1 00:00:03,320 --> 00:00:15,720 Speaker 1: You are entering the Freedom Huge. Two sheriff's stepanese ambushed 2 00:00:15,760 --> 00:00:19,640 Speaker 1: in LA and some protesters celebrate that they were shot. 3 00:00:20,079 --> 00:00:23,400 Speaker 1: Biden blames all of this on guns. A knife attacker 4 00:00:23,520 --> 00:00:28,160 Speaker 1: in Pennsylvania also causes riots. Will Democrats concede if they 5 00:00:28,200 --> 00:00:32,640 Speaker 1: lose an NFL opening day kneeling it happens. This is 6 00:00:32,680 --> 00:00:35,960 Speaker 1: the bus Sexton Show, where the mission or mission is 7 00:00:35,960 --> 00:00:41,800 Speaker 1: to decode what really matters with actionable intelligence. Make no 8 00:00:41,920 --> 00:00:45,520 Speaker 1: mistake American great, You're a great American Again, the buck 9 00:00:45,560 --> 00:00:54,320 Speaker 1: Sexton Show begins analysts, He's a great guy. Now, welcome 10 00:00:54,360 --> 00:00:57,240 Speaker 1: everybody to the buck Sexton Show. Thank you very much 11 00:00:57,280 --> 00:00:59,160 Speaker 1: for being here. I gotta tell you there's a little 12 00:00:59,200 --> 00:01:02,240 Speaker 1: bit of a momentum, a little bit of excitement right 13 00:01:02,280 --> 00:01:04,000 Speaker 1: now for those of us who work in the news 14 00:01:04,080 --> 00:01:08,440 Speaker 1: media and political commentary, right wing talk, whatever you want 15 00:01:08,440 --> 00:01:11,959 Speaker 1: to call it, because the election you can almost you 16 00:01:12,000 --> 00:01:14,280 Speaker 1: can almost smell it, you can almost taste this election. 17 00:01:14,319 --> 00:01:17,920 Speaker 1: It's coming up. It's gonna be here very soon. And 18 00:01:17,959 --> 00:01:21,760 Speaker 1: I've gotta tell you right now, Donald Trump has everything 19 00:01:21,760 --> 00:01:25,320 Speaker 1: that he needs. It has all been set up by 20 00:01:25,360 --> 00:01:29,800 Speaker 1: events so that Trump can in fact win four more 21 00:01:29,880 --> 00:01:32,040 Speaker 1: years I'm not saying he will. I believe that it's 22 00:01:32,200 --> 00:01:35,039 Speaker 1: very possible, but he might be able to pull this 23 00:01:35,200 --> 00:01:39,000 Speaker 1: off despite the fact that twenty twenty was just a 24 00:01:39,040 --> 00:01:41,760 Speaker 1: tough year, a bad year for the whole world, not 25 00:01:41,800 --> 00:01:44,600 Speaker 1: just for America. But one of the major reasons for 26 00:01:44,680 --> 00:01:48,960 Speaker 1: this is that the Democrats have embraced this BLM movement. Now, 27 00:01:49,000 --> 00:01:52,240 Speaker 1: I've got to tell you, I'm proud of the fact 28 00:01:52,240 --> 00:01:57,480 Speaker 1: that this show was never bending to need a BLM, never, 29 00:01:57,600 --> 00:02:01,400 Speaker 1: oh yeah, let's do the police reforce. Who was telling 30 00:02:01,440 --> 00:02:06,560 Speaker 1: you back in June that police reform and you know, 31 00:02:06,840 --> 00:02:11,240 Speaker 1: trying to pass a new holiday or to change some statues, 32 00:02:11,400 --> 00:02:14,639 Speaker 1: that any of this was gonna do anything to make 33 00:02:14,680 --> 00:02:19,000 Speaker 1: this country better, right, I certainly was not saying that 34 00:02:19,040 --> 00:02:20,720 Speaker 1: bending the knee on any of that stuff was the 35 00:02:20,720 --> 00:02:24,360 Speaker 1: way to go. This show stood firm on this because 36 00:02:24,360 --> 00:02:26,560 Speaker 1: I knew what was going to happen. I could see 37 00:02:26,560 --> 00:02:29,079 Speaker 1: it coming. I didn't want to go out like a whimp. 38 00:02:29,240 --> 00:02:31,000 Speaker 1: No matter what, this show, We're not going to be 39 00:02:31,000 --> 00:02:34,919 Speaker 1: whimps here. But my god, there were so many Remember 40 00:02:34,919 --> 00:02:38,720 Speaker 1: those huge companies who bent the knee, begged forgiveness and 41 00:02:38,800 --> 00:02:43,359 Speaker 1: tried to brainwash their own employees to appease BLM. Well, 42 00:02:43,400 --> 00:02:46,720 Speaker 1: they pandered to an evil Marxist movement based on lies, 43 00:02:47,000 --> 00:02:51,639 Speaker 1: division and resentment. Oh oh, what happened to all of 44 00:02:51,720 --> 00:02:55,000 Speaker 1: the BLM Instagram virtue signaling? Remember the black squares that 45 00:02:55,040 --> 00:03:06,280 Speaker 1: everybody's putting up on Instagram. So much, so much cowardice, stupidity, sanctimoniousness, recklessness, 46 00:03:06,680 --> 00:03:11,200 Speaker 1: And now here we are. We're five months into BLMS resurgence. 47 00:03:11,800 --> 00:03:15,720 Speaker 1: There's not a single positive outcome from the movement unless 48 00:03:15,760 --> 00:03:18,839 Speaker 1: letting celebrities, journalists, and pro athletes show off for their 49 00:03:18,880 --> 00:03:22,600 Speaker 1: friends on social media is considered a really important thing. 50 00:03:23,040 --> 00:03:26,720 Speaker 1: But there have been lots of deaths, riots, arson, assault 51 00:03:26,800 --> 00:03:31,200 Speaker 1: and theft, though plenty of that, plenty of that. Now 52 00:03:31,200 --> 00:03:33,520 Speaker 1: we can judge the movement by what it did, not 53 00:03:33,639 --> 00:03:39,200 Speaker 1: what it pretended to be about. And finally, the Democrats, 54 00:03:40,240 --> 00:03:45,720 Speaker 1: the pandering, pathetic national news media lying to you at 55 00:03:45,720 --> 00:03:49,760 Speaker 1: every stage every phase of these riots and this movement. 56 00:03:51,480 --> 00:03:57,280 Speaker 1: Now they're at least temporarily on defense because exactly what 57 00:03:57,360 --> 00:03:59,960 Speaker 1: I have been telling you all along would happen has happen. 58 00:04:01,480 --> 00:04:07,320 Speaker 1: You had two Los Angeles County Sheriff's deputies recently out 59 00:04:07,320 --> 00:04:09,560 Speaker 1: of the academy. But two people just beginning their careers 60 00:04:09,560 --> 00:04:13,320 Speaker 1: in law enforcement, man and a woman shot while sitting 61 00:04:13,320 --> 00:04:20,400 Speaker 1: in their patrol car. A black male suspect went up 62 00:04:20,440 --> 00:04:26,320 Speaker 1: to the vehicle and shot them absolutely no reason, absolutely 63 00:04:26,360 --> 00:04:30,880 Speaker 1: know anything other than their cops. Why would someone do 64 00:04:30,960 --> 00:04:34,600 Speaker 1: this to law enforcement in this country? Why would someone 65 00:04:34,680 --> 00:04:38,840 Speaker 1: take it upon themselves to try to assassinate two police 66 00:04:38,920 --> 00:04:48,040 Speaker 1: officers sitting in a parked vehicle like this. Well, my friends, 67 00:04:50,440 --> 00:04:56,279 Speaker 1: we've seen this happen before. It's just not surprising. This 68 00:04:56,400 --> 00:04:59,240 Speaker 1: was just like this ambush of LAPD officers was just 69 00:04:59,320 --> 00:05:02,240 Speaker 1: like the assassin a nation of NYPD officers Ramos and 70 00:05:02,360 --> 00:05:07,680 Speaker 1: lou in twenty fourteen, also by a BLM supporter. Oh, 71 00:05:07,720 --> 00:05:09,760 Speaker 1: we don't know what this guy trusts me when they 72 00:05:09,800 --> 00:05:14,279 Speaker 1: catch him, guarantee you, guarantee you. When they go on 73 00:05:14,360 --> 00:05:17,040 Speaker 1: a social media accounts everything else, you'll see a lot 74 00:05:17,080 --> 00:05:23,520 Speaker 1: of hashtag BLM a radical from within the tradition of 75 00:05:23,520 --> 00:05:28,520 Speaker 1: a radical Marxist movement that is based in a lie that, 76 00:05:28,680 --> 00:05:32,800 Speaker 1: if it were true, would justify violence against police. That's 77 00:05:32,800 --> 00:05:36,720 Speaker 1: why it's so dangerous. That's why this is so corrosive. 78 00:05:37,800 --> 00:05:42,400 Speaker 1: The vicious hatred of cops which is central to BLM, 79 00:05:42,480 --> 00:05:46,040 Speaker 1: has horrific consequences. Yet again, every coward in the media 80 00:05:46,080 --> 00:05:50,760 Speaker 1: and Democrat politician who pandered to the ignorant, angry mobs 81 00:05:51,240 --> 00:05:56,440 Speaker 1: at the expense of our police should be ashamed. But 82 00:05:56,520 --> 00:06:00,800 Speaker 1: it's about justice, they said, No, it's not, and it 83 00:06:00,839 --> 00:06:03,560 Speaker 1: never was. This is just like what we saw in 84 00:06:03,600 --> 00:06:06,560 Speaker 1: New York. It's just like what happened in Dallas, where 85 00:06:06,560 --> 00:06:09,200 Speaker 1: you had a BLM supporter kill five members of the 86 00:06:09,279 --> 00:06:13,520 Speaker 1: Dallas Police Department. Just run around assassinating cops. There was 87 00:06:13,560 --> 00:06:17,040 Speaker 1: no struggle. This wasn't a fleeing felon trying to get 88 00:06:17,040 --> 00:06:19,600 Speaker 1: away with a crime, as if that's a death penalty 89 00:06:19,640 --> 00:06:23,159 Speaker 1: offense in and of itself. But there's no rationalization for 90 00:06:23,200 --> 00:06:27,720 Speaker 1: this whatsoever, even for a criminal. The only reason for 91 00:06:27,760 --> 00:06:31,760 Speaker 1: this is that our national news media, much of many 92 00:06:31,800 --> 00:06:34,440 Speaker 1: of the most important and powerful companies in the country, 93 00:06:34,560 --> 00:06:38,520 Speaker 1: and the Democrat Party went along with this, this moral 94 00:06:38,560 --> 00:06:41,560 Speaker 1: panic about all the racism and our policing. Oh, it's 95 00:06:41,600 --> 00:06:45,320 Speaker 1: also racist. They're killing unarmed black men for sport, that's 96 00:06:45,360 --> 00:06:49,560 Speaker 1: what they say. That's the line. It's out of racism 97 00:06:50,520 --> 00:06:52,279 Speaker 1: that police just some days they're like, you know what, 98 00:06:52,320 --> 00:06:54,520 Speaker 1: I'm going to kill a black man because I feel 99 00:06:54,560 --> 00:06:56,479 Speaker 1: like it, and I'll get away with it and it 100 00:06:56,520 --> 00:06:59,200 Speaker 1: won't ruin my life, and it's not a monstrous thing 101 00:06:59,240 --> 00:07:03,920 Speaker 1: to do. That is the central lie behind all of this, 102 00:07:04,839 --> 00:07:08,960 Speaker 1: and just millions of morons went along with it. Oh, 103 00:07:09,040 --> 00:07:11,360 Speaker 1: the tens of thousands of them protesting in the streets. 104 00:07:11,360 --> 00:07:16,000 Speaker 1: Where about justice? No, you're not, you're idiots. Facts don't 105 00:07:16,040 --> 00:07:19,400 Speaker 1: matter to you. Reason, logic, these things don't matter. Just emotion. 106 00:07:20,440 --> 00:07:24,200 Speaker 1: It's emotion. It's people who are psychologically unstable, quite honestly, 107 00:07:24,520 --> 00:07:27,120 Speaker 1: that are looking for something to latch onto, and the 108 00:07:27,200 --> 00:07:30,400 Speaker 1: Democrat Party provides them with that. Oh, be a Democrat, 109 00:07:30,440 --> 00:07:33,600 Speaker 1: then you're a good person. And here's this little sub 110 00:07:33,680 --> 00:07:37,560 Speaker 1: movement of the Democrat Party called BLM, And you're a 111 00:07:37,720 --> 00:07:41,200 Speaker 1: righteous fighter for civil rights if you go march in 112 00:07:41,240 --> 00:07:44,000 Speaker 1: the streets for this and provide cover for the rioters 113 00:07:44,000 --> 00:07:48,880 Speaker 1: and the looters. Oh, only ninety three percent of the protest, 114 00:07:48,960 --> 00:07:53,160 Speaker 1: they say, or ninety three percent we're peaceful. Seven percent 115 00:07:53,200 --> 00:07:57,080 Speaker 1: were violent. If you spend seven percent of your day 116 00:07:57,120 --> 00:08:00,960 Speaker 1: and violence, you're like the most violent person on planet Earth. Okay, 117 00:08:01,840 --> 00:08:03,960 Speaker 1: we've seen all the different tricks, we've seen what the 118 00:08:03,960 --> 00:08:08,800 Speaker 1: medias tried to do. And as if it wasn't horrific enough, 119 00:08:10,040 --> 00:08:16,360 Speaker 1: as if it wasn't evil enough, that you had someone who, yes, 120 00:08:16,520 --> 00:08:19,000 Speaker 1: I am, I am analyzing this. We don't have the 121 00:08:19,120 --> 00:08:22,000 Speaker 1: data yet, we don't have the it's quite obvious that 122 00:08:22,080 --> 00:08:25,240 Speaker 1: this person hates cops and wanted to kill cops because 123 00:08:25,240 --> 00:08:27,240 Speaker 1: of what he's hearing all the time every day in 124 00:08:27,280 --> 00:08:30,400 Speaker 1: the media, every day in pop culture. The cops are 125 00:08:30,480 --> 00:08:34,600 Speaker 1: evil and they're killing black men for sport because of racism. 126 00:08:36,200 --> 00:08:38,520 Speaker 1: There's no other reason for this, there's no there was 127 00:08:38,559 --> 00:08:40,960 Speaker 1: no other explanation. If there was another explanation, or at 128 00:08:41,040 --> 00:08:42,319 Speaker 1: least say it could be this, it could be that. 129 00:08:42,880 --> 00:08:46,280 Speaker 1: I can't even think of what it is. And we've 130 00:08:46,280 --> 00:08:49,199 Speaker 1: seen this before, we've seen the patterns. We didn't understand 131 00:08:50,200 --> 00:08:54,840 Speaker 1: what's going on here. We understand what is happening. But 132 00:08:54,920 --> 00:08:58,000 Speaker 1: as if that wasn't ugly. And by the way, the 133 00:08:58,200 --> 00:09:01,520 Speaker 1: sheriff's deputies right now are are expected to survive, so 134 00:09:02,200 --> 00:09:09,160 Speaker 1: thank god, looks like they're going to be okay. But 135 00:09:09,200 --> 00:09:13,760 Speaker 1: as if that wasn't bad enough, you had BLM supporters 136 00:09:14,800 --> 00:09:18,120 Speaker 1: outside the hospital where these police officers. This was in 137 00:09:18,160 --> 00:09:21,559 Speaker 1: South Central Los Angeles or in Compton, and you had 138 00:09:21,640 --> 00:09:26,320 Speaker 1: BLM supporters videotaping themselves outside the hospital yelling things to 139 00:09:26,360 --> 00:09:28,560 Speaker 1: these cops who were shot sitting in their patrol car, 140 00:09:29,320 --> 00:09:34,319 Speaker 1: like y'all gonna die one by one. This ain't gonna stop. 141 00:09:36,440 --> 00:09:42,600 Speaker 1: That's right. The BLM supporting Biden voting mob gathered outside 142 00:09:42,600 --> 00:09:44,559 Speaker 1: a hospital. Maybe it was a half a dozen people. 143 00:09:44,800 --> 00:09:49,280 Speaker 1: It does doesn't matter. Can you can you imagine if 144 00:09:49,320 --> 00:09:55,680 Speaker 1: a half dozen Trump supporters gathered outside of of one 145 00:09:55,720 --> 00:09:58,280 Speaker 1: of these shootings that BLM talks about all the time, 146 00:09:58,320 --> 00:10:02,480 Speaker 1: and was gathering outside outside the hospital where Jacob Blake 147 00:10:02,640 --> 00:10:07,040 Speaker 1: was was, you know, currently being treated, and we're saying 148 00:10:07,040 --> 00:10:08,760 Speaker 1: that this was a great thing and he got what 149 00:10:08,840 --> 00:10:11,680 Speaker 1: he deserved. And it's all you'd hear about for a 150 00:10:11,760 --> 00:10:15,439 Speaker 1: month in the media. All you'd hear about about a 151 00:10:15,440 --> 00:10:23,719 Speaker 1: half a dozen likely Democrat BLM supporters gather outside and 152 00:10:23,760 --> 00:10:26,120 Speaker 1: say and are cheering for this. They are cheering for 153 00:10:26,240 --> 00:10:30,520 Speaker 1: officers who have been shot to die. They're not they're 154 00:10:30,520 --> 00:10:32,800 Speaker 1: not hoping for a speedy recovery. They're hoping for the opposite. 155 00:10:32,800 --> 00:10:34,480 Speaker 1: They want them to die. They're laughing about this, that 156 00:10:34,559 --> 00:10:38,840 Speaker 1: they think this is funny which side of the political 157 00:10:38,880 --> 00:10:42,600 Speaker 1: aisle supports this creates this? Which side of the political 158 00:10:42,679 --> 00:10:45,880 Speaker 1: aisle has made their bed now and has to sleep 159 00:10:45,920 --> 00:10:48,079 Speaker 1: in it? When it comes to BLM, we know it's 160 00:10:48,080 --> 00:10:52,079 Speaker 1: the Democrats, It's the Biden voters, the pandering, the racial division. 161 00:10:52,280 --> 00:10:56,240 Speaker 1: Trump has broken them psychologically and emotionally, and they're so 162 00:10:56,440 --> 00:10:59,200 Speaker 1: desperate for some kind of moral high ground that they 163 00:10:59,440 --> 00:11:05,439 Speaker 1: went along with this Marxist fraud again. And what has 164 00:11:05,480 --> 00:11:09,640 Speaker 1: it done? People have died, there have been riots, arson looting, stores, 165 00:11:09,720 --> 00:11:18,400 Speaker 1: destroyed businesses, broken into ended shut down afterwards for what 166 00:11:19,800 --> 00:11:23,960 Speaker 1: doesn't help any community. Crime is going up across the 167 00:11:24,000 --> 00:11:28,120 Speaker 1: country and cities, particularly in minority areas of major cities. 168 00:11:29,920 --> 00:11:31,800 Speaker 1: So what was this all about? What were all the 169 00:11:31,840 --> 00:11:36,559 Speaker 1: black Squares on Instagram and all the you know, hashtag 170 00:11:36,720 --> 00:11:41,240 Speaker 1: this and hashtag that in support of BLM? What did 171 00:11:41,280 --> 00:11:44,640 Speaker 1: that accomplish? Do the people that really thought that that 172 00:11:44,760 --> 00:11:47,800 Speaker 1: was moral and righteous? And just do they feel good 173 00:11:47,800 --> 00:11:52,000 Speaker 1: about themselves now? If they do, they're delusional. They're delusional. 174 00:11:52,920 --> 00:11:55,000 Speaker 1: The Democrats are going to do everything they can. They're 175 00:11:55,040 --> 00:11:58,520 Speaker 1: like people, They're like toddlers caught in a lie where 176 00:11:58,559 --> 00:12:00,600 Speaker 1: they will not face the consequence there just gonna keep 177 00:12:00,640 --> 00:12:05,640 Speaker 1: lying and lying and lying until somebody finally just brings 178 00:12:05,679 --> 00:12:09,120 Speaker 1: down the wrath and righteous fury of a higher power 179 00:12:09,200 --> 00:12:12,280 Speaker 1: upon them. The Democrats are just gonna lie, They're gonna say, 180 00:12:12,280 --> 00:12:14,600 Speaker 1: oh no, this isn't what happened, This is not what 181 00:12:14,679 --> 00:12:17,679 Speaker 1: you've seen, this is not the reality. No it is. 182 00:12:18,520 --> 00:12:21,000 Speaker 1: Now we live in a country where police are shot 183 00:12:21,040 --> 00:12:25,199 Speaker 1: for no reason other than being police, because there are 184 00:12:25,200 --> 00:12:28,440 Speaker 1: people out there who believe the mainstream talking points of 185 00:12:28,480 --> 00:12:31,360 Speaker 1: the media on the Democrat Party. And then after those 186 00:12:31,400 --> 00:12:35,880 Speaker 1: cops are shot and clinging to life, there are random 187 00:12:35,960 --> 00:12:39,720 Speaker 1: Biden voters who gather outside the hospital saying, yeah, that's right, 188 00:12:39,760 --> 00:12:45,120 Speaker 1: those people should die. Savage barbarism. And that's what rooting 189 00:12:45,160 --> 00:12:49,240 Speaker 1: for police to die is, savage barbarism. Do you see 190 00:12:49,320 --> 00:12:53,520 Speaker 1: anyone who is on the right, who is ideologically conservative 191 00:12:54,080 --> 00:12:59,920 Speaker 1: doing this? Ever, No, you do not. Why is that 192 00:13:01,280 --> 00:13:04,280 Speaker 1: there's no moral equivalence here between the two sides. The 193 00:13:04,440 --> 00:13:13,760 Speaker 1: left has completely embraced a corrupt, distorted, insidious, immoral philosophy 194 00:13:13,840 --> 00:13:17,600 Speaker 1: here with BLM, and it may in fact cost them 195 00:13:17,600 --> 00:13:19,800 Speaker 1: the election. And the only way we can really achieve 196 00:13:19,920 --> 00:13:23,959 Speaker 1: justice for all the destruction, all the misery and pain 197 00:13:24,360 --> 00:13:28,640 Speaker 1: and suffering and lies that these people have told for 198 00:13:28,880 --> 00:13:33,120 Speaker 1: months is to defeat them in this election. They have 199 00:13:33,280 --> 00:13:38,640 Speaker 1: earned with BLM alone, the Democrats have earned every second 200 00:13:38,960 --> 00:13:47,160 Speaker 1: of four more years of President Donald J. Trump. You're 201 00:13:47,200 --> 00:13:55,400 Speaker 1: in this is the Bucksex and Show podcast. So mine 202 00:13:55,400 --> 00:13:59,520 Speaker 1: wants to apease domestic terrist and my plan is to 203 00:13:59,640 --> 00:14:03,920 Speaker 1: arrest domestic terrorists. And we also believe that if you 204 00:14:04,040 --> 00:14:08,840 Speaker 1: murder a police officer, you should receive the death penalty. Absolutely. 205 00:14:09,280 --> 00:14:11,920 Speaker 1: The President is laying out the very clear choice that 206 00:14:11,960 --> 00:14:17,319 Speaker 1: the American people have, where you can either support the 207 00:14:17,640 --> 00:14:25,240 Speaker 1: political party that believes in pandering, in placating, supporting, openly 208 00:14:25,320 --> 00:14:29,240 Speaker 1: allying with this anti cop movement, because that's really what 209 00:14:29,280 --> 00:14:32,800 Speaker 1: it is, or you could support a political party that, 210 00:14:32,840 --> 00:14:35,680 Speaker 1: as imperfect as it may be, does at least have 211 00:14:35,840 --> 00:14:38,920 Speaker 1: some of the clear moral questions of our day. Correct, 212 00:14:39,720 --> 00:14:43,720 Speaker 1: the police are the good guys and gals, The police 213 00:14:44,040 --> 00:14:46,440 Speaker 1: are the good team and all of this there what 214 00:14:46,680 --> 00:14:50,960 Speaker 1: keeps us safe? There, what prevents us from having the 215 00:14:51,040 --> 00:14:54,120 Speaker 1: kinds of anarchy and violence in the streets that we've 216 00:14:54,120 --> 00:14:56,040 Speaker 1: started to see a little bit of here and there 217 00:14:56,240 --> 00:14:59,880 Speaker 1: in cities across America. But would be so much worse. 218 00:15:01,680 --> 00:15:04,760 Speaker 1: But as if it wasn't just clarifying enough over the 219 00:15:04,800 --> 00:15:12,520 Speaker 1: weekend that BLM was freaking out over a whole bunch 220 00:15:12,560 --> 00:15:15,280 Speaker 1: of different issues, as they tend to do. You also 221 00:15:15,400 --> 00:15:19,440 Speaker 1: had in addition to that, right, you had the protesters 222 00:15:19,440 --> 00:15:23,520 Speaker 1: outside the hospital. You had the kneeling, the NFL kneeling, 223 00:15:23,520 --> 00:15:27,320 Speaker 1: which you'll get into. But you had this incident in Lancaster, 224 00:15:27,440 --> 00:15:34,280 Speaker 1: Pennsylvania that was utterly mind blowing. Okay, here you had 225 00:15:34,400 --> 00:15:39,720 Speaker 1: and the Lancaster PD did the right thing. The Lancaster 226 00:15:39,880 --> 00:15:45,880 Speaker 1: PD released the body camera footage right away because they 227 00:15:46,000 --> 00:15:51,080 Speaker 1: recognized that if this got out, there might be a 228 00:15:51,200 --> 00:15:54,760 Speaker 1: real problem here, right, there might be a real issue. 