1 00:00:02,400 --> 00:00:05,120 Speaker 1: On this episode of News World, I want to put 2 00:00:05,160 --> 00:00:09,720 Speaker 1: in context what we're living through because I think if 3 00:00:09,760 --> 00:00:13,840 Speaker 1: you come down to the narrowest explanation, let's see how 4 00:00:13,960 --> 00:00:18,520 Speaker 1: Canada may have lost. Candidate's unhappy Canada supporters are unhappy. Well, 5 00:00:18,520 --> 00:00:21,479 Speaker 1: that's been true for elections since the founding of the 6 00:00:21,520 --> 00:00:24,919 Speaker 1: Republic and back even back when we were colonies that 7 00:00:24,960 --> 00:00:29,080 Speaker 1: people ran for the colonial legislature. That wouldn't make this 8 00:00:30,200 --> 00:00:36,000 Speaker 1: remarkable or unusual. What makes this remarkable is that we 9 00:00:36,080 --> 00:00:42,120 Speaker 1: have been in at least five year long conflict in 10 00:00:42,240 --> 00:00:46,879 Speaker 1: which every element of the national establishment has gradually become 11 00:00:47,320 --> 00:00:52,199 Speaker 1: recruited to try to destroy Donald Trump and the movement 12 00:00:52,240 --> 00:00:57,560 Speaker 1: that he represents, to go after the people who were inappropriate, 13 00:00:57,600 --> 00:01:01,160 Speaker 1: whether it was Barack Obama's definition of them living in 14 00:01:01,280 --> 00:01:04,880 Speaker 1: small towns, having guns and cleaning to their Bibles, or 15 00:01:05,120 --> 00:01:09,559 Speaker 1: was Hillary Clinton's or others. This whole sense of these 16 00:01:09,600 --> 00:01:13,640 Speaker 1: strange people who don't understand in a sophisticated way why 17 00:01:14,280 --> 00:01:18,959 Speaker 1: selling out American jobs to China and having great relationships 18 00:01:18,959 --> 00:01:23,360 Speaker 1: with international organizations is more important than American jobs, or 19 00:01:23,520 --> 00:01:27,480 Speaker 1: that kneeling rather than standing for the national anthem is 20 00:01:27,520 --> 00:01:30,200 Speaker 1: assigned to your cool or the whole range of things 21 00:01:30,200 --> 00:01:34,600 Speaker 1: which for at least half the country are unacceptable. So 22 00:01:35,480 --> 00:01:38,840 Speaker 1: this election has to be seen within a historic context 23 00:01:39,720 --> 00:01:43,240 Speaker 1: that it is part of a much bigger drama, a 24 00:01:43,360 --> 00:01:46,840 Speaker 1: drama in which all of the bigs are opposed to 25 00:01:46,880 --> 00:01:50,000 Speaker 1: Donald Trump and his base. And by all of the bigs, 26 00:01:50,000 --> 00:01:55,600 Speaker 1: I include people like Facebook, which actually has a dozen 27 00:01:55,720 --> 00:02:02,120 Speaker 1: Chinese scientists working right now trying to apply Chinese techniques 28 00:02:02,320 --> 00:02:06,320 Speaker 1: to being able to censor Facebook. It includes Twitter, which 29 00:02:06,400 --> 00:02:09,840 Speaker 1: is recently, as the middle of this week, censored four 30 00:02:09,919 --> 00:02:13,000 Speaker 1: out of six tweets by Rush Limbaugh, has censored the 31 00:02:13,040 --> 00:02:17,600 Speaker 1: President of the United States, and increasingly, along with Google, 32 00:02:18,000 --> 00:02:21,840 Speaker 1: have kicked conservatives and pro Trump people off the system, 33 00:02:21,960 --> 00:02:25,840 Speaker 1: crippling their ability to communicate. So that was just a 34 00:02:25,840 --> 00:02:27,520 Speaker 1: piece of it. And then, of course there was the 35 00:02:27,560 --> 00:02:29,959 Speaker 1: big media, whether it was the New York Times or 36 00:02:30,080 --> 00:02:34,240 Speaker 1: NBC News or the Washington Post and their unified hatred 37 00:02:34,320 --> 00:02:38,960 Speaker 1: of Trump, or it was the big academics, the fantasy 38 00:02:39,080 --> 00:02:44,720 Speaker 1: universities who had contempt and deep bitter hostility for the 39 00:02:44,840 --> 00:02:49,080 Speaker 1: kind of old fashioned pro American patriotic approach, or for 40 00:02:49,120 --> 00:02:53,560 Speaker 1: the desire to actually appoint constitutional conservatives to the judge ships. 41 00:02:54,160 --> 00:02:57,600 Speaker 1: All of these things have been swirling around. They started 42 00:02:57,720 --> 00:03:01,040 Speaker 1: in the summer of two thousand and six, team when 43 00:03:01,080 --> 00:03:03,720 Speaker 1: there was a serious effort, initially financed by the Clinton 44 00:03:03,800 --> 00:03:06,840 Speaker 1: campaign and then gradually taken over by the FBI and 45 00:03:06,880 --> 00:03:10,600 Speaker 1: the CIA to destroy President of Trump before he even 46 00:03:10,600 --> 00:03:13,240 Speaker 1: got elected. Then there was the effort to spy on 47 00:03:13,320 --> 00:03:18,360 Speaker 1: him and his administration after he had elected, the effort 48 00:03:18,360 --> 00:03:23,000 Speaker 1: to have a long investigation, diverting his attention and putting 49 00:03:23,040 --> 00:03:26,480 Speaker 1: him under pressure. When Robert Mueller was appointed and went 50 00:03:26,680 --> 00:03:29,919 Speaker 1: out of his way and brought in very bitterly anti 51 00:03:29,960 --> 00:03:33,000 Speaker 1: Trump lawyers, and none of that worked, and in the 52 00:03:33,080 --> 00:03:36,160 Speaker 1: end his report was nothing. And then having failed at 53 00:03:36,200 --> 00:03:40,440 Speaker 1: that and the Russian collusion theory collapsing, they came back 54 00:03:40,480 --> 00:03:43,600 Speaker 1: with a new charge, which involved a phone call to 55 00:03:43,680 --> 00:03:46,680 Speaker 1: the Ukraine, which turned out to be grandly ironic once 56 00:03:46,720 --> 00:03:49,120 Speaker 1: it became clear how much money the Biden family was 57 00:03:49,200 --> 00:03:51,560 Speaker 1: making out of Ukraine, but at the time was seen 58 00:03:51,600 --> 00:03:56,240 Speaker 1: as a horrifying example of Donald Trump being inappropriate, leading 59 00:03:56,280 --> 00:03:59,360 Speaker 1: to an impeachment vote in the House with no evidence 60 00:03:59,400 --> 00:04:01,920 Speaker 1: in its rig action by the Senate. All of these 61 00:04:01,960 --> 00:04:06,160 Speaker 1: things going on to try to find some way to 62 00:04:06,200 --> 00:04:09,880 Speaker 1: get rid of this guy who was methodically changing Washington. 