1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:24,560 Speaker 1: learn the stuff they don't want you to know. M Hello, 4 00:00:24,600 --> 00:00:26,720 Speaker 1: welcome back to the show. My name is Matt. They 5 00:00:26,800 --> 00:00:29,440 Speaker 1: called me Ben. We are joined with our super producer, 6 00:00:29,840 --> 00:00:35,199 Speaker 1: Paul the Paul the Predictor decond. Okay, we got a shrug. 7 00:00:35,320 --> 00:00:38,120 Speaker 1: We're joining with Paul the Predictor deck end. Most importantly, 8 00:00:38,159 --> 00:00:41,000 Speaker 1: you are you, and you are here, and that makes 9 00:00:41,080 --> 00:00:45,080 Speaker 1: this stuff they don't want you to know. We predict 10 00:00:45,360 --> 00:00:49,040 Speaker 1: you will find this episode fascinating. Oh yeah, we can 11 00:00:49,080 --> 00:00:51,080 Speaker 1: already tell this is going to be your favorite episode 12 00:00:51,120 --> 00:00:53,560 Speaker 1: that's come out in a long time. We've already read 13 00:00:53,600 --> 00:00:56,880 Speaker 1: some of your emails. Thank you for those. It's really 14 00:00:56,960 --> 00:00:59,800 Speaker 1: kind what you said about this episode. We and um, 15 00:00:59,840 --> 00:01:02,840 Speaker 1: you know, we look forward to your next ones, right, 16 00:01:03,280 --> 00:01:08,559 Speaker 1: both represented in fiction and in real life. I don't 17 00:01:08,560 --> 00:01:11,880 Speaker 1: know if we can continue this this trope for the 18 00:01:11,880 --> 00:01:15,160 Speaker 1: whole show man, What do you think we're just being silly, 19 00:01:15,720 --> 00:01:19,440 Speaker 1: We're just we're just having a goof Do people still 20 00:01:19,480 --> 00:01:22,800 Speaker 1: say that having a goof? Of? Course? Great? Because if not, 21 00:01:22,880 --> 00:01:29,080 Speaker 1: we're bringing it back. This episode is about somewhat of 22 00:01:29,160 --> 00:01:34,679 Speaker 1: a meta conspiracy, a conspiracy about conspiracies, for lack of 23 00:01:34,680 --> 00:01:38,200 Speaker 1: a better term, or a technique that has attributed to 24 00:01:38,280 --> 00:01:44,280 Speaker 1: a lot of specific theories. And oddly enough, there's a 25 00:01:44,400 --> 00:01:47,240 Speaker 1: very strong basis in truth in this, which I think 26 00:01:47,280 --> 00:01:50,640 Speaker 1: surprised both of us. There is a little bit of 27 00:01:50,680 --> 00:01:56,160 Speaker 1: truth in a way, but it's um, yeah, it's one 28 00:01:56,200 --> 00:01:58,680 Speaker 1: of those things where it's so prevalent. This what we're 29 00:01:58,680 --> 00:02:01,960 Speaker 1: speaking about today. Just say what it is a predictive 30 00:02:02,000 --> 00:02:06,880 Speaker 1: programming and it's so prevalent on the Internet when anything occurs. 31 00:02:07,480 --> 00:02:12,160 Speaker 1: There is so much media that exists and so many 32 00:02:12,240 --> 00:02:17,000 Speaker 1: things happening that when you find the little connective tissues, 33 00:02:17,600 --> 00:02:20,679 Speaker 1: there's always that Eureka moment and it just happens all 34 00:02:20,720 --> 00:02:24,320 Speaker 1: the time. Now maybe, yeah, maybe we get into this 35 00:02:24,440 --> 00:02:29,440 Speaker 1: too with an anecdote. Several years ago, you and I 36 00:02:29,520 --> 00:02:35,919 Speaker 1: made a video about the Illuminati card game. Yes, yes, 37 00:02:36,280 --> 00:02:39,960 Speaker 1: and in the Illuminati Card Game, uh, there are there 38 00:02:39,960 --> 00:02:44,240 Speaker 1: are certain cards that people who believe in predictive programming 39 00:02:44,600 --> 00:02:49,679 Speaker 1: have pointed to as evidence of this practice. I think 40 00:02:49,720 --> 00:02:53,280 Speaker 1: specifically the Twin Towers. The Twin Towers was one about 41 00:02:53,280 --> 00:02:55,960 Speaker 1: a terrorist attack. There were so many though Deep Water 42 00:02:56,040 --> 00:03:00,639 Speaker 1: Horizon from was one and again in that video. Oh, 43 00:03:00,800 --> 00:03:02,680 Speaker 1: I guess do we want to spoil any of that 44 00:03:02,760 --> 00:03:05,000 Speaker 1: right now? About kind of what we found out about 45 00:03:05,000 --> 00:03:08,080 Speaker 1: the card game? Oh yeah, go ahead, laid up. Okay. 46 00:03:08,120 --> 00:03:10,640 Speaker 1: So there have been so many versions of that card 47 00:03:10,680 --> 00:03:13,359 Speaker 1: game over the years. The cards have shifted and changed 48 00:03:13,360 --> 00:03:16,800 Speaker 1: a little bit, the artwork has been altered. Exactly what 49 00:03:16,919 --> 00:03:20,320 Speaker 1: stated on the cards has been altered. And then when 50 00:03:20,360 --> 00:03:24,639 Speaker 1: you're online and you have people posting images about you know, here, 51 00:03:24,680 --> 00:03:26,960 Speaker 1: look at this card from this game that came out 52 00:03:27,280 --> 00:03:32,240 Speaker 1: in nineties something. Uh, you know, it predicted the World 53 00:03:32,240 --> 00:03:34,800 Speaker 1: Trade Center because of this card when an actuality that 54 00:03:34,960 --> 00:03:40,320 Speaker 1: card was referring to the original World Trade Center bombing 55 00:03:40,640 --> 00:03:44,000 Speaker 1: which occurred in the nineties, and then and or it 56 00:03:44,080 --> 00:03:49,080 Speaker 1: was changed now because of other you know, circumstances, things 57 00:03:49,080 --> 00:03:51,520 Speaker 1: that actually occurred in the real world after it was 58 00:03:51,560 --> 00:03:54,400 Speaker 1: put out. It's just interesting how things shift over time, 59 00:03:54,400 --> 00:03:57,200 Speaker 1: and when it's posted on the internet, it could be 60 00:03:57,600 --> 00:04:02,040 Speaker 1: from any time throughout the span of cards history. Oh, 61 00:04:02,120 --> 00:04:06,400 Speaker 1: we should also point out that it's a fun game game. 62 00:04:06,440 --> 00:04:09,200 Speaker 1: I I was so happy because you introduced me to it, 63 00:04:09,400 --> 00:04:11,760 Speaker 1: and I'm going to owe you for that one. Also, 64 00:04:11,920 --> 00:04:15,920 Speaker 1: I was thinking, should we play that game with with 65 00:04:15,920 --> 00:04:18,120 Speaker 1: with you friends and neighbors if we ever run into 66 00:04:18,160 --> 00:04:21,960 Speaker 1: each other in real life? Or Matt, should you and 67 00:04:22,040 --> 00:04:25,680 Speaker 1: Paul and Nolan I make a game of our own? 68 00:04:26,160 --> 00:04:28,039 Speaker 1: We could. We can make a game of our own. 69 00:04:28,400 --> 00:04:30,600 Speaker 1: We could live stream it. Stuff they don't want you 70 00:04:30,680 --> 00:04:33,599 Speaker 1: to play. I don't know, I don't know. We'll we'll 71 00:04:33,640 --> 00:04:36,920 Speaker 1: put a pen in that. But but yeah, So that's 72 00:04:36,920 --> 00:04:40,560 Speaker 1: a that's a great example of an allegation of predictive programming. 73 00:04:41,400 --> 00:04:44,360 Speaker 1: Here's what we mean specifically when we say there's a 74 00:04:44,400 --> 00:04:48,200 Speaker 1: basis in truth. In decades past, the US government would 75 00:04:48,240 --> 00:04:51,039 Speaker 1: assemble groups of people to help them predict the direction 76 00:04:51,400 --> 00:04:57,400 Speaker 1: of future technological breakthroughs. And they consulted scientists and technocrats, 77 00:04:57,600 --> 00:05:01,880 Speaker 1: but they also asked science fiction wighters to join in 78 00:05:02,400 --> 00:05:06,040 Speaker 1: this think tankery. And several of these writers, it turns out, 79 00:05:06,080 --> 00:05:10,159 Speaker 1: had already successfully predicted the broad strokes of a certain 80 00:05:10,200 --> 00:05:14,400 Speaker 1: aspect of technological progress or social changes, and they had 81 00:05:14,400 --> 00:05:17,680 Speaker 1: depicted these events in works of fiction. Yeah, and for 82 00:05:17,720 --> 00:05:20,120 Speaker 1: a lot of people, this is just it speaks to 83 00:05:20,160 --> 00:05:24,160 Speaker 1: the human imagination. What can what images and ideas can 84 00:05:24,200 --> 00:05:28,520 Speaker 1: we conjure in our heads before it becomes reality, and um, 85 00:05:28,560 --> 00:05:32,640 Speaker 1: it's really honestly, it's it's inspiring and our species ability 86 00:05:32,680 --> 00:05:36,880 Speaker 1: to dream beyond the limits of this moment of what's 87 00:05:36,880 --> 00:05:39,680 Speaker 1: occurring right now and things that I can possibly do 88 00:05:40,120 --> 00:05:43,720 Speaker 1: today to what I could do in the future because 89 00:05:43,760 --> 00:05:47,320 Speaker 1: of X. I mean, that's incredible. That's what separates us. Well, 90 00:05:47,400 --> 00:05:48,680 Speaker 1: there are a lot of things that separate us, but 91 00:05:48,720 --> 00:05:50,920 Speaker 1: that's one of the major things that separates us from 92 00:05:50,920 --> 00:05:54,440 Speaker 1: other mammals. You're giving me chills. That is inspiring, especially 93 00:05:54,480 --> 00:05:57,400 Speaker 1: the way you put it there. It is. It is 94 00:05:57,440 --> 00:06:00,880 Speaker 1: one of the primary separations. But it's not all like 95 00:06:02,320 --> 00:06:04,920 Speaker 1: angel farts and trumpets in the sky. You know. There 96 00:06:04,960 --> 00:06:08,239 Speaker 1: there's a dark side that people see here because for others, 97 00:06:08,560 --> 00:06:12,640 Speaker 1: this story of sci fi collaboration is only scratching the surface. 