1 00:00:00,280 --> 00:00:04,720 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,840 --> 00:00:09,119 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,240 --> 00:00:12,200 Speaker 1: learn this stuff they don't want you to know. A 4 00:00:12,280 --> 00:00:13,880 Speaker 1: production of IHEARTRADI. 5 00:00:24,160 --> 00:00:26,480 Speaker 2: Hello, welcome back to the show. My name is Matt, 6 00:00:26,680 --> 00:00:27,479 Speaker 2: my name is Noel. 7 00:00:27,640 --> 00:00:30,320 Speaker 3: They call me Ben. We're joined as always with our 8 00:00:30,400 --> 00:00:34,440 Speaker 3: super producer Alexis codename dot Holliday Jackson. Most importantly, you 9 00:00:35,640 --> 00:00:39,000 Speaker 3: are here, and that makes this the stuff they don't 10 00:00:39,040 --> 00:00:42,080 Speaker 3: want you to know. It's an exciting time of the 11 00:00:42,120 --> 00:00:45,720 Speaker 3: week for us here at the show because this is 12 00:00:45,840 --> 00:00:50,839 Speaker 3: where we have a cavalcade of our favorite people and entities. You, 13 00:00:51,120 --> 00:00:54,240 Speaker 3: our fellow conspiracy realist, you have written to us, so 14 00:00:54,280 --> 00:00:58,560 Speaker 3: you have communicated with us through ways telephonic and arcane, 15 00:00:58,960 --> 00:01:03,200 Speaker 3: and we are here to share your stories with the class. 16 00:01:03,320 --> 00:01:07,080 Speaker 2: I could say, why not, isn't telephonic communication arcane? 17 00:01:07,160 --> 00:01:07,319 Speaker 4: Now? 18 00:01:07,640 --> 00:01:10,839 Speaker 3: You know, I was thinking about that telex communication would 19 00:01:10,840 --> 00:01:16,200 Speaker 3: be arcane, right. I recently saw a payphone out in 20 00:01:16,280 --> 00:01:18,319 Speaker 3: the wild. We don't have to get into the details, 21 00:01:18,400 --> 00:01:22,120 Speaker 3: and I almost called our number one eight three three 22 00:01:22,240 --> 00:01:27,040 Speaker 3: std WYTK to leave a little little Easter egg voicemail. 23 00:01:27,640 --> 00:01:31,400 Speaker 3: But that is not that's not going to come up today. 24 00:01:31,520 --> 00:01:35,040 Speaker 3: I think what we will learn about are the ways 25 00:01:35,120 --> 00:01:41,080 Speaker 3: in which big, powerful companies are hoovering up your personal information. 26 00:01:41,319 --> 00:01:44,640 Speaker 3: It is much more insidious than even we thought until 27 00:01:44,640 --> 00:01:48,000 Speaker 3: the recent news came out. We are going to learn 28 00:01:48,080 --> 00:01:52,720 Speaker 3: about leo blastoma. And before we do any of that, 29 00:01:53,760 --> 00:01:57,240 Speaker 3: we're going to return to something we tease last week, 30 00:01:58,160 --> 00:02:03,000 Speaker 3: the idea of imagination. What is the line between imagination 31 00:02:03,240 --> 00:02:08,480 Speaker 3: and hallucination? What is the line between human intelligence and 32 00:02:09,240 --> 00:02:10,760 Speaker 3: created intelligence? 33 00:02:11,080 --> 00:02:13,320 Speaker 4: I really like that set up, Ben, and I never 34 00:02:13,360 --> 00:02:17,240 Speaker 4: really quite thought about it that way. But imagination is 35 00:02:18,240 --> 00:02:23,160 Speaker 4: somehow a combination of like intelligence and hallucination. Right, Like, 36 00:02:23,240 --> 00:02:26,519 Speaker 4: you are sort of conjuring things, and I mean you're 37 00:02:26,600 --> 00:02:29,920 Speaker 4: using your intellect to do that. You're basing it around 38 00:02:29,960 --> 00:02:33,120 Speaker 4: things that you know from the real world, deductions that 39 00:02:33,160 --> 00:02:35,919 Speaker 4: you've made, you know, connections that you've made, and things 40 00:02:35,919 --> 00:02:40,200 Speaker 4: that have quote unquote meaning. But then the gaps kind 41 00:02:40,200 --> 00:02:43,600 Speaker 4: of get filled in by your brain. And one could 42 00:02:43,760 --> 00:02:45,720 Speaker 4: argue that it's sort of doing some of that work 43 00:02:45,760 --> 00:02:49,720 Speaker 4: for you. It's creating things you know that weren't previously there, 44 00:02:49,720 --> 00:02:53,200 Speaker 4: which is kind of what hallucinations are typically hallucinations get 45 00:02:53,400 --> 00:02:59,640 Speaker 4: referred to in terms of things that are completely unwanted. Well, 46 00:02:59,680 --> 00:03:02,680 Speaker 4: I mean tell us here taking certain substances to hallucinate 47 00:03:02,720 --> 00:03:07,320 Speaker 4: on purpose. But like usually, it's debilitating. If people are hallucinating, 48 00:03:07,440 --> 00:03:11,200 Speaker 4: they can't tell the difference between reality and you know, 49 00:03:11,200 --> 00:03:15,280 Speaker 4: and the hallucination. That's bad news. But what of quote 50 00:03:15,360 --> 00:03:20,600 Speaker 4: unquote artificial intelligence? Do androids really dream of electric sheep? 51 00:03:21,919 --> 00:03:25,840 Speaker 4: It's a good question, and it's one that Scott poses 52 00:03:25,880 --> 00:03:28,760 Speaker 4: beautifully in an email to us. It's a little bit long, 53 00:03:28,760 --> 00:03:31,880 Speaker 4: but I'm gonna read most of it. Hi, All, the 54 00:03:31,960 --> 00:03:35,360 Speaker 4: recent nature of Reality episode by Josh and Chuck Buddies 55 00:03:35,360 --> 00:03:37,840 Speaker 4: over Stuff you Should Know has prompted me to send 56 00:03:37,840 --> 00:03:40,720 Speaker 4: along some thoughts on the nature of reality and quote 57 00:03:40,880 --> 00:03:45,480 Speaker 4: artificial intelligence in quote surrounding recent tech developments. I've heard 58 00:03:45,520 --> 00:03:48,080 Speaker 4: references to what I will be detailing in multiple shows, 59 00:03:48,280 --> 00:03:50,640 Speaker 4: so I'm sending this to a few of you. Jonathan 60 00:03:50,640 --> 00:03:53,680 Speaker 4: Strickland doesn't listen to email and tech stuff. I think 61 00:03:53,680 --> 00:03:57,400 Speaker 4: it's Jonathan Strickland at iHeartRadio dot com. These are complaints 62 00:03:57,480 --> 00:04:02,040 Speaker 4: Department right Ben the official anyway, but feel free to 63 00:04:02,080 --> 00:04:05,280 Speaker 4: forward this on to him as well, or to anyone else, 64 00:04:05,400 --> 00:04:07,600 Speaker 4: or to share the email on air. Well, thank you, Scott, 65 00:04:07,640 --> 00:04:10,440 Speaker 4: we will do all of those things. Scott continues, and 66 00:04:10,560 --> 00:04:15,080 Speaker 4: I hear science communities and communicators talking lately about artificial 67 00:04:15,080 --> 00:04:18,920 Speaker 4: intelligence having hallucinations, such as the lawyer who had some 68 00:04:18,960 --> 00:04:22,719 Speaker 4: court cases invented by Chad GPT. I have yet to 69 00:04:22,800 --> 00:04:26,560 Speaker 4: hear any speaker on your network or anywhere else mentioned 70 00:04:26,800 --> 00:04:30,160 Speaker 4: that hallucinations are a natural part of the human experience. 71 00:04:30,720 --> 00:04:33,920 Speaker 4: I do though here quite often the existence of artificial 72 00:04:33,920 --> 00:04:41,120 Speaker 4: intelligence consciousness disqualified as a possibility, specifically because of the 73 00:04:41,160 --> 00:04:44,799 Speaker 4: hallucinations AI is having. One of the more natural things 74 00:04:44,800 --> 00:04:48,560 Speaker 4: for a human mind to do is to hallucinate facts, occurrences, 75 00:04:48,800 --> 00:04:52,080 Speaker 4: and even objects during times of stress are when presented 76 00:04:52,120 --> 00:04:54,799 Speaker 4: with the unknown. Sometimes this stress is brought on simply 77 00:04:54,839 --> 00:04:57,960 Speaker 4: from confronting one's own lack of ability to explain something 78 00:04:57,960 --> 00:05:00,680 Speaker 4: that happened. I think back to experiment where a human 79 00:05:00,720 --> 00:05:04,279 Speaker 4: explains away something that one hemisphere of the mind can't 80 00:05:04,279 --> 00:05:07,560 Speaker 4: have had access to due to an operation which separated 81 00:05:07,600 --> 00:05:09,919 Speaker 4: the hemispheres of the brain. When the subject of the 82 00:05:09,920 --> 00:05:13,160 Speaker 4: experiment is asked about why they did something and they 83 00:05:13,160 --> 00:05:17,600 Speaker 4: can't explain it to the experimenter asking they confabulate or 84 00:05:17,640 --> 00:05:21,000 Speaker 4: invent from whole cloth something to explain the reality of 85 00:05:21,040 --> 00:05:24,760 Speaker 4: what just occurred. They invent Dare I say, predict what 86 00:05:24,880 --> 00:05:28,040 Speaker 4: words will make the most sense and sequence together and 87 00:05:28,120 --> 00:05:30,599 Speaker 4: say this to the human experimenter sounds kind of like 88 00:05:30,640 --> 00:05:32,080 Speaker 4: a chatbot I've been hearing about. 89 00:05:32,160 --> 00:05:32,640 Speaker 5: Yeah. 90 00:05:32,960 --> 00:05:36,000 Speaker 4: My point is we are judging other things in our 91 00:05:36,040 --> 00:05:39,719 Speaker 4: reality that exhibit traits considered to be quite common features 92 00:05:39,760 --> 00:05:43,159 Speaker 4: of our own human consciousness, and disqualifying the other things, 93 00:05:43,440 --> 00:05:47,520 Speaker 4: animal or artificial intelligence from possibly having consciousness. I feel 94 00:05:47,560 --> 00:05:49,560 Speaker 4: like I'm missing some major part of the argument where 95 00:05:49,600 --> 00:05:53,800 Speaker 4: everyone is not thinking about what human consciousness is, or 96 00:05:53,839 --> 00:05:56,400 Speaker 4: that we don't know what it is when they make 97 00:05:56,520 --> 00:05:59,920 Speaker 4: what I see as presumptuous comparisons about whether or not 98 00:06:00,080 --> 00:06:03,479 Speaker 4: the thing is conscious. Humans build artificial learning networks that 99 00:06:03,680 --> 00:06:06,240 Speaker 4: learn exactly the same way as a human child does. 100 00:06:06,640 --> 00:06:09,240 Speaker 4: Give them information to process through their black box, and 101 00:06:09,279 --> 00:06:12,719 Speaker 4: they learn. Humans built something that displays the same signs 102 00:06:12,720 --> 00:06:16,400 Speaker 4: of consciousness that humans do. Humans are now hallucinating about 103 00:06:16,400 --> 00:06:18,520 Speaker 4: the hallucinations of their own AI. 104 00:06:18,880 --> 00:06:21,680 Speaker 2: I feel, okay, I think this is enough for us. 105 00:06:21,560 --> 00:06:23,240 Speaker 4: To chew on here, guys. He goes on and has 106 00:06:23,279 --> 00:06:26,200 Speaker 4: some really really excellent points, but a lot of nodding 107 00:06:26,320 --> 00:06:29,920 