229 00:15:55,280 --> 00:15:57,560 Speaker 1: I'm rather rather if the story got out without the 230 00:15:57,920 --> 00:16:03,960 Speaker 1: attendant body camp footage. And here's what you see. It's 231 00:16:04,120 --> 00:16:06,200 Speaker 1: it's very clear. There's a police officer's call to a 232 00:16:06,240 --> 00:16:11,320 Speaker 1: domestic disturbance call, all right, and it's all very clear 233 00:16:11,400 --> 00:16:13,720 Speaker 1: the body camera. A guy named Ricardo Munos, who had 234 00:16:13,880 --> 00:16:17,760 Speaker 1: attacked people before, was a criminal, who would attacked people 235 00:16:18,040 --> 00:16:23,680 Speaker 1: with a knife before, and he comes running out, it's 236 00:16:23,720 --> 00:16:26,440 Speaker 1: all on video, running out of this home in Lancaster 237 00:16:27,360 --> 00:16:30,000 Speaker 1: at the police officer who runs away from him and 238 00:16:30,160 --> 00:16:32,520 Speaker 1: only turns when and when he has to because the 239 00:16:32,560 --> 00:16:37,680 Speaker 1: guy has a knife raised to stab him. The police 240 00:16:37,720 --> 00:16:43,640 Speaker 1: posted this bodycam video. This is as clear a use 241 00:16:43,680 --> 00:16:46,320 Speaker 1: of Ford situation as possible. Let me be very clear, 242 00:16:46,400 --> 00:16:50,960 Speaker 1: Ricardo Muno's, under our law, deserve to be shot by 243 00:16:51,040 --> 00:16:54,680 Speaker 1: this law enforcement officer. If you try to stab someone 244 00:16:54,960 --> 00:16:57,960 Speaker 1: who is anyone but a cop in particular, and you 245 00:16:58,040 --> 00:17:02,880 Speaker 1: get shot, that's your fault. Now you could say it's 246 00:17:02,960 --> 00:17:05,399 Speaker 1: the guys and they talked about he's on the I 247 00:17:05,400 --> 00:17:10,480 Speaker 1: believe he's on the spectrum. He's emotionally or psychologically has problems. 248 00:17:10,200 --> 00:17:13,960 Speaker 1: That's that's a shame and that's sad. But you can't 249 00:17:13,960 --> 00:17:16,400 Speaker 1: try to stab someone to death. Do you know what 250 00:17:16,560 --> 00:17:21,680 Speaker 1: BLM did over the weekend? Do you know what BLM 251 00:17:21,720 --> 00:17:28,320 Speaker 1: did in response to all of this rioted? That's right, 252 00:17:28,359 --> 00:17:33,240 Speaker 1: there was rioting at Lancaster, Pennsylvania because a cop shot 253 00:17:33,240 --> 00:17:36,119 Speaker 1: a guy who ran out of a house with a knife. 254 00:17:36,119 --> 00:17:39,040 Speaker 1: It's on video. There's no question ran out with a 255 00:17:39,119 --> 00:17:42,199 Speaker 1: knife trying to stab a police officer running at him 256 00:17:42,200 --> 00:17:45,040 Speaker 1: with the knife raised. It looks like something out of 257 00:17:45,040 --> 00:17:47,960 Speaker 1: a training video and a police shoot house. I've done 258 00:17:48,000 --> 00:17:50,840 Speaker 1: this training before, and this is the shoot him as 259 00:17:50,840 --> 00:17:52,919 Speaker 1: many times as you have to to stop the threat 260 00:17:52,920 --> 00:17:57,480 Speaker 1: portion of that training. And yet that's not what the 261 00:17:57,600 --> 00:18:00,200 Speaker 1: BLM protesters are willing to take from as it's not 262 00:18:00,280 --> 00:18:04,520 Speaker 1: what they're willing to say. You know, that's a circumstance 263 00:18:04,600 --> 00:18:10,359 Speaker 1: that continues to just it's it's mind blowing that we 264 00:18:10,480 --> 00:18:13,760 Speaker 1: are now seeing them look at situations that could be 265 00:18:13,800 --> 00:18:16,600 Speaker 1: the textbook case of legitimate police use of forth and 266 00:18:16,640 --> 00:18:21,080 Speaker 1: saying no, we're going to riot anyway. That's BLM. Thanks 267 00:18:21,080 --> 00:18:26,080 Speaker 1: for listening to the SWAT. Remember to subscribe on Apple podcasts, 268 00:18:26,200 --> 00:18:30,879 Speaker 1: the iHeartRadio app, or wherever you get your podcasts. What 269 00:18:31,000 --> 00:18:36,560 Speaker 1: has been the Democrat response to the shootings over the weekend. 270 00:18:36,600 --> 00:18:38,200 Speaker 1: There are a lot of shootings we could be talking 271 00:18:38,240 --> 00:18:42,880 Speaker 1: about dozens of people shot in Chicago. Shootings are still 272 00:18:42,920 --> 00:18:45,359 Speaker 1: at a very high rate compared to last year in 273 00:18:45,359 --> 00:18:48,760 Speaker 1: New York. But talking about these two sheriff's deputies who 274 00:18:49,280 --> 00:18:53,760 Speaker 1: were almost murdered by someone, and then the people cheering 275 00:18:53,800 --> 00:18:55,840 Speaker 1: for the cops to actually die in the hospital and 276 00:18:55,920 --> 00:18:58,280 Speaker 1: telling other cops standing outside the hospital that you should 277 00:18:58,320 --> 00:19:01,920 Speaker 1: die too, does anyone really find this to be surprising? 278 00:19:01,960 --> 00:19:04,560 Speaker 1: Given what we're told all the time about police, given 279 00:19:04,560 --> 00:19:10,480 Speaker 1: that we have multi millionaire celebrities who think that this 280 00:19:10,520 --> 00:19:15,600 Speaker 1: is a movement they should be supporting. Does anyone else 281 00:19:15,680 --> 00:19:21,480 Speaker 1: find that to be problematic? Given what we're seeing, this 282 00:19:21,560 --> 00:19:24,119 Speaker 1: was all entirely This is playing out exactly the way 283 00:19:24,119 --> 00:19:26,760 Speaker 1: it did before in twenty fourteen, twenty fifteen, the original 284 00:19:26,800 --> 00:19:31,120 Speaker 1: BLM movement. There is nothing about this is that is surprising. 285 00:19:31,560 --> 00:19:33,480 Speaker 1: The only thing that some of us look at and 286 00:19:33,920 --> 00:19:40,119 Speaker 1: find truly stunning is I think how much corporate America 287 00:19:40,359 --> 00:19:44,159 Speaker 1: decided that they would go along with this. That's the 288 00:19:44,240 --> 00:19:47,600 Speaker 1: only aspect of this that is a little bit different. 289 00:19:47,720 --> 00:19:50,000 Speaker 1: Last time, perhaps they were supported, but now it was 290 00:19:50,040 --> 00:19:53,160 Speaker 1: all just bend the knee, beg for forgiveness, reach down 291 00:19:53,160 --> 00:19:56,960 Speaker 1: to the ground, kiss the floors, say I'm so sorry BLM. 292 00:19:57,080 --> 00:20:00,760 Speaker 1: Please don't boycott us any thing, to be on your 293 00:20:00,760 --> 00:20:07,919 Speaker 1: good side. But now they've shot some cops, or at 294 00:20:08,000 --> 00:20:10,400 Speaker 1: least some cops have been shot by somebody who I've 295 00:20:10,480 --> 00:20:13,680 Speaker 1: yet to hear of another rationalization or explanation for why 296 00:20:13,640 --> 00:20:18,040 Speaker 1: I but do this other than BLM. Now they've got 297 00:20:18,080 --> 00:20:20,760 Speaker 1: a problem on their hands. So what does Biden immediately 298 00:20:20,760 --> 00:20:25,920 Speaker 1: focus on what does Biden want to talk to everybody about. Oh, 299 00:20:25,960 --> 00:20:31,560 Speaker 1: that's right, gun control, weapons of war. That's the that's 300 00:20:31,560 --> 00:20:34,159 Speaker 1: the latest from Joe Biden about this. That that's going 301 00:20:34,240 --> 00:20:39,679 Speaker 1: to stop this. Let's have another useless conversation where Democrats 302 00:20:39,720 --> 00:20:42,240 Speaker 1: pretend like there's any hope of getting guns out of 303 00:20:42,240 --> 00:20:44,920 Speaker 1: the hands of all criminals in this country. The Vice 304 00:20:44,960 --> 00:20:51,119 Speaker 1: President tweeted, weapons of war have no place in our communities. 305 00:20:51,680 --> 00:20:56,600 Speaker 1: We need to ban assault weapons and high capacity magazines. 306 00:21:00,280 --> 00:21:05,920 Speaker 1: You know, I'm sorry, but earlier Biden called the shooting unconscionable, 307 00:21:07,119 --> 00:21:10,919 Speaker 1: and I have to say, this is it. It's unconscionable. 308 00:21:11,000 --> 00:21:14,240 Speaker 1: That's true. But Democrats don't get to pretend that they 309 00:21:14,320 --> 00:21:19,400 Speaker 1: haven't played a role in all this, including Joe Biden, right, 310 00:21:19,560 --> 00:21:24,359 Speaker 1: including the biggest voices in the media and the national 311 00:21:24,359 --> 00:21:27,960 Speaker 1: news media. Matt Walsh tweeted this out. I've retweeted because 312 00:21:27,960 --> 00:21:29,879 Speaker 1: I agree with them. You have helped to spread this 313 00:21:29,920 --> 00:21:32,960 Speaker 1: is in response to Joe Biden saying this cold blooded 314 00:21:32,960 --> 00:21:36,080 Speaker 1: shooting is unconscionable. Walsh tweeted, you have helped to spread 315 00:21:36,080 --> 00:21:39,440 Speaker 1: the baseless lie that racist police are hunting black people. 316 00:21:39,760 --> 00:21:41,840 Speaker 1: You have not stood for law enforcement and instead of 317 00:21:41,880 --> 00:21:49,640 Speaker 1: signed with the scumbag criminals, you're responsible for this. You're disgusting, spineless, fraudulent, hypocrite. Yes, amen, 318 00:21:49,920 --> 00:21:56,359 Speaker 1: absolutely totally agree. And look, you know this is really 319 00:21:56,359 --> 00:22:00,439 Speaker 1: exposing the difference between the left and the right on 320 00:22:00,560 --> 00:22:03,439 Speaker 1: law enforcement and on what kind of communities, what kind 321 00:22:03,480 --> 00:22:06,600 Speaker 1: of society we should be living in. I mean, right now, 322 00:22:06,880 --> 00:22:08,720 Speaker 1: from what you saw on Lancaster and if you haven't 323 00:22:08,720 --> 00:22:11,400 Speaker 1: seen the video, you should. You should see it. It's disturbing, 324 00:22:11,400 --> 00:22:15,720 Speaker 1: but you should understand how absurd this BLM movement is. 325 00:22:15,760 --> 00:22:18,920 Speaker 1: People are rioting because a guy got shot because her 326 00:22:19,280 --> 00:22:22,200 Speaker 1: he had already had a criminal history of stabbing people 327 00:22:22,280 --> 00:22:25,800 Speaker 1: with knives in the past, and he runs out to 328 00:22:25,840 --> 00:22:28,760 Speaker 1: stab a cop during a domestic violence call or domestic 329 00:22:28,800 --> 00:22:32,600 Speaker 1: dispute call, and you get shot and they riot? What 330 00:22:32,640 --> 00:22:38,000 Speaker 1: do they? I mean? Apparently BLM rioters believe that social 331 00:22:38,080 --> 00:22:41,040 Speaker 1: justice means cops should allow themselves to be stabbed to 332 00:22:41,240 --> 00:22:45,280 Speaker 1: death with a knife by a criminal lunatic. Otherwise though, 333 00:22:45,359 --> 00:22:52,040 Speaker 1: they're guilty of oppression and systemic racism. Yeah, that's where 334 00:22:52,040 --> 00:22:56,399 Speaker 1: we are now. The extremes that we used to talk about, 335 00:22:56,440 --> 00:22:58,080 Speaker 1: what if somebody pulls a knife on a cop. Can 336 00:22:58,119 --> 00:23:02,520 Speaker 1: they use violence? Then BLM says no, No, if the 337 00:23:02,560 --> 00:23:05,320 Speaker 1: person that shot is a minority, if it's a white 338 00:23:05,359 --> 00:23:09,200 Speaker 1: guy who tries to stab a cop. The right conservatives 339 00:23:09,240 --> 00:23:11,840 Speaker 1: Trump will say, yeah, it doesn't matter what color you are. 340 00:23:11,880 --> 00:23:13,639 Speaker 1: If you try to stab a cop, you are going 341 00:23:13,720 --> 00:23:17,800 Speaker 1: to get shot, and that's justified. It's it's not to say, 342 00:23:17,840 --> 00:23:20,639 Speaker 1: it's not celebrated. It's not a happy thing. It's always 343 00:23:20,640 --> 00:23:26,720 Speaker 1: a tragedy, but it's justified. They reject all this. Of course, 344 00:23:27,240 --> 00:23:29,760 Speaker 1: they've created this false narrative and they'll stick to it 345 00:23:29,760 --> 00:23:35,360 Speaker 1: at all costs. Do you think that the fraudulent millionaire 346 00:23:35,600 --> 00:23:39,639 Speaker 1: journos on anchors over at CNN, you think that they 347 00:23:39,680 --> 00:23:41,440 Speaker 1: feel badly about any of the stuff that's happening to 348 00:23:41,440 --> 00:23:46,160 Speaker 1: this country, about the division, about the divisiveness. No, they 349 00:23:46,160 --> 00:23:48,560 Speaker 1: don't care. They actually think that they are the good 350 00:23:48,600 --> 00:23:51,639 Speaker 1: guys in this equation. They think the political movement that 351 00:23:51,680 --> 00:23:54,480 Speaker 1: they support. Sure, there are some people who are a 352 00:23:54,520 --> 00:23:56,560 Speaker 1: part of it who but that's there are radicals in 353 00:23:56,640 --> 00:23:59,880 Speaker 1: every movement. They'll say. Now they'll turn around and say 354 00:24:00,119 --> 00:24:02,800 Speaker 1: Trump's a Russian asset and they're doing all of the 355 00:24:02,880 --> 00:24:05,040 Speaker 1: things I have to tell you I wish I had 356 00:24:05,040 --> 00:24:06,600 Speaker 1: written out I've said it here on the show, but 357 00:24:06,600 --> 00:24:09,199 Speaker 1: I've been thinking about if I had written out what 358 00:24:09,280 --> 00:24:15,480 Speaker 1: I thought the left's anti Trump attack plan would be. Um, 359 00:24:16,240 --> 00:24:21,840 Speaker 1: you know what the playbook would be. You know, I've 360 00:24:21,840 --> 00:24:25,880 Speaker 1: gotten it all right. They're gonna pull out the Russia stuff. 361 00:24:26,359 --> 00:24:29,720 Speaker 1: They're they're gonna use all the old attacks. Plus they're 362 00:24:29,720 --> 00:24:32,720 Speaker 1: gonna say COVID is all his fault. You know, They're 363 00:24:32,760 --> 00:24:35,520 Speaker 1: just they're gonna do and they're gonna be prepared. We'll 364 00:24:35,520 --> 00:24:38,960 Speaker 1: talk more about this is be prepared for lawfare against 365 00:24:39,000 --> 00:24:42,639 Speaker 1: the election result, which increasingly I think is we should 366 00:24:42,640 --> 00:24:44,359 Speaker 1: expect this. This is going to happen. But we'll get 367 00:24:44,400 --> 00:24:48,800 Speaker 1: into that more in a little bit. Um, I mean 368 00:24:48,800 --> 00:24:51,280 Speaker 1: this is this is the country's choice right now. There 369 00:24:51,640 --> 00:24:55,240 Speaker 1: are two cops who were shot, another cop almost stabbed 370 00:24:55,240 --> 00:24:58,320 Speaker 1: to death. Think about that. I mean, this cop, this 371 00:24:58,640 --> 00:25:00,399 Speaker 1: CoP's got a family, wants to go home to his 372 00:25:00,440 --> 00:25:03,440 Speaker 1: family every night, wants to live, doesn't want to be 373 00:25:03,480 --> 00:25:07,600 Speaker 1: stabbed to death. Is doing his jobs, serving his community, 374 00:25:08,760 --> 00:25:11,199 Speaker 1: and some guy runs at him with a raised butcher knife, 375 00:25:11,359 --> 00:25:13,760 Speaker 1: trying to stab him, and he runs away. The cop 376 00:25:13,840 --> 00:25:16,760 Speaker 1: tries to not have to use his weapon, shoots the guy, 377 00:25:17,080 --> 00:25:20,960 Speaker 1: and people riot over this, So that that's now the more, 378 00:25:21,119 --> 00:25:25,000 Speaker 1: that's now the moral decision of BLM. That if, if you, 379 00:25:26,520 --> 00:25:29,880 Speaker 1: if a cop has to use lethal force to defend himself, 380 00:25:31,200 --> 00:25:36,480 Speaker 1: even if it's entirely justified, anyone who believes in BLM 381 00:25:36,520 --> 00:25:41,600 Speaker 1: has a right to go break into strangers stores, steal 382 00:25:41,680 --> 00:25:46,920 Speaker 1: their stuff, burn down property, threaten people in the streets, 383 00:25:46,960 --> 00:25:53,000 Speaker 1: and attack other police officers. That's that's now the movement 384 00:25:53,000 --> 00:25:56,280 Speaker 1: the Democrats support. That's what the country has been through 385 00:25:56,560 --> 00:26:03,119 Speaker 1: months of riots around right, These are riots about about 386 00:26:03,160 --> 00:26:07,760 Speaker 1: what about ending racism? It seems like there was a 387 00:26:07,760 --> 00:26:10,399 Speaker 1: lot of resentment in these riots, a lot of anger 388 00:26:10,440 --> 00:26:12,960 Speaker 1: and rage really just directed at Trump and all of 389 00:26:12,960 --> 00:26:16,000 Speaker 1: his supporters, but it was wrapped up in this pretense of, oh, 390 00:26:16,080 --> 00:26:19,320 Speaker 1: it's about unarmed black men being killed by cops, which 391 00:26:19,359 --> 00:26:23,280 Speaker 1: is happening all the time, actually happens very very rarely. 392 00:26:24,920 --> 00:26:26,800 Speaker 1: Doesn't matter, They don't care if it happened once, they 393 00:26:26,800 --> 00:26:28,600 Speaker 1: would still be talking about this night. You know, if 394 00:26:28,680 --> 00:26:30,600 Speaker 1: next year there were one black man who was unarmed 395 00:26:30,640 --> 00:26:34,000 Speaker 1: killed by police, they there would still be rioters who 396 00:26:34,080 --> 00:26:37,400 Speaker 1: think they're justified because of the history of oppression, you see, 397 00:26:37,480 --> 00:26:39,119 Speaker 1: because of all the times in the past, so it 398 00:26:39,160 --> 00:26:42,960 Speaker 1: never ends, it never stops. It's not about moral action today. 399 00:26:43,000 --> 00:26:45,960 Speaker 1: It's not about what's fair, what's just right now, it's 400 00:26:45,960 --> 00:26:50,520 Speaker 1: what some people feel like. Remember the Democrats all about 401 00:26:50,520 --> 00:26:55,159 Speaker 1: the feels, all about feelings. But here's your choice. Police 402 00:26:55,160 --> 00:26:59,000 Speaker 1: are attacked, shot, riots are happening, and just over the weekend, 403 00:26:59,080 --> 00:27:02,160 Speaker 1: Biden sweets weapons of war have no place in our communities. 404 00:27:02,359 --> 00:27:05,320 Speaker 1: We need to ban assault weapons and high capacity magazines. 405 00:27:06,600 --> 00:27:09,320 Speaker 1: I mean, it's almost like it's almost like a tweet 406 00:27:09,480 --> 00:27:11,600 Speaker 1: robot or something put this out. Well, I guess it's 407 00:27:11,600 --> 00:27:13,720 Speaker 1: probably Biden's staff, so it is a tweet robot in 408 00:27:13,720 --> 00:27:19,080 Speaker 1: a sense, ban assault weapons. The guy who shot the 409 00:27:19,119 --> 00:27:23,240 Speaker 1: two compss on video used to pistol. Banning assault weapons 410 00:27:23,280 --> 00:27:26,800 Speaker 1: would do nothing high capacity magazines. You don't need a 411 00:27:26,880 --> 00:27:30,159 Speaker 1: high capacity magazine when you can walk up to a 412 00:27:30,200 --> 00:27:32,800 Speaker 1: window and shoot two cops who are sitting there peacefully 413 00:27:32,840 --> 00:27:37,560 Speaker 1: doing their jobs. What does that have to do with anything? 414 00:27:39,200 --> 00:27:42,960 Speaker 1: And on the President's side, he responds to this shooting 415 00:27:43,920 --> 00:27:49,960 Speaker 1: quote animals that must be hit hard end quote. Do 416 00:27:50,000 --> 00:27:54,119 Speaker 1: your choice, America, which one of these people is serious? 417 00:27:54,160 --> 00:27:57,439 Speaker 1: About keeping you in your community safe. Which one of 418 00:27:57,480 --> 00:28:01,840 Speaker 1: these people is serious about protecting all life, all lives 419 00:28:01,880 --> 00:28:06,000 Speaker 1: in this country. It's not Joe Biden. That much is 420 00:28:06,119 --> 00:28:12,080 Speaker 1: very clear. You're in the Freedom hunt. This is the 421 00:28:12,200 --> 00:28:19,560 Speaker 1: Buck Sexton Show podcast. They're not protest is their anarchists. 422 00:28:19,600 --> 00:28:22,639 Speaker 1: They're agitators and the rioters who are they? They're people 423 00:28:22,680 --> 00:28:27,080 Speaker 1: that in many cases are paid and then they're stupid kids. 424 00:28:27,160 --> 00:28:30,880 Speaker 1: Pay people that we're looking at right now. If we're 425 00:28:30,880 --> 00:28:33,520 Speaker 1: looking at him right now, you're telling no, not yet, 426 00:28:33,600 --> 00:28:36,200 Speaker 1: but I'll you'll be going to be finding out pretty soon. Look, 427 00:28:36,680 --> 00:28:39,480 Speaker 1: they're stupid people too, because they'll be overthrown as soon 428 00:28:39,520 --> 00:28:42,560 Speaker 1: as they get their wish. These people don't respect them. 429 00:28:42,600 --> 00:28:45,400 Speaker 1: They're just using them money. These are super liberal people 430 00:28:45,400 --> 00:28:49,400 Speaker 1: that have money and they're helping these anarchists and their 431 00:28:49,480 --> 00:28:53,680 Speaker 1: agitators and their dangers. The super labs who live in 432 00:28:54,920 --> 00:29:00,760 Speaker 1: mansions and ultra high end apartments in either gated communities 433 00:29:01,120 --> 00:29:04,840 Speaker 1: or fancy doorman buildings depending on the city or the 434 00:29:04,880 --> 00:29:08,400 Speaker 1: area of the country, live in the The lib elites 435 00:29:09,720 --> 00:29:11,680 Speaker 1: who support all this stuff in so many ways are 436 00:29:11,720 --> 00:29:16,440 Speaker 1: really the most odious of all because they do so 437 00:29:16,840 --> 00:29:20,520 Speaker 1: for their own reasons of moral preening. Look at me, 438 00:29:20,640 --> 00:29:22,840 Speaker 1: Look at how good I am, looking at virtuous I am. 439 00:29:23,520 --> 00:29:27,160 Speaker 1: You know, people in their mansions in Greenwich, Connecticut. Oh, 440 00:29:27,200 --> 00:29:30,360 Speaker 1: I'm so supportive of BLM. What a what an idiot 441 00:29:30,440 --> 00:29:34,040 Speaker 1: fraud one would have to be? Yeah, sure, sure. The 442 00:29:34,320 --> 00:29:37,680 Speaker 1: same Libs who make sure their children go to the 443 00:29:37,880 --> 00:29:44,520 Speaker 1: most elite, least diverse private schools possible. Those those same 444 00:29:44,520 --> 00:29:46,200 Speaker 1: people are the ones that are always talking about how 445 00:29:46,280 --> 00:29:49,880 Speaker 1: much they support BLM. Oh gosh, it's almost like they're 446 00:29:49,960 --> 00:29:53,760 Speaker 1: huge hypocrites and there they live in constant terror of 447 00:29:53,840 --> 00:30:00,000 Speaker 1: being found out for being such utter frauds. But Trump said, 448 00:30:00,000 --> 00:30:03,160 Speaker 1: as they're looking into them. I hope that's true. Friends. 