1 00:00:03,360 --> 00:00:15,480 Speaker 1: You are entering the freedom hunt. President Trump wants to 2 00:00:15,520 --> 00:00:19,040 Speaker 1: put America back to work. There's a discussion now about 3 00:00:19,079 --> 00:00:22,680 Speaker 1: what risks are tolerable to get some economic activity. Going wow, 4 00:00:22,720 --> 00:00:26,159 Speaker 1: we continue to face off against this pandemic. Plus, the 5 00:00:26,239 --> 00:00:29,440 Speaker 1: House is set to pass this massive rescue bill. Is 6 00:00:29,480 --> 00:00:32,000 Speaker 1: one member going to stall it? And what's the latest 7 00:00:32,040 --> 00:00:36,560 Speaker 1: on China's effort to blame us for this massive global epidemic. 8 00:00:36,640 --> 00:00:38,320 Speaker 1: We're going to that and more coming up on the 9 00:00:38,320 --> 00:00:42,360 Speaker 1: Buck Sexton Show. This is the Buck Sexon Show, where 10 00:00:42,400 --> 00:00:45,400 Speaker 1: the mission or mission is to decode what really matters 11 00:00:45,600 --> 00:00:52,760 Speaker 1: with assionable intelligence. Make no mistake, you're a great American Again, 12 00:00:52,880 --> 00:01:03,560 Speaker 1: the Buck Sexon Show begins. He's a great guy. No, Well, 13 00:01:03,600 --> 00:01:06,199 Speaker 1: I want those guidelines to go even when we're open 14 00:01:06,280 --> 00:01:10,160 Speaker 1: and fully operational, and frankly, much of the guidelines, like 15 00:01:10,240 --> 00:01:13,360 Speaker 1: shaking hands, maybe people aren't going to be shaking hands anymore. 16 00:01:14,040 --> 00:01:17,440 Speaker 1: You know. Tony had mentioned to me Tony Fauchais the 17 00:01:17,480 --> 00:01:19,640 Speaker 1: other day that I don't think he was would be 18 00:01:19,640 --> 00:01:22,120 Speaker 1: too upset with the concept of nut shaking hands. Who 19 00:01:22,200 --> 00:01:24,520 Speaker 1: was saying that the fluid cut down, the regular fluid 20 00:01:24,520 --> 00:01:27,520 Speaker 1: be cut down by quite a bit. If we didn't 21 00:01:27,520 --> 00:01:29,440 Speaker 1: do that, if we didn't shake hands, you know, the 22 00:01:29,440 --> 00:01:31,520 Speaker 1: regular flu, which you know you have a lot of 23 00:01:31,560 --> 00:01:33,920 Speaker 1: deaths and a lot of problems with it too. So 24 00:01:33,959 --> 00:01:36,200 Speaker 1: I think a lot of a lot of great things 25 00:01:36,240 --> 00:01:38,280 Speaker 1: are going to when we're open. Just so you just 26 00:01:38,319 --> 00:01:40,920 Speaker 1: to finish when we're open. As soon as we open. 27 00:01:41,200 --> 00:01:43,080 Speaker 1: That doesn't mean you're going to stop with the guidelines. 28 00:01:43,200 --> 00:01:46,480 Speaker 1: You'll still try and distance yourself, maybe not to the 29 00:01:46,480 --> 00:01:49,640 Speaker 1: same extent, because you have to lead a life, welcome 30 00:01:49,680 --> 00:01:53,240 Speaker 1: the buck sex and show everyone. The President is saying 31 00:01:54,200 --> 00:01:56,880 Speaker 1: that this is exactly what well, it's really what I've 32 00:01:56,880 --> 00:02:00,280 Speaker 1: been saying for a week now, which is that we 33 00:02:00,320 --> 00:02:02,760 Speaker 1: have to accept at some point we're going to be 34 00:02:02,800 --> 00:02:06,960 Speaker 1: making decisions about this that don't involve just honkering down, 35 00:02:07,000 --> 00:02:11,760 Speaker 1: battening down the hatches, and refusing to go outside for 36 00:02:12,520 --> 00:02:15,600 Speaker 1: business for work purposes. This is something that now as 37 00:02:15,639 --> 00:02:18,000 Speaker 1: we continue to try to find ways to fight against 38 00:02:18,000 --> 00:02:22,920 Speaker 1: the coronavirus is gaining even more attraction. President saying, look, 39 00:02:23,000 --> 00:02:28,000 Speaker 1: we're going to have things in place that will continue 40 00:02:28,000 --> 00:02:32,840 Speaker 1: to lessen the spread of this virus. But the the 41 00:02:32,919 --> 00:02:36,160 Speaker 1: thirty day lockdown is doable, the three month lockdown is 42 00:02:36,360 --> 00:02:40,200 Speaker 1: painful and perhaps catastrophic. You go beyond that, and we're 43 00:02:40,200 --> 00:02:43,560 Speaker 1: not going to have an economy to restart. And people 44 00:02:43,560 --> 00:02:46,120 Speaker 1: are understanding that now now that we've seen three point 45 00:02:46,280 --> 00:02:52,120 Speaker 1: three about officially unemployed just from this past week. It 46 00:02:52,240 --> 00:02:54,800 Speaker 1: was a much greater understanding than there had been up 47 00:02:54,840 --> 00:02:59,040 Speaker 1: to this point, now that we see that the unemployment 48 00:02:59,120 --> 00:03:01,000 Speaker 1: roles are only going to go up. By the way, 49 00:03:01,040 --> 00:03:03,920 Speaker 1: it's not just that last week there was really high unemployment. 50 00:03:03,919 --> 00:03:06,359 Speaker 1: It's that in the weeks ahead, there is nothing but 51 00:03:06,600 --> 00:03:09,320 Speaker 1: one direction this will go in. You know, usually have 52 00:03:09,360 --> 00:03:13,639 Speaker 1: a bad, bad employment report and people will say, oh, well, 53 00:03:13,639 --> 00:03:16,080 Speaker 1: it'll rebound, maybe it was bad weather. We all know 54 00:03:16,600 --> 00:03:19,800 Speaker 1: this is just going to drop off a cliff. And 55 00:03:19,840 --> 00:03:23,080 Speaker 1: so that's why the President yesterday in his press conference 56 00:03:23,600 --> 00:03:26,280 Speaker 1: was trying to address some of his critics who are 57 00:03:26,320 --> 00:03:30,040 Speaker 1: saying that he's putting grandma's life in jeopardy for four 58 00:03:30,160 --> 00:03:33,680 Speaker 1: or one k Everyone is in jeopardy right now. The 59 00:03:33,720 --> 00:03:35,760 Speaker 1: economy is in jeopardy. This virus puts all of us 60 00:03:35,760 --> 00:03:38,440 Speaker 1: in jeopardy. I'm here in New York City in quarantine. 61 00:03:39,440 --> 00:03:42,440 Speaker 1: There is also a growing recognition that cities are in 62 00:03:42,480 --> 00:03:45,440 Speaker 1: a worse spot with this, if you are out in 63 00:03:46,280 --> 00:03:48,839 Speaker 1: areas of the country where you have a lot more 64 00:03:49,160 --> 00:03:51,640 Speaker 1: social distance just by virtue of the fact that you 65 00:03:51,680 --> 00:03:53,400 Speaker 1: have to deal with a lot fewer people on a 66 00:03:53,440 --> 00:03:55,760 Speaker 1: day to day basis. I mean, think about, just just 67 00:03:55,960 --> 00:03:58,000 Speaker 1: in case you haven't really gone through this, and I 68 00:03:58,040 --> 00:04:00,800 Speaker 1: know a lot of you who have. You know, more space, 69 00:04:00,880 --> 00:04:02,880 Speaker 1: more air around you. You already know this without me 70 00:04:02,920 --> 00:04:05,960 Speaker 1: telling you. But someone like me when I get down, 71 00:04:06,200 --> 00:04:09,120 Speaker 1: when I go on the subway, you're usually packed to 72 00:04:09,200 --> 00:04:11,200 Speaker 1: get into the subway. And this is the reality for 73 00:04:11,360 --> 00:04:14,760 Speaker 1: millions of New Yorkers, literally millions of people every day. 74 00:04:14,760 --> 00:04:17,560 Speaker 1: I think three million people are in the New York 75 00:04:17,600 --> 00:04:20,880 Speaker 1: City subway system every day. And this is why we 76 00:04:20,920 --> 00:04:23,520 Speaker 1: also have been we've been hit worse than other cities. 77 00:04:23,800 --> 00:04:27,280 Speaker 1: You look at Los Angeles. Yeah, people, the gym, you know, 78 00:04:27,360 --> 00:04:31,520 Speaker 1: the bar, the grocery store. There's certainly opportunities for infection. 79 00:04:31,880 --> 00:04:34,159 Speaker 1: And one of the big problems, as we're recognizing, is 80 00:04:34,160 --> 00:04:38,240 Speaker 1: infection in the home, which is why Governor Cuomo yesterday 81 00:04:38,240 --> 00:04:40,239 Speaker 1: and I'll get into this more later, is saying maybe 82 00:04:40,279 --> 00:04:43,599 Speaker 1: sending everybody home wasn't in fact the best idea. But 83 00:04:43,839 --> 00:04:47,040 Speaker 1: in New York city. We are packed like sardines. I 84 00:04:47,040 --> 00:04:49,280 Speaker 1: don't know why sardines are more tightly packed than other things, 85 00:04:49,279 --> 00:04:52,599 Speaker 1: but we are packed like sardines. And your shoulder to 86 00:04:52,600 --> 00:04:55,919 Speaker 1: shoulder on the way into the subway, you know, but 87 00:04:56,120 --> 00:05:00,000 Speaker 1: to butt back to back on the subway crammed in there. 88 00:05:00,120 --> 00:05:03,120 Speaker 1: Probably seen video footage of this. That's the reality. You 89 00:05:03,160 --> 00:05:05,440 Speaker 1: are as close to people. You are so close to 90 00:05:05,480 --> 00:05:09,520 Speaker 1: people every day that their bodies are pressed up against you, 91 00:05:09,720 --> 00:05:12,560 Speaker 1: and you just think that this is normal because this 92 00:05:12,640 --> 00:05:15,640 Speaker 1: is what everyone's doing. But you're actually in physical contact 93 00:05:15,640 --> 00:05:19,440 Speaker 1: with strangers every day, lots of them, every single day. 94 00:05:20,160 --> 00:05:23,320 Speaker 1: So that means that it's really easy. You gotta remember 95 00:05:23,360 --> 00:05:25,000 Speaker 1: every person you're in contact with, they're all going to 96 00:05:25,040 --> 00:05:27,839 Speaker 1: different places. They're all distributed around the city. You know. 97 00:05:27,880 --> 00:05:32,599 Speaker 1: The subway system alone is like a virus distribution system. 98 00:05:33,680 --> 00:05:36,920 Speaker 1: So that's important for everybody when we're thinking about how 99 00:05:37,279 --> 00:05:39,040 Speaker 1: we can get a handle on this disease and what 100 00:05:39,080 --> 00:05:42,120 Speaker 1: we can do. If you look at the places where 101 00:05:42,120 --> 00:05:45,240 Speaker 1: the greatest transmission happens, it's in very close quarters and 102 00:05:45,320 --> 00:05:48,560 Speaker 1: it's by touch, and all you need is one person 103 00:05:48,600 --> 00:05:52,240 Speaker 1: on a crowded subway car to sneeze let's say, and 104 00:05:52,320 --> 00:05:55,279 Speaker 1: those aerosol eyes droplets are there, and the subway is packed, 105 00:05:55,279 --> 00:05:57,480 Speaker 1: and you can infect a whole bunch of people. So 106 00:05:57,600 --> 00:06:02,279 Speaker 1: if you live in West Texas, if you live in 107 00:06:04,360 --> 00:06:07,640 Speaker 1: more outlying areas of Kansas, you know, places where I 108 00:06:07,640 --> 00:06:09,559 Speaker 1: know a lot of you who listen to the show 109 00:06:09,680 --> 00:06:14,760 Speaker 1: do live, you know, out in Oregon, not in Portland necessarily, 110 00:06:14,760 --> 00:06:16,960 Speaker 1: but the rest of the state. You don't have to 111 00:06:17,040 --> 00:06:18,520 Speaker 1: deal with as many people. So you're not seeing the 112 00:06:18,520 --> 00:06:20,760 Speaker 1: same degree of infections. And I think it's very possible 113 00:06:20,760 --> 00:06:24,200 Speaker 1: that you will not see the same degree of infection 114 00:06:24,360 --> 00:06:28,240 Speaker 1: anytime soon in those areas. That said, other cities are 115 00:06:28,279 --> 00:06:33,080 Speaker 1: getting hit pretty hard right now, New Orleans. It particularly 116 00:06:33,080 --> 00:06:38,760 Speaker 1: places that are a really large global tourism trade, you know, 117 00:06:38,960 --> 00:06:42,440 Speaker 1: destination places are getting hit really hard. You know, there's 118 00:06:42,440 --> 00:06:44,920 Speaker 1: a lot of concern over what's what's going to be 119 00:06:44,960 --> 00:06:47,960 Speaker 1: the final caseload. In places like Las Vegas, for example, 120 00:06:47,960 --> 00:06:50,719 Speaker 1: we have huge influx of tourists from all over the world, 121 00:06:51,279 --> 00:06:53,799 Speaker 1: and as we know, at least in the early stages 122 00:06:53,800 --> 00:06:56,640 Speaker 1: of this, there's a direct correlation. There's a direct line 123 00:06:56,680 --> 00:07:02,080 Speaker 1: between travel from China, from Wuhan in particular, and the 124 00:07:02,120 --> 00:07:07,640 Speaker 1: areas around it. There's a direct correlation where those routes, 125 00:07:07,760 --> 00:07:11,400 Speaker 1: places and cities that have a lot of folks visiting 126 00:07:11,760 --> 00:07:14,360 Speaker 1: they got hit particularly hard. It's certainly the case with 127 00:07:14,440 --> 00:07:18,520 Speaker 1: Northern Italy where you have a massive influx of Chinese 128 00:07:18,600 --> 00:07:22,320 Speaker 1: nationals who for the Lunar New Year were traveling in particular, 129 00:07:22,320 --> 00:07:26,920 Speaker 1: but also because of the tech style industry in Northern Italy, 130 00:07:26,960 --> 00:07:29,920 Speaker 1: which is largely now run by and owned by a 131 00:07:29,920 --> 00:07:34,560 Speaker 1: lot of Chinese interests, it was just a perfect storm 132 00:07:34,680 --> 00:07:38,280 Speaker 1: for this virus. So the President is taking the approach 133 00:07:38,360 --> 00:07:40,160 Speaker 1: that he should here and I know that for a 134 00:07:40,200 --> 00:07:42,120 Speaker 1: few days there were a lot of libs who are 135 00:07:42,200 --> 00:07:44,680 Speaker 1: running around yelling about how if you even want to 136 00:07:44,720 --> 00:07:47,880 Speaker 1: have this conversation, you're doing so because you don't care 137 00:07:47,920 --> 00:07:52,920 Speaker 1: about Grandma. That's viciously aggressively stupid. And now we see 138 00:07:52,920 --> 00:07:57,360 Speaker 1: the experts, like even doctor Fauci, are saying, hey, guess what, 139 00:07:57,880 --> 00:08:00,640 Speaker 1: we are going to need to have a conversation about 140 00:08:00,640 --> 00:08:04,920 Speaker 1: what risks we take. And while we are taking risks, 141 00:08:05,120 --> 00:08:09,240 Speaker 1: there will be the possibility of rebounds that that's a 142 00:08:09,320 --> 00:08:12,720 Speaker 1: quote from doctor Fauci, rebounds of this virus. But the 143 00:08:12,760 --> 00:08:17,520 Speaker 1: alternative is just continued total lockdown, which other countries are 144 00:08:17,560 --> 00:08:20,200 Speaker 1: not going through that are dealing with this. You know, 145 00:08:20,240 --> 00:08:22,800 Speaker 1: South Korea is not in a state of absolute lockdown 146 00:08:22,920 --> 00:08:25,360 Speaker 1: the way that New York City is right now, and 147 00:08:25,400 --> 00:08:29,320 Speaker 1: the way that some other cities and states are. We're 148 00:08:29,320 --> 00:08:32,280 Speaker 1: also going to see a lot of tension between state 149 00:08:32,440 --> 00:08:38,760 Speaker 1: and local governments restricting travel, which you usually never see that, right, 150 00:08:38,760 --> 00:08:41,280 Speaker 1: I mean in this country. As much as producer Mark 151 00:08:41,280 --> 00:08:42,880 Speaker 1: and I might make jokes about the New York New 152 00:08:42,960 --> 00:08:46,000 Speaker 1: Jersey rivalry, there's never anybody in New Jersey who's like, 153 00:08:46,040 --> 00:08:47,800 Speaker 1: what are you doing crossing the river? You're supposed to 154 00:08:47,800 --> 00:08:50,480 Speaker 1: stay over there in New York. And you know, generally 155 00:08:50,480 --> 00:08:51,920 Speaker 1: we in New York are the ones are telling people 156 00:08:51,920 --> 00:08:54,720 Speaker 1: from New Jersey what are you doing? But nonetheless, right 157 00:08:54,760 --> 00:08:57,760 Speaker 1: now we're in a moment of absolute crisis, so much 158 00:08:57,800 --> 00:09:01,080 Speaker 1: so that you might have state authority, local authorities who 159 00:09:01,120 --> 00:09:03,920 Speaker 1: are saying no, no, no, you're not allowed to there's 160 00:09:03,960 --> 00:09:07,800 Speaker 1: no cross state, cross county travel unless you're in an 161 00:09:07,800 --> 00:09:13,120 Speaker 1: exempted situation. You're truck driver, you're you know, involved in 162 00:09:13,160 --> 00:09:17,840 Speaker 1: that life maintenance sector of the economy that's still open. 163 00:09:18,920 --> 00:09:22,600 Speaker 1: So this is why the patchwork approach. I guess you 164 00:09:22,600 --> 00:09:25,880 Speaker 1: could call it placed by place. County by county is 165 00:09:25,920 --> 00:09:28,680 Speaker 1: going to gain a lot of traction here soon because 166 00:09:29,080 --> 00:09:32,640 Speaker 1: we need areas that can have more commerce to do so, 167 00:09:33,280 --> 00:09:35,160 Speaker 1: we need to get the parts of our economy. We 168 00:09:35,200 --> 00:09:37,800 Speaker 1: are a very large country of three and twenty million people. 169 00:09:37,960 --> 00:09:41,080 Speaker 1: China has a billion people. Is China on lockdown the 170 00:09:41,080 --> 00:09:44,520 Speaker 1: whole country? No? Do we think that the Chinese government 171 00:09:44,600 --> 00:09:46,199 Speaker 1: is more adept at dealing with this? Do we think 172 00:09:46,200 --> 00:09:49,839 Speaker 1: that Chinese public health? One thing that I haven't talked 173 00:09:49,880 --> 00:09:52,800 Speaker 1: to you about before is there is a tremendous amount 174 00:09:52,800 --> 00:09:55,839 Speaker 1: and this does not really get you will not hear 175 00:09:55,880 --> 00:09:59,439 Speaker 1: about this from our media, But my contacts in China 176 00:09:59,520 --> 00:10:01,520 Speaker 1: have been talking to me in recent weeks about how 177 00:10:02,200 --> 00:10:05,240 Speaker 1: the Eastern medicine, which is the what we generally refer 178 00:10:05,320 --> 00:10:08,160 Speaker 1: to it as here, there's Eastern medicine that is really 179 00:10:09,360 --> 00:10:14,400 Speaker 1: very rudimentary and something more along the lines of which 180 00:10:14,440 --> 00:10:18,720 Speaker 1: you consider traditional and almost practices of magic. I don't 181 00:10:18,720 --> 00:10:20,440 Speaker 1: know what you would call it, but it's not base 182 00:10:20,520 --> 00:10:24,959 Speaker 1: really in science. That leads very much into these wet 183 00:10:25,000 --> 00:10:27,760 Speaker 1: markets in China where they're selling these different animals. Because 184 00:10:27,800 --> 00:10:30,960 Speaker 1: you might be thinking why why would anybody eat a 185 00:10:31,040 --> 00:10:33,760 Speaker 1: pangul in? They don't know what a taste like. Well, 186 00:10:34,080 --> 00:10:36,959 Speaker 1: in Eastern medicine, there are different animals and eating them 187 00:10:37,040 --> 00:10:40,080 Speaker 1: is considered. I mean, one of the more famous examples 188 00:10:39,960 --> 00:10:42,480 Speaker 1: as something they do with tigers and they make a 189 00:10:42,480 --> 00:10:45,080 Speaker 1: soup out of a part of a tiger. Rhinoceros horn. 190 00:10:45,160 --> 00:10:47,840 Speaker 1: This is another one that's very well known. Rhinoceros horn 191 00:10:47,880 --> 00:10:49,360 Speaker 1: is made out of keratin, the same thing that your 192 00:10:49,400 --> 00:10:52,280 Speaker 1: fingernails are made out of. And yet there is a 193 00:10:52,320 --> 00:10:55,840 Speaker 1: widespread belief across much of Asia. And I say widespread, 194 00:10:56,040 --> 00:10:59,760 Speaker 1: I'm not talking about people that are university professors in Beijing, 195 00:11:00,040 --> 00:11:04,960 Speaker 1: but among the less affluent educated populace of China in particular, 196 00:11:05,280 --> 00:11:07,920 Speaker 1: people think that this is a cure for different diseases. 197 00:11:08,520 --> 00:11:12,079 Speaker 1: And so that's just it's one I think instructive about 198 00:11:12,240 --> 00:11:14,240 Speaker 1: how we have these wet markets where you have one 199 00:11:14,320 --> 00:11:18,000 Speaker 1: hundred different wild animal species all brought together and inhumane 200 00:11:18,440 --> 00:11:24,000 Speaker 1: and deeply dangerous circumstances in terms of disease transmission. But 201 00:11:24,120 --> 00:11:26,800 Speaker 1: also the Chinese public health system is nowhere near our 202 00:11:26,840 --> 00:11:29,320 Speaker 1: public health system. You see them throwing together all these 203 00:11:29,360 --> 00:11:32,040 Speaker 1: hospitals really fast, Trust me, you don't want. If you 204 00:11:32,040 --> 00:11:34,319 Speaker 1: have a choice between being in a Chinese hospital being 205 00:11:34,320 --> 00:11:38,160 Speaker 1: an American hospital, the National Health Service in Britain is 206 00:11:38,200 --> 00:11:40,120 Speaker 1: a little scary. I'd probably rather be in Northern Italy, 207 00:11:40,280 --> 00:11:43,160 Speaker 1: but a European hospital, you'd much rather choose the latter. 208 00:11:43,920 --> 00:11:48,199 Speaker 1: So we'll get more into into China and what they're 209 00:11:48,200 --> 00:11:51,880 Speaker 1: doing right now, because their propaganda campaign is all out. 210 00:11:52,080 --> 00:11:53,599 Speaker 1: I mean, they really think that they're going to be 211 00:11:53,640 --> 00:11:56,960 Speaker 1: able to rewrite the history of this pandemic and blame 212 00:11:57,000 --> 00:11:59,400 Speaker 1: it on America, and we may go back in time 213 00:11:59,440 --> 00:12:01,400 Speaker 1: and look at this historical moment as a point at 214 00:12:01,400 --> 00:12:06,680 Speaker 1: which the Chinese began to establish This is their plan 215 00:12:07,160 --> 00:12:12,439 Speaker 1: that they began to establish true global hegemony because we 216 00:12:12,520 --> 00:12:16,839 Speaker 1: over extend ourselves financially and they managed to blame us 217 00:12:16,880 --> 00:12:19,680 Speaker 1: in a lot of ways for this. You know, there 218 00:12:20,320 --> 00:12:22,079 Speaker 1: I'll go through, and I know it sounds crazy, but 219 00:12:22,200 --> 00:12:25,840 Speaker 1: remember the first goal of propaganda for an authoritarian regime 220 00:12:25,840 --> 00:12:28,199 Speaker 1: a communist country like China. It's not really communist, but 221 00:12:28,280 --> 00:12:31,040 Speaker 1: it's the Communist Chinese Party or Chinese Communist Party that 222 00:12:31,120 --> 00:12:33,720 Speaker 1: runs it. The first goal of their propaganda is to 223 00:12:33,720 --> 00:12:37,120 Speaker 1: convince their own people. Convincing all of us as much. 224 00:12:37,200 --> 00:12:39,520 Speaker 1: So many of the messages that you see being fired 225 00:12:39,520 --> 00:12:44,080 Speaker 1: out are meant to give ammunition to the toadies of 226 00:12:44,120 --> 00:12:46,880 Speaker 1: the regime back in China. Hey see, this is what 227 00:12:46,920 --> 00:12:49,040 Speaker 1: the authorities are saying about what happened in America, and 228 00:12:49,080 --> 00:12:51,720 Speaker 1: they're going at the Americans with this must be kind 229 00:12:51,720 --> 00:12:54,640 Speaker 1: of true, right, So we have that to discuss. We 230 00:12:54,679 --> 00:12:56,840 Speaker 1: also have this bill. I mean, there's there's a ton 231 00:12:56,920 --> 00:13:01,160 Speaker 1: of moving pieces happening right now. Massy Congressman Massey getting 232 00:13:01,280 --> 00:13:05,040 Speaker 1: a lot of heat over trying to slow things down 233 00:13:05,120 --> 00:13:07,320 Speaker 1: because he says there's a lot of pork in this 234 00:13:08,040 --> 00:13:09,839 Speaker 1: Absolutely true. There is a lot of pork in this bill. 235 00:13:09,880 --> 00:13:13,840 Speaker 1: There's no question that this is another example of Congress 236 00:13:14,200 --> 00:13:17,520 Speaker 1: being unable to put aside its parochial interests and just 237 00:13:17,559 --> 00:13:20,280 Speaker 1: be serious about things in the most serious moment this 238 00:13:20,360 --> 00:13:23,200 Speaker 1: country has faced. Look, this is worse than nine to eleven. 239 00:13:23,200 --> 00:13:24,920 Speaker 1: I mean, I'm somebody who joined the CIA because of 240 00:13:24,960 --> 00:13:27,640 Speaker 1: nine to eleven. I know all about the terrorist groups 241 00:13:27,679 --> 00:13:30,160 Speaker 1: that were going after us, not just on that day, 242 00:13:30,200 --> 00:13:32,920 Speaker 1: but four years and years afterwards. I know about plots 243 00:13:32,920 --> 00:13:34,400 Speaker 1: that have come to light since then. I know about 244 00:13:34,400 --> 00:13:36,240 Speaker 1: a lot of plots that didn't get that far along, 245 00:13:36,280 --> 00:13:38,680 Speaker 1: but that would have been catastrophic that people don't know about. 