1 00:00:00,200 --> 00:00:02,400 Speaker 1: Did you know that gold and silver can still be 2 00:00:02,480 --> 00:00:05,000 Speaker 1: delivered to your door or placed directly into your IRA 3 00:00:05,160 --> 00:00:07,320 Speaker 1: or four oh one k tax free and penalty free. 4 00:00:07,600 --> 00:00:10,560 Speaker 1: That's right, real gold and silver in your hands or 5 00:00:10,600 --> 00:00:13,240 Speaker 1: your retirement accounts. Why should you own real gold and 6 00:00:13,240 --> 00:00:16,759 Speaker 1: silver because they both hold their value, especially when markets 7 00:00:16,760 --> 00:00:20,360 Speaker 1: decline or fail. Oxford Gold Group is the industry leader 8 00:00:20,360 --> 00:00:23,160 Speaker 1: in precious medals, offering gold and silver at the lowest 9 00:00:23,200 --> 00:00:26,000 Speaker 1: prices on the market. It's the company I trust to 10 00:00:26,000 --> 00:00:28,520 Speaker 1: put gold and silver into both my hands and into 11 00:00:28,560 --> 00:00:32,000 Speaker 1: my IRA. The Oxford Gold Group will beat any competitor's 12 00:00:32,000 --> 00:00:35,760 Speaker 1: price on gold, silver, platinum and palladium. Call the Oxford 13 00:00:35,760 --> 00:00:38,760 Speaker 1: Gold Group at eight three three six hundred gold and 14 00:00:38,840 --> 00:00:42,080 Speaker 1: request your free Precious Medals Investment Guide. That's A three 15 00:00:42,240 --> 00:00:45,520 Speaker 1: three six hundred gold and speak to the Oxford Gold 16 00:00:45,560 --> 00:00:48,519 Speaker 1: Group today. They'll answer all your questions and send you 17 00:00:48,560 --> 00:00:52,160 Speaker 1: their Precious Metals Investment Guide. Call the Oxford Gold Group 18 00:00:52,200 --> 00:00:55,640 Speaker 1: at eight three three six hundred gold a three three 19 00:00:55,840 --> 00:01:00,800 Speaker 1: six hundred g LD. This is bucks first thoughts, the 20 00:01:00,800 --> 00:01:02,840 Speaker 1: news you need to get for your day in forty 21 00:01:02,840 --> 00:01:05,680 Speaker 1: five minutes. Make sure you subscribe on the iHeart app 22 00:01:06,000 --> 00:01:12,280 Speaker 1: or wherever you get your podcasts. Hello Buck Sexton listeners. 23 00:01:12,360 --> 00:01:14,400 Speaker 1: If you do not know me, I am obviously not 24 00:01:14,520 --> 00:01:17,120 Speaker 1: Buck Sexton. My name is Rob Smith. I am a 25 00:01:17,160 --> 00:01:20,840 Speaker 1: senior contributor with Turning Point USA and a rock War veteran, 26 00:01:21,080 --> 00:01:24,120 Speaker 1: the author of a book called Always a Soldier In 27 00:01:24,240 --> 00:01:28,000 Speaker 1: the host of a podcast called Rob Smith is Problematic. 28 00:01:28,000 --> 00:01:31,200 Speaker 1: You can get this podcast wherever podcasts are sold. And 29 00:01:31,319 --> 00:01:35,960 Speaker 1: Bucks has relinquished his show to me for a couple 30 00:01:36,000 --> 00:01:38,240 Speaker 1: of days so that we're just gonna, you know, talk 31 00:01:38,240 --> 00:01:40,399 Speaker 1: about what's going on in the world. There's a lot 32 00:01:40,400 --> 00:01:43,520 Speaker 1: of stuff going on. So the first big thing that 33 00:01:43,640 --> 00:01:46,679 Speaker 1: is going on right now is Caitlyn Jenner, Yes, of 34 00:01:46,720 --> 00:01:51,280 Speaker 1: the Kardashian clan. Caitlyn Jenner, probably the most famous transgender 35 00:01:51,320 --> 00:01:54,480 Speaker 1: person in the world, has announced that she is throwing 36 00:01:54,600 --> 00:01:57,880 Speaker 1: her hat in the ring to run for governor of California. Now, 37 00:01:57,920 --> 00:02:00,480 Speaker 1: anybody who has been paying any attention and in the 38 00:02:00,680 --> 00:02:05,480 Speaker 1: world knows that California is um what is the correct 39 00:02:05,560 --> 00:02:09,680 Speaker 1: term for a hot mess? California has been a hot 40 00:02:09,720 --> 00:02:14,519 Speaker 1: mess for a very long time now. Um California has 41 00:02:14,760 --> 00:02:20,080 Speaker 1: homelessness out the roof California has tax increases like crazy. Um, 42 00:02:20,200 --> 00:02:24,919 Speaker 1: California has trash all over the streets. California has used 43 00:02:24,960 --> 00:02:27,680 Speaker 1: to be a very beautiful place to live. From what 44 00:02:27,800 --> 00:02:31,839 Speaker 1: I hear, it has turned into an absolute crap hole, 45 00:02:32,680 --> 00:02:35,160 Speaker 1: to to use that term. So let me tell you 46 00:02:35,200 --> 00:02:38,480 Speaker 1: a little bit about about California. But my California experience. 47 00:02:38,800 --> 00:02:41,120 Speaker 1: So I have done some work with Candas Owns and 48 00:02:41,120 --> 00:02:44,480 Speaker 1: the Blexit movement, the Black exit from from the Democratic Party, 49 00:02:44,520 --> 00:02:49,080 Speaker 1: and the first Blexit rally that they had in California. UM, 50 00:02:49,120 --> 00:02:52,360 Speaker 1: they had downtown downtown LA. And so this wasn't my 51 00:02:52,400 --> 00:02:54,120 Speaker 1: first time in California, but this is my first time 52 00:02:54,160 --> 00:02:56,800 Speaker 1: staying in downtown LA. It's very excited. I was like, Okay, 53 00:02:57,000 --> 00:02:59,399 Speaker 1: let me go to downtown LA. And you know, since 54 00:02:59,440 --> 00:03:01,360 Speaker 1: I was living in downtown Brooklyn at the time and 55 00:03:01,400 --> 00:03:04,960 Speaker 1: I was thinking about making a move over to Los Angeles, 56 00:03:05,000 --> 00:03:07,840 Speaker 1: I thought that being in downtown LA would be great. 57 00:03:08,840 --> 00:03:11,799 Speaker 1: It was not great. It was scary, it was disgusting. 58 00:03:12,120 --> 00:03:15,040 Speaker 1: It was really something else. And I'm talking about homeless 59 00:03:15,040 --> 00:03:20,200 Speaker 1: people everywhere, all on the streets, trash everywhere, people getting 60 00:03:20,200 --> 00:03:23,239 Speaker 1: into fights. You know, you take a wrong turn in 61 00:03:23,639 --> 00:03:28,640 Speaker 1: Urine skid Row. It's absolutely crazy. And so Caitlin is 62 00:03:28,720 --> 00:03:31,520 Speaker 1: running for governor to try to clean this stuff up, 63 00:03:31,520 --> 00:03:35,880 Speaker 1: because you know that Governor Newsom is the subject of 64 00:03:35,920 --> 00:03:39,160 Speaker 1: a recall petition. They got more than enough signatures for 65 00:03:39,200 --> 00:03:42,560 Speaker 1: this recall petition. I believe that they were they had 66 00:03:42,600 --> 00:03:44,640 Speaker 1: to get like one point five I believe they've got 67 00:03:44,840 --> 00:03:48,480 Speaker 1: something close to two million signatures for this recall. And 68 00:03:48,560 --> 00:03:52,000 Speaker 1: the interesting thing about this how the Democrats were playing 69 00:03:52,040 --> 00:03:55,360 Speaker 1: this is that they were actually trying to get the 70 00:03:55,560 --> 00:03:59,640 Speaker 1: names and addresses of anybody who signed this recall petition 71 00:03:59,680 --> 00:04:02,000 Speaker 1: to be least. Obviously they backed off on that because 72 00:04:02,000 --> 00:04:06,320 Speaker 1: it's it's it's nothing more than intimidation. So people in 73 00:04:06,440 --> 00:04:11,120 Speaker 1: California do not like their leadership, right, But the interesting 74 00:04:11,120 --> 00:04:13,440 Speaker 1: thing to me is that they keep on voting for 75 00:04:13,480 --> 00:04:18,200 Speaker 1: these Democrats. Governor Newsom has shut down this state. Governor 76 00:04:18,320 --> 00:04:22,359 Speaker 1: Newsom has you know, presided over tax increases. Governor Newsom 77 00:04:22,400 --> 00:04:25,000 Speaker 1: has pretty much run this state into the ground, and 78 00:04:25,120 --> 00:04:28,320 Speaker 1: people want to change into Caitlyn Jenner. So, Caitlyn Jenner, 79 00:04:28,360 --> 00:04:31,360 Speaker 1: this is literally breaking news. This just happened today. She 80 00:04:31,600 --> 00:04:34,480 Speaker 1: she released this statement and I'm going to read you 81 00:04:34,520 --> 00:04:38,080 Speaker 1: a little bit of what Caitlyn said. California has been 82 00:04:38,080 --> 00:04:40,520 Speaker 1: my home for nearly fifty years. I came here because 83 00:04:40,520 --> 00:04:43,800 Speaker 1: I knew that anyone, regardless of their background or station 84 00:04:43,920 --> 00:04:46,960 Speaker 1: in life, could turn their dreams into reality. But for 85 00:04:46,960 --> 00:04:49,080 Speaker 1: the past decade, we have seen the glimmer of the 86 00:04:49,120 --> 00:04:53,120 Speaker 1: Golden State reduced by one party rule that places politics 87 00:04:53,120 --> 00:04:57,680 Speaker 1: over progress and special interest over people. I've been a 88 00:04:57,680 --> 00:05:01,039 Speaker 1: compassionate disruptor throughout my life, from presenting the United States 89 00:05:01,080 --> 00:05:03,400 Speaker 1: and winning a gold medal at the Olympics to helping 90 00:05:03,440 --> 00:05:07,159 Speaker 1: advance the movement for equality. As Californians, we face a 91 00:05:07,240 --> 00:05:11,400 Speaker 1: now or never opportunity to fundamentally fix our state before 92 00:05:11,480 --> 00:05:14,440 Speaker 1: it is too late. Californians want better and deserve better 93 00:05:14,480 --> 00:05:18,320 Speaker 1: from their governor. La la la blah blah blah. Politicians speak, 94 00:05:18,360 --> 00:05:22,760 Speaker 1: politicians speak, politicians speak. So the question is, now that 95 00:05:22,800 --> 00:05:25,200 Speaker 1: we know that Caitlyn Jenner is putting putting her hat 96 00:05:25,200 --> 00:05:28,160 Speaker 1: in the ring ring to run, can Caitlyn Jenner win? 97 00:05:28,800 --> 00:05:34,159 Speaker 1: And I'm telling you never discount the power of celebrity 98 00:05:34,680 --> 00:05:39,479 Speaker 1: when it comes to politicians and into running for office. Like, 99 00:05:39,560 --> 00:05:42,760 Speaker 1: of course, you know Donald Trump is the obvious choice, 100 00:05:42,760 --> 00:05:46,159 Speaker 1: but you have to remember, you know Ronald Reagan started 101 00:05:46,240 --> 00:05:49,040 Speaker 1: Ronald Reagan as an actor before he became a politician, 102 00:05:49,760 --> 00:05:54,880 Speaker 1: that Arnold Schwarzenegger became governor of California, so you know, 103 00:05:55,080 --> 00:05:57,599 Speaker 1: back in the day. So this is a really big thing, 104 00:05:57,880 --> 00:06:00,560 Speaker 1: and it would be very interesting to me to see 105 00:06:00,560 --> 00:06:04,080 Speaker 1: how Caitlyn Jenner really goes about this, because here's the thing. 