1 00:00:04,640 --> 00:00:10,200 Speaker 1: Oh yeah, Sophie, that's how we opened the episode. I 2 00:00:10,240 --> 00:00:12,760 Speaker 1: didn't think anything could be more appalling than that other 3 00:00:12,800 --> 00:00:14,600 Speaker 1: thing that you said that I won't know what I 4 00:00:14,640 --> 00:00:18,160 Speaker 1: was talking about. Brett Kavanaugh and Clarence Thomas wrapped together 5 00:00:18,960 --> 00:00:22,440 Speaker 1: so tightly that they can't tell who's where one person's 6 00:00:22,480 --> 00:00:27,560 Speaker 1: skin begins in the other. I balked you right into it, 7 00:00:28,320 --> 00:00:31,640 Speaker 1: just like Neil Gorsch walked right into that and then decided, 8 00:00:31,720 --> 00:00:34,920 Speaker 1: you know what, in for appendy, in for a pound 9 00:00:34,960 --> 00:00:38,640 Speaker 1: of um this is it could happen here. The podcast 10 00:00:38,960 --> 00:00:43,080 Speaker 1: about serious problems where we talk about them seriously, and 11 00:00:43,159 --> 00:00:47,200 Speaker 1: sometimes about the Supreme Court having a threesome like that, 12 00:00:48,120 --> 00:00:50,320 Speaker 1: like that, like that cruise ship where there was a 13 00:00:50,360 --> 00:00:53,520 Speaker 1: threesome and then a giant six fight. How's everybody doing today? 14 00:00:53,960 --> 00:00:55,520 Speaker 1: I think the opening will work better if we just 15 00:00:55,560 --> 00:01:00,200 Speaker 1: believe and yeah, yes, always bleep outcome uma of a 16 00:01:00,320 --> 00:01:04,759 Speaker 1: right there. So I I feel like today we should 17 00:01:04,920 --> 00:01:08,640 Speaker 1: chat about one of the many things that's that's a problem, 18 00:01:08,800 --> 00:01:12,399 Speaker 1: which is a specific piece of disinformation that is spreading 19 00:01:13,000 --> 00:01:16,319 Speaker 1: and not quite like wildfire. It's more spreading like in 20 00:01:16,400 --> 00:01:19,679 Speaker 1: the background, like monkey pops on the internet. This is 21 00:01:19,720 --> 00:01:23,680 Speaker 1: not like the number one piece of of of of 22 00:01:23,880 --> 00:01:27,440 Speaker 1: like conspiratorial nonsense that's getting around, but it's getting around deeply, 23 00:01:27,480 --> 00:01:29,040 Speaker 1: and I'm seeing it on the left and the right. 24 00:01:29,600 --> 00:01:31,560 Speaker 1: You have if you spend any time at all on 25 00:01:31,680 --> 00:01:36,679 Speaker 1: social media, which statistically you do, you've probably seen a 26 00:01:36,680 --> 00:01:41,680 Speaker 1: bunch of stories and like freaked out posts about fires 27 00:01:41,840 --> 00:01:47,200 Speaker 1: and arson at agricultural facilities and factories of food factories 28 00:01:47,280 --> 00:01:49,920 Speaker 1: is often how it's phrased. I think the post I 29 00:01:49,960 --> 00:01:53,040 Speaker 1: saw about it that was sort of most emblematic with 30 00:01:53,120 --> 00:01:56,600 Speaker 1: someone being like, hey, you know, uh, you're probably not 31 00:01:56,680 --> 00:02:00,400 Speaker 1: aware that some huge number of chickens died in fire 32 00:02:00,480 --> 00:02:03,480 Speaker 1: recently and a bunch of cows died in this field, 33 00:02:03,560 --> 00:02:05,440 Speaker 1: but if you were, it's the only thing you'd be 34 00:02:05,480 --> 00:02:10,480 Speaker 1: talking about. And the idea kind of that people are 35 00:02:10,480 --> 00:02:15,799 Speaker 1: pushing when they when they uh catastrophize this is that 36 00:02:16,360 --> 00:02:20,519 Speaker 1: there's this massive rash of attacks on American food infrastructure, 37 00:02:21,240 --> 00:02:24,480 Speaker 1: UM at a year when we're already due for a 38 00:02:24,520 --> 00:02:28,400 Speaker 1: food crisis because of the Ukraine, and um it's going 39 00:02:28,480 --> 00:02:31,680 Speaker 1: to be this this big like looming disaster and some 40 00:02:31,800 --> 00:02:35,160 Speaker 1: like shady group is trying to starve everybody. UM and 41 00:02:35,240 --> 00:02:39,520 Speaker 1: we've brought in a friend to talk about this because 42 00:02:39,560 --> 00:02:42,359 Speaker 1: it's it is not at all what what people who 43 00:02:42,360 --> 00:02:44,880 Speaker 1: are kind of catastrophizing or saying. Um, and I wanted 44 00:02:44,919 --> 00:02:47,799 Speaker 1: to introduce Carl to the show. Carl, how are you doing, buddy? 45 00:02:48,560 --> 00:02:54,320 Speaker 1: You know, living living life in a one party state? Yeah? Yay? Um, 46 00:02:54,440 --> 00:02:56,519 Speaker 1: I don't know, man. There's a lot of parties these days, 47 00:02:56,560 --> 00:02:59,600 Speaker 1: like the one on that cruise ship, uh so, or 48 00:02:59,800 --> 00:03:03,919 Speaker 1: the Forward Party, our our favorite, this is a big 49 00:03:04,000 --> 00:03:09,560 Speaker 1: Yang Gang podcast. Um. Now, Carl, you and I had 50 00:03:09,560 --> 00:03:11,720 Speaker 1: buddies on the old Twitter for a while. You were 51 00:03:11,960 --> 00:03:15,239 Speaker 1: the origin of one of the terms that that that 52 00:03:15,280 --> 00:03:20,040 Speaker 1: we use a lot on this show. Um. And uh yeah, 53 00:03:20,120 --> 00:03:22,040 Speaker 1: I wanted to I wanted to talk to you because 54 00:03:22,040 --> 00:03:25,160 Speaker 1: this is this is a pretty potent piece of weaponized 55 00:03:25,160 --> 00:03:29,200 Speaker 1: on reality. Um. You have been tracking this for a 56 00:03:29,200 --> 00:03:33,359 Speaker 1: while on kind of your own. Yeah. Well, this is 57 00:03:33,400 --> 00:03:36,200 Speaker 1: one of those ones that's it sits in between a 58 00:03:36,240 --> 00:03:39,680 Speaker 1: lot of the other conspiracies, right so, like you said, 59 00:03:40,120 --> 00:03:45,240 Speaker 1: it's it's kind of the background operating thing right now. Um. 60 00:03:46,040 --> 00:03:49,840 Speaker 1: And you know, so when we think of the big 61 00:03:49,840 --> 00:03:52,480 Speaker 1: conspiracies right now, they kind of revolve around what they 62 00:03:52,520 --> 00:03:56,320 Speaker 1: always did, right depopulation, weird n W. Well, like secret 63 00:03:56,360 --> 00:03:59,920 Speaker 1: society stuff, the Q the que brand of that. How 64 00:04:00,160 --> 00:04:01,760 Speaker 1: we want to look at this is a little bit 65 00:04:01,800 --> 00:04:07,840 Speaker 1: different because this is more overtly political, right, So this 66 00:04:07,920 --> 00:04:12,680 Speaker 1: is this is looking to not just dig the hole 67 00:04:12,800 --> 00:04:15,920 Speaker 1: of well, everyone's out to get us. Bill Gates is 68 00:04:15,960 --> 00:04:18,560 Speaker 1: buying all the farmland, you know, the crazy stuff we 69 00:04:18,640 --> 00:04:21,040 Speaker 1: normally I mean, you know that's right in this, but 70 00:04:21,080 --> 00:04:25,920 Speaker 1: it's not the center part um. And yeah, I've been 71 00:04:25,960 --> 00:04:29,919 Speaker 1: looking at this for a few months now since I 72 00:04:30,000 --> 00:04:32,400 Speaker 1: first saw it, and I first saw kind of traces 73 00:04:32,440 --> 00:04:37,560 Speaker 1: of this right after the invasion of Ukraine started, so 74 00:04:37,800 --> 00:04:43,080 Speaker 1: early March. Things started to kind of shift and nothing 75 00:04:43,520 --> 00:04:46,040 Speaker 1: you know, post here and there that are now missing, 76 00:04:46,120 --> 00:04:49,200 Speaker 1: stuff like that, the kind of classic well, let's test 77 00:04:49,200 --> 00:04:51,920 Speaker 1: the waters. Let's see how people accept the idea that 78 00:04:51,960 --> 00:04:55,440 Speaker 1: maybe something else you know, in the in the conspiratorial 79 00:04:55,480 --> 00:05:00,400 Speaker 1: way is going on just as exact exact. It's the 80 00:05:00,520 --> 00:05:03,440 Speaker 1: just asking questions, it's just well maybe think about it 81 00:05:03,600 --> 00:05:07,279 Speaker 1: kind of thing, and those those pique my interest because 82 00:05:07,279 --> 00:05:11,800 Speaker 1: those tend to be test balloons, and for this kind 83 00:05:11,800 --> 00:05:15,400 Speaker 1: of thing, I had a weird you know, they're weird feelings. 