1 00:00:00,160 --> 00:00:02,960 Speaker 1: Welcome back in our number two Clay Travis buck Sexton 2 00:00:03,120 --> 00:00:05,960 Speaker 1: Show two days until Thanksgiving. If you find yourself traveling 3 00:00:05,960 --> 00:00:09,360 Speaker 1: across the country around the world, hope you're safe and 4 00:00:09,440 --> 00:00:11,920 Speaker 1: we appreciate you listening. We are thankful for all of you. 5 00:00:12,000 --> 00:00:14,960 Speaker 1: We're joined now by former Vice President Mike Pence, who's 6 00:00:15,000 --> 00:00:19,520 Speaker 1: got a new book out that is being well received. 7 00:00:19,560 --> 00:00:22,239 Speaker 1: And as we start with you, mister Vice President, I 8 00:00:22,239 --> 00:00:25,680 Speaker 1: appreciate you giving us the time we've been talking. Faucci, 9 00:00:25,800 --> 00:00:28,920 Speaker 1: just thanks for having me on. Yeah, no doubt. The 10 00:00:28,920 --> 00:00:32,120 Speaker 1: book is so help me God. Released earlier this month. 11 00:00:32,840 --> 00:00:36,760 Speaker 1: Faucci just had his final press conference as he is 12 00:00:36,800 --> 00:00:39,159 Speaker 1: in the process of retiring. I'm sure you knew that 13 00:00:39,159 --> 00:00:41,680 Speaker 1: that was going on. We were just talking about it. 14 00:00:43,040 --> 00:00:48,160 Speaker 1: Everything in twenty in hindsight is often twenty twenty in retrospect. 15 00:00:48,920 --> 00:00:52,200 Speaker 1: What could you and the Trump White House have done 16 00:00:52,280 --> 00:00:56,960 Speaker 1: better to not allow doctor Fauci to what I think 17 00:00:57,080 --> 00:01:00,560 Speaker 1: is quite frankly, drive us right off the cliff of sanity. 18 00:01:00,600 --> 00:01:03,440 Speaker 1: In terms of how we should respond to COVID, he 19 00:01:03,560 --> 00:01:06,080 Speaker 1: said that people should still feel very proud if they're 20 00:01:06,120 --> 00:01:08,880 Speaker 1: wearing masks. He said that as you get ready together 21 00:01:08,959 --> 00:01:12,119 Speaker 1: with Thanksgiving family that continuing to get COVID tests could 22 00:01:12,120 --> 00:01:14,240 Speaker 1: make sense. Those are just some of the things he said, 23 00:01:14,280 --> 00:01:16,400 Speaker 1: not years ago, but just a few minutes ago at 24 00:01:16,400 --> 00:01:18,920 Speaker 1: the White House. Do you any regrets? Do you have 25 00:01:18,920 --> 00:01:22,280 Speaker 1: anything that you would change about doctor Fauci in particular 26 00:01:22,440 --> 00:01:26,600 Speaker 1: and COVID. Well, first, just let me say what what 27 00:01:26,640 --> 00:01:29,280 Speaker 1: a what a privilege it is to be on with 28 00:01:29,520 --> 00:01:31,360 Speaker 1: with both of you, A great fan of the show, 29 00:01:31,800 --> 00:01:35,000 Speaker 1: Thank you, and uh and and was hountered to have 30 00:01:35,080 --> 00:01:38,360 Speaker 1: the opportunity to write my autobiography, So help me God. 31 00:01:38,480 --> 00:01:40,920 Speaker 1: That came out about a week ago. It's a story 32 00:01:40,959 --> 00:01:44,760 Speaker 1: of growing up here Indiana. It's a story of of 33 00:01:44,760 --> 00:01:47,480 Speaker 1: of you know, being raised by a combat veteran and 34 00:01:47,520 --> 00:01:51,080 Speaker 1: a first generation Irish American, starting out as a Democrat, 35 00:01:51,160 --> 00:01:57,080 Speaker 1: joining the Republican Revolution, and then through decisions that I made, 36 00:01:57,120 --> 00:01:59,880 Speaker 1: beginning with the decision to put my faith in Jesus Christ, 37 00:02:00,080 --> 00:02:02,680 Speaker 1: the decision of marycare and Pence, we were able to 38 00:02:02,680 --> 00:02:06,480 Speaker 1: serve and advance the Conservative agenda and the Congress and 39 00:02:07,240 --> 00:02:09,760 Speaker 1: the governorship here in Indiana, and then as Vice President. 40 00:02:09,760 --> 00:02:13,280 Speaker 1: I'm incredibly proud of the record of our administration and 41 00:02:13,360 --> 00:02:16,160 Speaker 1: I'm proud of what the American people accomplished during COVID. Guys, 42 00:02:16,200 --> 00:02:19,799 Speaker 1: there's a couple of chapters in my book, in one 43 00:02:19,840 --> 00:02:23,040 Speaker 1: of which is entitled Only in America, where I really 44 00:02:23,080 --> 00:02:27,520 Speaker 1: pay tribute to the extraordinary compassion of our healthcare workers, 45 00:02:27,520 --> 00:02:32,160 Speaker 1: the extraordinary generosity and innovation of American businesses. I mean, 46 00:02:32,800 --> 00:02:34,840 Speaker 1: from the time I was I was tapped to lead 47 00:02:34,840 --> 00:02:38,080 Speaker 1: the White House Coronavirus Task Force, Guys, I was really 48 00:02:38,160 --> 00:02:42,200 Speaker 1: inspired by what the American people were doing. But in 49 00:02:42,240 --> 00:02:46,760 Speaker 1: those early days, you know, when I became the leader 50 00:02:46,800 --> 00:02:49,840 Speaker 1: of the White House Coronavirus Task Force, it was a 51 00:02:49,880 --> 00:02:52,480 Speaker 1: fairly small group. The President organized it a week a 52 00:02:52,560 --> 00:02:55,840 Speaker 1: month earlier, and it included doctor Tony Fauci and some 53 00:02:55,919 --> 00:02:59,040 Speaker 1: other medical experts that would grow. But one of the 54 00:02:59,040 --> 00:03:02,320 Speaker 1: first decisions that I made was to add the Secretary 55 00:03:02,360 --> 00:03:05,400 Speaker 1: of the Treasury, the Secretary of Agriculture, Larry Cudlow, on 56 00:03:05,440 --> 00:03:09,520 Speaker 1: our economic team, because I knew that the advice that 57 00:03:09,560 --> 00:03:13,000 Speaker 1: we were going to give the President could not just be, 58 00:03:13,680 --> 00:03:16,919 Speaker 1: you know, the advice of the clinical doctors. It had 59 00:03:16,960 --> 00:03:19,920 Speaker 1: to be balanced and take in the whole interest of 60 00:03:19,960 --> 00:03:23,360 Speaker 1: the American people. And as I as I write, and 61 00:03:23,400 --> 00:03:26,959 Speaker 1: so help me God, Um. You know, in those early days, 62 00:03:27,000 --> 00:03:29,959 Speaker 1: I know that doctor Fauci, when when we didn't know 63 00:03:30,120 --> 00:03:33,000 Speaker 1: what was coming, when we didn't understand the disease, and 64 00:03:33,040 --> 00:03:38,440 Speaker 1: Americans were anxious, we were reinventing, testing, we were manufacturing 65 00:03:38,480 --> 00:03:42,400 Speaker 1: billions of supplies and and you know, over one hundred 66 00:03:42,400 --> 00:03:45,440 Speaker 1: thousand ventilators in a hundred days. I think in those 67 00:03:45,440 --> 00:03:48,880 Speaker 1: early days, doctor Fauci was a comfort to millions of 68 00:03:48,920 --> 00:03:53,560 Speaker 1: Americans and uh and and he always stayed in his lane. 69 00:03:53,640 --> 00:03:55,440 Speaker 1: That's how I put it in my book. I mean, 70 00:03:55,560 --> 00:03:59,760 Speaker 1: he was invariably the first person to say, look, I'll 71 00:03:59,760 --> 00:04:03,240 Speaker 1: give you the scientist's perspective, but I understand the President's 72 00:04:03,240 --> 00:04:05,839 Speaker 1: got to consider a lot more. And that was one 73 00:04:05,840 --> 00:04:10,080 Speaker 1: of the reasons why, you know, one month into our 74 00:04:10,160 --> 00:04:15,240 Speaker 1: efforts to essentially buy time and slow the spread, we 75 00:04:15,240 --> 00:04:18,000 Speaker 1: worked to open up America again and stayed Like Mike, 76 00:04:18,040 --> 00:04:21,120 Speaker 1: when did you realize that that Fauci was actually a 77 00:04:21,240 --> 00:04:23,960 Speaker 1: partisan and the absolute worst than hoping to deep six 78 00:04:24,040 --> 00:04:28,560 Speaker 1: the presidency that you were a part of. Well, early on, 79 00:04:28,640 --> 00:04:30,839 Speaker 1: I must tell you I didn't perceive it that way. 80 00:04:30,880 --> 00:04:33,400 Speaker 1: In fact, I thought President Trump and Fauci as a 81 00:04:33,400 --> 00:04:37,359 Speaker 1: couple of old New Yorkers, you know, had had a 82 00:04:37,440 --> 00:04:41,880 Speaker 1: good working relationship, but things began to shift, you know, 83 00:04:42,000 --> 00:04:45,200 Speaker 1: toward the end. And I must tell you it grieves 84 00:04:45,240 --> 00:04:49,800 Speaker 1: my heart that the Biden administration lost more Americans in 85 00:04:49,880 --> 00:04:53,200 Speaker 1: their first year with COVID with all of the tools 86 00:04:53,279 --> 00:04:58,400 Speaker 1: that we left behind, including vaccines, more Americans than we 87 00:04:58,480 --> 00:05:01,120 Speaker 1: lost in our first year, and we, for the most 88 00:05:01,160 --> 00:05:03,960 Speaker 1: part had none of those tools. But I do think 89 00:05:04,040 --> 00:05:07,520 Speaker 1: it is part and parcel of the Biden administration essentially 90 00:05:08,360 --> 00:05:11,760 Speaker 1: putting doctor Fauci in charge of the national response. You know, 91 00:05:12,320 --> 00:05:15,599 Speaker 1: there's the old saying that you know, when when you're 92 00:05:15,600 --> 00:05:18,560 Speaker 1: holding a hammer, everything's a nail. And I wasn't I 93 00:05:18,680 --> 00:05:23,039 Speaker 1: wasn't surprised that the Biden administration abandoned our commitment to 94 00:05:23,760 --> 00:05:27,919 Speaker 1: you know, therapeutics, abandoned our commitment to opening up states 95 00:05:27,920 --> 00:05:31,599 Speaker 1: around the country, and and largely turned all of its 96 00:05:31,600 --> 00:05:38,440 Speaker 1: focus on vaccines and ultimately and wrongly mandated vaccines for 97 00:05:38,520 --> 00:05:42,800 Speaker 1: Americans that was partially turned aside by the conservative majority 98 00:05:42,839 --> 00:05:45,440 Speaker 1: on the Supreme Court. So, you know, as I said, 99 00:05:45,480 --> 00:05:49,000 Speaker 1: I think, uh, you know, it was it saddens me 100 00:05:49,080 --> 00:05:52,640 Speaker 1: that the Biden administration, in so many ways squandered the 101 00:05:52,680 --> 00:05:56,440 Speaker 1: progress that we made and uh and putting doctor Fauci 102 00:05:56,560 --> 00:05:59,640 Speaker 1: in the lead of the Biden administration's response, I think 103 00:06:00,120 --> 00:06:06,320 Speaker 1: explains their focus on concentrating everything in Washington, concentrating everything 104 00:06:06,320 --> 00:06:11,000 Speaker 1: on vaccines, ultimately mandating vaccines instead of taking the whole 105 00:06:11,040 --> 00:06:14,280 Speaker 1: of America federalist approach that we took in our administration. 106 00:06:14,480 --> 00:06:16,520 Speaker 1: We're speaking to former Vice President Mike Pence. He's got 107 00:06:16,520 --> 00:06:19,720 Speaker 1: a new book out, so help me God. Vice President 108 00:06:19,720 --> 00:06:22,440 Speaker 1: Pence tell us this. You know, the midterm election, there 109 00:06:22,440 --> 00:06:26,160 Speaker 1: were some bright spots, there were the votes in the aggregate, 110 00:06:26,279 --> 00:06:29,520 Speaker 1: but there wasn't the red wave that we needed, and 111 00:06:29,600 --> 00:06:33,800 Speaker 1: it seemed that there were a number of points of failure. 112 00:06:33,880 --> 00:06:35,760 Speaker 1: Might be too strong a word for some people, but 113 00:06:35,800 --> 00:06:38,400 Speaker 1: I think for others it's not strong enough. Clearly there 114 00:06:38,400 --> 00:06:40,680 Speaker 1: were some problems and some places we came up short. 115 00:06:41,000 --> 00:06:45,599 Speaker 1: How do we fix that? Well, guys, look there, thanks 116 00:06:45,600 --> 00:06:49,320 Speaker 1: for saying you're the first. You're the first show not 117 00:06:49,440 --> 00:06:52,640 Speaker 1: surprisingly that said that there was a red wave some places. 118 00:06:52,720 --> 00:06:57,080 Speaker 1: I mean you'll look you look at at the governors 119 00:06:57,160 --> 00:07:00,160 Speaker 1: or re elections in places like Texas and Florida, in 120 00:07:01,080 --> 00:07:04,760 Speaker 1: Georgia where they had probably the most formidable Democrat candidate 121 00:07:04,800 --> 00:07:08,280 Speaker 1: in the country, and Stacy Abrams raised one hundred million 122 00:07:08,360 --> 00:07:11,880 Speaker 1: dollars in Governor Brian Kemp, you know, won decisively in 123 00:07:11,920 --> 00:07:14,920 Speaker 1: the fall, and my friend Leezeldon came up short in 124 00:07:15,000 --> 00:07:20,400 Speaker 1: New York. But but he actually brought with him four 125 00:07:20,480 --> 00:07:23,800 Speaker 1: new Republicans elected to Congress from the state of New York. 126 00:07:23,840 --> 00:07:27,160 Speaker 1: That could be our new margin of a Republican majority. 127 00:07:27,200 --> 00:07:30,840 Speaker 1: So I really do believe there were there were pockets, 128 00:07:30,840 --> 00:07:34,040 Speaker 1: there were places, and the common denominator to me, guys, 129 00:07:34,240 --> 00:07:38,080 Speaker 1: is that, you know, candidates that were focused on the future, 130 00:07:38,680 --> 00:07:42,320 Speaker 1: that were focused on the challenges facing the American people today, 131 00:07:43,600 --> 00:07:47,840 Speaker 1: which are you know, border security and crime and record 132 00:07:47,880 --> 00:07:52,240 Speaker 1: inflation and high gasoline prices. Candidates that were focused on 133 00:07:52,240 --> 00:07:56,120 Speaker 1: the future did quite well, but candidly, those campaigns that 134 00:07:56,160 --> 00:07:59,160 Speaker 1: were focused on the past, including relitigating the past, did 135 00:07:59,200 --> 00:08:02,720 Speaker 1: not fare as well. We're talking to former Vice President 136 00:08:02,760 --> 00:08:05,040 Speaker 1: Mike Penn's his book out last week, so help me God. 137 00:08:06,680 --> 00:08:09,520 Speaker 1: Donald Trump announced on Tuesday of last week, the same 138 00:08:09,600 --> 00:08:11,840 Speaker 1: day your book came out, in the evening, he announced 139 00:08:11,840 --> 00:08:13,440 Speaker 1: that he was going to be running for president in 140 00:08:13,440 --> 00:08:16,440 Speaker 1: twenty twenty four. I know that there were several people 141 00:08:16,520 --> 00:08:19,520 Speaker 1: speaking out in Las Vegas who might be interested in 142 00:08:19,600 --> 00:08:23,280 Speaker 1: potentially running in twenty twenty four as well. You are 143 00:08:23,320 --> 00:08:27,080 Speaker 1: among those. When would you think is the right time 144 00:08:27,200 --> 00:08:31,280 Speaker 1: for you to officially decide if you are or are 145 00:08:31,320 --> 00:08:33,800 Speaker 1: not going to run in twenty twenty four. What kind 146 00:08:33,800 --> 00:08:38,520 Speaker 1: of timeline do you have in terms of making that decision. Well, first, 147 00:08:39,600 --> 00:08:45,319 Speaker 1: I'm always humbled to be asked, and early in my career, 148 00:08:45,360 --> 00:08:47,200 Speaker 1: as I write in the book So Help Me God, 149 00:08:47,400 --> 00:08:52,760 Speaker 1: back in twenty ten, I had unfernational office. I ultimately 150 00:08:53,559 --> 00:08:55,960 Speaker 1: prayed through it with my wife, spoke to friends, and 151 00:08:55,960 --> 00:08:58,000 Speaker 1: we felt called to come home here at Indiana and 152 00:08:58,040 --> 00:09:02,280 Speaker 1: serve as governor of this great state. And that decision was, 153 00:09:02,679 --> 00:09:04,360 Speaker 1: you know, one of the great honors of my life 154 00:09:04,360 --> 00:09:07,760 Speaker 1: and led to opportunities to service as your vice president 155 00:09:07,800 --> 00:09:10,280 Speaker 1: as well. So you know, what I can tell you 156 00:09:10,400 --> 00:09:14,160 Speaker 1: is that, you know, with two inactive duty military and 157 00:09:14,160 --> 00:09:18,280 Speaker 1: our immediate family, we actually haven't been together for the 158 00:09:18,360 --> 00:09:21,080 Speaker 1: last three years. But this Christmas, everybody's going to be 159 00:09:21,120 --> 00:09:23,439 Speaker 1: home in Indiana, and Karen and I are going to 160 00:09:23,520 --> 00:09:26,440 Speaker 1: take time as we always have, to sit down with 161 00:09:26,440 --> 00:09:30,679 Speaker 1: our kids, their spouses and talk to friends and continue 162 00:09:30,720 --> 00:09:34,000 Speaker 1: to listen to the American people. And I always tell 163 00:09:34,040 --> 00:09:36,560 Speaker 1: people there's two kinds of people in politics. There's people 164 00:09:36,600 --> 00:09:39,520 Speaker 1: that are driven and people that are called. And if 165 00:09:39,559 --> 00:09:41,480 Speaker 1: you reach so help me God, you'll you'll hear that 166 00:09:41,520 --> 00:09:44,520 Speaker 1: I've been both. I've let my ambition get ahead of 167 00:09:44,600 --> 00:09:48,240 Speaker 1: my values in the past and the way that as 168 00:09:48,280 --> 00:09:52,880 Speaker 1: a Christian I feel called represent myself in the public square. 169 00:09:53,000 --> 00:09:55,720 Speaker 1: But for the last twenty years, we've we've tried to 170 00:09:55,720 --> 00:09:58,840 Speaker 1: follow a calleague, guys, and so we're going to pray 171 00:09:58,880 --> 00:10:02,080 Speaker 1: through it and give it careful consideration, and some time 172 00:10:02,120 --> 00:10:04,040 Speaker 1: after the first of the year, we'll just discern what 173 00:10:04,080 --> 00:10:07,679 Speaker 1: our next calling might be. But I promised to keep 174 00:10:07,760 --> 00:10:11,400 Speaker 1: Clay Travis and Buck Sexton posted thank you. I appreciate that, 175 00:10:11,520 --> 00:10:14,840 Speaker 1: do you And as part of that, do you think 176 00:10:14,920 --> 00:10:18,080 Speaker 1: Joe Biden will run? Do you think he should run 177 00:10:18,200 --> 00:10:22,200 Speaker 1: for reelection? And does his choice in any way impact 178 00:10:22,320 --> 00:10:27,040 Speaker 1: your own choice? Well, the thing I'll tell you emphatically 179 00:10:27,160 --> 00:10:30,040 Speaker 1: is Joe Biden and Kamala Harris should not be reelected 180 00:10:30,240 --> 00:10:33,120 Speaker 1: as president and vice president. I no doubt, guys, I 181 00:10:33,400 --> 00:10:36,839 Speaker 1: knew they'd be bad. I didn't know they'd be this bad, 182 00:10:36,920 --> 00:10:40,200 Speaker 1: this fast. But then again, you know, I mean, literally 183 00:10:40,280 --> 00:10:43,840 Speaker 1: from day one, Joe Biden and Kamala Harris have been 184 00:10:43,960 --> 00:10:50,080 Speaker 1: dismantling the very policies that created the prosperity, the border security, 185 00:10:50,640 --> 00:10:54,680 Speaker 1: of the strength of our economy that we had in 186 00:10:54,679 --> 00:10:57,440 Speaker 1: those first three years of the Trump pens administration. I mean, 187 00:10:57,440 --> 00:11:02,640 Speaker 1: they literally a gusher of spending that launched the worst 188 00:11:02,640 --> 00:11:07,200 Speaker 1: inflation in forty years of war on energy after we 189 00:11:07,280 --> 00:11:11,079 Speaker 1: achieved energy independence, that has now set in motion that 190 00:11:11,720 --> 00:11:15,200 Speaker 1: gasoline prices through the WORF going into a Thanksgiving weekend. 191 00:11:15,679 --> 00:11:18,000 Speaker 1: And of course what I've been down to the southern 192 00:11:18,040 --> 00:11:20,679 Speaker 1: border in Arizona many times in the last two years, 193 00:11:20,760 --> 00:11:24,640 Speaker 1: five million people have come into this country illegally in 194 00:11:24,679 --> 00:11:28,000 Speaker 1: the last two years after we had reduced illegal immigration 195 00:11:28,679 --> 00:11:33,440 Speaker 1: by ninety percent. So, you know, whatever President Biden decides 196 00:11:33,480 --> 00:11:36,000 Speaker 1: to do, and whatever we decide to do, I'm going 197 00:11:36,080 --> 00:11:38,920 Speaker 1: to be working my heart out to make sure that 198 00:11:40,320 --> 00:11:43,640 Speaker 1: we do not get four more years of the disastrous 199 00:11:44,400 --> 00:11:47,439 Speaker 1: record of the Biden Harris administration. We've got a good 200 00:11:47,480 --> 00:11:51,199 Speaker 1: start in the House of Representatives with a new Republican majority, 201 00:11:51,640 --> 00:11:53,480 Speaker 1: but the next step is to win the Senate. When 202 00:11:53,480 --> 00:11:55,680 Speaker 1: the White House, win state houses around the country, and 203 00:11:55,679 --> 00:11:58,720 Speaker 1: I believe we will. I think we're at the beginning 204 00:11:58,720 --> 00:12:01,480 Speaker 1: of a great American comeback. The book is so help 205 00:12:01,559 --> 00:12:05,160 Speaker 1: me God, Vice President Pence the author, sir, appreciate you 206 00:12:05,160 --> 00:12:07,920 Speaker 1: being with us. We'll talk to you soon. Guys, thanks 207 00:12:07,960 --> 00:12:10,199 Speaker 1: for having me on us, so appreciate it. We'll talk 208 00:12:10,240 --> 00:12:13,959 Speaker 1: again soon. Yes, sir, Let's talk about Legacy Box, my friends, 209 00:12:14,000 --> 00:12:16,760 Speaker 1: a simple and safe way to digitize your families long 210 00:12:16,840 --> 00:12:20,080 Speaker 1: held videotapes and film reels. They also work with photos 211 00:12:20,120 --> 00:12:22,440 Speaker 1: all the new, not to mention slides, cassette tapes, and 212 00:12:22,559 --> 00:12:26,280 Speaker 1: many other media forms. 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He's officially allowed back on. 235 00:13:46,880 --> 00:13:49,520 Speaker 1: And you know, one of the things we discussed yesterday, 236 00:13:49,600 --> 00:13:52,800 Speaker 1: all the investigations, and I really mean this, it is 237 00:13:52,880 --> 00:13:56,640 Speaker 1: hard even as somebody who eats, sleeps, breathes, and is 238 00:13:56,679 --> 00:13:59,880 Speaker 1: obsessed with the news and what is happening in a 239 00:14:00,040 --> 00:14:04,000 Speaker 1: general in a day to day since that's how I am, 240 00:14:04,000 --> 00:14:07,120 Speaker 1: It's how Clay is, how our staff, our show team 241 00:14:07,400 --> 00:14:11,600 Speaker 1: is and with all that going on, it is difficult 242 00:14:11,600 --> 00:14:14,400 Speaker 1: to keep track of all the different Trump investigations that 243 00:14:14,440 --> 00:14:17,160 Speaker 1: they have going on at any point in time, and 244 00:14:17,240 --> 00:14:21,600 Speaker 1: it's they're making the justice system in general seem farcical, 245 00:14:21,600 --> 00:14:23,520 Speaker 1: whether it's at the state level in New York or 246 00:14:23,520 --> 00:14:27,200 Speaker 1: the federal level of the DOJ. But you know, Elon 247 00:14:27,320 --> 00:14:30,920 Speaker 1: Musk realizes you can't have a free speech platform if 248 00:14:30,920 --> 00:14:34,280 Speaker 1: you don't allow a former president and possible future president 249 00:14:34,280 --> 00:14:36,360 Speaker 1: on your platform. The fact that we even got to 250 00:14:36,440 --> 00:14:40,080 Speaker 1: that place is completely insane. I mean, it really is 251 00:14:40,560 --> 00:14:46,400 Speaker 1: dystopian Orwellian madness. And yet there are some who are 252 00:14:46,400 --> 00:14:48,360 Speaker 1: out there telling us, you know what, you really got 253 00:14:48,360 --> 00:14:52,720 Speaker 1: to be worried about Russian manipulation of Twitter. This guy, 254 00:14:52,920 --> 00:14:57,400 Speaker 1: doctor Galloway is at a professor at NYU. I've heard 255 00:14:57,480 --> 00:15:00,880 Speaker 1: him say some things about about male female relationships and 256 00:15:01,000 --> 00:15:03,560 Speaker 1: dating in the modern era that are actually astute. So 257 00:15:03,640 --> 00:15:05,560 Speaker 1: I will say, I've heard I go, oh, yeah, that's 258 00:15:05,600 --> 00:15:08,400 Speaker 1: actually true. But he's a lib and so he has 259 00:15:08,440 --> 00:15:10,920 Speaker 1: to say some crazy things. Here he is saying that 260 00:15:11,360 --> 00:15:15,120 Speaker 1: the Twitter poll Clay to get that Elon put up. 261 00:15:15,160 --> 00:15:16,920 Speaker 1: He put it up and I had what was it 262 00:15:17,000 --> 00:15:19,520 Speaker 1: like twelve or fourteen million votes or something like that 263 00:15:20,240 --> 00:15:24,320 Speaker 1: poll that went up that got Trump reinstated was probably 264 00:15:24,360 --> 00:15:28,960 Speaker 1: manipulated by you guessed it, Russian intelligence play four. I 265 00:15:28,960 --> 00:15:31,600 Speaker 1: think these polls are mostly a gimmick, and I would 266 00:15:31,680 --> 00:15:34,920 Speaker 1: argue that people haven't spoken, the GRU has spoken. These 267 00:15:35,360 --> 00:15:39,480 Speaker 1: Twitter intelligence. You mean, Twitter has become a playground for 268 00:15:39,560 --> 00:15:42,880 Speaker 1: bad actors and fake bots. This poll is meaningless, This 269 00:15:43,040 --> 00:15:46,560 Speaker 1: decision is meaningless. I mean, I would just want to 270 00:15:46,600 --> 00:15:49,520 Speaker 1: know why why did he go GRU instead of FSB. 271 00:15:49,760 --> 00:15:52,080 Speaker 1: I'm just curious, or SVR, which would actually be the 272 00:15:52,080 --> 00:15:54,720 Speaker 1: Foreign intelligence arm. If he's going to start throwing around acronyms, 273 00:15:54,720 --> 00:15:56,840 Speaker 1: maybe he should know what he's talking about. Well, not 274 00:15:56,880 --> 00:16:01,240 Speaker 1: only that, but the election is open to anybody, right, 275 00:16:01,400 --> 00:16:03,640 Speaker 1: you can be you can live anywhere in the world 276 00:16:03,880 --> 00:16:07,400 Speaker 1: and decide that you want to vote in Elon Musk's poll. 277 00:16:08,840 --> 00:16:10,920 Speaker 1: And I would just point out again it was a 278 00:16:11,000 --> 00:16:14,600 Speaker 1: fifty two to forty eight vote, and the forty eight 279 00:16:14,680 --> 00:16:18,320 Speaker 1: that don't believe Donald Trump should be reinstated are effectively 280 00:16:18,400 --> 00:16:23,280 Speaker 1: saying they don't believe that a presidential candidate and former 281 00:16:23,320 --> 00:16:26,920 Speaker 1: president should be able to speak on the platform. And again, Buck, 282 00:16:26,960 --> 00:16:28,840 Speaker 1: you and I have talked about this. I'm not sure 283 00:16:28,840 --> 00:16:32,560 Speaker 1: that being on Twitter benefits Trump at all, but as 284 00:16:32,840 --> 00:16:36,880 Speaker 1: a as a point of democracy and being able to 285 00:16:37,000 --> 00:16:42,320 Speaker 1: understand what are elected leaders or would be elected leaders believe, 286 00:16:42,800 --> 00:16:45,760 Speaker 1: shouldn't you want them to speak as much as possible 287 00:16:46,280 --> 00:16:49,480 Speaker 1: so that you know as much as you can to 288 00:16:49,520 --> 00:16:51,480 Speaker 1: help you make a decision about who the leader of 289 00:16:51,480 --> 00:16:55,480 Speaker 1: the free world should be. That's whether you're a democratic Republican. 290 00:16:55,600 --> 00:16:58,640 Speaker 1: I think Elon Musk is nailing this, and he's also 291 00:16:58,800 --> 00:17:03,520 Speaker 1: showing how extreme dream in anti First Amendment, in anti 292 00:17:03,560 --> 00:17:08,000 Speaker 1: marketplace of ideas, the democrat perspective has become. And this 293 00:17:08,080 --> 00:17:10,679 Speaker 1: all ties back to me buck this idea that we 294 00:17:10,760 --> 00:17:13,320 Speaker 1: have to fight with every fiber of our being that 295 00:17:13,440 --> 00:17:16,720 Speaker 1: words are violence, that that that's something that is now 296 00:17:16,800 --> 00:17:19,960 Speaker 1: deeply ingrained in our culture in our country, that if 297 00:17:20,000 --> 00:17:23,520 Speaker 1: you say something that offends or upsets someone, that is 298 00:17:23,560 --> 00:17:27,040 Speaker 1: the equivalent of a violent act, And I understand that 299 00:17:27,040 --> 00:17:29,919 Speaker 1: that also justifies violence in response in their mind. Yes, 300 00:17:30,000 --> 00:17:31,600 Speaker 1: this is the part of it that's often left out. 301 00:17:31,800 --> 00:17:35,800 Speaker 1: This is why when there are conservative speakers at colleges, 302 00:17:36,440 --> 00:17:41,000 Speaker 1: the Antifa and you know, shrieking banshee lunatics that surround 303 00:17:41,040 --> 00:17:45,280 Speaker 1: these speeches, they think that throwing things and threatening violence 304 00:17:45,280 --> 00:17:49,720 Speaker 1: against these speakers, is okay because they're stopping violence by 305 00:17:49,920 --> 00:17:54,000 Speaker 1: using violence against the speech that they say is violence. 306 00:17:54,359 --> 00:17:58,919 Speaker 1: It's crazy, it is it's it's absolutely balderdash, and unfortunately 307 00:17:59,240 --> 00:18:02,520 Speaker 1: it's and it's going to be really hard to beat back. 308 00:18:02,640 --> 00:18:04,840 Speaker 1: At this point in time, I want to tell you 309 00:18:04,880 --> 00:18:07,080 Speaker 1: guys all about business owners out there as we get 310 00:18:07,119 --> 00:18:08,680 Speaker 1: ready for the holidays, how many of you are trying 311 00:18:08,680 --> 00:18:10,760 Speaker 1: to figure out exactly what your books are going to 312 00:18:10,840 --> 00:18:12,679 Speaker 1: look like for the end of the year. If your 313 00:18:12,720 --> 00:18:14,760 Speaker 1: business has five or more employees and you made it 314 00:18:14,840 --> 00:18:19,400 Speaker 1: through COVID and the recession difficulties, you could be eligible 315 00:18:19,400 --> 00:18:21,520 Speaker 1: to receive a payroll tax rebate of up to twenty 316 00:18:21,520 --> 00:18:23,880 Speaker 1: six thousand dollars per employee. Now this is not a loan, 317 00:18:24,160 --> 00:18:26,560 Speaker 1: no payback, It's just a refund of the taxes you've 318 00:18:26,600 --> 00:18:29,680 Speaker 1: already paid. How do you get your businesses refund money? 319 00:18:29,720 --> 00:18:33,160 Speaker 1: Go to get refunds dot Com their tax attorney specialist 320 00:18:33,200 --> 00:18:36,440 Speaker 1: this little known payroll tax refund program. They do all 321 00:18:36,440 --> 00:18:38,760 Speaker 1: the work, no charges up front. They just share a 322 00:18:38,760 --> 00:18:41,480 Speaker 1: percentage of the cash they get with you. Businesses of 323 00:18:41,520 --> 00:18:44,960 Speaker 1: all types can qualify, including those who took PPP nonprofits, 324 00:18:45,040 --> 00:18:48,400 Speaker 1: even those that had increases in sales. You can go 325 00:18:48,760 --> 00:18:52,159 Speaker 1: to get refunds dot com quick on qualify me, answer 326 00:18:52,200 --> 00:18:55,480 Speaker 1: a few questions. Payroll tax refund only available for a 327 00:18:55,520 --> 00:18:58,600 Speaker 1: limited amount of time. Don't miss out. Get refunds dot com, 328 00:18:58,640 --> 00:19:02,840 Speaker 1: No risk, high reward, Get refunds dot Com. Sexton on 329 00:19:02,960 --> 00:19:14,680 Speaker 1: the front lines of Welcome Back in Play Travis buck 330 00:19:14,760 --> 00:19:17,160 Speaker 1: Sexton Show. So I want to open up phone lines 331 00:19:17,240 --> 00:19:20,320 Speaker 1: here yesterday, and I would encourage you to go listen 332 00:19:20,320 --> 00:19:22,560 Speaker 1: to this because I thought it was a really interesting conversation. 333 00:19:22,760 --> 00:19:26,080 Speaker 1: We had Nancy Grace on to talk about a story 334 00:19:26,119 --> 00:19:30,119 Speaker 1: that's leading the news everywhere right now and both Bucket 335 00:19:30,240 --> 00:19:33,640 Speaker 1: myself and probably you and some of your family as 336 00:19:33,640 --> 00:19:36,080 Speaker 1: you get close to Thanksgiving. It's a conversation that will 337 00:19:36,160 --> 00:19:39,359 Speaker 1: likely be emerging and it has to do with the 338 00:19:39,560 --> 00:19:45,680 Speaker 1: quadruple murder that is as of now unsolved from near 339 00:19:45,800 --> 00:19:49,600 Speaker 1: the University of Idaho, right off the campus there in Moscow, Idaho. 340 00:19:50,400 --> 00:19:53,600 Speaker 1: And we got a ton of feedback after that conversation 341 00:19:53,640 --> 00:19:57,160 Speaker 1: that we had with Nancy Grace yesterday. So I want 342 00:19:57,160 --> 00:20:01,000 Speaker 1: to open up phone lines just these specific callers. If 343 00:20:01,040 --> 00:20:04,960 Speaker 1: you are listening to us in Spokane, Washington, the area 344 00:20:05,160 --> 00:20:08,919 Speaker 1: kq nt AM huge audience that we have there. We 345 00:20:09,000 --> 00:20:13,399 Speaker 1: believe it extends down into the University of Idaho area, 346 00:20:13,520 --> 00:20:16,960 Speaker 1: right there on the border between Idaho and Washington. I'd 347 00:20:16,960 --> 00:20:19,359 Speaker 1: like to hear, and Buck would like to hear from 348 00:20:19,520 --> 00:20:24,600 Speaker 1: people in Moscow, Idaho, about how all of this is 349 00:20:25,160 --> 00:20:28,639 Speaker 1: going down, what the community is responding. There hadn't been 350 00:20:28,680 --> 00:20:31,960 Speaker 1: a murder there in seven years. Buck, and there were 351 00:20:32,119 --> 00:20:35,880 Speaker 1: six people in this house. Four of them were stabbed 352 00:20:35,880 --> 00:20:39,120 Speaker 1: to death on the second and the third floor. They 353 00:20:39,160 --> 00:20:44,840 Speaker 1: still have been unable to find alleged perpetrator, at least publicly. 354 00:20:45,240 --> 00:20:48,280 Speaker 1: Not a lot of evidence in this case. There were 355 00:20:48,280 --> 00:20:51,040 Speaker 1: two people on the first floor. I don't know if 356 00:20:51,040 --> 00:20:53,520 Speaker 1: they were in locked bedrooms. I haven't seen the specifics 357 00:20:53,520 --> 00:20:56,320 Speaker 1: about why they were not attacked. But on the second 358 00:20:56,359 --> 00:21:00,320 Speaker 1: and the third floor, four people stabbed to death while 359 00:21:00,440 --> 00:21:03,480 Speaker 1: they were sleeping. They were not found. I don't believe 360 00:21:03,520 --> 00:21:07,639 Speaker 1: Buck until the next day around noon. These are college kids. 361 00:21:07,920 --> 00:21:10,440 Speaker 1: They believe the stabbing happened in the three to four 362 00:21:10,560 --> 00:21:16,000 Speaker 1: am times area. These kids have been out until around 363 00:21:16,040 --> 00:21:18,520 Speaker 1: two in the morning. It's a Saturday on a college campus. 364 00:21:18,560 --> 00:21:23,680 Speaker 1: Not uncommon at all. And I can't stop reading about 365 00:21:23,720 --> 00:21:29,080 Speaker 1: this case and or consuming stories about this case. And 366 00:21:29,119 --> 00:21:31,040 Speaker 1: I know many of you are the same as us, 367 00:21:31,080 --> 00:21:33,520 Speaker 1: so eight hundred two eight two two eight eight two. 368 00:21:33,600 --> 00:21:36,560 Speaker 1: We didn't give people an opportunity yesterday to react, but 369 00:21:36,600 --> 00:21:40,080 Speaker 1: we would like people in the Moscow, Idaho region in 370 00:21:40,160 --> 00:21:42,679 Speaker 1: that area to let us know what's going on and 371 00:21:42,840 --> 00:21:45,080 Speaker 1: what it feels like to be in this community where 372 00:21:45,080 --> 00:21:47,560 Speaker 1: there hadn't been a murder in seven years and suddenly 373 00:21:47,640 --> 00:21:50,800 Speaker 1: there's an unsolved quadruple murder of college kids. And you know, 374 00:21:51,000 --> 00:21:53,359 Speaker 1: yesterday when we had Nancy Grays on to talk about this, 375 00:21:53,680 --> 00:21:59,359 Speaker 1: she said that she would not connect the data point, 376 00:21:59,359 --> 00:22:02,880 Speaker 1: if you will, the report about a dog that had 377 00:22:02,920 --> 00:22:06,040 Speaker 1: been skinned and gutted that was found a few weeks 378 00:22:06,040 --> 00:22:07,840 Speaker 1: before this, but in the same neighborhood. This is not 379 00:22:07,880 --> 00:22:10,359 Speaker 1: a big place in Moscow, Idaho. We said yesterday, twenty 380 00:22:10,359 --> 00:22:12,679 Speaker 1: five thousand people. There's a small town. It's pushed right 381 00:22:12,800 --> 00:22:18,439 Speaker 1: up against the border of Washington State, and you know, 382 00:22:18,440 --> 00:22:21,560 Speaker 1: so it's western Idaho. And today the police are saying 383 00:22:21,640 --> 00:22:25,320 Speaker 1: that they're unrelated. But when I read the explanation for 384 00:22:25,440 --> 00:22:28,880 Speaker 1: why it's unrelated, they just said it's wildlife activity or something. 385 00:22:28,920 --> 00:22:32,840 Speaker 1: It seemed bizarre to me. And you have to remember 386 00:22:33,080 --> 00:22:35,920 Speaker 1: and this is this is just the way it is, unfortunately, 387 00:22:35,920 --> 00:22:39,719 Speaker 1: and instances like this, where there's a very very serious, 388 00:22:39,760 --> 00:22:42,000 Speaker 1: hainous crime that happens in a community that just has 389 00:22:42,680 --> 00:22:46,840 Speaker 1: limited law enforce and resources. The cops that are dealing 390 00:22:46,880 --> 00:22:48,680 Speaker 1: with this, especially the first ones on the scene, they're 391 00:22:48,880 --> 00:22:51,000 Speaker 1: to say they're not used to this. As a dramatic understatement, 392 00:22:51,000 --> 00:22:53,439 Speaker 1: I mean, very few cops have seen these kinds of 393 00:22:53,480 --> 00:22:56,199 Speaker 1: crime scenes before. But there's already a lot of a 394 00:22:56,280 --> 00:22:58,600 Speaker 1: lot of reporting. Is it fair or not? I don't know. 395 00:22:58,720 --> 00:23:01,399 Speaker 1: Right we're not there, We're not able to cover this 396 00:23:01,520 --> 00:23:04,320 Speaker 1: on the ground. The people are saying that, you know, 397 00:23:04,400 --> 00:23:08,159 Speaker 1: tire tracks were not preserved immediately. I mean, some rudimentary 398 00:23:08,880 --> 00:23:12,880 Speaker 1: investigative mistakes seem to have been made here, which may 399 00:23:13,080 --> 00:23:16,640 Speaker 1: slow the whole process down of even getting some sense. 400 00:23:16,640 --> 00:23:18,240 Speaker 1: I mean, they have no idea of motive, they have 401 00:23:18,320 --> 00:23:21,560 Speaker 1: no suspects that we've even gotten an inclination about yet, 402 00:23:21,840 --> 00:23:24,240 Speaker 1: and I think people are realizing that this could be 403 00:23:24,800 --> 00:23:26,480 Speaker 1: this could be a long haul to try to get 404 00:23:26,800 --> 00:23:30,920 Speaker 1: some measure of justice for these families by finding whoever 405 00:23:31,000 --> 00:23:33,679 Speaker 1: did this. I mean, this is among the more heinous 406 00:23:33,720 --> 00:23:37,639 Speaker 1: crimes anybody can think of in recent memory. So I 407 00:23:37,680 --> 00:23:40,640 Speaker 1: don't understand how why the dog based on the reporting, 408 00:23:40,720 --> 00:23:43,520 Speaker 1: why that would be unrelated, But apparently police are saying 409 00:23:43,520 --> 00:23:46,600 Speaker 1: it is unrelated. There's just some things that don't add up. 410 00:23:46,640 --> 00:23:49,399 Speaker 1: Clay went into there were other people in the house. 411 00:23:50,200 --> 00:23:52,359 Speaker 1: How is that this person was able to the killer 412 00:23:52,440 --> 00:23:55,359 Speaker 1: was able to do this without waking anybody? There was 413 00:23:55,400 --> 00:23:58,880 Speaker 1: a dog in the house that didn't I mean, maybe 414 00:23:58,920 --> 00:24:00,600 Speaker 1: they're used to maybe the dog bark a little bit, 415 00:24:00,640 --> 00:24:02,320 Speaker 1: it didn't wake anybody up because they're used to it. 416 00:24:02,359 --> 00:24:05,359 Speaker 1: But the dog has been taken away from the house. 417 00:24:05,359 --> 00:24:08,760 Speaker 1: This is reporting from today. How could somebody manage to 418 00:24:08,800 --> 00:24:14,520 Speaker 1: get in? Think of the risk of discovery that this 419 00:24:14,640 --> 00:24:17,679 Speaker 1: murderer would be taking by going into this house with 420 00:24:17,760 --> 00:24:21,199 Speaker 1: a knife and one by one killing these individuals in 421 00:24:21,240 --> 00:24:25,119 Speaker 1: their sleep. It would be so easy for someone, including 422 00:24:25,119 --> 00:24:27,720 Speaker 1: people in the house who weren't even attacked, to cry out, 423 00:24:27,840 --> 00:24:29,720 Speaker 1: just you know, to scream, to say what's going on. 424 00:24:30,760 --> 00:24:32,879 Speaker 1: It just doesn't I've I've looked. I don't know if 425 00:24:32,880 --> 00:24:35,080 Speaker 1: anyone's ever seen anything like this before. I've never seen 426 00:24:35,119 --> 00:24:39,960 Speaker 1: anything like this, And I asked Nancy yesterday during that interview, 427 00:24:40,400 --> 00:24:42,560 Speaker 1: I don't think you can underrate the aspect of the 428 00:24:42,640 --> 00:24:46,760 Speaker 1: murders being occurring with a knife. That's so violent, it's 429 00:24:46,800 --> 00:24:50,879 Speaker 1: so visceral. You are right up on top of the person, 430 00:24:51,400 --> 00:24:55,360 Speaker 1: and it feels quite a lot different than say, shooting 431 00:24:55,400 --> 00:24:58,920 Speaker 1: someone with a gun from a distance. Yeah, I remember 432 00:24:58,920 --> 00:25:03,119 Speaker 1: I listened to a very popular iHeartMedia podcast on the 433 00:25:03,160 --> 00:25:07,239 Speaker 1: piked In massacre in Ohio, which I think was the 434 00:25:07,280 --> 00:25:10,160 Speaker 1: second biggest mass murder in the country in that year 435 00:25:10,200 --> 00:25:12,600 Speaker 1: after the Pulse nightclub shooting. So it was a major 436 00:25:12,920 --> 00:25:17,200 Speaker 1: and it was a dispute between two families that escalated 437 00:25:17,240 --> 00:25:19,879 Speaker 1: to where I think it was five of the family 438 00:25:19,880 --> 00:25:22,600 Speaker 1: members were killed in their sleep. They were killed with 439 00:25:22,760 --> 00:25:25,840 Speaker 1: a firearm, though, so somebody went in and killed And 440 00:25:25,920 --> 00:25:27,639 Speaker 1: clearly there was a there was a baby at one 441 00:25:27,640 --> 00:25:29,600 Speaker 1: of the crime scenes that was spared. They didn't they 442 00:25:29,600 --> 00:25:31,439 Speaker 1: didn't go after the baby. They were going after the adults. 443 00:25:31,440 --> 00:25:34,520 Speaker 1: And the family was a mass murder. Five people killed, 444 00:25:35,040 --> 00:25:37,640 Speaker 1: but they used a gun and in this instance they 445 00:25:37,640 --> 00:25:41,760 Speaker 1: were using this individual was using a knife. And it 446 00:25:42,400 --> 00:25:46,120 Speaker 1: cannot feel right now. Well, I mean to that community, 447 00:25:46,119 --> 00:25:48,320 Speaker 1: for example, they have no idea, it's not like they 448 00:25:48,359 --> 00:25:49,800 Speaker 1: have a sense of who this might be and the 449 00:25:49,800 --> 00:25:53,520 Speaker 1: person's on the run. They seemed to know nothing, which 450 00:25:54,200 --> 00:25:56,680 Speaker 1: given the national level attack, mean meaning the police seemed 451 00:25:56,720 --> 00:25:59,440 Speaker 1: to know nothing about who did this. Now they could 452 00:25:59,520 --> 00:26:02,240 Speaker 1: behold no law enforcement officers listening. Look, that could be 453 00:26:02,240 --> 00:26:06,000 Speaker 1: holding back key details. That is possible, clearly, And like 454 00:26:06,040 --> 00:26:09,880 Speaker 1: I said, we're not doing the investigation, but it doesn't 455 00:26:09,960 --> 00:26:12,040 Speaker 1: you know how they pull all this together. They're going 456 00:26:12,080 --> 00:26:14,120 Speaker 1: to have a lot of DNA we discussed this yesterday, 457 00:26:14,160 --> 00:26:16,800 Speaker 1: a lot of evidence at the scene, but you need 458 00:26:16,800 --> 00:26:19,879 Speaker 1: the other piece of that, meaning you need to have 459 00:26:19,920 --> 00:26:22,480 Speaker 1: a match with somebody. So if they're not in any databases, 460 00:26:23,000 --> 00:26:26,320 Speaker 1: really tough to know who you're looking for. And also again, 461 00:26:26,359 --> 00:26:29,040 Speaker 1: if you're living in that community eight hundred two A 462 00:26:29,160 --> 00:26:34,879 Speaker 1: two two eight two, it's unlikely that someone just suddenly 463 00:26:34,960 --> 00:26:39,919 Speaker 1: snaps and stabs for people to death. So is this 464 00:26:40,000 --> 00:26:44,720 Speaker 1: a vagrant? Was this a crime where someone is moving through? 465 00:26:44,920 --> 00:26:48,119 Speaker 1: Are there any other crimes that are somewhat similar that 466 00:26:48,200 --> 00:26:50,639 Speaker 1: could be connected to this one in the region, in 467 00:26:50,720 --> 00:26:54,199 Speaker 1: the area. To me, this is this is one of 468 00:26:54,200 --> 00:26:59,159 Speaker 1: those stories. I'm not surprised at all that it is 469 00:26:59,200 --> 00:27:01,959 Speaker 1: receiving the amount of attention it does, and is that 470 00:27:02,040 --> 00:27:05,920 Speaker 1: it's opening many different newscasts right now because this is 471 00:27:05,920 --> 00:27:08,240 Speaker 1: the mystery, the likes of which we frankly just do 472 00:27:08,320 --> 00:27:11,360 Speaker 1: not see very often in this country. So again, we'll 473 00:27:11,359 --> 00:27:13,560 Speaker 1: take some of your calls in the next segment. I'd 474 00:27:13,560 --> 00:27:16,359 Speaker 1: like for people in that region to give us a 475 00:27:16,480 --> 00:27:19,640 Speaker 1: sense for the community and the community's response so far. 476 00:27:20,160 --> 00:27:24,160 Speaker 1: Eight hundred two eight two two eight eight two. Maybe 477 00:27:24,200 --> 00:27:27,720 Speaker 1: also if you're an investigator, a criminal profiler, based on 478 00:27:28,680 --> 00:27:30,960 Speaker 1: we've got a huge, huge law enforce and community that 479 00:27:30,960 --> 00:27:33,159 Speaker 1: listens if you have any and just any insight you 480 00:27:33,160 --> 00:27:35,639 Speaker 1: can offer to us. You know, the only investigations I 481 00:27:35,680 --> 00:27:37,960 Speaker 1: ever did were counter terrorism, which is obviously very different 482 00:27:38,000 --> 00:27:40,800 Speaker 1: from this. We'd love to hear from you guys as well, 483 00:27:40,880 --> 00:27:42,919 Speaker 1: in the event that you could help to analyze this 484 00:27:43,000 --> 00:27:45,359 Speaker 1: based on what you do for your profession. One eight 485 00:27:45,480 --> 00:27:47,560 Speaker 1: hundred two eight two two eight a two. We will 486 00:27:47,600 --> 00:27:49,880 Speaker 1: take your calls. We're also going to be speaking with 487 00:27:49,960 --> 00:27:53,760 Speaker 1: doctor Latipo from Florida, the surgeon General, who has helped 488 00:27:53,760 --> 00:27:56,240 Speaker 1: to drive what is the best response I think on 489 00:27:56,280 --> 00:27:59,840 Speaker 1: a state basis in the state of Florida to COVID. 490 00:28:00,040 --> 00:28:02,359 Speaker 1: What does he think of the comments made by doctor 491 00:28:02,359 --> 00:28:05,720 Speaker 1: Fauci and doctor Jaw today in the White House Press briefing. 492 00:28:05,760 --> 00:28:08,040 Speaker 1: We will talk with him in the third hour of 493 00:28:08,080 --> 00:28:11,120 Speaker 1: the program as we continue to move towards Thanksgiving. We're 494 00:28:11,160 --> 00:28:14,080 Speaker 1: grateful for all of you hanging out with us. Our 495 00:28:14,160 --> 00:28:16,320 Speaker 1: nation was founded on the principle that all men are 496 00:28:16,400 --> 00:28:19,360 Speaker 1: created equal. But there are far too many colleges and universities, 497 00:28:19,440 --> 00:28:23,040 Speaker 1: including those in the Ivy League, continuing to use race 498 00:28:23,119 --> 00:28:25,879 Speaker 1: as a factor for admissions. The Supreme Court is deciding 499 00:28:25,880 --> 00:28:28,000 Speaker 1: a case on the subject right now. But there's a 500 00:28:28,080 --> 00:28:31,520 Speaker 1: unique American college that doesn't discriminate based on race. It 501 00:28:31,600 --> 00:28:35,320 Speaker 1: never has and it never will. It's Hillsdale College. This 502 00:28:35,359 --> 00:28:37,919 Speaker 1: college in Michigan was founded in eighteen forty four to 503 00:28:38,040 --> 00:28:42,440 Speaker 1: educate all persons, irrespective of nationality, color, or sex. It 504 00:28:42,480 --> 00:28:45,000 Speaker 1: continues at policy today, admitting students on the strength of 505 00:28:45,000 --> 00:28:48,720 Speaker 1: their character, ability, and intentions, not their heritage or background. 506 00:28:49,480 --> 00:28:52,880 Speaker 1: Doctor Larry arn, the president of Hillsdale, recently published an 507 00:28:52,960 --> 00:28:56,960 Speaker 1: article explaining Hillsdale's colored blind policies and its related refusal 508 00:28:57,000 --> 00:29:00,760 Speaker 1: of government funding even indirectly in the form of student eight. 509 00:29:01,240 --> 00:29:05,480 Speaker 1: Read it for yourself at Clay and Buck four Hillsdale 510 00:29:05,520 --> 00:29:08,960 Speaker 1: dot com. That's Clay and Buck four Hillsdale dot com. 511 00:29:08,960 --> 00:29:10,640 Speaker 1: And after you read it, you may even want to 512 00:29:10,640 --> 00:29:13,400 Speaker 1: support Hillsdale with a year end gift. It's a great 513 00:29:13,480 --> 00:29:17,520 Speaker 1: institution that supports so many of your values and ideas. 514 00:29:17,920 --> 00:29:22,040 Speaker 1: Read doctor Arnes article today at Clay and Buck four 515 00:29:22,160 --> 00:29:26,760 Speaker 1: Hillsdale dot com. Two of the hardest voices to tell 516 00:29:26,840 --> 00:29:30,240 Speaker 1: the parts, but one unified voice when it comes to 517 00:29:30,360 --> 00:29:42,200 Speaker 1: the truth. The Clay Travis and Buck Sexton Show. Welcome 518 00:29:42,200 --> 00:29:44,200 Speaker 1: back to Clay and Buck. We said we'd take some calls. 519 00:29:44,240 --> 00:29:51,400 Speaker 1: We're looking into this Grizzly quadruple murder in Idaho. We've 520 00:29:51,400 --> 00:29:53,960 Speaker 1: also been told by people from the region that we 521 00:29:54,000 --> 00:29:57,120 Speaker 1: are supposed to pronounce this Moscow. So we have learned 522 00:29:57,240 --> 00:30:00,400 Speaker 1: not like the way Americans pronounced Moscow, the city Russia, 523 00:30:00,480 --> 00:30:04,360 Speaker 1: so Moscow, Idaho, and we have calls from the region. 524 00:30:04,400 --> 00:30:06,080 Speaker 1: This is one of the One of the advantages we 525 00:30:06,120 --> 00:30:09,040 Speaker 1: have of having an audience in all fifty states and 526 00:30:09,520 --> 00:30:11,680 Speaker 1: so many different stations in those states is that we 527 00:30:11,720 --> 00:30:14,400 Speaker 1: can say pretty much any corner of the country, Hey, 528 00:30:14,600 --> 00:30:17,360 Speaker 1: tell us what's going on on the ground there. We 529 00:30:17,440 --> 00:30:21,800 Speaker 1: have Marie in Moscow, Idaho, who is a retired law 530 00:30:21,920 --> 00:30:26,240 Speaker 1: enforcement officer. Marie, Thanks for calling in, Hi, guys, So 531 00:30:26,280 --> 00:30:27,880 Speaker 1: what do you make of what we've learned so far 532 00:30:27,920 --> 00:30:32,560 Speaker 1: and how this investigation is going? Well, something surprised me 533 00:30:32,600 --> 00:30:34,959 Speaker 1: in you know, I'm not privy to any information that 534 00:30:35,000 --> 00:30:37,360 Speaker 1: you guys don't have. So, you know, the Moscow Police 535 00:30:37,360 --> 00:30:40,920 Speaker 1: Department is really good about keeping a hold of information 536 00:30:40,960 --> 00:30:44,360 Speaker 1: that they shouldn't be disseminating. So I want to make 537 00:30:44,400 --> 00:30:47,400 Speaker 1: that clear. But in my experience, and I worked for 538 00:30:47,440 --> 00:30:51,440 Speaker 1: twenty five years for the Moscow Police Department, they have 539 00:30:51,680 --> 00:30:55,000 Speaker 1: never done what they've done with this investigation, which is 540 00:30:55,040 --> 00:30:59,400 Speaker 1: pulled all the patrol officers in to work this case, 541 00:31:00,040 --> 00:31:04,280 Speaker 1: and ESP is taking over patrol functions, So every police 542 00:31:04,280 --> 00:31:07,240 Speaker 1: officer in the suristiction is working on this case. And 543 00:31:07,960 --> 00:31:10,000 Speaker 1: so this is truly like all this is all hands 544 00:31:10,040 --> 00:31:14,040 Speaker 1: on deck for Moscow PD. Y. Yeah, And if you 545 00:31:13,480 --> 00:31:16,120 Speaker 1: know you've lived there, you said twenty five years, we 546 00:31:16,200 --> 00:31:18,920 Speaker 1: said there hadn't been a murder in seven years when 547 00:31:18,960 --> 00:31:22,680 Speaker 1: you heard this happen. How stunned were you that it 548 00:31:22,760 --> 00:31:26,240 Speaker 1: had happened here? Based on your experience as a police officer, 549 00:31:28,080 --> 00:31:31,200 Speaker 1: I wasn't stunned. Um, I mean, I'm also is a 550 00:31:31,200 --> 00:31:33,160 Speaker 1: small talent, but it's a town like any other, and 551 00:31:33,200 --> 00:31:39,320 Speaker 1: we've had our homicides in this area. I was a 552 00:31:39,320 --> 00:31:43,520 Speaker 1: little surprised that they didn't catch the perpetrator right away, 553 00:31:43,600 --> 00:31:47,360 Speaker 1: which so I don't think that's something where um, you know, 554 00:31:48,080 --> 00:31:50,560 Speaker 1: one of their friends went dessert, because that would those 555 00:31:50,680 --> 00:31:52,880 Speaker 1: kind of things are a lot of eagers called. Yeah. 556 00:31:52,880 --> 00:31:53,880 Speaker 1: I mean, that was the next thing I was going 557 00:31:53,960 --> 00:31:57,160 Speaker 1: to ask you, Marie. Is your sense here? I mean, again, 558 00:31:57,280 --> 00:31:59,160 Speaker 1: just going on, I know you don't have access. You 559 00:31:59,160 --> 00:32:01,840 Speaker 1: were in the PD there, you're in the police department there, 560 00:32:01,840 --> 00:32:04,040 Speaker 1: You're not anymore. And that's fine because that means that 561 00:32:04,080 --> 00:32:06,120 Speaker 1: you can actually talk to us without you know, divulging 562 00:32:06,160 --> 00:32:08,280 Speaker 1: anything you're not supposed to do. And I get that 563 00:32:08,320 --> 00:32:12,480 Speaker 1: as a former CIA officer, but just your your sense, right, 564 00:32:12,520 --> 00:32:14,200 Speaker 1: the tingling on the back of your neck. Do you 565 00:32:14,240 --> 00:32:17,600 Speaker 1: think that this killer knew these individuals or is this 566 00:32:17,720 --> 00:32:21,600 Speaker 1: just random serial killer stuff? No? I think he knew them. 567 00:32:21,840 --> 00:32:24,280 Speaker 1: And the reason for that is because the residence is 568 00:32:24,320 --> 00:32:27,400 Speaker 1: in a place that's not very accessible. You have to 569 00:32:27,440 --> 00:32:30,800 Speaker 1: go there specifically, so it's not on a through street. 570 00:32:30,880 --> 00:32:34,960 Speaker 1: It's in a little cult of side, not a place 571 00:32:35,000 --> 00:32:39,080 Speaker 1: where some random guys just going to walk into. So 572 00:32:39,160 --> 00:32:43,840 Speaker 1: that's and that's probably why, you know, the information has 573 00:32:43,840 --> 00:32:46,920 Speaker 1: come out that they believe it's targeted, and that feels 574 00:32:47,040 --> 00:32:50,200 Speaker 1: right to me that it was somebody who knew them 575 00:32:50,560 --> 00:32:54,520 Speaker 1: or was acquainted with them, knew the area and how 576 00:32:54,560 --> 00:32:56,800 Speaker 1: to get out of the area. Is there a lot 577 00:32:56,840 --> 00:32:58,680 Speaker 1: of fear in the community, by the way right now, 578 00:32:58,800 --> 00:33:01,440 Speaker 1: just because obviously there's a tremendous amount of sadness and 579 00:33:02,240 --> 00:33:05,000 Speaker 1: grieving for the loved ones and for these people who 580 00:33:05,000 --> 00:33:08,320 Speaker 1: were lost, you know, and for their families. But just 581 00:33:08,400 --> 00:33:12,160 Speaker 1: is the community very tense right now? I think there's 582 00:33:12,160 --> 00:33:15,560 Speaker 1: a little about I think there's um quite a bit 583 00:33:15,600 --> 00:33:21,040 Speaker 1: of people just taking stock of their own safety precautions. 584 00:33:21,200 --> 00:33:24,000 Speaker 1: I have a friend who's a locksmith in town, and 585 00:33:24,080 --> 00:33:27,720 Speaker 1: he's been getting calls off his funds, beening off the 586 00:33:27,800 --> 00:33:31,640 Speaker 1: hook for people who want to update their locks and whatnotum, 587 00:33:32,240 --> 00:33:35,360 Speaker 1: which is you know, in Moscow, people tend to pride 588 00:33:35,400 --> 00:33:37,520 Speaker 1: themselves on the fact that they never locked their doors, 589 00:33:38,320 --> 00:33:45,000 Speaker 1: and that is changing this week after this homicide, affecting 590 00:33:45,000 --> 00:33:49,680 Speaker 1: the people. I think in your experience, the stabbing, the 591 00:33:49,760 --> 00:33:52,560 Speaker 1: fact that this was not a gun murder. The fact 592 00:33:52,560 --> 00:33:54,600 Speaker 1: that it was a knife. Is that one of the 593 00:33:54,680 --> 00:33:57,120 Speaker 1: reasons why you think it's more likely to not be 594 00:33:57,200 --> 00:33:59,840 Speaker 1: a random act of violence, and also is a part 595 00:33:59,840 --> 00:34:03,200 Speaker 1: of this. Would it surprise you if the person who 596 00:34:03,240 --> 00:34:06,680 Speaker 1: did this didn't have some form of violent behavior in 597 00:34:06,720 --> 00:34:10,239 Speaker 1: their background? Is that normal to have someone kind of, 598 00:34:10,440 --> 00:34:12,560 Speaker 1: for lack of a better term, snap or is there 599 00:34:12,680 --> 00:34:15,920 Speaker 1: usually a lot of warning signs of some sort of 600 00:34:16,000 --> 00:34:18,640 Speaker 1: violent behavior like this before it happens. Maybe it's even 601 00:34:18,680 --> 00:34:23,400 Speaker 1: happened before somewhere else. You know, one thing that I 602 00:34:23,480 --> 00:34:27,200 Speaker 1: learned in twenty five years of long person is not 603 00:34:27,280 --> 00:34:31,759 Speaker 1: to make assumptions, because we've seen both here in this town, 604 00:34:33,000 --> 00:34:36,799 Speaker 1: people snapping and hitting you a ball, people snapping and 605 00:34:36,840 --> 00:34:41,000 Speaker 1: attacking in different ways. So I know that the police 606 00:34:41,040 --> 00:34:46,400 Speaker 1: are looking at everything, and I just I understand what 607 00:34:46,480 --> 00:34:48,439 Speaker 1: you're saying and why you're saying it, But I don't 608 00:34:48,480 --> 00:34:51,279 Speaker 1: think you can draw that conclusion. Marie. We appreciate you 609 00:34:51,360 --> 00:34:54,480 Speaker 1: calling in and sharing decades of experience, not just in 610 00:34:54,560 --> 00:34:57,960 Speaker 1: law enforcement, but in this town where this happened. We're 611 00:34:58,000 --> 00:35:00,680 Speaker 1: praying for you and the whole community. Thank you for 612 00:35:00,719 --> 00:35:05,680 Speaker 1: calling in. Doug in Idaho in uh, post Falls, Idaho, 613 00:35:06,200 --> 00:35:09,360 Speaker 1: Doug our team tells us, Oh, my gosh, you actually 614 00:35:09,480 --> 00:35:15,399 Speaker 1: knew one of the one of the students who was slain. Yes, sir, 615 00:35:15,440 --> 00:35:19,960 Speaker 1: I did, a close personal family friend. Oh gosh, yeah, 616 00:35:20,160 --> 00:35:22,480 Speaker 1: Can I tell us about this, uh, this person, how 617 00:35:22,480 --> 00:35:24,960 Speaker 1: did you have a relationship with them? And what is 618 00:35:25,000 --> 00:35:29,319 Speaker 1: the response in the community to obviously this horrible tragedy 619 00:35:29,840 --> 00:35:33,040 Speaker 1: I'll speak to. The response first is sorrow and sadness, 620 00:35:33,320 --> 00:35:37,279 Speaker 1: but happy to see a response go national wide and 621 00:35:37,760 --> 00:35:43,680 Speaker 1: everybody getting involved. Of course, Maddie's mom, Karen, is my 622 00:35:43,760 --> 00:35:48,319 Speaker 1: wife's best friend, very close. Every year they go out 623 00:35:48,320 --> 00:35:50,920 Speaker 1: on the local Christmas cruise on late quarter laden for 624 00:35:51,000 --> 00:35:53,520 Speaker 1: the Santa Claus cruise, Maddie and my daughters and my 625 00:35:53,560 --> 00:35:56,800 Speaker 1: wife and Maddie's mother Karen. Of course. So this is 626 00:35:56,880 --> 00:36:00,560 Speaker 1: awful um to happen anywhere, but in Idaho, in a 627 00:36:00,600 --> 00:36:04,120 Speaker 1: small community like this, it really does. I would imagine 628 00:36:04,160 --> 00:36:07,359 Speaker 1: touch almost every family because it is a small town 629 00:36:07,400 --> 00:36:10,080 Speaker 1: and it is a small state, and the connections I 630 00:36:10,120 --> 00:36:15,359 Speaker 1: would imagine as you're just referencing, are very, very substantial, 631 00:36:15,920 --> 00:36:20,399 Speaker 1: and so so many people are struck by this. Yeah, absolutely, 632 00:36:20,480 --> 00:36:23,000 Speaker 1: I mean, you know, when you get into these smaller communities. 633 00:36:23,400 --> 00:36:27,600 Speaker 1: Everybody knows everybody pretty much in one way, shape or form, 634 00:36:27,640 --> 00:36:30,280 Speaker 1: and yeah, I just you know, Mattie yourself had touched 635 00:36:30,320 --> 00:36:32,640 Speaker 1: a lot of life. She was very active in the community, 636 00:36:33,160 --> 00:36:37,840 Speaker 1: very active online, and just a sweetheart. Well, we're praying 637 00:36:37,880 --> 00:36:40,080 Speaker 1: for her family and for the whole community there. Dog, 638 00:36:40,200 --> 00:36:42,600 Speaker 1: thank you for calling in Clay. We will continue to 639 00:36:42,600 --> 00:36:46,080 Speaker 1: follow this investigation. I mean, let's let's just all hope 640 00:36:46,080 --> 00:36:48,719 Speaker 1: that there's a break in this case and that they 641 00:36:48,719 --> 00:36:53,360 Speaker 1: can find this this mass murderer that is that is 642 00:36:53,400 --> 00:36:56,000 Speaker 1: on the loose in Idaho. Right now, we're gonna be 643 00:36:56,080 --> 00:36:58,720 Speaker 1: joined here in a few minutes. We're gonna be switching 644 00:36:58,760 --> 00:37:03,120 Speaker 1: gears to talk more about out policy and COVID and 645 00:37:03,400 --> 00:37:08,200 Speaker 1: doctor Latipo, the Surgeon General, the brilliant surgeon General and 646 00:37:08,280 --> 00:37:10,200 Speaker 1: one with a backbone by the way, because she stood 647 00:37:10,239 --> 00:37:13,279 Speaker 1: up against the madness of Fauciism. He'll be joining us 648 00:37:13,320 --> 00:37:16,560 Speaker 1: to talk about well, what we're going into this winter 649 00:37:16,680 --> 00:37:19,080 Speaker 1: time and also Fauci's retirement a much more so stick 650 00:37:19,120 --> 00:37:26,280 Speaker 1: around Sleet Travis and Buck Sexton on the front lines 651 00:37:26,719 --> 00:37:27,280 Speaker 1: of truth