1 00:00:02,759 --> 00:00:07,200 Speaker 1: On scoring Zostronia. This is the Wader Paney Show. 2 00:00:09,160 --> 00:00:11,760 Speaker 2: Good evening and welcome to the Rita Panehy Show. We 3 00:00:11,840 --> 00:00:15,120 Speaker 2: have a massive program for you tonight. Joining me shortly 4 00:00:15,200 --> 00:00:18,960 Speaker 2: one of the finest thinkers of his generation Douglas Murray, 5 00:00:18,960 --> 00:00:22,279 Speaker 2: who is currently under attack in the UK with left 6 00:00:22,360 --> 00:00:26,920 Speaker 2: US activist demanding his arrest. Also tonight the latest local 7 00:00:27,040 --> 00:00:30,960 Speaker 2: international news with Nick Kata and Kosher Gator, and later 8 00:00:31,040 --> 00:00:34,640 Speaker 2: in the hour Royal and Celebrity news with Kinsey Schofield 9 00:00:34,800 --> 00:00:38,080 Speaker 2: and the segment that goes viral each and every night 10 00:00:38,440 --> 00:00:41,159 Speaker 2: millions of people watch this left He's losing it. 11 00:00:42,200 --> 00:00:44,320 Speaker 3: Oh my god, your dog is so cute? Can I 12 00:00:44,440 --> 00:00:48,400 Speaker 3: pat her oh Day is actually non binary? But you 13 00:00:48,479 --> 00:00:49,160 Speaker 3: can pet bay? 14 00:00:49,320 --> 00:00:53,040 Speaker 4: Have you Blake Thinks brilliant model gaining as gender dogs. 15 00:00:53,760 --> 00:00:58,160 Speaker 2: Joining me all the way from Bosnia is Mensi's Research Center, 16 00:00:58,320 --> 00:01:03,600 Speaker 2: Senior Fellow and senior col with the Australian newspaper, Nick Cater. Nick, 17 00:01:03,680 --> 00:01:08,040 Speaker 2: let's start with the ABC and it's unrelenting leftist activism 18 00:01:08,120 --> 00:01:11,120 Speaker 2: and bias. Have a look at this from Sarah Ferguson 19 00:01:11,160 --> 00:01:14,679 Speaker 2: this week. This is in her interview with Nancy Pelosi, 20 00:01:14,800 --> 00:01:20,200 Speaker 2: former Speaker of the US House. The Trump derangement syndrome 21 00:01:20,240 --> 00:01:22,640 Speaker 2: here is off the charts. 22 00:01:22,920 --> 00:01:26,640 Speaker 5: Donald Trump poisoned American politics in a new way. He's 23 00:01:26,760 --> 00:01:31,800 Speaker 5: clearly taken America to a dark place. Do you also 24 00:01:31,880 --> 00:01:34,959 Speaker 5: hold him responsible for the dark place that he took 25 00:01:35,080 --> 00:01:39,839 Speaker 5: your family to with the terrible attack on your husband 26 00:01:39,920 --> 00:01:40,520 Speaker 5: in your home? 27 00:01:41,040 --> 00:01:41,280 Speaker 3: Nick? 28 00:01:41,800 --> 00:01:44,840 Speaker 2: Did you forget that it was Donald Trump who was 29 00:01:44,880 --> 00:01:47,240 Speaker 2: almost assassinated about a month ago? 30 00:01:47,880 --> 00:01:49,160 Speaker 3: And I must point out. 31 00:01:49,080 --> 00:01:52,680 Speaker 2: This is the same ABC reporter who spent a considerable 32 00:01:52,720 --> 00:01:57,800 Speaker 2: amount of our money pushing the thoroughly debunked Russian conspiracy 33 00:01:57,880 --> 00:01:59,680 Speaker 2: theory in a three part series. 34 00:02:00,440 --> 00:02:02,520 Speaker 3: Do we ever get any accountability for that? 35 00:02:03,120 --> 00:02:07,920 Speaker 2: But just tell me what you think about the ABC 36 00:02:08,639 --> 00:02:11,880 Speaker 2: and they're unashamed activism. 37 00:02:12,240 --> 00:02:15,000 Speaker 1: Yeah, well, I think Trump arrangement syndrome is said in there, 38 00:02:15,120 --> 00:02:18,160 Speaker 1: and I suggest that we send some vans with suitably 39 00:02:18,360 --> 00:02:21,840 Speaker 1: protected health workers to actually take them out and swap 40 00:02:21,880 --> 00:02:23,480 Speaker 1: them and test them. But I think you'd find it's 41 00:02:23,680 --> 00:02:26,600 Speaker 1: pretty much one hundred percent and there's no known cure 42 00:02:26,720 --> 00:02:30,040 Speaker 1: for it except perhaps taking them out of the ABC 43 00:02:30,200 --> 00:02:33,640 Speaker 1: and parking them in front of Sky News for a week. 44 00:02:33,720 --> 00:02:37,120 Speaker 1: But anyway, the point here is if Sarah Fergus's logic 45 00:02:37,400 --> 00:02:42,160 Speaker 1: is that Donald Trump's rhetoric in some way incited some 46 00:02:42,360 --> 00:02:45,960 Speaker 1: individual to go and beat up Nancy Bloni's husband and 47 00:02:46,000 --> 00:02:49,040 Speaker 1: all those terrible things that happen. That is a long bow. 48 00:02:49,080 --> 00:02:51,600 Speaker 1: But you could equally well say that going around talking 49 00:02:51,600 --> 00:02:55,800 Speaker 1: about Trump taking America to a dark place, some poisoning 50 00:02:56,320 --> 00:02:59,720 Speaker 1: politics is actually going to incite other individuals to go 51 00:02:59,760 --> 00:03:01,919 Speaker 1: and to make a potshot at him, as one did. 52 00:03:02,000 --> 00:03:05,680 Speaker 1: Because if you really think that Trump is the Antichrist, 53 00:03:05,720 --> 00:03:08,799 Speaker 1: you know, the absolute enemy of mankind, then what won't 54 00:03:08,840 --> 00:03:11,720 Speaker 1: you do to stop him? So I think this idea 55 00:03:11,760 --> 00:03:13,840 Speaker 1: that in I mean, I'm not a great believer in 56 00:03:13,880 --> 00:03:16,680 Speaker 1: the fact that inflammatory rhetoric does these things. I think 57 00:03:16,680 --> 00:03:19,280 Speaker 1: that's down to individuals who make those decisions. But if 58 00:03:19,280 --> 00:03:21,839 Speaker 1: you're going to go with that logic, Sarah, then you'd 59 00:03:21,840 --> 00:03:23,360 Speaker 1: better watch your own language. 60 00:03:25,120 --> 00:03:28,080 Speaker 2: Yeah, these people can't even follow their own stupid rules. 61 00:03:28,360 --> 00:03:28,560 Speaker 6: There. 62 00:03:28,560 --> 00:03:31,560 Speaker 3: The double standards are many. 63 00:03:32,040 --> 00:03:35,920 Speaker 2: Now let's go to Cabra and the unedifying outbursts we 64 00:03:36,000 --> 00:03:40,040 Speaker 2: saw today. Here is our Green Senator Sarah Hanson Young 65 00:03:40,120 --> 00:03:44,800 Speaker 2: heckling the Nationals David Little Proud while he was addressing 66 00:03:44,800 --> 00:03:46,119 Speaker 2: the media. 67 00:03:45,760 --> 00:03:49,160 Speaker 7: Peter Darton has laid out a pathway more so than 68 00:03:49,240 --> 00:03:51,160 Speaker 7: what many of Palestine's o neighbors. 69 00:03:50,800 --> 00:03:55,520 Speaker 8: Would maybe say something about the children that are being. 70 00:03:55,560 --> 00:04:00,000 Speaker 2: Slaughter Why don't you say something about the children being slaughtered? 71 00:04:00,160 --> 00:04:01,640 Speaker 3: That's what she said. If you couldn't hear it. 72 00:04:02,000 --> 00:04:04,680 Speaker 2: And in the Lower House we had at till MP's 73 00:04:04,760 --> 00:04:08,960 Speaker 2: Alie Stegel, independent till whatever she is, she called the 74 00:04:08,960 --> 00:04:10,600 Speaker 2: opposition leader racist. 75 00:04:11,360 --> 00:04:14,760 Speaker 4: I would like to share is the human story, the 76 00:04:14,800 --> 00:04:17,720 Speaker 4: real story about some of the people we're talking about, 77 00:04:18,240 --> 00:04:20,279 Speaker 4: the lives they're talking And I would ask you to 78 00:04:20,320 --> 00:04:20,960 Speaker 4: be silent. 79 00:04:21,600 --> 00:04:22,839 Speaker 7: I have the floor. 80 00:04:23,160 --> 00:04:26,159 Speaker 3: Order we hurt you in silence. You can hear me 81 00:04:26,440 --> 00:04:29,040 Speaker 3: in silence. Order stop being racist. 82 00:04:29,320 --> 00:04:34,000 Speaker 7: The opposition order. 83 00:04:32,480 --> 00:04:34,400 Speaker 3: Well, it was an offensive and unparliamentary remark. 84 00:04:34,480 --> 00:04:35,200 Speaker 8: It should be withdrawn. 85 00:04:35,720 --> 00:04:40,280 Speaker 4: Is a description of language being racist and unparliamentary remark. 86 00:04:40,480 --> 00:04:43,680 Speaker 2: Nicka, how do you see the conduct of Stegel and 87 00:04:43,839 --> 00:04:44,560 Speaker 2: Hans and Young. 88 00:04:47,400 --> 00:04:50,000 Speaker 1: Look, this may be a wild theory fritchart, but I 89 00:04:50,080 --> 00:04:53,200 Speaker 1: wonder if actually Stegel and Hanson Young in some strange 90 00:04:53,200 --> 00:04:56,800 Speaker 1: way are actually on the Peter Dutton team campaigning to 91 00:04:56,800 --> 00:05:00,400 Speaker 1: get him elected. Because this you couldn't buy this sort 92 00:05:00,440 --> 00:05:04,480 Speaker 1: of publicity. Really, if you're Peter Dutton, you know, ordinary working, 93 00:05:04,720 --> 00:05:09,320 Speaker 1: decent people out there, Australians, patriotic Australians are right on 94 00:05:09,400 --> 00:05:12,240 Speaker 1: board with Peter Dutton. There are no votes in what 95 00:05:12,279 --> 00:05:16,720 Speaker 1: Anthony Albanezi is proposing, which is basically open doors of Palestinians. 96 00:05:17,160 --> 00:05:20,800 Speaker 1: People want their borders protected. They can see that when 97 00:05:20,800 --> 00:05:23,760 Speaker 1: you get seventy five percent of people in Gaza apparently 98 00:05:23,800 --> 00:05:27,320 Speaker 1: an opinion poll who support hamas well, you know, are 99 00:05:27,360 --> 00:05:28,840 Speaker 1: we just going to be lucky and just get that 100 00:05:28,880 --> 00:05:32,200 Speaker 1: twenty five percent who don't? Of course not. So you know, 101 00:05:32,560 --> 00:05:37,120 Speaker 1: ordinary decent, patriotic Australians are right behind Peter Dutton. And 102 00:05:37,200 --> 00:05:42,120 Speaker 1: every time you get these sort of displays of I 103 00:05:42,160 --> 00:05:45,040 Speaker 1: don't know, virtue signaling in his ear, then it just 104 00:05:45,440 --> 00:05:50,120 Speaker 1: adds to people's concerns and puts them behind him. So yeah, no, no, 105 00:05:50,120 --> 00:05:53,599 Speaker 1: no marks to Sali's Stegel or ra Hanson Young for 106 00:05:53,640 --> 00:05:54,200 Speaker 1: that well. 107 00:05:54,080 --> 00:05:58,200 Speaker 2: Peter Dutton. Peter Dutton is coppying it from the media 108 00:05:58,360 --> 00:06:02,240 Speaker 2: as well. No surprises there. He was asked this on 109 00:06:02,960 --> 00:06:08,640 Speaker 2: nine today. He was asked whether he's a heartless racist. 110 00:06:08,320 --> 00:06:11,920 Speaker 3: Have a listen, good to see it are you heartless? 111 00:06:12,080 --> 00:06:18,080 Speaker 7: A heartless racist? Do you have any humanity? 112 00:06:19,160 --> 00:06:23,320 Speaker 2: All he could do was laugh there and collect his thoughts. 113 00:06:25,520 --> 00:06:27,400 Speaker 3: I don't know how else do you respond. 114 00:06:27,040 --> 00:06:31,919 Speaker 1: To a question like that, Nick, No, I mean you 115 00:06:31,920 --> 00:06:34,440 Speaker 1: put that question to be do you have any humanity? 