1 00:00:00,720 --> 00:00:03,640 Speaker 1: Welcome to the Freedom Hut. This is the best of 2 00:00:03,720 --> 00:00:07,520 Speaker 1: buck Daily podcast, the top stories of the day from 3 00:00:07,520 --> 00:00:11,040 Speaker 1: the Buck Sexton Show. From more buck Head to buck 4 00:00:11,119 --> 00:00:14,360 Speaker 1: sexton dot com and remember to subscribe to the podcast. 5 00:00:15,200 --> 00:00:19,680 Speaker 1: Welcome everybody. Oh my gosh, can you feel it? Can 6 00:00:19,760 --> 00:00:22,720 Speaker 1: you feel less than a week? What are we now? 7 00:00:22,840 --> 00:00:28,680 Speaker 1: Five days away from the big day? And I'm I'm 8 00:00:28,720 --> 00:00:31,600 Speaker 1: feeling good about it. I'm not over confident, but I'm 9 00:00:31,640 --> 00:00:34,919 Speaker 1: not under confident. It's gonna be close. But I think 10 00:00:34,920 --> 00:00:37,560 Speaker 1: the good guys win. We all know what that means. 11 00:00:38,440 --> 00:00:41,360 Speaker 1: Got quite a boost today to that end from the 12 00:00:41,479 --> 00:00:46,640 Speaker 1: latest data about GDP growth in the third third quarter 13 00:00:46,760 --> 00:00:53,360 Speaker 1: Q three US GDP booming at thirty three point one percent, 14 00:00:55,160 --> 00:00:59,560 Speaker 1: which is incredible. And he looked they had the worst 15 00:00:59,600 --> 00:01:02,960 Speaker 1: ever in Q two. Now they've had what I believe 16 00:01:03,040 --> 00:01:07,720 Speaker 1: is the strongest ever quarter in Q three. Yes, indeed, 17 00:01:07,760 --> 00:01:09,480 Speaker 1: so we've gone. We've gone from the worst quarter of 18 00:01:09,520 --> 00:01:14,120 Speaker 1: the best quarter. This is really meaningful. For one, it 19 00:01:14,160 --> 00:01:17,480 Speaker 1: gives us some real data. It gives some real teeth 20 00:01:17,480 --> 00:01:19,640 Speaker 1: to the claim made by Donald Trump that the economy 21 00:01:19,760 --> 00:01:23,800 Speaker 1: is in a period of comeback. Now that we are 22 00:01:24,400 --> 00:01:28,200 Speaker 1: turning the corner that we are making the necessary adjustments 23 00:01:28,200 --> 00:01:31,600 Speaker 1: and changes for the economy to start growing again a 24 00:01:31,640 --> 00:01:35,480 Speaker 1: lot in twenty twenty one because the Left is desperately 25 00:01:35,480 --> 00:01:38,720 Speaker 1: trying to convince everybody, and the Democrats are pretty much 26 00:01:39,120 --> 00:01:42,840 Speaker 1: basing their entire electoral hopes, and not just for Biden, 27 00:01:42,920 --> 00:01:46,880 Speaker 1: for all the Democrat races on everyone being depressed, being 28 00:01:46,920 --> 00:01:55,680 Speaker 1: told constantly, being hector to wear a mask, always outside, inside, upstairs, downstairs, asleep, awake, whatever, 29 00:01:57,000 --> 00:01:59,680 Speaker 1: and feel like the economy doesn't actually have a lot 30 00:01:59,720 --> 00:02:03,000 Speaker 1: of room to run right now, and it's only going 31 00:02:03,040 --> 00:02:05,960 Speaker 1: to get better if you vote for the build back 32 00:02:06,040 --> 00:02:10,200 Speaker 1: Better guy. Yeah, that's the best they could come up with. 33 00:02:10,320 --> 00:02:14,720 Speaker 1: Build back better. Well, we don't need Joe Biden to 34 00:02:14,840 --> 00:02:19,000 Speaker 1: build back. We don't need Joe Biden for anything. Actually, 35 00:02:19,800 --> 00:02:22,440 Speaker 1: all we have to do is understand that the president's 36 00:02:22,440 --> 00:02:27,080 Speaker 1: economic policies for the first three years of his presidency 37 00:02:27,520 --> 00:02:32,120 Speaker 1: were astonishingly successful, setting all kinds of records. And then 38 00:02:32,520 --> 00:02:36,079 Speaker 1: it is a tragedy, a global pandemic hit. I think 39 00:02:36,120 --> 00:02:39,960 Speaker 1: we overreacted as a society to the way we should 40 00:02:40,000 --> 00:02:42,880 Speaker 1: have dealt with this global pandemic, instead of taking it 41 00:02:42,960 --> 00:02:45,880 Speaker 1: place by place and looking at the data and adjusting 42 00:02:45,919 --> 00:02:49,720 Speaker 1: as we went along. We went for this extended severe lockdown, 43 00:02:49,720 --> 00:02:52,840 Speaker 1: and now we're going into another series of lockdowns. But 44 00:02:52,960 --> 00:02:56,960 Speaker 1: the point is, it wasn't a failure of Trump's approach 45 00:02:57,000 --> 00:02:59,840 Speaker 1: to the economy that caused the downturn this year. We 46 00:03:00,120 --> 00:03:04,520 Speaker 1: all know what it was. It was COVID nineteen. It 47 00:03:04,560 --> 00:03:07,680 Speaker 1: was a pandemic that has hit the rest of the 48 00:03:07,720 --> 00:03:12,320 Speaker 1: Western world with a ferocity. It hit China badly. Some 49 00:03:12,360 --> 00:03:15,040 Speaker 1: other countries haven't been hit quite the same way, usually 50 00:03:15,080 --> 00:03:19,160 Speaker 1: because they have either a population that is just generally 51 00:03:19,240 --> 00:03:22,520 Speaker 1: less susceptible. That could be for a whole bunch of reasons. Also, 52 00:03:23,040 --> 00:03:25,639 Speaker 1: they're more easily like New Zealand, more easily able to 53 00:03:25,680 --> 00:03:28,720 Speaker 1: cut themselves off from global travel, and a lot of 54 00:03:29,120 --> 00:03:33,880 Speaker 1: mixing with the global population. So we see what's really 55 00:03:33,960 --> 00:03:38,040 Speaker 1: happened here. We understand that Donald Trump wasn't responsible for 56 00:03:38,080 --> 00:03:40,560 Speaker 1: the downturn of the economy. In fact, there was a 57 00:03:40,600 --> 00:03:43,240 Speaker 1: downturn because he listened to the experts. Notice how they 58 00:03:43,240 --> 00:03:46,080 Speaker 1: always tell you that he doesn't believe the scientists. But 59 00:03:46,160 --> 00:03:50,160 Speaker 1: the only reason the economy tanked in the second quarter 60 00:03:50,240 --> 00:03:52,800 Speaker 1: the way that it did was because Trump went along 61 00:03:52,840 --> 00:03:56,160 Speaker 1: with what the science advisors of the federal bureaucracy that 62 00:03:56,200 --> 00:04:00,800 Speaker 1: he inherited told them needed to be done. And now 63 00:04:00,840 --> 00:04:04,920 Speaker 1: as we've started to understand this disease better have somewhat 64 00:04:05,000 --> 00:04:09,600 Speaker 1: better treatments and modalities for approaching it. People are realizing 65 00:04:09,640 --> 00:04:11,520 Speaker 1: that there's a lot of cash on the sidelines. There's 66 00:04:11,520 --> 00:04:15,400 Speaker 1: a lot of economic activity that wants to get going, 67 00:04:15,400 --> 00:04:19,159 Speaker 1: and people want to start opening up businesses, they want 68 00:04:19,200 --> 00:04:21,920 Speaker 1: to start traveling, they want to do these things. They 69 00:04:21,960 --> 00:04:24,280 Speaker 1: just want to feel safe enough. There's no such thing 70 00:04:24,279 --> 00:04:27,839 Speaker 1: as perfectly safe. Right You've been traveling, I'm sure for 71 00:04:27,960 --> 00:04:31,360 Speaker 1: decades of your life during flu season and during other 72 00:04:31,640 --> 00:04:35,560 Speaker 1: other outbreaks that could have been could have been fatal, 73 00:04:35,680 --> 00:04:37,960 Speaker 1: but there was a low enough chance of that that 74 00:04:38,040 --> 00:04:39,720 Speaker 1: you go about your life. We just need to get 75 00:04:39,800 --> 00:04:43,279 Speaker 1: to that place where we can all understand who's really 76 00:04:43,320 --> 00:04:47,719 Speaker 1: at risk, who's not, and what are acceptable acceptable risks 77 00:04:47,720 --> 00:04:50,120 Speaker 1: in our society, and then we can start getting going again. 78 00:04:50,600 --> 00:04:53,200 Speaker 1: And this is what Trump is showing everybody right now 79 00:04:53,200 --> 00:04:57,760 Speaker 1: with these numbers. If we just approach this rationally, we'll 80 00:04:57,800 --> 00:05:00,480 Speaker 1: be in a place we're twenty twenty one can be 81 00:05:00,680 --> 00:05:06,720 Speaker 1: a booming year. The Trump policies unlike Obama's policies, which 82 00:05:06,760 --> 00:05:10,000 Speaker 1: were spend a whole lot of money, expand the welfare state, 83 00:05:10,040 --> 00:05:13,320 Speaker 1: a lot more regulation, more people on food stamps than 84 00:05:13,360 --> 00:05:16,400 Speaker 1: at any time before that in American history. Right, unlike 85 00:05:16,440 --> 00:05:21,040 Speaker 1: the Obama administration's policies. You look at the Trump administration's 86 00:05:21,240 --> 00:05:24,280 Speaker 1: economy and everything that you can point you to show 87 00:05:24,560 --> 00:05:27,559 Speaker 1: that they were moving in the right direction, is there 88 00:05:28,400 --> 00:05:31,640 Speaker 1: you have an anomaly? I mean, you know, sometimes you 89 00:05:31,720 --> 00:05:33,920 Speaker 1: get hit by a bus, even if you look both 90 00:05:33,960 --> 00:05:37,400 Speaker 1: ways crossing this street. You know, sometimes things happen. That's 91 00:05:37,440 --> 00:05:40,279 Speaker 1: what has occurred with our economy. It's like a freak 92 00:05:40,440 --> 00:05:43,280 Speaker 1: storm out of nowhere. This is just what we're facing 93 00:05:43,640 --> 00:05:47,560 Speaker 1: because of the COVID nineteen virus. It's not on Trump. 94 00:05:47,839 --> 00:05:50,200 Speaker 1: And I think this is central because if people just 95 00:05:50,360 --> 00:05:54,400 Speaker 1: understand that the America we will have going forward soon 96 00:05:55,040 --> 00:05:58,080 Speaker 1: if Donald Trump gets reelected is the America we had 97 00:05:58,520 --> 00:06:02,120 Speaker 1: a year ago. We're the biggest questions were, you know, 98 00:06:02,520 --> 00:06:04,880 Speaker 1: what what are you going to do with the extra 99 00:06:04,960 --> 00:06:07,720 Speaker 1: money that you have from the tax cuts? And what 100 00:06:08,000 --> 00:06:10,560 Speaker 1: field do you want to pursue now that there are 101 00:06:10,600 --> 00:06:13,280 Speaker 1: fewer regulations preventing you from open a small business? I 102 00:06:13,279 --> 00:06:17,240 Speaker 1: mean economically, these how can you continue to make money 103 00:06:17,279 --> 00:06:19,320 Speaker 1: in the stock more? We're making so much money, You're 104 00:06:19,320 --> 00:06:21,560 Speaker 1: four oh one ks are doing so well. People started 105 00:06:21,600 --> 00:06:24,320 Speaker 1: to feel like this can't continue. I mean, it's just 106 00:06:24,360 --> 00:06:29,200 Speaker 1: so so prosperous. And yes, then COVID comes along, But 107 00:06:29,440 --> 00:06:32,600 Speaker 1: understand where the responsibility for all of this comes and 108 00:06:32,880 --> 00:06:36,400 Speaker 1: where it doesn't right, where does it come in? And 109 00:06:36,560 --> 00:06:41,479 Speaker 1: Donald Trump's economy alone should be enough in my view 110 00:06:41,880 --> 00:06:45,320 Speaker 1: for his reelection, between the incredibly strong economy and the 111 00:06:45,360 --> 00:06:48,200 Speaker 1: fact that he hasn't started a war, that he hasn't 112 00:06:48,240 --> 00:06:53,040 Speaker 1: put us lives in jeopardy abroad for no apparent reason 113 00:06:53,279 --> 00:06:56,800 Speaker 1: or no good reason, because these are these are things 114 00:06:56,800 --> 00:06:59,160 Speaker 1: that I think really matter. I mean, these are aspects 115 00:06:59,720 --> 00:07:02,000 Speaker 1: of day to day life. You know, we're always told 116 00:07:02,000 --> 00:07:04,920 Speaker 1: that Democrats care so much about these kitchen table issues, 117 00:07:05,440 --> 00:07:07,240 Speaker 1: and then they want to talk about the Green New Deal. 118 00:07:07,360 --> 00:07:10,200 Speaker 1: What people want to know, are they going to be 119 00:07:10,280 --> 00:07:12,960 Speaker 1: in a strong job market, are they going to make more, 120 00:07:13,080 --> 00:07:16,640 Speaker 1: are their wages going to go up? Are they going 121 00:07:16,680 --> 00:07:21,000 Speaker 1: to have more real purchasing power? And you know, or 122 00:07:21,160 --> 00:07:23,480 Speaker 1: are they safe and is their property safe? And can 123 00:07:23,480 --> 00:07:26,559 Speaker 1: they walk down the street without getting attacked. Democrats fail 124 00:07:26,640 --> 00:07:29,600 Speaker 1: on those points, and when you break it down, you 125 00:07:29,640 --> 00:07:33,560 Speaker 1: see it. Democrats are unable to make the case in 126 00:07:33,600 --> 00:07:36,160 Speaker 1: those key areas in a way that's based in fact 127 00:07:36,160 --> 00:07:39,040 Speaker 1: and truth. I mean, they're obviously telling people Joe's going 128 00:07:39,080 --> 00:07:44,600 Speaker 1: to build back better. Joe Biden's best economic ideas are 129 00:07:44,960 --> 00:07:48,440 Speaker 1: influence peddling and taking money from you, right for his son, 130 00:07:48,520 --> 00:07:51,440 Speaker 1: of course, and taking money from you to give to 131 00:07:51,520 --> 00:07:54,920 Speaker 1: other people so that they have more stuff. Right, Joe 132 00:07:54,960 --> 00:07:57,960 Speaker 1: Biden and the Democrat Party of today have fallen into 133 00:07:58,000 --> 00:08:06,520 Speaker 1: that fortunate theorem that was elucidated not too long ago 134 00:08:07,240 --> 00:08:10,800 Speaker 1: by Bastiat in the Law. I mean it's a couple 135 00:08:10,800 --> 00:08:13,720 Speaker 1: of hundred years ago, but not that long ago. Already 136 00:08:13,760 --> 00:08:15,880 Speaker 1: said that the people want to live by the fiction 137 00:08:15,920 --> 00:08:17,920 Speaker 1: that they can live at the expense of every other person. 