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 --> 00:00:07,240 Speaker 1: Sexton Show podcast. Welcome back, everybody. Obviously a lot going 3 00:00:07,280 --> 00:00:10,719 Speaker 1: on in the political realm right now. People are asking 4 00:00:10,840 --> 00:00:14,880 Speaker 1: questions about what happened in Georgia and also who should 5 00:00:14,880 --> 00:00:19,520 Speaker 1: be leading the Republican Party in a variety of roles. Well, 6 00:00:19,640 --> 00:00:23,600 Speaker 1: right now we have House Majority Leader and possible next 7 00:00:23,600 --> 00:00:27,840 Speaker 1: Speaker of the House, Congressman Kevin McCarthy on the line 8 00:00:27,840 --> 00:00:29,600 Speaker 1: with us, and he also has a big announcement which 9 00:00:29,600 --> 00:00:31,360 Speaker 1: I want to get to you first about the vaccine 10 00:00:31,720 --> 00:00:34,440 Speaker 1: mandate in the military. Congressman. Appreciate you joining us, sir, 11 00:00:35,120 --> 00:00:37,199 Speaker 1: Thanks for having me, Appreciate you having the opportunity be on. 12 00:00:37,640 --> 00:00:40,239 Speaker 1: So what can you tell us about the status of 13 00:00:40,280 --> 00:00:44,640 Speaker 1: the vaccine mandate for military service members as there's a 14 00:00:44,640 --> 00:00:47,879 Speaker 1: lot of back and forth right now with the NDAA 15 00:00:47,920 --> 00:00:52,960 Speaker 1: funding authorization, etc. Yes, now we've got good news. Finally 16 00:00:52,960 --> 00:00:56,840 Speaker 1: we've watched what this mandate has done. We've watched what 17 00:00:56,920 --> 00:01:00,480 Speaker 1: FAUCI has done to our nations, that fopping trying to control, 18 00:01:00,680 --> 00:01:02,680 Speaker 1: well they tried to control our military two and what 19 00:01:02,760 --> 00:01:05,640 Speaker 1: has happened. Some of our very best have been kicked 20 00:01:05,640 --> 00:01:09,920 Speaker 1: out the army is down five thousand soldiers short because 21 00:01:09,920 --> 00:01:12,720 Speaker 1: they can't meet their target for recruiting. They keep this 22 00:01:12,840 --> 00:01:17,560 Speaker 1: mandate in there. We won the election. I know Republicans 23 00:01:17,600 --> 00:01:19,080 Speaker 1: lost in a lot of places, but in the House 24 00:01:19,120 --> 00:01:21,400 Speaker 1: we won the majority. I went down and I saw 25 00:01:21,440 --> 00:01:27,000 Speaker 1: the President. Another week, the NBA, the National Defense Authoration Act, 26 00:01:28,400 --> 00:01:31,240 Speaker 1: is up for renewal, and you know what happened. I 27 00:01:31,280 --> 00:01:34,480 Speaker 1: told the President we wouldn't pass it unless we lifted 28 00:01:34,840 --> 00:01:39,000 Speaker 1: this mandate. I know the Secretary Defense got mad at me. 29 00:01:39,040 --> 00:01:42,040 Speaker 1: We had long discussions about this, but we just put 30 00:01:42,080 --> 00:01:44,240 Speaker 1: the bill forth and we're going to be able to 31 00:01:44,240 --> 00:01:46,600 Speaker 1: lift the mandate off this so no longer will the 32 00:01:46,640 --> 00:01:50,960 Speaker 1: men and women be forced to take this vaccine. Well, 33 00:01:51,000 --> 00:01:54,360 Speaker 1: it's certainly good news and a step Congress and McCarthy 34 00:01:54,440 --> 00:01:57,120 Speaker 1: in the right direction. Of a couple of questions about it. 35 00:01:57,160 --> 00:02:00,480 Speaker 1: And first off, I do have to ask the Secretary 36 00:02:00,480 --> 00:02:04,400 Speaker 1: of Defense really thinks that the mandate for the vaccine 37 00:02:04,440 --> 00:02:08,440 Speaker 1: that no one even argues stops the spread or is 38 00:02:08,520 --> 00:02:12,440 Speaker 1: even useful beyond a perhaps sixty day window at best 39 00:02:12,160 --> 00:02:15,520 Speaker 1: for really almost anyone. He still thinks it's a good idea. 40 00:02:16,040 --> 00:02:18,800 Speaker 1: Is he unable to read the studies the data. Why 41 00:02:18,840 --> 00:02:21,520 Speaker 1: would he think that, I don't know. You know, we 42 00:02:21,600 --> 00:02:25,160 Speaker 1: have a number of doctors who serve in Congress. They 43 00:02:25,160 --> 00:02:27,919 Speaker 1: send them a letter more than a month ago about 44 00:02:27,960 --> 00:02:32,960 Speaker 1: lifting this, giving all the statistics and actually showing that 45 00:02:33,160 --> 00:02:36,800 Speaker 1: remember about the age of where this COVID affects, and 46 00:02:36,840 --> 00:02:39,839 Speaker 1: remember if somebody has had it the immune system, they're 47 00:02:39,840 --> 00:02:43,120 Speaker 1: actually stronger in the process. They proposed, why don't you 48 00:02:43,120 --> 00:02:44,640 Speaker 1: have a blood test on everywhere? Than you see that 49 00:02:44,680 --> 00:02:46,680 Speaker 1: none of these people have a problem. And you know 50 00:02:46,720 --> 00:02:49,160 Speaker 1: what we're happening, especially for a number of those members 51 00:02:49,160 --> 00:02:52,120 Speaker 1: for Congress. We're getting some of the best and brightest 52 00:02:52,120 --> 00:02:54,080 Speaker 1: who want to go to the academies and then they're 53 00:02:54,120 --> 00:02:57,000 Speaker 1: being denied. They're being denied because they won't be able 54 00:02:57,000 --> 00:02:59,120 Speaker 1: to have vaccine. We're seeing people that we have the 55 00:02:59,200 --> 00:03:01,280 Speaker 1: point of that's gone through and done all the work 56 00:03:01,360 --> 00:03:04,480 Speaker 1: to graduate and now trying to be denied. We're stomping 57 00:03:04,520 --> 00:03:07,919 Speaker 1: all that. We're lifting it. The Secretary Defense, I called 58 00:03:07,960 --> 00:03:10,079 Speaker 1: him about a month ago and told him we need 59 00:03:10,120 --> 00:03:12,720 Speaker 1: to lift this. He argued with me. Once I got 60 00:03:12,720 --> 00:03:15,120 Speaker 1: the President on board, he called me again trying to 61 00:03:15,160 --> 00:03:17,680 Speaker 1: tell me no, he wanted to keep this, and I said, look, 62 00:03:17,680 --> 00:03:19,680 Speaker 1: we make policy here. I guess you need to talk 63 00:03:19,680 --> 00:03:22,280 Speaker 1: to the President about having him veto the NBA event 64 00:03:22,320 --> 00:03:24,520 Speaker 1: because this is going to be in it. And look, 65 00:03:24,720 --> 00:03:26,799 Speaker 1: this is just a small thing. We're able to get 66 00:03:26,800 --> 00:03:29,280 Speaker 1: why the Democrats are still in the majority, But this 67 00:03:29,360 --> 00:03:31,359 Speaker 1: is what's coming in January. Third, We're going to be 68 00:03:31,440 --> 00:03:33,160 Speaker 1: able to work on so much more. We're going to 69 00:03:33,200 --> 00:03:36,440 Speaker 1: be able to bring accountability. I would just left Jim 70 00:03:36,520 --> 00:03:39,480 Speaker 1: Jordan now, but they'll think about him as Chairman of 71 00:03:39,720 --> 00:03:44,200 Speaker 1: Judiciary or Jamie coomer an oversight. This is an opportunity 72 00:03:44,200 --> 00:03:46,760 Speaker 1: for one for us to finally secure our border, get 73 00:03:46,800 --> 00:03:50,560 Speaker 1: an economy that's strong, but actually have a military that 74 00:03:50,640 --> 00:03:53,160 Speaker 1: can do their job and stop the wokeism. Ken I 75 00:03:53,200 --> 00:03:56,120 Speaker 1: can I ask you, Concress McCarthy, is there anything that 76 00:03:56,240 --> 00:03:59,240 Speaker 1: you're planning to at least try to do. I know 77 00:03:59,480 --> 00:04:02,440 Speaker 1: that have the Senate and don't have the presidency, But 78 00:04:03,040 --> 00:04:05,840 Speaker 1: the people who have already been separated from the military 79 00:04:05,920 --> 00:04:09,480 Speaker 1: because of that vaccine mandate, I believe, and we've been 80 00:04:09,480 --> 00:04:13,120 Speaker 1: saying on the show, Clay and I agree vociferously those 81 00:04:13,160 --> 00:04:16,920 Speaker 1: individuals should be hired back and given back pay and 82 00:04:17,080 --> 00:04:19,760 Speaker 1: no loss of you. They should get the rank that 83 00:04:19,800 --> 00:04:23,760 Speaker 1: they would have had had they stayed in currently. This 84 00:04:23,839 --> 00:04:26,480 Speaker 1: is exactly the discussion I had with the President as well, 85 00:04:26,600 --> 00:04:29,240 Speaker 1: because the Secretary of Defense kind of fought me. I 86 00:04:29,279 --> 00:04:32,440 Speaker 1: don't have the language I want completely, but this is 87 00:04:32,480 --> 00:04:35,920 Speaker 1: the uniqueness when this portion. Now, we start already in 88 00:04:36,040 --> 00:04:39,279 Speaker 1: January to make sure all that happens. I've got a 89 00:04:39,279 --> 00:04:42,039 Speaker 1: lot of assurance about much of that happening. They put 90 00:04:42,040 --> 00:04:44,400 Speaker 1: a little study language in. It is not what I wanted, 91 00:04:44,480 --> 00:04:46,360 Speaker 1: but this is one of the very first things we're 92 00:04:46,360 --> 00:04:49,240 Speaker 1: working on because these people have been denied and think 93 00:04:49,279 --> 00:04:51,919 Speaker 1: of what they were able to do to defend our nation, 94 00:04:51,960 --> 00:04:54,040 Speaker 1: the work that they did, the effort that they put in, 95 00:04:54,240 --> 00:04:57,320 Speaker 1: and some of them on a religious basis was kicked out. 96 00:04:57,400 --> 00:05:00,000 Speaker 1: That is wrong. So we want to reinstate all those 97 00:05:00,240 --> 00:05:02,160 Speaker 1: want to go back, and they should be able to 98 00:05:02,200 --> 00:05:05,520 Speaker 1: go to the rank that they had the right reason 99 00:05:05,560 --> 00:05:08,760 Speaker 1: to go to. We're speaking to House Majority Leader Kevin 100 00:05:08,880 --> 00:05:13,360 Speaker 1: McCarthy and Congressman you know, there's a lot of disappointment, 101 00:05:13,400 --> 00:05:16,200 Speaker 1: and you're speaking to an audience across the country that 102 00:05:16,240 --> 00:05:19,000 Speaker 1: really feels that you did point out that we did 103 00:05:19,000 --> 00:05:21,480 Speaker 1: win the House. Fortunately not by what we had hoped 104 00:05:21,600 --> 00:05:23,520 Speaker 1: or should have in my opinion, but we did win 105 00:05:23,560 --> 00:05:25,600 Speaker 1: control the House, which is a step in the right direction. 