1 00:00:00,120 --> 00:00:03,520 Speaker 1: Hey, fellow conspiracy realists, have you ever thought about this? 2 00:00:04,080 --> 00:00:08,879 Speaker 1: Have things ever seemed a little too purposeful, a little 3 00:00:08,880 --> 00:00:11,600 Speaker 1: too organized in your day to day life. What if 4 00:00:11,720 --> 00:00:16,079 Speaker 1: everything you encounter, all your interactions are somehow part of 5 00:00:16,079 --> 00:00:19,400 Speaker 1: a larger orchestrated scheme or plan. 6 00:00:20,600 --> 00:00:24,320 Speaker 2: We're all inside episodes of The Simpsons. 7 00:00:25,160 --> 00:00:26,840 Speaker 1: More stuff that I want you to know. Which is 8 00:00:26,880 --> 00:00:30,320 Speaker 1: more terrifying. I'll let you be the judge. From UFOs 9 00:00:30,360 --> 00:00:34,360 Speaker 1: to psychic powers and government conspiracies, history is riddled with 10 00:00:34,479 --> 00:00:38,600 Speaker 1: unexplained events. You can turn back now or learn the 11 00:00:38,680 --> 00:00:40,199 Speaker 1: stuff they don't want you to know. 12 00:00:53,280 --> 00:00:55,400 Speaker 2: Hello, welcome back to the show. My name is Matt. 13 00:00:55,600 --> 00:00:58,560 Speaker 1: They called me Ben. We were joining with our super producer, 14 00:00:58,960 --> 00:01:04,240 Speaker 1: Paul the Paul the Predictor Decand okay, we got a shrug. 15 00:01:04,400 --> 00:01:07,319 Speaker 1: We're joining with Paul the Predictor Decand most importantly, you 16 00:01:07,480 --> 00:01:10,280 Speaker 1: are you, and you are here, and that makes this 17 00:01:10,800 --> 00:01:14,480 Speaker 1: stuff they don't want you to know. We predict you 18 00:01:14,520 --> 00:01:17,080 Speaker 1: will find this episode fascinating. 19 00:01:17,360 --> 00:01:19,120 Speaker 2: Oh yeah, we can already tell this is going to 20 00:01:19,160 --> 00:01:21,360 Speaker 2: be your favorite episode that's come out in a long time. 21 00:01:21,840 --> 00:01:25,360 Speaker 2: We've already read some of your emails. Thank you for those. 22 00:01:25,440 --> 00:01:29,160 Speaker 2: It's really kind what you said about this episode. You know, 23 00:01:29,240 --> 00:01:31,480 Speaker 2: we look forward to your next ones. 24 00:01:31,680 --> 00:01:37,399 Speaker 1: Right, both represented in fiction and in real life. I 25 00:01:37,400 --> 00:01:40,800 Speaker 1: don't know if we can continue this this trope for 26 00:01:40,840 --> 00:01:43,320 Speaker 1: the whole show man, What do you think. No, we're 27 00:01:43,360 --> 00:01:46,839 Speaker 1: just being silly, We're just we're just having a goof. 28 00:01:47,840 --> 00:01:49,400 Speaker 1: Do people still say that having a goof? 29 00:01:49,560 --> 00:01:49,960 Speaker 2: Of course? 30 00:01:50,440 --> 00:01:55,520 Speaker 1: Great, because if not, we're bringing it back. This episode 31 00:01:56,160 --> 00:02:03,000 Speaker 1: is about somewhat of a meta conspiracy, a conspiracy about conspiracies, 32 00:02:03,280 --> 00:02:06,280 Speaker 1: for lack of a better term, or a technique that 33 00:02:06,400 --> 00:02:12,760 Speaker 1: is attributed to a lot of specific theories. And oddly enough, 34 00:02:13,000 --> 00:02:16,000 Speaker 1: there's a very strong basis in truth in this, which 35 00:02:16,040 --> 00:02:17,680 Speaker 1: I think surprised both of us. 36 00:02:18,000 --> 00:02:21,120 Speaker 2: There is a little bit of truth in a way, 37 00:02:21,880 --> 00:02:26,040 Speaker 2: but it's Yeah, it's one of those things where it's 38 00:02:26,080 --> 00:02:29,200 Speaker 2: so prevalent. This what we're speaking about today, and let's 39 00:02:29,200 --> 00:02:29,800 Speaker 2: just say what it. 40 00:02:29,720 --> 00:02:32,160 Speaker 1: Is a predictive programming. 41 00:02:31,960 --> 00:02:35,960 Speaker 2: And it's so prevalent on the Internet when anything occurs. 42 00:02:36,560 --> 00:02:41,240 Speaker 2: There is so much media that exists and so many 43 00:02:41,320 --> 00:02:46,120 Speaker 2: things happening that when you find the little connective tissues, 44 00:02:46,639 --> 00:02:49,760 Speaker 2: there's always that eureka moment and it just happens all 45 00:02:49,800 --> 00:02:50,399 Speaker 2: the time. 46 00:02:50,200 --> 00:02:53,840 Speaker 1: Now maybe yeah, maybe we get into this too with 47 00:02:53,919 --> 00:02:59,280 Speaker 1: an anecdote. Several years ago, you and I made a 48 00:02:59,560 --> 00:03:05,720 Speaker 1: video about the Illuminati card game. Yes, yes, And in 49 00:03:05,760 --> 00:03:11,760 Speaker 1: the Illuminati Card Game there are certain cards that people 50 00:03:11,760 --> 00:03:15,680 Speaker 1: who believe in predictive programming have pointed to as evidence 51 00:03:15,960 --> 00:03:20,919 Speaker 1: of this practice. I think specifically the Twin Towers is correct. 52 00:03:20,960 --> 00:03:23,639 Speaker 2: The Twin Towers was one about a terrorist attack. There 53 00:03:23,639 --> 00:03:27,000 Speaker 2: were so many though, Deepwater Horizon from twenty ten was one, 54 00:03:27,680 --> 00:03:30,919 Speaker 2: and again in that video, I guess do we want 55 00:03:30,919 --> 00:03:32,760 Speaker 2: to spoil any of that right now? About kind of 56 00:03:32,800 --> 00:03:34,680 Speaker 2: what we found out about the card game? 57 00:03:34,880 --> 00:03:36,200 Speaker 1: Yeah, yeah, go ahead, laid up. 58 00:03:36,320 --> 00:03:39,360 Speaker 2: Okay. So there have been so many versions of that 59 00:03:39,440 --> 00:03:42,000 Speaker 2: card game over the years. The cards have shifted and 60 00:03:42,120 --> 00:03:45,760 Speaker 2: changed a little bit, the artwork has been altered. Exactly 61 00:03:45,760 --> 00:03:49,200 Speaker 2: what stated on the cards has been altered. And then 62 00:03:49,240 --> 00:03:53,040 Speaker 2: when you're online and you have people posting images about 63 00:03:53,240 --> 00:03:55,320 Speaker 2: you know, here, look at this card from this game 64 00:03:55,360 --> 00:04:00,920 Speaker 2: that came out in ninety something. You know it predicted 65 00:04:00,960 --> 00:04:03,760 Speaker 2: the World Trade Center because of this card, when in actuality, 66 00:04:03,800 --> 00:04:09,360 Speaker 2: that card was referring to the original World Trade Center bombing, 67 00:04:09,720 --> 00:04:12,880 Speaker 2: which occurred in the nineties, right, and then, and or 68 00:04:12,960 --> 00:04:17,799 Speaker 2: it was changed now because of other you know, circumstances, 69 00:04:17,920 --> 00:04:20,440 Speaker 2: things that actually occurred in the real world after it 70 00:04:20,520 --> 00:04:23,440 Speaker 2: was put out. It's just interesting how things shift over time, 71 00:04:23,480 --> 00:04:26,279 Speaker 2: and when it's posted on the internet, it could be 72 00:04:26,640 --> 00:04:30,280 Speaker 2: from any time throughout the span of the card's history. 73 00:04:30,839 --> 00:04:34,280 Speaker 1: Oh, we should also point out that it's a fun game. 74 00:04:34,440 --> 00:04:35,440 Speaker 2: It is a really fun game. 75 00:04:35,520 --> 00:04:38,280 Speaker 1: I was so happy because you introduced me to it. 76 00:04:38,880 --> 00:04:41,080 Speaker 1: I'm going to owe you for that one. Also, I 77 00:04:41,160 --> 00:04:45,080 Speaker 1: was thinking, should we play that game with with with 78 00:04:45,240 --> 00:04:47,400 Speaker 1: you friends and neighbors if we ever run into each 79 00:04:47,400 --> 00:04:51,440 Speaker 1: other in real life, or Matt, should you and Paul 80 00:04:51,600 --> 00:04:54,760 Speaker 1: and Nola and I make a game of our own? 81 00:04:55,240 --> 00:04:57,320 Speaker 2: We could. We should make a game of our own. 82 00:04:57,440 --> 00:04:58,520 Speaker 2: We could live stream it. 83 00:04:58,640 --> 00:05:01,680 Speaker 1: Stuff they don't want you to play. I don't know. 84 00:05:01,800 --> 00:05:03,960 Speaker 1: I don't know. We'll put a pin in that, okay, 85 00:05:04,560 --> 00:05:07,720 Speaker 1: But but yeah, So that's a great example of an 86 00:05:07,760 --> 00:05:12,800 Speaker 1: allegation of predictive programming. Here's what we mean specifically when 87 00:05:12,839 --> 00:05:15,839 Speaker 1: we say there's a basis in truth. In decades past, 88 00:05:15,920 --> 00:05:18,800 Speaker 1: the US government would assemble groups of people to help 89 00:05:18,839 --> 00:05:23,920 Speaker 1: them predict the direction of future technological breakthroughs, and they 90 00:05:24,000 --> 00:05:28,839 Speaker 1: consulted scientists and technocrats, but they also asked science fiction 91 00:05:28,960 --> 00:05:33,800 Speaker 1: writers to join in this think tankery, and several of 92 00:05:33,839 --> 00:05:37,440 Speaker 1: these writers, it turns out, had already successfully predicted the 93 00:05:37,480 --> 00:05:41,680 Speaker 1: broad strokes of a certain aspect of technological progress or 94 00:05:41,800 --> 00:05:45,480 Speaker 1: social changes, and they had depicted these events in works 95 00:05:45,520 --> 00:05:45,960 Speaker 1: of fiction. 96 00:05:46,440 --> 00:05:48,039 Speaker 2: Yeah, and for a lot of people, this is just 97 00:05:48,600 --> 00:05:52,400 Speaker 2: it speaks to the human imagination. What can what images 98 00:05:52,520 --> 00:05:54,800 Speaker 2: and ideas can we conjure in our heads before it 99 00:05:54,880 --> 00:06:00,760 Speaker 2: becomes reality? And it's really, honestly, it's inspiring and our 100 00:06:00,800 --> 00:06:05,400 Speaker 2: species ability to dream beyond the limits of this moment 101 00:06:05,600 --> 00:06:08,560 Speaker 2: of what's occurring right now, things that I can possibly 102 00:06:08,600 --> 00:06:12,359 Speaker 2: do today to what I could do in the future 103 00:06:12,440 --> 00:06:16,440 Speaker 2: because of X. I mean, that's incredible. That's what separates us. Well, 104 00:06:16,480 --> 00:06:17,760 Speaker 2: there are a lot of things that separate us, but 105 00:06:17,760 --> 00:06:19,960 Speaker 2: that's one of the major things that separates us from 106 00:06:20,000 --> 00:06:20,760 Speaker 2: other mammals. 