1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,360 --> 00:00:09,600 Speaker 1: Sexton Show podcast. Welcome back in Clay Travis, buck Sexton Show, 3 00:00:09,760 --> 00:00:15,600 Speaker 1: Buck under the Weather. We are tracking Capitol Hill movement 4 00:00:15,920 --> 00:00:22,080 Speaker 1: on the Biden agenda, in particular the infrastructure bill reportedly 5 00:00:22,239 --> 00:00:25,440 Speaker 1: going to be brought up for a vote today in 6 00:00:25,480 --> 00:00:29,920 Speaker 1: the House. But we finally got the details announced of 7 00:00:30,160 --> 00:00:34,360 Speaker 1: exactly what will be in the Budget Reconciliation Bill, and 8 00:00:34,440 --> 00:00:38,000 Speaker 1: I am reading from this right now. The framework cost 9 00:00:38,280 --> 00:00:41,680 Speaker 1: one point eight five trillion dollars. Of course, that is 10 00:00:41,720 --> 00:00:46,080 Speaker 1: not an accurate rendition of what this truly cost because 11 00:00:46,360 --> 00:00:50,760 Speaker 1: it's not expanding off into the future. They term limit this, 12 00:00:51,520 --> 00:00:54,320 Speaker 1: and the reality is this is a five to seven 13 00:00:54,480 --> 00:00:58,440 Speaker 1: trillion dollars cost in the years ahead. But this is 14 00:00:58,480 --> 00:01:03,000 Speaker 1: what is in the bill. Five hundred and fifty five 15 00:01:03,400 --> 00:01:08,840 Speaker 1: billion dollars to fight climate change through tax incentives for 16 00:01:09,040 --> 00:01:14,399 Speaker 1: low emission sources of energy four hundred billion dollars. By 17 00:01:14,440 --> 00:01:16,320 Speaker 1: the way, I'm reading from the New York Times, which 18 00:01:16,360 --> 00:01:20,880 Speaker 1: has this bill itemized. Just fyi, this has just come 19 00:01:20,920 --> 00:01:25,520 Speaker 1: out in the last hour or so. Four hundred billion 20 00:01:25,600 --> 00:01:30,600 Speaker 1: dollars to provide universal pre kindergarten to three and four 21 00:01:30,680 --> 00:01:35,320 Speaker 1: year olds, and to they say, reduce healthcare costs for 22 00:01:35,400 --> 00:01:39,160 Speaker 1: working families earning up to three hundred thousand dollars a year, 23 00:01:40,080 --> 00:01:44,440 Speaker 1: two hundred billion dollars to give parents a tax credit 24 00:01:44,520 --> 00:01:49,880 Speaker 1: through twenty twenty two, to basically pay parents for having 25 00:01:50,040 --> 00:01:55,240 Speaker 1: their children, a hundred and sixty five billion, to reduce 26 00:01:55,440 --> 00:02:00,600 Speaker 1: healthcare premiums, one hundred and fifty billion, to reduce a 27 00:02:00,640 --> 00:02:04,960 Speaker 1: waiting list for in home care, one hundred and fifty billion, 28 00:02:05,440 --> 00:02:10,919 Speaker 1: to build one million affordable housing union units, one hundred 29 00:02:11,000 --> 00:02:15,680 Speaker 1: billion for immigration in part. And we got to get 30 00:02:15,680 --> 00:02:18,160 Speaker 1: into what exactly these details are, because this is just 31 00:02:18,200 --> 00:02:25,360 Speaker 1: a rough outline to reduce a backlog of nine million visas. 32 00:02:25,400 --> 00:02:29,640 Speaker 1: And remember the House Democrats have already passed a bill 33 00:02:30,120 --> 00:02:35,560 Speaker 1: that would bury immigration costs into this budget reconciliation bill 34 00:02:36,040 --> 00:02:39,720 Speaker 1: that would help to lead to more citizenship. Again, the 35 00:02:39,840 --> 00:02:44,320 Speaker 1: details here are devilish, indeed, and we don't have all those. 36 00:02:44,760 --> 00:02:51,079 Speaker 1: And then forty billion dollars for worker training and higher education. Okay, 37 00:02:51,440 --> 00:02:56,520 Speaker 1: that adds up to one point eight five trillion dollars, 38 00:02:57,600 --> 00:03:01,760 Speaker 1: and they are saying that they have offset the cost 39 00:03:02,000 --> 00:03:07,000 Speaker 1: of the one point eight five trillion with tax increases. 40 00:03:07,639 --> 00:03:10,320 Speaker 1: How do they get there again? This is a rough 41 00:03:10,400 --> 00:03:15,639 Speaker 1: outline released today by the Biden administration. Fifteen percent minimum 42 00:03:15,680 --> 00:03:22,919 Speaker 1: tax on large corporations, efforts to reduce profit shifting. Well 43 00:03:23,200 --> 00:03:27,720 Speaker 1: whatever that means, I guess, more aggressive IRS coverage, which 44 00:03:27,960 --> 00:03:33,720 Speaker 1: has been disputed, one percent tax on corporate stock buybacks, 45 00:03:35,000 --> 00:03:41,040 Speaker 1: increased enforcement with the IRS, an additional five percent tax 46 00:03:41,520 --> 00:03:46,200 Speaker 1: on incomes exceeding ten million dollars a year and another 47 00:03:46,440 --> 00:03:52,240 Speaker 1: three percent tax on incomes above twenty five million, and 48 00:03:52,480 --> 00:03:57,400 Speaker 1: efforts to limit business losses for the wealthy. And an 49 00:03:57,480 --> 00:04:02,600 Speaker 1: additional three point eight per sent Medicare tax on people 50 00:04:02,680 --> 00:04:06,240 Speaker 1: earning more than four hundred thousand dollars a year who 51 00:04:06,320 --> 00:04:11,200 Speaker 1: didn't previously pay that tax. All right, that is a 52 00:04:11,400 --> 00:04:14,800 Speaker 1: massive amount of information that has all come down in 53 00:04:14,840 --> 00:04:20,360 Speaker 1: the last hour. The biggest issue here is will Nancy 54 00:04:20,440 --> 00:04:25,840 Speaker 1: Pelosi actually allow a vote on infrastructure? Does she have 55 00:04:25,880 --> 00:04:29,400 Speaker 1: the votes to get that passed. We will continue to 56 00:04:29,440 --> 00:04:33,160 Speaker 1: track this throughout the course of the show, but we 57 00:04:33,240 --> 00:04:37,839 Speaker 1: have got a ton of stories that we are tracking 58 00:04:38,200 --> 00:04:44,119 Speaker 1: and that we are chasing. We've got major issues with 59 00:04:44,839 --> 00:04:49,080 Speaker 1: everything that is going on with COVID vaccine mandates. We've 60 00:04:49,080 --> 00:04:53,760 Speaker 1: got potential police and firemen losing their jobs in New 61 00:04:53,839 --> 00:04:58,559 Speaker 1: York City. We've got the governatorial election in Virginia which 62 00:04:58,640 --> 00:05:03,080 Speaker 1: is massive, and we've got to talk about former President Trump, 63 00:05:03,080 --> 00:05:05,640 Speaker 1: who is going to be on with us tomorrow and 64 00:05:05,760 --> 00:05:09,599 Speaker 1: what he is going to be doing in Georgia very soon. 65 00:05:10,040 --> 00:05:14,080 Speaker 1: But first I have to tell you all about my 66 00:05:14,200 --> 00:05:18,279 Speaker 1: friends at pure Talk. I've got my thirteen year old 67 00:05:18,440 --> 00:05:21,240 Speaker 1: on Pure Talk and they do an amazing job. You 68 00:05:21,279 --> 00:05:24,360 Speaker 1: can use the exact same five G network. Whether you 69 00:05:24,440 --> 00:05:27,159 Speaker 1: have one of the big carriers out there, Verizon at 70 00:05:27,279 --> 00:05:29,520 Speaker 1: and T T Mobile, it doesn't matter. You can get 71 00:05:29,600 --> 00:05:32,560 Speaker 1: unlimited talk Tex six gigs of data for just thirty 72 00:05:32,600 --> 00:05:35,040 Speaker 1: dollars a month. How do you do it with your phones? 73 00:05:35,160 --> 00:05:37,919 Speaker 1: Right now? I want you to put them in your hands, 74 00:05:37,920 --> 00:05:39,520 Speaker 1: and I want you to take advantage of a thirty 75 00:05:39,560 --> 00:05:42,600 Speaker 1: day risk free guarantee. All you have to do give 76 00:05:42,680 --> 00:05:45,880 Speaker 1: nothing to lose dal pound two fifty say pure Talk, 77 00:05:45,920 --> 00:05:49,400 Speaker 1: you get fifty percent off your first month. That's pound 78 00:05:49,440 --> 00:05:52,799 Speaker 1: two five zero say Pure Talk pound two five zero. 79 00:05:52,960 --> 00:06:00,640 Speaker 1: Do it. Welcome back in Clay, Travis buck Sex and show. 80 00:06:00,880 --> 00:06:02,880 Speaker 1: I am back from Houston. By the way, let me 81 00:06:02,920 --> 00:06:07,960 Speaker 1: say this incredible time all over the city of Houston. 