1 00:00:11,657 --> 00:00:14,937 Speaker 1: You're listening to the Buck Sexton Chow podcast. Make sure 2 00:00:14,937 --> 00:00:17,577 Speaker 1: you subscribe to the podcast on the iHeart Radio app 3 00:00:17,857 --> 00:00:21,817 Speaker 1: or wherever you get your podcasts. Team Welcome to the 4 00:00:21,937 --> 00:00:24,857 Speaker 1: Freedom Hunt. Friday, September twenty third edition of the program. 5 00:00:24,897 --> 00:00:29,657 Speaker 1: We have stock market dropping, the economy about to get 6 00:00:29,897 --> 00:00:33,217 Speaker 1: really ugly, friends, and it is being reflected in the 7 00:00:33,217 --> 00:00:36,897 Speaker 1: polls that people are realizing these Democrats not good for 8 00:00:37,057 --> 00:00:38,937 Speaker 1: your four one K, the price of food, the price 9 00:00:38,937 --> 00:00:42,857 Speaker 1: of gas, your bottom line. Big problems ahead for Team 10 00:00:42,897 --> 00:00:45,777 Speaker 1: Biden if this continues. We can only hope got some 11 00:00:45,897 --> 00:00:49,857 Speaker 1: latest polls in places like Arizona, Georgia, Nevada to break 12 00:00:49,857 --> 00:00:54,137 Speaker 1: down for you super important Senate races, So we will 13 00:00:54,537 --> 00:00:58,017 Speaker 1: dive into that. Plus James Bond gonna get kind of 14 00:00:58,017 --> 00:01:03,137 Speaker 1: a remake here they say with a softer, kinder, gentler 15 00:01:03,777 --> 00:01:07,377 Speaker 1: male feminist James Bond, something along those lines. I have 16 00:01:07,617 --> 00:01:09,617 Speaker 1: thoughts on that, my friends, and then also do a 17 00:01:09,657 --> 00:01:12,337 Speaker 1: lot of cold ture on Friday. Here the Woman King 18 00:01:12,497 --> 00:01:16,777 Speaker 1: movie and the truth of the Dahomi tribe of West 19 00:01:16,817 --> 00:01:20,657 Speaker 1: Africa that has depicted in the movie. There is a 20 00:01:20,857 --> 00:01:25,177 Speaker 1: reason that there is now a boycott the movie movement 21 00:01:25,337 --> 00:01:28,737 Speaker 1: underway right now. Even though it's supposed to be pro 22 00:01:29,137 --> 00:01:33,977 Speaker 1: woke and left wing, and it's it's about a minority 23 00:01:34,217 --> 00:01:37,377 Speaker 1: female in the lead and doing amazing things and all 24 00:01:37,377 --> 00:01:40,697 Speaker 1: this stuff. The wokeness has a problem here because of 25 00:01:40,737 --> 00:01:42,777 Speaker 1: the history. And I will tell you some of that 26 00:01:42,857 --> 00:01:44,737 Speaker 1: history coming up. We've got an amazing show for you. 27 00:01:44,857 --> 00:01:48,377 Speaker 1: Oh and then VIVEC. Murphy, the Surgeon General, with the 28 00:01:48,417 --> 00:01:52,657 Speaker 1: weirdest thing that he has ever said. I think, ever, 29 00:01:53,177 --> 00:01:55,017 Speaker 1: what is it? You gotta stay with me if you 30 00:01:55,057 --> 00:01:58,417 Speaker 1: want to know data breaches, friends, happens all the time, 31 00:01:58,857 --> 00:02:01,737 Speaker 1: right You know how you have insurance on your home 32 00:02:01,937 --> 00:02:04,497 Speaker 1: or renter's insurance if you live in an apartment somewhere, 33 00:02:05,097 --> 00:02:08,297 Speaker 1: because you know, bad things happen. Think of Norton LifeLock 34 00:02:08,457 --> 00:02:11,937 Speaker 1: like insurance for your online identity, as in they're constantly 35 00:02:12,017 --> 00:02:15,177 Speaker 1: scanning to make sure that if your information is being 36 00:02:15,177 --> 00:02:18,017 Speaker 1: exposed online, which happens all the time. These big companies 37 00:02:18,417 --> 00:02:20,937 Speaker 1: that have a security breach, they send out some mass email. 38 00:02:21,017 --> 00:02:23,537 Speaker 1: Nobody reads it says, yeah, maybe your social Security number 39 00:02:23,577 --> 00:02:25,857 Speaker 1: was exposed on the dark web. You know, it just happens. 40 00:02:26,297 --> 00:02:28,297 Speaker 1: You Now you find out about this stuff, usually some 41 00:02:28,417 --> 00:02:30,737 Speaker 1: credit card with fifteen grand run up in your name 42 00:02:30,777 --> 00:02:33,817 Speaker 1: that you never took out. You need Norton LifeLock to 43 00:02:33,897 --> 00:02:36,817 Speaker 1: have your back. I've been a Norton LifeLock customer for years. 44 00:02:36,897 --> 00:02:39,857 Speaker 1: It's important to understand how cybercrime and identity theft are 45 00:02:39,897 --> 00:02:44,297 Speaker 1: affecting our lives. Your personal information gets exposed so often 46 00:02:44,977 --> 00:02:48,057 Speaker 1: it makes it dangerously either easy for the cyber criminals 47 00:02:48,857 --> 00:02:52,657 Speaker 1: to use it and to steal your identity. LifeLock to 48 00:02:52,737 --> 00:02:54,897 Speaker 1: text and alerts you to potential identity threats you may 49 00:02:54,897 --> 00:02:56,777 Speaker 1: not spot on your own, like loans or credit cards 50 00:02:56,777 --> 00:02:59,257 Speaker 1: taken out in your name. You need LifeLock. If you're 51 00:02:59,257 --> 00:03:01,737 Speaker 1: gonna be doing anything online, I have it. You should 52 00:03:01,777 --> 00:03:04,257 Speaker 1: have it too. No one can prevent all identity theft 53 00:03:04,337 --> 00:03:07,137 Speaker 1: or monitor all transactions at all businesses, but it is 54 00:03:07,137 --> 00:03:10,497 Speaker 1: easy to help protect yourself with LifeLock. Join now save 55 00:03:10,577 --> 00:03:14,057 Speaker 1: up a twenty five percent off your first year with 56 00:03:14,137 --> 