1 00:00:03,400 --> 00:00:15,560 Speaker 1: You are entering the freedom hunt. De Blasio has a 2 00:00:15,760 --> 00:00:20,000 Speaker 1: double standard for gatherings of big groups. A Black Lives 3 00:00:20,000 --> 00:00:23,640 Speaker 1: Matter mural is painted outside Trump Tower, Seattle to defund 4 00:00:23,720 --> 00:00:29,200 Speaker 1: cops by fifty percent. Goya Foods CEO under fire. Will 5 00:00:29,280 --> 00:00:33,680 Speaker 1: the Biden debate actually happen? With Trump and Pompeo on TikTok? 6 00:00:33,760 --> 00:00:37,519 Speaker 1: Coming up? This is the Buck Sexton Show, where the 7 00:00:37,560 --> 00:00:40,800 Speaker 1: mission or mission is to decode what really matters with 8 00:00:40,960 --> 00:00:47,800 Speaker 1: actionable intelligence. Make no mistake America, great, great American Again. 9 00:00:47,920 --> 00:00:53,279 Speaker 1: The Buck Sexton Show begins from the CIA analyst. He's 10 00:00:53,280 --> 00:00:59,960 Speaker 1: a great guy. No, welcome, my friends to the Bucks 11 00:01:00,040 --> 00:01:02,760 Speaker 1: Exton Show. Thank you very much for being here, and 12 00:01:02,920 --> 00:01:05,360 Speaker 1: honor as always. Oh my, We've got so much to 13 00:01:05,360 --> 00:01:07,679 Speaker 1: get to today, and I know it's Friday, so it 14 00:01:07,720 --> 00:01:10,840 Speaker 1: feels like that show flies by. We'll get to your 15 00:01:10,920 --> 00:01:15,360 Speaker 1: voicemails later on. We'll have producer Mark joining in on 16 00:01:15,400 --> 00:01:17,720 Speaker 1: some of that fun. We've got a special guest for 17 00:01:17,720 --> 00:01:19,840 Speaker 1: you later on. Oh my gosh, so much coming up. 18 00:01:19,840 --> 00:01:22,919 Speaker 1: But I want to get right to what you're seeing. 19 00:01:22,920 --> 00:01:24,679 Speaker 1: If you were to say, do what I did this morning, 20 00:01:24,800 --> 00:01:30,000 Speaker 1: I turned on CNN, and I know, I know you're thinking, Buck, 21 00:01:30,080 --> 00:01:32,800 Speaker 1: why you why you do this to yourself? Why do 22 00:01:32,840 --> 00:01:39,320 Speaker 1: you abuse your eyes and turn your brain into mush 23 00:01:39,400 --> 00:01:40,920 Speaker 1: first thing in the morning. Well, I do it so 24 00:01:40,959 --> 00:01:43,040 Speaker 1: that I can bring you the most up to date 25 00:01:43,080 --> 00:01:46,840 Speaker 1: and the most accurate assessment of what the LIB journals 26 00:01:46,880 --> 00:01:51,160 Speaker 1: are up to. And certainly you can tell right now 27 00:01:51,280 --> 00:01:56,120 Speaker 1: we're back to all out COVID panic all across the 28 00:01:56,160 --> 00:01:59,200 Speaker 1: country that if you are listening to the national news media, 29 00:01:59,320 --> 00:02:02,240 Speaker 1: you're supposed to just think, all right, let's just all 30 00:02:02,280 --> 00:02:05,240 Speaker 1: lock down again, let's just do this again, let's go 31 00:02:05,320 --> 00:02:10,640 Speaker 1: for it. And that for some of us, I can 32 00:02:10,760 --> 00:02:15,560 Speaker 1: understand if you're particularly frightened and you're at high risk, 33 00:02:15,600 --> 00:02:18,520 Speaker 1: as we've talked about so many times, if you want 34 00:02:18,560 --> 00:02:21,040 Speaker 1: to take precautions because things are bad in your area, 35 00:02:21,080 --> 00:02:24,119 Speaker 1: if you're a healthcare worker and you're worried about hospital capacity, 36 00:02:24,200 --> 00:02:27,519 Speaker 1: that's one thing. But now we're seeing the argument being 37 00:02:27,520 --> 00:02:30,400 Speaker 1: made that has to be national. You see, this is 38 00:02:30,400 --> 00:02:33,560 Speaker 1: what it's not just Oh, things are going badly in 39 00:02:33,639 --> 00:02:37,440 Speaker 1: Texas with COVID, or in Florida and they're setting records. 40 00:02:37,480 --> 00:02:40,440 Speaker 1: It's well, because it's going badly there, let's have everywhere 41 00:02:40,520 --> 00:02:42,440 Speaker 1: else locked down again, even in New York, where there 42 00:02:42,480 --> 00:02:45,560 Speaker 1: were nine people who died from COVID nineteen yesterday. In 43 00:02:45,600 --> 00:02:50,840 Speaker 1: the whole state, very very few new cases, Massachusetts very few, 44 00:02:50,880 --> 00:02:55,480 Speaker 1: New Jersey very few. No one really knows exactly what's 45 00:02:55,520 --> 00:02:59,240 Speaker 1: happening here, all right, all the people that are telling you, oh, 46 00:02:59,280 --> 00:03:02,120 Speaker 1: it's because we didn't do what the people told us. 47 00:03:02,160 --> 00:03:05,400 Speaker 1: It's all our fault. No, that's not true, all right. 48 00:03:05,480 --> 00:03:09,040 Speaker 1: California has been on super lockdown, very strict for months 49 00:03:09,080 --> 00:03:12,080 Speaker 1: and months, and California's having spikes in cases too. It 50 00:03:12,200 --> 00:03:16,200 Speaker 1: seems that one possible interpretation of these events is that 51 00:03:16,240 --> 00:03:18,960 Speaker 1: there is an inevitable spread that happens once this gets 52 00:03:18,960 --> 00:03:21,600 Speaker 1: into a community, and unfortunately, it will burn through the 53 00:03:21,600 --> 00:03:25,280 Speaker 1: community at some level, and then it will move past it. 54 00:03:25,840 --> 00:03:29,160 Speaker 1: So here in New York, because there were so many infections, 55 00:03:29,520 --> 00:03:32,560 Speaker 1: we may in fact be less susceptible, hopefully to a 56 00:03:32,639 --> 00:03:39,680 Speaker 1: repeat of such wide scale, broad spectrum and incredibly lethal infection. 57 00:03:39,800 --> 00:03:43,240 Speaker 1: But that same phenomenon, that same wave seems to be 58 00:03:43,320 --> 00:03:45,880 Speaker 1: hitting other places across the country now. It's clearly a 59 00:03:45,920 --> 00:03:48,920 Speaker 1: big issue in Arizona, in Texas and Georgia and Florida. 60 00:03:49,280 --> 00:03:52,920 Speaker 1: Months after the reopen. So we also don't really have 61 00:03:53,560 --> 00:03:57,000 Speaker 1: a lot of data, a lot of answers to this, 62 00:03:57,040 --> 00:04:00,320 Speaker 1: and I told you I would revisit this as as 63 00:04:00,360 --> 00:04:03,960 Speaker 1: new information came out. But remember we were told that 64 00:04:04,040 --> 00:04:07,680 Speaker 1: certain states needed to be an absolute lockdown when other 65 00:04:07,840 --> 00:04:12,160 Speaker 1: states weren't having a lot of cases. And now that 66 00:04:12,280 --> 00:04:15,480 Speaker 1: those states have already gone through the lockdowns, states that 67 00:04:15,600 --> 00:04:19,400 Speaker 1: didn't are now the justification to lockdown again for everyone else. Right, 68 00:04:19,400 --> 00:04:22,400 Speaker 1: So this is why we want national mask mandates national 69 00:04:22,480 --> 00:04:30,320 Speaker 1: this national no, absolutely not. This, as we know, is 70 00:04:30,360 --> 00:04:36,560 Speaker 1: a combination of bad policy, very politically obvious to me, 71 00:04:36,640 --> 00:04:40,320 Speaker 1: at least politically minded decisions with the election coming up. 72 00:04:40,920 --> 00:04:45,120 Speaker 1: The President understands this, he told me in the Oval office. 73 00:04:45,160 --> 00:04:47,320 Speaker 1: I said it was the last thing we talked about 74 00:04:47,360 --> 00:04:50,240 Speaker 1: before I left us at President Trump. Mister President, please 75 00:04:51,120 --> 00:04:56,839 Speaker 1: no second lockdown. Push, don't freeze everything again and shut 76 00:04:56,880 --> 00:04:59,520 Speaker 1: down everything when we can't do that. And I know 77 00:04:59,600 --> 00:05:02,640 Speaker 1: that this ates have a large part of the decision 78 00:05:02,680 --> 00:05:05,320 Speaker 1: making here, but the federal government was really pushing states 79 00:05:05,720 --> 00:05:10,279 Speaker 1: as well and using its powers for a lockdown. The 80 00:05:10,320 --> 00:05:13,440 Speaker 1: President said he wouldn't do it. Here we are with 81 00:05:13,600 --> 00:05:18,440 Speaker 1: the latest from him on why even though yes there 82 00:05:18,440 --> 00:05:21,440 Speaker 1: are spikes and cases, and yes now it is additional hospitalizations, 83 00:05:21,480 --> 00:05:25,000 Speaker 1: and the death rate has gone up substantially in a 84 00:05:25,000 --> 00:05:29,200 Speaker 1: few of these states. It is still not the right 85 00:05:29,279 --> 00:05:33,400 Speaker 1: move to lockdown the country again. Still it is still 86 00:05:33,440 --> 00:05:37,640 Speaker 1: not the right move. Play clip seventeen. A policy of 87 00:05:37,800 --> 00:05:42,200 Speaker 1: never ending lockdowns month after month would ultimately do more 88 00:05:42,240 --> 00:05:46,599 Speaker 1: harm than good to public health and so bad for 89 00:05:46,640 --> 00:05:49,560 Speaker 1: our children. As we saved millions of lives, now it's 90 00:05:49,600 --> 00:05:52,080 Speaker 1: time to get back to work. A lot of people 91 00:05:52,120 --> 00:05:55,000 Speaker 1: were against those bands, and now they admit. Most of 92 00:05:55,000 --> 00:05:59,159 Speaker 1: those same people admit that band was the greatest thing 93 00:06:00,080 --> 00:06:05,520 Speaker 1: saved so many lives. Crucially, we realize that the health 94 00:06:05,560 --> 00:06:08,760 Speaker 1: of a nation's economy is fundamental to the health of 95 00:06:08,760 --> 00:06:11,960 Speaker 1: his people. In the last two months, we have begun 96 00:06:12,120 --> 00:06:16,520 Speaker 1: the fastest economic comeback in history. I hope the president 97 00:06:16,720 --> 00:06:18,839 Speaker 1: sticks to it on this, but it's also not entirely 98 00:06:18,920 --> 00:06:23,360 Speaker 1: up to him. Democrat governors will be viewed as heroes 99 00:06:23,360 --> 00:06:25,359 Speaker 1: by their own party. I mean, everyone knows what the 100 00:06:25,400 --> 00:06:27,640 Speaker 1: game is here, right. Even if you don't have a 101 00:06:27,680 --> 00:06:29,159 Speaker 1: lot of cases, you don't have a lot of deaths 102 00:06:29,200 --> 00:06:31,640 Speaker 1: from COVID nineteen in your state. In a lockdown for 103 00:06:31,680 --> 00:06:34,839 Speaker 1: a month or two, just just make sure that it's 104 00:06:34,880 --> 00:06:37,880 Speaker 1: impossible to get any real momentum before the November election. 105 00:06:37,960 --> 00:06:41,599 Speaker 1: That that's what is motivating a lot of the decision 106 00:06:41,600 --> 00:06:44,240 Speaker 1: making right now. I think it's quite clear there's also 107 00:06:44,320 --> 00:06:48,480 Speaker 1: no honest discussion about, well, what are the new metrics. 108 00:06:48,560 --> 00:06:53,799 Speaker 1: Then if we're being told that this was about hospital capacity, 109 00:06:53,960 --> 00:06:56,640 Speaker 1: we can handle that. But no, now it's back to 110 00:06:56,760 --> 00:07:00,120 Speaker 1: crush the virus. There's this false narrative you're hearing of 111 00:06:59,720 --> 00:07:03,719 Speaker 1: some places crushed the virus. We didn't. America has been 112 00:07:03,760 --> 00:07:06,360 Speaker 1: bad at this, other places have been great. As if 113 00:07:06,400 --> 00:07:10,240 Speaker 1: we can't see the numbers per capita of countries around 114 00:07:10,280 --> 00:07:13,200 Speaker 1: the world. Western European nations very similar to ours in 115 00:07:13,240 --> 00:07:16,560 Speaker 1: a lot of regards, have had a much worse response 116 00:07:16,600 --> 00:07:18,840 Speaker 1: to this. The only exception would be Germany's about the 117 00:07:18,880 --> 00:07:22,600 Speaker 1: same as ours. Other Western European countries, large ones Italy, 118 00:07:22,840 --> 00:07:27,640 Speaker 1: the UK had far worse spread and lethality from this. 119 00:07:28,080 --> 00:07:32,040 Speaker 1: And somehow there's also a theory out there now that 120 00:07:32,200 --> 00:07:35,200 Speaker 1: Democrat governors in places like New York and New Jersey 121 00:07:36,120 --> 00:07:40,160 Speaker 1: Cuomo and Murphy respectively did a great job with this, 122 00:07:41,040 --> 00:07:44,920 Speaker 1: when even with the spikes in Texas and Florida. Texas 123 00:07:44,920 --> 00:07:47,800 Speaker 1: and Florida have been far better so far in there, 124 00:07:47,840 --> 00:07:51,400 Speaker 1: it's not even close in their response to this. So 125 00:07:51,560 --> 00:07:55,640 Speaker 1: narrative is overtaking reality and facts. That much is for sure. 126 00:07:56,320 --> 00:07:59,080 Speaker 1: But you would also think that if you know, as 127 00:07:59,080 --> 00:08:01,080 Speaker 1: I was watching CNA, just they've got the ticker of 128 00:08:01,200 --> 00:08:03,880 Speaker 1: number of cases, number of people dying, and they just 129 00:08:03,960 --> 00:08:07,520 Speaker 1: have the only purpose that they'll go through all day 130 00:08:07,560 --> 00:08:09,560 Speaker 1: long is just look at how bad things are. Look 131 00:08:09,600 --> 00:08:11,520 Speaker 1: at how bad things are, look at how terrible things are. 132 00:08:11,520 --> 00:08:14,640 Speaker 1: Blamed Donald Trump. Blame Donald Trump. That's what you are 133 00:08:14,680 --> 00:08:17,200 Speaker 1: getting a dose of all day long. That's what they're 134 00:08:17,200 --> 00:08:21,040 Speaker 1: talking about. And wear a mask. Wear a mask. Even 135 00:08:21,080 --> 00:08:22,920 Speaker 1: though if you want, you can go and do a 136 00:08:23,000 --> 00:08:25,080 Speaker 1: quick search and maybe I should start posting some of 137 00:08:25,080 --> 00:08:29,280 Speaker 1: these on Facebook or something. You can see that the 138 00:08:29,320 --> 00:08:34,040 Speaker 1: most detailed and recent studies you can find on cloth 139 00:08:34,240 --> 00:08:39,040 Speaker 1: masks to prevent the spread of influenza range from we 140 00:08:39,160 --> 00:08:42,200 Speaker 1: can't prove any benefit to it might actually even be 141 00:08:42,240 --> 00:08:46,720 Speaker 1: worse to wear a cloth masks. There are people experts 142 00:08:46,760 --> 00:08:48,319 Speaker 1: who will say no, no no, no, wear a mask, wear 143 00:08:48,320 --> 00:08:50,800 Speaker 1: a mask, But when you actually look at the scientific 144 00:08:50,840 --> 00:08:52,520 Speaker 1: studies that have been done on this where they try 145 00:08:52,559 --> 00:08:55,560 Speaker 1: to prove what the theory. Remember the theories over one 146 00:08:55,600 --> 00:09:00,679 Speaker 1: hundred years old, but no one really challenges it. It 147 00:09:00,720 --> 00:09:04,400 Speaker 1: makes people feel better. I think it's largely a psychological thing. 148 00:09:04,480 --> 00:09:07,560 Speaker 1: Now people think, oh, masks healthy or safer. They want 149 00:09:07,559 --> 00:09:10,760 Speaker 1: to believe that. But and again, if you want to 150 00:09:10,760 --> 00:09:12,600 Speaker 1: wear a masks, go ahead. I don't have a problem 151 00:09:12,640 --> 00:09:15,319 Speaker 1: with anyone where and this I could be wrong. Maybe 152 00:09:15,360 --> 00:09:18,040 Speaker 1: it's you know, great, maybe it reduces virus transmission by 153 00:09:18,040 --> 00:09:21,480 Speaker 1: fifty percent. Why no study can show that. I'm curious, 154 00:09:22,240 --> 00:09:24,079 Speaker 1: but I have a problem with the mandates that are 155 00:09:24,080 --> 00:09:27,400 Speaker 1: going on. So you have that push to just make 156 00:09:27,440 --> 00:09:30,000 Speaker 1: America miserable again, which is what the Democrats are doing. 157 00:09:30,080 --> 00:09:33,679 Speaker 1: Make sure that this is this looks like it's ineptitude 158 00:09:33,720 --> 00:09:37,160 Speaker 1: from the federal government. Meanwhile, what are we supposed to do? 159 00:09:37,200 --> 00:09:40,440 Speaker 1: We all agreed it seemed as a society that the 160 00:09:40,520 --> 00:09:42,600 Speaker 1: lockdown has to be limited duration, and then we've got 161 00:09:42,600 --> 00:09:44,400 Speaker 1: to just go and learn to manage this and live 162 00:09:44,480 --> 00:09:46,920 Speaker 1: with it. And now we're forgetting that again. It's like 163 00:09:46,960 --> 00:09:48,959 Speaker 1: we never had that conversation as a country a few 164 00:09:49,000 --> 00:09:52,920 Speaker 1: months ago, and everyone's panicking and freaking out. But then 165 00:09:52,960 --> 00:09:55,920 Speaker 1: you have Democrats who show you also that they're entirely 166 00:09:56,240 --> 00:10:00,960 Speaker 1: un serious about doing anything worthwhile while this is happening. 167 00:10:01,400 --> 00:10:06,640 Speaker 1: Build a Blasio, former Democrat presidential candidate. I don't think 168 00:10:06,679 --> 00:10:08,960 Speaker 1: he could even get one percent of the vote, but 169 00:10:09,040 --> 00:10:12,600 Speaker 1: he runs America's largest city, which, unfortunately, I am stuck 170 00:10:12,640 --> 00:10:17,480 Speaker 1: in during this whole nightmare of the pandemic. And you're 171 00:10:17,480 --> 00:10:19,839 Speaker 1: seeing this another city, these other states to Texas. You 172 00:10:19,920 --> 00:10:22,120 Speaker 1: guys have a lockdown now, right. I know this was 173 00:10:22,240 --> 00:10:25,040 Speaker 1: mostly a New York problem, and everyone said, oh, the subway, 174 00:10:25,080 --> 00:10:27,920 Speaker 1: the subway. No, it looks like it's a lot more 175 00:10:27,960 --> 00:10:29,800 Speaker 1: than just the subway that can lead to super spread 176 00:10:29,840 --> 00:10:34,280 Speaker 1: of this, unfortunately. But I mean that was just a 177 00:10:34,360 --> 00:10:36,800 Speaker 1: good guess. You know that everybody's sort of had because 178 00:10:36,920 --> 00:10:39,160 Speaker 1: that's where you have a huge concentration of people every day. 179 00:10:39,200 --> 00:10:42,120 Speaker 1: But really, I think the main areas, the worst thing 180 00:10:42,120 --> 00:10:43,760 Speaker 1: you can do is be indoors for a long period 181 00:10:43,800 --> 00:10:47,240 Speaker 1: of time with people, So family spread is a huge concern. 182 00:10:48,720 --> 00:10:52,760 Speaker 1: But you have Bill de Blasio taking this moment when 183 00:10:52,800 --> 00:10:56,720 Speaker 1: he is supposed to be a leader on the issue 184 00:10:56,760 --> 00:11:00,160 Speaker 1: of public health. Right, He's got eight million people think 185 00:11:00,160 --> 00:11:04,079 Speaker 1: about eight million people who this complete and income poop 186 00:11:04,720 --> 00:11:08,720 Speaker 1: gets to just make these determinations like like he's Caesar 187 00:11:08,840 --> 00:11:11,360 Speaker 1: or something. This is how it shall be by decree 188 00:11:11,440 --> 00:11:15,559 Speaker 1: of de Blasio. You know what, even yesterday spend the 189 00:11:15,640 --> 00:11:20,920 Speaker 1: day painting a mural of Black Lives Matter. And to 190 00:11:20,960 --> 00:11:23,400 Speaker 1: say it's a mural, I mean it's really just writing 191 00:11:23,480 --> 00:11:26,679 Speaker 1: in letters. I mean to call it a mural makes 192 00:11:26,679 --> 00:11:28,920 Speaker 1: it sound like it's an work of art. No, they're 193 00:11:28,960 --> 00:11:33,400 Speaker 1: painting a sign on the street on Fifth Avenue in 194 00:11:33,480 --> 00:11:36,439 Speaker 1: New York City, right outside of Trump Tower. Play clip 195 00:11:36,480 --> 00:11:43,400 Speaker 1: two Black Lives Matter. That's Black Lives Matter came the 196 00:11:43,600 --> 00:11:49,600 Speaker 1: United States America. So Donald Trump does not understand, let's 197 00:11:49,640 --> 00:11:53,640 Speaker 1: paint it right in front of it building. Not only 198 00:11:55,080 --> 00:12:02,640 Speaker 1: is this abject buffoon doing this while Democrat talking points 199 00:12:02,640 --> 00:12:05,760 Speaker 1: across the country or that Trump has mishandled coronavirus and 200 00:12:05,800 --> 00:12:09,840 Speaker 1: we all need to be terrified again. Even though member 201 00:12:09,920 --> 00:12:13,439 Speaker 1: states were allowed to open open, reopen at their pace, 202 00:12:14,360 --> 00:12:17,760 Speaker 1: and they're not reopened, can we stop with this? They 203 00:12:17,800 --> 00:12:20,240 Speaker 1: have not. We still have restrictions. You still can't go 204 00:12:20,280 --> 00:12:22,480 Speaker 1: to the gym, you still can't go to you know, 205 00:12:23,080 --> 00:12:25,800 Speaker 1: sports games and stuff. I mean we're living at We're 206 00:12:25,880 --> 00:12:31,439 Speaker 1: continuing to get dragged through these restrictions and talk about 207 00:12:31,440 --> 00:12:33,080 Speaker 1: it like, oh, well, we went back to normal, and 208 00:12:33,120 --> 00:12:35,040 Speaker 1: this is what happens. No, we we started to go 209 00:12:35,080 --> 00:12:36,800 Speaker 1: a little bit back to normal. So what's the answer. 210 00:12:36,920 --> 00:12:41,000 Speaker 1: Never go back to normal? Hide and wait for a vaccine. 211 00:12:41,080 --> 00:12:43,880 Speaker 1: We've always been told that's not the strategy. And then 212 00:12:43,920 --> 00:12:47,720 Speaker 1: the second that things get scary, they say hide and 213 00:12:47,760 --> 00:12:50,600 Speaker 1: wait for a vaccine, we go this is the cycle. 214 00:12:50,960 --> 00:12:53,720 Speaker 1: Oh no, we can't do that. We recognize how stupid 215 00:12:53,720 --> 00:12:56,760 Speaker 1: that is as a policy. Oh, COVID cases are spiking 216 00:12:56,760 --> 00:12:59,160 Speaker 1: in a place. Everybody hide, We gotta wait for a vaccine. 217 00:13:00,600 --> 00:13:02,560 Speaker 1: It's not hide for a week or a day's let's 218 00:13:02,640 --> 00:13:08,360 Speaker 1: let's give us another couple of months. De Blasio has 219 00:13:08,480 --> 00:13:17,240 Speaker 1: canceled events in New York City, has canceled them through September. Okay, 220 00:13:17,360 --> 00:13:21,200 Speaker 1: he will not allow street fairs, any large outdoor these 221 00:13:21,240 --> 00:13:25,480 Speaker 1: are outdoor activities. Now, those of us who are here, 222 00:13:25,520 --> 00:13:29,520 Speaker 1: and you know, you know that much of the media 223 00:13:29,600 --> 00:13:31,600 Speaker 1: narrative is determined in New York and then then it's 224 00:13:31,880 --> 00:13:33,600 Speaker 1: blasted out through the rest of the country because this 225 00:13:33,679 --> 00:13:36,400 Speaker 1: is the main place where the journos live mostly in Brooklyn, 226 00:13:36,400 --> 00:13:38,640 Speaker 1: but also on the Upper West Side and a couple 227 00:13:38,640 --> 00:13:40,880 Speaker 1: of other places in the city where the CNN anchors 228 00:13:40,920 --> 00:13:45,679 Speaker 1: and the HuffPo bloggers all congregate. But de Blasio has 229 00:13:45,760 --> 00:13:50,599 Speaker 1: canceled large outdoor events, and in what is really a perfect, 230 00:13:51,520 --> 00:13:56,280 Speaker 1: a perfect example of the double standards that we're supposed 231 00:13:56,280 --> 00:14:01,640 Speaker 1: to choke down during this COVID pandemic, he was asked, 232 00:14:02,160 --> 00:14:06,120 Speaker 1: what about the big protests that are going on? I mean, 233 00:14:06,160 --> 00:14:08,520 Speaker 1: those are huge protests that are happening, and you know, 234 00:14:08,559 --> 00:14:11,199 Speaker 1: there was there was a piece yesterday. I mean, you 235 00:14:11,520 --> 00:14:15,760 Speaker 1: got you gotta just it's unbelievable. There was a piece 236 00:14:15,840 --> 00:14:19,120 Speaker 1: yesterday that said, I'm trying to find it exactly. Oh yeah, 237 00:14:19,280 --> 00:14:23,200 Speaker 1: protests may have spread coronavirus. Some cities admit this was 238 00:14:23,240 --> 00:14:27,200 Speaker 1: on Yahoo News. Responded, yeah, but they wore masks. They'd 239 00:14:27,240 --> 00:14:29,480 Speaker 1: wear masks still, sort of, what does the Blasi to 240 00:14:29,520 --> 00:14:32,400 Speaker 1: say about big protests. He's banning you in New York 241 00:14:32,760 --> 00:14:37,040 Speaker 1: from doing stuff so outside, what about the big protests? 