82 00:06:08,160 --> 00:06:11,200 Speaker 1: I took my eleven year old to watch World Series 83 00:06:11,279 --> 00:06:14,000 Speaker 1: Game one and two. We did the show I did 84 00:06:14,160 --> 00:06:20,520 Speaker 1: yesterday from our Houston affiliate. Just an absolutely fantastic time 85 00:06:20,839 --> 00:06:25,520 Speaker 1: down in Houston. Astro's win Game two. Appreciate everybody out 86 00:06:25,520 --> 00:06:28,960 Speaker 1: there listening at KTRH, one of our biggest affiliates among many. 87 00:06:29,000 --> 00:06:31,679 Speaker 1: We love all of you in all fifty states. Monster 88 00:06:31,800 --> 00:06:34,960 Speaker 1: audience for this show down in Houston met a lot 89 00:06:35,000 --> 00:06:39,040 Speaker 1: of you. Appreciate everybody who came up and shared feedback 90 00:06:39,120 --> 00:06:41,400 Speaker 1: on the show and how much you're enjoying it, and 91 00:06:42,160 --> 00:06:44,960 Speaker 1: welcome me to your city along with my eleven year old. 92 00:06:45,000 --> 00:06:48,560 Speaker 1: We had an incredible time watching Games one and two 93 00:06:48,680 --> 00:06:53,120 Speaker 1: of the World Series. And certainly the state of Texas 94 00:06:53,839 --> 00:06:56,719 Speaker 1: under the leadership of Greg Abbott has been one of 95 00:06:56,760 --> 00:07:00,480 Speaker 1: the states that has been punching back the most against 96 00:07:00,480 --> 00:07:05,520 Speaker 1: all these draconian restrictions associated with COVID and all the 97 00:07:05,640 --> 00:07:08,880 Speaker 1: ridiculous decisions that are being made by the Biden administration. 98 00:07:09,440 --> 00:07:11,880 Speaker 1: The state that has fought back the most, I think 99 00:07:11,880 --> 00:07:15,400 Speaker 1: it's fair to say, is Florida. And right now we've 100 00:07:15,400 --> 00:07:19,680 Speaker 1: got some interesting dynamics going on in Florida, where Governor 101 00:07:19,760 --> 00:07:24,440 Speaker 1: Rhnda Santis has hired a brand new surgeon general, a 102 00:07:24,680 --> 00:07:30,080 Speaker 1: graduate of Harvard Medical School, who has actually been sharing 103 00:07:30,200 --> 00:07:32,640 Speaker 1: a lot of the details and data that we share 104 00:07:32,680 --> 00:07:34,560 Speaker 1: with you on a day to day basis. Now Buck 105 00:07:34,640 --> 00:07:36,960 Speaker 1: is out right, now he's sick. He's going to be 106 00:07:36,960 --> 00:07:41,240 Speaker 1: back tomorrow. We are chasing the infrastructure deal potentially on 107 00:07:41,320 --> 00:07:44,760 Speaker 1: Capitol Hill, whether the budget reconciliation bill is going to 108 00:07:44,840 --> 00:07:47,560 Speaker 1: advance in any way. I'll give you an update on 109 00:07:47,600 --> 00:07:50,640 Speaker 1: that in the next segment. We also have a loaded show. 110 00:07:51,080 --> 00:07:53,800 Speaker 1: Molly Hemingway is with us at the top of the 111 00:07:53,840 --> 00:07:56,320 Speaker 1: next hour, and then our friend Alex Barnson we'll talk 112 00:07:56,320 --> 00:08:00,600 Speaker 1: the latest associated with COVID. But first I want you 113 00:08:00,640 --> 00:08:04,160 Speaker 1: to be able to hear somebody who is actually speaking 114 00:08:04,200 --> 00:08:07,600 Speaker 1: truth to power and sharing facts, which is an important 115 00:08:07,600 --> 00:08:12,360 Speaker 1: thing to do, particularly as kids are being The argument 116 00:08:12,360 --> 00:08:15,480 Speaker 1: at least is out there that kids should be getting 117 00:08:15,480 --> 00:08:19,680 Speaker 1: the COVID vaccine, which I think is absolutely crazy. While 118 00:08:19,800 --> 00:08:24,360 Speaker 1: Florida's surgeon General, doctor Joseph Latipo, he was on Tucker 119 00:08:24,480 --> 00:08:26,760 Speaker 1: last night, and by the way, we're going to have 120 00:08:27,000 --> 00:08:29,800 Speaker 1: Governor Ron De Santis of Florida. We're scheduled to have 121 00:08:29,880 --> 00:08:32,760 Speaker 1: him on the show next week on Tuesday, and we 122 00:08:32,840 --> 00:08:34,760 Speaker 1: probably need to at some point in the near future 123 00:08:34,880 --> 00:08:38,080 Speaker 1: get Florida's surgeon General, doctor Joseph Latipo on as well. 124 00:08:38,360 --> 00:08:41,120 Speaker 1: He was on Tucker last night and he shared the 125 00:08:41,120 --> 00:08:44,040 Speaker 1: fact that data just flat out doesn't support masks. A 126 00:08:44,120 --> 00:08:48,560 Speaker 1: really good example is this obsession with masking kids in 127 00:08:48,679 --> 00:08:51,880 Speaker 1: school and when you look at the evidence for mask 128 00:08:52,000 --> 00:08:55,240 Speaker 1: mandates in schools, it's actually it's very weak. You know, 129 00:08:55,360 --> 00:08:58,920 Speaker 1: the highest quality evidence we have in fact for masks 130 00:08:58,960 --> 00:09:03,880 Speaker 1: basically show there's really no evidence of a health benefit 131 00:09:04,160 --> 00:09:07,960 Speaker 1: as an improvement and a child's health outcome by implementing 132 00:09:08,000 --> 00:09:11,400 Speaker 1: these mask mandates. And there's not even any solid evidence 133 00:09:11,440 --> 00:09:14,760 Speaker 1: for cloth masks. So you know, where benefit has been shown, 134 00:09:15,120 --> 00:09:19,040 Speaker 1: it's primarily been with surgical masks. But you know, Americans 135 00:09:19,080 --> 00:09:22,920 Speaker 1: have unfortunately been just slammed constantly with this message that 136 00:09:23,040 --> 00:09:26,520 Speaker 1: you must mask these children. But you know, we haven't 137 00:09:26,520 --> 00:09:29,560 Speaker 1: asked enough about the high quality data it doesn't support it, 138 00:09:29,640 --> 00:09:32,320 Speaker 1: and we don't do it in Florida. So I think 139 00:09:32,320 --> 00:09:35,040 Speaker 1: that is fabulously well said. To think about how much 140 00:09:35,080 --> 00:09:38,320 Speaker 1: different our country would look right now if you had 141 00:09:38,440 --> 00:09:41,600 Speaker 1: doctor Latipo. There the surgeon General of the State of 142 00:09:41,720 --> 00:09:46,920 Speaker 1: Florida actually making these arguments in public instead of doctor Fauci, 143 00:09:47,000 --> 00:09:50,560 Speaker 1: who is consistently showing up like the Boogeyman to try 144 00:09:50,559 --> 00:09:53,360 Speaker 1: and terrify parents and make them believe that their kids 145 00:09:53,440 --> 00:09:57,679 Speaker 1: are under a severe danger from COVID when the data 146 00:09:57,760 --> 00:10:02,559 Speaker 1: doesn't reflect that that's remotely true. So why is this significant? 147 00:10:02,960 --> 00:10:09,240 Speaker 1: Well significant because DeSantis and other governors, thank God for federalism, 148 00:10:09,640 --> 00:10:15,439 Speaker 1: are fighting back against the proposed federal vaccine mandate. Now, 149 00:10:16,120 --> 00:10:20,439 Speaker 1: it's worth the noting that Joe Biden announced his federal 150 00:10:20,520 --> 00:10:23,880 Speaker 1: vaccine mandate on September ninth, I believe it was. He 151 00:10:24,040 --> 00:10:28,240 Speaker 1: still has not officially released the regulations drawn up by 152 00:10:28,320 --> 00:10:32,640 Speaker 1: OSHA that would require that federal mandate to be in place. 