00:03:17,457 Speaker 1: promo code buck call one eight hundred LifeLock, or go 57 00:03:17,577 --> 00:03:20,057 Speaker 1: online to LifeLock dot com and use promo code buck 58 00:03:20,137 --> 00:03:25,617 Speaker 1: that's promo code buc K for twenty five percent off. Look, 59 00:03:25,657 --> 00:03:29,977 Speaker 1: the economy is in bad shape. There's no way around it. 60 00:03:30,017 --> 00:03:35,977 Speaker 1: I mean Just imagine here is Karne Jean Pierre telling 61 00:03:36,057 --> 00:03:39,857 Speaker 1: everybody that Biden, don't worry. He understands how much everything 62 00:03:39,937 --> 00:03:42,257 Speaker 1: sucks right now for your family when it comes to 63 00:03:42,297 --> 00:03:45,777 Speaker 1: the economy. So the President understands that when it comes 64 00:03:45,817 --> 00:03:48,937 Speaker 1: to the economy, he understands how much that's crushing families. 65 00:03:49,097 --> 00:03:51,617 Speaker 1: He gets it that people are sitting around their kitchen 66 00:03:51,657 --> 00:03:53,937 Speaker 1: table and trying to figure out how are they going 67 00:03:53,977 --> 00:03:57,577 Speaker 1: to pay for their groceries, and so that's why heay. 68 00:03:57,857 --> 00:04:02,297 Speaker 1: So imagine just taking that as a sound bite, and 69 00:04:02,657 --> 00:04:05,297 Speaker 1: if you're if you're offering this up as hey, compare 70 00:04:05,337 --> 00:04:09,697 Speaker 1: that to what Biden promises herminal clash, inside out, up, down, 71 00:04:09,737 --> 00:04:16,377 Speaker 1: all around, you know, do the electric slide, macarena whatever, right, 72 00:04:16,457 --> 00:04:20,377 Speaker 1: Imagine what Biden was saying back in the day, Hey, 73 00:04:20,857 --> 00:04:23,377 Speaker 1: macar raina those a few Mike having to throw back 74 00:04:23,377 --> 00:04:25,177 Speaker 1: a moment to the mock. Remember the macarena was all 75 00:04:25,217 --> 00:04:28,057 Speaker 1: the rage, and you did you did the thing with 76 00:04:28,097 --> 00:04:31,417 Speaker 1: the you know now, I don't know, I think you've 77 00:04:31,417 --> 00:04:34,057 Speaker 1: only I think maybe on a senior's cruise they'll rock 78 00:04:34,137 --> 00:04:36,417 Speaker 1: the macaran You don't see a lot of mackerin anymore anyway, 79 00:04:36,657 --> 00:04:38,857 Speaker 1: Biden was talking a big game back in the day, 80 00:04:38,977 --> 00:04:41,017 Speaker 1: and he's not really talking a big game so much anymore. 81 00:04:41,017 --> 00:04:45,137 Speaker 1: In fact, he's chief spokesperson, the press secretary Krejean Pierre 82 00:04:45,257 --> 00:04:47,697 Speaker 1: is saying, you heard it. I mean, Biden knows it's 83 00:04:47,737 --> 00:04:50,617 Speaker 1: hard for you to pay for your groceries. Biden knows that, 84 00:04:50,737 --> 00:04:53,897 Speaker 1: you know, things suck right now. Oh and Democrats are realizing, 85 00:04:53,897 --> 00:04:56,137 Speaker 1: you know, their whole thing about how they're gonna lie 86 00:04:56,217 --> 00:04:59,737 Speaker 1: about abortion and the reality of abortion in a post 87 00:04:59,777 --> 00:05:02,297 Speaker 1: Obs world, and that was going to deliver them the election, 88 00:05:02,737 --> 00:05:04,537 Speaker 1: and there was gonna be no red wave and all 89 00:05:04,537 --> 00:05:10,697 Speaker 1: this stuff. Mmmmm. The economy, immigration crime, Say with me, everybody, 90 00:05:10,857 --> 00:05:15,817 Speaker 1: the economy, immigration crime. We absolutely have to hammer home 91 00:05:16,497 --> 00:05:20,657 Speaker 1: those three issues. Those are weak points for Democrats with 92 00:05:21,057 --> 00:05:27,377 Speaker 1: good reason. They have made crazy, crazy decisions that have 93 00:05:27,457 --> 00:05:30,457 Speaker 1: resulted in a lot of suffering, a lot of the 94 00:05:30,497 --> 00:05:33,737 Speaker 1: destruction of wealth, a lot of misery, a lot of unsafety, 95 00:05:33,777 --> 00:05:39,257 Speaker 1: a lot of unsafe neighborhoods, and the spreading of lawlessness. 96 00:05:39,297 --> 00:05:41,937 Speaker 1: So and then there's the border, of course, and all 97 00:05:41,977 --> 00:05:44,417 Speaker 1: the fentinel coming across and all the illegal migrants and 98 00:05:44,497 --> 00:05:48,617 Speaker 1: everything that's going on, and this Biden administration has nothing 99 00:05:48,657 --> 00:05:52,177 Speaker 1: to show for two years other than what the vaccine 100 00:05:52,217 --> 00:05:57,857 Speaker 1: mandates that were heavy handed, beyond belief, authoritarian, unnecessary, didn't 101 00:05:57,857 --> 00:06:02,297 Speaker 1: even work. He might have seen this, actually, Rochelle will Lensky, 102 00:06:02,657 --> 00:06:05,737 Speaker 1: I gotta find this one. Actually, Rochelle Wilensky, who is 103 00:06:06,617 --> 00:06:10,657 Speaker 1: who is the head of the CDC, is out there 104 00:06:10,817 --> 00:06:13,297 Speaker 1: and this is amazing sheet. She took a photo of 105 00:06:13,297 --> 00:06:15,417 Speaker 1: herself kicking in old school. First of all, she's masked up. 106 00:06:16,217 --> 00:06:19,457 Speaker 1: And I'm gonna say this, any medical practitioner right now, 107 00:06:19,457 --> 00:06:23,417 Speaker 1: any medical practitioner who tells me to mask up or 108 00:06:23,537 --> 00:06:26,297 Speaker 1: is wearing a mask just for a normal interaction on 109 00:06:26,417 --> 00:06:28,417 Speaker 1: doctor's office whatever, or we're gonna go to the hospital, 110 00:06:28,977 --> 00:06:31,777 Speaker 