63 00:04:09,960 --> 00:04:14,600 Speaker 1: He was deregulating things, he was adopting policies that were working, 64 00:04:15,120 --> 00:04:18,640 Speaker 1: but they were repudiating the old order. So when he 65 00:04:18,760 --> 00:04:22,520 Speaker 1: moved the embassy from Tel Aviv to Jerusalem, for example, 66 00:04:22,839 --> 00:04:25,680 Speaker 1: a generation of so called experts who had for thirty 67 00:04:25,680 --> 00:04:30,000 Speaker 1: five years blocked that from happening, were appalled. And then 68 00:04:30,040 --> 00:04:34,000 Speaker 1: it worked, and then three countries recognized Israel, and suddenly 69 00:04:34,040 --> 00:04:37,280 Speaker 1: they really hate him because it is bad enough that 70 00:04:37,360 --> 00:04:40,640 Speaker 1: he is sort of this real estate groupe who doesn't 71 00:04:40,720 --> 00:04:43,760 Speaker 1: understand in a sophisticated way what they do, but it's 72 00:04:43,760 --> 00:04:46,719 Speaker 1: even worse that his instincts were right and theirs were wrong. 73 00:04:47,160 --> 00:04:50,200 Speaker 1: So the fear and loathing, to use Hunter Thompson's phrase, 74 00:04:50,800 --> 00:04:53,800 Speaker 1: is just extraordinary. And then you got to the election. 75 00:04:53,839 --> 00:04:56,280 Speaker 1: Of course, early on the Democrats were pretty sure they 76 00:04:56,279 --> 00:04:58,039 Speaker 1: were going to win, because all the polls showed that 77 00:04:58,600 --> 00:05:00,400 Speaker 1: Trump was in to lose. In fact of one point, 78 00:05:00,400 --> 00:05:02,960 Speaker 1: they had a pole a showdre in Wisconsin, he was 79 00:05:03,000 --> 00:05:06,680 Speaker 1: down seventeen points, which was always an absurdity, but it 80 00:05:06,760 --> 00:05:10,800 Speaker 1: actually misguided them because when their liberal posters would take 81 00:05:11,200 --> 00:05:14,640 Speaker 1: the kind of polls that made them feel good. It 82 00:05:14,760 --> 00:05:17,800 Speaker 1: also told them that their policies were acceptable. And of 83 00:05:17,839 --> 00:05:20,480 Speaker 1: course part of what that led to was a radical 84 00:05:20,520 --> 00:05:24,640 Speaker 1: Democratic Party that was unacceptable to a substantial number of Americans, 85 00:05:24,640 --> 00:05:26,760 Speaker 1: which is why when he began to get to the 86 00:05:26,880 --> 00:05:30,440 Speaker 1: Senate elections, and you saw eighty million dollars spent to 87 00:05:30,560 --> 00:05:34,039 Speaker 1: defeat Miss McConnell and he won. You saw eighty million 88 00:05:34,040 --> 00:05:37,080 Speaker 1: dollars being spent to the fie Lindsay Graham and he won. 89 00:05:37,520 --> 00:05:40,280 Speaker 1: And you saw I think one hundred million dollars being 90 00:05:40,320 --> 00:05:43,599 Speaker 1: spent to defeat Junior, then she won. There was something 91 00:05:43,640 --> 00:05:46,840 Speaker 1: going on, and then you washed. Instead of Speaker Pelosi 92 00:05:46,880 --> 00:05:49,880 Speaker 1: in the House, Democrats picking up seats, which he amused 93 00:05:49,960 --> 00:05:52,840 Speaker 1: me the all expected. They lost seats, and I was 94 00:05:52,839 --> 00:05:55,160 Speaker 1: getting even worse. And not only the use seats, but 95 00:05:55,279 --> 00:05:57,599 Speaker 1: their lost seats to the largest number of women ever 96 00:05:57,640 --> 00:06:00,480 Speaker 1: elected to the House as Republicans, and they sets to 97 00:06:00,560 --> 00:06:04,039 Speaker 1: minority Republican candidates. As the party began to become much 98 00:06:04,080 --> 00:06:08,080 Speaker 1: more diverse under Kevin mccarthur's leadership, and then at the 99 00:06:08,120 --> 00:06:11,440 Speaker 1: state and local level, the Republicans were gaining ground, picking 100 00:06:11,520 --> 00:06:14,760 Speaker 1: up seats in the legislature, picking up a governorship. So 101 00:06:14,839 --> 00:06:18,560 Speaker 1: the zone was that the polls not only misled the 102 00:06:18,560 --> 00:06:21,600 Speaker 1: news meeting, the poles misled the Democrats because they were 103 00:06:21,680 --> 00:06:23,919 Speaker 1: so wrong, they allowed them to get out on the 104 00:06:23,960 --> 00:06:27,240 Speaker 1: limb of issues and policies. The people just wouldn't accept it. 105 00:06:28,080 --> 00:06:30,479 Speaker 1: That's the framework in which we get to one of 106 00:06:30,480 --> 00:06:33,840 Speaker 1: the great differences in American politics, something you've heard me 107 00:06:33,920 --> 00:06:39,640 Speaker 1: talk about before. Republicans focus on campaigns. So we were 108 00:06:39,680 --> 00:06:43,080 Speaker 1: appalled that Joe Biden would hide in his basement. We 109 00:06:43,120 --> 00:06:45,120 Speaker 1: thought it was amazing. We'd made fun of it. We 110 00:06:45,200 --> 00:06:50,159 Speaker 1: couldn't understand it. Democrats focus on elections. So if you 111 00:06:50,240 --> 00:06:53,400 Speaker 1: focus on a campaign, you want to candidates out there 112 00:06:53,400 --> 00:06:56,160 Speaker 1: and who's got great crowds and who's got people excited 113 00:06:56,560 --> 00:06:59,760 Speaker 1: and you have momentum. But if you focus on elections, 114 00:07:00,320 --> 00:07:02,240 Speaker 1: you want to build a machine that wins the election. 115 00:07:02,279 --> 00:07:04,800 Speaker 1: You don't care about the candidate. And so that's what 116 00:07:04,839 --> 00:07:07,920 Speaker 1: they were methodically doing. Well. Biden was hiding in his basement. 