160 00:08:36,640 --> 00:08:39,880 Speaker 2: of the current global empire in the making, love to 161 00:08:39,960 --> 00:08:42,680 Speaker 2: hide their agenda in plain sight within commercial so called 162 00:08:42,720 --> 00:08:45,640 Speaker 2: fictitious movies and in the media industry in general. The 163 00:08:45,720 --> 00:08:48,600 Speaker 2: Hunger Games is the script for the ttalitarian elite ruled 164 00:08:48,640 --> 00:08:51,640 Speaker 2: brutal police state, the agendas repeatedly being laid out in 165 00:08:51,640 --> 00:08:54,040 Speaker 2: front of our very eyes, both in real everyday life 166 00:08:54,080 --> 00:08:56,440 Speaker 2: and in things we choose to expose ourselves within the 167 00:08:56,480 --> 00:08:58,400 Speaker 2: so called entertainment industry. 168 00:09:00,000 --> 00:09:02,600 Speaker 4: That's one of these things where all of these conspiracy 169 00:09:02,600 --> 00:09:05,599 Speaker 4: theories center around the fact that people, for reasons that 170 00:09:05,640 --> 00:09:07,920 Speaker 4: are incomprehensible to be believed that the thing the US 171 00:09:07,960 --> 00:09:10,319 Speaker 4: government wants you to do is shoot guns at them. 172 00:09:11,000 --> 00:09:12,960 Speaker 2: Yes, right, No, No, they don't. 173 00:09:13,040 --> 00:09:15,320 Speaker 4: I guarantee they don't want you to shoot machine guns 174 00:09:15,360 --> 00:09:15,640 Speaker 4: out there. 175 00:09:15,800 --> 00:09:19,000 Speaker 5: They like you to spend money and go to work. 176 00:09:19,559 --> 00:09:22,040 Speaker 5: That's the primary thing the US government wants you to do. 177 00:09:22,120 --> 00:09:24,360 Speaker 5: Pay your taxes without too much fuss. 178 00:09:24,960 --> 00:09:26,720 Speaker 2: Do you know what else the US government wants you 179 00:09:26,760 --> 00:09:27,760 Speaker 2: to do, Robert. 180 00:09:28,960 --> 00:09:30,760 Speaker 5: I know a number of things the US government wants 181 00:09:30,760 --> 00:09:33,000 Speaker 5: me to do, Garrison, but I won't. I will not 182 00:09:33,200 --> 00:09:35,800 Speaker 5: stop telling people to take colloidal silver for all of 183 00:09:35,800 --> 00:09:38,199 Speaker 5: their health care problems. The only way to really carry 184 00:09:38,200 --> 00:09:48,920 Speaker 5: out the revolution starts with putting silver in your body. 185 00:09:52,320 --> 00:09:55,560 Speaker 2: All right, we are back. I've actually always wanted to 186 00:09:55,600 --> 00:09:58,200 Speaker 2: do the topical silver and get that like blue skin. 187 00:09:58,280 --> 00:09:59,720 Speaker 2: I thought that'd be kind of cool. 188 00:10:00,440 --> 00:10:01,840 Speaker 3: You have to do a lot of it, cares. 189 00:10:02,200 --> 00:10:05,600 Speaker 2: I'm well aware, like we can. 190 00:10:05,520 --> 00:10:06,720 Speaker 4: Achieve this with body paint. 191 00:10:07,160 --> 00:10:09,960 Speaker 5: I do find it very funny that they're so obsessed 192 00:10:09,960 --> 00:10:12,720 Speaker 5: with like the Hunger Games as this like this is 193 00:10:12,720 --> 00:10:15,000 Speaker 5: the elite showing you how they're going to crack down 194 00:10:15,040 --> 00:10:17,719 Speaker 5: on all of us. And then when it actually when 195 00:10:17,720 --> 00:10:20,480 Speaker 5: the Hunger Games inspires an actual revolution, it's like the 196 00:10:20,520 --> 00:10:24,359 Speaker 5: one that gets no support from any like Spook agency 197 00:10:24,400 --> 00:10:27,400 Speaker 5: in the the only one. There's no CIA, no FSB, 198 00:10:27,840 --> 00:10:31,439 Speaker 5: fucking nothing like it's it's just a bunch of teenagers 199 00:10:31,440 --> 00:10:33,520 Speaker 5: and their books and three D printers. 200 00:10:33,240 --> 00:10:35,320 Speaker 2: I mean, And like looking back at at that Hunger 201 00:10:35,320 --> 00:10:38,640 Speaker 2: Game section, it's always interesting how people like this they're 202 00:10:38,679 --> 00:10:41,599 Speaker 2: like in the real world, very like pro police in 203 00:10:41,640 --> 00:10:44,200 Speaker 2: a lot of cases, but then also being like they're 204 00:10:44,240 --> 00:10:48,199 Speaker 2: trying to instill a police state, right, It's they get 205 00:10:48,200 --> 00:10:50,040 Speaker 2: to eat their cake and have it too, where they 206 00:10:50,600 --> 00:10:54,680 Speaker 2: are both pro law enforcement but also anti this like 207 00:10:55,040 --> 00:10:58,400 Speaker 2: imagined evil version of law enforcement. That's always like right 208 00:10:58,440 --> 00:11:00,800 Speaker 2: on the cusp of being introduced, there's a. 209 00:11:00,760 --> 00:11:04,280 Speaker 5: Through line there, which is that they are anti whatever 210 00:11:04,320 --> 00:11:09,319 Speaker 5: it seems like people are telling them is like obviously, okay, 211 00:11:09,480 --> 00:11:12,920 Speaker 5: it's it's oppositional, definant. It's the same reason why, like 212 00:11:13,240 --> 00:11:15,640 Speaker 5: you think that you're on, you're living in a normal earth, 213 00:11:15,720 --> 00:11:17,880 Speaker 5: so it's got to be a hollow earth, right, Like 214 00:11:17,920 --> 00:11:20,960 Speaker 5: it's this if something is popular, if a movie's popular, 215 00:11:21,000 --> 00:11:23,680 Speaker 5: it can't just be a movie that people liked. And 216 00:11:23,760 --> 00:11:27,120 Speaker 5: if it's like, you know, I saw a Hunger Game, 217 00:11:27,200 --> 00:11:28,959 Speaker 5: the first Hunger Games movie, and I tried to read 218 00:11:28,960 --> 00:11:30,840 Speaker 5: the books and I was like, nah, I can't read 219 00:11:30,840 --> 00:11:33,920 Speaker 5: these you know, they're not they were not written for me. 220 00:11:34,120 --> 00:11:36,400 Speaker 5: Like it's it's just I was not interested in them. 221 00:11:36,640 --> 00:11:38,520 Speaker 5: And that's all I really thought about it. But like 222 00:11:38,920 --> 00:11:41,960 Speaker 5: certain people, if they see something popular and they don't 223 00:11:42,000 --> 00:11:45,360 Speaker 5: immediately fall in love with it, they have to come 224 00:11:45,480 --> 00:11:47,520 Speaker 5: up with some reason why it's sinister. And it's the 