1 00:00:00,360 --> 00:00:04,200 Speaker 1: What is the Great Reset and why is the World 2 00:00:04,200 --> 00:00:08,360 Speaker 1: Economic Forum pushing it? What should you know about the 3 00:00:08,360 --> 00:00:13,200 Speaker 1: World Economic Forum? I think by now everyone saw during 4 00:00:13,440 --> 00:00:16,800 Speaker 1: COVID as well as with this Green Agenda that all 5 00:00:16,800 --> 00:00:20,040 Speaker 1: of these countries are pushing seems to be a lot 6 00:00:20,079 --> 00:00:24,360 Speaker 1: more authoritarians in the Western world. We we were supposed 7 00:00:24,400 --> 00:00:27,680 Speaker 1: to be democracies, we were supposed to be free countries. 8 00:00:27,760 --> 00:00:30,080 Speaker 1: But from Justin Trudeau in Canada to here in the 9 00:00:30,160 --> 00:00:34,760 Speaker 1: United States with Joe Biden, I almost forgot the dude's name. 10 00:00:34,880 --> 00:00:37,319 Speaker 1: I wish he didn't exist, But here we are. So 11 00:00:37,920 --> 00:00:42,360 Speaker 1: Joe Biden, uh their dictators right, He's trying to take 12 00:00:42,440 --> 00:00:46,640 Speaker 1: us from a previously free constitutional republic to uh, a 13 00:00:46,680 --> 00:00:50,400 Speaker 1: banana republic. And that's where we are. So we're gonna 14 00:00:50,440 --> 00:00:52,920 Speaker 1: get into all of these questions about the Great Reset 15 00:00:52,920 --> 00:00:54,880 Speaker 1: and the World Economic Forum with the guy who has 16 00:00:54,920 --> 00:01:00,400 Speaker 1: a docuseries about it. He's a filmmaker with Rebel News. 17 00:01:00,480 --> 00:01:03,800 Speaker 1: His name is Keian Simone and he's out with this 18 00:01:03,880 --> 00:01:08,759 Speaker 1: huge docuseries exposing the Great Resset going into detail. One 19 00:01:08,760 --> 00:01:12,080 Speaker 1: of the documentaries is about the technological reset and how 20 00:01:12,120 --> 00:01:14,600 Speaker 1: a lot of these guys are trying to use technology 21 00:01:14,680 --> 00:01:17,120 Speaker 1: to control human behavior. And you might say, hey, that 22 00:01:17,240 --> 00:01:19,440 Speaker 1: sounds a little crazy, but you know, does it. I mean, 23 00:01:19,480 --> 00:01:24,120 Speaker 1: look at the health passes and in countries around the 24 00:01:24,160 --> 00:01:28,600 Speaker 1: world and using that to to control behavior, to deny access, 25 00:01:28,720 --> 00:01:30,760 Speaker 1: to to follow people, to track people, to figure out 26 00:01:30,800 --> 00:01:34,720 Speaker 1: who else you are around. And if you watch the docuseries, 27 00:01:35,080 --> 00:01:37,880 Speaker 1: it's putting a lot of these people in their own voices, 28 00:01:39,040 --> 00:01:40,840 Speaker 1: just playing clips from a lot of these things that 29 00:01:40,920 --> 00:01:43,280 Speaker 1: these individuals who are tied to the world Economic form 30 00:01:43,319 --> 00:01:46,160 Speaker 1: are saying in their own words about their agenda, about 31 00:01:46,160 --> 00:01:48,400 Speaker 1: what they want to do about their goals, their ambitions 32 00:01:48,440 --> 00:01:52,560 Speaker 1: for not just their country but the world. So with that, 33 00:01:53,520 --> 00:01:58,200 Speaker 1: I hope you enjoy this conversation with Keian Simone, who 34 00:01:58,280 --> 00:02:11,960 Speaker 1: put together the docuseries on the Great Reset. Listen. So 35 00:02:12,280 --> 00:02:15,120 Speaker 1: we've got Ken Simony. I think I finally got it. 36 00:02:15,160 --> 00:02:17,200 Speaker 1: We're working. I was trying to make sure Ken that 37 00:02:17,240 --> 00:02:20,120 Speaker 1: I said the name correctly. I tend to butcher things, 38 00:02:20,160 --> 00:02:23,040 Speaker 1: So I think I finally got it right. We're yea 39 00:02:23,240 --> 00:02:27,560 Speaker 1: perfect okay. So you so you are are your filmmaker 40 00:02:27,680 --> 00:02:30,400 Speaker 1: for Rebel News And I saw this on my Instagram 41 00:02:30,400 --> 00:02:32,880 Speaker 1: and I watched a first couple of the episodes. Full 42 00:02:32,880 --> 00:02:35,560 Speaker 1: disclosure for the folks listening. You know, we're recording this 43 00:02:35,600 --> 00:02:37,040 Speaker 1: a little bit early. I'm not sure we're going to 44 00:02:37,120 --> 00:02:39,679 Speaker 1: put it out. I had, you know, set plans for 45 00:02:39,760 --> 00:02:42,440 Speaker 1: the schedule for the podcast releasing, and then the FBI 46 00:02:42,520 --> 00:02:45,280 Speaker 1: decided to raid Trump. So here we are. But you've 47 00:02:45,280 --> 00:02:49,640 Speaker 1: got this great docuseries on the World Economic Forum? Uh 48 00:02:49,840 --> 00:02:52,079 Speaker 1: why why had you decided to put this together? What 49 00:02:52,240 --> 00:02:54,440 Speaker 1: spurred it for you? Yeah, I mean there's a long 50 00:02:54,480 --> 00:02:56,240 Speaker 1: story and there's short story that I guessed to do 51 00:02:56,280 --> 00:02:59,480 Speaker 1: a short story first. Um, no one else is doing it. 52 00:02:59,480 --> 00:03:02,240 Speaker 1: It's when when you google this kind of stuff, you'll 53 00:03:02,240 --> 00:03:06,799 Speaker 1: see some um, pretty wacky stuff on on platforms that 54 00:03:06,840 --> 00:03:08,840 Speaker 1: aren't aren't YouTube, and then when you go to YouTube, 55 00:03:08,840 --> 00:03:12,240 Speaker 1: you'll just see weird vloggers talking about it. So I'm 56 00:03:12,280 --> 00:03:15,920 Speaker 1: I was like, let's make something highly produced, that's make 57 00:03:16,000 --> 00:03:19,840 Speaker 1: something digestible for younger people and for quote unquote normies 58 00:03:19,880 --> 00:03:22,680 Speaker 1: that that can really get into the gist of of 59 00:03:22,720 --> 00:03:26,840 Speaker 1: what the World Economic Forum is. Um. I really started 60 00:03:26,840 --> 00:03:29,000 Speaker 1: from when my dad got me the book that Cluster 61 00:03:29,120 --> 00:03:31,520 Speaker 1: All Broke COVID nineteen, The Great Reset, and I never 62 00:03:31,560 --> 00:03:33,240 Speaker 1: picked it up. I was like, why why would I 63 00:03:33,240 --> 00:03:35,080 Speaker 1: read this? I know what's going on, I'm living it. 64 00:03:35,760 --> 00:03:39,120 Speaker 1: And then uh, my buddy at work he sent me 65 00:03:39,160 --> 00:03:40,480 Speaker 1: a picture of the book. He said we should do 66 00:03:40,520 --> 00:03:42,840 Speaker 1: something on this. I was like, well, that's a sign 67 00:03:42,880 --> 00:03:45,480 Speaker 1: because I have the book already. So UM, me and 68 00:03:45,560 --> 00:03:48,240 Speaker 1: him just kind of got the spurts of ideas together 69 00:03:48,280 --> 00:03:50,880 Speaker 1: of how we're gonna do this, and then we recute 70 00:03:51,040 --> 00:03:54,800 Speaker 1: recruited our UM correspondent in the UK because he has 71 00:03:54,840 --> 00:03:57,760 Speaker 1: a nice accent to be the narrator, and uh, I 72 00:03:57,800 --> 00:04:00,760 Speaker 1: guess it's just it's been like that from there. He 73 00:04:00,840 --> 00:04:04,680 Speaker 1: does have a great accent. UM. So yeah, so we'll 74 00:04:04,720 --> 00:04:06,880 Speaker 1: we'll start from you know, sort of the basics and 75 00:04:06,960 --> 00:04:09,120 Speaker 1: kind of get into two more of the details of 76 00:04:09,520 --> 00:04:12,720 Speaker 1: the docuseries. But you know, let's start with the basics. 77 00:04:12,800 --> 00:04:15,960 Speaker 1: You know, what is the World Economic Forum? Yeah, so 78 00:04:16,000 --> 00:04:21,960 Speaker 1: it's a conglomerate of radical left UM people who want 79 00:04:22,040 --> 00:04:24,720 Speaker 1: to who want to change the world, and in the 80 00:04:24,760 --> 00:04:28,880 Speaker 1: eyes of their image that makes sense. UM. It's spirit up. 81 00:04:28,880 --> 00:04:34,040 Speaker 1: Ay Claus Schwab who in nineteen sixties I believe might 82 00:04:34,080 --> 00:04:38,680 Speaker 1: be seventies UM went to a Harvard class um funded 83 00:04:38,680 --> 00:04:42,480 Speaker 1: by the CIA and Henry Kissinger, and he was recruited 84 00:04:42,480 --> 00:04:45,400 Speaker 1: from there to take on UM what was once the 85 00:04:45,440 --> 00:04:50,080 Speaker 1: European Symposium, which was what the world economical form is UM. Today. 