449 00:30:03,160 --> 00:30:05,880 Speaker 1: I mean, I've I've lost all hope. As I told 450 00:30:05,920 --> 00:30:07,920 Speaker 1: you well, I never had any hope, but I've I've 451 00:30:08,000 --> 00:30:11,640 Speaker 1: now come to the conclusion that I've been right along 452 00:30:11,680 --> 00:30:13,360 Speaker 1: with the Durham pro it's really just not going to 453 00:30:13,440 --> 00:30:17,200 Speaker 1: do anything. Nothing's going to come from it. I've been 454 00:30:17,240 --> 00:30:20,440 Speaker 1: saying it for many, many, many months now. And I 455 00:30:20,760 --> 00:30:23,200 Speaker 1: wonder when they say they're looking into the funding sources, 456 00:30:23,240 --> 00:30:25,080 Speaker 1: I mean they might be looking into it, but not 457 00:30:25,080 --> 00:30:27,960 Speaker 1: willing to really do anything about it. You know, we 458 00:30:28,080 --> 00:30:31,280 Speaker 1: always back down to the other side on these things. 459 00:30:31,320 --> 00:30:34,560 Speaker 1: We always say, oh, it would be too disruptive if 460 00:30:34,600 --> 00:30:38,280 Speaker 1: the DOJ really held them accountable, it would be too 461 00:30:38,440 --> 00:30:43,520 Speaker 1: problematic if we decided to punish them for what they've 462 00:30:43,520 --> 00:30:46,479 Speaker 1: done wrong, even though they deserve it. They'll be so 463 00:30:46,640 --> 00:30:51,920 Speaker 1: upset if we do that. And so that's why I 464 00:30:52,040 --> 00:30:53,720 Speaker 1: just I don't think that we're going to see any 465 00:30:54,240 --> 00:30:56,200 Speaker 1: any justice when it comes to that. I don't think 466 00:30:56,240 --> 00:30:59,160 Speaker 1: we're going to see anyone who has been funding or 467 00:30:59,200 --> 00:31:02,160 Speaker 1: assisting these They'll say they were assisting peaceful protests. It's 468 00:31:02,200 --> 00:31:04,600 Speaker 1: not their fault. If it turned into riots. Man, it's 469 00:31:04,600 --> 00:31:06,560 Speaker 1: not their fault. If all of a sudden they're burning 470 00:31:06,600 --> 00:31:14,400 Speaker 1: down buildings and doing bad stuff, then what's next year? 471 00:31:15,640 --> 00:31:20,720 Speaker 1: The NFL. I didn't watch any of it. I did 472 00:31:20,720 --> 00:31:23,479 Speaker 1: watch a very excellent and I would recommend that some 473 00:31:23,520 --> 00:31:28,600 Speaker 1: of you consider it consider it more. I did watch tennis, 474 00:31:28,800 --> 00:31:32,000 Speaker 1: the US Open, that's right, the Open of the US Baby, 475 00:31:32,040 --> 00:31:36,800 Speaker 1: the most patriotic American tennis tournament. I did watch it, 476 00:31:36,880 --> 00:31:39,320 Speaker 1: and it was an excellent match. And there was no 477 00:31:39,520 --> 00:31:41,560 Speaker 1: BLM stuff at least in the match that I saw. 478 00:31:41,880 --> 00:31:44,600 Speaker 1: None of that, Although I do know that the Woman's Champion, 479 00:31:44,680 --> 00:31:47,480 Speaker 1: Naomi Osaka, has made a big deal about about BLM, 480 00:31:49,040 --> 00:31:51,760 Speaker 1: but I just can't handle all this stuff with the NFL. 481 00:31:52,240 --> 00:31:55,800 Speaker 1: I'm sorry what I also love them people. Now the 482 00:31:55,880 --> 00:31:58,480 Speaker 1: new line is how do you not know what they're 483 00:31:58,520 --> 00:32:01,400 Speaker 1: protesting for? At this point, I'm sorry, what are we 484 00:32:01,440 --> 00:32:05,719 Speaker 1: gonna say? Justice? They're protesting because of the bad things 485 00:32:05,800 --> 00:32:10,800 Speaker 1: that happen in the world. I'm protesting badness during the 486 00:32:10,880 --> 00:32:17,320 Speaker 1: national anthem. Oh, I'm protesting racism during the national anthem. 487 00:32:18,360 --> 00:32:21,760 Speaker 1: So you're using the clear disrespect of your nation to 488 00:32:21,880 --> 00:32:24,680 Speaker 1: draw attention to yourself. And then when you're proaching on well, 489 00:32:24,720 --> 00:32:26,520 Speaker 1: what do you what is your problem? What do you want? 490 00:32:27,240 --> 00:32:31,640 Speaker 1: It's Oh, it's it's this very broad, amorphous concept that 491 00:32:31,720 --> 00:32:34,760 Speaker 1: will never entirely go away, so I can always complain 492 00:32:34,800 --> 00:32:37,960 Speaker 1: about it. There's always an excuse for agitation whenever I 493 00:32:38,040 --> 00:32:48,320 Speaker 1: want to agitate. I'm completely and utterly disgusted by this NFL. 494 00:32:48,520 --> 00:32:50,560 Speaker 1: It really it's NFL and NBA right now are the 495 00:32:50,560 --> 00:32:53,160 Speaker 1: two leagues that have been the worst when it comes 496 00:32:53,160 --> 00:32:56,080 Speaker 1: to all of this. And I don't think that anyone 497 00:32:56,120 --> 00:32:59,280 Speaker 1: should hold back. I think that we should speak honestly 498 00:32:59,520 --> 00:33:02,000 Speaker 1: about what we're what we're seeing here, what this is 499 00:33:02,000 --> 00:33:07,640 Speaker 1: all about their ungrateful millionaire celebrity cowards. Oh, I don't 500 00:33:07,640 --> 00:33:09,560 Speaker 1: want to be the one online team is getting weird 501 00:33:09,600 --> 00:33:12,000 Speaker 1: looks in the locker room. So I'll bend the need too, 502 00:33:12,000 --> 00:33:16,760 Speaker 1: even though I know this is nonsense. Okay, Yeah, some 503 00:33:16,800 --> 00:33:21,160 Speaker 1: people do a lot for their country being a football player. Uh, 504 00:33:21,400 --> 00:33:25,720 Speaker 1: that's that's a very lucky it's a very privileged position. 505 00:33:27,560 --> 00:33:30,240 Speaker 1: You know, a lot of Americans, I think, believe that 506 00:33:30,280 --> 00:33:33,560 Speaker 1: professional athletes, because of the teamwork and discipline involved in 507 00:33:33,640 --> 00:33:36,400 Speaker 1: reaching that level, we're just going to be a higher 508 00:33:36,520 --> 00:33:40,400 Speaker 1: character than say Hollywood actors with their absurd lib politics. 509 00:33:40,720 --> 00:33:42,960 Speaker 1: I think that illusion is being shattered, at least for 510 00:33:42,960 --> 00:33:47,240 Speaker 1: the NFL and f NBA. I think they're overpaid brats, 511 00:33:48,560 --> 00:33:51,280 Speaker 1: and I think that they their ratings should crater and 512 00:33:51,440 --> 00:33:54,720 Speaker 1: people should express their displeasure. This is entertainment. We don't 513 00:33:54,760 --> 00:33:57,440 Speaker 1: need any of these things. This is to make us, 514 00:33:58,080 --> 00:34:03,320 Speaker 1: you know, feel joy and relaxation and forget about our problems. 515 00:34:03,600 --> 00:34:08,680 Speaker 1: It's not time for a lecture from under educated, overpaid babies. 516 00:34:10,320 --> 00:34:11,960 Speaker 1: That's how I feel about it. I don't know. I 517 00:34:11,960 --> 00:34:14,040 Speaker 1: mean if other people feel differently. That's fine. They're allowed 518 00:34:14,080 --> 00:34:16,880 Speaker 1: to watch it, but I would not advocate. I'm not 519 00:34:16,880 --> 00:34:18,359 Speaker 1: watching any of it, and I did used to watch 520 00:34:18,400 --> 00:34:20,200 Speaker 1: the NFL, and I will not anymore. I thought the 521 00:34:20,239 --> 00:34:22,759 Speaker 1: NBA has been kind of garbage for years now. But 522 00:34:25,400 --> 00:34:31,520 Speaker 1: did any of the entire Washington football team that was 523 00:34:31,600 --> 00:34:34,960 Speaker 1: kneeling together? Did any of them take a knee or 524 00:34:35,000 --> 00:34:38,239 Speaker 1: make any public statement on that field for the two 525 00:34:38,280 --> 00:34:40,720 Speaker 1: cops ambushed and shot who were struggling for their lives 526 00:34:40,800 --> 00:34:43,560 Speaker 1: during that game? Of course not, because you see, the 527 00:34:43,640 --> 00:34:47,280 Speaker 1: NFL doesn't protest in solidarity with honorable and courageous cops. 528 00:34:47,840 --> 00:34:51,080 Speaker 1: But they've got plenty of support for felons who resist arrest, 529 00:34:52,400 --> 00:34:55,759 Speaker 1: don't they, As well as felons who put on a 530 00:34:55,800 --> 00:34:59,719 Speaker 1: football uniform. It's plenty of that too, and yet we 531 00:34:59,800 --> 00:35:05,080 Speaker 1: are supposed to think of them as heroes. You know, 532 00:35:05,360 --> 00:35:07,560 Speaker 1: we all knew right away how many NFL or NBA 533 00:35:07,600 --> 00:35:10,040 Speaker 1: players would take a knee or show solidarity on their 534 00:35:10,120 --> 00:35:14,360 Speaker 1: jerseys for the ambushed LA Sheriff's deputies. The answer was zero, 535 00:35:15,840 --> 00:35:21,480 Speaker 1: because so many of those ungrateful, under educated fools deserve 536 00:35:21,560 --> 00:35:29,360 Speaker 1: nothing but contempt for their social justice stances. We all 537 00:35:29,400 --> 00:35:31,160 Speaker 1: get to make a choice. Your friends, we all got 538 00:35:31,200 --> 00:35:33,320 Speaker 1: to We all get to answer the question, which side 539 00:35:33,320 --> 00:35:38,320 Speaker 1: of this are you on? Morality, law ordered decency, a 540 00:35:38,480 --> 00:35:43,040 Speaker 1: society that believes in individuals as individuals, every person judged 541 00:35:43,040 --> 00:35:47,279 Speaker 1: by their character the color of their skin irrelevant, or 542 00:35:47,400 --> 00:35:55,360 Speaker 1: a society of endless division and police hatred and racial demagoguery. 543 00:35:55,480 --> 00:35:57,640 Speaker 1: We all get to make the choice. Democrats are on 544 00:35:57,640 --> 00:36:01,840 Speaker 1: one side, Republicans are on the other choice. Thanks for 545 00:36:01,920 --> 00:36:05,640 Speaker 1: listening to the buses and show podcasts. Remember to subscribe 546 00:36:05,640 --> 00:36:09,160 Speaker 1: on Apple podcasts, the iHeartRadio app, or wherever you get 547 00:36:09,200 --> 00:36:17,040 Speaker 1: your podcasts. Get ready for a very troubling reality of 548 00:36:17,080 --> 00:36:23,160 Speaker 1: this election cycle. And it's that this election is unlikely 549 00:36:23,320 --> 00:36:29,080 Speaker 1: to be over on the night the votes are cast, irrespective, 550 00:36:29,160 --> 00:36:30,680 Speaker 1: And this is the part you really have to get 551 00:36:30,680 --> 00:36:36,000 Speaker 1: ready for. Irrespective of what the actual voting is doesn't matter. 552 00:36:36,920 --> 00:36:42,719 Speaker 1: It doesn't unless you have some massive Trump landslide. Even then, 553 00:36:42,880 --> 00:36:46,360 Speaker 1: I've got to tell you. Even then, I've got to 554 00:36:46,400 --> 00:36:52,719 Speaker 1: tell you it's probably going to turn into lawfare. They're 555 00:36:52,719 --> 00:36:54,560 Speaker 1: going to fight it out in the courts. There are 556 00:36:54,680 --> 00:36:57,400 Speaker 1: multiple mechanisms, and Democrats have already put in place I 557 00:36:57,400 --> 00:36:59,759 Speaker 1: want to walk you through what people are talking about 558 00:36:59,800 --> 00:37:05,520 Speaker 1: now as a possible soft coup attempt. Two point zero 559 00:37:05,640 --> 00:37:08,120 Speaker 1: wouldn't be the first time, right, the coup that may 560 00:37:08,239 --> 00:37:11,320 Speaker 1: yet come. There was the Michael Anton piece in the 561 00:37:11,360 --> 00:37:14,840 Speaker 1: American mind about this. I've been talking about a coup 562 00:37:14,880 --> 00:37:19,040 Speaker 1: coming possibly for months. The way they'll try to engineer this, 563 00:37:19,120 --> 00:37:24,799 Speaker 1: the mechanism for this, all of it, right, and you 564 00:37:24,880 --> 00:37:28,640 Speaker 1: see you add all this up. The mail in ballot voting, 565 00:37:29,480 --> 00:37:34,480 Speaker 1: you take that, you take the Russia narrative or Russia's 566 00:37:34,520 --> 00:37:37,360 Speaker 1: trying to do things again. We'll get to that. And 567 00:37:37,560 --> 00:37:40,920 Speaker 1: now you have the story that the polls all show 568 00:37:41,000 --> 00:37:43,719 Speaker 1: Biden winning. This is what I'm telling you what the 569 00:37:43,760 --> 00:37:47,759 Speaker 1: Democrat mentality is all show Biden winning. And so if 570 00:37:47,880 --> 00:37:52,399 Speaker 1: come election night, Democrats end up with another surprise, oh, 571 00:37:52,520 --> 00:37:54,960 Speaker 1: just like twenty sixteen and looks like Trump is going 572 00:37:55,000 --> 00:37:57,880 Speaker 1: to be the president for four more years, They've already 573 00:37:58,000 --> 00:38:02,720 Speaker 1: built the narrative. They can easily just say no, don't believe, 574 00:38:02,760 --> 00:38:06,480 Speaker 1: we don't believe it. We don't believe it's true. Trump 575 00:38:06,520 --> 00:38:09,920 Speaker 1: didn't win. The mail in ballots are still being counted 576 00:38:10,280 --> 00:38:13,960 Speaker 1: from all these states that have allowed unsecured loose ballots 577 00:38:14,040 --> 00:38:16,480 Speaker 1: is floating around there. Who knows how many are in 578 00:38:16,520 --> 00:38:19,879 Speaker 1: the mail? Who knows if they send out millions, they 579 00:38:19,920 --> 00:38:22,479 Speaker 1: only need perhaps a couple of hundred thousand to even 580 00:38:22,800 --> 00:38:25,920 Speaker 1: be sent in any capacity to claim that we can't know, 581 00:38:26,440 --> 00:38:29,399 Speaker 1: so then they extend it out and it also then 582 00:38:29,440 --> 00:38:34,600 Speaker 1: creates a delay because well, what about what about postmarking 583 00:38:34,880 --> 00:38:38,200 Speaker 1: the next day? Are they gonna be able to count 584 00:38:38,200 --> 00:38:40,359 Speaker 1: these anywhere? Are they gonna fight? Are they gonna say? 585 00:38:40,360 --> 00:38:45,400 Speaker 1: You know, there's endless shenanigans that they can try. And 586 00:38:45,440 --> 00:38:47,040 Speaker 1: I do think that we need to be prepared for that. 587 00:38:48,239 --> 00:38:49,880 Speaker 1: I think that they're preparing for it. I think that 588 00:38:49,920 --> 00:38:52,760 Speaker 1: this is what we're seeing happening right now. They simply 589 00:38:52,800 --> 00:38:54,839 Speaker 1: can't process it. I'm gonna tell you this team, if 590 00:38:54,880 --> 00:38:58,600 Speaker 1: we lose this election, and we might, we might as 591 00:38:58,600 --> 00:39:01,560 Speaker 1: crazy as I know, I know, don't don't flip your 592 00:39:01,560 --> 00:39:05,720 Speaker 1: station or stop the podcast. If we lose this election, 593 00:39:06,680 --> 00:39:09,960 Speaker 1: it's going to it's going to be bad. There are 594 00:39:10,040 --> 00:39:12,200 Speaker 1: lots of words, bad words i'd like to use about 595 00:39:12,239 --> 00:39:15,080 Speaker 1: what that would make me feel, like a lot of blankly, blanking, 596 00:39:15,120 --> 00:39:20,760 Speaker 1: blanking blank. But if we lose, okay, maybe the country's lost. 597 00:39:20,800 --> 00:39:23,160 Speaker 1: I don't know, but we keep fighting. We rally, we 598 00:39:23,239 --> 00:39:25,359 Speaker 1: do what we can, and we go down fighting one 599 00:39:25,400 --> 00:39:28,200 Speaker 1: way or the other, and we enjoy every day we've 600 00:39:28,200 --> 00:39:31,239 Speaker 1: got because every day above ground is better than the alternative. 601 00:39:31,480 --> 00:39:35,920 Speaker 1: That's the attitude if libs, if Democrats lose this election, 602 00:39:36,920 --> 00:39:42,839 Speaker 1: they will turn into shrieking puddles of emotional refuse on 603 00:39:42,880 --> 00:39:45,359 Speaker 1: the ground. They're not going to be able to handle it. 604 00:39:45,480 --> 00:39:48,839 Speaker 1: And they've they already know this because everything they think 605 00:39:48,840 --> 00:39:51,799 Speaker 1: about themselves, it's so deeply personal for them. You know, 606 00:39:51,840 --> 00:39:54,000 Speaker 1: if someone can convince me that they have a better 607 00:39:54,120 --> 00:39:56,439 Speaker 1: argument than what I have thought for a long time, 608 00:39:56,520 --> 00:39:58,320 Speaker 1: if they really can convince me and go, WHOA, Okay, 609 00:39:58,520 --> 00:40:01,640 Speaker 1: oh guess I was wrong about that, you know, always 610 00:40:01,640 --> 00:40:03,759 Speaker 1: open to that possibility, and I have changed my mind 611 00:40:03,800 --> 00:40:06,800 Speaker 1: on things over time. Heck, I was worried that Trump 612 00:40:06,880 --> 00:40:10,000 Speaker 1: was going to be completely in over his head during 613 00:40:10,040 --> 00:40:12,680 Speaker 1: the primary as president, supported him in the general election. 614 00:40:12,760 --> 00:40:14,399 Speaker 1: See I'm honest about that. A lot of other people 615 00:40:14,440 --> 00:40:17,000 Speaker 1: who are like, oh, I love Mark or Rubio so much, 616 00:40:17,200 --> 00:40:19,439 Speaker 1: all right, Donald Trump? Now they're all you know, people 617 00:40:19,480 --> 00:40:21,560 Speaker 1: who called Trump, I don't know, an idiot. For example, 618 00:40:21,560 --> 00:40:23,359 Speaker 1: on the radio, show and now suck up to him 619 00:40:23,360 --> 00:40:26,680 Speaker 1: every chance that they get. I don't know, I don't 620 00:40:26,680 --> 00:40:28,120 Speaker 1: know who did that. You could probably look it up 621 00:40:28,120 --> 00:40:31,480 Speaker 1: on the in the interwebs. There's somebody out there, and 622 00:40:31,920 --> 00:40:34,000 Speaker 1: there are people that pretend, I tell you the truth. 623 00:40:34,080 --> 00:40:36,160 Speaker 1: I thought that Trump would have a hard time with this, 624 00:40:36,280 --> 00:40:39,600 Speaker 1: and he's been an excellent president, and he's shown us 625 00:40:39,600 --> 00:40:41,880 Speaker 1: from day one that he is a fighter and that 626 00:40:41,920 --> 00:40:43,800 Speaker 1: he is trying to do his best for the American people. 627 00:40:44,360 --> 00:40:46,960 Speaker 1: And you know, if you're not willing to admit that 628 00:40:47,000 --> 00:40:49,680 Speaker 1: you miss missanalyze something, or you know, you're not a 629 00:40:49,680 --> 00:40:53,640 Speaker 1: good analyst, if you misunderstood something and you won't change 630 00:40:53,640 --> 00:40:55,560 Speaker 1: your mind, I mean, then you're just an ideologue. You're 631 00:40:55,600 --> 00:40:58,279 Speaker 1: not actually a person who's engaging with the facts. That 632 00:40:58,400 --> 00:41:00,640 Speaker 1: is the definition of the modern Democrat Party right now. 633 00:41:00,640 --> 00:41:02,120 Speaker 1: It doesn't matter what the facts are, it doesn't matter 634 00:41:02,160 --> 00:41:06,359 Speaker 1: what the reality of our country is. Right now, they've 635 00:41:06,400 --> 00:41:09,880 Speaker 1: already they've already set it up so that it's impossible 636 00:41:09,920 --> 00:41:12,560 Speaker 1: for Trump to get a clean win, and that's the 637 00:41:12,600 --> 00:41:14,440 Speaker 1: goal of all this. In fact, they even got a 638 00:41:14,440 --> 00:41:17,880 Speaker 1: step further over the weekend. There was this piece that 639 00:41:17,960 --> 00:41:20,719 Speaker 1: I saw in the Atlantic which is one of the 640 00:41:20,880 --> 00:41:25,840 Speaker 1: more supposedly intellectually snobbish, although they write a lot of 641 00:41:25,880 --> 00:41:28,120 Speaker 1: garbage and have a lot of pseudo intellectuals that write 642 00:41:28,160 --> 00:41:29,279 Speaker 1: for it. I mean, it's really a lot of people 643 00:41:29,280 --> 00:41:31,920 Speaker 1: that aren't nearly as bright as they think they are. 644 00:41:31,960 --> 00:41:36,120 Speaker 1: They just echo what other libs, what other libs want, 645 00:41:36,280 --> 00:41:39,200 Speaker 1: and break out a thesaurus when they're writing their essays. 646 00:41:39,840 --> 00:41:45,640 Speaker 1: But here we go. I've got to show you. I've 647 00:41:45,680 --> 00:41:47,840 Speaker 1: got to tell you about this one. This is a 648 00:41:48,040 --> 00:41:55,600 Speaker 1: particularly galling are particularly galling circumstance here, Shadi Hamid, that's 649 00:41:55,640 --> 00:41:58,800 Speaker 1: right in the Atlantic quote, I argue that even strictly 650 00:41:58,880 --> 00:42:01,680 Speaker 1: law and order republican and have an interest in Biden winning, 651 00:42:02,000 --> 00:42:07,719 Speaker 1: if Biden loses, mass unrest is more unlikely because the 652 00:42:07,800 --> 00:42:15,319 Speaker 1: Left will have more difficulty accepting the results. Wait, that's 653 00:42:15,400 --> 00:42:17,800 Speaker 1: not that doesn't make sense. If Biden loses, mass unrest 654 00:42:17,960 --> 00:42:23,200 Speaker 1: is they mean if Biden wins, mass unrest is more unlikely. Anyway. 655 00:42:23,320 --> 00:42:25,800 Speaker 1: The piece is about how Democrats won't be able to concede. 656 00:42:25,840 --> 00:42:28,080 Speaker 1: That's the title of the the piece, And what they're saying 657 00:42:28,200 --> 00:42:31,400 Speaker 1: is that, look, guys, if you want the country to 658 00:42:31,480 --> 00:42:35,040 Speaker 1: return to normal, you gotta vote for Biden. You gotta 659 00:42:35,120 --> 00:42:37,400 Speaker 1: vote for Biden because otherwise we're just getta get crazier 660 00:42:37,400 --> 00:42:40,280 Speaker 1: and crazier. We can't handle it. I mean, some Democrats 661 00:42:40,320 --> 00:42:43,279 Speaker 1: are actually going so far as to say that. Now 662 00:42:43,960 --> 00:42:47,000 Speaker 1: they're telling you this. They're saying, look, you see all 663 00:42:47,040 --> 00:42:50,000 Speaker 1: these protests that you think this is bad, Now, just 664 00:42:50,200 --> 00:42:53,879 Speaker 1: wait until we get into a position where we feel 665 00:42:53,880 --> 00:42:58,920 Speaker 1: like there's no future because we're completely nuts and we're 666 00:42:59,040 --> 00:43:02,319 Speaker 1: ripping the Basically, this is Democrats saying, if Biden doesn't win, 667 00:43:02,360 --> 00:43:05,719 Speaker 1: we're going to rip the country apart. So let's all 668 00:43:05,800 --> 00:43:08,720 Speaker 1: vote for Biden. This is what the pitch has turned into. 669 00:43:09,640 --> 00:43:12,600 Speaker 1: That does that a line up with the overall Democrat 670 00:43:12,680 --> 00:43:15,080 Speaker 1: messaging on this? Of course it does. This is not 671 00:43:15,120 --> 00:43:19,080 Speaker 1: surprising in the least, right does that line? Of course 672 00:43:19,080 --> 00:43:22,919 Speaker 1: it lines up with this. This is the implied threat along. 673 00:43:23,000 --> 00:43:26,960 Speaker 1: This is the coercive component of BLM. That's why they're 674 00:43:27,000 --> 00:43:29,160 Speaker 1: going out and yelling at old people in the streets 675 00:43:29,160 --> 00:43:32,880 Speaker 1: with loudspeakers and ruining people's dinners and lunches, and yelling 676 00:43:32,920 --> 00:43:36,880 Speaker 1: at them in restaurants and showing up outside public officials 677 00:43:36,920 --> 00:43:38,960 Speaker 1: homes and waking people up in the middle of the night, 678 00:43:39,000 --> 00:43:42,920 Speaker 1: and this is all coercion. It's all meant to spread 679 00:43:42,960 --> 00:43:47,520 Speaker 1: the psychosis that the Libs live in because Trump is president. 