1 00:00:02,759 --> 00:00:07,200 Speaker 1: On scols Oskolia. This is the Reader Penalty Show. 2 00:00:09,119 --> 00:00:11,559 Speaker 2: Good evening and welcome to the Riata Patty Show. 3 00:00:11,600 --> 00:00:15,160 Speaker 3: Coming up tonight, New South Wales Police Minister Yasmin Cadley 4 00:00:15,360 --> 00:00:19,760 Speaker 3: under fire for back in climate protesters planning to blockade 5 00:00:19,800 --> 00:00:23,800 Speaker 3: the port of Newcastle. Nikata will join you shortly. President 6 00:00:23,880 --> 00:00:28,120 Speaker 3: Biden and President elect Donald Trump exchange pleasantries at the 7 00:00:28,160 --> 00:00:31,800 Speaker 3: White House Kosher Gator with the latest US news, and 8 00:00:31,920 --> 00:00:34,559 Speaker 3: later in the hour Ollie London will be here to 9 00:00:34,640 --> 00:00:38,760 Speaker 3: look at the funniest post election meltdowns. And we also 10 00:00:38,840 --> 00:00:44,800 Speaker 3: have an extended edition of Left He's Losing It, Pete Heigs. 11 00:00:47,920 --> 00:00:51,520 Speaker 4: So is this the guy who's qualified to make decisions 12 00:00:51,520 --> 00:00:54,480 Speaker 4: about the most powerful military in the world, who clearly 13 00:00:54,520 --> 00:00:56,800 Speaker 4: does not know anything about the military? 14 00:00:56,800 --> 00:00:56,960 Speaker 5: You know? 15 00:00:57,200 --> 00:00:59,680 Speaker 3: But first, it's not just Australians who are talking about 16 00:00:59,760 --> 00:01:04,160 Speaker 3: late as proposed social media regulations. American journalist Michael Schllenberger, 17 00:01:04,200 --> 00:01:08,640 Speaker 3: who uncovered the Twitter files, has slammed the Australian Government's 18 00:01:08,720 --> 00:01:12,839 Speaker 3: Misinformation Bill, which if passed, would give a bureaucratic body 19 00:01:12,880 --> 00:01:16,720 Speaker 3: the power to force tech giants to censor what you say. 20 00:01:17,319 --> 00:01:21,800 Speaker 3: Michael Schellenberger wrote the Australian government is specifically attacking Trump 21 00:01:21,840 --> 00:01:25,480 Speaker 3: as a source of misinformation. In doing so, it is 22 00:01:25,520 --> 00:01:29,720 Speaker 3: spreading its own disinformation about what Trump did and did 23 00:01:29,760 --> 00:01:33,560 Speaker 3: not say. This is because the examples of misinformation the 24 00:01:33,600 --> 00:01:37,480 Speaker 3: government uses in its explanation of these laws appears to 25 00:01:37,520 --> 00:01:42,839 Speaker 3: be based on misinformation false claims about Donald Trump encouraging 26 00:01:42,880 --> 00:01:47,039 Speaker 3: people to inject bleach. Joining me now is senior fellow 27 00:01:47,080 --> 00:01:48,880 Speaker 3: at the Menzies Research. 28 00:01:48,560 --> 00:01:49,720 Speaker 2: Center, Nick Cata. 29 00:01:49,880 --> 00:01:56,280 Speaker 3: Nick. So we've got labor using misinformation to sell their 30 00:01:56,320 --> 00:01:57,680 Speaker 3: misinformation bill. 31 00:01:57,760 --> 00:01:59,880 Speaker 2: It's almost comical. 32 00:02:00,760 --> 00:02:03,480 Speaker 1: So it would be comic or reader, but it is 33 00:02:03,680 --> 00:02:07,240 Speaker 1: a portent of what is to come when these things 34 00:02:07,240 --> 00:02:10,239 Speaker 1: are decided by the body that was set up to 35 00:02:10,440 --> 00:02:14,520 Speaker 1: organize transmission towers for broadcasting stations. They're going to be 36 00:02:14,560 --> 00:02:18,600 Speaker 1: in charge of this Akma and they'll be making these 37 00:02:18,720 --> 00:02:22,239 Speaker 1: arbitrary decisions all the time on some woke whim. I'm 38 00:02:22,240 --> 00:02:24,280 Speaker 1: afraid we were always going to get you this place. 39 00:02:24,360 --> 00:02:27,600 Speaker 1: This is a frightening thing, you know. Begin always begins 40 00:02:27,600 --> 00:02:29,720 Speaker 1: with them trying to persuade us to be nice and 41 00:02:29,800 --> 00:02:32,280 Speaker 1: say the right things. And then they tried a little 42 00:02:32,280 --> 00:02:35,320 Speaker 1: bit of coercion, and finally they moved to censorship. And 43 00:02:35,520 --> 00:02:38,120 Speaker 1: this is a long way from the political correctness of 44 00:02:38,160 --> 00:02:41,720 Speaker 1: the nineteen nineties and early two thousands. They've now got 45 00:02:41,760 --> 00:02:43,800 Speaker 1: to the point where they don't just frown at you 46 00:02:43,880 --> 00:02:45,800 Speaker 1: for saying the wrong thing. You're going to be in 47 00:02:45,840 --> 00:02:46,600 Speaker 1: serious trouble. 48 00:02:49,040 --> 00:02:53,559 Speaker 3: And the wrong thing can be something like men can't breastfeed. 49 00:02:53,919 --> 00:02:56,120 Speaker 2: That's the sort of tweet. 50 00:02:55,840 --> 00:02:58,480 Speaker 3: That in the past has been censored by our a 51 00:02:58,639 --> 00:03:03,920 Speaker 3: Safety commissioner. Labour's other major reform in this space to 52 00:03:04,040 --> 00:03:10,080 Speaker 3: ban under sixteens from accessing social media. That's prompting concerns 53 00:03:10,120 --> 00:03:14,560 Speaker 3: as well because this requirement of age verification through ID 54 00:03:14,720 --> 00:03:20,040 Speaker 3: documents NICK is an effect imposing digital ID on all 55 00:03:20,080 --> 00:03:23,000 Speaker 3: of us. If you are sixty years old and you 56 00:03:23,080 --> 00:03:27,320 Speaker 3: want to be on X or on Instagram, you need 57 00:03:27,360 --> 00:03:29,079 Speaker 3: to verify your age. 58 00:03:29,840 --> 00:03:32,800 Speaker 1: This stuff drives me nuts online reader, and about you 59 00:03:33,200 --> 00:03:35,640 Speaker 1: having to are you a robot? Yes or no? You 60 00:03:35,640 --> 00:03:38,120 Speaker 1: know all this sort of stuff. But you know this 61 00:03:38,200 --> 00:03:40,120 Speaker 1: is what labor does, isn't it. They did it with 62 00:03:40,440 --> 00:03:42,880 Speaker 1: you know, it happens with the Remember the Banking Royal 63 00:03:42,920 --> 00:03:46,600 Speaker 1: Commission that ended up putting so much red tape there 64 00:03:46,640 --> 00:03:48,680 Speaker 1: that you just don't bother applying for a credit card 65 00:03:48,720 --> 00:03:50,600 Speaker 1: these days, because you don't want to give away five 66 00:03:50,640 --> 00:03:53,120 Speaker 1: weeks of your life filling in forms. You know that 67 00:03:53,160 --> 00:03:56,520 Speaker 1: this is their approach, a bureaucratic approach. A much better 68 00:03:56,640 --> 00:04:01,280 Speaker 1: approach I've always argued was to empower parents to get 69 00:04:01,320 --> 00:04:04,200 Speaker 1: the tools from the social media companies and from Google 70 00:04:04,600 --> 00:04:08,960 Speaker 1: and from Amazon and others that would allow them to 71 00:04:09,120 --> 00:04:12,720 Speaker 1: monitor their kids online activity. Put the parents in charge, 72 00:04:12,800 --> 00:04:16,040 Speaker 1: not the state, and a caring parent is going to 73 00:04:16,040 --> 00:04:18,200 Speaker 1: be much more effective of this than ten layers of 74 00:04:18,240 --> 00:04:21,440 Speaker 1: bureaucracy and awful you know and checks and identities and 75 00:04:21,480 --> 00:04:22,160 Speaker 1: all this stuff. 76 00:04:24,279 --> 00:04:27,839 Speaker 3: Yeah, if we all have to verify our age with 77 00:04:28,000 --> 00:04:32,360 Speaker 3: digital ID, that's the ramifications of that are far broader 78 00:04:32,400 --> 00:04:37,440 Speaker 3: than ticking boxes or saying you're over eighteen or not. 79 00:04:37,880 --> 00:04:40,000 Speaker 2: I think I don't know if these. 80 00:04:39,839 --> 00:04:43,240 Speaker 3: Are unintended consequences or this is really what they wanted 81 00:04:43,279 --> 00:04:46,880 Speaker 3: to do all along. Now you've written in The Australian 82 00:04:47,040 --> 00:04:51,760 Speaker 3: that next year's federal election could be Australia's Brexit moment. 83 00:04:52,200 --> 00:04:54,640 Speaker 3: You're right that the good news for the Coalition is 84 00:04:54,640 --> 00:04:58,800 Speaker 3: that Labor intends to copy almost everything in the disastrous 85 00:04:58,839 --> 00:05:04,080 Speaker 3: Democrat campaign. But nick are the coalition astute enough and 86 00:05:04,200 --> 00:05:08,159 Speaker 3: brave enough to recognize the political opportunity they have right now. 87 00:05:09,040 --> 00:05:11,560 Speaker 1: Well, you give it to Trump. He was brave, he 88 00:05:11,640 --> 00:05:14,800 Speaker 1: was prepared to go where others were not. And I 89 00:05:14,800 --> 00:05:17,600 Speaker 1: think Peter Dutton's got to do some of this. I 90 00:05:17,640 --> 00:05:19,880 Speaker 1: think that he did it last year with the Voice 91 00:05:19,880 --> 00:05:21,960 Speaker 1: campaign brilliantly. A lot of people said it was a 92 00:05:22,000 --> 00:05:24,839 Speaker 1: career ender for him not to back this wonderful, modest 93 00:05:24,839 --> 00:05:27,599 Speaker 1: proposal to be nice for ever, but it wasn't. You know, 94 00:05:27,800 --> 00:05:30,080 Speaker 1: he picked the right side. He stuck with it. He 95 00:05:30,200 --> 00:05:32,400 Speaker 1: was moderate in his language, but just stuck by it 96 00:05:32,400 --> 00:05:35,000 Speaker 1: with conviction. I fear he has to do the same 97 00:05:35,080 --> 00:05:38,760 Speaker 1: now on some of these issues which are really looming large. 98 00:05:39,400 --> 00:05:43,000 Speaker 1: The transgender issue for instance, that Donald Trump took on. 99 00:05:43,160 --> 00:05:45,920 Speaker 1: I mean, I'd like to see our politicians stand up 100 00:05:45,960 --> 00:05:50,440 Speaker 1: and say no to biological males playing in women's sport, 101 00:05:50,640 --> 00:05:53,800 Speaker 1: just blanket no. The public don't want it. And you 102 00:05:53,880 --> 00:05:57,000 Speaker 1: know that if Peter Dutton took a really strong stand 103 00:05:57,000 --> 00:05:59,120 Speaker 1: on this, he'd be on the right side of the 104 00:05:59,160 --> 00:06:01,680 Speaker 1: general public. You know what if we were to put 105 00:06:01,680 --> 00:06:04,800 Speaker 1: this to a referendum reata, you know that the result 106 00:06:04,800 --> 00:06:07,159 Speaker 1: would be overwhelming in favor of common sense. 