116 00:06:34,800 --> 00:06:37,760 Speaker 1: I don't quite know if i'd know what to say. Look, 117 00:06:38,440 --> 00:06:42,839 Speaker 1: it is ridiculous, but it's like all these things. Really, 118 00:06:42,839 --> 00:06:44,839 Speaker 1: do you know if we were to have a referendum 119 00:06:44,880 --> 00:06:48,080 Speaker 1: on this tomorrow, you know how to referendum? Theoretically? Should 120 00:06:48,120 --> 00:06:51,760 Speaker 1: we let in guards and refugees or people who claim 121 00:06:51,839 --> 00:06:54,840 Speaker 1: their refugees without being able to check their bona fides? 122 00:06:55,400 --> 00:06:58,960 Speaker 1: The result would be an emphatic no. It would make 123 00:06:58,960 --> 00:07:01,000 Speaker 1: the voice reference of look tiny. 124 00:07:01,560 --> 00:07:02,120 Speaker 7: You know that. 125 00:07:02,320 --> 00:07:06,480 Speaker 1: So you know Peter Dutton is clearly with the majority 126 00:07:06,520 --> 00:07:09,920 Speaker 1: of the Australian people. But having to battle against this 127 00:07:10,160 --> 00:07:13,880 Speaker 1: huge tide of wokeness that pours out of Fairfax and 128 00:07:13,920 --> 00:07:18,000 Speaker 1: the ABC and the Parliament and SBS and every other pace, 129 00:07:18,080 --> 00:07:20,680 Speaker 1: you know, he's got to keep his head above water. 130 00:07:20,720 --> 00:07:22,200 Speaker 1: But if he can do that, I think he can 131 00:07:22,240 --> 00:07:23,920 Speaker 1: win this issue, no problem. 132 00:07:25,760 --> 00:07:26,640 Speaker 3: Oh absolutely. 133 00:07:26,720 --> 00:07:29,800 Speaker 2: I think he's used to getting harsh media treatment, but 134 00:07:29,920 --> 00:07:31,960 Speaker 2: I think that treatment is going to. 135 00:07:31,960 --> 00:07:34,640 Speaker 3: Be far worse than he's ever seen. 136 00:07:34,720 --> 00:07:38,360 Speaker 2: He is the opposition leader now, the polls of Titan 137 00:07:38,720 --> 00:07:45,560 Speaker 2: is within a winning margin, and he's coming out strongly 138 00:07:45,680 --> 00:07:49,000 Speaker 2: with these conservative positions after the success of the no 139 00:07:49,200 --> 00:07:54,000 Speaker 2: campaign for the Voice, and I think the media campaign 140 00:07:54,000 --> 00:07:55,760 Speaker 2: against him is going to intensify. 141 00:07:56,040 --> 00:07:56,320 Speaker 3: Nick. 142 00:07:56,680 --> 00:07:58,760 Speaker 2: Now, before you go, I want to play you this 143 00:07:58,920 --> 00:08:02,880 Speaker 2: clip that the Marla Harris campaign have released is just 144 00:08:03,440 --> 00:08:06,080 Speaker 2: again so authentic and real. 145 00:08:06,200 --> 00:08:06,760 Speaker 3: Have a look. 146 00:08:07,040 --> 00:08:12,200 Speaker 7: I called you, Tim, Yes, you didn't answer, Tim. 147 00:08:12,320 --> 00:08:15,360 Speaker 9: I know, I know the what happened, the most important 148 00:08:15,360 --> 00:08:18,040 Speaker 9: call of my life. It popped up and we didn't 149 00:08:18,080 --> 00:08:20,680 Speaker 9: recognize the caller a D and it went to A 150 00:08:21,040 --> 00:08:28,120 Speaker 9: went to voicemail. 151 00:08:28,360 --> 00:08:32,160 Speaker 3: Thank you, Hey, Tim, it's Kamla. I really want to 152 00:08:32,160 --> 00:08:35,079 Speaker 3: talk to you, Nicka. 153 00:08:35,200 --> 00:08:37,199 Speaker 2: We've run out of time, and thank God, because I 154 00:08:37,240 --> 00:08:40,160 Speaker 2: don't know how much more of the Kamala and Wolves 155 00:08:40,280 --> 00:08:44,000 Speaker 2: I can stomach. Nick Kita enjoyed Bosnia. Thanks for your 156 00:08:44,000 --> 00:08:44,720 Speaker 2: time this evening. 157 00:08:45,679 --> 00:08:46,280 Speaker 3: Joining me now. 158 00:08:46,480 --> 00:08:49,680 Speaker 2: Is author of international best sellers, including The War on 159 00:08:49,720 --> 00:08:51,920 Speaker 2: the West and The Strange Death of Europe. One of 160 00:08:51,960 --> 00:08:56,720 Speaker 2: the finest thinkers of his generation, Douglas Marian Douglas, you 161 00:08:56,760 --> 00:09:00,400 Speaker 2: are right now under attack. The left in the UK 162 00:09:00,520 --> 00:09:03,240 Speaker 2: are trying to cancel you. They want you banned from 163 00:09:03,600 --> 00:09:07,720 Speaker 2: tver appearances. They want you to stop writing for publications 164 00:09:07,800 --> 00:09:11,600 Speaker 2: like The Spectator. But it hasn't stopped there, led by 165 00:09:11,600 --> 00:09:15,440 Speaker 2: the likes of Alistair Campbell, He's a supposed former journalist 166 00:09:15,480 --> 00:09:19,240 Speaker 2: turned to Tony blas spokesperson New Labor spokesperson. 167 00:09:20,400 --> 00:09:21,720 Speaker 3: He and others are. 168 00:09:22,000 --> 00:09:28,040 Speaker 2: Wanting you arrested and charged for offensive commentary also known 169 00:09:28,080 --> 00:09:30,920 Speaker 2: as telling the truth. What is going on in the UK? 170 00:09:31,200 --> 00:09:34,960 Speaker 2: And do you fear that police are scrutinizing your tweets 171 00:09:35,000 --> 00:09:37,360 Speaker 2: and interviews and things you've written. 172 00:09:39,040 --> 00:09:42,640 Speaker 7: Well, all that caused this was the fact that I've 173 00:09:42,720 --> 00:09:46,920 Speaker 7: used my eyes in recent decades, and I've also used 174 00:09:47,880 --> 00:09:52,720 Speaker 7: my pen, and I have described what has happened to 175 00:09:52,920 --> 00:09:56,240 Speaker 7: my country of birth, Great Britain, and the continent of Europe, 176 00:09:56,559 --> 00:09:59,480 Speaker 7: and indeed the way to develop world and the challenges 177 00:09:59,559 --> 00:10:03,040 Speaker 7: that come through illegal and legal mass migration. That's not 178 00:10:03,120 --> 00:10:08,240 Speaker 7: all migration, but illegal and legal mass migration. Interestingly enough, 179 00:10:09,240 --> 00:10:12,520 Speaker 7: this interview that seems to have coursed this breakdown from 180 00:10:12,559 --> 00:10:16,120 Speaker 7: Alistair Campbell was one in which I simply said what 181 00:10:16,640 --> 00:10:19,480 Speaker 7: I describe in the strange death of Europe as happening 182 00:10:19,679 --> 00:10:22,920 Speaker 7: is indeed what is now happening. And I said this, 183 00:10:23,320 --> 00:10:27,440 Speaker 7: as many people have noted, not in a spirit of glee, 184 00:10:27,679 --> 00:10:31,000 Speaker 7: but in one of deep lamentation. I never wanted to 185 00:10:31,040 --> 00:10:34,200 Speaker 7: be proved right on this, and it gives me absolutely 186 00:10:34,240 --> 00:10:37,920 Speaker 7: no joy to have been proven right that the importing 187 00:10:37,960 --> 00:10:41,680 Speaker 7: of very large numbers of people illegally and legally from 188 00:10:41,800 --> 00:10:45,320 Speaker 7: very different cultures into a society which totally fails to 189 00:10:45,360 --> 00:10:48,679 Speaker 7: integrate them will lead to massive problems, including at some 190 00:10:48,840 --> 00:10:52,600 Speaker 7: point a massive backlash. Now it's interesting Alistair Campbell should 191 00:10:52,600 --> 00:10:54,880 Speaker 7: have been one of the ones to try to start 192 00:10:54,920 --> 00:10:58,320 Speaker 7: this pile on. Of course, Alistair Campbell was part of 193 00:10:58,360 --> 00:11:01,640 Speaker 7: the Labor government that in the late nineties and early 194 00:11:01,679 --> 00:11:06,320 Speaker 7: two thousands massively ramped up illegal and legal migration into 195 00:11:06,360 --> 00:11:09,840 Speaker 7: the UK. He's actually one of the architects of this problem, 196 00:11:10,080 --> 00:11:12,280 Speaker 7: a problem which one of his colleagues at the time 197 00:11:12,400 --> 00:11:15,760 Speaker 7: described as being deliberate. See one of his colleagues said 198 00:11:15,800 --> 00:11:18,280 Speaker 7: he came out of meetings about this issue with a 199 00:11:18,360 --> 00:11:21,960 Speaker 7: very clear feeling that the Labor government of Tony Blair 200 00:11:22,120 --> 00:11:25,200 Speaker 7: wanted this mass movement of people into the UK to 201 00:11:25,400 --> 00:11:29,800 Speaker 7: quote rub the rights nose in diversity. Well, of course 202 00:11:29,800 --> 00:11:33,720 Speaker 7: all these things had unexpected consequences, but Alistair Campbell is 203 00:11:33,720 --> 00:11:37,000 Speaker 7: one of the people responsible for them. I'm only responsible 204 00:11:37,040 --> 00:11:40,240 Speaker 7: for pointing out the facts and the lamentable situation that 205 00:11:40,320 --> 00:11:42,760 Speaker 7: he got our country into. There's a couple of other 206 00:11:42,760 --> 00:11:46,280 Speaker 7: things very quickly, Rita. Of course, this man Campbell is 207 00:11:46,400 --> 00:11:52,400 Speaker 7: best known for his lying dossier about WMD in Iraq, 208 00:11:52,720 --> 00:11:56,000 Speaker 7: which helped bounce Britain and other countries into the Iraq War. 209 00:11:56,280 --> 00:11:58,679 Speaker 7: So if he had any kind of sense of decency, 210 00:11:58,679 --> 00:12:00,440 Speaker 7: he would have disappeared from public life for a long 211 00:12:00,480 --> 00:12:02,760 Speaker 7: time ago. He was, also, of course, a person who 212 00:12:02,800 --> 00:12:05,719 Speaker 7: hounded doctor David Kelly to suicide. And that's one of 213 00:12:05,760 --> 00:12:09,319 Speaker 7: the really interesting things about Alistair Campbell. He's an unbelievable 214 00:12:09,440 --> 00:12:12,920 Speaker 7: bully and a hack. And one of the things about him, 215 00:12:13,160 --> 00:12:16,560 Speaker 7: like most hacks and bullies of his kind, he thinks 216 00:12:16,840 --> 00:12:19,560 Speaker 7: that he can hide behind, as he always does, the 217 00:12:19,640 --> 00:12:23,079 Speaker 7: claim that he himself is very mentally fragile. One of 218 00:12:23,120 --> 00:12:25,560 Speaker 7: the interesting things about that is he can chase people 219 00:12:25,600 --> 00:12:29,000 Speaker 7: like David Kelly to suicide. But if you criticize Alistair 220 00:12:29,000 --> 00:12:33,000 Speaker 7: Campbell for his frequent bursts of utter insanity. He says 221 00:12:33,120 --> 00:12:35,960 Speaker 7: that you are using his mental health against him. He's 222 00:12:35,960 --> 00:12:39,839 Speaker 7: a totally sick individual on every possible level. I make 223 00:12:39,920 --> 00:12:43,080 Speaker 7: no apology for pointing out the terrible things that he 224 00:12:43,120 --> 00:12:44,840 Speaker 7: and his friends did to my country. 225 00:12:47,280 --> 00:12:50,240 Speaker 2: Well, your greatest crime appears to be that you were right. 226 00:12:50,679 --> 00:12:53,559 Speaker 2: You wrote about this years ago. You warned about what 227 00:12:53,600 --> 00:12:56,360 Speaker 2: was going to happen in the Strange Death of Europe. 