1 00:00:00,720 --> 00:00:03,680 Speaker 1: Welcome to the Freedom Hut. This is the best of 2 00:00:03,720 --> 00:00:07,480 Speaker 1: buck Daily podcast, the top stories of the day from 3 00:00:07,520 --> 00:00:11,040 Speaker 1: the buck Sexton Show. From more buck Head to buck 4 00:00:11,119 --> 00:00:14,360 Speaker 1: sexton dot com and remember to subscribe to the podcast. 5 00:00:15,360 --> 00:00:19,160 Speaker 1: Welcome friends to the buck Sexton Show. Look, I thought 6 00:00:19,239 --> 00:00:22,640 Speaker 1: we'd be here. Give the Buckster a little bit of credit. 7 00:00:23,720 --> 00:00:25,800 Speaker 1: I told you to be a very tight election. I 8 00:00:25,840 --> 00:00:28,320 Speaker 1: also told you Trump would win, which we can't yet 9 00:00:28,600 --> 00:00:32,159 Speaker 1: say is the case as I go to air. But 10 00:00:33,520 --> 00:00:35,440 Speaker 1: I told you it was going to be very, very tight, 11 00:00:35,479 --> 00:00:39,720 Speaker 1: and here we are. It's exactly the dog fight, the 12 00:00:39,720 --> 00:00:43,040 Speaker 1: trench warfare that I knew was going to be coming up. 13 00:00:43,520 --> 00:00:47,080 Speaker 1: And then that makes me just sit here and think 14 00:00:47,080 --> 00:00:50,879 Speaker 1: to myself, my, oh, my friends, what a time to 15 00:00:50,920 --> 00:00:55,160 Speaker 1: be alive. So what are the big immediate takeaways from 16 00:00:55,160 --> 00:00:57,920 Speaker 1: what we've seen? What are we already? I want to 17 00:00:57,920 --> 00:00:59,920 Speaker 1: start with what we know, and then over the court 18 00:01:00,160 --> 00:01:03,480 Speaker 1: the show will be discussing more of the specifics, what 19 00:01:03,640 --> 00:01:05,800 Speaker 1: remains to be seen and where this is all heading. 20 00:01:05,880 --> 00:01:09,440 Speaker 1: I will tell you I'm still confident in a Trump win. 21 00:01:10,959 --> 00:01:13,759 Speaker 1: But remember what I said the day of the election 22 00:01:13,800 --> 00:01:15,360 Speaker 1: on this show. I said that no matter what the 23 00:01:15,400 --> 00:01:18,479 Speaker 1: Trump movement will continue on. Here's the part of this 24 00:01:18,600 --> 00:01:21,560 Speaker 1: that is already really upsetting the lips. Here's the part 25 00:01:21,600 --> 00:01:27,240 Speaker 1: of this that is already really bothering the left. They 26 00:01:27,520 --> 00:01:32,040 Speaker 1: aren't going to be able to say with any seriousness. 27 00:01:32,040 --> 00:01:34,400 Speaker 1: I mean, nobody would take them seriously if they claim 28 00:01:34,440 --> 00:01:39,600 Speaker 1: that Donald Trump's version of Republican politics, that Donald Trump 29 00:01:39,680 --> 00:01:42,080 Speaker 1: as a leader of the GOP is over or has 30 00:01:42,080 --> 00:01:45,559 Speaker 1: been repudiated, not even a little bit, not even close. 31 00:01:46,080 --> 00:01:48,640 Speaker 1: That we are in a pandemic year, I once in 32 00:01:48,680 --> 00:01:53,080 Speaker 1: a century pandemic, and it's as close an election as 33 00:01:53,120 --> 00:01:58,120 Speaker 1: it is under those circumstances, to me, shows you that 34 00:01:58,160 --> 00:02:02,720 Speaker 1: Donald Trump has far more to do in terms of 35 00:02:02,760 --> 00:02:04,960 Speaker 1: the movement. Whether he ends up with four more years 36 00:02:05,000 --> 00:02:08,560 Speaker 1: or not, There's going to be a whole shift in 37 00:02:08,600 --> 00:02:11,680 Speaker 1: the Republican Party that has been occurring for four years. 38 00:02:11,680 --> 00:02:15,600 Speaker 1: But now I think, in a sense it's solidified that 39 00:02:15,639 --> 00:02:19,600 Speaker 1: the Trump coalition of the future on the right of 40 00:02:19,639 --> 00:02:25,320 Speaker 1: a populist conservatism is here to stay. It also is 41 00:02:25,320 --> 00:02:29,119 Speaker 1: a repute, It is a repudiation of the elite consensus 42 00:02:29,160 --> 00:02:32,760 Speaker 1: that Donald Trump was going to just get destroyed, especially 43 00:02:32,760 --> 00:02:36,600 Speaker 1: in certain communities, that Donald Trump was going to be 44 00:02:37,160 --> 00:02:39,799 Speaker 1: run out of DC immediately the first chance the American 45 00:02:39,840 --> 00:02:42,760 Speaker 1: people got no, not at all. In fact, we know 46 00:02:42,880 --> 00:02:46,960 Speaker 1: that Trump has won Ohio, that he has won Florida, 47 00:02:47,040 --> 00:02:52,480 Speaker 1: that he has kept on the Republican side, basically all 48 00:02:52,600 --> 00:02:55,440 Speaker 1: of the major red states. I know there's Arizona out 49 00:02:55,480 --> 00:02:57,640 Speaker 1: there too, but all of the major large red states 50 00:02:57,639 --> 00:03:01,880 Speaker 1: that he was expected to win and has already taken 51 00:03:01,960 --> 00:03:07,920 Speaker 1: victory in some critical battleground states. The big story that 52 00:03:08,000 --> 00:03:12,240 Speaker 1: immediately became clear on election night was how much the 53 00:03:12,360 --> 00:03:19,560 Speaker 1: pollsters were just catastrophically wrong. I mean not not wrong 54 00:03:20,400 --> 00:03:25,040 Speaker 1: by a little bit, wrong by a lot. You got 55 00:03:25,040 --> 00:03:30,280 Speaker 1: Ohio up seven, you got Wisconsin up six, you got 56 00:03:30,280 --> 00:03:35,520 Speaker 1: Iowa up six for Trump. Those are all the averages 57 00:03:35,640 --> 00:03:39,320 Speaker 1: of polls in the from Real Clear Politics. So what 58 00:03:39,360 --> 00:03:41,240 Speaker 1: I mean here is that when you averaged out all 59 00:03:41,280 --> 00:03:45,800 Speaker 1: the polls for Ohio on Real Clear Politics, and that's 60 00:03:45,880 --> 00:03:48,760 Speaker 1: I think a very useful snapshot. It's effectively almost like 61 00:03:48,760 --> 00:03:50,960 Speaker 1: a poll of polls, an average of polls. Right, You're 62 00:03:51,040 --> 00:03:55,120 Speaker 1: you're seeing what the data, what the data is telling you. 63 00:03:55,160 --> 00:04:00,440 Speaker 1: In the aggregate, Trump beat that average of polls by 64 00:04:00,480 --> 00:04:05,640 Speaker 1: seven points in Ohio. That's massive, Right, If I told 65 00:04:05,680 --> 00:04:08,120 Speaker 1: you that you had to you had to make a 66 00:04:08,120 --> 00:04:11,280 Speaker 1: prediction off the top of your head about what the 67 00:04:11,400 --> 00:04:16,600 Speaker 1: final what the final percentage vote count would be in Florida. 68 00:04:16,640 --> 00:04:19,719 Speaker 1: And I said, but you need to be within seven points. 69 00:04:21,120 --> 00:04:23,839 Speaker 1: The chance of you getting it right is very high. 70 00:04:23,880 --> 00:04:26,240 Speaker 1: And that's another way of saying, what the heck do 71 00:04:26,400 --> 00:04:30,000 Speaker 1: pollsters know that any of us didn't just know intuitively? 72 00:04:30,000 --> 00:04:32,279 Speaker 1: In fact, they're more wrong than many of us would 73 00:04:32,279 --> 00:04:35,880 Speaker 1: have been by just thinking about what we know registration 74 00:04:35,920 --> 00:04:39,800 Speaker 1: wise in these states and what the political momentum is 75 00:04:39,839 --> 00:04:44,760 Speaker 1: telling us. Unbelievable, Trump up four point five in Florida 76 00:04:44,880 --> 00:04:48,839 Speaker 1: according to Real Clear Politics average, up five points in Texas. 77 00:04:50,960 --> 00:04:56,719 Speaker 1: This is the polling community is just like the journalism community. Friends, 78 00:04:56,760 --> 00:04:58,920 Speaker 1: that's what we saw. And I was telling you, I've 79 00:04:58,920 --> 00:05:02,400 Speaker 1: been saying this publicly for a while. This is a 80 00:05:02,640 --> 00:05:07,560 Speaker 1: really serious problem because polling is used not only to 81 00:05:07,600 --> 00:05:11,320 Speaker 1: give you a snapshot of perception, but to drive perception. 82 00:05:12,080 --> 00:05:15,640 Speaker 1: It's meant to tell people what other people think, and 83 00:05:15,920 --> 00:05:21,440 Speaker 1: that has the attendant causation of making people want to 84 00:05:21,520 --> 00:05:24,800 Speaker 1: agree with what the consensus position is. Right. If you 85 00:05:24,839 --> 00:05:28,640 Speaker 1: find that eighty percent of people favor common sense restrictions 86 00:05:28,680 --> 00:05:31,800 Speaker 1: on gun control, for example, Well, that number gets out 87 00:05:31,800 --> 00:05:33,960 Speaker 1: there and people start to say, well, I want to 88 00:05:33,960 --> 00:05:36,120 Speaker 1: be part of the eighty percent that favors it, right, 89 00:05:36,600 --> 00:05:38,760 Speaker 1: And in an election, it couldn't be anymore clear. If 90 00:05:38,760 --> 00:05:44,200 Speaker 1: you hear that in your home state, bidens up eight points, 91 00:05:44,680 --> 00:05:48,680 Speaker 1: twelve points, seventeen points, they were saying last week in Wisconsin, 92 00:05:49,040 --> 00:05:53,160 Speaker 1: which was laughable. Trump outperformed the average of poles in 93 00:05:53,200 --> 00:05:55,880 Speaker 1: Wisconsin on election night by at least six And we'll 94 00:05:55,920 --> 00:05:58,599 Speaker 1: see what the final tally is. But are you going 95 00:05:58,640 --> 00:06:00,720 Speaker 1: to wait in line for an hour? Are you even 96 00:06:00,800 --> 00:06:02,400 Speaker 1: going to think about showing up for the election. You're 97 00:06:02,400 --> 00:06:05,040 Speaker 1: gonna lose by almost twenty points. Look, I voted in 98 00:06:05,040 --> 00:06:08,200 Speaker 1: New York, so New York was never going to be 99 00:06:08,240 --> 00:06:12,240 Speaker 1: a place that Trump managed to flip. But I can 100 00:06:12,320 --> 00:06:15,440 Speaker 1: understand how that would affect people's perception. So pollsters now 101 00:06:15,560 --> 00:06:20,400 Speaker 1: joined journalists and fact checkers as professions that have been 102 00:06:20,520 --> 00:06:24,360 Speaker 1: tainted by bias, and that no person should just take 103 00:06:24,400 --> 00:06:27,240 Speaker 1: at face value anymore. Right fact checkers and people said, 104 00:06:27,240 --> 00:06:28,960 Speaker 1: oh buck, you don't believe in facts. Know what I'm 105 00:06:29,000 --> 00:06:32,479 Speaker 1: saying is what's obvious that these fact checking organizations that 106 00:06:32,520 --> 00:06:35,440 Speaker 1: pop up are really just journalists who then take they 107 00:06:35,440 --> 00:06:37,720 Speaker 1: put on their fact checker hat and they do these 108 00:06:37,800 --> 00:06:40,680 Speaker 1: laughable things where it's, you know, mostly true. Yes, what 109 00:06:40,720 --> 00:06:44,400 Speaker 1: Trump said is absolutely factually accurate, Comma, but Orange Man bad, 110 00:06:44,440 --> 00:06:46,159 Speaker 1: so we're going to give it a mostly true rating 111 00:06:46,200 --> 00:06:49,799 Speaker 1: instead of just true, you know. And they obviously skew 112 00:06:49,880 --> 00:06:54,800 Speaker 1: things on the other side as well. But the absence 113 00:06:55,040 --> 00:06:59,080 Speaker 1: of a repudiation of trump Ism is a major story 114 00:06:59,200 --> 00:07:03,039 Speaker 1: of the election, and already without even knowing the final outcome. 