225 00:11:47,559 --> 00:11:52,320 Speaker 5: same thing that leads them to reject everything else, right that, Like, 226 00:11:52,400 --> 00:11:55,480 Speaker 5: if other people like something and I don't get it, 227 00:11:55,720 --> 00:11:58,440 Speaker 5: or I feel weird or don't understand it, then it 228 00:11:58,480 --> 00:12:01,200 Speaker 5: has to be a fucking conspiracy. Like that used to 229 00:12:01,240 --> 00:12:04,200 Speaker 5: be one percent of this country, and through social media 230 00:12:04,559 --> 00:12:07,400 Speaker 5: it's become like half of us because it's a deeply 231 00:12:07,920 --> 00:12:09,160 Speaker 5: addictive way to feel. 232 00:12:10,160 --> 00:12:12,240 Speaker 2: I think the most sinister thing about the new Hunger 233 00:12:12,280 --> 00:12:15,120 Speaker 2: Games is that they did not put nearly enough Hunter 234 00:12:15,160 --> 00:12:16,280 Speaker 2: Shafer in that movie. 235 00:12:16,960 --> 00:12:18,400 Speaker 5: So let's know who that is. 236 00:12:18,600 --> 00:12:20,280 Speaker 2: Let's continue to the last. 237 00:12:20,520 --> 00:12:24,000 Speaker 3: That's got to be predictive hunter Shaver. So they wanted. 238 00:12:23,920 --> 00:12:27,880 Speaker 5: Okay, so this is like very clearly, well, no, I 239 00:12:27,920 --> 00:12:29,760 Speaker 5: could go into like I could go into like they're 240 00:12:29,800 --> 00:12:31,840 Speaker 5: trying to make the kids trans right, they wanted to 241 00:12:31,880 --> 00:12:37,520 Speaker 5: like hunt down their parents shaved right in Shave you 242 00:12:37,559 --> 00:12:41,800 Speaker 5: know Earth. Well, I'm saying you could easily turn it 243 00:12:41,840 --> 00:12:44,400 Speaker 5: into a conspiracy theory, Garrison, you could make it work. 244 00:12:45,360 --> 00:12:47,600 Speaker 2: So last thing we are to talk about the new 245 00:12:47,720 --> 00:12:54,440 Speaker 2: hit movie Leave the World Behind. Garrison made me watch this. 246 00:12:54,559 --> 00:12:56,840 Speaker 4: I'm never gonna forgive them for it. 247 00:12:56,920 --> 00:12:58,480 Speaker 2: One of it is. It is one of the most 248 00:12:58,480 --> 00:13:02,600 Speaker 2: recent examples of a movie sparking predictive programming conspiracies. It's 249 00:13:02,640 --> 00:13:05,880 Speaker 2: by the creator of mister Robot, which retroactively makes mister 250 00:13:05,960 --> 00:13:08,800 Speaker 2: Robot much worse. Now. There is a few reasons why 251 00:13:08,800 --> 00:13:11,760 Speaker 2: this movie has caused so much uproar, a major factor 252 00:13:11,840 --> 00:13:14,240 Speaker 2: being that it's produced by the Obamas, as in the 253 00:13:14,320 --> 00:13:18,800 Speaker 2: Presidents Very responsible. There is, there is, there's Havana syndrome 254 00:13:18,840 --> 00:13:22,320 Speaker 2: references discussion of an evil cabal that runs the world 255 00:13:22,720 --> 00:13:25,840 Speaker 2: plans to collapse The United States and the two child 256 00:13:25,920 --> 00:13:29,920 Speaker 2: leads wear t shirts that read obey and NASA, respectively, 257 00:13:29,960 --> 00:13:31,880 Speaker 2: which has been the cause of a lot of discourse. 258 00:13:34,240 --> 00:13:39,080 Speaker 6: NASA, Yeah, the left's long term plan. 259 00:13:42,800 --> 00:13:45,680 Speaker 5: Look, several of the letters in NASA are also in Stalin. 260 00:13:45,720 --> 00:13:47,160 Speaker 5: Are you gonna tell me that's a coincidence? 261 00:13:47,960 --> 00:13:51,240 Speaker 2: Yeah? Probably, I will, I will now, I will now 262 00:13:51,360 --> 00:13:55,440 Speaker 2: share this, share this clip from Steve Bannon, who had 263 00:13:55,480 --> 00:13:58,520 Speaker 2: a Dutch far right e girl on his show to 264 00:13:58,600 --> 00:13:59,560 Speaker 2: discuss the movie. 265 00:14:00,200 --> 00:14:02,320 Speaker 3: He's doing good, then, So he's doing good. That's good. 266 00:14:02,760 --> 00:14:03,839 Speaker 3: I was worried about Steve. 267 00:14:05,160 --> 00:14:07,719 Speaker 7: Okay, So we see a movie here now that is 268 00:14:07,760 --> 00:14:12,200 Speaker 7: co produced by the Obamas about the potential potential cyber 269 00:14:12,320 --> 00:14:16,400 Speaker 7: attack which causes mayhem obviously, and I saw it and 270 00:14:16,440 --> 00:14:20,200 Speaker 7: it reminded me an awful lot of the narrative portrayed 271 00:14:20,240 --> 00:14:23,080 Speaker 7: in a video published about two years ago by the 272 00:14:23,080 --> 00:14:26,000 Speaker 7: World Economic Forum. And this was a video in which 273 00:14:26,040 --> 00:14:32,400 Speaker 7: they supposedly warned us for a cyber pandemic. Interesting choice 274 00:14:32,400 --> 00:14:35,960 Speaker 7: of words there, And they detail what could happen if 275 00:14:36,040 --> 00:14:38,600 Speaker 7: we are under a cyber attack, and that the only 276 00:14:38,680 --> 00:14:42,280 Speaker 7: way that we could solve an attack like that would 277 00:14:42,320 --> 00:14:46,120 Speaker 7: be to disconnect everything and everyone completely from the Internet. 278 00:14:46,600 --> 00:14:48,600 Speaker 3: So I figured this. 279 00:14:48,480 --> 00:14:52,400 Speaker 7: Seems to me like a classic case of predictive programming 280 00:14:52,800 --> 00:14:55,600 Speaker 7: where not just the World Economic Forum, but now also 281 00:14:55,720 --> 00:14:59,200 Speaker 7: through movies and you know, fictional stories, they are trying 282 00:14:59,240 --> 00:15:03,280 Speaker 7: to prepare public to the idea of cyber attacks and 283 00:15:03,320 --> 00:15:05,400 Speaker 7: the potential chaos that could come with that. 284 00:15:06,440 --> 00:15:09,560 Speaker 2: So that is that is her her big problems with 285 00:15:09,600 --> 00:15:11,400 Speaker 2: the movie, which we'll see we'll see echoed in a 286 00:15:11,400 --> 00:15:14,280 Speaker 2: lot of the people we talk about here with the 287 00:15:14,320 --> 00:15:18,360 Speaker 2: World Economic Forums warning about a big cyber attack. She 288 00:15:18,440 --> 00:15:21,400 Speaker 2: then went on to rant about the movies anti white sentiments, 289 00:15:21,440 --> 00:15:24,280 Speaker 2: probably from the Obama's involvement. 