1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,360 --> 00:00:07,680 Speaker 1: Sexton Show podcast. Welcome in everybody to the Clay Travis 3 00:00:07,680 --> 00:00:12,320 Speaker 1: and Buck Sexton Show. Buck that's me gonna be solo 4 00:00:12,520 --> 00:00:16,320 Speaker 1: today because our main man, Clay is on a lovely 5 00:00:16,400 --> 00:00:19,919 Speaker 1: vacation with the family, the wife and kids is boys 6 00:00:20,239 --> 00:00:22,759 Speaker 1: having a great time up in Michigan. Lovely time a 7 00:00:22,800 --> 00:00:25,000 Speaker 1: year to be up there. But I've got a lot 8 00:00:25,040 --> 00:00:27,600 Speaker 1: to lead you through today, so we're going to dive 9 00:00:27,640 --> 00:00:33,560 Speaker 1: into it together. Later on doctor Slash. Senator Rand Paul 10 00:00:33,600 --> 00:00:36,040 Speaker 1: will be with us to talk about the Gain of 11 00:00:36,120 --> 00:00:41,080 Speaker 1: Function hearings Gain of Function research hearings on Cappel Hill, 12 00:00:41,440 --> 00:00:43,800 Speaker 1: where I mean you got to hear some of the 13 00:00:43,800 --> 00:00:48,160 Speaker 1: stuff that's being said, some of the conversations about wait, 14 00:00:48,320 --> 00:00:50,279 Speaker 1: this is the kind of research that was going on 15 00:00:50,320 --> 00:00:54,640 Speaker 1: at the Wuhan Institute of Virology near the Wet Market 16 00:00:54,680 --> 00:00:59,200 Speaker 1: in Wuhan Province where they initially found COVID and all 17 00:00:59,240 --> 00:01:02,480 Speaker 1: of the back and forth over the lablake theory. Over 18 00:01:02,520 --> 00:01:05,720 Speaker 1: the zoonotic transmission, Yeah, we haven't heard that term really 19 00:01:05,720 --> 00:01:09,200 Speaker 1: in a while, have we? Zoonotic transmission from animals to 20 00:01:09,760 --> 00:01:13,640 Speaker 1: humans or two other animals so we'll discuss that. To 21 00:01:13,640 --> 00:01:16,520 Speaker 1: be sure, our friend Monica Crowley, former assistant secretary at 22 00:01:16,520 --> 00:01:21,600 Speaker 1: the Treasury Department under Trump and author TV host. You'll 23 00:01:21,640 --> 00:01:23,480 Speaker 1: know Monica, she'll be with us talking about the economy, 24 00:01:23,520 --> 00:01:28,600 Speaker 1: that Biden regime faltering, it seems right now, certainly on 25 00:01:28,640 --> 00:01:32,640 Speaker 1: the economic front, and then some other things. Oh, the 26 00:01:32,680 --> 00:01:36,240 Speaker 1: biggest it's not the biggest flop ever. This is a 27 00:01:36,319 --> 00:01:39,480 Speaker 1: quite a statistic because I find biggest box office bombs 28 00:01:39,480 --> 00:01:42,920 Speaker 1: of all time to be really interesting subject matter, because 29 00:01:42,959 --> 00:01:46,560 Speaker 1: it's remarkable to think that somebody could have spent and 30 00:01:46,880 --> 00:01:50,560 Speaker 1: meaning executives, people do this for a living one hundred, 31 00:01:50,600 --> 00:01:53,680 Speaker 1: one hundred and fifty million dollars on a movie and lose, 32 00:01:54,400 --> 00:01:57,360 Speaker 1: you know, eighty million, one hundred million dollars whatever it is, 33 00:01:57,440 --> 00:01:59,840 Speaker 1: or more than that. Some of the biggest box of 34 00:02:00,200 --> 00:02:02,280 Speaker 1: bombs of all time. I'll tell you what they are later. 35 00:02:02,320 --> 00:02:05,560 Speaker 1: I know you've got your a few movies. I'm sure 36 00:02:05,560 --> 00:02:07,920 Speaker 1: coming to mind. But there is a movie that is 37 00:02:07,960 --> 00:02:15,760 Speaker 1: all about marrying wokeness and a superhero comic book, well 38 00:02:15,880 --> 00:02:19,720 Speaker 1: Batman in this case bat Girl, that will be the 39 00:02:19,760 --> 00:02:26,160 Speaker 1: most expensive movie ever made to be entirely shelved, meaning 40 00:02:26,200 --> 00:02:30,680 Speaker 1: that they spent, get this, ninety million dollars on a 41 00:02:30,800 --> 00:02:34,880 Speaker 1: movie that they are now not going to show anyone, 42 00:02:35,000 --> 00:02:42,000 Speaker 1: not on streaming, not on demand, not on you know, YouTube, whatever, nothing, 43 00:02:42,840 --> 00:02:46,400 Speaker 1: because it is because some test audiences saw it and 44 00:02:46,560 --> 00:02:50,919 Speaker 1: hated it so much. It's remarkable, isn't it. That's that's 45 00:02:50,919 --> 00:02:54,160 Speaker 1: a stunning achievement. Ninety million dollars just up in smoke. 46 00:02:54,960 --> 00:02:59,200 Speaker 1: Wokeness does terrible things. Terrible things. People will find this 47 00:02:59,280 --> 00:03:02,639 Speaker 1: out more and more the hard wait. But I actually 48 00:03:02,680 --> 00:03:07,160 Speaker 1: had a moment of surprise when I went back and 49 00:03:07,200 --> 00:03:11,519 Speaker 1: read the transcript of a press conference by Mayor Eric 50 00:03:11,520 --> 00:03:18,279 Speaker 1: Adams of New York City and his Police Commissioner Commissioner 51 00:03:18,919 --> 00:03:23,440 Speaker 1: as they were discussing Commissioner Sewell the situation of crime 52 00:03:23,440 --> 00:03:25,400 Speaker 1: in New York City. Let let me just start with 53 00:03:25,639 --> 00:03:27,680 Speaker 1: this is the new mayor of New York, relatively new. 54 00:03:27,680 --> 00:03:30,720 Speaker 1: He's been the job, what seven eight months now here 55 00:03:30,760 --> 00:03:35,600 Speaker 1: he is his mandate is to get crime under control. 56 00:03:36,040 --> 00:03:39,360 Speaker 1: And this is what it sounds like when he's describing 57 00:03:40,280 --> 00:03:43,520 Speaker 1: in America's largest city of eight and a half million people, 58 00:03:44,360 --> 00:03:48,040 Speaker 1: what the criminal justice system is like. Our criminal justice 59 00:03:48,280 --> 00:03:52,920 Speaker 1: system is insane. It is dangerous, it is harmful and 60 00:03:53,000 --> 00:03:57,640 Speaker 1: it's destroying the fabric of our city. Under the current law, 61 00:03:58,200 --> 00:04:01,240 Speaker 1: judges are not allowed to consider whether someone is a 62 00:04:01,320 --> 00:04:06,520 Speaker 1: threat to public safety when deciding whether or not to 63 00:04:06,720 --> 00:04:11,480 Speaker 1: hold them in custody. This is a big mistake. As 64 00:04:11,480 --> 00:04:16,880 Speaker 1: a result of this insane, broken system, our recidivism rates 65 00:04:17,320 --> 00:04:21,719 Speaker 1: have skyrocket. Tude, I'm just wondering, does he sound like 66 00:04:21,760 --> 00:04:25,880 Speaker 1: anybody you all know that you've all heard recently. It's crazy, 67 00:04:26,200 --> 00:04:30,000 Speaker 1: It's insane. Recidivism is skyrocketing, right, It sounds like what 68 00:04:30,200 --> 00:04:32,520 Speaker 1: we've been saying on this show for a year now. 69 00:04:33,440 --> 00:04:36,080 Speaker 1: I live here in New York City. I was born 70 00:04:36,120 --> 00:04:38,200 Speaker 1: and raised here in New York City. I know this 71 00:04:38,279 --> 00:04:43,160 Speaker 1: town as well as anybody. And yeah, it's gotten worse. 72 00:04:44,000 --> 00:04:47,200 Speaker 1: The numbers show it. You're feeling on the streets that 73 00:04:47,360 --> 00:04:48,960 Speaker 1: sense you have, and any of you who live in 74 00:04:49,000 --> 00:04:51,159 Speaker 1: a city anywhere in the country where you've gotta always 75 00:04:51,160 --> 00:04:53,479 Speaker 1: be a little aware of your surroundings, you know, it's 76 00:04:53,520 --> 00:04:55,839 Speaker 1: more dangerous on the subway, more dangerous on the streets 77 00:04:55,839 --> 00:04:58,880 Speaker 1: at night. Something has changed here. And here you have 78 00:04:58,960 --> 00:05:04,120 Speaker 1: the mayor of New York telling everybody that, yes, what 79 00:05:04,240 --> 00:05:09,240 Speaker 1: the progressive prosecutors and the end mass incarceration. The defund 80 00:05:09,320 --> 00:05:13,240 Speaker 1: police BLM movement has done to this and so many 81 00:05:13,240 --> 00:05:20,200 Speaker 1: other cities is wildly destructive. It undermines public safety and 82 00:05:20,400 --> 00:05:24,040 Speaker 1: the data. They had a data dump which I'll share 83 00:05:24,120 --> 00:05:27,400 Speaker 1: some of it with you. There's just a yesterday official 84 00:05:27,440 --> 00:05:30,839 Speaker 1: press conference. Didn't get a lot, not a lot of pickup. 85 00:05:30,839 --> 00:05:33,039 Speaker 1: You'll notice at CNN, not a lot of pickup on 86 00:05:33,080 --> 00:05:38,480 Speaker 1: this over at MSNBC or you know, PBS. Oh, let's 87 00:05:38,480 --> 00:05:41,599 Speaker 1: talk more about ending mass incarceration today on PBS. You know, 88 00:05:42,240 --> 00:05:45,839 Speaker 1: it's all these libs who, even if they live in 89 00:05:45,839 --> 00:05:48,960 Speaker 1: a city that is plagued by rising crime rates, they 90 00:05:49,000 --> 00:05:51,880 Speaker 1: live in rich areas, They live in fancy parts, so 91 00:05:52,000 --> 00:05:55,120 Speaker 1: they feel disconnected from it. More important to them, It 92 00:05:55,240 --> 00:05:58,120 Speaker 1: is more important to the Schumers and Pelosi's of the 93 00:05:58,160 --> 00:06:02,599 Speaker 1: world that they feel righteous, really, that they get to 94 00:06:02,600 --> 00:06:08,440 Speaker 1: be sanctimonious and a crew power while virtue signaling. Then 95 00:06:08,640 --> 00:06:14,480 Speaker 1: people in this country, including the minorities who are disproportionately 96 00:06:14,560 --> 00:06:18,480 Speaker 1: the victims of crime, are actually safer. More important to 97 00:06:18,480 --> 00:06:20,480 Speaker 1: the rich lifestyle lives that they get to walk around 98 00:06:20,480 --> 00:06:23,200 Speaker 1: and think, oh, did you see the BLM sticker I 99 00:06:23,279 --> 00:06:27,640 Speaker 1: have on my yard? Sign I'm doing my part for justice. Yeah, 100 00:06:27,680 --> 00:06:32,560 Speaker 1: what's happening in predominantly black and Hispanic neighborhoods in the 101 00:06:32,640 --> 00:06:37,640 Speaker 1: last two years in New York, Los Angeles, Houston, Chicago. 