1 00:00:03,279 --> 00:00:16,640 Speaker 1: You are entering the Freedom huch. BLM calls looting reparations, 2 00:00:16,880 --> 00:00:21,000 Speaker 1: Russia claims vaccine victory, Cuomo nursing home depth toll even 3 00:00:21,200 --> 00:00:25,000 Speaker 1: higher than thought, and Trump says Democrats are the real 4 00:00:25,079 --> 00:00:30,320 Speaker 1: election meddlers. Buck Sexton coding the news and disseminating information 5 00:00:30,720 --> 00:00:36,680 Speaker 1: with actionable intelligence. Make no mistake Americans great, You're a 6 00:00:36,760 --> 00:00:41,440 Speaker 1: great American again. This is the buck Sexton Show. Homeless 7 00:00:41,479 --> 00:00:45,280 Speaker 1: CIA analysts. I can speak to three hours without a 8 00:00:45,320 --> 00:00:50,559 Speaker 1: phone call. Try doing that sometimes. No, Welcome everybody to 9 00:00:50,640 --> 00:00:53,200 Speaker 1: the buck Sexton Show, the Freedom Hut, to one place 10 00:00:53,280 --> 00:00:55,880 Speaker 1: where we can all speak the truth, where it all 11 00:00:55,920 --> 00:00:58,560 Speaker 1: makes sense, where we get to hang out and the 12 00:00:58,600 --> 00:01:00,640 Speaker 1: world feels just a little bit. Or thank you so 13 00:01:00,720 --> 00:01:03,720 Speaker 1: much for being here. Make sure that you send us 14 00:01:03,720 --> 00:01:07,119 Speaker 1: your thoughts throughout the week. Team Bucket, iHeartMedia dot com 15 00:01:07,160 --> 00:01:09,800 Speaker 1: if you want to email, Facebook dot com, Slash buck 16 00:01:09,840 --> 00:01:12,039 Speaker 1: Sexton if you want to send us that way, or 17 00:01:12,080 --> 00:01:14,679 Speaker 1: on Instagram, just send a message to Buck Sexton. Producer 18 00:01:14,760 --> 00:01:17,240 Speaker 1: Mark Love's getting all the messages. Let's get right to it. 19 00:01:17,720 --> 00:01:22,760 Speaker 1: There was a series of looting over the weekend, and 20 00:01:22,880 --> 00:01:26,720 Speaker 1: here's a big problem at the LIB that the left had. 21 00:01:27,520 --> 00:01:30,640 Speaker 1: Usually they will say that the looting has nothing to 22 00:01:30,680 --> 00:01:38,640 Speaker 1: do with the real and respectable and important movement of BLM. 23 00:01:38,640 --> 00:01:40,319 Speaker 1: All right, this is what we're often told. This is 24 00:01:40,319 --> 00:01:44,679 Speaker 1: the storyline that is shared with us. There's a problem 25 00:01:44,680 --> 00:01:48,320 Speaker 1: with that, because often what happens is that there has 26 00:01:48,360 --> 00:01:51,760 Speaker 1: been this is for the last few months at BLM protest, 27 00:01:52,760 --> 00:01:56,720 Speaker 1: and then that protest, at least a portion of it 28 00:01:56,800 --> 00:02:00,120 Speaker 1: is either cover for the looting, or some group of 29 00:02:00,160 --> 00:02:04,080 Speaker 1: individuals within that protest engages in looting. But the one 30 00:02:04,160 --> 00:02:07,200 Speaker 1: goes with the other starts to feel a little bit 31 00:02:07,280 --> 00:02:10,720 Speaker 1: like one two punch, a symbiotic relationship of sorts. You 32 00:02:10,720 --> 00:02:12,680 Speaker 1: get the protest, then you get the looting. Now, it 33 00:02:12,720 --> 00:02:16,040 Speaker 1: doesn't happen always, obviously, but it happens with some frequency. 34 00:02:17,760 --> 00:02:20,520 Speaker 1: And over the weekend we saw this again in Chicago. 35 00:02:21,840 --> 00:02:27,200 Speaker 1: You had a protest over the illegal police shooting the 36 00:02:27,320 --> 00:02:34,320 Speaker 1: murder of a teenage black male, and turned out it 37 00:02:34,400 --> 00:02:36,640 Speaker 1: wasn't what they said it was. The guy was twenty, 38 00:02:37,080 --> 00:02:39,400 Speaker 1: he shot at cops, he was shot, he was not killed. 39 00:02:39,440 --> 00:02:42,160 Speaker 1: He's taken to the hospital. And it is yet to 40 00:02:42,200 --> 00:02:46,880 Speaker 1: be the case that democrats want police officers or demand 41 00:02:46,880 --> 00:02:51,639 Speaker 1: that police officers get fired at and not return fire. Right, 42 00:02:51,680 --> 00:02:55,560 Speaker 1: Democrats have not yet taken that position with taser's. Yes, 43 00:02:56,360 --> 00:03:01,200 Speaker 1: with actual firearms, maybe they think that way, but they 44 00:03:01,240 --> 00:03:03,640 Speaker 1: haven't yet been willing to come out and say, no, cops, 45 00:03:03,639 --> 00:03:05,639 Speaker 1: you should get shot at him and you can't actually 46 00:03:05,639 --> 00:03:11,040 Speaker 1: return fire. So it was a hoax. It was a hoax. 47 00:03:12,000 --> 00:03:15,960 Speaker 1: Murder by cop didn't actually happen, and yet it led 48 00:03:16,000 --> 00:03:18,200 Speaker 1: to a protest. No one of the protest it seemed, 49 00:03:18,280 --> 00:03:20,959 Speaker 1: cared very much that what they were protesting didn't even happen, 50 00:03:21,440 --> 00:03:24,680 Speaker 1: and then there was looting. So yet BLM Black Lives 51 00:03:24,720 --> 00:03:28,160 Speaker 1: Matter protests for a thing that doesn't happen, and then 52 00:03:28,240 --> 00:03:31,120 Speaker 1: that leads to looting. What is the lesson that we're 53 00:03:31,120 --> 00:03:34,639 Speaker 1: supposed to take from all of this? Oh, it reminds 54 00:03:34,680 --> 00:03:36,640 Speaker 1: me of the lesson we take from Joe Biden over 55 00:03:36,640 --> 00:03:41,400 Speaker 1: the weekend, pandering to the African American community in this 56 00:03:41,560 --> 00:03:46,760 Speaker 1: country by saying that Michael Brown's life was taken from 57 00:03:46,840 --> 00:03:49,480 Speaker 1: him and we need to remember about systemic racism. Michael 58 00:03:49,480 --> 00:03:51,480 Speaker 1: Brown attacked a police officer and was killed by that 59 00:03:51,520 --> 00:03:54,960 Speaker 1: police officer in the defense of himself. Every human being, 60 00:03:55,000 --> 00:03:57,840 Speaker 1: I don't care. I don't care what people say about 61 00:03:57,920 --> 00:04:02,280 Speaker 1: historic wrongs, or historical pressure or historic anything. Every person 62 00:04:02,320 --> 00:04:07,320 Speaker 1: alive today, of every race, creed, color, has the right 63 00:04:07,360 --> 00:04:11,600 Speaker 1: to defend himself or herself against violent assault, every person 64 00:04:11,840 --> 00:04:15,320 Speaker 1: on planet Earth. It is rooted in natural law. Doesn't 65 00:04:15,400 --> 00:04:18,440 Speaker 1: matter what the state says, doesn't matter what the politics are, 66 00:04:19,200 --> 00:04:22,800 Speaker 1: You always have a right to defend yourself. And law 67 00:04:22,880 --> 00:04:27,279 Speaker 1: enforcement obviously also needs that right, as they are supposed 68 00:04:27,279 --> 00:04:29,120 Speaker 1: to be the front line of the use of force 69 00:04:29,240 --> 00:04:32,480 Speaker 1: by the state against those who would break the state's laws. 70 00:04:34,560 --> 00:04:38,599 Speaker 1: What happened the days after the looting in Chicago, which 71 00:04:38,600 --> 00:04:40,600 Speaker 1: which is an embarrassment to the city. It should be 72 00:04:40,640 --> 00:04:43,159 Speaker 1: the city of Chicago, the people that run it, the 73 00:04:43,240 --> 00:04:48,000 Speaker 1: police force, the mayor, They should feel as though they 74 00:04:48,040 --> 00:04:52,920 Speaker 1: failed because they have they have. The police Superintendent for Chicago, 75 00:04:53,000 --> 00:04:55,720 Speaker 1: Dave David Brown, here's what he said play clip ten. 76 00:04:57,600 --> 00:05:04,000 Speaker 1: CPD became aware of old social media post encouraging looting downtown. 77 00:05:04,600 --> 00:05:08,200 Speaker 1: Officers were dispatched to our downtown area once we got 78 00:05:08,200 --> 00:05:12,240 Speaker 1: word of the social media post. Four hundred officers who 79 00:05:12,240 --> 00:05:16,560 Speaker 1: were dispatched to our downtown. As the officers arrived to 80 00:05:16,640 --> 00:05:19,280 Speaker 1: our downtown, the first incident happened at a store near 81 00:05:19,320 --> 00:05:23,039 Speaker 1: the eighty seventh and the Dan Ryan Expressway. Soon car 82 00:05:23,160 --> 00:05:27,120 Speaker 1: caravans were headed into the loop. This was not an 83 00:05:27,200 --> 00:05:32,039 Speaker 1: organized protest. Rather, this was an incident of pure criminality. 84 00:05:32,080 --> 00:05:35,400 Speaker 1: This was an act of violence against our police officers 85 00:05:35,440 --> 00:05:40,800 Speaker 1: and against our city. This was also coordinated, right. The 86 00:05:41,200 --> 00:05:43,919 Speaker 1: looting was a coordinated response. You may have seen the 87 00:05:44,080 --> 00:05:47,360 Speaker 1: vehicle being used to smash into the window of a store. 88 00:05:48,000 --> 00:05:52,440 Speaker 1: This was thought through. They planned, the looters planned to 89 00:05:52,520 --> 00:05:56,359 Speaker 1: do this. I'm sure if law enforcement was willing to 90 00:05:56,360 --> 00:06:00,040 Speaker 1: look into it, they would see that social media in 91 00:06:00,120 --> 00:06:03,960 Speaker 1: different communication apps or a part of it. But this 92 00:06:04,080 --> 00:06:07,560 Speaker 1: was not the frenzy of the moment. This was not 93 00:06:07,720 --> 00:06:13,520 Speaker 1: people overtaken by feelings of rage because of the story 94 00:06:13,600 --> 00:06:18,400 Speaker 1: of another young black man killed, illegally, killed, murdered, shot 95 00:06:18,440 --> 00:06:20,640 Speaker 1: down the street by police. That didn't happen, at least 96 00:06:20,640 --> 00:06:24,120 Speaker 1: not in a way. Look, I don't get sad when 97 00:06:24,160 --> 00:06:27,240 Speaker 1: someone shoots the cops and that person is shot. I 98 00:06:27,279 --> 00:06:29,520 Speaker 1: don't feel any outrage. I don't feel any I have 99 00:06:29,520 --> 00:06:31,160 Speaker 1: no problem with the state. I have no problem law 100 00:06:31,240 --> 00:06:34,279 Speaker 1: enforcement for that. In fact, it's something that we should 101 00:06:34,279 --> 00:06:37,279 Speaker 1: all say is what needs to happen. It is the 102 00:06:37,520 --> 00:06:41,360 Speaker 1: just outcome. If a criminal fires a gun at police 103 00:06:41,360 --> 00:06:44,800 Speaker 1: officers and the police shoot that criminal in response, that 104 00:06:45,000 --> 00:06:49,560 Speaker 1: is justice. Ah, Now we have to start getting to 105 00:06:49,640 --> 00:06:52,120 Speaker 1: the heart of the matter. That is a just outcome. 106 00:06:52,600 --> 00:06:56,800 Speaker 1: It's regrettable, right. We don't want anyone to have to 107 00:06:56,839 --> 00:07:00,640 Speaker 1: be to have to suffer the use force at the 108 00:07:00,640 --> 00:07:02,760 Speaker 1: hands of the state. It would be preferable if we 109 00:07:02,839 --> 00:07:07,040 Speaker 1: never had any such incident, of course, but when someone 110 00:07:07,080 --> 00:07:11,440 Speaker 1: makes that decision, it is in fact the just outcome 111 00:07:11,480 --> 00:07:14,800 Speaker 1: for police to respond with lethal force in that way. 112 00:07:15,200 --> 00:07:18,240 Speaker 1: We need to understand that. Okay, there's no license for 113 00:07:18,280 --> 00:07:21,640 Speaker 1: people because they're upset because they feel like there's systemic 114 00:07:21,720 --> 00:07:24,400 Speaker 1: racism or oppression or whatever else it may be. And 115 00:07:24,760 --> 00:07:27,920 Speaker 1: who gets to hold up that manchel who gets to 116 00:07:28,040 --> 00:07:31,840 Speaker 1: white liberals, for example, on behalf of oppress. African Americans 117 00:07:31,960 --> 00:07:34,560 Speaker 1: get to engage in violence against cops and think that 118 00:07:34,600 --> 00:07:37,880 Speaker 1: they're acting in a way that is justified. Clearly in 119 00:07:37,960 --> 00:07:43,480 Speaker 1: Portland they do think that. So we have to push 120 00:07:43,520 --> 00:07:48,840 Speaker 1: back on this. We have to shove this narrative out 121 00:07:48,840 --> 00:07:51,760 Speaker 1: of the public square. We have to defeat it, and 122 00:07:51,880 --> 00:07:54,440 Speaker 1: we can't dance around it. We can't pretend that it's 123 00:07:54,480 --> 00:07:59,360 Speaker 1: not there. They told people that this was the result 124 00:07:59,440 --> 00:08:01,640 Speaker 1: of a police shooting. It did not happen. This was 125 00:08:01,760 --> 00:08:07,640 Speaker 1: rooted in ignorance and exploitation of the moment, for thievery, 126 00:08:08,320 --> 00:08:16,040 Speaker 1: for stealing. People who were involved in this were stealing. Okay, 127 00:08:16,160 --> 00:08:19,040 Speaker 1: let's be very clear. This is a criminal act. Now. 128 00:08:20,880 --> 00:08:22,760 Speaker 1: They will also tell you that this has nothing to 129 00:08:22,800 --> 00:08:26,360 Speaker 1: do with BLM, that there was a BLM protest and 130 00:08:26,400 --> 00:08:29,440 Speaker 1: then there was coordinated rioting and looting. Right, these are 131 00:08:29,440 --> 00:08:31,480 Speaker 1: really two of the same thing. There are two things 132 00:08:31,520 --> 00:08:36,240 Speaker 1: that go together, coordinated looting and rioting. You had BLM 133 00:08:36,240 --> 00:08:41,440 Speaker 1: with all of this there, and then the police have 134 00:08:41,480 --> 00:08:43,320 Speaker 1: to come out in full force, and it's it's a 135 00:08:43,360 --> 00:08:47,920 Speaker 1: total nightmare for the city of Chicago because other businesses 136 00:08:47,920 --> 00:08:51,760 Speaker 1: will think, do I really want to set up down there? 137 00:08:51,800 --> 00:08:54,520 Speaker 1: There were small businesses, there were independent operations, not that 138 00:08:54,520 --> 00:08:57,040 Speaker 1: we should. There's this attitude as well, oh well they 139 00:08:57,080 --> 00:09:00,680 Speaker 1: have you know, it's it's a CDC, it's a major 140 00:09:00,760 --> 00:09:06,760 Speaker 1: national drug chain, it's a big designer clothing store. Who 141 00:09:06,840 --> 00:09:09,520 Speaker 1: cares because it'll all be okay, they've got enough money. No, 142 00:09:10,080 --> 00:09:12,160 Speaker 1: there are big stores closing all over the place, and 143 00:09:12,200 --> 00:09:15,160 Speaker 1: those stores represent jobs. There are people that feed their 144 00:09:15,200 --> 00:09:18,560 Speaker 1: families because of the paycheck they get from these stores 145 00:09:18,720 --> 00:09:22,440 Speaker 1: that they never reopen again. And these looters are doing 146 00:09:22,440 --> 00:09:24,640 Speaker 1: this to Chicago when this city has already been kicked 147 00:09:24,640 --> 00:09:29,040 Speaker 1: in the stomach by COVID nineteen, the lockdowns, the lunacy 148 00:09:29,080 --> 00:09:31,000 Speaker 1: of the libs that if we just keep pretending like 149 00:09:31,040 --> 00:09:32,880 Speaker 1: we can wait this thing out, everything will get better. 150 00:09:34,160 --> 00:09:38,120 Speaker 1: But while the city is in this fragile state, they're 151 00:09:39,480 --> 00:09:42,200 Speaker 1: seizing that moment, seizing that opportunity. And that's why I 152 00:09:42,200 --> 00:09:45,720 Speaker 1: think it's so important that we really speak honestly about 153 00:09:45,720 --> 00:09:50,800 Speaker 1: the mentality here. Black Lives Matter members in Chicago, according 154 00:09:50,840 --> 00:09:54,080 Speaker 1: to Fox, held a rally. This is after all this 155 00:09:54,160 --> 00:09:59,680 Speaker 1: stuff happened, right after sixty million in property damage, thirteen 156 00:10:00,000 --> 00:10:05,280 Speaker 1: police officers injured, over a hundred arrested. BLM holds a rally. 157 00:10:06,679 --> 00:10:09,320 Speaker 1: Official organizers of BLM now they'll say, oh, there's no 158 00:10:09,360 --> 00:10:12,240 Speaker 1: such thing. No, there are people that are tied into 159 00:10:12,240 --> 00:10:16,320 Speaker 1: the movement. The movement is getting money, lots of it. 160 00:10:16,320 --> 00:10:19,080 Speaker 1: It has corporate America bowing to it. Now. It is 161 00:10:19,120 --> 00:10:21,840 Speaker 1: responsible the same way the Republican Party is responsible for 162 00:10:21,920 --> 00:10:25,720 Speaker 1: whatever some you know, state assemblyman says, and who knows 163 00:10:25,760 --> 00:10:28,360 Speaker 1: what state? And at all? It's true of all, No, no, 164 00:10:28,400 --> 00:10:30,079 Speaker 1: if you're part of if you're part of the group, 165 00:10:30,480 --> 00:10:32,760 Speaker 1: we get to criticize the group for what somebody who's 166 00:10:32,760 --> 00:10:34,400 Speaker 1: a part of it says or does. That's the way 167 00:10:34,440 --> 00:10:38,719 Speaker 1: this works. A BLM organizer, not just a protest or 168 00:10:38,720 --> 00:10:43,000 Speaker 1: a person there, said about the massive theft and destruction 169 00:10:44,080 --> 00:10:49,560 Speaker 1: quote that is reparations. Anything they wanted to take, they 170 00:10:49,600 --> 00:10:56,080 Speaker 1: can take it because these businesses have insurance. Oh you 171 00:10:56,080 --> 00:10:59,040 Speaker 1: mean exactly what I've told you is the mentality that 172 00:10:59,200 --> 00:11:02,480 Speaker 1: some members of the BLM movement are willing to say 173 00:11:02,520 --> 00:11:08,559 Speaker 1: out loud that historical oppression and injustice inequity, not inequality. 174 00:11:08,720 --> 00:11:13,280 Speaker 1: We'll talk about that inequity in society justifies this kind 175 00:11:13,320 --> 00:11:17,760 Speaker 1: of behavior. The organizer went on. Quote, I don't care 176 00:11:17,800 --> 00:11:21,040 Speaker 1: if someone decides to loot a Gucci or a Macy's 177 00:11:21,160 --> 00:11:25,160 Speaker 1: or a Nike store, because that makes sure that person eats, 178 00:11:25,600 --> 00:11:29,920 Speaker 1: said Ariel Atkins. A BLM organizer. That makes sure that 179 00:11:29,960 --> 00:11:35,960 Speaker 1: person has clothes. So are we still going to hear 180 00:11:36,000 --> 00:11:37,840 Speaker 1: Oh no, the media will pretend that this didn't happen. 181 00:11:38,840 --> 00:11:42,360 Speaker 1: They'll try to move on to something else as fast 182 00:11:42,360 --> 00:11:44,880 Speaker 1: as possible, because what they don't want the American people 183 00:11:44,920 --> 00:11:46,880 Speaker 1: to see is that the BLM movement, which I have 184 00:11:46,920 --> 00:11:49,920 Speaker 1: been telling you has made everything worse for everyone, has 185 00:11:50,400 --> 00:11:55,160 Speaker 1: rotten principles at its core. Right, it's not just that 186 00:11:55,480 --> 00:11:59,000 Speaker 1: the slogan black Lives matter, as we know that's intended 187 00:11:59,040 --> 00:12:02,040 Speaker 1: to put people on defense. Every person who is moral, decent, 188 00:12:02,120 --> 00:12:07,480 Speaker 1: ethical agrees that black lives matter. In fact, it's it's 189 00:12:07,920 --> 00:12:11,280 Speaker 1: offensive to think that it has to that anyone has 190 00:12:11,320 --> 00:12:13,240 Speaker 1: to be reminded of this or has to say it 191 00:12:13,280 --> 00:12:16,000 Speaker 1: in order to believe it. Of course we believe it. 192 00:12:16,080 --> 00:12:19,160 Speaker 1: I do, you do. The movement is entirely separate from 193 00:12:19,160 --> 00:12:22,400 Speaker 1: that very basic belief. The movement is a bunch of 194 00:12:22,440 --> 00:12:25,559 Speaker 1: Marxists who want to destroy the nuclear family. The movement 195 00:12:25,760 --> 00:12:32,760 Speaker 1: is concerned with the acquisition and utilization of power under 196 00:12:32,800 --> 00:12:37,560 Speaker 1: a radical Marxist umbrella that uses as the tip of 197 00:12:37,600 --> 00:12:45,120 Speaker 1: its spear racial separation, racial identity politics, and likes to 198 00:12:45,160 --> 00:12:51,160 Speaker 1: pull us apart at the seams. BLM increasingly, if you 199 00:12:51,280 --> 00:12:54,800 Speaker 1: pay attention what the movement does and how its members 200 00:12:54,840 --> 00:12:57,400 Speaker 1: speak about it, BLM increasingly, who wants there to be 201 00:12:58,000 --> 00:13:01,920 Speaker 1: a different set of laws for an application of justice 202 00:13:02,360 --> 00:13:04,720 Speaker 1: depending on what your skin color is. In this country, 203 00:13:05,559 --> 00:13:09,000 Speaker 1: this is already occurring with things like affirmative action, which 204 00:13:09,000 --> 00:13:13,800 Speaker 1: are clearly legal mandates legal changes based upon skin color. 205 00:13:15,400 --> 00:13:19,000 Speaker 1: We know this already happens. This exists with diversity training 206 00:13:19,040 --> 00:13:22,640 Speaker 1: and corporate hiring. But now they want to expand that 207 00:13:22,720 --> 00:13:27,280 Speaker 1: even further. Now it has to be a redistribution of 208 00:13:27,320 --> 00:13:31,400 Speaker 1: the goods of society, a redistribution of the wealth. And remember, 209 00:13:31,640 --> 00:13:35,960 Speaker 1: wealth comes from labor, laborers, time and effort. When people 210 00:13:36,000 --> 00:13:38,920 Speaker 1: are taking property from you, it's like they are seizing 211 00:13:39,280 --> 00:13:42,400 Speaker 1: hours of your life from you. It's like they are 212 00:13:42,440 --> 00:13:47,080 Speaker 1: taking away time from your life. There's a reason why 213 00:13:47,080 --> 00:13:51,800 Speaker 1: it's immoral. You often hear well, property destruction is not violence. Really, 214 00:13:52,080 --> 00:13:55,240 Speaker 1: Any lib who says that in the media should should 215 00:13:55,320 --> 00:13:57,439 Speaker 1: run an experiment. How would they feel if someone came 216 00:13:57,480 --> 00:13:59,440 Speaker 1: by their home while they were inside it and people 217 00:13:59,480 --> 00:14:02,440 Speaker 1: just smat all their windows with baseball bats and destroyed 218 00:14:02,480 --> 00:14:05,160 Speaker 1: everything in their home. Would they feel violated or would 219 00:14:05,200 --> 00:14:11,439 Speaker 1: they say it's just property. It's just property, my friends. 