153 00:10:33,200 --> 00:10:37,720 Speaker 1: As a result, we're not sure exactly how many religious 154 00:10:37,880 --> 00:10:42,680 Speaker 1: or health exemptions might be granted and how aggressively this 155 00:10:42,760 --> 00:10:45,920 Speaker 1: policy is going to be implemented. But what we are 156 00:10:46,000 --> 00:10:48,400 Speaker 1: sure of is there are gonna be a lot of people, 157 00:10:48,480 --> 00:10:51,240 Speaker 1: many of you out there listening right now, that are 158 00:10:51,280 --> 00:10:54,080 Speaker 1: forced to make a decision you may well have had 159 00:10:54,160 --> 00:10:57,560 Speaker 1: COVID like I have, about whether or not to follow 160 00:10:57,640 --> 00:11:01,040 Speaker 1: a mandate issued by your company, especially if your company 161 00:11:01,040 --> 00:11:03,880 Speaker 1: employees over a hundred people, which means that it would 162 00:11:03,920 --> 00:11:08,199 Speaker 1: be a part of this federal vaccine mandate. Are you 163 00:11:08,320 --> 00:11:13,040 Speaker 1: going to go get the COVID vaccine or are you 164 00:11:13,120 --> 00:11:16,240 Speaker 1: going to make a decision to potentially quit your job, 165 00:11:16,400 --> 00:11:18,360 Speaker 1: to give up your job? And that's why I think 166 00:11:18,400 --> 00:11:21,320 Speaker 1: what Ron de Santa says crystallized so well is if 167 00:11:21,360 --> 00:11:23,760 Speaker 1: you think back to March of twenty twenty, what we 168 00:11:23,880 --> 00:11:28,119 Speaker 1: were all told was something pretty straightforward, transparent, and relatively 169 00:11:28,120 --> 00:11:31,720 Speaker 1: easy to understand. Doctor Fauci walked out in the White 170 00:11:31,720 --> 00:11:35,120 Speaker 1: House and sold us on the idea of fifteen days 171 00:11:35,280 --> 00:11:38,680 Speaker 1: to stop the spread. And if you remember, that was 172 00:11:38,800 --> 00:11:43,400 Speaker 1: all about lessening the overall peak of infection to try 173 00:11:43,400 --> 00:11:48,800 Speaker 1: to avoid overloading hospitals. Now buy in, large hospitals across 174 00:11:48,840 --> 00:11:52,520 Speaker 1: this country have not been overloaded. They certainly have been 175 00:11:52,600 --> 00:11:56,400 Speaker 1: strained at different points of time, but we haven't seen 176 00:11:56,920 --> 00:12:00,920 Speaker 1: what was initially feared, which was, my goodness, there are 177 00:12:00,960 --> 00:12:03,800 Speaker 1: going to be tens of thousands of people that need 178 00:12:03,840 --> 00:12:06,520 Speaker 1: medical treatment and there will be no way for the 179 00:12:06,559 --> 00:12:10,120 Speaker 1: hospitals to actually handle all of those people. We just 180 00:12:10,160 --> 00:12:12,840 Speaker 1: haven't seen it. So we had fifteen days to stop 181 00:12:12,880 --> 00:12:16,640 Speaker 1: the spread, and now we have advanced all the way 182 00:12:17,120 --> 00:12:20,760 Speaker 1: to If you don't get the COVID vaccine, and by 183 00:12:20,800 --> 00:12:24,320 Speaker 1: the way, soon you don't get the COVID vaccine booster, 184 00:12:25,040 --> 00:12:29,520 Speaker 1: you're gonna lose your job. And that is an unbelievable 185 00:12:29,559 --> 00:12:33,320 Speaker 1: and excessive overreach of the federal government. This is me 186 00:12:33,360 --> 00:12:37,280 Speaker 1: putting my lawyer head on. I believe that's unconstitutional. I 187 00:12:37,400 --> 00:12:41,560 Speaker 1: don't think that the federal government, given where we are 188 00:12:41,640 --> 00:12:45,440 Speaker 1: with COVID, should have the power, or has the power 189 00:12:45,880 --> 00:12:51,000 Speaker 1: under our constitution, to mandate vaccines as expansively as Joe 190 00:12:51,000 --> 00:12:55,240 Speaker 1: Biden has laid out his vaccine mandate. I suspect that 191 00:12:55,360 --> 00:12:58,640 Speaker 1: is one reason why the vaccine mandate hasn't come out yet. 192 00:12:58,679 --> 00:13:02,120 Speaker 1: In fact, there are a lot of businesses out there 193 00:13:02,720 --> 00:13:07,400 Speaker 1: that are reportedly arguing with the Biden administration right now. 194 00:13:08,040 --> 00:13:14,080 Speaker 1: Please don't issue this vaccine mandate before the holidays, because 195 00:13:14,160 --> 00:13:18,680 Speaker 1: if you do, it's going to be virtually impossible for 196 00:13:18,800 --> 00:13:22,480 Speaker 1: many different levels of our economy to function. We already 197 00:13:22,520 --> 00:13:26,240 Speaker 1: have major supply chain disruptions. What's going to happen if 198 00:13:26,640 --> 00:13:30,160 Speaker 1: truck drivers, for instance, suddenly decide not to get the 199 00:13:30,200 --> 00:13:33,720 Speaker 1: COVID vaccine, and you don't have the ability to utilize 200 00:13:33,760 --> 00:13:36,520 Speaker 1: their big rigs to move products across the country when 201 00:13:36,520 --> 00:13:40,360 Speaker 1: you've already got a major supply chain shortage that is underway. 202 00:13:40,720 --> 00:13:43,679 Speaker 1: What's going to happen if a lot of people who 203 00:13:43,760 --> 00:13:49,200 Speaker 1: stock the shelves inside of major retail establishments decide not 204 00:13:49,280 --> 00:13:53,239 Speaker 1: to get the COVID vaccine and therefore are not employed. 205 00:13:53,559 --> 00:13:56,560 Speaker 1: So right now you have big business begging the Biden 206 00:13:56,600 --> 00:14:00,680 Speaker 1: administration at least wait till after the holiday. And that's 207 00:14:00,720 --> 00:14:04,440 Speaker 1: why I floated the idea that the Biden administration the 208 00:14:04,559 --> 00:14:08,480 Speaker 1: reason they haven't released their federal vaccine mandate is because 209 00:14:08,600 --> 00:14:12,640 Speaker 1: I think they know that it's unconstitutional, and they are 210 00:14:12,760 --> 00:14:17,040 Speaker 1: hoping that the threat will lead to more people getting 211 00:14:17,120 --> 00:14:20,840 Speaker 1: the COVID vaccine. And then after the first of the year, 212 00:14:21,280 --> 00:14:24,640 Speaker 1: if we don't have a major surge in COVID cases 213 00:14:24,640 --> 00:14:27,600 Speaker 1: and remember they're going down for the most part across 214 00:14:27,600 --> 00:14:31,480 Speaker 1: the country right now, then they can argue, hey, we 215 00:14:31,560 --> 00:14:35,040 Speaker 1: don't have to implement this federal vaccine mandate anymore because 216 00:14:35,080 --> 00:14:38,960 Speaker 1: so many people got the vaccines. The vaccines work so well. Look, 217 00:14:39,320 --> 00:14:43,160 Speaker 1: Joe Biden solved all of the issues surrounding COVID. That's 218 00:14:43,200 --> 00:14:48,600 Speaker 1: what I think the Biden administration would like to argue that, however, 219 00:14:48,720 --> 00:14:51,360 Speaker 1: will be in the future when we come back. Got 220 00:14:51,360 --> 00:14:55,080 Speaker 1: an interesting battle over celebrities who are willing to stand 221 00:14:55,160 --> 00:14:58,520 Speaker 1: up against COVID vaccine mandates, and I want you to 222 00:14:58,560 --> 00:15:01,920 Speaker 1: hear some of the reaction that those celebrities are getting 223 00:15:02,000 --> 00:15:07,000 Speaker 1: because we're creating some interesting dynamics that cut across race 224 00:15:07,760 --> 00:15:12,320 Speaker 1: and gender lines and help to destroy identity politics, all 225 00:15:12,320 --> 00:15:15,600 Speaker 1: brought in by these COVID vaccine mandates. That will be 226 00:15:15,680 --> 00:15:18,400 Speaker 1: next but in the meantime, very least we can do 227 00:15:18,480 --> 00:15:21,120 Speaker 1: for the families of fallen soldiers in our nation's War 228 00:15:21,320 --> 00:15:25,680 Speaker 1: on terrors provide security. That's what these soldiers were doing 229 00:15:25,720 --> 00:15:30,400 Speaker 1: for us, defending our freedoms and creating security for all 230 00:15:30,440 --> 00:15:34,920 Speaker 1: of us tunnel. The Towers Foundation takes this mission quite literally. 