246 00:13:39,520 --> 00:13:43,320 Speaker 1: You know, there's there's really very little comparison in my 247 00:13:43,360 --> 00:13:45,719 Speaker 1: mind between now and then, because we knew we were 248 00:13:45,720 --> 00:13:47,320 Speaker 1: facing an enemy it was going to be rough, but 249 00:13:47,400 --> 00:13:49,800 Speaker 1: we knew we would win that, and we know we 250 00:13:49,840 --> 00:13:52,440 Speaker 1: will win this too. But the casualties that we face 251 00:13:52,559 --> 00:13:55,719 Speaker 1: here remained very much a big question. We were never 252 00:13:55,760 --> 00:14:00,720 Speaker 1: going to have a mass casualty event fighting against realistically, 253 00:14:00,760 --> 00:14:05,320 Speaker 1: fighting against al Qaeda, fighting against Iraq or Afghanistan. It 254 00:14:05,360 --> 00:14:09,400 Speaker 1: just wasn't going to happen because of our military superiority here. 255 00:14:09,480 --> 00:14:11,679 Speaker 1: You know, I still think that the lower end of 256 00:14:11,720 --> 00:14:15,559 Speaker 1: the spectrum of losses is much more likely for us. 257 00:14:16,040 --> 00:14:18,360 Speaker 1: But there are circumstances. I mean, I've been reading, as 258 00:14:18,360 --> 00:14:21,240 Speaker 1: a lot of other people have, about the Spanish influenza 259 00:14:21,280 --> 00:14:24,600 Speaker 1: pandemic of nineteen eighteen, and there are circumstances where this 260 00:14:24,640 --> 00:14:26,200 Speaker 1: could get a whole lot worse. And get that control 261 00:14:26,320 --> 00:14:30,240 Speaker 1: what happens when the southern hemisphere goes into winter, by 262 00:14:30,280 --> 00:14:33,480 Speaker 1: the way, and you have countries with much less developed 263 00:14:33,480 --> 00:14:35,560 Speaker 1: public health systems that are much poorer but also have 264 00:14:36,120 --> 00:14:40,000 Speaker 1: serious population density. There are some places what happens when 265 00:14:40,440 --> 00:14:43,200 Speaker 1: they are faced with this, and how do we deal 266 00:14:43,240 --> 00:14:45,080 Speaker 1: with the rebound of it. But the rebound won't be, 267 00:14:46,400 --> 00:14:48,120 Speaker 1: i should say, the second wave. The rebound would just 268 00:14:48,200 --> 00:14:50,600 Speaker 1: be a minor an outbreak in addition of what we've 269 00:14:50,600 --> 00:14:55,720 Speaker 1: already seen here. Fauci addressed this yesterday. The second wave 270 00:14:55,720 --> 00:14:57,480 Speaker 1: would be what we would see in the fall when 271 00:14:57,480 --> 00:15:00,200 Speaker 1: this makes a comeback, which it will, so need to 272 00:15:00,240 --> 00:15:03,480 Speaker 1: get to that as well. But the fundamental point here 273 00:15:03,560 --> 00:15:08,520 Speaker 1: is that we now are we're waging two battles simultaneously, 274 00:15:08,840 --> 00:15:13,200 Speaker 1: all right. Two battles are underway, the fight against the virus, 275 00:15:13,200 --> 00:15:15,960 Speaker 1: to minimize casualties, to take care of as many Americans 276 00:15:15,960 --> 00:15:18,240 Speaker 1: as we can get the equipment out there. That's one. 277 00:15:18,480 --> 00:15:23,600 Speaker 1: The other is to understand the risks, take intelligent risks, 278 00:15:24,160 --> 00:15:26,400 Speaker 1: know that it won't be perfect. But we've got to 279 00:15:26,440 --> 00:15:30,840 Speaker 1: get out there and start going, start going forward with 280 00:15:30,880 --> 00:15:34,160 Speaker 1: economic activity so that we can do the first thing, 281 00:15:34,560 --> 00:15:36,840 Speaker 1: because this fight is going to extend for a long time. 282 00:15:37,160 --> 00:15:40,000 Speaker 1: Someone needs to feed and pay our medical personnel. Someone 283 00:15:40,040 --> 00:15:43,880 Speaker 1: needs to feed and and well, you know, give the 284 00:15:43,960 --> 00:15:46,000 Speaker 1: money to keep them fed. But we need to pay 285 00:15:46,000 --> 00:15:48,400 Speaker 1: for you know, people that are in our supply chain. 286 00:15:48,680 --> 00:15:51,880 Speaker 1: Truck drivers, first responders, police fire, I mean, all the 287 00:15:52,320 --> 00:15:56,560 Speaker 1: all the officials that are holding civilization together right now. 288 00:15:56,880 --> 00:16:00,680 Speaker 1: They rely on economic activity. Without that economic activity, they 289 00:16:00,720 --> 00:16:03,000 Speaker 1: can't do what they're doing to fight against the virus. 290 00:16:03,520 --> 00:16:06,120 Speaker 1: So now we've moved into that phase of recognition, even 291 00:16:06,120 --> 00:16:08,560 Speaker 1: before we've hit the biggest spike, which is going to 292 00:16:08,560 --> 00:16:10,960 Speaker 1: be within a couple of weeks. So, like I said, 293 00:16:11,000 --> 00:16:13,000 Speaker 1: team a lot to get to you today, So strap 294 00:16:13,040 --> 00:16:17,920 Speaker 1: in for it. You're in the Freedom Hunt. This is 295 00:16:17,960 --> 00:16:25,000 Speaker 1: the Buck Sexton Show podcast. This is Governor Greg Abbott 296 00:16:25,080 --> 00:16:28,280 Speaker 1: saying thank you to the truckers who are hauling all 297 00:16:28,280 --> 00:16:31,480 Speaker 1: the goods and supplies across the Texas that are so 298 00:16:31,600 --> 00:16:34,480 Speaker 1: desperately needed. Thank you for taking them to the grocery 299 00:16:34,480 --> 00:16:36,880 Speaker 1: stores so the other stores to make sure that all 300 00:16:36,880 --> 00:16:39,800 Speaker 1: the shoppers and Texas and our fellow Texans they have 301 00:16:39,920 --> 00:16:42,200 Speaker 1: these needs for the supplies that you're delivering, and they 302 00:16:42,200 --> 00:16:45,400 Speaker 1: wouldn't be there without you taking them there. Thank you 303 00:16:45,480 --> 00:16:48,600 Speaker 1: for your tireless work to make sure Texans will have 304 00:16:48,680 --> 00:16:52,120 Speaker 1: all the supplies they need. God bless our truckers and 305 00:16:52,280 --> 00:16:55,360 Speaker 1: God bless Texas. You know there's that saying attributed to 306 00:16:55,440 --> 00:16:59,160 Speaker 1: Napoleon that an army marches on its stomach. Well, if 307 00:16:59,200 --> 00:17:02,520 Speaker 1: we're in right now a war against a virus, we 308 00:17:02,560 --> 00:17:04,760 Speaker 1: also are marching on our stomachs and the only way 309 00:17:04,760 --> 00:17:07,359 Speaker 1: that we can keep them full is because of our 310 00:17:07,440 --> 00:17:10,560 Speaker 1: distro and supply chain, and truckers are the backbone of that. 311 00:17:10,680 --> 00:17:12,680 Speaker 1: I know, we have so many of you who listen 312 00:17:12,720 --> 00:17:16,000 Speaker 1: to this show, either on stations as you criss crossed 313 00:17:16,040 --> 00:17:18,760 Speaker 1: the country, are also on podcast. Thank you for doing 314 00:17:18,800 --> 00:17:20,520 Speaker 1: what you do, and you know, every day we'll try 315 00:17:20,560 --> 00:17:22,680 Speaker 1: to give some shout outs to the people that are 316 00:17:22,680 --> 00:17:25,280 Speaker 1: the reason why you know, here in New York City, 317 00:17:25,280 --> 00:17:29,520 Speaker 1: for example, which is so hardly, so hard hit by this. 318 00:17:30,840 --> 00:17:34,160 Speaker 1: Here in New York City, we only have grocery stores. 319 00:17:34,200 --> 00:17:37,439 Speaker 1: I mean, if the grocery stores started having shortages, you 320 00:17:37,480 --> 00:17:40,120 Speaker 1: would have panic and riots. So the people that are 321 00:17:40,119 --> 00:17:44,320 Speaker 1: delivering food to the stores here that are making sure 322 00:17:44,359 --> 00:17:47,960 Speaker 1: that you know, we still have groceries, you know, basic medicine, 323 00:17:48,320 --> 00:17:51,840 Speaker 1: household goods. And I understand that there's some concern too. 324 00:17:51,920 --> 00:17:53,320 Speaker 1: People have got to get out of the truck, they 325 00:17:53,400 --> 00:17:55,240 Speaker 1: got to unload. You know, no one wants to get sick. 326 00:17:55,240 --> 00:17:58,160 Speaker 1: We all understand, but they're keeping this country going. So 327 00:17:58,359 --> 00:18:01,280 Speaker 1: we are also an army in America against this virus 328 00:18:01,280 --> 00:18:03,480 Speaker 1: that marches on our stomach. And the people that are 329 00:18:03,520 --> 00:18:07,600 Speaker 1: delivering in and cooking and preparing food as well, people 330 00:18:07,640 --> 00:18:10,159 Speaker 1: that are still staying open, restaurants that are trying to 331 00:18:10,600 --> 00:18:12,359 Speaker 1: I mean it's bleak out there. I went for a 332 00:18:12,359 --> 00:18:16,240 Speaker 1: walk last night down one of the most crowded streets, 333 00:18:16,240 --> 00:18:19,639 Speaker 1: I mean a place where usually you would be dodging 334 00:18:20,359 --> 00:18:25,280 Speaker 1: just tourists every two steps and street performers, and especially 335 00:18:25,320 --> 00:18:29,000 Speaker 1: this time year, no men's land. It was like crossing 336 00:18:29,040 --> 00:18:33,600 Speaker 1: over from English to German lines in Flanders in the 337 00:18:33,640 --> 00:18:35,960 Speaker 1: First World War. I mean, there was nothing out there. 338 00:18:36,280 --> 00:18:39,320 Speaker 1: Stores all shut down, some of them now boarded up 339 00:18:40,280 --> 00:18:43,200 Speaker 1: just in case. That's a little bit of an ominous sign. 340 00:18:43,800 --> 00:18:45,920 Speaker 1: But thank you for keeping all of you out there. 341 00:18:45,960 --> 00:18:48,720 Speaker 1: Thank you for keeping the stores stocked, because that is 342 00:18:48,800 --> 00:18:51,159 Speaker 1: essential right now. We've got to keep our medical providers 343 00:18:51,480 --> 00:18:53,439 Speaker 1: geared up, and we got to keep our stores stocked 344 00:18:53,680 --> 00:18:56,399 Speaker 1: or else we're gonna have even bigger problems. Thanks for 345 00:18:56,480 --> 00:19:00,280 Speaker 1: listening to The Bus Sesson Show podcasts. Remember to subscribe 346 00:19:00,320 --> 00:19:03,720 Speaker 1: on Apple podcast, the iHeartRadio app, or wherever you get 347 00:19:03,760 --> 00:19:07,479 Speaker 1: your podcasts. I'm sure many of you saw the recent 348 00:19:07,560 --> 00:19:13,639 Speaker 1: report out of the UK about them adjusting completely their needs. 349 00:19:14,440 --> 00:19:17,280 Speaker 1: This is really quite important if you remember. That was 350 00:19:17,320 --> 00:19:19,920 Speaker 1: the report that said there would be five hundred thousand 351 00:19:19,920 --> 00:19:23,119 Speaker 1: deaths in the UK and two point two million deaths 352 00:19:23,160 --> 00:19:25,959 Speaker 1: in the United States. They've adjusted that number in the 353 00:19:26,080 --> 00:19:30,560 Speaker 1: UK to twenty thousand, so half a million to twenty thousand. 354 00:19:30,640 --> 00:19:34,680 Speaker 1: We're looking into this in great detail. To understand that adjustment, 355 00:19:35,040 --> 00:19:37,280 Speaker 1: I'm going to say something that's a little bit complicated, 356 00:19:37,680 --> 00:19:39,040 Speaker 1: but I'm going to try to do it in a 357 00:19:39,080 --> 00:19:42,240 Speaker 1: way that we can all understand it together. In the model, 358 00:19:42,600 --> 00:19:46,679 Speaker 1: either you have to have a large group of people 359 00:19:46,680 --> 00:19:50,200 Speaker 1: who are asymptomatic who have never presented for any test. 360 00:19:51,119 --> 00:19:53,640 Speaker 1: In order to have the kind of numbers that were 361 00:19:53,720 --> 00:19:57,840 Speaker 1: predicted to get to sixty million people infected, or of 362 00:19:58,040 --> 00:20:01,719 Speaker 1: six million people infected, you have to have a large 363 00:20:01,760 --> 00:20:05,439 Speaker 1: group of asymptomatics, because in no country to date have 364 00:20:05,560 --> 00:20:08,560 Speaker 1: we seen an attack rate over one in a thousand. 365 00:20:08,800 --> 00:20:12,320 Speaker 1: So either we're only measuring the tip of the iceberg 366 00:20:12,400 --> 00:20:16,800 Speaker 1: of the symptomatic cases, and underneath it are a large 367 00:20:16,840 --> 00:20:19,960 Speaker 1: group of people. So we're working very hard to get 368 00:20:19,960 --> 00:20:22,760 Speaker 1: that antibody test because that's a good way to figure 369 00:20:22,760 --> 00:20:25,239 Speaker 1: out who are all these people under here and do 370 00:20:25,320 --> 00:20:30,400 Speaker 1: they exist or we have the transmission completely wrong. So 371 00:20:30,440 --> 00:20:34,320 Speaker 1: these are the things we're looking at because the predictions 372 00:20:34,440 --> 00:20:37,280 Speaker 1: of the models don't match the reality on the ground 373 00:20:37,320 --> 00:20:41,639 Speaker 1: in either China, South Korea, or Italy. We are about 374 00:20:41,720 --> 00:20:46,000 Speaker 1: five times the size of Italy. So if we were 375 00:20:46,040 --> 00:20:49,280 Speaker 1: Italy and you did all those divisions, Italy should have 376 00:20:49,440 --> 00:20:53,000 Speaker 1: close to four hundred thousand deaths. They're not close to 377 00:20:53,040 --> 00:20:55,840 Speaker 1: achieving that. So these are the kinds of things we're 378 00:20:55,840 --> 00:20:59,720 Speaker 1: trying to understand. Models or models. The models do not 379 00:20:59,800 --> 00:21:02,600 Speaker 1: want up with what we've seen as reality so far. 380 00:21:02,680 --> 00:21:07,280 Speaker 1: That's doctor Deborah Burkes, who I think has become for 381 00:21:07,400 --> 00:21:09,679 Speaker 1: some people. I mean, it's Burkes and Fauci obviously who 382 00:21:09,680 --> 00:21:12,520 Speaker 1: are at the press conference that are both providing a 383 00:21:12,560 --> 00:21:16,000 Speaker 1: tremendous amount of really useful information, and by the information 384 00:21:16,080 --> 00:21:19,359 Speaker 1: is quite useful. We're all making decisions, at least in 385 00:21:19,600 --> 00:21:21,800 Speaker 1: particularly affected areas. I know for a lot of you, 386 00:21:22,600 --> 00:21:25,040 Speaker 1: this is mostly right now an economic issue because you're 387 00:21:25,119 --> 00:21:27,199 Speaker 1: there are counties where there are zero cases of this 388 00:21:27,280 --> 00:21:30,800 Speaker 1: that are at least known so far, but understand that 389 00:21:30,920 --> 00:21:34,000 Speaker 1: there will be some cases in a whole lot more counties, 390 00:21:34,520 --> 00:21:39,119 Speaker 1: and the economic reality of what this is doing in 391 00:21:39,240 --> 00:21:41,800 Speaker 1: cities is something that affects the whole country. So that's 392 00:21:41,840 --> 00:21:44,280 Speaker 1: obviously why we're all in this together. Even if you're 393 00:21:44,280 --> 00:21:46,760 Speaker 1: in a place where you know, you see two people 394 00:21:46,800 --> 00:21:49,720 Speaker 1: a week outside your own family, and you don't think 395 00:21:49,720 --> 00:21:53,520 Speaker 1: that there's any real threat of of COVID infecting you know, 396 00:21:53,560 --> 00:21:56,480 Speaker 1: your township which has two hundred residents, right, So for 397 00:21:56,520 --> 00:21:58,639 Speaker 1: those who are in areas like that, I understand you're 398 00:21:58,680 --> 00:22:01,960 Speaker 1: looking at this like why do we have to Why 399 00:22:02,080 --> 00:22:05,720 Speaker 1: is has the response been as extreme as possible? And 400 00:22:06,560 --> 00:22:09,199 Speaker 1: the real turning point here was Italy, And honestly it 401 00:22:09,240 --> 00:22:12,359 Speaker 1: was that there were two moments that I saw where 402 00:22:12,720 --> 00:22:15,880 Speaker 1: my analysis of this had to ratchet up, and it 403 00:22:15,920 --> 00:22:19,080 Speaker 1: was when we first saw real data out of Italy, 404 00:22:19,359 --> 00:22:21,240 Speaker 1: and it was very you know, it's very hard with 405 00:22:21,359 --> 00:22:23,919 Speaker 1: China and looking at all the modeling, and you have 406 00:22:24,000 --> 00:22:26,440 Speaker 1: so many different factors that come into play when people 407 00:22:26,480 --> 00:22:28,720 Speaker 1: are talking about how bad this will be. There are 408 00:22:28,800 --> 00:22:32,280 Speaker 1: some who very clearly act with some degree of bad 409 00:22:32,320 --> 00:22:35,240 Speaker 1: faith and do not you know, that they want this 410 00:22:35,359 --> 00:22:38,640 Speaker 1: to be on the worst side at least for the administration. 411 00:22:38,760 --> 00:22:40,800 Speaker 1: They want to make sure they can blame the administration, 412 00:22:40,840 --> 00:22:42,520 Speaker 1: and it needs to be pretty bad for that to 413 00:22:42,560 --> 00:22:44,959 Speaker 1: be the case. That's we've been aware of that from 414 00:22:45,000 --> 00:22:47,640 Speaker 1: the beginning. People have been blaming Trump from before there 415 00:22:47,720 --> 00:22:50,400 Speaker 1: was even a response. I was on the Bill mar 416 00:22:50,440 --> 00:22:53,320 Speaker 1: Show and we had had not a single US death 417 00:22:53,440 --> 00:22:55,840 Speaker 1: from COVID nineteen and they're saying that Trump boxs the 418 00:22:55,920 --> 00:22:58,680 Speaker 1: response and he's terrible and we're all going to die. 419 00:22:59,040 --> 00:23:00,959 Speaker 1: And I'm looking at them saying, I don't even understand 420 00:23:01,000 --> 00:23:04,160 Speaker 1: how we can have this conversation before we know what 421 00:23:04,240 --> 00:23:06,360 Speaker 1: has happened. But you know, they hate Trump and that's 422 00:23:06,359 --> 00:23:08,440 Speaker 1: all that really, that's all that really matters to them. 423 00:23:08,840 --> 00:23:13,159 Speaker 1: Is very difficult to make assessments, good assessments of this 424 00:23:13,280 --> 00:23:15,240 Speaker 1: based on the Chinese data, because we know the Chinese 425 00:23:15,280 --> 00:23:19,080 Speaker 1: are lying, and we know that the Chinese Communist Party 426 00:23:19,160 --> 00:23:22,440 Speaker 1: is ruthless. I mean, China is a modern state. It's 427 00:23:22,480 --> 00:23:25,280 Speaker 1: the second wealthiest country in the world now by GDP, 428 00:23:25,720 --> 00:23:29,680 Speaker 1: and you know, China is a modern state that still 429 00:23:29,760 --> 00:23:34,400 Speaker 1: has internment camps for the wagers in Western China. So 430 00:23:34,600 --> 00:23:37,680 Speaker 1: we understand it's a deeply immoral country. I mean, now 431 00:23:37,680 --> 00:23:39,960 Speaker 1: they execute people for corruption and no one even really 432 00:23:39,960 --> 00:23:41,840 Speaker 1: knows what the person did. I mean, there's all kinds 433 00:23:41,840 --> 00:23:45,040 Speaker 1: of It's a thugocracy, a really powerful one. In fact, 434 00:23:45,080 --> 00:23:46,720 Speaker 1: it's very similar in a lot of ways to what 435 00:23:46,760 --> 00:23:51,080 Speaker 1: you have in Russia, where instead in Russia it's concentrated 436 00:23:51,119 --> 00:23:54,600 Speaker 1: in Putin and his circle of cronies, but it's really Putin. 437 00:23:54,920 --> 00:23:58,359 Speaker 1: In China, it's just a committee instead of an individual, 438 00:23:58,680 --> 00:24:03,359 Speaker 1: but really wields the same absolute power and authoritarianism. And 439 00:24:03,400 --> 00:24:05,920 Speaker 1: so in the early days they were suppressing information coming 440 00:24:05,920 --> 00:24:08,080 Speaker 1: out of China as much as they possibly could. So 441 00:24:08,119 --> 00:24:11,440 Speaker 1: it's very hard to make real determinations. It wasn't until 442 00:24:11,440 --> 00:24:14,119 Speaker 1: we saw what happened in Italy then it was okay, 443 00:24:14,119 --> 00:24:16,120 Speaker 1: this is going to be a real threat to our 444 00:24:16,160 --> 00:24:20,480 Speaker 1: elderly and immunosuppress populations. And then when President Trump said 445 00:24:20,480 --> 00:24:22,280 Speaker 1: that we were doing the shutdown of all travel from 446 00:24:22,320 --> 00:24:24,400 Speaker 1: Europe that night, that was another That was the other 447 00:24:24,440 --> 00:24:29,000 Speaker 1: shoe dropping for me. All of that said, here we 448 00:24:29,080 --> 00:24:32,920 Speaker 1: are now deeper into this crisis, and there are still 449 00:24:33,000 --> 00:24:36,560 Speaker 1: people who are putting out what I would consider to 450 00:24:36,600 --> 00:24:40,800 Speaker 1: be very irresponsible projections about what is likely to happen. 451 00:24:41,119 --> 00:24:45,560 Speaker 1: What is possible to happen is not really relevant. What 452 00:24:46,320 --> 00:24:51,040 Speaker 1: could theoretically occur is not something that should be widely publicized. 453 00:24:51,320 --> 00:24:53,919 Speaker 1: You know, what could happen in any given year. A 454 00:24:54,000 --> 00:24:56,520 Speaker 1: flu virus could mutate and all of a sudden, we 455 00:24:56,560 --> 00:24:59,600 Speaker 1: have a global pandemic that comes out of nowhere. I 456 00:24:59,640 --> 00:25:03,320 Speaker 1: mean that it happened tomorrow. So what could is not 457 00:25:03,440 --> 00:25:07,000 Speaker 1: something that should get nearly the attention. But from the media. 458 00:25:07,240 --> 00:25:11,960 Speaker 1: You have two very powerful impulses that affect so much 459 00:25:12,000 --> 00:25:13,840 Speaker 1: of the way that they're doing their jobs right now. 460 00:25:13,880 --> 00:25:17,600 Speaker 1: One is there is maybe it's subconscious, although I think 461 00:25:17,640 --> 00:25:21,040 Speaker 1: in some it's conscious, but a desire for a catastrophe, 462 00:25:21,200 --> 00:25:24,600 Speaker 1: for catastrophe that they can pin on President Trump. And 463 00:25:24,720 --> 00:25:29,440 Speaker 1: also just the if it bleeds it leads concept on steroids, 464 00:25:30,359 --> 00:25:33,520 Speaker 1: things that are scary get clicks. I can't tell you 465 00:25:33,560 --> 00:25:36,560 Speaker 1: how many stories I see, and it's getting very annoying 466 00:25:37,480 --> 00:25:39,600 Speaker 1: because I think it's so dishonest and it's just adding 467 00:25:39,640 --> 00:25:43,200 Speaker 1: to everybody's anxiety. But you keep seeing these stories about, 468 00:25:43,240 --> 00:25:47,680 Speaker 1: you know, healthy, healthy, forty two year old dies from 469 00:25:47,720 --> 00:25:50,920 Speaker 1: COVID nineteen in some American city or you know, here 470 00:25:50,920 --> 00:25:53,199 Speaker 1: in New York wherever, And then you read in and 471 00:25:53,240 --> 00:25:56,280 Speaker 1: you find out, well, he's you know, he was somebody 472 00:25:56,280 --> 00:26:00,600 Speaker 1: who had chronic emphysema and type one diabetes ease or something, 473 00:26:00,600 --> 00:26:02,000 Speaker 1: and you go, okay, well, I mean, this is still 474 00:26:02,000 --> 00:26:04,480 Speaker 1: a tragedy for this person in his family. But they're 475 00:26:04,560 --> 00:26:09,600 Speaker 1: obviously overselling the risk to the healthy in the in 476 00:26:09,640 --> 00:26:12,040 Speaker 1: the headline as a means of scaring even more people 477 00:26:12,040 --> 00:26:16,480 Speaker 1: than are already scared. So there's a lot of irresponsible 478 00:26:16,480 --> 00:26:19,920 Speaker 1: stuff going on, and doctor Burke's is trying to address 479 00:26:20,080 --> 00:26:23,040 Speaker 1: that as best she can here by saying, look, we 480 00:26:23,200 --> 00:26:27,960 Speaker 1: can't even All we do all day is try to 481 00:26:27,960 --> 00:26:29,879 Speaker 1: look at what's happening and what we can do and 482 00:26:29,920 --> 00:26:33,399 Speaker 1: how we can mitigate risk, and how we can anticipate 483 00:26:33,920 --> 00:26:37,480 Speaker 1: things going even more badly in a certain area. And 484 00:26:37,800 --> 00:26:41,119 Speaker 1: there's just no way that the projection of two million 485 00:26:41,160 --> 00:26:44,320 Speaker 1: dead Americans based on this study in the UK and 486 00:26:44,480 --> 00:26:49,320 Speaker 1: six hundred thousand dead Brits that attracts with what we're 487 00:26:49,359 --> 00:26:52,320 Speaker 1: seeing right now already happened in Italy. Italy was essentially 488 00:26:52,640 --> 00:26:57,360 Speaker 1: give this disease in a confined part of a densely 489 00:26:57,440 --> 00:27:02,040 Speaker 1: populated country, give the disease a solid month of just 490 00:27:02,160 --> 00:27:05,400 Speaker 1: total rampant spread, no one knows what's going on, and 491 00:27:05,520 --> 00:27:08,680 Speaker 1: then try to deal with it. So we would think 492 00:27:08,720 --> 00:27:11,760 Speaker 1: that that should be you know, the percentages on that 493 00:27:12,440 --> 00:27:15,720 Speaker 1: would give us a real sense of worst case scenario. 494 00:27:16,080 --> 00:27:19,520 Speaker 1: And even the Italian scenario doesn't add up to what 495 00:27:19,560 --> 00:27:21,480 Speaker 1: the UK is seeing. And right now we're taking all 496 00:27:21,520 --> 00:27:25,359 Speaker 1: these measures. I mean, you don't mean New York is 497 00:27:25,400 --> 00:27:27,560 Speaker 1: the most crowded part of the United States, the dent 498 00:27:27,680 --> 00:27:31,200 Speaker 1: most densely populated. If eight point six I think something 499 00:27:31,240 --> 00:27:33,040 Speaker 1: like that million people to live here, it's a lot. 500 00:27:33,800 --> 00:27:37,040 Speaker 1: And you can walk around the streets here and not 501 00:27:37,080 --> 00:27:40,520 Speaker 1: coming to not be within ten feet of anybody, you know, easily. 502 00:27:40,960 --> 00:27:42,320 Speaker 1: You can walk around the streets and not even so 503 00:27:42,440 --> 00:27:45,280 Speaker 1: you can basically walk down the street, not the sidewalk, 504 00:27:45,320 --> 00:27:47,680 Speaker 1: and cars there's only a few coming by. They'll just 505 00:27:47,760 --> 00:27:50,600 Speaker 1: drive around you. That's where we already are, so clearly, 506 00:27:50,800 --> 00:27:52,760 Speaker 1: I mean, I just bring that up because there's massive 507 00:27:52,880 --> 00:27:55,080 Speaker 1: changes that are underway right now to limit the spread 508 00:27:55,119 --> 00:27:58,160 Speaker 1: of this thing, and that's not really being taken into 509 00:27:58,200 --> 00:28:02,320 Speaker 1: account by those initial moles that we saw. So I 510 00:28:02,720 --> 00:28:06,919 Speaker 1: think that that's really important for everybody to remember. You know, 511 00:28:06,960 --> 00:28:09,800 Speaker 1: there's also there are these scientists that have come out 512 00:28:09,880 --> 00:28:14,800 Speaker 1: at at Stanford, super smart Stanford guys and not Unitas. 