220 00:14:11,480 --> 00:14:13,360 Speaker 1: They are kicking at the load bearing walls of our 221 00:14:13,400 --> 00:14:17,640 Speaker 1: civilization and laughing as they do it. And the cowards 222 00:14:17,720 --> 00:14:21,400 Speaker 1: the abject cowards in our own media go along with 223 00:14:21,440 --> 00:14:24,960 Speaker 1: it at every step of the way. They excuse it, 224 00:14:25,000 --> 00:14:30,000 Speaker 1: they encourage it, they lie to you about it. Looting 225 00:14:30,040 --> 00:14:36,200 Speaker 1: in Chicago, according to BLM, is like a form of reparations. Gee, 226 00:14:36,280 --> 00:14:38,720 Speaker 1: if we're going to go down that pathway, what else 227 00:14:38,840 --> 00:14:43,880 Speaker 1: is acceptable? What other double standards in law in society 228 00:14:43,920 --> 00:14:47,200 Speaker 1: should exist based upon skin color to advantage some at 229 00:14:47,240 --> 00:14:52,560 Speaker 1: the expense of others as a matter of law. Oh, 230 00:14:52,640 --> 00:14:54,680 Speaker 1: BLM doesn't want to answer that one. And you know 231 00:14:54,720 --> 00:14:58,600 Speaker 1: who else doesn't Joe Biden and the Democrats who are 232 00:14:58,680 --> 00:15:02,240 Speaker 1: just now realizing they don't really have control of this 233 00:15:02,320 --> 00:15:05,280 Speaker 1: movement and it has become a liability for them, So 234 00:15:05,320 --> 00:15:08,080 Speaker 1: they're going to have to lie about it, suppress it, 235 00:15:08,120 --> 00:15:11,120 Speaker 1: push it aside, distance themselves. The media is going to 236 00:15:11,160 --> 00:15:14,600 Speaker 1: be working so hard to pretend that the excesses of 237 00:15:14,600 --> 00:15:16,800 Speaker 1: this movement that are very apparent to all of us 238 00:15:17,640 --> 00:15:21,160 Speaker 1: don't bring down Biden's hopes this fall, because the whole 239 00:15:21,200 --> 00:15:24,440 Speaker 1: game here all along has been to pretend the Democrat 240 00:15:24,520 --> 00:15:29,360 Speaker 1: Party isn't the party of BLM and Antifa and defund 241 00:15:29,360 --> 00:15:33,440 Speaker 1: the police and abolish ice, but really we all know 242 00:15:33,600 --> 00:15:36,280 Speaker 1: they are, and They can try to run from it, 243 00:15:36,280 --> 00:15:38,160 Speaker 1: they can try to hide from it, they can try 244 00:15:38,200 --> 00:15:43,760 Speaker 1: to lie about it, but we are onto them. You're 245 00:15:43,840 --> 00:15:46,520 Speaker 1: in the Freedom und This is the Buck Sex and 246 00:15:46,600 --> 00:15:54,000 Speaker 1: Show podcast. We are waking up in shock this morning, 247 00:15:54,840 --> 00:15:59,400 Speaker 1: early morning hours today, dozens of individuals came to our 248 00:15:59,440 --> 00:16:03,800 Speaker 1: Loom Magmile River, North and Gold Close neighborhoods, as well 249 00:16:03,800 --> 00:16:08,320 Speaker 1: as our commercial district around North and Clymorne. These individuals 250 00:16:08,360 --> 00:16:12,920 Speaker 1: engagement it can only be described as brazen and extensive 251 00:16:12,960 --> 00:16:16,520 Speaker 1: criminal looting and destruction. And to be clear, this had 252 00:16:16,640 --> 00:16:24,240 Speaker 1: nothing to do with legitimate, protected First Amendment expression. You know, 253 00:16:24,600 --> 00:16:27,680 Speaker 1: that's supposed to be brave, right, It's supposed to be all. 254 00:16:27,800 --> 00:16:30,720 Speaker 1: Here's the mayor of Chicago saying that this has nothing 255 00:16:30,760 --> 00:16:34,640 Speaker 1: to do with First Amendment. Yeah, we know that. Does 256 00:16:34,680 --> 00:16:38,480 Speaker 1: anyone really think it does? But notice that the way 257 00:16:38,520 --> 00:16:41,840 Speaker 1: that the movement BLM will be criticized is always saying 258 00:16:41,880 --> 00:16:45,400 Speaker 1: the most obvious and whatever they can say, that's not 259 00:16:45,480 --> 00:16:47,200 Speaker 1: really going to go after the core of the movement. 260 00:16:47,200 --> 00:16:51,080 Speaker 1: He hears. The problem with BLM. It is built upon lies. 261 00:16:51,960 --> 00:16:55,240 Speaker 1: It is built upon lies. Okay, it is built upon 262 00:16:55,280 --> 00:16:58,000 Speaker 1: the lie of Michael Brown's martyrdom. It is built upon 263 00:16:58,040 --> 00:17:02,240 Speaker 1: the lie that young black men are killed illegally and 264 00:17:02,280 --> 00:17:07,159 Speaker 1: without consequence by police on a regular basis systematically in 265 00:17:07,160 --> 00:17:10,439 Speaker 1: this country, that people don't care when that happens, that 266 00:17:10,480 --> 00:17:15,080 Speaker 1: there's no outcry when that happens. These are lies. So 267 00:17:15,119 --> 00:17:18,600 Speaker 1: it's very hard for anybody to take a movement for 268 00:17:18,880 --> 00:17:25,240 Speaker 1: justice seriously when the movement is initially started by the 269 00:17:25,400 --> 00:17:31,000 Speaker 1: injustice inherent in telling the public untruths to get them 270 00:17:31,000 --> 00:17:34,679 Speaker 1: to their side. No one's going to say that in 271 00:17:34,720 --> 00:17:37,359 Speaker 1: a position of democrat authority. Though, No, we still have 272 00:17:37,440 --> 00:17:40,919 Speaker 1: to do this thing where despite now we're months into it, 273 00:17:40,960 --> 00:17:43,200 Speaker 1: we see what does this movement too? Does this movement 274 00:17:43,200 --> 00:17:47,240 Speaker 1: bring people together? Do they bring people together in peaceful protest? 275 00:17:47,720 --> 00:17:52,920 Speaker 1: And do you see an effort to persuade and effort 276 00:17:52,960 --> 00:17:56,520 Speaker 1: toward toward dignity for all people, for justice for all 277 00:17:56,520 --> 00:18:00,879 Speaker 1: people in this country. No, it's divisive. It's full of 278 00:18:01,119 --> 00:18:06,040 Speaker 1: virulent anti cop hatred. Time and again, it often devolves 279 00:18:06,040 --> 00:18:09,359 Speaker 1: into violence. It often devolves into looting and destruction. Sixty 280 00:18:09,400 --> 00:18:11,919 Speaker 1: million dollars of property destruction and one night in Chicago, 281 00:18:12,160 --> 00:18:15,960 Speaker 1: sixty million folks. Why do we have to pretend like 282 00:18:16,040 --> 00:18:19,800 Speaker 1: this movement is a good thing at all. I keep 283 00:18:19,840 --> 00:18:22,840 Speaker 1: saying it. It has made everything worse for everyone. Nothing 284 00:18:22,920 --> 00:18:27,000 Speaker 1: is better because of BLM nothing. It is an expression 285 00:18:27,160 --> 00:18:33,240 Speaker 1: of rage. It is an expression of excuses by Marxists 286 00:18:33,280 --> 00:18:38,320 Speaker 1: who seek to divide and conquer the United States, and 287 00:18:38,440 --> 00:18:43,480 Speaker 1: to do so they rely upon reflecting whatever anger that 288 00:18:43,560 --> 00:18:47,040 Speaker 1: exists in the community on specific people, on specific targets, 289 00:18:47,160 --> 00:18:51,520 Speaker 1: without without ever actually addressing why do the problems in 290 00:18:51,600 --> 00:18:55,360 Speaker 1: certain communities exist as they do no effort to It's 291 00:18:55,400 --> 00:18:58,240 Speaker 1: all the cops fault, you see. Thanks for listening to 292 00:18:58,280 --> 00:19:01,600 Speaker 1: the bus Essen Show podcast us. Remember to subscribe on 293 00:19:01,640 --> 00:19:05,000 Speaker 1: Apple podcasts, the iHeart Radio app, or wherever you get 294 00:19:05,040 --> 00:19:09,520 Speaker 1: your podcasts. It almost sounds as though you were saying, 295 00:19:09,960 --> 00:19:13,879 Speaker 1: this is the reason we happened is because the courts 296 00:19:13,920 --> 00:19:16,600 Speaker 1: and the prosecutors were not doing their job, that they 297 00:19:16,600 --> 00:19:19,640 Speaker 1: were going too easy on the looters from the last time. 298 00:19:19,640 --> 00:19:22,919 Speaker 1: They don't take it from me. Just go by what's 299 00:19:23,320 --> 00:19:25,879 Speaker 1: been done. I don't want to do a job for you, 300 00:19:25,920 --> 00:19:27,640 Speaker 1: but just go by what's been done. There was there 301 00:19:27,640 --> 00:19:30,760 Speaker 1: were no consequences for the people arrested. Let's be clear, 302 00:19:30,920 --> 00:19:33,600 Speaker 1: I mean, don't bad us. Okay, this is no, no, 303 00:19:34,240 --> 00:19:37,320 Speaker 1: do not bid us. Don't do not bid us. This 304 00:19:37,400 --> 00:19:41,439 Speaker 1: is a serious situation. People are concerned about their safety. 305 00:19:41,760 --> 00:19:44,840 Speaker 1: Officers are concerned about their safety, So don't bade us. 306 00:19:45,080 --> 00:19:47,840 Speaker 1: What we're saying is, as a result of what happened 307 00:19:47,920 --> 00:19:51,280 Speaker 1: last night, there have to be consequences. We've got teams 308 00:19:51,280 --> 00:19:56,080 Speaker 1: of people that aggressively out there identify the people responsible, 309 00:19:56,400 --> 00:19:59,200 Speaker 1: looking at the plates, and we're going to bring them 310 00:19:59,200 --> 00:20:01,640 Speaker 1: to justice. But when we do, and we do make 311 00:20:01,680 --> 00:20:04,399 Speaker 1: those arrests, our expectation is that this is going to 312 00:20:04,440 --> 00:20:08,000 Speaker 1: be treated with the level of seriousness that it should be. Period. 313 00:20:08,280 --> 00:20:11,880 Speaker 1: Don't try to bait us, mischaracterize, pick one against the other. 314 00:20:12,000 --> 00:20:14,639 Speaker 1: We're not playing that. We are in a serious situation 315 00:20:14,720 --> 00:20:19,680 Speaker 1: here and we need a serious response. That's what we're saying, perious, 316 00:20:20,520 --> 00:20:24,280 Speaker 1: Mayor of Chicago's and don't bait us. This is so serious. 317 00:20:25,680 --> 00:20:27,680 Speaker 1: This is not a time for games. The reporter's questions 318 00:20:27,680 --> 00:20:30,600 Speaker 1: seem very legitimate to me, is asking about prosecutors and judges. 319 00:20:31,400 --> 00:20:33,080 Speaker 1: We keep hearing this in New York too. I know 320 00:20:33,160 --> 00:20:35,800 Speaker 1: this is one of the democrats favorite talking points now 321 00:20:35,960 --> 00:20:40,440 Speaker 1: as their cities smolder in ruin, right, they say, oh, well, 322 00:20:40,600 --> 00:20:44,480 Speaker 1: it's because the courts aren't operating because of COVID. Really, 323 00:20:44,560 --> 00:20:49,199 Speaker 1: the courts are preventing police from being able to do 324 00:20:49,320 --> 00:20:52,520 Speaker 1: their jobs effectively in these cities. No, what prevents police 325 00:20:52,520 --> 00:20:55,439 Speaker 1: from doing their jobs in New York, in Chicago, in 326 00:20:55,640 --> 00:20:58,600 Speaker 1: name a city going through a crime wave in Minneapolis, 327 00:20:59,760 --> 00:21:05,120 Speaker 1: is that Democrat politicians have promised the mob that the 328 00:21:05,119 --> 00:21:08,920 Speaker 1: cops are on a short lease. Now the cops are 329 00:21:10,160 --> 00:21:14,840 Speaker 1: on notice that even a good faith error in trying 330 00:21:14,880 --> 00:21:20,280 Speaker 1: to deal with violent, resisting arrest suspects, even a good 331 00:21:20,280 --> 00:21:23,160 Speaker 1: faith error could result not just an loss of job, 332 00:21:23,160 --> 00:21:25,560 Speaker 1: a loss of freedom in the case of Atlanta, perhaps 333 00:21:25,600 --> 00:21:28,040 Speaker 1: even the threat that the state will put a needle 334 00:21:28,240 --> 00:21:31,760 Speaker 1: in the arm of a law enforcement officer defending himself. 335 00:21:33,320 --> 00:21:36,680 Speaker 1: That has a real effect, that has real ramifications all 336 00:21:36,720 --> 00:21:41,960 Speaker 1: across the country, ramifications that the BLM movement wanted, demanded 337 00:21:42,320 --> 00:21:45,320 Speaker 1: defund police. We have gotten to a place where we 338 00:21:45,440 --> 00:21:48,800 Speaker 1: see what happens when people turn on law enforcement and 339 00:21:48,840 --> 00:21:51,040 Speaker 1: don't get any of these lib morons out there. They 340 00:21:51,080 --> 00:21:55,359 Speaker 1: love the commitment. They haven't defunded decamped yet. Yeah, the 341 00:21:55,400 --> 00:21:58,560 Speaker 1: whole point isn't just that they're saying they want to 342 00:21:58,600 --> 00:22:00,760 Speaker 1: defund them, and they have actually defund of them in 343 00:22:00,800 --> 00:22:04,720 Speaker 1: some places. It is the messaging of defund police. It 344 00:22:04,840 --> 00:22:08,720 Speaker 1: is the messaging of de Blasio and Lightfoot and name 345 00:22:08,800 --> 00:22:11,960 Speaker 1: another mayor of a major city of Wheeler in Portland, 346 00:22:12,760 --> 00:22:16,639 Speaker 1: taking every opportunity to pander to the angry mob, to 347 00:22:16,800 --> 00:22:20,359 Speaker 1: pander to the Democrat Biden voters who think the rules 348 00:22:20,400 --> 00:22:23,320 Speaker 1: don't apply to them because they're so upset. I'm so 349 00:22:23,440 --> 00:22:27,359 Speaker 1: upset right now. You know else is upset. The people 350 00:22:27,400 --> 00:22:29,960 Speaker 1: who showed up to stores that they worked in, that 351 00:22:30,000 --> 00:22:33,040 Speaker 1: they called places of business, that allowed them to pay 352 00:22:33,080 --> 00:22:35,959 Speaker 1: their bills, that allowed them to feel pride when they 353 00:22:36,000 --> 00:22:39,959 Speaker 1: returned home to see their wife or husband and kids. 354 00:22:40,600 --> 00:22:43,320 Speaker 1: Another day doing the right thing, another day bringing home 355 00:22:43,359 --> 00:22:46,439 Speaker 1: a paycheck, making sure that you all have food on 356 00:22:46,480 --> 00:22:51,080 Speaker 1: the table, rent is paid, healthcare. The pride, the dignity 357 00:22:51,080 --> 00:22:55,080 Speaker 1: of that that's being stolen from people by these looters 358 00:22:55,680 --> 00:22:59,960 Speaker 1: who destroy businesses that won't open now for weeks perhaps ever. Again, 359 00:23:01,280 --> 00:23:04,159 Speaker 1: it's not just the theft of the property, it's the 360 00:23:04,160 --> 00:23:06,640 Speaker 1: theft of peace of mind. It's the theft of dignity, 361 00:23:07,000 --> 00:23:12,160 Speaker 1: of decency that occurs. That's why the state has to 362 00:23:12,240 --> 00:23:14,600 Speaker 1: enforce these laws. That's why there must be punishment for 363 00:23:14,640 --> 00:23:19,800 Speaker 1: these things. And now we're told by Mayor Lightfoot, Oh, 364 00:23:19,840 --> 00:23:21,720 Speaker 1: we have teams working on this. We're going to hold 365 00:23:21,720 --> 00:23:27,399 Speaker 1: people to account. This is where the progressive prosecutor project 366 00:23:27,400 --> 00:23:30,600 Speaker 1: that I've told you about also comes into play. Do 367 00:23:30,640 --> 00:23:36,200 Speaker 1: you think that the Kim Fox prosecutors Kim Fox like 368 00:23:36,320 --> 00:23:38,040 Speaker 1: prosecutors across the country. She was the one in the 369 00:23:38,119 --> 00:23:41,960 Speaker 1: Jose Smallt case. Do you think that they're really willing 370 00:23:42,480 --> 00:23:45,400 Speaker 1: to drop the hammer down, so to speak, You think 371 00:23:45,400 --> 00:23:48,919 Speaker 1: they're really willing to put away a looter at this 372 00:23:49,000 --> 00:23:54,000 Speaker 1: point in time. No, not in Chicago. Not if you 373 00:23:54,000 --> 00:23:56,400 Speaker 1: want to keep your prosecutor job. Not if you want 374 00:23:56,400 --> 00:24:00,960 Speaker 1: to be district attorney, maybe become mayor yourself. You're gonna 375 00:24:01,119 --> 00:24:06,280 Speaker 1: find rationales for letting people off easy. Look at what 376 00:24:06,320 --> 00:24:08,520 Speaker 1: has been happening in this and these are all Democrat ideas. 377 00:24:08,520 --> 00:24:11,680 Speaker 1: And this, unfortunately has been one of the places where 378 00:24:11,680 --> 00:24:19,080 Speaker 1: the Trump administration was infiltrated with some very faulty LIB thinking. Okay, 379 00:24:19,119 --> 00:24:22,160 Speaker 1: the Lib thinking is, if we only do more criminal 380 00:24:22,200 --> 00:24:26,239 Speaker 1: justice reform, if we try to meet them halfway, we 381 00:24:26,400 --> 00:24:31,000 Speaker 1: will we will have safer communities, will have better outreached 382 00:24:31,040 --> 00:24:34,359 Speaker 1: the minority community, and they'll be more justice. What has 383 00:24:34,440 --> 00:24:38,760 Speaker 1: ended up happening is you get rid of bail you have, 384 00:24:38,960 --> 00:24:41,199 Speaker 1: so you have people who are released who go out 385 00:24:41,240 --> 00:24:44,560 Speaker 1: and commit more crimes. Somebody recently killed the woman he 386 00:24:44,640 --> 00:24:46,800 Speaker 1: raped who was a suspect against him in a rape trial. 387 00:24:46,880 --> 00:24:49,679 Speaker 1: He was let out of prison because of COVID fears, 388 00:24:50,280 --> 00:24:52,480 Speaker 1: So they used the fear of COVID to let people 389 00:24:52,520 --> 00:24:54,840 Speaker 1: out who shouldn't have been let out. They get rid 390 00:24:54,960 --> 00:24:57,800 Speaker 1: of bail so that judges have a much harder time 391 00:24:57,920 --> 00:25:01,359 Speaker 1: holding anyone. They tell cops, you better find a way 392 00:25:01,520 --> 00:25:05,439 Speaker 1: to wrestle lunatic suspects to the ground, emotionally disturbed persons 393 00:25:05,480 --> 00:25:07,720 Speaker 1: to the ground, and not make it look like you're 394 00:25:07,840 --> 00:25:11,480 Speaker 1: using any violence against them, or else you'll lose your 395 00:25:11,560 --> 00:25:13,880 Speaker 1: job and maybe go to prison and have your life ruined, 396 00:25:13,920 --> 00:25:17,200 Speaker 1: your family's life ruin. All these things coming together result 397 00:25:17,720 --> 00:25:21,359 Speaker 1: in what we're seeing right now, the doubling of shootings 398 00:25:21,440 --> 00:25:23,359 Speaker 1: year to year in the month of July in a 399 00:25:23,359 --> 00:25:28,600 Speaker 1: place like New York, the doubling of shooting America's largest 400 00:25:28,600 --> 00:25:32,840 Speaker 1: city eight point six eight point seven million people, Chicago 401 00:25:32,960 --> 00:25:36,359 Speaker 1: is the third largest city. Look at the major cities 402 00:25:36,359 --> 00:25:39,200 Speaker 1: across the country. Why is violence rising in all of them? 403 00:25:39,440 --> 00:25:42,360 Speaker 1: And especially when you're talking about the statistics here the numbers. 404 00:25:43,720 --> 00:25:46,840 Speaker 1: It's in a year when people have been largely confined 405 00:25:46,880 --> 00:25:50,840 Speaker 1: to their homes, far less human interaction on the streets, 406 00:25:50,880 --> 00:25:55,199 Speaker 1: far less opportunity you would think for criminal mischief and 407 00:25:55,440 --> 00:25:58,840 Speaker 1: criminal predatory behavior. But no, the number we're breaking records 408 00:25:58,840 --> 00:26:01,640 Speaker 1: in all the worst ways in many cities across the country. 409 00:26:02,680 --> 00:26:06,320 Speaker 1: Why because of the lies the Democrat Party told. This 410 00:26:06,400 --> 00:26:10,280 Speaker 1: is on This is squarely on them. I hope, I 411 00:26:10,359 --> 00:26:12,119 Speaker 1: really mean this with my friends. I hope that it 412 00:26:12,160 --> 00:26:16,879 Speaker 1: costs the Democrats the presidency and control of the House. 413 00:26:17,480 --> 00:26:19,600 Speaker 1: I can't tell you that it will, but that would 414 00:26:19,640 --> 00:26:22,920 Speaker 1: be justice. That would be justice for the store owners, 415 00:26:23,400 --> 00:26:26,040 Speaker 1: for the employees of those stores, for the people who 416 00:26:26,080 --> 00:26:30,520 Speaker 1: live in neighborhoods who have been terrorized by this, and 417 00:26:30,800 --> 00:26:34,600 Speaker 1: the coddling of the media of a movement that has 418 00:26:34,640 --> 00:26:39,520 Speaker 1: brought no benefit other than the social justice virtue signaling 419 00:26:39,520 --> 00:26:42,760 Speaker 1: for mostly white liberals out in the streets for their 420 00:26:42,800 --> 00:26:47,240 Speaker 1: Instagram and their TikTok videos. They're not helping anyone in society. 421 00:26:47,320 --> 00:26:52,680 Speaker 1: They're not tackling systemic racism. They're not making racism go away. 422 00:26:52,840 --> 00:26:56,920 Speaker 1: In fact, they're creating a society in their minds where 423 00:26:57,080 --> 00:27:01,320 Speaker 1: race becomes a determining factor in innocence or gui, where race, 424 00:27:01,400 --> 00:27:04,240 Speaker 1: all of a sudden, can be used to the benefit 425 00:27:04,280 --> 00:27:09,680 Speaker 1: of minorities against you know, non minorities, whites and Asians 426 00:27:09,720 --> 00:27:14,600 Speaker 1: predominantly in the legal system. They believe in this, They 427 00:27:14,680 --> 00:27:18,160 Speaker 1: believe in these changes to the country. All of this 428 00:27:18,400 --> 00:27:22,000 Speaker 1: is negative. All this is destructive, and we're seeing the results, 429 00:27:22,000 --> 00:27:24,399 Speaker 1: and they want to hide the results. They'll try, but 430 00:27:24,480 --> 00:27:28,240 Speaker 1: they can't really because we see them for what they're doing. 431 00:27:28,320 --> 00:27:32,200 Speaker 1: We see what's going on. Will they hold them responsible 432 00:27:32,200 --> 00:27:35,959 Speaker 1: in Chicago for the looting? I don't think so. I 433 00:27:36,000 --> 00:27:39,680 Speaker 1: don't think so. Will we hold the Democrat Party responsible 434 00:27:39,760 --> 00:27:44,560 Speaker 1: this fall? Will the Americans listening to this in Ohio, 435 00:27:44,760 --> 00:27:50,880 Speaker 1: in Florida, in Nevada, in Wisconsin? Will they recognize what 436 00:27:50,920 --> 00:27:54,320 Speaker 1: the stakes are and what the Democrat Party has become 437 00:27:54,840 --> 00:27:58,240 Speaker 1: and rebuke it at the ballot box? That is the 438 00:27:58,359 --> 00:28:01,280 Speaker 1: question that I leave for you right now. I certainly 439 00:28:01,400 --> 00:28:07,040 Speaker 1: hope the answers. Yes. You're in the Freedom und This 440 00:28:07,119 --> 00:28:14,639 Speaker 1: is the Buck Sex and Show podcast. Russia claims to 441 00:28:14,840 --> 00:28:18,880 Speaker 1: have a vaccine the pot of coronavirus. We'll see if 442 00:28:18,880 --> 00:28:21,240 Speaker 1: he sees through. Look, this would be a huge breakthrough 443 00:28:21,280 --> 00:28:27,199 Speaker 1: if it's If it works, it's pretty impressive if the 444 00:28:27,280 --> 00:28:30,600 Speaker 1: Russians with an economy that has a fraction the size 445 00:28:30,640 --> 00:28:33,720 Speaker 1: of the US economy, If the Russians are are truly 446 00:28:33,800 --> 00:28:37,359 Speaker 1: able to have or I've been able to do this now. 447 00:28:37,600 --> 00:28:39,920 Speaker 1: Part of this, obviously is going to be that the 448 00:28:40,320 --> 00:28:47,040 Speaker 1: Russian government is more willing to tolerate risk from a 449 00:28:47,080 --> 00:28:51,040 Speaker 1: thing like this. They have not done the big, the 450 00:28:51,040 --> 00:28:54,240 Speaker 1: big trial of about thirty thousand people, which is going 451 00:28:54,280 --> 00:28:56,280 Speaker 1: to be done, which is underway right now in the US, 452 00:28:56,840 --> 00:29:01,440 Speaker 1: for large scale data sets in order to hast effectiveness 453 00:29:01,440 --> 00:29:05,600 Speaker 1: and safety of this. The Russians, I guess they're deciding, Look, 454 00:29:05,680 --> 00:29:09,240 Speaker 1: we're pretty sure that this is effective. It is based 455 00:29:09,280 --> 00:29:12,000 Speaker 1: along similar technology. It's not like they're, you know, telling 456 00:29:12,040 --> 00:29:13,760 Speaker 1: you to rub some dirt on it or something, right, 457 00:29:13,760 --> 00:29:17,600 Speaker 1: I mean, they're they're basing this along similar technology or 458 00:29:17,680 --> 00:29:20,280 Speaker 1: similar research and science. I should say that's being used 459 00:29:20,320 --> 00:29:25,480 Speaker 1: in other places. And they are all prudent. Says that 460 00:29:25,640 --> 00:29:28,280 Speaker 1: one of his daughters has already taken it. And I 461 00:29:28,280 --> 00:29:30,240 Speaker 1: always tell you that there is there's a test here. 462 00:29:31,080 --> 00:29:34,600 Speaker 1: You know, there's a test here where do as people 463 00:29:34,720 --> 00:29:37,600 Speaker 1: do themselves when it comes to medicine, not as they 464 00:29:37,640 --> 00:29:39,680 Speaker 1: tell others to do, right, I mean, you know you 465 00:29:39,680 --> 00:29:42,760 Speaker 1: could trust somebody. I mean, I trust a doctor who 466 00:29:42,800 --> 00:29:45,640 Speaker 1: will tell me that, you know, for X disease, he 467 00:29:46,120 --> 00:29:48,400 Speaker 1: or she and his whole and you know, their whole 468 00:29:48,400 --> 00:29:52,400 Speaker 1: family have taken the treatment or been vaccinated. That that 469 00:29:52,520 --> 00:29:56,720 Speaker 1: always adds a little layer of Okay, I think that 470 00:29:56,720 --> 00:30:01,000 Speaker 1: that's probably more it's more likely, probably more likely that 471 00:30:01,120 --> 00:30:04,040 Speaker 1: you can trust that person's opinion even even more fully. 