84 00:05:15,400 --> 00:05:17,040 Speaker 1: You kind of get when you watch some of this 85 00:05:17,279 --> 00:05:24,960 Speaker 1: as much as we do, yes, yeah, yeah, and you 86 00:05:25,040 --> 00:05:27,680 Speaker 1: can kind of sense when the thing has enough ingredients 87 00:05:27,720 --> 00:05:31,279 Speaker 1: to catch on exactly, and especially when they're super kind 88 00:05:31,279 --> 00:05:36,200 Speaker 1: of inflammatory ingredients, right, you know, the Bill Gates um 89 00:05:36,200 --> 00:05:38,839 Speaker 1: buying all the farmland is a good example, not quite 90 00:05:38,839 --> 00:05:42,520 Speaker 1: as inflammatory, but catches on because people, you know, it's 91 00:05:42,600 --> 00:05:47,039 Speaker 1: it's the social paradelia thing. There's always like, there's always this, 92 00:05:47,120 --> 00:05:49,120 Speaker 1: I mean, and this is something again that's a broader 93 00:05:49,120 --> 00:05:51,000 Speaker 1: through with conspiracies. There's always a germ of truth. The 94 00:05:51,000 --> 00:05:52,920 Speaker 1: germ of truth with that is that Bill Gates has 95 00:05:52,920 --> 00:05:55,159 Speaker 1: bought a lot of farmland. Now, if you compare it 96 00:05:55,200 --> 00:05:58,120 Speaker 1: to the total quantity of farmland he has bought, very 97 00:05:58,279 --> 00:06:01,160 Speaker 1: it's like, yeah, it's a friend point oh three percent 98 00:06:01,320 --> 00:06:03,360 Speaker 1: or something. I mean, it's an absolutely tiny amount of 99 00:06:03,440 --> 00:06:06,440 Speaker 1: the total, right yeah, Because this this country is I 100 00:06:06,480 --> 00:06:09,680 Speaker 1: don't know, if you've looked at him appsently pretty sizeable country, 101 00:06:09,839 --> 00:06:13,080 Speaker 1: the United States of America kind of a big place 102 00:06:13,720 --> 00:06:16,920 Speaker 1: when you actually look. Yeah, and so the kernel of 103 00:06:17,040 --> 00:06:21,680 Speaker 1: truth is there. There there are fires right there, industrial accidents, 104 00:06:21,760 --> 00:06:25,800 Speaker 1: there are weird stuff happens in big industrial situations. We 105 00:06:25,839 --> 00:06:29,080 Speaker 1: have a large industrial farming situation in this country. So 106 00:06:29,120 --> 00:06:32,000 Speaker 1: you see it. And I think part of what makes 107 00:06:32,160 --> 00:06:34,640 Speaker 1: the kind of the idea that oh, this is suddenly 108 00:06:34,680 --> 00:06:38,000 Speaker 1: happening and it's suddenly like a massive problem easier to 109 00:06:38,000 --> 00:06:41,480 Speaker 1: sell to people is that most Americans know next to 110 00:06:41,520 --> 00:06:43,760 Speaker 1: nothing about the food supply and how it works. Like 111 00:06:43,800 --> 00:06:46,679 Speaker 1: if you have because I grew up in and around farms, 112 00:06:46,680 --> 00:06:49,080 Speaker 1: I've been a lot of my life in agricultural areas. 113 00:06:49,880 --> 00:06:54,680 Speaker 1: Farms and things related to farms catch on fire fucking constantly. 114 00:06:55,200 --> 00:06:58,200 Speaker 1: It may not be yeah, they're they're like I think 115 00:06:58,200 --> 00:07:01,360 Speaker 1: they said there are five thousand annual, five thousand annually, 116 00:07:01,360 --> 00:07:06,080 Speaker 1: about fifteen a day. I mean, it's it's giant fields 117 00:07:06,080 --> 00:07:08,800 Speaker 1: of dried grain. It's stands of dried grain, and it's 118 00:07:08,839 --> 00:07:11,920 Speaker 1: ship like silos full of like flour and stuff, which 119 00:07:11,960 --> 00:07:17,200 Speaker 1: is like there's nothing like, yeah, silos explode like like 120 00:07:17,320 --> 00:07:21,520 Speaker 1: the like a a silo full of grain is slightly 121 00:07:21,680 --> 00:07:26,119 Speaker 1: less explosive than like a military like missile or some ship. 122 00:07:26,200 --> 00:07:29,280 Speaker 1: Like they're like they detonate if you catch them at 123 00:07:29,320 --> 00:07:31,680 Speaker 1: the right way exactly. And like I know here in 124 00:07:31,720 --> 00:07:33,960 Speaker 1: Minnesota a few years ago and there's video of a 125 00:07:34,000 --> 00:07:36,120 Speaker 1: floating around. You know, there was a you know, a 126 00:07:36,160 --> 00:07:39,960 Speaker 1: corn a corn silo split and the dust goes out 127 00:07:40,080 --> 00:07:42,520 Speaker 1: and something you know, a car or engine because it's hot, 128 00:07:42,600 --> 00:07:45,000 Speaker 1: sparks it off and it's a fireball. You know. So 129 00:07:45,120 --> 00:07:49,400 Speaker 1: these things happen, and I can remember. There was one 130 00:07:49,400 --> 00:07:51,520 Speaker 1: of the last things I saw and I went and 131 00:07:51,680 --> 00:07:54,320 Speaker 1: covered in Texas before I moved, was there's this little 132 00:07:54,360 --> 00:07:57,240 Speaker 1: town called West which is not in West Texas. It's 133 00:07:57,240 --> 00:08:01,840 Speaker 1: in North Texas. It's in between um Alice and Waco, 134 00:08:02,000 --> 00:08:05,680 Speaker 1: which is in between Dallas and Austin, because no, Waco 135 00:08:05,760 --> 00:08:09,120 Speaker 1: is not a destination. And they had this big god 136 00:08:09,200 --> 00:08:12,440 Speaker 1: it was some sort of what was the I'm gonna 137 00:08:12,440 --> 00:08:16,280 Speaker 1: google what the facility was, uh, but it was it 138 00:08:16,360 --> 00:08:19,920 Speaker 1: was this like, um, yeah, it was a fertilizer factory 139 00:08:20,080 --> 00:08:22,880 Speaker 1: and it caught on fire. There's a terrifying video of 140 00:08:22,880 --> 00:08:25,000 Speaker 1: this guy with his daughter watching it and it goes 141 00:08:25,160 --> 00:08:29,560 Speaker 1: off like like a fucking fuel air bomb. The massive exploit. 142 00:08:29,600 --> 00:08:33,080 Speaker 1: It killed the entire town's fire department, like all of 143 00:08:33,120 --> 00:08:38,560 Speaker 1: them dead in a second. I mean, it was basically 144 00:08:38,559 --> 00:08:43,120 Speaker 1: fucking anfo And because it happens this is like I think, um, 145 00:08:43,160 --> 00:08:45,600 Speaker 1: it never it's just this big tragedy. If it had 146 00:08:45,600 --> 00:08:47,480 Speaker 1: happened a couple of years later, there would have been 147 00:08:47,520 --> 00:08:51,080 Speaker 1: like a conspiracy attached to it. It was just, yeah, 148 00:08:51,240 --> 00:08:55,560 Speaker 1: it was just slightly too early. But like this ship happened. 