1 00:00:01,040 --> 00:00:15,960 Speaker 1: You are entering the freedom hunt. Joe Biden declares Electoral 2 00:00:16,000 --> 00:00:20,840 Speaker 1: College victory, but fraud allegations continue. Attorney General Barr steps down, 3 00:00:21,000 --> 00:00:24,840 Speaker 1: Governor Cuomo accused of sexual harassment, and the moderna vaccine 4 00:00:25,000 --> 00:00:30,080 Speaker 1: Up next, buck Sexton Mission, decoding the news and disseminating information. 5 00:00:30,280 --> 00:00:36,360 Speaker 1: Who is actionable intelligence? Make no mistake American? Great, You're 6 00:00:36,400 --> 00:00:41,080 Speaker 1: a great American again. This is the buck Sexton Shows. 7 00:00:41,200 --> 00:00:45,000 Speaker 1: CIA analysts again, can speak to three hours without a 8 00:00:45,040 --> 00:00:50,320 Speaker 1: phone call. Try doing that sometimes. No, Welcome my friends 9 00:00:50,360 --> 00:00:54,840 Speaker 1: to the buck Sexton Show. Joe Biden taking a victory 10 00:00:54,920 --> 00:00:58,400 Speaker 1: lap yesterday because the Electoral College has certified his win 11 00:00:59,600 --> 00:01:02,320 Speaker 1: and we have to take stock of where we are 12 00:01:02,440 --> 00:01:06,600 Speaker 1: right now in response to this, and I think that 13 00:01:06,640 --> 00:01:09,760 Speaker 1: everyone needs to understand there's going to be a lot 14 00:01:09,760 --> 00:01:12,080 Speaker 1: of frustration here. There's going to be a lot of 15 00:01:13,280 --> 00:01:16,760 Speaker 1: agitation because, yes, we know there was fraud. Yes we 16 00:01:16,880 --> 00:01:20,760 Speaker 1: know that the Democrats stack the deck in their favor 17 00:01:20,920 --> 00:01:25,600 Speaker 1: with the elimination of anti fraud safeguards using COVID nineteen 18 00:01:25,760 --> 00:01:30,640 Speaker 1: as an excuse. But the process is continuing on and 19 00:01:30,800 --> 00:01:36,160 Speaker 1: with each passing week. Now it's favoring Joe Biden. That's 20 00:01:36,280 --> 00:01:40,240 Speaker 1: just an objective reality that we're dealing with. Is there 21 00:01:40,280 --> 00:01:44,840 Speaker 1: the possibility that there will be some last minute case, 22 00:01:45,200 --> 00:01:47,039 Speaker 1: that something will come up that we'll be able to 23 00:01:47,200 --> 00:01:55,720 Speaker 1: finally prove definitively that there was systematic and intentional fraud, 24 00:01:55,960 --> 00:01:59,480 Speaker 1: the kind of proof that even a weak will, even 25 00:01:59,520 --> 00:02:02,920 Speaker 1: a cowardly judge would have to say, for fear of 26 00:02:03,400 --> 00:02:07,120 Speaker 1: shaming his profession or her profession, would have to say, Yes, 27 00:02:07,160 --> 00:02:10,800 Speaker 1: you're correct, this is fraud. We cannot certify the results 28 00:02:10,800 --> 00:02:13,919 Speaker 1: in these states. Yes, it is possible. Is it likely? 29 00:02:15,040 --> 00:02:17,920 Speaker 1: I think you all know the answer to that. Joe 30 00:02:17,960 --> 00:02:22,600 Speaker 1: Biden now is feeling like he is inevitable that this 31 00:02:22,680 --> 00:02:26,280 Speaker 1: is over, this is done with. We can continue, you 32 00:02:26,320 --> 00:02:28,079 Speaker 1: know that old you can walk and chew gum. At 33 00:02:28,080 --> 00:02:30,960 Speaker 1: the same time, we can continue to look for that fraud. 34 00:02:32,600 --> 00:02:38,399 Speaker 1: We can dive into the Antrim County autopsy report from 35 00:02:38,400 --> 00:02:42,320 Speaker 1: the voting machines, right the deep dive that they did. 36 00:02:42,400 --> 00:02:46,280 Speaker 1: I read it last night. I'm curious to see what's 37 00:02:46,320 --> 00:02:48,519 Speaker 1: going to be done with it. I'm sure the DOJ 38 00:02:49,440 --> 00:02:51,239 Speaker 1: is aware of it. I'm sure that this is being 39 00:02:51,440 --> 00:02:54,680 Speaker 1: looked at. Now, being looked at is not the same 40 00:02:54,720 --> 00:02:57,880 Speaker 1: thing as action taken on. But I believe that there 41 00:02:57,880 --> 00:02:59,520 Speaker 1: are people who are going to read this thing and 42 00:03:00,120 --> 00:03:03,760 Speaker 1: take a look at whether or not it changes the 43 00:03:03,800 --> 00:03:08,080 Speaker 1: certification in a place like Michigan. But we have to 44 00:03:08,120 --> 00:03:11,120 Speaker 1: look at that and also understand that Joe Biden is 45 00:03:11,240 --> 00:03:14,880 Speaker 1: preparing for his administration at this point, and this is 46 00:03:14,960 --> 00:03:18,920 Speaker 1: likely what we are going to face. And I understand 47 00:03:18,919 --> 00:03:20,960 Speaker 1: there's going to be heat that I get for this. 48 00:03:21,080 --> 00:03:23,560 Speaker 1: I understand that people don't want to hear this, but 49 00:03:23,600 --> 00:03:27,959 Speaker 1: I always tell you that I will speak the truth 50 00:03:28,040 --> 00:03:30,520 Speaker 1: to you as I see it, and I believe that 51 00:03:30,600 --> 00:03:34,360 Speaker 1: this is the objective truth right now. It is a future, 52 00:03:35,520 --> 00:03:38,000 Speaker 1: It is an issue of the future. It is a 53 00:03:38,080 --> 00:03:41,120 Speaker 1: prediction in a sense. Right the future has not happened yet. 54 00:03:41,640 --> 00:03:43,960 Speaker 1: To borrow from the Terminator films, the future is not 55 00:03:44,040 --> 00:03:48,280 Speaker 1: yet set. But we need to understand what the reality 56 00:03:48,840 --> 00:03:53,440 Speaker 1: of the numbers tells us right now and prepare accordingly, 57 00:03:54,320 --> 00:03:58,760 Speaker 1: including making sure that we focus on the race right 58 00:03:58,760 --> 00:04:02,840 Speaker 1: ahead of us here in George, because a Biden administration 59 00:04:03,040 --> 00:04:06,520 Speaker 1: with the House and the Senate in Democrat control is 60 00:04:06,560 --> 00:04:11,560 Speaker 1: a very different thing than a Biden administration with divided Congress. 61 00:04:12,280 --> 00:04:14,720 Speaker 1: With a divided Congress they're going to have to prop 62 00:04:14,880 --> 00:04:20,840 Speaker 1: up this really buffoonish, clownish and yes corrupt fellow, and 63 00:04:20,920 --> 00:04:24,680 Speaker 1: spend a tremendous amount of time and energy and resources 64 00:04:24,800 --> 00:04:26,880 Speaker 1: just to make sure the American people don't see for 65 00:04:26,920 --> 00:04:32,400 Speaker 1: themselves this is the clown that we've elected. Really this guy. Now, 66 00:04:32,400 --> 00:04:33,560 Speaker 1: I know a lot of you would say you didn't 67 00:04:33,560 --> 00:04:36,480 Speaker 1: elect him, but if he becomes president, then he is 68 00:04:36,520 --> 00:04:40,400 Speaker 1: technically the guy. And so we look at this now 69 00:04:40,440 --> 00:04:42,479 Speaker 1: and we say, what could we do in preparation, what 70 00:04:42,520 --> 00:04:44,960 Speaker 1: could we do to get ready for this? Well, I 71 00:04:44,960 --> 00:04:47,520 Speaker 1: can tell you this much. A lot of what they 72 00:04:47,560 --> 00:04:52,560 Speaker 1: were saying about Trump will be true or would be 73 00:04:52,600 --> 00:04:55,920 Speaker 1: true about a Biden administration. A lot of it would 74 00:04:55,960 --> 00:04:59,960 Speaker 1: be accurate. For example, when they talked about state media 75 00:05:00,240 --> 00:05:02,160 Speaker 1: under Trump, they would say this, they really would only 76 00:05:02,200 --> 00:05:05,200 Speaker 1: say this as a knock on Fox News. And I 77 00:05:05,320 --> 00:05:09,680 Speaker 1: was consistent in pointing out that state media would indicate 78 00:05:09,760 --> 00:05:13,800 Speaker 1: that there's only really one acceptable media point of view. 79 00:05:14,720 --> 00:05:17,760 Speaker 1: I mean true state media. Some places have a government, 80 00:05:18,400 --> 00:05:22,000 Speaker 1: a kind of quasi government or government Oregon, but usually 81 00:05:22,040 --> 00:05:25,919 Speaker 1: if there's an actual state media apparatus, the opposition is 82 00:05:25,960 --> 00:05:30,480 Speaker 1: at a minimum tiny, right, the opposition is small in 83 00:05:30,520 --> 00:05:32,720 Speaker 1: this country. We had the opposite. We had ninety five 84 00:05:32,920 --> 00:05:38,000 Speaker 1: percent of journos out there, ninety five percent of them 85 00:05:38,160 --> 00:05:42,479 Speaker 1: anti the administration, and they advanced their careers despite what 86 00:05:42,520 --> 00:05:45,080 Speaker 1: they said, despite what Jim Acosta would pretend when you 87 00:05:45,160 --> 00:05:46,920 Speaker 1: go to the White House, you know, they were not 88 00:05:47,440 --> 00:05:50,960 Speaker 1: doing the journalistic equivalent of storming the beaches of Normandy. 89 00:05:51,640 --> 00:05:54,360 Speaker 1: They were advancing their careers, they were becoming more famous, 90 00:05:54,400 --> 00:05:59,960 Speaker 1: they were fattening their paychecks. So in no way, whatsoever, 91 00:06:00,640 --> 00:06:03,320 Speaker 1: in no way do we see this now and have 92 00:06:03,360 --> 00:06:05,520 Speaker 1: any reason to believe that Joe Biden will be anything 93 00:06:05,520 --> 00:06:12,240 Speaker 1: other than absolutely coddled and propped up and assisted by 94 00:06:12,240 --> 00:06:16,120 Speaker 1: the media. That's what's going to happen. And you're going 95 00:06:16,160 --> 00:06:21,400 Speaker 1: to hear a lot of empty rhetoric from Biden himself 96 00:06:21,400 --> 00:06:24,120 Speaker 1: but also from the people around him, because this is 97 00:06:24,160 --> 00:06:27,200 Speaker 1: going to be the most incredible emperor has no closed 98 00:06:27,200 --> 00:06:32,040 Speaker 1: situation you've ever seen. The emperor is too old, he's incompetent, 99 00:06:32,160 --> 00:06:34,719 Speaker 1: and he's corrupt. But they're going to tell you that 100 00:06:34,760 --> 00:06:38,039 Speaker 1: this is great. There's gonna be this amazing restoration of 101 00:06:38,040 --> 00:06:40,800 Speaker 1: America that happens. You know, that's a fraud. You know, 102 00:06:40,880 --> 00:06:45,520 Speaker 1: that's not true. The amount of lies that you are 103 00:06:45,640 --> 00:06:48,239 Speaker 1: likely to be told in the next ninety days alone 104 00:06:48,520 --> 00:06:52,159 Speaker 1: will surpass anything you've ever seen before, because now the 105 00:06:52,200 --> 00:06:56,599 Speaker 1: media doesn't even really pretend there's no objectivity. They picked 106 00:06:56,600 --> 00:06:59,080 Speaker 1: a team. He's their team. This is what they're going 107 00:06:59,160 --> 00:07:03,200 Speaker 1: to do. And here's what Biden was saying yesterday. On 108 00:07:03,240 --> 00:07:05,880 Speaker 1: the one hand, calling for unity, calling to bring us 109 00:07:05,880 --> 00:07:13,120 Speaker 1: all together, and then trashing Trump play eighteen. By his 110 00:07:13,240 --> 00:07:17,760 Speaker 1: own standards, these numbers represented a clear victory then, and 111 00:07:17,880 --> 00:07:21,320 Speaker 1: I respectfully suggest they do so now. If anyone didn't 112 00:07:21,320 --> 00:07:24,320 Speaker 1: know before, they know now. What beats deep in the 113 00:07:24,360 --> 00:07:29,080 Speaker 1: hearts of the American people is this democracy, the right 114 00:07:29,120 --> 00:07:32,800 Speaker 1: to be heard, to have your vote counted, to choose 115 00:07:32,960 --> 00:07:38,800 Speaker 1: leaders of this nation, to govern ourselves in America. Politicians 116 00:07:38,840 --> 00:07:43,000 Speaker 1: don't take power. People grant power to them. The flame 117 00:07:43,040 --> 00:07:46,320 Speaker 1: of democracy was lit in this nation a long time ago, 118 00:07:46,520 --> 00:07:50,240 Speaker 1: and we now know nothing, not even a pandemic or 119 00:07:50,280 --> 00:07:54,640 Speaker 1: an abusive power, can extinguish that flame. An abusive power. 120 00:07:54,680 --> 00:07:58,320 Speaker 1: What was the abusive power again? Bringing lawsuits something that 121 00:07:58,400 --> 00:08:01,560 Speaker 1: they did endlessly and bad faith against Trump to slow 122 00:08:01,680 --> 00:08:05,240 Speaker 1: him down. But now the courts are bad. Understand that 123 00:08:05,280 --> 00:08:08,720 Speaker 1: We are not only going into a post journalism area 124 00:08:08,920 --> 00:08:13,480 Speaker 1: with the Democrats, We're also going into a post principle era. 125 00:08:14,360 --> 00:08:17,080 Speaker 1: Whatever they don't like, whatever stands in their way, they'll 126 00:08:17,080 --> 00:08:20,360 Speaker 1: just discard. They don't have to make any show of 127 00:08:20,600 --> 00:08:23,360 Speaker 1: really caring what you think anymore. This is about the 128 00:08:23,440 --> 00:08:26,720 Speaker 1: raw exercise of political power. They think they will have 129 00:08:26,760 --> 00:08:29,520 Speaker 1: achieved it through this, and look at what they did 130 00:08:29,520 --> 00:08:33,080 Speaker 1: to get here. Biden's talking about democracy and how beautiful 131 00:08:33,080 --> 00:08:35,160 Speaker 1: a thing it is now because he likes the outcome 132 00:08:35,240 --> 00:08:38,160 Speaker 1: for him as it stands so far. The rest of 133 00:08:38,200 --> 00:08:41,120 Speaker 1: us stand around saying, you guys, change the rules in 134 00:08:41,120 --> 00:08:46,360 Speaker 1: an election year by hyperventilating about and exaggerating about the 135 00:08:46,480 --> 00:08:50,480 Speaker 1: threat of COVID nineteen only as it pertains of course, 136 00:08:50,520 --> 00:08:55,400 Speaker 1: to voting in person, not to having blm rallies in 137 00:08:55,400 --> 00:08:58,800 Speaker 1: the streets, not to any number of other activities that 138 00:08:58,880 --> 00:09:04,120 Speaker 1: are Democrat approved, but voting no that required enormous shifts 139 00:09:04,160 --> 00:09:09,800 Speaker 1: in the actual mail in balloting process, and transforming the 140 00:09:09,960 --> 00:09:12,080 Speaker 1: process in the year of the election and using it 141 00:09:12,120 --> 00:09:14,560 Speaker 1: to the absolute maximum advantage. And I do at some 142 00:09:14,640 --> 00:09:17,559 Speaker 1: level blame Republicans, who are supposed to be the ones 143 00:09:18,200 --> 00:09:22,000 Speaker 1: on guard against this blocking this. I blame them for 144 00:09:22,160 --> 00:09:26,120 Speaker 1: not doing more in advance, for not seeing this train 145 00:09:26,320 --> 00:09:29,680 Speaker 1: coming down the tracks. Why do you think Pelosi and 146 00:09:29,760 --> 00:09:33,520 Speaker 1: the other Libs, we're going all out with the crazy 147 00:09:33,600 --> 00:09:38,520 Speaker 1: Post office conspiracy over the summer. So that's something that 148 00:09:38,600 --> 00:09:41,560 Speaker 1: now we have to learn from. I hope going forward, 149 00:09:41,559 --> 00:09:44,040 Speaker 1: no matter what, matter what we end up finding out 150 00:09:44,080 --> 00:09:46,360 Speaker 1: here about the fraud, I will continue to look at 151 00:09:46,400 --> 00:09:51,040 Speaker 1: every allegation, every bit of evidence that is presented here 152 00:09:51,559 --> 00:09:55,160 Speaker 1: by the Trump legal team, by anyone who comes forward 153 00:09:55,559 --> 00:09:59,480 Speaker 1: and has proof of fraud. We owe that to the country. 154 00:10:00,520 --> 00:10:03,480 Speaker 1: But we also need to be ready for what is 155 00:10:03,520 --> 00:10:07,320 Speaker 1: coming now. And you are going to see an administration 156 00:10:07,400 --> 00:10:12,520 Speaker 1: that has the full and open partisan backing of the 157 00:10:12,559 --> 00:10:17,520 Speaker 1: social media companies, the entirety of the journalistic media apparatus 158 00:10:17,559 --> 00:10:23,720 Speaker 1: in its pocket, big government and big business working hand 159 00:10:23,760 --> 00:10:29,120 Speaker 1: in glove, not shedding any tears for the destruction, the wanton, 160 00:10:29,360 --> 00:10:32,960 Speaker 1: reckless destruction of small businesses across the country as a 161 00:10:33,000 --> 00:10:39,000 Speaker 1: result of these preposterous lockdowns. You're not gonna see any 162 00:10:39,080 --> 00:10:42,719 Speaker 1: any tears over that. They like this advantage that they have. 163 00:10:43,720 --> 00:10:46,680 Speaker 1: The eradication of small business is something that Democrats aren't 164 00:10:46,720 --> 00:10:50,400 Speaker 1: particularly upset about either. Every business that's independently owned and 165 00:10:50,440 --> 00:10:55,760 Speaker 1: operated is a little bit of a pushback against central planning. 166 00:10:55,800 --> 00:11:00,680 Speaker 1: So they prefer that they just have Amazon and Google 167 00:11:00,960 --> 00:11:05,200 Speaker 1: and these megacorporations calling all the shots and making sure 168 00:11:05,240 --> 00:11:08,440 Speaker 1: they go in favor of the Democrats. And we're gonna 169 00:11:08,440 --> 00:11:11,400 Speaker 1: be up against an administration that has already shown us 170 00:11:12,520 --> 00:11:16,360 Speaker 1: again assuming that this pathway continues, but we have to 171 00:11:16,440 --> 00:11:19,040 Speaker 1: deal with the path that is before us. We're going 172 00:11:19,080 --> 00:11:23,320 Speaker 1: to have an administration that is already compromised by China, 173 00:11:23,360 --> 00:11:27,679 Speaker 1: our chief geopolitical rival. They lied about Russia collusion with 174 00:11:27,720 --> 00:11:30,880 Speaker 1: Trump and pretended that Russia was a much greater threat 175 00:11:30,880 --> 00:11:33,600 Speaker 1: than it was, But in fact what they were saying 176 00:11:33,640 --> 00:11:39,120 Speaker 1: about Russia is true of China. It has infiltrated our 177 00:11:39,280 --> 00:11:43,800 Speaker 1: government apparatus, it has been stealing our most sensitive information 178 00:11:43,800 --> 00:11:48,400 Speaker 1: and secrets for years, and it has compromised the would 179 00:11:48,440 --> 00:11:53,200 Speaker 1: be first family very directly and very obviously. So this 180 00:11:53,280 --> 00:11:56,640 Speaker 1: is going to be an enormous challenge. I hope that 181 00:11:56,679 --> 00:12:01,360 Speaker 1: no matter what, President Trump and all of his chief 182 00:12:01,400 --> 00:12:06,280 Speaker 1: advisors and supporters will come together and face this as one. 183 00:12:07,559 --> 00:12:10,120 Speaker 1: But this is where we are. The electoral college. It 184 00:12:10,240 --> 00:12:13,760 Speaker 1: is now President elect Biden as of now, I understand 185 00:12:13,800 --> 00:12:17,000 Speaker 1: that you're going to tell me it's a fraud, and 186 00:12:17,080 --> 00:12:22,000 Speaker 1: I share your sentiment. I share your outrage. But this 187 00:12:22,120 --> 00:12:24,960 Speaker 1: is where we are now. I've been saying, we trust 188 00:12:25,000 --> 00:12:28,120 Speaker 1: the process. The process is not over, but we are 189 00:12:28,160 --> 00:12:30,680 Speaker 1: taking stock of this today. We have our work cut 190 00:12:30,679 --> 00:12:33,720 Speaker 1: out for us. Friends. We have a Georgia election to win. 191 00:12:34,440 --> 00:12:37,880 Speaker 1: We have judges that should be getting at the last 192 00:12:37,920 --> 00:12:40,640 Speaker 1: minute here pushed through as many federal judges as possible. 193 00:12:40,679 --> 00:12:43,320 Speaker 1: I don't know what the heck is going on with 194 00:12:43,360 --> 00:12:48,520 Speaker 1: the Republicans thinking that they can take it easy, and 195 00:12:48,559 --> 00:12:53,080 Speaker 1: we have to start to make the argument against what 196 00:12:53,200 --> 00:12:58,120 Speaker 1: will be a Biden administration that has a lot of 197 00:12:58,160 --> 00:13:01,800 Speaker 1: support from very powerful people. And you will be told 198 00:13:01,800 --> 00:13:04,080 Speaker 1: that what you know is not true and what you 199 00:13:04,120 --> 00:13:07,280 Speaker 1: know is and so you got to relearn that part 200 00:13:07,280 --> 00:13:10,800 Speaker 1: of it. Get ready for this, friends, We are in 201 00:13:10,840 --> 00:13:14,800 Speaker 1: this together. We will eventually win. It's just a question 202 00:13:14,840 --> 00:13:19,760 Speaker 1: of when you're in the freedom mind. This is the 203 00:13:19,880 --> 00:13:26,360 Speaker 1: Buck Sexton Show podcast. Four years ago, when I was 204 00:13:26,360 --> 00:13:28,600 Speaker 1: a city and Vice president of the United States, it 205 00:13:28,760 --> 00:13:33,040 Speaker 1: was my responsibility to announce the tally the electoral College votes, 206 00:13:33,200 --> 00:13:37,120 Speaker 1: the Joint Session of Congress and voted to elect Donald Trump. 207 00:13:37,320 --> 00:13:41,040 Speaker 1: I did my job, and I'm pleased, but not surprised. 208 00:13:41,040 --> 00:13:43,240 Speaker 1: But the number of my former Republican colleges in the 209 00:13:43,320 --> 00:13:48,199 Speaker 1: Senate who have acknowledged already the results of the electoral College, 210 00:13:48,240 --> 00:13:51,280 Speaker 1: I thank them, and I'm convinced we can work together 211 00:13:51,320 --> 00:13:54,520 Speaker 1: for the good of the nation on many subjects. That's 212 00:13:54,559 --> 00:13:58,160 Speaker 1: the duty owed to the people, to our constitution, to 213 00:13:58,240 --> 00:14:01,599 Speaker 1: our history. You know, this battle for the soul of 214 00:14:01,640 --> 00:14:06,520 Speaker 1: America democracy prevailed. We the people voted, faith in our 215 00:14:06,559 --> 00:14:11,240 Speaker 1: institutions held. The integrity of our elections remains intact. And 216 00:14:11,240 --> 00:14:13,880 Speaker 1: now it's time to turn the page, as you've done 217 00:14:13,880 --> 00:14:17,680 Speaker 1: throughout our history, to unite to heal. Yeah, he sounds 218 00:14:17,679 --> 00:14:19,920 Speaker 1: like he's in great shape, doesn't he. Everything's gonna be 219 00:14:19,960 --> 00:14:21,960 Speaker 1: just fine. It's gonna be a great president. It's gonna 220 00:14:21,960 --> 00:14:25,240 Speaker 1: be a great presidency, folks, all all eighteen months or 221 00:14:25,280 --> 00:14:28,240 Speaker 1: so of it before he decides he's had enough. Although 222 00:14:28,640 --> 00:14:30,880 Speaker 1: you know, I will say a lot of us underestimated. 223 00:14:31,000 --> 00:14:32,280 Speaker 1: You know, I don't think it's fair to say you 224 00:14:32,360 --> 00:14:39,040 Speaker 1: under underestimated Joe Biden. I underestimated the Democrat willingness to 225 00:14:39,160 --> 00:14:44,320 Speaker 1: put forward a clownish buffoon, but to create a package 226 00:14:44,440 --> 00:14:47,360 Speaker 1: of a Biden administration that they were able to sell 227 00:14:47,480 --> 00:14:50,280 Speaker 1: to enough people that they thought this was gonna be 228 00:14:50,360 --> 00:14:54,640 Speaker 1: much better. Look the Trump't arrangement syndrome that they spread 229 00:14:54,680 --> 00:14:56,680 Speaker 1: all of that, the media spread all across the country. 230 00:14:57,360 --> 00:15:00,600 Speaker 1: It certainly had an effect. I mean, were a lot 231 00:15:00,640 --> 00:15:02,680 Speaker 1: a lot of people. The fact that Joe Biden, let's 232 00:15:02,680 --> 00:15:06,120 Speaker 1: say Joe Biden cheated just theoretically though I don't want 233 00:15:06,120 --> 00:15:07,560 Speaker 1: to anyone to fact check me on this, but let's 234 00:15:07,560 --> 00:15:10,320 Speaker 1: say Joe Biden had had his team add a half 235 00:15:10,320 --> 00:15:12,920 Speaker 1: a million votes to the tally. The fact that this 236 00:15:12,960 --> 00:15:17,120 Speaker 1: guy still got the eighty million votes roughly that he 237 00:15:17,400 --> 00:15:22,560 Speaker 1: is mind blowing, this clown, this guy whose son is 238 00:15:22,600 --> 00:15:25,520 Speaker 1: getting spare keys made for him to open up the 239 00:15:25,600 --> 00:15:28,160 Speaker 1: office where they're gonna be peddling influence to the Chinese 240 00:15:28,160 --> 00:15:32,000 Speaker 1: Communist Party when he's not, you know, getting strippers knocked 241 00:15:32,080 --> 00:15:34,920 Speaker 1: up and pretending he's not the dad and doing all 242 00:15:35,000 --> 00:15:37,400 Speaker 1: kinds of you know, I mean, come on, this guy, 243 00:15:38,200 --> 00:15:41,840 Speaker 1: he's gonna be president. Maybe maybe I know, it's not 244 00:15:42,360 --> 00:15:44,400 Speaker 1: until he's sworn in. I mean, folks, I just want 245 00:15:44,440 --> 00:15:47,960 Speaker 1: to know what will be the At what point do 246 00:15:48,000 --> 00:15:50,200 Speaker 1: you think that it's no longer an issue of having 247 00:15:50,200 --> 00:15:52,800 Speaker 1: a backbone for the fight to call on the predit? 