228 00:12:56,440 --> 00:12:59,720 Speaker 2: You were right when you warned of the unrest that 229 00:12:59,720 --> 00:13:03,040 Speaker 2: would come in books like The Madness of Crowds and 230 00:13:03,040 --> 00:13:06,520 Speaker 2: The War against the West. And as the great Thomas 231 00:13:06,559 --> 00:13:09,520 Speaker 2: Sow wrote, people will forgive you for being wrong, but 232 00:13:09,600 --> 00:13:14,640 Speaker 2: they will never forgive you for being right. And what 233 00:13:14,679 --> 00:13:18,520 Speaker 2: you talked about that mass migration. We've got that discussion 234 00:13:18,520 --> 00:13:21,360 Speaker 2: happening right here in Australia. We've had record numbers coming 235 00:13:21,400 --> 00:13:25,800 Speaker 2: in legally. But if they're not assimilating, if they don't 236 00:13:25,840 --> 00:13:29,600 Speaker 2: share your values, as we've seen in the UK, you're 237 00:13:29,640 --> 00:13:33,160 Speaker 2: going to have these problems and just trying to stomp 238 00:13:33,200 --> 00:13:36,040 Speaker 2: it out with two tier policing and a justice system 239 00:13:36,080 --> 00:13:39,120 Speaker 2: Douglas isn't going to solve the underlying issue. 240 00:13:40,200 --> 00:13:43,600 Speaker 7: No, absolutely not. I mean, as I said for many 241 00:13:43,679 --> 00:13:48,680 Speaker 7: years the mass movement of people, often who dislike the 242 00:13:48,720 --> 00:13:51,480 Speaker 7: culture they're moving into intensely, and that always amazes me. 243 00:13:51,520 --> 00:13:54,120 Speaker 7: I don't understand why people would move to societies that 244 00:13:54,160 --> 00:13:56,760 Speaker 7: they dislike very much, but lots of numbers of people do, 245 00:13:56,920 --> 00:13:59,040 Speaker 7: mainly just because they want to be in a system 246 00:13:59,080 --> 00:14:02,120 Speaker 7: which can reward of them at least to some extent financially, 247 00:14:02,160 --> 00:14:05,800 Speaker 7: either through welfare or through the economy, that works far 248 00:14:05,840 --> 00:14:09,599 Speaker 7: better than the countries that they've fled from. But if 249 00:14:09,640 --> 00:14:12,160 Speaker 7: you bring people from very strong cultures, with very strong 250 00:14:12,200 --> 00:14:17,280 Speaker 7: ethnic identities and religious identities into countries are completely apologetic, 251 00:14:17,640 --> 00:14:22,640 Speaker 7: how toowed self shamed and embarrassed about their past, as 252 00:14:22,720 --> 00:14:24,640 Speaker 7: is the story that has been pushed on the people 253 00:14:24,640 --> 00:14:26,880 Speaker 7: of Australia in recent years, as has been the story 254 00:14:26,920 --> 00:14:29,240 Speaker 7: pushed on the people of Britain, Europe and America in 255 00:14:29,240 --> 00:14:31,880 Speaker 7: recent years. You don't have a hope of integrating people. 256 00:14:32,240 --> 00:14:37,080 Speaker 7: So yes, all of this stuff is absolutely predictable. It 257 00:14:37,120 --> 00:14:40,240 Speaker 7: doesn't require a profit. It just requires people with their 258 00:14:40,280 --> 00:14:42,760 Speaker 7: eyes open and a willingness to tell the truth. And 259 00:14:42,840 --> 00:14:45,360 Speaker 7: I hope that people do have their eyes open and 260 00:14:45,440 --> 00:14:47,880 Speaker 7: continue to tell the truth as I will, and I'm 261 00:14:47,920 --> 00:14:50,320 Speaker 7: not going to be intimidated by any of these people 262 00:14:50,360 --> 00:14:53,480 Speaker 7: who should have so much guilt on their consciences. I 263 00:14:53,520 --> 00:14:56,000 Speaker 7: would be surprised that they dare to show their faces 264 00:14:56,040 --> 00:14:56,840 Speaker 7: in public again. 265 00:14:59,320 --> 00:15:02,600 Speaker 2: Now, along with you, the other great enemy of the 266 00:15:02,720 --> 00:15:06,360 Speaker 2: left right now appears to be Elon Musk, particularly amongst 267 00:15:06,400 --> 00:15:09,000 Speaker 2: the political media activist class. 268 00:15:09,600 --> 00:15:10,120 Speaker 3: Look at this. 269 00:15:10,240 --> 00:15:13,520 Speaker 2: Deranged piece in the Guardian where else with the headline 270 00:15:13,960 --> 00:15:16,320 Speaker 2: you know who else should be on trial for the 271 00:15:16,480 --> 00:15:20,240 Speaker 2: UK's far right riots, Elon Musk? That was the headline, 272 00:15:20,280 --> 00:15:22,680 Speaker 2: and the piece goes on to call Musk one of 273 00:15:22,720 --> 00:15:27,600 Speaker 2: the world's most prolific enemies of truth. This assault against 274 00:15:27,600 --> 00:15:31,160 Speaker 2: free speech in the UK is really quite sinister and 275 00:15:31,200 --> 00:15:33,440 Speaker 2: I've got to say effective. Of course, it's not going 276 00:15:33,480 --> 00:15:36,800 Speaker 2: to silence the likes of Elon Musk, but the average 277 00:15:36,840 --> 00:15:41,440 Speaker 2: person may refrain from posting something on their Facebook page 278 00:15:41,480 --> 00:15:45,800 Speaker 2: when they see people being arrested for online posts for 279 00:15:45,920 --> 00:15:50,160 Speaker 2: things that are considered offensive, not just threatening or abusive, 280 00:15:50,280 --> 00:15:54,880 Speaker 2: but just offensive. It seems to be a line that 281 00:15:55,000 --> 00:15:55,920 Speaker 2: you can't cross. 282 00:15:56,920 --> 00:16:00,560 Speaker 7: Yeah, absolutely, including retweeting videos of things that have happened. 283 00:16:01,280 --> 00:16:03,480 Speaker 7: The interesting thing about Jonathan Friedland of the Garden He's 284 00:16:03,480 --> 00:16:05,880 Speaker 7: a very obscure figure. He's not at all known outside 285 00:16:05,880 --> 00:16:08,720 Speaker 7: of the small amount of the left wing in the UK. 286 00:16:09,800 --> 00:16:12,520 Speaker 7: But of course, to think that somebody like him would 287 00:16:12,560 --> 00:16:16,520 Speaker 7: have the audacity to claim that the British authority should 288 00:16:16,560 --> 00:16:20,600 Speaker 7: arrest an American citizen. I mean, I don't know if 289 00:16:20,680 --> 00:16:23,360 Speaker 7: Jonathan Friedland knows his history. I assume he does. He's 290 00:16:23,360 --> 00:16:26,720 Speaker 7: a relatively intelligent man, but he should know that America 291 00:16:27,200 --> 00:16:30,760 Speaker 7: fort quite significant war in order that American citizens would 292 00:16:30,760 --> 00:16:33,760 Speaker 7: not in fact be under the writ of British law. 293 00:16:34,240 --> 00:16:36,800 Speaker 7: And thank goodness, Elon Musku isn't, And thank goodness, he 294 00:16:36,920 --> 00:16:39,320 Speaker 7: has the guts to continue, like a number of the 295 00:16:39,360 --> 00:16:42,240 Speaker 7: rest of us, to say what is the truth. The 296 00:16:42,320 --> 00:16:44,200 Speaker 7: interesting thing, by the way, about two things to say 297 00:16:44,240 --> 00:16:46,960 Speaker 7: about Jonathan Friedland and this ridiculous piece. One is that 298 00:16:47,040 --> 00:16:49,960 Speaker 7: Jonathan Friedland actually, after noticing the success of the Da 299 00:16:50,000 --> 00:16:54,240 Speaker 7: Vinci Code and other sort of rather low boilerplate novels, 300 00:16:54,520 --> 00:16:58,000 Speaker 7: started writing novels himself under pseudonym, and one of them, 301 00:16:58,040 --> 00:17:02,000 Speaker 7: published in twenty seventeen, is an extended wet dream about 302 00:17:02,000 --> 00:17:06,680 Speaker 7: the idea of the assassination of President Trump. It's extremely open. 303 00:17:06,720 --> 00:17:09,040 Speaker 7: That's the only skill of the book such as it is, 304 00:17:09,040 --> 00:17:11,920 Speaker 7: is that it's an excitable book for people who would 305 00:17:11,920 --> 00:17:15,800 Speaker 7: have loved to see Donald Trump getting assassinated. On that principle, 306 00:17:15,840 --> 00:17:18,400 Speaker 7: of course, inmperhaps the American authorities you ought to ask 307 00:17:18,440 --> 00:17:22,760 Speaker 7: for the extradition of Jonathan Friedland writing a crappy genre 308 00:17:22,840 --> 00:17:28,080 Speaker 7: novel under a pseudonym in which he dreams of the 309 00:17:28,119 --> 00:17:31,160 Speaker 7: assassination of President Trump. Of course, it would be ridiculous 310 00:17:31,200 --> 00:17:33,960 Speaker 7: to do so, because nobody would read his book. But 311 00:17:34,240 --> 00:17:37,640 Speaker 7: the other thing to be said about these people is 312 00:17:37,680 --> 00:17:41,280 Speaker 7: that they just have this satalitarian authoritarian instinct which they 313 00:17:41,320 --> 00:17:44,480 Speaker 7: just can't get rid of. They think everything should always 314 00:17:44,560 --> 00:17:48,000 Speaker 7: go their way. They think they should be the censors 315 00:17:48,040 --> 00:17:51,000 Speaker 7: of the town square. And the reason why you see 316 00:17:51,480 --> 00:17:54,159 Speaker 7: so much of the media running against Elon Musk at 317 00:17:54,200 --> 00:17:57,919 Speaker 7: the moment is that they recognize that his platform Twitter 318 00:17:58,280 --> 00:18:01,520 Speaker 7: is beating all of them of them in all of 319 00:18:01,560 --> 00:18:05,000 Speaker 7: the stakes the media absorption around the world, and that's 320 00:18:05,160 --> 00:18:07,760 Speaker 7: very scary for some of these old media who can't 321 00:18:07,840 --> 00:18:10,480 Speaker 7: keep up and don't have very many readers, like The Guardian. 322 00:18:10,960 --> 00:18:12,840 Speaker 7: But you know, it is a very important thing you 323 00:18:12,920 --> 00:18:16,520 Speaker 7: mentioned their reader that in actual fact and Roan Atkinson 324 00:18:16,560 --> 00:18:19,720 Speaker 7: no less said that it's in a speech eleven years ago. 325 00:18:20,080 --> 00:18:24,360 Speaker 7: It's perfectly possible. You see that people like me, billionaires 326 00:18:24,400 --> 00:18:27,800 Speaker 7: like Elon Musk, will be able to get through this 327 00:18:27,960 --> 00:18:30,800 Speaker 7: era and will survive it. And I certainly plan to, 328 00:18:30,880 --> 00:18:33,080 Speaker 7: and I'm sure and know that Musk does as well. 329 00:18:33,200 --> 00:18:35,960 Speaker 7: But what about, as you say, the person who does 330 00:18:36,000 --> 00:18:38,600 Speaker 7: not have the platform that I have or the means 331 00:18:38,640 --> 00:18:41,800 Speaker 7: that Elon Musk has, What about them? When as is 332 00:18:41,840 --> 00:18:43,680 Speaker 7: happening all the time at the moment in the UK 333 00:18:44,119 --> 00:18:47,639 Speaker 7: police forces that have not solved one burglary, yes you 334 00:18:47,720 --> 00:18:51,679 Speaker 7: heard that right, not one burglary in recent years, and 335 00:18:51,760 --> 00:18:57,200 Speaker 7: knocking on people's doors and arresting them for Facebook posts, 336 00:18:57,240 --> 00:19:00,840 Speaker 7: for retweeting things. Sure, there is some people who've said 337 00:19:00,840 --> 00:19:04,760 Speaker 7: some horrible things and disgraceful things in recent weeks, but 338 00:19:05,280 --> 00:19:09,520 Speaker 7: oh my, the priorities of the British police, you know, 339 00:19:10,000 --> 00:19:14,439 Speaker 7: they are really treading into very very dangerous or Wellyan 340 00:19:14,520 --> 00:19:16,639 Speaker 7: waters I it turns out, and the rest of the 341 00:19:16,680 --> 00:19:19,359 Speaker 7: public in Britain can't trust them to solve a burglary. 