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 --> 00:00:06,480 Speaker 1: Sexton Show podcast. The third hour of The Clay in 3 00:00:06,600 --> 00:00:10,400 Speaker 1: Buck Show is underway right now, everybody, Thanks for rolling 4 00:00:10,480 --> 00:00:13,400 Speaker 1: with eight two two two eight eight two. If you 5 00:00:13,440 --> 00:00:16,880 Speaker 1: want to chat with me, ask Buck anything this out, well, 6 00:00:16,960 --> 00:00:21,120 Speaker 1: not anything, but you know, within reason, and I'll address 7 00:00:21,160 --> 00:00:24,799 Speaker 1: it as best as I can. And I had told 8 00:00:24,800 --> 00:00:27,800 Speaker 1: you I would get into this the issue here of 9 00:00:28,480 --> 00:00:33,920 Speaker 1: crime and policing because I have not seen the kinds 10 00:00:33,960 --> 00:00:38,520 Speaker 1: of changes that we should see at this point, given 11 00:00:38,520 --> 00:00:42,640 Speaker 1: what has happened nationally and in major cities with regard 12 00:00:42,680 --> 00:00:46,960 Speaker 1: to major crimes, and the issues are pertaining to law enforcement. 13 00:00:47,720 --> 00:00:50,400 Speaker 1: And you may have seen this is getting a lot 14 00:00:50,440 --> 00:00:53,760 Speaker 1: of tension because it's on video now with these ring cameras. 15 00:00:53,800 --> 00:00:56,760 Speaker 1: I mean there's cameras everywhere these days. We all carry cameras. 16 00:00:57,720 --> 00:01:00,120 Speaker 1: It is interesting to me that we are in a 17 00:01:00,240 --> 00:01:06,280 Speaker 1: virtual surveillance state already. There's video of stuff going on 18 00:01:06,440 --> 00:01:09,160 Speaker 1: all over the place all the time. We all carry 19 00:01:09,240 --> 00:01:12,120 Speaker 1: cameras on us. We have instant connectivity, instant ability to 20 00:01:12,120 --> 00:01:15,640 Speaker 1: call the police, and there's more cameras now than there 21 00:01:15,640 --> 00:01:18,560 Speaker 1: has ever been in the history of the world. So 22 00:01:18,640 --> 00:01:20,480 Speaker 1: you would think that it would be a lot easier 23 00:01:20,520 --> 00:01:24,240 Speaker 1: to bring down crime. Right when you add the technological 24 00:01:24,240 --> 00:01:26,479 Speaker 1: component into this, think think about what it was like 25 00:01:26,640 --> 00:01:31,120 Speaker 1: I had mentioned. I had mentioned, say, the Death Wish 26 00:01:31,160 --> 00:01:33,240 Speaker 1: movies with Charles Bronson on the show I think a 27 00:01:33,280 --> 00:01:38,200 Speaker 1: few weeks back, and not my favorite action films by 28 00:01:38,200 --> 00:01:41,480 Speaker 1: a long shot. I mean, they're okay, but they really 29 00:01:41,640 --> 00:01:44,360 Speaker 1: captured the psyche of the moment because people felt like 30 00:01:44,440 --> 00:01:47,760 Speaker 1: in cities they were constantly unsafe, and they were, and 31 00:01:47,760 --> 00:01:51,200 Speaker 1: the numbers showed that in places like New York in 32 00:01:51,280 --> 00:01:53,720 Speaker 1: the seventies, really all the way through into the late nineties. 33 00:01:54,560 --> 00:01:57,840 Speaker 1: But if you saw a crime happen, you would have 34 00:01:58,000 --> 00:02:00,880 Speaker 1: to find a way. First of all, you weren't able 35 00:02:00,920 --> 00:02:04,840 Speaker 1: to video it. There wasn't likely to be any actual 36 00:02:04,920 --> 00:02:08,600 Speaker 1: video of the event unless maybe or a a you know, 37 00:02:08,680 --> 00:02:11,799 Speaker 1: a convenience store or some location that for security reasons 38 00:02:11,840 --> 00:02:14,040 Speaker 1: had installed the camera. Now their cameras all over the place, 39 00:02:14,520 --> 00:02:15,920 Speaker 1: but you would have had to run in the pre 40 00:02:16,000 --> 00:02:18,840 Speaker 1: cell phone era, I guess find a pay phone dial 41 00:02:18,919 --> 00:02:21,960 Speaker 1: nine one one. Technology should have made a lot of 42 00:02:21,960 --> 00:02:23,600 Speaker 1: this and has made I would argue a lot of 43 00:02:23,639 --> 00:02:28,800 Speaker 1: this much easier. Yet we still see places, notably like Chicago, 44 00:02:29,639 --> 00:02:34,560 Speaker 1: where the crime situation is something that they can't They 45 00:02:34,600 --> 00:02:37,920 Speaker 1: just cannot get it under control, even though we have 46 00:02:38,040 --> 00:02:42,320 Speaker 1: better comms, better they have better analysis and technology and 47 00:02:42,360 --> 00:02:48,080 Speaker 1: tracking than ever before. There's this video of a robbery 48 00:02:48,120 --> 00:02:52,720 Speaker 1: victim named Diana da Jacomo in Chicago and she hears 49 00:02:52,760 --> 00:02:55,040 Speaker 1: she describes what you might have seen. This video was 50 00:02:55,120 --> 00:02:58,440 Speaker 1: up on Fox. We can put it up on clayinbuck 51 00:02:58,520 --> 00:03:02,840 Speaker 1: dot com. Just broad daylight, woman walking her dog. Some 52 00:03:03,000 --> 00:03:04,960 Speaker 1: guy just gets out of his car, runs up to her, 53 00:03:05,240 --> 00:03:08,000 Speaker 1: sticks a gun in her face. Here's what she says. 54 00:03:08,000 --> 00:03:09,880 Speaker 1: Happened to play it too, having a gun shoved like 55 00:03:10,080 --> 00:03:13,359 Speaker 1: right here, and he's holding it sideways like this. Then 56 00:03:13,400 --> 00:03:15,920 Speaker 1: when he pointed at the dog, I was like, okay, 57 00:03:15,960 --> 00:03:18,359 Speaker 1: just whatever you want to take it. He just grabbed 58 00:03:18,360 --> 00:03:21,280 Speaker 1: my person ran and I just thought, okay, I just 59 00:03:22,040 --> 00:03:27,000 Speaker 1: got away with my life and my dog's life. Think 60 00:03:27,040 --> 00:03:29,959 Speaker 1: about the mentality of this individual. You're running up to 61 00:03:30,000 --> 00:03:33,920 Speaker 1: someone's grandmother pointing a loaded weapon at her, threatening to 62 00:03:34,000 --> 00:03:38,080 Speaker 1: murder her, and also point a weapon just for the 63 00:03:38,160 --> 00:03:42,960 Speaker 1: additional emotional impact of this woman who is facing possible 64 00:03:42,960 --> 00:03:46,200 Speaker 1: execution in broad daylight. This is in the Lincoln Park 65 00:03:46,240 --> 00:03:50,080 Speaker 1: area of Chicago. This is a fancy neighborhood in the street, 66 00:03:51,800 --> 00:03:55,000 Speaker 1: and points the gun at her dog too, points the 67 00:03:55,040 --> 00:03:58,280 Speaker 1: gun at her dog, just to really bring home the terror. 68 00:03:58,320 --> 00:04:01,520 Speaker 1: And then I believe they went through her purse, found 69 00:04:01,560 --> 00:04:04,240 Speaker 1: her car keys. I suppose they had surveiled her before 70 00:04:04,280 --> 00:04:06,800 Speaker 1: this and then went install her cars. Well, that was 71 00:04:06,840 --> 00:04:11,280 Speaker 1: what they were really after. This is an individual who 72 00:04:11,320 --> 00:04:13,480 Speaker 1: should be taken to the perpetrator of this crime, should 73 00:04:13,480 --> 00:04:18,120 Speaker 1: be taken out of society for decades at a minimum, 74 00:04:19,000 --> 00:04:22,920 Speaker 1: right should have to pay a very serious price. And 75 00:04:23,040 --> 00:04:26,479 Speaker 1: yet will that happen in Chicago? Well, you know, in Chicago, 76 00:04:26,760 --> 00:04:29,280 Speaker 1: after an armed robbery like this, are the cops even 77 00:04:29,320 --> 00:04:34,000 Speaker 1: able to pursue? Not at high speeds? Are the cops 78 00:04:34,040 --> 00:04:35,840 Speaker 1: able to chase on foot if they think they see 79 00:04:35,839 --> 00:04:40,000 Speaker 1: this individual? Probably not. They've changed so many of the 80 00:04:40,120 --> 00:04:43,080 Speaker 1: rules in recent years, and in fact, they just had 81 00:04:43,120 --> 00:04:48,000 Speaker 1: the Governor Pritzker, who you know, looks like would have 82 00:04:48,000 --> 00:04:49,480 Speaker 1: happened what would have happened to all of us if 83 00:04:49,480 --> 00:04:51,919 Speaker 1: the COVID lockdowns have been extended for about a decade 84 00:04:51,960 --> 00:04:54,520 Speaker 1: and all we could do was watch Netflix and eat Cheetos. 