290 00:15:24,680 --> 00:15:26,840 Speaker 3: Clearly, yeah she has. 291 00:15:27,000 --> 00:15:29,720 Speaker 2: She has almost a million followers followers on Twitter. It 292 00:15:29,800 --> 00:15:34,000 Speaker 2: is wild also because she's Dutch. Her last name is 293 00:15:34,080 --> 00:15:39,720 Speaker 2: and I shit you not Vlardinger broke so great, great 294 00:15:39,720 --> 00:15:41,280 Speaker 2: stuff happening in the Dutch. 295 00:15:42,200 --> 00:15:43,520 Speaker 3: Yeah, what is that predicting? 296 00:15:43,960 --> 00:15:47,360 Speaker 2: For a summary of the movie, all at this conspiracy theory, 297 00:15:47,400 --> 00:15:50,960 Speaker 2: TikTok explain the basic themes that we'll be discussing here. 298 00:15:51,760 --> 00:15:54,440 Speaker 8: Essentially, the movie is about the downfall of civilization and 299 00:15:54,440 --> 00:15:56,560 Speaker 8: how it's done in three steps, her step being that 300 00:15:56,600 --> 00:15:58,640 Speaker 8: the government is going to be tappled from within the 301 00:15:58,720 --> 00:16:01,040 Speaker 8: next one that it's going to be literally with disinformation 302 00:16:01,120 --> 00:16:04,280 Speaker 8: and misinformation to confuse the masses and to create chaos. 303 00:16:04,280 --> 00:16:06,240 Speaker 8: The third step, if the first and second step are 304 00:16:06,240 --> 00:16:08,800 Speaker 8: done correctly, is going to cause basically a civil war, 305 00:16:08,880 --> 00:16:11,480 Speaker 8: causing the paranoid and problematic to start turning on each other. 306 00:16:11,480 --> 00:16:14,520 Speaker 8: The little girl is obsessed with the last episode of Friends, 307 00:16:14,560 --> 00:16:17,320 Speaker 8: called How It Ends, which is interesting because the star 308 00:16:17,440 --> 00:16:20,600 Speaker 8: of the movie, Julia Roberts, also dated Matthew Perry way 309 00:16:20,600 --> 00:16:23,720 Speaker 8: way back, Matthew Perry, who also passed away earlier this year. 310 00:16:23,760 --> 00:16:26,760 Speaker 8: The movie also references like billionaires and their bunkers, and 311 00:16:26,840 --> 00:16:30,360 Speaker 8: it references the Cabal on way more than one occasion. 312 00:16:30,440 --> 00:16:33,640 Speaker 8: The heart of it is that the cabal has fallen 313 00:16:33,760 --> 00:16:36,160 Speaker 8: and so nobody is in charge, and this is what's 314 00:16:36,240 --> 00:16:39,400 Speaker 8: leading to the fall of the United States of America. Essentially, 315 00:16:39,520 --> 00:16:42,720 Speaker 8: it has a very predictive programming feel to it, and 316 00:16:42,760 --> 00:16:45,720 Speaker 8: I mean with the Obamas and the constant references to water. 317 00:16:45,840 --> 00:16:48,480 Speaker 8: Planes crash in the water and a boat called the 318 00:16:48,480 --> 00:16:51,760 Speaker 8: White Lion runs up on shore from the ocean. Everybody 319 00:16:51,760 --> 00:16:54,360 Speaker 8: wants water, They're constantly drinking water. Here's some water you 320 00:16:54,360 --> 00:16:57,080 Speaker 8: want some water. Then the Obama chef just drowned. I 321 00:16:57,120 --> 00:17:00,880 Speaker 8: can't watch anything anymore. I can't enjoy any summon up. 322 00:17:00,880 --> 00:17:03,160 Speaker 8: The entire movie itself doesn't even have a plot. There's 323 00:17:03,240 --> 00:17:05,959 Speaker 8: no real storyline to this movie, and the ending is awful. 324 00:17:05,960 --> 00:17:08,400 Speaker 8: If I if I were not paying attention like I am, 325 00:17:08,720 --> 00:17:11,000 Speaker 8: I would think the movie would be terrible. There's no resolution, 326 00:17:11,080 --> 00:17:13,760 Speaker 8: there's no real start. It just seems like it's just here, 327 00:17:14,080 --> 00:17:16,760 Speaker 8: just here, it's just telling you and one more thing. 328 00:17:16,840 --> 00:17:19,600 Speaker 8: It talks about microwave e MP. 329 00:17:20,000 --> 00:17:22,560 Speaker 2: Like, Okay, that's that's. That's that. 330 00:17:25,200 --> 00:17:29,920 Speaker 5: Their brains are so melted that like they can't see 331 00:17:29,920 --> 00:17:32,440 Speaker 5: a movie made in the image of all of their 332 00:17:32,520 --> 00:17:35,400 Speaker 5: fears is made in the image of all their fears. 333 00:17:35,440 --> 00:17:39,320 Speaker 5: Like the whole it's so sunsettling. It doesn't even start properly. 334 00:17:39,400 --> 00:17:43,320 Speaker 5: It's just it just begins. You're just in it, like Noah, man, 335 00:17:43,359 --> 00:17:45,040 Speaker 5: that's it's kind of how a movie goes. 336 00:17:45,359 --> 00:17:47,159 Speaker 2: I like how she talks about she like she like 337 00:17:47,240 --> 00:17:50,359 Speaker 2: can't enjoy movies anymore, which is like the end result 338 00:17:50,400 --> 00:17:53,040 Speaker 2: of all these all these conspiracy theorists, like they just 339 00:17:53,320 --> 00:17:55,720 Speaker 2: they just can't enjoy life because they see everything as 340 00:17:55,720 --> 00:17:58,400 Speaker 2: this series of like interconnected incidents leading to some kind 341 00:17:58,400 --> 00:18:01,240 Speaker 2: of grand narrative that makes it impossible to like actually 342 00:18:01,280 --> 00:18:05,040 Speaker 2: like be happy, which is probably the funniest thing. Also 343 00:18:05,160 --> 00:18:08,520 Speaker 2: that she thinks the movie predicted the death of the 344 00:18:08,600 --> 00:18:11,560 Speaker 2: Obama's chef, which I don't don't know if that's real. 345 00:18:11,640 --> 00:18:13,920 Speaker 5: Yeah, if you're one of these people, that's the most 346 00:18:13,920 --> 00:18:16,880 Speaker 5: significant thing that's happened the last eighteen months. The Obama 347 00:18:17,000 --> 00:18:20,040 Speaker 5: chef and Matthew Perry are like the Rosetta Stone for 348 00:18:20,080 --> 00:18:23,479 Speaker 5: everything that's wrong in society, and not just two people 349 00:18:23,480 --> 00:18:25,120 Speaker 5: who died because it's a year. 350 00:18:25,320 --> 00:18:27,920 Speaker 2: Because Matthew Perry used to date Jessica Roberts, who's the 351 00:18:27,920 --> 00:18:30,440 Speaker 2: star of the Verbe, of course, and there's friends references 352 00:18:30,520 --> 00:18:33,040 Speaker 2: all throughout the film, so it's all connected. 