98 00:06:12,800 --> 00:06:17,520 Speaker 1: It's a relatively benign example of a much more widespread 99 00:06:17,560 --> 00:06:21,520 Speaker 1: and according to them, sinister practice. Fringe researchers across the 100 00:06:21,600 --> 00:06:25,120 Speaker 1: US and the globe believe that nefarious, hidden groups are 101 00:06:25,160 --> 00:06:29,760 Speaker 1: guiding the public through the use of this predictive programming. 102 00:06:30,080 --> 00:06:33,280 Speaker 1: So let's look at the facts. When we look at 103 00:06:33,320 --> 00:06:37,159 Speaker 1: the idea of fiction, whether an Illuminati game or a 104 00:06:37,200 --> 00:06:42,360 Speaker 1: film depicting actual events in the future. We see two 105 00:06:42,680 --> 00:06:46,920 Speaker 1: fundamental factors of play immediately. Yeah. The first is what 106 00:06:46,960 --> 00:06:50,039 Speaker 1: the creators are trying to do. It's it's not a 107 00:06:50,080 --> 00:06:54,800 Speaker 1: secret that people who write screenplays and write books, of 108 00:06:54,880 --> 00:06:59,680 Speaker 1: directors of television and movie, they often are attempting to 109 00:06:59,720 --> 00:07:02,200 Speaker 1: depict what they think the future is going to look like, 110 00:07:02,240 --> 00:07:06,400 Speaker 1: what might happen in the future. If you think about 111 00:07:07,800 --> 00:07:12,160 Speaker 1: the novel or Brave New World, these are two cautionary 112 00:07:12,200 --> 00:07:15,960 Speaker 1: tales very different from each other and also quite similar. 113 00:07:16,480 --> 00:07:20,840 Speaker 1: Um they're they're meant to educate as much as they're 114 00:07:20,880 --> 00:07:24,800 Speaker 1: meant to warn and entertain. There they function on a 115 00:07:24,800 --> 00:07:29,240 Speaker 1: whole lot of levels. Yeah. Yeah, Four is one of 116 00:07:29,280 --> 00:07:33,960 Speaker 1: those books that, even after having read it multiple times, 117 00:07:34,480 --> 00:07:36,920 Speaker 1: I still don't know if I would say I'm entertained 118 00:07:36,920 --> 00:07:39,640 Speaker 1: by it, you know what I mean? Sure, it definitely 119 00:07:39,720 --> 00:07:42,920 Speaker 1: airs more on the cautionary tale side, but you're you're 120 00:07:42,920 --> 00:07:45,520 Speaker 1: absolutely right. I think that's such a great point. These 121 00:07:45,920 --> 00:07:49,480 Speaker 1: authors and these creators are not working in a vacuum. 122 00:07:49,560 --> 00:07:53,240 Speaker 1: They are attempting to enact some sort of change in 123 00:07:53,280 --> 00:07:56,760 Speaker 1: the world, whether it's just making the world one story better, 124 00:07:57,200 --> 00:07:59,720 Speaker 1: or one story richer or whatever we want to say 125 00:07:59,760 --> 00:08:01,840 Speaker 1: about or as in the case of a brave, brave 126 00:08:01,920 --> 00:08:08,840 Speaker 1: New World, it's the question of dufftow entertained too much? Yes, yes, 127 00:08:09,640 --> 00:08:14,840 Speaker 1: and these authors could also depict something more aspirational, like 128 00:08:14,880 --> 00:08:18,600 Speaker 1: what the future of humanity could be if we ever, 129 00:08:18,880 --> 00:08:21,200 Speaker 1: you know, get our collective business together. I'm talking about 130 00:08:21,200 --> 00:08:24,960 Speaker 1: Star Trek. I'm talking about Star Trek, Matt Man. Star 131 00:08:25,040 --> 00:08:29,960 Speaker 1: Trek tng was the thing they like made me go, okay, 132 00:08:30,000 --> 00:08:31,960 Speaker 1: we're gonna be okay. The future is going to be 133 00:08:32,000 --> 00:08:35,439 Speaker 1: an amazing place. I can't wait to get there. Right, 134 00:08:35,600 --> 00:08:40,280 Speaker 1: it's a it's a post scarcity economy, right, there's there's 135 00:08:40,320 --> 00:08:44,959 Speaker 1: not income inequality, and the species spends its time exploring 136 00:08:45,480 --> 00:08:51,240 Speaker 1: strange new worlds and attempting to enrich their knowledge of 137 00:08:51,400 --> 00:08:54,360 Speaker 1: the galaxy and the beautiful universe in which we live. 138 00:08:54,640 --> 00:08:58,640 Speaker 1: Also having more or less constant war or uneasy truces 139 00:08:58,720 --> 00:09:01,559 Speaker 1: with various alien and hires. Probably a story for a 140 00:09:01,600 --> 00:09:05,920 Speaker 1: different episode, but yeah, Star Trek aspirational. Imagine what we 141 00:09:05,960 --> 00:09:09,679 Speaker 1: could be exactly, and then you could even have a holidack. 142 00:09:10,320 --> 00:09:14,240 Speaker 1: I mean, come on, that's what it was for, you know. 143 00:09:14,480 --> 00:09:18,319 Speaker 1: It was it was the big picture stuff. I hated 144 00:09:18,320 --> 00:09:21,199 Speaker 1: the holiday episodes. Yeah, you know, I always felt like 145 00:09:21,240 --> 00:09:24,520 Speaker 1: I was getting tricked. I felt, you know, this is 146 00:09:24,559 --> 00:09:28,040 Speaker 1: just my opinion, one person's opinion, and I would love 147 00:09:28,080 --> 00:09:30,960 Speaker 1: to hear everybody else's opinion on this. I felt it 148 00:09:31,120 --> 00:09:36,120 Speaker 1: felt as if the actors were pushing this on the 149 00:09:36,160 --> 00:09:38,920 Speaker 1: writers and the producers and saying, well, you know, I've 150 00:09:40,280 --> 00:09:46,000 Speaker 1: I've done some Shakespeare before. You're talking specifically about El Capitan, right, 151 00:09:46,280 --> 00:09:48,240 Speaker 1: I don't know, I don't you know, I don't know 152 00:09:48,320 --> 00:09:52,280 Speaker 1: who it was. I feel like I have suspicions, but 153 00:09:52,360 --> 00:09:56,360 Speaker 1: I can't pin it on any single actor. And maybe 154 00:09:56,400 --> 00:09:58,880 Speaker 1: it was just maybe it just felt like a bait 155 00:09:58,920 --> 00:10:01,680 Speaker 1: and switch. Yeah, it's a I think it's a writing 156 00:10:01,679 --> 00:10:06,360 Speaker 1: device that the people in the writer's room can go, Wow, 157 00:10:06,400 --> 00:10:08,839 Speaker 1: we've been stuck on this enterprise for a long time 158 00:10:08,840 --> 00:10:13,079 Speaker 1: in all these episodes. Let's let's do a Western. Yeah. 159 00:10:13,160 --> 00:10:15,200 Speaker 1: It could be that. It could also be something, as 160 00:10:15,240 --> 00:10:18,319 Speaker 1: you know, these are big machines. Every television show is 161 00:10:18,320 --> 00:10:20,960 Speaker 1: a huge machine of its own, So it could have 162 00:10:21,040 --> 00:10:25,000 Speaker 1: been something behind the scenes where they said, okay, look 163 00:10:25,320 --> 00:10:29,800 Speaker 1: we have this leftover set for show that didn't get used. 164 00:10:30,720 --> 00:10:34,720 Speaker 1: We have to use it. And sorry, Star trek TNG, 165 00:10:35,720 --> 00:10:38,320 Speaker 1: you drew the short straw this time. So writer's room, 166 00:10:38,440 --> 00:10:42,320 Speaker 1: chop chop uh something something with the Holida deck or 167 00:10:42,360 --> 00:10:45,480 Speaker 1: maybe this sets about to get torn down. Hey, writer's 168 00:10:45,520 --> 00:10:48,960 Speaker 1: let's find a way to use it quick. We we 169 00:10:49,040 --> 00:10:51,840 Speaker 1: have spent a lot of time thinking about thinking about this. 170 00:10:52,400 --> 00:10:56,760 Speaker 1: You know, I bet someone out there has a has 171 00:10:56,880 --> 00:11:00,240 Speaker 1: the real scoop the street poop, as we might say 172 00:11:00,520 --> 00:11:04,760 Speaker 1: on on the the origin of those Hollow Deck episodes. 173 00:11:04,840 --> 00:11:08,240 Speaker 1: But there is another thing that comes into play when 174 00:11:08,240 --> 00:11:13,200 Speaker 1: we consider this idea of fiction purposefully predicting actual events 175 00:11:13,200 --> 00:11:16,160 Speaker 1: in the future, usually bad ones, and that is the 176 00:11:16,920 --> 00:11:22,040 Speaker 1: dangerous deceptive traits of the human mind. Yeah, it's not 177 00:11:22,120 --> 00:11:25,960 Speaker 1: just the people creating the fiction and the entertainment. It's 178 00:11:26,040 --> 00:11:30,360 Speaker 1: the people who are consuming it, actively watching and hearing it. Right. 179 00:11:30,400 --> 00:11:33,840 Speaker 1: And there's this assumption that is so prevalent in the 180 00:11:33,880 --> 00:11:39,760 Speaker 1: past and today that goes like this, Someone watching a 181 00:11:39,920 --> 00:11:44,040 Speaker 1: film or reading a book, even to a lesser degree, 182 00:11:44,360 --> 00:11:49,000 Speaker 1: is passively experiencing the vision or the creation that the 183 00:11:49,120 --> 00:11:54,800 Speaker 1: author made or the director made, or whoever. But in actuality, 184 00:11:55,280 --> 00:12:02,560 Speaker 1: all audience members are collaborators. Whether it's a piece of 185 00:12:02,679 --> 00:12:06,040 Speaker 1: art like a sculpture, whether it's a television show, whether 186 00:12:06,080 --> 00:12:10,400 Speaker 1: it's a book. We are helping to create the story 187 00:12:10,520 --> 00:12:15,760 Speaker 1: by the mere act of observing and interpreting it. What 188 00:12:15,760 --> 00:12:18,800 Speaker 1: what this all means is that people are really self 189 00:12:18,840 --> 00:12:24,440 Speaker 1: obsessed pathologically, And don't beat yourself up. And if you 190 00:12:24,480 --> 00:12:27,720 Speaker 1: feel like this is an unfair characterization, or if you 191 00:12:27,800 --> 00:12:30,600 Speaker 1: feel bad and you think, oh, I'm a little bit narcissistic, 192 00:12:30,640 --> 00:12:36,240 Speaker 1: because everybody is. Everybody is, and where all the main 193 00:12:36,320 --> 00:12:39,120 Speaker 1: characters of our own stories, the center of our individual 194 00:12:39,200 --> 00:12:43,280 Speaker 1: universe is the protagonist around which this great world swings. 