107 00:06:07,520 --> 00:06:13,039 Speaker 3: Oh, the majority is a big majority in this space, 108 00:06:13,120 --> 00:06:18,360 Speaker 3: and yet they seem to be voiceless because the politicians, 109 00:06:18,440 --> 00:06:25,120 Speaker 3: the institutions, certainly the culture, celebrities and academia and even 110 00:06:25,200 --> 00:06:28,400 Speaker 3: sporting bodies have all gone down on one side, on 111 00:06:28,440 --> 00:06:33,120 Speaker 3: the activist side, and the overwhelming majority are wondering. 112 00:06:32,920 --> 00:06:33,800 Speaker 2: Who voted for this. 113 00:06:34,279 --> 00:06:36,960 Speaker 3: Now, let's go to the White House where President Joe 114 00:06:37,000 --> 00:06:42,280 Speaker 3: Biden hosted President elect Donald Trump. And despite calling Donald 115 00:06:42,320 --> 00:06:46,160 Speaker 3: Trump a threat to democracy, a fascist, a white supremacist, 116 00:06:46,240 --> 00:06:50,039 Speaker 3: a Nazi, and trying to have him struck off the ballot, 117 00:06:50,120 --> 00:06:54,159 Speaker 3: trying to put him in prison, today they were all 118 00:06:54,200 --> 00:06:56,160 Speaker 3: smiles and kindness. 119 00:06:56,560 --> 00:06:58,560 Speaker 2: Biden was very conciliatory. 120 00:06:58,600 --> 00:07:02,120 Speaker 3: Indeed, we can make sure you're coming. 121 00:07:01,880 --> 00:07:02,799 Speaker 6: In which you need. 122 00:07:03,360 --> 00:07:05,359 Speaker 4: I'm going to get a chance to cross today. 123 00:07:05,400 --> 00:07:05,800 Speaker 7: It's good. 124 00:07:06,440 --> 00:07:09,560 Speaker 8: Welcome Gina, thank you very much. 125 00:07:09,640 --> 00:07:15,000 Speaker 9: And politics is tough, and it's many cases not a 126 00:07:15,080 --> 00:07:16,200 Speaker 9: very nice world. 127 00:07:16,280 --> 00:07:18,800 Speaker 8: But it is a nice world today and they appreciate 128 00:07:18,960 --> 00:07:19,360 Speaker 8: very much. 129 00:07:20,040 --> 00:07:20,280 Speaker 5: Oh. 130 00:07:20,520 --> 00:07:24,800 Speaker 3: Nick Milania refused to be a part of this get together, 131 00:07:25,520 --> 00:07:26,680 Speaker 3: but Donald. 132 00:07:26,360 --> 00:07:28,600 Speaker 2: Trump seems to be in a forgiving mood. 133 00:07:29,400 --> 00:07:32,000 Speaker 1: Yeah, I think it's a good thing because I think that, 134 00:07:32,120 --> 00:07:35,080 Speaker 1: you know, it's good for democracy that we've seen, we 135 00:07:35,120 --> 00:07:37,600 Speaker 1: are seen to be civil to one another at these times. 136 00:07:37,840 --> 00:07:40,760 Speaker 1: My question, though, Reta, is what is the carbon footprint 137 00:07:40,920 --> 00:07:45,960 Speaker 1: of that fireplace at the back roaring with flames? You know, 138 00:07:46,160 --> 00:07:48,880 Speaker 1: has he actually thought about that? But it looks very nice. 139 00:07:48,960 --> 00:07:50,720 Speaker 1: I think Donald Trump will be very much at home. 140 00:07:50,760 --> 00:07:53,800 Speaker 1: He knows the place. I think you'd just be hoping that, 141 00:07:54,200 --> 00:07:56,119 Speaker 1: you know, there's not too many little bits of blue 142 00:07:56,160 --> 00:07:58,080 Speaker 1: tack left on the wall or whatever you do when 143 00:07:58,080 --> 00:07:59,120 Speaker 1: you move out of somewhere. 144 00:08:01,600 --> 00:08:06,000 Speaker 3: Now NIKA climate protest involving a blockade of the Port 145 00:08:06,120 --> 00:08:09,960 Speaker 3: of Newcastle, the largest coal port in the world, has 146 00:08:10,000 --> 00:08:14,400 Speaker 3: been given the green light by the Newcastle Council in 147 00:08:14,520 --> 00:08:19,120 Speaker 3: contravention of the Supreme Court's ban on the protest. Now 148 00:08:19,120 --> 00:08:22,239 Speaker 3: we've got the new South Wales Police Minister Yasmin Catley. 149 00:08:23,080 --> 00:08:25,320 Speaker 3: She seems to be all over the shop on this issue. 150 00:08:25,360 --> 00:08:29,160 Speaker 3: She's come under five for giving contradictory statements. She told 151 00:08:29,320 --> 00:08:32,800 Speaker 3: NBA Newcastle on Monday that if they are peaceful and 152 00:08:32,840 --> 00:08:37,040 Speaker 3: they are not doing anything unlawful, then happy days, but 153 00:08:37,800 --> 00:08:40,280 Speaker 3: took a very different tone when she was speaking with 154 00:08:40,320 --> 00:08:45,000 Speaker 3: the Daily Telegraph on Wednesday, where she raised concerns about 155 00:08:45,040 --> 00:08:49,400 Speaker 3: the safety risks due to the anticipated large turnout. 156 00:08:49,640 --> 00:08:50,640 Speaker 2: What do you make of this? 157 00:08:51,760 --> 00:08:54,720 Speaker 3: If the Supreme Court has said this is unlawful, how 158 00:08:54,840 --> 00:08:56,320 Speaker 3: is this taking place. 159 00:08:57,640 --> 00:09:00,440 Speaker 1: Exactly? And why it is the Newcastle City councilor owing it. 160 00:09:01,320 --> 00:09:03,800 Speaker 1: Coal is the lifeblood of that city. That's what makes 161 00:09:03,840 --> 00:09:08,320 Speaker 1: that place so prosperous and vibrant. Coal getting coal to 162 00:09:08,360 --> 00:09:10,480 Speaker 1: the dock, getting it on ships and getting it out 163 00:09:10,520 --> 00:09:12,880 Speaker 1: as quick as possible to people who need it to 164 00:09:13,320 --> 00:09:17,120 Speaker 1: keep the lights on. That's what Newcastle does. And it's 165 00:09:17,160 --> 00:09:20,760 Speaker 1: extraordinary that the council is now trying to doing something 166 00:09:20,800 --> 00:09:25,240 Speaker 1: which will undoubtedly hinder that commercial operation and put people 167 00:09:25,240 --> 00:09:28,400 Speaker 1: at risk. I mean, councils are usually so fastidious about 168 00:09:28,440 --> 00:09:31,439 Speaker 1: health and safety rules, aren't they, But apparently in this case, 169 00:09:31,520 --> 00:09:34,000 Speaker 1: you know, it doesn't apply. It's okay to sit there 170 00:09:34,000 --> 00:09:38,400 Speaker 1: in a canoe while a great, big coal tanker bears 171 00:09:38,440 --> 00:09:42,440 Speaker 1: down on you in the Hunter. No, it makes no 172 00:09:42,480 --> 00:09:45,120 Speaker 1: sense from any point of view. 173 00:09:46,160 --> 00:09:47,840 Speaker 2: Nick Kata, thanks for your time tonight. 174 00:09:48,240 --> 00:09:48,600 Speaker 10: Thank you. 175 00:09:49,400 --> 00:09:53,800 Speaker 3: Joining me now is celebrity and royal commentator Kinsey Schofield. 176 00:09:53,880 --> 00:09:56,120 Speaker 2: Kinsey Let's hear from. 177 00:09:56,000 --> 00:09:59,800 Speaker 3: Actress Kathy Griffin, she's also a comic and a committed 178 00:10:00,559 --> 00:10:04,559 Speaker 3: sufferer who is not coping with reality. Here, she blames 179 00:10:04,920 --> 00:10:08,720 Speaker 3: Taylor Swift for contributing to Kamala's defeat. 180 00:10:09,160 --> 00:10:14,280 Speaker 11: Now we're paying the price, and freedom isn't free, and 181 00:10:14,320 --> 00:10:19,480 Speaker 11: we've been free, and technically we're still a democracy. To 182 00:10:19,520 --> 00:10:23,360 Speaker 11: be LGBT in America is not going to be a 183 00:10:23,400 --> 00:10:29,040 Speaker 11: safe thing anymore. So to be a woman in America 184 00:10:29,320 --> 00:10:32,520 Speaker 11: will be even less safe than it already is. I 185 00:10:32,600 --> 00:10:34,560 Speaker 11: know this will get me in trouble, but I really 186 00:10:34,600 --> 00:10:39,720 Speaker 11: really wish Taylor Swift had done an event with Vice 187 00:10:39,720 --> 00:10:40,559 Speaker 11: President Harris. 188 00:10:40,960 --> 00:10:42,079 Speaker 6: I just. 189 00:10:43,920 --> 00:10:50,040 Speaker 11: Did not realize how racist and misogynistic America still. 190 00:10:49,840 --> 00:10:53,240 Speaker 2: Is, Kinsey. They just don't get it, do they. 191 00:10:53,280 --> 00:10:56,120 Speaker 3: They want to blame racism, they want to blame sexism. 192 00:10:56,679 --> 00:10:57,440 Speaker 2: They think they. 193 00:10:57,320 --> 00:11:01,800 Speaker 3: Needed more celebrity endorsements. Taylor Swift identified as a childless 194 00:11:01,920 --> 00:11:05,920 Speaker 3: cat lady to endorse Kamala, and apparently even that wasn't 195 00:11:06,000 --> 00:11:07,840 Speaker 3: enough for Kathy Griffin. 196 00:11:08,760 --> 00:11:11,840 Speaker 12: Exactly, Taylor Swift had nothing to do with their failure. 197 00:11:11,960 --> 00:11:15,679 Speaker 12: It was the mismanagement of one billion dollars in Harris's 198 00:11:15,720 --> 00:11:20,239 Speaker 12: fundraising that would have been best used for collecting data, polling, consulting, 199 00:11:20,280 --> 00:11:23,280 Speaker 12: in cell phone outreach instead of putting Cardi b up 200 00:11:23,600 --> 00:11:26,360 Speaker 12: and erect and call her daddy sets. I think that 201 00:11:26,440 --> 00:11:29,920 Speaker 12: the adults left the room and brat Summer had way 202 00:11:29,960 --> 00:11:33,000 Speaker 12: too much influence in this presidential campaign. You can't count 203 00:11:33,000 --> 00:11:35,439 Speaker 12: on Taylor Swift to win an election for you. She's 204 00:11:35,520 --> 00:11:38,480 Speaker 12: backed more losers now than winners. 205 00:11:40,679 --> 00:11:43,680 Speaker 3: Well, normally she's dating them, she's not endorsing them. But 206 00:11:44,160 --> 00:11:46,520 Speaker 3: she does have a terrible record when it comes to 207 00:11:46,520 --> 00:11:50,480 Speaker 3: political endorsements. Whether she did get involved some years ago 208 00:11:50,720 --> 00:11:54,280 Speaker 3: with a couple of crucial races in her home state 209 00:11:54,320 --> 00:11:57,560 Speaker 3: of Tennessee and had no impact, or if she had 210 00:11:57,600 --> 00:12:00,679 Speaker 3: an impact, it was negligible because they want with massive 211 00:12:00,720 --> 00:12:02,239 Speaker 3: margins her opponents. 212 00:12:03,080 --> 00:12:04,560 Speaker 2: Let's talk about Prince Harry. 213 00:12:04,600 --> 00:12:08,800 Speaker 3: He's earned himself another participation trophy, this time is being 214 00:12:08,840 --> 00:12:13,840 Speaker 3: honored by Time magazine in their Time one hundred Climate lists. 215 00:12:14,200 --> 00:12:19,479 Speaker 3: This is for founding Travelists, a nonprofit that provides travelers 216 00:12:19,520 --> 00:12:22,720 Speaker 3: with emissions data to help them book a vacation with 217 00:12:22,800 --> 00:12:25,800 Speaker 3: the lowest environmental impact possible. 218 00:12:27,440 --> 00:12:29,200 Speaker 2: Kinsey, he does this. 219 00:12:29,840 --> 00:12:32,559 Speaker 3: Whilst he takes private jets everywhere. 