231 00:15:35,320 --> 00:15:39,760 Speaker 1: This year, they will proudly place two hundred forever changed 232 00:15:39,840 --> 00:15:43,440 Speaker 1: families into mortgage free homes. That's akin to building a 233 00:15:43,560 --> 00:15:46,280 Speaker 1: large neighborhood of new homes and giving every one of 234 00:15:46,320 --> 00:15:50,200 Speaker 1: them away to a deserving man, woman, or child. Truth is, 235 00:15:50,240 --> 00:15:52,920 Speaker 1: they do this all over the country, and not just 236 00:15:53,000 --> 00:15:57,080 Speaker 1: in one neighborhood. Each family has a captivating story, as 237 00:15:57,120 --> 00:16:01,119 Speaker 1: does their fallen soldier relative. With your help and donations, 238 00:16:01,160 --> 00:16:05,520 Speaker 1: Tunneled Towers Foundation is achieving their most ambitious dreams forever. 239 00:16:06,080 --> 00:16:08,840 Speaker 1: There are many more heroes who need your help. That's 240 00:16:08,880 --> 00:16:11,560 Speaker 1: why we need you to donate eleven dollars a month 241 00:16:11,600 --> 00:16:14,680 Speaker 1: to Tunnel the Towers at t twot dot org. That's 242 00:16:14,720 --> 00:16:22,040 Speaker 1: t the number two t dot org. Welcome back in 243 00:16:22,240 --> 00:16:25,480 Speaker 1: finishing off our number one. Clay Travis buck Sexton shoe 244 00:16:25,640 --> 00:16:29,160 Speaker 1: buck out sick today, We'll be back tomorrow. I talked 245 00:16:29,160 --> 00:16:33,680 Speaker 1: about some of the politics of vaccine mandates and how 246 00:16:33,680 --> 00:16:37,760 Speaker 1: it has created some strange bedfellows. One of the most 247 00:16:37,760 --> 00:16:42,560 Speaker 1: outspoken groups that has had a lot of different celebrities 248 00:16:42,560 --> 00:16:44,880 Speaker 1: standing up and saying, wait a minute, I don't really 249 00:16:44,880 --> 00:16:48,360 Speaker 1: agree with the concept of the government mandating a COVID vaccine. 250 00:16:48,840 --> 00:16:53,000 Speaker 1: A lot of athletes, a lot of comedians, and a 251 00:16:53,000 --> 00:16:56,520 Speaker 1: lot of entertainers in general have been willing to speak 252 00:16:56,520 --> 00:17:01,600 Speaker 1: out against the prevailing hegemony that xist on the left 253 00:17:01,680 --> 00:17:07,800 Speaker 1: wing woke culture, and in particular I saw this yesterday 254 00:17:07,800 --> 00:17:11,640 Speaker 1: Floyd Mayweather, who is maybe the most successful boxer of 255 00:17:11,720 --> 00:17:16,480 Speaker 1: his generation. He posted a video supporting Kyrie Irving. Kyrie 256 00:17:16,520 --> 00:17:19,400 Speaker 1: Irving as an NBA player who has refused to get vaccinated. 257 00:17:19,840 --> 00:17:23,440 Speaker 1: Listen to what Floyd Mayweather said, and then I want 258 00:17:23,440 --> 00:17:26,120 Speaker 1: to share with you some of the attacks that are 259 00:17:26,160 --> 00:17:29,000 Speaker 1: occurring based on comments like these. America is the land 260 00:17:29,040 --> 00:17:32,359 Speaker 1: of the free, freedom of speech, freedom of religion, and 261 00:17:32,480 --> 00:17:37,359 Speaker 1: supposedly freedom to choose, never be controlled by money. I 262 00:17:37,480 --> 00:17:39,879 Speaker 1: was thank you for having some integrity and being your 263 00:17:39,880 --> 00:17:42,879 Speaker 1: own man. A free mind makes his own choices, and 264 00:17:42,960 --> 00:17:46,840 Speaker 1: the slave mind follows the crowd. Stand for something or 265 00:17:46,880 --> 00:17:50,159 Speaker 1: fall for anything. One man can lead a revolution to 266 00:17:50,359 --> 00:17:54,080 Speaker 1: stand up and fight for what's right. One choice, one word, 267 00:17:54,400 --> 00:17:58,359 Speaker 1: one action can change the world. It's crazy how people 268 00:17:58,920 --> 00:18:02,440 Speaker 1: hate you for being a leader. I hope your actions 269 00:18:03,000 --> 00:18:07,680 Speaker 1: encourage many others to stand up and say enough as 270 00:18:07,880 --> 00:18:12,919 Speaker 1: enough respect to U, Kyrie and poet people. Okay, so 271 00:18:12,960 --> 00:18:17,000 Speaker 1: that's Floyd Mayweather. Here's what he also said. Choice is 272 00:18:17,080 --> 00:18:20,840 Speaker 1: defined as an act of selecting or making a decision 273 00:18:21,040 --> 00:18:25,320 Speaker 1: when faced with two or more possibilities. America gave us 274 00:18:25,359 --> 00:18:29,040 Speaker 1: the choice to take the vaccine or not take the vaccine. 275 00:18:29,520 --> 00:18:34,840 Speaker 1: As time moves on, that choice is gradually being stripped 276 00:18:34,880 --> 00:18:39,719 Speaker 1: from us. And what's interesting is the number of people 277 00:18:40,400 --> 00:18:44,679 Speaker 1: who claim that they are all for free expression and 278 00:18:44,840 --> 00:18:51,760 Speaker 1: outspoken political opinions, who as soon as someone says anything 279 00:18:52,000 --> 00:18:57,080 Speaker 1: other than embracing the prevailing woke orthodox in the world 280 00:18:57,080 --> 00:19:00,800 Speaker 1: of athletics or entertainment, they turn turn it into an 281 00:19:00,880 --> 00:19:06,840 Speaker 1: opportunity to call them sellouts or racist or Uncle Tom's 282 00:19:08,040 --> 00:19:13,160 Speaker 1: dead Spin, which is a website mostly bereft of all 283 00:19:13,280 --> 00:19:18,959 Speaker 1: functional intelligence, used to be a fun zany, irreverent place 284 00:19:19,040 --> 00:19:22,360 Speaker 1: for sports fans to go hang out. They had an 285 00:19:22,440 --> 00:19:25,439 Speaker 1: article that they published in the last day or so 286 00:19:26,320 --> 00:19:31,840 Speaker 1: and the headline is Kyrie Irving and Dave Chappelle are 287 00:19:31,960 --> 00:19:37,280 Speaker 1: being used as black pawns on a white chessboard. Now 288 00:19:37,680 --> 00:19:40,000 Speaker 1: it doesn't really make sense because a white chessboard, you know, 289 00:19:40,000 --> 00:19:42,320 Speaker 1: there's black and white pieces, and there's black and white 290 00:19:42,320 --> 00:19:45,640 Speaker 1: pieces on the chessboard too, the squares. But what's really 291 00:19:45,680 --> 00:19:50,520 Speaker 1: kind of fascinating is look at how quickly Kyrie Irving, 292 00:19:50,800 --> 00:19:55,200 Speaker 1: Dave Chappelle you just heard from Floyd Mayweather. These are 293 00:19:55,280 --> 00:20:00,960 Speaker 1: prominent black athletes and celebrities who are speaking out against, 294 00:20:01,040 --> 00:20:05,120 Speaker 1: in the case of Dave Chappelle, the idea of protected 295 00:20:05,240 --> 00:20:09,960 Speaker 1: treatment for people who are transgender. In the case of 296 00:20:10,040 --> 00:20:14,320 Speaker 1: Kyrie Irving, it's against the New York City vaccine mandates, 297 00:20:14,920 --> 00:20:17,440 Speaker 1: which he is refusing to comply with and thereby makes 298 00:20:17,520 --> 00:20:22,560 Speaker 1: him ineligible to play. And in the case of Floyd Mayweather, 299 00:20:22,680 --> 00:20:26,560 Speaker 1: he's singing the praises of Kyrie Irving for being willing 300 00:20:26,600 --> 00:20:30,280 Speaker 1: to make those choices. But don't mistake what's going on here. 301 00:20:31,000 --> 00:20:36,680 Speaker 1: The same people who have lionized Colin Kaepernick for years 302 00:20:37,160 --> 00:20:41,440 Speaker 1: for taking a knee are now denigrating to the high 303 00:20:41,520 --> 00:20:46,320 Speaker 1: heavens athletes who don't have the same opinion as them 304 00:20:46,840 --> 00:20:49,679 Speaker 1: when it comes to the COVID vaccine. And by the way, 305 00:20:50,440 --> 00:20:55,880 Speaker 1: these athletes aren't saying, don't take the vaccine if you 306 00:20:55,960 --> 00:20:59,920 Speaker 1: decide it's the right choice for you. They're just saying, man, 307 00:21:00,160 --> 00:21:04,040 Speaker 1: dates are wrong. And I know there's this desire to 308 00:21:04,160 --> 00:21:09,800 Speaker 1: label everybody out there who doesn't believe in mandates as 309 00:21:09,840 --> 00:21:13,320 Speaker 1: anti vacs, right, that's the new insult that everybody gets 310 00:21:13,400 --> 00:21:17,600 Speaker 1: that's tossed on them. I don't believe in getting my 311 00:21:17,840 --> 00:21:21,800 Speaker 1: young kids vaccinated for COVID because COVID is not a 312 00:21:21,880 --> 00:21:25,280 Speaker 1: risk to them. That doesn't make me anti VACS. I'm 313 00:21:25,280 --> 00:21:29,080 Speaker 1: certainly in favor of measles Mump's rebella as many of 314 00:21:29,119 --> 00:21:32,320 Speaker 1: you out there listening right now, my kids are vaccinated. 