1: It is to me the same thing as if they 111 00:06:31,777 --> 00:06:34,017 Speaker 1: were saying we're gonna go get a bowl of leeches, 112 00:06:35,537 --> 00:06:38,737 Speaker 1: or we're going to go make sure that we clear 113 00:06:39,297 --> 00:06:43,217 Speaker 1: the miasmatic air, which was the bad air that they 114 00:06:43,257 --> 00:06:46,377 Speaker 1: thought caused It was like bad smells basically that they 115 00:06:46,377 --> 00:06:48,457 Speaker 1: thought caused things like cholera. No, it actually was in 116 00:06:48,497 --> 00:06:52,977 Speaker 1: the water. But the top scientist in the world for 117 00:06:53,017 --> 00:06:56,097 Speaker 1: a long time believe that it was bad air that 118 00:06:56,177 --> 00:06:59,817 Speaker 1: was causing cholera and other outbreaks in cities in the 119 00:06:59,897 --> 00:07:03,297 Speaker 1: nineteenth century in particular. And no, so yes, get the 120 00:07:03,377 --> 00:07:05,297 Speaker 1: leeches and put a mask on. That's how I feel 121 00:07:05,297 --> 00:07:08,497 Speaker 1: about that. But she's got a mask on her face, 122 00:07:09,177 --> 00:07:12,777 Speaker 1: and she said, today I received my updated COVID nineteen vaccine, 123 00:07:13,377 --> 00:07:19,137 Speaker 1: and she wrote, laboratory data suggests these updated vaccines provide 124 00:07:19,297 --> 00:07:25,097 Speaker 1: increased protection against currently circulating variants. If you receive your 125 00:07:25,217 --> 00:07:28,897 Speaker 1: last COVID nineteen vaccine over two months ago, I encourage 126 00:07:28,897 --> 00:07:31,537 Speaker 1: you to get to join me and get your updated 127 00:07:31,617 --> 00:07:37,057 Speaker 1: vaccine now. Okay, so much here. First of all, if 128 00:07:37,097 --> 00:07:40,737 Speaker 1: you got a shot more than two months ago, she 129 00:07:40,937 --> 00:07:44,377 Speaker 1: is essentially telling you these things are good for about 130 00:07:44,377 --> 00:07:48,537 Speaker 1: two months at best, at best two months. She is 131 00:07:48,657 --> 00:07:53,737 Speaker 1: on shot number five. Count them one, two, three, four, five, 132 00:07:54,057 --> 00:07:55,937 Speaker 1: She's on shot number five right now. This is the 133 00:07:55,937 --> 00:07:58,577 Speaker 1: head of the Centers for Disease Control. You know, there 134 00:07:58,617 --> 00:08:00,657 Speaker 1: always the good guys in the Zombie Apocalypse movie. We 135 00:08:00,777 --> 00:08:02,577 Speaker 1: have to get to the Centers for Disease Control and 136 00:08:02,617 --> 00:08:04,217 Speaker 1: they're going to figure out a way to turn around 137 00:08:04,217 --> 00:08:07,377 Speaker 1: the zombie apocalypse. Let me tell you if humanity is 138 00:08:07,817 --> 00:08:11,417 Speaker 1: going to rest on the CDC sciences figuring out how 139 00:08:11,457 --> 00:08:14,657 Speaker 1: to defeat the zombies. You better learn to start speaking zombie. 140 00:08:15,097 --> 00:08:17,977 Speaker 1: It's all over. CDC is gonna lose that one. Yeah, 141 00:08:18,017 --> 00:08:22,697 Speaker 1: no question about it. Zombie flicks are always fun, so 142 00:08:23,257 --> 00:08:25,857 Speaker 1: she said. But there's something else, very interesting I want 143 00:08:25,857 --> 00:08:32,177 Speaker 1: to point out here. She says, laboratory data suggest these 144 00:08:32,417 --> 00:08:39,457 Speaker 1: updated vaccines provide increased protection against currently circulating variants. We'll 145 00:08:39,457 --> 00:08:44,497 Speaker 1: hold on a second. What does that even mean? Because 146 00:08:44,617 --> 00:08:50,417 Speaker 1: they actually only have antibody elevation that they have shown 147 00:08:51,137 --> 00:08:55,737 Speaker 1: in mice, no human trials. Now, keep in mind, they 148 00:08:55,777 --> 00:09:01,697 Speaker 1: can't even show that in mice the elevated antibody protection 149 00:09:02,777 --> 00:09:05,577 Speaker 1: would stop the mice from getting COVID or having a 150 00:09:05,577 --> 00:09:09,577 Speaker 1: severe reaction to COVID. They aren't actually telling they're making 151 00:09:09,577 --> 00:09:11,977 Speaker 1: this decision. And I am not exaggerating. I'm not making 152 00:09:11,977 --> 00:09:14,017 Speaker 1: this up. This is the exact, this is the truth. 153 00:09:14,577 --> 00:09:18,017 Speaker 1: They're making a decision. They're saying, we tested this in mice. 154 00:09:18,497 --> 00:09:23,497 Speaker 1: In mice, it caused elevated antibodies. Therefore, that is the 155 00:09:23,817 --> 00:09:31,137 Speaker 1: laboratory data that suggests these updated vaccines provide increased protection. 156 00:09:32,737 --> 00:09:35,977 Speaker 1: I mean, think about where they are now compared to 157 00:09:36,257 --> 00:09:38,497 Speaker 1: what eighteen months ago was you won't get it, you 158 00:09:38,537 --> 00:09:42,817 Speaker 1: won't spread it, ninety five percent effective. Now it's yeah, 159 00:09:42,857 --> 00:09:45,217 Speaker 1: we shot some mice up with this stuff. The mice 160 00:09:45,217 --> 00:09:47,537 Speaker 1: didn't grow two heads, you know, bottom baying. Time to 161 00:09:47,537 --> 00:09:52,457 Speaker 1: get your shot. Oh oh wow. People talk about, you know, 162 00:09:52,457 --> 00:09:55,777 Speaker 1: abolish their defund The FBI abolished the CDC, the CDCC 163 00:09:55,857 --> 00:10:02,457 Speaker 1: absolute worst. H James Bond. They're gonna ruin James Bond. 164 00:10:02,497 --> 00:10:06,537 Speaker 1: I'm telling you they're going to do it. But we'll 165 00:10:06,577 --> 00:10:09,537 Speaker 1: get there in just a second. Look, this is a 166 00:10:09,577 --> 00:10:11,697 Speaker 1: hard turn, there's no way around it. But this is 167 00:10:11,697 --> 00:10:14,497 Speaker 1: absolutely essential. It is critical. It is a mission that 168 00:10:14,537 --> 00:10:16,577 Speaker 1: I want you to join me on and it has 169 00:10:16,577 --> 00:10:19,777 Speaker 1: to do with actually saving lives, saving the lives of 170 00:10:20,337 --> 00:10:24,537 Speaker 1: preborn babies, babies in the womb. You've heard the rhetoric, 171 00:10:24,537 --> 00:10:27,297 Speaker 1: You've seen what Stacy Abrams said recently. It's not a heartbeat. 