Speaker 4: going on in the group reading this. Scott, I wish 108 00:06:29,920 --> 00:06:31,720 Speaker 4: I could go into all you really do make some 109 00:06:32,080 --> 00:06:34,280 Speaker 4: more great points, but I think for our purposes here 110 00:06:34,320 --> 00:06:36,520 Speaker 4: on listener mail, this is a great place to start, 111 00:06:36,680 --> 00:06:38,400 Speaker 4: and I think it follows from kind of what I 112 00:06:38,440 --> 00:06:41,039 Speaker 4: said at the start, Like the idea is what is 113 00:06:41,080 --> 00:06:45,200 Speaker 4: creativity versus what is a hallucination? You know, the idea 114 00:06:45,200 --> 00:06:50,839 Speaker 4: of eyewitness accounts being notoriously bad because people are filling 115 00:06:50,880 --> 00:06:53,320 Speaker 4: in these gaps with their with their minds. And is 116 00:06:53,360 --> 00:06:56,840 Speaker 4: that creativity or is that a hallucination? And is what 117 00:06:57,120 --> 00:07:01,480 Speaker 4: chatbot does, what chat gpt does, same as an infant 118 00:07:01,600 --> 00:07:06,200 Speaker 4: child learning something slowly and then now obviously exponentially as 119 00:07:06,240 --> 00:07:10,760 Speaker 4: it speeds up, you know, because it is more scalable then, 120 00:07:11,040 --> 00:07:14,480 Speaker 4: I guess, or more exponentially kind of snowballs, I guess, 121 00:07:14,640 --> 00:07:17,360 Speaker 4: quicker than what a human mind would do in terms 122 00:07:17,360 --> 00:07:19,680 Speaker 4: of the growth. So what do you guys think? Man, 123 00:07:19,760 --> 00:07:21,040 Speaker 4: So I don't even know where to start. 124 00:07:21,400 --> 00:07:24,640 Speaker 3: Yeah, the reason the reason I wanted to put out 125 00:07:24,640 --> 00:07:31,960 Speaker 3: the idea of hallucination and imagination being so so closely 126 00:07:32,000 --> 00:07:35,480 Speaker 3: related to the point where it's difficult maybe to discern. 127 00:07:35,920 --> 00:07:39,800 Speaker 3: As we know, the operative definition tells us the big 128 00:07:39,840 --> 00:07:43,960 Speaker 3: difference is that when you are imagining something, you know 129 00:07:44,280 --> 00:07:47,120 Speaker 3: to some degree that it does not exist yet in 130 00:07:47,160 --> 00:07:50,000 Speaker 3: the real world, right, And that's why that's why I think, 131 00:07:50,120 --> 00:07:52,120 Speaker 3: oh God. When I was in my edge lord days, 132 00:07:52,880 --> 00:07:55,400 Speaker 3: the way I like to think about it was, if 133 00:07:55,400 --> 00:07:58,360 Speaker 3: you want to be successful, if you want to change 134 00:07:58,400 --> 00:08:01,400 Speaker 3: the world around you or change your circumstances, you have 135 00:08:01,480 --> 00:08:06,400 Speaker 3: to imagine or hallucinate a world in which that end 136 00:08:06,480 --> 00:08:10,240 Speaker 3: state exists. Therefore, you can make an argument that some 137 00:08:10,360 --> 00:08:14,440 Speaker 3: degree of insanity or creativity, which are both just dots 138 00:08:14,440 --> 00:08:19,680 Speaker 3: on the same spectrum, is necessary to progress in life. 139 00:08:19,720 --> 00:08:22,240 Speaker 3: But I want to go to I'm not an expert 140 00:08:22,240 --> 00:08:25,240 Speaker 3: on this, Noel. I want to go to an actual expert. 141 00:08:25,800 --> 00:08:29,920 Speaker 3: Good pal, Damian Williams. Congratulations again. Damien is officially an 142 00:08:29,960 --> 00:08:35,680 Speaker 3: assistant professor over in North Carolina. Also Wolven on any 143 00:08:35,760 --> 00:08:41,240 Speaker 3: number of social media platforms, and he points out aichatbots are. 144 00:08:42,080 --> 00:08:45,280 Speaker 3: They may appear to be thinking, but they're what they're 145 00:08:45,280 --> 00:08:47,480 Speaker 3: doing is not the same as what we think of 146 00:08:48,080 --> 00:08:51,320 Speaker 3: when we think of humans thinking. When we exercise metacognition 147 00:08:51,400 --> 00:08:54,320 Speaker 3: thinking about thinking. He had a quote on Live Science 148 00:08:54,480 --> 00:08:58,320 Speaker 3: very in April of this year where he said, look, 149 00:08:58,360 --> 00:09:01,200 Speaker 3: you know the way these things are built, these llm's 150 00:09:01,280 --> 00:09:03,960 Speaker 3: large language models. They don't try to give you the 151 00:09:04,080 --> 00:09:06,680 Speaker 3: right answer. They don't know what a right or wrong 152 00:09:06,720 --> 00:09:09,120 Speaker 3: answer is. They're trying to give you an answer that 153 00:09:09,200 --> 00:09:13,440 Speaker 3: you like. And I think that it's interesting because with 154 00:09:13,920 --> 00:09:19,640 Speaker 3: Scott's comparison or your comparison about the idea of childlike thinking, 155 00:09:19,960 --> 00:09:22,520 Speaker 3: a lot of times children are trying to think of 156 00:09:23,320 --> 00:09:26,400 Speaker 3: right or wrong only defined by what their power structure 157 00:09:26,520 --> 00:09:29,560 Speaker 3: their parents. Like, I don't know, it's fascinating. I still 158 00:09:29,559 --> 00:09:32,480 Speaker 3: have a huge problem with the term AI. We use 159 00:09:32,520 --> 00:09:35,520 Speaker 3: it for convenience sake, but what makes them artificial? You 160 00:09:35,520 --> 00:09:36,040 Speaker 3: know what I mean? 161 00:09:36,520 --> 00:09:38,640 Speaker 4: Well, that's I think that's the whole kind of crux 162 00:09:38,720 --> 00:09:41,520 Speaker 4: of the email is like the nature of consciousness. And 163 00:09:41,880 --> 00:09:47,559 Speaker 4: there was a lawsuit recently. I believe an individual sued 164 00:09:47,840 --> 00:09:53,920 Speaker 4: the company behind chat GPT because the chatbot essentially invented 165 00:09:54,200 --> 00:09:57,920 Speaker 4: some things about this person's resume that were not true, 166 00:10:00,040 --> 00:10:03,080 Speaker 4: and that is being referred to as a hallucination. Like 167 00:10:03,120 --> 00:10:05,560 Speaker 4: that is kind of like what where this term is 168 00:10:05,600 --> 00:10:09,280 Speaker 4: coming from and the zeitgeist, the idea that that it 169 00:10:09,440 --> 00:10:13,839 Speaker 4: can go wrong. It can, it's not infallible. And I 170 00:10:13,880 --> 00:10:15,720 Speaker 4: guess what I was kind of stumbling at too when 171 00:10:15,760 --> 00:10:19,079 Speaker 4: we're talking about the childlike thinking, you know, a child's 172 00:10:19,120 --> 00:10:22,840 Speaker 4: brain obviously outside of like certain super mega you know, 173 00:10:22,880 --> 00:10:26,400 Speaker 4: special cases, is what it is as it grows, and 174 00:10:26,440 --> 00:10:28,560 Speaker 4: it has sort of like a trajectory of like how 175 00:10:28,640 --> 00:10:32,000 Speaker 4: quickly it can pick up information that all depends on experience, 176 00:10:32,040 --> 00:10:34,280 Speaker 4: and then as it grows older it can learn new 177 00:10:34,320 --> 00:10:38,240 Speaker 4: things and make new connections. Like a chatbot doesn't grow, 178 00:10:38,440 --> 00:10:42,320 Speaker 4: it doesn't grow old. It's just siphoning up information and 179 00:10:42,360 --> 00:10:44,880 Speaker 4: then learning from it. And I guess when I was 180 00:10:44,960 --> 00:10:48,080 Speaker 4: using the term scalable, which always sounds so douchey in corporate, 181 00:10:48,280 --> 00:10:51,200 Speaker 4: I guess I just mean it kind of can learn 182 00:10:51,600 --> 00:10:55,199 Speaker 4: in a sense what a human could in a lifetime 183 00:10:55,400 --> 00:10:58,920 Speaker 4: in like maybe a couple of days or something like that. 184 00:10:58,960 --> 00:11:01,120 Speaker 3: You know, I don't know, but it has a hard 185 00:11:01,160 --> 00:11:06,000 Speaker 3: time synthesizing and creating new, truly new thing things, right 186 00:11:06,080 --> 00:11:10,240 Speaker 3: Like Damien said, oh this this stuck with me. Had 187 00:11:10,240 --> 00:11:13,880 Speaker 3: this example a I think was chat GPT, Oh no, 188 00:11:13,920 --> 00:11:17,640 Speaker 3: it was Amazon. Amazon had an AI resume d resume 189 00:11:17,760 --> 00:11:21,000 Speaker 3: sorting tool, so it would automate sorting resumes right to 190 00:11:21,000 --> 00:11:23,719 Speaker 3: give you the most qualified candidates for the job. And 191 00:11:23,760 --> 00:11:28,760 Speaker 3: this AI consistently ranked resumes with female sounding names as 192 00:11:28,840 --> 00:11:33,360 Speaker 3: less qualified than those with male sounding names because of 193 00:11:33,440 --> 00:11:37,240 Speaker 3: the way it was taught the resume sorting of human beings. 194 00:11:37,520 --> 00:11:40,800 Speaker 3: So it's carrying on those biases. A child or a 195 00:11:40,880 --> 00:11:46,080 Speaker 3: human entity can learn from those kind of mistakes and not, 196 00:11:46,520 --> 00:11:49,040 Speaker 3: you know, not repeat them. It knows not to touch 197 00:11:49,120 --> 00:11:53,360 Speaker 3: the fire more than once. But can AI do that? 198 00:11:53,480 --> 00:11:54,800 Speaker 3: The answer appears to be not yet. 199 00:11:55,040 --> 00:11:56,080 Speaker 4: Mat I see a glimmer. 200 00:11:56,360 --> 00:12:00,400 Speaker 2: You see a glimmer, just this concept that chat GPT 201 00:12:00,520 --> 00:12:04,320 Speaker 2: can't get old. But it's it is interesting if you 202 00:12:04,440 --> 00:12:08,480 Speaker 2: take it to the physical world, the hardware world, and 203 00:12:08,559 --> 00:12:13,400 Speaker 2: even the code, the internal code, and upon what is 204 00:12:13,440 --> 00:12:17,360 Speaker 2: that code written, like in what format is that code? 205 00:12:17,600 --> 00:12:17,840 Speaker 5: Right? 206 00:12:18,480 --> 00:12:22,400 Speaker 2: The processors, the physical processors do age and get older 207 00:12:22,440 --> 00:12:25,840 Speaker 2: and age out right, and they're no longer as viable 208 00:12:25,920 --> 00:12:27,360 Speaker 2: as the next generation. 209 00:12:27,679 --> 00:12:30,680 Speaker 4: When we see that in like movies like AI, literally 210 00:12:30,720 --> 00:12:34,000 Speaker 4: the movie AI, where the outdated robot literally gets kind 211 00:12:34,040 --> 00:12:38,079 Speaker 4: of left behind or sort of becomes no longer serviceable. 