353 00:18:32,840 --> 00:18:38,280 Speaker 5: Subtle friends' references, very subtleind you miss him if you 354 00:18:38,280 --> 00:18:39,080 Speaker 5: don't pay attention. 355 00:18:40,160 --> 00:18:44,159 Speaker 2: So the last conspiracy theorist want to talk about is 356 00:18:44,200 --> 00:18:50,240 Speaker 2: this like metaphysical influencer named Tristan Haggard who spends most 357 00:18:50,240 --> 00:18:53,880 Speaker 2: of his time on stream selling hormone supplements for men 358 00:18:53,960 --> 00:18:56,680 Speaker 2: so that they could boost their testosterone and stop being 359 00:18:56,720 --> 00:19:02,000 Speaker 2: soy boys. While discussing various conspiracies, love it, he says, 360 00:19:02,080 --> 00:19:07,120 Speaker 2: quote cyber attacks, bio warfare, weaponized limes disease, lone star tick, 361 00:19:07,720 --> 00:19:10,800 Speaker 2: chronic wasting, disease, things that get you to stop eating meat. 362 00:19:10,920 --> 00:19:15,400 Speaker 2: These things, these types of these types of programs are 363 00:19:15,440 --> 00:19:18,880 Speaker 2: seated throughout the film. I feel like the tick bite 364 00:19:18,920 --> 00:19:20,399 Speaker 2: and a lot of that stuff might have been a 365 00:19:20,400 --> 00:19:27,240 Speaker 2: little bit of that DARPA extracurricular script editions. Yeah, yeah, unquote. 366 00:19:26,280 --> 00:19:28,520 Speaker 5: Yeah, sure, yeah, of course. The fact that a kid 367 00:19:28,560 --> 00:19:30,480 Speaker 5: gets a bit by a tick and gets all fucked 368 00:19:30,560 --> 00:19:33,840 Speaker 5: up is like trying to stop you from eating a try. 369 00:19:33,720 --> 00:19:37,159 Speaker 2: To stop you from eating meat. Quote. I feel like 370 00:19:37,200 --> 00:19:40,520 Speaker 2: the average norm you might not put together the limes disease, 371 00:19:40,600 --> 00:19:47,399 Speaker 2: possible bioepon connection unquote amazing. Yeah, I don't think the 372 00:19:47,440 --> 00:19:50,359 Speaker 2: average normy might might not put that one together. 373 00:19:51,280 --> 00:19:53,040 Speaker 5: You know, that does suggest to me that all these 374 00:19:53,080 --> 00:19:55,800 Speaker 5: people are gonna die in thirty seconds if there's any 375 00:19:55,880 --> 00:19:59,000 Speaker 5: real kind of unrest because their attitude towards the idea 376 00:19:59,040 --> 00:20:01,280 Speaker 5: of disease that was planted by. 377 00:20:01,240 --> 00:20:02,320 Speaker 3: The New World Order. 378 00:20:03,160 --> 00:20:07,760 Speaker 2: Yeah, people won't get sick now. These two guys on 379 00:20:07,800 --> 00:20:10,080 Speaker 2: this stream also said that they they had to stop 380 00:20:10,119 --> 00:20:12,439 Speaker 2: watching mister Robot in the third season because there were 381 00:20:12,480 --> 00:20:16,240 Speaker 2: too many quote unquote gay scenes, which is really funny. 382 00:20:16,720 --> 00:20:18,520 Speaker 5: I had to stop watching it in this first season 383 00:20:18,560 --> 00:20:21,720 Speaker 5: because I don't like Remy Malick. But you know, see 384 00:20:21,760 --> 00:20:23,520 Speaker 5: I I are built different. 385 00:20:23,600 --> 00:20:26,280 Speaker 2: I had. I had to keep watching just for Christians later, 386 00:20:26,359 --> 00:20:27,159 Speaker 2: but that's just me. 387 00:20:27,720 --> 00:20:29,440 Speaker 3: He did make it hard to quit. 388 00:20:29,680 --> 00:20:43,600 Speaker 2: Yeah. Yeah, So most of the time these two guys 389 00:20:43,600 --> 00:20:46,400 Speaker 2: on their conspiracy podcast just complain about how Ethan Hawk 390 00:20:46,480 --> 00:20:48,679 Speaker 2: is a weak little soy boy, and all of the 391 00:20:49,200 --> 00:20:50,880 Speaker 2: and and and and all and all of the quote 392 00:20:50,920 --> 00:20:53,719 Speaker 2: unquote by POC people were more like put together and 393 00:20:53,760 --> 00:20:56,840 Speaker 2: more commanding. They constantly say bye Palk, which is an 394 00:20:56,840 --> 00:20:59,480 Speaker 2: interesting choice from that that is really fascinating. 395 00:21:00,000 --> 00:21:03,199 Speaker 5: Actually, since Marshall Ali's daughter isn't really a character in 396 00:21:03,240 --> 00:21:06,640 Speaker 5: that movie. Marsha law Ali is okay because he's a great, 397 00:21:07,200 --> 00:21:10,000 Speaker 5: great actor, but like, it's not like it's not like 398 00:21:10,359 --> 00:21:13,399 Speaker 5: all of the characters who aren't white or like written 399 00:21:13,720 --> 00:21:15,960 Speaker 5: stirringly well, most of the characters of this movie are 400 00:21:15,960 --> 00:21:19,320 Speaker 5: written like dog shit eates things. 401 00:21:19,440 --> 00:21:24,560 Speaker 2: Yeah, but Tristan here says, quote there's so much predictive 402 00:21:24,600 --> 00:21:27,720 Speaker 2: programming and social engineering of how the mechanics of possible 403 00:21:27,720 --> 00:21:30,680 Speaker 2: collapse of the power grid, collapse and the communications would 404 00:21:30,680 --> 00:21:34,159 Speaker 2: result in basically chaos. And then I have I have 405 00:21:34,200 --> 00:21:37,600 Speaker 2: this little clip here of him talking about the big 406 00:21:37,680 --> 00:21:38,919 Speaker 2: cyber attack. 407 00:21:39,119 --> 00:21:40,399 Speaker 9: Right now, a lot of people are saying, well, this 408 00:21:40,440 --> 00:21:43,080 Speaker 9: is predictive programming. They're going to do this cyber attack. 409 00:21:43,119 --> 00:21:44,600 Speaker 9: And you know, we've been talking about this type of 410 00:21:44,600 --> 00:21:48,479 Speaker 9: stuff for years, right with the cyber Polygon exercises and 411 00:21:48,520 --> 00:21:53,680 Speaker 9: the World Economic Forum, and you're working with U defense 412 00:21:54,400 --> 00:21:58,440 Speaker 9: contractors in military intelligence was not working on the possible 413 00:21:58,480 --> 00:22:01,560 Speaker 9: scenario of a cyber attack, right The cyber attack is 414 00:22:01,560 --> 00:22:04,760 Speaker 9: one of these scenarios that they're saying it's gotta happen. 