106 00:06:04,320 --> 00:06:07,240 Speaker 1: Caitlyn Jenner in one of my biggest frustrations, and I 107 00:06:07,279 --> 00:06:10,520 Speaker 1: think that one of the biggest opportunities that Caitlyn Jenner 108 00:06:10,560 --> 00:06:13,560 Speaker 1: missed was that so when Caitlyn Jenner came out as transgender, 109 00:06:13,800 --> 00:06:15,920 Speaker 1: and you know, you had all the fanfare, the Vanity 110 00:06:15,960 --> 00:06:17,880 Speaker 1: Fair cover like all of that other stuff, all of 111 00:06:17,880 --> 00:06:20,560 Speaker 1: the hoopla. But Caitlyn Jenner was always a Republican and 112 00:06:20,520 --> 00:06:23,080 Speaker 1: it had been a Republican for a while, right, And 113 00:06:23,160 --> 00:06:26,680 Speaker 1: so for me, and whether you guys know this or not, 114 00:06:26,880 --> 00:06:29,400 Speaker 1: or or if it's relevant, I'm a gay. You know, 115 00:06:29,400 --> 00:06:31,120 Speaker 1: I talked about that in my book a lot, and 116 00:06:31,200 --> 00:06:33,560 Speaker 1: I talk a lot about I'm gay. I'm not LGBTQ, 117 00:06:33,760 --> 00:06:36,200 Speaker 1: I'm not the far left alphabet soup. I have nothing 118 00:06:36,200 --> 00:06:38,520 Speaker 1: to do with any of that. But it's very interesting 119 00:06:38,800 --> 00:06:41,640 Speaker 1: that when Caitlyn Jenner came out as a Republican and 120 00:06:41,680 --> 00:06:43,599 Speaker 1: she had actually kind of come out for Trump in 121 00:06:43,640 --> 00:06:48,040 Speaker 1: twenty sixteen, but there was a lot of pressure from 122 00:06:48,440 --> 00:06:51,200 Speaker 1: the far left and the woke left and the LGBTQ 123 00:06:51,320 --> 00:06:54,320 Speaker 1: and the alphabet soup to make Caitlyn Jenner sort of 124 00:06:55,320 --> 00:06:59,719 Speaker 1: disavowed Trump. And now you know, she hasn't really talked 125 00:06:59,760 --> 00:07:01,640 Speaker 1: about politics or anything for a while. She had a 126 00:07:01,680 --> 00:07:04,600 Speaker 1: failed reality show. I think that she was trying to 127 00:07:04,960 --> 00:07:08,719 Speaker 1: kind of bow to kind of like the woke you know, 128 00:07:08,720 --> 00:07:10,480 Speaker 1: the woke left, and she was trying to do that 129 00:07:10,480 --> 00:07:12,600 Speaker 1: that wasn't really working out. So the interesting thing to 130 00:07:12,640 --> 00:07:18,120 Speaker 1: me with Caitlyn Jenner running for office, is she gonna 131 00:07:18,120 --> 00:07:20,040 Speaker 1: put for governor of California. Is she gonna put the 132 00:07:20,080 --> 00:07:23,240 Speaker 1: emphasis on the policies. Are they going to really talk 133 00:07:23,240 --> 00:07:26,680 Speaker 1: about the policies that are destroying California from the inside out? 134 00:07:27,200 --> 00:07:31,160 Speaker 1: The billions of dollars wasted on the homeless situation, uh, 135 00:07:31,320 --> 00:07:34,680 Speaker 1: you know, the the housing shortage, that the skid row, 136 00:07:34,840 --> 00:07:37,640 Speaker 1: all of that other stuff. Is she gonna put the 137 00:07:37,760 --> 00:07:41,480 Speaker 1: focus on those policies or is she gonna try to 138 00:07:41,560 --> 00:07:44,160 Speaker 1: run to appease the woke left and the far left. 139 00:07:44,280 --> 00:07:47,960 Speaker 1: And the thing about California. Is this The thing about 140 00:07:48,000 --> 00:07:49,800 Speaker 1: it is is that I don't think that you can 141 00:07:49,880 --> 00:07:52,960 Speaker 1: run against those policies because California is a failed one 142 00:07:53,000 --> 00:07:56,040 Speaker 1: party state. These policies, and let me tell you something, 143 00:07:56,160 --> 00:07:59,280 Speaker 1: the policies that they're pushing in California right now, this 144 00:07:59,280 --> 00:08:02,760 Speaker 1: stuff gets nuts. Okay, we're talking about comprehensive sex education 145 00:08:02,880 --> 00:08:06,400 Speaker 1: and LGBTQ education and all of that crap from kindergarten 146 00:08:06,440 --> 00:08:08,840 Speaker 1: to to fifth grade or from k through twelve. So 147 00:08:08,880 --> 00:08:11,360 Speaker 1: all of that stuff is there. They've got the BLM 148 00:08:11,400 --> 00:08:15,200 Speaker 1: stuff in the curriculum. It's crazy. I have a have 149 00:08:15,240 --> 00:08:17,840 Speaker 1: a friend named Yaco Boyans. He has a podcast as well, 150 00:08:18,160 --> 00:08:20,280 Speaker 1: and he does a lot. He does a lot of 151 00:08:20,320 --> 00:08:22,960 Speaker 1: stuff when it comes to to sex trafficking and child 152 00:08:22,960 --> 00:08:25,680 Speaker 1: sex trafficking and all of the stuff. And so he 153 00:08:25,800 --> 00:08:30,000 Speaker 1: really does put a spotlight on some of the more 154 00:08:30,200 --> 00:08:34,520 Speaker 1: radical stuff that is targeting kids throughout the public education system. 155 00:08:34,600 --> 00:08:36,520 Speaker 1: And this is in states like California and to a 156 00:08:36,559 --> 00:08:39,120 Speaker 1: lesser extent in New York. California is one of the 157 00:08:39,200 --> 00:08:41,240 Speaker 1: very worst states when it comes to stuff like this. 158 00:08:41,400 --> 00:08:44,880 Speaker 1: So my question is, is Caitlyn Jenner gonna be smart 159 00:08:45,240 --> 00:08:48,640 Speaker 1: and to just leave the woke stuff alone and focus 160 00:08:48,720 --> 00:08:53,319 Speaker 1: on fixing California to make it livable again. Or is 161 00:08:53,360 --> 00:08:56,439 Speaker 1: Caitlyn Jenner gonna fall prey to the woke left? Is 162 00:08:57,400 --> 00:08:59,760 Speaker 1: Caitlyn Jenner are gonna, you know, try to kind of 163 00:09:00,280 --> 00:09:03,200 Speaker 1: um cater to them. And I think that it would 164 00:09:03,200 --> 00:09:06,160 Speaker 1: be a losing game if Caitlyn Jenner decided to cater 165 00:09:06,200 --> 00:09:08,160 Speaker 1: to them. I think that the best thing to do 166 00:09:08,720 --> 00:09:12,760 Speaker 1: is to let these Californians know, make them aware of 167 00:09:12,800 --> 00:09:17,679 Speaker 1: the fact that their state is dying and somebody needs 168 00:09:17,720 --> 00:09:19,800 Speaker 1: to fix it, and somebody needs to fix it right now. 169 00:09:19,880 --> 00:09:21,960 Speaker 1: I think the celebrity would help. And the part of 170 00:09:21,960 --> 00:09:24,839 Speaker 1: me that that, you know, I love pop culture. I'm 171 00:09:24,840 --> 00:09:26,680 Speaker 1: a pop culture guy, like I'm you know, into the 172 00:09:26,720 --> 00:09:29,560 Speaker 1: celebrity status and all that stuff. The interesting thing to 173 00:09:29,640 --> 00:09:35,160 Speaker 1: me is going to see how the Kardashians and you know, 174 00:09:35,480 --> 00:09:38,120 Speaker 1: highly Jenner and all of that other stuff, how they 175 00:09:38,200 --> 00:09:41,640 Speaker 1: react to Caitlyn running for governor, because that means they 176 00:09:41,880 --> 00:09:44,880 Speaker 1: are going to have to support their father because Caitlyn 177 00:09:44,960 --> 00:09:47,199 Speaker 1: is Caitlyn Jenner is their father, like they have a mother, 178 00:09:47,320 --> 00:09:49,920 Speaker 1: Chris Jenner, so but they're going to have to support 179 00:09:50,360 --> 00:09:54,720 Speaker 1: their their father running for governor as a Republican and 180 00:09:55,040 --> 00:09:59,640 Speaker 1: to me as somebody who is really focused on how 181 00:10:00,000 --> 00:10:03,400 Speaker 1: publican and conservative policies can hit the culture, this is 182 00:10:03,520 --> 00:10:06,440 Speaker 1: very important because this is a cultural moment when Caitlyn 183 00:10:06,520 --> 00:10:10,120 Speaker 1: Jenner would probably arguably the most famous trans genner person 184 00:10:10,120 --> 00:10:13,679 Speaker 1: in the entire world, somebody that has all of those 185 00:10:13,920 --> 00:10:17,440 Speaker 1: Hollywood connections. When they decide that they're that she's running 186 00:10:17,440 --> 00:10:20,120 Speaker 1: for governor, that's going to get a lot of attention. 187 00:10:20,320 --> 00:10:23,520 Speaker 1: So I am very curious to see how this ends up. 188 00:10:23,559 --> 00:10:26,960 Speaker 1: I am very curious to see how Hollywood, how media, 189 00:10:27,040 --> 00:10:30,000 Speaker 1: how celebrities, and how all of these people react to this, 190 00:10:30,800 --> 00:10:34,960 Speaker 1: because it's a double edged sword. And it's really funny 191 00:10:35,000 --> 00:10:37,760 Speaker 1: because the woke left will tell you, you know, they're 192 00:10:37,800 --> 00:10:40,079 Speaker 1: so tolerant and so inclusive, and the woke left will 193 00:10:40,080 --> 00:10:43,160 Speaker 1: tell you that they love absolutely everybody right. But as 194 00:10:43,160 --> 00:10:46,440 Speaker 1: a gay man who leans who is conservative Republican, I 195 00:10:46,440 --> 00:10:50,280 Speaker 1: will tell you that they do not care about that. 196 00:10:50,320 --> 00:10:52,160 Speaker 1: As long as soon as you become a Republican, you 197 00:10:52,200 --> 00:10:54,160 Speaker 1: are public enemy number one. And it's going to be 198 00:10:54,320 --> 00:10:59,079 Speaker 1: very interesting to see how this crowd reacts to Caitlyn 199 00:10:59,120 --> 00:11:01,880 Speaker 1: Jenner and how they will try to tear her down. Literally. 