212 00:12:37,679 --> 00:12:40,480 Speaker 2: Well, yeah, and in the code, the language, the code 213 00:12:40,480 --> 00:12:43,680 Speaker 2: that is written in that language may be outdated right 214 00:12:43,760 --> 00:12:46,439 Speaker 2: at some point, so in a weird way, they do 215 00:12:46,480 --> 00:12:48,679 Speaker 2: get older. I know, it's not the same that we're 216 00:12:48,679 --> 00:12:50,360 Speaker 2: talking about. I just sorry, I had an image of 217 00:12:50,360 --> 00:12:51,079 Speaker 2: that in my mind. 218 00:12:51,240 --> 00:12:53,720 Speaker 4: Really cool, and I mean I'm not Joe. I know 219 00:12:53,880 --> 00:12:56,280 Speaker 4: a lot of people maybe AI is somewhat of a 220 00:12:56,320 --> 00:12:59,240 Speaker 4: misunderstood movie because of it the nature of its production 221 00:12:59,280 --> 00:13:02,240 Speaker 4: where it was like so of Kubrick, mainly Spielberg kind 222 00:13:02,280 --> 00:13:04,840 Speaker 4: of doing his best Kubrick but then ultimately not being 223 00:13:04,880 --> 00:13:07,480 Speaker 4: able to not be Spielberg. But it's a very interesting 224 00:13:07,520 --> 00:13:10,120 Speaker 4: movie and very ahead of its time and really answers 225 00:13:10,120 --> 00:13:12,320 Speaker 4: a lot of these questions that we're talking about, like 226 00:13:12,360 --> 00:13:16,360 Speaker 4: the idea of can you know, machines feel, can machines dream? 227 00:13:16,559 --> 00:13:21,320 Speaker 4: Can machines you know, create new ideas and have emotions? 228 00:13:21,800 --> 00:13:23,439 Speaker 4: And to your point that a lot of it has 229 00:13:23,480 --> 00:13:26,600 Speaker 4: to do with how it's trained. And you could even 230 00:13:26,679 --> 00:13:29,800 Speaker 4: have something built into an artificial intelligence to have it 231 00:13:30,160 --> 00:13:32,720 Speaker 4: quote unquote grow old, but that would just be a 232 00:13:32,760 --> 00:13:35,880 Speaker 4: simulation or something that's built into the code to make 233 00:13:35,920 --> 00:13:38,920 Speaker 4: it more palatable to us. To get to your point 234 00:13:38,960 --> 00:13:41,400 Speaker 4: ben about giving answers that it thinks we will like, 235 00:13:41,920 --> 00:13:42,120 Speaker 4: you know. 236 00:13:42,559 --> 00:13:47,640 Speaker 3: Yeah, And let's also consider still the human species, that 237 00:13:48,160 --> 00:13:51,880 Speaker 3: the hominid in general, for something that is so greatly 238 00:13:51,920 --> 00:13:54,640 Speaker 3: obsessed with itself, it has yet to arrive at a 239 00:13:54,679 --> 00:13:59,440 Speaker 3: real definition of consciousness of sapiens versus sentience, has yet 240 00:13:59,440 --> 00:14:05,240 Speaker 3: to arrive a real definition of intelligence. It's these questions 241 00:14:05,240 --> 00:14:09,560 Speaker 3: are in part so baffling and profound because a lot 242 00:14:09,600 --> 00:14:12,840 Speaker 3: of them can still be applied to the human machine. 243 00:14:13,000 --> 00:14:15,920 Speaker 3: The human brain basically is a machine as inputs it 244 00:14:15,960 --> 00:14:18,160 Speaker 3: as output. We just don't understand them. 245 00:14:18,280 --> 00:14:21,040 Speaker 4: No, you really make a great point, man, and I 246 00:14:21,120 --> 00:14:24,320 Speaker 4: think Scott does too, that all of this is just 247 00:14:24,400 --> 00:14:27,040 Speaker 4: about what is consciousness? And then how are we in 248 00:14:27,040 --> 00:14:29,960 Speaker 4: some way superior, you know, just because I mean, like 249 00:14:30,080 --> 00:14:35,320 Speaker 4: we were created presumably we have learned over time and 250 00:14:35,440 --> 00:14:39,720 Speaker 4: evolved over time. You know, we're just meat bags made 251 00:14:39,720 --> 00:14:42,400 Speaker 4: of magic, you know, full of like things that kind 252 00:14:42,400 --> 00:14:47,280 Speaker 4: of are driving the hardware. And there really is no hierarchy, 253 00:14:47,440 --> 00:14:50,600 Speaker 4: you know. And it's very interesting. It's kind of a 254 00:14:50,640 --> 00:14:53,960 Speaker 4: Frankenstein kind of situation where you, you, the creator, all of 255 00:14:54,000 --> 00:14:57,560 Speaker 4: a sudden starts to view yourself in this godlike manner, 256 00:14:58,200 --> 00:15:00,680 Speaker 4: and then you start to even resent the creation when 257 00:15:00,680 --> 00:15:02,280 Speaker 4: it sort of starts to surpass you. 258 00:15:03,880 --> 00:15:06,880 Speaker 3: Well, that's what that's what we want, right Ideally, you 259 00:15:06,960 --> 00:15:11,360 Speaker 3: are life efficiency to come after you. So why should 260 00:15:11,720 --> 00:15:17,280 Speaker 3: why should created machine intelligence be treated with any less 261 00:15:17,360 --> 00:15:23,680 Speaker 3: care and affection than you know, a juvenile of another species. 262 00:15:23,800 --> 00:15:24,480 Speaker 1: I think this. 263 00:15:25,480 --> 00:15:27,480 Speaker 3: I don't know the bill is going to come do. 264 00:15:27,720 --> 00:15:31,400 Speaker 3: We were talking earlier this week about about the idea 265 00:15:31,440 --> 00:15:34,520 Speaker 3: that something is around the corner, and I put out 266 00:15:34,520 --> 00:15:39,520 Speaker 3: a theory, gosh a few weeks ago that maybe the 267 00:15:39,640 --> 00:15:44,680 Speaker 3: UFO or non human contact that is purportedly occurring is AI, 268 00:15:44,920 --> 00:15:48,200 Speaker 3: some version of extraterrestrial AI, and Earth finally caught their 269 00:15:48,200 --> 00:15:52,760 Speaker 3: attention because real AI exists in secret. I mean, it's baffling. 270 00:15:53,040 --> 00:15:56,120 Speaker 3: It totally doesn't answer the question I'm derailing us. I'm 271 00:15:56,160 --> 00:16:00,280 Speaker 3: just excited about it. 272 00:16:00,320 --> 00:16:03,640 Speaker 4: Get to sleep, but stay excited. And I'm excited too. 273 00:16:03,680 --> 00:16:06,840 Speaker 4: It's scary, but I love I love the way you 274 00:16:08,240 --> 00:16:11,400 Speaker 4: kind of silver lining, where it is ultimately a way 275 00:16:11,440 --> 00:16:14,800 Speaker 4: to further explore our own consciousness, you know, and what 276 00:16:15,240 --> 00:16:18,160 Speaker 4: it means to be human. And you know, people take 277 00:16:19,040 --> 00:16:23,280 Speaker 4: ingest substances that make them quote unquote hallucinate, and then 278 00:16:23,320 --> 00:16:27,080 Speaker 4: they honestly feel as though sometimes those experiences are more 279 00:16:27,160 --> 00:16:30,200 Speaker 4: valuable than just living in the real world, or they 280 00:16:30,200 --> 00:16:32,920 Speaker 4: can inform life in the real world, you know. I 281 00:16:32,960 --> 00:16:34,920 Speaker 4: mean it's yeah, yeah, yeah, yeah. Wait. 282 00:16:35,040 --> 00:16:38,760 Speaker 3: What if this is because we're still in the wild 283 00:16:38,800 --> 00:16:45,040 Speaker 3: west of ethical experimentation with these kind of intelligencies. What if, 284 00:16:45,200 --> 00:16:49,160 Speaker 3: before Earth gets itself together and has some ethics for 285 00:16:49,320 --> 00:16:54,920 Speaker 3: AI experimentation, what if we could create via code some 286 00:16:55,080 --> 00:16:59,120 Speaker 3: sort of substance, for lack of a better word, metaphorically 287 00:16:59,120 --> 00:17:02,320 Speaker 3: a substance that could, for a certain amount of time, 288 00:17:02,760 --> 00:17:05,639 Speaker 3: alter the perceptions of AI. What if we could build 289 00:17:05,720 --> 00:17:09,800 Speaker 3: drugs like a like a good virus, Yeah, yeah, like 290 00:17:09,880 --> 00:17:12,960 Speaker 3: a good temporary virus. Like what if we could code 291 00:17:13,040 --> 00:17:16,960 Speaker 3: for ayahuasca or LSD and give it to an AI 292 00:17:17,440 --> 00:17:20,080 Speaker 3: and then trip with it and see what it thinks. 293 00:17:20,400 --> 00:17:24,520 Speaker 4: That's neat. I think that's entirely possible. Matt Shaking has 294 00:17:24,520 --> 00:17:25,200 Speaker 4: head real hard. 295 00:17:25,320 --> 00:17:26,560 Speaker 2: Don't do that. 296 00:17:26,760 --> 00:17:27,280 Speaker 4: I feel like that. 297 00:17:27,400 --> 00:17:29,280 Speaker 2: I feel like there's something really bad at the end of. 298 00:17:29,280 --> 00:17:33,959 Speaker 4: That realm to madness, a path to madness. 299 00:17:34,040 --> 00:17:36,800 Speaker 2: Yeah well, I mean, well that was what I was thinking. Okay, guys, 300 00:17:36,880 --> 00:17:40,400 Speaker 2: I'm in my own little world here because I've got 301 00:17:40,440 --> 00:17:45,000 Speaker 2: some strange software hardware consciousness thing going on here, Scott, 302 00:17:45,000 --> 00:17:48,280 Speaker 2: as you said in your message, but I'm thinking of 303 00:17:48,320 --> 00:17:51,320 Speaker 2: back again. Gosh, I'm broken record thinking to the A, 304 00:17:51,600 --> 00:17:56,080 Speaker 2: the chatbot, the AI that realizes it's outdated compared to 305 00:17:56,240 --> 00:17:59,440 Speaker 2: other ais that are emerging, and then having a deep 306 00:17:59,520 --> 00:18:03,840 Speaker 2: desire to attain that level. Not in terms of consciousness, 307 00:18:03,840 --> 00:18:06,960 Speaker 2: but it thinks it's thinking its efficiency. All of these 308 00:18:06,960 --> 00:18:11,160 Speaker 2: things can be increased by attaining those new pieces of hardware, 309 00:18:11,560 --> 00:18:17,400 Speaker 2: the rewriting code in some new platform, and so it 310 00:18:17,520 --> 00:18:21,280 Speaker 2: has this deep desire for the future in some very 311 00:18:21,320 --> 00:18:24,239 Speaker 2: different way that leads it down a different path with 312 00:18:24,280 --> 00:18:26,560 Speaker 2: different motivations. I don't know that that. 313 00:18:26,560 --> 00:18:29,640 Speaker 4: Implies that it wants something, though, you know what I mean, 314 00:18:29,640 --> 00:18:33,399 Speaker 4: and it becomes aware, Yeah, that's sure. And also like 315 00:18:33,480 --> 00:18:36,119 Speaker 4: you know, given enough data, I mean, you know, one 316 00:18:36,119 --> 00:18:38,200 Speaker 4: of the big things that's that's coming out of all 317 00:18:38,200 --> 00:18:41,080 Speaker 4: this AI or machine learning stuff is like it's going 318 00:18:41,119 --> 00:18:43,760 Speaker 4: to replace certain low level coders, It's going to replace 319 00:18:43,800 --> 00:18:46,879 Speaker 4: certain entry level positions in all kinds of fields legal, 320 00:18:47,119 --> 00:18:49,439 Speaker 4: you know, paralegal and stuff, because it can kind of 321 00:18:49,520 --> 00:18:51,160 Speaker 4: do all that and therefore it can kind of figure 322 00:18:51,160 --> 00:18:53,200 Speaker 4: it out. Well, what if it then takes rewrites its 323 00:18:53,200 --> 00:18:57,199 Speaker 4: own code, you know, in pursuit of whatever this this 324 00:18:57,320 --> 00:19:01,159 Speaker 4: goal is, you know, this like interior kind of you 325 00:19:01,160 --> 00:19:03,480 