1 00:00:00,280 --> 00:00:03,680 Speaker 1: We have some shocking news about the origins of the coronavirus, 2 00:00:03,720 --> 00:00:07,920 Speaker 1: all while twenty two million Americans are thrown out of work. 3 00:00:08,160 --> 00:00:17,640 Speaker 1: This is Verdict with Ted Cruz. Welcome back to Verdict 4 00:00:17,640 --> 00:00:21,000 Speaker 1: with Ted Cruz. I'm Michael Knowles, Senator. Just in our 5 00:00:21,040 --> 00:00:23,639 Speaker 1: prep call, I feel like there's so much information that 6 00:00:23,720 --> 00:00:25,480 Speaker 1: there is no way we're going to be able to 7 00:00:25,520 --> 00:00:29,240 Speaker 1: get to everything. The topic on everybody's mind is restarting 8 00:00:29,320 --> 00:00:33,199 Speaker 1: the economy from Michigan to North Carolina, all around the country. 9 00:00:33,280 --> 00:00:35,600 Speaker 1: The presidents talked about it. Even the liberal governors have 10 00:00:35,680 --> 00:00:38,040 Speaker 1: talked about it. I know that you are on the 11 00:00:38,280 --> 00:00:40,720 Speaker 1: Restart the Economy task Force. I know you spoke to 12 00:00:40,720 --> 00:00:43,640 Speaker 1: the President yesterday. What did you talk about and what 13 00:00:43,800 --> 00:00:47,479 Speaker 1: is the plan. Look, we got to get Americans back 14 00:00:47,479 --> 00:00:50,960 Speaker 1: to work. Americans are ready to go back to work. 15 00:00:51,000 --> 00:00:53,760 Speaker 1: Texans are ready to get back to work. Yesterday I 16 00:00:53,800 --> 00:00:55,920 Speaker 1: spent over an hour on the phone with the President 17 00:00:56,000 --> 00:01:00,120 Speaker 1: as part of the Restarting the Economy task Force. Talk 18 00:01:00,160 --> 00:01:02,280 Speaker 1: about two things really that I emphasized to the President. 19 00:01:02,400 --> 00:01:04,720 Speaker 1: Number One, testing, we need to continue to lean in 20 00:01:04,760 --> 00:01:08,800 Speaker 1: and do even more on testing. The Abbot Labs quick test. 21 00:01:08,920 --> 00:01:10,760 Speaker 1: You know when I went up to meet with the 22 00:01:10,760 --> 00:01:14,000 Speaker 1: President a couple of weeks ago, and the energy CEOs 23 00:01:14,120 --> 00:01:17,360 Speaker 1: on energy they required actually that was the first day 24 00:01:17,440 --> 00:01:20,319 Speaker 1: they required everyone going in to meet with the President 25 00:01:20,400 --> 00:01:24,360 Speaker 1: had to be tested for coronavirus. And I got that 26 00:01:24,480 --> 00:01:30,559 Speaker 1: they had just gotten one of those Abbot quick tests situations, 27 00:01:30,600 --> 00:01:32,760 Speaker 1: you know, And it's interesting that the I know a 28 00:01:32,840 --> 00:01:34,800 Speaker 1: number of people who had been tested on the old tests, 29 00:01:34,800 --> 00:01:36,560 Speaker 1: and the old tests they'd stick it up your nose 30 00:01:36,560 --> 00:01:39,160 Speaker 1: and like, way way way up your nose, they said, 31 00:01:39,280 --> 00:01:40,800 Speaker 1: I mean it was like going to the back of 32 00:01:40,800 --> 00:01:46,160 Speaker 1: your brain. It really hurt and was unpleasant. No, thankfully, 33 00:01:46,160 --> 00:01:48,440 Speaker 1: with the Abbot thing, which is what they had just gotten, 34 00:01:48,760 --> 00:01:50,920 Speaker 1: just put a little swab in each nostril, ran it 35 00:01:50,960 --> 00:01:53,000 Speaker 1: through a machine, and ten minutes later to get a result, 36 00:01:53,040 --> 00:01:55,120 Speaker 1: so you don't have to wait four or five six days. 37 00:01:56,600 --> 00:01:59,400 Speaker 1: They're producing about fifty thousand of those a day. I've 38 00:01:59,440 --> 00:02:03,120 Speaker 1: spoken this week with Texas hospitals, Texas communities. We're starting 39 00:02:03,160 --> 00:02:05,320 Speaker 1: to get the Abbott lab quick labs. We need to 40 00:02:05,360 --> 00:02:07,560 Speaker 1: get even more and more of them, and we need 41 00:02:07,600 --> 00:02:11,080 Speaker 1: to get even more of the antibody test. One of 42 00:02:11,080 --> 00:02:14,040 Speaker 1: the things the Vice President said in the call yesterday 43 00:02:14,040 --> 00:02:16,640 Speaker 1: with a task force is by the end of the month, 44 00:02:16,639 --> 00:02:20,680 Speaker 1: they're expecting to be producing twenty million antibody tests a month, 45 00:02:20,840 --> 00:02:23,800 Speaker 1: so that'll start getting out in real numbers. And so 46 00:02:23,840 --> 00:02:26,440 Speaker 1: what I emphasized to the President was two things, lean 47 00:02:26,560 --> 00:02:29,720 Speaker 1: in even harder on testing, getting it out more widely available, 48 00:02:30,040 --> 00:02:33,880 Speaker 1: but also we have got to get people back to work. 49 00:02:33,960 --> 00:02:37,600 Speaker 1: It's got it very geographically. Obviously, New York City has 50 00:02:37,639 --> 00:02:40,760 Speaker 1: been hammered. It's been horrific, it's been heartbreaking. What's happened 51 00:02:40,760 --> 00:02:43,040 Speaker 1: in New York. No one in their right mind would 52 00:02:43,040 --> 00:02:45,720 Speaker 1: suggest New Yorkers should go back to work tomorrow, right. 53 00:02:46,160 --> 00:02:49,040 Speaker 1: But for much of the rest of the country, the 54 00:02:49,120 --> 00:02:51,960 Speaker 1: virus numbers are not nearly as bad. We have flattened 55 00:02:52,000 --> 00:02:54,959 Speaker 1: the curve, we've seen the numbers moving in the right direction, 56 00:02:55,080 --> 00:02:58,880 Speaker 1: and we need to segment the population. For those who 57 00:02:58,919 --> 00:03:03,480 Speaker 1: are really vulnerable, the very elderly, those with serious health issues, 58 00:03:03,520 --> 00:03:06,720 Speaker 1: they ought to remain quarantined, they ought to remain protected 59 00:03:06,760 --> 00:03:08,760 Speaker 1: because those are those are the communities that are really 60 00:03:08,840 --> 00:03:12,440 Speaker 1: vulnerable to this virus. But for everyone else, for young, 61 00:03:12,520 --> 00:03:15,280 Speaker 1: healthy people, we need to get back to work, using 62 00:03:15,320 --> 00:03:20,480 Speaker 1: ppe where appropriate, using masks, using gloves, practicing social distancing. 63 00:03:20,720 --> 00:03:24,440 Speaker 1: So for example, restaurants, they may need to reconfigure their 64 00:03:24,440 --> 00:03:26,960 Speaker 1: dining rooms to spread the tables out a bit so 65 00:03:27,000 --> 00:03:31,320 Speaker 1: that you can socially distance between tables. But we're imposing 66 00:03:31,639 --> 00:03:34,560 Speaker 1: massive harms on the economy. Twenty two million people out 67 00:03:34,560 --> 00:03:38,400 Speaker 1: of work, millions of small businesses on the verge of bankruptcy. 