248 00:15:53,240 --> 00:15:55,880 Speaker 1: Do we wait? I will ask some folks this because 249 00:15:55,880 --> 00:15:58,040 Speaker 1: I know today, just by me saying I'm trying to 250 00:15:58,080 --> 00:16:00,880 Speaker 1: take stock of where we are and be honest about this, 251 00:16:01,720 --> 00:16:03,160 Speaker 1: I know people are can email me and say that, 252 00:16:03,200 --> 00:16:04,680 Speaker 1: you know, I don't have enough stomach for the fight, 253 00:16:04,760 --> 00:16:07,080 Speaker 1: or something like that, and I would just want to 254 00:16:07,120 --> 00:16:10,600 Speaker 1: respond to them what I've been saying. Fight every step 255 00:16:10,640 --> 00:16:13,080 Speaker 1: of the way. But at some point, you know, at 256 00:16:13,080 --> 00:16:16,360 Speaker 1: some point where the team that's staying behind on the field, 257 00:16:16,720 --> 00:16:19,560 Speaker 1: at least for this particular game, when the other team 258 00:16:19,680 --> 00:16:22,000 Speaker 1: is left, they're waving a trophy in the air, and 259 00:16:22,040 --> 00:16:24,440 Speaker 1: the stands have emptied out, and the lights, you know, 260 00:16:24,480 --> 00:16:28,240 Speaker 1: the field lights are getting turned off. Is it the 261 00:16:28,240 --> 00:16:31,760 Speaker 1: inauguration day? Do I think that there's going to be 262 00:16:31,800 --> 00:16:36,120 Speaker 1: an opportunity perhaps to bring action against Joe Biden and 263 00:16:36,160 --> 00:16:39,160 Speaker 1: against some of the other some of the Democrats who 264 00:16:39,200 --> 00:16:41,720 Speaker 1: are involved in Russia collusion, for example, based on the 265 00:16:41,800 --> 00:16:44,640 Speaker 1: Durham probe. I think it's possible. I wouldn't say it's 266 00:16:44,680 --> 00:16:47,240 Speaker 1: likely at all. I always tell you no one can 267 00:16:47,240 --> 00:16:50,440 Speaker 1: predict the future. Obviously not a lot of US conservatives can. 268 00:16:50,480 --> 00:16:52,800 Speaker 1: I really believed in my heart that Trump was going 269 00:16:52,840 --> 00:16:55,280 Speaker 1: to win, and yeah, I think that if only legal 270 00:16:55,280 --> 00:16:57,600 Speaker 1: ballots were countered, I think that Trump did win. But 271 00:16:57,760 --> 00:17:01,360 Speaker 1: I can't change this. You can change this. I mean, 272 00:17:01,400 --> 00:17:04,440 Speaker 1: I wish that I had the resources and the ability 273 00:17:04,440 --> 00:17:06,520 Speaker 1: to go out there and find all this fraud and 274 00:17:06,560 --> 00:17:09,919 Speaker 1: piece it all together. I'm willing to tell you though, 275 00:17:09,920 --> 00:17:12,640 Speaker 1: the people that are claiming that, don't worry. It's still 276 00:17:12,640 --> 00:17:15,000 Speaker 1: in the bag. There's the plan, release the crack in. 277 00:17:15,600 --> 00:17:18,600 Speaker 1: They're not being honest with you. They're not being straight 278 00:17:18,640 --> 00:17:24,680 Speaker 1: with you. The best, the biggest earliest Trump supporters that 279 00:17:24,800 --> 00:17:27,080 Speaker 1: I know, people that I won't name because I've talked 280 00:17:27,080 --> 00:17:29,280 Speaker 1: to them in confidence, but the ones that I know, 281 00:17:29,680 --> 00:17:31,879 Speaker 1: they'll say offline, yeah, look, this is not it's not 282 00:17:31,920 --> 00:17:33,600 Speaker 1: looking good. But we fight this to the end. That's 283 00:17:33,600 --> 00:17:36,840 Speaker 1: where I am. I'm telling you, let's let's deal with 284 00:17:36,880 --> 00:17:41,600 Speaker 1: what's ahead of us. Continue to push see where this 285 00:17:41,720 --> 00:17:48,680 Speaker 1: Antrim County audit, the forensic electronic audit really goes, and 286 00:17:49,080 --> 00:17:52,320 Speaker 1: understand that there's a lot, there's a lot that we 287 00:17:52,400 --> 00:17:57,040 Speaker 1: have here that we have to focus on. And I 288 00:17:57,080 --> 00:18:02,000 Speaker 1: am very concerned about the trajectory of the US versus 289 00:18:02,080 --> 00:18:06,639 Speaker 1: China under a possible Biden administration now, but you know 290 00:18:06,760 --> 00:18:10,000 Speaker 1: this is this is something that we have to regain 291 00:18:10,040 --> 00:18:12,760 Speaker 1: our focus here pretty quickly because they're gonna want to 292 00:18:12,840 --> 00:18:16,119 Speaker 1: hit the ground running. We are weeks away from an 293 00:18:16,160 --> 00:18:18,960 Speaker 1: inauguration that the media is going to treat as a 294 00:18:19,000 --> 00:18:22,520 Speaker 1: total reset. And remember, our freedoms are under assault because 295 00:18:22,520 --> 00:18:26,920 Speaker 1: of COVID and ways that are unimaginable. We have an 296 00:18:27,119 --> 00:18:30,520 Speaker 1: enormous challenge ahead of us with the Chinese Communist Party, 297 00:18:31,160 --> 00:18:33,960 Speaker 1: and we've got a buffoon in Joe Biden who's going 298 00:18:34,000 --> 00:18:36,919 Speaker 1: to be the one calling the shots if this trend continues. 299 00:18:37,680 --> 00:18:41,960 Speaker 1: Thanks for listening to the past. Remember to subscribe on 300 00:18:42,000 --> 00:18:46,280 Speaker 1: Apple podcasts, the iHeartRadio app, or wherever you get your podcasts. 301 00:18:47,320 --> 00:18:51,560 Speaker 1: I mentioned the Michigan voting machine audit. I just going 302 00:18:51,640 --> 00:18:54,520 Speaker 1: to say that the President of the United States, Donald Trump, 303 00:18:54,680 --> 00:18:57,080 Speaker 1: was sharing this earlier today. This is what he thinks 304 00:18:57,160 --> 00:18:59,960 Speaker 1: is going on here, and we should at least follow 305 00:19:00,119 --> 00:19:03,680 Speaker 1: what the actual commander in chief is saying about all 306 00:19:03,680 --> 00:19:07,560 Speaker 1: of this. He wrote on Twitter, quote sixty eight percent ararated. 307 00:19:07,560 --> 00:19:10,960 Speaker 1: Michigan voting machines should be by law a tiny percentage 308 00:19:10,960 --> 00:19:14,200 Speaker 1: of one percent. Did the Michigan Secretary of State break 309 00:19:14,280 --> 00:19:19,760 Speaker 1: the law? Stay tuned? And then tremendous problems being found 310 00:19:19,800 --> 00:19:22,760 Speaker 1: with voting machines. They are so far off it is 311 00:19:22,840 --> 00:19:26,520 Speaker 1: ridiculous able to take a landslide victory and reduce it 312 00:19:26,560 --> 00:19:29,639 Speaker 1: to a tight loss. This is not what the usay 313 00:19:29,840 --> 00:19:34,520 Speaker 1: is all about. Law enforcement shielding machines do not tamper 314 00:19:34,720 --> 00:19:38,800 Speaker 1: a crime. Much more to come? Okay, well let's see 315 00:19:38,800 --> 00:19:40,960 Speaker 1: what the much more to come is. As I've been 316 00:19:40,960 --> 00:19:44,240 Speaker 1: telling you all along, I want more information. I want 317 00:19:44,280 --> 00:19:48,280 Speaker 1: more data, more evidence that there is no There is 318 00:19:48,320 --> 00:19:51,280 Speaker 1: no part of me that is saying, oh if we 319 00:19:51,320 --> 00:19:53,040 Speaker 1: find out right, and think of this almost like a 320 00:19:53,119 --> 00:19:57,640 Speaker 1: murder investigation, all right, you can know that someone did 321 00:19:57,640 --> 00:20:00,480 Speaker 1: the murder. You could know that someone did the as 322 00:20:00,480 --> 00:20:04,919 Speaker 1: a law enforcement person. But you can't hold them while 323 00:20:04,920 --> 00:20:07,560 Speaker 1: you're gathering all the evidence. If you if you have 324 00:20:07,680 --> 00:20:10,720 Speaker 1: not yet you know, charged them with the crop, right, 325 00:20:10,720 --> 00:20:12,240 Speaker 1: you can't just hold them. You're like, well, we think 326 00:20:12,280 --> 00:20:14,960 Speaker 1: it's you, but we don't have the evidence yet to 327 00:20:15,520 --> 00:20:18,200 Speaker 1: go and get an arrest warrant, and we don't have that, 328 00:20:18,320 --> 00:20:20,959 Speaker 1: so we're just gonna hold you until we find all 329 00:20:21,000 --> 00:20:23,320 Speaker 1: of it. No, you got to release the person, even 330 00:20:23,320 --> 00:20:26,560 Speaker 1: if you know, even if you know that they're probably guilty, 331 00:20:26,600 --> 00:20:28,879 Speaker 1: but you don't have the proof yet. You got to 332 00:20:28,960 --> 00:20:31,080 Speaker 1: release them. That doesn't mean, though, you can't come back 333 00:20:31,119 --> 00:20:35,160 Speaker 1: to it later. So let's see. Let's see what we're 334 00:20:35,200 --> 00:20:38,040 Speaker 1: able to pull together here. I've been hearing from people 335 00:20:39,280 --> 00:20:41,520 Speaker 1: who are not just a Trump legal team, but are 336 00:20:41,720 --> 00:20:45,840 Speaker 1: independently trying to assess and pull together all the data. 337 00:20:45,920 --> 00:20:49,440 Speaker 1: You know. Remember, it's one thing to show that it's 338 00:20:49,520 --> 00:20:54,240 Speaker 1: almost impossible statistically for Trump to have lost in some 339 00:20:54,320 --> 00:20:58,359 Speaker 1: of these places, but almost impossible without proof of the 340 00:20:58,440 --> 00:21:01,679 Speaker 1: intentional Oh, it is not going to be enough to 341 00:21:01,680 --> 00:21:04,520 Speaker 1: get a judge to say that there was cheating here. 342 00:21:05,400 --> 00:21:07,080 Speaker 1: And that's not the same thing as saying there was 343 00:21:07,160 --> 00:21:09,800 Speaker 1: no cheating. Right. So this is what I'm trying to 344 00:21:10,520 --> 00:21:13,480 Speaker 1: I'm talking about the process and the system and trying 345 00:21:13,480 --> 00:21:17,440 Speaker 1: to make us all understand what's really happening, what's unfolding 346 00:21:17,480 --> 00:21:23,400 Speaker 1: before us right now. And it's infuriating, but it is 347 00:21:23,960 --> 00:21:27,160 Speaker 1: what it is. So Trump is saying that they found 348 00:21:27,200 --> 00:21:31,160 Speaker 1: these problems. We'll see what ends up happening. And as 349 00:21:31,160 --> 00:21:33,840 Speaker 1: I've also told you, affidavits not going to be enough, 350 00:21:34,560 --> 00:21:36,119 Speaker 1: not going to be enough. You and I can sit 351 00:21:36,200 --> 00:21:39,560 Speaker 1: here and have a conversation about how affidavits are these are. 352 00:21:39,800 --> 00:21:42,040 Speaker 1: Do I believe them? Yes? I do. Do I think 353 00:21:42,080 --> 00:21:45,560 Speaker 1: that these people are telling the truth. Yeah, But is 354 00:21:45,600 --> 00:21:49,040 Speaker 1: a judge going to say, well, this person saw a 355 00:21:49,160 --> 00:21:54,439 Speaker 1: thousand ballots that it's inexplicable how they all went for Biden. 356 00:21:55,400 --> 00:21:59,199 Speaker 1: But I'm going to invalidate then the hundred thousand ballots 357 00:21:59,200 --> 00:22:02,800 Speaker 1: that were counted that day at that election site. They're 358 00:22:02,840 --> 00:22:05,280 Speaker 1: not going to do that. The judge is not going 359 00:22:05,320 --> 00:22:09,720 Speaker 1: to do that. So, as I've been telling you, the 360 00:22:09,720 --> 00:22:13,560 Speaker 1: the affidavits are not enough. And look, I know if 361 00:22:13,600 --> 00:22:15,119 Speaker 1: I'm wrong about any of this, I'll come back and 362 00:22:15,160 --> 00:22:17,040 Speaker 1: I'll tell you that I'm wrong. I will tell you 363 00:22:17,040 --> 00:22:19,080 Speaker 1: there are people out there right now who are just 364 00:22:19,119 --> 00:22:22,040 Speaker 1: squabbling from the from the scraps or for the scraps 365 00:22:22,040 --> 00:22:25,560 Speaker 1: from the Trump train, and it's really just about them. 366 00:22:25,640 --> 00:22:29,040 Speaker 1: They don't there's no interest in then being honest with 367 00:22:29,040 --> 00:22:30,720 Speaker 1: people because they don't want they don't want to shoot 368 00:22:30,720 --> 00:22:34,000 Speaker 1: the messenger phenomenon to happen right now, you know. But 369 00:22:34,080 --> 00:22:38,359 Speaker 1: the electoral College met yesterday and it is now. It 370 00:22:38,480 --> 00:22:41,200 Speaker 1: is now President elect Joe Biden. That's that's where we are. 371 00:22:42,480 --> 00:22:46,000 Speaker 1: And I spit out the words too, but I appreciate 372 00:22:46,080 --> 00:22:47,840 Speaker 1: that those of you who are joining me here understand 373 00:22:47,880 --> 00:22:51,159 Speaker 1: that we gotta face this. We gotta face it. We 374 00:22:51,200 --> 00:22:53,240 Speaker 1: can't hide from it, can't run from it. This is 375 00:22:53,280 --> 00:22:57,800 Speaker 1: what we're dealing with. And you also have the resignation 376 00:22:58,119 --> 00:23:03,120 Speaker 1: of Attorney General ball Are that occurred yesterday. And let 377 00:23:03,119 --> 00:23:06,600 Speaker 1: me say this, I have been a big proponent of 378 00:23:06,640 --> 00:23:09,440 Speaker 1: the Attorney general. I think that he's an excellent legal mind. 379 00:23:09,440 --> 00:23:11,879 Speaker 1: I think he's a good and ethical man, and I 380 00:23:11,960 --> 00:23:14,400 Speaker 1: understand there's a lot of frustration right now about both 381 00:23:14,400 --> 00:23:16,640 Speaker 1: the Durham probe and the election. A few things here. One, 382 00:23:17,880 --> 00:23:22,119 Speaker 1: he appointed Durham. Durham's a guy running that probe, and 383 00:23:22,520 --> 00:23:24,800 Speaker 1: you know, I don't there's no way for the Attorney 384 00:23:24,840 --> 00:23:27,240 Speaker 1: General that I'm aware of, to say you need to 385 00:23:27,280 --> 00:23:31,840 Speaker 1: speed this thing up. That could be considered undue interference, 386 00:23:31,880 --> 00:23:35,360 Speaker 1: that could be considered politicization. So he handed this off 387 00:23:35,400 --> 00:23:38,639 Speaker 1: to somebody who's supposed to be a very dogged and 388 00:23:38,760 --> 00:23:41,520 Speaker 1: thorough prosecutor. Well, I think a lot of people are 389 00:23:41,560 --> 00:23:46,160 Speaker 1: finding out as prosecutors are just lawyers. They're just lawyers. 390 00:23:45,920 --> 00:23:50,280 Speaker 1: There's not some you know, factory of superhero somewhere that's 391 00:23:50,359 --> 00:23:53,440 Speaker 1: churning out great folks will then all become prosecutors, right, 392 00:23:53,480 --> 00:23:56,960 Speaker 1: there's bad prosecutors, good prosecutors. And so the Durham probe 393 00:23:57,720 --> 00:24:00,479 Speaker 1: is frustrating. But I also never really believe that they 394 00:24:00,520 --> 00:24:04,439 Speaker 1: would that they would hold to full account members of 395 00:24:04,440 --> 00:24:07,400 Speaker 1: the deep state. They're too powerful. There's there's too many 396 00:24:07,440 --> 00:24:13,520 Speaker 1: connections here among them. And then you have the frustration 397 00:24:13,840 --> 00:24:18,119 Speaker 1: over bar and the election, and I just he's not 398 00:24:18,200 --> 00:24:20,879 Speaker 1: a judge. And I know this is not maybe a 399 00:24:20,920 --> 00:24:23,320 Speaker 1: popular thing to say right now, but he's not a judge. 400 00:24:23,920 --> 00:24:27,160 Speaker 1: What is he supposed to do here? People who say 401 00:24:27,400 --> 00:24:31,320 Speaker 1: that the DOJ is not looking at these allegations, I 402 00:24:31,440 --> 00:24:34,520 Speaker 1: have it. I have it on very good authority that 403 00:24:34,720 --> 00:24:38,680 Speaker 1: they are looking at these allegations, and they are presenting 404 00:24:39,119 --> 00:24:42,439 Speaker 1: they are presenting this information up the chain, and that 405 00:24:43,680 --> 00:24:47,439 Speaker 1: it's exactly what I've been saying. The Democrats removed the 406 00:24:47,560 --> 00:24:52,199 Speaker 1: safeguards to be able to prove the fraud, so we 407 00:24:52,240 --> 00:24:54,600 Speaker 1: can keep running around I understand there's this frustration people are. 408 00:24:54,640 --> 00:24:56,439 Speaker 1: It's like they're banging on the wall here saying, but 409 00:24:56,520 --> 00:24:59,159 Speaker 1: there was fraud. I'm saying, I know what. You have 410 00:24:59,440 --> 00:25:03,159 Speaker 1: to be able to prove it or judges will not 411 00:25:03,359 --> 00:25:06,280 Speaker 1: do anything about it. This is where we are. You know, 412 00:25:06,480 --> 00:25:10,679 Speaker 1: if you had a burglary and and somebody and somebody 413 00:25:10,720 --> 00:25:13,480 Speaker 1: pulled all the of the the alarms and the and 414 00:25:13,520 --> 00:25:15,840 Speaker 1: the video cameras out of the room, and all of 415 00:25:15,880 --> 00:25:18,680 Speaker 1: a sudden, the you know, the diamond necklace is gone. 416 00:25:19,040 --> 00:25:21,000 Speaker 1: You can talk about how it was stolen, but if 417 00:25:21,080 --> 00:25:24,040 Speaker 1: you can't show any proof, no one's going to prison. 418 00:25:24,240 --> 00:25:26,960 Speaker 1: That's what I'm trying to tell you. And other people 419 00:25:27,000 --> 00:25:28,639 Speaker 1: aren't going to tell you that. Now, they're gonna say, oh, 420 00:25:28,680 --> 00:25:30,520 Speaker 1: the kracking is just waiting on the sign the No, 421 00:25:30,680 --> 00:25:35,760 Speaker 1: it's not, it's not. I'm every bit as frustrated as 422 00:25:35,760 --> 00:25:37,680 Speaker 1: you are. I think the four years of a Trump 423 00:25:37,720 --> 00:25:41,320 Speaker 1: presidency was gonna be four more years, was going to 424 00:25:41,400 --> 00:25:43,480 Speaker 1: be fantastic for us. We're gonna have a great twenty 425 00:25:43,520 --> 00:25:48,760 Speaker 1: twenty one booming economy. Maybe maybe we still get it, 426 00:25:48,800 --> 00:25:54,600 Speaker 1: but it's not looking good, not looking good at all now. 427 00:25:54,920 --> 00:25:58,200 Speaker 1: A G. Barr resigned. Uh, this is the last thing 428 00:25:58,200 --> 00:26:00,080 Speaker 1: that the President said about him. I think should be 429 00:26:00,160 --> 00:26:01,840 Speaker 1: remembered here because there are a lot of people that 430 00:26:01,880 --> 00:26:05,040 Speaker 1: are trashing the attorney general, and I think there are 431 00:26:05,040 --> 00:26:07,200 Speaker 1: people who worked in the Trump administration at a very 432 00:26:07,240 --> 00:26:12,879 Speaker 1: senior level. I think there are people who were completely incompetent, 433 00:26:12,960 --> 00:26:16,280 Speaker 1: bad at their jobs and deserve to be fired. I 434 00:26:16,280 --> 00:26:18,760 Speaker 1: think James Comey obviously deserved to be fired and sent 435 00:26:18,800 --> 00:26:23,240 Speaker 1: to prison. But here's what Donald Trump wrote yesterday about 436 00:26:23,280 --> 00:26:25,159 Speaker 1: the attorney general. Just had a very nice meeting with 437 00:26:25,160 --> 00:26:28,000 Speaker 1: Attorney General Bill Barr at the White House. Our relationship 438 00:26:28,080 --> 00:26:30,520 Speaker 1: has been a very good one. He's done an outstanding job. 439 00:26:30,960 --> 00:26:33,240 Speaker 1: As per letter, Bill will be leaving just before Christmas 440 00:26:33,280 --> 00:26:36,199 Speaker 1: to spend the holidays with his family. So there's the 441 00:26:36,200 --> 00:26:38,640 Speaker 1: President saying, look, I like this guy, and he's stepping down, 442 00:26:38,640 --> 00:26:41,560 Speaker 1: and that's fine. So let's not you know, he's not 443 00:26:41,680 --> 00:26:44,720 Speaker 1: some deep state stude. He's not the enemy of the 444 00:26:44,720 --> 00:26:47,600 Speaker 1: people or any of this stuff. He probably just realized 445 00:26:47,640 --> 00:26:52,080 Speaker 1: he's in an unwinnable situation. He's just gonna get blamed 446 00:26:52,119 --> 00:26:55,280 Speaker 1: for things by people who understand that there was fraud 447 00:26:55,280 --> 00:26:57,520 Speaker 1: in this election. But he has not. You know, the 448 00:26:57,520 --> 00:26:59,919 Speaker 1: Attorney General has not been able to find enough of it, 449 00:27:00,840 --> 00:27:02,600 Speaker 1: nor have they been able to present evidence at a 450 00:27:02,600 --> 00:27:05,120 Speaker 1: federal court of it to change the result. So he's 451 00:27:05,119 --> 00:27:08,400 Speaker 1: in a losing position and he doesn't and he just figures, okay, look, 452 00:27:08,480 --> 00:27:13,440 Speaker 1: have someone else do this. I get it. It's a thankless, 453 00:27:13,440 --> 00:27:16,560 Speaker 1: a thankless role right now. And I just want to 454 00:27:16,560 --> 00:27:19,000 Speaker 1: every gonna be very clear. The President sent him. This 455 00:27:19,080 --> 00:27:22,640 Speaker 1: is like being you know, honorably discharged. President said nice 456 00:27:22,640 --> 00:27:24,200 Speaker 1: things about him on the way out. The president doesn't 457 00:27:24,200 --> 00:27:28,080 Speaker 1: always do that, as you know. So this is the 458 00:27:28,119 --> 00:27:30,240 Speaker 1: Attorney General saying, all right, I've done what I can. 459 00:27:30,400 --> 00:27:32,439 Speaker 1: Maybe there's somebody better who can step up and do this. 460 00:27:32,760 --> 00:27:34,880 Speaker 1: I'm gonna go home with my family for Christmas. That's 461 00:27:34,880 --> 00:27:37,159 Speaker 1: all it is. And I think the Attorney General did 462 00:27:37,160 --> 00:27:39,320 Speaker 1: a solid job. You freed, of course, disagree with me 463 00:27:39,359 --> 00:27:41,240 Speaker 1: on that, but I think that overall the Attorney General 464 00:27:41,680 --> 00:27:44,040 Speaker 1: was an ethical guy. And for those of you who 465 00:27:44,080 --> 00:27:45,359 Speaker 1: were going to really get mad at me, let me 466 00:27:45,400 --> 00:27:49,600 Speaker 1: just say Bill Barr was considered a stooge and a 467 00:27:49,680 --> 00:27:53,120 Speaker 1: hatchet man by the media of Trump until five minutes ago. 468 00:27:54,000 --> 00:27:58,480 Speaker 1: So something happened here and It's not that the Attorney 469 00:27:58,520 --> 00:28:02,440 Speaker 1: General all of a sudden became some deep state operative, right, 470 00:28:02,480 --> 00:28:05,879 Speaker 1: That's not what happened. What happened is we've got a 471 00:28:05,960 --> 00:28:09,480 Speaker 1: very frustrating election result and there's a lot of blame 472 00:28:09,560 --> 00:28:12,200 Speaker 1: going around right now, and including the people that don't 473 00:28:12,240 --> 00:28:17,439 Speaker 1: deserve it. You're in the freedom Hud. This is the 474 00:28:17,520 --> 00:28:24,000 Speaker 1: Buck Sexton Show podcast. Let me ask you, Governor. There 475 00:28:24,040 --> 00:28:26,840 Speaker 1: was an allegation made over the weekend on Twitter by 476 00:28:26,840 --> 00:28:30,439 Speaker 1: a former aid of yours who said that accused you 477 00:28:30,480 --> 00:28:33,080 Speaker 1: of sexual harassments that had happened over a period of years. 