86 00:04:50,120 --> 00:04:52,560 Speaker 1: It's like a conglomerate of elites who go there yearly, 87 00:04:52,960 --> 00:04:57,159 Speaker 1: annually UM to talk about issues UM, whether the issues 88 00:04:57,200 --> 00:05:02,640 Speaker 1: be the possibility of global catastrophe uh, climate change. UM. 89 00:05:02,680 --> 00:05:05,200 Speaker 1: I think anybody listening could name the rest of what 90 00:05:05,240 --> 00:05:07,440 Speaker 1: the left UM spews out. They've been spearing this since 91 00:05:07,480 --> 00:05:11,320 Speaker 1: the seventies. UM. I think it really kind of got 92 00:05:11,320 --> 00:05:15,000 Speaker 1: its tracks when the bil Liberal Group or the Rockefeller 93 00:05:15,080 --> 00:05:20,479 Speaker 1: sorry UM released the book Limits to Growth, which basically 94 00:05:20,800 --> 00:05:24,040 Speaker 1: made the case for overpopulation. You know there, we need 95 00:05:24,080 --> 00:05:27,320 Speaker 1: to we need to skew the number down a little bit, UM, 96 00:05:27,360 --> 00:05:29,719 Speaker 1: so our resources are okay, and the world that cannot 97 00:05:29,720 --> 00:05:33,719 Speaker 1: reform kind of piggybacked it. Uh So it did. The 98 00:05:33,800 --> 00:05:37,520 Speaker 1: radical ideologies didn't just spawn UM in the past ten 99 00:05:37,640 --> 00:05:40,080 Speaker 1: twenty years, when when this stuff kind of became popular 100 00:05:40,600 --> 00:05:44,880 Speaker 1: or acceptable UM by the the complacent on the right 101 00:05:44,960 --> 00:05:48,159 Speaker 1: and the in the center. UM. I think that pretty 102 00:05:48,240 --> 00:05:50,680 Speaker 1: much sums it up. To meet in Davos, Switzerland, it's 103 00:05:50,720 --> 00:05:54,919 Speaker 1: beautiful there. I wish they didn't have to meet there UM. 104 00:05:54,960 --> 00:05:58,799 Speaker 1: But what what the Docky series itself would be about 105 00:05:58,839 --> 00:06:02,000 Speaker 1: would be their idea of what they call a Great Reset. 106 00:06:02,480 --> 00:06:06,080 Speaker 1: And they spawned this idea actually UM they waited for 107 00:06:06,120 --> 00:06:09,000 Speaker 1: an excuse, which we all know what the excuse was, 108 00:06:09,120 --> 00:06:15,599 Speaker 1: for them to radically change five pillars of our society, 109 00:06:15,920 --> 00:06:22,240 Speaker 1: whether that be economic, environmental, technological, geopolitical, or societal. UM. 110 00:06:22,320 --> 00:06:26,080 Speaker 1: They have essentially influenced in all of our cabinets all 111 00:06:26,080 --> 00:06:28,800 Speaker 1: around the world, no matter what country it is. They've 112 00:06:29,320 --> 00:06:33,520 Speaker 1: very strategically placed themselves in UH or or their their 113 00:06:33,560 --> 00:06:36,680 Speaker 1: people inside our governments to be able to enact this plan. 114 00:06:36,960 --> 00:06:39,760 Speaker 1: And I think a lot of people really started paying 115 00:06:39,800 --> 00:06:44,040 Speaker 1: attention to you know, sort of globally you had all 116 00:06:44,080 --> 00:06:47,120 Speaker 1: these leaders, particularly in the West UH sort of like 117 00:06:47,160 --> 00:06:51,880 Speaker 1: this rise of authoritarianism that we saw during with COVID, 118 00:06:52,240 --> 00:06:54,680 Speaker 1: and I think more people started paying attention to Ha, 119 00:06:54,960 --> 00:06:58,600 Speaker 1: maybe this is a collaborative front. Yeah, that that's exactly it. 120 00:06:58,800 --> 00:07:03,080 Speaker 1: And and that UM really ties into what the Great 121 00:07:03,080 --> 00:07:06,880 Speaker 1: Reset UM lays out. And like I said, it's something 122 00:07:06,960 --> 00:07:11,840 Speaker 1: that's been UM at least spoken about in public, right, 123 00:07:12,280 --> 00:07:16,760 Speaker 1: So it was a plan coordinated UM idea it is 124 00:07:16,800 --> 00:07:20,000 Speaker 1: an actual plan that is in place that they actually 125 00:07:20,040 --> 00:07:23,800 Speaker 1: do talk to governments and influence governments. We did a 126 00:07:24,240 --> 00:07:26,080 Speaker 1: what you would call a freedom of information actually call 127 00:07:26,080 --> 00:07:28,640 Speaker 1: it an a tip here in Canada. We did it 128 00:07:28,720 --> 00:07:32,440 Speaker 1: on Justin Trudeau and Klauch Schwab and and there you 129 00:07:32,480 --> 00:07:36,040 Speaker 1: have it. There actually have internal communication between the two 130 00:07:36,760 --> 00:07:39,720 Speaker 1: of what Justin Trudeau should be saying about, whether it 131 00:07:39,720 --> 00:07:44,080 Speaker 1: be gender ideology or or diversity. And and really just 132 00:07:44,120 --> 00:07:46,960 Speaker 1: those those leftist things that you would that you would 133 00:07:47,040 --> 00:07:49,400 Speaker 1: imagine that were there, they were there. Well and ironically, 134 00:07:49,480 --> 00:07:52,320 Speaker 1: you know, these Western nations are supposed to be free 135 00:07:52,880 --> 00:07:56,400 Speaker 1: like democracies, and you look at people like Trudeau and 136 00:07:56,400 --> 00:07:58,880 Speaker 1: and even Biden here and I mean their dictators, you know, 137 00:07:58,880 --> 00:08:01,280 Speaker 1: talk about some of the stuff that Canada has been 138 00:08:01,320 --> 00:08:04,920 Speaker 1: through with Justin Trudau's overreach. Well yeah, I thought, uh, 139 00:08:05,080 --> 00:08:07,240 Speaker 1: I thought we were beating you guys until FBI rated 140 00:08:07,280 --> 00:08:13,520 Speaker 1: Trump of being being less free. We win. Just it's 141 00:08:13,520 --> 00:08:17,880 Speaker 1: a race to the bottom. But yeah, I Justin Trudeau. Um, 142 00:08:18,000 --> 00:08:19,840 Speaker 1: you know, we could go back years, but I can 143 00:08:19,880 --> 00:08:23,800 Speaker 1: talk about through COVID. Um. I think it all started 144 00:08:23,840 --> 00:08:27,679 Speaker 1: with the snitch line. Um. You can call this number 145 00:08:27,680 --> 00:08:30,400 Speaker 1: on your neighbor so that uh, you know, the cops 146 00:08:30,400 --> 00:08:32,800 Speaker 1: show up at their door and give them hefty tickets, 147 00:08:32,840 --> 00:08:37,040 Speaker 1: not just like hey, quiet down, UM, you're not supposed 148 00:08:37,080 --> 00:08:38,839 Speaker 1: to be here, can you please disperse. It's like a, 149 00:08:39,360 --> 00:08:41,599 Speaker 1: here's five thousand dollars so you can't make rent for 150 00:08:41,640 --> 00:08:45,760 Speaker 1: the next three months. Here's ten dollars so that you know, um, 151 00:08:45,840 --> 00:08:48,440 Speaker 1: your life is ruined because you you met with someone 152 00:08:48,480 --> 00:08:51,280 Speaker 1: for a beer. UM. And then it kind of transformed 153 00:08:51,320 --> 00:08:55,240 Speaker 1: into his rhetoric of of people. You know, you guys 154 00:08:55,280 --> 00:08:57,840 Speaker 1: were lucky you had um Donald Trump through the first 155 00:08:57,880 --> 00:09:01,079 Speaker 1: onset of COVID nineteen UM, where the rhetoric wasn't there, 156 00:09:01,120 --> 00:09:03,720 Speaker 1: but your media was was terrible. But we had media 157 00:09:03,840 --> 00:09:09,240 Speaker 1: and government both simultaneously singling out people who were um. 158 00:09:09,360 --> 00:09:11,280 Speaker 1: And it wasn't just people who are who were vocal. 159 00:09:11,640 --> 00:09:14,920 Speaker 1: It was people who were questioning things, who by on 160 00:09:15,160 --> 00:09:17,800 Speaker 1: by themselves were sitting in their room or their living 161 00:09:17,880 --> 00:09:20,920 Speaker 1: room saying I'm not sure if I'm really on board 162 00:09:20,920 --> 00:09:24,320 Speaker 1: with this. And the amount of like psychological attacks that 163 00:09:24,360 --> 00:09:27,560 Speaker 1: they went through in Canada from the media of um, 164 00:09:27,679 --> 00:09:29,959 Speaker 1: you know, you're killing grandma, Like I'm preaching to the 165 00:09:30,040 --> 00:09:32,760 Speaker 1: choir here. I understand that America went to the same thing, 166 00:09:32,800 --> 00:09:35,560 Speaker 1: but here it's it was a lot different. In my opinion. 