102 00:06:37,839 --> 00:06:41,000 Speaker 1: What's been going on since Democrats who put their BLM 103 00:06:41,040 --> 00:06:44,719 Speaker 1: stickers and the black square up on Instagram and pray 104 00:06:44,800 --> 00:06:48,000 Speaker 1: to Saint George Floyd. What has happened in the cities 105 00:06:48,000 --> 00:06:53,320 Speaker 1: that have taken that mantra? Well, you've got do you 106 00:06:53,400 --> 00:06:55,560 Speaker 1: have to take my word for it, although you should. 107 00:06:56,320 --> 00:06:59,760 Speaker 1: The Mayor of New York, Eric Adams, is laying it 108 00:06:59,800 --> 00:07:02,080 Speaker 1: out for everybody. He said, the criminal justice system is 109 00:07:02,120 --> 00:07:07,400 Speaker 1: insane recidivism rates and this was the big objection, the 110 00:07:07,480 --> 00:07:12,559 Speaker 1: objection to the change in our criminal justice system, which 111 00:07:12,600 --> 00:07:15,600 Speaker 1: came from a moment of you know, the panic of 112 00:07:15,800 --> 00:07:20,880 Speaker 1: mass white guilt during the BLM riots. It was okay, well, 113 00:07:20,880 --> 00:07:23,880 Speaker 1: we have to change things. Let's defund police. Let's let's 114 00:07:23,880 --> 00:07:30,640 Speaker 1: have state legislatures push push push laws that make it 115 00:07:31,080 --> 00:07:34,680 Speaker 1: so that you get out effectively right after a criminal infractions, 116 00:07:34,720 --> 00:07:38,320 Speaker 1: that we lower, we lower the pain points for being 117 00:07:38,360 --> 00:07:41,880 Speaker 1: a criminal. That was effectively what they were doing under 118 00:07:41,920 --> 00:07:44,080 Speaker 1: the pretense that what a lot of innocent people are 119 00:07:44,080 --> 00:07:47,240 Speaker 1: spending long time in prison. That's just not true. That's 120 00:07:47,280 --> 00:07:49,200 Speaker 1: not true. Ninety nine out of one hundred people in 121 00:07:49,200 --> 00:07:51,720 Speaker 1: the criminal justice system serving actual time. I got news 122 00:07:51,760 --> 00:07:55,160 Speaker 1: for you. They did the crime. I know there are 123 00:07:55,200 --> 00:07:57,120 Speaker 1: innocence and our people are gonna, yeah, what about this, 124 00:07:57,120 --> 00:08:00,160 Speaker 1: because yeah, of course, ninety nine out of one hundred 125 00:07:59,800 --> 00:08:03,320 Speaker 1: the actual crime. And remember, we're at a time here 126 00:08:04,040 --> 00:08:08,920 Speaker 1: where people are being held in solitary for going on 127 00:08:09,040 --> 00:08:13,960 Speaker 1: two years for non violent crimes on January sixth in 128 00:08:14,000 --> 00:08:20,480 Speaker 1: some cases, while other people are committing ten fifteen, one 129 00:08:20,560 --> 00:08:26,200 Speaker 1: hundred serious crimes over months, if not years. Just let 130 00:08:26,240 --> 00:08:28,280 Speaker 1: them out, Just let them out. Don't want to punish 131 00:08:28,320 --> 00:08:32,440 Speaker 1: them too harshly. That seems unfair, That seems unjust. Nancy 132 00:08:32,480 --> 00:08:36,080 Speaker 1: Pelosi doesn't get to look at all of her rich 133 00:08:36,120 --> 00:08:39,200 Speaker 1: friends across their glasses, their big glasses of chardonnay and 134 00:08:39,280 --> 00:08:42,760 Speaker 1: feel like they're doing their part when people go to 135 00:08:42,800 --> 00:08:45,720 Speaker 1: prison who break the law a lot. No, that doesn't 136 00:08:45,720 --> 00:08:48,840 Speaker 1: make them feel good. Mayor Adams, New York City, Mayor 137 00:08:48,880 --> 00:08:50,840 Speaker 1: here you go. Let's look at the real numbers, he says. 138 00:08:50,880 --> 00:08:55,040 Speaker 1: In twenty twenty two, twenty five percent of the fourteen 139 00:08:55,120 --> 00:08:59,000 Speaker 1: hundred and ninety four people arrested for burglary committed another 140 00:08:59,080 --> 00:09:03,040 Speaker 1: felony within six days. That's three hundred ninety three people 141 00:09:03,400 --> 00:09:07,520 Speaker 1: who did the same In twenty seventeen, just seven point 142 00:09:07,600 --> 00:09:13,080 Speaker 1: seven percent went on to commit another crime. So call 143 00:09:13,160 --> 00:09:17,440 Speaker 1: it a tripling of the recidivism rate. That's just in 144 00:09:17,480 --> 00:09:20,920 Speaker 1: a few years, the recidivism rate tripled. Why they'll reform, 145 00:09:21,320 --> 00:09:25,040 Speaker 1: progressive prosecutors all of this. So this is now more 146 00:09:25,120 --> 00:09:27,360 Speaker 1: on the criminal justice end. Right, there's law and order. 147 00:09:27,640 --> 00:09:30,720 Speaker 1: You've all seen that show so many times. The cops 148 00:09:30,720 --> 00:09:33,400 Speaker 1: are doing their jobs. The cops are making a lot 149 00:09:33,400 --> 00:09:35,320 Speaker 1: of arrests. The cops are doing their part here in 150 00:09:35,320 --> 00:09:37,480 Speaker 1: New York a lot of other places, even with all 151 00:09:37,520 --> 00:09:40,560 Speaker 1: the pressure on them, even with the shifting political wins. 152 00:09:41,559 --> 00:09:45,160 Speaker 1: It's what happens after the arrest is made. That's where 153 00:09:45,160 --> 00:09:48,320 Speaker 1: the system is entirely breaking down. That is the week 154 00:09:48,520 --> 00:09:56,040 Speaker 1: seem that the Sorros radicals are using to undermine public 155 00:09:56,080 --> 00:10:00,160 Speaker 1: safety in the name of racial justice. This is what 156 00:10:00,200 --> 00:10:03,800 Speaker 1: they're doing. Our criminal justice system is racist, therefore we 157 00:10:03,880 --> 00:10:05,480 Speaker 1: must change it in these ways. But hold on, that 158 00:10:05,520 --> 00:10:08,520 Speaker 1: doesn't address whatever racism you think is in the criminal 159 00:10:08,559 --> 00:10:13,400 Speaker 1: justice system. You're just not punishing criminals. They don't think 160 00:10:13,400 --> 00:10:16,560 Speaker 1: beyond that. And I'll get into some even more stunning 161 00:10:16,559 --> 00:10:20,440 Speaker 1: statistics here in a second. So the recidivism rate, for example, 162 00:10:20,480 --> 00:10:23,679 Speaker 1: for grand larceny in twenty twenty two, This is from 163 00:10:23,720 --> 00:10:27,400 Speaker 1: the mayor from the press conference. Sixty day recidivism rate 164 00:10:27,480 --> 00:10:32,120 Speaker 1: was sixteen point eight percent. In twenty seventeen six point 165 00:10:32,120 --> 00:10:38,000 Speaker 1: five percent, so it triples. It triples again another major 166 00:10:38,120 --> 00:10:42,040 Speaker 1: crime category where and it just goes by the way, 167 00:10:42,040 --> 00:10:43,720 Speaker 1: this is a long press conference. They go on and 168 00:10:43,800 --> 00:10:46,439 Speaker 1: on and on. This is happening all over the place. 169 00:10:46,679 --> 00:10:49,480 Speaker 1: This is not just happening across all crime categories in 170 00:10:49,480 --> 00:10:52,440 Speaker 1: New York City. It's in every city. It's in Portland, 171 00:10:52,520 --> 00:10:55,240 Speaker 1: it's in Houston, it's in la it's in Atlanta, it's 172 00:10:55,240 --> 00:10:58,600 Speaker 1: in Chicago, it's in Phoenix. Name a city where there 173 00:10:58,600 --> 00:11:03,640 Speaker 1: are progressive prosecutor and Democrats calling the shots. This became 174 00:11:04,360 --> 00:11:07,600 Speaker 1: this became almost a religious belief for the Libs. And 175 00:11:07,600 --> 00:11:10,600 Speaker 1: then this one is even more interestant to me. This 176 00:11:10,679 --> 00:11:14,439 Speaker 1: is from Chief Michael la Petri, who is the chief 177 00:11:14,440 --> 00:11:17,280 Speaker 1: of Control Strategies of the Police Department. Remember, I worked 178 00:11:17,320 --> 00:11:19,320 Speaker 1: in the Intel division the NYPD for a year. I 179 00:11:19,360 --> 00:11:21,480 Speaker 1: did a kind of a rotation there. I spent some 180 00:11:21,520 --> 00:11:24,280 Speaker 1: time in Intel division, so got used to looking at 181 00:11:24,320 --> 00:11:26,400 Speaker 1: the numbers and crime stats, and they do a lot 182 00:11:26,440 --> 00:11:30,520 Speaker 1: of analysis of this stuff. Here's what he says. In 183 00:11:30,559 --> 00:11:34,840 Speaker 1: New York City, we've identified seven hundred and sixteen individuals 184 00:11:35,440 --> 00:11:40,840 Speaker 1: who are responsible for approximately thirty percent of the shooting 185 00:11:40,880 --> 00:11:47,000 Speaker 1: incidents since twenty twenty one. Thirty percent of shooting incidents 186 00:11:47,080 --> 00:11:49,240 Speaker 1: since twenty twenty one. Thinking about that, over the last year, 187 00:11:50,800 --> 00:11:55,880 Speaker 1: you have less than a thousand people committing a third 188 00:11:55,920 --> 00:11:59,120 Speaker 1: of all shootings in New York. This really starts to 189 00:11:59,120 --> 00:12:01,480 Speaker 1: put it in perspective. Then, this is the critical point 190 00:12:01,520 --> 00:12:04,880 Speaker 1: that I've made you so many times, and this is 191 00:12:04,920 --> 00:12:11,479 Speaker 1: where the leftist mentality, critical race theory, indoctrination in BLM, 192 00:12:11,480 --> 00:12:16,840 Speaker 1: and all of this, this ideology rooted in agitation and 193 00:12:17,040 --> 00:12:23,160 Speaker 1: racial Marxism. This is where it all collapses because you 194 00:12:23,200 --> 00:12:27,319 Speaker 1: see that when you have roughly seven hundred people committing 195 00:12:27,600 --> 00:12:30,800 Speaker 1: a third of the shootings in New York. Because these 196 00:12:30,800 --> 00:12:33,839 Speaker 1: people are committing multiple shootings, fifty percent of them, by 197 00:12:33,960 --> 00:12:37,280 Speaker 1: the way, already have a felony charge. So they're looking 198 00:12:37,280 --> 00:12:39,199 Speaker 1: for them now. They already have a felony charge in 199 00:12:39,240 --> 00:12:43,840 Speaker 1: their background, and they shot somebody, just to put it 200 00:12:43,880 --> 00:12:46,960 Speaker 1: in perspective. Okay, So what we're going to say that 201 00:12:47,000 --> 00:12:49,760 Speaker 1: there there are let's say a few thousand shooting incidents, 202 00:12:50,080 --> 00:12:53,319 Speaker 1: I'm sorry, twenty four hundred shooting incidents in New York 203 00:12:53,360 --> 00:12:56,920 Speaker 1: City since twenty twenty one. Twenty four hundred shooting incidents, okay, total. 