680 00:43:47,560 --> 00:43:49,600 Speaker 1: The rest of us are like, country is fine, country's 681 00:43:49,600 --> 00:43:52,560 Speaker 1: actually you know, yeah, COVID's been bad, but we're dealing it. 682 00:43:52,560 --> 00:43:55,120 Speaker 1: We're almost we're dealing with it. We're almost through it. 683 00:43:55,040 --> 00:43:57,040 Speaker 1: It wasn't Trump's fault, as much as they try to pretend. 684 00:43:57,080 --> 00:44:01,480 Speaker 1: It is absurd and things are okay. We're not fighting 685 00:44:01,480 --> 00:44:04,000 Speaker 1: some horrible war. We don't have plans getting blown out 686 00:44:04,000 --> 00:44:07,960 Speaker 1: of the stop out of the sky by terrorists. Well, 687 00:44:07,960 --> 00:44:12,520 Speaker 1: you know, the economy's recovering. You know, the administration is 688 00:44:12,640 --> 00:44:14,520 Speaker 1: trying to get money out to people in businesses, and 689 00:44:14,560 --> 00:44:16,000 Speaker 1: you know, we want to reopen and we want our 690 00:44:16,000 --> 00:44:19,640 Speaker 1: lives back. What's the big problem with Trump? The border 691 00:44:19,680 --> 00:44:21,839 Speaker 1: issue has calmed down for now. I mean, we haven't 692 00:44:21,840 --> 00:44:24,640 Speaker 1: set all the legal immigration yet, but the border issue 693 00:44:24,719 --> 00:44:29,200 Speaker 1: is not in the same emergency situation that it was, 694 00:44:30,480 --> 00:44:34,160 Speaker 1: and yeah, here we are. They think that if Trump 695 00:44:34,280 --> 00:44:37,200 Speaker 1: is elected that the country is over. They've created a 696 00:44:37,280 --> 00:44:41,200 Speaker 1: narrative of existential durest for the nation if the sitting 697 00:44:41,600 --> 00:44:45,440 Speaker 1: president is re elected. It's like they learned nothing. They 698 00:44:45,480 --> 00:44:47,520 Speaker 1: acted like the country was going to be destroyed if 699 00:44:48,040 --> 00:44:50,880 Speaker 1: once Trump won, because I didn't think that was really possible. 700 00:44:51,719 --> 00:44:54,200 Speaker 1: Now Here we are, four years in, country is doing fine, 701 00:44:54,280 --> 00:44:57,400 Speaker 1: Country is not destroyed. People are fine. People aren't getting 702 00:44:57,400 --> 00:45:01,080 Speaker 1: marched off into you know, into camp and being told 703 00:45:01,120 --> 00:45:04,439 Speaker 1: to break rocks with mallets because they voted for Democrats. Again, 704 00:45:04,440 --> 00:45:08,000 Speaker 1: there's none of these horrible things. There's no fascism, they 705 00:45:08,080 --> 00:45:10,680 Speaker 1: haven't suspended election, all these things we've been told. He's 706 00:45:10,719 --> 00:45:13,759 Speaker 1: not actually a puppet of Putinal though they still say 707 00:45:13,760 --> 00:45:17,919 Speaker 1: that like complete morons. But now it's just the same 708 00:45:17,960 --> 00:45:21,239 Speaker 1: thing all over again. But it's even worse. It's it's 709 00:45:21,280 --> 00:45:25,560 Speaker 1: exaggerated in their minds. The threat is even greater we've had. 710 00:45:25,719 --> 00:45:28,520 Speaker 1: A normal person would see Trump is president for four years, 711 00:45:29,280 --> 00:45:32,320 Speaker 1: the country hasn't fallen apart, He hasn't destroyed the nation. 712 00:45:33,520 --> 00:45:39,239 Speaker 1: So now let's understand that if he's president for four 713 00:45:39,360 --> 00:45:41,839 Speaker 1: more years and we have the continuation of what we've seen, 714 00:45:42,560 --> 00:45:45,080 Speaker 1: things are going to be fine. That's what a normal 715 00:45:45,080 --> 00:45:48,319 Speaker 1: person would do with just with those facts. What Democrats 716 00:45:48,360 --> 00:45:51,480 Speaker 1: do is, oh my gosh, see he is destroying the nation. 717 00:45:51,520 --> 00:45:54,120 Speaker 1: And if we can't live if he does four more years. 718 00:45:54,120 --> 00:45:59,919 Speaker 1: Oh no, they really do believe this stuff. I used 719 00:45:59,920 --> 00:46:04,959 Speaker 1: to think that it was largely theatrics for viewers and 720 00:46:05,120 --> 00:46:09,759 Speaker 1: just because it was useful propaganda. But no, these Democrats, 721 00:46:09,800 --> 00:46:11,840 Speaker 1: these lives are not such talented actors. A lot of 722 00:46:11,840 --> 00:46:15,160 Speaker 1: them really believe this, friends, and that means they're willing 723 00:46:15,160 --> 00:46:18,839 Speaker 1: to go to the most extreme length imaginable to not 724 00:46:18,920 --> 00:46:21,520 Speaker 1: just try to defeat the president, which they still could do, 725 00:46:22,280 --> 00:46:24,280 Speaker 1: but to steal the election from him if he wins. 726 00:46:25,480 --> 00:46:29,880 Speaker 1: And now they're even telling you Biden better win or else. 727 00:46:30,360 --> 00:46:34,600 Speaker 1: That's considered a pitch for Biden to get more votes. Hey, guys, 728 00:46:34,719 --> 00:46:38,279 Speaker 1: if Joe Biden doesn't win this election, country might just 729 00:46:38,320 --> 00:46:40,359 Speaker 1: get burned down, you know, burned down in a big 730 00:46:40,400 --> 00:46:44,319 Speaker 1: smoldering heat because of all the rioting Democrats out there. 731 00:46:44,360 --> 00:46:47,319 Speaker 1: So let's all come together and avoid that by voting 732 00:46:47,360 --> 00:46:50,120 Speaker 1: for Biden. That's what the Peace in the Atlantic is saying. 733 00:46:51,000 --> 00:46:53,520 Speaker 1: They may not be able to concede. They may not 734 00:46:53,560 --> 00:46:55,600 Speaker 1: be it. This is a from a Democrat, folks, He's 735 00:46:55,640 --> 00:46:58,840 Speaker 1: a Democrat writing, and he's admitting Democrats will not be 736 00:46:58,920 --> 00:47:05,200 Speaker 1: able to psychological process this. They've they've gotten so frenzied. 737 00:47:05,239 --> 00:47:10,120 Speaker 1: They're so surrounded with their their MSNBC and their tweets 738 00:47:10,160 --> 00:47:13,000 Speaker 1: from celebrities and all their friends who all are so 739 00:47:13,160 --> 00:47:15,960 Speaker 1: woke in the whole, the whole mess, all this nonsense. 740 00:47:17,160 --> 00:47:19,680 Speaker 1: Can't just take a deep breath, take a step back, 741 00:47:19,719 --> 00:47:24,520 Speaker 1: and go hold on a second. Trump hasn't murdered millions 742 00:47:24,520 --> 00:47:27,160 Speaker 1: of people. Trump isn't destroying the country. He's not a 743 00:47:27,280 --> 00:47:32,200 Speaker 1: racing all freedoms. He's not a fascist. He's not a racist, 744 00:47:32,239 --> 00:47:35,000 Speaker 1: as much as they like to say he is. Maybe 745 00:47:35,080 --> 00:47:38,520 Speaker 1: they could just take a breath, take a chill, and 746 00:47:38,680 --> 00:47:41,960 Speaker 1: accept that, or at least think about the prospect that 747 00:47:42,120 --> 00:47:46,240 Speaker 1: the Democrats have. The Left have bad ideas that don't work. 748 00:47:47,280 --> 00:47:52,239 Speaker 1: They're illogical, history shows they fail, and they're irresponsible and 749 00:47:52,440 --> 00:47:56,520 Speaker 1: utterly emotional and childish in how they deal in American 750 00:47:56,560 --> 00:48:00,000 Speaker 1: politics these days. So maybe a little bit of reflection 751 00:48:00,960 --> 00:48:03,320 Speaker 1: and a little bit of chill we'll take. The Democrats 752 00:48:03,320 --> 00:48:07,040 Speaker 1: are very long way, but instead they are going to 753 00:48:07,080 --> 00:48:10,600 Speaker 1: take the amp not just to eleven, even though it 754 00:48:10,600 --> 00:48:12,000 Speaker 1: only goes to ten, They're going to find a way 755 00:48:12,040 --> 00:48:13,920 Speaker 1: to take it to twelve, and they're gonna blast out 756 00:48:13,920 --> 00:48:17,120 Speaker 1: everybody's ear drums. They will completely lose their minds, and 757 00:48:17,200 --> 00:48:22,680 Speaker 1: they think that's a reason to vote for Biden. You're 758 00:48:22,760 --> 00:48:25,440 Speaker 1: in the freedom mind. This is the Buck Sex and 759 00:48:25,520 --> 00:48:32,040 Speaker 1: Show podcast because he put the most vicious ad on 760 00:48:32,120 --> 00:48:34,680 Speaker 1: television that I've ever seen. Do you know what I'm 761 00:48:34,719 --> 00:48:39,399 Speaker 1: talking about? Where I'm standing over the graves of our 762 00:48:39,440 --> 00:48:43,400 Speaker 1: fallen warriors, are fallen heroes. These are great people, the 763 00:48:43,440 --> 00:48:47,520 Speaker 1: greatest people there are. And I'm standing over there, and 764 00:48:47,560 --> 00:48:51,160 Speaker 1: they have some sleeves bag reporter from a third rate 765 00:48:51,280 --> 00:48:55,640 Speaker 1: magazine having some source quoting me saying I won't even 766 00:48:55,719 --> 00:48:59,120 Speaker 1: use the term, but saying bad things. And there's nobody 767 00:48:59,239 --> 00:49:02,080 Speaker 1: that loves our military, respects it and the people more 768 00:49:02,120 --> 00:49:06,680 Speaker 1: than me. And they took and I didn't even ask. 769 00:49:06,800 --> 00:49:10,200 Speaker 1: We had twenty five people that were witnesses that are 770 00:49:10,280 --> 00:49:13,920 Speaker 1: on the record already that have said that never took place. 771 00:49:14,080 --> 00:49:18,200 Speaker 1: It never took place, what they said. And yet pathetic Joe, 772 00:49:18,200 --> 00:49:21,000 Speaker 1: and He's a pathetic human being to allow that to happen. 773 00:49:21,760 --> 00:49:26,440 Speaker 1: Twenty five people on the record saying the Atlantic story 774 00:49:27,600 --> 00:49:33,160 Speaker 1: didn't take place, and yet we still have to hear 775 00:49:33,200 --> 00:49:35,279 Speaker 1: that the president hates the military. That was never a 776 00:49:35,320 --> 00:49:38,920 Speaker 1: credible story. The president has disdained for the military. Let 777 00:49:38,960 --> 00:49:41,319 Speaker 1: me say something of a guys like Trump, because he's 778 00:49:41,320 --> 00:49:44,080 Speaker 1: a New Yorker like me. And there's a there's a 779 00:49:44,120 --> 00:49:51,279 Speaker 1: certain nobs, a little sarcastic, aggressive mentality and personality that 780 00:49:51,320 --> 00:49:56,120 Speaker 1: New Yorkers tend to have. Right, So, Producer Mark has 781 00:49:56,120 --> 00:49:57,400 Speaker 1: a little bit of it. I've got a little bit 782 00:49:57,440 --> 00:49:59,200 Speaker 1: of it. No, there's just a we gotta way, We 783 00:49:59,239 --> 00:50:01,440 Speaker 1: got a way of being here. And Trump definitely has 784 00:50:01,480 --> 00:50:03,719 Speaker 1: Trump's from queens. He's a queen's boy. I'm a Manhattan boy. 785 00:50:03,760 --> 00:50:06,840 Speaker 1: Trump is a queen's boy. Actually, Producer Mark, you're a 786 00:50:06,920 --> 00:50:09,480 Speaker 1: queen's boy, aren't you. I am a queen's boy. There 787 00:50:09,520 --> 00:50:13,320 Speaker 1: we go exactly. You know, queen's guys like love, family, 788 00:50:13,520 --> 00:50:15,279 Speaker 1: good food. And you don't want to push him too far, 789 00:50:15,800 --> 00:50:17,239 Speaker 1: don't You don't want to push him too far. It's 790 00:50:17,239 --> 00:50:19,640 Speaker 1: it's a bad, bad place to go. And you don't 791 00:50:19,640 --> 00:50:22,040 Speaker 1: want to try to rip them off either. They don't 792 00:50:22,080 --> 00:50:25,359 Speaker 1: like they don't like anyone playing games. You know, Manhattan 793 00:50:25,440 --> 00:50:27,120 Speaker 1: is a little similar, except we spend a little more 794 00:50:27,160 --> 00:50:29,359 Speaker 1: time out of the country club. Same idea though, same 795 00:50:29,400 --> 00:50:36,200 Speaker 1: basic mentality. And here's the thing, there's no way that Trump. 796 00:50:36,680 --> 00:50:38,640 Speaker 1: If there's any group of people in the world that 797 00:50:38,800 --> 00:50:41,560 Speaker 1: the president of the United States, while he's president and 798 00:50:41,560 --> 00:50:46,439 Speaker 1: before his president clearly respects, it's our combat veterans, it's 799 00:50:46,480 --> 00:50:51,600 Speaker 1: our airman soldiers, it's our Navy, Marines, air Force, Army. 800 00:50:52,840 --> 00:50:55,480 Speaker 1: All right, there's and so that's why the story. But 801 00:50:55,520 --> 00:50:58,479 Speaker 1: they're so desperate to come up with some way to 802 00:50:58,520 --> 00:51:03,839 Speaker 1: siphon off that strong veteran support for Trump. But they're 803 00:51:03,880 --> 00:51:07,080 Speaker 1: just they're just going with this. They're just going with us. Yeah, 804 00:51:07,080 --> 00:51:08,880 Speaker 1: So that the president said that his generals are a 805 00:51:08,880 --> 00:51:12,160 Speaker 1: bunch of women. General generals are allowed to be criticized, okay, 806 00:51:12,560 --> 00:51:14,960 Speaker 1: And generals are no longer on the front lines. They're 807 00:51:14,960 --> 00:51:16,920 Speaker 1: not in combat. So if the president, if the commander 808 00:51:16,920 --> 00:51:19,719 Speaker 1: in chief has some harsh words for his generals, guess 809 00:51:19,800 --> 00:51:22,560 Speaker 1: what he's allowed to. But he respects the men and 810 00:51:22,600 --> 00:51:24,960 Speaker 1: women who put on the uniform, who serve their country 811 00:51:24,960 --> 00:51:27,600 Speaker 1: every day, who do it for very little pay, at 812 00:51:27,640 --> 00:51:30,160 Speaker 1: a lot of personal costs and at risk of their lives, 813 00:51:30,320 --> 00:51:33,360 Speaker 1: because they love this country, because they're patriots. This president 814 00:51:33,360 --> 00:51:41,560 Speaker 1: respects those people. There's absolutely no reason to believe otherwise. Okay, Yeah, 815 00:51:41,600 --> 00:51:44,360 Speaker 1: there are there are people that use their service or 816 00:51:44,400 --> 00:51:46,880 Speaker 1: someone else's service as I try to a weapon to 817 00:51:46,920 --> 00:51:50,920 Speaker 1: attack the president politically, and he's going to respond this guy, Look, 818 00:51:51,880 --> 00:51:55,279 Speaker 1: is the Democrat line really that he he hates the 819 00:51:55,280 --> 00:51:57,880 Speaker 1: military and the military is just not smart enough to 820 00:51:57,920 --> 00:52:00,000 Speaker 1: figure it out. The people in the military who support 821 00:52:00,040 --> 00:52:02,360 Speaker 1: or Trump, they just don't realize. Usually you don't like 822 00:52:02,480 --> 00:52:06,720 Speaker 1: people that disdain you and think that you're losers, right, So, 823 00:52:06,960 --> 00:52:11,360 Speaker 1: who really has disdained for the military. The news media, 824 00:52:11,400 --> 00:52:14,040 Speaker 1: the press, they do, they always have had it. How 825 00:52:14,080 --> 00:52:15,839 Speaker 1: many you know how many journals who are running around 826 00:52:15,840 --> 00:52:18,480 Speaker 1: You're like, oh my gosh, yeah, the military. I don't 827 00:52:18,480 --> 00:52:21,520 Speaker 1: know if that's for me or any kind of service 828 00:52:21,520 --> 00:52:25,319 Speaker 1: to their country. Tons of them. Who writes stories. Who's 829 00:52:25,360 --> 00:52:27,719 Speaker 1: the first people that want to tell everybody about how 830 00:52:28,239 --> 00:52:31,759 Speaker 1: there was a civilian casualty incident with the military? You know, 831 00:52:31,760 --> 00:52:35,760 Speaker 1: who ran wild with as as front page abu grabe 832 00:52:35,800 --> 00:52:38,319 Speaker 1: stories every day just to fame the entire military because 833 00:52:38,320 --> 00:52:41,640 Speaker 1: there were some people who were doing bad things. The journalists. 834 00:52:41,880 --> 00:52:43,920 Speaker 1: So I just think it's interesting that that they really 835 00:52:43,920 --> 00:52:49,640 Speaker 1: are doing what the psychologists would call projection here. Trump 836 00:52:49,640 --> 00:52:51,800 Speaker 1: doesn't hate the military, but if there's anybody that doesn't 837 00:52:51,840 --> 00:52:53,960 Speaker 1: have due respect for the military. It's not all journalists, 838 00:52:53,960 --> 00:52:55,799 Speaker 1: and there are journalists who are former military and I 839 00:52:55,840 --> 00:52:59,760 Speaker 1: know that, but a lot of live media people really 840 00:52:59,800 --> 00:53:05,000 Speaker 1: think that the military's a bunch of you know, unsophisticated, 841 00:53:05,080 --> 00:53:08,120 Speaker 1: under educated. You know, they really do have that attitude 842 00:53:08,120 --> 00:53:10,239 Speaker 1: about it. And I think it's I think it's so 843 00:53:10,280 --> 00:53:12,480 Speaker 1: clear they're trying to push this onto Trump and it's 844 00:53:12,600 --> 00:53:17,080 Speaker 1: all just nonsense. Um, what are we seeing with these 845 00:53:17,160 --> 00:53:21,160 Speaker 1: fires out in California? You know, they often talk about 846 00:53:21,239 --> 00:53:25,880 Speaker 1: Trump as a as a fascist. I'll give you an 847 00:53:25,920 --> 00:53:32,040 Speaker 1: example of what a fascist demagogue actually sounds like. And 848 00:53:32,600 --> 00:53:36,600 Speaker 1: here's a hint. Not Trump, but out on the West 849 00:53:36,640 --> 00:53:39,439 Speaker 1: Coast there is someone who I do believe also has 850 00:53:39,480 --> 00:53:44,600 Speaker 1: presidential aspirations, who may not really think of himself as 851 00:53:44,600 --> 00:53:47,680 Speaker 1: a fascist, but it certainly does a good impression of 852 00:53:47,719 --> 00:53:52,840 Speaker 1: an enviro fascist when given the opportunity. Thanks for listening 853 00:53:52,840 --> 00:53:57,520 Speaker 1: to The Bust. Remember to subscribe on Apple Podcasts, the 854 00:53:57,600 --> 00:54:01,759 Speaker 1: iHeart Radio app, or wherever you get your podcast. The 855 00:54:01,880 --> 00:54:04,799 Speaker 1: heat though over the entire West Coast, United States, when 856 00:54:04,800 --> 00:54:08,839 Speaker 1: you have temperatures, record breaking temperatures, record droughts, and you've 857 00:54:08,840 --> 00:54:11,880 Speaker 1: got something else at play, and that's exactly what the 858 00:54:11,920 --> 00:54:15,520 Speaker 1: scientists have been predicting for half a century. It is 859 00:54:15,760 --> 00:54:20,799 Speaker 1: here now, California, folks, is America fast forward. What we're 860 00:54:20,840 --> 00:54:25,520 Speaker 1: experiencing right here is coming to community all across the 861 00:54:25,600 --> 00:54:28,440 Speaker 1: United States America, unless we get our act together on 862 00:54:28,640 --> 00:54:32,360 Speaker 1: climate change, unless we disabuse ourselves of all the bs 863 00:54:32,480 --> 00:54:36,200 Speaker 1: that's being spewed by a very small group of people 864 00:54:36,200 --> 00:54:39,440 Speaker 1: that have an ideological reason to advance the cause of 865 00:54:39,440 --> 00:54:42,920 Speaker 1: a nineteenth century spramework and solution. We're not going back 866 00:54:42,920 --> 00:54:46,640 Speaker 1: to the nineteenth century. We're not apologists to that status quo. 867 00:54:47,440 --> 00:54:50,360 Speaker 1: We believe in the fresh air of progress versus the 868 00:54:50,440 --> 00:54:57,800 Speaker 1: stale air ephesus stale air normalcy. California is America fast forward. 869 00:54:58,080 --> 00:55:02,640 Speaker 1: I certainly hope not. California was a beautiful I mean, 870 00:55:02,680 --> 00:55:05,080 Speaker 1: it's let's just let's take a step back for a moment. 871 00:55:05,600 --> 00:55:09,760 Speaker 1: California is one of the most men along the coast 872 00:55:09,920 --> 00:55:12,000 Speaker 1: the interior. I'm sure that's some nice places, but let's 873 00:55:12,000 --> 00:55:13,600 Speaker 1: be honest. So we spend most of your time around 874 00:55:13,719 --> 00:55:15,880 Speaker 1: along the coast is where you're talking about the beautiful stuff, 875 00:55:16,360 --> 00:55:21,720 Speaker 1: and California is one of the most geographically fortunate places 876 00:55:22,880 --> 00:55:25,640 Speaker 1: in the world. You know, you get around Big Sir, 877 00:55:26,000 --> 00:55:29,399 Speaker 1: and you're up in Monterey area, and even you get 878 00:55:29,400 --> 00:55:31,279 Speaker 1: down the coast. I mean I drove from La to 879 00:55:31,320 --> 00:55:33,279 Speaker 1: San Diego a couple of years back. I mean, it's 880 00:55:33,320 --> 00:55:40,239 Speaker 1: just gorgeous, incredibly bountiful for I mean, the coastline, the 881 00:55:40,280 --> 00:55:45,640 Speaker 1: access to the Pacific Ocean. They've got wonderful vineyards. I mean, look, 882 00:55:45,640 --> 00:55:47,040 Speaker 1: I'm not trying to do an ad for the state 883 00:55:47,040 --> 00:55:50,400 Speaker 1: of California. I'm just trying to bring up that Democrats 884 00:55:50,600 --> 00:55:54,440 Speaker 1: largely with the help of illegal immigration, right, legal imrants 885 00:55:54,480 --> 00:55:57,000 Speaker 1: come in and then they have children here, and then 886 00:55:57,000 --> 00:56:00,040 Speaker 1: those illegal immigrants those households and to vote Democrats. And 887 00:56:00,120 --> 00:56:02,239 Speaker 1: when the children grow up, they vote Democrat. And you know, 888 00:56:02,560 --> 00:56:05,360 Speaker 1: that's how they've flipped it. So it's just the bluest 889 00:56:05,400 --> 00:56:10,600 Speaker 1: of blue states. Now, California was a reliably Republican state. 890 00:56:11,040 --> 00:56:16,440 Speaker 1: California had Governor Ronald Reagan, gave us Reagan and was 891 00:56:16,600 --> 00:56:20,320 Speaker 1: going red up until I think the hw Bush presidency 892 00:56:20,320 --> 00:56:24,080 Speaker 1: in national elections. So it wasn't it wasn't that long 893 00:56:24,120 --> 00:56:28,279 Speaker 1: ago that California was a play Look, it was the 894 00:56:28,320 --> 00:56:31,160 Speaker 1: American dream. I grew up in the in the late 895 00:56:31,200 --> 00:56:33,760 Speaker 1: eighties in the early nineties, and it was like every 896 00:56:33,760 --> 00:56:36,600 Speaker 1: movie I saw was based in I know, that's where 897 00:56:36,600 --> 00:56:38,960 Speaker 1: the studios where it was all based in California. And 898 00:56:39,080 --> 00:56:42,719 Speaker 1: the ideal existence, it seemed to the American teenager circa 899 00:56:43,120 --> 00:56:47,440 Speaker 1: nineteen eighty eight, was to live in you know, the 900 00:56:48,440 --> 00:56:51,200 Speaker 1: live in a house in California within striking distance of 901 00:56:51,239 --> 00:56:53,400 Speaker 1: the ocean, and learn how to surf and skateboard. Like 902 00:56:53,440 --> 00:56:55,600 Speaker 1: this was the ideal and the weather's perfect, and there's 903 00:56:55,640 --> 00:56:59,759 Speaker 1: all these beautiful people. And now Democrats have been in 904 00:56:59,800 --> 00:57:04,280 Speaker 1: charge charge entirely for let's call it, the last last 905 00:57:04,280 --> 00:57:10,040 Speaker 1: twenty to thirty years, and they're ruining it. They're they're 906 00:57:10,160 --> 00:57:14,239 Speaker 1: ruining it. Okay, the state is going through ruination. I 907 00:57:14,400 --> 00:57:16,840 Speaker 1: was out in La a year ago and I spent 908 00:57:17,000 --> 00:57:18,880 Speaker 1: I spent I've spent weeks and weeks in LA in 909 00:57:18,880 --> 00:57:20,960 Speaker 1: the last few years. And everyone that I was talking 910 00:57:21,000 --> 00:57:22,840 Speaker 1: to was a native, was like, look, I love this place. 