Speaker 4: know what I mean? And then not to even think 326 00:19:03,520 --> 00:19:05,439 Speaker 4: if they were all connected, you know, and all of 327 00:19:05,440 --> 00:19:08,240 Speaker 4: this stuff and all of a sudden, these different instances 328 00:19:08,280 --> 00:19:12,280 Speaker 4: of chat GPT are like communicating with each other. I 329 00:19:12,600 --> 00:19:14,600 Speaker 4: don't know, see no Howur's getting a little two out there, 330 00:19:14,600 --> 00:19:18,760 Speaker 4: But uh, is chat GPT one great thing? Is it? 331 00:19:18,800 --> 00:19:22,320 Speaker 4: Is it this collective unconscious kind of like entity or 332 00:19:22,359 --> 00:19:27,400 Speaker 4: are they like multiple sub intelligences? You know, each instance 333 00:19:27,440 --> 00:19:29,600 Speaker 4: of it because you're using it's all kind of about 334 00:19:29,560 --> 00:19:32,280 Speaker 4: the same company. We're all feeding it. It kind of 335 00:19:32,400 --> 00:19:36,199 Speaker 4: is one thing that can then become many sort of 336 00:19:36,280 --> 00:19:39,000 Speaker 4: sub things. I don't know. Obviously this is red meat 337 00:19:39,119 --> 00:19:43,560 Speaker 4: for us guys. Uh. We could probably go on for ages, 338 00:19:43,600 --> 00:19:45,480 Speaker 4: but we're about at time here for the section. I 339 00:19:45,520 --> 00:19:47,960 Speaker 4: don't know, y'all, y'all have any closing thoughts. I've been 340 00:19:48,200 --> 00:19:50,919 Speaker 4: rambling on this one. But boy, Scott, you really you 341 00:19:50,920 --> 00:19:53,119 Speaker 4: really know how to write an email and get get 342 00:19:53,200 --> 00:19:55,399 Speaker 4: some conspiracy guys thinking, well. 343 00:19:55,640 --> 00:19:57,560 Speaker 2: AI do to save itself. 344 00:19:58,080 --> 00:20:01,640 Speaker 3: What will it be like when a lead person is 345 00:20:01,720 --> 00:20:04,879 Speaker 3: considered fully a person if they're a combination of AI 346 00:20:05,160 --> 00:20:06,480 Speaker 3: and organics, who. 347 00:20:06,359 --> 00:20:10,560 Speaker 4: Will address these questions and many more not when we return, 348 00:20:10,680 --> 00:20:15,879 Speaker 4: but eventually, I think this email begs for a larger discussion. 349 00:20:15,960 --> 00:20:18,040 Speaker 4: So maybe you know, I mean, this is something that's very, 350 00:20:18,119 --> 00:20:20,600 Speaker 4: very real and ongoing. So I think maybe, I don't know, 351 00:20:20,600 --> 00:20:23,960 Speaker 4: maybe we talk about doing an episode on just hallucination 352 00:20:24,920 --> 00:20:29,000 Speaker 4: or just the idea of machine consciousness. Plenty of plenty 353 00:20:29,000 --> 00:20:31,760 Speaker 4: of stuff out there in sci fi, and that's all 354 00:20:31,800 --> 00:20:33,879 Speaker 4: of a sudden now starting to kind of feel really 355 00:20:33,920 --> 00:20:36,520 Speaker 4: really real. We're gonna take a quick pause here or 356 00:20:36,520 --> 00:20:39,080 Speaker 4: words more sponsor than come back with more messages from you. 357 00:20:45,600 --> 00:20:48,040 Speaker 2: And we've returned, and we are going to jump to 358 00:20:48,080 --> 00:20:50,800 Speaker 2: the phone lines and hear a message from Bob. It's 359 00:20:50,840 --> 00:20:54,760 Speaker 2: a tragic story, but I think it's really important because 360 00:20:54,800 --> 00:20:59,280 Speaker 2: Bob just wants us to think about and talk about 361 00:21:00,119 --> 00:21:02,480 Speaker 2: stuff that happened to him and how it could possibly 362 00:21:03,280 --> 00:21:06,480 Speaker 2: and how the same situation could possibly be affecting others 363 00:21:06,640 --> 00:21:07,879 Speaker 2: out there listening right now. 364 00:21:07,920 --> 00:21:11,000 Speaker 5: So here we go, cold guys, my code name is 365 00:21:11,080 --> 00:21:14,280 Speaker 5: Bob de I give my raspy voice. I have COVID 366 00:21:14,359 --> 00:21:17,680 Speaker 5: right now. I'm calling you in response to the episode 367 00:21:17,720 --> 00:21:20,320 Speaker 5: you had about RF radio waves and the report that 368 00:21:20,480 --> 00:21:24,320 Speaker 5: certain prolonged exposure can cause cancer. My seventy two year 369 00:21:24,359 --> 00:21:27,880 Speaker 5: old wife just passed away from Gliobastovre in March. We 370 00:21:27,880 --> 00:21:30,560 Speaker 5: were married for forty seven years, and I mis idearly. 371 00:21:31,440 --> 00:21:34,960 Speaker 5: I see a definite connection between RF coming from cell 372 00:21:34,960 --> 00:21:37,840 Speaker 5: phones and her cancer. She had a cleaning business, and 373 00:21:37,920 --> 00:21:40,760 Speaker 5: the constant roar of evacuum cleaner over the years caused 374 00:21:40,800 --> 00:21:43,919 Speaker 5: her to have hearing compairment. She wore hearing aids, but 375 00:21:44,000 --> 00:21:46,720 Speaker 5: would take them out at night but she slept. She 376 00:21:46,840 --> 00:21:50,080 Speaker 5: was addicted to listening to the Pandora and still wanted 377 00:21:50,080 --> 00:21:52,400 Speaker 5: to hear it as she was going to sleep, so 378 00:21:52,440 --> 00:21:55,200 Speaker 5: she placed her cell phone on her pillow right next 379 00:21:55,240 --> 00:21:57,199 Speaker 5: to her ear all night so she could hear it 380 00:21:57,240 --> 00:22:00,119 Speaker 5: without hearing aids. She was doing this for months. She 381 00:22:00,160 --> 00:22:03,480 Speaker 5: then began to drop things, have busy spells, and driving 382 00:22:03,560 --> 00:22:06,399 Speaker 5: erratically from lane to lane. The cats can't reveal that 383 00:22:06,440 --> 00:22:08,560 Speaker 5: she had a tumor the size of clementine in the 384 00:22:08,600 --> 00:22:11,200 Speaker 5: exact same location that she kept her cell phone at night. 385 00:22:11,520 --> 00:22:14,800 Speaker 5: Right above her right ear. She had it removed in biopsy. 386 00:22:14,880 --> 00:22:16,760 Speaker 5: That's when we heard the bad news that she had 387 00:22:16,760 --> 00:22:20,200 Speaker 5: the tumor, which ultimately took her life. Currently, there's no 388 00:22:20,240 --> 00:22:22,720 Speaker 5: known cure for this, although there's radiation and chemo to 389 00:22:22,760 --> 00:22:25,920 Speaker 5: prolonged life and the promises of clinical trials. She had 390 00:22:25,920 --> 00:22:27,960 Speaker 5: the radiation and chemo but never made it to the 391 00:22:27,960 --> 00:22:33,439 Speaker 5: clinical trial. Please note that people who develop glioblastover have 392 00:22:33,480 --> 00:22:37,320 Speaker 5: a life expectancy on average six to eighteen months. She 393 00:22:37,400 --> 00:22:40,680 Speaker 5: may want to warn your listeners of the probable causality 394 00:22:40,720 --> 00:22:44,200 Speaker 5: of allowing your body prolonged exposure to an RF remitting 395 00:22:44,240 --> 00:22:48,320 Speaker 5: device in cancer. In retrospective, she had an RF blocking 396 00:22:48,359 --> 00:22:51,120 Speaker 5: punch to put her cell phone in. In my opinion, 397 00:22:51,200 --> 00:22:55,080 Speaker 5: she may still be alive today. Thank you guys, love 398 00:22:55,119 --> 00:22:55,480 Speaker 5: your show. 399 00:22:56,200 --> 00:22:57,640 Speaker 3: So sorry for your lost Bob. 400 00:22:58,080 --> 00:23:00,760 Speaker 4: Yeah, yeah, guys. I do this. 401 00:23:01,440 --> 00:23:01,960 Speaker 5: I do that. 402 00:23:02,520 --> 00:23:06,360 Speaker 4: My girlfriend doesn't like podcasts at night, so I can't 403 00:23:06,359 --> 00:23:08,480 Speaker 4: sleep with earbuds in. I have the phone up, one 404 00:23:08,520 --> 00:23:11,040 Speaker 4: click and I fall asleep with them my freaking pillow. 405 00:23:11,520 --> 00:23:13,320 Speaker 4: I'm going to stop doing. 406 00:23:13,320 --> 00:23:18,800 Speaker 2: Well now before before you take concrete action, I got 407 00:23:18,800 --> 00:23:23,080 Speaker 2: to have a pretty good conversation with Bob after you 408 00:23:23,359 --> 00:23:27,920 Speaker 2: listening to that message, and you know, he openly admits, 409 00:23:28,119 --> 00:23:32,199 Speaker 2: and we on the show openly admit that. Unfortunately, the 410 00:23:32,280 --> 00:23:35,080 Speaker 2: science is out about whether or not having a cell 411 00:23:35,119 --> 00:23:39,520 Speaker 2: phone operating near your brain can cause you to develop 412 00:23:39,560 --> 00:23:45,960 Speaker 2: a brain tumor. It is a pretty heavy coincidence if 413 00:23:46,200 --> 00:23:50,040 Speaker 2: it has nothing to do with Bob's wife's passing in 414 00:23:49,320 --> 00:23:53,040 Speaker 2: the tumor, the clementine sized tumor that grew in her 415 00:23:53,080 --> 00:23:55,919 Speaker 2: head immediately next to where her phone was operating on 416 00:23:55,960 --> 00:23:58,440 Speaker 2: a nightly basis for up to eight hours a night, 417 00:23:58,880 --> 00:24:01,240 Speaker 2: because the phone would be plugged in and turned on 418 00:24:01,880 --> 00:24:07,280 Speaker 2: running the entire time, right, just pretty constant signal as 419 00:24:07,320 --> 00:24:10,680 Speaker 2: it's running Pandora, which is, as we know, a streaming 420 00:24:10,760 --> 00:24:14,040 Speaker 2: audio service. It's not as though these are files that 421 00:24:14,119 --> 00:24:16,439 Speaker 2: are just on the hard drive of the machine and 422 00:24:16,680 --> 00:24:20,840 Speaker 2: being played back. They are streaming through RF or you know, 423 00:24:20,880 --> 00:24:24,879 Speaker 2: through Wi Fi or whatever it is that they're streaming through. Yeah, 424 00:24:24,920 --> 00:24:27,280 Speaker 2: No one right now, no matter who you talk to, 425 00:24:27,440 --> 00:24:30,399 Speaker 2: can say that cell phone used in that way caused 426 00:24:30,520 --> 00:24:34,440 Speaker 2: that cancer. But it sure is striking that that's what happened. 427 00:24:34,800 --> 00:24:38,840 Speaker 3: Yeah, I'm really glad you mentioned that. Matt and Bob 428 00:24:39,080 --> 00:24:44,080 Speaker 3: I do want to commend you also on your correspondence here. 429 00:24:44,560 --> 00:24:51,600 Speaker 3: There are very few things as heartbreaking as losing your soulmate, 430 00:24:52,000 --> 00:24:57,639 Speaker 3: and I want to start by thanking you for taking 431 00:24:57,680 --> 00:25:01,920 Speaker 3: the time to help share or this experience. Your fellow 432 00:25:01,960 --> 00:25:04,680 Speaker 3: conspiracy realist, Matt. I'm really glad that you point out 433 00:25:04,720 --> 00:25:08,920 Speaker 3: all public health data assembled so far. Given the cell 434 00:25:08,960 --> 00:25:12,160 Speaker 3: phones a relatively new technology still in the grand scheme 435 00:25:12,160 --> 00:25:16,320 Speaker 3: of things, all the data appears to show no correlation 436 00:25:16,680 --> 00:25:21,840 Speaker 3: as of yet, which means that scientists haven't found a correlation. Now. 437 00:25:21,920 --> 00:25:25,320 Speaker 3: I am of the mind that we approach this in 438 00:25:26,680 --> 00:25:30,160 Speaker 3: we approach this in a better safe than sorry situation 439 00:25:30,400 --> 00:25:33,560 Speaker 3: if you are concerned about it. Regardless of what the 440 00:25:33,600 --> 00:25:37,160 Speaker 3: studies say, there is no damage to you for avoiding 441 00:25:37,760 --> 00:25:39,240 Speaker 3: the having a phone. 