415 00:22:04,840 --> 00:22:08,000 Speaker 9: It's coming, the big cyber attacks coming. But I feel 416 00:22:08,000 --> 00:22:11,960 Speaker 9: like films like this the intention could be to make 417 00:22:11,960 --> 00:22:15,040 Speaker 9: people so afraid of just the mere possibility of a 418 00:22:15,080 --> 00:22:15,960 Speaker 9: total collapse like. 419 00:22:16,040 --> 00:22:19,720 Speaker 2: This, so they obviously sound like they know what they're 420 00:22:19,760 --> 00:22:23,880 Speaker 2: talking about there. That's very very very polished. Now Tristan 421 00:22:23,960 --> 00:22:28,840 Speaker 2: thinks that he has a better idea to kind of 422 00:22:28,880 --> 00:22:31,840 Speaker 2: seed collapse quote. A better way to implement this would 423 00:22:31,880 --> 00:22:34,200 Speaker 2: be to not really roll out a huge wide scale 424 00:22:34,200 --> 00:22:37,560 Speaker 2: power outages and communications outages but make it up protracted, 425 00:22:37,720 --> 00:22:40,359 Speaker 2: small and localized so that you can still maintain a 426 00:22:40,359 --> 00:22:43,280 Speaker 2: certain level of propaganda and control and then create enough 427 00:22:43,320 --> 00:22:47,119 Speaker 2: fear to where people will accept the mandatory digital ID 428 00:22:47,400 --> 00:22:51,160 Speaker 2: for the Internet and the Central Bank digital currencies and whatnot. 429 00:22:51,560 --> 00:22:53,920 Speaker 2: It's like a limited type of thing, a regional type 430 00:22:53,920 --> 00:22:56,000 Speaker 2: of thing that then is hyped up to be the 431 00:22:56,040 --> 00:22:59,280 Speaker 2: worst thing ever unquote. These guys are really like talking 432 00:22:59,359 --> 00:23:03,119 Speaker 2: about this mandatory digital ID and the central bank digital 433 00:23:03,160 --> 00:23:06,960 Speaker 2: currencies as being this big threat and there's gonna just 434 00:23:07,000 --> 00:23:09,760 Speaker 2: be and any day this this this cyber attack which 435 00:23:09,800 --> 00:23:11,600 Speaker 2: is gonn, which is gonna force us to all adopt 436 00:23:11,640 --> 00:23:14,080 Speaker 2: this this uh, this digital ID to be able to 437 00:23:14,119 --> 00:23:15,160 Speaker 2: sign into the internet. 438 00:23:15,680 --> 00:23:16,120 Speaker 3: Quote. 439 00:23:16,400 --> 00:23:18,720 Speaker 2: All you have to do is have most of the 440 00:23:18,760 --> 00:23:22,120 Speaker 2: normal people afraid enough of the possible scenario and tease it. 441 00:23:22,119 --> 00:23:25,639 Speaker 2: It's almost like a cyber attack brinksmanship type of thing unquote, 442 00:23:25,960 --> 00:23:28,400 Speaker 2: so they think that, you know, you don't actually need 443 00:23:28,440 --> 00:23:30,240 Speaker 2: to have the cyber attack, You just need to have 444 00:23:30,240 --> 00:23:33,160 Speaker 2: people afraid enough that it could happen by by talking 445 00:23:33,240 --> 00:23:37,280 Speaker 2: about it in media, film, TV, you know, all all 446 00:23:37,359 --> 00:23:38,159 Speaker 2: this sort of stuff. 447 00:23:38,760 --> 00:23:42,040 Speaker 5: You can't even get people to like change their passwords like. 448 00:23:42,160 --> 00:23:45,800 Speaker 2: And it's so funny because like the past few months, 449 00:23:45,840 --> 00:23:47,600 Speaker 2: there actually has been a decent number of. 450 00:23:47,480 --> 00:23:50,320 Speaker 3: Cyber attacks constantly, yes, which are. 451 00:23:50,440 --> 00:23:52,800 Speaker 2: Yeah, like a very like a constant influx, which are 452 00:23:52,840 --> 00:23:55,360 Speaker 2: all just being constantly handled. And it's it's not led 453 00:23:55,400 --> 00:23:58,520 Speaker 2: to any of these massive apocalyptic scenarios that that that 454 00:23:58,520 --> 00:24:00,320 Speaker 2: they're talking about, know. 455 00:24:00,680 --> 00:24:02,639 Speaker 5: I mean, like the movie has part of how the 456 00:24:02,640 --> 00:24:05,080 Speaker 5: movie has to make this, like has to make it, 457 00:24:05,359 --> 00:24:07,040 Speaker 5: Like why the movie is set in the middle of 458 00:24:07,080 --> 00:24:09,040 Speaker 5: nowhere is that if it's set in a city and 459 00:24:09,080 --> 00:24:11,920 Speaker 5: the internet goes out, the way people would actually respond 460 00:24:12,280 --> 00:24:14,159 Speaker 5: would be like the way they respond when there's just 461 00:24:14,200 --> 00:24:18,160 Speaker 5: some sort of random outage initially like like oh shit, 462 00:24:18,240 --> 00:24:19,919 Speaker 5: my phone doesn't work right now, I guess I've got 463 00:24:19,960 --> 00:24:23,120 Speaker 5: to figure something else out for a second. Like it's 464 00:24:23,280 --> 00:24:27,920 Speaker 5: it's easier to have it seem disconnected and like completely 465 00:24:27,960 --> 00:24:30,960 Speaker 5: disorienting when you have everybody like out in the middle 466 00:24:31,040 --> 00:24:34,080 Speaker 5: of nowhere without other people around to make shit makes sense. 467 00:24:35,320 --> 00:24:37,520 Speaker 2: I'm going to play Well one more clip from from 468 00:24:37,600 --> 00:24:39,000 Speaker 2: Tristan's livestream here. 469 00:24:40,240 --> 00:24:42,040 Speaker 10: I feel like, well, also, I mean they haven't they've 470 00:24:42,119 --> 00:24:46,680 Speaker 10: been building all of this technocracy stuff to throw it away. Thanks, Right, 471 00:24:46,720 --> 00:24:49,960 Speaker 10: they've been building it to implement it, so if there 472 00:24:50,160 --> 00:24:53,480 Speaker 10: was an outage or the cyber attack or whatever, this 473 00:24:53,520 --> 00:24:56,800 Speaker 10: would be some temporary, limited thing, you know, hyped up 474 00:24:56,800 --> 00:24:59,960 Speaker 10: into oblivion and oh it was all the Trump maga people, 475 00:25:00,320 --> 00:25:02,119 Speaker 10: or it was all the Christians that did it to 476 00:25:02,200 --> 00:25:04,560 Speaker 10: go working with Russia. Right, that's what they're gonna say. 477 00:25:05,160 --> 00:25:09,479 Speaker 2: Yeah, yeah, totally. They're gonna blame the big cyber attack 478 00:25:09,560 --> 00:25:13,840 Speaker 2: on the Trump Christians. That's Timby, who's gonna who's gonna 479 00:25:13,880 --> 00:25:14,919 Speaker 2: launch the big attack? 