85 00:04:55,320 --> 00:05:05,480 Speaker 1: Pritzker signed this Safe He Acts that lowers lowers incarceration 86 00:05:05,520 --> 00:05:09,159 Speaker 1: time for people that that is essentially meant to make 87 00:05:09,160 --> 00:05:11,200 Speaker 1: it harder for cops to do their jobs and make 88 00:05:11,200 --> 00:05:13,200 Speaker 1: it easier for criminals to get away with what they're doing. 89 00:05:15,040 --> 00:05:17,000 Speaker 1: This stuff doesn't seem to change in these cities. They 90 00:05:17,000 --> 00:05:19,640 Speaker 1: don't seem to care about what the real impact will be. 91 00:05:19,920 --> 00:05:22,920 Speaker 1: I take you out in New York City, where they 92 00:05:23,000 --> 00:05:29,400 Speaker 1: have as of today, a settlement filed with the sorry 93 00:05:29,400 --> 00:05:33,200 Speaker 1: filed today is going to stop NYPD officers, according to The 94 00:05:33,160 --> 00:05:37,880 Speaker 1: The New York Times, from detaining people, detaining people at 95 00:05:38,040 --> 00:05:41,719 Speaker 1: length as they check databases for reasons to arrest at length, 96 00:05:41,960 --> 00:05:46,600 Speaker 1: they don't pull them for that long. This means, let 97 00:05:46,600 --> 00:05:49,280 Speaker 1: me tell you what this is. Okay, Cops, if they 98 00:05:49,320 --> 00:05:54,960 Speaker 1: stop somebody, if they think that somebody is you know, 99 00:05:55,200 --> 00:05:57,040 Speaker 1: is in the commission of a crime, and they think 100 00:05:57,040 --> 00:06:00,800 Speaker 1: somebody might be selling drugs carrying a weapon, they're allowed 101 00:06:00,839 --> 00:06:04,760 Speaker 1: to go up and speak to them and they can 102 00:06:04,800 --> 00:06:08,600 Speaker 1: ascertain who this individual is. If they have an articulable 103 00:06:08,600 --> 00:06:11,360 Speaker 1: suspicion that they are committing a crime, there's some reason 104 00:06:11,440 --> 00:06:15,680 Speaker 1: for them to talk to them. And then it has 105 00:06:15,720 --> 00:06:18,479 Speaker 1: been common practice for the cops. That go, all right, Well, 106 00:06:18,520 --> 00:06:20,800 Speaker 1: since we're in a conversation and I think something was 107 00:06:20,839 --> 00:06:22,600 Speaker 1: a little a little bit off here, I am going 108 00:06:22,640 --> 00:06:25,360 Speaker 1: to just run to see if you have any outstanding warrants. 109 00:06:26,600 --> 00:06:30,080 Speaker 1: That's all, any outstanding warrants. This is about as much 110 00:06:30,120 --> 00:06:34,560 Speaker 1: of an infringement on someone's someone's time and rights. And 111 00:06:35,120 --> 00:06:37,760 Speaker 1: you know, psychology is you know, you get pulled over 112 00:06:37,800 --> 00:06:39,200 Speaker 1: a cops as you know, I think I think you 113 00:06:39,279 --> 00:06:40,800 Speaker 1: swerved a little bit of the lane there. They pull 114 00:06:40,839 --> 00:06:43,720 Speaker 1: you over, they ask for your license and registration, They 115 00:06:43,800 --> 00:06:45,440 Speaker 1: run it and they come back, they hand you back 116 00:06:45,480 --> 00:06:47,520 Speaker 1: your card and if there's no problem, there's no problem. 117 00:06:48,080 --> 00:06:50,000 Speaker 1: This has happened to me. I just got pulled over 118 00:06:51,200 --> 00:06:54,359 Speaker 1: down here in Florida. Had it was a license plate thing, 119 00:06:54,440 --> 00:06:57,120 Speaker 1: a registration issue. There's nothing. The cop and I talked 120 00:06:57,120 --> 00:07:00,480 Speaker 1: for a second. I was very polite. He said, sir, 121 00:07:00,640 --> 00:07:02,479 Speaker 1: you know I can't really see your plate with where 122 00:07:02,480 --> 00:07:04,080 Speaker 1: it is. Can you fix it differently? You know, we 123 00:07:04,279 --> 00:07:07,320 Speaker 1: just talked, but he wanted my license. He went back 124 00:07:07,320 --> 00:07:09,160 Speaker 1: to his car, he checked it out, came back fine, 125 00:07:09,200 --> 00:07:11,760 Speaker 1: went about my way. I don't find this to be 126 00:07:12,480 --> 00:07:16,960 Speaker 1: some egregious horrible abuse of police authority. He had a 127 00:07:17,000 --> 00:07:19,280 Speaker 1: reason to stop me. He told me what the reason was. 128 00:07:19,360 --> 00:07:21,640 Speaker 1: I understand the reason we address the issue went about 129 00:07:21,680 --> 00:07:24,960 Speaker 1: my way. Law enforcement has to have some ability to 130 00:07:25,000 --> 00:07:28,000 Speaker 1: do these things right. There has to be some ability 131 00:07:28,040 --> 00:07:30,600 Speaker 1: to stop and talk to people and ascertain what a 132 00:07:30,640 --> 00:07:33,760 Speaker 1: situation is. If we're just gonna have it, Oh my gosh, 133 00:07:33,800 --> 00:07:36,000 Speaker 1: felony in progress is the only thing a cop is 134 00:07:36,040 --> 00:07:40,000 Speaker 1: allowed to intervene on. We're in really bad shape. But 135 00:07:40,120 --> 00:07:43,720 Speaker 1: what this new agreement in New York says is that 136 00:07:43,800 --> 00:07:47,320 Speaker 1: a cop can no longer if they stop you because 137 00:07:47,360 --> 00:07:50,880 Speaker 1: they think you have a gun in your waistband. Right, 138 00:07:50,960 --> 00:07:52,640 Speaker 1: let's just say that's what they stop and they talk 139 00:07:52,680 --> 00:07:54,920 Speaker 1: to you, and then they say, all right, I'd like 140 00:07:54,920 --> 00:07:57,320 Speaker 1: to see some ID. They can't then go and run 141 00:07:57,680 --> 00:08:02,040 Speaker 1: a check to see if you are if you have 142 00:08:02,080 --> 00:08:06,600 Speaker 1: any outstanding warrants. Who is this keeping safe exactly? I mean, 143 00:08:06,640 --> 00:08:10,200 Speaker 1: what is really the purpose of this change in the rule? 144 00:08:10,440 --> 00:08:12,160 Speaker 1: Well as we know, what they're saying is that this 145 00:08:12,200 --> 00:08:15,000 Speaker 1: is discriminatory, that the cops who do this are racist. 146 00:08:14,800 --> 00:08:19,480 Speaker 1: And yet when you look at what the impact will 147 00:08:19,520 --> 00:08:23,120 Speaker 1: be to the whole of New York City, there are 148 00:08:23,160 --> 00:08:25,880 Speaker 1: certain areas that have much higher crime than others. Those 149 00:08:25,920 --> 00:08:30,360 Speaker 1: areas are disproportionally minority areas of the city, particularly black 150 00:08:30,400 --> 00:08:33,200 Speaker 1: and Hispanic majority areas of New York. I know this 151 00:08:33,360 --> 00:08:38,160 Speaker 1: very well. I work for the NYPD Intelligence Division, and 152 00:08:38,240 --> 00:08:43,320 Speaker 1: so the people most likely to suffer from serious crime are, 153 00:08:43,400 --> 00:08:47,640 Speaker 1: in fact, the over ninety nine percent of residents of 154 00:08:47,679 --> 00:08:52,160 Speaker 1: these areas who are predominantly Black and Hispanic, who could 155 00:08:52,160 --> 00:08:54,560 Speaker 1: be no crimes, who just want to live their lives. 