149 00:08:55,559 --> 00:08:57,640 Speaker 1: I mean, the point of making is that, and that 150 00:08:57,679 --> 00:08:59,679 Speaker 1: we're making here is that like this ship happens all 151 00:08:59,720 --> 00:09:02,240 Speaker 1: the time time And to the numbers we were quoting earlier, 152 00:09:02,280 --> 00:09:07,000 Speaker 1: there's no evidence whatsoever that there are a higher number 153 00:09:07,200 --> 00:09:10,680 Speaker 1: of of these events this year than there ever are. 154 00:09:11,360 --> 00:09:13,760 Speaker 1: Basically one of the things that we've seen is as 155 00:09:13,800 --> 00:09:17,040 Speaker 1: of like the spring of this year, a list has 156 00:09:17,080 --> 00:09:21,520 Speaker 1: been compiled um mainly in places like Gateway, Pundit and 157 00:09:21,640 --> 00:09:25,040 Speaker 1: zero Hedge, where they've got like a hundred different events too, 158 00:09:25,320 --> 00:09:27,560 Speaker 1: and and it it looks very compelling when you just 159 00:09:27,559 --> 00:09:29,640 Speaker 1: see this list of and there's this fire, and this 160 00:09:29,720 --> 00:09:31,800 Speaker 1: many chickens died here, and this many cows died, and 161 00:09:31,800 --> 00:09:34,400 Speaker 1: there was this explosion. But again, if you actually look 162 00:09:34,440 --> 00:09:37,640 Speaker 1: at the number of events that are expected in a year, 163 00:09:37,679 --> 00:09:40,880 Speaker 1: there's nothing abnormal about this, and in fact, it's pretty 164 00:09:41,000 --> 00:09:44,319 Speaker 1: middle of the road for any year. And like the bird, 165 00:09:44,400 --> 00:09:47,480 Speaker 1: the bird calls right, like that's a great example of 166 00:09:47,520 --> 00:09:51,720 Speaker 1: this being just absolutely out of the park conspiracy land. 167 00:09:51,720 --> 00:09:54,960 Speaker 1: I mean, there's a massive avian flu epidemic going on 168 00:09:55,120 --> 00:09:58,440 Speaker 1: right now that's killed more birds, you know, than the 169 00:09:58,520 --> 00:10:02,000 Speaker 1: last ten years. And so when you start talking about 170 00:10:02,080 --> 00:10:04,520 Speaker 1: you know, three hundred you know, three hundred million birds 171 00:10:04,520 --> 00:10:10,800 Speaker 1: worldwide being called whatever the massive numbers. That funny how 172 00:10:10,840 --> 00:10:14,200 Speaker 1: avian flu does that, And that's a response. But when 173 00:10:14,280 --> 00:10:17,559 Speaker 1: you get into the zero hedge, who is really pushing 174 00:10:17,559 --> 00:10:20,640 Speaker 1: this right now world that's one of the top ones 175 00:10:20,679 --> 00:10:22,600 Speaker 1: on the list. And it also makes you know they 176 00:10:22,600 --> 00:10:24,560 Speaker 1: have their little maps up right now with all the 177 00:10:24,640 --> 00:10:28,360 Speaker 1: drop tabs that show right they love doing and there's 178 00:10:28,400 --> 00:10:30,839 Speaker 1: a you see this in other conspiracies. I think one 179 00:10:30,840 --> 00:10:33,560 Speaker 1: of the big ones that that kind of was a little, 180 00:10:33,720 --> 00:10:36,160 Speaker 1: i don't know, on the edge of of of getting 181 00:10:36,200 --> 00:10:39,800 Speaker 1: mainstream recently was like the conspiracy about people disappearing at 182 00:10:39,880 --> 00:10:48,720 Speaker 1: national parks, where it's like mapped, yeah exactly, like yeah, yeah, 183 00:10:48,800 --> 00:10:52,560 Speaker 1: and it's like yeah, man, um, people, there's three fifty 184 00:10:52,600 --> 00:10:55,600 Speaker 1: million people in the United States, like and also people 185 00:10:55,679 --> 00:10:57,960 Speaker 1: go missing while hiking, and one of the like a 186 00:10:57,960 --> 00:11:00,160 Speaker 1: bunch of stuff isn't on that list, like them of 187 00:11:00,160 --> 00:11:02,640 Speaker 1: those people who were found again, and what Exactly a 188 00:11:02,679 --> 00:11:04,920 Speaker 1: lot of people just like slip and fall and never 189 00:11:04,960 --> 00:11:08,720 Speaker 1: a seat again because they falled out a cliff. National 190 00:11:08,720 --> 00:11:11,079 Speaker 1: parks are kind of dangerous, funny enough once you're off, 191 00:11:11,320 --> 00:11:15,040 Speaker 1: that's why they're fun. Yeah, exactly, there was There was 192 00:11:15,040 --> 00:11:17,079 Speaker 1: a whole four wh one documentary made a few years 193 00:11:17,120 --> 00:11:19,160 Speaker 1: ago about this person who went missing, you like were 194 00:11:19,160 --> 00:11:22,120 Speaker 1: they were They dropped into a secret underground government bunker 195 00:11:22,160 --> 00:11:25,240 Speaker 1: where they abducted and they like a year later they 196 00:11:25,240 --> 00:11:27,560 Speaker 1: found his body at the bottom of a cliff. Yeah, 197 00:11:28,280 --> 00:11:30,520 Speaker 1: and like it it doesn't you know, that doesn't talk 198 00:11:30,559 --> 00:11:34,800 Speaker 1: about the horrible stuff done with like especially in Canada 199 00:11:34,880 --> 00:11:38,920 Speaker 1: with all of the missing Indigenous women. Is actually it 200 00:11:39,080 --> 00:11:41,640 Speaker 1: is actually a big problem. But I mean to back 201 00:11:41,679 --> 00:11:43,400 Speaker 1: to back to the fact, back to like the farming thing. 202 00:11:43,559 --> 00:11:45,839 Speaker 1: I think what all of these you know stories show 203 00:11:46,600 --> 00:11:50,080 Speaker 1: is just the innate holder of industrial farming. It's actually 204 00:11:50,160 --> 00:11:56,880 Speaker 1: the scary Yeah, yeah, it is absolutely scary, um, but 205 00:11:56,920 --> 00:12:00,520 Speaker 1: it's also like normal scary. Like the thing it's scary 206 00:12:00,600 --> 00:12:04,160 Speaker 1: is that the system of industrial farming is incredibly dangerous 207 00:12:04,160 --> 00:12:07,000 Speaker 1: and like, if you actually want to be properly horrified 208 00:12:07,040 --> 00:12:10,120 Speaker 1: about something relating to food, production. Look at how many 209 00:12:10,200 --> 00:12:13,160 Speaker 1: people die because they get sucked into bogs of pigshit 210 00:12:14,880 --> 00:12:17,800 Speaker 1: or drowning grain stile or drowning grain sile. I mean 211 00:12:17,840 --> 00:12:23,000 Speaker 1: people legit, whole families because one person will fall in 212 00:12:23,040 --> 00:12:24,920 Speaker 1: the grain silo and they'll try to get him out, 213 00:12:25,360 --> 00:12:28,360 Speaker 1: the whole families. I know, I know people who have 214 00:12:28,640 --> 00:12:30,880 Speaker 1: who have died that way because I grew up in 215 00:12:30,960 --> 00:12:35,440 Speaker 1: the very agricultural area. Yeah, a lot of this is 216 00:12:35,520 --> 00:12:38,120 Speaker 1: just like people don't know the country, but sharine, yes, 217 00:12:38,320 --> 00:12:41,440 Speaker 1: um so industrial. I mean like yeah for me, for me, 218 00:12:41,600 --> 00:12:45,800 Speaker 1: someone that hasn't growed up in any agricultural area at all, 219 00:12:45,880 --> 00:12:49,599 Speaker 1: and this is yeah, grain is like so it's like 220 00:12:49,679 --> 00:12:53,439 Speaker 1: quicksand it sucks you in. It takes you to that bottom. 221 00:12:53,600 --> 00:12:55,720 Speaker 1: If you don't spread out immediately, you're going down and 222 00:12:55,720 --> 00:12:59,080 Speaker 1: there's really no way to save somebody. It's stay stay 223 00:12:59,160 --> 00:13:02,520 Speaker 1: the funk away the grain silos. Do not play around 224 00:13:02,520 --> 00:13:06,400 Speaker 1: grain silos. With the grain silo. It is it is. 225 00:13:06,440 --> 00:13:08,640 Speaker 1: It is killed entire families because people will try to 226 00:13:08,679 --> 00:13:11,000 Speaker 1: save each other and then they get stucked down and 227 00:13:11,040 --> 00:13:24,600 Speaker 1: it's it's pretty Yeah, it's bad when you have livestock 228 00:13:24,840 --> 00:13:27,920 Speaker 1: livestock poop and sometimes that poop is super usful. Chicken 229 00:13:27,920 --> 00:13:29,840 Speaker 1: ships one of the best fertilizers ever. You can make 230 00:13:29,920 --> 00:13:33,720 Speaker 1: chicken ship very very useful. Pig shit is like nasty, 231 00:13:33,760 --> 00:13:36,560 Speaker 1: it's toxic. It is very hard to do anything. It's 232 00:13:37,640 --> 00:13:39,360 Speaker 1: once it's in the ground long enough, it's a bio 233 00:13:39,400 --> 00:13:42,360 Speaker 1: Well theoretically, if you were to like really care about it, 234 00:13:42,400 --> 00:13:44,760 Speaker 1: you could you could make a use of it given 235 00:13:44,880 --> 00:13:47,400 Speaker 1: enough time. But there's so many pigs because our hunger 236 00:13:47,400 --> 00:13:50,640 Speaker 1: for bacon is