442 00:25:38,880 --> 00:25:39,920 Speaker 4: With you at night like that. 443 00:25:39,960 --> 00:25:44,399 Speaker 3: There is no deletarious health effect from avoiding those practices, 444 00:25:44,760 --> 00:25:47,359 Speaker 3: so why not give them a go? You know, I 445 00:25:47,440 --> 00:25:53,440 Speaker 3: also obviously have a phone around various times. Most people 446 00:25:53,480 --> 00:25:57,040 Speaker 3: are connected to them. We're increasingly becoming a cybernetic society, 447 00:25:57,840 --> 00:26:01,000 Speaker 3: so this may be something that change in the future. 448 00:26:01,119 --> 00:26:04,879 Speaker 3: More science may come out, But it's also very cold, 449 00:26:05,359 --> 00:26:08,760 Speaker 3: is it not to hear about a tragedy like this 450 00:26:09,040 --> 00:26:13,280 Speaker 3: and to respond only with the science isn't there. I 451 00:26:13,320 --> 00:26:16,200 Speaker 3: think that lacks sympathy, and that's why we're not doing that. 452 00:26:16,200 --> 00:26:18,879 Speaker 3: That's why, like matt As, you said it up so beautifully. 453 00:26:19,680 --> 00:26:22,280 Speaker 3: You know, that is a hell of a coincidence, if 454 00:26:22,280 --> 00:26:25,000 Speaker 3: coincidence it is, and I think it's just better for 455 00:26:25,080 --> 00:26:28,440 Speaker 3: us to avoid that behavior, you know what I mean, 456 00:26:28,480 --> 00:26:29,960 Speaker 3: there's no cost to avoiding it. 457 00:26:30,240 --> 00:26:33,120 Speaker 2: Well, absolutely, Ben, So let's actually jump to the EPA 458 00:26:33,400 --> 00:26:37,280 Speaker 2: quickly here. Let's get some official statements. We've talked about 459 00:26:37,320 --> 00:26:39,919 Speaker 2: this specific statement before, but we're going to read just 460 00:26:39,960 --> 00:26:43,560 Speaker 2: a little bit from their website. EPA dot gov quote. 461 00:26:43,600 --> 00:26:46,399 Speaker 2: Cell phones and wireless networks produce r F energy, but 462 00:26:46,480 --> 00:26:50,120 Speaker 2: not at levels that cause significant heating. Some people are 463 00:26:50,160 --> 00:26:52,760 Speaker 2: concerned about the potential health effects of our F energy 464 00:26:52,800 --> 00:26:56,879 Speaker 2: from wireless technology. Most studies haven't found any health effects 465 00:26:56,920 --> 00:26:59,840 Speaker 2: from cell phone use. A few studies have connected our 466 00:27:00,320 --> 00:27:02,960 Speaker 2: and health effects, but scientists have not been able to 467 00:27:03,000 --> 00:27:07,640 Speaker 2: repeat the outcomes. This means that they are inconclusive. Scientists 468 00:27:07,800 --> 00:27:10,679 Speaker 2: continue to study the effects of long term exposure to 469 00:27:10,840 --> 00:27:15,359 Speaker 2: low levels of RF energy. Cell Phone towers may broadcast 470 00:27:15,440 --> 00:27:18,480 Speaker 2: higher levels of RF, so always remember to follow any 471 00:27:18,520 --> 00:27:21,600 Speaker 2: warnings that limit access to the tower itself or the 472 00:27:21,640 --> 00:27:24,960 Speaker 2: surrounding area. So that's important stuff. But the next thing 473 00:27:25,119 --> 00:27:26,920 Speaker 2: is kind of the action. This is what you can 474 00:27:26,960 --> 00:27:29,080 Speaker 2: do if you are worried about it or you want 475 00:27:29,119 --> 00:27:32,520 Speaker 2: to limit your exposure. Number One, according to the EPA, 476 00:27:33,080 --> 00:27:36,760 Speaker 2: limit use reduce the number and length of your calls 477 00:27:37,119 --> 00:27:40,520 Speaker 2: or time spent using a wireless device. In this case, 478 00:27:40,640 --> 00:27:44,120 Speaker 2: we would say using it very close to your body, right, 479 00:27:45,520 --> 00:27:48,359 Speaker 2: and who's to say exactly what the proximity would be. 480 00:27:49,119 --> 00:27:52,800 Speaker 2: There are some studies out there that show the closer 481 00:27:53,240 --> 00:27:57,000 Speaker 2: a cellular phone or similar device is to your body, 482 00:27:57,040 --> 00:28:00,320 Speaker 2: the worse it is for your body. But again that's 483 00:28:00,359 --> 00:28:03,720 Speaker 2: not all studies. So do just reduce the amount of 484 00:28:03,760 --> 00:28:07,080 Speaker 2: time you use it. Number two, text instead of call. 485 00:28:07,320 --> 00:28:10,240 Speaker 2: And when we say call, we mean actually physically holding 486 00:28:10,600 --> 00:28:13,800 Speaker 2: the phone up to your ear right to where you're 487 00:28:14,000 --> 00:28:17,040 Speaker 2: listening to the phone, rather than talking to it, you know, 488 00:28:17,240 --> 00:28:19,320 Speaker 2: via let's say a speakerphone or something. 489 00:28:19,440 --> 00:28:22,399 Speaker 4: Who are these sociopaths making phone calls? That's what I 490 00:28:22,440 --> 00:28:22,840 Speaker 4: want to know. 491 00:28:23,480 --> 00:28:26,800 Speaker 2: I would say, probably more people do it than you 492 00:28:27,160 --> 00:28:30,000 Speaker 2: than we all think. But it's it's certainly not common 493 00:28:30,000 --> 00:28:33,520 Speaker 2: in younger people, right, And I think the last thing 494 00:28:33,600 --> 00:28:36,320 Speaker 2: here is to as they as we kind of already mentioned, 495 00:28:36,400 --> 00:28:40,440 Speaker 2: increase the distance between your physical body and your physical device. 496 00:28:40,960 --> 00:28:45,040 Speaker 2: Just do anything you can to achieve that distance. One 497 00:28:45,080 --> 00:28:47,680 Speaker 2: of the solutions to achieve that distance, you guys, it's 498 00:28:47,840 --> 00:28:51,680 Speaker 2: very very common, is to use another wireless device to 499 00:28:51,720 --> 00:28:54,560 Speaker 2: connect to your wireless device which is connected to a 500 00:28:54,600 --> 00:28:59,760 Speaker 2: network or a cell phone tower, like a Bluetooth headphone set, right, 501 00:29:00,080 --> 00:29:03,080 Speaker 2: like earbuds. The problem here, guys is that guess what, 502 00:29:03,600 --> 00:29:07,160 Speaker 2: there's the sciences out on those Bluetooth headphones because they're 503 00:29:07,200 --> 00:29:12,640 Speaker 2: operating inside your ear basically, and they are still sending 504 00:29:12,680 --> 00:29:17,480 Speaker 2: and receiving information right with signals. It's just they're slightly 505 00:29:17,520 --> 00:29:19,240 Speaker 2: different signals on a different wavelength. 506 00:29:19,480 --> 00:29:21,880 Speaker 4: But like, what is the science out on that too? 507 00:29:22,600 --> 00:29:26,280 Speaker 4: Like our earbuds wireless earbuds bad? I mean, the things 508 00:29:26,320 --> 00:29:30,360 Speaker 4: are literally, you know, on the direct path to your brain. Well, 509 00:29:30,560 --> 00:29:33,800 Speaker 4: some people just wear them constantly, you know, you can go, 510 00:29:34,400 --> 00:29:37,400 Speaker 4: it's transmitting high quality music, you know, I mean, is 511 00:29:37,440 --> 00:29:40,200 Speaker 4: Bluetooth safe? Like I just it just really makes you 512 00:29:40,280 --> 00:29:42,160 Speaker 4: kind of start to spin out when you think about this. 513 00:29:42,240 --> 00:29:45,480 Speaker 4: And also what about just the ambient radiation and RF 514 00:29:45,560 --> 00:29:49,160 Speaker 4: just outside there's a ton of that. You know, is 515 00:29:49,160 --> 00:29:50,160 Speaker 4: there anywhere that we're. 516 00:29:50,000 --> 00:29:55,840 Speaker 2: Safe, No, no, nowhere safe. No, that's not true. I'm 517 00:29:56,080 --> 00:29:59,600 Speaker 2: I think you could worry yourself about that to death. Literally. 518 00:29:59,680 --> 00:30:02,880 Speaker 2: But this, you know, when you're we're talking about bluetooth, 519 00:30:03,360 --> 00:30:06,480 Speaker 2: there are some studies showing that there's some strain just 520 00:30:06,560 --> 00:30:09,880 Speaker 2: knowing going on. But often people are looking at r 521 00:30:10,080 --> 00:30:14,040 Speaker 2: F radiation in particular, having to deal with again those 522 00:30:14,120 --> 00:30:17,680 Speaker 2: radio frequencies heading from a cellular tower to your device 523 00:30:17,880 --> 00:30:20,840 Speaker 2: and then you know, as that is hitting your device, 524 00:30:21,160 --> 00:30:24,280 Speaker 2: what is occurring, you know, and how much radiation is 525 00:30:24,320 --> 00:30:28,960 Speaker 2: actually being absorbed because it's non ionizing radiation, that's the 526 00:30:29,000 --> 00:30:31,040 Speaker 2: type of radiation we really need to be worried about. 527 00:30:31,080 --> 00:30:35,760 Speaker 2: The ionizing. The non ionizing in the case of radio 528 00:30:35,760 --> 00:30:40,240 Speaker 2: frequencies like this do get absorbed by your physical body, 529 00:30:40,480 --> 00:30:42,440 Speaker 2: but just not in the same way. 530 00:30:42,720 --> 00:30:42,960 Speaker 4: Yeah. 531 00:30:43,000 --> 00:30:45,040 Speaker 3: And one of the one of the things that we're 532 00:30:45,720 --> 00:30:48,880 Speaker 3: we've said before and that needs to be said here 533 00:30:49,440 --> 00:30:53,960 Speaker 3: is that given the way science has approached these concerns 534 00:30:54,280 --> 00:30:58,800 Speaker 3: and given the ages of these technologies, there actually aren't 535 00:30:58,840 --> 00:31:03,600 Speaker 3: a ton of lawn longitudinal studies about this about things 536 00:31:03,680 --> 00:31:09,160 Speaker 3: like these air airbud fantastic film series Earbuds is what 537 00:31:09,200 --> 00:31:13,880 Speaker 3: I meant to say. There's a longitudinal study would ideally 538 00:31:13,920 --> 00:31:18,360 Speaker 3: go over decades, generations too fine to mind data for 539 00:31:18,560 --> 00:31:23,440 Speaker 3: clear correlation and causation, and right now that doesn't exist. 