195 00:12:43,559 --> 00:12:48,000 Speaker 1: In addition to this, we're also fantastically talented analyzers and 196 00:12:48,040 --> 00:12:51,880 Speaker 1: pattern recognizers. It's one of the reasons our species runs 197 00:12:52,080 --> 00:12:55,400 Speaker 1: so much of the planet rather than say an octopus 198 00:12:55,559 --> 00:13:01,120 Speaker 1: race or a super intelligent empire of corvids. You know, 199 00:13:01,920 --> 00:13:03,760 Speaker 1: I want to see those. I would be super in 200 00:13:03,880 --> 00:13:08,280 Speaker 1: the crows that run the world. I don't know why 201 00:13:08,520 --> 00:13:11,360 Speaker 1: that's supposed to be a coca in the distance? It worked, 202 00:13:11,640 --> 00:13:19,240 Speaker 1: I heard it. Are we predictively programming? Yes? So this 203 00:13:19,360 --> 00:13:22,240 Speaker 1: is this is dangerous because with this perspective right as 204 00:13:22,240 --> 00:13:25,439 Speaker 1: a starting point, we can make two assumptions. We will 205 00:13:25,480 --> 00:13:29,080 Speaker 1: say a pattern exists because we perceive it to exist, 206 00:13:30,200 --> 00:13:32,880 Speaker 1: and because we are the most important thing in our experience. 207 00:13:33,080 --> 00:13:36,920 Speaker 1: Every pattern we perceive inherently in some way applies to us. 208 00:13:38,480 --> 00:13:41,280 Speaker 1: One thing that people don't like to hear in general 209 00:13:41,840 --> 00:13:44,040 Speaker 1: is that there's something big going on and it has 210 00:13:44,080 --> 00:13:47,160 Speaker 1: nothing to do with you. Yeah, you know what I mean. 211 00:13:47,600 --> 00:13:51,640 Speaker 1: I mean that's why so much scientific literature became so controversial. 212 00:13:51,720 --> 00:13:55,440 Speaker 1: Charles Darwin when he releases The Origin on the Origin 213 00:13:55,480 --> 00:14:00,679 Speaker 1: of Species in eighteen fifty nine, he's saying, Oh, no, humans, 214 00:14:00,720 --> 00:14:04,520 Speaker 1: you're not special, You're just you're You're part of a thing. 215 00:14:04,840 --> 00:14:07,600 Speaker 1: We're part of a pattern, part of a pattern that 216 00:14:07,679 --> 00:14:11,440 Speaker 1: has existed long before you and will continue long after 217 00:14:11,559 --> 00:14:14,520 Speaker 1: you are dust. Yeah, And you're like, yeah, whatever, Darwin, 218 00:14:14,559 --> 00:14:20,720 Speaker 1: Get out of here, right, go back to looking at islands. Yeah, 219 00:14:20,880 --> 00:14:24,440 Speaker 1: get back on the beagle. But that's the that's the problem. 220 00:14:24,520 --> 00:14:29,040 Speaker 1: And without delving too far into the weeds on this, 221 00:14:29,840 --> 00:14:33,560 Speaker 1: it essentially means that you and i' and Paul and 222 00:14:33,600 --> 00:14:38,680 Speaker 1: everyone we're we are neither neutral creators nor are we 223 00:14:38,760 --> 00:14:43,240 Speaker 1: a neutral audience. And we're at an impasse because if 224 00:14:43,400 --> 00:14:51,000 Speaker 1: no one's objective, then where's the truth? Ultimately? Oh man, 225 00:14:51,080 --> 00:14:56,680 Speaker 1: this sounds like an even bigger episode. So all right, yeah, 226 00:14:56,720 --> 00:15:00,160 Speaker 1: I'll buy what's going on. Just talking about the nature 227 00:15:00,160 --> 00:15:02,600 Speaker 1: of truth. We touch on it every once in a 228 00:15:02,640 --> 00:15:06,880 Speaker 1: while when we get into discussing sources of news, but 229 00:15:07,120 --> 00:15:09,960 Speaker 1: when you really think about it this way, from from 230 00:15:09,960 --> 00:15:15,160 Speaker 1: that deep of a psychological perspective, who makes the mind 231 00:15:15,240 --> 00:15:20,160 Speaker 1: wander a bit? Yes, And we know that this pattern 232 00:15:20,400 --> 00:15:24,440 Speaker 1: recognition can also be used to make the mind wander 233 00:15:25,040 --> 00:15:30,280 Speaker 1: because we're, in addition to being um endearingly self obsessed, 234 00:15:30,600 --> 00:15:35,680 Speaker 1: we are also big fans of following rituals and cues 235 00:15:35,720 --> 00:15:39,480 Speaker 1: and social worries. The more patterns to recognize, and we're 236 00:15:39,520 --> 00:15:45,120 Speaker 1: easily swayed by subtle changes in routine or form. There's 237 00:15:45,160 --> 00:15:48,080 Speaker 1: a great there's a great book called The Illuminatous Trilogy, 238 00:15:48,080 --> 00:15:50,240 Speaker 1: which I think we've talked about before, and I just 239 00:15:50,240 --> 00:15:52,120 Speaker 1: want to put this in because it's one reference to 240 00:15:53,080 --> 00:15:56,360 Speaker 1: this kind of social hacking. That's where the Illuminati game 241 00:15:56,440 --> 00:15:59,240 Speaker 1: finds its origins. By the way, Oh yeah, no way, really, 242 00:15:59,760 --> 00:16:04,760 Speaker 1: that's cool. So this novel, which is incredibly incredibly long, 243 00:16:04,920 --> 00:16:08,720 Speaker 1: presented as as a trilogy of smaller works. It depicts 244 00:16:09,320 --> 00:16:13,000 Speaker 1: a number of things and rather convoluted plot, and we 245 00:16:13,040 --> 00:16:15,600 Speaker 1: don't want to spoil it for you, but there is 246 00:16:15,680 --> 00:16:20,800 Speaker 1: one scene in there where someone changes or adds to 247 00:16:21,320 --> 00:16:24,920 Speaker 1: the signs at this department store, a relatively high end 248 00:16:24,920 --> 00:16:29,360 Speaker 1: department store that has something like, you know, the kind 249 00:16:29,360 --> 00:16:31,280 Speaker 1: of thing you would read outside of a fitting room, 250 00:16:31,320 --> 00:16:33,320 Speaker 1: like wait for an intendant to help you or something. 251 00:16:33,480 --> 00:16:37,440 Speaker 1: The addition they make is they just put no spitting. Okay, 252 00:16:38,280 --> 00:16:40,920 Speaker 1: so well, I mean, nobody wants to do that anyway 253 00:16:41,120 --> 00:16:43,560 Speaker 1: we want to spit, No one should be. But the 254 00:16:43,600 --> 00:16:47,640 Speaker 1: hack about it, the subtle change in that form, makes 255 00:16:47,680 --> 00:16:51,080 Speaker 1: people think this is a place of a much lower 256 00:16:51,400 --> 00:16:55,760 Speaker 1: socio economic class. This is a place where people are 257 00:16:55,840 --> 00:16:59,400 Speaker 1: just spitting on the floor, you know, like a roadhouse 258 00:16:59,440 --> 00:17:03,120 Speaker 1: in a movie. This was a work of fiction, but 259 00:17:03,360 --> 00:17:06,880 Speaker 1: this kind of stuff can work, and can work really well. 260 00:17:08,000 --> 00:17:11,320 Speaker 1: This also goes into the nature of propaganda. But the 261 00:17:11,400 --> 00:17:13,600 Speaker 1: question is how how far does this sort of stuff go? 262 00:17:13,960 --> 00:17:19,080 Speaker 1: Could some groups or groups really be normalizing future events 263 00:17:19,440 --> 00:17:25,960 Speaker 1: through the lens of mass media and fiction, And if so, why, yeah, why, 264 00:17:26,440 --> 00:17:28,160 Speaker 1: We're going to talk about that right after a quick 265 00:17:28,200 --> 00:17:37,960 Speaker 1: word from our sponsor. Here's where it gets crazy. Alan 266 00:17:38,000 --> 00:17:42,880 Speaker 1: Watt described predictive programming as a subtle form of psychological 267 00:17:42,920 --> 00:17:46,440 Speaker 1: conditioning provided by the media to acquaint the public with 268 00:17:46,520 --> 00:17:50,680 Speaker 1: planned societal changes to be implemented by our leaders. If 269 00:17:50,840 --> 00:17:54,000 Speaker 1: and when these changes are put through, the public will 270 00:17:54,040 --> 00:17:56,919 Speaker 1: already be familiarized with them and will accept them as 271 00:17:57,000 --> 00:18:04,960 Speaker 1: natural progressions, thus lessening possible public resistance and commotion. When 272 00:18:05,000 --> 00:18:08,200 Speaker 1: I when I hear the words of Alan Wad, I 273 00:18:08,280 --> 00:18:12,800 Speaker 1: always feel that there is truth there. It just sounds 274 00:18:12,840 --> 00:18:16,159 Speaker 1: like there is Again, it's about how he writes h 275 00:18:16,240 --> 00:18:19,840 Speaker 1: and how he how he how he spoke. But what 276 00:18:19,920 --> 00:18:23,199 Speaker 1: I'm hearing here is something that I've heard for a 277 00:18:23,200 --> 00:18:28,960 Speaker 1: long time about the concept of aliens and the concept 278 00:18:29,080 --> 00:18:34,680 Speaker 1: that movies and television and novels for decades and decades 279 00:18:34,680 --> 00:18:42,080 Speaker 1: have been prepping humans to to accept that aliens have 280 00:18:42,119 --> 00:18:47,880 Speaker 1: invaded or to accept alien races from other planets, extraterrestrials 281 00:18:48,200 --> 00:18:52,200 Speaker 1: to being a part of our world. And um, and again, 282 00:18:52,280 --> 00:18:55,920 Speaker 1: when you put it in that way, our leaders subtly 283 00:18:56,040 --> 00:19:01,600 Speaker 1: psychologically