138 00:08:18,640 --> 00:08:21,400 Speaker 1: That's really what the Democrats promise. Other people are responsible 139 00:08:21,440 --> 00:08:24,240 Speaker 1: for any frustrations you have, We're going to take from 140 00:08:24,280 --> 00:08:26,880 Speaker 1: them and give to you. Just give us the power 141 00:08:26,920 --> 00:08:30,920 Speaker 1: to do so. That's a zero sum game. That's not 142 00:08:30,960 --> 00:08:34,640 Speaker 1: a net wealth creation game. That doesn't make people better 143 00:08:34,760 --> 00:08:38,280 Speaker 1: off in the aggregate. It helps some at the expense 144 00:08:38,360 --> 00:08:42,800 Speaker 1: of others and creates inherent political and economic divisions, and 145 00:08:42,840 --> 00:08:44,920 Speaker 1: you know, the only way to solve them are and 146 00:08:44,960 --> 00:08:46,959 Speaker 1: this now goes to hyak in the road to serfdom. 147 00:08:47,240 --> 00:08:51,440 Speaker 1: Those intrusions into the economy, those intrusions into commercial activity 148 00:08:51,480 --> 00:08:54,120 Speaker 1: that the government engages in. The people that do that, 149 00:08:54,160 --> 00:08:56,440 Speaker 1: they always want to do more to fix, to fix 150 00:08:56,520 --> 00:08:59,880 Speaker 1: the imbalances that they themselves have created. It's like they 151 00:09:00,120 --> 00:09:03,240 Speaker 1: make endless work for themselves by doing the busy work 152 00:09:03,280 --> 00:09:05,959 Speaker 1: in the first place, of taking things from you and 153 00:09:06,120 --> 00:09:11,240 Speaker 1: spreading them out into the broader economy. So what country 154 00:09:11,240 --> 00:09:13,040 Speaker 1: do we really want to live in going forward? The 155 00:09:13,080 --> 00:09:17,840 Speaker 1: one that pretends Joe Biden and Barack Obama were good 156 00:09:17,880 --> 00:09:19,640 Speaker 1: stewards of the economy for eight years when all the 157 00:09:19,679 --> 00:09:21,960 Speaker 1: data shows us that's not true, Or the one where 158 00:09:22,000 --> 00:09:25,960 Speaker 1: Donald Trump was calling the shots and people really felt 159 00:09:26,040 --> 00:09:28,760 Speaker 1: like our best years were very much still ahead of us. 160 00:09:29,480 --> 00:09:32,840 Speaker 1: Joe Biden gets into office, and people right now who 161 00:09:32,960 --> 00:09:37,199 Speaker 1: have kids and people who have grandkids, they will be 162 00:09:37,200 --> 00:09:43,160 Speaker 1: better off than their posterity will. Future generations are going 163 00:09:43,160 --> 00:09:46,120 Speaker 1: to suffer as a result of these policies of socialism, 164 00:09:46,720 --> 00:09:50,200 Speaker 1: of central planning, of economic redistribution under the guise of 165 00:09:50,240 --> 00:09:55,360 Speaker 1: social justice. Donald Trump can bring us back, not to 166 00:09:55,440 --> 00:09:58,679 Speaker 1: some fantasy land of the future, to what we had before, 167 00:09:59,080 --> 00:10:04,040 Speaker 1: which was pretty fantastic. All we have to do is 168 00:10:04,120 --> 00:10:06,719 Speaker 1: recognize what has really happened and given the chance, and 169 00:10:06,840 --> 00:10:10,040 Speaker 1: that's what this thirty three point one percent GDP number 170 00:10:10,040 --> 00:10:15,480 Speaker 1: shows us today. The Trump plan works. The Biden Plan 171 00:10:16,200 --> 00:10:20,640 Speaker 1: is fiction. Thanks for listening to the festive buck Daily podcast. 172 00:10:21,080 --> 00:10:23,800 Speaker 1: Get more from book by following him on social media 173 00:10:24,080 --> 00:10:27,600 Speaker 1: at buck Sexton on Facebook, Twitter, and Instagram, and don't 174 00:10:27,640 --> 00:10:31,880 Speaker 1: forget to visit buck Sexton dot com. Just when you 175 00:10:32,160 --> 00:10:37,199 Speaker 1: thought the media's credibility couldn't be any lower, I mean, 176 00:10:37,280 --> 00:10:40,800 Speaker 1: how do you go below the basement? Right? What's there? You? 177 00:10:40,840 --> 00:10:43,160 Speaker 1: Now we're digging into the sheet rock. Now now we're 178 00:10:43,200 --> 00:10:47,160 Speaker 1: getting toward the magma, the core of the earth. In 179 00:10:47,240 --> 00:10:51,520 Speaker 1: terms of how low the media's credibility can go liquid 180 00:10:51,559 --> 00:10:56,839 Speaker 1: hot and magma. So they had this this op ed 181 00:10:56,920 --> 00:11:01,040 Speaker 1: published the New York Times two years ago, and it 182 00:11:01,120 --> 00:11:03,720 Speaker 1: was twenty summer of twenty eighteen, and I was living 183 00:11:03,720 --> 00:11:06,000 Speaker 1: in DC at the time. I was doing this show 184 00:11:06,040 --> 00:11:10,560 Speaker 1: but also working for The Hill dot com. And so 185 00:11:10,840 --> 00:11:14,520 Speaker 1: for DC folks this became a big guessing game who's 186 00:11:14,559 --> 00:11:18,920 Speaker 1: the anonymous op ed writer? And then this op ed 187 00:11:19,040 --> 00:11:21,040 Speaker 1: you recall the New York Times claim this was a 188 00:11:21,080 --> 00:11:28,400 Speaker 1: senior administration official, a senior administration official, and we had 189 00:11:28,400 --> 00:11:30,600 Speaker 1: to take their word for it that this person was 190 00:11:31,360 --> 00:11:35,520 Speaker 1: of the kind of stature where we would care, we 191 00:11:35,600 --> 00:11:39,480 Speaker 1: would care that they didn't like what the president was doing, 192 00:11:39,520 --> 00:11:42,880 Speaker 1: that that it would matter to anybody that this individual 193 00:11:43,120 --> 00:11:46,120 Speaker 1: would stab the administration that he was working for in 194 00:11:46,160 --> 00:11:51,880 Speaker 1: the back. And then you know, somehow we're gonna believe 195 00:11:51,920 --> 00:11:55,840 Speaker 1: this person, think that they're almost being heroic and that 196 00:11:55,920 --> 00:11:59,200 Speaker 1: they matter. That remember, that's key, that they matter. I 197 00:11:59,320 --> 00:12:01,520 Speaker 1: was highly epical the whole time. I mean, people were 198 00:12:01,520 --> 00:12:04,520 Speaker 1: saying crazy stuff. It's one of Trump's kids, No it's not. 199 00:12:05,000 --> 00:12:08,040 Speaker 1: Oh it's the White House, it's the White House Press secretary, 200 00:12:08,160 --> 00:12:10,319 Speaker 1: or it's no, it's not. It was so obvious none 201 00:12:10,320 --> 00:12:14,440 Speaker 1: of that was true. But they had to present something 202 00:12:15,240 --> 00:12:19,120 Speaker 1: in a way that people would actually pay attention to it. 203 00:12:19,160 --> 00:12:21,360 Speaker 1: So that's why they said a senior administration. You know, 204 00:12:21,400 --> 00:12:23,400 Speaker 1: if they say that, you know, an intern at the 205 00:12:23,440 --> 00:12:27,680 Speaker 1: Department of Commerce wrote something about Trump, no one cares. 206 00:12:28,880 --> 00:12:33,080 Speaker 1: No one cares, But an anonymous person who's really important 207 00:12:33,080 --> 00:12:36,000 Speaker 1: and powerful and is working in secret as part of 208 00:12:36,000 --> 00:12:38,920 Speaker 1: the hashtag resistance against the administration because Trump is so 209 00:12:39,040 --> 00:12:42,839 Speaker 1: reckless and dangerous. That got a lot of attention because 210 00:12:42,840 --> 00:12:45,400 Speaker 1: of all the guessing around it, and it's this was 211 00:12:45,520 --> 00:12:48,560 Speaker 1: all rooted in whether or not you think The New 212 00:12:48,640 --> 00:12:52,920 Speaker 1: York Times can be trusted, that its judgment can be trusted, 213 00:12:52,920 --> 00:12:56,640 Speaker 1: that it's presenting this in a way that is responsible 214 00:12:57,240 --> 00:12:59,520 Speaker 1: and is fair minded, which I know is laughing even 215 00:12:59,559 --> 00:13:01,199 Speaker 1: as I say that to you. It's how can those 216 00:13:01,200 --> 00:13:03,680 Speaker 1: words even come out of my mouth? But that's what 217 00:13:03,760 --> 00:13:07,440 Speaker 1: they've That's how they set this whole thing up. Well, 218 00:13:07,440 --> 00:13:09,679 Speaker 1: now we know who the anonymous op ed writer is. 219 00:13:09,720 --> 00:13:11,440 Speaker 1: And just as I said at the time, this is 220 00:13:11,480 --> 00:13:16,880 Speaker 1: some low level schmo that no one cares about. Just 221 00:13:16,920 --> 00:13:20,080 Speaker 1: as I said originally on this show then two years ago, 222 00:13:20,160 --> 00:13:21,920 Speaker 1: it's now taken us two years to find this out. 223 00:13:22,600 --> 00:13:28,040 Speaker 1: Guess who this guy is. Some nobody at DHS who 224 00:13:28,160 --> 00:13:31,960 Speaker 1: is good buddies with fake Tapper and is already a 225 00:13:32,040 --> 00:13:36,560 Speaker 1: CNN contributor. Oh what a shock. This couldn't be any 226 00:13:36,559 --> 00:13:42,000 Speaker 1: more perfect. He is the former DHS Chief of Staff, 227 00:13:43,240 --> 00:13:46,040 Speaker 1: Miles Taylor. But when he wrote the op ed, This 228 00:13:46,120 --> 00:13:49,720 Speaker 1: is the best part. He wasn't even DHS chief of staff, which, 229 00:13:49,880 --> 00:13:53,640 Speaker 1: let me be clear, would absolutely not qualify as a 230 00:13:53,720 --> 00:14:00,000 Speaker 1: senior administration official. Nobody gives a crap who the DHS 231 00:14:00,240 --> 00:14:04,440 Speaker 1: chief of staff is. It's a job like thousands of 232 00:14:04,480 --> 00:14:07,719 Speaker 1: other jobs in the federal government. Good for you, all right. 233 00:14:08,200 --> 00:14:10,440 Speaker 1: I'm not saying anybody who has that job shouldn't be 234 00:14:10,480 --> 00:14:13,560 Speaker 1: taken seriously in their role. But this is not impressing 235 00:14:13,600 --> 00:14:16,679 Speaker 1: anybody in the national political conversation. You know, no one 236 00:14:16,720 --> 00:14:18,720 Speaker 1: who sits around talking, but oh, I was chief of 237 00:14:18,800 --> 00:14:23,800 Speaker 1: staff to an attorney general who cares chief of staff. 