513 00:28:15,359 --> 00:28:17,880 Speaker 1: I know, I feel like I pronounced that like producer Mark. 514 00:28:17,960 --> 00:28:21,200 Speaker 1: Wasn't that a football coach or a player? Johnny United 515 00:28:21,280 --> 00:28:23,239 Speaker 1: is just one of the best players of all time, right, 516 00:28:23,240 --> 00:28:25,360 Speaker 1: one of the Okay, he's a player. Yeah, but this 517 00:28:25,440 --> 00:28:28,200 Speaker 1: guy is like Eonitis. It's like a Greek name. It's 518 00:28:28,200 --> 00:28:31,280 Speaker 1: not Nitis, you know, it's like something close. Anyway, he 519 00:28:31,440 --> 00:28:35,640 Speaker 1: did the analysis of this that it wasn't really quite as, 520 00:28:37,040 --> 00:28:39,680 Speaker 1: it wasn't going to be as deadly as everyone had 521 00:28:39,720 --> 00:28:42,480 Speaker 1: been saying. And then you had two other people at Stanford, 522 00:28:42,520 --> 00:28:44,760 Speaker 1: a medical researchers who have also crunched the numbers, and 523 00:28:44,760 --> 00:28:47,640 Speaker 1: they've said that, look, we we ran this. We've run 524 00:28:47,720 --> 00:28:49,800 Speaker 1: this experiment a little bit in Italy where you've had 525 00:28:49,840 --> 00:28:53,840 Speaker 1: rampant spread among an elderly population and on a cruise ship. 526 00:28:54,560 --> 00:28:57,920 Speaker 1: And you know, if this disease just spreads in a 527 00:28:57,960 --> 00:29:02,640 Speaker 1: confined area, you're looking about one one percent fatality rate 528 00:29:02,640 --> 00:29:05,520 Speaker 1: and maybe a ten to fifteen percent hospitalization rate something 529 00:29:05,600 --> 00:29:11,000 Speaker 1: along those lines. Now, that would be just spreading entirely 530 00:29:11,080 --> 00:29:14,680 Speaker 1: in a confined area with no mitigation measures, with no 531 00:29:14,840 --> 00:29:17,480 Speaker 1: knowledge of social distancing or anything else that's going on. 532 00:29:17,920 --> 00:29:20,880 Speaker 1: That's clearly not what we are clearly not what we're facing. 533 00:29:21,280 --> 00:29:25,560 Speaker 1: And in truth, they're going to find out. There are 534 00:29:25,480 --> 00:29:26,920 Speaker 1: a couple of things that are going on now. One 535 00:29:27,040 --> 00:29:30,280 Speaker 1: is they're going to find out and most experts are 536 00:29:30,320 --> 00:29:32,480 Speaker 1: saying this, and I and my gut believe this. So 537 00:29:32,760 --> 00:29:37,160 Speaker 1: I'm going on expert knowledge here. I don't have expert knowledge, 538 00:29:37,200 --> 00:29:40,040 Speaker 1: but I'm also telling you that this adds up for me, 539 00:29:40,080 --> 00:29:41,840 Speaker 1: This makes sense for me, and I am the gun. 540 00:29:41,920 --> 00:29:45,360 Speaker 1: I was reminded yesterday that I've been saying. I think 541 00:29:45,360 --> 00:29:47,440 Speaker 1: it was in July or August when I was asked 542 00:29:47,440 --> 00:29:49,080 Speaker 1: what keeps me up at night? And now I remember, 543 00:29:49,480 --> 00:29:51,920 Speaker 1: and I said pandemic disease. And I've also a few 544 00:29:51,920 --> 00:29:54,280 Speaker 1: times said these idiots that are worried about climate change 545 00:29:54,280 --> 00:29:56,680 Speaker 1: should be worried about pandemic disease. I've said that in 546 00:29:56,680 --> 00:29:58,520 Speaker 1: the last year. I mean, if those of you listen 547 00:29:58,560 --> 00:30:00,280 Speaker 1: to the show enough, no that that's the truth. I'm 548 00:30:00,280 --> 00:30:02,360 Speaker 1: just saying some of us knew that this was a problem. 549 00:30:02,480 --> 00:30:04,360 Speaker 1: While the lunatics are running around saying the world was 550 00:30:04,360 --> 00:30:08,120 Speaker 1: gonna melt because of cow farts. So stepping back for 551 00:30:08,160 --> 00:30:11,040 Speaker 1: a second, here to what we've seen in the well, 552 00:30:11,120 --> 00:30:13,840 Speaker 1: you know, with the overall numbers, because now you know 553 00:30:13,920 --> 00:30:17,720 Speaker 1: CNN yesterday was doing this whole America has more cases 554 00:30:17,720 --> 00:30:20,360 Speaker 1: than any other country. First of all, bull all right, 555 00:30:20,480 --> 00:30:24,120 Speaker 1: we have more cases that we know about because China 556 00:30:23,760 --> 00:30:26,440 Speaker 1: is trying to cook the books and they have been 557 00:30:26,440 --> 00:30:29,200 Speaker 1: from the very beginning this People keep saying this is 558 00:30:29,280 --> 00:30:33,120 Speaker 1: China's Chernobyl. Now Chernobyl was, and the you know, the 559 00:30:33,160 --> 00:30:34,920 Speaker 1: show is very good, although aise I told you there's 560 00:30:34,920 --> 00:30:39,640 Speaker 1: a lot of unnecessary poetic license they took. Radiation is 561 00:30:39,680 --> 00:30:42,880 Speaker 1: not contagious from person to person. You know, someone doesn't 562 00:30:42,880 --> 00:30:45,000 Speaker 1: get irradiated and then a week later they hugged their 563 00:30:45,040 --> 00:30:47,120 Speaker 1: wife and the wife will die. That's not how it works. 564 00:30:47,600 --> 00:30:48,840 Speaker 1: So I don't know why they had to do that. 565 00:30:48,920 --> 00:30:52,160 Speaker 1: It's scary enough without doing that stuff. So but the 566 00:30:52,200 --> 00:30:55,760 Speaker 1: reason that Chernobyl was so, you know, it is something 567 00:30:55,800 --> 00:30:58,200 Speaker 1: that's so historically powerful in our memory. One because the 568 00:30:58,200 --> 00:31:01,920 Speaker 1: show was actually quite good, quite well done, but also 569 00:31:02,360 --> 00:31:04,760 Speaker 1: it was at the end, I mean, the Soviet Empire 570 00:31:04,880 --> 00:31:10,760 Speaker 1: was already a sclerotic, crappy, inept rule of idiots, and 571 00:31:10,800 --> 00:31:13,400 Speaker 1: so that just made everyone think, these these morons can't 572 00:31:13,400 --> 00:31:16,040 Speaker 1: do anything right, you know, and you have the Soviet 573 00:31:16,080 --> 00:31:19,160 Speaker 1: Afghan War, same idea. These idiots can't even they can't 574 00:31:19,200 --> 00:31:23,840 Speaker 1: even you know, with throwing everything they've got at these mujahideen, 575 00:31:23,880 --> 00:31:25,880 Speaker 1: they can't even beat them. They got Chernoble, I mean, 576 00:31:25,880 --> 00:31:27,760 Speaker 1: they just look like a bunch of morons, which they were. 577 00:31:28,880 --> 00:31:31,800 Speaker 1: And so that's how the Soviet Polite Burrow and the 578 00:31:31,800 --> 00:31:34,440 Speaker 1: Soviet you know, High Committee and all that fell. And 579 00:31:34,600 --> 00:31:38,880 Speaker 1: you have in China a much bigger issue than Chernobyl 580 00:31:39,000 --> 00:31:43,360 Speaker 1: really that people are saying, maybe this is a risks. 581 00:31:43,360 --> 00:31:45,640 Speaker 1: On the one hand, it's an opportunity for China depending 582 00:31:45,640 --> 00:31:48,280 Speaker 1: on how bad it is for America. But there's also 583 00:31:48,640 --> 00:31:52,600 Speaker 1: the systemic risk to Chinese, the Chinese Communist Party's power 584 00:31:53,280 --> 00:31:55,920 Speaker 1: that is going to put people on edge over there 585 00:31:55,960 --> 00:31:58,640 Speaker 1: for a while because there must be enough people who 586 00:31:58,720 --> 00:32:00,880 Speaker 1: know about Then there's also why that's a press information 587 00:32:01,800 --> 00:32:04,040 Speaker 1: and why you know the wee chat app that everyone 588 00:32:04,120 --> 00:32:07,400 Speaker 1: uses over there, and there's so much censorship that goes 589 00:32:07,440 --> 00:32:10,200 Speaker 1: on because if people knew the truth about the Chinese government. 590 00:32:10,200 --> 00:32:12,000 Speaker 1: They'd say, why do we have these morons in charge? 591 00:32:12,840 --> 00:32:15,480 Speaker 1: They're vicious and corrupt and they're not even good at 592 00:32:15,760 --> 00:32:19,160 Speaker 1: You'd think that a high tech totalitarian regime would be 593 00:32:19,160 --> 00:32:23,320 Speaker 1: best placed to deal with a pandemic like this and 594 00:32:23,360 --> 00:32:27,120 Speaker 1: to stifle it. But you know, in Singapore you have 595 00:32:27,280 --> 00:32:30,760 Speaker 1: essentially a benevolent authoritarianism and they will stifle this thing 596 00:32:30,800 --> 00:32:36,800 Speaker 1: pretty quickly. In China you have a dictatorial and vicious totalitarianism, 597 00:32:36,800 --> 00:32:40,000 Speaker 1: and they were not able to stop this thing. So 598 00:32:40,360 --> 00:32:43,240 Speaker 1: I'm a big believer though, in us getting more information 599 00:32:43,480 --> 00:32:47,520 Speaker 1: that will calm people I think a bit going forward, 600 00:32:48,200 --> 00:32:52,720 Speaker 1: not calm them entirely, but will help help us understand 601 00:32:52,760 --> 00:32:54,800 Speaker 1: the real scope of this thing and where it's all going. 602 00:32:54,800 --> 00:32:59,320 Speaker 1: I'll get into some of that. You're in the Freedom Hunt. 603 00:32:59,720 --> 00:33:06,360 Speaker 1: This is the Buck Sexton Show podcast. Do we know 604 00:33:06,520 --> 00:33:09,880 Speaker 1: yet if getting Corona and surviving Corona means that you 605 00:33:09,920 --> 00:33:11,720 Speaker 1: are now immune to the disease or is there a 606 00:33:11,800 --> 00:33:15,280 Speaker 1: chunks of reinfection. We don't know that for one certain 607 00:33:15,280 --> 00:33:18,240 Speaker 1: because we haven't done the study to see rechallenges whether 608 00:33:18,280 --> 00:33:21,320 Speaker 1: they've been protected. But I feel really confident that if 609 00:33:21,360 --> 00:33:24,920 Speaker 1: this virus acts like every other virus, that we know 610 00:33:25,600 --> 00:33:29,760 Speaker 1: once you get infected, get better clear the virus, that 611 00:33:29,920 --> 00:33:33,120 Speaker 1: you'll have immunity that will protect you against reinfection. So 612 00:33:33,160 --> 00:33:35,160 Speaker 1: it's never one hundred percent, but I'd be willing to 613 00:33:35,200 --> 00:33:39,680 Speaker 1: bet anything that people who recover are really protected against reinfection, 614 00:33:39,960 --> 00:33:43,640 Speaker 1: Doctor Fauci laying it down there. Obviously essential to know 615 00:33:44,000 --> 00:33:47,720 Speaker 1: that there would be immunity after an infection of this disease, 616 00:33:48,440 --> 00:33:50,480 Speaker 1: and that's because they're working on a test now and 617 00:33:50,520 --> 00:33:53,160 Speaker 1: an a body test that would let you know you 618 00:33:53,240 --> 00:33:55,240 Speaker 1: might have had this and not known. You know, I 619 00:33:55,320 --> 00:33:57,280 Speaker 1: had a really bad cold at the end of December, 620 00:33:57,320 --> 00:33:59,800 Speaker 1: for example. I think that's probably too early for this, 621 00:34:00,040 --> 00:34:02,320 Speaker 1: but maybe I just thought it was a really bad cold, right. 622 00:34:02,360 --> 00:34:03,920 Speaker 1: I'm sure some of you have the same thing when 623 00:34:03,960 --> 00:34:06,120 Speaker 1: they look at the testing, even in South Korea where 624 00:34:06,120 --> 00:34:08,400 Speaker 1: they've done all this testing, and we've done more testing 625 00:34:08,400 --> 00:34:10,320 Speaker 1: in eight days in South Korea did in eight weeks. 626 00:34:10,320 --> 00:34:11,960 Speaker 1: The President has been bringing that up in the last 627 00:34:12,000 --> 00:34:16,680 Speaker 1: couple of days. But ninety four percent of tests where 628 00:34:16,719 --> 00:34:20,800 Speaker 1: people had symptoms in South Korea it was not coronavirus. 629 00:34:20,880 --> 00:34:23,520 Speaker 1: It's a cold, or it's the flu. But there's obviously 630 00:34:23,560 --> 00:34:28,000 Speaker 1: a lot of crossover in the symptoms. So if you 631 00:34:28,040 --> 00:34:30,479 Speaker 1: can find out if you have had this and didn't 632 00:34:30,480 --> 00:34:33,320 Speaker 1: even realize it, then that takes a tremendous amount of 633 00:34:33,320 --> 00:34:35,920 Speaker 1: strain off you. Assuming that you have immunity, which is 634 00:34:35,960 --> 00:34:38,040 Speaker 1: the point he's getting to here, now you can go 635 00:34:38,040 --> 00:34:39,879 Speaker 1: around and you don't have to worry. And it also 636 00:34:39,960 --> 00:34:42,120 Speaker 1: means you could be around if they've proven you've got 637 00:34:42,120 --> 00:34:44,120 Speaker 1: immunity now from this, which they're going to be finding 638 00:34:44,160 --> 00:34:47,480 Speaker 1: out soon. He's basically saying it's ninety nine percent. But 639 00:34:47,640 --> 00:34:51,279 Speaker 1: if you get immunity, then that means that you could 640 00:34:51,320 --> 00:34:53,879 Speaker 1: be going back to work, going around, you know, people 641 00:34:53,880 --> 00:34:55,840 Speaker 1: who are elderly and not worried because you wouldn't be 642 00:34:55,840 --> 00:34:58,600 Speaker 1: at risk of infecting them because you'd be protected from 643 00:34:58,640 --> 00:35:01,480 Speaker 1: being an infected because you've already been infected. Now, this 644 00:35:01,560 --> 00:35:04,120 Speaker 1: is this is the case. This is basic immunology stretching 645 00:35:04,120 --> 00:35:07,120 Speaker 1: back to the earliest days of vaccination and how that 646 00:35:07,120 --> 00:35:09,799 Speaker 1: whole process works. I'm just gonna say this right now. 647 00:35:09,840 --> 00:35:13,840 Speaker 1: Though you know you heard doctor Fauci there if he said, like, 648 00:35:14,040 --> 00:35:15,759 Speaker 1: I'm very very common, and this is a guy who 649 00:35:15,800 --> 00:35:18,520 Speaker 1: doesn't he doesn't blow you know, smoke and sunshine or 650 00:35:18,520 --> 00:35:21,120 Speaker 1: you know, sunshine and rainbows, smoke and sunshine. That wouldn't 651 00:35:21,120 --> 00:35:25,120 Speaker 1: be good sunshine and rainbows at people. But you've heard 652 00:35:25,200 --> 00:35:28,520 Speaker 1: doctor Fauci there. He was very clear about it. And 653 00:35:29,680 --> 00:35:32,120 Speaker 1: I'm just gonna say this, if we end up finding 654 00:35:32,160 --> 00:35:35,200 Speaker 1: out and this is just my belief, this is my analysis, 655 00:35:35,400 --> 00:35:38,200 Speaker 1: But if we find out that somehow this virus is 656 00:35:38,239 --> 00:35:40,719 Speaker 1: like the only virus that doctor Fauci has ever heard 657 00:35:40,760 --> 00:35:43,640 Speaker 1: of really where you don't have respiratory infection like this, 658 00:35:43,680 --> 00:35:46,200 Speaker 1: where you don't have immunity, afterwards, I'm just gonna go 659 00:35:46,200 --> 00:35:47,680 Speaker 1: on record and say, if we find out you don't 660 00:35:47,719 --> 00:35:50,480 Speaker 1: have immunity, this was engineered in a Chinese lab, no 661 00:35:50,600 --> 00:35:52,960 Speaker 1: question in my mind, there's no there's no way, you know, 662 00:35:53,000 --> 00:35:55,080 Speaker 1: there's too many pieces that would have to be good. Now, 663 00:35:55,160 --> 00:35:56,719 Speaker 1: I don't think that's going to end. It be in 664 00:35:56,760 --> 00:35:58,040 Speaker 1: the case, and I think of the really good news 665 00:35:58,120 --> 00:35:59,719 Speaker 1: is we will have immunity. But I just want to 666 00:35:59,760 --> 00:36:01,600 Speaker 1: go on record now, for some reason, this is the 667 00:36:01,640 --> 00:36:04,840 Speaker 1: one of a thousand for viruses where you don't get immunity. 668 00:36:05,000 --> 00:36:07,120 Speaker 1: It's because the Chinese built this thing and the monster 669 00:36:07,320 --> 00:36:10,000 Speaker 1: got out and is attacking all of us. Thanks for 670 00:36:10,080 --> 00:36:13,799 Speaker 1: listening to The bus Essen Show podcasts. Remember to subscribe 671 00:36:13,800 --> 00:36:17,319 Speaker 1: on Apple podcast, the iHeartRadio app, or wherever you get 672 00:36:17,320 --> 00:36:21,080 Speaker 1: your podcasts. We have to get back to work. Our 673 00:36:21,120 --> 00:36:22,919 Speaker 1: people want to work. If they want to go back, 674 00:36:23,640 --> 00:36:27,560 Speaker 1: they have to go back. And we're going to be 675 00:36:27,560 --> 00:36:30,440 Speaker 1: talking about dates. We're going to be talking with a 676 00:36:30,480 --> 00:36:34,200 Speaker 1: lot of great professionals. But this is a country that 677 00:36:34,320 --> 00:36:38,440 Speaker 1: was built on getting it done and our people want 678 00:36:38,440 --> 00:36:40,719 Speaker 1: to go back to work. I'm I'm hearing it loud 679 00:36:40,760 --> 00:36:45,359 Speaker 1: and clear from everybody. So we'll see what happens. We're 680 00:36:45,360 --> 00:36:48,799 Speaker 1: gonna have a lot more information early next week and 681 00:36:48,840 --> 00:36:52,200 Speaker 1: we'll be reporting that back. But I just want to 682 00:36:52,239 --> 00:36:55,120 Speaker 1: leave it with you. We have to go back. This 683 00:36:55,239 --> 00:36:57,799 Speaker 1: is the United States of America. They don't want to 684 00:36:57,800 --> 00:37:01,440 Speaker 1: sit around and wait, and they'll be practicing. And by 685 00:37:01,520 --> 00:37:03,960 Speaker 1: the way, a lot of people misinterpreted when I said 686 00:37:04,000 --> 00:37:07,359 Speaker 1: go back. They're going to be practicing as much as 687 00:37:07,400 --> 00:37:11,719 Speaker 1: you can social distancing and washing your hands and not 688 00:37:11,880 --> 00:37:14,239 Speaker 1: shaking hands and all of the things that we talk 689 00:37:14,320 --> 00:37:16,319 Speaker 1: about so much. But they have to go back to work. 690 00:37:16,320 --> 00:37:19,320 Speaker 1: Our country has to go back. Our country is based 691 00:37:19,360 --> 00:37:24,600 Speaker 1: on that. The President gets it. His critics are piling 692 00:37:24,600 --> 00:37:28,280 Speaker 1: on him for this, getting so angry at him. It's absurd. 693 00:37:28,400 --> 00:37:32,120 Speaker 1: He understands what's at stake here. There will not be 694 00:37:32,960 --> 00:37:35,399 Speaker 1: an economy. Think of it this way because the war 695 00:37:35,440 --> 00:37:39,320 Speaker 1: analogy here can be very helpful. Obviously, war against a 696 00:37:39,400 --> 00:37:43,200 Speaker 1: virus is not war against enemy human beings. But when 697 00:37:43,200 --> 00:37:45,840 Speaker 1: you think of a war, what would happen if you 698 00:37:46,080 --> 00:37:50,520 Speaker 1: destroy your industrial base. We have the best military, the 699 00:37:50,560 --> 00:37:53,960 Speaker 1: best fighting men and women on the planet, right we 700 00:37:54,400 --> 00:37:57,200 Speaker 1: know that we do. We have the best military and 701 00:37:57,440 --> 00:38:01,279 Speaker 1: obviously the most capable and powerful military in the history 702 00:38:01,320 --> 00:38:03,200 Speaker 1: of the planet, which is a pretty extraordinary thing when 703 00:38:03,239 --> 00:38:08,360 Speaker 1: you think about it, right, But if our military was 704 00:38:08,400 --> 00:38:12,000 Speaker 1: told to go out and fight against an enemy without ammunition, 705 00:38:12,480 --> 00:38:18,759 Speaker 1: without uniforms, without communications, medical equipment, etc. They wouldn't be 706 00:38:18,800 --> 00:38:22,080 Speaker 1: able to win. The same is true of the economy 707 00:38:22,120 --> 00:38:24,840 Speaker 1: that we have here and the industrial base that's dependent 708 00:38:24,880 --> 00:38:27,880 Speaker 1: upon economic activity in defeating this virus. That's why they 709 00:38:27,920 --> 00:38:30,080 Speaker 1: both have to happen. And some of us who have 710 00:38:30,120 --> 00:38:32,760 Speaker 1: a better strategic sense have been saying this from the beginning, 711 00:38:32,800 --> 00:38:35,120 Speaker 1: while other people are saying, you want grandma to die, 712 00:38:35,280 --> 00:38:37,359 Speaker 1: which is such a horrible and offensive thing to say. 713 00:38:37,360 --> 00:38:41,440 Speaker 1: But Nonetheless, it is a combination of people being afraid, 714 00:38:41,480 --> 00:38:45,200 Speaker 1: but also a combination of individuals who feel the need 715 00:38:45,320 --> 00:38:47,719 Speaker 1: right now to establish that they're better than other people, 716 00:38:47,719 --> 00:38:50,960 Speaker 1: the virtue signaling. I have people who tell me who 717 00:38:50,960 --> 00:38:53,600 Speaker 1: aren't even in New York, that I don't have any 718 00:38:53,600 --> 00:38:56,000 Speaker 1: skin of the game of blue check journals, that I 719 00:38:56,000 --> 00:38:59,080 Speaker 1: don't understand the pain people are going through. Really, I'm 720 00:38:59,120 --> 00:39:01,840 Speaker 1: the one who's getting notices all the time from my 721 00:39:01,880 --> 00:39:06,759 Speaker 1: favorite restaurants, from friends of mine that they're either out 722 00:39:06,800 --> 00:39:09,560 Speaker 1: of work, that their business is shut down, that they 723 00:39:09,600 --> 00:39:12,719 Speaker 1: can't go outside, that everyone's scared, they're all frightened for 724 00:39:12,760 --> 00:39:15,040 Speaker 1: their parents. You know one thing about New York. If 725 00:39:15,040 --> 00:39:18,400 Speaker 1: you're not here, you may not know. Yeah, there's a 726 00:39:18,400 --> 00:39:21,080 Speaker 1: fair number of New Yorkers who go down to Florida 727 00:39:21,120 --> 00:39:23,120 Speaker 1: as the typical place the New Yorkers go to retire. 728 00:39:23,239 --> 00:39:27,319 Speaker 1: But a lot of people, multigeneration families are here in 729 00:39:27,360 --> 00:39:31,800 Speaker 1: this city. I'm here, my parents are here, My grandparents 730 00:39:32,200 --> 00:39:35,799 Speaker 1: on one side were here, My great grandparents when they 731 00:39:35,840 --> 00:39:39,799 Speaker 1: were alive, were here. I mean so, But for a 732 00:39:39,880 --> 00:39:41,799 Speaker 1: lot of New Yorkers, not only is this hit home 733 00:39:41,840 --> 00:39:44,080 Speaker 1: for them because they're in quarantine but they know they've 734 00:39:44,120 --> 00:39:48,640 Speaker 1: got even if they themselves are in lower risk cohorts 735 00:39:48,719 --> 00:39:51,120 Speaker 1: in terms of their age, they know that there are 736 00:39:51,120 --> 00:39:53,279 Speaker 1: other people that they care very much about who are here, 737 00:39:54,040 --> 00:39:56,080 Speaker 1: care about more than anything, and they want to make 738 00:39:56,080 --> 00:39:58,279 Speaker 1: sure that they're safe. So this is as realistic gets 739 00:39:58,320 --> 00:40:00,960 Speaker 1: for all of us who are in the of this storm. 740 00:40:01,440 --> 00:40:05,239 Speaker 1: The President understands that he's a New Yorker too. He 741 00:40:05,320 --> 00:40:07,840 Speaker 1: has friends and loved ones and people that matter to 742 00:40:07,920 --> 00:40:10,440 Speaker 1: him all across the country in a sense, but here 743 00:40:10,560 --> 00:40:13,080 Speaker 1: in New York City is his home right, So he 744 00:40:13,120 --> 00:40:15,400 Speaker 1: knows this, and I do think that he's trying to 745 00:40:15,400 --> 00:40:18,560 Speaker 1: do as much as he can to get us back 746 00:40:18,600 --> 00:40:23,880 Speaker 1: to work as quickly as he can. And this is 747 00:40:23,920 --> 00:40:26,120 Speaker 1: just one of these times where we're going to have 748 00:40:26,160 --> 00:40:28,000 Speaker 1: to listen to the voices that we know are coming 749 00:40:28,040 --> 00:40:31,200 Speaker 1: at this in good faith and have a strategic mind, 750 00:40:31,360 --> 00:40:33,440 Speaker 1: have vision for the future. Those of us that are 751 00:40:33,440 --> 00:40:37,160 Speaker 1: pushing for more economic activity are looking ahead to what 752 00:40:37,239 --> 00:40:41,040 Speaker 1: happens in two months while also understanding what's going on 753 00:40:41,080 --> 00:40:44,200 Speaker 1: over the next two weeks. I'm not dismissing at all, 754 00:40:44,400 --> 00:40:48,719 Speaker 1: but you don't want to win this battle against the 755 00:40:48,840 --> 00:40:52,080 Speaker 1: virus spike, right now at the expense of losing the 756 00:40:52,080 --> 00:40:55,759 Speaker 1: war of America still being a functioning economy that can 757 00:40:55,800 --> 00:40:59,120 Speaker 1: support all the rest of life, including all the other 758 00:40:59,120 --> 00:41:01,200 Speaker 1: health issues that come together. So I think I've made 759 00:41:01,680 --> 00:41:03,160 Speaker 1: I think I've made my case to you on this. 760 00:41:03,200 --> 00:41:05,480 Speaker 1: For now, We'll have to continue to see where the 761 00:41:05,600 --> 00:41:10,000 Speaker 1: data leads us, what it says about the future of 762 00:41:11,400 --> 00:41:14,120 Speaker 1: where we'll be able to open up in this country. 