insatiable that you wind up with this 237 00:13:50,640 --> 00:13:53,760 Speaker 1: this massive tox of massive toxic sludge. So there's the 238 00:13:53,840 --> 00:13:55,560 Speaker 1: chunk of the country in which most of the pigs 239 00:13:55,600 --> 00:13:58,760 Speaker 1: come from. There are these huge pig shit bogs that 240 00:13:58,800 --> 00:14:02,160 Speaker 1: are like there are countries smaller than bogs of pigship 241 00:14:02,240 --> 00:14:04,240 Speaker 1: that we have in the United States. And people die 242 00:14:04,240 --> 00:14:05,920 Speaker 1: in them all the time. They get sucked down into 243 00:14:05,960 --> 00:14:09,480 Speaker 1: the big ship or you suffocate because you get one 244 00:14:09,480 --> 00:14:11,680 Speaker 1: of them bursts. I mean, there's so many weird things 245 00:14:11,679 --> 00:14:14,280 Speaker 1: because it's a meth their methane and hydrogen sulfide since 246 00:14:14,400 --> 00:14:18,720 Speaker 1: so it's just like bad things around farms all the time. 247 00:14:19,120 --> 00:14:23,280 Speaker 1: And that's just that's just farming and what we're ultimately 248 00:14:23,320 --> 00:14:24,960 Speaker 1: what we are seeing here if you want to like 249 00:14:25,040 --> 00:14:29,440 Speaker 1: actually analyze the thing that is happening, um with all 250 00:14:29,520 --> 00:14:32,880 Speaker 1: of these conspiracies, it's it's what's called the frequency illusion, 251 00:14:33,360 --> 00:14:35,880 Speaker 1: which is the idea that like if you've ever I 252 00:14:35,920 --> 00:14:38,080 Speaker 1: don't know, if somebody when somebody like teaches, like you 253 00:14:38,160 --> 00:14:40,200 Speaker 1: learn a new word, right, or you like you hear 254 00:14:40,240 --> 00:14:43,040 Speaker 1: about a historic event, and then you keep seeing everywhere. 255 00:14:45,520 --> 00:14:48,040 Speaker 1: This is something that's an author that Garrison and I 256 00:14:48,160 --> 00:14:50,920 Speaker 1: quite like Robert Anton Wilson played with a lot um. 257 00:14:50,920 --> 00:14:53,320 Speaker 1: It's why, like twenty three is one thing you'll notice 258 00:14:53,400 --> 00:14:56,120 Speaker 1: in like Hollywood movies and TV shows if you look 259 00:14:56,160 --> 00:14:58,840 Speaker 1: out for they're fucking everywhere because a whole bunch of 260 00:14:58,880 --> 00:15:01,240 Speaker 1: people who got into hollywo our fans of the same guy, 261 00:15:01,360 --> 00:15:03,800 Speaker 1: and there's this conspiracy with the number of twenty three 262 00:15:03,800 --> 00:15:05,840 Speaker 1: people sticking. It's all over the fucking wire. It's in 263 00:15:05,880 --> 00:15:09,720 Speaker 1: a bunch of ship um, and it's it's yeah, at 264 00:15:09,720 --> 00:15:13,040 Speaker 1: the base of things like right, humans are paradelium, right, 265 00:15:13,080 --> 00:15:16,200 Speaker 1: so we're looking for patterns and static that's what we do. 266 00:15:16,560 --> 00:15:18,520 Speaker 1: It's part like in my mind, it's part of our 267 00:15:18,600 --> 00:15:25,880 Speaker 1: like ancestral uh, you know, deep in the past protection, right, yeah, exactly, 268 00:15:26,000 --> 00:15:28,000 Speaker 1: it's that, and it's how you look for monsters in 269 00:15:28,040 --> 00:15:30,320 Speaker 1: the woods. You know, it's like when we're looking for 270 00:15:30,400 --> 00:15:33,840 Speaker 1: eyes in the dark. That's part of it. And so 271 00:15:34,320 --> 00:15:38,000 Speaker 1: you know, we tend to find meaning in points and 272 00:15:38,000 --> 00:15:40,600 Speaker 1: then try and connect them because that's how we work. 273 00:15:40,680 --> 00:15:43,840 Speaker 1: And so this is a great example of this because 274 00:15:43,840 --> 00:15:46,880 Speaker 1: it hasn't gone full Q level yet where it's just 275 00:15:48,400 --> 00:15:52,280 Speaker 1: absurd to be absurd. The shield itself, like you can 276 00:15:52,320 --> 00:15:55,960 Speaker 1: see where people are trying to pick together points that 277 00:15:56,280 --> 00:16:00,400 Speaker 1: normally are just industrial accidents. And know some of the 278 00:16:00,400 --> 00:16:03,600 Speaker 1: stuff I saw early on before, like the cow death 279 00:16:04,040 --> 00:16:07,360 Speaker 1: posts and the stuff related to climate change, what you 280 00:16:07,400 --> 00:16:12,160 Speaker 1: really were seeing was people trying to make order out 281 00:16:12,160 --> 00:16:18,520 Speaker 1: of what is just chaotic accidents and now and now yeah, yeah, no, 282 00:16:18,640 --> 00:16:23,720 Speaker 1: it's it's it's something you rarely actually see in the 283 00:16:23,800 --> 00:16:27,360 Speaker 1: cascade of you know, conspiracy theory like this so overtly, 284 00:16:28,040 --> 00:16:30,840 Speaker 1: and it's been really interesting for me watching that because 285 00:16:31,000 --> 00:16:34,920 Speaker 1: you know, as someone who's far too into watching people 286 00:16:35,160 --> 00:16:40,040 Speaker 1: melt their brains. Um. This this kind of lays out 287 00:16:40,200 --> 00:16:42,360 Speaker 1: some of the ways that this works for all of us, 288 00:16:43,200 --> 00:16:45,880 Speaker 1: UM and I think it also offers a roadmap in 289 00:16:45,920 --> 00:16:49,040 Speaker 1: certain ways to like see past it and be able 290 00:16:49,080 --> 00:16:51,800 Speaker 1: to correct it for yourself so you don't get into 291 00:16:51,800 --> 00:16:54,960 Speaker 1: the same Oh, there are a thousand points a light here, 292 00:16:55,040 --> 00:16:58,640 Speaker 1: let's fall all of them. Yeah, it's um one of 293 00:16:58,680 --> 00:17:02,640 Speaker 1: the things that's interesting. So we just called it the 294 00:17:02,640 --> 00:17:07,680 Speaker 1: the recency bias or the frequency illusions, also the recency illusion, 295 00:17:07,720 --> 00:17:10,040 Speaker 1: which is like the belief that things that you have 296 00:17:10,440 --> 00:17:13,800 Speaker 1: like noticed only recently are a recent phenomena rather than 297 00:17:13,840 --> 00:17:15,800 Speaker 1: things that go back a long time. There these are 298 00:17:15,840 --> 00:17:19,000 Speaker 1: kind of inter related. But this, this sort of phenomena 299 00:17:19,040 --> 00:17:23,320 Speaker 1: that we're seeing is often called the bottom mine off phenomena. 300 00:17:23,480 --> 00:17:26,800 Speaker 1: And that's so so the bottom I'm pretty yeah bottom 301 00:17:26,960 --> 00:17:29,960 Speaker 1: the bottom mine Off group was a it's also called 302 00:17:30,000 --> 00:17:33,080 Speaker 1: the German Red Army. Um, it was a Yeah, it 303 00:17:33,200 --> 00:17:38,880 Speaker 1: was a West German terrorist organization from like seventy years ago. 304 00:17:39,000 --> 00:17:42,159 Speaker 1: Like this is not a recent thing, but there was 305 00:17:42,480 --> 00:17:45,639 Speaker 1: an article about them in like a Minnesota St. Paul 306 00:17:45,880 --> 00:17:48,520 Speaker 1: newspaper in nineteen nine four that happened to be one 307 00:17:48,520 --> 00:17:53,200 Speaker 1: of the first newspapers with an online comment page. Oh no, 308 00:17:53,840 --> 00:17:56,600 Speaker 1: well yeah, so this is like you'll always here referred 309 00:17:56,600 --> 00:17:58,679 Speaker 1: to as the bottom minor phenomena. It has nothing to 310 00:17:58,680 --> 00:18:01,080 Speaker 1: do with this terrorist group than the fact that one 311 00:18:01,119 --> 00:18:05,200 Speaker 1: commenter on there saw an article about them um within 312 00:18:05,240 --> 00:18:07,680 Speaker 1: a couple of hours of someone else in their life 313 00:18:07,720 --> 00:18:10,160 Speaker 1: telling them about the group, and so they named it 314 00:18:10,400 --> 00:18:13,800 Speaker 1: in the common section