68 00:03:38,840 --> 00:03:42,040 Speaker 1: And Michael, this is something I emphasize to the President yesterday. 69 00:03:42,520 --> 00:03:45,080 Speaker 1: If we keep on this path, there is a real 70 00:03:45,240 --> 00:03:51,200 Speaker 1: public health consequence to killing the economy. We're gonna see 71 00:03:51,240 --> 00:03:54,120 Speaker 1: mental health issues. We're going to see depression, We're going 72 00:03:54,160 --> 00:03:56,440 Speaker 1: to see increased rates of suicide. We're going to see 73 00:03:56,440 --> 00:04:01,040 Speaker 1: increased rates of substance abuse and alcohol abuse, and lives 74 00:04:01,080 --> 00:04:03,800 Speaker 1: will be lost, and we got to protect lives. The 75 00:04:03,840 --> 00:04:07,520 Speaker 1: objectives should be protect as many lives as possible, and 76 00:04:07,640 --> 00:04:10,320 Speaker 1: on both sides of the ledgers, So be smart, follow 77 00:04:10,400 --> 00:04:14,560 Speaker 1: medical science and stop the pandemic, but also don't kill 78 00:04:14,640 --> 00:04:19,640 Speaker 1: the economy and destroy people's livelihoods and cause suffering and 79 00:04:19,839 --> 00:04:23,080 Speaker 1: death on the economics side either, well, we've already seen 80 00:04:23,160 --> 00:04:25,920 Speaker 1: some of the consequences of this. You know, for some reason, 81 00:04:26,279 --> 00:04:29,200 Speaker 1: one of the responses to coronavirus in various states was 82 00:04:29,240 --> 00:04:31,159 Speaker 1: to let criminals out of jail. I guess it was 83 00:04:31,200 --> 00:04:33,880 Speaker 1: so that the virus wouldn't spread in the jails. Guess 84 00:04:33,960 --> 00:04:37,200 Speaker 1: what happens That criminal gets released the very next day, 85 00:04:37,480 --> 00:04:39,720 Speaker 1: he committed murder and then he's re arrested. And we've 86 00:04:39,720 --> 00:04:42,320 Speaker 1: seen stories like this around the country. It's very hard 87 00:04:42,360 --> 00:04:45,000 Speaker 1: to quantify that. You know, we can quantify the deaths 88 00:04:45,040 --> 00:04:47,320 Speaker 1: from coronavirus. Is there any way we're gonna be able 89 00:04:47,360 --> 00:04:50,800 Speaker 1: to measure the fallout and end even up to the 90 00:04:50,839 --> 00:04:56,120 Speaker 1: deaths caused by an overreaction, Well, we certainly need to 91 00:04:56,160 --> 00:04:58,119 Speaker 1: go back and assess that. And you're right, we're seeing 92 00:04:58,120 --> 00:05:00,680 Speaker 1: that all over the country in Travis coun Annie, Austin, 93 00:05:01,240 --> 00:05:05,400 Speaker 1: uh In, Texas, that they're releasing violent criminals, people charged 94 00:05:05,440 --> 00:05:09,400 Speaker 1: with with with violent crimes, with assault, with with sex trafficking, 95 00:05:09,440 --> 00:05:12,240 Speaker 1: and they're releasing them. That that's really dangerous. When you 96 00:05:12,279 --> 00:05:15,840 Speaker 1: release violent criminals, you're gonna get more violent crime. That's 97 00:05:15,880 --> 00:05:20,000 Speaker 1: the wrong response. And you know, there's a weird backwards 98 00:05:20,040 --> 00:05:23,360 Speaker 1: approach that violent criminals are being released from jail, but 99 00:05:23,400 --> 00:05:26,599 Speaker 1: at the same time that they're arresting people for driving 100 00:05:26,640 --> 00:05:29,240 Speaker 1: in their car, that that they tried to arrest a 101 00:05:29,279 --> 00:05:32,560 Speaker 1: guy in Colorado for playing catch with a six year 102 00:05:32,560 --> 00:05:36,120 Speaker 1: old daughter playing softball. Look, Catherine, my nine year old, 103 00:05:36,120 --> 00:05:38,880 Speaker 1: as a softball player, as a as a softball dad, 104 00:05:39,240 --> 00:05:42,440 Speaker 1: I'm offended that you'd go after a dad for simply 105 00:05:42,520 --> 00:05:45,760 Speaker 1: paying playing catch with his daughter. He wasn't endangering anyone, 106 00:05:45,760 --> 00:05:50,320 Speaker 1: he wasn't near anyone. That's just stupid. And and you know, 107 00:05:51,800 --> 00:05:56,080 Speaker 1: crises bring out people's character. And I got to say, 108 00:05:56,120 --> 00:06:00,440 Speaker 1: there are some authoritarians, almost all its seems, on the 109 00:06:00,520 --> 00:06:03,520 Speaker 1: democratic side of the ledger, that are just abusing power. 110 00:06:04,640 --> 00:06:09,320 Speaker 1: You know, Tennessee and Mississippi both places you saw people 111 00:06:09,400 --> 00:06:12,920 Speaker 1: being ticketed for going to church even though they stayed 112 00:06:12,920 --> 00:06:15,720 Speaker 1: in their cars and they were parked there listening to 113 00:06:15,720 --> 00:06:18,200 Speaker 1: the sermon on the radio. Look in your car, You're 114 00:06:18,200 --> 00:06:21,520 Speaker 1: not endangering anyone. That's just stupid. And to all of 115 00:06:21,560 --> 00:06:24,760 Speaker 1: these little petty tyrants, stop it. The governor of New 116 00:06:24,839 --> 00:06:28,479 Speaker 1: Jersey was was doing an interview. He was asked, well, well, 117 00:06:28,640 --> 00:06:31,280 Speaker 1: does your order comply with a Bill of Rights and 118 00:06:31,520 --> 00:06:33,840 Speaker 1: the Constitution. He said, well, that's above my pay grade, 119 00:06:34,600 --> 00:06:38,440 Speaker 1: that is your job. No, it's actually not. And in fact, 120 00:06:38,800 --> 00:06:41,680 Speaker 1: I couldn't help but jump on Twitter and tweet out 121 00:06:41,720 --> 00:06:46,479 Speaker 1: the actual goat oath that every governor of New Jersey takes, 122 00:06:46,480 --> 00:06:49,359 Speaker 1: and he takes an oath to support and defend the 123 00:06:49,400 --> 00:06:53,239 Speaker 1: Constitution of the United States. And we need to focus 124 00:06:53,240 --> 00:06:57,919 Speaker 1: on defending people's liberties, letting them go go back to 125 00:06:57,960 --> 00:06:59,880 Speaker 1: work and earn a living and provide for their family. 126 00:07:00,080 --> 00:07:02,400 Speaker 1: We can do all of that while being smart and 127 00:07:02,480 --> 00:07:05,359 Speaker 1: mitigating the spread of this virus. Of course. And I've 128 00:07:05,400 --> 00:07:08,920 Speaker 1: noticed this not even just from conservatives, not even just 129 00:07:08,920 --> 00:07:11,000 Speaker 1: from people in certain cities, but all around the country, 130 00:07:11,040 --> 00:07:14,400 Speaker 1: even liberal governors. It seems like over the past few days, 131 00:07:14,640 --> 00:07:17,720 Speaker 1: we've reached a turning point. We're now at the pivotal 132 00:07:17,720 --> 00:07:21,040 Speaker 1: moment where all of the energy is not just on shutdown, shutdown, 133 00:07:21,080 --> 00:07:23,080 Speaker 1: stay in place. But now it seems that there's a 134 00:07:23,120 --> 00:07:26,520 Speaker 1: growing consensus that we have got to restart things, even 135 00:07:26,560 --> 00:07:29,080 Speaker 1: as certain experts are telling us we can't leave our 136 00:07:29,080 --> 00:07:32,000 Speaker 1: homes for two years. Do you think that moment has happened. 