1 00:00:01,360 --> 00:00:04,120 Speaker 1: You're in the Freedom Hunt. This is the Buck Sexton 2 00:00:04,160 --> 00:00:07,520 Speaker 1: Show podcast. Get more from Buck by following him on 3 00:00:07,600 --> 00:00:11,440 Speaker 1: social media at buck Sexton on Facebook, Twitter, and Instagram. 4 00:00:12,080 --> 00:00:15,600 Speaker 1: Welcome friends to the Buck Sexton Show. You know that 5 00:00:15,640 --> 00:00:18,680 Speaker 1: it's going to be quite a day when the President 6 00:00:18,680 --> 00:00:21,760 Speaker 1: of the United States, with his eighty million plus followers, 7 00:00:22,480 --> 00:00:26,759 Speaker 1: retweets a question you ask about masks. You know that 8 00:00:26,800 --> 00:00:29,480 Speaker 1: it's going to be one of those days that all 9 00:00:29,520 --> 00:00:33,920 Speaker 1: of a sudden, the left, the lockdown lives, the loons, science, 10 00:00:34,800 --> 00:00:38,160 Speaker 1: They're coming at you from all corners, and I'm having 11 00:00:38,159 --> 00:00:39,880 Speaker 1: one of those days. So I want to dive into 12 00:00:39,880 --> 00:00:42,680 Speaker 1: this a little bit because when you have the leader 13 00:00:42,680 --> 00:00:45,479 Speaker 1: of the free world think that what you've said is 14 00:00:45,640 --> 00:00:49,120 Speaker 1: worth sharing to everybody, and it causes a stir. There's 15 00:00:49,120 --> 00:00:53,479 Speaker 1: already a story up in the Daily Mail about it, 16 00:00:54,000 --> 00:00:57,200 Speaker 1: so this is getting a whole lot of a whole 17 00:00:57,200 --> 00:01:02,080 Speaker 1: lot of activity. I think it's looking at this, it's 18 00:01:02,080 --> 00:01:05,000 Speaker 1: worth understanding really what the debate is because on the 19 00:01:05,080 --> 00:01:09,760 Speaker 1: same day that this has sparked kind of a fury online, 20 00:01:10,520 --> 00:01:13,840 Speaker 1: Governor Cuomo of New York has said that you are 21 00:01:13,920 --> 00:01:17,680 Speaker 1: not allowed to go indoors for the sole purpose of 22 00:01:17,800 --> 00:01:21,400 Speaker 1: using the restroom one at a time in a restaurant 23 00:01:21,640 --> 00:01:24,760 Speaker 1: with outdoor dining that is still for the time being allowed. 24 00:01:26,160 --> 00:01:30,720 Speaker 1: So you can eat outdoors by law in New York City, 25 00:01:30,959 --> 00:01:36,000 Speaker 1: but you cannot pee indoors by law in New York City. 26 00:01:36,240 --> 00:01:39,960 Speaker 1: But because of Mayor Dublasio, you can in fact relieve 27 00:01:40,040 --> 00:01:44,080 Speaker 1: yourself on the street in New York City without getting 28 00:01:44,080 --> 00:01:46,479 Speaker 1: a criminal summons. That was a nice change to things 29 00:01:46,480 --> 00:01:49,440 Speaker 1: that he put into place, As if it didn't smell 30 00:01:49,480 --> 00:01:53,800 Speaker 1: like an open sewer here enough already? When is it 31 00:01:53,840 --> 00:01:57,760 Speaker 1: too much? When do people realize that the things they 32 00:01:57,800 --> 00:02:01,480 Speaker 1: are making us do at the elites who do not 33 00:02:01,600 --> 00:02:04,640 Speaker 1: take these rules seriously for their own purposes but love 34 00:02:04,680 --> 00:02:06,320 Speaker 1: to inflict them on all the rest of us. When 35 00:02:06,320 --> 00:02:10,799 Speaker 1: do we realize that this is crazy, That there are 36 00:02:10,919 --> 00:02:13,080 Speaker 1: risks in life, that there are things that are going 37 00:02:13,120 --> 00:02:17,359 Speaker 1: to be continuing problems for us, including this COVID virus. 38 00:02:17,960 --> 00:02:22,600 Speaker 1: But we shouldn't just obey everything the government says because 39 00:02:22,680 --> 00:02:25,920 Speaker 1: they say so. How could I argue against this og 40 00:02:26,080 --> 00:02:28,200 Speaker 1: There are so many ways. The Tests and Trace Corps 41 00:02:28,200 --> 00:02:31,280 Speaker 1: in New York City only tests and Trace for people 42 00:02:31,320 --> 00:02:35,480 Speaker 1: who have been indoors exposed to somebody with COVID for 43 00:02:35,480 --> 00:02:39,840 Speaker 1: fifteen minutes or more. How many of you need fifteen 44 00:02:39,880 --> 00:02:43,240 Speaker 1: minutes in the bathroom at a restaurant, Probably not very many. 45 00:02:44,639 --> 00:02:47,040 Speaker 1: So what are they really saying? You mask up when 46 00:02:47,040 --> 00:02:50,120 Speaker 1: you go to the bathroom. You have to wear a mask. 47 00:02:50,160 --> 00:02:51,560 Speaker 1: I mean if you get up from the table. I 48 00:02:51,720 --> 00:02:55,720 Speaker 1: have been in restaurants where they have made people who 49 00:02:55,800 --> 00:02:57,519 Speaker 1: got up to go to the they're sitting there without 50 00:02:57,520 --> 00:02:59,280 Speaker 1: a mask on. Because this all makes a lot of sense, 51 00:02:59,400 --> 00:03:01,000 Speaker 1: But you put them ask on when you go to 52 00:03:01,040 --> 00:03:06,440 Speaker 1: the bathroom. But somehow that's not, say even one at 53 00:03:06,480 --> 00:03:08,799 Speaker 1: a time from the outside to inside. Not safe enough. 54 00:03:09,080 --> 00:03:13,000 Speaker 1: Don't pe indoors, pe on the street. That's Cuomo's COVID 55 00:03:13,040 --> 00:03:18,200 Speaker 1: policy right now. That's where we are, And I just 56 00:03:18,240 --> 00:03:22,280 Speaker 1: want to know how much more humiliating does it get 57 00:03:22,320 --> 00:03:24,880 Speaker 1: before everyone realizes that. I know some of you saying, oh, buck, 58 00:03:24,919 --> 00:03:26,800 Speaker 1: but it's not as bad in my part of the country. 59 00:03:27,520 --> 00:03:31,040 Speaker 1: What do you think a Biden administration's gonna do? What 60 00:03:31,120 --> 00:03:32,640 Speaker 1: do you think you think they're gonna let this go? 61 00:03:32,880 --> 00:03:34,960 Speaker 1: Or they're gonna federalize as much of this as they 62 00:03:35,000 --> 00:03:38,240 Speaker 1: possibly can. They're gonna pressure states. You don't think they'll 63 00:03:38,240 --> 00:03:41,400 Speaker 1: threaten withhold federal funding unless your state kicks in some 64 00:03:41,520 --> 00:03:47,400 Speaker 1: of these more extreme mandates too, Think again. The Obama 65 00:03:47,440 --> 00:03:52,760 Speaker 1: administration threatened to withhold funds from Department of Education budgets 66 00:03:52,960 --> 00:03:59,360 Speaker 1: unless a state complied with its transgender primary school policy. 67 00:03:59,440 --> 00:04:02,640 Speaker 1: Remember gender bathroom musice. We're gonna pull public school funding 68 00:04:04,120 --> 00:04:11,000 Speaker 1: unless this state in question concedes, unless they unless they 69 00:04:11,040 --> 00:04:12,400 Speaker 1: give up and do what we tell them to do. 70 00:04:13,040 --> 00:04:16,279 Speaker 1: And you don't think they'll do that in a Bide administration. 71 00:04:16,360 --> 00:04:18,240 Speaker 1: If you think this is a New York only problem, 72 00:04:18,279 --> 00:04:21,040 Speaker 1: I'm here to tell you this whole thing was pretty 73 00:04:21,080 --> 00:04:24,320 Speaker 1: much a New York only problem back in February March. 74 00:04:25,640 --> 00:04:28,320 Speaker 1: How long has it been now almost a year. And 75 00:04:28,440 --> 00:04:30,960 Speaker 1: so that brings me to how much more are we 76 00:04:31,000 --> 00:04:33,479 Speaker 1: going to take of this? Because we're we're heading for 77 00:04:33,640 --> 00:04:36,920 Speaker 1: at least six more months of it up down? How 78 00:04:37,000 --> 00:04:39,839 Speaker 1: much more? How much more are we going to suffer through? 79 00:04:40,360 --> 00:04:43,320 Speaker 1: That's right. They make these arbitrary decisions and they'll pull 80 00:04:43,600 --> 00:04:46,560 Speaker 1: they'll pull your liquor license, which shuts down a restaurant. 81 00:04:46,560 --> 00:04:48,800 Speaker 1: You can't make a profit, you can't survive without it. 82 00:04:48,920 --> 00:04:51,000 Speaker 1: Let's pull your liquor license if you let people go 83 00:04:51,040 --> 00:04:53,760 Speaker 1: to the bathroom, but we're masking up when you go 84 00:04:53,800 --> 00:04:56,520 Speaker 1: to the bathos. I thought masks were really effective. I 85 00:04:56,560 --> 00:04:58,360 Speaker 1: can't mask up and go to the bathroom. I thought 86 00:04:58,400 --> 00:05:01,080 Speaker 1: I should be fine. Nope, not allowed because they say so, 87 00:05:02,680 --> 00:05:05,680 Speaker 1: oh yeah, where's the science on this? Where's the science 88 00:05:05,720 --> 00:05:07,920 Speaker 1: on all these people outdoors wearing masks all the time. 89 00:05:09,000 --> 00:05:11,560 Speaker 1: Just wondering, does anyone want to try to explain to 90 00:05:11,600 --> 00:05:14,640 Speaker 1: me if it's one percent in restaurants, thousands and thousands 91 00:05:14,680 --> 00:05:16,960 Speaker 1: of restaurants that have had indoor dining for months now, 92 00:05:17,240 --> 00:05:19,840 Speaker 1: and that's what they think the COVID spread is, might 93 00:05:19,839 --> 00:05:22,279 Speaker 1: be a little more, might be a little less. What 94 00:05:22,480 --> 00:05:25,520 Speaker 1: is it outdoors? Probably close to zero? But everyone wearing 95 00:05:25,520 --> 00:05:27,560 Speaker 1: masks anyway, and if you don't, people look at you 96 00:05:27,600 --> 00:05:30,200 Speaker 1: like you're a crazy person. This is a cult. Now, 97 00:05:30,600 --> 00:05:33,320 Speaker 1: this has gone beyond There are times and just to 98 00:05:33,400 --> 00:05:37,480 Speaker 1: be very clear, there are circumstances where in a clinical 99 00:05:37,520 --> 00:05:41,400 Speaker 