472 00:30:04,080 --> 00:30:08,400 Speaker 1: At least, so we have a Russia vaccine, a Russian 473 00:30:08,480 --> 00:30:10,560 Speaker 1: vaccine that's out there. I don't know how they're gonna 474 00:30:10,560 --> 00:30:13,400 Speaker 1: tie this into Russia collusion, but maybe just just give 475 00:30:13,400 --> 00:30:17,360 Speaker 1: it time. You'll probably see somebody on the left, a 476 00:30:17,480 --> 00:30:24,680 Speaker 1: journo who comes out with some version of uh, you know, 477 00:30:24,800 --> 00:30:28,640 Speaker 1: they'll they'll say something along the lines of Russia is 478 00:30:28,680 --> 00:30:31,760 Speaker 1: trying to help Trump by rushing out a vaccine. You're 479 00:30:31,760 --> 00:30:34,200 Speaker 1: gonna see it, all right, it's a prediction, but I 480 00:30:34,200 --> 00:30:37,600 Speaker 1: think you're gonna say, oh, look at this, putin Trump's 481 00:30:37,600 --> 00:30:40,959 Speaker 1: best buddy going out there, try to help Trump win 482 00:30:41,040 --> 00:30:43,360 Speaker 1: election by because there is a little bit of a 483 00:30:43,440 --> 00:30:45,400 Speaker 1: sense to the agonist. I can feel it in the 484 00:30:45,480 --> 00:30:51,240 Speaker 1: news cycle. You can sense it that the market's gotten up. 485 00:30:51,520 --> 00:30:54,560 Speaker 1: The Dow is up above I think twenty I think, 486 00:30:55,000 --> 00:30:57,560 Speaker 1: Producer Mark was a twenty seven, twenty eight thousand. Today 487 00:30:57,560 --> 00:31:01,120 Speaker 1: it's the tao Is is up a bunch this week, 488 00:31:01,800 --> 00:31:05,520 Speaker 1: and there's a sense that, Okay, we're getting close here, 489 00:31:05,600 --> 00:31:09,400 Speaker 1: almost into September, September October, we really should have a 490 00:31:09,480 --> 00:31:12,560 Speaker 1: vaccine based on the trials we're seeing here in this 491 00:31:12,640 --> 00:31:15,880 Speaker 1: country this year, which it means within a few months. 492 00:31:16,400 --> 00:31:18,840 Speaker 1: So it's starting to feel like the end of this 493 00:31:19,080 --> 00:31:23,360 Speaker 1: is near, and that's a great thing for America, for 494 00:31:23,400 --> 00:31:25,680 Speaker 1: the whole world if that's true. I don't want to look. 495 00:31:26,160 --> 00:31:28,600 Speaker 1: One of the most important lessons I've learned in life 496 00:31:29,200 --> 00:31:34,719 Speaker 1: do not celebrate early. You don't celebrating early is psychologically catastrophic. 497 00:31:34,760 --> 00:31:36,720 Speaker 1: It also forces you to make off in very bad 498 00:31:36,800 --> 00:31:40,320 Speaker 1: decisions because once you've already said, oh great, look I win, 499 00:31:40,400 --> 00:31:42,960 Speaker 1: you know you never want to be the guy, right, 500 00:31:43,000 --> 00:31:44,560 Speaker 1: Producer Mark. You don't want to be the guy who's 501 00:31:44,560 --> 00:31:47,200 Speaker 1: doing the touchdown dance before you get into the end zone. 502 00:31:47,240 --> 00:31:49,320 Speaker 1: And you get tackled right that the team doesn't like 503 00:31:49,360 --> 00:31:51,960 Speaker 1: that guy. Yeah, not a smart move. Yeah, that's not 504 00:31:52,000 --> 00:31:53,440 Speaker 1: a good move. You don't want to be that guy. 505 00:31:53,840 --> 00:31:57,360 Speaker 1: So I'm not high stepping yet on the COVID vaccine 506 00:31:57,400 --> 00:32:00,000 Speaker 1: because who knows right and who knows about this rush? 507 00:32:00,000 --> 00:32:03,240 Speaker 1: I'll tell you this. Would I take the Russian vaccine? No, 508 00:32:03,640 --> 00:32:08,000 Speaker 1: producer Mark, would you take the Russian vaccine? No? Absolutely not. Yeah, No, 509 00:32:09,200 --> 00:32:11,240 Speaker 1: I don't. I don't think so. I mean there's a 510 00:32:11,240 --> 00:32:13,000 Speaker 1: part of you that that that's hoping it would like 511 00:32:13,080 --> 00:32:16,960 Speaker 1: make me Ivandrago from a Rocky four. You know, I'd 512 00:32:16,960 --> 00:32:18,800 Speaker 1: be like, it must break you. But I don't think. No, 513 00:32:18,840 --> 00:32:22,200 Speaker 1: it's not going to do that. So I do believe. 514 00:32:23,440 --> 00:32:26,760 Speaker 1: I do believe that there's a lot of twenty Yeah, 515 00:32:26,760 --> 00:32:29,280 Speaker 1: it's over twenty eight dow over twenty eight thousand. Today. 516 00:32:29,280 --> 00:32:31,160 Speaker 1: People are starting to feel it. They're like, I think 517 00:32:31,160 --> 00:32:33,800 Speaker 1: it's going to come back. And here's what I want 518 00:32:33,840 --> 00:32:36,960 Speaker 1: you to be prepared for. And you've got to get 519 00:32:36,960 --> 00:32:42,000 Speaker 1: your mindset in this space now because otherwise you will, 520 00:32:42,840 --> 00:32:45,640 Speaker 1: you will give the other side more credit than they 521 00:32:45,680 --> 00:32:47,959 Speaker 1: deserve on this right, You've you've got to look at 522 00:32:48,000 --> 00:32:51,840 Speaker 1: this as it is right now, and you've got to say, okay, 523 00:32:54,520 --> 00:32:58,680 Speaker 1: they're going to be rooting against a vaccine for widespread ushers. 524 00:32:58,720 --> 00:33:02,000 Speaker 1: The Libs are gonna say, no, no, no, let's hold off, 525 00:33:02,080 --> 00:33:06,560 Speaker 1: let's hold off. They don't want vaccination to start and 526 00:33:07,280 --> 00:33:11,560 Speaker 1: a big surge of optimism and economic activity to flourish 527 00:33:12,080 --> 00:33:15,840 Speaker 1: over the next sixty days. And that's that's a hard 528 00:33:15,880 --> 00:33:18,920 Speaker 1: thing to hear because you know, all we have so 529 00:33:18,960 --> 00:33:22,040 Speaker 1: many libs out there wear a mask, you know, all 530 00:33:22,080 --> 00:33:24,880 Speaker 1: this stuff. Oh my gosh, they're always in panic about this. 531 00:33:25,800 --> 00:33:28,880 Speaker 1: You know, you're outside walking by yourself, no longer than 532 00:33:28,880 --> 00:33:31,440 Speaker 1: twenty yards. Why aren't you wearing a mask? Because I'm 533 00:33:31,480 --> 00:33:36,480 Speaker 1: not crazy, I don't know. But those same libs, remember, 534 00:33:36,600 --> 00:33:40,280 Speaker 1: the COVID virus for them has been and I'm I'm 535 00:33:40,320 --> 00:33:44,640 Speaker 1: now going deep into lib psychology for you, I know, 536 00:33:45,520 --> 00:33:50,760 Speaker 1: buckle up. The the COVID pandemic for the liberal mindset 537 00:33:50,760 --> 00:33:55,920 Speaker 1: in America has been the realization for them has been 538 00:33:55,960 --> 00:34:00,000 Speaker 1: for them, it has proven them, It has proven them 539 00:34:00,120 --> 00:34:03,640 Speaker 1: right in their minds that Trump is a disaster of 540 00:34:03,880 --> 00:34:08,160 Speaker 1: unparalleled proportions, a threat to their republic. And so what 541 00:34:08,239 --> 00:34:12,839 Speaker 1: they are most upset about ultimately is that Trump has 542 00:34:12,880 --> 00:34:16,359 Speaker 1: been president during this and they blame him for all 543 00:34:16,400 --> 00:34:18,680 Speaker 1: of it, even though it is hit the whole world, 544 00:34:18,800 --> 00:34:21,360 Speaker 1: even though there are so many countries that on a 545 00:34:21,400 --> 00:34:25,080 Speaker 1: per capita basis have had more fatalities than the US has, 546 00:34:25,120 --> 00:34:29,799 Speaker 1: they still view this as essentially it's like a catharsis 547 00:34:29,840 --> 00:34:32,720 Speaker 1: of anti trumpsm this whole process of going through this virus, 548 00:34:32,800 --> 00:34:38,720 Speaker 1: it's there. They are expunging or expelling all their anti 549 00:34:38,840 --> 00:34:44,919 Speaker 1: Trump rage during this virus period, and they only think 550 00:34:45,160 --> 00:34:47,480 Speaker 1: the only thing that they're looking forward to with all 551 00:34:47,520 --> 00:34:50,880 Speaker 1: of this right now is that Trump will lose the 552 00:34:50,880 --> 00:34:55,000 Speaker 1: election because of the virus. Can you imagine psychologically where 553 00:34:55,040 --> 00:34:57,479 Speaker 1: they will be if after this virus, which they blame 554 00:34:57,520 --> 00:35:00,400 Speaker 1: Trump for, they say he's showed no leadership, but he's 555 00:35:00,400 --> 00:35:04,719 Speaker 1: been horrible, If after all that he wins reelection, they 556 00:35:04,760 --> 00:35:06,560 Speaker 1: will think that this is a president who has gotten 557 00:35:06,600 --> 00:35:10,560 Speaker 1: away with you one hundred and fifty thousand murders. I mean, 558 00:35:10,600 --> 00:35:15,839 Speaker 1: that's crazy. I know, that's absolutely textbook insane. But they 559 00:35:15,920 --> 00:35:20,200 Speaker 1: will believe that. A lot of them believe that, and 560 00:35:20,320 --> 00:35:22,680 Speaker 1: they've already convinced themselves for years the Trump is a 561 00:35:22,719 --> 00:35:26,640 Speaker 1: Russian asset which was also stupid and insane. Now they're 562 00:35:26,640 --> 00:35:31,239 Speaker 1: going to think that the president has gotten away with 563 00:35:31,480 --> 00:35:35,279 Speaker 1: mass murder during the pandemic, and you know, he's the 564 00:35:35,320 --> 00:35:39,200 Speaker 1: worst person ever. I was watching the show Succession, and 565 00:35:39,320 --> 00:35:41,600 Speaker 1: the main character who's sort of like the head of 566 00:35:41,640 --> 00:35:44,000 Speaker 1: Fox News ales that's kind of is based off of 567 00:35:44,040 --> 00:35:46,920 Speaker 1: He's Got It. It's a fictional show, but there's rough approximate, 568 00:35:46,960 --> 00:35:50,080 Speaker 1: you know, approximations with characters. And the guy's brother, who's 569 00:35:50,120 --> 00:35:53,279 Speaker 1: a huge lib has this whole monologue about how the 570 00:35:53,680 --> 00:35:56,800 Speaker 1: head of the conservative news network has killed more people 571 00:35:56,800 --> 00:36:01,160 Speaker 1: than Hitler because of climate change denialism, and it's absurd, 572 00:36:01,800 --> 00:36:04,840 Speaker 1: but that's a mentality that actually exists. People are going 573 00:36:04,920 --> 00:36:07,520 Speaker 1: to think that Donald Trump, they're going into the Democrats 574 00:36:07,600 --> 00:36:10,480 Speaker 1: libs think that he's responsible for the COVID death doll. 575 00:36:10,600 --> 00:36:13,880 Speaker 1: He personally is responsible, and so whatever they have do 576 00:36:13,920 --> 00:36:16,640 Speaker 1: to hold them responsible making sure he loses, they think 577 00:36:16,760 --> 00:36:21,080 Speaker 1: is justified. Thanks for listening to the buses and show podcasts. 578 00:36:21,400 --> 00:36:25,239 Speaker 1: Remember to subscribe on Apple podcasts, the iHeartRadio app, or 579 00:36:25,239 --> 00:36:30,759 Speaker 1: wherever you get your podcasts. Speaking of dishonesty in service 580 00:36:30,960 --> 00:36:35,480 Speaker 1: of the Democrat narrative around COVID and the fight against coronavirus, 581 00:36:35,600 --> 00:36:41,160 Speaker 1: China virus, all that stuff. We have been living through 582 00:36:41,320 --> 00:36:44,160 Speaker 1: one of the most epic gas lighting situations I've ever 583 00:36:44,160 --> 00:36:47,080 Speaker 1: seen in my entire life. Actually a couple of them, 584 00:36:47,600 --> 00:36:53,479 Speaker 1: the two great gas lightings of the COVID pandemic have 585 00:36:53,560 --> 00:36:58,720 Speaker 1: been one public health experts who were willing to bow 586 00:36:58,880 --> 00:37:03,239 Speaker 1: down in servians to the Black Lives Matter movement at 587 00:37:03,280 --> 00:37:07,399 Speaker 1: the risk and cost of infections and lives, by their 588 00:37:07,480 --> 00:37:12,000 Speaker 1: own logic, by their own expert advice, to bow down 589 00:37:12,040 --> 00:37:16,120 Speaker 1: before that movement and justify, not even apologize for it, 590 00:37:16,200 --> 00:37:21,000 Speaker 1: just straight up justify the mass protests across the country 591 00:37:21,280 --> 00:37:25,000 Speaker 1: during lockdowns, when people still could not bury loved ones, 592 00:37:25,000 --> 00:37:27,440 Speaker 1: could not go to funerals, could not have weddings, but 593 00:37:27,600 --> 00:37:29,760 Speaker 1: you could get together with two thousand of your buddies 594 00:37:30,320 --> 00:37:34,040 Speaker 1: walk down the street screaming, breaking stuff, yelling and spitting 595 00:37:34,080 --> 00:37:37,719 Speaker 1: at cops, and people with MD next to their name 596 00:37:37,760 --> 00:37:41,040 Speaker 1: on Twitter at least or on MSNBC and CNN would say, well, 597 00:37:41,120 --> 00:37:43,719 Speaker 1: this is good for public health, actually, because you know 598 00:37:44,000 --> 00:37:47,960 Speaker 1: this is about saving black lives. No, it's not. It's 599 00:37:47,960 --> 00:37:50,400 Speaker 1: actually not what the movement's about. I'm not going to 600 00:37:50,480 --> 00:37:54,200 Speaker 1: allow the continued lies about this and everything. They're seizing 601 00:37:54,200 --> 00:37:59,239 Speaker 1: a moral high ground that they do not occupy. Okay, 602 00:37:59,280 --> 00:38:01,879 Speaker 1: they are not coming at this from the moral high ground. 603 00:38:01,920 --> 00:38:08,239 Speaker 1: It's just not true. They pretend. So that's one great 604 00:38:08,320 --> 00:38:12,520 Speaker 1: gas lighting, and perhaps I should write a piece the 605 00:38:12,520 --> 00:38:15,000 Speaker 1: great gas lighting of twenty twenty. But the other one, 606 00:38:16,719 --> 00:38:20,640 Speaker 1: the other gas lighting, is that the Red states have 607 00:38:20,840 --> 00:38:24,800 Speaker 1: done poorly against this, and the Blue states, the major 608 00:38:24,840 --> 00:38:27,640 Speaker 1: blue states, right the ones where all the worst politicians 609 00:38:27,680 --> 00:38:30,560 Speaker 1: come from, all the You know that the power of 610 00:38:30,640 --> 00:38:34,799 Speaker 1: the Democrat Party is situated, that they did a great job, 611 00:38:35,360 --> 00:38:40,160 Speaker 1: that they were excellent in their handling of this, And 612 00:38:40,560 --> 00:38:44,480 Speaker 1: that's not true. I do this show every day and 613 00:38:44,520 --> 00:38:47,200 Speaker 1: have for every day of the pandemic from the center 614 00:38:47,239 --> 00:38:49,759 Speaker 1: of New York City, right in the middle of Manhattan, 615 00:38:49,800 --> 00:38:53,440 Speaker 1: in the middle of New York and this place, and 616 00:38:53,520 --> 00:38:55,719 Speaker 1: I will never forget. We had, as I've told you, 617 00:38:56,200 --> 00:39:02,000 Speaker 1: field hospitals set up in our parks, hospitals, I mean 618 00:39:02,440 --> 00:39:07,719 Speaker 1: Navy hospital ships going past my window. The biggest convention 619 00:39:07,800 --> 00:39:10,560 Speaker 1: center in New York set up as a massive excess 620 00:39:10,600 --> 00:39:14,120 Speaker 1: capacity hospital. Right we were on We were in a 621 00:39:14,280 --> 00:39:17,080 Speaker 1: state as a city of total panic, and while it 622 00:39:17,120 --> 00:39:20,239 Speaker 1: never got as bad in the numbers as they projected, 623 00:39:20,360 --> 00:39:23,399 Speaker 1: which was going to be a total overflow, and it 624 00:39:23,560 --> 00:39:27,800 Speaker 1: was really bad, twenty five to let's call it, twenty 625 00:39:27,800 --> 00:39:31,080 Speaker 1: five thousand dead in New York from COVID. That's without 626 00:39:31,080 --> 00:39:34,279 Speaker 1: getting into dying from COVID versus dying with COVID and 627 00:39:34,400 --> 00:39:38,000 Speaker 1: the incentive that does exist for hospitals to code things 628 00:39:38,040 --> 00:39:40,200 Speaker 1: as a COVID death because they get more of a 629 00:39:40,239 --> 00:39:43,759 Speaker 1: reimbursement from it. And I'm sure there are people that 630 00:39:43,840 --> 00:39:45,680 Speaker 1: do that that are coding it a little bit more 631 00:39:45,760 --> 00:39:49,520 Speaker 1: liberally to include more deaths as under the COVID umbrella, 632 00:39:49,600 --> 00:39:52,359 Speaker 1: and they feel like they're also doing a service because well, 633 00:39:52,360 --> 00:39:55,920 Speaker 1: at least now they're raising more awareness about COVID nineteen, right, 634 00:39:56,040 --> 00:40:02,160 Speaker 1: So I know that's been happening. Governor Cuomo has become 635 00:40:02,320 --> 00:40:04,799 Speaker 1: more of a household name than ever before. He had 636 00:40:04,840 --> 00:40:07,920 Speaker 1: his little two man variety show on TV at night 637 00:40:07,960 --> 00:40:10,439 Speaker 1: with his brother. Why haven't you quod mom? I'm gonna 638 00:40:10,480 --> 00:40:12,319 Speaker 1: quot mom first? What do you mean you're a smart one? 639 00:40:12,320 --> 00:40:14,160 Speaker 1: I'm the dumber. What are you talking about? You're not Fredo? 640 00:40:14,200 --> 00:40:16,399 Speaker 1: I'm Fredo, right. All this stuff that they were doing 641 00:40:16,840 --> 00:40:21,160 Speaker 1: while the pandemic was raging in the city, and Cuomo, 642 00:40:20,880 --> 00:40:24,440 Speaker 1: without missing a beat, doesn't say a word about the 643 00:40:24,480 --> 00:40:28,880 Speaker 1: protesters other than its lawful protest First Amendment rights important movement. 644 00:40:28,880 --> 00:40:32,880 Speaker 1: You know, the usual bend the knee, lib pandering to BLM. 645 00:40:33,400 --> 00:40:35,560 Speaker 1: A lot of that from him. But the moment that 646 00:40:35,680 --> 00:40:39,680 Speaker 1: you want to open up a bar or even just 647 00:40:39,719 --> 00:40:41,919 Speaker 1: serve people out on the street and open air from 648 00:40:41,960 --> 00:40:45,120 Speaker 1: your bar, none of social distancing. What a poll you 649 00:40:45,280 --> 00:40:48,680 Speaker 1: look a license? We're gonna pull it from you. Why 650 00:40:48,880 --> 00:40:51,640 Speaker 1: will you not listen to me? I am the tyrant 651 00:40:51,680 --> 00:40:57,320 Speaker 1: dictator of New York. Well, he has no problem issuing 652 00:40:57,360 --> 00:41:00,560 Speaker 1: fines and shutting down businesses. And they've played this is 653 00:41:00,560 --> 00:41:03,480 Speaker 1: like Lucy with the football and Charlie Brown. Uh. You know, 654 00:41:03,520 --> 00:41:06,000 Speaker 1: they tell us, oh no, this time, we promised the metrics, 655 00:41:06,040 --> 00:41:08,440 Speaker 1: say we can reopen, and then nope, they pull the 656 00:41:08,440 --> 00:41:11,160 Speaker 1: football away. We don't get to reopen. Haven't reopened for 657 00:41:11,200 --> 00:41:15,960 Speaker 1: interior dining, having reopened jims, having reopened public gatherings, none 658 00:41:15,960 --> 00:41:20,440 Speaker 1: of it. Why, well, we had two or three COVID 659 00:41:20,480 --> 00:41:22,560 Speaker 1: deaths a day on average for the last couple of weeks. 660 00:41:23,880 --> 00:41:26,399 Speaker 1: And these are these are senior citizens who are dying 661 00:41:26,400 --> 00:41:31,239 Speaker 1: of COVID. Right, senior citizens who may also have been 662 00:41:31,280 --> 00:41:33,799 Speaker 1: at very high are at high risk of dying from 663 00:41:33,800 --> 00:41:36,439 Speaker 1: flu and dying from other things as well. People die 664 00:41:36,520 --> 00:41:39,879 Speaker 1: from things. Every day. Two or three people dying from 665 00:41:39,880 --> 00:41:41,920 Speaker 1: a disease. You would think would not be enough to 666 00:41:41,920 --> 00:41:44,319 Speaker 1: shut down a state of twenty million people. But here 667 00:41:44,360 --> 00:41:49,880 Speaker 1: we are. Here we are. And then that brings me to, 668 00:41:51,360 --> 00:41:54,160 Speaker 1: in some ways the darkest chapter of the whole COVID response, 669 00:41:54,920 --> 00:41:58,440 Speaker 1: and that is the the order given. It was It 670 00:41:58,560 --> 00:42:03,560 Speaker 1: was an order given by Governor Cuomo because he was 671 00:42:03,680 --> 00:42:07,400 Speaker 1: so swept up in this belief that we were going 672 00:42:07,440 --> 00:42:11,360 Speaker 1: to have overflowing hospitals. We weren't going to have people 673 00:42:11,360 --> 00:42:14,520 Speaker 1: were going to be showing up to the hospital and told, oh, 674 00:42:14,640 --> 00:42:16,040 Speaker 1: you don't have a we have Not only do we 675 00:42:16,120 --> 00:42:17,920 Speaker 1: not have a ventilator for you, we have no ability 676 00:42:17,920 --> 00:42:20,080 Speaker 1: to care for you. Now we also know ventilators are 677 00:42:20,280 --> 00:42:22,719 Speaker 1: an absolute last resort for this virus. They want to 678 00:42:22,719 --> 00:42:24,880 Speaker 1: do everything you can before putting on a ventilator. Ventilator 679 00:42:24,960 --> 00:42:27,640 Speaker 1: is and we should have known this early on. Your 680 00:42:27,719 --> 00:42:30,120 Speaker 1: chance of coming off a ventilator in the early stages 681 00:42:30,160 --> 00:42:33,000 Speaker 1: of this of this pandemic. If you went on it 682 00:42:33,080 --> 00:42:37,640 Speaker 1: were less than fifty percent, that's a terrible treatment model. 683 00:42:37,680 --> 00:42:40,799 Speaker 1: I mean, that's not something to be you know, that's 684 00:42:40,800 --> 00:42:43,760 Speaker 1: not successful at all. Oh, you go on a ventilator, 685 00:42:43,760 --> 00:42:45,440 Speaker 1: you got a fifty fifty chance of living. Make sure 686 00:42:45,440 --> 00:42:47,239 Speaker 1: we have enough ventilators for everybody. Know, there were a 687 00:42:47,239 --> 00:42:49,759 Speaker 1: lot of things they need to figure out before then 688 00:42:49,880 --> 00:42:52,600 Speaker 1: other steps, pre ventilator steps that might have been helpful. 