106 00:05:26,200 --> 00:05:28,320 Speaker 1: But as we're going into what is already now going 107 00:05:28,320 --> 00:05:31,720 Speaker 1: to be a clear presidential election cycle with a lot 108 00:05:31,760 --> 00:05:36,720 Speaker 1: of and also congressional with a lot of interesting dynamics 109 00:05:36,720 --> 00:05:40,960 Speaker 1: at play, there is a dissatisfaction that comes up a 110 00:05:41,040 --> 00:05:43,800 Speaker 1: lot with well, what about the people in charge and 111 00:05:43,839 --> 00:05:47,880 Speaker 1: what about accountability? Names that get talked about Arona McDaniel 112 00:05:47,880 --> 00:05:51,640 Speaker 1: at the RNC. I know there's an ongoing now contestacy 113 00:05:51,640 --> 00:05:54,240 Speaker 1: who will lead the RNC. Mitch McConnell in the Senate, 114 00:05:54,400 --> 00:05:58,159 Speaker 1: and you, as House Majority Leader, you are the likeliest 115 00:05:58,240 --> 00:06:01,320 Speaker 1: still to be Speaker of the House in the next Congress. 116 00:06:01,800 --> 00:06:03,520 Speaker 1: Why are you the right guy? What do you say 117 00:06:03,560 --> 00:06:07,080 Speaker 1: to people who have concerns that you haven't fought enough 118 00:06:07,120 --> 00:06:09,400 Speaker 1: for that, even if it's just a there needs to 119 00:06:09,400 --> 00:06:13,279 Speaker 1: be accountability for underperformance for the GOP writ large. What 120 00:06:13,320 --> 00:06:16,160 Speaker 1: do you say to those people? You know, that's a 121 00:06:16,240 --> 00:06:18,880 Speaker 1: debate we all should have. So I said, look at 122 00:06:18,880 --> 00:06:21,880 Speaker 1: everybody based upon their merit. I've been leader for four years. 123 00:06:22,480 --> 00:06:25,200 Speaker 1: In those four years, we've had two election cycles and 124 00:06:25,320 --> 00:06:28,880 Speaker 1: those two election cycles, they haven't been good for Republicans. 125 00:06:29,040 --> 00:06:31,760 Speaker 1: They've lost seats in the Senate, they've lost seats and governors, 126 00:06:32,040 --> 00:06:34,560 Speaker 1: they've lost the presidency. But do you know, in those 127 00:06:34,560 --> 00:06:37,480 Speaker 1: two cycles since I've been leader, we've only won seats 128 00:06:37,800 --> 00:06:40,960 Speaker 1: when everybody else lost. We won last time, we won 129 00:06:41,040 --> 00:06:43,279 Speaker 1: this time. Do I want to win more? Yeah? Did 130 00:06:43,320 --> 00:06:47,039 Speaker 1: we have higher Republican vote than Democrat did? Yeah, almost 131 00:06:47,080 --> 00:06:49,120 Speaker 1: to the same measurement when you take those hundred and 132 00:06:49,200 --> 00:06:51,560 Speaker 1: seven million people who voted to the same in what 133 00:06:51,640 --> 00:06:53,800 Speaker 1: it was in twenty ten. But we've had redistricting, it's 134 00:06:53,839 --> 00:06:58,719 Speaker 1: more competitive. Did we win five seats one places that 135 00:06:58,800 --> 00:07:02,040 Speaker 1: the Democrats Biden actually won by more than ten points. 136 00:07:02,240 --> 00:07:04,400 Speaker 1: We beat the d triple C chair That hasn't happened 137 00:07:04,400 --> 00:07:07,680 Speaker 1: in forty two years. Both cycles. We won in California, 138 00:07:07,720 --> 00:07:11,200 Speaker 1: picked up more seats we won in Oregon. And look 139 00:07:11,280 --> 00:07:14,960 Speaker 1: from one perspective, if I didn't fight enough, think from 140 00:07:15,000 --> 00:07:17,280 Speaker 1: this one moment, what did you just find for the 141 00:07:17,360 --> 00:07:19,520 Speaker 1: vaccine lift that we've been trying to do for more 142 00:07:19,560 --> 00:07:23,240 Speaker 1: than two years. We just had that happen. So yeah, 143 00:07:23,280 --> 00:07:26,120 Speaker 1: I think people should should be held accountable. I think 144 00:07:26,160 --> 00:07:28,320 Speaker 1: people should be charged on their merit. If you think 145 00:07:28,360 --> 00:07:32,560 Speaker 1: someone's better that from winning the majority, laying out the 146 00:07:32,600 --> 00:07:35,880 Speaker 1: agenda and the commitment to America, working with everybody on 147 00:07:35,920 --> 00:07:39,360 Speaker 1: the floor, didn't support that person. But I believe you 148 00:07:39,440 --> 00:07:42,360 Speaker 1: have primaries, then you have generals. So I went before 149 00:07:42,400 --> 00:07:46,320 Speaker 1: the entire conference after the election, one more than eighty 150 00:07:46,360 --> 00:07:49,600 Speaker 1: five percent of the conference vote. The one thing we 151 00:07:49,720 --> 00:07:52,840 Speaker 1: cannot have happened here is we are the only line 152 00:07:52,840 --> 00:07:56,040 Speaker 1: of defense. We are the only ones that have a majority. 153 00:07:56,200 --> 00:07:58,480 Speaker 1: And the one thing I will tell everybody, they do 154 00:07:58,560 --> 00:08:02,000 Speaker 1: not hand gavels out in small, medium, and large. They 155 00:08:02,040 --> 00:08:05,120 Speaker 1: just hand one gavel. We have the same majority today 156 00:08:05,440 --> 00:08:08,600 Speaker 1: that Nancy Pelosi has in the last Congress. And can 157 00:08:08,640 --> 00:08:10,160 Speaker 1: I ask you what are you going We're speaking to 158 00:08:10,200 --> 00:08:13,600 Speaker 1: House Majority Leader McCarthy right now, everybody, What are you 159 00:08:13,640 --> 00:08:15,960 Speaker 1: going to do with that majority? What is top of 160 00:08:15,960 --> 00:08:17,600 Speaker 1: the agenda. I just wanted to give you the floor 161 00:08:17,640 --> 00:08:20,400 Speaker 1: to make the case to everybody. On the very first day, 162 00:08:20,440 --> 00:08:23,440 Speaker 1: we're going to repeal the eighty seven thousand RS agents, 163 00:08:23,760 --> 00:08:25,320 Speaker 1: We're going to go in and we're going to secure 164 00:08:25,360 --> 00:08:26,760 Speaker 1: the border. How are we going to do that? I've 165 00:08:26,800 --> 00:08:28,880 Speaker 1: already invited the president to go join, but we're going 166 00:08:28,960 --> 00:08:31,760 Speaker 1: to move hearing down to the border to make sure 167 00:08:31,800 --> 00:08:34,000 Speaker 1: we secure it. The next thing you're going to find 168 00:08:34,080 --> 00:08:36,520 Speaker 1: is do we're going to make America energy independent, but 169 00:08:36,559 --> 00:08:39,400 Speaker 1: not just energy independent where we grow our economy, lower 170 00:08:39,400 --> 00:08:42,560 Speaker 1: our gas price. We want to make other countries dependent 171 00:08:42,600 --> 00:08:45,040 Speaker 1: upon us. We're going to bring the supply chain back. 172 00:08:45,080 --> 00:08:47,760 Speaker 1: I'm going to announce tomorrow the creation of the Select 173 00:08:47,800 --> 00:08:50,520 Speaker 1: Committee on China. We're going to bring the supply chain 174 00:08:50,559 --> 00:08:53,240 Speaker 1: back from China to America. You're going to see the 175 00:08:53,400 --> 00:08:55,720 Speaker 1: parents have a say in their kids education no longer 176 00:08:55,720 --> 00:08:57,960 Speaker 1: we're going to watch what's happening that's been going on. 177 00:08:58,200 --> 00:09:01,480 Speaker 1: We're going to pass the Parents Bill, and most importantly, 178 00:09:01,480 --> 00:09:04,360 Speaker 1: you're going to find a government that's held accountable. We 179 00:09:04,440 --> 00:09:08,240 Speaker 1: can't send one one subpoena out until we get this done. 180 00:09:08,280 --> 00:09:10,640 Speaker 1: But if you watched the other day, I laid out 181 00:09:10,760 --> 00:09:13,240 Speaker 1: very clearly, if you want to secure the border, we've 182 00:09:13,280 --> 00:09:15,679 Speaker 1: got to start with the Secretary of Homeland. If my 183 00:09:15,840 --> 00:09:18,400 Speaker 1: orchist is not resigned to find January third, we're going 184 00:09:18,480 --> 00:09:21,600 Speaker 1: to start hearings and investigate what has gone on. There 185 00:09:21,679 --> 00:09:24,280 Speaker 1: is no way he can look Americans in the eye 186 00:09:24,360 --> 00:09:27,079 Speaker 1: and tell us that secure he is lying to us, 187 00:09:27,440 --> 00:09:31,040 Speaker 1: and we will start that process on the very first day. Well, 188 00:09:31,040 --> 00:09:35,360 Speaker 1: Congressman McCarthy and possibly Speaker McCarthy soon, we hope you'll 189 00:09:35,400 --> 00:09:38,440 Speaker 1: come back talk to us again and really lay out 190 00:09:38,520 --> 00:09:43,040 Speaker 1: how that agenda is unrolled and how it's going in 191 00:09:43,080 --> 00:09:45,600 Speaker 1: the new year, because we really need some wins, and 192 00:09:45,640 --> 00:09:47,440 Speaker 1: if we're going to get him at the national level, 193 00:09:47,440 --> 00:09:48,800 Speaker 1: it's got to come from the House. And if you're 194 00:09:48,800 --> 00:09:50,920 Speaker 1: in leadership, we're gon we're gonna need you to do 195 00:09:50,960 --> 00:09:53,080 Speaker 1: your absolute best. Sir. We really appreciate you making the 196 00:09:53,120 --> 00:09:55,880 Speaker 1: time coming on the show today and talking to us. Oh, 197 00:09:55,920 --> 00:09:59,160 Speaker 1: I appreciate you greatly. Look forward to coming back. And yeah, 198 00:09:59,160 --> 00:10:01,559 Speaker 1: and you got to say gratulations on the vaccine mandate 199 00:10:01,559 --> 00:10:04,160 Speaker 1: because that is a big win and we really do appreciate. 200 00:10:04,200 --> 00:10:06,199 Speaker 1: Now that's just the first twin. Wait till we get 201 00:10:06,200 --> 00:10:08,920 Speaker 1: sworn in, it's all going to start to change. Excellent, 202 00:10:09,120 --> 00:10:11,320 Speaker 1: Kevin McCarthy, everybody, Kevin, thanks so much, being will to 203 00:10:11,320 --> 00:10:14,920 Speaker 1: appreciate you. Books under the Christmas tree this holiday are 204 00:10:14,920 --> 00:10:18,240 Speaker 1: a great gift idea, particularly if they're one or other 205 00:10:18,400 --> 00:10:21,880 Speaker 1: of the Total Twins books series. They're not just books 206 00:10:21,920 --> 00:10:24,640 Speaker 1: with whimsical stories. They're books with great messages that open 207 00:10:24,760 --> 00:10:27,840 Speaker 1: up all kinds of discussions between you and your children. 208 00:10:28,200 --> 00:10:30,800 Speaker 1: Some teachers and so many textbooks in schools focus on 209 00:10:30,840 --> 00:10:34,520 Speaker 1: activism instead of education. These books counteract that they protect 210 00:10:34,559 --> 00:10:37,880 Speaker 1: kids from misguided ideas. Each of the Tuntle Twins books 211 00:10:37,920 --> 00:10:41,000 Speaker 1: helps kids understand logic and the beauty of personal liberty. 212 00:10:41,280 --> 00:10:43,920 Speaker 1: These simple books with pictures and thought provoking stories make 213 00:10:43,960 --> 00:10:46,719 Speaker 1: it easy for kids to understand. You can share these 214 00:10:46,720 --> 00:10:50,080 Speaker 1: books with your kids, nieces, nephews, and grandchildren. It's a 215 00:10:50,120 --> 00:10:53,319 Speaker 1: big thought, but you're able to introduce notions like smaller government, 216 00:10:53,440 --> 00:10:57,600 Speaker 1: personal liberty, self sufficiency, and entrepreneurship to the young ones 217 00:10:57,800 --> 00:11:01,080 Speaker 1: in your life. So great, so easy. Go online right 218 00:11:01,120 --> 00:11:04,240 Speaker 1: now to Tuttle radio dot com to get these life 219 00:11:04,320 --> 00:11:06,960 Speaker 1: changing books for all the kids in your life. Get 220 00:11:07,000 --> 00:11:09,760 Speaker 1: your order in soon to beat the holiday shipping deadline. 221 00:11:10,000 --> 00:11:12,720 Speaker 1: Choose from all kinds of great books now available online 222 00:11:12,800 --> 00:11:15,679 Speaker 1: at Tuttle radio dot com. That's t U T t 223 00:11:16,200 --> 00:11:19,760 Speaker 1: l E Radio dot com. One more time, Tuttle radio 224 00:11:20,160 --> 00:11:25,400 Speaker 1: dot com. We got doctor Marty McCarry with us now 225 00:11:25,440 --> 00:11:29,560 Speaker 1: if Johns Hopkins University Medical School. He's been such an 226 00:11:29,559 --> 00:11:34,000 Speaker 1: important voice of sanity on COVID, COVID policies and all 227 00:11:34,040 --> 00:11:36,360 Speaker 1: the rest of it. Doctor McCarry, appreciate you coming back. 228 00:11:36,920 --> 00:11:42,000 Speaker 1: Good to be with you, Brooks. Let's start with long COVID, 229 00:11:43,000 --> 00:11:47,319 Speaker 1: because there's been some reports out recently of hey, maybe 230 00:11:47,360 --> 00:11:50,960 Speaker 1: long COVID not really what we thought it was. But 231 00:11:51,320 --> 00:11:54,640 Speaker 1: I've also seen some people suggesting not even really a thing. 232 00:11:54,720 --> 00:12:01,600 Speaker 1: What do we know? Well, people do get fatigued and 233 00:12:01,840 --> 00:12:05,600 Speaker 1: feel a little tired weeks after they're sick, no matter 234 00:12:05,640 --> 00:12:09,280 Speaker 1: what they're sick with. And what we're learning is that 235 00:12:09,400 --> 00:12:13,760 Speaker 1: long COVID does not happen in twenty percent of everybody 236 00:12:13,760 --> 00:12:17,560 Speaker 1: with COVID, as the CDC warns us, but a study 237 00:12:17,600 --> 00:12:20,320 Speaker 1: from the UK found it's about three percent of people 238 00:12:20,640 --> 00:12:23,320 Speaker 1: when you look twelve weeks after they were sick. And 239 00:12:23,480 --> 00:12:26,320 Speaker 1: another study that just came out found that if you 240 00:12:26,400 --> 00:12:30,120 Speaker 1: came in with some upper respiratory infection like the flu 241 00:12:30,440 --> 00:12:34,480 Speaker 1: or RSP, that you had the same rate of long 242 00:12:34,520 --> 00:12:38,520 Speaker 1: haul symptoms three months out as you did from COVID. 243 00:12:39,240 --> 00:12:44,199 Speaker 1: So it tells us that this giant COVID industrial complex 244 00:12:44,960 --> 00:12:48,640 Speaker 1: is something that the CDC and NIH are fixated on. 245 00:12:49,200 --> 00:12:53,719 Speaker 1: But it may be in part the medicalization of ordinary life. Now, 246 00:12:53,720 --> 00:12:55,320 Speaker 1: we know you can lose your sense to smell a 247 00:12:55,320 --> 00:12:57,840 Speaker 1: little bit longer, and we know some people get brain 248 00:12:57,880 --> 00:13:01,320 Speaker 1: fog unique to COVID, but the it's not like lightning 249 00:13:01,320 --> 00:13:04,920 Speaker 1: that strikes people at a rate of one in five Americans, 250 00:13:05,040 --> 00:13:11,320 Speaker 1: like the CDC says, so definitely exaggerated and also more 251 00:13:11,400 --> 00:13:14,760 Speaker 1: in line with what people would see in other respiratory 252 00:13:14,760 --> 00:13:16,640 Speaker 1: infections as well. Right, so, if you get a really 253 00:13:16,679 --> 00:13:19,959 Speaker 1: bad case of flu, you might have some lingering symptoms. 254 00:13:20,400 --> 00:13:22,280 Speaker 1: Doctor m. Kerry, I also want to ask you about 255 00:13:23,440 --> 00:13:27,360 Speaker 1: the Princeton University study that is getting a fair amount 256 00:13:27,360 --> 00:13:31,360 Speaker 1: of attention right now on masking. What First of all, 257 00:13:31,480 --> 00:13:34,520 Speaker 1: is this a really good and serious and honest study, 258 00:13:34,640 --> 00:13:38,080 Speaker 1: and what does it tell us? It's a pretty good study. 259 00:13:38,120 --> 00:13:42,040 Speaker 1: It basically says that when you're dealing with highly contagious 260 00:13:42,160 --> 00:13:48,520 Speaker 1: viruses like COVID, that all the mitigation is basically postponing 261 00:13:48,559 --> 00:13:51,640 Speaker 1: the inevitable. Now, maybe that made sense for a little 262 00:13:51,640 --> 00:13:55,680 Speaker 1: bit when hospitals were overrun, but at this point is 263 00:13:55,840 --> 00:13:59,360 Speaker 1: basically telling us that you can do everything you want 264 00:13:59,600 --> 00:14:01,600 Speaker 1: and you going to get COVID at some point in 265 00:14:01,640 --> 00:14:05,200 Speaker 1: your lifetime, and that study did not even factor in 266 00:14:05,320 --> 00:14:09,080 Speaker 1: something we call immunity debt, which means when your immune 267 00:14:09,120 --> 00:14:13,400 Speaker 1: system is sheltered from being in lockdown and being isolated 268 00:14:13,440 --> 00:14:17,560 Speaker 1: and wearing a mask, you're more susceptible. That's the theory 269 00:14:17,600 --> 00:14:19,880 Speaker 1: of immunity debt, and that's why many people think we've 270 00:14:19,920 --> 00:14:23,840 Speaker 1: got this massive epidemic of flu and RSP right going 271 00:14:23,880 --> 00:14:26,680 Speaker 1: on right now. Yeah, So can you explain more on 272 00:14:26,720 --> 00:14:29,320 Speaker 1: this one? You know, even my family in New York 273 00:14:29,360 --> 00:14:32,400 Speaker 1: has gone through what feels like a few rounds they've got, 274 00:14:33,280 --> 00:14:36,960 Speaker 1: there's a grandchild involved, My parents are elderly, and everyone's 275 00:14:36,960 --> 00:14:40,320 Speaker 1: been getting sick multiple times this fall and going into winter, 276 00:14:40,760 --> 00:14:45,760 Speaker 1: all with upper respiratory infections. What is this immune immunity 277 00:14:45,800 --> 00:14:51,760 Speaker 1: debt concept again? So, the immunity debt concept is says 278 00:14:51,800 --> 00:14:55,560 Speaker 1: that when you're normally living your life, your body and 279 00:14:55,680 --> 00:14:59,760 Speaker 1: immune system are exposed to low levels of viruses and 280 00:15:00,040 --> 00:15:02,960 Speaker 1: you build up some immunity even though you're not really 281 00:15:03,080 --> 00:15:06,840 Speaker 1: sick or you have a minimal illness, you get kind 282 00:15:06,880 --> 00:15:10,320 Speaker 1: of a transient infection. You hear people say that their 283 00:15:10,400 --> 00:15:14,800 Speaker 1: wife had was sick, but they never got sick. Well, 284 00:15:14,920 --> 00:15:18,080 Speaker 1: your immune system though, did get beefed up a little 285 00:15:18,120 --> 00:15:21,040 Speaker 1: bit because it was around it. So when you put 286 00:15:21,080 --> 00:15:25,560 Speaker 1: people in lockdowns and isolate them and you know, shut 287 00:15:25,640 --> 00:15:27,920 Speaker 1: kids out of school and then put them all in masks, 288 00:15:28,400 --> 00:15:31,720 Speaker 1: their immune system is not exposed to that low level 289 00:15:31,840 --> 00:15:35,680 Speaker 1: pathogen exposure, and the ideas the immune system weakens, and 290 00:15:35,720 --> 00:15:38,160 Speaker 1: then when a virus really crops up like it is 291 00:15:38,240 --> 00:15:41,440 Speaker 1: right now with flu and RSP, they get hit really hard. 292 00:15:42,400 --> 00:15:45,440 Speaker 1: Speaking of doctor or Marty McCarry of Johns Hopkins University 293 00:15:45,520 --> 00:15:52,040 Speaker 1: Medical Center and doctor McCarey, the vaccine side effects that 294 00:15:52,080 --> 00:15:54,320 Speaker 1: we for a long time, and this brings in the 295 00:15:54,440 --> 00:15:57,480 Speaker 1: social media discussion, I think as well, you weren't allowed 296 00:15:57,520 --> 00:16:01,480 Speaker 1: to talk about vaccine side effects, to share data, certainly, 297 00:16:01,480 --> 00:16:06,120 Speaker 1: not to share personal anecdotes about any believed vaccine side 298 00:16:06,120 --> 00:16:08,480 Speaker 1: effects that a person may have had. What do we 299 00:16:08,560 --> 00:16:12,760 Speaker 1: know about the vaccines and side effect profiles that they have. 300 00:16:12,880 --> 00:16:15,440 Speaker 1: Now that we're more able to have that discussion and 301 00:16:15,480 --> 00:16:18,440 Speaker 1: have more data than ever before, well we're learning a 302 00:16:18,520 --> 00:16:22,000 Speaker 1: lot more. And one of those studies that is telling 303 00:16:22,080 --> 00:16:25,240 Speaker 1: us what we've been missing has been from Germany, where 304 00:16:25,240 --> 00:16:29,480 Speaker 1: they actually looked at people who died suddenly immediately after 305 00:16:29,520 --> 00:16:34,520 Speaker 1: the vaccine, and in five autopsies they found that the 306 00:16:34,640 --> 00:16:38,200 Speaker 1: vaccine was the definitive cause of the death. These were 307 00:16:38,200 --> 00:16:41,480 Speaker 1: people who didn't come to a hospital, they were found dead. 308 00:16:42,120 --> 00:16:45,760 Speaker 1: And it tells us that dying from the vaccine is 309 00:16:45,800 --> 00:16:49,880 Speaker 1: a real confirmed thing. Now it's rare. If you're super 310 00:16:49,960 --> 00:16:53,240 Speaker 1: high risk and you know you have not had COVID 311 00:16:53,280 --> 00:16:56,240 Speaker 1: in the past, it's worth it to get the vaccine 312 00:16:56,840 --> 00:16:59,240 Speaker 1: to lower that risk. But when you're talking about it 313 00:16:59,440 --> 00:17:03,680 Speaker 1: healthy fild or a twenty five year old athlete, that's 314 00:17:03,720 --> 00:17:07,840 Speaker 1: when the risk benefit ratio is really in question. Now, 315 00:17:07,880 --> 00:17:11,919 Speaker 1: public health officials say, don't look at these nuances, stop 316 00:17:12,000 --> 00:17:15,159 Speaker 1: asking questions. Just everybody get it. We have to have 317 00:17:15,200 --> 00:17:18,639 Speaker 1: a simple message in order for the dumb public to understand. 318 00:17:18,800 --> 00:17:22,439 Speaker 1: That's literally what they said, and I documented it when 319 00:17:22,480 --> 00:17:25,920 Speaker 1: a piece titled why America doesn't trust the CDC in Newsweek. 320 00:17:26,320 --> 00:17:30,360 Speaker 1: That's their philosophy. It's very paternalistic. But the real is there. 321 00:17:30,720 --> 00:17:32,760 Speaker 1: And is there anything, by the way, that makes you 322 00:17:32,800 --> 00:17:37,680 Speaker 1: think that the CDC is going to get better? Is 323 00:17:37,720 --> 00:17:40,159 Speaker 1: there any reason to believe that there'll be any effort 324 00:17:40,160 --> 00:17:43,280 Speaker 1: to actually improve things. I think it's going to get 325 00:17:43,320 --> 00:17:47,160 Speaker 1: worse because a lot of people in Washington are using 326 00:17:47,200 --> 00:17:50,280 Speaker 1: their only solution to every problem, and that is give 327 00:17:50,359 --> 00:17:54,439 Speaker 1: them more money build up the bureaucracy. For example, the 328 00:17:54,560 --> 00:17:58,440 Speaker 1: CDC has had a center for data forecasting, and then 329 00:17:58,440 --> 00:18:02,119 Speaker 1: they added a whole nother center for data forecasting, bringing 330 00:18:02,160 --> 00:18:06,240 Speaker 1: in some big name people. So now we have two 331 00:18:06,320 --> 00:18:11,480 Speaker 1: centers for data forecasting. They totally missed monkeypox, they totally 332 00:18:11,520 --> 00:18:14,919 Speaker 1: missed RSV and the flu that we're that are overrunning 333 00:18:14,960 --> 00:18:17,800 Speaker 1: hospitals right now. So what do we do make a 334 00:18:18,000 --> 00:18:20,960 Speaker 1: third center for data forecasting? I mean, this is the 335 00:18:21,000 --> 00:18:25,120 Speaker 1: absurdity of throwing money at the CDC, which by the way, 336 00:18:25,320 --> 00:18:27,760 Speaker 1: could not even come up with a COVID tracker. It 337 00:18:27,840 --> 00:18:31,280 Speaker 1: was one Johns Hopkins grad student who came up at 338 00:18:31,320 --> 00:18:35,080 Speaker 1: the Johns Hopkins tracker at our university that did more 339 00:18:35,240 --> 00:18:39,680 Speaker 1: work than twenty one thousand employees at the CDC. What 340 00:18:40,440 --> 00:18:43,280 Speaker 1: is the sense within the medical community in your mind 341 00:18:43,359 --> 00:18:47,800 Speaker 1: right now that there should be some real introspection about 342 00:18:47,880 --> 00:18:53,159 Speaker 1: group think, about policy failures, getting things so wrong so 343 00:18:53,240 --> 00:18:57,280 Speaker 1: many times over a two year long period, and you know, 344 00:18:57,480 --> 00:18:59,120 Speaker 1: what is it going to take for people to feel 345 00:18:59,160 --> 00:19:01,200 Speaker 1: like they can walk around and no longer be in 346 00:19:01,240 --> 00:19:03,600 Speaker 1: the grip. You know, some people walk around there's still 347 00:19:03,800 --> 00:19:06,520 Speaker 1: in the grip of fear with regard to COVID because 348 00:19:07,040 --> 00:19:10,200 Speaker 1: their doctors are telling them to still be scared. Well, 349 00:19:10,320 --> 00:19:14,120 Speaker 1: doctors themselves are scared. They're worried about their promotions, They're 350 00:19:14,119 --> 00:19:17,960 Speaker 1: worried about their NIH funding, They're worried about being seen 351 00:19:18,000 --> 00:19:21,480 Speaker 1: as a pariah. You know, a bunch of us don't care. 352 00:19:21,600 --> 00:19:23,760 Speaker 1: I don't care, well, I don't care if I get fired. 353 00:19:24,040 --> 00:19:26,920 Speaker 1: I believe in speaking truth. Life is short. I'm taking 354 00:19:26,920 --> 00:19:28,600 Speaker 1: care of enough people at the end of life to 355 00:19:28,680 --> 00:19:31,320 Speaker 1: know you got to speak your mind. But a lot 356 00:19:31,359 --> 00:19:34,160 Speaker 1: of doctors reach out to me and they say, gosh, 357 00:19:34,280 --> 00:19:37,680 Speaker 1: everything you're saying I agree with, But I can't say anything. 358 00:19:37,800 --> 00:19:41,520 Speaker 1: I'll get in trouble. My communications department will hound me, 359 00:19:41,720 --> 00:19:46,879 Speaker 1: my professional society will expel me. The California Department of 360 00:19:46,920 --> 00:19:52,200 Speaker 1: Health is taking away licenses if somebody disagrees with them. So, unfortunately, 361 00:19:52,240 --> 00:19:54,520 Speaker 1: I don't see how we're going to challenge the group 362 00:19:54,600 --> 00:19:59,440 Speaker 1: think unless more doctors just speak openly and honestly. Doctor McCarry, 363 00:19:59,480 --> 00:20:03,760 Speaker 1: working folk, read your work again. I post my pieces 364 00:20:03,760 --> 00:20:06,720 Speaker 1: on Twitter and the piece in Newsweek is titled why 365 00:20:06,800 --> 00:20:11,320 Speaker 1: America does not trust the CDC. Doctor McCarry, always appreciate 366 00:20:11,320 --> 00:20:16,720 Speaker 1: you being with us. Thanks so much, Thanks Buck. It 367 00:20:16,840 --> 00:20:20,280 Speaker 1: is really shocking that we're still in this place, that 368 00:20:20,400 --> 00:20:24,360 Speaker 1: we have to have these very basic conversations about COVID 369 00:20:24,440 --> 00:20:25,880 Speaker 1: and all the rest of it. But what we've said 370 00:20:26,080 --> 00:20:27,679 Speaker 1: one thing that that's very clear, what we've said all 371 00:20:27,680 --> 00:20:32,600 Speaker 1: along here about masking is so when you don't mask, 372 00:20:32,640 --> 00:20:35,200 Speaker 1: you get COVID. So even if you think masking works, 373 00:20:35,200 --> 00:20:37,159 Speaker 1: when you're masking, you're not going to mask forever. So 374 00:20:37,280 --> 00:20:40,560 Speaker 1: what really is the point? And cloth masks don't work 375 00:20:40,600 --> 00:20:43,080 Speaker 1: with the CDC is even admitted. You know they're gonna 376 00:20:43,080 --> 00:20:45,280 Speaker 1: be long lines this time here at the post office. 377 00:20:45,320 --> 00:20:47,600 Speaker 1: There's often a line at your local UPS store as well. 378 00:20:47,720 --> 00:20:50,680 Speaker 1: Packages are being shipped, and no one knows that better 379 00:20:50,680 --> 00:20:52,800 Speaker 1: than you, the operator of a retail business or an 380 00:20:52,840 --> 00:20:56,280 Speaker 1: online store. Take a different approach and set yourself up 381 00:20:56,320 --> 00:20:59,560 Speaker 1: with stamps dot com. This is the website that sets 382 00:20:59,600 --> 00:21:01,560 Speaker 1: you up with twenty four seven access to both the 383 00:21:01,600 --> 00:21:04,960 Speaker 1: post office and UPS systems in ten minutes time. Today, 384 00:21:05,000 --> 00:21:07,560 Speaker 1: you can set yourself up and be printing postage labels 385 00:21:07,680 --> 00:21:11,119 Speaker 1: or requesting ups service to pick up your packages. This 386 00:21:11,200 --> 00:21:13,679 Speaker 1: really is the definition of a stress free solution for 387 00:21:13,800 --> 00:21:16,879 Speaker 1: every small business. Use the stamps dot com website to 388 00:21:16,960 --> 00:21:19,560 Speaker 1: print postage wherever you do business. All you need is 389 00:21:19,560 --> 00:21:22,320 Speaker 1: a computer and a printer, and you've got that. When 390 00:21:22,359 --> 00:21:24,800 Speaker 1: you need a package pickup, you can easily schedule it 391 00:21:24,800 --> 00:21:26,800 Speaker 1: through your stamps dot com dashboard in less than a 392 00:21:26,840 --> 00:21:30,320 Speaker 1: minute's time. Shipping rates are constantly changing, stamps dot com 393 00:21:30,320 --> 00:21:32,840 Speaker 1: has a program called Switch and Safe. You can easily 394 00:21:32,880 --> 00:21:35,679 Speaker 1: compare carriers and rates so you know you're getting the 395 00:21:35,720 --> 00:21:38,560 Speaker 1: best deal every time. Save time, save money, and put 396 00:21:38,560 --> 00:21:40,840 Speaker 1: more of your focus on selling gifts this holiday season. 397 00:21:41,080 --> 00:21:43,639 Speaker 1: Get started with stamps dot com today. Sign up with 398 00:21:43,680 --> 00:21:46,480 Speaker 1: promo code Clay and Buck for a special offer that 399 00:21:46,560 --> 00:21:49,679 Speaker 1: includes a four week trial plus free postage and a 400 00:21:49,720 --> 00:21:53,159 Speaker 1: free digital scale. No long term commitments or contracts to 401 00:21:53,280 --> 00:21:56,520 Speaker 1: sign Just go to stamps dot com, click the microphone 402 00:21:56,560 --> 00:21:58,600 Speaker 1: at the top of the page and enter code Clay 403 00:21:58,760 --> 00:22:05,560 Speaker 1: and Buck. Second hour of Clay in buckets going right now, everybody, 404 00:22:05,560 --> 00:22:10,080 Speaker 1: Thanks for rolling with us here. I'm in solar today. 405 00:22:10,119 --> 00:22:14,680 Speaker 1: Clay out He's spending some time with family. Back in tomorrow. 406 00:22:15,680 --> 00:22:21,720 Speaker 1: Elon Musk fumes at San Francisco mayor after city opens 407 00:22:21,760 --> 00:22:27,719 Speaker 1: investigation into Twitter headquarters. That is the headline right now. 408 00:22:27,800 --> 00:22:31,800 Speaker 1: That is what I'm seeing here, and I've got to 409 00:22:31,840 --> 00:22:40,000 Speaker 1: tell you it is remarkable how thuggish the Democrats are 410 00:22:40,000 --> 00:22:44,199 Speaker 1: willing to be nice Twitter. You got there, Elon, be 411 00:22:44,280 --> 00:22:48,240 Speaker 1: ashame if something happened to it. The mayor of San 412 00:22:48,280 --> 00:22:52,920 Speaker 1: Francisco is overseeing well, I should say, the apparatus of 413 00:22:53,000 --> 00:22:58,080 Speaker 1: San Francisco is doing an investigation to look at whether 414 00:22:59,400 --> 00:23:05,960 Speaker 1: the companies headquarters. Twitter's headquarters in San Francisco has set 415 00:23:06,119 --> 00:23:13,280 Speaker 1: up some beds in offices for employees, and Elon Musk 416 00:23:13,440 --> 00:23:16,800 Speaker 1: has pointed out in a tweet. So city of San 417 00:23:16,840 --> 00:23:21,439 Speaker 1: Francisco attacks companies providing beds for tired employees instead of 418 00:23:21,480 --> 00:23:25,159 Speaker 1: making sure kids are safe from Fentonel, where are your priorities, 419 00:23:25,400 --> 00:23:29,000 Speaker 1: London Breed? He asks, Let's see this is actually what 420 00:23:29,040 --> 00:23:32,840 Speaker 1: the Democrat priorities are cleaning up the streets, making your 421 00:23:32,920 --> 00:23:37,480 Speaker 1: children safe, making you safe in San Francisco and New York. 422 00:23:37,560 --> 00:23:42,280 Speaker 1: And name a major city that is a secondary priority 423 00:23:42,400 --> 00:23:46,960 Speaker 1: to harassing Twitter and making sure that it does not 424 00:23:47,160 --> 00:23:51,359 Speaker 1: become the haven for free speech that Elon Musk is 425 00:23:51,400 --> 00:23:56,160 Speaker 1: slowly but surely turning it into That's something that as 426 00:23:56,160 --> 00:23:58,320 Speaker 1: we continue to watch this play out, they're just going 427 00:23:58,400 --> 00:24:02,200 Speaker 1: to find more and more ways to bring about more pressure. 428 00:24:03,040 --> 00:24:08,280 Speaker 1: For example, they've talked about the White House has brought 429 00:24:08,400 --> 00:24:12,480 Speaker 1: up that they're watching Twitter closely. Why is the White 430 00:24:12,520 --> 00:24:17,719 Speaker 1: House watching Twitter? In what world is the White House 431 00:24:18,800 --> 00:24:23,960 Speaker 1: actually thinking that it is in its purview to do 432 00:24:24,040 --> 00:24:29,480 Speaker 1: this right? Well, in the world of the most important 433 00:24:29,520 --> 00:24:34,640 Speaker 1: single thing is making sure that the left has dominance 434 00:24:34,640 --> 00:24:38,840 Speaker 1: of social media platforms, dominates the conversation online, and can 435 00:24:38,880 --> 00:24:43,560 Speaker 1: take action against anybody who stands athwart that right or 436 00:24:43,600 --> 00:24:46,640 Speaker 1: who doesn't go along with that. So Elon knows they're 437 00:24:46,680 --> 00:24:50,560 Speaker 1: doing an investigation. Now California labor law, everyone understands is 438 00:24:51,160 --> 00:24:55,840 Speaker 1: you've got a bunch of communist apparachics making sure that 439 00:24:55,960 --> 00:24:59,560 Speaker 1: it's as impossible as possible for anybody to run and 440 00:24:59,640 --> 00:25:02,560 Speaker 1: operate business in California, which is why it's hemorrhaging people 441 00:25:02,840 --> 00:25:05,760 Speaker 1: and going to continue to hemorrhage people because they've taken 442 00:25:05,840 --> 00:25:09,600 Speaker 1: what was a Republican stronghold, gave us, Ronald Reagan, everybody 443 00:25:10,160 --> 00:25:16,120 Speaker 1: a Republican stronghold until the nineties and in the richest 444 00:25:16,200 --> 00:25:19,520 Speaker 1: and most populous US state, and they're just ruining it. 445 00:25:19,560 --> 00:25:24,520 Speaker 1: They're ruining the place. Elon Musk should move Twitter's headquarters 446 00:25:24,840 --> 00:25:31,760 Speaker 1: asap from San Francisco. That much of it is clear, Okay, 447 00:25:31,840 --> 00:25:39,159 Speaker 1: Elon Musk should move it. And I think I mean Texas, Florida, Tennessee, 448 00:25:39,400 --> 00:25:43,360 Speaker 1: bunch of states that he should consider moving the headquarters. 449 00:25:43,440 --> 00:25:46,200 Speaker 1: And he's already cut the staff size by eighty five percent, 450 00:25:46,880 --> 00:25:50,240 Speaker 1: so that's certainly a move in the right direction. And 451 00:25:50,320 --> 00:25:54,680 Speaker 1: it still functions really well. Isn't that amazing? Eighty five 452 00:25:54,840 --> 00:25:56,960 Speaker 1: If you told me that you just fired eighty five 453 00:25:57,000 --> 00:26:00,160 Speaker 1: percent of employees of McDonald's, for example, I'd say, well, 454 00:26:00,280 --> 00:26:02,560 Speaker 1: you're probably gonna have a lot of problems, right, you 455 00:26:02,680 --> 00:26:06,680 Speaker 1: fire eighty five percent of employees at Disney, You're gonna 456 00:26:06,760 --> 00:26:08,520 Speaker 1: that's probably not gonna work. I mean, you could get 457 00:26:08,640 --> 00:26:11,399 Speaker 1: rid of some, I'm sure, but that's not that's a lot. Twitter. 458 00:26:11,480 --> 00:26:14,600 Speaker 1: It's no big deal because what it had become was 459 00:26:14,640 --> 00:26:20,600 Speaker 1: effectively a place of sinecure, a place of privileged perch 460 00:26:21,400 --> 00:26:28,439 Speaker 1: for elite libs to engage in woke politics and to 461 00:26:28,440 --> 00:26:31,600 Speaker 1: suppress people that in any way disagreed with them and 462 00:26:31,680 --> 00:26:33,400 Speaker 1: to take all the actions which brings me of course 463 00:26:33,440 --> 00:26:36,359 Speaker 1: Elon Musk firing as well, a lot of Elon stuff 464 00:26:36,400 --> 00:26:41,399 Speaker 1: going on. Elon Musk firing. James Baker. No, not that 465 00:26:41,600 --> 00:26:44,080 Speaker 1: James Baker. People have had to you know, that's a 466 00:26:44,080 --> 00:26:46,879 Speaker 1: different James Baker, the James Baker who was the senior 467 00:26:46,920 --> 00:26:51,520 Speaker 1: counsel at the FBI and became deputy counsel of Twitter. 468 00:26:52,080 --> 00:26:55,880 Speaker 1: It came out that this same individual who while at 469 00:26:55,880 --> 00:27:01,040 Speaker 1: the FBI was overseeing aspects of the Russia collusion hoax. 470 00:27:01,119 --> 00:27:06,119 Speaker 1: It was a massive hoax. It was used in the 471 00:27:06,160 --> 00:27:12,800 Speaker 1: worst possible, worst possible faith, worst possible violation of public 472 00:27:12,800 --> 00:27:16,120 Speaker 1: trust as a weapon against the Trump administration by deep 473 00:27:16,119 --> 00:27:19,400 Speaker 1: state elements. This is all fact. People, are you talking 474 00:27:19,400 --> 00:27:23,840 Speaker 1: with the deep state? Because I know because I worked 475 00:27:23,840 --> 00:27:27,000 Speaker 1: in the CIA, I know the kind of people that 476 00:27:27,160 --> 00:27:31,280 Speaker 1: rise in these institutions and how they become very cozy 477 00:27:31,359 --> 00:27:35,600 Speaker 1: with those in power in the political and elected branches 478 00:27:35,760 --> 00:27:41,359 Speaker 1: of government or parts of government. And I understand that 479 00:27:41,400 --> 00:27:46,119 Speaker 1: they view the usage of the bureaucracy as a tool 480 00:27:46,240 --> 00:27:49,719 Speaker 1: of left wing dominance as something that they absolutely should do. 481 00:27:50,760 --> 00:27:53,800 Speaker 1: Absolutely they think that they're saving the country, which which 482 00:27:53,840 --> 00:27:56,120 Speaker 1: brings me to not only do you have Elon Musk 483 00:27:56,200 --> 00:28:01,359 Speaker 1: firing Baker now who was looking over the Twitter files. 484 00:28:01,400 --> 00:28:04,200 Speaker 1: Apparently it's very strange he was looking over the Twitter 485 00:28:04,240 --> 00:28:08,640 Speaker 1: files before they were released last week. The story that 486 00:28:08,760 --> 00:28:17,240 Speaker 1: the Democrat aligned MSM still refuses, absolutely refuses to spend 487 00:28:17,720 --> 00:28:21,679 Speaker 1: any time on right. But that story, as we know, 488 00:28:21,800 --> 00:28:24,399 Speaker 1: is going to continue on. I believe Jack Dorsey, the 489 00:28:24,440 --> 00:28:28,120 Speaker 1: former CEO of Twitter, has already said he wants Elon 490 00:28:28,200 --> 00:28:33,560 Speaker 1: Musk to release all of the files, right. He wants 491 00:28:33,560 --> 00:28:37,320 Speaker 1: Elon Musk to just put her all out there, and 492 00:28:37,359 --> 00:28:39,520 Speaker 1: I think that that would be great. I do think 493 00:28:39,560 --> 00:28:41,120 Speaker 1: that there's going to need to be at least some 494 00:28:41,720 --> 00:28:44,920 Speaker 1: sifting through that occurs, right, because heaven knows how much 495 00:28:44,960 --> 00:28:48,000 Speaker 1: in the way of communications and things of that nature 496 00:28:48,000 --> 00:28:49,960 Speaker 1: I've been going on at Twitter that you could see 497 00:28:50,000 --> 00:28:53,239 Speaker 1: that are completely irrelevant. But he fired this guy, and 498 00:28:53,320 --> 00:28:55,360 Speaker 1: he's continuing to do what he said he would do 499 00:28:55,400 --> 00:29:00,320 Speaker 1: all along. Elon Musk is draining the swamp of Twitter 500 00:29:01,200 --> 00:29:04,520 Speaker 1: and it's a great thing to see. And the people 501 00:29:04,640 --> 00:29:10,760 Speaker 1: that went along with the Hunter Biden laptop suppression, keep 502 00:29:10,800 --> 00:29:12,520 Speaker 1: in mind, there was that what fifty one I think 503 00:29:12,600 --> 00:29:14,400 Speaker 1: is always the I forget the number the fifty one 504 00:29:14,440 --> 00:29:19,040 Speaker 1: former intelligence professionals. Now that we know Twitter knew there 505 00:29:19,080 --> 00:29:21,880 Speaker 1: was no real justification for it whatsoever. They made one up. 506 00:29:23,720 --> 00:29:27,440 Speaker 1: Twitter had been told by the FBI in advance that 507 00:29:27,440 --> 00:29:31,360 Speaker 1: there was some kind of Russian disinformation coming. The FBI, 508 00:29:31,800 --> 00:29:37,760 Speaker 1: after involving itself so egregiously in the twenty sixteen election, 509 00:29:38,520 --> 00:29:40,880 Speaker 1: took the lesson that they need to involve themselves again 510 00:29:40,920 --> 00:29:43,280 Speaker 1: in twenty twenty. They just need to make sure there's 511 00:29:43,320 --> 00:29:47,880 Speaker 1: a different outcome. That is what happened right twenty sixteen. 512 00:29:47,960 --> 00:29:50,120 Speaker 1: They got in there, James call me, Oh, nobody would 513 00:29:50,120 --> 00:29:52,800 Speaker 1: bring charges against Hillary. You're not You're not the attorney general. 514 00:29:53,280 --> 00:29:57,080 Speaker 1: What's the FBI director doing giving that speech? No person 515 00:29:57,560 --> 00:30:01,160 Speaker 1: can justify that, No rationalization for that. What's however, could 516 00:30:01,160 --> 00:30:04,600 Speaker 1: you have other than a partisan one. But after the 517 00:30:04,680 --> 00:30:08,440 Speaker 1: total debacle of twenty sixteen, the FBI, the fies A 518 00:30:08,520 --> 00:30:12,800 Speaker 1: warrants against Carter Page and the spying on Papadopolis and 519 00:30:12,880 --> 00:30:17,000 Speaker 1: all this craziness, the fabrication of evidence used in one 520 00:30:17,040 --> 00:30:20,280 Speaker 1: of those phies A warrants, all the things that were 521 00:30:20,320 --> 00:30:23,640 Speaker 1: done in that get Trump operation of Russia collusion, the 522 00:30:23,680 --> 00:30:26,040 Speaker 1: FBI comes along in twenty twenty, and what do they 523 00:30:26,040 --> 00:30:29,800 Speaker 1: do Try to find a way to get even more 524 00:30:29,920 --> 00:30:33,560 Speaker 1: involved and this time make sure that they're actually going 525 00:30:33,640 --> 00:30:36,880 Speaker 1: to have a Democrat as president. I don't know how 526 00:30:36,880 --> 00:30:39,920 Speaker 1: else you can think the Hunter Biden laptop suppression story 527 00:30:40,080 --> 00:30:43,920 Speaker 1: plays than there are people for whom Remember there's a 528 00:30:43,920 --> 00:30:48,640 Speaker 1: lot going on here with the ways that this benefits 529 00:30:48,680 --> 00:30:54,240 Speaker 1: individuals who engage in these in these soft coups. If 530 00:30:54,280 --> 00:30:57,320 Speaker 1: you will notice that this guy Baker goes from being 531 00:30:57,320 --> 00:31:01,040 Speaker 1: at the FBI as a senior lawyer there to going 532 00:31:01,080 --> 00:31:07,440 Speaker 1: to Twitter. Vijaya Gatti was making about ten million dollars 533 00:31:07,440 --> 00:31:12,360 Speaker 1: a year as a senior lawyer at Twitter. So trust me, 534 00:31:12,440 --> 00:31:14,640 Speaker 1: this guy Baker was making a whole heck of a 535 00:31:14,680 --> 00:31:17,880 Speaker 1: lot of money. And it's really just all the giant 536 00:31:17,920 --> 00:31:20,760 Speaker 1: self looking ice cream cone of the apparatus. That's what 537 00:31:20,880 --> 00:31:24,480 Speaker 1: you see. You do what you can inside of government 538 00:31:24,520 --> 00:31:28,800 Speaker 1: to make sure that your side, team Democrat, wins, even 539 00:31:28,840 --> 00:31:30,800 Speaker 1: to the point where people know about what you do, 540 00:31:31,000 --> 00:31:32,720 Speaker 1: know that you had your hand on the scale for 541 00:31:32,800 --> 00:31:34,720 Speaker 1: one side or the other. Then you come out and 542 00:31:34,760 --> 00:31:37,680 Speaker 1: you get a great, great job in the private sector, 543 00:31:38,400 --> 00:31:41,200 Speaker 1: making millions of dollars, you know, maybe a book deal. 544 00:31:42,080 --> 00:31:43,920 Speaker 1: Look at all the people. I remember when I was 545 00:31:43,960 --> 00:31:47,120 Speaker 1: in the CIA, I remember as soon as as soon 546 00:31:47,120 --> 00:31:48,600 Speaker 1: as I left, people were telling me, oh, you know, 547 00:31:48,640 --> 00:31:51,640 Speaker 1: we don't we don't talk about anything that we did 548 00:31:51,640 --> 00:31:53,520 Speaker 1: in the agency. And you know, people don't really go 549 00:31:53,520 --> 00:31:55,800 Speaker 1: on TV. And I was going on TV to talk 550 00:31:55,840 --> 00:31:57,720 Speaker 1: about what was in the news. I wasn't saying, oh, well, 551 00:31:57,720 --> 00:31:59,360 Speaker 1: this is what I did in the CIA, and I 552 00:31:59,400 --> 00:32:03,840 Speaker 1: was an analyst writing memos mostly. But you see the 553 00:32:03,880 --> 00:32:08,640 Speaker 1: CIA directors, I think there were five of them, former directors, 554 00:32:08,680 --> 00:32:11,520 Speaker 1: including acting directors, who signed their names to that Hunter 555 00:32:11,600 --> 00:32:17,280 Speaker 1: Biden laptop Russian disinformation lie. None of them are embarrassed, 556 00:32:17,960 --> 00:32:22,120 Speaker 1: none of them have faced any adverse professional consequences as 557 00:32:22,120 --> 00:32:26,000 Speaker 1: a result of it, because they served their purpose. That 558 00:32:26,120 --> 00:32:30,160 Speaker 1: was their mission. The mission was to lie to as 559 00:32:30,200 --> 00:32:34,080 Speaker 1: many people as possible right before an election to make 560 00:32:34,080 --> 00:32:37,160 Speaker 1: sure that Joe Biden would win that election. That was it. 561 00:32:38,360 --> 00:32:40,479 Speaker 1: So it's not people would say to me, oh, they 562 00:32:40,560 --> 00:32:43,760 Speaker 1: must be so embarrassed, they must hang their heads in shame. No, 563 00:32:44,840 --> 00:32:49,440 Speaker 1: they're picking out yachts, my friends. They don't care because 564 00:32:49,480 --> 00:32:52,320 Speaker 1: their job wasn't to tell you the truth. The job 565 00:32:52,400 --> 00:32:56,200 Speaker 1: was to leverage their former roles in the government and 566 00:32:56,240 --> 00:33:00,200 Speaker 1: to burn whatever credibility, whatever cravy toss they have in 567 00:33:00,320 --> 00:33:03,720 Speaker 1: service of the Democrat Party. And some of the people 568 00:33:03,720 --> 00:33:08,760 Speaker 1: who did that have gone on to get even bigger, 569 00:33:08,800 --> 00:33:12,400 Speaker 1: better jobs in the media, more influential, certainly a whole 570 00:33:12,400 --> 00:33:14,280 Speaker 1: heck of a lot more money they made in the government. 571 00:33:15,240 --> 00:33:19,400 Speaker 1: And the elimination now of this guy James Baker from 572 00:33:19,440 --> 00:33:22,960 Speaker 1: Twitter is indicative of there's going to have to be 573 00:33:23,000 --> 00:33:26,440 Speaker 1: a whole lot more cleanup that occurs. This has only 574 00:33:26,480 --> 00:33:29,840 Speaker 1: at one of these social media platforms. Imagine if we 575 00:33:30,000 --> 00:33:34,400 Speaker 1: got unfettered access to the internal communications at Facebook at 576 00:33:34,440 --> 00:33:38,000 Speaker 1: Google before an election, you would see things that would 577 00:33:38,040 --> 00:33:41,640 Speaker 1: just make you realize we're operating in a world of 578 00:33:41,720 --> 00:33:45,320 Speaker 1: fun house mirrors. It's not funny. We're operating in a 579 00:33:45,360 --> 00:33:50,880 Speaker 1: world where propaganda has become twenty four to seven constantly accessible, 580 00:33:51,080 --> 00:33:54,840 Speaker 1: much more advanced than anything anything that could have even 581 00:33:54,880 --> 00:34:00,320 Speaker 1: been considered before, let's say in the Soviet era. What 582 00:34:00,440 --> 00:34:03,719 Speaker 1: goes on with Twitter and the way they set up, 583 00:34:03,720 --> 00:34:06,600 Speaker 1: for example, the Trust in Safety Commission. You say, it's 584 00:34:06,640 --> 00:34:09,560 Speaker 1: as though they read nineteen eighty four and they didn't 585 00:34:09,560 --> 00:34:13,719 Speaker 1: see Orwell's nineteen eighty four as a warning. It was 586 00:34:13,800 --> 00:34:16,080 Speaker 1: a how to guide a lesson. Oh, let's call it 587 00:34:16,080 --> 00:34:18,839 Speaker 1: the trust in Safety Committee, and then let's have it 588 00:34:18,880 --> 00:34:21,840 Speaker 1: put its thumb down on the scale for one side 589 00:34:21,880 --> 00:34:25,799 Speaker 1: over the other. Let's help the Democrat left, which, as 590 00:34:25,800 --> 00:34:30,040 Speaker 1: we know from COVID without question, is the authoritarian ideology 591 00:34:30,120 --> 00:34:34,080 Speaker 1: in America today. And let's do what we can to 592 00:34:34,160 --> 00:34:37,000 Speaker 1: help them by lying to people about as much as 593 00:34:37,040 --> 00:34:40,439 Speaker 1: we possibly can. And that's true on COVID, that's true 594 00:34:40,440 --> 00:34:42,880 Speaker 1: on a range of issues, certainly true one hundred Biden laptop. 595 00:34:43,360 --> 00:34:46,640 Speaker 1: Let's think about this. We're still here and people are 596 00:34:46,680 --> 00:34:48,480 Speaker 1: trying to tell you that it's not a big deal. 597 00:34:49,239 --> 00:34:52,600 Speaker 1: Oh okay, let's just take a step back. Same media 598 00:34:52,640 --> 00:35:00,239 Speaker 1: apparatus that thought unveiling the Billie Bush Trump tape about 599 00:35:00,280 --> 00:35:04,080 Speaker 1: you know, grabbing the ladies, that was going to cost 600 00:35:04,120 --> 00:35:10,239 Speaker 1: Trump the presidency. That was the most classic October surprise possible, 601 00:35:11,080 --> 00:35:13,400 Speaker 1: that when all the way deep in the archives of 602 00:35:13,560 --> 00:35:18,360 Speaker 1: NBC they were holding it, it was held for maximum impact. 603 00:35:18,880 --> 00:35:21,080 Speaker 1: Of course, we know didn't do anything. Trump ended up winning. 604 00:35:22,000 --> 00:35:24,719 Speaker 1: They thought, though, that that would cost Trump the presidency 605 00:35:24,760 --> 00:35:26,839 Speaker 1: and actually should have forced him to Some were saying 606 00:35:26,840 --> 00:35:29,520 Speaker 1: he should have dropped out right, Oh, you should drop out. 607 00:35:29,600 --> 00:35:33,520 Speaker 1: Maybe Michael Avinati can be president. Not from his prison cell. 608 00:35:35,280 --> 00:35:37,759 Speaker 1: They thought that would happen. A laptop that shows that 609 00:35:37,880 --> 00:35:41,880 Speaker 1: Hunter Biden is selling access to Joe Biden in a corrupt, 610 00:35:42,840 --> 00:35:48,040 Speaker 1: influenced peddling scheme. Not He wasn't selling access to Finland, folks. 611 00:35:48,640 --> 00:35:52,759 Speaker 1: I think this is important too. He wasn't selling access, 612 00:35:52,880 --> 00:35:56,080 Speaker 1: or at least the perception of access to Joe Biden 613 00:35:56,920 --> 00:36:00,960 Speaker 1: to Portugal. He was selling it to China and to 614 00:36:01,080 --> 00:36:04,480 Speaker 1: oligarchs in Ukraine. That's where the money was coming from. 615 00:36:05,239 --> 00:36:07,160 Speaker 1: And that's what they didn't want people to think about 616 00:36:07,360 --> 00:36:10,399 Speaker 1: and to figure out right before the election, because, as 617 00:36:10,440 --> 00:36:12,440 Speaker 1: we know, you don't have to change a lot of minds. 618 00:36:12,560 --> 00:36:15,080 Speaker 1: You only have to know. You swing one hundred thousand 619 00:36:15,160 --> 00:36:19,040 Speaker 1: people on one of these stories, and you swing the election. 620 00:36:19,840 --> 00:36:22,920 Speaker 1: And Ela knows that, which is why he is finally 621 00:36:22,960 --> 00:36:25,680 Speaker 1: getting us to a place of some transparency, some truth 622 00:36:25,800 --> 00:36:29,640 Speaker 1: in all of this. You can imagine the Christmas morning scene, 623 00:36:29,760 --> 00:36:32,200 Speaker 1: kids bounding down the stairs to see if Santa Claus 624 00:36:32,239 --> 00:36:35,200 Speaker 1: has visited, full of excitement. There's Dad recording it all 625 00:36:35,200 --> 00:36:37,520 Speaker 1: with a camcorder capturing every moment. It's just one of 626 00:36:37,560 --> 00:36:40,880 Speaker 1: a hundred special moments recorded with that videocam. All of 627 00:36:40,880 --> 00:36:43,440 Speaker 1: those memories are still on videotapes, but there's no longer 628 00:36:43,480 --> 00:36:47,040 Speaker 1: a VCR player to relive them. That's where Legacy Box helps. 629 00:36:47,320 --> 00:36:51,200 Speaker 1: This Tennessee based company digitally transfers everything into a format 630 00:36:51,239 --> 00:36:54,239 Speaker 1: you can easily access and watch again, over and over. 631 00:36:54,680 --> 00:36:56,920 Speaker 1: They do it by hand so that the old videotape, 632 00:36:56,920 --> 00:36:59,200 Speaker 1: super rate films, and whatever you send a Legacy box 633 00:36:59,239 --> 00:37:02,359 Speaker 1: are carefully handled. And they've done this for more than 634 00:37:02,440 --> 00:37:05,640 Speaker 1: a million families already. Their service also makes a great 635 00:37:05,719 --> 00:37:07,879 Speaker 1: Christmas gift. It's not just a box under the tree, 636 00:37:07,960 --> 00:37:10,560 Speaker 1: it's a legacy box. Once you fill it full of 637 00:37:10,680 --> 00:37:13,200 Speaker 1: old media, it takes all of three weeks to get 638 00:37:13,200 --> 00:37:15,640 Speaker 1: it back along with the digital files, and the results 639 00:37:15,840 --> 00:37:19,759 Speaker 1: are priceless. Visit Legacy box dot com slash box to 640 00:37:19,800 --> 00:37:23,040 Speaker 1: take advantage of a great discount. Again, that's Legacy Box 641 00:37:23,160 --> 00:37:26,400 Speaker 1: dot com slash buck for this sizeable discount over the 642 00:37:26,480 --> 00:37:33,560 Speaker 1: regular prices. Legacy Box dot com slash Bucci. The Sumbus 643 00:37:35,440 --> 00:37:42,719 Speaker 1: nineteen forty one, a date which will live in infamy. 644 00:37:44,680 --> 00:37:51,319 Speaker 1: United States of America was suddenly and deliberately attacked by 645 00:37:51,440 --> 00:37:58,560 Speaker 1: naval Alaya courses of the Empire of Japan. So that 646 00:37:58,719 --> 00:38:06,040 Speaker 1: was FDR as today is Pearl Harbor Remembrance Day, eighty 647 00:38:06,080 --> 00:38:11,360 Speaker 1: one years ago, the attack on Pearl Harbor happened, was 648 00:38:11,400 --> 00:38:17,400 Speaker 1: conducted against this nation and brought about an unprecedented scale 649 00:38:17,400 --> 00:38:22,959 Speaker 1: of military mobilization here at home. My own grandfather on 650 00:38:23,000 --> 00:38:28,359 Speaker 1: my maternal side served on the USS Batan and which 651 00:38:28,400 --> 00:38:31,600 Speaker 1: was an aircraft carrier in the early days of aircraft carriers. 652 00:38:32,480 --> 00:38:37,120 Speaker 1: And he didn't talk about life in the Pacific Theater 653 00:38:37,360 --> 00:38:41,279 Speaker 1: very often at all. Occasionally he would relay stories he 654 00:38:41,320 --> 00:38:43,640 Speaker 1: went on. He was involved in construction and real estate 655 00:38:43,719 --> 00:38:45,759 Speaker 1: later on in life, and actually did a lot of 656 00:38:45,880 --> 00:38:49,920 Speaker 1: charity work. There's a foundation name for him, the Lawrence F. 657 00:38:50,040 --> 00:38:55,920 Speaker 1: Hickey Foundation, that helps underprivileged children, and so he did 658 00:38:55,960 --> 00:38:59,359 Speaker 1: a lot of that. He didn't speak very often about 659 00:38:59,400 --> 00:39:02,640 Speaker 1: his time the Pacific Theater, but toward the very end, 660 00:39:02,840 --> 00:39:07,440 Speaker 1: and I remember I came back from Afghanistan in my 661 00:39:07,520 --> 00:39:11,000 Speaker 1: capacity as a as a CIA four deployed CIA analyst, 662 00:39:11,719 --> 00:39:13,840 Speaker 1: and I had gotten a There are a lot of 663 00:39:13,840 --> 00:39:18,120 Speaker 1: things you'd bring back, carpets that was very obviously very common. 664 00:39:18,160 --> 00:39:21,600 Speaker 1: I brought back some other souvenirs, uh, you know, these 665 00:39:22,120 --> 00:39:25,080 Speaker 1: curved tribal knives, things like that, but I brought him 666 00:39:25,120 --> 00:39:27,719 Speaker 1: a blanket. So I just remember sitting and listening to 667 00:39:27,840 --> 00:39:30,760 Speaker 1: him and this was his last his last years before 668 00:39:30,760 --> 00:39:34,400 Speaker 1: he passed, and he would have this blanket across his knees, 669 00:39:34,640 --> 00:39:38,200 Speaker 1: which I had gotten for him in Afghanistan, and occasionally, 670 00:39:38,239 --> 00:39:42,040 Speaker 1: out of nowhere, he would just start to say, you know, 671 00:39:42,160 --> 00:39:48,520 Speaker 1: the the kamikaze's just kept coming, and I didn't sleep 672 00:39:48,560 --> 00:39:52,799 Speaker 1: for a week. And I think he was at I 673 00:39:52,840 --> 00:39:55,520 Speaker 1: think his aircraft carrier, I have to come back and check, 674 00:39:55,600 --> 00:40:00,040 Speaker 1: was at Late Gulf. I think it was at I 675 00:40:00,960 --> 00:40:03,200 Speaker 1: think I can't remember off the top of my head, 676 00:40:03,239 --> 00:40:05,520 Speaker 1: but he was in some there were some major engagements 677 00:40:05,520 --> 00:40:07,759 Speaker 1: that carry was involved in, and his carrier was I know, 678 00:40:07,880 --> 00:40:11,719 Speaker 1: hit by kamikaze's a few times, a couple of times, 679 00:40:11,760 --> 00:40:15,280 Speaker 1: I think at least, and he would talk about it. 680 00:40:15,280 --> 00:40:19,200 Speaker 1: It's just it's something where today you think about how 681 00:40:19,200 --> 00:40:23,759 Speaker 1: would we react as a country to something like that 682 00:40:25,239 --> 00:40:27,239 Speaker 1: if that were to occur right now, I mean you 683 00:40:27,239 --> 00:40:29,480 Speaker 1: could say, well nine to eleven, that's the closest thing 684 00:40:29,480 --> 00:40:33,279 Speaker 1: we'd had to it. But nine to eleven was the 685 00:40:33,320 --> 00:40:34,960 Speaker 1: nine eleven We had a lot of people that joined 686 00:40:35,040 --> 00:40:37,640 Speaker 1: up to serve after that. We had our volunteer military 687 00:40:38,239 --> 00:40:42,759 Speaker 1: in place when nine eleven happened, we didn't have a draft, right, 688 00:40:42,880 --> 00:40:45,600 Speaker 1: we had a volunteer military, the finest fighting for us 689 00:40:45,640 --> 00:40:48,759 Speaker 1: in the history of the world, that was called to 690 00:40:49,000 --> 00:40:52,200 Speaker 1: arms after nine to eleven. And I do wonder today 691 00:40:52,680 --> 00:40:55,080 Speaker 1: if you did have a situation where there was a 692 00:40:55,120 --> 00:40:57,960 Speaker 1: general call up, how would that how would that go? 693 00:40:58,760 --> 00:41:02,960 Speaker 1: What would that look like? We know that the media, 694 00:41:03,000 --> 00:41:08,200 Speaker 1: for example, spends a lot of time comparing the riot 695 00:41:08,719 --> 00:41:12,719 Speaker 1: on January six, where there were people taking selfies and 696 00:41:12,920 --> 00:41:17,320 Speaker 1: some of them being escorted in cordial and polite fashion 697 00:41:17,400 --> 00:41:19,640 Speaker 1: by members of Capitol Hill Police. Some of them, some 698 00:41:19,680 --> 00:41:22,759 Speaker 1: of them obviously we're breaking things and being violent, but 699 00:41:22,920 --> 00:41:26,960 Speaker 1: others were just almost doing a self guided tour of 700 00:41:27,000 --> 00:41:32,560 Speaker 1: the Capitol trespassing, yes, But they compare that to Pearl Harbor. 701 00:41:33,360 --> 00:41:35,279 Speaker 1: In the media, they'll say it was like and actually 702 00:41:35,320 --> 00:41:39,480 Speaker 1: they'll say it's worse than Pearl Harbor. There is really 703 00:41:39,560 --> 00:41:45,000 Speaker 1: a psychosis and a disconnect from reality that comes up 704 00:41:45,440 --> 00:41:47,880 Speaker 1: now from the left, from the Democrats, in this country, 705 00:41:48,320 --> 00:41:51,120 Speaker 1: and I just don't think they're ready. I don't think 706 00:41:51,160 --> 00:41:54,080 Speaker 1: that they can psychologically handle. If we were ever to 707 00:41:54,120 --> 00:41:57,720 Speaker 1: get into a big fight again, I think the blame 708 00:41:57,719 --> 00:42:00,239 Speaker 1: America first chorus would be very loud from the left. 709 00:42:00,280 --> 00:42:02,120 Speaker 1: I think we would run into a whole lot of problems. 710 00:42:02,560 --> 00:42:05,240 Speaker 1: And I'll leave you with this. This is from Donald 711 00:42:05,280 --> 00:42:10,520 Speaker 1: Stratton's book All the Gallant Men he wrote, which is 712 00:42:10,560 --> 00:42:14,239 Speaker 1: about his service in World War Two. We were ordinary men. 713 00:42:14,360 --> 00:42:16,960 Speaker 1: What was extraordinary was the country we loved. We loved 714 00:42:17,000 --> 00:42:19,839 Speaker 1: who she was, what she stood for. We loved her 715 00:42:19,840 --> 00:42:21,520 Speaker 1: for what she meant to us and for what she 716 00:42:21,600 --> 00:42:25,799 Speaker 1: had given to us, even in those meager times he 717 00:42:25,920 --> 00:42:31,880 Speaker 1: served on the USS Arizona. So, my friends, it's a 718 00:42:32,840 --> 00:42:36,080 Speaker 1: time of actual remembrance today, and it's worth taking the 719 00:42:36,160 --> 00:42:38,879 Speaker 1: moment to reflect on it when we come back. As 720 00:42:38,920 --> 00:42:46,040 Speaker 1: you may have heard, Donald Trump still getting another legal 721 00:42:46,280 --> 00:42:49,640 Speaker 1: fusillade from the lunatic left. They're coming at him on 722 00:42:49,640 --> 00:42:55,879 Speaker 1: this Trump organization thing. Found the organization guilty. Will make 723 00:42:55,960 --> 00:42:58,400 Speaker 1: sense of this, and we'll also look back at the 724 00:42:58,440 --> 00:43:01,319 Speaker 1: election results from last night. George or Hersha Walker and 725 00:43:02,480 --> 00:43:05,480 Speaker 1: doctor Marty McCarry will be with us for this new 726 00:43:05,520 --> 00:43:10,080 Speaker 1: study on masks. Do they work? No, they do not, 727 00:43:10,400 --> 00:43:12,840 Speaker 1: But we'll discuss the details of it all coming up 728 00:43:12,840 --> 00:43:13,920 Speaker 1: in the third hour stick around