342 00:19:19,640 --> 00:19:23,119 Speaker 7: Would I trust them to police my speech? No? I 343 00:19:23,160 --> 00:19:23,679 Speaker 7: don't think so. 344 00:19:26,080 --> 00:19:29,760 Speaker 2: No, No, And the treatment you're receiving the treatment Elon 345 00:19:29,880 --> 00:19:34,200 Speaker 2: Musk is receiving is what Donald Trump has been copying. 346 00:19:33,800 --> 00:19:35,119 Speaker 3: For some years now. 347 00:19:35,160 --> 00:19:38,280 Speaker 2: And he's a two hour chat with Elon Musk had 348 00:19:38,680 --> 00:19:42,119 Speaker 2: a lot of the media triggered. It did reach an 349 00:19:42,240 --> 00:19:46,080 Speaker 2: enormous audience despite having technical issues at the start. 350 00:19:46,359 --> 00:19:49,119 Speaker 3: But look at some of the media coverage we were 351 00:19:49,160 --> 00:19:49,600 Speaker 3: treated to. 352 00:19:49,720 --> 00:19:52,960 Speaker 2: This is from USA Today starts with this line for 353 00:19:53,040 --> 00:19:57,400 Speaker 2: a fascism curious billionaire who loves cuddling up to right 354 00:19:57,440 --> 00:20:00,560 Speaker 2: wing loons, I mean, and it got progressively worse from 355 00:20:00,640 --> 00:20:05,040 Speaker 2: the from their Douglas Trump's call the media the enemy 356 00:20:05,080 --> 00:20:08,440 Speaker 2: of the people, and sadly it seems there are many 357 00:20:08,480 --> 00:20:11,600 Speaker 2: in the industry who seem desperate to live up to 358 00:20:11,680 --> 00:20:12,359 Speaker 2: that tag. 359 00:20:14,320 --> 00:20:18,439 Speaker 7: These are just dying entities. I mean, USA Today is 360 00:20:18,480 --> 00:20:23,040 Speaker 7: such a failing newspapers. There's a spin as as a 361 00:20:23,160 --> 00:20:28,800 Speaker 7: loo role and it's just an unbelievable rag now and 362 00:20:28,920 --> 00:20:31,160 Speaker 7: almost no information in it unless you want to follow 363 00:20:31,200 --> 00:20:33,480 Speaker 7: the baseball, which lots of people do. But in terms 364 00:20:33,520 --> 00:20:36,840 Speaker 7: of news, it's just the worst possible way to absorb news. 365 00:20:37,320 --> 00:20:40,000 Speaker 7: But they just have an agenda and they just show 366 00:20:40,040 --> 00:20:44,120 Speaker 7: it more and more. They describe Elon Musk as a fascist. 367 00:20:44,359 --> 00:20:46,760 Speaker 7: They describe the former president of the United States. Maybe 368 00:20:46,800 --> 00:20:49,160 Speaker 7: the next president is a just just a right wing loon. 369 00:20:49,640 --> 00:20:52,000 Speaker 7: And you know, these these people you can just you 370 00:20:52,040 --> 00:20:55,400 Speaker 7: can write their headlines and their articles before the event occurs. 371 00:20:55,440 --> 00:20:57,760 Speaker 7: And I'm sure some of these people do. I bet 372 00:20:57,800 --> 00:21:00,840 Speaker 7: that guy decided to do that. And you know, of 373 00:21:00,880 --> 00:21:03,280 Speaker 7: course they don't point out that it seems, whatever your 374 00:21:03,280 --> 00:21:06,840 Speaker 7: criticisms of Donald Trump, he did this very lengthy conversation 375 00:21:07,000 --> 00:21:09,560 Speaker 7: with Elon Musk. It's rather more than we've seen from 376 00:21:09,600 --> 00:21:14,000 Speaker 7: Kamala Harris in recent weeks. But of course they don't 377 00:21:14,040 --> 00:21:18,200 Speaker 7: mention that. They don't note that because it's just the 378 00:21:18,280 --> 00:21:22,000 Speaker 7: backing chorus of the Democratic Party. That's all these these 379 00:21:22,400 --> 00:21:25,199 Speaker 7: dying media brands are. The public can see it for 380 00:21:25,240 --> 00:21:26,920 Speaker 7: what it's worth. And if you want a little bit 381 00:21:26,960 --> 00:21:30,359 Speaker 7: of dying left wing media commentary with your baseball results, 382 00:21:30,720 --> 00:21:33,240 Speaker 7: I suppose you can go to us A today. But 383 00:21:33,280 --> 00:21:35,199 Speaker 7: it turns out most of the world is going to 384 00:21:35,240 --> 00:21:36,080 Speaker 7: ex Twitter. 385 00:21:38,640 --> 00:21:44,119 Speaker 2: Well, the reach of that interview is astonishing, unlike really 386 00:21:44,680 --> 00:21:48,399 Speaker 2: anything you see elsewhere. Now one two, before you go play, 387 00:21:48,440 --> 00:21:51,800 Speaker 2: you a little clip from the Stephen Colbert Show featuring 388 00:21:51,920 --> 00:21:59,879 Speaker 2: CNN anchor Caitlin Collins. What is curious here or well please, 389 00:22:00,440 --> 00:22:04,880 Speaker 2: is the crowd reaction when Colbert makes this claim. 390 00:22:05,280 --> 00:22:07,879 Speaker 10: I know you guys are objective over there, that you 391 00:22:08,000 --> 00:22:09,439 Speaker 10: just report the news as it is. 392 00:22:10,119 --> 00:22:11,720 Speaker 3: Oh, I know a CNN makes it. 393 00:22:11,720 --> 00:22:13,360 Speaker 7: And they're not. That's supposed to be a live life 394 00:22:13,480 --> 00:22:16,239 Speaker 7: I wasn't supposed to be, but I guess it is. 395 00:22:17,840 --> 00:22:23,920 Speaker 2: Douglas even his leftist crowd just burst out laughing at 396 00:22:23,920 --> 00:22:27,080 Speaker 2: that claim that CNN just reports the news. They're just 397 00:22:27,119 --> 00:22:33,960 Speaker 2: straight down the line, unbiased, and this diminishing trust in institutions, 398 00:22:34,000 --> 00:22:40,040 Speaker 2: including the media, the police we've spoken about, and judiciary increasingly. 399 00:22:40,600 --> 00:22:42,760 Speaker 2: It's not healthy, but I think in a way it 400 00:22:42,840 --> 00:22:45,439 Speaker 2: is healthy that people are actually getting awareness of some 401 00:22:45,560 --> 00:22:47,280 Speaker 2: of the double standards that exist. 402 00:22:48,359 --> 00:22:52,080 Speaker 7: Oh yeah, absolutely. I mean this institutional distrust is as 403 00:22:52,080 --> 00:22:54,440 Speaker 7: I've said to you before, Rito, we've discussed this. It's 404 00:22:54,440 --> 00:22:57,280 Speaker 7: about the fact that the public can see through these institutions. 405 00:22:57,440 --> 00:23:00,399 Speaker 7: If a police force doesn't solve berg even go to 406 00:23:00,440 --> 00:23:02,320 Speaker 7: the scene of a crime, but it does go for 407 00:23:02,359 --> 00:23:03,600 Speaker 7: a Twitter x post. 408 00:23:03,880 --> 00:23:04,399 Speaker 6: You know, there's a. 409 00:23:04,400 --> 00:23:08,480 Speaker 7: Problem of priorities in the police force, likewise in the media. 410 00:23:09,160 --> 00:23:12,160 Speaker 7: When you see the coverage of things like CNN. It's 411 00:23:12,200 --> 00:23:15,320 Speaker 7: not just that it's biased in its stance. Not everything, 412 00:23:15,320 --> 00:23:18,160 Speaker 7: by the way, occasionally there's something on CNN that's relatively 413 00:23:18,200 --> 00:23:20,879 Speaker 7: good and relatively impartial. But the thing is, but what 414 00:23:20,920 --> 00:23:24,040 Speaker 7: they actually choose, they what gives it away time and 415 00:23:24,080 --> 00:23:28,479 Speaker 7: again is what they choose to focus on. They choose 416 00:23:28,520 --> 00:23:31,800 Speaker 7: to focus on things that boost the narrative that they have, 417 00:23:32,000 --> 00:23:35,119 Speaker 7: whether that's foreign policy, whether it's the war in Ukraine 418 00:23:35,280 --> 00:23:37,600 Speaker 7: or the war in Israel in Gaza, or whether it's 419 00:23:37,600 --> 00:23:41,320 Speaker 7: things domestically, whether it's just puffing up their candidate to 420 00:23:41,480 --> 00:23:46,000 Speaker 7: get her into office in November. And I was delighted 421 00:23:46,040 --> 00:23:48,200 Speaker 7: to see that. I mean, I don't I just can't 422 00:23:48,240 --> 00:23:50,920 Speaker 7: watch Stephen Colbert most of the time. Almost nobody does. 423 00:23:51,200 --> 00:23:53,399 Speaker 7: But I mean, you know, started off as a media 424 00:23:53,520 --> 00:23:57,240 Speaker 7: now he's just become one of these sermonizers, boring sermonizers 425 00:23:57,240 --> 00:23:59,479 Speaker 7: of the American left in what used to be late 426 00:23:59,600 --> 00:24:03,199 Speaker 7: night com swats. But it was wonderful to see that 427 00:24:03,280 --> 00:24:06,240 Speaker 7: his audience was wayser than he was and knew more 428 00:24:06,280 --> 00:24:08,840 Speaker 7: than he did, and laughed in the face of the 429 00:24:08,880 --> 00:24:13,000 Speaker 7: idea that CNN simply attempts to report the truth. 430 00:24:15,440 --> 00:24:15,639 Speaker 3: It was. 431 00:24:15,840 --> 00:24:18,439 Speaker 2: It was the best moment of the whole interview and 432 00:24:18,760 --> 00:24:22,239 Speaker 2: unintentionally funny. Douglas Murray, thank you so much for your 433 00:24:22,240 --> 00:24:23,200 Speaker 2: time this evening. 434 00:24:23,920 --> 00:24:25,320 Speaker 7: Great pleasures always, thank you. 435 00:24:26,000 --> 00:24:26,879 Speaker 3: Still to come. 436 00:24:26,960 --> 00:24:30,240 Speaker 2: It's a bumper edition of the Left Is Losing Ed 437 00:24:30,840 --> 00:24:45,680 Speaker 2: and some surprising data for Donald Trump. Welcome back. Now 438 00:24:45,720 --> 00:24:48,800 Speaker 2: it's time for Lefties Losing Ed. We're going to have 439 00:24:48,880 --> 00:24:52,520 Speaker 2: some stella carmala content for you shortly, but first a 440 00:24:52,600 --> 00:24:55,439 Speaker 2: trigger warning for all the sensitive souls out there. The 441 00:24:55,480 --> 00:24:59,280 Speaker 2: following clip we'll have Lefties Lose It. Here is Pastor 442 00:24:59,400 --> 00:25:03,000 Speaker 2: Gino j expressing his disdain for those who don't know 443 00:25:03,000 --> 00:25:06,960 Speaker 2: what a woman is, including President Joe Biden. 444 00:25:06,800 --> 00:25:09,359 Speaker 3: Remember him, he is apparently still president. 445 00:25:09,680 --> 00:25:13,159 Speaker 7: Congressman in Congress trying to find what a woman is? 446 00:25:13,600 --> 00:25:17,080 Speaker 7: What is a woman? It's your mama? Make sure dat 447 00:25:17,359 --> 00:25:18,920 Speaker 7: what's a woman? Your mama? 448 00:25:19,040 --> 00:25:26,880 Speaker 11: President by joining in on a conversation, is a woman? 