107 00:06:20,839 --> 00:06:23,800 Speaker 1: You're giving me chills. That is inspiring, especially the way 108 00:06:23,839 --> 00:06:26,760 Speaker 1: you put it there. It is it is one of 109 00:06:26,800 --> 00:06:32,240 Speaker 1: the primary separations. But it's not all like angel farts 110 00:06:32,240 --> 00:06:34,640 Speaker 1: and trumpets in the sky. You know, there's a dark 111 00:06:34,680 --> 00:06:38,200 Speaker 1: side that people see here because for others, this story 112 00:06:38,240 --> 00:06:42,039 Speaker 1: of sci fi collaboration is only scratching the surface. It's 113 00:06:42,080 --> 00:06:46,719 Speaker 1: a relatively benign example of a much more widespread and, 114 00:06:46,839 --> 00:06:51,000 Speaker 1: according to them, sinister practice. Fringe researchers across the US 115 00:06:51,040 --> 00:06:54,640 Speaker 1: and the globe believe that nefarious, hidden groups are guiding 116 00:06:54,680 --> 00:06:59,280 Speaker 1: the public through the use of this predictive programming. So 117 00:06:59,520 --> 00:07:02,440 Speaker 1: let's look at the facts. When you look at the 118 00:07:02,520 --> 00:07:06,640 Speaker 1: idea of fiction, whether an Illuminati game or a film 119 00:07:07,160 --> 00:07:12,360 Speaker 1: depicting actual events in the future, we see two fundamental 120 00:07:12,440 --> 00:07:14,120 Speaker 1: factors at play immediately. 121 00:07:14,600 --> 00:07:17,440 Speaker 2: Yeah. The first is what the creators are trying to do. 122 00:07:18,160 --> 00:07:22,240 Speaker 2: It's not a secret that people who write screenplays and 123 00:07:22,360 --> 00:07:27,880 Speaker 2: write books, directors of television and movie, they often are 124 00:07:28,120 --> 00:07:30,720 Speaker 2: attempting to depict what they think the future is going 125 00:07:30,760 --> 00:07:33,680 Speaker 2: to look like, what might happen in the future. If 126 00:07:33,720 --> 00:07:38,520 Speaker 2: you think about nineteen eighty four the novel or Brave 127 00:07:38,600 --> 00:07:42,640 Speaker 2: New World, these are two cautionary tales, very different from 128 00:07:42,680 --> 00:07:49,040 Speaker 2: each other and also quite similar. They're meant to educate 129 00:07:49,080 --> 00:07:53,280 Speaker 2: as much as they're meant to warn and entertain. They 130 00:07:53,320 --> 00:07:55,040 Speaker 2: function on a whole lot of levels. 131 00:07:55,400 --> 00:07:59,280 Speaker 1: Yeah, Yeah, nineteen eighty four is one of those books that, 132 00:08:00,760 --> 00:08:04,240 Speaker 1: even after having read it multiple times. I still don't 133 00:08:04,240 --> 00:08:06,520 Speaker 1: know if I would say I'm entertained by it, you 134 00:08:06,560 --> 00:08:09,520 Speaker 1: know what I mean. Sure, it definitely airs more on 135 00:08:09,560 --> 00:08:12,880 Speaker 1: the cautionary tale side, but you're absolutely right. I think 136 00:08:12,880 --> 00:08:16,240 Speaker 1: that's such a great point. These authors and these creators 137 00:08:16,280 --> 00:08:20,040 Speaker 1: are not working in a vacuum. They are attempting to 138 00:08:20,200 --> 00:08:23,280 Speaker 1: enact some sort of change in the world, whether it's 139 00:08:23,440 --> 00:08:27,400 Speaker 1: just making the world one story better or one story richer, 140 00:08:27,680 --> 00:08:29,320 Speaker 1: or whatever we want to say about it. 141 00:08:29,320 --> 00:08:31,520 Speaker 2: Or as in the case of a Brave New World, 142 00:08:31,680 --> 00:08:35,400 Speaker 2: it's the question of dothtaw entertain too much? 143 00:08:36,760 --> 00:08:43,319 Speaker 1: Yes? Yes, And these authors could also depict something more aspirational, 144 00:08:43,760 --> 00:08:47,240 Speaker 1: like what the future of humanity could be if we 145 00:08:47,440 --> 00:08:49,600 Speaker 1: ever get our collective business together. 146 00:08:49,720 --> 00:08:51,079 Speaker 2: You're talking about Star Trek. 147 00:08:50,920 --> 00:08:53,360 Speaker 1: I'm talking about Star Trek, Matt Man. 148 00:08:53,800 --> 00:08:59,040 Speaker 2: Star Trek tng was the thing they like made me go, okay, 149 00:08:59,040 --> 00:09:01,040 Speaker 2: we're gonna be okay. The future is going to be 150 00:09:01,080 --> 00:09:03,680 Speaker 2: an amazing place. I can't wait to get there. 151 00:09:04,320 --> 00:09:11,000 Speaker 1: Right. It's a post scarcity economy, right, there's not income inequality, 152 00:09:11,200 --> 00:09:15,760 Speaker 1: and the species spends its time exploring strange new worlds 153 00:09:16,120 --> 00:09:21,480 Speaker 1: and attempting to enrich their knowledge of the galaxy and 154 00:09:21,520 --> 00:09:25,040 Speaker 1: the beautiful universe in which we live. Also having more 155 00:09:25,120 --> 00:09:29,439 Speaker 1: or less constant war or uneasy truces with various alien empires. 156 00:09:29,679 --> 00:09:32,840 Speaker 1: Probably a story for a different episode, but yeah, Star 157 00:09:32,920 --> 00:09:35,439 Speaker 1: Trek aspirational. Imagine what we could be. 158 00:09:35,840 --> 00:09:38,760 Speaker 2: Exactly, and then you could even have a Holid Deck. 159 00:09:39,400 --> 00:09:42,319 Speaker 2: I mean, come on, that's what it was for your 160 00:09:43,200 --> 00:09:46,640 Speaker 2: No it it was the big picture stuff. 161 00:09:46,800 --> 00:09:48,599 Speaker 1: I hated the Holid Deck episodes. 162 00:09:48,880 --> 00:09:51,120 Speaker 2: Yeah, I always felt like I was getting tricked. 163 00:09:51,480 --> 00:09:55,000 Speaker 1: I felt, you know, this is just my opinion, one 164 00:09:55,040 --> 00:09:58,160 Speaker 1: person's opinion, and I would love to hear everybody else's 165 00:09:58,200 --> 00:10:02,360 Speaker 1: opinion on this. I thought I felt as if the 166 00:10:02,679 --> 00:10:06,479 Speaker 1: actors were pushing this on the writers and the producers 167 00:10:06,520 --> 00:10:11,160 Speaker 1: and saying, well, you know, I've I've done some Shakespeare before. 168 00:10:11,960 --> 00:10:15,280 Speaker 2: You're talking specifically about El Capitan. 169 00:10:14,880 --> 00:10:17,200 Speaker 1: Right, I don't know, I don't you know, I don't 170 00:10:17,200 --> 00:10:21,240 Speaker 1: know who it was. I feel like I have suspicions, 171 00:10:21,280 --> 00:10:24,160 Speaker 1: but I can't pin it on any single actor. Okay, 172 00:10:24,520 --> 00:10:27,559 Speaker 1: And maybe it was just maybe it just felt like 173 00:10:27,600 --> 00:10:28,480 Speaker 1: a bait and switch. 174 00:10:28,920 --> 00:10:31,160 Speaker 2: Well, yeah, it's a I think it's a writing device 175 00:10:31,840 --> 00:10:35,439 Speaker 2: that the people in the writer's room can go, Wow, 176 00:10:35,480 --> 00:10:37,880 Speaker 2: we've been stuck on this enterprise for a long time 177 00:10:37,920 --> 00:10:40,800 Speaker 2: in all these episodes. Let's let's do a Western. 178 00:10:41,720 --> 00:10:44,040 Speaker 1: Yeah, it could be that. It could also be something, 179 00:10:44,080 --> 00:10:47,240 Speaker 1: As you know, these are big machines. Every television show 180 00:10:47,320 --> 00:10:49,920 Speaker 1: is a huge machine of its own. So it could 181 00:10:49,960 --> 00:10:53,480 Speaker 1: have been something behind the scenes where they said, Okay, 182 00:10:53,800 --> 00:10:57,800 Speaker 1: look we have this leftover set for a show that 183 00:10:57,880 --> 00:11:02,360 Speaker 1: didn't get used. We have to use it. And sorry, 184 00:11:02,920 --> 00:11:06,280 Speaker 1: Star trek TNG, you drew the short straw this time. 185 00:11:06,360 --> 00:11:11,280 Speaker 1: So writer's room, chop chop something something with the hollow deck. 186 00:11:11,320 --> 00:11:14,520 Speaker 2: Or maybe this set's about to get torn down. Hey, writers, 187 00:11:14,600 --> 00:11:15,959 Speaker 2: let's find a way to use it quick. 188 00:11:16,960 --> 00:11:19,560 Speaker 1: We have We have spent a lot of time thinking 189 00:11:19,600 --> 00:11:23,560 Speaker 1: about thinking about this. You know, I bet someone out 190 00:11:23,600 --> 00:11:28,240 Speaker 1: there has a has the real scoop, the straight poop, 191 00:11:28,440 --> 00:11:32,840 Speaker 1: as we might say, on the origin of those hollow 192 00:11:32,880 --> 00:11:36,559 Speaker 1: Deck episodes. But there is another thing that comes into 193 00:11:36,640 --> 00:11:41,360 Speaker 1: play when we consider this idea of fiction purposefully predicting 194 00:11:41,559 --> 00:11:44,440 Speaker 1: actual events in the future, usually bad ones, and that 195 00:11:44,640 --> 00:11:49,840 Speaker 1: is the dangerous deceptive traits of the human mind. 196 00:11:50,440 --> 00:11:53,920 Speaker 2: Yeah, it's not just the people creating the fiction and 197 00:11:53,960 --> 00:11:57,760 Speaker 2: the entertainment. It's the people who are consuming it, actively, 198 00:11:58,080 --> 00:11:59,400 Speaker 2: watching and hearing it right. 