1 00:00:04,120 --> 00:00:06,400 Speaker 1: Guys, we are back on Bromley The Show with Romalis 2 00:00:06,519 --> 00:00:08,800 Speaker 1: takes for when the news gets weird. I am markasan 3 00:00:08,880 --> 00:00:09,600 Speaker 1: him and. 4 00:00:09,520 --> 00:00:12,879 Speaker 2: I am Karl Marks Big News, Mary Katherine. Donald Trump 5 00:00:12,960 --> 00:00:15,240 Speaker 2: is not that and he didn't resign. That was the 6 00:00:15,280 --> 00:00:18,959 Speaker 2: other insane thing that people were speculating that he was 7 00:00:19,000 --> 00:00:22,200 Speaker 2: going to hold a press conference and resign because they 8 00:00:22,200 --> 00:00:24,840 Speaker 2: had never even heard of Donald Trump before to imagine 9 00:00:24,840 --> 00:00:25,440 Speaker 2: that he would do. 10 00:00:25,400 --> 00:00:29,640 Speaker 1: Something like that. Yeah, I just what, guys. 11 00:00:30,040 --> 00:00:34,440 Speaker 2: The left has their own conspiracy theory insanity like this. 12 00:00:35,040 --> 00:00:37,519 Speaker 2: But then it makes me feel worse overall, you know, 13 00:00:37,720 --> 00:00:40,920 Speaker 2: like it's like, I'm glad the right doesn't have a 14 00:00:40,960 --> 00:00:45,720 Speaker 2: monopoly on crazy people believing crazy things and just asking questions, 15 00:00:45,840 --> 00:00:49,760 Speaker 2: just asking really stupid questions. But then it does make 16 00:00:49,800 --> 00:00:52,000 Speaker 2: me worried about the country as a whole. 17 00:00:52,479 --> 00:00:54,960 Speaker 1: Well, and we also have a troll in chief, which 18 00:00:54,960 --> 00:00:57,400 Speaker 1: means once he knows that this is what people do 19 00:00:57,440 --> 00:01:00,040 Speaker 1: when he takes two days off, he's going to we 20 00:01:00,080 --> 00:01:02,640 Speaker 1: aren't taking two days off so that people will just 21 00:01:02,880 --> 00:01:07,240 Speaker 1: absolutely spin out online and then he can come back 22 00:01:07,280 --> 00:01:09,080 Speaker 1: and be like trick yah, I'm alive. 23 00:01:09,400 --> 00:01:09,960 Speaker 3: Yeah. 24 00:01:10,160 --> 00:01:13,039 Speaker 2: The other thing about that troll in chief is that 25 00:01:13,240 --> 00:01:18,399 Speaker 2: he has an incredible ability to unmask the other side. 26 00:01:18,480 --> 00:01:22,480 Speaker 2: I think that he really makes them do and say 27 00:01:23,200 --> 00:01:29,080 Speaker 2: crazy things. Let's hear from Tim Walls, who was Kamala 28 00:01:29,080 --> 00:01:32,080 Speaker 2: Harris's VP pick, because he was such a normal guy, 29 00:01:32,200 --> 00:01:34,920 Speaker 2: Mary Catherine, he was such a normal guy. He would 30 00:01:34,920 --> 00:01:38,520 Speaker 2: appeal to other normal guys. And then he said. 31 00:01:38,280 --> 00:01:41,160 Speaker 3: This, you get up in the morning and you doom 32 00:01:41,200 --> 00:01:44,920 Speaker 3: scroll through things. And although I will say this, the 33 00:01:45,000 --> 00:01:47,559 Speaker 3: last few days you woke up thinking there might be news, 34 00:01:49,440 --> 00:01:53,760 Speaker 3: just saying just saying there will be news sometime, just 35 00:01:53,800 --> 00:01:55,120 Speaker 3: so you know there will be news. 36 00:01:55,320 --> 00:01:57,960 Speaker 2: Really there will be news. Donald Trump will die someday. 