238 00:14:23,800 --> 00:14:28,119 Speaker 1: This is not something that qualifies as senior and important 239 00:14:28,160 --> 00:14:32,480 Speaker 1: government position, DHS, d O, J, Commerce, whatever, right, it 240 00:14:32,560 --> 00:14:37,080 Speaker 1: just doesn't matter. But here he is Miles Taylor, who 241 00:14:37,160 --> 00:14:41,320 Speaker 1: is a senior advisor to DHS when he wrote this, 242 00:14:42,080 --> 00:14:44,600 Speaker 1: which is just hilarious. But here he has come out. 243 00:14:44,640 --> 00:14:48,240 Speaker 1: He wants everybody to this guy. He everything about him 244 00:14:48,400 --> 00:14:50,640 Speaker 1: fits to a t what we thought this guy would be. 245 00:14:50,880 --> 00:14:54,080 Speaker 1: I mean, he reminds me of the pajama the pajama 246 00:14:54,120 --> 00:14:57,720 Speaker 1: boy looking guy from Who's on CNN Now he used 247 00:14:57,720 --> 00:15:01,800 Speaker 1: to work for Comey at the FBI. Really doing a 248 00:15:01,840 --> 00:15:04,920 Speaker 1: lot of damage to the FBI's already tattered reputation. But 249 00:15:05,040 --> 00:15:10,160 Speaker 1: I digress. Here's Miles Taylor, anonymous op ed writer play one. 250 00:15:10,280 --> 00:15:13,120 Speaker 1: It's a character study of one man, the President of 251 00:15:13,120 --> 00:15:16,120 Speaker 1: the United States, and it wasn't me throwing other colleagues 252 00:15:16,200 --> 00:15:18,200 Speaker 1: under the bus. The point was to focus on him 253 00:15:18,440 --> 00:15:20,960 Speaker 1: and his record. And if you go back in time, Chris, 254 00:15:21,120 --> 00:15:23,800 Speaker 1: our founding fathers did this when they wrote the Federalist 255 00:15:23,800 --> 00:15:26,840 Speaker 1: Papers to defend the passage of the Constitution. Did they 256 00:15:26,880 --> 00:15:29,359 Speaker 1: do it in their own names. They did it under pseudonyms. 257 00:15:29,400 --> 00:15:32,240 Speaker 1: And they did it for a reason. Is Madison and 258 00:15:32,320 --> 00:15:34,920 Speaker 1: the other authors didn't want it to be about them 259 00:15:34,960 --> 00:15:38,000 Speaker 1: and their personalities. They wanted the people to debate the ideas. 260 00:15:38,000 --> 00:15:40,720 Speaker 1: And I wrote this, Chris, because I wanted people to 261 00:15:40,760 --> 00:15:45,040 Speaker 1: debate the ideas and Donald Trump's character and record. But again, 262 00:15:45,080 --> 00:15:47,440 Speaker 1: I want to point out to you, I had no 263 00:15:47,640 --> 00:15:50,560 Speaker 1: fear about putting my own name on the line here, 264 00:15:50,840 --> 00:15:53,120 Speaker 1: and that's why I did it months ago, so people 265 00:15:53,120 --> 00:15:55,440 Speaker 1: could come out and challenge me, they could pick apart 266 00:15:55,520 --> 00:16:01,200 Speaker 1: my record. I mean, what a slimy little frau, isn't 267 00:16:01,200 --> 00:16:04,520 Speaker 1: It's just so great to see who this is finally Yeah, 268 00:16:04,760 --> 00:16:07,920 Speaker 1: his first lives, comparing himself the founding fathers. Yeah, it 269 00:16:08,000 --> 00:16:12,120 Speaker 1: was about the ideas with them. Does he really think 270 00:16:12,160 --> 00:16:15,120 Speaker 1: that this is gonna fly? We weren't debating Donald Trump's 271 00:16:15,200 --> 00:16:18,120 Speaker 1: character enough before he wrote this. Op ed like, we're 272 00:16:18,160 --> 00:16:21,160 Speaker 1: all so dumb, We don't understand what happens here. If 273 00:16:21,160 --> 00:16:25,440 Speaker 1: he writes this under his own name, nobody cares. But 274 00:16:25,560 --> 00:16:30,760 Speaker 1: what he did was used the reckless trumped derangement syndrome 275 00:16:30,840 --> 00:16:34,560 Speaker 1: inspired complete lack of judgment from The New York Times. 276 00:16:35,800 --> 00:16:38,520 Speaker 1: I mean lack of judgment, meaning in terms of fairness 277 00:16:38,520 --> 00:16:41,240 Speaker 1: and ethics. But they saw this as a ploy. They 278 00:16:41,240 --> 00:16:44,360 Speaker 1: saw this as a way to both hurt Trump, create 279 00:16:44,440 --> 00:16:48,080 Speaker 1: dissension in the ranks among senior Trump advisors, and put 280 00:16:48,120 --> 00:16:51,760 Speaker 1: forward this myth because that's what it was. That one 281 00:16:51,760 --> 00:16:54,880 Speaker 1: of Trump's top people really thought he was a reckless 282 00:16:54,960 --> 00:16:57,040 Speaker 1: danger and would leave the job. But he knew that 283 00:16:57,080 --> 00:17:00,280 Speaker 1: if he did, the country would be in peril. This 284 00:17:00,320 --> 00:17:06,560 Speaker 1: guy Taylor is only somebody we're talking about now because 285 00:17:07,240 --> 00:17:11,280 Speaker 1: he pretended, by being anonymous, to be more important than 286 00:17:11,320 --> 00:17:14,680 Speaker 1: he was. And now he's, oh, no, it wasn't about me. Please, dude, 287 00:17:14,680 --> 00:17:16,560 Speaker 1: you're already has se Ann contributor to give me a break. 288 00:17:16,880 --> 00:17:19,439 Speaker 1: It's gross. It surminds me of a guy who was 289 00:17:20,000 --> 00:17:26,159 Speaker 1: at the NSC and he wrote that editorial about how 290 00:17:26,200 --> 00:17:28,960 Speaker 1: he had been an intelligence professional and Donald Trump is 291 00:17:29,040 --> 00:17:31,919 Speaker 1: terrible and he's a nonpartisan intelligence professional. And then it 292 00:17:32,000 --> 00:17:34,840 Speaker 1: came out that this guy worked for Ben Rhodes and 293 00:17:35,000 --> 00:17:38,639 Speaker 1: donated thousands of dollars to Democrat candidates and last election cycle. 294 00:17:38,680 --> 00:17:42,240 Speaker 1: It's like, Okay, so you're a superpartisan hack, but you're 295 00:17:42,240 --> 00:17:46,879 Speaker 1: writing an editorial as a nonpartisan intelligence official. These people 296 00:17:46,960 --> 00:17:50,040 Speaker 1: are just such little frauds, but they're so used to 297 00:17:50,080 --> 00:17:54,040 Speaker 1: being in these places, in these media and academic and 298 00:17:54,320 --> 00:17:57,680 Speaker 1: bureaucrat ecosystems where they get to do the soul. Oh 299 00:17:57,720 --> 00:18:00,480 Speaker 1: I don't have any politics. I just happened to always 300 00:18:00,520 --> 00:18:06,480 Speaker 1: have Democrat politics. Yeah, big shock, folks, you're in the 301 00:18:06,600 --> 00:18:09,879 Speaker 1: freedom hunt. This is the best of Buck Daily Podcast, 302 00:18:10,200 --> 00:18:15,200 Speaker 1: the top stories of the day from the Buck Sexton Show. Yes, 303 00:18:15,359 --> 00:18:19,240 Speaker 1: Trump would have a very different approach to the economy, 304 00:18:19,240 --> 00:18:21,439 Speaker 1: a much better one. I think that's clear. Although I 305 00:18:21,440 --> 00:18:23,879 Speaker 1: know the Libs are arguing that that they're blue in 306 00:18:23,920 --> 00:18:28,960 Speaker 1: the face blue in the face there, But sure enough, 307 00:18:30,240 --> 00:18:33,040 Speaker 1: there's no way to separate that from COVID response as well, 308 00:18:33,080 --> 00:18:37,800 Speaker 1: and the future of how the two different political parties, 309 00:18:37,840 --> 00:18:40,480 Speaker 1: two different candidates in this case, would deal with COVID. 310 00:18:41,280 --> 00:18:44,400 Speaker 1: And here's what the President's trying to remind everybody. Play ten. 311 00:18:45,640 --> 00:18:49,320 Speaker 1: If you vote for Biden, it means no kids in school, 312 00:18:49,840 --> 00:18:56,159 Speaker 1: no graduations, no weddings, no Thanksgiving, no Christmas, and no 313 00:18:56,320 --> 00:18:58,800 Speaker 1: Fourth of July together. Other than that, you have a 314 00:18:58,840 --> 00:19:04,560 Speaker 1: wonderful life. It's true, I mean, in essence, it's not 315 00:19:04,600 --> 00:19:08,600 Speaker 1: on the specifics, but it does mean schools will continue 316 00:19:08,600 --> 00:19:11,320 Speaker 1: to be shut down, you won't be able to have graduations. 317 00:19:12,040 --> 00:19:15,119 Speaker 1: The Democrats are completely devoted to all these ideas and 318 00:19:15,160 --> 00:19:17,240 Speaker 1: they don't want they don't want it to change anytime soon. 319 00:19:18,320 --> 00:19:20,640 Speaker 1: They've created an atmosphere of fear and now we all 320 00:19:20,680 --> 00:19:26,119 Speaker 1: have to live in it. They've created an irrational intolerance 321 00:19:26,200 --> 00:19:29,720 Speaker 1: for any risk whatsoever, including for those who are at 322 00:19:29,800 --> 00:19:31,800 Speaker 1: very low risk. I mean, when this disease was spreading 323 00:19:31,800 --> 00:19:33,439 Speaker 1: in the early days in New York City, and it 324 00:19:33,520 --> 00:19:35,360 Speaker 1: was we were worse hit by it than anywhere else. 325 00:19:35,359 --> 00:19:38,440 Speaker 1: As you know, I was on the subway four times 326 00:19:38,440 --> 00:19:40,800 Speaker 1: a day and in the most crowded places. I was 327 00:19:40,840 --> 00:19:44,840 Speaker 1: in bars and restaurants. I was basically walking around begging 328 00:19:44,880 --> 00:19:46,440 Speaker 1: to get COVID. I didn't know it at the time, 329 00:19:47,400 --> 00:19:50,000 Speaker 1: and if they would let me, I would go back 330 00:19:50,040 --> 00:19:53,960 Speaker 1: to most of that activity tomorrow, knowing that I could 331 00:19:54,000 --> 00:19:56,520 Speaker 1: get the disease, and knowing that my immunity once I 332 00:19:56,600 --> 00:19:58,600 Speaker 1: beat it, assuming I beat it, which I'm willing to 333 00:19:58,640 --> 00:20:03,000 Speaker 1: roll the dice on that, knowing that it wouldn't last forever, 334 00:20:03,119 --> 00:20:05,160 Speaker 1: but I think it would last long enough that we'd 335 00:20:05,160 --> 00:20:07,040 Speaker 1: be in better shape by the next time around. I'd 336 00:20:07,040 --> 00:20:10,080 Speaker 1: have to worry about it, if at all. But this 337 00:20:10,160 --> 00:20:12,440 Speaker 1: is where we are in the country right now. You 338 00:20:12,480 --> 00:20:15,600 Speaker 1: can either have it by the administration that has had 339 00:20:15,640 --> 00:20:18,240 Speaker 1: all these people in the media and all these left 340 00:20:18,240 --> 00:20:24,680 Speaker 1: wing activists just constantly pushing the panic porn stuff, telling us, oh, 341 00:20:24,720 --> 00:20:27,200 Speaker 1: I remember there was a you know what was it, 342 00:20:27,440 --> 00:20:30,320 Speaker 1: Kawasaki disease for kids. We were supposed to be so 343 00:20:30,359 --> 00:20:32,960 Speaker 1: worried about that tied into COVID. You know, it's rare 344 00:20:33,000 --> 00:20:35,680 Speaker 1: disorder that all didn't there were nothing there, all disappeared, 345 00:20:36,280 --> 00:20:38,840 Speaker 1: and you know, long COVID people are saying that, oh, 346 00:20:38,880 --> 00:20:41,040 Speaker 1: you never really get better, and then there's all the stuff, 347 00:20:41,080 --> 00:20:43,760 Speaker 1: Oh maybe your lungs are always destroyed and ruined. It. 348 00:20:44,000 --> 00:20:46,880 Speaker 1: They keep running these stories and stories and stories. There's 349 00:20:46,920 --> 00:20:49,959 Speaker 1: really very little follow up to it. And what they 350 00:20:49,960 --> 00:20:53,000 Speaker 1: should be doing is looking at things like remdesvie. Does 351 00:20:53,000 --> 00:20:57,000 Speaker 1: it really work? Most recent studies say no. But remember 352 00:20:57,080 --> 00:21:01,440 Speaker 1: remdesvie good, hydroxyl chloroquinn bad. That's what we were told. 353 00:21:01,480 --> 00:21:06,120 Speaker 1: Remdesivie got approved even though really don't do very much, 354 00:21:06,560 --> 00:21:08,360 Speaker 1: and they've done big trials of it now, but it's 355 00:21:08,359 --> 00:21:11,800 Speaker 1: still got approved. This is largely just driven by perception. 