689 00:42:52,760 --> 00:42:54,920 Speaker 1: And I know some of your yelling how about preventative 690 00:42:55,000 --> 00:42:59,799 Speaker 1: hydroxy chloroquine, but there are there are massive incentives in 691 00:42:59,840 --> 00:43:02,640 Speaker 1: the media and the Democrat Party to suppress the truth 692 00:43:02,640 --> 00:43:05,799 Speaker 1: about hydroxy chloroquine. We know this. I'm not saying that 693 00:43:05,880 --> 00:43:07,920 Speaker 1: it works, and I'm not saying that they're even wrong 694 00:43:08,040 --> 00:43:10,440 Speaker 1: in thinking it doesn't work. I am pointing out that 695 00:43:10,480 --> 00:43:14,480 Speaker 1: there are enormous incentives for drug companies and enormous incentives 696 00:43:14,480 --> 00:43:18,840 Speaker 1: for the Democrat Party in the media to at least delay, delay, 697 00:43:19,320 --> 00:43:23,080 Speaker 1: a real reckoning over hydroxy chloroquine, not as a last 698 00:43:23,480 --> 00:43:27,040 Speaker 1: ditch effort to save people in the hospital, but as 699 00:43:27,200 --> 00:43:31,000 Speaker 1: an early stage intervention, which is exactly what we already 700 00:43:31,040 --> 00:43:34,640 Speaker 1: have for flu with tamiflu. If you don't take it 701 00:43:34,640 --> 00:43:38,160 Speaker 1: within the first three days. Doesn't have any effect. Go 702 00:43:38,239 --> 00:43:42,480 Speaker 1: ask your doctor. Doesn't have any effect If you take 703 00:43:42,520 --> 00:43:46,360 Speaker 1: tamiflu when you're already having your lungs fill up with 704 00:43:46,400 --> 00:43:49,520 Speaker 1: fluid because you're on your body is unable to fight 705 00:43:49,600 --> 00:43:53,080 Speaker 1: off the influenza infection. Tama flow is not really going 706 00:43:53,160 --> 00:43:56,200 Speaker 1: to do very much for you. But we're told, oh, no, 707 00:43:56,239 --> 00:43:58,680 Speaker 1: we've only tried hydroxy chlorically in these trials where it's 708 00:43:58,719 --> 00:44:00,760 Speaker 1: given to people who are already hostile spital lies, already 709 00:44:00,760 --> 00:44:03,960 Speaker 1: having severe symptoms, so it doesn't work. Shut up, peasant. 710 00:44:04,000 --> 00:44:07,560 Speaker 1: It doesn't work, that's what they say. But let me 711 00:44:07,600 --> 00:44:09,799 Speaker 1: get back and we understand why a lot of people are. 712 00:44:09,920 --> 00:44:12,319 Speaker 1: They've also lied. They lied to you, The media lied 713 00:44:12,360 --> 00:44:15,160 Speaker 1: you about how it was so dangerous. It's not a 714 00:44:15,239 --> 00:44:18,040 Speaker 1: dangerous drug. That's a lie. Oh it does bad things 715 00:44:18,040 --> 00:44:20,279 Speaker 1: to your heart. Yeah, tilent all will put a hole 716 00:44:20,280 --> 00:44:22,280 Speaker 1: in your stomach if you take it. You know that's true. 717 00:44:22,920 --> 00:44:26,600 Speaker 1: It can. It doesn't always, but it can create a 718 00:44:26,640 --> 00:44:30,840 Speaker 1: stomach bleeding, which is basically because it erodes it creates 719 00:44:31,520 --> 00:44:33,879 Speaker 1: ulceration in you in the lining of your stomach if 720 00:44:33,880 --> 00:44:35,480 Speaker 1: you take it enough, and you know so on and 721 00:44:35,520 --> 00:44:39,000 Speaker 1: so forth. But does I mean you're never gonna take 722 00:44:39,000 --> 00:44:40,440 Speaker 1: a tileent all again, or you know, take it a 723 00:44:40,480 --> 00:44:42,360 Speaker 1: seat a minute fin or an ibuprofin or no, of 724 00:44:42,360 --> 00:44:45,520 Speaker 1: course not. They put a warning label on it. Everything 725 00:44:45,520 --> 00:44:49,040 Speaker 1: comes with a possible risk. So they lied to you 726 00:44:49,040 --> 00:44:51,080 Speaker 1: about that, but they've lied to you about something else. 727 00:44:52,040 --> 00:44:55,320 Speaker 1: And we're just beginning to see this here because I 728 00:44:55,360 --> 00:44:58,200 Speaker 1: don't think they're gonna be able to hide it much longer. 729 00:44:59,000 --> 00:45:02,319 Speaker 1: That often happens the press. The media will suppress a 730 00:45:02,400 --> 00:45:05,879 Speaker 1: story and then for political reasons, and then when it's 731 00:45:06,000 --> 00:45:09,239 Speaker 1: no longer possible, then they run out and say, oh, 732 00:45:09,360 --> 00:45:11,080 Speaker 1: we have the story to break for you, because they 733 00:45:11,200 --> 00:45:13,000 Speaker 1: want to just beat their competitors, because they know that 734 00:45:13,040 --> 00:45:15,959 Speaker 1: people are finding out and that someone's going to break 735 00:45:15,960 --> 00:45:17,680 Speaker 1: the story. So then they'll come out of it, but 736 00:45:17,760 --> 00:45:20,120 Speaker 1: they will have already sat on it for a long 737 00:45:20,160 --> 00:45:23,120 Speaker 1: time because they don't want to hurt the narrative. They 738 00:45:23,120 --> 00:45:25,399 Speaker 1: don't want to hurt the Democrat narrative. This is from 739 00:45:25,400 --> 00:45:29,280 Speaker 1: the Associated Press New York's true nursing home death toll 740 00:45:30,360 --> 00:45:36,480 Speaker 1: Cloaked in secrecy. Riverdale Nursing Home in the Bronx appears 741 00:45:36,560 --> 00:45:40,200 Speaker 1: on Paper to have escaped the worst of the coronavirus pandemic, 742 00:45:40,480 --> 00:45:43,040 Speaker 1: with an official state count of just four deaths in 743 00:45:43,040 --> 00:45:45,200 Speaker 1: its one hundred and forty six bed facility. This is 744 00:45:45,200 --> 00:45:48,520 Speaker 1: from this Associated Press piece. The truth, according to the 745 00:45:48,560 --> 00:45:53,040 Speaker 1: home is far worse. Twenty one dead, most transported to 746 00:45:53,160 --> 00:45:58,000 Speaker 1: hospitals before they succumbed. It was a cascading effect. Administrator 747 00:45:58,080 --> 00:46:03,280 Speaker 1: emil fu Fusi recalled one after the other, New York's 748 00:46:03,280 --> 00:46:07,400 Speaker 1: coronavirus death toll in nursing homes, already among the highest 749 00:46:07,400 --> 00:46:13,640 Speaker 1: in the nation, could actually be a significant undercount. Unlike 750 00:46:13,719 --> 00:46:17,400 Speaker 1: every other state with major outbreaks, New York only counts 751 00:46:17,440 --> 00:46:22,320 Speaker 1: residents who died on nursing home property, and not those 752 00:46:22,360 --> 00:46:26,400 Speaker 1: who were transported to hospitals and died there. End quote. 753 00:46:27,760 --> 00:46:31,560 Speaker 1: My friends, this is a big deal because we know 754 00:46:31,760 --> 00:46:35,799 Speaker 1: that there were about five thousand people who died in 755 00:46:36,000 --> 00:46:40,799 Speaker 1: nursing homes from COVID nineteen during the pandemic surge here 756 00:46:40,800 --> 00:46:44,200 Speaker 1: in New York. But what we're now finding out is 757 00:46:44,239 --> 00:46:47,400 Speaker 1: that the number could be a lot higher. Here we go. 758 00:46:47,400 --> 00:46:51,600 Speaker 1: The statistic could add thousands to the state's official care 759 00:46:51,640 --> 00:46:54,120 Speaker 1: home death toll of just over It's over sixty six hundred. 760 00:46:54,120 --> 00:46:57,400 Speaker 1: That's the official number, but so far the administration of 761 00:46:57,480 --> 00:47:01,240 Speaker 1: Democratic Governor Andrew Cuomo has refused to divulge the number, 762 00:47:01,920 --> 00:47:05,279 Speaker 1: leading to speculation the state is manipulating the figures to 763 00:47:05,320 --> 00:47:08,160 Speaker 1: make it appeared is doing better than other states, and 764 00:47:08,280 --> 00:47:12,680 Speaker 1: to make a tragic situation less dire. That's a problem, 765 00:47:12,680 --> 00:47:17,439 Speaker 1: bro says State Senator Gustavo Rivera, a Democrat. He told 766 00:47:17,440 --> 00:47:20,319 Speaker 1: New York Health Commissioner Howard Zucker during a legislative hearing 767 00:47:20,320 --> 00:47:23,440 Speaker 1: on nursing homes earlier this month, it seems, sir, that 768 00:47:23,480 --> 00:47:25,960 Speaker 1: in this case, you are choosing to define it differently 769 00:47:26,440 --> 00:47:29,920 Speaker 1: so that you could look better. Oh you mean they're 770 00:47:29,920 --> 00:47:34,440 Speaker 1: cooking the books, folks. Cuomo already has the worst response, 771 00:47:34,960 --> 00:47:38,440 Speaker 1: the worst response of any governor in the country, in 772 00:47:38,480 --> 00:47:43,759 Speaker 1: the Democrat super stronghold of New York, worst response on 773 00:47:43,800 --> 00:47:47,200 Speaker 1: a global scale, perhaps the worst major city to deal 774 00:47:47,239 --> 00:47:53,120 Speaker 1: with this, and it may be even worse than that. 775 00:47:55,400 --> 00:47:58,480 Speaker 1: Here's the Associated Press piece. How big a difference could 776 00:47:58,480 --> 00:48:03,560 Speaker 1: it make? Its may Federal regulators have required nursing homes 777 00:48:03,560 --> 00:48:07,680 Speaker 1: to submit data on coronavirus debts each week, whether or 778 00:48:07,719 --> 00:48:10,600 Speaker 1: not residents died in the facility or at a hospital. 779 00:48:11,080 --> 00:48:13,800 Speaker 1: Because the requirement came after the height of New York's outbreak, 780 00:48:13,840 --> 00:48:18,520 Speaker 1: the available data is relatively small. According to the federal data, 781 00:48:18,800 --> 00:48:21,720 Speaker 1: roughly a fifth of the state's homes reported resident debts 782 00:48:21,719 --> 00:48:25,080 Speaker 1: from early June to mid July, a tally of three 783 00:48:25,160 --> 00:48:29,080 Speaker 1: hundred and twenty three dead, sixty five percent higher than 784 00:48:29,120 --> 00:48:31,760 Speaker 1: the state's count of one hundred and ninety five during 785 00:48:31,840 --> 00:48:36,200 Speaker 1: that time period. Even if half that undercount has held 786 00:48:36,200 --> 00:48:38,759 Speaker 1: truth from the start of the pandemic, that would translate 787 00:48:38,840 --> 00:48:43,600 Speaker 1: into thousands more nursing home resident debts than the state 788 00:48:43,760 --> 00:48:50,560 Speaker 1: has acknowledged. State Health Department survey show twenty one thousand 789 00:48:51,160 --> 00:48:53,560 Speaker 1: nursing home beds are lying empty this year, which is 790 00:48:53,719 --> 00:48:57,600 Speaker 1: thirteen thousand more than expected, an increase of almost double 791 00:48:57,640 --> 00:49:02,640 Speaker 1: the official state nursing home death tally. Is This is 792 00:49:02,680 --> 00:49:09,200 Speaker 1: an absolute scandal, an absolute scandal, And this wasn't just 793 00:49:09,440 --> 00:49:14,880 Speaker 1: a thing that happened. Cuomo made the decision. He decided 794 00:49:14,960 --> 00:49:17,240 Speaker 1: he was in a position. He's taken all this authority. 795 00:49:17,320 --> 00:49:19,799 Speaker 1: He has the authority to shut down your business on 796 00:49:19,920 --> 00:49:22,480 Speaker 1: a whim as long as he wants. He also had 797 00:49:22,520 --> 00:49:26,040 Speaker 1: the authority to do this and he did. He said, 798 00:49:26,120 --> 00:49:31,920 Speaker 1: you must take back COVID positive seniors into the nursing 799 00:49:32,000 --> 00:49:35,879 Speaker 1: home as soon as the hospital is ready to release them. So, 800 00:49:35,920 --> 00:49:38,400 Speaker 1: if you're a COVID positive senior and you don't have 801 00:49:38,480 --> 00:49:40,400 Speaker 1: to be on a ventilator, and they're saying that they 802 00:49:40,440 --> 00:49:44,960 Speaker 1: want to send you home, there's no quarantining really in 803 00:49:44,960 --> 00:49:47,319 Speaker 1: a nursing home. Right, You're sending somebody into us, into 804 00:49:47,360 --> 00:49:51,439 Speaker 1: a facility where they're going to be around other munocompromise 805 00:49:51,560 --> 00:49:54,200 Speaker 1: people because of their age and often because of comorbid 806 00:49:54,239 --> 00:49:58,320 Speaker 1: health conditions. This was if you were trying to seed 807 00:49:58,480 --> 00:50:01,320 Speaker 1: the pandemic in a way that there was a maximum 808 00:50:01,360 --> 00:50:05,960 Speaker 1: fatality level. This was a good policy if you were 809 00:50:06,080 --> 00:50:09,280 Speaker 1: trying to make this as fatal a disease as possible 810 00:50:09,320 --> 00:50:13,160 Speaker 1: for your state. As a governor, Cuomo came up with 811 00:50:13,280 --> 00:50:18,080 Speaker 1: an ingenious plan. How could how could anybody have? Oh 812 00:50:18,120 --> 00:50:20,160 Speaker 1: it's because he was so convinced the hospitals were going 813 00:50:20,200 --> 00:50:23,400 Speaker 1: to be overrun. He was wrong, and so he made 814 00:50:23,719 --> 00:50:27,080 Speaker 1: a really bad decision. Now, I don't think that Cuomo 815 00:50:27,239 --> 00:50:30,080 Speaker 1: wanted this to happen. I'm not saying he's a you know, 816 00:50:30,160 --> 00:50:33,160 Speaker 1: a mass murderer. I'm not saying that he's They'll say 817 00:50:33,160 --> 00:50:35,200 Speaker 1: that about Trump, of course, but I'm not saying no. 818 00:50:35,320 --> 00:50:39,680 Speaker 1: But he's an incompetent, he's a moron. When when the 819 00:50:40,280 --> 00:50:42,480 Speaker 1: when the chips were all down, when when all of 820 00:50:42,560 --> 00:50:45,560 Speaker 1: a sudden it was really important who the governor of 821 00:50:45,600 --> 00:50:51,040 Speaker 1: New York was. This guy failed miserably and was way 822 00:50:51,080 --> 00:50:55,080 Speaker 1: too busy worrying about the optics and doing the press conference, 823 00:50:55,160 --> 00:50:56,880 Speaker 1: and people were talking about how he could run for 824 00:50:56,920 --> 00:51:00,839 Speaker 1: president as a Democrat. Remember that there were Cuomo There 825 00:51:00,840 --> 00:51:03,759 Speaker 1: were people calling himselves Cuomo sexuals because he was so 826 00:51:03,800 --> 00:51:06,960 Speaker 1: appealing in his press conferences. He was going on CNN 827 00:51:07,000 --> 00:51:11,839 Speaker 1: with his joke brother at night. People were dying. And 828 00:51:11,960 --> 00:51:17,120 Speaker 1: now they have the goal to lecture others. That to 829 00:51:17,200 --> 00:51:22,120 Speaker 1: lecture other people, other states, other governors. Cuomo acts like, oh, 830 00:51:22,200 --> 00:51:25,520 Speaker 1: it's just a big mask wearing campaign. Would have saved 831 00:51:25,600 --> 00:51:29,960 Speaker 1: us all, you know, would have saved a few thousand, 832 00:51:30,200 --> 00:51:34,000 Speaker 1: maybe thousands and thousands more than that senior citizen lives 833 00:51:34,000 --> 00:51:37,440 Speaker 1: in New York. Not having Andrew Cuomo as the governor 834 00:51:37,440 --> 00:51:40,760 Speaker 1: of New York. That would have saved thousands and thousands 835 00:51:40,760 --> 00:51:44,239 Speaker 1: of lives. Instead of panicking about the lack of ventilators 836 00:51:44,239 --> 00:51:46,760 Speaker 1: that we didn't need. Instead of panicking all the people 837 00:51:46,800 --> 00:51:50,040 Speaker 1: of New York, we could have had somebody like oh, 838 00:51:50,080 --> 00:51:52,520 Speaker 1: I don't know, Governor Ron de Santis of Florida, who 839 00:51:52,560 --> 00:51:54,600 Speaker 1: looked at the data and looked at what was happening 840 00:51:54,680 --> 00:51:59,560 Speaker 1: and made sound decisions, not based upon control, fear and 841 00:51:59,640 --> 00:52:04,680 Speaker 1: the politics of the left. You're in the freedom und 842 00:52:05,120 --> 00:52:12,279 Speaker 1: This is the Buck Sex and Show podcast. An unnerving 843 00:52:12,520 --> 00:52:14,839 Speaker 1: moment yesterday. I was watching it in real time as 844 00:52:14,880 --> 00:52:19,240 Speaker 1: it happened. President Trump was giving a press conference and 845 00:52:19,400 --> 00:52:22,239 Speaker 1: there was a moment where a Secret Service agent came 846 00:52:22,280 --> 00:52:25,239 Speaker 1: out during the press conference in the West Wig and 847 00:52:25,360 --> 00:52:28,600 Speaker 1: he says, miss President needs to come with me. And 848 00:52:28,880 --> 00:52:33,359 Speaker 1: there were reports early reports of gunfire outside of the 849 00:52:33,400 --> 00:52:36,000 Speaker 1: White House, and there was a moment where people were 850 00:52:36,520 --> 00:52:41,680 Speaker 1: understandably very concerned. And then President Trump came back finished 851 00:52:41,680 --> 00:52:43,520 Speaker 1: at the press conference. But I thought this was this 852 00:52:43,560 --> 00:52:46,920 Speaker 1: was one of his one of his truly Trumpian moments 853 00:52:47,800 --> 00:52:50,880 Speaker 1: where he was asked if well, I'll let you hear 854 00:52:50,920 --> 00:52:56,560 Speaker 1: the exchange play clip one. Do I see him rattled? 855 00:52:57,080 --> 00:53:01,480 Speaker 1: It's unfortunate that this is a world, but the world's 856 00:53:01,480 --> 00:53:06,320 Speaker 1: always been a dangerous place, but it's not something that's unique. 857 00:53:06,719 --> 00:53:10,440 Speaker 1: The world has been. You look back over the centuries, 858 00:53:10,480 --> 00:53:13,440 Speaker 1: the world has been a dangerous place, very dangerous place, 859 00:53:13,480 --> 00:53:17,279 Speaker 1: and it will continue, I guess for a period of time. 860 00:53:19,400 --> 00:53:22,200 Speaker 1: Differently about your personal safety inside the White House, No, 861 00:53:22,320 --> 00:53:26,120 Speaker 1: I feel very safe with the Secret Service. They're fantastic people. 862 00:53:26,400 --> 00:53:30,040 Speaker 1: They're the best of the best, and they're highly trained. 863 00:53:31,440 --> 00:53:33,799 Speaker 1: I don't know if anybody got to walk outside, but 864 00:53:34,600 --> 00:53:39,520 Speaker 1: there were a lot of terrific looking people ready to 865 00:53:39,560 --> 00:53:43,640 Speaker 1: go if something was necessary. Does this make you scared, sir? 866 00:53:43,719 --> 00:53:45,319 Speaker 1: Can you just say for the record that you're really 867 00:53:45,320 --> 00:53:47,200 Speaker 1: scared and that you're a whim because that'll be a 868 00:53:47,239 --> 00:53:48,880 Speaker 1: great sound bite for us. Can you just tell us 869 00:53:48,880 --> 00:53:52,080 Speaker 1: that a Trump's like you min? What do I see him? Ronald? 870 00:53:52,600 --> 00:53:57,279 Speaker 1: Come on, come on. That's that's one of those that's 871 00:53:57,280 --> 00:54:00,680 Speaker 1: one of those moments though, where you were just you know, 872 00:54:01,400 --> 00:54:07,680 Speaker 1: American politics has gotten so heated right now that we 873 00:54:07,960 --> 00:54:11,240 Speaker 1: I hope we get through this whole election cycle without 874 00:54:11,440 --> 00:54:17,000 Speaker 1: a politically motivated tragedy on all sides against any side. 875 00:54:17,040 --> 00:54:20,120 Speaker 1: I really do. I'm you know, last time I told 876 00:54:20,160 --> 00:54:21,799 Speaker 1: you that that there was that I had a bad 877 00:54:21,840 --> 00:54:25,480 Speaker 1: feeling about something. It was in roughly November that something 878 00:54:25,480 --> 00:54:27,200 Speaker 1: bad was gonna You remember this, I played if You're 879 00:54:27,200 --> 00:54:29,040 Speaker 1: in the show right before we went into the pandemic. 880 00:54:29,080 --> 00:54:31,319 Speaker 1: I'm like, guys, it's been great. Something bad's gonna happen 881 00:54:31,960 --> 00:54:33,840 Speaker 1: were I don't think it's going to involve President Trump, 882 00:54:33,840 --> 00:54:35,759 Speaker 1: and God bless him and keep him safe. But I 883 00:54:36,000 --> 00:54:39,000 Speaker 1: worry that there's gonna be some act of political violence 884 00:54:39,040 --> 00:54:42,640 Speaker 1: before this election that's going to really combust everything. Thanks 885 00:54:42,640 --> 00:54:47,560 Speaker 1: for listening to the past. Remember to subscribe on Apple podcasts, 886 00:54:47,760 --> 00:54:50,959 Speaker 1: the iHeart Radio app, or wherever you get your podcasts. 887 00:54:52,080 --> 00:54:55,879 Speaker 1: Election meddling. We're gonna be talking a lot about this. 888 00:54:56,920 --> 00:55:02,640 Speaker 1: You know what, the the real, the real definition of 889 00:55:02,680 --> 00:55:07,359 Speaker 1: election meddling is for Democrats, we lost. We lost. If 890 00:55:07,400 --> 00:55:11,160 Speaker 1: they lose, there's meddling. If they win, what meddling? Come on, 891 00:55:11,280 --> 00:55:14,400 Speaker 1: what meddling? I like the Trump goes on offense on 892 00:55:14,440 --> 00:55:17,000 Speaker 1: this point, doesn't play the usual Republican game of no, 893 00:55:17,000 --> 00:55:19,600 Speaker 1: no please. I'm a good person, I'm in I'm acting 894 00:55:19,640 --> 00:55:21,759 Speaker 1: in good faith. Don't think that I'm one of the 895 00:55:21,800 --> 00:55:26,399 Speaker 1: bad guys. I prefer the Trump approach, which is to say, 896 00:55:26,600 --> 00:55:28,759 Speaker 1: come on, well, you know what what is you know 897 00:55:28,800 --> 00:55:31,959 Speaker 1: you know who's really meddling. You're meddling play cloop two. Well, 898 00:55:32,000 --> 00:55:34,239 Speaker 1: I'm just saying the way the politicians look. The other 899 00:55:34,320 --> 00:55:37,279 Speaker 1: day they said the three countries, They said China, then 900 00:55:37,360 --> 00:55:40,080 Speaker 1: Russia and Iran, and some reporter got up and said, 901 00:55:40,480 --> 00:55:43,480 Speaker 1: Russia is meddling. I said, well, didn't it mention China 902 00:55:43,520 --> 00:55:47,080 Speaker 1: and Iran? Why didn't you mention them too? So so 903 00:55:47,160 --> 00:55:48,759 Speaker 1: I don't know. You know what I'm telling you. I'll 904 00:55:48,760 --> 00:55:52,359 Speaker 1: tell you who's meddling in our elections. The Democrats are 905 00:55:52,400 --> 00:55:56,120 Speaker 1: meddling by wanting and insisting on sending mail in ballots, 906 00:55:56,520 --> 00:55:58,839 Speaker 1: with this corruption all over the place. If you check 907 00:55:59,320 --> 00:56:02,399 Speaker 1: what happened to New York, a small, relatively small race 908 00:56:02,880 --> 00:56:06,000 Speaker 1: with Carolyn Maloney, and they called her the winner the 909 00:56:06,040 --> 00:56:09,040 Speaker 1: other day because I was mentioning it at conferences and 910 00:56:09,120 --> 00:56:12,879 Speaker 1: getting a lot of action on that statement, so they 911 00:56:12,920 --> 00:56:15,719 Speaker 1: called her. They declared her the winner, and they have 912 00:56:15,800 --> 00:56:18,600 Speaker 1: no idea who won, and the person her opponent is 913 00:56:18,680 --> 00:56:22,120 Speaker 1: very angry. But they had mail in voting, and they 914 00:56:22,120 --> 00:56:25,319 Speaker 1: had hundreds and I think even thousands of ballots set 915 00:56:25,360 --> 00:56:28,920 Speaker 1: are missing that were fraudulent. Take a look at the 916 00:56:28,960 --> 00:56:32,560 Speaker 1: Carol and Maloney race. Take a look at Patterson, New Jersey. 917 00:56:32,880 --> 00:56:35,160 Speaker 1: Take a look now at this one in Virginia where 918 00:56:35,160 --> 00:56:39,440 Speaker 1: they mailed out five hundred thousand applications and they go 919 00:56:39,480 --> 00:56:43,120 Speaker 1: into people that aren't supposed to be getting an application. 