156 00:08:55,280 --> 00:08:59,240 Speaker 1: But they're the ones. They're law abiding Americans, and they're 157 00:08:59,240 --> 00:09:02,840 Speaker 1: the ones who saw because left wing libs and the 158 00:09:02,880 --> 00:09:08,200 Speaker 1: ACLU are constantly finding new ways to make it harder 159 00:09:08,200 --> 00:09:10,400 Speaker 1: for police to do their jobs. One of the biggest 160 00:09:10,400 --> 00:09:15,840 Speaker 1: benefits of broken windows policing, which people talk about less 161 00:09:15,880 --> 00:09:18,160 Speaker 1: now than they used to, but because of its success, 162 00:09:18,920 --> 00:09:22,600 Speaker 1: it was considered a gold standard approach to turning a place, 163 00:09:22,640 --> 00:09:27,640 Speaker 1: turning a city around. Because of the approach where you 164 00:09:27,760 --> 00:09:29,720 Speaker 1: enforce the laws at all levels. You know what happens. 165 00:09:30,760 --> 00:09:36,000 Speaker 1: The person who jumps the classic example is the person 166 00:09:36,040 --> 00:09:39,120 Speaker 1: who jumps the turnstyle, which now as you know that, 167 00:09:39,240 --> 00:09:42,400 Speaker 1: they even considered some policy in New York where they 168 00:09:42,400 --> 00:09:44,040 Speaker 1: were going to change the turnstyles to make it harder 169 00:09:44,040 --> 00:09:46,839 Speaker 1: because people are just jumping turnstyles all over the place. Again, 170 00:09:47,920 --> 00:09:52,319 Speaker 1: that graffiti, drug use in the streets. These are this 171 00:09:52,440 --> 00:09:55,320 Speaker 1: is the decay, the urban decay that just compounds and 172 00:09:55,360 --> 00:09:58,480 Speaker 1: makes everyone less safe, makes businesses pull out, makes people 173 00:09:58,960 --> 00:10:01,880 Speaker 1: people feel like they've got a of somewhere else. This 174 00:10:01,960 --> 00:10:06,120 Speaker 1: is how it happens. And yet if you actually enforce 175 00:10:06,240 --> 00:10:10,840 Speaker 1: laws about things like turnstyle jumping, what you find is 176 00:10:10,840 --> 00:10:13,800 Speaker 1: you grab the person who jumped the turnstyle, you check 177 00:10:13,880 --> 00:10:17,760 Speaker 1: them for warrants. That is, in many cases going to 178 00:10:17,800 --> 00:10:21,199 Speaker 1: be the person you are looking for who has wanted 179 00:10:21,320 --> 00:10:24,160 Speaker 1: on an attempted murder charge and as part of a gang, 180 00:10:24,920 --> 00:10:28,160 Speaker 1: who's wanted on a rape charge, or on a sexual 181 00:10:28,200 --> 00:10:33,760 Speaker 1: assault charge, at any number of serious felonies. But that 182 00:10:34,000 --> 00:10:39,959 Speaker 1: interaction with police allows for the incarceration, for the incarceration 183 00:10:40,000 --> 00:10:43,000 Speaker 1: and then the facing of the justice system for the 184 00:10:43,040 --> 00:10:47,680 Speaker 1: people who are committing these crimes. It's very straightforward, stop 185 00:10:47,760 --> 00:10:50,679 Speaker 1: questioning frisk. They call it stopping frisk, but it's actually 186 00:10:50,679 --> 00:10:53,440 Speaker 1: stopped question and frisk is the way the policy was implemented. 187 00:10:53,480 --> 00:10:56,000 Speaker 1: They got rid of that in New York. Has that 188 00:10:56,120 --> 00:10:58,360 Speaker 1: made New York safer? Well, since they got they're gonna 189 00:10:58,400 --> 00:11:01,400 Speaker 1: say it's not it's not causation, and it's correlation. Yeah, yeah, sure. 190 00:11:02,040 --> 00:11:03,640 Speaker 1: Since they've gotten rid of it, New York has gotten 191 00:11:03,679 --> 00:11:07,959 Speaker 1: much less safe. There's far more criminality. But oh, it 192 00:11:08,120 --> 00:11:11,360 Speaker 1: was it was a discriminatory practice. They said it was wrong, 193 00:11:11,520 --> 00:11:14,959 Speaker 1: it was unconstitutional, all this kind of stuff, and we say, 194 00:11:14,960 --> 00:11:18,280 Speaker 1: all right, well, now people suffer. Now people suffer from 195 00:11:18,960 --> 00:11:22,640 Speaker 1: more gunshots, more stabbings, more robbings, more rapes, more assaults, 196 00:11:22,720 --> 00:11:26,840 Speaker 1: more car theft, more burugulary, all of that. You know 197 00:11:26,880 --> 00:11:29,400 Speaker 1: what democrats say in response to all this, it's a 198 00:11:29,440 --> 00:11:34,840 Speaker 1: price we have to pay. Social justice means no actual 199 00:11:34,960 --> 00:11:39,440 Speaker 1: justice in these cities. It means the justice system is 200 00:11:40,160 --> 00:11:43,080 Speaker 1: completely limited in what it's able to do, and it's 201 00:11:43,160 --> 00:11:47,360 Speaker 1: undermined at every turn. And the lips don't care. They 202 00:11:47,440 --> 00:11:50,240 Speaker 1: don't care. They think this is the price we have 203 00:11:50,280 --> 00:11:53,640 Speaker 1: to pay for a more equitable society. And I think 204 00:11:53,840 --> 00:11:57,080 Speaker 1: that's such a perverse view of it, because, as I've said, 205 00:11:58,120 --> 00:12:02,760 Speaker 1: you have even in the highest crime neighborhoods of any 206 00:12:02,800 --> 00:12:08,800 Speaker 1: American city. It is if you're talking about a predominantly 207 00:12:09,720 --> 00:12:12,120 Speaker 1: let's say, predominantly black and Hispanic neighborhood, which is what 208 00:12:12,160 --> 00:12:14,400 Speaker 1: you get in the South Bronx in New York, in 209 00:12:15,520 --> 00:12:20,480 Speaker 1: places like bed Styes now transition to a kind of 210 00:12:20,640 --> 00:12:24,840 Speaker 1: a hip place. But Brownsville, East New York places out 211 00:12:24,880 --> 00:12:28,160 Speaker 1: in Brooklyn and Queens where there's much higher crime rates, 212 00:12:29,679 --> 00:12:32,280 Speaker 1: the people living there are living there and they're not 213 00:12:32,320 --> 00:12:36,160 Speaker 1: committing crimes. It is less than one percent of these 214 00:12:36,160 --> 00:12:38,480 Speaker 1: communities that are committing the crimes, and they're mostly committing 215 00:12:38,480 --> 00:12:40,440 Speaker 1: the crimes against their neighbors and the other people who 216 00:12:40,520 --> 00:12:46,880 Speaker 1: live there. And so higher crime rates disproportionally affect minorities 217 00:12:46,920 --> 00:12:50,880 Speaker 1: in high crime neighborhoods, who are the very people that 218 00:12:51,080 --> 00:12:56,119 Speaker 1: democrats in safe neighborhoods I'm talking now, mostly or predominantly 219 00:12:56,160 --> 00:12:59,800 Speaker 1: white Democrats in safe neighborhoods of major cities pretend to 220 00:13:00,240 --> 00:13:04,920 Speaker 1: care about the Nancy Pelosi effect. Nancy Pelosi knows nothing 221 00:13:05,040 --> 00:13:07,240 Speaker 1: about what it is to be a person who is 222 00:13:07,280 --> 00:13:09,959 Speaker 1: working class, who is struggling in a high crime neighborhood, 223 00:13:10,080 --> 00:13:15,280 Speaker 1: and she doesn't care. She cares about whether she gets 224 00:13:15,280 --> 00:13:18,360 Speaker 1: put on the cover of Vanity Fair and MSNBC talks 225 00:13:18,360 --> 00:13:21,840 Speaker 1: about what a hero she is for social justice. Same 226 00:13:21,840 --> 00:13:26,000 Speaker 1: thing with Chuck Schumer, same thing with AOC. Do these 227 00:13:26,000 --> 00:13:28,240 Speaker 1: people live in dangerous neighborhoods? They have no idea what 228 00:13:28,240 --> 00:13:29,640 Speaker 1: it is to be worried about their safety. I know 229 00:13:29,720 --> 00:13:32,040 Speaker 1: some of you say, oh, look at Nancy Pelosi, what 230 00:13:32,040 --> 00:13:34,719 Speaker 1: happened to Paul Pelosi? Which I say, yeah, where is 231 00:13:34,760 --> 00:13:37,600 Speaker 1: the bodycam footage? By the way, have you seen it yet? 232 00:13:38,200 --> 