167 00:09:37,040 --> 00:09:39,440 Speaker 1: I think at that time was when I really uh 168 00:09:39,600 --> 00:09:42,240 Speaker 1: you know, woke woke up to that kind of stuff UM. 169 00:09:42,280 --> 00:09:45,760 Speaker 1: And then the vaccine UM vaccine came out, and the 170 00:09:45,840 --> 00:09:48,079 Speaker 1: rhetoric here was a lot different again in the States, 171 00:09:48,160 --> 00:09:50,280 Speaker 1: and the States just said, I think, you know, what 172 00:09:50,360 --> 00:09:52,360 Speaker 1: is it like, seventy four million people in the States 173 00:09:52,360 --> 00:09:55,480 Speaker 1: haven't got it UM hundred and thirty million never got 174 00:09:55,520 --> 00:10:00,480 Speaker 1: there booster shot. Here in Canada, I think we're down 175 00:10:00,480 --> 00:10:04,600 Speaker 1: to three million people who haven't got it UM. And 176 00:10:04,600 --> 00:10:07,000 Speaker 1: and and it's not about if you got it or not, 177 00:10:07,679 --> 00:10:11,000 Speaker 1: because you know, I personally don't think that matters. I 178 00:10:11,000 --> 00:10:13,280 Speaker 1: think it's uh, it's it's what came after that with 179 00:10:13,320 --> 00:10:17,079 Speaker 1: the crackdown of the people who didn't get it. So 180 00:10:17,920 --> 00:10:20,000 Speaker 1: we all had vaccine pasports. You had it in the States, 181 00:10:20,000 --> 00:10:22,680 Speaker 1: but here in Canada it was it was no matter 182 00:10:22,800 --> 00:10:24,520 Speaker 1: what province you were in, which is like what we 183 00:10:24,559 --> 00:10:28,200 Speaker 1: would call a state UM or what you would call state, 184 00:10:28,480 --> 00:10:31,040 Speaker 1: no matter where you were UM, you could not escape it. 185 00:10:31,400 --> 00:10:32,680 Speaker 1: And it got to the point where you were not 186 00:10:32,679 --> 00:10:34,800 Speaker 1: allowed to get on a plane a train if you 187 00:10:34,840 --> 00:10:38,080 Speaker 1: weren't vaccinated. I live in Alberta. My mom lives in Ontario. 188 00:10:38,559 --> 00:10:40,800 Speaker 1: My nineties six year old great grandmother lives in Ontario. 189 00:10:40,960 --> 00:10:43,000 Speaker 1: I'm not able to see her. What wasn't able to 190 00:10:43,040 --> 00:10:44,680 Speaker 1: see her for two years because I couldn't get on 191 00:10:44,679 --> 00:10:46,440 Speaker 1: a plane, couldn't get a train, and I'm not not 192 00:10:46,559 --> 00:10:50,280 Speaker 1: driving through the winter at forty eight hours, right. Um, 193 00:10:50,360 --> 00:10:55,240 Speaker 1: we still at this time can't leave the country and 194 00:10:55,320 --> 00:10:59,160 Speaker 1: get back in without having to quarantine and be subjected 195 00:10:59,200 --> 00:11:01,120 Speaker 1: to people knocking on our door at eight o'clock in 196 00:11:01,160 --> 00:11:04,160 Speaker 1: the morning every day. UM. To make sure that we're home. 197 00:11:04,440 --> 00:11:08,559 Speaker 1: We we need to test twice, once on the third 198 00:11:08,600 --> 00:11:10,760 Speaker 1: day and once on the eighth day, and if that 199 00:11:11,120 --> 00:11:15,800 Speaker 1: cause back positive, we're back again for another fourteen days quarantining. Um. 200 00:11:15,840 --> 00:11:19,320 Speaker 1: The mandates got so far too, as it did with 201 00:11:19,360 --> 00:11:23,599 Speaker 1: the states of nurses and doctors and teachers and police officers, firefighters, 202 00:11:23,600 --> 00:11:25,559 Speaker 1: And then it got to our truckers, and boy was 203 00:11:25,600 --> 00:11:30,640 Speaker 1: a boy was that exciting? Um? The truckers, U, CB 204 00:11:30,840 --> 00:11:35,400 Speaker 1: Radio and UH basically coordinated a big protest to to 205 00:11:35,520 --> 00:11:41,000 Speaker 1: drive from BC British Columbia, which is right above Oregon, 206 00:11:41,120 --> 00:11:44,360 Speaker 1: I believe, and then all the way over to Ottawa, 207 00:11:44,559 --> 00:11:49,839 Speaker 1: which is right above New York State. Um, that's pretty far. 208 00:11:50,160 --> 00:11:52,320 Speaker 1: It was tens tens of thousands of truckers. That was 209 00:11:52,520 --> 00:11:55,079 Speaker 1: cool to watch with you know what the truckers were 210 00:11:55,080 --> 00:11:57,559 Speaker 1: doing in standing up for freedom. But you know the 211 00:11:57,600 --> 00:12:00,840 Speaker 1: government really cracked down on them and uh wished to them. 212 00:12:00,920 --> 00:12:04,280 Speaker 1: Yeah that's uh, that's that's exactly where where um, where 213 00:12:04,320 --> 00:12:06,800 Speaker 1: we're at with with how the government reacts to dissidents. 214 00:12:06,840 --> 00:12:11,080 Speaker 1: They um, they enacted an emergency Act, which as a 215 00:12:11,080 --> 00:12:14,760 Speaker 1: as a war act hasn't and the it hasn't been 216 00:12:14,800 --> 00:12:18,760 Speaker 1: used since the seventies of when they are actual domestic terrorists, um, 217 00:12:18,920 --> 00:12:24,960 Speaker 1: bombing regular people in in plazas and killing politicians, you know, 218 00:12:25,280 --> 00:12:27,079 Speaker 1: shooting them in the head. And it was a big 219 00:12:27,120 --> 00:12:31,440 Speaker 1: coordinated terrorist attack on one of our provinces, Quebec, and 220 00:12:31,480 --> 00:12:36,280 Speaker 1: they re enacted that act because people were protesting in Ottawa. 221 00:12:36,360 --> 00:12:38,280 Speaker 1: It was sure it was a hundred thousands of people 222 00:12:38,280 --> 00:12:41,760 Speaker 1: and they blocked up the city. Um. They when they 223 00:12:42,160 --> 00:12:45,319 Speaker 1: put through that act, they started seizing bank accounts like 224 00:12:45,440 --> 00:12:49,880 Speaker 1: Banana Republic type actions. Um, making sure that you wouldn't 225 00:12:49,880 --> 00:12:52,160 Speaker 1: have insurance ever again. Um, so that you can never 226 00:12:52,240 --> 00:12:54,840 Speaker 1: drive your truck and these are people who feed us. 227 00:12:54,880 --> 00:12:56,840 Speaker 1: These are these are truckers. They they put food on 228 00:12:56,840 --> 00:13:01,000 Speaker 1: our table. Um. It went as far as having like 229 00:13:01,120 --> 00:13:04,839 Speaker 1: military police, like big not like tanks heat see in Iraq, 230 00:13:04,920 --> 00:13:06,520 Speaker 1: but like tanks that you'd see with like a big 231 00:13:06,559 --> 00:13:11,000 Speaker 1: heavy machine gun machine guns inside of big armored vehicles. 232 00:13:11,040 --> 00:13:13,520 Speaker 1: Like why why would you need that for for literally 233 00:13:13,520 --> 00:13:17,319 Speaker 1: a peaceful like a very peaceful protest. They were they 234 00:13:17,360 --> 00:13:21,079 Speaker 1: stood by their peace. And that's that's just the grand 235 00:13:21,120 --> 00:13:23,320 Speaker 1: example of what we're dealing with. From Justin TRICHGEO here 236 00:13:23,320 --> 00:13:26,040 Speaker 1: in Canada, quick commercial break back with Kian on the 237 00:13:26,120 --> 00:13:32,679 Speaker 1: other side. Well, and I really think that the World 238 00:13:32,720 --> 00:13:36,720 Speaker 1: Economic Forum and sort of this global collaboration is really 239 00:13:36,880 --> 00:13:42,320 Speaker 1: strengthening these authoritarianism or these authoritarians, because what's happening is, 240 00:13:42,440 --> 00:13:44,840 Speaker 1: you know, Joe Biden looks at what's happening with Justin 241 00:13:44,920 --> 00:13:46,520 Speaker 1: Trudeau and he's like, oh, you know what I mean, 242 00:13:46,559 --> 00:13:48,880 Speaker 1: Like they were like encouraging each other, whereas if they 243 00:13:48,920 --> 00:13:50,440 Speaker 1: were doing it alone, I think the rest of the 244 00:13:50,440 --> 00:13:53,880 Speaker 1: world might more easily condemn it. But instead they're sort 245 00:13:53,880 --> 00:14:01,200 Speaker 1: of collectively really enacting and uh, accelerating this jump to 246 00:14:01,200 --> 00:14:04,959 Speaker 1: towards authoritarianism and in previously free countries. Do you think 247 00:14:05,000 --> 00:14:08,320 Speaker 1: that's an accurate statement to make? I think it's very accurate. Um. 248 00:14:08,360 --> 00:14:10,760 Speaker 1: It actually plays right into one of the pillars of 249 00:14:10,800 --> 00:14:13,080 Speaker 1: the great Reset And this is written by klash Swab, 250 00:14:13,480 --> 00:14:17,440 Speaker 1: the geopolitical Reset UM and that that's exactly it is. 251 00:14:17,480 --> 00:14:21,720 Speaker 1: It's changing the relationship that governments have with um corporations, 252 00:14:21,800 --> 00:14:25,480 Speaker 1: which you know can help them with censorship that they 253 00:14:25,480 --> 00:14:28,120 Speaker 1: love to do, and then changing their social contract with 254 00:14:28,160 --> 00:14:30,800 Speaker 1: people so that we view the government differently. We can 255 00:14:30,880 --> 00:14:32,840 Speaker 1: view them more as a as a boss rather than 256 00:14:32,880 --> 00:14:38,480 Speaker 1: a regulator or or whatever we view them as now. UM, 257 00:14:38,640 --> 00:14:41,120 Speaker 1: it's yeah, very