242 00:14:37,120 --> 00:14:41,160 Speaker 1: Here's what he says, play five outdoor concerts and it 243 00:14:41,200 --> 00:14:44,120 Speaker 1: means things like parades. You know, things here in the 244 00:14:44,160 --> 00:14:47,280 Speaker 1: city can mean not just thousands, tens of thousands, hundreds 245 00:14:47,280 --> 00:14:50,520 Speaker 1: of thousands of people. It's just not time for that. Now, 246 00:14:50,680 --> 00:14:53,720 Speaker 1: what about protests? If people want to march down Fifth Avenue, 247 00:14:53,720 --> 00:14:56,080 Speaker 1: are there gonna be allowed to do so? Look, wealth, 248 00:14:56,160 --> 00:14:58,600 Speaker 1: this is always an area of real sensitivity. If you're 249 00:14:58,640 --> 00:15:01,200 Speaker 1: just talking about health, we would always say, hey, folks, 250 00:15:01,240 --> 00:15:04,480 Speaker 1: you know, stay home if you can. But we understand 251 00:15:04,520 --> 00:15:06,600 Speaker 1: at this moment in history, people are talking about the 252 00:15:06,680 --> 00:15:10,320 Speaker 1: need for historic changes. I mean today in New York City, 253 00:15:10,480 --> 00:15:13,600 Speaker 1: you know, recognizing the power and the meaning of the 254 00:15:13,600 --> 00:15:15,960 Speaker 1: message Black Lives Matter, which we did in front of 255 00:15:15,960 --> 00:15:19,280 Speaker 1: Trump Tower today. This is an historic moment of change. 256 00:15:19,280 --> 00:15:22,000 Speaker 1: We have to respect that, but also say to people 257 00:15:22,400 --> 00:15:26,240 Speaker 1: the kinds of gatherings were used to the parades, the fairs, 258 00:15:26,440 --> 00:15:29,200 Speaker 1: we just can't have that while we're focusing on health 259 00:15:29,320 --> 00:15:32,640 Speaker 1: right now. So you you heard him say there's a 260 00:15:32,680 --> 00:15:38,880 Speaker 1: double standard here. This is political bias through the law. 261 00:15:39,080 --> 00:15:44,040 Speaker 1: I don't understand how this can't be illegal. You have 262 00:15:44,080 --> 00:15:48,400 Speaker 1: somebody this is viewpoint discrimination with state resources. It's exactly 263 00:15:48,440 --> 00:15:52,000 Speaker 1: what this is. And they through the historic moment Black 264 00:15:52,040 --> 00:15:54,160 Speaker 1: Lives Matter has already gone through this whole thing before 265 00:15:54,320 --> 00:15:56,160 Speaker 1: you know what, got better for people. You know what 266 00:15:56,280 --> 00:16:00,520 Speaker 1: improved by be as a result of this movement? Nothing? Nothing, 267 00:16:01,320 --> 00:16:03,600 Speaker 1: Oh but it's a historic moment now, yeah, sure it is. 268 00:16:03,680 --> 00:16:05,200 Speaker 1: In six months, we'll look back and be like, what 269 00:16:05,280 --> 00:16:10,600 Speaker 1: were they even talking about, toppling statues, running around the street, looting, 270 00:16:10,800 --> 00:16:15,640 Speaker 1: lighting stores on fire, yelling at cops, defund police. Is 271 00:16:16,040 --> 00:16:19,960 Speaker 1: this is wrong? Oh, it's all about saving lives, It's 272 00:16:20,000 --> 00:16:23,760 Speaker 1: all about dealing with COVID until there's protests, and then 273 00:16:23,800 --> 00:16:26,640 Speaker 1: all of a sudden, Yeah, these protests are worth people 274 00:16:26,760 --> 00:16:30,040 Speaker 1: dying for. Is that what they're telling us dying from COVID? 275 00:16:31,160 --> 00:16:34,880 Speaker 1: It's protests aren't going to do anything worth anybody dying for. 276 00:16:35,120 --> 00:16:40,960 Speaker 1: I can assure you of that. You're in the freedom hunt. 277 00:16:41,400 --> 00:16:48,200 Speaker 1: This is the Buck Sexton Show podcast. In case it's 278 00:16:48,240 --> 00:16:52,320 Speaker 1: not bad enough that there's a Deblasio double standard, what 279 00:16:52,440 --> 00:16:54,560 Speaker 1: about the violence in the city that has gotten so 280 00:16:54,680 --> 00:16:58,760 Speaker 1: much worse. Forty percent or so up for shootings and homicides, 281 00:16:58,800 --> 00:17:01,640 Speaker 1: and no one can deny the city's gotten more violent. 282 00:17:01,800 --> 00:17:05,440 Speaker 1: It's much worse than it was. And he's out there 283 00:17:05,520 --> 00:17:09,960 Speaker 1: with people painting a side in the middle of the street. Yeah, 284 00:17:10,000 --> 00:17:12,320 Speaker 1: that's how we're going to conquer racism, and they did 285 00:17:12,359 --> 00:17:13,959 Speaker 1: it outside of Trump Tower. I mean, this is all 286 00:17:14,040 --> 00:17:18,200 Speaker 1: very obvious. It's just political, it's just nonsense. But here's 287 00:17:18,240 --> 00:17:20,680 Speaker 1: what he says about the violence that's going on in communities. 288 00:17:20,720 --> 00:17:23,199 Speaker 1: Play clip ten. Well, we're going to do immediately. The 289 00:17:23,480 --> 00:17:27,320 Speaker 1: NYPB is shifting deployments, moving officers where the need is greatest, 290 00:17:27,400 --> 00:17:30,440 Speaker 1: working with communities, and this is always the crucial part. 291 00:17:30,880 --> 00:17:34,080 Speaker 1: You can't just do it with police. Unique community leaders, clergy, 292 00:17:34,240 --> 00:17:36,760 Speaker 1: community organizations to come together. We are having a particular 293 00:17:36,800 --> 00:17:40,280 Speaker 1: issue in Harlem, and we've gathered community leaders from all 294 00:17:40,320 --> 00:17:42,800 Speaker 1: over Harlem who, in common cause this week are going 295 00:17:42,880 --> 00:17:45,240 Speaker 1: to be out there with the police shoulder to shoulders, 296 00:17:45,280 --> 00:17:47,360 Speaker 1: saying we're not going to allow this violence in our community. 297 00:17:47,600 --> 00:17:50,000 Speaker 1: The second piece is to get our court system up 298 00:17:50,000 --> 00:17:53,119 Speaker 1: and running. It's been at a very low speed. The 299 00:17:53,160 --> 00:17:55,840 Speaker 1: criminal justice system in the state is not fully functioning, 300 00:17:56,200 --> 00:17:59,119 Speaker 1: and that's creating a lot of problems. Even when police 301 00:17:59,200 --> 00:18:02,639 Speaker 1: arrest someone, the consequences aren't there. So we've got to 302 00:18:02,640 --> 00:18:04,879 Speaker 1: get that back up and running. And that's absolutely been 303 00:18:04,880 --> 00:18:07,480 Speaker 1: a victim of the coronavirus that we were missing. One 304 00:18:07,520 --> 00:18:09,760 Speaker 1: of the most important pieces of the equation. Let me 305 00:18:09,760 --> 00:18:11,760 Speaker 1: tell you what this moron is not telling you. They 306 00:18:11,800 --> 00:18:13,520 Speaker 1: got rid of cash bail in New York, so a 307 00:18:13,640 --> 00:18:16,760 Speaker 1: bail reform quote, bail reform means that people that can 308 00:18:16,800 --> 00:18:19,080 Speaker 1: make crimes get out basically right away. So it's not 309 00:18:19,119 --> 00:18:21,399 Speaker 1: about the court system not functioning it. They change the 310 00:18:21,440 --> 00:18:25,000 Speaker 1: court system like idiots, so that now it can't actually 311 00:18:25,400 --> 00:18:28,959 Speaker 1: do very much. And also undermining all of your cops. 312 00:18:29,119 --> 00:18:31,040 Speaker 1: You can have some event where you say you like 313 00:18:31,119 --> 00:18:33,880 Speaker 1: your cops. Guess what police force does not feel supported 314 00:18:33,880 --> 00:18:36,520 Speaker 1: in this city and a lot of other cities. Thanks 315 00:18:36,520 --> 00:18:39,840 Speaker 1: for listening to The bus Essen Show podcasts. Remember to 316 00:18:39,840 --> 00:18:43,679 Speaker 1: subscribe on Apple podcasts, the iHeartRadio app, or wherever you 317 00:18:43,760 --> 00:18:49,240 Speaker 1: get your podcasts. Well, what's this really all about? Why 318 00:18:49,240 --> 00:18:52,960 Speaker 1: do we have murals being painted in and call it 319 00:18:53,000 --> 00:18:55,159 Speaker 1: a mural? I think is to aggrandize what's going on? 320 00:18:55,200 --> 00:18:59,520 Speaker 1: Why do we have signs, political slogans painted at public 321 00:18:59,520 --> 00:19:03,760 Speaker 1: expense in New York and San Francisco, in Washington, DC? 322 00:19:05,600 --> 00:19:08,480 Speaker 1: What's going on with all that? As we know, they'll 323 00:19:08,520 --> 00:19:12,040 Speaker 1: say that this is about coming to terms with our 324 00:19:12,119 --> 00:19:17,960 Speaker 1: past or confronting historical wrongs. But what it's really about 325 00:19:19,200 --> 00:19:22,680 Speaker 1: is Donald Trump and how much the Democrats hate him, 326 00:19:22,720 --> 00:19:25,760 Speaker 1: and how much they are seeking not only to defeat 327 00:19:25,840 --> 00:19:31,040 Speaker 1: him in the fall, but to drag, immiserate, and humiliate 328 00:19:31,480 --> 00:19:34,439 Speaker 1: all of his supporters as much as they possibly can 329 00:19:35,000 --> 00:19:38,639 Speaker 1: in the process. This was yesterday. I remember, We've got 330 00:19:38,680 --> 00:19:43,919 Speaker 1: a city with spikes of violence and shootings, and nationwide, 331 00:19:44,680 --> 00:19:49,919 Speaker 1: you have real concerns over this continuation of the spread 332 00:19:49,680 --> 00:19:54,160 Speaker 1: of COVID nineteen of coronavirus, and they're out there. Deblasio's 333 00:19:54,160 --> 00:19:57,400 Speaker 1: out there with Al Sharpton. Al Sharpton's there. I don't 334 00:19:57,400 --> 00:20:00,879 Speaker 1: think it's surprised to anybody painting this mirror outside of 335 00:20:00,920 --> 00:20:03,879 Speaker 1: Trump's house, right, because this is really all about Trump 336 00:20:03,920 --> 00:20:08,240 Speaker 1: for them. And you could say, wait, isn't that absurd? 337 00:20:08,359 --> 00:20:11,159 Speaker 1: Is yes, exactly, It's deranged, it's crazy. It doesn't make 338 00:20:11,200 --> 00:20:16,520 Speaker 1: sense to a normal person. But Deblasio made it personal yesterday, 339 00:20:16,640 --> 00:20:21,119 Speaker 1: made it clear what's really going on here? Playclip three wolf. 340 00:20:21,240 --> 00:20:23,919 Speaker 1: It was that's an important message. The people of this 341 00:20:23,960 --> 00:20:26,360 Speaker 1: city believe black lives matter, and we wanted to send 342 00:20:26,400 --> 00:20:28,520 Speaker 1: that message to our whole city, but to our whole nation. 343 00:20:28,960 --> 00:20:31,719 Speaker 1: And in fact, here was an opportunity for the president 344 00:20:31,840 --> 00:20:34,640 Speaker 1: United States to show respect for the fact that that's 345 00:20:34,640 --> 00:20:37,119 Speaker 1: what we value here. And what did he do? He 346 00:20:37,280 --> 00:20:40,560 Speaker 1: literally tweeted that writing Black Lives Matter on Fifth Avenue 347 00:20:40,600 --> 00:20:45,240 Speaker 1: would quote unquote denigrate the luxury of that avenue. That 348 00:20:45,480 --> 00:20:49,600 Speaker 1: is pure racism. That is acting like an acknowledgement of 349 00:20:49,640 --> 00:20:54,560 Speaker 1: the value of black people is somehow belittling, when in fact, 350 00:20:54,680 --> 00:20:57,280 Speaker 1: what we're trying to do is lift up people who 351 00:20:57,280 --> 00:20:59,960 Speaker 1: have built this city and built America and haven't been 352 00:21:00,119 --> 00:21:03,120 Speaker 1: given their respect. And it can't just be words, well 353 00:21:03,119 --> 00:21:06,120 Speaker 1: if it has to be actions. So we're taking resources 354 00:21:06,600 --> 00:21:12,880 Speaker 1: from our police department and putting it into youth programs. Yeah, 355 00:21:12,920 --> 00:21:19,560 Speaker 1: youth programs. That's going to stop people from murdering individuals 356 00:21:19,560 --> 00:21:21,760 Speaker 1: in broad daylight, including when they're walking with their six 357 00:21:21,840 --> 00:21:24,400 Speaker 1: year old daughter, which happened here in New York recently. 358 00:21:25,080 --> 00:21:28,159 Speaker 1: That's that's really going to stop it. Look, this is 359 00:21:28,280 --> 00:21:34,320 Speaker 1: just about egos between people in positions of leadership, right, Deblasio. 360 00:21:34,640 --> 00:21:38,960 Speaker 1: This guy's an egomaniac. It's amazing. He's not charming. I've 361 00:21:39,000 --> 00:21:43,080 Speaker 1: never met a human being who is even vaguely intelligent 362 00:21:43,080 --> 00:21:48,960 Speaker 1: who likes Bill Deblasio, never including Democrats, and he has 363 00:21:49,000 --> 00:21:52,760 Speaker 1: this feud with Trump. Ultimately He also is bitter because 364 00:21:52,800 --> 00:21:56,000 Speaker 1: he believes that a country that would elevate Donald Trump. 365 00:21:56,000 --> 00:21:58,439 Speaker 1: And this is true of many Democrats. Wherever you are 366 00:21:58,440 --> 00:22:03,160 Speaker 1: across the country right now, your Democrat mayor, or governor, 367 00:22:03,320 --> 00:22:07,280 Speaker 1: or member of Congress, whatever, trust me, they're all angry 368 00:22:07,320 --> 00:22:10,120 Speaker 1: at this country. They think that America needs to be 369 00:22:10,160 --> 00:22:16,560 Speaker 1: punished for electing Donald Trump, and they're willing to help 370 00:22:16,800 --> 00:22:18,919 Speaker 1: make that punishment happen. They're willing to do whatever it 371 00:22:19,040 --> 00:22:23,680 Speaker 1: is they can, whatever they have to. And in case 372 00:22:23,680 --> 00:22:27,240 Speaker 1: you were wondering, to what extent is Deblasi are willing 373 00:22:27,280 --> 00:22:31,119 Speaker 1: to go in order to make the case about He 374 00:22:31,200 --> 00:22:35,120 Speaker 1: says Trump is being racist and all this stuff. This 375 00:22:35,200 --> 00:22:38,840 Speaker 1: is about liberation. The mayor of New York said, there's 376 00:22:39,080 --> 00:22:44,040 Speaker 1: liberating the street. It's amazing play four. We need to 377 00:22:44,080 --> 00:22:46,560 Speaker 1: take this transcendent moment and get the most out of it. 378 00:22:46,960 --> 00:22:50,439 Speaker 1: But the President, rather than having a chance to acknowledge 379 00:22:50,720 --> 00:22:56,200 Speaker 1: America's original sin, he literally made it worse by suggesting 380 00:22:56,240 --> 00:23:00,200 Speaker 1: that honoring black people on Fifth Avenue, which some I'll 381 00:23:00,240 --> 00:23:04,440 Speaker 1: make it less valuable or luxurious. I've got to tell 382 00:23:04,480 --> 00:23:08,320 Speaker 1: you people are outraged by that. But more importantly, they're 383 00:23:08,400 --> 00:23:12,200 Speaker 1: speaking out and folks today felt jubilant and triumphant. We 384 00:23:12,200 --> 00:23:15,800 Speaker 1: were not denigrating Fifth Avenue. We were liberating Fifth Avenue 385 00:23:15,800 --> 00:23:19,439 Speaker 1: by putting those crucial words right there in front of 386 00:23:19,480 --> 00:23:26,120 Speaker 1: President Trump's building. The crucial words that are the name 387 00:23:26,280 --> 00:23:29,480 Speaker 1: of a Marxist movement that seeks to destroy the nuclear 388 00:23:29,520 --> 00:23:34,240 Speaker 1: family and create socialism in America, among many, many, many 389 00:23:34,320 --> 00:23:41,000 Speaker 1: other policy issues that it openly takes. But see, he's 390 00:23:41,040 --> 00:23:45,320 Speaker 1: a perfect example Deblasio is doing. He is putting on 391 00:23:45,359 --> 00:23:48,760 Speaker 1: a clinic of what the real purpose of the Black 392 00:23:48,800 --> 00:23:51,920 Speaker 1: Lives Matter movement is. They call it black Lives Matter 393 00:23:52,040 --> 00:23:55,800 Speaker 1: so that anyone who criticizes it, it's like they're saying 394 00:23:55,800 --> 00:23:59,280 Speaker 1: they don't care about black lives. It's such a dishonest 395 00:24:00,240 --> 00:24:04,120 Speaker 1: orical trick. It's a trap. So they get to promote 396 00:24:04,119 --> 00:24:06,560 Speaker 1: the movement and then we all say, well, hold on 397 00:24:06,600 --> 00:24:10,320 Speaker 1: a second, but I disagree with the movement. You disagree 398 00:24:10,320 --> 00:24:14,679 Speaker 1: with Black Lives Matter? Are you saying that those lives 399 00:24:14,760 --> 00:24:20,200 Speaker 1: don't matter? Of course, no one saying that. Morons, right, 400 00:24:20,440 --> 00:24:25,720 Speaker 1: total morons do this, But it works. It works somehow. 401 00:24:25,760 --> 00:24:29,639 Speaker 1: We live in a country where everyone's constantly in fear 402 00:24:30,200 --> 00:24:33,000 Speaker 1: of being called racist, and the left has created an 403 00:24:33,000 --> 00:24:36,280 Speaker 1: atmosphere where they say that everything is basically racist all 404 00:24:36,280 --> 00:24:41,920 Speaker 1: the time. We're all racist, even though being called a 405 00:24:42,040 --> 00:24:45,080 Speaker 1: racist will ruin you and destroy you. Right, there's racism everywhere. 406 00:24:45,119 --> 00:24:48,520 Speaker 1: There's just constant racism. And yet that's something that gives 407 00:24:48,520 --> 00:24:52,160 Speaker 1: anyone who makes the allegation tremendous power. So either we're 408 00:24:52,160 --> 00:24:55,040 Speaker 1: a society that's just fine with racism, or there are 409 00:24:55,080 --> 00:24:58,280 Speaker 1: people that are lying about this and exploiting it because 410 00:24:58,280 --> 00:25:02,280 Speaker 1: we're actually hypersensitive about racism and talk about it all 411 00:25:02,280 --> 00:25:08,560 Speaker 1: the time, and that helps certain political interests gain power. 412 00:25:09,640 --> 00:25:12,200 Speaker 1: That's what's really going on, and we understand. You can 413 00:25:12,240 --> 00:25:16,919 Speaker 1: see it. It's so obvious. We're liberating, liberating Fifth Avenue. 414 00:25:17,040 --> 00:25:20,600 Speaker 1: Oh my gosh, no one's even gonna remember. No one's 415 00:25:20,600 --> 00:25:23,720 Speaker 1: even gonna remember this. You know, in six months people 416 00:25:23,720 --> 00:25:25,680 Speaker 1: walk back, they did they really paint Black Lives Matter 417 00:25:25,760 --> 00:25:28,600 Speaker 1: on the store? What was that all about? What's getting better? 418 00:25:28,640 --> 00:25:33,640 Speaker 1: What's changing for the better? Defunding defunding cops. That's a 419 00:25:33,680 --> 00:25:38,480 Speaker 1: stupid position, right, that's aggressively stupid. So that's not going 420 00:25:38,520 --> 00:25:41,919 Speaker 1: to be something that anyone looks back on with fondness. 421 00:25:41,960 --> 00:25:49,639 Speaker 1: So what is changing for the better Trump losing the election. 422 00:25:49,720 --> 00:25:52,480 Speaker 1: That's what it really, that's the actual answer in their minds. 423 00:25:52,600 --> 00:25:55,199 Speaker 1: Everything else is just it's just make believe stuff. I mean, 424 00:25:55,200 --> 00:25:57,760 Speaker 1: except for some of the true activists, some of the 425 00:25:57,800 --> 00:26:02,240 Speaker 1: hardliners who think that this is going to bring about 426 00:26:02,280 --> 00:26:04,280 Speaker 1: something better. I mean, you want to talk about what's 427 00:26:04,280 --> 00:26:09,000 Speaker 1: going on. Nancy Pelosi was asked yesterday about tearing down 428 00:26:09,119 --> 00:26:14,080 Speaker 1: statues and she, look, this is the most powerful elected 429 00:26:14,160 --> 00:26:19,040 Speaker 1: Democrat in the country right now, I did. It's just 430 00:26:19,240 --> 00:26:25,800 Speaker 1: kind of just stupid dicks that day, ask her. Yeah, 431 00:26:25,840 --> 00:26:30,480 Speaker 1: she's just yeah, yeah, this is who the Democrats want 432 00:26:30,520 --> 00:26:36,040 Speaker 1: to lead. I mean, I I Financy Pelosi's so both 433 00:26:36,040 --> 00:26:39,520 Speaker 1: odious and unimpressive, but Democrats they just love it. They 434 00:26:39,560 --> 00:26:43,240 Speaker 1: love it because she's just a really a really nasty, 435 00:26:43,359 --> 00:26:47,560 Speaker 1: vicious partisan who has no who has no remorse for 436 00:26:47,640 --> 00:26:51,320 Speaker 1: what she says or does, doesn't care, fights as dirty 437 00:26:51,359 --> 00:26:55,640 Speaker 1: as she can of a completely ruthless demagogue. That's what 438 00:26:55,680 --> 00:26:59,119 Speaker 1: they want, that's what they like. You know, Pelosi is 439 00:26:59,119 --> 00:27:03,280 Speaker 1: a political knife fighter. That's why Democrats like her so much. 440 00:27:03,720 --> 00:27:05,480 Speaker 1: And why do they hate Trump so much? Because he 441 00:27:05,520 --> 00:27:07,399 Speaker 1: actually shows up and you know, usually it says he 442 00:27:07,520 --> 00:27:10,280 Speaker 1: wants to fight back to I'm telling you Trump still 443 00:27:10,280 --> 00:27:13,240 Speaker 1: doesn't have still doesn't have to fight, and the fire 444 00:27:13,280 --> 00:27:14,840 Speaker 1: in the belly right now that we need from him, 445 00:27:15,080 --> 00:27:17,399 Speaker 1: it's not there. We'll talk more about that later. I 446 00:27:17,720 --> 00:27:19,840 Speaker 1: don't know what it's going to take. I don't know 447 00:27:19,880 --> 00:27:22,240 Speaker 1: what it's going to take. Um, we're going to figure 448 00:27:22,240 --> 00:27:25,399 Speaker 1: that out though, real soon. But here's Pelosi. She's asked 449 00:27:25,440 --> 00:27:30,359 Speaker 1: about statues and what needs to be done, as you know, 450 00:27:30,400 --> 00:27:34,120 Speaker 1: what is a good policy or how should we think 451 00:27:34,160 --> 00:27:37,640 Speaker 1: about the tearing down of statues? Here she is playclip one. 452 00:27:37,880 --> 00:27:40,800 Speaker 1: I don't again, the community doesn't want the statue there. 453 00:27:40,960 --> 00:27:44,840 Speaker 1: The statue shouldn't be there. It doesn't diminish my pride 454 00:27:44,840 --> 00:27:48,199 Speaker 1: in my Italian American heritage and the fact that it 455 00:27:48,320 --> 00:27:53,320 Speaker 1: was a country discovered by an Italian name bring Italian Americovaspucci. 