204 00:12:57,920 --> 00:13:04,640 Speaker 1: So you have call it two thousand people in New 205 00:13:04,720 --> 00:13:08,319 Speaker 1: York City total who have this is by the numbers, 206 00:13:08,320 --> 00:13:11,000 Speaker 1: by the book, by the stats, folks, about two thousand 207 00:13:11,000 --> 00:13:13,760 Speaker 1: people who have committed all of the shootings in New 208 00:13:13,880 --> 00:13:15,880 Speaker 1: York give or take right, it's about two thousand people. 209 00:13:17,120 --> 00:13:20,440 Speaker 1: What is what is the just because they say this 210 00:13:20,480 --> 00:13:23,360 Speaker 1: is about racial justice, what is the black population of 211 00:13:23,400 --> 00:13:26,400 Speaker 1: New York City alone? How many black residents? How many 212 00:13:26,400 --> 00:13:30,960 Speaker 1: black fellow New Yorkers are there here? About two million? Okay, So, 213 00:13:31,400 --> 00:13:36,520 Speaker 1: in the name of racial justice, the sorrows progressive prosecutors decide, 214 00:13:37,000 --> 00:13:42,000 Speaker 1: let's go really easy on the less than a thousand 215 00:13:42,080 --> 00:13:46,680 Speaker 1: people who are committing all of the shootings, who are disproportionately, 216 00:13:47,480 --> 00:13:54,280 Speaker 1: disproportionately victimizing the two million black residents of New York City, 217 00:13:54,320 --> 00:13:57,280 Speaker 1: the over a million Latino residents of New York City. 218 00:13:58,160 --> 00:14:02,360 Speaker 1: So ninety nine percent plus of the Black and Hispanic 219 00:14:02,400 --> 00:14:06,559 Speaker 1: population of New York City law abiding, living their lives, 220 00:14:06,640 --> 00:14:08,440 Speaker 1: committing no crimes, just like all the rest of them. 221 00:14:08,480 --> 00:14:10,720 Speaker 1: This is one I live of course, right, makes perfect sense. 222 00:14:11,280 --> 00:14:13,840 Speaker 1: But the progressive prosecutors come in and say, oh, we've 223 00:14:13,880 --> 00:14:17,520 Speaker 1: got disproportion. You know, we've got Rikers Island is ninety 224 00:14:17,520 --> 00:14:19,360 Speaker 1: percent black and Hispanic, which is true. By the way, 225 00:14:19,400 --> 00:14:22,800 Speaker 1: the primary jail here, the primary prison is nine black 226 00:14:22,840 --> 00:14:25,440 Speaker 1: and Hispanic. So we just need to let more people 227 00:14:25,440 --> 00:14:29,600 Speaker 1: out of prison. That is this is what they are doing. 228 00:14:30,280 --> 00:14:33,800 Speaker 1: I'm I'm not exaggerating. And they decided we have too 229 00:14:33,800 --> 00:14:37,080 Speaker 1: many people who are minorities in prison. Therefore we're going 230 00:14:37,120 --> 00:14:41,040 Speaker 1: to incarcerate them less, and there will be more shootings, 231 00:14:41,320 --> 00:14:47,080 Speaker 1: more robberies, more assaults that affect the several million black 232 00:14:47,120 --> 00:14:51,720 Speaker 1: and Hispanic residents of New York City disproportionately. I think 233 00:14:51,760 --> 00:14:55,640 Speaker 1: the criminal justice system should should should work much more 234 00:14:55,800 --> 00:14:58,240 Speaker 1: toward the benefit of the ninety nine point nine percent 235 00:14:58,560 --> 00:15:02,360 Speaker 1: of the law abiding in the minority community. In any community, 236 00:15:03,000 --> 00:15:05,840 Speaker 1: then cater to the interests of criminals who as they 237 00:15:05,880 --> 00:15:10,080 Speaker 1: point out in this by the numbers, by the stats, 238 00:15:11,280 --> 00:15:17,280 Speaker 1: are committing sometimes thirty fifty, a hundred serious crimes. Where 239 00:15:17,280 --> 00:15:19,440 Speaker 1: here you go. This is Chief Lapetrie. We talked about 240 00:15:19,440 --> 00:15:22,200 Speaker 1: the seven major arrest categories. When we look at who 241 00:15:22,240 --> 00:15:26,880 Speaker 1: are arresting, we are arresting individuals sometimes a hundred times 242 00:15:26,880 --> 00:15:31,680 Speaker 1: since twenty twenty a hundred times. Okay. That's from the 243 00:15:31,760 --> 00:15:36,720 Speaker 1: chief of Stats at the NYPD basically and crime. Yeah, 244 00:15:36,800 --> 00:15:38,080 Speaker 1: all right, take a break here for a second to 245 00:15:38,120 --> 00:15:40,920 Speaker 1: talk about Mike Lindell. He is an entrepreneur through and 246 00:15:41,200 --> 00:15:44,720 Speaker 1: through and a job creator for so many Americans. Their 247 00:15:44,800 --> 00:15:48,240 Speaker 1: success with one product introduction after another is remarkable. So 248 00:15:48,280 --> 00:15:50,200 Speaker 1: it is the quality of their products, like their sheets, 249 00:15:50,200 --> 00:15:52,920 Speaker 1: and betting they've got a big sale going on right 250 00:15:52,960 --> 00:15:56,200 Speaker 1: now on their per cow sheets Queen size sets that 251 00:15:56,240 --> 00:15:59,080 Speaker 1: we're ninety dollars are now less than forty dollars. The 252 00:15:59,120 --> 00:16:01,160 Speaker 1: beauty of these bed sheets is that they're breathable and 253 00:16:01,240 --> 00:16:04,120 Speaker 1: have a cool, crisp feel, perfect for hot summer nights. 254 00:16:04,360 --> 00:16:07,160 Speaker 1: They come with a ten year warranty and a sixty 255 00:16:07,240 --> 00:16:10,120 Speaker 1: day money back guarantee. 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This is Buck 266 00:16:39,960 --> 00:16:44,160 Speaker 1: solo today, Clay on vacation with his family. Gain a 267 00:16:44,240 --> 00:16:49,280 Speaker 1: Function Research, the Live League theory, Fouci China, A lot 268 00:16:49,320 --> 00:16:51,600 Speaker 1: of big topics to handle. Right now, we've got Senator 269 00:16:52,320 --> 00:16:56,160 Speaker 1: rand Paul with us now of Kentucky. Senator, thanks for 270 00:16:56,200 --> 00:17:00,200 Speaker 1: calling in absolutely thanks for having me Buck. So what 271 00:17:00,280 --> 00:17:03,520 Speaker 1: are you trying to get to the bottom off here 272 00:17:03,560 --> 00:17:06,040 Speaker 1: with these hearings with Gain of Function Research? What should 273 00:17:06,040 --> 00:17:09,639 Speaker 1: the American people know about this? And why are we 274 00:17:09,720 --> 00:17:14,000 Speaker 1: digging deeper into it? You know, a million Americans died, 275 00:17:14,440 --> 00:17:17,520 Speaker 1: six point four million people died around the world, and 276 00:17:17,560 --> 00:17:20,760 Speaker 1: I'm actually just shocked that the other side and many 277 00:17:20,800 --> 00:17:23,800 Speaker 1: on the Democrat side are not curious at all. Wouldn't 278 00:17:23,800 --> 00:17:26,000 Speaker 1: we all want to know if there's a chance, even 279 00:17:26,040 --> 00:17:28,399 Speaker 1: a chance that this came from the lab. Wouldn't we 280 00:17:28,400 --> 00:17:31,040 Speaker 1: want to know? And wouldn't we want more oversight on 281 00:17:31,080 --> 00:17:35,360 Speaker 1: the kind of research that creates novel viruses that increase 282 00:17:35,440 --> 00:17:39,600 Speaker 1: their transmissibility or increase their lethality. I don't understand why 283 00:17:39,640 --> 00:17:42,480 Speaker 1: anybody wouldn't want to know, But we had yesterday the 284 00:17:42,520 --> 00:17:45,879 Speaker 1: first hearing ever on gain of function. Gain of function 285 00:17:45,960 --> 00:17:50,080 Speaker 1: is when you take a virus of known lethality and 286 00:17:50,119 --> 00:17:53,320 Speaker 1: then you try to make it more infectious or more lethal. Well, 287 00:17:53,359 --> 00:17:56,159 Speaker 1: this is the research that was going on in Wuhan, China, 288 00:17:56,240 --> 00:17:59,399 Speaker 1: and we were funding. When doctor Vauci was asked directly 289 00:17:59,440 --> 00:18:01,480 Speaker 1: about it, East says, oh, no, we're not doing that. 290 00:18:02,040 --> 00:18:05,120 Speaker 1: But we had three scientists yesterday, including a scientist who's 291 00:18:05,160 --> 00:18:08,560 Speaker 1: the leading advocate for better oversight of this, who's been 292 00:18:08,600 --> 00:18:12,280 Speaker 1: talking about this since two thousand and four. He testified 293 00:18:12,359 --> 00:18:16,880 Speaker 1: yesterday that what Fauci said was false, that they were 294 00:18:16,920 --> 00:18:19,280 Speaker 1: doing of gain and function research. It was funded by 295 00:18:19,280 --> 00:18:24,000 Speaker 1: the NIH and interestingly, doctor Fauci's claimed that his people 296 00:18:24,000 --> 00:18:26,080 Speaker 1: had reviewed it and found it not to be gain 297 00:18:26,160 --> 00:18:29,760 Speaker 1: a function was not true. Either. There's a committee, a 298 00:18:29,760 --> 00:18:33,439 Speaker 1: pandemic committee that oversees these viruses and if they're supposed 299 00:18:33,480 --> 00:18:36,439 Speaker 1: to be dangerous or could cause a pandemic. They never 300 00:18:36,480 --> 00:18:40,119 Speaker 1: reviewed the research in China. To make things matters, To 301 00:18:40,240 --> 00:18:44,320 Speaker 1: make matters worse, that three scientists yesterday testify that the 302 00:18:44,320 --> 00:18:47,199 Speaker 1: Pandemic Review Committee that's supposed to prevent stuff like this 303 00:18:47,280 --> 00:18:50,879 Speaker 1: from happening is secret. We don't know the names of 304 00:18:50,920 --> 00:18:55,399 Speaker 1: the scientists on it, and their reports are secret. We 305 00:18:55,480 --> 00:18:59,600 Speaker 1: do know that they've only investigated three different research contracts. 