315 00:21:33,000 --> 00:21:38,880 Speaker 1: I'm opposed to unnecessary mandatory vaccines, but I'm not opposed 316 00:21:38,920 --> 00:21:42,440 Speaker 1: to you, if you desire and believe that it makes 317 00:21:42,440 --> 00:21:45,600 Speaker 1: the most sense for your health, being able to go 318 00:21:45,640 --> 00:21:49,959 Speaker 1: make that choice yourself. There is a fundament and by 319 00:21:50,000 --> 00:21:53,920 Speaker 1: the way, that goes for masks, that goes for social distancing. 320 00:21:54,320 --> 00:22:01,320 Speaker 1: All these different COVID related mandates to me come down 321 00:22:01,359 --> 00:22:04,880 Speaker 1: to choice and risk analysis within the context of your 322 00:22:04,880 --> 00:22:09,080 Speaker 1: own age. A four year old and an eighty four 323 00:22:09,200 --> 00:22:12,280 Speaker 1: year old do not have the same risk for COVID. 324 00:22:13,119 --> 00:22:17,040 Speaker 1: The eighty four year old, I think probably should get 325 00:22:17,119 --> 00:22:21,960 Speaker 1: the COVID vaccine. The four year old should not. That's 326 00:22:22,080 --> 00:22:27,200 Speaker 1: simple risk analysis. It's not being anti vax, it's being 327 00:22:27,240 --> 00:22:31,120 Speaker 1: intelligent enough to understand that a one size fits all 328 00:22:31,200 --> 00:22:34,199 Speaker 1: policy for three hundred and thirty million people in the 329 00:22:34,280 --> 00:22:39,280 Speaker 1: United States doesn't make sense and also doesn't consider all 330 00:22:39,320 --> 00:22:41,879 Speaker 1: of you out there like me, who've already had COVID 331 00:22:42,320 --> 00:22:45,760 Speaker 1: and have natural immunity now as a result of having 332 00:22:45,800 --> 00:22:50,520 Speaker 1: had COVID my kids, it doesn't make sense for them 333 00:22:50,600 --> 00:22:53,960 Speaker 1: to get vaccinated. Based on the data, they're under far 334 00:22:54,080 --> 00:22:58,240 Speaker 1: more risk from far less dangerous things. They're way more 335 00:22:58,320 --> 00:23:03,560 Speaker 1: likely to in a traffic accident, or get murdered or 336 00:23:03,640 --> 00:23:07,840 Speaker 1: die of the seasonal flu. Being a parent is about 337 00:23:07,920 --> 00:23:11,479 Speaker 1: teaching your kids how to deal with risk. It's one 338 00:23:11,520 --> 00:23:14,760 Speaker 1: of the most important things we teach our kids. And 339 00:23:15,000 --> 00:23:16,800 Speaker 1: if you are teaching them that they are in danger 340 00:23:16,880 --> 00:23:19,960 Speaker 1: from COVID, frankly, you're not listening to the data at all. 341 00:23:20,359 --> 00:23:22,560 Speaker 1: When we come back, top of the second hour, Molly 342 00:23:22,680 --> 00:23:27,720 Speaker 1: Hemingway on the battle around the twenty twenty election and 343 00:23:27,840 --> 00:23:30,199 Speaker 1: what actually went down. She spent five hours talking with 344 00:23:30,240 --> 00:23:32,960 Speaker 1: Donald Trump. What did she learn. She'll tell us next. 345 00:23:33,000 --> 00:23:34,879 Speaker 1: It's going to be fantastic. Then the third hour, our 346 00:23:34,920 --> 00:23:38,480 Speaker 1: buddy Alex Barns and all that headed your direction. Appreciate 347 00:23:38,480 --> 00:23:42,679 Speaker 1: you hanging out with us. Thanks for having your Thursday 348 00:23:43,040 --> 00:23:45,520 Speaker 1: with us for this first hour, plus the latest on 349 00:23:45,560 --> 00:23:49,440 Speaker 1: the infrastructure bill and the budget reconciliation bill, that's all 350 00:23:49,480 --> 00:23:54,440 Speaker 1: coming next. You're listening to Clay Travis, said buck Sexton 351 00:23:54,600 --> 00:24:10,760 Speaker 1: fund the EIB Network. Welcome back in Clay Travis buck 352 00:24:10,800 --> 00:24:15,040 Speaker 1: Sexton show rolling through the Thursday edition of the program. 353 00:24:15,040 --> 00:24:18,959 Speaker 1: Appreciate all of you hanging out with us. So many 354 00:24:19,000 --> 00:24:23,840 Speaker 1: different stories right now on Capitol Hill coming together. We 355 00:24:23,920 --> 00:24:26,399 Speaker 1: are trying to keep you updated on what exactly is 356 00:24:26,440 --> 00:24:30,120 Speaker 1: going on as it pertains to the Infrastructure Bill, which 357 00:24:30,200 --> 00:24:32,959 Speaker 1: may be voted on today by the House, but also 358 00:24:33,720 --> 00:24:38,399 Speaker 1: the Budget Reconciliation Bill, which has now been officially laid 359 00:24:38,440 --> 00:24:42,280 Speaker 1: out in some way, and that is going to be 360 00:24:42,520 --> 00:24:46,399 Speaker 1: I would imagine a major battle between the two of 361 00:24:46,440 --> 00:24:50,639 Speaker 1: these and the inner play complicated. A lot of different 362 00:24:51,000 --> 00:24:55,800 Speaker 1: chess board maneuverings going on right now, and we will 363 00:24:55,840 --> 00:24:58,000 Speaker 1: keep you updated on that throughout the course of the 364 00:24:58,000 --> 00:25:02,840 Speaker 1: show as well as tomorrow with the latest. We are 365 00:25:02,920 --> 00:25:06,520 Speaker 1: joined now by Molly Hemingway, who has got a fabulous 366 00:25:06,600 --> 00:25:09,240 Speaker 1: book that is coming out. We're going to talk about 367 00:25:09,320 --> 00:25:13,600 Speaker 1: that regarding what exactly went on in the twenty twenty 368 00:25:13,600 --> 00:25:17,119 Speaker 1: election and beyond Buck Sexton. I should mention Molly as 369 00:25:17,160 --> 00:25:19,440 Speaker 1: she comes in with us right now. Buck is out sick. 370 00:25:19,560 --> 00:25:21,640 Speaker 1: I know you know Buck well, Molly, but I want 371 00:25:21,640 --> 00:25:27,360 Speaker 1: to start with this. Your book on Brett Kavanaugh was incredible. 372 00:25:27,600 --> 00:25:31,840 Speaker 1: The behind the scenes maneuvering associated with how Brett Kavanaugh 373 00:25:32,000 --> 00:25:36,120 Speaker 1: ended up on the Supreme Court, the Senate Judiciary Committee hearings. 374 00:25:36,520 --> 00:25:40,560 Speaker 1: It was absolutely riveting. I don't think I've ever spoken 375 00:25:40,560 --> 00:25:42,320 Speaker 1: to you before, but I wanted you to hear that 376 00:25:42,359 --> 00:25:46,520 Speaker 1: directly from me. It was so incredibly well done. How 377 00:25:46,600 --> 00:25:49,400 Speaker 1: much time and research and energy and effort did you 378 00:25:49,960 --> 00:25:53,040 Speaker 1: put into telling that story as in such a compelling 379 00:25:53,080 --> 00:25:56,560 Speaker 1: fashion as you did? Well, Thank you, First of all, 380 00:25:56,640 --> 00:25:59,800 Speaker 1: I appreciate that, and I was glad to research and 381 00:26:00,000 --> 00:26:02,639 Speaker 1: report on both books. For the first book, my co 382 00:26:02,720 --> 00:26:05,760 Speaker 1: author Kerry Sabarino, and I interviewed more than a hundred 383 00:26:05,760 --> 00:26:09,040 Speaker 1: people who were involved in the confirmation of Kavanaugh. You know, 384 00:26:09,080 --> 00:26:11,600 Speaker 1: that included everyone at the White House and the Senate, 385 00:26:11,840 --> 00:26:16,320 Speaker 1: in the outside groups, and it was just fascinating to 386 