00:13:40,120 Speaker 1: I haven't seen it yet. I'm just curious. I would 233 00:13:40,120 --> 00:13:42,160 Speaker 1: like to see the footage because we would see the 234 00:13:42,160 --> 00:13:46,240 Speaker 1: footage in any other serious police incident, wouldn't we seems 235 00:13:46,240 --> 00:13:50,280 Speaker 1: a little weird, doesn't It seems a little weird. My 236 00:13:50,400 --> 00:13:53,280 Speaker 1: fellow gun owners out there, you know how expensive AMMO 237 00:13:53,360 --> 00:13:56,080 Speaker 1: has become. It's gone up some fifty five percent in 238 00:13:56,120 --> 00:13:58,640 Speaker 1: the last year. That makes it so much more expensive 239 00:13:58,640 --> 00:14:01,200 Speaker 1: to train and keep your skills. But there's another way, 240 00:14:01,280 --> 00:14:04,800 Speaker 1: an all electronic way, through something called the Mantis X 241 00:14:04,800 --> 00:14:08,440 Speaker 1: to keep your skills sharp at the range. Mantis X 242 00:14:09,320 --> 00:14:13,240 Speaker 1: is a dry fire practice tool that means it's AMMO free. 243 00:14:13,600 --> 00:14:16,439 Speaker 1: Mantis X is an electronic way to improve your shooting accuracy, 244 00:14:16,520 --> 00:14:19,760 Speaker 1: and it is so effective ninety four percent of everyone 245 00:14:19,880 --> 00:14:22,600 Speaker 1: using it improves their shooting after just twenty minutes time. 246 00:14:23,000 --> 00:14:25,040 Speaker 1: You attach your mantis X to your firearm like a 247 00:14:25,040 --> 00:14:27,640 Speaker 1: weapon light. You can use it at home or at 248 00:14:27,640 --> 00:14:31,240 Speaker 1: the range for training extend. Instead of expensive AMMO, the 249 00:14:31,280 --> 00:14:33,840 Speaker 1: mantis X gives you data driven, real time feedback on 250 00:14:33,880 --> 00:14:36,640 Speaker 1: your technique and guide you through drills and courses. It's 251 00:14:36,720 --> 00:14:39,720 Speaker 1: really cool, very modern technology, and it's a whole lot 252 00:14:39,720 --> 00:14:42,760 Speaker 1: of fun to use in practice with. Plus the Marines 253 00:14:42,800 --> 00:14:45,040 Speaker 1: and the Army they're using this and they're making their 254 00:14:45,040 --> 00:14:48,640 Speaker 1: shooters better as a result. It's military grade technology at 255 00:14:48,640 --> 00:14:51,440 Speaker 1: an affordable price. The mantis X is a must have 256 00:14:52,080 --> 00:14:54,880 Speaker 1: for every gun owner. Get yours online at mantis x 257 00:14:54,960 --> 00:14:58,960 Speaker 1: dot com. That's m A n T I s X 258 00:14:59,320 --> 00:15:04,480 Speaker 1: mantis x dot com. Inspiring you to seek out the 259 00:15:04,520 --> 00:15:08,440 Speaker 1: truth the Clay Travis said Buck Sexton show. You know 260 00:15:08,480 --> 00:15:12,720 Speaker 1: they've got some of the data, additional data out about 261 00:15:12,880 --> 00:15:17,800 Speaker 1: Sam Bankman, freed billionaire Frodo Baggers as I call him. 262 00:15:18,080 --> 00:15:20,160 Speaker 1: I just wanted to change the world for the batter. 263 00:15:20,360 --> 00:15:22,240 Speaker 1: I was just going to get rid of climate change, 264 00:15:22,560 --> 00:15:24,720 Speaker 1: and I was going to pay off all the Democrats 265 00:15:24,760 --> 00:15:28,760 Speaker 1: at all the big lib news outlets, and that I 266 00:15:28,800 --> 00:15:31,560 Speaker 1: was going to live at by Vegan Sex Combune with 267 00:15:31,560 --> 00:15:34,240 Speaker 1: twenty other people that was paid for by people that 268 00:15:34,320 --> 00:15:39,000 Speaker 1: I defrauded. And yeah, I mean that's pretty much what 269 00:15:39,040 --> 00:15:41,200 Speaker 1: we know about Sam Banker Freed at this point, although 270 00:15:41,280 --> 00:15:46,160 Speaker 1: there's some additional information out there about just who was 271 00:15:46,360 --> 00:15:51,560 Speaker 1: getting the money, right, that old old important thing to 272 00:15:51,600 --> 00:15:55,640 Speaker 1: keep in mind. Follow the money. This is from the 273 00:15:56,000 --> 00:16:01,560 Speaker 1: Twitter account unusual Whales, which is very far and he 274 00:16:01,640 --> 00:16:05,480 Speaker 1: has the money here from mister Sam Bankman Freed. This 275 00:16:05,640 --> 00:16:07,400 Speaker 1: is going to be one of the biggest frauds we 276 00:16:07,440 --> 00:16:11,520 Speaker 1: have seen in a long time. That's pretty clear. At 277 00:16:11,560 --> 00:16:14,200 Speaker 1: this point. Bankbon Freed has has been arrested. He is 278 00:16:14,200 --> 00:16:23,360 Speaker 1: in a Bahamian prison, and it's fascinating to see how 279 00:16:23,360 --> 00:16:28,480 Speaker 1: the live media is now finally finally deciding that they're 280 00:16:28,480 --> 00:16:33,880 Speaker 1: going to cover this story. Here we go the people 281 00:16:33,880 --> 00:16:38,160 Speaker 1: who got the money, because they kept saying Republicans got 282 00:16:38,240 --> 00:16:43,560 Speaker 1: the money too? Is the Republican Okay, hold on a second, Yes, 283 00:16:44,240 --> 00:16:46,280 Speaker 1: there was some money given. You can see on this 284 00:16:46,400 --> 00:16:50,320 Speaker 1: chart one, two, three, four, five, six, seven, eight nine 285 00:16:50,520 --> 00:16:57,080 Speaker 1: sources Republican sources, and that includes such Republican stalwarts as 286 00:16:57,440 --> 00:17:03,320 Speaker 1: Lisa Murkowski for Senate m Almost like they were giving 287 00:17:03,400 --> 00:17:08,359 Speaker 1: money to Republicans including in the primaries. Who would be 288 00:17:08,760 --> 00:17:17,560 Speaker 1: the best for Democrats? Oh? Interesting, you had Collins for senator. 289 00:17:17,680 --> 00:17:20,320 Speaker 1: Also got money by you know, Susan Collins. Yeah, that 290 00:17:20,880 --> 00:17:25,480 Speaker 1: hardcore right winger Susan Collins. She got money from this guy. 291 00:17:25,920 --> 00:17:28,600 Speaker 1: She got money from San Bankman Freed. What's weird is 292 00:17:28,720 --> 00:17:33,040 Speaker 1: I don't see any any right wingers. I don't see 293 00:17:33,080 --> 00:17:38,000 Speaker 1: any money going to you know, Blake Masters, or Ron 294 00:17:38,040 --> 00:17:42,440 Speaker 1: de Santis or kempin Georgio, or or our buddy Ron 295 00:17:42,560 --> 00:17:45,600 Speaker 1: John up in Wisconsin. I don't see any money going 296 00:17:45,640 --> 00:17:50,919 Speaker 1: to any you know, like Republican Republicans. Turns out, when 297 00:17:50,960 --> 00:17:52,639 Speaker 1: you look at the details, all of a sudden, the 298 00:17:52,680 --> 00:17:57,480 Speaker 1: story becomes a lot more clear, doesn't it. Small businesses, 299 00:17:57,520 --> 00:18:01,400 Speaker 1: my friends, are benefiting from a little known IRS refund plan. 300 00:18:01,800 --> 00:18:04,320 Speaker 1: If your business has five or more employees and managed 301 00:18:04,320 --> 00:18:07,000 Speaker 1: to survive COVID, you could be eligible to receive a 302 00:18:07,040 --> 00:18:10,000 Speaker 1: payroll tax rebate of up at twenty six thousand dollars 303 00:18:10,000 --> 00:18:13,080 Speaker 1: per employee. This isn't alone, there's no payback, It's a 304 00:18:13,200 --> 00:18:15,560 Speaker 1: refund of your taxes. How do you get your business 305 00:18:15,560 --> 00:18:19,240 Speaker 1: this refund money? Go to getrefunds dot Com. Their tax 306 00:18:19,240 --> 00:18:22,960 Speaker 1: attorneys are specialists in this little known payroll tax refund program. 