449 00:25:27,040 --> 00:25:27,600 Speaker 7: Is your mother? 450 00:25:28,400 --> 00:25:29,399 Speaker 5: Man's past eighty? 451 00:25:29,480 --> 00:25:29,840 Speaker 1: Isn't it? 452 00:25:30,240 --> 00:25:32,080 Speaker 7: You mean her? Tell me you past eighty? 453 00:25:32,480 --> 00:25:34,720 Speaker 3: You don't know your your mama and your. 454 00:25:34,600 --> 00:25:35,959 Speaker 7: Wife is a woman. 455 00:25:36,880 --> 00:25:39,440 Speaker 3: Hallelujah. Now here is a woman who. 456 00:25:39,320 --> 00:25:41,800 Speaker 2: Should be listening to the good pastor, because I can 457 00:25:41,840 --> 00:25:44,480 Speaker 2: guarantee you she won't be able to answer the question 458 00:25:44,600 --> 00:25:48,120 Speaker 2: what is a woman. Let's hear from Delta Airlines top 459 00:25:48,240 --> 00:25:52,440 Speaker 2: d I officer that's diversity, equity and inclusion and her 460 00:25:52,520 --> 00:25:56,560 Speaker 2: plan to make air travel more woke and gender inclusive. 461 00:25:57,200 --> 00:25:59,359 Speaker 6: Then we're beginning to take a hard look at things 462 00:25:59,440 --> 00:26:03,160 Speaker 6: like our health announcements. You know, we welcome ladies and gentlemen, 463 00:26:03,240 --> 00:26:05,600 Speaker 6: and we've asked ourselves as that as gender inclusive as 464 00:26:05,600 --> 00:26:07,760 Speaker 6: we want to be. You know, we're looking at some 465 00:26:07,880 --> 00:26:10,920 Speaker 6: legacy language that exists in some of our employee manuals 466 00:26:11,240 --> 00:26:13,040 Speaker 6: and getting to the root of the way some things 467 00:26:13,080 --> 00:26:13,840 Speaker 6: are described. 468 00:26:13,960 --> 00:26:16,920 Speaker 2: Now let's go to the UK and the so called 469 00:26:17,040 --> 00:26:18,840 Speaker 2: anti racism protest. 470 00:26:19,119 --> 00:26:20,720 Speaker 3: That's not what they actually are. 471 00:26:20,760 --> 00:26:24,840 Speaker 2: And some of those attending cannot even distinguish between illegal 472 00:26:24,960 --> 00:26:29,399 Speaker 2: or legal migration or what taxpayer money is being spent on. 473 00:26:29,600 --> 00:26:33,560 Speaker 2: Listen to this young virtue signaling ignoramous is. 474 00:26:33,480 --> 00:26:35,480 Speaker 1: The anti immigration or illegal immigration? 475 00:26:35,560 --> 00:26:37,520 Speaker 8: What do you say, I don't think anybody's illegal. 476 00:26:39,000 --> 00:26:39,680 Speaker 7: I hear this a lot. 477 00:26:39,720 --> 00:26:44,200 Speaker 5: What means refugee is not illegal because people aren't illegal, of. 478 00:26:44,080 --> 00:26:46,440 Speaker 2: Course, but when they come into the country about passports, 479 00:26:46,440 --> 00:26:48,360 Speaker 2: what can you do about that? 480 00:26:48,720 --> 00:26:51,680 Speaker 5: We can welcome them in their refugees, their asylums. 481 00:26:51,680 --> 00:26:53,119 Speaker 3: So because they're fleeing persecution. 482 00:26:53,840 --> 00:26:55,480 Speaker 10: And how do you feel about the tax payer having 483 00:26:55,480 --> 00:26:56,240 Speaker 10: to pay for that? 484 00:26:56,800 --> 00:26:57,959 Speaker 7: The taxpay doesn't pay for that. 485 00:26:58,720 --> 00:27:03,280 Speaker 5: Answering a question, The tax pay doesn't pay for league immigrants. 486 00:27:03,440 --> 00:27:07,640 Speaker 2: Now, times are hard and inflation is biting. But if 487 00:27:07,680 --> 00:27:10,600 Speaker 2: you rely on tips for your income, perhaps don't be 488 00:27:10,680 --> 00:27:12,880 Speaker 2: an entitled prat like this. 489 00:27:12,960 --> 00:27:19,960 Speaker 3: Next dude, thank you. I just want to say, it's 490 00:27:20,000 --> 00:27:20,680 Speaker 3: a nice house. 491 00:27:20,720 --> 00:27:23,720 Speaker 6: For a five dollars tip, you are. 492 00:27:26,200 --> 00:27:29,439 Speaker 3: It looked like it was delivering one pizza there. How 493 00:27:29,480 --> 00:27:31,280 Speaker 3: much of a tip did he expect? 494 00:27:31,720 --> 00:27:35,679 Speaker 2: Now, talking about entitled young men, these two mysscreens really 495 00:27:35,720 --> 00:27:40,639 Speaker 2: are deplorable watches. They laugh when court vandalizing a shop 496 00:27:40,720 --> 00:27:44,440 Speaker 2: owner's outdoor space, even as he tells them how much 497 00:27:44,480 --> 00:27:45,440 Speaker 2: it costs him. 498 00:27:45,960 --> 00:27:47,040 Speaker 12: Are you serious, man? 499 00:27:49,600 --> 00:27:49,800 Speaker 1: Man? 500 00:27:49,840 --> 00:27:50,560 Speaker 3: Are you serious? 501 00:27:52,119 --> 00:27:58,160 Speaker 10: I paid sixteen care for this whole place to set. 502 00:28:01,000 --> 00:28:04,439 Speaker 10: It's twenty five thousand dollars. Fine, So I go forward 503 00:28:04,480 --> 00:28:07,480 Speaker 10: this video to the cops and see what they're gonna do. 504 00:28:07,520 --> 00:28:10,880 Speaker 2: They have absolutely no fear of the police there or 505 00:28:10,920 --> 00:28:13,880 Speaker 2: the fact that they are on camera committing crimes. 506 00:28:13,920 --> 00:28:17,200 Speaker 3: I mean, is vandalism still a crime in Blue States? 507 00:28:17,800 --> 00:28:20,880 Speaker 2: Now to a regular on this segment, and frankly, I've 508 00:28:20,920 --> 00:28:21,400 Speaker 2: missed her. 509 00:28:21,600 --> 00:28:24,320 Speaker 3: She may no longer be on the view, but. 510 00:28:24,200 --> 00:28:27,800 Speaker 2: She keeps bringing the goods, and her Trump derangement syndrome 511 00:28:27,880 --> 00:28:30,360 Speaker 2: shows no signs of improvement. 512 00:28:30,480 --> 00:28:31,960 Speaker 3: Here is Rosie O'Donnell. 513 00:28:33,440 --> 00:28:38,360 Speaker 12: Are you watching this moron speak? Can he form a 514 00:28:38,440 --> 00:28:44,880 Speaker 12: coherent sentence? He is the worst thing that ever happened, period, 515 00:28:45,720 --> 00:28:49,440 Speaker 12: and he's just babbling like an incoherent He's. 516 00:28:49,360 --> 00:28:52,120 Speaker 3: Like doctor Doom. He's the worst thing. 517 00:28:52,920 --> 00:28:56,840 Speaker 2: Now to another lefty celebrity losing it. Here is how 518 00:28:57,040 --> 00:29:09,280 Speaker 2: Lebron James treats a young fan. 519 00:29:01,720 --> 00:29:02,200 Speaker 7: I'll do that. 520 00:29:11,440 --> 00:29:14,800 Speaker 3: Awful awful. He ain't no Jordan, that's for sure. He's 521 00:29:14,880 --> 00:29:15,800 Speaker 3: more the male. 522 00:29:16,120 --> 00:29:19,680 Speaker 2: Meghan Rapperno remember her, I've missed her too. Here she 523 00:29:19,800 --> 00:29:23,520 Speaker 2: is at Seattle's Pride parade, refusing to answer a very 524 00:29:23,560 --> 00:29:24,240 Speaker 2: simple question. 525 00:29:24,520 --> 00:29:28,160 Speaker 13: You're US women's soccer team famously lost to high school boys. 526 00:29:28,240 --> 00:29:30,440 Speaker 13: You really think it's fair for these same boys to 527 00:29:30,520 --> 00:29:37,000 Speaker 13: be competing in girls sports? Why should trans people compete 528 00:29:37,040 --> 00:29:39,120 Speaker 13: against young girls? 529 00:29:39,640 --> 00:29:41,320 Speaker 3: Do you know I think that they're going to get hurt. 530 00:29:42,800 --> 00:29:43,680 Speaker 3: Are they gonna get her? 531 00:29:44,280 --> 00:29:44,440 Speaker 12: Oh? 532 00:29:44,600 --> 00:29:47,320 Speaker 2: How clever to take a drink so she doesn't have 533 00:29:47,400 --> 00:29:50,720 Speaker 2: to answer. Yes, Meghan supports trans women. I am men 534 00:29:51,280 --> 00:29:55,360 Speaker 2: competing against women, even though an under fifteen boys squad 535 00:29:55,480 --> 00:29:57,760 Speaker 2: smashed the national team. 536 00:29:58,080 --> 00:30:01,840 Speaker 3: Now let's have some Kamala action. And she really is. 537 00:30:01,840 --> 00:30:07,640 Speaker 2: An intellectual, a leader of rare ability and courage and principle. 538 00:30:08,280 --> 00:30:09,280 Speaker 3: So much principle. 539 00:30:10,280 --> 00:30:13,520 Speaker 12: I'm gonna get mad when we have an Attorney general 540 00:30:13,520 --> 00:30:16,440 Speaker 12: who is trying to resuscitate the war on drugs? 541 00:30:16,600 --> 00:30:17,440 Speaker 3: Yes, can we talk? 542 00:30:17,600 --> 00:30:20,000 Speaker 12: And he thinks the greatest evil that mankind has ever 543 00:30:20,040 --> 00:30:24,360 Speaker 12: seen is marijuana. It's like I've said this and you've 544 00:30:24,360 --> 00:30:28,320 Speaker 12: seen this in my emails. Leave Grandma's medical marijuana alone. 545 00:30:31,400 --> 00:30:37,040 Speaker 2: So this is the same woman who convicted almost two 546 00:30:37,240 --> 00:30:41,440 Speaker 2: thousand people for marijuana violations and send many of them 547 00:30:41,520 --> 00:30:42,320 Speaker 2: to prison. 548 00:30:42,920 --> 00:30:46,160 Speaker 3: Did she think no one would remember that? Well, the 549 00:30:46,320 --> 00:30:48,080 Speaker 3: bulk of the American. 550 00:30:47,640 --> 00:30:52,560 Speaker 2: Media has forgotten, and Kamala herself seems to have a 551 00:30:52,560 --> 00:30:53,840 Speaker 2: a few memory issues. 552 00:30:54,840 --> 00:30:59,760 Speaker 3: How dare we speak? Merry Christmas? How dare we merry Christmas? 553 00:31:00,000 --> 00:31:01,560 Speaker 4: Everyone? 554 00:31:01,800 --> 00:31:05,920 Speaker 2: And the Vice President seems to think that one pumps 555 00:31:06,080 --> 00:31:10,200 Speaker 2: electricity into an ev an electric vehicle like you pump 556 00:31:10,280 --> 00:31:12,600 Speaker 2: gas into a regular car. 557 00:31:12,960 --> 00:31:17,400 Speaker 3: Watch this hilarity. And there's no sound or film. 558 00:31:17,720 --> 00:31:19,000 Speaker 14: There is nothing. 559 00:31:21,200 --> 00:31:22,240 Speaker 11: I used to every. 560 00:31:22,160 --> 00:31:23,680 Speaker 3: Morning filling our tents. 561 00:31:24,400 --> 00:31:27,000 Speaker 11: You usually can smell it, and you can hear it. 562 00:31:27,080 --> 00:31:29,800 Speaker 3: You can hear the guzzling sound, none of that. 563 00:31:30,400 --> 00:31:31,720 Speaker 8: So how do I know it's actually working? 564 00:31:34,080 --> 00:31:36,920 Speaker 2: I wonder how many hours she would stand there just 565 00:31:37,120 --> 00:31:41,080 Speaker 2: holding the bowser. And let's now go to a non 566 00:31:41,240 --> 00:31:44,840 Speaker 2: binary dog. Watch this and try to figure out if 567 00:31:44,840 --> 00:31:49,040 Speaker 2: the owner is serious or mocking the painfully woke. 568 00:31:50,040 --> 00:31:53,040 Speaker 3: I'd like to think it's the latter. Oh my god, 569 00:31:53,080 --> 00:31:55,120 Speaker 3: your dog is so cute? Can you pet her? 570 00:31:55,600 --> 00:31:56,280 Speaker 12: Oh? 571 00:31:56,520 --> 00:31:59,680 Speaker 11: Day is actually non binary, but you can pet if 572 00:31:59,720 --> 00:32:01,080 Speaker 11: you guess. 