478 00:28:33,200 --> 00:28:35,760 Speaker 1: I wanted to get your reaction to that. Yeah, I 479 00:28:35,920 --> 00:28:42,760 Speaker 1: heard about the tweet and what it said about comments 480 00:28:43,640 --> 00:28:50,120 Speaker 1: that I had made, and it's not true, Zach. Look, 481 00:28:50,160 --> 00:28:54,320 Speaker 1: I fought for and I believe a woman has the 482 00:28:54,400 --> 00:28:59,080 Speaker 1: right to come forward and express her opinion and express 483 00:28:59,160 --> 00:29:04,160 Speaker 1: issues and concerns that she has. But it's it's just 484 00:29:04,280 --> 00:29:07,000 Speaker 1: not true. So he's connor a liar? Can we can 485 00:29:07,080 --> 00:29:09,240 Speaker 1: we just all agree that that's what he is saying, 486 00:29:09,240 --> 00:29:13,160 Speaker 1: that she is a liar. And I would just prefer 487 00:29:13,240 --> 00:29:15,960 Speaker 1: it if he would come out and say that instead 488 00:29:16,280 --> 00:29:19,440 Speaker 1: of playing this game where you have him say I 489 00:29:20,920 --> 00:29:24,680 Speaker 1: fought for a right to come forward and you know, 490 00:29:25,160 --> 00:29:28,760 Speaker 1: to say to things. But turns out that she's a 491 00:29:28,760 --> 00:29:32,320 Speaker 1: big liar. Look, I don't think she's lying at all. 492 00:29:32,520 --> 00:29:35,360 Speaker 1: And it's I know that you could say to me, oh, 493 00:29:35,440 --> 00:29:37,360 Speaker 1: but Buck, that's because he's a Democrat and you don't 494 00:29:37,360 --> 00:29:38,920 Speaker 1: like him, and you think that he's, you know, King 495 00:29:38,960 --> 00:29:41,080 Speaker 1: Cuomo and a maniac. I don't like him, and I 496 00:29:41,080 --> 00:29:43,120 Speaker 1: do think he's a maniac. And it's terrifying that he 497 00:29:43,200 --> 00:29:47,880 Speaker 1: might be a an attorney general under a bid administration 498 00:29:47,920 --> 00:29:51,280 Speaker 1: that's already been talked about. That I find that deeply concerning. 499 00:29:51,600 --> 00:29:54,160 Speaker 1: But I also am willing to give you my honest 500 00:29:54,160 --> 00:29:57,240 Speaker 1: assessment of these things. I don't always think that these allegations, 501 00:29:57,280 --> 00:29:59,800 Speaker 1: even though against Democrats are true, they do tend to 502 00:29:59,800 --> 00:30:03,320 Speaker 1: be true more often against high profile Democrats than they 503 00:30:03,320 --> 00:30:06,920 Speaker 1: are against high profile Republicans. I'm gonna say that there 504 00:30:07,040 --> 00:30:09,560 Speaker 1: you have noticed this, But it's not a it's not 505 00:30:09,600 --> 00:30:13,800 Speaker 1: an absolute. But Cuomo is a jerk. And Cuomo is 506 00:30:13,840 --> 00:30:16,880 Speaker 1: a guy who you can just tell. You can tell 507 00:30:16,880 --> 00:30:18,640 Speaker 1: that he thinks that he can get away with stuff. 508 00:30:19,080 --> 00:30:21,520 Speaker 1: He's known as a bully, he's known as being vindictive, 509 00:30:21,760 --> 00:30:24,880 Speaker 1: he's not a nice guy. So you know when they 510 00:30:24,880 --> 00:30:29,960 Speaker 1: accused Kavanaugh, who is like, you know, Ned Flanders went 511 00:30:30,040 --> 00:30:32,280 Speaker 1: to Harvard Law School or something or Yale Law School, 512 00:30:32,280 --> 00:30:35,200 Speaker 1: I forget which one. And it's like this legal legal 513 00:30:35,240 --> 00:30:39,720 Speaker 1: supermind who is coaching you know, girls basketball on the weekend. 514 00:30:39,720 --> 00:30:42,479 Speaker 1: Everybody loves him. They accuse him of being a serial 515 00:30:42,520 --> 00:30:48,200 Speaker 1: gang rapist. One of the ugliest, most underhanded and disgraceful 516 00:30:48,800 --> 00:30:53,400 Speaker 1: episodes in American politics in my lifetime. And no intelligent 517 00:30:53,480 --> 00:30:55,840 Speaker 1: person could really believe that those things were true, but 518 00:30:55,960 --> 00:30:58,320 Speaker 1: they wanted to believe it because they wanted to stop 519 00:30:58,440 --> 00:31:00,560 Speaker 1: him from being on the Supreme Court. What we're seeing 520 00:31:00,600 --> 00:31:04,680 Speaker 1: the Supreme Court even when you put constitutionalists on the left. 521 00:31:04,760 --> 00:31:06,640 Speaker 1: And I'm gonna say this, and it's annoying, but you 522 00:31:06,680 --> 00:31:08,800 Speaker 1: gotta know the truth. When the left gets one of 523 00:31:08,840 --> 00:31:12,600 Speaker 1: their judges on, they've got somebody who plays for their team. 524 00:31:13,480 --> 00:31:15,920 Speaker 1: When the right gets one of their judges on, they've 525 00:31:15,960 --> 00:31:20,320 Speaker 1: got somebody who adheres to the Constitution. You can see 526 00:31:20,360 --> 00:31:25,000 Speaker 1: this the left, the left does not disappoint their side. 527 00:31:25,440 --> 00:31:28,560 Speaker 1: They get what they want. That's what an activist judge means, 528 00:31:28,600 --> 00:31:31,760 Speaker 1: that's their mandate. Give us what we want right create 529 00:31:31,800 --> 00:31:34,920 Speaker 1: a living constitution model where you just decide that you 530 00:31:34,960 --> 00:31:37,800 Speaker 1: think this is better and the progressive should get their way. 531 00:31:38,240 --> 00:31:41,880 Speaker 1: For the on the right, constitutionalist judges, they say, look, 532 00:31:41,920 --> 00:31:44,120 Speaker 1: I don't like this policy, or I don't think this 533 00:31:44,240 --> 00:31:47,040 Speaker 1: is a good idea, but it is constitutional, so I 534 00:31:47,080 --> 00:31:49,880 Speaker 1: can't do anything about it. You just think of all 535 00:31:50,000 --> 00:31:53,720 Speaker 1: think of big cases. That's what keeps happening. But bring 536 00:31:54,000 --> 00:31:57,440 Speaker 1: it back to Cuomo. So they'll say that boy scout 537 00:31:57,520 --> 00:32:00,720 Speaker 1: Cavanaugh is a bad guy and he's a rapist and 538 00:32:00,760 --> 00:32:02,680 Speaker 1: all this stuff, and it's just absurd, and I'm never 539 00:32:02,800 --> 00:32:08,360 Speaker 1: letting that go. That, in some ways was almost as radicalizing, 540 00:32:08,440 --> 00:32:11,080 Speaker 1: and perhaps it was as radicalizing a moment for many 541 00:32:11,080 --> 00:32:15,920 Speaker 1: conservatives as the Russia collusion lies about Trump, because it 542 00:32:16,000 --> 00:32:22,479 Speaker 1: was so obviously false and so vicious, and I'm never 543 00:32:22,520 --> 00:32:25,440 Speaker 1: gonna forget it, never gonna forgive it either. But then 544 00:32:25,480 --> 00:32:28,080 Speaker 1: you have Cuomo. Here's a guy who is a jerk 545 00:32:29,200 --> 00:32:32,760 Speaker 1: and everyone knows it, and he's powermad and I believe 546 00:32:32,800 --> 00:32:35,400 Speaker 1: there was actually a domestic disturbance at his house once 547 00:32:35,440 --> 00:32:37,160 Speaker 1: when he was married, and the police showed up, and 548 00:32:37,160 --> 00:32:39,360 Speaker 1: that everyone had to pretend it didn't happen. He shut 549 00:32:39,400 --> 00:32:42,120 Speaker 1: down the Morelin Commission in a corruption of him just 550 00:32:42,360 --> 00:32:45,360 Speaker 1: essentially by intimidating and you know, scaring everybody. Is a 551 00:32:45,480 --> 00:32:54,080 Speaker 1: bad guy. He's just a bad guy. And now he's 552 00:32:54,120 --> 00:32:57,640 Speaker 1: being accused of things that Remember, she didn't go overboard. 553 00:32:57,680 --> 00:32:59,760 Speaker 1: She wasn't saying, oh, you know, he drugged me and 554 00:32:59,800 --> 00:33:01,400 Speaker 1: all this other stuff. I mean, I mean, not that 555 00:33:01,480 --> 00:33:03,240 Speaker 1: couldn't happen, but that would be a bit of that 556 00:33:03,240 --> 00:33:06,040 Speaker 1: would be a pretty extreme allegation. She says that he said, 557 00:33:07,000 --> 00:33:10,160 Speaker 1: you know, sexist comments and talk about my appearance. And 558 00:33:10,320 --> 00:33:12,000 Speaker 1: you know, if you look at the woman in question, 559 00:33:13,120 --> 00:33:16,000 Speaker 1: I'm I find it very credible that Cuomo would comment 560 00:33:16,040 --> 00:33:18,280 Speaker 1: on her appearance. I don't think that that's a stretch 561 00:33:18,280 --> 00:33:21,760 Speaker 1: at all. And I'm just bringing this up because get 562 00:33:21,920 --> 00:33:25,640 Speaker 1: ready to kind of stay with our prepare for the 563 00:33:25,680 --> 00:33:32,000 Speaker 1: battle ahead mentality today. Get ready for the double standards 564 00:33:32,040 --> 00:33:35,200 Speaker 1: that we saw in the first four years of Trump. 565 00:33:35,600 --> 00:33:41,080 Speaker 1: Going forward under a bind administration will be just mind blowing. 566 00:33:42,080 --> 00:33:44,960 Speaker 1: They won't have any standards, accept double standards. They will 567 00:33:45,040 --> 00:33:48,360 Speaker 1: just everything that they've said in the past, whether it's 568 00:33:48,360 --> 00:33:51,760 Speaker 1: about the grounds for impeachment, whether it's about the Me 569 00:33:51,880 --> 00:33:54,520 Speaker 1: Too movement. Women have a right, women have a right 570 00:33:54,560 --> 00:33:59,200 Speaker 1: to be believed, was the That was the line, That 571 00:33:59,440 --> 00:34:03,600 Speaker 1: was the claim that was made whenever, whether it was 572 00:34:03,680 --> 00:34:07,400 Speaker 1: Trump or Kavanaugh, any Republican was accused of anything. And 573 00:34:07,440 --> 00:34:13,040 Speaker 1: there were some people like Cosby and Weinstein who weren't 574 00:34:13,040 --> 00:34:17,160 Speaker 1: politicians but were I guess democrats. Winestein's clearly a Democrat 575 00:34:17,880 --> 00:34:21,000 Speaker 1: who were guilty. And so yeah, those women did have 576 00:34:21,000 --> 00:34:22,760 Speaker 1: a right to believed because they were telling the truth. 577 00:34:23,680 --> 00:34:26,879 Speaker 1: But now all of a sudden, when it's Cuomo, they're 578 00:34:26,880 --> 00:34:29,759 Speaker 1: gonna they're gonna avoid talking about this story and they're 579 00:34:29,800 --> 00:34:31,799 Speaker 1: gonna take his word for it and they'll let him 580 00:34:31,800 --> 00:34:33,839 Speaker 1: get away with the formulation that he gave you there 581 00:34:34,239 --> 00:34:36,239 Speaker 1: where he's just saying, oh, yes, she has a right 582 00:34:36,280 --> 00:34:40,120 Speaker 1: to come forward. What does that mean? We were told 583 00:34:40,120 --> 00:34:42,280 Speaker 1: that she has a right to be believed. Hillary Clinton 584 00:34:42,360 --> 00:34:44,480 Speaker 1: said about women coming forward with allegations, they have a 585 00:34:44,560 --> 00:34:48,520 Speaker 1: right to be believed. And now when there's a Democrat, 586 00:34:48,560 --> 00:34:50,880 Speaker 1: he's in trouble. All of a sudden, now we have 587 00:34:51,040 --> 00:34:52,880 Speaker 1: a Oh, I don't know, I don't know if we 588 00:34:52,920 --> 00:34:55,600 Speaker 1: can really take that seriously anymore. That's standard that we 589 00:34:55,600 --> 00:35:01,640 Speaker 1: were using to try to eviscerate republic lookings. Maybe we 590 00:35:01,719 --> 00:35:04,400 Speaker 1: need to be a little more thoughtful about how we 591 00:35:04,480 --> 00:35:06,239 Speaker 1: do this, Maybe we need to be a little more 592 00:35:08,440 --> 00:35:11,800 Speaker 1: evidentiary in the way that we approached these things. And 593 00:35:12,120 --> 00:35:19,000 Speaker 1: I sit here saying, wow, no, no, no, dub no surprise, huh, 594 00:35:19,320 --> 00:35:21,600 Speaker 1: And Cuomo is going to get away with this. There 595 00:35:21,640 --> 00:35:25,600 Speaker 1: will be no consequences from whatsoever Democrat voters in New 596 00:35:25,680 --> 00:35:28,000 Speaker 1: York State where I am, at least for now, I 597 00:35:28,320 --> 00:35:29,960 Speaker 1: don't know what it's going to take them to realize 598 00:35:29,960 --> 00:35:33,320 Speaker 1: this guy's a nightmare. I don't know. I mean, you'd 599 00:35:33,360 --> 00:35:35,160 Speaker 1: think that at this point they would have figured it out, 600 00:35:35,160 --> 00:35:38,279 Speaker 1: and they want anybody but him. The media loves this guy. 601 00:35:38,960 --> 00:35:41,240 Speaker 1: They love him so he can get away with anything. 602 00:35:41,520 --> 00:35:43,960 Speaker 1: And he's about to get away with these sexual sexual 603 00:35:43,960 --> 00:35:47,440 Speaker 1: harassment allegations, that's for sure. Thanks for listening to The 604 00:35:47,560 --> 00:35:51,600 Speaker 1: Bus Sesson Show podcast. Remember to subscribe on Apple podcast, 605 00:35:51,800 --> 00:35:55,040 Speaker 1: the iHeart Radio app, or wherever you get your podcasts. 606 00:35:56,600 --> 00:35:59,560 Speaker 1: What are we really seeing when it comes to the 607 00:35:59,600 --> 00:36:02,400 Speaker 1: result of these lockdowns and what has the data told 608 00:36:02,480 --> 00:36:06,439 Speaker 1: us so far about so many of these expert predictions 609 00:36:06,520 --> 00:36:08,840 Speaker 1: When it comes to COVID nineteen and how we're supposed 610 00:36:08,840 --> 00:36:11,920 Speaker 1: to handle it. We're joined out by Phil Kirpin. He's 611 00:36:11,960 --> 00:36:18,040 Speaker 1: a syndicated columnist and also the president of American Commitment. Phil, 612 00:36:18,080 --> 00:36:19,960 Speaker 1: thanks for making the time great to be with you. 613 00:36:20,000 --> 00:36:23,680 Speaker 1: By Let's talk about schools first. What does the data 614 00:36:23,800 --> 00:36:28,880 Speaker 1: tell us about school lockdowns at this stage, or I 615 00:36:28,880 --> 00:36:31,360 Speaker 1: should just say school closures, it's not even really lockdowns. 616 00:36:31,360 --> 00:36:37,120 Speaker 1: Closing schools and doing only virtual learning probably the single 617 00:36:37,160 --> 00:36:40,719 Speaker 1: biggest policy mistake of the entire year, which is hang 618 00:36:40,760 --> 00:36:42,680 Speaker 1: a lot, because we've had a lot of policy mistakes. 619 00:36:43,280 --> 00:36:47,040 Speaker 1: It's interesting the original CDC guidance on schools was really balanced, 620 00:36:47,040 --> 00:36:49,080 Speaker 1: and I think anyone who actually read it and paid 621 00:36:49,080 --> 00:36:51,839 Speaker 1: attention would not have closed schools. And yet we had 622 00:36:51,880 --> 00:36:54,560 Speaker 1: sort of this panic contagion that swept the whole country 623 00:36:54,560 --> 00:36:56,120 Speaker 1: and all the schools were closed, and a lot of 624 00:36:56,120 --> 00:37:00,200 Speaker 1: them never reopened or opened on very limited part time schedule. 625 00:37:00,719 --> 00:37:02,920 Speaker 1: And it's interesting. There was a study in the Journal 626 00:37:02,920 --> 00:37:05,279 Speaker 1: of the American Medical Association a couple of weeks ago. 627 00:37:05,320 --> 00:37:08,520 Speaker 1: They looked at just the impact of elementary school closures 628 00:37:08,520 --> 00:37:11,000 Speaker 1: and just for two months in the spring, and they 629 00:37:11,040 --> 00:37:16,200 Speaker 1: calculated five million years of life lost from two months 630 00:37:16,239 --> 00:37:18,840 Speaker 1: of elementary school closures, which is probably more years of 631 00:37:18,880 --> 00:37:21,520 Speaker 1: life lost than we're going to have from the coronavirus. 632 00:37:22,560 --> 00:37:26,839 Speaker 1: There's a very strong relationship between educational attainment and not 633 00:37:26,880 --> 00:37:30,800 Speaker 1: just income, but life expectancy as well. The difference between 634 00:37:30,800 --> 00:37:33,120 Speaker 1: a high school graduate and a high school dropout, on 635 00:37:33,239 --> 00:37:37,759 Speaker 1: average is about five years of life expectancy. The online 636 00:37:37,920 --> 00:37:40,040 Speaker 1: learning is not working for a lot of people. For 637 00:37:40,120 --> 00:37:43,080 Speaker 1: some kids, it's fine, some of them are doing okay, 638 00:37:43,080 --> 00:37:45,000 Speaker 1: but a lot of kids are failing. A lot more 639 00:37:45,080 --> 00:37:49,520 Speaker 1: kids than ever failed with traditional school, and that has 640 00:37:49,680 --> 00:37:54,400 Speaker 1: major long term consequences, both economic and health consequences, And 641 00:37:54,480 --> 00:37:58,920 Speaker 1: so we're essentially imposing enormous harms and enormous enormous costs 642 00:37:59,440 --> 00:38:04,840 Speaker 1: on children societally, even though children are atists near zero risks, 643 00:38:04,880 --> 00:38:08,120 Speaker 1: certainly much lower risk with coronavirus than they are from 644 00:38:08,160 --> 00:38:11,200 Speaker 1: seasonal flu, which is five to ten times more deadly 645 00:38:11,239 --> 00:38:14,520 Speaker 1: for children than coronavirus, and that we tolerate and that 646 00:38:14,600 --> 00:38:17,560 Speaker 1: we think is a perfectly acceptable little level of risk. 647 00:38:17,640 --> 00:38:21,040 Speaker 1: And so children have really been the biggest losers in 648 00:38:21,080 --> 00:38:25,440 Speaker 1: our policy response to COVID. It feels increasingly feel like 649 00:38:25,719 --> 00:38:30,160 Speaker 1: the elimination of any tolerable risk when it comes to 650 00:38:30,200 --> 00:38:33,239 Speaker 1: COVID has been at the center of a lot of 651 00:38:33,280 --> 00:38:37,439 Speaker 1: the policies that we see, and restaurants in New York 652 00:38:37,440 --> 00:38:40,680 Speaker 1: City have just been closed as of this week. Contact 653 00:38:40,800 --> 00:38:44,080 Speaker 1: racing shown that they were responsible for they believe, about 654 00:38:44,160 --> 00:38:48,239 Speaker 1: one percent of the spread. So what are what have 655 00:38:48,360 --> 00:38:52,160 Speaker 1: we learned about? Where is the virus spreading in New 656 00:38:52,239 --> 00:38:54,640 Speaker 1: York and it's and its environs, because that's a that's 657 00:38:54,680 --> 00:38:56,600 Speaker 1: also a good proxy for where it would be spreading 658 00:38:56,600 --> 00:39:00,040 Speaker 1: in other densely populated parts of the country. Well, the 659 00:39:00,560 --> 00:39:02,799 Speaker 1: data the New York published, and it's interesting because they 660 00:39:02,880 --> 00:39:06,160 Speaker 1: published very very similar data back in May and then 661 00:39:06,200 --> 00:39:08,480 Speaker 1: ignored it, and now they're finding the same thing again, 662 00:39:08,520 --> 00:39:11,880 Speaker 1: which is almost all of the spread is inside of homes, 663 00:39:11,920 --> 00:39:14,840 Speaker 1: inside of households. And you know, New York of course 664 00:39:15,320 --> 00:39:17,800 Speaker 1: has a lot of high density residential, a lot of 665 00:39:17,920 --> 00:39:21,640 Speaker 1: multi family, you know, apartment buildings, and so you know, 666 00:39:21,800 --> 00:39:24,480 Speaker 1: maybe a little bit different there and some other places, 667 00:39:24,480 --> 00:39:26,959 Speaker 1: but by and large, I think it's now pretty clear 668 00:39:26,960 --> 00:39:29,240 Speaker 1: from the contact tracing we've seen all over the country 669 00:39:29,440 --> 00:39:32,440 Speaker 1: that there's not a lot of spread in places like 670 00:39:32,560 --> 00:39:35,719 Speaker 1: restaurants and retail and so that the spread tends to 671 00:39:35,760 --> 00:39:38,520 Speaker 1: happen sort of the one to one person to person 672 00:39:38,640 --> 00:39:41,719 Speaker 1: spread tends to happen inside of homes. Now we also 673 00:39:41,719 --> 00:39:44,800 Speaker 1: have this other problem of these occasional sort of super 674 00:39:44,840 --> 00:39:47,080 Speaker 1: spread or events which are hard to predict, and we 675 00:39:47,080 --> 00:39:51,200 Speaker 1: still don't really know why some small percentage of people 676 00:39:51,200 --> 00:39:53,759 Speaker 1: with this virus and it's only maybe ten percent something 677 00:39:53,800 --> 00:39:56,759 Speaker 1: like that seemed to be responsible for, you know, a 678 00:39:56,800 --> 00:39:58,560 Speaker 1: lot of the spread. And so you know, if you've 679 00:39:58,560 --> 00:40:01,880 Speaker 1: got on the average person gets this virus, infects zero 680 00:40:02,080 --> 00:40:04,439 Speaker 1: or one other people, and then but then you've got 681 00:40:04,480 --> 00:40:06,719 Speaker 1: this small group that affects tons of people, and you know, 682 00:40:06,760 --> 00:40:09,719 Speaker 1: we still don't really know what makes them different and 683 00:40:09,880 --> 00:40:12,360 Speaker 1: why they tend to infect lots of people. And I 684 00:40:12,360 --> 00:40:15,640 Speaker 1: wish with more research we're going into that because that 685 00:40:15,680 --> 00:40:18,160 Speaker 1: would be very useful to sort of identify and be 686 00:40:18,239 --> 00:40:22,000 Speaker 1: able to predict what those characteristics are. But by and large, 687 00:40:22,600 --> 00:40:23,840 Speaker 1: what we saw in the New York did, and it 688 00:40:23,880 --> 00:40:26,160 Speaker 1: was remarkable because Governor Cuomo came out and he said, look, 689 00:40:26,320 --> 00:40:29,400 Speaker 1: here's the data. Seventy five percent of transmission is in homes, 690 00:40:29,440 --> 00:40:33,200 Speaker 1: one percent is in restaurants. So I'm closing restaurants and 691 00:40:33,760 --> 00:40:35,319 Speaker 1: you know, then he said, well, you know, because it's 692 00:40:35,360 --> 00:40:37,399 Speaker 1: something we can do. You know, we can't close homes, 693 00:40:37,400 --> 00:40:39,880 Speaker 1: we can close restaurants. But of course, just because you 694 00:40:39,960 --> 00:40:42,880 Speaker 1: can do something doesn't mean that it's actually you know, 695 00:40:43,080 --> 00:40:44,960 Speaker 1: he said, you know, it's only a small difference, but 696 00:40:45,040 --> 00:40:47,080 Speaker 1: it's something we can do. You know, but if you 697 00:40:47,120 --> 00:40:49,440 Speaker 1: look at the data, but it's more likely to be 698 00:40:49,520 --> 00:40:53,319 Speaker 1: a negative difference than a positive difference, because if you say, 699 00:40:53,560 --> 00:40:57,080 Speaker 1: you know, we're going to push gatherings and holiday gatherings 700 00:40:57,080 --> 00:40:58,799 Speaker 1: and dinners and all this kind of stuff out of 701 00:40:58,840 --> 00:41:01,839 Speaker 1: restaurants where people are being very strict with their distancing 702 00:41:01,880 --> 00:41:04,399 Speaker 1: and their hygiene and all this stuff, we're gonna push 703 00:41:04,400 --> 00:41:06,719 Speaker 1: them out. We're gonna close. Now, they're gonna take place 704 00:41:06,719 --> 00:41:08,759 Speaker 1: in homes instead. You know, some of them won't take 705 00:41:08,800 --> 00:41:10,640 Speaker 1: place at all, but a lot of them will take 706 00:41:10,680 --> 00:41:13,839 Speaker 1: place in homes instead without any of those precautions. And 707 00:41:13,880 --> 00:41:17,080 Speaker 1: so in my judgment, the restaurant closure is not only 708 00:41:17,120 --> 00:41:21,319 Speaker 1: economically devastating, but it's more likely to increase transmission than 709 00:41:21,360 --> 00:41:23,560 Speaker 1: to decrease it because people are going to meet in 710 00:41:23,880 --> 00:41:26,720 Speaker 1: home settings instead. Well, this was a concern also last 711 00:41:26,760 --> 00:41:30,480 Speaker 1: winter or late late in the winter, when we recognize 712 00:41:30,520 --> 00:41:33,239 Speaker 1: that New York City was facing this first big wave 713 00:41:33,280 --> 00:41:37,920 Speaker 1: of COVID cases. They went into the fifteen days to 714 00:41:37,960 --> 00:41:40,319 Speaker 1: stop the spread and the stay at home orders, and 715 00:41:40,360 --> 00:41:42,120 Speaker 1: a lot of people are saying, well, hold on a second, 716 00:41:42,400 --> 00:41:45,520 Speaker 1: We've had this virus is all over the place already, 717 00:41:45,960 --> 00:41:47,760 Speaker 1: and now what you're going to be doing by shutting 718 00:41:47,760 --> 00:41:50,240 Speaker 1: down the schools, shutting down anywhere for people to places 719 00:41:50,280 --> 00:41:54,000 Speaker 1: for people to go, is you might actually be forcing 720 00:41:54,040 --> 00:41:58,480 Speaker 1: And you mentioned multigenerational, multi family homes, dense housing, which 721 00:41:58,560 --> 00:42:00,600 Speaker 1: is all over New York City where people it's very 722 00:42:00,600 --> 00:42:04,080 Speaker 1: difficult to really stay far away from others. It may 723 00:42:04,080 --> 00:42:07,560 Speaker 1: have effectively sent everyone home to infect their family members inadvertently. 