1 00:00:00,200 --> 00:00:01,120 Speaker 1: Well we've come in. 2 00:00:02,759 --> 00:00:04,120 Speaker 2: Your city. 3 00:00:05,320 --> 00:00:05,960 Speaker 3: One of they. 4 00:00:06,040 --> 00:00:10,800 Speaker 1: Gets saying you are conn will be desire? 5 00:00:11,640 --> 00:00:16,479 Speaker 4: How tell? And if you want a little banging a. 6 00:00:16,600 --> 00:00:20,119 Speaker 5: Union, I come along the DNC and it's media organs 7 00:00:21,120 --> 00:00:24,959 Speaker 5: engineer a surge of popularity for Vice President Harris based 8 00:00:25,040 --> 00:00:29,080 Speaker 5: upon oh nothing only smoking mirrors. 9 00:00:29,200 --> 00:00:31,520 Speaker 1: Is it now the position of the Democrats that they 10 00:00:31,720 --> 00:00:32,920 Speaker 1: favored the border wall? 11 00:00:33,560 --> 00:00:36,960 Speaker 6: Well, you can ask the Horris campaign about that. 12 00:00:37,040 --> 00:00:37,240 Speaker 3: Head. 13 00:00:37,360 --> 00:00:38,560 Speaker 4: Let's be perfectly clear. 14 00:00:39,320 --> 00:00:43,559 Speaker 7: The president's medieval vanity project is not going to stop them. 15 00:00:45,680 --> 00:00:54,200 Speaker 8: O'clock sixty eight days left until the presidential election. 16 00:00:55,320 --> 00:00:56,320 Speaker 4: We're coming. 17 00:00:57,520 --> 00:01:03,320 Speaker 1: To your city, go way and saying you a concert. 18 00:01:02,960 --> 00:01:11,520 Speaker 8: Song from coast to coast, from border to border, from 19 00:01:11,600 --> 00:01:16,800 Speaker 8: c to Shining Sea. Sean Kennedy is on. 20 00:01:20,959 --> 00:01:21,080 Speaker 6: HI. 21 00:01:21,160 --> 00:01:23,560 Speaker 1: It's Peter Schweizer. I'm here with Eric Eggers. We're filling 22 00:01:23,600 --> 00:01:25,880 Speaker 1: in for Sean. You can join the conversation one ane 23 00:01:25,920 --> 00:01:29,240 Speaker 1: hundred nine four one seven three two six one nine 24 00:01:29,319 --> 00:01:32,839 Speaker 1: four one sewn. So we are watching with bated breath 25 00:01:33,000 --> 00:01:35,760 Speaker 1: as Kamala Harrison Tim Walls sit down with Dana Bash 26 00:01:35,760 --> 00:01:39,319 Speaker 1: of CNN. This is being treated as a historic event 27 00:01:39,400 --> 00:01:41,760 Speaker 1: that she's actually talking to somebody in the press, and 28 00:01:41,800 --> 00:01:45,000 Speaker 1: we have a video clip that has been released by 29 00:01:45,080 --> 00:01:49,920 Speaker 1: CNN which is her explaining in this interview why some 30 00:01:50,000 --> 00:01:52,480 Speaker 1: of her positions on key issues have changed. Eric, I 31 00:01:52,520 --> 00:01:55,559 Speaker 1: want to get your reaction, everybody. Let's listen to this clip. 32 00:01:55,840 --> 00:02:00,200 Speaker 9: Generally speaking, how should voters look at some of the 33 00:02:00,280 --> 00:02:03,600 Speaker 9: changes that you've made that you've explained some of here 34 00:02:04,240 --> 00:02:05,800 Speaker 9: in your policy. 35 00:02:05,960 --> 00:02:08,600 Speaker 4: Is it because you have more experience now and you've 36 00:02:08,639 --> 00:02:09,960 Speaker 4: learned more about the. 37 00:02:09,880 --> 00:02:13,640 Speaker 9: Information, it because you were running for president and a 38 00:02:13,680 --> 00:02:18,160 Speaker 9: Democratic primary? And should they feel comfortable and confident that 39 00:02:18,200 --> 00:02:20,520 Speaker 9: what you're saying now is going to be your policy 40 00:02:20,560 --> 00:02:21,160 Speaker 9: moving forward? 41 00:02:21,800 --> 00:02:26,160 Speaker 7: Dan, I think the most important and most significant aspect 42 00:02:26,480 --> 00:02:30,480 Speaker 7: of my policy perspective and decisions is my values have 43 00:02:30,520 --> 00:02:31,120 Speaker 7: not changed. 44 00:02:32,040 --> 00:02:33,360 Speaker 4: You mentioned the Green New Deal. 45 00:02:34,919 --> 00:02:37,799 Speaker 7: I have always believed and I have worked on it, 46 00:02:38,120 --> 00:02:41,280 Speaker 7: that the climate crisis is real, that it is an 47 00:02:41,400 --> 00:02:45,000 Speaker 7: urgent matter to which we should apply metrics that include 48 00:02:45,160 --> 00:02:50,680 Speaker 7: holding ourselves to deadlines around time. We did that with 49 00:02:50,760 --> 00:02:53,720 Speaker 7: the Inflation Reduction Act. We have set goals for the 50 00:02:53,800 --> 00:02:57,040 Speaker 7: United States of America and by extension, the globe around 51 00:02:57,120 --> 00:03:00,519 Speaker 7: when we should meet certain standards for reduction of greenhouse 52 00:03:00,520 --> 00:03:03,960 Speaker 7: gas emissions. As an example. That value has not changed. 53 00:03:04,360 --> 00:03:06,760 Speaker 7: My value around what we need to do to secure 54 00:03:06,760 --> 00:03:07,280 Speaker 7: our border. 55 00:03:07,440 --> 00:03:08,600 Speaker 4: That value has not changed. 56 00:03:08,680 --> 00:03:12,360 Speaker 7: I spent two terms as the Attorney General of California 57 00:03:12,520 --> 00:03:18,600 Speaker 7: prosecuting transnational criminal organizations violations of American laws regarding the 58 00:03:18,639 --> 00:03:22,040 Speaker 7: passage illegal passage of guns, drugs, and human beings across 59 00:03:22,040 --> 00:03:22,760 Speaker 7: our border. 60 00:03:22,960 --> 00:03:24,400 Speaker 4: My values have not changed. 61 00:03:25,880 --> 00:03:28,639 Speaker 1: So Eric, your reaction to this first clip from the 62 00:03:28,720 --> 00:03:29,720 Speaker 1: Kamala Harris interview. 63 00:03:30,680 --> 00:03:33,280 Speaker 2: So her values haven't changed, but the things that she 64 00:03:33,360 --> 00:03:36,840 Speaker 2: supports have, I mean, the way and she didn't answer 65 00:03:36,880 --> 00:03:39,000 Speaker 2: the question. There's so much there. We can talk about 66 00:03:39,000 --> 00:03:41,600 Speaker 2: that clip alone for the rest of the show. We 67 00:03:41,640 --> 00:03:43,800 Speaker 2: won't because we have such a question. Start with the question. 68 00:03:44,040 --> 00:03:46,880 Speaker 2: So we looked it up during the break. And Dana 69 00:03:46,920 --> 00:03:49,880 Speaker 2: Bash has a child, and she and John King share 70 00:03:49,920 --> 00:03:53,520 Speaker 2: a son together, John King of CNN. And why I 71 00:03:53,600 --> 00:03:56,480 Speaker 2: was interested about that is because I think most child 72 00:03:56,520 --> 00:03:58,800 Speaker 2: psychologists would tell you that that's not a great way 73 00:03:58,840 --> 00:04:00,840 Speaker 2: to talk to even a child. Because what she just 74 00:04:01,000 --> 00:04:04,000 Speaker 2: did is she asked a question and then she gave 75 00:04:04,080 --> 00:04:07,000 Speaker 2: her two answers, Like it's almost like, Hey, how come 76 00:04:07,040 --> 00:04:09,000 Speaker 2: you won't stay in bed? Is it because you're you 77 00:04:09,040 --> 00:04:12,480 Speaker 2: need some water. Is it because you like the light's 78 00:04:12,520 --> 00:04:15,480 Speaker 2: too bright as opposed to, hey, you're not doing the 79 00:04:15,560 --> 00:04:19,400 Speaker 2: right thing, stop it. Yeah, So the question should be simple, 80 00:04:19,440 --> 00:04:22,080 Speaker 2: how come you flip flopped on things like your support 81 00:04:22,200 --> 00:04:25,200 Speaker 2: for Trump's border wall, even though you have a number 82 00:04:25,200 --> 00:04:27,799 Speaker 2: of times what you called it, this medieval vanity project 83 00:04:27,839 --> 00:04:30,240 Speaker 2: and something that you have actively campaigned against. I mean, 84 00:04:30,240 --> 00:04:32,160 Speaker 2: that's a specific and it's a good question. But then 85 00:04:32,200 --> 00:04:36,120 Speaker 2: for her to provide an answer like you would a toddler, 86 00:04:36,520 --> 00:04:38,760 Speaker 2: I think I can't help but think about the thing 87 00:04:38,839 --> 00:04:41,520 Speaker 2: you talked about earlier in the show, which is this 88 00:04:41,560 --> 00:04:43,760 Speaker 2: book that came out last year in which a number 89 00:04:43,800 --> 00:04:47,120 Speaker 2: of people connected to the Democratic Party said she is 90 00:04:47,200 --> 00:04:48,800 Speaker 2: not ready for a prime time I don't know that 91 00:04:48,800 --> 00:04:52,120 Speaker 2: that clip does anything to change that policy perspective. 