573 00:32:01,240 --> 00:32:03,320 Speaker 6: It's really not againing misgender dogs. 574 00:32:03,640 --> 00:32:07,240 Speaker 2: And let's end lefties this week with this classic bit 575 00:32:07,280 --> 00:32:10,840 Speaker 2: of comedy from Stephen Hughes about being offended. 576 00:32:11,520 --> 00:32:13,120 Speaker 3: This never gets old. 577 00:32:13,600 --> 00:32:15,400 Speaker 14: Having a live in democracy, but I never want to 578 00:32:15,400 --> 00:32:19,240 Speaker 14: be offended again. Well, you're an idiot. 579 00:32:22,160 --> 00:32:24,080 Speaker 7: How do you make a law about offending people? 580 00:32:24,160 --> 00:32:26,480 Speaker 14: How do you make an offense to offend people? Being 581 00:32:26,520 --> 00:32:28,920 Speaker 14: offended is subjective? How has everything to do with you 582 00:32:29,000 --> 00:32:31,200 Speaker 14: as an individual or a collective or a group or 583 00:32:31,200 --> 00:32:34,880 Speaker 14: a society or a community, your moral conditioning, your religious beliefs. 584 00:32:34,960 --> 00:32:37,080 Speaker 14: What offends me may not offend you, and you want 585 00:32:37,080 --> 00:32:39,320 Speaker 14: to make laws about this. I'm offended when I see 586 00:32:39,360 --> 00:32:45,080 Speaker 14: boy bands, For God's sake, it's a val offense of offended. 587 00:32:46,240 --> 00:32:49,800 Speaker 14: The corporate shills posing his musicians to further a modeling career, 588 00:32:49,840 --> 00:32:53,920 Speaker 14: and frankly, I'm disgusted. But what am I going to do? 589 00:32:54,040 --> 00:32:55,920 Speaker 7: Call the cops? Hello, it's May again. 590 00:33:00,040 --> 00:33:01,360 Speaker 14: They're on the telly this time. 591 00:33:04,920 --> 00:33:05,440 Speaker 7: Five of them. 592 00:33:05,520 --> 00:33:05,920 Speaker 1: That's it. 593 00:33:07,560 --> 00:33:09,479 Speaker 7: Yeah, white suits dancing like girls. 594 00:33:09,520 --> 00:33:13,400 Speaker 14: That's them. Five minutes, I'll be out the front, traumatized. 595 00:33:13,440 --> 00:33:17,480 Speaker 3: By now, we'll be looking at more. 596 00:33:17,560 --> 00:33:20,600 Speaker 2: Left is losing it content with my next guest Guy 597 00:33:20,640 --> 00:33:22,880 Speaker 2: news contributor Kosher, geta Kosher. 598 00:33:22,960 --> 00:33:24,080 Speaker 3: Let's start with. 599 00:33:24,280 --> 00:33:29,280 Speaker 2: CNN, and they're typically anti Trump content, but there was 600 00:33:29,320 --> 00:33:33,800 Speaker 2: a dose of reality in amongst that TDS and it 601 00:33:33,880 --> 00:33:38,720 Speaker 2: came from an unlikely source. Polster Frank Luntzu's no Trump fan, 602 00:33:38,840 --> 00:33:43,520 Speaker 2: but he can't hide this trend. This data is remarkable. 603 00:33:43,960 --> 00:33:47,040 Speaker 15: But I assure you that Donald Trump is doing better 604 00:33:47,360 --> 00:33:51,520 Speaker 15: among the average union member, not teachers unions and not 605 00:33:51,640 --> 00:33:54,480 Speaker 15: the unions for government, but everybody else. The trades people 606 00:33:54,520 --> 00:33:57,400 Speaker 15: work in their hands. He's doing better among them than 607 00:33:57,480 --> 00:34:01,000 Speaker 15: any Republican has done in decades. This is not going 608 00:34:01,080 --> 00:34:04,440 Speaker 15: to be a problem for him. The union leadership is 609 00:34:04,440 --> 00:34:08,200 Speaker 15: more divided from their membership, and the louder that it gets, 610 00:34:08,480 --> 00:34:10,480 Speaker 15: the greater the divides are going to come in and 611 00:34:10,520 --> 00:34:13,960 Speaker 15: my focus groups. And this is remarkable to me. The 612 00:34:14,160 --> 00:34:17,920 Speaker 15: union membership says they don't speak for me. And I've 613 00:34:17,920 --> 00:34:20,799 Speaker 15: been doing this now since nineteen I hate to say this, 614 00:34:20,920 --> 00:34:25,480 Speaker 15: eighty nine, nineteen ninety. I've never had union people publicly 615 00:34:25,560 --> 00:34:27,480 Speaker 15: say they don't speak for me. 616 00:34:27,640 --> 00:34:30,759 Speaker 2: Kosher, that was sobering news for the panel. What do 617 00:34:30,800 --> 00:34:31,920 Speaker 2: you make of those insights? 618 00:34:32,120 --> 00:34:34,840 Speaker 8: That's probably the best news Trump has received in the 619 00:34:34,920 --> 00:34:36,719 Speaker 8: last two weeks, where there's been a lot of discussion 620 00:34:36,760 --> 00:34:38,960 Speaker 8: about the era coming out of the balloon as the 621 00:34:39,000 --> 00:34:41,840 Speaker 8: race resets. For Kamala Harris, the key for him is 622 00:34:42,080 --> 00:34:45,400 Speaker 8: the working class and that comment about the treaties to 623 00:34:45,520 --> 00:34:48,000 Speaker 8: the Australian parlance, you know, goes straight to that he 624 00:34:48,040 --> 00:34:51,480 Speaker 8: won them by some remarkable margin in twenty sixteen. I 625 00:34:51,480 --> 00:34:53,640 Speaker 8: think it was thirty six points highest ever in history 626 00:34:53,680 --> 00:34:55,440 Speaker 8: that group. He lost a little bit of that in 627 00:34:55,520 --> 00:34:58,120 Speaker 8: twenty twenty, but still had a huge margin. And right 628 00:34:58,160 --> 00:35:00,479 Speaker 8: now some pools are saying that Kamala Herra, who's actually 629 00:35:00,520 --> 00:35:02,520 Speaker 8: really shrunk that margin for him even more and that 630 00:35:02,680 --> 00:35:04,719 Speaker 8: is the key to his victory. So if true, and 631 00:35:04,719 --> 00:35:06,960 Speaker 8: if you can continue to build on that, that is 632 00:35:07,000 --> 00:35:09,160 Speaker 8: going to be what is on his path to two 633 00:35:09,200 --> 00:35:11,600 Speaker 8: seventy and it was I think, so I'll bring news 634 00:35:11,640 --> 00:35:13,000 Speaker 8: as a result of that fabersion and. 635 00:35:13,040 --> 00:35:16,680 Speaker 2: Panel and very interesting to that divide between the average 636 00:35:16,800 --> 00:35:20,240 Speaker 2: union member and their leadership. And you wonder how sustainable 637 00:35:20,320 --> 00:35:23,239 Speaker 2: that model is where you're paying your dues to people 638 00:35:23,239 --> 00:35:26,160 Speaker 2: who really are not representing your interest and don't like you, 639 00:35:26,440 --> 00:35:30,040 Speaker 2: and don't like you but like union members. Trump is 640 00:35:30,080 --> 00:35:35,120 Speaker 2: also enjoying a level of support from Hispanic voters Republicans 641 00:35:35,120 --> 00:35:36,240 Speaker 2: that seldom. 642 00:35:35,880 --> 00:35:36,920 Speaker 3: See you've ever seen. 643 00:35:37,280 --> 00:35:42,239 Speaker 2: The latest ge pole, the National g poll commissioned by 644 00:35:42,440 --> 00:35:45,800 Speaker 2: Fox News shows that Trump is leading Kamala but just 645 00:35:46,000 --> 00:35:49,879 Speaker 2: one percent amongst the national vote, But when you look 646 00:35:49,880 --> 00:35:53,760 Speaker 2: at the Hispanic voters, the lead is six percent, fifty 647 00:35:53,840 --> 00:35:58,360 Speaker 2: two to forty six against something back in twenty and sixteen. 648 00:35:58,400 --> 00:36:00,440 Speaker 2: If you suggested this, he'd. 649 00:36:00,239 --> 00:36:02,240 Speaker 3: Be thrown into some sort of an asylum Kosher. 650 00:36:02,960 --> 00:36:05,520 Speaker 8: The Hispanic vote is really interesting because it's the fastest 651 00:36:05,520 --> 00:36:09,279 Speaker 8: growing demographic in the US and Trump has made in 652 00:36:09,360 --> 00:36:11,600 Speaker 8: roads with them. I think Bush actually did quite well 653 00:36:11,640 --> 00:36:13,920 Speaker 8: with them, maybe surprising to many, and then after that 654 00:36:13,960 --> 00:36:17,560 Speaker 8: Republicans don't do that well. Trump did. He raised and 655 00:36:17,560 --> 00:36:20,280 Speaker 8: grew his support with them in twenty twenty versus twenty sixteen. 656 00:36:20,680 --> 00:36:23,640 Speaker 8: And if that trend holds, given that group is growing 657 00:36:23,800 --> 00:36:26,080 Speaker 8: and they are in some of those battleground states, there 658 00:36:26,080 --> 00:36:29,440 Speaker 8: are certainly pockets of them, it could be quite interesting. 659 00:36:29,480 --> 00:36:31,400 Speaker 8: I think, you know it as policies on the economy 660 00:36:31,400 --> 00:36:32,560 Speaker 8: and all of that. A lot of them are small 661 00:36:32,600 --> 00:36:36,360 Speaker 8: business owners, and that resonates with them. Also, it's a personality, 662 00:36:36,480 --> 00:36:39,120 Speaker 8: sort of that machismo aspect of the Trump personality I 663 00:36:39,120 --> 00:36:41,080 Speaker 8: think resonates a lot certainly with Hispanic men. 664 00:36:41,239 --> 00:36:44,800 Speaker 2: And I think also when it comes to the culture wars, 665 00:36:44,920 --> 00:36:50,120 Speaker 2: because that demographic tends to be socially conservative. They do 666 00:36:50,239 --> 00:36:55,320 Speaker 2: not like all this pronoun indoctrination in schools, all the 667 00:36:56,520 --> 00:37:00,000 Speaker 2: extremes that elements of the left, particularly in the Democrats, 668 00:37:00,120 --> 00:37:02,000 Speaker 2: have gone. I think that would be leaving a lot 669 00:37:02,040 --> 00:37:05,040 Speaker 2: of them uncomfortable, and not just Hispanic voters, but a 670 00:37:05,080 --> 00:37:08,160 Speaker 2: lot of other migrant groups. And this is something again 671 00:37:08,200 --> 00:37:11,640 Speaker 2: the left, the media activist don't seem to understand. There's 672 00:37:11,680 --> 00:37:16,759 Speaker 2: a marked difference between legal migrants and illegal immigrants, and 673 00:37:16,840 --> 00:37:20,480 Speaker 2: legal migrants are often the ones who are most vehemently 674 00:37:20,560 --> 00:37:21,680 Speaker 2: against illegal. 675 00:37:21,360 --> 00:37:24,799 Speaker 8: Immigration, absolutely because they know what it's like to have 676 00:37:24,840 --> 00:37:26,520 Speaker 8: gotten in and what a gift it is to come 677 00:37:26,560 --> 00:37:28,560 Speaker 8: from the countries that they come from and to be 678 00:37:28,640 --> 00:37:31,080 Speaker 8: in here. And they're probably even more offended I think 679 00:37:31,160 --> 00:37:33,280 Speaker 8: by others from where they come from, cutting the line 680 00:37:33,320 --> 00:37:35,040 Speaker 8: and crossing aver legally. 