1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,079 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,240 --> 00:00:25,680 Speaker 1: production of iHeartRadio. Hello, welcome back to the show. My 5 00:00:25,760 --> 00:00:28,960 Speaker 1: name is Matt, my name is Noel. They called me Ben. 6 00:00:29,000 --> 00:00:32,440 Speaker 1: We're joined as always with our super producer Alexis codenamed 7 00:00:32,479 --> 00:00:36,520 Speaker 1: Doc Holiday Jackson. Most importantly, you are you. You are here, 8 00:00:36,720 --> 00:00:39,559 Speaker 1: and that makes this the stuff they don't want you 9 00:00:39,720 --> 00:00:43,600 Speaker 1: to know. It's the top of the week. We are 10 00:00:43,720 --> 00:00:48,440 Speaker 1: heading into the end of February the beginning of March 11 00:00:48,800 --> 00:00:52,879 Speaker 1: twenty twenty three. There are so many things happening in 12 00:00:52,920 --> 00:00:58,080 Speaker 1: the world. We talked a little bit about the continuing 13 00:00:58,120 --> 00:01:02,160 Speaker 1: debacle in Ohio, Never Fear. We have an episode on 14 00:01:02,200 --> 00:01:07,559 Speaker 1: that coming, and we've also talked extensively with ourselves about 15 00:01:07,600 --> 00:01:11,120 Speaker 1: Cops City here in the metropolis of Atlanta, Georgia. We'll 16 00:01:11,120 --> 00:01:14,240 Speaker 1: have more on that. The reason we started doing Strange 17 00:01:14,319 --> 00:01:16,880 Speaker 1: News is because there's a lot of stuff that doesn't 18 00:01:16,920 --> 00:01:19,959 Speaker 1: make it through the news cycle or gets lost, you know, 19 00:01:20,080 --> 00:01:23,720 Speaker 1: in the constant chatter of modern society. You may not 20 00:01:23,880 --> 00:01:28,880 Speaker 1: know that Australia has discovered a hive of spies. You 21 00:01:28,920 --> 00:01:31,760 Speaker 1: may not know about the rise of the super pig. 22 00:01:31,840 --> 00:01:35,360 Speaker 1: We didn't know about all these things. And you know, 23 00:01:35,480 --> 00:01:39,839 Speaker 1: you may have, like many of us, forgotten that there 24 00:01:40,000 --> 00:01:46,600 Speaker 1: is still litigation going on surrounding election conspiracies. And that's 25 00:01:46,640 --> 00:01:48,800 Speaker 1: something that's kind of fallen out of the news and 26 00:01:48,840 --> 00:01:51,800 Speaker 1: it really shouldn't. Yeah, and it's interesting that we're talking 27 00:01:51,840 --> 00:01:55,080 Speaker 1: about the news because that is exactly what this pertains 28 00:01:55,120 --> 00:01:59,240 Speaker 1: to than that news cycle and the way, in many 29 00:01:59,360 --> 00:02:04,520 Speaker 1: cases it is designed to just you know, attract eyeballs 30 00:02:04,720 --> 00:02:08,239 Speaker 1: and demographics, and you know, the idea of what gets 31 00:02:08,320 --> 00:02:12,720 Speaker 1: chosen selectively, very selectively to be covered is part of 32 00:02:12,720 --> 00:02:17,320 Speaker 1: a much larger calculation that of course pertains to ratings 33 00:02:17,360 --> 00:02:21,240 Speaker 1: and ultimately advertising dollars and you know, market share and 34 00:02:21,320 --> 00:02:25,520 Speaker 1: things like that. So with any news outlet, you have 35 00:02:25,560 --> 00:02:28,160 Speaker 1: to take that into consideration. Why are they showing me 36 00:02:28,280 --> 00:02:31,280 Speaker 1: this now? What are they trying to distract me from? 37 00:02:31,600 --> 00:02:34,080 Speaker 1: Why do they want me to be thinking about this now? 38 00:02:34,200 --> 00:02:37,280 Speaker 1: Who am I as pertains to? That demographic? And today 39 00:02:37,320 --> 00:02:40,640 Speaker 1: we're specifically talking about Fox News, which is obviously a 40 00:02:40,720 --> 00:02:45,639 Speaker 1: very divisive network. It is the most successful news network 41 00:02:46,320 --> 00:02:51,280 Speaker 1: typically you know, absolutely creaming CNN in the ratings. And 42 00:02:51,320 --> 00:02:54,079 Speaker 1: this is something that the folks in charge at Fox 43 00:02:54,160 --> 00:02:58,240 Speaker 1: News take very seriously. They want to remain you know, 44 00:02:58,639 --> 00:03:00,480 Speaker 1: on the top of the heap as far as ratings 45 00:03:00,600 --> 00:03:02,520 Speaker 1: or concerns so that they can, you know, things like 46 00:03:02,600 --> 00:03:06,760 Speaker 1: that affect stock prices, things like that effect advertising dollars 47 00:03:06,760 --> 00:03:11,000 Speaker 1: coming in the amount that they can charge per advertisement 48 00:03:11,160 --> 00:03:15,800 Speaker 1: campaign or whatever. There's different metrics for television and radio 49 00:03:15,960 --> 00:03:18,679 Speaker 1: and all all that stuff, but it's usually there's you 50 00:03:19,000 --> 00:03:23,600 Speaker 1: command kind of a premium price depending on your ratings, 51 00:03:23,800 --> 00:03:25,959 Speaker 1: and that is a thing that can fall and lead 52 00:03:26,000 --> 00:03:30,880 Speaker 1: to lower income for your company. Fox News, you may 53 00:03:30,919 --> 00:03:37,920 Speaker 1: recall reported pretty extensively on this idea that the dominion 54 00:03:38,240 --> 00:03:42,920 Speaker 1: voting machines that were being used during the last presidential 55 00:03:42,960 --> 00:03:47,240 Speaker 1: election were in some way compromised. Do you guys remember 56 00:03:47,280 --> 00:03:49,360 Speaker 1: that there was all kinds of things being thrown around. 57 00:03:49,400 --> 00:03:52,720 Speaker 1: It was like they're owned by what was it Guatemala 58 00:03:53,000 --> 00:03:56,480 Speaker 1: or some some other some country that was suspect. I 59 00:03:56,560 --> 00:04:02,240 Speaker 1: fully remember just the concept of connecting dominion voting machines 60 00:04:02,240 --> 00:04:06,080 Speaker 1: with being hackable, like easily hackable and could be manipulated. 61 00:04:06,520 --> 00:04:10,160 Speaker 1: And I remember this because we were here where we vote, 62 00:04:10,160 --> 00:04:14,400 Speaker 1: where I vote. Those machines were in use and it 63 00:04:14,520 --> 00:04:19,320 Speaker 1: was freaking me out. Yeah, dominion voting systems has been 64 00:04:19,600 --> 00:04:22,600 Speaker 1: um I don't know, it's like because it is international, 65 00:04:22,640 --> 00:04:25,320 Speaker 1: it's not all in house. They have software offices in 66 00:04:25,440 --> 00:04:29,920 Speaker 1: Canada and Serbia, weirdly enough, as well as the United States, 67 00:04:29,920 --> 00:04:34,560 Speaker 1: so they were they were quite controversial, and everything about 68 00:04:34,600 --> 00:04:38,640 Speaker 1: the process of the US election is controversial, and frankly, 69 00:04:38,680 --> 00:04:41,720 Speaker 1: it's often confusing to people from other countries, Like why 70 00:04:41,800 --> 00:04:44,280 Speaker 1: isn't of voting a holiday? You know what I mean? 71 00:04:44,760 --> 00:04:47,680 Speaker 1: The same reason, Like the tax system is ridiculous. Let me, 72 00:04:47,720 --> 00:04:49,520 Speaker 1: I'm not going to get all the way on the soapbox. 73 00:04:49,680 --> 00:04:51,760 Speaker 1: But the IRS is like, hey, we know how much 74 00:04:51,800 --> 00:04:54,599 Speaker 1: money you owe? Are you going to tell me? No, 75 00:04:54,760 --> 00:04:57,680 Speaker 1: you guess and you're we'll tell you if you don't 76 00:04:57,720 --> 00:04:59,279 Speaker 1: pay it right, and then we'll come from you and 77 00:04:59,279 --> 00:05:01,960 Speaker 1: then we'll charge you a big because the IRS is 78 00:05:02,040 --> 00:05:06,159 Speaker 1: essentially a you know, a mafioso type organization come and 79 00:05:06,160 --> 00:05:10,080 Speaker 1: to take their collections. I mean, what weird toxic relationship 80 00:05:10,320 --> 00:05:12,680 Speaker 1: is that, Like, hey, IRS, are you mad at me? 81 00:05:12,960 --> 00:05:16,360 Speaker 1: I don't know, should I be ben? Exactly? What something 82 00:05:16,360 --> 00:05:20,320 Speaker 1: wrong anyway, a shame if something happened to your livelihood 83 00:05:20,880 --> 00:05:23,400 Speaker 1: and then knocks the vase off the table. But you're right, 84 00:05:23,440 --> 00:05:27,440 Speaker 1: it's Canada. That's where they were founded, right, Dominion, Well, yeah, 85 00:05:27,440 --> 00:05:30,719 Speaker 1: they are founded in Canada. But there were reports that 86 00:05:30,839 --> 00:05:36,599 Speaker 1: were later disproven that the Dominion Voting System organization was 87 00:05:36,640 --> 00:05:42,359 Speaker 1: tied to Venezuela, specifically to Venezuelan President Hugo Chavez, to 88 00:05:42,520 --> 00:05:46,760 Speaker 1: George Soros, to the Clinton Foundation, all kind of red 89 00:05:46,839 --> 00:05:52,240 Speaker 1: meat for right wing controversies, the idea that these entities 90 00:05:52,279 --> 00:05:55,960 Speaker 1: are in some way steering the course of human events, 91 00:05:56,120 --> 00:05:59,760 Speaker 1: let's just say. And Fox News repeated a lot of 92 00:05:59,760 --> 00:06:02,760 Speaker 1: these claims that were being made by the Trump campaign 93 00:06:02,800 --> 00:06:07,000 Speaker 1: and other kind of far right pundits and types, you know, 94 00:06:07,120 --> 00:06:09,680 Speaker 1: like the the Alex Joneses of the world and all 95 00:06:09,680 --> 00:06:14,440 Speaker 1: of that. Well, the chickens have most assuredly come home 96 00:06:14,480 --> 00:06:19,040 Speaker 1: to roost in a one point six billion dollar defamation 97 00:06:19,160 --> 00:06:22,600 Speaker 1: suit that was filed last week by Dominion Voting Systems 98 00:06:22,720 --> 00:06:29,960 Speaker 1: against Fox News for spreading what they must believe are 99 00:06:30,080 --> 00:06:34,520 Speaker 1: probably false bits of information. And the reason that I 100 00:06:34,560 --> 00:06:37,200 Speaker 1: say they must be pretty confident in that is because 101 00:06:37,279 --> 00:06:40,680 Speaker 1: defamation is one of the hardest things to prove. I'm 102 00:06:40,720 --> 00:06:43,800 Speaker 1: not a legal scholar by any stretch of the imagination. 103 00:06:43,839 --> 00:06:47,200 Speaker 1: I did take kind of media law and ethics in 104 00:06:47,360 --> 00:06:50,080 Speaker 1: college when I was studying communications, and I do remember 105 00:06:50,120 --> 00:06:52,960 Speaker 1: that was one thing that the professor really hit home 106 00:06:53,040 --> 00:06:56,960 Speaker 1: that defamation, the burden of proof is very much on 107 00:06:57,080 --> 00:07:00,159 Speaker 1: the plaintiff. Yeah, and it's something you have to have 108 00:07:00,200 --> 00:07:03,640 Speaker 1: to approve actual malice. You have to approve that not 109 00:07:03,720 --> 00:07:07,560 Speaker 1: only did an organization or you know, the the defendant 110 00:07:08,000 --> 00:07:11,320 Speaker 1: say something that was defamatory, you have to prove that 111 00:07:11,320 --> 00:07:15,280 Speaker 1: they knew what they were saying was false when they 112 00:07:15,320 --> 00:07:20,160 Speaker 1: said it, and that they were essentially being completely negligent 113 00:07:20,360 --> 00:07:23,920 Speaker 1: and spreading false information. And you'd think that would be 114 00:07:23,960 --> 00:07:27,720 Speaker 1: hard hard to prove in this case because a lot 115 00:07:27,760 --> 00:07:30,960 Speaker 1: of the the I believe one of the first sort 116 00:07:31,000 --> 00:07:34,720 Speaker 1: of segments that took place with this was Fox News 117 00:07:34,840 --> 00:07:38,840 Speaker 1: having some representative of the Trump organization or you know, 118 00:07:38,880 --> 00:07:43,840 Speaker 1: political organization on with the question leading question admittedly being 119 00:07:43,880 --> 00:07:46,160 Speaker 1: something to the effect of, so you say there are 120 00:07:46,160 --> 00:07:49,120 Speaker 1: some voter or irregularities, tell us about that, you know, 121 00:07:49,760 --> 00:07:52,360 Speaker 1: and that opens the door for that person to to 122 00:07:52,440 --> 00:07:54,960 Speaker 1: spread you know, whatever and whatever whatever they believe to 123 00:07:55,040 --> 00:07:57,800 Speaker 1: be the truth. It was actually Trump lawyer Sidney Powell. 