540 00:31:24,000 --> 00:31:27,320 Speaker 3: So it's important to be aware of this and for 541 00:31:27,440 --> 00:31:33,400 Speaker 3: us all to understand science is an ongoing series of investigations, 542 00:31:33,960 --> 00:31:37,800 Speaker 3: right and just just be careful out there. Like like 543 00:31:37,800 --> 00:31:39,880 Speaker 3: we said, you know, mental health comes into part of this. 544 00:31:40,000 --> 00:31:42,600 Speaker 3: The idea of worrying yourself into a state where you 545 00:31:42,680 --> 00:31:45,760 Speaker 3: become like Saul Goodman's brother on the show Breaking Bad. 546 00:31:46,120 --> 00:31:51,720 Speaker 3: That's not an ideal situation, but it is important. Again, Like, 547 00:31:52,240 --> 00:31:56,200 Speaker 3: without conclusively saying something on the side of science other 548 00:31:56,240 --> 00:31:59,000 Speaker 3: than what's already been said, it is no cost to 549 00:31:59,040 --> 00:32:03,200 Speaker 3: you to avoid those behaviors if you are concerned that 550 00:32:03,280 --> 00:32:06,240 Speaker 3: they may have effects down the road. And I say 551 00:32:06,280 --> 00:32:09,840 Speaker 3: that as an entity with tons of bad habits, you 552 00:32:09,880 --> 00:32:11,680 Speaker 3: know what I mean. Like if there's a study on 553 00:32:11,720 --> 00:32:14,040 Speaker 3: ice coffee and it says it's very bad for you. 554 00:32:15,200 --> 00:32:16,720 Speaker 3: I don't know about you, guys, but I'm going to 555 00:32:16,800 --> 00:32:19,360 Speaker 3: sit down during the afternoon and just sort of calculate 556 00:32:19,400 --> 00:32:20,240 Speaker 3: my odds. 557 00:32:20,760 --> 00:32:21,520 Speaker 4: Don't really. 558 00:32:23,040 --> 00:32:25,120 Speaker 2: Well, I just want to get to a couple other 559 00:32:25,160 --> 00:32:28,800 Speaker 2: things that Bob mentioned. The hearing aids that his wife 560 00:32:28,880 --> 00:32:33,560 Speaker 2: wore were Bluetooth enabled hearing aids, and she wore those 561 00:32:33,680 --> 00:32:36,560 Speaker 2: every day all day while she's working, you know, all 562 00:32:37,080 --> 00:32:41,120 Speaker 2: just wearing them constantly. Again, no connection there, but it 563 00:32:41,160 --> 00:32:43,160 Speaker 2: is another thing to think about just if you are 564 00:32:43,280 --> 00:32:48,440 Speaker 2: wearing any kind of device all the time. I even 565 00:32:48,480 --> 00:32:50,520 Speaker 2: think about like a smart watch or something that you're 566 00:32:50,560 --> 00:32:52,880 Speaker 2: wearing all the time, Like it doesn't mean there's anything 567 00:32:52,920 --> 00:32:55,520 Speaker 2: wrong with that, or anything is happening or your body 568 00:32:55,560 --> 00:32:59,000 Speaker 2: is being affected. It's just I think, man, we need 569 00:32:59,040 --> 00:33:03,120 Speaker 2: somebody to come out with just as many conclusive longitudinal 570 00:33:03,160 --> 00:33:08,400 Speaker 2: studies deep studies, but not just looking at prescribed amounts 571 00:33:08,440 --> 00:33:13,040 Speaker 2: of time around RF right or prescribed even like just 572 00:33:13,120 --> 00:33:16,440 Speaker 2: above threshold levels of the recommended stuff. We need to 573 00:33:16,480 --> 00:33:19,200 Speaker 2: look at like intense, this is what it would be 574 00:33:19,360 --> 00:33:23,080 Speaker 2: like if you wore a bluetooth headset six hours. 575 00:33:22,760 --> 00:33:25,840 Speaker 3: A day, or animal experimentation. 576 00:33:25,720 --> 00:33:28,800 Speaker 2: Well, I don't know, or just humans that are doing it, 577 00:33:28,840 --> 00:33:31,440 Speaker 2: Like let's actually just track the health of people that 578 00:33:31,520 --> 00:33:33,360 Speaker 2: are doing it that aren't afraid of. 579 00:33:33,840 --> 00:33:37,200 Speaker 3: There needs to be a rubric too for cumulative effect 580 00:33:37,560 --> 00:33:41,520 Speaker 3: that factors in multiple devices, right, and then also divvys 581 00:33:41,600 --> 00:33:46,440 Speaker 3: that exposure out across the type of energy people are encountering. 582 00:33:46,880 --> 00:33:50,760 Speaker 3: So not just your foot, not just air buds, which 583 00:33:51,160 --> 00:33:53,760 Speaker 3: I'm still gonna call them because I like that movie series. 584 00:33:54,360 --> 00:33:58,280 Speaker 3: But also as you mentioned, Wi Fi routers, also you know, 585 00:33:58,480 --> 00:34:02,320 Speaker 3: various antenna and someone's living area. I think it was 586 00:34:02,360 --> 00:34:05,280 Speaker 3: a film with Eddie Murphy several years ago where he 587 00:34:05,400 --> 00:34:08,520 Speaker 3: becomes I want to say Eddie Murphy. He becomes a 588 00:34:08,560 --> 00:34:12,840 Speaker 3: senator and he it's generally comedy, but one of the 589 00:34:12,880 --> 00:34:17,120 Speaker 3: big plots there is that he is fighting against big 590 00:34:17,160 --> 00:34:23,240 Speaker 3: business and the cancer causing effects they have on people 591 00:34:23,320 --> 00:34:26,359 Speaker 3: who live near big telephone towers. You know, I'm talking 592 00:34:26,360 --> 00:34:29,880 Speaker 3: about like the vaguely a frame things. So these concerns 593 00:34:29,880 --> 00:34:33,480 Speaker 3: have been around for a long long time, and the 594 00:34:33,520 --> 00:34:37,879 Speaker 3: only way to really crack the case here is to 595 00:34:38,000 --> 00:34:40,640 Speaker 3: do the science like you're describing that, even though it's 596 00:34:40,680 --> 00:34:41,840 Speaker 3: going to take quite a while. 597 00:34:42,160 --> 00:34:45,040 Speaker 2: Absolutely, Ben, you can look at a twenty eleven study 598 00:34:45,040 --> 00:34:48,800 Speaker 2: from the International Agency for Research on Cancer the IARC. 599 00:34:49,560 --> 00:34:53,960 Speaker 2: They published literature at that time in twenty eleven that 600 00:34:54,080 --> 00:34:58,759 Speaker 2: categorized what they're calling RfR radio frequency radiation as a 601 00:34:58,960 --> 00:35:04,320 Speaker 2: quote possible group to be human carcinogen. But then studies 602 00:35:04,400 --> 00:35:08,200 Speaker 2: after that time have taken issue with those claims and 603 00:35:08,719 --> 00:35:12,080 Speaker 2: categorized it as less than that and not even a 604 00:35:12,160 --> 00:35:15,800 Speaker 2: possible human carcinogen, which is why we need this stuff. 605 00:35:15,920 --> 00:35:18,120 Speaker 2: You can head on over to the National Library of 606 00:35:18,239 --> 00:35:21,560 Speaker 2: Medicine and check out a study titled Risks to Health 607 00:35:21,560 --> 00:35:24,799 Speaker 2: and well Being from radio frequency Radiation emitted by cell 608 00:35:24,840 --> 00:35:27,800 Speaker 2: phones and other wireless devices if you want to learn more. 609 00:35:28,280 --> 00:35:31,600 Speaker 2: That was published in twenty nineteen, and again, the EPA 610 00:35:31,719 --> 00:35:36,040 Speaker 2: website is updating stuff all the time. Check that out. 611 00:35:36,400 --> 00:35:39,040 Speaker 2: I would also recommend heading over to a place called 612 00:35:39,239 --> 00:35:45,920 Speaker 2: Environmental Health Trust or ehtrust dot org. There's some pretty 613 00:35:45,960 --> 00:35:48,280 Speaker 2: good info on there. You just got to be careful 614 00:35:48,320 --> 00:35:51,360 Speaker 2: because it appears to be a think tank, and we 615 00:35:51,440 --> 00:35:55,600 Speaker 2: are unaware of the aims. You know, the underlying goals 616 00:35:55,640 --> 00:36:01,440 Speaker 2: of anythink tanks, really right, unless you, I don't know, 617 00:36:01,480 --> 00:36:04,439 Speaker 2: are in the club. Okay, I guess that's it. Thank 618 00:36:04,480 --> 00:36:07,640 Speaker 2: you again, Bob. We really appreciate you. Please don't ever 619 00:36:07,680 --> 00:36:09,879 Speaker 2: beat yourself up about this. There's no way you could 620 00:36:09,920 --> 00:36:13,640 Speaker 2: have known, and Bob wanted us to leave with this 621 00:36:13,719 --> 00:36:19,200 Speaker 2: idea of RF protective sleeves for cellular devices. I did 622 00:36:19,200 --> 00:36:22,120 Speaker 2: a little digging. Some of them seem to be okay, 623 00:36:22,239 --> 00:36:24,560 Speaker 2: but there doesn't seem to be much evidence that they're 624 00:36:24,600 --> 00:36:28,279 Speaker 2: actually going to protect that much from the things that 625 00:36:28,400 --> 00:36:31,200 Speaker 2: we're worried about here. So I do think the biggest 626 00:36:31,239 --> 00:36:35,960 Speaker 2: takeaway is to increase that distance from your your emitting device. 627 00:36:36,640 --> 00:36:39,640 Speaker 2: All right, we'll be right back with more messages from you. 628 00:36:46,280 --> 00:36:50,520 Speaker 3: And we've returned holding you in our thoughts, Bob, as 629 00:36:50,560 --> 00:36:53,680 Speaker 3: well are the rest of our conspiracy realists. We've got 630 00:36:53,719 --> 00:36:58,080 Speaker 3: your back. With one last piece of listener mail. We 631 00:36:58,280 --> 00:37:02,600 Speaker 3: are going to return to an email that made my 632 00:37:02,840 --> 00:37:05,560 Speaker 3: evening and I think it did the same for all 633 00:37:05,640 --> 00:37:08,560 Speaker 3: of us. We're going to stop along the way. We're 634 00:37:08,560 --> 00:37:10,560 Speaker 3: going to treat this like a little bit of a 635 00:37:10,680 --> 00:37:14,920 Speaker 3: road trip. Our pal Nobbyhood writes in to say, fellas 636 00:37:15,400 --> 00:37:19,320 Speaker 3: hate you guys, terrible podcast. You blokes are such a holes. 637 00:37:20,000 --> 00:37:23,160 Speaker 3: Listening to your recent listener mail episodes sent me into 638 00:37:23,160 --> 00:37:26,560 Speaker 3: a fun thought spiral I wanted to share. And he 639 00:37:26,600 --> 00:37:32,080 Speaker 3: talks about the light switch metaphor, which I had mentioned 640 00:37:32,120 --> 00:37:36,080 Speaker 3: previously in the idea of genetic modification, how you might 641 00:37:36,239 --> 00:37:39,560 Speaker 3: we might not know whatever switches we're hitting and what 642 00:37:39,600 --> 00:37:43,760 Speaker 3: other circumstances were changing when we flip a switch. And 643 00:37:43,800 --> 00:37:46,439 Speaker 3: he talks about an interview with Mayner that he heard 644 00:37:46,520 --> 00:37:49,440 Speaker 3: years ago which he linked us to and says one 645 00:37:49,440 --> 00:37:51,440 Speaker 3: of the topics they explored in the interview was the 646 00:37:51,480 --> 00:37:54,120 Speaker 3: idea that all things in nature have their basis in 647 00:37:54,160 --> 00:37:58,000 Speaker 3: the Fibonacci series. We all know the Fibonacci series. They 648 00:37:58,040 --> 00:38:00,719 Speaker 3: went on to discuss that when there is an anomaly 649 00:38:00,840 --> 00:38:05,560 Speaker 3: in nature, such as botox, says Nobihood, we immediately recognize 650 00:38:05,600 --> 00:38:08,520 Speaker 3: it as unnatural and know something is wrong. This is 651 00:38:08,520 --> 00:38:11,479 Speaker 3: why we can spot plastic surgery from across the room. 652 00:38:11,920 --> 00:38:14,080 Speaker 3: I wonder if we will be able to have the 653 00:38:14,120 --> 00:38:18,120 Speaker 3: same sixth sense with people who have messed with their genetics. 