137 00:07:32,120 --> 00:07:33,880 Speaker 1: We're now on the other side of this. We're at 138 00:07:33,920 --> 00:07:37,480 Speaker 1: this turning point. So I do now listen. I think 139 00:07:37,520 --> 00:07:40,560 Speaker 1: it varies geographically. It needs to be based on the 140 00:07:40,560 --> 00:07:43,040 Speaker 1: medical science and where the virus is, and if you've 141 00:07:43,040 --> 00:07:45,280 Speaker 1: got an active outbreak that is spreading, you need to 142 00:07:45,280 --> 00:07:47,880 Speaker 1: be more aggressive in your efforts to contain it. But 143 00:07:48,000 --> 00:07:50,920 Speaker 1: where we are containing it, I'll give you another example. 144 00:07:50,960 --> 00:07:53,280 Speaker 1: We have a lot of places that have shut down 145 00:07:53,840 --> 00:07:59,080 Speaker 1: elective surgeries, at elective medical procedures. That's having a devastating 146 00:07:59,120 --> 00:08:02,480 Speaker 1: impact on hospital I've been talking to physicians hospital CEOs 147 00:08:02,840 --> 00:08:06,600 Speaker 1: who are seeing their revenue cut, you know, eighty percent, 148 00:08:07,080 --> 00:08:12,400 Speaker 1: and they're going broke, They're laying people off, and explain 149 00:08:12,520 --> 00:08:15,280 Speaker 1: to me the reasoning of we're going into a pandemic 150 00:08:15,320 --> 00:08:18,239 Speaker 1: where we desperately need our hospitals and doctors, so let's 151 00:08:18,360 --> 00:08:22,000 Speaker 1: slam them and stop them from performing the procedures that 152 00:08:22,080 --> 00:08:25,120 Speaker 1: generate all their revenue. And by the way, that too 153 00:08:25,160 --> 00:08:28,600 Speaker 1: will have a public health harm. Like even though something's elective, 154 00:08:28,640 --> 00:08:30,960 Speaker 1: there are a lot of elective medical procedures that are 155 00:08:31,000 --> 00:08:34,439 Speaker 1: nonetheless beneficial. And if we keep delaying them and delaying 156 00:08:34,440 --> 00:08:38,240 Speaker 1: them and delaying them, people don't go into the doctor 157 00:08:38,320 --> 00:08:40,840 Speaker 1: for other health issues, a hard issue, what have you. 158 00:08:41,240 --> 00:08:44,200 Speaker 1: We're going to have more and more deaths the more 159 00:08:44,320 --> 00:08:48,000 Speaker 1: we freeze and shut down our economy and we've got 160 00:08:48,000 --> 00:08:51,800 Speaker 1: away life. On both sides of the ledger, maximize the 161 00:08:51,840 --> 00:08:55,240 Speaker 1: protection of life. Yeah, on the medical science front, I 162 00:08:55,800 --> 00:08:58,800 Speaker 1: want to turn for a moment from the economy into 163 00:08:58,880 --> 00:09:01,680 Speaker 1: the virus itself, and I want to take just a 164 00:09:01,720 --> 00:09:05,319 Speaker 1: slight victory lab because I remember on this very show, Senator, 165 00:09:05,600 --> 00:09:10,240 Speaker 1: on March tenth, over a month ago, you suggested that 166 00:09:10,280 --> 00:09:13,439 Speaker 1: there was very likely a link between the Wuhuan Institute 167 00:09:13,440 --> 00:09:18,079 Speaker 1: of Virology and this virus that just so coincidentally happened 168 00:09:18,120 --> 00:09:21,440 Speaker 1: to occur within a couple miles of that institute. During 169 00:09:21,480 --> 00:09:23,960 Speaker 1: that time, the mainstream media said this was crazy, this 170 00:09:24,000 --> 00:09:26,360 Speaker 1: was a conspiracy theory, There was no evidence of it. 171 00:09:26,640 --> 00:09:30,400 Speaker 1: Now we are getting multiple reports all saying that the 172 00:09:30,520 --> 00:09:34,320 Speaker 1: virus came from the lab. My question here is not 173 00:09:34,720 --> 00:09:36,400 Speaker 1: My point is not just to take a victory lap. 174 00:09:36,600 --> 00:09:39,840 Speaker 1: My question is did the US government know that the 175 00:09:39,840 --> 00:09:44,200 Speaker 1: Wuhan Institute of Virology was conducting this sort of dangerous research? 176 00:09:44,480 --> 00:09:46,680 Speaker 1: And if we did know, why didn't we stop it? 177 00:09:48,679 --> 00:09:52,800 Speaker 1: Absolutely yes, the US government knew, and and in fact, 178 00:09:52,840 --> 00:09:55,439 Speaker 1: when when you and I brought this up on March tenth, 179 00:09:55,440 --> 00:09:57,520 Speaker 1: over the month ago, you're right, it was treated as 180 00:09:57,679 --> 00:10:04,079 Speaker 1: tinfoil hat biracy theory nut jobbery. Well, it turns out 181 00:10:04,120 --> 00:10:06,400 Speaker 1: there was wasn't just one. There were two labs within 182 00:10:06,480 --> 00:10:11,200 Speaker 1: miles aware this outbrook break occurred that were studying coronaviruses 183 00:10:11,400 --> 00:10:16,000 Speaker 1: from bats, and that there were Internal State Department wires 184 00:10:16,280 --> 00:10:21,120 Speaker 1: before this pandemic, raising concerns about the security in those 185 00:10:21,200 --> 00:10:25,120 Speaker 1: labs and that an accidental a virus could escape and 186 00:10:25,280 --> 00:10:28,160 Speaker 1: cause a global pandemic. But I'll tell you it's worse 187 00:10:28,160 --> 00:10:30,439 Speaker 1: than that. And let me give you some some breaking 188 00:10:30,480 --> 00:10:36,679 Speaker 1: news right now, which is the US government was funding 189 00:10:37,040 --> 00:10:40,719 Speaker 1: the Chinese research at the Wu Hunt Institute of Virology. 