356 00:21:12,600 --> 00:21:15,240 Speaker 1: They think that might shorten I think in thirty percent 357 00:21:15,359 --> 00:21:18,560 Speaker 1: of people it maybe shortened their stay in the hospital 358 00:21:18,560 --> 00:21:21,960 Speaker 1: by a few days, they think, But how do they 359 00:21:22,000 --> 00:21:25,520 Speaker 1: know people weren't just getting better anyway. It's very very 360 00:21:26,200 --> 00:21:29,400 Speaker 1: skimpy evidence for remdesivie being a really major, a major 361 00:21:29,480 --> 00:21:31,439 Speaker 1: tool against it's not a cure, but a tool against 362 00:21:31,440 --> 00:21:34,760 Speaker 1: this probably not even as good as tama flu against 363 00:21:34,800 --> 00:21:36,720 Speaker 1: the flu. And as somebody who's had the flu a 364 00:21:36,720 --> 00:21:39,520 Speaker 1: couple times and remembers, you know, you can take tama flu, 365 00:21:39,640 --> 00:21:43,280 Speaker 1: but a lot of doctors will say they might get 366 00:21:43,320 --> 00:21:45,439 Speaker 1: better a day or two sooner, but you know, I 367 00:21:45,440 --> 00:21:47,600 Speaker 1: wouldn't worry about it. Just get a lot of rest, 368 00:21:47,680 --> 00:21:50,840 Speaker 1: take good care of yourself. You'll be okay. That's often 369 00:21:50,880 --> 00:21:53,600 Speaker 1: the approach. But so you have you have the Trump 370 00:21:54,040 --> 00:21:55,680 Speaker 1: version of how we're going to deal with this, which 371 00:21:55,680 --> 00:21:58,199 Speaker 1: is reopening things. Here. The White House Press Secretary at 372 00:21:58,240 --> 00:22:01,560 Speaker 1: Kelly mckinnetty is all so laid this out so that 373 00:22:01,600 --> 00:22:05,320 Speaker 1: everyone's very clear on a play fifteen. Look, the American 374 00:22:05,359 --> 00:22:08,439 Speaker 1: people have a very clear choice when it comes to COVID. 375 00:22:08,760 --> 00:22:11,119 Speaker 1: You can vote on Joe Biden, where you will be 376 00:22:11,240 --> 00:22:14,400 Speaker 1: locked down. Your schools will be closed, your churches will 377 00:22:14,400 --> 00:22:17,159 Speaker 1: be closed, you won't have social gatherings. It will be 378 00:22:17,240 --> 00:22:21,320 Speaker 1: a lockdown versus President Trump, where we are safely reopening 379 00:22:21,359 --> 00:22:25,520 Speaker 1: this country. Americans deserve jobs, they deserve freedom. Joe Biden's 380 00:22:25,560 --> 00:22:28,520 Speaker 1: modeling his strategy which is lockdown in the basement. But 381 00:22:28,560 --> 00:22:32,200 Speaker 1: this president has surged therapeutics and testing and a vaccine 382 00:22:32,200 --> 00:22:34,680 Speaker 1: and record time. We can control this, but at the 383 00:22:34,720 --> 00:22:37,920 Speaker 1: same time, we can open this country and not lockdown 384 00:22:38,080 --> 00:22:42,280 Speaker 1: like Joe Biden will do. Amen. Notice the Biden plan 385 00:22:42,880 --> 00:22:46,400 Speaker 1: for reopen for Bill back better is always I'm gonna 386 00:22:46,400 --> 00:22:49,560 Speaker 1: listen to the scientists, You're gonna listening to a man, 387 00:22:49,640 --> 00:22:53,440 Speaker 1: you know, no joke, no joke. Biden loves to say 388 00:22:53,480 --> 00:22:55,960 Speaker 1: that he's got these these pseudo folks. He phrases that 389 00:22:56,040 --> 00:22:59,680 Speaker 1: he's just honed over decades of spewing political bullcrap to 390 00:22:59,720 --> 00:23:01,920 Speaker 1: get alec died to office and do very little once 391 00:23:01,920 --> 00:23:04,479 Speaker 1: he's there. One of his favorite shows. No joke, I'm 392 00:23:04,520 --> 00:23:08,640 Speaker 1: not kidding, no joke. Oh wow, Joe. It's like you're 393 00:23:08,840 --> 00:23:10,760 Speaker 1: It's like you've rolled up your work shirt and you're 394 00:23:10,760 --> 00:23:12,840 Speaker 1: sitting next to me at the little kitchen table and 395 00:23:13,359 --> 00:23:16,200 Speaker 1: just telling me about the hard day's work, riding to 396 00:23:16,280 --> 00:23:18,600 Speaker 1: choo chow with your lunch pail. You know, give me 397 00:23:18,640 --> 00:23:24,640 Speaker 1: a break. But he's out there telling everybody they'll listen 398 00:23:24,680 --> 00:23:27,200 Speaker 1: to the experts and wear a mask. Their only strategy 399 00:23:27,280 --> 00:23:29,520 Speaker 1: is wear a mask and be afraid. That's it. They 400 00:23:29,520 --> 00:23:32,320 Speaker 1: have nothing else. Listen to the experts. What are the 401 00:23:32,359 --> 00:23:37,439 Speaker 1: experts tell us avoid people and wear masks. That's what 402 00:23:37,520 --> 00:23:41,520 Speaker 1: the expert there. There's always this this pretense, this make 403 00:23:41,680 --> 00:23:44,800 Speaker 1: believe approach from from Biden and the media and the 404 00:23:44,800 --> 00:23:48,440 Speaker 1: Democrats that if only Trump would listen to the geniuses 405 00:23:48,480 --> 00:23:50,879 Speaker 1: out there who are telling him what to do everything 406 00:23:50,880 --> 00:23:55,119 Speaker 1: would be better. Okay, what are those geniuses saying? What 407 00:23:55,359 --> 00:23:58,120 Speaker 1: is FOUCHI saying? What's doctor Fouch telling you what to do? 408 00:23:59,720 --> 00:24:03,760 Speaker 1: Where a mask? Okay, we're wearing masks. We're wearing masks. 409 00:24:04,040 --> 00:24:07,800 Speaker 1: Virus is still surging, but we're wearing our masks. You 410 00:24:07,840 --> 00:24:09,879 Speaker 1: know what they're going to say in two or three months, 411 00:24:09,880 --> 00:24:11,800 Speaker 1: when there are going to be a lot more cases 412 00:24:11,840 --> 00:24:14,560 Speaker 1: of this. I think the death rate will be considerably 413 00:24:14,600 --> 00:24:15,960 Speaker 1: lower than it was when it hit us the first 414 00:24:16,000 --> 00:24:18,040 Speaker 1: time around, but there there'll be a lot more cases. 415 00:24:18,080 --> 00:24:21,040 Speaker 1: You know they're gonna say, not wearing masks enough. I'm 416 00:24:21,040 --> 00:24:22,680 Speaker 1: going to ask you this question. Do you think it's 417 00:24:22,680 --> 00:24:25,959 Speaker 1: ever possible to wear masks enough? According to people for 418 00:24:26,040 --> 00:24:29,919 Speaker 1: whom the only real response to this virus and the 419 00:24:29,960 --> 00:24:32,400 Speaker 1: only thing we have to do is to wear masks, 420 00:24:33,160 --> 00:24:36,160 Speaker 1: you'll ever admit that maybe that's not enough, not even 421 00:24:36,160 --> 00:24:40,439 Speaker 1: close to enough. They will not. I can tell you 422 00:24:40,480 --> 00:24:44,359 Speaker 1: that right now. But Joe Biden, he's got a fever 423 00:24:44,680 --> 00:24:48,080 Speaker 1: and the only prescription is more mask wearing. Play eighteen, 424 00:24:49,320 --> 00:24:53,160 Speaker 1: and we discussed again the vital importance of wearing masks, 425 00:24:53,680 --> 00:24:58,199 Speaker 1: of protecting yourself, protecting your neighbor, and to save around 426 00:24:58,240 --> 00:25:02,240 Speaker 1: one hundred thousand live in the months ahead between now 427 00:25:02,280 --> 00:25:05,399 Speaker 1: and just after the first of the year. This is 428 00:25:05,480 --> 00:25:11,960 Speaker 1: not political, it's patriotic. Wearing a mask where one period 429 00:25:13,960 --> 00:25:17,679 Speaker 1: where one period. He also likes to do that. No joke, folks, 430 00:25:17,760 --> 00:25:23,160 Speaker 1: no joke period. Wow, that's really impressive stuff, Joe Budden. 431 00:25:23,200 --> 00:25:25,320 Speaker 1: You know wearing a mask. You know where they wear 432 00:25:25,359 --> 00:25:29,119 Speaker 1: masks and have mask mandates. Major European countries like Italy 433 00:25:29,160 --> 00:25:33,080 Speaker 1: and Spain where they have huge spikes and cases right 434 00:25:33,080 --> 00:25:35,479 Speaker 1: now and are going through just straight up stay at 435 00:25:35,520 --> 00:25:38,400 Speaker 1: home order lockdowns. That's what they're heading for. If they're 436 00:25:38,440 --> 00:25:42,439 Speaker 1: not there already, they've been wearing masks, but I thought, oh, 437 00:25:42,480 --> 00:25:44,159 Speaker 1: that's all we had to do. Now they'll come up 438 00:25:44,160 --> 00:25:46,399 Speaker 1: with some theory. Oh, it's because of young people in 439 00:25:46,440 --> 00:25:51,040 Speaker 1: the summertime in the really, that's what it's because of. 440 00:25:52,040 --> 00:25:57,440 Speaker 1: Long indoor exposure to an infected person is how this 441 00:25:57,720 --> 00:26:01,680 Speaker 1: gets spread. We all know that. So unless you're going 442 00:26:01,720 --> 00:26:05,879 Speaker 1: to avoid being indoors with other human beings, you're probably 443 00:26:05,920 --> 00:26:08,399 Speaker 1: going to be exposed to this at some point if 444 00:26:08,400 --> 00:26:12,560 Speaker 1: you have not been already. That's where we are. This 445 00:26:12,600 --> 00:26:15,840 Speaker 1: idea that if we all just wear masks. We're going 446 00:26:15,920 --> 00:26:18,520 Speaker 1: to be able to beat this thing. That was never 447 00:26:19,560 --> 00:26:21,480 Speaker 1: the promise in the beginning. It was never, guys, just 448 00:26:21,480 --> 00:26:23,359 Speaker 1: wear masks. This thing will go away in two weeks. 449 00:26:23,960 --> 00:26:26,000 Speaker 1: Just wear masks. It'll in sixty days, will be done. 450 00:26:27,359 --> 00:26:28,760 Speaker 1: Maybe we could have done that, Maybe we would have. 451 00:26:28,800 --> 00:26:31,560 Speaker 1: You been willing to give that a shot. But no, 452 00:26:31,680 --> 00:26:33,600 Speaker 1: instead it's always we're not doing it enough. We're not 453 00:26:33,600 --> 00:26:40,080 Speaker 1: doing it enough. Here's the worst, you know. I put 454 00:26:40,160 --> 00:26:43,280 Speaker 1: up a poll today on Twitter, and much to my surprise, 455 00:26:43,359 --> 00:26:48,359 Speaker 1: the poll was about whether or not the poll was 456 00:26:48,400 --> 00:26:52,160 Speaker 1: about whether or not Trump should oh sorry, who should 457 00:26:52,200 --> 00:26:56,040 Speaker 1: Trump when he wins reelection the first person he should 458 00:26:56,040 --> 00:27:00,240 Speaker 1: fire is And the options were Fauci and Christopher the 459 00:27:00,240 --> 00:27:04,080 Speaker 1: FBI director and so the top infectious disease specialists in 460 00:27:04,080 --> 00:27:08,960 Speaker 1: the federal government, or the top federal investigator FBI guy, 461 00:27:09,160 --> 00:27:12,720 Speaker 1: Christopher Ray. About eighty percent of the tens of thousands 462 00:27:12,760 --> 00:27:16,639 Speaker 1: of people who replied to that thought Ray should be 463 00:27:16,680 --> 00:27:18,840 Speaker 1: the first person to be fired. And I gotta tell you, 464 00:27:19,880 --> 00:27:22,960 Speaker 1: I think it should be the Fouch. I think that 465 00:27:23,040 --> 00:27:25,639 Speaker 1: Fouch is a much better choice for getting the boot 466 00:27:26,359 --> 00:27:29,480 Speaker 1: here he is. Remember, listen to the experts listen to 467 00:27:29,480 --> 00:27:32,760 Speaker 1: the experts. I can assure you we're going to be 468 00:27:32,760 --> 00:27:35,639 Speaker 1: listening to the experts and it's not gonna work. And 469 00:27:35,640 --> 00:27:37,840 Speaker 1: then they're gonna blame us, and that when I say, oh, 470 00:27:37,880 --> 00:27:42,600 Speaker 1: they're gonna blame Trump supporters. The worst results for COVID 471 00:27:43,080 --> 00:27:48,320 Speaker 1: are in blue, very very blue places in America. But 472 00:27:48,400 --> 00:27:51,280 Speaker 1: the reason we still have COVID is because of Trump 473 00:27:51,280 --> 00:27:55,760 Speaker 1: and Republicans somehow. Isn't that a fascinating cognitive dissonance that 474 00:27:55,800 --> 00:28:01,359 Speaker 1: they have just embraced. Here's the fouch just telling you, look, 475 00:28:01,600 --> 00:28:03,320 Speaker 1: it's really important you listen him, because he's out there 476 00:28:03,359 --> 00:28:06,040 Speaker 1: letting you know. It's gonna get worse. It's gonna things 477 00:28:06,080 --> 00:28:08,280 Speaker 1: are gonna get terrible. We're never gonna be done with 478 00:28:08,320 --> 00:28:11,360 Speaker 1: this thing. You're probably gonna win masks and social distance 479 00:28:11,400 --> 00:28:13,360 Speaker 1: and have no fun and no life all next year, 480 00:28:13,440 --> 00:28:15,480 Speaker 1: maybe another year after that. I'm not gonna say it's 481 00:28:15,480 --> 00:28:17,040 Speaker 1: not gonna be at least three years, but