306 00:18:59,800 --> 00:19:03,359 Speaker 1: They didn't investigate any of the Wuhan research that was 307 00:19:03,440 --> 00:19:05,600 Speaker 1: going on that may well have led to this virus 308 00:19:05,680 --> 00:19:11,119 Speaker 1: and this pandemic. And doctor Fauci and doctor Burkes and 309 00:19:11,200 --> 00:19:15,920 Speaker 1: some of the others Wilenski who have been pushing so 310 00:19:16,040 --> 00:19:19,840 Speaker 1: much policy during the COVID pandemic. I'm sure you've seen 311 00:19:20,200 --> 00:19:23,640 Speaker 1: Senator Paul they're continuing with this you need to mask 312 00:19:23,720 --> 00:19:28,119 Speaker 1: up indoors. They're continuing with the belief that the vaccines 313 00:19:28,200 --> 00:19:32,280 Speaker 1: work really well. What are you gonna do if Republicans 314 00:19:32,280 --> 00:19:35,000 Speaker 1: have control of the Senate and the House, which I'm hoping, 315 00:19:35,080 --> 00:19:37,080 Speaker 1: and this audience is hoping is what's going to happen 316 00:19:37,119 --> 00:19:39,960 Speaker 1: relatively soon here. What else is gonna you know, what 317 00:19:40,240 --> 00:19:42,400 Speaker 1: else do you want to chase down about COVID, about 318 00:19:42,440 --> 00:19:46,359 Speaker 1: the pandemic. I mean, you know, Ron de Santisa, Florida, 319 00:19:46,400 --> 00:19:49,840 Speaker 1: the governor just reminded everybody earlier this week that the 320 00:19:50,040 --> 00:19:52,639 Speaker 1: health establishment of this country thought it was okay to 321 00:19:52,760 --> 00:19:56,199 Speaker 1: approve BLM riots out in the streets while people couldn't 322 00:19:56,240 --> 00:19:58,639 Speaker 1: see their sick relatives in the hospital or hug them 323 00:19:58,720 --> 00:20:01,119 Speaker 1: or touch them. It's going to happen if you can 324 00:20:01,160 --> 00:20:05,800 Speaker 1: actually hold hearings the way you want to. We'll investigate 325 00:20:05,840 --> 00:20:08,200 Speaker 1: every last bit of this. We will subpoena all of 326 00:20:08,280 --> 00:20:11,160 Speaker 1: doctor Fauci's records. We're going to find out whether there 327 00:20:11,240 --> 00:20:14,040 Speaker 1: was a cover up. Within the first month, there was 328 00:20:14,040 --> 00:20:18,640 Speaker 1: a letter issued by into Lancet Scientific Journal that said 329 00:20:18,640 --> 00:20:21,560 Speaker 1: it was a conspiracy theory to indicate you believed this 330 00:20:21,600 --> 00:20:24,760 Speaker 1: came from a lab. This letter was organized by the 331 00:20:24,800 --> 00:20:28,919 Speaker 1: main funder of the Wuhan research Eco Health Alliance was 332 00:20:28,960 --> 00:20:32,360 Speaker 1: funding the research. He worked behind the scenes to get 333 00:20:32,400 --> 00:20:35,199 Speaker 1: scientists to sign the letter, saying you're crazy if you 334 00:20:35,240 --> 00:20:38,320 Speaker 1: think this came from a lab. He was covering his butt. Well, 335 00:20:38,320 --> 00:20:41,720 Speaker 1: we're going to find all of this information through subpoena. 336 00:20:41,800 --> 00:20:44,399 Speaker 1: As far as what works and doesn't work, there's a 337 00:20:44,520 --> 00:20:48,480 Speaker 1: host of information, in fact, a plethora of information that 338 00:20:48,560 --> 00:20:51,359 Speaker 1: shows that putting stickers on the floor does nothing but 339 00:20:51,560 --> 00:20:54,080 Speaker 1: enriched the people who make the stickers, but it doesn't 340 00:20:54,080 --> 00:20:59,040 Speaker 1: slow the virus down. Plexiglass doesn't work, masks don't work, 341 00:20:59,440 --> 00:21:01,760 Speaker 1: will be war masks, and where they didn't wear masks 342 00:21:01,760 --> 00:21:04,920 Speaker 1: that had exactly the same transmission in states that we're 343 00:21:04,960 --> 00:21:08,800 Speaker 1: under lockdown, like California versus states like Florida that we're open. 344 00:21:09,160 --> 00:21:12,440 Speaker 1: No difference in the transmission of the illness, no difference 345 00:21:12,480 --> 00:21:16,040 Speaker 1: in death rate. Ultimately, So really, I think what we're 346 00:21:16,080 --> 00:21:17,840 Speaker 1: gonna do is we're going to bring in the scientist 347 00:21:17,920 --> 00:21:20,639 Speaker 1: and we're going to discuss this and have science and 348 00:21:20,680 --> 00:21:24,240 Speaker 1: have evidence and have studies presented. But we can do 349 00:21:24,280 --> 00:21:27,359 Speaker 1: this again. I mean, they about destroyed our country. The 350 00:21:27,400 --> 00:21:30,040 Speaker 1: massive inflation that we're experiencing now is because of the 351 00:21:30,080 --> 00:21:32,600 Speaker 1: lockdown and all the checks that were passed out. Speaking 352 00:21:32,600 --> 00:21:36,440 Speaker 1: of Senator Rand Paul of Kentucky and Senator you mentioned inflation, 353 00:21:36,560 --> 00:21:39,640 Speaker 1: the checks that were passed out, what do you want 354 00:21:39,640 --> 00:21:43,680 Speaker 1: to tell people about this bill that now Joe Mansion 355 00:21:44,480 --> 00:21:48,840 Speaker 1: seems to have breathed new life into the anti inflation 356 00:21:49,119 --> 00:21:54,080 Speaker 1: spending tax bill. It's a terrible idea to raise taxes 357 00:21:54,119 --> 00:21:57,520 Speaker 1: when you're in a recession. All indications we're in a recession. 358 00:21:57,720 --> 00:22:00,239 Speaker 1: I think we're an intercession that we'll get worse. But 359 00:22:00,600 --> 00:22:03,680 Speaker 1: the tax increases a surefire way to make your recession 360 00:22:03,720 --> 00:22:07,919 Speaker 1: worse and to exacerbate unemployment. Even Barack Obama in two 361 00:22:07,920 --> 00:22:09,840 Speaker 1: thousand and eight said we're not going to raise taxes 362 00:22:09,920 --> 00:22:13,200 Speaker 1: during a recession. Chuck Schumer used to believe this. Most 363 00:22:13,240 --> 00:22:16,439 Speaker 1: economists have said, don't raise taxes in a recession. So 364 00:22:16,480 --> 00:22:19,040 Speaker 1: it's a really bad idea. But if you think the 365 00:22:19,119 --> 00:22:23,360 Speaker 1: Democrats electoral prospects were bad when they pass this, prices 366 00:22:23,400 --> 00:22:26,000 Speaker 1: are going to go up. There's a special tax on 367 00:22:26,119 --> 00:22:29,760 Speaker 1: natural gas. As we enter into the fall and winter season. 368 00:22:30,160 --> 00:22:32,040 Speaker 1: People are going to see their heating bills go up 369 00:22:32,080 --> 00:22:35,439 Speaker 1: and their natural gas bills go up. Everyone, not just 370 00:22:35,600 --> 00:22:38,640 Speaker 1: rich people. Everybody's bill is going to go up. So 371 00:22:38,720 --> 00:22:40,920 Speaker 1: this is going to be a disaster for the country, 372 00:22:41,400 --> 00:22:44,240 Speaker 1: and it's something we can only hope that maybe one 373 00:22:44,359 --> 00:22:49,160 Speaker 1: Senator Senator Cinema might say, my goodness, do I really 374 00:22:49,200 --> 00:22:51,440 Speaker 1: want to vote for something that it's going to lead 375 00:22:51,520 --> 00:22:53,760 Speaker 1: us further into recession? Do you think there's a chance, 376 00:22:53,840 --> 00:22:57,520 Speaker 1: a Senator Paul, that Senator Cinema may back off of this. 377 00:22:59,280 --> 00:23:01,760 Speaker 1: I'm seeing and she's and I only know what I'm 378 00:23:01,800 --> 00:23:04,119 Speaker 1: reading publicly, but what I'm reading publicly is that she 379 00:23:04,200 --> 00:23:06,440 Speaker 1: has some doubts out part of it. If I had 380 00:23:06,480 --> 00:23:09,119 Speaker 1: to guess, she's going to maybe whittle down some of 381 00:23:09,160 --> 00:23:11,639 Speaker 1: the taxes won't be quite as bad, but the overall 382 00:23:11,680 --> 00:23:13,480 Speaker 1: bill is going to still be bad for the country. 383 00:23:13,760 --> 00:23:18,000 Speaker 1: Can she make it less bad? Perhaps? Senator we're also 384 00:23:19,200 --> 00:23:22,080 Speaker 1: here heard all across the state of Kentucky, your home state, 385 00:23:22,119 --> 00:23:24,960 Speaker 1: and I know that there have been dozens killed in 386 00:23:25,000 --> 00:23:28,200 Speaker 1: the in the recent flooding. You've been following this issue 387 00:23:28,400 --> 00:23:31,080 Speaker 1: very closely, trying to get government attention and resources to 388 00:23:31,160 --> 00:23:35,720 Speaker 1: help folks affected. How is that that recovery effort going? 389 00:23:35,760 --> 00:23:38,720 Speaker 1: What can you tell us? You know, if you've seen 390 00:23:39,080 --> 00:23:42,880 Speaker 1: the pictures of dramatic rescues by helicopter, it's just out 391 00:23:42,920 --> 00:23:46,080 Speaker 1: of this world. But we have saved, you know, dozens 392 00:23:46,080 --> 00:23:48,320 Speaker 1: and dozens of people who might not have made it, 393 00:23:48,400 --> 00:23:51,040 Speaker 1: but for the great rescue workers. You know, these are 394 00:23:51,080 --> 00:23:55,960 Speaker 1: EMT helicopter pilots, National Guard, police, fire all the first 395 00:23:55,960 --> 00:23:59,440 Speaker 1: responders are just doing an incredible job. As we do, 396 00:23:59,480 --> 00:24:01,359 Speaker 1: there'll be a long effort to clean up and to 397 00:24:01,400 --> 00:24:05,520 Speaker 1: get people back into houses, shelter, food, etc. Clothing and 398 00:24:05,560 --> 00:24:08,080 Speaker 1: then really as we get beyond that, one of the 399 00:24:08,080 --> 00:24:10,320 Speaker 1: things I'm already starting to talk about is whether or not, 400 00:24:10,600 --> 00:24:14,119 Speaker 1: you know, we have great sophistication in measuring rainfall and 401 00:24:14,119 --> 00:24:18,880 Speaker 1: predicting rainfall and tornadoes. Certainly, as we measure rivers rising, 402 00:24:18,920 --> 00:24:22,439 Speaker 1: maybe there needs to be a secondary sort of alarm system. 