1: setting in a hospital around elderly relatives, there are times 100 00:05:41,400 --> 00:05:43,919 Speaker 1: when I think, yeah, a little extra precaution is called for. 101 00:05:44,120 --> 00:05:47,720 Speaker 1: We have gone way beyond that, and we're not even 102 00:05:47,760 --> 00:05:50,440 Speaker 1: allowed to talk about this anymore, and that then brings 103 00:05:50,480 --> 00:05:52,680 Speaker 1: me to so, like I said, we are at the 104 00:05:52,720 --> 00:05:57,240 Speaker 1: point now where they are actually humiliating us. They are 105 00:05:57,360 --> 00:06:01,960 Speaker 1: humiliating American citizens. They're making us do stuff that is absurd, 106 00:06:02,120 --> 00:06:05,960 Speaker 1: is appalling, and is demeaning to protect us because doctor 107 00:06:06,000 --> 00:06:10,000 Speaker 1: Fauci says so, because the fouch. He's like, hey, no 108 00:06:10,160 --> 00:06:13,680 Speaker 1: Christmas for you, no New Years, no January, no February, 109 00:06:13,720 --> 00:06:15,640 Speaker 1: maybe March. You can start to breathe fresh air, go 110 00:06:15,680 --> 00:06:19,599 Speaker 1: outside for a minute, maybe a minute, not more. What 111 00:06:19,760 --> 00:06:23,360 Speaker 1: exactly has this guy contributed to this? What breakthrough is? 112 00:06:23,400 --> 00:06:26,360 Speaker 1: He responds before, what brilliant policy has he advocated for? 113 00:06:27,720 --> 00:06:30,080 Speaker 1: And then that brings me to the mask mandate whige 114 00:06:30,080 --> 00:06:33,960 Speaker 1: And this is what President Trump. This is what President 115 00:06:33,960 --> 00:06:38,720 Speaker 1: Trump retweeted this morning, which is why I have blue 116 00:06:38,760 --> 00:06:41,840 Speaker 1: check journal small over the place. I also love it. 117 00:06:41,920 --> 00:06:43,760 Speaker 1: I love it when they when they refer to me 118 00:06:43,800 --> 00:06:45,919 Speaker 1: as stupid, and I just kind of laugh because I 119 00:06:45,920 --> 00:06:49,239 Speaker 1: think we all know that I'm smarter than you live journal, 120 00:06:49,360 --> 00:06:52,400 Speaker 1: Like everyone who knows anything actually understands that. So don't 121 00:06:52,520 --> 00:06:54,840 Speaker 1: I wouldn't go there. I would go I would find 122 00:06:54,880 --> 00:06:57,719 Speaker 1: another place for the battle, you know, make fun of 123 00:06:57,760 --> 00:06:59,839 Speaker 1: my name, which they all like to do. That's fine whatever. 124 00:07:00,120 --> 00:07:02,400 Speaker 1: I mean, people that do that are so pathetic and 125 00:07:02,480 --> 00:07:05,159 Speaker 1: not clever that it's it's actually amusing to me. But 126 00:07:06,760 --> 00:07:09,400 Speaker 1: this is the tweet that has gotten now you know, 127 00:07:09,440 --> 00:07:11,520 Speaker 1: the daily mails writing it up at everyone's all. Oh 128 00:07:11,560 --> 00:07:14,440 Speaker 1: my gosh. So a fellow I don't even know this guy, 129 00:07:14,840 --> 00:07:19,280 Speaker 1: but he just shared an interesting graphic. His name is 130 00:07:19,600 --> 00:07:25,440 Speaker 1: his Twitter handle is ian MSc and he shared he 131 00:07:25,560 --> 00:07:30,840 Speaker 1: shared data from our world in data, so that was 132 00:07:30,880 --> 00:07:35,240 Speaker 1: the source on it. And it is about mask mandates, 133 00:07:36,560 --> 00:07:39,360 Speaker 1: and he wrote, while Denmark already had a mask mandate 134 00:07:39,400 --> 00:07:43,080 Speaker 1: for public transit, they expanded mask requirements on ten twenty 135 00:07:43,160 --> 00:07:47,679 Speaker 1: nine to cover all indoor public spaces. So let's see 136 00:07:47,720 --> 00:07:51,920 Speaker 1: how that's working out for them. So on August, Denmark 137 00:07:52,000 --> 00:07:55,920 Speaker 1: had a very very low level of cases. Right, very 138 00:07:55,920 --> 00:07:58,440 Speaker 1: low level of cases per million is the way the 139 00:07:58,480 --> 00:08:02,600 Speaker 1: graphic is shown. And you're at basically twenty five cases 140 00:08:02,640 --> 00:08:07,120 Speaker 1: per million. All twenty five cases per million, let's say, 141 00:08:07,160 --> 00:08:09,400 Speaker 1: all through the summer, so very very few, can deme 142 00:08:09,640 --> 00:08:12,720 Speaker 1: Denmark only has about it, I think of ten million 143 00:08:12,760 --> 00:08:15,560 Speaker 1: people something like that. I gotta check on the population actually, 144 00:08:16,520 --> 00:08:21,240 Speaker 1: but they had very low cases and then all of 145 00:08:21,280 --> 00:08:23,800 Speaker 1: a sudden they got I'm sorry, five million. Sweden is 146 00:08:23,800 --> 00:08:26,760 Speaker 1: ten million, Denmark is five point eight million, So they 147 00:08:26,760 --> 00:08:29,120 Speaker 1: had very few cases. And then they put a public 148 00:08:29,160 --> 00:08:32,200 Speaker 1: mask mandate in an August twenty second and you get 149 00:08:32,280 --> 00:08:34,280 Speaker 1: into September and all of a sudden, the cases have 150 00:08:34,400 --> 00:08:39,280 Speaker 1: basically at least doubled or tripled, maybe quadrupled. And then 151 00:08:39,320 --> 00:08:41,440 Speaker 1: you get to October twenty ninth, and then they have 152 00:08:41,480 --> 00:08:45,080 Speaker 1: an all indoor spaces mask mandate, and then you get 153 00:08:45,080 --> 00:08:48,200 Speaker 1: to present and they've gone from about let's call it, 154 00:08:48,280 --> 00:08:52,880 Speaker 1: twenty cases per million to five hundred and twenty five 155 00:08:53,080 --> 00:08:56,520 Speaker 1: plus cases per million. So if this was a stock, 156 00:08:56,600 --> 00:08:58,520 Speaker 1: you would have made a lot of money. Tragically, this 157 00:08:58,640 --> 00:09:01,720 Speaker 1: is a chart of COVID cases, which means there are 158 00:09:01,760 --> 00:09:05,079 Speaker 1: fatalities attached to it. So you know what's going on here. 159 00:09:05,120 --> 00:09:09,320 Speaker 1: This is getting much, much, much worse after mandates are 160 00:09:09,320 --> 00:09:13,160 Speaker 1: putting place. Now, all I said, I didn't. I didn't 161 00:09:13,160 --> 00:09:15,000 Speaker 1: because because also I don't want to get banned again 162 00:09:15,000 --> 00:09:17,160 Speaker 1: on I've just been dealing with my bands last few weeks. 163 00:09:17,160 --> 00:09:20,600 Speaker 1: All I said is I asked the experts this question 164 00:09:20,640 --> 00:09:25,760 Speaker 1: in earnest, what would this graph of COVID cases look like? 165 00:09:26,240 --> 00:09:31,400 Speaker 1: Without mask mandates. Mask work is the mantra you're not 166 00:09:31,440 --> 00:09:33,880 Speaker 1: allowed to say anything else on Twitter, and that is 167 00:09:33,920 --> 00:09:38,839 Speaker 1: a fact. But how well do mandates work? I asked 168 00:09:38,880 --> 00:09:41,920 Speaker 1: the question. In response, I showed data, and I ask 169 00:09:42,000 --> 00:09:45,760 Speaker 1: a question, how well do mandates work? And all I 170 00:09:45,880 --> 00:09:49,480 Speaker 1: get from all over the blue check and otherwise, and 171 00:09:49,520 --> 00:09:51,800 Speaker 1: I don't read the non blue check lib psychos that 172 00:09:51,800 --> 00:09:53,880 Speaker 1: come after me. All I get over the internet is 173 00:09:54,400 --> 00:09:58,120 Speaker 1: mask denier. You know, Oh my gosh, this person so 174 00:09:58,200 --> 00:10:01,560 Speaker 1: stupid doesn't understand the science. I see you're saying, Okay, 175 00:10:01,640 --> 00:10:05,520 Speaker 1: smart asses, why is it that Florida doesn't have a 176 00:10:05,559 --> 00:10:10,040 Speaker 1: mandate or any mandates about masks? New York and California do. 177 00:10:10,600 --> 00:10:14,240 Speaker 1: And they're roughly equivalent right now, and overall, Florida has 178 00:10:14,240 --> 00:10:17,960 Speaker 1: been much better off against COVID. Now they'll say, oh, 179 00:10:18,000 --> 00:10:20,880 Speaker 1: because New York is more densely populated. Okay, Well, let's 180 00:10:20,920 --> 00:10:24,680 Speaker 1: look at the cities. Let's go city by city. Oh, 181 00:10:24,679 --> 00:10:27,280 Speaker 1: New York City is more densely populated even than Miami 182 00:10:27,800 --> 00:10:31,160 Speaker 1: or Tampa or something. Okay, let's compare it to California. Then, 183 00:10:32,240 --> 00:10:36,880 Speaker 1: where they've been the mask the masters of masking, right, 184 00:10:36,880 --> 00:10:39,200 Speaker 1: they've been all about it. They're Gavin knewsothing, I mean, 185 00:10:39,280 --> 00:10:41,760 Speaker 1: not really right behind closed doors. He doesn't care. He 186 00:10:41,800 --> 00:10:43,959 Speaker 1: goes to French laundry. It's all a joke to him. 187 00:10:44,000 --> 00:10:46,080 Speaker 1: But we're not supposed to pay attention to that. I 188 00:10:46,160 --> 00:10:48,560 Speaker 1: asked this question. You know what they say? They show me. 189 00:10:49,080 --> 00:10:52,000 Speaker 1: They show me Denmark and they say, look at Denmark, 190 00:10:52,000 --> 00:10:55,040 Speaker 1: look at Sweden. Sweden's much worse off than Denmark is. 191 00:10:55,040 --> 00:10:59,480 Speaker 1: And I say, okay, that's interesting. What about Belgium do 192 00:10:59,520 --> 00:11:02,240 Speaker 1: you want to do? So run the same I've really 193 00:11:02,280 --> 00:11:03,760 Speaker 1: I asked them this and I try to go back 194 00:11:03,800 --> 00:11:05,800 Speaker 1: and forth. Okay, smart ass. So you show me Denmark. 