681 00:37:34,920 --> 00:37:37,560 Speaker 2: Especially if they don't have those shared values, that don't 682 00:37:37,560 --> 00:37:41,080 Speaker 2: have the work ethic. Perhaps that's I think all part 683 00:37:41,120 --> 00:37:44,400 Speaker 2: of it. Now, let's talk about the economic credentials of 684 00:37:44,560 --> 00:37:49,240 Speaker 2: Kamala Harris's VP pick. A prominent business leader and Shark 685 00:37:49,280 --> 00:37:53,399 Speaker 2: Tank host Kevin O'Leary has slammed Team Walls's record as 686 00:37:53,600 --> 00:37:55,280 Speaker 2: governor of Minnesota. 687 00:37:55,880 --> 00:37:58,120 Speaker 10: I'm looking at the track record of an individual came 688 00:37:58,160 --> 00:38:00,719 Speaker 10: into a state and wiped out job creation. He wiped 689 00:38:00,719 --> 00:38:04,759 Speaker 10: out job creation in professional in manufacturing, in accounting, in 690 00:38:04,840 --> 00:38:07,319 Speaker 10: every subcategory. You look at those jobs moved to South 691 00:38:07,360 --> 00:38:10,799 Speaker 10: Dakota and North Dakota the South Dakota job rate right 692 00:38:10,840 --> 00:38:14,879 Speaker 10: now is four times that of Minnesota, and Minnesota only 693 00:38:14,920 --> 00:38:17,760 Speaker 10: creates jobs in services that are funded by the government 694 00:38:17,800 --> 00:38:21,040 Speaker 10: healthcare and social services. Every other sector is in decline. 695 00:38:21,120 --> 00:38:23,800 Speaker 10: He's also added a surcharge of one percent one hundred 696 00:38:23,800 --> 00:38:26,719 Speaker 10: basis points on top of nine point eight percent taxes 697 00:38:26,840 --> 00:38:29,440 Speaker 10: on individuals that are retiring, and of course they're leaving 698 00:38:29,440 --> 00:38:31,320 Speaker 10: the state in drones kosher. 699 00:38:31,520 --> 00:38:34,960 Speaker 2: That seems to be true for many leftist governments, including 700 00:38:35,000 --> 00:38:38,680 Speaker 2: right here in Australia, particularly here in Victoria, the job's 701 00:38:38,840 --> 00:38:43,800 Speaker 2: growth tend to be taxpayer funded jobs whilst businesses are fleeing. 702 00:38:43,840 --> 00:38:47,640 Speaker 2: And that data comparing North and South Dakota to Minnesota 703 00:38:47,719 --> 00:38:48,480 Speaker 2: is very interesting. 704 00:38:48,760 --> 00:38:51,720 Speaker 8: It is, and indeed some would say that's by design 705 00:38:51,880 --> 00:38:54,719 Speaker 8: with left leaning governments and not by defect, because it 706 00:38:54,719 --> 00:38:56,320 Speaker 8: shures up their power structure if you have more and 707 00:38:56,360 --> 00:38:59,440 Speaker 8: more people dependent on the government, including for their jobs. 708 00:39:00,040 --> 00:39:01,840 Speaker 8: The thing that the US has, it's really built in 709 00:39:01,840 --> 00:39:04,600 Speaker 8: structural advantage that is lust. So here is it has 710 00:39:04,640 --> 00:39:08,200 Speaker 8: fifty stats, so there's more of that option for mobility 711 00:39:08,200 --> 00:39:12,239 Speaker 8: interestate mobility than there is given Australia structure. And you 712 00:39:12,320 --> 00:39:14,239 Speaker 8: see that where Minnesota, I think is in the top 713 00:39:14,280 --> 00:39:18,160 Speaker 8: fifteen states without flowing migration people fleeing, So New York 714 00:39:18,200 --> 00:39:20,920 Speaker 8: California are at the top top and Minnesota is just 715 00:39:20,960 --> 00:39:24,200 Speaker 8: as that mentions, and it definitely accelerated under his watch 716 00:39:24,239 --> 00:39:26,600 Speaker 8: for a lot of his policies, economic, COVID and everything else. 717 00:39:26,640 --> 00:39:28,640 Speaker 8: So I think that's a point that the other team 718 00:39:28,680 --> 00:39:29,520 Speaker 8: should keep heading on. 719 00:39:30,000 --> 00:39:32,400 Speaker 2: And they think it's a coincidence that many of the 720 00:39:33,600 --> 00:39:37,600 Speaker 2: top ten states that citizens are fleeing from tend to 721 00:39:37,640 --> 00:39:40,400 Speaker 2: be blue and the ones they go to tend to 722 00:39:40,400 --> 00:39:44,800 Speaker 2: be red. Florida, Texas, Tennessee one of the biggest beneficiaries 723 00:39:44,840 --> 00:39:50,680 Speaker 2: of that domestic migration. And you mentioned New York, California, Minnesota. 724 00:39:51,040 --> 00:39:53,320 Speaker 2: Now let's talk a little bit more about Tim Walls 725 00:39:53,400 --> 00:39:57,760 Speaker 2: is also under fire for a massive COVID nineteen fraud 726 00:39:57,800 --> 00:40:00,600 Speaker 2: that happened under his watch as minnesot So to governor. 727 00:40:00,640 --> 00:40:02,880 Speaker 2: More than two hundred and fifty million dollars of federal 728 00:40:02,880 --> 00:40:06,560 Speaker 2: money was defrauded, and it was one of the largest 729 00:40:06,600 --> 00:40:10,560 Speaker 2: pandemic era fraud schemes anywhere in the US. The alleged 730 00:40:10,600 --> 00:40:16,080 Speaker 2: perpetrators used a Minnesota based nonprofit organization called Feeding Our future, 731 00:40:16,239 --> 00:40:19,600 Speaker 2: which the Minnesota Department of Education was supposed. 732 00:40:19,239 --> 00:40:20,000 Speaker 3: To be overseeing. 733 00:40:20,040 --> 00:40:22,759 Speaker 2: They did a very poor job of that overseeing. It 734 00:40:22,840 --> 00:40:26,680 Speaker 2: said astonishing that this went on for so long on 735 00:40:26,719 --> 00:40:31,759 Speaker 2: such a grand scale without it being nipped in the barge. 736 00:40:31,400 --> 00:40:32,919 Speaker 3: And you looked at the details. 737 00:40:33,880 --> 00:40:36,879 Speaker 2: It wasn't a particularly sophisticated program. You would have thought 738 00:40:36,920 --> 00:40:38,160 Speaker 2: it would have been spotted early. 739 00:40:38,800 --> 00:40:40,520 Speaker 8: Yes, I think you know. It goes to just wonder 740 00:40:40,560 --> 00:40:42,920 Speaker 8: as much money slashing around as there was, especially in 741 00:40:42,960 --> 00:40:46,239 Speaker 8: the week of COVID, and there's no accountability with these 742 00:40:46,280 --> 00:40:50,000 Speaker 8: blooded organizations. Things that shouldn't slip through the cracks do 743 00:40:50,160 --> 00:40:52,000 Speaker 8: or people look the other way, or they're hamstrung, or 744 00:40:52,040 --> 00:40:55,239 Speaker 8: what other reasons are. Politically, I'm not sure this one 745 00:40:55,280 --> 00:40:58,279 Speaker 8: will land as potently against Waltz as others, because it's 746 00:40:58,320 --> 00:41:02,080 Speaker 8: more of an indirect indatementleadership in overall, he was overseeing 747 00:41:02,120 --> 00:41:03,640 Speaker 8: the stage, but he wasn't in the nitty gritty of 748 00:41:03,640 --> 00:41:07,080 Speaker 8: this particular thing. There are far more other direct indictments 749 00:41:07,080 --> 00:41:09,640 Speaker 8: of him, as we just discussed the mass exodus people 750 00:41:09,719 --> 00:41:12,560 Speaker 8: leaving Minnesota and his policies on various issues. 751 00:41:12,320 --> 00:41:16,160 Speaker 2: Well, putting tampons in boys' restrooms, you've got the stolen 752 00:41:16,280 --> 00:41:20,279 Speaker 2: valor our shoe, we've got him talking up socialism as 753 00:41:20,280 --> 00:41:21,040 Speaker 2: being neighborly. 754 00:41:21,160 --> 00:41:22,200 Speaker 3: The list is long. 755 00:41:23,040 --> 00:41:26,320 Speaker 2: Kamala Harris, as you mentioned, she is flying at the moment, 756 00:41:26,440 --> 00:41:30,759 Speaker 2: getting enormously that positive press, doing so much better in 757 00:41:30,800 --> 00:41:34,280 Speaker 2: the polls than Joe Biden was. But is this Wall's 758 00:41:34,360 --> 00:41:38,040 Speaker 2: decision going to cause her damage because there just seems 759 00:41:38,080 --> 00:41:39,799 Speaker 2: to be more and more that comes out with him, 760 00:41:39,840 --> 00:41:41,720 Speaker 2: and you wonder if he was properly vetted. 761 00:41:42,800 --> 00:41:45,200 Speaker 8: I do think that the vetting is an issue because 762 00:41:45,239 --> 00:41:47,279 Speaker 8: of how this whole thing went down, and they were 763 00:41:47,320 --> 00:41:49,440 Speaker 8: pretending to support Biden for as long as they did, 764 00:41:49,440 --> 00:41:51,439 Speaker 8: and then this last minute switcher Russ. Now you've got 765 00:41:51,440 --> 00:41:54,360 Speaker 8: what would happen in eighteen months condensed in ninety days. 766 00:41:54,400 --> 00:41:57,319 Speaker 8: So I'm sure they knew these things, but they didn't 767 00:41:57,320 --> 00:42:00,000 Speaker 8: have the time to really vet it. And these people, 768 00:42:00,120 --> 00:42:02,840 Speaker 8: she herself, had never been through a competitive primary process 769 00:42:02,880 --> 00:42:04,680 Speaker 8: or anything else. So it's plenty there. As you say, 770 00:42:04,719 --> 00:42:07,600 Speaker 8: it's a long list, but she's got this clear strategy. 771 00:42:07,600 --> 00:42:10,000 Speaker 8: You're running out the clock, getting very favorable media and 772 00:42:10,080 --> 00:42:13,720 Speaker 8: new media, and that seems to be what's on the ballot. 773 00:42:13,840 --> 00:42:16,879 Speaker 2: I think she's counting on a honeymoon all the way 774 00:42:17,000 --> 00:42:19,680 Speaker 2: to November. Koshagata, thank you so much for your time 775 00:42:19,719 --> 00:42:23,400 Speaker 2: this evening and still to come. Harry and Meghan lose 776 00:42:23,520 --> 00:42:28,240 Speaker 2: another staff member, plus Elon Musk and jk Rowling accused 777 00:42:28,280 --> 00:42:30,400 Speaker 2: of cyber harassment. 778 00:42:29,880 --> 00:42:33,200 Speaker 3: By controversial boxer Eman Khalif. 779 00:42:41,680 --> 00:42:44,239 Speaker 2: You're watching the Rita Panehy Show, joining me now is 780 00:42:44,480 --> 00:42:49,040 Speaker 2: entertainment and world reporter Kinsey scho Filled. Kinsey, let's start 781 00:42:49,120 --> 00:42:52,799 Speaker 2: with another member of the Sussex team quitting. Harry and 782 00:42:52,840 --> 00:42:56,799 Speaker 2: Meghan have lost their chief of staff, Josh Kettler, just 783 00:42:56,880 --> 00:42:59,840 Speaker 2: three months after he came on board, and just dayser 784 00:43:00,200 --> 00:43:03,360 Speaker 2: to the quasi royal tour of Columbia. 785 00:43:03,400 --> 00:43:04,400 Speaker 3: They've gone to Columbia. 786 00:43:04,480 --> 00:43:08,200 Speaker 2: Really, Paople Magazine, who we know are very close to 787 00:43:08,280 --> 00:43:11,120 Speaker 2: the couple, insis the depacha was mutual? 788 00:43:11,880 --> 00:43:13,040 Speaker 3: Is that the whole story? 789 00:43:14,560 --> 00:43:16,640 Speaker 11: I do not believe that this is the whole story. 