920 00:56:43,600 --> 00:56:45,400 Speaker 1: Democrat are the ones that want to play games at 921 00:56:45,440 --> 00:56:48,840 Speaker 1: the election. You know, they just had a CDC study 922 00:56:48,880 --> 00:56:51,719 Speaker 1: that came out. Remember the CDC supposed to listen to 923 00:56:51,760 --> 00:56:54,920 Speaker 1: the CDC all the time, not to listen to the CDC, 924 00:56:55,120 --> 00:56:57,399 Speaker 1: not not allowed to ask any questions if you listen 925 00:56:57,400 --> 00:56:59,280 Speaker 1: to Democrats, and not allow to ask any questions about 926 00:56:59,320 --> 00:57:03,160 Speaker 1: the CDC. Just had a study come out, No increase 927 00:57:03,239 --> 00:57:10,120 Speaker 1: in cases resulting from the No increasing cases resulting in 928 00:57:10,239 --> 00:57:15,160 Speaker 1: from the voting in Wisconsin. So people were able to vote. 929 00:57:15,719 --> 00:57:17,000 Speaker 1: They didn't get all You don't you know why that 930 00:57:17,040 --> 00:57:19,960 Speaker 1: happened because they were outside. They kept a little bit 931 00:57:20,000 --> 00:57:21,840 Speaker 1: of a distance from each other. They probably were wearing 932 00:57:21,880 --> 00:57:26,000 Speaker 1: masks two whatever, for whatever that's worth. And it was fine. 933 00:57:26,400 --> 00:57:28,960 Speaker 1: It was fine. We've seen the data is very clear. 934 00:57:29,480 --> 00:57:35,120 Speaker 1: Long close indoors exposure is the primary way this gets transmitted. 935 00:57:35,960 --> 00:57:39,120 Speaker 1: Long close indoor exposure. So all you have to do 936 00:57:39,240 --> 00:57:44,560 Speaker 1: with voting is have people stagger in line stagger going in, 937 00:57:45,240 --> 00:57:49,360 Speaker 1: no problem, no problem, Well what are Democrats even talking about? Oh, 938 00:57:49,480 --> 00:57:52,360 Speaker 1: we can't we get No. They just want they just 939 00:57:53,640 --> 00:57:55,640 Speaker 1: want to find a way to change the rules to 940 00:57:55,720 --> 00:57:58,640 Speaker 1: suit their needs and to set up a narrative in 941 00:57:58,680 --> 00:58:02,320 Speaker 1: advance of the actual asking of votes, so that anybody 942 00:58:02,360 --> 00:58:06,320 Speaker 1: who's anybody who wants to if the Democrats lose afterwards, 943 00:58:06,360 --> 00:58:09,600 Speaker 1: will be in a position to say, you know what, Yeah, 944 00:58:09,880 --> 00:58:13,800 Speaker 1: the Republicans cheated because we lost because we didn't have 945 00:58:13,920 --> 00:58:15,840 Speaker 1: enough or we had too much mail in voting, which 946 00:58:15,880 --> 00:58:18,360 Speaker 1: it doesn't matter. Whichever way they need to go, they'll go. 947 00:58:19,640 --> 00:58:23,560 Speaker 1: But election meddling has become a talking point you'll hear 948 00:58:23,600 --> 00:58:27,280 Speaker 1: from Democrats. This is hedging, it's hedging. It also goes 949 00:58:27,320 --> 00:58:30,880 Speaker 1: to this this anxiety that the Libs still have because 950 00:58:30,880 --> 00:58:33,720 Speaker 1: they believe that Russia gave Trump the last election. They 951 00:58:33,760 --> 00:58:37,520 Speaker 1: still cling to that fiction. That fantasy is something that 952 00:58:37,560 --> 00:58:43,240 Speaker 1: they have not yet given up on. They still believe that, 953 00:58:43,800 --> 00:58:48,640 Speaker 1: and so they're they're very on edge about the possibility, 954 00:58:48,640 --> 00:58:54,880 Speaker 1: about the prospect of that happening again, very on edge, right, 955 00:58:54,920 --> 00:59:03,680 Speaker 1: They're like, oh my gosh, there's gonna be election interference. Election. Well, okay, 956 00:59:04,680 --> 00:59:07,440 Speaker 1: what about election interference from China, from Iran, from and 957 00:59:07,600 --> 00:59:13,440 Speaker 1: what constitutes enough election interference that the election should be 958 00:59:13,880 --> 00:59:16,280 Speaker 1: considered or you know, call them into doubt in some way, 959 00:59:16,640 --> 00:59:18,959 Speaker 1: You know what, what's the rule on that how much? 960 00:59:20,080 --> 00:59:22,400 Speaker 1: How much interference is enough that we have to be 961 00:59:22,400 --> 00:59:25,160 Speaker 1: Because in the last election it was what Russian spending 962 00:59:25,160 --> 00:59:29,040 Speaker 1: one hundred thousand dollars on Facebook ads, which is a 963 00:59:29,240 --> 00:59:33,640 Speaker 1: drop in the bucket a Facebook ad spending, Is that 964 00:59:33,640 --> 00:59:35,560 Speaker 1: that what we're supposed to believe was enough to do well? 965 00:59:35,640 --> 00:59:37,800 Speaker 1: There are libs who still believe. Remember when CNN would 966 00:59:37,840 --> 00:59:41,520 Speaker 1: go and harass private citizens because they were a part 967 00:59:41,560 --> 00:59:44,040 Speaker 1: of a Facebook group that was they say, organized by 968 00:59:44,120 --> 00:59:48,160 Speaker 1: Russian trolls or something. They'd show up the people. You know, oh, 969 00:59:48,240 --> 00:59:50,440 Speaker 1: do you realize that the Russians were convincing you of 970 00:59:50,440 --> 00:59:53,080 Speaker 1: who to vote for? There were the whole fake news 971 00:59:53,120 --> 00:59:58,400 Speaker 1: phenomenon started. The idea of fake news was Lib Democrat 972 00:59:58,600 --> 01:00:02,280 Speaker 1: media going around saying that the only reason people wanted 973 01:00:02,320 --> 01:00:04,800 Speaker 1: to vote for Trump was because they believe these Russian 974 01:00:04,840 --> 01:00:08,760 Speaker 1: disinformation articles online because they were believing fake news. That's 975 01:00:08,760 --> 01:00:11,560 Speaker 1: how the fake they started fake news, and then Trump 976 01:00:12,120 --> 01:00:16,720 Speaker 1: in his Trumpian Jiu jitsu way flip them around flat 977 01:00:16,720 --> 01:00:19,280 Speaker 1: on their backs, and was like, actually, your fake news 978 01:00:20,200 --> 01:00:22,600 Speaker 1: because you're propaganda organs. The LIB media is a bunch 979 01:00:22,600 --> 01:00:27,520 Speaker 1: of propaganda organs pretending to be news organizations. But you 980 01:00:27,600 --> 01:00:32,720 Speaker 1: know who is weighing in now on election interference, which 981 01:00:32,760 --> 01:00:36,760 Speaker 1: tells you a lot about what we should expect. Here Hillary, 982 01:00:37,000 --> 01:00:39,000 Speaker 1: I'm not really as good at the Hillary voice anymore. 983 01:00:39,040 --> 01:00:41,200 Speaker 1: It's gotten hard to do it. But here she is 984 01:00:41,280 --> 01:00:43,560 Speaker 1: telling you all, she's oh, oh, I just want to 985 01:00:43,560 --> 01:00:46,720 Speaker 1: say this. Do we think that she's ready to be VP? 986 01:00:46,920 --> 01:00:48,920 Speaker 1: If Biden were to just happen to call upon her, 987 01:00:48,960 --> 01:00:51,080 Speaker 1: I mean, you know, she could maybe find some time 988 01:00:51,080 --> 01:00:54,360 Speaker 1: in her schedule. I don't think he will do it. 989 01:00:55,080 --> 01:00:58,720 Speaker 1: I don't believe it's going to happen, but I think 990 01:00:58,840 --> 01:01:01,320 Speaker 1: Hillary thinks that it's still Could I really do? I 991 01:01:01,400 --> 01:01:04,440 Speaker 1: think that she is so there is a hole in 992 01:01:04,480 --> 01:01:07,640 Speaker 1: her soul that will only be filled by being president, 993 01:01:07,960 --> 01:01:09,840 Speaker 1: and she knows now the only way she could ever 994 01:01:09,880 --> 01:01:12,560 Speaker 1: become president is to be a pointed vice president. It 995 01:01:12,560 --> 01:01:15,200 Speaker 1: would be quite a move. It would certainly shake things up. 996 01:01:15,200 --> 01:01:17,560 Speaker 1: Could you imagine if I think the VP pick is 997 01:01:17,560 --> 01:01:19,000 Speaker 1: and we're going to talk about that in a minute. 998 01:01:19,080 --> 01:01:21,120 Speaker 1: I think it's getting all this attention and that people. 999 01:01:21,200 --> 01:01:25,000 Speaker 1: Ultimately I don't really care all that much, but it's 1000 01:01:25,160 --> 01:01:30,440 Speaker 1: certainly certainly could be if it were Hillary. I know, 1001 01:01:30,560 --> 01:01:33,680 Speaker 1: I just wanted to hello. I want her to come 1002 01:01:33,720 --> 01:01:35,800 Speaker 1: back and be in the mix again, just because it's 1003 01:01:35,800 --> 01:01:37,880 Speaker 1: so much fun for me as a commentator. Play clip 1004 01:01:37,920 --> 01:01:40,720 Speaker 1: twenty one though. Here she is on election interference. I 1005 01:01:40,760 --> 01:01:44,800 Speaker 1: hope the press covers the vulnerabilities of our election systems 1006 01:01:44,880 --> 01:01:48,400 Speaker 1: to interference, something that we now know more about than 1007 01:01:48,440 --> 01:01:52,640 Speaker 1: we did right after twenty sixteen. I hope that even 1008 01:01:53,000 --> 01:01:59,320 Speaker 1: Republicans will find their patriotism their conscience, try to force 1009 01:01:59,400 --> 01:02:03,680 Speaker 1: some of the pacified information into the public arena so 1010 01:02:03,760 --> 01:02:07,080 Speaker 1: that people have a better idea about what's going on. 1011 01:02:07,560 --> 01:02:10,480 Speaker 1: And of course, the Biden campaign and all of the 1012 01:02:10,720 --> 01:02:15,240 Speaker 1: allies it has have to be as vigorous as possible 1013 01:02:15,360 --> 01:02:20,960 Speaker 1: in refuting and rebutting all of the disinformation and flat 1014 01:02:20,960 --> 01:02:24,840 Speaker 1: out wise that we can expect the Russians to be 1015 01:02:24,920 --> 01:02:30,520 Speaker 1: part of ramping up. She's still fixated on this. The 1016 01:02:30,840 --> 01:02:36,400 Speaker 1: Democrats are still very deeply rooted in this delusion that 1017 01:02:36,880 --> 01:02:40,200 Speaker 1: Russians are able to control American political discourse on Facebook 1018 01:02:41,680 --> 01:02:44,680 Speaker 1: is this is sheer madness. This would be like me 1019 01:02:44,960 --> 01:02:47,520 Speaker 1: investing one hundred dollars in the stock market and then 1020 01:02:47,600 --> 01:02:51,120 Speaker 1: claiming that I'm like, I'm making markets happen, and I'm 1021 01:02:51,280 --> 01:02:56,360 Speaker 1: I'm shifting the stock price. I'm involved, But it's irrelevant. 1022 01:02:57,000 --> 01:03:04,320 Speaker 1: It's irrelevant. It is an unserious position that Russian propaganda 1023 01:03:04,400 --> 01:03:08,840 Speaker 1: on Facebook against the Democrats or against Hillary is shifting 1024 01:03:08,840 --> 01:03:11,720 Speaker 1: the election one way or the other. Un serious. And 1025 01:03:11,800 --> 01:03:13,360 Speaker 1: it's kind of the way that I also think about 1026 01:03:13,400 --> 01:03:16,200 Speaker 1: when people complain about reps in a very close game, 1027 01:03:16,560 --> 01:03:19,680 Speaker 1: there are some who will say, you know, look, if 1028 01:03:19,680 --> 01:03:21,160 Speaker 1: you were if you were good enough to beat the 1029 01:03:21,160 --> 01:03:23,560 Speaker 1: team without having it, without having it come down to 1030 01:03:23,680 --> 01:03:26,720 Speaker 1: one call, you would have won, right, you know. I 1031 01:03:26,760 --> 01:03:29,560 Speaker 1: mean this is now. I'm not saying that that excuses 1032 01:03:29,600 --> 01:03:32,480 Speaker 1: election interference, but I'm just saying, if it's really that 1033 01:03:32,640 --> 01:03:35,440 Speaker 1: narrow that it's gonna be ten people that read something 1034 01:03:35,480 --> 01:03:38,320 Speaker 1: on Facebook, maybe you shouldn't have been president, you know, 1035 01:03:38,320 --> 01:03:39,880 Speaker 1: maybe it didn't deserve to win that one. I don't 1036 01:03:39,880 --> 01:03:44,040 Speaker 1: know what to tell you, but Hillary will never ever 1037 01:03:44,200 --> 01:03:47,960 Speaker 1: give this one up because it's essential. It is essential 1038 01:03:48,360 --> 01:03:52,600 Speaker 1: to the Democrat mythology. About why Donald Trump became president 1039 01:03:52,600 --> 01:03:56,040 Speaker 1: in the first place. And then there's just the really 1040 01:03:56,560 --> 01:03:59,680 Speaker 1: deeply stupid stuff that will be said about all of this. 1041 01:04:00,800 --> 01:04:04,040 Speaker 1: And if you're looking for commentary under the guise of 1042 01:04:04,160 --> 01:04:09,439 Speaker 1: news that is shockingly dumb, you can't do a whole 1043 01:04:09,480 --> 01:04:13,680 Speaker 1: lot better than CNN. We all have news anchors. Im 1044 01:04:13,760 --> 01:04:16,040 Speaker 1: Jim Acostas perhaps the best example of this, but news 1045 01:04:16,080 --> 01:04:18,360 Speaker 1: anchors will come out and say things. You say, Wow, 1046 01:04:18,600 --> 01:04:20,760 Speaker 1: have you ever read a book from start to finish? 1047 01:04:20,840 --> 01:04:23,800 Speaker 1: I mean ever? But no, No, I'm up there and 1048 01:04:23,800 --> 01:04:25,840 Speaker 1: I've got a lot of hairsprayed, I'm very I've got 1049 01:04:25,880 --> 01:04:27,800 Speaker 1: a serious sounding voice, and I've got a microphone in 1050 01:04:27,880 --> 01:04:30,400 Speaker 1: my hand, and people should listen to me. Sure, sure 1051 01:04:30,480 --> 01:04:33,760 Speaker 1: they should. Yeah, my Coosto and all these other all 1052 01:04:33,760 --> 01:04:37,160 Speaker 1: these other jokers too. It's amazing. It's amazing that people 1053 01:04:37,200 --> 01:04:39,120 Speaker 1: still believe this stuff. A lot of the dumbest people 1054 01:04:39,160 --> 01:04:40,560 Speaker 1: I know are in the news media, I'm just gonna 1055 01:04:40,600 --> 01:04:44,960 Speaker 1: tell you, and I know them morons, But people still say, oh, 1056 01:04:45,000 --> 01:04:47,800 Speaker 1: they turn it on, Oh they must be smart, they 1057 01:04:47,880 --> 01:04:49,560 Speaker 1: must be smart. One of the reasons I love radio 1058 01:04:49,640 --> 01:04:52,800 Speaker 1: so much is that this is too hard for ninety 1059 01:04:53,040 --> 01:04:56,400 Speaker 1: percent of the people in journalism to do maybe ninety 1060 01:04:56,440 --> 01:04:58,600 Speaker 1: five percent. They just can't. They could never carrying a 1061 01:04:58,680 --> 01:05:01,240 Speaker 1: three hour show, never mind five hours with what I do. 1062 01:05:01,400 --> 01:05:05,600 Speaker 1: Carrying a three hour show every day, unscripted, without someone 1063 01:05:05,640 --> 01:05:08,280 Speaker 1: feeding everything into your ear, without reading off of a prompter, 1064 01:05:08,600 --> 01:05:11,640 Speaker 1: where it's just you, your thoughts, your knowledge, your presentation, 1065 01:05:12,040 --> 01:05:13,920 Speaker 1: no chance they could ever do it. A lot of 1066 01:05:13,920 --> 01:05:16,040 Speaker 1: people can put on a suit, look pretty and say hello, 1067 01:05:16,240 --> 01:05:19,760 Speaker 1: I'm here and I'm reading off of a prompter. As 1068 01:05:19,800 --> 01:05:22,080 Speaker 1: you can tell, I have no respected off for CNN. 1069 01:05:22,560 --> 01:05:26,560 Speaker 1: But here's CNN's Jeremy Diamond doing a little bit of 1070 01:05:26,560 --> 01:05:30,120 Speaker 1: analysis on the possibility of Trump giving a speech for 1071 01:05:30,160 --> 01:05:33,840 Speaker 1: the acceptance of the Republican nomination at a place that 1072 01:05:35,040 --> 01:05:37,919 Speaker 1: Jeremy Diamond has some thoughts on the significance of play 1073 01:05:37,920 --> 01:05:40,720 Speaker 1: three and Pam. We've reported that President Trump is considering 1074 01:05:40,760 --> 01:05:44,040 Speaker 1: delivering his GOP nomination acceptance speech from the White House, 1075 01:05:44,040 --> 01:05:47,120 Speaker 1: but amid some criticism of that potential venue, the President 1076 01:05:47,200 --> 01:05:49,920 Speaker 1: is now floating another one. This time he's talking about 1077 01:05:49,920 --> 01:05:53,720 Speaker 1: the hallowed Civil War battlefield in Gettysburg, Pennsylvania. But that 1078 01:05:53,720 --> 01:05:56,520 Speaker 1: could be controversial too, particularly because this is a president 1079 01:05:56,560 --> 01:05:59,960 Speaker 1: who has consistently positioned himself as a defender of confeder 1080 01:06:00,120 --> 01:06:03,520 Speaker 1: its symbols and monuments to Confederate generals Pam. Yeah, that's 1081 01:06:03,560 --> 01:06:06,640 Speaker 1: a fair point to make. Yeah, that's a fair All, Yeah, 1082 01:06:06,680 --> 01:06:10,320 Speaker 1: that's a fair No, it's not you morons. Do you 1083 01:06:10,440 --> 01:06:13,280 Speaker 1: know what happened at the Battle of Gettysburg. I just 1084 01:06:13,440 --> 01:06:17,400 Speaker 1: you know, just somebody, I'm just anybody, anybody want to 1085 01:06:17,480 --> 01:06:22,800 Speaker 1: you know who? Unbelievable This should be like saying, oh, 1086 01:06:22,800 --> 01:06:27,280 Speaker 1: he's commemorating the successful landing and on D Day, clearly 1087 01:06:27,280 --> 01:06:33,040 Speaker 1: a Nazi sympathizer. No, no, we won that one Gettysburg. 1088 01:06:33,120 --> 01:06:34,800 Speaker 1: As you all know. I don't have to get into it, right, 1089 01:06:34,800 --> 01:06:38,080 Speaker 1: I mean, the Union turned back the Confederacy was a 1090 01:06:38,160 --> 01:06:42,120 Speaker 1: turning tide, turning the tide of the war. And so 1091 01:06:42,160 --> 01:06:44,280 Speaker 1: if you give a speech at Gettysburg, the hollow ground 1092 01:06:44,280 --> 01:06:47,880 Speaker 1: of Gettysburg, that's a problem because you because of your 1093 01:06:47,880 --> 01:06:51,640 Speaker 1: support for the Confederacy. That's a that's a really strange 1094 01:06:51,680 --> 01:06:57,040 Speaker 1: way to celebrate support for the Confederacy. But there's there's 1095 01:06:57,120 --> 01:06:59,919 Speaker 1: no limit to the stupid at CNN. It doesn't matter 1096 01:07:00,000 --> 01:07:02,200 Speaker 1: because it was anti Trump, it was all. There are 1097 01:07:02,280 --> 01:07:04,680 Speaker 1: questions about this. You know he likes the Confederacy, and 1098 01:07:04,680 --> 01:07:07,000 Speaker 1: he's a bad guy, and he's a white nationalist. Whatever 1099 01:07:07,040 --> 01:07:09,040 Speaker 1: you have to say, they just say, it doesn't matter 1100 01:07:09,080 --> 01:07:12,760 Speaker 1: if it's true or not. They have an agenda, my friends, 1101 01:07:13,160 --> 01:07:15,240 Speaker 1: and as long as they stick to that agenda, the 1102 01:07:15,360 --> 01:07:17,000 Speaker 1: Libs will always back them up. And they know it. 1103 01:07:19,600 --> 01:07:22,560 Speaker 1: You're in the freedom hud. This is the Buck Sexton 1104 01:07:22,640 --> 01:07:30,840 Speaker 1: Show podcast. Any day now, any day now, there's gonna 1105 01:07:30,880 --> 01:07:35,840 Speaker 1: be a Biden VP pick. That's what we're called. Who 1106 01:07:36,520 --> 01:07:42,240 Speaker 1: get excited a Biden VP pick. Representative Maxine Waters waited 1107 01:07:42,360 --> 01:07:45,280 Speaker 1: on this one. Here's what she says, Play eight. I 1108 01:07:45,360 --> 01:07:49,520 Speaker 1: don't know exactly whom it's going to be. I know 1109 01:07:49,760 --> 01:07:53,280 Speaker 1: whom I would prefer, but I don't think that whom 1110 01:07:53,360 --> 01:07:56,200 Speaker 1: I would prefer has anything to do with who he's 1111 01:07:56,240 --> 01:07:59,960 Speaker 1: going to select. But obviously, as they have gone through 1112 01:08:00,640 --> 01:08:04,920 Speaker 1: all of the women, black, white, Asian, what have you, 1113 01:08:06,000 --> 01:08:09,360 Speaker 1: it seems to me they have gotten down to possibly 1114 01:08:09,440 --> 01:08:14,120 Speaker 1: just two, and that is Kamala and that is Susan, 1115 01:08:14,440 --> 01:08:17,519 Speaker 1: and so I believe that it will be one of them. 1116 01:08:17,760 --> 01:08:20,040 Speaker 1: I do have a preference. I'm not going to say 1117 01:08:20,080 --> 01:08:22,600 Speaker 1: who it is at this point, but I think my 1118 01:08:22,720 --> 01:08:25,480 Speaker 1: preference is going to be the one that will be selected. 1119 01:08:25,880 --> 01:08:27,320 Speaker 1: I gotta say the first time, I think in a 1120 01:08:27,360 --> 01:08:30,000 Speaker 1: long time, we've played a Maxium Waters clip where I 1121 01:08:31,640 --> 01:08:33,680 Speaker 1: don't have any problem with anything that she said, right, 1122 01:08:34,240 --> 01:08:36,439 Speaker 1: I think, I think I think she's right. I think 1123 01:08:36,479 --> 01:08:39,719 Speaker 1: that Kamala Harris and Susan Rice are the last two 1124 01:08:39,800 --> 01:08:43,719 Speaker 1: in the race here. And I think that I've told 1125 01:08:43,720 --> 01:08:46,000 Speaker 1: you on air, I've been making the prediction all along. 1126 01:08:46,040 --> 01:08:47,679 Speaker 1: There's a fun prediction because of the I'm wrong. Nobody 1127 01:08:47,720 --> 01:08:49,439 Speaker 1: cares if I'm right. I get to pat myself on 1128 01:08:49,479 --> 01:08:52,200 Speaker 1: the back, which none of you will care about either, 1129 01:08:52,439 --> 01:08:54,479 Speaker 1: because we had that kind of relationship team where you know, 1130 01:08:54,640 --> 01:08:56,360 Speaker 1: I when I do a victory dance, st't wory. Producer 1131 01:08:56,360 --> 01:08:58,880 Speaker 1: Mark tells me afterwards that my head's getting big and 1132 01:08:58,920 --> 01:09:01,040 Speaker 1: I can't fit through the door. And I know you 1133 01:09:01,120 --> 01:09:02,519 Speaker 1: all like, come on, Buck, we don't come to you 1134 01:09:02,560 --> 01:09:06,200 Speaker 1: for your predictions anyway. But although my prediction about the pandemic, 1135 01:09:06,280 --> 01:09:07,840 Speaker 1: not that I said it was a pandemic, but that's 1136 01:09:07,840 --> 01:09:10,280 Speaker 1: something bad was going to happen, was that was a 1137 01:09:10,280 --> 01:09:11,800 Speaker 1: little weird. That was a little Eriie. I'm just gonna 1138 01:09:11,840 --> 01:09:14,760 Speaker 1: say it, but I think it is going to be 1139 01:09:15,200 --> 01:09:18,080 Speaker 1: Kamala Harris for a number of reasons. Other people I 1140 01:09:18,160 --> 01:09:21,479 Speaker 1: know who are very smart and very sound thinkers on 1141 01:09:21,560 --> 01:09:23,920 Speaker 1: issues of politics say that it might be Susan Rice 1142 01:09:24,520 --> 01:09:28,120 Speaker 1: because she well, she was part of the Obama foreign 1143 01:09:28,160 --> 01:09:30,479 Speaker 1: policy team in many ways the architect of it. Rice 1144 01:09:30,680 --> 01:09:37,760 Speaker 1: and Samantha Power. And Samantha Power was a disaster. So 1145 01:09:37,840 --> 01:09:41,360 Speaker 1: it was Susan Rice. Obama's foreign policy was one of 1146 01:09:41,360 --> 01:09:43,559 Speaker 1: the weakest, and there was a lot to criticize for 1147 01:09:43,560 --> 01:09:45,519 Speaker 1: the eight years of Obama, but his foreign policy was 1148 01:09:45,560 --> 01:09:50,360 Speaker 1: among the weakest least defensible parts of his presidency. Senator 1149 01:09:50,439 --> 01:09:52,360 Speaker 1: Tom Cotton points out what it would mean to have 1150 01:09:52,360 --> 01:09:55,320 Speaker 1: a Susan Rice as a VP play for well, I 1151 01:09:55,360 --> 01:09:58,040 Speaker 1: am Susan Rice was the typhoid Mary of the Obama 1152 01:09:58,080 --> 01:10:02,840 Speaker 1: administration foreign policy. Every major debacle in President Obama's tenure. 