403 00:24:22,440 --> 00:24:25,280 Speaker 1: It can be the same tornado alarm system, but maybe 404 00:24:25,320 --> 00:24:28,000 Speaker 1: it goes off such that people are saying they're now 405 00:24:28,080 --> 00:24:30,439 Speaker 1: telling us the second alarm means the river's gone up 406 00:24:30,440 --> 00:24:33,120 Speaker 1: three inches, and within the next hour, there's a chance 407 00:24:33,119 --> 00:24:35,720 Speaker 1: that's in my house. Centat how quickly did this come on? 408 00:24:35,800 --> 00:24:38,320 Speaker 1: For people that maybe don't maybe don't know the story, 409 00:24:38,400 --> 00:24:42,400 Speaker 1: the background, how quickly did this flood happen? We had 410 00:24:42,400 --> 00:24:45,000 Speaker 1: ten and a half to eleven inches in the space 411 00:24:45,000 --> 00:24:48,040 Speaker 1: of several hours. Now you'll see that sometimes on the 412 00:24:48,040 --> 00:24:51,640 Speaker 1: Gulf Coast and hurricanes, I grew up in the Houston area, 413 00:24:51,640 --> 00:24:54,080 Speaker 1: and I remember getting twenty seven inches in four days, 414 00:24:54,200 --> 00:24:55,960 Speaker 1: and that's a lot of rain, and you'd have standing 415 00:24:56,000 --> 00:24:59,439 Speaker 1: rain on the ground, but Houston's flat, whereas this is 416 00:25:00,000 --> 00:25:01,840 Speaker 1: all the rain is collected. So if you have ten 417 00:25:01,880 --> 00:25:04,480 Speaker 1: inches of rain, but all of the area of ten 418 00:25:04,520 --> 00:25:07,000 Speaker 1: inches of rain for miles and miles drains into one 419 00:25:07,119 --> 00:25:10,439 Speaker 1: gully or one holler, you can see the effects can be, 420 00:25:11,000 --> 00:25:13,560 Speaker 1: you know, fifty feet of water rising in a matter 421 00:25:13,600 --> 00:25:16,240 Speaker 1: of hours. And I think it truly was this. And 422 00:25:16,320 --> 00:25:19,400 Speaker 1: it was also particularly unfortunate because the rain was coming 423 00:25:19,440 --> 00:25:22,240 Speaker 1: in the evening and past midnight, so a lot of 424 00:25:22,240 --> 00:25:25,080 Speaker 1: the flooding was occurring after midnight when people are are 425 00:25:25,119 --> 00:25:28,040 Speaker 1: asleep and not maybe as a winner of the warnings 426 00:25:28,480 --> 00:25:30,720 Speaker 1: center around, Paul, always appreciate your time, sir, Thanks for 427 00:25:30,760 --> 00:25:35,199 Speaker 1: calling in. Thanks Buck. Plenty of men and women in 428 00:25:35,240 --> 00:25:38,240 Speaker 1: this country are experiencing chronic pain, my friends. It happens 429 00:25:38,240 --> 00:25:40,400 Speaker 1: as we get older, we push ourselves a little bit 430 00:25:40,560 --> 00:25:43,760 Speaker 1: or just physically demanding things day to day. 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This is Buck Sexton here in NYC. 450 00:26:45,320 --> 00:26:50,960 Speaker 1: And we just got word that and the last last 451 00:26:51,040 --> 00:26:53,640 Speaker 1: couple of hours, I think it was that Britney Griner, 452 00:26:54,200 --> 00:27:02,800 Speaker 1: the WNBA basketball female basketball star, has received nine years 453 00:27:02,840 --> 00:27:08,119 Speaker 1: in a Russian prison, and here she is saying she 454 00:27:08,280 --> 00:27:11,600 Speaker 1: spoke in court we have her talking about this that 455 00:27:11,640 --> 00:27:14,960 Speaker 1: she never meant to break any laws. This was today 456 00:27:15,280 --> 00:27:20,000 Speaker 1: in Moscow. I want to apologize to my parents, my sibling, 457 00:27:21,359 --> 00:27:25,639 Speaker 1: Phoenix American Organization back at home, the amazing women of 458 00:27:25,680 --> 00:27:29,440 Speaker 1: the dog NBA, and my amazing spouse back at home. 459 00:27:29,760 --> 00:27:32,960 Speaker 1: I've never meant to hurt anybody. I never meant to 460 00:27:33,520 --> 00:27:36,680 Speaker 1: put in jeopardy of the Russian population. I've never meant 461 00:27:36,760 --> 00:27:39,639 Speaker 1: to break any laws here. I made an honestly state 462 00:27:40,400 --> 00:27:44,679 Speaker 1: and I hope that in your ruling that it doesn't 463 00:27:44,800 --> 00:27:47,639 Speaker 1: end my life here. I know that everybody keeps talking 464 00:27:47,680 --> 00:27:53,000 Speaker 1: about political pawn and politics, but I hope that that 465 00:27:53,160 --> 00:27:56,480 Speaker 1: is far from this courtroom. I want to say again 466 00:27:56,520 --> 00:27:59,440 Speaker 1: that I had no intent on breaking any Russian laws 467 00:28:00,359 --> 00:28:08,480 Speaker 1: intense the time. So there you have. Obviously it's a 468 00:28:08,560 --> 00:28:11,280 Speaker 1: it's a tough, a tough moment in time there for 469 00:28:11,280 --> 00:28:16,160 Speaker 1: for Britney Griner facing nine years in a Russian prison. 470 00:28:16,240 --> 00:28:23,800 Speaker 1: Russian prisons are notoriously hellish places, and she is, as 471 00:28:23,800 --> 00:28:26,720 Speaker 1: she mentions, as I hope that the court isn't the 472 00:28:26,800 --> 00:28:30,719 Speaker 1: Russian court hasn't taken new account politics, and it's really 473 00:28:30,920 --> 00:28:33,720 Speaker 1: what mostly Russian courts are concerned with what is in 474 00:28:33,720 --> 00:28:35,639 Speaker 1: a case like this, What does the regime think? How 475 00:28:35,680 --> 00:28:39,880 Speaker 1: does this look? This is international relations being played out 476 00:28:40,800 --> 00:28:45,200 Speaker 1: through and and of course spite through international relations played 477 00:28:45,200 --> 00:28:48,880 Speaker 1: out through a in the arrest of an individual. Look, 478 00:28:48,920 --> 00:28:54,280 Speaker 1: she broke the law, but I think from what I 479 00:28:54,320 --> 00:28:58,320 Speaker 1: have seen, it wasn't you know, she didn't get caught 480 00:28:58,440 --> 00:29:02,760 Speaker 1: smuggling a few kila of marijuana into Russia or a 481 00:29:02,760 --> 00:29:05,720 Speaker 1: heroin or something really serious. It was a vape pen 482 00:29:05,880 --> 00:29:08,520 Speaker 1: with some cannabis oil in it. I mean, there are 483 00:29:09,560 --> 00:29:13,160 Speaker 1: trucks on the streets of New York City that are 484 00:29:13,280 --> 00:29:16,320 Speaker 1: selling I think they're selling edibles and aren't there. Yeah, 485 00:29:16,360 --> 00:29:18,680 Speaker 1: they're weed trucks driving around New York City I see 486 00:29:18,720 --> 00:29:21,520 Speaker 1: all the time. There are some states where marijuana sales 487 00:29:21,520 --> 00:29:24,000 Speaker 1: are entirely legal now and there obviously have been in 488 00:29:24,040 --> 00:29:27,040 Speaker 1: Europe for a long time, countries where it is entirely 489 00:29:27,120 --> 00:29:32,440 Speaker 1: decriminalized and even commercialized. So the fact that she's getting 490 00:29:32,480 --> 00:29:37,880 Speaker 1: nine years is unjust. We all know this. I don't 491 00:29:37,880 --> 00:29:39,480 Speaker 1: think she's going to serve nine years. I think she's 492 00:29:39,520 --> 00:29:44,600 Speaker 1: likely to get out sooner than this, hopefully very soon. 493 00:29:44,960 --> 00:29:49,520 Speaker 1: Along with Paul Whalen, who is a former US marine 494 00:29:49,560 --> 00:29:54,959 Speaker 1: who's also wrongfully detained in Russia. And this is one 495 00:29:54,960 --> 00:29:58,720 Speaker 1: of these moments. We gotta remember, folks, whatever the individual 496 00:29:59,120 --> 00:30:01,920 Speaker 1: in this case, whatever their politics may be, whoever they 497 00:30:02,040 --> 00:30:06,440 Speaker 1: voted for, these are our people. These are Americans, and 498 00:30:06,600 --> 00:30:09,480 Speaker 1: we want them back. Now. People would say, but what 499 00:30:09,520 --> 00:30:14,840 Speaker 1: if somebody did something, you know, horrible in a foreign country. 500 00:30:14,840 --> 00:30:17,160 Speaker 1: You know, if someone murders some in a foreign country, Yeah, 501 00:30:17,200 --> 00:30:19,560 Speaker 1: you are subject. The State Department always reminds people of 502 00:30:19,760 --> 00:30:22,160 Speaker 1: you are subject to the laws of that country when 503 00:30:22,200 --> 00:30:25,040 Speaker 1: you were in the country. I do think that there 504 00:30:25,080 --> 00:30:28,600 Speaker 1: are some Americans who get a little little lax about 505 00:30:28,640 --> 00:30:31,600 Speaker 1: this stuff and they forget, Oh, if I'm in a 506 00:30:31,640 --> 00:30:36,080 Speaker 1: place where the punishment is ex for doing why saying 507 00:30:36,240 --> 00:30:39,240 Speaker 1: Uncle Sam's got my back isn't necessarily going to do 508 00:30:39,400 --> 00:30:40,960 Speaker 1: very much for you. And in a case of a 509 00:30:40,960 --> 00:30:44,640 Speaker 1: country like Russia or China, it can work against you. 510 00:30:44,720 --> 00:30:47,320 Speaker 1: And that's what, at least right now, we're seeing in 511 00:30:47,320 --> 00:30:49,520 Speaker 1: the Grinder case. I think we've have obviously seen that 512 00:30:49,520 --> 00:30:51,880 Speaker 1: with Paul well On, the former marine detained there on 513 00:30:52,000 --> 00:30:55,960 Speaker 1: some ridiculous trumped up charges, and this is what they 514 00:30:55,960 --> 00:30:57,840 Speaker 1: this is what they do now. They want to get 515 00:30:57,920 --> 00:31:02,480 Speaker 1: Victor about Out, the arms trafficker who is best known, 516 00:31:02,480 --> 00:31:06,200 Speaker 1: as I've told you before, as the inspiration for the 517 00:31:06,280 --> 00:31:08,720 Speaker 1: Nicolas Cage character and Lord of War its base. It's 518 00:31:08,840 --> 00:31:13,360 Speaker 1: essentially a Hollywood Eyes version of Victor Bout's life is 519 00:31:13,360 --> 00:31:15,600 Speaker 1: what you see in the in the Nicholas Cage movie. 