220 00:12:33,480 --> 00:12:35,720 Speaker 12: I mean, that's a great point and I also would 221 00:12:35,800 --> 00:12:37,800 Speaker 12: ask him by the only person that sees the irony 222 00:12:37,840 --> 00:12:40,640 Speaker 12: and a man owning a vacation property in an entirely 223 00:12:40,679 --> 00:12:44,600 Speaker 12: different country being crowned an influential leader in climate action. 224 00:12:45,640 --> 00:12:48,480 Speaker 12: You know, I know how you can reduce her travel impact. 225 00:12:48,600 --> 00:12:51,200 Speaker 12: Don't buy a beach house in Portugal. It's as simple 226 00:12:51,240 --> 00:12:51,480 Speaker 12: as that. 227 00:12:54,080 --> 00:12:57,360 Speaker 3: Well, yeah, you live in California. Do you really need a. 228 00:12:57,320 --> 00:12:59,960 Speaker 2: Beach house in Portugal? That is a good question. 229 00:13:00,000 --> 00:13:03,640 Speaker 3: I remember a few years ago they copped heat because 230 00:13:04,080 --> 00:13:06,840 Speaker 3: Elton John had let them his private jet and they 231 00:13:06,880 --> 00:13:12,800 Speaker 3: were using that too with around Europe. Just massive, massive hypocrites. 232 00:13:12,880 --> 00:13:17,280 Speaker 3: Him and Megan both Drew Barrymore. She's an interesting one 233 00:13:17,400 --> 00:13:20,440 Speaker 3: child star became a big actress. Now she's a talk 234 00:13:20,480 --> 00:13:24,320 Speaker 3: show host, and she can be a little bit too touchy, phelly. 235 00:13:24,440 --> 00:13:26,880 Speaker 3: She got a little bit too close and personal for 236 00:13:27,440 --> 00:13:32,000 Speaker 3: Martha Stewart's liking. Watch as Martha pushes the former actress 237 00:13:32,000 --> 00:13:36,040 Speaker 3: away after there was a bit too much caressing and stroking. 238 00:13:36,559 --> 00:13:38,600 Speaker 8: What makes you soft and gooey, though? 239 00:13:38,840 --> 00:13:41,120 Speaker 10: What makes me soft and soft and gooey? 240 00:13:42,360 --> 00:13:44,800 Speaker 12: Yeah, soft and gooey treatments. 241 00:13:44,840 --> 00:13:49,600 Speaker 13: When you're treated like a leading someone comes in. 242 00:13:49,520 --> 00:13:52,320 Speaker 2: And you're the wrong gender. I know. 243 00:13:55,480 --> 00:13:59,520 Speaker 3: I think Drew got off lightly there. She's just got 244 00:13:59,520 --> 00:14:02,760 Speaker 3: no concept of personal space. She does this with every 245 00:14:02,840 --> 00:14:04,040 Speaker 3: second guest. 246 00:14:04,559 --> 00:14:08,120 Speaker 12: Hopefully she starts to recognize some of these headlines and say, 247 00:14:08,160 --> 00:14:10,240 Speaker 12: I got to pull it back because it is getting 248 00:14:10,640 --> 00:14:13,160 Speaker 12: beyond weird. And I think that this is not the 249 00:14:13,200 --> 00:14:16,440 Speaker 12: first time we've had this discussion. So she's not evolving, 250 00:14:16,480 --> 00:14:17,560 Speaker 12: it's just getting weirder. 251 00:14:20,200 --> 00:14:22,520 Speaker 3: And let's not forget she was the one who had 252 00:14:22,560 --> 00:14:26,560 Speaker 3: Kamala on her couch and she called her Mamala and said, 253 00:14:26,560 --> 00:14:28,440 Speaker 3: you need to be the nation's mom. 254 00:14:28,600 --> 00:14:33,360 Speaker 2: Remember that She'll never let that one down. Before you go. 255 00:14:33,560 --> 00:14:39,040 Speaker 3: Kim Kardashian has talked about how she feels alone raising 256 00:14:39,080 --> 00:14:43,080 Speaker 3: her four children, the four children she has with Kanie West. 257 00:14:43,440 --> 00:14:47,280 Speaker 13: Let's have a listen, feeling like sometimes you're in this alone, 258 00:14:47,760 --> 00:14:50,440 Speaker 13: even though we have great support systems and we have 259 00:14:50,560 --> 00:14:54,280 Speaker 13: people around us. But sometimes in the middle of the night, 260 00:14:54,440 --> 00:14:57,440 Speaker 13: when they're all sleeping in your bed, kicking you and 261 00:14:57,480 --> 00:15:00,440 Speaker 13: crying and waking up like it is. You know, It's 262 00:15:00,440 --> 00:15:02,240 Speaker 13: not something that I talk about a lot because I 263 00:15:02,280 --> 00:15:04,600 Speaker 13: feel like there is always a lot of judgment. 264 00:15:04,880 --> 00:15:06,200 Speaker 2: Well, there is. 265 00:15:06,160 --> 00:15:10,320 Speaker 3: A lot of judgment, Kim, because you're pretty much a billionaire. 266 00:15:10,520 --> 00:15:16,480 Speaker 3: You've got a massive stuff to be complaining about stuff 267 00:15:16,680 --> 00:15:17,120 Speaker 3: like this. 268 00:15:18,080 --> 00:15:19,520 Speaker 2: It's a bit teny, isn't it. 269 00:15:20,480 --> 00:15:25,400 Speaker 12: Yeah, an estimated net worth of one point seven billion dollars. 270 00:15:25,480 --> 00:15:27,760 Speaker 12: Last year, she announced that she has a man wow 271 00:15:27,840 --> 00:15:30,800 Speaker 12: in her house. She said she hired a man because 272 00:15:30,840 --> 00:15:33,520 Speaker 12: she wanted a male influence in the house. Girl, you've 273 00:15:33,560 --> 00:15:36,200 Speaker 12: been married three times, what stop in number four? Maybe 274 00:15:36,240 --> 00:15:38,520 Speaker 12: if you wore more than duct tape across your nipples 275 00:15:38,520 --> 00:15:41,760 Speaker 12: in a crucifix, you would attract a godly man who 276 00:15:41,800 --> 00:15:43,960 Speaker 12: would have a positive influence on your children. 277 00:15:44,040 --> 00:15:45,000 Speaker 11: I don't want to hear it, Kim. 278 00:15:45,080 --> 00:15:51,240 Speaker 3: K I am with you can hear judgment, but I 279 00:15:51,320 --> 00:15:55,760 Speaker 3: can't disagree. Kinsisko Field, you nailed it yet again. Thanks 280 00:15:55,800 --> 00:15:59,840 Speaker 3: for your time. Tonight still to come a special edition 281 00:16:00,160 --> 00:16:03,920 Speaker 3: of Lefties Losing It, Plus we'll take a close look 282 00:16:03,920 --> 00:16:07,600 Speaker 3: at some of Donald Trump's most controversial cabinet picks. 283 00:16:07,680 --> 00:16:09,840 Speaker 2: Coach and Gator John's NX. 284 00:16:18,960 --> 00:16:22,080 Speaker 3: Welcome back, and now it's time for a special edition 285 00:16:22,320 --> 00:16:25,840 Speaker 3: of leftis Losing It. Let us take a moment and 286 00:16:26,120 --> 00:16:29,920 Speaker 3: marvel in awe at President Elect Donald Trump's top five 287 00:16:30,000 --> 00:16:33,720 Speaker 3: selections so far for his cabinet and other high ranking 288 00:16:33,760 --> 00:16:38,120 Speaker 3: administration positions. Coming in at number five is CIA director 289 00:16:38,320 --> 00:16:42,680 Speaker 3: John Ratcliffe. And this selection matters folks. For more than 290 00:16:42,680 --> 00:16:48,400 Speaker 3: a decade, we've seen these institutions become weaponized to attack conservatives, 291 00:16:48,560 --> 00:16:49,720 Speaker 3: not just Donald Trump. 292 00:16:50,160 --> 00:16:52,720 Speaker 2: And John Ratcliffe's performance. 293 00:16:52,160 --> 00:16:56,920 Speaker 3: In exposing and destroying former FBI Special Agent Peter Struck 294 00:16:57,160 --> 00:16:58,800 Speaker 3: was a thing of beauty. 295 00:16:59,120 --> 00:17:02,840 Speaker 14: The approximately fifty thousand text messages that I've seen with 296 00:17:02,880 --> 00:17:06,359 Speaker 14: your personal beliefs like f Trump, stopped Trump, impeach Trump. 297 00:17:06,760 --> 00:17:08,679 Speaker 14: Go ahead and confirm on the record that none of 298 00:17:08,680 --> 00:17:11,880 Speaker 14: that occurred on an official FBI device or on official 299 00:17:12,040 --> 00:17:13,880 Speaker 14: FBI time. Go ahead and do that, sir. 300 00:17:13,920 --> 00:17:15,320 Speaker 1: No, they did, many of them did it. 301 00:17:15,400 --> 00:17:16,800 Speaker 15: Oh, they did, agent structor. 302 00:17:16,840 --> 00:17:19,639 Speaker 14: You're starting to understand why some folks out there don't 303 00:17:19,640 --> 00:17:23,120 Speaker 14: believe a word you say, and why it's especially troubling 304 00:17:23,160 --> 00:17:25,359 Speaker 14: that you, of all people, are at the center of 305 00:17:25,400 --> 00:17:29,680 Speaker 14: the three highest profile investigations in recent times that involved 306 00:17:29,720 --> 00:17:32,760 Speaker 14: President Trump, and that you were in charge of an 307 00:17:32,800 --> 00:17:38,560 Speaker 14: investigation investigating gathering evidence against Donald Trump, a subject that 308 00:17:38,640 --> 00:17:41,520 Speaker 14: you hated, that you wanted to f him to stop him, 309 00:17:41,760 --> 00:17:44,760 Speaker 14: to impeach him, and do you see why that might 310 00:17:44,880 --> 00:17:50,520 Speaker 14: call into question everything you've touched on all of those investigations. 311 00:17:50,680 --> 00:17:54,040 Speaker 3: At number four, we have possibly the selection that has 312 00:17:54,400 --> 00:17:58,200 Speaker 3: had the biggest reaction, the biggest freak out from the left, 313 00:17:58,240 --> 00:18:01,400 Speaker 3: and that's Matt Gaetz as Attorney general. 314 00:18:01,560 --> 00:18:04,080 Speaker 2: Here is some of his finest work. 315 00:18:04,320 --> 00:18:08,200 Speaker 15: But why is it that the women with the least 316 00:18:08,280 --> 00:18:11,240 Speaker 15: likelihood of getting pregnant are the ones most worried about 317 00:18:11,280 --> 00:18:16,400 Speaker 15: having abortions? Nobody wants to impregnant you if you look 318 00:18:16,600 --> 00:18:17,280 Speaker 15: like a thumb? 319 00:18:19,520 --> 00:18:21,320 Speaker 12: Is it seemed to see that beast top of your comments, 320 00:18:21,359 --> 00:18:25,000 Speaker 12: you're suggesting that these women at these abortion rallies. 321 00:18:24,560 --> 00:18:25,840 Speaker 2: Are ugly and overweeen? 322 00:18:26,000 --> 00:18:28,399 Speaker 16: Yes, what do you see to people who think that 323 00:18:28,400 --> 00:18:29,600 Speaker 16: those comments are offensive? 324 00:18:30,080 --> 00:18:30,640 Speaker 17: Be offended? 325 00:18:31,760 --> 00:18:34,000 Speaker 2: Yes, we're going to enjoy the next few years. 326 00:18:34,400 --> 00:18:37,640 Speaker 3: And after what the FBI and Department of Justice did 327 00:18:37,680 --> 00:18:42,680 Speaker 3: in trying to frame and defane Gates personally with nonsense allegations, 328 00:18:42,720 --> 00:18:43,560 Speaker 3: I could not think. 