200 00:11:02,640 --> 00:11:04,760 Speaker 1: I was, you know, I follow some of the the 201 00:11:04,920 --> 00:11:09,200 Speaker 1: far left, you know, woke LGBT alphabet suit mob on Twitter, 202 00:11:09,679 --> 00:11:11,680 Speaker 1: and you know some of them have outlets and they're 203 00:11:11,679 --> 00:11:16,360 Speaker 1: covering this in the comments sections are just insane. These 204 00:11:16,440 --> 00:11:20,280 Speaker 1: comments sections are insane. They are insane. So it's gonna 205 00:11:20,280 --> 00:11:23,000 Speaker 1: be very interesting to see how far Caitlyn Jenner gets 206 00:11:23,520 --> 00:11:27,360 Speaker 1: when it comes to this California run for governor. And 207 00:11:27,400 --> 00:11:30,920 Speaker 1: it'll be very interesting to see how Caitlyn is treated 208 00:11:30,960 --> 00:11:37,560 Speaker 1: by this tolerant and inclusive leftist woke mob. I have 209 00:11:38,920 --> 00:11:43,200 Speaker 1: an inclination that they are not going to welcome her 210 00:11:43,360 --> 00:11:47,760 Speaker 1: with open arms. So now, earlier this week, the George 211 00:11:47,760 --> 00:11:50,760 Speaker 1: Floyd Derek Chauvin trial came to an end. Derek Chauvin 212 00:11:50,800 --> 00:11:54,800 Speaker 1: was found guilty on all counts. And I want to 213 00:11:54,840 --> 00:11:57,600 Speaker 1: get into something else that happened in the wake of that. 214 00:11:57,920 --> 00:12:00,440 Speaker 1: So this was a young black girl in the mccaya 215 00:12:00,520 --> 00:12:04,880 Speaker 1: Bryant that was shot and killed by police officers in Columbus, Ohio. 216 00:12:04,920 --> 00:12:06,840 Speaker 1: You may have heard about this stuff. I talked a 217 00:12:06,840 --> 00:12:10,679 Speaker 1: little bit about it yesterday. There has been a thickening 218 00:12:10,760 --> 00:12:14,640 Speaker 1: of the plot and even more idiotic media reactions. But 219 00:12:14,720 --> 00:12:17,760 Speaker 1: to give you a recap, this this young girl, this 220 00:12:17,840 --> 00:12:19,800 Speaker 1: is a sixteen year old black girl in Columbus, Ohio, 221 00:12:20,240 --> 00:12:24,760 Speaker 1: was was shot as she was wielding a knife at 222 00:12:24,880 --> 00:12:29,440 Speaker 1: another young lady. And so the initial reports to this, 223 00:12:29,800 --> 00:12:32,800 Speaker 1: the initial reports just read, you know, in the wake 224 00:12:32,840 --> 00:12:37,079 Speaker 1: of the George Floyd verdict, another young black girl shot 225 00:12:37,080 --> 00:12:39,480 Speaker 1: to death by police officers. And this was you know, 226 00:12:39,520 --> 00:12:42,319 Speaker 1: the Washington Post and NPR and you know, the usual 227 00:12:42,360 --> 00:12:47,040 Speaker 1: suspects reported it like this. And also you know, as 228 00:12:47,080 --> 00:12:49,600 Speaker 1: we all know, there's always a changing through the story. 229 00:12:49,600 --> 00:12:51,960 Speaker 1: When the bodycam footage came out, you found and you 230 00:12:52,000 --> 00:12:55,560 Speaker 1: saw that this girl was literally about to stab another girl. 231 00:12:56,160 --> 00:12:58,800 Speaker 1: The the officer happened very class very quickly. If you 232 00:12:58,840 --> 00:13:00,640 Speaker 1: watch the video, the officer, it seems like he was 233 00:13:00,679 --> 00:13:03,880 Speaker 1: left with no choice. But this wasn't enough for the 234 00:13:03,880 --> 00:13:06,440 Speaker 1: woke mob, because I want to tell you how some 235 00:13:06,480 --> 00:13:09,880 Speaker 1: of them responded to this. Initially. There is an activist 236 00:13:09,960 --> 00:13:12,959 Speaker 1: named Bree Newsome. She was a BLM activist. She was 237 00:13:13,040 --> 00:13:16,960 Speaker 1: very famous for scaling the flagpole in North Carolina excuse me, 238 00:13:16,960 --> 00:13:20,479 Speaker 1: South Carolina and taking down the Confederate flag. She tweeted 239 00:13:20,840 --> 00:13:24,120 Speaker 1: and I quote teenagers have been having knife Excuse me, 240 00:13:24,320 --> 00:13:28,520 Speaker 1: teenagers have been having fights, including fights involving knives, for eons. 241 00:13:28,880 --> 00:13:32,719 Speaker 1: We do not need police to address these situations by 242 00:13:32,760 --> 00:13:35,120 Speaker 1: showing up to the scene and using a weapon against 243 00:13:35,160 --> 00:13:39,080 Speaker 1: one of the teenagers. So this is the BLM take 244 00:13:39,200 --> 00:13:42,240 Speaker 1: on all of this stuff. Valerie Jared, probably one of 245 00:13:42,280 --> 00:13:44,840 Speaker 1: the most powerful women in the world, said, a black 246 00:13:44,840 --> 00:13:48,079 Speaker 1: teenage girl named Macaya Bryant was killed because a police 247 00:13:48,080 --> 00:13:51,520 Speaker 1: officer immediately decided to shoot her multiple times in order 248 00:13:51,559 --> 00:13:56,360 Speaker 1: to break up a knife fight. Demand accountability, fight for justice. 249 00:13:57,880 --> 00:14:01,640 Speaker 1: And so, just when you think that the Left can't 250 00:14:01,640 --> 00:14:05,160 Speaker 1: get any dumber, that they cannot get any more disconnected 251 00:14:05,280 --> 00:14:08,920 Speaker 1: or divorced from reality, now we are basically at the 252 00:14:08,960 --> 00:14:13,800 Speaker 1: point where we are condoning basically teenage knife fights, right 253 00:14:14,200 --> 00:14:17,640 Speaker 1: and so, and I'm gonna tell you there's some new 254 00:14:17,920 --> 00:14:23,160 Speaker 1: footage from the fight, and there is a neighbor's reaction 255 00:14:23,400 --> 00:14:27,960 Speaker 1: to everything that came out, And I really do want 256 00:14:28,000 --> 00:14:30,600 Speaker 1: you to listen to this because it really does shine 257 00:14:30,680 --> 00:14:34,240 Speaker 1: a lot of light on exactly what was happening. So 258 00:14:34,280 --> 00:14:50,440 Speaker 1: I'll play cut a thirteen and fourteen to me, We've 259 00:14:50,440 --> 00:14:53,880 Speaker 1: had a lot of people guess at what might have 260 00:14:53,960 --> 00:14:57,960 Speaker 1: been his choices nine seconds he had to deal with 261 00:14:58,000 --> 00:15:02,080 Speaker 1: a volatile situation. What your interpretation were his choices in 262 00:15:02,160 --> 00:15:06,640 Speaker 1: that moment? Not much. He like you said, he only 263 00:15:06,680 --> 00:15:12,400 Speaker 1: had seconds to respond. From my point of view watching this, unfortunately, 264 00:15:12,800 --> 00:15:15,600 Speaker 1: the whole scenario put him in a bad spot. Regardless 265 00:15:15,640 --> 00:15:18,720 Speaker 1: of what the situation was. He could have either not 266 00:15:18,960 --> 00:15:21,640 Speaker 1: fired and the young lady and Paine could have got 267 00:15:21,680 --> 00:15:24,720 Speaker 1: stabbed in the neck or and been brutally or fatally 268 00:15:24,720 --> 00:15:28,160 Speaker 1: injured and then responded and shot, and that would have 269 00:15:28,200 --> 00:15:32,400 Speaker 1: been two young ladies possibly dead. Or he could have 270 00:15:32,440 --> 00:15:34,760 Speaker 1: respond to the the way that he did and unfortunately one 271 00:15:34,840 --> 00:15:38,080 Speaker 1: lady lost your life and into that probably could have 272 00:15:38,120 --> 00:15:43,800 Speaker 1: been avoided. And so this is where we are right now. 273 00:15:43,880 --> 00:15:47,200 Speaker 1: And the thing about it is and when we talk 274 00:15:47,240 --> 00:15:50,680 Speaker 1: about this entire situation, and I tweeted something this morning. 275 00:15:50,760 --> 00:15:53,840 Speaker 1: Can follow me at Rob Smith online on Twitter, Facebook 276 00:15:53,840 --> 00:15:56,040 Speaker 1: and instagrament as well. But this is something I tweeted. 277 00:15:56,400 --> 00:16:01,520 Speaker 1: I said, why is nobody curious about the take of 278 00:16:01,520 --> 00:16:03,840 Speaker 1: this other young lady whose life was saved by this cop? 279 00:16:04,840 --> 00:16:07,720 Speaker 1: Why is nobody reaching out to her? Why is nobody 280 00:16:07,760 --> 00:16:11,080 Speaker 1: interviewing her? Why is nobody Why does nobody care at 281 00:16:11,120 --> 00:16:14,040 Speaker 1: all about this other young girl whose life was saved. 282 00:16:14,160 --> 00:16:16,240 Speaker 1: And I can tell you why nobody cares about her 283 00:16:16,560 --> 00:16:19,400 Speaker 1: is because her life doesn't matter, because it is not 284 00:16:19,440 --> 00:16:21,640 Speaker 1: convenient to the narrative that they're trying to push. And 285 00:16:21,760 --> 00:16:23,960 Speaker 1: the narrative that they're trying to push, like, this is 286 00:16:23,960 --> 00:16:26,080 Speaker 1: where we are right now with the left when it 287 00:16:26,080 --> 00:16:28,120 Speaker 1: comes to policing and all that stuff. And by the way, 288 00:16:28,160 --> 00:16:30,240 Speaker 1: I always have to say a million times that this 289 00:16:31,520 --> 00:16:34,640 Speaker 1: is it's a tragedy, no matter what. It is a tragedy, 290 00:16:34,840 --> 00:16:39,120 Speaker 1: no matter what. But nobody cares about this other young 291 00:16:39,200 --> 00:16:42,880 Speaker 1: lady whose life was saved. And there was I think 292 00:16:42,880 --> 00:16:44,680 Speaker 1: there was a clip of this other girl as she 293 00:16:44,720 --> 00:16:46,480 Speaker 1: was walking away. She was like, yeah, you know, she's 294 00:16:46,480 --> 00:16:49,680 Speaker 1: about to stab and he got her. And that, to 295 00:16:49,760 --> 00:16:52,400 Speaker 1: me is the craziest thing about this whole thing. So 296 00:16:53,000 --> 00:16:56,160 Speaker 1: you have people on the left that with literally they're 297 00:16:56,240 --> 00:16:59,880 Speaker 1: saying that to be involved in a knife fight as 298 00:16:59,880 --> 00:17:02,560 Speaker 1: a teenager is just a perfectly normal thing. It is 299 00:17:02,640 --> 00:17:05,919 Speaker 1: perfectly normal for teenagers to just get into knife fights, 300 00:17:06,240 --> 00:17:10,399 Speaker 1: and it is the police officer's fault for intervening. When 301 00:17:10,600 --> 00:17:13,199 Speaker 1: the police officer was called to that scene, because of 302 00:17:13,200 --> 00:17:19,199 Speaker 1: the entire altercation, and it just the stupidity of some 303 00:17:19,240 --> 00:17:22,520 Speaker 1: of these people. Let me tell you something. When every 304 00:17:22,760 --> 00:17:25,920 Speaker 1: thought that you have to put out is filtered through 305 00:17:25,960 --> 00:17:29,000 Speaker 1: a political lens, which says that I'm liberal, so I 306 00:17:29,080 --> 00:17:31,280 Speaker 1: have to think this and say this, or I'm conservative 307 00:17:31,320 --> 00:17:33,280 Speaker 1: so I have to think this and say this, then 308 00:17:33,400 --> 00:17:38,320 Speaker 1: you lose all semblance of common sense. You lose common sense. 