724 00:42:07,560 --> 00:42:11,000 Speaker 1: But that was always a concern. Yeah, I think that 725 00:42:11,000 --> 00:42:13,280 Speaker 1: that almost certainly was a big part of what happened 726 00:42:13,280 --> 00:42:15,319 Speaker 1: in New York back in the spring. Now, the good 727 00:42:15,360 --> 00:42:18,160 Speaker 1: thing you've got going for you now in New York is, 728 00:42:18,760 --> 00:42:20,840 Speaker 1: you know, so many people have already had it. You 729 00:42:20,840 --> 00:42:23,600 Speaker 1: have a very high level of community immunity, probably higher 730 00:42:23,600 --> 00:42:25,960 Speaker 1: than anywhere else in the United States. And so you know, 731 00:42:25,960 --> 00:42:28,239 Speaker 1: if you look at the New York state numbers, it's 732 00:42:28,280 --> 00:42:30,640 Speaker 1: now mostly outside of the New York City area, it's 733 00:42:30,640 --> 00:42:32,040 Speaker 1: sort of the rest of the state is kind of 734 00:42:32,080 --> 00:42:35,759 Speaker 1: catching up new York City. If you look at the 735 00:42:35,800 --> 00:42:39,800 Speaker 1: hospital utilization in the emergency room data, you've actually got 736 00:42:40,400 --> 00:42:44,360 Speaker 1: lower emergency room visits for respiratory illnesses and influenza like 737 00:42:44,440 --> 00:42:48,000 Speaker 1: illness now than you know, any of the previous five 738 00:42:48,080 --> 00:42:50,759 Speaker 1: years this time of year. So you're actually lower than 739 00:42:50,840 --> 00:42:54,319 Speaker 1: normal in New York City, I think because you've got 740 00:42:54,320 --> 00:42:56,920 Speaker 1: a lot of community immunity to COVID, and because the 741 00:42:56,920 --> 00:42:59,400 Speaker 1: other factor, which is happening everywhere in the world right 742 00:42:59,440 --> 00:43:03,600 Speaker 1: now with very little attention paid to it. There's almost 743 00:43:03,600 --> 00:43:06,000 Speaker 1: no flu activity this year. And we don't know if 744 00:43:06,040 --> 00:43:09,239 Speaker 1: that's because the you know, the policy measures like the 745 00:43:09,280 --> 00:43:12,359 Speaker 1: masks and the distancing and school closures are somehow more 746 00:43:12,360 --> 00:43:14,920 Speaker 1: effective for flu than they are for COVID, or if 747 00:43:14,920 --> 00:43:17,880 Speaker 1: the virus itself has somehow disrupted. We don't really know 748 00:43:17,960 --> 00:43:21,000 Speaker 1: why it's the case, but it's a remarkable story because 749 00:43:21,120 --> 00:43:23,080 Speaker 1: remember the experts that we're gonna have this twindemic flu 750 00:43:23,200 --> 00:43:24,720 Speaker 1: is going to hit at the same time as COVID, 751 00:43:24,880 --> 00:43:28,120 Speaker 1: all the hospital's gonna be overwhelmed. Instead, we've got you know, 752 00:43:28,160 --> 00:43:31,520 Speaker 1: the mildest flu season since at least twenty fifteen, and maybe, 753 00:43:31,600 --> 00:43:33,440 Speaker 1: you know, we'll see if it doesn't take off at all, 754 00:43:33,520 --> 00:43:36,759 Speaker 1: maybe the mildest flu season on records. So you've got, 755 00:43:36,760 --> 00:43:40,520 Speaker 1: you know, really underutilization of hospitals in a place like 756 00:43:40,560 --> 00:43:43,439 Speaker 1: New York City that has relatively little COVID activity because 757 00:43:43,520 --> 00:43:46,600 Speaker 1: we're not seeing any fluid. I pulled some numbers last week. 758 00:43:46,640 --> 00:43:49,080 Speaker 1: I'm glad you brought that up. Phil. I'm speaking of 759 00:43:49,080 --> 00:43:54,360 Speaker 1: Phil Kirpin, syndicated columnist, journalist, and at Phil, I looked 760 00:43:54,360 --> 00:43:56,839 Speaker 1: at the initial Now, now I had someone right, I've 761 00:43:56,840 --> 00:43:59,680 Speaker 1: had people right into me since to say we're not 762 00:43:59,719 --> 00:44:03,000 Speaker 1: really testing for flu the way that we normally do. 763 00:44:03,080 --> 00:44:05,160 Speaker 1: And to that, I say, okay, because I am asking. 764 00:44:05,200 --> 00:44:06,880 Speaker 1: You know, so sometimes people are asking a question and 765 00:44:06,920 --> 00:44:09,600 Speaker 1: they're really trying to push a conclusion. I'm actually asking 766 00:44:09,600 --> 00:44:13,200 Speaker 1: the question, but I pose to the audience. I said, 767 00:44:13,920 --> 00:44:16,680 Speaker 1: you know, the initial data on the CDC website for 768 00:44:16,719 --> 00:44:19,920 Speaker 1: the first week of December, and and I think it 769 00:44:19,960 --> 00:44:21,920 Speaker 1: was it was low for what they actually had for COVID. 770 00:44:21,960 --> 00:44:23,920 Speaker 1: So this was initial data. So the numbers are clearly 771 00:44:23,960 --> 00:44:25,919 Speaker 1: going to go up. And you know, maybe it went 772 00:44:25,960 --> 00:44:28,160 Speaker 1: from you know, maybe I might even go up by 773 00:44:28,160 --> 00:44:29,880 Speaker 1: a factor of ten, let's say, right, I mean, it 774 00:44:29,880 --> 00:44:32,359 Speaker 1: could go up substantially. But the initial data said that 775 00:44:32,440 --> 00:44:37,480 Speaker 1: they had something like two thousand plus COVID deaths in 776 00:44:37,520 --> 00:44:40,360 Speaker 1: the first week of December that we're officially COVID, you know, 777 00:44:40,400 --> 00:44:44,919 Speaker 1: meaning that this is what they had three three from 778 00:44:44,960 --> 00:44:49,040 Speaker 1: the flu. Now, I could understand more COVID, I could 779 00:44:49,120 --> 00:44:52,399 Speaker 1: under but there's clearly something going on here. I mean, 780 00:44:52,440 --> 00:44:56,080 Speaker 1: you mentioned some of the possibilities. There's no way that 781 00:44:56,120 --> 00:44:59,400 Speaker 1: you have almost a factor of a thousand more COVID 782 00:44:59,480 --> 00:45:01,959 Speaker 1: deaths than you do flu debts, given what we would 783 00:45:01,960 --> 00:45:05,320 Speaker 1: see in a normal flu season. That's not possible. Well, 784 00:45:06,239 --> 00:45:10,400 Speaker 1: you know, flu peaks are more often in January February 785 00:45:10,520 --> 00:45:12,600 Speaker 1: than they are in November and December times sometimes you 786 00:45:12,600 --> 00:45:15,480 Speaker 1: have in earlier flu seasons. So you know a lot 787 00:45:15,520 --> 00:45:17,319 Speaker 1: of people say, well, you know, flu's not here yet, 788 00:45:17,320 --> 00:45:20,239 Speaker 1: it's still coming. That might be true, but we've never 789 00:45:20,280 --> 00:45:22,960 Speaker 1: seen levels this low. We've never seen levels this low, 790 00:45:23,000 --> 00:45:25,880 Speaker 1: and if you look at the CDC flu testing data, 791 00:45:26,200 --> 00:45:30,600 Speaker 1: it's down about ninety five ninety five to almost one 792 00:45:30,640 --> 00:45:32,640 Speaker 1: hundred percent some weeks, and we've had like ninety eight 793 00:45:32,680 --> 00:45:36,000 Speaker 1: percent reduction from the five year average. And it's not 794 00:45:36,040 --> 00:45:39,600 Speaker 1: that we're not testing. The flu tests are actually higher 795 00:45:39,680 --> 00:45:42,320 Speaker 1: than the five year average, and they they're actually at 796 00:45:42,320 --> 00:45:44,200 Speaker 1: a record high at the number of flu tests at 797 00:45:44,200 --> 00:45:47,560 Speaker 1: the CDC tracks, And the CDC only tracks clinical labs 798 00:45:47,560 --> 00:45:49,759 Speaker 1: and public health labs, so they don't track, you know, 799 00:45:49,840 --> 00:45:52,200 Speaker 1: like the rapid tests in the doctor's office. That's not 800 00:45:52,239 --> 00:45:54,040 Speaker 1: in the stats. So they only have thousands of tests, 801 00:45:54,040 --> 00:45:57,239 Speaker 1: they don't have millions of tests. But it's still it 802 00:45:57,320 --> 00:46:00,080 Speaker 1: indicates that I think one of three things is going 803 00:46:00,000 --> 00:46:05,319 Speaker 1: on buck. Either we've got the public health measures that 804 00:46:05,400 --> 00:46:08,120 Speaker 1: are being implemented for some reason, or very effective at 805 00:46:08,160 --> 00:46:10,200 Speaker 1: stopping flu, even though they don't seem to be. They're 806 00:46:10,200 --> 00:46:13,560 Speaker 1: not effective. It's stopping covid right right, So that's a 807 00:46:13,560 --> 00:46:15,160 Speaker 1: little hard to believe, although a lot of people have 808 00:46:15,200 --> 00:46:19,240 Speaker 1: been saying that or somehow the covid virus itself disrupts 809 00:46:19,280 --> 00:46:21,959 Speaker 1: the flu virus, which is possible. There's a phenomenon called 810 00:46:22,480 --> 00:46:25,359 Speaker 1: viral interference, and this was actually how swine flu ended 811 00:46:25,400 --> 00:46:27,799 Speaker 1: back in two thousand and nine. The rhinovirus came in 812 00:46:28,040 --> 00:46:29,640 Speaker 1: and it sort of just knocked it out. You know, 813 00:46:29,680 --> 00:46:32,520 Speaker 1: people got that instead and it sort of knocked it out, 814 00:46:32,520 --> 00:46:34,360 Speaker 1: and there was some hope. There was actually an article, 815 00:46:34,440 --> 00:46:36,839 Speaker 1: you know, months ago, hoping that flu season would come 816 00:46:36,880 --> 00:46:39,960 Speaker 1: in and sort of disrupt COVID. That definitely didn't happen, 817 00:46:40,000 --> 00:46:42,799 Speaker 1: but maybe the opposite happened. Maybe COVID disrupted flu, and 818 00:46:43,040 --> 00:46:45,840 Speaker 1: you know, once you get COVID, your mucus build up 819 00:46:45,880 --> 00:46:49,520 Speaker 1: blocks flu, or some mechanism causes viral interference. Or the 820 00:46:49,560 --> 00:46:51,880 Speaker 1: third possibility is that we've got some sort of a 821 00:46:51,960 --> 00:46:55,279 Speaker 1: data artifact where maybe you know, we're get so many 822 00:46:55,320 --> 00:46:57,919 Speaker 1: false positives for COVID that people get flu, they test 823 00:46:57,960 --> 00:47:02,000 Speaker 1: false positive, it goes into the stats AVID case instead 824 00:47:02,000 --> 00:47:05,560 Speaker 1: of a flu case. Maybe there's a timing issue where 825 00:47:05,600 --> 00:47:07,319 Speaker 1: even though we have lots of flu tests, people are 826 00:47:07,360 --> 00:47:10,080 Speaker 1: only taking the flu test after they get a negative 827 00:47:10,080 --> 00:47:13,160 Speaker 1: COVID test back, and by then flus not detectable anymore. 828 00:47:13,400 --> 00:47:15,680 Speaker 1: Some people have suggested that, so they're basically there are 829 00:47:15,719 --> 00:47:19,840 Speaker 1: three possibilities in my judgment, Either the policies are actually 830 00:47:19,880 --> 00:47:24,640 Speaker 1: stopping flu somehow there's actual viral interference, or we've got 831 00:47:24,640 --> 00:47:27,160 Speaker 1: some sort of a data artifact based on the sequence 832 00:47:27,160 --> 00:47:29,800 Speaker 1: and the way that we're doing the testing that's causing 833 00:47:29,800 --> 00:47:32,799 Speaker 1: the flu cases to be mischaracterized as COVID. So it's 834 00:47:32,800 --> 00:47:34,799 Speaker 1: got to be one of those three things. I'm not 835 00:47:34,880 --> 00:47:37,960 Speaker 1: sure which it is, or if it's a combination, but 836 00:47:38,360 --> 00:47:40,799 Speaker 1: I wish there were a lot more curiosity about this, 837 00:47:41,440 --> 00:47:44,360 Speaker 1: you know, among the media and among the public health officials, 838 00:47:44,360 --> 00:47:46,960 Speaker 1: because it's a pretty remarkable of phenomenon what we're seeing. 839 00:47:47,200 --> 00:47:49,040 Speaker 1: Talk to me about this, and we're speaking of Phil Kirpin. 840 00:47:49,560 --> 00:47:51,960 Speaker 1: He is the president of American Commitment, and he's a 841 00:47:52,000 --> 00:47:56,399 Speaker 1: syndicated columnists. I see all these charts, and I've looked 842 00:47:56,400 --> 00:47:59,160 Speaker 1: at some of the data myself, and they show mask 843 00:47:59,280 --> 00:48:03,719 Speaker 1: mandates going into place on a timeline. And you know, 844 00:48:04,000 --> 00:48:06,960 Speaker 1: for a state, right whether it's California or Hawaii or 845 00:48:06,960 --> 00:48:10,319 Speaker 1: New York or wherever mask mandate goes into effect, and 846 00:48:10,360 --> 00:48:13,360 Speaker 1: then you have countless charts where you just give it 847 00:48:13,440 --> 00:48:16,840 Speaker 1: time and the case is just skyrocket after the mandate 848 00:48:16,880 --> 00:48:19,840 Speaker 1: goes into effect. What can we just tell from the 849 00:48:19,960 --> 00:48:23,680 Speaker 1: numbers about this as a policy? Can can we draw 850 00:48:23,719 --> 00:48:27,200 Speaker 1: any conclusions or you can you draw any conclusions from 851 00:48:27,200 --> 00:48:30,920 Speaker 1: what we're seeing. I don't think masks have any effect. 852 00:48:31,600 --> 00:48:35,440 Speaker 1: Mask mandates you know, we should we should differentiate the 853 00:48:35,440 --> 00:48:39,080 Speaker 1: two masked mandates and masks are not necessarily synonymous because 854 00:48:39,360 --> 00:48:41,600 Speaker 1: just because the mandates in an area doesn't mean everyone's 855 00:48:41,680 --> 00:48:44,440 Speaker 1: wearing them, or wearing them properly, or handling them properly 856 00:48:44,480 --> 00:48:48,200 Speaker 1: and so forth. You know, the reason historically we've never 857 00:48:48,239 --> 00:48:52,000 Speaker 1: recommended masks outside of medical settings is it's actually really 858 00:48:52,040 --> 00:48:54,680 Speaker 1: hard to use a mask properly, to make sure you 859 00:48:54,760 --> 00:48:57,839 Speaker 1: never touch the outside, to remove it and carefully and 860 00:48:57,920 --> 00:49:00,520 Speaker 1: throw it out or wash it without ever touching the outside. 861 00:49:00,600 --> 00:49:02,920 Speaker 1: And you know, that's why we've never recommended them in 862 00:49:03,000 --> 00:49:05,680 Speaker 1: non medical settings, because even if they work sort of 863 00:49:05,719 --> 00:49:08,799 Speaker 1: conceptually in sort of a lab test, we never had 864 00:49:08,800 --> 00:49:11,399 Speaker 1: confidence that people would use them correctly in a way 865 00:49:11,440 --> 00:49:15,080 Speaker 1: that actually could be beneficial. And I think that based 866 00:49:15,080 --> 00:49:17,240 Speaker 1: on the data that I'm saying, you know, it's sort 867 00:49:17,239 --> 00:49:19,719 Speaker 1: of you could go either way on whether they work 868 00:49:19,719 --> 00:49:22,000 Speaker 1: in idealized setting. There is a lot of lab data 869 00:49:22,040 --> 00:49:24,120 Speaker 1: showing that they probably would be beneficial if they were 870 00:49:24,200 --> 00:49:28,040 Speaker 1: used sort of perfectly, but in practice, I don't see 871 00:49:28,040 --> 00:49:30,520 Speaker 1: any evidence that they've been beneficial at all. And you know, 872 00:49:30,680 --> 00:49:34,160 Speaker 1: there's the cherry picking that goes on and the CDC 873 00:49:34,320 --> 00:49:36,400 Speaker 1: had a couple of very low quality studies looking at 874 00:49:36,440 --> 00:49:39,839 Speaker 1: Arizona and Kansas, where they essentially just cherry picked their 875 00:49:39,920 --> 00:49:43,960 Speaker 1: end dates and their comparators and said, look, masks to 876 00:49:44,040 --> 00:49:47,279 Speaker 1: the reason we saw a decline. And you know, if 877 00:49:47,280 --> 00:49:51,239 Speaker 1: you look at kind of what's happened seasonally, you have 878 00:49:51,800 --> 00:49:54,880 Speaker 1: essentially identical patterns in places with them without mask mandates, 879 00:49:54,920 --> 00:49:57,919 Speaker 1: if they've got the same geography in the same sort 880 00:49:57,960 --> 00:50:00,360 Speaker 1: of time of year, and so I don't think that 881 00:50:00,440 --> 00:50:02,600 Speaker 1: they make a difference one way or the other. You 882 00:50:02,640 --> 00:50:06,080 Speaker 1: could argue some have suggested they may actually be harmful. 883 00:50:06,120 --> 00:50:08,799 Speaker 1: The reason that the Nordic states have all avoided the 884 00:50:08,880 --> 00:50:12,439 Speaker 1: mask mandates, you know, Sweden, Denmark, Norway and so forth, 885 00:50:12,440 --> 00:50:15,080 Speaker 1: as they say, look, you know, the mask doesn't really 886 00:50:15,120 --> 00:50:17,760 Speaker 1: do that much, especially the way a typical person handles 887 00:50:17,760 --> 00:50:19,840 Speaker 1: it is not well trained, the way the surgeon would be, 888 00:50:19,840 --> 00:50:22,160 Speaker 1: and so forth. But if you tell people that the 889 00:50:22,160 --> 00:50:25,319 Speaker 1: mask protects you, then suddenly they're going to stand right 890 00:50:25,320 --> 00:50:27,759 Speaker 1: next to each other for prolonged periods of time with 891 00:50:27,960 --> 00:50:29,840 Speaker 1: masks on, and they're gonna think they don't need to 892 00:50:29,920 --> 00:50:32,040 Speaker 1: keep their distance. And oh, and I'm sure people that 893 00:50:32,120 --> 00:50:33,960 Speaker 1: have mild code. They might go out of the house 894 00:50:34,000 --> 00:50:36,719 Speaker 1: even if they're feeling sick because mask on and so 895 00:50:36,840 --> 00:50:38,799 Speaker 1: the you know, a false belief that a mask will 896 00:50:38,800 --> 00:50:40,840 Speaker 1: protect you might actually put you at more risk. This 897 00:50:40,880 --> 00:50:42,960 Speaker 1: is what I've been saying. You're gonna have people that say, well, 898 00:50:43,000 --> 00:50:45,000 Speaker 1: maybe I got COVID, but my symptoms aren't that bad 899 00:50:45,040 --> 00:50:46,839 Speaker 1: and I'm wearing a mask, so I'm good to go. 900 00:50:47,040 --> 00:50:48,960 Speaker 1: It's like, no, this is a bad idea. There's a 901 00:50:48,960 --> 00:50:52,440 Speaker 1: bad idea, but I could guarantee that's been happening all 902 00:50:52,480 --> 00:50:54,680 Speaker 1: over the country, all over the world. Phil, Look, I 903 00:50:54,680 --> 00:50:57,480 Speaker 1: appreciate that you're willing to take a look at the 904 00:50:57,560 --> 00:51:00,360 Speaker 1: data here on the numbers and come to conclude as 905 00:51:00,400 --> 00:51:02,320 Speaker 1: that you know, aren't right in line with the consensus. 906 00:51:02,360 --> 00:51:05,399 Speaker 1: I feel like this is the brainwashing that has gone 907 00:51:05,400 --> 00:51:07,560 Speaker 1: on on this issue is unlike anything else I've ever 908 00:51:07,600 --> 00:51:08,800 Speaker 1: seen in my life. I just want to give you 909 00:51:08,840 --> 00:51:11,280 Speaker 1: the last word. Yeah. I mean, probably the most frightening 910 00:51:11,280 --> 00:51:13,440 Speaker 1: thing of the past year buck has been the extent 911 00:51:13,520 --> 00:51:17,080 Speaker 1: to which people not only accepted all of these various 912 00:51:17,200 --> 00:51:20,560 Speaker 1: arbitrary government decrees, but demanded them and welcomed them and 913 00:51:20,640 --> 00:51:23,959 Speaker 1: cheered them on. And I think the extent to which 914 00:51:23,960 --> 00:51:28,560 Speaker 1: a large portion of the public supports the heavy handed 915 00:51:29,000 --> 00:51:32,719 Speaker 1: government policy response is probably the most frightening takeaway of 916 00:51:32,719 --> 00:51:35,440 Speaker 1: this whole thing. And you know, it means we could 917 00:51:35,520 --> 00:51:37,560 Speaker 1: we could see this again every time there's a disease. 918 00:51:37,600 --> 00:51:40,080 Speaker 1: So I am I am concerned about that, and I 919 00:51:40,120 --> 00:51:43,680 Speaker 1: share your you know, I share your sentiments on that. 920 00:51:44,120 --> 00:51:47,480 Speaker 1: Bill Kirpin, President of American Commitment, Phil really appreciate it. 921 00:51:47,560 --> 00:51:51,879 Speaker 1: Talk to you soon. All right, every go on, you're 922 00:51:51,960 --> 00:51:54,640 Speaker 1: in the Freedom Heart. This is the Buck Sex and 923 00:51:54,719 --> 00:52:01,279 Speaker 1: Show podcast. Well, I think the party is uncertain of 924 00:52:01,320 --> 00:52:03,560 Speaker 1: the course that we're going to take going forward. The 925 00:52:03,600 --> 00:52:06,760 Speaker 1: principles that have long been the hallmark of my party 926 00:52:06,800 --> 00:52:09,280 Speaker 1: are very much in question, which is, do we believe 927 00:52:09,280 --> 00:52:12,080 Speaker 1: in balancing the budget? Do we believe in standing up 928 00:52:12,120 --> 00:52:15,480 Speaker 1: to people like Kim Jong Gun and Vladimir Putin? Are 929 00:52:15,520 --> 00:52:18,680 Speaker 1: we committed to the principle that character counts? These are 930 00:52:18,719 --> 00:52:20,080 Speaker 1: all things that I think we're going to have to 931 00:52:20,080 --> 00:52:22,359 Speaker 1: decide over the coming years. I can tell you this much. 932 00:52:22,600 --> 00:52:24,120 Speaker 1: Mid Romney's not going to be the leader of the 933 00:52:24,160 --> 00:52:26,640 Speaker 1: Republican Party. That's for damn sure. Mid Romney is a Democrat. 934 00:52:26,719 --> 00:52:28,759 Speaker 1: Now I'm not going to forget that one anytime soon. 935 00:52:29,200 --> 00:52:32,720 Speaker 1: He should be ashamed of his vote for the president 936 00:52:32,760 --> 00:52:37,320 Speaker 1: to be removed during that sham impeachment, an impeachment about 937 00:52:37,320 --> 00:52:40,719 Speaker 1: a president having a phone call where he asked about 938 00:52:40,800 --> 00:52:45,960 Speaker 1: what we know is an entirely legitimate issue Biden family corruption, 939 00:52:46,080 --> 00:52:49,560 Speaker 1: which is quite real. There's a federal investigation going on 940 00:52:49,640 --> 00:52:52,759 Speaker 1: around it. You know. They may not like that the 941 00:52:53,040 --> 00:52:55,920 Speaker 1: Trumpster was using some bare knockle politics here, but he 942 00:52:56,000 --> 00:52:58,239 Speaker 1: was within his rights to do it. It was a 943 00:52:58,320 --> 00:53:01,879 Speaker 1: fair ask. No action was taken on it anyway, and 944 00:53:02,120 --> 00:53:05,680 Speaker 1: mid Romney voted to have the president removed from office 945 00:53:05,680 --> 00:53:08,960 Speaker 1: based on that. Now, let's not ever forget this. There 946 00:53:08,960 --> 00:53:11,480 Speaker 1: are a lot of these never trumpers. There are a 947 00:53:11,520 --> 00:53:15,319 Speaker 1: lot of these stealth Democrats running around who were now 948 00:53:15,320 --> 00:53:16,799 Speaker 1: all of a sudden going to be talking about how 949 00:53:16,880 --> 00:53:21,279 Speaker 1: much they care about protecting life and the pro life movement. 