195 00:11:05,880 --> 00:11:07,959 Speaker 1: Denmark's doing a little better than Sweden, is that's true. 196 00:11:08,240 --> 00:11:12,240 Speaker 1: Belgium's had a mask mandate in place. How's how's Belgium doing? Oh, 197 00:11:12,280 --> 00:11:15,560 Speaker 1: the worst per capita fatality in all of Europe? Actually 198 00:11:16,040 --> 00:11:18,960 Speaker 1: in Belgium. That's really interesting, isn't it. How's the UK doing, 199 00:11:19,080 --> 00:11:23,400 Speaker 1: How's Italy doing? How's Spain doing? Hmm? Interesting, isn't it? 200 00:11:23,440 --> 00:11:25,559 Speaker 1: Is it all because of Donald Trump and the anti 201 00:11:25,640 --> 00:11:28,280 Speaker 1: maskers who like Donald Trump or support Donald Trump? Is 202 00:11:28,320 --> 00:11:31,440 Speaker 1: that what's causing Europe to have the problems that it does. Now, 203 00:11:31,920 --> 00:11:33,680 Speaker 1: there's a lot of room for debate here. And I've 204 00:11:33,679 --> 00:11:35,560 Speaker 1: been saying this, you know, I'm consistent. I've been saying 205 00:11:35,600 --> 00:11:39,360 Speaker 1: this all along. Maybe it's five percent, maybe it's ten percent. 206 00:11:39,480 --> 00:11:43,680 Speaker 1: I don't know, maybe it's fifty. Although that if masks 207 00:11:43,679 --> 00:11:47,160 Speaker 1: had a fifty percent reduction in this spread of this 208 00:11:47,280 --> 00:11:53,040 Speaker 1: virus when used in actual human usage, right, you think 209 00:11:53,080 --> 00:11:55,679 Speaker 1: of a not to get to graphic here. There are 210 00:11:55,679 --> 00:12:01,319 Speaker 1: prophylactic devices out there. There's always the perfect usage hashtag science. 211 00:12:01,600 --> 00:12:06,440 Speaker 1: Perfect usage and human usage. These they're not the same thing. 212 00:12:06,800 --> 00:12:08,320 Speaker 1: And a lot of people that end up with the 213 00:12:08,400 --> 00:12:12,200 Speaker 1: human usage end up having babies or you know, end 214 00:12:12,240 --> 00:12:16,560 Speaker 1: up getting pregnant. Whereas the perfect usage is ninety nine percent, 215 00:12:16,600 --> 00:12:18,920 Speaker 1: the human usage is down in and I'm not trying 216 00:12:18,920 --> 00:12:20,480 Speaker 1: to you know, you guys all know what I'm talking about. 217 00:12:20,480 --> 00:12:23,560 Speaker 1: It's more like, I think in eighty five range or something. 218 00:12:23,559 --> 00:12:26,640 Speaker 1: That's a big difference. Okay, let's look at masks. Do 219 00:12:26,720 --> 00:12:28,920 Speaker 1: we think we have perfect usage or human usage? Okay, 220 00:12:28,920 --> 00:12:30,440 Speaker 1: we have human usage, so we know that it's not 221 00:12:30,480 --> 00:12:32,120 Speaker 1: going to be perfect, So we know it's less than 222 00:12:32,160 --> 00:12:35,880 Speaker 1: one hundred percent effective. How effective is it and under 223 00:12:35,880 --> 00:12:40,000 Speaker 1: what circumstances. Is it at that efficacy? And why can't 224 00:12:40,040 --> 00:12:42,600 Speaker 1: we see this shown on our chart? Why is it 225 00:12:42,640 --> 00:12:46,360 Speaker 1: that I ask questions like and I'm actually asking And 226 00:12:46,400 --> 00:12:48,400 Speaker 1: when they come at me with something else, I love 227 00:12:48,400 --> 00:12:51,040 Speaker 1: when they pick they'll they'll show you a graph from 228 00:12:52,200 --> 00:12:56,240 Speaker 1: May to July or May to August of masking, and 229 00:12:56,280 --> 00:12:58,679 Speaker 1: they'll say, see, look at how we flatten the curve. 230 00:12:58,720 --> 00:13:02,240 Speaker 1: And I say, why are you stopping in August. We're 231 00:13:02,320 --> 00:13:06,240 Speaker 1: in We're in December. Let's see the rest of the graph. Oh, 232 00:13:06,280 --> 00:13:09,040 Speaker 1: the rest of the graph goes up like a hockey stick. 233 00:13:09,600 --> 00:13:12,400 Speaker 1: Why'd you leave that out right? This is this is 234 00:13:12,400 --> 00:13:14,959 Speaker 1: where we are now. You're not allowed to ask, You're 235 00:13:14,960 --> 00:13:18,160 Speaker 1: not allowed to find out. Shut up, do what you're told. 236 00:13:18,640 --> 00:13:21,959 Speaker 1: Go go use the street as the toilet instead of 237 00:13:22,000 --> 00:13:25,920 Speaker 1: the one inside the restaurant for your safety. What's next? 238 00:13:26,440 --> 00:13:27,920 Speaker 1: I mean, you got, oh, you got a lot of things. 239 00:13:27,960 --> 00:13:30,319 Speaker 1: You got mandatory vaccination coming your way. That's going to 240 00:13:30,400 --> 00:13:33,480 Speaker 1: be nationwide, by the way, under a Biden administration, you're 241 00:13:33,480 --> 00:13:37,680 Speaker 1: going to have a continuation of lockdowns and mass policies 242 00:13:37,720 --> 00:13:40,520 Speaker 1: even after you get vaccinated. How much is enough? How 243 00:13:40,600 --> 00:13:42,400 Speaker 1: much just too much? When do we decide we're not 244 00:13:42,400 --> 00:13:44,600 Speaker 1: going to do this anymore. I don't know a lot 245 00:13:44,600 --> 00:13:46,960 Speaker 1: of people are there. There's a combination of a couple 246 00:13:46,960 --> 00:13:50,199 Speaker 1: of things. People who love to control others, people who 247 00:13:50,200 --> 00:13:53,880 Speaker 1: are just terrified and can't think rationally about any of this, 248 00:13:54,000 --> 00:13:55,920 Speaker 1: And I feel sympathy for them. But there's a lot 249 00:13:55,920 --> 00:13:59,599 Speaker 1: of them out there, and people who are just desperate 250 00:14:00,040 --> 00:14:06,800 Speaker 1: to not be wrong, to look dumb because they're so smart, 251 00:14:07,559 --> 00:14:10,920 Speaker 1: and a lot of them are journos coming at yours 252 00:14:10,920 --> 00:14:15,720 Speaker 1: truly today. Thanks for listening to The Buck Sexton Show podcast. 253 00:14:15,920 --> 00:14:18,680 Speaker 1: Get the latest news and information from Buck by heading 254 00:14:18,679 --> 00:14:23,640 Speaker 1: to Bucksexton dot com. Does it make you feel better 255 00:14:23,640 --> 00:14:26,000 Speaker 1: that Kamala says they're not going to punish people under 256 00:14:26,000 --> 00:14:28,920 Speaker 1: a Biden administration for not wearing masks or not doing 257 00:14:29,200 --> 00:14:31,640 Speaker 1: all these mandates the way that we're supposed to. Does 258 00:14:31,680 --> 00:14:33,600 Speaker 1: it make you feel better? It shouldn't make you feel better. 259 00:14:33,640 --> 00:14:36,040 Speaker 1: It's not true. If they want to, when they find 260 00:14:36,040 --> 00:14:38,440 Speaker 1: a way too, they will punish people. How crazy are 261 00:14:38,440 --> 00:14:41,040 Speaker 1: someplaces getting over this? You know, I was supposed to 262 00:14:41,040 --> 00:14:43,120 Speaker 1: go the one vacation I have all year. I was 263 00:14:43,120 --> 00:14:46,360 Speaker 1: going to go to the Caribbean, the one vacation I took. 264 00:14:46,400 --> 00:14:47,720 Speaker 1: I would have taken this whole year. I know a 265 00:14:47,760 --> 00:14:49,240 Speaker 1: lot of you no one's gone on vacation this year, 266 00:14:49,280 --> 00:14:50,600 Speaker 1: but it was the only one that I had planned, 267 00:14:50,600 --> 00:14:53,200 Speaker 1: even before the pandemic, because I can't take off the 268 00:14:53,240 --> 00:14:55,800 Speaker 1: time from this show. And I was going to go 269 00:14:55,840 --> 00:14:57,080 Speaker 1: to the Caribbean because I want to lie on a 270 00:14:57,080 --> 00:14:59,320 Speaker 1: beach and stare at the sky and you know, read 271 00:14:59,360 --> 00:15:02,760 Speaker 1: books that aren't about politics or history, or actually probably 272 00:15:02,760 --> 00:15:05,400 Speaker 1: read history books. That's not the point. The point is 273 00:15:06,240 --> 00:15:07,800 Speaker 1: that I didn't go because I wanted to stay in 274 00:15:07,840 --> 00:15:09,640 Speaker 1: the US, because I knew that there was going to 275 00:15:09,720 --> 00:15:12,239 Speaker 1: be crazy stuff because of COVID. And here's an example 276 00:15:12,320 --> 00:15:18,280 Speaker 1: of it. An eighteen year old student from Georgia and 277 00:15:18,440 --> 00:15:23,600 Speaker 1: her water sports athlete were sentenced to four months in 278 00:15:23,720 --> 00:15:28,520 Speaker 1: prison by a court in the Cayman Islands because she 279 00:15:28,600 --> 00:15:31,560 Speaker 1: slipped out of her wristband monitor to watch him compete 280 00:15:31,600 --> 00:15:36,080 Speaker 1: at a local race instead of quarantining after arriving from 281 00:15:36,080 --> 00:15:41,880 Speaker 1: the US. Schuyler Mack and her boyfriend, Jetskier van je 282 00:15:42,280 --> 00:15:46,640 Speaker 1: Ramgeet were jailed immediately after their sentences were handed down. 283 00:15:46,640 --> 00:15:50,360 Speaker 1: On Tuesday, an island judge issued a four month term. 284 00:15:51,080 --> 00:15:53,880 Speaker 1: This was a flagrant breach as could be imagined. Court 285 00:15:53,920 --> 00:15:57,200 Speaker 1: Justice Roger Chappell told the court it was born of 286 00:15:57,240 --> 00:16:01,520 Speaker 1: selfishness and arrogance. Now out you might want to you 287 00:16:01,560 --> 00:16:06,720 Speaker 1: might want to know something here. They weren't even positive 288 00:16:06,720 --> 00:16:11,720 Speaker 1: for the virus. They violated the policy, the mandate of 289 00:16:11,760 --> 00:16:14,000 Speaker 1: if you arrive on her island you have to quarantine, 290 00:16:14,760 --> 00:16:18,880 Speaker 1: and then got sent to prison for four months. Now. 291 00:16:18,920 --> 00:16:21,520 Speaker 1: I know you're saying, oh, that's not how many of 292 00:16:21,520 --> 00:16:24,120 Speaker 1: you would like to spend four months in a Caymanian jail. 293 00:16:24,160 --> 00:16:26,280 Speaker 1: I gotta tell you, I'm sure it is not pleasant 294 00:16:26,800 --> 00:16:32,160 Speaker 1: four months in prison. Because she's a healthy person at 295 00:16:32,200 --> 00:16:35,840 Speaker 1: almost no risk, who does not have the virus. I'm 296 00:16:35,920 --> 00:16:39,680 Speaker 1: sure I would. I would bet you all the money 297 00:16:39,720 --> 00:16:41,480 Speaker 1: that you would want to bet right now that she 298 00:16:41,600 --> 00:16:46,240 Speaker 1: doesn't have COVID. But she broke the mandate, so she 299 00:16:46,360 --> 00:16:48,680 Speaker 1: goes to prison. That bet is off now, by the way, 300 00:16:48,720 --> 00:16:53,080 Speaker 1: because I can't make bets on her. Yeah. And then 301 00:16:53,120 --> 00:16:57,800 Speaker 1: there's a guy from Ireland. There's a guy from Ireland 302 00:16:59,640 --> 00:17:04,960 Speaker 1: who road a jet ski to go see his beloved. 