accurate. Well, and I want to play 258 00:14:41,160 --> 00:14:43,920 Speaker 1: this clip from one of the episodes talking about the 259 00:14:44,040 --> 00:14:47,240 Speaker 1: use of technology. I I really like the hairs of 260 00:14:47,320 --> 00:14:50,240 Speaker 1: my arms stood up while I was watching this. Let's 261 00:14:50,280 --> 00:14:51,800 Speaker 1: play it, and then I want to talk to you 262 00:14:51,800 --> 00:14:56,360 Speaker 1: about it afterwards. Well, augmenting our bodies with technology changes 263 00:14:56,600 --> 00:15:01,720 Speaker 1: how we define humanity, and re creating the human experience 264 00:15:01,800 --> 00:15:07,800 Speaker 1: digitally changes how we define reality. These advances raise new 265 00:15:07,880 --> 00:15:13,560 Speaker 1: ethical questions surrounding the possibilities of exploitation. You know, the 266 00:15:13,600 --> 00:15:17,800 Speaker 1: customer is always right. In the end, corporations say customers 267 00:15:17,800 --> 00:15:21,960 Speaker 1: have free will, But once corporations and governments and the 268 00:15:22,000 --> 00:15:26,120 Speaker 1: ability to hawk humans, then there is no longer free will. 269 00:15:26,640 --> 00:15:28,400 Speaker 1: So first of all, who is that guy we just 270 00:15:28,480 --> 00:15:30,960 Speaker 1: heard at the end talk a little bit about him? 271 00:15:31,000 --> 00:15:33,720 Speaker 1: And then before people say, oh, this is you know, conspiration, 272 00:15:33,760 --> 00:15:36,080 Speaker 1: that's literally just someone who is connected with the World 273 00:15:36,120 --> 00:15:39,240 Speaker 1: Economic Forum laying it out. So you know, first of all, 274 00:15:39,280 --> 00:15:41,640 Speaker 1: who is that guy? And then why is that important? Yeah, 275 00:15:41,640 --> 00:15:44,920 Speaker 1: that's a you've all Noah Harari Um he's the most 276 00:15:44,920 --> 00:15:48,560 Speaker 1: atrocious person at the World Economic Forum. He is a 277 00:15:48,800 --> 00:15:54,280 Speaker 1: um historian from Israel who um, I don't know. I 278 00:15:54,280 --> 00:15:56,840 Speaker 1: don't remember how he phrases it. He's a historian that 279 00:15:56,920 --> 00:15:59,280 Speaker 1: learns from the future. Or it's like it's it's weird, 280 00:15:59,360 --> 00:16:05,680 Speaker 1: it's he says weird things like that. Yeah he uh um. Basically, 281 00:16:06,280 --> 00:16:11,280 Speaker 1: his thesis is that humans um can only be led 282 00:16:11,320 --> 00:16:14,720 Speaker 1: by lies. He says that one of his one of 283 00:16:14,720 --> 00:16:17,560 Speaker 1: his famous sayings is fake news has been with us 284 00:16:17,560 --> 00:16:20,600 Speaker 1: for thousands of years. Just look at the Bible, and 285 00:16:21,000 --> 00:16:23,280 Speaker 1: you know you can you can you can agree or disagree, 286 00:16:23,320 --> 00:16:25,960 Speaker 1: and and um, we can still all be friends of 287 00:16:26,200 --> 00:16:29,240 Speaker 1: about religion. But the fact that he's so anti God 288 00:16:29,600 --> 00:16:37,600 Speaker 1: yet can talk about hacking humans and playing God really 289 00:16:37,800 --> 00:16:41,440 Speaker 1: kind of puts together this full circle of what are 290 00:16:41,440 --> 00:16:44,280 Speaker 1: we really dealing with here? So you've all nomo harari 291 00:16:45,520 --> 00:16:48,760 Speaker 1: um being a historian and learning from you know, dictators 292 00:16:48,800 --> 00:16:52,840 Speaker 1: and and uh, fascist governments and stuff like that. He 293 00:16:52,920 --> 00:17:01,320 Speaker 1: always relates the technological upcoming technological reset, two previous dictators 294 00:17:01,400 --> 00:17:04,600 Speaker 1: and and and it doesn't it doesn't make a lot 295 00:17:04,680 --> 00:17:08,479 Speaker 1: of sense of of of he's trying to come off 296 00:17:08,520 --> 00:17:11,200 Speaker 1: as a good guy, and then he's saying, um, dictators 297 00:17:11,200 --> 00:17:14,440 Speaker 1: could never do this, but now we can. It's like, well, 298 00:17:14,440 --> 00:17:16,480 Speaker 1: what do you what do you who are you talking 299 00:17:16,480 --> 00:17:18,960 Speaker 1: to here, buddy? Right? But but it gets into the 300 00:17:19,000 --> 00:17:23,000 Speaker 1: mindset of these guys because essentially the way they view 301 00:17:23,160 --> 00:17:25,719 Speaker 1: us is, you know, we're just like their peasants, right, 302 00:17:25,760 --> 00:17:28,480 Speaker 1: Like they the whole point of the World Economic Forum 303 00:17:28,560 --> 00:17:31,120 Speaker 1: is that these people know better, right, Like we should 304 00:17:31,160 --> 00:17:34,560 Speaker 1: be subservient to them. They're the ones that are smart. 305 00:17:34,720 --> 00:17:36,840 Speaker 1: They're part of the elite, they're part of academia, they're 306 00:17:37,040 --> 00:17:38,320 Speaker 1: you know what I mean, Like these are the people 307 00:17:38,760 --> 00:17:40,639 Speaker 1: who should be ruling the world and the rest of 308 00:17:40,760 --> 00:17:43,520 Speaker 1: us just shut up and submit. UM. It's actually quite 309 00:17:43,560 --> 00:17:46,600 Speaker 1: the contrary of of of how they view us. UM 310 00:17:46,840 --> 00:17:50,119 Speaker 1: with the with the upcoming UH technological reset that is 311 00:17:50,160 --> 00:17:53,000 Speaker 1: and this is words from you all, Noah Harari, is 312 00:17:53,040 --> 00:17:55,320 Speaker 1: that previously, when when you didn't get on board with things, 313 00:17:56,480 --> 00:17:58,399 Speaker 1: whether it be thousands of years ago, and you could, 314 00:17:58,560 --> 00:18:00,520 Speaker 1: you know, become a surfer a slave our hundreds of 315 00:18:00,560 --> 00:18:04,160 Speaker 1: years ago, become a surfer a slave. He says that, Um, 316 00:18:04,200 --> 00:18:07,040 Speaker 1: with the upcoming changes, you won't even have to be 317 00:18:07,640 --> 00:18:12,639 Speaker 1: a surfer a slave because you'll be irrelevant. They won't 318 00:18:12,680 --> 00:18:15,240 Speaker 1: he says, they won't even need you as as a slave, 319 00:18:15,880 --> 00:18:19,199 Speaker 1: and that that really just plays into UM. What the 320 00:18:19,200 --> 00:18:22,800 Speaker 1: technological reset is is that it's it's the replacing the 321 00:18:22,840 --> 00:18:26,720 Speaker 1: replacement of society. It's a replacement of humans with um 322 00:18:27,240 --> 00:18:29,960 Speaker 1: AI and technology. And it sounds like a movie, but 323 00:18:31,200 --> 00:18:34,280 Speaker 1: that's exactly what they're trying to do. And I lay 324 00:18:34,320 --> 00:18:38,480 Speaker 1: it out in the in the documentary there of of 325 00:18:38,560 --> 00:18:41,040 Speaker 1: why they want to do that, right, it's it they 326 00:18:41,080 --> 00:18:43,760 Speaker 1: think that we are irrelevant when when we're not playing 327 00:18:43,760 --> 00:18:45,399 Speaker 1: into their hands. Well, and then what does that do 328 00:18:45,520 --> 00:18:48,600 Speaker 1: to to humans? When you degrade someone like that. You 329 00:18:48,680 --> 00:18:50,720 Speaker 1: take away their worth, you take away their job, you 330 00:18:50,760 --> 00:18:53,200 Speaker 1: take away their ability to feed their family. I mean, 331 00:18:53,720 --> 00:18:57,119 Speaker 1: you've essentially destroyed their lives. But in your right hand's 332 00:18:57,240 --> 00:19:00,160 Speaker 1: it's an amazing question because um, I don't even think 333 00:19:00,160 --> 00:19:02,880 Speaker 1: there's an answer to it yet. Um. That plays into 334 00:19:03,040 --> 00:19:05,560 Speaker 1: the societal reset that they're they're striving for. You know, 335 00:19:06,160 --> 00:19:09,120 Speaker 1: for the last ten years, when all this technological advancement 336 00:19:09,119 --> 00:19:11,800 Speaker 1: has come through, blue collar workers are like, hey, what 337 00:19:11,840 --> 00:19:14,600 Speaker 1: the hell man, Um, you know where jobs going? But 338 00:19:14,920 --> 00:19:17,040 Speaker 1: no one's talking about the white collar workers either to 339 00:19:17,119 --> 00:19:20,280 Speaker 1: people who in the office is I think they're less Um, 340 00:19:20,320 --> 00:19:22,840 Speaker 1: they're less needed when when when this technology comes through? 