309 00:17:38,920 --> 00:17:41,960 Speaker 1: And so these people that are talking about not having 310 00:17:42,000 --> 00:17:45,639 Speaker 1: police officers break up NiFe fights knife fights, these people 311 00:17:46,080 --> 00:17:50,240 Speaker 1: that are you know, making excuses for teenage knife fights, 312 00:17:50,480 --> 00:17:56,240 Speaker 1: they are not speaking common sense, and they get even 313 00:17:56,280 --> 00:17:58,720 Speaker 1: more crazier because I just I really want to break 314 00:17:58,720 --> 00:18:01,480 Speaker 1: down some of the leftist reaction to this by people 315 00:18:01,520 --> 00:18:05,800 Speaker 1: who are you know, seasoned enough and famous enough to 316 00:18:06,000 --> 00:18:08,280 Speaker 1: know better. And I'll get into that after the break. 317 00:18:09,560 --> 00:18:13,080 Speaker 1: Over the weekend, I cooked a whole three pound monk, 318 00:18:13,640 --> 00:18:17,520 Speaker 1: free range chicken, no hormones, no antibiotics, and the best 319 00:18:17,520 --> 00:18:21,719 Speaker 1: flavor of any chicken I've ever had. I absolutely loved it, 320 00:18:21,880 --> 00:18:24,800 Speaker 1: so to my girlfriend, we had a feast on our 321 00:18:24,840 --> 00:18:27,679 Speaker 1: monk chicken. And now I'm thawing out some bacon my 322 00:18:27,720 --> 00:18:31,640 Speaker 1: friends because moink is simply the best They deliver grass 323 00:18:31,680 --> 00:18:35,760 Speaker 1: fed and grass finished beef, lamb, pork, and chicken, wild 324 00:18:35,840 --> 00:18:39,320 Speaker 1: caught Alaskan salmon direct to your door. This is the 325 00:18:39,320 --> 00:18:41,560 Speaker 1: box that you need to have sent to you because 326 00:18:41,560 --> 00:18:45,320 Speaker 1: it also helps family farms become financially independent outside of 327 00:18:45,359 --> 00:18:48,920 Speaker 1: big agriculture. Their animals are raised outdoors, their fish swim 328 00:18:48,960 --> 00:18:52,480 Speaker 1: wild in the ocean, and monk meat is free of antibiotics, hormone, 329 00:18:52,520 --> 00:18:54,720 Speaker 1: sugar and all the other junk you find in the 330 00:18:54,760 --> 00:19:00,240 Speaker 1: prepackaged meat aisle. Sign up at monkbox dot com slash buck. 331 00:19:00,359 --> 00:19:01,600 Speaker 1: That's right. All you have to do is go to 332 00:19:01,680 --> 00:19:05,800 Speaker 1: the website monk m o I n k box b 333 00:19:06,119 --> 00:19:10,560 Speaker 1: o X dot com slash buck. Once this this box 334 00:19:10,640 --> 00:19:14,080 Speaker 1: arrives up telling you will see inside so much delicious 335 00:19:14,119 --> 00:19:17,679 Speaker 1: carnivore goodness. I mean, the best stuff imaginable, the steaks, 336 00:19:17,720 --> 00:19:22,520 Speaker 1: the filet mignon, the rib by, the pork chops. It's amazing. 337 00:19:22,920 --> 00:19:26,240 Speaker 1: Join the monk movement today. Go to monkbox dot com 338 00:19:26,240 --> 00:19:29,320 Speaker 1: slash buck right now and listeners to this show get 339 00:19:29,440 --> 00:19:32,320 Speaker 1: free ground beef for a year and come on, that's 340 00:19:32,320 --> 00:19:35,520 Speaker 1: an incredible deal and the ground beef is absolutely amazing. 341 00:19:35,560 --> 00:19:37,400 Speaker 1: The best you'll ever taste. But this is only available 342 00:19:37,400 --> 00:19:41,320 Speaker 1: for a limited time. M o I n k box 343 00:19:41,400 --> 00:19:44,879 Speaker 1: dot com, moinkbox dot com, slash Buck. Go to the 344 00:19:44,880 --> 00:19:48,400 Speaker 1: website now monkbox dot com slashbuck and have the best 345 00:19:48,440 --> 00:19:52,640 Speaker 1: meat you'll get anywhere, delivered right to your door. This 346 00:19:53,000 --> 00:19:57,840 Speaker 1: is the Buck Sexton Show Podcast. Follow Buck on Facebook, Instagram, 347 00:19:58,040 --> 00:20:03,080 Speaker 1: and Twitter. Someone like I said, there are a lot 348 00:20:03,119 --> 00:20:06,640 Speaker 1: of people who should know a lot better that are 349 00:20:06,680 --> 00:20:10,280 Speaker 1: talking complete gibberish when it comes to this Mackay Briant shooting, 350 00:20:10,480 --> 00:20:14,159 Speaker 1: and when it comes to the idea that, you know, 351 00:20:14,280 --> 00:20:16,600 Speaker 1: teenage girls should just be allowed to have knife fights, 352 00:20:16,760 --> 00:20:18,560 Speaker 1: you know, just like this is I don't know that 353 00:20:18,600 --> 00:20:21,520 Speaker 1: the Outsiders or West Side Story or something like that. 354 00:20:21,800 --> 00:20:25,000 Speaker 1: So I want to play for you. This is Jan 355 00:20:25,119 --> 00:20:28,880 Speaker 1: Williams are our favorite liberal on Fox, and think about 356 00:20:28,920 --> 00:20:31,520 Speaker 1: one Williams is that when I told you in the 357 00:20:31,520 --> 00:20:34,280 Speaker 1: previous segment that there are some people who literally filter 358 00:20:34,800 --> 00:20:38,440 Speaker 1: every thought that they have in their mind through whether 359 00:20:38,560 --> 00:20:41,119 Speaker 1: or not you know they have a liberal or conservative 360 00:20:41,160 --> 00:20:44,720 Speaker 1: perspective on anything. He's the resident Fox News liberal and 361 00:20:45,160 --> 00:20:48,480 Speaker 1: these are his resident Fox News liberal thoughts on this 362 00:20:48,600 --> 00:20:51,240 Speaker 1: play cut seventeen. Well, I guess I would shoot the gun, 363 00:20:51,400 --> 00:20:54,840 Speaker 1: not necessarily at somebody, but maybe shoot the gun and maybe, 364 00:20:54,960 --> 00:20:57,760 Speaker 1: you know, run at the person and try to disarm them, 365 00:20:57,800 --> 00:20:59,760 Speaker 1: like I don't know, I mean to wait, wait, wait, 366 00:20:59,840 --> 00:21:05,160 Speaker 1: you someone to die, like awarding shot not well, hopefully 367 00:21:05,200 --> 00:21:08,040 Speaker 1: to distract or to try to stall or something so 368 00:21:08,080 --> 00:21:11,600 Speaker 1: I could get or my partner could get the knife away. 369 00:21:11,640 --> 00:21:13,000 Speaker 1: I see, is what I was like. I don't know, 370 00:21:13,040 --> 00:21:15,439 Speaker 1: if I mean taking something. His life is pretty strong. 371 00:21:16,400 --> 00:21:18,840 Speaker 1: I don't either. I don't either, Jesse, I mean, Jesse, 372 00:21:19,200 --> 00:21:22,720 Speaker 1: Policing is tough work. Um, But all I'm saying is, 373 00:21:22,760 --> 00:21:25,960 Speaker 1: you know, I think I think that that woman with 374 00:21:25,960 --> 00:21:28,680 Speaker 1: a knife is a danger to society. It's certainly a 375 00:21:28,800 --> 00:21:31,280 Speaker 1: danger to the other person, and we want her to 376 00:21:31,320 --> 00:21:34,440 Speaker 1: stop and be disarmed. I just I just also think 377 00:21:34,760 --> 00:21:37,760 Speaker 1: that killing a human is pretty radical. I don't think 378 00:21:37,800 --> 00:21:40,720 Speaker 1: that's a good thing. But what I see overall here, 379 00:21:41,440 --> 00:21:43,200 Speaker 1: you know, you ask me what I see. I see 380 00:21:43,240 --> 00:21:46,679 Speaker 1: people now using this Ohio case, which is messy, as 381 00:21:46,720 --> 00:21:50,159 Speaker 1: you and I just discussed, to somehow really try to 382 00:21:50,280 --> 00:21:53,480 Speaker 1: change the subject, you know, from what happened in Minnesota 383 00:21:53,560 --> 00:22:01,919 Speaker 1: with the Chauvin guilty verdict. Okay, well, Williams. One Williams 384 00:22:02,000 --> 00:22:05,000 Speaker 1: is really something else. But but this is the conversation 385 00:22:05,040 --> 00:22:07,480 Speaker 1: that we're having here. And the interesting thing to me 386 00:22:07,720 --> 00:22:10,840 Speaker 1: is that I you know, I did an interview with 387 00:22:10,880 --> 00:22:13,600 Speaker 1: the police officer for my podcast, Rob Smith is Problematic. 388 00:22:13,600 --> 00:22:15,280 Speaker 1: That'll be out in a couple of weeks. And his 389 00:22:15,359 --> 00:22:17,080 Speaker 1: name is Brandon Tatum, and I've got a clip from 390 00:22:17,160 --> 00:22:20,240 Speaker 1: him coming up a little bit later. But these people, 391 00:22:20,480 --> 00:22:22,480 Speaker 1: and I've never been a police officer. What I have 392 00:22:22,600 --> 00:22:24,400 Speaker 1: been is a soldier in a rock. What I've been 393 00:22:24,560 --> 00:22:27,040 Speaker 1: is a soldier overseas. I served in a rock. I 394 00:22:27,600 --> 00:22:30,400 Speaker 1: deployed to quit Irock. I did the whole thing. When 395 00:22:30,440 --> 00:22:35,639 Speaker 1: you are in a life and death situation, and particularly 396 00:22:35,920 --> 00:22:39,040 Speaker 1: when you're a police officer and you see someone literally 397 00:22:39,080 --> 00:22:43,600 Speaker 1: about to get kniped, you're the adrenaline starts running through you. 398 00:22:43,600 --> 00:22:46,719 Speaker 1: You have split second to make that decision. It's not 399 00:22:46,800 --> 00:22:50,800 Speaker 1: the decision that somebody that is Monday morning quarterbacking in 400 00:22:51,040 --> 00:22:52,959 Speaker 1: a TV studio that has never had to make a 401 00:22:52,960 --> 00:22:58,040 Speaker 1: decision like that before has to make. And it is 402 00:22:58,040 --> 00:23:01,240 Speaker 1: disingenuous for people like one Williams to pretend that oh, 403 00:23:01,320 --> 00:23:03,159 Speaker 1: you know, just you know, shoot the gun in the 404 00:23:03,240 --> 00:23:06,000 Speaker 1: air or you know, just you know, shoot the shoot 405 00:23:06,040 --> 00:23:08,560 Speaker 1: the knife out of their hand or something like that. 406 00:23:09,040 --> 00:23:15,679 Speaker 1: It's completely ridiculous. And now that this these more sides 407 00:23:15,720 --> 00:23:19,679 Speaker 1: of the stories are coming out, now people are actually 408 00:23:19,720 --> 00:23:24,439 Speaker 1: starting to talk. Since people even Don Lemon, Don Lemon 409 00:23:24,960 --> 00:23:28,200 Speaker 1: on CNN, Don Lemon, who who used to be pretty 410 00:23:28,280 --> 00:23:31,280 Speaker 1: much conservative, but you know, since he started getting CNN 411 00:23:31,440 --> 00:23:33,920 Speaker 1: paychecks and he's owned by the left, now he's become 412 00:23:33,960 --> 00:23:37,439 Speaker 1: a leftist. Even Don Lemon has said that, you know, 413 00:23:37,760 --> 00:23:40,800 Speaker 1: maybe we have to take a step back and maybe 414 00:23:41,640 --> 00:23:44,000 Speaker 1: we have to think a little bit more about the situation, 415 00:23:44,040 --> 00:23:46,280 Speaker 1: because this isn't the case of just like this. This 416 00:23:46,320 --> 00:23:49,280 Speaker 1: girl wasn't just like standing there in some police officers 417 00:23:49,280 --> 00:23:50,800 Speaker 1: just like, oh there's a little black girl, let me shoot. 