456 00:27:53,920 --> 00:27:57,359 Speaker 1: So I have that pride, but I don't care that 457 00:27:57,440 --> 00:28:01,119 Speaker 1: much about statues. PLEA shouldn't have been done by a 458 00:28:01,119 --> 00:28:03,159 Speaker 1: commission or the city council, not a mob in the 459 00:28:03,200 --> 00:28:06,720 Speaker 1: middle of the night throwing it into the it's a 460 00:28:07,280 --> 00:28:10,560 Speaker 1: it is. I do think that from a safety standpoint, 461 00:28:11,480 --> 00:28:15,439 Speaker 1: it would be a good idea. She kind of just 462 00:28:15,560 --> 00:28:17,760 Speaker 1: muttered it there. I don't know if you really caught it, 463 00:28:18,040 --> 00:28:22,600 Speaker 1: but she said, people will do what they do. People 464 00:28:22,640 --> 00:28:26,520 Speaker 1: will do what they do. Wow, let them meet Cake 465 00:28:26,640 --> 00:28:29,760 Speaker 1: Nancy showing it's exactly who she is here. You're like, yeah, 466 00:28:29,920 --> 00:28:32,320 Speaker 1: let the rabble just destroyed things. That's what they're gonna do. 467 00:28:32,520 --> 00:28:36,080 Speaker 1: They're gonna destroy statues, rip them down. We're not gonna 468 00:28:36,080 --> 00:28:38,240 Speaker 1: tell them to stop. Come on, this is good for 469 00:28:38,280 --> 00:28:41,040 Speaker 1: Democrats right now. We got Republicans playing defense all the time. 470 00:28:41,680 --> 00:28:43,719 Speaker 1: Every moron can go on CN and be like, what 471 00:28:43,800 --> 00:28:46,560 Speaker 1: about Confederate statues. We're like, oh, yeah, you mean like 472 00:28:46,600 --> 00:28:51,080 Speaker 1: Gandhi and Christopher Columbus, those those traitors to the American ideal. Right, 473 00:28:51,160 --> 00:28:55,880 Speaker 1: It's just this is what you have, a complete absence 474 00:28:56,080 --> 00:29:02,240 Speaker 1: of of any seriousness on policy, on ways to get 475 00:29:02,240 --> 00:29:05,160 Speaker 1: the country moving in the right direction. Again, it's just 476 00:29:05,480 --> 00:29:08,800 Speaker 1: locked down, be miserable, be terrified, and let's all sit 477 00:29:08,840 --> 00:29:13,280 Speaker 1: around for more honestly pointless lectures from activists about how 478 00:29:13,360 --> 00:29:16,240 Speaker 1: racist America is. That's that's what the Democrats really stand 479 00:29:16,280 --> 00:29:19,640 Speaker 1: for right now. And the misery that people are going through, 480 00:29:19,920 --> 00:29:24,480 Speaker 1: the isolation, the destruction of businesses, the free fall that 481 00:29:24,560 --> 00:29:28,040 Speaker 1: some entire industries are in, the children who can't go 482 00:29:28,080 --> 00:29:30,680 Speaker 1: to school, the hopes and dreams of small businesses, of 483 00:29:30,720 --> 00:29:33,440 Speaker 1: business owners smashed. I don't care for any of that. Hey, 484 00:29:33,440 --> 00:29:36,520 Speaker 1: I'm more important stuff to think about. That's the Democrat approach. 485 00:29:36,520 --> 00:29:38,040 Speaker 1: That's why Nancy's like, Yeah, people are gonna do what 486 00:29:38,080 --> 00:29:40,440 Speaker 1: they do. They can throw down statutes, whatever, what are 487 00:29:40,440 --> 00:29:42,920 Speaker 1: you going to do about a Republicans? You know, last 488 00:29:42,960 --> 00:29:44,520 Speaker 1: week or so, we heard a lot of stuff from 489 00:29:44,520 --> 00:29:46,680 Speaker 1: TRUMPA but oh, we're gonna lock up the people that 490 00:29:46,720 --> 00:29:50,400 Speaker 1: are doing the statutes. Okay, we've seen less statues destroyed 491 00:29:50,560 --> 00:29:53,720 Speaker 1: this week, so maybe that's working from that angle. But 492 00:29:53,800 --> 00:30:01,480 Speaker 1: where's the counter narrative, where's the where's the the fire speech? 493 00:30:01,640 --> 00:30:05,240 Speaker 1: Not just from Trump, from the people around Trump, from 494 00:30:05,280 --> 00:30:07,880 Speaker 1: the Republican Party, I mean the Republican Party right now, 495 00:30:07,920 --> 00:30:10,000 Speaker 1: it just looks like it's it's it's like it has 496 00:30:10,040 --> 00:30:15,080 Speaker 1: been neutered. It's like no one has any backbone, no 497 00:30:15,160 --> 00:30:18,120 Speaker 1: one has any willingness to get into the fight right now. 498 00:30:18,360 --> 00:30:20,240 Speaker 1: I don't know, I don't know how else to say it, 499 00:30:21,000 --> 00:30:24,040 Speaker 1: you know, or you see these a lot of senators 500 00:30:24,080 --> 00:30:26,120 Speaker 1: have time to do podcasts. I'm seeing these days, a 501 00:30:26,160 --> 00:30:28,760 Speaker 1: lot of people in Congress are like building their media brands. 502 00:30:30,240 --> 00:30:32,160 Speaker 1: How about getting in the fight, guys, how about say 503 00:30:32,240 --> 00:30:35,200 Speaker 1: that Black Lives Matter isn't going to make anyone's lives 504 00:30:35,440 --> 00:30:41,040 Speaker 1: better right now? How about making that case publicly Republicans, 505 00:30:41,600 --> 00:30:44,320 Speaker 1: how about it's going to be bad for minority communities 506 00:30:44,320 --> 00:30:47,560 Speaker 1: because they'll be less police presence, which means people are 507 00:30:47,640 --> 00:30:50,880 Speaker 1: less safe. People will die, they'll be attacked, real estate 508 00:30:50,960 --> 00:30:54,000 Speaker 1: values will go down. The tax base is fleeing from cities. 509 00:30:54,200 --> 00:30:57,560 Speaker 1: Cities can only exist if they have high taxes to 510 00:30:57,600 --> 00:31:01,400 Speaker 1: prop up the welfare state that the city operates, not 511 00:31:01,440 --> 00:31:04,320 Speaker 1: just the federal government, and also all the city jobs 512 00:31:04,320 --> 00:31:07,280 Speaker 1: and all the services. This is going to be bad 513 00:31:07,440 --> 00:31:10,560 Speaker 1: for everybody. It's gonna be bad for minority communities too. 514 00:31:10,640 --> 00:31:16,440 Speaker 1: Why aren't they making that case? And people, there's a 515 00:31:16,480 --> 00:31:18,240 Speaker 1: mentality out there. I see this is the Republicans and 516 00:31:18,480 --> 00:31:20,760 Speaker 1: watch it all burned down. It's not our problem, No, 517 00:31:20,880 --> 00:31:26,760 Speaker 1: it is. It is a problem because the suburbs, because 518 00:31:26,800 --> 00:31:30,040 Speaker 1: the rest of the country watch what's happening, and they 519 00:31:30,040 --> 00:31:33,120 Speaker 1: don't think, oh yeah, there's crazy Democrats. They're never gonna 520 00:31:33,120 --> 00:31:35,560 Speaker 1: win again. They think, what the heck are the Republicans doing. 521 00:31:36,280 --> 00:31:40,360 Speaker 1: Are those jokers even worth putting in charge? Why are 522 00:31:40,360 --> 00:31:42,320 Speaker 1: they in power if they can't do anything about this? 523 00:31:43,000 --> 00:31:45,360 Speaker 1: I mean, I don't see this. And anyone who views 524 00:31:45,480 --> 00:31:47,480 Speaker 1: what has been going on for the last six weeks 525 00:31:47,520 --> 00:31:50,200 Speaker 1: as good for Trump and good for the Republicans should 526 00:31:50,200 --> 00:31:53,040 Speaker 1: avoid thinking about politics very long because they're going to 527 00:31:53,120 --> 00:31:57,600 Speaker 1: hurt themselves. This is not good, and it's not good 528 00:31:57,600 --> 00:32:01,280 Speaker 1: because we do not we do not have a cohesive 529 00:32:01,760 --> 00:32:06,880 Speaker 1: response from the biggest voices, the biggest platformed Republicans out there. 530 00:32:07,080 --> 00:32:10,400 Speaker 1: It's always just, you know, everyone's relying on Trump. You know, 531 00:32:10,480 --> 00:32:12,760 Speaker 1: look what he did in twenty sixteen. Is he gonna 532 00:32:12,800 --> 00:32:16,320 Speaker 1: do that again? Others need to rise up now, Others 533 00:32:16,360 --> 00:32:18,160 Speaker 1: need to take the fight either side. I'm telling you, 534 00:32:18,200 --> 00:32:20,280 Speaker 1: a lot of people are sitting on the sidelines. You know, 535 00:32:20,360 --> 00:32:23,760 Speaker 1: they just as long as they get reelected, you know, 536 00:32:23,920 --> 00:32:27,400 Speaker 1: as long as long as they can keep whatever privileged 537 00:32:27,480 --> 00:32:32,240 Speaker 1: perch they have in the conservative movement, not willing to 538 00:32:32,280 --> 00:32:34,880 Speaker 1: actually have the fight though, not willing to take a risk. 539 00:32:35,480 --> 00:32:38,720 Speaker 1: They're not wartime conservatives. We are not a wartime conservative 540 00:32:38,760 --> 00:32:42,520 Speaker 1: party right now. That's just the truth. It's not too late. 541 00:32:42,560 --> 00:32:46,960 Speaker 1: But are we going to turn it around. You're in 542 00:32:47,000 --> 00:32:58,680 Speaker 1: the Freedom Hunt. This is the Buck Sexton Show podcastle 543 00:32:58,960 --> 00:33:01,400 Speaker 1: and we won very decisively, and so they send it 544 00:33:01,440 --> 00:33:03,959 Speaker 1: into New York and then you know what's going on 545 00:33:04,000 --> 00:33:06,520 Speaker 1: in New York. Everyone's leaving. It turned out to be 546 00:33:06,560 --> 00:33:09,760 Speaker 1: a hellhole, and they better do something about it because 547 00:33:09,800 --> 00:33:12,440 Speaker 1: people are leaving New York. There is a political which 548 00:33:12,960 --> 00:33:16,800 Speaker 1: it just continues. It's from before I got here, when 549 00:33:16,920 --> 00:33:21,400 Speaker 1: Obama and Biden and everybody else was slanging my campaign illegally, 550 00:33:22,200 --> 00:33:26,360 Speaker 1: illegally slang on my campaign. And that's a very great crime. 551 00:33:26,400 --> 00:33:29,520 Speaker 1: It's the biggest political crime in the history of our country. 552 00:33:30,040 --> 00:33:33,640 Speaker 1: What the president is saying there is true. Everything that 553 00:33:33,680 --> 00:33:35,800 Speaker 1: he says there is true. It is the biggest political 554 00:33:35,880 --> 00:33:38,640 Speaker 1: crime in certainly my lifetime. I can't think of anything 555 00:33:38,680 --> 00:33:41,840 Speaker 1: else that from history really lines up with it. They 556 00:33:41,840 --> 00:33:45,400 Speaker 1: did spy in him, they did try a coup against him. 557 00:33:45,640 --> 00:33:49,560 Speaker 1: That's not going to win the election. And I've noticed 558 00:33:49,560 --> 00:33:53,400 Speaker 1: that there are a whole bunch of people in Conservative 559 00:33:53,760 --> 00:33:58,240 Speaker 1: Incorporated who have done very well with the whole oh 560 00:33:58,280 --> 00:34:00,520 Speaker 1: you know, Trump Russia staff, and they were really they're 561 00:34:00,560 --> 00:34:03,320 Speaker 1: really good fighters on that. But with Black Lives Matter, stuff. 562 00:34:03,320 --> 00:34:05,400 Speaker 1: They're much more. Oh, I don't really want to you know, 563 00:34:06,400 --> 00:34:08,399 Speaker 1: I don't really want to get into this fight as much. 564 00:34:08,520 --> 00:34:13,200 Speaker 1: This one can be risky. This one's risky talking about 565 00:34:13,800 --> 00:34:17,400 Speaker 1: you know, Papadopoulos and Russia and collusion and the Durham. 566 00:34:17,560 --> 00:34:20,080 Speaker 1: People that are like, oh, the Durham probe, the Durham probe. 567 00:34:20,160 --> 00:34:24,720 Speaker 1: I'm telling you it's not going to make a difference. 568 00:34:24,760 --> 00:34:26,719 Speaker 1: I even know people are writing writing in last night 569 00:34:26,760 --> 00:34:29,239 Speaker 1: at a minute, I'm telling you it's not going to 570 00:34:29,280 --> 00:34:32,880 Speaker 1: make a difference. If someone goes to prison because of 571 00:34:32,880 --> 00:34:35,880 Speaker 1: the Durham probe, it'll be some clown in the DJ 572 00:34:36,080 --> 00:34:39,400 Speaker 1: you'd never heard of before. I'm telling bank on it, 573 00:34:39,680 --> 00:34:41,239 Speaker 1: you know, if someone if there's a way I could 574 00:34:41,280 --> 00:34:44,319 Speaker 1: place bets in Vegas on this. So don't think that 575 00:34:44,320 --> 00:34:47,040 Speaker 1: that's going to save us. And talking about how we 576 00:34:47,080 --> 00:34:49,439 Speaker 1: were right all the time with Maula, we were right. Yeah, 577 00:34:49,440 --> 00:34:51,319 Speaker 1: we have to push back against the false narrative when 578 00:34:51,360 --> 00:34:54,840 Speaker 1: they try to use Russia against Trump, which they're already 579 00:34:54,840 --> 00:34:57,359 Speaker 1: doing with a Russia bounty with the Taliban. I mean, 580 00:34:57,360 --> 00:35:03,320 Speaker 1: it's just craziness. There are people that you know, they've 581 00:35:03,320 --> 00:35:06,440 Speaker 1: basically been one trick ponies in conservative media for three 582 00:35:06,520 --> 00:35:08,640 Speaker 1: years now with the Russia Trump collision, they that's all 583 00:35:08,640 --> 00:35:15,320 Speaker 1: they've talked about. And now we need real philosophical responses, 584 00:35:15,400 --> 00:35:21,319 Speaker 1: real political counterpunches to this left wing mobilization. And I'm 585 00:35:21,320 --> 00:35:24,960 Speaker 1: looking around. I'm saying, you know, I know there are there's, Tucker, 586 00:35:25,080 --> 00:35:28,160 Speaker 1: there are some people are doing up, of course, but 587 00:35:28,600 --> 00:35:31,480 Speaker 1: if we're doing it enough, we wouldn't be losing right now. 588 00:35:31,560 --> 00:35:33,160 Speaker 1: And I'm the one who said to you, what over 589 00:35:33,200 --> 00:35:36,720 Speaker 1: a month ago, we're losing right now. That hasn't changed yet. 590 00:35:37,520 --> 00:35:39,560 Speaker 1: That has not changed yet. So I'm not trying to 591 00:35:39,600 --> 00:35:41,719 Speaker 1: bump people out. Love some fun and talk about, you know, 592 00:35:42,040 --> 00:35:44,400 Speaker 1: more entertaining things later on the show. But I do 593 00:35:44,440 --> 00:35:47,080 Speaker 1: think that it's important to be honest about this because 594 00:35:47,080 --> 00:35:48,719 Speaker 1: we all have a role to play. We all have 595 00:35:48,760 --> 00:35:52,080 Speaker 1: a part in this fight at the local, at the state, 596 00:35:52,160 --> 00:35:54,759 Speaker 1: and at the national level. Do whatever we can. You 597 00:35:54,880 --> 00:35:57,680 Speaker 1: got to determine what that is. Thanks for listening to 598 00:35:57,719 --> 00:36:01,000 Speaker 1: the Buses and Show podcast from member to subscribe on 599 00:36:01,080 --> 00:36:05,359 Speaker 1: Apple Podcasts, the iHeartRadio app, or wherever you get your podcasts. 600 00:36:06,520 --> 00:36:09,760 Speaker 1: I see here. Earlier today there was a Trump tweet. 601 00:36:10,280 --> 00:36:14,480 Speaker 1: I'm talking about how we fight back, how we mobilize 602 00:36:14,480 --> 00:36:16,880 Speaker 1: our own side, our own arguments. So we show people 603 00:36:16,880 --> 00:36:19,719 Speaker 1: that if they actually go through the steps, assuming we're 604 00:36:19,719 --> 00:36:21,440 Speaker 1: not going to have manil in voting across the country, 605 00:36:21,440 --> 00:36:23,839 Speaker 1: which who knows at this point, but assuming that we 606 00:36:24,719 --> 00:36:28,359 Speaker 1: have an election that's normal, that it's worth with them 607 00:36:28,360 --> 00:36:31,439 Speaker 1: to actually show up and vote for Republicans. Remember, there's 608 00:36:31,480 --> 00:36:34,520 Speaker 1: there's a whole lot of ways that this whole thing 609 00:36:34,560 --> 00:36:36,680 Speaker 1: can shake out this fall. And if people believe that 610 00:36:36,719 --> 00:36:38,840 Speaker 1: it's just not worth the effort to vote for Republicans, 611 00:36:38,840 --> 00:36:41,399 Speaker 1: and that's a very a very good way, a very 612 00:36:43,480 --> 00:36:46,840 Speaker 1: you know, that's a very clear path for us to lose. 613 00:36:47,640 --> 00:36:51,680 Speaker 1: Trump tweeted out this, too many universities in school systems 614 00:36:51,719 --> 00:36:56,399 Speaker 1: are about radical left indoctrination, not education. Therefore, I am 615 00:36:56,440 --> 00:36:59,160 Speaker 1: telling the Treasury Department to re examine their tax exempt 616 00:36:59,239 --> 00:37:02,560 Speaker 1: status and or function and or funding which will be 617 00:37:02,600 --> 00:37:06,040 Speaker 1: taken away if this propaganda or act against public policy continues. 618 00:37:06,400 --> 00:37:10,600 Speaker 1: Our children must be educated, not indoctrinated. Some of you're 619 00:37:10,600 --> 00:37:14,880 Speaker 1: gonna hear that, you're gonna say, Okay, good, No guys, no, no, no, 620 00:37:16,280 --> 00:37:18,680 Speaker 1: it's not gonna happen. First of all, again I tell 621 00:37:18,719 --> 00:37:23,200 Speaker 1: you it's not going to happen. Yeah, just certain things 622 00:37:23,239 --> 00:37:29,200 Speaker 1: are Yeah, certain things aren't going to occur. Certain things 623 00:37:29,239 --> 00:37:34,080 Speaker 1: aren't going to be in your future. Okay. The president 624 00:37:34,160 --> 00:37:36,480 Speaker 1: is not going to be able to pull the tax 625 00:37:36,600 --> 00:37:40,160 Speaker 1: exempt status of colleges and universities. It's certainly not going 626 00:37:40,200 --> 00:37:43,520 Speaker 1: to get done before the election. And now do I 627 00:37:43,560 --> 00:37:47,160 Speaker 1: think that they are left wing indoctrination centers? Yeah, but 628 00:37:47,680 --> 00:37:49,440 Speaker 1: how are you going to how are you going to 629 00:37:49,560 --> 00:37:54,879 Speaker 1: gauge that we've let the Democrat left take over all 630 00:37:54,880 --> 00:37:58,160 Speaker 1: of these institutions and now we think that the way 631 00:37:58,239 --> 00:38:01,120 Speaker 1: to win the MAC is through act of government regulation. 632 00:38:01,239 --> 00:38:02,799 Speaker 1: Let me tell you that is a sword that will 633 00:38:02,800 --> 00:38:06,560 Speaker 1: cut both ways very quickly, and the other side will 634 00:38:06,640 --> 00:38:11,879 Speaker 1: use it much more ruthlessly than we will. So this 635 00:38:11,960 --> 00:38:17,200 Speaker 1: is this is a distraction again, a distraction. You know, 636 00:38:17,239 --> 00:38:19,040 Speaker 1: where are the people out there who are willing to 637 00:38:19,080 --> 00:38:22,200 Speaker 1: make the case about the trade offs that we need 638 00:38:22,200 --> 00:38:24,719 Speaker 1: to be prepared for as a society when it comes 639 00:38:24,760 --> 00:38:28,560 Speaker 1: to handling COVID. I look at me, you know fine, 640 00:38:28,600 --> 00:38:32,560 Speaker 1: I'm just I've told you about my frustrations today, so 641 00:38:32,680 --> 00:38:34,879 Speaker 1: you know, well we're gonna let's just well wise into 642 00:38:34,920 --> 00:38:36,480 Speaker 1: now some other We've got some other things I wanted 643 00:38:36,520 --> 00:38:38,160 Speaker 1: to get into and talk about. I don't want to 644 00:38:38,160 --> 00:38:42,680 Speaker 1: make this me getting just getting angry about the state 645 00:38:42,719 --> 00:38:45,120 Speaker 1: of the GOP and quite honest with the state of 646 00:38:45,160 --> 00:38:47,920 Speaker 1: the Trump campaign right now. The Trump campaign looks anemic, 647 00:38:48,880 --> 00:38:54,080 Speaker 1: but we're told, oh, just keep going with it. M schools, schools, 648 00:38:54,160 --> 00:38:56,239 Speaker 1: How are the schools We're gonna We're gonna be fine, guys. 649 00:38:56,280 --> 00:39:00,880 Speaker 1: I'm an optimist. Don't worry about everything's yeah, you can 650 00:39:00,920 --> 00:39:02,840 Speaker 1: eat some red meat, drink some alcohol, and hope that 651 00:39:02,880 --> 00:39:06,320 Speaker 1: Monday the country will still be in one piece. Schools 652 00:39:06,320 --> 00:39:10,000 Speaker 1: are gonna maybe reopen in some places, not another's half 653 00:39:10,040 --> 00:39:17,359 Speaker 1: reopen in New York. That's classic. We have Pelosi out 654 00:39:17,400 --> 00:39:21,120 Speaker 1: there saying that it's a risk to children. Play fourteen. 655 00:39:22,840 --> 00:39:28,160 Speaker 1: The Secretary of Educations indicated that children should go to school. 656 00:39:28,160 --> 00:39:30,920 Speaker 1: They have to take risks. Everybody takes risk. Take risk 657 00:39:30,960 --> 00:39:34,000 Speaker 1: to ride a bicycle, to be an astronaut, there's risk. 658 00:39:34,320 --> 00:39:36,480 Speaker 1: You have to take risk. No, we don't want our 659 00:39:36,560 --> 00:39:40,080 Speaker 1: children to take risk to go to school. We're supposed 660 00:39:40,120 --> 00:39:44,400 Speaker 1: to mitigate for any damage. We're supposed to keep them safe. 661 00:39:45,360 --> 00:39:48,160 Speaker 1: So with stiff competition, that was one of the most 662 00:39:48,239 --> 00:39:52,359 Speaker 1: ill informed stave, but stiff competition though in this administration 663 00:39:52,680 --> 00:39:56,799 Speaker 1: on this and other subject, this is the soft underbelly, 664 00:39:56,880 --> 00:40:00,399 Speaker 1: for example, of the big Democrat arguments out there right now, 665 00:40:00,960 --> 00:40:06,480 Speaker 1: Pelosi sounded for a moment she had where four glasses 666 00:40:06,480 --> 00:40:10,080 Speaker 1: of savignon blanc. No, Pelosi sounded like she was going 667 00:40:10,120 --> 00:40:13,960 Speaker 1: to say something sane and reasonable. You know, there are 668 00:40:14,040 --> 00:40:16,439 Speaker 1: risks in everything. There are risks in riding up, Yes, 669 00:40:17,360 --> 00:40:20,880 Speaker 1: that is life, that is true. There are risks in 670 00:40:21,120 --> 00:40:23,880 Speaker 1: all activities. There are risks in getting up out of 671 00:40:23,880 --> 00:40:26,200 Speaker 1: bed and leaving your home. There are risks and staying 672 00:40:26,200 --> 00:40:31,080 Speaker 1: in your home. But notice Pelosi sets that up like, no, 673 00:40:32,040 --> 00:40:35,919 Speaker 1: that's the crazy position. We need to create a risk 674 00:40:36,040 --> 00:40:39,160 Speaker 1: free environment in schools when it comes to a pandemic 675 00:40:39,960 --> 00:40:42,680 Speaker 1: that is out there that has already been shown to 676 00:40:42,800 --> 00:40:50,680 Speaker 1: be essentially zero risk to children. Fact, the flu is 677 00:40:50,719 --> 00:40:53,879 Speaker 1: more dangerous to kids. Influenza is more dangerous to kids 678 00:40:53,920 --> 00:40:58,640 Speaker 1: than COVID nineteen fact science data. Do we shut down 679 00:40:58,640 --> 00:41:01,680 Speaker 1: all the schools because of the flu? No, we do not. 680 00:41:02,400 --> 00:41:04,640 Speaker 1: So to pretend that this is about risk to kids 681 00:41:05,360 --> 00:41:10,640 Speaker 1: is a lie. It's a lie. I'm glad at least 682 00:41:10,640 --> 00:41:13,359 Speaker 1: the president is strong on this. I'm giving credit where 683 00:41:13,360 --> 00:41:15,600 Speaker 1: it's due. He's been making the case this week about 684 00:41:15,600 --> 00:41:19,440 Speaker 1: how we got to open up schools here. He is 685 00:41:19,560 --> 00:41:24,719 Speaker 1: play sixteen, but the young of the healthy to safely 686 00:41:24,800 --> 00:41:29,640 Speaker 1: return to work into school. We have to open our schools, 687 00:41:30,080 --> 00:41:37,880 Speaker 1: open our schools. Stop this nonsense. We open our schools. Germany, Norway, 688 00:41:38,680 --> 00:41:42,680 Speaker 1: so many countries right now they're open. The schools are 689 00:41:42,719 --> 00:41:45,440 Speaker 1: open and they're doing just fine, and they're opening in 690 00:41:45,480 --> 00:41:50,840 Speaker 1: the fall. So we have to get our schools open. Denmark, Sweden. 