199 00:11:59,480 --> 00:12:02,920 Speaker 1: And there's this assumption that is so prevalent in the 200 00:12:02,960 --> 00:12:08,880 Speaker 1: past and today that goes like this. Someone watching a 201 00:12:09,000 --> 00:12:13,120 Speaker 1: film or reading a book, even to a lesser degree, 202 00:12:13,440 --> 00:12:18,160 Speaker 1: is passively experiencing the vision or the creation that the 203 00:12:18,200 --> 00:12:23,880 Speaker 1: author made, or the director made, or whomever. But in actuality, 204 00:12:24,400 --> 00:12:31,600 Speaker 1: all audience members are collaborators. Whether it's a piece of 205 00:12:31,760 --> 00:12:35,120 Speaker 1: art like a sculpture, whether it's a television show, whether 206 00:12:35,160 --> 00:12:39,120 Speaker 1: it's a book, we are helping to create the story 207 00:12:39,559 --> 00:12:44,959 Speaker 1: by the mere act of observing and interpreting it. What 208 00:12:45,000 --> 00:12:50,600 Speaker 1: this all means is that people are really self obsessed pathologically. 209 00:12:51,240 --> 00:12:54,240 Speaker 1: And don't beat yourself up if you feel like this 210 00:12:54,320 --> 00:12:57,640 Speaker 1: is an unfair characterization, or if you feel bad and 211 00:12:57,679 --> 00:13:01,320 Speaker 1: you think, oh, I'm a little bit narcissistic, because everybody is. 212 00:13:02,679 --> 00:13:06,040 Speaker 1: Everybody is, and we're all the main characters of our 213 00:13:06,040 --> 00:13:09,880 Speaker 1: own stories, the center of our individual universes, the protagonist 214 00:13:09,960 --> 00:13:13,440 Speaker 1: around which this great world swings. In addition to this, 215 00:13:13,520 --> 00:13:18,719 Speaker 1: we're also fantastically talented analyzers and pattern recognizers. It's one 216 00:13:18,720 --> 00:13:21,720 Speaker 1: of the reasons our species runs so much of the 217 00:13:21,760 --> 00:13:27,040 Speaker 1: planet rather than say an octopus race or a super 218 00:13:27,080 --> 00:13:29,600 Speaker 1: intelligent empire of corvids. 219 00:13:30,000 --> 00:13:31,920 Speaker 2: You know, I want to see those. 220 00:13:32,000 --> 00:13:34,720 Speaker 1: I would be super in the crows that run the world. 221 00:13:36,720 --> 00:13:38,640 Speaker 1: I don't know why that's supposed to be a caca 222 00:13:38,720 --> 00:13:39,360 Speaker 1: in the distance. 223 00:13:39,480 --> 00:13:41,560 Speaker 2: Oh yeah, no, it worked, I heard it. 224 00:13:41,640 --> 00:13:46,080 Speaker 1: Are we predictively programming the cor the corvids? 225 00:13:46,280 --> 00:13:46,600 Speaker 2: Yes? 226 00:13:47,360 --> 00:13:50,760 Speaker 1: So this is this is dangerous because with this perspective 227 00:13:50,840 --> 00:13:53,640 Speaker 1: right as a starting point, we can make two assumptions. 228 00:13:54,200 --> 00:13:57,480 Speaker 1: We will say a pattern exists because we perceive it 229 00:13:57,520 --> 00:14:00,960 Speaker 1: to exist, and because we are the most important thing 230 00:14:00,960 --> 00:14:04,640 Speaker 1: in our experience, every pattern we perceive inherently in some 231 00:14:04,760 --> 00:14:09,000 Speaker 1: way applies to us. One thing that people don't like 232 00:14:09,080 --> 00:14:12,320 Speaker 1: to hear in general is that there's something big going 233 00:14:12,400 --> 00:14:13,640 Speaker 1: on and it has nothing to. 234 00:14:13,600 --> 00:14:13,960 Speaker 2: Do with you. 235 00:14:14,679 --> 00:14:17,320 Speaker 1: Yeah, you know what I mean. I mean that's why 236 00:14:17,360 --> 00:14:22,480 Speaker 1: so much scientific literature became so controversial. Charles Darwin when 237 00:14:22,520 --> 00:14:25,880 Speaker 1: he releases The Origin on the Origin Species in eighteen 238 00:14:25,960 --> 00:14:30,600 Speaker 1: fifty nine, he's saying, Oh, no, humans, you're not special, 239 00:14:31,080 --> 00:14:34,360 Speaker 1: You're just you're part of a thing. We're part of 240 00:14:34,400 --> 00:14:37,800 Speaker 1: a pattern, part of a pattern that has existed long 241 00:14:37,840 --> 00:14:41,400 Speaker 1: before you and will continue long after you are dust. 242 00:14:41,840 --> 00:14:44,000 Speaker 2: Yeah, and then you're like Yeah, whatever, Darwin, get out 243 00:14:44,000 --> 00:14:48,119 Speaker 2: of here, right, go back to looking at islands. 244 00:14:49,520 --> 00:14:53,480 Speaker 1: Yeah, get back on the beagle. But that's the problem. 245 00:14:53,560 --> 00:14:58,120 Speaker 1: And without delving too far into the weeds on this, 246 00:14:58,920 --> 00:15:02,640 Speaker 1: it essentially means that you and I and Paul and 247 00:15:02,680 --> 00:15:08,000 Speaker 1: everyone we are neither neutral creators nor are we a 248 00:15:08,040 --> 00:15:12,560 Speaker 1: neutral audience, and we're at an impasse because if no 249 00:15:12,640 --> 00:15:18,680 Speaker 1: one's objective, then where's the truth? Ooh. 250 00:15:18,760 --> 00:15:22,960 Speaker 2: Ultimately, oh man, this sounds like an even bigger episode. 251 00:15:24,680 --> 00:15:27,040 Speaker 1: So all right, yeah, I'll buy what's going on. 252 00:15:27,640 --> 00:15:30,600 Speaker 2: Just talking about the nature of truth. We touch on 253 00:15:30,680 --> 00:15:32,840 Speaker 2: it every once in a while when we get into 254 00:15:32,840 --> 00:15:37,440 Speaker 2: discussing sources of news, but when you really think about 255 00:15:37,480 --> 00:15:42,480 Speaker 2: it this way from that deep of a psychological perspective, Oh, 256 00:15:43,560 --> 00:15:45,200 Speaker 2: makes the mind wander a bit. 257 00:15:45,800 --> 00:15:51,680 Speaker 1: Yes, And we know that this pattern recognition can also 258 00:15:51,720 --> 00:15:54,920 Speaker 1: be used to make the mind wander because we're in 259 00:15:54,960 --> 00:16:01,960 Speaker 1: addition to being endearingly self obsessed, we're all also big 260 00:16:02,000 --> 00:16:05,880 Speaker 1: fans of following rituals and cues and social mores. They 261 00:16:05,880 --> 00:16:10,200 Speaker 1: are more patterns to recognize, and we're easily swayed by 262 00:16:10,360 --> 00:16:15,200 Speaker 1: subtle changes and routine of form. There's a great there's 263 00:16:15,240 --> 00:16:17,560 Speaker 1: a great book called the Illuminatus trilogy, which I think 264 00:16:17,560 --> 00:16:19,800 Speaker 1: we've talked about before, and I just want to put 265 00:16:19,800 --> 00:16:22,640 Speaker 1: this in because it's one reference to this kind of 266 00:16:22,680 --> 00:16:23,720 Speaker 1: social hacking. 267 00:16:23,840 --> 00:16:26,360 Speaker 2: That's where the Illuminati game finds its origins. 268 00:16:26,400 --> 00:16:29,400 Speaker 1: By the way, Oh yeah, no way, really, that's cool. 269 00:16:30,040 --> 00:16:34,600 Speaker 1: So this novel, which is incredibly incredibly long, presented as 270 00:16:34,760 --> 00:16:39,000 Speaker 1: a trilogy of smaller works. It depicts a number of 271 00:16:39,000 --> 00:16:42,520 Speaker 1: things in a rather convoluted plot. And we don't want 272 00:16:42,520 --> 00:16:45,240 Speaker 1: to spoil it for you, but there is one scene 273 00:16:45,240 --> 00:16:51,240 Speaker 1: in there where someone changes or adds to the signs 274 00:16:51,600 --> 00:16:54,880 Speaker 1: at this department store, a relatively high end department store 275 00:16:55,600 --> 00:16:58,600 Speaker 1: that has something like, you know, the kind of thing 276 00:16:58,680 --> 00:17:00,760 Speaker 1: you would read outside of a fitting room, like wait 277 00:17:00,760 --> 00:17:02,920 Speaker 1: for an intendant to help you or something. The addition 278 00:17:03,000 --> 00:17:04,840 Speaker 1: they make is they just put no spitting. 279 00:17:05,280 --> 00:17:09,439 Speaker 2: Oh okay, so well, I mean, nobody wants to do 280 00:17:09,480 --> 00:17:11,520 Speaker 2: that anyway, we only spit. 281 00:17:11,520 --> 00:17:13,520 Speaker 1: No one should be But the hack about it, the 282 00:17:14,040 --> 00:17:17,840 Speaker 1: subtle change in that form, makes people think this is 283 00:17:18,040 --> 00:17:22,600 Speaker 1: a place of a much lower socioeconomic class. This is 284 00:17:22,640 --> 00:17:26,159 Speaker 1: a place where people are just spitting on the floor, 285 00:17:26,440 --> 00:17:29,920 Speaker 1: you know, like a roadhouse in a movie. Oh wow, 286 00:17:30,800 --> 00:17:33,240 Speaker 1: this was a work of fiction. But this kind of 287 00:17:33,480 --> 00:17:37,520 Speaker 1: stuff can work, and can work really well. This also 288 00:17:37,560 --> 00:17:40,920 Speaker 1: goes into the nature of propaganda. But the question is 289 00:17:40,960 --> 00:17:43,439 Speaker 1: how far does this sort of stuff go. Could some 290 00:17:43,480 --> 00:17:48,879 Speaker 1: groups or groups really be normalizing future events through the 291 00:17:49,000 --> 00:17:52,440 Speaker 1: lens of mass media and fiction, And if so. 292 00:17:53,440 --> 00:17:56,680 Speaker 2: Why, Yeah, why We're going to talk about that right 293 00:17:56,680 --> 00:17:58,240 Speaker 2: after a quick word from our sponsor. 294 00:18:04,640 --> 00:18:09,240 Speaker 1: Here's where it gets crazy. Alan Watt described predictive programming 295 00:18:09,320 --> 00:18:13,879 Speaker 1: as a subtle form of psychological conditioning provided by the 296 00:18:13,960 --> 00:18:17,679 Speaker 1: media to acquaint the public with planned societal changes to 297 00:18:17,720 --> 00:18:21,679 Speaker 1: be implemented by our leaders. If and when these changes 298 00:18:21,720 --> 00:18:25,000 Speaker 1: are put through, the public will already be familiarized with 299 00:18:25,040 --> 00:18:28,760 Speaker 1: them and will accept them as natural progressions, thus lessening 300 00:18:28,880 --> 00:18:31,280 Speaker 1: possible public resistance and commotion. 