117 00:07:08,400 --> 00:07:11,400 Speaker 1: They were building a machine designed to win no matter what. 118 00:07:12,360 --> 00:07:15,000 Speaker 1: And early on they thought it would be easy because 119 00:07:15,000 --> 00:07:18,200 Speaker 1: they thought Trump would collapse, and the polling told them 120 00:07:18,240 --> 00:07:21,480 Speaker 1: that he would collapse. But they also had some insurance policies. 121 00:07:22,160 --> 00:07:24,840 Speaker 1: Colliston and I were at the White House Tuesday night 122 00:07:25,720 --> 00:07:28,800 Speaker 1: and everything seemed okay, and we were ahead in all 123 00:07:28,800 --> 00:07:33,240 Speaker 1: six of the key states, and suddenly voting stopped and 124 00:07:33,320 --> 00:07:36,080 Speaker 1: we couldn't figure out what was going on, and we 125 00:07:36,120 --> 00:07:38,400 Speaker 1: stayed the other presidents. We were there almost three in 126 00:07:38,400 --> 00:07:40,520 Speaker 1: the morning, and well, we got up the next morning 127 00:07:40,560 --> 00:07:43,800 Speaker 1: we found that hundreds of thousands of balance had suddenly appeared, 128 00:07:44,320 --> 00:07:46,520 Speaker 1: all of them, by the way, for Biden. According to 129 00:07:46,560 --> 00:07:49,160 Speaker 1: five or thirty eight, the Liberal New York Time to 130 00:07:49,200 --> 00:07:52,520 Speaker 1: spin Off, hardly a fan of Trump, but they said 131 00:07:53,080 --> 00:07:58,200 Speaker 1: that there were twenty three thousand votes in one dump 132 00:08:00,520 --> 00:08:05,560 Speaker 1: Trump got zero. Now it's the mathematical likelihood. This is 133 00:08:05,560 --> 00:08:08,920 Speaker 1: the kind of votes you get in Zimbabwe or Cuba, 134 00:08:09,080 --> 00:08:14,560 Speaker 1: or China, or Russia or Venezuela. But no free society 135 00:08:15,160 --> 00:08:19,160 Speaker 1: gets twenty three thousand to zero votes. And people began 136 00:08:19,240 --> 00:08:21,720 Speaker 1: to look at what was going on. Somebody who represented 137 00:08:21,720 --> 00:08:24,680 Speaker 1: Georgia for twenty years, I noticed that every one of 138 00:08:24,680 --> 00:08:29,400 Speaker 1: the key swing states, the president started out with big majorities, 139 00:08:29,880 --> 00:08:32,680 Speaker 1: and he looked like he was guaranteed to win. And 140 00:08:32,760 --> 00:08:36,640 Speaker 1: then people began finding votes. So, for example, Georgia. Savannah 141 00:08:36,679 --> 00:08:40,760 Speaker 1: managed to find fifteen thousand votes that they've misplaced as 142 00:08:40,800 --> 00:08:43,600 Speaker 1: by the time I'm talking to you, they have lost 143 00:08:43,880 --> 00:08:47,040 Speaker 1: eight thousand military votes in Georgia. They don't know where 144 00:08:47,040 --> 00:08:50,240 Speaker 1: they are. It's very mysterious, and most people believe those 145 00:08:50,280 --> 00:08:53,000 Speaker 1: eight thousand votes would mostly go to Trump. I can't 146 00:08:53,040 --> 00:08:56,760 Speaker 1: prove that, but historically they're pretty conservative. We saw this 147 00:08:57,200 --> 00:09:00,520 Speaker 1: in a Virginia house race where the Democrat was behind, 148 00:09:00,960 --> 00:09:04,080 Speaker 1: and then magically, at the last minute, it turned out 149 00:09:04,679 --> 00:09:07,960 Speaker 1: that the card for the computer and an additional several 150 00:09:08,040 --> 00:09:11,679 Speaker 1: thousand votes happened to be in somebody's pocket and they 151 00:09:11,760 --> 00:09:15,640 Speaker 1: just had forgotten it, and magically it came out shortly 152 00:09:15,679 --> 00:09:18,160 Speaker 1: after all the other votes were counted, and she won. 153 00:09:19,320 --> 00:09:22,000 Speaker 1: Every time you turn around, whether it's in Detroit, or 154 00:09:22,040 --> 00:09:26,200 Speaker 1: it's in Philadelphia, or it's in Atlanta, you find that 155 00:09:26,280 --> 00:09:30,360 Speaker 1: these kind of things were happening. In addition, the Democrats 156 00:09:30,360 --> 00:09:33,280 Speaker 1: and their machines worked very hard not to have people 157 00:09:33,360 --> 00:09:35,920 Speaker 1: know exactly what they were doing, or where the votes 158 00:09:35,960 --> 00:09:38,520 Speaker 1: were coming from, or how they were being counted. And 159 00:09:38,600 --> 00:09:42,480 Speaker 1: so from our perspective, there's a great deal that is 160 00:09:42,600 --> 00:09:58,800 Speaker 1: very fishy about all this. The National establishment, of course, 161 00:09:59,240 --> 00:10:02,360 Speaker 1: once trumped to immediately concede, because they'd like to get 162 00:10:02,360 --> 00:10:04,520 Speaker 1: it over with, walk off and never look at it again. 163 00:10:05,160 --> 00:10:07,439 Speaker 1: They don't want to know if there are any votes 164 00:10:07,440 --> 00:10:10,319 Speaker 1: that are illegal. They don't want to know if there 165 00:10:10,320 --> 00:10:13,560 Speaker 1: have been data that are false. They don't want to 166 00:10:13,600 --> 00:10:16,080 Speaker 1: think about what would happen if it turned out the 167 00:10:16,080 --> 00:10:19,640 Speaker 1: twenty three thousand zero vote was phony and that was 168 00:10:19,679 --> 00:10:22,959 Speaker 1: deducted from Biden in Pennsylvania. They don't want to think 169 00:10:23,000 --> 00:10:26,480 Speaker 1: about what would happened in Atlanta if there was a careful, 170 00:10:26,520 --> 00:10:30,280 Speaker 1: accurate account. So their current goal is to close it 171 00:10:30,280 --> 00:10:32,960 Speaker 1: all down. You know, if the president owes it to 172 00:10:33,000 --> 00:10:35,800 Speaker 1: the rest of us to concede, well, first of all, 173 00:10:36,480 --> 00:10:43,080 Speaker 1: a television channel announcing that they had projected the president 174 00:10:43,160 --> 00:10:45,880 Speaker 1: or the vice president to carry a particular state. There's 175 00:10:45,880 --> 00:10:49,200 Speaker 1: no legal binding. They have to at a process