691 00:41:51,480 --> 00:41:54,960 Speaker 1: We have to get our schools open and stop this 692 00:41:55,080 --> 00:42:01,000 Speaker 1: political nonsense. That's what it is, political nonsense, and everyone 693 00:42:01,160 --> 00:42:04,920 Speaker 1: everyone knows it, right, but people are so entrenched in this, 694 00:42:05,320 --> 00:42:08,600 Speaker 1: you know. It was very interesting. I saw I forget 695 00:42:08,680 --> 00:42:11,680 Speaker 1: actually the guy's name, but I saw a liberal, a 696 00:42:11,800 --> 00:42:15,719 Speaker 1: sort of a liberal journalist on Twitter who who is 697 00:42:16,200 --> 00:42:18,120 Speaker 1: one of these guys who calls out the instant and 698 00:42:18,200 --> 00:42:21,200 Speaker 1: the left, and he said that the real breaking point 699 00:42:21,600 --> 00:42:24,840 Speaker 1: and I'll say this the breaking well, the breaking point 700 00:42:24,880 --> 00:42:28,000 Speaker 1: for me with we need to be wartime conservatives and 701 00:42:28,080 --> 00:42:30,520 Speaker 1: we need to really understand what the other side's all about. 702 00:42:31,280 --> 00:42:35,799 Speaker 1: Was Capita. Actually I still that was when I realized 703 00:42:36,239 --> 00:42:41,080 Speaker 1: that leftism in America, that the Democrat Party has largely 704 00:42:41,160 --> 00:42:49,840 Speaker 1: embraced a kind of personal destruction politics and an immorality 705 00:42:50,520 --> 00:42:54,359 Speaker 1: and just a lack of decency and dignity in the 706 00:42:54,440 --> 00:42:57,520 Speaker 1: way that they pursue power. That they must be stopped. 707 00:42:58,320 --> 00:43:00,319 Speaker 1: It's not just they have their way, we have our way. 708 00:43:00,360 --> 00:43:02,719 Speaker 1: We have to do everything possible to prevent them from 709 00:43:02,719 --> 00:43:05,640 Speaker 1: being able to inflict their lunacy and their evil on 710 00:43:05,719 --> 00:43:07,759 Speaker 1: the rest of the country. Because what they did to 711 00:43:07,800 --> 00:43:11,360 Speaker 1: Cavanaugh was evil. It was it was not that wasn't political, 712 00:43:11,719 --> 00:43:16,319 Speaker 1: that was grotesque, it was wrong, it was it was 713 00:43:16,360 --> 00:43:19,640 Speaker 1: really the psychological and really it was like the torture 714 00:43:19,719 --> 00:43:23,880 Speaker 1: of a human being soul televised for the entire country. Lies. 715 00:43:24,280 --> 00:43:27,040 Speaker 1: It was all lies, and they went along with the 716 00:43:27,239 --> 00:43:30,080 Speaker 1: Democrats senators and all the media and the cowards at 717 00:43:30,120 --> 00:43:33,200 Speaker 1: CNN and the morons and MSNBC, they all went along 718 00:43:33,200 --> 00:43:38,040 Speaker 1: with it. For this A Jesse Single I believe is 719 00:43:38,080 --> 00:43:40,600 Speaker 1: the guy's name. Actually I don't know him, know nothing 720 00:43:40,600 --> 00:43:42,799 Speaker 1: about him. I just I saw his uh, I saw 721 00:43:42,880 --> 00:43:46,120 Speaker 1: his thing on Twitter and he said that for him. 722 00:43:47,320 --> 00:43:50,560 Speaker 1: There there was a real break with liberal journalists when 723 00:43:50,880 --> 00:43:55,200 Speaker 1: the Covington remember the Covington story came out, and you know, 724 00:43:55,239 --> 00:43:57,839 Speaker 1: Covington Catholic High School fro Kentucky. The boys are at 725 00:43:57,880 --> 00:44:03,640 Speaker 1: the LinkedIn memorial. Baby wasn't in Washington, d C. And 726 00:44:04,680 --> 00:44:11,600 Speaker 1: we're told that the Covington kids were being racist, right, 727 00:44:11,719 --> 00:44:14,520 Speaker 1: they were being racist, and they were they were antagonizing 728 00:44:14,880 --> 00:44:18,280 Speaker 1: a Native American activist and elder and it was so racist. 729 00:44:18,320 --> 00:44:21,120 Speaker 1: And you know, adults, people like Reza Oslin, who's a 730 00:44:21,160 --> 00:44:24,760 Speaker 1: disgusting little turdu They said, you know, he should be punched. 731 00:44:24,760 --> 00:44:27,319 Speaker 1: The kid should be punched in the face. And then 732 00:44:27,360 --> 00:44:31,399 Speaker 1: the full video came out showing that the adults went 733 00:44:31,520 --> 00:44:34,719 Speaker 1: up to the kids and antagonized the kids, and the 734 00:44:34,800 --> 00:44:38,839 Speaker 1: kids didn't do anything. And thank god, Nicholas Sandman sued 735 00:44:38,880 --> 00:44:42,719 Speaker 1: seeing and I hope, I hope he is, uh, you know, 736 00:44:42,920 --> 00:44:46,000 Speaker 1: going swimming in a vault of gold coins after school 737 00:44:46,040 --> 00:44:49,719 Speaker 1: every day courtesy of Jeff Zucker and the rest of 738 00:44:49,760 --> 00:44:57,000 Speaker 1: the CNN disgraces. But what was so interesting is when 739 00:44:57,080 --> 00:45:00,279 Speaker 1: Jesse single pointed out that even when the video came 740 00:45:00,320 --> 00:45:05,759 Speaker 1: out and it showed you exactly what happened, there's no 741 00:45:05,920 --> 00:45:10,520 Speaker 1: dispute about what happened. You can see the whole thing unfold. 742 00:45:10,880 --> 00:45:14,200 Speaker 1: You got audio, you got video, the lead up to it, 743 00:45:14,320 --> 00:45:16,480 Speaker 1: everything is there. You watch the whole thing. So they're 744 00:45:16,480 --> 00:45:19,200 Speaker 1: still liberal journalists who are like, no, still racist, the 745 00:45:19,280 --> 00:45:26,000 Speaker 1: kids are still racist. It didn't matter. Liberalism And I 746 00:45:26,040 --> 00:45:28,360 Speaker 1: hate that term for it, and that's why I say leftism. 747 00:45:28,400 --> 00:45:33,680 Speaker 1: But the the we need better words to describe who 748 00:45:33,760 --> 00:45:37,120 Speaker 1: they are and what they are on the left, we 749 00:45:37,200 --> 00:45:40,400 Speaker 1: need better terms to use for them. I mean, they're democrats, 750 00:45:40,400 --> 00:45:42,000 Speaker 1: and maybe that's just we just need to always say 751 00:45:42,040 --> 00:45:44,080 Speaker 1: these are democrats that are doing These are democrats that 752 00:45:44,120 --> 00:45:50,880 Speaker 1: are under undermining and really destroying foundational principles of our society. 753 00:45:50,920 --> 00:45:55,040 Speaker 1: It's all. It's democrats who are doing this. But they're 754 00:45:55,120 --> 00:45:59,799 Speaker 1: in a post fact reality now. It doesn't matter. They 755 00:46:00,160 --> 00:46:04,840 Speaker 1: make a claim, the claim will be proven demonstrably clearly false. 756 00:46:05,600 --> 00:46:09,440 Speaker 1: Doesn't matter, doesn't matter, and as long as it was 757 00:46:09,480 --> 00:46:12,480 Speaker 1: successful for the purposes of the left at the time, 758 00:46:12,600 --> 00:46:16,759 Speaker 1: it is actually praiseworthy. And this guy, a single I 759 00:46:16,840 --> 00:46:19,240 Speaker 1: thought it was so interesting that he says they watched 760 00:46:19,239 --> 00:46:21,600 Speaker 1: the video, he knew people in journalistma watch that this 761 00:46:21,640 --> 00:46:24,719 Speaker 1: was all on Twitter. He wrote this, and it didn't matter. 762 00:46:25,200 --> 00:46:28,279 Speaker 1: It didn't matter, and that's where we are now, right. 763 00:46:28,400 --> 00:46:30,759 Speaker 1: This is how you get journalists who will be like, well, 764 00:46:30,800 --> 00:46:33,840 Speaker 1: I'm not a mostly peaceful oh you know, protests and 765 00:46:33,840 --> 00:46:36,879 Speaker 1: they got hit in the head with a rock because 766 00:46:37,080 --> 00:46:40,840 Speaker 1: the truth that doesn't matter. They're trying to create a 767 00:46:40,920 --> 00:46:44,279 Speaker 1: perception of the country of what's happening that is in 768 00:46:44,360 --> 00:46:48,880 Speaker 1: line with a narrative that benefits them individually and benefits 769 00:46:48,880 --> 00:46:51,480 Speaker 1: their view of what life could be if only people 770 00:46:51,520 --> 00:46:56,319 Speaker 1: all believe the lies. That's what we're up against. So 771 00:46:56,520 --> 00:46:58,120 Speaker 1: it is very challenging, and I know I've been a 772 00:46:58,160 --> 00:47:00,680 Speaker 1: little harder on the President in the campaign recently, saying 773 00:47:00,680 --> 00:47:03,080 Speaker 1: where's the counter message, where's the counter meassage. It's not 774 00:47:03,200 --> 00:47:06,280 Speaker 1: easy and it's gonna take a lot. And I'm hoping 775 00:47:06,320 --> 00:47:09,839 Speaker 1: the rally in New Hampshire, although I'm seeing it might 776 00:47:09,840 --> 00:47:13,360 Speaker 1: be delayed because of whether I'm hoping that that is 777 00:47:14,560 --> 00:47:19,560 Speaker 1: a really important and powerful moment of further you know, 778 00:47:19,560 --> 00:47:21,560 Speaker 1: I keep using s term mobilization, but that's really what 779 00:47:21,600 --> 00:47:24,160 Speaker 1: it is. People get energized, people feel like, hold on 780 00:47:24,200 --> 00:47:26,960 Speaker 1: a second, there's something here. You've felt that energy in 781 00:47:27,000 --> 00:47:31,080 Speaker 1: twenty sixteen, every rally, every Trump's speech, every time Trump 782 00:47:31,200 --> 00:47:34,279 Speaker 1: was on TV and his supporters and they will walk 783 00:47:34,320 --> 00:47:36,760 Speaker 1: around these maga hats on. They're like, Oh, it's coming. 784 00:47:36,960 --> 00:47:38,920 Speaker 1: And a lot of you in this audience knew and 785 00:47:38,920 --> 00:47:40,360 Speaker 1: you were telling me, and I was like, really, you 786 00:47:40,440 --> 00:47:42,359 Speaker 1: think this guy can win? You were like, you're darn right, 787 00:47:42,440 --> 00:47:45,080 Speaker 1: he can win. Buck, I'm guaranteeing you he's gonna win. 788 00:47:45,360 --> 00:47:49,080 Speaker 1: You saw it. Where is that? How do we recapture that? 789 00:47:49,080 --> 00:47:50,960 Speaker 1: How do we get that back? That's what we have 790 00:47:51,080 --> 00:47:55,440 Speaker 1: to do. If that doesn't happen, we lose, and these 791 00:47:56,000 --> 00:48:02,200 Speaker 1: complete and utter lunatics we'll be running the country. I mean, 792 00:48:02,280 --> 00:48:04,920 Speaker 1: Joe Biden's policy document that came out that was written 793 00:48:04,960 --> 00:48:07,960 Speaker 1: by the left wing radicals of his party makes it 794 00:48:08,080 --> 00:48:11,520 Speaker 1: very clear what we're in for. All they have to do, 795 00:48:11,600 --> 00:48:13,440 Speaker 1: just just to give you a sense of the stakes, 796 00:48:13,480 --> 00:48:19,640 Speaker 1: all they have to do is yeah, an amnesty and 797 00:48:19,640 --> 00:48:23,640 Speaker 1: it's all over. Then then it'll be conservatism will be 798 00:48:23,680 --> 00:48:29,920 Speaker 1: this this ideology that's kind of almost a historical you know, 799 00:48:30,160 --> 00:48:32,200 Speaker 1: it will be an anachronism. It'll be something like, oh, 800 00:48:32,239 --> 00:48:34,480 Speaker 1: that's cute. It'll be like libertarians are today. You know, 801 00:48:34,680 --> 00:48:37,120 Speaker 1: we're all libertarians. You know, you guys are nice and all, 802 00:48:37,120 --> 00:48:39,960 Speaker 1: but pat on the head. You're never gonna have a president, 803 00:48:39,960 --> 00:48:42,200 Speaker 1: You're never gonna win any offices, you never have any power. 804 00:48:42,440 --> 00:48:46,040 Speaker 1: Great conservatism will be like that, and you'll just basically 805 00:48:46,080 --> 00:48:50,279 Speaker 1: have a one party state where the only fighting is 806 00:48:50,320 --> 00:48:54,480 Speaker 1: over how much Marxism there is, how deep and how 807 00:48:54,520 --> 00:48:57,560 Speaker 1: far reaching the identity politics are, what aspects of the 808 00:48:57,600 --> 00:49:02,440 Speaker 1: constitution are completely dispensed with. You know, that's what we're 809 00:49:02,480 --> 00:49:04,920 Speaker 1: That is what we're facing. I don't think there's any 810 00:49:04,960 --> 00:49:06,600 Speaker 1: I don't think there's really any question about it. And 811 00:49:08,400 --> 00:49:10,960 Speaker 1: people should understand that because right now, I think it's 812 00:49:11,000 --> 00:49:12,880 Speaker 1: easy to fall back and get a little complacent if 813 00:49:12,880 --> 00:49:15,160 Speaker 1: you're like, oh, but you know, is it really are 814 00:49:15,160 --> 00:49:18,920 Speaker 1: the stakes really that high? The Benz, do you like 815 00:49:19,080 --> 00:49:22,520 Speaker 1: living in a place where they disband the cops? Because 816 00:49:22,680 --> 00:49:25,680 Speaker 1: even those you who live in red states, guess what's 817 00:49:25,680 --> 00:49:28,360 Speaker 1: going to happen? You like living in a place where 818 00:49:28,840 --> 00:49:31,160 Speaker 1: you know the federal government comes in and says, yeah, no, 819 00:49:31,200 --> 00:49:34,400 Speaker 1: you're not allowed to have any guns. Guess what's gonna happen. 820 00:49:37,080 --> 00:49:39,919 Speaker 1: You're in the freedom hud. This is the Buck Sex 821 00:49:40,040 --> 00:49:48,040 Speaker 1: and Show podcast. I can hardly wait, I can hardly 822 00:49:49,200 --> 00:49:51,680 Speaker 1: feel with whether he refers themselves as a stable cheese. 823 00:49:52,440 --> 00:49:55,200 Speaker 1: I can hardly wait to debate. Do we think those 824 00:49:55,239 --> 00:49:58,719 Speaker 1: debates are even gonna happen? People ask me, and I say, 825 00:49:58,920 --> 00:50:01,520 Speaker 1: I don't know. I don't think anybody really knows. At 826 00:50:01,520 --> 00:50:04,520 Speaker 1: this point. You want to really, if you're a Democrat, 827 00:50:04,560 --> 00:50:09,359 Speaker 1: you're gonna expose Joe Biden to that, to being out 828 00:50:09,400 --> 00:50:11,000 Speaker 1: there in front of the whole world so that we 829 00:50:11,000 --> 00:50:16,239 Speaker 1: can all see him go er er er, oh the thing. 830 00:50:16,320 --> 00:50:20,040 Speaker 1: And then there's a there's a po mcgrantin on top 831 00:50:20,120 --> 00:50:22,600 Speaker 1: of the ship deck and then I came down and 832 00:50:22,719 --> 00:50:26,480 Speaker 1: I saw umbrella and it was going to the moon, 833 00:50:26,640 --> 00:50:30,200 Speaker 1: and you know, yeah, yeah, man vote for me and 834 00:50:30,320 --> 00:50:35,279 Speaker 1: president yeah or senator or whatever, chief dog catcher, who knows. 835 00:50:36,480 --> 00:50:38,359 Speaker 1: That's what they're thinking, that's what they're hoping to do. 836 00:50:38,880 --> 00:50:42,280 Speaker 1: I I wanted to note that there was a thread 837 00:50:42,320 --> 00:50:48,000 Speaker 1: here from Alex Barrenson. He's the he's the databased skeptic 838 00:50:48,040 --> 00:50:50,600 Speaker 1: of panic that we've had him on the show before. 839 00:50:51,160 --> 00:50:57,239 Speaker 1: Here's what he says about coronavirus in the Sunbelt. Particularly says, 840 00:50:57,280 --> 00:50:59,120 Speaker 1: let's talk about this is all from his thread. Let's 841 00:50:59,160 --> 00:51:01,799 Speaker 1: talk about the catastrophe the Sun Belt. Positive tests are 842 00:51:01,880 --> 00:51:05,560 Speaker 1: running high, hospitals are fuller but not full, and yes 843 00:51:05,680 --> 00:51:09,239 Speaker 1: now deaths have risen how much? Arizona, Florida, Texas, with 844 00:51:09,360 --> 00:51:13,840 Speaker 1: sixty million people, reported two hundred and forty two deaths 845 00:51:13,840 --> 00:51:16,880 Speaker 1: combined yesterday, which is down from two hundred and ninety 846 00:51:16,880 --> 00:51:20,480 Speaker 1: three the day before that. This number is not fully 847 00:51:20,480 --> 00:51:23,560 Speaker 1: comparable to the New York April figures because the epidemic 848 00:51:23,560 --> 00:51:25,319 Speaker 1: has gone on long enough that there is much more 849 00:51:25,360 --> 00:51:29,480 Speaker 1: backdating now, so current counts may be somewhat inflated, But 850 00:51:29,640 --> 00:51:31,799 Speaker 1: on its face, it translates into a death rate of 851 00:51:31,800 --> 00:51:35,800 Speaker 1: about ten percent of New York's peak days. Further, although 852 00:51:35,840 --> 00:51:38,360 Speaker 1: death's lag the sun Belt spike has now gone on 853 00:51:38,440 --> 00:51:40,759 Speaker 1: long enough that the pig should be making its way 854 00:51:40,760 --> 00:51:45,120 Speaker 1: through the python, it's quite an analogy. That is, deaths 855 00:51:45,160 --> 00:51:48,120 Speaker 1: typically occur fourteen to eighteen days after a positive test 856 00:51:48,440 --> 00:51:53,239 Speaker 1: and ten to fourteen days after hospitalization. In New York, 857 00:51:53,239 --> 00:51:56,920 Speaker 1: the gap was much shorter. In fact, after adjusting for 858 00:51:57,000 --> 00:52:00,759 Speaker 1: that two week lag. Florida and Texas are report relatively 859 00:52:00,920 --> 00:52:05,480 Speaker 1: low case fatality rates right now. Multiplying actual versus reported 860 00:52:05,520 --> 00:52:08,160 Speaker 1: cases by ten x. This is probably low, but they've 861 00:52:08,160 --> 00:52:11,200 Speaker 1: been testing heavily puts the IFR right in the point 862 00:52:11,200 --> 00:52:15,399 Speaker 1: two to point three percent we'd expect individual fatality rate 863 00:52:15,960 --> 00:52:20,799 Speaker 1: if as pserology studies have suggested the actual versus reported 864 00:52:20,920 --> 00:52:24,160 Speaker 1: rate is more like twenty x. For every positive test 865 00:52:24,200 --> 00:52:28,000 Speaker 1: twenty people have been infected, the infection fatality rate will 866 00:52:28,040 --> 00:52:31,120 Speaker 1: be even lower, possible treatments will have improved, or we 867 00:52:31,160 --> 00:52:35,000 Speaker 1: are protecting possible rather if treatments have improved, or we 868 00:52:35,040 --> 00:52:41,759 Speaker 1: are protecting nursing homes better. So that's just that's a 869 00:52:41,760 --> 00:52:45,040 Speaker 1: little bit of additional background here on what's really happening. 870 00:52:45,040 --> 00:52:48,400 Speaker 1: And as I've been saying, Okay, maybe we have hit 871 00:52:48,400 --> 00:52:50,600 Speaker 1: a spike in these places, but the virus is ripping 872 00:52:50,640 --> 00:52:54,200 Speaker 1: through and the virus will go down. It will, it 873 00:52:54,239 --> 00:52:58,200 Speaker 1: will go down. And what will happen, though, is if 874 00:52:58,239 --> 00:53:01,080 Speaker 1: we lock down before the virus on its own starts 875 00:53:01,080 --> 00:53:03,239 Speaker 1: to go down, which is what will happen as people 876 00:53:03,320 --> 00:53:06,080 Speaker 1: change their behaviors and take additional precautions on their own. 877 00:53:06,120 --> 00:53:10,799 Speaker 1: And but as that happens, they want the lockdown. So 878 00:53:10,840 --> 00:53:14,520 Speaker 1: then then it's oh, you know, they have to make 879 00:53:14,520 --> 00:53:17,880 Speaker 1: sure the lockdown occurs when the downslope of the cases 880 00:53:17,880 --> 00:53:20,360 Speaker 1: and the fatalities happens, because one, if it doesn't, then 881 00:53:20,360 --> 00:53:21,840 Speaker 1: people will say, well, why are we locking down if 882 00:53:21,840 --> 00:53:24,279 Speaker 1: this is happening anyway? And two, as long as they 883 00:53:24,320 --> 00:53:27,000 Speaker 1: get that going around the same time, and it really 884 00:53:27,040 --> 00:53:29,200 Speaker 1: is already happening in some of these states, Texas and others, 885 00:53:29,920 --> 00:53:31,960 Speaker 1: they can say, well, we don't want it to come back, 886 00:53:32,000 --> 00:53:33,920 Speaker 1: so we've got to stay in lockdown until the cases 887 00:53:33,960 --> 00:53:36,880 Speaker 1: go down to zero. Crush crush the virus, they say, 888 00:53:37,000 --> 00:53:39,719 Speaker 1: which was never really the strategy, that's never what was 889 00:53:39,760 --> 00:53:43,960 Speaker 1: agreed on. But that's what's going on. That's what they're 890 00:53:43,960 --> 00:53:46,960 Speaker 1: trying to do, and some of it is fear driven 891 00:53:46,960 --> 00:53:49,799 Speaker 1: and panic driven. You know what is Bill Nye, the 892 00:53:49,880 --> 00:53:51,600 Speaker 1: science guy have to say about this? I saw that 893 00:53:51,640 --> 00:53:58,320 Speaker 1: tweet today. Bill Nye has an undergraduate degree in mechanical engineering. 894 00:53:58,680 --> 00:54:02,040 Speaker 1: I don't give a crap with Bill Nye thinks about 895 00:54:02,160 --> 00:54:06,360 Speaker 1: SARS cove. Two. Thanks for listening to the Bus Sesson 896 00:54:06,440 --> 00:54:10,600 Speaker 1: Show podcast. Remember to subscribe on Apple podcast, the iHeart 897 00:54:10,680 --> 00:54:14,560 Speaker 1: Radio app, or wherever you get your podcasts. Can I 898 00:54:14,640 --> 00:54:17,520 Speaker 1: just take a quick bow folks on something not really 899 00:54:17,719 --> 00:54:19,640 Speaker 1: it's not bow worthy, I grace. I mean, you're like 900 00:54:19,640 --> 00:54:22,759 Speaker 1: boo Buck don't be that guy. Don't be that guy. 901 00:54:23,160 --> 00:54:25,960 Speaker 1: I'm the smartest, the best. You don't need to be 902 00:54:26,000 --> 00:54:28,279 Speaker 1: that guy. You wants to be a normal person who 903 00:54:28,440 --> 00:54:31,160 Speaker 1: understands that. You know, we're all we're all trying to 904 00:54:31,239 --> 00:54:34,279 Speaker 1: learn as we go, and everybody makes mistakes. But I 905 00:54:34,360 --> 00:54:38,359 Speaker 1: was right about what would happened with Judge Sullivan. Um, 906 00:54:38,560 --> 00:54:41,560 Speaker 1: what what would happened with Judge Sullivan in the FLYNT case. 907 00:54:42,080 --> 00:54:44,680 Speaker 1: It's come out today that he is delaying and wants 908 00:54:44,719 --> 00:54:47,959 Speaker 1: a full on bank or there will be a full 909 00:54:48,000 --> 00:54:50,560 Speaker 1: on bank review. I always say, like more French people 910 00:54:50,600 --> 00:54:54,239 Speaker 1: say end bank, I think, but that's happening because the 911 00:54:54,360 --> 00:54:59,319 Speaker 1: day that the initial appeals court ruling came down, sure enough, 912 00:54:59,520 --> 00:55:02,200 Speaker 1: I say this is good. But it's not over, folks, 913 00:55:02,280 --> 00:55:07,200 Speaker 1: because guess what he's going to demand an en bonk here. 914 00:55:07,520 --> 00:55:10,239 Speaker 1: He's gonna drag this out. They're never gonna let this go. 915 00:55:10,480 --> 00:55:13,200 Speaker 1: The deep state loons will never let this stuff go. 916 00:55:14,280 --> 00:55:17,920 Speaker 1: They're just gonna make it's clear what justice demands. Your 917 00:55:17,960 --> 00:55:20,600 Speaker 1: justice demands an apology for General Flynn. You know, a 918 00:55:20,680 --> 00:55:23,120 Speaker 1: check from the federal government for about ten million dollars 919 00:55:23,239 --> 00:55:25,720 Speaker 1: and we're so sorry, sir. This should have never happened 920 00:55:25,760 --> 00:55:30,319 Speaker 1: to you. Please accept our apologies. That's justice. No, no, no, 921 00:55:30,520 --> 00:55:33,879 Speaker 1: not this, not to this judge. He's decided that even 922 00:55:33,920 --> 00:55:36,080 Speaker 1: though an appeals court has already said he got to 923 00:55:36,160 --> 00:55:37,920 Speaker 1: end this trial, He's like, no, I want I want 924 00:55:37,960 --> 00:55:40,239 Speaker 1: the whole appeals court to hear this. I don't drag 925 00:55:40,320 --> 00:55:43,000 Speaker 1: us out a little more. It's it's stunning, But I 926 00:55:43,000 --> 00:55:46,400 Speaker 1: I the day of it. I actually have a I 927 00:55:46,520 --> 00:55:48,920 Speaker 1: have a written record of it. On Twitter when this 928 00:55:49,040 --> 00:55:54,560 Speaker 1: initially came out on the twenty fourth of June, I wrote, 929 00:55:54,680 --> 00:55:56,880 Speaker 1: very good news for Flynn and a big step for justice. 