950 00:53:21,320 --> 00:53:23,880 Speaker 1: They're gonna be talking about the constitution and limited government 951 00:53:23,960 --> 00:53:27,120 Speaker 1: and a strong national defense and all these things. They 952 00:53:27,160 --> 00:53:28,719 Speaker 1: think they were going to turn the clock back to, 953 00:53:28,920 --> 00:53:31,799 Speaker 1: you know, two thousand and six or something, and the 954 00:53:31,960 --> 00:53:37,480 Speaker 1: Romneyite McCain, you know, mccainneyan view of the Republican Party 955 00:53:37,760 --> 00:53:39,600 Speaker 1: is going to be what we go back to, and 956 00:53:39,640 --> 00:53:43,799 Speaker 1: I think that they're in for a rude awakening. It's 957 00:53:43,840 --> 00:53:46,719 Speaker 1: not going to happen, and it should not happen. We 958 00:53:46,800 --> 00:53:50,720 Speaker 1: now have a transformed Republican Party and it should stay 959 00:53:51,320 --> 00:53:56,480 Speaker 1: aligned with the principles of America first and just reason 960 00:53:56,600 --> 00:54:01,880 Speaker 1: and rationality in our foreign policy and domestic policy. Support 961 00:54:01,920 --> 00:54:04,880 Speaker 1: for rule of law, support for law enforcement. Those are 962 00:54:04,920 --> 00:54:07,440 Speaker 1: things that aren't going away. We're not all going to 963 00:54:07,520 --> 00:54:10,600 Speaker 1: start watching Milton Friedman lectures again and act like this 964 00:54:10,680 --> 00:54:14,000 Speaker 1: is nineteen eighty seven. Thanks for listening to The bus 965 00:54:14,080 --> 00:54:18,000 Speaker 1: Essen Show podcasts. Remember to subscribe on Apple podcast, at 966 00:54:18,000 --> 00:54:22,600 Speaker 1: the iHeartRadio app, or wherever you get your podcasts. I 967 00:54:22,600 --> 00:54:26,200 Speaker 1: had been saying, by my calculation sometime by the end 968 00:54:26,239 --> 00:54:28,880 Speaker 1: of the March the beginning of April, that the normal, 969 00:54:29,000 --> 00:54:31,319 Speaker 1: healthy man and woman in the street who has no 970 00:54:31,440 --> 00:54:34,719 Speaker 1: underlying conditions would likely get it at the end of 971 00:54:34,719 --> 00:54:37,799 Speaker 1: the day. The real bottom line is when do you 972 00:54:37,920 --> 00:54:43,080 Speaker 1: get the majority, the overwhelming majority of the population vaccinated 973 00:54:43,120 --> 00:54:46,120 Speaker 1: so you can get that umbrella of herd immunity. And 974 00:54:46,160 --> 00:54:48,960 Speaker 1: I believe if we're fishing about it and we convince 975 00:54:49,040 --> 00:54:52,759 Speaker 1: people to get vaccinated. We can accomplish that by the 976 00:54:52,880 --> 00:54:56,120 Speaker 1: end of the second quarter of twenty twenty one, namely 977 00:54:56,480 --> 00:55:00,920 Speaker 1: by the end of the late spring early summer. They're 978 00:55:00,920 --> 00:55:04,439 Speaker 1: gonna take as many lives, as many months of your 979 00:55:04,480 --> 00:55:07,759 Speaker 1: life from you as they can until they realize they 980 00:55:07,800 --> 00:55:10,799 Speaker 1: no longer have that power. I mean, Fauci is I 981 00:55:10,800 --> 00:55:13,799 Speaker 1: think making that quite clear. He's just effectively telling you 982 00:55:13,840 --> 00:55:20,520 Speaker 1: that by June, let's say, you know, April, May, March, June, July, 983 00:55:20,600 --> 00:55:24,320 Speaker 1: oh sorry, fair January, February, March, April, May, June. So 984 00:55:24,560 --> 00:55:27,800 Speaker 1: by the end of the second quarter, by this summer, 985 00:55:28,280 --> 00:55:31,440 Speaker 1: you'll have most people who are going to get vaccinated vaccinated. 986 00:55:32,120 --> 00:55:33,720 Speaker 1: Do you think that that means that all of a sudden, 987 00:55:33,760 --> 00:55:36,839 Speaker 1: the Faucci Heights and the rest of the lockdowners are 988 00:55:36,840 --> 00:55:39,720 Speaker 1: going to say, you know what, go live your life, folks, 989 00:55:39,920 --> 00:55:44,400 Speaker 1: go travel, go be around people, go socialize again. Now 990 00:55:44,680 --> 00:55:46,480 Speaker 1: they're gonna say, we can't we can't know yet. This 991 00:55:46,719 --> 00:55:50,800 Speaker 1: virus still out there. The virus is still out there. 992 00:55:52,040 --> 00:55:53,719 Speaker 1: You'll say, yeah, but there are a lot of virus 993 00:55:53,800 --> 00:55:55,959 Speaker 1: is still out there, and you know, life is short. 994 00:55:56,280 --> 00:55:58,000 Speaker 1: How much more of this are we supposed to take? 995 00:55:58,960 --> 00:56:01,759 Speaker 1: And what you see is we have a population, unfortunately 996 00:56:01,760 --> 00:56:03,680 Speaker 1: in America. I think we've all gotten so used to 997 00:56:04,360 --> 00:56:08,640 Speaker 1: everything on demand, delicious food, excellent medical care, you know, 998 00:56:08,840 --> 00:56:13,319 Speaker 1: super comfortable accommodations, even for people who aren't wealthy by 999 00:56:13,320 --> 00:56:15,840 Speaker 1: any American standard. We've gotten used to all this, and 1000 00:56:15,960 --> 00:56:18,080 Speaker 1: we all just expect that we're going to live deep 1001 00:56:18,120 --> 00:56:20,400 Speaker 1: into our eighties, maybe into our nineties, or even to 1002 00:56:20,520 --> 00:56:23,600 Speaker 1: triple digits. And our belief is that we are all 1003 00:56:23,640 --> 00:56:26,800 Speaker 1: guaranteed that, especially if we listen to the faucies of 1004 00:56:26,840 --> 00:56:30,360 Speaker 1: the world. That's just not true. It's just not true. 1005 00:56:31,040 --> 00:56:33,280 Speaker 1: And a lot of people want to live their lives 1006 00:56:33,360 --> 00:56:36,120 Speaker 1: as though they recognize that that is not true, that 1007 00:56:36,160 --> 00:56:39,440 Speaker 1: there are no guarantees here. But what we've seen is 1008 00:56:39,440 --> 00:56:43,160 Speaker 1: the public unfortunately hand off to the faucies of the 1009 00:56:43,200 --> 00:56:47,719 Speaker 1: world the right to determine for them what acceptable risk 1010 00:56:47,880 --> 00:56:51,600 Speaker 1: is here. And as long as you are not able 1011 00:56:51,640 --> 00:56:53,520 Speaker 1: to be the arbiter of your own personal risk or 1012 00:56:53,600 --> 00:56:56,960 Speaker 1: risk for your family, there will be bureaucrats making those 1013 00:56:56,960 --> 00:56:59,080 Speaker 1: calls for you. And that's what we see going on. 1014 00:56:59,560 --> 00:57:01,879 Speaker 1: So let's assume let's play this out for a second. 1015 00:57:01,920 --> 00:57:06,960 Speaker 1: Fauci says that we'll have herd immunity effectively by June, 1016 00:57:08,520 --> 00:57:12,160 Speaker 1: herd immunity by June, and you would think that at 1017 00:57:12,160 --> 00:57:14,480 Speaker 1: that point we should be having big celebrations, that every 1018 00:57:14,480 --> 00:57:15,759 Speaker 1: should be able to go out and do what they 1019 00:57:15,800 --> 00:57:24,720 Speaker 1: want to do. That's just not true. It's just not true. 1020 00:57:25,920 --> 00:57:28,840 Speaker 1: They're going to say, well, we can't take that risk. 1021 00:57:29,280 --> 00:57:30,920 Speaker 1: We have to wait and make sure that we have 1022 00:57:30,960 --> 00:57:33,439 Speaker 1: a period here of almost no COVID kids. Yeah, they'll 1023 00:57:33,480 --> 00:57:38,040 Speaker 1: relax on some of the lockdown policies, but they're still 1024 00:57:38,080 --> 00:57:41,840 Speaker 1: gonna probably have a prohibitions on large gatherings. You know, 1025 00:57:41,880 --> 00:57:43,480 Speaker 1: you're not gonna be able to have a wedding in 1026 00:57:43,520 --> 00:57:46,000 Speaker 1: a lot of states with one hundred and fifty people 1027 00:57:46,160 --> 00:57:48,960 Speaker 1: in July, even if we're at herd immunity in June, 1028 00:57:50,080 --> 00:57:52,600 Speaker 1: because they're just they're gonna say, sorry, no risk, not allowed, 1029 00:57:52,640 --> 00:57:55,040 Speaker 1: not allowed. They're they're gonna just hold on. They're gonna 1030 00:57:55,120 --> 00:57:58,520 Speaker 1: grip with their grubbing little fingers. They're gonna grip the 1031 00:57:58,560 --> 00:58:04,440 Speaker 1: bureaucrats and the apparatus and the Democrats and the Biden apparatchicks. 1032 00:58:05,440 --> 00:58:08,240 Speaker 1: They're gonna hold on to this power with everything they've got, 1033 00:58:08,280 --> 00:58:10,000 Speaker 1: and the Cuomos and the newsoms and all the rest 1034 00:58:10,040 --> 00:58:12,960 Speaker 1: of them, because they really want you all to submit. 1035 00:58:13,000 --> 00:58:16,840 Speaker 1: They want us to be begging to get some normalcy, 1036 00:58:16,920 --> 00:58:19,760 Speaker 1: some freedom back, so that then we forget right. There's 1037 00:58:19,760 --> 00:58:23,400 Speaker 1: almost like a hostage hostage vibe here where when the 1038 00:58:23,440 --> 00:58:27,040 Speaker 1: hostage taker, you know, finally gives you a slice of 1039 00:58:27,080 --> 00:58:29,320 Speaker 1: cold pizza or something after they've held you for a 1040 00:58:29,320 --> 00:58:33,400 Speaker 1: few days and you're starving, you're thankful to your hostage taker. 1041 00:58:33,480 --> 00:58:37,080 Speaker 1: Oh my gosh, thank you, mister hostage taker. You know, 1042 00:58:37,120 --> 00:58:40,000 Speaker 1: thank you terrorist. You're gonna finally let me have like 1043 00:58:40,080 --> 00:58:41,680 Speaker 1: something to eat. You're gonna you're gonna let me go 1044 00:58:41,720 --> 00:58:43,440 Speaker 1: to the bathroom now, or you're gonna you're gonna give 1045 00:58:43,480 --> 00:58:46,960 Speaker 1: me some water. It's been two days. Oh my gosh, 1046 00:58:46,960 --> 00:58:50,680 Speaker 1: this this happens. This is a a psychological response that 1047 00:58:50,680 --> 00:58:53,160 Speaker 1: you'll have to high stress situations, and I think they're 1048 00:58:53,160 --> 00:58:56,920 Speaker 1: counting on that. I think their belief is that whenever 1049 00:58:56,960 --> 00:58:59,960 Speaker 1: they begin to give us back our basic rights to live, 1050 00:59:00,040 --> 00:59:03,200 Speaker 1: our lives will be so beaten down at that point 1051 00:59:03,200 --> 00:59:06,160 Speaker 1: and so frustrated, it's so tired of all of this 1052 00:59:06,760 --> 00:59:10,440 Speaker 1: that just anything to make it stop will be our mentality. 1053 00:59:10,760 --> 00:59:13,880 Speaker 1: And that means that we won't question them, we won't 1054 00:59:13,920 --> 00:59:17,400 Speaker 1: bring up any of this. We'll just say sure, anything 1055 00:59:18,280 --> 00:59:23,720 Speaker 1: to make it stop. And Faucci is out there telling 1056 00:59:23,720 --> 00:59:27,240 Speaker 1: everyone to get vaccind how's that going to go? Play seven? 1057 00:59:28,200 --> 00:59:31,080 Speaker 1: You have said you would get vaccinated publicly, doctor Fauci, 1058 00:59:31,080 --> 00:59:33,200 Speaker 1: any update on when you know? I don't. I mean, 1059 00:59:33,240 --> 00:59:36,600 Speaker 1: I'm gonna wait to see we're getting a shipment, maybe 1060 00:59:36,640 --> 00:59:40,280 Speaker 1: already have a shipment here on the NIH campus. I 1061 00:59:40,320 --> 00:59:43,560 Speaker 1: will as soon as my turn comes up, which likely 1062 00:59:43,600 --> 00:59:46,920 Speaker 1: will be very soon. I'm going to be available to 1063 00:59:46,960 --> 00:59:50,320 Speaker 1: get vaccinated publicly so that people can see that I 1064 00:59:50,360 --> 00:59:53,480 Speaker 1: feel strongly that this is something we should do, and 1065 00:59:53,600 --> 00:59:56,720 Speaker 1: hopefully that will encourage many more people to get vaccinated. 1066 00:59:57,000 --> 00:59:59,720 Speaker 1: They're going to say that as long as they think 1067 00:59:59,720 --> 01:00:02,560 Speaker 1: they're still people that have to get vaccinated. Even those 1068 01:00:02,640 --> 01:00:06,600 Speaker 1: who have been vaccinated don't get to live their lives 1069 01:00:06,640 --> 01:00:12,000 Speaker 1: in greater freedom. That becomes the coercive mechanism. That then 1070 01:00:12,080 --> 01:00:15,000 Speaker 1: becomes sorry. I know you did your part. You've listened 1071 01:00:15,040 --> 01:00:19,280 Speaker 1: to FOUCH all along, You've worn the masks, you've you've 1072 01:00:19,360 --> 01:00:23,480 Speaker 1: social distanced, you lost your business, you shut down, you're 1073 01:00:23,480 --> 01:00:26,520 Speaker 1: gone bankrupt. You did everything the FOUCH told you, and 1074 01:00:26,520 --> 01:00:28,560 Speaker 1: you think, okay, well I got vaccinated. Now it should 1075 01:00:28,600 --> 01:00:29,800 Speaker 1: be good to go. Right now, I don't have to 1076 01:00:29,800 --> 01:00:32,480 Speaker 1: worry anymore. And Fouchers did to say, well, maybe you 1077 01:00:33,240 --> 01:00:36,960 Speaker 1: got vaccinated, but there are a lot of millions of 1078 01:00:36,960 --> 01:00:41,040 Speaker 1: other people that didn't get vaccinated. And let's all understand this. 1079 01:00:41,520 --> 01:00:46,120 Speaker 1: If we can just get nursing homes vaccinated across the 1080 01:00:46,160 --> 01:00:49,120 Speaker 1: country by the numbers, this is not this is not 1081 01:00:49,160 --> 01:00:53,000 Speaker 1: just a guess. By the numbers, the monthly death rate 1082 01:00:53,080 --> 01:00:58,120 Speaker 1: should should drop in half by the time. So if 1083 01:00:58,120 --> 01:01:01,520 Speaker 1: we get by the end of December, if nursing homes 1084 01:01:02,560 --> 01:01:05,600 Speaker 1: are all vaccinated across the country, which would be pretty ambitious, 1085 01:01:05,600 --> 01:01:08,680 Speaker 1: that may not happen. But let's say by by mid January, 1086 01:01:08,760 --> 01:01:11,520 Speaker 1: late January, all the nursing homes have had all their 1087 01:01:11,600 --> 01:01:18,880 Speaker 1: residents vaccinated against this. You should you should see a 1088 01:01:18,960 --> 01:01:22,360 Speaker 1: fifty percent or more decline in mortality from the virus. 1089 01:01:22,400 --> 01:01:25,720 Speaker 1: Fifty percent on a monthly basis, and that's based on 1090 01:01:25,720 --> 01:01:28,680 Speaker 1: what we've ordered. That's that's on months, and fifty percent 1091 01:01:28,760 --> 01:01:35,280 Speaker 1: of deaths up to this point have been nursing home residents. 1092 01:01:35,280 --> 01:01:36,760 Speaker 1: Fifty percent of them up to this point. I've been 1093 01:01:36,840 --> 01:01:40,800 Speaker 1: nursing home residence. So you could even make a case 1094 01:01:40,800 --> 01:01:42,720 Speaker 1: that should be once you get all the nursing homes vaccinated, 1095 01:01:42,760 --> 01:01:44,600 Speaker 1: it might even be a larger number than fifty percent. 1096 01:01:44,640 --> 01:01:50,040 Speaker 1: But nonetheless, when do we actually get to live our 1097 01:01:50,040 --> 01:01:53,320 Speaker 1: lives again, When do we get to stop wearing these 1098 01:01:53,600 --> 01:01:58,160 Speaker 1: dumb masks all the time? I hate them. I hate it. 1099 01:01:58,920 --> 01:02:03,120 Speaker 1: I think it's it's submission to popular panic and to 1100 01:02:03,160 --> 01:02:05,800 Speaker 1: the will of the mob. I have to wear a 1101 01:02:05,840 --> 01:02:08,520 Speaker 1: mask outside now in New York City. This is idiotic. 1102 01:02:08,560 --> 01:02:11,000 Speaker 1: There's no science to back that up. Don't you know. 1103 01:02:11,040 --> 01:02:12,360 Speaker 1: I'm not going to listen to these lives and they 1104 01:02:12,360 --> 01:02:14,439 Speaker 1: pull the science card, but there's no science that says 1105 01:02:14,440 --> 01:02:17,640 Speaker 1: you got to wear a mask outside. Think about it 1106 01:02:17,680 --> 01:02:20,360 Speaker 1: this way. People have been eating in New York City 1107 01:02:20,440 --> 01:02:22,600 Speaker 1: restaurants for months now, and they have this test and 1108 01:02:22,640 --> 01:02:24,800 Speaker 1: trace program, which is pretty much a joke, but you know, 1109 01:02:24,840 --> 01:02:27,960 Speaker 1: they do some testing and tracing, and think about it 1110 01:02:28,000 --> 01:02:30,680 Speaker 1: this way. They have looked at the data and told 1111 01:02:30,720 --> 01:02:32,720 Speaker 1: you that when people sit in an enclosed space in 1112 01:02:32,720 --> 01:02:34,960 Speaker 1: a restaurant with no mask, which is what happens when 1113 01:02:34,960 --> 01:02:38,880 Speaker 1: you're eating, that's one percent of the spread. But we 1114 01:02:38,960 --> 01:02:42,440 Speaker 1: are all supposed to believe. We are all supposed to 1115 01:02:42,480 --> 01:02:46,880 Speaker 1: think that outdoors, there's a lot of spread happening that 1116 01:02:47,040 --> 01:02:50,920 Speaker 1: outdoors you should be wearing a mask based on what 1117 01:02:51,080 --> 01:02:55,520 Speaker 1: Where is the data to suggest that outdoor mask wearing 1118 01:02:55,560 --> 01:02:59,120 Speaker 1: is intelligent and that people should be doing this. Where 1119 01:02:59,200 --> 01:03:01,440 Speaker 1: is Oh, it's a solidarity, think it's a political thing. 1120 01:03:01,560 --> 01:03:04,720 Speaker 1: Notice the moment that the science does not clearly does 1121 01:03:04,800 --> 01:03:09,960 Speaker 1: not support one of their positions, The conversation suddenly shifts, 1122 01:03:10,480 --> 01:03:12,960 Speaker 1: the moment that they can't just yell science at the 1123 01:03:12,960 --> 01:03:14,880 Speaker 1: top of their lungs and all of us go, oh, okay, Well, 1124 01:03:14,920 --> 01:03:17,600 Speaker 1: if it's what the science says, what do they do? 1125 01:03:18,520 --> 01:03:22,200 Speaker 1: They just shift and say, no, now it's actually about politics. 1126 01:03:23,080 --> 01:03:26,320 Speaker 1: Now it's about something else. Now there are other considerations 1127 01:03:26,360 --> 01:03:29,400 Speaker 1: that we're all supposed to have. Oh isn't that? Isn't 1128 01:03:29,440 --> 01:03:35,360 Speaker 1: that convenient? Convenient? Indeed? And as for the vaccine itself, 1129 01:03:36,600 --> 01:03:39,160 Speaker 1: I have concerns here from what I'm reading in some 1130 01:03:39,240 --> 01:03:42,440 Speaker 1: of the analyzes of the data, not that the vaccine 1131 01:03:42,520 --> 01:03:45,439 Speaker 1: does not work. I think the vaccine seems to work 1132 01:03:45,520 --> 01:03:49,480 Speaker 1: quite well, but they they're telling well, here here's what 1133 01:03:49,560 --> 01:03:52,400 Speaker 1: Faucci is saying about this play six sa we did 1134 01:03:52,440 --> 01:03:57,200 Speaker 1: not see any severe adverse events. There is reactivegenicity, which 1135 01:03:57,240 --> 01:04:01,160 Speaker 1: really means the typical things that you get or some 1136 01:04:01,320 --> 01:04:04,960 Speaker 1: muscle aches, maybe a little malaise, sometimes a fever. It 1137 01:04:05,080 --> 01:04:08,360 Speaker 1: usually doesn't last any more than twenty four to thirty 1138 01:04:08,400 --> 01:04:12,479 Speaker 1: six hours. But with regards to severe adverse events, that's 1139 01:04:12,480 --> 01:04:15,400 Speaker 1: the reason why when you go from tens of thousands 1140 01:04:15,440 --> 01:04:18,880 Speaker 1: of people to now two point nine million doses have 1141 01:04:18,960 --> 01:04:23,160 Speaker 1: been shipped to about one hundred and forty five locations today. 1142 01:04:23,720 --> 01:04:25,560 Speaker 1: So when you get that many people, you want to 1143 01:04:25,560 --> 01:04:28,960 Speaker 1: make sure you keep a heads up for the occurrence 1144 01:04:29,160 --> 01:04:32,360 Speaker 1: of any adverse events that you did not see in 1145 01:04:32,440 --> 01:04:37,360 Speaker 1: the TRUBE. He's saying that, you know, they they may 1146 01:04:37,800 --> 01:04:40,320 Speaker 1: learn some stuff here as people are getting this vaccination 1147 01:04:40,720 --> 01:04:44,160 Speaker 1: about the reactivity, I think is what you call it. 1148 01:04:45,200 --> 01:04:47,560 Speaker 1: There were a plant there were people who got fevers, 1149 01:04:47,600 --> 01:04:51,040 Speaker 1: who got uh, you know, extreme fatigue, things like that 1150 01:04:51,160 --> 01:04:55,720 Speaker 1: from taking the vaccine. And you know they also in 1151 01:04:55,720 --> 01:04:59,800 Speaker 1: the test that that Fiser did, they mostly I think 1152 01:05:00,080 --> 01:05:01,760 Speaker 1: is five to ten percent of the people were over 1153 01:05:01,800 --> 01:05:03,840 Speaker 1: sixty in the Fiser So most of the people who 1154 01:05:03,880 --> 01:05:08,080 Speaker 1: got the vaccine in the Fiser trial were younger, healthier, people. 1155 01:05:09,040 --> 01:05:11,480 Speaker 1: That's also an interesting Well we'll see how this plays out, 1156 01:05:11,480 --> 01:05:15,080 Speaker 1: because if you're thirty years old, why you're going to 1157 01:05:15,120 --> 01:05:18,360 Speaker 1: get this vaccine in six months when everyone who's at 1158 01:05:18,440 --> 01:05:21,440 Speaker 1: high risk already has gotten it. Think about this, Think 1159 01:05:21,480 --> 01:05:23,320 Speaker 1: about the way this will be rolled out. You're gonna 1160 01:05:23,320 --> 01:05:27,120 Speaker 1: have people that are very the people that are at 1161 01:05:27,160 --> 01:05:29,600 Speaker 1: high risk, we're gonna get it first, and so over 1162 01:05:29,680 --> 01:05:34,640 Speaker 1: time you'll have fewer and fewer people who are really incentivized. 1163 01:05:34,720 --> 01:05:36,880 Speaker 1: Because well, if everyone in the senior homes, you know, 1164 01:05:37,080 --> 01:05:39,960 Speaker 1: if I didn't have to worry about people over fifty 1165 01:05:40,000 --> 01:05:43,760 Speaker 1: getting COVID, really over sixty five getting COVID, I wouldn't 1166 01:05:43,760 --> 01:05:48,680 Speaker 1: worry about this really at all. It's less dangerous to 1167 01:05:48,880 --> 01:05:52,080 Speaker 1: people under fifty. It's less dangerous than a bad seasonal flu. 1168 01:05:52,200 --> 01:05:55,920 Speaker 1: That's just a fact. So if we get the people 1169 01:05:55,920 --> 01:05:59,800 Speaker 1: in the high risk category vaccinated, why is the X 1170 01:06:00,080 --> 01:06:05,080 Speaker 1: factation beyond that supposed to be that everyone what I mean, 1171 01:06:05,120 --> 01:06:07,360 Speaker 1: are we gonna are we gonna not achieve herd immunity? 1172 01:06:07,360 --> 01:06:11,400 Speaker 1: And even when five year olds haven't been vaccinated, there'd 1173 01:06:11,400 --> 01:06:12,880 Speaker 1: be a lot of parents are gonna say, look, I'm 1174 01:06:12,880 --> 01:06:14,440 Speaker 1: not sticking this thing in my kid. There's no long 1175 01:06:14,560 --> 01:06:16,800 Speaker 1: term trial that's been done on this, and kids are 1176 01:06:16,840 --> 01:06:18,960 Speaker 1: at no risk, so why should And kids can barely, 1177 01:06:19,080 --> 01:06:21,920 Speaker 1: if ever, spread it to people who are older than them. 1178 01:06:22,520 --> 01:06:24,080 Speaker 1: So would you kids have to get it too? You know? 1179 01:06:24,080 --> 01:06:25,760 Speaker 1: When they talk about herd immunity. I think this is 1180 01:06:25,760 --> 01:06:28,160 Speaker 1: going to be a very interesting discussion. What does that 1181 01:06:28,240 --> 01:06:30,720 Speaker 1: even it's a concept, what does that even mean in practice? 1182 01:06:31,360 --> 01:06:33,040 Speaker 1: But see, they don't want you to ask any of 1183 01:06:33,040 --> 01:06:34,600 Speaker 1: these questions. They don't want you to think about this. 1184 01:06:34,680 --> 01:06:36,480 Speaker 1: They just want you to jab the needle in your arm, 1185 01:06:36,520 --> 01:06:41,000 Speaker 1: shut up, wear that mask, do what you're told. America 1186 01:06:41,240 --> 01:06:44,400 Speaker 1: is not the give me liberty or give me death 1187 01:06:44,400 --> 01:06:46,120 Speaker 1: country that we thought we were. We've learned that. It's 1188 01:06:46,160 --> 01:06:49,720 Speaker 1: been very unfortunate. It's been very sad, although I am 1189 01:06:50,680 --> 01:06:53,920 Speaker 1: pleased every time I see some business owner who tells 1190 01:06:53,960 --> 01:06:59,040 Speaker 1: one of these health bureaucrats to go stuff it. You're 1191 01:06:59,120 --> 01:07:02,800 Speaker 1: in the freedom. This is the Buck Sexton Show podcast. 1192 01:07:06,480 --> 01:07:09,600 Speaker 1: First of look, it's our responsibility. Where your masks, social distance, 1193 01:07:09,640 --> 01:07:12,600 Speaker 1: wash your hands, you know, be careful. I mean that's 1194 01:07:12,600 --> 01:07:14,160 Speaker 1: what we have to do. If you've been around somebody, 1195 01:07:14,240 --> 01:07:17,000 Speaker 1: or you test it positive like I did, and you know, 1196 01:07:17,120 --> 01:07:18,640 Speaker 1: a month or so ago, you got to be out 1197 01:07:18,680 --> 01:07:21,280 Speaker 1: a quarantine, which I did. So that's what you have 1198 01:07:21,320 --> 01:07:23,280 Speaker 1: to do. But we got to get this economy going. 