in 176 00:10:49,200 --> 00:10:52,360 Speaker 1: many states, but to certify the votes, then they have 177 00:10:52,440 --> 00:10:55,400 Speaker 1: the opportunity to go back and recount, and then they 178 00:10:55,400 --> 00:10:59,160 Speaker 1: have the opportunity to go to court and challenge. For example, 179 00:10:59,520 --> 00:11:02,760 Speaker 1: there are people who were voting who weren't alive. There 180 00:11:02,800 --> 00:11:05,559 Speaker 1: are people who are voting who didn't live in the state, 181 00:11:05,920 --> 00:11:08,880 Speaker 1: and there are all sorts of reasons to believe that 182 00:11:09,520 --> 00:11:13,000 Speaker 1: at a minimum, we owe it to the American people 183 00:11:13,520 --> 00:11:18,200 Speaker 1: to methodically insist on going through a careful count and 184 00:11:18,320 --> 00:11:23,200 Speaker 1: going through a real check against all these ballots. Where 185 00:11:23,240 --> 00:11:25,920 Speaker 1: did they come from, are they real? Was the person 186 00:11:26,040 --> 00:11:28,040 Speaker 1: registered or if they're in the state we can register. 187 00:11:28,320 --> 00:11:31,400 Speaker 1: Did they provide the right information to register on same 188 00:11:31,480 --> 00:11:34,040 Speaker 1: day registration? So there are a lot of things that 189 00:11:34,080 --> 00:11:36,920 Speaker 1: have to be looked at. The system is going to 190 00:11:36,960 --> 00:11:41,280 Speaker 1: break into three parts. The Democrats, of course, and most 191 00:11:41,320 --> 00:11:44,680 Speaker 1: of the news media are going to chant that Trump 192 00:11:44,679 --> 00:11:46,520 Speaker 1: owes it to the country the cave and give in 193 00:11:47,040 --> 00:11:50,480 Speaker 1: and be reasonable, because after all, now that he has 194 00:11:50,559 --> 00:11:54,040 Speaker 1: been defeated, he has to accept it and walk off. 195 00:11:55,000 --> 00:11:59,439 Speaker 1: There's a group of accommodationists Republicans who always believe it's 196 00:11:59,480 --> 00:12:02,240 Speaker 1: their job side with the Democrats the news media, and 197 00:12:02,280 --> 00:12:04,000 Speaker 1: they're going to say, you know, I really don't like 198 00:12:04,120 --> 00:12:06,760 Speaker 1: the president talking about both theft and I don't like 199 00:12:06,880 --> 00:12:10,040 Speaker 1: the president talking about corruption. And they don't particularly want 200 00:12:10,040 --> 00:12:12,400 Speaker 1: to look at the data. They don't want to look 201 00:12:12,400 --> 00:12:16,120 Speaker 1: at the growing amount of evidence. And then there are 202 00:12:16,120 --> 00:12:20,599 Speaker 1: the people around Trump who understand that Trump's race in 203 00:12:20,679 --> 00:12:24,680 Speaker 1: twenty fifteen and twenty and sixteen was a direct head 204 00:12:24,720 --> 00:12:28,800 Speaker 1: on assault at a national establishment which had betrayed the 205 00:12:28,840 --> 00:12:33,720 Speaker 1: American people, no longer represented them, represented its own interests, 206 00:12:33,760 --> 00:12:37,600 Speaker 1: and very often represented those interests in alliance with foreign countries, 207 00:12:37,800 --> 00:12:42,400 Speaker 1: including China and Russia. So those are me the three factions. 208 00:12:42,920 --> 00:12:45,000 Speaker 1: And you'll see this swirl for a little bit at 209 00:12:45,040 --> 00:12:47,640 Speaker 1: Biden and the Democrats, with the strong support from news 210 00:12:47,679 --> 00:12:51,200 Speaker 1: media and from the internet companies, will go all out 211 00:12:51,240 --> 00:12:53,360 Speaker 1: to say, look, it's really all over. Even though the 212 00:12:53,440 --> 00:12:57,160 Speaker 1: votes have an open count, it's really all over, and 213 00:12:57,280 --> 00:12:59,080 Speaker 1: we don't need to have any recounts. So I'll just 214 00:12:59,080 --> 00:13:01,480 Speaker 1: go ahead and move forward. And after all, now that 215 00:13:01,520 --> 00:13:03,600 Speaker 1: we finished getting the election count we all go ahead 216 00:13:03,600 --> 00:13:06,800 Speaker 1: and be friends. And I think you'll see the President saying, no, 217 00:13:07,120 --> 00:13:10,480 Speaker 1: I want every vote counted. I want to make sure 218 00:13:10,200 --> 00:13:14,079 Speaker 1: where there are questions, that we answer the questions, and 219 00:13:14,120 --> 00:13:18,280 Speaker 1: that we owe it to the American people to have 220 00:13:18,440 --> 00:13:23,319 Speaker 1: an honest, straightforward election in which every honest ballot is counted, 221 00:13:23,920 --> 00:13:29,280 Speaker 1: every legal ballot is counted, but no illegal ballot and 222 00:13:29,360 --> 00:13:32,480 Speaker 1: no corrupt ballot is counted. Well, you look at a 223 00:13:32,520 --> 00:13:37,079 Speaker 1: place like Detroit or Philadelphia or Atlantic. That's a tall order, 224 00:13:37,440 --> 00:13:40,480 Speaker 1: and that's going to require going through precinct by precinct, 225 00:13:40,559 --> 00:13:46,040 Speaker 1: vote by vote, and challenging the people who have good 226 00:13:46,080 --> 00:13:50,480 Speaker 1: reason to be excluded. So I think that's part of 227 00:13:50,480 --> 00:13:53,360 Speaker 1: where we are right now. The other thing to remember 228 00:13:54,520 --> 00:13:57,520 Speaker 1: is that this is a real power struggle between the 229 00:13:57,559 --> 00:14:04,080 Speaker 1: interlocking elements of the national staff, I tech companies, the 230 00:14:04,400 --> 00:14:07,200 Speaker 1: people who invested heavily in China and make huge amounts 231 00:14:07,200 --> 00:14:11,199 Speaker 1: of money, the people who represent the left wing activists 232 00:14:11,240 --> 00:14:15,680 Speaker 1: in college campuses, the big city machines. All these folks 233 00:14:15,679 --> 00:14:18,360 Speaker 1: have a broad coalition that will they each take care 234 00:14:18,400 --> 00:14:20,880 Speaker 1: of the other. The big city machines and the teachers 235 00:14:20,960 --> 00:14:24,840 Speaker 1: union want money and they don't care about left wing radicalism. 236 00:14:25,080 --> 00:14:28,200 Speaker 1: Left wing radicals don't care about money, so they form 237 00:14:28,200 --> 00:14:31,960 Speaker 1: a natural alliance. The internet companies are all based in 238 00:14:32,000 --> 00:14:35,560 Speaker 1: Silicon Valley, where they are of anything more liberal than 239 00:14:35,600 --> 00:14:39,360 Speaker 1: the news media. The news media is so monolithically left 240 00:14:39,360 --> 00:14:41,720 Speaker 1: now that would be very, very dangerous for a young 241 00:14:41,760 --> 00:14:45,000 Speaker 1: reporter to be pro Trump and expect to keep their job. 242 00:14:45,600 --> 00:14:48,040 Speaker 1: So all these different elements are going to swirl together. 243 00:14:48,440 --> 00:14:49,920 Speaker 1: In the next week or two, You're going to see 244 00:14:50,080 --> 00:14:52,560 Speaker 1: enormous pressure about to bear on the president and on 245 00:14:52,600 --> 00:14:57,480 Speaker 1: the president's supporters. But I think that America is an 246 00:14:57,480 --> 00:15:02,360 Speaker 1: amazing country, and much like Nixon, who had won an 247 00:15:02,520 --> 00:15:07,920 Speaker 1: enormous selection, carried all the two states, ended up with 248 00:15:08,080 --> 00:15:11,880 Speaker 1: I think almost about sixty percent of vote, and two 249 00:15:11,920 --> 00:15:16,360 Speaker 1: years later was resigning from office because the research went on, 250 00:15:16,840 --> 00:15:19,720 Speaker 1: the investigations went on. Now, in that case, the media 251 00:15:19,800 --> 00:15:22,640 Speaker 1: was against him, so it was easier. But I think 252 00:15:22,680 --> 00:15:24,920 Speaker 1: in the next few days you will see a lot 253 00:15:24,960 --> 00:15:28,120 Speaker 1: of things come out. I said that in part because 254 00:15:28,200 --> 00:15:31,520 Speaker 1: at Ginwish three sixty, we're getting an amazing number of 255 00:15:31,560 --> 00:15:36,160 Speaker 1: emails from different people who are telling us about specific examples, 256 00:15:36,680 --> 00:15:40,280 Speaker 1: people who were intimidated, people who were told they couldn't 257 00:15:40,320 --> 00:15:44,960 Speaker 1: be so, Paul watchers, people who saw specific examples. I 258 00:15:45,120 --> 00:15:48,840 Speaker 1: think that that is going to continue to grow. I 259 00:15:48,880 --> 00:15:51,160 Speaker 1: think now the people understand that you don't have to 260 00:15:51,200 --> 00:15:56,040 Speaker 1: be passing. I will be very surprised if during a 261 00:15:56,120 --> 00:16:00,760 Speaker 1: really serious, in depth review, Georgia doesn't flip to the president. 262 00:16:01,640 --> 00:16:03,560 Speaker 1: I think Arizona is going to flip to the president. 263 00:16:04,240 --> 00:16:08,560 Speaker 1: I think Pennsylvania, the corruption in Philadelphia historically has always 264 00:16:08,560 --> 00:16:11,720 Speaker 1: been enormous, and I think it's very likely the Pennsylvania 265 00:16:11,800 --> 00:16:14,240 Speaker 1: will flip back to the President. So I think this 266 00:16:14,400 --> 00:16:17,280 Speaker 1: dance is not done. The other Saints. People don't pay 267 00:16:17,360 --> 00:16:20,160 Speaker 1: much attention to the Nevada and there the Republicans have 268 00:16:20,280 --> 00:16:24,040 Speaker 1: so many examples of things that were wrong that they've 269 00:16:24,040 --> 00:16:26,880 Speaker 1: actually filed a lawsuit in federal court because they think 270 00:16:26,920 --> 00:16:29,640 Speaker 1: they can turn around the entire election in Nevada just 271 00:16:29,720 --> 00:16:32,080 Speaker 1: based on how much they've done wrong. But as you 272 00:16:32,200 --> 00:16:35,000 Speaker 1: watch all this and a lot of it's confused, and frankly, 273 00:16:35,360 --> 00:16:37,680 Speaker 1: it's been four or five days digging into this, and 274 00:16:37,760 --> 00:16:40,480 Speaker 1: with all of my experience, I'm confused. So if you 275 00:16:40,520 --> 00:16:43,160 Speaker 1: feel confused, don't feel bad. And later on I will 276 00:16:43,200 --> 00:16:47,040 Speaker 1: try to do a very methodical podcast of walking through 277 00:16:47,080 --> 00:16:49,080 Speaker 1: all the details and give you sort of a glossary 278 00:16:49,440 --> 00:16:51,560 Speaker 1: that you can understand what's going on as this thing 279 00:16:51,560 --> 00:16:56,880 Speaker 1: of balls. But the key thing is that all of 280 00:16:56,920 --> 00:17:01,240 Speaker 1: the elements of the establishment went all out at every 281 00:17:01,320 --> 00:17:06,080 Speaker 1: level in order to defeat Trump, and they may or 282 00:17:06,080 --> 00:17:08,000 Speaker 1: may not have. The truth is we don't know right now. 283 00:17:08,480 --> 00:17:12,639 Speaker 1: My personal belief in my heart is that if you 284 00:17:12,760 --> 00:17:17,399 Speaker 1: count honest legal boots, Trump will be reelected. If you 285 00:17:17,560 --> 00:17:22,480 Speaker 1: count dishonest, illegal Boots Biden will be elected, and the 286 00:17:22,560 --> 00:17:25,640 Speaker 1: question will be whether or not the Trump team can 287 00:17:25,680 --> 00:17:29,280 Speaker 1: do the kind of research both to win the public 288 00:17:29,320 --> 00:17:33,280 Speaker 1: opinion argument that yes, this really was a corrupt collection, 289 00:17:33,880 --> 00:17:38,200 Speaker 1: and to win the cases in court. And remember that 290 00:17:38,240 --> 00:17:40,159 Speaker 1: this is a long process. This is not going to 291 00:17:40,280 --> 00:17:43,000 Speaker 1: happen in a week or ten days, and that state 292 00:17:43,119 --> 00:17:46,879 Speaker 1: legislatures under the Constitution have an enormous role of what 293 00:17:48,320 --> 00:17:51,720 Speaker 1: so if, in fact it starts to unravel, and if 294 00:17:51,720 --> 00:17:54,560 Speaker 1: in fact the left starts to lose ground, there's a 295 00:17:54,560 --> 00:17:58,639 Speaker 1: lot of reason to believe that you could certainly be 296 00:18:00,040 --> 00:18:04,159 Speaker 1: in a very different story, just like the impeachment, just 297 00:18:04,400 --> 00:18:08,920 Speaker 1: like the Russian collision, just like Bob Muller, one more 298 00:18:09,080 --> 00:18:12,879 Speaker 1: failed effort to destroy Trump and the Trump movement. But 299 00:18:13,040 --> 00:18:16,399 Speaker 1: we'll see in either event. Frankly, the movement will go on. 300 00:18:17,320 --> 00:18:21,360 Speaker 1: President Trump is now aroused something like sixty million Americans, 301 00:18:21,840 --> 00:18:23,640 Speaker 1: and they are not going to go away, and they're 302 00:18:23,680 --> 00:18:25,879 Speaker 1: not going to be accommodated, and they're not going to 303 00:18:25,920 --> 00:18:29,479 Speaker 1: see a Kamala Harris radical San Francisco feature as an 304 00:18:29,480 --> 00:18:32,360 Speaker 1: acceptable vision of the country they want to live in 305 00:18:32,400 --> 00:18:36,280 Speaker 1: one way or the other. America will in fact continue 306 00:18:36,800 --> 00:18:39,800 Speaker 1: to evolve and continue to repudiate the left. If I 307 00:18:39,880 --> 00:18:42,280 Speaker 1: were a Democrat and I looked at what happened in 308 00:18:42,320 --> 00:18:46,000 Speaker 1: the Senate, the House, and the state legislatures, I wouldn't 309 00:18:46,040 --> 00:18:48,960 Speaker 1: feel very comfortable and going forward one less comment along 310 00:18:49,000 --> 00:18:51,600 Speaker 1: the line because of all the noise people haven't paid. Potentially, 311 00:18:52,480 --> 00:18:58,040 Speaker 1: Trump got the highest vote among minorities of any Republican 312 00:18:58,240 --> 00:19:01,520 Speaker 1: in sixty years. After all they attacks him as a racist, 313 00:19:01,760 --> 00:19:06,800 Speaker 1: as xenopol he got a higher vote than anybody had 314 00:19:06,800 --> 00:19:10,159 Speaker 1: gotten in sixty years as a Republican. He also did 315 00:19:10,240 --> 00:19:16,200 Speaker 1: remarkably well with Muslim Americans. Ironically, after moving the embassy 316 00:19:16,240 --> 00:19:19,080 Speaker 1: to Jerusalem, he actually is slightly better among Muslim Americans 317 00:19:19,080 --> 00:19:24,760 Speaker 1: and among Jewish Americans. He did very well among married women. Ironically, 318 00:19:25,119 --> 00:19:27,560 Speaker 1: if he had a weakness, it was with white males 319 00:19:27,800 --> 00:19:29,920 Speaker 1: where didn't do quite as well as he did. In sixteen. 320 00:19:30,440 --> 00:19:36,600 Speaker 1: He doubled his vote among African American females and more 321 00:19:36,640 --> 00:19:40,439 Speaker 1: than doubled his vote among African American males. And that 322 00:19:40,520 --> 00:19:44,119 Speaker 1: really is a remarkable achievement at a time when he 323 00:19:44,119 --> 00:19:47,320 Speaker 1: would attack so consistently. So there is something out there 324 00:19:47,720 --> 00:19:50,480 Speaker 1: of people coming together who have begun to see the 325 00:19:50,600 --> 00:19:54,000 Speaker 1: light who realized that all these big institutions are opposed 326 00:19:54,040 --> 00:19:56,119 Speaker 1: to them. And I think, by the way, that that 327 00:19:56,280 --> 00:19:59,800 Speaker 1: movement is going to be dramatically expanded by the reaction 328 00:20:00,320 --> 00:20:03,560 Speaker 1: to the local democratic governors who are so committed to 329 00:20:03,600 --> 00:20:07,240 Speaker 1: dictatorial policies, to controlling your life, to telling you what 330 00:20:07,320 --> 00:20:09,480 Speaker 1: you can and can do. So I think this is 331 00:20:09,520 --> 00:20:12,120 Speaker 1: all going to be fascinating. If you do run across 332 00:20:12,200 --> 00:20:17,080 Speaker 1: serious evidence, send it to us at English three dot com, 333 00:20:17,280 --> 00:20:22,480 Speaker 1: slash Honest Elections, and encourage your friends to remember the 334 00:20:22,640 --> 00:20:25,760 Speaker 1: long history of the United States. This is one more act, 335 00:20:26,240 --> 00:20:28,199 Speaker 1: but that we have every reason to believe that the 336 00:20:28,200 --> 00:20:33,280 Speaker 1: American people, not Donald Trump, not the elites, not the 337 00:20:33,280 --> 00:20:38,480 Speaker 1: news media, not Joe Biden, the American people are capable 338 00:20:38,520 --> 00:20:41,119 Speaker 1: of saving their country, and that they will once again 339 00:20:41,160 --> 00:20:56,560 Speaker 1: do so. I wanted to report in because this is 340 00:20:56,600 --> 00:20:59,399 Speaker 1: such an amazing experience, and I wanted to share with 341 00:20:59,440 --> 00:21:02,879 Speaker 1: you as my own thinking is evolving, just how bizarre 342 00:21:02,960 --> 00:21:06,399 Speaker 1: this all is. I'm writing a piece right now taking 343 00:21:06,440 --> 00:21:09,520 Speaker 1: the movie The Irishman, which is about a mafia hitman, 344 00:21:10,160 --> 00:21:13,399 Speaker 1: and comparing it to the twenty twenty election because the 345 00:21:13,480 --> 00:21:17,920 Speaker 1: level of intimidation, corruption, dishonesty that took place this year 346 00:21:18,280 --> 00:21:20,919 Speaker 1: can only be seen in the context of dealing with 347 00:21:20,960 --> 00:21:23,640 Speaker 1: the mafia and the ways in which they are hiding 348 00:21:23,680 --> 00:21:27,320 Speaker 1: things and the news media is complicit and avoiding looking 349 00:21:27,359 --> 00:21:29,959 Speaker 1: at things is just astonishing. I just want to give 350 00:21:30,000 --> 00:21:32,880 Speaker 1: you a few things. With absentee ballots. The former vice 351 00:21:32,960 --> 00:21:36,000 Speaker 1: president was sixty points up in Pennsylvania, forty points up 352 00:21:36,040 --> 00:21:40,440 Speaker 1: in Michigan, Yet when you go to other states like Ohio, 353 00:21:40,680 --> 00:21:44,320 Speaker 1: his advantage was fifteen point three, Arizona was six point three, 354 00:21:44,440 --> 00:21:48,920 Speaker 1: Georgia was five point four. Very unlikely that there's such 355 00:21:48,920 --> 00:21:53,119 Speaker 1: a huge difference between Minnesota four point nine between the 356 00:21:53,200 --> 00:21:56,160 Speaker 1: kind of stunning vote he's getting in Michigan and Pennsylvania 357 00:21:56,600 --> 00:21:58,480 Speaker 1: and the kind of vote he got in the states 358 00:21:58,800 --> 00:22:01,800 Speaker 1: where that particular thing was out being corrupted. Now they 359 00:22:01,840 --> 00:22:05,440 Speaker 1: point out there was a sudden surge of votes late 360 00:22:05,440 --> 00:22:09,840 Speaker 1: at night that happened in both Wisconsin and Michigan at 361 00:22:09,880 --> 00:22:13,680 Speaker 1: almost exactly the same moment, and you see these things 362 00:22:13,680 --> 00:22:16,560 Speaker 1: starting to develop. It also turns out that when you 363 00:22:16,600 --> 00:22:20,440 Speaker 1: look at the patterns for US Senate candidates and Biden 364 00:22:20,960 --> 00:22:24,680 Speaker 1: that in these key states, for example, in Cuyahoga, Ohio, 365 00:22:25,160 --> 00:22:27,359 Speaker 1: he had a net gain of four thousand votes compared 366 00:22:27,400 --> 00:22:30,440 Speaker 1: to Hillary. In Wayne County, Michigan, it was a net 367 00:22:30,440 --> 00:22:34,000 Speaker 1: gain of seventy thousand. And you have to wonder, so 368 00:22:34,119 --> 00:22:37,920 Speaker 1: what was happening differently in Wayne County, which was Detroit, 369 00:22:38,440 --> 00:22:42,840 Speaker 1: that you would have a jump that was literally sixteen 370 00:22:42,880 --> 00:22:46,280 Speaker 1: and a half times bigger than in a comparable place 371 00:22:46,280 --> 00:22:49,960 Speaker 1: in Ohio. He points out that Joe Biden, with almost 372 00:22:50,040 --> 00:22:55,520 Speaker 1: record glow enthusiasm, underperformed compared to Hillary Clinton. In New 373 00:22:55,600 --> 00:22:58,760 Speaker 1: York City he was down two hundred and one thousand votes, 374 00:22:58,800 --> 00:23:02,119 Speaker 1: in Chicago he was down two hundred and sixty thousand votes, 375 00:23:02,440 --> 00:23:05,280 Speaker 1: and in Miami he was down sixty nine hundred votes. 376 00:23:05,920 --> 00:23:09,320 Speaker 1: But in the states that he needed get suddenly magically, 377 00:23:09,560 --> 00:23:13,720 Speaker 1: in Atlanta, he's up seventy six thousand, In Milwaukee, he's 378 00:23:13,800 --> 00:23:17,880 Speaker 1: up sixty seven thousand. In Pittsburgh he's up twenty nine thousand. 379 00:23:18,320 --> 00:23:20,720 Speaker 1: So you look at that and you think, since all 380 00:23:20,720 --> 00:23:24,120 Speaker 1: of the poland said that people were more enthusiastic about 381 00:23:24,200 --> 00:23:26,760 Speaker 1: voting for Trump than voting for Biden, how did he 382 00:23:26,800 --> 00:23:30,720 Speaker 1: get this kind of massive turnout in Pennsylvania. At the 383 00:23:30,800 --> 00:23:33,680 Speaker 1: end of election night, Trump was ahead by eight hundred 384 00:23:33,720 --> 00:23:38,160 Speaker 1: thousand votes, and then suddenly, over the next few hours 385 00:23:38,680 --> 00:23:42,439 Speaker 1: there was huge dumps. Five thirty eight, which is a 386 00:23:42,720 --> 00:23:45,639 Speaker 1: New York Times spin off that is hardly pro Trump, 387 00:23:46,119 --> 00:23:49,880 Speaker 1: reported that two more batches of Pennsylvania vote reported at 388 00:23:49,920 --> 00:23:53,600 Speaker 1: twenty three thousand, two hundred and seventy seven votes for Biden, 389 00:23:53,920 --> 00:23:58,159 Speaker 1: zero zero for Trump. It's one thing to say he's 390 00:23:58,160 --> 00:24:00,480 Speaker 1: going to get seventy five percent of the vote, but 391 00:24:00,560 --> 00:24:02,760 Speaker 1: one hundred percent of the vote is the kind of 392 00:24:02,840 --> 00:24:07,120 Speaker 1: margin you get in a place like Venezuela or Zimbabwe, 393 00:24:07,320 --> 00:24:09,879 Speaker 1: or Cuba or China. It's not something you get in 394 00:24:10,119 --> 00:24:14,000 Speaker 1: genuinely free society. So you keep going down these things, 395 00:24:14,560 --> 00:24:17,520 Speaker 1: and it is just amazing how many different places we 396 00:24:17,680 --> 00:24:22,280 Speaker 1: know already of one computer system which totally reversed the 397 00:24:22,359 --> 00:24:27,080 Speaker 1: vote at santram County, Michigan, which Trump had carried by 398 00:24:27,240 --> 00:24:31,760 Speaker 1: thirty points in twenty sixteen, but Biden was ahead by 399 00:24:31,760 --> 00:24:35,920 Speaker 1: twenty nine points in two twenty, which couldn't possibly be right. 400 00:24:36,240 --> 00:24:38,359 Speaker 1: And when The New York Times pointed this out on Twitter, 401 00:24:38,720 --> 00:24:41,760 Speaker 1: suddenly they said, oh, there was an error, and they 402 00:24:41,760 --> 00:24:45,800 Speaker 1: suddenly added back in to the Trump majority. And it 403 00:24:45,840 --> 00:24:48,480 Speaker 1: turns out, by the way, that particular kind of computer 404 00:24:49,160 --> 00:24:52,440 Speaker 1: actually is in use all over the United States, and 405 00:24:52,480 --> 00:24:55,760 Speaker 1: so there's really good reason to wonder how many places 406 00:24:56,280 --> 00:24:59,600 Speaker 1: was that computer program wrong, because these are programming heres, 407 00:24:59,600 --> 00:25:05,359 Speaker 1: these are human errors. Ron Blogoievic's the former governor of Illinois, said, 408 00:25:05,600 --> 00:25:09,040 Speaker 1: there's no question what's happening in Philadelphia, Milwaukee, detroyed other cities. 409 00:25:09,280 --> 00:25:12,000 Speaker 1: He said, quote in big cities where they control the 410 00:25:12,000 --> 00:25:14,920 Speaker 1: political apparatus, and they control the apparatus that counts the votes, 411 00:25:15,200 --> 00:25:17,800 Speaker 1: and they control the polling places and the ones who 412 00:25:17,840 --> 00:25:22,520 Speaker 1: count the votes, it's widespread and it's deep. So these 413 00:25:22,560 --> 00:25:25,359 Speaker 1: are the kind of things we're seeing over and over again. 414 00:25:25,400 --> 00:25:27,879 Speaker 1: There's also reports of people who are dead voting in 415 00:25:28,080 --> 00:25:31,840 Speaker 1: fairly significant numbers. Somebody came in and actually took the 416 00:25:31,880 --> 00:25:35,960 Speaker 1: Sobiecurity death Index on your voter information and then compared 417 00:25:36,000 --> 00:25:38,320 Speaker 1: it with what was happening. So there was a guy 418 00:25:38,400 --> 00:25:41,720 Speaker 1: named William who died in nineteen eighty four at the 419 00:25:41,720 --> 00:25:44,200 Speaker 1: age of eighty two, but he applied for absince he 420 00:25:44,280 --> 00:25:48,440 Speaker 1: balloted on September eleventh. He submitted it on September nineteenth. 421 00:25:48,520 --> 00:25:54,160 Speaker 1: They've been actively voting dead people for several months before 422 00:25:54,720 --> 00:25:57,000 Speaker 1: the election. I mean, this was not a last minute thing. 423 00:25:57,359 --> 00:25:59,120 Speaker 1: These were people who had figured out that they had 424 00:25:59,160 --> 00:26:02,280 Speaker 1: to win Pennsylvania, Michigan, and if they could add to 425 00:26:02,320 --> 00:26:06,560 Speaker 1: that Georgia and Arizona and Wisconsin, then it was over. 426 00:26:06,640 --> 00:26:10,560 Speaker 1: So they focused their efforts in a handful of states 427 00:26:10,600 --> 00:26:13,920 Speaker 1: that were just sort of remarkable. So I'm going to 428 00:26:13,960 --> 00:26:16,280 Speaker 1: continue to dig into this. We have an entire project 429 00:26:16,600 --> 00:26:20,960 Speaker 1: at Gingish three sixty and we will be publishing material 430 00:26:21,040 --> 00:26:24,280 Speaker 1: there and if you go to Gingwish three sixty slash 431 00:26:24,640 --> 00:26:27,280 Speaker 1: Honest Elections, you'll be able to send us stuff that 432 00:26:27,320 --> 00:26:30,560 Speaker 1: you want us to see. It is just remarkable how 433 00:26:30,640 --> 00:26:33,679 Speaker 1: much we're learning and the intimidation. We have people who 434 00:26:33,720 --> 00:26:37,960 Speaker 1: are saying, yes, what you're talking about is true, but 435 00:26:39,200 --> 00:26:41,159 Speaker 1: I am afraid to say anything. I had literally one 436 00:26:41,200 --> 00:26:43,520 Speaker 1: person say to me, I would probably be put out 437 00:26:43,520 --> 00:26:46,440 Speaker 1: of business in the city that I'm in if I 438 00:26:46,480 --> 00:26:49,040 Speaker 1: were to testify to what I know is true, and 439 00:26:49,080 --> 00:26:51,480 Speaker 1: so I don't want to risk my family and my business. 440 00:26:51,760 --> 00:26:55,760 Speaker 1: So that level of intimidation is out there, and there's 441 00:26:55,840 --> 00:26:58,800 Speaker 1: just an amazing range. The Nevada Republican Party, by the way, 442 00:26:59,200 --> 00:27:01,639 Speaker 1: send a letter to the Attorney General Barr saying that 443 00:27:01,680 --> 00:27:05,800 Speaker 1: they've identified three thousand individuals who appear to improperly cast 444 00:27:05,920 --> 00:27:08,880 Speaker 1: mail ballots in the election. So a lot to learn, 445 00:27:08,920 --> 00:27:11,160 Speaker 1: a lot to look at still, and I just want 446 00:27:11,200 --> 00:27:12,800 Speaker 1: to let you know that I'm going to continue working 447 00:27:12,840 --> 00:27:15,840 Speaker 1: on this. I don't care what the networks say. We're 448 00:27:15,880 --> 00:27:18,760 Speaker 1: a long way from finishing this process. And every time 449 00:27:18,800 --> 00:27:21,760 Speaker 1: I turn around, I get new emails with new examples 450 00:27:21,800 --> 00:27:25,280 Speaker 1: of corruption and how it was done and how deeply 451 00:27:25,359 --> 00:27:29,320 Speaker 1: determined the machine was to steal these states. Stay tuned 452 00:27:29,359 --> 00:27:31,600 Speaker 1: as always. I will try to keep reporting as I 453 00:27:31,680 --> 00:27:38,040 Speaker 1: learned things. If you run across examples of evidence proof 454 00:27:38,680 --> 00:27:42,240 Speaker 1: of fraud and voting or in counting who work to 455 00:27:42,320 --> 00:27:44,359 Speaker 1: run across people willing to talk with us about it, 456 00:27:45,080 --> 00:27:51,399 Speaker 1: contact us by writing to English three dot com. Slash 457 00:27:51,600 --> 00:27:56,040 Speaker 1: Honest Elections. Newts World is produced by gaining Which three 458 00:27:56,160 --> 00:28:01,680 Speaker 1: sixty and iHeartMedia. Our executive producer is Most, our producer 459 00:28:01,760 --> 00:28:05,400 Speaker 1: is Guards his Sla, and our researcher is Rachel Peterson. 460 00:28:06,040 --> 00:28:09,840 Speaker 1: The artwork for the show was created by Steven Special 461 00:28:09,880 --> 00:28:13,719 Speaker 1: things to the team at Gingwich three sixty. Please email 462 00:28:13,760 --> 00:28:16,800 Speaker 1: me with your questions at Gingwich three sixty dot com. 463 00:28:16,800 --> 00:28:21,720 Speaker 1: Slash questions. I'll answer a selection of questions in future episodes. 464 00:28:22,600 --> 00:28:25,400 Speaker 1: If you've been enjoying news World, I hope you'll go 465 00:28:25,520 --> 00:28:29,440 Speaker 1: to Apple Podcasts and both rate us with five stars 466 00:28:29,720 --> 00:28:32,399 Speaker 1: and give us a review so others can learn what 467 00:28:32,480 --> 00:28:36,399 Speaker 1: it's all about. I'm new Gingwich. This is news World.