conditioning us. UM. I don't know. It almost sounds 284 00:19:01,640 --> 00:19:06,199 Speaker 1: like it could be real. Yeah you think so. I 285 00:19:06,200 --> 00:19:11,320 Speaker 1: I love that it sounds like I think you're bringing 286 00:19:11,400 --> 00:19:17,040 Speaker 1: up a really crucial point here. One of the primary 287 00:19:17,080 --> 00:19:21,080 Speaker 1: examples of predictive programming that the advocates of this belief 288 00:19:21,160 --> 00:19:24,840 Speaker 1: point out is almost always going to be extraterrestrial stuff, right, 289 00:19:24,960 --> 00:19:29,320 Speaker 1: like a slow, decade long preparation for disclosure. Hey guys, 290 00:19:29,400 --> 00:19:34,040 Speaker 1: Spielberg was right, aliens are around. We thought the best 291 00:19:34,080 --> 00:19:36,720 Speaker 1: way to tell you instead of just ripping the mand 292 00:19:36,720 --> 00:19:38,680 Speaker 1: aid off, we we thought we would tell you over 293 00:19:38,960 --> 00:19:41,840 Speaker 1: over like sixty years. Get used to it, get you know, 294 00:19:43,080 --> 00:19:47,560 Speaker 1: settle in, settle into this tub of weirdness slowly. Well yeah, 295 00:19:47,600 --> 00:19:52,120 Speaker 1: that way the reaction is um, you know less, oh 296 00:19:52,160 --> 00:19:59,600 Speaker 1: my god, and it's more like, oh wow, cool. I 297 00:19:59,600 --> 00:20:02,040 Speaker 1: think I think that's the whole point. If you believe this. 298 00:20:02,080 --> 00:20:04,640 Speaker 1: To be sure, millions of people waiting to go I 299 00:20:04,720 --> 00:20:08,200 Speaker 1: knew it. Yes, we knew it the whole time. So 300 00:20:08,280 --> 00:20:11,160 Speaker 1: what are some other examples of this? Oh? There are 301 00:20:11,920 --> 00:20:14,520 Speaker 1: so stink and many of these. Okay, let's start with 302 00:20:15,040 --> 00:20:18,720 Speaker 1: the top one of this one. Ben, you put in 303 00:20:18,760 --> 00:20:21,800 Speaker 1: the outline first. But this is the one that I 304 00:20:21,840 --> 00:20:25,960 Speaker 1: thought about when we even said the phrase predicted programming, 305 00:20:26,280 --> 00:20:29,600 Speaker 1: And it's the pilot episode of The Lone Gunman, which 306 00:20:29,640 --> 00:20:31,600 Speaker 1: you know, if you were an X Files fan, you 307 00:20:31,640 --> 00:20:33,840 Speaker 1: know who the Lone Gunmen are. You watched The Lone 308 00:20:33,880 --> 00:20:36,440 Speaker 1: Gunman when it came out as a spinoff and it 309 00:20:36,520 --> 00:20:41,760 Speaker 1: was awesome. Uh. But in the pilot episode it features 310 00:20:41,800 --> 00:20:46,200 Speaker 1: as part of the plot and an attempted bombing or 311 00:20:46,359 --> 00:20:50,080 Speaker 1: destruction at least of the World Trade Center, the Twin Towers, 312 00:20:50,880 --> 00:20:57,080 Speaker 1: and specifically it was hijacked commercial airliner that would be 313 00:20:57,119 --> 00:20:59,680 Speaker 1: flown into the World Trade Center, and it was a 314 00:20:59,720 --> 00:21:02,480 Speaker 1: false flag attack by you know, this rogue group of 315 00:21:02,520 --> 00:21:08,520 Speaker 1: government officials. And you know, since that came out before 316 00:21:09,080 --> 00:21:12,840 Speaker 1: the September eleven, two thousand one attacks, this is looked 317 00:21:12,840 --> 00:21:19,240 Speaker 1: at as whoa, these guys knew something, right, they put 318 00:21:19,280 --> 00:21:21,679 Speaker 1: it out there. They're trying to warn us that this 319 00:21:21,760 --> 00:21:24,080 Speaker 1: was going to happen. And a lot of the speaking 320 00:21:24,119 --> 00:21:27,240 Speaker 1: about it early early on when it occurred was it 321 00:21:27,359 --> 00:21:31,120 Speaker 1: was a warning rather than a um a predictive program 322 00:21:31,119 --> 00:21:33,320 Speaker 1: and getting you used to it, it was like somebody 323 00:21:33,359 --> 00:21:37,600 Speaker 1: is trying to tell us that this is going to happen. Yeah, yeah, yeah. 324 00:21:37,720 --> 00:21:43,560 Speaker 1: And this is, as you said, incredibly prevalent example. It 325 00:21:43,600 --> 00:21:47,560 Speaker 1: gets brought up continually, but it's not the only example right. 326 00:21:47,720 --> 00:21:53,040 Speaker 1: Oh no, there was one that we found referencing the 327 00:21:53,080 --> 00:21:56,560 Speaker 1: film The Dark Knight Rises by Christopher Nolan. There's a 328 00:21:56,640 --> 00:21:59,520 Speaker 1: map in The Dark Knight Rises that has a location 329 00:21:59,680 --> 00:22:05,280 Speaker 1: mark Sandy Hook. Yes, Commissioner Gordon's going over the attack 330 00:22:05,359 --> 00:22:09,280 Speaker 1: plan for you know, going in. It's it's the scene 331 00:22:09,359 --> 00:22:13,199 Speaker 1: right before they actually go into the stadium for one 332 00:22:13,200 --> 00:22:16,320 Speaker 1: of the big climactic scenes. There spoiler alert for The 333 00:22:16,400 --> 00:22:19,919 Speaker 1: Dark Knight Rises. But yeah, there's a map and it 334 00:22:20,000 --> 00:22:23,159 Speaker 1: does say Sandy Hook on it, so that one is 335 00:22:23,240 --> 00:22:29,760 Speaker 1: not nearest persuasive though, because Sandy Hook is a place. Yes. Yes, 336 00:22:30,200 --> 00:22:32,440 Speaker 1: the reason why it's weird because it says strike Zone 337 00:22:32,520 --> 00:22:35,800 Speaker 1: one and it came you know. Usually what this has 338 00:22:35,840 --> 00:22:38,879 Speaker 1: to do with our release dates. We have proximity of 339 00:22:38,920 --> 00:22:42,679 Speaker 1: release dates being before you know, and let's say some 340 00:22:42,840 --> 00:22:47,439 Speaker 1: given time frame a year or two or even months. 341 00:22:47,520 --> 00:22:53,439 Speaker 1: Sometimes again that's the nature of the perception. Yes, we 342 00:22:53,560 --> 00:22:58,880 Speaker 1: found the pattern. And another example would be Family Guy. 343 00:22:59,280 --> 00:23:04,359 Speaker 1: A Family Guy is replete with cutaway jokes and tangents 344 00:23:04,400 --> 00:23:07,560 Speaker 1: that don't really go anywhere. It's just a it's a 345 00:23:07,640 --> 00:23:12,840 Speaker 1: quick bit. But there's an episode or a gag in 346 00:23:12,880 --> 00:23:16,720 Speaker 1: a Family Guy episode rather that concerns the Boston Marathon. Yeah, 347 00:23:16,800 --> 00:23:21,640 Speaker 1: it's an episode called Turban Cowboy that that came out, 348 00:23:22,359 --> 00:23:25,400 Speaker 1: and there's a scene in it, or let's let's say 349 00:23:25,400 --> 00:23:28,440 Speaker 1: it a scene or breakaway, a cutaway to a quick 350 00:23:28,480 --> 00:23:31,760 Speaker 1: thing where Peter Griffin wins the Boston Marathon by driving 351 00:23:31,800 --> 00:23:35,000 Speaker 1: his car through all of the other competitors and kills 352 00:23:35,040 --> 00:23:37,399 Speaker 1: a whole bunch of people. And then later on in 353 00:23:37,440 --> 00:23:40,520 Speaker 1: the episode you might know this just from the or 354 00:23:40,560 --> 00:23:43,760 Speaker 1: you might glean it from the title Turban Cowboy, Peter 355 00:23:43,840 --> 00:23:48,399 Speaker 1: accidentally joins up with a terrorist cell and he uses 356 00:23:48,440 --> 00:23:51,959 Speaker 1: a cell phone to call his buddy moch Mood and 357 00:23:52,040 --> 00:23:55,639 Speaker 1: ends up setting off two bombs because he's using the 358 00:23:55,640 --> 00:23:58,320 Speaker 1: cell phone or whatever. You can also tell that family 359 00:23:58,359 --> 00:24:03,360 Speaker 1: guy has an ongoing tendency to be pretty racist racist, 360 00:24:03,600 --> 00:24:07,240 Speaker 1: and you know, yeah, they at least push the boundaries. 361 00:24:07,280 --> 00:24:11,440 Speaker 1: Let's say they push the boundaries creatively there right right, 362 00:24:11,560 --> 00:24:16,800 Speaker 1: And this, this example, of course, makes people believe in 363 00:24:16,800 --> 00:24:24,320 Speaker 1: predictive programming, think they were somehow depicting the later disasters 364 00:24:24,320 --> 00:24:28,359 Speaker 1: that would happen at the Boston Marathon. Yes, there's another 365 00:24:28,400 --> 00:24:33,040 Speaker 1: example with the movie knowing right that that you have 366 00:24:33,160 --> 00:24:36,960 Speaker 1: mentioned the Deep Water Horizon catastrophe at the top of 367 00:24:36,960 --> 00:24:39,480 Speaker 1: the episode. Knowing has something to do with this. Yeah, 368 00:24:39,560 --> 00:24:42,720 Speaker 1: So if you have not seen Knowing, it's a two 369 00:24:42,720 --> 00:24:46,959 Speaker 1: thousand nine Nick Cage movie, and it's all based on 370 00:24:47,200 --> 00:24:52,000 Speaker 1: predictive programming essentially, or a different version of predictive programming 371 00:24:52,520 --> 00:24:57,280 Speaker 1: UM numbers and codes hidden amongst things that mean other 372 00:24:57,400 --> 00:25:02,000 Speaker 1: things and predict the future h in in that movie. 373 00:25:02,560 --> 00:25:05,920 Speaker 1: Right in the opening scene, Nicholas Cage is watching television 374 00:25:06,040 --> 00:25:09,200 Speaker 1: and on the news comes this image and a news 375 00:25:09,200 --> 00:25:12,840 Speaker 1: story about an oil rig that's on fire in the 376 00:25:12,880 --> 00:25:16,480 Speaker 1: Gulf of Mexico. And again, this is a two thousand 377 00:25:16,560 --> 00:25:21,240 Speaker 1: nine movie. A year later, the Deepwater Horizon disaster occurs, 378 00:25:21,320 --> 00:25:24,160 Speaker 1: where an oil rig in the Gulf of Mexico explodes, 379 00:25:24,840 --> 00:25:29,080 Speaker 1: and I think eleven people were missing immediately when it occurred. 