190 00:10:41,400 --> 00:10:44,719 Speaker 1: Your taxpayer dollars and my taxpayer dollars, and let me 191 00:10:44,760 --> 00:10:48,280 Speaker 1: give you specifics that we just got today today and 192 00:10:48,400 --> 00:10:51,360 Speaker 1: inquiring of the National Institutes of Health, did any of 193 00:10:51,400 --> 00:10:54,840 Speaker 1: your money go to the Wuhun Institute of Virology. The 194 00:10:54,920 --> 00:10:58,240 Speaker 1: answer is yes, and and here's here's what they told 195 00:10:58,320 --> 00:11:01,920 Speaker 1: us in writing today. They ad in fiscal year twenty nineteen, 196 00:11:02,000 --> 00:11:05,240 Speaker 1: the funding for the Wu Hunt Institute for Rology was 197 00:11:05,360 --> 00:11:08,559 Speaker 1: seventy six thousand dollars and the three hundred and one 198 00:11:08,600 --> 00:11:12,480 Speaker 1: dollars seventy six thousand, three hundred and one dollars. Now, 199 00:11:12,600 --> 00:11:15,080 Speaker 1: what did it go to? And I'm repeating what NIH 200 00:11:15,640 --> 00:11:18,600 Speaker 1: has told me in writing. It went to It was 201 00:11:18,720 --> 00:11:23,640 Speaker 1: part of an overall three point seven million dollar funding 202 00:11:23,720 --> 00:11:32,680 Speaker 1: program that went to six years in sights in China, Thailand, Cambonia, Laos, Laos, Vietnam, Malaysia, Indonesia, 203 00:11:32,760 --> 00:11:35,760 Speaker 1: and Men March. And here's what they were studying. These 204 00:11:35,760 --> 00:11:41,280 Speaker 1: are nah's words. The project included studying viral diversity in 205 00:11:41,520 --> 00:11:48,800 Speaker 1: animal parentheses, bats reservoirs, surveying people that live in high 206 00:11:48,880 --> 00:11:56,600 Speaker 1: risk communities for evidence of bat coronavirus infection, and conducting 207 00:11:56,720 --> 00:12:02,880 Speaker 1: laboratory experiments to analyze and predict which newly discovered viruses 208 00:12:03,360 --> 00:12:08,120 Speaker 1: pose the greatest threats to human health. That's what the 209 00:12:08,240 --> 00:12:11,439 Speaker 1: NIH funding was going to. And we followed up and said, okay, 210 00:12:11,920 --> 00:12:14,240 Speaker 1: that's what you described as the project in all of 211 00:12:14,240 --> 00:12:17,280 Speaker 1: these countries. How about at the wu Hunt Institute of Virology. 212 00:12:17,400 --> 00:12:21,440 Speaker 1: What specifically did US taxpayer dollars go to at the 213 00:12:21,480 --> 00:12:24,400 Speaker 1: wu Hunt Institute of Virology. Here's what the NIH said 214 00:12:24,920 --> 00:12:29,439 Speaker 1: in writing said said the project supported the following activities 215 00:12:29,880 --> 00:12:34,160 Speaker 1: at the wu Hunt Institute of Virology, coronavirus screening and 216 00:12:34,240 --> 00:12:43,840 Speaker 1: psyology of non human samples, viral pathogenesis, syriological testing, host 217 00:12:43,920 --> 00:12:51,839 Speaker 1: receptor binding spike s, protein sequencing, and in vitro and 218 00:12:52,040 --> 00:12:56,000 Speaker 1: in viva virus characterization, and it goes on to say 219 00:12:56,040 --> 00:13:00,640 Speaker 1: that they had not supported the creation of recombinant viruses 220 00:13:00,960 --> 00:13:03,360 Speaker 1: at the wu Hunt Institute of Virology. I just want 221 00:13:03,360 --> 00:13:05,520 Speaker 1: to make sure what your tax dollars and my tax 222 00:13:05,559 --> 00:13:07,319 Speaker 1: dollars went to. I want to make sure that I 223 00:13:07,360 --> 00:13:11,160 Speaker 1: have got this right, because obviously, if there were State 224 00:13:11,160 --> 00:13:13,960 Speaker 1: Department memos about this, a lot of people knew about 225 00:13:13,960 --> 00:13:16,559 Speaker 1: this from the very beginning of this pandemic. And what 226 00:13:16,960 --> 00:13:20,040 Speaker 1: you're saying right now, according to the NIH IS for 227 00:13:20,080 --> 00:13:22,800 Speaker 1: the past month and a half, two months even more, 228 00:13:23,000 --> 00:13:26,280 Speaker 1: we've been told the Wuhun Institute of Virology had nothing 229 00:13:26,320 --> 00:13:30,880 Speaker 1: to do with this coronavirus. It's just a coincidence. Get 230 00:13:30,880 --> 00:13:33,719 Speaker 1: your tinfoil hat off. No way that that happened. Not 231 00:13:33,920 --> 00:13:38,040 Speaker 1: only do we now hear serious reports that it came 232 00:13:38,120 --> 00:13:41,400 Speaker 1: from the lab, now we are learning whoopsie daisy, I 233 00:13:41,440 --> 00:13:45,880 Speaker 1: guess we forgot actually US taxpayer money was being used 234 00:13:46,040 --> 00:13:51,560 Speaker 1: to fund that very viral research at the laboratory. Well, 235 00:13:51,640 --> 00:13:55,200 Speaker 1: and let me make clear we don't have confirmed evidence 236 00:13:55,240 --> 00:13:57,040 Speaker 1: that it did come from the lab. We still don't 237 00:13:57,080 --> 00:13:59,520 Speaker 1: know that just reports. What we know is that US 238 00:13:59,600 --> 00:14:03,880 Speaker 1: tax dollars were going to the Chinese government to fund 239 00:14:03,920 --> 00:14:09,280 Speaker 1: this research on bat coronaviruses on how they could, how 240 00:14:09,360 --> 00:14:11,720 Speaker 1: they could be infectious to humans, how they could be 241 00:14:11,720 --> 00:14:14,360 Speaker 1: transmitted to humans, how they could be dangerous to humans, 242 00:14:14,600 --> 00:14:17,360 Speaker 1: at the same time that the State Department was raising 243 00:14:17,440 --> 00:14:21,640 Speaker 1: real concerns about the safety and security protocols at the 244 00:14:21,760 --> 00:14:27,600 Speaker 1: lab that we're partially funding, and and and that I 245 00:14:27,640 --> 00:14:30,840 Speaker 1: gotta say that is nuts. And given that they were 246 00:14:30,880 --> 00:14:35,120 Speaker 1: studying these bat coronaviruses, the Chinese government needs to answer 247 00:14:35,160 --> 00:14:39,760 Speaker 1: the question right now where they studying the novel coronavirus? 248 00:14:39,800 --> 00:14:42,600 Speaker 1: This virus, Yeah, the virus that has killed over one 249 00:14:42,680 --> 00:14:46,520 Speaker 1: hundred and forty thousand people worldwide. Was that a virus 250 00:14:46,560 --> 00:14:49,280 Speaker 1: that was studied at one or both of the Chinese 251 00:14:49,320 --> 00:14:52,640 Speaker 1: government labs in Wuhan. They won't answer that question. They 252 00:14:52,720 --> 00:14:56,000 Speaker 1: need to answer that question, and over one hundred thousand 253 00:14:56,040 --> 00:14:58,760 Speaker 1: lives have been lost while they refused to answer that question. 254 00:14:58,760 --> 00:15:00,640 Speaker 1: You know, I wish the media would ask them that question. 255 00:15:00,720 --> 00:15:02,440 Speaker 1: I think if the mainstream media would tune in and 256 00:15:02,480 --> 00:15:03,960 Speaker 1: watch our show. They might be able to get a 257 00:15:04,000 --> 00:15:06,400 Speaker 1: little ahead of the curve here on these news stories. 258 00:15:06,440 --> 00:15:09,560 Speaker 1: I can't expect, And honestly, you know, it is beneficial. 