92 00:04:52,160 --> 00:04:53,760 Speaker 1: Now, you're right, I mean, if you look, if you 93 00:04:53,800 --> 00:04:56,000 Speaker 1: watch the video, it looks like she's kind of struggling. 94 00:04:56,160 --> 00:04:57,800 Speaker 1: And I would agree with you that was not even 95 00:04:57,960 --> 00:05:00,920 Speaker 1: just a softball question. That was a t ball question. 96 00:05:01,000 --> 00:05:03,160 Speaker 1: I mean she laid it right there and let her 97 00:05:03,200 --> 00:05:05,760 Speaker 1: swing on it, and she didn't answer the question in 98 00:05:05,880 --> 00:05:07,279 Speaker 1: any meaningful way. 99 00:05:07,600 --> 00:05:09,479 Speaker 2: How about they also the you know, there's the whole 100 00:05:09,520 --> 00:05:13,080 Speaker 2: Kamala sera, Kamala Harris a word, solid issue. Yeah, so 101 00:05:13,680 --> 00:05:16,880 Speaker 2: metrics we should hold ourselves to. Metrics that include holding 102 00:05:16,960 --> 00:05:21,680 Speaker 2: ourselves to deadlines around time. Like we've all been in 103 00:05:21,839 --> 00:05:25,320 Speaker 2: meetings when you go to the person who has the position, 104 00:05:25,520 --> 00:05:29,480 Speaker 2: but maybe not like the heft behind it. And that's 105 00:05:29,560 --> 00:05:32,120 Speaker 2: exactly what you would hear. Let me get you some 106 00:05:32,160 --> 00:05:33,680 Speaker 2: words on that. I'm good. 107 00:05:33,360 --> 00:05:35,359 Speaker 1: I've got a new phrase now to use with my 108 00:05:35,400 --> 00:05:38,400 Speaker 1: book publishers if I miss a deadline. Well, that, according 109 00:05:38,400 --> 00:05:41,000 Speaker 1: to Kamala Harris, was not a deadline around time. That 110 00:05:41,120 --> 00:05:43,640 Speaker 1: was just a deadline. Yeah, I mean, it's it's a 111 00:05:43,720 --> 00:05:46,520 Speaker 1: ridiculous statement. So it's gonna be interesting to see what 112 00:05:46,640 --> 00:05:49,840 Speaker 1: else they come up with. Again, I don't think it's 113 00:05:49,920 --> 00:05:55,400 Speaker 1: gonna provoke a lot of confidence in people because based 114 00:05:55,400 --> 00:05:58,520 Speaker 1: on just that one question, Dana Bash did not treat 115 00:05:58,560 --> 00:06:01,480 Speaker 1: her like she does she would any other politician generally, 116 00:06:01,480 --> 00:06:04,000 Speaker 1: which would be in twenty nineteen, you said you were 117 00:06:04,040 --> 00:06:08,120 Speaker 1: in favor of fracking. Now you say you don't explain it. 118 00:06:08,320 --> 00:06:09,560 Speaker 1: That's how the question should be asked. 119 00:06:09,600 --> 00:06:12,359 Speaker 2: Why are the lines at your events so long? Is 120 00:06:12,400 --> 00:06:17,360 Speaker 2: it because you're so awesome? Is it because your popularity 121 00:06:17,440 --> 00:06:19,880 Speaker 2: is historical right to answer right exactly. 122 00:06:20,320 --> 00:06:21,760 Speaker 1: So it's going to be interesting to see how the 123 00:06:21,760 --> 00:06:26,159 Speaker 1: plays I. Tim Waltz was sitting there quietly paying attention, 124 00:06:26,400 --> 00:06:28,800 Speaker 1: and we talked in the last hour about the questions 125 00:06:28,839 --> 00:06:31,320 Speaker 1: that Kamala Harris could be asked about her career as 126 00:06:31,320 --> 00:06:34,720 Speaker 1: a prosecutor and the fact that she I would argue 127 00:06:34,760 --> 00:06:38,119 Speaker 1: protected child predators. And I think the record is clear 128 00:06:38,200 --> 00:06:40,760 Speaker 1: on that in California. You look at Tim Waltz and 129 00:06:40,760 --> 00:06:44,680 Speaker 1: I'm wondering, did Dana Bash ask him about his long 130 00:06:44,720 --> 00:06:46,720 Speaker 1: ties to China. We've done a lot of research on this. 131 00:06:46,760 --> 00:06:50,159 Speaker 1: We've talked about this going back some thirty trips that 132 00:06:50,200 --> 00:06:51,120 Speaker 1: he's made to China. 133 00:06:51,800 --> 00:06:54,520 Speaker 2: It's bizarre, by the way, just again you talk about 134 00:06:54,520 --> 00:06:57,360 Speaker 2: consider the context. So Joe Biden has pushed out which 135 00:06:57,400 --> 00:07:00,360 Speaker 2: I don't think we spend enough time just sit there 136 00:07:00,360 --> 00:07:02,320 Speaker 2: for a moment, the fact that the most important man 137 00:07:02,360 --> 00:07:05,240 Speaker 2: in the world was forced to abandon a post he 138 00:07:05,480 --> 00:07:09,279 Speaker 2: won rightfully, including in the twenty twenty four Democratic primary 139 00:07:09,320 --> 00:07:12,240 Speaker 2: this year, because he committed the political stin of like 140 00:07:12,320 --> 00:07:14,360 Speaker 2: being behind in the polls, and the forces are so 141 00:07:14,400 --> 00:07:17,000 Speaker 2: strong they made him do that. So now we've replaced 142 00:07:17,080 --> 00:07:19,360 Speaker 2: him with her. It's the first time is he's been reported. 143 00:07:19,480 --> 00:07:22,480 Speaker 2: There's no Bush, there's no Clinton, there's no Biden on 144 00:07:22,520 --> 00:07:25,680 Speaker 2: a ticket. But they've managed to replace a Biden who had, 145 00:07:25,720 --> 00:07:31,200 Speaker 2: as you've documented, extensively insane and financially profitable connections to China, 146 00:07:31,640 --> 00:07:34,320 Speaker 2: and they managed to have replaced him with someone who 147 00:07:34,360 --> 00:07:36,600 Speaker 2: has even longer ties to China. 148 00:07:36,760 --> 00:07:39,560 Speaker 1: Yeah, longer ties and different ties. But I would argue 149 00:07:39,720 --> 00:07:42,440 Speaker 1: is troubling, maybe even more troubling, because with the Bidens, 150 00:07:42,560 --> 00:07:45,600 Speaker 1: it was transactional, right, it was it was about money. 151 00:07:45,600 --> 00:07:48,640 Speaker 1: It was about Hunter collecting money, and by our calculation 152 00:07:48,800 --> 00:07:51,160 Speaker 1: looking at the Hunter Biden laptop, they got some thirty 153 00:07:51,160 --> 00:07:55,080 Speaker 1: one million dollars from Chinese businessmen. You can't say that 154 00:07:55,200 --> 00:07:57,640 Speaker 1: about Tim Wallas. What you can't say about Tim Walls 155 00:07:57,800 --> 00:08:00,320 Speaker 1: is that he is cozied up to China and he's 156 00:08:00,360 --> 00:08:02,240 Speaker 1: what they used to call in the days, I think, 157 00:08:02,320 --> 00:08:06,880 Speaker 1: a fellow traveler. He started this exchange program to bring 158 00:08:06,920 --> 00:08:10,120 Speaker 1: students to China. He would put in his campaigns when 159 00:08:10,120 --> 00:08:13,800 Speaker 1: he's running for Congress that this was an exchange program 160 00:08:13,840 --> 00:08:16,880 Speaker 1: that was endorsed by Harvard. Turns out that's not true. 161 00:08:16,920 --> 00:08:19,720 Speaker 1: It was started by two Harvard graduates, but Harvard had 162 00:08:19,760 --> 00:08:20,600 Speaker 1: nothing to do with it. 163 00:08:20,720 --> 00:08:22,600 Speaker 2: Let's call it Harvard adjacent. 164 00:08:23,120 --> 00:08:27,800 Speaker 1: Exactly, Harvard adjacent good. And it was funded not by Harvard, 165 00:08:27,840 --> 00:08:30,560 Speaker 1: not by these two Harvard graduates. It was actually funded 166 00:08:30,600 --> 00:08:33,199 Speaker 1: by the Chinese. And he admitted this in interviews in 167 00:08:33,240 --> 00:08:36,240 Speaker 1: the nineties, that this was subsidized by the Chinese. And 168 00:08:36,280 --> 00:08:38,480 Speaker 1: he bragged about the fact we get to go special 169 00:08:38,520 --> 00:08:42,880 Speaker 1: places that nobody else gets to go. And he told 170 00:08:42,920 --> 00:08:46,679 Speaker 1: the students that were going on this Number one, minimize 171 00:08:46,760 --> 00:08:49,480 Speaker 1: or downplay you're in americanness, even though this is an 172 00:08:49,520 --> 00:08:51,920 Speaker 1: exchange program. We're supposed to be learning from each other. 173 00:08:52,240 --> 00:08:55,079 Speaker 1: And the second thing is he made these ridiculous comments 174 00:08:55,120 --> 00:08:58,280 Speaker 1: about the Chinese political system. He told students that in 175 00:08:58,400 --> 00:09:01,440 Speaker 1: China's there's no poverty, which is not true, and he 176 00:09:01,480 --> 00:09:05,120 Speaker 1: said that was because in the Chinese system that people share, 177 00:09:05,720 --> 00:09:08,199 Speaker 1: you know, like I always thought sharing was voluntary, right, 178 00:09:08,240 --> 00:09:10,800 Speaker 1: You and I are sharing, But if your parents should 179 00:09:10,840 --> 00:09:13,360 Speaker 1: make you do it, it's not really sharing. And with 180 00:09:13,440 --> 00:09:18,040 Speaker 1: the dictatorial government of China, it's not sharing. It's a dictatorship. 181 00:09:18,120 --> 00:09:23,040 Speaker 1: So he had this incredibly I think naive but pro 182 00:09:23,280 --> 00:09:26,040 Speaker 1: Beijing spin on his activities, and then when he got 183 00:09:26,080 --> 00:09:29,640 Speaker 1: into Congress, you know, this stuff continued. He would criticize 184 00:09:29,679 --> 00:09:31,920 Speaker 1: the Chinese on human rights, but then he would almost 185 00:09:31,920 --> 00:09:33,920 Speaker 1: immediately say, yeah, but you know what, we have our 186 00:09:33,960 --> 00:09:36,480 Speaker 1: problems as well. You had Tim and Square in nineteen 187 00:09:36,520 --> 00:09:40,160 Speaker 1: eighty nine, we had wounded Knee in the nineteenth century. 188 00:09:40,400 --> 00:09:42,800 Speaker 1: And he even told the Chinese premiere in twenty sixteen, you 189 00:09:42,800 --> 00:09:44,600 Speaker 1: know it, don't look to us for human rights because 190 00:09:44,600 --> 00:09:46,200 Speaker 1: we're still trying to figure it out ourselves. 191 00:09:46,240 --> 00:09:48,480 Speaker 2: By the way, you mentioned Tianeman Square. Tim Waltz is 192 00:09:48,520 --> 00:09:52,880 Speaker 2: so connected ideologically to China that he chose June fourth 193 00:09:52,920 --> 00:09:55,120 Speaker 2: as the anniversary that he would get married on, and 194 00:09:55,120 --> 00:09:57,000 Speaker 2: his wife said it's because he wanted to have a 195 00:09:57,080 --> 00:10:00,160 Speaker 2: date he would remember. And also, and this is a 196 00:10:00,160 --> 00:10:02,079 Speaker 2: a very serious thing. I mean, Hunter Biden. It's now 197 00:10:02,120 --> 00:10:04,520 Speaker 2: even the DOJ admits, yes, Hunter Biden took foreign money, 198 00:10:04,559 --> 00:10:07,720 Speaker 2: probably to try to influence US government policy. You know, 199 00:10:07,920 --> 00:10:09,600 Speaker 2: whether he's pardoned by his father or not, that remains 200 00:10:09,640 --> 00:10:11,160 Speaker 2: to be seen. But that's a story you literally broke 201 00:10:11,280 --> 00:10:14,080 Speaker 2: over six years ago. You've now, in the last three 202 00:10:14,120 --> 00:10:16,439 Speaker 2: weeks plus, have been doing it extensive research into Tim 203 00:10:16,440 --> 00:10:19,400 Speaker 2: waltson his Chinese ties. And we've heard from people in 204 00:10:19,440 --> 00:10:21,160 Speaker 2: the military community because one of the things that we 205 00:10:21,160 --> 00:10:23,520 Speaker 2: talked about with Hunter Biden China is we had thirty 206 00:10:23,600 --> 00:10:26,880 Speaker 2: one million dollars at least connected to the Chinese intelligence, 207 00:10:26,960 --> 00:10:30,880 Speaker 2: the espionage world of China that's sending thirty one million 208 00:10:30,880 --> 00:10:33,319 Speaker 2: dollars to the Biden family. That's what China does. They 209 00:10:33,360 --> 00:10:36,040 Speaker 2: try to it's an intelligence gathering operation. They will they 210 00:10:36,160 --> 00:10:38,720 Speaker 2: happen to bribe to do it. Tim Waltz has his 211 00:10:38,720 --> 00:10:41,160 Speaker 2: own connections that way, or at least it seems like 212 00:10:41,200 --> 00:10:42,439 Speaker 2: he might fit the profile. 213 00:10:42,679 --> 00:10:45,360 Speaker 1: Oh, there's no question. And look, all these exchange programs 214 00:10:45,400 --> 00:10:49,600 Speaker 1: are run by the CCP International Department in conjunction with 215 00:10:49,679 --> 00:10:52,600 Speaker 1: the Ministry of State Security. This is what they do. 216 00:10:52,679 --> 00:10:55,440 Speaker 1: And just just a small story that shows you how 217 00:10:55,559 --> 00:10:58,760 Speaker 1: closely they have watched Tim Waltz. This is the story 218 00:10:58,760 --> 00:11:00,559 Speaker 1: that Tim Walt's actually tell. 219 00:11:00,200 --> 00:11:01,720 Speaker 2: Listen to this because this is insane. 220 00:11:01,800 --> 00:11:04,360 Speaker 1: Yeah, So he meets the premiere of China, the number 221 00:11:04,360 --> 00:11:07,439 Speaker 1: two guy, a guy named Lee, in twenty sixteen when 222 00:11:07,440 --> 00:11:10,920 Speaker 1: he's over there on a congressional delegation. Weirdly, the delegation 223 00:11:11,040 --> 00:11:13,680 Speaker 1: was only Democrats. There was no Republican there. And Tim 224 00:11:13,720 --> 00:11:16,160 Speaker 1: Woaltz tells the story that he goes to Chinese officials 225 00:11:16,200 --> 00:11:18,880 Speaker 1: and says, you know, I came here in Tibet. I 226 00:11:18,880 --> 00:11:21,960 Speaker 1: think I came to Tibet in December of nineteen eighty nine. 227 00:11:22,040 --> 00:11:24,200 Speaker 1: And they interrupted him and said, no, you were there 228 00:11:24,200 --> 00:11:27,240 Speaker 1: in February of nineteen ninety the Chinese official. Yeah, so 229 00:11:27,280 --> 00:11:30,439 Speaker 1: they knew many six years later. Yes, they knew exactly 230 00:11:30,480 --> 00:11:32,720 Speaker 1: where he was going. They knew exactly what he was 231 00:11:32,760 --> 00:11:36,679 Speaker 1: going to do. And when he became governor of Minnesota, 232 00:11:36,960 --> 00:11:40,480 Speaker 1: this trend continued. I mean, he continued to make excuses 233 00:11:40,520 --> 00:11:43,319 Speaker 1: for Chinese human rights violations to the extent of equitting 234 00:11:43,320 --> 00:11:46,080 Speaker 1: them with the United States. But he also gave speeches 235 00:11:46,120 --> 00:11:48,440 Speaker 1: to these United Front groups. He gave a speech as 236 00:11:48,480 --> 00:11:51,200 Speaker 1: governor in twenty nineteen to a group that's known to 237 00:11:51,240 --> 00:11:54,720 Speaker 1: be tied to the CCP and the Chinese spy apparatus. 238 00:11:54,840 --> 00:11:58,480 Speaker 1: He was the only government official to speak. He was 239 00:11:58,520 --> 00:12:01,760 Speaker 1: a keynote speaker there. Everybody else was like a Chinese 240 00:12:01,760 --> 00:12:04,440 Speaker 1: cultural figure. He was the only one that did that. 241 00:12:04,640 --> 00:12:09,160 Speaker 1: And he also is governor of Minnesota, is the chairman 242 00:12:09,200 --> 00:12:12,920 Speaker 1: of the Investment Board, and he poured money into China 243 00:12:12,960 --> 00:12:14,720 Speaker 1: when a lot of other people were saying, Hey, we 244 00:12:14,760 --> 00:12:15,040 Speaker 1: need to. 245 00:12:15,040 --> 00:12:19,439 Speaker 2: Take a pause. We're broadcasting live from Florida right now. Florida, Indiana, Missouri, 246 00:12:19,520 --> 00:12:22,920 Speaker 2: or among the states that have banned investments they've divested 247 00:12:23,360 --> 00:12:25,760 Speaker 2: from Chinese funds. Minnesota went the other way. In the 248 00:12:25,880 --> 00:12:29,800 Speaker 2: last three years. They've poured nine hundred million dollars of 249 00:12:29,800 --> 00:12:33,959 Speaker 2: Minnesota tax payer money into Chinese backed funds. That's more 250 00:12:34,120 --> 00:12:36,200 Speaker 2: over the last three years than any other state. That's right, 251 00:12:36,280 --> 00:12:38,440 Speaker 2: and it could be a coincidence. But when you consider, 252 00:12:38,480 --> 00:12:41,280 Speaker 2: as Kamala Harris likes to see the context of the moment, 253 00:12:42,200 --> 00:12:44,480 Speaker 2: it adds up to I think a profile again, you 254 00:12:44,559 --> 00:12:47,200 Speaker 2: replace the guy with Chinese ties with somebody else with 255 00:12:47,240 --> 00:12:50,199 Speaker 2: different Chinese ties. You think ideological, which makes it more 256 00:12:50,240 --> 00:12:52,800 Speaker 2: of a threat. But that's among the questions we don't 257 00:12:52,800 --> 00:12:54,760 Speaker 2: expect Dana Bash to answered. But if she does, she'll 258 00:12:54,760 --> 00:12:57,800 Speaker 2: probably say, are you Chinese tied? And if so, is 259 00:12:57,840 --> 00:12:59,080 Speaker 2: it just because you like the food? 260 00:13:01,080 --> 00:13:03,400 Speaker 1: That's probably how Dana Bash would ask the question. That's 261 00:13:03,440 --> 00:13:06,559 Speaker 1: exactly right. And you know, look, this is the problem again. 262 00:13:06,679 --> 00:13:08,680 Speaker 1: The reason that we have to do that is because 263 00:13:08,679 --> 00:13:10,520 Speaker 1: the media is not doing it. Dana Bash is not 264 00:13:10,559 --> 00:13:13,120 Speaker 1: going to do it, and we're going to continue to 265 00:13:13,160 --> 00:13:16,480 Speaker 1: do it because somebody has to vet these people, regardless 266 00:13:16,480 --> 00:13:19,079 Speaker 1: of what their political positions are, regardless of where they 267 00:13:19,120 --> 00:13:21,880 Speaker 1: stand on the political spectrum, We're going to investigate the 268 00:13:21,880 --> 00:13:23,000 Speaker 1: people nobody else is. 269 00:13:23,200 --> 00:13:25,559 Speaker 2: We'll see whether those questions come up in the interview tonight. 270 00:13:25,600 --> 00:13:27,240 Speaker 2: If there's more clips, the play will play. Then we'll 271 00:13:27,240 --> 00:13:29,559 Speaker 2: also take your calls. Next. It's one eight hundred and 272 00:13:29,600 --> 00:13:33,960 Speaker 2: nine four one sewn seven six. He's Peter Schweitzer, Americ Eggers. 273 00:13:34,000 --> 00:13:35,640 Speaker 2: We're from the drill Down dot Com. We're hosting the 274 00:13:35,679 --> 00:13:38,440 Speaker 2: Sean Handy Show. Welcome back to the Seawan Handy Show. 275 00:13:38,559 --> 00:13:40,520 Speaker 2: Eric Eggers and Peter Schweitzer from the drill Down dot 276 00:13:40,520 --> 00:13:43,160 Speaker 2: Com filling in for Sean. Today, we've got Mike from 277 00:13:43,200 --> 00:13:44,960 Speaker 2: Ohio Online. One. Mike, what's on your mind? 278 00:13:46,480 --> 00:13:49,120 Speaker 6: Well, you two need to tip the call screener because 279 00:13:49,120 --> 00:13:50,839 Speaker 6: she's doing such an excellent job. 280 00:13:52,640 --> 00:13:53,840 Speaker 1: We will do that question. 281 00:13:54,360 --> 00:13:58,320 Speaker 6: Yeah. My question is I was starting to listen to 282 00:13:58,400 --> 00:14:02,600 Speaker 6: kendidate at the beginning when Biden was still in the race, 283 00:14:03,480 --> 00:14:06,200 Speaker 6: and so he caught my interest and I was please 284 00:14:07,440 --> 00:14:12,200 Speaker 6: please that he put his support behind Trump, and I 285 00:14:12,240 --> 00:14:13,719 Speaker 6: wondered what you two thought of that. 286 00:14:15,280 --> 00:14:17,600 Speaker 1: No, I think the thing that's interesting about RFK Junior 287 00:14:17,640 --> 00:14:20,920 Speaker 1: is he's an unconventional candidate, right. He doesn't have standard 288 00:14:21,040 --> 00:14:23,520 Speaker 1: views that are some that are sort of left of center, 289 00:14:23,600 --> 00:14:25,800 Speaker 1: some that are right of center, and he's seems to 290 00:14:25,800 --> 00:14:29,200 Speaker 1: be very genuine in terms of his views. I don't 291 00:14:29,280 --> 00:14:33,360 Speaker 1: know how much the political endorsement will make a difference. 292 00:14:33,400 --> 00:14:35,720 Speaker 1: It could, I think on the margins. I think the 293 00:14:35,800 --> 00:14:38,680 Speaker 1: larger question is is he going to remain on the ballot, right, 294 00:14:38,720 --> 00:14:40,720 Speaker 1: because the Democrats are trying to keep him on the 295 00:14:40,760 --> 00:14:43,320 Speaker 1: ballot more people on the ballot. They are assuming that 296 00:14:43,440 --> 00:14:45,920 Speaker 1: he will siphon votes away from Trump, and at the 297 00:14:45,920 --> 00:14:48,480 Speaker 1: same time, in Michigan, for example, that they want RFK 298 00:14:48,640 --> 00:14:51,560 Speaker 1: to stay on the ballot. Democrats they're trying to get 299 00:14:51,600 --> 00:14:54,480 Speaker 1: Cornell West off the ballot because their fear is that 300 00:14:54,520 --> 00:14:57,120 Speaker 1: Cornell West will drive away from Joe Biden. So it's 301 00:14:57,360 --> 00:15:00,280 Speaker 1: like twenty twenty. They are making up the room rules 302 00:15:00,320 --> 00:15:02,680 Speaker 1: as they go, and the rules are always going to 303 00:15:02,680 --> 00:15:05,400 Speaker 1: be put in a position in a way that benefits 304 00:15:05,440 --> 00:15:06,480 Speaker 1: one political party. 305 00:15:06,560 --> 00:15:08,640 Speaker 2: Yeah, thank you for the call, Michael. It's a good question, 306 00:15:08,680 --> 00:15:10,240 Speaker 2: and I think the point that Peter just made is 307 00:15:10,240 --> 00:15:14,000 Speaker 2: the most important one, because this is another example I 308 00:15:14,040 --> 00:15:16,760 Speaker 2: think of hypocrisy manifest at the highest levels. We're told 309 00:15:16,800 --> 00:15:19,400 Speaker 2: that democracy is on the ballot. While you've taken someone 310 00:15:19,400 --> 00:15:22,800 Speaker 2: who won all the primary votes in Joe Biden, you've 311 00:15:22,800 --> 00:15:25,920 Speaker 2: taken him off the ballot. You've replaced him with someone 312 00:15:25,960 --> 00:15:28,600 Speaker 2: who received no primary votes. I mean, think about this. 313 00:15:28,600 --> 00:15:30,280 Speaker 2: It's kind of the same thing they sort of rigged 314 00:15:30,280 --> 00:15:33,160 Speaker 2: in twenty sixteen. They fundamentally changed the way we cast 315 00:15:33,200 --> 00:15:37,320 Speaker 2: elections and votes in twenty twenty, and now they're just deciding, okay, well, 316 00:15:37,400 --> 00:15:40,840 Speaker 2: Cornell West, you might be a threat to Kamala Harris, 317 00:15:40,840 --> 00:15:44,040 Speaker 2: so you have to go RFK, you have to stay, 318 00:15:44,240 --> 00:15:47,480 Speaker 2: which is literally what Michigan, Colorado, and Wisconsin have said. 319 00:15:47,680 --> 00:15:50,400 Speaker 2: They said, because he's already won his primary, they can't 320 00:15:50,400 --> 00:15:52,800 Speaker 2: take his name off of the ballot. Meanwhile, at Michigan, 321 00:15:52,800 --> 00:15:56,040 Speaker 2: they're sort of raising questions about the validity of signatures 322 00:15:56,040 --> 00:15:59,640 Speaker 2: for corn O West, which is impressive and amusing because 323 00:15:59,720 --> 00:16:03,040 Speaker 2: early this year the Republican Party sued Michigan over the 324 00:16:03,080 --> 00:16:05,120 Speaker 2: bloat in their voter roles because they think you have 325 00:16:05,400 --> 00:16:08,920 Speaker 2: up to half a million ineligible voters still on your roles, 326 00:16:09,240 --> 00:16:11,120 Speaker 2: which Michigan's Secretary of State, which by the way, is 327 00:16:11,120 --> 00:16:12,920 Speaker 2: put in place by George Soros, agrees. 328 00:16:12,640 --> 00:16:15,480 Speaker 1: With, yeah, yeah, yeah, No, it's remarkable. And this is 329 00:16:15,520 --> 00:16:19,360 Speaker 1: the problem. We're seeing a breakdown in our governance in 330 00:16:19,440 --> 00:16:22,400 Speaker 1: the manner in which they interpret laws. And I understand 331 00:16:22,480 --> 00:16:26,760 Speaker 1: sometimes laws are vague and sometimes are unclear, but the 332 00:16:26,800 --> 00:16:30,440 Speaker 1: fact that you have seen everything become so politicized. And 333 00:16:30,480 --> 00:16:33,920 Speaker 1: again this is being done largely by Democrats who have 334 00:16:34,200 --> 00:16:37,400 Speaker 1: argued now for a long period of time that it's 335 00:16:37,440 --> 00:16:41,120 Speaker 1: Donald Trump that is the existential threat to our institutions. 336 00:16:41,240 --> 00:16:44,760 Speaker 2: No, it's insane the way, the brazenness with which they 337 00:16:44,800 --> 00:16:47,080 Speaker 2: say the thing that's not true when the opposite is true. 338 00:16:47,760 --> 00:16:50,080 Speaker 2: Just like when Tim Waltz said that they're the Party 339 00:16:50,120 --> 00:16:52,240 Speaker 2: of Freedom. You can hear from somebody next who will 340 00:16:52,240 --> 00:16:55,240 Speaker 2: tell you exactly how free they weren't in Tim Watson's Minnesota. 341 00:16:55,240 --> 00:16:58,840 Speaker 2: That's next on the John Handy Show, John Hannity, always 342 00:16:58,920 --> 00:17:04,240 Speaker 2: concerned for our country, always honoring our servicemen and service women, 343 00:17:04,520 --> 00:17:08,800 Speaker 2: and standing up for liberty every day. 344 00:17:09,720 --> 00:17:11,879 Speaker 1: Hey is Peter Schweizer. I'm here with Eric Eggers. We 345 00:17:11,880 --> 00:17:15,240 Speaker 1: are filling in for Sean. We do the Drill Down podcast, 346 00:17:15,720 --> 00:17:18,640 Speaker 1: and we have a very special guest that is joining 347 00:17:18,720 --> 00:17:22,320 Speaker 1: us on the line, Lisa Hanson. She's a grandmother and 348 00:17:22,359 --> 00:17:25,240 Speaker 1: a former wine and coffee bistro owner in the town 349 00:17:25,320 --> 00:17:28,240 Speaker 1: of Albert Lee, Minnesota that I've been to. By the way, 350 00:17:28,560 --> 00:17:31,679 Speaker 1: the people there are so friendly and so nice, and 351 00:17:31,760 --> 00:17:35,160 Speaker 1: yet when you hear Lisa's story, you're going to be shocked. 352 00:17:35,240 --> 00:17:39,359 Speaker 1: Go back to twenty twenty. This is the COVID lockdown 353 00:17:39,440 --> 00:17:44,479 Speaker 1: that Tim Wallas has instituted. Draconian, yes, and of course 354 00:17:44,600 --> 00:17:47,640 Speaker 1: you know he says otherwise, but the facts are there, 355 00:17:47,840 --> 00:17:51,960 Speaker 1: and the lockdown was in place. All sorts of businesses 356 00:17:51,960 --> 00:17:55,680 Speaker 1: were shut down, including the Interchange wine and coffee bistro 357 00:17:56,320 --> 00:17:59,800 Speaker 1: that Lisa rand. Meanwhile, the governor should never shut down 358 00:18:00,000 --> 00:18:03,320 Speaker 1: bicker stores, big box stores, or even strip clubs because 359 00:18:03,320 --> 00:18:07,680 Speaker 1: those were apparently essential. And this grandmother of eighteen children, 360 00:18:07,840 --> 00:18:15,720 Speaker 1: grandchildren was thrown in jail. Lisa, are you there? We 361 00:18:15,760 --> 00:18:18,720 Speaker 1: have Lisa, Lisa, are you there? 362 00:18:19,359 --> 00:18:20,000 Speaker 10: Can you hear me? 363 00:18:20,800 --> 00:18:21,040 Speaker 2: Yes? 364 00:18:21,160 --> 00:18:21,840 Speaker 1: Hey, how are you? 365 00:18:21,920 --> 00:18:22,200 Speaker 2: Lisa? 366 00:18:22,280 --> 00:18:24,640 Speaker 1: It's a great thank you so much for joining us. 367 00:18:24,680 --> 00:18:27,840 Speaker 1: So I read this story and I was frankly shocked. 368 00:18:28,280 --> 00:18:32,119 Speaker 1: And part of it is everybody hears about Minnesota nice 369 00:18:33,040 --> 00:18:36,000 Speaker 1: and Tim Waltz is telling us on his convention speech 370 00:18:36,160 --> 00:18:40,119 Speaker 1: that you know he's all about freedom. Tell us exactly 371 00:18:40,200 --> 00:18:44,520 Speaker 1: what happened and what it tells you about Tim Walls. 372 00:18:44,800 --> 00:18:46,760 Speaker 10: Yeah, thank you so much, gentlemen for having me on. 373 00:18:46,840 --> 00:18:49,639 Speaker 10: I appreciate it. My story needs to be shared with 374 00:18:49,720 --> 00:18:53,040 Speaker 10: America so we know who this man running for VP 375 00:18:53,240 --> 00:18:58,040 Speaker 10: really is. When the shutdowns came, the lockdowns came in March, 376 00:18:58,560 --> 00:19:01,000 Speaker 10: we were promised two weeks. Let's just shut down for 377 00:19:01,040 --> 00:19:03,360 Speaker 10: two weeks. See what this is. We did not know 378 00:19:03,400 --> 00:19:06,440 Speaker 10: what was going on. We can sent it, although we 379 00:19:06,560 --> 00:19:12,000 Speaker 10: knew that the governor didn't have a right to shut 380 00:19:12,080 --> 00:19:16,320 Speaker 10: us down constitutionally and otherwise. Well, the two weeks turned 381 00:19:16,320 --> 00:19:18,920 Speaker 10: into two and a half months. Two and a half 382 00:19:18,960 --> 00:19:23,440 Speaker 10: months went on for not complete lockdown, but still at 383 00:19:23,560 --> 00:19:26,800 Speaker 10: a percentage of lockdown with all kinds of rules applied. 384 00:19:26,840 --> 00:19:30,879 Speaker 10: As you guys know, come November, when the rest of 385 00:19:30,880 --> 00:19:35,120 Speaker 10: the country was essentially opened up or opening back up fully, 386 00:19:35,600 --> 00:19:40,440 Speaker 10: our governor, Governor Tim Walls shut us down again in November, 387 00:19:41,359 --> 00:19:44,080 Speaker 10: and if you remember, you already mentioned with the restaurants, 388 00:19:44,119 --> 00:19:46,920 Speaker 10: the bars, the nail hair salons, those are the plays, 389 00:19:46,960 --> 00:19:49,240 Speaker 10: the dance studios, those are the places that were shut down, 390 00:19:49,800 --> 00:19:54,239 Speaker 10: while the other the big box stores, the home depots, walmarts, 391 00:19:54,280 --> 00:19:59,000 Speaker 10: the strip clubs, liquor stores, and even one the largest 392 00:19:59,000 --> 00:20:02,959 Speaker 10: candy store in the state of Minnesota up near around 393 00:20:03,000 --> 00:20:08,439 Speaker 10: the Twin Cities area. They actually got a special allowance 394 00:20:08,480 --> 00:20:11,919 Speaker 10: to stay open during the time that the rest of 395 00:20:12,000 --> 00:20:15,000 Speaker 10: us had to be closed down. So that didn't make 396 00:20:15,040 --> 00:20:16,640 Speaker 10: any sense, and a lot of us were not real 397 00:20:16,680 --> 00:20:18,399 Speaker 10: happy about well, actually any of it. 398 00:20:19,359 --> 00:20:19,560 Speaker 9: You know. 399 00:20:19,600 --> 00:20:22,600 Speaker 2: I think it is important because one thing Kamala Harris 400 00:20:22,600 --> 00:20:25,840 Speaker 2: and Tim Walts have in common. California Minnesota, the states 401 00:20:25,840 --> 00:20:29,640 Speaker 2: that they came from, both were among the most restrictive 402 00:20:29,720 --> 00:20:33,000 Speaker 2: states during COVID, And I know we're four years past that, 403 00:20:33,080 --> 00:20:35,919 Speaker 2: but it's still a lesson in what happens when you 404 00:20:36,000 --> 00:20:39,520 Speaker 2: give government the tools to do whatever they want. What 405 00:20:39,560 --> 00:20:41,600 Speaker 2: was that like for you? And then how did them 406 00:20:42,119 --> 00:20:45,320 Speaker 2: and their policies end up with you being actually jailed? 407 00:20:46,160 --> 00:20:46,520 Speaker 9: Yeah? 408 00:20:46,640 --> 00:20:51,280 Speaker 10: Yeah, I mean it was tough on all of us really, Obviously, 409 00:20:51,320 --> 00:20:54,280 Speaker 10: It's not just my story. There were so many people 410 00:20:54,400 --> 00:21:00,480 Speaker 10: affected so detrimentally by these draconian as you already stated 411 00:21:00,560 --> 00:21:04,159 Speaker 10: DRACONI in lockdowns. Well I had. I believe it was 412 00:21:04,600 --> 00:21:08,399 Speaker 10: five civil cases against me, because I eventually did open 413 00:21:08,480 --> 00:21:13,879 Speaker 10: up in December of twenty twenty. I did open my 414 00:21:13,960 --> 00:21:17,240 Speaker 10: business because I realized, Okay, we can't continue to live 415 00:21:17,280 --> 00:21:19,399 Speaker 10: this way, we can't operate business this way. We're out 416 00:21:19,440 --> 00:21:22,560 Speaker 10: of money. We've been out of money. And so we 417 00:21:22,640 --> 00:21:25,800 Speaker 10: had two choices. Either closed my doors permanently forever, or 418 00:21:25,840 --> 00:21:29,879 Speaker 10: I opened up under my constitutionally or my god given 419 00:21:29,880 --> 00:21:33,679 Speaker 10: constitutionally protected rights. Correct, And so I opened up. The 420 00:21:33,720 --> 00:21:36,240 Speaker 10: state came after me with every resource that they had 421 00:21:36,600 --> 00:21:40,919 Speaker 10: five civil cases, two criminal cases against because I was 422 00:21:40,960 --> 00:21:41,600 Speaker 10: considered so. 423 00:21:41,640 --> 00:21:46,119 Speaker 1: Dangerous and Lisa, you obviously have a long criminal record 424 00:21:46,200 --> 00:21:50,879 Speaker 1: before this, right. 425 00:21:49,920 --> 00:21:53,960 Speaker 10: Oh my, I've never been to court, never been to jail. 426 00:21:54,840 --> 00:21:56,720 Speaker 10: I think I had a speeding ticket when I was 427 00:21:56,760 --> 00:21:57,440 Speaker 10: a teenager. 428 00:21:59,480 --> 00:22:04,840 Speaker 1: Here's the the part that really enrages me is, you know, 429 00:22:05,000 --> 00:22:08,560 Speaker 1: Tim Walls wielded power and he said, trust the science, 430 00:22:08,640 --> 00:22:11,280 Speaker 1: trust the research. I know what I'm doing. He clearly 431 00:22:11,400 --> 00:22:13,560 Speaker 1: didn't know what he was doing, and yet he was 432 00:22:13,600 --> 00:22:16,640 Speaker 1: also saying, you know what, you can't go and get 433 00:22:16,680 --> 00:22:19,960 Speaker 1: coffee at least's coffee shop. But you can go to 434 00:22:20,040 --> 00:22:22,120 Speaker 1: this candy store. It'd be interesting to know if they're 435 00:22:22,119 --> 00:22:25,119 Speaker 1: politically connected, by the way, And you can go to 436 00:22:25,320 --> 00:22:29,040 Speaker 1: this strip club because of course there's no personal contact 437 00:22:29,119 --> 00:22:31,800 Speaker 1: at a strip club, right, But you can't go to 438 00:22:31,880 --> 00:22:35,520 Speaker 1: this coffee shop. I mean, it's patently absurd. And this 439 00:22:35,640 --> 00:22:37,800 Speaker 1: is the problem when they say trust us when we 440 00:22:37,880 --> 00:22:40,800 Speaker 1: wield power, because we know what we're doing. So did 441 00:22:40,840 --> 00:22:43,720 Speaker 1: you actually go to jail and how long were you there? 442 00:22:44,760 --> 00:22:45,120 Speaker 3: I did. 443 00:22:45,240 --> 00:22:47,560 Speaker 10: I was sentenced to ninety days. 444 00:22:47,680 --> 00:22:48,200 Speaker 6: I served. 445 00:22:48,640 --> 00:22:51,280 Speaker 10: He got out on good behavior, so I was sentenced 446 00:22:51,320 --> 00:22:55,840 Speaker 10: to the maximum penalty and was there for sixty days. 447 00:22:55,880 --> 00:22:58,159 Speaker 10: So yes, I actually did serve time in jail. I 448 00:22:58,200 --> 00:23:01,600 Speaker 10: missed Christmas with my family, and of my anniversary. I 449 00:23:01,640 --> 00:23:03,720 Speaker 10: missed the birth of one of our granddaughters where I 450 00:23:03,760 --> 00:23:07,480 Speaker 10: was supposed to be a sister present, as well as 451 00:23:07,480 --> 00:23:11,480 Speaker 10: a host of other really important family functions. So I yeah, 452 00:23:11,560 --> 00:23:13,679 Speaker 10: I actually spent time in jail, believe it or not, 453 00:23:14,080 --> 00:23:16,120 Speaker 10: really for serving a cup of coffee that I had 454 00:23:16,119 --> 00:23:18,760 Speaker 10: every right to do to a willing customer that had 455 00:23:18,800 --> 00:23:21,200 Speaker 10: every right to come in and purchase that cup of. 456 00:23:21,160 --> 00:23:25,480 Speaker 1: Coffee that was there voluntarily, and by the way, you 457 00:23:25,640 --> 00:23:29,159 Speaker 1: served more jail time, I would dare say than most 458 00:23:29,160 --> 00:23:32,360 Speaker 1: of the people that were burning down Minneapolis earlier that year. 459 00:23:33,200 --> 00:23:35,879 Speaker 10: Yeah, yeah, I think you're correct on that. You know, 460 00:23:35,960 --> 00:23:38,399 Speaker 10: a lot of those people basically got a slap on 461 00:23:38,440 --> 00:23:40,240 Speaker 10: the hand and they were released back out onto the 462 00:23:40,280 --> 00:23:45,280 Speaker 10: streets real criminals, while I was I was kept in jail. 463 00:23:45,480 --> 00:23:45,720 Speaker 5: Yep. 464 00:23:46,240 --> 00:23:51,520 Speaker 10: It's such a stark contrast in everything that's right and 465 00:23:51,560 --> 00:23:55,040 Speaker 10: good and lawful and rule of law. It's really been 466 00:23:55,040 --> 00:23:58,840 Speaker 10: turned upside down by Tim Walls and Attorney General Keith Ellison. 467 00:23:59,080 --> 00:24:02,520 Speaker 10: He gets to take some of the credit for disparaging 468 00:24:02,560 --> 00:24:05,840 Speaker 10: and really wrecking our state. I know it was four 469 00:24:05,920 --> 00:24:09,240 Speaker 10: years ago, but we're still feeling the effects of that, 470 00:24:09,320 --> 00:24:11,320 Speaker 10: and so many other business owners that I talked to 471 00:24:11,400 --> 00:24:16,720 Speaker 10: personally that went through persecution and prosecution as well, they're 472 00:24:16,840 --> 00:24:20,320 Speaker 10: still feeling the effects from what from what Tim Walls 473 00:24:20,320 --> 00:24:22,720 Speaker 10: did to us and to our businesses, not to mention 474 00:24:22,880 --> 00:24:25,800 Speaker 10: all the others, all the other lockdowns that he did. Churches, 475 00:24:26,200 --> 00:24:31,640 Speaker 10: he closed churches, he he sent sick people to nursing homes. Well, 476 00:24:31,760 --> 00:24:33,720 Speaker 10: we all know how that goes for the elderly and 477 00:24:33,760 --> 00:24:38,880 Speaker 10: the nursing home. He just he rampaged our state and 478 00:24:38,960 --> 00:24:40,399 Speaker 10: really continues to do so. 479 00:24:41,480 --> 00:24:43,679 Speaker 2: Yeah, we've seen the video and we talked about this 480 00:24:43,760 --> 00:24:46,080 Speaker 2: on one of our podcasts that there's a video that 481 00:24:46,119 --> 00:24:48,960 Speaker 2: shows after I think is in the wake of the 482 00:24:49,040 --> 00:24:52,119 Speaker 2: George Floyd riots and protests, when they finally enforced the 483 00:24:52,240 --> 00:24:55,320 Speaker 2: curfew and you see people sitting on their porch and 484 00:24:55,359 --> 00:24:57,760 Speaker 2: then you see here comes I think Minnesota State police 485 00:24:58,200 --> 00:25:03,280 Speaker 2: come down and actually paintballs at citizens for not being indoors. 486 00:25:03,760 --> 00:25:06,920 Speaker 2: And it honestly reminds us, especially as we've documented Tim 487 00:25:06,920 --> 00:25:10,040 Speaker 2: Waltz's ties to China, it reminds us very much of 488 00:25:10,080 --> 00:25:13,359 Speaker 2: like the Chinese dog that would go through the streets 489 00:25:13,359 --> 00:25:16,359 Speaker 2: and bark at citizens to get back inside. Do you 490 00:25:16,560 --> 00:25:18,879 Speaker 2: get a sense that this is, I mean, that's not 491 00:25:18,960 --> 00:25:21,320 Speaker 2: the Tim Waltz that I would imagine Minnesotan's voted for. 492 00:25:21,359 --> 00:25:24,040 Speaker 2: They didn't see this as a totalitarian guy. That saw 493 00:25:24,080 --> 00:25:29,320 Speaker 2: him as a rural, gun toting military veteran who would 494 00:25:29,359 --> 00:25:31,840 Speaker 2: be more of a centrist. But it sounds like you've 495 00:25:31,880 --> 00:25:33,240 Speaker 2: been shocked by the way he's governed. 496 00:25:34,240 --> 00:25:38,560 Speaker 10: Oh. Absolutely, And what Minnesota Minnesotan has not been We 497 00:25:38,640 --> 00:25:40,760 Speaker 10: thought he was more of a centrist. I personally did 498 00:25:40,840 --> 00:25:43,520 Speaker 10: not vote for him, but when he did get into office, 499 00:25:43,520 --> 00:25:45,960 Speaker 10: we thought, you know, he's kind of kind of middle 500 00:25:46,000 --> 00:25:52,200 Speaker 10: of the ground. This shouldn't be so bad you were running. Yeah, 501 00:25:52,240 --> 00:25:55,920 Speaker 10: he's anything but a centrist. The man has, in my opinion, 502 00:25:55,960 --> 00:25:58,879 Speaker 10: has an infatuation with China, and I think that's what 503 00:25:58,960 --> 00:26:02,439 Speaker 10: he wants to make Minnesota his own little China. It's 504 00:26:02,480 --> 00:26:05,600 Speaker 10: incredible the things that he has done. He is no, 505 00:26:06,200 --> 00:26:08,399 Speaker 10: what are they calling him on some of the media. 506 00:26:08,480 --> 00:26:13,880 Speaker 10: They say that he's cuddly, coach, like dad, like Joyce. No, 507 00:26:14,119 --> 00:26:16,680 Speaker 10: that is not the Tim Walls that Minnesota knows. 508 00:26:17,119 --> 00:26:19,480 Speaker 1: Yeah, and the Tim Walls of Minnesota knows. By the way, 509 00:26:19,520 --> 00:26:23,160 Speaker 1: Minnesota is one of those states that is having an exodus. 510 00:26:23,200 --> 00:26:25,200 Speaker 1: Since he has been governor the last couple of years, 511 00:26:25,240 --> 00:26:29,680 Speaker 1: fifty thousand net fifty thousand people have left the state 512 00:26:29,760 --> 00:26:32,399 Speaker 1: of Minnesota as opposed to those who have actually moved in. 513 00:26:32,440 --> 00:26:35,359 Speaker 1: The thing we hear about California a lot in New York, 514 00:26:35,680 --> 00:26:38,280 Speaker 1: same thing is happening in the wonderful state of Minnesota. 515 00:26:38,320 --> 00:26:40,760 Speaker 1: I've spent a lot of time. There's beautiful, lots of lakes, 516 00:26:40,800 --> 00:26:44,719 Speaker 1: friendly people, but Tim Waltz's tax policies and the draconian 517 00:26:44,760 --> 00:26:47,160 Speaker 1: policies that he put Lae and the others through are 518 00:26:47,200 --> 00:26:48,880 Speaker 1: starting to wear on the people of that state. 519 00:26:48,960 --> 00:26:51,480 Speaker 2: Actually went to Minnesota in November of twenty twenty, right 520 00:26:51,520 --> 00:26:54,000 Speaker 2: before the election, for a form on election integrity, and no, 521 00:26:54,119 --> 00:26:56,959 Speaker 2: Minnesota has a lot of questions about their election integrity. 522 00:26:56,960 --> 00:26:58,639 Speaker 2: A lot of people were shocked after the way that 523 00:26:58,680 --> 00:27:01,800 Speaker 2: Minnesota was looted in, burned in the summer, and then 524 00:27:01,960 --> 00:27:04,560 Speaker 2: locked down because of Tim Walls, that it voted the 525 00:27:04,560 --> 00:27:08,680 Speaker 2: way it did. What do you think you Minnesota will 526 00:27:08,720 --> 00:27:10,840 Speaker 2: do this time? Does Tim Waalts's presence on the ticket 527 00:27:11,119 --> 00:27:13,880 Speaker 2: make it more likely to be another Biden Waaltz win. 528 00:27:18,119 --> 00:27:21,800 Speaker 10: Let's hope not. You know, here's what I have to say. 529 00:27:22,000 --> 00:27:24,280 Speaker 10: Tim Walls is dangerous to the people of Minnesota, so 530 00:27:24,280 --> 00:27:27,080 Speaker 10: therefore he would be dangerous to the people of the 531 00:27:27,160 --> 00:27:28,280 Speaker 10: United States of America. 532 00:27:28,400 --> 00:27:28,560 Speaker 6: US. 533 00:27:28,560 --> 00:27:33,879 Speaker 10: Minnesota's have experienced his orchestrated evil. I have firsthand. You 534 00:27:33,960 --> 00:27:37,920 Speaker 10: put that evil together with the evil Kamala Harris and 535 00:27:38,000 --> 00:27:41,040 Speaker 10: what do you get? You get evil on steroids. 536 00:27:41,560 --> 00:27:42,520 Speaker 3: And I have a. 537 00:27:42,480 --> 00:27:46,040 Speaker 10: Personal message for Tim Walls. Tim, if that's what you 538 00:27:46,160 --> 00:27:51,159 Speaker 10: want move to China, leave our republic alone. The people 539 00:27:51,160 --> 00:27:55,240 Speaker 10: of Minnesota, the vast majority, I would say, really would 540 00:27:55,280 --> 00:27:59,399 Speaker 10: like to see Tim Walls impeached. At the very least, 541 00:28:00,400 --> 00:28:04,640 Speaker 10: we do not want that team, the Walls and Harris 542 00:28:04,640 --> 00:28:08,359 Speaker 10: team for America. America does not want that. If we 543 00:28:08,400 --> 00:28:12,919 Speaker 10: want to maintain our republic, we won't do it with 544 00:28:13,080 --> 00:28:14,679 Speaker 10: Walls and Harris. 545 00:28:15,040 --> 00:28:17,439 Speaker 1: Well, we've been talking with Lisa Hansen. She's from the 546 00:28:17,440 --> 00:28:21,320 Speaker 1: great city of Albert Lee, Minnesota that I've been to. 547 00:28:21,920 --> 00:28:25,000 Speaker 1: She's got eight children, eighteen grandchildren. She was the owner 548 00:28:25,040 --> 00:28:28,720 Speaker 1: of the Interchange Wine and Coffee Bistro. She was thrown 549 00:28:28,800 --> 00:28:33,680 Speaker 1: in jail sixty days sixty days because Tim Walls would 550 00:28:33,720 --> 00:28:36,040 Speaker 1: not get rid of This is not two weeks after 551 00:28:36,080 --> 00:28:39,560 Speaker 1: COVID happened. This was six eight months after COVID had happened. 552 00:28:39,760 --> 00:28:43,160 Speaker 1: She defied the lockdown. God bless you, Lisa. We appreciate 553 00:28:43,160 --> 00:28:46,000 Speaker 1: your courage and your outspokenness, and we hope to hear 554 00:28:46,080 --> 00:28:48,840 Speaker 1: about a new business venture that you're involved in and 555 00:28:48,880 --> 00:28:51,000 Speaker 1: hopefully Tim Wallas won't shut that one down. 556 00:28:51,040 --> 00:28:54,520 Speaker 10: To thank you so much, Jimmen, I very much appreciate 557 00:28:54,520 --> 00:28:56,200 Speaker 10: being on I'm not. 558 00:28:56,120 --> 00:28:57,440 Speaker 2: Trying to tell her what kind of business you should 559 00:28:57,440 --> 00:28:59,680 Speaker 2: be made, like a prison pie or like, you know, 560 00:28:59,760 --> 00:29:03,320 Speaker 2: lock down latte something. I think let's like lean into 561 00:29:03,320 --> 00:29:05,760 Speaker 2: the theme, but just consider what you just said. You know, 562 00:29:06,040 --> 00:29:07,680 Speaker 2: at the beginning of the last night, we talked about 563 00:29:07,760 --> 00:29:12,440 Speaker 2: Kamala Harris refusing to prosecute so those Catholic church priests 564 00:29:12,480 --> 00:29:17,120 Speaker 2: who had abused children, they got off, she went to jail. Yeah, 565 00:29:17,160 --> 00:29:18,800 Speaker 2: that's justice under this ticket. 566 00:29:18,880 --> 00:29:23,400 Speaker 1: And the Minneapolis violent protesters unbelievable, unbelievable. Wi'll be back 567 00:29:23,440 --> 00:29:27,080 Speaker 1: after this break. Call us please, we'd love to hear 568 00:29:27,160 --> 00:29:31,160 Speaker 1: your thoughts on what's coming next. Hi, it's Peter Schweizer. 569 00:29:31,200 --> 00:29:33,320 Speaker 1: I'm sitting here with Eric Eggers. We're filling in for 570 00:29:33,360 --> 00:29:36,040 Speaker 1: Sean Hannity. Let's take a call. Let's go to Karen 571 00:29:36,160 --> 00:29:38,000 Speaker 1: in Florida. Karen, Hey, how are you. 572 00:29:38,880 --> 00:29:41,479 Speaker 3: I'm great, Thanks for taking my call. And I just 573 00:29:41,520 --> 00:29:44,240 Speaker 3: had a statement. I'm hearing all this back and forth 574 00:29:44,280 --> 00:29:47,800 Speaker 3: about how Donald Trump should handle Kamala at the debate 575 00:29:47,920 --> 00:29:50,640 Speaker 3: because she's a woman and everything, and I'm thinking to myself, 576 00:29:51,240 --> 00:29:54,160 Speaker 3: third world leaders aren't going to care if she's a 577 00:29:54,200 --> 00:29:57,440 Speaker 3: woman or not. I mean, leaders should be evaluated based 578 00:29:57,440 --> 00:29:58,960 Speaker 3: on their confidence. 579 00:29:58,480 --> 00:30:00,560 Speaker 6: Their policy positions, and a effect this. 580 00:30:00,640 --> 00:30:02,520 Speaker 3: So I just don't get the whole back and. 581 00:30:02,480 --> 00:30:05,560 Speaker 1: Forth over there. Now, Karen, I think you may make 582 00:30:05,640 --> 00:30:08,520 Speaker 1: a really, really, really important point, and that is, if 583 00:30:08,600 --> 00:30:10,880 Speaker 1: you give her kick gloves and it's all soft and 584 00:30:11,000 --> 00:30:13,560 Speaker 1: it's all protect her, put her out in the real 585 00:30:13,640 --> 00:30:17,320 Speaker 1: world when she's dealing with very very difficult, nasty leaders, 586 00:30:17,680 --> 00:30:18,800 Speaker 1: She's not going to measure up. 587 00:30:18,880 --> 00:30:21,440 Speaker 2: She's not going to measure up. She's not measured up 588 00:30:21,640 --> 00:30:24,720 Speaker 2: in the last competitive political environment she was in when 589 00:30:24,800 --> 00:30:27,160 Speaker 2: which she got so little support she dropped out before 590 00:30:27,200 --> 00:30:30,120 Speaker 2: the first primary was even cast. In twenty twenty, she 591 00:30:30,320 --> 00:30:33,840 Speaker 2: was widely considered before Joe Biden was forcibly removed from office, 592 00:30:34,000 --> 00:30:36,040 Speaker 2: to be not ready for prime time. There's a book 593 00:30:36,080 --> 00:30:37,960 Speaker 2: that you referenced earlier that came out earli this year. 594 00:30:38,080 --> 00:30:40,320 Speaker 2: They Atlantic did a long profile and said this top 595 00:30:40,360 --> 00:30:43,760 Speaker 2: to bottom dysfunction. She was not ready, and yet because 596 00:30:43,840 --> 00:30:47,240 Speaker 2: Joe Biden was losing and she's an African American female, 597 00:30:47,240 --> 00:30:49,320 Speaker 2: they weren't willing to go past her. So she is 598 00:30:49,360 --> 00:30:51,880 Speaker 2: now the defactor nominee. We're now being sold and told 599 00:30:51,920 --> 00:30:54,680 Speaker 2: that that's who the best option is. Dana Bash Tim 600 00:30:54,680 --> 00:30:57,880 Speaker 2: wols are holding her hand on CNN tonight, But that doesn't, 601 00:30:58,000 --> 00:30:59,920 Speaker 2: to your point, change what it will be like. Would 602 00:30:59,920 --> 00:31:00,959 Speaker 2: you he's in the real world now. 603 00:31:01,040 --> 00:31:02,880 Speaker 1: I think that's right. Karen makes a great point. And 604 00:31:02,920 --> 00:31:04,920 Speaker 1: the question is are the American people going to see that. 605 00:31:05,360 --> 00:31:08,720 Speaker 1: Are the American people going to be too distracted from 606 00:31:08,800 --> 00:31:11,280 Speaker 1: all the atmospherics, or are they can actually pay attention 607 00:31:11,360 --> 00:31:13,240 Speaker 1: and say this person is actually going to have to 608 00:31:13,520 --> 00:31:15,160 Speaker 1: lead our country. I think one of the things that 609 00:31:15,240 --> 00:31:19,640 Speaker 1: scared people about Joe Biden's age was not just his age, 610 00:31:19,720 --> 00:31:21,760 Speaker 1: it was a fact that they said, this guy doesn't 611 00:31:21,800 --> 00:31:25,600 Speaker 1: necessarily have the strength to stand up for us, and 612 00:31:25,640 --> 00:31:27,800 Speaker 1: that's why we are not going to support him. The 613 00:31:27,840 --> 00:31:30,080 Speaker 1: question is, is Kamala Harris She's got her full health, 614 00:31:30,080 --> 00:31:33,680 Speaker 1: her full capabilities, but she lacks that strength as well. 615 00:31:33,720 --> 00:31:35,760 Speaker 2: It seems well, she's going to hold herself accountable to 616 00:31:35,800 --> 00:31:38,560 Speaker 2: deadlines around time. We know that and that seeing n 617 00:31:38,600 --> 00:31:40,480 Speaker 2: clip that came out earlier today, and we know that 618 00:31:40,560 --> 00:31:42,520 Speaker 2: because you did not fall out of a coconut. True, 619 00:31:42,520 --> 00:31:44,600 Speaker 2: I did not. It's all about the context. We'll see 620 00:31:44,600 --> 00:31:47,760 Speaker 2: how many other softballs and soft served questions. Dana bash 621 00:31:47,840 --> 00:31:50,560 Speaker 2: Spoon feeds her and Tim Wallas. That was really quite 622 00:31:50,560 --> 00:31:53,120 Speaker 2: embarrassing the fact that they asked their question they suggested 623 00:31:53,280 --> 00:31:56,160 Speaker 2: two possible answers. But at least maybe it's an interview 624 00:31:56,240 --> 00:32:00,400 Speaker 2: and it's the beginning of hopefully more coverage, more qui questions. 625 00:32:00,400 --> 00:32:02,000 Speaker 2: We'll see what happens. There will be a debates, and 626 00:32:02,040 --> 00:32:04,280 Speaker 2: we know there will be at least some accountability there. Hey, 627 00:32:04,320 --> 00:32:06,400 Speaker 2: speaking of accountability, Peter Sweitzer, you're the president of the 628 00:32:06,400 --> 00:32:08,080 Speaker 2: government accountability. It's do good job today. 629 00:32:08,200 --> 00:32:10,000 Speaker 1: Yeah, great job to you, Eric as well, and thank 630 00:32:10,040 --> 00:32:13,080 Speaker 1: you to Sean for giving us this microphone, trusting us 631 00:32:13,080 --> 00:32:15,480 Speaker 1: for three hours. You can find out about our podcast 632 00:32:15,520 --> 00:32:18,840 Speaker 1: on the drilldown dot com and we will keep investigating. 633 00:32:18,880 --> 00:32:20,000 Speaker 1: Thanks so much for joining us. 634 00:32:20,040 --> 00:32:20,840 Speaker 2: Thanks a lot of America.