the bottom mine off phenomena because yeah, 315 00:18:13,960 --> 00:18:17,360 Speaker 1: like it's it's which is an example of the phenomena UM. 316 00:18:18,119 --> 00:18:21,280 Speaker 1: But like that's it is. It is. It's a thing 317 00:18:21,320 --> 00:18:24,880 Speaker 1: that people do for again good reason, Like like you said, 318 00:18:24,920 --> 00:18:28,119 Speaker 1: like if you're a fucking hunter gatherer and you notice 319 00:18:28,160 --> 00:18:30,800 Speaker 1: that like, oh, after a rainstorm is when the big 320 00:18:30,840 --> 00:18:33,200 Speaker 1: cats come out and hunt. And like if somebody, if 321 00:18:33,240 --> 00:18:35,400 Speaker 1: one of your friends gets eaten by like a tiger, 322 00:18:35,720 --> 00:18:39,959 Speaker 1: it's probably after a rainstorm. You associate after the rainstorm 323 00:18:40,000 --> 00:18:43,359 Speaker 1: with danger, which is like good, right, Like I live 324 00:18:43,440 --> 00:18:47,840 Speaker 1: inside urban environments, the usually usually less. This becomes useful 325 00:18:48,240 --> 00:18:51,560 Speaker 1: as relating to more of our like instinctual practices. Yes, 326 00:18:52,440 --> 00:18:56,080 Speaker 1: learning to recognize this like first step of delusion is 327 00:18:56,119 --> 00:19:02,879 Speaker 1: really important UM decisions future, right, But I think it's 328 00:19:02,960 --> 00:19:05,480 Speaker 1: much more similar than we realized to like how people 329 00:19:05,480 --> 00:19:11,159 Speaker 1: think of religion, because even religions people are Yeah, like 330 00:19:11,200 --> 00:19:14,920 Speaker 1: what you're saying is like there's so much chaos. People 331 00:19:14,960 --> 00:19:17,040 Speaker 1: can't make sense of the world. And just like religion, 332 00:19:17,040 --> 00:19:20,040 Speaker 1: you're trying to make order out of disorder, and you 333 00:19:20,119 --> 00:19:21,959 Speaker 1: look for signs, to look for patterns. It's like an 334 00:19:22,000 --> 00:19:25,440 Speaker 1: element of magical thinking, where yes, you look for reasons 335 00:19:25,680 --> 00:19:30,760 Speaker 1: that this has meaning, so I understand where they're coming from. 336 00:19:30,960 --> 00:19:33,239 Speaker 1: And so the problem, again, the problem is not with 337 00:19:33,320 --> 00:19:35,800 Speaker 1: your brain, because this is not like a bad thing 338 00:19:35,840 --> 00:19:37,520 Speaker 1: your brain is doing. It's just a thing your brain 339 00:19:37,640 --> 00:19:40,879 Speaker 1: is doing. The problem is that this is one of 340 00:19:40,880 --> 00:19:44,560 Speaker 1: the easiest ways that bad faith actors can take advantage 341 00:19:44,560 --> 00:19:47,280 Speaker 1: of you and other people. And so in terms of 342 00:19:47,280 --> 00:19:51,000 Speaker 1: protecting yourself and others from it. And again, one of 343 00:19:51,040 --> 00:19:52,639 Speaker 1: the problems with this and one of the things that 344 00:19:52,720 --> 00:19:56,840 Speaker 1: makes it so so much more difficult twenty years ago 345 00:19:56,960 --> 00:19:59,440 Speaker 1: the batter mind how obviously the bottom mine how phenomenon 346 00:19:59,720 --> 00:20:01,280 Speaker 1: is much of a thing is that dude in the 347 00:20:01,320 --> 00:20:05,600 Speaker 1: fucking comments page that Minnesota paper proves. But there was 348 00:20:05,720 --> 00:20:08,320 Speaker 1: less ship coming at you, so you kind of had 349 00:20:08,400 --> 00:20:10,240 Speaker 1: even if you might get caught for a little bit 350 00:20:10,240 --> 00:20:12,200 Speaker 1: and they're like, oh, is there something weird going on 351 00:20:12,280 --> 00:20:16,080 Speaker 1: with this this German terrorist group? Um, you kind of 352 00:20:16,119 --> 00:20:19,000 Speaker 1: had the space in your head and the space in 353 00:20:19,040 --> 00:20:21,879 Speaker 1: your media diet to like actually parse that out and 354 00:20:21,960 --> 00:20:25,040 Speaker 1: calm down. But today it all comes with you with 355 00:20:25,119 --> 00:20:27,640 Speaker 1: a flood. There's like three new fucked Supreme Court decisions. 356 00:20:27,640 --> 00:20:29,720 Speaker 1: Oh and now all of the food factories are on 357 00:20:29,840 --> 00:20:32,199 Speaker 1: fire and all of the chickens are dead, and this 358 00:20:32,280 --> 00:20:35,480 Speaker 1: war in Ukraine is actually elevating the food prices, and 359 00:20:35,520 --> 00:20:39,119 Speaker 1: it all compounds on itself. If you when you start 360 00:20:39,520 --> 00:20:43,159 Speaker 1: seeing something new like this come into your media diet 361 00:20:43,200 --> 00:20:45,920 Speaker 1: that seems scary, one of the first things you should 362 00:20:45,960 --> 00:20:49,639 Speaker 1: do is just try to get a handle on the 363 00:20:49,800 --> 00:20:54,760 Speaker 1: raw numbers this Well, this is a complexity Yeah, you know, 364 00:20:54,960 --> 00:20:56,960 Speaker 1: you know, this is a complexity issue. That's how I 365 00:20:57,040 --> 00:20:58,879 Speaker 1: like to look at it. And that's exactly one of 366 00:20:58,920 --> 00:21:02,359 Speaker 1: the great ways to to kind of get disrupt the 367 00:21:02,560 --> 00:21:04,920 Speaker 1: complex nature of this and the amount of it you're 368 00:21:04,920 --> 00:21:07,720 Speaker 1: taking in is just to start breaking it down. Numbers 369 00:21:07,720 --> 00:21:09,920 Speaker 1: are great, right, Like, if you can look and see 370 00:21:09,920 --> 00:21:14,560 Speaker 1: their eighteen thou instances of industrial accidents leading to X, 371 00:21:14,680 --> 00:21:17,359 Speaker 1: Y or z and five thousand fires, you start to 372 00:21:17,400 --> 00:21:20,760 Speaker 1: really get yourself into a better position to understand what's 373 00:21:20,760 --> 00:21:23,680 Speaker 1: being thrown at you. Yeah, but I don't think most 374 00:21:23,680 --> 00:21:28,000 Speaker 1: people can actually understand what those numbers mean, Like they're 375 00:21:28,040 --> 00:21:30,119 Speaker 1: just like they're large numbers, But I don't think people 376 00:21:30,200 --> 00:21:32,480 Speaker 1: understand like that means a lot of that stuff is 377 00:21:32,520 --> 00:21:35,280 Speaker 1: happening versus just like one or two things you hear 378 00:21:35,280 --> 00:21:37,959 Speaker 1: about and you don't realize probability wise that it's like 379 00:21:38,000 --> 00:21:41,440 Speaker 1: insignificant because I don't think those numbers make sense. I 380 00:21:41,440 --> 00:21:44,000 Speaker 1: mean even to me sometimes I can't. I can't picture 381 00:21:44,160 --> 00:21:47,400 Speaker 1: so many things, So I think it's I don't know, 382 00:21:47,480 --> 00:21:50,359 Speaker 1: maybe it's just like a deficit and how our brains 383 00:21:50,359 --> 00:21:52,639 Speaker 1: would you be able to understand why the numbers exist. 