124 00:07:58,760 --> 00:08:01,880 Speaker 1: But now as part of this suit, a lot of 125 00:08:01,920 --> 00:08:04,840 Speaker 1: information has become part of the public record, and that 126 00:08:04,920 --> 00:08:09,880 Speaker 1: information shows people like Sean Hannity saying things to colleagues 127 00:08:10,960 --> 00:08:15,800 Speaker 1: in other higher ups, even I believe Murdoch Rupert Murdoch 128 00:08:15,920 --> 00:08:20,680 Speaker 1: himself saying, hey, this stuff is bogus. We know this 129 00:08:20,720 --> 00:08:24,360 Speaker 1: stuff isn't true. We can't believe people believe it. But 130 00:08:24,400 --> 00:08:27,480 Speaker 1: if we don't push this narrative out there, we're gonna 131 00:08:27,520 --> 00:08:30,320 Speaker 1: get our butts handed to us by you know, right 132 00:08:30,360 --> 00:08:34,360 Speaker 1: wing news alternatives like Newsmax. Yeah, he called I think 133 00:08:34,440 --> 00:08:38,360 Speaker 1: he specifically called it in this uh this wonderful Columbia 134 00:08:38,440 --> 00:08:41,760 Speaker 1: Journalism Review art of very good article. He called it. 135 00:08:41,960 --> 00:08:44,840 Speaker 1: H called it really crazy stuff. But you know, with 136 00:08:44,880 --> 00:08:48,560 Speaker 1: an Australian accent, right, And I believe it was Hannity 137 00:08:48,600 --> 00:08:52,280 Speaker 1: who was saying this is obviously BS. And I can't 138 00:08:52,280 --> 00:08:55,880 Speaker 1: believe our our viewers are good people. I can't believe 139 00:08:55,920 --> 00:08:59,480 Speaker 1: they believe this. And then ultimately it led to them 140 00:08:59,559 --> 00:09:01,439 Speaker 1: just push more of this stuff out and they did 141 00:09:01,440 --> 00:09:04,800 Speaker 1: it for months. And I bet you in the case 142 00:09:05,280 --> 00:09:08,080 Speaker 1: it will come down to the minutia of the way 143 00:09:08,120 --> 00:09:10,920 Speaker 1: they reported it, you know what I mean, because you 144 00:09:10,960 --> 00:09:13,040 Speaker 1: can kind of give yourself an out if you're just 145 00:09:13,400 --> 00:09:19,000 Speaker 1: giving voice to others, Right, you're quoting, That's right, you're quoting. 146 00:09:19,640 --> 00:09:22,319 Speaker 1: But there's also acknowledgments in a lot of these communications 147 00:09:22,360 --> 00:09:25,880 Speaker 1: that include emails and texts and you know, all kinds 148 00:09:25,880 --> 00:09:29,520 Speaker 1: of internal comms, uh, saying that they were basically cherry 149 00:09:29,520 --> 00:09:34,360 Speaker 1: picking quotes, leaving out the relevant kind of actual facts stuff, 150 00:09:34,400 --> 00:09:37,920 Speaker 1: and just broadcasting the stuff that was more inflammatory. And 151 00:09:38,280 --> 00:09:41,319 Speaker 1: you know, with just a cursory glance of a lot 152 00:09:41,360 --> 00:09:44,120 Speaker 1: of this stuff, it seems very clear if they were 153 00:09:44,160 --> 00:09:49,560 Speaker 1: doing that with the express purpose of pandering to that audience. Yeah, 154 00:09:49,600 --> 00:09:53,120 Speaker 1: it's it's tough too, because you know, you're looking for 155 00:09:53,559 --> 00:09:56,720 Speaker 1: just like the libel, right, you're looking for this kind 156 00:09:56,760 --> 00:10:00,719 Speaker 1: of intention. You have to prove intent. This would be 157 00:10:00,760 --> 00:10:04,439 Speaker 1: a malicious intent. And one thing that really stood out 158 00:10:04,480 --> 00:10:08,600 Speaker 1: to me in some of this reporting is that access 159 00:10:08,679 --> 00:10:12,920 Speaker 1: to internal communication, like you mentioned, thole shows a lot 160 00:10:12,960 --> 00:10:17,800 Speaker 1: of the same phrasing being used, which is not I mean, 161 00:10:17,800 --> 00:10:22,480 Speaker 1: its circumstances like that's crazy or things like threading the 162 00:10:22,520 --> 00:10:25,680 Speaker 1: needle right, right, Well, that's that's more corporate speak for 163 00:10:25,840 --> 00:10:28,480 Speaker 1: how do we you know, how do we hijack this 164 00:10:28,600 --> 00:10:31,640 Speaker 1: narrative to our benefit? Basically threading again, also, how do 165 00:10:31,640 --> 00:10:34,080 Speaker 1: we not piss off our viewers? That's what threading the 166 00:10:34,120 --> 00:10:36,960 Speaker 1: needle means. It means treading lightly. Right, Does that mean 167 00:10:37,000 --> 00:10:40,560 Speaker 1: they're coordinating? You know, like that's something that would be 168 00:10:40,679 --> 00:10:46,440 Speaker 1: they would question, right, like, how how much of this was? Hey, 169 00:10:46,559 --> 00:10:50,439 Speaker 1: we know this story is bs. Let's all work together 170 00:10:51,320 --> 00:10:56,360 Speaker 1: to make dominion voting systems look bad. And I don't 171 00:10:56,360 --> 00:11:01,120 Speaker 1: think we're necessarily saying dominion voting systems are them sacro saint. 172 00:11:01,280 --> 00:11:05,000 Speaker 1: It's just, of course not. I mean defamation though you 173 00:11:05,120 --> 00:11:07,280 Speaker 1: nailed it, man, Like, is it going to be possible 174 00:11:07,280 --> 00:11:10,800 Speaker 1: to prove that there was Defamation's kind of a conspiracy 175 00:11:10,880 --> 00:11:13,480 Speaker 1: at this point, that's right. But the point is in 176 00:11:13,600 --> 00:11:15,520 Speaker 1: the point of a lot of these great reporters, like 177 00:11:15,559 --> 00:11:19,640 Speaker 1: in the La Times piece a column by Harry Littman, 178 00:11:20,080 --> 00:11:22,200 Speaker 1: you don't you don't go out on a limb with 179 00:11:22,240 --> 00:11:24,120 Speaker 1: a case like this if you don't feel like it's 180 00:11:24,120 --> 00:11:27,640 Speaker 1: pretty strong, right, you just wouldn't do it. You know, 181 00:11:27,679 --> 00:11:30,400 Speaker 1: you would have enough smart people smarter than us in 182 00:11:30,440 --> 00:11:34,960 Speaker 1: these matters advising, you know, unfortunately, Yeah, it's probably true, 183 00:11:35,400 --> 00:11:39,000 Speaker 1: but the burden is so tough for you to prove 184 00:11:39,080 --> 00:11:42,960 Speaker 1: that that they had actual malice. It's not worth exorbitant 185 00:11:43,000 --> 00:11:46,760 Speaker 1: court costs. And I mean, I'm sure Dominion Voting Systems 186 00:11:46,840 --> 00:11:49,760 Speaker 1: is a large corporate company with with lots of assets, 187 00:11:50,360 --> 00:11:53,360 Speaker 1: but probably not to the degree of Fox News. Wouldn't 188 00:11:53,400 --> 00:11:56,040 Speaker 1: you say, I don't know what they're like org chart is. 189 00:11:56,080 --> 00:11:58,559 Speaker 1: It could well be there part of some giants and 190 00:11:58,640 --> 00:12:01,480 Speaker 1: it's not even necessarily say, or a giant corporate structure, 191 00:12:01,520 --> 00:12:04,520 Speaker 1: and they have unlimited, you know, deep pockets for things 192 00:12:04,520 --> 00:12:07,160 Speaker 1: like this. But Fox News has the deepest of pockets 193 00:12:07,160 --> 00:12:08,760 Speaker 1: when it comes to stuff like this, and they will 194 00:12:08,840 --> 00:12:13,040 Speaker 1: defend themselves to the teeth with with all their you know, 195 00:12:13,120 --> 00:12:17,240 Speaker 1: cavalcade of lawyers and legal resources. I mean, it's it's 196 00:12:17,280 --> 00:12:19,920 Speaker 1: deep water already, right. Would you say one point six 197 00:12:20,040 --> 00:12:24,920 Speaker 1: billion dollar billion? So so you know, even with those 198 00:12:24,960 --> 00:12:28,320 Speaker 1: deep pockets that Fox has, that would be a serious blow, 199 00:12:28,400 --> 00:12:30,319 Speaker 1: wouldn't you say? I mean they did. I think they 200 00:12:30,400 --> 00:12:35,319 Speaker 1: posted profits of upwards of two billion last fiscal years, 201 00:12:35,360 --> 00:12:38,560 Speaker 1: So it wouldn't like tank them necessarily. Surely they have 202 00:12:39,280 --> 00:12:42,320 Speaker 1: plenty in reserves and operating budget and all of that. 203 00:12:42,400 --> 00:12:45,240 Speaker 1: I mean that's just on top of all operating costs. 204 00:12:45,280 --> 00:12:48,160 Speaker 1: So it would it would basically wipe out their profits 205 00:12:48,240 --> 00:12:51,640 Speaker 1: for that whole year if if they lost, not to 206 00:12:51,679 --> 00:12:53,400 Speaker 1: mention all of the court costs that they would be 207 00:12:53,440 --> 00:12:56,280 Speaker 1: on the hook for as well. Um, Matt, what do 208 00:12:56,320 --> 00:12:59,640 Speaker 1: you think, man? This is like let's say this does 209 00:12:59,760 --> 00:13:02,440 Speaker 1: go through their guilty, they get in trouble, they get 210 00:13:02,440 --> 00:13:05,280 Speaker 1: fined all that money. Do you think it actually changes 211 00:13:05,320 --> 00:13:07,680 Speaker 1: their viewership at all? Well, that's the thing a lot 212 00:13:07,720 --> 00:13:11,240 Speaker 1: of folks are saying. It could potentially have impact on 213 00:13:11,400 --> 00:13:16,120 Speaker 1: that and on their relevance and on their credibility. And 214 00:13:16,400 --> 00:13:19,839 Speaker 1: I'm doing quotation fingers for credibility because a lot of 215 00:13:19,880 --> 00:13:22,840 Speaker 1: their credibility isn't the kind of credibility you would usually 216 00:13:22,840 --> 00:13:26,520 Speaker 1: ascribe to like a news organization. It's credibility with their viewers. 217 00:13:26,800 --> 00:13:30,480 Speaker 1: And we know that organizations like Fox and Newsmax, they're 218 00:13:30,559 --> 00:13:33,000 Speaker 1: very divisive in the way they report things, in the 219 00:13:33,000 --> 00:13:36,920 Speaker 1: way the rhetoric that they give voice to. So you 220 00:13:36,960 --> 00:13:40,120 Speaker 1: could argue from one side they have no credibility already, 221 00:13:40,280 --> 00:13:43,760 Speaker 1: but that credibility with their viewers is money in the 222 00:13:43,840 --> 00:13:47,120 Speaker 1: bank for them. And if this is this is literally 223 00:13:47,360 --> 00:13:53,559 Speaker 1: them talking like liberal elitist right off the record, you know, 224 00:13:53,840 --> 00:13:56,120 Speaker 1: so they say, oh, our our viewers are so dumb 225 00:13:56,160 --> 00:13:59,240 Speaker 1: they believe this stuff. You know, we know it to 226 00:13:59,320 --> 00:14:01,120 Speaker 1: be not true because it got a lot of these 227 00:14:01,120 --> 00:14:04,200 Speaker 1: people like Tucker Carlson we know are from the the 228 00:14:04,320 --> 00:14:06,720 Speaker 1: elitist of the elite, I mean, the heir to the 229 00:14:06,960 --> 00:14:10,920 Speaker 1: Swanson you know, the frozen Foods company and these We 230 00:14:11,000 --> 00:14:13,600 Speaker 1: think he'd be much more whimsical. I sink I have 231 00:14:13,679 --> 00:14:18,199 Speaker 1: some weird prejudices about frozen food airs. Yeah, like they'd 232 00:14:18,240 --> 00:14:20,960 Speaker 1: be like Santa Claus type figures like Wonka is I 233 00:14:21,000 --> 00:14:23,240 Speaker 1: don't know I got you? But do you see what 234 00:14:23,280 --> 00:14:27,680 Speaker 1: I mean? Though? That stakes and could torpedo that credibility 235 00:14:27,720 --> 00:14:30,200 Speaker 1: with their viewers because all of a sudden, now they're 236 00:14:30,240 --> 00:14:33,840 Speaker 1: seeing these these internal communications where they're kind of being 237 00:14:33,880 --> 00:14:38,000 Speaker 1: talked down to and realize that they're being lied to purposefully. 