329 00:18:43,359 --> 00:18:46,000 Speaker 2: Of a better person to go scorched earth. 330 00:18:46,600 --> 00:18:49,880 Speaker 3: The American people voted for a reckoning, and a reckoning 331 00:18:49,920 --> 00:18:53,480 Speaker 3: they shall have now to the number three best Trump 332 00:18:53,520 --> 00:18:57,040 Speaker 3: selection thus far, and it's a woman who not long 333 00:18:57,080 --> 00:19:00,359 Speaker 3: long ago, was running to be president as a Democrat, 334 00:19:00,680 --> 00:19:04,160 Speaker 3: but the Democrats didn't want her. She was too honest, 335 00:19:04,440 --> 00:19:08,560 Speaker 3: too normal, too patriotic, and let's not forget how she 336 00:19:08,840 --> 00:19:11,320 Speaker 3: ended Kamala's first run to be president. 337 00:19:11,560 --> 00:19:14,040 Speaker 18: She put over fifteen hundred people in jail for marijuana 338 00:19:14,119 --> 00:19:16,320 Speaker 18: violations and then laughed about it when she was asked 339 00:19:16,359 --> 00:19:18,560 Speaker 18: if she ever smoked marijuana. 340 00:19:18,680 --> 00:19:19,840 Speaker 2: She blocked evidence. 341 00:19:20,920 --> 00:19:24,600 Speaker 18: She blocked evidence that would have freed an innocent man 342 00:19:24,640 --> 00:19:27,920 Speaker 18: from death row until the courts forced her to do so. 343 00:19:27,960 --> 00:19:30,880 Speaker 18: She kept people in prison beyond their sentences to use 344 00:19:30,920 --> 00:19:33,520 Speaker 18: them as cheap labor for the state of California. 345 00:19:33,560 --> 00:19:35,520 Speaker 15: And she fought to keep. 346 00:19:35,440 --> 00:19:39,199 Speaker 18: Cash fail system in place that impacts poor people in 347 00:19:39,240 --> 00:19:40,400 Speaker 18: the worst kind of way. 348 00:19:40,640 --> 00:19:44,760 Speaker 3: Kamala never recovered. Now to the number two selection. Another 349 00:19:44,880 --> 00:19:47,920 Speaker 3: pick that had the Left losing it and be clowning 350 00:19:48,040 --> 00:19:50,640 Speaker 3: themselves by slamming a man. 351 00:19:50,520 --> 00:19:52,359 Speaker 2: With superb credentials. 352 00:19:52,400 --> 00:19:57,880 Speaker 3: It's Trump's Defense Secretary Peter Hexeth, first to the meltdown. 353 00:19:58,600 --> 00:20:03,840 Speaker 4: He also pinned you ready, co host of Fox and 354 00:20:03,920 --> 00:20:06,600 Speaker 4: Friends Weekend, not even like that. 355 00:20:08,720 --> 00:20:11,040 Speaker 2: Weekend, Pete. 356 00:20:12,240 --> 00:20:20,159 Speaker 4: Heggs, Okay, Pete Hexceth, and he's picked him to be 357 00:20:20,480 --> 00:20:25,640 Speaker 4: US Secretary of Defense. Now MAGA supporters and detractors are 358 00:20:25,680 --> 00:20:29,760 Speaker 4: trying to figure out what because of this pick. 359 00:20:30,119 --> 00:20:33,760 Speaker 3: Not a single MEGA supporter is trying to figure it out. 360 00:20:34,440 --> 00:20:38,120 Speaker 2: You are projecting again. Whoopy, and learn to pronounce his name. 361 00:20:38,200 --> 00:20:41,520 Speaker 3: He rates better than you, even on the weekend, and 362 00:20:41,560 --> 00:20:45,120 Speaker 3: we can all say your made up name Karen Yes, whoops, 363 00:20:45,600 --> 00:20:48,320 Speaker 3: real name is Karen la Johnson. 364 00:20:48,680 --> 00:20:49,560 Speaker 2: But I digress. 365 00:20:50,160 --> 00:20:53,600 Speaker 3: Let's get back to her bad mouthing a veteran with 366 00:20:53,720 --> 00:20:55,200 Speaker 3: an exemplary record. 367 00:20:55,560 --> 00:20:59,040 Speaker 4: Is this the guy who's qualified to make decisions about 368 00:20:59,080 --> 00:21:01,960 Speaker 4: the most powerful military in the world, who clearly does 369 00:21:02,040 --> 00:21:04,080 Speaker 4: not know anything about the military. 370 00:21:04,080 --> 00:21:05,720 Speaker 2: You know you're consulted. 371 00:21:05,800 --> 00:21:09,280 Speaker 11: I'm warning TV host, and I've been here the longest. 372 00:21:09,400 --> 00:21:11,879 Speaker 4: Yeah, where's my ambassadorship to Italy? 373 00:21:12,000 --> 00:21:12,440 Speaker 5: Donald? 374 00:21:12,920 --> 00:21:17,040 Speaker 3: Such miserable fools, and they weren't alone. Here is Democrat 375 00:21:17,080 --> 00:21:19,600 Speaker 3: Elizabeth Warren Pocahontas. 376 00:21:19,440 --> 00:21:20,160 Speaker 2: Having a go. 377 00:21:20,760 --> 00:21:24,560 Speaker 3: She wrote a Fox and Friends Weekend co host is 378 00:21:24,600 --> 00:21:27,520 Speaker 3: not qualified to be the Secretary of Defense. I lead 379 00:21:27,600 --> 00:21:31,080 Speaker 3: the Senate Military Personnel Panel. All three of my brothers 380 00:21:31,160 --> 00:21:35,080 Speaker 3: served in uniform. I respect every one of our service members. 381 00:21:35,720 --> 00:21:38,920 Speaker 3: Then you need to apologize to peithe Hexseth, who is 382 00:21:38,960 --> 00:21:42,080 Speaker 3: not only a veteran with twenty years of service, but 383 00:21:42,200 --> 00:21:45,800 Speaker 3: a double Bronze Star recipient, and he's also an Ivy 384 00:21:45,920 --> 00:21:52,119 Speaker 3: League educated at Harvard Princeton. The folks who were celebrating 385 00:21:52,240 --> 00:21:56,960 Speaker 3: these appointments have a problem with Peithe Hexseth because he 386 00:21:57,080 --> 00:22:00,560 Speaker 3: transitioned to the media. Would they prefer if he transition 387 00:22:00,720 --> 00:22:04,639 Speaker 3: to a they then I'm sure pet Hexeth won't be 388 00:22:04,920 --> 00:22:08,800 Speaker 3: okay with Chinese spy balloons floating across the country or 389 00:22:09,200 --> 00:22:13,280 Speaker 3: the boch withdrawal of Afghanistan and then the killing of 390 00:22:13,320 --> 00:22:17,919 Speaker 3: an innocent Afghani family in a revenge operation. He is 391 00:22:18,119 --> 00:22:19,760 Speaker 3: ready to clean up the mess. 392 00:22:19,920 --> 00:22:22,399 Speaker 16: Well, first of all, you gotta fire you know, you 393 00:22:22,400 --> 00:22:23,920 Speaker 16: got to fire the Chairman and Joint chiefs, and you 394 00:22:23,920 --> 00:22:25,560 Speaker 16: gotta fire this. I mean, obviously gonna bring in a 395 00:22:25,600 --> 00:22:29,200 Speaker 16: new Secretary Defense. But any general that was involved, general, admiral, whatever, 396 00:22:29,240 --> 00:22:32,320 Speaker 16: that was involved in any of the DEI will it's. 397 00:22:32,200 --> 00:22:32,600 Speaker 7: Got to go. 398 00:22:33,560 --> 00:22:36,560 Speaker 16: Either you're in for war fighting that and that's it. 399 00:22:36,840 --> 00:22:39,760 Speaker 16: That's the only litmus test we care about. Uh, you've 400 00:22:39,760 --> 00:22:42,000 Speaker 16: got to get DEI and cert out of military academy 401 00:22:42,040 --> 00:22:44,440 Speaker 16: so you're not training young officers to be baptized in 402 00:22:44,480 --> 00:22:46,560 Speaker 16: this type of thinking, and you have to re establish 403 00:22:46,640 --> 00:22:50,360 Speaker 16: that trusty by putting in no nonsense warfighters in those 404 00:22:50,400 --> 00:22:53,520 Speaker 16: positions who aren't going to cater to the socially correct garbage. 405 00:22:53,600 --> 00:22:56,800 Speaker 3: And the number one selection thus far for the Trump 406 00:22:56,880 --> 00:23:01,040 Speaker 3: team are the heads of the Department of Government Efficiency, 407 00:23:01,200 --> 00:23:04,760 Speaker 3: the smartest men in any room, the duo of Vivek 408 00:23:04,880 --> 00:23:06,680 Speaker 3: Ramaswami and Elon Musk. 409 00:23:07,160 --> 00:23:10,280 Speaker 2: This is what we can expect. Here is Vivek last year. 410 00:23:10,359 --> 00:23:13,760 Speaker 17: And large scale mass layoffs are absolutely what we will 411 00:23:13,800 --> 00:23:18,000 Speaker 17: bring to the DC bureaucracy, both because it is necessary 412 00:23:18,280 --> 00:23:21,359 Speaker 17: and it is sanctioned by the law of the United 413 00:23:21,359 --> 00:23:22,720 Speaker 17: States of America. 414 00:23:22,800 --> 00:23:25,640 Speaker 3: And we all know Elon's uncompromising star. 415 00:23:25,800 --> 00:23:26,800 Speaker 2: By now, there was. 416 00:23:26,840 --> 00:23:27,720 Speaker 8: All of the criticism. 417 00:23:27,880 --> 00:23:30,240 Speaker 1: There was advertisers leaving. We talked to Bob Biden. 418 00:23:32,000 --> 00:23:35,600 Speaker 19: You don't advertise, you don't want them to advertise. 419 00:23:35,640 --> 00:23:37,200 Speaker 3: No, what do you mean. 420 00:23:39,680 --> 00:23:42,400 Speaker 19: If somebody can try to blackmail me with advertising, blackmailing 421 00:23:42,480 --> 00:23:53,640 Speaker 19: with money yourself, but go yourself? Is that clear? 422 00:23:55,040 --> 00:23:57,440 Speaker 2: I hope it is joining me now? 423 00:23:57,560 --> 00:24:01,280 Speaker 3: Is Sky News contributor Kosher Gaida. Let's discuss some of 424 00:24:01,320 --> 00:24:04,800 Speaker 3: these Trump selections. It's clear his second term will be 425 00:24:05,359 --> 00:24:09,040 Speaker 3: markedly different from the first. It's clear his transition team 426 00:24:09,080 --> 00:24:12,480 Speaker 3: has been working for months now to put this team together. 427 00:24:12,600 --> 00:24:18,440 Speaker 3: The selection of Radcliffe for CIA director is significant. The lawfare, 428 00:24:18,560 --> 00:24:22,399 Speaker 3: the weaponization of the CIA is a focus for Trump's space, 429 00:24:22,480 --> 00:24:27,000 Speaker 3: and so to the selection of Matt Gates as a 430 00:24:27,280 --> 00:24:31,639 Speaker 3: g Kosher this is this is exciting times for the 431 00:24:31,680 --> 00:24:32,240 Speaker 3: Trump base. 432 00:24:32,760 --> 00:24:32,920 Speaker 2: Now. 433 00:24:32,960 --> 00:24:36,600 Speaker 20: The biggest criticism of Trump in the first term was personnel, 434 00:24:36,760 --> 00:24:39,000 Speaker 20: and he fell into him. He wanted to dream the swamp. 