307 00:18:23,240 --> 00:18:25,439 Speaker 1: They do all the work with no charge upfront and 308 00:18:25,480 --> 00:18:27,800 Speaker 1: simply share a percentage of the cash they get for you. 309 00:18:28,320 --> 00:18:32,680 Speaker 1: Businesses of all types can qualify, including those who took PPP, nonprofits, 310 00:18:32,720 --> 00:18:35,240 Speaker 1: even those that had an increase in sales. The team 311 00:18:35,280 --> 00:18:38,439 Speaker 1: at getrefunds dot com has already returned over a billion 312 00:18:38,480 --> 00:18:41,040 Speaker 1: dollars to businesses and they can help you as well. 313 00:18:41,440 --> 00:18:44,159 Speaker 1: Just go to getrefunds dot com, click on qualify me 314 00:18:44,280 --> 00:18:47,600 Speaker 1: and answer a few questions. This payroll tax refund is 315 00:18:47,600 --> 00:18:50,520 Speaker 1: only available for a limited amount of time. Don't miss out. 316 00:18:50,560 --> 00:18:54,680 Speaker 1: Go to getrefunds dot com. That's get refunds dot Com. 317 00:18:54,760 --> 00:18:58,199 Speaker 1: No risk, high reward, Get refunds dot Com. On the 318 00:18:58,320 --> 00:19:02,919 Speaker 1: front lines of true Sam Bankman Freed is not on 319 00:19:03,040 --> 00:19:07,400 Speaker 1: santis good boy list. That is for sure. He has 320 00:19:09,000 --> 00:19:11,920 Speaker 1: been naughty. He has not been nice to the many 321 00:19:11,960 --> 00:19:18,320 Speaker 1: many people that he allegedly defrauded out of billions of dollars. 322 00:19:19,200 --> 00:19:21,919 Speaker 1: And there are a lot of people that might have 323 00:19:22,000 --> 00:19:28,119 Speaker 1: something to answer for here, because there are he gave 324 00:19:28,160 --> 00:19:32,400 Speaker 1: money to. According to the Daily mailor a quarter of Congress. 325 00:19:33,200 --> 00:19:35,639 Speaker 1: Now they keeps saying one hundred and thirty Democrats, Republicans, 326 00:19:35,640 --> 00:19:37,600 Speaker 1: and Biden. You have a lot of money to Biden. 327 00:19:39,200 --> 00:19:41,679 Speaker 1: But when I looked at unless the data that I 328 00:19:41,720 --> 00:19:45,040 Speaker 1: saw is wrong, he gave money to a handful of 329 00:19:45,080 --> 00:19:50,280 Speaker 1: Republicans who were the least Republican Republicans you could find, 330 00:19:51,280 --> 00:19:55,800 Speaker 1: and also was giving money to try to steer in 331 00:19:55,880 --> 00:19:57,800 Speaker 1: the prime It also seems he might have been giving 332 00:19:57,840 --> 00:20:02,840 Speaker 1: money try to steer in the primaries more either beatable 333 00:20:03,000 --> 00:20:07,040 Speaker 1: or weaker candidates. So yeah, Sam Bankman, Freed is a 334 00:20:07,119 --> 00:20:13,119 Speaker 1: huge lib obviously. Now, even for someone who has an 335 00:20:13,160 --> 00:20:17,920 Speaker 1: ideological affinity for one side or the other, paying off 336 00:20:18,560 --> 00:20:23,080 Speaker 1: everybody when you're scheming people out of billions of dollars, 337 00:20:23,160 --> 00:20:26,040 Speaker 1: when you're taking billions of dollars of investor money away 338 00:20:27,840 --> 00:20:32,399 Speaker 1: or blighting it on fire, spending on other things, that's 339 00:20:32,480 --> 00:20:36,919 Speaker 1: just that's just pretty sound practice, right. Bribe everybody to 340 00:20:37,000 --> 00:20:38,800 Speaker 1: the degree that you can or you think you need to. 341 00:20:39,440 --> 00:20:43,600 Speaker 1: But I think it's very clear that overwhelmingly these were 342 00:20:43,680 --> 00:20:46,879 Speaker 1: left wing causes, because the apparatus of power and control 343 00:20:46,880 --> 00:20:55,560 Speaker 1: in this country is left leaning media, academia, Hollywood, corporate America, 344 00:20:55,640 --> 00:20:57,679 Speaker 1: Corporate America. Is It's funny because you have all these 345 00:20:57,680 --> 00:21:00,600 Speaker 1: people that are like, yeah, like we stay and against 346 00:21:00,600 --> 00:21:05,320 Speaker 1: the men, like we're super progressive, We're like socialists brought 347 00:21:05,320 --> 00:21:08,080 Speaker 1: to you by Amazon. I mean they are such phonies, 348 00:21:08,840 --> 00:21:12,760 Speaker 1: such phonies as corporate Americas gotten all left wing too. 349 00:21:13,520 --> 00:21:15,640 Speaker 1: They think they can get away with left wing politics 350 00:21:15,680 --> 00:21:18,720 Speaker 1: while while selling you whatever products it is that they 351 00:21:18,760 --> 00:21:23,800 Speaker 1: have online or on shelf. And hopefully that's going to change. 352 00:21:23,840 --> 00:21:26,240 Speaker 1: If that doesn't change, by the way, Conservatives, I think 353 00:21:26,240 --> 00:21:29,120 Speaker 1: we just end up end up losing in the long run. 354 00:21:29,200 --> 00:21:32,639 Speaker 1: It's impossible to compete with the other side when they 355 00:21:32,720 --> 00:21:35,679 Speaker 1: have so much more money, power, influence at their disposal. 356 00:21:36,440 --> 00:21:39,120 Speaker 1: Doesn't matter what our ideas are and their ideas are. 357 00:21:39,840 --> 00:21:44,120 Speaker 1: They just have better machinery to get their way on 358 00:21:44,160 --> 00:21:48,040 Speaker 1: their side. But I think the other part of this 359 00:21:48,119 --> 00:21:51,200 Speaker 1: that will likely come out here we go forty six 360 00:21:51,280 --> 00:21:54,400 Speaker 1: point five million in sand banquet free donations to political groups. 361 00:21:55,080 --> 00:21:58,960 Speaker 1: He gave twenty seven million dollars to Protect our Future. 362 00:22:00,080 --> 00:22:03,679 Speaker 1: That's for Democrats. He gave five million dollars to the 363 00:22:03,920 --> 00:22:07,400 Speaker 1: Biden twenty twenty campaign. That's a nice little donation, isn't 364 00:22:07,440 --> 00:22:12,119 Speaker 1: it a million dollars to beet to O'Rourke are like, never, 365 00:22:12,600 --> 00:22:15,120 Speaker 1: I never would have taken that money if I had 366 00:22:15,160 --> 00:22:19,399 Speaker 1: known that it was like totally stolen from like the 367 00:22:19,440 --> 00:22:22,520 Speaker 1: people that I so care about. Also, I want to 368 00:22:22,560 --> 00:22:26,440 Speaker 1: take away all your guns. Representative. How Kim Jeffries got 369 00:22:26,480 --> 00:22:31,879 Speaker 1: fifty eight hundred dollars Mitt Romney? Of course, this is 370 00:22:31,920 --> 00:22:34,959 Speaker 1: the thing they say. But he donated to Republicans too. 371 00:22:35,440 --> 00:22:39,160 Speaker 1: He gave fifty eight hundred bucks to Mit Romney. Let's 372 00:22:39,200 --> 00:22:46,080 Speaker 1: see Susan Collins fifty eight hundred, Corey Booker fifty seven hundred, 373 00:22:47,000 --> 00:22:52,080 Speaker 1: Josh Gottheimer fifty eight hundred, and there's more and more 374 00:22:52,119 --> 00:22:54,800 Speaker 1: and more, and then you get into all the packs. 