238 00:14:38,240 --> 00:14:41,400 Speaker 1: And it's not like televangelist where you can come on 239 00:14:41,560 --> 00:14:44,600 Speaker 1: and have a performative like get right with God, change 240 00:14:44,600 --> 00:14:47,560 Speaker 1: of Heart. Yeah, but how much is Fox News going 241 00:14:47,640 --> 00:14:52,680 Speaker 1: to report on this story about itself? Right? And mostly 242 00:14:52,760 --> 00:14:55,280 Speaker 1: if you've got mostly a bubble of Fox News that 243 00:14:55,400 --> 00:14:57,720 Speaker 1: you bring in good point. They could spin it to 244 00:14:57,840 --> 00:15:01,200 Speaker 1: their benefit like that they they were being fairly maligned 245 00:15:01,200 --> 00:15:05,080 Speaker 1: and unfairly you know whatever. And we've seen that kind 246 00:15:05,160 --> 00:15:07,520 Speaker 1: of thing, maybe not to this extent, but we've seen 247 00:15:07,520 --> 00:15:10,160 Speaker 1: that kind of thing in the past. What I would 248 00:15:10,200 --> 00:15:13,440 Speaker 1: be more worried about if I'm your Rupert Murdoch or 249 00:15:13,480 --> 00:15:16,400 Speaker 1: a person who runs one of these divisions at Fox News, 250 00:15:16,720 --> 00:15:20,640 Speaker 1: it's that the advertisers notice all of this stuff, they 251 00:15:20,640 --> 00:15:23,920 Speaker 1: don't want to be associated with false reporting, and then 252 00:15:24,000 --> 00:15:26,400 Speaker 1: they pull out. And if they pull out, then your 253 00:15:26,400 --> 00:15:29,640 Speaker 1: company's done. But you could also argue, though, that a 254 00:15:29,840 --> 00:15:34,520 Speaker 1: lawsuit is a matter of public record that even if 255 00:15:34,560 --> 00:15:37,520 Speaker 1: they don't report on it, it's it's gonna be out there, 256 00:15:37,920 --> 00:15:40,560 Speaker 1: you know what I mean. And I mean even folks 257 00:15:40,600 --> 00:15:43,040 Speaker 1: that willfully maybe pull the wool over their own eyes. 258 00:15:43,360 --> 00:15:47,440 Speaker 1: It's hard to deny a one point six billion dollars 259 00:15:47,560 --> 00:15:52,640 Speaker 1: defamation suit loss from there. But again maybe not maybe 260 00:15:52,680 --> 00:15:54,440 Speaker 1: that there the rabbit hole is so deep and these 261 00:15:54,440 --> 00:15:57,600 Speaker 1: folks are so entrenched that they would just see that 262 00:15:57,680 --> 00:16:00,320 Speaker 1: as a as a sign that the man is after 263 00:16:00,440 --> 00:16:04,360 Speaker 1: they're chosen News source. Well, yeah, there's also we have 264 00:16:04,440 --> 00:16:07,200 Speaker 1: to think about it. With that excellent point you made, 265 00:16:07,240 --> 00:16:10,800 Speaker 1: met Um, Fox is not alone in its space, right, 266 00:16:10,960 --> 00:16:15,440 Speaker 1: as corporate types would call it. So the attack or 267 00:16:15,720 --> 00:16:19,240 Speaker 1: attempting to get that news to people who usually do 268 00:16:19,600 --> 00:16:24,360 Speaker 1: watch Fox would probably come from one of its rival networks, right, 269 00:16:24,440 --> 00:16:28,680 Speaker 1: That's what success of course it would, And they're already 270 00:16:28,720 --> 00:16:32,400 Speaker 1: shedding viewers who were already if not dual tuned in 271 00:16:32,720 --> 00:16:35,600 Speaker 1: to Fox and a news Max or something of that 272 00:16:35,680 --> 00:16:38,960 Speaker 1: ilk they'll see that reported and they'll be like, what up, Fox, 273 00:16:39,040 --> 00:16:41,160 Speaker 1: what's the deal with this story on my other chosen 274 00:16:41,400 --> 00:16:46,320 Speaker 1: news you know source. So, for everybody at home, Noll 275 00:16:46,400 --> 00:16:48,880 Speaker 1: just got off the phone, Tucker Carlson. I'm pretty sure 276 00:16:49,800 --> 00:16:53,560 Speaker 1: it was a Cambridge, Massachusetts number that that does sound 277 00:16:53,600 --> 00:16:55,600 Speaker 1: like the kind of place that old Tucky would have 278 00:16:55,640 --> 00:16:58,000 Speaker 1: a have a little getaway, a little bungal though. It 279 00:16:58,080 --> 00:17:01,720 Speaker 1: was probably George from Seinfeld to get in. Yeah. Yeah, 280 00:17:01,720 --> 00:17:05,200 Speaker 1: he's the worst, now, the absolute best. But this is fascinating, 281 00:17:05,240 --> 00:17:07,679 Speaker 1: And I don't even think this is even an issue 282 00:17:07,720 --> 00:17:11,600 Speaker 1: of political brinksmanship or whatever. Maybe I'm just using that term, 283 00:17:11,600 --> 00:17:13,560 Speaker 1: but this is this is like whatever side you fall on, 284 00:17:14,119 --> 00:17:17,480 Speaker 1: nobody wants to be lied to. And when you hear 285 00:17:17,520 --> 00:17:19,800 Speaker 1: that these people that are feeding you what you believe 286 00:17:20,320 --> 00:17:25,800 Speaker 1: to be the truth are knowingly feeding you lies. That's 287 00:17:25,840 --> 00:17:29,520 Speaker 1: not okay. It reminds me of Brexit, honestly, when you 288 00:17:29,560 --> 00:17:33,639 Speaker 1: see the internal communication of the of the power structures 289 00:17:33,880 --> 00:17:36,399 Speaker 1: in the United Kingdom that we're pushing to leave the 290 00:17:36,400 --> 00:17:39,440 Speaker 1: European Union. They knew it was going to be a 291 00:17:39,520 --> 00:17:41,240 Speaker 1: bleep me here, doc. They knew it was going to 292 00:17:41,280 --> 00:17:43,880 Speaker 1: be a show, which is why they started moving their 293 00:17:43,880 --> 00:17:50,600 Speaker 1: money in different places. And when you can rely to protects, Yeah, 294 00:17:50,600 --> 00:17:55,600 Speaker 1: heartbreaking interviews with just average people in the United Kingdom 295 00:17:55,800 --> 00:17:58,560 Speaker 1: who are saying, well, we got sold a pig in 296 00:17:58,640 --> 00:18:02,320 Speaker 1: a poke, for sure, and this is unfortunate, you know, 297 00:18:02,400 --> 00:18:06,800 Speaker 1: because voting is incredibly important and there are a lot 298 00:18:06,800 --> 00:18:09,480 Speaker 1: of powerful forces that don't want you to do it. 299 00:18:10,119 --> 00:18:13,600 Speaker 1: Just being honest, it's true, I have no problem with that. 300 00:18:13,880 --> 00:18:16,840 Speaker 1: I think there are probably shades within that, but I 301 00:18:16,880 --> 00:18:19,639 Speaker 1: think that's always sort of on the table, the idea 302 00:18:19,680 --> 00:18:22,840 Speaker 1: of how can we prevent folks that would oppose us 303 00:18:22,920 --> 00:18:26,040 Speaker 1: from getting to the polls or make it complicated, you know, 304 00:18:26,080 --> 00:18:27,919 Speaker 1: so that only it just it's sort of like, I 305 00:18:28,000 --> 00:18:30,200 Speaker 1: just I'm sorry, I can make everything about Disney World, 306 00:18:30,200 --> 00:18:32,280 Speaker 1: but I just got back from Disney World, and they 307 00:18:32,320 --> 00:18:35,840 Speaker 1: do a thing. We realize pretty quickly that the lines 308 00:18:36,200 --> 00:18:39,080 Speaker 1: the number for like how long the weight is, they're 309 00:18:39,119 --> 00:18:42,280 Speaker 1: inflated by about thirty to forty five minutes, And inherent 310 00:18:42,440 --> 00:18:45,840 Speaker 1: in that is to thin the herd. It is to 311 00:18:46,480 --> 00:18:51,119 Speaker 1: raise the barrier of entry to only the most serious writers. 312 00:18:51,560 --> 00:18:53,680 Speaker 1: So this is exactly what we're talking about with all 313 00:18:53,680 --> 00:18:58,040 Speaker 1: of these you know, roadblocks with voting. It's not necessarily 314 00:18:58,200 --> 00:19:01,680 Speaker 1: you couldn't say it's fully disinframed franchising, but it's making 315 00:19:01,680 --> 00:19:04,919 Speaker 1: it just inconvenient enough, and it's gonna thin them. I 316 00:19:05,000 --> 00:19:07,560 Speaker 1: didn't know that. Hey, did you get it was the 317 00:19:07,600 --> 00:19:10,640 Speaker 1: Tron Ride a thing? Is that a thing? No, there's 318 00:19:10,640 --> 00:19:14,280 Speaker 1: no Tron Ride. I wish we did Guard into the Galaxy. 319 00:19:14,359 --> 00:19:16,240 Speaker 1: We did Star Wars, we did Avatar, we did all 320 00:19:16,240 --> 00:19:19,840 Speaker 1: the like three hour weights, and they are easily two hours, 321 00:19:19,880 --> 00:19:21,800 Speaker 1: but it'll say three and a half and it is 322 00:19:21,840 --> 00:19:24,720 Speaker 1: easily forty five minutes less than that. But anyway, I 323 00:19:25,119 --> 00:19:27,080 Speaker 1: don't know that we need to go much deeper into 324 00:19:27,080 --> 00:19:29,080 Speaker 1: this because it's going to be an ongoing thing, But 325 00:19:30,240 --> 00:19:34,800 Speaker 1: I think it's absolutely fascinating to see the clearly this 326 00:19:34,840 --> 00:19:37,320 Speaker 1: company believes they have a strong case, and I wish 327 00:19:37,359 --> 00:19:38,760 Speaker 1: I could find it. It might have been in that 328 00:19:38,800 --> 00:19:42,639 Speaker 1: Columbia Journalism Review there was actually some quotes from a 329 00:19:42,920 --> 00:19:47,000 Speaker 1: from a defamation lawyer that was just commenting for the 330 00:19:47,119 --> 00:19:50,280 Speaker 1: article saying how strong the case was. Oh, I know 331 00:19:50,320 --> 00:19:53,960 Speaker 1: what it is. It's because Fox News is actually claiming 332 00:19:54,320 --> 00:19:57,720 Speaker 1: that what they're doing is as a matter of First 333 00:19:57,720 --> 00:20:00,040 Speaker 1: Amendment freedom of the press. And then it's p he 334 00:20:00,040 --> 00:20:03,360 Speaker 1: acted by New York Times versus Sullivan, which I don't 335 00:20:03,400 --> 00:20:05,399 Speaker 1: have the specifics, but it says here, okay, in this 336 00:20:05,560 --> 00:20:09,199 Speaker 1: LA Times column Sullivan, the landmark press freedom ruling is 337 00:20:09,200 --> 00:20:11,960 Speaker 1: indeed central to this case. That's why Fox is facing 338 00:20:11,960 --> 00:20:14,919 Speaker 1: a potential disastrous dree trial and the possibility of a 339 00:20:14,920 --> 00:20:21,640 Speaker 1: gargantuan liability verdict. And that is because that ruling protects 340 00:20:21,920 --> 00:20:27,520 Speaker 1: news organizations if they exhibited goodwill, if they exhibited sorry, 341 00:20:27,520 --> 00:20:31,119 Speaker 1: good faith, right, if they were making these reports in 342 00:20:31,280 --> 00:20:35,040 Speaker 1: good faith. But now we literally have these communications internally 343 00:20:35,119 --> 00:20:38,480 Speaker 1: from this company saying they were not making these reports 344 00:20:38,480 --> 00:20:42,639 Speaker 1: in good faith at all. So this precedent they're siting 345 00:20:43,119 --> 00:20:47,000 Speaker 1: doesn't really apply. Guys. Before we move on to the break, 346 00:20:47,040 --> 00:20:49,080 Speaker 1: I just want to point out if anybody was just 347 00:20:49,160 --> 00:20:53,320 Speaker 1: thinking that, oh, all the voting machines are safe and 348 00:20:53,880 --> 00:20:56,879 Speaker 1: can't be hacked, just remember there was reporting well before 349 00:20:56,960 --> 00:21:03,400 Speaker 1: this time about vulnerabilities within those older tech voting machines, 350 00:21:03,920 --> 00:21:10,880 Speaker 1: and those are very much real. It's just people, yep, yep. 351 00:21:12,320 --> 00:21:14,640 Speaker 1: There are a lot of issues still with those machines. 