763 00:41:14,280 --> 00:41:16,040 Speaker 1: I think you're going to see this left to the 764 00:41:16,120 --> 00:41:20,120 Speaker 1: states and to cities, and that's going to be very 765 00:41:20,160 --> 00:41:23,600 Speaker 1: interesting because there is already a dynamic that is forming 766 00:41:23,719 --> 00:41:26,480 Speaker 1: right now of more rural and more red areas of 767 00:41:26,480 --> 00:41:29,400 Speaker 1: the country that are that are less impacted by this 768 00:41:29,560 --> 00:41:32,440 Speaker 1: less affected, not unaffected, but less affected by the spread 769 00:41:32,440 --> 00:41:35,239 Speaker 1: of the virus. And they're saying, let us get back 770 00:41:35,280 --> 00:41:39,760 Speaker 1: to work. We understand social distancing, we understand the precautions 771 00:41:39,840 --> 00:41:41,799 Speaker 1: to prevent this from spiraling out of control in our 772 00:41:41,840 --> 00:41:44,920 Speaker 1: area too. Let us get back to work. Our hospitals 773 00:41:44,920 --> 00:41:48,319 Speaker 1: aren't overwhelmed, so that we can be a productive part 774 00:41:48,440 --> 00:41:52,279 Speaker 1: of the economy and pushing the country forward. While New 775 00:41:52,360 --> 00:41:55,080 Speaker 1: York is stockpiling ventilators and trying to deal with the 776 00:41:55,120 --> 00:41:58,480 Speaker 1: influx of patients it already has, while Los Angeles and 777 00:41:58,600 --> 00:42:02,240 Speaker 1: New Orleans and my me in other places are recognizing 778 00:42:02,320 --> 00:42:05,799 Speaker 1: that they're also about to get hit pretty hard with this. Right, 779 00:42:06,360 --> 00:42:08,960 Speaker 1: So this debate will be very interesting and you'll see 780 00:42:09,480 --> 00:42:12,960 Speaker 1: state and local leadership matter into a lot of us 781 00:42:13,000 --> 00:42:14,839 Speaker 1: a lot more. You know, usually your state and local 782 00:42:14,920 --> 00:42:18,000 Speaker 1: leadership well, I guess depends on where you are, but 783 00:42:18,080 --> 00:42:20,680 Speaker 1: usually it's gonna You're worried about are they taxing you? 784 00:42:20,840 --> 00:42:23,800 Speaker 1: How are this how's this school system? They don't generally 785 00:42:23,840 --> 00:42:26,359 Speaker 1: make decisions that have power of life and death over you. 786 00:42:26,360 --> 00:42:28,600 Speaker 1: You don't think if you're governor. I know governors can 787 00:42:28,719 --> 00:42:32,440 Speaker 1: give someone clemency who's on death row for state charges, 788 00:42:32,480 --> 00:42:34,680 Speaker 1: but you don't usually think of a governor as making 789 00:42:34,800 --> 00:42:37,359 Speaker 1: life and death decisions. If you did, I don't think 790 00:42:37,360 --> 00:42:39,520 Speaker 1: i'd live in New York. I'd probably moved to Texas. 791 00:42:39,719 --> 00:42:42,400 Speaker 1: Which maybe this is another moment where I realize, Buck, 792 00:42:42,640 --> 00:42:45,600 Speaker 1: it's time to move to Texas. You folks in Austin, KLBJ, 793 00:42:45,840 --> 00:42:47,920 Speaker 1: do do you guys have some you guys have some 794 00:42:48,000 --> 00:42:50,720 Speaker 1: room for a good patriot service country in the past 795 00:42:50,760 --> 00:42:53,480 Speaker 1: and wants to come hang out with some folks You 796 00:42:53,520 --> 00:42:55,320 Speaker 1: know there's a whole bunch of plays. You know, Denver. 797 00:42:55,640 --> 00:42:58,560 Speaker 1: What about Denver? I love Denver. Maybe you got room 798 00:42:58,600 --> 00:43:01,040 Speaker 1: for me. I know that's not a particularly conservative city, 799 00:43:01,280 --> 00:43:03,240 Speaker 1: but I hear wonderful things about it. And we've obviously 800 00:43:03,239 --> 00:43:05,880 Speaker 1: got a great, great group of people listening to us 801 00:43:05,880 --> 00:43:09,560 Speaker 1: in the Denver area. Team Buck Denver is going strong. 802 00:43:09,680 --> 00:43:11,799 Speaker 1: So maybe that's where we gotta I don't know, profcer Mark, 803 00:43:11,840 --> 00:43:13,399 Speaker 1: we might have to bust out a map and start 804 00:43:13,480 --> 00:43:16,800 Speaker 1: thinking about what the escape, what the escape hatches for NYC. 805 00:43:17,400 --> 00:43:21,919 Speaker 1: You already know my thoughts. Anywhere without state income tax Florida, Yeah, yeah, 806 00:43:21,960 --> 00:43:25,719 Speaker 1: well Florida, Texas, that works. I think Tennessee also doesn't have. 807 00:43:26,040 --> 00:43:27,840 Speaker 1: I just I was in Nashville for a weekend. I 808 00:43:27,920 --> 00:43:31,839 Speaker 1: love that place. There's premiere studios in Nashville there. Oh, 809 00:43:32,200 --> 00:43:34,239 Speaker 1: we got a lot of studios in Nashville. We're gonna 810 00:43:34,280 --> 00:43:35,600 Speaker 1: have a lot. I think there's gonna be a whole 811 00:43:35,800 --> 00:43:38,200 Speaker 1: a little lot more development of all kinds going on there. 812 00:43:38,719 --> 00:43:41,880 Speaker 1: So you're going to see some differences at the state 813 00:43:41,960 --> 00:43:46,719 Speaker 1: level and how this plays out. Governor Cuomo, who's been 814 00:43:46,760 --> 00:43:49,320 Speaker 1: getting a lot of attention for his daily brief things 815 00:43:49,360 --> 00:43:51,920 Speaker 1: mostly for his demeanor in them and for the lack 816 00:43:52,000 --> 00:43:54,560 Speaker 1: of the petty garbage. I mean, Deblasio has I've been saying, 817 00:43:54,560 --> 00:43:57,520 Speaker 1: he's just, oh my gosh, we're all gonna die. Deblasio 818 00:43:57,560 --> 00:44:01,879 Speaker 1: is horrible. He's absolutely horrible. Cuomo has been like, look, 819 00:44:02,080 --> 00:44:04,720 Speaker 1: we're on it, we're dealing with it. We'll do our best. 820 00:44:04,880 --> 00:44:07,359 Speaker 1: You know, he's kind of a little more, a little more, 821 00:44:07,600 --> 00:44:09,120 Speaker 1: you know, he's been more even keeled about it as 822 00:44:09,120 --> 00:44:11,239 Speaker 1: I've been saying. He's done a good job for what's 823 00:44:11,239 --> 00:44:12,920 Speaker 1: going on here, and he's under a lot of stress. 824 00:44:12,960 --> 00:44:16,640 Speaker 1: It's real, Okay, he's a New Yorker, he understands. Here's 825 00:44:16,640 --> 00:44:18,200 Speaker 1: what he says about the Because I want to talk 826 00:44:18,200 --> 00:44:20,239 Speaker 1: about this bill, I don't want to spend too much 827 00:44:20,320 --> 00:44:23,439 Speaker 1: time on it because we kind of know a lot 828 00:44:23,480 --> 00:44:26,040 Speaker 1: of what's going on here. It's a usual Washington shenanigans. 829 00:44:26,040 --> 00:44:29,279 Speaker 1: Here's what he's saying. Play clip five. I'm sorry. Play 830 00:44:29,280 --> 00:44:34,080 Speaker 1: clip six. The congressional action, in my opinion, simply failed 831 00:44:34,320 --> 00:44:38,560 Speaker 1: to address the governmental need. I've spoke to all the 832 00:44:39,200 --> 00:44:43,200 Speaker 1: officials involved. I spoke to our House delegation, I spoke 833 00:44:43,239 --> 00:44:47,640 Speaker 1: to our senators, and I believe what they did failed 834 00:44:47,760 --> 00:44:50,880 Speaker 1: to meet the governmental need. I'm disappointed, I said, I 835 00:44:50,960 --> 00:44:56,280 Speaker 1: was disappointed. I find it irresponsible. I find that reckless 836 00:44:56,680 --> 00:45:03,080 Speaker 1: emotion is a luxury, and we don't have the luxury 837 00:45:03,800 --> 00:45:07,960 Speaker 1: at this time of being emotional about what they did. 838 00:45:08,719 --> 00:45:11,320 Speaker 1: When this is over, I promise you I'm going to 839 00:45:11,440 --> 00:45:13,840 Speaker 1: give them a piece of my mind. But I would 840 00:45:13,840 --> 00:45:18,080 Speaker 1: say to them today, this is an extraordinary time in 841 00:45:18,120 --> 00:45:21,759 Speaker 1: this nation, and it's an extraordinary time for government. This 842 00:45:21,880 --> 00:45:26,520 Speaker 1: was the time to put politics aside, in partisanship aside. 843 00:45:26,880 --> 00:45:30,680 Speaker 1: This is the time for governmental leaders to stop making 844 00:45:30,800 --> 00:45:39,520 Speaker 1: excuses and just do your job. Okay, here's what's really 845 00:45:39,560 --> 00:45:41,640 Speaker 1: going on. And some of that, you know, just do 846 00:45:41,719 --> 00:45:43,440 Speaker 1: your job. They'll make it say okay, well that's we 847 00:45:43,560 --> 00:45:45,400 Speaker 1: expect that. That's what people will say about this, But 848 00:45:45,600 --> 00:45:50,200 Speaker 1: here's what's really going on. States are supposed I think 849 00:45:50,200 --> 00:45:52,360 Speaker 1: a lot of states have balanced budgets are supposed to 850 00:45:52,360 --> 00:45:56,200 Speaker 1: have balanced budgets under understate law. I don't know how many, 851 00:45:56,200 --> 00:45:57,319 Speaker 1: but I do think there are a number of them 852 00:45:57,320 --> 00:46:02,400 Speaker 1: to do. As we know, the state and federal income 853 00:46:02,400 --> 00:46:05,359 Speaker 1: tax day has been pushed back to I believe it's 854 00:46:05,400 --> 00:46:07,799 Speaker 1: for all states to income tax days and pushed back 855 00:46:07,840 --> 00:46:12,040 Speaker 1: to July fifteenth, which means what happens to states and 856 00:46:12,080 --> 00:46:16,279 Speaker 1: their budgets. States rely, a lot of them rely, yeah, 857 00:46:16,320 --> 00:46:21,280 Speaker 1: on property taxes, but also on tax of sales, tax, 858 00:46:21,320 --> 00:46:25,560 Speaker 1: tax of goods and transactions. And guess what they're looking 859 00:46:25,600 --> 00:46:28,920 Speaker 1: at massive short falls now. And a state like New 860 00:46:28,960 --> 00:46:30,719 Speaker 1: York in particular, is going to have huge short falls. 861 00:46:30,719 --> 00:46:33,120 Speaker 1: I'm assuming there'll be others as well. Here's what I 862 00:46:33,120 --> 00:46:35,520 Speaker 1: don't know people are listening to this. You're you're in Texas, 863 00:46:35,920 --> 00:46:39,759 Speaker 1: you're in North Carolina, you're in Minnesota, you're in Indiana, 864 00:46:39,880 --> 00:46:42,080 Speaker 1: you're in you know, California is going to the same problems, 865 00:46:42,200 --> 00:46:43,920 Speaker 1: but you're in some places that probably aren't going to 866 00:46:43,960 --> 00:46:47,600 Speaker 1: get hit as badly with this problem. But here's what's 867 00:46:47,600 --> 00:46:51,560 Speaker 1: going to happen, right when you have this just this 868 00:46:51,719 --> 00:46:57,200 Speaker 1: perception of the federal government dumping loads of cash out 869 00:46:57,239 --> 00:47:01,000 Speaker 1: of helicopters onto people. And in a sense, that is 870 00:47:01,000 --> 00:47:03,160 Speaker 1: what is going on, and that is necessary. People that 871 00:47:03,239 --> 00:47:05,759 Speaker 1: lost their jobs because the government said you don't have 872 00:47:05,800 --> 00:47:08,600 Speaker 1: a job anymore because of a disease that has nothing 873 00:47:08,680 --> 00:47:10,759 Speaker 1: to do with you. The government's got to take care 874 00:47:10,800 --> 00:47:12,960 Speaker 1: of those people, right. This is this you know, it'd 875 00:47:12,960 --> 00:47:15,040 Speaker 1: be the same way that you know, if we got 876 00:47:15,120 --> 00:47:17,280 Speaker 1: as I said, we got invaded by a foreign power 877 00:47:17,920 --> 00:47:19,640 Speaker 1: and the government had to spend a whole lot of 878 00:47:19,640 --> 00:47:22,040 Speaker 1: money and send a black Hawk and a whole bunch 879 00:47:22,040 --> 00:47:24,359 Speaker 1: of highly trained seals or something to go get you 880 00:47:24,400 --> 00:47:27,799 Speaker 1: because the bad guys had captured you. That's what government does. 881 00:47:28,520 --> 00:47:30,920 Speaker 1: So that's why that's why we pay taxes, right, That's 882 00:47:30,960 --> 00:47:34,160 Speaker 1: why we have these systems in place. So what we're 883 00:47:34,160 --> 00:47:38,160 Speaker 1: going to see, though, is this dumping cash mentality, which 884 00:47:38,239 --> 00:47:41,720 Speaker 1: is clearly evident in the way that this bill has gone. 885 00:47:41,719 --> 00:47:45,240 Speaker 1: And as I go to air, Massey is still thinking about, 886 00:47:45,280 --> 00:47:49,200 Speaker 1: I think, slowing down this process because he's upset about it, 887 00:47:49,239 --> 00:47:52,520 Speaker 1: and people are saying, is it a conservative principle? Stand no, 888 00:47:52,680 --> 00:47:55,200 Speaker 1: I'm sorry, I don't think in my opinion, if you 889 00:47:55,239 --> 00:47:59,759 Speaker 1: want to know, you know, Congress and Massa Kentucky is 890 00:48:00,400 --> 00:48:02,840 Speaker 1: saying that he might insist on a quorum and that 891 00:48:02,840 --> 00:48:05,520 Speaker 1: wo basically would slow the whole process down. To make 892 00:48:05,520 --> 00:48:07,359 Speaker 1: a point here that there's too much pork in this. 893 00:48:08,480 --> 00:48:12,560 Speaker 1: In my opinion, you don't lecture somebody on the Constitution 894 00:48:12,600 --> 00:48:14,759 Speaker 1: while their house is burning down. And that's what's going 895 00:48:14,760 --> 00:48:17,719 Speaker 1: on right now. Now. I'm not saying that you can't 896 00:48:18,120 --> 00:48:20,600 Speaker 1: be critical of what's happened. I'm critical of it. I 897 00:48:20,600 --> 00:48:22,840 Speaker 1: think Massey should be critical, but I don't think that 898 00:48:22,880 --> 00:48:24,959 Speaker 1: it's I think it's kind of productive to slow down 899 00:48:25,600 --> 00:48:30,279 Speaker 1: in any way. People are desperate for cash now. They 900 00:48:30,320 --> 00:48:34,480 Speaker 1: need that money now, and they're going to be making decisions. 901 00:48:34,560 --> 00:48:37,880 Speaker 1: Businesses and individuals who're making decisions based upon what is 902 00:48:37,880 --> 00:48:40,319 Speaker 1: in their bank account next week when rent is due, 903 00:48:41,160 --> 00:48:43,719 Speaker 1: so to say, oh, let's sort of wait and we'll 904 00:48:43,800 --> 00:48:48,040 Speaker 1: see and you know, no, I'm sorry, that is not 905 00:48:48,239 --> 00:48:51,600 Speaker 1: something that I can you know, I can get behind it. 906 00:48:51,680 --> 00:48:55,200 Speaker 1: And also well we'll get into some of some of 907 00:48:55,200 --> 00:49:01,560 Speaker 1: the other criticism that's out there about this, but it's 908 00:49:02,000 --> 00:49:04,719 Speaker 1: it's shocking, and it's not shocking, right, I mean, as 909 00:49:04,719 --> 00:49:06,799 Speaker 1: a human being, you're like, how could anybody use this 910 00:49:06,840 --> 00:49:13,319 Speaker 1: moment for the ex exploitative means that they are, But 911 00:49:13,560 --> 00:49:15,640 Speaker 1: you also know that this is this is the way 912 00:49:15,640 --> 00:49:19,279 Speaker 1: our government functions now. Things only really seem to get 913 00:49:19,320 --> 00:49:21,760 Speaker 1: done in a crisis. Things only seem to get done 914 00:49:22,480 --> 00:49:26,200 Speaker 1: when it shouldn't be about politics. That's when it's really 915 00:49:26,239 --> 00:49:33,880 Speaker 1: about politics. It's a switch Colo conundrum. Here is Manuchin 916 00:49:34,000 --> 00:49:36,640 Speaker 1: telling us that the checks are going to go out. 917 00:49:36,760 --> 00:49:39,520 Speaker 1: Here's what he says, Secretary of the Treasury, play nine. 918 00:49:39,960 --> 00:49:42,560 Speaker 1: And I want to thank the Senate for their swift action. 919 00:49:43,160 --> 00:49:46,680 Speaker 1: People literally worked around the clock for five days, and 920 00:49:46,840 --> 00:49:49,480 Speaker 1: the President and I and others couldn't be more placed 921 00:49:49,480 --> 00:49:53,239 Speaker 1: with the absolute unanimous support on a bipartisan basis to 922 00:49:53,280 --> 00:49:56,440 Speaker 1: get this done. In regards to the checks I announced 923 00:49:56,520 --> 00:50:00,600 Speaker 1: yesterday from the White House press conference, first all, most 924 00:50:00,600 --> 00:50:02,600 Speaker 1: of these will be direct deposits, so we call them 925 00:50:02,680 --> 00:50:05,160 Speaker 1: checks on the mail, but most movie direct deposits. It'll 926 00:50:05,200 --> 00:50:08,320 Speaker 1: be within three weeks. We are determined to get money 927 00:50:08,360 --> 00:50:12,560 Speaker 1: in people's pocket immediately, so that will be within three weeks. 928 00:50:13,560 --> 00:50:16,880 Speaker 1: It seems pretty straightforward. Ryan, What are the objections that 929 00:50:16,960 --> 00:50:20,239 Speaker 1: Democrats had, Remember when Pelosi was slowing the whole thing up. Well, 930 00:50:20,239 --> 00:50:25,160 Speaker 1: we'll need to get to that. You're in the Freedom Hunt. 931 00:50:25,480 --> 00:50:31,960 Speaker 1: This is the Buck Sexton Show podcast. Oh, we did 932 00:50:32,040 --> 00:50:34,760 Speaker 1: jiu jitsu on it that it went from a corporate 933 00:50:34,880 --> 00:50:38,600 Speaker 1: first proposal that the Republicans put forth in the Senate 934 00:50:39,320 --> 00:50:44,319 Speaker 1: to a worker's first, democratic workers first legislation. But let's 935 00:50:44,320 --> 00:50:47,200 Speaker 1: first back up, because I was coming here. I saw 936 00:50:47,280 --> 00:50:51,200 Speaker 1: that nearly a thousand deaths in the United States nine 937 00:50:51,239 --> 00:50:53,680 Speaker 1: hundred yesterday, So I don't know what the numbers today, 938 00:50:54,200 --> 00:50:57,680 Speaker 1: but they're saying nearly a thousand deaths in our country, 939 00:50:58,200 --> 00:51:01,760 Speaker 1: tens of thousands of people. Our Kate, we had tens 940 00:51:01,760 --> 00:51:06,560 Speaker 1: of thousands of cases. This is a pandemic that we 941 00:51:06,640 --> 00:51:09,799 Speaker 1: haven't even seen since for over one hundred years in 942 00:51:09,920 --> 00:51:14,279 Speaker 1: our country. It's really such such a tragedy, so we 943 00:51:14,360 --> 00:51:17,920 Speaker 1: had to take important action. We had to take action 944 00:51:17,960 --> 00:51:21,560 Speaker 1: though that puts families first and workers first, and that's 945 00:51:21,600 --> 00:51:24,000 Speaker 1: what we did when we did our first legislation. The 946 00:51:24,040 --> 00:51:28,840 Speaker 1: first two bills were about addressing the emergency directly. She 947 00:51:29,080 --> 00:51:34,960 Speaker 1: is shameless, isn't she just shameless? Ju jitsu? Nancy Pelosi 948 00:51:35,080 --> 00:51:37,120 Speaker 1: jiu jitsu? No, that would be even more fun to 949 00:51:37,160 --> 00:51:41,759 Speaker 1: watch than a Ruth Bader Ginsberg super fierce workout with kettlebells. 950 00:51:42,480 --> 00:51:45,040 Speaker 1: But but Pelosi is convinced that she got something here. 951 00:51:45,080 --> 00:51:47,160 Speaker 1: I'm not really sure what you think she got other 952 00:51:47,200 --> 00:51:52,440 Speaker 1: than repudiation people saying, what the heck are you thinking? 953 00:51:53,080 --> 00:51:57,839 Speaker 1: This is a crisis. Time is of the essence. We absolutely, positively, 954 00:51:58,000 --> 00:52:04,719 Speaker 1: positively cannot delay this anymore. That's you know, that's what 955 00:52:04,960 --> 00:52:07,480 Speaker 1: where everybody else is on this. But Nancy Pelosi, meanwhile, 956 00:52:07,480 --> 00:52:10,520 Speaker 1: I was playing all these nonsense games. Now, you know 957 00:52:10,600 --> 00:52:12,439 Speaker 1: one one point here that I would I would make 958 00:52:12,760 --> 00:52:15,440 Speaker 1: the jobless numbers are going to keep going up. Manuchin, 959 00:52:15,760 --> 00:52:19,320 Speaker 1: who is smart. I mean, he's like Goldman Sachs, lobbyist 960 00:52:19,400 --> 00:52:23,200 Speaker 1: in chief at the Treasury Department. But he's smart, and 961 00:52:23,520 --> 00:52:27,839 Speaker 1: he's saying that we can handle this jobless thing in 962 00:52:27,880 --> 00:52:30,719 Speaker 1: the short term, which has been what I have been 963 00:52:30,760 --> 00:52:34,080 Speaker 1: saying for the last week, despite all the leftists claiming 964 00:52:34,080 --> 00:52:35,920 Speaker 1: that I want to throw old people off of cliffs. 965 00:52:36,560 --> 00:52:39,960 Speaker 1: We cannot sustain this in the long term. Here is 966 00:52:40,040 --> 00:52:42,640 Speaker 1: Manuchin on that one play ten. We knew the jobless 967 00:52:42,640 --> 00:52:44,160 Speaker 1: claims number was not going to be a good one, 968 00:52:44,200 --> 00:52:45,960 Speaker 1: but I am curious this. So what your thoughts were 969 00:52:46,000 --> 00:52:48,840 Speaker 1: when you saw that three point two eight three million number. 970 00:52:49,120 --> 00:52:51,080 Speaker 1: You know, to be honest with you, I just think 971 00:52:51,120 --> 00:52:53,920 Speaker 1: these numbers right now are not relevant, and you know 972 00:52:53,960 --> 00:52:57,719 Speaker 1: whether they're bigger or smaller. And the short term, you know, 973 00:52:57,920 --> 00:53:02,000 Speaker 1: I mean, obviously there are people who have jobless claims. 974 00:53:02,120 --> 00:53:04,319 Speaker 1: And again, the good thing about this bill is the 975 00:53:04,360 --> 00:53:07,640 Speaker 1: President is protecting those people. So you know, now with 976 00:53:07,760 --> 00:53:11,160 Speaker 1: these plans small businesses, hopefully we'll be able to hire 977 00:53:11,239 --> 00:53:14,120 Speaker 1: back a lot of those people. Last week, they didn't 978 00:53:14,120 --> 00:53:16,480 Speaker 1: know if they had protections. They didn't have any cash, 979 00:53:16,520 --> 00:53:20,000 Speaker 1: they had no choice. Now with this bill passed by Congress, 980 00:53:20,960 --> 00:53:24,200 Speaker 1: there are protections, and as I said, hopefully those workers 981 00:53:24,239 --> 00:53:29,600 Speaker 1: will be rehired. But between these three programs, it protects 982 00:53:29,680 --> 00:53:32,200 Speaker 1: all of American workers. And by the way, you know, 983 00:53:32,360 --> 00:53:36,320 Speaker 1: lots of big companies do continue to hire for obviously 984 00:53:36,840 --> 00:53:42,520 Speaker 1: grocery stores, pharmacies, you know, delivery services. These companies are 985 00:53:42,520 --> 00:53:45,919 Speaker 1: on overtime, so I know they're hiring people as fast 986 00:53:45,960 --> 00:53:48,080 Speaker 1: as they can. Let's hope that he's right. I mean, 987 00:53:48,120 --> 00:53:49,840 Speaker 1: I've been saying that the unemployment numbers are only going 988 00:53:49,920 --> 00:53:51,879 Speaker 1: to go up, and I think I'm right. But he's 989 00:53:51,880 --> 00:53:54,520 Speaker 1: saying that because of this this I don't think it's 990 00:53:54,520 --> 00:53:56,160 Speaker 1: stimulus bill. We should call it a rescue It's a 991 00:53:56,200 --> 00:53:58,560 Speaker 1: rescue bill. It's not a stimulus bill. Because of this 992 00:53:58,640 --> 00:54:03,040 Speaker 1: rescue bill, there may be some decisions made by businesses 993 00:54:03,040 --> 00:54:07,520 Speaker 1: to keep people on payroll. Maybe we'll have to see, 994 00:54:07,760 --> 00:54:09,480 Speaker 1: but remember there's going to be a lot of other 995 00:54:09,480 --> 00:54:11,200 Speaker 1: pe There're gonna be a lot of other businesses that 996 00:54:11,880 --> 00:54:16,440 Speaker 1: are are concerned and are going to continue to shed jobs, 997 00:54:16,600 --> 00:54:19,600 Speaker 1: right that this is only going to get worse. And 998 00:54:20,440 --> 00:54:22,000 Speaker 1: then you get into it, well, how does this whole 999 00:54:22,000 --> 00:54:24,080 Speaker 1: thing get really scary? Even if they're doing the right 1000 00:54:24,120 --> 00:54:28,640 Speaker 1: thing by trying to help in this way systemic financial 1001 00:54:28,640 --> 00:54:31,160 Speaker 1: problems which no one wants to talk about. Thanks for 1002 00:54:31,200 --> 00:54:34,920 Speaker 1: listening to the Bus and Show podcasts. Remember to subscribe 1003 00:54:34,920 --> 00:54:38,439 Speaker 1: on Apple podcasts, the iHeartRadio app, or wherever you get 1004 00:54:38,480 --> 00:54:42,880 Speaker 1: your podcasts. What did the Senate majority fight for one 1005 00:54:42,920 --> 00:54:45,960 Speaker 1: of the largest corporate bailouts with as few strings as 1006 00:54:46,000 --> 00:54:52,239 Speaker 1: possible in American history? Shameful? The greed of that fight 1007 00:54:52,520 --> 00:54:56,200 Speaker 1: is wrong for crumbs for our families, and the option 1008 00:54:56,280 --> 00:54:59,640 Speaker 1: that we have is to either let them suffer with 1009 00:54:59,760 --> 00:55:03,279 Speaker 1: no thing, or to allow this greed and billions of 1010 00:55:03,320 --> 00:55:06,120 Speaker 1: dollars which will be leveraged into trillions of dollars to 1011 00:55:06,200 --> 00:55:10,240 Speaker 1: contribute to the largest income inequality gap in our future. 