303 00:17:05,520 --> 00:17:07,040 Speaker 1: He doesn't even know how to swim. The guy must 304 00:17:07,040 --> 00:17:09,440 Speaker 1: have really wanted to see her, and he took a 305 00:17:09,520 --> 00:17:11,119 Speaker 1: jet ski across I don't know if he went to 306 00:17:11,359 --> 00:17:13,640 Speaker 1: or came from Ireland, but he took a jet ski 307 00:17:13,680 --> 00:17:17,720 Speaker 1: across the Irish Sea to see his girlfriend. Broke quarantine rules. 308 00:17:17,880 --> 00:17:20,880 Speaker 1: He's going to jail. Two, he's going to jail too. 309 00:17:21,080 --> 00:17:23,720 Speaker 1: They are locking people up now for this stuff. Do 310 00:17:23,760 --> 00:17:25,440 Speaker 1: you think that they're going to do more or less 311 00:17:25,480 --> 00:17:26,840 Speaker 1: of that in the months ahead? Do you think there'll 312 00:17:26,880 --> 00:17:30,880 Speaker 1: be more or less of this in a Biden administration. 313 00:17:31,200 --> 00:17:34,520 Speaker 1: I'm just wondering. I feel like we should have the conversation. 314 00:17:36,040 --> 00:17:38,800 Speaker 1: You're in the freedom hunt. This is the buck Sexton 315 00:17:38,880 --> 00:17:42,960 Speaker 1: Show podcast from more buck Head to Bucksexton dot com 316 00:17:43,080 --> 00:17:47,119 Speaker 1: and remember to subscribe to the podcast. Is there going 317 00:17:47,160 --> 00:17:50,600 Speaker 1: to be a COVID funding bill out there? Are we 318 00:17:50,640 --> 00:17:53,959 Speaker 1: going to get this omnibus package? What's the hold up? 319 00:17:54,000 --> 00:17:57,119 Speaker 1: What's happening with that? Plus more on lockdowns? And I 320 00:17:57,160 --> 00:18:01,240 Speaker 1: want to also put on your radar folks, immigration illegal 321 00:18:01,240 --> 00:18:05,240 Speaker 1: immigration that is expected to spike big time in the 322 00:18:05,240 --> 00:18:07,520 Speaker 1: months ahead. We'll get into all that with our friend 323 00:18:07,760 --> 00:18:11,360 Speaker 1: Congressman Andy Biggs from Arizona. Congressman, thanks for coming back, 324 00:18:12,080 --> 00:18:14,119 Speaker 1: but it always good to be with you before I forget. 325 00:18:14,200 --> 00:18:16,680 Speaker 1: Have a merry Christmas, good holiday season. Thank you, sir 326 00:18:16,760 --> 00:18:18,960 Speaker 1: Sam Sam. Do you a merry Christmas? Tell me this 327 00:18:20,160 --> 00:18:22,399 Speaker 1: how how is your state doing? I want to get 328 00:18:22,440 --> 00:18:24,960 Speaker 1: into the omnibus and the spending, but you know I 329 00:18:25,200 --> 00:18:27,560 Speaker 1: don't want to have This is a show that I 330 00:18:27,640 --> 00:18:29,440 Speaker 1: want people to be able to listen to any and 331 00:18:29,520 --> 00:18:32,080 Speaker 1: all across the country as they do, and I want 332 00:18:32,119 --> 00:18:36,200 Speaker 1: them to know how it's going in different places in Arizona. 333 00:18:36,359 --> 00:18:40,359 Speaker 1: What are you seeing right now with the handling of COVID, Well, 334 00:18:40,480 --> 00:18:44,520 Speaker 1: so it's it's the threats of more lockdowns, the threats 335 00:18:44,520 --> 00:18:48,360 Speaker 1: of mask mandates. We have a tremendous mask wearing compliance. 336 00:18:48,440 --> 00:18:53,440 Speaker 1: Everybody's complying. But guess what. We have an increase in 337 00:18:52,560 --> 00:18:58,440 Speaker 1: in the COVID positive detection. You've got an increase in hospitalizations, 338 00:18:58,480 --> 00:19:01,879 Speaker 1: but you still have lots of headroom both in the 339 00:19:01,920 --> 00:19:06,280 Speaker 1: emergency department and regular rooms UH. And you have an 340 00:19:06,280 --> 00:19:11,840 Speaker 1: increase in UH fatalities. But as it's called the Maricopa 341 00:19:12,040 --> 00:19:14,639 Speaker 1: method of counting in some states have adopted it, and 342 00:19:14,720 --> 00:19:17,920 Speaker 1: as if you die within sixty days of having tested 343 00:19:17,960 --> 00:19:21,960 Speaker 1: positive for COVID, regardless of the reason, they will count 344 00:19:22,000 --> 00:19:26,920 Speaker 1: that as a COVID death, that seems to be not 345 00:19:27,160 --> 00:19:33,200 Speaker 1: a scientific approach to finding out the cause of death. Congressman, Well, book, 346 00:19:34,000 --> 00:19:37,199 Speaker 1: we left science a long time ago in this uh, 347 00:19:37,440 --> 00:19:41,919 Speaker 1: this coronavirus deal. We really did um. And if you 348 00:19:41,960 --> 00:19:44,480 Speaker 1: ask any questions, if you're heterodox in any way from 349 00:19:44,520 --> 00:19:48,920 Speaker 1: the public health orthodoxy, you're going to be brandy the heretic. 350 00:19:49,760 --> 00:19:52,320 Speaker 1: They're gonna try to cancel you. They're gonna come after you. 351 00:19:52,560 --> 00:19:55,920 Speaker 1: And I've experienced that NonStop for months because I asked 352 00:19:56,040 --> 00:19:59,560 Speaker 1: questions and well, well yeah, and what is the do 353 00:19:59,600 --> 00:20:01,640 Speaker 1: you guys haven't do you have a just an indoor 354 00:20:01,680 --> 00:20:05,920 Speaker 1: mask mandate? There outdoor mandate? What's the status? Well, it's 355 00:20:06,000 --> 00:20:09,280 Speaker 1: it's here's part of the confusion. It's different wherever you go. 356 00:20:09,359 --> 00:20:14,400 Speaker 1: But but it's certainly when you go indoors. I mean, 357 00:20:14,560 --> 00:20:16,760 Speaker 1: it's a beautiful thing. You can go up to the 358 00:20:16,880 --> 00:20:20,320 Speaker 1: host desk at a restaurant with your mask on. You 359 00:20:20,400 --> 00:20:22,120 Speaker 1: got to wear it till you sit down maybe ten 360 00:20:22,240 --> 00:20:24,960 Speaker 1: fifteen feet from there, maybe twenty five feet from there, 361 00:20:25,160 --> 00:20:28,680 Speaker 1: and then you just pop it off, take off the mask, 362 00:20:28,800 --> 00:20:34,600 Speaker 1: and you know what it's it's it's it's unbelievable belief. 363 00:20:34,800 --> 00:20:37,120 Speaker 1: It is, It makes no sense at all. But anyway, 364 00:20:37,160 --> 00:20:38,560 Speaker 1: this is what we're this is the world we're in 365 00:20:38,680 --> 00:20:42,080 Speaker 1: right now, Congressman, people do want to know what's happening 366 00:20:42,160 --> 00:20:46,040 Speaker 1: with a COVID relief package before you tell us, Before 367 00:20:46,080 --> 00:20:47,440 Speaker 1: you tell us, and you know, by the time sim 368 00:20:47,440 --> 00:20:49,040 Speaker 1: people hear this, there may be there may be a 369 00:20:49,080 --> 00:20:51,200 Speaker 1: deal done. Right, a lot of people listen on demand, 370 00:20:51,720 --> 00:20:56,600 Speaker 1: But before you tell us, what could happen? Why hasn't 371 00:20:56,640 --> 00:21:00,480 Speaker 1: there been the hundreds of billions of dollars of aid 372 00:21:00,520 --> 00:21:03,359 Speaker 1: to the American people passed by the Congress, given that 373 00:21:03,400 --> 00:21:07,400 Speaker 1: the government is the cause of the economic shutdowns. Well, 374 00:21:07,480 --> 00:21:13,960 Speaker 1: so before the election, there was legislation by Republicans that 375 00:21:14,000 --> 00:21:18,240 Speaker 1: would have finished spending the PPP money, which was from 376 00:21:18,280 --> 00:21:21,720 Speaker 1: the original bill. They could have gone out months ago, 377 00:21:22,600 --> 00:21:25,960 Speaker 1: but Nancy Pelosi did not want President Trump to have 378 00:21:26,000 --> 00:21:30,160 Speaker 1: a victory, so for political purposes, she shut that bill 379 00:21:30,240 --> 00:21:34,480 Speaker 1: down and prevented it. Now you've got it just like 380 00:21:34,640 --> 00:21:36,960 Speaker 1: every time they've done it, instead of doing the bill 381 00:21:37,080 --> 00:21:40,399 Speaker 1: where you're targeting people and you're getting accountability because we 382 00:21:40,480 --> 00:21:43,400 Speaker 1: know that there's been fraud out there. Anytime you put 383 00:21:43,480 --> 00:21:45,359 Speaker 1: that kind of money out in public life. You're going 384 00:21:45,440 --> 00:21:46,840 Speaker 1: to get some fraud, You're going to get some people 385 00:21:46,840 --> 00:21:50,000 Speaker 1: who really need it. But instead of taking the stuff 386 00:21:50,000 --> 00:21:58,000 Speaker 1: that we all agreed on, which was benefits, they've they've 387 00:21:58,160 --> 00:22:00,359 Speaker 1: larted it up again. So there's going to be all 388 00:22:00,440 --> 00:22:02,960 Speaker 1: kinds of things. There's going to be direct payments to 389 00:22:03,040 --> 00:22:06,919 Speaker 1: people again. There's going to be you're going to get 390 00:22:06,920 --> 00:22:12,000 Speaker 1: the unemployment boost by three hundred dollars per week through March. 