380 00:25:29,240 --> 00:25:32,919 Speaker 1: And if you were watching television at the time, immediately 381 00:25:32,960 --> 00:25:37,000 Speaker 1: when the news footage came out, it looks crazy similar 382 00:25:37,240 --> 00:25:39,639 Speaker 1: to the footage that's shown in the movie Knowing that 383 00:25:39,760 --> 00:25:45,919 Speaker 1: you might have seen. Okay, so this footage is just 384 00:25:46,160 --> 00:25:48,199 Speaker 1: is it a crucial part of the film or is 385 00:25:48,240 --> 00:25:51,520 Speaker 1: it something that just happens in the film. It's something 386 00:25:51,560 --> 00:25:54,639 Speaker 1: that happens within the first few moments, and it's literally 387 00:25:54,880 --> 00:25:58,439 Speaker 1: a television that's being shown. You know, the camera is 388 00:25:58,440 --> 00:26:01,639 Speaker 1: shooting a television showing the news. So it's not a 389 00:26:01,680 --> 00:26:03,879 Speaker 1: massive thing. It's just giving you kind of current events 390 00:26:04,359 --> 00:26:07,200 Speaker 1: setting up the story. Because all it is you could understand. 391 00:26:07,240 --> 00:26:11,879 Speaker 1: I could totally understand though, how somebody would be I 392 00:26:11,880 --> 00:26:14,399 Speaker 1: would see that in theaters and then see the evening 393 00:26:14,440 --> 00:26:17,399 Speaker 1: news later if they caught a matinee or something like that. 394 00:26:17,400 --> 00:26:21,439 Speaker 1: That's disturbing. Yeah, your your perspective is now Nicholas Cages 395 00:26:21,520 --> 00:26:24,240 Speaker 1: sitting on the couch or whatever watching the television that 396 00:26:24,280 --> 00:26:28,960 Speaker 1: you watched Nick Cage watch. I mean, I could you know, 397 00:26:29,000 --> 00:26:31,960 Speaker 1: I could see where that would be at least creepy 398 00:26:32,040 --> 00:26:37,159 Speaker 1: to people. Yeah. Absolutely. Oh but the you know, we 399 00:26:37,200 --> 00:26:41,160 Speaker 1: talked about Family Guy, but the granddaddy of Family Guy, 400 00:26:41,280 --> 00:26:46,080 Speaker 1: the Simpsons. They have an incredible track record of predicting 401 00:26:46,160 --> 00:26:50,480 Speaker 1: various future events and trends and things like this, And honestly, 402 00:26:50,520 --> 00:26:52,200 Speaker 1: it could be a whole episode of just hey, what 403 00:26:52,240 --> 00:26:55,280 Speaker 1: did the how did the Simpsons know that? Oh boy? Yeah, 404 00:26:55,400 --> 00:26:58,200 Speaker 1: and there's one that you had brought up off air 405 00:26:58,280 --> 00:27:01,040 Speaker 1: before too. Oh yeah, this is this is a great one. 406 00:27:01,480 --> 00:27:04,359 Speaker 1: And you'll find this all over the internet, mostly on 407 00:27:04,400 --> 00:27:07,080 Speaker 1: Facebook is where I've seen it, and a couple other 408 00:27:07,080 --> 00:27:11,640 Speaker 1: blog sites have reposted it. But it's the Donald Trump presidency. 409 00:27:12,000 --> 00:27:16,119 Speaker 1: There's so okay. On June, Donald Trump announced that he 410 00:27:16,160 --> 00:27:18,560 Speaker 1: was going to run for president, and you remember the 411 00:27:18,960 --> 00:27:22,439 Speaker 1: whole deal, coming down the escalator, waving to people, Um, 412 00:27:22,680 --> 00:27:26,040 Speaker 1: there are people on the balcony with signs. Well, according 413 00:27:26,080 --> 00:27:29,760 Speaker 1: to numerous posts in the year two thousand, the Simpsons 414 00:27:29,960 --> 00:27:32,240 Speaker 1: made this episode, which is true. They made an episode 415 00:27:32,240 --> 00:27:36,879 Speaker 1: called bart Bart to the Future, and according to these posts, 416 00:27:37,119 --> 00:27:39,720 Speaker 1: not only did they predict the Trump presidency, they also 417 00:27:39,840 --> 00:27:44,440 Speaker 1: predicted the exact way in which his campaign would be announced. Again, 418 00:27:44,520 --> 00:27:47,440 Speaker 1: everything from the people standing on the balconies with signs 419 00:27:47,800 --> 00:27:52,680 Speaker 1: to Donald Trump going down the escalator. It's uncanny, it's insane. 420 00:27:52,720 --> 00:27:58,160 Speaker 1: It's the exact same sequence. Here's the problem. And you'll 421 00:27:58,200 --> 00:28:01,240 Speaker 1: notice this if you if you actually watch a clip 422 00:28:01,480 --> 00:28:09,240 Speaker 1: from the supposed Simpsons video, the animation quality is very high, 423 00:28:09,320 --> 00:28:13,680 Speaker 1: and you imagine the animation quality, you know, let's say 424 00:28:14,040 --> 00:28:19,000 Speaker 1: fifteen years later at least so like compared to two thousand, 425 00:28:19,720 --> 00:28:24,520 Speaker 1: it changed a lot. And and then you do a 426 00:28:24,560 --> 00:28:27,480 Speaker 1: little digging, and then you realize all of these posts 427 00:28:27,920 --> 00:28:33,479 Speaker 1: are actually being taken from a July promotion of the 428 00:28:33,520 --> 00:28:38,680 Speaker 1: next Simpsons season, which specifically, um it's a video that 429 00:28:38,760 --> 00:28:41,720 Speaker 1: was posted to the YouTube channel and animation on Fox. 430 00:28:42,480 --> 00:28:45,520 Speaker 1: I was July seven when it was posted, and it's 431 00:28:45,520 --> 00:28:50,360 Speaker 1: called trump Atastic Voyage Season twenty five The Simpsons, and 432 00:28:50,480 --> 00:28:54,160 Speaker 1: what it is is a perfect recreation of the event 433 00:28:54,400 --> 00:28:57,520 Speaker 1: rather than a prediction of the announcement of what was 434 00:28:57,560 --> 00:29:00,080 Speaker 1: going to happen. But the really interesting thing is if 435 00:29:00,080 --> 00:29:02,880 Speaker 1: you go back to the two thousand episode The Bart 436 00:29:02,920 --> 00:29:08,840 Speaker 1: to the Future, there they do speak directly to Trump 437 00:29:08,920 --> 00:29:11,760 Speaker 1: being president, but it's just an aside. I think it's 438 00:29:11,800 --> 00:29:14,000 Speaker 1: Maggie who says this, Oh god, there's so much to 439 00:29:14,040 --> 00:29:15,880 Speaker 1: explain here. But it's in the future. It's like a 440 00:29:16,000 --> 00:29:19,080 Speaker 1: vision of the future within the world of The Simpsons. 441 00:29:19,440 --> 00:29:21,440 Speaker 1: And in this vision of the future, I want to say, 442 00:29:21,480 --> 00:29:25,040 Speaker 1: it's Maggie the you know baby but now grown up 443 00:29:25,040 --> 00:29:29,320 Speaker 1: who mentioned something about that, just some something about how 444 00:29:29,360 --> 00:29:33,200 Speaker 1: horrible the Trump legacy was. So they're trying to fix 445 00:29:33,440 --> 00:29:35,680 Speaker 1: like all the budget or something that's it's like a 446 00:29:35,800 --> 00:29:39,600 Speaker 1: throwaway line essentially, but as a joke of Trump was president. 447 00:29:39,720 --> 00:29:43,960 Speaker 1: So this actual this actually happens before the Trump presidency, 448 00:29:44,120 --> 00:29:47,920 Speaker 1: but people have been conflating this with the later recreation 449 00:29:48,600 --> 00:29:51,960 Speaker 1: of the campaign announcement. Oh yeah, because it would be 450 00:29:52,040 --> 00:29:55,400 Speaker 1: much more compelling if this was actually what happened. And 451 00:29:55,400 --> 00:29:57,600 Speaker 1: this is just naming a few of these. Oh my god, 452 00:29:57,960 --> 00:30:01,000 Speaker 1: there's so many. There's so so many. And our first 453 00:30:01,000 --> 00:30:07,960 Speaker 1: immediate questions are pretty easy, Right, how is this different 454 00:30:08,320 --> 00:30:12,800 Speaker 1: from a single creative team proposing you're depicting a social 455 00:30:12,960 --> 00:30:17,120 Speaker 1: change they think should happen. You know, if like the 456 00:30:17,120 --> 00:30:20,760 Speaker 1: Star Trek example, or let's say that the creators of 457 00:30:20,800 --> 00:30:24,480 Speaker 1: The Simpsons really thought, you know, the world will be 458 00:30:24,520 --> 00:30:26,640 Speaker 1: a better place, and the best way to get it 459 00:30:26,680 --> 00:30:31,520 Speaker 1: there is for us to push the greatness of a 460 00:30:31,560 --> 00:30:37,040 Speaker 1: Donald Trump presidency, Right that, Like, how is it different 461 00:30:37,160 --> 00:30:41,400 Speaker 1: in this case? In the Simpsons case, they're implying that 462 00:30:41,480 --> 00:30:44,160 Speaker 1: it was a bad thing for it to happen, Right, Yeah, 463 00:30:44,360 --> 00:30:46,880 Speaker 1: it was a joke, it was, And it was a joke. 464 00:30:47,400 --> 00:30:49,080 Speaker 1: You know, it sounds like it's kind of a throw 465 00:30:49,080 --> 00:30:52,640 Speaker 1: a joke. That's when it felt like, uh. And then 466 00:30:54,080 --> 00:30:58,680 Speaker 1: the other question is, how are these events different from 467 00:30:58,720 --> 00:31:03,920 Speaker 1: you know, and accident. Yeah, I know, I know. As 468 00:31:04,680 --> 00:31:09,719 Speaker 1: pattern seekers and master analyst all we're not big fans 469 00:31:09,760 --> 00:31:12,640 Speaker 1: of the idea of something being an accident or a 470 00:31:12,680 --> 00:31:16,800 Speaker 1: coincidence or just happening without a real purpose behind it. 471 00:31:17,560 --> 00:31:22,840 Speaker 1: First things first, from a psychological angle, there's a problem 472 00:31:23,160 --> 00:31:28,720 Speaker 1: with this idea of predictive programming because we tend to 473 00:31:30,120 --> 00:31:33,240 Speaker 1: model our behavior based less on an object or an 474 00:31:33,240 --> 00:31:37,080 Speaker 1: event and more on a character's reaction to that object 475 00:31:37,240 --> 00:31:42,160 Speaker 1: or event. There's a great experiment called Bobo Doll. The 476 00:31:42,200 --> 00:31:47,680 Speaker 1: Bobo Doll experiments in this is Bobo is a clown, 477 00:31:48,120 --> 00:31:53,280 Speaker 1: is inflatable clown like punching bad clown. All right, I 478 00:31:53,320 --> 00:31:55,600 Speaker 1: can't hear? Do you want me to wave? When? When? 479 00:31:55,680 --> 00:31:59,400 Speaker 1: Where it past this part? You come back? And no 480 00:31:59,640 --> 00:32:06,680 Speaker 1: stay stag this Psychologist Albert ben Dura conducted an experiment 481 00:32:07,680 --> 00:32:12,520 Speaker 1: a series of studies using an inflatable punching bag clown 482 00:32:12,960 --> 00:32:17,760 Speaker 1: called the Bobo Doll, and they got two groups of children. 