930 00:55:56,920 --> 00:55:59,560 Speaker 1: But it's not over. Judge Sullivan has come this far. 931 00:56:00,000 --> 00:56:02,319 Speaker 1: Why would he give up? He has no integrity or 932 00:56:02,320 --> 00:56:06,160 Speaker 1: impartiality to protect anymore. Stop thinking these deep state anti 933 00:56:06,200 --> 00:56:10,799 Speaker 1: trumpers are rational and fair. Prepare for on bunk. Guess 934 00:56:10,880 --> 00:56:13,839 Speaker 1: what was announced today for the last twenty four hours 935 00:56:13,840 --> 00:56:17,640 Speaker 1: on bunk. So I'm just saying, I'm just saying the 936 00:56:17,680 --> 00:56:20,200 Speaker 1: bucks the Buckster nailed that one. Do I get a 937 00:56:20,280 --> 00:56:22,880 Speaker 1: high five producer? Mark? Sure? Next time I see you 938 00:56:23,520 --> 00:56:25,799 Speaker 1: there we go? Thank you? Yeah? Which I feel like 939 00:56:25,800 --> 00:56:28,239 Speaker 1: it's been so long, you know, you could have grown 940 00:56:28,280 --> 00:56:30,759 Speaker 1: hair down the center of your back, be like have 941 00:56:30,840 --> 00:56:33,680 Speaker 1: a big beard, wearing tight eyed shirts now and all 942 00:56:33,719 --> 00:56:36,680 Speaker 1: the stuff. You know you're you're just I don't even know, man, 943 00:56:36,719 --> 00:56:39,920 Speaker 1: I haven't seen you forever. Yes, I'm actually a buff 944 00:56:40,280 --> 00:56:44,239 Speaker 1: with long hair. Now. Nice. No, that's a good job. Congrats. 945 00:56:45,239 --> 00:56:48,000 Speaker 1: So we're talking about Biden debating Trump. I don't I 946 00:56:48,080 --> 00:56:50,279 Speaker 1: think that this could go either way if they have 947 00:56:50,360 --> 00:56:52,959 Speaker 1: any excuse, If they think that that Biden's basically gonna 948 00:56:52,960 --> 00:56:55,200 Speaker 1: win and there's no need, why would they take the risk. 949 00:56:55,760 --> 00:56:57,520 Speaker 1: They don't want Biden to be there, like you know, 950 00:56:57,840 --> 00:57:00,120 Speaker 1: you know, same little chitmunk sitting on a bread and 951 00:57:00,239 --> 00:57:03,239 Speaker 1: cheating a lot of acorns on uncle's ranch. Step into 952 00:57:03,320 --> 00:57:07,319 Speaker 1: my office because I'm Joe Biden and it doesn't really 953 00:57:07,360 --> 00:57:10,040 Speaker 1: sound like that, but you get the idea. So that 954 00:57:10,040 --> 00:57:11,799 Speaker 1: that's one thing. Oh, some of you been asking me 955 00:57:11,800 --> 00:57:16,640 Speaker 1: about China stuff, and I have not been talking very 956 00:57:16,680 --> 00:57:19,200 Speaker 1: much about it. We got a few things here. One 957 00:57:19,560 --> 00:57:23,520 Speaker 1: is I sound a little bit like Cuomo there. Let's 958 00:57:23,520 --> 00:57:27,960 Speaker 1: talk about China. China is a place that's very large. 959 00:57:28,040 --> 00:57:29,960 Speaker 1: What do I mean by very large? I mean that 960 00:57:30,120 --> 00:57:34,280 Speaker 1: it's a country where Governor Cuomo is not in charge. 961 00:57:34,400 --> 00:57:38,160 Speaker 1: Why is he not in charge because it's technically a commune. Okay. 962 00:57:39,640 --> 00:57:44,840 Speaker 1: There was a border skirmish between some Chinese and Indian 963 00:57:45,000 --> 00:57:47,680 Speaker 1: soldiers recently, and from what I read of it, it 964 00:57:48,200 --> 00:57:51,680 Speaker 1: got so close quarters. This is way up at very 965 00:57:51,760 --> 00:57:54,320 Speaker 1: high elevation, but it got so close quarters that there 966 00:57:54,360 --> 00:57:57,760 Speaker 1: were clubs, it was hand to hand combat, and a 967 00:57:57,800 --> 00:58:00,400 Speaker 1: couple of dozen people were killed. So it is really 968 00:58:00,480 --> 00:58:03,680 Speaker 1: vicious and nasty. And now India is saying that they're 969 00:58:03,760 --> 00:58:07,440 Speaker 1: they're going to ban certain apps like TikTok. So oh, 970 00:58:07,520 --> 00:58:09,200 Speaker 1: now we're going to talk about we got well. Hold 971 00:58:09,240 --> 00:58:12,520 Speaker 1: on's first, let's deal. I'll get into the TikTok than 972 00:58:12,600 --> 00:58:15,560 Speaker 1: in a second. And it's not like TikTok TikTok that 973 00:58:15,600 --> 00:58:18,680 Speaker 1: you're hearing on the news about the election or anything 974 00:58:18,720 --> 00:58:23,120 Speaker 1: like that. Pompeo, here's what he said about China, just 975 00:58:23,160 --> 00:58:26,400 Speaker 1: as a general the Secretary of State play twenty incapable 976 00:58:26,400 --> 00:58:29,680 Speaker 1: will being transparent, of accepting criticism, of allowing reporters to 977 00:58:29,720 --> 00:58:33,000 Speaker 1: ask them questions that they find uncomfortable that elicit the 978 00:58:33,040 --> 00:58:36,480 Speaker 1: truth and the facts. We still have significant questions about 979 00:58:36,720 --> 00:58:41,800 Speaker 1: who patient zero was. Now six months on at least 980 00:58:42,120 --> 00:58:45,560 Speaker 1: from when this began the Chinese Communist Party. That authoritarian 981 00:58:45,600 --> 00:58:49,120 Speaker 1: model simply can't prevent the kind of inquiry or has 982 00:58:49,160 --> 00:58:51,520 Speaker 1: to prevent that kind of InCor because they're afraid. They're 983 00:58:51,560 --> 00:58:53,920 Speaker 1: afraid that the truth will be something that will not 984 00:58:54,040 --> 00:58:57,000 Speaker 1: shine a happy light on what took place, and so 985 00:58:57,080 --> 00:59:02,200 Speaker 1: instead they chose to hide and obfuscate and deny basic truth, 986 00:59:02,280 --> 00:59:06,560 Speaker 1: basic scientific truth about what took place. This is a 987 00:59:06,640 --> 00:59:09,400 Speaker 1: fundamental and fatal flaw for authoritarian regimes, and it's why 988 00:59:09,640 --> 00:59:13,600 Speaker 1: the Chinese Commist Party has to be held accountable. Yeah, 989 00:59:13,720 --> 00:59:16,200 Speaker 1: China is not being a good partner, to put it mildly, 990 00:59:16,400 --> 00:59:19,280 Speaker 1: on figuring out the whole chain of transmission from the 991 00:59:19,280 --> 00:59:22,280 Speaker 1: first person to now millions and millions of people around 992 00:59:22,280 --> 00:59:25,200 Speaker 1: the world with COVID nineteen, I think we will return 993 00:59:25,280 --> 00:59:29,440 Speaker 1: to the debates over whether this was in a lab 994 00:59:29,640 --> 00:59:33,520 Speaker 1: and perhaps tinkered with but not necessarily engineered from scratch 995 00:59:33,560 --> 00:59:36,600 Speaker 1: in a lab, versus whether it came from someone eating 996 00:59:37,200 --> 00:59:39,840 Speaker 1: bat or pangolin soup. I feel like I feel like 997 00:59:39,880 --> 00:59:43,120 Speaker 1: we settled on for that theory. It was supposed to 998 00:59:43,120 --> 00:59:45,320 Speaker 1: be pangolin and not bat, but then it was maybe 999 00:59:45,320 --> 00:59:48,480 Speaker 1: back to bat. Of all the soups producer Mark. I 1000 00:59:48,480 --> 00:59:51,960 Speaker 1: gotta say bat would be if I were having some 1001 00:59:52,120 --> 00:59:55,919 Speaker 1: form of rare animal soup, that would be like top 1002 00:59:56,000 --> 00:59:59,080 Speaker 1: five last animals that I would want to eat. Yeah, 1003 00:59:59,120 --> 01:00:00,600 Speaker 1: I agreate that. I don't I think I would ever 1004 01:00:00,640 --> 01:00:04,680 Speaker 1: cried bat soup, that's for sure. Yeah. And it always 1005 01:00:04,680 --> 01:00:06,560 Speaker 1: reminds me of that scene in Indiana Jones and the 1006 01:00:06,600 --> 01:00:09,919 Speaker 1: Temple of Doom, which I'm assuming you've seen right of course. Yeah, 1007 01:00:09,920 --> 01:00:11,760 Speaker 1: where they cut open the big bowl constrictor and it 1008 01:00:11,760 --> 01:00:16,440 Speaker 1: eats the baby snakes and uh man, that was I 1009 01:00:16,440 --> 01:00:19,280 Speaker 1: wouldn't And then they eat monkey monkey brains. I think 1010 01:00:19,320 --> 01:00:21,960 Speaker 1: i'd go monkey brains before. No, actually, I couldn't do that. 1011 01:00:22,200 --> 01:00:24,960 Speaker 1: I couldn't do that. Monkeys, monkeys. I like monkeys. I 1012 01:00:24,960 --> 01:00:28,360 Speaker 1: don't like eating weird stuff. I'm with you all that 1013 01:00:28,440 --> 01:00:31,120 Speaker 1: it's not worth it, you know. It's although gator does 1014 01:00:31,200 --> 01:00:33,520 Speaker 1: taste it is true. It's not a joke. Gator does 1015 01:00:33,600 --> 01:00:36,560 Speaker 1: kind of taste like chicken. It's like oily chicken. You're 1016 01:00:36,600 --> 01:00:38,640 Speaker 1: eating alligator. Before you go down to New Orleans. You 1017 01:00:38,640 --> 01:00:39,960 Speaker 1: can eat it pretty easily. They have it all over 1018 01:00:40,000 --> 01:00:44,880 Speaker 1: the place. Ostrich just tastes like like turkey. But tougher. 1019 01:00:44,960 --> 01:00:47,240 Speaker 1: I don't know. I'm not an Ostrich fan, so, but 1020 01:00:47,320 --> 01:00:49,480 Speaker 1: those are things that are normal to eat, right anyway, 1021 01:00:50,360 --> 01:00:51,920 Speaker 1: what are they talking about it? Oh? Yeah, so I 1022 01:00:51,920 --> 01:00:54,400 Speaker 1: eat bats. I was like, what are we telling that's soup? Sorry, 1023 01:00:54,440 --> 01:00:56,640 Speaker 1: I got a little bit off track there for a second. 1024 01:00:57,360 --> 01:00:59,160 Speaker 1: So we haven't been able to find out from the 1025 01:00:59,240 --> 01:01:02,320 Speaker 1: Chinese what's really going on with that, and they're never 1026 01:01:02,360 --> 01:01:05,880 Speaker 1: going to tell us because China is responsible for destroying 1027 01:01:05,920 --> 01:01:09,160 Speaker 1: the global economy pretty much, and trillions and trillions of 1028 01:01:09,160 --> 01:01:12,040 Speaker 1: dollars of wealth destroyed and ruined and lives ruined and 1029 01:01:12,040 --> 01:01:16,680 Speaker 1: people dying, and the amount of misery and despair that China's, 1030 01:01:17,080 --> 01:01:20,720 Speaker 1: China's dishonesty and an aptitude as has inflicted upon the 1031 01:01:20,720 --> 01:01:23,720 Speaker 1: whole world is something they'll never make amends for and 1032 01:01:23,760 --> 01:01:26,840 Speaker 1: they'll never admit. Remember, this is a country that pretends 1033 01:01:26,840 --> 01:01:28,960 Speaker 1: it didn't starve sixty million of its own people to 1034 01:01:29,000 --> 01:01:35,160 Speaker 1: death about fifty years ago. Okay, sixty million, folks, Mao's 1035 01:01:35,360 --> 01:01:38,400 Speaker 1: great leap forward. Yeah, sixty million, forty to sixty million. 1036 01:01:38,440 --> 01:01:42,040 Speaker 1: It's the estimate you usually see. So there's that, and 1037 01:01:42,080 --> 01:01:46,760 Speaker 1: then there's the continuing cyber espionage campaign against the US 1038 01:01:46,840 --> 01:01:50,800 Speaker 1: and against any global competitor that China has and this 1039 01:01:50,880 --> 01:01:54,680 Speaker 1: app called TikTok. Now, and I know this is from 1040 01:01:54,680 --> 01:01:58,920 Speaker 1: a counterintelligence perspective. All my friends from a CI world 1041 01:01:59,040 --> 01:02:01,960 Speaker 1: are going to grow and throw things at their speaker 1042 01:02:02,040 --> 01:02:04,320 Speaker 1: right now as they hear me say this. But yes, 1043 01:02:04,440 --> 01:02:06,440 Speaker 1: I do have TikTok on my phone. I wanted to. 1044 01:02:06,640 --> 01:02:08,360 Speaker 1: I thought I was a new and emerging platform. I 1045 01:02:08,360 --> 01:02:11,120 Speaker 1: thought I should understand it. Producer Mark, do you ever 1046 01:02:11,200 --> 01:02:14,920 Speaker 1: use it? Yes, I also have the app on my phone. Yeah. 1047 01:02:14,960 --> 01:02:18,720 Speaker 1: Apparently that means that Beijing can just see whatever whatever 1048 01:02:18,800 --> 01:02:22,640 Speaker 1: Producer Mark is texting missus Mark, I'm just saying, keep 1049 01:02:22,680 --> 01:02:25,560 Speaker 1: it clean because they can see everything. I don't know 1050 01:02:25,560 --> 01:02:27,160 Speaker 1: if that's really true or not. I don't think that's 1051 01:02:27,200 --> 01:02:31,000 Speaker 1: true either. That's as I know, it's not true. That's 1052 01:02:31,000 --> 01:02:33,720 Speaker 1: what everyone's afraid of. You're very quiet there for a second, though, 1053 01:02:34,680 --> 01:02:38,840 Speaker 1: So they're they're worried that the origins of the TikTok app, 1054 01:02:38,920 --> 01:02:44,600 Speaker 1: because it is a Chinese state backed entity there, that 1055 01:02:44,720 --> 01:02:48,040 Speaker 1: they are using this as a giant surveillance operation effectively. 1056 01:02:48,560 --> 01:02:53,840 Speaker 1: So here's Pompeo talking about that play nineteen with respect 1057 01:02:53,880 --> 01:02:56,400 Speaker 1: to TikTok. I want to put in the broader context, 1058 01:02:57,200 --> 01:03:00,760 Speaker 1: we have been engaged in a constant evaluation about ensuring 1059 01:03:00,800 --> 01:03:04,320 Speaker 1: that we protect the privacy of American citizens and their 1060 01:03:04,360 --> 01:03:08,040 Speaker 1: information as a transit. So this doesn't relate to any 1061 01:03:08,080 --> 01:03:12,400 Speaker 1: one particular business or company, but rather to American national security. 1062 01:03:13,000 --> 01:03:15,360 Speaker 1: We are striving to get that light. The comments that 1063 01:03:15,400 --> 01:03:18,400 Speaker 1: I made about a particular company earlier this week fall 1064 01:03:18,520 --> 01:03:21,480 Speaker 1: in the context of US evaluating the threat from the 1065 01:03:21,560 --> 01:03:25,240 Speaker 1: Chinese Communist Party. We've talked about in the context of Zte, 1066 01:03:25,280 --> 01:03:28,000 Speaker 1: We've talked about it, in the context of Huawei. We 1067 01:03:28,040 --> 01:03:32,120 Speaker 1: are now evaluating each instance where we believe that US 1068 01:03:32,200 --> 01:03:34,360 Speaker 1: citizens data that they have on their phones or in 1069 01:03:34,400 --> 01:03:37,520 Speaker 1: their system, or in their healthcare records. We want to 1070 01:03:37,520 --> 01:03:39,520 Speaker 1: make sure that the Chinese Communist Party doesn't have a 1071 01:03:39,560 --> 01:03:42,240 Speaker 1: way to easily access that. And so what you'll see 1072 01:03:42,240 --> 01:03:45,840 Speaker 1: the administration do is take actions that preserve and protect 1073 01:03:45,920 --> 01:03:49,360 Speaker 1: that information and deny the Chinese Communist Party access to 1074 01:03:49,400 --> 01:03:52,960 Speaker 1: the private information that belongs to Americans. Okay, I mean 1075 01:03:52,960 --> 01:03:55,920 Speaker 1: that all sounds reasonable, and at some point this degree 1076 01:03:55,920 --> 01:03:59,880 Speaker 1: of technical know how becomes something that you're just gonna yeah, 1077 01:04:00,320 --> 01:04:02,320 Speaker 1: trust the experts. Which is a scary thing to say 1078 01:04:02,360 --> 01:04:03,840 Speaker 1: these days. You know, they're saying you have to be 1079 01:04:03,880 --> 01:04:05,680 Speaker 1: worried about this. I'm just gonna tell you this though, 1080 01:04:05,960 --> 01:04:09,600 Speaker 1: TikTok is pretty addictive. They ever use a producer mark you, 1081 01:04:09,840 --> 01:04:11,840 Speaker 1: what do you think? Oh yeah, you can spend hours 1082 01:04:11,840 --> 01:04:15,760 Speaker 1: on it without even noticing that you spent hours hours. 1083 01:04:16,600 --> 01:04:22,919 Speaker 1: It combines the It combines the kind of curated video 1084 01:04:23,440 --> 01:04:28,560 Speaker 1: feeling of Netflix with the quick hit just scroll, scroll, scroll, 1085 01:04:28,600 --> 01:04:32,760 Speaker 1: scroll scroll of Instagram and you can just sit there 1086 01:04:32,840 --> 01:04:35,960 Speaker 1: and you'll just watch. I mean, I you know what 1087 01:04:36,280 --> 01:04:38,760 Speaker 1: I really love are the they make these short cooking 1088 01:04:38,840 --> 01:04:41,720 Speaker 1: videos where it's just like bing bang boom, and all 1089 01:04:41,720 --> 01:04:43,680 Speaker 1: of a sudden you've got everything you need done to 1090 01:04:43,760 --> 01:04:46,960 Speaker 1: make you know, fried chicken or to make you know, 1091 01:04:47,080 --> 01:04:50,840 Speaker 1: baked ZD or whatever, and it's just it's addictive. And 1092 01:04:50,880 --> 01:04:52,960 Speaker 1: there's also this other thing where they show you how 1093 01:04:53,000 --> 01:04:55,720 Speaker 1: to do a shuffle dance, which I have not yet 1094 01:04:55,800 --> 01:04:57,880 Speaker 1: learned to do, but it looks cool and I think 1095 01:04:57,920 --> 01:04:59,000 Speaker 1: I could do it. You know, do you ever see 1096 01:04:59,040 --> 01:05:01,600 Speaker 1: their shuffle dance video? There's a lot of them. Yeah, 1097 01:05:01,680 --> 01:05:04,720 Speaker 1: I'm partial to the dog videos, though there's some great 1098 01:05:04,760 --> 01:05:08,240 Speaker 1: dog Yeah, there's there's some great dog stuff. So there's 1099 01:05:08,240 --> 01:05:10,680 Speaker 1: good content on there, and I kind of want to 1100 01:05:10,680 --> 01:05:12,960 Speaker 1: start doing some from Freedom Hunt content on there, but 1101 01:05:13,000 --> 01:05:14,320 Speaker 1: not if we're going to be told that this is 1102 01:05:14,320 --> 01:05:19,120 Speaker 1: a communist Chinese spying apparatus. But I kind of wonder, 1103 01:05:19,160 --> 01:05:21,120 Speaker 1: I mean, unless they can get access to your phone, 1104 01:05:21,120 --> 01:05:24,800 Speaker 1: which I mean, they've got a whole lot of the 1105 01:05:24,800 --> 01:05:29,000 Speaker 1: technological capability that even goes beyond what Apple security could detect. 1106 01:05:29,040 --> 01:05:31,600 Speaker 1: And unless they can do that, I don't know what 1107 01:05:31,600 --> 01:05:33,080 Speaker 1: are they going to find out that I like dog 1108 01:05:33,160 --> 01:05:35,600 Speaker 1: videos and cooking videos and wish I could dance. I mean, 1109 01:05:35,640 --> 01:05:38,520 Speaker 1: what's the I don't really see the horror, but I 1110 01:05:38,600 --> 01:05:42,640 Speaker 1: know all my CEI friends bucket rounder five g wha way, Oh, 1111 01:05:42,640 --> 01:05:44,920 Speaker 1: they're all gonna get some amount of me. I know. Look, 1112 01:05:44,960 --> 01:05:46,680 Speaker 1: I'm the one who says that China's engaged in a 1113 01:05:46,760 --> 01:05:51,600 Speaker 1: civilization altering theft of intellectual property, technology and advancement over 1114 01:05:51,840 --> 01:05:55,120 Speaker 1: decades long, and that we're gonna wake up in I've 1115 01:05:55,160 --> 01:05:57,200 Speaker 1: been saying fifty it's probably more like ten or fifteen 1116 01:05:57,240 --> 01:05:59,520 Speaker 1: years and realize, okay, okay, so we're not actually ahead 1117 01:05:59,520 --> 01:06:02,440 Speaker 1: of China in anything anymore. That's what's gonna happen, and 1118 01:06:02,520 --> 01:06:05,520 Speaker 1: that's gonna be a not a good not a good moment, 1119 01:06:05,560 --> 01:06:09,760 Speaker 1: not a good realization for all of us. So we 1120 01:06:09,880 --> 01:06:12,880 Speaker 1: shall have Well, I'll have to see how of that 1121 01:06:13,680 --> 01:06:16,320 Speaker 1: shakes out. But I don't know. I kind of like TikTok. 1122 01:06:16,360 --> 01:06:18,680 Speaker 1: So you can all you I know, yell at me 1123 01:06:18,680 --> 01:06:20,720 Speaker 1: in the comments section, tell me how terrible I am 1124 01:06:20,760 --> 01:06:24,040 Speaker 1: for liking TikTok. But it's kind of fun, some groovy tunes. 