1199 01:07:23,680 --> 01:07:26,640 Speaker 1: Look at this, go back to Steve. These states that 1200 01:07:26,760 --> 01:07:28,840 Speaker 1: have the bad unemployment, that's what they're doing. They keep 1201 01:07:28,920 --> 01:07:31,680 Speaker 1: shutting these things down. How can you how can people 1202 01:07:31,680 --> 01:07:33,959 Speaker 1: put food on the table if they don't have a job. 1203 01:07:34,040 --> 01:07:36,800 Speaker 1: And you know, these guys like Cuomo, they don't care. 1204 01:07:36,840 --> 01:07:40,560 Speaker 1: They're doing fine. He's always done fine. It's everybody else 1205 01:07:40,600 --> 01:07:43,520 Speaker 1: and is he's hurting the poorest families in his state. 1206 01:07:43,720 --> 01:07:47,120 Speaker 1: We're not going to do that in Florida. Florida is 1207 01:07:47,160 --> 01:07:49,920 Speaker 1: showing that this stuff that they've made us all do 1208 01:07:50,080 --> 01:07:54,600 Speaker 1: these lockdowns and these extreme responses, all this it's unnecessary. 1209 01:07:55,720 --> 01:07:58,439 Speaker 1: Why have all these mandates when Florida is doing better 1210 01:07:58,480 --> 01:08:00,600 Speaker 1: than a place like New York is doing right now, 1211 01:08:00,880 --> 01:08:03,400 Speaker 1: or better than a place like California is doing overall 1212 01:08:04,080 --> 01:08:07,120 Speaker 1: without all the mandates, right or rather they have the 1213 01:08:07,160 --> 01:08:11,200 Speaker 1: mandates in Florida does not, So what advantage is there 1214 01:08:11,200 --> 01:08:14,480 Speaker 1: of them? The data does not support it. But then 1215 01:08:14,520 --> 01:08:16,519 Speaker 1: what you see, and this is what Senator Rick Scott 1216 01:08:16,560 --> 01:08:21,280 Speaker 1: brings up here, and the people that are making these decisions, 1217 01:08:21,320 --> 01:08:23,679 Speaker 1: the people that are saying these things, they are not 1218 01:08:24,640 --> 01:08:28,080 Speaker 1: themselves suffering. Governor Cuomo hasn't missed a paycheck. Governor Newsom 1219 01:08:28,080 --> 01:08:31,080 Speaker 1: hasn't missed a paycheck. These are wealthy people who continue 1220 01:08:31,120 --> 01:08:33,680 Speaker 1: to really in many ways grow wealthier or as their 1221 01:08:33,680 --> 01:08:37,360 Speaker 1: power increases, it just means that they'll have more opportunities 1222 01:08:37,720 --> 01:08:41,920 Speaker 1: to cash in on their political on their political power 1223 01:08:42,200 --> 01:08:46,880 Speaker 1: down the line, the accumulation of this will just mean that, 1224 01:08:47,120 --> 01:08:49,960 Speaker 1: you know, they're they're bigger names now, they are known 1225 01:08:50,320 --> 01:08:54,160 Speaker 1: more in national level circles. So all the influence, peddling, 1226 01:08:54,200 --> 01:08:55,760 Speaker 1: all the stuff, all the ways they'll be able to 1227 01:08:55,800 --> 01:08:59,200 Speaker 1: monetize this period, those continue for them. But we were 1228 01:08:59,240 --> 01:09:01,680 Speaker 1: never all in this together. We were never all in 1229 01:09:01,720 --> 01:09:06,720 Speaker 1: this together. There were some people who are actually suffering 1230 01:09:06,880 --> 01:09:10,600 Speaker 1: terribly economically from this. They're watching their businesses be destroyed, 1231 01:09:10,600 --> 01:09:13,439 Speaker 1: they're going bankrupt, they're they're having a horrible time of it. 1232 01:09:14,200 --> 01:09:18,360 Speaker 1: And there are other people who very clearly are able 1233 01:09:18,360 --> 01:09:21,720 Speaker 1: to just continue on as is and not suffer any 1234 01:09:21,720 --> 01:09:25,720 Speaker 1: particular consequences from this. There's a lockdown for them just 1235 01:09:25,760 --> 01:09:28,120 Speaker 1: means work from home. For a lot of people, it's 1236 01:09:28,120 --> 01:09:30,640 Speaker 1: a dream come true. Look, I'm sitting here telling you 1237 01:09:30,720 --> 01:09:33,080 Speaker 1: right now, I am perfectly happy to not have to 1238 01:09:33,120 --> 01:09:36,680 Speaker 1: go to a formal radio studio anymore. There's no advantage 1239 01:09:36,680 --> 01:09:39,479 Speaker 1: for me in that. Right now, I live in New 1240 01:09:39,560 --> 01:09:41,160 Speaker 1: York City, and I have to go into a TV 1241 01:09:41,280 --> 01:09:45,280 Speaker 1: studio every day, and I have to interact in the 1242 01:09:45,320 --> 01:09:47,640 Speaker 1: outside world in New York. So I'm subjected to a 1243 01:09:47,680 --> 01:09:50,719 Speaker 1: lot of the COVID nonsense as well as the COVID risks. 1244 01:09:51,880 --> 01:09:54,320 Speaker 1: But for tons of people, I mean, if you live 1245 01:09:54,320 --> 01:09:57,360 Speaker 1: in a big house in the suburbs and you know, 1246 01:09:57,400 --> 01:10:00,439 Speaker 1: this is just meant you've really gotten used to ordering, 1247 01:10:01,040 --> 01:10:04,759 Speaker 1: you know, your your groceries from Amazon and having Uber Eats, 1248 01:10:04,800 --> 01:10:07,559 Speaker 1: you know, deliver Chinese food to you. That's all this 1249 01:10:07,640 --> 01:10:08,960 Speaker 1: is really meant for them. And you know you don't 1250 01:10:08,960 --> 01:10:10,479 Speaker 1: get to go to big parties for a while. Oh 1251 01:10:10,720 --> 01:10:13,880 Speaker 1: you know. Oh well, so some people have had a 1252 01:10:13,960 --> 01:10:16,080 Speaker 1: terrible time of this and others have not, And the 1253 01:10:16,200 --> 01:10:21,360 Speaker 1: media is overwhelmingly representative of the people that have actually 1254 01:10:21,439 --> 01:10:25,639 Speaker 1: thrived financially and economically during the pandemic. I've done quite 1255 01:10:25,640 --> 01:10:29,040 Speaker 1: well while all of this was happening. That's that's the truth, 1256 01:10:29,760 --> 01:10:33,519 Speaker 1: you know, the media has been part of this class 1257 01:10:33,520 --> 01:10:37,479 Speaker 1: that has benefited from it in many ways. So I 1258 01:10:37,800 --> 01:10:41,320 Speaker 1: just I continued it to see this disconnect and this 1259 01:10:41,920 --> 01:10:46,080 Speaker 1: lack of appreciation in the media for the people out 1260 01:10:46,120 --> 01:10:51,360 Speaker 1: there who are just saying, you know what am I 1261 01:10:51,360 --> 01:10:54,880 Speaker 1: supposed to do here? You know, making a decision that 1262 01:10:55,000 --> 01:10:58,519 Speaker 1: ruined someone's business, that bankrupts their family. That should not 1263 01:10:58,560 --> 01:11:01,240 Speaker 1: be taken lightly, and it's it should not be something 1264 01:11:01,280 --> 01:11:04,479 Speaker 1: the government is even able to do. And they've been 1265 01:11:04,520 --> 01:11:07,360 Speaker 1: doing it to millions of people across the country, and 1266 01:11:07,439 --> 01:11:10,599 Speaker 1: the speak truth to power. Oh, we're the guardians of 1267 01:11:10,600 --> 01:11:14,240 Speaker 1: the republic. Journals out there. They haven't cared about this. 1268 01:11:14,479 --> 01:11:18,519 Speaker 1: They haven't been doing all they can to raise this 1269 01:11:18,640 --> 01:11:21,880 Speaker 1: plight to public consciousness. No, they're they're saying, wear your mask. 1270 01:11:21,960 --> 01:11:24,920 Speaker 1: Shut up. You know, it's not about getting a haircut. 1271 01:11:25,000 --> 01:11:26,160 Speaker 1: Remember when they used to say that it was just 1272 01:11:26,200 --> 01:11:29,840 Speaker 1: because people wanted haircuts. Thanks for listening to The Bus 1273 01:11:29,840 --> 01:11:33,920 Speaker 1: Sesson Show podcasts. Remember to subscribe on Apple podcasts, the 1274 01:11:34,000 --> 01:11:38,920 Speaker 1: iHeartRadio app, or wherever you get your podcasts. The good 1275 01:11:38,920 --> 01:11:42,519 Speaker 1: news is that people have had enough enough with the 1276 01:11:42,600 --> 01:11:48,519 Speaker 1: mask shaming, enough with the tyrannical health inspectors. I was 1277 01:11:48,560 --> 01:11:50,400 Speaker 1: trying to track down where this was. This is already 1278 01:11:50,439 --> 01:11:53,760 Speaker 1: going viral on social media. It's a guy, and I'll 1279 01:11:53,760 --> 01:11:57,040 Speaker 1: just tell you he's wearing some pretty tight, tight shorts, 1280 01:11:57,479 --> 01:11:59,439 Speaker 1: which is getting a lot of attention. He's wearing some 1281 01:11:59,560 --> 01:12:02,960 Speaker 1: very tight shorts and he definitely could use a little 1282 01:12:03,000 --> 01:12:04,760 Speaker 1: more a little more space than them to to kind 1283 01:12:04,760 --> 01:12:08,000 Speaker 1: of let him relax a little bit. Because he goes 1284 01:12:08,080 --> 01:12:09,400 Speaker 1: up to a woman and it looks like they're in 1285 01:12:09,760 --> 01:12:12,320 Speaker 1: a big grocery store, department store or something like, not 1286 01:12:12,400 --> 01:12:14,280 Speaker 1: a department store, a grocery store or a big box 1287 01:12:14,320 --> 01:12:17,320 Speaker 1: store of some kind. And this is a woman and 1288 01:12:17,600 --> 01:12:21,960 Speaker 1: she's being approached by this guy because she's not oh oh, 1289 01:12:22,000 --> 01:12:25,400 Speaker 1: she's not wearing a mask. And here's how the exchange 1290 01:12:25,439 --> 01:12:28,920 Speaker 1: goes play. Put your mask on, get away from me. 1291 01:12:29,479 --> 01:12:31,559 Speaker 1: Doesn't bother anybody else that she doesn't have to wear 1292 01:12:31,600 --> 01:12:33,840 Speaker 1: a mask that we all do. Just go away, stay 1293 01:12:33,880 --> 01:12:38,200 Speaker 1: six feet away from me, then, no, get away from me. No, yeah, 1294 01:12:38,200 --> 01:12:40,960 Speaker 1: please get away from me right now. No, you don't 1295 01:12:41,000 --> 01:12:42,519 Speaker 1: know why. You don't need to come near me. She 1296 01:12:42,600 --> 01:12:49,880 Speaker 1: has from walk away from me, STARp. Please get away 1297 01:12:49,920 --> 01:12:59,120 Speaker 1: from me. You don't care leave me alone alone, she put, 1298 01:12:59,200 --> 01:13:08,160 Speaker 1: she get out of here. I know who you voted for. 1299 01:13:09,760 --> 01:13:12,040 Speaker 1: That's my favorite. My favorite is the Lettian. I know 1300 01:13:12,040 --> 01:13:14,920 Speaker 1: who you voted for. Yeah, she does. Guy's clearly a 1301 01:13:14,960 --> 01:13:17,679 Speaker 1: Biden voter. Because this is so political for these people. 1302 01:13:18,720 --> 01:13:20,080 Speaker 1: You know, you want to talk about science, I want 1303 01:13:20,080 --> 01:13:21,640 Speaker 1: to talk about numbers. You know what the chances are 1304 01:13:21,680 --> 01:13:24,040 Speaker 1: that this guy who's wearing a mask, who's in this 1305 01:13:24,200 --> 01:13:29,040 Speaker 1: very large store that walks past this this woman who 1306 01:13:29,439 --> 01:13:31,479 Speaker 1: isn't you know, isn't at that moment wearing a mask, 1307 01:13:31,840 --> 01:13:34,240 Speaker 1: The chance that that he is going to get infected 1308 01:13:34,280 --> 01:13:36,840 Speaker 1: with COVID nineteen from this kind of an encounter is 1309 01:13:36,880 --> 01:13:41,240 Speaker 1: effectively zero. It's not it's not like a maybe, it's not. Oh, 1310 01:13:41,560 --> 01:13:44,920 Speaker 1: it's pretty much zero. You know. It's as close to 1311 01:13:45,080 --> 01:13:47,760 Speaker 1: zero as we can get in any realistic sense of 1312 01:13:47,840 --> 01:13:51,840 Speaker 1: science and data and probability. But he wants to start 1313 01:13:51,880 --> 01:13:54,639 Speaker 1: a big thing. He wants to chase her around and 1314 01:13:54,720 --> 01:13:56,320 Speaker 1: demand that she wear a mask. And he said something 1315 01:13:56,320 --> 01:13:58,960 Speaker 1: I think was very telling too. It was, we all 1316 01:13:59,040 --> 01:14:01,400 Speaker 1: have to wear a mask. So she asked to as well. 1317 01:14:01,680 --> 01:14:04,679 Speaker 1: There's a lot of that in all this too, there's 1318 01:14:04,680 --> 01:14:06,959 Speaker 1: a lot of we all have to suffer in this together, 1319 01:14:07,600 --> 01:14:11,439 Speaker 1: instead of saying, hmm, maybe this person's onto something. Maybe 1320 01:14:11,439 --> 01:14:13,800 Speaker 1: some of this is dumb, there's no need for us 1321 01:14:13,840 --> 01:14:16,960 Speaker 1: to really be doing it. Oh that's that's not the 1322 01:14:17,240 --> 01:14:20,720 Speaker 1: that's not the approach, that's not the view that has 1323 01:14:20,760 --> 01:14:27,600 Speaker 1: taken here. So this guy's indicative. I had someone approached 1324 01:14:27,600 --> 01:14:29,120 Speaker 1: me over the summer. Do you know how many cases 1325 01:14:29,160 --> 01:14:31,120 Speaker 1: there were in New York City this summer? Like none? 1326 01:14:31,720 --> 01:14:33,840 Speaker 1: There were a few one hundred. There's twenty million people 1327 01:14:33,840 --> 01:14:35,439 Speaker 1: in New York State. There were like a few hundred 1328 01:14:35,520 --> 01:14:38,320 Speaker 1: COVID cases at any time in New York. And I 1329 01:14:38,360 --> 01:14:39,920 Speaker 1: had some guy get up an eye face. I told 1330 01:14:39,960 --> 01:14:41,640 Speaker 1: him to call the health authorities. It's like, what is 1331 01:14:41,680 --> 01:14:44,960 Speaker 1: wrong with you? I'm not sick, and the chance of 1332 01:14:45,040 --> 01:14:48,800 Speaker 1: me being sick is, at that point in the summertime 1333 01:14:49,080 --> 01:14:52,519 Speaker 1: was like one in a million. And you're gonna harass 1334 01:14:52,600 --> 01:14:55,200 Speaker 1: me over this just because people can't think for themselves. 1335 01:14:55,200 --> 01:14:57,879 Speaker 1: This is what you see. There's so many weak willed, 1336 01:14:57,960 --> 01:15:02,880 Speaker 1: weak minded individuals out there, unable to control their anxiety, 1337 01:15:02,920 --> 01:15:05,959 Speaker 1: in their fear, and they just believe whatever the experts 1338 01:15:06,000 --> 01:15:09,800 Speaker 1: will tell them. The experts. Any intelligent person who who 1339 01:15:10,200 --> 01:15:14,320 Speaker 1: was thoughtful and has good judgment, knows that in most 1340 01:15:14,400 --> 01:15:18,680 Speaker 1: areas of critical decision making in public life or just 1341 01:15:18,760 --> 01:15:21,400 Speaker 1: life in general, you can find experts to tell you 1342 01:15:21,479 --> 01:15:25,320 Speaker 1: one thing, and you'll find experts to tell you another thing. 1343 01:15:26,320 --> 01:15:28,639 Speaker 1: That's just the way it is. It's just the way 1344 01:15:28,640 --> 01:15:32,840 Speaker 1: it goes. But no, they think this appeal to the experts. 1345 01:15:32,880 --> 01:15:36,639 Speaker 1: All the experts told me this thing. I'm so focused 1346 01:15:36,640 --> 01:15:39,000 Speaker 1: on what the experts say. That means that it shuts 1347 01:15:39,040 --> 01:15:41,519 Speaker 1: down all discussion. That means that there's no longer any 1348 01:15:41,520 --> 01:15:44,080 Speaker 1: reason whatsoever for us to ask any questions about this. 1349 01:15:45,600 --> 01:15:48,559 Speaker 1: I like when people ask questions. I like when they 1350 01:15:48,640 --> 01:15:51,840 Speaker 1: push back. I expect it. I think it's American. I 1351 01:15:52,000 --> 01:15:53,880 Speaker 1: even go to that place. I go to that extent. 1352 01:15:55,080 --> 01:15:57,040 Speaker 1: And so I don't know where that storre was. And 1353 01:15:57,080 --> 01:16:00,840 Speaker 1: this is a guy Nick the Greek restaurant on I 1354 01:16:00,880 --> 01:16:03,240 Speaker 1: can't I don't know if it's in California or New York. 1355 01:16:03,320 --> 01:16:08,920 Speaker 1: I think it's in California. This this exchange, and this 1356 01:16:08,960 --> 01:16:12,360 Speaker 1: one is also going viral today. Here's a guy who's 1357 01:16:12,400 --> 01:16:16,240 Speaker 1: just losing it with these these little bureaucrat health inspectors 1358 01:16:16,240 --> 01:16:19,280 Speaker 1: who show up and they're you know issuing citations and 1359 01:16:19,320 --> 01:16:22,920 Speaker 1: fines for this musical chairs game of Oh, we have 1360 01:16:23,000 --> 01:16:25,160 Speaker 1: new COVID restrictions. Now, oh, I gotta listen to the 1361 01:16:25,200 --> 01:16:29,640 Speaker 1: new COVID restrictions. Here's how here's how that went, and 1362 01:16:29,680 --> 01:16:32,320 Speaker 1: we're gonna play a good chunk of this for you, Producer, 1363 01:16:32,400 --> 01:16:39,240 Speaker 1: Mark hit It. I followed the rules. I continue to 1364 01:16:39,280 --> 01:16:42,800 Speaker 1: follow the rules, and you are still time after time 1365 01:16:42,880 --> 01:16:48,800 Speaker 1: are giving the citations. My business. What if I employees 1366 01:16:52,040 --> 01:16:56,320 Speaker 1: tableside just because the health departments have the whole process 1367 01:16:56,360 --> 01:17:00,160 Speaker 1: to go through. That takes a lot of that takes 1368 01:17:00,200 --> 01:17:07,000 Speaker 1: my pay. Who are you to make those decisions. I 1369 01:17:07,120 --> 01:17:09,600 Speaker 1: chose to cel tests by putting my tails outside. I 1370 01:17:09,720 --> 01:17:13,200 Speaker 1: be hearing it again. I never saw one single person outside. 1371 01:17:13,240 --> 01:17:16,200 Speaker 1: I did all pay out foot and delivery to what 1372 01:17:16,280 --> 01:17:19,200 Speaker 1: exactly I was supposed to be doing. That's exactly what 1373 01:17:19,320 --> 01:17:22,639 Speaker 1: I did. I did not break any end consuming the law. 1374 01:17:22,880 --> 01:17:27,000 Speaker 1: I did not bring any rule where there is breaking 1375 01:17:27,080 --> 01:17:31,280 Speaker 1: right now by operating without a comment because you guys 1376 01:17:31,280 --> 01:17:35,360 Speaker 1: put this close on the restaurant, right so you youause 1377 01:17:35,400 --> 01:17:37,000 Speaker 1: you for a second. Let's pause you for a second. 1378 01:17:37,320 --> 01:17:40,400 Speaker 1: So they change the rules constantly, and then they harass 1379 01:17:40,520 --> 01:17:42,760 Speaker 1: people that are trying to comply with the rules make 1380 01:17:42,760 --> 01:17:46,000 Speaker 1: their lives harder. And and then there's no like good 1381 01:17:46,040 --> 01:17:49,120 Speaker 1: faith exception. You're okay, you were trying to comply. We're 1382 01:17:49,120 --> 01:17:52,760 Speaker 1: not going to be paying the ass bureaucrats. We're actually 1383 01:17:52,840 --> 01:17:56,760 Speaker 1: going to allow you to live your life and to 1384 01:17:56,760 --> 01:17:58,360 Speaker 1: try to make a living and try to pay your 1385 01:17:58,360 --> 01:18:01,559 Speaker 1: bills and try to feed yourself. There's none of that. No, 1386 01:18:01,720 --> 01:18:05,439 Speaker 1: that that's that's not allowed. No. Instead, it's we're writing 1387 01:18:05,479 --> 01:18:10,000 Speaker 1: you up. You're not obeying the rules. Another citation here. 1388 01:18:10,080 --> 01:18:12,640 Speaker 1: Here you go. The rules keep changing. The rules are 1389 01:18:12,760 --> 01:18:16,080 Speaker 1: bull The rules are based on the whim of tyrants. 1390 01:18:17,040 --> 01:18:19,720 Speaker 1: K I like this guy. He keeps digging it. He's saying, look, 1391 01:18:19,920 --> 01:18:22,120 Speaker 1: I'm doing this stuff. You're saying now they want him. 1392 01:18:22,160 --> 01:18:24,639 Speaker 1: It sounds like they want him to wait for them 1393 01:18:24,640 --> 01:18:27,720 Speaker 1: to check to see if he's done the new thing 1394 01:18:27,760 --> 01:18:30,240 Speaker 1: they've told him to do before he can serve food again. 1395 01:18:31,240 --> 01:18:34,439 Speaker 1: What kind of idiocy is this? Go back play more. 1396 01:18:34,560 --> 01:18:37,800 Speaker 1: Let's hear it. Your own rule and you're getting by 1397 01:18:37,880 --> 01:18:42,720 Speaker 1: citation for your own rules for it. It's not that 1398 01:18:42,960 --> 01:18:47,800 Speaker 1: not here, So you gotta give me a closure citation 1399 01:18:47,880 --> 01:18:56,320 Speaker 1: based on that issue. Closures to closing. I'm not issuing 1400 01:18:56,360 --> 01:19:01,920 Speaker 1: the citation the closure the restaurant already it has been suspended. However, 1401 01:19:02,000 --> 01:19:05,760 Speaker 1: your refusal to close warrant a the country. I'm gonna 1402 01:19:05,800 --> 01:19:08,200 Speaker 1: do with my call. Aren't you gonna pay our rest? No, 1403 01:19:08,760 --> 01:19:11,720 Speaker 1: don't owe okay gon to pare her. I want to 1404 01:19:11,760 --> 01:19:14,000 Speaker 1: close it. I we need to reopen. You're not a man. 1405 01:19:14,080 --> 01:19:17,000 Speaker 1: I told you already he put every open today to 1406 01:19:17,200 --> 01:19:20,519 Speaker 1: be open right now. However, is that he she said 1407 01:19:20,880 --> 01:19:24,800 Speaker 1: that opens? Yeah, mistal steps the steps that you need 1408 01:19:24,800 --> 01:19:27,120 Speaker 1: to take to make sure that you can open your business. 1409 01:19:27,439 --> 01:19:31,000 Speaker 1: You couldn't have been you could have re open? How ready? 1410 01:19:31,080 --> 01:19:35,719 Speaker 1: How smith steps are listening in the records, I called 1411 01:19:35,760 --> 01:19:37,760 Speaker 1: the guy. The guys I spoke to the phone was 1412 01:19:37,800 --> 01:19:41,400 Speaker 1: a supervisor because he made in a stake. That's on me. 1413 01:19:41,840 --> 01:19:44,719 Speaker 1: He made a stake. I just recorded all my phone 1414 01:19:45,040 --> 01:19:47,400 Speaker 1: what he's said, what he did, he told me. I 1415 01:19:47,520 --> 01:19:50,080 Speaker 1: put it in writing to him on the email. I 1416 01:19:50,080 --> 01:19:52,240 Speaker 1: will follow the rules and I will not put my 1417 01:19:52,320 --> 01:19:56,280 Speaker 1: team was proud like you're kind of you're getting the gist. 1418 01:19:56,320 --> 01:19:59,679 Speaker 1: Aren't you a bunch of bureaucrats? Pay with your tax dollars? 1419 01:20:00,400 --> 01:20:03,120 Speaker 1: Harassing this guy, what what has he done wrong? You know, 1420 01:20:03,200 --> 01:20:06,559 Speaker 1: he's not serving rotten food to people and getting them sick. 1421 01:20:06,920 --> 01:20:09,120 Speaker 1: He's providing a service that the public wants. He's trying 1422 01:20:09,160 --> 01:20:13,479 Speaker 1: to feed his family by feeding the public. He's complying 1423 01:20:13,479 --> 01:20:15,720 Speaker 1: with all these rules. But they don't. They feel like 1424 01:20:15,800 --> 01:20:18,599 Speaker 1: he did the steps and didn't you know, check with 1425 01:20:18,640 --> 01:20:21,559 Speaker 1: them or something. I mean, and they're giving them a citation. 1426 01:20:21,600 --> 01:20:23,080 Speaker 1: They can't just show up and say, hey, man, look, 1427 01:20:23,160 --> 01:20:25,360 Speaker 1: we know this is a tough time. We know that, 1428 01:20:25,439 --> 01:20:27,280 Speaker 1: you know, everyone's doing the best they can. Could you 1429 01:20:27,360 --> 01:20:30,479 Speaker 1: just please Our job is to check in and we're 1430 01:20:30,479 --> 01:20:32,280 Speaker 1: trying to you know, keep people safe here. Just do 1431 01:20:32,360 --> 01:20:34,880 Speaker 1: these things and don't worry about it. We're not gonna 1432 01:20:34,920 --> 01:20:36,360 Speaker 1: we're not gonna write you up or anything. What else 1433 01:20:36,400 --> 01:20:38,240 Speaker 1: is please? You know, please get it? No, of course 1434 01:20:38,320 --> 01:20:42,920 Speaker 1: not that would be reasonable, right, And even that's annoyed. 