391 00:22:12,680 --> 00:22:15,960 Speaker 1: And if there's one thing small business told me consistently, 392 00:22:16,080 --> 00:22:18,480 Speaker 1: was pleased, don't do that because we've got jobs we 393 00:22:18,520 --> 00:22:22,520 Speaker 1: can't get people to come back to. And they didn't 394 00:22:22,560 --> 00:22:27,720 Speaker 1: did pass it for political purposes, solely because Pelosi wanted 395 00:22:27,760 --> 00:22:30,000 Speaker 1: to say, Look, you know, Trump didn't get this done. 396 00:22:30,840 --> 00:22:35,800 Speaker 1: Speaking of Congressman Andy Biggs of Arizona, Congressman, you're you 397 00:22:35,880 --> 00:22:39,840 Speaker 1: got a big border there along with Mexico, and you're 398 00:22:40,000 --> 00:22:43,280 Speaker 1: you're starting to see some interesting stories in the news 399 00:22:43,320 --> 00:22:46,119 Speaker 1: about a surge. I've already seen it. It's not getting 400 00:22:46,119 --> 00:22:49,000 Speaker 1: a lot of news attention, but it's out there. Caravans 401 00:22:49,040 --> 00:22:53,000 Speaker 1: starting to move up from Central America. What's going on? Yeah, 402 00:22:53,040 --> 00:22:55,960 Speaker 1: so there's one moving right now, there's several others forming 403 00:22:56,040 --> 00:23:01,080 Speaker 1: cartels are advertising again for caravans. You know, these NGOs 404 00:23:01,680 --> 00:23:04,520 Speaker 1: are advertising for caravans and what to do when you 405 00:23:04,520 --> 00:23:10,600 Speaker 1: get up here. Almost seventy thousand apprehensions in November. It's 406 00:23:10,600 --> 00:23:12,439 Speaker 1: going to be higher than that, pretty close to one 407 00:23:12,520 --> 00:23:17,000 Speaker 1: hundred thousand in December. But it's the gataways that are important. 408 00:23:17,840 --> 00:23:22,080 Speaker 1: More drugs, drugs are coming across again. It's all going up, 409 00:23:22,160 --> 00:23:26,359 Speaker 1: and it all boils down to what Joe Biden has 410 00:23:26,359 --> 00:23:28,719 Speaker 1: said his administration is going to do. And I just 411 00:23:28,800 --> 00:23:31,919 Speaker 1: got off. We're talking with a border patrol agent before 412 00:23:32,200 --> 00:23:34,640 Speaker 1: you and I got together, and I said, well, what's 413 00:23:34,640 --> 00:23:37,040 Speaker 1: going on? I said, well, I just interviewed. First of all, 414 00:23:37,040 --> 00:23:39,040 Speaker 1: I said, just south of the border right now, there's 415 00:23:39,080 --> 00:23:41,760 Speaker 1: a gang, not a gang necessarily, but a group of 416 00:23:41,800 --> 00:23:45,199 Speaker 1: probably two to three hundred people staging to come across 417 00:23:45,280 --> 00:23:50,320 Speaker 1: the border, but they can't. An individual yesterday, and this 418 00:23:50,359 --> 00:23:52,520 Speaker 1: agent asked the person, why did you come across? He said, 419 00:23:53,359 --> 00:23:58,320 Speaker 1: Biden said, there's no deportations. And Biden said that there's 420 00:23:58,359 --> 00:24:01,960 Speaker 1: not going to be. You're not going to be detained. 421 00:24:02,400 --> 00:24:06,200 Speaker 1: And because you have no deportations, you have no detention planned, 422 00:24:06,240 --> 00:24:09,520 Speaker 1: you have one hundred date moratorium, and there's a promise 423 00:24:09,560 --> 00:24:13,680 Speaker 1: of amnesty, there's promise to support the sanctuary cities. There 424 00:24:13,800 --> 00:24:18,719 Speaker 1: is now no reason not to come. It's sound logic 425 00:24:18,800 --> 00:24:21,000 Speaker 1: from their perspective, because I do think that under a 426 00:24:21,000 --> 00:24:25,000 Speaker 1: Biden administration that there is going to be a huge 427 00:24:25,000 --> 00:24:27,000 Speaker 1: push for amnesty. I think that that's going to be 428 00:24:27,040 --> 00:24:30,359 Speaker 1: the top of the Democrat agenda because they'll say this 429 00:24:30,400 --> 00:24:32,359 Speaker 1: is very centrist, you know this is it'll be like 430 00:24:32,440 --> 00:24:35,679 Speaker 1: comprehensive immigration reform two point zero under Barack Obama. That 431 00:24:35,720 --> 00:24:37,919 Speaker 1: I think that's exactly what we're going to see. And 432 00:24:37,960 --> 00:24:40,160 Speaker 1: so it does make sense for illegals to try, from 433 00:24:40,160 --> 00:24:42,600 Speaker 1: their perspective, to try to come across the border now. 434 00:24:42,640 --> 00:24:44,399 Speaker 1: And I think we're going to see an enormous problem 435 00:24:44,600 --> 00:24:47,760 Speaker 1: because you're also going to have a likely Democrat administration here, 436 00:24:47,760 --> 00:24:49,440 Speaker 1: I mean he is the president elect. Does of now 437 00:24:50,600 --> 00:24:53,159 Speaker 1: where they're determining that they're not going to want to 438 00:24:53,240 --> 00:24:55,840 Speaker 1: enforce the laws against people that are showing up, They're 439 00:24:55,840 --> 00:24:57,479 Speaker 1: going to try to use the loopholes to say, oh, 440 00:24:57,520 --> 00:24:59,760 Speaker 1: we're enforcing laws, but we're still allowing a lot of 441 00:25:00,040 --> 00:25:03,920 Speaker 1: legal entries to stay in the United States. Um Congressman. 442 00:25:04,200 --> 00:25:07,439 Speaker 1: I also, I'm just wondering do you have do you 443 00:25:07,440 --> 00:25:09,760 Speaker 1: have any thoughts that you can share on the state 444 00:25:09,840 --> 00:25:13,399 Speaker 1: of play with with Arizona, with any do you have 445 00:25:13,440 --> 00:25:16,520 Speaker 1: any hope for any of the remaining legal challenges either 446 00:25:16,560 --> 00:25:19,000 Speaker 1: in your home state or anywhere else right now with 447 00:25:19,040 --> 00:25:21,879 Speaker 1: regard to this election and getting some answers, And I 448 00:25:22,119 --> 00:25:23,959 Speaker 1: know you can't predict the future, but I'm wondering, are 449 00:25:24,520 --> 00:25:28,399 Speaker 1: you done well? I think in Arizona what's happened is 450 00:25:28,440 --> 00:25:35,120 Speaker 1: the state Senate has issued subpoenas for um DOC the ballots, 451 00:25:36,240 --> 00:25:39,480 Speaker 1: envelopes and machines, so they and they have a forensic 452 00:25:39,520 --> 00:25:47,080 Speaker 1: audit team ready to commence immediately. And the problem is 453 00:25:47,119 --> 00:25:50,040 Speaker 1: whether the Maricopa County, which is over five minute people 454 00:25:50,040 --> 00:25:52,960 Speaker 1: in a line share of Arizona voters in it, will 455 00:25:53,000 --> 00:25:57,679 Speaker 1: actually respond favorably to the subpoena. In fact, their meeting 456 00:25:58,840 --> 00:26:01,840 Speaker 1: and they didn't take a position yesterday when they met, 457 00:26:02,080 --> 00:26:04,680 Speaker 1: and hopefully they will give those we can have the audit. 458 00:26:04,880 --> 00:26:07,879 Speaker 1: What's the audit's done, It'll put this to bed at 459 00:26:07,920 --> 00:26:12,000 Speaker 1: least in Arizona. Was there a lot of fraud? Was 460 00:26:12,040 --> 00:26:17,160 Speaker 1: there no fraud? And believe me, you've got by far, 461 00:26:17,280 --> 00:26:20,960 Speaker 1: most Republicans think there were fraud, by far, most Democrats 462 00:26:21,000 --> 00:26:24,320 Speaker 1: believe there was no fraud, and the Independence it's kind 463 00:26:24,320 --> 00:26:27,880 Speaker 1: of split evenly that there was fraud. So you really 464 00:26:27,920 --> 00:26:30,399 Speaker 1: got to put it to bed. And I'm putting my 465 00:26:30,480 --> 00:26:34,960 Speaker 1: trust in Arizona in this for insicout it because that's 466 00:26:34,960 --> 00:26:37,840 Speaker 1: what every state should have done, was a true for Insicota. 467 00:26:37,920 --> 00:26:40,600 Speaker 1: It will tell you where fraud took place, if any 468 00:26:40,640 --> 00:26:42,920 Speaker 1: took place at all. Are we going to find out? 469 00:26:43,119 --> 00:26:45,479 Speaker 1: I mean, just just again in Arizona, which is one 470 00:26:45,520 --> 00:26:48,040 Speaker 1: of the states that's been right right in the center 471 00:26:48,040 --> 00:26:52,760 Speaker 1: of this storm. Did people double vote? Did dead people vote? 472 00:26:52,760 --> 00:26:55,639 Speaker 1: I mean, well, are you confident, Congressman, that I'll be 473 00:26:55,680 --> 00:26:57,560 Speaker 1: having you back on this show in the new year, 474 00:26:57,960 --> 00:27:00,560 Speaker 1: at some point early on in the new year, and 475 00:27:00,640 --> 00:27:03,159 Speaker 1: you'll be able to tell us, guys that there was 476 00:27:03,400 --> 00:27:09,159 Speaker 1: as number of found either illegal aliens voting or double votes, 477 00:27:09,280 --> 00:27:11,560 Speaker 1: dead people voting, etc. Or do you think that they 478 00:27:11,600 --> 00:27:13,200 Speaker 1: may be able to cover this up even with the 479 00:27:13,320 --> 00:27:16,959 Speaker 1: request for the audit. I am confident that if we 480 00:27:17,000 --> 00:27:21,560 Speaker 1: can begin that audit today or tomorrow, that in a 481 00:27:21,920 --> 00:27:24,480 Speaker 1: week or two you and I can have a conversation, 482 00:27:24,600 --> 00:27:29,280 Speaker 1: and we will know the extent of the veracity or 483 00:27:29,400 --> 00:27:33,320 Speaker 1: lack of veracity in Arizona's election. All right, Congressman Nanny Biggs, 484 00:27:33,359 --> 00:27:36,720 Speaker 1: Arizona Congressman. Always appreciate it. You and yours having merry Christmas. 