911 00:57:22,920 --> 00:57:27,280 Speaker 1: But it's just there are people, you know, there's there's 912 00:57:28,080 --> 00:57:30,440 Speaker 1: vagrance urinating in the street all over the place, and 913 00:57:30,440 --> 00:57:33,440 Speaker 1: there's ten cities, and the traffic is nightmarish, and there 914 00:57:33,440 --> 00:57:36,360 Speaker 1: are power outages because they don't know how to end 915 00:57:36,480 --> 00:57:38,720 Speaker 1: they don't know how to keep the electrical grid going. 916 00:57:39,240 --> 00:57:43,880 Speaker 1: And you know, the the petty quality of life crimes 917 00:57:44,040 --> 00:57:46,640 Speaker 1: are terrible. You know, this is all this stuff that's happening, 918 00:57:46,680 --> 00:57:52,120 Speaker 1: all these things that are going on, and sure enough, 919 00:57:53,520 --> 00:57:58,520 Speaker 1: sure enough, the state is finally falling apart. And now 920 00:57:58,560 --> 00:58:00,959 Speaker 1: you have these wildfires, which this is not the first 921 00:58:00,960 --> 00:58:03,760 Speaker 1: time in recent years we've had also major fires. I 922 00:58:03,760 --> 00:58:06,080 Speaker 1: think there are a few million acres that are either 923 00:58:06,160 --> 00:58:11,120 Speaker 1: burning or have been burned. And it's not just California's California, 924 00:58:11,280 --> 00:58:16,800 Speaker 1: it's Oregon and Washington State. These are primarily and uninhabited, 925 00:58:16,840 --> 00:58:20,400 Speaker 1: but you know, wooded areas and the fires are really 926 00:58:20,440 --> 00:58:23,720 Speaker 1: bad and they are out of out of control right now. 927 00:58:24,720 --> 00:58:28,480 Speaker 1: And what are we told is the only answer to 928 00:58:28,520 --> 00:58:35,520 Speaker 1: this climate change? I sit here and I want to 929 00:58:35,560 --> 00:58:39,200 Speaker 1: ask the question, what natural disaster at this point is 930 00:58:39,280 --> 00:58:43,840 Speaker 1: not attributable to a liberal, to a democrat, What natural 931 00:58:43,880 --> 00:58:47,760 Speaker 1: disaster is not attributable to climate change? Now? In this 932 00:58:48,400 --> 00:58:53,680 Speaker 1: current environment anything? Is there anything that we can say 933 00:58:54,040 --> 00:59:02,280 Speaker 1: hurricanes climate change, wildfires, climate change, go down, the floods, 934 00:59:02,520 --> 00:59:06,600 Speaker 1: climate change, mudslides, climate change. Now you just look at 935 00:59:06,600 --> 00:59:10,280 Speaker 1: all this stuff. You say, Okay, now, let's just put 936 00:59:10,320 --> 00:59:13,880 Speaker 1: aside for a second that that seems just very simplistic 937 00:59:13,920 --> 00:59:16,280 Speaker 1: and it's thinking. And if you're wondering how much warmer 938 00:59:16,440 --> 00:59:19,920 Speaker 1: they keep they keep saying it's the desiccation of forests, 939 00:59:19,920 --> 00:59:23,120 Speaker 1: which is a fancy way of saying dry forests. Okay, 940 00:59:23,240 --> 00:59:26,160 Speaker 1: they love to say desiccation of forest because it sounds sciency. 941 00:59:26,640 --> 00:59:31,960 Speaker 1: Dry forests heat dry. There you go. The desiccation of 942 00:59:32,000 --> 00:59:37,240 Speaker 1: forests has created greater risks for these for these forests 943 00:59:37,240 --> 00:59:39,760 Speaker 1: there have been the past. And that's okay, Well, how 944 00:59:39,840 --> 00:59:41,960 Speaker 1: much warmer we're really talking about? You know Gavin Newsom 945 00:59:42,000 --> 00:59:44,439 Speaker 1: there who's telling you remember California, And in a sense 946 00:59:44,480 --> 00:59:46,640 Speaker 1: he's right. California is the future of the whole country 947 00:59:46,640 --> 00:59:51,320 Speaker 1: if the Democrats have their way, rolling blackouts, quality of life, plummeting, 948 00:59:51,560 --> 00:59:56,320 Speaker 1: super high taxes, flight from the state. And and for 949 00:59:56,360 --> 00:59:58,520 Speaker 1: those who are saying, oh, but look at Silicon Valley, 950 00:59:58,600 --> 01:00:05,439 Speaker 1: when did Silicon Valley really going the nineties? Right? Hollywood 951 01:00:05,640 --> 01:00:08,440 Speaker 1: is a legacy institution that happened to be in LA 952 01:00:08,560 --> 01:00:11,280 Speaker 1: but stretching way back to when LA or at least 953 01:00:11,280 --> 01:00:16,480 Speaker 1: when California was still often in Republican hands. It takes 954 01:00:16,520 --> 01:00:19,880 Speaker 1: time to ruin a place, and you can and there's 955 01:00:19,960 --> 01:00:23,320 Speaker 1: often a period where you can just be essentially milking 956 01:00:23,400 --> 01:00:26,880 Speaker 1: the cow before you end up killing the cow right, 957 01:00:26,880 --> 01:00:30,240 Speaker 1: And that's what Democrats do in these places, these states, 958 01:00:30,360 --> 01:00:33,880 Speaker 1: New York, California, they get fat and happy. You know, 959 01:00:33,880 --> 01:00:36,120 Speaker 1: there used to be kind of Rockefeller Republicans. There was 960 01:00:36,160 --> 01:00:41,640 Speaker 1: a little bit more of a There were some serious 961 01:00:41,720 --> 01:00:44,560 Speaker 1: periods of time in New York State's history when it 962 01:00:44,680 --> 01:00:48,400 Speaker 1: was certainly more conservative in its leanings than it is now. 963 01:00:48,440 --> 01:00:50,960 Speaker 1: But in California is a perfect example of the rapid 964 01:00:51,040 --> 01:00:52,919 Speaker 1: change that you get when the left wing takes over. 965 01:00:55,000 --> 01:00:59,560 Speaker 1: But they're showing you now the results of their policies. 966 01:01:00,040 --> 01:01:02,840 Speaker 1: When the mayor, Mayor Garcetti as a tell people, yeah, 967 01:01:02,920 --> 01:01:06,040 Speaker 1: turn turn your thermostats. I think it was seventy eight degrees. 968 01:01:06,360 --> 01:01:09,880 Speaker 1: A seventy eighth degree house is really warm, folks. Papa 969 01:01:09,920 --> 01:01:11,600 Speaker 1: Buck's going to be sweating a whole lot in a 970 01:01:11,680 --> 01:01:17,960 Speaker 1: seventy eight degree house. But here we are. Continue to 971 01:01:17,960 --> 01:01:23,120 Speaker 1: look at this, continue to think, well, what's the answer. Oh, 972 01:01:23,160 --> 01:01:27,960 Speaker 1: there's only one answer. There's only one answer. Tom Stier, 973 01:01:28,560 --> 01:01:32,480 Speaker 1: he who doth own only one tie despite being a billionaire. 974 01:01:33,760 --> 01:01:37,520 Speaker 1: He gives you his answer, Play six. This is a 975 01:01:37,600 --> 01:01:42,040 Speaker 1: global problem. Look, this is crying out for national and 976 01:01:42,160 --> 01:01:45,480 Speaker 1: international leadership. What's the number one thing we can do 977 01:01:45,960 --> 01:01:49,600 Speaker 1: is elect a different president who's going to recognize the problem, 978 01:01:50,000 --> 01:01:53,480 Speaker 1: deal with it forcefully at home, deal with it forcefully overseas. 979 01:01:53,680 --> 01:01:56,360 Speaker 1: That's actually the only solution we have to this problem, 980 01:01:56,400 --> 01:02:00,760 Speaker 1: and is honest to god, Joe Biden, Joe Biden, is 981 01:02:00,760 --> 01:02:08,960 Speaker 1: a solution to climate change. That's day they really believe that. Right, Trump, 982 01:02:09,080 --> 01:02:11,560 Speaker 1: they said, couldn't build a wall, which actually the wall 983 01:02:11,600 --> 01:02:13,600 Speaker 1: they've had about two hundred and fifty miles built, about 984 01:02:13,600 --> 01:02:16,080 Speaker 1: three hundred miles according to Chief Scott of the Border Patrol, 985 01:02:16,760 --> 01:02:19,840 Speaker 1: roughly three hundred miles currently being built. Two hundred fifty 986 01:02:19,880 --> 01:02:23,000 Speaker 1: miles built. You're looking at about and there's pretty short 987 01:02:23,000 --> 01:02:25,840 Speaker 1: period of time here from from today it'll be five 988 01:02:25,920 --> 01:02:29,640 Speaker 1: six hundred miles of wall. But building a wall is impossible. 989 01:02:29,920 --> 01:02:34,120 Speaker 1: Changing the global climate, that's that's just requires leadership. That's 990 01:02:34,120 --> 01:02:37,760 Speaker 1: where the Democrats want you to think. Now, that's their 991 01:02:38,160 --> 01:02:44,680 Speaker 1: their belief. Friends, this is entirely unserious, and then it's 992 01:02:44,720 --> 01:02:47,160 Speaker 1: a serious threat to our economy to our way of life. 993 01:02:48,160 --> 01:02:50,840 Speaker 1: But this proposition that if only we took climate change 994 01:02:50,840 --> 01:02:55,120 Speaker 1: more seriously, we wouldn't have forest fires, we wouldn't have hurricanes. 995 01:02:56,560 --> 01:03:00,000 Speaker 1: Are we going to invade China and shut down all 996 01:03:00,080 --> 01:03:03,280 Speaker 1: their factories and change all their environmental practices. Are we 997 01:03:03,360 --> 01:03:07,240 Speaker 1: going to tell India, sorry, no more cars? Global leadership? 998 01:03:07,480 --> 01:03:11,720 Speaker 1: What is that? Even the Paris Climate Accord, which is 999 01:03:11,720 --> 01:03:16,720 Speaker 1: what democrats point to big is a big pile and nothing. 1000 01:03:18,200 --> 01:03:21,440 Speaker 1: There's no enforcement mechanism. It's all kind of self reported 1001 01:03:21,440 --> 01:03:23,760 Speaker 1: and self graded. And yeah, sure, we're doing a great 1002 01:03:23,840 --> 01:03:27,320 Speaker 1: job limited carmate emissions. Let's go to a fancy meeting. 1003 01:03:27,320 --> 01:03:29,560 Speaker 1: We'll all sit around and talk to each other about 1004 01:03:29,600 --> 01:03:33,840 Speaker 1: how we are leading on the climate. No great, really fancy, 1005 01:03:33,920 --> 01:03:38,480 Speaker 1: really really wonderful stuff. But this is a religious belief, friends, 1006 01:03:38,560 --> 01:03:41,640 Speaker 1: So it doesn't matter. It doesn't matter what evidence I show. 1007 01:03:41,920 --> 01:03:46,080 Speaker 1: Doesn't matter that the average temperature in California now is 1008 01:03:46,120 --> 01:03:48,840 Speaker 1: compared to decades ago. I think it's one or two 1009 01:03:48,840 --> 01:03:52,240 Speaker 1: degrees warmer. You know, that's what we're talking. That's what 1010 01:03:52,280 --> 01:03:54,920 Speaker 1: climate change really says, that the climate may be a 1011 01:03:54,920 --> 01:03:57,840 Speaker 1: degree or two warmer on average in the next fifty 1012 01:03:58,040 --> 01:04:01,120 Speaker 1: to one hundred years. I think it's also worth noting 1013 01:04:02,200 --> 01:04:06,040 Speaker 1: that we've seen the scientific community, which is a very 1014 01:04:06,120 --> 01:04:08,520 Speaker 1: broad and really useless term, but we've seen the scientific 1015 01:04:08,600 --> 01:04:14,480 Speaker 1: community use modeling to tell us how many people are 1016 01:04:14,600 --> 01:04:17,760 Speaker 1: going to die from COVID nineteen, like the IHM models 1017 01:04:17,760 --> 01:04:21,240 Speaker 1: to the University of Washington, sponsored by Bill Gates. And 1018 01:04:21,280 --> 01:04:24,400 Speaker 1: they've been wrong, not just in advance of the numbers, 1019 01:04:24,440 --> 01:04:28,800 Speaker 1: they've been wrong like a week before. They can't predict squat. 1020 01:04:29,600 --> 01:04:33,560 Speaker 1: They're wrong and wrong again on an issue of urgent 1021 01:04:34,880 --> 01:04:39,600 Speaker 1: life and death national importance. They were way off, way off. 1022 01:04:41,520 --> 01:04:44,640 Speaker 1: But the scientific community, again broad term, it doesn't really 1023 01:04:44,640 --> 01:04:47,800 Speaker 1: mean all that much, wants you to think that they 1024 01:04:47,840 --> 01:04:52,160 Speaker 1: can tell you what the average global temperature change will 1025 01:04:52,200 --> 01:04:56,800 Speaker 1: be in fifty to one hundred years based on the 1026 01:04:56,920 --> 01:05:00,440 Speaker 1: change in what is accounts for. I think it's less 1027 01:05:00,440 --> 01:05:05,439 Speaker 1: than two percent of the atmosphere. That's that's what they're 1028 01:05:05,440 --> 01:05:13,560 Speaker 1: telling you. It's stunning, it's unbelievable, but it's a religious 1029 01:05:13,560 --> 01:05:15,480 Speaker 1: belief for people who think they're too smart for religion. 1030 01:05:16,600 --> 01:05:21,280 Speaker 1: I'm sorry. Point zero four percent of the atmosphere CO 1031 01:05:21,280 --> 01:05:25,120 Speaker 1: two point zero four percent of the atmosphere, So they're 1032 01:05:25,160 --> 01:05:30,560 Speaker 1: telling you that a change in the composition of point 1033 01:05:30,680 --> 01:05:37,200 Speaker 1: zero four percent of the atmosphere is going to destroy 1034 01:05:37,400 --> 01:05:41,840 Speaker 1: all life as we know it, based on their models. 1035 01:05:41,920 --> 01:05:45,600 Speaker 1: And if you have questions about this, and in the meantime, 1036 01:05:45,680 --> 01:05:48,200 Speaker 1: you still want your air condition to work, and you're 1037 01:05:48,240 --> 01:05:51,480 Speaker 1: a refrigerator to stay on, and you want I mean, 1038 01:05:51,600 --> 01:05:56,520 Speaker 1: California has mismanaged its water usage, has mismanaged its forest, 1039 01:05:56,760 --> 01:06:00,880 Speaker 1: has mismanaged its electricity because instead of looking at these 1040 01:06:00,880 --> 01:06:03,840 Speaker 1: issues for what they are, they have all these external 1041 01:06:03,960 --> 01:06:08,800 Speaker 1: beliefs of the climate change religion that influence everything else 1042 01:06:08,840 --> 01:06:12,440 Speaker 1: they're doing. Talk to anyone who knows land development, Talk 1043 01:06:12,480 --> 01:06:15,600 Speaker 1: to anyone in real estate in California. It's a nightmare 1044 01:06:15,880 --> 01:06:20,240 Speaker 1: of regulations of environmentalist groups funded by people like Styre, 1045 01:06:20,320 --> 01:06:22,200 Speaker 1: who you know, they get to live in a twenty 1046 01:06:22,240 --> 01:06:25,800 Speaker 1: million dollar mansion in Malibu overlooking the ocean. And tell 1047 01:06:25,840 --> 01:06:30,959 Speaker 1: all those dirty, poor people in the California interior, turn 1048 01:06:31,040 --> 01:06:34,840 Speaker 1: off your refrigerator, turn off your air conditioning. How dare 1049 01:06:34,880 --> 01:06:37,200 Speaker 1: you do you realize what you're doing to the climate. 1050 01:06:40,000 --> 01:06:47,920 Speaker 1: These people are arrogant frauds, and yet that's the it's 1051 01:06:47,960 --> 01:06:50,240 Speaker 1: a central ethos of the Democrat Party now and if 1052 01:06:50,280 --> 01:06:52,600 Speaker 1: you if you question this, they look at you like 1053 01:06:52,960 --> 01:06:57,080 Speaker 1: you're nuts, even though what that I that I've said 1054 01:06:57,120 --> 01:06:58,600 Speaker 1: to you here is in any way it should be 1055 01:06:58,640 --> 01:07:02,720 Speaker 1: in any way controversial. And yes, they have been unwilling 1056 01:07:02,760 --> 01:07:06,840 Speaker 1: to allow for management of forests because they don't they 1057 01:07:07,360 --> 01:07:10,000 Speaker 1: lived forest should be entirely untouched, so that the forestry 1058 01:07:10,040 --> 01:07:12,960 Speaker 1: management system is terrible, which means that there's a lot 1059 01:07:12,960 --> 01:07:15,120 Speaker 1: more undergrowth, which means it burns a lot faster and 1060 01:07:15,160 --> 01:07:19,080 Speaker 1: hotter than it normally would. They don't know what they're doing, friends, 1061 01:07:19,800 --> 01:07:22,160 Speaker 1: They don't know what they're doing, but they know you're 1062 01:07:22,160 --> 01:07:24,880 Speaker 1: wrong if you question it. And Gavin Newsom's you're to 1063 01:07:24,920 --> 01:07:28,560 Speaker 1: tell you they want to control the power you use 1064 01:07:28,640 --> 01:07:34,000 Speaker 1: in your home, the appliances, everything about your life because 1065 01:07:34,040 --> 01:07:36,680 Speaker 1: of climate change could come under the control of these 1066 01:07:36,720 --> 01:07:43,200 Speaker 1: religious zealots of the worship Earth religion. And Gavin Newsom 1067 01:07:43,280 --> 01:07:44,680 Speaker 1: saying this has coming too the whole country. If you 1068 01:07:44,720 --> 01:07:47,640 Speaker 1: just let the Democrats do what they want, doesn't sound 1069 01:07:47,640 --> 01:07:51,800 Speaker 1: like a good thing to me. Friends, you're in the 1070 01:07:51,920 --> 01:07:55,320 Speaker 1: freedom hud. This is the Buck Sex and Show podcast. 1071 01:07:58,880 --> 01:08:01,640 Speaker 1: I listened to fire for Nals. Not the President of 1072 01:08:01,640 --> 01:08:03,480 Speaker 1: the United States or a politician. When it comes to 1073 01:08:03,640 --> 01:08:07,280 Speaker 1: actually what causes these fires, it's been very clear that 1074 01:08:07,440 --> 01:08:09,800 Speaker 1: years of drought as we're seeing, whether it's too much 1075 01:08:10,000 --> 01:08:11,800 Speaker 1: water and too much rain in parts of our country 1076 01:08:11,880 --> 01:08:15,080 Speaker 1: right now or too little, this is climate change. And 1077 01:08:15,160 --> 01:08:17,519 Speaker 1: this is an administration that's put its head in the sand. 1078 01:08:17,920 --> 01:08:21,160 Speaker 1: While we have Democratic and Republican mayors across the country 1079 01:08:21,400 --> 01:08:23,960 Speaker 1: stepping up to do their part. This is an administration 1080 01:08:24,000 --> 01:08:26,719 Speaker 1: a president who wants to withdraw from the Paris Climate 1081 01:08:26,720 --> 01:08:30,519 Speaker 1: Accords later this year, the only country in the world 1082 01:08:30,600 --> 01:08:33,479 Speaker 1: to do so. Talk to a firefighter if you think 1083 01:08:33,479 --> 01:08:36,200 Speaker 1: that climate change isn't real, and it seems like this 1084 01:08:36,240 --> 01:08:39,439 Speaker 1: administration the last vestiges of the flat earth society of 1085 01:08:39,520 --> 01:08:43,040 Speaker 1: this generation. We need real action. We need to actually 1086 01:08:43,080 --> 01:08:45,800 Speaker 1: reduce the carbon emissions that we have, and we need 1087 01:08:45,840 --> 01:08:47,519 Speaker 1: to make sure we can manage that water. And this 1088 01:08:47,640 --> 01:08:51,160 Speaker 1: is not about just forced management or raking. Anybody who 1089 01:08:51,160 --> 01:08:53,800 Speaker 1: lives here in California's insulted by that, quite frankly, and 1090 01:08:53,840 --> 01:08:56,240 Speaker 1: he keeps perpetrating this line. Meanwhile, if you go to 1091 01:08:56,280 --> 01:08:58,680 Speaker 1: the sand, just go chronicle. We'll even publish. This is 1092 01:08:58,680 --> 01:09:00,720 Speaker 1: climate change worse than californ When your freest or is 1093 01:09:00,720 --> 01:09:04,080 Speaker 1: it poor forest management both. So Garcetti's accusing the President 1094 01:09:04,080 --> 01:09:06,439 Speaker 1: of lying for pointing out the forest management in California 1095 01:09:06,520 --> 01:09:10,160 Speaker 1: is terrible, when the experts that Garcetti sites are like, yeah, no, 1096 01:09:10,200 --> 01:09:14,240 Speaker 1: the forest management's terrible. Maybe the changing climate, whether it's 1097 01:09:14,240 --> 01:09:16,639 Speaker 1: from CO two or not, right, maybe the changing climate 1098 01:09:16,680 --> 01:09:18,960 Speaker 1: is playing a role. Climate is always playing a role. 1099 01:09:19,560 --> 01:09:23,000 Speaker 1: This is liberals can't think. Their brains can't wrap around this, 1100 01:09:23,280 --> 01:09:26,240 Speaker 1: that the climate the world is not a stable climate always. 1101 01:09:26,280 --> 01:09:30,160 Speaker 1: It's not always staying at the same temperature. It's constantly influx, 1102 01:09:30,280 --> 01:09:32,760 Speaker 1: it's constantly changing. It's like a chaos system. You don't 1103 01:09:32,760 --> 01:09:35,679 Speaker 1: know what's going to happen, what's coming with it's constantly 1104 01:09:35,760 --> 01:09:38,680 Speaker 1: changing over time. So of course there's climate change, But 1105 01:09:38,880 --> 01:09:41,880 Speaker 1: is it this crisis that they're making it out to be. 1106 01:09:44,680 --> 01:09:49,599 Speaker 1: There's been a century of mismanaging Sierra Nevada forests. Nevada forests, 1107 01:09:49,640 --> 01:09:55,120 Speaker 1: pardon me, that is impacting all of California right now. 1108 01:09:57,920 --> 01:10:01,759 Speaker 1: Forest management is a major part of the problem, according 1109 01:10:01,760 --> 01:10:05,519 Speaker 1: to people whose jobs are to fight fires. But when 1110 01:10:05,520 --> 01:10:07,880 Speaker 1: Democrats talk about it, they say the president's just lying 1111 01:10:08,280 --> 01:10:11,439 Speaker 1: because they're nuts, because they it doesn't matter They'll say 1112 01:10:12,160 --> 01:10:15,240 Speaker 1: whatever they have to say as long as it allows 1113 01:10:15,280 --> 01:10:18,280 Speaker 1: them to do what they want and keep the popular, 1114 01:10:19,280 --> 01:10:22,599 Speaker 1: unwashed masses in place. Richard Grinnell went after Pelosio on 1115 01:10:22,640 --> 01:10:25,000 Speaker 1: this one. This is the Democrat ethos. Now, I'm gonna 1116 01:10:25,000 --> 01:10:26,360 Speaker 1: tell you everything you have to do, and then I'm 1117 01:10:26,360 --> 01:10:28,120 Speaker 1: gonna do different things that if you question it, you're 1118 01:10:28,160 --> 01:10:32,160 Speaker 1: not about science. Play five. Let me let me tell 1119 01:10:32,200 --> 01:10:34,800 Speaker 1: you one thing that I learned about being in Washington, 1120 01:10:34,880 --> 01:10:38,720 Speaker 1: d C. There's a whole group of people in Washington, 1121 01:10:38,840 --> 01:10:44,360 Speaker 1: d C. Who hate the outsider. They have their own rules. 