520 00:31:16,160 --> 00:31:19,040 Speaker 1: And the Russians won him back because he did a 521 00:31:19,040 --> 00:31:22,280 Speaker 1: lot of things that the Russian government liked, and he 522 00:31:22,320 --> 00:31:25,120 Speaker 1: worked with a lot of former Soviet military interests, got 523 00:31:25,160 --> 00:31:28,040 Speaker 1: a lot of connections there. So this seems to be 524 00:31:28,080 --> 00:31:32,200 Speaker 1: the trade that is likely to happen. But in a 525 00:31:32,560 --> 00:31:35,760 Speaker 1: broader sense, I do think what we are seeing and 526 00:31:36,040 --> 00:31:40,479 Speaker 1: this might be, This might take some time to sink in. 527 00:31:40,600 --> 00:31:46,120 Speaker 1: We are increasingly operating now in a multi polar world 528 00:31:46,600 --> 00:31:52,480 Speaker 1: where US hegemony isn't it isn't absolute, and in fact 529 00:31:52,640 --> 00:31:56,840 Speaker 1: is being challenged in very direct ways. The Russians are 530 00:31:56,880 --> 00:31:59,360 Speaker 1: holding Britney Grinder for nine years. I know they'd say, oh, 531 00:31:59,400 --> 00:32:02,680 Speaker 1: this is under their laws, please okay. In Russia, you 532 00:32:02,800 --> 00:32:05,160 Speaker 1: know the right you know, you know the right guy 533 00:32:05,240 --> 00:32:07,760 Speaker 1: in a tracksuit with a gold chain on. You know 534 00:32:08,000 --> 00:32:11,040 Speaker 1: you are if you're friends with cousin Jory and he's 535 00:32:11,040 --> 00:32:13,239 Speaker 1: connected to the Kremlin. You're good to go. You're not. 536 00:32:13,440 --> 00:32:16,880 Speaker 1: You're not serving a minute in prison even if you're 537 00:32:16,920 --> 00:32:19,959 Speaker 1: you know, if you whack somebody, Okay, so I have her. 538 00:32:20,000 --> 00:32:22,360 Speaker 1: Some conservatives start to say, well, if you do the crime, 539 00:32:22,400 --> 00:32:25,720 Speaker 1: you do the time. Let's let's all keep perspective on this. 540 00:32:26,520 --> 00:32:28,360 Speaker 1: A lot of things in Russia they let you go 541 00:32:28,480 --> 00:32:32,200 Speaker 1: for this is there's politics coming in into play here. 542 00:32:32,200 --> 00:32:34,080 Speaker 1: I mean, you know, nine years for a for a 543 00:32:34,200 --> 00:32:37,040 Speaker 1: vape pen with weed is extreme, all right, we all 544 00:32:37,040 --> 00:32:39,560 Speaker 1: know it's extreme. If the Russians, you know, if they'd 545 00:32:39,560 --> 00:32:45,200 Speaker 1: given her six months a year, you might say, oh, 546 00:32:45,320 --> 00:32:48,360 Speaker 1: I am sympathetic to this. Though in another sense too, 547 00:32:48,400 --> 00:32:51,800 Speaker 1: because how many of you have had a moment where 548 00:32:51,840 --> 00:32:54,080 Speaker 1: you now I know, I know, but how many of 549 00:32:54,120 --> 00:32:58,960 Speaker 1: you who spend time at the range or who either 550 00:32:59,080 --> 00:33:02,280 Speaker 1: carry edge weapons for defense or just people that train 551 00:33:02,360 --> 00:33:05,080 Speaker 1: with edge weapons. You're at the airport and your bags 552 00:33:05,120 --> 00:33:08,440 Speaker 1: going through the machine and you go, I didn't I didn't, 553 00:33:08,480 --> 00:33:12,760 Speaker 1: you know, leave a magazine that was from my range bag, right, 554 00:33:12,800 --> 00:33:15,640 Speaker 1: I mean, you know, just that kind of thing can happen. 555 00:33:16,360 --> 00:33:20,280 Speaker 1: If you look at the TSA statistics, people people end 556 00:33:20,360 --> 00:33:22,120 Speaker 1: up with like you know, oh yeah, I had a 557 00:33:22,120 --> 00:33:24,280 Speaker 1: battle axe in my baggage. I forgot about it. I mean, 558 00:33:24,280 --> 00:33:26,960 Speaker 1: you know, people of crazy stuff and try to bring 559 00:33:27,360 --> 00:33:31,760 Speaker 1: emotional support peacocks on the plane. That actually happened. That 560 00:33:31,920 --> 00:33:33,280 Speaker 1: was the beginning of the end. I think for the 561 00:33:33,280 --> 00:33:37,360 Speaker 1: emotional support animal charade that some people were doing. You know, oh, 562 00:33:37,440 --> 00:33:42,360 Speaker 1: here's my you know, emotional support pigmy hippopotamus. It's like, well, 563 00:33:43,240 --> 00:33:45,240 Speaker 1: first of all, have you ever seen the pigmy hippo 564 00:33:45,320 --> 00:33:48,240 Speaker 1: at the DC Zoo, one of my favorite amazing, amazing, 565 00:33:48,920 --> 00:33:50,600 Speaker 1: See this is what happens startin thing? Well could I 566 00:33:50,640 --> 00:33:54,400 Speaker 1: Apparently they're you know, endangered or threatened species, so having 567 00:33:54,400 --> 00:33:56,440 Speaker 1: one as a pet would probably not fly. But they 568 00:33:56,440 --> 00:34:01,000 Speaker 1: are very cute. But back to the airport situation, I 569 00:34:01,040 --> 00:34:04,360 Speaker 1: think it's easy for it's easy for people lose sight 570 00:34:04,400 --> 00:34:08,120 Speaker 1: of how much this is now in the realm of 571 00:34:09,120 --> 00:34:15,640 Speaker 1: the great game international statesmanship and intrigue between Vladimir Putin 572 00:34:15,680 --> 00:34:18,440 Speaker 1: and Joe Biden. And I do firmly believe that if 573 00:34:18,440 --> 00:34:21,160 Speaker 1: Donald Trump were in charge, Putin would have a different 574 00:34:21,160 --> 00:34:24,400 Speaker 1: feeling about this. I think as much as Putin thought 575 00:34:24,440 --> 00:34:26,440 Speaker 1: of Trump, as I know the media was saying, oh, 576 00:34:26,480 --> 00:34:28,680 Speaker 1: Putin Trump love each other. They have a romance, and 577 00:34:28,840 --> 00:34:32,560 Speaker 1: that's all crap. I do think that Putin, as a 578 00:34:32,560 --> 00:34:38,080 Speaker 1: bad guy, had a respect for Donald Trump that he 579 00:34:38,160 --> 00:34:40,360 Speaker 1: simply does not have for Joe Biden. I think he 580 00:34:40,400 --> 00:34:43,879 Speaker 1: thinks Joe Biden is an income poop and should be, 581 00:34:44,520 --> 00:34:48,960 Speaker 1: you know, breaking up breadcrumbs to feed to the pigeons somewhere. 582 00:34:49,000 --> 00:34:51,120 Speaker 1: I mean, I think that they really don't. I think 583 00:34:51,120 --> 00:34:53,040 Speaker 1: that Putin has no respect at all for Joe Biden, 584 00:34:53,200 --> 00:34:56,520 Speaker 1: and that stuff matters. In Russia, a phone call from 585 00:34:56,600 --> 00:35:01,000 Speaker 1: Vladimir Putin releases Brittany Griner same day. It's all it 586 00:35:01,040 --> 00:35:04,120 Speaker 1: takes people. You know, in this country, there's some process, 587 00:35:04,239 --> 00:35:06,479 Speaker 1: right although there's obviously the pardon power from the present. 588 00:35:06,520 --> 00:35:08,920 Speaker 1: But even for the pardon power, there's supposed to be. 589 00:35:09,719 --> 00:35:11,560 Speaker 1: Trump did pardon one or two people with a tweet, 590 00:35:11,600 --> 00:35:14,160 Speaker 1: but usually there's some process and it goes through White 591 00:35:14,160 --> 00:35:17,880 Speaker 1: House Council. In Russia, it's just let her out, and 592 00:35:18,000 --> 00:35:19,600 Speaker 1: Putin could do that with a phone call. We all 593 00:35:19,640 --> 00:35:23,000 Speaker 1: know that. So it is different, and I think it's 594 00:35:23,040 --> 00:35:25,560 Speaker 1: a It's a reminder for so many Democrats who are 595 00:35:25,600 --> 00:35:30,439 Speaker 1: fed a diet of delusion by the media. Around all 596 00:35:30,480 --> 00:35:34,239 Speaker 1: things Russia and Trump. That we are less safe when 597 00:35:34,239 --> 00:35:36,800 Speaker 1: we have a commander in chief who does not seem 598 00:35:36,880 --> 00:35:40,680 Speaker 1: with it, who is not formidable, does not have vision, 599 00:35:41,200 --> 00:35:45,439 Speaker 1: and is not respected. We just are We are less 600 00:35:45,480 --> 00:35:47,680 Speaker 1: safe as a people all of the world, every country 601 00:35:47,680 --> 00:35:53,120 Speaker 1: you're going to, there are is far less concerned now 602 00:35:53,200 --> 00:35:57,680 Speaker 1: from opposition regimes like Russia and China, far less concern 603 00:35:57,719 --> 00:36:01,200 Speaker 1: about getting a call from a Joe Biden State Department 604 00:36:01,200 --> 00:36:03,399 Speaker 1: official than there would have been from the Trump White House. 605 00:36:03,560 --> 00:36:05,080 Speaker 1: I think we all know that. I think even the 606 00:36:05,160 --> 00:36:08,279 Speaker 1: Libs know that. Britney Griner in her letter seemed to 607 00:36:08,280 --> 00:36:12,160 Speaker 1: express that and that disappointment in the Biden administration at 608 00:36:12,200 --> 00:36:15,240 Speaker 1: this point. So you know, we do need to remember 609 00:36:15,280 --> 00:36:19,200 Speaker 1: that Americans are our people and we want them back. 610 00:36:19,239 --> 00:36:22,240 Speaker 1: We want them not to be used as political pawns 611 00:36:22,239 --> 00:36:26,600 Speaker 1: in this way abroad and serving some really draconian sentence. 612 00:36:26,680 --> 00:36:32,120 Speaker 1: So hopefully Biden brings Paul whalenback, Hopefully Biden brings Britney 613 00:36:32,160 --> 00:36:36,520 Speaker 1: Grinder back. But China and Russia are feeling a whole 614 00:36:36,520 --> 00:36:39,919 Speaker 1: lot more free to throw their weight around at our 615 00:36:40,040 --> 00:36:43,360 Speaker 1: expense as a nation and at the perception of American 616 00:36:43,480 --> 00:36:47,080 Speaker 1: prestige and power than they have in years. And I 617 00:36:47,120 --> 00:36:49,960 Speaker 1: think we all know why what have you done for 618 00:36:49,960 --> 00:36:52,400 Speaker 1: yourself this year to protect the value of your savings 619 00:36:52,440 --> 00:36:56,280 Speaker 1: account given the crazy markets and all the inflation we're seeing. 620 00:36:56,480 --> 00:36:58,759 Speaker 1: I mean, inflation was up more than nine percent this year, 621 00:36:59,040 --> 00:37:02,120 Speaker 1: So the dollars you've saved aren't now worth that much less. 622 00:37:02,440 --> 00:37:04,560 Speaker 1: If you leave all of your savings in cash, that's 623 00:37:04,680 --> 00:37:07,080 Speaker 1: not a good plan. If you invest in the stock market, 624 00:37:07,239 --> 00:37:09,480 Speaker 1: you can see some real turbulence and take some serious 625 00:37:09,480 --> 00:37:12,319 Speaker 1: losses crypto, I mean, what a roll of the dice 626 00:37:12,440 --> 00:37:15,480 Speaker 1: that is. Yes, in real estate, you gotta ask yourself, 627 00:37:15,560 --> 00:37:18,439 Speaker 1: is that market gonna collapse sometime soon? Because it's looking 628 00:37:18,480 --> 00:37:22,640 Speaker 1: pretty pretty rough. But gold, real gold has been proven 629 00:37:22,680 --> 00:37:26,920 Speaker 1: over the course of time to stay solid, consistent, and 630 00:37:27,080 --> 00:37:31,799 Speaker 1: reliably valued. Call the Oxford Gold Group today request your 631 00:37:31,800 --> 00:37:34,600 Speaker 1: free Precious Metals Investment Guide toll free at eight three 632 00:37:34,719 --> 00:37:38,400 Speaker 1: three four zero four Gold. The Oxford Gold Group is 633 00:37:38,440 --> 00:37:40,440 Speaker 1: who I trust. It's who I've done business with in 634 00:37:40,480 --> 00:37:43,640 Speaker 1: my own acquisitions of gold stretching back now for years. 