it could 482 00:28:17,040 --> 00:28:20,280 Speaker 1: be three. I could be ten, honestly, But you gotta 483 00:28:20,320 --> 00:28:23,040 Speaker 1: do everything I say. But at least for three years, 484 00:28:23,040 --> 00:28:26,560 Speaker 1: maybe two, you're gonna have to not see Grandma or 485 00:28:26,640 --> 00:28:29,360 Speaker 1: your mom and dad, or have any time with loved 486 00:28:29,400 --> 00:28:32,280 Speaker 1: ones in an enclosed space, you know, just be outside 487 00:28:32,320 --> 00:28:35,440 Speaker 1: with them from fifty feet away. No hugs. But this 488 00:28:35,520 --> 00:28:37,280 Speaker 1: is good because you know the chance if you get this, 489 00:28:37,320 --> 00:28:39,360 Speaker 1: there's like a one in ten thousand chance you could die. 490 00:28:39,920 --> 00:28:41,680 Speaker 1: So you can't you can't take that risk. No one's 491 00:28:41,680 --> 00:28:45,120 Speaker 1: allowed to take that risk. That's pretty much found for 492 00:28:45,160 --> 00:28:47,640 Speaker 1: you here he is thirteen. This is gonna get worse 493 00:28:47,760 --> 00:28:51,200 Speaker 1: because we're going more into a coldest season as we 494 00:28:51,280 --> 00:28:53,800 Speaker 1: get through the fall and into the winter, with the 495 00:28:53,880 --> 00:28:57,960 Speaker 1: holiday season going, We've got to do something different. We 496 00:28:58,040 --> 00:29:01,040 Speaker 1: can't just let this happen. We're gonna have many more 497 00:29:01,080 --> 00:29:05,480 Speaker 1: hospitalizations and that will inevitably lead to more deaths. So 498 00:29:05,520 --> 00:29:11,360 Speaker 1: this is an untenable situation. Untenable situation in the winter. Okay, 499 00:29:11,680 --> 00:29:16,040 Speaker 1: does everybody remember what happened in March? Lockdown, stay at 500 00:29:16,080 --> 00:29:20,120 Speaker 1: home orders, business is closed, everyone terrified, staying in their homes. 501 00:29:20,920 --> 00:29:24,720 Speaker 1: Did this go away in sixty days? No? It actually 502 00:29:24,800 --> 00:29:29,280 Speaker 1: shot up like a a I was gonna say stock 503 00:29:29,320 --> 00:29:32,880 Speaker 1: market crash, that's the wrong direction, but jumps up like 504 00:29:32,920 --> 00:29:37,560 Speaker 1: a tidal wave. There we go, and now we pretend 505 00:29:37,600 --> 00:29:39,240 Speaker 1: like if we just do what we did that time, 506 00:29:39,960 --> 00:29:43,200 Speaker 1: what exactly. Oh, even if it doesn't seem like it's working, 507 00:29:43,600 --> 00:29:47,640 Speaker 1: it would have been worse. That's the other standard. They 508 00:29:47,720 --> 00:29:53,280 Speaker 1: have created, an unfalsifiable approach to COVID nineteen. Do what 509 00:29:53,360 --> 00:29:56,560 Speaker 1: we say when it doesn't really work, we'll say you 510 00:29:56,600 --> 00:29:59,080 Speaker 1: either didn't do it well enough or it would have 511 00:29:59,120 --> 00:30:05,080 Speaker 1: been much worse. Hmm gee. Maybe also what they're telling 512 00:30:05,120 --> 00:30:07,600 Speaker 1: us just doesn't work. But that's you're not allowed to 513 00:30:07,640 --> 00:30:09,560 Speaker 1: say that. You're not allowed when I say it doesn't work. 514 00:30:10,640 --> 00:30:14,200 Speaker 1: Maybe it delays the spread by some percentile or some factor, 515 00:30:14,280 --> 00:30:17,000 Speaker 1: but delaying the spread doesn't actually if you're looking at 516 00:30:17,000 --> 00:30:20,760 Speaker 1: it on a public health uh, you know, from a 517 00:30:20,840 --> 00:30:24,160 Speaker 1: from a thirty thousand foot view, What are you putting 518 00:30:24,160 --> 00:30:25,680 Speaker 1: yourself through all this for? You know? The UK, I 519 00:30:25,680 --> 00:30:27,120 Speaker 1: think the latest data is that they think they've had 520 00:30:27,120 --> 00:30:29,120 Speaker 1: a seventy percent increase in suicides. And a lot of 521 00:30:29,120 --> 00:30:32,720 Speaker 1: people tragically commit suicide in America every year. UK thinks 522 00:30:32,720 --> 00:30:34,840 Speaker 1: they've had a seventy percent increase. That's the latest data 523 00:30:34,880 --> 00:30:38,000 Speaker 1: that I saw. But don't worry on all the cancers 524 00:30:38,040 --> 00:30:40,680 Speaker 1: that they're finding in even in Canada now where they 525 00:30:40,680 --> 00:30:42,440 Speaker 1: haven't had as bad a time with covid as we have, 526 00:30:42,600 --> 00:30:45,880 Speaker 1: but inoperable cancers that could have been identified earlier but 527 00:30:45,920 --> 00:30:47,920 Speaker 1: people weren't going But so, but don't worry about any 528 00:30:47,960 --> 00:30:51,880 Speaker 1: of those costs. Be scared. Listen to Fauci, to what 529 00:30:52,000 --> 00:30:54,880 Speaker 1: he says, or else we're gonna get the orls. Anyway. 530 00:30:54,880 --> 00:30:58,440 Speaker 1: That's that's what I'm telling you. There's no there's no 531 00:30:58,520 --> 00:31:01,920 Speaker 1: future in which Foucci says, great job, everybody. You'll listen 532 00:31:02,000 --> 00:31:04,880 Speaker 1: to me. We didn't have terrible things with the viyru. No, 533 00:31:05,720 --> 00:31:07,800 Speaker 1: it's gonna get bad. It's not gonna be as bad 534 00:31:07,840 --> 00:31:10,840 Speaker 1: as it was. And he's gonna say, keep doing the annoying, 535 00:31:10,880 --> 00:31:13,479 Speaker 1: stupid things you don't want to do, keep masking up 536 00:31:13,520 --> 00:31:15,920 Speaker 1: in between bites of food. And if you don't, and 537 00:31:16,440 --> 00:31:18,840 Speaker 1: it's because you haven't done that that we've had the 538 00:31:18,880 --> 00:31:23,040 Speaker 1: cases that we've had, when in reality, the public health 539 00:31:23,080 --> 00:31:27,360 Speaker 1: authorities in this country are just impotent when it comes 540 00:31:27,400 --> 00:31:30,120 Speaker 1: to doing anything about this. They can't do anything. They 541 00:31:30,160 --> 00:31:34,520 Speaker 1: don't really have an answer. Freezing society in place was 542 00:31:34,560 --> 00:31:38,600 Speaker 1: considered too crazy and too destructive for a much worse 543 00:31:38,800 --> 00:31:41,120 Speaker 1: disease when they were modeling this out in the past 544 00:31:41,240 --> 00:31:43,880 Speaker 1: than what we currently have. But that's really effectively the 545 00:31:43,920 --> 00:31:47,600 Speaker 1: only answer they can give you. The more open we are, 546 00:31:47,640 --> 00:31:49,360 Speaker 1: the more people come into contact with each other, just 547 00:31:49,400 --> 00:31:51,280 Speaker 1: like a common cold, the more this is going to spread. 548 00:31:51,320 --> 00:31:53,640 Speaker 1: That is just what's going to happen. They can try 549 00:31:53,680 --> 00:31:56,040 Speaker 1: to say that mitigation, mitigation, mitigation, it's not going to 550 00:31:56,120 --> 00:31:59,560 Speaker 1: stop it. It hasn't stopped it before. La Faucci wants 551 00:31:59,680 --> 00:32:04,800 Speaker 1: a national mask mandated. I want to start screaming f 552 00:32:04,960 --> 00:32:08,160 Speaker 1: bombs on the radio when he says this stuff play fourteen. 553 00:32:08,720 --> 00:32:12,120 Speaker 1: You're using the word mandating mass Yes, if that works, 554 00:32:12,440 --> 00:32:15,440 Speaker 1: let's do it. I don't think it's going to happen nationally. 555 00:32:15,800 --> 00:32:20,400 Speaker 1: If it doesn't happen nationally, the reason is because it might, 556 00:32:20,880 --> 00:32:23,000 Speaker 1: it may not come from the White House to do it. 557 00:32:24,880 --> 00:32:27,360 Speaker 1: The reason we won't have a national mask mandate is 558 00:32:27,400 --> 00:32:29,480 Speaker 1: because it's a bad Trump guy. But I'm not political. 559 00:32:30,360 --> 00:32:33,800 Speaker 1: Here's something for you to think about. Foucci has complained 560 00:32:33,840 --> 00:32:39,280 Speaker 1: about being used in Trump ads. Foucci has not complained 561 00:32:39,280 --> 00:32:41,800 Speaker 1: about the fact that he has called out by name 562 00:32:41,960 --> 00:32:45,840 Speaker 1: by Biden, including on Biden's website, as the guy He'll 563 00:32:45,840 --> 00:32:49,920 Speaker 1: listen to, clearly politicizing his advice on this but the 564 00:32:50,000 --> 00:32:54,080 Speaker 1: Democrat is fine. It's Trump that he's got a problem with. 565 00:32:54,200 --> 00:32:57,040 Speaker 1: But he's not He's not political, not political, Sure he isn't. 566 00:32:58,640 --> 00:33:01,080 Speaker 1: You're in the freedom Hunt. This is the best of 567 00:33:01,160 --> 00:33:04,760 Speaker 1: Buck Daily podcast, the top stories of the day from 568 00:33:04,760 --> 00:33:08,960 Speaker 1: the Buck Sexton Show. But I'm not just running against 569 00:33:09,000 --> 00:33:12,920 Speaker 1: show Biden, them running against the left wing mob and 570 00:33:13,040 --> 00:33:16,960 Speaker 1: the left wing media, the big tech giants. And I'm 571 00:33:17,000 --> 00:33:19,280 Speaker 1: also running against the rhinos. Do you know what the 572 00:33:19,360 --> 00:33:24,080 Speaker 1: rhino is? A rhino may be the lowest form of 573 00:33:24,200 --> 00:33:27,960 Speaker 1: human life. He is indeed running against all of those things. 574 00:33:29,560 --> 00:33:36,800 Speaker 1: He's running against them, and he's very, very gifted when 575 00:33:36,840 --> 00:33:39,800 Speaker 1: it comes to exposing who his enemies really are. That's 576 00:33:40,120 --> 00:33:44,200 Speaker 1: that's one of Trump's great skills. He shows you who 577 00:33:44,240 --> 00:33:48,400 Speaker 1: his opponents are at their core, because they he deranges them, 578 00:33:48,400 --> 00:33:52,640 Speaker 1: I mean, he unbalances them. They just all of a 579 00:33:52,680 --> 00:33:56,720 Speaker 1: sudden lose the ability to have the artifices and the 580 00:33:56,760 --> 00:34:02,000 Speaker 1: obfuscations necessary to pretend they're just objective journals or to 581 00:34:02,120 --> 00:34:05,000 Speaker 1: pretend I don't have any politics. Man, I just hate Trump. 582 00:34:06,040 --> 00:34:08,680 Speaker 1: But if there's one thing about a Donald Trump reelection 583 00:34:08,760 --> 00:34:12,319 Speaker 1: that I will absolutely relish, and there's many of there's 584 00:34:12,360 --> 00:34:14,319 Speaker 1: many things, but if there's one thing that I think 585 00:34:14,440 --> 00:34:21,800 Speaker 1: is just incredible, it's what a giant extended single digit 586 00:34:21,920 --> 00:34:25,200 Speaker 1: from a human hand with the other digits clasped down. 587 00:34:25,960 --> 00:34:29,560 Speaker 1: It will be to the media in a way that 588 00:34:29,920 --> 00:34:31,640 Speaker 1: I mean, I think I might have to go run 589 00:34:31,680 --> 00:34:35,120 Speaker 1: through Times Square in my underwear doing cartwheels, which was 590 00:34:35,280 --> 00:34:37,640 Speaker 1: as not a site anybody necessarily wants to see these days. 591 00:34:37,719 --> 00:34:40,880 Speaker 1: But I'm just saying I'm gonna be so excited because 592 00:34:40,880 --> 00:34:45,240 Speaker 1: they deserve it. They deserve it, especially when you add 593 00:34:45,280 --> 00:34:50,960 Speaker 1: the icing on the cake of their journalistic malpractice atrocities. 594 00:34:51,560 --> 00:34:54,680 Speaker 1: Is this the last sixty days or so worth Hunter 595 00:34:54,760 --> 00:34:58,200 Speaker 1: Biden stuff? The lies in the Atlantic? They went so 596 00:34:58,280 --> 00:35:00,759 Speaker 1: hard on that. Oh yeah, Trump trumpe the military and 597 00:35:00,800 --> 00:35:04,560 Speaker 1: thinks they're losers. They really thought that was gonna stick. Unbelievable. 598 00:35:04,960 --> 00:35:07,400 Speaker 1: But he is running against the media, and he's running 599 00:35:07,400 --> 00:35:11,040 Speaker 1: against the rhinos. He's running against people who really want 600 00:35:11,040 --> 00:35:12,920 Speaker 1: their powerback. You can tell some of them have started 601 00:35:12,960 --> 00:35:14,920 Speaker 1: to emerge a little bit in the public sphere. Again, 602 00:35:15,280 --> 00:35:17,720 Speaker 1: I'm not talking about those weirdos at the Lincoln Project. 