352 00:21:14,840 --> 00:21:18,600 Speaker 1: And just because the facts were wrong when it comes 353 00:21:18,600 --> 00:21:21,639 Speaker 1: to reporting of Fox News about this particular company, doesn't 354 00:21:21,680 --> 00:21:24,880 Speaker 1: mean that all the voting machines are safe. I mean, 355 00:21:25,080 --> 00:21:28,520 Speaker 1: no technology is completely infallible, and we know that, you 356 00:21:28,560 --> 00:21:33,160 Speaker 1: know a lot of times, putting things on a network 357 00:21:33,520 --> 00:21:36,199 Speaker 1: that can be accessed by folks that know how to 358 00:21:36,240 --> 00:21:40,879 Speaker 1: do that is always a potential gateway to problems. So 359 00:21:40,840 --> 00:21:43,919 Speaker 1: why they used to just use like punch cards, you know. 360 00:21:45,240 --> 00:21:48,200 Speaker 1: So anyway, something to keep an eye on, for sure. 361 00:21:49,200 --> 00:21:51,400 Speaker 1: Let's take a quick break, hear a word from our sponsor, 362 00:21:51,440 --> 00:21:58,800 Speaker 1: and then we'll be back with another piece of strange news. 363 00:22:00,040 --> 00:22:03,320 Speaker 1: And we're back. We're going to Australia, guys. I know 364 00:22:03,400 --> 00:22:05,399 Speaker 1: there are a lot of people hearing this right now 365 00:22:05,680 --> 00:22:09,800 Speaker 1: in Australia. Right, we know this, We've seen the metrics. Yeah. 366 00:22:10,200 --> 00:22:12,879 Speaker 1: Shout out to our Australian fans. Uh. Shout out to 367 00:22:13,080 --> 00:22:20,080 Speaker 1: some of our fellow fellow podcast folks in Australia. We're 368 00:22:20,240 --> 00:22:24,560 Speaker 1: we're fans, big fans. Still never been to Australia, want 369 00:22:24,560 --> 00:22:28,320 Speaker 1: to go. So if any anybody listening, you know, has 370 00:22:28,359 --> 00:22:31,399 Speaker 1: the hook up, send us to Australia. Let's go. I 371 00:22:31,440 --> 00:22:33,480 Speaker 1: can't go into details, but I think I have to 372 00:22:33,560 --> 00:22:36,000 Speaker 1: go actually, so I'll be careful what we say on this. 373 00:22:36,119 --> 00:22:41,960 Speaker 1: Don't go into details whatever you do. But Australia is 374 00:22:42,000 --> 00:22:45,159 Speaker 1: not a land well, I think it's more of a vibe. 375 00:22:45,200 --> 00:22:47,720 Speaker 1: It's a broad out kind of land. Well, hopefully you're 376 00:22:47,760 --> 00:22:52,920 Speaker 1: going to investigate the following ben Uh. Australia has, according 377 00:22:52,920 --> 00:22:55,600 Speaker 1: to the Guardian. I really love their phrasing. Here has 378 00:22:55,680 --> 00:22:59,879 Speaker 1: quote busted a hive of spies, which we've been operating 379 00:23:00,080 --> 00:23:05,960 Speaker 1: within the country for years. Who spy hive? How many 380 00:23:06,080 --> 00:23:08,600 Speaker 1: years are we talking? Yeah? I love that. We're talking 381 00:23:08,800 --> 00:23:12,359 Speaker 1: a long time. We can get into some of the 382 00:23:12,400 --> 00:23:15,760 Speaker 1: specifics here, but let's go through the reporting from the Guardian. 383 00:23:15,840 --> 00:23:17,600 Speaker 1: I've really liked the way, like I said, they've been 384 00:23:17,640 --> 00:23:21,919 Speaker 1: phrasing things. So let's just let's get into who this 385 00:23:22,000 --> 00:23:24,960 Speaker 1: group was targeting, why they were targeting them, and then 386 00:23:25,040 --> 00:23:28,320 Speaker 1: what we know about the group themselves. Is it one group, 387 00:23:28,520 --> 00:23:31,159 Speaker 1: is it a bunch of different spies, like, is it 388 00:23:31,200 --> 00:23:35,120 Speaker 1: truly functioning as a hive mind within this phrasing, or 389 00:23:35,200 --> 00:23:38,600 Speaker 1: are they like individual actors. So the first thing you 390 00:23:38,640 --> 00:23:40,720 Speaker 1: need to know, at least according to the reporting that 391 00:23:40,760 --> 00:23:44,880 Speaker 1: I've seen thus far, no single country has been named 392 00:23:45,280 --> 00:23:48,520 Speaker 1: as in like, these are spies from China, Definitely, these 393 00:23:48,520 --> 00:23:51,240 Speaker 1: are spies from Russia or the United States or whatever. 394 00:23:51,440 --> 00:23:54,920 Speaker 1: Probably not the US because Australia. Remember, as we're talking about, 395 00:23:54,920 --> 00:23:57,800 Speaker 1: this is a member of the old Five Eyes thing, 396 00:23:58,359 --> 00:24:02,719 Speaker 1: which is the wests like dome of protection when it 397 00:24:02,760 --> 00:24:07,120 Speaker 1: comes to spying on every it's the eye of Sauron 398 00:24:07,520 --> 00:24:14,080 Speaker 1: that exploits an incredibly dumb legal loophole to allow domestic 399 00:24:14,160 --> 00:24:18,520 Speaker 1: spying even when one of the countries doesn't allow it. 400 00:24:18,840 --> 00:24:22,440 Speaker 1: Cough cough US cough cough. But it also it also 401 00:24:22,520 --> 00:24:27,280 Speaker 1: does provide, lest we less we make it entirely a 402 00:24:27,359 --> 00:24:30,400 Speaker 1: hit piece on this, it also does provide a lot 403 00:24:30,440 --> 00:24:34,119 Speaker 1: of intelligence that can help these countries in the global sphere. 404 00:24:34,160 --> 00:24:37,040 Speaker 1: So if you're not in five eyes, no matter who 405 00:24:37,080 --> 00:24:40,200 Speaker 1: you are, you really want to know what they're talking about. 406 00:24:41,040 --> 00:24:44,920 Speaker 1: Oh yeah, well let's see what they were finding out here. 407 00:24:45,160 --> 00:24:47,760 Speaker 1: So according to Mike Burgess, I think that's how you 408 00:24:47,760 --> 00:24:51,280 Speaker 1: would say that maybe I'm wrong. This person is the 409 00:24:51,840 --> 00:24:56,440 Speaker 1: is an intelligence chief. They're in Australia, And he stated 410 00:24:56,560 --> 00:25:01,360 Speaker 1: that these people were targeting journalists, they were targeting judges 411 00:25:01,840 --> 00:25:07,439 Speaker 1: and veterans, so military veterans often. They were targeting people 412 00:25:07,560 --> 00:25:11,120 Speaker 1: who would put on their social media accounts that they 413 00:25:11,160 --> 00:25:16,560 Speaker 1: had security clearance. Not everybody who's targeted, but this was 414 00:25:16,600 --> 00:25:21,359 Speaker 1: a common thing. And just since we just talked about 415 00:25:21,400 --> 00:25:23,720 Speaker 1: this in the recent past, guys, what do you think 416 00:25:23,720 --> 00:25:26,840 Speaker 1: about that, Like the concept of touting in a way 417 00:25:26,920 --> 00:25:30,800 Speaker 1: and your outward appearance, the part you play or portray 418 00:25:30,840 --> 00:25:33,480 Speaker 1: to people on social media that hey, I have security clearance. 419 00:25:33,920 --> 00:25:37,560 Speaker 1: I think it's messy and you shouldn't do it. There's 420 00:25:37,960 --> 00:25:41,560 Speaker 1: and I'm being pretty absolutist about that, like as a flex, 421 00:25:41,680 --> 00:25:44,680 Speaker 1: like look at me, I've got security clearance. Sometimes it's 422 00:25:44,680 --> 00:25:46,880 Speaker 1: a flex, but it could also be you know, consider 423 00:25:46,960 --> 00:25:50,280 Speaker 1: the scenario where somebody is on something like LinkedIn, and 424 00:25:50,320 --> 00:25:52,840 Speaker 1: they're looking for a job and they want you to 425 00:25:52,920 --> 00:25:57,080 Speaker 1: know they have qualifications to do a specific type of 426 00:25:57,280 --> 00:26:00,520 Speaker 1: work that requires a clearance. That's less. Still, there other 427 00:26:00,600 --> 00:26:05,400 Speaker 1: avenues you don't You shouldn't be necessarily doing that in public. Now. 428 00:26:05,400 --> 00:26:09,560 Speaker 1: Of course, your mileage may vary, and maybe maybe one 429 00:26:09,560 --> 00:26:13,199 Speaker 1: of our fellow conspiracy realist will have an absolutely watertight 430 00:26:13,320 --> 00:26:16,800 Speaker 1: reason for doing that. But if you are, if you 431 00:26:16,880 --> 00:26:20,760 Speaker 1: are playing for another team, you're looking for low hanging 432 00:26:20,840 --> 00:26:24,320 Speaker 1: fruit like that, because it is a violation of OPSEC 433 00:26:24,480 --> 00:26:27,679 Speaker 1: for sure, yes, yes, And oh, by the way, the 434 00:26:27,760 --> 00:26:30,480 Speaker 1: way they would get to these people often ben is 435 00:26:30,520 --> 00:26:34,760 Speaker 1: to well, the quote here is to seduce them, but 436 00:26:35,080 --> 00:26:38,280 Speaker 1: that doesn't mean necessarily, you know, sexually seduce somebody at 437 00:26:38,280 --> 00:26:41,080 Speaker 1: a bar. It could mean that, but it could also 438 00:26:41,240 --> 00:26:45,440 Speaker 1: mean something like giving a journalist and all expense paid 439 00:26:45,480 --> 00:26:48,679 Speaker 1: trip to some other country, maybe the country of the 440 00:26:48,720 --> 00:26:52,720 Speaker 1: spies origin, and take them on tours, you know, give 441 00:26:52,760 --> 00:26:57,280 Speaker 1: them all kinds of information and be able to lobby. Well, well, 442 00:26:57,400 --> 00:27:00,760 Speaker 1: imagine putting a bug. You're put your taking this bug 443 00:27:00,800 --> 00:27:03,280 Speaker 1: that you've been watching, putting it in your jar, and 444 00:27:03,320 --> 00:27:05,080 Speaker 1: now you get to just watch what the bug does 445 00:27:05,119 --> 00:27:07,080 Speaker 1: for a little while at the hotel that you put 446 00:27:07,119 --> 00:27:10,240 Speaker 1: them in, you know what I mean, It's just, you know, 447 00:27:10,240 --> 00:27:13,639 Speaker 1: the regulations on things like that, even within our entertainment 448 00:27:13,720 --> 00:27:17,439 Speaker 1: based industry are pretty tight, like the you know, FCC 449 00:27:18,280 --> 00:27:21,760 Speaker 1: has has laws or rules internal guidelines against things called 450 00:27:21,840 --> 00:27:24,840 Speaker 1: paola where it's like pay to play kind of stuff 451 00:27:24,840 --> 00:27:28,080 Speaker 1: where you know, if you're given gifts, then that is 452 00:27:28,119 --> 00:27:30,960 Speaker 1: a conflict of interest, especially if you then turn around 453 00:27:31,000 --> 00:27:34,320 Speaker 1: and give someone airplay. So if we're beholden to things 454 00:27:34,320 --> 00:27:38,520 Speaker 1: like that in the entertainment industry, why aren't governments held 455 00:27:38,560 --> 00:27:41,919 Speaker 1: to those same kind of guidelines. Well, it's very very 456 00:27:41,960 --> 00:27:47,399 Speaker 1: bad if you get caught and now and also I think, Matt, 457 00:27:47,440 --> 00:27:50,560 Speaker 1: you hit one of the most important things right now. 458 00:27:51,160 --> 00:27:56,160 Speaker 1: No one's naming the suspected countries or country. There are 459 00:27:56,280 --> 00:27:59,639 Speaker 1: some pretty good guesses you can make if you're playing 460 00:27:59,680 --> 00:28:04,040 Speaker 1: a law at home. But one hundred percent the investigators know, 461 00:28:04,520 --> 00:28:07,160 Speaker 1: and there is a reason that they are not disclosing, 462 00:28:07,320 --> 00:28:10,800 Speaker 1: And the most likely reason is that they feel like 463 00:28:10,880 --> 00:28:12,719 Speaker 1: they can shake a few more people out of the 464 00:28:12,840 --> 00:28:15,440 Speaker 1: out of the trees on this one. Oh for sure, 465 00:28:15,720 --> 00:28:19,200 Speaker 1: for sure, because I just have to keep reading from stuff. 