485 00:27:36,720 --> 00:27:39,560 Speaker 1: Thanks so much for joining us. Thank you, Thanks so much. Buck, 486 00:27:39,600 --> 00:27:43,439 Speaker 1: appreciate it. You're in the Freedom Hut. This is the 487 00:27:43,480 --> 00:27:47,280 Speaker 1: Buck Sexton Show podcast. Get more from Buck by following 488 00:27:47,359 --> 00:27:50,760 Speaker 1: him on social media at buck Sexton on Facebook, Twitter, 489 00:27:50,800 --> 00:27:55,880 Speaker 1: and Instagram. But I think there's been a misinterpretation somehow 490 00:27:55,920 --> 00:27:59,280 Speaker 1: by some that said that you have to cancel fall 491 00:27:59,359 --> 00:28:04,560 Speaker 1: family that that's a very important clarification. It sounds like 492 00:28:04,600 --> 00:28:07,199 Speaker 1: the same advice you were given at Thanksgiving. You know, 493 00:28:07,280 --> 00:28:10,080 Speaker 1: ten people in a house, no more than two families 494 00:28:10,080 --> 00:28:12,000 Speaker 1: that are trying to come together. So you have not 495 00:28:12,119 --> 00:28:16,040 Speaker 1: deviated from that, to be to be more clear, I 496 00:28:16,080 --> 00:28:20,040 Speaker 1: think there has been misinterpretation. I've heard and seen tweets 497 00:28:20,080 --> 00:28:24,120 Speaker 1: saying about she says canceled trip to Christmas nonsense. I've 498 00:28:24,160 --> 00:28:27,920 Speaker 1: never said that. I've never said that. I've never said that. 499 00:28:28,280 --> 00:28:32,680 Speaker 1: I've just said, don't see your loved ones, don't celebrate 500 00:28:33,000 --> 00:28:38,680 Speaker 1: with any other human being. Don't gather congregate settings. But 501 00:28:38,800 --> 00:28:43,600 Speaker 1: I've never said cancel Christmas. Have a great Christmas by 502 00:28:43,640 --> 00:28:49,000 Speaker 1: yourself without family or loved ones, especially those of you 503 00:28:49,440 --> 00:28:52,440 Speaker 1: who are at very low risk from the disease or 504 00:28:52,440 --> 00:28:55,920 Speaker 1: have already had the disease. Don't in any way change 505 00:28:55,920 --> 00:29:00,840 Speaker 1: your mitigation, avoid human compact and really of human contact 506 00:29:00,840 --> 00:29:03,320 Speaker 1: for the whole winter, but definitely for Christmas. But have 507 00:29:03,360 --> 00:29:06,200 Speaker 1: a very merry Christmas alone. Don't go buy a tree. 508 00:29:06,280 --> 00:29:08,959 Speaker 1: That's risky. You don't need a tree. Stay home alone 509 00:29:09,600 --> 00:29:14,240 Speaker 1: by yourself, have a great Christmas. Yeah, there you go. Yay. 510 00:29:14,280 --> 00:29:17,000 Speaker 1: I'm glad. I'm glad we've I'm glad we've established what's 511 00:29:17,000 --> 00:29:18,920 Speaker 1: really going on then that we know that he never 512 00:29:18,960 --> 00:29:24,040 Speaker 1: really said. He never really said that cancel Christmas. Just 513 00:29:24,040 --> 00:29:26,560 Speaker 1: just don't see other human but just don't actually spend 514 00:29:26,600 --> 00:29:29,560 Speaker 1: a holiday with other people and stay locked in your 515 00:29:29,600 --> 00:29:32,760 Speaker 1: home and only only go out for food and be 516 00:29:32,880 --> 00:29:36,560 Speaker 1: terrified when you do it. I think it's really really 517 00:29:36,560 --> 00:29:41,120 Speaker 1: great advice from from doctor Fauci. And you know what else, 518 00:29:41,160 --> 00:29:43,840 Speaker 1: he's got great advice about how to keep restaurants open. 519 00:29:44,000 --> 00:29:46,160 Speaker 1: Oh no, he has terrible advice about that, because they're 520 00:29:46,160 --> 00:29:49,360 Speaker 1: closing all over the place, aren't they? Here's fifteen. What 521 00:29:49,440 --> 00:29:51,680 Speaker 1: we really need to do is make sure when we 522 00:29:51,800 --> 00:29:57,400 Speaker 1: say limit restaurant capacity or close restaurants or close the bars, 523 00:29:57,800 --> 00:30:03,400 Speaker 1: that has to be accompanied relief, financial relief. And yet 524 00:30:03,400 --> 00:30:06,280 Speaker 1: it's not. And so these restaurants are getting destroyed. And 525 00:30:06,440 --> 00:30:10,120 Speaker 1: for what exactly? Why can't let me ask you this, 526 00:30:10,560 --> 00:30:14,840 Speaker 1: Why can't doctor Fauci come out and say, outdoor dining, 527 00:30:15,080 --> 00:30:20,280 Speaker 1: it's been proven, is not a considerable transmission risk. Therefore 528 00:30:20,720 --> 00:30:26,480 Speaker 1: outdoor dining should not be banned anywhere. Why can't Fauci 529 00:30:26,960 --> 00:30:31,160 Speaker 1: say that? Someone tell me? Why? Think about how much 530 00:30:31,160 --> 00:30:35,720 Speaker 1: that would help thousands and thousands of businesses in New York, 531 00:30:36,080 --> 00:30:42,920 Speaker 1: in California, in Michigan, in Illinois, in New Jersey, in Massachusetts. 532 00:30:42,960 --> 00:30:46,880 Speaker 1: Go down the list, just just that, just and you say, oh, 533 00:30:46,920 --> 00:30:49,320 Speaker 1: buckets too cold. And on those places they could set 534 00:30:49,360 --> 00:30:52,360 Speaker 1: up outdoor heaters. If there was an outdoor heater in 535 00:30:52,400 --> 00:30:55,000 Speaker 1: my neighborhood outside of some of my favorite local restaurants, 536 00:30:55,000 --> 00:30:57,600 Speaker 1: they had chairs out on the street. And I was 537 00:30:57,640 --> 00:30:59,640 Speaker 1: told that, you know, and I just knew that I 538 00:30:59,640 --> 00:31:01,920 Speaker 1: was gonna bundle up. I actually did this. I ate 539 00:31:02,000 --> 00:31:06,480 Speaker 1: outdoors over the Thanksgiving break, it was freezing, but I 540 00:31:06,520 --> 00:31:08,680 Speaker 1: was on a balcony and I wore my jacket with 541 00:31:08,720 --> 00:31:11,440 Speaker 1: a few friends and we ate dinner. If it meant 542 00:31:11,440 --> 00:31:13,840 Speaker 1: that I could actually be around other human beings and 543 00:31:13,960 --> 00:31:16,960 Speaker 1: keep a local business going that I love, I mean, 544 00:31:17,000 --> 00:31:19,600 Speaker 1: this is why people live in cities, so they can 545 00:31:19,640 --> 00:31:21,720 Speaker 1: walk to their favorite restaurant. This is why we've made 546 00:31:21,760 --> 00:31:23,080 Speaker 1: the choices we have a lot of. You say, why 547 00:31:23,080 --> 00:31:24,200 Speaker 1: do you live in the city. By the way, you're 548 00:31:24,200 --> 00:31:27,400 Speaker 1: looking more and more right about your indignation in my 549 00:31:27,480 --> 00:31:30,160 Speaker 1: unwillingness to leave New York thus far in life. But 550 00:31:31,360 --> 00:31:33,280 Speaker 1: why can't founch? You say, why can't founch? You say, 551 00:31:33,320 --> 00:31:36,080 Speaker 1: open all the schools. It's no risk, low risk. I 552 00:31:36,080 --> 00:31:40,000 Speaker 1: should say open all the schools. That's the right policy. 553 00:31:40,480 --> 00:31:44,280 Speaker 1: Outdoor dining is safe. Why won't he say those things? 554 00:31:45,080 --> 00:31:48,040 Speaker 1: If I felt like there was any good faith from 555 00:31:48,080 --> 00:31:52,239 Speaker 1: the other side about these issues, I would respond in 556 00:31:52,320 --> 00:31:55,200 Speaker 1: a far less aggressive manner. But there is no good faith. 557 00:31:55,240 --> 00:31:58,160 Speaker 1: It's more and more and more lockdown, tighten the screws, 558 00:31:58,400 --> 00:32:01,080 Speaker 1: no more freedom. I've told you that. I mean, I 559 00:32:01,800 --> 00:32:04,440 Speaker 1: think that are in certain situations. I mean, they keep 560 00:32:04,440 --> 00:32:06,760 Speaker 1: calling me an anti masker. It's don't you see this 561 00:32:06,800 --> 00:32:09,719 Speaker 1: is the equivalent of when someone points out that the 562 00:32:09,760 --> 00:32:12,640 Speaker 1: Green New Deal is insane. It you're a climate denialist. 563 00:32:12,880 --> 00:32:16,760 Speaker 1: You don't think the climate change is real. No, I 564 00:32:16,760 --> 00:32:19,520 Speaker 1: think climate change is real. I just don't think it's 565 00:32:19,520 --> 00:32:22,719 Speaker 1: a catastrophic problem the way that it's being portrayed. And 566 00:32:22,760 --> 00:32:24,920 Speaker 1: I also know that the way they think they're going 567 00:32:24,960 --> 00:32:27,640 Speaker 1: to address it is laughable. That's not the same thing 568 00:32:27,680 --> 00:32:30,760 Speaker 1: as saying I don't think climate change is real. But 569 00:32:30,800 --> 00:32:33,200 Speaker 1: that's what the that's what they do. They try to 570 00:32:33,240 --> 00:32:37,360 Speaker 1: set up a false choice binary and then just bash you. 571 00:32:39,040 --> 00:32:42,160 Speaker 1: Same thing here on the masks. I'm not an anti 572 00:32:42,280 --> 00:32:45,520 Speaker 1: masker who's been telling me. I've been telling you all along, 573 00:32:45,720 --> 00:32:49,080 Speaker 1: and ninety five masks properly fitted and used in a 574 00:32:49,080 --> 00:32:55,800 Speaker 1: clinical setting are one hundred percent a good idea for 575 00:32:55,960 --> 00:33:01,200 Speaker 1: preventing RESPIRT. All of the data shows this, there's no question. Okay. 576 00:33:02,080 --> 00:33:03,960 Speaker 1: I'm not someone who walks around saying, oh, but the 577 00:33:04,080 --> 00:33:06,480 Speaker 1: virus is like this thing and we don't know, and 578 00:33:06,520 --> 00:33:09,000 Speaker 1: it doesn't you don't know. But I'm just saying, well, 579 00:33:09,040 --> 00:33:11,640 Speaker 1: let's look at what works. Let's look at what's actually happening. 