1012 00:55:10,560 --> 00:55:13,279 Speaker 1: There should be shame about what was fought for in 1013 00:55:13,320 --> 00:55:16,640 Speaker 1: this bill and the choices that we have to make. 1014 00:55:17,160 --> 00:55:19,840 Speaker 1: I mean, AOC is a moron. All you have to 1015 00:55:19,840 --> 00:55:21,560 Speaker 1: do is listen to that one clip, never mind all 1016 00:55:21,560 --> 00:55:26,759 Speaker 1: the others, and she's just it's really to the detriment 1017 00:55:26,880 --> 00:55:30,359 Speaker 1: of the Democrat voters of Queens that she represents them, 1018 00:55:30,440 --> 00:55:32,840 Speaker 1: and they I guess they kind of, you know, in 1019 00:55:33,160 --> 00:55:39,120 Speaker 1: that regard. They traded Crowley for AOC, and I don't 1020 00:55:39,120 --> 00:55:40,640 Speaker 1: know how they can view this as a as a 1021 00:55:40,640 --> 00:55:42,719 Speaker 1: trade up, but maybe maybe they do. I don't know. 1022 00:55:42,840 --> 00:55:45,799 Speaker 1: But here's the problem with AOC throwing what it really 1023 00:55:45,800 --> 00:55:48,719 Speaker 1: sounds like a tantrum about corporate interests and how this 1024 00:55:48,800 --> 00:55:52,000 Speaker 1: is all for the corporations. And then this is just 1025 00:55:52,040 --> 00:55:54,800 Speaker 1: the usual talking points for her. She always says the 1026 00:55:54,840 --> 00:55:58,000 Speaker 1: same things about the big bad corporations. Here was the 1027 00:55:58,080 --> 00:56:01,520 Speaker 1: vote in the Senate on this one play clip eleven. Please, 1028 00:56:01,719 --> 00:56:05,080 Speaker 1: we passed this legislation last night, ninety six to nothing. 1029 00:56:05,160 --> 00:56:07,880 Speaker 1: The Senate can barely even rename a post office ninety 1030 00:56:07,880 --> 00:56:10,600 Speaker 1: six to nothing, much less pass a two trillion dollar 1031 00:56:11,120 --> 00:56:15,320 Speaker 1: emergency package, So I think it's regrettable. Then Nancy Pelosi 1032 00:56:15,920 --> 00:56:19,520 Speaker 1: intervened in our bipartisan negotiations last weekend, and now we've 1033 00:56:19,520 --> 00:56:21,600 Speaker 1: lost almost a week's worth of time of getting this 1034 00:56:21,719 --> 00:56:25,840 Speaker 1: desperately needed aid into the hands of America's families and businesses. 1035 00:56:26,120 --> 00:56:28,480 Speaker 1: But I'm confident to the House of Representatives will pass 1036 00:56:28,480 --> 00:56:30,600 Speaker 1: it to mar the President will sign it, and then 1037 00:56:30,640 --> 00:56:33,359 Speaker 1: our government will be moving as quickly as possible to 1038 00:56:33,400 --> 00:56:36,160 Speaker 1: get this aid into the hands of families and businesses. 1039 00:56:36,680 --> 00:56:39,840 Speaker 1: Ninety six to zero. How can we be hearing about 1040 00:56:39,880 --> 00:56:43,319 Speaker 1: the big, bad, mean Republicans when every single Democrat in 1041 00:56:43,320 --> 00:56:45,640 Speaker 1: the Senate voters for this ninety six to zero. Folks, 1042 00:56:45,840 --> 00:56:48,759 Speaker 1: an AOC thinks that this is some terrible Look, there's 1043 00:56:48,760 --> 00:56:51,280 Speaker 1: definitely there's pork in there, there's some things that shouldn't 1044 00:56:51,280 --> 00:56:53,600 Speaker 1: be in there. But you act like this is on 1045 00:56:53,680 --> 00:56:56,880 Speaker 1: the Republicans. This is just the nature of our politics 1046 00:56:56,960 --> 00:56:59,680 Speaker 1: right now, and it's gross. But this is reality. But 1047 00:56:59,800 --> 00:57:02,400 Speaker 1: it's also not really a part as an issue. This 1048 00:57:02,480 --> 00:57:05,360 Speaker 1: is just a Washington issue. They see an opportunity to 1049 00:57:05,360 --> 00:57:07,640 Speaker 1: write a twenty five million dollars check for the Kennedy Center, 1050 00:57:08,360 --> 00:57:12,080 Speaker 1: and they took it. They saw an opportunity to dramatically 1051 00:57:12,080 --> 00:57:14,400 Speaker 1: expand a lot of aspects of government. They aren't really 1052 00:57:14,440 --> 00:57:17,600 Speaker 1: about this. You know, there's a huge expansion of food stamps, 1053 00:57:17,600 --> 00:57:20,840 Speaker 1: different welfare programs. You know, Democrats got a lot in 1054 00:57:20,840 --> 00:57:22,880 Speaker 1: this that they'll say is all about coronavirus. But these 1055 00:57:22,920 --> 00:57:26,880 Speaker 1: are things that they just want to do anyway. This 1056 00:57:27,000 --> 00:57:29,480 Speaker 1: is just another moment where there's some people that they 1057 00:57:29,480 --> 00:57:31,360 Speaker 1: really only have one speed. I mean aoc. It's the 1058 00:57:31,400 --> 00:57:35,400 Speaker 1: same class, warfare, inequality, nonsense all the time. It doesn't 1059 00:57:35,440 --> 00:57:38,560 Speaker 1: matter what the topic is or what's happening, She's going 1060 00:57:38,600 --> 00:57:41,840 Speaker 1: to say more or less the same stuff. And you know, 1061 00:57:41,840 --> 00:57:45,000 Speaker 1: Pelosi is really not any better. I mean, she's really 1062 00:57:45,120 --> 00:57:51,200 Speaker 1: just blathering on about nonsense. And Congressman McCarthy pointed out 1063 00:57:51,240 --> 00:57:53,400 Speaker 1: that her whole thing. You know, she's just trying to 1064 00:57:53,400 --> 00:57:55,040 Speaker 1: save face now and it's obvious, and I'm not going 1065 00:57:55,120 --> 00:57:57,160 Speaker 1: to let her do it without taking some heat because 1066 00:57:57,200 --> 00:57:59,720 Speaker 1: she deserves a lot more than just heat. She deserves 1067 00:57:59,760 --> 00:58:01,480 Speaker 1: to be voted out of office. But it's not going 1068 00:58:01,520 --> 00:58:05,240 Speaker 1: to happen. She represents the lunatic liberals of Marine County, 1069 00:58:05,320 --> 00:58:09,400 Speaker 1: San Francisco incredibly wealthy. It's like, you know, the equip 1070 00:58:09,640 --> 00:58:12,640 Speaker 1: It's the San Francisco equivalent of Malibu, like ultra rich 1071 00:58:12,760 --> 00:58:16,439 Speaker 1: right by the ocean. That's Nancy Pelosi's district. Yeah, she's 1072 00:58:16,440 --> 00:58:18,800 Speaker 1: not getting voted out any time soon. It's also I 1073 00:58:18,840 --> 00:58:20,720 Speaker 1: think where they have one of those clusters where people 1074 00:58:20,720 --> 00:58:23,880 Speaker 1: don't vaccinate particularly like that's one of those plays. I'm 1075 00:58:23,920 --> 00:58:27,480 Speaker 1: just that it is a side note. But here's REPRESENTI 1076 00:58:27,560 --> 00:58:31,080 Speaker 1: McCarthy play clip twenty two. Speaker herself just said, every day, 1077 00:58:31,240 --> 00:58:34,560 Speaker 1: every week that is wasted on not taking this seriously 1078 00:58:34,840 --> 00:58:38,400 Speaker 1: is a problem. I could not agree more. And yet 1079 00:58:38,480 --> 00:58:42,880 Speaker 1: for days Democrats stalled this bill. How many people were 1080 00:58:42,960 --> 00:58:46,240 Speaker 1: laid off as the Democrats fought to change the election 1081 00:58:46,320 --> 00:58:49,800 Speaker 1: law or implement the Green New Deal. How many parents 1082 00:58:50,120 --> 00:58:52,400 Speaker 1: while sleep wondering how they're going to make the payments 1083 00:58:52,800 --> 00:58:56,240 Speaker 1: in the next month. How many small businesses set around 1084 00:58:56,240 --> 00:58:59,040 Speaker 1: a kitchen table and had to make that decision. They 1085 00:58:59,120 --> 00:59:02,640 Speaker 1: never had to be about laying their employees off. They 1086 00:59:02,720 --> 00:59:06,840 Speaker 1: are like family. A few minutes ago, the Speaker stood 1087 00:59:06,840 --> 00:59:10,160 Speaker 1: at dyspodium and claimed that House Democrats did what she 1088 00:59:10,240 --> 00:59:14,320 Speaker 1: called a jiu jitsu to change the bill. That is 1089 00:59:14,320 --> 00:59:18,120 Speaker 1: an outright lie. The fundamental portions of this bill has 1090 00:59:18,160 --> 00:59:21,600 Speaker 1: not changed in Sunday, four months for unemployment was already 1091 00:59:21,600 --> 00:59:24,960 Speaker 1: decided on Sunday. The grant to keep employees hired on 1092 00:59:25,000 --> 00:59:30,480 Speaker 1: small business was already decided on Sunday. Yeah, already decided 1093 00:59:31,000 --> 00:59:35,120 Speaker 1: Pelosi swooped in and tried to use tried to leverage 1094 00:59:35,120 --> 00:59:38,680 Speaker 1: the moment for her own benefit and for her narrow 1095 00:59:38,840 --> 00:59:42,880 Speaker 1: parochial political interests, and it failed. And now she's saying 1096 00:59:42,880 --> 00:59:44,840 Speaker 1: that she did something just to walk away from this. 1097 00:59:44,880 --> 00:59:46,640 Speaker 1: Everyone's looking at her like, no, you didn't. We know 1098 00:59:46,720 --> 00:59:52,200 Speaker 1: that she didn't. But she's such a liar, liar, liar, 1099 00:59:52,360 --> 00:59:55,840 Speaker 1: pants on fire Pelosi. That is where she is on this. 1100 00:59:56,600 --> 00:59:59,960 Speaker 1: So it is unsurprising, but nonetheless that's the reality of it. 1101 01:00:00,600 --> 01:00:04,080 Speaker 1: You know, I was talking before about the state versus 1102 01:00:04,120 --> 01:00:06,960 Speaker 1: local issue, and there is going to be I think 1103 01:00:07,000 --> 01:00:10,200 Speaker 1: some accountability for different for people who aren't used to 1104 01:00:10,280 --> 01:00:16,520 Speaker 1: making really big decisions in political office, for mayors, for governors. 1105 01:00:17,480 --> 01:00:21,280 Speaker 1: They they're being forced to make decisions here where people's 1106 01:00:21,320 --> 01:00:22,960 Speaker 1: lives are in the balance, the economy is in the 1107 01:00:22,960 --> 01:00:27,480 Speaker 1: balance of their state. And here's the mayor of New 1108 01:00:27,600 --> 01:00:32,600 Speaker 1: Orleans speaking about how it's Trump's fault that Marty Gras 1109 01:00:32,680 --> 01:00:37,160 Speaker 1: was not canceled due to coronavirus play thirteen. But you're saying, 1110 01:00:37,360 --> 01:00:40,080 Speaker 1: no one from the federal government came to you and 1111 01:00:40,360 --> 01:00:44,840 Speaker 1: urge you to at least cancel or postpone Marty Gras. 1112 01:00:45,000 --> 01:00:48,840 Speaker 1: That's absolutely correct, and not only that it was backed 1113 01:00:48,920 --> 01:00:53,439 Speaker 1: up with the response of our national leader. When it's 1114 01:00:53,520 --> 01:00:57,120 Speaker 1: not taken seriously at the federal level, it's very difficult 1115 01:00:58,040 --> 01:01:02,280 Speaker 1: to transcend down to the local level in making these decisions. Yes, 1116 01:01:02,440 --> 01:01:04,600 Speaker 1: that's right. Everyone who was supposed to be making these 1117 01:01:04,600 --> 01:01:09,560 Speaker 1: decisions to protect the people of their city or their state. 1118 01:01:10,360 --> 01:01:13,000 Speaker 1: The people that got this wrong. And New Orleans is 1119 01:01:13,040 --> 01:01:15,720 Speaker 1: clearly getting hit very badly, in part because of all 1120 01:01:15,720 --> 01:01:19,040 Speaker 1: the travel to New Orleans for Mardi Gras. But they 1121 01:01:19,080 --> 01:01:21,439 Speaker 1: got this wrong, and now they're gonnaur around, They're gonna 1122 01:01:21,480 --> 01:01:23,120 Speaker 1: blame the federal government and say that it wasn't being 1123 01:01:23,120 --> 01:01:27,240 Speaker 1: taken seriously by the federal government. Look, we also have 1124 01:01:27,480 --> 01:01:30,320 Speaker 1: fortunately the Internet now and so we know what different 1125 01:01:30,440 --> 01:01:32,080 Speaker 1: state And now I don't have this for you for 1126 01:01:32,200 --> 01:01:35,240 Speaker 1: Mardi Gras. I mean for New Orleans, which you know 1127 01:01:35,240 --> 01:01:37,800 Speaker 1: and I love New Orleans, but that's another place, Producer 1128 01:01:37,840 --> 01:01:40,680 Speaker 1: Mark a part of the NYC escape plan. I don't 1129 01:01:40,720 --> 01:01:42,560 Speaker 1: know what the state taxes Louisiana. I'm sure it's not 1130 01:01:42,560 --> 01:01:45,120 Speaker 1: that high. I love I love New Orleans. I want 1131 01:01:45,120 --> 01:01:47,200 Speaker 1: to get back there as soon as I can. But 1132 01:01:48,320 --> 01:01:50,880 Speaker 1: the New York City health commissioner. I don't have the 1133 01:01:50,880 --> 01:01:53,600 Speaker 1: New Orleans health commissioner for the first week of February. 1134 01:01:54,000 --> 01:01:57,120 Speaker 1: Is this is a person at the city level, right, 1135 01:01:57,160 --> 01:01:59,600 Speaker 1: who's obviously a Democrat. I mean, every everybody in all 1136 01:01:59,600 --> 01:02:02,640 Speaker 1: these may your cities is pretty much a Democrat. I mean, 1137 01:02:02,720 --> 01:02:07,360 Speaker 1: the Democrat government is city government. Now there's almost no differentiation. 1138 01:02:08,080 --> 01:02:11,200 Speaker 1: And I mean that's not true everywhere, but in most 1139 01:02:11,200 --> 01:02:13,600 Speaker 1: places you're going to find the mayors of big cities 1140 01:02:13,600 --> 01:02:16,120 Speaker 1: I'm talking about now, it doesn't you know, four Wayne, Indiana. 1141 01:02:16,120 --> 01:02:17,880 Speaker 1: I love you guys in wo wo Land, but you 1142 01:02:17,920 --> 01:02:19,920 Speaker 1: know you're you're kind of an outlier here. I think 1143 01:02:20,040 --> 01:02:22,200 Speaker 1: maybe you know you're talking about fifty to one hundred 1144 01:02:22,200 --> 01:02:24,360 Speaker 1: thousand people in a city. Sure, then maybe you have 1145 01:02:24,400 --> 01:02:27,840 Speaker 1: a Republican. But anything that's half a million plus two 1146 01:02:27,920 --> 01:02:31,680 Speaker 1: hundred fifty thousand plus, you're probably looking at an overwhelming 1147 01:02:31,720 --> 01:02:35,880 Speaker 1: majority of Democrats who are calling the shots for these cities. 1148 01:02:36,720 --> 01:02:39,760 Speaker 1: And I mean certainly the case in New York, Los Angeles, 1149 01:02:39,800 --> 01:02:44,360 Speaker 1: San Francisco, Miami, Chicago, New Orleans, Baltimore, Washington, d C. 1150 01:02:44,520 --> 01:02:46,680 Speaker 1: I mean Seattle, I mean, find me a city or 1151 01:02:46,800 --> 01:02:49,600 Speaker 1: San Diego. I mean Anyway, here's the New York City 1152 01:02:49,640 --> 01:02:53,120 Speaker 1: Health Commissioner without the first week of February on Now, 1153 01:02:53,120 --> 01:02:55,120 Speaker 1: this is a person. Remember, this is not just a politician. 1154 01:02:55,120 --> 01:02:59,160 Speaker 1: This is someone whose job is only to keep people 1155 01:02:59,720 --> 01:03:04,200 Speaker 1: healthy and safe in New York City, safe from disease, 1156 01:03:04,840 --> 01:03:09,640 Speaker 1: safe from things like this pandemic. Here was the public 1157 01:03:09,720 --> 01:03:13,040 Speaker 1: advice of the New York City Health Commissioner on February seventh. 1158 01:03:13,560 --> 01:03:16,560 Speaker 1: Play it. The important thing for New Yorkers to know 1159 01:03:16,840 --> 01:03:20,640 Speaker 1: is that in the city currently their risk is low 1160 01:03:21,000 --> 01:03:25,280 Speaker 1: and our city preparedness is high. And so we know 1161 01:03:25,600 --> 01:03:29,560 Speaker 1: that this virus can be transmitted from one individual to another, 1162 01:03:29,880 --> 01:03:32,880 Speaker 1: but that it's typically people who live together. That there's 1163 01:03:33,040 --> 01:03:36,000 Speaker 1: no risk at this point in time. We're always learning 1164 01:03:36,040 --> 01:03:40,920 Speaker 1: more about having it be transmitted in casual contact. Right, 1165 01:03:40,960 --> 01:03:44,400 Speaker 1: So we're telling New Yorkers go about your lives, take 1166 01:03:44,440 --> 01:03:48,919 Speaker 1: the subway, go out, enjoy life. But the practice every 1167 01:03:49,000 --> 01:03:54,160 Speaker 1: day precaution. That's right. The Health Commissioner of New York 1168 01:03:54,200 --> 01:03:59,000 Speaker 1: a month ago said the following, take the subway, go out, 1169 01:03:59,520 --> 01:04:04,880 Speaker 1: enjoy life. No real risk of casual transmission of this. 1170 01:04:05,920 --> 01:04:08,320 Speaker 1: So when people this is part of my thing this week, 1171 01:04:08,400 --> 01:04:09,720 Speaker 1: you know you have a lot of folks out there 1172 01:04:09,720 --> 01:04:12,200 Speaker 1: that are yelling, listen to the experts, listen the experts. Really, 1173 01:04:12,840 --> 01:04:15,200 Speaker 1: there are people who got sick and died in the 1174 01:04:15,280 --> 01:04:17,800 Speaker 1: last month because they listen to experts like this person. 1175 01:04:17,960 --> 01:04:22,360 Speaker 1: That's just reality. So it's not as easy as just 1176 01:04:22,480 --> 01:04:25,440 Speaker 1: repeating that mantra and all of a sudden, all all 1177 01:04:25,480 --> 01:04:28,920 Speaker 1: other points of view, all other ways of looking at 1178 01:04:28,920 --> 01:04:32,480 Speaker 1: this just fade away into nothing. It's not that straightforward, folks, 1179 01:04:32,480 --> 01:04:36,120 Speaker 1: as we all know. So we'll see what ends up 1180 01:04:36,160 --> 01:04:39,280 Speaker 1: happening with the county by county, state by state approach, 1181 01:04:39,560 --> 01:04:41,800 Speaker 1: and the President is probably gonna announce something pretty substantial 1182 01:04:41,840 --> 01:04:44,840 Speaker 1: on that on Monday. But now we're going to really 1183 01:04:44,840 --> 01:04:47,000 Speaker 1: see it. And I think this is going to be 1184 01:04:47,080 --> 01:04:49,840 Speaker 1: more of a test of federalism than we've had in 1185 01:04:49,840 --> 01:04:53,080 Speaker 1: this country in a long time. Because states that handle 1186 01:04:53,120 --> 01:04:56,240 Speaker 1: this well, people are gonna say, hmm, maybe it's time 1187 01:04:56,280 --> 01:04:58,640 Speaker 1: to go check that place out. States that are crushed 1188 01:04:58,680 --> 01:05:01,640 Speaker 1: by this, there's going to be a lot of anger 1189 01:05:01,640 --> 01:05:04,200 Speaker 1: and a lot of blame at state and local government. 1190 01:05:04,240 --> 01:05:06,360 Speaker 1: And there are gonna be a lot of Democrats who 1191 01:05:06,360 --> 01:05:08,200 Speaker 1: in charge of these areas, you know, whether whether it's 1192 01:05:08,240 --> 01:05:10,200 Speaker 1: fair or not, that they get blamed. They are going 1193 01:05:10,240 --> 01:05:12,440 Speaker 1: to get blamed. I mean, you know, de Blasio, I 1194 01:05:12,520 --> 01:05:15,480 Speaker 1: think in part is running around screaming about how everything's 1195 01:05:15,520 --> 01:05:17,959 Speaker 1: on fire and we're all gonna die, just so that 1196 01:05:18,480 --> 01:05:20,880 Speaker 1: you know, when finally people say, wow, you handle this 1197 01:05:21,000 --> 01:05:23,240 Speaker 1: really badly, he's just gonna say I was warning everybody, 1198 01:05:23,240 --> 01:05:24,480 Speaker 1: and I was the one saying it was going to 1199 01:05:24,560 --> 01:05:28,600 Speaker 1: be terrible. So but I also think that we're gonna 1200 01:05:29,080 --> 01:05:30,640 Speaker 1: We're gonna hit a peak in a couple of weeks, 1201 01:05:30,680 --> 01:05:34,320 Speaker 1: but it's gonna be less catastrophic than the predictions were 1202 01:05:34,440 --> 01:05:37,760 Speaker 1: last week. That's my I wouldn't say a prediction. That's 1203 01:05:37,760 --> 01:05:41,680 Speaker 1: my hope, and I'm pretty I'm confident in my hope. 1204 01:05:41,680 --> 01:05:46,760 Speaker 1: At this point, you're in the Freedom Hunt. This is 1205 01:05:46,800 --> 01:05:53,520 Speaker 1: the Buck Sexton Show podcast High Fekes. I want to 1206 01:05:53,560 --> 01:05:55,520 Speaker 1: bring you up to speed with something that's happening today, 1207 01:05:55,560 --> 01:05:59,760 Speaker 1: which is that I've developed mild symptoms of the creative 1208 01:06:00,040 --> 01:06:04,760 Speaker 1: assessed to say, a temperature and a persistent cough, and 1209 01:06:04,960 --> 01:06:08,360 Speaker 1: on the advice of the chief medical officer, I've taken 1210 01:06:08,480 --> 01:06:12,880 Speaker 1: a test that has come out positive. So I am 1211 01:06:12,920 --> 01:06:17,440 Speaker 1: working from home. I'm so violating and that's entirely the 1212 01:06:17,520 --> 01:06:21,480 Speaker 1: right thing to do, but being no doubt that I 1213 01:06:21,480 --> 01:06:24,760 Speaker 1: can continue, thanks to the wizardy of modern technology, to 1214 01:06:24,840 --> 01:06:28,080 Speaker 1: communicate with all my top team to lead the national 1215 01:06:28,320 --> 01:06:33,880 Speaker 1: fight back against coronavirus. The Prime Minister of Great Britain 1216 01:06:34,200 --> 01:06:40,200 Speaker 1: and Prime Minister of the UK, he has coronavirus. That's 1217 01:06:40,760 --> 01:06:43,240 Speaker 1: going to be one of those ones where you say, wow, 1218 01:06:43,240 --> 01:06:45,760 Speaker 1: this really is all over the place, isn't it. I 1219 01:06:45,760 --> 01:06:50,880 Speaker 1: think the wife of Justin Trudeau has coronavirus now as well. 1220 01:06:50,920 --> 01:06:53,240 Speaker 1: I mean Tom, that was like a week or two ago. Yeah, yeah, 1221 01:06:53,280 --> 01:06:54,880 Speaker 1: that was a week or two ago. Tom Hanks says 1222 01:06:54,920 --> 01:06:56,880 Speaker 1: a coronavirus. He seems to be doing fine. I saw 1223 01:06:56,920 --> 01:07:00,360 Speaker 1: some update from him. Who what other famous smart What 1224 01:07:00,440 --> 01:07:03,440 Speaker 1: are the famous people right now have coronavirus? There were 1225 01:07:03,440 --> 01:07:06,600 Speaker 1: a couple of NBA players, some some like some like 1226 01:07:06,720 --> 01:07:11,200 Speaker 1: Sea level, you know, celebrities almost almost announced it like 1227 01:07:12,360 --> 01:07:14,680 Speaker 1: a little too, you know, a little they're like almost 1228 01:07:14,680 --> 01:07:16,360 Speaker 1: exciting to do. It's a little weird with some of 1229 01:07:16,400 --> 01:07:18,880 Speaker 1: the younger I've seen some people that are like you know, 1230 01:07:18,960 --> 01:07:21,760 Speaker 1: influencers that are like, oh, I have coronavirus, Like uh, 1231 01:07:23,160 --> 01:07:25,000 Speaker 1: that's know. We wish you all the best. But this 1232 01:07:25,080 --> 01:07:26,920 Speaker 1: is not a it's not a competition to see who 1233 01:07:26,960 --> 01:07:29,120 Speaker 1: can get this thing the fastest. There have been some weird, 1234 01:07:29,880 --> 01:07:32,400 Speaker 1: some weird posts that I've seen on this one, and 1235 01:07:32,600 --> 01:07:34,800 Speaker 1: never mind the ones of people like licking toilet seats. 1236 01:07:34,800 --> 01:07:36,840 Speaker 1: And did you see that, by the way, you know 1237 01:07:36,880 --> 01:07:41,160 Speaker 1: that guy got sick. Yeah, he has coronavirus. Coronavirus? What 1238 01:07:41,320 --> 01:07:45,560 Speaker 1: I mean? What a you know? People? Why lick a 1239 01:07:45,640 --> 01:07:49,400 Speaker 1: toilet in general? Never mind in these times? Yeah, I dude, 1240 01:07:49,440 --> 01:07:50,960 Speaker 1: I I don't even know. Man. I was one of 1241 01:07:51,000 --> 01:07:52,440 Speaker 1: those people that for years and years, if I had 1242 01:07:52,440 --> 01:07:53,760 Speaker 1: to use a toilet that wasn't in my home, I 1243 01:07:53,840 --> 01:07:57,200 Speaker 1: use one of those like I would build a little um, 1244 01:07:57,360 --> 01:08:00,440 Speaker 1: you know, a little paper towel s, a little a 1245 01:08:00,560 --> 01:08:03,520 Speaker 1: little paper seat for myself. You know. Oh, I won't 1246 01:08:03,920 --> 01:08:07,800 Speaker 1: go outside of the house. Yeah, you're one of those 1247 01:08:08,680 --> 01:08:11,000 Speaker 1: like that guy from American Pie who won't go outside 1248 01:08:11,000 --> 01:08:13,440 Speaker 1: the home. I'm the type of person who asked the 1249 01:08:13,520 --> 01:08:16,240 Speaker 1: leasing offices at his new apartment, do you guys change 1250 01:08:16,280 --> 01:08:19,280 Speaker 1: the toilet seat before I move in. That's a good call. 1251 01:08:19,320 --> 01:08:21,280 Speaker 1: By the way, there's a lot of places we'll get 1252 01:08:21,680 --> 01:08:23,519 Speaker 1: they'll get cheap on that one, and they won't. You 1253 01:08:23,560 --> 01:08:25,200 Speaker 1: want to You want a fresh toilet seat when you 1254 01:08:25,200 --> 01:08:27,360 Speaker 1: move into an apartment where someone else where someone else 1255 01:08:27,400 --> 01:08:30,000 Speaker 1: has live. But yeah, there's o there's celebrities. Yeah, and 1256 01:08:30,000 --> 01:08:33,080 Speaker 1: there's some NBA players, and we we end up happening there. 