1153 01:10:03,200 --> 01:10:05,599 Speaker 1: Susan Rice was right in the middle of a look 1154 01:10:05,600 --> 01:10:10,000 Speaker 1: at China. She consistently counseled appeasement towards China. She commanded 1155 01:10:10,240 --> 01:10:14,040 Speaker 1: that our military leaders in the Pacific not raised China's 1156 01:10:14,080 --> 01:10:17,879 Speaker 1: efforts to militarize the South China Sea and create bases 1157 01:10:17,920 --> 01:10:20,679 Speaker 1: out of rocks in the water to extend the range 1158 01:10:20,720 --> 01:10:23,080 Speaker 1: of their planes and their missiles. She would right in 1159 01:10:23,080 --> 01:10:26,479 Speaker 1: the middle of the Iran nuclear deal. She counseled appeasement 1160 01:10:26,479 --> 01:10:28,680 Speaker 1: of Russia going into the twenty sixteen election, and then 1161 01:10:28,720 --> 01:10:31,679 Speaker 1: after the election, she was at the center of spying 1162 01:10:31,720 --> 01:10:36,160 Speaker 1: on the Trump campaign an unmasking American citizens who'd been 1163 01:10:36,240 --> 01:10:38,440 Speaker 1: caught up in that drag bad. You know, most nominees 1164 01:10:38,720 --> 01:10:41,400 Speaker 1: faced the jury of the American people, Susan Rice would 1165 01:10:41,439 --> 01:10:43,479 Speaker 1: be the first one to potentially face a grand jury 1166 01:10:43,520 --> 01:10:45,559 Speaker 1: as well. Now, I've got to tell you, in a sense, 1167 01:10:45,560 --> 01:10:47,640 Speaker 1: it would be perfect if Susan Rice teamed up with 1168 01:10:48,120 --> 01:10:52,480 Speaker 1: Biden here as a VP, because they both have incredibly 1169 01:10:52,520 --> 01:10:56,679 Speaker 1: consistent foreign policy records of being wrong all the time 1170 01:10:56,920 --> 01:11:00,800 Speaker 1: and of their ideas leading to disastrous outcomes. So in 1171 01:11:00,880 --> 01:11:04,160 Speaker 1: that way they're highly compatible. But I do, I do 1172 01:11:04,280 --> 01:11:07,280 Speaker 1: just believe that the think I think the media wants, 1173 01:11:07,840 --> 01:11:13,680 Speaker 1: they want their person. And they loved Kamala Harris. I mean, 1174 01:11:13,680 --> 01:11:18,200 Speaker 1: they loved Bacho as well, and because like he was 1175 01:11:18,240 --> 01:11:21,439 Speaker 1: just like such a an empty headed fraud that like 1176 01:11:21,560 --> 01:11:24,840 Speaker 1: it was hilarious to get to talk about him. But 1177 01:11:25,880 --> 01:11:27,960 Speaker 1: Kamala is I think still going to be the one, 1178 01:11:28,040 --> 01:11:32,400 Speaker 1: and then people start to ask the question, well, what's 1179 01:11:32,439 --> 01:11:35,720 Speaker 1: the point of what's the point exactly of voting for 1180 01:11:36,080 --> 01:11:39,160 Speaker 1: voting for Biden if you're really gonna get get Kamala 1181 01:11:39,200 --> 01:11:41,719 Speaker 1: And we didn't want Kamala when we could have voted 1182 01:11:41,720 --> 01:11:45,439 Speaker 1: for Kamala. So what's really going on here? Democrats? We'll 1183 01:11:45,479 --> 01:11:48,760 Speaker 1: figure that out. Thanks for listening to The Bus and 1184 01:11:48,840 --> 01:11:53,000 Speaker 1: Show podcast. Remember to subscribe on Apple podcast, the iHeart 1185 01:11:53,080 --> 01:11:57,200 Speaker 1: Radio app, or wherever you get your podcasts. The man 1186 01:11:57,360 --> 01:12:00,920 Speaker 1: is back after a well deserved vacation. Our buddy from 1187 01:12:01,040 --> 01:12:04,760 Speaker 1: National Review, David Harsani, is in the mix. Check out 1188 01:12:04,800 --> 01:12:07,360 Speaker 1: his latest at National review dot com. Also follow him 1189 01:12:07,520 --> 01:12:12,280 Speaker 1: on Twitter at David Harsanyi. What's up, David? How much 1190 01:12:12,280 --> 01:12:15,280 Speaker 1: haw's it going? It's all right, man. You look tanned, 1191 01:12:15,280 --> 01:12:17,800 Speaker 1: ready and rested, So let's let's jump right into it. 1192 01:12:18,080 --> 01:12:21,160 Speaker 1: I know you're writing this week about the Cuomo nursing 1193 01:12:21,240 --> 01:12:24,479 Speaker 1: home disaster in New York. This to me seems like 1194 01:12:24,520 --> 01:12:27,800 Speaker 1: one of those stories that they've suppressed it as long 1195 01:12:27,840 --> 01:12:30,360 Speaker 1: as they can, but now they've got a couple of 1196 01:12:30,400 --> 01:12:32,840 Speaker 1: AP writers who are like, look, guys, someone's you know, 1197 01:12:33,160 --> 01:12:36,599 Speaker 1: someone's gonna just break the narrative here because it's too 1198 01:12:36,800 --> 01:12:38,679 Speaker 1: it's too big of a story for them to hold 1199 01:12:38,720 --> 01:12:43,040 Speaker 1: off like this. So what do you think about what's 1200 01:12:43,040 --> 01:12:46,519 Speaker 1: happened here where it's taken months to figure out that 1201 01:12:46,640 --> 01:12:49,120 Speaker 1: not only did Cuomo give a disastrous order that might 1202 01:12:49,120 --> 01:12:51,439 Speaker 1: have led to thousands dying, but it might actually be 1203 01:12:51,479 --> 01:12:53,559 Speaker 1: a lot more than that, right, I mean, I think 1204 01:12:53,600 --> 01:12:56,320 Speaker 1: as far as the media coverage goes, you have probably 1205 01:12:56,520 --> 01:12:58,360 Speaker 1: I don't know it's perfect, but you're probably have hungry 1206 01:12:58,439 --> 01:13:02,080 Speaker 1: reporters and see pretty see story right here. I know 1207 01:13:02,120 --> 01:13:05,000 Speaker 1: the AP had asked for public records a few months 1208 01:13:05,040 --> 01:13:08,000 Speaker 1: ago and they haven't gotten them yet. And you know, 1209 01:13:08,160 --> 01:13:10,759 Speaker 1: it's it's it's a story about a lot of deaths. 1210 01:13:11,840 --> 01:13:14,679 Speaker 1: You know. First I was writing and it was reported 1211 01:13:14,720 --> 01:13:16,800 Speaker 1: that the deaths were around four thousand, and then we learned, 1212 01:13:17,200 --> 01:13:19,080 Speaker 1: you know, according to New York state numbers, that it 1213 01:13:19,120 --> 01:13:22,320 Speaker 1: was six thousand. And now the AP finds out that 1214 01:13:22,320 --> 01:13:26,360 Speaker 1: that those were just deaths reported of people who you know, 1215 01:13:26,479 --> 01:13:30,080 Speaker 1: died in the nursing home, not being transported to hospitals 1216 01:13:30,160 --> 01:13:32,400 Speaker 1: or elsewhere. So the number could be eleven thousand, it 1217 01:13:32,439 --> 01:13:35,280 Speaker 1: could even be higher. That's that's that should be a 1218 01:13:35,439 --> 01:13:39,800 Speaker 1: national story. But instead, of course we've had, and we've 1219 01:13:39,800 --> 01:13:42,240 Speaker 1: spoken about this before, the gas lighting that's going on 1220 01:13:42,360 --> 01:13:44,800 Speaker 1: to try to pretend that Almo did a good job 1221 01:13:44,840 --> 01:13:46,760 Speaker 1: and he's opening the schools because hey, you know, he 1222 01:13:46,800 --> 01:13:49,000 Speaker 1: did it the right way. We're talking about thirty five 1223 01:13:49,040 --> 01:13:52,439 Speaker 1: thousand dead in New York and it's been a huge disaster. 1224 01:13:52,479 --> 01:13:54,880 Speaker 1: And that's not even counting New York and Connecticut. A 1225 01:13:54,880 --> 01:13:59,479 Speaker 1: lot of those deaths obviously were imported from New York. 1226 01:14:00,400 --> 01:14:04,880 Speaker 1: So just a huge story. And to me, I see, 1227 01:14:05,520 --> 01:14:08,880 Speaker 1: I sit here, and how can anyone believe that we 1228 01:14:08,920 --> 01:14:12,760 Speaker 1: have an aggressive and honest press corps when there is 1229 01:14:13,000 --> 01:14:18,519 Speaker 1: very there's very obviously a real effort underway to make 1230 01:14:18,560 --> 01:14:21,599 Speaker 1: it seem like Cuomo isn't I mean, he goes out 1231 01:14:21,640 --> 01:14:24,799 Speaker 1: there lecture. I mean, there should be disdain for Cuomo 1232 01:14:24,920 --> 01:14:28,799 Speaker 1: lecturing other governors. There should be outrage and him acting 1233 01:14:28,840 --> 01:14:31,840 Speaker 1: like he knows he has the secret sauce here, he 1234 01:14:31,920 --> 01:14:34,800 Speaker 1: knew how to take care of this thing. It would 1235 01:14:34,840 --> 01:14:38,320 Speaker 1: have if Governor Cuomo had been you know, captured by 1236 01:14:38,400 --> 01:14:41,280 Speaker 1: Martians for the entirety of the pandemic and had no 1237 01:14:41,400 --> 01:14:45,160 Speaker 1: decision making authority whatsoever, more people would be alive. But 1238 01:14:45,200 --> 01:14:47,639 Speaker 1: the press doesn't seem to want that narrative to get out. 1239 01:14:47,840 --> 01:14:53,240 Speaker 1: They'd rather pretend that the Red States didn't mask enough. Yeah. 1240 01:14:53,280 --> 01:14:55,320 Speaker 1: I mean, because he's a Democrat, we all know that. 1241 01:14:55,840 --> 01:14:59,840 Speaker 1: And you're right about that Martian theory, because we're not 1242 01:15:00,040 --> 01:15:03,040 Speaker 1: talking about just incompetence here. We're talking about someone who 1243 01:15:03,120 --> 01:15:07,040 Speaker 1: signed an executive order proactively went and pushed people back 1244 01:15:07,040 --> 01:15:09,800 Speaker 1: into hospitals where they died, so that that is the 1245 01:15:09,840 --> 01:15:11,960 Speaker 1: real scandal. I mean, there's only so much we can 1246 01:15:11,960 --> 01:15:13,920 Speaker 1: do about pandemics, at least that's my view of it. 1247 01:15:13,960 --> 01:15:15,840 Speaker 1: I mean, we can do certain things, but there's only 1248 01:15:15,960 --> 01:15:20,120 Speaker 1: so much. But he actually proactively did something that killed people. 1249 01:15:20,160 --> 01:15:21,639 Speaker 1: I'm sorry to even laugh at that. I mean, it's 1250 01:15:21,680 --> 01:15:24,439 Speaker 1: just so absurd that it's not covered, that people aren't 1251 01:15:24,439 --> 01:15:27,160 Speaker 1: angry about it. That the lecture that Paul Krugman I 1252 01:15:27,160 --> 01:15:28,840 Speaker 1: mentioned him every time here because this is one of 1253 01:15:28,880 --> 01:15:33,000 Speaker 1: his big one of his big lives, is that Florida 1254 01:15:33,000 --> 01:15:35,680 Speaker 1: has messed up, that Texas has messed up, you know, 1255 01:15:35,840 --> 01:15:39,400 Speaker 1: not California, not Colorado, definitely not New York, where he 1256 01:15:39,560 --> 01:15:41,960 Speaker 1: literally wrote we should be following other states should be 1257 01:15:41,960 --> 01:15:46,720 Speaker 1: following Como's example, Well that you know that would be 1258 01:15:46,760 --> 01:15:49,000 Speaker 1: disastrous for the country. You have a million dead if 1259 01:15:49,320 --> 01:15:52,720 Speaker 1: if every state did that. Talking to David Harsani of 1260 01:15:52,800 --> 01:15:55,720 Speaker 1: National Review, So, David, any day now we're supposed to 1261 01:15:55,720 --> 01:15:59,080 Speaker 1: get a VP pick for Biden. I always feel like 1262 01:15:59,160 --> 01:16:01,840 Speaker 1: VP picks are are a little bit inflated in the mind, 1263 01:16:01,880 --> 01:16:03,760 Speaker 1: particularly in the mind of the press. It's August, we 1264 01:16:03,840 --> 01:16:05,720 Speaker 1: need something to talk about. Everyone's kind of like whoa 1265 01:16:05,840 --> 01:16:08,759 Speaker 1: VP pick? There is a real argument this time around, 1266 01:16:08,840 --> 01:16:11,080 Speaker 1: especially because Biden has at least said he's only gonna 1267 01:16:11,080 --> 01:16:13,879 Speaker 1: be a one termer. And I mean with the cognitive 1268 01:16:13,920 --> 01:16:17,200 Speaker 1: decline thing, I don't think it's a crazy conspiracy theory 1269 01:16:17,600 --> 01:16:20,960 Speaker 1: that if Biden wins two years into the presidency before 1270 01:16:21,000 --> 01:16:23,040 Speaker 1: the midterms, he may pass the torch on. I mean, 1271 01:16:23,200 --> 01:16:25,000 Speaker 1: I can't say that. I don't know if that'll happen, 1272 01:16:25,040 --> 01:16:28,360 Speaker 1: but that doesn't strike me as crazy. In fact, in 1273 01:16:28,360 --> 01:16:30,000 Speaker 1: a lot of ways, it's the best thing that Biden 1274 01:16:30,040 --> 01:16:32,840 Speaker 1: can do to preserve his legacy and become a kind 1275 01:16:32,880 --> 01:16:35,559 Speaker 1: of revered democrat for the ages and for his family 1276 01:16:35,680 --> 01:16:38,880 Speaker 1: and going forward. Do you have much of it? Do 1277 01:16:38,880 --> 01:16:40,840 Speaker 1: you think there's much of a difference based on who 1278 01:16:40,880 --> 01:16:44,280 Speaker 1: the VP picks may be. I mean, is this a 1279 01:16:44,320 --> 01:16:47,200 Speaker 1: momentous decision for the future of the country if Biden 1280 01:16:47,240 --> 01:16:48,640 Speaker 1: were to win, or is it kind of all the 1281 01:16:48,680 --> 01:16:52,960 Speaker 1: same thing? Now? It's a big decision. And why we 1282 01:16:52,960 --> 01:16:56,360 Speaker 1: shouldn't pretend that Biden won't be what seventy eight thirty 1283 01:16:56,439 --> 01:16:59,840 Speaker 1: nine years old when he's president, And we shouldn't pretend 1284 01:16:59,840 --> 01:17:02,920 Speaker 1: that there's not something you know, that he hasn't slowed 1285 01:17:02,960 --> 01:17:06,880 Speaker 1: down and that he you know, doesn't say things that 1286 01:17:09,400 --> 01:17:11,760 Speaker 1: the show positive to pine. I mean, David, I speak 1287 01:17:11,800 --> 01:17:14,160 Speaker 1: for five hours a day on radio and I've never 1288 01:17:14,600 --> 01:17:17,519 Speaker 1: you know, started muttering about where all the way, the 1289 01:17:17,600 --> 01:17:20,120 Speaker 1: people and the thing. And I guess guy does this 1290 01:17:20,200 --> 01:17:22,800 Speaker 1: all the time. Yeah, I mean that's it. I mean, 1291 01:17:22,840 --> 01:17:25,519 Speaker 1: we can't pretend that that's not happening. And you know, 1292 01:17:25,520 --> 01:17:28,920 Speaker 1: when when if Donald Trump accidentally says World War one 1293 01:17:29,080 --> 01:17:31,160 Speaker 1: two instead of World War one, and everyone makes a 1294 01:17:31,200 --> 01:17:33,599 Speaker 1: big deal out of it, it's very different than what 1295 01:17:33,640 --> 01:17:35,720 Speaker 1: we're seeing by you where he loses track of what 1296 01:17:35,760 --> 01:17:38,160 Speaker 1: he's talking about, where he's just aimlessly you know, but 1297 01:17:38,280 --> 01:17:41,360 Speaker 1: it just gibberish starts coming out, and not in the 1298 01:17:41,400 --> 01:17:44,280 Speaker 1: way that maybe I or you sometimes have gibbersh coming out, 1299 01:17:44,320 --> 01:17:46,280 Speaker 1: but in a in a way that we know that 1300 01:17:46,360 --> 01:17:49,840 Speaker 1: our very old uncle or grandparents might have spoken at 1301 01:17:49,880 --> 01:17:52,840 Speaker 1: one point. But whatever the case is, that that VP 1302 01:17:52,880 --> 01:17:56,120 Speaker 1: pick is important. There's a chance that that VP pick 1303 01:17:56,160 --> 01:18:00,320 Speaker 1: will be president, a good, a decent chance, and they're 1304 01:18:00,360 --> 01:18:02,879 Speaker 1: going to be someone like Susan Rice who has literally 1305 01:18:02,920 --> 01:18:05,840 Speaker 1: no experience really running anything, and who has a you 1306 01:18:05,880 --> 01:18:09,559 Speaker 1: know whatever, terrible history, at least from from my point 1307 01:18:09,600 --> 01:18:13,000 Speaker 1: of view. Or it matters. And if we have Kamala Harris, 1308 01:18:13,080 --> 01:18:16,559 Speaker 1: who's you know, who's basically an authoritarian, it matters. Can 1309 01:18:16,560 --> 01:18:18,640 Speaker 1: you dig into it matters more than usual? Can you 1310 01:18:18,680 --> 01:18:23,559 Speaker 1: dig into why Kamala scares you as as as a 1311 01:18:23,600 --> 01:18:26,280 Speaker 1: possible president? I said, well, what is the what is 1312 01:18:26,320 --> 01:18:29,120 Speaker 1: the case against Kamala as you see it? I mean, 1313 01:18:29,160 --> 01:18:30,880 Speaker 1: you know, I know we could talk about this a lot, 1314 01:18:30,920 --> 01:18:35,200 Speaker 1: but give us the the Harsani version. But for me, 1315 01:18:35,320 --> 01:18:39,439 Speaker 1: she's possibly the worst candidate other than maybe Bernie was, uh, 1316 01:18:39,479 --> 01:18:43,800 Speaker 1: you know. She as a libertarian ish type person. Her 1317 01:18:44,040 --> 01:18:46,479 Speaker 1: view of the police state is concerning to me. To 1318 01:18:46,560 --> 01:18:49,040 Speaker 1: begin with her view that you can use force to 1319 01:18:49,120 --> 01:18:54,080 Speaker 1: implement policies, and I you know is very concerning um 1320 01:18:54,320 --> 01:18:56,800 Speaker 1: the way that she views the use of government, and 1321 01:18:56,880 --> 01:18:59,640 Speaker 1: also the way she'd use the Constitution as an impediment 1322 01:19:00,080 --> 01:19:03,800 Speaker 1: to doing whatever she wants. She you know, everyone goes 1323 01:19:03,840 --> 01:19:07,320 Speaker 1: bananas over the supposed authoritarianism we're seeing from Donald Trump, 1324 01:19:07,320 --> 01:19:10,839 Speaker 1: but she's been during the debates and on Twitter and elsewhere, 1325 01:19:10,880 --> 01:19:13,840 Speaker 1: she many times simply stated that as president she would 1326 01:19:13,880 --> 01:19:15,719 Speaker 1: do things that she did not have the power to do. 1327 01:19:15,880 --> 01:19:18,040 Speaker 1: I don't remember them all right now, but you know 1328 01:19:18,320 --> 01:19:21,840 Speaker 1: she's done it numerous times. Her entire outlook about what 1329 01:19:21,920 --> 01:19:25,519 Speaker 1: how miracle works for me is incredibly problematic, worse than 1330 01:19:25,600 --> 01:19:28,559 Speaker 1: Joe Biden. So, I mean, you know, basically, I think 1331 01:19:28,560 --> 01:19:30,800 Speaker 1: she's an authoritarian. I don't say that flippantly, and I 1332 01:19:30,840 --> 01:19:33,200 Speaker 1: don't say that as sort of throwaway insult. I mean it. 1333 01:19:33,240 --> 01:19:35,479 Speaker 1: I think she's an authoritarian. Do you think there's any 1334 01:19:35,520 --> 01:19:38,080 Speaker 1: real shot that Elizabeth Warren is kind of able to 1335 01:19:38,160 --> 01:19:41,599 Speaker 1: just slip in there at the last moment because people 1336 01:19:41,680 --> 01:19:44,080 Speaker 1: still talk about her. I think she raised more money 1337 01:19:44,080 --> 01:19:46,040 Speaker 1: for buying than any of the other any of the 1338 01:19:46,040 --> 01:19:49,759 Speaker 1: other surrogates. You know, she's media loves her. She's female, 1339 01:19:49,960 --> 01:19:53,559 Speaker 1: not a minority, as we've we've had to find out 1340 01:19:53,560 --> 01:19:59,320 Speaker 1: over many years not a minority, but she's female. Well 1341 01:20:00,280 --> 01:20:02,400 Speaker 1: here's I mean, I think it would it would matter 1342 01:20:02,479 --> 01:20:05,360 Speaker 1: if if it's not an African American woman. I think 1343 01:20:05,360 --> 01:20:08,760 Speaker 1: that Biden would take a hit there, right, But if 1344 01:20:08,840 --> 01:20:12,120 Speaker 1: polls are showing that Elizabeth Warren is, you know, the 1345 01:20:12,400 --> 01:20:14,320 Speaker 1: candidate he needs, he might do it. And in some 1346 01:20:14,400 --> 01:20:18,439 Speaker 1: weird way, obviously I dislike her tremendously as well. She 1347 01:20:18,560 --> 01:20:21,559 Speaker 1: might be the most confident of the people that he's 1348 01:20:21,600 --> 01:20:24,960 Speaker 1: thinking about as far as being a VP, so he 1349 01:20:25,040 --> 01:20:26,840 Speaker 1: might he might go for it. I mean, I don't 1350 01:20:26,840 --> 01:20:29,320 Speaker 1: know what he's thinking, but it definitely matters that she's 1351 01:20:29,320 --> 01:20:32,960 Speaker 1: not a minority. I think that, you know, especially because 1352 01:20:33,000 --> 01:20:35,160 Speaker 1: most of the focus has been on minority candidates. For 1353 01:20:35,200 --> 01:20:37,280 Speaker 1: that not to happen, I think we've hurt him. Joe 1354 01:20:37,400 --> 01:20:42,559 Speaker 1: Joe Biden ran for president in nineteen eighty eight, and 1355 01:20:42,680 --> 01:20:47,080 Speaker 1: it was it floundered right away, you know, lied about 1356 01:20:47,080 --> 01:20:50,120 Speaker 1: his record, led about marching with the civil rights movement, 1357 01:20:51,200 --> 01:20:53,599 Speaker 1: plagiarized the speech. I mean, there was all this stuff 1358 01:20:54,240 --> 01:20:56,240 Speaker 1: that you know that was nineteen eighty eight. I mean, 1359 01:20:56,240 --> 01:20:59,400 Speaker 1: the walkman was cool back then, right, I Mean, this 1360 01:20:59,560 --> 01:21:03,840 Speaker 1: is the Soviet Union still existed and Biden was running 1361 01:21:03,840 --> 01:21:08,920 Speaker 1: for president. He tries again in what two thousand and six, 1362 01:21:08,960 --> 01:21:12,599 Speaker 1: two thousand and seven, and and I think he even 1363 01:21:12,640 --> 01:21:14,400 Speaker 1: tried in the interim too, But I'm just trying to jump, 1364 01:21:14,479 --> 01:21:16,400 Speaker 1: you know, trying to give us the short and abbreviated version. 1365 01:21:16,560 --> 01:21:18,240 Speaker 1: He tries again in two thousand and six, two thousand 1366 01:21:18,280 --> 01:21:22,000 Speaker 1: and seven, and he's never able to get more than 1367 01:21:22,160 --> 01:21:28,439 Speaker 1: one percent of the Democrat primary vote. He was like 1368 01:21:28,640 --> 01:21:33,160 Speaker 1: shoulder to shoulder in the polls with Dennis Kucinich, who 1369 01:21:33,200 --> 01:21:38,400 Speaker 1: wanted to start a Department of Peace to offset the Pentagon. Okay, 1370 01:21:38,680 --> 01:21:42,800 Speaker 1: that's who Joe Biden was as a politician. And now 1371 01:21:42,800 --> 01:21:46,800 Speaker 1: we're like, I just speaking about gaslighting David. It's like 1372 01:21:46,920 --> 01:21:49,880 Speaker 1: Democrats even though this guy is a loser, but now 1373 01:21:49,920 --> 01:21:51,960 Speaker 1: we're supposed to forget that. They've known he's a loser 1374 01:21:52,000 --> 01:21:54,200 Speaker 1: all this time. It's amazing to me. I want to 1375 01:21:54,240 --> 01:21:56,400 Speaker 1: preface the same by saying I think he can win 1376 01:21:56,439 --> 01:21:59,840 Speaker 1: the presidency. I think, yes, yes, Trump and I think 1377 01:21:59,880 --> 01:22:02,240 Speaker 1: he can win. But the bottom line is he's been 1378 01:22:02,280 --> 01:22:04,920 Speaker 1: a terrible politician his whole career. I mean, he won 1379 01:22:05,479 --> 01:22:08,880 Speaker 1: postwater Gate by accident a little bit complicated, but he 1380 01:22:08,880 --> 01:22:11,800 Speaker 1: won in Delaware, which is, you know, like winning a 1381 01:22:11,800 --> 01:22:16,320 Speaker 1: congressional seat at the time. And he basically has tripped, 1382 01:22:16,360 --> 01:22:19,320 Speaker 1: you know, has has been a bad politician since rand 1383 01:22:19,320 --> 01:22:20,880 Speaker 1: in eighty seven. As you mentioned, it was just a 1384 01:22:20,920 --> 01:22:24,960 Speaker 1: complete disaster, embarrassing, and he's embarrassed himself numerous times. But 1385 01:22:25,000 --> 01:22:28,439 Speaker 1: he's continually treated like, you know, like he's a real 1386 01:22:28,640 --> 01:22:31,800 Speaker 1: man of the people, takes his amtrak home, you know, 1387 01:22:31,920 --> 01:22:35,559 Speaker 1: and etc. So, but he's never been popular. He's only 1388 01:22:35,560 --> 01:22:37,920 Speaker 1: popular with the press. He's never been popular with people. 