466 00:28:19,240 --> 00:28:21,200 Speaker 1: Mike Burgess was saying, because a lot of this comes 467 00:28:21,280 --> 00:28:25,240 Speaker 1: from kind of a speech that he gave about the 468 00:28:25,280 --> 00:28:27,720 Speaker 1: state of what was going on, almost like a state 469 00:28:27,720 --> 00:28:31,480 Speaker 1: of the Union, but for an intelligence organization in Australia. 470 00:28:31,600 --> 00:28:35,760 Speaker 1: The organization is called the Australian Security and Intelligence Organization, 471 00:28:35,960 --> 00:28:38,520 Speaker 1: also also known as ASIO. I don't think it's a 472 00:28:38,800 --> 00:28:42,480 Speaker 1: SiO the way you would say CIA for Central Intelligence Agency. 473 00:28:42,840 --> 00:28:45,240 Speaker 1: I think it's a CEO or ASIO or something like that. 474 00:28:46,760 --> 00:28:48,880 Speaker 1: I've I haven't actually heard it, I've only read it. 475 00:28:49,680 --> 00:28:51,920 Speaker 1: But because it's not all capitalized, that's why I mean. 476 00:28:51,920 --> 00:28:55,560 Speaker 1: But it's not it's not like CIA. But he is 477 00:28:55,600 --> 00:28:58,680 Speaker 1: the chief there. He was saying that there was a 478 00:28:58,720 --> 00:29:03,120 Speaker 1: concerted effort to target Australian media. So we're talking about 479 00:29:03,200 --> 00:29:06,720 Speaker 1: journalists talking about judges and all that stuff, veterans, but 480 00:29:06,960 --> 00:29:09,880 Speaker 1: really it seems like one of the main objectives was 481 00:29:09,920 --> 00:29:14,400 Speaker 1: to infiltrate media so that you could they could figure 482 00:29:14,440 --> 00:29:18,040 Speaker 1: out sources, right, So who are these journalists talking to 483 00:29:18,040 --> 00:29:22,400 Speaker 1: to get all the important information that might have security implications, 484 00:29:22,880 --> 00:29:28,240 Speaker 1: which is really creepy, and also to actually shape some 485 00:29:28,280 --> 00:29:33,760 Speaker 1: of the media being generated within Australia from within. Yeah, 486 00:29:33,880 --> 00:29:37,720 Speaker 1: parts and minds, Yeah, a little bit more complicated than 487 00:29:38,480 --> 00:29:44,240 Speaker 1: out and out buying propaganda spots. We recently talked to 488 00:29:44,440 --> 00:29:49,560 Speaker 1: our pal Jordan Harbinger, and he pointed out, I think 489 00:29:49,560 --> 00:29:52,000 Speaker 1: he's fine with us saying this. He pointed out in 490 00:29:52,040 --> 00:29:55,640 Speaker 1: our conversation with him that, oh, not too long ago, 491 00:29:55,880 --> 00:29:59,760 Speaker 1: he and several other people on YouTube had been targeted 492 00:30:00,560 --> 00:30:05,680 Speaker 1: by a foreign government to disseminate an alternative narrative about COVID. 493 00:30:05,840 --> 00:30:10,120 Speaker 1: Oh yeah, uh huh. We didn't receive those, right, I don't. 494 00:30:10,480 --> 00:30:13,480 Speaker 1: I don't personally remember ever seeing anything like that. Well, 495 00:30:13,480 --> 00:30:17,560 Speaker 1: it doesn't always happen. In defense of some of these 496 00:30:18,200 --> 00:30:21,440 Speaker 1: reporters or people working in entertainment. Very rarely is it 497 00:30:21,440 --> 00:30:23,720 Speaker 1: going to happen like in the movies, you know, like 498 00:30:23,840 --> 00:30:26,720 Speaker 1: a guy with a trill being a trench coat kind 499 00:30:26,720 --> 00:30:30,080 Speaker 1: of sitting on a bench next to you randomly and 500 00:30:30,280 --> 00:30:33,680 Speaker 1: saying weird things that are code words. It's like you're 501 00:30:33,720 --> 00:30:36,640 Speaker 1: having a great time and your buddy Gregg wants you 502 00:30:36,680 --> 00:30:42,200 Speaker 1: to do a favor. Yeah, I don't know why. I'm 503 00:30:42,200 --> 00:30:45,240 Speaker 1: maybe think of this guy's on the subredit for news 504 00:30:45,280 --> 00:30:48,680 Speaker 1: like slash r slash news. That's where I first encountered 505 00:30:48,720 --> 00:30:51,120 Speaker 1: the stories. Often where I first encountered these stories. I'm 506 00:30:51,120 --> 00:30:53,040 Speaker 1: sure you guys do that as well, at least to 507 00:30:53,080 --> 00:30:57,280 Speaker 1: some extent. There was somebody commenting on this person, Mike 508 00:30:57,560 --> 00:31:00,600 Speaker 1: Mike Burgess and how he kind of looks like Mike 509 00:31:00,680 --> 00:31:05,720 Speaker 1: erman Trout um, and he really kind of definitely a look. Yeah, 510 00:31:05,720 --> 00:31:07,760 Speaker 1: but it's like a bad to me, it's a badass look, 511 00:31:08,080 --> 00:31:12,000 Speaker 1: like he's just gonna come in there. He's not gonna think. 512 00:31:12,080 --> 00:31:15,040 Speaker 1: He's just gonna take this hive and he's gonna take 513 00:31:15,040 --> 00:31:17,040 Speaker 1: it out, you know what I mean. It's just I 514 00:31:17,160 --> 00:31:19,440 Speaker 1: really enjoyed this. I feel like that's his vibe. Yeah, 515 00:31:19,440 --> 00:31:22,560 Speaker 1: And he also looks, like I'll say it, he looks 516 00:31:22,840 --> 00:31:26,720 Speaker 1: a little bit more rugged than Erman Trout, you know 517 00:31:26,760 --> 00:31:29,440 Speaker 1: what I mean. He's wearing a suit in a lot 518 00:31:29,480 --> 00:31:33,320 Speaker 1: of media pictures that are circulating, but yeah, he looks 519 00:31:33,480 --> 00:31:35,560 Speaker 1: he looks like a Irocket if he has to, I think, 520 00:31:35,560 --> 00:31:37,360 Speaker 1: you know what I mean. I think so he's also 521 00:31:37,360 --> 00:31:39,600 Speaker 1: got one of those I I you know, I don't 522 00:31:39,800 --> 00:31:42,320 Speaker 1: like to talk about people's bodies unless I'm saying something 523 00:31:42,440 --> 00:31:46,200 Speaker 1: objective or complimentary. And I really like to your point, 524 00:31:46,200 --> 00:31:49,000 Speaker 1: Matt about his appearance. I really like how he's one 525 00:31:49,000 --> 00:31:53,920 Speaker 1: of those people who has one eyebrow that scants up naturally, 526 00:31:55,040 --> 00:31:57,720 Speaker 1: because those people always looks I always thought those people 527 00:31:57,760 --> 00:32:01,160 Speaker 1: look so cool. Oh dude, dude, agreed. I'm gonna give 528 00:32:01,160 --> 00:32:03,960 Speaker 1: you a quote that he that he said they were good, 529 00:32:04,360 --> 00:32:10,360 Speaker 1: but Azio was better working with our partners. We removed them. 530 00:32:09,400 --> 00:32:14,800 Speaker 1: They stuff. That is an army quote, right there, really 531 00:32:14,840 --> 00:32:20,120 Speaker 1: good voice, too many. Oh my god, sorry, that's kind 532 00:32:20,120 --> 00:32:23,680 Speaker 1: of so this This stuff never comes about like suddenly, 533 00:32:23,800 --> 00:32:28,360 Speaker 1: right they They usually if you're doing counterintelligence or whatever, 534 00:32:29,640 --> 00:32:35,400 Speaker 1: just like we saw with German authorities stopping Heinrich's attempted coup, 535 00:32:36,000 --> 00:32:41,200 Speaker 1: Still ridiculous. This is usually the culmination, right of several 536 00:32:41,200 --> 00:32:44,320 Speaker 1: months of work at least, or how long is this 537 00:32:44,480 --> 00:32:48,320 Speaker 1: pot of coffee of counter intelligence coffee been brewing? Well, 538 00:32:48,360 --> 00:32:50,200 Speaker 1: I suppose it's been for a year, that's what was 539 00:32:50,240 --> 00:32:52,440 Speaker 1: stated there, but I don't know. I have a feeling 540 00:32:52,440 --> 00:32:57,280 Speaker 1: it was longer than that. Guys, And I wonder if 541 00:32:57,360 --> 00:33:00,160 Speaker 1: we're going to get more details about this, because it's 542 00:33:00,160 --> 00:33:03,520 Speaker 1: the real umami of it, right, is learning ins and 543 00:33:03,560 --> 00:33:07,360 Speaker 1: outs of how that kind of thing works on both sides. 544 00:33:07,600 --> 00:33:12,600 Speaker 1: And yeah, unfortunately, I would imagine Matt that we're not 545 00:33:12,680 --> 00:33:14,560 Speaker 1: going to get a lot of details right away if 546 00:33:14,560 --> 00:33:17,440 Speaker 1: they're not even going to name the country. No, and 547 00:33:17,480 --> 00:33:19,680 Speaker 1: when it comes just when it comes to a time 548 00:33:19,680 --> 00:33:24,040 Speaker 1: frame like that, I imagine it would be not advantageous 549 00:33:24,080 --> 00:33:28,920 Speaker 1: to publicly announce how long you've been investigating something, right, 550 00:33:29,040 --> 00:33:32,280 Speaker 1: because then you give the people like a timeline of 551 00:33:32,400 --> 00:33:36,600 Speaker 1: when technology could have been planted on where those people live. Like, 552 00:33:36,920 --> 00:33:39,160 Speaker 1: you know, you don't want to do that if you're 553 00:33:39,280 --> 00:33:41,640 Speaker 1: actually doing counterintelligence like this, you want it to be 554 00:33:41,800 --> 00:33:45,880 Speaker 1: a little more amorphous or under or overestimate a number 555 00:33:45,880 --> 00:33:48,640 Speaker 1: pretty heavily. Yeah, that's a great point, man. And then 556 00:33:49,160 --> 00:33:53,760 Speaker 1: there's another thing in the Guardian article that you had 557 00:33:53,800 --> 00:33:58,080 Speaker 1: mentioned and sent around earlier toward toward the end is 558 00:33:58,120 --> 00:34:02,920 Speaker 1: something initially confused, but towards the end Burgess, as almost 559 00:34:02,960 --> 00:34:07,920 Speaker 1: a separate thing, said that OSSIO have found two other 560 00:34:08,040 --> 00:34:13,520 Speaker 1: countries attempting to essentially kidnap people or to lure them away, 561 00:34:13,600 --> 00:34:16,400 Speaker 1: like you said, seduce them just like you said, you know, 562 00:34:16,600 --> 00:34:20,400 Speaker 1: as someone is trying to find a human rights activist 563 00:34:20,760 --> 00:34:25,120 Speaker 1: and get them outside of off Australian soil where they 564 00:34:25,120 --> 00:34:29,080 Speaker 1: could be And Burgess used this phrase disposed of. That's 565 00:34:29,120 --> 00:34:32,279 Speaker 1: where that's where the water gets deep, you know what 566 00:34:32,320 --> 00:34:35,480 Speaker 1: I mean, Because now it's not just hey, can we 567 00:34:35,640 --> 00:34:40,560 Speaker 1: throw a journalist the equivalent of several thousand dollars or 568 00:34:40,600 --> 00:34:44,040 Speaker 1: whatever and get them to spread propaganda for us, it's 569 00:34:44,120 --> 00:34:51,400 Speaker 1: can we snuff people? Yeah? Who? Oh yeah? Mark, Yep, guys, 570 00:34:51,440 --> 00:34:53,759 Speaker 1: this one, this one might scare you, you both a 571 00:34:53,800 --> 00:34:59,040 Speaker 1: little bit scares me a little bit. Burgess describes a 572 00:34:59,120 --> 00:35:05,960 Speaker 1: scenario where at a bar, two women approached a couple 573 00:35:06,280 --> 00:35:10,440 Speaker 1: of employees Mail employees, and they just wanted to know 574 00:35:10,719 --> 00:35:14,000 Speaker 1: everything they could find out about