418 00:23:50,880 --> 00:23:53,400 Speaker 1: This is not what happened. But listener, don react Don 419 00:23:53,480 --> 00:23:57,120 Speaker 1: Lemon's reaction to the video play fifteen. There's a lot 420 00:23:57,119 --> 00:23:59,760 Speaker 1: of anguish. People are very emotional right now. But we've 421 00:23:59,760 --> 00:24:03,719 Speaker 1: got be fair about what happens when police arrive at scenes. 422 00:24:04,119 --> 00:24:06,480 Speaker 1: It is tragic that is the sixteen year old girl, 423 00:24:06,600 --> 00:24:08,720 Speaker 1: just as it is tragic that it's a thirteen year 424 00:24:08,760 --> 00:24:12,640 Speaker 1: old in Chicago. When police are chasing people they don't 425 00:24:12,680 --> 00:24:15,800 Speaker 1: know how old they are, and they don't run and say, hey, 426 00:24:15,800 --> 00:24:18,560 Speaker 1: how old are you? Oh, I'm thirteen, you know my 427 00:24:18,640 --> 00:24:20,880 Speaker 1: mom let me, you don't know that, or I'm sixteen. 428 00:24:20,880 --> 00:24:22,960 Speaker 1: When they roll up on a scene, they see people 429 00:24:23,000 --> 00:24:27,000 Speaker 1: tussling around, someone has a knife, and their job is 430 00:24:27,000 --> 00:24:30,320 Speaker 1: to protect and serve every life on that scene. And 431 00:24:30,359 --> 00:24:33,760 Speaker 1: if they see someone who is in the process of 432 00:24:33,880 --> 00:24:36,600 Speaker 1: taking a life, what is that decision? What decision do 433 00:24:36,640 --> 00:24:39,000 Speaker 1: they have to make? And I know that people say, well, 434 00:24:39,000 --> 00:24:40,920 Speaker 1: you know you could do this, you do that. Tasers 435 00:24:40,920 --> 00:24:44,639 Speaker 1: don't work the way guns were not. Is that distance 436 00:24:44,640 --> 00:24:46,560 Speaker 1: and how with that amount of time? And that all? Right? 437 00:24:46,760 --> 00:24:52,040 Speaker 1: Tasers then they don't always connect. Now, don lemon better 438 00:24:52,080 --> 00:24:54,679 Speaker 1: watch out because you know when you start making sense, 439 00:24:54,720 --> 00:24:58,399 Speaker 1: the woke lefties, they come after you. When you start 440 00:24:58,440 --> 00:25:02,080 Speaker 1: making sense, and when you start speaking anything outside of 441 00:25:02,480 --> 00:25:06,720 Speaker 1: what they think that the right take on any circumstances, 442 00:25:06,760 --> 00:25:10,760 Speaker 1: they start coming after you. And now now they're Sunny 443 00:25:10,800 --> 00:25:12,840 Speaker 1: Hawson on the view kind of came after him a 444 00:25:12,880 --> 00:25:16,199 Speaker 1: little bit, and it'll be very it's very interesting to 445 00:25:16,359 --> 00:25:22,159 Speaker 1: me the way in which she kind of flipped the 446 00:25:22,280 --> 00:25:24,159 Speaker 1: story a little bit. Play cut twenty two I want 447 00:25:24,200 --> 00:25:25,960 Speaker 1: you to I want you to understand exactly what she's 448 00:25:26,000 --> 00:25:31,440 Speaker 1: doing here, also allegedly attacking her. Let's compare apples to apples. 449 00:25:31,520 --> 00:25:36,720 Speaker 1: Let's compare this young girl a sixteen or sixteen years 450 00:25:36,760 --> 00:25:40,560 Speaker 1: old or seventeen years old to other seventeen year olds. 451 00:25:40,600 --> 00:25:45,320 Speaker 1: Let's compare her to Kyle Rittenhouse. Video was taken fifteen 452 00:25:45,600 --> 00:25:49,679 Speaker 1: minutes before Rittenhouse allegedly shot and killed two people. You 453 00:25:49,720 --> 00:25:53,399 Speaker 1: know what officers did. He was carrying an assault weapon. 454 00:25:54,320 --> 00:25:57,400 Speaker 1: The video shows the police shared water with him and 455 00:25:57,520 --> 00:26:02,800 Speaker 1: thanked him for his presence. Also, after the shooting, he 456 00:26:02,840 --> 00:26:06,159 Speaker 1: was able to leave the scene, even though caught on 457 00:26:06,280 --> 00:26:09,720 Speaker 1: video he walked towards police with his hands up as 458 00:26:09,760 --> 00:26:13,280 Speaker 1: protesters yell that he had shot people. Let's also compare 459 00:26:13,400 --> 00:26:16,960 Speaker 1: him to the Atlanta shooter, Robert Aaron Long. He was 460 00:26:17,040 --> 00:26:20,280 Speaker 1: taken into custody without incident. And you know what the 461 00:26:20,359 --> 00:26:23,639 Speaker 1: officer said that arrested him, the captain, that he was 462 00:26:23,680 --> 00:26:26,760 Speaker 1: having a really bad day. How about comparing him to 463 00:26:26,840 --> 00:26:32,520 Speaker 1: Dylan Roof in June of twenty fifteen, he killed nine churchgoers. 464 00:26:32,960 --> 00:26:35,679 Speaker 1: He was treated so kindly by police that he was 465 00:26:35,760 --> 00:26:39,520 Speaker 1: taken to a Burger king. So was de escalation of 466 00:26:39,800 --> 00:26:43,440 Speaker 1: possibility here in this case, not with this black girl, 467 00:26:43,800 --> 00:26:49,480 Speaker 1: not at all. So this is deeply disingenuous, first of all, 468 00:26:49,760 --> 00:26:52,240 Speaker 1: And I just want to make you, I want you 469 00:26:52,240 --> 00:26:56,080 Speaker 1: to really be aware of the racial narrative that they're 470 00:26:56,320 --> 00:27:00,119 Speaker 1: sort of plitting right here. And the thing was the 471 00:27:00,160 --> 00:27:02,720 Speaker 1: Kyle Rittenhouse thing. And this is what's going on here, 472 00:27:03,040 --> 00:27:05,320 Speaker 1: is that Kyle number one. It was it was dumb 473 00:27:05,320 --> 00:27:07,159 Speaker 1: of that kid to to take that gun and then 474 00:27:07,200 --> 00:27:09,359 Speaker 1: travel state lines. He was that was self defense. He 475 00:27:09,400 --> 00:27:12,000 Speaker 1: walked towards police officers with his hands up. There was 476 00:27:12,080 --> 00:27:14,520 Speaker 1: no there was no altercation, like these police officers were 477 00:27:14,520 --> 00:27:17,560 Speaker 1: not running into an altercation. And what they do is 478 00:27:17,560 --> 00:27:21,280 Speaker 1: they compare completely different situations that have really nothing to 479 00:27:21,280 --> 00:27:23,719 Speaker 1: do with each other except for the fact that they 480 00:27:23,760 --> 00:27:27,840 Speaker 1: find some white person to compare it to in order 481 00:27:27,880 --> 00:27:31,199 Speaker 1: to sort of push push the racism, push the race 482 00:27:31,240 --> 00:27:33,680 Speaker 1: agen and push it, push it, push it. And the 483 00:27:33,720 --> 00:27:36,720 Speaker 1: saddest thing about all of this stuff is that we 484 00:27:36,800 --> 00:27:40,520 Speaker 1: never talk about the institutions that failed this young lady 485 00:27:40,880 --> 00:27:44,960 Speaker 1: McKay Bryant. She was a foster kid. She was, you know, 486 00:27:45,000 --> 00:27:47,760 Speaker 1: basically in and out of homes. Her mother didn't even 487 00:27:47,760 --> 00:27:50,080 Speaker 1: have the custody of her. So there were a lot 488 00:27:50,119 --> 00:27:55,360 Speaker 1: of institutions that failed this young girl, but that police 489 00:27:55,400 --> 00:27:59,560 Speaker 1: officer saved another young lady's life. So when we're talking 490 00:27:59,600 --> 00:28:02,919 Speaker 1: about everything that's going on here, we're talking about, you know, 491 00:28:03,080 --> 00:28:06,840 Speaker 1: the police officers and demonizing the cops and all of 492 00:28:06,840 --> 00:28:10,240 Speaker 1: this stuff that is going on right now. There is 493 00:28:11,640 --> 00:28:13,800 Speaker 1: a demonization of police that is going on right now. 494 00:28:14,040 --> 00:28:18,800 Speaker 1: It is coming from wealthy, black, liberal Hollywood celebrities like 495 00:28:19,160 --> 00:28:23,040 Speaker 1: Lebron James, who, by the way, tweeted out a photo 496 00:28:23,200 --> 00:28:25,320 Speaker 1: of this police officer that was involved in the MCAI 497 00:28:25,400 --> 00:28:29,560 Speaker 1: Briant shooting. Tweeted out a photo of this police officer saying, literally, 498 00:28:29,640 --> 00:28:34,360 Speaker 1: you're next. Hashtag accountability awful. You know, still hasn't been 499 00:28:34,400 --> 00:28:38,080 Speaker 1: penalized by Twitter. To me, something like that would seem 500 00:28:38,240 --> 00:28:43,400 Speaker 1: like targeted harassment. But this is a pattern of people 501 00:28:43,520 --> 00:28:48,840 Speaker 1: on the left demonizing police officers. And what I hate 502 00:28:48,840 --> 00:28:52,680 Speaker 1: about this the most, because it always comes from liberal 503 00:28:52,880 --> 00:28:57,760 Speaker 1: black celebrities, is that it denies the existence of black cops. 504 00:28:58,520 --> 00:29:04,320 Speaker 1: There are a lot of black cops around America serving 505 00:29:04,360 --> 00:29:08,400 Speaker 1: these communities, putting their lives on the line, and this 506 00:29:08,480 --> 00:29:11,800 Speaker 1: demonization is making things more dangerous for them as well. 507 00:29:12,000 --> 00:29:17,240 Speaker 1: And Ted Cruz agrees. I want you to listen to 508 00:29:17,400 --> 00:29:21,920 Speaker 1: Ted Cruz talking about this Lebron James tweet played cut nine. Well, 509 00:29:21,960 --> 00:29:24,800 Speaker 1: you know, unfortunately, this is a pattern where the left 510 00:29:25,000 --> 00:29:30,120 Speaker 1: consistently goes after attacks and demonizes police officers, and they 511 00:29:30,160 --> 00:29:33,320 Speaker 1: do so often before the facts are known, often before 512 00:29:33,320 --> 00:29:36,520 Speaker 1: there's any evidence of what happened. But their immediate reaction 513 00:29:36,560 --> 00:29:39,320 Speaker 1: whenever there's an incident is the police officers in the wrong. 