00:26:16,359 --> 00:26:18,879 Speaker 1: get their stories and inside details and be able to 387 00:26:18,920 --> 00:26:23,119 Speaker 1: record for posterity what actually happened. Because we knew that 388 00:26:23,160 --> 00:26:25,440 Speaker 1: the media would do what they did with Clarence Thomas, 389 00:26:25,480 --> 00:26:27,600 Speaker 1: which is, you know, tell full stories and then just 390 00:26:27,720 --> 00:26:30,800 Speaker 1: keep telling and telling and telling them for decades and 391 00:26:30,840 --> 00:26:33,720 Speaker 1: then the real history gets lost. And so I took 392 00:26:33,760 --> 00:26:36,880 Speaker 1: that same approach with Rigged, which tells what happened during 393 00:26:36,880 --> 00:26:40,480 Speaker 1: the twenty twenty election. Tons of interviews from people on 394 00:26:40,520 --> 00:26:43,080 Speaker 1: the Trump campaign and RNC, but at the state and 395 00:26:43,160 --> 00:26:45,639 Speaker 1: the local level, to outside groups to really get a 396 00:26:45,680 --> 00:26:48,879 Speaker 1: handle on just what happened in this craziest election of 397 00:26:48,880 --> 00:26:51,800 Speaker 1: our lifetime. Okay, so I haven't read Rigged yet, but 398 00:26:52,080 --> 00:26:54,760 Speaker 1: I'm encourage everybody out there, just based on your last book, 399 00:26:54,760 --> 00:26:56,639 Speaker 1: to read this one, and I will read it as well. 400 00:26:56,720 --> 00:26:59,879 Speaker 1: Rigged How the media, big tech, and the Democrats seized 401 00:27:00,040 --> 00:27:03,960 Speaker 1: our elections. Let's talk about some of the things that 402 00:27:04,040 --> 00:27:07,520 Speaker 1: you uncovered during the course of reporting on this book. 403 00:27:07,560 --> 00:27:09,080 Speaker 1: And I want to start with one that I know 404 00:27:09,560 --> 00:27:12,800 Speaker 1: all of our listeners are focused on because it was 405 00:27:12,880 --> 00:27:16,280 Speaker 1: such an egregious example of this overreach, and that was 406 00:27:16,320 --> 00:27:21,000 Speaker 1: a New York Post basically getting canceled by Twitter and 407 00:27:21,160 --> 00:27:23,879 Speaker 1: other big tech platforms when they came out with what 408 00:27:24,040 --> 00:27:27,840 Speaker 1: has now basically been confirmed to have been an accurate 409 00:27:27,960 --> 00:27:33,240 Speaker 1: story about Hunter Biden's laptop and everything associated with the 410 00:27:33,400 --> 00:27:37,879 Speaker 1: revelations on that laptop. In the years ahead, will this 411 00:27:38,000 --> 00:27:41,520 Speaker 1: come to seem even more egregious in your mind than 412 00:27:41,560 --> 00:27:44,239 Speaker 1: it does now? Or is this something that people are 413 00:27:44,280 --> 00:27:48,320 Speaker 1: going to pretend on the left just never happened as 414 00:27:48,320 --> 00:27:51,080 Speaker 1: a result of it now having been proven true and 415 00:27:51,200 --> 00:27:55,720 Speaker 1: that their censorship was in many ways a direct refutation 416 00:27:55,920 --> 00:28:00,520 Speaker 1: of the truth. It was shocking and horrifying and one 417 00:28:00,560 --> 00:28:04,399 Speaker 1: of the worst things I've ever seen, more stalinist than American, 418 00:28:04,880 --> 00:28:08,000 Speaker 1: to watch as all of these powerful entities just decided 419 00:28:08,040 --> 00:28:10,920 Speaker 1: they were going to memory whole not just an important story, 420 00:28:10,960 --> 00:28:13,640 Speaker 1: but one of the more important stories of the campaign. 421 00:28:13,960 --> 00:28:16,240 Speaker 1: You know, we know the Biden family has a business, 422 00:28:16,240 --> 00:28:19,640 Speaker 1: and that's where foreign oligarchs and other powerful people give 423 00:28:19,760 --> 00:28:23,080 Speaker 1: money to members of the Biden family and then it's 424 00:28:23,160 --> 00:28:26,199 Speaker 1: completely unknown what they get in return, you know, and 425 00:28:26,240 --> 00:28:31,080 Speaker 1: because it's unknown, it's presumably related to policy and taxpayer dollars. 426 00:28:31,119 --> 00:28:33,840 Speaker 1: And so there was no question that this was an 427 00:28:33,880 --> 00:28:38,000 Speaker 1: important story for journalists to cover. They never covered it, 428 00:28:38,000 --> 00:28:39,840 Speaker 1: and then when the New York Posts did cover it, 429 00:28:40,120 --> 00:28:43,160 Speaker 1: they did their best to lie about it, claim it 430 00:28:43,240 --> 00:28:47,240 Speaker 1: was Russian mis information, to d platform New York Posts 431 00:28:47,240 --> 00:28:50,400 Speaker 1: and anybody who shared the story. It was horrible, but 432 00:28:50,440 --> 00:28:53,280 Speaker 1: it was just one of many ways that our corrupt 433 00:28:53,400 --> 00:28:57,680 Speaker 1: media have harmed the country and harmed civil discourse, harmed 434 00:28:57,720 --> 00:29:01,000 Speaker 1: the integrity of our elections, because you know, you look 435 00:29:01,000 --> 00:29:03,160 Speaker 1: at what our country was founded on, in its freedom 436 00:29:03,160 --> 00:29:05,760 Speaker 1: of information and the right to pursue the truth. And 437 00:29:05,840 --> 00:29:09,960 Speaker 1: this is encoded in the First Amendment, religion, speech, press, 438 00:29:10,040 --> 00:29:12,719 Speaker 1: all these things, and the war and the media and 439 00:29:12,880 --> 00:29:16,880 Speaker 1: big tech went to war against these founding ideas that 440 00:29:16,960 --> 00:29:20,760 Speaker 1: are like predate our actual country. And it was horrifying 441 00:29:20,800 --> 00:29:24,960 Speaker 1: to go through. If you compare the false allegations of 442 00:29:25,120 --> 00:29:29,959 Speaker 1: Russia collusion with what we one hundred percent know was 443 00:29:30,080 --> 00:29:35,400 Speaker 1: big tech collusion, isn't it unbelievable that so many people 444 00:29:35,440 --> 00:29:40,320 Speaker 1: who spread the big lie of Russia collusion were directly 445 00:29:40,400 --> 00:29:44,840 Speaker 1: complicit in a conspiracy of big tech companies to alter 446 00:29:45,000 --> 00:29:48,920 Speaker 1: the outcome of the twenty twenty election. After they falsely 447 00:29:49,160 --> 00:29:54,680 Speaker 1: argued that twenty sixteen had been the collusive driven election 448 00:29:54,760 --> 00:29:57,680 Speaker 1: that was outcome, that outcome pursued driven in that way. 449 00:29:57,920 --> 00:30:02,720 Speaker 1: It's an extraordinary irony, this Clay. Isn't that very interesting 450 00:30:02,800 --> 00:30:06,440 Speaker 1: that you know, from twenty sixteen through the next election, 451 00:30:07,000 --> 00:30:10,560 Speaker 1: it wasn't like a fringe theory that these conspiracy theorists 452 00:30:10,560 --> 00:30:14,080 Speaker 1: held to and promulgated. It was massive. It was everybody 453 00:30:14,080 --> 00:30:16,960 Speaker 1: in the media, everybody in the Democratic Party. They claimed 454 00:30:16,960 --> 00:30:20,120 Speaker 1: that Donald Trump stole the twenty sixteen election because he 455 00:30:20,200 --> 00:30:22,920 Speaker 1: was a secret agent of Russia. It was absurd, it 456 00:30:23,040 --> 00:30:25,880 Speaker 1: was evil, and they did it every day, multiple times 457 00:30:25,880 --> 00:30:28,440 Speaker 1: a day. And then on the twenty twenty happens. We 458 00:30:28,440 --> 00:30:30,600 Speaker 1: have all these changes to our election laws. We have 459 00:30:30,920 --> 00:30:33,640 Speaker 1: mail in ballots flooding the system. We have Mark Zuckerberg 460 00:30:33,680 --> 00:30:36,800 Speaker 1: engaged in the private takeover of our government election offices. 