635 00:37:43,680 --> 00:37:45,520 Speaker 1: Oxford Gold Group is who I go to. It's who 636 00:37:45,560 --> 00:37:48,440 Speaker 1: I call my gold story and my gold stores are 637 00:37:48,440 --> 00:37:51,319 Speaker 1: from the Oxford Gold Group. Give them a call now. 638 00:37:51,440 --> 00:37:54,120 Speaker 1: They'll talk to you about what you're looking to spend. 639 00:37:54,160 --> 00:37:56,400 Speaker 1: What's your portfolio size, what are you comfortable with, What 640 00:37:56,440 --> 00:37:59,600 Speaker 1: does a smart level of diversification look like for you 641 00:38:00,040 --> 00:38:03,040 Speaker 1: in this turbulent time. Because they want long term customers, 642 00:38:03,320 --> 00:38:06,399 Speaker 1: people that know they want to grow their gold holdings 643 00:38:06,440 --> 00:38:09,480 Speaker 1: over years. Give them a call. Eight three three four 644 00:38:09,600 --> 00:38:12,800 Speaker 1: zero four Gold eight three three four zero four g 645 00:38:13,120 --> 00:38:18,880 Speaker 1: o LB. Welcome back to play Travis and Buck Sexton Show. 646 00:38:19,680 --> 00:38:22,839 Speaker 1: Got word in from our main man, Clay, co host 647 00:38:22,840 --> 00:38:25,560 Speaker 1: of this phenomenal program. He is having a great time. 648 00:38:25,719 --> 00:38:28,320 Speaker 1: He's on the golf course with one of his boys 649 00:38:28,920 --> 00:38:32,840 Speaker 1: and he says he is, you know, big Hit or 650 00:38:32,840 --> 00:38:36,399 Speaker 1: the Llama. He's doing very well and enjoying himself. And yeah, 651 00:38:36,440 --> 00:38:41,640 Speaker 1: I'll be back with us on Monday. Biggest box office bombs. 652 00:38:41,840 --> 00:38:46,560 Speaker 1: Fun topic of conversation, especially right now giving what we 653 00:38:46,640 --> 00:38:50,560 Speaker 1: have just seen here with this Batman movie. In case 654 00:38:50,640 --> 00:38:53,359 Speaker 1: you were wondering and we got to find a way 655 00:38:53,400 --> 00:38:56,960 Speaker 1: to see this thing, I mean, somebody has to find 656 00:38:57,000 --> 00:39:02,680 Speaker 1: the means to get this into the public domain so 657 00:39:02,760 --> 00:39:08,000 Speaker 1: that we will be able to watch this Batman movie. 658 00:39:09,040 --> 00:39:18,160 Speaker 1: They spent ninety million dollars on a bat Girl film, 659 00:39:18,280 --> 00:39:24,160 Speaker 1: ninety million dollars that they just bailed on entirely. Think 660 00:39:24,160 --> 00:39:26,600 Speaker 1: about this, that's a lot of money, right, I mean, 661 00:39:26,600 --> 00:39:28,040 Speaker 1: I think we could all agree that's that's a lot 662 00:39:28,080 --> 00:39:31,440 Speaker 1: of cash to lay out for something and there's nothing 663 00:39:31,640 --> 00:39:36,800 Speaker 1: coming out of it. Morner Brothers executives have said, Well, 664 00:39:36,840 --> 00:39:38,239 Speaker 1: what they're saying is I am proud of the love 665 00:39:38,280 --> 00:39:40,360 Speaker 1: of hard work and intention of all of our incredible 666 00:39:40,360 --> 00:39:43,080 Speaker 1: cast and career. YadA, YadA, YadA. Yeah, this thing was 667 00:39:43,400 --> 00:39:48,040 Speaker 1: a stinker, obviously, Man, I wish I could see this. 668 00:39:48,880 --> 00:39:53,840 Speaker 1: It was going to be the first ever female Latina 669 00:39:54,040 --> 00:40:00,160 Speaker 1: big budget superhero film, I think is what they were, 670 00:40:00,320 --> 00:40:03,959 Speaker 1: or maybe just the first female Latina bat Batman, bat Girl, 671 00:40:04,480 --> 00:40:08,840 Speaker 1: bat person. As the case, maybe this was gonna be 672 00:40:08,880 --> 00:40:11,800 Speaker 1: the first time that they had done this. So as 673 00:40:11,840 --> 00:40:14,719 Speaker 1: we keep talking about, as we keep telling you, there 674 00:40:14,880 --> 00:40:20,719 Speaker 1: is this wokeness, There is this wokeness desire that pushes 675 00:40:21,520 --> 00:40:25,600 Speaker 1: a lot of the decision making for things like this, 676 00:40:25,680 --> 00:40:27,799 Speaker 1: what gets green led as a project and that it's 677 00:40:27,840 --> 00:40:30,280 Speaker 1: not just about the bottom line, folks. There are there's 678 00:40:30,360 --> 00:40:33,640 Speaker 1: ideology behind this, but there's also fear if you're a 679 00:40:33,640 --> 00:40:37,719 Speaker 1: Warner Brothers executive, if you're a Netflix or Amazon Prime, 680 00:40:37,800 --> 00:40:39,840 Speaker 1: or if you're an executive at any of these places 681 00:40:39,880 --> 00:40:46,120 Speaker 1: that are green lighting massive creative projects, and you are 682 00:40:46,560 --> 00:40:54,040 Speaker 1: insufficiently woke as in pushing the transagenda, as in dramatically 683 00:40:54,320 --> 00:40:59,640 Speaker 1: increasing visual diversity on the screen of you know, actors 684 00:40:59,719 --> 00:41:04,040 Speaker 1: who are actors from the BIPOC community. So you need 685 00:41:04,080 --> 00:41:09,520 Speaker 1: the BIPOC community, you need the lgbtq I A plus 686 00:41:09,600 --> 00:41:16,440 Speaker 1: community to be dramatically represented, overrepresented in your projects, or 687 00:41:16,440 --> 00:41:19,120 Speaker 1: else you get fired. And I'll tell you a lot 688 00:41:19,160 --> 00:41:20,960 Speaker 1: of these things, a lot of these media jobs people have, 689 00:41:21,040 --> 00:41:23,840 Speaker 1: especially on the executive side. Man, you get all this 690 00:41:23,960 --> 00:41:26,799 Speaker 1: great pay. It's a hard job to get. It's a 691 00:41:26,800 --> 00:41:31,680 Speaker 1: great job to have millions of dollars stock options. You're important, 692 00:41:31,680 --> 00:41:34,080 Speaker 1: you're powerful. People suck up to you all the time. 693 00:41:34,120 --> 00:41:36,560 Speaker 1: They don't want to lose those jobs. So there's the 694 00:41:36,600 --> 00:41:38,400 Speaker 1: people that want to do it because they really believe 695 00:41:38,440 --> 00:41:40,319 Speaker 1: in it, and then there are the people that go 696 00:41:40,360 --> 00:41:43,080 Speaker 1: along with it or that push it because you know, 697 00:41:43,120 --> 00:41:45,920 Speaker 1: they just want to keep the house in Malibu and 698 00:41:45,960 --> 00:41:48,560 Speaker 1: the Hampton's and the ski place and Aspen and you know, 699 00:41:48,760 --> 00:41:51,520 Speaker 1: all that stuff, right, So that's how you get to 700 00:41:51,800 --> 00:41:54,799 Speaker 1: a I mean, I can't review it because they're just 701 00:41:54,880 --> 00:41:59,440 Speaker 1: deep sixing. They're just they're they're dropping the original of 702 00:41:59,480 --> 00:42:04,000 Speaker 1: this film in the bottom of Davy Jones's locker right there. 703 00:42:04,000 --> 00:42:05,719 Speaker 1: They're gonna take it out in the ocean and just 704 00:42:05,800 --> 00:42:08,960 Speaker 1: drop the tapes, so to speak. They were gonna act 705 00:42:09,000 --> 00:42:11,360 Speaker 1: like this never happened. That is amazing. This is the 706 00:42:11,480 --> 00:42:16,200 Speaker 1: biggest swinging a miss on a movie entirely miss right. 707 00:42:16,239 --> 00:42:19,040 Speaker 1: It's not just a box office bombs, or when they 708 00:42:19,040 --> 00:42:21,840 Speaker 1: spend a lot of money and they and they lose 709 00:42:21,880 --> 00:42:24,359 Speaker 1: a ton of money, that's a box office bomb. This 710 00:42:24,440 --> 00:42:28,360 Speaker 1: is something else. This is more like a box office 711 00:42:28,440 --> 00:42:32,439 Speaker 1: reactor meltdown. It's like never even never even got out 712 00:42:33,200 --> 00:42:36,839 Speaker 1: to be deployed. This is something else. So I wish 713 00:42:36,880 --> 00:42:39,040 Speaker 1: I could see it. And I'm sure at some point 714 00:42:39,120 --> 00:42:41,160 Speaker 1: someone's gonna find a way to get this thing out. 715 00:42:41,160 --> 00:42:45,160 Speaker 1: They got this movie, this Batgirl movie out there so 716 00:42:45,239 --> 00:42:46,840 Speaker 1: that we can all watch and check it out. But 717 00:42:46,880 --> 00:42:49,200 Speaker 1: I was looking at this now, this is just there's 718 00:42:49,239 --> 00:42:53,640 Speaker 1: different ways that calculate this. This is off of just 719 00:42:53,680 --> 00:42:56,680 Speaker 1: the Wikipedia list. Now, Wikipedia has got a lot of politicization, 720 00:42:56,760 --> 00:42:59,440 Speaker 1: and you can't trust everything in Wikipedia. I think on 721 00:42:59,600 --> 00:43:04,600 Speaker 1: this on box office bombs is probably pretty straightforward. But 722 00:43:04,640 --> 00:43:06,319 Speaker 1: this was the first list that came up, and I 723 00:43:06,360 --> 00:43:08,480 Speaker 1: was just looking to see some of these. I gotta 724 00:43:08,520 --> 00:43:12,680 Speaker 1: tell you, I was pretty bummed that on this list 725 00:43:12,719 --> 00:43:17,880 Speaker 1: you have The Thirteenth Warrior with Antonio Banderis, which is 726 00:43:18,000 --> 00:43:21,520 Speaker 1: I believe loosely based on Eaters of the Dead by 727 00:43:21,560 --> 00:43:24,200 Speaker 1: Michael Crichton. I could be wrong on that one, but 728 00:43:24,280 --> 00:43:28,399 Speaker 1: I saw The Thirteenth Warrior. It's not good, don't get 729 00:43:28,440 --> 00:43:30,799 Speaker 1: me wrong, but it's not that bad as a movie 730 00:43:30,800 --> 00:43:35,279 Speaker 1: from nineteen ninety nine. Antonio Banderis is also playing an 731 00:43:35,280 --> 00:43:39,400 Speaker 1: Arab guy, which I feel like there's less of that 732 00:43:39,520 --> 00:43:43,040 Speaker 1: these days. I remember I was I'm being serious. In 733 00:43:43,120 --> 00:43:46,120 Speaker 1: high school, we had a film study module that wasn't 734 00:43:46,120 --> 00:43:47,480 Speaker 1: really a full course, so I think they called it 735 00:43:47,480 --> 00:43:49,480 Speaker 1: a module or something like that, so it was like 736 00:43:49,520 --> 00:43:51,640 Speaker 1: a half we'd have once a week for an hour 737 00:43:51,680 --> 00:43:53,560 Speaker 1: or something. We had a film course and we saw 738 00:43:53,680 --> 00:43:58,240 Speaker 1: Rambo First Blood Part two and the professor pointed out 739 00:43:58,320 --> 00:44:03,000 Speaker 1: that the a large number this is what he told us, 740 00:44:03,000 --> 00:44:05,239 Speaker 1: at least the film professor, A large number of the 741 00:44:05,440 --> 00:44:11,080 Speaker 1: extras in that movie, supposedly in Vietnam were of the 742 00:44:11,160 --> 00:44:15,919 Speaker 1: Latin X community, so they were miscasting people, which now 743 00:44:16,000 --> 00:44:17,960 Speaker 1: you're not you're not allowed. You know, you won't get 744 00:44:17,960 --> 00:44:20,719 Speaker 1: away with that the same way that it used to 745 00:44:20,719 --> 00:44:24,440 Speaker 1: be considered. Okay, remember the early days of theaters there. 