384 00:21:52,680 --> 00:21:56,879 Speaker 1: But you can try to compare them two previous years, right, 385 00:21:56,920 --> 00:22:00,560 Speaker 1: you can't exactly you can't expand what you relating to. 386 00:22:00,680 --> 00:22:02,680 Speaker 1: Right if you're if you're looking from here's everything from 387 00:22:02,800 --> 00:22:06,359 Speaker 1: March to June two, you're like, whoa, this is a 388 00:22:06,359 --> 00:22:08,280 Speaker 1: lot of stuff just in these few months that if 389 00:22:08,280 --> 00:22:10,800 Speaker 1: you compare that to every preceding year for the past 390 00:22:10,760 --> 00:22:13,760 Speaker 1: five years, like, oh, this actually isn't a regular this 391 00:22:13,800 --> 00:22:16,240 Speaker 1: is this is this is still fucked up, but it's 392 00:22:16,240 --> 00:22:19,600 Speaker 1: actually kind of normalized. Um, and it's not it's not 393 00:22:20,320 --> 00:22:24,080 Speaker 1: an abnormal phenomenon right now. And so even if you 394 00:22:24,119 --> 00:22:26,359 Speaker 1: can't like understand what the numbers are, you can still 395 00:22:26,359 --> 00:22:29,080 Speaker 1: compare them to previous things. But but yeah, I mean 396 00:22:29,160 --> 00:22:31,359 Speaker 1: that does require more work than just like looking at 397 00:22:31,359 --> 00:22:33,200 Speaker 1: a meme, right. And the reason why this stuff works 398 00:22:33,240 --> 00:22:35,840 Speaker 1: is because people know how to exploit this part of 399 00:22:35,880 --> 00:22:39,000 Speaker 1: our brains really well. Not not not not not in 400 00:22:39,000 --> 00:22:43,160 Speaker 1: this part of this brain is useless, right, it has uses, um, 401 00:22:43,160 --> 00:22:46,360 Speaker 1: you can play with it, but it's also is exploitable. 402 00:22:46,520 --> 00:22:49,320 Speaker 1: And and that's the thing that you wanna be aware 403 00:22:49,359 --> 00:22:53,040 Speaker 1: of is trying to be cognizant of if the information 404 00:22:53,080 --> 00:22:56,959 Speaker 1: you're taking in is exploiting this pathway and then choosing 405 00:22:57,440 --> 00:23:01,000 Speaker 1: how how you want to be circumvent some of those 406 00:23:01,040 --> 00:23:03,520 Speaker 1: mental effects exactly well. And we have such I mean, 407 00:23:03,560 --> 00:23:06,120 Speaker 1: as humans, we have a real issue with this kind 408 00:23:06,160 --> 00:23:09,120 Speaker 1: of brain hacking. And it's something we're just all kind 409 00:23:09,119 --> 00:23:11,720 Speaker 1: of getting up to right now and understanding. And we 410 00:23:11,760 --> 00:23:14,199 Speaker 1: still don't fully understand some of this. But you know, 411 00:23:15,240 --> 00:23:17,840 Speaker 1: I UM, a lot of the stuff I I kind 412 00:23:17,840 --> 00:23:21,040 Speaker 1: of initially worked off of for the concept of weaponized 413 00:23:21,080 --> 00:23:24,280 Speaker 1: unreality kind of talks about social engineering in the way 414 00:23:24,320 --> 00:23:26,720 Speaker 1: that like freaking was done, and hacking back in the 415 00:23:26,800 --> 00:23:29,560 Speaker 1: day was done, and this is so similar to that 416 00:23:29,600 --> 00:23:32,280 Speaker 1: in certain ways that it's kind of shocking, right, Like 417 00:23:32,320 --> 00:23:36,520 Speaker 1: it's a conspiracy, but it's also a management tool, and 418 00:23:36,600 --> 00:23:39,240 Speaker 1: it's a it's a memory management and and you know, 419 00:23:39,320 --> 00:23:43,800 Speaker 1: ultimately a reality management tool and giving it numbers looking 420 00:23:43,840 --> 00:23:46,520 Speaker 1: at context like that does take time, but some of 421 00:23:46,560 --> 00:23:49,960 Speaker 1: these are like gonna gonna be hard and fast rules 422 00:23:49,960 --> 00:23:54,719 Speaker 1: probably going forward to like interact with the digital world, 423 00:23:54,800 --> 00:23:56,600 Speaker 1: because this is gonna be how it is for a 424 00:23:56,640 --> 00:24:09,160 Speaker 1: long while. There's a book that is kind of considered 425 00:24:09,200 --> 00:24:12,400 Speaker 1: to be like the foundational text or at least strategic 426 00:24:12,480 --> 00:24:16,679 Speaker 1: document Islamic State, called The Management of Savagery Um, and 427 00:24:16,680 --> 00:24:18,720 Speaker 1: the title gives away what what you're doing, right, you're 428 00:24:18,760 --> 00:24:22,480 Speaker 1: carrying out You're you're engaging in acts of savagery, terrorist 429 00:24:22,520 --> 00:24:25,720 Speaker 1: attacks that that that kill innocent people, that are that 430 00:24:25,760 --> 00:24:30,040 Speaker 1: exists to disrupt um the state that you're in in 431 00:24:30,160 --> 00:24:33,320 Speaker 1: order to and you're attempting to like you're attempting to 432 00:24:33,400 --> 00:24:36,960 Speaker 1: build kind of a melieu of savagery, which then provides 433 00:24:36,960 --> 00:24:39,880 Speaker 1: you the opportunity to take an exert power. And what 434 00:24:39,880 --> 00:24:43,880 Speaker 1: we're seeing here is like the Management of cognitive biases, right, exactly, 435 00:24:44,080 --> 00:24:48,560 Speaker 1: the management of like these weird little evolutionary holdovers in 436 00:24:48,600 --> 00:24:53,280 Speaker 1: your brain. Um that that don't quite work in the 437 00:24:53,320 --> 00:24:57,399 Speaker 1: modern world. But if you understand what what's happening, you 438 00:24:57,440 --> 00:24:59,680 Speaker 1: can take advantage of them, and you can you can 439 00:24:59,720 --> 00:25:02,720 Speaker 1: trick people into thinking things are happening that aren't. It's 440 00:25:02,760 --> 00:25:05,440 Speaker 1: the same, you know, you can see this. The right 441 00:25:05,520 --> 00:25:07,639 Speaker 1: does this very effectively and a lot of the anti 442 00:25:07,680 --> 00:25:11,800 Speaker 1: trans stuff they've been doing absolutely obviously with gay you know, 443 00:25:11,880 --> 00:25:14,080 Speaker 1: if you look at the population trans and of gay people, 444 00:25:14,440 --> 00:25:17,919 Speaker 1: some number of people in that community are going to 445 00:25:18,000 --> 00:25:21,000 Speaker 1: do things that are bad, right, because it's a population 446 00:25:21,040 --> 00:25:24,960 Speaker 1: of human beings, um, and because the country is large enough. 447 00:25:25,000 --> 00:25:27,879 Speaker 1: If you get people hyper focused on here's a story, 448 00:25:27,920 --> 00:25:30,119 Speaker 1: here's another story, here's two, here's three stories. Now is 449 00:25:30,160 --> 00:25:32,240 Speaker 1: that does that mean that there's any kind of actual 450 00:25:32,280 --> 00:25:35,600 Speaker 1: systemic problem. No. Um, that community is no more likely 451 00:25:35,640 --> 00:25:37,800 Speaker 1: to do things that are bad than any other community. 452 00:25:37,960 --> 00:25:40,120 Speaker 1: But if you get people focused on each of those 453 00:25:40,119 --> 00:25:43,600 Speaker 1: stories in their head, they feel like there's they feel 454 00:25:43,640 --> 00:25:45,520 Speaker 1: like there's an epidemic, and like, well, we have to 455 00:25:45,600 --> 00:25:47,440 Speaker 1: get a handle. It's the same thing that that gets 456 00:25:47,480 --> 00:25:50,280 Speaker 1: done with like Islamic terrorism right where it's like, yes, 457 00:25:50,359 --> 00:25:53,480 Speaker 1: since nine eleven, actually not that many acts of Islamic 458 00:25:53,560 --> 00:25:56,600 Speaker 1: terrorism in the United States, extremely fucking uncommon, much less 459 00:25:56,600 --> 00:26:00,159 Speaker 1: common than right wing terrorism like homegrown terrorism. But the 460 00:26:00,240 --> 00:26:03,159 Speaker 1: media doesn't really cover one of those kinds of terrorism 461 00:26:03,240 --> 00:26:05,440 Speaker 1: and loves to cover the other. So you get people 462 00:26:05,480 --> 00:26:08,960 Speaker 1: periodically tricked into thinking that they're under direct threat from 463 00:26:08,960 --> 00:26:11,720 Speaker 1: the Islamic state or whatever. The fun right, well, and 464 00:26:11,760 --> 00:26:13,640 Speaker 1: I think it's you know, I think going to that 465 00:26:13,720 --> 00:26:16,080 Speaker 1: point right like, it's almost U I mean, it's a 466 00:26:16,119 --> 00:26:19,480 Speaker 1: reality filter, right, so, like it's a way to selectively 467 00:26:19,600 --> 00:26:22,640 Speaker 1: filter out things that would counter the narrative that you're 468 00:26:22,720 --> 00:26:25,879 Speaker 1: trying to overall push. And I think that that's something 469 00:26:26,240 --> 00:26:28,760 Speaker 1: that's what's interesting me about this in a lot of 470 00:26:28,800 --> 00:26:32,080 Speaker 1: ways is that we're seeing a filter being set up 471 00:26:32,119 --> 00:26:35,240 Speaker 1: that only allows people into one lane of this thought. 