483 00:32:18,680 --> 00:32:21,920 Speaker 1: In one group, each kid was shown a short film 484 00:32:22,120 --> 00:32:26,000 Speaker 1: of an adult hitting the doll, just smack in the 485 00:32:26,000 --> 00:32:29,960 Speaker 1: grease paint off it. In the other group, the adult 486 00:32:30,080 --> 00:32:34,280 Speaker 1: in the film ignored the doll, and after watching whichever 487 00:32:34,320 --> 00:32:36,720 Speaker 1: film they were assigned to. Each kid was put in 488 00:32:36,720 --> 00:32:39,880 Speaker 1: a room with a variety of toys, including a Bobo doll. 489 00:32:40,160 --> 00:32:43,800 Speaker 1: The children who have been shown the aggressive video overwhelmingly 490 00:32:43,880 --> 00:32:46,400 Speaker 1: mimic the adult and beat the snot out of the doll, 491 00:32:46,840 --> 00:32:49,560 Speaker 1: while the other kids just ignored it because that's what 492 00:32:49,560 --> 00:32:54,320 Speaker 1: you're supposed to do. So this means that if we see, 493 00:32:55,800 --> 00:33:01,120 Speaker 1: if we see something depicting a future event, allegedly, what 494 00:33:01,160 --> 00:33:04,280 Speaker 1: we're really paying attention to psychologically is going to be 495 00:33:04,320 --> 00:33:08,160 Speaker 1: how the characters with whom we identify react to it. 496 00:33:08,160 --> 00:33:12,959 Speaker 1: It's not it's not going to be world traits in 497 00:33:12,960 --> 00:33:15,120 Speaker 1: an attack. It's not going to be the Boston Marathon. 498 00:33:15,240 --> 00:33:18,000 Speaker 1: It's going to be how did the lone gunmen react 499 00:33:18,080 --> 00:33:22,520 Speaker 1: to this? How did how did Peter Griffin react to this? 500 00:33:22,840 --> 00:33:25,600 Speaker 1: You know what I mean? And it sounds like a 501 00:33:25,680 --> 00:33:30,800 Speaker 1: small difference, but it becomes increasingly clear this is strange 502 00:33:30,920 --> 00:33:36,960 Speaker 1: because the primary plank of predictive programming as a theory 503 00:33:37,520 --> 00:33:42,200 Speaker 1: is the idea that if we see something in real 504 00:33:42,280 --> 00:33:45,360 Speaker 1: life that we saw depicted in fiction, we're going to 505 00:33:45,600 --> 00:33:49,080 Speaker 1: have less of a reaction, right, We're going to have 506 00:33:49,440 --> 00:33:56,320 Speaker 1: resigned in difference or one quote, half hearted protest if 507 00:33:56,360 --> 00:34:00,640 Speaker 1: we see something in real life that was predicted. So 508 00:34:00,680 --> 00:34:06,280 Speaker 1: if we say, oh, the the CDC in Atlanta blew up, 509 00:34:06,680 --> 00:34:10,239 Speaker 1: but we saw several movies about that earlier, so you 510 00:34:10,280 --> 00:34:15,080 Speaker 1: know what evs that's the idea. But what we see 511 00:34:15,120 --> 00:34:19,239 Speaker 1: from the science behind this is that the idea that 512 00:34:19,400 --> 00:34:22,840 Speaker 1: just portrays something will elicit the same reaction regardless of 513 00:34:22,920 --> 00:34:28,440 Speaker 1: context is incorrect. There has to be a context to 514 00:34:28,719 --> 00:34:32,279 Speaker 1: the pattern, to the action that we are observing. So 515 00:34:32,960 --> 00:34:36,560 Speaker 1: the doll itself, the object or the event is not 516 00:34:36,600 --> 00:34:40,000 Speaker 1: inherently gonna be one thing or the other. It's going 517 00:34:40,040 --> 00:34:43,080 Speaker 1: to be how people react to it. Someone hitting the doll, 518 00:34:43,200 --> 00:34:47,360 Speaker 1: someone ignoring the doll. That's what people are modeling. Okay, 519 00:34:47,360 --> 00:34:50,880 Speaker 1: now I'm going back and applying this to all this stuff, 520 00:34:50,920 --> 00:34:55,840 Speaker 1: including the the Trump presidency. Oh man, okay, I'm going 521 00:34:55,880 --> 00:34:59,200 Speaker 1: to reevaluate all that now. Thank you, Ben. That's awesome. 522 00:35:00,280 --> 00:35:02,760 Speaker 1: So there's another thing we haven't even we haven't even 523 00:35:02,960 --> 00:35:07,840 Speaker 1: discussed yet, which is that this type of prediction in 524 00:35:07,920 --> 00:35:11,520 Speaker 1: some form of mass media does really occur. It can 525 00:35:11,560 --> 00:35:15,560 Speaker 1: occur in it's an accident, completely in accident. Consider the 526 00:35:15,880 --> 00:35:19,560 Speaker 1: early prescient story that you had mentioned before we've talked 527 00:35:19,560 --> 00:35:23,640 Speaker 1: about on the show before that Edgar Allan Poe had 528 00:35:23,640 --> 00:35:28,480 Speaker 1: this vision of survival cannibalism on a boat. Yes, the 529 00:35:28,520 --> 00:35:32,440 Speaker 1: only novel he published, The Narrative of Arthur Gordon Pim 530 00:35:32,480 --> 00:35:37,680 Speaker 1: of Nantucket in eight oh. Yeah, this is This is 531 00:35:37,760 --> 00:35:43,640 Speaker 1: a a baffling coincidence, and even if you consider yourself 532 00:35:43,680 --> 00:35:46,360 Speaker 1: a very, very skeptical person, you have to admit it 533 00:35:46,440 --> 00:35:48,800 Speaker 1: boggles the mind. I think this might be the best 534 00:35:48,800 --> 00:35:51,600 Speaker 1: example that I've ever heard. So part way through the 535 00:35:51,640 --> 00:35:54,960 Speaker 1: book The Narrative of Arthur Gordon Pim of Nantucket, the 536 00:35:55,120 --> 00:35:59,160 Speaker 1: crew of a ship called Grampus like Crampus, but with 537 00:35:59,200 --> 00:36:03,400 Speaker 1: a g finds themselves on a damaged boat, and they 538 00:36:03,400 --> 00:36:06,400 Speaker 1: have no food and they have no water. They managed 539 00:36:06,440 --> 00:36:10,640 Speaker 1: to catch a tortoise and eat that, but eventually to 540 00:36:10,800 --> 00:36:14,480 Speaker 1: survive they resort to cannibalism. They draw straws to figure 541 00:36:14,480 --> 00:36:17,080 Speaker 1: out which one of them will be sacrificed to feed 542 00:36:17,120 --> 00:36:20,520 Speaker 1: everyone else. The death straw goes to a guy named 543 00:36:20,680 --> 00:36:24,680 Speaker 1: Richard Parker, who's promptly stabbed his head, his hands, and 544 00:36:24,719 --> 00:36:28,759 Speaker 1: his feet are thrown overboard, and this keeps the rest 545 00:36:28,840 --> 00:36:32,080 Speaker 1: of the crew alive. A little bit longer, but the 546 00:36:32,760 --> 00:36:35,040 Speaker 1: last two members are still on the brink of death 547 00:36:35,320 --> 00:36:41,040 Speaker 1: when they're finally rescued. Poe himself thought it was a 548 00:36:41,160 --> 00:36:45,280 Speaker 1: really silly story. Quote very silly, if we're being accurate, 549 00:36:45,560 --> 00:36:49,040 Speaker 1: very silly, those are his words. Until that is in 550 00:36:50,120 --> 00:36:53,120 Speaker 1: four in real life, when a yacht named the Mignonette 551 00:36:53,239 --> 00:36:58,600 Speaker 1: left England headed toward Australia. The four man crew barely 552 00:36:58,760 --> 00:37:02,399 Speaker 1: escaped in a lifeboat, but they didn't have enough food eat, 553 00:37:02,440 --> 00:37:05,040 Speaker 1: they didn't have enough water to drink. They did catch 554 00:37:05,080 --> 00:37:09,319 Speaker 1: a turtle and they ate it, but just like the 555 00:37:09,400 --> 00:37:12,120 Speaker 1: people in the story by Poe, which is forty five 556 00:37:12,200 --> 00:37:17,160 Speaker 1: years old at that point, they resorted to cannibalism, specifically 557 00:37:17,560 --> 00:37:22,919 Speaker 1: of a seventeen year old named Richard Parker. Isn't that insane? 