1435 01:20:42,920 --> 01:20:45,160 Speaker 1: I say, like, that's not even reasonable. But at least 1436 01:20:45,240 --> 01:20:49,559 Speaker 1: that's that's making some effort to be decent human beings 1437 01:20:49,640 --> 01:20:53,600 Speaker 1: under the circumstances. At least, that's making some overture to 1438 01:20:53,800 --> 01:21:00,160 Speaker 1: sanity and normalcy and reasonableness. But no, these bureaucrats, they're 1439 01:21:00,200 --> 01:21:03,679 Speaker 1: on a total power trip. They get paid, they don't care. 1440 01:21:04,160 --> 01:21:08,320 Speaker 1: They're still they're gonna be ordering, you know, delivery from 1441 01:21:08,360 --> 01:21:10,720 Speaker 1: any number of play you know, seamless or dwor dash 1442 01:21:10,840 --> 01:21:15,040 Speaker 1: or whatever, from restaurants like this guy. And you know 1443 01:21:15,080 --> 01:21:18,200 Speaker 1: they feel like, well, one less restaurant. Who cares. We 1444 01:21:18,280 --> 01:21:23,000 Speaker 1: got plenty to choose from. No sympathy, no decency. This 1445 01:21:23,080 --> 01:21:25,880 Speaker 1: is what we're up against all across the country. Little 1446 01:21:26,000 --> 01:21:30,400 Speaker 1: armies of bureaucrats, little armies of imbeciles running around enacting 1447 01:21:30,439 --> 01:21:34,479 Speaker 1: the will of tyrants like Cuomo and Newsome and wit, 1448 01:21:34,640 --> 01:21:38,599 Speaker 1: mur and Murphy and Wolf. You know, just go down 1449 01:21:38,640 --> 01:21:44,160 Speaker 1: the list. Idiots who are ruining businesses, who are ruining 1450 01:21:44,200 --> 01:21:47,040 Speaker 1: people's lives over what, oh, to protect us. They're not 1451 01:21:47,160 --> 01:21:51,360 Speaker 1: protecting you from COVID. It's not working. All these rules 1452 01:21:51,360 --> 01:21:56,000 Speaker 1: they have, it doesn't work, doesn't get it done. They 1453 01:21:56,000 --> 01:21:58,519 Speaker 1: can pretend otherwise, but we all see the data, We 1454 01:21:58,560 --> 01:22:02,520 Speaker 1: see the mandates, we can look at the timelines. It 1455 01:22:02,640 --> 01:22:08,680 Speaker 1: is not working. So what do they do more of it? 1456 01:22:09,400 --> 01:22:12,960 Speaker 1: This is really a lesson in bureaucracy. This is really 1457 01:22:12,960 --> 01:22:16,479 Speaker 1: a lesson in why we have limited government, why we 1458 01:22:16,520 --> 01:22:20,280 Speaker 1: want to limit the government's power to inflict itself upon you. 1459 01:22:21,000 --> 01:22:24,200 Speaker 1: We're getting a very real schooling in that right now 1460 01:22:24,880 --> 01:22:26,599 Speaker 1: for people that are wondering. And you know, we used 1461 01:22:26,600 --> 01:22:28,880 Speaker 1: to think of, oh, the big threat is the federal 1462 01:22:28,920 --> 01:22:30,880 Speaker 1: government of the states will protect us. Not if you 1463 01:22:30,960 --> 01:22:35,640 Speaker 1: live in a blue tyrant state like New Yorker, California, 1464 01:22:35,680 --> 01:22:37,240 Speaker 1: and even those of you who live in Texas who 1465 01:22:37,240 --> 01:22:40,360 Speaker 1: are listening to this. Texas hasn't been great on COVID, 1466 01:22:40,400 --> 01:22:44,320 Speaker 1: it's just been okay. You know, Florida is really the 1467 01:22:44,400 --> 01:22:48,320 Speaker 1: model to pursue here, and Governor de Santis has been 1468 01:22:48,320 --> 01:22:51,800 Speaker 1: nothing but vilified by the media. As you know, he 1469 01:22:51,960 --> 01:22:55,160 Speaker 1: is successful in how he's handled this, and they hate 1470 01:22:55,200 --> 01:23:00,639 Speaker 1: him for being successful. That has been the approach that 1471 01:23:00,640 --> 01:23:04,800 Speaker 1: that's the way the media handles this stuff. That's what 1472 01:23:04,840 --> 01:23:10,120 Speaker 1: they do. I feel terrible for the owner of Nick 1473 01:23:10,560 --> 01:23:13,599 Speaker 1: the Greek Diner. I feel terrible for the woman who 1474 01:23:13,640 --> 01:23:15,880 Speaker 1: has some stranger and we had to cut it out. 1475 01:23:15,920 --> 01:23:19,639 Speaker 1: I mean, he was cursing at her. But until until 1476 01:23:19,800 --> 01:23:24,280 Speaker 1: we realize that our freedom is not coming back unless 1477 01:23:24,320 --> 01:23:30,320 Speaker 1: we fight for it, they will continue this nonsense. You're 1478 01:23:30,400 --> 01:23:33,080 Speaker 1: in the freedom mind. This is the Buck Sex and 1479 01:23:33,120 --> 01:23:40,080 Speaker 1: Show podcast. Senator Bernie Sanders has said he doesn't think 1480 01:23:40,080 --> 01:23:42,080 Speaker 1: the progressive movement has a big enough seat at the 1481 01:23:42,080 --> 01:23:44,040 Speaker 1: table with the Biden team. Do you agree with him? 1482 01:23:44,439 --> 01:23:47,439 Speaker 1: I do, and this is, you know, what we have 1483 01:23:47,520 --> 01:23:53,519 Speaker 1: been saying and asking for. We worked diligently in trying 1484 01:23:53,560 --> 01:23:56,200 Speaker 1: to make sure that the people understood that it was 1485 01:23:56,240 --> 01:24:00,800 Speaker 1: important for us to get rid of Trump, to have 1486 01:24:01,240 --> 01:24:03,680 Speaker 1: someone who was going to be partner with us in 1487 01:24:03,800 --> 01:24:07,720 Speaker 1: governing for progress in our country, and we continue to 1488 01:24:07,760 --> 01:24:11,439 Speaker 1: be hopeful in having that partnership as wen on behalf 1489 01:24:11,479 --> 01:24:13,240 Speaker 1: of our country. Are you unhappy with any of his 1490 01:24:13,360 --> 01:24:18,599 Speaker 1: contacts being holistically I am not. I think that they 1491 01:24:18,680 --> 01:24:24,840 Speaker 1: have been quite diligent in putting together a really well 1492 01:24:25,240 --> 01:24:29,479 Speaker 1: thought out transition team not progressive enough. I know that's 1493 01:24:29,479 --> 01:24:31,479 Speaker 1: a lot of ilhan om. Are you hearing for one day? 1494 01:24:31,520 --> 01:24:34,160 Speaker 1: But I thought you should. You should know that there's 1495 01:24:34,200 --> 01:24:38,600 Speaker 1: this complaint going on from the left of the Democrat 1496 01:24:38,640 --> 01:24:41,080 Speaker 1: Party or the left wing, the furthest left wing the 1497 01:24:41,080 --> 01:24:44,519 Speaker 1: Democrat Party that Biden is not yet hearing their voices. 1498 01:24:44,840 --> 01:24:47,040 Speaker 1: Let me tell you here's what I think is happening. 1499 01:24:48,000 --> 01:24:50,080 Speaker 1: I think that they are setting this up in the 1500 01:24:50,080 --> 01:24:53,800 Speaker 1: early stages so that they can present it. They're going 1501 01:24:53,840 --> 01:24:57,320 Speaker 1: to present this as, Oh, it's just good old blue 1502 01:24:57,320 --> 01:24:59,799 Speaker 1: collar Joe. You know, Joe Biden is not as socialist. 1503 01:24:59,840 --> 01:25:02,519 Speaker 1: Joe Biden's not a radical. You don't have to worry 1504 01:25:02,520 --> 01:25:06,200 Speaker 1: about good old Joe, right that that's gonna be the 1505 01:25:06,280 --> 01:25:09,120 Speaker 1: way that they set this whole thing up. That's gonna 1506 01:25:09,160 --> 01:25:11,280 Speaker 1: be the way that they're presenting this to the public. 1507 01:25:12,240 --> 01:25:17,480 Speaker 1: And then as soon as they go into the actual 1508 01:25:17,960 --> 01:25:22,439 Speaker 1: implementation phase of a Biden and I know, look, maybe 1509 01:25:22,479 --> 01:25:24,920 Speaker 1: it doesn't happen, but I mean, i'd ask any of 1510 01:25:24,920 --> 01:25:29,240 Speaker 1: you who are who are at this point still unwilling 1511 01:25:29,240 --> 01:25:31,360 Speaker 1: to unwilling to even talk about that or don't want 1512 01:25:31,360 --> 01:25:34,680 Speaker 1: to hear about it, what the percentage, what the likelihood 1513 01:25:34,760 --> 01:25:36,519 Speaker 1: is that it's not going to be a Biden administration. 1514 01:25:36,560 --> 01:25:37,840 Speaker 1: I'm really curious. I mean, I want to know what 1515 01:25:37,840 --> 01:25:41,360 Speaker 1: people think. They believe it it's it's gonna it's fifty fifty. Still, 1516 01:25:41,360 --> 01:25:45,800 Speaker 1: what do they think because I think it's about one um. 1517 01:25:46,360 --> 01:25:50,280 Speaker 1: That doesn't mean zero, but it means it's about so 1518 01:25:51,320 --> 01:25:52,679 Speaker 1: you know, you got about a one on one hundred 1519 01:25:52,760 --> 01:25:55,840 Speaker 1: shot here of this thing turning around at best. At 1520 01:25:55,880 --> 01:26:00,720 Speaker 1: best and in the meantime, they're mobilized, they're moving, they're 1521 01:26:00,720 --> 01:26:02,920 Speaker 1: setting people up, they're putting people in place. They're going 1522 01:26:02,960 --> 01:26:07,400 Speaker 1: forward with this so we can be as intransigent as 1523 01:26:07,400 --> 01:26:10,040 Speaker 1: we want. They're going to be swearing this guy that 1524 01:26:10,080 --> 01:26:12,080 Speaker 1: the system is going to swear this guy in on 1525 01:26:12,720 --> 01:26:15,360 Speaker 1: January twenty. That's going to happen. And I think that 1526 01:26:15,400 --> 01:26:20,560 Speaker 1: they're trying to present this as a moderate administration. I 1527 01:26:20,600 --> 01:26:22,160 Speaker 1: think they're trying to present this as, oh, you know, 1528 01:26:22,200 --> 01:26:25,520 Speaker 1: good old Joe. But it'll be just like the Obama administration. 1529 01:26:25,520 --> 01:26:27,760 Speaker 1: Remember the Obama administration. You had this guy who came 1530 01:26:27,800 --> 01:26:29,839 Speaker 1: in and he was supposed to be Obama, was supposed 1531 01:26:29,840 --> 01:26:33,639 Speaker 1: to be a great uniter, he was going to heal 1532 01:26:33,720 --> 01:26:36,920 Speaker 1: the country, he was gonna stop the rise of the seas, 1533 01:26:37,080 --> 01:26:41,360 Speaker 1: and you know, all this really pompous rhetoric around all 1534 01:26:41,360 --> 01:26:42,760 Speaker 1: the great things Obama is going to do. And then 1535 01:26:42,760 --> 01:26:46,640 Speaker 1: you had a pretty dogmatic, you know, liberal leftist, the 1536 01:26:46,720 --> 01:26:49,280 Speaker 1: most left wing guy in the United States Senate before 1537 01:26:49,280 --> 01:26:52,559 Speaker 1: it became the president, pushing as far as he could 1538 01:26:52,600 --> 01:26:54,840 Speaker 1: towards socialized medicine. And that's not the same thing as 1539 01:26:54,840 --> 01:26:58,400 Speaker 1: saying Obamacare is socialized medicine, but pushing as far as 1540 01:26:58,439 --> 01:27:01,200 Speaker 1: he conceivably could in that direction and get away with it. 1541 01:27:02,439 --> 01:27:05,880 Speaker 1: They wanted amnesty, they weren't able to get it at 1542 01:27:05,920 --> 01:27:08,400 Speaker 1: that point in time. But you know, when you talk 1543 01:27:08,439 --> 01:27:14,719 Speaker 1: about the left wing policy items, left wing agenda items 1544 01:27:14,920 --> 01:27:19,960 Speaker 1: that ilhan Omar wants, Biden is going to be pretty 1545 01:27:19,960 --> 01:27:22,200 Speaker 1: close to where they are. And a lot of this 1546 01:27:22,280 --> 01:27:26,040 Speaker 1: stuff fifteen dollars minimum wage, Biden administration is going to 1547 01:27:26,120 --> 01:27:29,720 Speaker 1: want to go for that. Forgiving student debt, I think 1548 01:27:29,760 --> 01:27:32,840 Speaker 1: you're going to have some version of that via executive order, 1549 01:27:32,880 --> 01:27:35,519 Speaker 1: even from Joe Biden. I'm gonna say, all right, we're 1550 01:27:35,520 --> 01:27:37,880 Speaker 1: gonna wave debt for everybody who has, you know, less 1551 01:27:37,880 --> 01:27:40,800 Speaker 1: than who has a fifty thousand of debt ten thousand, 1552 01:27:40,880 --> 01:27:42,720 Speaker 1: or they'll come up with some formulation, let's just wave 1553 01:27:42,720 --> 01:27:45,759 Speaker 1: it away. So I don't want anyone to be fooled 1554 01:27:45,760 --> 01:27:49,160 Speaker 1: while there. They want you to believe that Biden is 1555 01:27:49,200 --> 01:27:51,479 Speaker 1: a moderate and a centrist, and I do think at 1556 01:27:51,479 --> 01:27:55,400 Speaker 1: some level he will be boring. But a lot of 1557 01:27:55,439 --> 01:27:59,080 Speaker 1: bureaucrats that push terrible policies are boring. Doesn't mean that 1558 01:27:59,120 --> 01:28:03,040 Speaker 1: they aren't all so a threat doesn't mean that they aren't. Also, 1559 01:28:03,960 --> 01:28:10,280 Speaker 1: enormously problematic, and Omar and AOC, their whole game is 1560 01:28:10,280 --> 01:28:12,759 Speaker 1: going to be the left wing and the Bernie Sanders. 1561 01:28:12,960 --> 01:28:15,360 Speaker 1: It really is still the Sanders wing of the Democrat Party. 1562 01:28:15,400 --> 01:28:18,479 Speaker 1: Their game is going to be telling everybody that they're not, 1563 01:28:18,800 --> 01:28:21,800 Speaker 1: you know, they're not progressive enough in the Biden White House, 1564 01:28:22,760 --> 01:28:25,280 Speaker 1: that they're not pushing hard of they're not radical enough. 1565 01:28:25,960 --> 01:28:28,559 Speaker 1: But they know that they're never going to get all 1566 01:28:28,600 --> 01:28:31,640 Speaker 1: the things that they want, and so their role in 1567 01:28:31,720 --> 01:28:35,400 Speaker 1: all of this is to play be a foil in 1568 01:28:35,400 --> 01:28:38,880 Speaker 1: a sense to Biden, to provide him with the oh, 1569 01:28:38,920 --> 01:28:44,040 Speaker 1: I'm not as crazy as the AOC wing, I'm a moderate. Meanwhile, 1570 01:28:44,040 --> 01:28:47,200 Speaker 1: in reality, Biden's going to be, you know, getting them 1571 01:28:48,600 --> 01:28:52,160 Speaker 1: seventy five percent of the way on all these positions 1572 01:28:52,160 --> 01:28:54,599 Speaker 1: that AOC and the and the far left Democrats want. 1573 01:28:54,640 --> 01:28:57,360 Speaker 1: So that's I think that's going to be a perception 1574 01:28:57,479 --> 01:28:59,600 Speaker 1: versus reality gap that we're going to have to be 1575 01:28:59,640 --> 01:29:03,040 Speaker 1: aware of them. We're going to have to address you're 1576 01:29:03,600 --> 01:29:05,200 Speaker 1: you know, you're not going to have the media being 1577 01:29:05,240 --> 01:29:08,040 Speaker 1: honest at all about what's going on with the Biden administration. 1578 01:29:08,040 --> 01:29:09,960 Speaker 1: Mean that that much is quite clear. We all are 1579 01:29:10,000 --> 01:29:13,080 Speaker 1: aware of that. Right. I mean, that's that's the understatement 1580 01:29:13,120 --> 01:29:14,640 Speaker 1: of the year. The media is not going to be 1581 01:29:14,640 --> 01:29:17,400 Speaker 1: covering this in any way that tells you they're not 1582 01:29:17,400 --> 01:29:19,200 Speaker 1: going to tell you anything with the Biden administration. The 1583 01:29:19,200 --> 01:29:24,160 Speaker 1: Biden administration doesn't want you to know, and we therefore 1584 01:29:24,200 --> 01:29:25,400 Speaker 1: are going to be the ones who have to pick 1585 01:29:25,479 --> 01:29:28,719 Speaker 1: up the slack and try to hold them to account 1586 01:29:28,720 --> 01:29:30,639 Speaker 1: and try to speak the truth about what's really going on. 1587 01:29:31,240 --> 01:29:34,280 Speaker 1: And I think you're going to have a more left 1588 01:29:34,280 --> 01:29:36,559 Speaker 1: wing Biden administration than a lot of people even right 1589 01:29:36,600 --> 01:29:41,600 Speaker 1: now on the right can can foresee or will publicly say. 1590 01:29:41,640 --> 01:29:45,120 Speaker 1: Thanks for listening to The bus Essen Show podcasts. Remember 1591 01:29:45,160 --> 01:29:48,920 Speaker 1: to subscribe on Apple Podcasts, the iHeartRadio app, or wherever 1592 01:29:49,000 --> 01:30:02,160 Speaker 1: you get your podcasts. Rock and roll. Fellow patriots, we 1593 01:30:02,280 --> 01:30:16,840 Speaker 1: made ours go up to eleven. It's time for roll Call. 1594 01:30:17,600 --> 01:30:22,320 Speaker 1: Facebook dot com, slash buck Sexton Team Bucket, iHeartMedia dot 1595 01:30:22,320 --> 01:30:25,720 Speaker 1: com for the Roll Call reasons, and I'm on Instagram 1596 01:30:25,720 --> 01:30:28,800 Speaker 1: buck Sexton, please follow me there. We got stories up 1597 01:30:28,800 --> 01:30:34,360 Speaker 1: on buck Sexton dot com today about the agbar stepping 1598 01:30:34,400 --> 01:30:36,920 Speaker 1: down and about all the all the things I talked 1599 01:30:36,920 --> 01:30:38,519 Speaker 1: about here in the show. We put news stories up 1600 01:30:38,520 --> 01:30:42,320 Speaker 1: so we go to buck Sexton dot com and with it. 1601 01:30:43,280 --> 01:30:50,439 Speaker 1: Let us get to it, shall we, Madeline Kaiken? Actually 1602 01:30:50,479 --> 01:30:52,200 Speaker 1: not before we get before you to that producer, Mark. 1603 01:30:52,200 --> 01:30:53,719 Speaker 1: How are you doing, buddy? How are you feeling? You're ready? 1604 01:30:53,720 --> 01:30:56,479 Speaker 1: You're ready for the vacation coming up here? I'm very ready. 1605 01:30:56,520 --> 01:30:58,519 Speaker 1: It will be a nice time to rest and relax 1606 01:30:58,560 --> 01:31:01,679 Speaker 1: a little bit. Yeah, I think I think a lot 1607 01:31:01,760 --> 01:31:03,800 Speaker 1: of sleep is going to be what people really need 1608 01:31:03,880 --> 01:31:07,000 Speaker 1: over the vacation. I think that sounds great. Oh yeah, 1609 01:31:07,000 --> 01:31:09,559 Speaker 1: I'm gonna spend a lot of it in bed. What's 1610 01:31:09,560 --> 01:31:13,000 Speaker 1: on the what's on the Netflix queue to watch list? 1611 01:31:14,280 --> 01:31:16,200 Speaker 1: I think my wife and I just agreed to be 1612 01:31:16,200 --> 01:31:19,679 Speaker 1: want to watch There's a Challenger documentary out. It's about 1613 01:31:19,720 --> 01:31:22,599 Speaker 1: the spaceship. Yes, that looked very interesting and I've had 1614 01:31:22,600 --> 01:31:25,280 Speaker 1: a couple of friends tell me that it was really good, 1615 01:31:25,280 --> 01:31:28,120 Speaker 1: So I think that's next up on the docket. That 1616 01:31:28,200 --> 01:31:30,719 Speaker 1: sounds cool, im. I'd actually watched that with the Snow Princess. Yeah, 1617 01:31:30,800 --> 01:31:33,080 Speaker 1: it looks I saw the preview. It looked really cool 1618 01:31:33,560 --> 01:31:35,640 Speaker 1: and I wasn't alive during it, so it'll be kind 1619 01:31:35,640 --> 01:31:39,040 Speaker 1: of a history lesson for me. Yep, yep, yep. Yeah, 1620 01:31:39,040 --> 01:31:41,040 Speaker 1: it's amazing when you when you were in like high school, 1621 01:31:41,080 --> 01:31:44,760 Speaker 1: everyone had cell phones, didn't they. Yes, I got my 1622 01:31:44,800 --> 01:31:48,559 Speaker 1: first time, my first cell phone in middle school. Wow. Yeah. 1623 01:31:48,720 --> 01:31:50,040 Speaker 1: When I was in high school, if you had a 1624 01:31:50,080 --> 01:31:54,280 Speaker 1: cell phone, you were like really baller, you were really cool, 1625 01:31:54,320 --> 01:31:57,200 Speaker 1: were like Zach Morris. Yeah, exactly, you had it looked 1626 01:31:57,240 --> 01:32:00,320 Speaker 1: like you were calling in an airstrike in Vietnam or something. 1627 01:32:00,360 --> 01:32:02,679 Speaker 1: It was a long you know, the phones were very different. 1628 01:32:03,200 --> 01:32:05,400 Speaker 1: The star tack was the was the model as a 1629 01:32:05,439 --> 01:32:08,800 Speaker 1: motor rolla phone, I remember, And those were the first 1630 01:32:08,800 --> 01:32:12,759 Speaker 1: phones that you saw in really widespread usage that everyone 1631 01:32:12,840 --> 01:32:15,559 Speaker 1: just wanted to have a star tack. And it's funny 1632 01:32:15,560 --> 01:32:19,240 Speaker 1: because now they look like something from ancient times. Right. 1633 01:32:19,360 --> 01:32:22,360 Speaker 1: Ever since the advent of smartphones that I remember, I 1634 01:32:22,439 --> 01:32:24,240 Speaker 1: had a startak. I think I had one senior year 1635 01:32:24,840 --> 01:32:26,960 Speaker 1: and you had to be very tight on your cell 1636 01:32:27,000 --> 01:32:29,280 Speaker 1: phone minutes, right, if you used if you went over, 1637 01:32:29,800 --> 01:32:31,880 Speaker 1: you might have had one hundred minutes a month or something, 1638 01:32:31,920 --> 01:32:33,320 Speaker 1: and if you went over, it was like a dollar 1639 01:32:33,400 --> 01:32:35,920 Speaker 1: a minute. You know, this is just this crazy world. 1640 01:32:36,040 --> 01:32:37,840 Speaker 1: Do you ever think about how many minutes you're on 1641 01:32:37,840 --> 01:32:40,479 Speaker 1: the phone anymore? No, not for this second. This used 1642 01:32:40,479 --> 01:32:42,160 Speaker 1: to be a thing. I mean you could run up 1643 01:32:42,160 --> 01:32:44,280 Speaker 1: if you called someone long distance, or if you call 1644 01:32:44,360 --> 01:32:47,000 Speaker 1: the family member overseas, you could have like a three 1645 01:32:47,120 --> 01:32:49,559 Speaker 1: hundred dollar phone call. That was a thing that would happen. 1646 01:32:50,920 --> 01:32:53,880 Speaker 1: You know, absolutely insane to think about that. You think 1647 01:32:53,880 --> 01:32:55,320 Speaker 1: about this. Now we got Skype, we got all these 1648 01:32:55,320 --> 01:32:57,320 Speaker 1: you can talk for free of all over the place. 1649 01:32:57,600 --> 01:33:01,040 Speaker 1: We have instantaneous communication. That's that's pretty much close to free. 1650 01:33:01,560 --> 01:33:05,360 Speaker 1: Certainly not paying tolls the way you used to. And 1651 01:33:05,439 --> 01:33:07,040 Speaker 1: you know, it was a common thing you'd go to, 1652 01:33:07,600 --> 01:33:09,600 Speaker 1: you'd go to places that you'd you'd say, oh, can 1653 01:33:09,640 --> 01:33:11,040 Speaker 1: I use the phone? They'd always say, oh is it 1654 01:33:11,080 --> 01:33:14,160 Speaker 1: long distance? Long distance didn't mean hey, are you gonna 1655 01:33:14,200 --> 01:33:17,160 Speaker 1: call like Shanghai. I mean, obviously that would count, but 1656 01:33:17,240 --> 01:33:20,280 Speaker 1: it was like, you're not gonna call your relatives at Ohio, 1657 01:33:20,360 --> 01:33:22,400 Speaker 1: are you? You know, like you couldn't do that because 1658 01:33:22,400 --> 01:33:26,599 Speaker 1: you're going to run up the tab. So I remember, 1659 01:33:26,640 --> 01:33:30,040 Speaker 1: imagine this pandemic without cell phones and technology and stuff. Oh, 1660 01:33:30,400 --> 01:33:33,920 Speaker 1: I actually think and I should bring this up more often. 