259 00:15:10,000 --> 00:15:12,160 Speaker 1: You and I have an advantage that the mainstream media 260 00:15:12,240 --> 00:15:15,280 Speaker 1: doesn't have, yeah, which is that our revenue stream doesn't 261 00:15:15,320 --> 00:15:19,080 Speaker 1: depend on access to the Chinese market. It helps that 262 00:15:19,120 --> 00:15:20,840 Speaker 1: we don't have a revenue stream, so that that makes 263 00:15:20,840 --> 00:15:28,280 Speaker 1: it even simpler. But everyone, ABC, CBS, NBC, CNN, they 264 00:15:28,320 --> 00:15:34,280 Speaker 1: make millions of dollars every single year from access to China. 265 00:15:34,480 --> 00:15:40,000 Speaker 1: They're terrified, they're terrified of ticking off the Chinese look. 266 00:15:40,080 --> 00:15:42,960 Speaker 1: They edit out you know, I was reading something recently. 267 00:15:43,080 --> 00:15:47,480 Speaker 1: Remember the movie Bohemian Rhapsody. Yeah, Yeah, wonderful, wonderful movie 268 00:15:47,480 --> 00:15:51,240 Speaker 1: about Freddie Mercury, lead singer of Queen, lead actor one 269 00:15:51,360 --> 00:15:54,520 Speaker 1: Best Actor Oscars. Fantastic movie. Do you know in China 270 00:15:54,600 --> 00:15:56,960 Speaker 1: when they aired that, they edited out the fact that 271 00:15:56,960 --> 00:16:00,360 Speaker 1: Freddie Mercury was gay. It's just that minor detail, Like, 272 00:16:00,480 --> 00:16:02,840 Speaker 1: how do you watch a movie about Freddie Mercury and 273 00:16:02,960 --> 00:16:04,760 Speaker 1: edit out that he's gay. I mean, it's kind of 274 00:16:05,160 --> 00:16:08,760 Speaker 1: a pretty central element of the guy's life. And the 275 00:16:08,840 --> 00:16:12,160 Speaker 1: Chinese censors demanded it be edited out, and you know what, 276 00:16:12,560 --> 00:16:17,200 Speaker 1: our free speech defending Hollywood said, okay, thank you, and 277 00:16:17,800 --> 00:16:21,800 Speaker 1: they just happily edited it out. And there was an 278 00:16:21,840 --> 00:16:25,560 Speaker 1: article this week that I tweeted out about Bloomberg Media 279 00:16:26,000 --> 00:16:30,960 Speaker 1: silencing a story about Chinese corruption. Why because they didn't 280 00:16:30,960 --> 00:16:33,680 Speaker 1: want to piss off the Chinese government. Our media needs 281 00:16:33,720 --> 00:16:38,600 Speaker 1: to stop being This week, CNN wrote a story You 282 00:16:38,640 --> 00:16:43,400 Speaker 1: actually can't make this up, Michael. They took the Chinese 283 00:16:43,480 --> 00:16:49,000 Speaker 1: Communist parties propaganda website. Yeah, that said, the Chinese military 284 00:16:49,120 --> 00:16:52,800 Speaker 1: is doing better than the American military in fighting coronavirus. 285 00:16:52,880 --> 00:16:57,200 Speaker 1: It's literally the propaganda website from the Communist Party. CNN 286 00:16:57,240 --> 00:17:01,560 Speaker 1: writes a story Chinese military doing much better than American military. 287 00:17:01,840 --> 00:17:05,120 Speaker 1: Thus saith Chinese propaganda. They don't even say propaganda, they 288 00:17:05,119 --> 00:17:10,719 Speaker 1: treat it as news. These guys are behaving like money 289 00:17:10,800 --> 00:17:15,240 Speaker 1: grubbing purveyors of lies. Yeah, and anyone in the media 290 00:17:15,280 --> 00:17:18,240 Speaker 1: who gives a damn about integrity, who gives a damn 291 00:17:18,280 --> 00:17:21,600 Speaker 1: about truth, ought to be investigating these labs and ought 292 00:17:21,640 --> 00:17:23,680 Speaker 1: to be speaking the truth. I'm sorry, I'm getting pissed off, 293 00:17:23,720 --> 00:17:27,600 Speaker 1: but but but it the media's complicity in this and 294 00:17:27,880 --> 00:17:31,520 Speaker 1: China's responsibility in this is mass. I think really CNN 295 00:17:31,560 --> 00:17:34,560 Speaker 1: should just give the Chinese Communist Party the log incredentials 296 00:17:34,560 --> 00:17:36,720 Speaker 1: to the website. They can just write their own stories. 297 00:17:36,840 --> 00:17:39,880 Speaker 1: You'll be able to cut out all of the middlemen. Obviously, 298 00:17:39,920 --> 00:17:42,640 Speaker 1: we can't expect honest. I actually think the Chinese would 299 00:17:42,680 --> 00:17:44,720 Speaker 1: make them a little more balanced. They feel they needed 300 00:17:44,760 --> 00:17:49,400 Speaker 1: some credibility. They wouldn't just shamelessly reproduce the Chinese website, 301 00:17:49,560 --> 00:17:52,520 Speaker 1: right right. You know at least sometimes that the Chinese 302 00:17:52,560 --> 00:17:56,280 Speaker 1: Communist Party is competent. You know, we can't expect honesty 303 00:17:56,280 --> 00:17:58,520 Speaker 1: out of them. Is the trouble. They've just revised up 304 00:17:58,560 --> 00:18:01,280 Speaker 1: their death numbers. We know that China was lying about 305 00:18:01,280 --> 00:18:04,000 Speaker 1: the death numbers from coronavirus. They've now gotten a little 306 00:18:04,040 --> 00:18:06,520 Speaker 1: bit more honest, but we obviously still don't have the 307 00:18:06,560 --> 00:18:10,280 Speaker 1: whole story. Unfortunately, we can expect that from the Chinese 308 00:18:10,320 --> 00:18:15,080 Speaker 1: Communist Party. Even worse, the World Health Organization, which we 309 00:18:15,119 --> 00:18:18,120 Speaker 1: should be able to trust, has been parroting that very 310 00:18:18,119 --> 00:18:21,159 Speaker 1: same propaganda. The President announced just this week that he 311 00:18:21,400 --> 00:18:24,560 Speaker 1: is going to defund the Who What do you make 312 00:18:24,560 --> 00:18:28,440 Speaker 1: of that decision? I think it makes an awful lot 313 00:18:28,480 --> 00:18:33,720 Speaker 1: of sense. The WHO sadly operated throughout this coronavirus epidemic 314 00:18:33,920 --> 00:18:37,639 Speaker 1: as really a parrot, a shill for the Chinese Communist Party. 315 00:18:37,640 --> 00:18:41,160 Speaker 1: In January that the WHO sent out a tweet saying 316 00:18:41,200 --> 00:18:44,200 Speaker 1: no evidence of human to human transmission and China is 317 00:18:44,240 --> 00:18:46,480 Speaker 1: doing a lip skip any good job. Let's see if 318 00:18:46,640 --> 00:18:47,760 Speaker 1: he may not have been in there, but it was 319 00:18:47,760 --> 00:18:54,760 Speaker 1: implied for the translation. Look, it's you remember Baghdad Bob. Yeah, 320 00:18:54,800 --> 00:18:56,960 Speaker 1: that's right. I don't know how many people do remember 321 00:18:57,000 --> 00:19:01,479 Speaker 1: soon so so Baghdad Bob. The press secretary for Saddam 322 00:19:01,600 --> 00:19:05,760 Speaker 1: Husaying or Sadam who's as forty one fabulously did as 323 00:19:05,800 --> 00:19:10,720 Speaker 1: psyops who just spread their proper like we repeat their propaganda. 