301 00:18:34,200 --> 00:18:38,240 Speaker 2: When I hear the words of Alan Wad, I always 302 00:18:39,480 --> 00:18:42,359 Speaker 2: feel that there is truth there. It just sounds like 303 00:18:42,400 --> 00:18:46,280 Speaker 2: there is Again, it's about how he writes and how 304 00:18:46,320 --> 00:18:51,080 Speaker 2: he how he spoke. But what I'm hearing here is 305 00:18:51,119 --> 00:18:54,520 Speaker 2: something that I've heard for a long time about the 306 00:18:54,680 --> 00:19:02,119 Speaker 2: concept of aliens and the concept that movies and television 307 00:19:02,119 --> 00:19:06,800 Speaker 2: and novels for decades and decades have been prepping humans 308 00:19:07,240 --> 00:19:14,720 Speaker 2: to accept that aliens have invaded or to accept alien 309 00:19:14,800 --> 00:19:18,600 Speaker 2: races from other planets, extraterrestrials to being a part of 310 00:19:18,640 --> 00:19:23,560 Speaker 2: our world. And again, when you put it in that way, 311 00:19:24,080 --> 00:19:30,439 Speaker 2: our leaders subtly psychologically conditioning us. I don't know. It 312 00:19:30,440 --> 00:19:31,840 Speaker 2: almost sounds like it could be real. 313 00:19:33,960 --> 00:19:34,879 Speaker 1: Yeah you think so. 314 00:19:35,240 --> 00:19:37,640 Speaker 2: I love it sounds like it because of the way 315 00:19:37,640 --> 00:19:38,480 Speaker 2: he writes, I'm telling you. 316 00:19:39,880 --> 00:19:43,720 Speaker 1: I think you're bringing up a really crucial point here, 317 00:19:44,200 --> 00:19:49,320 Speaker 1: one of the primary examples of predicted programming that the 318 00:19:49,400 --> 00:19:52,320 Speaker 1: advocates of this belief point out is almost always going 319 00:19:52,359 --> 00:19:56,160 Speaker 1: to be extraterrestrials, right, like a slow, decade long preparation 320 00:19:56,320 --> 00:20:02,320 Speaker 1: for disclosure. Hey, guys, Spielberg was right, aliens are around. 321 00:20:02,560 --> 00:20:05,359 Speaker 1: We thought the best way to tell you instead of 322 00:20:05,400 --> 00:20:07,480 Speaker 1: just ripping the band aid off, we thought we would 323 00:20:07,520 --> 00:20:10,640 Speaker 1: tell you over over like sixty years, get used to it, 324 00:20:10,680 --> 00:20:15,000 Speaker 1: get you know, settle in, settle in to this tub 325 00:20:15,119 --> 00:20:16,520 Speaker 1: of weirdness slowly. 326 00:20:16,600 --> 00:20:20,399 Speaker 2: Well, yeah, that way the reaction is, you know, less 327 00:20:21,359 --> 00:20:27,600 Speaker 2: oh my god, ah, and it's more like, oh wow, cool. 328 00:20:28,960 --> 00:20:31,439 Speaker 2: I think that's the whole point. If you believe this 329 00:20:31,480 --> 00:20:31,960 Speaker 2: to be here. 330 00:20:31,840 --> 00:20:34,000 Speaker 1: And there are millions of people waiting to go I 331 00:20:34,160 --> 00:20:37,600 Speaker 1: knew it, Yes, I knew it the whole time. So 332 00:20:37,680 --> 00:20:39,160 Speaker 1: what are some other examples of this? 333 00:20:39,760 --> 00:20:43,200 Speaker 2: Oh? There are so stink in many of these. Okay, 334 00:20:43,320 --> 00:20:47,400 Speaker 2: let's start with the top one of this one. Ben, 335 00:20:47,480 --> 00:20:50,200 Speaker 2: you put in the outline first. But this is the 336 00:20:50,240 --> 00:20:54,000 Speaker 2: one that I thought about when we even said the 337 00:20:54,040 --> 00:20:57,399 Speaker 2: phrase predictive programming. And it's the pilot episode of The 338 00:20:57,440 --> 00:20:59,920 Speaker 2: Lone Gunman, which you know, if you were an ext 339 00:21:00,000 --> 00:21:02,359 Speaker 2: Files fan, you know who the Loan Gunmen are. You 340 00:21:02,440 --> 00:21:04,679 Speaker 2: watched The Loan Gunman when it came out as a 341 00:21:04,680 --> 00:21:09,960 Speaker 2: spin off and it was awesome. But in the pilot episode, 342 00:21:10,480 --> 00:21:13,640 Speaker 2: it features as part of the plot and an attempted 343 00:21:14,720 --> 00:21:18,640 Speaker 2: bombing or destruction at least of the World Trade Center, 344 00:21:18,680 --> 00:21:24,719 Speaker 2: the Twin Towers, and specifically, it was a hijacked commercial 345 00:21:24,760 --> 00:21:28,359 Speaker 2: airliner that would be flown into the World Trade Center, 346 00:21:28,640 --> 00:21:31,439 Speaker 2: and it was a false flag attack by this rogue 347 00:21:31,520 --> 00:21:37,200 Speaker 2: group of government officials. And you know, since that came 348 00:21:37,200 --> 00:21:40,880 Speaker 2: out before the September eleventh, two thousand and one attacks, 349 00:21:41,600 --> 00:21:47,640 Speaker 2: this is looked at as WHOA, these guys knew something, right, 350 00:21:47,720 --> 00:21:50,800 Speaker 2: they put it out there. They're trying to warn us 351 00:21:50,840 --> 00:21:52,960 Speaker 2: that this was going to happen, and a lot of 352 00:21:53,000 --> 00:21:55,960 Speaker 2: the speaking about it early early on when it occurred 353 00:21:56,080 --> 00:22:00,600 Speaker 2: was it was a warning rather than a predict programming 354 00:22:00,640 --> 00:22:03,080 Speaker 2: getting you used to it. It was like somebody's trying 355 00:22:03,119 --> 00:22:05,480 Speaker 2: to tell us that this is going to happen. 356 00:22:05,680 --> 00:22:10,000 Speaker 1: Yeah, yeah, yeah, And this is, as you said, an 357 00:22:10,000 --> 00:22:15,600 Speaker 1: incredibly prevalent example. It gets brought up continually, but it's 358 00:22:15,640 --> 00:22:18,960 Speaker 1: not the only example, right. Oh No, there was one 359 00:22:19,600 --> 00:22:23,960 Speaker 1: that we found referencing the film The Dark Knight Rises 360 00:22:24,000 --> 00:22:27,280 Speaker 1: by Christopher Nolan. There's a map in The Dark Knight 361 00:22:27,359 --> 00:22:30,679 Speaker 1: Rises that has a location marked Sandy Hook. 362 00:22:31,760 --> 00:22:36,919 Speaker 2: Yes, Commissioner Gordon's going over the attack plan for you know, 363 00:22:37,040 --> 00:22:40,000 Speaker 2: going in. It's the scene right before they actually go 364 00:22:40,080 --> 00:22:44,080 Speaker 2: into the stadium for one of the big climactic scenes. 365 00:22:44,119 --> 00:22:48,440 Speaker 2: There spoiler alert for The Dark Knight Rises. But yeah, 366 00:22:48,480 --> 00:22:50,840 Speaker 2: there's a map and it does say Sandy Hook. 367 00:22:50,640 --> 00:22:54,960 Speaker 1: On it, so that one's not near his persuasive though, 368 00:22:56,000 --> 00:22:57,760 Speaker 1: because Sandy Hook is a place. 369 00:22:57,800 --> 00:23:01,520 Speaker 2: Yes, yes, And why it's weird because it says strike 370 00:23:01,640 --> 00:23:05,040 Speaker 2: zone one and it came you know usually what this 371 00:23:05,119 --> 00:23:08,200 Speaker 2: has to do with our release dates. We have proximity 372 00:23:08,240 --> 00:23:11,880 Speaker 2: of release dates being before you know, and let's say 373 00:23:12,000 --> 00:23:17,560 Speaker 2: some given time frame year or two or even months. Sometimes. 374 00:23:17,920 --> 00:23:22,760 Speaker 1: Yeah, again that's the nature of the perception. Yes, right, 375 00:23:22,800 --> 00:23:28,400 Speaker 1: we found the pattern. And another example would be Family Guy, 376 00:23:28,560 --> 00:23:32,840 Speaker 1: and a Family Guy is replete with cutaway jokes and 377 00:23:33,240 --> 00:23:36,960 Speaker 1: tangents that don't really go anywhere. It's just a it's 378 00:23:36,960 --> 00:23:42,000 Speaker 1: a quick bit. But there's an episode or a gag 379 00:23:42,200 --> 00:23:45,680 Speaker 1: in a Family Guy episode rather that concerns the Boston Marathon. 380 00:23:45,960 --> 00:23:51,440 Speaker 2: Yeah, it's an episode called Turban Cowboy that came out 381 00:23:51,800 --> 00:23:54,840 Speaker 2: and there's a scene in it, or let's let's say 382 00:23:54,960 --> 00:23:57,880 Speaker 2: a scene a breakaway, a cutaway sure to a quick 383 00:23:57,880 --> 00:24:00,840 Speaker 2: thing where Peter Griffin wins the b Boston Marathon by 384 00:24:00,880 --> 00:24:03,760 Speaker 2: driving his car through all of the other competitors and 385 00:24:04,160 --> 00:24:06,679 Speaker 2: kills a whole bunch of people. And then later on 386 00:24:06,760 --> 00:24:09,200 Speaker 2: in the episode. You might know this just from the 387 00:24:09,880 --> 00:24:12,320 Speaker 2: or you might glean it from the title Turbine Cowboy, 388 00:24:12,920 --> 00:24:17,359 Speaker 2: Peter accidentally joins up with a terrorist cell and he 389 00:24:17,560 --> 00:24:21,359 Speaker 2: uses a cell phone to call his buddy Mahmoud and 390 00:24:21,520 --> 00:24:25,080 Speaker 2: ends up setting off two bombs because he's using the 391 00:24:25,119 --> 00:24:26,000 Speaker 2: cell phone or whatever. 392 00:24:26,320 --> 00:24:29,400 Speaker 1: You can also tell that Family Guy has an ongoing 393 00:24:29,440 --> 00:24:30,760 Speaker 1: tendency to be pretty. 394 00:24:30,560 --> 00:24:36,120 Speaker 2: Racist, racist and you know, yeah, they at least push 395 00:24:36,160 --> 00:24:39,320 Speaker 2: the boundaries. Let's say they push the boundaries creatively there. 396 00:24:40,080 --> 00:24:46,120 Speaker 1: Right, right, And this example, of course makes people believe 397 00:24:46,160 --> 00:24:53,000 Speaker 1: in predictive programming, think they were somehow depicting the later 398 00:24:53,160 --> 00:24:57,359 Speaker 1: disasters that would happen at the Boston Marathon. Yes, there's 399 00:24:57,440 --> 00:25:02,520 Speaker 1: another example with the movie Knowing, right that you had 400 00:25:02,600 --> 00:25:06,960 Speaker 1: mentioned the Deepwater Horizon catastrophe at the top of the episode. 