435 00:24:39,040 --> 00:24:41,600 Speaker 20: He fell into the tried and tested model of Washington 436 00:24:41,640 --> 00:24:44,440 Speaker 20: types because he was told and Warren they'll never get 437 00:24:44,440 --> 00:24:46,720 Speaker 20: confirmation in the Senate and you know, work with them, 438 00:24:47,000 --> 00:24:49,920 Speaker 20: and personnel is policy. So a lot of his supporters 439 00:24:49,960 --> 00:24:51,919 Speaker 20: are really waiting to see how is this one going 440 00:24:51,960 --> 00:24:54,240 Speaker 20: to be different. He's been sending shock weeds in the 441 00:24:54,320 --> 00:24:57,639 Speaker 20: last forty eight hours through the Swamp and others. And 442 00:24:57,680 --> 00:25:00,560 Speaker 20: what's interesting is the picks that he's made they do 443 00:25:00,640 --> 00:25:03,160 Speaker 20: have to go through Centate confirmation. So we'll see how 444 00:25:03,160 --> 00:25:05,119 Speaker 20: that pleas out because there are still is that civil 445 00:25:05,160 --> 00:25:08,760 Speaker 20: war in the GEOP controlled Senate, Yes, but they're all 446 00:25:08,880 --> 00:25:11,720 Speaker 20: very young in their forties, pretty much all of them. 447 00:25:11,760 --> 00:25:12,800 Speaker 2: They're populists. 448 00:25:12,840 --> 00:25:16,960 Speaker 20: They subscribe to the MAGA America First philosophy on everything 449 00:25:16,960 --> 00:25:19,119 Speaker 20: from economics to foreign policy and the rest of it. 450 00:25:19,240 --> 00:25:20,520 Speaker 20: So interesting times. 451 00:25:20,520 --> 00:25:21,000 Speaker 19: Buckle up. 452 00:25:21,160 --> 00:25:24,160 Speaker 3: And this is what a lot of the commentators don't understand. 453 00:25:24,320 --> 00:25:27,040 Speaker 3: They keep talking about Trump's just picking people who are 454 00:25:27,080 --> 00:25:29,919 Speaker 3: going to be loyal to him. No, it's loyal to 455 00:25:30,000 --> 00:25:34,119 Speaker 3: the agenda which the American people voted for. So his base, 456 00:25:34,320 --> 00:25:37,800 Speaker 3: his supporters want that. They don't want people in there 457 00:25:37,800 --> 00:25:40,000 Speaker 3: who are going to be obstructing, who are going to 458 00:25:40,040 --> 00:25:44,720 Speaker 3: be Republicans in name only. That's precisely what they have 459 00:25:44,880 --> 00:25:49,840 Speaker 3: voted against. And this tweet from jd Vance just on 460 00:25:49,880 --> 00:25:53,560 Speaker 3: that Matt Gates selection is very interesting. He wrote, the 461 00:25:53,640 --> 00:25:56,560 Speaker 3: main issue with Matt Gates is that he used his 462 00:25:56,680 --> 00:26:00,840 Speaker 3: office to prosecute his political opponents and authorize federal agents 463 00:26:00,840 --> 00:26:04,160 Speaker 3: to harass parents who were peacefully protesting at. 464 00:26:04,040 --> 00:26:05,360 Speaker 2: School board meetings. 465 00:26:05,960 --> 00:26:10,600 Speaker 3: Oh wait, that's actually Mary Garland, the current Attorney generals. 466 00:26:10,760 --> 00:26:14,280 Speaker 3: And that's a point that again, the bulk of the 467 00:26:14,359 --> 00:26:17,920 Speaker 3: media don't seem to understand. They're just so outraged by 468 00:26:17,920 --> 00:26:22,800 Speaker 3: these selections. They don't understand what's led us to this point. 469 00:26:22,920 --> 00:26:25,119 Speaker 20: Yes, that was a shot across the bow to the 470 00:26:25,160 --> 00:26:28,280 Speaker 20: Senate newly elected Senate Majority Leader Thune, and there was 471 00:26:28,320 --> 00:26:30,879 Speaker 20: a bit of infighting going on whether Rick Scott, the 472 00:26:30,960 --> 00:26:33,199 Speaker 20: more populist Trump loyalists, would make it or Thuned it. 473 00:26:33,320 --> 00:26:35,679 Speaker 20: Thune is of the old guard, but he had to 474 00:26:35,720 --> 00:26:37,959 Speaker 20: fight to get that because he was challenged. And then 475 00:26:37,960 --> 00:26:39,639 Speaker 20: he came out and put a statement out that I 476 00:26:39,680 --> 00:26:42,680 Speaker 20: will do everything I can to confirm all of Trump's picks. 477 00:26:42,720 --> 00:26:45,440 Speaker 20: And then right after that Trump started dropping these bombshells 478 00:26:45,440 --> 00:26:47,600 Speaker 20: like Matt Gates. So I think what JD's doing there 479 00:26:47,680 --> 00:26:50,159 Speaker 20: is reminding him that you know, you did commit to that, 480 00:26:50,359 --> 00:26:53,560 Speaker 20: and if you were so quick to nominate people or 481 00:26:53,600 --> 00:26:57,679 Speaker 20: confirm people like Merrick Garland, let's not clutch our pearls 482 00:26:57,680 --> 00:26:59,240 Speaker 20: for somebody like Matt Gates. 483 00:26:59,440 --> 00:27:02,919 Speaker 3: Absolutely and on that blob because it is certainly a 484 00:27:02,960 --> 00:27:05,600 Speaker 3: blow for the Trump team not to get the Senate 485 00:27:05,680 --> 00:27:10,400 Speaker 3: leader that wanted, Rick Scott. He's on site, he's going 486 00:27:10,480 --> 00:27:15,120 Speaker 3: to deliver their agenda. The man they have now tell 487 00:27:15,160 --> 00:27:17,160 Speaker 3: me a little bit more about him. He is very 488 00:27:17,200 --> 00:27:20,199 Speaker 3: much mistrusted. And it was a closed ballot, and I 489 00:27:20,240 --> 00:27:23,520 Speaker 3: think that is a problem in itself. Why isn't there 490 00:27:23,600 --> 00:27:28,640 Speaker 3: transparency so people know who the person they elected voted for. 491 00:27:28,840 --> 00:27:30,640 Speaker 20: Yes, I think transparency is going to be a big 492 00:27:30,680 --> 00:27:34,600 Speaker 20: theme coming in from declassification to pushing more open and 493 00:27:34,600 --> 00:27:38,440 Speaker 20: out in the public view votes because people are fed 494 00:27:38,520 --> 00:27:42,359 Speaker 20: up with the smoky backroom deals that happened. Now. Senator 495 00:27:42,400 --> 00:27:47,000 Speaker 20: Thune's from South Dakota, Ruby red state. But it's been funny. 496 00:27:47,080 --> 00:27:49,480 Speaker 20: People during in the lead up to this were recirculating 497 00:27:49,480 --> 00:27:51,959 Speaker 20: tweets of his back from sixteen another, so he had 498 00:27:52,000 --> 00:27:55,320 Speaker 20: a lot of anti Trump tweets out there. He sort 499 00:27:55,320 --> 00:27:58,000 Speaker 20: of was a protege of Mitch McConnell, who the Trump 500 00:27:58,160 --> 00:28:00,760 Speaker 20: faction does not particularly care for. So you know he 501 00:28:01,040 --> 00:28:03,879 Speaker 20: he comes with some baggage to the Trump proud, but 502 00:28:04,160 --> 00:28:06,600 Speaker 20: at this point in time, he and the establishment Republicans 503 00:28:06,600 --> 00:28:10,000 Speaker 20: are on the back foot. Trump has a spectrum of 504 00:28:10,040 --> 00:28:13,600 Speaker 20: dominance right now and he's going to use that absolutely. 505 00:28:13,840 --> 00:28:18,200 Speaker 3: Now, let's compare the Biden administration's borders are Kamarla Harris 506 00:28:18,640 --> 00:28:22,040 Speaker 3: with Trump's incoming borders are Tom Horman. 507 00:28:22,280 --> 00:28:24,440 Speaker 2: See if you can spot the subtle difference. 508 00:28:32,200 --> 00:28:35,000 Speaker 7: I got a message to the means of illegal areas 509 00:28:35,000 --> 00:28:37,960 Speaker 7: that Joe Biden's releasing our country and violation of federal law. 510 00:28:38,560 --> 00:28:40,000 Speaker 7: You better start packing now. 511 00:28:43,000 --> 00:28:45,120 Speaker 2: We are going to the border. We've been to the border. 512 00:28:45,360 --> 00:28:48,600 Speaker 2: So this whole, this whole, this whole thing about the border. 513 00:28:48,640 --> 00:28:51,240 Speaker 2: We've been to the border. We've been to the border. 514 00:28:51,280 --> 00:28:54,240 Speaker 2: You haven't been to the border, and I haven't been 515 00:28:54,280 --> 00:28:58,720 Speaker 2: to Europe. I don't understand the point that you're making. 516 00:28:58,800 --> 00:29:00,640 Speaker 7: I hear a lot of people saying the talk of 517 00:29:00,640 --> 00:29:06,400 Speaker 7: a mass deportation, it's racist, it's threatening to immigrant community. 518 00:29:07,440 --> 00:29:09,680 Speaker 7: It's not threatened to the immigrant community. It should be 519 00:29:09,680 --> 00:29:12,200 Speaker 7: threatening to the illegal immigrant community. 520 00:29:12,320 --> 00:29:15,000 Speaker 18: Is there a way to carry out mass deportation without 521 00:29:15,040 --> 00:29:18,120 Speaker 18: separating families of coursers? 522 00:29:20,160 --> 00:29:21,560 Speaker 7: Families can be deported together. 523 00:29:22,760 --> 00:29:26,840 Speaker 2: Yeah, support the whole family. Big difference there. 524 00:29:27,440 --> 00:29:30,800 Speaker 3: This was possibly the number one issue right up there 525 00:29:30,800 --> 00:29:34,440 Speaker 3: with the economy, if not bigger, and the base is 526 00:29:34,480 --> 00:29:37,640 Speaker 3: going to expect to see these deportations. It's going to 527 00:29:37,680 --> 00:29:40,840 Speaker 3: be a core promise. 528 00:29:40,480 --> 00:29:42,720 Speaker 20: That has to be fulfilled and it is going to 529 00:29:42,720 --> 00:29:45,000 Speaker 20: be met with opposition the likes of which we have 530 00:29:45,120 --> 00:29:49,040 Speaker 20: never seen still from including the Rhinos and the own party. 531 00:29:49,080 --> 00:29:51,760 Speaker 20: There's going to be rogue judges out there banning as 532 00:29:51,800 --> 00:29:55,720 Speaker 20: they did before issuing injunctions that affect the whole stage. 