580 00:33:11,960 --> 00:33:14,360 Speaker 1: What is real human behavior? I love this, I'll say. 581 00:33:14,400 --> 00:33:17,600 Speaker 1: I'll tell people. I'll say, outdoor mask mandates, why do 582 00:33:17,640 --> 00:33:19,920 Speaker 1: we have them? And the responses I'll get from people 583 00:33:19,920 --> 00:33:22,560 Speaker 1: that think that they're public intellectuals will be along the 584 00:33:22,560 --> 00:33:26,480 Speaker 1: lines of it, because people are congregating indoors without masks, 585 00:33:26,880 --> 00:33:29,120 Speaker 1: if that's where we're spreading it. And then I want 586 00:33:29,160 --> 00:33:32,640 Speaker 1: to say to them, so, why do we have outdoor 587 00:33:32,840 --> 00:33:37,720 Speaker 1: mask mandates? Listen to what I am saying? But they don't. 588 00:33:38,440 --> 00:33:40,720 Speaker 1: He's a mask and I'm a daily Mail refers me 589 00:33:40,760 --> 00:33:43,760 Speaker 1: as anti mask. I'm not anti mask. That's a lie. 590 00:33:44,600 --> 00:33:48,920 Speaker 1: They're lying. I'm anti masking, sir? Yes, do I think 591 00:33:48,920 --> 00:33:50,800 Speaker 1: you should mask when you're alone in the shower? I mean, 592 00:33:50,840 --> 00:33:52,320 Speaker 1: I don't know what kind of stuff people are into, 593 00:33:52,360 --> 00:33:56,200 Speaker 1: But the answer is no. Does that mean I'm anti mask? Notice? 594 00:33:56,200 --> 00:34:00,840 Speaker 1: How many debates have you seen on this issue anywhere 595 00:34:01,240 --> 00:34:10,360 Speaker 1: that are worth hearing anywhere? None? None. Journalists, social media companies, 596 00:34:10,400 --> 00:34:16,319 Speaker 1: the Democrat establishment are enemies of free speech. Now. They 597 00:34:16,400 --> 00:34:20,759 Speaker 1: are openly advocating for censorship. They always have these these 598 00:34:21,000 --> 00:34:24,920 Speaker 1: trite and just moronic things. I'll say, like, well, we 599 00:34:25,000 --> 00:34:28,520 Speaker 1: don't want censorship, we just want to prevent false ideas 600 00:34:28,560 --> 00:34:31,440 Speaker 1: from being out there. Oh okay, well that's not censorship. 601 00:34:32,080 --> 00:34:33,879 Speaker 1: What would the sense What would the censors have said 602 00:34:33,920 --> 00:34:36,960 Speaker 1: about about the buckster here saying open up the schools 603 00:34:36,960 --> 00:34:39,960 Speaker 1: in August the data shows us it's safe. Was that? 604 00:34:40,000 --> 00:34:41,960 Speaker 1: Should I have been censored even more on that? Because 605 00:34:41,960 --> 00:34:44,520 Speaker 1: I was? I was shadow banned on the social media accounts? 606 00:34:44,520 --> 00:34:47,560 Speaker 1: So should I've been even more censored because I was? Right? 607 00:34:48,719 --> 00:34:52,239 Speaker 1: Thanks for listening to the Buck Sexton Show podcast. Get 608 00:34:52,280 --> 00:34:54,880 Speaker 1: the latest news and information from Buck by heading to 609 00:34:55,000 --> 00:35:01,840 Speaker 1: buck Sexton dot com. This importance bolic vaccination of the 610 00:35:01,920 --> 00:35:05,000 Speaker 1: Vice President of the United States and the Surgeon General 611 00:35:05,000 --> 00:35:07,799 Speaker 1: of the United States, which is something we want to 612 00:35:07,840 --> 00:35:11,160 Speaker 1: be symbolic to tell the rest of the country the 613 00:35:11,239 --> 00:35:14,239 Speaker 1: time is now to step to the plate and when 614 00:35:14,280 --> 00:35:18,160 Speaker 1: your time comes, to get vaccinated. Because when we're speaking 615 00:35:18,200 --> 00:35:21,080 Speaker 1: to you here today, I often say it is really 616 00:35:21,400 --> 00:35:24,480 Speaker 1: bitter sweet. The bitterness is the fact of what the 617 00:35:24,600 --> 00:35:27,759 Speaker 1: Vice President mentioned. We still are in the middle of 618 00:35:27,760 --> 00:35:32,919 Speaker 1: a very difficult situation with record numbers of cases, hospitalizations, 619 00:35:32,960 --> 00:35:36,319 Speaker 1: and deaths. But the sweetness is the light at the 620 00:35:36,440 --> 00:35:39,319 Speaker 1: end of the tunnel, which I can tell you as 621 00:35:39,320 --> 00:35:43,120 Speaker 1: we get into January, February, March and April, that light 622 00:35:43,280 --> 00:35:47,040 Speaker 1: is going to get brighter and brighter, and the bitterness 623 00:35:47,160 --> 00:35:50,239 Speaker 1: is going to be replaced by the sweetness. And we 624 00:35:50,320 --> 00:35:53,200 Speaker 1: all hope and I think this is doable that by 625 00:35:53,200 --> 00:35:56,760 Speaker 1: the time we get to several months into this year, 626 00:35:57,360 --> 00:36:00,920 Speaker 1: we will have enough people protected that we start thinking 627 00:36:01,000 --> 00:36:05,279 Speaker 1: seriously about the return to normality. And that's up to 628 00:36:05,400 --> 00:36:09,160 Speaker 1: all of us to step forward and get vaccinated. Now. 629 00:36:09,320 --> 00:36:12,440 Speaker 1: Isn't it interesting that the people that are allegedly mass 630 00:36:12,520 --> 00:36:14,840 Speaker 1: deniers like me, and as I've said, I'm not a 631 00:36:14,840 --> 00:36:18,520 Speaker 1: mass denier, that as a slur, it's a slander. I've 632 00:36:18,560 --> 00:36:20,880 Speaker 1: gone through this. I've had to defend myself against social 633 00:36:20,880 --> 00:36:23,720 Speaker 1: media companies when I point out I've I've never said 634 00:36:24,040 --> 00:36:26,760 Speaker 1: don't wear a mask. I've never said there's no usage 635 00:36:26,800 --> 00:36:30,600 Speaker 1: for them. I've just pointed out the inconsistencies the government 636 00:36:30,680 --> 00:36:35,120 Speaker 1: overreach and ask the questions about level of effect of 637 00:36:35,120 --> 00:36:37,719 Speaker 1: efficacy that nobody else seems will not nobody either, A 638 00:36:37,719 --> 00:36:40,880 Speaker 1: few barons and obviously God bless the guy's very brave. 639 00:36:41,760 --> 00:36:45,040 Speaker 1: M's a he's a unique fellow. He's a little eccentric, 640 00:36:45,200 --> 00:36:48,840 Speaker 1: he's very brave. On this point he has been and 641 00:36:50,239 --> 00:36:52,120 Speaker 1: you know that's all. That's all that I do, and 642 00:36:52,120 --> 00:36:54,440 Speaker 1: they're vilifying. I mean, people actually reach out to me 643 00:36:54,840 --> 00:36:57,640 Speaker 1: and they think that I'm I'm responsible for like human 644 00:36:57,680 --> 00:37:00,759 Speaker 1: death or something just because I say, and someone tell me, 645 00:37:01,280 --> 00:37:03,040 Speaker 1: how much does it reduce if you go, if you 646 00:37:03,080 --> 00:37:05,400 Speaker 1: were to anyway? You know you all know this, but 647 00:37:05,440 --> 00:37:07,719 Speaker 1: I just want to make make it very clear. They're 648 00:37:07,760 --> 00:37:10,040 Speaker 1: only a handful of us that really take this stuff, 649 00:37:10,440 --> 00:37:12,839 Speaker 1: take the heat on this on a regular basis, and 650 00:37:13,880 --> 00:37:16,160 Speaker 1: you know I'm one of them. In the public eye, 651 00:37:16,200 --> 00:37:19,440 Speaker 1: I'm one of them. There's about it. There's like maybe 652 00:37:19,480 --> 00:37:21,439 Speaker 1: a dozen or two of us that are getting really 653 00:37:21,440 --> 00:37:26,720 Speaker 1: hammered on this on a regular basis. So vaccine, somehow, 654 00:37:27,160 --> 00:37:29,680 Speaker 1: I'm an amount a vaccine denier, and some of you 655 00:37:29,719 --> 00:37:33,239 Speaker 1: think that I'm probably too pro vaccine in this instance. 656 00:37:34,239 --> 00:37:36,640 Speaker 1: I do think that what we've seen on the data 657 00:37:36,840 --> 00:37:38,480 Speaker 1: shows that for a lot of people who had high 658 00:37:38,560 --> 00:37:41,759 Speaker 1: risk this is that this is an absolute must and 659 00:37:41,840 --> 00:37:44,120 Speaker 1: it's absolutely worth the trade off and the risks. And 660 00:37:44,160 --> 00:37:46,359 Speaker 1: that's what medicine is all about, risks and trade off 661 00:37:46,360 --> 00:37:48,080 Speaker 1: and freedom, and that's what it's supposed to be. Not 662 00:37:48,200 --> 00:37:53,839 Speaker 1: do this or else. But the vaccine, as you've already seen, 663 00:37:54,719 --> 00:37:56,319 Speaker 1: is not going to be an answer for us to 664 00:37:56,320 --> 00:38:00,839 Speaker 1: get back to normal because what about mutations? Will there 665 00:38:00,880 --> 00:38:03,440 Speaker 1: be COVID mutations then we won't have a vaccine necessarily 666 00:38:03,440 --> 00:38:04,840 Speaker 1: that works against that at all. So how can they 667 00:38:04,880 --> 00:38:07,480 Speaker 1: let us go back to normal? I'm also going to 668 00:38:07,520 --> 00:38:10,160 Speaker 1: say this, and I know that they've they've created this 669 00:38:10,520 --> 00:38:14,120 Speaker 1: flu bro thing where it's not the flu you're eat. 670 00:38:15,280 --> 00:38:17,640 Speaker 1: Why aren't we going to have lockdowns and masks in 671 00:38:17,719 --> 00:38:20,320 Speaker 1: plays for flu season next year? What they will say, 672 00:38:20,360 --> 00:38:23,239 Speaker 1: if they're being honest, is because fifty thousand people a 673 00:38:23,320 --> 00:38:26,040 Speaker 1: year dying from the flu, giver take is acceptable, and 674 00:38:26,200 --> 00:38:30,120 Speaker 1: masks are annoying and lockdowns destroy the destroy people's financial 675 00:38:30,120 --> 00:38:33,040 Speaker 1: and economic lives. So we're not willing to do that. 676 00:38:33,080 --> 00:38:35,200 Speaker 1: So fifty thousand a year we can take. That is 677 00:38:35,239 --> 00:38:38,840 Speaker 1: the only real answer. They don't have another answer, and 678 00:38:38,840 --> 00:38:41,200 Speaker 1: I want to be very clear about that. So the 679 00:38:41,239 --> 00:38:44,360 Speaker 1: people that are all it's about every life, save every life, 680 00:38:44,440 --> 00:38:47,640 Speaker 1: don't care what you're freedom. See, they don't feel that 681 00:38:47,680 --> 00:38:50,160 Speaker 1: way about They will not mark my words. We can 682 00:38:50,200 --> 00:38:51,839 Speaker 1: go back to the show in twelve months and I'll 683 00:38:51,840 --> 00:38:53,720 Speaker 1: be saying why aren't we masking up for the flu? Guys, 684 00:38:54,040 --> 00:38:55,919 Speaker 1: we might be masking up for COVID, but it won't 685 00:38:56,320 --> 00:38:58,560 Speaker 1: won't be for the flu. And they'll say, oh, because 686 00:38:58,560 --> 00:39:00,279 Speaker 1: we can manage that. But what they mean by man, 687 00:39:00,320 --> 00:39:03,200 Speaker 1: it's just that you know, fifty sixty seventy thousand people 688 00:39:03,200 --> 00:39:06,480 Speaker 1: in the United States will die from the flu, so 689 00:39:07,239 --> 00:39:11,440 Speaker 1: that's manageable apparently every year by the way, right, So 690 00:39:11,560 --> 00:39:14,520 Speaker 1: all right, just making my point there on the vaccine. 