375 00:22:56,240 --> 00:22:58,320 Speaker 1: So much money going to all these packs. Remember this 376 00:22:58,440 --> 00:23:04,879 Speaker 1: is just the FEC Federal Election Commission stuff. This is 377 00:23:04,920 --> 00:23:09,280 Speaker 1: just what's been accounted for. The guy in charge of 378 00:23:09,320 --> 00:23:14,000 Speaker 1: the bankruptcy of FTX has already come out and said, look, 379 00:23:14,040 --> 00:23:19,760 Speaker 1: they basically weren't keeping records. And we're talking about crypto here, which, 380 00:23:19,840 --> 00:23:22,320 Speaker 1: if you know what you're doing, is very easy to 381 00:23:22,480 --> 00:23:28,800 Speaker 1: transfer without the source of it being known. Who knows 382 00:23:29,680 --> 00:23:32,080 Speaker 1: where all these different accounts and funds that everything. Remember 383 00:23:32,080 --> 00:23:35,159 Speaker 1: he set up in the Bahamas for a reason to 384 00:23:35,320 --> 00:23:39,840 Speaker 1: evade regulators and scrutiny and to have a free hand 385 00:23:39,920 --> 00:23:43,000 Speaker 1: to do whatever he wanted to do. I think, and 386 00:23:43,119 --> 00:23:45,399 Speaker 1: I see this from you know, Elon Mosky is a 387 00:23:45,480 --> 00:23:52,560 Speaker 1: super obviously a superintelligent guy who also understands corporate finance 388 00:23:52,680 --> 00:23:54,679 Speaker 1: and how you can move money around and all that 389 00:23:54,720 --> 00:23:57,399 Speaker 1: kind of stuff. Elon says that he thinks that bankman 390 00:23:57,440 --> 00:24:01,080 Speaker 1: Freed gave away right now, it's the seventy million that 391 00:24:01,240 --> 00:24:04,760 Speaker 1: is listed on the FEC that has shown up in 392 00:24:04,840 --> 00:24:10,879 Speaker 1: FEC records. Forty million to Democrats. They say, thirty million 393 00:24:10,920 --> 00:24:14,119 Speaker 1: to Republicans. But as I'm talking to you, I can say, yeah, 394 00:24:14,119 --> 00:24:16,600 Speaker 1: but the Republicans they gave money to were like not, 395 00:24:16,760 --> 00:24:19,639 Speaker 1: you know, not really the Republicans that are going to 396 00:24:19,680 --> 00:24:22,560 Speaker 1: do anything. It's the point trying to help, for example, 397 00:24:23,280 --> 00:24:26,280 Speaker 1: Murkowski defeat Kelly Shabaka. Right, well, that's really helping the 398 00:24:26,320 --> 00:24:30,160 Speaker 1: Democrats because Murkowski will go along with Democrats. But that's 399 00:24:30,200 --> 00:24:33,600 Speaker 1: the second layer beneath all this. But I also think 400 00:24:33,600 --> 00:24:35,960 Speaker 1: it is likely we will find out that there was 401 00:24:36,000 --> 00:24:39,240 Speaker 1: a whole lot more money given to Democrat interests. We 402 00:24:39,400 --> 00:24:42,840 Speaker 1: know that he was donating two different media entities and 403 00:24:42,920 --> 00:24:47,119 Speaker 1: organizations and that was just buying more of the positive 404 00:24:47,119 --> 00:24:52,200 Speaker 1: coverage this guy was. They really ran front cover stories 405 00:24:52,280 --> 00:24:55,440 Speaker 1: at all, kinds of yeah, what do you call them, 406 00:24:55,920 --> 00:25:00,119 Speaker 1: financial publications, you know, Fortune magazine, stuff like that. He 407 00:25:00,160 --> 00:25:03,879 Speaker 1: was gonna be the world's first trillionaire, little billionaire, Frodo 408 00:25:03,920 --> 00:25:05,920 Speaker 1: Baggins was gonna be the world's first treat at a 409 00:25:06,000 --> 00:25:10,080 Speaker 1: trillion dollars, so that I could defeat climate change and 410 00:25:10,320 --> 00:25:13,800 Speaker 1: do all the other very important world changing things. What 411 00:25:13,880 --> 00:25:16,920 Speaker 1: did this guy actually even create. That's what's so fascinating. 412 00:25:17,640 --> 00:25:22,760 Speaker 1: What really was the product? It was all based on trust. 413 00:25:24,000 --> 00:25:30,879 Speaker 1: He created effectively a bank for crypto. You give me money, 414 00:25:31,520 --> 00:25:34,480 Speaker 1: I buy the crypto in your name and hold it 415 00:25:34,480 --> 00:25:36,120 Speaker 1: for you, and then you can sell it one way 416 00:25:36,119 --> 00:25:38,000 Speaker 1: the other, kind of like when you give you know, 417 00:25:38,080 --> 00:25:41,880 Speaker 1: you give a major bank your deposit, you give them 418 00:25:41,920 --> 00:25:44,080 Speaker 1: your your money, your US dollars, except he did this 419 00:25:44,119 --> 00:25:48,400 Speaker 1: for crypto. So the whole thing was really just about trust, 420 00:25:49,520 --> 00:25:52,879 Speaker 1: which is why the collapse of this is rooted and 421 00:25:53,000 --> 00:25:56,160 Speaker 1: very very straightforward, very simple thing. You couldn't trust this guy. 422 00:25:56,280 --> 00:26:01,560 Speaker 1: It's totally untrustworthy. It's a scam. Billions and billions of dollars, 423 00:26:01,640 --> 00:26:07,280 Speaker 1: big celebrities kissing up to him, government regulators meeting with him, 424 00:26:07,359 --> 00:26:12,080 Speaker 1: and who I am honestly amazed by this. It's true 425 00:26:12,119 --> 00:26:14,680 Speaker 1: of Elizabeth Holmes as well, for those of you remember 426 00:26:14,800 --> 00:26:16,480 Speaker 1: she's I think she's got like a nine years in 427 00:26:16,520 --> 00:26:21,359 Speaker 1: prison now for the paraos fraud. Who sits down with 428 00:26:21,400 --> 00:26:25,120 Speaker 1: these individuals and is so entranced and impressed by them, 429 00:26:26,480 --> 00:26:29,280 Speaker 1: because when I see them, I go, this is so obvious, 430 00:26:29,280 --> 00:26:33,680 Speaker 1: it's so transparent. But they must have some skill set 431 00:26:33,680 --> 00:26:37,040 Speaker 1: where they're able to get otherwise very bright, very discerning, 432 00:26:37,359 --> 00:26:40,520 Speaker 1: and in many cases ruthless people to just go, yeah, 433 00:26:40,640 --> 00:26:43,080 Speaker 1: you're a genius. I'm gonna give you all my money, 434 00:26:43,240 --> 00:26:48,600 Speaker 1: what or all my investors money. They're gonna slow roll 435 00:26:48,640 --> 00:26:53,280 Speaker 1: this though. They're gonna slow roll this thing because when 436 00:26:53,280 --> 00:26:55,680 Speaker 1: you see the full extent of I mean Elon said, 437 00:26:55,680 --> 00:26:58,640 Speaker 1: it's a billion dollars he's given out to different interests. 438 00:26:59,000 --> 00:27:01,080 Speaker 1: You can buy a lot of people off with a 439 00:27:01,119 --> 00:27:02,879 Speaker 1: billion dollars in brides. When was the last time you 440 00:27:02,880 --> 00:27:06,439 Speaker 1: heard about anyone bribing the establishment with a billion? With 441 00:27:06,480 --> 00:27:10,919 Speaker 1: a billion dollars, you know what I mean? That's that matters. 442 00:27:11,520 --> 00:27:14,040 Speaker 1: That can get a lot of people to look the 443 00:27:14,040 --> 00:27:16,560 Speaker 1: other way, while you're doing things. They don't want to 444 00:27:16,560 --> 00:27:17,800 Speaker 1: tell you. They don't want to tell you, they don't 445 00:27:17,840 --> 00:27:20,800 Speaker 1: want to show you who he was given this money too. Yeah, 446 00:27:20,880 --> 00:27:22,760 Speaker 1: I understand the FEC stuff has come out and that 447 00:27:22,760 --> 00:27:25,560 Speaker 1: looks pretty bad, but oh, I think it's gonna get 448 00:27:25,560 --> 00:27:28,879 Speaker 1: a lot worse. And you're going to see that he knew, 449 00:27:29,440 --> 00:27:32,840 Speaker 1: he knew how to play this whole system, and he 450 00:27:32,960 --> 00:27:36,159 Speaker 1: knew whose palms degrease and how to how to make 451 00:27:36,200 --> 00:27:38,960 Speaker 1: it happen. You know what, my friend Sam bankman free 452 00:27:39,000 --> 00:27:43,720 Speaker 1: could definitely use these days higher testosterone. He's like, it 453 00:27:43,960 --> 00:27:47,080 Speaker 1: is terrible. The food he prison is horrible. Like, I 454 00:27:47,080 --> 00:27:50,400 Speaker 1: could use some higher tea levels would be very helpful 455 00:27:50,480 --> 00:27:53,000 Speaker 1: right now. And you've seen this with a lot of 456 00:27:53,000 --> 00:27:55,680 Speaker 1: these a lot of these libs. They're just lacking in 457 00:27:55,800 --> 00:27:59,880 Speaker 1: testosterone and therefore lacking in the fortitude and the dry 458 00:28:00,040 --> 00:28:03,120 Speaker 1: even focus necessary to get through their day. I want 459 00:28:03,160 --> 00:28:06,159 Speaker 1: to send some chalk to my friend, says, he's not 460 00:28:06,200 --> 00:28:08,920 Speaker 1: my friend, but to Sam bank been freed. He would 461 00:28:08,960 --> 00:28:11,639 Speaker 1: really benefit from some chalk right now. Chalk is one 462 00:28:11,680 --> 00:28:14,399 Speaker 1: hundred percent focused on giving you the energy, focus and 463 00:28:14,520 --> 00:28:17,520 Speaker 1: drive you need to succeed. Every day. 