401 00:25:06,960 --> 00:25:08,280 Speaker 1: Knowing has something to do with this. 402 00:25:08,680 --> 00:25:11,919 Speaker 2: Yeah, So if you have not seen Knowing, it's a 403 00:25:11,960 --> 00:25:15,880 Speaker 2: two thousand and nine Nick Cage movie, and it's all 404 00:25:15,920 --> 00:25:20,320 Speaker 2: based on predictive programming essentially, or a different version of 405 00:25:20,359 --> 00:25:26,400 Speaker 2: predictive programming. Numbers and codes hidden amongst things that mean 406 00:25:26,520 --> 00:25:32,160 Speaker 2: other things and predict the future. In that movie, right 407 00:25:32,200 --> 00:25:35,560 Speaker 2: in the opening scene, Nicholas Cage is watching television and 408 00:25:35,600 --> 00:25:39,040 Speaker 2: on the news comes this image and a news story 409 00:25:39,119 --> 00:25:42,560 Speaker 2: about an oil rig that's on fire in the Gulf 410 00:25:42,600 --> 00:25:45,920 Speaker 2: of Mexico. And again, this is a two thousand and 411 00:25:46,000 --> 00:25:50,720 Speaker 2: nine movie. A year later, the Deepwater Horizon disaster occurs, 412 00:25:50,760 --> 00:25:53,640 Speaker 2: where an oil rig in the Gulf of Mexico explodes 413 00:25:54,280 --> 00:25:58,480 Speaker 2: and I think eleven people were missing. Immediately when it occurred, 414 00:25:58,680 --> 00:26:02,359 Speaker 2: and if you were watching television at the time immediately 415 00:26:02,359 --> 00:26:06,320 Speaker 2: when the news footage came out, it looks crazy similar 416 00:26:06,680 --> 00:26:09,080 Speaker 2: to the footage that's shown in the movie, knowing that 417 00:26:09,200 --> 00:26:10,000 Speaker 2: you might have seen. 418 00:26:10,400 --> 00:26:16,400 Speaker 1: Okay, so this footage is just is it a crucial 419 00:26:16,440 --> 00:26:18,720 Speaker 1: part of the film or is it something that just 420 00:26:18,800 --> 00:26:20,040 Speaker 1: happens in the film. 421 00:26:20,400 --> 00:26:22,840 Speaker 2: It's something that happens within the first few moments, and 422 00:26:22,920 --> 00:26:27,240 Speaker 2: it's literally a television that's being shown. You know, the 423 00:26:27,320 --> 00:26:30,800 Speaker 2: camera is shooting a television showing the news. So it's 424 00:26:30,840 --> 00:26:32,639 Speaker 2: not a massive thing. It's just giving you kind of 425 00:26:32,640 --> 00:26:34,679 Speaker 2: current events setting up the story. 426 00:26:35,000 --> 00:26:37,160 Speaker 1: Because all it is you could understand. I could totally 427 00:26:37,240 --> 00:26:41,919 Speaker 1: understand though, how somebody would be I would see that 428 00:26:41,960 --> 00:26:44,719 Speaker 1: in theaters and then see the evening news later if 429 00:26:44,760 --> 00:26:47,680 Speaker 1: they caught a matinee or something like that, that's disturbing. 430 00:26:47,720 --> 00:26:50,919 Speaker 2: Well, yeah, your your perspective is now Nicholas Cage is 431 00:26:50,920 --> 00:26:53,679 Speaker 2: sitting on the couch or whatever watching the television that 432 00:26:53,720 --> 00:26:56,280 Speaker 2: you watch Nick Cage watch in the movie. 433 00:26:57,400 --> 00:26:59,240 Speaker 1: I mean, I could you know, I could see where 434 00:26:59,280 --> 00:27:01,960 Speaker 1: that would be at least creepy to people. 435 00:27:02,200 --> 00:27:06,840 Speaker 2: Yeah. Absolutely, Oh, but the the you know, we talked 436 00:27:06,840 --> 00:27:11,359 Speaker 2: about Family Guy, but the granddaddy of Family Guy, the Simpsons. 437 00:27:12,240 --> 00:27:16,399 Speaker 2: They have an incredible track record of predicting various future 438 00:27:16,440 --> 00:27:20,000 Speaker 2: events and trends and things like this, And honestly, it 439 00:27:20,000 --> 00:27:21,800 Speaker 2: could be a whole episode of just hey, what did 440 00:27:21,840 --> 00:27:23,560 Speaker 2: the how did the Simpsons know that? 441 00:27:23,720 --> 00:27:26,800 Speaker 1: Oh boy? Yeah, and there's one that you had brought 442 00:27:26,880 --> 00:27:29,440 Speaker 1: up off air before too, Oh yeah. 443 00:27:29,240 --> 00:27:31,720 Speaker 2: This is this is a great one. You'll find this 444 00:27:31,840 --> 00:27:34,680 Speaker 2: all over the internet, mostly on Facebook is where I've 445 00:27:34,720 --> 00:27:38,080 Speaker 2: seen it, and a couple other blog sites have reposted it. 446 00:27:38,440 --> 00:27:42,720 Speaker 2: But it's the Donald Trump presidency. There's so okay. On 447 00:27:42,800 --> 00:27:45,639 Speaker 2: June sixteenth, twenty fifteen, Donald Trump announced that he was 448 00:27:45,680 --> 00:27:48,880 Speaker 2: going to run for president, and you remember the whole deal, 449 00:27:49,040 --> 00:27:52,600 Speaker 2: coming down the escalator, waving to people. There are people 450 00:27:52,640 --> 00:27:57,080 Speaker 2: on the balcony with signs. Well, according to numerous posts 451 00:27:57,520 --> 00:28:00,280 Speaker 2: in the year two thousand, the Simpsons made this episode, 452 00:28:00,320 --> 00:28:02,800 Speaker 2: which is true. They made an episode called bart Bart 453 00:28:03,000 --> 00:28:07,040 Speaker 2: to the Future, and according to these posts, not only 454 00:28:07,080 --> 00:28:09,840 Speaker 2: did they predict the Trump presidency, they also predicted the 455 00:28:10,000 --> 00:28:13,800 Speaker 2: exact way in which his campaign would be announced. Again, 456 00:28:13,920 --> 00:28:16,920 Speaker 2: everything from the people standing on the balconies with signs 457 00:28:17,280 --> 00:28:22,120 Speaker 2: to Donald Trump going down the escalator. It's uncanny, it's insane, 458 00:28:22,160 --> 00:28:27,639 Speaker 2: it's the exact same sequence. Here's the problem, and you'll 459 00:28:27,640 --> 00:28:31,400 Speaker 2: notice this if you actually watch a clip from the 460 00:28:31,480 --> 00:28:38,920 Speaker 2: supposed Simpson's video. The animation quality is very high, and 461 00:28:39,280 --> 00:28:43,880 Speaker 2: you imagine the animation quality, you know, let's say fifteen 462 00:28:43,960 --> 00:28:47,360 Speaker 2: years later at least so like to twenty fifteen compared 463 00:28:47,400 --> 00:28:53,680 Speaker 2: to two thousand. Sure it changed a lot. And then 464 00:28:53,680 --> 00:28:56,000 Speaker 2: you do a little digging and then you realize all 465 00:28:56,040 --> 00:29:00,400 Speaker 2: of these posts are actually being taken from a July 466 00:29:00,720 --> 00:29:07,040 Speaker 2: twenty fifteen promotion of the next Simpsons season, which specifically, 467 00:29:07,120 --> 00:29:09,600 Speaker 2: it's a video that was posted to the YouTube channel 468 00:29:10,000 --> 00:29:14,000 Speaker 2: Animation on Fox. It was July seventh, twenty fifteen when 469 00:29:14,000 --> 00:29:17,120 Speaker 2: it was posted, and it's called Trump Tastic Voyage Season 470 00:29:17,160 --> 00:29:20,920 Speaker 2: twenty five The Simpsons, and what it is is a 471 00:29:21,320 --> 00:29:25,960 Speaker 2: perfect recreation of the event rather than a prediction of 472 00:29:26,000 --> 00:29:28,400 Speaker 2: the announcement of what was going to happen. But the 473 00:29:28,440 --> 00:29:30,160 Speaker 2: really interesting thing is if you go back to the 474 00:29:30,160 --> 00:29:34,440 Speaker 2: two thousand episode The Bart to the Future, they do 475 00:29:34,680 --> 00:29:40,560 Speaker 2: speak directly to Trump being president, but it's just an aside. 476 00:29:40,720 --> 00:29:43,080 Speaker 2: I think it's Maggie who says this, Oh God, there's 477 00:29:43,080 --> 00:29:44,920 Speaker 2: so much to explain here. But it's in the future. 478 00:29:44,960 --> 00:29:47,800 Speaker 2: It's like a vision of the future within the world 479 00:29:47,800 --> 00:29:50,160 Speaker 2: of The Simpsons. And in this vision of the future, 480 00:29:50,200 --> 00:29:54,000 Speaker 2: I want to say, it's Maggie the baby but now 481 00:29:54,000 --> 00:29:59,240 Speaker 2: grown up, who mentions something about something about how horrible 482 00:29:59,520 --> 00:30:03,000 Speaker 2: the Trump legacy was, so they're trying to fix like 483 00:30:03,080 --> 00:30:05,640 Speaker 2: all the budget or something. It's like I throw away 484 00:30:05,680 --> 00:30:09,040 Speaker 2: line essentially, but as a joke of Trump was president. 485 00:30:09,160 --> 00:30:13,400 Speaker 1: So this actual this actually happened before the Trump presidency. 486 00:30:13,560 --> 00:30:17,240 Speaker 1: But people have been conflating this with the later recreation 487 00:30:18,000 --> 00:30:20,480 Speaker 1: of the campaign announcement. 488 00:30:20,520 --> 00:30:22,280 Speaker 2: Oh yeah, because it would be much more compelling if 489 00:30:22,320 --> 00:30:25,600 Speaker 2: this was actually what happened. And this is just naming 490 00:30:25,640 --> 00:30:28,280 Speaker 2: a few of these Oh my god. Yeah, there's so many. 491 00:30:28,400 --> 00:30:33,320 Speaker 2: There's so so many, And our first immediate questions are 492 00:30:33,840 --> 00:30:38,960 Speaker 2: pretty easy, Right, how is this different from a single 493 00:30:39,080 --> 00:30:43,160 Speaker 2: creative team proposing or depicting a social change they think 494 00:30:43,240 --> 00:30:47,600 Speaker 2: should happen. You know, if like the Star Trek example, 495 00:30:47,840 --> 00:30:52,200 Speaker 2: or let's say that the creators of The Simpsons really thought, 496 00:30:52,720 --> 00:30:55,120 Speaker 2: you know, the world will be a better place and 497 00:30:55,160 --> 00:30:58,360 Speaker 2: the best way to get it there is for us 498 00:30:58,400 --> 00:31:02,920 Speaker 2: to push the the greatness of a Donald Trump presidency. 