341 00:19:22,880 --> 00:19:25,640 Speaker 1: Because why would we need someone doing data? Why would 342 00:19:25,640 --> 00:19:27,760 Speaker 1: we need someone plugging numbers into a computer when when 343 00:19:27,800 --> 00:19:31,200 Speaker 1: a computer could just do it itself. Um. But I 344 00:19:31,240 --> 00:19:34,440 Speaker 1: think that gets into every caller of worker where whether 345 00:19:34,480 --> 00:19:37,359 Speaker 1: it be red collar to like governments. Um, people in 346 00:19:37,400 --> 00:19:40,760 Speaker 1: the government who are good people, they're gonna be deemed irrelevant. 347 00:19:40,800 --> 00:19:42,520 Speaker 1: They they're not going to have a job either because 348 00:19:42,560 --> 00:19:44,080 Speaker 1: if they're not going to be playing into the hands 349 00:19:44,119 --> 00:19:48,240 Speaker 1: of of what's coming, Um, they're gone. So I think 350 00:19:48,240 --> 00:19:52,160 Speaker 1: it affects every single person on the earth. And and 351 00:19:52,200 --> 00:19:55,880 Speaker 1: I know that's a very um big statement to say, 352 00:19:55,880 --> 00:19:58,199 Speaker 1: but I really do well. And I was even you know, 353 00:19:58,240 --> 00:20:01,800 Speaker 1: I didn't sign up for any of the health app apps. 354 00:20:02,160 --> 00:20:04,480 Speaker 1: You know, I turned off my COVID tracking on my phone, 355 00:20:04,520 --> 00:20:06,639 Speaker 1: not like it probably matters, you know, like they just 356 00:20:07,200 --> 00:20:09,640 Speaker 1: they like track your every movement. But we've already seen 357 00:20:09,680 --> 00:20:12,880 Speaker 1: in countries like China obviously those systems abused. I mean, 358 00:20:13,359 --> 00:20:17,119 Speaker 1: you know they would intentionally uh basically tell people they 359 00:20:17,119 --> 00:20:20,240 Speaker 1: had COVID when they didn't stop protest, you know, sort 360 00:20:20,240 --> 00:20:23,800 Speaker 1: of to stop descent and those sorts of things. You 361 00:20:23,840 --> 00:20:26,639 Speaker 1: know how much a lot of this is about, you know, 362 00:20:26,680 --> 00:20:29,880 Speaker 1: setting up a social credit score in these various countries. 363 00:20:30,680 --> 00:20:34,159 Speaker 1: It is, it's uh digital idea. It's um not a 364 00:20:34,160 --> 00:20:37,560 Speaker 1: conspiracy anymore. Canada already has it. Um all of our 365 00:20:37,600 --> 00:20:41,159 Speaker 1: provinces have gone through with it. UM. I don't think 366 00:20:41,160 --> 00:20:44,359 Speaker 1: there's any stopping it either. Um. But yeah, I think 367 00:20:44,400 --> 00:20:47,639 Speaker 1: it all came from the vaccine passport of just getting 368 00:20:47,640 --> 00:20:50,840 Speaker 1: people used to showing their papers at the door. Um, 369 00:20:50,920 --> 00:20:53,080 Speaker 1: you know you're not vaccinated, so you can't go to 370 00:20:52,920 --> 00:20:56,960 Speaker 1: the restaurant or to the bar without without showing all 371 00:20:57,040 --> 00:21:03,120 Speaker 1: of your documentation without exposing your sovereignty. UM. So yeah, 372 00:21:03,119 --> 00:21:05,080 Speaker 1: I think that it all plays into their little game 373 00:21:05,119 --> 00:21:08,800 Speaker 1: of UM digital identity and they trojan and this is 374 00:21:08,880 --> 00:21:11,760 Speaker 1: this is like the like the worst part about it 375 00:21:11,800 --> 00:21:15,040 Speaker 1: is that they use Africa as an excuse the trojan 376 00:21:15,080 --> 00:21:18,400 Speaker 1: horse digital I d onto the entire world because Africans 377 00:21:18,400 --> 00:21:21,040 Speaker 1: don't have identification and they see they deemed that as 378 00:21:21,080 --> 00:21:23,199 Speaker 1: a problem that we all have to face or that 379 00:21:23,240 --> 00:21:26,240 Speaker 1: we all have to suffer from. Instead of everybody coming 380 00:21:26,240 --> 00:21:29,119 Speaker 1: together and saying, let's just help Africa with that, but no, 381 00:21:29,400 --> 00:21:31,320 Speaker 1: they want to turn it around and say everybody should 382 00:21:31,320 --> 00:21:32,840 Speaker 1: be on the same thing. If Africa is on this 383 00:21:33,760 --> 00:21:37,600 Speaker 1: UM and then yes to the social credit system. UM. 384 00:21:37,680 --> 00:21:41,080 Speaker 1: I don't think it would be as as uh harsh 385 00:21:41,320 --> 00:21:44,080 Speaker 1: as China's. I don't think that. UM. I think that 386 00:21:44,200 --> 00:21:46,240 Speaker 1: people would would push back and there would be some 387 00:21:46,320 --> 00:21:49,040 Speaker 1: weird middle ground that we would find. UM. I can't 388 00:21:49,520 --> 00:21:51,600 Speaker 1: back up that statement, but that's just how I feel 389 00:21:51,640 --> 00:21:54,760 Speaker 1: about that. But I do think that UM, especially what 390 00:21:54,800 --> 00:21:57,679 Speaker 1: we saw from in Canada at least, who already has 391 00:21:57,760 --> 00:22:01,040 Speaker 1: digital identity, when we don't agree with the government, that 392 00:22:01,080 --> 00:22:04,800 Speaker 1: could freeze our bank account just like that. So now 393 00:22:04,840 --> 00:22:07,840 Speaker 1: they have access to everybody's bank accounts with the If 394 00:22:07,880 --> 00:22:11,600 Speaker 1: digital idea rolls out to the entire country, then um, 395 00:22:11,640 --> 00:22:12,959 Speaker 1: they just all they have to do is scroll our 396 00:22:12,960 --> 00:22:14,760 Speaker 1: social media and say, oh, I don't like what he said. 397 00:22:15,040 --> 00:22:17,719 Speaker 1: You can't buy food for your family anymore. I mean 398 00:22:17,760 --> 00:22:22,639 Speaker 1: we've essentially traded or freedom and or liberty for ease 399 00:22:23,000 --> 00:22:27,040 Speaker 1: with technology. That's exactly right, and that's what they're striving for. 400 00:22:27,119 --> 00:22:30,239 Speaker 1: Another clip of his is um talking about um the 401 00:22:30,240 --> 00:22:34,280 Speaker 1: eradication of privacy, and he says, Um, the KGB couldn't 402 00:22:34,280 --> 00:22:37,679 Speaker 1: do it, but now we can. Um, privacy is is 403 00:22:37,840 --> 00:22:41,080 Speaker 1: no more like we can eradicate privacy as we know it. 404 00:22:41,720 --> 00:22:44,800 Speaker 1: And I think that um, people hear that kind of 405 00:22:44,800 --> 00:22:46,840 Speaker 1: stuff and and I think on one of them who 406 00:22:46,960 --> 00:22:51,280 Speaker 1: say that, I don't think we have privacy anyway. But um, 407 00:22:51,359 --> 00:22:53,399 Speaker 1: what what's interesting about it is the fact that he 408 00:22:53,400 --> 00:22:56,880 Speaker 1: always plays into the hacking of people. And I think 409 00:22:56,880 --> 00:22:59,000 Speaker 1: that it goes a lot deeper than when what people 410 00:22:59,400 --> 00:23:01,640 Speaker 1: UM think of when they hear that, it's like, oh 411 00:23:01,680 --> 00:23:04,720 Speaker 1: the hackets a little um, you know, they they can 412 00:23:04,720 --> 00:23:06,320 Speaker 1: move our arm and they want to kind of thing, 413 00:23:06,359 --> 00:23:10,080 Speaker 1: but they can really that really goes into your neurological pathways, 414 00:23:10,520 --> 00:23:13,720 Speaker 1: that goes into your brain and make you start believing 415 00:23:13,760 --> 00:23:16,800 Speaker 1: things that you don't believe. And I think that that's 416 00:23:16,800 --> 00:23:20,320 Speaker 1: what they do, that they want to do when um 417 00:23:20,400 --> 00:23:22,760 Speaker 1: this stuff goes out and and people like me and 418 00:23:22,800 --> 00:23:26,640 Speaker 1: you who won't give up our freedom for ease, well, 419 00:23:26,400 --> 00:23:29,040 Speaker 1: we'd have to in in the in that sense, we 420 00:23:29,200 --> 00:23:32,600 Speaker 1: have to once we're hacked, right, And it's it's just 421 00:23:32,960 --> 00:23:37,120 Speaker 1: it's just an insane um conversation to be having in 422 00:23:37,200 --> 00:23:39,159 Speaker 1: my lifetime. I feel, you know, so out of the 423 00:23:39,200 --> 00:23:42,439 Speaker 1: five pillars and uh, you know, after putting together this 424 00:23:42,480 --> 00:23:45,720 Speaker 1: docuseries and doing the amount of research you've done, what 425 00:23:45,840 --> 00:23:48,760 Speaker 1: worries you the most? I think we're already living through 426 00:23:49,200 --> 00:23:52,879 Speaker 1: um the worst part. If you want me to be honest, 427 00:23:53,280 --> 00:23:56,520 Speaker 1: I might sound um, what does the kids say like 428 00:23:56,600 --> 00:23:59,679 Speaker 1: white pilled? I'm I'm not the doom. I'm not the 429 00:23:59,680 --> 00:24:02,480 Speaker 1: doom and gloom about