172 00:10:28,217 --> 00:10:30,937 Speaker 1: Places like Colorado of past laws. That's say, all nine 173 00:10:30,977 --> 00:10:33,737 Speaker 1: months of her pregnancy. Tim Ryan, who's running for Senate 174 00:10:33,777 --> 00:10:36,297 Speaker 1: in Ohio, all nine months of her pregnancy, Stacey Abrams 175 00:10:36,297 --> 00:10:39,297 Speaker 1: said the same thing. They are pushing for this Still 176 00:10:39,337 --> 00:10:41,937 Speaker 1: don't think that because of the Supreme Court decision, this 177 00:10:41,977 --> 00:10:44,937 Speaker 1: battle is won or over anything like that. No, Now 178 00:10:44,977 --> 00:10:49,497 Speaker 1: the battle for hearts and minds and saving babies lives 179 00:10:49,577 --> 00:10:52,857 Speaker 1: is under way. Now there's our personal beliefs and our 180 00:10:52,897 --> 00:10:55,737 Speaker 1: personal actions, and of course being pro life is the 181 00:10:55,857 --> 00:10:59,337 Speaker 1: righteous and moral position, and it's important for us to 182 00:10:59,417 --> 00:11:01,657 Speaker 1: live our lives that way. But what are you doing 183 00:11:01,657 --> 00:11:03,977 Speaker 1: to how bothers live their lives that way? What are 184 00:11:04,017 --> 00:11:07,897 Speaker 1: you doing to help save lives for the pro life cause? 185 00:11:09,097 --> 00:11:11,977 Speaker 1: You need to You need to see what's going on 186 00:11:12,497 --> 00:11:17,817 Speaker 1: with this organization called Preborn. Okay, Preborn Pregnancy Clinics have 187 00:11:17,937 --> 00:11:20,417 Speaker 1: been in business for sixteen years, but their business is 188 00:11:20,457 --> 00:11:24,737 Speaker 1: just saving lives. That's why they exist. They have ultrasounds 189 00:11:24,777 --> 00:11:27,177 Speaker 1: that they give to women. They give women a lot 190 00:11:27,217 --> 00:11:29,217 Speaker 1: of support, a lot of love and help pregnant mother 191 00:11:29,377 --> 00:11:33,297 Speaker 1: pregnant women mothers, and they provide them with free ultrasounds 192 00:11:33,337 --> 00:11:36,537 Speaker 1: because once a mother sees the ultrasound of the baby, 193 00:11:37,097 --> 00:11:42,177 Speaker 1: overwhelmingly she chooses life. Preborn wants to save tens of 194 00:11:42,257 --> 00:11:45,897 Speaker 1: thousands of babies lives this year. All you have to 195 00:11:45,937 --> 00:11:48,897 Speaker 1: do is donate. They're already out there doing this, but 196 00:11:48,937 --> 00:11:51,457 Speaker 1: they need your help. They need funding. Do you want 197 00:11:51,497 --> 00:11:55,657 Speaker 1: to help save lives? Are you really pro life. You 198 00:11:55,697 --> 00:11:58,897 Speaker 1: can do something about it right now. Dial pound two 199 00:11:58,977 --> 00:12:03,017 Speaker 1: five zero and say the keyword baby. That's pound two 200 00:12:03,097 --> 00:12:06,137 Speaker 1: five zero and say the keyword to your phone, say 201 00:12:06,137 --> 00:12:09,657 Speaker 1: the keyword baby. Or you can donate securely at preborn 202 00:12:09,777 --> 00:12:14,617 Speaker 1: dot com slash buck. That's preborn dot com slash buc k. 203 00:12:14,937 --> 00:12:18,057 Speaker 1: Let's do this. Let's help Preborn accomplish its mission of 204 00:12:18,137 --> 00:12:23,937 Speaker 1: saving babies lives one more time. Preborn dot com slash buck. Okay, 205 00:12:24,857 --> 00:12:27,857 Speaker 1: now we're going to the weekend, so I want to 206 00:12:27,897 --> 00:12:30,057 Speaker 1: talk a little pop culture stuff for a little bit 207 00:12:30,097 --> 00:12:35,297 Speaker 1: here the new James Bond situation. I think James Bond 208 00:12:35,417 --> 00:12:39,177 Speaker 1: is one of the most amazing fictional characters created in 209 00:12:39,217 --> 00:12:43,337 Speaker 1: the twentieth century. And Ian Fleming, it's really a work 210 00:12:43,497 --> 00:12:46,937 Speaker 1: of creative genius. Now people don't know this. I think 211 00:12:47,057 --> 00:12:50,577 Speaker 1: Fleming worked in the Naval Intelligence Service for Britain in 212 00:12:50,617 --> 00:12:54,577 Speaker 1: World War Two. He was a part of Operation Mincemeat, 213 00:12:54,897 --> 00:12:57,897 Speaker 1: which they just made a Netflix movie of which was 214 00:12:57,977 --> 00:13:01,537 Speaker 1: pretty good, a little slow, but pretty well done. I 215 00:13:01,577 --> 00:13:03,937 Speaker 1: guess for what it is where they floated a dead 216 00:13:03,937 --> 00:13:07,377 Speaker 1: body for with this information to convince the Nazis they 217 00:13:07,377 --> 00:13:09,537 Speaker 1: were going to invade Grease and not Sicily. This is 218 00:13:09,577 --> 00:13:12,777 Speaker 1: the Brits, the British invasion of Sicily in World War Two. 219 00:13:13,657 --> 00:13:16,617 Speaker 