1122 01:10:45,120 --> 01:10:49,760 Speaker 1: You see. Their rules allow them to go to San 1123 01:10:49,800 --> 01:10:55,439 Speaker 1: Francisco get their hair done, and then they demand an 1124 01:10:55,439 --> 01:10:59,880 Speaker 1: apology from you for not keeping a secret. The whole 1125 01:11:00,200 --> 01:11:05,280 Speaker 1: town works on secrets, back room deals. They spoon feed 1126 01:11:05,400 --> 01:11:10,080 Speaker 1: you information, they keep information from you, indeed they do. 1127 01:11:10,920 --> 01:11:14,400 Speaker 1: Thanks for listening to the buses and show podcasts. Remember 1128 01:11:14,439 --> 01:11:18,200 Speaker 1: to subscribe on Apple podcasts, the iHeartRadio app for wherever 1129 01:11:18,280 --> 01:11:22,719 Speaker 1: you get your podcasts. Some good signs in the polling, 1130 01:11:22,840 --> 01:11:24,360 Speaker 1: at least for those of us who are hoping the 1131 01:11:24,360 --> 01:11:27,120 Speaker 1: President Trump does get four more years. What are these 1132 01:11:27,280 --> 01:11:30,080 Speaker 1: dynamics as they're playing out, especially when it comes to 1133 01:11:30,240 --> 01:11:35,640 Speaker 1: Hispanic community. We've got director of strategic Communications for the 1134 01:11:35,640 --> 01:11:38,640 Speaker 1: Trump campaign, Mark Lotter with us now. Mark, thanks for 1135 01:11:38,680 --> 01:11:40,880 Speaker 1: making the time. I know you're busy. Oh thanks for 1136 01:11:40,880 --> 01:11:43,679 Speaker 1: having me, Buck. So what are we seeing here with 1137 01:11:43,760 --> 01:11:47,840 Speaker 1: the surge and Hispanic support for Trump? Where is it? 1138 01:11:47,920 --> 01:11:49,439 Speaker 1: How much of there is it? And why do you 1139 01:11:49,439 --> 01:11:52,679 Speaker 1: think it's happening? Well? And there's been some recent public 1140 01:11:52,680 --> 01:11:56,920 Speaker 1: polling that shows that Joe Biden is significantly underperforming even 1141 01:11:57,000 --> 01:12:01,160 Speaker 1: Hillary Clinton in Florida among his band and Latino voters. 1142 01:12:01,160 --> 01:12:03,800 Speaker 1: Of course, that's a state that Donald Trump won in 1143 01:12:03,840 --> 01:12:06,439 Speaker 1: twenty sixteen. So if he's doing worse than that very 1144 01:12:06,520 --> 01:12:08,920 Speaker 1: key demographic, I think it's one of the reasons why 1145 01:12:08,960 --> 01:12:11,559 Speaker 1: you saw him scramble to send Kamala Harris down there 1146 01:12:11,640 --> 01:12:14,160 Speaker 1: last week. He's heading there later this week, and they're 1147 01:12:14,200 --> 01:12:16,720 Speaker 1: even trying to tap Michael Bloomberg to see if he 1148 01:12:16,720 --> 01:12:18,519 Speaker 1: can go buy an election for them down in the 1149 01:12:18,600 --> 01:12:20,639 Speaker 1: state of Florida. But it doesn't really matter how much 1150 01:12:20,640 --> 01:12:23,120 Speaker 1: money they have to spend when you have Joe Biden's 1151 01:12:23,160 --> 01:12:26,799 Speaker 1: really bad message, it's not gonna work. One hundred million 1152 01:12:26,840 --> 01:12:30,280 Speaker 1: dollars is what I saw the Bloomberg's willing to spend 1153 01:12:30,360 --> 01:12:32,519 Speaker 1: just in the state of Florida. Of course, we're not 1154 01:12:32,560 --> 01:12:35,520 Speaker 1: going to hear Democrats complain about big money in politics 1155 01:12:35,640 --> 01:12:37,760 Speaker 1: when it comes to that, right, but one hundred million 1156 01:12:37,800 --> 01:12:39,720 Speaker 1: dollars state of Florida, which is going to be the 1157 01:12:39,720 --> 01:12:43,200 Speaker 1: biggest spend, I think without the desired results. Since Jeff 1158 01:12:43,200 --> 01:12:45,880 Speaker 1: Bush spent about one hundred million dollars to get what 1159 01:12:45,960 --> 01:12:49,240 Speaker 1: was it a few delegates didn't go so well, right, 1160 01:12:49,320 --> 01:12:51,960 Speaker 1: And Michael Bloomberg proved it himself. He spent a billion 1161 01:12:52,000 --> 01:12:54,559 Speaker 1: dollars and didn't get anything out of it in the 1162 01:12:54,600 --> 01:12:57,839 Speaker 1: primary process. It just shows you can't buy an election 1163 01:12:58,240 --> 01:13:01,360 Speaker 1: if your message is so bad and horribly flawed. And 1164 01:13:01,400 --> 01:13:04,040 Speaker 1: when you look at Joe Biden's plans for four trillion 1165 01:13:04,040 --> 01:13:06,960 Speaker 1: dollars in new taxes and the Green raw Deal, or 1166 01:13:07,160 --> 01:13:10,760 Speaker 1: his history of being soft on Cuba, soft on the 1167 01:13:11,680 --> 01:13:15,200 Speaker 1: dictatorship in Venezuela, it's not going to resonate. No matter 1168 01:13:15,240 --> 01:13:17,840 Speaker 1: how much money Michael Bloomberg wants to waste, he's still 1169 01:13:17,880 --> 01:13:21,240 Speaker 1: not going to make any inroads in Florida. What can 1170 01:13:21,280 --> 01:13:23,559 Speaker 1: you tell us about And we're speaking to Mark Ladder, 1171 01:13:23,640 --> 01:13:26,880 Speaker 1: director of Strategic communications for the Trump campaign, Mark, what 1172 01:13:26,960 --> 01:13:30,200 Speaker 1: can you tell us about the whatever you've seen, because 1173 01:13:30,240 --> 01:13:32,920 Speaker 1: because here's the theory, and I think it's a pretty 1174 01:13:32,920 --> 01:13:35,160 Speaker 1: sound one, that the reason there's been a change in 1175 01:13:35,200 --> 01:13:38,920 Speaker 1: tone even before the horrific shooting of two Los Angeles 1176 01:13:39,000 --> 01:13:42,280 Speaker 1: County Sheriff's deputies over the weekend. But there was a 1177 01:13:42,360 --> 01:13:45,440 Speaker 1: change last week or two, i'd say, from some Democrats 1178 01:13:45,479 --> 01:13:49,760 Speaker 1: about just how extremely supportive of BLM they're willing to be. 1179 01:13:50,000 --> 01:13:52,240 Speaker 1: And people have said this is because the public polling 1180 01:13:52,280 --> 01:13:55,320 Speaker 1: has turned against them. What can you tell us about 1181 01:13:55,320 --> 01:13:59,640 Speaker 1: how this issue, you know, from just a political strategy perspective, 1182 01:14:00,200 --> 01:14:02,280 Speaker 1: is now a liability. It seems like it's just to 1183 01:14:02,320 --> 01:14:05,120 Speaker 1: become a liability for Democrats in swing states, not in 1184 01:14:05,160 --> 01:14:08,679 Speaker 1: New York and California. Well, it really is a huge 1185 01:14:08,680 --> 01:14:10,479 Speaker 1: We've seen a huge shift in the polls, and I 1186 01:14:10,520 --> 01:14:13,599 Speaker 1: think it's a lot to do with the violence, the arson, 1187 01:14:13,760 --> 01:14:16,680 Speaker 1: the rioting, looting, shootings, and homicides that we've seen in 1188 01:14:16,800 --> 01:14:20,920 Speaker 1: so many Democrat run cities and states, and the Democrats 1189 01:14:20,960 --> 01:14:23,800 Speaker 1: failure for months to even condemn it and come out 1190 01:14:23,800 --> 01:14:26,160 Speaker 1: opposed to it. I mean, Joe Biden called police the 1191 01:14:26,240 --> 01:14:29,400 Speaker 1: enemy Kamala Harris compared them to the clan, and as 1192 01:14:29,439 --> 01:14:32,879 Speaker 1: I travel around the country that I hear the exact opposite. 1193 01:14:32,880 --> 01:14:35,280 Speaker 1: And I hear so many people who even say, look, 1194 01:14:35,280 --> 01:14:37,240 Speaker 1: they've had a history of maybe being down the middle 1195 01:14:37,280 --> 01:14:39,679 Speaker 1: and voting Democrat in the past, and they just shake 1196 01:14:39,720 --> 01:14:42,080 Speaker 1: their heads when they see those kinds of things because 1197 01:14:42,120 --> 01:14:44,439 Speaker 1: they know that the men and women who put on 1198 01:14:44,479 --> 01:14:47,320 Speaker 1: the uniform and that badge and go out every day 1199 01:14:47,360 --> 01:14:50,320 Speaker 1: to respond to your nine one one emergency, they're the 1200 01:14:50,400 --> 01:14:54,080 Speaker 1: best of us, and we need more police, not less police. 1201 01:14:54,439 --> 01:14:57,479 Speaker 1: And so I've we've seen this happening in the battleground states, 1202 01:14:57,479 --> 01:15:01,480 Speaker 1: but we've also seen it happen in on traditionally Republican 1203 01:15:01,680 --> 01:15:05,880 Speaker 1: or not traditionally Republican constituencies. It's really having an impact 1204 01:15:05,960 --> 01:15:09,440 Speaker 1: on Joe Biden in the black community in the suburbs, 1205 01:15:09,439 --> 01:15:12,160 Speaker 1: which he's counting on, because they don't want to see 1206 01:15:12,160 --> 01:15:16,240 Speaker 1: a soft on crime pro protester movement, which is really 1207 01:15:16,240 --> 01:15:21,439 Speaker 1: what the Democrats have become. Mark Pennsylvania, Ohio, Florida seemed 1208 01:15:21,479 --> 01:15:23,760 Speaker 1: like the Big three. There are other critical states. I 1209 01:15:23,880 --> 01:15:25,880 Speaker 1: know you and the campaign are going to be putting 1210 01:15:25,920 --> 01:15:28,920 Speaker 1: a lot of effort and energy into But tell me 1211 01:15:28,960 --> 01:15:32,280 Speaker 1: specifically about about what the strategy is to get to 1212 01:15:32,400 --> 01:15:34,879 Speaker 1: get those wins wracked up. We just talked about Florida, 1213 01:15:35,040 --> 01:15:37,400 Speaker 1: but what are we doing in Pennsylvania. My good friend 1214 01:15:37,439 --> 01:15:40,280 Speaker 1: Sean Parnell's running in a tight congressional race out there. 1215 01:15:40,320 --> 01:15:43,280 Speaker 1: He's talking about the dynamics at play in Ohio. It 1216 01:15:43,600 --> 01:15:46,000 Speaker 1: feels like if Trump wins those two plus Florida, we're 1217 01:15:46,000 --> 01:15:49,720 Speaker 1: good to go. Well so the so in Pennsylvania. It's 1218 01:15:49,840 --> 01:15:53,280 Speaker 1: definitely a message about the economy, especially in western Pennsylvania. 1219 01:15:53,320 --> 01:15:55,120 Speaker 1: In fact, I was with the Vice president last week, 1220 01:15:55,160 --> 01:15:58,919 Speaker 1: as John Ronell, at an event last week in that district, 1221 01:15:59,240 --> 01:16:02,200 Speaker 1: and it's a when you talk about you, Joe Biden 1222 01:16:02,360 --> 01:16:07,360 Speaker 1: and his open embrace of ending fracking, being against fracking, 1223 01:16:07,560 --> 01:16:08,800 Speaker 1: and then he has to come out and try to 1224 01:16:08,840 --> 01:16:12,479 Speaker 1: distance himself from it because he again sees the numbers 1225 01:16:12,520 --> 01:16:15,439 Speaker 1: are starting to trend away from him. And as we 1226 01:16:15,560 --> 01:16:18,360 Speaker 1: look at across the country, we see it's not just 1227 01:16:18,400 --> 01:16:22,000 Speaker 1: about fracking. It's about energy independence. And you can look 1228 01:16:22,000 --> 01:16:24,240 Speaker 1: no further than the mayor of Los Angeles a few 1229 01:16:24,240 --> 01:16:26,320 Speaker 1: weeks ago telling people to turn up their air conditioning 1230 01:16:26,320 --> 01:16:28,760 Speaker 1: to seventy eight. Turn off their lights and TVs at 1231 01:16:28,760 --> 01:16:31,280 Speaker 1: three o'clock in the afternoon because there's going to be blackouts. 1232 01:16:31,720 --> 01:16:34,600 Speaker 1: That is a preview of what Joe Biden's America is 1233 01:16:34,600 --> 01:16:36,640 Speaker 1: going to be. And then you go to places like 1234 01:16:36,680 --> 01:16:40,920 Speaker 1: western or western Pennsylvania, eastern Ohio and other states where 1235 01:16:40,960 --> 01:16:45,320 Speaker 1: fracking is really big. Now we're talking about hundreds of 1236 01:16:45,400 --> 01:16:48,400 Speaker 1: thousands of jobs that are going to be eliminated. And 1237 01:16:48,600 --> 01:16:51,720 Speaker 1: for a campaign that's hoping to make strides from Joe 1238 01:16:51,760 --> 01:16:54,760 Speaker 1: Biden's standpoint, telling one hundred thousand people they're going to 1239 01:16:54,800 --> 01:16:58,400 Speaker 1: be out of jobs in Pennsylvania and Texas and eastern 1240 01:16:58,400 --> 01:17:00,840 Speaker 1: Ohio and other places, that's not going to be a 1241 01:17:00,880 --> 01:17:05,280 Speaker 1: winning message. Are you seeing undersampling in some of the 1242 01:17:05,320 --> 01:17:09,519 Speaker 1: public national polls? Undersampling of Republicans? Is that I see 1243 01:17:09,520 --> 01:17:11,519 Speaker 1: a lot of people in conservative media that point to 1244 01:17:11,600 --> 01:17:15,240 Speaker 1: this as a concern. You know, I'm just wondering, is 1245 01:17:15,280 --> 01:17:17,840 Speaker 1: that something that you all would agree with that there 1246 01:17:17,920 --> 01:17:19,719 Speaker 1: is that some of the polling looks to be skewed 1247 01:17:19,760 --> 01:17:21,800 Speaker 1: a little bit, or do you just worry about your 1248 01:17:21,800 --> 01:17:24,760 Speaker 1: internal polling and keep fighting the fight you're in. Well, 1249 01:17:24,800 --> 01:17:26,680 Speaker 1: I mean, obviously we gave a better tab on our 1250 01:17:26,720 --> 01:17:29,240 Speaker 1: internal numbers because we were right in twenty sixteen, they 1251 01:17:29,240 --> 01:17:31,920 Speaker 1: were wrong, and we think they're wrong again. But it 1252 01:17:32,080 --> 01:17:35,519 Speaker 1: is true there is a massive underreporting going on in 1253 01:17:35,560 --> 01:17:38,200 Speaker 1: many of these national polls. I don't think they learned 1254 01:17:38,240 --> 01:17:40,920 Speaker 1: the lessons from twenty sixteen about how to identify what 1255 01:17:41,040 --> 01:17:43,519 Speaker 1: the electric is going to look like and to make 1256 01:17:43,560 --> 01:17:48,120 Speaker 1: matters worse. When you understample Republicans, and there's no question 1257 01:17:48,160 --> 01:17:51,719 Speaker 1: that Republicans are the more energetic voters for their candidate 1258 01:17:51,720 --> 01:17:55,879 Speaker 1: than Democrats are for Joe Biden, you're just magnifying that impact. 1259 01:17:55,960 --> 01:17:58,880 Speaker 1: So you're under reporting the people who are most likely 1260 01:17:58,920 --> 01:18:01,559 Speaker 1: to come out and vote for their candidate. I've said 1261 01:18:01,560 --> 01:18:03,559 Speaker 1: it in the past. These polsters that are doing this 1262 01:18:03,640 --> 01:18:07,439 Speaker 1: are either incompetent or they're corrupt because they either can't 1263 01:18:07,439 --> 01:18:10,200 Speaker 1: figure out their mistakes, or they're intentionally trying to create 1264 01:18:10,200 --> 01:18:13,519 Speaker 1: a narrative to depress Republican voters, to make them think 1265 01:18:13,560 --> 01:18:17,360 Speaker 1: that the race is lost when it absolutely is not lost. 1266 01:18:17,400 --> 01:18:19,519 Speaker 1: In fact, I would say, you know, we are ahead 1267 01:18:19,520 --> 01:18:21,439 Speaker 1: of where we needed to be, and we're ahead of 1268 01:18:21,439 --> 01:18:24,400 Speaker 1: where we were in sixteen, and we're ahead where we 1269 01:18:24,479 --> 01:18:27,920 Speaker 1: need to be to get to seventy if you had 1270 01:18:27,960 --> 01:18:30,599 Speaker 1: to pick. I was asked over the weekend if there's 1271 01:18:30,680 --> 01:18:34,320 Speaker 1: one state that was blue the last time that you 1272 01:18:34,400 --> 01:18:37,040 Speaker 1: think could realistically go red this time, and maybe you 1273 01:18:37,080 --> 01:18:39,920 Speaker 1: can give me a two or three. But you know, 1274 01:18:40,160 --> 01:18:41,840 Speaker 1: so I'm not asking for because obviously, if you win, 1275 01:18:41,840 --> 01:18:44,439 Speaker 1: would you one last time? Congratulations? Four more years, right? 1276 01:18:44,439 --> 01:18:45,800 Speaker 1: But I'm just if we're going to run up the 1277 01:18:45,800 --> 01:18:48,479 Speaker 1: scoreboard a little bit, what state would you think right 1278 01:18:48,479 --> 01:18:51,839 Speaker 1: now that had been just narrowly blue in twenty sixteen 1279 01:18:51,840 --> 01:18:54,080 Speaker 1: to this time around we could flit Well, I think 1280 01:18:54,120 --> 01:18:58,920 Speaker 1: there's three top candidates there. Minnesota, absolutely, we've seen it. 1281 01:18:58,960 --> 01:19:00,840 Speaker 1: The President only lost it by a point and a 1282 01:19:00,880 --> 01:19:04,040 Speaker 1: half in twenty sixteen. And even just a few weeks ago, 1283 01:19:04,360 --> 01:19:08,120 Speaker 1: you saw a number of Democrat former Democrat mayors in 1284 01:19:08,200 --> 01:19:11,120 Speaker 1: what's called the Iron Range in Minnesota come out and 1285 01:19:11,120 --> 01:19:14,240 Speaker 1: say they're supporting President Trump because he supports the workers 1286 01:19:14,240 --> 01:19:17,200 Speaker 1: in their communities. And so I think that one's a 1287 01:19:17,240 --> 01:19:19,360 Speaker 1: top target. I would believe that New Hampshire would be 1288 01:19:19,360 --> 01:19:22,120 Speaker 1: a target. It's only about twenty six hundred votes that 1289 01:19:22,200 --> 01:19:24,840 Speaker 1: the President lost that in in twenty sixteen. And then 1290 01:19:24,960 --> 01:19:28,320 Speaker 1: Nevada as well, because you'll see the president. Obviously he's 1291 01:19:28,360 --> 01:19:31,320 Speaker 1: in Nevada right now. But one of the big differences 1292 01:19:31,360 --> 01:19:34,720 Speaker 1: in Nevada is, obviously they are so economically driven, and 1293 01:19:34,760 --> 01:19:37,200 Speaker 1: when you have a platform like Joe Biden's to raise 1294 01:19:37,240 --> 01:19:40,599 Speaker 1: taxes by four trillion dollars, let's four trillion dollars, people 1295 01:19:40,640 --> 01:19:43,760 Speaker 1: don't have to spend at the resorts and casinos and 1296 01:19:43,800 --> 01:19:47,000 Speaker 1: amenities in Los ange Vegas and in Reno. But it's 1297 01:19:47,040 --> 01:19:50,000 Speaker 1: also huge because companies aren't going to have those of 1298 01:19:50,000 --> 01:19:53,240 Speaker 1: that money that they can spend at conferences and conventions, 1299 01:19:53,439 --> 01:19:56,599 Speaker 1: which are really a driving force in Nevada, Nevada and 1300 01:19:56,680 --> 01:20:01,800 Speaker 1: in Florida's tourism based industries. And the violence that you're 1301 01:20:01,840 --> 01:20:05,519 Speaker 1: seeing in cities across the country, the surgeon violence, the 1302 01:20:05,600 --> 01:20:10,200 Speaker 1: anarchy in the streets. The Biden campaign doesn't seem like 1303 01:20:10,200 --> 01:20:13,360 Speaker 1: it has a clear message about this. What is the 1304 01:20:13,360 --> 01:20:17,599 Speaker 1: Trump campaign? How does the Trump campaign describe the Biden choice? Here? 1305 01:20:19,000 --> 01:20:20,800 Speaker 1: They're between a rock and a hard place of their 1306 01:20:20,800 --> 01:20:24,280 Speaker 1: own making. When they decided to align themselves with the 1307 01:20:24,400 --> 01:20:28,599 Speaker 1: radicals of the Democrat Party, the BLM and the folks 1308 01:20:28,600 --> 01:20:33,000 Speaker 1: who are out there rioting arson looting, well, they put 1309 01:20:33,000 --> 01:20:37,480 Speaker 1: themselves at odds with the police with the majority of Americans, 1310 01:20:37,560 --> 01:20:40,280 Speaker 1: and they stayed there for months on end. And it 1311 01:20:40,360 --> 01:20:43,040 Speaker 1: should really tell a lot of folks something. When you 1312 01:20:43,120 --> 01:20:46,559 Speaker 1: have the largest police organizations in our country, whether it's 1313 01:20:46,600 --> 01:20:53,280 Speaker 1: the National Fraternal Order of Police NYPD, Chicago Police, Texas 1314 01:20:53,360 --> 01:20:57,639 Speaker 1: Police Associations, Southern police organizations, they are all coming out 1315 01:20:57,920 --> 01:21:00,919 Speaker 1: in support of this president because they know he's standing 1316 01:21:00,920 --> 01:21:03,559 Speaker 1: with them and that what we can do more than 1317 01:21:03,640 --> 01:21:06,400 Speaker 1: one thing at a time. We can root out injustice, 1318 01:21:06,520 --> 01:21:10,000 Speaker 1: we can improve training where it needs to be improved, 1319 01:21:10,320 --> 01:21:13,280 Speaker 1: but it doesn't mean we defund the police and or 1320 01:21:13,520 --> 01:21:16,880 Speaker 1: turn our attention against the men and women in blue. 1321 01:21:16,960 --> 01:21:20,240 Speaker 1: We got to stand with them and help them and 1322 01:21:20,439 --> 01:21:23,040 Speaker 1: defend them, not defund them. I think it puts them 1323 01:21:23,080 --> 01:21:26,200 Speaker 1: in a bad position, especially in places like Minnesota, like 1324 01:21:26,400 --> 01:21:29,680 Speaker 1: Wisconsin who have seen this violence up close, and I 1325 01:21:29,680 --> 01:21:32,560 Speaker 1: think it will it will reverberate across many other communities. 1326 01:21:32,720 --> 01:21:35,799 Speaker 1: Speaking the director of strategic communications for the Trump campaign, 1327 01:21:35,840 --> 01:21:40,200 Speaker 1: Mark Lauter, Mark, I'm watching this whole issue of the 1328 01:21:40,720 --> 01:21:46,880 Speaker 1: Democrats preparing to not concede, planning to not concede very closely. 1329 01:21:47,360 --> 01:21:50,200 Speaker 1: I think it would be foolish to ignore that some 1330 01:21:50,240 --> 01:21:52,559 Speaker 1: of the biggest voices in the Democrat Party have been 1331 01:21:52,600 --> 01:21:55,000 Speaker 1: saying openly, I mean, this isn't some conspiracy theory that 1332 01:21:55,040 --> 01:21:57,799 Speaker 1: people reading about in the comments section of a website somewhere. 1333 01:21:58,120 --> 01:22:02,519 Speaker 1: This seems like there's a movement underway, you know, top 1334 01:22:02,560 --> 01:22:06,559 Speaker 1: writers on the left, people with big platforms, Hillary Clinton herself. 1335 01:22:07,160 --> 01:22:11,000 Speaker 1: How is the campaign viewing this and preparing for what 1336 01:22:11,120 --> 01:22:14,920 Speaker 1: could quickly go from a victory at the polls to 1337 01:22:15,040 --> 01:22:19,160 Speaker 1: a battlefield in the courts. Well, we're ready to fight 1338 01:22:19,240 --> 01:22:21,479 Speaker 1: that battle, and we are already fighting it in every 1339 01:22:21,520 --> 01:22:25,160 Speaker 1: state where we see Democrats trying to exceed the letter 1340 01:22:25,200 --> 01:22:28,960 Speaker 1: of the law and change to these very dangerous unsecured 1341 01:22:29,080 --> 01:22:32,920 Speaker 1: voting by male mechanisms which are ripe for fraud and abuse. 