1125 01:06:26,720 --> 01:06:29,720 Speaker 1: You're in the Freedom Hunt. This is the Buck Sexton 1126 01:06:29,760 --> 01:06:35,880 Speaker 1: Show podcast. All right, team, I want to introduce you 1127 01:06:35,960 --> 01:06:39,040 Speaker 1: to somebody who's up on the political scene now, and 1128 01:06:39,040 --> 01:06:41,400 Speaker 1: I think you're gonna be hearing a lot more from 1129 01:06:41,480 --> 01:06:45,400 Speaker 1: in the months and years. Hey, she's a candidate for 1130 01:06:45,680 --> 01:06:49,600 Speaker 1: Colorado's District, the third district out in the west of 1131 01:06:49,680 --> 01:06:53,280 Speaker 1: the state. Lauren Bobert joins us now. She's also a mom, 1132 01:06:53,320 --> 01:06:56,400 Speaker 1: a business owner. She just won her primary. Lauren, thanks 1133 01:06:56,400 --> 01:06:58,560 Speaker 1: for thanks for hanging out, Thanks so much for having 1134 01:06:58,600 --> 01:07:02,040 Speaker 1: me on today. You know, as a mom, I've never 1135 01:07:02,120 --> 01:07:06,760 Speaker 1: been a politician, but I am certainly a freedom loving patriot. Yes, 1136 01:07:07,240 --> 01:07:09,439 Speaker 1: tell us how things are going on Colorado, because there's 1137 01:07:09,440 --> 01:07:13,320 Speaker 1: so much focus right now on COVID and the economy 1138 01:07:13,320 --> 01:07:17,280 Speaker 1: and the reopen Colorado is actually doing pretty well from 1139 01:07:17,280 --> 01:07:19,240 Speaker 1: what I gather, But you tell us how are things 1140 01:07:19,240 --> 01:07:23,040 Speaker 1: going out there? Colorado is doing well, and I think 1141 01:07:23,040 --> 01:07:26,240 Speaker 1: it's time for us to reopen. I've been a champney, 1142 01:07:26,600 --> 01:07:31,720 Speaker 1: a champion for reopening small businesses for quite some time now. 1143 01:07:31,960 --> 01:07:35,440 Speaker 1: In my restaurant and Rightful Colorado, I actually took a 1144 01:07:35,440 --> 01:07:39,160 Speaker 1: stand against Governor Jared Pulls's tyrannical orders after he was 1145 01:07:39,240 --> 01:07:44,720 Speaker 1: extending his executive orders forcing small businesses to stay shut down, 1146 01:07:45,320 --> 01:07:48,560 Speaker 1: and I really took a stand against that and opened 1147 01:07:48,560 --> 01:07:52,400 Speaker 1: by restaurant. I followed government's guidelines. That's the proper role 1148 01:07:52,440 --> 01:07:55,440 Speaker 1: of government to inform us of the risk and then 1149 01:07:55,480 --> 01:07:59,720 Speaker 1: allow us to use our personal responsibility to choose if 1150 01:07:59,760 --> 01:08:01,400 Speaker 1: we want to take that risk or not. So I 1151 01:08:01,440 --> 01:08:05,280 Speaker 1: followed the CDC guidelines and I reopened my restaurant. Through that, 1152 01:08:05,440 --> 01:08:08,560 Speaker 1: I had a lot of elected officials coming against me, 1153 01:08:09,200 --> 01:08:12,200 Speaker 1: and I even lost my food license for about a week. 1154 01:08:12,360 --> 01:08:15,280 Speaker 1: But the City of Rifles stepped in and they commended 1155 01:08:15,320 --> 01:08:19,599 Speaker 1: me for us spurring this into action and getting something 1156 01:08:19,680 --> 01:08:22,720 Speaker 1: done to open small businesses. We had Walmart that was 1157 01:08:22,800 --> 01:08:25,880 Speaker 1: open in Rifle, Colorado, with customers able to walk freely 1158 01:08:25,920 --> 01:08:29,360 Speaker 1: throughout their stores, but yet small business owners were being 1159 01:08:29,400 --> 01:08:33,320 Speaker 1: forced to close. That's government choosing winners and losers instead 1160 01:08:33,320 --> 01:08:36,679 Speaker 1: of stepping in and having reasonable solutions. Like the city 1161 01:08:36,680 --> 01:08:40,640 Speaker 1: of Rifle ended up building patios outside of other restaurants 1162 01:08:40,680 --> 01:08:43,120 Speaker 1: right there on the street where shooters grill is Lauren, 1163 01:08:43,280 --> 01:08:46,080 Speaker 1: and I'm so glad to hear that you were willing 1164 01:08:46,120 --> 01:08:48,479 Speaker 1: to go against, as you put it, the tyrannical orders, 1165 01:08:48,479 --> 01:08:51,040 Speaker 1: because I'm here in New York and so many folks 1166 01:08:51,040 --> 01:08:52,960 Speaker 1: are just lying down and doing whatever they're told to 1167 01:08:52,960 --> 01:08:56,920 Speaker 1: do by the government, especially about their small businesses. When 1168 01:08:56,960 --> 01:08:59,840 Speaker 1: you were in that state of reopen, I'm just one. 1169 01:09:00,360 --> 01:09:02,559 Speaker 1: How much time would you say you would have had 1170 01:09:02,720 --> 01:09:05,000 Speaker 1: left before you'd have to think, I don't know when 1171 01:09:05,040 --> 01:09:06,439 Speaker 1: i'm I don't know if I'll ever be able to 1172 01:09:06,439 --> 01:09:08,920 Speaker 1: open up my restaurant. And are you seeing throughout the 1173 01:09:08,960 --> 01:09:12,360 Speaker 1: state of Colorado concerns from small business owners that they 1174 01:09:12,360 --> 01:09:14,320 Speaker 1: may never be able to reopen if they can't get 1175 01:09:14,320 --> 01:09:16,840 Speaker 1: back up and running soon. Unfortunately, that is the case, 1176 01:09:16,880 --> 01:09:19,120 Speaker 1: and that is exactly where I was. My husband and 1177 01:09:19,160 --> 01:09:22,280 Speaker 1: I used to have a savings account. We poured everything 1178 01:09:22,360 --> 01:09:26,080 Speaker 1: into our business to keep our employees employed. I didn't 1179 01:09:26,080 --> 01:09:30,840 Speaker 1: feel comfortable taking the PPP alan. I just didn't have 1180 01:09:30,840 --> 01:09:33,120 Speaker 1: peace about that. And I'm really grateful that I personally 1181 01:09:33,160 --> 01:09:35,439 Speaker 1: didn't for those who did great and by that it helped, 1182 01:09:36,120 --> 01:09:39,800 Speaker 1: but it kept me in the fight to reopen small businesses. 1183 01:09:40,320 --> 01:09:45,000 Speaker 1: I didn't become just complacent and saying everything's taken care of, 1184 01:09:45,000 --> 01:09:47,760 Speaker 1: I'll let government do their thing. But I was out 1185 01:09:47,800 --> 01:09:50,840 Speaker 1: of time. Pay day was coming and I was going 1186 01:09:50,880 --> 01:09:53,000 Speaker 1: to have to look my employees in the eye as say, 1187 01:09:53,000 --> 01:09:54,600 Speaker 1: I'm sorry, thank you for all the hard work that 1188 01:09:54,640 --> 01:09:56,920 Speaker 1: you've done, but I can't pay you this week. And 1189 01:09:56,960 --> 01:10:00,200 Speaker 1: what I called my county commissioners when I called the 1190 01:10:00,280 --> 01:10:02,960 Speaker 1: county Public Health Department and I told them that we 1191 01:10:02,960 --> 01:10:05,240 Speaker 1: were our doors were going to be closed if we 1192 01:10:05,280 --> 01:10:08,160 Speaker 1: didn't do something soon. They said, it's okay, you can 1193 01:10:08,200 --> 01:10:10,800 Speaker 1: wait another week. We're going to start our discussions next week. 1194 01:10:11,000 --> 01:10:13,080 Speaker 1: And said, no, you're still receiving a paycheck. So it's 1195 01:10:13,160 --> 01:10:14,960 Speaker 1: much different for you to wait another week than it 1196 01:10:15,040 --> 01:10:19,600 Speaker 1: is for my employees and myself. And you know, not 1197 01:10:19,680 --> 01:10:21,920 Speaker 1: only not only were they receiving that paycheck, but they 1198 01:10:21,920 --> 01:10:23,960 Speaker 1: still had a sense of purpose in life. They were 1199 01:10:24,000 --> 01:10:26,439 Speaker 1: able to wake up in the morning and fulfill their 1200 01:10:26,520 --> 01:10:29,880 Speaker 1: daily duties and have that sense of accomplishment at the 1201 01:10:29,960 --> 01:10:31,760 Speaker 1: end of the day. Well, so many of us were 1202 01:10:31,920 --> 01:10:36,080 Speaker 1: at home with a sense of hopelessness with nothing to 1203 01:10:36,120 --> 01:10:39,439 Speaker 1: look forward to. Lauren, We've got an army of Lawyer listeners, 1204 01:10:39,680 --> 01:10:43,080 Speaker 1: especially in the outer reaches of Denver in the suburbs, 1205 01:10:43,120 --> 01:10:44,519 Speaker 1: and they can reach all the way out. The signal 1206 01:10:44,600 --> 01:10:46,960 Speaker 1: there from ninety three seven can reach out to all 1207 01:10:47,000 --> 01:10:48,720 Speaker 1: corners of your state. So I just want to know, 1208 01:10:49,160 --> 01:10:52,080 Speaker 1: we got about thirty seconds left. But how's your race going? 1209 01:10:52,160 --> 01:10:53,800 Speaker 1: And where should people go if they want to help out? 1210 01:10:54,120 --> 01:10:57,559 Speaker 1: This race is amazing. I just won my primary for 1211 01:10:57,600 --> 01:11:00,599 Speaker 1: the first time in forty eight years hearing Colorado an 1212 01:11:00,600 --> 01:11:04,800 Speaker 1: incumbent has been taken out in a primary. It's been tremendous. 1213 01:11:04,840 --> 01:11:07,240 Speaker 1: The momentum all throughout the district has been great, and 1214 01:11:07,320 --> 01:11:10,879 Speaker 1: all throughout our state and nation even people are following. 1215 01:11:10,920 --> 01:11:13,000 Speaker 1: This is as brass roots as it gets, and our 1216 01:11:13,000 --> 01:11:15,639 Speaker 1: campaign is only as successful as the people that I've 1217 01:11:15,640 --> 01:11:19,639 Speaker 1: surrounded myself during the primary. And I'm excited to bring 1218 01:11:19,680 --> 01:11:22,600 Speaker 1: that same passion and enthusiasm into the general election to 1219 01:11:22,680 --> 01:11:25,880 Speaker 1: take out my far less opponent, Diane mitch Bush, and 1220 01:11:26,000 --> 01:11:29,280 Speaker 1: I need everyone's help at Lauren for Colorado dot com 1221 01:11:29,520 --> 01:11:34,479 Speaker 1: to join me in taking her socialist narrative out. All right, Lauren, 1222 01:11:34,520 --> 01:11:35,880 Speaker 1: when you win, you got to come back on and 1223 01:11:36,120 --> 01:11:38,680 Speaker 1: celebrate with us. Okay, thanks so much, and good luck. 1224 01:11:39,120 --> 01:11:42,600 Speaker 1: I'll be here. Thanks so much. Thanks for listening to 1225 01:11:42,600 --> 01:11:46,839 Speaker 1: The bus Essen Show podcasts. Remember to subscribe on Apple podcast, 1226 01:11:47,080 --> 01:11:52,559 Speaker 1: the iHeartRadio app, or wherever you get your podcasts. Oh Man, 1227 01:11:52,600 --> 01:11:55,200 Speaker 1: we talk about cancel culture a lot because it's real 1228 01:11:55,240 --> 01:11:57,960 Speaker 1: and it's all over the place. What is it really, 1229 01:11:58,280 --> 01:12:01,200 Speaker 1: What does it mean? What's it like? What happens as 1230 01:12:01,200 --> 01:12:06,320 Speaker 1: a result of cancel culture? Who gets targeted? This is 1231 01:12:06,360 --> 01:12:08,679 Speaker 1: an ongoing discussion. I can't give you all the answers 1232 01:12:08,760 --> 01:12:14,240 Speaker 1: right now, but here's here's a perfect case endpoint. A 1233 01:12:14,320 --> 01:12:17,559 Speaker 1: guy named Thomas Bosco, who owns the Indian Road Cafe 1234 01:12:17,560 --> 01:12:21,320 Speaker 1: in Manhattan, is coming under fire. This is a story 1235 01:12:21,439 --> 01:12:24,439 Speaker 1: by David Marcus, or it's an opinion piece by David 1236 01:12:24,439 --> 01:12:27,639 Speaker 1: Marcus the New York Post. So here's what happened this 1237 01:12:27,640 --> 01:12:33,160 Speaker 1: guy Bosco in May went on MSNBC's first that's his 1238 01:12:33,240 --> 01:12:36,000 Speaker 1: first mistake. You know, you can't you can't go on 1239 01:12:36,040 --> 01:12:38,840 Speaker 1: these lib propaganda outlets unless you're unless you're going to 1240 01:12:38,880 --> 01:12:41,320 Speaker 1: be a lib that bends the knee and does everything 1241 01:12:41,320 --> 01:12:44,799 Speaker 1: they want you to do. If you're expecting fair treatment, 1242 01:12:44,880 --> 01:12:48,360 Speaker 1: if you're expecting people to be open minded to your 1243 01:12:48,360 --> 01:12:54,799 Speaker 1: point of view, you will be sorely misstaken. And unfortunately 1244 01:12:54,880 --> 01:12:57,000 Speaker 1: this guy's this is a civilian, he's not a media guy. 1245 01:12:57,320 --> 01:12:59,599 Speaker 1: And so he went on TV and figured I could 1246 01:12:59,600 --> 01:13:03,120 Speaker 1: just talk to people. Here's here's what how David Markus 1247 01:13:03,120 --> 01:13:06,360 Speaker 1: describes it. In May, Bosco went on MSNBC to discuss 1248 01:13:06,439 --> 01:13:10,200 Speaker 1: the devastating economic impact of the coronavirus lockdowns on his business. 1249 01:13:10,720 --> 01:13:13,200 Speaker 1: When asked by host Are Melberg how he grated Trump's 1250 01:13:13,200 --> 01:13:17,000 Speaker 1: performance during the pandemic, Bosco indicated that while mistakes were made, 1251 01:13:17,040 --> 01:13:20,000 Speaker 1: he still supports the president. Bosco added that he also 1252 01:13:20,040 --> 01:13:26,880 Speaker 1: supports Governor Andrew Cuomo and Mayor Bill Deblasio. And then 1253 01:13:27,080 --> 01:13:29,479 Speaker 1: at this point, Melbourne, for god knows what reason, asked 1254 01:13:29,479 --> 01:13:32,400 Speaker 1: Bosco if he had voted for Trump and would he again. 1255 01:13:32,760 --> 01:13:36,280 Speaker 1: The answer to both questions was yes, and that is 1256 01:13:36,360 --> 01:13:39,920 Speaker 1: all it took. The backlash was swift. According to The 1257 01:13:39,920 --> 01:13:43,240 Speaker 1: New York Times, one member of the mob, egging on 1258 01:13:43,280 --> 01:13:46,320 Speaker 1: the destruction of the man's livelihood and his employees, was 1259 01:13:46,439 --> 01:13:50,639 Speaker 1: Randy Weingarten, president of the American Federation of Teachers. She wrote, 1260 01:13:50,680 --> 01:13:54,200 Speaker 1: it's hard to ever go back. Can ever go back 1261 01:13:54,200 --> 01:13:56,679 Speaker 1: to this guy's restaurant in Inwood, huh, because he said 1262 01:13:56,680 --> 01:13:59,080 Speaker 1: he's the Trump voters. Now, now, just just remember this 1263 01:13:59,720 --> 01:14:03,920 Speaker 1: when people, because there's a movement right now, there's a 1264 01:14:03,960 --> 01:14:09,600 Speaker 1: movement right now of leftists who are trying to say 1265 01:14:09,640 --> 01:14:13,080 Speaker 1: that there is no cancel culture, that cancel culture is 1266 01:14:13,880 --> 01:14:20,080 Speaker 1: a fiction of conservative paranoia or something so that that's 1267 01:14:20,120 --> 01:14:25,720 Speaker 1: already happening, that's already out there. And so then when 1268 01:14:25,720 --> 01:14:28,400 Speaker 1: there are cases like this of the most egregious kinds 1269 01:14:28,400 --> 01:14:32,160 Speaker 1: of cancel culture, they'll they'll make one of they'll do 1270 01:14:32,200 --> 01:14:34,599 Speaker 1: one of two things. Either ignore it or they'll say, well, 1271 01:14:34,600 --> 01:14:37,160 Speaker 1: this person really deserved it. I think in this case 1272 01:14:38,720 --> 01:14:45,200 Speaker 1: it's pretty clear that no reasonable, sane person could argue 1273 01:14:45,200 --> 01:14:48,439 Speaker 1: that this is what should happen, although there are a 1274 01:14:48,439 --> 01:14:52,840 Speaker 1: lot of unreasonable insane democrats running around. So now he 1275 01:14:52,960 --> 01:14:57,840 Speaker 1: has been targeted by the left and they want to 1276 01:14:57,920 --> 01:15:01,120 Speaker 1: ruin this guy and they're they're calling for a boycott 1277 01:15:01,120 --> 01:15:04,760 Speaker 1: of his restaurant just because he's a Trump voter. So 1278 01:15:04,800 --> 01:15:06,559 Speaker 1: if you say that you voted for Donald Trump and 1279 01:15:06,560 --> 01:15:10,000 Speaker 1: people find out the America the Liberals want to work 1280 01:15:10,080 --> 01:15:12,160 Speaker 1: and want to be and want to live in and 1281 01:15:12,280 --> 01:15:15,720 Speaker 1: have created largely for all of us already, is if 1282 01:15:15,760 --> 01:15:19,519 Speaker 1: you say that, they will feel comfortable ruining your life, 1283 01:15:19,720 --> 01:15:23,479 Speaker 1: bankrupting your business, making it so you can't feed your family. 1284 01:15:23,680 --> 01:15:28,559 Speaker 1: So your employees, who I'm sure are probably all Biden 1285 01:15:28,680 --> 01:15:32,600 Speaker 1: would be Biden voters and Hillary voters right work in 1286 01:15:32,640 --> 01:15:35,000 Speaker 1: the restaurant business. A lot of Democrats are going to 1287 01:15:35,040 --> 01:15:37,360 Speaker 1: be a lot of Democrats there. But this is the 1288 01:15:37,360 --> 01:15:40,080 Speaker 1: country that they want us all to live in, and 1289 01:15:40,240 --> 01:15:42,640 Speaker 1: this is how things are shaking out right now. So 1290 01:15:42,880 --> 01:15:45,640 Speaker 1: I think we should see this for what it is. 1291 01:15:45,840 --> 01:15:50,599 Speaker 1: It is a totalitarianism. It's it's wrong, and until we 1292 01:15:50,800 --> 01:15:53,960 Speaker 1: band together and say enough, it's going to keep happening, 1293 01:15:54,960 --> 01:15:58,479 Speaker 1: until the culture changes and we go back to a 1294 01:15:58,520 --> 01:16:00,439 Speaker 1: place where you can say to somebody, yeah, I don't 1295 01:16:00,439 --> 01:16:01,800 Speaker 1: agree with what you said, but I'm just gonna go 1296 01:16:01,840 --> 01:16:06,759 Speaker 1: on living my life. Lives. Can't handle that anymore makes 1297 01:16:06,760 --> 01:16:13,120 Speaker 1: me feel unsafe. Your ideas makes me feel unsafe. That's 1298 01:16:13,120 --> 01:16:15,120 Speaker 1: what they like to say, that's what they like to do, 1299 01:16:16,080 --> 01:16:23,559 Speaker 1: and it's so intellectually and morally bankrupt. This this approach 1300 01:16:23,600 --> 01:16:26,800 Speaker 1: that they've taken. But this is widespread. That was what 1301 01:16:26,920 --> 01:16:30,320 Speaker 1: the writer at Vox, you know, that far left website, 1302 01:16:31,120 --> 01:16:34,240 Speaker 1: I mean probably them like the most progressive trash heap 1303 01:16:34,479 --> 01:16:36,559 Speaker 1: in many ways online. I mean, it's what's it's like. 1304 01:16:36,680 --> 01:16:40,280 Speaker 1: It's it's comedy without trying to be that's how left 1305 01:16:40,280 --> 01:16:42,320 Speaker 1: wing it is. I mean you you read the headlines 1306 01:16:43,200 --> 01:16:46,639 Speaker 1: constantly on vox dot com and you'll think, is this 1307 01:16:47,560 --> 01:16:53,559 Speaker 1: is this the Babylon be making fun of making fun 1308 01:16:53,600 --> 01:16:55,800 Speaker 1: of liberals. No, it's actually that's that's who they are, 1309 01:16:55,800 --> 01:16:59,360 Speaker 1: that's what they are all about. And you had a 1310 01:16:59,400 --> 01:17:04,280 Speaker 1: writer say that because this guy, Maddie Iglaciers, who is 1311 01:17:04,320 --> 01:17:08,640 Speaker 1: a far left wing progressive, but he did sign his 1312 01:17:08,720 --> 01:17:10,920 Speaker 1: name to that letter saying, hey, can we start to 1313 01:17:10,960 --> 01:17:14,680 Speaker 1: protect open debate and discussion. Another writer at Vox came 1314 01:17:14,680 --> 01:17:19,520 Speaker 1: out and said that she felt unsafe because her colleague 1315 01:17:19,560 --> 01:17:23,200 Speaker 1: signed a letter saying that people should be allowed to disagree. 1316 01:17:24,320 --> 01:17:28,400 Speaker 1: These people are supposed to be journalists, they're supposed to believe, 1317 01:17:28,640 --> 01:17:32,000 Speaker 1: and not just believe in, but defend the free expression 1318 01:17:32,040 --> 01:17:36,520 Speaker 1: of ideas. They're supposed to think that this is central 1319 01:17:37,120 --> 01:17:40,760 Speaker 1: to their position. And then there was an additional you 1320 01:17:40,760 --> 01:17:42,400 Speaker 1: know how, there was that letter that I mentioned that 1321 01:17:42,439 --> 01:17:45,519 Speaker 1: Maddie Iglaciers and other people, you know, Salomon Rushti and 1322 01:17:46,800 --> 01:17:49,679 Speaker 1: David from and not On, all these other people, many 1323 01:17:49,720 --> 01:17:52,040 Speaker 1: of whom really aren't worth reading or hearing from, but 1324 01:17:53,080 --> 01:17:56,880 Speaker 1: they all signed this thing saying we should have open debate. 1325 01:17:57,000 --> 01:17:59,400 Speaker 1: Now there's a letter in response to it, a letter 1326 01:17:59,560 --> 01:18:05,040 Speaker 1: on justice and open debate, and this is from the 1327 01:18:05,040 --> 01:18:09,600 Speaker 1: Objective dot com, a more specific letter on justice and 1328 01:18:09,680 --> 01:18:13,759 Speaker 1: open debate they're calling it. And it's all about how 1329 01:18:14,160 --> 01:18:18,320 Speaker 1: open debate is actually bad and here's why opened free 1330 01:18:18,360 --> 01:18:20,880 Speaker 1: exchange of ideas is bad. And here's why. And it's 1331 01:18:20,880 --> 01:18:26,600 Speaker 1: signed by all of these journalists from huff Post, CNN, 1332 01:18:27,000 --> 01:18:31,880 Speaker 1: New York Times, NBC, all these different places, and we wonder, 1333 01:18:32,200 --> 01:18:34,120 Speaker 1: we wonder why we have the media that we do. 1334 01:18:34,680 --> 01:18:36,800 Speaker 1: It was really a reminder as you read through it 1335 01:18:37,360 --> 01:18:42,000 Speaker 1: that our media is full of and I mean this, 1336 01:18:42,200 --> 01:18:47,519 Speaker 1: journalists are generally dumb. They're they're really the dumbest people 1337 01:18:47,840 --> 01:18:51,799 Speaker 1: in and you know, for a profession that prides itself 1338 01:18:51,880 --> 01:18:55,480 Speaker 1: on having really smart people, the disparity between the reality 1339 01:18:56,000 --> 01:18:59,639 Speaker 1: of the stupidity of the people in the profession versus 1340 01:18:59,760 --> 01:19:03,799 Speaker 1: their perception of themselves. I think there's a bigger golf, 1341 01:19:03,880 --> 01:19:07,000 Speaker 1: a wider golf for journalists than any any other profession 1342 01:19:07,040 --> 01:19:10,679 Speaker 1: that exists. I really really believe that. So this letter 1343 01:19:10,720 --> 01:19:12,040 Speaker 1: is a perfect example of And then you have the 1344 01:19:12,400 --> 01:19:17,200 Speaker 1: Goya CEO of Goya beans. I think I don't know 1345 01:19:17,200 --> 01:19:19,360 Speaker 1: what else did is it? They do other things, brucer 1346 01:19:19,400 --> 01:19:22,720 Speaker 1: marktin beans, Yeah, all types of Spanish food products, a 1347 01:19:22,720 --> 01:19:24,360 Speaker 1: lot of span Okay, well I just know of it 1348 01:19:24,360 --> 01:19:27,599 Speaker 1: as Goya beans. I don't know, there's okay, but other 1349 01:19:27,800 --> 01:19:33,280 Speaker 1: Spanish food products as well. He went to a hispanicum 1350 01:19:34,200 --> 01:19:38,680 Speaker 1: like jobs speech thing that the White House did, you know, 1351 01:19:38,880 --> 01:19:43,360 Speaker 1: promoting Hispanic entrepreneurship and good things, and he just said, 1352 01:19:43,400 --> 01:19:45,439 Speaker 1: you know, I appreciate the leadership the president is shown. 1353 01:19:45,560 --> 01:19:47,760 Speaker 1: But if if you're a Hispanic CEO and you show 1354 01:19:47,880 --> 01:19:51,280 Speaker 1: up and say you like President Trump, people will stop 1355 01:19:51,360 --> 01:19:56,000 Speaker 1: eating Libs will stop eating your food. That's where we 1356 01:19:56,040 --> 01:20:00,639 Speaker 1: are now. They're they're these, they're absurd, They're you're ranged 1357 01:20:00,720 --> 01:20:06,120 Speaker 1: I mean, they really have emotional Liberals have widespread emotional problems. 1358 01:20:06,479 --> 01:20:09,000 Speaker 1: They think it's politics, but really they've got they've got 1359 01:20:09,040 --> 01:20:13,320 Speaker 1: a lot of undiagnosed or hidden mental illness that is 1360 01:20:13,400 --> 01:20:16,559 Speaker 1: driving their politics, or maybe their politics has made them 1361 01:20:17,120 --> 01:20:19,840 Speaker 1: have a problem where they're mentally ill. They have a hysteria, 1362 01:20:19,880 --> 01:20:22,800 Speaker 1: they have a mania, they have That's what's happened. We're 1363 01:20:22,840 --> 01:20:25,360 Speaker 1: dealing with this now across the country. I know I'm 1364 01:20:25,360 --> 01:20:27,519 Speaker 1: not a psychiatrist or a psychologist, but you don't have 1365 01:20:27,600 --> 01:20:29,680 Speaker 1: to be to see that this is a mass hysteria 1366 01:20:29,840 --> 01:20:35,920 Speaker 1: and these people are completely nuts. They're nuts. You're in 1367 01:20:35,960 --> 01:20:39,560 Speaker 1: the freedom huh. This is the Buck Sexton Show podcast. 1368 01:20:43,479 --> 01:20:47,840 Speaker 1: All right, Freestyle Friday is upon us, which means a 1369 01:20:48,000 --> 01:20:51,040 Speaker 1: producer Mark, all of your hard work this week, staying 1370 01:20:51,080 --> 01:20:56,240 Speaker 1: up late, taking copious notes on the various voicemails that 1371 01:20:56,280 --> 01:20:58,720 Speaker 1: are called in for us. We can now actually hear 1372 01:20:58,760 --> 01:21:01,519 Speaker 1: some of them. Correct, Yeah, yes we can if you 1373 01:21:01,520 --> 01:21:03,479 Speaker 1: want to leave them for next week. Folks eight four 1374 01:21:03,560 --> 01:21:08,000 Speaker 1: four nine two eight two five eight four four nine 1375 01:21:08,120 --> 01:21:12,479 Speaker 1: hundred Buck producer Mark play that funky music, Hey, Buck, 1376 01:21:12,520 --> 01:21:16,519 Speaker 1: and producer Mark. This is packing Lancaster, Pa, Hey, the 1377 01:21:16,760 --> 01:21:19,760 Speaker 1: governors in the Democratic States and other people as well 1378 01:21:19,960 --> 01:21:23,320 Speaker 1: are following a science and it's called science fiction because 1379 01:21:23,320 --> 01:21:27,080 Speaker 1: we know the virus cannot be filtered, A sub microscopic 1380 01:21:27,160 --> 01:21:29,920 Speaker 1: virus can't be filtered by almost every mask. We know that, 1381 01:21:30,400 --> 01:21:33,400 Speaker 1: so it's it's science, but it's science fiction. I hope 1382 01:21:33,439 --> 01:21:36,759 Speaker 1: you keep mentioning that or use that in your talk 1383 01:21:36,800 --> 01:21:38,760 Speaker 1: if you think so. The other thing is you did 1384 01:21:38,760 --> 01:21:40,800 Speaker 1: you look up Elmer Fud yet, because you're so good 1385 01:21:40,800 --> 01:21:43,639 Speaker 1: at doing certain voices. I thought an Elmer fund voice 1386 01:21:43,680 --> 01:21:46,360 Speaker 1: you'd be excellent at. So I'm hoping you can do 1387 01:21:46,400 --> 01:21:52,280 Speaker 1: that sometime. Thanks bye, Well, thank you sir for your voicemail. 