558 00:37:24,200 --> 00:37:29,440 Speaker 1: That is that is the honestly the craziest version of 559 00:37:29,520 --> 00:37:32,880 Speaker 1: something like this that I think has ever occurred. Yeah, 560 00:37:33,120 --> 00:37:35,640 Speaker 1: I'm at a loss for words still thinking about it, 561 00:37:35,719 --> 00:37:37,960 Speaker 1: you know, I mean, it's it's so crazy and it 562 00:37:38,000 --> 00:37:45,080 Speaker 1: really does make you reevaluate the life of pie movie. Yeah, 563 00:37:45,360 --> 00:37:48,920 Speaker 1: the name of the Tiger. So this this is a 564 00:37:48,920 --> 00:37:52,799 Speaker 1: really weird thing too, because it's not spot on and 565 00:37:52,880 --> 00:37:58,200 Speaker 1: are we also just seeing what we want to see? 566 00:37:58,960 --> 00:38:02,520 Speaker 1: You know, that is a question. And there's an elephant 567 00:38:02,520 --> 00:38:05,279 Speaker 1: in the room, right, Oh, there's a big elephant in 568 00:38:05,320 --> 00:38:07,440 Speaker 1: the room, and we'll talk about it right after a 569 00:38:07,520 --> 00:38:16,720 Speaker 1: quick word from our sponsor. All right, here we go finally, 570 00:38:17,200 --> 00:38:21,840 Speaker 1: and kudos, does Matt we got so far without acknowledging 571 00:38:21,880 --> 00:38:25,120 Speaker 1: this we did. Yeah, we played the reindeer games. We 572 00:38:25,200 --> 00:38:28,279 Speaker 1: said if this is, if this is so, this is 573 00:38:28,320 --> 00:38:30,319 Speaker 1: what would happen. These are things we consider from a 574 00:38:30,360 --> 00:38:36,680 Speaker 1: couple of different angles. But the big, the big concern here, 575 00:38:36,760 --> 00:38:40,160 Speaker 1: the as you said, the elephants, is that this seems 576 00:38:40,320 --> 00:38:46,320 Speaker 1: in every single case like a very very very very 577 00:38:46,360 --> 00:38:54,120 Speaker 1: complicated plan. Yes, and the the motivations for the machinations 578 00:38:54,880 --> 00:38:58,520 Speaker 1: aren't there for me, And and the how much work 579 00:38:58,560 --> 00:39:01,080 Speaker 1: you'd have to put in to get the Simpsons to 580 00:39:01,160 --> 00:39:04,160 Speaker 1: predict something so that you would be as the public, 581 00:39:04,960 --> 00:39:07,800 Speaker 1: that we would be okay with something in the future 582 00:39:08,040 --> 00:39:12,520 Speaker 1: baffles my mind that some screenwriter who wrote the pilot 583 00:39:13,040 --> 00:39:16,640 Speaker 1: for for this TV show, the spinoff of The X Files, 584 00:39:17,120 --> 00:39:19,320 Speaker 1: knew that there was this plan that was going to 585 00:39:19,440 --> 00:39:23,440 Speaker 1: be enacted several years or a year from then, two 586 00:39:23,520 --> 00:39:29,279 Speaker 1: years whatever, it's why why how much planning would have 587 00:39:29,320 --> 00:39:33,440 Speaker 1: to go into that, right, how much plan would have 588 00:39:33,480 --> 00:39:37,279 Speaker 1: to go into it publicly, much less how much plan 589 00:39:37,360 --> 00:39:39,080 Speaker 1: would have to go into it for it to occur 590 00:39:39,239 --> 00:39:44,400 Speaker 1: in secret somehow. Yeah, I mean that's that's easily hundreds 591 00:39:44,400 --> 00:39:47,440 Speaker 1: of people. Because you're talking about getting people to approve 592 00:39:47,480 --> 00:39:51,600 Speaker 1: a script. I mean, just just that alone, that process 593 00:39:52,200 --> 00:39:56,879 Speaker 1: is not an easy one. And uh, I don't know, man, well, 594 00:39:56,920 --> 00:40:00,279 Speaker 1: it just it takes almost double think on on the 595 00:40:00,360 --> 00:40:03,800 Speaker 1: part of us to believe in this, because if we 596 00:40:03,880 --> 00:40:06,719 Speaker 1: walk through it, it requires us to believe that not 597 00:40:06,840 --> 00:40:09,640 Speaker 1: only is a work of fiction being made with knowledge 598 00:40:09,640 --> 00:40:13,839 Speaker 1: of future events, certain knowledge that they have certitude about this, 599 00:40:14,080 --> 00:40:16,359 Speaker 1: but also that the creators of the work are either 600 00:40:16,400 --> 00:40:21,200 Speaker 1: in cooperation with some shadowy cabal or their members of 601 00:40:21,239 --> 00:40:25,839 Speaker 1: some shadowy cabal that has vast, near omniscient control over 602 00:40:25,920 --> 00:40:29,200 Speaker 1: events in the real world. But as still saying, you 603 00:40:29,239 --> 00:40:32,520 Speaker 1: know what, guys, we shall also make movies and all 604 00:40:32,600 --> 00:40:37,120 Speaker 1: these people are also okay with these terrible tragedies that occur. Right, 605 00:40:37,360 --> 00:40:39,439 Speaker 1: this would mean that if it were true, someone new 606 00:40:39,480 --> 00:40:43,200 Speaker 1: catastrophes like nine eleven we're going to happen. And additionally, 607 00:40:43,320 --> 00:40:46,120 Speaker 1: rather than preventing the disaster, they had enough time to 608 00:40:46,160 --> 00:40:49,280 Speaker 1: make a high production level story about something completely different. 609 00:40:49,600 --> 00:40:53,280 Speaker 1: Ultimately for the sole purpose of including a passing reference 610 00:40:53,320 --> 00:40:56,200 Speaker 1: to a real life event in the story that seems 611 00:40:56,200 --> 00:40:59,680 Speaker 1: like a massive amount of work for relatively small return. Yeah, 612 00:41:00,480 --> 00:41:06,200 Speaker 1: I I don't get it, man, I don't. I think 613 00:41:06,239 --> 00:41:09,280 Speaker 1: in order to believe this fully, you have to really 614 00:41:09,280 --> 00:41:13,680 Speaker 1: have gone down the rabbit hole of believing that every 615 00:41:14,040 --> 00:41:17,760 Speaker 1: person that's an elite of any sort is working together 616 00:41:18,320 --> 00:41:22,520 Speaker 1: for some bigger mass conspiracy. And you know, we have found, 617 00:41:22,840 --> 00:41:25,799 Speaker 1: over the course of our time digging into all sorts 618 00:41:25,840 --> 00:41:28,720 Speaker 1: of strange stuff on this show, we have found that 619 00:41:29,600 --> 00:41:32,759 Speaker 1: it's a lot less likely that one group actually rules 620 00:41:32,800 --> 00:41:34,719 Speaker 1: the world. It's a lot more likely that there are 621 00:41:34,800 --> 00:41:38,680 Speaker 1: several groups who are all vastly entitled and above the law, 622 00:41:38,760 --> 00:41:41,399 Speaker 1: who feel like they should run the world, and they 623 00:41:41,400 --> 00:41:43,640 Speaker 1: don't get along well. And I wonder if if you 624 00:41:43,760 --> 00:41:47,759 Speaker 1: do subscribe to this theory, you, maybe, even as a 625 00:41:47,760 --> 00:41:52,239 Speaker 1: conspiracy realist as we all are in this who can 626 00:41:52,280 --> 00:41:56,440 Speaker 1: hear this voice right now? Um? Maybe you imagine that 627 00:41:56,480 --> 00:41:59,799 Speaker 1: these are groups working, you know, against each other with 628 00:41:59,880 --> 00:42:04,680 Speaker 1: their predictive programming efforts. Ah, I like that spin there. 629 00:42:04,800 --> 00:42:10,440 Speaker 1: I like that angle because it would also help at 630 00:42:10,520 --> 00:42:16,359 Speaker 1: least to float the the inevitable problem of different predictions occurring. Right, 631 00:42:16,400 --> 00:42:20,359 Speaker 1: that's really smart. There's also there's another wrinkle in here, 632 00:42:21,239 --> 00:42:24,319 Speaker 1: which is kind of a con Propaganda works best when 633 00:42:24,320 --> 00:42:29,319 Speaker 1: it's simplified. I mean, there's no denying that fiction is 634 00:42:29,920 --> 00:42:34,640 Speaker 1: incredibly powerful. And even today, books and films are banned 635 00:42:34,719 --> 00:42:40,360 Speaker 1: by governments around the world. And also propaganda is produced 636 00:42:40,400 --> 00:42:44,560 Speaker 1: by governments around the world or by think tanks or agencies. 637 00:42:45,239 --> 00:42:49,400 Speaker 1: People with some sort of agenda, whether they are fervent nationalists, 638 00:42:49,400 --> 00:42:53,640 Speaker 1: whether they are racial supremacists of some sort, they're they're 639 00:42:53,680 --> 00:42:57,920 Speaker 1: out there and they want to have a story where 640 00:42:57,960 --> 00:43:01,879 Speaker 1: their agenda or their goal is entered as the right thing, 641 00:43:02,120 --> 00:43:07,279 Speaker 1: the best thing. And I know I'm mentioning, I know, 642 00:43:07,400 --> 00:43:12,320 Speaker 1: I'm I'm mentioned groups like nationalists and supremacists, but that's 643 00:43:12,920 --> 00:43:18,200 Speaker 1: barely the surface. It's like everybody's people whom you know. 644 00:43:18,239 --> 00:43:22,480 Speaker 1: It's cause agnostic. It's a technique that does not fall 645 00:43:22,600 --> 00:43:26,200 Speaker 1: under the purview of any one particular group of people 646 00:43:26,239 --> 00:43:28,359 Speaker 1: that you might think of as evil or they might 647 00:43:28,360 --> 00:43:30,680 Speaker 1: think of as good. The people who want to save 648 00:43:30,719 --> 00:43:35,080 Speaker 1: coral reefs are absolutely capable of doing the same kind 649 00:43:35,200 --> 00:43:40,200 Speaker 1: of things that you would see from another propaganda entity. Yeah, 650 00:43:40,400 --> 00:43:42,920 Speaker 1: I happen to believe that they have truth on their side. 651 00:43:43,560 --> 00:43:47,120 Speaker 1: That that's just me. You believe in the coral reefs. Yeah, 652 00:43:47,160 --> 00:43:49,520 Speaker 1: I think they're real. I think it cuts out well, 653 00:43:49,560 --> 00:43:52,120 Speaker 1: some of them are not real. I was just learning 654 00:43:52,160 --> 00:43:54,840 Speaker 1: about some of I think it's the Georgia Coast. NPR 655 00:43:55,000 --> 00:43:59,359 Speaker 1: was talking about this where they're fake coral reefs, artificial reefs. Yeah, 656 00:43:59,520 --> 00:44:02,319 Speaker 1: really saying stuff made out of rubble. But there's still 657 00:44:02,960 --> 00:44:06,799 Speaker 1: real like this. They're not coral. Bough, they're reefs, they're 658 00:44:06,800 --> 00:44:09,120 Speaker 1: not coral. That's all. That's a very good point, Matt. 659 00:44:09,440 --> 00:44:14,280 Speaker 1: Thank you, thank you for bringing that, bringing that to light. Finally, 660 00:44:14,480 --> 00:44:17,320 Speaker 1: it's what big coral doesn't want you to know. Seriously, 661 00:44:17,680 --> 00:44:21,319 Speaker 1: Oh man, rebar and concrete will do just wonders for 662 00:44:21,400 --> 00:44:27,040 Speaker 1: fish and needed to be said. Thank you, no problem, dude, 663 00:44:27,719 --> 00:44:32,280 Speaker 1: just while we're still in oceanic realms. Been. My father 664 00:44:32,440 --> 00:44:36,280 Speaker 1: called me panicked the other day about the Great Pacific 665 00:44:36,280 --> 00:44:39,879 Speaker 1: garbage Patch, and I think he honestly hadn't ever heard 666 00:44:39,880 --> 00:44:42,279 Speaker 1: of it before. And you know, this is something that 667 00:44:42,360 --> 00:44:46,360 Speaker 1: maybe you listening to this have heard about it before. 