499 00:31:03,000 --> 00:31:07,320 Speaker 2: Right that, Like, how is it different in this case, 500 00:31:07,520 --> 00:31:11,360 Speaker 2: in the Simpson's case, they're implying that it was a 501 00:31:11,360 --> 00:31:12,520 Speaker 2: bad thing for it. 502 00:31:12,440 --> 00:31:15,200 Speaker 1: To happen, Right, Yeah, it was a joke, it was, 503 00:31:15,400 --> 00:31:16,320 Speaker 1: And it was a joke. 504 00:31:16,840 --> 00:31:16,960 Speaker 2: You know. 505 00:31:17,040 --> 00:31:18,880 Speaker 1: It sounds like it's kind of a throwaway joke. 506 00:31:19,120 --> 00:31:20,640 Speaker 2: It's what it you know, sort of felt like. 507 00:31:20,800 --> 00:31:25,760 Speaker 1: But yeah, and then the other question is, how are 508 00:31:25,840 --> 00:31:31,720 Speaker 1: these events different from you know, an accident. Yeah, I know, 509 00:31:32,600 --> 00:31:38,040 Speaker 1: I know. As pattern seekers and master analyst all where, 510 00:31:38,160 --> 00:31:40,640 Speaker 1: we're not big fans of the idea of something being 511 00:31:40,680 --> 00:31:44,800 Speaker 1: an accident or a coincidence or just happening without a 512 00:31:44,840 --> 00:31:50,320 Speaker 1: real purpose behind it. First things first, from a psychological angle, 513 00:31:51,280 --> 00:31:56,640 Speaker 1: there's a problem with this idea of predictive programming because 514 00:31:57,240 --> 00:32:01,800 Speaker 1: we tend to model our behavior based less on an 515 00:32:01,840 --> 00:32:05,000 Speaker 1: object or an event and more on a character's reaction 516 00:32:05,640 --> 00:32:09,719 Speaker 1: to that object or event. There's a great experiment called 517 00:32:10,400 --> 00:32:16,440 Speaker 1: Bobo Doll. The Bobo Doll experiments in this is Bobo 518 00:32:16,600 --> 00:32:20,080 Speaker 1: is a clown. It's an inflatable clown, like punching bad clown. 519 00:32:21,240 --> 00:32:23,320 Speaker 2: All right, I can't hear this? 520 00:32:23,440 --> 00:32:25,760 Speaker 1: Do what me a wave? When when it passed this 521 00:32:25,840 --> 00:32:32,880 Speaker 1: part you come back and no stay stay this. Psychologist 522 00:32:32,880 --> 00:32:38,200 Speaker 1: Albert ben Dura conducted an experiment a series of studies 523 00:32:38,480 --> 00:32:43,640 Speaker 1: using an inflatable punching bad clown called the Bobo Doll, 524 00:32:44,560 --> 00:32:49,040 Speaker 1: and they got two groups of children. In one group, 525 00:32:49,280 --> 00:32:52,320 Speaker 1: each kid was shown a short film of an adult 526 00:32:52,760 --> 00:32:56,280 Speaker 1: hitting the doll, just smacking the grease paint off it. 527 00:32:57,520 --> 00:33:00,800 Speaker 1: In the other group, the adult in the film ignored 528 00:33:00,840 --> 00:33:04,720 Speaker 1: the doll, and after watching whichever film they were assigned to, 529 00:33:05,120 --> 00:33:07,280 Speaker 1: each kid was put in a room with a variety 530 00:33:07,320 --> 00:33:10,320 Speaker 1: of toys, including a Bobo doll. The children who have 531 00:33:10,400 --> 00:33:14,440 Speaker 1: been shown the aggressive video overwhelmingly mimic the adult and 532 00:33:14,480 --> 00:33:16,800 Speaker 1: beat the snot out of the doll, while the other 533 00:33:16,920 --> 00:33:19,760 Speaker 1: kids just ignored it because that's what you're supposed to do. 534 00:33:20,360 --> 00:33:20,760 Speaker 2: Wow. 535 00:33:21,560 --> 00:33:25,760 Speaker 1: So this means that if we see, if we see 536 00:33:25,760 --> 00:33:31,520 Speaker 1: something depicting a future event, allegedly, what we're really paying 537 00:33:31,560 --> 00:33:34,760 Speaker 1: attention to psychologically is going to be how the characters 538 00:33:34,800 --> 00:33:39,240 Speaker 1: with whom we identify react to it. It's not going 539 00:33:39,280 --> 00:33:43,400 Speaker 1: to be a World Traits Center attack, it's not going 540 00:33:43,440 --> 00:33:45,720 Speaker 1: to be the Boston Marathon. It's going to be how 541 00:33:45,720 --> 00:33:50,000 Speaker 1: did the lone gunmen react to this? How did Peter 542 00:33:50,440 --> 00:33:53,280 Speaker 1: Griffin react to this? You know what I mean? Hmm, 543 00:33:54,120 --> 00:33:57,600 Speaker 1: And it sounds like a small difference, But it becomes 544 00:33:57,960 --> 00:34:03,920 Speaker 1: increasingly clear this is straight because the primary plank of 545 00:34:04,440 --> 00:34:08,440 Speaker 1: predictive programming as a theory is the idea that if 546 00:34:09,160 --> 00:34:13,040 Speaker 1: we see something in real life that we saw depicted 547 00:34:13,080 --> 00:34:17,839 Speaker 1: in fiction, we're going to have less of a reaction, right, 548 00:34:17,880 --> 00:34:22,400 Speaker 1: We're going to have resigned in difference or one quote, 549 00:34:23,040 --> 00:34:25,960 Speaker 1: a half hearted protest. 550 00:34:25,600 --> 00:34:28,720 Speaker 2: If we see something in real life that was predicted. 551 00:34:29,480 --> 00:34:34,640 Speaker 1: Okay, so if we say, oh, the CDC in Atlanta 552 00:34:35,120 --> 00:34:38,840 Speaker 1: blew up, but we saw several movies about that earlier, 553 00:34:39,200 --> 00:34:43,440 Speaker 1: so you know what evs Okay, that's the idea. But 554 00:34:43,880 --> 00:34:47,239 Speaker 1: what we see from the science behind this is that 555 00:34:47,680 --> 00:34:51,040 Speaker 1: the idea that just portraying something will elicit the same 556 00:34:51,080 --> 00:34:56,759 Speaker 1: reaction regardless of context is incorrect. There has to be 557 00:34:56,800 --> 00:35:00,680 Speaker 1: a context to the pattern to the action that observing. 558 00:35:01,520 --> 00:35:05,880 Speaker 1: So the doll itself, the object or the event is 559 00:35:05,920 --> 00:35:09,000 Speaker 1: not inherently it can be one thing or the other. 560 00:35:09,080 --> 00:35:11,760 Speaker 1: It's going to be how people react to it. Someone 561 00:35:11,880 --> 00:35:14,919 Speaker 1: hitting the doll, someone ignoring the doll. That's what people 562 00:35:14,920 --> 00:35:15,520 Speaker 1: are modeling. 563 00:35:16,440 --> 00:35:19,839 Speaker 2: Okay, now I'm going back and applying this to all 564 00:35:19,880 --> 00:35:25,200 Speaker 2: this stuff, including the Trump presidency. Oh man, okay, I'm 565 00:35:25,239 --> 00:35:28,600 Speaker 2: going to reevaluate all that now. Thank you, Ben. That's awesome. 566 00:35:29,680 --> 00:35:32,200 Speaker 2: So there's another thing we haven't even we haven't even 567 00:35:32,400 --> 00:35:37,200 Speaker 2: discussed yet, which is that this type of prediction in 568 00:35:37,360 --> 00:35:41,320 Speaker 2: some form of mass media does really occur. It can occur, 569 00:35:41,400 --> 00:35:45,800 Speaker 2: and it's an accident, completely in accident. Consider the eerily 570 00:35:45,920 --> 00:35:49,200 Speaker 2: prescient story that you had mentioned before we've talked about 571 00:35:49,200 --> 00:35:53,200 Speaker 2: on the show before that, Edgar Allan Poe had this 572 00:35:53,400 --> 00:35:56,920 Speaker 2: vision of survival cannibalism on a boat. 573 00:35:57,360 --> 00:36:00,760 Speaker 1: Yes, the only novel he published, The Narrative of Arthur 574 00:36:00,840 --> 00:36:06,640 Speaker 1: Gordon Pim of Nantucket in eighteen thirty eight. Oh yeah, 575 00:36:05,719 --> 00:36:12,640 Speaker 1: this is a baffling coincidence. And even if you consider 576 00:36:12,680 --> 00:36:15,719 Speaker 1: yourself a very, very skeptical person, you have to admit 577 00:36:15,760 --> 00:36:16,720 Speaker 1: it boggles the mind. 578 00:36:16,840 --> 00:36:19,000 Speaker 2: I think this might be the best example that I've 579 00:36:19,000 --> 00:36:19,480 Speaker 2: ever heard. 580 00:36:19,960 --> 00:36:22,319 Speaker 1: So part way through the book the Narrative of Arthur 581 00:36:22,360 --> 00:36:25,960 Speaker 1: Gordon Pim of Nantucket, the crew of a ship called 582 00:36:26,280 --> 00:36:30,840 Speaker 1: Grampus like Crampis, but with a g finds themselves on 583 00:36:31,280 --> 00:36:33,879 Speaker 1: a damaged boat and they have no food and they 584 00:36:33,880 --> 00:36:37,839 Speaker 1: have no water. They manage to catch a tortoise and 585 00:36:38,080 --> 00:36:42,560 Speaker 1: eat that, but eventually to survive they resort to cannibalism. 586 00:36:42,680 --> 00:36:44,920 Speaker 1: They draw straws to figure out which one of them 587 00:36:44,920 --> 00:36:48,400 Speaker 1: will be sacrificed to feed everyone else. The death straw 588 00:36:48,520 --> 00:36:52,719 Speaker 1: goes to a guy named Richard Parker, who's promptly stabbed 589 00:36:53,120 --> 00:36:55,919 Speaker 1: his head. His hands, and his feet are thrown overboard, 590 00:36:56,440 --> 00:36:59,600 Speaker 1: and this keeps the rest of the crew alive a 591 00:36:59,600 --> 00:37:03,719 Speaker 1: little longer, but the last two members are still on 592 00:37:03,719 --> 00:37:09,200 Speaker 1: the brink of death when they're finally rescued. Poe himself 593 00:37:09,280 --> 00:37:13,720 Speaker 1: thought it was a really silly story. Quote very silly, 594 00:37:13,800 --> 00:37:16,560 Speaker 1: if we're being accurate, very silly, those are his words. 595 00:37:17,480 --> 00:37:20,680 Speaker 1: Until that is in eighteen eighty four in real life, 596 00:37:20,719 --> 00:37:25,279 Speaker 1: when a yacht named the Minonette left England headed toward Australia. 597 00:37:26,600 --> 00:37:30,000 Speaker 1: The four man crew barely escaped in a lifeboat, but 598 00:37:30,080 --> 00:37:32,560 Speaker 1: they didn't have enough food eat, they didn't have enough 599 00:37:32,600 --> 00:37:35,480 Speaker 1: water to drink. They did catch a turtle and they 600 00:37:35,640 --> 00:37:40,280 Speaker 1: ate it, but just like the people in the story 601 00:37:40,320 --> 00:37:43,240 Speaker 1: by Poe, which is forty five years old, at that point, 602 00:37:43,520 --> 00:37:48,359 Speaker 1: they resorted to cannibalism. Specifically of a seventeen year old 603 00:37:48,480 --> 00:37:50,080 Speaker 1: named Richard Parker. 