603 00:35:18,000 --> 00:35:21,200 Speaker 1: I mean others who have been sidelined because they were 604 00:35:21,239 --> 00:35:24,680 Speaker 1: wrong about Trump and then instead of working with the administration. 605 00:35:24,880 --> 00:35:27,399 Speaker 1: You know, any Republican could have been, all right, I'm 606 00:35:27,400 --> 00:35:30,640 Speaker 1: gonna try. I wasn't for Trump originally, but I'm going 607 00:35:30,680 --> 00:35:34,560 Speaker 1: to try to help shape his administration and public policy 608 00:35:34,600 --> 00:35:38,359 Speaker 1: as best I can for the most favorable and most 609 00:35:38,360 --> 00:35:42,040 Speaker 1: conservative and constitutionally sound outcomes. I'm gonna call balls and 610 00:35:42,120 --> 00:35:48,400 Speaker 1: strikes completely, you know, respectable, sound, sound approach to the 611 00:35:48,440 --> 00:35:51,520 Speaker 1: Trump administration. But there were some Republicans who decided, now 612 00:35:52,480 --> 00:35:55,640 Speaker 1: I'm just going to be on the sidelines throwing tomatoes, 613 00:35:55,680 --> 00:35:59,160 Speaker 1: not just at Trump but at Trump's supporters too, right, 614 00:35:59,239 --> 00:36:01,919 Speaker 1: that was the the call they made. And look, let's 615 00:36:01,920 --> 00:36:05,320 Speaker 1: be honest about it, it was the wrong call, Okay. 616 00:36:05,640 --> 00:36:08,719 Speaker 1: And now they're seeing an opportunity of Trump loses to 617 00:36:08,800 --> 00:36:12,239 Speaker 1: go back into being the opposition against Biden, which will 618 00:36:12,280 --> 00:36:14,080 Speaker 1: be a very comfortable place for a lot of people 619 00:36:14,080 --> 00:36:15,799 Speaker 1: in the media. I'll just say this right now, all 620 00:36:15,840 --> 00:36:17,960 Speaker 1: of a sudden, everybody on the right, we'll say, all right, well, 621 00:36:18,000 --> 00:36:20,359 Speaker 1: at least we know we know who the opposition is, 622 00:36:20,440 --> 00:36:23,560 Speaker 1: so there will be that shift and change. But for 623 00:36:23,600 --> 00:36:28,600 Speaker 1: the overall the mainstream media, Trump's victory would be It's 624 00:36:28,640 --> 00:36:33,640 Speaker 1: just it's necessary. It's a necessary corrective to their dishonesty 625 00:36:33,880 --> 00:36:37,920 Speaker 1: and to the terrible stuff that they've done to their profession. 626 00:36:37,960 --> 00:36:41,040 Speaker 1: I mean, people shouldn't think of journalists as as as 627 00:36:41,080 --> 00:36:43,200 Speaker 1: an ethical profession. I mean they should really think of 628 00:36:43,280 --> 00:36:46,520 Speaker 1: journalists the way people think of slip and fall attorneys. 629 00:36:47,040 --> 00:36:48,640 Speaker 1: You know, they should think of journalists the way they 630 00:36:48,640 --> 00:36:52,480 Speaker 1: think of people that are, you know, pushing drugs for 631 00:36:52,560 --> 00:36:55,160 Speaker 1: big Farma out there, you know, the big big Farma 632 00:36:55,239 --> 00:36:57,919 Speaker 1: push with the sales reps and everything for years and years. 633 00:36:58,120 --> 00:37:01,759 Speaker 1: Who were you know, there was a lot of very 634 00:37:01,760 --> 00:37:04,000 Speaker 1: expensive booze and strip clubs and stuff for a while. 635 00:37:04,000 --> 00:37:05,960 Speaker 1: They're in the mid two thousands. I know doctors who 636 00:37:06,000 --> 00:37:08,440 Speaker 1: have told these stories about this from the big farmer 637 00:37:08,480 --> 00:37:12,799 Speaker 1: companies using very often attractive and female sales reps to 638 00:37:12,800 --> 00:37:16,040 Speaker 1: get deals done. So, you know, when you think of 639 00:37:16,120 --> 00:37:19,680 Speaker 1: journalists not as these guardians of the republic, but as 640 00:37:19,680 --> 00:37:23,640 Speaker 1: a profession, they're like actors with less talent. That's all 641 00:37:23,640 --> 00:37:27,120 Speaker 1: I'm trying to say. Really, and many of them are 642 00:37:27,320 --> 00:37:29,799 Speaker 1: about as well read as actors, which is not really 643 00:37:30,320 --> 00:37:32,160 Speaker 1: well read at all. All you have to do is 644 00:37:32,200 --> 00:37:34,640 Speaker 1: turn on CNN for about five minutes and you'll see 645 00:37:34,640 --> 00:37:37,520 Speaker 1: plenty of that. So I want Trump to win for many, 646 00:37:37,520 --> 00:37:40,799 Speaker 1: many reasons, but one of the biggest ones is the 647 00:37:40,840 --> 00:37:46,080 Speaker 1: repudiation of the press, core of the mainstream media. The 648 00:37:46,160 --> 00:37:50,439 Speaker 1: first time around, Remember, they were complicit in a sense, 649 00:37:50,480 --> 00:37:52,360 Speaker 1: that's how they view it. They were complicit in his 650 00:37:52,440 --> 00:37:55,680 Speaker 1: victory because they were covering his rallies live and they 651 00:37:55,719 --> 00:37:59,120 Speaker 1: gave him so much attention. Right, you remember that this 652 00:37:59,280 --> 00:38:03,759 Speaker 1: time around they took an approach of not picking up 653 00:38:03,800 --> 00:38:09,360 Speaker 1: his rallies, suppressing information, doing everything they possibly could to 654 00:38:09,520 --> 00:38:14,120 Speaker 1: stack the deck against him. And the President is right 655 00:38:14,160 --> 00:38:17,160 Speaker 1: when he says this is the plan. Play eight. Here's 656 00:38:17,160 --> 00:38:19,719 Speaker 1: a guy gets caught and the media doesn't want to 657 00:38:19,719 --> 00:38:22,000 Speaker 1: write about it. You know what they call it, not 658 00:38:22,160 --> 00:38:25,560 Speaker 1: freedom of the press, suppression of the press. We don't 659 00:38:25,560 --> 00:38:28,560 Speaker 1: have freedom of the press. You know what we don't have. 660 00:38:28,960 --> 00:38:32,120 Speaker 1: You understand that we don't have freedom of the press. 661 00:38:32,440 --> 00:38:35,640 Speaker 1: We have suppression of the press. And there's never been 662 00:38:35,680 --> 00:38:40,120 Speaker 1: a time when it's more obvious than right now. He's right, 663 00:38:40,800 --> 00:38:43,000 Speaker 1: We've seen who the journals are. I've been saying this 664 00:38:43,080 --> 00:38:45,920 Speaker 1: for a long time. One of the biggest transformations in 665 00:38:45,960 --> 00:38:49,400 Speaker 1: public perception for those who care about the news media 666 00:38:49,440 --> 00:38:52,240 Speaker 1: and the way they cover national politics and issues in general. 667 00:38:52,440 --> 00:38:55,240 Speaker 1: And remember the way the news media covers issues shapes 668 00:38:55,320 --> 00:38:59,359 Speaker 1: perceptions that affect how we view culture, how we view 669 00:38:59,360 --> 00:39:03,000 Speaker 1: even popca culture. Right there, There's an entire narrative creation 670 00:39:03,120 --> 00:39:06,640 Speaker 1: machinery out there, and most of it now is being 671 00:39:06,680 --> 00:39:10,480 Speaker 1: put either on your TV screen or on your computer screen. 672 00:39:10,520 --> 00:39:13,839 Speaker 1: This very little actual newspaper reading going on these days 673 00:39:13,840 --> 00:39:17,880 Speaker 1: compared to what it used to be. But the President 674 00:39:17,960 --> 00:39:23,719 Speaker 1: understands that they have created this whole apparatus under the 675 00:39:23,719 --> 00:39:27,640 Speaker 1: premise that they're presenting they're giving you information just as 676 00:39:27,680 --> 00:39:29,440 Speaker 1: you need it, just to make sure you're informed, when 677 00:39:29,440 --> 00:39:31,840 Speaker 1: really they're trying to shape your opinion, shape your ideas 678 00:39:32,600 --> 00:39:35,000 Speaker 1: all the time. And we've entered this period of suppression. 679 00:39:35,560 --> 00:39:37,560 Speaker 1: But we also because of social media, and this is 680 00:39:37,560 --> 00:39:40,399 Speaker 1: a point I often bring up, they can't help it. 681 00:39:40,440 --> 00:39:44,160 Speaker 1: They show us who they are. You know, you show 682 00:39:44,239 --> 00:39:48,120 Speaker 1: me a journalist's Twitter feed. I can look at it 683 00:39:48,440 --> 00:39:51,440 Speaker 1: for ten minutes. I'm sorry, ten seconds, not ten minutes. 684 00:39:51,719 --> 00:39:53,200 Speaker 1: I can look at it for ten seconds and I 685 00:39:53,239 --> 00:39:55,640 Speaker 1: can tell you if this person is on the right 686 00:39:55,719 --> 00:39:58,600 Speaker 1: or on the left. That's how easy this game is 687 00:39:59,120 --> 00:40:01,799 Speaker 1: and anybody else in the business, and honestly, anybody who's 688 00:40:01,840 --> 00:40:05,520 Speaker 1: even a strong consumer of news can do the same thing. 689 00:40:05,640 --> 00:40:08,160 Speaker 1: We all see it. We all know who are they retweeting, 690 00:40:08,400 --> 00:40:11,960 Speaker 1: what stories are they sharing from what outlets. It's not 691 00:40:12,040 --> 00:40:15,520 Speaker 1: hard to understand this, and this is a return to honesty. 692 00:40:15,560 --> 00:40:18,239 Speaker 1: I actually think this is better if we crush this 693 00:40:18,320 --> 00:40:22,319 Speaker 1: idea of an unbiased, neutral press corps and everyone has 694 00:40:22,360 --> 00:40:25,240 Speaker 1: to just say, look, I'm a conservative and I report 695 00:40:25,280 --> 00:40:28,799 Speaker 1: on the news, because everyone has to have facts that 696 00:40:28,840 --> 00:40:31,880 Speaker 1: back up they're reporting, right, you need that, that's the 697 00:40:31,920 --> 00:40:34,680 Speaker 1: basis for the story. But that's true of propaganda as well. 698 00:40:35,719 --> 00:40:38,239 Speaker 1: That's true in foreign countries where they're state media. The 699 00:40:38,320 --> 00:40:41,799 Speaker 1: regime can't lie about everything. They have to tell the 700 00:40:41,840 --> 00:40:45,120 Speaker 1: truth about some things or else. It doesn't have any 701 00:40:45,160 --> 00:40:49,000 Speaker 1: real impact in shaping that public perception. But we have 702 00:40:49,360 --> 00:40:51,560 Speaker 1: journals that show us who they are. And then on 703 00:40:51,640 --> 00:40:54,600 Speaker 1: top of that, we have on Capitol Hill, as you 704 00:40:54,600 --> 00:41:00,560 Speaker 1: saw yesterday, tech titans who work hand in glove with 705 00:41:00,680 --> 00:41:04,960 Speaker 1: the national media establishment to push certain ideas and to 706 00:41:05,000 --> 00:41:14,120 Speaker 1: suppress others. Ted Cruz had some fiery moments to this end. 707 00:41:14,239 --> 00:41:18,759 Speaker 1: Here he is addressing the CEO of Twitter who has 708 00:41:18,760 --> 00:41:21,759 Speaker 1: got quite a beard. As a side note, but here 709 00:41:21,760 --> 00:41:25,520 Speaker 1: he is play Cliff two. You forced the political reporter 710 00:41:25,640 --> 00:41:27,959 Speaker 1: to take down his post about the New York Post 711 00:41:28,000 --> 00:41:30,279 Speaker 1: as well? Is that correct with him that twenty four 712 00:41:30,280 --> 00:41:33,160 Speaker 1: our period? Yes, but we you know, as the policy 713 00:41:33,200 --> 00:41:39,960 Speaker 1: has changed. Anyone the New York Post censor political presumably 714 00:41:40,000 --> 00:41:42,000 Speaker 1: you can censor the New York Times or any other 715 00:41:42,120 --> 00:41:47,360 Speaker 1: media outlet. Mister Dorsey, who the hell elected you and 716 00:41:47,600 --> 00:41:50,120 Speaker 1: put you in charge of what the media are allowed 717 00:41:50,120 --> 00:41:53,000 Speaker 1: to report and what the American people are allowed to hear? 718 00:41:53,360 --> 00:41:57,160 Speaker 1: And why do you persist in behaving as a democratic 719 00:41:57,280 --> 00:42:03,439 Speaker 1: superpack silencing news to the contrary your political Well, we're 720 00:42:03,480 --> 00:42:07,000 Speaker 1: not doing that, and this is why I opened this 721 00:42:07,239 --> 00:42:11,000 Speaker 1: hearing with calls from more transparency. We realize we need 722 00:42:11,040 --> 00:42:14,160 Speaker 1: to earn trust more. We realize that more accountability is 723 00:42:14,200 --> 00:42:16,800 Speaker 1: needed to show our intentions in the show the outcomes. 