Pine Gap, a place 575 00:35:14,040 --> 00:35:16,680 Speaker 1: that we've talked about on this show before, place very 576 00:35:16,680 --> 00:35:22,759 Speaker 1: important for signals intelligence. And Mike said, quote, fortunately the 577 00:35:22,800 --> 00:35:29,080 Speaker 1: defense employees resisted and reported the approach to ten rule mail. 578 00:35:29,160 --> 00:35:32,080 Speaker 1: We got that one time about somebody who was stationed abroad, 579 00:35:32,760 --> 00:35:38,000 Speaker 1: and we're talking they were like essentially monitoring people, and 580 00:35:38,040 --> 00:35:40,600 Speaker 1: they sent them they were like communicating with a loved one, 581 00:35:40,840 --> 00:35:43,840 Speaker 1: you know, secretly kind of and they met somebody randomly 582 00:35:43,880 --> 00:35:46,440 Speaker 1: at a bar that kind of knew everything about them. 583 00:35:46,440 --> 00:35:49,520 Speaker 1: Oh yeah, I remember that. Yeah, this reminds me of that. 584 00:35:49,520 --> 00:35:53,719 Speaker 1: That's actually that's a great counter example because in that example, 585 00:35:54,360 --> 00:35:58,360 Speaker 1: it was it was an entirely a hometown game, you 586 00:35:58,400 --> 00:36:02,440 Speaker 1: know what I mean. So that was that was the 587 00:36:02,560 --> 00:36:05,000 Speaker 1: US doing their due diligence. And I think we can 588 00:36:05,040 --> 00:36:07,600 Speaker 1: say it's the US, but we probably remember we had 589 00:36:07,640 --> 00:36:09,520 Speaker 1: to be careful with some details on that. But this 590 00:36:09,560 --> 00:36:14,200 Speaker 1: stuff happens more than people think, given Australia's literal position 591 00:36:14,280 --> 00:36:17,840 Speaker 1: in the world and the amount of resources it possesses, 592 00:36:18,040 --> 00:36:21,840 Speaker 1: especially mineral resources. Um, I don't know. And also you 593 00:36:21,920 --> 00:36:24,720 Speaker 1: just want to know stuff, right, It's cool to know things. Well, yeah, 594 00:36:24,760 --> 00:36:28,239 Speaker 1: and what Australia knows might be also what the US 595 00:36:28,320 --> 00:36:32,919 Speaker 1: knows or what the UK knows. Right, So they're allies. Yeah, 596 00:36:32,960 --> 00:36:37,120 Speaker 1: but there are five eyes, right, there are five allies, 597 00:36:37,960 --> 00:36:41,000 Speaker 1: and there's a lot of shared information there, and that's 598 00:36:41,000 --> 00:36:44,200 Speaker 1: why it becomes very dangerous. Guys, we're gonna have to 599 00:36:44,320 --> 00:36:47,480 Speaker 1: keep our ears and eyes out for this and definitely 600 00:36:47,880 --> 00:36:51,799 Speaker 1: definitely guys, resist anyone who approaches you and wants to 601 00:36:51,800 --> 00:37:00,200 Speaker 1: know about Pine Gap overall. Overall, Yeah, all right, we'll 602 00:37:00,200 --> 00:37:09,719 Speaker 1: be right back with one last strange news story. I 603 00:37:09,760 --> 00:37:14,200 Speaker 1: am so excited about this at all caps so the 604 00:37:14,320 --> 00:37:20,480 Speaker 1: document excitement registered visually there. What I'm on one and 605 00:37:20,680 --> 00:37:22,840 Speaker 1: we have to ask, is it the coffee or is 606 00:37:22,880 --> 00:37:26,399 Speaker 1: it legitimate excitement? But this one legit excitement, even if 607 00:37:26,440 --> 00:37:30,120 Speaker 1: I wasn't caffeinated to the gills as usual. Okay, here's 608 00:37:30,200 --> 00:37:34,680 Speaker 1: here's the entry point. So while I was traveling a 609 00:37:34,719 --> 00:37:37,279 Speaker 1: couple of places I can remember where I got, I 610 00:37:37,360 --> 00:37:40,960 Speaker 1: started reading this book by Neil Stephenson. I love Neil Stevenson. 611 00:37:41,080 --> 00:37:45,000 Speaker 1: Amazing author. Maybe not for everybody, but amazing guy, amazing mind. 612 00:37:45,520 --> 00:37:49,640 Speaker 1: He recently wrote a book called Termination Shock, and Termination 613 00:37:49,760 --> 00:37:53,280 Speaker 1: Shock has a really interesting opening. It's in the near future. 614 00:37:53,640 --> 00:37:56,000 Speaker 1: It's sci fi about climate change. But don't let that 615 00:37:56,000 --> 00:37:59,080 Speaker 1: turn you off. That's why I didn't want to read 616 00:37:59,120 --> 00:38:00,759 Speaker 1: it for a while at so I was like, oh, 617 00:38:00,840 --> 00:38:05,000 Speaker 1: come on, I don't need this diatribe today. But in 618 00:38:05,040 --> 00:38:09,160 Speaker 1: the very beginning, this plane, I think it's like the 619 00:38:09,239 --> 00:38:13,080 Speaker 1: Queen of the Netherlands is piloting a plane for reasons 620 00:38:13,120 --> 00:38:15,279 Speaker 1: we don't have to get into and it crashes in 621 00:38:15,360 --> 00:38:21,719 Speaker 1: Texas and they are attacked by this massive collection of 622 00:38:21,840 --> 00:38:25,560 Speaker 1: Farrell Hawgs. And as I'm reading this, yeah, and this 623 00:38:25,600 --> 00:38:27,440 Speaker 1: happens very quickly in the beginning of the book. So 624 00:38:27,480 --> 00:38:29,560 Speaker 1: it's not a spoiler. As I'm reading this, I'm like, 625 00:38:29,719 --> 00:38:32,160 Speaker 1: all right, well, let's see if he gets preachy about 626 00:38:32,200 --> 00:38:36,320 Speaker 1: climate change. But for right now, great setup, Neil, and 627 00:38:37,560 --> 00:38:41,760 Speaker 1: probably she makes it out of that first encounter. Yeah, okay, okay. 628 00:38:41,800 --> 00:38:44,520 Speaker 1: And here's the other thing. Remember, gosh, how many years 629 00:38:44,560 --> 00:38:49,080 Speaker 1: ago was it when the cyclical conversation about firearms in 630 00:38:49,120 --> 00:38:52,480 Speaker 1: the US was at its apex and people were talking 631 00:38:52,520 --> 00:38:57,440 Speaker 1: about needing fully automatic weapons in case they had to 632 00:38:57,480 --> 00:39:01,120 Speaker 1: fight off thirty to fifty Farrell hawks. And that became 633 00:39:01,120 --> 00:39:03,440 Speaker 1: a meme for a second. Yeah, because you started it. 634 00:39:03,480 --> 00:39:06,880 Speaker 1: Though it's so kind of accidentally. This guy Jason Isabel, 635 00:39:07,320 --> 00:39:11,520 Speaker 1: who's songwriter guitarists, used to be in the drive by 636 00:39:11,560 --> 00:39:15,040 Speaker 1: truckers and then kind of went solo, and he tweeted 637 00:39:15,280 --> 00:39:17,680 Speaker 1: sort of like a hot take about assault weapons, said, 638 00:39:17,719 --> 00:39:20,480 Speaker 1: if you're on here arguing the definition of assault weapon today, 639 00:39:20,680 --> 00:39:22,720 Speaker 1: you're part of the problem. You know what an assault 640 00:39:22,760 --> 00:39:24,680 Speaker 1: weapon is, and you know you don't need one, to 641 00:39:24,719 --> 00:39:28,920 Speaker 1: which Willie McNabb replied, legit. Question for rural Americans, how 642 00:39:28,920 --> 00:39:31,120 Speaker 1: do I kill thirty to fifty Ferrell hogs? They run 643 00:39:31,120 --> 00:39:33,480 Speaker 1: into my yard within three to five minutes while my 644 00:39:33,560 --> 00:39:38,520 Speaker 1: small kids play jeez, and so these things. Once again, 645 00:39:38,680 --> 00:39:42,080 Speaker 1: Stephenson made some As a brilliant sci fi author, he 646 00:39:42,480 --> 00:39:46,319 Speaker 1: made predictions that are closer to becoming true as we 647 00:39:46,360 --> 00:39:51,360 Speaker 1: record this. Fellow conspiracy realist, especially the northern United States, 648 00:39:51,960 --> 00:39:56,080 Speaker 1: super pigs are coming your way. That's like twenty twenty 649 00:39:56,120 --> 00:40:01,520 Speaker 1: three already we got some. We got some new a species. Uh. 650 00:40:01,680 --> 00:40:05,680 Speaker 1: They're a cross breed between domestic pigs wild boars. They 651 00:40:05,719 --> 00:40:09,080 Speaker 1: can get up to two hundred and fifty pounds in 652 00:40:09,160 --> 00:40:13,240 Speaker 1: weight on average. They go absolutely beast mode on anything 653 00:40:13,280 --> 00:40:16,880 Speaker 1: in the environment. They can also, according to the USDA, 654 00:40:16,960 --> 00:40:20,120 Speaker 1: they can go into uh like a height of three 655 00:40:20,200 --> 00:40:23,400 Speaker 1: feet they could be five feet long. These are not 656 00:40:23,520 --> 00:40:26,560 Speaker 1: the pigs from Charlotte's Web, you know, I mean, this 657 00:40:26,680 --> 00:40:33,480 Speaker 1: is not Babe, I'm just doing that's oh my. And 658 00:40:33,960 --> 00:40:36,120 Speaker 1: it does it look like a pig or a boar. 659 00:40:36,840 --> 00:40:39,439 Speaker 1: It looks more like a bore if you were just 660 00:40:40,200 --> 00:40:44,719 Speaker 1: hanging out. Good god, that's that's terrifying to me. Yeah, 661 00:40:44,719 --> 00:40:46,960 Speaker 1: and you can see some pictures of these. I mean, 662 00:40:47,200 --> 00:40:50,040 Speaker 1: I know we've been quoting The Guardian extensively here. They 663 00:40:50,120 --> 00:40:52,360 Speaker 1: just did a lot of great work this week. Um 664 00:40:52,880 --> 00:40:55,840 Speaker 1: the uh, there's a great article by Adam Gabbett that 665 00:40:55,960 --> 00:40:58,520 Speaker 1: will give you a quick look at some of this stuff. 666 00:40:59,120 --> 00:41:05,640 Speaker 1: Right now, this Canadian based creature, this super pig, it's 667 00:41:05,719 --> 00:41:11,680 Speaker 1: being called that because it's incredibly agro, it's incredibly you know, belligerent, 668 00:41:11,760 --> 00:41:15,520 Speaker 1: it's very intelligent, and it's super good at not being 669 00:41:15,560 --> 00:41:19,799 Speaker 1: found if it doesn't want to be found. And right now, 670 00:41:19,960 --> 00:41:23,120 Speaker 1: already just the regular pigs that are running around the 671 00:41:23,239 --> 00:41:26,960 Speaker 1: US and they're not a native species, remember that right now. 672 00:41:27,320 --> 00:41:30,400 Speaker 1: Uncle Sam estimates there's already six million wild or feral 673 00:41:30,480 --> 00:41:33,880 Speaker 1: pigs and they cause one point five billion dollars of 674 00:41:34,000 --> 00:41:39,880 Speaker 1: damage each year. So maybe maybe if the courts get creative, 675 00:41:40,320 --> 00:41:43,960 Speaker 1: dominion will say, you know, you know, you can pay us, 676 00:41:45,000 --> 00:41:47,960 Speaker 1: or you can fight the pigs, you know what I mean, 677 00:41:48,440 --> 00:41:53,760 Speaker 1: to death. It's like rubber Bathian. Yeah you know, yeah, 678 00:41:53,880 --> 00:41:58,200 Speaker 1: well you'll trial by combat. So the males have long 679 00:41:58,320 --> 00:42:02,560 Speaker 1: tusk and they can spear, they can gore, they can 680 00:42:02,680 --> 00:42:08,600 Speaker 1: stove in a chest. These things have killed deer and elk. Yeah, 681 00:42:08,760 --> 00:42:11,120 Speaker 1: like I will give you a sense, Ben, I just 682 00:42:11,239 --> 00:42:14,000 Speaker 1: got that Guardian article you're talking about. It says they 683 00:42:14,000 --> 00:42:16,440 Speaker 1: can even get bigger than that two hundred and fifty 684 00:42:16,440 --> 00:42:22,280 Speaker 1: pound average rings like like doubleyet nah, five pound tust 685 00:42:22,480 --> 00:42:28,440 Speaker 1: pig that's like three feet tall. Nah, And people, the 686 00:42:28,520 --> 00:42:32,520 Speaker 1: weird thing is as ridiculous as this sound. Scientists have 687 00:42:32,600 --> 00:42:36,040 Speaker 1: been warning about this for years and years and years, 688 00:42:36,080 --> 00:42:40,839 Speaker 1: and no one listened because the idea sounds so preposterous. Like, hey, 689 00:42:40,880 --> 00:42:43,040 Speaker 1: I know there are a lot of terrible things going on. 690 00:42:43,120 --> 00:42:45,120 Speaker 1: There's a lot of crap we have to be worried about. 