472 00:26:35,920 --> 00:26:38,240 Speaker 1: And we've seen what the end result of that is 473 00:26:38,280 --> 00:26:42,560 Speaker 1: with radicalization and things that come along with these kind 474 00:26:42,560 --> 00:26:46,919 Speaker 1: of conspiracies. But it's really it's been very wild to 475 00:26:46,960 --> 00:26:51,000 Speaker 1: watch since the you know, the nineteen April till now 476 00:26:51,520 --> 00:26:54,080 Speaker 1: where we're seeing it. You know, Serovich is doing it 477 00:26:54,160 --> 00:26:56,680 Speaker 1: every any one of the guys you can think was 478 00:26:56,760 --> 00:27:00,000 Speaker 1: doing it. Yeah, exactly. Tucker ran a couple of things 479 00:27:00,160 --> 00:27:02,800 Speaker 1: on this and kind of interspersed it with his you know, 480 00:27:02,880 --> 00:27:06,239 Speaker 1: white male virility ship. It's we're we're we're in a 481 00:27:06,240 --> 00:27:08,639 Speaker 1: weird place where these are starting to be able to 482 00:27:08,640 --> 00:27:11,880 Speaker 1: be played with and on each other, and that kind 483 00:27:11,920 --> 00:27:16,400 Speaker 1: of filtering, you know, starts to get people onboarded from 484 00:27:16,400 --> 00:27:20,119 Speaker 1: a conspiracy into you know, what we're seeing now is 485 00:27:20,200 --> 00:27:23,680 Speaker 1: kind of the white nationalist Christian nationalist movement. That's that's 486 00:27:23,760 --> 00:27:28,800 Speaker 1: become that that thing, and you know, for me, that's 487 00:27:28,800 --> 00:27:31,199 Speaker 1: where my interest stems from because of this idea of 488 00:27:31,200 --> 00:27:34,680 Speaker 1: weaponizing on reality, seeing what happened in Russia when that happened, 489 00:27:35,160 --> 00:27:37,480 Speaker 1: and seeing this kind of thing which is so similar 490 00:27:37,800 --> 00:27:42,040 Speaker 1: to that filtering and that narrative shift and building that 491 00:27:42,119 --> 00:27:46,879 Speaker 1: goes on in that world. It's it's been you know, 492 00:27:47,040 --> 00:27:49,639 Speaker 1: staring into a void feels bad. Sometimes this is just 493 00:27:49,680 --> 00:27:52,880 Speaker 1: one where it's like, oh, this is terrible, and it's 494 00:27:52,960 --> 00:27:54,760 Speaker 1: just the beginning of it. Every once in a while, 495 00:27:54,840 --> 00:27:57,600 Speaker 1: the void stares back and you're like, oh boy, oh 496 00:27:57,680 --> 00:28:00,280 Speaker 1: yeah no, And that's exactly I mean, that's uh, that's 497 00:28:00,320 --> 00:28:02,399 Speaker 1: the problem is sometimes it just stars you right in 498 00:28:02,440 --> 00:28:05,880 Speaker 1: the eyes and tells you, yeah, I'm here, and that's 499 00:28:05,880 --> 00:28:09,920 Speaker 1: a bad feeling. Yeah, well, I think that's more or 500 00:28:10,000 --> 00:28:13,159 Speaker 1: less what we needed to talk. That would be like, 501 00:28:13,320 --> 00:28:15,000 Speaker 1: you know, like one of the one of the ways 502 00:28:15,040 --> 00:28:17,680 Speaker 1: to combat this, if you can, is honestly, creating your 503 00:28:17,720 --> 00:28:21,760 Speaker 1: own memetic graphs is really useful because these things spread 504 00:28:21,800 --> 00:28:26,399 Speaker 1: so fast when they're in images of dates and instances 505 00:28:26,680 --> 00:28:30,040 Speaker 1: spread like wildfire. Um So if you can make your 506 00:28:30,080 --> 00:28:33,399 Speaker 1: own which compares it to previous years, say hey, this 507 00:28:33,480 --> 00:28:35,879 Speaker 1: actually isn't a new pattern, this is something that's this 508 00:28:35,960 --> 00:28:38,840 Speaker 1: is this is just what happens in industrial farming. I 509 00:28:38,880 --> 00:28:42,440 Speaker 1: think spreading it via memetic images is one of the 510 00:28:43,320 --> 00:28:45,600 Speaker 1: if there is a way to combat it, that's probably 511 00:28:45,640 --> 00:28:48,160 Speaker 1: one of the core ways to go about it, just 512 00:28:48,160 --> 00:28:51,560 Speaker 1: to get how fast those things spread. Again, you can 513 00:28:51,600 --> 00:28:54,040 Speaker 1: see I've seen some useful people have been trying to 514 00:28:54,080 --> 00:28:56,600 Speaker 1: push back against, you know, this idea that there's been 515 00:28:56,600 --> 00:28:59,800 Speaker 1: this like massive crime surge in San Francisco and stuff, 516 00:28:59,800 --> 00:29:03,360 Speaker 1: and they it's uses the same tactics, Right, You have 517 00:29:03,440 --> 00:29:06,080 Speaker 1: like a couple of videos of people shoplifting or something, 518 00:29:06,120 --> 00:29:08,360 Speaker 1: and then you make a and and is there is 519 00:29:08,440 --> 00:29:11,080 Speaker 1: that kind of crime actually up well no it really isn't, 520 00:29:11,080 --> 00:29:14,680 Speaker 1: but like it doesn't matter because um or is it 521 00:29:14,720 --> 00:29:16,720 Speaker 1: any higher there than it is in some place like 522 00:29:16,800 --> 00:29:19,520 Speaker 1: Duluth where no videos are coming out, like no it's not, 523 00:29:20,080 --> 00:29:23,800 Speaker 1: but um it's uh. If you have to be aware, 524 00:29:23,960 --> 00:29:25,400 Speaker 1: the first thing you have to be aware of is 525 00:29:25,440 --> 00:29:27,920 Speaker 1: the phenomena is like the way in which they're taking 526 00:29:27,920 --> 00:29:31,520 Speaker 1: advantage of you, and then you have to you have 527 00:29:31,560 --> 00:29:33,239 Speaker 1: to kind of deter and you have to use the 528 00:29:33,280 --> 00:29:35,600 Speaker 1: tactics they're using against them. And one of the things 529 00:29:35,600 --> 00:29:39,040 Speaker 1: that is effective is these these graphs with kind of 530 00:29:39,080 --> 00:29:42,080 Speaker 1: like numbers and dates and ship on them. People love 531 00:29:42,360 --> 00:29:47,680 Speaker 1: to feel like they're looking at research. But yeah, at 532 00:29:47,680 --> 00:29:50,160 Speaker 1: the same time though not to not to be like, 533 00:29:50,640 --> 00:29:53,760 Speaker 1: I don't know negative about this at all, but in 534 00:29:53,800 --> 00:29:56,560 Speaker 1: my mind, this is like a modern day version of 535 00:29:56,600 --> 00:29:59,040 Speaker 1: someone starting your religion and make people like making the 536 00:29:59,040 --> 00:30:01,840 Speaker 1: sheep of a sl following and then having them turn 537 00:30:01,880 --> 00:30:04,560 Speaker 1: into like whatever it is, whether it's Christian nationalism or whatever. 538 00:30:05,000 --> 00:30:07,800 Speaker 1: But just like in religion, if people are presented with science, 539 00:30:07,800 --> 00:30:09,920 Speaker 1: they don't care you know what I mean, you will 540 00:30:09,960 --> 00:30:12,640 Speaker 1: present them with like, I don't know. There's some people 541 00:30:12,640 --> 00:30:15,280 Speaker 1: that I think are be it's it's it's it's not science. 