1: And actually he was a part of meaning Ian Fleming 220 00:13:16,737 --> 00:13:19,417 Speaker 1: was a part of Operation Golden Eye. I remember the 221 00:13:19,457 --> 00:13:22,937 Speaker 1: Golden Eye movie with Travillion and the guy who was 222 00:13:22,977 --> 00:13:24,857 Speaker 1: in Game of Thrones I forget his name right now, 223 00:13:25,697 --> 00:13:27,857 Speaker 1: but there was a real Operation Golden Eye in World 224 00:13:27,857 --> 00:13:29,737 Speaker 1: War Two that Fleming was a part of, which was 225 00:13:29,817 --> 00:13:35,977 Speaker 1: essentially a leave behind sabotage operation in Spain. So he 226 00:13:36,097 --> 00:13:38,857 Speaker 1: understood that world, that secret intelligence world, very well. And 227 00:13:38,857 --> 00:13:42,097 Speaker 1: in fact, the American CIA I used to work for, 228 00:13:42,217 --> 00:13:45,857 Speaker 1: the American Intelligence Service was built on and even borrows 229 00:13:45,937 --> 00:13:50,057 Speaker 1: words and structure from the British Secret Intelligence Service. So 230 00:13:50,057 --> 00:13:52,577 Speaker 1: they were really the first in this. They were really 231 00:13:52,577 --> 00:13:57,457 Speaker 1: the pioneers and the modern espionage, modern intelligence service world. 232 00:13:57,977 --> 00:14:00,657 Speaker 1: And James Bond, it's just an awesome character. While I 233 00:14:00,697 --> 00:14:03,737 Speaker 1: bring this up, the next James Bond they're saying is 234 00:14:03,777 --> 00:14:07,697 Speaker 1: going to be more sensitive and have bigger roles for women. 235 00:14:08,777 --> 00:14:13,097 Speaker 1: Look could be relatively minor. Because they're talking about Tom Hardy, 236 00:14:13,137 --> 00:14:14,617 Speaker 1: who I think is one of the best actors out 237 00:14:14,657 --> 00:14:18,297 Speaker 1: there on the scene these days. They're talking about Henry Cavill, 238 00:14:18,417 --> 00:14:20,337 Speaker 1: who's like so handsome, but everyone's like, how is it 239 00:14:20,337 --> 00:14:22,857 Speaker 1: possible to be as handsome as that guy? Uh, they're 240 00:14:22,857 --> 00:14:26,857 Speaker 1: they're talking about some some good options to play that 241 00:14:26,977 --> 00:14:29,537 Speaker 1: James Bond. But you know, for all I know, they 242 00:14:29,537 --> 00:14:32,657 Speaker 1: could decide that James Bond is actually non binary and 243 00:14:32,777 --> 00:14:36,657 Speaker 1: goes by they and you know, the women and you know, 244 00:14:36,697 --> 00:14:38,817 Speaker 1: the Bond girls have been a thing for decades. Some 245 00:14:38,857 --> 00:14:42,257 Speaker 1: of the most beautiful women in our you know, Western 246 00:14:42,337 --> 00:14:44,897 Speaker 1: world or around the world. I should say some of 247 00:14:44,897 --> 00:14:47,417 Speaker 1: those beautiful women have been Bond girls. That was a 248 00:14:47,457 --> 00:14:50,417 Speaker 1: big career moment for you know, Halle Berry was a 249 00:14:50,417 --> 00:14:52,577 Speaker 1: Bond girl. Sophia Loren was a bomb but right, I 250 00:14:52,577 --> 00:14:55,137 Speaker 1: mean good. I can't remember all the Bond grow Charlie 251 00:14:55,217 --> 00:14:57,577 Speaker 1: Sheen's ex wife, I don't. I can't remember all their names. 252 00:14:57,577 --> 00:15:01,577 Speaker 1: You know, um, the woman who plays uh Jean Gray 253 00:15:01,657 --> 00:15:07,217 Speaker 1: in the X Men franchise, Fanca Jansen. Apparently my knowledge 254 00:15:07,217 --> 00:15:11,857 Speaker 1: of Dutch models was better than I thought, so, so yeah, 255 00:15:11,897 --> 00:15:14,497 Speaker 1: they're they're bond girls. Is the next Bond girl going 256 00:15:14,537 --> 00:15:19,137 Speaker 1: to be along the lines of what you're seeing in 257 00:15:19,217 --> 00:15:22,537 Speaker 1: sort of Abercrombie ads these days with not just body positivity. 258 00:15:22,617 --> 00:15:25,617 Speaker 1: But the bigger, the better is effectively the movement. Now, 259 00:15:25,657 --> 00:15:29,017 Speaker 1: like the more heavier person is, the more attractive the 260 00:15:29,097 --> 00:15:32,497 Speaker 1: person is supposed to be. I don't think that's going 261 00:15:32,537 --> 00:15:37,017 Speaker 1: to work very well. But wokeness. Wokeness comes for all 262 00:15:37,057 --> 00:15:39,337 Speaker 1: of our cultural icons at some point. It's a question 263 00:15:39,337 --> 00:15:43,577 Speaker 1: of do we push back to consumers make decisions based 264 00:15:43,617 --> 00:15:47,297 Speaker 1: upon their desire to stop this madness or do they 265 00:15:47,337 --> 00:15:50,697 Speaker 1: do they just go along with it. And then with that, 266 00:15:50,937 --> 00:15:54,537 Speaker 1: speaking of wokeness, The Woman King is a movie in 267 00:15:54,537 --> 00:15:56,937 Speaker 1: the theaters right now. Speaking of Ian Fleming in his 268 00:15:57,577 --> 00:15:59,817 Speaker 1: background in government as well, when I first arrived at 269 00:15:59,817 --> 00:16:04,297 Speaker 1: the CIA, uh, there's a there's a period. It's effectively 270 00:16:04,297 --> 00:16:08,137 Speaker 1: CIA one oh one indoctrination too. I mean doctoration sounds 271 00:16:08,137 --> 00:16:10,577 Speaker 1: bad like their brainwashing us. But you know, like, what 272 00:16:10,617 --> 00:16:13,737 Speaker 1: are you doing here? Where are the bathrooms? How do 273 00:16:13,737 --> 00:16:16,417 Speaker 1: you find your way around the facility? Ethics courses, things 274 00:16:16,457 --> 00:16:18,697 Speaker 1: like that, very basic stuff. Probably do this in a 275 00:16:18,737 --> 00:16:21,937 Speaker 1: lot of government agencies. And during that period, which was 276 00:16:22,057 --> 00:16:25,577 Speaker 1: a few months, they said, well, you know, we might 277 00:16:25,657 --> 00:16:27,657 Speaker 1: have you work. I ended up working the Iraq account. 