514 00:29:39,680 --> 00:29:45,200 Speaker 1: The police officer is the villain in this instance, your 515 00:29:45,360 --> 00:29:49,480 Speaker 1: next could certainly be interpreted by some even as a 516 00:29:49,520 --> 00:29:52,680 Speaker 1: call for violence. And I think it was a grossly 517 00:29:52,800 --> 00:29:57,560 Speaker 1: irresponsible message for Lebron James to send out. And we've 518 00:29:57,600 --> 00:30:01,400 Speaker 1: now seen the bodycam footage from had occurred, and by 519 00:30:01,440 --> 00:30:05,120 Speaker 1: any measure, it was a volatile situation. The woman who 520 00:30:04,880 --> 00:30:08,840 Speaker 1: was killed was wielding a knife, was violent, appeared to 521 00:30:08,880 --> 00:30:11,760 Speaker 1: be threatening the lives of others. It may well be 522 00:30:11,840 --> 00:30:15,280 Speaker 1: on an investigation that this police officer saved the life 523 00:30:16,040 --> 00:30:19,160 Speaker 1: of a potential victim of a knife attack. And and 524 00:30:19,320 --> 00:30:21,440 Speaker 1: we should jump to conclusions there needs to be an 525 00:30:21,440 --> 00:30:24,240 Speaker 1: investigation anytime there is a shooting that takes someone's life 526 00:30:24,240 --> 00:30:27,240 Speaker 1: it should be investigated, the facts should be determined. But 527 00:30:27,600 --> 00:30:30,680 Speaker 1: the left doesn't care about the facts. They care about 528 00:30:30,800 --> 00:30:34,640 Speaker 1: demonizing an attacking law enforcement. And I think it's wrong. 529 00:30:35,880 --> 00:30:39,600 Speaker 1: He's absolutely right. Left doesn't really care about facts. The 530 00:30:39,680 --> 00:30:42,840 Speaker 1: left doesn't even really care about most of these people 531 00:30:42,880 --> 00:30:45,840 Speaker 1: that are involved in these shootings. You just look at 532 00:30:45,880 --> 00:30:49,960 Speaker 1: how quickly they move on when things don't fit the narrative. 533 00:30:50,000 --> 00:30:52,200 Speaker 1: And as a matter of fact, if the left cared 534 00:30:52,280 --> 00:30:55,720 Speaker 1: so much, there is a seven year old black girl, 535 00:30:55,760 --> 00:30:58,960 Speaker 1: believe her name was Jaceline Adams that was killed in Chicago. 536 00:30:59,040 --> 00:31:02,120 Speaker 1: You don't hear a people about this. You never hear 537 00:31:02,160 --> 00:31:07,720 Speaker 1: anything about these lives that were lost unless they were 538 00:31:07,800 --> 00:31:11,560 Speaker 1: killed by a white police officer. And so Ted Cruz 539 00:31:11,800 --> 00:31:14,800 Speaker 1: is absolutely right about this. And the question is the 540 00:31:14,920 --> 00:31:18,080 Speaker 1: question that I have is what does this mean to 541 00:31:18,240 --> 00:31:22,440 Speaker 1: police officers and their safety and how they are seen 542 00:31:22,720 --> 00:31:25,800 Speaker 1: by the communities in which they have to work. When 543 00:31:26,000 --> 00:31:29,520 Speaker 1: somebody as big as Lebron James, who has millions and 544 00:31:29,680 --> 00:31:32,840 Speaker 1: millions and millions of followers on social media, When if 545 00:31:32,960 --> 00:31:37,880 Speaker 1: Lebron James says something, it is global news, what does 546 00:31:37,920 --> 00:31:41,120 Speaker 1: this do to their ability to do their jobs? When 547 00:31:41,200 --> 00:31:43,640 Speaker 1: he tweets this photo of this officer and says, you're next. 548 00:31:45,000 --> 00:31:48,760 Speaker 1: What does it do when the most prominent black leaders 549 00:31:49,000 --> 00:31:53,600 Speaker 1: in society make it a point to demonize all police officers, 550 00:31:54,840 --> 00:31:58,680 Speaker 1: and obviously they're demonizing the white ones because they you know, look, 551 00:31:59,600 --> 00:32:02,120 Speaker 1: people on the left need for African Americans and for 552 00:32:02,120 --> 00:32:05,200 Speaker 1: Black people in America to feel like perpetual victims so 553 00:32:05,240 --> 00:32:09,760 Speaker 1: that they can constantly maintain their control over them. And 554 00:32:09,800 --> 00:32:14,760 Speaker 1: so for these people, for them to even recognize the 555 00:32:14,880 --> 00:32:18,960 Speaker 1: existence of black police officers and even celebrate that, and 556 00:32:19,040 --> 00:32:22,160 Speaker 1: even celebrate these black police officers that put their lives 557 00:32:22,160 --> 00:32:25,480 Speaker 1: on the line every single day in majority black communities. 558 00:32:25,720 --> 00:32:30,200 Speaker 1: To even acknowledge their existence is to go against the 559 00:32:30,280 --> 00:32:36,520 Speaker 1: narrative that they're pushing. And I listen to noted race Hustler, 560 00:32:36,920 --> 00:32:40,760 Speaker 1: legendary Race Hustler. I think that he literally wrote the 561 00:32:40,880 --> 00:32:44,160 Speaker 1: book on race hustling. This is Al Sharpton, and there's 562 00:32:44,200 --> 00:32:47,880 Speaker 1: Al Sharpton talking about the police, and this is what 563 00:32:47,960 --> 00:32:51,600 Speaker 1: he has to say about the cops. Play cut five. Well, 564 00:32:51,640 --> 00:32:56,120 Speaker 1: the thing we don't know is the circumstances in North Carolina. 565 00:32:56,320 --> 00:33:00,440 Speaker 1: We don't know everything about Ohio. Whether they're was another 566 00:33:00,480 --> 00:33:02,960 Speaker 1: way because there where the families reached out to us. 567 00:33:03,000 --> 00:33:06,440 Speaker 1: We don't know everything. We do know Knights was there, 568 00:33:06,840 --> 00:33:09,520 Speaker 1: we know Dante there was no lay. But the one 569 00:33:09,600 --> 00:33:13,160 Speaker 1: thread between all of them and many other cases is 570 00:33:13,200 --> 00:33:17,240 Speaker 1: the lack of trust in the criminal justice system, in 571 00:33:17,320 --> 00:33:21,560 Speaker 1: law enforcement. That's why you need the legislation. Every case, 572 00:33:21,720 --> 00:33:25,080 Speaker 1: the police may not be wrong, but every case they're 573 00:33:25,120 --> 00:33:28,680 Speaker 1: not right, And that is why there's such a distrust 574 00:33:28,840 --> 00:33:33,600 Speaker 1: because they unilaterally always gone with the police. The police 575 00:33:33,680 --> 00:33:36,640 Speaker 1: is right, don't question the police. When when I stood 576 00:33:36,680 --> 00:33:40,240 Speaker 1: with the Floyd family of the other night and heard 577 00:33:40,280 --> 00:33:42,680 Speaker 1: the verdict and all of us broke out in tears, 578 00:33:43,000 --> 00:33:46,160 Speaker 1: I thought about how I stood in courtrooms with the 579 00:33:46,240 --> 00:33:50,120 Speaker 1: mother of I'madu Diallo and the mother Sean Bell and 580 00:33:50,400 --> 00:33:54,360 Speaker 1: Eric Garner and others that never even got a guilty 581 00:33:54,400 --> 00:33:58,400 Speaker 1: Bridie sum in Eric Gardner's case, never even got the court. 582 00:33:58,520 --> 00:34:01,680 Speaker 1: Michael Brown's case to a rice is k they never 583 00:34:01,720 --> 00:34:05,880 Speaker 1: even got to cut. So in many ways, people are saying, well, 584 00:34:05,960 --> 00:34:09,560 Speaker 1: let's judge things one by one, which may be right, 585 00:34:10,000 --> 00:34:12,319 Speaker 1: but then judge them one by one. Then when the 586 00:34:12,360 --> 00:34:15,719 Speaker 1: police kills a twelve year old boy in Ohio, then 587 00:34:15,920 --> 00:34:18,919 Speaker 1: judge that one by one. The police have almost had 588 00:34:19,080 --> 00:34:23,759 Speaker 1: immunity in terms of some areas of law enforcement, and 589 00:34:23,880 --> 00:34:28,000 Speaker 1: that needs to stop by federal law. Now do you 590 00:34:28,120 --> 00:34:34,000 Speaker 1: notice that all of these cases are always conflated with 591 00:34:34,080 --> 00:34:38,200 Speaker 1: one another. And the Tamir rights case was was awful, 592 00:34:38,280 --> 00:34:42,880 Speaker 1: was horrifying. Obviously police officers weren't the wrong in that. 593 00:34:43,480 --> 00:34:46,040 Speaker 1: And when that came out, if you're not aware of that, 594 00:34:46,080 --> 00:34:47,680 Speaker 1: there was a there was a kid that was is 595 00:34:47,800 --> 00:34:50,040 Speaker 1: like waving around a toy gun, I believe, and which 596 00:34:50,040 --> 00:34:52,520 Speaker 1: shot and kill is twelve thirteen years old, I think. 597 00:34:54,719 --> 00:34:59,080 Speaker 1: But there is this conflation of all of these different 598 00:35:00,280 --> 00:35:04,200 Speaker 1: situations that they use to push this narrative and push 599 00:35:04,200 --> 00:35:06,640 Speaker 1: this agenda and al startin. He was dragged all over 600 00:35:06,680 --> 00:35:09,440 Speaker 1: the internet a couple of days ago because he was talking. 601 00:35:09,520 --> 00:35:11,560 Speaker 1: You know, he did a video I'm on my way 602 00:35:11,560 --> 00:35:14,359 Speaker 1: to Minneapolis fighting for justice, and you know, and he's 603 00:35:14,360 --> 00:35:17,759 Speaker 1: strutt into a private jet and he decided and he 604 00:35:17,840 --> 00:35:20,239 Speaker 1: thinks in his mind that that's a good thing to 605 00:35:20,320 --> 00:35:22,880 Speaker 1: put on Twitter. And this is why you want to 606 00:35:22,920 --> 00:35:27,800 Speaker 1: talk about a lack of trust. I trust police officers 607 00:35:27,800 --> 00:35:31,800 Speaker 1: more than I trust any of these race hustlers, because 608 00:35:31,800 --> 00:35:34,920 Speaker 1: they have been doing this over and over and over 609 00:35:35,040 --> 00:35:40,359 Speaker 1: again for decades. At this point, they do not care 610 00:35:41,120 --> 00:35:46,160 Speaker 1: that they are hurting Black communities. They do not care 611 00:35:46,880 --> 00:35:51,000 Speaker 1: about the Black lives that are lost because of gang violence, 612 00:35:51,360 --> 00:35:54,360 Speaker 1: or the Black lives that are lost during the BLM protests. 