1388 01:21:52,360 --> 01:21:55,920 Speaker 1: And yes, there's there's actual science to show that the 1389 01:21:56,040 --> 01:22:01,719 Speaker 1: penetration of fabric masks by Aerosoliyes virus is very, very high. 1390 01:22:01,760 --> 01:22:04,040 Speaker 1: I've even seen one study suggests it's the size ninety 1391 01:22:04,040 --> 01:22:08,559 Speaker 1: seven percent. So yeah, you're getting about a three percent Yeah, 1392 01:22:08,600 --> 01:22:13,480 Speaker 1: wear that mask, three percent protection from viral from virus 1393 01:22:13,520 --> 01:22:17,720 Speaker 1: you know, getting into your mouth basically. Yeah. Now, I'm 1394 01:22:17,760 --> 01:22:21,360 Speaker 1: not saying that that's the established number, but it's not 1395 01:22:21,439 --> 01:22:24,120 Speaker 1: super high. If all we had to do was wear masks, 1396 01:22:24,560 --> 01:22:27,720 Speaker 1: you would have enclaves of this country with no coronavirus 1397 01:22:27,760 --> 01:22:32,120 Speaker 1: because people wear masks all the time. It's not nearly 1398 01:22:32,120 --> 01:22:34,519 Speaker 1: as effective as people think, and it may be almost 1399 01:22:34,680 --> 01:22:39,200 Speaker 1: entirely ineffective against this virus. We will find out, but 1400 01:22:39,280 --> 01:22:41,959 Speaker 1: in the meantime people act like the science is subtled. 1401 01:22:42,000 --> 01:22:46,920 Speaker 1: And that's for Elmer Fudd. Is that is that I 1402 01:22:47,520 --> 01:22:49,439 Speaker 1: taught I tore a puddy cat? Is that is that 1403 01:22:49,439 --> 01:22:53,040 Speaker 1: Elmer Fudd? I believe? So I think that is? Is 1404 01:22:53,040 --> 01:22:55,160 Speaker 1: that I taught it to a puddycat? Yeah, I have 1405 01:22:55,200 --> 01:22:57,120 Speaker 1: to I don't know. I don't have Elmer Fudd in 1406 01:22:57,120 --> 01:22:58,479 Speaker 1: my head, so I'd have to think a little bit 1407 01:22:58,479 --> 01:23:01,080 Speaker 1: more about it. Then there's isn't there that guy fog 1408 01:23:01,080 --> 01:23:05,040 Speaker 1: horn lego on I said, I said that that guy, right, Yeah, 1409 01:23:05,080 --> 01:23:09,880 Speaker 1: he's there. There are all uneatans. Producer producer Nick is weighing, 1410 01:23:09,880 --> 01:23:12,680 Speaker 1: and what's what's he telling me here? Oh, that's tweetie bird, No, 1411 01:23:13,400 --> 01:23:16,920 Speaker 1: my veasiline, omber father, that's tweety bird. Whoops whoops. Yeah 1412 01:23:17,000 --> 01:23:21,040 Speaker 1: definitely yea, yeah, I gotta figure this stuff out all right. 1413 01:23:21,120 --> 01:23:24,759 Speaker 1: Next next one from our voicemails, hid it Hey producer 1414 01:23:24,800 --> 01:23:29,840 Speaker 1: Mark hey Buck feel the brit here from Saint Augustine, Florida, 1415 01:23:30,439 --> 01:23:34,920 Speaker 1: love the show. Two quick questions so the original Saturday show? 1416 01:23:35,160 --> 01:23:38,439 Speaker 1: Was it only two hours long? Am I remembering that correctly? 1417 01:23:38,800 --> 01:23:43,040 Speaker 1: I'm a second questions around asymptomatic people. They're relatively young, 1418 01:23:43,160 --> 01:23:46,639 Speaker 1: the main part of our workforce. With all the testing, testing, 1419 01:23:46,720 --> 01:23:50,560 Speaker 1: testing that we hear about, do we know what percentage 1420 01:23:50,640 --> 01:23:55,200 Speaker 1: of the workforce are asymptomatic? And when do they stop 1421 01:23:55,240 --> 01:23:58,879 Speaker 1: being cottagious? We need to get past this fear mongering 1422 01:23:59,000 --> 01:24:03,439 Speaker 1: that we had and get our economy going again. Thanks 1423 01:24:03,439 --> 01:24:08,280 Speaker 1: Buck Shields high shields on my friend cool accent too. 1424 01:24:08,360 --> 01:24:12,040 Speaker 1: I always liking we get cool accents. The second question 1425 01:24:12,080 --> 01:24:14,519 Speaker 1: you asked about asymptomatic workforce, I'll deal with that first. 1426 01:24:15,120 --> 01:24:17,680 Speaker 1: I believe we don't know. The estimates are that up 1427 01:24:17,720 --> 01:24:22,200 Speaker 1: to twenty times the number of established tested cases in 1428 01:24:22,280 --> 01:24:25,240 Speaker 1: any given day. So if you if you for every 1429 01:24:25,320 --> 01:24:28,479 Speaker 1: person you test in an area who comes up positive, 1430 01:24:28,520 --> 01:24:31,120 Speaker 1: they think ten to twenty times that number are actually 1431 01:24:31,160 --> 01:24:34,479 Speaker 1: positive with the case at that with the virus at 1432 01:24:34,479 --> 01:24:38,160 Speaker 1: that time, asymptomatic cases. I just think there's no really 1433 01:24:38,240 --> 01:24:41,000 Speaker 1: good there's really no good estimates of how many people 1434 01:24:41,000 --> 01:24:44,320 Speaker 1: out there in the workforce right now, have it? And Mark? 1435 01:24:44,360 --> 01:24:47,439 Speaker 1: What was his second question? His original question was about 1436 01:24:47,439 --> 01:24:50,920 Speaker 1: the original Saturday Squad Show? How long was it? Oh? 1437 01:24:50,960 --> 01:24:54,120 Speaker 1: The original oss The original Saturday Squad Show was three 1438 01:24:54,120 --> 01:24:57,120 Speaker 1: hours and it was from It was on Saturdays from 1439 01:24:57,160 --> 01:25:01,479 Speaker 1: twelve to three eastern PM. And that's when we started, 1440 01:25:01,520 --> 01:25:04,240 Speaker 1: and we had like a handful of people listening, and 1441 01:25:04,280 --> 01:25:05,960 Speaker 1: then we grew it and grew it and grew it. 1442 01:25:06,200 --> 01:25:10,280 Speaker 1: That's actually a moment here where I actually want to 1443 01:25:10,280 --> 01:25:12,520 Speaker 1: transition for a second, and we'll get back to the voicemails. 1444 01:25:14,920 --> 01:25:19,439 Speaker 1: I saw today that Jay Severn had passed away, and 1445 01:25:19,640 --> 01:25:21,760 Speaker 1: I wanted to take a moment just to say that 1446 01:25:22,200 --> 01:25:24,360 Speaker 1: we should, all those of us who knew him, and 1447 01:25:24,680 --> 01:25:30,040 Speaker 1: anybody in general, should send thoughts and prayers to his family. 1448 01:25:30,640 --> 01:25:32,800 Speaker 1: I knew Jay a bit from working with him there, 1449 01:25:32,960 --> 01:25:36,120 Speaker 1: and I gotta tell you, I was really sad. He 1450 01:25:36,160 --> 01:25:38,080 Speaker 1: was only sixty nine. I'm really sad to hear. But 1451 01:25:38,200 --> 01:25:42,000 Speaker 1: I think it was cancer. It wasn't from COVID. He was. 1452 01:25:42,320 --> 01:25:44,920 Speaker 1: He was a good guy. I didn't know him super well, 1453 01:25:44,960 --> 01:25:48,080 Speaker 1: but I really just knew him professionally. He was a 1454 01:25:48,200 --> 01:25:51,200 Speaker 1: radio He was a radio host, radio host. He was 1455 01:25:51,240 --> 01:25:55,320 Speaker 1: really interesting and he had stuff to say, and I 1456 01:25:55,320 --> 01:25:57,360 Speaker 1: always appreciated it. When we had the Man in the 1457 01:25:57,400 --> 01:26:03,240 Speaker 1: Moon festival in Salt Lake City with Glenn, I don't 1458 01:26:03,240 --> 01:26:08,040 Speaker 1: know now, maybe seven six seven years ago, I spent 1459 01:26:08,200 --> 01:26:10,120 Speaker 1: some time in a car to kind of a long 1460 01:26:10,240 --> 01:26:13,960 Speaker 1: ride with just Jay Severin and me, and we talked 1461 01:26:13,960 --> 01:26:16,800 Speaker 1: so much about the radio business and we hung out. 1462 01:26:16,840 --> 01:26:19,839 Speaker 1: We hung out for hours that day, and I always 1463 01:26:19,840 --> 01:26:24,519 Speaker 1: remembered one he went through all the radio hosts that 1464 01:26:24,560 --> 01:26:27,280 Speaker 1: you would know and gave me his just sort of 1465 01:26:27,320 --> 01:26:30,679 Speaker 1: professional assessment of who's good at what, who's really talented, 1466 01:26:30,680 --> 01:26:35,880 Speaker 1: who's really lucky, who's really nasty? And I thought he 1467 01:26:35,960 --> 01:26:39,880 Speaker 1: was spot on. So so that's uh, you know. The 1468 01:26:39,880 --> 01:26:41,360 Speaker 1: only one I'll say a loud is he says Rush 1469 01:26:41,479 --> 01:26:45,439 Speaker 1: is the greatest that's ever done. The Rush is the 1470 01:26:45,439 --> 01:26:49,439 Speaker 1: greatest radio host to have yet lived. And I agree 1471 01:26:49,439 --> 01:26:51,160 Speaker 1: with them on that. I won't tell you about the 1472 01:26:51,160 --> 01:26:53,240 Speaker 1: rest of them because I don't want to cause any problems. 1473 01:26:54,000 --> 01:26:56,639 Speaker 1: But he also was very encouraging to me and said 1474 01:26:56,680 --> 01:26:59,600 Speaker 1: that he had not really come across well, you know, 1475 01:26:59,640 --> 01:27:01,880 Speaker 1: he said he hadn't come across anybody who was so young, 1476 01:27:01,920 --> 01:27:04,240 Speaker 1: who got so good so fast at radio, which I 1477 01:27:04,240 --> 01:27:07,000 Speaker 1: thought was a very nice thing to say so, and 1478 01:27:07,040 --> 01:27:09,639 Speaker 1: I appreciated that. That was really encouraging to me early 1479 01:27:09,680 --> 01:27:11,720 Speaker 1: on in my career. And Jay wasn't the kind of 1480 01:27:11,720 --> 01:27:13,320 Speaker 1: guy for those you'd ever listened to him and him 1481 01:27:13,320 --> 01:27:16,400 Speaker 1: as a host, he was can say what's up his 1482 01:27:16,439 --> 01:27:20,320 Speaker 1: mind nobs kind of a guy. But he had some 1483 01:27:20,479 --> 01:27:22,160 Speaker 1: very nice things to say about my ability as a 1484 01:27:22,240 --> 01:27:25,240 Speaker 1: radio host when I was just really getting started. You know, 1485 01:27:25,320 --> 01:27:27,599 Speaker 1: It's before I had filled in for Rush and before 1486 01:27:27,640 --> 01:27:29,759 Speaker 1: I had gotten syndicated and everything else. So I always 1487 01:27:29,760 --> 01:27:32,240 Speaker 1: appreciated that, and I'm sorry to hear that he passed. 1488 01:27:32,360 --> 01:27:34,080 Speaker 1: And I know a lot of people spend a lot 1489 01:27:34,080 --> 01:27:39,160 Speaker 1: of time listening to Jay. So okay, now let's let's 1490 01:27:39,200 --> 01:27:41,360 Speaker 1: get back into our voicemails. Producer Mark, what's up next? 1491 01:27:42,240 --> 01:27:45,960 Speaker 1: Hey Buck? Producer Mark, This is Rob from Wisconsin. I 1492 01:27:46,000 --> 01:27:47,880 Speaker 1: just wanted to let you know I've been listening to 1493 01:27:47,880 --> 01:27:51,479 Speaker 1: your show since back to the Blaze days and love 1494 01:27:51,560 --> 01:27:53,640 Speaker 1: everything you're doing for us and the cost and the 1495 01:27:53,800 --> 01:27:58,400 Speaker 1: conservative cost. Basically just wanted to say that until we 1496 01:27:58,400 --> 01:28:02,559 Speaker 1: would start wrapping up some of this rioting and breaking 1497 01:28:02,600 --> 01:28:05,479 Speaker 1: of a law, really we don't have to move forward. 1498 01:28:05,640 --> 01:28:08,680 Speaker 1: I agree with you on the wartime conservatism. I think 1499 01:28:08,680 --> 01:28:10,360 Speaker 1: it's time for us to put a foot down and 1500 01:28:11,040 --> 01:28:15,080 Speaker 1: stop this madness. Anyway, keep up a good fight, love 1501 01:28:15,160 --> 01:28:20,160 Speaker 1: your show, Take care Fields High Sheels. Hi, thank you 1502 01:28:20,200 --> 01:28:23,280 Speaker 1: so much for the call. I appreciate every all of 1503 01:28:23,320 --> 01:28:26,800 Speaker 1: your sentiments there, and I agree with you, and I 1504 01:28:26,880 --> 01:28:30,160 Speaker 1: think that we all, in our own way, need to 1505 01:28:30,160 --> 01:28:32,240 Speaker 1: figure out how we can be a part of the fight, 1506 01:28:32,320 --> 01:28:35,160 Speaker 1: or at least support those who are fighting. Next voice, 1507 01:28:35,160 --> 01:28:38,840 Speaker 1: Bill Mark, Hi, Bucking Mark. My name is Kevin. I'm 1508 01:28:38,960 --> 01:28:41,879 Speaker 1: part of your Amorial constituency out here in a suburb 1509 01:28:41,920 --> 01:28:45,599 Speaker 1: of Denver. Discovered your show last summer when it started 1510 01:28:45,600 --> 01:28:48,720 Speaker 1: Aaron here on ninety two seven, and I think you're 1511 01:28:48,720 --> 01:28:52,320 Speaker 1: a terrific host. You have a fantastic sense of humor 1512 01:28:52,920 --> 01:28:56,400 Speaker 1: and I absolutely love listening to so and Mark. You 1513 01:28:56,479 --> 01:28:59,840 Speaker 1: got to get getting down on yourself. Man. We love 1514 01:28:59,880 --> 01:29:02,720 Speaker 1: you just as much as book Shield Tie. You're both 1515 01:29:02,720 --> 01:29:05,960 Speaker 1: good Americans. Thanks for what you do. That's such a kind. 1516 01:29:06,240 --> 01:29:10,040 Speaker 1: That's such a kind email, I mean email voicemail, and 1517 01:29:10,120 --> 01:29:14,040 Speaker 1: I always appreciate when one of producer Mark's extended family 1518 01:29:14,080 --> 01:29:18,640 Speaker 1: members calls in like that. So you know, apparently from 1519 01:29:18,680 --> 01:29:21,000 Speaker 1: the Denver area, there's like a second cousin. Mark. You know, 1520 01:29:21,040 --> 01:29:24,120 Speaker 1: he did make one big mistakes. I'm not just as 1521 01:29:24,120 --> 01:29:28,760 Speaker 1: good as Buck. I'm much better. There you go there, 1522 01:29:28,840 --> 01:29:31,800 Speaker 1: you know, you know when you see him at Thanksgiving 1523 01:29:31,800 --> 01:29:34,240 Speaker 1: this year, you got he went off the script. Yeah, 1524 01:29:34,280 --> 01:29:36,360 Speaker 1: he went off the script a little bit. But no, no, Hey, 1525 01:29:36,640 --> 01:29:39,439 Speaker 1: I'm so glad that we have our our Look, we 1526 01:29:39,479 --> 01:29:42,080 Speaker 1: have a we have a very large and loyal and 1527 01:29:42,479 --> 01:29:47,559 Speaker 1: fantastic listenership in the Denver area one Freedom ninety three seven, 1528 01:29:47,560 --> 01:29:49,559 Speaker 1: and we're very thankful for it. So all of you 1529 01:29:49,600 --> 01:29:52,240 Speaker 1: listening out there, we even had a would be stoned 1530 01:29:52,280 --> 01:29:54,200 Speaker 1: to be congressman from your state today just because we 1531 01:29:54,200 --> 01:29:57,840 Speaker 1: love Denver so much. Thanks for listening to the Busson 1532 01:29:57,880 --> 01:30:02,400 Speaker 1: Show podcast remember just right on Apple podcast, the iHeartRadio 1533 01:30:02,439 --> 01:30:06,200 Speaker 1: app or wherever you get your podcasts. All right, Mark, 1534 01:30:06,240 --> 01:30:10,080 Speaker 1: how many more voicemails? We got four more? Oh? All right, 1535 01:30:10,320 --> 01:30:13,759 Speaker 1: let's rack him and stack him next. Please, Hey, Buck, 1536 01:30:13,920 --> 01:30:18,519 Speaker 1: it's John from Mount Airy, Maryland. Hey, just fyi, the 1537 01:30:18,640 --> 01:30:21,840 Speaker 1: reason that the Left is so adamant about keeping kids 1538 01:30:21,840 --> 01:30:26,360 Speaker 1: out of school is for the mail in vote. If 1539 01:30:26,479 --> 01:30:28,840 Speaker 1: kids can't be in school, then schools are shut down. 1540 01:30:28,880 --> 01:30:32,519 Speaker 1: Then voting is basically shut down. Eighty percent of voting 1541 01:30:32,560 --> 01:30:36,160 Speaker 1: happens out of the schools, so they can push their 1542 01:30:36,680 --> 01:30:41,880 Speaker 1: mailed in agenda and if they're anywhere, they're going to cheat. 1543 01:30:42,200 --> 01:30:47,840 Speaker 1: That's it right there. These folks have zero integrity, zero morals. 1544 01:30:47,960 --> 01:30:53,360 Speaker 1: So thanks for your show. Love it, John, thanks so 1545 01:30:53,439 --> 01:30:58,000 Speaker 1: much for calling in. And I had not thought about that. 1546 01:30:58,000 --> 01:31:00,639 Speaker 1: I'll be honest, you're introducing something new and the conversation 1547 01:31:00,680 --> 01:31:03,840 Speaker 1: for me, I hadn't thought about shutting down schools as 1548 01:31:03,880 --> 01:31:09,280 Speaker 1: part of the strategy to get voting in the voting 1549 01:31:09,360 --> 01:31:12,840 Speaker 1: to be mail in instead of going through schools. But 1550 01:31:12,920 --> 01:31:15,599 Speaker 1: I suppose that is that is the case. Yeah, because 1551 01:31:15,600 --> 01:31:18,599 Speaker 1: I vote my voting district here is a public school, 1552 01:31:18,640 --> 01:31:21,599 Speaker 1: so that makes sense. Yeah, I guess people do use 1553 01:31:21,600 --> 01:31:23,519 Speaker 1: the public schools to do this stuff, right, Producer Mark, 1554 01:31:23,560 --> 01:31:26,080 Speaker 1: do you know? Do you know what you're of course 1555 01:31:26,120 --> 01:31:28,679 Speaker 1: you're registered, even though you moved. We know that because 1556 01:31:28,760 --> 01:31:31,559 Speaker 1: Pricer Mark wouldn't forget. He wouldn't forget as part of 1557 01:31:31,560 --> 01:31:34,839 Speaker 1: the best political radio show in the country to register 1558 01:31:34,960 --> 01:31:37,680 Speaker 1: in a critical election year. Well, the DMV in New 1559 01:31:37,800 --> 01:31:39,960 Speaker 1: Jersey hasn't been opened since I moved to New Jersey, 1560 01:31:40,040 --> 01:31:42,439 Speaker 1: so it's been a bit difficult. But I don't know 1561 01:31:42,479 --> 01:31:44,280 Speaker 1: where my New Jersey one, but my New York one 1562 01:31:44,400 --> 01:31:47,120 Speaker 1: was always in a public school. Always in public school, right, yeah, 1563 01:31:47,200 --> 01:31:50,040 Speaker 1: yeah yeah. I Also, I think I have to get 1564 01:31:50,320 --> 01:31:53,160 Speaker 1: one of those upgraded licenses so I can fly on 1565 01:31:53,240 --> 01:31:57,639 Speaker 1: planes again using your driver's license, you know, domestically delayed 1566 01:31:58,040 --> 01:32:01,160 Speaker 1: that because of COVID. But either way, as long as 1567 01:32:01,200 --> 01:32:04,120 Speaker 1: you have your passport, you're okay. You have to bring 1568 01:32:04,160 --> 01:32:07,240 Speaker 1: your passport with you. Oh, you gotta bring your passport 1569 01:32:07,240 --> 01:32:10,519 Speaker 1: with you, Okay, Well, it's kind of annoying. I don't 1570 01:32:10,520 --> 01:32:11,920 Speaker 1: want to bring my passport with me when I go, 1571 01:32:12,240 --> 01:32:14,400 Speaker 1: you know what, flying I'm going to Cleveland. I need 1572 01:32:14,400 --> 01:32:16,080 Speaker 1: a passport. I mean, I know things got a little 1573 01:32:16,080 --> 01:32:19,920 Speaker 1: crazy in Ohio sometimes, but I'd rather rather than go 1574 01:32:20,280 --> 01:32:22,080 Speaker 1: and wait online of the TMV, I'd rather bring my 1575 01:32:22,120 --> 01:32:25,519 Speaker 1: passport to the airport. Oh. I guess that's that's certainly, 1576 01:32:25,560 --> 01:32:27,720 Speaker 1: that's certainly one approach, one way to go. You know 1577 01:32:27,720 --> 01:32:30,080 Speaker 1: what I'm mad about, Producer Mark, I wanted to do. 1578 01:32:30,120 --> 01:32:31,880 Speaker 1: It is a perfect weekend for it. I want to 1579 01:32:31,920 --> 01:32:36,920 Speaker 1: watch there's a Tom Hanks submarine. It's called Greyhound, a 1580 01:32:37,000 --> 01:32:40,920 Speaker 1: submarine movie. If you have Apple TV app on you, 1581 01:32:41,040 --> 01:32:44,400 Speaker 1: you can do it. My TV is the model of 1582 01:32:44,479 --> 01:32:48,080 Speaker 1: the TV before what's compatible with Apple TV? So on 1583 01:32:48,120 --> 01:32:51,880 Speaker 1: this rainy ass to pressing weekend, when a submarine movie 1584 01:32:51,880 --> 01:32:54,559 Speaker 1: with Tom Hanks would be just what the doctor ordered. 1585 01:32:54,960 --> 01:32:56,920 Speaker 1: I actually the only way you can watch this is 1586 01:32:56,920 --> 01:32:59,680 Speaker 1: on Apple TV. Do you have Apple TV? What do 1587 01:32:59,720 --> 01:33:03,599 Speaker 1: you mean the Apple TV app? Yeah? Yeah, it shouldn't 1588 01:33:03,600 --> 01:33:07,080 Speaker 1: be compatible with most TV's. Mind's too old. I don't 1589 01:33:07,080 --> 01:33:09,720 Speaker 1: think that's true. Yeah, it is. Mind you don't have 1590 01:33:09,720 --> 01:33:12,920 Speaker 1: a Roku or something. Mine's from twenty sixteen. No. And 1591 01:33:12,960 --> 01:33:16,599 Speaker 1: also you need a subscription to Apple TV. You know that, right, Yeah, 1592 01:33:16,600 --> 01:33:18,240 Speaker 1: but you could get the free subscription. Will you have 1593 01:33:18,320 --> 01:33:21,160 Speaker 1: the Greyhound movie? And then, well, you know what, I'll 1594 01:33:21,200 --> 01:33:23,479 Speaker 1: give you a lifehack. Since your TV is too old, 1595 01:33:23,880 --> 01:33:25,920 Speaker 1: you do it on your computer. I'm plugging it into 1596 01:33:25,960 --> 01:33:35,080 Speaker 1: the TV. Oh that might work. Producer Mark Golf golf 1597 01:33:35,120 --> 01:33:37,600 Speaker 1: clap for producer Mark. Well done. I'm good with the 1598 01:33:37,640 --> 01:33:40,920 Speaker 1: tech stuff occasionally. Yeah, that's true. I had not thought 1599 01:33:40,920 --> 01:33:43,880 Speaker 1: about that. Yeah, Producer Mark is like mcgiver, only grumpier 1600 01:33:44,240 --> 01:33:46,840 Speaker 1: and doesn't have a mullet. You do not have a mullet, 1601 01:33:46,880 --> 01:33:49,920 Speaker 1: that's for sure. Yeah you have seen. I don't know, 1602 01:33:50,280 --> 01:33:54,840 Speaker 1: maybe you with the mullet by If that happens, we 1603 01:33:54,960 --> 01:33:57,559 Speaker 1: want selfies and we want it spread far and wide. 1604 01:33:57,640 --> 01:34:00,800 Speaker 1: I don't think my hair can grow that long, Oh man, 1605 01:34:00,840 --> 01:34:02,720 Speaker 1: I think anyone could. I think if you've got hair, 1606 01:34:02,800 --> 01:34:04,240 Speaker 1: you could pull off a mullet, you know what I mean, 1607 01:34:04,280 --> 01:34:06,559 Speaker 1: as long as it grows in anywhere. My hair is thinning, 1608 01:34:06,640 --> 01:34:08,920 Speaker 1: like I know, I'm gonna be bald in five years. 1609 01:34:09,560 --> 01:34:11,679 Speaker 1: I'm aware. So I don't think you can go that long. 1610 01:34:13,280 --> 01:34:15,160 Speaker 1: And maybe I could. Maybe I could try to bring 1611 01:34:15,240 --> 01:34:19,120 Speaker 1: back like akey breaky heart style mullet, like the real deal. 1612 01:34:19,240 --> 01:34:28,479 Speaker 1: You know, I'd watch it like sexactly. Um okay, UM 1613 01:34:28,880 --> 01:34:33,360 Speaker 1: let's go now to where's where we next on this? Yeah? 1614 01:34:33,439 --> 01:34:37,680 Speaker 1: Voicemail hit it. I thought this is I am from Alabama. Um. 1615 01:34:38,160 --> 01:34:41,559 Speaker 1: I'm hoping that President Trump will get reelected, But my 1616 01:34:41,600 --> 01:34:46,160 Speaker 1: main concern is what about the House and the Senate. 