480 00:25:15,160 --> 00:25:18,320 Speaker 6: Totally absolutely to everyone will assume knew how to do 481 00:25:18,600 --> 00:25:25,280 Speaker 6: hack is the Trumpers. Yeah, we taught him how to 482 00:25:25,359 --> 00:25:27,440 Speaker 6: change the settings on their smart TV. 483 00:25:27,880 --> 00:25:29,520 Speaker 3: And now they've hacked the planet. 484 00:25:29,760 --> 00:25:32,360 Speaker 2: What do you do? As as soon as you turn 485 00:25:32,400 --> 00:25:35,040 Speaker 2: off motion smoothing, then you're ready to go. They're gonna 486 00:25:35,080 --> 00:25:39,280 Speaker 2: hack the system, get in, shut everything down. Oh so 487 00:25:40,000 --> 00:25:42,680 Speaker 2: this Tristan guy was getting like hundreds of dollars in 488 00:25:42,720 --> 00:25:45,520 Speaker 2: super chats on this stream. He's he's verified on YouTube. 489 00:25:45,520 --> 00:25:48,439 Speaker 2: He has over one hundred thousand subscribers, and he is 490 00:25:48,440 --> 00:25:52,480 Speaker 2: one of the has some of the like not not 491 00:25:52,760 --> 00:25:55,399 Speaker 2: very hidden anti Semitism, but like I am kind of 492 00:25:55,440 --> 00:25:57,879 Speaker 2: surprised that he's able to say as much as he 493 00:25:58,000 --> 00:26:00,639 Speaker 2: is while still being verified and getting all this money, 494 00:26:00,840 --> 00:26:03,160 Speaker 2: because he has this line towards the end of his 495 00:26:03,240 --> 00:26:06,000 Speaker 2: of his stream quote, the little girl is inside the 496 00:26:06,000 --> 00:26:08,000 Speaker 2: house with the bunker that everyone else was trying to 497 00:26:08,000 --> 00:26:10,920 Speaker 2: go to, and she's sitting at the table surrounded by 498 00:26:11,119 --> 00:26:14,720 Speaker 2: like goy slop. She's just got all the freaking kibble 499 00:26:14,760 --> 00:26:18,480 Speaker 2: foods like Funians and Doritos. She's having a feast of gluttony. 500 00:26:18,720 --> 00:26:23,159 Speaker 2: It's all freaking globo homo kibble, fruity pebbles and stuff. 501 00:26:23,359 --> 00:26:26,360 Speaker 2: She's just gluttonously consuming a bunch of you know, trash 502 00:26:26,480 --> 00:26:30,200 Speaker 2: processed foods. She's just all alone, just looking kind of autistic. 503 00:26:30,400 --> 00:26:35,200 Speaker 2: Unquote what the fuck? So, Yeah, he's just talking about 504 00:26:35,200 --> 00:26:37,720 Speaker 2: like goy slop. Like there's like the like like the 505 00:26:37,840 --> 00:26:40,320 Speaker 2: Jews are creating junk food to pacify. 506 00:26:40,520 --> 00:26:42,360 Speaker 3: I want you to eat worms and stuff. 507 00:26:42,560 --> 00:26:47,560 Speaker 2: Yeah, exactly. So that that is most of most of 508 00:26:47,960 --> 00:26:51,679 Speaker 2: his interesting opinions. I'll leave the world behind a pretty 509 00:26:51,720 --> 00:26:52,800 Speaker 2: a pretty bad movie. 510 00:26:53,320 --> 00:26:54,720 Speaker 3: A pretty bad movie. 511 00:26:55,040 --> 00:26:57,800 Speaker 5: You know, there's one real conspiracy theory about it, and 512 00:26:57,840 --> 00:27:00,880 Speaker 5: it has nothing to do with the Obamas or predict programming, 513 00:27:01,320 --> 00:27:03,720 Speaker 5: we see a character at the beginning of the movie, 514 00:27:04,160 --> 00:27:07,320 Speaker 5: a survivalist prepping to take care of his family even 515 00:27:07,359 --> 00:27:10,359 Speaker 5: though no one knows a disastro is coming. And later 516 00:27:10,520 --> 00:27:12,920 Speaker 5: near the end of the movie, when Ethan Hawk's son 517 00:27:13,040 --> 00:27:16,080 Speaker 5: is sick, we meet the survivalist again. It turns out 518 00:27:16,119 --> 00:27:17,880 Speaker 5: he's a handyman who lives in the edge of town, 519 00:27:18,080 --> 00:27:21,919 Speaker 5: and he's played by Kevin Bacon now Garrison. In the 520 00:27:22,000 --> 00:27:27,480 Speaker 5: classic film Trimmers, Kevin Bacon plays a handyman character who 521 00:27:27,520 --> 00:27:31,000 Speaker 5: with his friend Earl Bassett played by Fred Ward, has 522 00:27:31,080 --> 00:27:35,600 Speaker 5: to fight off an attack by subterranean ancient giant worm 523 00:27:35,680 --> 00:27:39,320 Speaker 5: beasts in order to save himself in his small community 524 00:27:39,520 --> 00:27:43,439 Speaker 5: and Dune in just like Dune Garrison and in the 525 00:27:43,520 --> 00:27:47,560 Speaker 5: Lore of the Trimmers movies Val McKee. Kevin Bacon's character 526 00:27:47,960 --> 00:27:50,440 Speaker 5: is not seen in further movies because he gets rich 527 00:27:50,680 --> 00:27:53,520 Speaker 5: and he marries Ronda le Beck and they move off somewhere. 528 00:27:53,600 --> 00:27:56,560 Speaker 5: Maybe they move to the northeast to an island off 529 00:27:56,600 --> 00:27:59,879 Speaker 5: the coast of the East Coast, where he bought a 530 00:28:00,080 --> 00:28:04,400 Speaker 5: house and became a survivalist prepper, informed by his experiences 531 00:28:04,440 --> 00:28:07,959 Speaker 5: with his good friend Bert Gummer. The local survivalist who 532 00:28:08,040 --> 00:28:11,600 Speaker 5: shot a giant worm to death and maybe leave the 533 00:28:11,600 --> 00:28:15,359 Speaker 5: world behind, as a stealth sequel to the first Trimmers movie, 534 00:28:15,560 --> 00:28:18,440 Speaker 5: showing what Kevin Bacon's character does later in life. 535 00:28:18,880 --> 00:28:21,280 Speaker 2: I would be so much more of a fan of 536 00:28:21,320 --> 00:28:23,600 Speaker 2: Sam s Mill if he if he tried to, if 537 00:28:23,600 --> 00:28:27,080 Speaker 2: he tried to put the Tremor's movies into the canon 538 00:28:27,119 --> 00:28:28,920 Speaker 2: of mister Robot like. 539 00:28:28,920 --> 00:28:30,639 Speaker 5: It would have been, It would have been perfect. I 540 00:28:30,640 --> 00:28:33,440 Speaker 5: would have completely changed my opinion on this movie. He 541 00:28:33,520 --> 00:28:35,359 Speaker 5: shout up to Kevin Bacon's house and he'd come out 542 00:28:35,359 --> 00:28:37,080 Speaker 5: with a gun, and they'd been like, look, we just 543 00:28:37,160 --> 00:28:39,360 Speaker 5: need some antibiotics. And He's like antibiotics, what about the 544 00:28:39,400 --> 00:28:42,360 Speaker 5: fucking worms? How are you people walking around? And then 545 00:28:42,360 --> 00:28:44,680 Speaker 5: the movie ends. At the end of the movie, it 546 00:28:44,720 --> 00:28:46,000 Speaker 5: was all a Trimmer's sequel. 