790 00:43:16,719 --> 00:43:18,839 Speaker 11: In fact, you know this is the same man that 791 00:43:18,880 --> 00:43:22,320 Speaker 11: Harry and Meghan's team said was instrumental in the success 792 00:43:22,360 --> 00:43:26,000 Speaker 11: of their Nigeria trip. So why cut ties so close 793 00:43:26,120 --> 00:43:28,920 Speaker 11: to your Columbia adventure? Just a month ago you and 794 00:43:28,960 --> 00:43:31,520 Speaker 11: I talked about this, Prince Harry lost Dominic Reed, the 795 00:43:31,560 --> 00:43:35,520 Speaker 11: Invictus Games original CEO. He resigned within days of Prince 796 00:43:35,520 --> 00:43:39,640 Speaker 11: Harry accepting the controversial Pat Tillman Award on national television. 797 00:43:39,920 --> 00:43:42,279 Speaker 11: I don't think that was a coincidence, you know. I 798 00:43:42,320 --> 00:43:45,680 Speaker 11: believe we're at eighteen employees gone under Harry and Meghan 799 00:43:45,760 --> 00:43:49,000 Speaker 11: since twenty eighteen, and that does not count domestic health 800 00:43:49,080 --> 00:43:52,640 Speaker 11: and terminated members of their security detail. So we're seeing 801 00:43:52,640 --> 00:43:55,040 Speaker 11: a pattern here. It appears to be a clear sign 802 00:43:55,080 --> 00:43:57,920 Speaker 11: of ineffective leadership and a toxic workplace. 803 00:44:00,160 --> 00:44:02,799 Speaker 2: And we've saw that same patsion when they were in 804 00:44:02,840 --> 00:44:06,000 Speaker 2: the UK, and that was really never fully addressed. Was 805 00:44:06,040 --> 00:44:10,440 Speaker 2: it precisely why they lost so many stuff? What happened 806 00:44:10,480 --> 00:44:15,320 Speaker 2: with those bullying allegations? This sort of bad luck seems 807 00:44:15,360 --> 00:44:16,320 Speaker 2: to follow the couple. 808 00:44:17,760 --> 00:44:20,759 Speaker 11: What's interesting to me, too, is to your point about 809 00:44:20,760 --> 00:44:25,600 Speaker 11: People Magazine. A former Archwall employee recently told People Magazine 810 00:44:25,640 --> 00:44:28,319 Speaker 11: that Megan really wanted Prince Harry to get over some 811 00:44:28,400 --> 00:44:31,279 Speaker 11: of this litigation and look forward and move on. We 812 00:44:31,360 --> 00:44:35,279 Speaker 11: know how ironclad those NDAs are, So it goes to 813 00:44:35,320 --> 00:44:39,640 Speaker 11: your point that People magazine is getting access to people 814 00:44:39,760 --> 00:44:43,279 Speaker 11: through Harry and Meghan that someone would be courageous enough 815 00:44:43,320 --> 00:44:45,839 Speaker 11: to talk to them and make Meghan look good by 816 00:44:45,840 --> 00:44:48,399 Speaker 11: saying Meghan wants to focus on the future and move 817 00:44:48,440 --> 00:44:53,239 Speaker 11: past some of the drama and just look forward. So yeah, 818 00:44:53,280 --> 00:44:56,040 Speaker 11: I think that this is just going to continue to 819 00:44:56,080 --> 00:44:58,759 Speaker 11: happen and till this couple looks in the mirror and 820 00:44:58,800 --> 00:45:01,040 Speaker 11: realizes perhaps they're problem. 821 00:45:02,920 --> 00:45:03,080 Speaker 8: Now. 822 00:45:03,160 --> 00:45:07,880 Speaker 2: Variety magazine has revealed that Algerian boxer Imman Khalif, who 823 00:45:08,160 --> 00:45:13,000 Speaker 2: spark controversy along with a Taiwanese fighter for getting Olympic 824 00:45:13,120 --> 00:45:18,800 Speaker 2: gold in Paris despite having X Y chromosomes, are also 825 00:45:18,840 --> 00:45:23,239 Speaker 2: known as being male. Well how's this for hootspa. He's 826 00:45:23,239 --> 00:45:27,880 Speaker 2: now filed a cyber bullying lawsuit against X in France. 827 00:45:27,960 --> 00:45:32,440 Speaker 2: In the criminal complaint file to French authorities, Khaliff names 828 00:45:32,600 --> 00:45:37,520 Speaker 2: JK Rowling and Elon Musk and alleges acts of aggravated 829 00:45:37,760 --> 00:45:43,800 Speaker 2: cyber harassment on the social media side Kinzia, JK Elon. 830 00:45:43,840 --> 00:45:48,280 Speaker 3: Are they in trouble? Could they be going to prison? Yeah? 831 00:45:48,400 --> 00:45:49,239 Speaker 3: I mean yes and no. 832 00:45:49,520 --> 00:45:52,640 Speaker 11: We're seeing people's doors beaten down over I mean tweets 833 00:45:52,640 --> 00:45:55,840 Speaker 11: in the UK, so anything is possible today. Quite honestly, 834 00:45:56,080 --> 00:45:58,480 Speaker 11: I mean, I'm terrified. I think this is just a 835 00:45:58,480 --> 00:46:01,000 Speaker 11: PR stunt. If I'm being honest with you, Elon and 836 00:46:01,080 --> 00:46:05,040 Speaker 11: JK could literally buy the Olympics, so they haven't. They 837 00:46:05,040 --> 00:46:07,520 Speaker 11: have so much money. They'll put up a good fight. 838 00:46:07,600 --> 00:46:12,719 Speaker 11: But I think this pursuit lacks credibility. 839 00:46:13,160 --> 00:46:15,040 Speaker 3: It's yeah, it's astonishing. 840 00:46:15,160 --> 00:46:18,160 Speaker 2: And you know what, if they want to submit to 841 00:46:18,400 --> 00:46:23,720 Speaker 2: a chromosome test, then I'll be right there fighting along 842 00:46:23,800 --> 00:46:26,720 Speaker 2: them if they come back as XX. But we're told 843 00:46:27,040 --> 00:46:30,320 Speaker 2: they've tested x Y and they did not appeal that ruling. 844 00:46:30,760 --> 00:46:33,920 Speaker 2: Now let's talk about news side Axius, they found that 845 00:46:34,040 --> 00:46:39,000 Speaker 2: the Kamala Harris campaign has been editing news headlines. 846 00:46:38,360 --> 00:46:41,359 Speaker 3: And descriptions within Google. This is in. 847 00:46:41,600 --> 00:46:46,000 Speaker 2: Search ads that make it appear like the Guardian, CBS 848 00:46:46,040 --> 00:46:50,080 Speaker 2: and other major news sites are pro Kamala. The ads 849 00:46:50,160 --> 00:46:54,120 Speaker 2: include links to real articles, but the headlines and supporting 850 00:46:54,239 --> 00:46:59,440 Speaker 2: texts have been altered to read as they support Harris's campaign. 851 00:46:59,520 --> 00:47:02,920 Speaker 2: Objective teams but Kinsie of good as side. This seems 852 00:47:02,920 --> 00:47:06,160 Speaker 2: to be an enormous waste of money for the Harris team. 853 00:47:06,239 --> 00:47:10,600 Speaker 2: Why would they bother manipulating headlines when the media is 854 00:47:10,640 --> 00:47:12,560 Speaker 2: already cheerleading their every. 855 00:47:12,360 --> 00:47:16,600 Speaker 11: Move well, because clearly they're greedy. But the wildest part 856 00:47:16,680 --> 00:47:20,200 Speaker 11: about this is that it's perfectly acceptable behavior under Google's 857 00:47:20,280 --> 00:47:24,000 Speaker 11: terms and conditions. I mean, it's clearly misleading the tactic, 858 00:47:24,480 --> 00:47:28,440 Speaker 11: but unfortunately the tactics does not violate their policies because 859 00:47:28,600 --> 00:47:32,200 Speaker 11: the fake ads are labeled as sponsored. The Guardian says 860 00:47:32,239 --> 00:47:35,000 Speaker 11: that they intend to approach Google about this, that they're 861 00:47:35,080 --> 00:47:38,560 Speaker 11: not comfortable with the Harris campaign manipulating their headlines in 862 00:47:38,560 --> 00:47:42,400 Speaker 11: this way. But the more frequently Kamaliest team engages in 863 00:47:42,440 --> 00:47:46,520 Speaker 11: dishonest behavior, the more likely it is that these inconsistencies 864 00:47:46,520 --> 00:47:50,480 Speaker 11: are suspicious actions will will be noticed by people. It's 865 00:47:50,560 --> 00:47:52,960 Speaker 11: going to be easier for others to catch on. So 866 00:47:53,360 --> 00:47:56,960 Speaker 11: I'm hoping that this becomes a bigger story because if 867 00:47:56,960 --> 00:47:59,480 Speaker 11: the Trump campaign did this, I can't imagine the hell 868 00:47:59,480 --> 00:48:02,880 Speaker 11: that would ran in on them. 869 00:48:03,120 --> 00:48:06,040 Speaker 2: If the Trump campaign did this, we would not hear 870 00:48:06,120 --> 00:48:10,839 Speaker 2: the end of disinformation, misinformation threats to democracy. It would 871 00:48:10,920 --> 00:48:13,920 Speaker 2: be a massive scandal, But I think this will be 872 00:48:14,840 --> 00:48:19,359 Speaker 2: overlooked by most. Let's talk about the Backstreet Boys star 873 00:48:19,640 --> 00:48:23,839 Speaker 2: Backstreet Boys A Nick Carter. He's suing the woman who 874 00:48:23,880 --> 00:48:28,120 Speaker 2: accused him of being a rapist. He's seeking two point 875 00:48:28,239 --> 00:48:32,319 Speaker 2: five million in compensation for defamation KINSI. 876 00:48:33,320 --> 00:48:35,439 Speaker 11: You know, Rita, I'm not sure this is a great 877 00:48:35,480 --> 00:48:38,359 Speaker 11: look for Carter. I had to cover a recent documentary 878 00:48:38,360 --> 00:48:41,279 Speaker 11: that went into these allegations, and while it had first 879 00:48:41,320 --> 00:48:44,560 Speaker 11: hand accounts from some of the alleged victims, the audience 880 00:48:44,600 --> 00:48:48,239 Speaker 11: walked away not completely convinced of his guilt. You know, 881 00:48:48,280 --> 00:48:51,600 Speaker 11: then people forgot. This is the Barbara Streisand effect, where 882 00:48:51,640 --> 00:48:54,880 Speaker 11: you're bringing it back up again and now you've magnified it. 883 00:48:55,280 --> 00:48:58,640 Speaker 11: I think pr wise, this is a risky move. But 884 00:48:58,760 --> 00:49:01,200 Speaker 11: he might have looked at the Giant trial and thought 885 00:49:01,239 --> 00:49:02,560 Speaker 11: I can do something similar. 886 00:49:05,160 --> 00:49:09,439 Speaker 2: Yeah, that is a very good point, but Johnny Depp 887 00:49:09,480 --> 00:49:12,160 Speaker 2: did have a win there that the case against him 888 00:49:12,280 --> 00:49:15,440 Speaker 2: was such a mess. But I think your advice here 889 00:49:15,640 --> 00:49:22,280 Speaker 2: is very good. Indeed, these allegations haven't tainted his reputation's 890 00:49:23,000 --> 00:49:27,160 Speaker 2: reputation greatly, So to go through this, I think there's 891 00:49:27,200 --> 00:49:29,360 Speaker 2: a risk that he's actually going to come out of 892 00:49:29,400 --> 00:49:32,160 Speaker 2: it more damaged than when he went in, even if 893 00:49:32,160 --> 00:49:34,680 Speaker 2: he ends up winning. And we know this sort of 894 00:49:34,680 --> 00:49:38,759 Speaker 2: court action is also very costly at kinsisco Field. Thank 895 00:49:38,800 --> 00:49:41,879 Speaker 2: you so much for your time this evening, and that's 896 00:49:41,960 --> 00:49:44,479 Speaker 2: it from me. I'll see you tomorrow, and I for left. 897 00:49:44,520 --> 00:49:47,520 Speaker 2: He's losing it at nine point thirty pm up. Next 898 00:49:47,760 --> 00:49:48,600 Speaker 2: is Newsnight