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To 472 00:28:42,520 --> 00:28:44,800 Speaker 1: meet someone regularly relying on Chalk is to be in 473 00:28:44,840 --> 00:28:48,600 Speaker 1: the presence of someone full of life and energy and drive. 474 00:28:49,280 --> 00:28:53,560 Speaker 1: Go online now to Chalk dot com. That's spelled choq 475 00:28:53,920 --> 00:28:57,200 Speaker 1: dot com. Use my name Buck for thirty five percent 476 00:28:57,240 --> 00:29:01,800 Speaker 1: off any Chalk subscription for life. That's chalk choq dot 477 00:29:01,800 --> 00:29:04,360 Speaker 1: com and my name Buck for that thirty five percent 478 00:29:04,440 --> 00:29:06,840 Speaker 1: for life savings. A great deal from a great company 479 00:29:07,280 --> 00:29:10,680 Speaker 1: full of patriots who care about your health. Chalk dot 480 00:29:10,720 --> 00:29:16,320 Speaker 1: Com helping you separate truth from fiction every single weekday. 481 00:29:16,440 --> 00:29:19,400 Speaker 1: The Clay Travis and Buck Sexton Show. I'm gonna be 482 00:29:19,440 --> 00:29:21,720 Speaker 1: closing up shop here in a few minutes. On Clay 483 00:29:21,800 --> 00:29:24,680 Speaker 1: and Buck Clay is having a great time with family 484 00:29:24,720 --> 00:29:28,680 Speaker 1: on vacation today and through Monday Tuesday of next week. 485 00:29:28,760 --> 00:29:31,400 Speaker 1: I will be in solo there for Monday and Tuesday 486 00:29:31,440 --> 00:29:33,280 Speaker 1: of next week, live with you here on the Clay 487 00:29:33,320 --> 00:29:35,880 Speaker 1: and Buck Show, and then I'll be on vacation. Clay 488 00:29:35,920 --> 00:29:40,000 Speaker 1: will be taking over Wednesday, Thursday, Friday of next week, 489 00:29:40,360 --> 00:29:43,320 Speaker 1: and it's gonna be a fun time to hang out 490 00:29:43,360 --> 00:29:47,840 Speaker 1: the week the week of Christmas. Looking forward to all 491 00:29:48,000 --> 00:29:51,080 Speaker 1: of that holiday cheer for sure. And I wanted to 492 00:29:51,080 --> 00:29:55,320 Speaker 1: get to some of your calls. We have, Oh Sam 493 00:29:55,360 --> 00:29:59,200 Speaker 1: in Moscow, Idaho. Sam, I know you called in with 494 00:29:59,240 --> 00:30:02,040 Speaker 1: it with a toorical drama suggestion formula. I just want 495 00:30:02,080 --> 00:30:06,520 Speaker 1: to know know how's Moscow, Idaho doing. I mean, it's obviously 496 00:30:06,560 --> 00:30:09,680 Speaker 1: in the news for the very tragic reason. How are 497 00:30:09,680 --> 00:30:12,800 Speaker 1: the people of Moscow doing these days? Well, you know, 498 00:30:12,880 --> 00:30:15,880 Speaker 1: it's tense and a lot of the students have chosen 499 00:30:16,040 --> 00:30:20,800 Speaker 1: to do remote learning and tell their summer resolution, which 500 00:30:21,000 --> 00:30:23,760 Speaker 1: I hope as soon. And the only new news is 501 00:30:23,840 --> 00:30:27,040 Speaker 1: the car they're looking for that we're seeing near the 502 00:30:27,080 --> 00:30:30,160 Speaker 1: crime scene and then later on a video camera at 503 00:30:30,160 --> 00:30:33,840 Speaker 1: a service station. But that's about it for that. Does 504 00:30:33,840 --> 00:30:35,719 Speaker 1: it feel a little eerie on the streets at night 505 00:30:35,760 --> 00:30:38,920 Speaker 1: there are people. Is it that level of anxiety still 506 00:30:38,960 --> 00:30:42,440 Speaker 1: or have things calmed down? You know, I live outside 507 00:30:42,480 --> 00:30:44,720 Speaker 1: of town. I don't go to town all that often, 508 00:30:44,840 --> 00:30:48,840 Speaker 1: so I can't really be to that well. So hopefully 509 00:30:48,840 --> 00:30:51,840 Speaker 1: the police I'll get a big break in this one soon. Anyway, Sam, 510 00:30:51,880 --> 00:30:53,560 Speaker 1: I know you called it about something else, So what 511 00:30:53,600 --> 00:30:56,520 Speaker 1: have you got on your mind? Yes, there's a series 512 00:30:56,600 --> 00:31:00,200 Speaker 1: I think you would like on Netflix called a Resurrections 513 00:31:00,400 --> 00:31:04,120 Speaker 1: about the early formation of the Ottoman Empire, the tournament 514 00:31:04,200 --> 00:31:09,720 Speaker 1: tribes coming together and finding finding the byzantines and templars 515 00:31:10,200 --> 00:31:13,120 Speaker 1: to the west and the Mongols sweeping in from the east. 516 00:31:13,760 --> 00:31:15,920 Speaker 1: I mean, that does sound right in my wheelhouse? Is it? 517 00:31:16,000 --> 00:31:19,960 Speaker 1: Is it? Dobb draws it in English? Kingdom? Is it 518 00:31:20,000 --> 00:31:24,920 Speaker 1: in English? Um? English subtitles, So it's in subtitles. It's 519 00:31:24,960 --> 00:31:28,360 Speaker 1: what I figured. Yeah. Usually usually you don't have an English, uh, 520 00:31:29,040 --> 00:31:32,040 Speaker 1: English made movie or movie made in English that has 521 00:31:32,040 --> 00:31:35,440 Speaker 1: the Ottomans as like the the the protagonists. Um, but 522 00:31:35,520 --> 00:31:39,760 Speaker 1: that'd be interesting for sure. I actually will check that out. 523 00:31:39,840 --> 00:31:42,360 Speaker 1: So thank you, thank you very much. Yeah, I love 524 00:31:42,400 --> 00:31:45,600 Speaker 1: the Last Kingdom. UM. Trying to think of right now, 525 00:31:45,800 --> 00:31:48,800 Speaker 1: I'm I'm reading a book on James Monroe that I 526 00:31:48,840 --> 00:31:51,880 Speaker 1: find pretty good. Um, I've read books on other other 527 00:31:52,480 --> 00:31:55,560 Speaker 1: Monroe is not really a founding father, but some people 528 00:31:55,600 --> 00:31:58,520 Speaker 1: start to say that he's, you know, should be an 529 00:31:58,560 --> 00:32:01,680 Speaker 1: a founding father age, I guess, but I'm reading a 530 00:32:01,720 --> 00:32:04,200 Speaker 1: book about Monroe. I don't have anything particularly good I'm 531 00:32:04,200 --> 00:32:08,200 Speaker 1: watching these days other than I have. There's also an 532 00:32:08,280 --> 00:32:13,360 Speaker 1: l I think there's a sort of a Spanish Elcid documentary, 533 00:32:14,560 --> 00:32:18,040 Speaker 1: a Spanish Elcid documentary that is not documentary, sorry, series 534 00:32:18,160 --> 00:32:22,120 Speaker 1: that's that's pretty good. So look, other countries are making 535 00:32:22,800 --> 00:32:26,960 Speaker 1: are making much better content than ever before, which is 536 00:32:26,960 --> 00:32:30,000 Speaker 1: a great thing, especially in the historical genre, because I 537 00:32:30,000 --> 00:32:33,480 Speaker 1: would love to see some really excellent productions that look 538 00:32:33,520 --> 00:32:35,520 Speaker 1: at you know, I've always thought, for example, if you're 539 00:32:35,520 --> 00:32:39,400 Speaker 1: looking for a biography that I bet very few of 540 00:32:39,440 --> 00:32:41,400 Speaker 1: you just because this wasn't that well known. There's some 541 00:32:41,440 --> 00:32:43,800 Speaker 1: biographies you bring up, oh, I've either read that one, 542 00:32:43,920 --> 00:32:47,640 Speaker 1: or you know, you'd bring up William Manchester's The Last 543 00:32:47,720 --> 00:32:51,960 Speaker 1: Lion about Winston Churchill, or William Manchester's American Caesar about 544 00:32:52,000 --> 00:32:57,240 Speaker 1: Douglas MacArthur. Two phenomenal biographies. Now, the Last Lion is 545 00:32:57,280 --> 00:32:59,960 Speaker 1: only one in a series of three, and the three 546 00:33:00,120 --> 00:33:03,440 Speaker 1: didn't really get finished, so it's really there's two. Anyway, 547 00:33:04,880 --> 00:33:07,440 Speaker 1: what was I talking about? I completely lost my train 548 00:33:07,480 --> 00:33:11,360 Speaker 1: of thought on what Oh uh, Sorry, that happens when 549 00:33:11,400 --> 00:33:15,640 Speaker 1: I'm talking books. I get too excited. The Peter the Great, 550 00:33:16,880 --> 00:33:21,480 Speaker 1: the Peter the Great biography written by Robert Massey is phenomenal, 551 00:33:21,880 --> 00:33:24,240 Speaker 1: and I think you could make a really interesting movie 552 00:33:24,240 --> 00:33:25,480 Speaker 1: to spell a lot of a lot of interest in 553 00:33:25,520 --> 00:33:27,800 Speaker 1: Russia these days. In general. You could make a really 554 00:33:27,800 --> 00:33:30,120 Speaker 1: interesting series on Peter the Great. But you know, for 555 00:33:30,560 --> 00:33:33,080 Speaker 1: American audience that might not happen, so you'd probably need 556 00:33:33,160 --> 00:33:36,120 Speaker 1: some other you know production studio, you know production with 557 00:33:36,160 --> 00:33:39,440 Speaker 1: like the BBC filming in Hungary or something. You might 558 00:33:39,480 --> 00:33:43,000 Speaker 1: be able to do do that. But that's an amazing 559 00:33:43,280 --> 00:33:45,760 Speaker 1: you know. The Swedes were badasses too. People forget this. 560 00:33:45,840 --> 00:33:49,520 Speaker 1: The Swedes were a military power. The Swiss. We think 561 00:33:49,560 --> 00:33:51,920 Speaker 1: of them now for their excellent watches in their chocolate, 562 00:33:51,960 --> 00:33:55,640 Speaker 1: but you go back into you know, the Renaissance period 563 00:33:55,800 --> 00:33:59,480 Speaker 1: and the people were hiring the Swiss as mercenaries all 564 00:33:59,480 --> 00:34:01,920 Speaker 1: over Europe. So you know, the things change you know, 565 00:34:02,160 --> 00:34:06,040 Speaker 1: things change, you're surprised. Let's see we have. By the way, 566 00:34:06,080 --> 00:34:09,239 Speaker 1: that Resurrection show actually looks pretty good. Thank you. Sam. 567 00:34:09,239 --> 00:34:12,600 Speaker 1: My team already pulled this one up. Kevin in Pennsylvania 568 00:34:12,680 --> 00:34:14,880 Speaker 1: says he was in Eagle Pass, Texas last year and 569 00:34:14,880 --> 00:34:18,000 Speaker 1: saw some interesting stuff. Kevin, what do you have for us? Yeah, 570 00:34:18,160 --> 00:34:20,839 Speaker 1: so last year an Eagle Pass you know, has spent 571 00:34:21,000 --> 00:34:24,960 Speaker 1: nine days down there with my family, and you know, 572 00:34:25,000 --> 00:34:27,920 Speaker 1: we had tough times finding hotels and things because of 573 00:34:27,960 --> 00:34:33,279 Speaker 1: all the law enforcement from other states like Florida and 574 00:34:33,440 --> 00:34:36,160 Speaker 1: North Dakota. You know, everybody looks at the cost of 575 00:34:36,160 --> 00:34:38,360 Speaker 1: all the immigrants coming over, but look at all the 576 00:34:39,120 --> 00:34:42,520 Speaker 1: money like Eagle Passes spending to try and keep their 577 00:34:43,120 --> 00:34:46,880 Speaker 1: city safe from all the illegals. You know, the border 578 00:34:47,200 --> 00:34:49,040 Speaker 1: wide open there. You know, I was down along the 579 00:34:49,239 --> 00:34:52,080 Speaker 1: river and I talked to some agents and I said, 580 00:34:52,120 --> 00:34:55,319 Speaker 1: you know, why are all the gates open? And don't 581 00:34:55,360 --> 00:35:00,640 Speaker 1: get me started, you know, the administration and so they 582 00:35:00,760 --> 00:35:03,560 Speaker 1: really eye opening experience that I think a lot of 583 00:35:03,560 --> 00:35:06,040 Speaker 1: people should see, you know, even make the President off 584 00:35:06,040 --> 00:35:08,440 Speaker 1: to go down there and take a look for himself. 585 00:35:08,920 --> 00:35:11,480 Speaker 1: You and I both know Biden's not going down anytime soon. 586 00:35:11,600 --> 00:35:14,279 Speaker 1: Thank you for calling in, Kevin, tell us what you 587 00:35:14,280 --> 00:35:16,520 Speaker 1: saw that an eagle pass. I mean, I tell people 588 00:35:16,560 --> 00:35:20,960 Speaker 1: this way. If you if you told me that I 589 00:35:21,040 --> 00:35:22,759 Speaker 1: had to run an experiment where I was going to 590 00:35:22,800 --> 00:35:26,400 Speaker 1: try to get into the US, not even as a surrender, 591 00:35:26,440 --> 00:35:29,239 Speaker 1: but as a got away. So if you just said, Buck, 592 00:35:29,280 --> 00:35:32,840 Speaker 1: I'm gonna drop you in, you know, drop me somewhere 593 00:35:32,960 --> 00:35:36,239 Speaker 1: in northern Mexico and say I want to see if 594 00:35:36,239 --> 00:35:39,879 Speaker 1: you can get into the United States illegally and make 595 00:35:39,920 --> 00:35:43,719 Speaker 1: it through border patrol, I would think. I mean, I'm 596 00:35:43,760 --> 00:35:45,440 Speaker 1: not as fleet of foot as I used to be 597 00:35:45,480 --> 00:35:48,520 Speaker 1: in my twenties, but I would think that I have 598 00:35:48,560 --> 00:35:51,600 Speaker 1: a ninety percent chance of getting into the country honestly, 599 00:35:52,280 --> 00:35:55,960 Speaker 1: just knowing the basics about how overstretched border patrol is, 600 00:35:56,400 --> 00:35:58,920 Speaker 1: what they're dealing with, what the tactics are that the 601 00:35:58,920 --> 00:36:00,960 Speaker 1: cartels use. Now, I might have to pay off the 602 00:36:01,000 --> 00:36:03,279 Speaker 1: cartel to do it, but I'm just saying that's how 603 00:36:03,320 --> 00:36:04,840 Speaker 1: easy it is to get into the country. Now, I 604 00:36:04,840 --> 00:36:06,799 Speaker 1: think nine out of ten times I would get through 605 00:36:07,080 --> 00:36:11,319 Speaker 1: as a gotaway, not even as a surrender. Um. I 606 00:36:11,440 --> 00:36:14,160 Speaker 1: promise Monday Tuesday, we'll have more holiday cheer for all 607 00:36:14,160 --> 00:36:15,640 Speaker 1: of you. I know we did a lot of news today, 608 00:36:15,640 --> 00:36:17,919 Speaker 1: but we had a lot of news happening today and 609 00:36:18,120 --> 00:36:19,640 Speaker 1: it's always an honor to get to hang out with 610 00:36:19,680 --> 00:36:22,040 Speaker 1: all of you. Thank you for joining in from across 611 00:36:22,080 --> 00:36:26,320 Speaker 1: the country. Try not to get too nostalgic and to 612 00:36:28,320 --> 00:36:30,240 Speaker 1: emote if you're at the mic. But as we're closing 613 00:36:30,320 --> 00:36:32,000 Speaker 1: up another year here on Clay and Buck, it is 614 00:36:32,080 --> 00:36:35,960 Speaker 1: such an honor to be in this role on this show, 615 00:36:36,000 --> 00:36:37,640 Speaker 1: co hosting it with Clay every day and going to 616 00:36:37,719 --> 00:36:40,000 Speaker 1: talk to all of you. There's such a fantastic audience 617 00:36:40,120 --> 00:36:43,480 Speaker 1: of amazing patriots, and we're really honored every day. I mean, 618 00:36:43,520 --> 00:36:45,560 Speaker 1: I feel very lucky to be able to do this 619 00:36:45,640 --> 00:36:48,160 Speaker 1: job and I bring everything I can to it. Clay 620 00:36:48,200 --> 00:36:51,560 Speaker 1: brings everything he can to it every single day. Back 621 00:36:51,560 --> 00:36:54,799 Speaker 1: with you on Monday, Have a fantastic weekend, everybody. Talk 622 00:36:54,840 --> 00:36:55,279 Speaker 1: to you soon.