547 00:28:46,240 --> 00:28:51,600 Speaker 2: You you you Korean Iranian terrorists went into the wrong reckcrooit. 548 00:28:54,480 --> 00:28:57,360 Speaker 2: So I lastly just want to talk a little bit 549 00:28:57,400 --> 00:28:59,640 Speaker 2: about some of like, you know, the obvious problems with 550 00:28:59,680 --> 00:29:03,040 Speaker 2: this diictive programming idea. Right, it completely annoys the fact 551 00:29:03,120 --> 00:29:05,800 Speaker 2: that humans use art as a form of cultural creation, 552 00:29:06,000 --> 00:29:10,160 Speaker 2: like we imagine futures in our art, specifically because they 553 00:29:10,160 --> 00:29:11,960 Speaker 2: could come into being. Like a lot of a lot 554 00:29:11,960 --> 00:29:15,320 Speaker 2: of like sci fi that influences technology comes from this. 555 00:29:16,120 --> 00:29:18,760 Speaker 2: That's also kind of the basis of Mark Fisher and 556 00:29:19,000 --> 00:29:22,840 Speaker 2: Nick Lan's like a cultural hyperstition where you specifically make 557 00:29:22,960 --> 00:29:25,000 Speaker 2: art to have this larger cultural effect that then it 558 00:29:25,040 --> 00:29:27,240 Speaker 2: can bring things into being as opposed to the more 559 00:29:27,280 --> 00:29:31,360 Speaker 2: like individualistic use of like occultism. And then a big, 560 00:29:31,480 --> 00:29:33,760 Speaker 2: a big part of all of this, this predictive programming 561 00:29:33,800 --> 00:29:36,000 Speaker 2: thing is also just like apaphenia, right It's it's people 562 00:29:36,120 --> 00:29:39,200 Speaker 2: creating connections and patterns and random data because it's it's 563 00:29:39,280 --> 00:29:43,200 Speaker 2: actually easy to look back and pick out past media 564 00:29:43,200 --> 00:29:45,920 Speaker 2: that has seemingly predicted events, but it's much harder to 565 00:29:45,920 --> 00:29:49,080 Speaker 2: identify current media that is actually predicting future events. 566 00:29:49,160 --> 00:29:49,320 Speaker 8: Right. 567 00:29:49,560 --> 00:29:51,680 Speaker 2: This is this is a part of hindsight bias. The 568 00:29:52,040 --> 00:29:53,880 Speaker 2: tendency that we have to look at past events is 569 00:29:53,920 --> 00:29:57,120 Speaker 2: more predictable than what they actually were. It is it's 570 00:29:57,160 --> 00:30:00,440 Speaker 2: a common psychological response to a traumatic event like like 571 00:30:00,520 --> 00:30:04,200 Speaker 2: a big pandemic or a school shooting. There's also you know, 572 00:30:04,480 --> 00:30:07,200 Speaker 2: all of these all of these predictive programming theories fall 573 00:30:07,240 --> 00:30:11,320 Speaker 2: into these kind of contradictory depictions, which is why the 574 00:30:11,440 --> 00:30:13,920 Speaker 2: which is why the Hunger Games guy like uh calls 575 00:30:13,960 --> 00:30:18,360 Speaker 2: it like reverse symbolism. Right, it's it's if this if 576 00:30:18,560 --> 00:30:21,280 Speaker 2: if predictive programming is orchestrated by a shadowy cabal seeking 577 00:30:21,280 --> 00:30:25,600 Speaker 2: to implement a totalitarian takeover by normalizing an incredibly oppressive government. Uh, 578 00:30:25,800 --> 00:30:28,600 Speaker 2: in media and film TV, why is the said media 579 00:30:28,640 --> 00:30:31,920 Speaker 2: almost exclusively about like rebel heroes overthrowing and evil to 580 00:30:31,960 --> 00:30:34,920 Speaker 2: talitarian government. Right, it doesn't, it doesn't actually match. And 581 00:30:34,960 --> 00:30:37,320 Speaker 2: there's been a lot of like cultural studies showing that 582 00:30:38,360 --> 00:30:41,520 Speaker 2: whether you portray something in media as positive or negative 583 00:30:41,720 --> 00:30:46,160 Speaker 2: will strongly affect the audience's takeaway of the stimulus. So 584 00:30:46,240 --> 00:30:48,920 Speaker 2: if you show something positively, they're more like they're more 585 00:30:48,960 --> 00:30:50,960 Speaker 2: likely to view it as a positive thing. If you 586 00:30:51,000 --> 00:30:53,360 Speaker 2: show something negatively, they're more likely to view it as 587 00:30:53,360 --> 00:30:55,560 Speaker 2: a negative thing. Right, this this, this sounds very obvious, 588 00:30:55,560 --> 00:30:56,960 Speaker 2: but you do have to do like social science to 589 00:30:56,960 --> 00:31:00,520 Speaker 2: actually like show this is a real pattern. And then finally, 590 00:31:00,560 --> 00:31:04,160 Speaker 2: I will I will end this by quoting from that 591 00:31:04,160 --> 00:31:07,680 Speaker 2: that article from the Ohio State University quote. There are 592 00:31:07,720 --> 00:31:09,920 Speaker 2: a few purposes for predictive programming, and not all of 593 00:31:09,960 --> 00:31:12,520 Speaker 2: them have to deal with tyranny. Some of them are 594 00:31:12,560 --> 00:31:14,640 Speaker 2: meant to lessen the blow of an event like nine 595 00:31:14,640 --> 00:31:17,360 Speaker 2: to eleven or as previously mentioned, at the Sandy Hook shootings. 596 00:31:17,800 --> 00:31:21,400 Speaker 2: The contradiction arises when thinking about why the government would 597 00:31:21,400 --> 00:31:23,560 Speaker 2: want to warn us or prepare us for Sandy Hook. 598 00:31:23,760 --> 00:31:26,280 Speaker 2: The whole point of Sandy Hook conspiracies is to doubt 599 00:31:26,320 --> 00:31:29,520 Speaker 2: the event even happened, so the government would create a 600 00:31:29,560 --> 00:31:32,960 Speaker 2: conversation around gun control. This would defeat the purpose of 601 00:31:33,000 --> 00:31:35,880 Speaker 2: staging it if the government was trying to ensure a 602 00:31:36,000 --> 00:31:40,760 Speaker 2: smaller or inexistent response unquote. Especially like looking back at 603 00:31:40,800 --> 00:31:43,720 Speaker 2: what we talked about with like the Simpsons, it's just 604 00:31:43,760 --> 00:31:46,120 Speaker 2: a fun game people play, right Like it sounds like 605 00:31:46,160 --> 00:31:48,800 Speaker 2: a fun a fun world to live in. If you 606 00:31:48,840 --> 00:31:51,800 Speaker 2: can imagine this interconnected web connecting every single thing that 607 00:31:51,880 --> 00:31:55,280 Speaker 2: happens to your own experiences, it's it's it's it's a 608 00:31:55,280 --> 00:31:58,880 Speaker 2: way to turn turn the world into like this, this 609 00:31:58,960 --> 00:32:01,600 Speaker 2: great mystery that you can instead of just like experiences 610 00:32:01,600 --> 00:32:02,440 Speaker 2: that you have to live through. 