691 00:42:45,840 --> 00:42:48,960 Speaker 1: But add super pigs to the list, and everyone's like, 692 00:42:49,239 --> 00:42:54,319 Speaker 1: get out of here, professor, you're drunk. And you know, 693 00:42:54,719 --> 00:42:57,400 Speaker 1: it's like a last of a situation, but with pigs 694 00:42:57,400 --> 00:43:00,759 Speaker 1: instead of corducepts. Like imagine someone finally goes to the 695 00:43:00,800 --> 00:43:05,600 Speaker 1: professor's pigproof bunker and he's like, you have to apologize first, yo. 696 00:43:05,800 --> 00:43:08,160 Speaker 1: Can you imagine if the super pigs joined forces with 697 00:43:08,160 --> 00:43:15,319 Speaker 1: the super bugs. That's kind of supercap That's kind of 698 00:43:15,360 --> 00:43:18,200 Speaker 1: what's happening if you mean, like if if we're talking bugs, 699 00:43:18,320 --> 00:43:26,399 Speaker 1: is in affections, infections exactly become that become resistant to antibiotics, right, 700 00:43:27,320 --> 00:43:31,520 Speaker 1: and they are a mixtape. Uh. They are potentially a 701 00:43:31,560 --> 00:43:36,400 Speaker 1: great American melting pot of viruses that are zoonotic that 702 00:43:36,440 --> 00:43:40,480 Speaker 1: are transmissible to humans. Man, so you think you got 703 00:43:40,520 --> 00:43:49,759 Speaker 1: away and then the coughing starts. God, it's a terrible thing, right. Um. No, Now, 704 00:43:49,800 --> 00:43:54,200 Speaker 1: of course there are a lot of programs to try 705 00:43:54,280 --> 00:43:58,320 Speaker 1: to tamp down on these these invasive species, these wild 706 00:43:58,360 --> 00:44:03,080 Speaker 1: or feral animals. But the new ones, right, the V 707 00:44:03,200 --> 00:44:07,960 Speaker 1: two point zero that are coming, they do like hardcore 708 00:44:08,200 --> 00:44:11,640 Speaker 1: special forces stuff like if they if they know someone's 709 00:44:11,719 --> 00:44:16,640 Speaker 1: hunting them, they will be smart enough to burrow under 710 00:44:16,760 --> 00:44:20,640 Speaker 1: snow and freezing temperatures and hide out for hours until 711 00:44:21,080 --> 00:44:27,480 Speaker 1: you know, the heat passes back up. Yeah. Yeah, and 712 00:44:27,520 --> 00:44:31,440 Speaker 1: they're breeding. Um. The ideas that because they expand and 713 00:44:31,440 --> 00:44:34,640 Speaker 1: they can be tough to catch, the populations they're breeding 714 00:44:34,640 --> 00:44:37,120 Speaker 1: with other pigs that are already over the border, right 715 00:44:37,120 --> 00:44:41,040 Speaker 1: because nature doesn't really care about political borders. So the 716 00:44:41,120 --> 00:44:45,160 Speaker 1: pigs are going to have a pig party very you know, 717 00:44:45,719 --> 00:44:49,960 Speaker 1: showtime after dark pig party, and they're just their population 718 00:44:50,120 --> 00:44:53,800 Speaker 1: will explode. I know, man, it's not the most poetic phrase. 719 00:44:54,120 --> 00:44:59,240 Speaker 1: But the problem then becomes they Okay, they do tremendous 720 00:44:59,280 --> 00:45:03,480 Speaker 1: damage to crops, they do tremendous damage to agriculture, to 721 00:45:03,760 --> 00:45:08,640 Speaker 1: other extant species, but they can also pose a great 722 00:45:08,840 --> 00:45:12,280 Speaker 1: danger to humans. This Every article I've been reading about 723 00:45:12,280 --> 00:45:16,360 Speaker 1: this turns into this laundry list about how bad these 724 00:45:16,400 --> 00:45:19,600 Speaker 1: things are for everyone. And I know it's very um 725 00:45:20,320 --> 00:45:23,040 Speaker 1: it's very easy to think like we're being cold and 726 00:45:23,440 --> 00:45:26,680 Speaker 1: nature should run into course and so on. But that's 727 00:45:26,760 --> 00:45:30,000 Speaker 1: until you learn all the stuff about these creatures, the 728 00:45:30,040 --> 00:45:34,600 Speaker 1: fact that it's difficult to kill them with firearms unless 729 00:45:34,600 --> 00:45:39,200 Speaker 1: you're packing something heavy because of the weird composition of 730 00:45:39,320 --> 00:45:43,040 Speaker 1: their bodies. Like you can shoot at them. I don't. 731 00:45:43,040 --> 00:45:46,080 Speaker 1: I don't think we owe an apology to those guys 732 00:45:46,080 --> 00:45:49,000 Speaker 1: on Twitter, but it like you can shoot at these 733 00:45:49,000 --> 00:45:54,719 Speaker 1: things and they'll still get you. They're armored, and they're 734 00:45:54,760 --> 00:45:57,919 Speaker 1: like the like smoug from the Hobbit, or they only 735 00:45:57,960 --> 00:46:03,279 Speaker 1: have a tiny little vulnerable cube. So apparently they are 736 00:46:03,400 --> 00:46:07,680 Speaker 1: far more resistant on pretty much every level. So I 737 00:46:07,719 --> 00:46:11,919 Speaker 1: think there is physiological stuff I've got to We've got 738 00:46:11,920 --> 00:46:17,480 Speaker 1: to find one, just one. Yeah, well, wait you I 739 00:46:17,520 --> 00:46:19,120 Speaker 1: will hang out in a chicken coop, but I will 740 00:46:19,160 --> 00:46:21,560 Speaker 1: not go trapesing through the wood looking for Farrell hogs 741 00:46:21,560 --> 00:46:23,560 Speaker 1: with you. Sorry, that's where I draw the line. I 742 00:46:23,600 --> 00:46:27,200 Speaker 1: actually put me in y'all. Let me know what's up. 743 00:46:27,760 --> 00:46:31,279 Speaker 1: I may try the well because forgive me if I'm 744 00:46:31,320 --> 00:46:35,279 Speaker 1: wrong here, but these pigs are edible like any other pig, right, 745 00:46:35,360 --> 00:46:38,560 Speaker 1: Heck yeah, they're probably get Yeah, so if you do, 746 00:46:38,600 --> 00:46:42,279 Speaker 1: if you happen to eat that, Um, maybe maybe you don't, 747 00:46:42,400 --> 00:46:44,920 Speaker 1: but I mean, I guess I would if I had to. 748 00:46:45,320 --> 00:46:48,040 Speaker 1: So people are going hungry. There's a food source. You 749 00:46:48,160 --> 00:46:51,839 Speaker 1: just need some high caliber weaponry to take one out 750 00:46:51,960 --> 00:46:55,600 Speaker 1: if you can't. So here an argument for assault rifles. Boom. 751 00:46:55,640 --> 00:46:58,719 Speaker 1: It's the most high stakes bacon you will ever eat. Oh. 752 00:46:58,760 --> 00:47:01,160 Speaker 1: I like the idea of high stake sam makes it 753 00:47:01,239 --> 00:47:04,399 Speaker 1: taste that much better. It does, it really does. It's 754 00:47:04,440 --> 00:47:06,919 Speaker 1: like in Game of Thrones or song about some fire 755 00:47:06,960 --> 00:47:10,040 Speaker 1: technically whether where they they're like, did you buy that 756 00:47:10,120 --> 00:47:13,879 Speaker 1: with the gold price or the iron price? Iron brow? Yeah. 757 00:47:14,000 --> 00:47:16,319 Speaker 1: It's the same as people eating, you know, food from 758 00:47:16,320 --> 00:47:20,120 Speaker 1: the supermarket versus catching or at the very least, slaughtering 759 00:47:20,120 --> 00:47:22,520 Speaker 1: their own food. It's a different, and it's different, you know. 760 00:47:23,320 --> 00:47:26,160 Speaker 1: And this okay, so I'm so excited about this that 761 00:47:26,280 --> 00:47:29,920 Speaker 1: I forgot to talk about how these came to be. 762 00:47:29,920 --> 00:47:34,320 Speaker 1: Because if you look for super pigs in your browser 763 00:47:34,360 --> 00:47:37,560 Speaker 1: of choice, then you are going to see that the 764 00:47:37,600 --> 00:47:40,960 Speaker 1: government of China and the US had been trying to 765 00:47:41,160 --> 00:47:45,000 Speaker 1: breed different streams of pigs and sometimes these were called 766 00:47:45,040 --> 00:47:48,960 Speaker 1: super pigs as well, Canadian super pigs very different. What 767 00:47:49,239 --> 00:47:55,000 Speaker 1: had happened was Canadian farmers imported wild boars from Europe 768 00:47:55,239 --> 00:47:59,840 Speaker 1: in the nineteen eighties and they got out because the 769 00:48:00,160 --> 00:48:03,800 Speaker 1: very smart. They're very intelligent animals, and they thought, okay, 770 00:48:03,840 --> 00:48:06,640 Speaker 1: we can rear these boar because we like some of 771 00:48:06,640 --> 00:48:09,680 Speaker 1: these traits. We can rear them for meat. But to 772 00:48:09,719 --> 00:48:11,640 Speaker 1: do that, we need to breathe them with domestic pigs, 773 00:48:11,960 --> 00:48:14,640 Speaker 1: which we're not a thing in this continent till the 774 00:48:14,640 --> 00:48:18,319 Speaker 1: fifteen hundreds or so. So they breathed these pigs to 775 00:48:18,440 --> 00:48:20,560 Speaker 1: get the boars and the pigs together. And they're not 776 00:48:20,640 --> 00:48:26,200 Speaker 1: indigenous to Canada, but they are very very enterprising minds, 777 00:48:26,440 --> 00:48:28,920 Speaker 1: and so of course the escape because they're not dumb. 778 00:48:29,400 --> 00:48:32,719 Speaker 1: If you figure out that you're being raised for as 779 00:48:32,800 --> 00:48:36,040 Speaker 1: food as a food source, you try to get out, 780 00:48:36,200 --> 00:48:40,040 Speaker 1: you know, see if you could change your circumstances. And 781 00:48:41,160 --> 00:48:44,080 Speaker 1: some of them escape from farms. But then the population 782 00:48:44,160 --> 00:48:49,320 Speaker 1: grew again because there was a decline in demand for pork, 783 00:48:50,000 --> 00:48:52,440 Speaker 1: and some farmers just said, well, I'm not going to 784 00:48:52,560 --> 00:48:58,480 Speaker 1: kill you if there's no reason, go free, you know. Yeah, Like, 785 00:48:58,680 --> 00:49:02,319 Speaker 1: what's that thing at the end of that'll do that'll pig? 786 00:49:03,000 --> 00:49:08,400 Speaker 1: That pig? Did you guys read about the method of 787 00:49:08,440 --> 00:49:12,440 Speaker 1: a Judas pig? The hunting method of a Judas pig. 788 00:49:12,760 --> 00:49:17,239 Speaker 1: I'm gonna guess it's biblically disgusting. No, Can I just 789 00:49:17,680 --> 00:49:22,200 Speaker 1: tell this really? Yea. The concept is, if you're hunting 790 00:49:22,320 --> 00:49:26,680 Speaker 1: these special super pigs, you capture one. You don't kill it. 791 00:49:26,840 --> 00:49:29,799 Speaker 1: You capture one, then you fit it with a GPS, 792 00:49:30,320 --> 00:49:33,160 Speaker 1: then you release it back into the wild, and theoretically, 793 00:49:33,200 --> 00:49:35,879 Speaker 1: if you leave it alone long enough, it goes back 794 00:49:35,920 --> 00:49:38,000 Speaker 1: to it's not called a herd, I don't know what, 795 00:49:38,040 --> 00:49:41,640 Speaker 1: it's called the group of pigs um or maybe it 796 00:49:41,719 --> 00:49:45,040 Speaker 1: is a herd, I don't know, um a group. And 797 00:49:45,080 --> 00:49:47,239 Speaker 1: then you go and take out that group, but you 798 00:49:47,360 --> 00:49:50,880 Speaker 1: leave the Judas pig alive, and then you release it 799 00:49:50,920 --> 00:49:53,640 Speaker 1: again and let it go and it goes and finds 800 00:49:53,640 --> 00:49:56,040 Speaker 1: other pigs, and then you take out that group because 801 00:49:56,080 --> 00:50:01,960 Speaker 1: it's betraying it. That's so much And this is like 802 00:50:02,200 --> 00:50:04,640 Speaker 1: a gutty and a tactic. You know what I mean 803 00:50:05,440 --> 00:50:08,399 Speaker 1: send the survive, send one back and let them think 804 00:50:08,440 --> 00:50:11,160 Speaker 1: they made it. A group of pigs is apparently called 805 00:50:11,160 --> 00:50:16,240 Speaker 1: a drift or drove or a sounder, and a group 806 00:50:16,280 --> 00:50:19,560 Speaker 1: of boars is called a singular. So help us out 807 00:50:20,280 --> 00:50:22,920 Speaker 1: what should why does it call a singular? Right? So 808 00:50:23,000 --> 00:50:25,600 Speaker 1: what should we call a group of super pigs? I 809 00:50:25,640 --> 00:50:28,200 Speaker 1: don't know? But can I just add really quickly, one 810 00:50:28,200 --> 00:50:30,640 Speaker 1: more little Disney thing I learned. I did the Safari 811 00:50:30,719 --> 00:50:33,720 Speaker 1: thing an animal Kingdom, and our driver was really into 812 00:50:33,920 --> 00:50:39,480 Speaker 1: animal group names. And I learned a flamboyance of of flamingos. 