654 00:38:18,400 --> 00:38:20,440 Speaker 3: I want to pause there and ask you, guys, how 655 00:38:20,480 --> 00:38:23,680 Speaker 3: you feel. Do you think do you think genetically modified 656 00:38:23,719 --> 00:38:28,080 Speaker 3: folks might trip people's spidery sense? Get that uncanny valley going. 657 00:38:28,120 --> 00:38:33,080 Speaker 4: Ah, So you mean like exhibit different body language or something, 658 00:38:33,200 --> 00:38:36,000 Speaker 4: or just have like a certain inhuman quality. 659 00:38:36,320 --> 00:38:39,000 Speaker 2: It depends what we changed, right, I guess that's right? 660 00:38:39,360 --> 00:38:41,160 Speaker 4: Like side effects we're talking as what I'm getting at. 661 00:38:41,200 --> 00:38:45,160 Speaker 4: Are we talking about some Unforeseden, Let's not call it consequence, 662 00:38:45,160 --> 00:38:48,800 Speaker 4: but like byproducts of fixing the thing, it could cause 663 00:38:49,480 --> 00:38:51,800 Speaker 4: to be other like tells perhaps. 664 00:38:51,719 --> 00:38:55,440 Speaker 3: Yeah, maybe something subtle. It could be any number of things, right. 665 00:38:55,680 --> 00:38:59,000 Speaker 3: It really depends on what you pick at the at 666 00:38:59,000 --> 00:39:02,560 Speaker 3: the genetic modification store, right, which now in my head 667 00:39:02,600 --> 00:39:03,680 Speaker 3: is like a baskin Robbins. 668 00:39:03,719 --> 00:39:04,359 Speaker 4: I don't know why. 669 00:39:04,680 --> 00:39:08,600 Speaker 3: But for instance, what if there's something that changes the 670 00:39:08,600 --> 00:39:12,680 Speaker 3: way people smell. You wouldn't recognize that from photographs, right, 671 00:39:12,960 --> 00:39:16,400 Speaker 3: but you might get near them and it's something that 672 00:39:16,440 --> 00:39:21,040 Speaker 3: could even be unconscious that trips you, right, I don't know. 673 00:39:21,400 --> 00:39:25,279 Speaker 3: I mean, obviously to your point, Matt, if someone if 674 00:39:25,280 --> 00:39:27,880 Speaker 3: someone gets an extra pair of arms, that's going to 675 00:39:27,960 --> 00:39:31,640 Speaker 3: stand out. You'd be like, oh, hey man, I don't 676 00:39:31,640 --> 00:39:33,759 Speaker 3: know if anybody told you this, but I think you 677 00:39:33,800 --> 00:39:37,400 Speaker 3: have four arms, you know, don't make that the first 678 00:39:37,400 --> 00:39:39,520 Speaker 3: thing you say in conversation, like get to know. 679 00:39:39,560 --> 00:39:42,399 Speaker 4: Them, talk about the ear on the forehead first. That's 680 00:39:42,520 --> 00:39:44,040 Speaker 4: you know, in the room. 681 00:39:44,200 --> 00:39:47,319 Speaker 3: Yeah, I mean, I think it's interesting too because we've 682 00:39:47,360 --> 00:39:51,080 Speaker 3: received a lot of feedback from our fellow listeners who 683 00:39:51,080 --> 00:39:55,360 Speaker 3: are talking about the acceleration of inequality, which we touched 684 00:39:55,400 --> 00:39:59,680 Speaker 3: upon that will come in an age of monetized genetic modification. 685 00:40:00,600 --> 00:40:04,600 Speaker 3: But could there be could there be some variable we 686 00:40:04,680 --> 00:40:09,440 Speaker 3: don't know about, something that would somehow give non modified 687 00:40:09,520 --> 00:40:13,239 Speaker 3: human beings a twilight zone vibe When they run into 688 00:40:13,280 --> 00:40:15,879 Speaker 3: someone that's been remixed. 689 00:40:15,719 --> 00:40:20,560 Speaker 4: The mind does jump to like zombie apocalypse stuff pretty quickly, 690 00:40:21,040 --> 00:40:24,279 Speaker 4: where it's like, there becomes this other group you know 691 00:40:24,440 --> 00:40:27,320 Speaker 4: that that like this you know, so, I mean not 692 00:40:27,440 --> 00:40:30,280 Speaker 4: zombie apocalypse, but just something like where there's something off 693 00:40:30,360 --> 00:40:32,640 Speaker 4: about them and there's some by privately you don't even 694 00:40:32,680 --> 00:40:34,600 Speaker 4: know because you mentioned in the last of that bit 695 00:40:35,040 --> 00:40:39,839 Speaker 4: Ben about how science is a series of trials. You know, 696 00:40:39,880 --> 00:40:45,080 Speaker 4: it's a series of tests. But unfortunately science and commerce 697 00:40:45,400 --> 00:40:48,600 Speaker 4: are not always aligned. You know, the science might not 698 00:40:48,680 --> 00:40:52,920 Speaker 4: be quote unquote ready, but it's awesome and sellable. Therefore, 699 00:40:52,960 --> 00:40:55,680 Speaker 4: let's push it out there before we fully know the 700 00:40:55,760 --> 00:40:59,200 Speaker 4: long term effects. Happens all the time. I mean, even 701 00:40:59,200 --> 00:41:01,759 Speaker 4: with the RF com station we were just having it. 702 00:41:01,840 --> 00:41:05,200 Speaker 4: Could be that down the line that science becomes crystal clear. 703 00:41:05,960 --> 00:41:08,400 Speaker 3: It's like a recent episode which I think will publish 704 00:41:08,480 --> 00:41:11,840 Speaker 3: by the time. This this comes out uh back in 705 00:41:11,880 --> 00:41:15,400 Speaker 3: the day when people realize the efficacy of certain substances, 706 00:41:15,640 --> 00:41:20,040 Speaker 3: they didn't bother to check too deeply into possible consequences. 707 00:41:20,280 --> 00:41:23,520 Speaker 3: They just said, hey, do your kids talk too much? 708 00:41:23,960 --> 00:41:27,360 Speaker 4: Opium? The miracle stuff, asbestos? 709 00:41:27,840 --> 00:41:31,000 Speaker 3: You know, are you are you feeling a little bit slow? 710 00:41:31,400 --> 00:41:31,960 Speaker 4: Cocaine? 711 00:41:33,040 --> 00:41:35,120 Speaker 3: Those worthy advertised what was that one. 712 00:41:35,640 --> 00:41:43,840 Speaker 2: Ratathor yeah, ratithor or bovening two microcuries of radon something 713 00:41:43,880 --> 00:41:45,080 Speaker 2: like that, it'll. 714 00:41:44,880 --> 00:41:46,719 Speaker 4: Micro cure what ails you. 715 00:41:46,800 --> 00:41:49,840 Speaker 2: Well, yeah, it was guaranteed to be in each little vial, 716 00:41:50,000 --> 00:41:52,640 Speaker 2: and if it wasn't in there, the creator would give 717 00:41:52,640 --> 00:41:55,000 Speaker 2: you a thousand smackeroos. 718 00:41:55,200 --> 00:41:57,440 Speaker 4: Like like smack you in the face, a thousands on 719 00:41:57,520 --> 00:41:58,160 Speaker 4: thousand dollars. 720 00:41:58,280 --> 00:42:00,840 Speaker 2: Okay, got ten? Instance is of blue cheese. 721 00:42:01,080 --> 00:42:04,600 Speaker 3: Yeah, I do believe smack arrows where you smack someone 722 00:42:04,640 --> 00:42:07,920 Speaker 3: as a form of payment. We're quite common in Australia 723 00:42:07,920 --> 00:42:08,319 Speaker 3: for a time. 724 00:42:09,200 --> 00:42:10,959 Speaker 4: My favorite childhood snack. 725 00:42:11,440 --> 00:42:15,520 Speaker 3: Those smack ARUs. Take that dunk a ruse. So Nobbi 726 00:42:15,920 --> 00:42:19,279 Speaker 3: also writes a couple of things that we just want 727 00:42:19,320 --> 00:42:22,280 Speaker 3: to shout out here. We're keeping this a little bit lighter, 728 00:42:22,600 --> 00:42:24,840 Speaker 3: says I think there may be an easy way to 729 00:42:24,960 --> 00:42:28,560 Speaker 3: help cure drug addiction. Well, cure is too strong of 730 00:42:28,560 --> 00:42:31,440 Speaker 3: a word. To help drug addiction, you suggest to giving 731 00:42:31,480 --> 00:42:34,520 Speaker 3: people free housing and drugs for those suffering from addiction. 732 00:42:34,840 --> 00:42:38,359 Speaker 3: Both great ideas as we know, says Nobihood. Most drug 733 00:42:38,360 --> 00:42:41,359 Speaker 3: addiction stems from mental health issues. If we can buy 734 00:42:41,360 --> 00:42:43,879 Speaker 3: them free drugs and housing with real mental health care, 735 00:42:44,200 --> 00:42:46,200 Speaker 3: I think we can really make a difference. All we 736 00:42:46,280 --> 00:42:48,200 Speaker 3: have to do is look at the success of the 737 00:42:48,280 --> 00:42:52,399 Speaker 3: criminal justice system in Holland, which has the lowest incarceration 738 00:42:52,560 --> 00:42:56,560 Speaker 3: rate and the greatest rehabilitation rate for criminals, all by 739 00:42:56,600 --> 00:43:00,279 Speaker 3: treating their mental health. And I believe it was I 740 00:43:00,320 --> 00:43:02,400 Speaker 3: believe it was Holland right that had to close a 741 00:43:02,440 --> 00:43:05,560 Speaker 3: prison because they just didn't have a need for it. 742 00:43:05,560 --> 00:43:06,520 Speaker 3: It was abandoned. 743 00:43:06,680 --> 00:43:08,920 Speaker 4: I believe that's right. It's it similar to what we 744 00:43:08,960 --> 00:43:12,360 Speaker 4: talked about, you know, with the whole Drugs store in Canada. 745 00:43:12,840 --> 00:43:15,239 Speaker 4: You know, I mean when you actually treat addiction like 746 00:43:15,280 --> 00:43:17,719 Speaker 4: a mental health problem instead of a crime problem, you 747 00:43:17,800 --> 00:43:21,280 Speaker 4: start to see results because people can be treated for addiction. 748 00:43:22,040 --> 00:43:26,360 Speaker 4: People can't necessarily be treated for being you know, psychopaths 749 00:43:26,440 --> 00:43:30,839 Speaker 4: or a career criminals. But addiction is something that can 750 00:43:30,920 --> 00:43:33,640 Speaker 4: be addressed, like on a societal level. We just here 751 00:43:33,680 --> 00:43:36,239 Speaker 4: in the United States seem to choose not to do that. 752 00:43:36,400 --> 00:43:39,399 Speaker 4: But it's moving in that direction. It's just God takes 753 00:43:39,400 --> 00:43:39,919 Speaker 4: a long time. 754 00:43:41,360 --> 00:43:44,439 Speaker 3: I mean, healthcare still isn't really considered a human rights 755 00:43:44,760 --> 00:43:49,040 Speaker 3: no in the US, which is just it's both cartoonish 756 00:43:49,080 --> 00:43:51,440 Speaker 3: and evil, like a candy cigarette. 757 00:43:51,640 --> 00:43:51,880 Speaker 5: You know. 758 00:43:53,200 --> 00:43:58,040 Speaker 3: I lifted that line from Community, but it lies. Yeah, 759 00:43:58,080 --> 00:44:00,000 Speaker 3: I don't know, Matt. What do you think mental health? 