1389 01:22:38,840 --> 01:22:41,880 Speaker 1: It was Barack Obama resurrected him only because he was 1390 01:22:41,920 --> 01:22:45,080 Speaker 1: this sort of lightweight moderate that he could, you know, 1391 01:22:45,560 --> 01:22:49,320 Speaker 1: enough to worry about. Basically, Busha changed what the VP 1392 01:22:49,520 --> 01:22:52,080 Speaker 1: was about was no longer about the person next in line. 1393 01:22:52,120 --> 01:22:54,360 Speaker 1: It was something else, and I think Obama followed that 1394 01:22:54,439 --> 01:22:56,559 Speaker 1: as well, and in his own way. But he has 1395 01:22:56,560 --> 01:22:58,560 Speaker 1: never been a good politician, and the idea that he 1396 01:22:59,439 --> 01:23:01,280 Speaker 1: is what we need now is crazy. The only reason 1397 01:23:01,360 --> 01:23:03,519 Speaker 1: he wont is because we had a socialist running that 1398 01:23:03,720 --> 01:23:06,560 Speaker 1: Democrats knew couldn't win in a bunch of other lightweight candidates. 1399 01:23:06,920 --> 01:23:10,479 Speaker 1: So if he wins, he'll he'll be an accident of history. 1400 01:23:10,840 --> 01:23:12,360 Speaker 1: At least that's how I view it. I mean, it's 1401 01:23:12,400 --> 01:23:15,080 Speaker 1: not Trump. You can hate him or not. He brought 1402 01:23:15,160 --> 01:23:19,479 Speaker 1: a new populist populism back to the United States. It 1403 01:23:19,600 --> 01:23:21,880 Speaker 1: was something that's time had come. Maybe he wasn't the 1404 01:23:21,880 --> 01:23:24,600 Speaker 1: best vessel for it. I obviously just ruth many of 1405 01:23:24,640 --> 01:23:26,920 Speaker 1: those populous ideas, but I think that it meant something. 1406 01:23:26,960 --> 01:23:30,200 Speaker 1: What is Joe Biden's candidacy about nothing? It's just about 1407 01:23:30,280 --> 01:23:33,519 Speaker 1: not being Trump. There's really nothing else to it. David Arson, 1408 01:23:33,800 --> 01:23:37,000 Speaker 1: everybody this too. He constantly tells us that his long 1409 01:23:37,080 --> 01:23:38,960 Speaker 1: record is the reason he should be elected, but he 1410 01:23:39,000 --> 01:23:41,479 Speaker 1: does not hold any position that he held even ten 1411 01:23:41,560 --> 01:23:44,200 Speaker 1: years ago anymore. So his record, we're not even allowed 1412 01:23:44,200 --> 01:23:46,639 Speaker 1: to talk about it anymore. Well, that's that to me. 1413 01:23:47,720 --> 01:23:49,200 Speaker 1: How was you gonna say, David? That to me is 1414 01:23:49,200 --> 01:23:51,800 Speaker 1: why he is the quintessential politician, and that he is 1415 01:23:51,800 --> 01:23:54,960 Speaker 1: the guy who it's like, you know, a low level 1416 01:23:54,960 --> 01:23:57,760 Speaker 1: staffer shows up with, Hey, this is the position that's 1417 01:23:57,800 --> 01:24:00,760 Speaker 1: popular right now, and he's like, oh, I said something 1418 01:24:00,800 --> 01:24:02,559 Speaker 1: else a month ago, but let's do this. And he's 1419 01:24:02,600 --> 01:24:04,800 Speaker 1: been doing that for forty years. It's even worse than 1420 01:24:04,840 --> 01:24:06,280 Speaker 1: that in a way. But yeah, I mean, you're right. 1421 01:24:06,320 --> 01:24:09,479 Speaker 1: But if you take all his major accomplishments, meaning bills 1422 01:24:09,520 --> 01:24:11,960 Speaker 1: that had his name that he wrote, there's something called 1423 01:24:11,960 --> 01:24:14,760 Speaker 1: the Biden Amendment that still exists. It's an anti abortion, 1424 01:24:15,160 --> 01:24:18,559 Speaker 1: you know, part of a bill, you know, foreign policy. 1425 01:24:18,600 --> 01:24:21,000 Speaker 1: But if you take the crime bill, if you take 1426 01:24:21,080 --> 01:24:24,439 Speaker 1: his busting positions, if you take his high Amendment vote 1427 01:24:24,840 --> 01:24:28,519 Speaker 1: and another and I've listed it elsewhere, but another thirty 1428 01:24:28,600 --> 01:24:32,639 Speaker 1: pro abortion vote, his accomplishment. He cannot point if someone 1429 01:24:32,680 --> 01:24:34,200 Speaker 1: I wish someone would ask him, can you point to 1430 01:24:34,240 --> 01:24:36,960 Speaker 1: an accomplishment a bill that you still support that you've 1431 01:24:37,040 --> 01:24:39,400 Speaker 1: voted for over the last thirty years. I don't know 1432 01:24:39,439 --> 01:24:41,960 Speaker 1: that he'd be able to name one. So it seems 1433 01:24:42,040 --> 01:24:43,519 Speaker 1: unlikely to me that there's going to be a lot 1434 01:24:43,520 --> 01:24:45,760 Speaker 1: of excitement voting from now again. There might be a 1435 01:24:45,760 --> 01:24:48,200 Speaker 1: lot of anger at Trump, you know, that pushes people 1436 01:24:48,200 --> 01:24:50,439 Speaker 1: out to vote. But I just don't think anyone's really 1437 01:24:50,479 --> 01:24:53,040 Speaker 1: a huge Joe Biden fan. I've never met that person 1438 01:24:53,080 --> 01:24:56,559 Speaker 1: in my life that I'm waiting for that too. There 1439 01:24:56,600 --> 01:25:01,160 Speaker 1: are Hillary super fans, I've met them, know them. There 1440 01:25:01,200 --> 01:25:05,600 Speaker 1: are clearly, I mean superfans are basically just called Democrats, right, So, 1441 01:25:05,640 --> 01:25:08,000 Speaker 1: I mean the Democrats have had people who have and 1442 01:25:08,080 --> 01:25:12,639 Speaker 1: even Bernie, I've never met a person in my life 1443 01:25:12,920 --> 01:25:15,720 Speaker 1: who is like Joe Biden is the guy we need. 1444 01:25:16,000 --> 01:25:21,080 Speaker 1: Never It's never happened. No, I mean, you know you have. 1445 01:25:21,280 --> 01:25:23,960 Speaker 1: With Bernie, you have there's an ideological reason people like 1446 01:25:24,320 --> 01:25:27,280 Speaker 1: that and want it. Right With Hillary the first woman, 1447 01:25:27,560 --> 01:25:29,960 Speaker 1: you know, everyone believes, you know, she should have been president, 1448 01:25:30,040 --> 01:25:32,120 Speaker 1: et cetera. And you can go down the line. But 1449 01:25:32,120 --> 01:25:34,800 Speaker 1: with Biden, if you ask people why, you know, why 1450 01:25:34,840 --> 01:25:38,000 Speaker 1: you're voting for Biden, finance looks like I guess he'll do, right. 1451 01:25:38,040 --> 01:25:39,920 Speaker 1: I mean, he's the guy, he's the most moderate guy 1452 01:25:39,960 --> 01:25:41,680 Speaker 1: you can win and we need to be Trump and 1453 01:25:41,720 --> 01:25:43,839 Speaker 1: that's what it's about. Now. That might work for an election, 1454 01:25:43,880 --> 01:25:47,600 Speaker 1: but honestly, I think it will be a disaster for Democrats. 1455 01:25:47,800 --> 01:25:49,280 Speaker 1: On the other side of this thing. I mean, they 1456 01:25:49,280 --> 01:25:52,680 Speaker 1: always talk about how Trump's a disaster long term for Republicans, 1457 01:25:52,720 --> 01:25:54,599 Speaker 1: I think the Biden thing's going to be a disaster 1458 01:25:54,840 --> 01:25:56,559 Speaker 1: because you're going to have a big split in that 1459 01:25:56,600 --> 01:25:59,600 Speaker 1: party I think between progressives and sort of more to 1460 01:25:59,680 --> 01:26:02,240 Speaker 1: call thith but sort of the other wing of the party. 1461 01:26:02,920 --> 01:26:06,080 Speaker 1: Harsani on fire. Everybody. Check out David Harsani's latest over 1462 01:26:06,280 --> 01:26:10,280 Speaker 1: National review dot com. Follow him on the social media stuff. David, 1463 01:26:10,439 --> 01:26:11,840 Speaker 1: thanks so much for making the time. Man. Good to 1464 01:26:11,840 --> 01:26:17,960 Speaker 1: have you back anytime. Thanks for having me Man, You're 1465 01:26:18,040 --> 01:26:20,720 Speaker 1: in the freedom. Hey, this is the Buck Sex and 1466 01:26:20,800 --> 01:26:27,679 Speaker 1: Show podcast. If we win the election, we'll have deals 1467 01:26:27,680 --> 01:26:30,960 Speaker 1: with a lot of countries very fast. They're just waiting 1468 01:26:31,040 --> 01:26:33,680 Speaker 1: to see who wins because they are hoping. They are 1469 01:26:33,720 --> 01:26:37,400 Speaker 1: hoping that Joe Biden wins. Sleep Echo, and if he wins, 1470 01:26:37,400 --> 01:26:39,960 Speaker 1: you know what's going to happen. China will own us. 1471 01:26:40,640 --> 01:26:43,720 Speaker 1: Our markets will crash, the four oh one case will 1472 01:26:43,760 --> 01:26:46,400 Speaker 1: go down to practically nothing. Stocks will go down to 1473 01:26:46,479 --> 01:26:51,360 Speaker 1: practically nothing. Remember stocks, these big companies, they're owned by 1474 01:26:51,640 --> 01:26:56,360 Speaker 1: millions of people that are carpenters and policemen and farmers 1475 01:26:56,439 --> 01:27:00,880 Speaker 1: and lots of other people, and they are the ones 1476 01:27:00,920 --> 01:27:03,840 Speaker 1: that benefit by having a good stock market, probably more 1477 01:27:03,840 --> 01:27:07,640 Speaker 1: than anybody else. But the four oh one case, the stocks, 1478 01:27:07,680 --> 01:27:11,559 Speaker 1: the economy will be in a shambles. They want to 1479 01:27:11,600 --> 01:27:14,640 Speaker 1: raise taxes, they want to triple taxes, they want to 1480 01:27:14,720 --> 01:27:18,800 Speaker 1: raise the quopiate tax, but they want to raise all taxes. Ultimately, 1481 01:27:18,840 --> 01:27:20,679 Speaker 1: they can't pay for what they want to do anyway. 1482 01:27:20,720 --> 01:27:23,880 Speaker 1: And what they're going to do is destroy your healthcare 1483 01:27:23,880 --> 01:27:25,720 Speaker 1: and destroy so many other things. We're gonna have a 1484 01:27:25,680 --> 01:27:28,799 Speaker 1: one hundred and eighty million people that are so happy 1485 01:27:28,880 --> 01:27:32,040 Speaker 1: with their private healthcare they're gonna lose it under this 1486 01:27:32,120 --> 01:27:34,920 Speaker 1: crazy plan that these people are proposing. I think that 1487 01:27:35,000 --> 01:27:40,360 Speaker 1: everything Trump says there is true in general. Maybe a 1488 01:27:40,439 --> 01:27:42,920 Speaker 1: little exaggerated, but I think it's it's you know, it's exaggerated, 1489 01:27:42,960 --> 01:27:45,639 Speaker 1: but it's true in general. And that's something we should 1490 01:27:45,640 --> 01:27:47,400 Speaker 1: all be reminded of. When I'm talking about, you know, 1491 01:27:47,439 --> 01:27:48,880 Speaker 1: the stock market. I don't think your four o one 1492 01:27:48,920 --> 01:27:50,639 Speaker 1: K is gonna go to zero of bonding gets elected. 1493 01:27:50,800 --> 01:27:53,920 Speaker 1: That's that's this is classic Trump salesman talk, right, But 1494 01:27:54,160 --> 01:27:56,800 Speaker 1: they are going to go down. It's a stock market. 1495 01:27:56,840 --> 01:27:58,840 Speaker 1: Remember when Trump won the election, it's oh my gosh, 1496 01:27:58,920 --> 01:28:02,559 Speaker 1: it's plummeting, and actually market ended up shooting up. Right, 1497 01:28:03,080 --> 01:28:07,439 Speaker 1: That'll actually happen if Biden wins. Stocks go down Biden wins. 1498 01:28:07,920 --> 01:28:11,080 Speaker 1: We got big, big problems with that, big problems with that. 1499 01:28:11,080 --> 01:28:16,240 Speaker 1: That's what I see. So I really believe, I really 1500 01:28:16,280 --> 01:28:21,280 Speaker 1: believe that the president of the United States getting reelected 1501 01:28:21,439 --> 01:28:24,120 Speaker 1: is going to be of enormous benefit. But you know, 1502 01:28:24,160 --> 01:28:25,880 Speaker 1: to all of us, even to the people who hate him. 1503 01:28:26,160 --> 01:28:29,960 Speaker 1: But the the Democrat point of view, if Biden is 1504 01:28:30,000 --> 01:28:33,640 Speaker 1: a nice man, vote for Oh you got you gottap. 1505 01:28:33,760 --> 01:28:36,920 Speaker 1: You know who's coming, Elizabeth Warren. If Biden is a 1506 01:28:36,920 --> 01:28:40,599 Speaker 1: man of empathy, a man of empathy, I tell you 1507 01:28:41,120 --> 01:28:44,600 Speaker 1: play nine. But during this pandemic, Donald Trump is a 1508 01:28:44,640 --> 01:28:47,799 Speaker 1: man who cares only about himself. He's a man who 1509 01:28:47,920 --> 01:28:50,599 Speaker 1: watches his poll numbers and how he looks on camera, 1510 01:28:50,760 --> 01:28:54,040 Speaker 1: and you know, everything measured through the lens of how 1511 01:28:54,080 --> 01:28:57,439 Speaker 1: it affects Donald Trump. Joe Biden is a man of 1512 01:28:57,560 --> 01:29:01,519 Speaker 1: genuine empathy, a man who up in a family that 1513 01:29:02,400 --> 01:29:05,400 Speaker 1: had its ups and downs, and you know, lived in 1514 01:29:05,439 --> 01:29:07,479 Speaker 1: a family when his dad lost her job and they 1515 01:29:08,240 --> 01:29:13,439 Speaker 1: lost their home. He understands what's happening to human beings 1516 01:29:13,439 --> 01:29:16,320 Speaker 1: in this country at a human level. And of all 1517 01:29:16,400 --> 01:29:18,960 Speaker 1: the things we need in a leader, Yeah, we need 1518 01:29:19,000 --> 01:29:22,479 Speaker 1: somebody who's competent and who's smart, and who will bring 1519 01:29:22,520 --> 01:29:25,960 Speaker 1: good people in, but we need someone has a basic 1520 01:29:26,120 --> 01:29:30,639 Speaker 1: empathy for other human beings and squam in this fight 1521 01:29:31,040 --> 01:29:35,360 Speaker 1: for Joe Biden. Just vote for Biden because even though 1522 01:29:35,400 --> 01:29:39,479 Speaker 1: he's a he's a senor, a little fool, he's he's 1523 01:29:39,520 --> 01:29:44,799 Speaker 1: an empathy guy. Yeah, he believes in and oh he feels. 1524 01:29:45,400 --> 01:29:50,640 Speaker 1: He feels your paymember that Joe Biden, Joe Biden, everybody, 1525 01:29:50,439 --> 01:29:53,320 Speaker 1: he feels your pain. As long as they're ladies nearby, 1526 01:29:53,439 --> 01:29:55,760 Speaker 1: he wants to. He wants to feel the ladies too. 1527 01:29:55,800 --> 01:29:59,000 Speaker 1: Maybe sniff him. Thanks for listening to the bus Essen 1528 01:29:59,080 --> 01:30:03,840 Speaker 1: Show podcast. Remember to subscribe on Apple Podcast, the iHeartRadio app, 1529 01:30:04,040 --> 01:30:09,479 Speaker 1: or wherever you get your podcasts. Liberty, Truth and Great Hair. 1530 01:30:16,240 --> 01:30:28,479 Speaker 1: Feel those funky beats. It's time for roll Call. Roll 1531 01:30:28,600 --> 01:30:34,480 Speaker 1: call Facebook dot com, slash Buck Sexton Teambuck at iHeartMedia 1532 01:30:34,520 --> 01:30:37,720 Speaker 1: dot com. If you want to email us, that's how 1533 01:30:37,760 --> 01:30:41,240 Speaker 1: we do, That's how we roll. Let's get to it, 1534 01:30:41,520 --> 01:30:47,479 Speaker 1: my friends, Thomas kicking us off. The biggest lesson the 1535 01:30:47,479 --> 01:30:51,439 Speaker 1: Trump administration should have learned from this COVID nineteen pandemic 1536 01:30:51,479 --> 01:30:53,680 Speaker 1: by now is that it was a major mistake to 1537 01:30:53,720 --> 01:30:57,320 Speaker 1: put HHS, m n h n CDC in charge of 1538 01:30:57,400 --> 01:31:01,640 Speaker 1: handling a crisis of this scale. None of those agencies 1539 01:31:01,680 --> 01:31:05,679 Speaker 1: have any experience dealing with managing a crisis of this skill, 1540 01:31:06,240 --> 01:31:09,200 Speaker 1: a hard lesson learned by President Trump his staff, and 1541 01:31:09,360 --> 01:31:12,600 Speaker 1: a severe impact of the overall state of mind of 1542 01:31:12,600 --> 01:31:16,880 Speaker 1: the country. Whoever advised President Trump it was a good 1543 01:31:16,920 --> 01:31:19,120 Speaker 1: idea to put a bunch of technocrats in charge of 1544 01:31:19,120 --> 01:31:23,080 Speaker 1: this crisis should be fired. Had President Trump followed procedures 1545 01:31:23,080 --> 01:31:26,400 Speaker 1: and implemented the National Emergency Action Plan as it was designed, 1546 01:31:26,880 --> 01:31:29,439 Speaker 1: the first person he should have contacted is the director 1547 01:31:29,479 --> 01:31:31,960 Speaker 1: of FEMA. The only way to break this cycle of 1548 01:31:32,040 --> 01:31:35,800 Speaker 1: intermittent panic, get this country back to reality and salvage 1549 01:31:35,840 --> 01:31:39,719 Speaker 1: our economy is for the President to declare a nation 1550 01:31:40,240 --> 01:31:44,240 Speaker 1: the national emergency is over. Let Fauci and friends continue 1551 01:31:44,240 --> 01:31:46,840 Speaker 1: their bean counting until they're satisfied they have enough data, 1552 01:31:46,920 --> 01:31:51,719 Speaker 1: or until the public stopped listening to them. Shields High Thomas, 1553 01:31:51,920 --> 01:31:55,599 Speaker 1: very compelling, very compelling analysis from you on this. Thank 1554 01:31:55,640 --> 01:31:58,720 Speaker 1: you so much for reaching out to us with it. 1555 01:31:58,880 --> 01:32:02,160 Speaker 1: And yeah, I think that there have been lessons learned 1556 01:32:02,160 --> 01:32:06,200 Speaker 1: about NAH and NIH and CDC and these other organizations 1557 01:32:06,200 --> 01:32:08,880 Speaker 1: and their role in all of this, and how their 1558 01:32:08,960 --> 01:32:14,960 Speaker 1: role was far too prominent. Michael Riot, shield Tie mayor 1559 01:32:15,120 --> 01:32:18,600 Speaker 1: Lightfoot is again threatening to shut down beaches and parks 1560 01:32:18,640 --> 01:32:22,120 Speaker 1: because of COVID, yet refuses to put a stop to 1561 01:32:22,240 --> 01:32:26,760 Speaker 1: other people having their fun and forbid under penalty of incarceration, 1562 01:32:27,240 --> 01:32:30,439 Speaker 1: put an end to the peaceful demonstration that most would 1563 01:32:30,479 --> 01:32:34,519 Speaker 1: call rioting. Same with New York, Michael. I know there's 1564 01:32:34,520 --> 01:32:37,240 Speaker 1: a huge double standard in the way that these Democrat 1565 01:32:37,320 --> 01:32:43,400 Speaker 1: politicians approach enforcement in the COVID pandemic era against things 1566 01:32:43,479 --> 01:32:47,439 Speaker 1: they don't like and things they do like. And as 1567 01:32:47,479 --> 01:32:53,080 Speaker 1: we know, Democrats like b LM, Democrats like the protests, 1568 01:32:53,080 --> 01:32:56,360 Speaker 1: and so there's a very there's a very different tone, 1569 01:32:56,479 --> 01:33:01,640 Speaker 1: very different action taken all of that, and that's not 1570 01:33:01,680 --> 01:33:04,240 Speaker 1: going to change anytime soon because there's no accountability other 1571 01:33:04,240 --> 01:33:08,519 Speaker 1: than the ballot box for politicians that act out and 1572 01:33:08,600 --> 01:33:12,880 Speaker 1: act poorly. So that's what we see happening. That's that's 1573 01:33:12,920 --> 01:33:15,360 Speaker 1: the reality situation by the producer, Mark, Since you did 1574 01:33:15,400 --> 01:33:19,559 Speaker 1: such an excellent job yesterday of explaining the situation of 1575 01:33:19,600 --> 01:33:22,400 Speaker 1: a football to all of us, what is the situation 1576 01:33:22,520 --> 01:33:25,320 Speaker 1: right now? Has anything any updates on this? No, I 1577 01:33:25,320 --> 01:33:27,880 Speaker 1: don't believe there's been any updates as of yesterday's show, 1578 01:33:27,880 --> 01:33:31,080 Speaker 1: because I was seeing some people say that the Big 1579 01:33:31,160 --> 01:33:34,639 Speaker 1: Ten just because the Big Ten is shutting down doesn't 1580 01:33:34,680 --> 01:33:36,479 Speaker 1: mean all the other leagues will now or all the 1581 01:33:36,520 --> 01:33:39,840 Speaker 1: other conferences, right, I mean it definitely doesn't mean that. 1582 01:33:39,920 --> 01:33:42,960 Speaker 1: But I mean if one shuts down, you kind of 1583 01:33:42,960 --> 01:33:45,280 Speaker 1: think there's gonna be a domino effect, but you never 1584 01:33:45,320 --> 01:33:51,559 Speaker 1: really know. Okay, And there's always the point of is 1585 01:33:51,560 --> 01:33:53,960 Speaker 1: it the same if the Big ten's not there and 1586 01:33:54,000 --> 01:33:56,800 Speaker 1: you have four other conferences playing well, you don't have 1587 01:33:56,840 --> 01:34:01,639 Speaker 1: the competition for the big tens? So what's the point? Yes? Fair, fair, 1588 01:34:01,840 --> 01:34:05,840 Speaker 1: fair point? Are you watching? Are you watching Fear City? Yet? 1589 01:34:06,600 --> 01:34:09,560 Speaker 1: I am not. There's hockey on. It's the middle of 1590 01:34:09,560 --> 01:34:12,840 Speaker 1: the playoffs. Come on, who's would tell us about the hockey? 1591 01:34:12,880 --> 01:34:15,840 Speaker 1: The situation? Who doing well? The best thing ever happened 1592 01:34:15,920 --> 01:34:18,799 Speaker 1: last night? Have you ever heard of a draft lottery? 1593 01:34:18,840 --> 01:34:21,639 Speaker 1: Do you understand that concept? Yeah? Of course? So I'm 1594 01:34:21,680 --> 01:34:24,160 Speaker 1: not a savage, all right, I don't know what I 1595 01:34:24,160 --> 01:34:26,920 Speaker 1: don't know what you know. But basically, the worst teams 1596 01:34:27,000 --> 01:34:29,320 Speaker 1: going for people who may not know go they get 1597 01:34:29,320 --> 01:34:31,240 Speaker 1: put in a bunch of pink bong balls with their 1598 01:34:31,240 --> 01:34:33,559 Speaker 1: logos on it, and they pick out the teams in 1599 01:34:33,600 --> 01:34:36,559 Speaker 1: the order U The Rangers ended up winning that last 1600 01:34:36,640 --> 01:34:39,559 Speaker 1: night after losing in the qualifying round, so they will 1601 01:34:39,560 --> 01:34:43,599 Speaker 1: get to draft Alexis Lafonier, who is the new phenom. 1602 01:34:43,680 --> 01:34:46,880 Speaker 1: That's great for me personally, but in the playoffs, the 1603 01:34:46,960 --> 01:34:52,439 Speaker 1: regular playoffs are starting tonight, exciting Alexis, Yes, but he's 1604 01:34:52,439 --> 01:34:54,640 Speaker 1: gonna be a great player for the Rangers. I I 1605 01:34:54,680 --> 01:34:56,559 Speaker 1: didn't know the French even did ice hockey. I thought 1606 01:34:56,560 --> 01:34:59,559 Speaker 1: only either only the Quash. Those kind of folks did 1607 01:34:59,600 --> 01:35:02,599 Speaker 1: ice hockey. A lot of countries around the world play 1608 01:35:02,680 --> 01:35:07,280 Speaker 1: I hockey, Huh, I was, I was unaware of it. 1609 01:35:07,360 --> 01:35:11,719 Speaker 1: But the Rangers best player decade has been Swedish Henrik Lundquist. 