37 00:01:58,080 --> 00:01:59,360 Speaker 2: Is that what you're sharing with us. 38 00:02:00,160 --> 00:02:05,600 Speaker 1: Walls also, just like, in addition to being creepy and trashy, 39 00:02:05,720 --> 00:02:10,120 Speaker 1: it's so online because unfortunately we to some extent, we 40 00:02:10,200 --> 00:02:13,040 Speaker 1: have to live our lives on the internets, on the 41 00:02:13,040 --> 00:02:16,320 Speaker 1: social media's. But for normal people over Labor Day weekend, 42 00:02:16,400 --> 00:02:20,080 Speaker 1: they were not experiencing the crash out of the left 43 00:02:20,120 --> 00:02:22,880 Speaker 1: fantasizing that Trump was dead. But Tim Walls, of course 44 00:02:23,080 --> 00:02:27,440 Speaker 1: was because despite being a very normal football coach, this 45 00:02:27,520 --> 00:02:30,120 Speaker 1: is the life that he this is the circle he's in, 46 00:02:30,720 --> 00:02:33,680 Speaker 1: and he knew that everyone he was talking to at 47 00:02:33,680 --> 00:02:37,400 Speaker 1: that event would be conversant in the idea that this 48 00:02:37,520 --> 00:02:39,920 Speaker 1: was the big fantasy over the weekend, and I just 49 00:02:40,560 --> 00:02:43,600 Speaker 1: doesn't speak well, doesn't speak well. 50 00:02:44,080 --> 00:02:47,440 Speaker 2: Guys are weird. You guys are weird. Stop being weird. 51 00:02:48,600 --> 00:02:53,080 Speaker 1: Okay. In addition to coming back, you know, from his 52 00:02:53,160 --> 00:02:56,160 Speaker 1: weekend hiatus, Trump came back strong. 53 00:02:56,280 --> 00:02:59,320 Speaker 2: I was going to say weekend at Bernie, but okay, close. 54 00:03:00,360 --> 00:03:04,079 Speaker 1: He came back strong with announcements that, you know, when 55 00:03:04,080 --> 00:03:07,519 Speaker 1: we had sort of anticipated this, that National Guard will 56 00:03:07,520 --> 00:03:11,480 Speaker 1: be deployed in Chicago. I think Baltimore is on a 57 00:03:11,520 --> 00:03:18,120 Speaker 1: possibility list. The announcements have kept it mostly to immigration enforcement, 58 00:03:18,160 --> 00:03:20,720 Speaker 1: which is a federal issue, but it's clear that Trump 59 00:03:20,760 --> 00:03:24,440 Speaker 1: wants to solve other problems as well, the problems of 60 00:03:25,200 --> 00:03:28,240 Speaker 1: general violence and violent crime in these cities that the 61 00:03:28,280 --> 00:03:34,160 Speaker 1: cities themselves have not solved, and he's just like, we're 62 00:03:34,160 --> 00:03:36,200 Speaker 1: going to go do it. We're going to go do it. 63 00:03:36,960 --> 00:03:40,880 Speaker 2: Yeah, And for some reason, the governors of those states 64 00:03:40,960 --> 00:03:43,840 Speaker 2: are like, no, don't don't help us with our crime problem. 65 00:03:43,840 --> 00:03:46,200 Speaker 2: We don't like you. And that's supposed to be a 66 00:03:46,240 --> 00:03:50,040 Speaker 2: normal thing for them to be doing instead of saying, 67 00:03:50,920 --> 00:03:54,480 Speaker 2: you know, this isn't the president's problem. We're going to 68 00:03:54,520 --> 00:03:56,640 Speaker 2: get on this. We are going to do a B 69 00:03:56,760 --> 00:03:59,920 Speaker 2: and C to help fight crime in these cities. Instead 70 00:03:59,920 --> 00:04:03,160 Speaker 2: of that they're pretending there is no crime, which I'm 71 00:04:03,360 --> 00:04:05,680 Speaker 2: just not sure is the right strategy here. 72 00:04:06,520 --> 00:04:12,160 Speaker 1: Yeah, and I'm sympathetic to governors or mayors who are like, WHOA, 73 00:04:12,320 --> 00:04:14,480 Speaker 1: this isn't within your power, and there are certain things 74 00:04:14,520 --> 00:04:18,560 Speaker 1: you can do here. But I think the biggest utility 75 00:04:18,680 --> 00:04:21,200 Speaker 1: of Trump saying he's going to do these things, or 76 00:04:21,560 --> 00:04:23,560 Speaker 1: if you just end up with the National Guards standing 77 00:04:23,640 --> 00:04:27,479 Speaker 1: in front of a few federal buildings, the thing it's 78 00:04:27,600 --> 00:04:31,800 Speaker 1: best at is shaming cities into doing the jobs they 79 00:04:31,839 --> 00:04:35,440 Speaker 1: should have been doing, because it points out, Okay, there 80 00:04:35,480 --> 00:04:39,479 Speaker 1: is a real problem here, and perhaps perhaps there's a 81 00:04:39,520 --> 00:04:43,520 Speaker 1: solution that includes the presence of law enforcement and sometimes 82 00:04:43,640 --> 00:04:48,760 Speaker 1: national guard, right, and so it shows that there is 83 00:04:48,760 --> 00:04:51,760 Speaker 1: a solution, which then makes the JB. Pritzkers, Governor of 84 00:04:51,760 --> 00:04:54,880 Speaker 1: Illinois or Wesmore, governor of Maryland. 