1257 01:08:33,080 --> 01:08:35,559 Speaker 1: Why people got tests early who are celebrities is because 1258 01:08:35,560 --> 01:08:37,879 Speaker 1: they have money on access and they went to private, 1259 01:08:38,360 --> 01:08:40,720 Speaker 1: private testing facilities and said, you know what's it going 1260 01:08:40,760 --> 01:08:43,160 Speaker 1: to cost? And they you know, this is the way, 1261 01:08:43,200 --> 01:08:45,360 Speaker 1: this is the way the world works. Unfortunately, so people 1262 01:08:45,360 --> 01:08:49,000 Speaker 1: were rightly upset about that, but there was no surprise 1263 01:08:49,120 --> 01:08:50,840 Speaker 1: there really. I mean, that's the way these things are 1264 01:08:50,840 --> 01:08:53,160 Speaker 1: going to happen, the same way that you have now 1265 01:08:53,280 --> 01:08:59,200 Speaker 1: hoarding of chloroquin, not chloroquin phosphate, which is fish tank cleaner, 1266 01:08:59,240 --> 01:09:03,120 Speaker 1: which will kill you, as everybody already knows. Now despite 1267 01:09:03,120 --> 01:09:05,479 Speaker 1: the media saying Trump told them to drink, no he 1268 01:09:05,520 --> 01:09:09,240 Speaker 1: did not. But there is there's hoarding of chloroquine and 1269 01:09:09,280 --> 01:09:14,040 Speaker 1: hydroxy chloroquine, the anti malaria drug that we we're not 1270 01:09:14,080 --> 01:09:16,040 Speaker 1: going to know if that really works probably, I guess 1271 01:09:16,080 --> 01:09:17,680 Speaker 1: for another week or two. They are using it in 1272 01:09:17,680 --> 01:09:22,160 Speaker 1: New York. But the therapy round of it must be 1273 01:09:22,200 --> 01:09:23,960 Speaker 1: at least a week to ten days before you have 1274 01:09:24,000 --> 01:09:28,080 Speaker 1: any sense of how effective it is. So, but doctors 1275 01:09:28,080 --> 01:09:30,559 Speaker 1: are hoarding that and people are hoarding it, and it 1276 01:09:30,600 --> 01:09:32,799 Speaker 1: is used for other conditions. I think it's used for lupus, 1277 01:09:32,840 --> 01:09:35,360 Speaker 1: and there are a few. I think there's some autoimmune 1278 01:09:35,400 --> 01:09:39,200 Speaker 1: situations where you can use chloroquine to suppress it. So 1279 01:09:40,280 --> 01:09:43,080 Speaker 1: that's something you're seeing going on right now. And then 1280 01:09:43,120 --> 01:09:45,760 Speaker 1: you also have people who have tried to get and 1281 01:09:45,800 --> 01:09:48,160 Speaker 1: just hold one, like in their closet or something, a 1282 01:09:48,200 --> 01:09:52,960 Speaker 1: respirator for themselves. Our ventilator rather, you know, the ventilator 1283 01:09:53,120 --> 01:09:57,320 Speaker 1: is the machine that breathes for you when you can't 1284 01:09:57,360 --> 01:10:01,719 Speaker 1: breathe Trump speaking on that, I did see that Trump 1285 01:10:01,840 --> 01:10:05,400 Speaker 1: was not happy with. You know, we've been talking about 1286 01:10:05,400 --> 01:10:07,880 Speaker 1: the Defense Production Act and General Motors and what's going 1287 01:10:07,920 --> 01:10:14,280 Speaker 1: on there. Trump is very displeased with the speed of 1288 01:10:14,439 --> 01:10:17,240 Speaker 1: General Motors. On one Here's what he said. General Motors 1289 01:10:17,400 --> 01:10:21,960 Speaker 1: must immediately open their stupidly abandoned Lordstown Planet Ohio or 1290 01:10:22,040 --> 01:10:25,519 Speaker 1: some other plan and start making ventilators. Now all caps. 1291 01:10:26,160 --> 01:10:28,000 Speaker 1: When the Trumpster puts it in all caps, you know 1292 01:10:28,040 --> 01:10:32,640 Speaker 1: he's for real. Ford get going on ventilators fast. So 1293 01:10:32,760 --> 01:10:37,080 Speaker 1: the President saying, hey, we we you know, we've been 1294 01:10:37,080 --> 01:10:42,120 Speaker 1: telling people, We've been telling people to have a you know, 1295 01:10:42,160 --> 01:10:45,800 Speaker 1: open mind about working with the private sector without government mandate. 1296 01:10:45,880 --> 01:10:48,439 Speaker 1: Just the private sector stepping up. It's starting to sound 1297 01:10:48,439 --> 01:10:51,960 Speaker 1: like the President may have to say, Okay, now you're 1298 01:10:52,000 --> 01:10:54,240 Speaker 1: now you're getting they're gonna get paid. Right this is 1299 01:10:54,240 --> 01:10:58,800 Speaker 1: an appropriation of property without compensation. But under the Defense 1300 01:10:58,800 --> 01:11:01,000 Speaker 1: Production Act, you're going to make ventilators, and you're gonna 1301 01:11:01,000 --> 01:11:04,719 Speaker 1: make them now right now. Not not going to finish 1302 01:11:04,800 --> 01:11:07,960 Speaker 1: the line of cars. We'll have to see how these 1303 01:11:07,960 --> 01:11:09,920 Speaker 1: companies have stepped up. A lot of people I know 1304 01:11:10,040 --> 01:11:12,160 Speaker 1: and you know, could look conservatives. We understand that the 1305 01:11:12,200 --> 01:11:16,080 Speaker 1: free market and private industry is where prosperity comes from. 1306 01:11:16,120 --> 01:11:19,120 Speaker 1: So I totally agree and understand with that point of view. 1307 01:11:19,680 --> 01:11:22,320 Speaker 1: But we've been saying the private sector is stepping up 1308 01:11:22,320 --> 01:11:24,840 Speaker 1: in with some of these companies. We're going to expect 1309 01:11:24,880 --> 01:11:29,120 Speaker 1: some results here soon. I better see some General motors ventilators, 1310 01:11:29,240 --> 01:11:32,320 Speaker 1: you know, getting shipped across the country by the thousands 1311 01:11:32,760 --> 01:11:35,800 Speaker 1: this week. Thanks for listening to the bus sets and 1312 01:11:35,880 --> 01:11:40,040 Speaker 1: show podcasts. Remember to subscribe on Apple podcasts, the iHeart 1313 01:11:40,120 --> 01:11:44,160 Speaker 1: Radio app, or wherever you get your podcasts, if we 1314 01:11:44,240 --> 01:11:47,519 Speaker 1: get on TV and it gets sensationalized, you stir people up. 1315 01:11:47,880 --> 01:11:50,880 Speaker 1: It's just it just leads to bad things. That's my point. 1316 01:11:50,880 --> 01:11:52,840 Speaker 1: How we are working. We're just as hard as we 1317 01:11:52,920 --> 01:11:55,640 Speaker 1: possibly can with the full force of government and the 1318 01:11:55,680 --> 01:11:58,519 Speaker 1: full force of private enterprise. And that's the best we 1319 01:11:58,560 --> 01:12:01,080 Speaker 1: can do right now. We all us a country got 1320 01:12:01,120 --> 01:12:05,479 Speaker 1: dealt a bad hand by China. Peter, that is just 1321 01:12:05,520 --> 01:12:07,240 Speaker 1: a waste of time to say that. I'm going to 1322 01:12:07,360 --> 01:12:09,880 Speaker 1: leave it there, Peter Navarro, were just trying to get 1323 01:12:09,880 --> 01:12:14,320 Speaker 1: her hands around the time. We're out of time, and 1324 01:12:14,360 --> 01:12:19,960 Speaker 1: that's just there. You have a third tier CNN anchor 1325 01:12:20,000 --> 01:12:24,040 Speaker 1: who has never been very bright, being nasty to a 1326 01:12:24,120 --> 01:12:29,760 Speaker 1: presidential economic advisor. I watched the whole about eight minute exchange. 1327 01:12:30,439 --> 01:12:33,080 Speaker 1: She was just a petulant child. She was disrespectful the 1328 01:12:33,200 --> 01:12:35,720 Speaker 1: entire time, which is classic at CNN. I mean I 1329 01:12:35,840 --> 01:12:37,160 Speaker 1: used to just so you know, when I used to 1330 01:12:37,200 --> 01:12:39,639 Speaker 1: go on CNN when I was a paid contributor there before, 1331 01:12:39,680 --> 01:12:42,080 Speaker 1: it was completely insane, like it was crazy, but you 1332 01:12:42,120 --> 01:12:44,120 Speaker 1: could kind of reason with them a little bit. Sometimes 1333 01:12:44,280 --> 01:12:46,920 Speaker 1: Now they've they've they've lost their minds. I'm actually, I'm 1334 01:12:46,920 --> 01:12:48,760 Speaker 1: not sure. I'm I'm a band from the building as 1335 01:12:48,760 --> 01:12:51,519 Speaker 1: a security risk. But the head of CNN saw me 1336 01:12:51,600 --> 01:12:53,400 Speaker 1: and like gave me a weird look and was like, 1337 01:12:53,400 --> 01:12:55,679 Speaker 1: what are you doing here? Once so I'm pretty sure 1338 01:12:55,800 --> 01:12:58,599 Speaker 1: that I'm pretty sure I'm not allowed that, which is great. 1339 01:12:58,600 --> 01:13:00,560 Speaker 1: I wouldn't go I would I would go on and 1340 01:13:00,840 --> 01:13:02,280 Speaker 1: fight with them, and they know that they don't want 1341 01:13:02,320 --> 01:13:06,759 Speaker 1: to deal with that. So, but you had a Keeler 1342 01:13:06,920 --> 01:13:14,719 Speaker 1: whatever her name is, being all aggressive here with Peter Navarro, 1343 01:13:15,479 --> 01:13:18,000 Speaker 1: and this is what was going on. She kept saying, 1344 01:13:18,640 --> 01:13:21,439 Speaker 1: you guys have done a bad job preparing. Can you 1345 01:13:21,560 --> 01:13:23,719 Speaker 1: get to the number? Can you get to a million? 1346 01:13:23,840 --> 01:13:27,160 Speaker 1: A million ventilators? And he kept saying, well, hold on 1347 01:13:27,200 --> 01:13:30,360 Speaker 1: a second, can let's address this. You're making a claim 1348 01:13:30,400 --> 01:13:33,519 Speaker 1: that the administration has done a bad job preparing for this, 1349 01:13:34,000 --> 01:13:35,920 Speaker 1: and then you're saying we need a million ventilators, which 1350 01:13:36,000 --> 01:13:38,840 Speaker 1: keep in mind, no administration ever thought that they needed 1351 01:13:38,840 --> 01:13:42,200 Speaker 1: to have a million ventilators on hand. A million ventilators 1352 01:13:42,240 --> 01:13:44,559 Speaker 1: a lot of machines, folks. These machines cost about I'm 1353 01:13:44,560 --> 01:13:45,680 Speaker 1: not saying we don't have the money for it, but 1354 01:13:45,720 --> 01:13:47,240 Speaker 1: it's a lot of machines that are costs of twenty 1355 01:13:47,280 --> 01:13:50,759 Speaker 1: to thirty thousand dollars apiece a million of them. Somebody 1356 01:13:50,800 --> 01:13:52,200 Speaker 1: else is going to have to do that math for me. 1357 01:13:52,680 --> 01:13:56,120 Speaker 1: So she's making this claim, and Peter Navarro kept trying 1358 01:13:56,160 --> 01:13:59,240 Speaker 1: to say, look, here's the reality of the situation. It's 1359 01:13:59,320 --> 01:14:03,240 Speaker 1: unprecedented to nobody else. No other administration would have ever 1360 01:14:03,280 --> 01:14:05,040 Speaker 1: you know, if you'd try to get funding for a 1361 01:14:05,040 --> 01:14:07,160 Speaker 1: million ventilators, people would have laughed at you. I thought 1362 01:14:07,160 --> 01:14:09,760 Speaker 1: you were insane, right, So, and she just kept she 1363 01:14:09,840 --> 01:14:11,640 Speaker 1: kept hammering the point she's trying to play, you know, 1364 01:14:11,680 --> 01:14:14,559 Speaker 1: trying to pander to the CNN audience, which just wants 1365 01:14:14,560 --> 01:14:16,240 Speaker 1: to hear how terrible Trump is and who doesn't care 1366 01:14:16,280 --> 01:14:18,280 Speaker 1: about old people or any people dying for that matter. 1367 01:14:18,320 --> 01:14:20,519 Speaker 1: He just wants to you know, make more money and 1368 01:14:20,840 --> 01:14:23,479 Speaker 1: violate the emoluments clause and all this other psycho crap 1369 01:14:23,520 --> 01:14:26,280 Speaker 1: that they say all the time. But one part that 1370 01:14:26,439 --> 01:14:28,360 Speaker 1: kept coming up is, you know, he was saying, look, 1371 01:14:28,400 --> 01:14:32,600 Speaker 1: this is China cut six weeks out, and this is 1372 01:14:32,640 --> 01:14:36,120 Speaker 1: just true. China by lying and covering up cut six weeks, 1373 01:14:36,200 --> 01:14:40,040 Speaker 1: six weeks out of America's preparations for this. And if 1374 01:14:40,080 --> 01:14:45,160 Speaker 1: you're going to talk about how you know, how well 1375 01:14:45,160 --> 01:14:47,240 Speaker 1: the administration got ready for this. You have to be 1376 01:14:47,280 --> 01:14:49,160 Speaker 1: fair to the situation and say, well, you know, the 1377 01:14:49,240 --> 01:14:52,720 Speaker 1: Chinese were a big problem here and that other countries. 1378 01:14:53,560 --> 01:14:55,000 Speaker 1: You know, if this had broken out first in the 1379 01:14:55,040 --> 01:14:56,640 Speaker 1: UK or France, I think there would have been a 1380 01:14:56,680 --> 01:14:59,600 Speaker 1: lot more transparency and a lot more honesty. But the 1381 01:14:59,680 --> 01:15:02,519 Speaker 1: Chinese Communist Party is a bunch of liars who don't 1382 01:15:02,560 --> 01:15:05,400 Speaker 1: care about anything other than their power, and that's a 1383 01:15:05,479 --> 01:15:10,160 Speaker 1: real issue. CNN's anchor here just kept saying, that's a distraction, 1384 01:15:11,520 --> 01:15:15,040 Speaker 1: you know, It's it's a pretty remarkable circumstance that you're 1385 01:15:15,080 --> 01:15:19,080 Speaker 1: seeing play out, and it's not one that I will 1386 01:15:19,120 --> 01:15:24,400 Speaker 1: forget anytime soon that the liberal news media has an 1387 01:15:24,439 --> 01:15:28,599 Speaker 1: insistence in undermining any good news out of the Trump 1388 01:15:28,600 --> 01:15:33,320 Speaker 1: administration during this panic, while they will simultaneously and wholeheartedly 1389 01:15:33,360 --> 01:15:36,559 Speaker 1: believe any piece of absurd propaganda that China puts out. 1390 01:15:36,720 --> 01:15:39,960 Speaker 1: This is really all you have to know about their character, seriousness, 1391 01:15:40,000 --> 01:15:44,280 Speaker 1: and intelligence, all of which are deeply lacking. The Chinese 1392 01:15:44,360 --> 01:15:48,599 Speaker 1: government is claiming that they have sent tons and tons 1393 01:15:48,680 --> 01:15:53,639 Speaker 1: palettes of medical supplies to Italy, for example, and they're 1394 01:15:53,640 --> 01:15:56,759 Speaker 1: sending them to other countries, and our news media takes 1395 01:15:56,800 --> 01:16:02,400 Speaker 1: these little propaganda pieces from China and says, you know, look, 1396 01:16:02,520 --> 01:16:05,240 Speaker 1: China is the one stepping up with global leadership. People 1397 01:16:05,280 --> 01:16:09,080 Speaker 1: who think they're really smart look at these Chinese press 1398 01:16:09,120 --> 01:16:12,200 Speaker 1: releases and they say, oh, wow, China is doing a 1399 01:16:12,240 --> 01:16:14,680 Speaker 1: great job here. Why is in America cutting itself off 1400 01:16:14,720 --> 01:16:16,720 Speaker 1: from the world while China is trying to help. First 1401 01:16:16,760 --> 01:16:18,840 Speaker 1: of all, we're in the midst of the peak of 1402 01:16:18,840 --> 01:16:20,519 Speaker 1: our own or about to hit the peak of our 1403 01:16:20,520 --> 01:16:23,519 Speaker 1: own pandemic, and so yeah, it would seem a bit 1404 01:16:23,520 --> 01:16:26,360 Speaker 1: strange if we're trying to build more ventilators for our 1405 01:16:26,360 --> 01:16:29,080 Speaker 1: people to be sending a lot of ventilators abroad. But 1406 01:16:29,120 --> 01:16:31,120 Speaker 1: here's the other piece of this that the moron journalist 1407 01:16:31,160 --> 01:16:34,080 Speaker 1: crowd doesn't understand. Put aside from the China's full of lies, 1408 01:16:34,920 --> 01:16:38,479 Speaker 1: we sent, we send aid to China. We tried to 1409 01:16:38,479 --> 01:16:40,559 Speaker 1: help out the Chinese, and in fact that Chinese kind 1410 01:16:40,560 --> 01:16:42,519 Speaker 1: of rejected some of that aid, including from the World 1411 01:16:42,560 --> 01:16:46,120 Speaker 1: Health Organization initially, but rejected American offers of help too. 1412 01:16:47,000 --> 01:16:49,559 Speaker 1: And then we gave them help, and then they shipped 1413 01:16:50,200 --> 01:16:53,040 Speaker 1: help with medical supplies, and then they've shipped medical supplies 1414 01:16:53,280 --> 01:16:57,280 Speaker 1: to other countries now in just a propaganda effort, and 1415 01:16:57,520 --> 01:16:59,800 Speaker 1: our media reports on this as though, Oh, look at 1416 01:16:59,840 --> 01:17:02,160 Speaker 1: China and stepping up and showing all this leadership. Yeah, 1417 01:17:02,200 --> 01:17:04,840 Speaker 1: China's done a great job, for example, sending testing kits 1418 01:17:04,880 --> 01:17:07,360 Speaker 1: to Spain. Do you know what the percentage of those 1419 01:17:07,360 --> 01:17:09,800 Speaker 1: testing kits? Hundreds of thousands of testing kits they sent 1420 01:17:09,840 --> 01:17:12,200 Speaker 1: to Spain. Our media is like, look at China stepping 1421 01:17:12,280 --> 01:17:16,080 Speaker 1: up here. The percentage of those kits that work thirty 1422 01:17:17,080 --> 01:17:18,519 Speaker 1: Now you might say, okay, well, at least they have 1423 01:17:18,520 --> 01:17:20,880 Speaker 1: thirty percent working kits. They don't know which kits work 1424 01:17:20,880 --> 01:17:24,120 Speaker 1: and which. Don't think about what that does then to 1425 01:17:24,200 --> 01:17:27,280 Speaker 1: the testing capacity in Spain. They have to run a 1426 01:17:27,320 --> 01:17:28,920 Speaker 1: test to see if they can actually work or not. 1427 01:17:29,360 --> 01:17:31,240 Speaker 1: They got one hundreds of thousands of tests now from 1428 01:17:31,320 --> 01:17:33,479 Speaker 1: China that they can really use, or if they try 1429 01:17:33,479 --> 01:17:34,840 Speaker 1: to use some of them, they can only use a 1430 01:17:34,840 --> 01:17:37,479 Speaker 1: percentage of them, right, I mean, you know what I 1431 01:17:37,520 --> 01:17:39,400 Speaker 1: think of it this way? How if you're in the 1432 01:17:39,439 --> 01:17:42,679 Speaker 1: middle of a war and I send you a million 1433 01:17:42,760 --> 01:17:45,960 Speaker 1: rounds of ammunition, but only thirty percent of them will 1434 01:17:46,000 --> 01:17:48,800 Speaker 1: actually fire, and you don't know which ones am am 1435 01:17:48,800 --> 01:17:50,680 Speaker 1: I doing you a big, a big favor with that? 1436 01:17:51,479 --> 01:17:53,719 Speaker 1: Do you want to be on the front lines, you know, click, oops, 1437 01:17:53,720 --> 01:17:55,680 Speaker 1: didn't fire? Do you want to be the doctor that's 1438 01:17:55,760 --> 01:17:57,599 Speaker 1: running a test for somebody that needs to find out 1439 01:17:57,600 --> 01:17:59,800 Speaker 1: before they go back home and possibly infect other people 1440 01:18:00,400 --> 01:18:03,080 Speaker 1: whether or not they have coronavirus? And then you go, oh, 1441 01:18:03,160 --> 01:18:05,439 Speaker 1: you wait four days or five days or twelve hours 1442 01:18:05,479 --> 01:18:07,760 Speaker 1: or whatever it is with the Chinese test, I don't know, 1443 01:18:08,520 --> 01:18:11,120 Speaker 1: and then you find out, oh, no, results inconclusive or 1444 01:18:11,160 --> 01:18:13,760 Speaker 1: what if the results are wrong? You do we think 1445 01:18:13,760 --> 01:18:16,040 Speaker 1: that we can actually trust these tests being sent from 1446 01:18:16,120 --> 01:18:22,840 Speaker 1: China America because our own media really watches the authoritarianism 1447 01:18:23,160 --> 01:18:26,920 Speaker 1: of China with some envy, you know, the the American 1448 01:18:27,040 --> 01:18:30,559 Speaker 1: progressive movement, American liberals wish that they could do what 1449 01:18:30,640 --> 01:18:34,479 Speaker 1: China does, which is just make people do whatever they want. 1450 01:18:35,520 --> 01:18:37,040 Speaker 1: May you know, once you're in charge of the government, 1451 01:18:37,080 --> 01:18:38,519 Speaker 1: you make people do whatever you want and there's no 1452 01:18:38,960 --> 01:18:41,559 Speaker 1: questioning it, there's no weight. But we have a constitution. No, 1453 01:18:41,560 --> 01:18:44,200 Speaker 1: don't know. American lives, if they had their way, would 1454 01:18:44,240 --> 01:18:46,479 Speaker 1: do what the Chinese Communist Party does. They would just 1455 01:18:46,520 --> 01:18:49,000 Speaker 1: be nicer, but they would just tell people this is 1456 01:18:49,000 --> 01:18:51,400 Speaker 1: how it's going to go. You know, they see things 1457 01:18:51,400 --> 01:18:54,040 Speaker 1: like the Green New Deal and they say, oh, China 1458 01:18:54,080 --> 01:18:57,040 Speaker 1: could institute that, so well, you know, China would do this, 1459 01:18:57,120 --> 01:18:59,240 Speaker 1: but we have to go through Congress, and we have 1460 01:18:59,320 --> 01:19:01,920 Speaker 1: Republican to get past, and we have a constitution that 1461 01:19:01,960 --> 01:19:05,200 Speaker 1: people will complain about when we trample it. So there's 1462 01:19:05,200 --> 01:19:07,280 Speaker 1: always been and this this is true. I mean Tom Friedman, 1463 01:19:07,360 --> 01:19:10,080 Speaker 1: some of the top columnists in liberal media for years 1464 01:19:10,120 --> 01:19:14,360 Speaker 1: have been writing about the China model with with with praise, 1465 01:19:15,080 --> 01:19:20,000 Speaker 1: with high praise, and in fact, Nicholas Cage anybody, I 1466 01:19:20,000 --> 01:19:22,880 Speaker 1: don't know if you guys remember that. And you look 1467 01:19:22,880 --> 01:19:25,519 Speaker 1: at the way Bloomberg has been covering China, and there's 1468 01:19:25,600 --> 01:19:31,519 Speaker 1: clearly some kind of weird, cozy relationship between Bloomberg and 1469 01:19:32,120 --> 01:19:34,680 Speaker 1: China and the ruling powers there. So you know that 1470 01:19:34,720 --> 01:19:38,519 Speaker 1: there's a lot. There's a lot to see here about 1471 01:19:38,560 --> 01:19:41,920 Speaker 1: the way that China is acting and the way that 1472 01:19:41,920 --> 01:19:44,880 Speaker 1: our news media is covering them, And there's there's a 1473 01:19:44,880 --> 01:19:49,680 Speaker 1: lot to be really outraged about because they you know, 1474 01:19:49,720 --> 01:19:53,240 Speaker 1: this is a moment where patriotism and truth matter, and 1475 01:19:53,479 --> 01:19:57,320 Speaker 1: the patriotism of the media is constantly in question. For 1476 01:19:57,360 --> 01:19:59,280 Speaker 1: me and really, they're actually just showing us that they're 1477 01:19:59,320 --> 01:20:02,240 Speaker 1: rooting for China against the Trump administration. Here would be 1478 01:20:02,240 --> 01:20:04,080 Speaker 1: a fun exercise, and just you could do this as 1479 01:20:04,080 --> 01:20:06,360 Speaker 1: a thought exercise, because you already know the answer. Do 1480 01:20:06,400 --> 01:20:09,799 Speaker 1: you think if you ask your average average seeing an anchor, 1481 01:20:09,840 --> 01:20:14,320 Speaker 1: who is more truthful Donald Trump or an official spokesperson 1482 01:20:14,640 --> 01:20:18,200 Speaker 1: spokesperson for the Chinese Communist Party? Who you know? So 1483 01:20:18,280 --> 01:20:21,000 Speaker 1: any you know the Chinese Foreign Minister Shi Jinping and 1484 01:20:21,080 --> 01:20:24,439 Speaker 1: anybody anyone in at the top level of Chinese government 1485 01:20:24,880 --> 01:20:27,160 Speaker 1: or Donald Trump? Who is more who is more honest 1486 01:20:27,200 --> 01:20:30,879 Speaker 1: and who is more trustworthy? Ninety nine percent of journalists 1487 01:20:30,880 --> 01:20:34,800 Speaker 1: would say that it's a well, maybe I should's ninety 1488 01:20:34,840 --> 01:20:37,720 Speaker 1: nine percent of the journalists who don't like Trump, which 1489 01:20:37,760 --> 01:20:40,719 Speaker 1: is ninety to ninety five percent of journalists, would say 1490 01:20:40,760 --> 01:20:42,920 Speaker 1: that it's you can trust China more than you can 1491 01:20:42,920 --> 01:20:45,120 Speaker 1: trust Trump. They believe this, you know, they believe this, 1492 01:20:45,720 --> 01:20:48,599 Speaker 1: which just goes to show you what terrible judgment they 1493 01:20:48,640 --> 01:20:51,880 Speaker 1: have and what a bunch of utter morons they are. 1494 01:20:52,120 --> 01:20:53,920 Speaker 1: And you know, there are people like Nancy Pelosi who 1495 01:20:53,920 --> 01:20:56,920 Speaker 1: are running around acting like we should listen to them 1496 01:20:57,360 --> 01:21:00,160 Speaker 1: because they know something about anything, but Nancy Pelosi knows 1497 01:21:00,200 --> 01:21:04,320 Speaker 1: how to be a cunning opportunist who will do anything 1498 01:21:04,360 --> 01:21:06,479 Speaker 1: she can to stay in power and to utilize power. 1499 01:21:06,600 --> 01:21:10,800 Speaker 1: That's what she knows. And she's a dogmatic lib So 1500 01:21:11,000 --> 01:21:14,800 Speaker 1: whatever whatever the left wing of the Democratic Party wants 1501 01:21:14,800 --> 01:21:17,960 Speaker 1: to do, Nancy Pelosi tries to bring that into reality. 1502 01:21:18,240 --> 01:21:21,799 Speaker 1: But she's going around saying, for example, we need I mean, here, 1503 01:21:22,200 --> 01:21:25,919 Speaker 1: just play clip twelve. We would hope that the government 1504 01:21:26,160 --> 01:21:31,400 Speaker 1: production of the Defensive of Production Office Agency would be 1505 01:21:31,560 --> 01:21:35,759 Speaker 1: called upon to call upon industry to convert to making 1506 01:21:35,880 --> 01:21:43,880 Speaker 1: ventilators in the rest, testing, testing, testing, mask masks, ventilators, ventilators, ventilators. 1507 01:21:43,920 --> 01:21:46,880 Speaker 1: What's the mystery? We need many more and ventilators just 1508 01:21:47,000 --> 01:21:50,080 Speaker 1: for your information. Is not about making a breathe easier. 