533 00:29:55,800 --> 00:29:58,080 Speaker 20: The media is going to be showing sob stories of 534 00:29:58,160 --> 00:30:01,040 Speaker 20: families being separated and all of that. So you need 535 00:30:01,080 --> 00:30:03,320 Speaker 20: somebody with a lot of spine and the stones to 536 00:30:03,680 --> 00:30:05,680 Speaker 20: push forward with that. Certainly Trump but all their way 537 00:30:05,720 --> 00:30:08,960 Speaker 20: down and Tim Horman seems to be that person. He 538 00:30:09,440 --> 00:30:12,000 Speaker 20: never pulls any punches. He was the ice director, so 539 00:30:12,040 --> 00:30:14,880 Speaker 20: he's been on the front lines literally seeing what has 540 00:30:14,920 --> 00:30:17,480 Speaker 20: been happening with the joke of the US southern border 541 00:30:17,520 --> 00:30:20,880 Speaker 20: that has become. So he will push ahead, but every 542 00:30:20,920 --> 00:30:22,040 Speaker 20: step of the way is still going to be a 543 00:30:22,080 --> 00:30:22,560 Speaker 20: fight on this. 544 00:30:23,160 --> 00:30:25,640 Speaker 3: Now the Democrats have really kicked an own goal and 545 00:30:25,840 --> 00:30:30,920 Speaker 3: attacking Pete Hegsath the attacking a veteran with a stellar record, 546 00:30:31,560 --> 00:30:34,920 Speaker 3: and to see the likes of Whoopie Goldberg and Elizabeth 547 00:30:34,960 --> 00:30:40,840 Speaker 3: Warren attack this man is a terrible look Kosher that 548 00:30:41,000 --> 00:30:44,280 Speaker 3: he is picking outsiders, He is picking people that you don't. 549 00:30:44,040 --> 00:30:45,000 Speaker 2: Expect to see. 550 00:30:45,040 --> 00:30:48,520 Speaker 3: But they're going to deliver his agenda, and that is 551 00:30:48,560 --> 00:30:49,400 Speaker 3: the whole game here. 552 00:30:50,000 --> 00:30:52,320 Speaker 20: They're been very disingenerous to Pete Hegseth because the thing 553 00:30:52,400 --> 00:30:54,120 Speaker 20: that they were trying to make go viral, and I 554 00:30:54,120 --> 00:30:57,240 Speaker 20: think they got ratioed is he's a Fox News weekend 555 00:30:57,320 --> 00:31:00,280 Speaker 20: co host. They were trying to diminish him. Us in 556 00:31:00,320 --> 00:31:03,680 Speaker 20: the media are only solely doing that. He has many 557 00:31:03,760 --> 00:31:06,600 Speaker 20: other things in his portfolio. He is an actual warrior 558 00:31:06,640 --> 00:31:09,080 Speaker 20: who served for twenty years in the US military to 559 00:31:09,520 --> 00:31:12,480 Speaker 20: active deployments in combat zones of Iraq and i Rhanistan. 560 00:31:12,880 --> 00:31:14,880 Speaker 20: We've moved away from this where in the past it 561 00:31:14,960 --> 00:31:17,800 Speaker 20: used to be actual warriors and soldiers commanded the army 562 00:31:17,840 --> 00:31:20,920 Speaker 20: and not people sitting behind chrishy desks in DC. He 563 00:31:21,040 --> 00:31:23,440 Speaker 20: ticks that box. And by the way, he also graduated 564 00:31:23,480 --> 00:31:26,680 Speaker 20: from Princeton and Harvard. For the credentialists who want to 565 00:31:26,720 --> 00:31:29,719 Speaker 20: mock his intelligence by diminishing him as just a weekend 566 00:31:29,720 --> 00:31:32,920 Speaker 20: co host, so it's very interesting. He is a young guy, again, 567 00:31:33,400 --> 00:31:36,320 Speaker 20: very different profile than who's typically in there. But to 568 00:31:36,480 --> 00:31:39,600 Speaker 20: call him to diminish him is disingenuous because he clearly 569 00:31:39,600 --> 00:31:40,520 Speaker 20: has leadership. 570 00:31:40,160 --> 00:31:43,680 Speaker 3: Skills and he also clearly knows what's the problem, what 571 00:31:43,760 --> 00:31:47,880 Speaker 3: are the problems within the bureaucracy that he has to fix. 572 00:31:48,080 --> 00:31:52,000 Speaker 3: He's spoken about that at length. I think he is 573 00:31:52,040 --> 00:31:55,640 Speaker 3: just a very smart choice. He's likable, he's capable, he's young, 574 00:31:55,720 --> 00:31:58,960 Speaker 3: there's got a lot going for him. And someone else 575 00:31:59,000 --> 00:32:02,480 Speaker 3: who tacks all those boxes and who Trump has nominated 576 00:32:03,160 --> 00:32:06,640 Speaker 3: is a former Democrat Congresswoman, Tulsey Gabbett. She's going to 577 00:32:06,640 --> 00:32:11,920 Speaker 3: serve as Director of National Intelligence. Amazing koshuggles not long ago. 578 00:32:12,000 --> 00:32:14,800 Speaker 3: The left we're trying to defame her as some sort 579 00:32:14,800 --> 00:32:16,200 Speaker 3: of a traitor. 580 00:32:16,560 --> 00:32:17,560 Speaker 2: An agent to Russia. 581 00:32:17,880 --> 00:32:20,640 Speaker 20: She was, and she has a lawsuit out I think 582 00:32:20,680 --> 00:32:23,240 Speaker 20: against the Clinton's. It's been long standing. She was a 583 00:32:23,320 --> 00:32:27,480 Speaker 20: rising star in the Democrat Party, female veteran, she was 584 00:32:27,520 --> 00:32:30,200 Speaker 20: given very senior positions early on when she got elected. 585 00:32:30,280 --> 00:32:33,160 Speaker 20: And the transformation from that to leaving the party to 586 00:32:33,200 --> 00:32:37,000 Speaker 20: being an independent, to supporting Trump, and then actually converting 587 00:32:37,000 --> 00:32:39,160 Speaker 20: officially to the party and now being in the cabinet 588 00:32:39,400 --> 00:32:42,800 Speaker 20: should she get confirmation from the Senate is a great 589 00:32:42,840 --> 00:32:45,800 Speaker 20: story arc, a mini story arc under the Trump story arc. 590 00:32:45,920 --> 00:32:48,320 Speaker 20: And the other thing too is she's a veteran, but 591 00:32:48,360 --> 00:32:53,520 Speaker 20: she is solidly anti war unless it is a direct, provable, tangible, 592 00:32:53,640 --> 00:32:56,280 Speaker 20: visible benefit to the national interest of America, and a 593 00:32:56,280 --> 00:32:58,360 Speaker 20: lot of the wars that we've engaged in do not 594 00:32:58,760 --> 00:33:02,200 Speaker 20: fulfill that. It's going to be very interesting shakeup, and 595 00:33:02,240 --> 00:33:05,080 Speaker 20: she knows of what she speaks, having actually served in combat. 596 00:33:05,280 --> 00:33:09,080 Speaker 3: Absolutely, and so many Americans who have great respect for 597 00:33:09,120 --> 00:33:12,680 Speaker 3: the military would agree with that position wholeheartedly. They're not 598 00:33:12,920 --> 00:33:17,080 Speaker 3: anti military, they're just anti Americans being involved in these 599 00:33:17,120 --> 00:33:22,200 Speaker 3: forever wars with no clear goals. Let's talk about the 600 00:33:22,440 --> 00:33:27,600 Speaker 3: revelations here that Kamala Harris's campaign paid five hundred thousand 601 00:33:27,720 --> 00:33:34,120 Speaker 3: dollars to the charity run by Reverend Al Sharpton, who 602 00:33:34,440 --> 00:33:39,560 Speaker 3: also hosts a show on MSNBC. So just weeks before 603 00:33:39,600 --> 00:33:45,880 Speaker 3: she sat down with Sharpton for a really pitiful softball interview, 604 00:33:45,920 --> 00:33:49,920 Speaker 3: even by Kamala standards, she had handed over this five 605 00:33:50,000 --> 00:33:53,240 Speaker 3: hundred thousand dollar donation to this charity, which in itself 606 00:33:53,280 --> 00:33:54,080 Speaker 3: is rather shady. 607 00:33:54,120 --> 00:33:55,680 Speaker 2: We won't get into that, but. 608 00:33:55,640 --> 00:33:59,920 Speaker 3: There was no disclosure, absolutely no disclosure, even by MSNBC 609 00:34:00,080 --> 00:34:04,720 Speaker 3: these very very low standards. There's got to be some 610 00:34:04,760 --> 00:34:08,000 Speaker 3: sort of an accountability for what happened to you. 611 00:34:08,360 --> 00:34:12,000 Speaker 20: You know, there's been this undercurrent of questioning whether there's 612 00:34:12,719 --> 00:34:15,880 Speaker 20: support from the media in kind, even if it's not 613 00:34:15,920 --> 00:34:18,799 Speaker 20: explicitly in cash. Aoldoer here, there's even cash. It'll be 614 00:34:18,800 --> 00:34:21,919 Speaker 20: interesting to see in a court of law whether those 615 00:34:21,960 --> 00:34:24,200 Speaker 20: things go anywhere and if anyone's going to prosecute it 616 00:34:24,280 --> 00:34:24,440 Speaker 20: or not. 617 00:34:24,520 --> 00:34:25,480 Speaker 2: I don't know, but. 618 00:34:25,440 --> 00:34:28,399 Speaker 20: At least the appearance of impropriety doesn't help. On top 619 00:34:28,440 --> 00:34:30,319 Speaker 20: of the fact that she raised a billion dollars, as 620 00:34:30,360 --> 00:34:32,760 Speaker 20: we've talked about before, and is now at a deficit 621 00:34:32,760 --> 00:34:35,480 Speaker 20: of twenty million because she's paying five hundred thousand here 622 00:34:35,520 --> 00:34:37,959 Speaker 20: a million dollars to Oprah who knows what she paid 623 00:34:37,960 --> 00:34:40,000 Speaker 20: to Beyonce, And I don't think she has much to 624 00:34:40,000 --> 00:34:40,520 Speaker 20: show for it. 625 00:34:41,000 --> 00:34:46,920 Speaker 3: Well, no, and it was just completely having zero care 626 00:34:47,400 --> 00:34:50,360 Speaker 3: for the money people donated. And some of these donations, 627 00:34:50,440 --> 00:34:53,279 Speaker 3: yeah they're from billionaires, but some would have been from 628 00:34:53,280 --> 00:34:55,360 Speaker 3: every day mum and dad. So who can ill afford 629 00:34:55,400 --> 00:34:58,560 Speaker 3: to donate to a political cause, but they had. God 630 00:34:58,600 --> 00:35:02,840 Speaker 3: knows why she spends one hundred thousand dollars building a 631 00:35:02,920 --> 00:35:05,160 Speaker 3: set that looks like it costs five dollars in a 632 00:35:05,200 --> 00:35:08,719 Speaker 3: hotel room for call her daddy. It's just shows you 633 00:35:08,800 --> 00:35:12,440 Speaker 3: what disdain the Democrats have for other people's money. 634 00:35:13,640 --> 00:35:16,360 Speaker 2: This is a good story. I love this one. I 635 00:35:16,360 --> 00:35:17,120 Speaker 2: have a look at this. 636 00:35:17,120 --> 00:35:21,000 Speaker 3: This is Kamala Harris and Jill Biden and see if 637 00:35:21,000 --> 00:35:23,760 Speaker 3: you can detect the pure hatred. Yeah, they're sitting together 638 00:35:23,880 --> 00:35:27,640 Speaker 3: for veteran state commemorations in the Capitol. 639 00:35:27,960 --> 00:35:30,919 Speaker 2: Watch as they fail to interact in any way. 640 00:35:31,000 --> 00:35:33,719 Speaker 3: Kamala looks over a few times, but Jill is not 641 00:35:34,080 --> 00:35:34,640 Speaker 3: having it. 642 00:35:34,640 --> 00:35:35,600 Speaker 2: Gives her nothing. 643 00:35:36,480 --> 00:35:40,000 Speaker 3: And when you look at what happened before Kamala sat down, 644 00:35:40,120 --> 00:35:43,799 Speaker 3: you see that Jill does not even acknowledge her. Kamala 645 00:35:44,320 --> 00:35:48,879 Speaker 3: comes in, she's greeting people, she takes her seat, and 646 00:35:49,400 --> 00:35:53,640 Speaker 3: Jill did not even acknowledge a woman who a few 647 00:35:53,719 --> 00:35:56,399 Speaker 3: days ago she was supposedly endorsing fullheartedly. 648 00:35:56,880 --> 00:35:58,560 Speaker 2: Look at the smiles though. 649 00:35:58,600 --> 00:36:02,240 Speaker 3: When Donald Trump visited the White House earlier today, Jill 650 00:36:02,760 --> 00:36:06,160 Speaker 3: Joe Donald, it looked like the best of friends. 