278 00:16:27,657 --> 00:16:31,057 Speaker 1: They're like, just familiarize yourself with West Africa. You might 279 00:16:31,097 --> 00:16:34,217 Speaker 1: we might have you working West African political issues. And 280 00:16:34,257 --> 00:16:36,417 Speaker 1: I first, I'd studied the Middle East all through college 281 00:16:36,457 --> 00:16:38,737 Speaker 1: and had studied Arabic before nine to eleven. So to 282 00:16:38,817 --> 00:16:42,657 Speaker 1: be told classic government you may become a West Africa specialist, 283 00:16:42,697 --> 00:16:46,817 Speaker 1: I was like, what, Like, I mean, you know, I've arrived. 284 00:16:46,857 --> 00:16:49,857 Speaker 1: I've got a top secret security clearance. It took you know, 285 00:16:50,377 --> 00:16:53,017 Speaker 1: years basically to get into this place, and now they're like, yeah, 286 00:16:53,057 --> 00:16:54,777 Speaker 1: you might do West Africa ended up not being a 287 00:16:54,777 --> 00:16:56,857 Speaker 1: West Africa Cup. But the point is I did just 288 00:16:56,977 --> 00:16:59,337 Speaker 1: say okay. So while I was kind of waiting and 289 00:16:59,417 --> 00:17:03,777 Speaker 1: going through these rudimentary classes on ethics and financial disclosures 290 00:17:03,817 --> 00:17:06,337 Speaker 1: and whatever, I was just reading about West Africa all 291 00:17:06,377 --> 00:17:10,337 Speaker 1: the time. So when they brought up you know, the 292 00:17:10,417 --> 00:17:12,377 Speaker 1: history and the background of West Africa too, because I 293 00:17:12,377 --> 00:17:15,017 Speaker 1: didn't have a specific account, so I wasn't even at 294 00:17:15,057 --> 00:17:18,657 Speaker 1: that point working on anything that was that was sensitive, 295 00:17:19,537 --> 00:17:23,137 Speaker 1: you know, government sensitive. And when they when I when 296 00:17:23,137 --> 00:17:25,657 Speaker 1: I saw that they're doing a movie about the Dohomi tribe, 297 00:17:26,737 --> 00:17:29,577 Speaker 1: I thought, you guys are gonna be kidding me. You're 298 00:17:29,577 --> 00:17:31,417 Speaker 1: gonna do a movie about the Dohomi tribe where the 299 00:17:31,497 --> 00:17:34,417 Speaker 1: Dohomi tribe are the in this case the good gals, 300 00:17:34,457 --> 00:17:38,217 Speaker 1: because it's actually based on on the women the Agogi 301 00:17:38,817 --> 00:17:43,017 Speaker 1: female warriors referred to as the Amazons of the Agogi 302 00:17:43,177 --> 00:17:49,377 Speaker 1: by the European uh colonists or European colonial authorities. But 303 00:17:49,497 --> 00:17:52,417 Speaker 1: this amazing. We actually have part of the trailer for 304 00:17:52,417 --> 00:17:54,257 Speaker 1: this movie which is out in theaters right now. Viola 305 00:17:54,337 --> 00:17:56,857 Speaker 1: Davis oscar Winner is in the lead role. It's a 306 00:17:56,857 --> 00:18:02,217 Speaker 1: big budget, major Hollywood film. And here is what part 307 00:18:02,257 --> 00:18:09,297 Speaker 1: of the trailer sounds like a nibul is comin that 308 00:18:09,457 --> 00:18:18,697 Speaker 1: threatened Sawaquindo Awa Fridom. What we have a whip on. 309 00:18:23,417 --> 00:18:33,937 Speaker 1: They are not prepared for my king. The Europpeans wished 310 00:18:34,017 --> 00:18:37,817 Speaker 1: to conquer us. They will not stop into the whole 311 00:18:37,857 --> 00:18:44,097 Speaker 1: of Africa. Iss ah. The evil is the Europeans are coming. 312 00:18:44,697 --> 00:18:49,057 Speaker 1: Put that aside for a second. The Dahomi were very 313 00:18:49,097 --> 00:18:52,337 Speaker 1: wealthy and powerful as a tribe in West Africa in 314 00:18:52,417 --> 00:18:56,817 Speaker 1: the seventeen and eighteen hundreds. And do you know why, 315 00:18:56,857 --> 00:19:04,097 Speaker 1: because they were the most vicious, aggressive slave slave capturing 316 00:19:04,177 --> 00:19:06,937 Speaker 1: and slave trading of all of the West African tribes. 317 00:19:07,817 --> 00:19:13,497 Speaker 1: They made their fortune in enslaving fellow Africans, other tribes 318 00:19:13,977 --> 00:19:17,697 Speaker 1: and the Agogi, the female warriors that are portrayed in 319 00:19:17,737 --> 00:19:24,417 Speaker 1: this movie the woman king. The Agogi were these female 320 00:19:24,697 --> 00:19:29,697 Speaker 1: They from them as these very fierce female warriors. They 321 00:19:30,017 --> 00:19:33,897 Speaker 1: would be head people for fighting against their slaving missions. 322 00:19:34,537 --> 00:19:36,697 Speaker 1: They would actually come into villages and in order to 323 00:19:37,377 --> 00:19:39,217 Speaker 1: this is by the way, all in the historical record, 324 00:19:40,377 --> 00:19:44,697 Speaker 1: they would go into villages of fellow Africans in West Africa. 