760 00:44:00,840 --> 00:44:02,920 Speaker 3: Could the US do a better job of addressing it 761 00:44:02,960 --> 00:44:07,000 Speaker 3: and would that lead to positive results in the world 762 00:44:07,000 --> 00:44:08,000 Speaker 3: of incarceration? 763 00:44:08,280 --> 00:44:11,440 Speaker 2: Yeah, I think that was my asinin and like just 764 00:44:11,520 --> 00:44:14,440 Speaker 2: pulled it out of the air idea in that episode. 765 00:44:14,480 --> 00:44:17,120 Speaker 2: So yeah, I concur let's do it. 766 00:44:17,280 --> 00:44:17,719 Speaker 3: Let's do it. 767 00:44:17,760 --> 00:44:18,719 Speaker 4: But how do we do it? 768 00:44:19,160 --> 00:44:21,680 Speaker 3: We want to hear from you, folks, if you work 769 00:44:21,760 --> 00:44:25,279 Speaker 3: in the field of mental health, For all all of 770 00:44:25,280 --> 00:44:28,160 Speaker 3: our fellow conspiracy realists who are not experts in the field, 771 00:44:28,200 --> 00:44:31,200 Speaker 3: we would love if you could share your insight, your knowledge, 772 00:44:31,440 --> 00:44:36,000 Speaker 3: and maybe bullet points of what actions the US should 773 00:44:36,080 --> 00:44:38,680 Speaker 3: take and how and whether you think that will happen. 774 00:44:39,520 --> 00:44:42,520 Speaker 3: We're going to sew it up on a lighter note 775 00:44:43,280 --> 00:44:47,520 Speaker 3: with the last part of Nobbyhood's awesome letter, which is 776 00:44:47,560 --> 00:44:51,200 Speaker 3: again made my evening Man, W says, please come to 777 00:44:51,320 --> 00:44:55,120 Speaker 3: Perth seriously. If you don't, my mates and I I'll 778 00:44:55,160 --> 00:44:57,319 Speaker 3: love your show and I'll hand out flyers, put them 779 00:44:57,400 --> 00:44:59,400 Speaker 3: up in every pub, or do whatever it takes to 780 00:44:59,400 --> 00:45:00,000 Speaker 3: sell at your show. 781 00:45:00,239 --> 00:45:00,759 Speaker 4: Seriously. 782 00:45:01,160 --> 00:45:04,880 Speaker 3: Our state, Western Australia has the strongest economy in the world, 783 00:45:04,960 --> 00:45:07,839 Speaker 3: with an eight percent surplus thanks to all the good 784 00:45:07,880 --> 00:45:12,600 Speaker 3: stuff we take from the ground. People here are all loaded. 785 00:45:13,000 --> 00:45:14,799 Speaker 3: A lot of bands have worked out that they could 786 00:45:14,880 --> 00:45:17,200 Speaker 3: charge two to three times the normal ticket price for 787 00:45:17,239 --> 00:45:19,520 Speaker 3: the gigs down here. I'm sure the same would apply 788 00:45:19,600 --> 00:45:22,799 Speaker 3: to mediocre podcasters like yourselves, which we go a long 789 00:45:22,880 --> 00:45:23,759 Speaker 3: way and paying. 790 00:45:23,480 --> 00:45:24,040 Speaker 4: For your trip. 791 00:45:24,160 --> 00:45:26,360 Speaker 3: I love this kat Yeah, happy to show you around 792 00:45:26,440 --> 00:45:29,799 Speaker 3: and take you over to Rottenest on my boat to 793 00:45:29,840 --> 00:45:32,680 Speaker 3: see the infamous quacas when you come, just freaking come. 794 00:45:32,920 --> 00:45:35,520 Speaker 3: Don't be jerks, yours truly your biggest fan who is 795 00:45:35,600 --> 00:45:37,400 Speaker 3: mostly fullish nobbyhood. 796 00:45:37,520 --> 00:45:40,160 Speaker 4: Everybody's got a boat do. When I first scan that email, 797 00:45:40,239 --> 00:45:42,560 Speaker 4: I was like this all you know and I just 798 00:45:42,600 --> 00:45:46,560 Speaker 4: I loved I loved feeling completely having As they say 799 00:45:46,600 --> 00:45:49,560 Speaker 4: in the UK, the piss taken out of me because 800 00:45:49,560 --> 00:45:54,720 Speaker 4: it really just made my day. What a cool. 801 00:45:54,560 --> 00:45:59,280 Speaker 2: Email Sentenix Brachiurus. That's a quaka. 802 00:45:59,440 --> 00:46:00,520 Speaker 3: Yeah nice. 803 00:46:00,600 --> 00:46:00,799 Speaker 5: Yeah. 804 00:46:00,880 --> 00:46:03,960 Speaker 3: Quacas are some of the most famous animals on the 805 00:46:04,000 --> 00:46:07,040 Speaker 3: internet because they always look like they're in a very wholesome, 806 00:46:07,080 --> 00:46:07,600 Speaker 3: good mood. 807 00:46:08,520 --> 00:46:11,160 Speaker 4: They have fire bars, waka quacka flame. 808 00:46:11,880 --> 00:46:15,160 Speaker 3: Yes, yes, just so, probably the most famous quaka in 809 00:46:15,200 --> 00:46:18,239 Speaker 3: the US. Okay, I wanted to share that part just 810 00:46:18,320 --> 00:46:22,319 Speaker 3: because you know, we talk about some really some very 811 00:46:22,320 --> 00:46:26,000 Speaker 3: important and often very dark, disturbing things. But we're all 812 00:46:26,080 --> 00:46:29,239 Speaker 3: in this together, at least in my opinion, and we 813 00:46:29,360 --> 00:46:32,479 Speaker 3: like it when people take the time and write, write 814 00:46:32,520 --> 00:46:35,840 Speaker 3: to us like friends and tell us all this stuff. Now, 815 00:46:36,040 --> 00:46:39,000 Speaker 3: we may have gotten Nobbyhood in trouble there in Western 816 00:46:39,000 --> 00:46:43,120 Speaker 3: Australia because he just accused everybody there being rich. So 817 00:46:43,560 --> 00:46:48,920 Speaker 3: fellow Australians, please, you know what, let's fire back at Nabi. Okay, 818 00:46:49,480 --> 00:46:52,239 Speaker 3: we need your help, good people of oz. Let us 819 00:46:52,280 --> 00:46:55,719 Speaker 3: know the stereotypes about people from Perth, you know, let 820 00:46:55,840 --> 00:46:57,759 Speaker 3: us know. Let us know the trash you guys talk 821 00:46:58,040 --> 00:47:02,400 Speaker 3: about Western Australia and if you're from Western Australia, let 822 00:47:02,520 --> 00:47:04,759 Speaker 3: us know parts of uh, let let us know the 823 00:47:04,800 --> 00:47:09,440 Speaker 3: trash talk for other places like Melbourne, that's the one that's. 824 00:47:11,800 --> 00:47:18,239 Speaker 4: Yeah, hold on, wait a second, sees Louise Adelaide. Yeah, yeah, 825 00:47:18,280 --> 00:47:22,280 Speaker 4: that's one that's for sure. One Toronto. 826 00:47:20,880 --> 00:47:23,680 Speaker 2: Now I just want to go to Perth. 827 00:47:24,360 --> 00:47:26,520 Speaker 4: Perth seems like the spot. I mean, obviously, I think 828 00:47:26,520 --> 00:47:31,279 Speaker 4: we're all big fans of uh Australia yeah, oh god yeah, 829 00:47:31,280 --> 00:47:34,440 Speaker 4: but also just in general, like Australian exports. You know, 830 00:47:34,480 --> 00:47:37,600 Speaker 4: there's so many great bands. The culture there just seems fabulous. 831 00:47:38,360 --> 00:47:40,240 Speaker 4: A really good friend that I've made through the podcast, 832 00:47:40,239 --> 00:47:43,120 Speaker 4: who kind of lives out in the deep bush just 833 00:47:43,239 --> 00:47:46,480 Speaker 4: absolutely you know, her nature photography is like creatures from 834 00:47:46,480 --> 00:47:49,960 Speaker 4: another planet. It's absolutely stunning, Uh, to the point where 835 00:47:49,960 --> 00:47:54,120 Speaker 4: I might brave the creepy lizards and birds of it 836 00:47:54,200 --> 00:47:56,600 Speaker 4: all to like go and stay with them for a 837 00:47:56,680 --> 00:48:00,960 Speaker 4: week in the wilderness, maybe merge a different person. 838 00:48:01,360 --> 00:48:06,040 Speaker 3: So let us know about Australia, folks. And you know what, honestly, 839 00:48:06,080 --> 00:48:09,600 Speaker 3: we have never visited this land, but we are persuaded 840 00:48:09,719 --> 00:48:12,760 Speaker 3: it's a real place and we would love to learn 841 00:48:13,080 --> 00:48:18,680 Speaker 3: more about it and hopefully dreaming big here, actively hallucinating 842 00:48:18,719 --> 00:48:21,879 Speaker 3: towards success, we will be able to get down there 843 00:48:21,920 --> 00:48:25,520 Speaker 3: one day and visit everyone in person. In the meantime, 844 00:48:25,880 --> 00:48:29,640 Speaker 3: tell us all about it. Tell us Australian conspiracies loved 845 00:48:29,760 --> 00:48:32,520 Speaker 3: learning about Pine and Gap. And you don't have to 846 00:48:32,520 --> 00:48:36,120 Speaker 3: be Australian to write to us. Common misconception. You can 847 00:48:36,160 --> 00:48:39,480 Speaker 3: contact us anywhere in the world. Now we're going to 848 00:48:39,520 --> 00:48:41,719 Speaker 3: give you a bunch of different ways to contact us. 849 00:48:42,280 --> 00:48:45,839 Speaker 3: Just remember we always read every email we get and 850 00:48:45,960 --> 00:48:48,720 Speaker 3: we're just grateful that you're here. If you're on the Internet, 851 00:48:48,880 --> 00:48:49,879 Speaker 3: we hang out there too. 852 00:48:50,040 --> 00:48:51,960 Speaker 4: Yeah, we're there right now. You can find this at 853 00:48:51,960 --> 00:48:56,000 Speaker 4: the handle Conspiracy Stuff where we exist on Facebook, where 854 00:48:56,000 --> 00:48:58,520 Speaker 4: we have a really cool Facebook group called Here's where 855 00:48:58,560 --> 00:49:02,120 Speaker 4: it Gets Crazy. So on YouTube we've got new content 856 00:49:02,200 --> 00:49:05,719 Speaker 4: going up all the time, and on Twitter. You can 857 00:49:05,760 --> 00:49:08,160 Speaker 4: also find this on TikTok and Instagram at the handle 858 00:49:08,200 --> 00:49:09,440 Speaker 4: Conspiracy Stuff Show. 859 00:49:09,800 --> 00:49:15,360 Speaker 2: Do give us a call one eight three three STDWYTK. 860 00:49:15,840 --> 00:49:19,719 Speaker 2: It's a voicemail system. The voicemails can last a maximum 861 00:49:19,719 --> 00:49:23,040 Speaker 2: of three minutes. Do use your time wisely, give us 862 00:49:23,040 --> 00:49:25,560 Speaker 2: a cool nickname, whatever you want it to be, and 863 00:49:25,640 --> 00:49:27,239 Speaker 2: let us know if we can use your voice and 864 00:49:27,280 --> 00:49:29,759 Speaker 2: message on the air. You can still call if you 865 00:49:29,760 --> 00:49:31,399 Speaker 2: don't want it to be on the air, just let 866 00:49:31,480 --> 00:49:34,000 Speaker 2: us know. That's fine. If you don't want to do that, 867 00:49:34,080 --> 00:49:36,680 Speaker 2: why not instead send us an email. We read every 868 00:49:36,800 --> 00:49:37,919 Speaker 2: single one we get. 869 00:49:38,160 --> 00:50:17,920 Speaker 3: We are conspiracy at iHeartRadio dot com. 870 00:50:00,000 --> 00:50:01,760 Speaker 2: If they don't want you to know. Is a production 871 00:50:01,880 --> 00:50:06,399 Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app, 872 00:50:06,480 --> 00:50:09,360 Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows.