1 00:00:00,400 --> 00:00:03,720 Speaker 1: Second hour of play and buck kicks off right now. 2 00:00:04,160 --> 00:00:08,799 Speaker 1: Kamala Harris out there actually campaigning, so I guess we've 3 00:00:08,800 --> 00:00:11,000 Speaker 1: got to give her credit for that. Or are appearing 4 00:00:12,080 --> 00:00:15,960 Speaker 1: in media talking to people, not just reading off of 5 00:00:16,079 --> 00:00:20,360 Speaker 1: glass in front of a pre selected crowd of people 6 00:00:20,520 --> 00:00:24,200 Speaker 1: told to applaud and cheer at the pre selected moments. 7 00:00:25,560 --> 00:00:28,760 Speaker 1: There's some interesting stuff that has come out in the 8 00:00:28,840 --> 00:00:31,360 Speaker 1: last twenty four hours. And one I will just say, 9 00:00:32,200 --> 00:00:36,720 Speaker 1: there's body camera footage of this so you can watch 10 00:00:36,760 --> 00:00:38,839 Speaker 1: the entire incident was just released now. This is from 11 00:00:38,960 --> 00:00:41,280 Speaker 1: I think September Clay is that when the incident happened. 12 00:00:41,760 --> 00:00:45,200 Speaker 1: I believe that's right. Yes, yeah, So oftentimes the body 13 00:00:45,200 --> 00:00:49,440 Speaker 1: camera footage of a police involved lethal force incident is 14 00:00:49,520 --> 00:00:53,040 Speaker 1: held for a period of time. The footage has come 15 00:00:53,040 --> 00:00:56,960 Speaker 1: out and it is of a police officer who is 16 00:00:57,160 --> 00:01:02,120 Speaker 1: Asian American making a wellness check or had conducting a 17 00:01:02,160 --> 00:01:07,640 Speaker 1: wellness check on a woman who is you can see 18 00:01:07,680 --> 00:01:11,160 Speaker 1: in the video she's emotionally disturbed. The NYPD parliance's call 19 00:01:11,200 --> 00:01:14,240 Speaker 1: it an edp and mostly disturbed person. He's there to 20 00:01:14,360 --> 00:01:16,360 Speaker 1: check on her, get her help and resources. Knocks on 21 00:01:16,440 --> 00:01:20,080 Speaker 1: the door she comes at the door very aggressively. Now 22 00:01:20,080 --> 00:01:23,520 Speaker 1: she is six foot six. She had previously been the 23 00:01:23,640 --> 00:01:28,800 Speaker 1: center on the Georgetown University women's basketball team. I think 24 00:01:28,800 --> 00:01:33,119 Speaker 1: that is also an important detail because when you're talking 25 00:01:33,160 --> 00:01:37,400 Speaker 1: about somebody's ability to harm you with any object, but 26 00:01:37,440 --> 00:01:39,880 Speaker 1: certainly a long looks kind of like a like a 27 00:01:39,880 --> 00:01:43,360 Speaker 1: butcher knife or a kitchen knife. Someone six foot six, 28 00:01:43,400 --> 00:01:45,800 Speaker 1: they have long reach, they have leverage. They can kill 29 00:01:45,840 --> 00:01:50,200 Speaker 1: you very very quickly. The officer is, you know, yelling 30 00:01:50,240 --> 00:01:51,600 Speaker 1: to put it down, put it down, put it down. 31 00:01:51,920 --> 00:01:56,480 Speaker 1: She doesn't gets He gets cut numerous times across the 32 00:01:56,520 --> 00:01:59,559 Speaker 1: face with this blade. You can see on the body 33 00:01:59,600 --> 00:02:03,760 Speaker 1: camera he is dripping blood. Okay, and he's shouting for 34 00:02:03,760 --> 00:02:05,320 Speaker 1: this woman that to drop that enough, and I understand 35 00:02:05,400 --> 00:02:09,760 Speaker 1: it's clearly having a psychotic episode. He pulls his firearm 36 00:02:10,120 --> 00:02:13,680 Speaker 1: and he shoots her and she dies. There are people, 37 00:02:14,000 --> 00:02:15,800 Speaker 1: since this video has come out, and I don't mean 38 00:02:15,840 --> 00:02:17,560 Speaker 1: a few, a lot of them who are trying to 39 00:02:17,560 --> 00:02:20,760 Speaker 1: make the case online that the officer did something wrong. 40 00:02:21,800 --> 00:02:26,320 Speaker 1: This is how completely insane the anti cop left and 41 00:02:26,400 --> 00:02:29,960 Speaker 1: the social justice left and the racial justice left. The 42 00:02:30,000 --> 00:02:33,480 Speaker 1: BLM remnants out there, if you will, the remnants of 43 00:02:33,520 --> 00:02:37,000 Speaker 1: the BLM movement has become that now the expectation is 44 00:02:37,040 --> 00:02:39,840 Speaker 1: that you might just have to get stabbed to death 45 00:02:40,160 --> 00:02:43,960 Speaker 1: if a person of color is having a psychotic break 46 00:02:43,960 --> 00:02:47,760 Speaker 1: and law enforcement shows up. This is the new standard 47 00:02:47,760 --> 00:02:49,800 Speaker 1: that the left seems to want to engage in. There 48 00:02:49,840 --> 00:02:52,120 Speaker 1: are all these people Clay who are saying, oh, well, 49 00:02:52,160 --> 00:02:55,040 Speaker 1: the officer could have used a taser, or why couldn't 50 00:02:55,040 --> 00:02:57,800 Speaker 1: the officer have done some jiu jitsu or something, or 51 00:02:57,800 --> 00:03:02,880 Speaker 1: what if a person is within the real standard they 52 00:03:02,880 --> 00:03:05,240 Speaker 1: tell us, and CIA is if you're coming from the draw, 53 00:03:05,280 --> 00:03:07,560 Speaker 1: which this officer was. He didn't he didn't knock on 54 00:03:07,639 --> 00:03:11,120 Speaker 1: the door with his firearm in his hands. If you're 55 00:03:11,160 --> 00:03:15,200 Speaker 1: coming out of the draw, it's basically twenty feet. If 56 00:03:15,240 --> 00:03:17,360 Speaker 1: a person is within twenty I think twenty one is 57 00:03:17,360 --> 00:03:19,760 Speaker 1: what they say, but twenty feet effectively, and they have 58 00:03:19,880 --> 00:03:24,280 Speaker 1: an edged weapon. Even by the time you draw and 59 00:03:24,320 --> 00:03:27,280 Speaker 1: you try to try to get target on the threat, 60 00:03:27,680 --> 00:03:30,440 Speaker 1: you were likely to get stabbed. This officer was stabbed 61 00:03:30,720 --> 00:03:33,880 Speaker 1: numerous times. He's dripping blood. He shoots this woman who 62 00:03:34,000 --> 00:03:38,560 Speaker 1: is trying to kill him. On video, it's clear you 63 00:03:38,600 --> 00:03:41,520 Speaker 1: can see the whole thing, and it's a horrible, violent, incident, 64 00:03:41,560 --> 00:03:43,480 Speaker 1: but you can see the whole thing, and there are 65 00:03:43,520 --> 00:03:47,800 Speaker 1: activists and left wing individuals and Democrats and Kamala voters 66 00:03:48,520 --> 00:03:50,840 Speaker 1: who are out there saying that the cop did something wrong. 67 00:03:50,880 --> 00:03:55,000 Speaker 1: I just think this is important context clay for where 68 00:03:55,040 --> 00:03:58,680 Speaker 1: the Democrat Party really is on this issue that they 69 00:03:58,720 --> 00:04:01,320 Speaker 1: will not check. I mean, people can say whatever, and 70 00:04:01,360 --> 00:04:04,040 Speaker 1: I understand there's always going to be fringe elements in 71 00:04:04,080 --> 00:04:07,040 Speaker 1: any politics that are going to get something wrong. They're 72 00:04:07,040 --> 00:04:09,760 Speaker 1: not going to condemn this. Why doesn't Kamala Harris put 73 00:04:09,760 --> 00:04:12,920 Speaker 1: out a statement of solidarity with the officer in this case, saying, 74 00:04:12,920 --> 00:04:15,360 Speaker 1: we've seen the body camera footage. The officer did nothing wrong. 75 00:04:15,400 --> 00:04:18,240 Speaker 1: He was defending himself. It's a tragic incident. It's no 76 00:04:18,279 --> 00:04:21,600 Speaker 1: one celebrating this. It's a tragic incident. But the cop 77 00:04:21,640 --> 00:04:25,960 Speaker 1: did nothing wrong. Democrat Party is antique cop and everybody 78 00:04:26,120 --> 00:04:27,080 Speaker 1: needs to remember it. 79 00:04:28,080 --> 00:04:33,120 Speaker 2: I got something to add here too. Georgetown Women's basketball 80 00:04:33,800 --> 00:04:39,160 Speaker 2: put out a tweet saying Georgetown Women's Basketball mourns the 81 00:04:39,240 --> 00:04:44,360 Speaker 2: tragic loss of Sidney Wilson, class of thirteen. Forever a 82 00:04:44,440 --> 00:04:49,440 Speaker 2: Hoya hashtag Hoya Saxa with a photo of her in 83 00:04:49,480 --> 00:04:53,840 Speaker 2: her uniform should a university send out a loss of 84 00:04:53,920 --> 00:05:00,279 Speaker 2: life message when your former player tried to murder an 85 00:05:00,279 --> 00:05:04,880 Speaker 2: innocent police officer. I mean, this is embarrassing for Georgetown University. 86 00:05:05,520 --> 00:05:08,920 Speaker 2: And I look, you and I both spent a lot 87 00:05:08,960 --> 00:05:13,560 Speaker 2: of time in DC. Georgetown is a fabulous location. It's beautiful. 88 00:05:13,600 --> 00:05:16,000 Speaker 2: I know people take shots at DC. We were just 89 00:05:16,040 --> 00:05:18,440 Speaker 2: talking about this with your dad at dinner recently. I mean, 90 00:05:18,480 --> 00:05:22,920 Speaker 2: it's a fabulous area. It's been historically a fantastic university. 91 00:05:23,000 --> 00:05:25,240 Speaker 2: But the idea that you would send this out from 92 00:05:25,279 --> 00:05:29,039 Speaker 2: an athletic department account is I think, frankly, an extreme 93 00:05:29,080 --> 00:05:34,159 Speaker 2: embarrassment to Georgetown University. Secondly, Buck and not connected to 94 00:05:34,240 --> 00:05:38,520 Speaker 2: this story directly, but I was reading the New York Post. 95 00:05:38,560 --> 00:05:40,640 Speaker 2: We were up in New York over the weekend, and 96 00:05:40,720 --> 00:05:43,279 Speaker 2: I screenshoted this in the In the New York Post, 97 00:05:44,279 --> 00:05:48,400 Speaker 2: there is a massive article. Uh, the number of NYPD 98 00:05:48,600 --> 00:05:53,360 Speaker 2: cops assaulted on the job has skyrocketed forty one percent 99 00:05:53,440 --> 00:05:58,200 Speaker 2: this year, and it's risen steeply for five consecutive years 100 00:05:58,640 --> 00:06:02,040 Speaker 2: in New York City. What is going on here? There's 101 00:06:02,080 --> 00:06:05,200 Speaker 2: a real war on cops. And when you say cops 102 00:06:05,200 --> 00:06:09,839 Speaker 2: are racist, cops are killing innocent black people. The response 103 00:06:09,880 --> 00:06:13,960 Speaker 2: there is not just that you're discrediting police, it's that 104 00:06:14,120 --> 00:06:18,560 Speaker 2: attacking and fighting with them is acceptable because they are 105 00:06:18,640 --> 00:06:23,080 Speaker 2: the bad guy. We are creating a culture that attacks police. 106 00:06:23,200 --> 00:06:27,080 Speaker 2: And also on this Georgetown story, Bucket, this is also 107 00:06:27,120 --> 00:06:30,159 Speaker 2: I think a sign of desperation. They're trying to find 108 00:06:30,200 --> 00:06:35,000 Speaker 2: another George Floyd because they're doing poorly with minority voters, 109 00:06:35,080 --> 00:06:38,480 Speaker 2: and they're trying to inflame racial tensions, and they wanted 110 00:06:38,480 --> 00:06:41,120 Speaker 2: to use this Sidney Wilson. If this cop didn't have 111 00:06:41,760 --> 00:06:45,000 Speaker 2: a body cam on, and if you couldn't see that 112 00:06:45,080 --> 00:06:47,520 Speaker 2: she had a big knife and she was running at him, 113 00:06:47,880 --> 00:06:49,440 Speaker 2: they would you know what they would have done. They 114 00:06:49,480 --> 00:06:51,600 Speaker 2: would have said, oh, he planted that knife. She never 115 00:06:51,640 --> 00:06:53,520 Speaker 2: had a knife, She was one hundred percent incident. Her 116 00:06:53,520 --> 00:06:55,599 Speaker 2: family would have come out and said she was not 117 00:06:55,680 --> 00:06:58,320 Speaker 2: a violent person, she never would have engaged in this way. 118 00:06:58,360 --> 00:07:00,320 Speaker 2: They're trying to cover it all up. That's what would 119 00:07:00,320 --> 00:07:00,640 Speaker 2: have done. 120 00:07:01,160 --> 00:07:05,719 Speaker 1: What body cameras have really done. And this is a 121 00:07:05,800 --> 00:07:08,520 Speaker 1: sensitive subject that a lot of people don't really want 122 00:07:08,560 --> 00:07:11,760 Speaker 1: to talk about, but body cameras for law enforcement have 123 00:07:12,720 --> 00:07:15,680 Speaker 1: saved at this point, just based on incidents that We've 124 00:07:15,720 --> 00:07:22,520 Speaker 1: all seen hundreds, if not thousands of cops from being maligned, 125 00:07:23,240 --> 00:07:28,280 Speaker 1: fired and probably imprisoned, yes for things they did not do, 126 00:07:28,840 --> 00:07:31,960 Speaker 1: because the Left loves to play this game of the 127 00:07:32,040 --> 00:07:34,760 Speaker 1: cops are usually the bad guys. Now usually, actually that's 128 00:07:34,800 --> 00:07:36,680 Speaker 1: not the case. In fact, ninety nine percent of the 129 00:07:36,680 --> 00:07:39,720 Speaker 1: time when cops have to do a use lethal force, 130 00:07:40,000 --> 00:07:44,080 Speaker 1: it is entirely justified. This is a textbook case of 131 00:07:44,280 --> 00:07:47,680 Speaker 1: justified lethal force. It could there is no such thing 132 00:07:47,760 --> 00:07:50,320 Speaker 1: as forget that he's even a cop. Any human being 133 00:07:50,320 --> 00:07:53,640 Speaker 1: would have been justified in shooting this woman. And again, 134 00:07:53,720 --> 00:07:57,160 Speaker 1: I understand she's having a psychotic Episode's you don't have 135 00:07:57,200 --> 00:07:59,520 Speaker 1: to die because somebody else is having a psychotic episode. 136 00:07:59,560 --> 00:08:01,680 Speaker 1: That's the big You have the right of self defense. 137 00:08:01,960 --> 00:08:05,720 Speaker 1: He did not initiate any violence or force. She came 138 00:08:05,800 --> 00:08:07,240 Speaker 1: at him. And I know for a lot of you, 139 00:08:07,240 --> 00:08:10,080 Speaker 1: you're like buck, But this is this is so obvious, 140 00:08:10,080 --> 00:08:11,880 Speaker 1: Like why are we even talking about it? Look a 141 00:08:12,120 --> 00:08:14,160 Speaker 1: look at the Georgetown statement, But look at what a 142 00:08:14,160 --> 00:08:16,720 Speaker 1: lot of the activists are saying online. They're trying to 143 00:08:16,760 --> 00:08:19,440 Speaker 1: make this a thing. They're trying to, to Clay's point, 144 00:08:19,640 --> 00:08:24,000 Speaker 1: create a last minute mobilization of particularly the black community. 145 00:08:24,400 --> 00:08:27,600 Speaker 1: And if even with all the facts as they are, 146 00:08:28,200 --> 00:08:30,960 Speaker 1: if you didn't have clear body camera footage, it would 147 00:08:30,960 --> 00:08:37,040 Speaker 1: be cop shot black woman during wellness check. And and 148 00:08:37,120 --> 00:08:38,960 Speaker 1: you know this was a murder. That that is what 149 00:08:39,000 --> 00:08:42,560 Speaker 1: they would be saying. The only reason that this cop, 150 00:08:42,600 --> 00:08:45,160 Speaker 1: who as I said, was dripping blood everywhere, I mean, 151 00:08:45,160 --> 00:08:48,120 Speaker 1: he got stabbed Numera was slashing at him with his knife. 152 00:08:48,520 --> 00:08:50,840 Speaker 1: The only reason that I'm CONFIDENTI well, first of all, 153 00:08:50,880 --> 00:08:53,760 Speaker 1: you got Governor young Kin in Virginia. Thank god, Okay, 154 00:08:53,800 --> 00:08:56,200 Speaker 1: you don't have some communist, lunatic governor at the top 155 00:08:56,280 --> 00:09:00,439 Speaker 1: of the law enforcement apparatus. You know, I mean, how 156 00:09:00,720 --> 00:09:04,160 Speaker 1: if this were Minnesota. Uh, you know, Minnesota loves to 157 00:09:04,200 --> 00:09:06,360 Speaker 1: throw their cops under the bus because the Democrat state 158 00:09:06,880 --> 00:09:10,280 Speaker 1: virgin with a Democrat governor Virginia, I think that it's 159 00:09:10,280 --> 00:09:13,600 Speaker 1: not going to get that high. But he is shown 160 00:09:13,760 --> 00:09:17,400 Speaker 1: to have acted entirely lawfully and reasonably, this this cop, 161 00:09:18,120 --> 00:09:21,280 Speaker 1: and thank Heaven's he had his body camera on or else, Clay, 162 00:09:21,280 --> 00:09:23,000 Speaker 1: you and I both know his life would be over, 163 00:09:23,240 --> 00:09:26,000 Speaker 1: his family would be in hiding because of all the 164 00:09:26,120 --> 00:09:30,160 Speaker 1: lunatic BLM supporters and all the Democrat voters who'ld be 165 00:09:30,160 --> 00:09:34,480 Speaker 1: threatening their lives over this totally, and it would be 166 00:09:34,520 --> 00:09:36,320 Speaker 1: interesting to talk and I know you have talked to 167 00:09:36,640 --> 00:09:40,439 Speaker 1: a lot of cops. It's more likely, i think, Buck, 168 00:09:40,600 --> 00:09:45,120 Speaker 1: that somebody loses their life because they don't engage in 169 00:09:45,240 --> 00:09:48,959 Speaker 1: protective act because they're worried about their life being ruined. 170 00:09:49,040 --> 00:09:52,679 Speaker 2: If they're wrong, then it is that somebody engaged is 171 00:09:52,720 --> 00:09:58,200 Speaker 2: in wrong behavior. But the bodycam is the ultimate truth teller, 172 00:09:59,000 --> 00:10:02,160 Speaker 2: and as well as long as it's on, there is 173 00:10:02,200 --> 00:10:06,120 Speaker 2: an opportunity for everyone to experience what it's actually like 174 00:10:06,320 --> 00:10:09,319 Speaker 2: in real time to try to be a police officer 175 00:10:09,360 --> 00:10:11,440 Speaker 2: in this country, and it's a really hard job. And 176 00:10:11,520 --> 00:10:14,320 Speaker 2: when you this is why I've had this conversation with 177 00:10:14,360 --> 00:10:16,040 Speaker 2: my kids. I would encourage all of you to have 178 00:10:16,080 --> 00:10:19,120 Speaker 2: this conversation with your kids. I'm speaking as a lawyer now. 179 00:10:19,679 --> 00:10:23,520 Speaker 2: If a police officer engages in behavior that you believe 180 00:10:23,600 --> 00:10:28,360 Speaker 2: is unlawful, the best thing to do is comply still 181 00:10:29,200 --> 00:10:33,000 Speaker 2: and prepare to have a legal process going forward. Because 182 00:10:33,280 --> 00:10:35,360 Speaker 2: almost all these situations buck when you go back and 183 00:10:35,360 --> 00:10:38,320 Speaker 2: look at them, If the initial person who stopped had 184 00:10:38,480 --> 00:10:41,679 Speaker 2: just complied with the officer requests, there would be no 185 00:10:41,960 --> 00:10:44,800 Speaker 2: escalation of violence. I'm not saying that every police officer 186 00:10:44,840 --> 00:10:48,080 Speaker 2: behaves constitutionally. I'm not saying that every police officer is perfect. 187 00:10:48,080 --> 00:10:51,040 Speaker 2: None of us are perfect at our jobs. But when 188 00:10:51,080 --> 00:10:55,080 Speaker 2: you have people believing that police officers are fundamentally racist 189 00:10:55,160 --> 00:10:57,920 Speaker 2: and allied against them, you get what's happening in New 190 00:10:58,000 --> 00:11:00,280 Speaker 2: York City, which is a skyrocket which I've that is 191 00:11:00,320 --> 00:11:03,920 Speaker 2: reflected all over the country of people attacking police officers, 192 00:11:04,040 --> 00:11:09,520 Speaker 2: which creates more violent situations and more unnecessary deaths than 193 00:11:09,559 --> 00:11:12,040 Speaker 2: would occur if you just complied with the commands of 194 00:11:12,040 --> 00:11:12,760 Speaker 2: a police officer. 195 00:11:13,040 --> 00:11:15,600 Speaker 1: And there's the compliance issue, there's also it has become 196 00:11:15,800 --> 00:11:18,000 Speaker 1: and I think a lot of it is from these 197 00:11:19,080 --> 00:11:22,640 Speaker 1: sharing of these videos on social media where they jump 198 00:11:22,720 --> 00:11:24,840 Speaker 1: right to when the officer has to wrestle somebody to 199 00:11:24,880 --> 00:11:26,920 Speaker 1: the ground or the officer has to use some degree 200 00:11:26,920 --> 00:11:31,320 Speaker 1: of force because of non compliance. It has become very 201 00:11:32,240 --> 00:11:35,360 Speaker 1: much more acceptable, I think, in some quarters and in 202 00:11:35,400 --> 00:11:38,840 Speaker 1: some communities for people to just say no, I'm not 203 00:11:39,080 --> 00:11:41,720 Speaker 1: I'm not getting arrested today, or no, I'm not complying 204 00:11:41,760 --> 00:11:45,720 Speaker 1: today with a lawful order. And you know, if cops 205 00:11:45,800 --> 00:11:48,959 Speaker 1: don't have the ability to put their hands on you 206 00:11:49,040 --> 00:11:51,400 Speaker 1: and put you in cuffs when you have broken the 207 00:11:51,480 --> 00:11:54,920 Speaker 1: law just because you say no, then we have no law. 208 00:11:55,040 --> 00:11:57,120 Speaker 1: Then the whole then the whole thing falls apart. And 209 00:11:57,120 --> 00:12:00,560 Speaker 1: this is where a lot of I think the the 210 00:12:00,559 --> 00:12:04,840 Speaker 1: stuff that you see online is just making the whole 211 00:12:04,880 --> 00:12:08,320 Speaker 1: situation much worse, which is people act like, why is 212 00:12:08,360 --> 00:12:11,480 Speaker 1: the cop doing this, like it's just a matter of 213 00:12:11,559 --> 00:12:13,000 Speaker 1: and then they put in you know, they fill in 214 00:12:13,040 --> 00:12:15,680 Speaker 1: the blank because the person says, I'm not going to 215 00:12:15,679 --> 00:12:18,240 Speaker 1: comply with the authority vested in this officer by the 216 00:12:18,280 --> 00:12:20,880 Speaker 1: state to enforce the law. And you know what I'm saying, Like, 217 00:12:21,120 --> 00:12:22,719 Speaker 1: you know, people could show up and my door too 218 00:12:22,760 --> 00:12:25,480 Speaker 1: say sir, you're under arrest, and I go, no, no, 219 00:12:25,600 --> 00:12:29,560 Speaker 1: I'm not. Well, well what happens then you know, they 220 00:12:29,920 --> 00:12:33,040 Speaker 1: can either grab me and handcuff me and take me 221 00:12:33,080 --> 00:12:36,280 Speaker 1: in for processing, or I'm above the law. And there 222 00:12:36,280 --> 00:12:37,720 Speaker 1: are a lot of people that you see in these 223 00:12:37,720 --> 00:12:41,320 Speaker 1: exchanges who just think, no, sorry, not getting arrested today. 224 00:12:42,240 --> 00:12:44,080 Speaker 1: And that, by the way, that happened with Eric Garner 225 00:12:44,120 --> 00:12:45,680 Speaker 1: who got put in a choke hold. He was just like, no, 226 00:12:45,720 --> 00:12:48,079 Speaker 1: I'm not getting arrested today. And I know it was 227 00:12:48,400 --> 00:12:49,000 Speaker 1: a thing. 228 00:12:49,480 --> 00:12:52,240 Speaker 2: Well, the whole George Floyd story Buck, if you go 229 00:12:52,360 --> 00:12:54,760 Speaker 2: back and look at it, if he had just complied, 230 00:12:55,760 --> 00:12:59,680 Speaker 2: he was passing a counterfeit bill, he was high on drugs. 231 00:12:59,840 --> 00:13:04,360 Speaker 2: I still believe that he wasn't killed by the police officer. 232 00:13:04,559 --> 00:13:07,440 Speaker 2: I mean, I think there's certainly reasonable doubt as to 233 00:13:07,520 --> 00:13:13,320 Speaker 2: whether or not the police officer's action killed him. The 234 00:13:13,440 --> 00:13:16,440 Speaker 2: whole story, by and large, when you actually break it down, 235 00:13:16,480 --> 00:13:21,720 Speaker 2: moment by moment, is a complete fiction in the way 236 00:13:21,720 --> 00:13:23,559 Speaker 2: that it was portrayed to the vast majority of the 237 00:13:23,600 --> 00:13:24,400 Speaker 2: American public. 238 00:13:24,880 --> 00:13:27,120 Speaker 1: I think Officer I think Officer Chauvin did not get 239 00:13:27,160 --> 00:13:29,320 Speaker 1: a fair trial. I think there was not justice in 240 00:13:29,360 --> 00:13:32,280 Speaker 1: that situation. And I disagree with people that freak out 241 00:13:32,320 --> 00:13:35,640 Speaker 1: at me when I say this. I simply when they say, like, well, 242 00:13:35,679 --> 00:13:39,600 Speaker 1: he was he was asphyxiated for nine minutes. How many 243 00:13:39,600 --> 00:13:41,839 Speaker 1: people in the audience have done jiu jitsu? How many 244 00:13:41,880 --> 00:13:44,160 Speaker 1: of you know how long does it take if you're 245 00:13:44,160 --> 00:13:47,199 Speaker 1: actually cutting off someone's airway for them to pass out 246 00:13:47,240 --> 00:13:51,960 Speaker 1: from that? It's not nine minutes. Everybody much faster than that. Okay, 247 00:13:52,200 --> 00:13:56,440 Speaker 1: he wasn't trying to asphyxiate anybody. The guy had a 248 00:13:56,520 --> 00:13:59,360 Speaker 1: lethal dose of fentanel. George Floyd lethal dose of fentanel 249 00:13:59,400 --> 00:14:02,840 Speaker 1: in his system and his heart gave out and he 250 00:14:03,000 --> 00:14:07,160 Speaker 1: was in effectively a panic and completely freaking out from 251 00:14:07,200 --> 00:14:09,000 Speaker 1: the very beginning of when the officseas said he couldn't 252 00:14:09,000 --> 00:14:10,400 Speaker 1: breathe in the car, he said there were a lot 253 00:14:10,440 --> 00:14:12,240 Speaker 1: of times where he said he couldn't breathe. My point 254 00:14:12,280 --> 00:14:16,560 Speaker 1: here is just play. This is the lack of context understanding. 255 00:14:16,559 --> 00:14:19,080 Speaker 1: This is why our friend Ryan Gerdusky went on CNN, 256 00:14:19,400 --> 00:14:21,760 Speaker 1: this is viral. We had that clip. We should grab you. 257 00:14:21,800 --> 00:14:24,040 Speaker 1: I want to come back to give credit to him. Yeah, yeah, 258 00:14:24,400 --> 00:14:28,160 Speaker 1: Ryan's Ryan's doing great work over at CNN explaining to 259 00:14:28,320 --> 00:14:30,560 Speaker 1: the libs what's really going on. 260 00:14:31,280 --> 00:14:33,920 Speaker 2: Look, Christmas came early at the end of September. If 261 00:14:33,960 --> 00:14:37,920 Speaker 2: you're an iPhone fan, cell phone companies love iPhone release 262 00:14:38,040 --> 00:14:40,040 Speaker 2: dates because it gives them a new chance to offer 263 00:14:40,120 --> 00:14:43,320 Speaker 2: deals like free iPhone. But there's a catch. You sign 264 00:14:43,400 --> 00:14:46,480 Speaker 2: your life away in those contracts for two or three years. 265 00:14:46,520 --> 00:14:49,760 Speaker 2: Pure Talks a cell phone company my family relies on, 266 00:14:49,880 --> 00:14:52,360 Speaker 2: and it doesn't do that. They offer you great savings 267 00:14:52,360 --> 00:14:55,840 Speaker 2: on the new iPhone sixteen and you can still get 268 00:14:55,880 --> 00:14:58,720 Speaker 2: affordable cell phone plans that fit your data needs. To 269 00:14:59,000 --> 00:15:01,920 Speaker 2: switch to pure Talk, get a plan for just twenty 270 00:15:01,960 --> 00:15:05,160 Speaker 2: five dollars a month unlimited talk text, five gigs of 271 00:15:05,240 --> 00:15:09,240 Speaker 2: data more than enough out there, plus a mobile hotspot 272 00:15:09,240 --> 00:15:12,800 Speaker 2: from Puretalk. Dial pound two fifty say the keywords Clay 273 00:15:12,840 --> 00:15:16,320 Speaker 2: and Buck, and Puretalk's US customer service team will make 274 00:15:16,360 --> 00:15:20,280 Speaker 2: switching easy for you. No contracts, no activation fees. You 275 00:15:20,320 --> 00:15:23,560 Speaker 2: can even keep your same phone and your same phone number. 276 00:15:23,920 --> 00:15:25,880 Speaker 2: All you have to do to save a bundle on 277 00:15:25,920 --> 00:15:29,480 Speaker 2: your cell phone plan dial pound two five zero say 278 00:15:29,560 --> 00:15:32,800 Speaker 2: Clay and Buck, and you get an additional fifty percent 279 00:15:32,960 --> 00:15:36,560 Speaker 2: off your first month with Puretalk. That's pound two five 280 00:15:36,640 --> 00:15:38,400 Speaker 2: zero say Clay and Buck. 281 00:15:39,160 --> 00:15:44,720 Speaker 3: Two guys walk up to a mic Hey, anything goes Clay, 282 00:15:44,800 --> 00:15:49,160 Speaker 3: Travis and Fuck Sexton. Find them on the free iHeartRadio 283 00:15:49,200 --> 00:15:51,720 Speaker 3: app or wherever you get your podcasts. 284 00:15:52,160 --> 00:15:56,640 Speaker 2: Welcome back in Clay Travis, Buck Sexton show. CNN trying 285 00:15:56,680 --> 00:15:59,760 Speaker 2: to figure out what its identity is going forward. Fox 286 00:15:59,800 --> 00:16:02,720 Speaker 2: New US by far the biggest cable news channel, MSNBC 287 00:16:02,960 --> 00:16:07,520 Speaker 2: has diehard lesbian viewers and out there right now. CNN 288 00:16:07,600 --> 00:16:10,400 Speaker 2: is now maybe trying to decide that they want to 289 00:16:10,440 --> 00:16:14,000 Speaker 2: actually appeal to people who want to see debate topics 290 00:16:14,000 --> 00:16:16,720 Speaker 2: truly debated. And our friend Ryan gardesk you we've had 291 00:16:16,720 --> 00:16:19,840 Speaker 2: on the program, went on and schooled a lot of 292 00:16:19,880 --> 00:16:20,880 Speaker 2: CNN panelists. 293 00:16:20,920 --> 00:16:22,520 Speaker 1: Here is that cut twenty nine. 294 00:16:22,680 --> 00:16:25,200 Speaker 4: The post George Floyd riots resulted in excess of over 295 00:16:25,240 --> 00:16:30,560 Speaker 4: fifteen thousand blackmail deaths in this country. How the surge 296 00:16:30,560 --> 00:16:33,000 Speaker 4: of violent crime. It was like Ferguson the first effect 297 00:16:33,120 --> 00:16:35,920 Speaker 4: in the Florida Fact. You can explain to me how 298 00:16:35,960 --> 00:16:40,400 Speaker 4: George Floyd's death causation. Yes, really are what it happen, 299 00:16:40,480 --> 00:16:43,880 Speaker 4: says After the Ferguson riot and after the Floyd riot, policemen, 300 00:16:44,200 --> 00:16:47,520 Speaker 4: in fear of their jobs, many times in political coverage, 301 00:16:47,720 --> 00:16:51,240 Speaker 4: pulled back from their jobs, resulting in an increasing. 302 00:16:51,160 --> 00:16:53,000 Speaker 1: Listen, I got to stop you there at the country. 303 00:16:53,200 --> 00:16:55,000 Speaker 1: Hold on, you can look at the We got to 304 00:16:55,000 --> 00:16:57,880 Speaker 1: stop you there because you're literally making a connection out 305 00:16:57,920 --> 00:16:59,520 Speaker 1: of your own conjecture. You cannot. 306 00:16:59,520 --> 00:17:01,840 Speaker 4: It's a real look up the Ferguson effect, look up 307 00:17:01,840 --> 00:17:02,440 Speaker 4: the Floyd effect. 308 00:17:02,440 --> 00:17:05,760 Speaker 1: It is a real terms. I didn't. 309 00:17:07,640 --> 00:17:08,600 Speaker 5: Between two things. 310 00:17:09,760 --> 00:17:11,720 Speaker 1: I'm having more flashbacks here. 311 00:17:11,640 --> 00:17:15,399 Speaker 6: To let him speak, Let him speak, Let him at 312 00:17:15,480 --> 00:17:18,720 Speaker 6: least finish his point. It's so annoying when these TV 313 00:17:18,920 --> 00:17:22,240 Speaker 6: pundits do not let somebody finish what they're saying, is clay. 314 00:17:22,280 --> 00:17:25,960 Speaker 6: His point is is obvious, which is that BLM riots 315 00:17:26,240 --> 00:17:28,680 Speaker 6: led to de policing, which led to more people dying, 316 00:17:28,720 --> 00:17:30,680 Speaker 6: particularly more young black men dying. 317 00:17:31,640 --> 00:17:32,600 Speaker 1: That's all correct. 318 00:17:33,200 --> 00:17:36,440 Speaker 2: The fact that they don't even know anything about it 319 00:17:36,480 --> 00:17:38,600 Speaker 2: is evidence of how you know, we make fun of 320 00:17:38,640 --> 00:17:41,280 Speaker 2: you watching Morning Joe. I read the New York Times, 321 00:17:41,320 --> 00:17:45,160 Speaker 2: the Washington Post. We know their arguments as well or 322 00:17:45,200 --> 00:17:49,400 Speaker 2: better than they do. They don't know our arguments at all. 323 00:17:49,960 --> 00:17:54,239 Speaker 2: They have no exposure to a key cardinal aspect of 324 00:17:54,280 --> 00:17:55,959 Speaker 2: the results of the BLM riots. 325 00:17:57,200 --> 00:17:59,880 Speaker 1: It's true. Uh, to my fellow gun owners out there, 326 00:18:00,440 --> 00:18:02,080 Speaker 1: you want to improve your shooting. I'm going to the 327 00:18:02,119 --> 00:18:04,040 Speaker 1: range this weekend. Actually my brother had to remind me. 328 00:18:04,080 --> 00:18:05,560 Speaker 1: I thought it was next week and no, No, We're going 329 00:18:05,600 --> 00:18:08,040 Speaker 1: this week and whole range day taking stuff out there. 330 00:18:08,040 --> 00:18:10,600 Speaker 1: Gonna be trying to get dialed in, trying to improve 331 00:18:10,600 --> 00:18:13,560 Speaker 1: our skills a little bit. Want to be proficient two 332 00:18:13,640 --> 00:18:17,399 Speaker 1: A guys, and Mantis X is so helpful in that process. 333 00:18:17,400 --> 00:18:20,840 Speaker 1: I've got the system here at home, dry fire training 334 00:18:21,240 --> 00:18:25,200 Speaker 1: that works so well that ninety four percent of manusx 335 00:18:25,600 --> 00:18:28,760 Speaker 1: users see improvement in their shot within twenty minutes the 336 00:18:28,760 --> 00:18:31,160 Speaker 1: first time they use it. You want that trigger poll 337 00:18:31,240 --> 00:18:33,199 Speaker 1: to be smooth, you want that trigger poll to be 338 00:18:33,240 --> 00:18:36,120 Speaker 1: front to back. This will help you when you get 339 00:18:36,160 --> 00:18:39,600 Speaker 1: the range. You'll be putting those rounds on target in 340 00:18:39,720 --> 00:18:43,440 Speaker 1: such a close grouping thanks to mantis x. It's amazing, 341 00:18:43,600 --> 00:18:47,359 Speaker 1: military grade technology at an affordable price. Get yours today. 342 00:18:47,400 --> 00:18:50,640 Speaker 1: You'll be amazed at how much your shooting improves. Mantisx 343 00:18:50,640 --> 00:18:56,399 Speaker 1: dot com. That's MA and TISX mantisx dot com. Welcome 344 00:18:56,400 --> 00:19:01,600 Speaker 1: back into clay Ann buck Show. The CBS debate which 345 00:19:01,680 --> 00:19:07,080 Speaker 1: which was an example of very biased moderation and as 346 00:19:07,119 --> 00:19:08,720 Speaker 1: we pointed out with the jd Vance thing, I don't 347 00:19:08,720 --> 00:19:10,680 Speaker 1: want to hear anymore. If you're complaining about the refs, 348 00:19:10,680 --> 00:19:17,560 Speaker 1: you're losing. That's not true. Jd Vance absolutely destroyed his opponent, 349 00:19:17,720 --> 00:19:20,840 Speaker 1: and the refs there were I thought not good, but 350 00:19:20,960 --> 00:19:25,399 Speaker 1: the refs, the CBS refs were really bad. It was 351 00:19:25,480 --> 00:19:28,040 Speaker 1: posed I don't remember their names, but the two CBS 352 00:19:28,119 --> 00:19:30,639 Speaker 1: ladies who were pushing Trump on the crime issue and 353 00:19:30,680 --> 00:19:31,480 Speaker 1: everything else. 354 00:19:31,280 --> 00:19:35,080 Speaker 2: Well, CBS was the two with JD Vans, right, Margaret 355 00:19:35,200 --> 00:19:39,440 Speaker 2: Sarnen and whatever her other name was, ABC was Mure 356 00:19:39,720 --> 00:19:43,320 Speaker 2: and Christine or whatever name. 357 00:19:43,920 --> 00:19:47,399 Speaker 1: They were both bad. So they were both bad. Mure, 358 00:19:48,040 --> 00:19:51,760 Speaker 1: you know, was horrible, but Brennan and whatever at CBS 359 00:19:51,840 --> 00:19:54,040 Speaker 1: and the Jdvans. My point is merely that even with 360 00:19:54,160 --> 00:19:56,879 Speaker 1: bias moderators JD one. Sorry, I know all these debates 361 00:19:56,920 --> 00:19:59,440 Speaker 1: are running together my mind, but there was an issue 362 00:19:59,440 --> 00:20:01,720 Speaker 1: about crime, and this matters to the whole campaign. This 363 00:20:01,840 --> 00:20:05,119 Speaker 1: matters for who people will be voting for because it 364 00:20:05,240 --> 00:20:08,159 Speaker 1: goes to the overall philosophy of the parties that has 365 00:20:08,200 --> 00:20:10,080 Speaker 1: an effect, yes at the federal level, but also a 366 00:20:10,160 --> 00:20:13,280 Speaker 1: state and local too. Democrats are bad on the issue 367 00:20:13,320 --> 00:20:16,080 Speaker 1: of crime because the Democrat Party is bad on the 368 00:20:16,160 --> 00:20:19,320 Speaker 1: issue of crime. They are as close to pro crime 369 00:20:19,440 --> 00:20:22,560 Speaker 1: as I think a party could be without openly saying it. 370 00:20:23,160 --> 00:20:25,399 Speaker 1: Clay just came and visited me in New or I 371 00:20:25,440 --> 00:20:27,880 Speaker 1: don't live there anymore, but visited my old stomping ground 372 00:20:27,920 --> 00:20:31,760 Speaker 1: in New York and saw everything in the drug store 373 00:20:31,840 --> 00:20:32,879 Speaker 1: is behind us. 374 00:20:33,119 --> 00:20:35,919 Speaker 2: I couldn't believe that, and I couldn't believe to get 375 00:20:36,000 --> 00:20:38,520 Speaker 2: toothpaste you have to have somebody come around and unlock 376 00:20:38,600 --> 00:20:38,960 Speaker 2: it for you. 377 00:20:39,240 --> 00:20:41,480 Speaker 1: Yeah. And if I've talked to the staff in this 378 00:20:41,680 --> 00:20:43,840 Speaker 1: because this was my drug store, so I know some 379 00:20:43,880 --> 00:20:45,320 Speaker 1: of the people who work there. I've talked to them 380 00:20:45,359 --> 00:20:47,240 Speaker 1: before and they say, yeah, if we don't have this, 381 00:20:47,320 --> 00:20:49,240 Speaker 1: they'll just steal every They'll just come in and steal everything. 382 00:20:49,320 --> 00:20:51,800 Speaker 1: Like people just come in with bags and just steal 383 00:20:51,880 --> 00:20:53,520 Speaker 1: stuff and then they sell it on the street or 384 00:20:53,560 --> 00:20:56,600 Speaker 1: they sell it online. Anyway. The Democrats are the pro 385 00:20:56,720 --> 00:21:00,920 Speaker 1: crime party. Kamala Harris was part of the leagueizing theft 386 00:21:01,040 --> 00:21:04,000 Speaker 1: up to nine hundred dollars madness in California, and as 387 00:21:04,080 --> 00:21:07,359 Speaker 1: business owners have pointed out, that just means theft is legalized, 388 00:21:07,440 --> 00:21:10,959 Speaker 1: because who knows when someone's stealing from you. You're not like, hey, 389 00:21:11,000 --> 00:21:13,639 Speaker 1: hold on a second, that's nine hundred and fifty dollars 390 00:21:13,680 --> 00:21:16,160 Speaker 1: of stuff. I'm calling the cops. You know, you just figure, okay, 391 00:21:16,240 --> 00:21:19,440 Speaker 1: well nothing's gonna happen, and nothing will happen. It's a disaster. 392 00:21:19,680 --> 00:21:25,399 Speaker 1: It's wrong. But when Trump got into it with the 393 00:21:26,680 --> 00:21:30,919 Speaker 1: moderators over the issue of crime and the dropping crime right, 394 00:21:30,960 --> 00:21:32,600 Speaker 1: it was is this Trump or jd Vance? 395 00:21:32,640 --> 00:21:35,200 Speaker 2: Now I'm getting no. Trump got into it David muirror. 396 00:21:35,480 --> 00:21:38,000 Speaker 2: David Muir Trump said, look, crime is up. It's all 397 00:21:38,080 --> 00:21:41,320 Speaker 2: sorts of an issue. And David muirr. This was I 398 00:21:41,480 --> 00:21:45,159 Speaker 2: believe the second fact check, the first fact check if 399 00:21:45,200 --> 00:21:47,400 Speaker 2: I remember correctly, and it's been you know, two months 400 00:21:47,520 --> 00:21:50,680 Speaker 2: basically or six weeks since this happened. First fact check 401 00:21:50,840 --> 00:21:54,560 Speaker 2: I recall was Kristen Welker, and I may be getting 402 00:21:54,560 --> 00:21:57,879 Speaker 2: her name wrong, stepping in and saying about abortion that 403 00:21:58,040 --> 00:22:01,240 Speaker 2: doesn't happen. Basically, there're no bay, there's nowhere where nine 404 00:22:01,280 --> 00:22:04,400 Speaker 2: month abortions are allowed, or postperth abortions or whatever else. 405 00:22:04,720 --> 00:22:07,480 Speaker 2: And then this I believe was David Muhr getting in 406 00:22:07,600 --> 00:22:09,840 Speaker 2: on the act as well, Buck and deciding I'm going 407 00:22:09,920 --> 00:22:12,080 Speaker 2: to step in as the news anchor in fact check 408 00:22:12,200 --> 00:22:12,840 Speaker 2: Donald Trump. 409 00:22:13,800 --> 00:22:16,760 Speaker 5: Crime is down all over the world except here. Crime 410 00:22:16,840 --> 00:22:20,000 Speaker 5: here is up and through the roof. Despite their fraudulent 411 00:22:20,080 --> 00:22:23,160 Speaker 5: statements that they've made, crime in this country is through 412 00:22:23,240 --> 00:22:25,200 Speaker 5: the roof. And we have a new form of crime 413 00:22:25,320 --> 00:22:29,000 Speaker 5: is called migrant crime, and it's happening at levels that nobody. 414 00:22:28,760 --> 00:22:29,920 Speaker 4: Thought Reident Trump. 415 00:22:29,960 --> 00:22:32,600 Speaker 5: As you know, the FBI says overall violent crime is 416 00:22:32,600 --> 00:22:34,720 Speaker 5: actually coming down in this country. But excuse me. The 417 00:22:34,880 --> 00:22:38,760 Speaker 5: FBI defraud They were defrauding statements. They didn't include the 418 00:22:38,840 --> 00:22:42,399 Speaker 5: worst cities. They didn't include the cities with the worst crime. 419 00:22:43,240 --> 00:22:47,160 Speaker 1: Can I just say Trump is correct, This is actually 420 00:22:47,280 --> 00:22:51,480 Speaker 1: now verified and the numbers have been crunched to really 421 00:22:51,520 --> 00:22:52,960 Speaker 1: put this in the context. You know, we're just talking 422 00:22:53,040 --> 00:22:57,240 Speaker 1: clay about what the BLM riots did to policing and 423 00:22:57,400 --> 00:23:01,320 Speaker 1: therefore high crime communities and the murder rate in this country. 424 00:23:01,480 --> 00:23:05,359 Speaker 1: Senate skyrocketing. The biggest increase in this They say, oh, well, 425 00:23:05,400 --> 00:23:08,639 Speaker 1: Trump was president. It was a Democrat movement supported not 426 00:23:08,840 --> 00:23:13,479 Speaker 1: just theoretically but supported directly by Kamala Harris for example, 427 00:23:13,520 --> 00:23:16,600 Speaker 1: who was raising money. They burned down parts of Minneapolis. 428 00:23:16,680 --> 00:23:18,960 Speaker 1: Kamala Harris wants to help raise money for those people 429 00:23:19,000 --> 00:23:21,320 Speaker 1: on bail. Think about that for a second. You think 430 00:23:21,359 --> 00:23:23,720 Speaker 1: this person should be president of the United States. The 431 00:23:23,800 --> 00:23:27,760 Speaker 1: whole thing is insane. But the biggest increase in crime 432 00:23:27,880 --> 00:23:31,320 Speaker 1: thanks to Democrats and their mobilization and their lives about 433 00:23:31,400 --> 00:23:33,879 Speaker 1: police and policing in the history of the country in 434 00:23:33,960 --> 00:23:36,920 Speaker 1: twenty twenty, right in a six month period. But you 435 00:23:37,080 --> 00:23:40,840 Speaker 1: can extend that through the first year of Biden's term 436 00:23:41,760 --> 00:23:45,320 Speaker 1: and the second year of Biden's term, and you still 437 00:23:45,440 --> 00:23:49,760 Speaker 1: have it going upward. The FBI revised crime data reveals 438 00:23:49,800 --> 00:23:53,320 Speaker 1: that it missed one thousand, six hundred and ninety nine 439 00:23:53,440 --> 00:23:54,760 Speaker 1: murders in twenty twenty two. 440 00:23:55,359 --> 00:23:58,400 Speaker 2: Let me just pause you for a moment here. That's important. 441 00:23:58,800 --> 00:24:02,440 Speaker 2: I understand how crime data can be somewhat unreliable with 442 00:24:02,680 --> 00:24:08,000 Speaker 2: carjackings or with home burglaries, things that are relatively on 443 00:24:08,160 --> 00:24:12,160 Speaker 2: the grand scale of things smaller in nature. A murder 444 00:24:12,280 --> 00:24:14,800 Speaker 2: doesn't seem that hard to meet a track, Buck, they 445 00:24:14,880 --> 00:24:19,640 Speaker 2: missed almost seventeen hundred of them, and eighty thousand violent 446 00:24:19,800 --> 00:24:23,840 Speaker 2: crimes overall. I mean, this is and they tried to 447 00:24:23,920 --> 00:24:27,000 Speaker 2: hide this is also important. They updated these stats and 448 00:24:27,119 --> 00:24:30,640 Speaker 2: tried to hide it. Credit to Real Clear Politics, which 449 00:24:30,720 --> 00:24:33,920 Speaker 2: is a great website. They got tipped off or saw 450 00:24:34,080 --> 00:24:37,040 Speaker 2: the note in the data and then went back and looked, 451 00:24:37,200 --> 00:24:39,920 Speaker 2: and they said, wait a minute, crimes actually up, bait, 452 00:24:40,000 --> 00:24:42,080 Speaker 2: And I don't even think this data is that reliable. 453 00:24:43,320 --> 00:24:46,720 Speaker 2: People know when crime is up in their communities. Buck, 454 00:24:47,040 --> 00:24:49,520 Speaker 2: You all know that crime is up in your cities 455 00:24:49,640 --> 00:24:50,560 Speaker 2: and in your towns. 456 00:24:50,640 --> 00:24:51,320 Speaker 1: You can feel it. 457 00:24:51,840 --> 00:24:54,080 Speaker 2: And then the fact that they tried to lie and 458 00:24:54,240 --> 00:24:56,840 Speaker 2: say it in fact check. It is just evidence of 459 00:24:57,080 --> 00:25:01,520 Speaker 2: how many of our media members are a complete shills 460 00:25:01,760 --> 00:25:02,960 Speaker 2: and liars themselves. 461 00:25:03,920 --> 00:25:05,720 Speaker 1: But I just think you have to look at this 462 00:25:05,960 --> 00:25:12,679 Speaker 1: from George Floyd Dies Democrats mobilized with all these riots 463 00:25:12,720 --> 00:25:16,920 Speaker 1: in the street helped get Joe Biden elected. Yes, I 464 00:25:17,080 --> 00:25:19,119 Speaker 1: was correct when I said that the country this was 465 00:25:19,160 --> 00:25:21,359 Speaker 1: on Bill Maher, the country had an election under duress. 466 00:25:21,520 --> 00:25:23,960 Speaker 1: People were boarding up stores. By the way, the Democrats 467 00:25:24,040 --> 00:25:26,600 Speaker 1: on that panel pretend they don't know what I'm talking about. Well, 468 00:25:26,640 --> 00:25:29,680 Speaker 1: it's very straightforward. There were videos and photos and I 469 00:25:29,760 --> 00:25:33,160 Speaker 1: saw it in my own eyes, stores preparing and businesses 470 00:25:33,200 --> 00:25:36,920 Speaker 1: preparing in cities across the country for the Democrat riots 471 00:25:36,960 --> 00:25:40,359 Speaker 1: if Donald Trump won. Everybody knew that what we had 472 00:25:40,400 --> 00:25:43,159 Speaker 1: seen with BLM all summer in twenty twenty was going 473 00:25:43,240 --> 00:25:45,879 Speaker 1: to go into overdrive if Donald Trump won the election. 474 00:25:46,480 --> 00:25:50,760 Speaker 1: And that's just reality. It's very clear. But Clay, when 475 00:25:50,800 --> 00:25:54,439 Speaker 1: you look at the numbers, the biggest increase from June 476 00:25:54,560 --> 00:25:59,119 Speaker 1: of twenty twenty to June of twenty twenty one in history, right, 477 00:25:59,200 --> 00:26:00,639 Speaker 1: I mean, if you look at it instead of calendar, 478 00:26:00,680 --> 00:26:02,320 Speaker 1: you're look at it as a twelve month period. So 479 00:26:02,440 --> 00:26:04,639 Speaker 1: going into the first six months of Biden's term, and 480 00:26:04,680 --> 00:26:10,480 Speaker 1: then it continues on. Crime was absolutely skyrocketing. And initially 481 00:26:10,560 --> 00:26:12,919 Speaker 1: all the people who were saying, oh, but Trump was president, 482 00:26:13,000 --> 00:26:15,000 Speaker 1: blub blah. They've tried to say that this was COVID, 483 00:26:15,400 --> 00:26:19,560 Speaker 1: which was actually counterfactual because other countries that had COVID 484 00:26:19,640 --> 00:26:23,000 Speaker 1: lockdowns had huge drops in crime in twenty twenty because 485 00:26:23,080 --> 00:26:26,640 Speaker 1: nobody was going outside. So it's even worse. You basically 486 00:26:26,760 --> 00:26:30,880 Speaker 1: had a six month crime built in. Crime dropped during 487 00:26:30,960 --> 00:26:33,080 Speaker 1: COVID in terms of violent crime, assault, all the rest 488 00:26:33,119 --> 00:26:35,479 Speaker 1: of it. And then the George Floyd incident, and then 489 00:26:35,560 --> 00:26:38,879 Speaker 1: it's just mayhem across the country in this country, not 490 00:26:39,040 --> 00:26:42,480 Speaker 1: other countries. Worst increase in crime, thousands and thousands of 491 00:26:42,480 --> 00:26:45,800 Speaker 1: people dead, increasing assaults, burglaries, rapes, all of it. Thank 492 00:26:45,840 --> 00:26:47,560 Speaker 1: you Democrats, It's all on them. 493 00:26:49,200 --> 00:26:52,080 Speaker 2: I'm surprised that again I give credit to real Clear 494 00:26:52,160 --> 00:26:55,600 Speaker 2: Politics for getting this data out. I'm surprised the FBI 495 00:26:55,840 --> 00:26:59,480 Speaker 2: updated before the election, but they conveniently did it after 496 00:26:59,680 --> 00:27:02,520 Speaker 2: all the debates have taken place. And do you think Buck, 497 00:27:02,600 --> 00:27:05,359 Speaker 2: this is kind of making fun of this idea, but 498 00:27:05,920 --> 00:27:08,479 Speaker 2: do you think that ABC News is going to come 499 00:27:08,560 --> 00:27:12,119 Speaker 2: back out and say, actually, sorry, we were wrong with 500 00:27:12,240 --> 00:27:15,920 Speaker 2: this fact check too. Trump was right, of course not 501 00:27:16,280 --> 00:27:20,119 Speaker 2: And so sixty million some odd people watched that debate 502 00:27:20,720 --> 00:27:23,399 Speaker 2: and watched ABC say, oh, Trump's lying. 503 00:27:23,840 --> 00:27:26,399 Speaker 1: Trump was right on that. Trump was right on. 504 00:27:26,520 --> 00:27:30,840 Speaker 2: The Minnesota bill that Tim Wall signed. Trump was right 505 00:27:31,040 --> 00:27:34,920 Speaker 2: on virtually everything he said. Now, look, is Trump sometimes 506 00:27:34,960 --> 00:27:36,880 Speaker 2: a bull in the china shop and he doesn't put 507 00:27:36,920 --> 00:27:39,520 Speaker 2: together the words in the best possible way, and does 508 00:27:39,560 --> 00:27:41,399 Speaker 2: he meander in the way that he gets to his 509 00:27:41,480 --> 00:27:44,440 Speaker 2: final result. All that can be true here Trump was 510 00:27:44,520 --> 00:27:48,920 Speaker 2: directly correct. And I think, Buck, you know what they'll 511 00:27:48,960 --> 00:27:51,960 Speaker 2: end up doing twenty twenty three numbers they'll revise as well. 512 00:27:52,840 --> 00:27:56,719 Speaker 2: And isn't it interesting that all the revisions benefit Democrats 513 00:27:58,119 --> 00:28:03,680 Speaker 2: if we just had an utterly incompetent government completely and 514 00:28:03,800 --> 00:28:06,920 Speaker 2: we do, but if they were just totally incompetent in 515 00:28:07,080 --> 00:28:11,120 Speaker 2: all facets, they would get things wrong sometimes that benefit 516 00:28:11,320 --> 00:28:16,399 Speaker 2: Republican perspectives. All the jobs, with the eight hundred and 517 00:28:16,400 --> 00:28:19,920 Speaker 2: eighty thousand jobs that they inflated, they inflated it. It 518 00:28:20,040 --> 00:28:24,280 Speaker 2: all helped the Biden administration. The crime data they deflated 519 00:28:24,640 --> 00:28:26,920 Speaker 2: as they make it look lower than it actually is 520 00:28:27,040 --> 00:28:29,600 Speaker 2: to make it look like Joe Biden and Kamala Harris 521 00:28:29,640 --> 00:28:33,240 Speaker 2: are doing a good job making us safer. The reality is, 522 00:28:33,720 --> 00:28:38,640 Speaker 2: in two different directions they had errors that only benefited Democrats. 523 00:28:39,280 --> 00:28:40,719 Speaker 2: What are the chances of that happening? 524 00:28:40,760 --> 00:28:43,320 Speaker 1: Buck, I think people would be stunned if you were 525 00:28:43,360 --> 00:28:46,080 Speaker 1: to just see an analysis of how much violent crime, 526 00:28:46,200 --> 00:28:49,480 Speaker 1: and I mean the worst stuff. You know, women being raped, 527 00:28:49,600 --> 00:28:52,200 Speaker 1: people being pushed in front of subway trains, you know, 528 00:28:52,320 --> 00:28:54,600 Speaker 1: people being beaten to death in their homes with hammers. 529 00:28:55,000 --> 00:28:58,840 Speaker 1: How much of that could be stopped if we did 530 00:28:58,920 --> 00:29:02,600 Speaker 1: have a three strikes law in different states in this country. 531 00:29:02,600 --> 00:29:04,400 Speaker 1: They used to have one in California, by the way, 532 00:29:04,800 --> 00:29:08,000 Speaker 1: How much of that would go away if you just said, 533 00:29:08,040 --> 00:29:10,440 Speaker 1: you know what, it's your third felony. I'm talking with felonies. 534 00:29:10,480 --> 00:29:13,600 Speaker 1: I'm talking about three speeding tickets. It's your third felony. 535 00:29:13,960 --> 00:29:17,960 Speaker 1: You're going away, mandatory, ten years, fifteen years, whatever it is. 536 00:29:18,240 --> 00:29:21,080 Speaker 1: You know, fifty year olds don't commit that many violent crimes. 537 00:29:21,640 --> 00:29:23,480 Speaker 1: The other part of this you have to think about, too, Clay, 538 00:29:23,560 --> 00:29:25,760 Speaker 1: is when you look at the percentage of the population 539 00:29:26,200 --> 00:29:29,960 Speaker 1: that is committing serious and violent crimes, it is you know, 540 00:29:30,160 --> 00:29:32,760 Speaker 1: a huge, a huge majority of a vast majority of 541 00:29:32,840 --> 00:29:37,880 Speaker 1: its people sixteen to thirty five. Really, that's where all 542 00:29:38,080 --> 00:29:43,320 Speaker 1: of the really bad stuff is concentrated nationwide, and so 543 00:29:44,000 --> 00:29:47,520 Speaker 1: there's only you know, it's only as it's a certain 544 00:29:47,800 --> 00:29:52,400 Speaker 1: age demographic, and it is also centered around other demographics 545 00:29:52,440 --> 00:29:55,120 Speaker 1: in the country to have higher crime rates in high 546 00:29:55,200 --> 00:29:58,840 Speaker 1: crime areas of cities. You could actually handle this and 547 00:29:58,960 --> 00:30:01,600 Speaker 1: keep everybody safe. The Democrats do not want. 548 00:30:01,480 --> 00:30:03,800 Speaker 2: To do it. They don't want to do it, it's correct, 549 00:30:03,840 --> 00:30:09,200 Speaker 2: because they're afraid of being blamed for arrest rates. And 550 00:30:09,320 --> 00:30:12,040 Speaker 2: I just come back to the one thing Joe Biden 551 00:30:12,120 --> 00:30:13,840 Speaker 2: might have gotten right in his career was the nineteen 552 00:30:13,920 --> 00:30:15,920 Speaker 2: ninety four crime Bill, and by the time he ran 553 00:30:16,000 --> 00:30:18,360 Speaker 2: for president in twenty twenty, he bought into the idea 554 00:30:18,400 --> 00:30:22,800 Speaker 2: that it was racist, but it overwhelmingly helped black, white, Asian, 555 00:30:22,960 --> 00:30:28,320 Speaker 2: Hispanic innocent people be more likely to make to live healthy. 556 00:30:28,400 --> 00:30:31,440 Speaker 1: And satisfying life. Violent crime, although we were just talking 557 00:30:31,440 --> 00:30:33,200 Speaker 1: about another incident that involved the woman, but you know, 558 00:30:33,280 --> 00:30:37,120 Speaker 1: violent crime is basically a problem of men. Yes, I 559 00:30:37,200 --> 00:30:39,120 Speaker 1: can say that out loud and nobody disagrees with it, 560 00:30:39,160 --> 00:30:41,120 Speaker 1: because the numbers will all make that very clear like 561 00:30:41,240 --> 00:30:43,240 Speaker 1: we can look at numbers and data and come to 562 00:30:43,320 --> 00:30:46,600 Speaker 1: firm conclusions on where the problem lies and how we 563 00:30:46,720 --> 00:30:47,320 Speaker 1: can deal with it. 564 00:30:47,960 --> 00:30:52,880 Speaker 2: Grandmas aren't typically in fistfights with police. I just tossing 565 00:30:52,920 --> 00:30:55,600 Speaker 2: it out there. Your grandma probably not going to throw 566 00:30:55,680 --> 00:30:59,920 Speaker 2: down with a police officer anywhere. No matter white, Black, Asian, Hispanic. 567 00:31:00,120 --> 00:31:04,280 Speaker 2: Young men are overwhelmingly committers of crime, and when you 568 00:31:04,360 --> 00:31:06,680 Speaker 2: know who commits crimes, you can help to keep them 569 00:31:06,720 --> 00:31:08,800 Speaker 2: from keep committing those crimes. All we got to do 570 00:31:08,920 --> 00:31:11,600 Speaker 2: is lock up the bad guys. Look Price Picks head 571 00:31:11,680 --> 00:31:13,280 Speaker 2: into the weekend. We're going to have some fun with 572 00:31:13,400 --> 00:31:16,520 Speaker 2: college football and the NFL. Number one app for having 573 00:31:16,600 --> 00:31:20,120 Speaker 2: fun while watching live sports. More than five million active 574 00:31:20,240 --> 00:31:24,520 Speaker 2: users on Prize Picks this week alone, from California to 575 00:31:24,640 --> 00:31:28,560 Speaker 2: Georgia to Texas, more than thirty states in all. 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You don't even need to 586 00:32:01,560 --> 00:32:04,040 Speaker 2: win to get the fifty dollars bonus. I'm gonna give 587 00:32:04,080 --> 00:32:07,440 Speaker 2: you a pick tomorrow, Thursday Night Football. It's when we 588 00:32:07,600 --> 00:32:11,160 Speaker 2: always do it. We have won two of the last three. 589 00:32:11,600 --> 00:32:14,080 Speaker 2: We're gonna have some fun. But maybe football is not 590 00:32:14,240 --> 00:32:17,480 Speaker 2: your thing. Maybe you love I don't know, Maybe you 591 00:32:17,600 --> 00:32:20,360 Speaker 2: love Major League Baseball playoffs, Dodgers and that's going on. 592 00:32:21,800 --> 00:32:25,360 Speaker 1: Maybe you like the WNBA. Maybe you like college football 593 00:32:25,440 --> 00:32:26,880 Speaker 1: like I do. Whatever you like. 594 00:32:27,160 --> 00:32:32,000 Speaker 2: Thursday Night Football Broncos Saints tomorrow, I'm gonna put together 595 00:32:32,160 --> 00:32:34,320 Speaker 2: a pick that is gonna win, hopefully, Like two of 596 00:32:34,360 --> 00:32:37,560 Speaker 2: the last three. Have prize picks dot com my name Clay. 597 00:32:38,400 --> 00:32:42,360 Speaker 3: Have fun with the guys on Sundays the Sunday Hang Podcast. 598 00:32:42,520 --> 00:32:46,320 Speaker 3: It's silly, it's goofy, it's good times. Fight it in 599 00:32:46,400 --> 00:32:49,440 Speaker 3: the Clay and Buck podcast, feed on the iHeartRadio app 600 00:32:49,680 --> 00:32:51,640 Speaker 3: or wherever you get your podcasts. 601 00:32:51,840 --> 00:32:55,040 Speaker 2: Welcome back in Clay, Travis Buck Sexton appreciate all of you. 602 00:32:55,200 --> 00:32:57,600 Speaker 1: Hanging out with us uh buck. 603 00:32:58,440 --> 00:33:00,920 Speaker 2: My take on let's have a little bit of fun, 604 00:33:01,040 --> 00:33:03,760 Speaker 2: My take on leaf blowers, as I put it on 605 00:33:03,920 --> 00:33:06,680 Speaker 2: social media after I set it on the show. It 606 00:33:06,840 --> 00:33:11,360 Speaker 2: has provoked a firestorm in the In the Mensons, people 607 00:33:11,440 --> 00:33:15,760 Speaker 2: are just metaphorically pulling out their axes and taking chops 608 00:33:15,800 --> 00:33:18,800 Speaker 2: at each other. Let me just be clear, if you 609 00:33:18,880 --> 00:33:21,360 Speaker 2: disagree with me on this issue, you are flat out wrong. 610 00:33:22,520 --> 00:33:27,080 Speaker 2: There should be no leaf blowing before nine am, definitely 611 00:33:27,240 --> 00:33:29,960 Speaker 2: before nine am on the weekends. And people out there 612 00:33:30,000 --> 00:33:31,800 Speaker 2: are like, I wake up earlier. I got up at 613 00:33:31,840 --> 00:33:33,560 Speaker 2: four twenty in the morning for six years. 614 00:33:33,600 --> 00:33:36,720 Speaker 1: All right. I understand some of you get up early 615 00:33:36,800 --> 00:33:37,240 Speaker 1: in the morning. 616 00:33:37,480 --> 00:33:38,920 Speaker 2: That doesn't mean the first thing you need to do 617 00:33:39,120 --> 00:33:41,560 Speaker 2: is go get your flipping the leaf blower and start 618 00:33:41,640 --> 00:33:43,800 Speaker 2: running it all over the place and waking up the 619 00:33:43,840 --> 00:33:48,400 Speaker 2: whole neighborhood. Nine am is a civilized hour nationwide. I 620 00:33:48,520 --> 00:33:50,240 Speaker 2: think that if you want to go blow your leaves 621 00:33:50,280 --> 00:33:53,200 Speaker 2: after nine am and somebody's upset, that's on them. Pre 622 00:33:53,400 --> 00:33:56,360 Speaker 2: nine am, you were not the good guy here. You 623 00:33:56,520 --> 00:33:59,520 Speaker 2: are the evil leaf blowing monster of your neighborhood. 624 00:34:00,080 --> 00:34:02,760 Speaker 1: I like when I can, in good conscience stand to 625 00:34:02,840 --> 00:34:07,120 Speaker 1: thwart Clay's pronouncements and try to push back on a 626 00:34:07,200 --> 00:34:10,560 Speaker 1: clay ism. I cannot do that here. I totally agree 627 00:34:10,600 --> 00:34:13,000 Speaker 1: with him. So if some of you want to take 628 00:34:13,080 --> 00:34:15,799 Speaker 1: up the side of Big leaf Blower, if you want 629 00:34:15,840 --> 00:34:19,080 Speaker 1: to be on team Big leaf Blower, you can do 630 00:34:19,239 --> 00:34:22,560 Speaker 1: that right into his clayanbuck dot com if you're VIP. Also, 631 00:34:22,600 --> 00:34:24,520 Speaker 1: if you want to send us and you know this 632 00:34:24,680 --> 00:34:26,520 Speaker 1: is easier for you for a lot of folks, if 633 00:34:26,520 --> 00:34:28,880 Speaker 1: you're on the iHeart app, you can press go to 634 00:34:28,960 --> 00:34:30,600 Speaker 1: Clay and Buck. On the iHeart app, there's a little 635 00:34:30,640 --> 00:34:32,400 Speaker 1: microphone like what is that. You can press it and 636 00:34:32,520 --> 00:34:34,759 Speaker 1: record a message to us, and it will go to us, 637 00:34:35,160 --> 00:34:37,320 Speaker 1: and the team will play it for us, and we 638 00:34:37,360 --> 00:34:39,560 Speaker 1: can even play it on the air. But Clay, I 639 00:34:39,920 --> 00:34:42,040 Speaker 1: cannot disagree with you on this one. I was hoping 640 00:34:42,080 --> 00:34:43,799 Speaker 1: that there was a little daylight here to just give 641 00:34:43,840 --> 00:34:47,960 Speaker 1: you a hard time, but Leafblowers got the terror of you. 642 00:34:48,160 --> 00:34:53,279 Speaker 1: Leaf Blowers pre nine am needs to stop. I can't 643 00:34:53,400 --> 00:34:56,719 Speaker 1: look there. I'm big on this, and I understand some 644 00:34:56,800 --> 00:34:59,399 Speaker 1: of you live in Florida places like that. When I'm 645 00:34:59,440 --> 00:35:01,600 Speaker 1: at my to place now, I'm gonna sound like the 646 00:35:01,640 --> 00:35:02,840 Speaker 1: biggest deva on the planet. 647 00:35:04,040 --> 00:35:06,400 Speaker 2: They start with the leaf blow in there even in 648 00:35:07,360 --> 00:35:09,160 Speaker 2: first of all, it can't be that effective. 649 00:35:09,160 --> 00:35:11,600 Speaker 1: All right, let's start with can we bring back the rake? 650 00:35:12,239 --> 00:35:14,799 Speaker 2: I would submit to you that the rake has been 651 00:35:15,000 --> 00:35:19,279 Speaker 2: unfairly maligned and was actually effective in a huge way 652 00:35:19,360 --> 00:35:20,960 Speaker 2: for a very long time. A lot of what you 653 00:35:21,080 --> 00:35:24,000 Speaker 2: guys do is just blow leaves back and forth at 654 00:35:24,000 --> 00:35:27,200 Speaker 2: each other's yard, so you don't actually clean anything up. 655 00:35:27,360 --> 00:35:29,640 Speaker 2: You just push them into your neighbor's yard, and then 656 00:35:29,680 --> 00:35:31,520 Speaker 2: he gets up and then he pushes them back into 657 00:35:31,560 --> 00:35:35,920 Speaker 2: your yard. And it's like the magna lines constantly getting redefined. 658 00:35:35,960 --> 00:35:39,120 Speaker 2: Here you're not actually producing anything of value. We got 659 00:35:39,239 --> 00:35:43,000 Speaker 2: leaf trench warfare. Back in the day, you had the rake, 660 00:35:43,400 --> 00:35:45,560 Speaker 2: and you'd have a big pile of leaves which the 661 00:35:45,680 --> 00:35:48,480 Speaker 2: kids could all run and jump in, and everybody enjoyed it. 662 00:35:48,600 --> 00:35:50,480 Speaker 2: And maybe you burned it, maybe you bagged it up, 663 00:35:50,520 --> 00:35:51,160 Speaker 2: whatever you did. 664 00:35:51,239 --> 00:35:51,520 Speaker 1: I don't know. 665 00:35:51,680 --> 00:35:54,120 Speaker 2: Is it like anti climate change now to burn leaves. 666 00:35:54,160 --> 00:35:55,800 Speaker 2: I don't even know what the latest is on that 667 00:35:56,920 --> 00:35:59,040 Speaker 2: the leaf blower is not making the world a better place. 668 00:35:59,640 --> 00:36:01,120 Speaker 2: And if you're up early in the morning with the 669 00:36:01,239 --> 00:36:06,440 Speaker 2: leaf blower, you are a bad person. You are destroying 670 00:36:06,920 --> 00:36:08,920 Speaker 2: the sleep patterns of Americans everywhere. 671 00:36:09,800 --> 00:36:12,719 Speaker 1: I cannot disagree with you here. I will tell you 672 00:36:12,800 --> 00:36:14,520 Speaker 1: I also had someone sitting next to me on the 673 00:36:14,600 --> 00:36:17,879 Speaker 1: plane last night who had a child of maybe four 674 00:36:17,960 --> 00:36:22,000 Speaker 1: or five years old, and the child you're wrong on that. 675 00:36:22,200 --> 00:36:27,759 Speaker 1: You are on an chad no no headphones, no headphones. 676 00:36:28,000 --> 00:36:30,360 Speaker 1: So I'm sitting here, I'm trying to prepare for the 677 00:36:30,480 --> 00:36:33,880 Speaker 1: radio show. I've got my noise canceling headphones in not 678 00:36:34,040 --> 00:36:39,160 Speaker 1: good enough. I've got to hear like Paw Patrol on 679 00:36:39,440 --> 00:36:43,480 Speaker 1: volume eleven for two hours of the flight yesterday. Clay, 680 00:36:43,960 --> 00:36:46,959 Speaker 1: you really think that the no headphone for the kids 681 00:36:47,080 --> 00:36:49,000 Speaker 1: is an acceptable state of affairs. I just want to 682 00:36:49,000 --> 00:36:52,399 Speaker 1: fight with them. I'm just telling you, when you have kids, 683 00:36:52,520 --> 00:36:54,040 Speaker 1: all your kid takes are gonna flip.