324 00:19:10,760 --> 00:19:14,320 Speaker 1: We're winning right as they were losing. The WHO is 325 00:19:14,400 --> 00:19:17,720 Speaker 1: like that there's no human to human transmission. I gotta 326 00:19:17,720 --> 00:19:18,960 Speaker 1: tell you one of the things we're gonna do in 327 00:19:19,000 --> 00:19:21,960 Speaker 1: the next podcast. Yeah, we're gonna walk through a timeline 328 00:19:21,960 --> 00:19:24,359 Speaker 1: of what happened in China and Jim Garrity a National 329 00:19:24,359 --> 00:19:27,920 Speaker 1: Review did a fabulous timeline that we're going to spend 330 00:19:28,000 --> 00:19:30,560 Speaker 1: some time walking through carefully. By the way, National Review 331 00:19:31,000 --> 00:19:33,840 Speaker 1: not a wholly owned subsidiary of the Chinese Communist Party, 332 00:19:33,840 --> 00:19:36,960 Speaker 1: so they actually can cover news. Where's the New York Times, 333 00:19:36,960 --> 00:19:41,240 Speaker 1: Where's the Washington Post? Where are actual people who pride themselves, who, 334 00:19:41,320 --> 00:19:46,359 Speaker 1: by the way, give each other prizes for journalistic courage 335 00:19:47,000 --> 00:19:50,280 Speaker 1: because they stand up and scream orange man bad Oh, 336 00:19:50,320 --> 00:19:53,240 Speaker 1: you're so courageous. You're so courageous. You don't like Trump. 337 00:19:53,440 --> 00:19:56,160 Speaker 1: I don't like Trump. We all don't like Trump. Yeay, 338 00:19:56,320 --> 00:19:59,200 Speaker 1: how about show some real courage and stand up to 339 00:19:59,600 --> 00:20:03,679 Speaker 1: the line communists who have direct responsibilities for covering up 340 00:20:03,720 --> 00:20:08,280 Speaker 1: this pandemic and endangering the lives of millions across this planet. 341 00:20:08,320 --> 00:20:11,359 Speaker 1: That would be journalistic courage, even if it costs your 342 00:20:11,400 --> 00:20:14,600 Speaker 1: employers a few bucks and market access. You know, Senator, 343 00:20:14,600 --> 00:20:16,760 Speaker 1: I was sort of thinking that, now that you're outside 344 00:20:16,800 --> 00:20:18,960 Speaker 1: of Washington for a few weeks, you might be able 345 00:20:19,000 --> 00:20:21,960 Speaker 1: to take some downtime. But unfortunately, now you've got to 346 00:20:22,560 --> 00:20:25,679 Speaker 1: work to restart the economy. You've got to work to 347 00:20:25,720 --> 00:20:28,600 Speaker 1: get real information out of China, which is basically an 348 00:20:28,600 --> 00:20:31,880 Speaker 1: impossible task. There's so much to do. Have you had 349 00:20:31,920 --> 00:20:36,679 Speaker 1: any downtime whatsoever? You know, I'm having every day. I 350 00:20:36,760 --> 00:20:39,440 Speaker 1: have lunch and dinner with the girls. Two days ago 351 00:20:39,560 --> 00:20:43,919 Speaker 1: was Caroline's twelfth birthday, So April fourteenth, she turned twelve, 352 00:20:44,880 --> 00:20:47,160 Speaker 1: which is a bits a little traumatizing. I'm not sure 353 00:20:47,160 --> 00:20:49,520 Speaker 1: how she got to be twelve so quickly. But we 354 00:20:49,560 --> 00:20:51,159 Speaker 1: had planned a whole party. We're gonna go to a 355 00:20:51,240 --> 00:20:53,640 Speaker 1: roller rink, all the kids, we're gonna go skating. Well, 356 00:20:53,680 --> 00:20:55,480 Speaker 1: obviously you can't go to a roller rink right now, 357 00:20:55,520 --> 00:20:57,320 Speaker 1: So what do you do with a sixth grader where 358 00:20:57,320 --> 00:20:59,760 Speaker 1: you have a birthday party? And she's like, all right, dad, 359 00:20:59,800 --> 00:21:04,159 Speaker 1: this sucks. Um. So what we ended up doing is 360 00:21:04,680 --> 00:21:06,919 Speaker 1: we did this thing where we invited all the girls 361 00:21:06,920 --> 00:21:10,399 Speaker 1: who were coming to drive by the house and to 362 00:21:10,520 --> 00:21:13,280 Speaker 1: wave and like they hung signs out the car windows 363 00:21:13,280 --> 00:21:14,879 Speaker 1: that are with their parents and they would wave and 364 00:21:14,920 --> 00:21:17,720 Speaker 1: they yelled happy birthday. And we put up three poster 365 00:21:17,840 --> 00:21:21,000 Speaker 1: boards and the kids came and all wrote little sign 366 00:21:21,040 --> 00:21:22,600 Speaker 1: We put them on our driveway and the kids came 367 00:21:22,640 --> 00:21:25,159 Speaker 1: and wrote happy birthday, we love you Caroline. And it 368 00:21:25,200 --> 00:21:27,080 Speaker 1: was fun. Like Caroline stood at the front door and 369 00:21:27,119 --> 00:21:28,960 Speaker 1: waved it's like high and jumped up and down. So 370 00:21:29,440 --> 00:21:32,800 Speaker 1: I mean it was a nice thing to do to 371 00:21:32,920 --> 00:21:35,520 Speaker 1: have a birthday celebration. Look, it's in the age of 372 00:21:35,560 --> 00:21:40,400 Speaker 1: social distancing. But it but it but it was still 373 00:21:40,400 --> 00:21:42,159 Speaker 1: it was. It was a nice and fun birthday. I 374 00:21:42,160 --> 00:21:44,359 Speaker 1: hope the kids dropped off the presence too, you know. 375 00:21:44,400 --> 00:21:46,639 Speaker 1: I know the economy has taken a big hit, but 376 00:21:46,680 --> 00:21:49,920 Speaker 1: they better not have taken those presents away from your daughter. 377 00:21:51,520 --> 00:21:54,879 Speaker 1: That they did drop off the presence, including Heidie, and 378 00:21:54,880 --> 00:21:58,560 Speaker 1: I got Caroline an electric scooter, which which both girls 379 00:21:58,560 --> 00:22:01,800 Speaker 1: have been enjoying. By the way, I will confess, although 380 00:22:01,800 --> 00:22:04,240 Speaker 1: we're a capitalist household, we have a little bit of 381 00:22:04,240 --> 00:22:07,840 Speaker 1: socialist policies with the girls in that we told Caroline 382 00:22:07,880 --> 00:22:09,960 Speaker 1: she has to share the scooter with a younger sister, 383 00:22:10,000 --> 00:22:12,520 Speaker 1: which she thinks is an outrage because it was her 384 00:22:12,560 --> 00:22:16,080 Speaker 1: birthdache present. But both girls they ride like crazy on 385 00:22:16,080 --> 00:22:19,640 Speaker 1: that electric scooter and it's they're having fun with you. Well, 386 00:22:19,640 --> 00:22:21,399 Speaker 1: I fear that, you know, if we don't get this 387 00:22:21,440 --> 00:22:24,320 Speaker 1: economy restarted soon, we're all going to be socialists. Obviously, 388 00:22:24,320 --> 00:22:27,119 Speaker 1: the Democrats in the House are trying to push to extend, 389 00:22:27,520 --> 00:22:31,080 Speaker 1: you know, the relief coverage to now be two thousand 390 00:22:31,080 --> 00:22:34,520 Speaker 1: dollars every single month until we've got full you know 391 00:22:34,560 --> 00:22:37,840 Speaker 1: employment again. A lot of fears coming out of that. So, 392 