1509 01:21:50,160 --> 01:21:54,639 Speaker 1: It's making a breathe period. It is vital to life 1510 01:21:54,680 --> 01:21:58,639 Speaker 1: and death in many, many, many cases. So we need 1511 01:21:58,800 --> 01:22:04,240 Speaker 1: an unlimited number, let's think of it that way, endless 1512 01:22:04,320 --> 01:22:09,040 Speaker 1: number of ventilators, and just to name one thing, an 1513 01:22:09,200 --> 01:22:13,120 Speaker 1: unlimited number of ventilators. We don't have an unlimited number 1514 01:22:13,120 --> 01:22:15,800 Speaker 1: of anything, but we're going to need an unlimited number 1515 01:22:15,800 --> 01:22:21,479 Speaker 1: of ventilators. That's really her, that's her demand now well, 1516 01:22:21,479 --> 01:22:23,479 Speaker 1: how do we even how do we even do that? 1517 01:22:23,520 --> 01:22:25,479 Speaker 1: I don't even know what that would look like. Then 1518 01:22:25,600 --> 01:22:27,920 Speaker 1: the numbers unlimited, we're just going to have, So what 1519 01:22:28,000 --> 01:22:29,880 Speaker 1: does that mean? We should have fifty million of them 1520 01:22:29,920 --> 01:22:35,520 Speaker 1: just just hanging around. They don't understand that there's man hours, labor, equipment, 1521 01:22:35,680 --> 01:22:38,719 Speaker 1: material that these things. I mean, Nancy Pelosi has never 1522 01:22:38,920 --> 01:22:41,719 Speaker 1: run a business other than the business of being shady, 1523 01:22:41,720 --> 01:22:45,400 Speaker 1: opportunistic Nancy Pelosi. She doesn't know anything. She's never worked 1524 01:22:45,439 --> 01:22:48,200 Speaker 1: for a company, she's never spent time learning about basic economics. 1525 01:22:48,479 --> 01:22:52,960 Speaker 1: All she knows is the liberal orthodoxy and how to 1526 01:22:53,160 --> 01:22:56,320 Speaker 1: enact it by playing the media. And well, I mean, 1527 01:22:56,439 --> 01:22:58,000 Speaker 1: the media is in her back pockets, so it couldn't 1528 01:22:58,000 --> 01:23:00,080 Speaker 1: be any easier for her. But yes, that's her, and 1529 01:23:00,080 --> 01:23:02,120 Speaker 1: that we need to have an unlimited number of ventilators. 1530 01:23:03,160 --> 01:23:07,439 Speaker 1: Oh gosh, she is just she's She's the worst, though, don't. 1531 01:23:07,520 --> 01:23:10,120 Speaker 1: I mean, Davlasi was actually the worst, but Pelosi sometimes 1532 01:23:10,400 --> 01:23:12,080 Speaker 1: gets pretty close for me. All Right, So I want 1533 01:23:12,080 --> 01:23:13,639 Speaker 1: to talk about what we're gonna do this weekend, folks. 1534 01:23:13,880 --> 01:23:15,800 Speaker 1: Enough so we've gotten through all the most important news 1535 01:23:15,800 --> 01:23:19,000 Speaker 1: for today. What are our weekends? And this is the quarantine, 1536 01:23:19,040 --> 01:23:21,720 Speaker 1: Freedom Hunt. Now, so what are the weekends going to 1537 01:23:21,760 --> 01:23:23,000 Speaker 1: look like for all of us? What are you going 1538 01:23:23,040 --> 01:23:26,000 Speaker 1: to be doing? And I've got one one thing that 1539 01:23:26,040 --> 01:23:27,320 Speaker 1: I need to share with you that I think will 1540 01:23:27,360 --> 01:23:31,920 Speaker 1: be a worthwhile recommendation. We'll bring in producer Mark to 1541 01:23:31,960 --> 01:23:33,240 Speaker 1: hear what he's got going on. Then we'll get to 1542 01:23:33,320 --> 01:23:38,000 Speaker 1: roll call, and then I'll send you off to just regroup, relax, 1543 01:23:38,479 --> 01:23:40,120 Speaker 1: keep calm. This weekend we'll get to all that. So 1544 01:23:42,000 --> 01:23:45,000 Speaker 1: you're in the Freedom Hunt. This is the Buck Sexton 1545 01:23:45,080 --> 01:23:53,360 Speaker 1: Show podcast. It's not every day that a zooppeeper with 1546 01:23:53,520 --> 01:23:57,799 Speaker 1: the prison for murder fryar. There are more captive tires 1547 01:23:57,800 --> 01:24:00,879 Speaker 1: in the US then there are in the wild throughout 1548 01:24:00,880 --> 01:24:05,960 Speaker 1: the world. The people are nuts, man, They're all crazy. 1549 01:24:08,640 --> 01:24:11,840 Speaker 1: I'm sure you all got a story to too. I 1550 01:24:11,840 --> 01:24:17,400 Speaker 1: gotta tell you. I watched two two episodes of this 1551 01:24:17,520 --> 01:24:22,840 Speaker 1: last night with the still mystery lady in my in 1552 01:24:23,439 --> 01:24:26,200 Speaker 1: my life who will team Buck. You'll meet and hear 1553 01:24:26,240 --> 01:24:28,960 Speaker 1: about her at some point. But I watched two episodes 1554 01:24:29,320 --> 01:24:35,400 Speaker 1: of that show Tiger King last night. It is phenomenal. 1555 01:24:35,880 --> 01:24:39,840 Speaker 1: It's so like crazy and weird, and I love animals. 1556 01:24:40,280 --> 01:24:44,559 Speaker 1: I remember being maybe a kindergartener, first grader and telling people, 1557 01:24:44,720 --> 01:24:46,400 Speaker 1: and mostly just because I was impressed. I think that 1558 01:24:46,400 --> 01:24:47,600 Speaker 1: I knew the word, but that I wanted to be 1559 01:24:47,640 --> 01:24:50,559 Speaker 1: an animal conservationist. I don't think I ever really, And 1560 01:24:50,680 --> 01:24:53,920 Speaker 1: I had watched some of these National Geographic VHS. National 1561 01:24:54,160 --> 01:24:57,400 Speaker 1: Geographic had this great series, this VHS series back in 1562 01:24:57,439 --> 01:25:00,680 Speaker 1: the day when we had VHS tapes that shows you 1563 01:25:00,800 --> 01:25:04,000 Speaker 1: what a graybeard millennial I am. Where they had They 1564 01:25:04,000 --> 01:25:06,519 Speaker 1: had one on sharks that was amazing. They had one 1565 01:25:06,560 --> 01:25:10,120 Speaker 1: with Jane Goodall and chimpanzees that was incredible. They had 1566 01:25:10,160 --> 01:25:14,080 Speaker 1: these sort of I don't know, these episodes of Natural 1567 01:25:14,120 --> 01:25:18,880 Speaker 1: Geographic back when everything was VHS and you know, or 1568 01:25:19,080 --> 01:25:22,639 Speaker 1: old school cable TV. And I watched those. I watched 1569 01:25:22,640 --> 01:25:25,800 Speaker 1: those tapes until they fell apart. So I loved I 1570 01:25:25,880 --> 01:25:28,080 Speaker 1: Love with the Shark one in particular, which was really 1571 01:25:28,080 --> 01:25:30,599 Speaker 1: amazing because this is back, this is before Shark Week, 1572 01:25:31,040 --> 01:25:33,439 Speaker 1: is before you had all that cool stuff. So and 1573 01:25:33,479 --> 01:25:35,920 Speaker 1: they kind of overdid Shark Week like they overpromised. After 1574 01:25:35,960 --> 01:25:37,600 Speaker 1: a while, I kept watching Princer Mark it was the 1575 01:25:37,680 --> 01:25:42,080 Speaker 1: last time you watched Shark Week never You've never seen it. 1576 01:25:42,439 --> 01:25:44,600 Speaker 1: I mean, like I've seen commercials and stuff, but it 1577 01:25:44,720 --> 01:25:48,120 Speaker 1: wasn't interesting as much. Fifteen years ago it was pretty cool, 1578 01:25:48,479 --> 01:25:50,800 Speaker 1: but then every year it's just like okay, and like, 1579 01:25:51,280 --> 01:25:53,960 Speaker 1: now we're going to look at like this series of 1580 01:25:54,000 --> 01:25:55,920 Speaker 1: attacks that we don't know if they really happened, but 1581 01:25:56,000 --> 01:25:58,280 Speaker 1: maybe they did. And these people didn't drown, they were 1582 01:25:58,280 --> 01:26:00,000 Speaker 1: eaten by sharks. You're just like just a lead up 1583 01:26:00,000 --> 01:26:04,360 Speaker 1: to Sharknado. Now, now, I mean, Sharknado is not something 1584 01:26:04,360 --> 01:26:08,040 Speaker 1: I've ever seen. I think Anne Coulter, who's who's a 1585 01:26:08,120 --> 01:26:10,479 Speaker 1: friend of the show, I think she was in Sharknado two. 1586 01:26:10,680 --> 01:26:13,920 Speaker 1: I'm being serious. I think she was too. That sounds right, Yeah, 1587 01:26:14,000 --> 01:26:16,040 Speaker 1: I think she was, which is pretty awesome. He's got 1588 01:26:16,040 --> 01:26:19,439 Speaker 1: a great se as of huber. So anyway, I you know, 1589 01:26:19,640 --> 01:26:21,840 Speaker 1: the shark stuff is a little bit overdone now. I mean, 1590 01:26:21,840 --> 01:26:23,920 Speaker 1: once you've seen those gray white sharks that killed us, 1591 01:26:24,000 --> 01:26:25,439 Speaker 1: that eat the seals and fly out of the water 1592 01:26:25,520 --> 01:26:28,280 Speaker 1: when they do. That's the most amazing ocean footage I've 1593 01:26:28,280 --> 01:26:32,000 Speaker 1: ever seen of anything. So that's pretty incredible. But anyway, 1594 01:26:32,000 --> 01:26:34,960 Speaker 1: I'm somebody who does like watching you know, these nature shows, 1595 01:26:35,000 --> 01:26:38,479 Speaker 1: actually the Netflix Nature at Night or whatever it's called. 1596 01:26:38,600 --> 01:26:42,880 Speaker 1: It's something at Night about different you know, animal ecosystems. 1597 01:26:42,680 --> 01:26:47,240 Speaker 1: That was pretty well done. But The Tiger King is 1598 01:26:47,280 --> 01:26:52,800 Speaker 1: about a guy named Joe Exotic mostly there's some other 1599 01:26:52,840 --> 01:26:58,760 Speaker 1: people that are central players too, who raises lion cubs, 1600 01:26:59,479 --> 01:27:02,800 Speaker 1: tiger cubs obviously all I can't even name all the 1601 01:27:02,880 --> 01:27:05,519 Speaker 1: animals that they've got. They've got hundreds of them. And 1602 01:27:05,560 --> 01:27:09,639 Speaker 1: he's got this zoo out in Oklahoma. Now he's in prison. 1603 01:27:09,760 --> 01:27:12,879 Speaker 1: That's in the first episodes. I'm not giving anything away. 1604 01:27:12,880 --> 01:27:15,240 Speaker 1: It's just amazing. I mean, you've got to see this thing, 1605 01:27:15,680 --> 01:27:19,679 Speaker 1: first of all, because the watching him play with these 1606 01:27:19,760 --> 01:27:23,000 Speaker 1: baby tiger kittens. They're the cutest things you've ever seen, 1607 01:27:23,479 --> 01:27:25,680 Speaker 1: all right, and then you realize that people pay a 1608 01:27:25,720 --> 01:27:29,639 Speaker 1: lot of money to go pet these baby tigers. Producer Mark, 1609 01:27:29,800 --> 01:27:32,280 Speaker 1: what do you think it costs to go to one 1610 01:27:32,320 --> 01:27:35,559 Speaker 1: of these special animal preserves? There's one in Florida, there's one, 1611 01:27:36,479 --> 01:27:38,840 Speaker 1: there's one in Oklahoma. As I said, what do you 1612 01:27:38,880 --> 01:27:42,160 Speaker 1: think it costs to go in and pet the six 1613 01:27:42,200 --> 01:27:44,920 Speaker 1: week old tiger cub? I'm gonna say at least five 1614 01:27:45,000 --> 01:27:47,000 Speaker 1: hundred dollars. Yeah, it's about right. It's like a three 1615 01:27:47,040 --> 01:27:50,599 Speaker 1: to five hundo it's a lot. Yeah, that's expensive. People 1616 01:27:50,640 --> 01:27:53,200 Speaker 1: pay real and of course they take the selfies with it. 1617 01:27:53,479 --> 01:27:57,639 Speaker 1: And there's a whole thing about Tinder selfies with big 1618 01:27:57,720 --> 01:27:59,519 Speaker 1: cats as a way to get people's attention. So that 1619 01:27:59,600 --> 01:28:02,599 Speaker 1: was a thing people were taking. And you can take 1620 01:28:02,640 --> 01:28:04,599 Speaker 1: photos with the with the big I mean the lions 1621 01:28:04,640 --> 01:28:06,760 Speaker 1: that are you know, five six, seven hundred pounds. I 1622 01:28:06,760 --> 01:28:09,920 Speaker 1: mean these animals are enormous and guess what, very dangerous, 1623 01:28:09,960 --> 01:28:12,120 Speaker 1: which also comes up at some parts in the show. 1624 01:28:12,920 --> 01:28:15,840 Speaker 1: But it's it's amazing. Yeah. I also, uh, you know, 1625 01:28:15,920 --> 01:28:18,120 Speaker 1: Disneyland is expect like some of these places that you 1626 01:28:18,160 --> 01:28:21,000 Speaker 1: don't realize, like how Disneyland's expensive to go to, isn't it? 1627 01:28:21,200 --> 01:28:23,960 Speaker 1: Oh yeah, very expensive? Have you never been never been 1628 01:28:24,000 --> 01:28:27,320 Speaker 1: a disney Land? Oh my god? Yeah, it's like I'm 1629 01:28:27,320 --> 01:28:30,320 Speaker 1: barely America. What about like Universal any of that stuff? No, 1630 01:28:30,640 --> 01:28:32,720 Speaker 1: do you just not like rides? I didn't do. I 1631 01:28:32,720 --> 01:28:34,160 Speaker 1: didn't really do theme parks. I used to go to 1632 01:28:34,240 --> 01:28:36,040 Speaker 1: Rye Playland a lot as a kid, which is the 1633 01:28:36,040 --> 01:28:39,280 Speaker 1: most like bootleg theme park. Yeah, to get to New 1634 01:28:39,360 --> 01:28:43,320 Speaker 1: York Park, that place sucks, just like the I mean seriously, 1635 01:28:43,560 --> 01:28:46,320 Speaker 1: when my older brother would put me in the grocery 1636 01:28:46,360 --> 01:28:48,840 Speaker 1: store card and make me go real fast until I scared. 1637 01:28:48,840 --> 01:28:50,280 Speaker 1: I got scared to tell them to slow down. We 1638 01:28:50,320 --> 01:28:52,639 Speaker 1: were little kids. That was more fun than the Rye 1639 01:28:52,680 --> 01:28:56,040 Speaker 1: Playland roller coasters. I mean, what age did you go 1640 01:28:56,160 --> 01:28:58,760 Speaker 1: to Rye play Leg because that's built for like kids? Yeah, 1641 01:28:58,880 --> 01:29:01,360 Speaker 1: like eight, nine, ten. Im My, Hey, I'm not like 1642 01:29:01,360 --> 01:29:04,760 Speaker 1: a weirdo here. I was going I was a little kid. Yeah, 1643 01:29:05,400 --> 01:29:07,040 Speaker 1: I'm not the thirty eight year old dude was walking 1644 01:29:07,080 --> 01:29:09,960 Speaker 1: around rite playlist and leading the cotton candy like, hey, 1645 01:29:09,960 --> 01:29:11,800 Speaker 1: I want to go all the rads. All right, that's 1646 01:29:11,800 --> 01:29:13,960 Speaker 1: weird to write Playland, but it's not that weird one 1647 01:29:14,040 --> 01:29:16,960 Speaker 1: at Disney, right, Yeah, exactly, I agree. But no, when 1648 01:29:17,000 --> 01:29:18,519 Speaker 1: I was a little kid, I used to go there 1649 01:29:18,600 --> 01:29:20,599 Speaker 1: and check this stuff out. But I'm telling you, guys 1650 01:29:20,680 --> 01:29:23,720 Speaker 1: this weekend, if you're in quarantine or if we're just 1651 01:29:23,760 --> 01:29:27,519 Speaker 1: trying to lay low for the weekend, Tiger Tiger King 1652 01:29:27,880 --> 01:29:30,080 Speaker 1: is amazing. So far, I've only two episodes in, but 1653 01:29:30,120 --> 01:29:34,080 Speaker 1: it is fantastic. Producer Mark, you and missus Producer Mark 1654 01:29:34,120 --> 01:29:36,080 Speaker 1: should try it. I'm telling you, I think that was 1655 01:29:36,120 --> 01:29:38,360 Speaker 1: on the docket for the weekend. Yeah, you guys should 1656 01:29:38,360 --> 01:29:42,519 Speaker 1: do that one. It's it's nuts like here's it's just 1657 01:29:42,600 --> 01:29:44,720 Speaker 1: the whole and the people that are involved. I mean, 1658 01:29:44,720 --> 01:29:49,160 Speaker 1: it's when when you find out that somebody has all 1659 01:29:49,200 --> 01:29:51,000 Speaker 1: these animals, you think this must be an interesting show, 1660 01:29:51,040 --> 01:29:52,360 Speaker 1: and then you find out more about the people and 1661 01:29:52,360 --> 01:29:55,320 Speaker 1: you realize it's a really interesting show. Thanks for listening 1662 01:29:55,320 --> 01:29:58,760 Speaker 1: to the bus seton show podcast. Remember to subscribe on 1663 01:29:58,840 --> 01:30:03,080 Speaker 1: Apple Podcast, iHeart Radio app or wherever you get your podcasts. 1664 01:30:04,360 --> 01:30:09,000 Speaker 1: All right, roll call, as we head off into our weekend. Man, 1665 01:30:09,080 --> 01:30:11,880 Speaker 1: this week went by pretty pretty quickly. I've got to say, 1666 01:30:11,960 --> 01:30:14,920 Speaker 1: it's you know, it's tense out there. It's stressful in 1667 01:30:14,920 --> 01:30:16,560 Speaker 1: the country right now. But team, we are going to 1668 01:30:16,600 --> 01:30:18,639 Speaker 1: get through it. Okay, We're gonna be all right, We're 1669 01:30:18,640 --> 01:30:21,360 Speaker 1: gonna rally. Let's get to your thoughts. Hey, Buck, I 1670 01:30:21,400 --> 01:30:23,439 Speaker 1: was completely blown away that you read my email on 1671 01:30:23,479 --> 01:30:25,599 Speaker 1: the show the other day. On Monday Show, you discussed 1672 01:30:25,600 --> 01:30:28,320 Speaker 1: the consequences of the shutdown on the emotional well being 1673 01:30:28,360 --> 01:30:31,160 Speaker 1: of people. As a small business owner myself, the stress 1674 01:30:31,240 --> 01:30:34,160 Speaker 1: is almost overwhelming. I'm only a couple of checks away 1675 01:30:34,160 --> 01:30:37,240 Speaker 1: from bankruptcy myself. The only comfort I can draw from 1676 01:30:37,280 --> 01:30:39,439 Speaker 1: this is the fact that I understand that I'm not alone. 1677 01:30:39,800 --> 01:30:42,759 Speaker 1: I'm absolutely certain there are tens of thousands of others 1678 01:30:42,760 --> 01:30:46,160 Speaker 1: that share my situation. Pittsburgh is now completely shut down 1679 01:30:46,160 --> 01:30:49,680 Speaker 1: except for life essential businesses, and you have to have 1680 01:30:49,720 --> 01:30:52,320 Speaker 1: a permit in your possession to go to work. Keep 1681 01:30:52,400 --> 01:30:54,120 Speaker 1: up the great Workbuckster. Listening to show is one of 1682 01:30:54,120 --> 01:30:57,000 Speaker 1: the highlights of my day. Still wearing my nitrile gloves 1683 01:30:57,800 --> 01:31:00,519 Speaker 1: nitral and holding my shields high, rying for an end 1684 01:31:00,560 --> 01:31:03,200 Speaker 1: of this nightmare. Jeff Man, I hear you. I'm so 1685 01:31:03,240 --> 01:31:05,160 Speaker 1: sorry that you're going through this, but you you are 1686 01:31:05,200 --> 01:31:08,280 Speaker 1: among millions. You are among millions, and you know. The 1687 01:31:08,280 --> 01:31:10,559 Speaker 1: one thing about this that I do think it's important 1688 01:31:10,560 --> 01:31:13,719 Speaker 1: for everybody to remember because I know, you know, small 1689 01:31:13,800 --> 01:31:16,200 Speaker 1: business owners in particular, people that are used to doing 1690 01:31:16,240 --> 01:31:20,280 Speaker 1: the right thing, putting in hard work. They have to 1691 01:31:20,320 --> 01:31:22,880 Speaker 1: live in the reality of what, you know, what their 1692 01:31:22,920 --> 01:31:25,560 Speaker 1: community can sustain, and they've got to do with customers, 1693 01:31:25,600 --> 01:31:28,519 Speaker 1: and you know, it's it requires a lot of people. 1694 01:31:28,720 --> 01:31:32,240 Speaker 1: And I know that when you have a setback with 1695 01:31:32,280 --> 01:31:35,640 Speaker 1: a business like that, people can really feel very Not 1696 01:31:35,640 --> 01:31:37,519 Speaker 1: only does it affect them obviously very deeply, but they 1697 01:31:37,520 --> 01:31:40,600 Speaker 1: can also internalize and take it personally. Just remember for 1698 01:31:40,640 --> 01:31:43,360 Speaker 1: anybody out there who right now is feeling the financial 1699 01:31:43,400 --> 01:31:46,400 Speaker 1: pain and is concerned and is worried and doesn't know 1700 01:31:46,439 --> 01:31:48,400 Speaker 1: how they're going to support their family and what's going 1701 01:31:48,400 --> 01:31:51,200 Speaker 1: to happen, just remember this, Always keep this in the 1702 01:31:51,240 --> 01:31:54,400 Speaker 1: back of your mind. Your responsibility, your fault for this 1703 01:31:54,520 --> 01:31:59,280 Speaker 1: situation is zero. It's not oh maybe I could have 1704 01:31:59,520 --> 01:32:01,920 Speaker 1: or a month to go, I should over. Your fault 1705 01:32:02,000 --> 01:32:04,879 Speaker 1: right now for the economic pain that you're feeling because 1706 01:32:05,000 --> 01:32:11,560 Speaker 1: of this pandemic is zero. You have no responsibility whatsoever 1707 01:32:11,680 --> 01:32:16,000 Speaker 1: for what has happened to you your business that is 1708 01:32:16,000 --> 01:32:18,400 Speaker 1: struggling now, or your business that has closed now, or 1709 01:32:18,439 --> 01:32:20,800 Speaker 1: the job that you have lost now. This is not 1710 01:32:20,840 --> 01:32:24,720 Speaker 1: a reflection on you, your capabilities, your hard work, or 1711 01:32:24,760 --> 01:32:29,040 Speaker 1: anything else. This is the virus equivalent of we just 1712 01:32:29,080 --> 01:32:32,200 Speaker 1: got hit with a tsunami that's you know, fifty feet 1713 01:32:32,200 --> 01:32:36,160 Speaker 1: of solid water and just wiped away whole towns. If 1714 01:32:36,200 --> 01:32:38,680 Speaker 1: you know, if your shop gets wiped away by the tsunami, 1715 01:32:39,120 --> 01:32:41,720 Speaker 1: it is not your fault. So I do think it's 1716 01:32:41,720 --> 01:32:43,920 Speaker 1: important to remember that as we move forward here, and 1717 01:32:44,680 --> 01:32:47,559 Speaker 1: you will rebound because the business that you were running 1718 01:32:47,560 --> 01:32:49,680 Speaker 1: a month or two ago, that was doing well and 1719 01:32:49,760 --> 01:32:52,040 Speaker 1: serving customers that you were proud of is going to 1720 01:32:52,080 --> 01:32:55,679 Speaker 1: be the business that you're running again when we get 1721 01:32:55,680 --> 01:32:57,640 Speaker 1: through this. You know, maybe you have to call it 1722 01:32:57,680 --> 01:32:59,439 Speaker 1: a different name or something, or maybe you've got to 1723 01:32:59,439 --> 01:33:02,120 Speaker 1: get some you know, new employees, our old employees back, 1724 01:33:02,200 --> 01:33:04,240 Speaker 1: or whatever does you do. But you'll still be that 1725 01:33:04,360 --> 01:33:07,519 Speaker 1: person in a few months when this is up and running, 1726 01:33:07,520 --> 01:33:09,960 Speaker 1: in hopefully sooner than that that you were before this 1727 01:33:10,000 --> 01:33:16,120 Speaker 1: whole thing happened. You've got to remember that, Maria. A 1728 01:33:16,200 --> 01:33:17,519 Speaker 1: topic that I would like to see covered in the 1729 01:33:17,560 --> 01:33:20,080 Speaker 1: midst of coronavirus talks is what Lindsay Graham is up to. 1730 01:33:20,600 --> 01:33:23,240 Speaker 1: With your mention of him on your last podcast, couple 1731 01:33:23,280 --> 01:33:25,760 Speaker 1: with Tucker Carlson's allegations against him and his appearance on 1732 01:33:25,760 --> 01:33:27,640 Speaker 1: Sean Hannity, I think we deserved of the truth of 1733 01:33:27,680 --> 01:33:31,479 Speaker 1: where his allegiance stands. You know, Maria, I look, I'll 1734 01:33:31,520 --> 01:33:33,479 Speaker 1: tell you this about Lindsay Graham. There aren't a lot 1735 01:33:33,520 --> 01:33:35,640 Speaker 1: of people that I'll say this about. Lindsay Graham and 1736 01:33:35,680 --> 01:33:39,000 Speaker 1: I had about a thirty minute conversation, you know, one 1737 01:33:39,040 --> 01:33:42,320 Speaker 1: to one in DC, and I, look, I don't care, 1738 01:33:42,360 --> 01:33:43,760 Speaker 1: I don't I feel like there are a lot of 1739 01:33:43,760 --> 01:33:45,439 Speaker 1: shows you can go to. You hear a lot of guests. 1740 01:33:45,760 --> 01:33:47,400 Speaker 1: That's why I put in a lot of sound, because 1741 01:33:47,479 --> 01:33:50,680 Speaker 1: newsmaking sound I'll use on this show to tell you 1742 01:33:50,720 --> 01:33:52,240 Speaker 1: what I think is going on. Because you know, you 1743 01:33:52,360 --> 01:33:54,360 Speaker 1: come here for the freedom, hud. You come here for 1744 01:33:54,400 --> 01:33:57,080 Speaker 1: this show, right, You're not coming here because oh I've 1745 01:33:57,080 --> 01:33:59,120 Speaker 1: every day I'm gonna have some member of Congress tell 1746 01:33:59,160 --> 01:34:01,720 Speaker 1: you what we all already you know. But I had 1747 01:34:01,760 --> 01:34:03,640 Speaker 1: a long chat with Lindsay Graham, and I'm somebody that 1748 01:34:03,760 --> 01:34:06,160 Speaker 1: my word is my bond and I really do adhere 1749 01:34:06,160 --> 01:34:10,920 Speaker 1: to that. And one reason why I've managed to stay 1750 01:34:10,960 --> 01:34:13,880 Speaker 1: on good charms with every company, every media entity that 1751 01:34:13,920 --> 01:34:15,640 Speaker 1: I've worked for, I mean, except for CNM, but that's 1752 01:34:15,640 --> 01:34:19,000 Speaker 1: a political thing, not a professional thing, is because I 1753 01:34:19,080 --> 01:34:22,360 Speaker 1: keep my word and I play a clean I you know, 1754 01:34:22,479 --> 01:34:25,680 Speaker 1: I play a clean game every time. And you know 1755 01:34:25,800 --> 01:34:27,920 Speaker 1: I Lindsay Graham. I shook his hand and he said 1756 01:34:27,920 --> 01:34:30,200 Speaker 1: he would love to come on the show, and you know, 1757 01:34:30,200 --> 01:34:32,120 Speaker 1: I asked him a couple of times, and all right, 1758 01:34:32,160 --> 01:34:34,000 Speaker 1: I went to his comms person. He didn't come on, 1759 01:34:34,040 --> 01:34:35,160 Speaker 1: and he shook my hand and said he was going 1760 01:34:35,200 --> 01:34:36,320 Speaker 1: to do it and then he didn't do it. I 1761 01:34:36,360 --> 01:34:37,960 Speaker 1: don't like that. I don't like that. Tell me that 1762 01:34:38,000 --> 01:34:39,760 Speaker 1: you're busy and you know, have me talk to your coms. Guy. 1763 01:34:39,760 --> 01:34:41,120 Speaker 1: I don't say I'm maps are going to do something 1764 01:34:41,120 --> 01:34:42,600 Speaker 1: and then not do it. And that's what that's what 1765 01:34:42,760 --> 01:34:47,439 Speaker 1: that's what happened. So I think that that's a character flaw. 1766 01:34:48,000 --> 01:34:50,360 Speaker 1: I really do, especially because I mean not to be 1767 01:34:50,439 --> 01:34:54,800 Speaker 1: that weird guy. But this radio show is bigger than 1768 01:34:55,240 --> 01:34:57,799 Speaker 1: most of the radio shows that he has done. For example, 1769 01:34:57,840 --> 01:35:00,160 Speaker 1: I mean, there's only a handful of radio shows that 1770 01:35:00,680 --> 01:35:02,640 Speaker 1: have a larger audience than this one, and you know, 1771 01:35:02,760 --> 01:35:04,880 Speaker 1: the ones that they are, the other ones do not. 1772 01:35:05,439 --> 01:35:08,439 Speaker 1: So that's why I sit here and I'm like, okay, 1773 01:35:08,479 --> 01:35:11,720 Speaker 1: so anyway, So I'm just telling you this to be 1774 01:35:11,760 --> 01:35:14,360 Speaker 1: honest about my assessment of whether or not Lindsay Graham 1775 01:35:15,720 --> 01:35:18,800 Speaker 1: is somebody who really means what he says. When someone 1776 01:35:18,840 --> 01:35:20,320 Speaker 1: shakes my hand, they say they're gonna do something and 1777 01:35:20,320 --> 01:35:25,000 Speaker 1: they don't do it. I remember that, and so that's 1778 01:35:25,000 --> 01:35:26,840 Speaker 1: where that's where I'm at with Lindsay Graham right now. 1779 01:35:26,840 --> 01:35:28,800 Speaker 1: You know, loves to go on and on Fox and 1780 01:35:29,040 --> 01:35:32,120 Speaker 1: talk a big game about things, but he doesn't follow 1781 01:35:32,160 --> 01:35:34,160 Speaker 1: through on a lot of stuff. He's bad on immigration, 1782 01:35:34,680 --> 01:35:36,479 Speaker 1: he talks tough on a lot of stuff and doesn't 1783 01:35:36,479 --> 01:35:39,520 Speaker 1: do anything. And yeah, I mean he stood up for Kavanaugh. 