325 00:19:44,737 --> 00:19:46,737 Speaker 1: This is this is based in Benim, by the way, 326 00:19:46,817 --> 00:19:49,577 Speaker 1: Bana is the French. Benim is what we say in 327 00:19:49,577 --> 00:19:53,337 Speaker 1: the West, which is just next to Nigeria, so on 328 00:19:53,337 --> 00:19:57,217 Speaker 1: the west coast of Africa. And they would go into 329 00:19:57,217 --> 00:20:00,337 Speaker 1: the village and anybody who fought against them, they would 330 00:20:00,457 --> 00:20:04,417 Speaker 1: they would be head. So they would be head the 331 00:20:04,617 --> 00:20:07,977 Speaker 1: elders right away, old people because they weren't worth anything 332 00:20:08,017 --> 00:20:10,017 Speaker 1: in the slave trade. So they would just be head 333 00:20:10,097 --> 00:20:12,297 Speaker 1: all the old people in the village and take everybody 334 00:20:12,297 --> 00:20:14,017 Speaker 1: and if you fought against them, they would be head 335 00:20:14,017 --> 00:20:17,337 Speaker 1: YouTube and then they would bring the heads, the severed 336 00:20:17,337 --> 00:20:22,057 Speaker 1: heads to their king. Now, the Agogi were a female 337 00:20:22,577 --> 00:20:26,577 Speaker 1: warrior unit that were initially the bodyguard of the male 338 00:20:26,857 --> 00:20:32,097 Speaker 1: king of the Dahomi, who also had exclusive sexual rights 339 00:20:32,137 --> 00:20:34,337 Speaker 1: to these female bodyguards. By the way, that was a 340 00:20:34,337 --> 00:20:38,177 Speaker 1: part of this as well. And the Agogi would also 341 00:20:38,217 --> 00:20:41,617 Speaker 1: capture people for the purposes of human sacrifice. They would 342 00:20:41,657 --> 00:20:44,417 Speaker 1: capture slave, they would capture people as slaves. They would 343 00:20:44,417 --> 00:20:46,697 Speaker 1: also capture people and then execute them as part of 344 00:20:46,737 --> 00:20:49,897 Speaker 1: human sacrifice. And there's some people believe in the storical record. 345 00:20:49,897 --> 00:20:52,857 Speaker 1: I mean there is a here, there is a there 346 00:20:52,977 --> 00:20:57,297 Speaker 1: is a in the historical record. A French naval officer 347 00:20:58,057 --> 00:21:04,697 Speaker 1: witnessed a teenager who had to execute ache. This is 348 00:21:04,897 --> 00:21:07,377 Speaker 1: one of the Agogi women. She was a teenager. She 349 00:21:07,577 --> 00:21:11,977 Speaker 1: executed a condemned prisoner and quote swung her sword three 350 00:21:11,977 --> 00:21:17,177 Speaker 1: times with both hands, calmly cut the last flesh off 351 00:21:17,297 --> 00:21:19,857 Speaker 1: of the part of the head attached to his trunk, 352 00:21:20,337 --> 00:21:22,657 Speaker 1: and then squeezed the blood off the weapon and swallowed it. 353 00:21:22,657 --> 00:21:27,897 Speaker 1: So there were there were stories of cannibalism or near 354 00:21:27,937 --> 00:21:33,817 Speaker 1: cannibalism as well. They were headhunters, essentially, they were slavers. 355 00:21:34,777 --> 00:21:37,297 Speaker 1: They would enslave their fellow Africans. And they're making a 356 00:21:37,337 --> 00:21:40,537 Speaker 1: movie about how they were great warriors, and even that's 357 00:21:40,577 --> 00:21:44,857 Speaker 1: not true. They were fighting against villages with no standing army, 358 00:21:44,937 --> 00:21:48,017 Speaker 1: no defense force whatsoever. Who wants to guess what happened 359 00:21:48,057 --> 00:21:52,537 Speaker 1: to the fierce Agogi female warriors when a French colonial 360 00:21:52,657 --> 00:21:56,177 Speaker 1: military expedition showed up. The reason you don't hear about 361 00:21:56,177 --> 00:21:59,617 Speaker 1: the Agogie anymore wiped out. I mean there was not 362 00:21:59,697 --> 00:22:03,257 Speaker 1: even close. You're you're talking about you know, casualty rates 363 00:22:03,257 --> 00:22:06,257 Speaker 1: of you know, forty or fifty to one, where the 364 00:22:06,297 --> 00:22:09,097 Speaker 1: French would lose one and the the Agogi would lose fifty. 365 00:22:09,217 --> 00:22:11,657 Speaker 1: I mean it was not even close. And they did. 366 00:22:11,697 --> 00:22:13,857 Speaker 1: They had muskets and they had weapons that they because 367 00:22:13,857 --> 00:22:17,457 Speaker 1: they were trading with the Portuguese before the French came along. 368 00:22:17,897 --> 00:22:20,377 Speaker 1: The Portuguese were the original. They were the ones you know, 369 00:22:20,457 --> 00:22:22,417 Speaker 1: you go back Vasco da Gama and all this stuff. 370 00:22:22,577 --> 00:22:26,977 Speaker 1: They were the ones that initially made inroads in Africa 371 00:22:27,457 --> 00:22:30,497 Speaker 1: for a colonial trade. And then the French came along 372 00:22:30,577 --> 00:22:35,457 Speaker 1: later and actually colonized Benin. But yeah, they've made a 373 00:22:35,497 --> 00:22:42,137 Speaker 1: movie about this. I can tell the woke impulse behind 374 00:22:42,177 --> 00:22:47,337 Speaker 1: this is a powerful black female leader and warrior. But 375 00:22:47,497 --> 00:22:51,457 Speaker 1: in making this movie, they are elevating the tribe that 376 00:22:51,617 --> 00:22:56,137 Speaker 1: was the most number one, the most associated with the 377 00:22:56,417 --> 00:23:02,777 Speaker 1: enslavement and mutilation and decapitation of fellow Africans four centuries. 