691 00:39:17,200 --> 00:39:22,320 Speaker 1: You're starting to see some really ugly stuff here coming 692 00:39:22,360 --> 00:39:26,359 Speaker 1: from the left, and you need to be aware of it. 693 00:39:27,360 --> 00:39:32,920 Speaker 1: You need to be you need to be made informed 694 00:39:33,000 --> 00:39:36,520 Speaker 1: on what is being said by the left right now 695 00:39:36,520 --> 00:39:38,520 Speaker 1: about who gets this vaccine and when. This was in 696 00:39:38,560 --> 00:39:42,080 Speaker 1: the New York Times and hat tipped to Noah Rothman 697 00:39:42,160 --> 00:39:46,239 Speaker 1: and David Harsanyi for putting this in my timeline. Harold Schmidt, 698 00:39:46,760 --> 00:39:50,200 Speaker 1: an expert in ethics and health policy at the University 699 00:39:50,239 --> 00:39:54,120 Speaker 1: of Pennsylvania, said that it is reasonable to put essential 700 00:39:54,160 --> 00:39:58,000 Speaker 1: workers ahead of older adults given their risks and that 701 00:39:58,040 --> 00:40:03,720 Speaker 1: they are disproportionately minority. Goes on to say older populations 702 00:40:03,840 --> 00:40:08,480 Speaker 1: are whiter. Doctor Schmidt said society is structured in a 703 00:40:08,520 --> 00:40:12,640 Speaker 1: way that enables them to live longer, instead of giving 704 00:40:12,680 --> 00:40:16,520 Speaker 1: additional health benefits to those who already had more of them. 705 00:40:17,120 --> 00:40:21,279 Speaker 1: We can start to level the playing field a bit. 706 00:40:21,800 --> 00:40:26,560 Speaker 1: Did you catch that? Start to level the playing field 707 00:40:27,320 --> 00:40:33,920 Speaker 1: by getting the vaccine sooner to minorities than to white people, 708 00:40:34,239 --> 00:40:38,640 Speaker 1: because we need more white people to die to level 709 00:40:39,080 --> 00:40:43,000 Speaker 1: the playing field. That is what is being said in 710 00:40:43,040 --> 00:40:47,960 Speaker 1: the pages of the New York Times. Renew the quote 711 00:40:49,440 --> 00:40:52,000 Speaker 1: an expert in ethics and health policy at an Ivy 712 00:40:52,080 --> 00:40:55,359 Speaker 1: League University University of Pennsylvania. Wow, health policy experts, these 713 00:40:55,360 --> 00:40:59,839 Speaker 1: people get way too much credit. We are far too 714 00:41:00,080 --> 00:41:05,799 Speaker 1: quick to listen to them. This is social justice now 715 00:41:06,239 --> 00:41:13,520 Speaker 1: mixed with a kind of eugenicist approach. We need racial balancing. 716 00:41:13,680 --> 00:41:16,920 Speaker 1: This fellow is saying. This is his argument. Want to 717 00:41:16,920 --> 00:41:19,359 Speaker 1: be very clear, so when media matters tries to clip this, 718 00:41:19,760 --> 00:41:22,320 Speaker 1: we can tell them to go stuff it. We're very clear. 719 00:41:22,600 --> 00:41:27,480 Speaker 1: This is Harold Schmidt saying that we need to engage 720 00:41:27,520 --> 00:41:29,560 Speaker 1: in a balancing out of the death rate so that 721 00:41:29,680 --> 00:41:34,080 Speaker 1: more white people will die because, as a general proposition, 722 00:41:34,600 --> 00:41:38,719 Speaker 1: white life expectancy in America is higher than certain other 723 00:41:39,040 --> 00:41:42,080 Speaker 1: minority groups. So we need to we need to essentially 724 00:41:42,120 --> 00:41:50,320 Speaker 1: do some socialist redistribution of years of life on government whim. 725 00:41:50,480 --> 00:41:53,839 Speaker 1: You can't get this vaccine unless the government says you can. 726 00:41:54,600 --> 00:41:59,040 Speaker 1: Government's in control. They're making these arguments out loud. I'm 727 00:41:59,120 --> 00:42:02,640 Speaker 1: going to the page is of the most elite liberal 728 00:42:03,360 --> 00:42:07,319 Speaker 1: journalism place in the country, the New York Times, and 729 00:42:07,360 --> 00:42:09,200 Speaker 1: they're printing this stuff. And this is not the only 730 00:42:10,120 --> 00:42:12,680 Speaker 1: example of this. This is not the only instance. You 731 00:42:12,680 --> 00:42:14,399 Speaker 1: find a lot of this out there. People say, well, 732 00:42:14,440 --> 00:42:19,480 Speaker 1: it should because it disproportionately harms the minority community, it 733 00:42:19,520 --> 00:42:23,440 Speaker 1: should go to minorities first. So skin color, according to 734 00:42:23,480 --> 00:42:29,680 Speaker 1: this analysis, becomes an advantage in getting ahead of the 735 00:42:29,760 --> 00:42:32,840 Speaker 1: line of a virus that will kill people in large 736 00:42:32,920 --> 00:42:36,960 Speaker 1: numbers still in the months ahead. And let's understand here 737 00:42:37,000 --> 00:42:38,880 Speaker 1: that there are a lot of other ways that you 738 00:42:38,920 --> 00:42:41,759 Speaker 1: could slice this data and probably come up with a 739 00:42:41,840 --> 00:42:45,719 Speaker 1: much better I mean, what is the primary indicator of 740 00:42:45,880 --> 00:42:51,319 Speaker 1: risk from COVID age? What is the next indicator of 741 00:42:51,440 --> 00:42:56,160 Speaker 1: risk from COVID comorbidity? And the primary one of those 742 00:42:56,560 --> 00:43:02,799 Speaker 1: is obesity. Age and city are the biggest risk factors 743 00:43:02,880 --> 00:43:06,480 Speaker 1: for we know this, the biggest risk factors for this 744 00:43:06,600 --> 00:43:10,200 Speaker 1: disease out there that we've been able to identify. So 745 00:43:10,640 --> 00:43:15,560 Speaker 1: are we when we're saying that the minority population is 746 00:43:15,600 --> 00:43:20,120 Speaker 1: more affected by this? Are we not taking into account 747 00:43:20,200 --> 00:43:23,520 Speaker 1: the other indicators of how we could get more of 748 00:43:23,560 --> 00:43:28,000 Speaker 1: the at risk population in general, including members of the 749 00:43:28,000 --> 00:43:31,799 Speaker 1: minority population. But shouldn't we have you know, it's it's 750 00:43:31,840 --> 00:43:35,840 Speaker 1: people over seventy five, first day, over seventy five, first 751 00:43:35,880 --> 00:43:38,880 Speaker 1: in line, over sixty five, first in line. Isn't that 752 00:43:39,280 --> 00:43:42,360 Speaker 1: a fair way to do this? No, they're they're arguing 753 00:43:42,480 --> 00:43:46,040 Speaker 1: for they're arguing for giving it to minorities sooner than 754 00:43:46,080 --> 00:43:51,319 Speaker 1: other people based upon what exactly? Because the average life 755 00:43:51,520 --> 00:43:55,279 Speaker 1: I mean, the average life expectancy of of Asian Americans 756 00:43:55,320 --> 00:43:58,319 Speaker 1: I believe exceeds that of white Americans. So are we 757 00:43:58,360 --> 00:44:01,359 Speaker 1: going to have a are they are they calling for 758 00:44:01,520 --> 00:44:06,839 Speaker 1: a racial hierarchy for the speed of vaccination, that there 759 00:44:06,840 --> 00:44:10,160 Speaker 1: are some people of some races that should get the 760 00:44:10,239 --> 00:44:13,600 Speaker 1: vaccine first. Is that really what I just want to 761 00:44:13,640 --> 00:44:15,440 Speaker 1: know if that, because that is the argument that Harold 762 00:44:15,480 --> 00:44:17,680 Speaker 1: Schmidt seems to be making here, and you will hear 763 00:44:17,760 --> 00:44:20,439 Speaker 1: more and more of this in the weeks and months ahead. 764 00:44:20,440 --> 00:44:22,440 Speaker 1: We want to talk about dividing people. You want to 765 00:44:22,480 --> 00:44:25,359 Speaker 1: talk about showing us how much government is willing to 766 00:44:25,400 --> 00:44:30,120 Speaker 1: play god. Harold Schmidt at UPEN wants to level the 767 00:44:30,160 --> 00:44:33,239 Speaker 1: playing field. So, you know, you want certain people to 768 00:44:33,320 --> 00:44:35,759 Speaker 1: have to wait, you know, maybe maybe you have to 769 00:44:35,800 --> 00:44:41,000 Speaker 1: wait for the vaccine a couple extra months, sorry, because 770 00:44:41,080 --> 00:44:44,000 Speaker 1: of the history of oppression in this country, and so 771 00:44:44,040 --> 00:44:47,760 Speaker 1: we need to balance it out. He says, pretty scary 772 00:44:47,800 --> 00:44:50,719 Speaker 1: stuff and something that that this is a mentality that 773 00:44:50,760 --> 00:44:54,320 Speaker 1: has increasingly widespread among the Democrat elites. You should be 774 00:44:54,320 --> 00:44:55,680 Speaker 1: a very you should be aware of it.