813 00:50:40,040 --> 00:50:43,000 Speaker 1: And it's not because they're fabulous, it's because they're buoyant. 814 00:50:43,800 --> 00:50:46,600 Speaker 1: They're very good at float it's good. And then a 815 00:50:46,719 --> 00:50:53,480 Speaker 1: crash of rhinos, which I love, um actually good one. 816 00:50:53,760 --> 00:50:57,760 Speaker 1: There was a float of crocodiles if they're in the water, 817 00:50:58,200 --> 00:51:02,120 Speaker 1: and a basque of crocodile aisles if they're on the land. Wow. 818 00:51:02,160 --> 00:51:08,200 Speaker 1: I always liked unkindness of ravens and the corvids. Man, 819 00:51:08,239 --> 00:51:12,759 Speaker 1: there's so many a glaring of cats. How do we 820 00:51:12,800 --> 00:51:15,360 Speaker 1: get in the business of just making up those names? Right? 821 00:51:15,480 --> 00:51:18,360 Speaker 1: They're they're cleverly descriptive. Someone had to have kind of 822 00:51:18,400 --> 00:51:21,480 Speaker 1: coined it some zoologist or whatever, but they usually are 823 00:51:21,520 --> 00:51:24,040 Speaker 1: like some clever description, but I still don't quite get 824 00:51:24,040 --> 00:51:28,239 Speaker 1: a singular of boars. No, that's just a flex. At 825 00:51:28,239 --> 00:51:32,919 Speaker 1: that point, you know, somebody was being too clever. So 826 00:51:33,360 --> 00:51:36,279 Speaker 1: there are other things you need to know about this. 827 00:51:36,440 --> 00:51:40,600 Speaker 1: What we're seeing is something called Bergman's rule playing out 828 00:51:40,680 --> 00:51:44,880 Speaker 1: in real time Bergman b R G M A N N. 829 00:51:45,680 --> 00:51:51,560 Speaker 1: This rule says that the further north at animals range 830 00:51:51,600 --> 00:51:56,040 Speaker 1: is the higher the tendency that they will be larger. 831 00:51:56,760 --> 00:51:59,880 Speaker 1: So the size and the intelligence of super pigs allowed 832 00:52:00,160 --> 00:52:04,880 Speaker 1: to survive in harsh conditions, which makes moving to less 833 00:52:04,920 --> 00:52:10,240 Speaker 1: harsh environments cheesecake, which means that in less action is taken. 834 00:52:10,880 --> 00:52:14,400 Speaker 1: These are on the way, and I just I am 835 00:52:14,440 --> 00:52:19,359 Speaker 1: so fascinated that Neil Stevenson predicted this was reading about it. 836 00:52:19,360 --> 00:52:23,000 Speaker 1: It hits everything we know about sci fi blockbusters. There's 837 00:52:23,000 --> 00:52:28,040 Speaker 1: a hapless professor who's been warning people ape man like 838 00:52:28,200 --> 00:52:31,120 Speaker 1: serious cast of characters. I've only ever read um. It 839 00:52:31,200 --> 00:52:34,680 Speaker 1: was called re reamdi Yeah, yeah, yeah, it's about like 840 00:52:34,800 --> 00:52:38,920 Speaker 1: gold farming in like multiple like MMARPG games and some 841 00:52:38,920 --> 00:52:41,920 Speaker 1: sort of diabolical plot. But then there's also I think 842 00:52:41,960 --> 00:52:45,440 Speaker 1: snow crash is maybe the most kind of cyberpunky or 843 00:52:45,520 --> 00:52:48,160 Speaker 1: like like very much an important one from him, right 844 00:52:48,600 --> 00:52:54,040 Speaker 1: m h and anathema or anathem and seventies were also 845 00:52:54,160 --> 00:52:58,480 Speaker 1: great like okay, again not for everybody, pretty cerebral, but uh, 846 00:52:59,160 --> 00:53:01,480 Speaker 1: but pretty predict in this case. So the last thing 847 00:53:01,520 --> 00:53:05,440 Speaker 1: you need to know, let's get a quote from Ryan Brook, 848 00:53:05,560 --> 00:53:07,960 Speaker 1: who is the leader of the Wild Pig research project 849 00:53:07,960 --> 00:53:11,080 Speaker 1: at the University of Saskatchewan. Might have to reach out 850 00:53:11,360 --> 00:53:16,160 Speaker 1: to Professor Brooke and see if he wants to talk 851 00:53:16,719 --> 00:53:19,640 Speaker 1: in an interview or on an episode, but add this quote. 852 00:53:19,880 --> 00:53:21,600 Speaker 1: It gives us the lay of the land. He says, 853 00:53:21,680 --> 00:53:24,520 Speaker 1: probably as late as maybe twenty ten or twenty twelve, 854 00:53:24,880 --> 00:53:28,359 Speaker 1: there was probably a reasonable chance of finding and removing them, 855 00:53:28,480 --> 00:53:31,480 Speaker 1: being the super pigs. But now they're so widespread and 856 00:53:31,600 --> 00:53:35,560 Speaker 1: so abundant that certainly as late as twenty eighteen or nineteen, 857 00:53:35,920 --> 00:53:40,239 Speaker 1: I stopped saying that eradication was possible. They're just so established. 858 00:53:40,320 --> 00:53:43,760 Speaker 1: They've definitely moved in and they're here to stay. Oh 859 00:53:43,760 --> 00:53:47,800 Speaker 1: boy are they? Yeah? So tell us what you think, folks, 860 00:53:48,360 --> 00:53:51,239 Speaker 1: tell us what tell us what you think of high 861 00:53:51,280 --> 00:53:56,319 Speaker 1: stakes Bacon tell us what these other invasive species you 862 00:53:56,400 --> 00:54:00,280 Speaker 1: think maybe on the way, let us know particular early 863 00:54:00,600 --> 00:54:05,000 Speaker 1: if you have had experience with Farrell picks with bore 864 00:54:05,600 --> 00:54:08,160 Speaker 1: or something like that. We can't wait to hear. We 865 00:54:08,239 --> 00:54:12,080 Speaker 1: also want to know your thoughts on defamation. We want 866 00:54:12,120 --> 00:54:15,560 Speaker 1: to know your thoughts on dominion voting systems and what 867 00:54:15,640 --> 00:54:18,799 Speaker 1: may or may not happen to Fox News if you 868 00:54:18,840 --> 00:54:23,160 Speaker 1: are in Australia or anywhere. As we said, just don't 869 00:54:23,200 --> 00:54:25,640 Speaker 1: talk about Pine Gap to strangers, you know what I mean, 870 00:54:25,800 --> 00:54:29,600 Speaker 1: especially attractive ones at a bar. Especially attractive ones at 871 00:54:29,640 --> 00:54:32,960 Speaker 1: a bar. Yeah, they might be trying to seduce you. 872 00:54:34,360 --> 00:54:36,040 Speaker 1: I just want to add really quick, one last little 873 00:54:36,040 --> 00:54:39,719 Speaker 1: bacon bit. Yeah, I saw I saw a thing. I 874 00:54:39,760 --> 00:54:42,560 Speaker 1: think it was New York Times cooking. Apparently, if you 875 00:54:42,640 --> 00:54:46,879 Speaker 1: twist your bacon like into a braid and then fry 876 00:54:46,920 --> 00:54:50,719 Speaker 1: it up that way, it's like delightful. I haven't tried 877 00:54:50,800 --> 00:54:52,880 Speaker 1: this yet. I haven't tried it, but I'm fascinated by 878 00:54:52,920 --> 00:54:55,960 Speaker 1: this idea. Let's do it because we are going to 879 00:54:56,080 --> 00:54:59,440 Speaker 1: be on the road together for the first time in 880 00:54:59,480 --> 00:55:05,920 Speaker 1: a while, so maybe maybe we can make that a project. 881 00:55:06,920 --> 00:55:11,160 Speaker 1: Cancel our plans. We're doing a high stakes baked experiment. 882 00:55:11,640 --> 00:55:16,440 Speaker 1: It's Project Braid. Yeah, I like this braids and acronym. 883 00:55:16,440 --> 00:55:18,000 Speaker 1: We're not going to tell you what it stands for though. 884 00:55:18,000 --> 00:55:22,319 Speaker 1: It's also an excellent value game. You had a band? Yes? Uh? 885 00:55:22,360 --> 00:55:26,040 Speaker 1: And the last thing, if you you heard us reference 886 00:55:26,160 --> 00:55:29,359 Speaker 1: the two ten rule really quickly, it's it's a rule 887 00:55:29,360 --> 00:55:33,880 Speaker 1: of thumb. It is not It is not like a 888 00:55:33,960 --> 00:55:37,560 Speaker 1: high fluting procedure of any sort. The ideas that if 889 00:55:37,680 --> 00:55:43,520 Speaker 1: you are in an unfamiliar place, you're doing something interesting 890 00:55:43,719 --> 00:55:46,600 Speaker 1: right like you are you're at the fancy hotel bar 891 00:55:46,800 --> 00:55:49,880 Speaker 1: because you are at your fancy business convention. And then 892 00:55:50,200 --> 00:55:53,840 Speaker 1: and as stranger approaches you, it is not going to 893 00:55:53,920 --> 00:55:56,200 Speaker 1: hurt not meant to hurt your self esteem. You need 894 00:55:56,239 --> 00:55:59,000 Speaker 1: to think of the one to ten attractiveness level and 895 00:55:59,200 --> 00:56:02,600 Speaker 1: treat yourself like a two and imagine whomever speaking to 896 00:56:02,640 --> 00:56:06,120 Speaker 1: you as a ten and immediately question their motives. No 897 00:56:06,200 --> 00:56:09,359 Speaker 1: matter how cool you feel at the time, You just 898 00:56:09,400 --> 00:56:13,240 Speaker 1: have to keep your head on swivel. That's funny and accurate, 899 00:56:13,560 --> 00:56:17,360 Speaker 1: good advice. If you have any of these things that 900 00:56:17,400 --> 00:56:19,680 Speaker 1: you want to communicate with us about, you can reach 901 00:56:19,760 --> 00:56:24,319 Speaker 1: us on social media where we're conspiracy stuff on YouTube, Twitter, Facebook, 902 00:56:24,840 --> 00:56:29,120 Speaker 1: conspiracy stuff show on TikTok and Instagram. And if you 903 00:56:29,160 --> 00:56:30,680 Speaker 1: don't want to do any of those things, you can 904 00:56:30,719 --> 00:56:32,879 Speaker 1: give us a telephone call. Yes you can. You can 905 00:56:32,920 --> 00:56:37,719 Speaker 1: call one eight three three std wy t K and 906 00:56:37,800 --> 00:56:41,080 Speaker 1: tell us all about our book that you ordered, because 907 00:56:41,120 --> 00:56:44,040 Speaker 1: now you're getting a fifth copy and we don't understand why. 908 00:56:44,080 --> 00:56:46,200 Speaker 1: But if you explain it to us, we will help 909 00:56:46,280 --> 00:56:50,440 Speaker 1: us get this thing into paperback. Y'all, come on help us, Yeah, seriously, please, 910 00:56:52,120 --> 00:56:53,840 Speaker 1: but yeah, when you do call in, give yourself a 911 00:56:53,840 --> 00:56:56,319 Speaker 1: cool nickname. You've got three minutes. Tell us whatever you'd like. 912 00:56:56,520 --> 00:57:00,040 Speaker 1: We can't wait to hear your stories. And if you 913 00:57:00,120 --> 00:57:03,439 Speaker 1: would like to not do that, why not instead send 914 00:57:03,520 --> 00:57:06,520 Speaker 1: us a good old fashioned email. We are conspiracy at 915 00:57:06,520 --> 00:57:27,720 Speaker 1: iHeartRadio dot com. Stuff they Don't want you to Know 916 00:57:27,960 --> 00:57:31,720 Speaker 1: is a production of iHeartRadio. For more podcasts from iHeartRadio, 917 00:57:31,920 --> 00:57:35,160 Speaker 1: visit the iHeartRadio app, Apple Podcasts, or wherever you listen 918 00:57:35,200 --> 00:57:36,120 Speaker 1: to your favorite shows.