542 00:30:15,280 --> 00:30:19,479 Speaker 1: It's about everyone wants to have access to special, secret 543 00:30:19,520 --> 00:30:23,080 Speaker 1: and secret knowledge. Everyone wants to have esoteric knowledge that 544 00:30:23,120 --> 00:30:25,520 Speaker 1: no one else has. So these graphs are still compelling 545 00:30:25,560 --> 00:30:27,400 Speaker 1: in the first place because you're like, oh, no one 546 00:30:27,440 --> 00:30:29,280 Speaker 1: else knows all of these things. No one else has 547 00:30:29,320 --> 00:30:30,960 Speaker 1: laid it out in this manner. So if you can 548 00:30:31,000 --> 00:30:34,440 Speaker 1: present your information in that same style, say, hey, no 549 00:30:34,480 --> 00:30:36,960 Speaker 1: one knows that this is actually part of this overall 550 00:30:37,040 --> 00:30:39,640 Speaker 1: thing that's been going on for years and it's about 551 00:30:39,680 --> 00:30:42,760 Speaker 1: industrial farming, then you hope that that will spread. That 552 00:30:42,920 --> 00:30:45,680 Speaker 1: then that spreads because because it infects the same point 553 00:30:45,720 --> 00:30:48,720 Speaker 1: in someone's brain. Right want to we want to feel smart, 554 00:30:48,800 --> 00:30:50,560 Speaker 1: we want to feel unique, we want to have like 555 00:30:50,760 --> 00:30:53,600 Speaker 1: esoteric knowledge. So if you can, if you can frame 556 00:30:53,640 --> 00:30:57,360 Speaker 1: it to to fit that same mold, then it's not science. 557 00:30:57,400 --> 00:31:00,200 Speaker 1: It's just playing with the same tactics that God them 558 00:31:00,240 --> 00:31:05,840 Speaker 1: convinced of this in the first place, exactly. People, that's different. Yeah, 559 00:31:05,920 --> 00:31:08,880 Speaker 1: I think I think Sharine, like it's true that like 560 00:31:08,960 --> 00:31:12,120 Speaker 1: if somebody is a committed believer in in whatever, like 561 00:31:12,120 --> 00:31:16,160 Speaker 1: like Mike Cernovitch or something, you're not convincing them the 562 00:31:16,600 --> 00:31:19,040 Speaker 1: danger the thing that they're doing that's dangerous is there. 563 00:31:19,080 --> 00:31:21,720 Speaker 1: They're quote unquote pilling a lot of like random people 564 00:31:21,720 --> 00:31:26,000 Speaker 1: into problems that scares those people. And when those people 565 00:31:26,080 --> 00:31:29,640 Speaker 1: get scared, they're willing to accept ship they wouldn't otherwise scare. 566 00:31:29,680 --> 00:31:34,080 Speaker 1: And I think those people you can push get to 567 00:31:34,160 --> 00:31:36,760 Speaker 1: step down from the ledge because one thing we do 568 00:31:36,840 --> 00:31:39,000 Speaker 1: want this is also a problem. But like you think 569 00:31:39,000 --> 00:31:41,560 Speaker 1: about like climate change, right, and how much of the 570 00:31:41,600 --> 00:31:44,800 Speaker 1: denial of climate change is not based around getting people 571 00:31:44,840 --> 00:31:48,680 Speaker 1: to reject the idea entirely, but getting like when people 572 00:31:48,680 --> 00:31:51,200 Speaker 1: bring up a specific problem being like, well but look 573 00:31:51,200 --> 00:31:54,240 Speaker 1: at this weird new piece of technology that some kid developed, 574 00:31:54,240 --> 00:31:55,640 Speaker 1: and like this is going to fix it, and then 575 00:31:55,680 --> 00:31:58,400 Speaker 1: you get to not worry about it. Right, So if 576 00:31:58,480 --> 00:32:02,120 Speaker 1: somebody suddenly starts speaking out about agricultural fires for the 577 00:32:02,120 --> 00:32:04,280 Speaker 1: first time and you're like, actually, they're lower than they 578 00:32:04,320 --> 00:32:07,640 Speaker 1: are in normal years, this isn't a problem, then maybe 579 00:32:07,640 --> 00:32:09,880 Speaker 1: their brain, maybe you can get their brain to go like, Okay, 580 00:32:09,920 --> 00:32:12,000 Speaker 1: that I won't worry about that because I don't want 581 00:32:12,040 --> 00:32:15,800 Speaker 1: more things to worry about. I just have been given them. Um, 582 00:32:15,840 --> 00:32:20,440 Speaker 1: that's targeting the ledge people we're talking. Yeah, you're not 583 00:32:20,480 --> 00:32:22,840 Speaker 1: getting to true believers. You're not getting to true believers 584 00:32:22,880 --> 00:32:24,600 Speaker 1: at this point of any of this stuff for the 585 00:32:24,640 --> 00:32:27,360 Speaker 1: most part. You know, that takes a wholly different level 586 00:32:27,400 --> 00:32:29,560 Speaker 1: of work. I mean, that's that's in the ballpark in 587 00:32:29,600 --> 00:32:32,240 Speaker 1: my mind of the radicalization, right, Like you're you're in 588 00:32:32,280 --> 00:32:35,280 Speaker 1: a wholly different ballpark. And if you can target the 589 00:32:35,280 --> 00:32:37,760 Speaker 1: people who are thinking about jumping into the pool too, 590 00:32:38,560 --> 00:32:42,200 Speaker 1: they tend to if you do change their mind, they 591 00:32:42,240 --> 00:32:46,240 Speaker 1: become some of the biggest proponents of trying to get 592 00:32:46,240 --> 00:32:49,480 Speaker 1: other people off the ledge that they might know. And 593 00:32:49,560 --> 00:32:55,960 Speaker 1: that's something something well, it's something, yeah, it's it's it's 594 00:32:56,040 --> 00:32:58,560 Speaker 1: it's very similar. And it's something I've seen even in 595 00:32:58,640 --> 00:33:00,920 Speaker 1: my friends circles, you know, talk to people who five 596 00:33:01,000 --> 00:33:04,040 Speaker 1: years ago, we're fully you know, in the all let's 597 00:33:04,040 --> 00:33:06,800 Speaker 1: do Donald Trump for the lulls thing. You know. Now 598 00:33:06,920 --> 00:33:08,960 Speaker 1: those are the same people who are telling their friends, 599 00:33:09,000 --> 00:33:12,560 Speaker 1: oh shit, we have a Christian nationalist movement that's trying 600 00:33:12,600 --> 00:33:15,280 Speaker 1: to overthrow democracy. And that's a huge you know, like 601 00:33:15,320 --> 00:33:19,800 Speaker 1: that's a huge help um to everyone. Right, you want 602 00:33:19,840 --> 00:33:22,560 Speaker 1: more people saying the truth to people who might not 603 00:33:22,680 --> 00:33:27,520 Speaker 1: hear it from someone like us um and can internalize it. 604 00:33:28,320 --> 00:33:32,960 Speaker 1: And there's you know, the truth takes a lot more 605 00:33:33,000 --> 00:33:36,960 Speaker 1: work than fiction, unfortunately, but once it starts to work, 606 00:33:37,240 --> 00:33:41,080 Speaker 1: it's a compounding thing. And the truth tends to really 607 00:33:41,160 --> 00:33:44,480 Speaker 1: set people free. As corny as that is. If people 608 00:33:44,520 --> 00:33:47,960 Speaker 1: find out they've been lied to, they get they want 609 00:33:48,000 --> 00:33:50,480 Speaker 1: to know why it worked, and that works in our 610 00:33:50,480 --> 00:33:54,960 Speaker 1: favor and the truth's favor, and reality is the thing 611 00:33:55,000 --> 00:33:57,280 Speaker 1: we you know, we gotta protect this at all costs 612 00:33:57,400 --> 00:34:02,640 Speaker 1: because we're getting title weight by unreality and that's a 613 00:34:02,680 --> 00:34:07,560 Speaker 1: problem for all of us for different reasons. Let's the 614 00:34:07,600 --> 00:34:11,360 Speaker 1: more uplifting note I think than a couple of minutes ago. Yeah, 615 00:34:12,480 --> 00:34:18,960 Speaker 1: all right, well there there we go. Um go, I 616 00:34:19,000 --> 00:34:23,799 Speaker 1: don't know, fix it. Yeah, go fix things. Yeah, go 617 00:34:23,920 --> 00:34:27,879 Speaker 1: fix things. Don't go swimming in grain silos, and uh, 618 00:34:27,880 --> 00:34:36,040 Speaker 1: avoid grain silos. Always avoid grain silos. It could happen 619 00:34:36,040 --> 00:34:38,399 Speaker 1: here as a production of cool Zone Media, but more 620 00:34:38,400 --> 00:34:41,200 Speaker 1: podcast from cool Zone Media. Visit our website cool zone 621 00:34:41,239 --> 00:34:43,080 Speaker 1: Media dot com, or check us out on the I 622 00:34:43,160 --> 00:34:46,480 Speaker 1: Heart radio app, Apple Podcasts, or wherever you listen to podcasts. 623 00:34:47,000 --> 00:34:49,160 Speaker 1: You can find sources for It could Happen here, updated 624 00:34:49,200 --> 00:34:52,680 Speaker 1: monthly at cool Zone, Media, dot com, slash sources, thanks 625 00:34:52,719 --> 00:34:53,240 Speaker 1: for listening.