00:22:38,040 --> 00:22:40,520 Speaker 1: how long do you think I want to get to mailbag, 393 00:22:40,920 --> 00:22:43,400 Speaker 1: but just briefly, how long do you think we have 394 00:22:44,080 --> 00:22:48,399 Speaker 1: before we will have to restart the economy again or 395 00:22:48,440 --> 00:22:52,800 Speaker 1: else face really dangerous political consequences. Look, we have got 396 00:22:52,840 --> 00:22:54,760 Speaker 1: to get people back to work. You know, the last 397 00:22:54,800 --> 00:22:58,040 Speaker 1: two weeks, I've done a teletour all around Texas. So 398 00:22:58,080 --> 00:23:02,000 Speaker 1: I've had video conferences with with people in East Texas, 399 00:23:02,080 --> 00:23:04,760 Speaker 1: people in West Texas, people down in the Rio Grand Valley, 400 00:23:04,880 --> 00:23:08,440 Speaker 1: people all over the state. It's interesting. City and government, 401 00:23:08,800 --> 00:23:11,640 Speaker 1: city and county leaders. They're all going broke. Their tax 402 00:23:11,720 --> 00:23:14,840 Speaker 1: revenue is plumbting, and a number of them are saying, well, well, 403 00:23:15,000 --> 00:23:18,640 Speaker 1: could the Feds send us more money? And my response, 404 00:23:18,680 --> 00:23:20,560 Speaker 1: and that, by the way, is what the Democrats keep saying, 405 00:23:20,600 --> 00:23:22,560 Speaker 1: is let's send more money to state and local governments. 406 00:23:23,040 --> 00:23:24,880 Speaker 1: I'll tell you what I keep telling them. You know what, 407 00:23:25,359 --> 00:23:27,560 Speaker 1: the Feds are broke too. You know, we just spent 408 00:23:27,760 --> 00:23:30,480 Speaker 1: two point two trillion dollars. It's not like there's some 409 00:23:30,720 --> 00:23:33,360 Speaker 1: safe we pulled it out of. We just borrowed it all. 410 00:23:33,720 --> 00:23:36,000 Speaker 1: We're borrowing it from our kids and grandkids. And by 411 00:23:36,040 --> 00:23:39,480 Speaker 1: the way, your city in county tax revenues are plumbting. 412 00:23:39,520 --> 00:23:42,919 Speaker 1: Guess what Federal tax revenues are plumbing, and they're going 413 00:23:42,960 --> 00:23:46,000 Speaker 1: to plumb it even more because tax revenues are a 414 00:23:46,080 --> 00:23:49,840 Speaker 1: function of the economy, and right now government policies are 415 00:23:49,960 --> 00:23:53,400 Speaker 1: killing the economy. You want your tax revenues to come back. 416 00:23:53,720 --> 00:23:56,080 Speaker 1: Let the economy come back, Let people go back to work, 417 00:23:56,160 --> 00:23:59,760 Speaker 1: let them, let them drive economic growth in small businesses 418 00:23:59,760 --> 00:24:02,480 Speaker 1: are chomping at the bit. You know, we've seen in 419 00:24:02,480 --> 00:24:05,720 Speaker 1: the in the in the time of this this this crisis, 420 00:24:06,480 --> 00:24:12,119 Speaker 1: hundreds of federal regulation, state regulations, local regulations suspended. We 421 00:24:12,240 --> 00:24:16,959 Speaker 1: need every regulation that was suspended during the crisis should 422 00:24:17,680 --> 00:24:22,639 Speaker 1: should continue suspended during the recovery. It's a great example 423 00:24:22,760 --> 00:24:26,080 Speaker 1: of you know, look for example in DC, when I 424 00:24:26,119 --> 00:24:28,440 Speaker 1: was up in DC, when when the Senate was in session, 425 00:24:29,240 --> 00:24:32,280 Speaker 1: you could order Mexican food and get a margharita. That 426 00:24:32,440 --> 00:24:34,720 Speaker 1: used to be illegally you weren't allowed to order a margharita. 427 00:24:34,760 --> 00:24:37,160 Speaker 1: And suddenly the idiotic law that prevented you from ordering 428 00:24:37,200 --> 00:24:38,760 Speaker 1: a margharity did and now you could have fehed as 429 00:24:38,760 --> 00:24:41,960 Speaker 1: and a margharita. Like like, why did we need that 430 00:24:42,040 --> 00:24:45,200 Speaker 1: stupid rule in the first place. All the rules against telemedicine, 431 00:24:45,720 --> 00:24:48,880 Speaker 1: like like telemedicine is great. Get a world class physician 432 00:24:48,920 --> 00:24:52,960 Speaker 1: to go into rural areas, underserved areas. All of these 433 00:24:53,000 --> 00:24:57,040 Speaker 1: barriers that that that hurt small businesses in economic growth. 434 00:24:57,400 --> 00:24:58,840 Speaker 1: We need to get them out of the way. But 435 00:24:59,720 --> 00:25:02,880 Speaker 1: all all of the politicians that want more tax revenues, 436 00:25:02,880 --> 00:25:04,720 Speaker 1: I got an easy way for you to get more 437 00:25:04,760 --> 00:25:09,640 Speaker 1: tax revenues. Stop killing the economy, Let people get back 438 00:25:09,680 --> 00:25:15,479 Speaker 1: to work. Liberate America, Liberate small businesses, liberate American workers. 439 00:25:15,520 --> 00:25:17,400 Speaker 1: Do it in a way that is smart and keeps 440 00:25:17,480 --> 00:25:20,840 Speaker 1: us safe. And that's how the economy turns around. And 441 00:25:20,880 --> 00:25:22,760 Speaker 1: that's how the country turns around. Right. I mean, there's 442 00:25:22,760 --> 00:25:25,480 Speaker 1: a meme that's been going around the internet, and it's 443 00:25:25,520 --> 00:25:28,119 Speaker 1: of somebody at the Federal Reserve churning a machine and 444 00:25:28,160 --> 00:25:30,520 Speaker 1: it says, money printer go burr. You know this idea 445 00:25:30,520 --> 00:25:32,840 Speaker 1: that you can print money forever. Now, the States they 446 00:25:32,880 --> 00:25:35,800 Speaker 1: don't have their own money printers. Federal government I suppose does, 447 00:25:35,920 --> 00:25:39,720 Speaker 1: but the money printer can't go burr forever. Eventually you're 448 00:25:39,760 --> 00:25:43,120 Speaker 1: gonna have to pay a price. And the Democrats few 449 00:25:43,160 --> 00:25:45,960 Speaker 1: they just think it's it's it's sort of magic money tree. 450 00:25:46,040 --> 00:25:49,399 Speaker 1: Just keep spending. Let's just give away trillions forever and 451 00:25:49,480 --> 00:25:54,560 Speaker 1: ever and ever. Look it comes from small businesses and jobs. 452 00:25:54,600 --> 00:25:58,080 Speaker 1: If you want this to turn around, people want to work, 453 00:25:58,160 --> 00:26:02,360 Speaker 1: People want to get back to work. Their frustrated. Let 454 00:26:02,400 --> 00:26:06,040 Speaker 1: them go back to work. Let let people drive the 455 00:26:06,280 --> 00:26:09,920 Speaker 1: miracle of the American economy. That's right. You know, we 456 00:26:10,720 --> 00:26:13,240 Speaker 1: reacted very seriously. Of course, we've been through the first 457 00:26:13,240 --> 00:26:15,720 Speaker 1: phase of this coronavirus. Now we have to get back 458 00:26:15,760 --> 00:26:18,760 Speaker 1: to work very quickly before we go. We're typically tight 459 00:26:18,840 --> 00:26:20,800 Speaker 1: on time, but we got to get to a little 460 00:26:20,840 --> 00:26:24,439 Speaker 1: bit in the mail bag from Katherine actually speaking of 461 00:26:24,480 --> 00:26:27,199 Speaker 1: staying home with your children. From Katherine, Will I be 462 00:26:27,240 --> 00:26:30,439 Speaker 1: able to enjoy my empty nest this fall? Will my 463 00:26:30,600 --> 00:26:35,800 Speaker 1: freshman daughter be able to go off to college? I 464 00:26:35,880 --> 00:26:40,199 Speaker 1: have no idea. I hope. So. Right now, colleges and 465 00:26:40,320 --> 00:26:42,560 Speaker 1: universities pretty much all of them or most of them, 466 00:26:42,600 --> 00:26:45,360 Speaker 1: have said that they're out through this semester, so we'll 467 00:26:45,400 --> 00:26:49,560 Speaker 1: get through the summer. I think most colleges are planning 468 00:26:49,560 --> 00:26:52,520 Speaker 1: to be back in the fall. The big question is 469 00:26:52,600 --> 00:26:55,200 Speaker 1: a do we defeat this virus? And it may be 470 00:26:55,520 --> 00:26:57,480 Speaker 1: we see a lot of viruses that are seasonal, that 471 00:26:57,520 --> 00:27:00,240 Speaker 1: as things get hot, that may help kill it all off. 472 00:27:00,800 --> 00:27:03,760 Speaker 1: But if it is seasonal, that raises the real prospect 473 00:27:03,800 --> 00:27:06,040 Speaker 1: that we'll see a resurgence in the fall, that that 474 00:27:06,440 --> 00:27:09,640 Speaker 1: comes September October, we may see the numbers go back 475 00:27:09,720 --> 00:27:12,600 Speaker 1: up again. If there's a big resurgence, I think there 476 00:27:12,640 --> 00:27:16,000 Speaker 1: becomes a likelihood that that colleges and university shut down again. 477 00:27:16,040 --> 00:27:18,720 Speaker 1: I hope not. I mean, I feel really bad for 478 00:27:18,760 --> 00:27:21,119 Speaker 1: these college kids that are not able to be at 479 00:27:21,160 --> 00:27:24,800 Speaker 1: school and they're going through something that I hope is 480 00:27:24,800 --> 00:27:27,760 Speaker 1: is limited in time and isolated. But it's going to 481 00:27:27,840 --> 00:27:30,600 Speaker 1: depend on the medical facts and what happens. Right, And 482 00:27:30,960 --> 00:27:34,240 Speaker 1: as doctor Fauci just said, the viruses don't just go away. 483 00:27:34,359 --> 00:27:36,679 Speaker 1: You know, we can start to deal with them. We 484 00:27:36,760 --> 00:27:39,320 Speaker 1: can develop drugs, they're new drugs on the horizon and 485 00:27:39,440 --> 00:27:42,199 Speaker 1: show promise, we can develop vaccines, but they don't just 486 00:27:42,320 --> 00:27:44,359 Speaker 1: disappear forever. And so we're gonna be dealing with the 487 00:27:44,400 --> 00:27:47,840 Speaker 1: fallout for this for years to come. And I guess 488 00:27:47,880 --> 00:27:50,640 Speaker 1: next time we will get into exactly the timeline here, 489 00:27:50,680 --> 00:27:52,480 Speaker 1: because if we want to figure out how to deal 490 00:27:52,520 --> 00:27:54,480 Speaker 1: with this and prevented in the future, we've got to 491 00:27:54,520 --> 00:27:57,320 Speaker 1: find out how it all began. And there's been a 492 00:27:57,359 --> 00:28:01,840 Speaker 1: lot of misinformation and disinformation around on that. I did 493 00:28:01,960 --> 00:28:06,000 Speaker 1: retweet someone who had a custom face mask that had 494 00:28:06,040 --> 00:28:08,960 Speaker 1: the don't tread on me flag, except it said don't 495 00:28:09,000 --> 00:28:12,640 Speaker 1: sneeze on me. Those are you know, I guess that's 496 00:28:12,640 --> 00:28:14,920 Speaker 1: really I've got a good chuckle from that. Yeah, we've 497 00:28:14,960 --> 00:28:17,400 Speaker 1: got a balance in our response here, the don't tread 498 00:28:17,440 --> 00:28:19,200 Speaker 1: on me and they don't sneeze on me. We will 499 00:28:19,240 --> 00:28:20,760 Speaker 1: get into so much more of that next time. And 500 00:28:21,000 --> 00:28:24,400 Speaker 1: by the way, did you see the video in Philadelphia 501 00:28:24,440 --> 00:28:27,560 Speaker 1: of this guy being dragged off the bus by several 502 00:28:27,600 --> 00:28:29,800 Speaker 1: officers because he wasn't wearing a mask and they're like 503 00:28:30,160 --> 00:28:33,760 Speaker 1: physically man handling him. And I said a tweet, I said, well, 504 00:28:33,800 --> 00:28:36,639 Speaker 1: wouldn't have been easier just to give him a mask? 505 00:28:36,240 --> 00:28:39,160 Speaker 1: Look like, at some point, just don't be stupid, don't 506 00:28:39,200 --> 00:28:42,560 Speaker 1: behave like jack booted thugs. And it's kind of funny 507 00:28:42,560 --> 00:28:46,680 Speaker 1: all these Twitter lefties are going, I agree with Crews. 508 00:28:46,760 --> 00:28:52,320 Speaker 1: It's like, well, good, then stop elected politicians from behaving 509 00:28:52,560 --> 00:28:56,440 Speaker 1: like petty tyrants. That's right. And you've seen these overreaches everywhere. 510 00:28:56,480 --> 00:28:58,440 Speaker 1: I mean It's not just in Philly, it's all over 511 00:28:58,480 --> 00:29:02,560 Speaker 1: the country. People seem to enjoy flexing their muscles in 512 00:29:02,600 --> 00:29:06,360 Speaker 1: these power grabs. And you know that's gone on long enough. 513 00:29:06,760 --> 00:29:09,640 Speaker 1: Now it would appear that it's time to turn it around. 514 00:29:10,280 --> 00:29:15,600 Speaker 1: Retake our economy, retake our society, and retake our rights. Senator, 515 00:29:15,720 --> 00:29:18,800 Speaker 1: all of that for next time. In the meantime, we 516 00:29:18,880 --> 00:29:21,960 Speaker 1: have run out of time on this episode. I'm Michael Knowles. 517 00:29:22,000 --> 00:29:33,120 Speaker 1: This is Verdict with Ted Cruz. This episode of Verdict 518 00:29:33,160 --> 00:29:35,720 Speaker 1: with Ted Cruz is being brought to you by Jobs, 519 00:29:35,760 --> 00:29:39,520 Speaker 1: Freedom and Security Pack, a political action committee dedicated to 520 00:29:39,560 --> 00:29:44,240 Speaker 1: supporting conservative causes, organizations, and candidates across the country. In 521 00:29:44,320 --> 00:29:47,640 Speaker 1: twenty twenty two, Jobs Freedom and Security Pack plans to 522 00:29:47,720 --> 00:29:51,000 Speaker 1: donate to conservative candidates running for Congress and help the 523 00:29:51,080 --> 00:29:53,200 Speaker 1: Republican Party across the nation.