this. I I do think that 430 00:24:02,520 --> 00:24:06,240 Speaker 1: a lot of what they're doing is inevitable. UM. But 431 00:24:06,320 --> 00:24:09,159 Speaker 1: I really do just think that it's the technological aspect 432 00:24:09,200 --> 00:24:14,240 Speaker 1: of it, of of the ai UM that scares me 433 00:24:14,280 --> 00:24:19,600 Speaker 1: the most. UM. I think that would be because it's 434 00:24:19,600 --> 00:24:24,359 Speaker 1: a irreversible avenue to go down. It's an irreversible path 435 00:24:24,760 --> 00:24:31,600 Speaker 1: of creating consciousness that isn't UM natural. I think that 436 00:24:32,560 --> 00:24:35,399 Speaker 1: UM and I start sounding like Elon Musk here, but 437 00:24:35,480 --> 00:24:38,119 Speaker 1: I think that they would treat us like ants. I 438 00:24:38,160 --> 00:24:40,199 Speaker 1: think that we would be treated like ants. And I 439 00:24:40,200 --> 00:24:42,560 Speaker 1: don't think that the world I know, I understand the 440 00:24:42,560 --> 00:24:44,359 Speaker 1: world that Canamic Farm talks about safety a lot when 441 00:24:44,440 --> 00:24:49,120 Speaker 1: working with AI. But you know, maybe I've just seen 442 00:24:49,119 --> 00:24:52,240 Speaker 1: too many movies and just to face the fact that 443 00:24:52,320 --> 00:24:54,359 Speaker 1: it's actually happening in real life that they are doing 444 00:24:54,720 --> 00:25:00,280 Speaker 1: weird things like that of replicating the human experience. UM. 445 00:25:00,320 --> 00:25:04,560 Speaker 1: Thinking that our highest means are in artificially created consciousness, 446 00:25:05,080 --> 00:25:06,760 Speaker 1: I think that's what scares me the most as a 447 00:25:07,040 --> 00:25:10,320 Speaker 1: as a long answer wrapped up there. Well, it's also 448 00:25:10,359 --> 00:25:12,680 Speaker 1: I mean a lot of this stuff has been going 449 00:25:12,760 --> 00:25:15,560 Speaker 1: on in terms of even just like propaganda, right, like 450 00:25:15,600 --> 00:25:18,240 Speaker 1: the things we watch, the things we read, the things 451 00:25:18,240 --> 00:25:21,440 Speaker 1: that they reinforce, you know, time and time time again 452 00:25:21,600 --> 00:25:23,719 Speaker 1: sort of change our person I mean, they're sort of warping. 453 00:25:23,720 --> 00:25:26,440 Speaker 1: They've always sort of tried to warp or vision and 454 00:25:26,520 --> 00:25:29,399 Speaker 1: the things that you know, we see and read. I mean, 455 00:25:29,560 --> 00:25:32,639 Speaker 1: you look at the news media, the propaganda we're fed 456 00:25:33,040 --> 00:25:35,640 Speaker 1: here in the United States. But one thing I thought 457 00:25:35,680 --> 00:25:38,760 Speaker 1: was interesting is Klaus Schwabs ties to the C I 458 00:25:38,880 --> 00:25:43,880 Speaker 1: A yeah, um, you know I wouldn't say uh directly, um, 459 00:25:43,920 --> 00:25:48,359 Speaker 1: but just from the say funded program sorry of you know, 460 00:25:48,400 --> 00:25:54,400 Speaker 1: wanting to find somebody to to host these annual meetings. UM. 461 00:25:54,560 --> 00:25:56,960 Speaker 1: I do think it's it just goes to the extent 462 00:25:57,000 --> 00:26:01,840 Speaker 1: of that of Klas Swabs and and how he's involved 463 00:26:01,840 --> 00:26:05,800 Speaker 1: with what the CIA was back then. UM. I don't 464 00:26:05,800 --> 00:26:07,520 Speaker 1: think it would go any further, but I do I 465 00:26:07,560 --> 00:26:10,119 Speaker 1: do see how it comes full circle of why wouldn't 466 00:26:10,160 --> 00:26:14,760 Speaker 1: the CIA want every world leader in um tech, technological 467 00:26:14,800 --> 00:26:18,000 Speaker 1: advancer and company leaders all in one room? Right? That 468 00:26:18,080 --> 00:26:20,200 Speaker 1: sounds like a It sounds like a pipe dream for 469 00:26:20,240 --> 00:26:22,280 Speaker 1: the CIA. That sounds like the best thing ever for them, 470 00:26:22,320 --> 00:26:25,280 Speaker 1: think right. So I think that, um, they had their 471 00:26:25,280 --> 00:26:29,640 Speaker 1: own agenda with with why they wanted to create that. UM. Yeah, 472 00:26:29,640 --> 00:26:32,800 Speaker 1: I wouldn't say that Coach fab is you know, working 473 00:26:32,800 --> 00:26:35,879 Speaker 1: with the CIA or anything. What else should people know 474 00:26:36,640 --> 00:26:41,320 Speaker 1: about the World Economic Forum? There's just so much, um, 475 00:26:41,359 --> 00:26:45,040 Speaker 1: I think. I think one of my most favorite parts 476 00:26:45,080 --> 00:26:49,159 Speaker 1: about it is the Young Global Leaders program. UM. They 477 00:26:49,200 --> 00:26:50,879 Speaker 1: have a Young Global Leaders program, and they have a 478 00:26:50,920 --> 00:26:55,120 Speaker 1: Technology Technology Pioneers program where basically the same thing of 479 00:26:55,640 --> 00:26:59,360 Speaker 1: recruiting people or businesses when they're young, UM, saying that 480 00:26:59,480 --> 00:27:02,160 Speaker 1: you know, uh, we have a lot of interest in you. 481 00:27:02,160 --> 00:27:04,600 Speaker 1: You you look like you have a lot of potential. UM. 482 00:27:04,800 --> 00:27:09,119 Speaker 1: Start coming to these forums for two years and like 483 00:27:09,240 --> 00:27:12,560 Speaker 1: learn with us and and talk with us, exchange ideas 484 00:27:13,920 --> 00:27:16,440 Speaker 1: and uh, you know it doesn't sound as bad as 485 00:27:16,920 --> 00:27:20,760 Speaker 1: it sounds, UM, but it is. It is because when 486 00:27:21,600 --> 00:27:23,520 Speaker 1: you bring in these people who are who are just 487 00:27:23,800 --> 00:27:26,240 Speaker 1: you know, maybe they're brilliant minds and brilliant people, and 488 00:27:26,240 --> 00:27:28,840 Speaker 1: then you bring them into this room full of UM, 489 00:27:28,960 --> 00:27:32,159 Speaker 1: people who hate God and people who hate humans, and 490 00:27:32,280 --> 00:27:35,000 Speaker 1: people who hate oil and gas, people who hate with 491 00:27:35,520 --> 00:27:39,840 Speaker 1: who hate um, you know, our farms, people who hate 492 00:27:40,040 --> 00:27:44,960 Speaker 1: the way that we we treat animals. UM. All of 493 00:27:44,960 --> 00:27:47,280 Speaker 1: these ideologies kind of get like pushed into them and 494 00:27:47,320 --> 00:27:49,800 Speaker 1: then when they do become influential, you know, where their 495 00:27:49,800 --> 00:27:52,640 Speaker 1: minds at now because of the World's Economic Forum. UM. 496 00:27:52,920 --> 00:27:56,240 Speaker 1: Some examples of gonglobal leaders from the World Economic Forum 497 00:27:56,280 --> 00:28:01,720 Speaker 1: would be Ivanka Trump, which blows my mind. UM, and 498 00:28:01,760 --> 00:28:04,440 Speaker 1: to say that there's there's a bunch of young global leaders. 499 00:28:04,480 --> 00:28:07,359 Speaker 1: You can go justin Trudo, the president of Argentina, the 500 00:28:07,359 --> 00:28:11,440 Speaker 1: President of France, the president of uh Finland, or the 501 00:28:11,440 --> 00:28:14,280 Speaker 1: Prime Minister of Finland, sorry, the Prime Minister of Netherlands. 502 00:28:14,280 --> 00:28:17,800 Speaker 1: Like these are actual influential people. I would say, Um, 503 00:28:17,880 --> 00:28:23,200 Speaker 1: Mark Zuckerberg. Um. Supposedly emon Elon Musk but that kind 504 00:28:23,240 --> 00:28:24,919 Speaker 1: of that kind of got wiped off the internet. But 505 00:28:24,960 --> 00:28:27,680 Speaker 1: we found I found some archived stuff that suggests that 506 00:28:27,720 --> 00:28:29,600 Speaker 1: he was one too. And I wouldn't say that if 507 00:28:29,600 --> 00:28:33,440 Speaker 1: you're a young global leader that you're bad um. But 508 00:28:33,440 --> 00:28:36,399 Speaker 1: but I would say that anybody. I would say to anybody, like, 509 00:28:36,560 --> 00:28:39,800 Speaker 1: look at who is running your city, who is running 510 00:28:39,800 --> 00:28:42,440 Speaker 1: your town? Like there they are every they are everywhere. 