746 00:44:24,440 --> 00:44:28,120 Speaker 1: Everything has changed so much. Let me see forty seven Ronin. 747 00:44:28,280 --> 00:44:34,400 Speaker 1: Never saw that one. That movie, Thirteenth Warrior lost close 748 00:44:34,440 --> 00:44:37,240 Speaker 1: to one hundred one hundred million dollars adjusted for inflation 749 00:44:37,400 --> 00:44:39,800 Speaker 1: is one hundred million dollars loss. So this Batgirl ninety 750 00:44:39,800 --> 00:44:42,560 Speaker 1: million dollars loss is one of the biggest film losses 751 00:44:42,600 --> 00:44:46,080 Speaker 1: of all time. And remember never even got released, right, 752 00:44:46,120 --> 00:44:48,880 Speaker 1: so it grossed. It's getting a zero gross and a 753 00:44:48,960 --> 00:44:52,879 Speaker 1: ninety million dollar budget. Forty seven Ronin. I don't did 754 00:44:52,920 --> 00:44:54,799 Speaker 1: any of you guys? I didn't even know what that 755 00:44:55,440 --> 00:44:57,600 Speaker 1: did you? Any of you see that or no other? No? 756 00:44:58,200 --> 00:45:01,040 Speaker 1: Ronin is a good Yeah, Ronan is a good movie. 757 00:45:01,040 --> 00:45:03,520 Speaker 1: You've heard of it? Okay, Rohan's a good movie. I 758 00:45:03,560 --> 00:45:08,600 Speaker 1: think there's is it twenty nine assassins? Mike? Would you 759 00:45:09,120 --> 00:45:11,279 Speaker 1: check from me a producer? Ali, there's a movie like 760 00:45:11,400 --> 00:45:14,439 Speaker 1: nineteen Assassins or twenty nine Assassins. It's a ninja movie, 761 00:45:14,719 --> 00:45:18,719 Speaker 1: Samurai sort of ninja movie that is subtitled I'm gonna 762 00:45:18,760 --> 00:45:23,200 Speaker 1: tell you right now, what's it called. Thirteen is right. 763 00:45:23,320 --> 00:45:28,160 Speaker 1: So there's the Thirteenth Warrior, which is terrible. I mean, 764 00:45:28,200 --> 00:45:32,080 Speaker 1: I kind of I look comin Antonio Banderis fans. I'm 765 00:45:32,080 --> 00:45:34,680 Speaker 1: a little bit shaky on how much, but it's not 766 00:45:34,719 --> 00:45:40,440 Speaker 1: a good movie. Thirteen Assassins is awesome. Thirteen Assassins is 767 00:45:40,480 --> 00:45:46,919 Speaker 1: like is like in seven Samurai category of phenomenal film telling. 768 00:45:46,920 --> 00:45:49,000 Speaker 1: Your producer, Mike added to the list. I mean, first 769 00:45:49,000 --> 00:45:51,160 Speaker 1: The Last Kingdom on Netflix, but then check out thirteen 770 00:45:51,160 --> 00:45:55,560 Speaker 1: assassin other ones on here. The Adventures of Pluto Nash. 771 00:45:55,560 --> 00:45:58,319 Speaker 1: This is two thousand and two that lost, what's the 772 00:45:59,280 --> 00:46:01,319 Speaker 1: that lost? One hundred? Oh these aren't in order of 773 00:46:01,320 --> 00:46:04,160 Speaker 1: the biggest laws, so thirteen oh no, they they kind 774 00:46:04,200 --> 00:46:10,160 Speaker 1: of are inventors of Pluto Nash with that had Eddie Murphy, Right, Yeah, 775 00:46:10,280 --> 00:46:12,320 Speaker 1: that's one of those movies where you saw the trailer. 776 00:46:12,400 --> 00:46:13,920 Speaker 1: I saw the trailer for the movie Theater. I was like, 777 00:46:14,040 --> 00:46:16,319 Speaker 1: that looks like the worst movie ever made, And I 778 00:46:16,480 --> 00:46:19,920 Speaker 1: was right, that's up there. Send us in by the 779 00:46:20,000 --> 00:46:23,560 Speaker 1: mcclanbuck dot com. Please subscribe. Become a subscriber, and then 780 00:46:23,560 --> 00:46:25,960 Speaker 1: you can send us direct emails. We'll see it. What 781 00:46:26,200 --> 00:46:30,600 Speaker 1: is for you the worst box office bomb of all time? 782 00:46:30,680 --> 00:46:33,480 Speaker 1: Now that's not the worst movie of all time, that's 783 00:46:33,480 --> 00:46:36,520 Speaker 1: a whole other conversation. But the worst box office bomb 784 00:46:36,560 --> 00:46:40,200 Speaker 1: meaning a movie that sucked and lost so much money 785 00:46:40,239 --> 00:46:43,160 Speaker 1: that you consider it the biggest bomb ever. I mean 786 00:46:43,160 --> 00:46:47,440 Speaker 1: there's a lot, a lot on this list. Battleship Believe 787 00:46:47,480 --> 00:46:49,120 Speaker 1: it or Not is on here, which I know some 788 00:46:49,160 --> 00:46:51,319 Speaker 1: people kind of like I thought the movie. I was like, wait, 789 00:46:51,360 --> 00:46:54,080 Speaker 1: there's just aliens, no explanation, and now the battleships are 790 00:46:54,719 --> 00:46:57,759 Speaker 1: it's it's almost though so bad, it's good and so 791 00:46:57,760 --> 00:47:02,000 Speaker 1: bad it's good territory. G Oh wow, Julie lost one 792 00:47:02,080 --> 00:47:05,719 Speaker 1: hundred and six million dollars when adjusted for inflation. That 793 00:47:05,880 --> 00:47:09,319 Speaker 1: it's hard to make a movie that has basically no 794 00:47:09,440 --> 00:47:14,080 Speaker 1: special effects and lose that much money. The only movie 795 00:47:14,120 --> 00:47:16,799 Speaker 1: this is always I always thought this was interesting. Cutthroat 796 00:47:16,880 --> 00:47:21,960 Speaker 1: Island Still Goes Down, which had what's that guy's name? 797 00:47:22,000 --> 00:47:25,120 Speaker 1: I can't remember, isn't it yeah? Had Gina Davis correct? 798 00:47:25,400 --> 00:47:28,120 Speaker 1: Cutthroat Island is the only movie still to this day 799 00:47:28,160 --> 00:47:33,680 Speaker 1: in history that has the has the special distinction of 800 00:47:33,800 --> 00:47:37,000 Speaker 1: causing the actual shutdown of the entire studio. Like it 801 00:47:37,080 --> 00:47:40,480 Speaker 1: was so bad that not only did it bomb, but 802 00:47:40,600 --> 00:47:42,560 Speaker 1: it put a big hole in the middle of the ship, 803 00:47:42,640 --> 00:47:45,000 Speaker 1: and the whole pirate ship went down with it. The 804 00:47:45,000 --> 00:47:50,799 Speaker 1: whole studio that made that movie was gone afterwards. Well, 805 00:47:50,840 --> 00:47:52,400 Speaker 1: there's a lot, there's a lot on this lad I'm 806 00:47:52,440 --> 00:47:53,839 Speaker 1: trying to think of some of the ones that I've 807 00:47:53,880 --> 00:47:57,120 Speaker 1: seen or that are It is incredible how many movies 808 00:47:57,120 --> 00:47:59,320 Speaker 1: they've made that have lost one hundred million dollars. It 809 00:47:59,360 --> 00:48:03,120 Speaker 1: does give you a sense ishtar. Now that's kicking at 810 00:48:03,160 --> 00:48:05,200 Speaker 1: old school, but some of you remember, this is nineteen 811 00:48:05,320 --> 00:48:10,719 Speaker 1: eighty seven and it lost. It lost, adjusted for inflation, 812 00:48:11,480 --> 00:48:16,000 Speaker 1: one hundred million dollars. An adventure comedy produced by Warren 813 00:48:16,080 --> 00:48:21,680 Speaker 1: Beatty co star Dustin Hoffman, a duo of untalented songwriters 814 00:48:21,719 --> 00:48:25,239 Speaker 1: who traveled to a booking in Morocco. One of the 815 00:48:25,239 --> 00:48:28,680 Speaker 1: worst movies of all time in terms of loss. Wow, 816 00:48:28,680 --> 00:48:31,000 Speaker 1: there's some really some amazingents on here. So anyway, this 817 00:48:31,120 --> 00:48:32,799 Speaker 1: goes right at the top, though, I mean, this is 818 00:48:32,840 --> 00:48:36,200 Speaker 1: among the biggest losses of all time. Moral of the story, 819 00:48:36,280 --> 00:48:41,399 Speaker 1: my friends, wokeness. It doesn't pay, It really doesn't. Just 820 00:48:41,440 --> 00:48:44,000 Speaker 1: give it. On a long enough timeline, the wokeness will 821 00:48:44,040 --> 00:48:47,360 Speaker 1: get you. We've got a fair number of people listening 822 00:48:47,360 --> 00:48:49,600 Speaker 1: to us across the country that make their living as farmers, 823 00:48:50,120 --> 00:48:53,600 Speaker 1: few jobs, few careers, few lifestyles, or as rewarding and 824 00:48:53,640 --> 00:48:55,600 Speaker 1: at the same time as difficult as being a farmer 825 00:48:55,640 --> 00:49:00,440 Speaker 1: these days, between the weather and this conversation about fertilizer shortages, 826 00:49:00,480 --> 00:49:02,479 Speaker 1: it's all going to influence the amount of food coming 827 00:49:02,520 --> 00:49:05,840 Speaker 1: from farms in America, and it may seriously affect harvests 828 00:49:05,840 --> 00:49:08,440 Speaker 1: in the future. They will likely be a lot smaller 829 00:49:08,560 --> 00:49:10,759 Speaker 1: because of these fertilizers shortages. Is also going to be 830 00:49:10,760 --> 00:49:13,640 Speaker 1: a lot more expensive. 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