1610 01:35:13,120 --> 01:35:17,439 Speaker 1: I was unaware of that. All right, cool, Um, let's 1611 01:35:17,439 --> 01:35:24,479 Speaker 1: see here we have Josh Buck. Producer Mark is fake news. Uh, 1612 01:35:25,200 --> 01:35:28,479 Speaker 1: doctor bottom. The Big Ten is a much better conference 1613 01:35:28,479 --> 01:35:32,160 Speaker 1: than the SEC. The SEC has Alabama at LSU. They 1614 01:35:32,160 --> 01:35:36,439 Speaker 1: don't have the firepower of Michigan, Ohio State, Penn State, Wisconsin, Iowa, 1615 01:35:36,439 --> 01:35:39,920 Speaker 1: and Minnesota. Usually producer Mark is spot on, but he's 1616 01:35:39,920 --> 01:35:42,479 Speaker 1: dead wrong on this. Producer Mark, I gave you the floor. 1617 01:35:42,560 --> 01:35:45,320 Speaker 1: You know, I saw this email, so I'm prepared for it. 1618 01:35:45,520 --> 01:35:49,160 Speaker 1: I looked it up. Since the college football Playoff was instituted, 1619 01:35:49,840 --> 01:35:54,799 Speaker 1: the most appearances and most wins since twenty fourteen. Fifteen 1620 01:35:54,840 --> 01:35:57,720 Speaker 1: season is the SEC and the Big Ten has won 1621 01:35:57,760 --> 01:36:00,439 Speaker 1: one championship and has only had two team make it 1622 01:36:00,880 --> 01:36:03,040 Speaker 1: and they have a two and three record in four appearances. 1623 01:36:04,320 --> 01:36:06,680 Speaker 1: So you're just going with the data. Yeah, I got 1624 01:36:07,880 --> 01:36:11,400 Speaker 1: so shut up, That's what I'm gonna say. There we go, 1625 01:36:11,600 --> 01:36:14,679 Speaker 1: There we go, Josh. We appreciate your fire, my friend. 1626 01:36:14,920 --> 01:36:16,800 Speaker 1: Don't let the producer Mark bull you around right and 1627 01:36:16,840 --> 01:36:18,639 Speaker 1: again and tell him he's wrong on something else. Don't 1628 01:36:18,720 --> 01:36:21,800 Speaker 1: let him get away with that nonsense. Nick hey Buck, 1629 01:36:21,840 --> 01:36:24,439 Speaker 1: I'm a mechanic for the USPS and can attest to 1630 01:36:24,479 --> 01:36:26,640 Speaker 1: the fact that the mail in voting would be a 1631 01:36:26,680 --> 01:36:30,479 Speaker 1: complete disaster. The amount of mail that gets destroyed by 1632 01:36:30,479 --> 01:36:34,840 Speaker 1: mail sorting machines on a daily basis is unbelievable. USPS 1633 01:36:34,960 --> 01:36:37,479 Speaker 1: claims that it's less than one percent of total volume, 1634 01:36:37,800 --> 01:36:41,120 Speaker 1: but even one percent might be enough to affect an election. 1635 01:36:41,640 --> 01:36:46,040 Speaker 1: Add to that, missorts and mishandling and balance will be 1636 01:36:46,040 --> 01:36:49,280 Speaker 1: showing up weeks after the election. In addition to the 1637 01:36:49,280 --> 01:36:51,960 Speaker 1: mechanical and logistical nightmare, added to it is that all 1638 01:36:52,080 --> 01:36:55,920 Speaker 1: mail processing functions are now computer based and susceptible to 1639 01:36:55,960 --> 01:36:59,400 Speaker 1: outside interference. This is a disaster waiting to happen, and 1640 01:36:59,439 --> 01:37:02,360 Speaker 1: the President has to stop this if possible. PS. Love 1641 01:37:02,400 --> 01:37:04,880 Speaker 1: the show. Keep up the good work well, Nick. Thank you, 1642 01:37:04,960 --> 01:37:09,439 Speaker 1: and your points on the reality of US postal service. 1643 01:37:09,479 --> 01:37:12,640 Speaker 1: I think are very compelling, and I'd have to say 1644 01:37:13,080 --> 01:37:16,320 Speaker 1: I find them to be persuasive. And I think that 1645 01:37:16,439 --> 01:37:18,960 Speaker 1: mail in balloting across the board would be a very 1646 01:37:19,000 --> 01:37:21,800 Speaker 1: bad thing, and that's why the President's so opposed to it. 1647 01:37:21,920 --> 01:37:24,439 Speaker 1: So I'm with you on all that, my friend. I'm 1648 01:37:24,479 --> 01:37:29,400 Speaker 1: absolutely with you. Paul. Catching up on podcasts and her 1649 01:37:29,400 --> 01:37:33,679 Speaker 1: are your discussion about Biden's statement on undocumented workers who 1650 01:37:33,680 --> 01:37:37,800 Speaker 1: pay taxes being eligible for Medicare for none. How can 1651 01:37:37,880 --> 01:37:40,760 Speaker 1: one be an undocumented worker and pay taxes? If you 1652 01:37:40,840 --> 01:37:44,280 Speaker 1: pay taxes other than sales tax, you need a social 1653 01:37:44,320 --> 01:37:47,559 Speaker 1: Security number. If you have a legitimate social Security number, 1654 01:37:47,600 --> 01:37:51,160 Speaker 1: you're not undocumented. If you have a fall social Security number, 1655 01:37:51,160 --> 01:37:54,920 Speaker 1: you're a criminal, regardless of your immigration status. PS. Keep 1656 01:37:54,960 --> 01:37:57,240 Speaker 1: up the good work. Buck. Not quite Oss, but I 1657 01:37:57,280 --> 01:37:59,240 Speaker 1: did start following you when you had your TV show 1658 01:37:59,240 --> 01:38:01,760 Speaker 1: on the Blaze. He asked, producer Mark is doing a 1659 01:38:01,800 --> 01:38:03,800 Speaker 1: great job. Look at that, producer, Mark, you get a 1660 01:38:03,800 --> 01:38:08,000 Speaker 1: little high five. Good not everyone hates me? Oh please? 1661 01:38:08,040 --> 01:38:09,720 Speaker 1: Do you got Producer Mark fans? We gotta make the 1662 01:38:09,720 --> 01:38:12,280 Speaker 1: Producer Mark. What's gonna go on the Producer Mark T shirt? Though? 1663 01:38:12,439 --> 01:38:15,840 Speaker 1: When we start selling T shirts, maybe something I say 1664 01:38:15,880 --> 01:38:18,680 Speaker 1: about you? Okay, well, I think you gotta give it 1665 01:38:18,760 --> 01:38:20,160 Speaker 1: some thought though, you know what I mean? All right, 1666 01:38:20,720 --> 01:38:22,040 Speaker 1: I haven't thought about it yet. I don't know we 1667 01:38:22,040 --> 01:38:24,760 Speaker 1: were gonna have Producer Mark T shirts. Producer Mark, don't 1668 01:38:24,760 --> 01:38:26,880 Speaker 1: step into my penalty box, you know, something like that. 1669 01:38:27,240 --> 01:38:29,559 Speaker 1: I gotta figure. Yeah, maybe it'll just say the penalty 1670 01:38:29,600 --> 01:38:32,320 Speaker 1: box with Producer Mark, the penalty box with Producer Mark. 1671 01:38:32,360 --> 01:38:34,600 Speaker 1: There we go with like a hockey stick logo and 1672 01:38:34,600 --> 01:38:37,200 Speaker 1: it or some short or maybe we'll design a penalty 1673 01:38:37,240 --> 01:38:41,639 Speaker 1: box but you win it. Wait even better? Is there 1674 01:38:41,880 --> 01:38:45,439 Speaker 1: so the penalty box? Oh no, when you go yeah, 1675 01:38:45,479 --> 01:38:49,160 Speaker 1: when you go into the penalty box, Yeah, it's separate 1676 01:38:49,200 --> 01:38:51,880 Speaker 1: from where Is that the same as the bench you 1677 01:38:51,920 --> 01:38:54,040 Speaker 1: normally sit on? Is there actually a box? So there's 1678 01:38:54,040 --> 01:38:56,360 Speaker 1: a bench where all the players sit, you know, when 1679 01:38:56,320 --> 01:38:58,680 Speaker 1: they're whatnot, and right across from it, on the other 1680 01:38:58,680 --> 01:39:03,000 Speaker 1: side of the ice, they there's two literal boxes with 1681 01:39:03,120 --> 01:39:05,439 Speaker 1: a door that opens and when you get called up 1682 01:39:05,439 --> 01:39:08,120 Speaker 1: for a penalty, you go into the box. How long 1683 01:39:08,160 --> 01:39:10,680 Speaker 1: are you usually the box for most penalties are two 1684 01:39:10,720 --> 01:39:14,519 Speaker 1: minutes of game time and then you lose a player 1685 01:39:14,600 --> 01:39:17,880 Speaker 1: on the ice, So it's like a short term red 1686 01:39:17,920 --> 01:39:21,880 Speaker 1: card from soccer. Basically yes, yeah, like, but it's a 1687 01:39:21,880 --> 01:39:24,519 Speaker 1: two minute red card, and it's called a power play 1688 01:39:24,920 --> 01:39:27,400 Speaker 1: for the other team. But you can get expect you 1689 01:39:27,400 --> 01:39:29,040 Speaker 1: can't get kicked out of the game entirely if you 1690 01:39:29,120 --> 01:39:32,240 Speaker 1: oh yeah, and then that's a ten minute misconduct where 1691 01:39:32,320 --> 01:39:36,479 Speaker 1: usually there's no loss of manpower, but you're you're out 1692 01:39:36,479 --> 01:39:37,639 Speaker 1: of a game. You have you don't know, you don't 1693 01:39:37,640 --> 01:39:38,840 Speaker 1: go to the box, you don't have to sit there 1694 01:39:38,840 --> 01:39:39,960 Speaker 1: for the rest of the game. You showed a lot 1695 01:39:40,000 --> 01:39:42,600 Speaker 1: for them. What will usually get you a ten minute misconduct? 1696 01:39:43,600 --> 01:39:46,360 Speaker 1: Um you have kind of stuff. You would have to 1697 01:39:46,400 --> 01:39:49,000 Speaker 1: spear somebody with your stick, like use it as a weapon, 1698 01:39:49,400 --> 01:39:53,880 Speaker 1: which has happened before at aggressive fighting. So a regular 1699 01:39:53,920 --> 01:39:56,519 Speaker 1: fight is just five minutes, no loss of manpower, but 1700 01:39:56,600 --> 01:39:59,840 Speaker 1: something that crosses the line would do that. Just anything 1701 01:40:00,000 --> 01:40:02,240 Speaker 1: crosses the line basically will do that. A big hit 1702 01:40:02,320 --> 01:40:05,599 Speaker 1: into the boards with your elbow into somebody's heads something 1703 01:40:05,640 --> 01:40:09,120 Speaker 1: like that would do it. So playing real dirty, we'll 1704 01:40:09,160 --> 01:40:12,640 Speaker 1: get you, yes, exact. Okay, those hockey reps must be 1705 01:40:12,680 --> 01:40:15,120 Speaker 1: really good skaters. I just thought about that. Oh, they're fantastic. 1706 01:40:15,160 --> 01:40:17,960 Speaker 1: They go into many major training camps and whatnot, and 1707 01:40:18,040 --> 01:40:21,280 Speaker 1: they're well conditioned. They have to skate for sixty minutes straight, 1708 01:40:21,560 --> 01:40:25,559 Speaker 1: basically have to be in good shape. Interesting, Paul, Oh no, Paul, 1709 01:40:25,680 --> 01:40:28,400 Speaker 1: Sorry about about your point on undocumented workers. Yes, they're 1710 01:40:28,479 --> 01:40:30,559 Speaker 1: usually Democrats where you should pay this game of saying 1711 01:40:30,640 --> 01:40:36,120 Speaker 1: undocumented workers, also known as the legal aliens, pay taxes. 1712 01:40:36,160 --> 01:40:39,040 Speaker 1: But what they mean by that, what they're really saying 1713 01:40:39,160 --> 01:40:43,920 Speaker 1: with that is that they pay sales tax and that 1714 01:40:44,040 --> 01:40:45,920 Speaker 1: so when they buy stuff, when they go buy a 1715 01:40:45,960 --> 01:40:48,160 Speaker 1: six pack of beer or a loaf of bread or whatever, 1716 01:40:48,520 --> 01:40:50,960 Speaker 1: they're paying taxes and not getting the benefit of it. Now, 1717 01:40:51,000 --> 01:40:53,240 Speaker 1: that's not really true, because they're living in that state, 1718 01:40:53,600 --> 01:40:55,599 Speaker 1: and in being in that state, you're getting the benefit 1719 01:40:55,640 --> 01:41:02,640 Speaker 1: of fire and police and road clearing and all that stuff. Right, 1720 01:41:02,680 --> 01:41:05,679 Speaker 1: so you are getting benefit on the federal level, which 1721 01:41:05,680 --> 01:41:07,719 Speaker 1: is what you're referring to. Yeah, to pay federal taxies, 1722 01:41:07,760 --> 01:41:10,120 Speaker 1: you'd have to be using if you are an illegal 1723 01:41:10,120 --> 01:41:12,799 Speaker 1: alien a stolen Social Security number, which is an additional 1724 01:41:12,840 --> 01:41:15,800 Speaker 1: crime to illegal status. One of the big parts of 1725 01:41:15,840 --> 01:41:18,800 Speaker 1: the illegal immigration debate that gets glossed over by the 1726 01:41:18,840 --> 01:41:21,800 Speaker 1: media is that there are many crimes that are routinely 1727 01:41:21,840 --> 01:41:26,240 Speaker 1: committed by legal aliens in excess of the illegal status. Right, 1728 01:41:26,280 --> 01:41:27,920 Speaker 1: So being in the country when you're not supposed to, 1729 01:41:28,040 --> 01:41:32,040 Speaker 1: that's a crime. But then there's document fraud and forgery, 1730 01:41:31,680 --> 01:41:35,280 Speaker 1: and you know, all kinds of stuff, you know, different 1731 01:41:35,360 --> 01:41:38,160 Speaker 1: kinds of you you know, using a false Social Security card. 1732 01:41:38,200 --> 01:41:40,720 Speaker 1: These are all things that you add on top and 1733 01:41:40,760 --> 01:41:44,160 Speaker 1: there's even more criminality that comes from it. And I'll 1734 01:41:44,160 --> 01:41:45,559 Speaker 1: just tell you this. You know, if you if you 1735 01:41:45,640 --> 01:41:49,120 Speaker 1: forward signatures and you did bad stuff when you were 1736 01:41:49,200 --> 01:41:50,960 Speaker 1: applying for a home, let's say, and you know you 1737 01:41:51,080 --> 01:41:53,120 Speaker 1: cheated on your mortgage paperwork, you could be in a 1738 01:41:53,200 --> 01:41:57,280 Speaker 1: lot of trouble. But for illegals, cheating is what they are. 1739 01:41:57,280 --> 01:41:59,519 Speaker 1: That what they have to do. The Libs will say, 1740 01:42:00,439 --> 01:42:02,280 Speaker 1: because they have no choice because we haven't given them 1741 01:42:02,280 --> 01:42:04,920 Speaker 1: an mistake, which is of course flipping around the whole issue, 1742 01:42:04,960 --> 01:42:07,080 Speaker 1: because they don't have to do any of these things. 1743 01:42:07,280 --> 01:42:09,920 Speaker 1: They don't have to be in the country illegally right, 1744 01:42:10,160 --> 01:42:13,320 Speaker 1: but not much of a not much of a support 1745 01:42:13,320 --> 01:42:20,800 Speaker 1: for that among Democrats. That is for sure. You're in 1746 01:42:20,840 --> 01:42:24,440 Speaker 1: the freedom hunt. This is the Buck Sexton Show podcast. 1747 01:42:28,040 --> 01:42:30,000 Speaker 1: Remember if you want to call in, oh I'm gonna 1748 01:42:30,000 --> 01:42:33,040 Speaker 1: be out, so please do calling. We'll probably try to 1749 01:42:33,040 --> 01:42:36,960 Speaker 1: do us on Thursday eight four four nine hundred two 1750 01:42:37,080 --> 01:42:40,799 Speaker 1: eight two five. Leave us a voicemail. Please keep it short. 1751 01:42:41,160 --> 01:42:44,200 Speaker 1: Producer Mark does not like listening to five minute long voicemails. 1752 01:42:44,520 --> 01:42:48,240 Speaker 1: Please keep it short. Under a minute is acceptable. Under 1753 01:42:48,400 --> 01:42:53,880 Speaker 1: thirty seconds is perfect. Listen to five minute voicemails. What's up? 1754 01:42:54,080 --> 01:42:56,240 Speaker 1: Producer Mark doesn't listen to the five minute voicemail. I 1755 01:42:56,240 --> 01:42:59,240 Speaker 1: don't the leader that out. Yeah, you go past one 1756 01:42:59,320 --> 01:43:02,000 Speaker 1: minute and you're in the penalty box and your voicemail 1757 01:43:02,040 --> 01:43:03,799 Speaker 1: is going to get deleted. That's what ends up happening. 1758 01:43:03,840 --> 01:43:07,760 Speaker 1: So keep it to thirty seconds is key. And my 1759 01:43:07,840 --> 01:43:10,599 Speaker 1: recommendation is call in, say who you are, where you're 1760 01:43:10,600 --> 01:43:13,759 Speaker 1: calling from. Give us either a comment about their comments 1761 01:43:13,760 --> 01:43:15,880 Speaker 1: are fine. If you just want to say, I want 1762 01:43:15,880 --> 01:43:20,040 Speaker 1: to produce your mark, you know, Teddy Bear for Christmas 1763 01:43:20,120 --> 01:43:23,200 Speaker 1: time to give my kids, you know, that's fine. If 1764 01:43:23,200 --> 01:43:25,840 Speaker 1: you have a question, that's great. Too, but comment or 1765 01:43:25,960 --> 01:43:28,559 Speaker 1: question thirty seconds who are where you're from? Because that 1766 01:43:28,600 --> 01:43:30,480 Speaker 1: way we can get through a lot of the voicemails 1767 01:43:31,000 --> 01:43:33,000 Speaker 1: and we can bring more and more of them on 1768 01:43:33,040 --> 01:43:36,360 Speaker 1: the show too. So please eight four four nine hundred 1769 01:43:36,400 --> 01:43:38,679 Speaker 1: two eight two five eight four four nine hundred buck. 1770 01:43:39,479 --> 01:43:41,880 Speaker 1: Thirty seconds is a sweet spot. Make sure you know 1771 01:43:41,920 --> 01:43:44,000 Speaker 1: what your comment or your question is before you call. 1772 01:43:44,560 --> 01:43:47,519 Speaker 1: Please and see because we do this too. None of 1773 01:43:47,560 --> 01:43:49,439 Speaker 1: you ever have to wait on hold. You know, there's 1774 01:43:49,479 --> 01:43:51,839 Speaker 1: a lot of these shows that do the live calls 1775 01:43:52,200 --> 01:43:54,599 Speaker 1: and they put people that don't they won't tell the audiences. 1776 01:43:54,600 --> 01:43:56,880 Speaker 1: They put them in hold hell where you call in 1777 01:43:57,360 --> 01:43:59,479 Speaker 1: and they'll say, okay, yeah, we'll get to you when 1778 01:43:59,479 --> 01:44:01,080 Speaker 1: we get and then to sit there on hold until 1779 01:44:01,160 --> 01:44:03,160 Speaker 1: you realize that you're never going to get on because 1780 01:44:03,160 --> 01:44:05,559 Speaker 1: they'll have seven eight phone lines going at a time. 1781 01:44:05,600 --> 01:44:07,360 Speaker 1: They'll just put some so if you keep calling in 1782 01:44:07,400 --> 01:44:08,840 Speaker 1: and they don't want your call to go on air, 1783 01:44:08,880 --> 01:44:11,880 Speaker 1: they'll put you on hold forever. So you know, we 1784 01:44:11,920 --> 01:44:13,600 Speaker 1: don't do that to you. We don't waste any of 1785 01:44:13,600 --> 01:44:17,160 Speaker 1: your time. Call in thirty seconds, Bam done. Producer Mark 1786 01:44:17,200 --> 01:44:20,200 Speaker 1: loves it. It's his favorite homework assignment and maybe you 1787 01:44:20,240 --> 01:44:21,920 Speaker 1: have a T shirt idea for Producer Mark. I'm just 1788 01:44:21,920 --> 01:44:24,200 Speaker 1: gonna put that out there, you know, the Producer Mark line. 1789 01:44:24,240 --> 01:44:26,439 Speaker 1: You know fashion were I'm just saying, what are we 1790 01:44:26,439 --> 01:44:28,360 Speaker 1: adding to my duties now I have to become a 1791 01:44:28,360 --> 01:44:31,120 Speaker 1: fashion designer. Well, no, they're gonna give you the idea 1792 01:44:31,160 --> 01:44:33,439 Speaker 1: for the T shirt? Okay, And then so they're the designer. Really, 1793 01:44:33,439 --> 01:44:35,600 Speaker 1: you're just the producer Mark. You're just the mus you know, 1794 01:44:35,720 --> 01:44:38,720 Speaker 1: someone has to make the T shirt, right, you're the inspiration. Yeah, no, 1795 01:44:38,800 --> 01:44:41,160 Speaker 1: we got we got people go, oh we do I 1796 01:44:41,320 --> 01:44:44,440 Speaker 1: haven't met the mint. Yeah, well, well I got surprises 1797 01:44:44,439 --> 01:44:46,880 Speaker 1: in store for you. We're working on it. And also 1798 01:44:46,920 --> 01:44:49,479 Speaker 1: please go to Bucksexton dot com speaking of surprises in 1799 01:44:49,600 --> 01:44:52,160 Speaker 1: store for you. More and more cool stuff going on 1800 01:44:52,320 --> 01:44:54,839 Speaker 1: that site. Linked to all of our different social media accounts. 1801 01:44:54,880 --> 01:44:56,920 Speaker 1: You can listen to the podcast of the Buck Sexton 1802 01:44:57,000 --> 01:45:01,360 Speaker 1: Show there. So yeah, thank you, Steve right, it's great show. Buck. 1803 01:45:01,840 --> 01:45:03,839 Speaker 1: I have a theory about the whole BLM and defund 1804 01:45:03,840 --> 01:45:07,680 Speaker 1: the police movement. The leftists want to purge the institution 1805 01:45:07,760 --> 01:45:10,799 Speaker 1: of the police in this country of any non leftist elements. 1806 01:45:10,880 --> 01:45:12,960 Speaker 1: That way they can they can do what they've done 1807 01:45:12,960 --> 01:45:16,040 Speaker 1: to every other institution in this country by making the 1808 01:45:16,120 --> 01:45:19,960 Speaker 1: job frustrating and impossible, good cops are running for the door, 1809 01:45:20,080 --> 01:45:24,240 Speaker 1: quitting or early retirement. The defunding just accelerates this. When 1810 01:45:24,240 --> 01:45:27,200 Speaker 1: the crime goes up, and it will, of course, the 1811 01:45:27,320 --> 01:45:30,439 Speaker 1: same politicians will start hiring police officers that pass PC 1812 01:45:30,600 --> 01:45:33,200 Speaker 1: litmus tests, and the Democrat Party will have the kind 1813 01:45:33,240 --> 01:45:36,679 Speaker 1: of people who will be happy to enforce unconstitutional laws, 1814 01:45:37,000 --> 01:45:39,840 Speaker 1: laws that they will then pass. What do you think, 1815 01:45:41,840 --> 01:45:48,120 Speaker 1: Uh see a very interesting theory. I don't know if 1816 01:45:48,240 --> 01:45:50,040 Speaker 1: you know. I mean, I think I think there's some 1817 01:45:50,080 --> 01:45:52,599 Speaker 1: truth which there's going to be more diversity training for cops, 1818 01:45:52,600 --> 01:45:55,840 Speaker 1: and so there's You're not wrong. I just don't know 1819 01:45:55,880 --> 01:45:58,080 Speaker 1: if it's as coherent a plan as that. I think 1820 01:45:58,080 --> 01:46:02,680 Speaker 1: that they're not even thinking that far out. But and 1821 01:46:02,880 --> 01:46:04,559 Speaker 1: it's also gonna be tough to get people to go 1822 01:46:04,600 --> 01:46:06,880 Speaker 1: into law enforcement who are true leftists. I think that's 1823 01:46:06,880 --> 01:46:09,960 Speaker 1: a challenge. But interesting thoughts, Steve, and I'm gonna mull 1824 01:46:10,040 --> 01:46:15,040 Speaker 1: it over a bit more. Gene. Gene writes, not sure 1825 01:46:15,280 --> 01:46:20,280 Speaker 1: why teachers are so fearful. Before this virus, they taught 1826 01:46:20,360 --> 01:46:22,479 Speaker 1: kids who are coming to school with all sorts of 1827 01:46:22,520 --> 01:46:25,880 Speaker 1: sickness because parents sent them to school sick. If they 1828 01:46:25,920 --> 01:46:29,160 Speaker 1: had to work now with the virus, I would think 1829 01:46:29,160 --> 01:46:32,960 Speaker 1: they would actually be safer because everyone is more aware. Yeah, Gene, 1830 01:46:33,600 --> 01:46:37,400 Speaker 1: this is certainly true of the flu, which exists every year. 1831 01:46:37,479 --> 01:46:40,280 Speaker 1: We go through flu season, flu cycle. It can be 1832 01:46:40,400 --> 01:46:43,200 Speaker 1: lethal to children and to adults, and teachers still go 1833 01:46:43,240 --> 01:46:46,559 Speaker 1: to school even during the flu season. And that doesn't 1834 01:46:46,600 --> 01:46:48,640 Speaker 1: make anybody you know a mass murderer for saying we 1835 01:46:48,640 --> 01:46:51,479 Speaker 1: should have schools open. So schools should be open, folks, 1836 01:46:51,720 --> 01:46:54,240 Speaker 1: That much should be clear at this point. Thanks for 1837 01:46:54,320 --> 01:46:57,320 Speaker 1: being here. Please pass the buck. Tell somebody in your life, 1838 01:46:57,360 --> 01:46:59,519 Speaker 1: somebody you know about the Buck Sexton Show, get them 1839 01:46:59,520 --> 01:47:02,559 Speaker 1: to try the podcast. Just once. I'm gonna be out 1840 01:47:02,600 --> 01:47:04,840 Speaker 1: on Friday. Mike later will be in for me, but 1841 01:47:04,880 --> 01:47:07,160 Speaker 1: I'm back tomorrow on Thursday. Shield High