651 00:36:06,200 --> 00:36:06,560 Speaker 2: Look at that. 652 00:36:06,640 --> 00:36:10,359 Speaker 3: I've never seen them so happy. Interesting interaction. I don't 653 00:36:10,360 --> 00:36:12,239 Speaker 3: know if I'm reading too much into it, but there 654 00:36:12,280 --> 00:36:16,759 Speaker 3: are long running rumors that there's a fracture there. Jill 655 00:36:16,800 --> 00:36:20,239 Speaker 3: Biden doesn't like Kamala vice versa, and it certainly looked 656 00:36:20,320 --> 00:36:20,839 Speaker 3: liked it there. 657 00:36:21,960 --> 00:36:25,160 Speaker 20: We may be reading into it, but it analyzing Jill 658 00:36:25,200 --> 00:36:27,360 Speaker 20: Biden in the last two weeks has become a genre 659 00:36:27,680 --> 00:36:30,279 Speaker 20: to itself on Twitter. From the fact that she wore 660 00:36:30,360 --> 00:36:34,080 Speaker 20: red on election day to cast her vote. Maybe something, 661 00:36:34,120 --> 00:36:36,320 Speaker 20: maybe nothing, but it definitely sparked a lot of rumors 662 00:36:36,360 --> 00:36:39,560 Speaker 20: because typically the Democrats were blue. She's wearing red or 663 00:36:39,640 --> 00:36:42,560 Speaker 20: dark pink in that photo right there. And then the 664 00:36:42,640 --> 00:36:44,960 Speaker 20: stone called demeanor of Ma Kamla that you just showed, 665 00:36:45,000 --> 00:36:49,080 Speaker 20: and then smiling the biggest smile ever but Trump. You know, 666 00:36:49,440 --> 00:36:51,920 Speaker 20: it definitely creates an interesting narrative that we can have 667 00:36:51,960 --> 00:36:54,400 Speaker 20: fun with, and it's backed up by a little bit 668 00:36:54,400 --> 00:36:57,319 Speaker 20: of substance and that it's easy to imagine that the 669 00:36:57,320 --> 00:36:59,960 Speaker 20: Bidens do feel snubbed and scorned with how they were 670 00:37:00,200 --> 00:37:02,200 Speaker 20: treated and pushed out at the eleventh hours. 671 00:37:02,200 --> 00:37:04,799 Speaker 2: So it's not hard you understand. 672 00:37:05,000 --> 00:37:10,080 Speaker 3: And you've talked about Joe Biden and him in recent 673 00:37:10,280 --> 00:37:13,880 Speaker 3: days being so happy. I haven't seen him this happy 674 00:37:14,600 --> 00:37:16,400 Speaker 3: for years, literally for the. 675 00:37:16,400 --> 00:37:17,560 Speaker 2: Whole four year term. 676 00:37:17,719 --> 00:37:20,120 Speaker 3: It's hard to think of a time where he's just 677 00:37:20,200 --> 00:37:22,040 Speaker 3: got that big smile on his face. 678 00:37:22,080 --> 00:37:24,760 Speaker 2: I don't know whether it's just the pressure. 679 00:37:24,440 --> 00:37:27,320 Speaker 3: Is lifted and he can just enjoy the final months 680 00:37:27,320 --> 00:37:31,400 Speaker 3: of his lame duck presidency or what it is, but 681 00:37:31,560 --> 00:37:34,799 Speaker 3: he seems to be a changed man. Koshergator Thank you 682 00:37:34,840 --> 00:37:35,480 Speaker 3: so much for your time. 683 00:37:35,560 --> 00:37:37,920 Speaker 2: Toy still to come. 684 00:37:38,080 --> 00:37:42,920 Speaker 3: Ollie London joins me to review the funniest post election meltdowns. 685 00:37:52,400 --> 00:37:55,560 Speaker 3: Welcome back, joining me now for some fun and frivolity 686 00:37:55,600 --> 00:37:58,360 Speaker 3: poking fun and left is losing it is broadcaster and 687 00:37:58,400 --> 00:38:02,400 Speaker 3: commentator Ollie in London. Now we've been marveling at the 688 00:38:02,440 --> 00:38:05,800 Speaker 3: meltdown from the left. You think after twenty sixteen that 689 00:38:06,000 --> 00:38:08,040 Speaker 3: learned to cope better with disappointment, But. 690 00:38:08,719 --> 00:38:11,799 Speaker 2: Here we are. Let's start with Rosie o'donald. 691 00:38:12,320 --> 00:38:15,600 Speaker 10: We're in for one hell of a ride with him 692 00:38:15,640 --> 00:38:20,359 Speaker 10: at the helm and no immunity guard rails. And how 693 00:38:20,400 --> 00:38:27,080 Speaker 10: about we get rid of the electoral college? Is that 694 00:38:28,040 --> 00:38:34,480 Speaker 10: anybody like that? Anyone? I'm not so sure anymore. It's 695 00:38:34,600 --> 00:38:37,879 Speaker 10: a popular vote, That's what we need to do. Who 696 00:38:37,880 --> 00:38:44,640 Speaker 10: gets the most votes wins one vote, one person, No 697 00:38:44,800 --> 00:38:47,440 Speaker 10: racist math in the equation, Ollie. 698 00:38:47,840 --> 00:38:50,480 Speaker 3: Who's going to tell her that Donald Trump won the 699 00:38:50,520 --> 00:38:55,120 Speaker 3: popular vote, biggest popular vote by Republican ever? And how 700 00:38:55,200 --> 00:38:58,840 Speaker 3: exactly is the electoral college racist? 701 00:39:00,120 --> 00:39:03,640 Speaker 9: Rosie O'Donnell has a classic case of Trump arrangement syndrome. 702 00:39:03,680 --> 00:39:06,239 Speaker 9: She's always saying she's never going to speak about Trump again, 703 00:39:06,320 --> 00:39:09,120 Speaker 9: but she just can't help help herself going on ten 704 00:39:09,160 --> 00:39:13,040 Speaker 9: minute TikTok rants. Now she's making her TikTok account private. 705 00:39:13,080 --> 00:39:15,959 Speaker 9: She's made a brand new account so Trump fans can't 706 00:39:16,000 --> 00:39:18,759 Speaker 9: see her videos. And you know, Trump won by a 707 00:39:18,840 --> 00:39:21,839 Speaker 9: landslide with both, like you said, the popular votes and 708 00:39:21,880 --> 00:39:24,760 Speaker 9: the electoral College vote, so she clearly needs to study 709 00:39:25,120 --> 00:39:27,880 Speaker 9: the system and also to see that he won by 710 00:39:27,920 --> 00:39:31,240 Speaker 9: an absolute landslide with three hundred and twelve electoral College 711 00:39:31,320 --> 00:39:34,920 Speaker 9: votes and at least five million more votes than Kamala 712 00:39:35,200 --> 00:39:37,319 Speaker 9: in terms of the popular votes. So you know, but 713 00:39:37,400 --> 00:39:40,040 Speaker 9: people with Trumps arrangement syndrome, they can't seem to see 714 00:39:40,040 --> 00:39:40,680 Speaker 9: the facts read. 715 00:39:40,840 --> 00:39:42,960 Speaker 6: They just see their rage for Trump. 716 00:39:45,440 --> 00:39:47,759 Speaker 3: Now, let's have a look at this next dude who 717 00:39:47,840 --> 00:39:52,120 Speaker 3: identifies as a dudet, and he's got some advice for 718 00:39:52,160 --> 00:39:54,520 Speaker 3: the ladies in large of this election result. 719 00:39:56,080 --> 00:40:01,520 Speaker 21: Hey, fellow ladies out there, So men think they own 720 00:40:01,920 --> 00:40:05,840 Speaker 21: own You take it from somebody that used to be 721 00:40:05,880 --> 00:40:10,320 Speaker 21: a man. You got boobs, you got a vi JJ. 722 00:40:12,239 --> 00:40:16,839 Speaker 21: Guess what, honey, you own them? Trust me, they want it. 723 00:40:18,080 --> 00:40:18,920 Speaker 21: Make them own it. 724 00:40:19,440 --> 00:40:22,799 Speaker 3: Ah, that's more than a little creepy ollie. I'll get 725 00:40:22,920 --> 00:40:26,760 Speaker 3: your comment after this next clipper. This is another white 726 00:40:26,800 --> 00:40:29,839 Speaker 3: dude for Kamala who says Trump winning is not going 727 00:40:29,920 --> 00:40:32,960 Speaker 3: to stop him from going into women's locker rooms. 728 00:40:33,360 --> 00:40:35,680 Speaker 22: For the rest of you who voted for a convicted felon, 729 00:40:36,719 --> 00:40:39,160 Speaker 22: the same goes for you. I go where I please, 730 00:40:39,440 --> 00:40:41,839 Speaker 22: I use a women's restroom, I use the women's locker rooms, 731 00:40:41,880 --> 00:40:44,080 Speaker 22: and I will continue to do so whether you like 732 00:40:44,160 --> 00:40:44,520 Speaker 22: it or not. 733 00:40:46,320 --> 00:40:51,040 Speaker 3: Ollie, the excesses of the trans agenda certainly were an 734 00:40:51,040 --> 00:40:52,680 Speaker 3: issue during this election. 735 00:40:52,840 --> 00:40:53,879 Speaker 2: Of course, the. 736 00:40:53,880 --> 00:40:59,160 Speaker 3: Border the economy were the top line issues, but it's 737 00:40:59,360 --> 00:41:02,920 Speaker 3: very clear that culture war issues, if you want to 738 00:41:02,960 --> 00:41:08,120 Speaker 3: call them that, particularly the transagender were enormously significant, not 739 00:41:08,320 --> 00:41:11,719 Speaker 3: just for Trump's traditional base, but for a lot of 740 00:41:11,760 --> 00:41:14,960 Speaker 3: independent voters that opted for Trump this time round. 741 00:41:16,360 --> 00:41:18,720 Speaker 9: Yeah, this is one of the key issues with this election. 742 00:41:18,880 --> 00:41:22,120 Speaker 9: You know, Trump has about to ban biological males and 743 00:41:22,160 --> 00:41:25,799 Speaker 9: women's sports. He's also said he's going to do a 744 00:41:25,880 --> 00:41:30,120 Speaker 9: federal ban on children being medically transitioned to anyone under 745 00:41:30,160 --> 00:41:33,080 Speaker 9: the age of eighteen. So clearly these white dudes for 746 00:41:33,120 --> 00:41:35,759 Speaker 9: Harris aren't taking this very well. And you know they're 747 00:41:35,800 --> 00:41:39,280 Speaker 9: saying they're standing with women regarding abortion. They believe they're women, 748 00:41:39,320 --> 00:41:42,600 Speaker 9: they feel they're entitled to use women's restrooms. Well, they've 749 00:41:42,640 --> 00:41:46,040 Speaker 9: got another thing coming on January twentieth when Trump takes charge, 750 00:41:46,080 --> 00:41:48,800 Speaker 9: because he's going to make sure that women feel safe 751 00:41:48,960 --> 00:41:52,360 Speaker 9: in their spaces and that biological males aren't invaded in 752 00:41:52,400 --> 00:41:55,200 Speaker 9: his spaces. But also said that Trump is a great 753 00:41:55,239 --> 00:41:57,000 Speaker 9: ally of LGBT people. 754 00:41:57,080 --> 00:41:59,120 Speaker 6: You know, he's a great friend with Caitlyn Jenna. 755 00:41:59,200 --> 00:42:03,360 Speaker 9: He's very much supportive of people however they identify. You know, 756 00:42:03,400 --> 00:42:07,239 Speaker 9: he judges them based on merits, based on who they 757 00:42:07,239 --> 00:42:09,760 Speaker 9: are as a person. But he's not going to allow 758 00:42:10,239 --> 00:42:13,520 Speaker 9: men into women's spaces and to have children transitioning. So 759 00:42:13,560 --> 00:42:15,719 Speaker 9: that's a key Trump policy, and I think that was 760 00:42:15,760 --> 00:42:18,520 Speaker 9: one of the main reasons why many women and also 761 00:42:18,680 --> 00:42:20,680 Speaker 9: parents felt the need to vote for Trump. 