604 00:37:51,040 --> 00:37:56,920 Speaker 2: Isn't that insane? That is that is the crew. Honestly 605 00:37:57,040 --> 00:38:00,359 Speaker 2: the craziest version of something like this that I think 606 00:38:00,360 --> 00:38:01,200 Speaker 2: has ever occurred. 607 00:38:01,400 --> 00:38:05,080 Speaker 1: Yeah, I'm at a loss for words still thinking about it, 608 00:38:05,120 --> 00:38:05,479 Speaker 1: you know. 609 00:38:05,840 --> 00:38:07,879 Speaker 2: I mean, it's it's so crazy and it really does 610 00:38:07,960 --> 00:38:13,640 Speaker 2: make you reevaluate the life of Pie movie with Richard Parker. 611 00:38:13,719 --> 00:38:18,120 Speaker 1: The Yeah, the name of the tiger. So this this 612 00:38:18,160 --> 00:38:21,160 Speaker 1: is a really weird thing too, because it's not spot on. 613 00:38:22,120 --> 00:38:27,680 Speaker 1: And are we also just seeing what we want to see? 614 00:38:28,360 --> 00:38:29,840 Speaker 2: You know? That is the question? 615 00:38:31,040 --> 00:38:32,399 Speaker 1: And there's an elephant in the room. 616 00:38:32,520 --> 00:38:35,640 Speaker 2: Right, Oh, there's a big elephant in the room, and 617 00:38:35,680 --> 00:38:37,480 Speaker 2: we'll talk about it right after a quick word from 618 00:38:37,520 --> 00:38:38,080 Speaker 2: our sponsor. 619 00:38:44,680 --> 00:38:47,959 Speaker 1: All right, here we go finally, and kudos to us, Matt. 620 00:38:47,960 --> 00:38:51,560 Speaker 1: We got so far without acknowledging this. 621 00:38:52,440 --> 00:38:52,839 Speaker 2: We did. 622 00:38:53,000 --> 00:38:55,640 Speaker 1: Yeah, we played the reindeer games. We said if this is, 623 00:38:56,280 --> 00:38:58,759 Speaker 1: if this is so, this is what would happen. These 624 00:38:58,760 --> 00:39:04,440 Speaker 1: are things we consider from pull different angles. But the big, 625 00:39:05,080 --> 00:39:07,680 Speaker 1: the big concern here, the as you said, the elephants, 626 00:39:08,320 --> 00:39:11,719 Speaker 1: is that this seems in every single case like a 627 00:39:12,000 --> 00:39:17,160 Speaker 1: very very very very complicated plan. 628 00:39:17,880 --> 00:39:25,080 Speaker 2: Yes, and the the motivations for the machinations aren't there 629 00:39:25,120 --> 00:39:28,759 Speaker 2: for me. And how much work you'd have to put 630 00:39:28,800 --> 00:39:31,960 Speaker 2: in to get the Simpsons to predict something so that 631 00:39:32,000 --> 00:39:35,799 Speaker 2: you would be as the public, that we would be 632 00:39:35,880 --> 00:39:39,319 Speaker 2: okay with something in the future baffles my mind. That 633 00:39:39,520 --> 00:39:44,680 Speaker 2: some screenwriter who wrote the pilot for this TV show, 634 00:39:44,800 --> 00:39:47,520 Speaker 2: the spinoff of The X Files, knew that there was 635 00:39:47,560 --> 00:39:50,920 Speaker 2: this plan that was going to be enacted several years 636 00:39:51,040 --> 00:39:53,680 Speaker 2: or a year from then, two years whatever? 637 00:39:55,560 --> 00:39:55,840 Speaker 1: Why? 638 00:39:57,080 --> 00:39:59,680 Speaker 2: Why? How much planning would have to go into that. 639 00:40:01,200 --> 00:40:03,680 Speaker 1: Right? How much plan would have to go into it 640 00:40:03,800 --> 00:40:07,440 Speaker 1: publicly much less how much plan would have to go 641 00:40:07,480 --> 00:40:12,040 Speaker 1: into it for it to occur in secret? Yeah? Somehow? Yeah, 642 00:40:12,400 --> 00:40:14,360 Speaker 1: I mean that's easily hundreds of people. 643 00:40:14,440 --> 00:40:17,520 Speaker 2: Because you're talking about getting people to approve a script. 644 00:40:18,320 --> 00:40:22,040 Speaker 2: I mean, just just that alone, that process is not 645 00:40:22,160 --> 00:40:26,240 Speaker 2: an easy one. And uh, I don't know, man. 646 00:40:26,280 --> 00:40:30,200 Speaker 1: Well it it takes almost double think on the part 647 00:40:30,280 --> 00:40:33,680 Speaker 1: of us to believe in this, because if we walk 648 00:40:33,760 --> 00:40:36,640 Speaker 1: through it, it requires us to believe that not only 649 00:40:36,719 --> 00:40:39,319 Speaker 1: is a work of fiction being made with knowledge of 650 00:40:39,400 --> 00:40:43,360 Speaker 1: future events, certain knowledge that they have certitude about this, 651 00:40:43,640 --> 00:40:45,959 Speaker 1: but also that the creators of the work are either 652 00:40:46,000 --> 00:40:50,799 Speaker 1: in cooperation with some shadowy cabal or they're members of 653 00:40:50,840 --> 00:40:55,399 Speaker 1: some shadowy cabal that has vast, near omniscient control over 654 00:40:55,480 --> 00:40:58,799 Speaker 1: events in the real world. But as still saying, you 655 00:40:58,840 --> 00:41:00,720 Speaker 1: know what, guys, we shall make movies. 656 00:41:01,200 --> 00:41:03,799 Speaker 2: Yeah, and all of these people are also okay with 657 00:41:03,880 --> 00:41:06,040 Speaker 2: these terrible tragedies that occur. 658 00:41:06,480 --> 00:41:08,680 Speaker 1: Right. This would mean that, if it were true someone 659 00:41:08,840 --> 00:41:11,720 Speaker 1: new catastrophes like nine to eleven were going to happen. 660 00:41:12,000 --> 00:41:15,399 Speaker 1: And additionally, rather than preventing the disaster, they had enough 661 00:41:15,440 --> 00:41:17,920 Speaker 1: time to make a high production level story about something 662 00:41:17,960 --> 00:41:21,680 Speaker 1: completely different, ultimately for the sole purpose of including a 663 00:41:21,760 --> 00:41:25,160 Speaker 1: passing reference to a real life event in the story 664 00:41:25,320 --> 00:41:27,320 Speaker 1: that seems like a massive amount of work for a 665 00:41:27,360 --> 00:41:28,520 Speaker 1: relatively small return. 666 00:41:29,080 --> 00:41:35,520 Speaker 2: Yeah. I I don't get it, man, I don't. I 667 00:41:35,560 --> 00:41:38,440 Speaker 2: think in order to believe this fully you have to 668 00:41:38,560 --> 00:41:42,120 Speaker 2: really have gone down the rabbit hole of believing that 669 00:41:42,360 --> 00:41:46,960 Speaker 2: every person that's an elite of any sort is working 670 00:41:46,960 --> 00:41:50,200 Speaker 2: together for some bigger mass conspiracy. 671 00:41:50,520 --> 00:41:53,440 Speaker 1: And you know, we have found, over the course of 672 00:41:53,480 --> 00:41:56,239 Speaker 1: our time digging into all sorts of strange stuff on 673 00:41:56,239 --> 00:41:59,879 Speaker 1: this show, we have found that it's a lot less 674 00:41:59,880 --> 00:42:03,000 Speaker 1: likely that one group actually rules the world. It's a 675 00:42:03,040 --> 00:42:06,120 Speaker 1: lot more likely that there are several groups who are 676 00:42:06,160 --> 00:42:08,920 Speaker 1: all vastly entitled and above the law who feel like 677 00:42:08,960 --> 00:42:11,319 Speaker 1: they should run the world. Yeah, and they don't get 678 00:42:11,360 --> 00:42:12,000 Speaker 1: along well. 679 00:42:12,000 --> 00:42:14,840 Speaker 2: And I wonder if you do subscribe to this theory, 680 00:42:14,920 --> 00:42:19,200 Speaker 2: you maybe, even as a conspiracy realist as we all 681 00:42:19,200 --> 00:42:23,000 Speaker 2: are in this, who can hear this voice right now? 682 00:42:25,080 --> 00:42:28,279 Speaker 2: Maybe you imagine that these are groups working, you know, 683 00:42:28,360 --> 00:42:32,280 Speaker 2: against each other with their predictive programming efforts. Ah. 684 00:42:32,320 --> 00:42:35,640 Speaker 1: I like that spin there. I like that angle because 685 00:42:37,680 --> 00:42:43,200 Speaker 1: it would also help at least to float the inevitable 686 00:42:43,280 --> 00:42:47,600 Speaker 1: problem of different predictions occurring. Right. That's really smart. There's 687 00:42:47,640 --> 00:42:51,520 Speaker 1: also there's another wrinkle in here, which is kind of 688 00:42:51,520 --> 00:42:56,279 Speaker 1: a con Propaganda works best when it's simplified. I mean, 689 00:42:56,320 --> 00:43:01,959 Speaker 1: there's no denying that fiction is incredible powerful, and even 690 00:43:02,000 --> 00:43:05,640 Speaker 1: today books and films are banned by governments around the world. 691 00:43:06,719 --> 00:43:11,680 Speaker 1: And also propaganda is produced by governments around the world 692 00:43:11,880 --> 00:43:15,879 Speaker 1: or by think tanks or agencies. People with some sort 693 00:43:15,920 --> 00:43:19,560 Speaker 1: of agenda, whether they're a fervent nationalists, whether they are 694 00:43:19,840 --> 00:43:24,759 Speaker 1: racial supremacists of some sort, they're out there and they 695 00:43:24,880 --> 00:43:28,759 Speaker 1: want to have a story where their agenda or their 696 00:43:28,840 --> 00:43:32,359 Speaker 1: goal is presented as the right thing, the best thing. 697 00:43:32,600 --> 00:43:38,120 Speaker 1: And I know I'm mentioning. I know I'm mentioning groups 698 00:43:38,160 --> 00:43:44,000 Speaker 1: like nationalists and supremacists, but that's barely the surface. It's 699 00:43:44,080 --> 00:43:48,960 Speaker 1: like everybody. Yeah, so people who you know, it's cause agnostic. 700 00:43:49,239 --> 00:43:53,040 Speaker 1: It's a technique that does not fall under the purview 701 00:43:53,160 --> 00:43:56,279 Speaker 1: of any one particular group of people that you might 702 00:43:56,280 --> 00:43:58,840 Speaker 1: think of as evil or they might think of as good. 703 00:43:59,160 --> 00:44:02,080 Speaker 1: The people who want to save coral reefs are absolutely 704 00:44:02,120 --> 00:44:06,279 Speaker 1: capable of doing the same kind of things that you 705 00:44:06,320 --> 00:44:08,600 Speaker 1: would see from another propaganda entity. 