1342 01:22:32,960 --> 01:22:36,120 Speaker 1: And we'll continue to have that fight. But also in 1343 01:22:36,160 --> 01:22:38,320 Speaker 1: a way, I would tell you that it's actually energizing 1344 01:22:38,320 --> 01:22:41,599 Speaker 1: the Republican base because we need to know and everyone 1345 01:22:41,600 --> 01:22:43,479 Speaker 1: out there needs to know that the best way we 1346 01:22:43,520 --> 01:22:45,880 Speaker 1: can guarantee that the Democrats won't cheat and steal this 1347 01:22:45,920 --> 01:22:48,400 Speaker 1: election away from the president is to have such a 1348 01:22:48,479 --> 01:22:51,640 Speaker 1: huge margin of victory they can't cheat and steal this 1349 01:22:51,720 --> 01:22:54,360 Speaker 1: away from the president. And so I think in a 1350 01:22:54,400 --> 01:22:56,479 Speaker 1: way it's bringing a lot of a lot more people 1351 01:22:56,520 --> 01:22:59,080 Speaker 1: to the polls. It's making sure that everyone out there 1352 01:22:59,360 --> 01:23:01,360 Speaker 1: is talking to all their friends and neighbors and making 1353 01:23:01,400 --> 01:23:03,840 Speaker 1: sure they get to the polls, because that's the only 1354 01:23:03,880 --> 01:23:06,720 Speaker 1: way we're gonna be able to stop it if that's 1355 01:23:06,720 --> 01:23:10,920 Speaker 1: what they choose to do. From the Trump campaign, Mark Latter, Mark, 1356 01:23:11,640 --> 01:23:16,080 Speaker 1: good good luck, good work, and please come back soon. Thanks. 1357 01:23:18,040 --> 01:23:21,040 Speaker 1: You're in the Freedom mind. This is the Buck Sexton 1358 01:23:21,120 --> 01:23:28,400 Speaker 1: Show podcast. Look here this is asked and answer Jake. Look, 1359 01:23:28,520 --> 01:23:30,920 Speaker 1: here's the thing. He was not honest with you guys people. 1360 01:23:31,120 --> 01:23:33,720 Speaker 1: They're not answering the question. You're not honest with the 1361 01:23:33,760 --> 01:23:38,560 Speaker 1: American people. CNN is not honest with them. CNN. You 1362 01:23:38,600 --> 01:23:40,559 Speaker 1: want to go there. I mean, I say, you're not 1363 01:23:40,600 --> 01:23:43,360 Speaker 1: answering the question. Here's here's thank Thank you, Peter Tomorrow. 1364 01:23:43,520 --> 01:23:45,160 Speaker 1: Thank we just played to answer. You didn't answer. You 1365 01:23:45,200 --> 01:23:47,040 Speaker 1: didn't answer the ques answer. No, you can't say that 1366 01:23:47,040 --> 01:23:49,479 Speaker 1: I didn't answer the question impeatedly. Jake, you just did. 1367 01:23:50,600 --> 01:23:52,680 Speaker 1: Thank you so much. I appreciate your time today. Thank 1368 01:23:52,680 --> 01:23:54,160 Speaker 1: you so much. And I would just like to remind 1369 01:23:54,360 --> 01:23:58,439 Speaker 1: the people watching. I am reminded that the United States 1370 01:23:58,680 --> 01:24:02,080 Speaker 1: has less than five percent of the world's population, and 1371 01:24:02,160 --> 01:24:05,240 Speaker 1: the United States has more than twenty percent of the 1372 01:24:05,280 --> 01:24:09,240 Speaker 1: world's coronavirus deaths. I just want to remind America, and 1373 01:24:09,360 --> 01:24:12,680 Speaker 1: I'm a fake journalist who pretends to be objective and 1374 01:24:12,760 --> 01:24:19,080 Speaker 1: does the bidding of the DNC. There's that too. How 1375 01:24:19,080 --> 01:24:22,760 Speaker 1: about how about this jake? There are big parts of 1376 01:24:22,760 --> 01:24:25,360 Speaker 1: the world where there have been basically no COVID cases reported, 1377 01:24:25,400 --> 01:24:27,240 Speaker 1: and we don't even know why. Sub Saharan Africa very 1378 01:24:27,280 --> 01:24:29,920 Speaker 1: little COVID. Why is that? We don't know. Nobody really 1379 01:24:29,960 --> 01:24:32,000 Speaker 1: has a good explanation for it. Do you know that 1380 01:24:32,040 --> 01:24:37,080 Speaker 1: if you were to adjust for population, Spain now has 1381 01:24:37,120 --> 01:24:41,479 Speaker 1: about thirty thousand deaths and is having big spikes, daily 1382 01:24:41,520 --> 01:24:44,040 Speaker 1: spikes in cases, but they have masks. Oh, it didn't 1383 01:24:44,080 --> 01:24:46,400 Speaker 1: change anything, did it. If you adjust for population, the 1384 01:24:46,479 --> 01:24:48,880 Speaker 1: US is about six times the size of Spain. A 1385 01:24:48,920 --> 01:24:53,280 Speaker 1: little more than that. Guess what six times thirty is 1386 01:24:53,640 --> 01:24:56,320 Speaker 1: one hundred and eighty. Guess how many deaths we have 1387 01:24:56,360 --> 01:24:59,320 Speaker 1: in the US from COVID About one hundred and what 1388 01:24:59,360 --> 01:25:01,200 Speaker 1: is it? One hundred? I need two hundred thousand right now, 1389 01:25:01,960 --> 01:25:03,880 Speaker 1: and we have a much less healthy I'm just gonna 1390 01:25:03,880 --> 01:25:06,000 Speaker 1: say it. America's number one in so many great ways, 1391 01:25:06,040 --> 01:25:08,559 Speaker 1: but we have a very unhealthy population when it comes 1392 01:25:08,560 --> 01:25:12,040 Speaker 1: to hypertension, obesity, and a bunch of these ailments that 1393 01:25:12,080 --> 01:25:14,960 Speaker 1: are the worst possible thing to add into the mix 1394 01:25:15,000 --> 01:25:20,920 Speaker 1: when you get COVID. So we are basically right along 1395 01:25:21,000 --> 01:25:23,719 Speaker 1: where we did, better than Italy, We're right along with Spain, 1396 01:25:23,840 --> 01:25:27,559 Speaker 1: better than the UK. But why why do we have 1397 01:25:27,800 --> 01:25:29,760 Speaker 1: you know, we have twenty percent of the COVID deaths 1398 01:25:30,000 --> 01:25:33,519 Speaker 1: or whatever it is for the cases is meaningless. They 1399 01:25:33,520 --> 01:25:36,160 Speaker 1: can keep talking about this all day, but they've also 1400 01:25:36,200 --> 01:25:38,479 Speaker 1: stopped because cases are going way down. Now, going way 1401 01:25:38,520 --> 01:25:41,479 Speaker 1: down cases is meaningless. A lot of countries didn't test 1402 01:25:41,600 --> 01:25:44,120 Speaker 1: as much while they were going through their outbreak and 1403 01:25:44,160 --> 01:25:47,400 Speaker 1: started testing. Really, there's there's a cycle that this goes through. 1404 01:25:47,400 --> 01:25:50,800 Speaker 1: All the data shows you this this thing jumps. Now, 1405 01:25:50,840 --> 01:25:53,320 Speaker 1: not every jump is the same because of a population 1406 01:25:53,439 --> 01:25:58,280 Speaker 1: susceptibility to it, pre existing immunity to it, population density. 1407 01:25:58,600 --> 01:26:00,880 Speaker 1: But it gets into a commune and there's about an 1408 01:26:00,880 --> 01:26:03,400 Speaker 1: eight week up and then down that it goes through. 1409 01:26:03,920 --> 01:26:05,720 Speaker 1: Or you can believe that New York City is so 1410 01:26:05,800 --> 01:26:08,639 Speaker 1: much smarter and more responsible than all these other places 1411 01:26:08,640 --> 01:26:11,559 Speaker 1: in the country that had their spikes in the summer. 1412 01:26:12,760 --> 01:26:14,759 Speaker 1: But that's a lie, and that would be a stupid 1413 01:26:14,800 --> 01:26:16,800 Speaker 1: thing to think, but people do want to think that. 1414 01:26:18,479 --> 01:26:20,760 Speaker 1: And of course New York's. New York's version of dealing 1415 01:26:20,800 --> 01:26:25,000 Speaker 1: with the virus was heard immunity by accident, with the 1416 01:26:25,160 --> 01:26:29,280 Speaker 1: maximum exposure to the highest risk people up front, and 1417 01:26:29,320 --> 01:26:34,040 Speaker 1: then the most draconian lockdowns possible afterwards. We did everything 1418 01:26:34,080 --> 01:26:37,000 Speaker 1: wrong in New York. Everything we did in New York 1419 01:26:37,040 --> 01:26:38,559 Speaker 1: with this virus. Now that we can actually look at 1420 01:26:38,600 --> 01:26:40,360 Speaker 1: it and look at the data, look at the timelines, 1421 01:26:41,720 --> 01:26:43,679 Speaker 1: it's as though we were trying to do the worst 1422 01:26:43,680 --> 01:26:48,680 Speaker 1: possible job here. Other states, Florida, Texas much better outcomes 1423 01:26:48,680 --> 01:26:52,160 Speaker 1: than we had with this. But the media can't accept 1424 01:26:52,200 --> 01:26:55,080 Speaker 1: that that. They want to just keep saying that Trump 1425 01:26:55,160 --> 01:26:57,519 Speaker 1: is the worst Trump caused the virus. Trump is awful 1426 01:26:58,160 --> 01:27:01,120 Speaker 1: and it's all Trump's fault. And to do that they 1427 01:27:01,160 --> 01:27:03,879 Speaker 1: have to suppress data that's right in front of their faces. 1428 01:27:04,479 --> 01:27:08,640 Speaker 1: I also got to tell you, this guy Fauci is 1429 01:27:10,320 --> 01:27:16,479 Speaker 1: really annoying, doesn't have anything worthwhile to say. Ever, remember 1430 01:27:16,479 --> 01:27:19,599 Speaker 1: when we were all told, oh, wash your hands, that's 1431 01:27:19,640 --> 01:27:23,400 Speaker 1: gonna say it. Do you even hear about hand washing anymore. Really, Oh, 1432 01:27:23,439 --> 01:27:25,720 Speaker 1: because it's an aerosolized virus. But we were told to 1433 01:27:25,720 --> 01:27:27,719 Speaker 1: why if you don't wash your hand. People were washing 1434 01:27:27,760 --> 01:27:31,599 Speaker 1: their hands until they were red and raw to save 1435 01:27:31,680 --> 01:27:33,919 Speaker 1: themselves in the virus. That was the public health guidance, 1436 01:27:35,920 --> 01:27:37,439 Speaker 1: and it was don't wear a mask, and then it 1437 01:27:37,479 --> 01:27:39,120 Speaker 1: was maybe wear a mask and outs. You better wear 1438 01:27:39,120 --> 01:27:40,880 Speaker 1: a mask, and outs wear a mask outside. I mean, 1439 01:27:41,040 --> 01:27:46,400 Speaker 1: all the stuff we've been through the public health policy 1440 01:27:46,479 --> 01:27:50,120 Speaker 1: community has been a catastrophic failure during this whole thing. 1441 01:27:50,560 --> 01:27:54,200 Speaker 1: Nothing to add, not helpful. Oh, we need all the ventilators. 1442 01:27:54,240 --> 01:27:56,760 Speaker 1: Just kidding. No, we don't. Oh we need all the 1443 01:27:56,800 --> 01:28:01,720 Speaker 1: extra hospital capacity, just kidding. No, we don't wear masks. Oh, 1444 01:28:01,800 --> 01:28:03,600 Speaker 1: we said don't wear mask before. Yeah. Now, if you 1445 01:28:03,640 --> 01:28:06,840 Speaker 1: don't loseen to us, you're an idiot. Here's what Fauci says, 1446 01:28:06,880 --> 01:28:11,200 Speaker 1: Play eleven. That response, in my part was in response 1447 01:28:11,280 --> 01:28:13,759 Speaker 1: to a question that someone asked, when can we actually 1448 01:28:13,800 --> 01:28:18,080 Speaker 1: get back to normal as we know it, normal, including 1449 01:28:18,600 --> 01:28:22,760 Speaker 1: with impunity going into a movie theater which is indoors 1450 01:28:22,840 --> 01:28:26,280 Speaker 1: and enclosed. And I said what I've been saying all along, 1451 01:28:26,800 --> 01:28:28,880 Speaker 1: that I believe that we will have a vaccine that 1452 01:28:28,920 --> 01:28:30,880 Speaker 1: will be available by the end of this year at 1453 01:28:30,920 --> 01:28:33,080 Speaker 1: the beginning of next year. But by the time you 1454 01:28:33,160 --> 01:28:37,800 Speaker 1: mobilize the distribution of the vaccinations and you get the 1455 01:28:37,920 --> 01:28:43,800 Speaker 1: majority or more of the population vaccinated and protected, that's 1456 01:28:43,920 --> 01:28:46,479 Speaker 1: likely not going to happen till the mid or end 1457 01:28:46,560 --> 01:28:50,040 Speaker 1: of twenty twenty one. So in direct response to that 1458 01:28:50,160 --> 01:28:53,880 Speaker 1: person's question, I said, if you're talking about getting back 1459 01:28:54,240 --> 01:28:57,679 Speaker 1: to a degree of normality which resembles where we were 1460 01:28:58,240 --> 01:29:01,639 Speaker 1: prior to COVID, it's going to be well into twenty 1461 01:29:01,760 --> 01:29:05,280 Speaker 1: twenty one, maybe even towards the end of twenty twenty one. 1462 01:29:06,000 --> 01:29:11,479 Speaker 1: Another year of this, this abject fool doesn't look at 1463 01:29:11,479 --> 01:29:13,720 Speaker 1: anything that's actually happening with the data, doesn't look at 1464 01:29:13,720 --> 01:29:16,920 Speaker 1: the trends. Another year of this. Just now we've gone 1465 01:29:16,920 --> 01:29:21,840 Speaker 1: to lockdown beyond vaccine, not even lockdown two vaccine, which 1466 01:29:21,840 --> 01:29:26,280 Speaker 1: they admitted was crazy. Now it's lockdown beyond vaccine. These 1467 01:29:26,280 --> 01:29:28,559 Speaker 1: people are morons. They should not be listened to anymore. 1468 01:29:28,640 --> 01:29:30,720 Speaker 1: I'm just gonna say it on policy. They don't know 1469 01:29:30,760 --> 01:29:33,600 Speaker 1: what the hell they're talking about. Thanks for listening to 1470 01:29:33,600 --> 01:29:37,880 Speaker 1: The bus Esson Show podcasts. Remember to subscribe on Apple podcasts. 1471 01:29:38,120 --> 01:29:42,799 Speaker 1: The iHeartRadio app or wherever you get your podcasts. Liberty, 1472 01:29:43,080 --> 01:30:02,000 Speaker 1: Truth and Great Hair. Feel those funky beats. It's time 1473 01:30:02,040 --> 01:30:10,559 Speaker 1: for roll call, Roll call time, everybody. Indeed, let's get 1474 01:30:10,560 --> 01:30:13,240 Speaker 1: to a Facebook dot com Slashbuck Sex and Team Buck 1475 01:30:13,280 --> 01:30:15,800 Speaker 1: and iHeartMedia dot com if you want to send us 1476 01:30:16,280 --> 01:30:18,920 Speaker 1: an email and remember, if you're not already, please follow 1477 01:30:18,960 --> 01:30:22,960 Speaker 1: me on Instagram. Follow me for the political hot takes 1478 01:30:23,160 --> 01:30:28,160 Speaker 1: or the Telula photos. So actually, this week, I looks 1479 01:30:28,200 --> 01:30:32,120 Speaker 1: like I might have Telula my parents French bulldog, and Percy, 1480 01:30:32,640 --> 01:30:35,759 Speaker 1: my brother's Pomeranian I got. I'm on double doggy duty 1481 01:30:36,280 --> 01:30:39,439 Speaker 1: this week. Bruce and Mark, get ready for all those photos. 1482 01:30:39,479 --> 01:30:41,160 Speaker 1: It's gonna be fun. It's like I'm running a kennel 1483 01:30:41,200 --> 01:30:43,200 Speaker 1: over here. Yeah. Do you even have enough room in 1484 01:30:43,240 --> 01:30:45,519 Speaker 1: your apartment for two dogs? No? But I mean we'll 1485 01:30:45,520 --> 01:30:47,760 Speaker 1: give you more fun than snuggling with two dogs on 1486 01:30:47,800 --> 01:30:50,040 Speaker 1: the couch while I watched I agree with you. Whenever 1487 01:30:50,040 --> 01:30:52,640 Speaker 1: I get a house, I'm gonna have more than one dog. No, no, right, 1488 01:30:53,120 --> 01:30:55,080 Speaker 1: I'm just saying no. No. It's very snugging here for it. 1489 01:30:55,160 --> 01:30:58,560 Speaker 1: But they're tiny. The Pomeranian is like fits in your palm. 1490 01:30:58,600 --> 01:31:01,599 Speaker 1: I'm it's named for Pomerania, which is in Northern Europe, 1491 01:31:01,640 --> 01:31:05,880 Speaker 1: the province of Pomerny. But I think it's in Germany, right, 1492 01:31:06,280 --> 01:31:08,200 Speaker 1: But is it in Germany or is it? Yeah, I 1493 01:31:08,200 --> 01:31:11,240 Speaker 1: think it's in Germany. But they're very small. They're very 1494 01:31:11,240 --> 01:31:14,559 Speaker 1: feisty little dogs. Though they look like little, tiny baby wolves. 1495 01:31:14,840 --> 01:31:16,840 Speaker 1: That's the toughest thing that I could say about them. Yeah, 1496 01:31:16,840 --> 01:31:19,680 Speaker 1: they're very fluffy looking at something. They're very fluffy looking, yes, 1497 01:31:19,760 --> 01:31:22,120 Speaker 1: but they're very sweet. They're a lot of fun. So 1498 01:31:22,120 --> 01:31:23,760 Speaker 1: I'm gonna have double dog duty this week. And you 1499 01:31:23,760 --> 01:31:25,280 Speaker 1: know what I did over the weekend, Producer Mark It's 1500 01:31:25,320 --> 01:31:28,000 Speaker 1: now Princess got me in gear for it. I went 1501 01:31:28,240 --> 01:31:33,920 Speaker 1: to the gym. Wow. Oh yeah. It was a little 1502 01:31:33,960 --> 01:31:36,800 Speaker 1: bit like if you did a montage of the State 1503 01:31:36,840 --> 01:31:41,840 Speaker 1: Puff marshmallow Man trying to do like a marathon and 1504 01:31:41,920 --> 01:31:44,080 Speaker 1: lift some weights and all this at the same time. 1505 01:31:44,400 --> 01:31:49,000 Speaker 1: It was just like, oh my Bawny hurts. It was 1506 01:31:49,120 --> 01:31:51,800 Speaker 1: not you basically described every time I've gone to the 1507 01:31:51,800 --> 01:31:54,400 Speaker 1: gym in my life. I mean I did, I've I've 1508 01:31:54,439 --> 01:31:58,400 Speaker 1: been gymless for seven months and I just I couldn't. 1509 01:31:58,439 --> 01:31:59,640 Speaker 1: I tried to do the guy that would do the 1510 01:31:59,640 --> 01:32:01,519 Speaker 1: push up, but it felt too much like being in 1511 01:32:01,520 --> 01:32:05,240 Speaker 1: a prison. I just couldn't do it. And I gotta 1512 01:32:05,280 --> 01:32:07,320 Speaker 1: tell you the gym. It was great to be back 1513 01:32:07,360 --> 01:32:09,639 Speaker 1: in the gym. Technically I was supposed to be wearing 1514 01:32:09,640 --> 01:32:12,200 Speaker 1: a face mask. Can either confirm nor deny whether when 1515 01:32:12,439 --> 01:32:14,080 Speaker 1: the gym is empty and I'm in there, I still 1516 01:32:14,080 --> 01:32:16,400 Speaker 1: wear a face mask because it's so stupid. It's an 1517 01:32:16,439 --> 01:32:19,200 Speaker 1: empty room. I don't understand what I'm doing in there anyway. 1518 01:32:19,640 --> 01:32:23,240 Speaker 1: But oh oh, I was walking. I was like, my 1519 01:32:23,600 --> 01:32:28,519 Speaker 1: back hurts, my shoulders hurt. It all hurt. It'll hurt it. 1520 01:32:28,520 --> 01:32:30,880 Speaker 1: It all hurt all of a sudden. It always hurts 1521 01:32:30,880 --> 01:32:32,600 Speaker 1: the first time, but you know, once you get in 1522 01:32:32,600 --> 01:32:36,040 Speaker 1: the rhythm, it'll stop hurting. Oh man, my booty is sore. 1523 01:32:36,760 --> 01:32:40,080 Speaker 1: What did you do? Squats? Yeah? You start? You don't 1524 01:32:40,080 --> 01:32:42,920 Speaker 1: never start with squats. But it was like lightweight though, 1525 01:32:42,960 --> 01:32:45,400 Speaker 1: But still feel it's good. But hopefully give me till 1526 01:32:45,479 --> 01:32:47,120 Speaker 1: Christmas time. I might be able to fit into my 1527 01:32:47,160 --> 01:32:49,080 Speaker 1: old suits, which would be really nice. That would be 1528 01:32:49,080 --> 01:32:50,720 Speaker 1: really helpful if you ever have an event that you 1529 01:32:50,720 --> 01:32:54,400 Speaker 1: need a suit again. Yeah, I think the I think 1530 01:32:54,400 --> 01:32:56,800 Speaker 1: that men's fashion has forever change. Now, I think that 1531 01:32:56,840 --> 01:32:59,880 Speaker 1: people are gonna say suits. I've been saying this, you know, 1532 01:33:00,000 --> 01:33:02,080 Speaker 1: I've been saying a long suits are not comfortable. I 1533 01:33:02,080 --> 01:33:04,760 Speaker 1: don't care if it's tailor made for you. They're just 1534 01:33:04,800 --> 01:33:07,519 Speaker 1: not that comfortable. Nobody wants to wear a dress shirt 1535 01:33:07,760 --> 01:33:09,719 Speaker 1: with a jacket on top of it and a tie 1536 01:33:09,760 --> 01:33:14,240 Speaker 1: around their neck. It's not comfortable. So just putting that out. 1537 01:33:14,280 --> 01:33:17,160 Speaker 1: I agree, it's awful. I've said goodbye to the tie, 1538 01:33:17,200 --> 01:33:19,720 Speaker 1: and I have a great tie collection. It used to 1539 01:33:19,720 --> 01:33:22,240 Speaker 1: collect those things. I spent way too much money on ties. 1540 01:33:22,320 --> 01:33:25,160 Speaker 1: But I've said goodbye to the tie and it's never 1541 01:33:25,200 --> 01:33:28,040 Speaker 1: coming back. And also, uncomfortable dress shows is you know, 1542 01:33:28,120 --> 01:33:30,960 Speaker 1: comfortable feet the success I'm sorry, the secret to a 1543 01:33:31,000 --> 01:33:36,360 Speaker 1: successful life? So nah, it seems like a new self 1544 01:33:36,360 --> 01:33:39,120 Speaker 1: help book coming from but Sexton soon. It might have 1545 01:33:39,160 --> 01:33:43,720 Speaker 1: to happen. It might have to happen. Oh cuts, No, 1546 01:33:43,760 --> 01:33:45,439 Speaker 1: that's the one we want. We want roll Call? Where 1547 01:33:45,439 --> 01:33:47,960 Speaker 1: did that go? I forgot there? We go? Here we 1548 01:33:48,000 --> 01:33:51,240 Speaker 1: go roll Call. Thank you everybody as always for writing 1549 01:33:51,240 --> 01:33:53,680 Speaker 1: in with roll Call. We do appreciate it. It's one 1550 01:33:53,720 --> 01:33:58,639 Speaker 1: of my favorite parts of the show. Okay, Jay wait. Also, oh, 1551 01:33:58,680 --> 01:34:01,080 Speaker 1: wait before I get a roll call. I got distracted again. 1552 01:34:01,560 --> 01:34:05,519 Speaker 1: I watched binge watch with the Snow Princess Cobra Kai 1553 01:34:05,800 --> 01:34:10,640 Speaker 1: over the weekend. It's awesome and I didn't think it 1554 01:34:10,640 --> 01:34:13,080 Speaker 1: would be good, and it's actually really good. Have you 1555 01:34:13,080 --> 01:34:15,720 Speaker 1: seen this? I don't even know what it is. It's 1556 01:34:15,760 --> 01:34:20,000 Speaker 1: on Netflix. It's kind of the not a sequel. It's 1557 01:34:20,080 --> 01:34:23,680 Speaker 1: like a twenty or thirty years later follow up to 1558 01:34:23,760 --> 01:34:28,240 Speaker 1: the Karate Kid series with the original Karate Kid um 1559 01:34:28,479 --> 01:34:32,719 Speaker 1: main actors, and it's like now they're adults, and it's great. 1560 01:34:32,920 --> 01:34:35,839 Speaker 1: It's really good. Actually, I thought it would be cheesy 1561 01:34:35,920 --> 01:34:40,479 Speaker 1: and ridiculous. It turned out pretty well. I might have 1562 01:34:40,520 --> 01:34:44,680 Speaker 1: to watch that you Mark, you would actually like this. 1563 01:34:45,360 --> 01:34:47,479 Speaker 1: You've said that about a lot of things, though. Have 1564 01:34:47,640 --> 01:34:49,400 Speaker 1: what have I told you would like? That's true. I 1565 01:34:49,439 --> 01:34:52,759 Speaker 1: never get around to watching anything that you wow. Wow. 1566 01:34:53,120 --> 01:34:55,040 Speaker 1: I don't get around to watching things that I want 1567 01:34:55,040 --> 01:34:59,360 Speaker 1: to watch on air Nolah. Well, anyway, I would put 1568 01:34:59,439 --> 01:35:02,720 Speaker 1: from my rex for you. I would put Cobra Kai 1569 01:35:02,800 --> 01:35:04,519 Speaker 1: at the top of your list. And I think missus 1570 01:35:04,520 --> 01:35:07,280 Speaker 1: Mark would like it too. All right, Yeah, I'm just saying, 1571 01:35:07,800 --> 01:35:09,880 Speaker 1: you know, and a thirty minute episodes man, and it's 1572 01:35:09,880 --> 01:35:11,880 Speaker 1: on Netflix. It's free. How can you go wrong here? 1573 01:35:12,080 --> 01:35:14,599 Speaker 1: She doesn't like watching anything else though in the show 1574 01:35:14,600 --> 01:35:17,160 Speaker 1: we're currently watching. That's the problems. What are you watching 1575 01:35:17,200 --> 01:35:21,720 Speaker 1: right now? We're rewatching Grey's Anatomy. Oh dude, I know, 1576 01:35:22,320 --> 01:35:26,120 Speaker 1: producer Mark. It's like you're drinking a big bucket of estrogen. 