511 00:28:43,160 --> 00:28:45,000 Speaker 1: And not to say that they all meet up in 512 00:28:45,040 --> 00:28:49,320 Speaker 1: one room once a year and you know, try to 513 00:28:49,360 --> 00:28:51,520 Speaker 1: destroy you, like find ways to destroy you. It's just 514 00:28:51,920 --> 00:28:53,320 Speaker 1: now you know where their mind is at and you 515 00:28:53,320 --> 00:28:55,680 Speaker 1: should be more a wary of them. Um. One more 516 00:28:55,680 --> 00:28:58,800 Speaker 1: example of the technolog technology pioneers. The other side of 517 00:28:58,880 --> 00:29:01,480 Speaker 1: the Young Global Leaders program is when they grab the 518 00:29:01,560 --> 00:29:05,560 Speaker 1: small companies um right when they're starting, and then they 519 00:29:05,560 --> 00:29:09,040 Speaker 1: bring them to forums for two years and basically hype 520 00:29:09,080 --> 00:29:12,800 Speaker 1: them up and and and teach them things. UM. Examples 521 00:29:12,800 --> 00:29:18,480 Speaker 1: of that would be Spotify, Twitter, Google, Wikipedia, and look 522 00:29:18,480 --> 00:29:20,360 Speaker 1: at how all of those companies turned out to be, 523 00:29:20,560 --> 00:29:23,160 Speaker 1: who they turned out to be, what ideologies they face, 524 00:29:23,560 --> 00:29:25,960 Speaker 1: who they keep on their program on their platforms, and 525 00:29:25,960 --> 00:29:28,600 Speaker 1: who they kick off their platforms. UM. I think it 526 00:29:28,640 --> 00:29:30,760 Speaker 1: all comes full circles back to the World Economic Forum. 527 00:29:30,960 --> 00:29:33,520 Speaker 1: And I'm not saying each of these individuals are trying 528 00:29:33,560 --> 00:29:37,040 Speaker 1: to destroy people, but collectively these policies do. I mean, 529 00:29:37,120 --> 00:29:39,880 Speaker 1: I don't know if there's a more destructive force than 530 00:29:39,920 --> 00:29:43,000 Speaker 1: some of these green policies that they're trying to push. Essentially, 531 00:29:43,000 --> 00:29:49,000 Speaker 1: what it does is impoverished societies, gives government control and 532 00:29:49,120 --> 00:29:51,720 Speaker 1: you know it's just basically the intent of it is 533 00:29:51,760 --> 00:29:58,520 Speaker 1: population control. That's exactly right. And another there's the next pillar, environmental, right, UM, 534 00:29:58,560 --> 00:30:02,040 Speaker 1: phasing out oil and gas to each net zero, which 535 00:30:02,080 --> 00:30:06,080 Speaker 1: is um, like my least favorite thing to that comes 536 00:30:06,080 --> 00:30:10,280 Speaker 1: out of my mouth. It's ah, I live in Alberta. Um, 537 00:30:10,320 --> 00:30:13,120 Speaker 1: it's I think the third largest oil reserve in the world, 538 00:30:14,080 --> 00:30:18,360 Speaker 1: and uh, we don't pump out to Canada. Canada doesn't 539 00:30:18,360 --> 00:30:22,760 Speaker 1: take our oil. We we we take oil from the 540 00:30:22,760 --> 00:30:26,560 Speaker 1: Middle East because our governments are telling our people that 541 00:30:26,640 --> 00:30:29,560 Speaker 1: oil is so bad that we shouldn't be doing like 542 00:30:29,560 --> 00:30:31,640 Speaker 1: we shouldn't be grabbing it from us because we're producing 543 00:30:31,680 --> 00:30:35,120 Speaker 1: so much carbon or whatever. I don't even know. And 544 00:30:35,160 --> 00:30:38,360 Speaker 1: then we go and take it um from Saudi Arabia 545 00:30:38,360 --> 00:30:40,240 Speaker 1: and Iran where they throw gay people off a cliff 546 00:30:40,280 --> 00:30:42,400 Speaker 1: and then here they talk about how we need to 547 00:30:42,400 --> 00:30:44,440 Speaker 1: be more diverse and stuff like that. You know, like 548 00:30:44,480 --> 00:30:47,640 Speaker 1: it's just it's just such a weird um thing that 549 00:30:47,800 --> 00:30:50,640 Speaker 1: just just comes like again full circle back to the 550 00:30:50,640 --> 00:30:53,640 Speaker 1: World Economic Forum and the u N of their their 551 00:30:53,680 --> 00:30:56,720 Speaker 1: net zero policies. It's it will destroy us. It's like 552 00:30:56,760 --> 00:31:02,200 Speaker 1: the agenda, what is it? Yeah, that's the popular popular 553 00:31:02,200 --> 00:31:04,440 Speaker 1: word that that's that's where they're going and that and 554 00:31:04,480 --> 00:31:07,560 Speaker 1: that just doesn't just come with the climate change aspect 555 00:31:07,560 --> 00:31:10,320 Speaker 1: to like that also comes with their planning on releasing 556 00:31:10,640 --> 00:31:14,360 Speaker 1: um like they gate keep technology to basically all the 557 00:31:14,400 --> 00:31:17,760 Speaker 1: way into as well. UM. You'll see in the documentary 558 00:31:18,200 --> 00:31:23,640 Speaker 1: the the UH CEO of Nokia, he says that smartphones 559 00:31:23,720 --> 00:31:26,120 Speaker 1: as we know it by will will be no more. 560 00:31:26,240 --> 00:31:28,320 Speaker 1: Instead that it will just be inside of our bodies 561 00:31:29,240 --> 00:31:32,360 Speaker 1: and like, I mean, there's sure there's two aspects to that, 562 00:31:32,400 --> 00:31:35,320 Speaker 1: but I really want to focus on that thirty like date, 563 00:31:35,360 --> 00:31:37,440 Speaker 1: Like why that date? And that's why I think that 564 00:31:37,480 --> 00:31:39,960 Speaker 1: we're in the thick of it right now. Of these 565 00:31:39,960 --> 00:31:41,720 Speaker 1: things need to be radically changed now so that we 566 00:31:41,720 --> 00:31:43,960 Speaker 1: can start accepting things by then. How do they come 567 00:31:44,000 --> 00:31:45,960 Speaker 1: to that date? Do you know? I don't know. I 568 00:31:46,000 --> 00:31:48,280 Speaker 1: think it's weird. Um I know a lot of it's 569 00:31:48,320 --> 00:31:50,160 Speaker 1: to do with the U n uh. I know in 570 00:31:50,200 --> 00:31:53,480 Speaker 1: the nineties that they talked about it was called agenda 571 00:31:53,880 --> 00:31:58,960 Speaker 1: one um, which is my presumption would be would be 572 00:32:00,560 --> 00:32:02,920 Speaker 1: and then all of a sudden, it's agenda And I 573 00:32:02,920 --> 00:32:06,440 Speaker 1: think that has changed for pr reasons because um us 574 00:32:06,480 --> 00:32:09,800 Speaker 1: conspiracy theorists called it out way back then. Quick break 575 00:32:10,000 --> 00:32:16,280 Speaker 1: more on the Great Reset. But see, that's the thing 576 00:32:16,440 --> 00:32:19,040 Speaker 1: is that I feel like yesterday's conspiracy theory is like 577 00:32:19,080 --> 00:32:22,320 Speaker 1: today is true. You know what I mean with like 578 00:32:22,360 --> 00:32:24,400 Speaker 1: all of this stuff, Like I I'm not gonna lie, 579 00:32:24,520 --> 00:32:26,920 Speaker 1: I you know, if I would not see myself having 580 00:32:26,960 --> 00:32:30,520 Speaker 1: this conversation like seven years ago. But a lot has 581 00:32:30,560 --> 00:32:33,640 Speaker 1: happened and my eyes are open and I am awake 582 00:32:33,720 --> 00:32:36,520 Speaker 1: and I think a lot of Americans are waking up 583 00:32:36,560 --> 00:32:39,040 Speaker 1: to the you know, the things that are happening around them. 584 00:32:39,200 --> 00:32:42,560 Speaker 1: I think we've really just had this gigantic curtain being 585 00:32:42,600 --> 00:32:45,000 Speaker 1: pulled back on the way these corporations work, the way 586 00:32:45,040 --> 00:32:47,320 Speaker 1: our governments work, and they don't work for us anymore. 587 00:32:47,360 --> 00:32:50,360 Speaker 1: And I think that's the scary thing. No, I I agree, 588 00:32:50,520 --> 00:32:53,640 Speaker 1: and it sounds controversial, but I think COVID nineteen was 589 00:32:53,680 --> 00:32:57,360 Speaker 1: a very great blessing upon us. Well, I think it's 590 00:32:57,360 --> 00:32:59,280 Speaker 1: opened a lot of I mean, you know, I used 591 00:32:59,320 --> 00:33:02,000 Speaker 1: to think America is immune to tyrty and I was wrong, 592 00:33:02,120 --> 00:33:05,600 Speaker 1: so like very very wrong, and uh, you know, found 593 00:33:05,640 --> 00:33:06,960 Speaker 1: out very you know. I I give a lot of 594 00:33:07,000 --> 00:33:09,520 Speaker 1: credit to, uh, some of these guys like you know, 595 00:33:09,600 --> 00:33:11,960 Speaker 1: Ron Paul and Ran Paul and you know, Thomas Massey 596 00:33:12,000 --> 00:33:13,960 Speaker 1: had a lot of these guys who were way early 597 00:33:14,160 --> 00:33:16,640 Speaker 1: on this stuff and you know, had it right and 598 00:33:16,680 --> 00:33:19,960 Speaker 1: remained consistent. So, you know, kudos to those guys for 599 00:33:21,160 --> 00:33:24,840 Speaker 1: you know, recognizing that centralized government is the death of 600 00:33:24,840 --> 00:33:27,920 Speaker 1: liberty and freedom. So uh, you know, we kind of 601 00:33:27,920 --> 00:33:30,520 Speaker 1: always knew it, but they just really saw it in 602 00:33:30,560 --> 00:33:32,320 Speaker 1: a way that a lot of people didn't, you know, 603 00:33:32,320 --> 