613 00:35:54,800 --> 00:35:57,560 Speaker 1: They do not care about these lives because these lives 614 00:35:57,560 --> 00:36:01,480 Speaker 1: do not fit their agenda. These lives do not give 615 00:36:01,520 --> 00:36:05,440 Speaker 1: them more political power. These lives do not give them 616 00:36:05,440 --> 00:36:10,880 Speaker 1: more notoriety. So I trust them less and less. And 617 00:36:10,920 --> 00:36:14,160 Speaker 1: I'm gonna tell you, when you talk to real people 618 00:36:14,360 --> 00:36:19,200 Speaker 1: in America, black wider otherwise, particularly Black Americans, these black 619 00:36:19,239 --> 00:36:22,879 Speaker 1: liberal commentators that run around to cable news and talk 620 00:36:22,920 --> 00:36:26,319 Speaker 1: all this gibberish, they don't represent the vast majority of 621 00:36:26,320 --> 00:36:28,680 Speaker 1: Black Americans because the vast majority of Black Americans have 622 00:36:28,840 --> 00:36:32,879 Speaker 1: common sense. Because this is common sense stuff that we're 623 00:36:32,920 --> 00:36:36,240 Speaker 1: dealing with here. And I'm gonna tell you something. The 624 00:36:36,320 --> 00:36:42,960 Speaker 1: pattern of police officer hatred that is being normalized here 625 00:36:43,200 --> 00:36:46,480 Speaker 1: hurts Black communities. And I'm gonna tell you all about that. 626 00:36:46,760 --> 00:36:50,600 Speaker 1: After the break, could the stock market actually surprise a 627 00:36:50,640 --> 00:36:53,200 Speaker 1: lot of folks and be on the precipice here of 628 00:36:53,239 --> 00:36:56,799 Speaker 1: some historic gains. All depends on what you're invested in 629 00:36:56,800 --> 00:36:59,720 Speaker 1: and what you do. But my friends at Carnival Trading 630 00:36:59,760 --> 00:37:02,520 Speaker 1: believe they've spotted some key indicators that mean that they're 631 00:37:02,520 --> 00:37:04,960 Speaker 1: gonna be big profits in some sectors that the Wall 632 00:37:05,000 --> 00:37:08,480 Speaker 1: Street experts are gonna miss. Carnivore Trading is an elite 633 00:37:08,520 --> 00:37:12,080 Speaker 1: squad of strategists who influence major Wall Street investors, and 634 00:37:12,160 --> 00:37:15,200 Speaker 1: when you subscribe at Carnivore, you'll receive real time text 635 00:37:15,200 --> 00:37:18,400 Speaker 1: alerts of explosive trades they're making for their elite clients. 636 00:37:18,800 --> 00:37:21,440 Speaker 1: You can mirror their trades with whatever broker you use 637 00:37:21,600 --> 00:37:23,680 Speaker 1: or pass. That's fine, but why would you pass when 638 00:37:23,680 --> 00:37:26,040 Speaker 1: their trades routinely crush the s and P five hundred. 639 00:37:26,120 --> 00:37:29,720 Speaker 1: When you see this for yourself, then you'll know they guarantee, 640 00:37:29,719 --> 00:37:34,160 Speaker 1: that's right, guarantee you'll earn five times your monthly subscription 641 00:37:34,560 --> 00:37:37,360 Speaker 1: or double your money back. That's five times your monthly 642 00:37:37,360 --> 00:37:41,000 Speaker 1: subscription fee. Just by mirroring their trades, the market could 643 00:37:41,040 --> 00:37:43,080 Speaker 1: be on the verge of a massive ups when Carnivore 644 00:37:43,080 --> 00:37:46,400 Speaker 1: thinks it is. Get off the sidelines and mirror Carnivores 645 00:37:46,440 --> 00:37:49,439 Speaker 1: trades today, right now. You'll get two weeks free visit 646 00:37:49,520 --> 00:37:52,760 Speaker 1: get our trades dot com and use promo code buck 647 00:37:53,120 --> 00:37:56,359 Speaker 1: that's get our Trades dot com. Make sure you enter 648 00:37:56,400 --> 00:37:59,120 Speaker 1: that promo code buck to get two weeks free. See 649 00:37:59,160 --> 00:38:01,640 Speaker 1: website for guarantee terms and conditions. Past performance not a 650 00:38:01,680 --> 00:38:05,920 Speaker 1: guarantee of future earnings. This is the Buck Sexton Show podcast. 651 00:38:06,160 --> 00:38:10,279 Speaker 1: Join the conversations and message Buck on Facebook, Instagram, or 652 00:38:10,320 --> 00:38:13,960 Speaker 1: email Team Bucket iHeartMedia dot com. He may read it 653 00:38:14,000 --> 00:38:16,520 Speaker 1: on the show. We have all of this demonization of 654 00:38:16,560 --> 00:38:19,600 Speaker 1: police officers that we have people like you know, Al Sharpton, 655 00:38:19,840 --> 00:38:21,759 Speaker 1: you're talking about, you know, the police are. They may 656 00:38:21,760 --> 00:38:23,360 Speaker 1: not always be wrong, but they're never right. When we 657 00:38:23,440 --> 00:38:26,799 Speaker 1: have all of this stuff, what does this do to 658 00:38:27,080 --> 00:38:32,000 Speaker 1: the perception of police officers in these communities? And we'll 659 00:38:32,000 --> 00:38:34,920 Speaker 1: just talk about the black communities. The pattern of police 660 00:38:34,920 --> 00:38:38,680 Speaker 1: officer hatred hurts Black communities. It really does. And I 661 00:38:38,719 --> 00:38:42,279 Speaker 1: cannot overstate this enough because when you look at the 662 00:38:42,320 --> 00:38:47,280 Speaker 1: communities that are the most over policed in America, these 663 00:38:47,280 --> 00:38:51,959 Speaker 1: communities are majority African American because these are the most 664 00:38:52,000 --> 00:38:54,600 Speaker 1: crime written communities out there, particularly the communities and the 665 00:38:54,640 --> 00:38:58,279 Speaker 1: inner cities. And these are just facts. These are just 666 00:38:58,440 --> 00:39:02,800 Speaker 1: facts because facts are facts. Facts don't have an agenda. 667 00:39:03,040 --> 00:39:06,160 Speaker 1: Facts don't have a narrative, Facts don't have a liberal 668 00:39:06,239 --> 00:39:10,319 Speaker 1: or conservative bias. They're just facts. And the communities that 669 00:39:10,320 --> 00:39:14,720 Speaker 1: are hurt the most by these are primarily African American communities. 670 00:39:14,719 --> 00:39:17,560 Speaker 1: And I'll tell you what is going to happen. When 671 00:39:19,200 --> 00:39:22,680 Speaker 1: people start demonizing the police in this way and that 672 00:39:22,719 --> 00:39:24,840 Speaker 1: they keep on doing it, what is going to happen. 673 00:39:25,160 --> 00:39:29,879 Speaker 1: Police are going to start fleeing the cities. They are 674 00:39:29,920 --> 00:39:34,400 Speaker 1: going to start leaving these cities behind. That is exactly 675 00:39:34,440 --> 00:39:38,040 Speaker 1: what is going to happen. And there's an article from 676 00:39:38,040 --> 00:39:41,720 Speaker 1: the Daily Caller basically dealing with record high murder rates 677 00:39:41,840 --> 00:39:48,359 Speaker 1: Philadelphia struggling to recruit police officers. A combination of the 678 00:39:48,400 --> 00:39:51,480 Speaker 1: coronavirus pandemic putting police training on hold, a decreasing amount 679 00:39:51,520 --> 00:39:53,960 Speaker 1: of people wanting to become police officers in big city, 680 00:39:54,239 --> 00:39:57,640 Speaker 1: and a spike in retirements have all contributed to the problem. 681 00:39:57,719 --> 00:40:00,480 Speaker 1: This is coming from John mcnsby, who's the president of 682 00:40:00,520 --> 00:40:05,480 Speaker 1: the Eternal Order of Police in Philadelphia. So you have 683 00:40:06,360 --> 00:40:11,920 Speaker 1: police officers who do not want to be they are 684 00:40:11,960 --> 00:40:15,440 Speaker 1: seeing the hatred that is coming up for police officers 685 00:40:15,640 --> 00:40:17,759 Speaker 1: and they are just retiring. They are saying, I don't 686 00:40:17,800 --> 00:40:20,520 Speaker 1: want to do this anymore. I literally cannot think think 687 00:40:20,560 --> 00:40:23,600 Speaker 1: of a more thankless job in the world right now 688 00:40:23,719 --> 00:40:26,600 Speaker 1: than to be a police officer because everybody hates them, 689 00:40:26,600 --> 00:40:29,240 Speaker 1: nobody respects them. People think that they are the enemy. 690 00:40:29,640 --> 00:40:31,880 Speaker 1: And this is what they are being told by Lebron James, 691 00:40:31,880 --> 00:40:34,400 Speaker 1: this is what they're being told by these people in 692 00:40:34,440 --> 00:40:36,840 Speaker 1: the media. This is what they're being told by, you know, 693 00:40:36,880 --> 00:40:41,759 Speaker 1: people like Juan Williams on Fox News. And what is 694 00:40:41,800 --> 00:40:48,319 Speaker 1: going to happen is the suburbs are going to start 695 00:40:48,360 --> 00:40:50,879 Speaker 1: filling these spots. Now. In this article they talk about 696 00:40:50,880 --> 00:40:53,399 Speaker 1: Philly and how Philly can't get cops. Who would want 697 00:40:53,400 --> 00:40:55,600 Speaker 1: to move to Philadelphia right now? Who would want to 698 00:40:55,640 --> 00:40:58,080 Speaker 1: move to Philadelphia right now to be a police officer? 699 00:40:58,920 --> 00:41:01,799 Speaker 1: What crazy person would want to do that would want 700 00:41:01,840 --> 00:41:05,319 Speaker 1: to police the streets of Philadelphia right now or any 701 00:41:05,400 --> 00:41:12,279 Speaker 1: large city Detroit, Philadelphia, New York, La, Atlanta. Who would 702 00:41:12,320 --> 00:41:14,920 Speaker 1: want to go to any of these large cities to police. 