724 00:42:16,800 --> 00:42:19,839 Speaker 1: Thank you. So I hear the concerns and acknowledge them, 725 00:42:19,920 --> 00:42:23,680 Speaker 1: but we want to fix it with more transparency. Issue. Yeah, 726 00:42:23,760 --> 00:42:28,840 Speaker 1: let's just go with transparency. That's gonna do it. This 727 00:42:29,040 --> 00:42:32,120 Speaker 1: is like the Biden court packing. I'm gonna I'm gonna 728 00:42:32,200 --> 00:42:35,640 Speaker 1: form a committee, and the committee is gonna look at things, 729 00:42:35,880 --> 00:42:39,880 Speaker 1: you know, like a committee, and they're gonna be committee. 730 00:42:39,920 --> 00:42:43,560 Speaker 1: Iizing to talk about the things and we're gonna get 731 00:42:43,560 --> 00:42:46,319 Speaker 1: the great ideas and build back better naptime. I mean, 732 00:42:46,360 --> 00:42:49,000 Speaker 1: that's basically what you get from Biden on that issue, 733 00:42:49,000 --> 00:42:51,840 Speaker 1: and what you're getting from Jack Doors is just another dodge. 734 00:42:52,239 --> 00:42:56,839 Speaker 1: We're trying to build build up public trust. They don't 735 00:42:56,840 --> 00:42:58,160 Speaker 1: even they don't know the first thing of building a 736 00:42:58,160 --> 00:43:00,280 Speaker 1: public trust. You know what they should do. They should 737 00:43:00,280 --> 00:43:04,960 Speaker 1: bring in somebody who is effectively treated like an independent 738 00:43:05,520 --> 00:43:10,520 Speaker 1: ombudsman within Twitter from the right, who whenever they've got 739 00:43:10,520 --> 00:43:13,440 Speaker 1: a question about something or whenever they are about to 740 00:43:13,480 --> 00:43:15,560 Speaker 1: pull a move like we're gonna ban this person, We're 741 00:43:15,560 --> 00:43:18,279 Speaker 1: gonna ban that person. There should be a representative from 742 00:43:18,320 --> 00:43:21,480 Speaker 1: the right inside of Twitter, and then we should know 743 00:43:21,520 --> 00:43:23,719 Speaker 1: who this person is who gets to say, hold on 744 00:43:23,760 --> 00:43:26,759 Speaker 1: a second, what do you mean, why are you doing that? Now? 745 00:43:26,880 --> 00:43:28,520 Speaker 1: I know Twitter is not going to do this, but 746 00:43:28,560 --> 00:43:32,800 Speaker 1: I'm just saying their transparency, it's gonna be transparency for 747 00:43:32,840 --> 00:43:36,600 Speaker 1: the next ten years. Every time it's a conservative who 748 00:43:36,640 --> 00:43:40,839 Speaker 1: gets screwed over here, every time it's somebody on the right, 749 00:43:40,920 --> 00:43:44,480 Speaker 1: who gets d platformed or a story that's damaging the 750 00:43:44,520 --> 00:43:47,640 Speaker 1: Democrats that get suppressed, And they say, oh, but but 751 00:43:47,880 --> 00:43:50,560 Speaker 1: you know, it's our terms of service and the algorithms 752 00:43:50,600 --> 00:43:54,640 Speaker 1: and the book. No, it's because the social media giants 753 00:43:54,680 --> 00:43:59,440 Speaker 1: are overrun with lib activists and even the more senior 754 00:43:59,520 --> 00:44:02,400 Speaker 1: and more intelligent people who built these platforms in the 755 00:44:02,440 --> 00:44:05,840 Speaker 1: earlier days, who are the founders You have to remember, 756 00:44:06,160 --> 00:44:09,919 Speaker 1: you know, I think Mark Zuckerberg is probably pretty reasonable 757 00:44:10,120 --> 00:44:14,279 Speaker 1: on a lot of this stuff individually. But these companies 758 00:44:14,880 --> 00:44:19,240 Speaker 1: are terrified. Even the CEOs are terrified of their woke 759 00:44:19,600 --> 00:44:24,680 Speaker 1: twenty five to thirty five year olds who are completely insane, 760 00:44:24,719 --> 00:44:28,040 Speaker 1: who reject the First Amendment in principle, who do not 761 00:44:28,200 --> 00:44:31,000 Speaker 1: believe in the Bill of Rights, and who really think 762 00:44:31,239 --> 00:44:36,440 Speaker 1: that speech that they don't like is violence, and they're 763 00:44:36,520 --> 00:44:41,839 Speaker 1: completely impossible to reason with it all. They are embedded, 764 00:44:41,880 --> 00:44:44,920 Speaker 1: They are dug in at these companies, and these are 765 00:44:44,920 --> 00:44:50,600 Speaker 1: the most powerful, well funded, wealthy media corporations now on 766 00:44:50,680 --> 00:44:56,200 Speaker 1: the planet. Google, Facebook, Twitter. They are determining what your 767 00:44:56,400 --> 00:45:01,360 Speaker 1: kids see and learn. They are determining the very verbiage 768 00:45:01,360 --> 00:45:05,359 Speaker 1: that they read on everything from news stories to how 769 00:45:05,360 --> 00:45:08,840 Speaker 1: to use a crock pot everything. That's the kind of 770 00:45:08,880 --> 00:45:11,920 Speaker 1: control that they wield. It's more than the mainstream media 771 00:45:12,000 --> 00:45:16,440 Speaker 1: had in the sixties and seventies when the journos realized, Hey, 772 00:45:16,640 --> 00:45:18,640 Speaker 1: we don't have to actually win the argument or present 773 00:45:18,719 --> 00:45:21,560 Speaker 1: better facts. We can just control all the newsrooms and 774 00:45:21,600 --> 00:45:25,640 Speaker 1: the Democrats can start winning. And it worked, and it worked. 775 00:45:26,520 --> 00:45:29,680 Speaker 1: That's where we are. We need to understand what battle 776 00:45:29,680 --> 00:45:33,200 Speaker 1: we're really fighting. Transparency. Yeah, if we only have more 777 00:45:33,239 --> 00:45:36,120 Speaker 1: access to their crappy decisions, then all of a sudden, 778 00:45:36,320 --> 00:45:39,640 Speaker 1: they'll be a free and fair information flow in this country. 779 00:45:40,800 --> 00:45:43,680 Speaker 1: Thanks for listening to the Best of Buck Daily podcast. 780 00:45:44,000 --> 00:45:47,320 Speaker 1: For more buck head to Butsexton dot com and remember 781 00:45:47,360 --> 00:45:52,560 Speaker 1: to subscribe to the podcast. It's a powerful party, and 782 00:45:52,680 --> 00:45:55,360 Speaker 1: the party is totally joined with the fake news media, 783 00:45:55,440 --> 00:45:59,440 Speaker 1: the lamestream media right there, and they're totally joined with 784 00:45:59,520 --> 00:46:03,360 Speaker 1: the big big tech. I don't know section two thirty. 785 00:46:03,400 --> 00:46:07,560 Speaker 1: Does anyone know what section two thirty? Section two thirty, 786 00:46:07,600 --> 00:46:12,080 Speaker 1: I think, wah? You know, tremendous corruption in behalf of 787 00:46:12,120 --> 00:46:15,200 Speaker 1: the Biden tremendous Do you know? You can't find it 788 00:46:15,320 --> 00:46:18,120 Speaker 1: anywhere in the media other than the New York Post, 789 00:46:18,200 --> 00:46:20,080 Speaker 1: which are very proud of and they endorsed me there. 790 00:46:20,080 --> 00:46:23,840 Speaker 1: That they do, by the way, but you can't find 791 00:46:23,840 --> 00:46:28,319 Speaker 1: it anywhere in the media anywhere. It's not on any 792 00:46:28,400 --> 00:46:31,360 Speaker 1: of they It's not in Facebook. They have trending. They 793 00:46:31,360 --> 00:46:33,959 Speaker 1: always put me trending. They'll give you twenty five things 794 00:46:33,960 --> 00:46:36,200 Speaker 1: that I've done over my life. They make it negative, 795 00:46:36,239 --> 00:46:40,400 Speaker 1: always negative trending. But sleepy Joe Biden, with all the corruption, 796 00:46:40,520 --> 00:46:42,440 Speaker 1: all the theft, all the money they took out of 797 00:46:42,480 --> 00:46:45,920 Speaker 1: these countries that we end up paying for in spades, 798 00:46:46,440 --> 00:46:48,800 Speaker 1: you can't find it on Big Tech, And you can't 799 00:46:48,800 --> 00:46:51,440 Speaker 1: find it at the Washington Post and New York Times 800 00:46:51,480 --> 00:46:55,680 Speaker 1: because they're crooked. They're dishonest, and we caught them. Right now, 801 00:46:56,440 --> 00:46:59,440 Speaker 1: as I speak to you, I scan the SCNN dot 802 00:46:59,480 --> 00:47:02,120 Speaker 1: com web site. Right cnn dot com is one of 803 00:47:02,160 --> 00:47:05,640 Speaker 1: the biggest liberal news sites in the world. They've got 804 00:47:05,719 --> 00:47:10,760 Speaker 1: stories like Economy's final report card before election shows stunning growth. 805 00:47:11,480 --> 00:47:15,279 Speaker 1: That's not the whole story. Oh, of course, Trump is 806 00:47:15,320 --> 00:47:18,040 Speaker 1: taking credit for the biggest and best GDP in US history. 807 00:47:18,640 --> 00:47:21,360 Speaker 1: Here are the facts. This is a giant Okay, the 808 00:47:21,440 --> 00:47:25,320 Speaker 1: GDP is really good, but actually it's not really Trump. 809 00:47:25,360 --> 00:47:27,480 Speaker 1: That's what that's what they're doing here on the page. 810 00:47:29,560 --> 00:47:33,279 Speaker 1: And then there's some stuff on Hurricane Zetah. Thoughts and 811 00:47:33,320 --> 00:47:38,120 Speaker 1: prayers go out to everybody down in Louisiana, Mississippi, that area. 812 00:47:38,120 --> 00:47:39,680 Speaker 1: I know they've been hit pretty hard by this one. 813 00:47:40,640 --> 00:47:44,480 Speaker 1: Then they've got push just slow testing tracks with dramatic 814 00:47:44,520 --> 00:47:48,160 Speaker 1: decline in one key state. So that's right, the Trump. 815 00:47:49,040 --> 00:47:53,200 Speaker 1: You scan the front page of CNN dot com and 816 00:47:53,360 --> 00:47:56,640 Speaker 1: what it's telling you is Trump should get no credit 817 00:47:56,680 --> 00:48:00,280 Speaker 1: for the massive GDP growth quarter we just we just had. 818 00:48:00,760 --> 00:48:04,440 Speaker 1: And also they're trying to lie about COVID numbers right 819 00:48:04,480 --> 00:48:07,160 Speaker 1: before the election by slowing down testing. That that's the 820 00:48:07,200 --> 00:48:10,840 Speaker 1: main stuff on CNN. Is there anything about Hunter Biden, 821 00:48:10,920 --> 00:48:14,000 Speaker 1: Hunter Biden's emails. In fact, I have yet to see 822 00:48:15,120 --> 00:48:19,200 Speaker 1: I have yet to see a single Hunter Biden story 823 00:48:19,239 --> 00:48:22,520 Speaker 1: of any kind on CNN other than people who are 824 00:48:22,560 --> 00:48:25,160 Speaker 1: doing media criticism of those outlets that are talking about 825 00:48:25,200 --> 00:48:28,879 Speaker 1: Hunter Biden. Bradstlter is like, it's so bad that they're 826 00:48:28,920 --> 00:48:31,759 Speaker 1: doing we're out of journalists. We have those part of 827 00:48:31,840 --> 00:48:37,960 Speaker 1: it Axtagrad. You go to NBC News, the economy is 828 00:48:37,960 --> 00:48:43,600 Speaker 1: showing signs of recovery. Many black Americans are not. I 829 00:48:43,640 --> 00:48:45,600 Speaker 1: don't even know. And they have that under the title 830 00:48:45,719 --> 00:48:52,440 Speaker 1: racial reckoning. Record turnout in Texas largest county could be 831 00:48:52,520 --> 00:48:57,600 Speaker 1: key to flipping a solidly red state. This is NBC News, Okay, 832 00:48:57,640 --> 00:48:59,840 Speaker 1: this is one of the big, you know, kind of 833 00:49:00,600 --> 00:49:05,040 Speaker 1: water down socialist, left wing democrat news sites. And you know, 834 00:49:05,080 --> 00:49:08,400 Speaker 1: this is the big corporate friendly, family friendly brand, you know, 835 00:49:08,520 --> 00:49:11,759 Speaker 1: NBC News. Brian Williams not anymore now it's Les their whole. 