1661 01:33:34,000 --> 01:33:35,840 Speaker 1: I think that if we didn't live in a time 1662 01:33:36,560 --> 01:33:43,200 Speaker 1: of so much instantaneous gratification, abundance and connectivity. That if 1663 01:33:43,200 --> 01:33:46,120 Speaker 1: we couldn't have people doing zoom calls from their couch, 1664 01:33:46,760 --> 01:33:50,680 Speaker 1: ordering from one hundred different online restaurants, having anything they 1665 01:33:50,720 --> 01:33:53,880 Speaker 1: want to deliver to their front door by Amazon. You know, 1666 01:33:54,120 --> 01:33:56,040 Speaker 1: if we didn't have all that, I think that there 1667 01:33:56,040 --> 01:33:58,720 Speaker 1: would be far more pushback on on what's going on. 1668 01:33:59,640 --> 01:34:02,479 Speaker 1: You know. Could you imagine if during the lockdown, all 1669 01:34:02,520 --> 01:34:05,040 Speaker 1: you could do was you had like ten channels of 1670 01:34:05,080 --> 01:34:07,800 Speaker 1: TV to watch. You could only cook for yourself, and 1671 01:34:07,800 --> 01:34:10,280 Speaker 1: you had to just I don't know, read books. Yeah, 1672 01:34:10,280 --> 01:34:12,240 Speaker 1: you only had the books that were on your bookshelf too. 1673 01:34:12,240 --> 01:34:15,679 Speaker 1: There was nothing like a kindle, that's right, No Kindle. No, 1674 01:34:16,000 --> 01:34:18,080 Speaker 1: you know, you couldn't go to a library, libraries, clothes, 1675 01:34:18,120 --> 01:34:19,160 Speaker 1: not that I mean, I don't know who goes to 1676 01:34:19,200 --> 01:34:22,240 Speaker 1: libraries anymore. But I actually have a library membership because 1677 01:34:22,240 --> 01:34:26,880 Speaker 1: you can get free Kindle books, any books. Really. Yeah, 1678 01:34:26,920 --> 01:34:30,120 Speaker 1: I was unaware of that. So these are these are 1679 01:34:30,160 --> 01:34:32,519 Speaker 1: the changes that have happened over time. And I remember, 1680 01:34:32,600 --> 01:34:34,439 Speaker 1: I remember graduated from high school. I think I think 1681 01:34:34,439 --> 01:34:38,759 Speaker 1: the year two thousand was the the absolute pinnacle of 1682 01:34:39,640 --> 01:34:41,280 Speaker 1: I think the your two thousand was the pinnacle of 1683 01:34:41,320 --> 01:34:45,720 Speaker 1: human technology. Convenient communication. You could reach people, but we 1684 01:34:45,720 --> 01:34:48,599 Speaker 1: weren't all there wasn't the social media stuff. We weren't 1685 01:34:48,640 --> 01:34:51,280 Speaker 1: all online all the time. You still had to go 1686 01:34:51,320 --> 01:34:54,200 Speaker 1: to things to buy things, you know, so you could 1687 01:34:54,240 --> 01:34:56,519 Speaker 1: reach somebody you needed to reach, but you had to 1688 01:34:56,560 --> 01:34:59,400 Speaker 1: want to reach them. And there wasn't even really a 1689 01:34:59,479 --> 01:35:02,680 Speaker 1: text mess sage was around, but it wasn't wasn't the 1690 01:35:02,720 --> 01:35:04,640 Speaker 1: thing that it is now. I know a lot of 1691 01:35:04,640 --> 01:35:06,840 Speaker 1: people that don't want to respond to voicemails or even 1692 01:35:06,880 --> 01:35:09,320 Speaker 1: talk on the phone. They'll just respond to text. Oh yeah, 1693 01:35:09,720 --> 01:35:11,599 Speaker 1: if somebody calls me, I'm like, why are you calling me? 1694 01:35:12,080 --> 01:35:15,240 Speaker 1: Just text me? Yeah, texting. You're part of this part 1695 01:35:15,240 --> 01:35:18,439 Speaker 1: of this generation, you and these twenty something young uns. 1696 01:35:18,920 --> 01:35:22,760 Speaker 1: I swear you whipper snappers. I swear it's crazy. I'm 1697 01:35:22,800 --> 01:35:26,120 Speaker 1: pushing thirty. Now, Buck, let's not go oh my gosh. Yeah, no, 1698 01:35:26,240 --> 01:35:30,040 Speaker 1: you're actually married too, So there's exactly all right. Let's 1699 01:35:30,040 --> 01:35:34,840 Speaker 1: get to it, Madelin, Right, Hello Bucket producer, Mark Buck. 1700 01:35:34,960 --> 01:35:37,320 Speaker 1: You gotta get on this air frier thing. Go get 1701 01:35:37,360 --> 01:35:39,320 Speaker 1: one now. I live out in a remote place with 1702 01:35:39,360 --> 01:35:42,040 Speaker 1: my extended family. This has been the best thing ever 1703 01:35:42,120 --> 01:35:45,080 Speaker 1: to hit the kitchen easy cooking and clean up. We 1704 01:35:45,160 --> 01:35:48,840 Speaker 1: have three. Now you're eating healthier without sacrificing taste. Like 1705 01:35:48,920 --> 01:35:52,720 Speaker 1: you're like, you're like, you are eating healthier. They make 1706 01:35:52,760 --> 01:35:55,080 Speaker 1: smaller ones for one or two people as well. I 1707 01:35:55,200 --> 01:35:56,960 Speaker 1: listen to your show almost every day. I appreciate the 1708 01:35:57,040 --> 01:35:59,920 Speaker 1: information shields up shields, I hold the line, lock and loaded. 1709 01:36:00,040 --> 01:36:03,680 Speaker 1: Whatever else you did, say, well, thank you, Madeline, And yes, 1710 01:36:03,720 --> 01:36:06,680 Speaker 1: those are some of our favorite phrases. So Mark, when 1711 01:36:06,680 --> 01:36:09,240 Speaker 1: you use the air fryer, do you have to like, 1712 01:36:09,880 --> 01:36:11,880 Speaker 1: do you have to oil or salt up the food 1713 01:36:12,000 --> 01:36:15,240 Speaker 1: or do you just put it in um? It depends 1714 01:36:15,240 --> 01:36:19,040 Speaker 1: on the recipe you have. Sometimes you'll spray like a 1715 01:36:19,080 --> 01:36:22,000 Speaker 1: little cooking spray in the thing just so nothing sticks. 1716 01:36:22,000 --> 01:36:24,160 Speaker 1: But no, you don't really have to. And obviously you see, 1717 01:36:24,160 --> 01:36:25,760 Speaker 1: you know, if you're making chicken season it like you 1718 01:36:25,800 --> 01:36:28,720 Speaker 1: normally would, you can you can do chicken in the 1719 01:36:28,760 --> 01:36:31,559 Speaker 1: air fryer. Yeah, you can do anything in their fryar. 1720 01:36:31,960 --> 01:36:33,920 Speaker 1: I told you I made you know, chicken cutlets. I 1721 01:36:33,960 --> 01:36:35,640 Speaker 1: made chicken cutlets in the air friar. Yeah, you just 1722 01:36:35,640 --> 01:36:37,439 Speaker 1: have to clean it. Does it take a really long 1723 01:36:37,479 --> 01:36:41,599 Speaker 1: time to cook? No? I think it's actually a little 1724 01:36:41,880 --> 01:36:45,720 Speaker 1: less than the oven would be because you're cooking from 1725 01:36:45,760 --> 01:36:48,960 Speaker 1: all directions. So I gotta tell you the snow Princess, 1726 01:36:49,120 --> 01:36:52,280 Speaker 1: I may get her. I may get her a gift 1727 01:36:52,400 --> 01:36:54,040 Speaker 1: that's similar to an air fry. I want to say 1728 01:36:54,040 --> 01:36:55,719 Speaker 1: it on air because then it won't be a surprise 1729 01:36:55,800 --> 01:36:57,920 Speaker 1: for her. But I'm worried that she'll use it to 1730 01:36:57,920 --> 01:36:59,960 Speaker 1: make delicious things that will make me even chubby or 1731 01:37:00,160 --> 01:37:02,960 Speaker 1: over this winter than I would otherwise be. I don't 1732 01:37:02,960 --> 01:37:06,760 Speaker 1: think that's a worry. Yeah, that sounds like a good thing. Well, 1733 01:37:06,760 --> 01:37:08,599 Speaker 1: I mean, we are kind of heading into this period 1734 01:37:08,640 --> 01:37:11,880 Speaker 1: here whereverone's just going to be hunkering down. You know, 1735 01:37:11,960 --> 01:37:13,880 Speaker 1: I hope they don't close. At least at least with 1736 01:37:13,920 --> 01:37:15,960 Speaker 1: the gym. There's like some hope that I can still 1737 01:37:16,640 --> 01:37:18,800 Speaker 1: fit into my clothing. At least with the gym, there's 1738 01:37:18,840 --> 01:37:21,719 Speaker 1: sub hope. But you know, they're making it hard, making 1739 01:37:21,720 --> 01:37:25,559 Speaker 1: it challenging these days, that's for sure. So we will 1740 01:37:25,560 --> 01:37:29,559 Speaker 1: continue to look at this stuff, all right, Joe Happy 1741 01:37:29,600 --> 01:37:32,720 Speaker 1: Holiday's debut. Producer Mark and everyone else responsible for the 1742 01:37:32,720 --> 01:37:36,160 Speaker 1: Freedom Hunt radio excellence, Well you're talking to him, it's bucking, producer, Mark. 1743 01:37:36,600 --> 01:37:39,080 Speaker 1: I was thinking about your discussion of Joe Biden dropping 1744 01:37:39,120 --> 01:37:42,000 Speaker 1: the doctor, it occurs to me that, in light of 1745 01:37:42,000 --> 01:37:44,519 Speaker 1: how this election went, perhaps Missus Biden should be referred 1746 01:37:44,560 --> 01:37:49,040 Speaker 1: to as a as farce Lady Shields. Hi, thanks for 1747 01:37:49,080 --> 01:37:54,160 Speaker 1: all you do well. Joe points for creativity. Man. I 1748 01:37:54,160 --> 01:37:57,000 Speaker 1: don't think anyone's gonna necessarily call her farce lady, though. 1749 01:37:57,040 --> 01:38:00,759 Speaker 1: I think that's probably not going to happen, NA gonna happen. 1750 01:38:01,479 --> 01:38:03,000 Speaker 1: Did you did you call did you go to it 1751 01:38:03,080 --> 01:38:04,960 Speaker 1: like one of those, you know, kind of hippie dippie 1752 01:38:04,960 --> 01:38:07,200 Speaker 1: schools mark where you called your your teachers by their 1753 01:38:07,240 --> 01:38:12,240 Speaker 1: first names, like college or high school high school. No, 1754 01:38:12,920 --> 01:38:15,080 Speaker 1: there's some places where they do that, you know, they 1755 01:38:15,160 --> 01:38:17,080 Speaker 1: call teachers by the first name. I'm just like, I 1756 01:38:17,080 --> 01:38:19,160 Speaker 1: don't know about that. I used to go with mister, 1757 01:38:19,400 --> 01:38:23,080 Speaker 1: mam sir. You know that's usually the Yeah. I would 1758 01:38:23,080 --> 01:38:25,360 Speaker 1: go with mister whoever the teacher is, or missus whoever 1759 01:38:25,439 --> 01:38:29,679 Speaker 1: the teacher is their name, Yeah, yeah, you know that's 1760 01:38:29,760 --> 01:38:32,080 Speaker 1: the I have had people tell me that I call 1761 01:38:32,200 --> 01:38:34,799 Speaker 1: them I've had I've had women. If you say mam too, 1762 01:38:35,560 --> 01:38:38,200 Speaker 1: they they think it's like an agist thing, and I 1763 01:38:38,240 --> 01:38:41,720 Speaker 1: feel like, you say mam to anybody. I feel like 1764 01:38:41,760 --> 01:38:44,439 Speaker 1: that's a respectful way to go. My father in law 1765 01:38:44,640 --> 01:38:46,599 Speaker 1: once got really mad at him for calling him sir, 1766 01:38:47,080 --> 01:38:49,200 Speaker 1: really mad at me for calling him sir because he 1767 01:38:49,200 --> 01:38:51,599 Speaker 1: said a team made it. It It made him sound old. Yeah, 1768 01:38:51,640 --> 01:38:55,200 Speaker 1: I've heard that before too. I think it's funny. Occasionally 1769 01:38:55,200 --> 01:38:57,400 Speaker 1: people will reach out to me and they'll want like 1770 01:38:57,439 --> 01:38:59,759 Speaker 1: their son or something, will want, you know, a family 1771 01:38:59,760 --> 01:39:01,680 Speaker 1: friends and will want career advice or whatever. And I 1772 01:39:01,840 --> 01:39:03,680 Speaker 1: was laughing when they call me sir. I'm like, no, no, 1773 01:39:03,680 --> 01:39:05,240 Speaker 1: no, no no, no, like you call me buck, We're gonna 1774 01:39:05,439 --> 01:39:07,960 Speaker 1: do it sir likes, but I call it bed in fairness, 1775 01:39:08,000 --> 01:39:10,639 Speaker 1: I call everybody else sir. Yeah. So now that you're 1776 01:39:10,640 --> 01:39:13,200 Speaker 1: almost forty, you're gonna start getting called sir. I guess 1777 01:39:13,240 --> 01:39:15,120 Speaker 1: I'm gonna start getting called Oh my gosh, I am 1778 01:39:15,880 --> 01:39:18,840 Speaker 1: certainly doesn't help. Yeah, I'm gonna start getting called sir. 1779 01:39:18,880 --> 01:39:22,320 Speaker 1: I think that's real. All right, Well, let's see your 1780 01:39:22,360 --> 01:39:25,880 Speaker 1: Bob is up next. What's up, bob? Hey? Buck? Could 1781 01:39:25,880 --> 01:39:28,160 Speaker 1: you help out? I'm sorry, you could help out a 1782 01:39:28,160 --> 01:39:33,400 Speaker 1: lot of restaurant owners by publicizing this very simple idea. 1783 01:39:33,520 --> 01:39:36,400 Speaker 1: They should put a sign on their restaurants saying indoor 1784 01:39:36,600 --> 01:39:40,559 Speaker 1: dining is restricted to COVID nineteen survivors and those who 1785 01:39:40,640 --> 01:39:43,400 Speaker 1: have been vaccinated for more than two months, the health 1786 01:39:43,400 --> 01:39:46,920 Speaker 1: departments would could have no objections. There are millions of 1787 01:39:46,960 --> 01:39:49,400 Speaker 1: people who have survived COVID and would love to have 1788 01:39:49,479 --> 01:39:52,639 Speaker 1: a dinner out night. Their restaurants would at least relative, 1789 01:39:52,680 --> 01:39:55,000 Speaker 1: would be relatively full, and their livelihoods more secure. Keep 1790 01:39:55,080 --> 01:39:57,840 Speaker 1: up the great work, Buck, So, Bob, I agree with 1791 01:39:57,960 --> 01:40:00,559 Speaker 1: the sentiment here. I agree with what you are saying. 1792 01:40:02,640 --> 01:40:09,920 Speaker 1: But you know, the truth here is that they will 1793 01:40:09,960 --> 01:40:17,360 Speaker 1: not allow they will not allow it to be an 1794 01:40:17,400 --> 01:40:20,120 Speaker 1: honor system. You know, they're not going to say, Okay, 1795 01:40:20,520 --> 01:40:23,519 Speaker 1: you claim that you got vaccinated, so you because there 1796 01:40:23,520 --> 01:40:26,559 Speaker 1: will be people who lie about that. Obviously, it would 1797 01:40:26,560 --> 01:40:28,040 Speaker 1: be very tempting for a lot of people not to 1798 01:40:28,040 --> 01:40:29,960 Speaker 1: lie about it, who don't believe in all this crap 1799 01:40:30,000 --> 01:40:32,000 Speaker 1: that we're being made to do all the time. So 1800 01:40:32,040 --> 01:40:34,240 Speaker 1: they're not going to give you that ability. They're gonna 1801 01:40:34,240 --> 01:40:37,160 Speaker 1: want everyone to mask until everyone is not forced to 1802 01:40:37,240 --> 01:40:39,240 Speaker 1: mask anymore, for example. That's going to be the way 1803 01:40:39,280 --> 01:40:43,599 Speaker 1: this goes. And so your idea for letting people who 1804 01:40:43,640 --> 01:40:47,320 Speaker 1: have survived COVID have more access to dining. It makes 1805 01:40:47,320 --> 01:40:51,800 Speaker 1: sense from a science and medicine perspective, but remember this 1806 01:40:51,880 --> 01:40:57,000 Speaker 1: is being pushed by politics. This isn't being pushed by 1807 01:40:57,040 --> 01:40:59,640 Speaker 1: just a sober look at the data and what is 1808 01:40:59,680 --> 01:41:01,840 Speaker 1: fact school, what is accurate That there are a lot 1809 01:41:01,840 --> 01:41:05,599 Speaker 1: of political considerations coming into all of this. So that's 1810 01:41:05,880 --> 01:41:08,120 Speaker 1: that's what I would say about the restaurant idea you 1811 01:41:08,160 --> 01:41:10,880 Speaker 1: bring you. But I appreciate you writing Bob, I, I 1812 01:41:11,000 --> 01:41:12,840 Speaker 1: thank you for sharing your thoughts on this. When we'll 1813 01:41:12,840 --> 01:41:14,200 Speaker 1: continue to try to come up with things. I mean, 1814 01:41:14,320 --> 01:41:17,280 Speaker 1: I do believe that there's going to be some movement 1815 01:41:17,320 --> 01:41:20,639 Speaker 1: I've said this before where people who get vaccinated will 1816 01:41:20,680 --> 01:41:24,240 Speaker 1: wear like a yellow you know, wrist band or something 1817 01:41:24,360 --> 01:41:26,639 Speaker 1: that's so so that then they will And you'd say, well, 1818 01:41:26,640 --> 01:41:29,240 Speaker 1: it shouldn't come to that. Yeah, but if you're vaccinated, 1819 01:41:29,280 --> 01:41:31,360 Speaker 1: don't you want to not be harassed in public, if 1820 01:41:31,400 --> 01:41:33,680 Speaker 1: you don't want to wear a mask anymore? I mean, 1821 01:41:33,680 --> 01:41:37,439 Speaker 1: shouldn't there be some benefit for people that that, at 1822 01:41:37,479 --> 01:41:40,639 Speaker 1: least according to the system and the science, are at 1823 01:41:40,640 --> 01:41:44,080 Speaker 1: basically no risk anymore of getting or spreaded COVID spreading COVID. 1824 01:41:44,479 --> 01:41:46,240 Speaker 1: But maybe other people are going to say even people 1825 01:41:46,240 --> 01:41:49,760 Speaker 1: that oppose these mandates and lockdowns will say, well, we are. 1826 01:41:50,120 --> 01:41:51,760 Speaker 1: We should all be in it together when we are 1827 01:41:51,800 --> 01:41:54,559 Speaker 1: free of it too, And there shouldn't be some tiered 1828 01:41:54,600 --> 01:41:57,439 Speaker 1: system where some people, you know, can get away with 1829 01:41:57,479 --> 01:42:00,280 Speaker 1: this and other and others can't. I don't know. It's 1830 01:42:00,400 --> 01:42:05,360 Speaker 1: very complicated. There's a lot going on here. You're in 1831 01:42:05,400 --> 01:42:09,000 Speaker 1: the freedom hunt. This is the Buck Sexton Show podcast. 1832 01:42:12,520 --> 01:42:15,080 Speaker 1: All right, We've got Ken writing in with more roll 1833 01:42:15,160 --> 01:42:19,080 Speaker 1: call here. Even with unlimited power, there's one thing that 1834 01:42:19,160 --> 01:42:22,559 Speaker 1: Democrats absolutely cannot and will not do. They will not 1835 01:42:22,800 --> 01:42:27,360 Speaker 1: cut spending. They would rather bankrupt America and blame it 1836 01:42:27,479 --> 01:42:33,200 Speaker 1: on Republicans. Can they will not cut spending. That's true. 1837 01:42:33,439 --> 01:42:36,240 Speaker 1: I think that we've got to be honest about this, 1838 01:42:36,240 --> 01:42:42,000 Speaker 1: this reality that the chance of Democrats getting really bullied 1839 01:42:42,080 --> 01:42:46,320 Speaker 1: or pushed around at all based on spending arguments, I 1840 01:42:46,360 --> 01:42:49,120 Speaker 1: think that's gonna that's not gonna happen. You're not gonna 1841 01:42:49,120 --> 01:42:52,760 Speaker 1: be able to convince democrats now. After look, Trump spent 1842 01:42:52,800 --> 01:42:55,960 Speaker 1: a lot of money and we we we have entered 1843 01:42:55,960 --> 01:43:00,000 Speaker 1: a period here where the GOP isn't about limiting government 1844 01:43:00,000 --> 01:43:01,720 Speaker 1: and spending so much as it's doing the spending that 1845 01:43:01,760 --> 01:43:04,559 Speaker 1: they want to do. And that's that's just an honest 1846 01:43:04,560 --> 01:43:06,479 Speaker 1: assessment of it. I mean, we can try to talk 1847 01:43:06,520 --> 01:43:08,160 Speaker 1: around this as much as we want, we can try 1848 01:43:08,160 --> 01:43:10,559 Speaker 1: to get into other things, but the GOP, at the 1849 01:43:10,680 --> 01:43:13,920 Speaker 1: end of the day, has spent so much money and 1850 01:43:14,040 --> 01:43:18,000 Speaker 1: has has spent so many trillions above even the expected 1851 01:43:18,680 --> 01:43:22,760 Speaker 1: deficit this year that we're just we're not going to 1852 01:43:22,920 --> 01:43:25,960 Speaker 1: make any headway on this when we're not going to 1853 01:43:26,040 --> 01:43:30,640 Speaker 1: make any progress attacking the Democrats on being big spenders. 1854 01:43:30,880 --> 01:43:34,680 Speaker 1: So yeah, that's that's what we're facing here. And as 1855 01:43:34,680 --> 01:43:38,479 Speaker 1: for bankrupting America, I mean, my concern about where the 1856 01:43:38,720 --> 01:43:41,400 Speaker 1: country's finances are going is that we let's say we 1857 01:43:41,439 --> 01:43:44,599 Speaker 1: get past this COVID thing, and then everyone realizes as 1858 01:43:44,640 --> 01:43:47,280 Speaker 1: we're getting closer to getting out of it, that there 1859 01:43:47,439 --> 01:43:52,840 Speaker 1: is a tremendous amount of financial dress that has not 1860 01:43:52,960 --> 01:43:56,160 Speaker 1: yet been worked out. There's a lot of there are 1861 01:43:56,160 --> 01:43:59,360 Speaker 1: a lot of people out there who you would think 1862 01:44:01,120 --> 01:44:06,000 Speaker 1: you would think would be able to maybe get get 1863 01:44:06,000 --> 01:44:08,680 Speaker 1: ahead of this and get past this, but you're going 1864 01:44:08,720 --> 01:44:11,559 Speaker 1: to find out no. Actually, landlords even you know, are 1865 01:44:11,600 --> 01:44:15,160 Speaker 1: going to be so behind because of misrent payments. Individuals 1866 01:44:15,160 --> 01:44:17,960 Speaker 1: are facing eviction in January, as you know at large numbers. Well, 1867 01:44:18,240 --> 01:44:20,040 Speaker 1: you know, I know that we think of landlords usually 1868 01:44:20,080 --> 01:44:23,320 Speaker 1: as being able to do pretty well. And you know, 1869 01:44:23,479 --> 01:44:28,559 Speaker 1: landlords are the the privileged class, and that's true to extent. 1870 01:44:28,680 --> 01:44:31,000 Speaker 1: But you know, if you own property, you're renting it 1871 01:44:31,080 --> 01:44:33,360 Speaker 1: out to people, and you haven't been getting those checks, 1872 01:44:33,439 --> 01:44:36,120 Speaker 1: you've been covering that mortgage, maybe you need that money 1873 01:44:36,120 --> 01:44:38,840 Speaker 1: to pay your bills. So what happens to Wallace? I 1874 01:44:38,920 --> 01:44:41,519 Speaker 1: think there's a lot of financial pain, a lot of 1875 01:44:41,520 --> 01:44:45,719 Speaker 1: dislocation that's coming that people may not really be fully 1876 01:44:45,840 --> 01:44:50,559 Speaker 1: prepared for, and that could that could be tough, that 1877 01:44:50,560 --> 01:44:54,360 Speaker 1: could really hurt the the broader economy. What happens to 1878 01:44:54,400 --> 01:44:57,240 Speaker 1: all this accumulated debt. I mean, if the government just 1879 01:44:57,360 --> 01:45:00,719 Speaker 1: continues to try to pay everyone's bills, at some point, 1880 01:45:00,960 --> 01:45:04,800 Speaker 1: we've got to assume that that's going to have negative consequences. 1881 01:45:05,000 --> 01:45:07,880 Speaker 1: At some point, just having the government stepping in for 1882 01:45:08,040 --> 01:45:10,160 Speaker 1: a huge chunk of the economy that's been shut down, 1883 01:45:10,240 --> 01:45:12,800 Speaker 1: it's gonna have negative impact, gonna have negative effect. I 1884 01:45:12,840 --> 01:45:16,800 Speaker 1: think I think that's where we are. Kyle, next up here, Buck, 1885 01:45:16,840 --> 01:45:19,719 Speaker 1: I completely agree with your take on addressing Jill Biden 1886 01:45:20,000 --> 01:45:23,720 Speaker 1: as doctor. I'm married to someone with a PhD in 1887 01:45:23,760 --> 01:45:28,080 Speaker 1: an actual scientific field from a nationally reputable institution, and 1888 01:45:28,120 --> 01:45:31,320 Speaker 1: I can confirm from her that using the term doctor 1889 01:45:31,360 --> 01:45:34,479 Speaker 1: is relegated to a professional setting, as in something you 1890 01:45:35,640 --> 01:45:38,760 Speaker 1: address a superior as a sign of respect you added 1891 01:45:38,840 --> 01:45:41,160 Speaker 1: into your signature block at the end of a work email. 1892 01:45:41,760 --> 01:45:45,879 Speaker 1: Missus Biden being addressed as doctor in a casual setting 1893 01:45:46,400 --> 01:45:51,240 Speaker 1: comes off as highly pretentious or something someone with a 1894 01:45:51,280 --> 01:45:55,080 Speaker 1: low sense of self worth does to elevate themselves in 1895 01:45:55,160 --> 01:45:58,919 Speaker 1: their own mind. I think I know what missus Biden's 1896 01:45:59,000 --> 01:46:04,120 Speaker 1: PhD stands for, piled high and deep. Kyle, look at you, 1897 01:46:04,120 --> 01:46:09,000 Speaker 1: you cheeky fellow. You Yeah. I think that my thoughts 1898 01:46:09,000 --> 01:46:11,120 Speaker 1: on this are clear. I was on this train. I've 1899 01:46:11,120 --> 01:46:13,479 Speaker 1: been on this train for years. I don't think you 1900 01:46:13,479 --> 01:46:16,439 Speaker 1: should retain titles when you no longer have a certain job. 1901 01:46:17,000 --> 01:46:19,080 Speaker 1: And I even slip up on this sometimes, but I 1902 01:46:19,080 --> 01:46:21,200 Speaker 1: don't think you should be mayor when you're no longer mayor. 1903 01:46:21,439 --> 01:46:23,400 Speaker 1: I don't think you should be congressman or speaker when 1904 01:46:23,400 --> 01:46:26,000 Speaker 1: you're no longer either of those things. And I damn 1905 01:46:26,000 --> 01:46:27,840 Speaker 1: sure it don't think that you should be referred to 1906 01:46:27,840 --> 01:46:31,160 Speaker 1: as a doctor with your PhD is like something that 1907 01:46:31,200 --> 01:46:33,160 Speaker 1: you cut off the back of a cereal box. Yeah, 1908 01:46:33,200 --> 01:46:35,920 Speaker 1: you look at me with my PhD. Nah. Sorry, I'm 1909 01:46:35,920 --> 01:46:38,439 Speaker 1: not gonna cut it. Please go check out bucksxon dot 1910 01:46:38,439 --> 01:46:41,559 Speaker 1: com today. We've got our latest posting stories up there, 1911 01:46:41,680 --> 01:46:45,080 Speaker 1: and also pass the buck, especially as we're going into 1912 01:46:45,080 --> 01:46:49,720 Speaker 1: this new year, this new era in our politics. I 1913 01:46:49,760 --> 01:46:51,519 Speaker 1: think that the more people that know about the buck 1914 01:46:51,560 --> 01:46:53,360 Speaker 1: sex and show, the more folks well of listening. So 1915 01:46:53,400 --> 01:46:56,519 Speaker 1: please spread the word until tomorrow. Shields High