00:33:36,040 Speaker 1: what do you hope people take from the docuseries? Yeah, 604 00:33:36,080 --> 00:33:38,160 Speaker 1: I mean if you were to watch the two episodes 605 00:33:38,240 --> 00:33:41,400 Speaker 1: right now, you would learn a lot, sure, Um, but 606 00:33:41,480 --> 00:33:47,080 Speaker 1: you wouldn't You wouldn't come out of it happy or 607 00:33:47,840 --> 00:33:51,240 Speaker 1: or feeling like a good feeling of of all my 608 00:33:51,320 --> 00:33:54,600 Speaker 1: life is now screwed. Right, that's how That's how you're 609 00:33:54,600 --> 00:33:57,080 Speaker 1: going to come out of it. Um. And I kind 610 00:33:57,080 --> 00:34:00,800 Speaker 1: of do that on purpose because and and what you'll 611 00:34:00,800 --> 00:34:02,600 Speaker 1: take out of it And I'll spoil the ending here. Um, 612 00:34:02,640 --> 00:34:04,200 Speaker 1: I've spoiled it on every show I do. I think 613 00:34:04,200 --> 00:34:07,880 Speaker 1: it's very important to to spoil it. Um Kashchwab wrote 614 00:34:07,920 --> 00:34:11,760 Speaker 1: in his book about something called quantum politics, and quantum 615 00:34:11,760 --> 00:34:16,520 Speaker 1: politics works just like quantum physics, of there's basically infinite, 616 00:34:16,800 --> 00:34:19,960 Speaker 1: there's so many possibilities and uh, you can never narrow 617 00:34:19,960 --> 00:34:23,919 Speaker 1: it down. Quantum politics works just like that. By there 618 00:34:23,960 --> 00:34:27,440 Speaker 1: are eight billion people in the world, and uh, something 619 00:34:27,480 --> 00:34:30,120 Speaker 1: I always bring up the analogy of is that there 620 00:34:30,160 --> 00:34:34,200 Speaker 1: are two fifty million on Twitter, million on Instagram, and 621 00:34:34,280 --> 00:34:37,560 Speaker 1: I think four fifty million on Facebook. That's not a 622 00:34:37,560 --> 00:34:40,080 Speaker 1: lot of people. That's really not a lot of people. 623 00:34:40,440 --> 00:34:42,160 Speaker 1: If you really look at the grand scale of these 624 00:34:42,160 --> 00:34:45,600 Speaker 1: things and what kind of places and how that plays 625 00:34:45,600 --> 00:34:48,560 Speaker 1: into the quantum politics? Is that sure that we see 626 00:34:48,600 --> 00:34:52,319 Speaker 1: everybody's opinion, We see um what everybody believes in and 627 00:34:52,320 --> 00:34:55,719 Speaker 1: and maybe there's echo chambers and maybe there's um you know, 628 00:34:55,800 --> 00:34:59,799 Speaker 1: big fights about about policy or or about you know, 629 00:35:00,040 --> 00:35:03,279 Speaker 1: do we love Biden or not? UM? But there are 630 00:35:04,360 --> 00:35:06,680 Speaker 1: there are so many people in this earth who have 631 00:35:06,800 --> 00:35:10,440 Speaker 1: dreams aspirations in a line in the sand. And I 632 00:35:10,480 --> 00:35:13,160 Speaker 1: think that the line in the sand applies for everybody 633 00:35:13,440 --> 00:35:15,400 Speaker 1: when they start coming, for all the colored workers, the 634 00:35:15,400 --> 00:35:17,680 Speaker 1: blue collar workers, the white color workers, I think that 635 00:35:17,719 --> 00:35:20,279 Speaker 1: they will be the first to stand up. But it 636 00:35:20,320 --> 00:35:23,760 Speaker 1: even gets down to you know, the scarlet um, scarlet 637 00:35:24,040 --> 00:35:26,920 Speaker 1: scarf worker, collar worker, the people who get naked in 638 00:35:26,960 --> 00:35:29,640 Speaker 1: front of a camera for a living. And I always 639 00:35:29,640 --> 00:35:31,719 Speaker 1: bring that up because that's how far it goes as 640 00:35:32,080 --> 00:35:33,640 Speaker 1: one day they won't be able to do that, or 641 00:35:33,680 --> 00:35:36,040 Speaker 1: one day it's gonna mess with them too. And that 642 00:35:36,320 --> 00:35:40,719 Speaker 1: and that UM and that I think will will will 643 00:35:41,040 --> 00:35:45,000 Speaker 1: provide people with the perspective of have that hope that 644 00:35:45,200 --> 00:35:49,279 Speaker 1: all eight million people UM have like a have that 645 00:35:49,360 --> 00:35:50,879 Speaker 1: line in the sand where they can they're gonna say 646 00:35:50,880 --> 00:35:53,680 Speaker 1: no one day and and there they'll stand with you two. 647 00:35:53,680 --> 00:35:55,640 Speaker 1: And I think that people who need to hold the 648 00:35:55,640 --> 00:35:58,600 Speaker 1: line until then because Club Shua already admitted that this 649 00:35:58,640 --> 00:36:03,160 Speaker 1: is where things fail, that people have the innate uh 650 00:36:03,320 --> 00:36:07,640 Speaker 1: need for freedom and every dictator has fallen, everybody falls, 651 00:36:07,680 --> 00:36:11,680 Speaker 1: every UM fascist government falls, none of them work, and 652 00:36:11,719 --> 00:36:15,279 Speaker 1: the technocrats will fall to UM just because of our 653 00:36:15,520 --> 00:36:19,200 Speaker 1: need for freedom as as humans. And eight million of 654 00:36:19,320 --> 00:36:22,160 Speaker 1: us is a pretty eight billion, sorry of us as 655 00:36:22,200 --> 00:36:23,759 Speaker 1: a is a pretty big number that not a lot 656 00:36:23,800 --> 00:36:26,120 Speaker 1: of people put into perspective. Well, and the time to 657 00:36:26,160 --> 00:36:29,920 Speaker 1: say no is now, you know, before the still gets 658 00:36:29,920 --> 00:36:35,360 Speaker 1: worse and before they reach the deadline. Where can people 659 00:36:35,400 --> 00:36:38,920 Speaker 1: find the docuseries and support your work? Yeah, so the 660 00:36:38,960 --> 00:36:43,280 Speaker 1: doctor series is that expose the reset dot com UM. 661 00:36:43,400 --> 00:36:47,359 Speaker 1: We're completely crowdfunded for that docuseries. So if you if 662 00:36:47,360 --> 00:36:49,040 Speaker 1: you like it and you want a chip in ten 663 00:36:49,080 --> 00:36:51,160 Speaker 1: dollars or a hundred dollars, that's there's a there's an 664 00:36:51,160 --> 00:36:54,200 Speaker 1: option there um And then you can find me personally 665 00:36:54,200 --> 00:36:56,440 Speaker 1: on Twitter at key and simone forty four. It's why 666 00:36:56,480 --> 00:36:59,440 Speaker 1: I'm most active and share a lot of world economic 667 00:36:59,520 --> 00:37:02,960 Speaker 1: forums off UM. Just a quick shameless plug here just 668 00:37:03,000 --> 00:37:06,520 Speaker 1: because it releases today. I have another documentary coming out 669 00:37:06,520 --> 00:37:10,960 Speaker 1: about the farmers in the Netherlands. Um, this is what 670 00:37:11,040 --> 00:37:14,640 Speaker 1: the Great Reset actually looks like in action. Rather than 671 00:37:14,680 --> 00:37:16,640 Speaker 1: just listening to a bunch of clips of old dudes 672 00:37:16,680 --> 00:37:19,960 Speaker 1: telling you how to live, you can actually see, um, 673 00:37:20,080 --> 00:37:24,040 Speaker 1: real people get affected by this, real policies that they're 674 00:37:24,040 --> 00:37:26,319 Speaker 1: trying to enact. And you can watch that a farmer 675 00:37:26,400 --> 00:37:30,720 Speaker 1: documentary dot com. So Ken Simoney, thanks for joining the show. 676 00:37:30,760 --> 00:37:45,600 Speaker 1: Everyone go check out his docuseries Exposed the Reset dot com. 677 00:37:45,640 --> 00:37:48,400 Speaker 1: So that was interesting. I mean, look, a lot of 678 00:37:48,400 --> 00:37:52,160 Speaker 1: people say these you know, so it's a you know, conspiracy, 679 00:37:52,200 --> 00:37:54,360 Speaker 1: all this different stuff. But like, all you have to 680 00:37:54,400 --> 00:37:56,360 Speaker 1: do is go listen to some of these people in 681 00:37:56,440 --> 00:37:58,879 Speaker 1: their own words. And you even have the Advide Administration 682 00:37:58,960 --> 00:38:03,000 Speaker 1: admitting that the Reset on the green agendas for the 683 00:38:03,040 --> 00:38:06,600 Speaker 1: Liberal order, etcetera, etcetera. So just listen to them and 684 00:38:06,680 --> 00:38:11,400 Speaker 1: their own words. So appreciate you guys listening. Every Monday 685 00:38:11,480 --> 00:38:14,399 Speaker 1: and Thursday, you can listen to the Truth with Lisa Booth. 686 00:38:14,480 --> 00:38:17,080 Speaker 1: Want to take my producer John Cassio for putting all 687 00:38:17,120 --> 00:38:20,239 Speaker 1: this together. Please leave us a review, rate us five 688 00:38:20,280 --> 00:38:22,880 Speaker 1: stars on Apple Podcast I always love hearing from you, 689 00:38:23,160 --> 00:38:23,919 Speaker 1: Until next time.