1617 01:34:46,600 --> 01:34:50,840 Speaker 1: If we lose those or don't gain enough, will the 1618 01:34:50,920 --> 01:34:54,160 Speaker 1: president be sort of walk down like it has been 1619 01:34:54,240 --> 01:34:57,320 Speaker 1: the last four years? Just miniage your thoughts on that 1620 01:34:57,560 --> 01:35:01,920 Speaker 1: thanks love the show. Ba Well, Diane from Alabama, thank 1621 01:35:01,960 --> 01:35:03,679 Speaker 1: you so much for calling in and for your kind 1622 01:35:03,720 --> 01:35:07,040 Speaker 1: of voicemail and and yeah, you know you you raise 1623 01:35:07,120 --> 01:35:09,720 Speaker 1: a very good point if we even if Trump does win, 1624 01:35:09,800 --> 01:35:16,160 Speaker 1: which will be amazing, Even if Trump does win, it 1625 01:35:16,160 --> 01:35:19,439 Speaker 1: seems to me that the House and the Senate, if 1626 01:35:19,439 --> 01:35:23,360 Speaker 1: they both go against Trump, we got we got big problems. 1627 01:35:23,479 --> 01:35:26,160 Speaker 1: Remember if they had the votes, they would have if 1628 01:35:26,160 --> 01:35:28,840 Speaker 1: they had the votes, and it would have had to 1629 01:35:28,840 --> 01:35:31,280 Speaker 1: be a two thirds majority, but they would have removed 1630 01:35:31,280 --> 01:35:34,879 Speaker 1: this president from office. Now you might say, well, thankfully 1631 01:35:34,880 --> 01:35:39,559 Speaker 1: the founders were genius enough to foresee this and make 1632 01:35:39,560 --> 01:35:42,360 Speaker 1: it so. It's really hard through just pure partisan rancor 1633 01:35:42,400 --> 01:35:45,639 Speaker 1: to remove a president through the impeachment process. It's got 1634 01:35:45,640 --> 01:35:50,040 Speaker 1: to be very clear. And remember it's impeachment and right 1635 01:35:50,080 --> 01:35:54,080 Speaker 1: impeachment of the House, removal in the Senate. But if 1636 01:35:54,120 --> 01:35:56,200 Speaker 1: they even have control of the Senate so they can 1637 01:35:56,200 --> 01:36:00,920 Speaker 1: have control of committees, they'll they'll just draw down the 1638 01:36:00,960 --> 01:36:05,360 Speaker 1: Trump administration in the second term in lawsuits, they'll just 1639 01:36:05,439 --> 01:36:07,599 Speaker 1: it'll just that's all. Look what they did the first term. 1640 01:36:07,760 --> 01:36:09,760 Speaker 1: This is the way that they do things. They don't 1641 01:36:09,800 --> 01:36:13,080 Speaker 1: make better arguments. They don't have. If they don't inspire people, 1642 01:36:13,439 --> 01:36:17,200 Speaker 1: they just lie and are vicious and undermine and use lawfare. 1643 01:36:17,479 --> 01:36:20,839 Speaker 1: So you raise a very valid point, a very real concern, 1644 01:36:20,880 --> 01:36:23,600 Speaker 1: which is what happens if he wins the presidency. But 1645 01:36:23,640 --> 01:36:28,840 Speaker 1: you've got both the House representatives and the Senate against him. 1646 01:36:28,960 --> 01:36:30,800 Speaker 1: It's gonna be a dog fight, is what it means. 1647 01:36:31,360 --> 01:36:35,120 Speaker 1: It's gonna be a dog fight. So what do we 1648 01:36:35,200 --> 01:36:38,200 Speaker 1: have here? Next? We got one more? Right? Two more? 1649 01:36:38,200 --> 01:36:42,120 Speaker 1: Here we go? Oh wow, very look at producer of 1650 01:36:42,640 --> 01:36:44,440 Speaker 1: oil to make sure we got a lot of voicemails. 1651 01:36:44,439 --> 01:36:48,839 Speaker 1: Look at you, sir, Hi Buck. It's Joanne from New Jersey. 1652 01:36:49,240 --> 01:36:52,559 Speaker 1: I had a thought, what if we eliminated the national 1653 01:36:52,600 --> 01:36:56,360 Speaker 1: anthem from all professional sports games? It would do away 1654 01:36:56,439 --> 01:36:59,600 Speaker 1: with a lot of angst and rob them of the 1655 01:36:59,600 --> 01:37:03,920 Speaker 1: effort ttunity to disrespect this country in athletic So it's 1656 01:37:03,960 --> 01:37:06,800 Speaker 1: so far removed from what it started out that it 1657 01:37:06,880 --> 01:37:09,800 Speaker 1: has no meaning for these people anyway. So let's just 1658 01:37:09,880 --> 01:37:14,920 Speaker 1: do without it. Thank you. Also is in from New Jersey. 1659 01:37:14,920 --> 01:37:19,719 Speaker 1: Thanks for calling in. I yeah, I mean, I'm if 1660 01:37:19,760 --> 01:37:21,920 Speaker 1: they're doing going to do what I think they're gonna 1661 01:37:21,920 --> 01:37:24,559 Speaker 1: do where they start having and I had producer Mark, 1662 01:37:24,600 --> 01:37:26,280 Speaker 1: had you ever heard of the I believe they call 1663 01:37:26,320 --> 01:37:30,640 Speaker 1: it the black what the black national anthem? Yes, I 1664 01:37:30,640 --> 01:37:32,320 Speaker 1: think the NFL has said they're going to play that 1665 01:37:32,400 --> 01:37:35,360 Speaker 1: at the beginning of Week one games. I had never 1666 01:37:35,439 --> 01:37:38,280 Speaker 1: heard of this piece. I hadn't never either. You. Okay, 1667 01:37:38,600 --> 01:37:43,080 Speaker 1: so there's a there's a black national anthem. Apparently I 1668 01:37:43,120 --> 01:37:45,240 Speaker 1: did not. I'm being serious, I'd never heard of it before. 1669 01:37:46,320 --> 01:37:50,960 Speaker 1: If they're going to do things like that in professional sports, one, 1670 01:37:51,160 --> 01:37:52,720 Speaker 1: I'm going to have a very hard time watching any 1671 01:37:52,720 --> 01:37:56,559 Speaker 1: professional sports because a huge part of the appeal of 1672 01:37:56,560 --> 01:38:00,240 Speaker 1: sports for me is the escape from the politics. And 1673 01:38:00,280 --> 01:38:02,000 Speaker 1: if they're going to play politics with this and then 1674 01:38:02,040 --> 01:38:05,280 Speaker 1: kneeling and everything else. But you know, Diane, know the 1675 01:38:05,360 --> 01:38:07,479 Speaker 1: thing about what what oh Susan rather started, Diane was 1676 01:38:07,479 --> 01:38:10,840 Speaker 1: before Susan. The issue with what you're saying is that 1677 01:38:10,880 --> 01:38:12,600 Speaker 1: they'll do I think what they want to do. The 1678 01:38:12,640 --> 01:38:14,599 Speaker 1: leagues will do what they want to do, So it's 1679 01:38:14,600 --> 01:38:20,360 Speaker 1: not like they get government permission for the government permission 1680 01:38:20,360 --> 01:38:22,160 Speaker 1: to do the national anthem. But I would say this, 1681 01:38:22,680 --> 01:38:26,360 Speaker 1: I think that there should certainly be a rethink of 1682 01:38:26,840 --> 01:38:30,519 Speaker 1: you know, military flyovers at NFL games, and you know, 1683 01:38:30,560 --> 01:38:34,400 Speaker 1: honor guards and marines from the honorary all. I don't 1684 01:38:34,400 --> 01:38:36,320 Speaker 1: know they should be shown up at these professional sporting 1685 01:38:36,320 --> 01:38:41,280 Speaker 1: events anymore. You know, the NFL has worked very hard 1686 01:38:41,400 --> 01:38:46,439 Speaker 1: to create this perception of it as America's game, and 1687 01:38:46,640 --> 01:38:49,479 Speaker 1: particularly using a lot of support for the troops and 1688 01:38:49,520 --> 01:38:52,479 Speaker 1: a lot of a lot of military and I love that. 1689 01:38:52,560 --> 01:38:55,640 Speaker 1: I mean that, that's all great, But you know he 1690 01:38:55,680 --> 01:38:58,320 Speaker 1: can't do that and have like disrespect to the flag 1691 01:38:58,360 --> 01:39:01,320 Speaker 1: at the beginning of the game, and people coming up 1692 01:39:01,360 --> 01:39:04,000 Speaker 1: with different anthems than the national anthem, and so on 1693 01:39:04,040 --> 01:39:08,200 Speaker 1: and so forth. Richer, Mark, what do you think I 1694 01:39:08,200 --> 01:39:11,479 Speaker 1: mean the NFL last time this happened, they a lot 1695 01:39:11,520 --> 01:39:13,839 Speaker 1: of teams just didn't come out for the national anthem. 1696 01:39:13,840 --> 01:39:17,000 Speaker 1: It was played in the team stayed in the locker room. 1697 01:39:17,040 --> 01:39:20,880 Speaker 1: I think. I mean in hockey, I've always liked it. 1698 01:39:20,920 --> 01:39:23,479 Speaker 1: There's been some national anthems at the garden where the 1699 01:39:23,520 --> 01:39:27,240 Speaker 1: stadium's rocking, everyone's singing along. I can go either way. 1700 01:39:27,280 --> 01:39:30,800 Speaker 1: Like I would miss it sometimes like in a playoff atmosphere, 1701 01:39:31,160 --> 01:39:33,679 Speaker 1: but I wouldn't really miss it on an every day game. 1702 01:39:33,800 --> 01:39:38,120 Speaker 1: Like what's the difference? Just play sports man, I just 1703 01:39:38,479 --> 01:39:41,840 Speaker 1: I just wish professional leagues would be about sports, but 1704 01:39:41,960 --> 01:39:44,640 Speaker 1: that's very apparently too much to ask these days. All right, 1705 01:39:44,640 --> 01:39:48,320 Speaker 1: prison Mark, next one hit it, Hey christ when Spokane, Washington. 1706 01:39:49,160 --> 01:39:52,480 Speaker 1: So I just wanted to thank you for being straightforward 1707 01:39:52,479 --> 01:39:56,519 Speaker 1: and honest about what you talk about. There's other talk 1708 01:39:56,520 --> 01:40:01,080 Speaker 1: show hosts who unnecessarily the little and demean other people, 1709 01:40:02,120 --> 01:40:04,200 Speaker 1: and I don't necessarily agree with that, even if you 1710 01:40:04,200 --> 01:40:06,000 Speaker 1: don't agree with them, of you, if you don't like them, 1711 01:40:06,320 --> 01:40:08,920 Speaker 1: it doesn't do any good to belittle and demean and 1712 01:40:09,040 --> 01:40:11,840 Speaker 1: demoralize other people. So thank you for what you're doing 1713 01:40:11,840 --> 01:40:14,960 Speaker 1: and being honest and straightforward and to a point, keep 1714 01:40:14,960 --> 01:40:20,480 Speaker 1: it up. Well. Thank you for calling in from Spokane, Washington. 1715 01:40:20,600 --> 01:40:27,280 Speaker 1: And yes, I do not out of professional jealousy or 1716 01:40:27,560 --> 01:40:36,679 Speaker 1: spite or insecurity, go after other conservatives. I don't do it. 1717 01:40:37,200 --> 01:40:40,559 Speaker 1: You'll know that from listening to my show. Other people 1718 01:40:40,640 --> 01:40:44,599 Speaker 1: do it. Other people do it, especially if they lose 1719 01:40:44,880 --> 01:40:49,080 Speaker 1: in the demo, let's say, for an hour of their 1720 01:40:49,080 --> 01:40:51,920 Speaker 1: show in a major market, somebody who has admit in 1721 01:40:51,960 --> 01:40:54,720 Speaker 1: the market all that long. Other people do stuff like that. 1722 01:40:55,439 --> 01:40:58,680 Speaker 1: I don't do stuff like that. I let the work 1723 01:40:58,720 --> 01:41:01,240 Speaker 1: speak for itself, and I appreciate the time that everyone 1724 01:41:01,280 --> 01:41:03,720 Speaker 1: gives me here by listening to me every day. And 1725 01:41:03,760 --> 01:41:05,680 Speaker 1: I really mean that. I mean I'm actually humbled by it, 1726 01:41:05,800 --> 01:41:07,680 Speaker 1: and I don't and I know that sounds whenever someone 1727 01:41:07,720 --> 01:41:09,120 Speaker 1: says they're humble by it. It's like, hey, and I 1728 01:41:09,120 --> 01:41:11,639 Speaker 1: really have no I really I'm every day I walk 1729 01:41:11,680 --> 01:41:13,760 Speaker 1: around and I just kind of like, I'm amazed at 1730 01:41:13,800 --> 01:41:15,360 Speaker 1: how much we've been able to build up the show 1731 01:41:15,400 --> 01:41:19,400 Speaker 1: and how many wonderful people appreciate what the work that 1732 01:41:19,479 --> 01:41:21,080 Speaker 1: Mark and I do here every day. And the Freedom 1733 01:41:21,160 --> 01:41:23,519 Speaker 1: Hunt have producer Nick, who you never got you guys 1734 01:41:23,520 --> 01:41:25,000 Speaker 1: never get to hear from, but he helps us on 1735 01:41:25,080 --> 01:41:28,640 Speaker 1: the on the First, which is the video version of 1736 01:41:28,680 --> 01:41:31,240 Speaker 1: the show that we do every day. But yeah, I 1737 01:41:31,280 --> 01:41:34,160 Speaker 1: know I don't. I don't take cheap shots period, but 1738 01:41:34,200 --> 01:41:37,479 Speaker 1: I definitely don't take cheap shots at fellow conservatives. I 1739 01:41:37,520 --> 01:41:40,040 Speaker 1: wish I could say that about everybody on the right, 1740 01:41:40,240 --> 01:41:44,800 Speaker 1: but you can't. Some people are petty, greedy and nasty. 1741 01:41:44,920 --> 01:41:46,519 Speaker 1: And I'll just leave it there. But thank you for 1742 01:41:46,520 --> 01:41:51,760 Speaker 1: calling in. You're in the Freedom Hunt. This is the 1743 01:41:51,880 --> 01:41:58,320 Speaker 1: Buck Sexton Show podcast. Okay, now we get into the 1744 01:41:58,320 --> 01:42:00,680 Speaker 1: written rule call the finished Things up. Make sure you 1745 01:42:00,680 --> 01:42:03,240 Speaker 1: go to Bucksexen dot com and please please check out 1746 01:42:03,439 --> 01:42:07,120 Speaker 1: our Buckbrief that we post every day on Facebook, and 1747 01:42:07,200 --> 01:42:09,480 Speaker 1: the single most helpful thing if you liked the Buckbrief, 1748 01:42:09,479 --> 01:42:11,200 Speaker 1: which is kind of a it's like if we took 1749 01:42:11,240 --> 01:42:13,679 Speaker 1: this show and did it in four minutes or less, 1750 01:42:13,880 --> 01:42:17,400 Speaker 1: which we do every day now well Monday to Friday. 1751 01:42:17,560 --> 01:42:19,519 Speaker 1: If you think that's a cool idea, the best thing 1752 01:42:19,560 --> 01:42:22,639 Speaker 1: you can do is to share it to your Facebook page. 1753 01:42:22,720 --> 01:42:24,760 Speaker 1: That's how that's how you really help with things. And 1754 01:42:24,800 --> 01:42:26,639 Speaker 1: obviously to watch it on your on your own, which 1755 01:42:26,640 --> 01:42:30,040 Speaker 1: we appreciate very much. And go to Bucksexton dot com. 1756 01:42:30,120 --> 01:42:33,000 Speaker 1: We've got an up some upgrades coming to the site 1757 01:42:33,040 --> 01:42:36,200 Speaker 1: this weekend. We are doing cool things and it's rainy 1758 01:42:36,280 --> 01:42:38,760 Speaker 1: and there's no snow Princess in town this weekend. So 1759 01:42:38,880 --> 01:42:40,959 Speaker 1: maybe I don't know, maybe there'll be a history podcast 1760 01:42:40,960 --> 01:42:44,519 Speaker 1: that happens. You never know, zero chance. I just want 1761 01:42:44,520 --> 01:42:47,679 Speaker 1: to prepare the listeners. It's not going to happen. Don't 1762 01:42:47,680 --> 01:42:51,080 Speaker 1: listen to it, you know, you never know. Of all right, 1763 01:42:51,520 --> 01:42:55,000 Speaker 1: we have the written we have the written stuff here. 1764 01:42:55,479 --> 01:42:57,880 Speaker 1: Oh where did what? Where's the written? Oh no, you did? 1765 01:42:57,880 --> 01:42:59,200 Speaker 1: You did send it to me. I was gonna give 1766 01:42:59,240 --> 01:43:01,080 Speaker 1: you crap, but you act you did sound it to me. Okay, 1767 01:43:01,560 --> 01:43:05,880 Speaker 1: Susie Rights, Hey Buck from Alaska. Hello, I have an 1768 01:43:05,920 --> 01:43:07,640 Speaker 1: idea to get the left to get on board with 1769 01:43:07,680 --> 01:43:10,160 Speaker 1: opening all the schools in the fall. We just need 1770 01:43:10,200 --> 01:43:14,080 Speaker 1: Trump to go pro homeschooling and reallocate federal funding and 1771 01:43:14,120 --> 01:43:19,400 Speaker 1: expand homeschooling programs, including programs with face based, faith based curriculum. 1772 01:43:19,840 --> 01:43:21,599 Speaker 1: Then the left will have to decide which it hates 1773 01:43:21,680 --> 01:43:26,360 Speaker 1: more COVID nineteen cases or religious stay at home moms. 1774 01:43:26,800 --> 01:43:28,800 Speaker 1: I am not a homeschooling mom, but many of my 1775 01:43:28,880 --> 01:43:32,200 Speaker 1: close friends are, and the leftists have zero love for them. 1776 01:43:32,840 --> 01:43:36,240 Speaker 1: And my experience, modern feminism or leftism doesn't have any 1777 01:43:36,320 --> 01:43:39,679 Speaker 1: room for women who support traditional Christian values, family values, 1778 01:43:39,840 --> 01:43:42,920 Speaker 1: and many families homeschool to reinforce traditional family values in 1779 01:43:42,960 --> 01:43:49,800 Speaker 1: the next generation. Very thoughtful and eloquence, Susie. Thank you 1780 01:43:51,280 --> 01:43:55,080 Speaker 1: from up in Alaska. Very cool. I watched the movie 1781 01:43:55,320 --> 01:43:59,920 Speaker 1: The Gray recently, which is about wolves chasing Liam Ni 1782 01:44:00,240 --> 01:44:02,479 Speaker 1: who randomly there's some British guy hanging out with all 1783 01:44:02,479 --> 01:44:04,680 Speaker 1: these other guys in Alaska who are clearly American. But 1784 01:44:05,200 --> 01:44:09,799 Speaker 1: a side note, I think actually he's Irish. Is he Irish? 1785 01:44:09,840 --> 01:44:14,160 Speaker 1: I think he's Irish. But they're chased by cgi wolves. 1786 01:44:14,160 --> 01:44:17,400 Speaker 1: And even though it's ridiculous, and wolves I don't think 1787 01:44:17,439 --> 01:44:19,559 Speaker 1: have ever. I don't think there's ever a documented case 1788 01:44:19,560 --> 01:44:22,599 Speaker 1: of healthy wolves eating a human being in recorded history. 1789 01:44:23,040 --> 01:44:26,160 Speaker 1: But man, it's a fun it's a fun watch. Anyway, 1790 01:44:26,240 --> 01:44:28,679 Speaker 1: It's like it's all cold and the wolves are scary. 1791 01:44:29,200 --> 01:44:32,960 Speaker 1: I digress. Frank so I was listening today's podcast and 1792 01:44:32,960 --> 01:44:34,760 Speaker 1: one of the listeners wrote in that during roll call, 1793 01:44:34,840 --> 01:44:36,879 Speaker 1: he had a friend who went in to get tested 1794 01:44:36,920 --> 01:44:39,080 Speaker 1: for COVID nineteen, but from what you read, it sounded 1795 01:44:39,120 --> 01:44:41,400 Speaker 1: like his friend was never actually tested get still received 1796 01:44:41,400 --> 01:44:44,160 Speaker 1: a call testing that he stated positive. You then went 1797 01:44:44,200 --> 01:44:46,120 Speaker 1: on to correctly talking about how the entire tracing thing 1798 01:44:46,200 --> 01:44:49,040 Speaker 1: is ridiculous because these tests are taking three to four 1799 01:44:49,120 --> 01:44:51,439 Speaker 1: days to come back. I think you may have missed 1800 01:44:51,439 --> 01:44:53,240 Speaker 1: the point, though, which that this guy's friend never actually 1801 01:44:53,280 --> 01:44:56,040 Speaker 1: took a test but received a call that he tested positive. Anyway, 1802 01:44:56,360 --> 01:44:58,439 Speaker 1: is that they're inflating the numbers by having people sign 1803 01:44:58,560 --> 01:45:01,400 Speaker 1: up for tests they hope they don't get added into 1804 01:45:01,400 --> 01:45:04,640 Speaker 1: the assumed positive category. Anyway, you and producer Mark are 1805 01:45:04,680 --> 01:45:07,040 Speaker 1: literally the most entertaining duo on talk radio. Thank you 1806 01:45:07,080 --> 01:45:09,479 Speaker 1: so much for what you do. Oh, thank you, man, 1807 01:45:09,520 --> 01:45:12,280 Speaker 1: that's very nice. We appreciate that well. I cannot grow 1808 01:45:12,320 --> 01:45:14,840 Speaker 1: a beard. I'm a thirty seven year old gray beard, 1809 01:45:14,920 --> 01:45:18,680 Speaker 1: fiercely independent conservative, Marvel and DC loving Star Trek and 1810 01:45:18,760 --> 01:45:23,639 Speaker 1: Star Wars fan, black American millennial whose favorite TV show 1811 01:45:23,640 --> 01:45:27,120 Speaker 1: of all time is proudly stated as Friends, hands down period. 1812 01:45:27,479 --> 01:45:29,880 Speaker 1: I love passing the buck and do it often. People 1813 01:45:29,960 --> 01:45:32,320 Speaker 1: enjoy your chill attitude and welcome vibes. Keep up the 1814 01:45:32,320 --> 01:45:35,680 Speaker 1: good workshields high, Frank, I feel like we're gonna be buddies. Man. 1815 01:45:35,760 --> 01:45:39,160 Speaker 1: Thank you so much. Frank sounds awesome. I gotta I 1816 01:45:39,200 --> 01:45:41,320 Speaker 1: gotta get my PS four, which I'm thinking about doing 1817 01:45:41,360 --> 01:45:42,840 Speaker 1: so I can play Call of Duty and then Frank 1818 01:45:42,840 --> 01:45:44,719 Speaker 1: and I can play on the same Call of Duty team. 1819 01:45:44,840 --> 01:45:47,439 Speaker 1: Except his favorite TV show of all time. It's just 1820 01:45:47,479 --> 01:45:51,160 Speaker 1: a bad show. Frank, you right into producer Mark and 1821 01:45:51,240 --> 01:45:52,760 Speaker 1: you tell him to luck that up, all right, You 1822 01:45:52,840 --> 01:45:54,599 Speaker 1: tell him to lock it up with his and it's 1823 01:45:54,640 --> 01:45:56,800 Speaker 1: not because it's getting canceled recently. I want to point 1824 01:45:56,800 --> 01:45:58,599 Speaker 1: that out there. It's just a bad show in general. 1825 01:45:59,000 --> 01:46:04,840 Speaker 1: I don't even know what seriously, Paul writing Harry Cliche, 1826 01:46:04,880 --> 01:46:07,520 Speaker 1: you don't like Joey TRIBIONI. I feel like Joey TRIBIONI 1827 01:46:07,560 --> 01:46:10,920 Speaker 1: and you were like high school friends like George Castanza. 1828 01:46:11,920 --> 01:46:14,960 Speaker 1: Oh that does not that is not a surprise. I 1829 01:46:15,040 --> 01:46:17,720 Speaker 1: am Maureen. You guys are the best, two of my 1830 01:46:17,800 --> 01:46:20,479 Speaker 1: favorite people. Love your podcasts and website. I sure notice 1831 01:46:20,479 --> 01:46:23,880 Speaker 1: producer marks extra saltiness on Tuesday. I think he wants 1832 01:46:23,960 --> 01:46:26,160 Speaker 1: us all to know he's not cuddly like you said 1833 01:46:26,200 --> 01:46:28,760 Speaker 1: he was. He didn't like that very much, so as 1834 01:46:28,800 --> 01:46:31,120 Speaker 1: Fouchi the fraud and idiot, or is he just being 1835 01:46:31,120 --> 01:46:35,479 Speaker 1: deliberately uptus so as to perpetuate the DNC agenda. The 1836 01:46:35,600 --> 01:46:38,280 Speaker 1: spike and COVID is not due to responsible reopenings as 1837 01:46:38,320 --> 01:46:41,639 Speaker 1: he claimed, it's due to protesters, rioters, looters, and over 1838 01:46:41,680 --> 01:46:44,880 Speaker 1: a million tests today being done, which naturally shows more 1839 01:46:45,120 --> 01:46:48,559 Speaker 1: cases cases are in deaths. Thanks for all you do. 1840 01:46:48,600 --> 01:46:50,680 Speaker 1: Your hard work and efforts haven't gone on. Notice it's 1841 01:46:50,680 --> 01:46:54,800 Speaker 1: appreciated far more than you know. Well, we really appreciate that. 1842 01:46:54,920 --> 01:46:57,640 Speaker 1: Thank you so much for the kind words. Everybody, that's 1843 01:46:57,680 --> 01:47:00,760 Speaker 1: gonna be the show for this kind of Ray and 1844 01:47:01,080 --> 01:47:03,880 Speaker 1: Sad Friday from New York City. Hopefully it's nice wherever 1845 01:47:03,920 --> 01:47:06,639 Speaker 1: you are. Talk to you all Monday. Have a great weekend. 1846 01:47:06,680 --> 01:47:09,120 Speaker 1: Make sure you pass the buck when you can. She'll 1847 01:47:09,200 --> 01:47:09,439 Speaker 1: tie