461 00:30:37,040 --> 00:30:39,520 Speaker 1: We have the media and tech issues that we talked about, 462 00:30:39,600 --> 00:30:41,840 Speaker 1: and then all of a sudden, these very same people 463 00:30:41,880 --> 00:30:44,520 Speaker 1: who spread the lie that Donald Trump stole the twenty 464 00:30:44,520 --> 00:30:48,720 Speaker 1: sixteen election and spread it maliciously and continuously for years, 465 00:30:48,880 --> 00:30:50,880 Speaker 1: all of a sudden they're like, you can't talk about 466 00:30:50,880 --> 00:30:53,840 Speaker 1: any problems with the twenty twenty election, And when it 467 00:30:53,840 --> 00:30:55,600 Speaker 1: comes down to it, the only thing they can like 468 00:30:55,680 --> 00:30:58,920 Speaker 1: hang their hat on is that Russia was meddled in 469 00:30:58,960 --> 00:31:02,120 Speaker 1: our elections, you know, like one hundred years, oh, except 470 00:31:02,160 --> 00:31:05,120 Speaker 1: for twenty eighteen and twenty twenty. Apparently they bought like 471 00:31:05,200 --> 00:31:07,880 Speaker 1: one hundred thousand dollars in Facebook ads, some of which 472 00:31:07,880 --> 00:31:11,160 Speaker 1: benefited Hillary Clinton, some of which benefited Donald Trump. Well, 473 00:31:11,200 --> 00:31:14,200 Speaker 1: compare that with what tech did in twenty twenty. They 474 00:31:14,200 --> 00:31:18,920 Speaker 1: spent four years gaming algorithms, four years deplatforming effective conservative voices, 475 00:31:19,040 --> 00:31:22,600 Speaker 1: four years censoring important stories four years, you know, telling 476 00:31:22,640 --> 00:31:25,320 Speaker 1: their left leaning social media users to go register to 477 00:31:25,400 --> 00:31:27,680 Speaker 1: vote and to go vote, but not their right leaning users. 478 00:31:27,720 --> 00:31:31,040 Speaker 1: I mean, talk about metling and on a scale so 479 00:31:31,160 --> 00:31:34,040 Speaker 1: much beyond a pitoly you know, whatever Russia did in 480 00:31:34,040 --> 00:31:37,200 Speaker 1: twenty sixteen, it's well said. And I think you and 481 00:31:37,240 --> 00:31:40,400 Speaker 1: I understand this a lot better than your average person would, 482 00:31:40,520 --> 00:31:44,000 Speaker 1: because we write online and you mentioned one hundred thousand 483 00:31:44,080 --> 00:31:47,120 Speaker 1: dollars in Facebook ads. That might sound like a lot 484 00:31:47,160 --> 00:31:50,440 Speaker 1: of money to a regular person, because one hundred thousand 485 00:31:50,520 --> 00:31:53,040 Speaker 1: dollars is a lot of money to a regular person. 486 00:31:53,480 --> 00:31:58,040 Speaker 1: To someone who is buying Facebook ads, one hundred thousand dollars, 487 00:31:58,080 --> 00:32:02,240 Speaker 1: molly is nothing. I mean that that is such a 488 00:32:02,320 --> 00:32:06,320 Speaker 1: tiny pen prick of money. The idea that you could 489 00:32:06,360 --> 00:32:10,680 Speaker 1: swing a presidential election for a hundred thousand dollars when 490 00:32:10,680 --> 00:32:14,360 Speaker 1: we're spending hundreds of millions of dollars a year, if 491 00:32:14,400 --> 00:32:18,440 Speaker 1: not billions of dollars a year on presidential elections, is 492 00:32:18,520 --> 00:32:22,600 Speaker 1: one of the dumbest leave aside the dishonesty of it, 493 00:32:22,600 --> 00:32:25,560 Speaker 1: it's one of the dumbest arguments that I've ever seen 494 00:32:25,840 --> 00:32:29,800 Speaker 1: made and accepted as a reality by anyone with a 495 00:32:29,840 --> 00:32:34,880 Speaker 1: functional brain. And yet again it was not fringe. It 496 00:32:34,960 --> 00:32:37,600 Speaker 1: wasn't you on the outer edges of the Internet that 497 00:32:37,640 --> 00:32:40,640 Speaker 1: this was being promulgated. It was every day in the 498 00:32:40,680 --> 00:32:44,080 Speaker 1: Washington Post, New York Times, you know, CNN, m SMITE, 499 00:32:44,200 --> 00:32:47,680 Speaker 1: all the major media, and it was too stupid to 500 00:32:47,680 --> 00:32:50,800 Speaker 1: believe they actually thought that what they were saying was 501 00:32:50,840 --> 00:32:53,800 Speaker 1: real but caused real damage. And like you point out, 502 00:32:54,080 --> 00:32:57,560 Speaker 1: what tech companies themselves did, you know, after twenty sixteen, 503 00:32:57,560 --> 00:33:00,880 Speaker 1: they felt responsible for Donald Trump winning because the media 504 00:33:01,000 --> 00:33:04,880 Speaker 1: had manipulated Trump's message so that people wouldn't vote for him. 505 00:33:05,080 --> 00:33:07,479 Speaker 1: So he just went with social media to speak directly 506 00:33:07,520 --> 00:33:09,600 Speaker 1: to the people, and the people found that very compelling, 507 00:33:09,840 --> 00:33:12,040 Speaker 1: and so they decided, well, we can't let him speak 508 00:33:12,400 --> 00:33:15,200 Speaker 1: directly to the people. We have to control this. And 509 00:33:15,240 --> 00:33:17,320 Speaker 1: they did ever. I mean, they were kind of public 510 00:33:17,360 --> 00:33:19,480 Speaker 1: about it, but they did all of this game playing, 511 00:33:19,520 --> 00:33:22,920 Speaker 1: you know, with search engines, with suppression of news stories. 512 00:33:22,960 --> 00:33:25,640 Speaker 1: If you were a left wing newspaper like the Washington Post, 513 00:33:25,640 --> 00:33:28,880 Speaker 1: from New York Times, or you know, even outright like 514 00:33:29,040 --> 00:33:33,200 Speaker 1: acknowledged leftist media, those were elevated on Facebook and other 515 00:33:33,200 --> 00:33:37,120 Speaker 1: social media platforms. If you didn't que to corporate media's 516 00:33:37,200 --> 00:33:39,520 Speaker 1: party line. If you, for instance, said that the Russia 517 00:33:39,520 --> 00:33:43,480 Speaker 1: collusion hoax was a lie, which is true, they would 518 00:33:43,520 --> 00:33:46,760 Speaker 1: decrease your reach on social media. Think about the profound 519 00:33:46,840 --> 00:33:50,320 Speaker 1: implications of how that affected people's understanding of reality and 520 00:33:50,400 --> 00:33:53,520 Speaker 1: how they might vote in subsequent elections. There's no doubt 521 00:33:53,560 --> 00:33:55,760 Speaker 1: we're talking to Molly Hemingway. She's a senior editor at 522 00:33:55,760 --> 00:33:58,200 Speaker 1: the Federalist, author of the new book which I would 523 00:33:58,240 --> 00:34:00,880 Speaker 1: encourage all of you to read, Rigged of the big 524 00:34:00,920 --> 00:34:04,200 Speaker 1: tech companies. If you were doing a power ranking of 525 00:34:04,280 --> 00:34:07,760 Speaker 1: how impactful they were in helping to rig the twenty 526 00:34:07,760 --> 00:34:14,560 Speaker 1: twenty election for Joe Biden, how would you assess Twitter, Facebook, Google, YouTube, 527 00:34:14,640 --> 00:34:18,279 Speaker 1: all of these different big tech companies and essentially the 528 00:34:18,360 --> 00:34:21,920 Speaker 1: contributions that they were making in favor of Joe Biden. 529 00:34:22,160 --> 00:34:25,319 Speaker 1: Did any one or two companies stagger you more than 530 00:34:25,440 --> 00:34:28,160 Speaker 1: others in terms of the decisions they were making? How 531 00:34:28,160 --> 00:34:30,759 Speaker 1: would you rank them? Well, of course they're all kind 532 00:34:30,760 --> 00:34:33,759 Speaker 1: of related, sometimes officially, and sometimes they coordinate to d 533 00:34:33,880 --> 00:34:37,680 Speaker 1: platform voices together. But I would say the role that 534 00:34:37,880 --> 00:34:42,120 Speaker 1: Google plays in controlling access to information, they're more powerful 535 00:34:42,120 --> 00:34:46,160 Speaker 1: than any country on Earth. They can d platform people 536 00:34:46,280 --> 00:34:48,759 Speaker 1: at will in a way that you know, they can 537 00:34:49,040 --> 00:34:52,920 Speaker 1: take sites offline, they can take voices offline, and then 538 00:34:52,920 --> 00:34:55,360 Speaker 1: they do it a lot with ways that people don't understand. 539 00:34:55,440 --> 00:34:58,160 Speaker 1: So if you if you're putting something into a search engine, 540 00:34:58,200 --> 00:35:01,080 Speaker 1: I think many Americans have this night idea that what 541 00:35:01,080 --> 00:35:04,719 Speaker 1: they're getting back is somehow balanced or impartial. That just 542 00:35:04,800 --> 00:35:09,520 Speaker 1: simply is not true. They have shown for years that 543 00:35:09,880 --> 00:35:15,240 Speaker 1: conservative or non leftist voices are marginalized in these search 544 00:35:15,280 --> 00:35:17,759 Speaker 1: engines in a way that is almost like a psychological 545 00:35:17,800 --> 00:35:21,120 Speaker 1: experiment on the American people, and of course in other 546 00:35:21,160 --> 00:35:24,840 Speaker 1: countries as well. Is they going to get better or worse? 547 00:35:24,960 --> 00:35:27,880 Speaker 1: In your mind as we move into twenty twenty two 548 00:35:27,920 --> 00:35:31,000 Speaker 1: and twenty twenty four. Is there any shame? Is there 549 00:35:31,040 --> 00:35:34,760 Speaker 1: any legal peril that the Googles, the facebooks, the Twitters 550 00:35:34,760 --> 00:35:39,040 Speaker 1: of the world are facing now based on regulatory investigations, 551 00:35:39,200 --> 00:35:42,759 Speaker 1: or do you think they've been emboldened now given how 552 00:35:42,880 --> 00:35:46,080 Speaker 1: much and how impactful they were, that twenty twenty two 553 00:35:46,120 --> 00:35:48,719 Speaker 1: and twenty twenty four could be worse. Where do we 554 00:35:48,760 --> 00:35:51,799 Speaker 1: go from here? I think we saw what happened after 555 00:35:51,840 --> 00:35:54,160 Speaker 1: twenty twenty and this is partly why the media don't 556 00:35:54,160 --> 00:35:56,279 Speaker 1: want people to talk about the election is because they 557 00:35:56,320 --> 00:35:59,560 Speaker 1: want to continue the operation. Certain things that were done, 558 00:35:59,560 --> 00:36:03,960 Speaker 1: like Mark Zuckerberg's private takeover of government election offices, where 559 00:36:04,000 --> 00:36:06,280 Speaker 1: he spent about as much money as the federal government 560 00:36:06,280 --> 00:36:09,000 Speaker 1: did to run the election and to embed left wing 561 00:36:09,000 --> 00:36:11,799 Speaker 1: activists into it. Some states have made that illegal, some 562 00:36:11,840 --> 00:36:14,520 Speaker 1: states haven't, so it can either continue or not continue, 563 00:36:14,760 --> 00:36:18,000 Speaker 1: depending on what the state law is. But in general, 564 00:36:18,080 --> 00:36:20,520 Speaker 1: I think tech companies do feel emboldened. They might be 565 00:36:20,560 --> 00:36:23,600 Speaker 1: a little surprised if they're not receiving more gratitude from 566 00:36:23,840 --> 00:36:26,600 Speaker 1: the Democrat Party, but see that as it may. I 567 00:36:26,600 --> 00:36:29,279 Speaker 1: think they feel emboldened, and you're seeing Democrats trying to 568 00:36:29,400 --> 00:36:31,960 Speaker 1: ensconce into permanent laws some of the changes that they 569 00:36:32,040 --> 00:36:37,480 Speaker 1: wrought in twenty twenty to create more inconsistency and chaos 570 00:36:37,480 --> 00:36:40,399 Speaker 1: in our election processes. That's kind of a feature for them, 571 00:36:40,440 --> 00:36:42,359 Speaker 1: even if it's a bug for most people to look 572 00:36:42,360 --> 00:36:44,400 Speaker 1: at what happened after twenty twenty and be like, I 573 00:36:44,400 --> 00:36:45,960 Speaker 1: don't know if we should have to wait weeks to 574 00:36:45,960 --> 00:36:48,719 Speaker 1: find out how many people voted, much less who they 575 00:36:48,800 --> 00:36:53,000 Speaker 1: voted for. But you'll see these battles continuing to matter 576 00:36:53,000 --> 00:36:56,000 Speaker 1: because This wasn't just about stopping Donald Trump. This is 577 00:36:56,040 --> 00:37:00,600 Speaker 1: about power going forward for whole parties and whole movement. 578 00:37:01,480 --> 00:37:03,840 Speaker 1: Last question for you, we have President Trump on the 579 00:37:03,840 --> 00:37:07,280 Speaker 1: show tomorrow in the final hour of the program scheduled 580 00:37:07,280 --> 00:37:09,640 Speaker 1: to be on with us. I believe you talked with 581 00:37:09,719 --> 00:37:12,239 Speaker 1: him for five hours or more as a part of 582 00:37:12,280 --> 00:37:16,040 Speaker 1: your book Rigged. What did you learn from President Trump? 583 00:37:16,160 --> 00:37:19,160 Speaker 1: And based on those conversations, do you think he is 584 00:37:19,239 --> 00:37:23,399 Speaker 1: inclined to run again in twenty twenty four in your mind? Yeah. 585 00:37:23,400 --> 00:37:25,560 Speaker 1: When I interviewed him three times for the book, and 586 00:37:25,600 --> 00:37:28,280 Speaker 1: the first interview I wasn't quite sure if he wanted 587 00:37:28,320 --> 00:37:30,280 Speaker 1: to run again. I almost got the feeling he didn't 588 00:37:30,320 --> 00:37:32,879 Speaker 1: want to have to do it. So I think three 589 00:37:32,920 --> 00:37:35,440 Speaker 1: things are arguing in favor of him running. One, I 590 00:37:35,520 --> 00:37:38,080 Speaker 1: think he's disappointed that the Republican Party has kind of 591 00:37:38,120 --> 00:37:43,920 Speaker 1: returned to form that speckless weakness that frustrated voters so much. Too, 592 00:37:43,960 --> 00:37:45,839 Speaker 1: I don't think he's getting credit for what he did. 593 00:37:45,880 --> 00:37:48,600 Speaker 1: I mean, he actually achieved quite a bit policy wise, 594 00:37:49,160 --> 00:37:53,440 Speaker 1: and I think that he needs to have his legacy 595 00:37:53,440 --> 00:37:55,719 Speaker 1: affirmed for him not to want to run again. And 596 00:37:55,719 --> 00:37:58,200 Speaker 1: then finally, I think the establishment is freaking out so 597 00:37:58,320 --> 00:38:00,480 Speaker 1: much about him running, but it's signaling to him that 598 00:38:00,520 --> 00:38:02,560 Speaker 1: he might need to do it again. So I don't 599 00:38:02,560 --> 00:38:05,120 Speaker 1: know if he will or won't, but it is interesting 600 00:38:05,160 --> 00:38:08,640 Speaker 1: to see how poorly the establishment responded to his initial 601 00:38:08,719 --> 00:38:11,560 Speaker 1: run and how they're how poorly they're responding to the 602 00:38:11,600 --> 00:38:15,280 Speaker 1: political situation right now. Molly Hemingway, she is the senior 603 00:38:15,440 --> 00:38:19,399 Speaker 1: editor at The Federalist. Fantastic author Go Read Rigged. I'm 604 00:38:19,400 --> 00:38:22,040 Speaker 1: looking forward to reading it myself, all about the twenty 605 00:38:22,040 --> 00:38:25,400 Speaker 1: twenty presidential election and the power of big tech to 606 00:38:26,080 --> 00:38:28,360 Speaker 1: rig the outcome of this election. Molly, keep up the 607 00:38:28,360 --> 00:38:31,240 Speaker 1: good work, appreciate the time, Thank you so much. Glide bye. 608 00:38:31,960 --> 00:38:34,600 Speaker 1: That is Molly Hemingway. We will be back breakdown a 609 00:38:34,600 --> 00:38:37,160 Speaker 1: little bit more of that discussion, because I do think 610 00:38:37,640 --> 00:38:42,080 Speaker 1: the power and scope and magnitude of big tech's influence 611 00:38:42,160 --> 00:38:45,279 Speaker 1: continues to be underrated in terms of what they were 612 00:38:45,320 --> 00:38:49,040 Speaker 1: capable of pulling off in the twenty twenty election. But 613 00:38:49,239 --> 00:38:50,960 Speaker 1: that will be in a moment. First, I gotta tell 614 00:38:51,040 --> 00:38:53,600 Speaker 1: you what's the best discovery in the past month that 615 00:38:53,680 --> 00:38:56,120 Speaker 1: we've had here on the show. 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