115 00:07:03,120 --> 00:07:07,760 Speaker 1: That's big because the way the media had gone all 116 00:07:07,839 --> 00:07:11,440 Speaker 1: out to destroy Trump in this election cycle. I was 117 00:07:11,480 --> 00:07:13,440 Speaker 1: walking on the streets of Manhattan yesterday. There was a 118 00:07:13,440 --> 00:07:17,640 Speaker 1: truck that drove by me with billboards flat out saying 119 00:07:18,320 --> 00:07:24,640 Speaker 1: with very with photos chosen of Jared and Ivanka meant 120 00:07:24,680 --> 00:07:27,840 Speaker 1: to make them seem like the most out of touch, 121 00:07:28,480 --> 00:07:35,080 Speaker 1: you know, elitist, snobbyist inhuman really, because they were saying 122 00:07:35,120 --> 00:07:37,440 Speaker 1: that it's New York's problem that a lot of people 123 00:07:37,440 --> 00:07:39,400 Speaker 1: have died of COVID. It was like the COVID death 124 00:07:39,480 --> 00:07:42,560 Speaker 1: number and Ivanka smiling and looking at I mean, it's horrible, 125 00:07:43,360 --> 00:07:48,360 Speaker 1: evil propaganda, just wrong, just wrong. They did everything they 126 00:07:48,400 --> 00:07:53,600 Speaker 1: could to make this an absolute walloping of Trump. They 127 00:07:53,640 --> 00:07:56,920 Speaker 1: tried every trick in the book. The polls were meant 128 00:07:56,960 --> 00:08:00,280 Speaker 1: to suppress the Republican vote that much as obvious at 129 00:08:00,280 --> 00:08:03,040 Speaker 1: this point, and to create a perception of Biden as 130 00:08:03,040 --> 00:08:05,720 Speaker 1: the inevitable candidate, just like they try to create a 131 00:08:05,720 --> 00:08:08,920 Speaker 1: perception of Hillary as as an inevitable candidate. It's not 132 00:08:09,120 --> 00:08:14,040 Speaker 1: possible to explain all of the skewed polls in favor 133 00:08:15,000 --> 00:08:19,040 Speaker 1: of Joe Biden without any polls that seem really to 134 00:08:19,080 --> 00:08:23,200 Speaker 1: favor Donald Trump into a similar degree. I mean, Arizona, 135 00:08:23,320 --> 00:08:26,760 Speaker 1: maybe two parts, that's two points. That's margin of ara stuff, right, 136 00:08:26,800 --> 00:08:29,520 Speaker 1: I mean within a point or two fine, eight points, 137 00:08:30,520 --> 00:08:36,280 Speaker 1: ten points. This is crazy. Nowhere was Donald Trump overestimated 138 00:08:36,320 --> 00:08:38,839 Speaker 1: in the same way that Joe Biden's support was overestimated. 139 00:08:38,880 --> 00:08:41,640 Speaker 1: And it was systematic and it was clear. So that's 140 00:08:41,640 --> 00:08:45,760 Speaker 1: a big takeaway. Another big takeaway, looks like Donald Trump, 141 00:08:45,760 --> 00:08:48,920 Speaker 1: based on the exit polling I've seen so far, may 142 00:08:49,000 --> 00:08:56,400 Speaker 1: have dramatically outperformed usual GOP expectations with the African American 143 00:08:56,400 --> 00:09:00,880 Speaker 1: community and with the Latino community. And first things first, 144 00:09:00,679 --> 00:09:02,560 Speaker 1: I want to say for those in both those communities 145 00:09:02,559 --> 00:09:05,240 Speaker 1: who voted for Trump, I just want to say, welcome, 146 00:09:05,960 --> 00:09:09,840 Speaker 1: great to have you on the Trump team. Honored to 147 00:09:09,960 --> 00:09:13,800 Speaker 1: be a shoulder to shoulder with you against the crazy Libs. 148 00:09:14,120 --> 00:09:18,160 Speaker 1: And as for what this does to the narrative, one 149 00:09:18,160 --> 00:09:21,280 Speaker 1: of the primary objections we hear against Donald Trump, I mean, 150 00:09:21,280 --> 00:09:22,960 Speaker 1: the two I think you can point to the most 151 00:09:22,960 --> 00:09:25,880 Speaker 1: in this election cycle. One of them would be that 152 00:09:25,960 --> 00:09:31,520 Speaker 1: Donald Trump mishandled COVID so badly that he's essentially responsible 153 00:09:32,200 --> 00:09:37,080 Speaker 1: for all of the COVID deaths out there, right, for 154 00:09:37,400 --> 00:09:41,480 Speaker 1: all of the COVID death which is just outrageous. I mean, 155 00:09:41,480 --> 00:09:47,720 Speaker 1: that's an intellectually and morally unsupportable claim. But then on 156 00:09:47,760 --> 00:09:52,760 Speaker 1: the other side, you have or you know, alongside that, 157 00:09:52,800 --> 00:09:56,080 Speaker 1: I should say, you also have Donald Trump as this 158 00:09:56,280 --> 00:10:00,760 Speaker 1: evil racist, right so on COVID. Seems like a lot 159 00:10:00,800 --> 00:10:03,440 Speaker 1: of people were thinking who will do a better job 160 00:10:03,440 --> 00:10:06,280 Speaker 1: with the economy in twenty twenty one and not believing 161 00:10:06,880 --> 00:10:11,199 Speaker 1: this anti Trump line about about how he's responsible for 162 00:10:11,240 --> 00:10:16,800 Speaker 1: all the COVID deaths. On the minority vote side, Trump 163 00:10:16,920 --> 00:10:19,199 Speaker 1: is an evil racist, is what we are told all 164 00:10:19,600 --> 00:10:22,239 Speaker 1: the time. They lie about what he said in Charlottesville, 165 00:10:23,000 --> 00:10:27,440 Speaker 1: They lie about what he said about illegal immigrants crossing 166 00:10:27,440 --> 00:10:30,600 Speaker 1: the border and MS thirteen, and they lie about these things, 167 00:10:31,360 --> 00:10:34,199 Speaker 1: but it's been very effective. It's created a broad perception, 168 00:10:34,480 --> 00:10:37,600 Speaker 1: and it's tough to blame people when they think they're 169 00:10:37,640 --> 00:10:39,800 Speaker 1: supposed to be able to rely on the media, and 170 00:10:39,840 --> 00:10:43,520 Speaker 1: the media says Trump said a certain thing about Charlottesville 171 00:10:43,520 --> 00:10:47,440 Speaker 1: that he did not say, and you know, they believe it. 172 00:10:47,600 --> 00:10:50,520 Speaker 1: And I understand how that can be a challenge for 173 00:10:50,559 --> 00:10:51,800 Speaker 1: a lot of folks. You know, they don't want to 174 00:10:51,800 --> 00:10:56,120 Speaker 1: live their lives sifting through the lies of the mainstream media. 175 00:10:57,120 --> 00:11:02,160 Speaker 1: But here's what we see. Not only did Trump manage 176 00:11:02,240 --> 00:11:04,360 Speaker 1: a very no matter what happens at this point, it 177 00:11:04,520 --> 00:11:08,000 Speaker 1: was it was a strong showing for the president in 178 00:11:08,240 --> 00:11:12,640 Speaker 1: key places in an election, in election that is completely 179 00:11:12,880 --> 00:11:15,920 Speaker 1: undermined by the COVID pandemic this year and in so 180 00:11:15,960 --> 00:11:21,040 Speaker 1: many ways, but that he outperformed expectations not just of 181 00:11:21,080 --> 00:11:24,120 Speaker 1: what he would do, but of what the GOP normally 182 00:11:24,160 --> 00:11:29,160 Speaker 1: does with the African American community. There's something here that 183 00:11:29,280 --> 00:11:32,160 Speaker 1: he outperformed with the Latino community as well. There's something 184 00:11:32,240 --> 00:11:35,800 Speaker 1: going on right now. And just the same way that 185 00:11:35,840 --> 00:11:39,640 Speaker 1: the media missed Trump's rise and his win in twenty sixteen, 186 00:11:40,160 --> 00:11:43,800 Speaker 1: they're missing a shift that's occurring on the right that 187 00:11:43,960 --> 00:11:50,880 Speaker 1: is incorporating of these new minority voters into an expanding 188 00:11:50,960 --> 00:11:55,960 Speaker 1: GOP tent that could be really the future of the 189 00:11:55,960 --> 00:12:02,120 Speaker 1: Republican Party, a Republicanism that is rooted in a sort 190 00:12:02,160 --> 00:12:07,200 Speaker 1: of traditional Christian base, you know, Christian Judeo Christian values base, 191 00:12:08,120 --> 00:12:10,440 Speaker 1: and adding into that, and I know that a lot 192 00:12:10,440 --> 00:12:13,720 Speaker 1: of people in the black and Hispanic community would also 193 00:12:13,840 --> 00:12:16,200 Speaker 1: fall fall in that category. But then adding into that 194 00:12:17,200 --> 00:12:23,400 Speaker 1: a multi racial working class coalition within the GOP, you know, 195 00:12:23,800 --> 00:12:30,160 Speaker 1: aspiring Latino business owners, uh, you know, skilled African American laborers, 196 00:12:30,679 --> 00:12:32,640 Speaker 1: you know who are who are working a job and 197 00:12:32,679 --> 00:12:35,319 Speaker 1: realize that you know, they're going to get ahead more 198 00:12:35,360 --> 00:12:39,600 Speaker 1: with less regulation, less taxation, that socialism is not going 199 00:12:39,640 --> 00:12:42,680 Speaker 1: to make their lives better. If if that this look, 200 00:12:42,720 --> 00:12:44,400 Speaker 1: this is just the beginning of this. This is just 201 00:12:44,440 --> 00:12:46,880 Speaker 1: the crack in the dam in a sense of what 202 00:12:47,000 --> 00:12:50,679 Speaker 1: could be coming. And also maybe the dam holds right, 203 00:12:50,720 --> 00:12:54,000 Speaker 1: But this would be a game changer from within the 204 00:12:54,080 --> 00:12:58,200 Speaker 1: GOP if this trend can be expanded upon, and it 205 00:12:58,320 --> 00:13:04,240 Speaker 1: is a nightmare for Democrats without without identity politics and 206 00:13:04,320 --> 00:13:07,880 Speaker 1: without being able to count on over ninety percent of 207 00:13:07,920 --> 00:13:11,880 Speaker 1: black voters consistently going for Democrats. They got big problems. 208 00:13:12,559 --> 00:13:14,800 Speaker 1: They've got very big problems. And the more people that 209 00:13:15,400 --> 00:13:18,880 Speaker 1: come to the recognition that the Democrat Party and certainly 210 00:13:18,920 --> 00:13:23,120 Speaker 1: the left wing national media caters to the cultural and 211 00:13:23,200 --> 00:13:29,079 Speaker 1: political interests of Brooklyn hipsters with you know, jobs in 212 00:13:29,120 --> 00:13:31,320 Speaker 1: some field that who knows how long it's even really 213 00:13:31,360 --> 00:13:33,199 Speaker 1: going to be around or be steady employment for them, 214 00:13:33,320 --> 00:13:35,640 Speaker 1: the more people realize that that's at the heart and 215 00:13:35,679 --> 00:13:40,880 Speaker 1: at the center the college educated, white liberal voter of 216 00:13:40,920 --> 00:13:43,200 Speaker 1: what so much of the Democrat Party's actually doing, and 217 00:13:43,400 --> 00:13:48,240 Speaker 1: that minorities are in many ways and afterthought that the 218 00:13:48,280 --> 00:13:50,720 Speaker 1: Democrat Party has taken for granted. The more of that 219 00:13:50,720 --> 00:13:54,360 Speaker 1: that can happen, the better for the GOP. Right, the 220 00:13:54,400 --> 00:13:58,720 Speaker 1: more that perception changes, the better off the GOP will be. 221 00:13:58,800 --> 00:14:00,600 Speaker 1: And I think it's it's a very very good thing. 222 00:14:00,880 --> 00:14:03,080 Speaker 1: So Democrats are worried about that, and they should be. 223 00:14:04,440 --> 00:14:08,679 Speaker 1: But now we have to think about this trench warfare 224 00:14:08,760 --> 00:14:12,480 Speaker 1: that's that's underway as we speak. What did we hear 225 00:14:12,640 --> 00:14:17,280 Speaker 1: on the first night of this election battle, which it 226 00:14:17,280 --> 00:14:19,760 Speaker 1: should be over right, it's election night, but it's really 227 00:14:19,800 --> 00:14:22,640 Speaker 1: just the first one. What do we hear about it, 228 00:14:22,680 --> 00:14:25,240 Speaker 1: and what are the concerns and how is this fight 229 00:14:25,760 --> 00:14:28,760 Speaker 1: going to play out? Now? Thanks for listening to the 230 00:14:28,920 --> 00:14:32,120 Speaker 1: Best of Buck Daily podcast. Get more from Buck by 231 00:14:32,200 --> 00:14:36,040 Speaker 1: following him on social media at Buck Sexton on Facebook, Twitter, 232 00:14:36,080 --> 00:14:41,160 Speaker 1: and Instagram, and don't forget to visit buck Sexton dot com. Well, 233 00:14:41,160 --> 00:14:43,840 Speaker 1: it was only a matter of time, friends. But to 234 00:14:43,880 --> 00:14:49,360 Speaker 1: give you a sense of how ugly this ballot counting exercise, remember, Stalin, 235 00:14:49,440 --> 00:14:51,800 Speaker 1: it's not who counts, it's not who cast the votes, 236 00:14:51,840 --> 00:14:54,720 Speaker 1: it's who counts the ballots. It's gonna be a lot 237 00:14:54,760 --> 00:14:57,360 Speaker 1: to talk about that in the next few days to 238 00:14:57,440 --> 00:14:58,880 Speaker 1: give you a sense of just how ugly it is. 239 00:14:58,960 --> 00:15:05,560 Speaker 1: Yours truly, who is usually a guy who stays within 240 00:15:05,600 --> 00:15:08,520 Speaker 1: the lines. I mostly play by the rules. I'd say. 241 00:15:08,920 --> 00:15:12,720 Speaker 1: For the first time, I've had a tweet band on Twitter, 242 00:15:13,440 --> 00:15:15,400 Speaker 1: and I knew this was going to happen at some point. 243 00:15:15,440 --> 00:15:18,240 Speaker 1: And what's amazing is that it's a It's a tweet 244 00:15:18,280 --> 00:15:21,960 Speaker 1: about what I think will happen. It's not it is 245 00:15:22,280 --> 00:15:26,120 Speaker 1: It is not possible to claim that this is false 246 00:15:26,200 --> 00:15:29,800 Speaker 1: because it's like me saying, oh, next week, you know, 247 00:15:29,960 --> 00:15:34,600 Speaker 1: Joe Schmo is going to win his congressional election that's 248 00:15:34,640 --> 00:15:37,400 Speaker 1: delayed or something. Right, I mean, it's me saying what 249 00:15:37,440 --> 00:15:41,320 Speaker 1: I think is going to happen. Well, I mean, part 250 00:15:41,320 --> 00:15:43,240 Speaker 1: of this is factual, but the important part of it 251 00:15:43,320 --> 00:15:45,360 Speaker 1: is what I think is going to happen. I tweeted out, 252 00:15:46,440 --> 00:15:50,560 Speaker 1: notice how all the ballot counting shenanigans are happening in 253 00:15:50,640 --> 00:15:55,960 Speaker 1: Democrats strongholds, which is true in states Democrats were behind 254 00:15:56,000 --> 00:15:59,560 Speaker 1: in last night and desperately need to win. These are facts, Okay, 255 00:15:59,720 --> 00:16:03,520 Speaker 1: In Georgia, there was a pipe that burst that stopped 256 00:16:03,560 --> 00:16:08,240 Speaker 1: the ballot counting in You know, there's there's graphics that show, 257 00:16:08,640 --> 00:16:10,800 Speaker 1: all of a sudden in Michigan, over the course of 258 00:16:10,840 --> 00:16:14,120 Speaker 1: the night, two hundred thousand votes just got added to 259 00:16:14,160 --> 00:16:16,280 Speaker 1: the Biden total, with not a single vote added to 260 00:16:16,320 --> 00:16:20,760 Speaker 1: the Trump total. I mean, there's weird stuff. There's weird 261 00:16:20,840 --> 00:16:24,840 Speaker 1: stuff happening here. And so I tweeted out, notice how 262 00:16:24,880 --> 00:16:29,400 Speaker 1: all of the notice how all of the ballot counting 263 00:16:29,440 --> 00:16:32,680 Speaker 1: shenanigans are happening in Democrats strongholds in states Democrats were 264 00:16:32,680 --> 00:16:35,360 Speaker 1: behind him last night and desperately need to win. You're 265 00:16:35,440 --> 00:16:39,640 Speaker 1: going to hear a lot of Wow, we just found 266 00:16:39,720 --> 00:16:43,240 Speaker 1: five thousand more Biden votes in this dumpster over the 267 00:16:43,280 --> 00:16:47,400 Speaker 1: next forty eight hours. First of all, that's funny. Okay. 268 00:16:47,400 --> 00:16:50,040 Speaker 1: First of all, let's start with it's it's kind of 269 00:16:50,040 --> 00:16:53,960 Speaker 1: a joke a little bit. It's obviously meant to be something, 270 00:16:53,960 --> 00:16:56,560 Speaker 1: well exaggeration. I don't even know if I would call 271 00:16:56,600 --> 00:16:58,360 Speaker 1: it that. It's definitely a joke, but it's also true. 272 00:16:58,760 --> 00:17:03,000 Speaker 1: This has happened before. Friends in the Al Frankin too bad, 273 00:17:03,200 --> 00:17:06,399 Speaker 1: in the Al Frankin Norm Coleman Senate race, which was 274 00:17:06,440 --> 00:17:09,880 Speaker 1: determined by I think it was hundreds, maybe a few 275 00:17:09,920 --> 00:17:12,520 Speaker 1: thousand votes for a Senate seat. It's a big deal. 276 00:17:13,200 --> 00:17:16,080 Speaker 1: They suddenly we're finding a lot of uncounted ballots in 277 00:17:16,119 --> 00:17:18,879 Speaker 1: the trunks of cars or they're fight They would find 278 00:17:18,920 --> 00:17:22,560 Speaker 1: these ballots overwhelmingly, if not entirely for Al frank In. 279 00:17:22,600 --> 00:17:26,199 Speaker 1: The Democrat and Republicans just sort of said, oh, we 280 00:17:26,200 --> 00:17:30,600 Speaker 1: don't want to interfere in the process. How is it 281 00:17:30,640 --> 00:17:33,360 Speaker 1: that my tweet, You're gonna hear a lot of wow. 282 00:17:33,600 --> 00:17:36,439 Speaker 1: You're going to hear a lot of wow. We just 283 00:17:36,520 --> 00:17:39,159 Speaker 1: found five thousand more Biden votes in this dumpster. Over 284 00:17:39,160 --> 00:17:43,439 Speaker 1: the next forty eight hours, flagged and blocked on Twitter. 285 00:17:44,080 --> 00:17:47,240 Speaker 1: Twitter is a left wing dumpster fire, and now people 286 00:17:47,280 --> 00:17:49,240 Speaker 1: are gonna say buck, just stop using it. I'm already 287 00:17:49,240 --> 00:17:51,280 Speaker 1: on Parlor, I'm already on Rumble, and we're gonna be 288 00:17:51,359 --> 00:17:54,480 Speaker 1: using those platforms more. But it's a little bit like 289 00:17:54,560 --> 00:17:56,640 Speaker 1: back in the day when as a conservative you could 290 00:17:56,680 --> 00:17:59,320 Speaker 1: still go on CNN, or even now as a conservative 291 00:17:59,359 --> 00:18:02,440 Speaker 1: you can still go like the Bill mar Show. You 292 00:18:02,040 --> 00:18:04,960 Speaker 1: got you gotta fight in their arenas too. You don't 293 00:18:04,960 --> 00:18:07,359 Speaker 1: want to give that space up to the other side. 294 00:18:07,920 --> 00:18:09,760 Speaker 1: But that's not to say that I think it's fair 295 00:18:09,920 --> 00:18:13,800 Speaker 1: or it's right, or what's going on there is representative 296 00:18:13,840 --> 00:18:17,080 Speaker 1: of how the conversation should be. But I mean, this 297 00:18:17,200 --> 00:18:22,720 Speaker 1: is just amazing. I cannot believe it's five thousand more 298 00:18:22,840 --> 00:18:25,000 Speaker 1: Biden votes in this dumps over the next forty eight hours. 299 00:18:25,119 --> 00:18:28,840 Speaker 1: How can that be flagged as misleading? Are they going 300 00:18:28,920 --> 00:18:31,160 Speaker 1: to send me an apology, because here's here's a little, 301 00:18:31,200 --> 00:18:33,719 Speaker 1: a little prediction for you. They are gonna find they 302 00:18:33,720 --> 00:18:38,760 Speaker 1: are gonna find stashes of votes in Philadelphia, and they 303 00:18:38,800 --> 00:18:45,080 Speaker 1: are going to be surprisingly Probiden in the makeup. Right, 304 00:18:45,119 --> 00:18:48,800 Speaker 1: I think that's fair And if I'm wrong, well then 305 00:18:48,840 --> 00:18:51,080 Speaker 1: I was wrong. But it's a prediction. Twitter is straight 306 00:18:51,160 --> 00:18:56,000 Speaker 1: up blocking it. Twitter is suppressing me trying to get 307 00:18:56,040 --> 00:18:58,960 Speaker 1: the word out about the observations that just as a 308 00:18:59,000 --> 00:19:01,760 Speaker 1: person who's paying those attention to this election is making 309 00:19:01,800 --> 00:19:06,800 Speaker 1: in real time. The President of the United States last night, 310 00:19:07,480 --> 00:19:11,160 Speaker 1: during his statement on this, made it very clear that 311 00:19:11,359 --> 00:19:17,639 Speaker 1: he thinks it's weird. He thinks it's problematic. What is 312 00:19:17,680 --> 00:19:20,159 Speaker 1: going on where it looked like he was gonna win. 313 00:19:20,200 --> 00:19:22,320 Speaker 1: I mean, I you know, I was on air with 314 00:19:22,400 --> 00:19:24,720 Speaker 1: my friend Jesse Kelly. It looked like he was gonna win, 315 00:19:25,840 --> 00:19:29,040 Speaker 1: and I kept saying, no, we don't know, we don't know. 316 00:19:29,960 --> 00:19:31,480 Speaker 1: But in the back of my mind, I was thinking, 317 00:19:31,520 --> 00:19:33,280 Speaker 1: it's looking pretty good. And then all of a sudden, 318 00:19:33,280 --> 00:19:35,720 Speaker 1: it's yeah, we're just gonna stop counting ballots in these places. 319 00:19:35,760 --> 00:19:38,520 Speaker 1: It's not gonna know for a few days. Gotta see 320 00:19:38,520 --> 00:19:41,640 Speaker 1: where all this heads. I'm just gonna say this, dude, 321 00:19:41,640 --> 00:19:44,080 Speaker 1: we gotta have a we gotta have a better election 322 00:19:44,960 --> 00:19:47,480 Speaker 1: counting process than what we've got right now. We've got 323 00:19:47,480 --> 00:19:50,960 Speaker 1: to figure this out. This can't be. We have advanced 324 00:19:50,960 --> 00:19:55,040 Speaker 1: technologically a lot, and we should be able to get 325 00:19:55,080 --> 00:20:00,000 Speaker 1: this stuff so that it's just incontrovertible. It's it's instantaneous, 326 00:20:00,000 --> 00:20:02,639 Speaker 1: it's all together. You know that they need to adjust, 327 00:20:02,720 --> 00:20:04,520 Speaker 1: They need to adjust the way this whole process has done. 328 00:20:04,520 --> 00:20:09,880 Speaker 1: But anyway, that's that's what I think is a part 329 00:20:09,880 --> 00:20:11,880 Speaker 1: of the takeaway of this. But here's the president saying 330 00:20:11,920 --> 00:20:14,720 Speaker 1: that it's it could go all the way up to 331 00:20:14,760 --> 00:20:17,960 Speaker 1: the Supreme Court. I mean he was flagged by Twitter 332 00:20:18,040 --> 00:20:22,240 Speaker 1: last I mean, Twitter is suppressing information right now that 333 00:20:22,359 --> 00:20:26,560 Speaker 1: doesn't look good for Democrats. That's what's actually happening. Play eighteen. 334 00:20:27,840 --> 00:20:31,919 Speaker 1: This is a fraud on the American public. This is 335 00:20:31,960 --> 00:20:37,080 Speaker 1: an embarrassment to our country. We were getting ready to 336 00:20:37,119 --> 00:20:43,520 Speaker 1: win this election. Frankly, we did win this election. So 337 00:20:43,600 --> 00:20:48,119 Speaker 1: our goal now is to ensure the integrity for the 338 00:20:48,119 --> 00:20:50,399 Speaker 1: good of this nation. This is a very big moment. 339 00:20:51,359 --> 00:20:54,960 Speaker 1: This is a major fraud in our nation. We want 340 00:20:55,920 --> 00:20:59,280 Speaker 1: the law to be used in a proper manner, so 341 00:20:59,440 --> 00:21:03,520 Speaker 1: we'll be going to the US Supreme Court. We want 342 00:21:03,600 --> 00:21:07,879 Speaker 1: all voting to stop. We don't want them to find 343 00:21:07,960 --> 00:21:11,359 Speaker 1: any ballots at four o'clock in the morning and add 344 00:21:11,359 --> 00:21:17,320 Speaker 1: them to the list. Okay, it's a very sad It's 345 00:21:17,320 --> 00:21:19,320 Speaker 1: a very sad moment to me. This is a very 346 00:21:19,320 --> 00:21:23,040 Speaker 1: sad moment and we will win this, and as far 347 00:21:23,080 --> 00:21:26,080 Speaker 1: as I'm concerned, we already have one. Is that going 348 00:21:26,160 --> 00:21:28,840 Speaker 1: to be suppressed by social media platforms too? I'm sure 349 00:21:28,880 --> 00:21:31,120 Speaker 1: it will if it's not already as I talk to you, 350 00:21:31,480 --> 00:21:34,560 Speaker 1: What did I say that there? The actual sitting president 351 00:21:34,600 --> 00:21:36,800 Speaker 1: of the United States is not saying, Oh, but I'm 352 00:21:36,800 --> 00:21:39,600 Speaker 1: not allowed to say that because it's disputed information about 353 00:21:39,600 --> 00:21:42,720 Speaker 1: the election. How can you dispute me saying guys, be 354 00:21:42,760 --> 00:21:45,520 Speaker 1: on the lookout for this bad thing happening. I'm I 355 00:21:45,560 --> 00:21:50,119 Speaker 1: didn't say it had happened. It is wrong. It is 356 00:21:50,160 --> 00:21:54,080 Speaker 1: simply wrong to do what these tech giants are doing 357 00:21:54,200 --> 00:21:57,720 Speaker 1: right now. They are trying to steal this thing for 358 00:21:58,000 --> 00:22:01,159 Speaker 1: Joe Biden. Look at the nations. That's all you have 359 00:22:01,200 --> 00:22:05,040 Speaker 1: to do. There was this incredible graphic that was making 360 00:22:05,040 --> 00:22:09,040 Speaker 1: the rounds yesterday based on donations to Biden or Trump, 361 00:22:09,359 --> 00:22:15,000 Speaker 1: showing you know what the separation within certain professions, how 362 00:22:15,080 --> 00:22:19,639 Speaker 1: overwhelmingly one sided they were in their donations, and what 363 00:22:19,800 --> 00:22:22,240 Speaker 1: a big portion of the donations they actually were too. 364 00:22:22,320 --> 00:22:25,800 Speaker 1: Was a great visualization, and there should be no surprise 365 00:22:25,880 --> 00:22:28,720 Speaker 1: here at all. Who do you think are the big 366 00:22:29,040 --> 00:22:34,720 Speaker 1: Biden donors out there by professional class. All the universities, right, 367 00:22:34,880 --> 00:22:39,600 Speaker 1: universities are just overrun with leftists and people that are 368 00:22:39,600 --> 00:22:43,280 Speaker 1: carrying water for the Democrat Party on the pathway, of course, 369 00:22:43,320 --> 00:22:45,880 Speaker 1: to turning this country into a socialist dystopia if they can. 370 00:22:46,400 --> 00:22:51,320 Speaker 1: And you also add into that psychiatrists always told you 371 00:22:51,440 --> 00:22:59,280 Speaker 1: superlib very left wing social workers, bureaucrats, government employees, lawyers. 372 00:22:59,480 --> 00:23:02,800 Speaker 1: I've in callowing you the legal profession overrun by the 373 00:23:02,880 --> 00:23:05,560 Speaker 1: left now too. Not all lawyers. I got some great 374 00:23:05,560 --> 00:23:10,359 Speaker 1: friends who are conservatives, who are excellent lawyers, but big, 375 00:23:10,960 --> 00:23:14,040 Speaker 1: you know, big donations from the legal profession going to Biden, 376 00:23:14,440 --> 00:23:17,639 Speaker 1: and most of them going to Biden by far. Wall 377 00:23:17,680 --> 00:23:20,400 Speaker 1: Street Democrats don't want to talk about that. Wall Street 378 00:23:20,440 --> 00:23:22,880 Speaker 1: money goes to Joe Biden. A lot of the big 379 00:23:22,920 --> 00:23:28,080 Speaker 1: corporation money goes to Joe Biden. Here. Effectively, the establishment, 380 00:23:28,160 --> 00:23:31,439 Speaker 1: the wealthy and powerful establishment in this country donate their 381 00:23:31,480 --> 00:23:37,520 Speaker 1: money to Joe Biden. That's what actually happens. And Tech, Google, Facebook, 382 00:23:38,160 --> 00:23:43,000 Speaker 1: they're they're essentially they're essentially parts of the d n C. 383 00:23:43,600 --> 00:23:48,960 Speaker 1: I mean they they are working overtime to try to 384 00:23:48,960 --> 00:23:51,520 Speaker 1: make sure that that Donald Trump loses this election and 385 00:23:51,600 --> 00:23:54,120 Speaker 1: that Joe Biden ends up winning it, and they may succeed. 386 00:23:54,160 --> 00:23:55,439 Speaker 1: I'm not gonna lie to you. I mean, this thing 387 00:23:55,520 --> 00:23:57,880 Speaker 1: is far from a done deal. But when you look 388 00:23:57,880 --> 00:24:00,760 Speaker 1: at who on the who don't Joe by I mean 389 00:24:00,760 --> 00:24:04,000 Speaker 1: to a Donald Trump, who on the right profession wise, 390 00:24:04,119 --> 00:24:06,119 Speaker 1: it's exactly what you would think. I was so happy 391 00:24:06,160 --> 00:24:09,240 Speaker 1: to see. You know, you know who overwhelmingly goes for 392 00:24:09,320 --> 00:24:14,359 Speaker 1: Trump over Biden, United States Marines. You know else is 393 00:24:14,400 --> 00:24:22,840 Speaker 1: in that category. Police officers, firemen, mechanics, machinists, truck drivers, 394 00:24:23,680 --> 00:24:30,560 Speaker 1: construction workers, general contractors, plumbers, people who build and make 395 00:24:30,680 --> 00:24:33,920 Speaker 1: stuff who are paid for their labor and their skills 396 00:24:34,359 --> 00:24:40,240 Speaker 1: support Donald Trump. Business owners, that's right, if you own 397 00:24:40,320 --> 00:24:42,919 Speaker 1: a business, if you are a small business owner, you 398 00:24:43,240 --> 00:24:47,359 Speaker 1: overwhelming support Donald Trump. So the people that have the 399 00:24:47,440 --> 00:24:50,560 Speaker 1: most direct contact with either the market value of their 400 00:24:50,680 --> 00:24:57,040 Speaker 1: labor or the the the connection between the success of 401 00:24:57,040 --> 00:25:02,200 Speaker 1: their business and limited government regulation and taxation, they support 402 00:25:02,240 --> 00:25:07,960 Speaker 1: this president. But tech oligarchs, oh no, all about Joe Biden. 403 00:25:08,000 --> 00:25:09,920 Speaker 1: I mean, it's just so funny here I am. I've 404 00:25:09,960 --> 00:25:13,000 Speaker 1: got a tweet that's blocked by one of the most 405 00:25:13,000 --> 00:25:16,000 Speaker 1: powerful tech companies in the world, and not a single 406 00:25:16,040 --> 00:25:18,879 Speaker 1: person in the world would be able to win an 407 00:25:18,960 --> 00:25:24,000 Speaker 1: argument with me about how it is total bullcrap that 408 00:25:24,000 --> 00:25:26,040 Speaker 1: they are blocking me right now. Yeah, I've got a 409 00:25:26,040 --> 00:25:28,240 Speaker 1: half a million Twitter followers. A lot of people have 410 00:25:28,280 --> 00:25:31,160 Speaker 1: bigger ones, some people have smaller ones, whatever, right, but 411 00:25:31,560 --> 00:25:34,240 Speaker 1: that's a fair amount of people. And the President retweets 412 00:25:34,240 --> 00:25:38,679 Speaker 1: me pretty regularly, and the word can get out about this, 413 00:25:38,760 --> 00:25:42,119 Speaker 1: and people should be on the lookout. They should be 414 00:25:42,160 --> 00:25:45,640 Speaker 1: on the lookout for all of a sudden, all Biden 415 00:25:45,720 --> 00:25:48,280 Speaker 1: votes showing up in some place, or all of a sudden, 416 00:25:48,280 --> 00:25:51,800 Speaker 1: an improbable closing of the gap at this phase of 417 00:25:51,800 --> 00:25:56,840 Speaker 1: the election. Why is that being blocked because Liberals don't 418 00:25:57,240 --> 00:26:02,560 Speaker 1: want it out there, because Democrats don't think that people 419 00:26:02,600 --> 00:26:05,920 Speaker 1: should be warned about what could be happening right now, 420 00:26:06,640 --> 00:26:10,040 Speaker 1: which is that this election could really be stolen. Not 421 00:26:10,480 --> 00:26:15,600 Speaker 1: Russia collusion in their crazy dreams, stolen through some putent 422 00:26:15,680 --> 00:26:18,440 Speaker 1: plot that nobody really believes happened. Not stolen like that, 423 00:26:18,760 --> 00:26:23,600 Speaker 1: I mean actually stolen. I mean an election that should 424 00:26:23,640 --> 00:26:28,239 Speaker 1: have already gone to Donald Trump, that through breaking of 425 00:26:28,240 --> 00:26:33,679 Speaker 1: election laws on a systemic scale, is going to change 426 00:26:33,680 --> 00:26:37,840 Speaker 1: the final outcome. We need to be on guard against that. 427 00:26:37,840 --> 00:26:42,120 Speaker 1: That is a serious, a distinct possibility. And I refuse 428 00:26:42,280 --> 00:26:46,080 Speaker 1: to be you know, pushed into a corner and pretend 429 00:26:46,560 --> 00:26:49,640 Speaker 1: because the tech oligarch say it's disputed. Did they ever 430 00:26:49,640 --> 00:26:53,600 Speaker 1: put a disputed disclaimer on Russian collusion claims that the 431 00:26:53,680 --> 00:26:55,960 Speaker 1: media ran with for three years? That were all lies? 432 00:26:56,800 --> 00:27:01,800 Speaker 1: There were all lies. CNN, MSNBC just full of sociopathic 433 00:27:01,920 --> 00:27:04,920 Speaker 1: liars on those issues. Okay, we all know it, all 434 00:27:04,960 --> 00:27:08,200 Speaker 1: their experts, their national security people. Oh Trump works for 435 00:27:08,280 --> 00:27:12,119 Speaker 1: Prutin morons. Did they ever actually put a disclaimer on 436 00:27:12,119 --> 00:27:14,840 Speaker 1: any of that? No, of course not, of course, not friends. 437 00:27:14,920 --> 00:27:18,439 Speaker 1: It's a rigged game. And even with a rigged game. 438 00:27:19,040 --> 00:27:21,159 Speaker 1: On election night it looked like Donald Trump is going 439 00:27:21,200 --> 00:27:23,840 Speaker 1: to come out on top, even with a rigged game. 440 00:27:25,240 --> 00:27:30,000 Speaker 1: And now they may manage to rigg the system in 441 00:27:30,080 --> 00:27:33,560 Speaker 1: effect after the fact. It would be very sad for 442 00:27:33,600 --> 00:27:36,199 Speaker 1: this country. But I sit here and I tell you 443 00:27:36,320 --> 00:27:39,280 Speaker 1: right now, I'm not sure how this is going to 444 00:27:39,320 --> 00:27:41,920 Speaker 1: shake out. Could very well go to court. We'll talk 445 00:27:41,960 --> 00:27:47,480 Speaker 1: about it. But this process has of one certainty of 446 00:27:47,520 --> 00:27:51,640 Speaker 1: it is that it's going to further divide the country 447 00:27:51,720 --> 00:27:55,960 Speaker 1: along deeply polarized lines, and the distrust within our system 448 00:27:56,160 --> 00:27:59,240 Speaker 1: is only going to be exacerbated. It's only going to 449 00:27:59,320 --> 00:28:03,280 Speaker 1: get worse. You're in the freedom Hunt. This is the 450 00:28:03,320 --> 00:28:06,679 Speaker 1: best of Buck Daily podcast, the top stories of the 451 00:28:06,760 --> 00:28:11,280 Speaker 1: day from the Buck Sexton Show. This is an extremely 452 00:28:11,280 --> 00:28:14,560 Speaker 1: flammable situation and the President just threw a match into it. 453 00:28:15,480 --> 00:28:19,440 Speaker 1: He hasn't won these states. Nobody is saying he's won 454 00:28:19,480 --> 00:28:22,879 Speaker 1: the states. The states haven't said that he's won. You know, 455 00:28:22,920 --> 00:28:25,280 Speaker 1: this goes right back to what Joe Biden said, which 456 00:28:25,320 --> 00:28:28,720 Speaker 1: is the President doesn't get to say that he's won states. 457 00:28:29,480 --> 00:28:31,119 Speaker 1: You know, the American people get to say it, and 458 00:28:31,160 --> 00:28:35,240 Speaker 1: the state officials get to declare it. And I guess, 459 00:28:35,720 --> 00:28:37,919 Speaker 1: and I don't know whether he literally means it, but 460 00:28:37,960 --> 00:28:41,120 Speaker 1: he said we will be going to the Supreme Court 461 00:28:41,520 --> 00:28:44,840 Speaker 1: because we want all the voting to stop, well voting 462 00:28:44,880 --> 00:28:48,640 Speaker 1: to stop, yes, but vote counting. You've noticed. I mean, 463 00:28:48,640 --> 00:28:51,920 Speaker 1: first of all, Chris Wallace, I don't understand what anybody 464 00:28:52,000 --> 00:28:56,440 Speaker 1: thinks is worthwhile about this guy. I really don't, you know. 465 00:28:56,480 --> 00:28:59,160 Speaker 1: I know, oh, he's he's a fox, and we're all 466 00:28:59,160 --> 00:29:01,920 Speaker 1: supposed to just be quiet about it. But no, sorry, 467 00:29:02,880 --> 00:29:04,640 Speaker 1: he's going after Trump for this. You're hearing a lot 468 00:29:04,640 --> 00:29:07,160 Speaker 1: of that today. Trump is declaring himself the victor. He 469 00:29:07,200 --> 00:29:09,120 Speaker 1: shouldn't do that, and he shouldn't do this. You should. 470 00:29:09,840 --> 00:29:13,240 Speaker 1: Biden's lawyer, Bob Bauer, has just just come out today 471 00:29:13,280 --> 00:29:15,520 Speaker 1: to say we're winning the election. We've won the election, 472 00:29:15,560 --> 00:29:19,920 Speaker 1: and we're going to defend that election. So you know, 473 00:29:21,000 --> 00:29:23,000 Speaker 1: you ask yourself, you say, okay, So here's someone on 474 00:29:23,000 --> 00:29:25,479 Speaker 1: behalf of Joe Biden saying that Joe Biden's won the election. 475 00:29:26,320 --> 00:29:30,600 Speaker 1: And you know, this is what both teams are declaring victory. Basically, 476 00:29:31,040 --> 00:29:32,760 Speaker 1: that's what they're doing at this point, and then one 477 00:29:32,800 --> 00:29:36,400 Speaker 1: team will concede. But but all the outrage over this 478 00:29:37,440 --> 00:29:40,960 Speaker 1: is just showing you one, how polarized everybody is over this, 479 00:29:41,040 --> 00:29:44,200 Speaker 1: and how much they don't really care about what anybody 480 00:29:44,240 --> 00:29:49,440 Speaker 1: thinks of their complete lack of journalistic integrity. Oh here here, 481 00:29:49,480 --> 00:29:52,120 Speaker 1: speaking of which, we got Jim Acosta. If we're going 482 00:29:52,200 --> 00:29:56,440 Speaker 1: to talk about lack of journalism credibility, Jim Acosta is 483 00:29:56,480 --> 00:29:58,560 Speaker 1: one of the top, one of the top names that 484 00:29:58,560 --> 00:30:02,840 Speaker 1: comes to mind. Play three. You know, we all were 485 00:30:02,840 --> 00:30:05,600 Speaker 1: hoping that the president would not go there and lie 486 00:30:05,680 --> 00:30:09,600 Speaker 1: in falsely and prematurely declare victory. Yeah, so again, as always, 487 00:30:09,600 --> 00:30:12,680 Speaker 1: it's not a surprise, but it is shock absolutely, And Jake, 488 00:30:12,720 --> 00:30:14,880 Speaker 1: I think our founding fathers are probably rolling in their 489 00:30:14,920 --> 00:30:17,960 Speaker 1: graves right now. They did not envision a president of 490 00:30:17,960 --> 00:30:21,200 Speaker 1: the United States delegitimizing an American election, and that is 491 00:30:21,200 --> 00:30:23,160 Speaker 1: what the President just did a few moments ago. It's 492 00:30:23,200 --> 00:30:26,360 Speaker 1: historic and it's historically awful. I think one of the 493 00:30:26,400 --> 00:30:27,800 Speaker 1: things that we're gonna have to wait and see over 494 00:30:27,840 --> 00:30:30,880 Speaker 1: the next several days is and they've been previewing this 495 00:30:30,920 --> 00:30:32,840 Speaker 1: over at the White House and inside the Trump campaign, 496 00:30:32,920 --> 00:30:36,360 Speaker 1: they're going to be deploying, if they have not already deployed, 497 00:30:36,560 --> 00:30:39,720 Speaker 1: an army of lawyers to all of these states where 498 00:30:39,720 --> 00:30:43,240 Speaker 1: they want to contest the results of the election, to 499 00:30:43,360 --> 00:30:46,760 Speaker 1: try to cast aside votes that are still being counted. 500 00:30:46,800 --> 00:30:51,000 Speaker 1: They want to question the legitimacy of these timelines for 501 00:30:51,160 --> 00:30:54,240 Speaker 1: counting ballots and states where ballots are coming in after 502 00:30:54,320 --> 00:30:57,520 Speaker 1: election day. Why are lawyers battle of a sudden, You'll 503 00:30:57,520 --> 00:31:02,880 Speaker 1: notice Democrats were bragging for months about the lawyers that 504 00:31:02,880 --> 00:31:05,040 Speaker 1: they're having place, and they've got a ground when when 505 00:31:05,040 --> 00:31:08,520 Speaker 1: Democrats talked with the Democrats, it's We're going to put 506 00:31:08,520 --> 00:31:12,440 Speaker 1: on the brass knuckles and start, you know, breaking glass 507 00:31:12,440 --> 00:31:14,480 Speaker 1: bottles in half, and we're ready to do whatever we 508 00:31:14,520 --> 00:31:17,160 Speaker 1: got to do to win this thing. But then why 509 00:31:17,240 --> 00:31:18,640 Speaker 1: when they go on TV or they're speaking to a 510 00:31:18,720 --> 00:31:21,600 Speaker 1: national audience, it's, oh my gosh. Trump is deploying all 511 00:31:21,640 --> 00:31:25,840 Speaker 1: these lawyers to look at this. This is also part 512 00:31:25,880 --> 00:31:28,720 Speaker 1: of a larger conversation. Or Democrats still pretend that there's 513 00:31:28,720 --> 00:31:32,160 Speaker 1: no such thing as election fraud. We know that's not true. 514 00:31:32,800 --> 00:31:35,160 Speaker 1: People go to prison for election fraud. We know election 515 00:31:35,200 --> 00:31:38,960 Speaker 1: fraud does happen. If there was ever a time in 516 00:31:39,480 --> 00:31:42,440 Speaker 1: living memory when you think that there might be people 517 00:31:42,480 --> 00:31:46,120 Speaker 1: out there who would be willing to engage in election fraud, 518 00:31:46,720 --> 00:31:49,360 Speaker 1: wouldn't it be now, I mean, isn't that fair to 519 00:31:49,440 --> 00:31:53,080 Speaker 1: at least at least assess at this point? Wouldn't there 520 00:31:53,120 --> 00:31:55,520 Speaker 1: be plenty of reason you could come up with if 521 00:31:55,520 --> 00:31:59,240 Speaker 1: you're somebody that thinks that Trump is creating fascism in America, 522 00:31:59,360 --> 00:32:02,920 Speaker 1: that Trump is the most awful political leader in history, 523 00:32:02,920 --> 00:32:05,800 Speaker 1: and all all this other stuff that they say, what 524 00:32:05,880 --> 00:32:09,080 Speaker 1: would you be unwilling to do to stop this president? 525 00:32:09,120 --> 00:32:13,200 Speaker 1: People leak classified information to the press, not only breaking 526 00:32:13,200 --> 00:32:20,720 Speaker 1: their oaths, but also theoretically exposing themselves to federal criminal 527 00:32:20,760 --> 00:32:23,440 Speaker 1: penalties for this. I mean, it is a felony. And 528 00:32:23,520 --> 00:32:25,640 Speaker 1: they do that to undermine the president. You don't think 529 00:32:25,640 --> 00:32:28,240 Speaker 1: there are people out there and those are senior government 530 00:32:28,280 --> 00:32:31,440 Speaker 1: officials that have sworn an oath to defend and uphold 531 00:32:31,480 --> 00:32:35,920 Speaker 1: the Constitution and are bound by sacred obligation not to 532 00:32:35,960 --> 00:32:39,000 Speaker 1: spill the United States as national security secrets. They'll do that. 533 00:32:39,640 --> 00:32:42,600 Speaker 1: They'll break that oath if it hurts Trump. But oh 534 00:32:42,720 --> 00:32:45,560 Speaker 1: my gosh, filling out a bunch of empty ballots that 535 00:32:45,600 --> 00:32:48,880 Speaker 1: have been harvested and then putting them in who's gonna 536 00:32:49,080 --> 00:32:51,400 Speaker 1: what do you think they're gonna fingerprint millions and millions 537 00:32:51,440 --> 00:32:55,680 Speaker 1: of ballots? Or why is this so unthinkable? Right? I'm 538 00:32:55,720 --> 00:32:59,480 Speaker 1: not saying there has been fraud yet, I don't know. 539 00:32:59,600 --> 00:33:02,440 Speaker 1: I'm saying it's not hard, and there's a very good 540 00:33:02,520 --> 00:33:04,680 Speaker 1: chance that there will be some and we need to 541 00:33:04,720 --> 00:33:08,240 Speaker 1: be on guard for it. You know it's Democrats. Oh no, 542 00:33:08,600 --> 00:33:12,120 Speaker 1: that's crazy. You're undermining the process. Even Twitter shutting me down, 543 00:33:12,800 --> 00:33:15,120 Speaker 1: not allowing me to say, keep an eye out for this. 544 00:33:15,800 --> 00:33:19,560 Speaker 1: You know, I mentioned that there was this hundred thousand 545 00:33:19,680 --> 00:33:23,000 Speaker 1: vote increase for Biden all of a sudden in Michigan 546 00:33:23,720 --> 00:33:26,120 Speaker 1: and with no vote increase at all showed in the tally. 547 00:33:26,200 --> 00:33:27,680 Speaker 1: And it turns out now they're saying it was a 548 00:33:28,400 --> 00:33:33,880 Speaker 1: computational error. Well, okay, but the people that were saying, 549 00:33:33,880 --> 00:33:35,920 Speaker 1: hold on a second, that's a problem, they were right. 550 00:33:37,000 --> 00:33:39,440 Speaker 1: If you want to accept that this is really the answer, 551 00:33:39,440 --> 00:33:41,239 Speaker 1: which it Maybe it was fine. Maybe they did make 552 00:33:41,320 --> 00:33:45,760 Speaker 1: a computational error, but they're making errors already. They're admitting 553 00:33:45,800 --> 00:33:48,880 Speaker 1: to errors. And the people who are saying let's make 554 00:33:48,960 --> 00:33:53,200 Speaker 1: sure that there aren't more errors, or that we catch 555 00:33:53,200 --> 00:33:55,600 Speaker 1: as many as possible and prevent them from being the 556 00:33:55,640 --> 00:33:59,320 Speaker 1: determining factor in this election, they're the bad guys. You know, 557 00:33:59,560 --> 00:34:02,400 Speaker 1: we're are the bad people. And all these journalists out 558 00:34:02,440 --> 00:34:05,800 Speaker 1: there virtue signaling about how whoa every vote needed to 559 00:34:05,840 --> 00:34:10,160 Speaker 1: be counted. Here's major Garrett CBS fifteen. There is nothing 560 00:34:10,640 --> 00:34:14,600 Speaker 1: pro Biden or pro Trump, anti Biden or anti Trump 561 00:34:14,640 --> 00:34:16,840 Speaker 1: by saying all the votes that have been legally cast 562 00:34:17,040 --> 00:34:20,600 Speaker 1: should be counted. Saying that they haven't been counted doesn't 563 00:34:20,640 --> 00:34:23,680 Speaker 1: mean we're holding back something that we know we actually 564 00:34:23,719 --> 00:34:26,200 Speaker 1: don't know. Some of them are from Republican areas, some 565 00:34:26,200 --> 00:34:28,759 Speaker 1: of them from democratic areas. When all this pans out, 566 00:34:28,840 --> 00:34:33,040 Speaker 1: the president could win, right, That's why they're toss up exactly, 567 00:34:33,080 --> 00:34:36,160 Speaker 1: And when it all pans out, former Vice President Biden 568 00:34:36,280 --> 00:34:40,360 Speaker 1: could win. There is nothing about this process and saying, 569 00:34:40,400 --> 00:34:42,680 Speaker 1: you know what, all the votes should be counted that 570 00:34:42,719 --> 00:34:45,080 Speaker 1: have been cast, that is trying to put the thumb 571 00:34:45,080 --> 00:34:48,799 Speaker 1: on any scale. It's just saying two things we don't know, 572 00:34:49,400 --> 00:34:53,040 Speaker 1: and all the ballots legally cast must be counted. No 573 00:34:53,120 --> 00:34:58,080 Speaker 1: one disagrees on all the ballots legally cast by the deadline, 574 00:34:58,080 --> 00:35:01,799 Speaker 1: which is part of their legality, should be counted. The 575 00:35:01,960 --> 00:35:06,160 Speaker 1: problem is that there are some states where Democrats wanted 576 00:35:06,200 --> 00:35:09,359 Speaker 1: to kind of extend the extend the playing field, move 577 00:35:09,440 --> 00:35:13,440 Speaker 1: the goal posts. Pennsylvania is the biggest one, and that 578 00:35:13,480 --> 00:35:17,399 Speaker 1: could be a real problem because showing up the day 579 00:35:17,400 --> 00:35:19,560 Speaker 1: after the election with a whole bunch of ballots that 580 00:35:19,600 --> 00:35:23,240 Speaker 1: were signed that morning or that we're you know, cast 581 00:35:23,320 --> 00:35:27,080 Speaker 1: that morning, so to speak, is illegal. You know, why 582 00:35:27,120 --> 00:35:29,239 Speaker 1: have an election day at all? Right? Why not just 583 00:35:29,280 --> 00:35:32,000 Speaker 1: have election year and see what we can all come 584 00:35:32,080 --> 00:35:34,560 Speaker 1: up with. There's a reason that these rules are in place, 585 00:35:34,960 --> 00:35:37,080 Speaker 1: and we should not dismiss out of hand anybody that 586 00:35:37,160 --> 00:35:42,320 Speaker 1: feels like it's necessary to try to show some respect 587 00:35:42,480 --> 00:35:46,040 Speaker 1: for them. But you know, you can believe that, or 588 00:35:46,080 --> 00:35:51,480 Speaker 1: you can believe the joy behar analysis. Let's laying things ever, say, 589 00:35:51,640 --> 00:35:54,400 Speaker 1: let's take a little moment here to the joy beiha, 590 00:35:54,680 --> 00:35:59,320 Speaker 1: here she is, Oh my god. Trump He's going to jail. 591 00:35:59,560 --> 00:36:03,800 Speaker 1: He's going to jail. Play eleven. People have to remember 592 00:36:03,920 --> 00:36:07,279 Speaker 1: that the Trump is hanging on to power, and primarily 593 00:36:07,400 --> 00:36:10,719 Speaker 1: I think it's to avoid going to prison. You know, 594 00:36:10,760 --> 00:36:13,920 Speaker 1: people don't remember what a game John Erlicman holds him in. 595 00:36:14,000 --> 00:36:16,480 Speaker 1: They both went to prison. John Mitchell went to prison. 596 00:36:16,520 --> 00:36:19,160 Speaker 1: The only reason why Nixon didn't go is because he 597 00:36:19,200 --> 00:36:21,960 Speaker 1: was pardoned by JARIALD. Foy Day will go to jail. 598 00:36:22,160 --> 00:36:26,320 Speaker 1: He will go to jail. They will go to jail. 599 00:36:26,680 --> 00:36:31,320 Speaker 1: He's going to jail. No, he's not for what I 600 00:36:31,320 --> 00:36:32,960 Speaker 1: always want to ask the bey oars it. What's he 601 00:36:32,960 --> 00:36:36,640 Speaker 1: gonna go to jail for the Russian collusion that didn't exist? 602 00:36:36,680 --> 00:36:39,480 Speaker 1: And collusion isn't even a crime in the context of 603 00:36:39,760 --> 00:36:41,920 Speaker 1: an election. The way that they've framed the whole thing, 604 00:36:43,120 --> 00:36:46,040 Speaker 1: what exactly is going on? Why is he gonna go 605 00:36:46,080 --> 00:36:49,480 Speaker 1: to jail. But this is the mentality. It's not enough 606 00:36:49,520 --> 00:36:51,640 Speaker 1: to defeat Trump. They have to humiliate him, ruin him, 607 00:36:51,640 --> 00:36:54,800 Speaker 1: punish him, take away his freedom, go after his children. 608 00:36:55,680 --> 00:36:58,560 Speaker 1: And then they turned on say why always so polarized? 609 00:36:59,040 --> 00:37:02,160 Speaker 1: Someone tell me why? What's that's a polarized country? I 610 00:37:02,160 --> 00:37:06,080 Speaker 1: don't understand. It's all Donald Trump's fault. We should lock 611 00:37:06,160 --> 00:37:08,080 Speaker 1: him up. They don't. They don't see that. There's kind 612 00:37:08,080 --> 00:37:10,320 Speaker 1: of a circular logic here. We have to lock Donald 613 00:37:10,320 --> 00:37:14,279 Speaker 1: Trump up for no reason. Why are we so polarized? Oh, 614 00:37:14,360 --> 00:37:16,640 Speaker 1: I've got an idea. It's Trump's fault. We need to 615 00:37:16,680 --> 00:37:19,840 Speaker 1: lock him up. That's kind of how it goes. That's 616 00:37:19,960 --> 00:37:23,080 Speaker 1: really a window into the liberal mind of the moment. 617 00:37:23,120 --> 00:37:25,640 Speaker 1: It doesn't make sense to a rational person. But who 618 00:37:25,640 --> 00:37:29,319 Speaker 1: says they're rational? Who says it makes sense? You know, 619 00:37:29,440 --> 00:37:33,680 Speaker 1: right now, while they're all out there pretending to be 620 00:37:33,719 --> 00:37:36,920 Speaker 1: the great guardians and guaranteurs of our democracy, you know, 621 00:37:37,000 --> 00:37:42,120 Speaker 1: Nancy Pelosi's still walking around just flatly undermining institutions. However, 622 00:37:42,120 --> 00:37:47,200 Speaker 1: she can play eight. Instead of crushing the coronavirus, Trump 623 00:37:47,280 --> 00:37:51,200 Speaker 1: is trying to crush the ACA, the affordable care waging 624 00:37:51,239 --> 00:37:55,600 Speaker 1: his deadly lawsuit to destroy protections for pre existing conditions 625 00:37:55,640 --> 00:37:58,960 Speaker 1: and every other benefit of the Affordable Care Show is 626 00:37:59,040 --> 00:38:02,680 Speaker 1: deadly contempt science and refusing to accept our national plan 627 00:38:03,080 --> 00:38:07,960 Speaker 1: for testing tracing treatment. Joe Biden will do that installing 628 00:38:07,960 --> 00:38:12,640 Speaker 1: and president is installing an illegitimate Supreme Court justice just 629 00:38:12,840 --> 00:38:17,000 Speaker 1: one week before the election, after sixty million Americans had voted, 630 00:38:17,280 --> 00:38:21,240 Speaker 1: who will dismantle the ACA? And won't say? By the way, 631 00:38:21,480 --> 00:38:27,160 Speaker 1: When asks my Senator Feinstein, do you think Medicare is constitutional? 632 00:38:27,480 --> 00:38:31,800 Speaker 1: She said she really couldn't say. Illegitimate Supreme Court justice. 633 00:38:31,800 --> 00:38:35,799 Speaker 1: She says, they never explain illegitimate how or why. They 634 00:38:35,880 --> 00:38:38,399 Speaker 1: just like to say it. But but then they talk 635 00:38:38,440 --> 00:38:41,640 Speaker 1: about how they want to support our sacred democracy and 636 00:38:42,080 --> 00:38:45,960 Speaker 1: they want to protect the processes they're in illegitimate how 637 00:38:46,760 --> 00:38:51,000 Speaker 1: m Illegitimate for Democrats is a word they use in 638 00:38:51,080 --> 00:38:55,640 Speaker 1: place of I don't like that thing, I disagree with 639 00:38:55,760 --> 00:38:59,000 Speaker 1: that person, And you're going to hear a lot more 640 00:38:59,000 --> 00:39:02,719 Speaker 1: of that, especially if they sends up not going their way. 641 00:39:03,040 --> 00:39:07,160 Speaker 1: Right now, the mood is changing, it's certainly moving in 642 00:39:07,239 --> 00:39:13,439 Speaker 1: Biden's favor, But I have not lost faith. I believe 643 00:39:13,480 --> 00:39:16,319 Speaker 1: the President's still going to pull this off. I've been 644 00:39:16,360 --> 00:39:20,200 Speaker 1: telling you along President's gonna win this election. Feel very 645 00:39:20,200 --> 00:39:24,880 Speaker 1: strongly that he will. But this is playing out in 646 00:39:25,000 --> 00:39:27,960 Speaker 1: exactly the way that I anticipated in terms of the 647 00:39:28,120 --> 00:39:31,440 Speaker 1: arguments being made, the delays in vote counting, the games, 648 00:39:31,440 --> 00:39:36,759 Speaker 1: the shenanigans, the dishonesty, and one thing's for sure, We're 649 00:39:36,800 --> 00:39:39,200 Speaker 1: not all going to have a big sit down sing along. 650 00:39:39,440 --> 00:39:42,360 Speaker 1: America's all come together as one under under a president 651 00:39:42,840 --> 00:39:48,120 Speaker 1: President Biden, that's for sure. Friends. Thanks for listening to 652 00:39:48,160 --> 00:39:51,399 Speaker 1: the Best of Buck Daily podcast. For more Buck head 653 00:39:51,440 --> 00:39:54,400 Speaker 1: to Buck Sexton dot com and remember to subscribe to 654 00:39:54,440 --> 00:40:02,560 Speaker 1: the podcast. Well, it was only a matter of time, friends. 655 00:40:02,920 --> 00:40:06,280 Speaker 1: But to give you a sense of how ugly this 656 00:40:06,680 --> 00:40:09,960 Speaker 1: ballot counting exercise, remember Stalin, it's not who counts, it's 657 00:40:09,960 --> 00:40:12,320 Speaker 1: not who cast the votes, it's who counts the ballots. 658 00:40:13,360 --> 00:40:15,160 Speaker 1: It's gonna be a lot to talk about that in 659 00:40:15,200 --> 00:40:17,480 Speaker 1: the next few days, to give you a sense of 660 00:40:17,520 --> 00:40:22,120 Speaker 1: just how ugly it is. Yours truly, who is usually 661 00:40:22,160 --> 00:40:26,720 Speaker 1: a guy who stays within the lines. I mostly played 662 00:40:26,719 --> 00:40:29,279 Speaker 1: by the rules. I'd say, for the first time I've 663 00:40:29,320 --> 00:40:33,719 Speaker 1: had a tweet band on Twitter, and I knew this 664 00:40:33,760 --> 00:40:36,360 Speaker 1: was gonna happen at some point. And what's amazing is 665 00:40:36,400 --> 00:40:38,680 Speaker 1: that it's a it's a tweet about what I think 666 00:40:39,280 --> 00:40:42,279 Speaker 1: will happen. It's not If it is, it is not 667 00:40:42,480 --> 00:40:46,200 Speaker 1: possible to claim that this is false, because it's like 668 00:40:46,320 --> 00:40:50,799 Speaker 1: me saying, oh, next week, you know, Joe Schmo is 669 00:40:50,880 --> 00:40:54,920 Speaker 1: going to win his congressional election that's delayed or something, right, 670 00:40:54,920 --> 00:40:57,480 Speaker 1: I mean, it's me saying what I think is going 671 00:40:57,520 --> 00:41:01,400 Speaker 1: to happen. Well, I mean, part of this is factual, 672 00:41:01,440 --> 00:41:03,160 Speaker 1: but the important part it is what I think is 673 00:41:03,160 --> 00:41:07,440 Speaker 1: going to happen. I tweeted out, notice how all the 674 00:41:07,520 --> 00:41:12,239 Speaker 1: ballot counting shenanigans are happening in democrats strongholds, which is 675 00:41:12,280 --> 00:41:16,400 Speaker 1: true in states Democrats were behind in last night and 676 00:41:16,440 --> 00:41:19,720 Speaker 1: desperately need to win. These are facts, Okay. In Georgia 677 00:41:19,760 --> 00:41:24,240 Speaker 1: there was a pipe that burst that stopped the ballot counting. 678 00:41:25,600 --> 00:41:28,640 Speaker 1: You know, there's there's graphics that show all of a sudden, 679 00:41:28,640 --> 00:41:31,439 Speaker 1: in Michigan, over the course of the night, two hundred 680 00:41:31,480 --> 00:41:34,319 Speaker 1: thousand votes just got added to the Biden total, with 681 00:41:34,400 --> 00:41:36,680 Speaker 1: not a single vote added to the Trump total. I mean, 682 00:41:36,800 --> 00:41:42,920 Speaker 1: there's weird stuff. There's weird stuff happening here, and so 683 00:41:42,960 --> 00:41:47,200 Speaker 1: I tweeted out, Notice how all of the notice how 684 00:41:47,239 --> 00:41:50,400 Speaker 1: all of the ballot counting shenanigans are happening in democrats 685 00:41:50,440 --> 00:41:52,960 Speaker 1: strongholds in states Democrats were behind in last night and 686 00:41:53,000 --> 00:41:56,360 Speaker 1: desperately need to win. You're going to hear a lot 687 00:41:56,400 --> 00:42:01,200 Speaker 1: of Wow, we just found five thousand more Biden votes 688 00:42:01,320 --> 00:42:04,480 Speaker 1: in this dumpster over the next forty eight hours. First 689 00:42:04,480 --> 00:42:07,759 Speaker 1: of all, that's funny. Okay, First of all, let's start 690 00:42:07,760 --> 00:42:11,319 Speaker 1: with it's kind of a joke a little bit. It's 691 00:42:11,320 --> 00:42:15,399 Speaker 1: obviously meant to be something well exaggeration. I don't even 692 00:42:15,400 --> 00:42:16,839 Speaker 1: know if I would call it that. It's definitely a joke. 693 00:42:16,920 --> 00:42:20,040 Speaker 1: But it's also true. This has happened before. Friends in 694 00:42:20,080 --> 00:42:23,759 Speaker 1: the al Franken too bad. In the al Franken Norm 695 00:42:23,840 --> 00:42:27,920 Speaker 1: Coleman Senate race, which was determined by I think it 696 00:42:27,960 --> 00:42:31,240 Speaker 1: was hundreds, maybe a few thousand votes first Senate seat, 697 00:42:31,239 --> 00:42:34,359 Speaker 1: it's a big deal. They suddenly were finding a lot 698 00:42:34,400 --> 00:42:37,200 Speaker 1: of uncounted ballots in the trunks of cars or they're fight. 699 00:42:37,560 --> 00:42:41,319 Speaker 1: They would find these ballots overwhelmingly, if not entirely, for 700 00:42:41,360 --> 00:42:45,399 Speaker 1: al Franken. The Democrat and Republicans just sort of said, oh, 701 00:42:45,480 --> 00:42:49,800 Speaker 1: we don't want to interfere in the process. How is 702 00:42:49,840 --> 00:42:52,760 Speaker 1: it that my tweet you're gonna hear a lot of wow. 703 00:42:53,000 --> 00:42:55,839 Speaker 1: You're going to hear a lot of wow. We just 704 00:42:55,880 --> 00:42:58,560 Speaker 1: found five thousand more Biden votes in this dumpster over 705 00:42:58,560 --> 00:43:02,840 Speaker 1: the next forty eight hours, flagged and blocked on Twitter. 706 00:43:03,480 --> 00:43:06,640 Speaker 1: Twitter is a left wing dumpster fire. And how people 707 00:43:06,640 --> 00:43:08,600 Speaker 1: are gonna say, buck, just stop using it. I'm already 708 00:43:08,640 --> 00:43:10,680 Speaker 1: on Parlor, I'm already on Rumble, and we're gonna be 709 00:43:10,719 --> 00:43:13,840 Speaker 1: using those platforms more. But it's a little bit like 710 00:43:13,960 --> 00:43:15,800 Speaker 1: back in the day when as as a conservative you 711 00:43:15,840 --> 00:43:18,200 Speaker 1: could still go on CNN, or even now as a 712 00:43:18,239 --> 00:43:20,400 Speaker 1: conservative you can still go on like the Bill Maher Show. 713 00:43:21,280 --> 00:43:24,160 Speaker 1: You got you gotta fight in their arenas too. You 714 00:43:24,160 --> 00:43:26,760 Speaker 1: don't want to give that space up to the other side. 715 00:43:27,320 --> 00:43:29,120 Speaker 1: But that's not to say that I think it's fair 716 00:43:29,280 --> 00:43:33,200 Speaker 1: or it's right, or what's going on there is representative 717 00:43:33,239 --> 00:43:36,480 Speaker 1: of how the conversation should be. But I mean, this 718 00:43:36,560 --> 00:43:42,080 Speaker 1: is just amazing. I cannot believe this. Five thousand more 719 00:43:42,200 --> 00:43:44,480 Speaker 1: Biden votes in this dumpster over the next forty eight hours. 720 00:43:44,480 --> 00:43:48,359 Speaker 1: How can that be flagged as misleading? Are they gonna 721 00:43:48,360 --> 00:43:50,600 Speaker 1: send me an apology? Because here's here's a little, a 722 00:43:50,640 --> 00:43:53,239 Speaker 1: little prediction for you. They are gonna find they are 723 00:43:53,239 --> 00:43:58,319 Speaker 1: gonna find stashes of votes in Philadelphia, and they are 724 00:43:58,400 --> 00:44:04,799 Speaker 1: gonna be surprisingly pro Biden in the makeup, right. I 725 00:44:04,880 --> 00:44:08,319 Speaker 1: think that's fair. And if I'm wrong, well then I 726 00:44:08,320 --> 00:44:10,680 Speaker 1: was wrong. But it's a prediction. Twitter is straight up 727 00:44:10,680 --> 00:44:15,480 Speaker 1: blocking it. Twitter is suppressing me trying to get the 728 00:44:15,520 --> 00:44:18,720 Speaker 1: word out about the observations that just as a person 729 00:44:18,719 --> 00:44:21,279 Speaker 1: who's paying close attention to this selection is making in 730 00:44:21,320 --> 00:44:26,200 Speaker 1: real time. The President of the United States last night, 731 00:44:26,840 --> 00:44:30,520 Speaker 1: during his statement on this, made it very clear that 732 00:44:30,719 --> 00:44:37,040 Speaker 1: he thinks it's weird. He thinks it's problematic. What is 733 00:44:37,080 --> 00:44:39,520 Speaker 1: going on where it looked like he was gonna win. 734 00:44:39,560 --> 00:44:41,680 Speaker 1: I mean, I you know, I was on air with 735 00:44:41,760 --> 00:44:44,080 Speaker 1: my friend Jesse Kelly. It looked like he was gonna win, 736 00:44:45,200 --> 00:44:48,399 Speaker 1: and I kept saying, no, we don't know, we don't know. 737 00:44:49,360 --> 00:44:50,879 Speaker 1: But in the back of my mind I was thinking, 738 00:44:50,880 --> 00:44:52,680 Speaker 1: he's looking pretty good. And then all of a sudden, 739 00:44:52,680 --> 00:44:55,120 Speaker 1: it's yeah, we're just gonna stop counting ballots in these places. 740 00:44:55,120 --> 00:44:57,680 Speaker 1: It's not gonna know for a few days. Got to 741 00:44:57,680 --> 00:45:01,000 Speaker 1: see where all this heads. I'm just gonna say this, dude. 742 00:45:01,040 --> 00:45:03,440 Speaker 1: We gotta have a We gotta have a better election 743 00:45:04,360 --> 00:45:06,839 Speaker 1: counting process than what we got right now. We've got 744 00:45:06,840 --> 00:45:10,320 Speaker 1: to figure this out. This can't be. We have advanced 745 00:45:10,360 --> 00:45:14,439 Speaker 1: technologically a lot, and we should be able to get 746 00:45:14,440 --> 00:45:19,280 Speaker 1: this stuff so that it's just incontrovertible. It's it's instantaneous, 747 00:45:19,320 --> 00:45:22,040 Speaker 1: it's all together. You know that they need to adjust, 748 00:45:22,080 --> 00:45:23,919 Speaker 1: They need to adjust the way this whole process has done. 749 00:45:23,920 --> 00:45:29,239 Speaker 1: But anyway, that's that's what I think is a part 750 00:45:29,239 --> 00:45:31,280 Speaker 1: of the takeaway of this. But here's the president saying 751 00:45:31,320 --> 00:45:34,120 Speaker 1: that it's it could go all the way up to 752 00:45:34,120 --> 00:45:37,320 Speaker 1: the Supreme Court. I mean, he was flagged by Twitter 753 00:45:37,400 --> 00:45:41,600 Speaker 1: last time in Twitter is suppressing information right now. That 754 00:45:41,719 --> 00:45:45,920 Speaker 1: doesn't look good for Democrats. That's what's actually happening. Play eighteen. 755 00:45:47,200 --> 00:45:51,279 Speaker 1: This is a fraud on the American public. This is 756 00:45:51,320 --> 00:45:56,440 Speaker 1: an embarrassment to our country. We were getting ready to 757 00:45:56,480 --> 00:46:02,920 Speaker 1: win this election. Frankly, we did win this election. So 758 00:46:02,960 --> 00:46:07,480 Speaker 1: our goal now is to ensure the integrity for the 759 00:46:07,520 --> 00:46:09,800 Speaker 1: good of this nation. This is a very big moment. 760 00:46:10,719 --> 00:46:14,320 Speaker 1: This is a major fraud in our nation. We want 761 00:46:15,280 --> 00:46:18,640 Speaker 1: the law to be used in a proper manner, so 762 00:46:18,840 --> 00:46:22,879 Speaker 1: we'll be going to the US Supreme Court. We want 763 00:46:22,960 --> 00:46:27,240 Speaker 1: all voting to stop. We don't want them to find 764 00:46:27,320 --> 00:46:30,719 Speaker 1: any ballots at four o'clock in the morning and add 765 00:46:30,760 --> 00:46:36,680 Speaker 1: them to the list. Okay, it's a very sad. It's 766 00:46:36,719 --> 00:46:38,719 Speaker 1: a very sad moment to me. This is a very 767 00:46:38,719 --> 00:46:42,400 Speaker 1: sad moment. And we will win this. And as far 768 00:46:42,440 --> 00:46:45,480 Speaker 1: as I'm concerned, we already have one. Is that going 769 00:46:45,520 --> 00:46:48,239 Speaker 1: to be suppressed by social media platforms too? I'm sure 770 00:46:48,239 --> 00:46:50,480 Speaker 1: it will if it's not already. As I talk to you, 771 00:46:50,840 --> 00:46:54,040 Speaker 1: what did I say that the actual sitting president of 772 00:46:54,080 --> 00:46:56,239 Speaker 1: the United States is not saying? Oh, but I'm not 773 00:46:56,280 --> 00:46:59,440 Speaker 1: allowed to say that because it's disputed information about the election. 774 00:46:59,760 --> 00:47:02,319 Speaker 1: How can you dispute me saying, guys, be on the 775 00:47:02,360 --> 00:47:05,520 Speaker 1: lookout for this bad thing happening. I didn't say it 776 00:47:05,520 --> 00:47:10,759 Speaker 1: had happened. It is wrong. It is simply wrong to 777 00:47:10,880 --> 00:47:14,560 Speaker 1: do what these tech giants are doing right now. They 778 00:47:14,600 --> 00:47:18,959 Speaker 1: are trying to steal this thing for Joe Biden. Look 779 00:47:18,960 --> 00:47:21,120 Speaker 1: at the donations. That's all you have to do. There 780 00:47:21,200 --> 00:47:24,920 Speaker 1: was this incredible graphic and that was making the rounds 781 00:47:25,040 --> 00:47:30,359 Speaker 1: yesterday based on donations to Biden or Trump, showing you know, 782 00:47:30,760 --> 00:47:37,040 Speaker 1: what the separation within certain professions, how overwhelmingly one sided 783 00:47:37,080 --> 00:47:40,080 Speaker 1: they were in their donations, and what a big portion 784 00:47:40,120 --> 00:47:42,799 Speaker 1: of the donations they actually were too. Was a great visualization, 785 00:47:43,520 --> 00:47:46,240 Speaker 1: and there should be no surprise here at all. Who 786 00:47:46,320 --> 00:47:49,719 Speaker 1: do you think are the big Biden donors out there? 787 00:47:49,719 --> 00:47:55,640 Speaker 1: By professional class? All the universities, right, universities are just 788 00:47:55,920 --> 00:47:59,600 Speaker 1: overrun with leftists and people that are carrying water for 789 00:47:59,600 --> 00:48:03,080 Speaker 1: the Democrat Party on the pathway, of course, to turning 790 00:48:03,080 --> 00:48:06,080 Speaker 1: this country into a socialist dystopia if they can. And 791 00:48:06,600 --> 00:48:11,440 Speaker 1: you also add into that psychiatrists always told you superlib 792 00:48:11,719 --> 00:48:19,080 Speaker 1: very left wing social workers, bureaucrats, government employees, lawyers. I've 793 00:48:19,080 --> 00:48:22,520 Speaker 1: been telling you the legal profession overrun by the left 794 00:48:22,560 --> 00:48:25,200 Speaker 1: now too. Not all lawyers. I got some great friends 795 00:48:25,200 --> 00:48:30,520 Speaker 1: who are conservatives, who are excellent lawyers, but big, you know, 796 00:48:30,640 --> 00:48:33,880 Speaker 1: big donations from the legal profession going to Biden, and 797 00:48:34,080 --> 00:48:37,400 Speaker 1: most of them going to Biden by far. Wall Street 798 00:48:38,080 --> 00:48:40,040 Speaker 1: Democrats don't want to talk about that Wall Street money 799 00:48:40,080 --> 00:48:43,000 Speaker 1: goes to Joe Biden. A lot of the big corporation 800 00:48:43,160 --> 00:48:47,640 Speaker 1: money goes to Joe Biden. Here effectively, the establishment, the 801 00:48:47,760 --> 00:48:51,040 Speaker 1: wealthy and powerful establishment in this country donate their money 802 00:48:51,080 --> 00:48:56,920 Speaker 1: to Joe Biden. That's what actually happens. And Tech, Google, Facebook, 803 00:48:57,520 --> 00:49:01,799 Speaker 1: They're they're essentially they are a cent actually parts of 804 00:49:01,840 --> 00:49:07,000 Speaker 1: the d n C. I mean, they are working overtime 805 00:49:07,880 --> 00:49:10,320 Speaker 1: to try to make sure that that Donald Trump loses 806 00:49:10,320 --> 00:49:12,359 Speaker 1: this election and that Joe Biden ends up winning it, 807 00:49:12,360 --> 00:49:14,319 Speaker 1: and they may succeed. I'm not gonna lie to you. 808 00:49:14,320 --> 00:49:16,359 Speaker 1: I mean, this thing is far from a done deal. 809 00:49:16,640 --> 00:49:19,440 Speaker 1: But when you look at who on the who donates 810 00:49:19,520 --> 00:49:21,279 Speaker 1: Joe Biden, I mean to a Donald Trump, who on 811 00:49:21,320 --> 00:49:24,719 Speaker 1: the right profession wise, it's exactly what you would think. 812 00:49:24,719 --> 00:49:26,839 Speaker 1: I was so happy to see. You know. You know 813 00:49:26,920 --> 00:49:32,000 Speaker 1: who overwhelmingly goes for Trump over Biden. United States Marines. 814 00:49:33,040 --> 00:49:40,880 Speaker 1: You know who else is in that category? Police officers, fireman, mechanics, machinists, 815 00:49:41,280 --> 00:49:49,240 Speaker 1: truck drivers, construction workers, general contractors, plumbers, people who build 816 00:49:49,400 --> 00:49:52,400 Speaker 1: and make stuff, who are paid for their labor and 817 00:49:52,560 --> 00:49:59,120 Speaker 1: their skills support Donald Trump. Business owners, that's right, if 818 00:49:59,120 --> 00:50:01,520 Speaker 1: you own a big business, if you are a small 819 00:50:01,560 --> 00:50:06,360 Speaker 1: business owner, you overwhelming support Donald Trump. So the people 820 00:50:06,360 --> 00:50:09,160 Speaker 1: that have the most direct contact with either the market 821 00:50:09,239 --> 00:50:16,320 Speaker 1: value of their labor or the connection between the success 822 00:50:16,320 --> 00:50:21,120 Speaker 1: of their business and limited government regulation and taxation. They 823 00:50:21,160 --> 00:50:26,680 Speaker 1: support this president, but tech oligarchs, Oh no, all about 824 00:50:26,800 --> 00:50:29,000 Speaker 1: Joe Biden. I mean, it's just so funny here I am. 825 00:50:29,120 --> 00:50:32,160 Speaker 1: I've got a tweet that's blocked by one of the 826 00:50:32,160 --> 00:50:34,960 Speaker 1: most powerful tech companies in the world, and not a 827 00:50:35,000 --> 00:50:38,080 Speaker 1: single person in the world would be able to win 828 00:50:38,120 --> 00:50:42,640 Speaker 1: an argument with me about how it is total bullcrap 829 00:50:43,239 --> 00:50:45,359 Speaker 1: that they are blocking me right now. Yeah, I've got 830 00:50:45,360 --> 00:50:47,479 Speaker 1: a half a million Twitter followers. A lot of people 831 00:50:47,520 --> 00:50:49,879 Speaker 1: have bigger ones, some people have smaller ones, whatever, right, 832 00:50:50,320 --> 00:50:53,040 Speaker 1: but that's a fair amount of people. And the President 833 00:50:53,080 --> 00:50:57,680 Speaker 1: retweets me pretty regularly, and the word can get out 834 00:50:57,719 --> 00:51:01,040 Speaker 1: about this, and people should be on the lookout. They 835 00:51:01,040 --> 00:51:03,720 Speaker 1: should be on the lookout for all of a sudden 836 00:51:04,280 --> 00:51:07,040 Speaker 1: all Biden votes showing up in some place, or all 837 00:51:07,080 --> 00:51:10,600 Speaker 1: of a sudden, an improbable closing of the gap at 838 00:51:10,600 --> 00:51:14,640 Speaker 1: this phase of the election. Why is that being blocked 839 00:51:14,760 --> 00:51:21,280 Speaker 1: because Liberals don't want it out there, because Democrats don't 840 00:51:21,280 --> 00:51:24,440 Speaker 1: think that people should be warned about what could be 841 00:51:24,480 --> 00:51:27,880 Speaker 1: happening right now, which is that this election could really 842 00:51:27,920 --> 00:51:33,880 Speaker 1: be stolen, not Russia collusion in their crazy dreams, stolen 843 00:51:34,000 --> 00:51:36,840 Speaker 1: through some putent plot that nobody really believes happened. Not 844 00:51:37,080 --> 00:51:41,640 Speaker 1: stolen like that, I mean actually stolen. I mean an 845 00:51:41,640 --> 00:51:45,640 Speaker 1: election that should have already gone to Donald Trump, that 846 00:51:45,800 --> 00:51:52,279 Speaker 1: through breaking of election laws on a systemic scale, is 847 00:51:52,320 --> 00:51:55,480 Speaker 1: going to change the final outcome. We need to be 848 00:51:55,920 --> 00:52:00,680 Speaker 1: on guard against that. That is a serious, a distinct possibility. 849 00:52:00,719 --> 00:52:03,560 Speaker 1: And I refuse to be you know, pushed into a 850 00:52:03,640 --> 00:52:08,440 Speaker 1: corner and pretend because the tech oligarchs say it's disputed. 851 00:52:08,560 --> 00:52:12,360 Speaker 1: Did they ever put a disputed disclaimer on Russian collusion 852 00:52:12,440 --> 00:52:14,480 Speaker 1: claims that the media ran with for three years? That 853 00:52:14,520 --> 00:52:18,920 Speaker 1: were all lies? There were all lies, CNN, MSNBC just 854 00:52:19,080 --> 00:52:23,600 Speaker 1: full of sociopathic liars on those issues. Okay, we all 855 00:52:23,640 --> 00:52:26,759 Speaker 1: know it, all their experts, their national security people, all 856 00:52:26,880 --> 00:52:30,839 Speaker 1: Trump works for Prutin morons. Did they ever actually put 857 00:52:30,840 --> 00:52:32,440 Speaker 1: a disclaimer on any of that? No, of course not, 858 00:52:33,239 --> 00:52:36,600 Speaker 1: of course, not friends. It's a rigged game. And even 859 00:52:36,640 --> 00:52:39,719 Speaker 1: with a rigged game. On election night, it looked like 860 00:52:39,760 --> 00:52:42,359 Speaker 1: Donald Trump is going to come out on top, even 861 00:52:42,400 --> 00:52:47,480 Speaker 1: with a rigged game. And now they may manage to 862 00:52:47,560 --> 00:52:52,160 Speaker 1: rigg the system in effect after the fact. It would 863 00:52:52,200 --> 00:52:55,120 Speaker 1: be very sad for this country. But I sit here 864 00:52:55,120 --> 00:52:58,200 Speaker 1: and I tell you right now, I'm not sure how 865 00:52:58,200 --> 00:53:00,600 Speaker 1: this is going to shake out. Could very well go 866 00:53:00,640 --> 00:53:04,880 Speaker 1: to court. We'll talk about it. But this process has 867 00:53:05,960 --> 00:53:08,960 Speaker 1: one certainty of it is that it's going to further 868 00:53:09,200 --> 00:53:13,960 Speaker 1: divide the country along deeply polarized lines, and the distrust 869 00:53:14,120 --> 00:53:18,239 Speaker 1: within our system is only going to be exacerbated. It's 870 00:53:18,280 --> 00:53:19,080 Speaker 1: only going to get worse.