378 00:23:04,217 --> 00:23:07,497 Speaker 1: Oh well, you know, you would think you would think 379 00:23:07,497 --> 00:23:10,377 Speaker 1: that this history would be something that they would take 380 00:23:10,377 --> 00:23:13,177 Speaker 1: an account beforehand, because they say inspired by true events, 381 00:23:13,177 --> 00:23:15,457 Speaker 1: So I'm not they can't pull the all this is 382 00:23:15,497 --> 00:23:19,297 Speaker 1: all fiction inspired by true events. The left has actually 383 00:23:19,337 --> 00:23:22,217 Speaker 1: started a boycott movement against this movie. The left has 384 00:23:22,737 --> 00:23:25,617 Speaker 1: because even they know this is just indefensible. What are 385 00:23:25,617 --> 00:23:29,017 Speaker 1: you doing? You know, we're always being told all the time. 386 00:23:29,137 --> 00:23:31,897 Speaker 1: By the way, what this has really done is it's 387 00:23:31,937 --> 00:23:35,457 Speaker 1: going to elevate the consciousness in the West of Hold 388 00:23:35,457 --> 00:23:38,337 Speaker 1: on a second. You mean there were were There were 389 00:23:38,417 --> 00:23:42,617 Speaker 1: African tribes who for centuries built their entire wealth and 390 00:23:42,697 --> 00:23:48,817 Speaker 1: their societies by enslaving other Africans. Yes, that is the 391 00:23:48,977 --> 00:23:52,017 Speaker 1: actual history. This is the thing when you start to 392 00:23:52,137 --> 00:23:54,897 Speaker 1: learn history. Oh, it's so much more complicated than just 393 00:23:55,537 --> 00:23:58,297 Speaker 1: the history of white colonialism. Is the most destructive force 394 00:23:58,377 --> 00:24:00,177 Speaker 1: in the world ever, And it's so terrible and all 395 00:24:00,177 --> 00:24:02,697 Speaker 1: that sort of stuff. Okay, but a lot of people 396 00:24:03,217 --> 00:24:07,657 Speaker 1: when they crue power abuse it. Every society when it 397 00:24:07,777 --> 00:24:12,097 Speaker 1: could has oppressed and even enslaved other societies. There were 398 00:24:12,977 --> 00:24:18,737 Speaker 1: in America pre pre Colombian America. There were tribes Native 399 00:24:18,737 --> 00:24:21,697 Speaker 1: American tribes that were enslaving other tribes. The Comanche were 400 00:24:22,137 --> 00:24:27,977 Speaker 1: infamous Comanche Native American tribe for enslaving other Native Americans. 401 00:24:28,257 --> 00:24:33,897 Speaker 1: The Aztecs built an entire empire of millions of people slavery, 402 00:24:34,177 --> 00:24:37,617 Speaker 1: all slave based and human sacrifice based. By the way, 403 00:24:37,777 --> 00:24:40,897 Speaker 1: so we're gonna talk about these things, let's talk about them. 404 00:24:40,897 --> 00:24:45,057 Speaker 1: And you know, so who has who has responsibilities? Anyone 405 00:24:45,097 --> 00:24:49,057 Speaker 1: in Benin, you know, apologizing for the historical legacy of 406 00:24:49,097 --> 00:24:51,017 Speaker 1: the Dahomi tribe. You know, you no, no, they've got 407 00:24:51,057 --> 00:24:55,537 Speaker 1: other problems. But here we are wokeness, my friends. It 408 00:24:55,577 --> 00:24:58,497 Speaker 1: always runs into self contradiction because it's not actually rooted 409 00:24:58,497 --> 00:25:01,097 Speaker 1: in truth or principle, so that gives it a lot 410 00:25:01,097 --> 00:25:03,657 Speaker 1: of leeway, but it also means eventually it just collides 411 00:25:03,697 --> 00:25:06,137 Speaker 1: into itself. But I guess now I'm gonna go have 412 00:25:06,177 --> 00:25:07,817 Speaker 1: to see this movie, which I don't really want to 413 00:25:07,857 --> 00:25:09,257 Speaker 1: have to go to say I haven't seen it. I'm 414 00:25:09,257 --> 00:25:11,617 Speaker 1: always very honest about this, But the history of it 415 00:25:11,657 --> 00:25:15,097 Speaker 1: is the history. I mean, there's unless unless Viola Davis 416 00:25:15,097 --> 00:25:19,217 Speaker 1: and all the Dahomey try members that she's and the 417 00:25:19,297 --> 00:25:23,257 Speaker 1: agogee females she's with. Unless they're the bad side in this, 418 00:25:24,017 --> 00:25:25,817 Speaker 1: I don't understand how they can. I don't you know. 419 00:25:25,857 --> 00:25:27,937 Speaker 1: There's a reason why there's a boycott movement against it. 420 00:25:27,977 --> 00:25:30,217 Speaker 1: And trust me, they're not the bad guys. They're the protagonists. 421 00:25:30,737 --> 00:25:34,417 Speaker 1: So we shall see my friends. Oh, one thing before 422 00:25:34,457 --> 00:25:38,297 Speaker 1: you go home for the weekend. Vic Murphy is an 423 00:25:38,377 --> 00:25:42,217 Speaker 1: appallingly bad public health official. He's the surgeon General under 424 00:25:42,257 --> 00:25:46,617 Speaker 1: the Biden administration, but he recently tweeted out himself saying 425 00:25:47,497 --> 00:25:50,737 Speaker 1: that he loves ice cream. He loves to go get 426 00:25:50,777 --> 00:25:55,217 Speaker 1: ice cream cones without the ice cream. He will actually 427 00:25:55,257 --> 00:25:58,537 Speaker 1: go up to the window of a dairy queen or 428 00:25:58,577 --> 00:26:02,697 Speaker 1: a whatever and say, I just want a cone. I 429 00:26:02,737 --> 00:26:04,377 Speaker 1: don't even know what to say about that, other than 430 00:26:04,737 --> 00:26:07,817 Speaker 1: is there a better example of why we don't want 431 00:26:07,897 --> 00:26:14,257 Speaker 1: democrats in charge? Just the cone? Just the cone? People say, oh, 432 00:26:14,337 --> 00:26:16,217 Speaker 1: but what if it was a dairy allergy, Well, then 433 00:26:16,257 --> 00:26:18,257 Speaker 1: get some dairy free ice cream for heaven's sakes. But 434 00:26:18,297 --> 00:26:20,577 Speaker 1: I mean, come on, just the cone. That's crazy talk. 435 00:26:21,337 --> 00:26:23,537 Speaker 1: Go get yourself some ice cream, whatever kind you like. 436 00:26:23,737 --> 00:26:26,497 Speaker 1: Have a great weekend. Everybody shields high