706 00:44:09,360 --> 00:44:09,880 Speaker 2: Yeah. 707 00:44:10,000 --> 00:44:12,520 Speaker 1: I happen to believe that they have truth on their side. 708 00:44:13,160 --> 00:44:13,920 Speaker 1: That that's just me. 709 00:44:14,960 --> 00:44:16,320 Speaker 2: You believe in the coral reefs. 710 00:44:16,520 --> 00:44:18,920 Speaker 1: Yeah, I think they're real. I think it churns out. 711 00:44:18,960 --> 00:44:21,279 Speaker 2: Well, some of them are not real. I was just 712 00:44:21,400 --> 00:44:24,000 Speaker 2: learning about some of I think it's the Georgia Coast. 713 00:44:24,120 --> 00:44:27,720 Speaker 2: NPR was talking about this where there are fake coral reefs, 714 00:44:27,800 --> 00:44:31,080 Speaker 2: artificial reefs. Yeah, really fascinating stuff made out of rubble. 715 00:44:31,320 --> 00:44:36,080 Speaker 2: But they're still real, Like they're not coral. Though they're reefs, 716 00:44:36,160 --> 00:44:37,359 Speaker 2: they're not coral. That's all. 717 00:44:37,560 --> 00:44:41,520 Speaker 1: That's very good point. Matt. You thank you for bringing that, 718 00:44:42,280 --> 00:44:45,520 Speaker 1: bringing that to light. Finally, it's what Big Coral doesn't 719 00:44:45,520 --> 00:44:46,120 Speaker 1: want you to know. 720 00:44:46,400 --> 00:44:50,120 Speaker 2: Seriously, Oh man, rebar and concrete, it will do just 721 00:44:50,320 --> 00:44:51,400 Speaker 2: wonders for fish. 722 00:44:51,600 --> 00:44:56,600 Speaker 1: It needed to be said, Thank you, no problem, dude. 723 00:44:57,360 --> 00:45:02,360 Speaker 2: Just while we're still in oceanic been. My father called 724 00:45:02,400 --> 00:45:06,680 Speaker 2: me panicked the other day about the Great Pacific garbage Patch, 725 00:45:07,239 --> 00:45:10,040 Speaker 2: and I think he honestly hadn't ever heard of it before. 726 00:45:10,560 --> 00:45:13,960 Speaker 2: And you know, this is something that maybe you listening 727 00:45:14,000 --> 00:45:17,000 Speaker 2: to this have heard about it before. It is a 728 00:45:17,080 --> 00:45:23,040 Speaker 2: massively troubling thing that is happening, a huge amount of 729 00:45:23,120 --> 00:45:26,719 Speaker 2: plastic and other garbage that's just there. I feel like 730 00:45:26,760 --> 00:45:29,160 Speaker 2: we need to do some kind of episode on it 731 00:45:29,760 --> 00:45:33,080 Speaker 2: because my dad was genuinely terrified and felt like the 732 00:45:33,120 --> 00:45:35,279 Speaker 2: world was ending because of this. 733 00:45:35,760 --> 00:45:37,520 Speaker 1: Well, it's certainly not a good thing. 734 00:45:37,719 --> 00:45:42,520 Speaker 2: Well yeah, absolutely, but I think imagining it and seeing 735 00:45:42,560 --> 00:45:45,000 Speaker 2: some of the imagery that the news was putting out 736 00:45:45,040 --> 00:45:48,520 Speaker 2: about it was fear inducing, and I think it's worth 737 00:45:48,600 --> 00:45:52,720 Speaker 2: us discussing maybe in the future about what could happen. 738 00:45:53,160 --> 00:45:59,040 Speaker 1: Sure, yeah, we can also talk about whether recycling actually helps. 739 00:45:59,320 --> 00:46:03,000 Speaker 1: That's great because a lot of people in the West 740 00:46:03,040 --> 00:46:07,520 Speaker 1: at least are I don't know, are doing a ritual 741 00:46:07,880 --> 00:46:13,640 Speaker 1: where you put some trash in a blue box and 742 00:46:13,800 --> 00:46:16,719 Speaker 1: you tell yourself that you're making a difference, And you know, 743 00:46:17,040 --> 00:46:19,960 Speaker 1: I think that's a sincere thing. We recycle here at 744 00:46:20,000 --> 00:46:22,720 Speaker 1: the office, but in a lot of places when people 745 00:46:22,760 --> 00:46:25,759 Speaker 1: come around to collect the garbage, the things from those 746 00:46:25,800 --> 00:46:29,440 Speaker 1: two boxes go in the same dumpster. Yep. So I 747 00:46:29,480 --> 00:46:33,840 Speaker 1: don't know. Sometimes I don't want to make a huge 748 00:46:34,120 --> 00:46:37,480 Speaker 1: sweeping statement about it, but it's true that does happen. 749 00:46:38,280 --> 00:46:40,839 Speaker 1: So yeah, let us know what we should examine when 750 00:46:40,880 --> 00:46:43,279 Speaker 1: it comes to recycling, when it comes to the Great 751 00:46:43,320 --> 00:46:46,680 Speaker 1: garbage Patch. We did do an episode on ocean acidification 752 00:46:46,760 --> 00:46:49,759 Speaker 1: and we did Yeah, and you know that's scary. 753 00:46:49,960 --> 00:46:53,320 Speaker 2: That's really scary. And why aren't we using the whole 754 00:46:53,520 --> 00:46:57,120 Speaker 2: the plasma methods of breaking down trash, turning it into 755 00:46:57,200 --> 00:46:59,719 Speaker 2: slag and usable gases. 756 00:47:00,120 --> 00:47:02,279 Speaker 1: Yeah, you told me about that years ago. They had 757 00:47:02,320 --> 00:47:04,440 Speaker 1: the technology in Japan, right, dude. 758 00:47:04,760 --> 00:47:07,799 Speaker 2: They've been doing this for decades in Japan and a 759 00:47:07,840 --> 00:47:12,000 Speaker 2: couple other places, just turning their trash into energy and 760 00:47:12,320 --> 00:47:17,320 Speaker 2: usable building materials. Why aren't we doing this? Guys? Wow, 761 00:47:17,360 --> 00:47:19,880 Speaker 2: that's a massive tangent. Okay, let's get back to this 762 00:47:19,960 --> 00:47:20,480 Speaker 2: really fast. 763 00:47:20,520 --> 00:47:24,240 Speaker 1: Oh are we predictively programming the audience? Oh? 764 00:47:24,680 --> 00:47:25,840 Speaker 2: Is that what this is? 765 00:47:25,840 --> 00:47:27,400 Speaker 1: Is that what this whole thing was? 766 00:47:28,600 --> 00:47:32,879 Speaker 2: Oh my god, Paul, were you in on this? Oh 767 00:47:32,920 --> 00:47:35,799 Speaker 2: my god, Matt. 768 00:47:34,920 --> 00:47:37,359 Speaker 1: I figured the best way for you to learn this 769 00:47:37,560 --> 00:47:41,360 Speaker 1: would be on the air with no prep. 770 00:47:41,520 --> 00:47:44,200 Speaker 2: You made me a part of this. 771 00:47:44,440 --> 00:47:49,000 Speaker 1: Oh my god, it's too late now. Pretty soon we're 772 00:47:49,040 --> 00:47:54,360 Speaker 1: gonna have George Soros, Warren Buffet, Bill Gates, and I 773 00:47:54,360 --> 00:47:56,839 Speaker 1: don't know who else, Oprah, Alice Cooper. They're all gonna 774 00:47:56,880 --> 00:47:58,920 Speaker 1: walk in and do a slow clap. 775 00:47:58,719 --> 00:47:59,360 Speaker 2: The Bezos. 776 00:48:00,840 --> 00:48:06,120 Speaker 1: Maybe maybe he's a fearsome beast though, Oh no, no, 777 00:48:06,280 --> 00:48:10,239 Speaker 1: I don't. We don't have any celebrity illuminati that that 778 00:48:10,280 --> 00:48:14,440 Speaker 1: are coming by. Although today as we recorded this, Davey 779 00:48:14,600 --> 00:48:17,880 Speaker 1: Diggs did drop by to appear on a show our 780 00:48:17,960 --> 00:48:21,040 Speaker 1: pal Chuck does called Movie Crush, So do check that out. 781 00:48:21,200 --> 00:48:21,840 Speaker 2: It was awesome. 782 00:48:21,920 --> 00:48:25,480 Speaker 1: Did you like that organic segue and perfect? 783 00:48:26,680 --> 00:48:26,839 Speaker 2: Ah? 784 00:48:27,040 --> 00:48:30,520 Speaker 1: Thanks? You know they sometimes call me the Matt Frederick 785 00:48:30,920 --> 00:48:36,319 Speaker 1: of a Smooth Plugs. It's it's a tremendous compliment one 786 00:48:36,360 --> 00:48:37,040 Speaker 1: I don't deserve. 787 00:48:37,560 --> 00:48:39,840 Speaker 2: But you know, if you're if you're thinking to yourself, 788 00:48:39,920 --> 00:48:42,040 Speaker 2: what did I miss and you want to, you know, 789 00:48:42,160 --> 00:48:45,160 Speaker 2: send us something. If you have any questions or comments 790 00:48:45,160 --> 00:48:47,680 Speaker 2: about anything we've talked about today. Have you noticed a 791 00:48:48,239 --> 00:48:50,640 Speaker 2: different version of predictive programming? Or do you have a 792 00:48:50,680 --> 00:48:54,200 Speaker 2: really good example, or you know what, do you think 793 00:48:54,239 --> 00:48:57,239 Speaker 2: it's hogwash? You should write to us. You can find 794 00:48:57,320 --> 00:49:00,160 Speaker 2: us on social media where we are conspiracy stuff on 795 00:49:00,200 --> 00:49:03,960 Speaker 2: most of them, sometimes conspiracy stuff show. You'll find us. 796 00:49:04,000 --> 00:49:05,920 Speaker 2: You can do it. You can go to Stuff they 797 00:49:05,920 --> 00:49:07,759 Speaker 2: Don't Want you to Know dot com. You can check 798 00:49:07,800 --> 00:49:10,879 Speaker 2: out every podcast we've ever recorded, some videos, all kinds 799 00:49:10,880 --> 00:49:14,040 Speaker 2: of good stuff there you can and that's the end 800 00:49:14,120 --> 00:49:17,480 Speaker 2: of this classic episode. If you have any thoughts or 801 00:49:17,640 --> 00:49:21,400 Speaker 2: questions about this episode, you can get into contact with 802 00:49:21,520 --> 00:49:23,600 Speaker 2: us in a number of different ways. One of the 803 00:49:23,600 --> 00:49:25,440 Speaker 2: best is to give us a call. Our number is 804 00:49:25,520 --> 00:49:30,120 Speaker 2: one eight three three STDWYTK. If you don't want to 805 00:49:30,120 --> 00:49:32,720 Speaker 2: do that, you can send us a good old fashioned email. 806 00:49:32,960 --> 00:49:37,080 Speaker 1: We are conspiracy at iHeartRadio dot com. 807 00:49:37,280 --> 00:49:39,360 Speaker 2: Stuff they Don't Want You to Know is a production 808 00:49:39,480 --> 00:49:44,000 Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app, 809 00:49:44,080 --> 00:49:46,960 Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows,