1 00:00:01,200 --> 00:00:01,560 Speaker 1: Welcome. 2 00:00:01,600 --> 00:00:03,800 Speaker 2: It is a verdict with Ted Cruz and it's the 3 00:00:03,920 --> 00:00:06,720 Speaker 2: week in Review. Ben Ferguson with you, and we had 4 00:00:06,760 --> 00:00:09,399 Speaker 2: some major stories this week that you may have missed. 5 00:00:09,600 --> 00:00:12,960 Speaker 2: First up, voters, you've heard it before about the idea 6 00:00:12,960 --> 00:00:15,560 Speaker 2: of draining the swamp. What does it actually look like 7 00:00:15,800 --> 00:00:18,319 Speaker 2: this time with a Trump presidency and will it be 8 00:00:18,400 --> 00:00:22,320 Speaker 2: different than twenty sixteen. The answer is yes, and we'll 9 00:00:22,360 --> 00:00:25,800 Speaker 2: explain just how big of a difference it could be. Also, 10 00:00:26,000 --> 00:00:29,280 Speaker 2: Kamala Harris was cornered about lying to the American people 11 00:00:29,480 --> 00:00:32,800 Speaker 2: on the cognitive decline of Joe Biden. She now has 12 00:00:32,840 --> 00:00:35,440 Speaker 2: a new date when she says she noticed a difference 13 00:00:35,520 --> 00:00:38,280 Speaker 2: but also defended him as being a brilliant man. It 14 00:00:38,320 --> 00:00:40,519 Speaker 2: didn't go well in an NBC interview, and we're going 15 00:00:40,600 --> 00:00:43,760 Speaker 2: to play that for you. And finally, Kamala Harris, just 16 00:00:43,880 --> 00:00:47,800 Speaker 2: days away from election day, is in Texas. Why well, 17 00:00:47,920 --> 00:00:49,839 Speaker 2: she wants to tell you Texas is evil and that 18 00:00:49,880 --> 00:00:51,800 Speaker 2: you should be able to kill your babies whenever you 19 00:00:51,840 --> 00:00:54,560 Speaker 2: want to on demand with abortion. Is that going to 20 00:00:54,600 --> 00:00:57,880 Speaker 2: play with voters across the country. It's the Weekend Review 21 00:00:58,040 --> 00:01:01,560 Speaker 2: and it starts right now, yet not at all and 22 00:01:01,800 --> 00:01:03,880 Speaker 2: This goes back to the cover up. I don't think 23 00:01:03,960 --> 00:01:07,080 Speaker 2: this was an accident. This was deliberate by them because 24 00:01:07,080 --> 00:01:09,480 Speaker 2: they knew they needed this to be a campaign issue 25 00:01:09,480 --> 00:01:13,280 Speaker 2: that hey, things aren't that bad, right, Inflation's actually not 26 00:01:13,440 --> 00:01:14,000 Speaker 2: that bad. 27 00:01:14,440 --> 00:01:15,000 Speaker 1: Immigration. 28 00:01:15,120 --> 00:01:18,560 Speaker 2: We saw them do this deal with Mexico to make 29 00:01:18,600 --> 00:01:23,520 Speaker 2: the numbers artificially go down in August, in September, going 30 00:01:23,560 --> 00:01:26,840 Speaker 2: into the election, going see, we're securing the border. It's 31 00:01:26,920 --> 00:01:29,920 Speaker 2: no different with the violent crime status here. This is 32 00:01:29,959 --> 00:01:34,959 Speaker 2: why so many Americans now don't trust the government, certainly 33 00:01:34,959 --> 00:01:39,600 Speaker 2: the deep state, certainly unfortunately the FBI. And yet no 34 00:01:39,640 --> 00:01:42,160 Speaker 2: one's going to get fired for screwing up their job 35 00:01:42,200 --> 00:01:43,920 Speaker 2: this bad because it wasn't a screw up, it was 36 00:01:43,959 --> 00:01:44,760 Speaker 2: done deliberately. 37 00:01:45,400 --> 00:01:47,520 Speaker 3: Well, you may be wrong that no one's going to 38 00:01:47,560 --> 00:01:49,000 Speaker 3: get fired, because. 39 00:01:48,640 --> 00:01:51,320 Speaker 2: Well that would be amazing in a first in my lifetime. 40 00:01:51,640 --> 00:01:54,800 Speaker 3: Well, I mean, if we have a good election. I 41 00:01:54,800 --> 00:01:57,440 Speaker 3: think if Donald Trump gets elected, we will see a 42 00:01:57,440 --> 00:01:59,360 Speaker 3: new attorney general. I think we will see a new 43 00:01:59,400 --> 00:02:02,680 Speaker 3: head of the FA oh for sure. And I am 44 00:02:02,760 --> 00:02:05,800 Speaker 3: praying the people involved in this will be fired. If 45 00:02:05,840 --> 00:02:08,000 Speaker 3: we win a majority in the Senate. I think we're 46 00:02:08,080 --> 00:02:10,000 Speaker 3: likely to win and the Republicans are likely to win 47 00:02:10,000 --> 00:02:12,560 Speaker 3: a majority in the Senate. As you know, I'm on 48 00:02:12,600 --> 00:02:15,760 Speaker 3: the Senate Judiciary Committee. I'm going to press the Judiciary 49 00:02:15,760 --> 00:02:20,640 Speaker 3: Committee to launch an investigation into the FBI as to 50 00:02:20,720 --> 00:02:25,600 Speaker 3: who specifically put out the false data. And I think 51 00:02:25,639 --> 00:02:30,359 Speaker 3: we should push to get every email, exchange, every conversation. 52 00:02:31,120 --> 00:02:34,680 Speaker 3: I think it is likely that this was partisan, but 53 00:02:34,720 --> 00:02:36,079 Speaker 3: we need to get to the bottom of it. And 54 00:02:36,800 --> 00:02:39,200 Speaker 3: the fact that the FBI is not even providing any 55 00:02:39,240 --> 00:02:42,880 Speaker 3: explanation when they're caught red handed really does damage. And 56 00:02:43,120 --> 00:02:45,640 Speaker 3: by the way, look I'll tell you something again. As 57 00:02:45,680 --> 00:02:51,080 Speaker 3: I travel around campaigning regularly, people ask me should we 58 00:02:51,120 --> 00:02:53,840 Speaker 3: abolish the FBI? And I got to tell you that, 59 00:02:53,880 --> 00:02:57,920 Speaker 3: actually that question concerns me because the FBI does a 60 00:02:58,000 --> 00:03:01,560 Speaker 3: lot of things that are incredibly important. The FBI is 61 00:03:01,680 --> 00:03:05,320 Speaker 3: designed to battle terrorism, to catch terrorists before they commit 62 00:03:05,360 --> 00:03:10,280 Speaker 3: another nine to eleven that the FBI catches serial killers, 63 00:03:10,280 --> 00:03:15,320 Speaker 3: the FBI catches child predators, the FBI helps with kidnap children. 64 00:03:15,360 --> 00:03:18,040 Speaker 3: I mean, there is a very very important law enforcement 65 00:03:18,080 --> 00:03:21,520 Speaker 3: mission of the FBI. And I'll tell you with first 66 00:03:21,600 --> 00:03:24,680 Speaker 3: James Kate Comy and now Chris Ray running the FBI, 67 00:03:25,280 --> 00:03:28,520 Speaker 3: I think the integrity and the reputation of the FBI 68 00:03:28,600 --> 00:03:32,760 Speaker 3: has been so profoundly tarnished that half the country wants 69 00:03:32,760 --> 00:03:35,320 Speaker 3: to get rid of the damn thing altogether. That is 70 00:03:35,440 --> 00:03:39,200 Speaker 3: really bad from a law enforcement perspective, from a perspective 71 00:03:39,200 --> 00:03:42,400 Speaker 3: and stopping terrorists and stopping criminals. And I'll tell you 72 00:03:42,520 --> 00:03:46,040 Speaker 3: I have chewed out Chris Ray that when he circles 73 00:03:46,080 --> 00:03:50,920 Speaker 3: the wagons and defends the hardcore partisans who have politicized 74 00:03:50,960 --> 00:03:56,840 Speaker 3: the FBI, he is lighting on fire the FBI's credibility 75 00:03:57,120 --> 00:04:00,440 Speaker 3: and its reputation. And I think if Trump wins, there 76 00:04:00,480 --> 00:04:04,200 Speaker 3: needs to be a wholesale cleaning house getting rid of 77 00:04:04,240 --> 00:04:09,640 Speaker 3: the wildly partisan, uh career bureaucrats who burrowed into senior 78 00:04:09,720 --> 00:04:11,240 Speaker 3: leadership positions at the FBI. 79 00:04:12,280 --> 00:04:14,320 Speaker 2: All right, let's let's dive into this even on a 80 00:04:14,440 --> 00:04:17,800 Speaker 2: on a more intense level, because this is one of 81 00:04:17,839 --> 00:04:21,080 Speaker 2: those moments where I think there's a lot of voters 82 00:04:21,160 --> 00:04:24,479 Speaker 2: that are listening right now. They're saying, Okay, my worry 83 00:04:24,640 --> 00:04:27,760 Speaker 2: is we've heard this before, that there's going to be 84 00:04:27,800 --> 00:04:33,120 Speaker 2: a real draining of the swamp. What how different do 85 00:04:33,160 --> 00:04:37,200 Speaker 2: you think a Trump administration will be this time? Compared 86 00:04:37,240 --> 00:04:40,400 Speaker 2: to twenty sixteen, when there was a lot of people 87 00:04:40,440 --> 00:04:44,000 Speaker 2: that were on a list. And you've done transitions. I've 88 00:04:44,040 --> 00:04:47,240 Speaker 2: done it before. When when people win, and what you 89 00:04:47,279 --> 00:04:49,040 Speaker 2: go through is you say, okay, well, there's a certain 90 00:04:49,080 --> 00:04:51,800 Speaker 2: group people over here. These are non political, we don't 91 00:04:51,800 --> 00:04:55,600 Speaker 2: mess with them, right, they stay throughout administrations, and then 92 00:04:55,640 --> 00:04:58,080 Speaker 2: here's your support, here's your political ones, and you can 93 00:04:58,120 --> 00:05:00,839 Speaker 2: deal with them how you want. But there's these certain 94 00:05:00,880 --> 00:05:03,599 Speaker 2: areas we don't touch it. I think Donald Trump learned 95 00:05:03,600 --> 00:05:07,839 Speaker 2: there's a lot of these quote non political positions that 96 00:05:07,920 --> 00:05:09,360 Speaker 2: have become highly political. 97 00:05:09,480 --> 00:05:12,720 Speaker 1: Yes, and this is a great example of that. 98 00:05:13,320 --> 00:05:16,240 Speaker 2: So do you believe that there is is the political 99 00:05:16,279 --> 00:05:19,479 Speaker 2: will to actually clean house the way that many voters 100 00:05:19,520 --> 00:05:21,640 Speaker 2: are expecting? And I'd say that I think there's a 101 00:05:21,680 --> 00:05:24,480 Speaker 2: lot of voters that are expecting it. They're like, Okay, 102 00:05:24,520 --> 00:05:27,960 Speaker 2: if we're going to put you back in there, Republicans 103 00:05:28,080 --> 00:05:30,400 Speaker 2: aka Trump, then you guys better do what you said 104 00:05:30,440 --> 00:05:32,200 Speaker 2: you're going to do this time in clean house, because 105 00:05:32,200 --> 00:05:33,240 Speaker 2: that's what we're voting for. 106 00:05:33,680 --> 00:05:36,320 Speaker 3: Well, as you know, this is the topic of the 107 00:05:36,360 --> 00:05:39,400 Speaker 3: third book that I wrote, which is called Justice Corrupted. 108 00:05:39,800 --> 00:05:42,200 Speaker 3: How the left has weaponized the legal system. And then 109 00:05:42,240 --> 00:05:46,760 Speaker 3: the book Justice Corrupted, I lay out how Barack Obama 110 00:05:46,920 --> 00:05:49,680 Speaker 3: weaponized the Department of Justice, of the FBI and the 111 00:05:49,720 --> 00:05:53,240 Speaker 3: IRS and the alphabet soup of federal agencies to target 112 00:05:53,279 --> 00:05:57,240 Speaker 3: and attack his political enemies. And then when Trump became president, 113 00:05:57,320 --> 00:06:00,680 Speaker 3: by that point, many of these hard parts since had 114 00:06:00,680 --> 00:06:04,440 Speaker 3: burrowed into senior career positions in the agency, and they 115 00:06:04,480 --> 00:06:07,640 Speaker 3: spent the four years of the Trump presidency waging war 116 00:06:08,000 --> 00:06:10,640 Speaker 3: on Donald Trump. They hated him, they tried to destroy 117 00:06:10,720 --> 00:06:14,760 Speaker 3: the president. They tried to frustrate and oppose every aspect 118 00:06:14,800 --> 00:06:17,760 Speaker 3: of his agenda. And now under Joe Biden and Kamala Harris, 119 00:06:17,760 --> 00:06:20,480 Speaker 3: they're brazen it out in the open. They are nakedly 120 00:06:20,560 --> 00:06:25,279 Speaker 3: politicized that they repeatedly are employed to target and persecute 121 00:06:25,680 --> 00:06:28,880 Speaker 3: the political opponents of the White House, and it is disastrous. 122 00:06:29,160 --> 00:06:31,159 Speaker 3: I think it is one of the most important things 123 00:06:31,200 --> 00:06:34,840 Speaker 3: in a Trump administration to depoliticize the Department of Justice 124 00:06:34,880 --> 00:06:36,960 Speaker 3: in the FBI. I've said a lot of times, I 125 00:06:36,960 --> 00:06:39,880 Speaker 3: don't want a Republican DJ, I don't want a Democrat DJ. 126 00:06:40,000 --> 00:06:42,320 Speaker 3: I want a DJ that follows the law and that 127 00:06:42,480 --> 00:06:45,480 Speaker 3: prosecutes people when they break the law, regardless of their party. 128 00:06:45,520 --> 00:06:49,480 Speaker 3: I want an FBI that does the same thing, and look, 129 00:06:49,839 --> 00:06:52,000 Speaker 3: will it be better the second time around? 130 00:06:52,120 --> 00:06:52,840 Speaker 1: Absolutely? 131 00:06:52,880 --> 00:06:56,320 Speaker 3: I don't think Trump, and I know his senior team 132 00:06:56,360 --> 00:06:59,680 Speaker 3: in the White House, they didn't realize what it is 133 00:06:59,680 --> 00:07:02,640 Speaker 3: they were fighting. They didn't realize how the swamp operated, 134 00:07:03,000 --> 00:07:06,360 Speaker 3: and they left in place a lot of people who 135 00:07:06,880 --> 00:07:10,320 Speaker 3: actively waged war against the Trump administration. Look, classic example 136 00:07:10,400 --> 00:07:14,080 Speaker 3: of that is James Comy. I believe that the Trump 137 00:07:14,080 --> 00:07:17,040 Speaker 3: White House should have fired James Comy on January twentieth, 138 00:07:17,040 --> 00:07:19,760 Speaker 3: twenty seventeen. No one would have blinked. First day Trump 139 00:07:19,840 --> 00:07:22,040 Speaker 3: comes in office, mister kmy, thank you for your services. 140 00:07:22,040 --> 00:07:24,440 Speaker 3: He was the old head of the FBI. You're gone. 141 00:07:25,360 --> 00:07:28,000 Speaker 3: They didn't. They thought, oh, we can co opt this 142 00:07:28,040 --> 00:07:30,120 Speaker 3: guy and get him to work with us. Well, it 143 00:07:30,200 --> 00:07:33,840 Speaker 3: was a disaster and the whole Russia Russia, Russia nonsense. 144 00:07:34,440 --> 00:07:37,640 Speaker 3: James Comy was behind a lot of that. And so 145 00:07:38,320 --> 00:07:41,240 Speaker 3: this time around, I think there certainly they realize the 146 00:07:41,320 --> 00:07:44,240 Speaker 3: threat now fighting it's not easy. I'm not going to, 147 00:07:44,400 --> 00:07:47,080 Speaker 3: you know, just blow smoke at you and say it's 148 00:07:47,080 --> 00:07:49,680 Speaker 3: all going to be rosy if Trump wins again. Fighting 149 00:07:49,720 --> 00:07:54,600 Speaker 3: the swamp and the career bureaucrats is incredibly difficult. But 150 00:07:54,680 --> 00:07:57,239 Speaker 3: I do think you will see a much much greater 151 00:07:57,360 --> 00:08:00,600 Speaker 3: seriousness of purpose from the Trump White House time around. 152 00:08:00,640 --> 00:08:03,360 Speaker 3: I think they realize much more the magnitude of the 153 00:08:03,360 --> 00:08:04,200 Speaker 3: threat they're dealing with. 154 00:08:04,360 --> 00:08:07,360 Speaker 2: Final question for you, sender, there's a story and we're 155 00:08:07,360 --> 00:08:09,440 Speaker 2: getting more details on it, but we're going to talk 156 00:08:09,480 --> 00:08:12,240 Speaker 2: about this one on Wednesday, I'm sure. But there is 157 00:08:12,280 --> 00:08:15,200 Speaker 2: a headline that just popped and it says big tech 158 00:08:15,360 --> 00:08:19,320 Speaker 2: censoring ahead of the elections. I was not surprised by this. 159 00:08:19,360 --> 00:08:22,640 Speaker 2: I think it's a no brainer. But we're seeing now 160 00:08:23,200 --> 00:08:25,880 Speaker 2: that this is a real problem yet again. 161 00:08:26,360 --> 00:08:27,920 Speaker 1: Weeks before election. 162 00:08:27,680 --> 00:08:33,000 Speaker 3: Day, Yeah, the Washington Post had an investigation that said 163 00:08:33,080 --> 00:08:37,840 Speaker 3: that Instagram, which is part of Meta, buries political posts 164 00:08:37,920 --> 00:08:42,040 Speaker 3: and it slashes the audience by sixty three percent when 165 00:08:42,080 --> 00:08:48,800 Speaker 3: the word vote is posted, and one influencer faced, as 166 00:08:48,800 --> 00:08:52,040 Speaker 3: I said, a sixty three percent drop. And this is 167 00:08:52,080 --> 00:08:56,720 Speaker 3: an investigation done by Washington Post tech columnist Jeffrey Fowler 168 00:08:57,440 --> 00:09:01,280 Speaker 3: that showed that Meta cross its platforms, including Instagram, Facebook 169 00:09:01,280 --> 00:09:06,000 Speaker 3: and Threads, actively suppressed content related to the upcoming twenty 170 00:09:06,040 --> 00:09:10,240 Speaker 3: twenty four election and it affects partisan political posts, but 171 00:09:10,320 --> 00:09:14,880 Speaker 3: it also just nonpartisan content like vote that they are 172 00:09:15,120 --> 00:09:21,760 Speaker 3: suppressing it. And Fowler found that whenever an Instagram account 173 00:09:21,760 --> 00:09:25,160 Speaker 3: creator named missus Frazzld, whose real name is Aeriel Fodar, 174 00:09:26,120 --> 00:09:29,319 Speaker 3: whenever vot mentioned anything related to politics over the last 175 00:09:29,360 --> 00:09:33,120 Speaker 3: six months, her audience size decreased by about forty percent 176 00:09:33,200 --> 00:09:36,680 Speaker 3: compared to her non political posts. And when she used 177 00:09:36,720 --> 00:09:39,840 Speaker 3: the word vote in a captured across eleven posts, the 178 00:09:40,040 --> 00:09:44,320 Speaker 3: average audience was sixty three percent smaller, and her experience 179 00:09:44,360 --> 00:09:48,679 Speaker 3: is not isolated. Fowler, this is a Washington Post investigative reporter, 180 00:09:48,760 --> 00:09:53,199 Speaker 3: found several other Instagram creators who noticed a similar pattern, 181 00:09:53,240 --> 00:09:56,640 Speaker 3: and it's not unique to individual accounts. There was a 182 00:09:56,679 --> 00:09:59,880 Speaker 3: wider study by an advocacy group called Accountable Tech that 183 00:10:00,120 --> 00:10:04,520 Speaker 3: quantified the audience drops for five prominent leftist Instagram accounts, 184 00:10:04,559 --> 00:10:08,079 Speaker 3: including the Human Rights Campaign and Feminist and over ten 185 00:10:08,120 --> 00:10:11,400 Speaker 3: weeks this spring, their average audiences fell by sixty five percent. 186 00:10:11,960 --> 00:10:15,040 Speaker 3: The study found that conservative accounts experienced a similar drop 187 00:10:15,040 --> 00:10:20,680 Speaker 3: in engagement when discussing political topics and metas. Suppression of 188 00:10:20,720 --> 00:10:27,600 Speaker 3: political content happened when Zuckerberg in twenty twenty one decided 189 00:10:27,600 --> 00:10:31,960 Speaker 3: to pull back on political content and just try to 190 00:10:32,120 --> 00:10:36,360 Speaker 3: avoid politics. Now, look, I'd rather they avoid politics than 191 00:10:37,120 --> 00:10:40,440 Speaker 3: actively be biased, which is how they were in the 192 00:10:40,480 --> 00:10:44,640 Speaker 3: twenty twenty election. But silencing the ability of citizens to 193 00:10:44,720 --> 00:10:47,520 Speaker 3: talk about politics is a really bad dynamic. And you 194 00:10:47,559 --> 00:10:50,920 Speaker 3: contrast that to X, which I think X, with Elon 195 00:10:51,000 --> 00:10:54,079 Speaker 3: Musk's having purchased it is the new town Square. But 196 00:10:55,160 --> 00:11:01,480 Speaker 3: Facebook and Instagram have huge reaches and silencing politics it 197 00:11:01,520 --> 00:11:03,199 Speaker 3: is really harmful for democracy. 198 00:11:03,400 --> 00:11:05,839 Speaker 2: Now, if you want to hear the rest of this conversation, 199 00:11:06,040 --> 00:11:08,360 Speaker 2: you can go back and listen to the full podcast 200 00:11:08,480 --> 00:11:09,680 Speaker 2: from earlier this week. 201 00:11:10,720 --> 00:11:12,239 Speaker 1: Now onto story number. 202 00:11:11,960 --> 00:11:17,480 Speaker 3: Two, MSNBC pushes her on Joe Biden's cognitive state, and 203 00:11:17,520 --> 00:11:18,920 Speaker 3: again her answer is terrible. 204 00:11:18,920 --> 00:11:19,480 Speaker 1: Give a listen. 205 00:11:20,000 --> 00:11:21,720 Speaker 4: Can you say that you were honest with the American 206 00:11:21,760 --> 00:11:24,439 Speaker 4: people about what you saw in those moments with President 207 00:11:24,440 --> 00:11:26,960 Speaker 4: Biden as you were with him again and again repeatedly 208 00:11:27,040 --> 00:11:27,680 Speaker 4: in that time. 209 00:11:28,440 --> 00:11:37,959 Speaker 5: Of course, Joe Biden is an extremely accomplished, experienced and 210 00:11:40,120 --> 00:11:44,840 Speaker 5: capable in every way that anyone would want if they're president, 211 00:11:44,880 --> 00:11:45,959 Speaker 5: and you never saw anything like. 212 00:11:45,920 --> 00:11:48,520 Speaker 4: What happened at the debate night behind closed doors with him. 213 00:11:49,080 --> 00:11:52,880 Speaker 1: It was a bad debate. People have bad debates. He 214 00:11:53,240 --> 00:11:54,840 Speaker 1: is absolutely that's. 215 00:11:54,679 --> 00:11:57,200 Speaker 4: The reason why you're here. And he's not running for 216 00:11:57,240 --> 00:11:58,200 Speaker 4: the top of the ticket. 217 00:11:59,080 --> 00:12:01,720 Speaker 5: Well, you'd have to ask him if that's the only reason, why, 218 00:12:02,559 --> 00:12:05,920 Speaker 5: what do you think I am running for president in 219 00:12:05,920 --> 00:12:10,160 Speaker 5: the United States? Joe Biden is not. And my presidency 220 00:12:10,240 --> 00:12:15,480 Speaker 5: will be about bringing a new generation of leadership to 221 00:12:15,520 --> 00:12:18,679 Speaker 5: America that is focused on the work that we need 222 00:12:18,720 --> 00:12:21,160 Speaker 5: to do to invest in the ambitions and aspirations of 223 00:12:21,200 --> 00:12:22,040 Speaker 5: the American people. 224 00:12:23,160 --> 00:12:25,679 Speaker 2: I mean, that's just a bad answer, Like it's an 225 00:12:25,720 --> 00:12:27,680 Speaker 2: answer that you're sitting there and if you work on 226 00:12:27,720 --> 00:12:31,720 Speaker 2: her staff, you can't think that this is going well well. 227 00:12:31,920 --> 00:12:34,320 Speaker 3: And she continued to get pressed on the fact that 228 00:12:34,360 --> 00:12:36,880 Speaker 3: Biden has obviously diminished and she dug it even more. 229 00:12:36,920 --> 00:12:39,040 Speaker 3: Give a listen to how she continued, It's. 230 00:12:38,920 --> 00:12:41,280 Speaker 4: A judgment question. That's why I ask, can the American 231 00:12:41,280 --> 00:12:43,440 Speaker 4: people trust you in these moments even when it's maybe 232 00:12:43,480 --> 00:12:47,280 Speaker 4: uncomfortable for Americans to have to level with Americans in 233 00:12:47,320 --> 00:12:47,760 Speaker 4: that way? 234 00:12:47,920 --> 00:12:48,679 Speaker 1: So that's why I ask. 235 00:12:48,720 --> 00:12:50,200 Speaker 4: And it sounds like what you're saying is you feel 236 00:12:50,200 --> 00:12:52,319 Speaker 4: like you never saw anything like that from President Biden. 237 00:12:52,360 --> 00:12:56,000 Speaker 5: I have worked with Joe Biden, whether hours and hours 238 00:12:56,040 --> 00:12:59,240 Speaker 5: and hours over these four years, whether it be in 239 00:12:59,360 --> 00:13:03,360 Speaker 5: the situation, rumor of the Oval Office, Joe Biden is 240 00:13:03,960 --> 00:13:07,560 Speaker 5: the one who was able to bring NATO together during 241 00:13:07,640 --> 00:13:10,880 Speaker 5: a crisis where for the first time in seventy years, 242 00:13:10,880 --> 00:13:14,680 Speaker 5: Europe saw and has seen war. Joe Biden has done 243 00:13:14,720 --> 00:13:17,560 Speaker 5: the work that has been about being a leader on 244 00:13:17,960 --> 00:13:20,520 Speaker 5: what we have done to fix so much of what 245 00:13:20,600 --> 00:13:22,559 Speaker 5: has been broken in terms of the economy because of 246 00:13:22,640 --> 00:13:27,959 Speaker 5: Donald Trump's mismanagement. I speak with not only sincerity, but 247 00:13:28,080 --> 00:13:34,640 Speaker 5: with a real first hand account of watching him do 248 00:13:34,720 --> 00:13:37,280 Speaker 5: this work. I have no reluctance in saying that, no, 249 00:13:37,440 --> 00:13:38,640 Speaker 5: of course I don't. 250 00:13:39,320 --> 00:13:41,480 Speaker 2: She, by the way, was not happy at the end 251 00:13:41,520 --> 00:13:44,839 Speaker 2: of that question, because I think she knew this was 252 00:13:44,880 --> 00:13:46,000 Speaker 2: a screw. 253 00:13:45,679 --> 00:13:47,000 Speaker 1: Up for her. 254 00:13:47,320 --> 00:13:50,800 Speaker 3: Well, look, in a lot of ways, it's an impossible 255 00:13:50,880 --> 00:13:53,880 Speaker 3: question for her. Because let's assume for a second that 256 00:13:54,360 --> 00:13:57,960 Speaker 3: Kamala Harris hires Ben Ferguson to coach here on this question. 257 00:13:58,960 --> 00:14:03,080 Speaker 3: And let's assume that Ferguson his brain is cup captured 258 00:14:03,120 --> 00:14:06,040 Speaker 3: by body snatchers and he decides he's willing to work 259 00:14:06,080 --> 00:14:09,320 Speaker 3: for Kamala Harris. I ask you, in all seriousness, what 260 00:14:09,320 --> 00:14:11,280 Speaker 3: would you tell her, because there's nothing she can say. 261 00:14:11,320 --> 00:14:13,559 Speaker 3: There is no answer to give to this question because 262 00:14:13,600 --> 00:14:16,880 Speaker 3: the truth of the matter. Okay, here's the honest answer. Yes, 263 00:14:17,440 --> 00:14:19,240 Speaker 3: of course I knew he was senile. Of course I 264 00:14:19,320 --> 00:14:21,360 Speaker 3: knew he was incompetent. Every person in the room knew 265 00:14:21,400 --> 00:14:23,800 Speaker 3: he was incompetent. The guy couldn't tie his shoes. He 266 00:14:23,840 --> 00:14:27,440 Speaker 3: was utterly and completely in the full throes of dementia. 267 00:14:27,480 --> 00:14:30,600 Speaker 3: That was obvious to every person there. Now, that would 268 00:14:30,640 --> 00:14:34,320 Speaker 3: have the advantage of being true, but it would also 269 00:14:34,400 --> 00:14:36,920 Speaker 3: be an admission that she spent four years lying to 270 00:14:36,960 --> 00:14:39,880 Speaker 3: the American people on a daily basis, So she can't 271 00:14:39,880 --> 00:14:45,000 Speaker 3: say that, So she has to instead say Nope, nothing 272 00:14:45,000 --> 00:14:48,600 Speaker 3: seemed wrong to me. Everything seemed fine. He was the smartest, 273 00:14:48,600 --> 00:14:53,080 Speaker 3: most handsome, most amazing leader I've ever seen. Huh Who knew? 274 00:14:53,400 --> 00:14:56,160 Speaker 3: Who knew that there were issues there? Mind you, You 275 00:14:56,200 --> 00:14:59,600 Speaker 3: and I were talking about this years ago. Anyone observing knew. 276 00:14:59,320 --> 00:15:00,400 Speaker 1: This year ago. 277 00:15:00,880 --> 00:15:06,360 Speaker 3: But she is trapped by her own misconduct because the truth, 278 00:15:07,440 --> 00:15:10,840 Speaker 3: I guess she figures is more damning than the lie. 279 00:15:10,960 --> 00:15:13,000 Speaker 3: I mean, seriously, what would you advise or bet if 280 00:15:13,040 --> 00:15:13,560 Speaker 3: she hired you? 281 00:15:14,040 --> 00:15:15,920 Speaker 2: Yeah, I would have told her a. Look, I think 282 00:15:15,920 --> 00:15:18,480 Speaker 2: you can say, hey, I saw the man this. If 283 00:15:18,520 --> 00:15:20,680 Speaker 2: I was writing a response, I would have said, do 284 00:15:20,800 --> 00:15:22,640 Speaker 2: it this way. I look, I worked with the man 285 00:15:22,680 --> 00:15:27,640 Speaker 2: every day. When you see somebody every day, sometimes you 286 00:15:27,680 --> 00:15:30,400 Speaker 2: may not realize how much there is a decline. But 287 00:15:30,480 --> 00:15:33,320 Speaker 2: when I watched him during the debate, many of us 288 00:15:33,400 --> 00:15:36,120 Speaker 2: privately after that knew that we need to have a conversation. 289 00:15:36,520 --> 00:15:40,120 Speaker 2: That conversation took place, and he did the right thing 290 00:15:40,160 --> 00:15:41,800 Speaker 2: for the country. And that's why I'm sitting here in 291 00:15:41,840 --> 00:15:44,200 Speaker 2: front of you today. But you also have to understand 292 00:15:44,240 --> 00:15:46,360 Speaker 2: then she had give him smack. Did he did this well? 293 00:15:46,400 --> 00:15:48,800 Speaker 2: And this well well, and this well? And I think 294 00:15:48,840 --> 00:15:51,360 Speaker 2: even now Joe Biden understands it's time for riend to retire. 295 00:15:51,400 --> 00:15:52,960 Speaker 2: That's why I'm sitting in front of you. That would 296 00:15:52,960 --> 00:15:54,640 Speaker 2: have been a better answer to straight up lying to 297 00:15:54,680 --> 00:15:57,440 Speaker 2: the American people saying I saw nothing at all, because 298 00:15:57,480 --> 00:15:58,720 Speaker 2: that's when they don't believe you. 299 00:15:59,400 --> 00:16:03,160 Speaker 3: Yeah, look, yours is the Sergeant Schultz answer from Hogan's hearing, 300 00:16:03,200 --> 00:16:05,920 Speaker 3: I see nothing, I know nothing that That was her answer. 301 00:16:06,440 --> 00:16:07,280 Speaker 1: Yeah it is. 302 00:16:07,400 --> 00:16:11,840 Speaker 2: And this goes back to the trustworthy aspect of Kamala. 303 00:16:12,280 --> 00:16:15,200 Speaker 2: And if you look at her. She was confronted, for example, 304 00:16:15,200 --> 00:16:19,880 Speaker 2: on Bidenomics, which she's touted as being amazing. Right, she's 305 00:16:19,920 --> 00:16:23,640 Speaker 2: obsessed with it. It was awesome, We've got a great economy. 306 00:16:23,760 --> 00:16:27,680 Speaker 2: Bidenomics is everything. It's doing well. And then she's asked 307 00:16:27,720 --> 00:16:31,760 Speaker 2: about it now because the majority of American voters, and 308 00:16:31,880 --> 00:16:36,200 Speaker 2: minority voters especially are going, no, it's not great. We're suffering, 309 00:16:36,240 --> 00:16:37,800 Speaker 2: we're hurting, and. 310 00:16:37,800 --> 00:16:40,280 Speaker 4: I wonder are the last four years an obstacle to 311 00:16:40,320 --> 00:16:40,960 Speaker 4: you in this race. 312 00:16:42,160 --> 00:16:44,760 Speaker 5: Here's how I look at it. First of all, let 313 00:16:44,800 --> 00:16:47,440 Speaker 5: me be very clear. Mine will not be a continuation 314 00:16:47,520 --> 00:16:49,960 Speaker 5: of the Biden administration. I bring my own experiences, my 315 00:16:50,000 --> 00:16:53,120 Speaker 5: own ideas to it, and it has informed a number 316 00:16:53,160 --> 00:16:55,560 Speaker 5: of my areas of focus, most of which are on 317 00:16:55,600 --> 00:16:58,680 Speaker 5: to your point, lowering costs. So part of my plan 318 00:16:58,760 --> 00:17:00,760 Speaker 5: includes what we need to do to bring down the 319 00:17:01,000 --> 00:17:03,840 Speaker 5: price of groceries, including the work I will do dealing 320 00:17:03,880 --> 00:17:05,840 Speaker 5: with price gouging, something I dealt with when I was 321 00:17:05,880 --> 00:17:08,280 Speaker 5: Attorney General, something I will deal with going forward. 322 00:17:08,400 --> 00:17:10,159 Speaker 4: Then why do you think that's not landing with voters, 323 00:17:10,240 --> 00:17:12,640 Speaker 4: because in the numbers it's the opposite. Former President Trump 324 00:17:12,720 --> 00:17:13,760 Speaker 4: leads you on this issue. 325 00:17:13,840 --> 00:17:14,920 Speaker 1: Well, when I'm out. 326 00:17:15,000 --> 00:17:18,960 Speaker 5: This is why I'm going out to Wisconsin, Pennsylvania. 327 00:17:18,640 --> 00:17:18,720 Speaker 6: And. 328 00:17:20,600 --> 00:17:22,159 Speaker 1: In Michigan. Michigan, excuse me. 329 00:17:22,440 --> 00:17:25,520 Speaker 5: Just got in lately this morning, actually, but going to 330 00:17:25,560 --> 00:17:27,840 Speaker 5: three states yesterday, and I'm going to continue being on 331 00:17:27,880 --> 00:17:28,240 Speaker 5: the road. 332 00:17:28,480 --> 00:17:29,879 Speaker 1: I have to earn the vote. 333 00:17:31,560 --> 00:17:35,639 Speaker 2: That's breaking news. My administration will not be a continuation 334 00:17:35,800 --> 00:17:37,840 Speaker 2: of his. In other words, yes, what we did was 335 00:17:38,040 --> 00:17:41,120 Speaker 2: what sucked. It was bad for the American people, and 336 00:17:41,200 --> 00:17:43,399 Speaker 2: so therefore I don't want to be connected in But 337 00:17:43,400 --> 00:17:45,120 Speaker 2: then I want to immediately tell you that I'm proud 338 00:17:45,160 --> 00:17:48,240 Speaker 2: of what we've done together while I was in office. 339 00:17:48,240 --> 00:17:50,280 Speaker 2: It's like, if you say that to the American people 340 00:17:50,280 --> 00:17:52,240 Speaker 2: that are hurting, I don't see how that ends well 341 00:17:52,280 --> 00:17:52,600 Speaker 2: for you. 342 00:17:53,240 --> 00:17:55,600 Speaker 3: Well, and remember that's the exact opposite of what she 343 00:17:55,680 --> 00:17:57,520 Speaker 3: told the view. If you asked her, how will your 344 00:17:58,400 --> 00:18:01,080 Speaker 3: administration be different from the Byday administration? She said, Oh, 345 00:18:01,119 --> 00:18:02,760 Speaker 3: I can't think of a thing I do differently. I 346 00:18:02,760 --> 00:18:05,200 Speaker 3: can't think of anything. And yet now she's saying mine 347 00:18:05,240 --> 00:18:07,680 Speaker 3: will not be continuation of the Biden administration. How is 348 00:18:07,720 --> 00:18:10,240 Speaker 3: it different? Well, I'm me, I'm not him. I'll just 349 00:18:10,280 --> 00:18:12,440 Speaker 3: do exactly the same thing he was doing. But we're 350 00:18:12,440 --> 00:18:13,840 Speaker 3: different people. That's how it's different. 351 00:18:14,320 --> 00:18:14,679 Speaker 1: Senner. 352 00:18:14,760 --> 00:18:16,679 Speaker 2: One other question I want to ask you about this 353 00:18:16,760 --> 00:18:20,359 Speaker 2: interview with Harris is they say that she took a 354 00:18:20,480 --> 00:18:24,560 Speaker 2: day off when you ran for president. Did you ever 355 00:18:24,640 --> 00:18:27,080 Speaker 2: take a day off in the last two weeks when 356 00:18:27,080 --> 00:18:31,560 Speaker 2: you're running in a primary to get ready for an interview? 357 00:18:32,320 --> 00:18:36,560 Speaker 2: The whole entire campaign right now seems to be in 358 00:18:36,600 --> 00:18:39,439 Speaker 2: at least a strategy in shambles, Like you're coming to 359 00:18:39,520 --> 00:18:42,520 Speaker 2: Texas where you're not competitive because you want to highlight 360 00:18:42,640 --> 00:18:44,639 Speaker 2: abortion issues. I get it, But why not do that 361 00:18:44,680 --> 00:18:47,600 Speaker 2: in Pennsylvania? Why not do in a swing state? Why 362 00:18:47,600 --> 00:18:49,159 Speaker 2: not doing a place that you think you're going to 363 00:18:49,200 --> 00:18:50,800 Speaker 2: win but it's gotten tight in the polls. 364 00:18:51,960 --> 00:18:55,120 Speaker 3: Yeah, I'll confess I am a lot less critical of 365 00:18:55,119 --> 00:18:59,320 Speaker 3: her on that front than some folks are. Even in 366 00:18:59,800 --> 00:19:03,720 Speaker 3: the most intense campaigning times. I try to take it 367 00:19:03,760 --> 00:19:05,960 Speaker 3: down day a week. I try to take Sundays down 368 00:19:06,600 --> 00:19:09,040 Speaker 3: and be home with the kids, home with Heidi, home 369 00:19:09,080 --> 00:19:12,280 Speaker 3: with the girls. And look, do I do that one 370 00:19:12,359 --> 00:19:15,520 Speaker 3: hundred percent of the time. No, So, for example, like 371 00:19:16,040 --> 00:19:18,919 Speaker 3: right before election day, I might not do that a 372 00:19:19,000 --> 00:19:22,040 Speaker 3: day or two before election day, but even through a 373 00:19:22,080 --> 00:19:25,160 Speaker 3: long campaign. A campaign is a grind a campaign. You're 374 00:19:25,200 --> 00:19:30,480 Speaker 3: going fourteen fifteen, sixteen, seventeen, eighteen hours a day. It's exhausting, 375 00:19:31,320 --> 00:19:34,080 Speaker 3: and so I actually think it matters to take a 376 00:19:34,119 --> 00:19:36,600 Speaker 3: down day, to be with your family, to unplug, to 377 00:19:36,680 --> 00:19:40,160 Speaker 3: sleep in, to go to church at home, to sleep 378 00:19:40,240 --> 00:19:43,200 Speaker 3: in your own bed, and I find you come back 379 00:19:43,880 --> 00:19:48,920 Speaker 3: a better candidate. So on that piece, I'm not particularly critical. 380 00:19:49,160 --> 00:19:51,560 Speaker 3: I think almost every candidate you're better off. If you 381 00:19:51,840 --> 00:19:55,080 Speaker 3: just grind yourself to where you can't see anymore, it 382 00:19:55,200 --> 00:19:56,640 Speaker 3: ends up doing more harm than good. 383 00:19:57,040 --> 00:19:58,679 Speaker 2: Well, and the last thing I want to ask you 384 00:19:58,840 --> 00:20:01,959 Speaker 2: is the news that is come out and it's quietly broken. 385 00:20:02,000 --> 00:20:05,080 Speaker 2: The mainstream media is not talking about it. But Harris's 386 00:20:05,200 --> 00:20:10,600 Speaker 2: town hall moderator admitted the questions were quote pre determined. 387 00:20:11,240 --> 00:20:15,880 Speaker 2: The moderator, Maria Shriver, admitted that the questions again were 388 00:20:16,040 --> 00:20:17,560 Speaker 2: pre determined. 389 00:20:18,200 --> 00:20:20,480 Speaker 1: This is her in her own words. 390 00:20:20,680 --> 00:20:25,199 Speaker 5: You're not unfortunately, we have some pre determined questions, and 391 00:20:25,280 --> 00:20:26,840 Speaker 5: I hopefully I'll be able to ask. 392 00:20:26,680 --> 00:20:28,480 Speaker 4: Some of the questions that might be in your head. 393 00:20:28,520 --> 00:20:28,880 Speaker 1: I hope. 394 00:20:28,920 --> 00:20:32,600 Speaker 2: So that was her talking to the audience. That video 395 00:20:32,640 --> 00:20:35,480 Speaker 2: has been leaked. Someone said we're going to be able 396 00:20:35,480 --> 00:20:38,240 Speaker 2: to ask her own questions, and she says, no, you can't, 397 00:20:38,280 --> 00:20:42,480 Speaker 2: They've been predetermined, meaning the campaign's got them. Kamla knew it. 398 00:20:42,600 --> 00:20:44,760 Speaker 2: This whole thing was a ruse from the very beginning. 399 00:20:44,800 --> 00:20:47,840 Speaker 2: It wasn't an authentic or real town hall. 400 00:20:48,040 --> 00:20:51,600 Speaker 3: Well, look, I could tell you I've done hundreds of 401 00:20:51,640 --> 00:20:54,639 Speaker 3: town halls. I don't think I've ever known the questions 402 00:20:54,720 --> 00:20:57,919 Speaker 3: before in any of them. It is not one hundred 403 00:20:57,960 --> 00:21:01,480 Speaker 3: percent clear from what Maria Shriver's said, whether they were 404 00:21:02,359 --> 00:21:05,760 Speaker 3: predetermined by the network or by the Kamala Harris campaign. 405 00:21:05,800 --> 00:21:08,919 Speaker 3: And I will say those are different. It is possible 406 00:21:09,000 --> 00:21:12,480 Speaker 3: that she's saying no, no, no, We the network picked 407 00:21:12,520 --> 00:21:14,640 Speaker 3: which one of the audience questions we want to ask 408 00:21:14,720 --> 00:21:16,919 Speaker 3: because we wanted to divvy up the topics and not 409 00:21:17,119 --> 00:21:21,120 Speaker 3: have nineteen questions on abortion. We wanted to talk about 410 00:21:21,200 --> 00:21:25,240 Speaker 3: something else that's possible and that might be more understandable. 411 00:21:25,240 --> 00:21:27,320 Speaker 3: But I'll tell you if that's the case, they certainly 412 00:21:27,400 --> 00:21:31,040 Speaker 3: haven't clarified it. It absolutely raised the inference of the 413 00:21:31,080 --> 00:21:36,280 Speaker 3: Kamala Harris campaign had information about what the predetermined questions were. 414 00:21:36,760 --> 00:21:42,119 Speaker 3: And if that's true, then it completely it makes a 415 00:21:42,240 --> 00:21:45,119 Speaker 3: laughing stock about what is supposed to be journalism, because 416 00:21:45,119 --> 00:21:47,560 Speaker 3: that's certainly not like any town hall I've ever done 417 00:21:47,720 --> 00:21:48,440 Speaker 3: as before. 418 00:21:48,600 --> 00:21:50,480 Speaker 2: If you want to hear the rest of this conversation 419 00:21:50,800 --> 00:21:53,080 Speaker 2: on this topic, you can go back and dow the 420 00:21:53,280 --> 00:21:55,840 Speaker 2: podcast from earlier this week to hear the entire thing. 421 00:21:57,119 --> 00:21:59,440 Speaker 2: I want to get back to the big story number 422 00:21:59,480 --> 00:22:00,119 Speaker 2: three of the week. 423 00:22:00,160 --> 00:22:02,040 Speaker 1: You may have missed this is I. 424 00:22:01,960 --> 00:22:04,520 Speaker 2: Do believe going to be the Achilles Hill for her 425 00:22:04,640 --> 00:22:07,560 Speaker 2: on election day, and that is this overall lack of 426 00:22:07,720 --> 00:22:12,280 Speaker 2: cohesion of ideas. I think the flip flopping is hurting her, 427 00:22:12,840 --> 00:22:18,800 Speaker 2: which brings me to what she's doing today in Texas. 428 00:22:19,600 --> 00:22:22,399 Speaker 2: She's not coming to campaign necessarily in Texas, because I 429 00:22:22,400 --> 00:22:24,720 Speaker 2: don't think she believes she's going to win in Texas. 430 00:22:25,400 --> 00:22:30,399 Speaker 2: She is coming, however, to attack Texas and Texas laws 431 00:22:30,880 --> 00:22:32,720 Speaker 2: to say to the rest of the country, better vote 432 00:22:32,720 --> 00:22:35,800 Speaker 2: for me, so that you don't have people and things 433 00:22:35,880 --> 00:22:39,560 Speaker 2: and ideas that actually are brought to light like they've 434 00:22:39,600 --> 00:22:41,800 Speaker 2: done in Texas that go against what we believe in, 435 00:22:41,840 --> 00:22:45,080 Speaker 2: which is, for example, abortion on demand. This is a 436 00:22:45,200 --> 00:22:48,080 Speaker 2: very interesting and radical strategy all at the same time. 437 00:22:48,200 --> 00:22:52,040 Speaker 1: Do you believe it's going to work? Well? I don't. 438 00:22:52,200 --> 00:22:54,520 Speaker 3: And I think Kamala one of the things that Left 439 00:22:54,520 --> 00:22:57,000 Speaker 3: has decided is that they're going to describe Texas as 440 00:22:57,040 --> 00:23:00,520 Speaker 3: this horrible hell hole and like her messages to be 441 00:23:01,160 --> 00:23:05,080 Speaker 3: vote for me to avoid America becoming like Texas. And 442 00:23:05,520 --> 00:23:08,159 Speaker 3: I got to say, you do have sort of facts 443 00:23:08,160 --> 00:23:11,240 Speaker 3: in reality that crashes into that, which is, for more 444 00:23:11,280 --> 00:23:14,480 Speaker 3: than a decade, Texas has had over one thousand people 445 00:23:14,520 --> 00:23:17,520 Speaker 3: a day moving to our state. People are voting with 446 00:23:17,560 --> 00:23:19,600 Speaker 3: their feet. They want to be here. And where do 447 00:23:19,640 --> 00:23:21,919 Speaker 3: they come from. They come from bright blue states. They 448 00:23:21,960 --> 00:23:24,280 Speaker 3: come from her state, they come from California, they come 449 00:23:24,359 --> 00:23:26,480 Speaker 3: from Illinois, they come from New York, they come from 450 00:23:26,520 --> 00:23:29,159 Speaker 3: New Jersey, they come from Connecticut. They come from states 451 00:23:29,200 --> 00:23:35,800 Speaker 3: that have adopted these high tax, high regulation, terrible environment 452 00:23:36,480 --> 00:23:40,200 Speaker 3: for small businesses, terrible environment for jobs. And then soft 453 00:23:40,240 --> 00:23:43,879 Speaker 3: on crime. And by the way, let's listen to her 454 00:23:43,920 --> 00:23:48,720 Speaker 3: answer when she was confronted about her soft on crime policies. 455 00:23:48,800 --> 00:23:50,400 Speaker 3: Let's listen to what she says on that. 456 00:23:51,119 --> 00:23:53,280 Speaker 5: On the issue of law and order, as you mentioned, 457 00:23:53,440 --> 00:23:55,520 Speaker 5: I think there's just a whole lot of misinformation. To 458 00:23:55,560 --> 00:24:00,760 Speaker 5: be honest with you, I have personally prosecuted very serious 459 00:24:00,760 --> 00:24:04,320 Speaker 5: crime it's how I started my career. I spent most 460 00:24:04,359 --> 00:24:07,800 Speaker 5: of my career as a prosecutor, not in Washington, d C. 461 00:24:08,720 --> 00:24:13,000 Speaker 5: And as my first priority had and remains as a 462 00:24:13,040 --> 00:24:15,840 Speaker 5: first prior to me, the safety of the American people. 463 00:24:16,320 --> 00:24:17,680 Speaker 1: So that has not changed. 464 00:24:17,760 --> 00:24:20,960 Speaker 5: And sadly, I think that there's a bit of misinformation, 465 00:24:21,040 --> 00:24:23,600 Speaker 5: if not more than a bit, But I'm glad that 466 00:24:23,640 --> 00:24:25,679 Speaker 5: you raised the subject so that I can address it. 467 00:24:26,640 --> 00:24:31,240 Speaker 2: She again generalities, no actual real answer the question. 468 00:24:31,400 --> 00:24:34,760 Speaker 3: Yeah, does she address True or false. You have repeatedly 469 00:24:34,760 --> 00:24:37,359 Speaker 3: called for defunding the police. Answer true, true or false. 470 00:24:37,359 --> 00:24:40,240 Speaker 3: You've voted for defunding the police. Answer true, true or false. 471 00:24:40,240 --> 00:24:43,880 Speaker 3: You've called for abolishing and defunding ICE. Answer true, true 472 00:24:43,960 --> 00:24:46,800 Speaker 3: or false. You've called for shutting down ICE detention centers 473 00:24:46,800 --> 00:24:48,840 Speaker 3: and pledged to do so on your first day as president. 474 00:24:49,200 --> 00:24:53,119 Speaker 3: Answer true, true or false. You've advocated for releasing violent 475 00:24:53,160 --> 00:24:56,240 Speaker 3: criminals from jail true true or false. You've advocated for 476 00:24:56,440 --> 00:24:59,760 Speaker 3: ending cash bail and letting criminals out without even paying bail. 477 00:25:00,160 --> 00:25:04,040 Speaker 3: True true or false. You have advocating for decriminalizing illegal 478 00:25:04,480 --> 00:25:08,879 Speaker 3: border crossings true all true or false. You raised bail 479 00:25:09,000 --> 00:25:16,160 Speaker 3: money to bail out violent rioters in Minneapolis answer true. Now, 480 00:25:16,520 --> 00:25:18,280 Speaker 3: in the face of all those facts, what does she 481 00:25:18,359 --> 00:25:21,480 Speaker 3: say misinformation, by the way, with no counter narrative, she 482 00:25:21,600 --> 00:25:24,840 Speaker 3: just says, no, no, no, I'm a prosecutor. Look, I was 483 00:25:24,920 --> 00:25:27,560 Speaker 3: raised in the middle class. Look, I'm a prosecutor. Those 484 00:25:27,560 --> 00:25:31,119 Speaker 3: are her two crutches that she goes to repeatedly, but 485 00:25:31,160 --> 00:25:34,560 Speaker 3: then she actually does not address anything that resembles facts. 486 00:25:35,840 --> 00:25:39,160 Speaker 2: Let me also ask you another question about this town 487 00:25:39,200 --> 00:25:42,240 Speaker 2: hall and it dealt with her plan, and it's the 488 00:25:42,320 --> 00:25:45,240 Speaker 2: socialist plan, her plan on groceries. 489 00:25:45,960 --> 00:25:49,320 Speaker 1: She's now tripling down. She tried to run away from it. 490 00:25:49,440 --> 00:25:52,080 Speaker 2: That didn't work, so now she's back at it again, saying, 491 00:25:52,160 --> 00:25:54,280 Speaker 2: if you vote for me, I'm going to give you 492 00:25:54,400 --> 00:25:58,000 Speaker 2: communist price control. She was actually asked a question from 493 00:25:58,040 --> 00:25:59,600 Speaker 2: someone in the audience about this. 494 00:26:01,119 --> 00:26:03,600 Speaker 7: Prices have gone up quite a bit in the last 495 00:26:03,640 --> 00:26:07,160 Speaker 7: four years, and some people blame former President Trump, some 496 00:26:07,200 --> 00:26:10,760 Speaker 7: people blame President Biden. Who would you say is correct 497 00:26:11,160 --> 00:26:14,399 Speaker 7: and what would you do to bring prices down for Americans? 498 00:26:14,600 --> 00:26:16,760 Speaker 5: Thank you, Eric, And you're absolutely right. You know what, 499 00:26:16,880 --> 00:26:19,359 Speaker 5: I know what I think most Americans know it. Price 500 00:26:19,359 --> 00:26:21,720 Speaker 5: and grocery is still too high, and we need to 501 00:26:21,760 --> 00:26:24,000 Speaker 5: address it in a number of ways. One of my 502 00:26:24,560 --> 00:26:26,880 Speaker 5: aspects of doing what we need to do to bring 503 00:26:26,920 --> 00:26:29,000 Speaker 5: down the cost of living for working people in the 504 00:26:29,040 --> 00:26:31,840 Speaker 5: middle class in America is to address the issue of 505 00:26:31,880 --> 00:26:35,280 Speaker 5: grocery prices. Part of my background and how I come 506 00:26:35,320 --> 00:26:37,840 Speaker 5: to it is probably a new approach grounded in a 507 00:26:37,920 --> 00:26:41,080 Speaker 5: lot of my experiences as a former attorney general where 508 00:26:41,080 --> 00:26:44,440 Speaker 5: I took on price gouging, and part of my plan 509 00:26:44,640 --> 00:26:47,480 Speaker 5: is to create a new approach. That is the first 510 00:26:47,520 --> 00:26:50,760 Speaker 5: time that we will have a national ban on price gouging. 511 00:26:51,960 --> 00:26:55,360 Speaker 2: I mean, that seems like the most ridiculous answer, this 512 00:26:55,520 --> 00:26:57,880 Speaker 2: national ban on price gouging. 513 00:26:57,920 --> 00:27:00,480 Speaker 1: We already have a lot of laws on price gouging. 514 00:27:00,560 --> 00:27:03,280 Speaker 2: A lot of states have those laws, and they're the 515 00:27:03,280 --> 00:27:05,439 Speaker 2: ones that usually are implementing them. So what is she 516 00:27:05,560 --> 00:27:09,800 Speaker 2: actually offering up here that everybody that has that's as 517 00:27:09,880 --> 00:27:11,720 Speaker 2: a big store is evil If I don't like their 518 00:27:11,760 --> 00:27:12,800 Speaker 2: price today. 519 00:27:13,160 --> 00:27:16,640 Speaker 3: Well, and listen, in the grocery context, it's it's particularly absurd. 520 00:27:16,680 --> 00:27:19,200 Speaker 3: So states that have price gouging laws, and by the way, 521 00:27:19,240 --> 00:27:22,880 Speaker 3: Texas has a price gouging laws law, they are typically 522 00:27:22,920 --> 00:27:25,720 Speaker 3: focused on emergency. So if you have say a hurricane 523 00:27:26,160 --> 00:27:30,960 Speaker 3: price gouging laws are if if you know, ordinarily you 524 00:27:31,160 --> 00:27:34,320 Speaker 3: charge a dollar for a bottle of water, and a 525 00:27:34,400 --> 00:27:36,679 Speaker 3: hurricane hits and you decide you're going to charge fifty 526 00:27:36,680 --> 00:27:40,520 Speaker 3: dollars for a bottle of water. That's when price gouging 527 00:27:40,600 --> 00:27:44,080 Speaker 3: kicks in. Is that when you're taking a disaster and 528 00:27:44,160 --> 00:27:46,840 Speaker 3: just taking advantage of people in a time of crisis. 529 00:27:46,880 --> 00:27:49,600 Speaker 3: And states do have laws for that, they don't apply 530 00:27:49,840 --> 00:27:53,280 Speaker 3: just to day in, day out the ordinary pricing of 531 00:27:53,320 --> 00:27:56,920 Speaker 3: goods and services, and particularly in the grocery context, that 532 00:27:57,240 --> 00:28:00,439 Speaker 3: the average profit margin in a grocery store it is 533 00:28:00,480 --> 00:28:04,400 Speaker 3: typically one or two percent. So the idea that the 534 00:28:04,440 --> 00:28:08,120 Speaker 3: Feds are going to come like forced grocery stores, it's 535 00:28:08,240 --> 00:28:11,520 Speaker 3: it's it's you know, big grocery that that is the 536 00:28:11,520 --> 00:28:16,080 Speaker 3: cause of inflation rather than the disastrous policy's she has 537 00:28:16,160 --> 00:28:20,119 Speaker 3: led is asinine. But I will say, look look to 538 00:28:20,520 --> 00:28:27,600 Speaker 3: Anderson Cooper's question. You know, to his credit, he pointed out, 539 00:28:27,640 --> 00:28:30,000 Speaker 3: wait a second, you're in the White House right now. 540 00:28:30,080 --> 00:28:32,280 Speaker 3: If this is a good idea, why aren't you doing it? 541 00:28:32,440 --> 00:28:34,680 Speaker 3: And listen to her response about why she hasn't done 542 00:28:34,720 --> 00:28:37,840 Speaker 3: what she's proposing, despite the fact that she's been in 543 00:28:37,840 --> 00:28:39,400 Speaker 3: the White House four years and in power. 544 00:28:41,000 --> 00:28:44,400 Speaker 2: Take a listen, simple question from Anderson Cooper asked to 545 00:28:44,480 --> 00:28:49,600 Speaker 2: Kamwa Harris, and her response is laughable. Some voters, though, 546 00:28:49,680 --> 00:28:51,920 Speaker 2: might ask, you've been in the White House for four years. 547 00:28:51,920 --> 00:28:54,760 Speaker 2: You were vice president, not the president, But why wasn't 548 00:28:54,760 --> 00:28:56,160 Speaker 2: any of that done in the. 549 00:28:56,240 --> 00:28:57,160 Speaker 1: Last four years? 550 00:28:57,760 --> 00:28:59,440 Speaker 5: Well, there was a lot that was done, but there's 551 00:28:59,480 --> 00:29:02,400 Speaker 5: more to do, Anderson, and I'm pointing out things that 552 00:29:02,520 --> 00:29:05,120 Speaker 5: need to be done that haven't been done but need 553 00:29:05,160 --> 00:29:07,000 Speaker 5: to be done. 554 00:29:07,360 --> 00:29:10,000 Speaker 2: You couldn't write a better script for Saturday Night Live. 555 00:29:10,600 --> 00:29:11,080 Speaker 1: There you go. 556 00:29:11,120 --> 00:29:12,760 Speaker 3: I'm pointing out the things that need to be done 557 00:29:12,800 --> 00:29:14,720 Speaker 3: that haven't been done, that need to be done. And 558 00:29:14,760 --> 00:29:16,320 Speaker 3: by the way, I'm the one that didn't do them, 559 00:29:16,320 --> 00:29:17,760 Speaker 3: but I'm the one you can count to do them. 560 00:29:17,800 --> 00:29:23,320 Speaker 3: But actually compare that and combine that with let's remember 561 00:29:23,320 --> 00:29:25,880 Speaker 3: her biggest mistake. But when she's asked, look, people want 562 00:29:25,920 --> 00:29:27,600 Speaker 3: to change the page. They want to turn the page. 563 00:29:27,640 --> 00:29:31,040 Speaker 3: They recognize that the Biden Harris record is a disaster. 564 00:29:31,480 --> 00:29:34,000 Speaker 3: So when she's asked how she's different from Joe Biden, 565 00:29:34,040 --> 00:29:35,120 Speaker 3: take a listen to her answer. 566 00:29:36,320 --> 00:29:39,120 Speaker 6: Considering you've been in the position of Vice president for 567 00:29:39,160 --> 00:29:42,520 Speaker 6: the past four years under the Biden administration. How can 568 00:29:42,520 --> 00:29:44,880 Speaker 6: we expect you to deviate from the direction of that 569 00:29:44,960 --> 00:29:48,640 Speaker 6: administration compared to your own. How can we differentiate your 570 00:29:48,760 --> 00:29:51,440 Speaker 6: policy and your beliefs from that of Biden's. 571 00:29:51,800 --> 00:29:55,200 Speaker 5: That's a great question, and thank you well. First of all, 572 00:29:56,120 --> 00:29:59,280 Speaker 5: my administration will not be a continuation of the Biden administration. 573 00:30:00,440 --> 00:30:05,080 Speaker 5: To this role, my own ideas and my own experience. 574 00:30:05,960 --> 00:30:09,320 Speaker 5: I represent a new generation of leadership on a number 575 00:30:09,320 --> 00:30:12,560 Speaker 5: of issues and believe that we have to actually take 576 00:30:12,640 --> 00:30:15,640 Speaker 5: new approaches. For example, what we talked about in terms 577 00:30:15,680 --> 00:30:22,080 Speaker 5: of housing. My experience that leads to that priority includes 578 00:30:22,160 --> 00:30:24,360 Speaker 5: what I did to take on the big banks around 579 00:30:24,400 --> 00:30:27,960 Speaker 5: the foreclosure crisis, when I brought billions of dollars to 580 00:30:28,040 --> 00:30:31,040 Speaker 5: homeowners that were the subject of predatory lending. I know 581 00:30:31,120 --> 00:30:34,840 Speaker 5: what homeownership means to the American people, not to mention 582 00:30:34,960 --> 00:30:37,080 Speaker 5: what it meant to my mother, who worked very hard 583 00:30:37,080 --> 00:30:39,160 Speaker 5: and saved up so that by the time I was 584 00:30:39,200 --> 00:30:41,840 Speaker 5: a teenager, she was able to buy our first home. 585 00:30:42,280 --> 00:30:45,720 Speaker 5: I bring to it my experience actually taking care of 586 00:30:45,760 --> 00:30:47,560 Speaker 5: my mother when she was sick, and it was, as 587 00:30:47,640 --> 00:30:51,200 Speaker 5: it turned out, dying from cancer, and so I know 588 00:30:51,360 --> 00:30:54,040 Speaker 5: what it means and have the experience of taking care 589 00:30:54,360 --> 00:30:59,400 Speaker 5: of an elderly relative, and I have raised children, and 590 00:30:59,480 --> 00:31:03,320 Speaker 5: so I bring to my priorities and will as president 591 00:31:03,480 --> 00:31:06,880 Speaker 5: a new approach and a new idea frankly, about what 592 00:31:06,920 --> 00:31:08,840 Speaker 5: we need to do to deal with the Sandwich generation. 593 00:31:10,040 --> 00:31:13,840 Speaker 2: There it is. It's it's I'm not him. His policies 594 00:31:13,880 --> 00:31:17,360 Speaker 2: are terrible. I'm different. But a month ago I told 595 00:31:17,400 --> 00:31:20,360 Speaker 2: you we were amazing together and his policies were amazing. 596 00:31:21,280 --> 00:31:23,640 Speaker 3: And the difference is I'm a new generation. I actually 597 00:31:23,680 --> 00:31:26,240 Speaker 3: care about people, unlike that old geezer. By the way, 598 00:31:26,240 --> 00:31:27,760 Speaker 3: I know what it's like to care for old geezers. 599 00:31:27,800 --> 00:31:29,080 Speaker 3: Look at the one I care for in the White 600 00:31:29,080 --> 00:31:30,600 Speaker 3: House right now that I lied to you about and 601 00:31:30,640 --> 00:31:33,280 Speaker 3: said was brilliant engage when he actually isn't. I mean, 602 00:31:33,320 --> 00:31:38,560 Speaker 3: I mean it truly is it. It is a miracle 603 00:31:38,840 --> 00:31:44,080 Speaker 3: of circularity. But but we actually should close on what 604 00:31:44,120 --> 00:31:46,720 Speaker 3: we opened on. We talked about how she held a 605 00:31:46,800 --> 00:31:49,120 Speaker 3: press conference to say that Trump is a fascist and 606 00:31:49,160 --> 00:31:52,000 Speaker 3: Trump is hitler. She's not running away from that. That 607 00:31:51,720 --> 00:31:55,520 Speaker 3: that that that's her big October surprise. So so give 608 00:31:55,560 --> 00:31:58,000 Speaker 3: a listen when when when she's asked asked whether she 609 00:31:58,040 --> 00:31:59,240 Speaker 3: thinks Trump is a fascist? 610 00:32:00,400 --> 00:32:02,240 Speaker 1: Do you think Donald Trump is a fascist? 611 00:32:02,280 --> 00:32:02,440 Speaker 5: Yes? 612 00:32:02,480 --> 00:32:04,280 Speaker 1: I do, Yes, I do. 613 00:32:05,360 --> 00:32:08,440 Speaker 5: And I also believe that the people who know him 614 00:32:08,480 --> 00:32:10,920 Speaker 5: best on this subject should be trusted. 615 00:32:12,280 --> 00:32:15,120 Speaker 1: Senator, I go back to the dog whistle. 616 00:32:16,040 --> 00:32:19,800 Speaker 2: This is so concerning to me because all I hear is, Hey, 617 00:32:20,040 --> 00:32:22,200 Speaker 2: if there's someone out there that wants to finish the job, 618 00:32:22,240 --> 00:32:25,880 Speaker 2: these other two attempted assassins were trying to finish. The 619 00:32:25,880 --> 00:32:29,400 Speaker 2: President's already been shot once. We've dehumanized him to the 620 00:32:29,440 --> 00:32:32,560 Speaker 2: point where we're right back to calling him a fascist, 621 00:32:32,600 --> 00:32:36,320 Speaker 2: and earlier today in front of the official American flag 622 00:32:36,480 --> 00:32:39,520 Speaker 2: at the home of the Vice President, I'm telling you 623 00:32:39,600 --> 00:32:43,480 Speaker 2: he's hitler. I cannot believe the level of hatred and 624 00:32:43,560 --> 00:32:47,520 Speaker 2: irresponsibility from Kamwa Harris in this moment. 625 00:32:48,040 --> 00:32:50,200 Speaker 3: At the same time that they're sending out Barack Obama 626 00:32:50,280 --> 00:32:53,040 Speaker 3: to say we need more civility and decency in this 627 00:32:53,400 --> 00:32:55,440 Speaker 3: bitterness is too much. And by the way, my opponent 628 00:32:55,480 --> 00:32:59,360 Speaker 3: is hitler. They managed to say those without taking a 629 00:32:59,360 --> 00:33:00,880 Speaker 3: breath between those two statements. 630 00:33:01,520 --> 00:33:04,840 Speaker 2: As always, thank you for listening to Verdict with Sentner, 631 00:33:04,880 --> 00:33:07,320 Speaker 2: Ted Cruz, Ben Ferguson with you don't forget to deal 632 00:33:07,400 --> 00:33:09,600 Speaker 2: with my podcast, and you can listen to my podcast 633 00:33:09,680 --> 00:33:11,640 Speaker 2: every other day you're not listening to Verdict or each 634 00:33:11,720 --> 00:33:14,160 Speaker 2: day when you listen to Verdict. Afterwards, I'd love to 635 00:33:14,160 --> 00:33:17,240 Speaker 2: have you as a listener to again the Ben Ferguson podcasts, 636 00:33:17,280 --> 00:33:19,760 Speaker 2: and we will see you back here on Monday morning.