668 00:44:46,719 --> 00:44:52,080 Speaker 1: It is a massively troubling thing that is happening a 669 00:44:52,080 --> 00:44:56,280 Speaker 1: a huge amount of plastic and other garbage that's just there. 670 00:44:56,680 --> 00:44:58,600 Speaker 1: I feel like we need to do some kind of 671 00:44:58,680 --> 00:45:02,880 Speaker 1: episode on it because my dad was genuinely terrified and 672 00:45:03,040 --> 00:45:06,440 Speaker 1: felt like the world was ending because of this. Well, 673 00:45:06,480 --> 00:45:10,000 Speaker 1: it's certainly not a good thing. Well yeah, absolutely, but 674 00:45:10,120 --> 00:45:13,359 Speaker 1: I think imagining it and um seeing some of the 675 00:45:13,400 --> 00:45:16,160 Speaker 1: imagery that the New News was putting out about it 676 00:45:16,200 --> 00:45:19,160 Speaker 1: was was fear inducing, and I think it's worth us 677 00:45:19,280 --> 00:45:24,319 Speaker 1: discussing maybe in the future about what could happen. Sure. Yeah, 678 00:45:24,520 --> 00:45:30,000 Speaker 1: we can also talk about whether recycling actually helps. That's 679 00:45:30,040 --> 00:45:33,560 Speaker 1: great because a lot of people in the West, at 680 00:45:33,640 --> 00:45:38,600 Speaker 1: least are I don't know, are doing a ritual where 681 00:45:38,760 --> 00:45:44,359 Speaker 1: you put some trash in a blue box and you 682 00:45:44,520 --> 00:45:47,080 Speaker 1: tell yourself that you're making a difference, And you know, 683 00:45:47,480 --> 00:45:50,400 Speaker 1: I think that's a sincere thing. We recycled here at 684 00:45:50,400 --> 00:45:53,120 Speaker 1: the office, but in a lot of places when people 685 00:45:53,160 --> 00:45:56,200 Speaker 1: come around to collect the garbage, the things from those 686 00:45:56,200 --> 00:46:00,160 Speaker 1: two boxes go in the same dumpster. YEP. So no, 687 00:46:00,880 --> 00:46:05,360 Speaker 1: sometimes I don't want to make a huge sweeping statement 688 00:46:05,400 --> 00:46:09,040 Speaker 1: about it. But but it's true that does happen. So yeah, 689 00:46:09,120 --> 00:46:11,680 Speaker 1: let us know what we should examine when it comes 690 00:46:11,680 --> 00:46:14,480 Speaker 1: to recycling, when it comes to the Great Garbage Patch. 691 00:46:14,760 --> 00:46:18,440 Speaker 1: We did do an episode on ocean acidification and we did. Yeah, 692 00:46:18,719 --> 00:46:22,000 Speaker 1: and you know that's scary. Yeah, that's really scary. But 693 00:46:22,239 --> 00:46:25,360 Speaker 1: and why aren't we using the whole the plasma methods 694 00:46:25,719 --> 00:46:30,680 Speaker 1: of breaking down trash, turning it into slag and usable gases. Yeah, 695 00:46:30,800 --> 00:46:32,840 Speaker 1: you told me about that years ago. They had the 696 00:46:32,840 --> 00:46:36,279 Speaker 1: technology in Japan, right, dude. They've been doing this for 697 00:46:36,560 --> 00:46:40,320 Speaker 1: decades in Japan and a couple other places, just turning 698 00:46:40,360 --> 00:46:44,560 Speaker 1: their their trash into energy and usable building materials. Why 699 00:46:44,560 --> 00:46:49,040 Speaker 1: aren't we doing this? Guy's Wow, that's a massive tangent. Okay, 700 00:46:49,280 --> 00:46:51,279 Speaker 1: let's let's get back to this really fast. So are 701 00:46:51,320 --> 00:46:56,239 Speaker 1: we predictively programming the audience? Oh? Is that what this is? 702 00:46:56,239 --> 00:47:00,320 Speaker 1: Is that what this whole thing was? Oh my god, Paul, 703 00:47:01,000 --> 00:47:05,719 Speaker 1: were you in on this? Oh my god, Matt, I 704 00:47:05,920 --> 00:47:09,200 Speaker 1: figured the best way for you to learn this be 705 00:47:09,480 --> 00:47:12,520 Speaker 1: on the air with with no prep. You made me 706 00:47:12,560 --> 00:47:17,040 Speaker 1: a part of this. Oh my god, it's too late now. 707 00:47:18,680 --> 00:47:23,560 Speaker 1: Pretty soon we're gonna have George Soros Warren Buffett, Bill Gates, 708 00:47:23,719 --> 00:47:26,680 Speaker 1: and uh, I don't know who else, Oprah, Alice Cooper. 709 00:47:26,719 --> 00:47:29,000 Speaker 1: They're all gonna walk in and do a slow clap 710 00:47:29,160 --> 00:47:34,160 Speaker 1: the bazos. Maybe maybe he's a fearsome beast, though no, 711 00:47:36,719 --> 00:47:40,640 Speaker 1: I don't. We don't have any celebrity illuminati that that 712 00:47:40,680 --> 00:47:44,439 Speaker 1: are coming by. Although today as we recorded this, uh, 713 00:47:44,520 --> 00:47:48,160 Speaker 1: David Diggs did drop by to appear on a show 714 00:47:48,200 --> 00:47:51,080 Speaker 1: our pal Chuck does called movie Crush, So do check 715 00:47:51,120 --> 00:47:56,120 Speaker 1: that out. Did you like that organic segue and perfection 716 00:47:56,200 --> 00:47:59,759 Speaker 1: with you? Thanks? You know, they sometimes call me the 717 00:48:00,120 --> 00:48:05,600 Speaker 1: the Matt Frederick of smooth Plugs. It's a it's a 718 00:48:05,600 --> 00:48:08,520 Speaker 1: tremendous compliment one I don't deserve. But if you know, 719 00:48:08,600 --> 00:48:11,359 Speaker 1: if you're if you're thinking to yourself, what did I miss? 720 00:48:11,520 --> 00:48:14,279 Speaker 1: And you wanna, you know, send us something. Uh, if 721 00:48:14,280 --> 00:48:16,480 Speaker 1: you have any questions or comments about anything we've talked 722 00:48:16,520 --> 00:48:20,040 Speaker 1: about today, have you noticed a different version of predictive 723 00:48:20,120 --> 00:48:22,919 Speaker 1: programming or do you have a really good example, or 724 00:48:22,960 --> 00:48:26,520 Speaker 1: you know what, do you think it's hogwash? You should 725 00:48:26,520 --> 00:48:28,640 Speaker 1: write to us. You can find us on social media 726 00:48:28,719 --> 00:48:32,000 Speaker 1: where we are conspiracy stuff on most of them, sometimes 727 00:48:32,080 --> 00:48:35,040 Speaker 1: conspiracy stuff show. You'll find us. You can do it. 728 00:48:35,560 --> 00:48:36,840 Speaker 1: You can go to stuff they don't want you to 729 00:48:36,880 --> 00:48:39,399 Speaker 1: know dot com. You can check out every podcast we've 730 00:48:39,400 --> 00:48:42,120 Speaker 1: ever recorded, some videos, all kinds of good stuff there. 731 00:48:43,120 --> 00:48:47,760 Speaker 1: You can. Oh, there's another thing you can do. That's right, folks, 732 00:48:48,200 --> 00:48:53,080 Speaker 1: friends and neighbors, skeptics, conspiracy realist alike. If you would 733 00:48:53,560 --> 00:48:58,520 Speaker 1: rather call us directly, we have a phone number and 734 00:48:58,600 --> 00:49:01,640 Speaker 1: you can have it. You can update us on what 735 00:49:01,719 --> 00:49:05,319 Speaker 1: you think about predictive programming. You can tell us your 736 00:49:05,520 --> 00:49:10,400 Speaker 1: favorite think tanks. I think personally, we're both fascinated by 737 00:49:10,560 --> 00:49:14,759 Speaker 1: Rand Corporation and their subsidiaries. And all you have to 738 00:49:14,800 --> 00:49:20,239 Speaker 1: do is give us a ring. We're one eight three 739 00:49:20,360 --> 00:49:25,759 Speaker 1: three st d w y t K. That's it. And 740 00:49:25,800 --> 00:49:28,399 Speaker 1: if you want that number in numerals, it's one eight 741 00:49:28,480 --> 00:49:33,920 Speaker 1: three three seven eight three nine nine eight five and 742 00:49:33,960 --> 00:49:35,719 Speaker 1: you can call it. Just leave a message. We're gonna 743 00:49:35,719 --> 00:49:38,880 Speaker 1: listen to it. It might end up in the show somehow. 744 00:49:39,640 --> 00:49:43,960 Speaker 1: Spoiler alert, you may be participating in predictive programming, but 745 00:49:44,200 --> 00:49:46,360 Speaker 1: you didn't hear it from us. We didn't say anything 746 00:49:46,360 --> 00:49:50,279 Speaker 1: about it. And if you're thinking, well, i'm a little 747 00:49:50,320 --> 00:49:54,160 Speaker 1: mora old fashioned, I like a I'm somehow anachronistic, lee 748 00:49:54,160 --> 00:49:58,919 Speaker 1: old fashioned because I would rather send an email than 749 00:49:59,520 --> 00:50:03,080 Speaker 1: leave a message. Then we have good news for you. 750 00:50:03,080 --> 00:50:07,600 Speaker 1: You can reach us directly. We are conspiracy at how 751 00:50:07,680 --> 00:50:10,239 Speaker 1: stuff works dot com, m