703 00:41:16,280 --> 00:41:20,359 Speaker 1: These guys are moving to the suburbs. They are having 704 00:41:20,400 --> 00:41:23,480 Speaker 1: no problem finding police officers. And this is what happens, 705 00:41:24,320 --> 00:41:26,640 Speaker 1: And this is you know, the director of this Bucks 706 00:41:26,640 --> 00:41:30,440 Speaker 1: County Police Training Center told the Daily Caller that I 707 00:41:30,520 --> 00:41:32,080 Speaker 1: do see a number of officers from some of the 708 00:41:32,120 --> 00:41:36,960 Speaker 1: bigger cities like New York and Philadelphia. Yes, And this 709 00:41:37,040 --> 00:41:40,800 Speaker 1: person also said that the Philadelphia Police Office department is 710 00:41:40,840 --> 00:41:45,200 Speaker 1: operating at dangerously low levels. So what happens when we 711 00:41:45,280 --> 00:41:49,239 Speaker 1: have a society that demonizes police. These people do not 712 00:41:49,320 --> 00:41:52,239 Speaker 1: want to do this job. They leave the cities that 713 00:41:52,320 --> 00:41:56,239 Speaker 1: need them the most. In the cities get more and 714 00:41:56,360 --> 00:42:03,680 Speaker 1: more dangerous. There is a shocking rise of violent crime 715 00:42:04,120 --> 00:42:07,239 Speaker 1: in a lot of the cities in America, and you 716 00:42:07,280 --> 00:42:09,120 Speaker 1: see it all over the place. If you want to 717 00:42:09,120 --> 00:42:10,960 Speaker 1: take about you want to think about New York in exact, 718 00:42:10,960 --> 00:42:13,319 Speaker 1: for example, you want to see the real New York. 719 00:42:13,560 --> 00:42:16,799 Speaker 1: Don't see you ever, notice how you don't see a 720 00:42:16,840 --> 00:42:18,960 Speaker 1: whole lot about what it actually looks like on the 721 00:42:18,960 --> 00:42:21,040 Speaker 1: streets of New York. You know, you see the people 722 00:42:21,040 --> 00:42:22,719 Speaker 1: on the sets on the MSNBC, and they're you know, 723 00:42:22,719 --> 00:42:25,160 Speaker 1: they're they're you know, coming in from their homes and 724 00:42:25,239 --> 00:42:27,640 Speaker 1: from the studios or whatever. But you don't see anything 725 00:42:27,680 --> 00:42:30,240 Speaker 1: that's really going on in the streets. Because violent crime 726 00:42:30,360 --> 00:42:33,200 Speaker 1: is rising in New York, violent crime is rising in Detroit, 727 00:42:33,280 --> 00:42:36,800 Speaker 1: violent crime is rising in Philadelphia. Violent crime is rising 728 00:42:36,880 --> 00:42:41,760 Speaker 1: in these places because they are struggling to recruit police officers. 729 00:42:41,880 --> 00:42:46,359 Speaker 1: Police officers do not want to do this job. They 730 00:42:46,440 --> 00:42:49,799 Speaker 1: do not want to do this job. And here's the 731 00:42:49,840 --> 00:42:53,840 Speaker 1: thing about the police officers. Then the demonizing in the 732 00:42:53,880 --> 00:42:56,879 Speaker 1: black communities. Um Candice Owens got a lover, her has 733 00:42:56,920 --> 00:43:01,160 Speaker 1: had a lot to say about this topick this week, 734 00:43:01,719 --> 00:43:05,719 Speaker 1: and I want to play you this is something that 735 00:43:06,800 --> 00:43:09,880 Speaker 1: she said about police off policing right now and the 736 00:43:09,880 --> 00:43:13,719 Speaker 1: police officers and just this moment that we're in when 737 00:43:13,719 --> 00:43:17,680 Speaker 1: it comes to policing, Play cut sixteen. If that's what 738 00:43:17,719 --> 00:43:19,960 Speaker 1: you want, If you would like for police officers simply 739 00:43:20,000 --> 00:43:23,160 Speaker 1: stop policing, raise your hand and let me tell you something. 740 00:43:23,480 --> 00:43:24,839 Speaker 1: That's what you're going to get, and let me tell 741 00:43:24,880 --> 00:43:28,200 Speaker 1: you something else. That wish is a racist one because 742 00:43:28,239 --> 00:43:30,560 Speaker 1: we all know which are the neighborhoods that need the 743 00:43:30,560 --> 00:43:33,879 Speaker 1: most policing. We all know that they are minority neighborhoods 744 00:43:33,960 --> 00:43:36,719 Speaker 1: where the police are called called the most to deal 745 00:43:36,760 --> 00:43:39,400 Speaker 1: with violent crimes. We all know that this scenario is 746 00:43:39,400 --> 00:43:41,279 Speaker 1: going to lead to more black death. So if you're 747 00:43:41,320 --> 00:43:43,840 Speaker 1: a person who goes, well, we just got new police officers. 748 00:43:43,960 --> 00:43:46,759 Speaker 1: You know exactly what you are doing. I don't blame 749 00:43:46,760 --> 00:43:48,879 Speaker 1: police officers right now, if they want to step down, 750 00:43:48,880 --> 00:43:52,040 Speaker 1: I don't blame them personally. I would almost respect if 751 00:43:52,080 --> 00:43:54,520 Speaker 1: police officers want on strike, I would respect it. You 752 00:43:54,560 --> 00:43:57,479 Speaker 1: know what this Let the neighborhoods turn into Gotham City, 753 00:43:58,080 --> 00:44:00,719 Speaker 1: Let the neighborhoods, let them riot, let and let them 754 00:44:00,760 --> 00:44:03,120 Speaker 1: burn if they want to murder one another. And what 755 00:44:03,520 --> 00:44:06,120 Speaker 1: would be the purpose of a police officer wanting to 756 00:44:06,160 --> 00:44:08,480 Speaker 1: hold that badge, have that badge anymore when this is 757 00:44:08,480 --> 00:44:12,719 Speaker 1: how we treat them. And I mean, she's absolutely right, 758 00:44:13,520 --> 00:44:16,480 Speaker 1: she is absolutely right. Look, I can't think of a 759 00:44:16,520 --> 00:44:20,120 Speaker 1: more thankless job to do right now in the United 760 00:44:20,160 --> 00:44:23,640 Speaker 1: States other than being a police officer. You are risking 761 00:44:23,719 --> 00:44:26,720 Speaker 1: your life every single day you are walking down the street. 762 00:44:26,800 --> 00:44:31,080 Speaker 1: People hate you. People hate you. I remember last summer, 763 00:44:31,120 --> 00:44:33,759 Speaker 1: a couple summers ago, and you will probably see Instagram 764 00:44:33,920 --> 00:44:37,439 Speaker 1: in Twitter videos and stuff like this, people running around 765 00:44:37,520 --> 00:44:40,279 Speaker 1: shooting cops with supersoker water guns. You know, some of 766 00:44:40,320 --> 00:44:44,120 Speaker 1: them are filled with urine, throwing water balloons at them, 767 00:44:44,160 --> 00:44:46,960 Speaker 1: filled with urine. Stuff like that. This is how police 768 00:44:47,000 --> 00:44:50,200 Speaker 1: officers are treated in these communities and you know who 769 00:44:50,320 --> 00:44:53,560 Speaker 1: is not bashing police, and you know who is not 770 00:44:53,719 --> 00:44:57,319 Speaker 1: asking for less police. The people who actually live in 771 00:44:57,360 --> 00:45:00,960 Speaker 1: these communities, the people who live in these communities, are 772 00:45:01,000 --> 00:45:05,480 Speaker 1: not asking for more police. It is just the wealthy 773 00:45:05,760 --> 00:45:10,560 Speaker 1: black and white liberal elite that do not have to 774 00:45:10,600 --> 00:45:14,280 Speaker 1: live in these neighborhoods that get carded around from card 775 00:45:14,360 --> 00:45:18,520 Speaker 1: to set, to Martha's Vineyard to wherever. They do not 776 00:45:18,640 --> 00:45:20,960 Speaker 1: have to live these lives. And I'm telling you something, 777 00:45:21,040 --> 00:45:24,279 Speaker 1: they do not care about the neighborhoods that they are 778 00:45:24,320 --> 00:45:30,000 Speaker 1: destroying with this rhetoric. They do not care because to 779 00:45:30,160 --> 00:45:34,040 Speaker 1: these people, and this is the problem with liberalism, This 780 00:45:34,160 --> 00:45:36,799 Speaker 1: is just the problem with liberalism in general. Because you 781 00:45:36,800 --> 00:45:39,439 Speaker 1: can say the right things, the quote unquote right things. 782 00:45:39,600 --> 00:45:41,800 Speaker 1: They will say the things that will make them popular. 783 00:45:42,239 --> 00:45:44,080 Speaker 1: They will say the things that will make all the 784 00:45:44,120 --> 00:45:47,880 Speaker 1: other idiot seals clap. But these things are not real, 785 00:45:48,640 --> 00:45:53,760 Speaker 1: and these things have a detrimental impact on the lives 786 00:45:53,800 --> 00:45:57,200 Speaker 1: of the people in these communities. And it's a detrimental 787 00:45:57,200 --> 00:45:59,880 Speaker 1: impact on the lives of these people in the communities 788 00:46:00,080 --> 00:46:03,520 Speaker 1: that they claim to care for, because you cannot care 789 00:46:03,640 --> 00:46:07,160 Speaker 1: for the people in these communities, You cannot care for 790 00:46:07,560 --> 00:46:10,200 Speaker 1: people in inner city communities. You cannot care for people 791 00:46:10,400 --> 00:46:13,440 Speaker 1: in rural crime ring communities. You cannot care about people 792 00:46:13,840 --> 00:46:17,560 Speaker 1: and not tell them the truth because the truth is hard, 793 00:46:18,040 --> 00:46:20,759 Speaker 1: the truth hurts, and the truth sometimes sucks. And you 794 00:46:20,800 --> 00:46:22,440 Speaker 1: know what, the truth is not going to get you 795 00:46:22,719 --> 00:46:26,520 Speaker 1: ten thousand retweets, and the truth may not get you 796 00:46:26,800 --> 00:46:29,279 Speaker 1: an invite to sit down and moderate a conversation with 797 00:46:29,360 --> 00:46:32,719 Speaker 1: President Obama. And the truth certainly is not going to 798 00:46:32,760 --> 00:46:37,840 Speaker 1: get you a primetime show on MSNBC. But the truth 799 00:46:38,040 --> 00:46:41,120 Speaker 1: is the truth, facts or facts. And if we continue 800 00:46:41,160 --> 00:46:45,160 Speaker 1: to demonize the police in this way, if we continue 801 00:46:45,239 --> 00:46:50,400 Speaker 1: to engender a culture in which people hate police officers 802 00:46:52,080 --> 00:46:55,320 Speaker 1: and start to live and create this real, weird world 803 00:46:55,560 --> 00:47:00,600 Speaker 1: in which all police officers are racist white people as 804 00:47:00,600 --> 00:47:03,520 Speaker 1: opposed to the black people and the Latino people and 805 00:47:03,560 --> 00:47:06,120 Speaker 1: the Asian people and all of these people that are 806 00:47:06,160 --> 00:47:09,000 Speaker 1: also serving to keep the peace. If we continue to 807 00:47:10,000 --> 00:47:12,960 Speaker 1: fall down into this rabbit hole, this is not going 808 00:47:13,000 --> 00:47:15,279 Speaker 1: to end well. And you see it happening with the 809 00:47:15,280 --> 00:47:17,760 Speaker 1: police officers leaving the big cities. You see it happened 810 00:47:17,960 --> 00:47:24,440 Speaker 1: with the crime rising DC, Detroit, Atlanta, La, Philly, New York, 811 00:47:25,080 --> 00:47:29,720 Speaker 1: certain areas of Brooklyn certainly the Bronx, and so these 812 00:47:29,760 --> 00:47:33,359 Speaker 1: communities are the communities that are hurt the most. So 813 00:47:33,560 --> 00:47:37,480 Speaker 1: we have to start having a different conversation about this, 814 00:47:37,680 --> 00:47:42,440 Speaker 1: and we have to start holding the media accountable and 815 00:47:42,680 --> 00:47:48,600 Speaker 1: holding these people who spout out this rhetoric more accountable 816 00:47:48,680 --> 00:47:51,440 Speaker 1: for this stuff, because this is going to end up 817 00:47:51,640 --> 00:47:54,040 Speaker 1: hurting these communities