836 00:49:11,840 --> 00:49:14,359 Speaker 1: But I just love it that Brian Williams was their guy, 837 00:49:15,280 --> 00:49:17,279 Speaker 1: and then they have in the center. I mean, I 838 00:49:17,280 --> 00:49:19,080 Speaker 1: just want to point out what what when I talk 839 00:49:19,120 --> 00:49:22,680 Speaker 1: to you about narrative and propaganda and what the other 840 00:49:22,680 --> 00:49:25,879 Speaker 1: side does. We're five days from an election and they're 841 00:49:25,880 --> 00:49:31,480 Speaker 1: telling you Texas might get flipped blue. You know, the 842 00:49:31,520 --> 00:49:34,920 Speaker 1: black community is struggling in ways that show that, you know, 843 00:49:34,960 --> 00:49:37,960 Speaker 1: Trump is not getting getting it done here with the economy. 844 00:49:38,080 --> 00:49:40,040 Speaker 1: I mean, I I'm just looking at the headlines. I'm 845 00:49:40,040 --> 00:49:42,960 Speaker 1: telling you, I'm not even reading these articles necessarily, because 846 00:49:42,960 --> 00:49:45,840 Speaker 1: most people just look at the front page, read some headlines, 847 00:49:45,840 --> 00:49:49,000 Speaker 1: and go about their business. Very few people, when you 848 00:49:49,040 --> 00:49:51,600 Speaker 1: look at news stories, get past the first three paragraphs 849 00:49:52,239 --> 00:49:54,440 Speaker 1: that's the way it actually works. But they have in 850 00:49:54,480 --> 00:49:59,359 Speaker 1: the center here a family endeavor. Oh, I'm sorry they do. 851 00:49:59,600 --> 00:50:01,960 Speaker 1: They might just have This must be a it's about 852 00:50:02,080 --> 00:50:06,480 Speaker 1: family corruption. This must be a Hunter Biden story, right. 853 00:50:06,640 --> 00:50:12,640 Speaker 1: A family endeavor emails show how the mix of personal 854 00:50:12,640 --> 00:50:17,480 Speaker 1: and official Oh no, wait, emails show how the Pompeios 855 00:50:18,200 --> 00:50:22,760 Speaker 1: mixed personal and official business. Isn't this isn't this incredible gaslight. 856 00:50:22,880 --> 00:50:25,680 Speaker 1: This is a top story. This is the the banner. 857 00:50:25,800 --> 00:50:31,359 Speaker 1: This is in the the first eyeline that you will 858 00:50:31,480 --> 00:50:34,520 Speaker 1: see when you click on NBC news dot com. A 859 00:50:34,600 --> 00:50:38,200 Speaker 1: family endeavor emails show how Pompeios mixed personal official business. 860 00:50:39,360 --> 00:50:41,560 Speaker 1: That's right. They're not going to cover the Hunter Biden 861 00:50:41,640 --> 00:50:44,880 Speaker 1: emails and the personal business of Joe Biden, but they 862 00:50:44,920 --> 00:50:47,919 Speaker 1: will cover the Pompeio emails. You know what they've got. 863 00:50:48,280 --> 00:50:50,799 Speaker 1: They've got Pompeo for so far. They think that one 864 00:50:50,840 --> 00:50:53,520 Speaker 1: of his assistants may have like walked his dog at 865 00:50:53,560 --> 00:50:57,560 Speaker 1: one point or something. You know, that's what that's what 866 00:50:57,640 --> 00:51:00,400 Speaker 1: they really go for here. That's the kind of stuff 867 00:51:00,440 --> 00:51:04,000 Speaker 1: that really upsets them, or might have picked up his 868 00:51:04,080 --> 00:51:06,239 Speaker 1: dry cleaning. One of Pompey, one of the Secretary of 869 00:51:06,239 --> 00:51:09,560 Speaker 1: State's assistants may have done something that's technically a personal favor, 870 00:51:09,960 --> 00:51:14,960 Speaker 1: and you know, oh my gosh, I mean, this is 871 00:51:15,000 --> 00:51:18,040 Speaker 1: this is what we're up against. Friends. So there's there's 872 00:51:18,080 --> 00:51:21,000 Speaker 1: just a blackout as we know about the Hunter Biden 873 00:51:21,000 --> 00:51:22,839 Speaker 1: emails in those stories, and that's not going to change. 874 00:51:22,880 --> 00:51:26,160 Speaker 1: That's the media's perspective on all this. They they are 875 00:51:26,200 --> 00:51:29,759 Speaker 1: all in for Biden. That's not going to change. There 876 00:51:29,840 --> 00:51:32,960 Speaker 1: was something that was very strange, as you know, Tucker 877 00:51:33,040 --> 00:51:34,960 Speaker 1: Carlson's show. And I've been saying Tucker Show is the 878 00:51:35,000 --> 00:51:37,000 Speaker 1: best show on Fox and that's been the case all year, 879 00:51:37,520 --> 00:51:41,799 Speaker 1: and the ratings obviously show that now. And it's really 880 00:51:41,840 --> 00:51:44,040 Speaker 1: it's the only Fox News show that's had me on 881 00:51:44,160 --> 00:51:45,960 Speaker 1: this year, which I also think is interesting, the only 882 00:51:45,960 --> 00:51:47,439 Speaker 1: show at Fox News that has me on a Tucker 883 00:51:47,480 --> 00:51:54,560 Speaker 1: Carlson Show. But Tucker did that great interview with Babo Lynsky, 884 00:51:54,760 --> 00:51:58,880 Speaker 1: who is very compelling, very credible, earlier this week. But 885 00:51:58,960 --> 00:52:02,560 Speaker 1: then last night on show, Tucker had to tell everybody 886 00:52:02,600 --> 00:52:05,319 Speaker 1: about something else that happened play clip twenty. So on 887 00:52:05,360 --> 00:52:08,080 Speaker 1: Monday of this week, we received from a source a 888 00:52:08,120 --> 00:52:11,520 Speaker 1: collection of confidential documents related to the Biden family. We 889 00:52:11,600 --> 00:52:14,440 Speaker 1: believe those documents are authentic, they're real, and they're damning. 890 00:52:15,040 --> 00:52:18,040 Speaker 1: At the time they received them, my executive producer, Justin 891 00:52:18,080 --> 00:52:20,320 Speaker 1: Wells and I were in Los Angeles preparing to interview 892 00:52:20,400 --> 00:52:23,600 Speaker 1: Tony Bobolynski about the Biden's business dealings in China, Ukraine 893 00:52:23,600 --> 00:52:26,400 Speaker 1: and other countries. So we texted a producer in New 894 00:52:26,440 --> 00:52:28,359 Speaker 1: York and we asked him to send those documents to 895 00:52:28,480 --> 00:52:31,360 Speaker 1: us in LA and he did that. So Monday afternoon 896 00:52:31,400 --> 00:52:34,600 Speaker 1: of this week, he shipped those documents overnight to California 897 00:52:34,640 --> 00:52:37,560 Speaker 1: with a large national carrier, a brand name company that 898 00:52:37,680 --> 00:52:41,000 Speaker 1: we've used, You've used countless times with never a single problem. 899 00:52:41,719 --> 00:52:46,160 Speaker 1: But the Biden documents never arrived in Los Angeles. Tuesday morning, 900 00:52:46,160 --> 00:52:48,640 Speaker 1: we received word from the shipping company that our package 901 00:52:48,640 --> 00:52:51,920 Speaker 1: had been opened and the contents were missing. The documents 902 00:52:51,960 --> 00:52:55,080 Speaker 1: had disappeared. Now, to its credit, the company took this 903 00:52:55,280 --> 00:52:58,600 Speaker 1: very seriously and immediately began a search. They traced the 904 00:52:58,719 --> 00:53:01,640 Speaker 1: envelope from the moment our producers dropped it off in 905 00:53:01,760 --> 00:53:05,200 Speaker 1: Manhattan on Monday all the way to three forty four 906 00:53:05,320 --> 00:53:08,560 Speaker 1: am yesterday morning. That's what an employee of a sorting 907 00:53:08,560 --> 00:53:12,240 Speaker 1: facility in another state noticed that our package was open 908 00:53:12,560 --> 00:53:15,800 Speaker 1: and empty. Apparently it had been opened, but they found nothing. 909 00:53:16,719 --> 00:53:20,560 Speaker 1: Those documents have vanished as if tonight. The company has 910 00:53:20,680 --> 00:53:24,920 Speaker 1: no idea and no working theory, even no idea what happened. 911 00:53:26,120 --> 00:53:29,600 Speaker 1: I'm guessing this was UPS. It could be FedEx. I 912 00:53:29,760 --> 00:53:31,400 Speaker 1: he didn't. They don't want to say which company, but 913 00:53:31,440 --> 00:53:34,400 Speaker 1: it's problem. I'm sorry. No, I'm guessing it was FedEx, 914 00:53:34,480 --> 00:53:36,399 Speaker 1: not UPS, well, as it could be either. Who cares. 915 00:53:36,440 --> 00:53:42,040 Speaker 1: The point is they have pretty good, you know, point 916 00:53:42,080 --> 00:53:49,520 Speaker 1: to point monitoring, and their their loss is less than 917 00:53:49,600 --> 00:53:51,319 Speaker 1: what you get, especially for things if it's you know, 918 00:53:51,360 --> 00:53:54,960 Speaker 1: overnight it, if it's high priority, their loss level is 919 00:53:55,000 --> 00:53:57,360 Speaker 1: less even than the US Postal Service, which is loses 920 00:53:57,400 --> 00:53:59,720 Speaker 1: about one percent of the mail, as I understand it overall, 921 00:54:01,160 --> 00:54:03,840 Speaker 1: and they have no idea what happened. Somebody went in, 922 00:54:03,960 --> 00:54:06,279 Speaker 1: just happened to go in and get this. I look, 923 00:54:06,400 --> 00:54:10,200 Speaker 1: I don't have an answer here, and I you know, 924 00:54:10,280 --> 00:54:13,600 Speaker 1: I don't like baseless conspiracy theories at all. And I 925 00:54:13,640 --> 00:54:16,799 Speaker 1: have to also say that the impression I get is 926 00:54:16,800 --> 00:54:21,600 Speaker 1: that these were the only they were hard hard copy docs, documents, 927 00:54:22,200 --> 00:54:27,960 Speaker 1: and they didn't scan them and create copies. That's bad 928 00:54:28,040 --> 00:54:32,319 Speaker 1: information security practice. So look, people make mistakes. I get it, 929 00:54:32,880 --> 00:54:35,279 Speaker 1: very busy election cycle. And who really thinks that the 930 00:54:35,680 --> 00:54:37,520 Speaker 1: you know that the documents are going to disappear if 931 00:54:37,560 --> 00:54:39,680 Speaker 1: you send them FedEx or ups. I think very few 932 00:54:39,680 --> 00:54:43,480 Speaker 1: people would have. But here we are, here, we are 933 00:54:44,719 --> 00:54:49,120 Speaker 1: what could have happened here? Why would somebody go into 934 00:54:50,080 --> 00:54:54,440 Speaker 1: these documents are going too this package and take out 935 00:54:54,480 --> 00:54:57,399 Speaker 1: these pieces of paper of all the stuff out there 936 00:54:57,480 --> 00:55:00,680 Speaker 1: right now? I'm not a conspiracy theorist, but as you know, 937 00:55:00,719 --> 00:55:06,799 Speaker 1: I'm also not a coincidence theorist. Does anybody have a 938 00:55:06,840 --> 00:55:11,200 Speaker 1: plausible explanation for this? Does anybody want to try to 939 00:55:11,440 --> 00:55:14,400 Speaker 1: venture a guess as to what the company is baffled? 940 00:55:14,480 --> 00:55:17,200 Speaker 1: It's not like Tucker and Fox are saying, hey, something 941 00:55:17,200 --> 00:55:19,920 Speaker 1: weird happened and FedEx is like, well, you know, we're ups. 942 00:55:20,080 --> 00:55:23,720 Speaker 1: Those are the brakes. What They're like, whoa, this is weird? 943 00:55:24,800 --> 00:55:27,839 Speaker 1: This is weird. And I if what Tucker was saying 944 00:55:27,840 --> 00:55:29,200 Speaker 1: it is not true, I'm sure they would put out 945 00:55:29,200 --> 00:55:31,840 Speaker 1: a statement right away to say that's not fair. You know, 946 00:55:32,120 --> 00:55:34,720 Speaker 1: we we have an answer for this. It got stuck 947 00:55:34,719 --> 00:55:36,279 Speaker 1: in the sorting machine. And got ripped up bit of 948 00:55:36,280 --> 00:55:40,560 Speaker 1: whatever it is. But no, everyone's saying, yeah, something happened here. 949 00:55:42,920 --> 00:55:45,960 Speaker 1: What's the answer, you know, what do we really think 950 00:55:46,680 --> 00:55:51,520 Speaker 1: occurred in this instance? I don't. I don't know, but 951 00:55:51,680 --> 00:55:54,960 Speaker 1: it does seem pretty fishy and it seems like quite 952 00:55:55,000 --> 00:55:58,960 Speaker 1: a coincidence. How would they have known that these you 953 00:55:58,960 --> 00:56:02,319 Speaker 1: know that this document that these uh, this package had 954 00:56:02,520 --> 00:56:05,719 Speaker 1: Hunter Biden related documents in it. I have no idea. 955 00:56:06,080 --> 00:56:12,000 Speaker 1: Could it Could it just be a lightning strike situation? Maybe? 956 00:56:13,120 --> 00:56:18,640 Speaker 1: Do you think it is random? Random chance? I wouldn't 957 00:56:18,640 --> 00:56:19,160 Speaker 1: bet on it.