1577 01:35:26,280 --> 01:35:28,680 Speaker 1: But she's only here on weekends, so like, I get 1578 01:35:28,720 --> 01:35:32,400 Speaker 1: to do what I want during the week at least. Yeah, 1579 01:35:32,479 --> 01:35:34,320 Speaker 1: we gotta get you to start playing Call of Duty 1580 01:35:34,400 --> 01:35:36,320 Speaker 1: so that you, me and Jesse Kelly can all play 1581 01:35:36,320 --> 01:35:38,760 Speaker 1: on the same Call of Duty team. I consider it. 1582 01:35:38,960 --> 01:35:41,840 Speaker 1: I have the PlayStation online. Dude, you should get it. 1583 01:35:42,240 --> 01:35:43,800 Speaker 1: Tell you it's great. All right, all right? A roll call, 1584 01:35:43,880 --> 01:35:48,040 Speaker 1: Roll call? All right, everybody? Jay Buck. A while back, 1585 01:35:48,080 --> 01:35:51,720 Speaker 1: a listener wrote it and suggested suggested Trump do airport 1586 01:35:51,840 --> 01:35:56,400 Speaker 1: hangar rallies. Cheap, convenient, no need to coordinate caravans to 1587 01:35:56,560 --> 01:36:00,280 Speaker 1: and from the airport. Just land, get out, speak, climb aboard, 1588 01:36:01,120 --> 01:36:03,680 Speaker 1: climb back aboard. I guess Trump was listening that day, 1589 01:36:03,720 --> 01:36:07,120 Speaker 1: because now he's doing just that, and it's awesome. I'm 1590 01:36:07,160 --> 01:36:10,160 Speaker 1: glad that Trump actually listens to real experts. I remember 1591 01:36:10,160 --> 01:36:13,479 Speaker 1: for years thinking man. If I was ever president, I'd 1592 01:36:13,479 --> 01:36:16,080 Speaker 1: listen to Rush every day. I didn't know about you 1593 01:36:16,160 --> 01:36:18,000 Speaker 1: at that time, but now I'd easily add you to 1594 01:36:18,000 --> 01:36:21,200 Speaker 1: the list. Finally, we have an everyman in the White House. Yeah, 1595 01:36:21,280 --> 01:36:23,960 Speaker 1: he's a billionaire, but he's like a down to earth 1596 01:36:24,000 --> 01:36:26,599 Speaker 1: guy who just happened to become a success but didn't 1597 01:36:26,680 --> 01:36:28,479 Speaker 1: let the glory get to his head. Keep up the work. 1598 01:36:28,560 --> 01:36:31,320 Speaker 1: Shield's high. Well, Jay, thank you so much, and I 1599 01:36:31,840 --> 01:36:33,840 Speaker 1: agree that we got a down to earth guy with 1600 01:36:33,960 --> 01:36:37,479 Speaker 1: this president who really has He does have I guess 1601 01:36:37,520 --> 01:36:40,519 Speaker 1: what you'd call the common touch. He does have an 1602 01:36:40,520 --> 01:36:43,639 Speaker 1: ability to just to relate to people. It's one thing 1603 01:36:44,000 --> 01:36:47,960 Speaker 1: that Democrat politicians like Hillary Clinton, for example, do not have, 1604 01:36:49,000 --> 01:36:53,000 Speaker 1: do not have at all. So yeah, I agree. Chris writes, 1605 01:36:53,080 --> 01:36:56,280 Speaker 1: Hey there, bucking Mark. I've been a long time listener 1606 01:36:56,320 --> 01:37:00,320 Speaker 1: at California Union iron Worker Local four three three easily 1607 01:37:00,400 --> 01:37:03,160 Speaker 1: moved to Idaho, which so far, in my opinion, is 1608 01:37:03,160 --> 01:37:05,920 Speaker 1: the best thing I've ever done, aside from marrying my 1609 01:37:05,960 --> 01:37:09,799 Speaker 1: wonderful wife and having my two beautiful daughters. I passed 1610 01:37:09,800 --> 01:37:11,840 Speaker 1: the buck as much as I possibly can, and have 1611 01:37:11,960 --> 01:37:14,240 Speaker 1: even had the pleasure of hearing you read role call 1612 01:37:14,320 --> 01:37:16,840 Speaker 1: from people I've passed the Buck too. Well, that's awesome, Chris, 1613 01:37:16,840 --> 01:37:19,840 Speaker 1: thank you so much. We really appreciate that. I've listened 1614 01:37:19,840 --> 01:37:22,439 Speaker 1: to a lot of different conservative based podcasts, and I 1615 01:37:22,479 --> 01:37:24,439 Speaker 1: have to say the Buck Sexton Show is by far 1616 01:37:24,520 --> 01:37:28,360 Speaker 1: the greatest producer. Mark. Can we can we like adopt 1617 01:37:28,439 --> 01:37:30,240 Speaker 1: Chris or something and we need to use this for 1618 01:37:30,280 --> 01:37:33,080 Speaker 1: promos or something. Can we like make him a you know, 1619 01:37:33,920 --> 01:37:37,559 Speaker 1: honorary like Freedom Hut. You know, I don't know, everyone 1620 01:37:37,600 --> 01:37:39,120 Speaker 1: listens to the Freedom We gotta think of like some 1621 01:37:39,200 --> 01:37:41,519 Speaker 1: cool thing we could call every one of our listeners 1622 01:37:41,520 --> 01:37:43,559 Speaker 1: as an honorary member of the Freedom Hut. Buck. No, 1623 01:37:43,600 --> 01:37:45,040 Speaker 1: they're all in the Freedom Hup. But we gotta like 1624 01:37:45,040 --> 01:37:49,320 Speaker 1: the Freedom Hunt, you know, grand you know, maybe no 1625 01:37:49,479 --> 01:37:55,559 Speaker 1: not fan, something like, you know, like they're cool. I 1626 01:37:55,600 --> 01:37:59,000 Speaker 1: don't know, something something awesome. I don't know, Seal Team 1627 01:37:59,080 --> 01:38:02,599 Speaker 1: Freedom Hut something like that, something that's like yeah, yeah, 1628 01:38:02,640 --> 01:38:04,360 Speaker 1: all right, anyway, we'll do that. We'll do the branding 1629 01:38:04,360 --> 01:38:06,840 Speaker 1: another day. I just want to comment on Mark's assessment 1630 01:38:06,880 --> 01:38:10,120 Speaker 1: of the Kansas City Houston Thursday night opener, and I 1631 01:38:11,080 --> 01:38:13,640 Speaker 1: agree that the crowd booing their moment of solidarity was 1632 01:38:13,680 --> 01:38:16,320 Speaker 1: in poor taste. But I do disagree in his stance 1633 01:38:16,360 --> 01:38:19,360 Speaker 1: about Houston staying in the locker room during the national anthem. 1634 01:38:19,400 --> 01:38:21,760 Speaker 1: I truly believe that our nation's flag, as well as 1635 01:38:21,760 --> 01:38:23,960 Speaker 1: the national anthem, should be something to be respected by 1636 01:38:24,000 --> 01:38:26,960 Speaker 1: every proud American across the country. And to see an 1637 01:38:26,960 --> 01:38:29,960 Speaker 1: individual such as J. J. Watt, whom I've always had 1638 01:38:30,000 --> 01:38:32,160 Speaker 1: great respect for and all of his charities in previous 1639 01:38:32,160 --> 01:38:35,320 Speaker 1: patriotism was just very saddening. I did lose a lot 1640 01:38:35,320 --> 01:38:37,320 Speaker 1: of respect for him. Anyways, I love and respect the 1641 01:38:37,360 --> 01:38:39,840 Speaker 1: work you do, so please continue, and I'll obviously hold 1642 01:38:39,840 --> 01:38:43,080 Speaker 1: my shield high. Well, Chris, that was a great role 1643 01:38:43,080 --> 01:38:46,040 Speaker 1: call man. Thank you so much for writing in. And Look, 1644 01:38:46,200 --> 01:38:48,320 Speaker 1: I don't want to sit here and spend my time 1645 01:38:48,479 --> 01:38:51,760 Speaker 1: trashing professional athletes. I think that what they've what they've 1646 01:38:51,760 --> 01:38:54,519 Speaker 1: been able to do is obviously remarkable. They're very well 1647 01:38:54,520 --> 01:39:00,760 Speaker 1: compensated for it. They lead incredibly you know, rarefied and 1648 01:39:01,000 --> 01:39:04,040 Speaker 1: special lives, and and they've earned it. I mean, they 1649 01:39:04,040 --> 01:39:06,519 Speaker 1: worked very hard. Look, I just like to point out though, 1650 01:39:06,520 --> 01:39:08,559 Speaker 1: that a lot of these guys, you know, the difference, 1651 01:39:08,640 --> 01:39:13,920 Speaker 1: the difference between most Division three college athletes and most 1652 01:39:13,960 --> 01:39:17,320 Speaker 1: professional athletes. People want off and say this, but just 1653 01:39:17,400 --> 01:39:20,120 Speaker 1: a lot of it's just god given talent. I know 1654 01:39:20,200 --> 01:39:22,439 Speaker 1: plenty of people that were or even even a D 1655 01:39:22,520 --> 01:39:25,160 Speaker 1: one athlete in a pro It's not they're not working 1656 01:39:25,160 --> 01:39:27,439 Speaker 1: really hard in the gym. It's just some people have 1657 01:39:27,560 --> 01:39:30,240 Speaker 1: more God given gifts than others in the in these sports, 1658 01:39:30,240 --> 01:39:33,920 Speaker 1: in these areas. You know, Lebron James was, I mean, 1659 01:39:33,920 --> 01:39:37,799 Speaker 1: how it was even winning a Pro Mark seventeen eighteen eighteen, 1660 01:39:38,400 --> 01:39:42,080 Speaker 1: Lebron James was on the cover of Sports Illustrated. I 1661 01:39:42,080 --> 01:39:44,120 Speaker 1: think he was fifteen or sixteen years old. Yeah, he 1662 01:39:44,160 --> 01:39:47,760 Speaker 1: was in high school. Yeah, so it no not taking 1663 01:39:47,760 --> 01:39:49,360 Speaker 1: I'm not taking anything away from the man in terms 1664 01:39:49,400 --> 01:39:52,560 Speaker 1: of his ability. Obviously, he's probably the best living basketball 1665 01:39:52,600 --> 01:39:56,400 Speaker 1: player and probably top five, maybe top three all time. 1666 01:39:56,439 --> 01:39:58,479 Speaker 1: I still think M. Mj is the greatest of all time. 1667 01:39:58,560 --> 01:40:02,160 Speaker 1: But he he was gifted. It's a gift from God. 1668 01:40:02,200 --> 01:40:04,519 Speaker 1: I mean, it's amazing what this guy had, this ability 1669 01:40:04,560 --> 01:40:06,160 Speaker 1: to play the sport at that level at such a 1670 01:40:06,200 --> 01:40:08,920 Speaker 1: young age. And I just think that there's a lack 1671 01:40:09,280 --> 01:40:13,680 Speaker 1: of gratitude and a lack of you know where they 1672 01:40:13,720 --> 01:40:17,360 Speaker 1: always talk so much on the left about it being inclusive. 1673 01:40:17,880 --> 01:40:22,080 Speaker 1: Why aren't these NFL players. It feels like they're extending 1674 01:40:22,200 --> 01:40:24,960 Speaker 1: a middle finger to the part of the country that 1675 01:40:25,080 --> 01:40:28,040 Speaker 1: doesn't see BLM the same way they do. Instead of saying, hey, guys, 1676 01:40:28,439 --> 01:40:31,200 Speaker 1: we we want to bring everybody in. We're all in 1677 01:40:31,240 --> 01:40:34,720 Speaker 1: this together, we all want justice, it feels divisive, it 1678 01:40:34,760 --> 01:40:38,040 Speaker 1: feels oppositional. So I just wish, I wish that wasn't 1679 01:40:38,080 --> 01:40:40,639 Speaker 1: the case, because I mean, I think the first professional 1680 01:40:40,680 --> 01:40:45,360 Speaker 1: athlete who has real standing in his sport who stands 1681 01:40:45,400 --> 01:40:47,839 Speaker 1: up and says, you know, we really need to focus 1682 01:40:47,880 --> 01:40:53,400 Speaker 1: on unity and safe communities and intact families and promoting 1683 01:40:53,439 --> 01:40:56,200 Speaker 1: you know, hard work and good citizenship, and you know 1684 01:40:56,720 --> 01:41:00,000 Speaker 1: that there is such an such an outpouring of support 1685 01:41:00,240 --> 01:41:02,559 Speaker 1: for this doesn't even have you know, some people say, oh, 1686 01:41:02,600 --> 01:41:05,799 Speaker 1: what about who was the guy who did this special 1687 01:41:05,840 --> 01:41:08,439 Speaker 1: the kneeling the special Not not the kneeling, um the 1688 01:41:08,560 --> 01:41:12,400 Speaker 1: special pose. I mean Tim Tebow, right, oh yeah, tebowing. Yeah, 1689 01:41:12,439 --> 01:41:14,080 Speaker 1: but he tebowing, That's what I was saying, not not 1690 01:41:14,200 --> 01:41:16,240 Speaker 1: kneeling Tebow. Well, I guess a Tebow is kind of 1691 01:41:16,240 --> 01:41:19,800 Speaker 1: a kneel. But you forget aneal Um. You know, he's 1692 01:41:19,840 --> 01:41:22,680 Speaker 1: a he seemed like a really good, wholesome guy. But 1693 01:41:22,720 --> 01:41:25,120 Speaker 1: because he was viewed as very Christian, therefore he was 1694 01:41:25,240 --> 01:41:27,960 Speaker 1: very right wing, and there was this whole backlash. I 1695 01:41:28,000 --> 01:41:30,920 Speaker 1: just think he sucked. That's why I hated him. Didn't 1696 01:41:30,920 --> 01:41:32,960 Speaker 1: he win some big games? Oh? He won some. He 1697 01:41:33,000 --> 01:41:35,240 Speaker 1: was a college quarterback, he had no I have the 1698 01:41:35,280 --> 01:41:37,360 Speaker 1: same arm as Tim Tebow. Then he tried to play 1699 01:41:37,400 --> 01:41:41,680 Speaker 1: baseball in some sort of farce ridiculous. Wow, I have 1700 01:41:41,960 --> 01:41:43,640 Speaker 1: I have no problem with Tim Tebow the person. I 1701 01:41:43,680 --> 01:41:46,240 Speaker 1: think he's a very good, charitable person, good human. I 1702 01:41:46,280 --> 01:41:48,720 Speaker 1: just think he's a terrible athlete. But didn't he win 1703 01:41:48,760 --> 01:41:51,000 Speaker 1: a whole bunch of NFL games that were Yeah, he 1704 01:41:51,080 --> 01:41:54,200 Speaker 1: had one season where he had a miracle run kind 1705 01:41:54,200 --> 01:41:56,719 Speaker 1: of thing, but he didn't, you know, And then every 1706 01:41:56,720 --> 01:41:59,439 Speaker 1: team he went to after that he was terrible. Mm, 1707 01:42:00,160 --> 01:42:03,080 Speaker 1: he's bad. Sorry. Sorry for the Tim Tebow lovers up 1708 01:42:03,080 --> 01:42:05,120 Speaker 1: saying he's a good person. I think he's not a 1709 01:42:05,120 --> 01:42:07,880 Speaker 1: good football player and definitely a terrible baseball player. Correct 1710 01:42:07,920 --> 01:42:10,960 Speaker 1: all your hate messages to producer Mark. We got plenty 1711 01:42:10,960 --> 01:42:16,519 Speaker 1: of those this weekend. Come on, DJ Buck. I was 1712 01:42:16,560 --> 01:42:19,080 Speaker 1: thinking of some good ways for the government to incentivize 1713 01:42:19,080 --> 01:42:22,200 Speaker 1: people to get the vaccine when available. I realize it'll 1714 01:42:22,200 --> 01:42:25,439 Speaker 1: be a highly polarized vaccine, and even I an arden 1715 01:42:25,439 --> 01:42:27,840 Speaker 1: Trump supporter, I'm a little leery about wanting to get 1716 01:42:27,880 --> 01:42:31,000 Speaker 1: it right away. At least, however, I realize that eventually 1717 01:42:31,000 --> 01:42:32,840 Speaker 1: it will be an important factor for us to get 1718 01:42:32,840 --> 01:42:35,240 Speaker 1: back to normal and normals also in the best interest 1719 01:42:35,280 --> 01:42:38,240 Speaker 1: of the federal government. But for the federal government to 1720 01:42:38,240 --> 01:42:40,800 Speaker 1: require Americans to be vaccinated I think might be a 1721 01:42:40,800 --> 01:42:45,960 Speaker 1: step too far, especially in our current political climate, regardless 1722 01:42:45,960 --> 01:42:49,639 Speaker 1: of who wins the election. In compromise, maybe the federal 1723 01:42:49,640 --> 01:42:51,720 Speaker 1: government could offer two to five year tax breaks for 1724 01:42:51,760 --> 01:42:55,479 Speaker 1: families willing to get the vaccine when it becomes widely available. Really, 1725 01:42:55,520 --> 01:42:57,839 Speaker 1: I'm just trying to think of ways that would convince 1726 01:42:57,960 --> 01:43:00,840 Speaker 1: me that the vaccine is worth It would be one way, 1727 01:43:00,920 --> 01:43:06,479 Speaker 1: for sure, thoughts um tax breaks for families willing to 1728 01:43:06,520 --> 01:43:10,280 Speaker 1: get the vaccine. Huh, Well, look, I t I appreciate 1729 01:43:10,320 --> 01:43:12,400 Speaker 1: where you're coming from on this one. I just think 1730 01:43:13,360 --> 01:43:16,880 Speaker 1: we gotta see what the what the data we gotta 1731 01:43:16,880 --> 01:43:19,400 Speaker 1: Fauchi this one. We gotta see what the data is. No, 1732 01:43:19,479 --> 01:43:22,320 Speaker 1: but really, we gotta see if they think the vaccine 1733 01:43:22,400 --> 01:43:26,200 Speaker 1: is highly effective and highly safe team. I'll just tell 1734 01:43:26,240 --> 01:43:29,000 Speaker 1: you this. I'll probably get it just because I want 1735 01:43:29,000 --> 01:43:31,679 Speaker 1: to be able to be around my of my parents 1736 01:43:31,720 --> 01:43:35,880 Speaker 1: without and and other you know, senior senior aged people 1737 01:43:35,960 --> 01:43:38,920 Speaker 1: without putting them at any undue risk of contracting. If 1738 01:43:38,920 --> 01:43:40,680 Speaker 1: it were just me, I mean I got I don't know. 1739 01:43:40,720 --> 01:43:42,360 Speaker 1: I would not get vaccine at all. I don't not 1740 01:43:42,400 --> 01:43:44,640 Speaker 1: worried about this thing. I'll see when it comes out. 1741 01:43:44,680 --> 01:43:46,679 Speaker 1: I'll tell you. I'll tell you. I always tell you, guys, 1742 01:43:46,680 --> 01:43:48,400 Speaker 1: the truth. I'll tell you if I find up saying, Okay, 1743 01:43:48,400 --> 01:43:49,840 Speaker 1: I'm gonna get this vaccine, but I want to read 1744 01:43:49,880 --> 01:43:51,559 Speaker 1: about it, see what it is, see what the studies say. 1745 01:43:54,120 --> 01:44:02,000 Speaker 1: You're in. This is the Buck Sexton Show podcast more 1746 01:44:02,120 --> 01:44:05,760 Speaker 1: roll call Todd Buck. I nearly spit out my drink 1747 01:44:05,760 --> 01:44:08,639 Speaker 1: when I heard the SoundBite you played of cocaine Mitch 1748 01:44:08,840 --> 01:44:13,320 Speaker 1: throwing down the gauntlet. He is definitely the man. Honestly, 1749 01:44:13,479 --> 01:44:15,720 Speaker 1: is there another Republican who can talk smack the way 1750 01:44:15,760 --> 01:44:17,800 Speaker 1: he does. He just let it all hang out without 1751 01:44:17,840 --> 01:44:20,679 Speaker 1: fear of repudiation or condemnation. When he declared a quote 1752 01:44:20,920 --> 01:44:23,080 Speaker 1: at this point, it is just silly season on the 1753 01:44:23,080 --> 01:44:26,479 Speaker 1: Democrat side. I've replayed that line about half a dozen 1754 01:44:26,520 --> 01:44:28,400 Speaker 1: times now. I don't mean to laugh, honestly, but I 1755 01:44:28,400 --> 01:44:31,599 Speaker 1: can't help myself. I respect mister McConnell. Lacy says something 1756 01:44:31,680 --> 01:44:34,679 Speaker 1: shill time, my friend, well Todd. We gotta we gotta 1757 01:44:34,720 --> 01:44:36,879 Speaker 1: somebody who's ready to go to bat for Mitch McConnell 1758 01:44:36,920 --> 01:44:41,519 Speaker 1: in this audience. Look cocaine. Mitch. He's establishment, but sometimes 1759 01:44:41,720 --> 01:44:45,280 Speaker 1: he is a mean, lean judge confirmation machine. And no 1760 01:44:45,320 --> 01:44:47,680 Speaker 1: matter what you think of Mitch on trade, on immigration, 1761 01:44:48,200 --> 01:44:52,639 Speaker 1: on judges, this guy is getting it done and that matters. 1762 01:44:52,680 --> 01:44:55,439 Speaker 1: It's important, and he's he makes no apologies for it 1763 01:44:55,439 --> 01:44:57,320 Speaker 1: to the Democrats who are always trying to slow the 1764 01:44:57,320 --> 01:45:01,760 Speaker 1: whole thing down. Adam, Hey, Mark, regarding your commentary about 1765 01:45:01,800 --> 01:45:05,280 Speaker 1: how the NYPD should not be enforcing mask orders, I 1766 01:45:05,320 --> 01:45:07,200 Speaker 1: can tell you there are many of my fellow officers 1767 01:45:07,200 --> 01:45:09,720 Speaker 1: here in California on the same page. We've had a 1768 01:45:09,720 --> 01:45:11,880 Speaker 1: few co workers get the China virus and agree that 1769 01:45:11,880 --> 01:45:14,600 Speaker 1: this has been blown way out of proportion. All we 1770 01:45:14,680 --> 01:45:16,280 Speaker 1: want is to people to take a chill pill and 1771 01:45:16,360 --> 01:45:18,760 Speaker 1: let people live their lives and take risk management into 1772 01:45:18,760 --> 01:45:22,479 Speaker 1: their own hands. God bless Adam. Absolutely, I've been regularly 1773 01:45:22,479 --> 01:45:24,360 Speaker 1: tuning in or listening to podcasts on my way home 1774 01:45:24,400 --> 01:45:26,799 Speaker 1: after shifts. Since you took over the America Now slot 1775 01:45:26,840 --> 01:45:29,519 Speaker 1: here in Monterey for the last few years, shields hie 1776 01:45:29,560 --> 01:45:33,400 Speaker 1: and stay safe from the left, I mean West Coast well, Adam, 1777 01:45:33,520 --> 01:45:35,960 Speaker 1: thanks so much, man. Yeah. No, Now there is no 1778 01:45:36,040 --> 01:45:39,120 Speaker 1: America Now that is long buried and gone. It is 1779 01:45:39,160 --> 01:45:41,760 Speaker 1: the Buck Sexton Show. So that's what happened when the 1780 01:45:41,800 --> 01:45:44,559 Speaker 1: Buckster took over. And I'm so glad you've been here 1781 01:45:44,600 --> 01:45:46,519 Speaker 1: for that, and thank you for listening. And great to 1782 01:45:46,520 --> 01:45:52,360 Speaker 1: have members of our highly valued, respected, appreciated law enforcement 1783 01:45:52,400 --> 01:45:56,240 Speaker 1: community across the country listening into this show. All right, 1784 01:45:56,280 --> 01:46:00,080 Speaker 1: we are we are on team law enforcement here as 1785 01:46:00,160 --> 01:46:04,880 Speaker 1: much as anybody could ever be. Barbara, Hey, love you, Buck, 1786 01:46:04,920 --> 01:46:07,519 Speaker 1: but don't disparage Schenectady. Some of us live here would 1787 01:46:07,560 --> 01:46:10,320 Speaker 1: never vote for Biden. Did I did I make fun 1788 01:46:10,360 --> 01:46:14,679 Speaker 1: of Schenectady? Apparently? Oh? I think I said that Biden 1789 01:46:15,000 --> 01:46:17,280 Speaker 1: was like being in Delaware, was like being the mayor 1790 01:46:17,320 --> 01:46:20,439 Speaker 1: of Schenectady. I didn't. I didn't disparage Schenectady. I'm just 1791 01:46:20,479 --> 01:46:23,640 Speaker 1: I was just picking a random, relatively small city. I 1792 01:46:23,640 --> 01:46:25,880 Speaker 1: think that's what happened. I don't even know enough about 1793 01:46:25,920 --> 01:46:27,800 Speaker 1: that Schenectady to make fun of it. And I love 1794 01:46:27,960 --> 01:46:31,639 Speaker 1: Team Buck Schenectady so well, now you've made Team Bucks 1795 01:46:31,640 --> 01:46:35,200 Speaker 1: Senectedy very angry. Well, now I apologize and extended a 1796 01:46:35,240 --> 01:46:38,679 Speaker 1: hand in continued Freedom Hunt friendship because I love them. 1797 01:46:38,760 --> 01:46:42,240 Speaker 1: I think this lady is now Team producer Mark fair Enough. 1798 01:46:42,360 --> 01:46:45,280 Speaker 1: Everybody passed the Buck. Make sure someone new listens to 1799 01:46:45,280 --> 01:46:48,120 Speaker 1: the show This week. It's on Spotify, the iHeart App, 1800 01:46:48,160 --> 01:46:51,920 Speaker 1: and Apple Podcast until tomorrow. Shi'll Hide