762 00:42:23,160 --> 00:42:27,280 Speaker 3: Now Joy raid she's an MSNBC anchor regularly and lefties 763 00:42:27,320 --> 00:42:32,480 Speaker 3: losing it. She's now attacking self loathing lefty white women. 764 00:42:32,719 --> 00:42:35,000 Speaker 3: The only people who actually watch your show. 765 00:42:35,719 --> 00:42:39,520 Speaker 5: I just want to give some free advice to the 766 00:42:39,800 --> 00:42:44,600 Speaker 5: white progressives, particularly progressive women, who maybe thinking about marching 767 00:42:44,760 --> 00:42:48,000 Speaker 5: against the Trump victory, maybe putting back on the P 768 00:42:48,160 --> 00:42:50,680 Speaker 5: word hats and doing that thing. I would just say, 769 00:42:50,719 --> 00:42:54,600 Speaker 5: probably don't send any of those invites to any black women. 770 00:42:54,640 --> 00:42:57,960 Speaker 5: You know, I'm just going to tell you right now, 771 00:42:57,960 --> 00:43:00,719 Speaker 5: they're not coming. I think black women are now on 772 00:43:00,760 --> 00:43:06,640 Speaker 5: the save black women, prioritize black men, and prioritize black communities, 773 00:43:06,680 --> 00:43:10,880 Speaker 5: black businesses in that. And you know, the black spaces 774 00:43:10,920 --> 00:43:13,279 Speaker 5: perceive America, see the democratic pride are Yeah, I think 775 00:43:13,280 --> 00:43:13,720 Speaker 5: that's happening. 776 00:43:14,160 --> 00:43:15,840 Speaker 2: What do you make of that, Ollie. 777 00:43:16,320 --> 00:43:21,759 Speaker 3: Some of these race obsessed commentators, the ones on CNN, MSNBC, 778 00:43:22,600 --> 00:43:25,759 Speaker 3: number of other networks, they just will not let go 779 00:43:25,840 --> 00:43:31,120 Speaker 3: of this identity politics, no matter how divisive destructive it is. 780 00:43:31,520 --> 00:43:33,520 Speaker 2: They cling to it and they're doubling down. 781 00:43:35,200 --> 00:43:37,799 Speaker 9: Well, let's just say there's nothing joyful about joy Read. 782 00:43:37,880 --> 00:43:41,360 Speaker 9: She is one of MSNBC's biggest sto race bass and 783 00:43:41,400 --> 00:43:44,640 Speaker 9: you know, she's always going on about race when people 784 00:43:44,800 --> 00:43:48,120 Speaker 9: don't generally look at race. People judge people based on character, 785 00:43:48,200 --> 00:43:49,600 Speaker 9: based on who they are as a person. 786 00:43:49,640 --> 00:43:51,840 Speaker 6: You know. So she's trying to divide people. 787 00:43:51,880 --> 00:43:55,120 Speaker 9: She's trying to divide her progressive viewers, and she needs 788 00:43:55,160 --> 00:43:57,399 Speaker 9: to cling onto those viewers because her ratings are down 789 00:43:57,440 --> 00:44:02,400 Speaker 9: over fifty percent. MSNBC is struggling. You know, they just 790 00:44:02,480 --> 00:44:05,920 Speaker 9: beat CNM with the election coverage just over five million viewers, 791 00:44:05,920 --> 00:44:09,200 Speaker 9: which is considerably down from twenty sixteen and twenty twenty. 792 00:44:09,320 --> 00:44:12,239 Speaker 9: So she needs to hang on to those voters and 793 00:44:12,280 --> 00:44:15,520 Speaker 9: so those viewers, and she's you know, she's already alienating 794 00:44:15,560 --> 00:44:17,600 Speaker 9: people with this race basing, and you know, there's just 795 00:44:17,640 --> 00:44:21,120 Speaker 9: no need for it, because there are genuine concerns. 796 00:44:20,600 --> 00:44:23,200 Speaker 6: For the black community in America. 797 00:44:23,239 --> 00:44:25,399 Speaker 9: But it doesn't help when you have someone like joy 798 00:44:25,520 --> 00:44:29,280 Speaker 9: Read constantly race basing, making everything about race, and people 799 00:44:29,320 --> 00:44:31,960 Speaker 9: don't look at people based on race. People just judge 800 00:44:32,000 --> 00:44:33,680 Speaker 9: people based on who they are as a person. 801 00:44:35,920 --> 00:44:40,719 Speaker 3: Well, there is an issue joy Read does represent a 802 00:44:40,760 --> 00:44:42,040 Speaker 3: certain demographic. 803 00:44:42,160 --> 00:44:43,799 Speaker 2: You have to say, yes, you're right, her. 804 00:44:43,719 --> 00:44:47,640 Speaker 3: Audience has absolutely plummeted by more than fifty percent. 805 00:44:48,200 --> 00:44:51,120 Speaker 2: But I don't know what it is. 806 00:44:51,280 --> 00:44:55,719 Speaker 3: But you look at how all those demographics are shifting 807 00:44:56,080 --> 00:44:59,640 Speaker 3: and people are thinking more freely, so they're not feeling 808 00:44:59,680 --> 00:45:02,440 Speaker 3: a blow to vote a certain way just because of 809 00:45:02,480 --> 00:45:05,719 Speaker 3: their ethnicity or their gender. But when it comes to 810 00:45:05,800 --> 00:45:10,000 Speaker 3: black women, only seven percent when Republican. That is a 811 00:45:10,080 --> 00:45:14,080 Speaker 3: voter block that has been unshakable, So I guess she's 812 00:45:14,120 --> 00:45:16,120 Speaker 3: speaking to that demographic. 813 00:45:16,680 --> 00:45:19,680 Speaker 2: Now, let's have a look at this hateful girl. 814 00:45:19,800 --> 00:45:22,240 Speaker 3: A little bit weird, little bit hateful, and she seems 815 00:45:22,280 --> 00:45:24,400 Speaker 3: to have some delusions of grandeur. 816 00:45:24,960 --> 00:45:28,000 Speaker 23: I'm so excited for and I fully support this movement 817 00:45:28,080 --> 00:45:31,680 Speaker 23: of making mainly men's lives, but really, anyone who voted 818 00:45:31,719 --> 00:45:36,720 Speaker 23: for Trump's lives miserable. I'm really enjoying all this content 819 00:45:36,800 --> 00:45:40,440 Speaker 23: about tormenting them, so keep it up. 820 00:45:40,480 --> 00:45:44,240 Speaker 3: And this next gal is a well, she's a conformist sheet, 821 00:45:44,280 --> 00:45:45,880 Speaker 3: but she thinks she's a rebell. 822 00:45:46,560 --> 00:45:47,359 Speaker 2: Sorry, love, but. 823 00:45:47,400 --> 00:45:50,320 Speaker 3: Having lots of piercings and metal in your face doesn't 824 00:45:50,320 --> 00:45:51,200 Speaker 3: make you a rebel. 825 00:45:51,680 --> 00:45:54,360 Speaker 8: Let me be very very clear when I say this. 826 00:45:55,000 --> 00:45:59,560 Speaker 8: If you are an alternative person, punk god, however, you 827 00:45:59,640 --> 00:46:04,200 Speaker 8: class about yourself and the alternative community, and you support Trump, 828 00:46:04,280 --> 00:46:05,399 Speaker 8: no you're no. 829 00:46:05,360 --> 00:46:06,240 Speaker 2: You're not Ollie. 830 00:46:06,280 --> 00:46:10,280 Speaker 3: In the modern age, the rebels are the conservatives. Every 831 00:46:10,320 --> 00:46:14,640 Speaker 3: institution now, from government bodies to the corporate world, to 832 00:46:14,719 --> 00:46:19,640 Speaker 3: academia to Hollywood media is dominated by the left. 833 00:46:19,760 --> 00:46:21,000 Speaker 2: The rebels are on the right. 834 00:46:22,600 --> 00:46:23,360 Speaker 6: Yeah, absolutely. 835 00:46:23,360 --> 00:46:26,520 Speaker 9: The free speech advocates, the people that are happy to 836 00:46:26,520 --> 00:46:29,960 Speaker 9: have a debated discussion are now the conservatives. They've become 837 00:46:30,000 --> 00:46:32,280 Speaker 9: the cool kids. And I think that's a big shift 838 00:46:32,280 --> 00:46:36,160 Speaker 9: we've seen with Trump. During this election. It actually became 839 00:46:36,239 --> 00:46:39,560 Speaker 9: cool for Generation Z to support Trump, whereas in twenty 840 00:46:39,680 --> 00:46:43,080 Speaker 9: sixteen it was kind of taboo because you'd be labeled racist, 841 00:46:43,120 --> 00:46:46,399 Speaker 9: you'd be labeled xenophobic. But now, actually we've seen huge 842 00:46:46,480 --> 00:46:50,080 Speaker 9: numbers of young people come out and Generation X as 843 00:46:50,120 --> 00:46:51,839 Speaker 9: well have been huge supporters of Trump. 844 00:46:51,960 --> 00:46:52,920 Speaker 6: So we've seen that shift. 845 00:46:53,040 --> 00:46:57,040 Speaker 9: And the liberal Karens are having an absolute meltdown. And 846 00:46:57,080 --> 00:46:59,279 Speaker 9: these are the people that don't like debate reach, they 847 00:46:59,280 --> 00:47:02,279 Speaker 9: don't want to have a sensible discussion, and one of 848 00:47:02,320 --> 00:47:04,800 Speaker 9: their key issues was abortion rights. 849 00:47:04,800 --> 00:47:06,279 Speaker 6: And now any of them are. 850 00:47:06,160 --> 00:47:08,360 Speaker 9: Going on strike a shaving their hairs, saying, you know, 851 00:47:08,480 --> 00:47:09,880 Speaker 9: men aren't allowed to go near them. 852 00:47:09,920 --> 00:47:10,040 Speaker 8: Men. 853 00:47:10,480 --> 00:47:10,920 Speaker 20: No, I. 854 00:47:12,640 --> 00:47:13,960 Speaker 6: Just think it's it's complete. 855 00:47:14,360 --> 00:47:17,120 Speaker 3: I don't think too many men mind. Yeah, I don't 856 00:47:17,120 --> 00:47:20,080 Speaker 3: think too many men mind. Let's just end with this 857 00:47:20,480 --> 00:47:21,240 Speaker 3: last clip. 858 00:47:21,880 --> 00:47:22,879 Speaker 2: This genius has. 859 00:47:22,800 --> 00:47:26,560 Speaker 3: A cunning plan to stop Trump's second term. 860 00:47:26,840 --> 00:47:31,080 Speaker 24: Okay, so we could actually stop DJT from becoming elected 861 00:47:31,120 --> 00:47:34,320 Speaker 24: because they would be accused of very serious crimes such 862 00:47:34,400 --> 00:47:40,520 Speaker 24: as treason and perhaps colluding with a foreign entity things 863 00:47:40,560 --> 00:47:45,800 Speaker 24: like that, it's highly unlikely that they would move forward 864 00:47:46,320 --> 00:47:47,480 Speaker 24: with inauguration day. 865 00:47:48,239 --> 00:47:50,600 Speaker 3: I want someone to save that cat. That poor kitty 866 00:47:50,680 --> 00:47:53,719 Speaker 3: having to listen to all that Holy London. We're run 867 00:47:53,760 --> 00:47:55,480 Speaker 3: out of time. Thank you so much for your time 868 00:47:55,520 --> 00:47:56,680 Speaker 3: this evening. Appreciate it. 869 00:47:57,280 --> 00:47:59,480 Speaker 6: Thanks pleasure, ETA, and. 870 00:47:59,400 --> 00:48:02,680 Speaker 3: That's it me. Newsnight is up next and I'll see 871 00:48:02,680 --> 00:48:03,719 Speaker 3: you tomorrow night. 872 00:48:03,840 --> 00:48:05,000 Speaker 2: For Left, he's losing it. 873 00:48:05,160 --> 00:48:07,360 Speaker 3: At nine point thirty,