611 00:32:03,480 --> 00:32:05,080 Speaker 4: These people need real hobbies. 612 00:32:05,720 --> 00:32:08,840 Speaker 2: Like Finally, the thing I wanted to mention is that 613 00:32:09,560 --> 00:32:13,200 Speaker 2: the the upcoming discussion of predictive programming is all centered 614 00:32:13,240 --> 00:32:16,560 Speaker 2: around this movie coming out next month called Civil War, 615 00:32:18,440 --> 00:32:21,720 Speaker 2: which many many of these people in their discussion of 616 00:32:21,800 --> 00:32:25,200 Speaker 2: Leave the World Behind are are are very much talking 617 00:32:25,240 --> 00:32:27,960 Speaker 2: about how Civil War just seems like a sequel to 618 00:32:28,040 --> 00:32:30,600 Speaker 2: Leave the World Behind, because Leave the World Behind seems 619 00:32:30,640 --> 00:32:32,920 Speaker 2: like it's set up like a possible American civil war, 620 00:32:33,200 --> 00:32:36,040 Speaker 2: and how this upcoming movie is itself going to be 621 00:32:36,320 --> 00:32:41,320 Speaker 2: a massive predictive programming operation to prepare American citizens for 622 00:32:41,480 --> 00:32:44,760 Speaker 2: civil conflict with each other. So have fun seeing a 623 00:32:44,760 --> 00:32:47,920 Speaker 2: whole bunch of conspiracy theories develop around this movie that 624 00:32:48,000 --> 00:32:49,040 Speaker 2: comes out next month. 625 00:32:50,000 --> 00:32:51,720 Speaker 3: Yeah, that'll be that'll be good. 626 00:32:51,840 --> 00:32:54,760 Speaker 5: I mean, I wish people would start some conspiracy theories around. 627 00:32:54,800 --> 00:32:59,200 Speaker 5: Alex Garland's TV showed Devs, which is dog shit also 628 00:32:59,560 --> 00:33:02,320 Speaker 5: and and one of the one of the worst uses 629 00:33:02,360 --> 00:33:04,400 Speaker 5: of that guy from Parks and rec that I've seen 630 00:33:04,440 --> 00:33:08,920 Speaker 5: in a long time, heartbreaking. They use math to see 631 00:33:08,920 --> 00:33:10,000 Speaker 5: the past, Garrison. 632 00:33:10,960 --> 00:33:12,680 Speaker 2: That kind of reminds me of this movie I watched 633 00:33:12,720 --> 00:33:17,480 Speaker 2: for research called Knowing with with Nick Cage, who finds 634 00:33:17,520 --> 00:33:19,920 Speaker 2: a piece of paper that has something that's able to 635 00:33:20,040 --> 00:33:24,000 Speaker 2: predict like catastrophic events. Alex Jones saw this movie predicted 636 00:33:24,000 --> 00:33:26,560 Speaker 2: an oil rig explosion in the Gulf of Mexico. But 637 00:33:26,640 --> 00:33:29,840 Speaker 2: besides that, you don't see it. You don't really see 638 00:33:29,880 --> 00:33:32,200 Speaker 2: it much in these in these circles, despite its very 639 00:33:32,280 --> 00:33:35,040 Speaker 2: like obvious, like predictive focus. 640 00:33:35,400 --> 00:33:35,640 Speaker 1: Yeah. 641 00:33:35,680 --> 00:33:39,400 Speaker 5: Mostly Dev's features a bunch of very good actors standing 642 00:33:39,480 --> 00:33:42,080 Speaker 5: around and staring at a screen where a grainy picture 643 00:33:42,120 --> 00:33:46,080 Speaker 5: of Jesus from the past is lit up in like 644 00:33:46,200 --> 00:33:50,440 Speaker 5: movie theater size screens like it's it's it's very it's 645 00:33:50,520 --> 00:33:52,960 Speaker 5: very mid. That's what I'm saying about DEVS. It's pretty mid. 646 00:33:53,000 --> 00:33:54,200 Speaker 5: Folks don't watch DEVS. 647 00:33:54,440 --> 00:33:56,800 Speaker 2: Yeah, I mean, same same thing with this Obama movie. 648 00:33:56,840 --> 00:33:59,600 Speaker 2: So yeah, watch out for the Obama's new movies, which 649 00:33:59,640 --> 00:34:02,400 Speaker 2: are all to seed the collapse of humanity, as well 650 00:34:02,400 --> 00:34:05,440 Speaker 2: as the A twenty four, the A War movie, which 651 00:34:05,480 --> 00:34:09,279 Speaker 2: is probably devious in some way, so have fun with that. 652 00:34:09,840 --> 00:34:10,040 Speaker 8: You know. 653 00:34:11,000 --> 00:34:13,920 Speaker 5: I'll say this, Barack Obama, it's not his fault, obviously 654 00:34:14,080 --> 00:34:16,160 Speaker 5: that a bunch of racists lost their mind when he 655 00:34:16,200 --> 00:34:19,640 Speaker 5: became president. But knowing that it was kind of responsible 656 00:34:19,680 --> 00:34:24,200 Speaker 5: for him to make his debut movie production a movie 657 00:34:24,320 --> 00:34:29,080 Speaker 5: about a cabal taking over the government using secret weapons. 658 00:34:29,120 --> 00:34:32,560 Speaker 3: Absolutely you knew what was going to happen. Barack you're 659 00:34:32,600 --> 00:34:33,480 Speaker 3: not a dumb man. 660 00:34:33,680 --> 00:34:35,760 Speaker 5: Tell me that's not what was going to happen. 661 00:34:36,080 --> 00:34:39,440 Speaker 2: Absolutely all right, Well, I think that does it for 662 00:34:39,520 --> 00:34:47,200 Speaker 2: us today. Have fun predicting the end of this episode. 663 00:34:49,320 --> 00:34:51,680 Speaker 1: It Could Happen here as a production of cool Zone Media. 664 00:34:51,920 --> 00:34:54,600 Speaker 1: For more podcasts from cool Zone Media, visit our website 665 00:34:54,640 --> 00:34:56,840 Speaker 1: cool zonemedia dot com, or check us out on the 666 00:34:56,880 --> 00:35:00,000 Speaker 1: iHeartRadio app, Apple Podcasts, or wherever you listen to podcast 667 00:35:00,680 --> 00:35:02,800 Speaker 1: You can find sources for It could Happen Here, updated 668 00:35:02,920 --> 00:35:06,960 Speaker 1: monthly at coolzonemedia dot com slash sources. Thanks for listening.