1784 01:35:39,640 --> 01:35:44,040 Speaker 1: But I gotta tell you, anybody with any character or 1785 01:35:44,080 --> 01:35:47,559 Speaker 1: decency or backbound that backbone should have gone the full 1786 01:35:47,600 --> 01:35:50,000 Speaker 1: Lindsay Graham in that moment. He did, and we got 1787 01:35:50,000 --> 01:35:52,599 Speaker 1: to give him credit for that. But I mean, good 1788 01:35:52,720 --> 01:35:54,320 Speaker 1: heavens man, I mean, the thing that they were doing 1789 01:35:54,320 --> 01:35:58,400 Speaker 1: at Kavanaugh was outrageous. So that's my assessment. I don't know, 1790 01:35:59,000 --> 01:36:01,559 Speaker 1: you know, as Lindsay Graham's somebody whose word, whose word 1791 01:36:01,600 --> 01:36:03,639 Speaker 1: about what he's going to do and where he stands 1792 01:36:04,000 --> 01:36:08,400 Speaker 1: is good. Jury's out for the Buckster on that one, 1793 01:36:09,880 --> 01:36:12,880 Speaker 1: Adam buck I'm worried now that some have gone a 1794 01:36:12,920 --> 01:36:14,759 Speaker 1: taste of the stay at home and do nothing lifestyle. 1795 01:36:14,840 --> 01:36:17,519 Speaker 1: My lead might lead to a dark path for some. 1796 01:36:18,080 --> 01:36:20,400 Speaker 1: Japan has been seeing this as a subculture for a while. 1797 01:36:20,439 --> 01:36:23,919 Speaker 1: Shields High Well, Adam, I do know that the Democrat 1798 01:36:23,960 --> 01:36:27,160 Speaker 1: Party wants to use this moment to create as much 1799 01:36:27,200 --> 01:36:30,880 Speaker 1: dependency as possible. That that's real that's going on right now. 1800 01:36:31,080 --> 01:36:34,240 Speaker 1: So I think we have to remember that as we 1801 01:36:34,280 --> 01:36:37,479 Speaker 1: go forward, And I do think that there's a concept 1802 01:36:37,520 --> 01:36:40,960 Speaker 1: that's gaining traction in some quarters that I couldn't quantify 1803 01:36:40,960 --> 01:36:43,080 Speaker 1: it for you, but I think it's real where people 1804 01:36:43,120 --> 01:36:44,920 Speaker 1: think that the government can just write checks and that 1805 01:36:44,960 --> 01:36:47,800 Speaker 1: can be the economy. And this is where there's a 1806 01:36:47,800 --> 01:36:49,800 Speaker 1: lot of talk about, well, if we can give people 1807 01:36:49,800 --> 01:36:51,960 Speaker 1: twelve hundred dollars an unemployment insurance for a few months, 1808 01:36:51,960 --> 01:36:54,679 Speaker 1: why not have a universal basic income? Why doesn't everyone 1809 01:36:54,720 --> 01:36:57,080 Speaker 1: just get an electronic transfer to a bank account of 1810 01:36:57,479 --> 01:37:00,160 Speaker 1: a thousand and two thousand dollars a month? And that 1811 01:37:00,200 --> 01:37:02,400 Speaker 1: stimul the economy? Wouldn't better for everybody? Well, as we 1812 01:37:02,479 --> 01:37:05,240 Speaker 1: know that you would start to see inflation. By the way, 1813 01:37:05,280 --> 01:37:06,840 Speaker 1: I mean, this is why if you gave everybody a 1814 01:37:06,880 --> 01:37:10,040 Speaker 1: million dollars, a million dollars wouldn't be a million dollars anymore. 1815 01:37:10,080 --> 01:37:12,439 Speaker 1: And this is a concept that you know, the left 1816 01:37:12,479 --> 01:37:17,040 Speaker 1: doesn't really understand or just pretends not to understand. Also, 1817 01:37:17,760 --> 01:37:19,880 Speaker 1: if you gave people every one a thousand dollars a month, 1818 01:37:19,960 --> 01:37:21,599 Speaker 1: then you know what happens, and they want two thousand 1819 01:37:21,600 --> 01:37:23,760 Speaker 1: dollars a month, and then in a couple of years, 1820 01:37:23,760 --> 01:37:25,840 Speaker 1: it's no everyone needs to have three thousand dollars a month, 1821 01:37:26,280 --> 01:37:28,080 Speaker 1: and you just keep on trying to ratchet up the 1822 01:37:28,080 --> 01:37:31,080 Speaker 1: taxation in order to pay for this redistribution of wealth. 1823 01:37:31,880 --> 01:37:34,400 Speaker 1: So yeah, it's it's something. But look, I think most 1824 01:37:34,439 --> 01:37:36,280 Speaker 1: of the millions of people right now that are out 1825 01:37:36,280 --> 01:37:38,040 Speaker 1: of work, I mean a vast majority of them want 1826 01:37:38,040 --> 01:37:40,640 Speaker 1: to get back to work. They want to get back 1827 01:37:40,680 --> 01:37:44,559 Speaker 1: to their jobs. People want purpose, they want things to do. 1828 01:37:45,560 --> 01:37:48,200 Speaker 1: It's intrinsic to our nature as human beings to want 1829 01:37:48,240 --> 01:37:52,400 Speaker 1: to have things to do. Darby, I'm a registered nurse 1830 01:37:52,439 --> 01:37:54,840 Speaker 1: in Dallas. I want to add my two cents. While 1831 01:37:54,880 --> 01:37:57,280 Speaker 1: I agree that many more ventilators are needed, no one 1832 01:37:57,320 --> 01:37:59,800 Speaker 1: that I've heard has addressed who exactly is going to 1833 01:38:00,000 --> 01:38:04,240 Speaker 1: operate these ventilators. They are extremely complicated and can potentially 1834 01:38:04,400 --> 01:38:07,400 Speaker 1: kill a patient. Some doctors and nurses can operate to 1835 01:38:07,439 --> 01:38:09,559 Speaker 1: a certain degree, but it's certainly not all. We don't 1836 01:38:09,600 --> 01:38:13,120 Speaker 1: have anywhere near enough respiratory therapists in my opinion. Keep 1837 01:38:13,120 --> 01:38:15,640 Speaker 1: your shield up, brother, Darby, you're the expert, man. I'm 1838 01:38:15,680 --> 01:38:18,280 Speaker 1: sure that's true. And look, you know, if you get 1839 01:38:18,280 --> 01:38:20,920 Speaker 1: an air bubble in somebody's IV, it can kill them. 1840 01:38:20,920 --> 01:38:23,439 Speaker 1: I'm sure a ventilator. If someone makes it messes up, 1841 01:38:23,880 --> 01:38:26,120 Speaker 1: it's controlling your breathing, right, I'm sure that that can 1842 01:38:26,160 --> 01:38:29,639 Speaker 1: go bad very fast. So you know, I wouldn't want 1843 01:38:29,640 --> 01:38:31,559 Speaker 1: someone to pull me in. I've got no medical expertise. 1844 01:38:31,560 --> 01:38:33,280 Speaker 1: I want want someone to pull me in and say, hey, 1845 01:38:33,560 --> 01:38:35,360 Speaker 1: you're going to run the ventilator now, right, That would 1846 01:38:35,400 --> 01:38:40,040 Speaker 1: be very bad news. So I don't know. I don't 1847 01:38:40,040 --> 01:38:41,559 Speaker 1: know what the answer is. I mean, how quickly can 1848 01:38:41,600 --> 01:38:44,160 Speaker 1: we train I don't know how quickly we can even 1849 01:38:44,200 --> 01:38:48,040 Speaker 1: train ventilator operators, technicians, whatever you call them, if we 1850 01:38:48,439 --> 01:38:52,439 Speaker 1: want to. Toby, Hey, Buck, glad you're working through the shutdown. 1851 01:38:52,479 --> 01:38:55,080 Speaker 1: I drive a truck delivering food and dry goods to 1852 01:38:55,120 --> 01:38:58,120 Speaker 1: Walmart stores. Well, Toby, every person listens right now saying 1853 01:38:58,240 --> 01:39:01,439 Speaker 1: high five, thank you, Obe, thank you for what you're doing. 1854 01:39:01,680 --> 01:39:05,640 Speaker 1: Thanks for keeping this the shelves stocked for all of 1855 01:39:05,720 --> 01:39:07,920 Speaker 1: us and being out there on the roads. You are 1856 01:39:08,120 --> 01:39:11,519 Speaker 1: carrying a burden for your fellow Americans on your shoulders 1857 01:39:11,560 --> 01:39:14,200 Speaker 1: every day. You're doing this right now, and we appreciate it. 1858 01:39:14,560 --> 01:39:16,720 Speaker 1: You know you are. You are being a hero for 1859 01:39:16,880 --> 01:39:20,240 Speaker 1: your people by doing your job. It's true of everybody. 1860 01:39:20,240 --> 01:39:23,320 Speaker 1: Everybody driving a truck. Everybody in delivery and logistics across 1861 01:39:23,320 --> 01:39:27,320 Speaker 1: the country. Right now, John Well, I finally have time 1862 01:39:27,320 --> 01:39:29,840 Speaker 1: to watch your show a completely different experience. I'm an 1863 01:39:29,880 --> 01:39:32,360 Speaker 1: avid podcast listener. I hope your isolation is going well. 1864 01:39:32,400 --> 01:39:34,400 Speaker 1: Shield's high. Well, now is where I goul to tell 1865 01:39:34,439 --> 01:39:36,200 Speaker 1: you guys, if you haven't already, if you're listening on 1866 01:39:36,280 --> 01:39:38,840 Speaker 1: podcast and you or you're listening on one of our 1867 01:39:38,880 --> 01:39:42,400 Speaker 1: one hundred and sixty oh yeah, affiliate stations across the country, 1868 01:39:43,400 --> 01:39:46,719 Speaker 1: you can watch the show and listen to it as well. 1869 01:39:46,960 --> 01:39:49,120 Speaker 1: And it's great to flip open on your laptop or 1870 01:39:49,160 --> 01:39:51,960 Speaker 1: your you know, pop it up on your smartphone while 1871 01:39:52,040 --> 01:39:54,800 Speaker 1: you're you know, doing some work at home or while 1872 01:39:54,840 --> 01:39:57,040 Speaker 1: you're you know, it's great to have in the background 1873 01:39:57,080 --> 01:39:59,800 Speaker 1: if you're cooking or cleaning up or just you know, 1874 01:40:00,000 --> 01:40:02,799 Speaker 1: watching the kids or whatever. You can download the Pluto 1875 01:40:02,840 --> 01:40:04,800 Speaker 1: TV app. It is totally free and there's a lot 1876 01:40:04,840 --> 01:40:07,720 Speaker 1: of stuff download that app regardless, there's a lot of 1877 01:40:07,720 --> 01:40:10,320 Speaker 1: stuff on Pluto TV. It's totally free. They've got great channels. 1878 01:40:10,320 --> 01:40:12,559 Speaker 1: They've got like a home improvement kind of channel that's 1879 01:40:12,560 --> 01:40:15,240 Speaker 1: got all the you know, how to fix fawcets and 1880 01:40:15,280 --> 01:40:18,000 Speaker 1: things They've got a lot lots of really good content. 1881 01:40:18,240 --> 01:40:19,600 Speaker 1: I think that I don't know how many hundreds of 1882 01:40:19,680 --> 01:40:21,800 Speaker 1: channels they have totally free, and it looks just like 1883 01:40:21,800 --> 01:40:23,840 Speaker 1: a cable interface. You just click on the channel you 1884 01:40:23,840 --> 01:40:25,920 Speaker 1: want to watch. It couldn't be any easier. But channel 1885 01:40:25,920 --> 01:40:29,240 Speaker 1: two forty eight, the first is the best channel, obviously, 1886 01:40:29,240 --> 01:40:31,160 Speaker 1: it's the one that I'm on, my friend Jesse Kelly, 1887 01:40:31,640 --> 01:40:35,320 Speaker 1: Dana lash is on, Mike Slater is on. I mean, 1888 01:40:35,360 --> 01:40:40,160 Speaker 1: we've got really excellent conservative opinion talent all streaming on 1889 01:40:40,160 --> 01:40:42,640 Speaker 1: this channel and you can watch it for free, So 1890 01:40:42,720 --> 01:40:45,559 Speaker 1: please do. If you haven't checked the check the checked 1891 01:40:45,680 --> 01:40:49,599 Speaker 1: us out before. Pluto TV Channel two forty eight the first. 1892 01:40:49,800 --> 01:40:52,080 Speaker 1: The first is the name of the channel. Pluto TV 1893 01:40:52,360 --> 01:40:57,240 Speaker 1: is the name of the app you're in, the Freedom Hud. 1894 01:40:57,680 --> 01:41:04,160 Speaker 1: This is the Buck Sexton Show podcast. Hey Buck, I 1895 01:41:04,200 --> 01:41:05,960 Speaker 1: couldn't agree with you more about getting back to work. 1896 01:41:06,000 --> 01:41:09,240 Speaker 1: My godfather turned seventy in July. A month ago. He 1897 01:41:09,320 --> 01:41:11,880 Speaker 1: had to retire on a Friday and turned seventy on 1898 01:41:11,880 --> 01:41:14,160 Speaker 1: a Monday. Now he's putting his retirement on a hold, 1899 01:41:14,160 --> 01:41:15,800 Speaker 1: at least till the end of the year. His whole life, 1900 01:41:15,800 --> 01:41:17,439 Speaker 1: he's done it right. He worked hard and climbed the 1901 01:41:17,439 --> 01:41:20,320 Speaker 1: corporate ladder while raising five kids, two of them adopted. 1902 01:41:20,479 --> 01:41:22,160 Speaker 1: He put away savings and started at four oh one 1903 01:41:22,240 --> 01:41:24,719 Speaker 1: k for retirement. Now it's unclear when he can retire. 1904 01:41:25,000 --> 01:41:26,559 Speaker 1: There's two sides to every coin, and this is the 1905 01:41:26,560 --> 01:41:29,000 Speaker 1: other side. Thanks Buck, Shields High, Yeah, man, I mean, 1906 01:41:29,160 --> 01:41:32,479 Speaker 1: you know, people think that retirement accounts four oh one 1907 01:41:32,560 --> 01:41:35,280 Speaker 1: ks are for fat cats and no this for people 1908 01:41:35,360 --> 01:41:38,759 Speaker 1: to retire. Very few people have what order are considered 1909 01:41:38,800 --> 01:41:41,400 Speaker 1: to find benefit plans also known as pensions. Very few 1910 01:41:41,439 --> 01:41:44,519 Speaker 1: people overall have that. More people have four oh one ks. 1911 01:41:44,560 --> 01:41:48,280 Speaker 1: I think my numbers on this are correct. So yeah, 1912 01:41:48,320 --> 01:41:51,960 Speaker 1: it affects everybody when the market gets absolutely clavered. It's 1913 01:41:52,000 --> 01:41:54,280 Speaker 1: a very real concern. But I hear you, man. I 1914 01:41:54,360 --> 01:41:56,320 Speaker 1: hope we get back to work soon. David Buck, I 1915 01:41:56,360 --> 01:41:58,000 Speaker 1: heard you mentioned the team buck community would be a 1916 01:41:58,000 --> 01:42:00,760 Speaker 1: great resource. I agree. How do I reach out to 1917 01:42:00,800 --> 01:42:04,160 Speaker 1: members Facebook. I'm starting a business when this blows over, 1918 01:42:04,200 --> 01:42:06,320 Speaker 1: and I'm looking for a business partner to run sales, 1919 01:42:06,360 --> 01:42:10,240 Speaker 1: please let me know, Shields High, Well, David, you know 1920 01:42:10,280 --> 01:42:12,559 Speaker 1: there's a few there's a few ways that you can 1921 01:42:12,640 --> 01:42:15,000 Speaker 1: do this. There's a few things that would let you 1922 01:42:15,120 --> 01:42:17,880 Speaker 1: contact other folks in the community. I mean one, I mean, 1923 01:42:17,880 --> 01:42:21,360 Speaker 1: Facebook is certainly a very good, very good resource. I 1924 01:42:21,400 --> 01:42:25,000 Speaker 1: would say, you know, look at our Facebook page and 1925 01:42:25,040 --> 01:42:27,479 Speaker 1: if you post in the kind you know I put 1926 01:42:27,479 --> 01:42:29,479 Speaker 1: posts up there, or you know, Mark will put posts 1927 01:42:29,520 --> 01:42:32,320 Speaker 1: up from the show, and you can just in the 1928 01:42:32,360 --> 01:42:34,080 Speaker 1: comments be like, hey, guys, you know I'm in the 1929 01:42:34,680 --> 01:42:37,960 Speaker 1: I'm in the such and such area. Can you know 1930 01:42:38,160 --> 01:42:40,400 Speaker 1: who else is around me here? Who has any ideas? 1931 01:42:40,640 --> 01:42:42,360 Speaker 1: And it's just a way to get the conversation going. 1932 01:42:42,400 --> 01:42:45,880 Speaker 1: People will see it, they'll respond that's certainly one means 1933 01:42:46,080 --> 01:42:50,000 Speaker 1: of accomplishing that. We you know, we've thought about setting 1934 01:42:50,040 --> 01:42:52,960 Speaker 1: up some kind of more official fan page. The problem 1935 01:42:53,000 --> 01:42:55,599 Speaker 1: is we just don't really have the staff right now 1936 01:42:55,640 --> 01:42:57,720 Speaker 1: to to keep that going and to moderate it. And 1937 01:42:57,720 --> 01:43:00,719 Speaker 1: then people, you know, someone says something mean someone else, 1938 01:43:00,760 --> 01:43:02,920 Speaker 1: and now do we have to intervene in others? So 1939 01:43:03,040 --> 01:43:06,479 Speaker 1: just I'd say, comment on one of our posts and say, hey, guys, 1940 01:43:06,479 --> 01:43:10,320 Speaker 1: here's my situation, and you know we have we have 1941 01:43:10,600 --> 01:43:12,439 Speaker 1: you know, or reach with some of these posts of 1942 01:43:13,400 --> 01:43:17,519 Speaker 1: hundreds of thousands of people that are going to see 1943 01:43:17,560 --> 01:43:20,000 Speaker 1: some of the posts that we do. So you know, 1944 01:43:20,160 --> 01:43:21,840 Speaker 1: hopefully some of them will be right in your area, 1945 01:43:21,880 --> 01:43:23,360 Speaker 1: and then that's just a it's a good way to 1946 01:43:23,400 --> 01:43:26,880 Speaker 1: do it. Um, you know, that's that's one way. And 1947 01:43:26,920 --> 01:43:29,479 Speaker 1: look if somebody has a particular idea or if you know, 1948 01:43:29,520 --> 01:43:31,160 Speaker 1: if some folks want to get together and they want 1949 01:43:31,200 --> 01:43:33,000 Speaker 1: me to give a shout out for an area where 1950 01:43:33,040 --> 01:43:36,160 Speaker 1: we have one of our one of our affiliate stations 1951 01:43:36,200 --> 01:43:39,000 Speaker 1: and people want to get together, and you know, I 1952 01:43:39,000 --> 01:43:43,479 Speaker 1: don't know the Austin and Austin area, Denver, Seattle or 1953 01:43:43,520 --> 01:43:45,519 Speaker 1: Portland or something and something there wants to be some 1954 01:43:45,600 --> 01:43:47,360 Speaker 1: kind of a team Buck meet up. I can't be there, 1955 01:43:47,439 --> 01:43:49,600 Speaker 1: I can't travel, but I can at least get the 1956 01:43:49,600 --> 01:43:51,240 Speaker 1: word out for a bunch of you if you want 1957 01:43:51,280 --> 01:43:53,160 Speaker 1: to gather together and try to even if you gather 1958 01:43:53,200 --> 01:43:55,760 Speaker 1: together virtually, right, that's what that's what we would do now, 1959 01:43:55,880 --> 01:43:58,320 Speaker 1: social distancing, but you could try to come up with 1960 01:43:58,360 --> 01:44:03,400 Speaker 1: ways to restart businesses and get on again. So yeah, 1961 01:44:03,479 --> 01:44:05,240 Speaker 1: that's that's where we're at right now. I'd say that's 1962 01:44:05,280 --> 01:44:06,719 Speaker 1: the best way to do it. But as I said, 1963 01:44:06,760 --> 01:44:10,080 Speaker 1: people have gotten people have gotten jobs from people they've 1964 01:44:10,120 --> 01:44:13,800 Speaker 1: met on this show. Employers, people have gotten married from 1965 01:44:13,840 --> 01:44:16,360 Speaker 1: being in the audience of this show, certainly met lots 1966 01:44:16,400 --> 01:44:18,080 Speaker 1: of people that have gone out on dates with I mean, 1967 01:44:18,080 --> 01:44:23,840 Speaker 1: there's it's a community it is, so it's nice, Jerry book, 1968 01:44:23,920 --> 01:44:26,000 Speaker 1: you gotta get a PS four and if your TV 1969 01:44:26,080 --> 01:44:29,600 Speaker 1: has HDR High Dynamic Range built into it, get the 1970 01:44:29,640 --> 01:44:33,240 Speaker 1: PS four pro. The picture will look amazing. The games 1971 01:44:33,240 --> 01:44:35,679 Speaker 1: you gotta get are God of War and hell Blade. 1972 01:44:36,120 --> 01:44:39,479 Speaker 1: Both are Viking era style games, but with hell Blade 1973 01:44:39,520 --> 01:44:42,519 Speaker 1: play with headphones the sounds are crazy. And of course 1974 01:44:42,560 --> 01:44:45,360 Speaker 1: get the new Call of Duty game Shield's Eye. Well, Jerry, 1975 01:44:45,600 --> 01:44:46,920 Speaker 1: I hope if I do get a PS four, I 1976 01:44:46,960 --> 01:44:49,280 Speaker 1: see you out there in the multiplayer mode and I 1977 01:44:49,320 --> 01:44:52,880 Speaker 1: can school you son, show you how it's done. We'll see. 1978 01:44:52,920 --> 01:44:56,080 Speaker 1: But that's I'm trying to get through more books, trying 1979 01:44:56,080 --> 01:44:58,040 Speaker 1: to get to a multi podcast that you people have 1980 01:44:58,080 --> 01:45:02,639 Speaker 1: been asking for for a while. We'll see if we'll 1981 01:45:02,680 --> 01:45:05,200 Speaker 1: see if the new Mystery Lady allows me to do 1982 01:45:05,280 --> 01:45:07,840 Speaker 1: some reading and research over the weekend and get this done. 1983 01:45:08,280 --> 01:45:11,240 Speaker 1: But yeah, I think I think we'll get that podcast 1984 01:45:11,280 --> 01:45:12,960 Speaker 1: done to the next week or two, so that'll be great. 1985 01:45:13,520 --> 01:45:15,840 Speaker 1: Greg writes in Buck this is my first time writing. 1986 01:45:16,080 --> 01:45:19,080 Speaker 1: I'm a medical laboratory scientist in Charleston, South Carolina. I 1987 01:45:19,400 --> 01:45:21,920 Speaker 1: keep talking to places I love. I love charl I'd 1988 01:45:21,920 --> 01:45:24,240 Speaker 1: move to Charleston tomorrow and be happy. Charleston's a great, 1989 01:45:24,280 --> 01:45:26,720 Speaker 1: great town. I'll listen to your podcast every morning. It 1990 01:45:26,760 --> 01:45:29,799 Speaker 1: gets me through the early hours. I appreciate your thoughtful, articulate, 1991 01:45:29,800 --> 01:45:32,600 Speaker 1: and sometimes comical view on current events, your breath of 1992 01:45:32,640 --> 01:45:34,720 Speaker 1: fresh air here on the front line. Shield Hie to 1993 01:45:34,720 --> 01:45:37,479 Speaker 1: you improve your mark, keep fighting a good fight. Well, Greg, 1994 01:45:37,520 --> 01:45:40,639 Speaker 1: thank you, thank you so much, and you know your 1995 01:45:40,720 --> 01:45:44,559 Speaker 1: your expertise right now is more valued than at any 1996 01:45:44,560 --> 01:45:46,720 Speaker 1: point in my lifetime. So you know, God bless and 1997 01:45:46,800 --> 01:45:50,080 Speaker 1: keep doing what you're doing. And I hope you're able to, 1998 01:45:50,560 --> 01:45:52,839 Speaker 1: you know, enjoy some of the great food scenes still 1999 01:45:52,920 --> 01:45:57,160 Speaker 1: in Charleston. So there you go. Saul writes in buck 2000 01:45:57,200 --> 01:45:59,880 Speaker 1: Am seven sixty in San Diego added your show last week, 2001 01:46:00,000 --> 01:46:02,080 Speaker 1: and after the first day, I told my wife that 2002 01:46:02,120 --> 01:46:04,240 Speaker 1: I had a new favorite radio host that is incredibly 2003 01:46:04,240 --> 01:46:06,439 Speaker 1: smart and eloquent. The next day I told her you 2004 01:46:06,520 --> 01:46:08,920 Speaker 1: went to Regis and she smiled and said, now it 2005 01:46:09,040 --> 01:46:12,160 Speaker 1: makes sense, because she said, she has met most of 2006 01:46:12,200 --> 01:46:14,720 Speaker 1: my lifelong friends in the class of seventy eight and 2007 01:46:14,760 --> 01:46:17,280 Speaker 1: they're all top quality people. I'm going to be a 2008 01:46:17,360 --> 01:46:19,759 Speaker 1: kid in the candy store with your podcast playing catchup. 2009 01:46:20,160 --> 01:46:22,439 Speaker 1: Thank you for serving our country both then and now. 2010 01:46:22,600 --> 01:46:26,679 Speaker 1: Dao at Patria Shields High which means God and Country 2011 01:46:26,680 --> 01:46:30,400 Speaker 1: Shields High. That's that's that's the motto of Regis High School, 2012 01:46:30,400 --> 01:46:32,240 Speaker 1: our high school. Saul, first of all, thank you so much. 2013 01:46:32,400 --> 01:46:34,799 Speaker 1: It's great to be on AM seven sixty in San Diego. 2014 01:46:34,880 --> 01:46:37,160 Speaker 1: I'm so proud. That's a that's a wonderful station for 2015 01:46:37,240 --> 01:46:39,519 Speaker 1: us to be on. Mike Slater before me, he's a 2016 01:46:39,600 --> 01:46:42,840 Speaker 1: great dude. I have nothing but the most professional and 2017 01:46:42,960 --> 01:46:46,240 Speaker 1: personal respect for Mike. He's a really solid, really smart guy, 2018 01:46:46,680 --> 01:46:48,880 Speaker 1: and I'm honored to be following him. And I love 2019 01:46:48,960 --> 01:46:52,200 Speaker 1: San Diego and that whole community. So that's a great 2020 01:46:52,240 --> 01:46:54,880 Speaker 1: station for us and we're so happy about that. Everybody, 2021 01:46:54,880 --> 01:46:57,400 Speaker 1: take care of yourselves this weekend, alright, make sure you rest, 2022 01:46:57,720 --> 01:47:00,719 Speaker 1: make sure you get the necessary you know, mental space 2023 01:47:00,800 --> 01:47:03,120 Speaker 1: for this coming week to take care of yourself. We'll 2024 01:47:03,160 --> 01:47:05,640 Speaker 1: be back on Monday. Shields High