85 00:04:54,960 --> 00:04:55,000 Speaker 2: Go. 86 00:04:56,279 --> 00:04:58,719 Speaker 1: Now everybody sees that there could be a way to 87 00:04:58,920 --> 00:05:03,039 Speaker 1: solve this problem. Nobody wants that perhaps we should get 88 00:05:03,040 --> 00:05:06,239 Speaker 1: on solving this problem. So I mean the utility is there. 89 00:05:06,360 --> 00:05:10,120 Speaker 1: I get their concerns, and I have concerns too, But 90 00:05:10,200 --> 00:05:14,320 Speaker 1: the thing is, you can't tell regular people that zero 91 00:05:14,440 --> 00:05:18,279 Speaker 1: murders is not pretty good, Like that's a pretty good 92 00:05:18,320 --> 00:05:20,640 Speaker 1: outcome in d see over a week and a half 93 00:05:20,680 --> 00:05:23,039 Speaker 1: when you have three or fours of a week normally. 94 00:05:23,480 --> 00:05:25,760 Speaker 1: So a lot of folks just go like, I don't know, 95 00:05:26,000 --> 00:05:27,800 Speaker 1: it sounds nice to have these guys around for a 96 00:05:27,839 --> 00:05:30,440 Speaker 1: little while and keep things under the control. 97 00:05:30,760 --> 00:05:33,320 Speaker 2: And as we pointed out in a previous episode, there 98 00:05:33,360 --> 00:05:36,080 Speaker 2: are National Guard troops in the New York City subway 99 00:05:36,360 --> 00:05:39,760 Speaker 2: for similar reasons, and nobody seems to have a problem 100 00:05:39,839 --> 00:05:42,240 Speaker 2: with that. That's not fascism. This is fascism. 101 00:05:42,560 --> 00:05:46,160 Speaker 1: Let's also note national Guard in the nation's capital after 102 00:05:46,240 --> 00:05:48,279 Speaker 1: January sixth, for like six to eight. 103 00:05:48,200 --> 00:05:52,400 Speaker 2: Months, right, they were there was fascism in very large numbers. 104 00:05:52,480 --> 00:05:58,960 Speaker 1: Right, So this is not an unprecedented thing. And the 105 00:05:59,040 --> 00:06:01,080 Speaker 1: fact is there are real problems in these cities. And 106 00:06:01,160 --> 00:06:04,760 Speaker 1: let me let you hear Jamie Pritzker, the governor of Illinois, 107 00:06:04,800 --> 00:06:07,440 Speaker 1: who should be on top of solving these problems, tell 108 00:06:07,440 --> 00:06:10,400 Speaker 1: you what he thinks about them. You're going to hear people, 109 00:06:10,480 --> 00:06:14,600 Speaker 1: especially pat his past weekend, fifty four shot, seven dead. 110 00:06:15,279 --> 00:06:18,080 Speaker 1: They're going to say the city's not safe. Would you 111 00:06:18,200 --> 00:06:20,839 Speaker 1: ask your friends to ride the l after midnight or 112 00:06:20,880 --> 00:06:23,919 Speaker 1: after nine o'clock at night, even to come down to 113 00:06:24,000 --> 00:06:25,000 Speaker 1: the city from O'Hare. 114 00:06:25,880 --> 00:06:29,200 Speaker 4: Look, big cities have crime, there's no doubt about it. 115 00:06:29,680 --> 00:06:33,080 Speaker 4: But let's just pay attention to what President Trump is 116 00:06:33,120 --> 00:06:37,600 Speaker 4: doing targeting shadow. He's overlooking red states that have much 117 00:06:37,680 --> 00:06:38,680 Speaker 4: higher crime rates. 118 00:06:39,080 --> 00:06:43,920 Speaker 2: Yeah, I mean, you can't say that, Oh, just big 119 00:06:43,960 --> 00:06:46,000 Speaker 2: cities just have crime and that's the way it is, 120 00:06:46,240 --> 00:06:49,880 Speaker 2: and expect that to be okay. Donald Trump is actually 121 00:06:49,960 --> 00:06:53,280 Speaker 2: saying we can help solve this, we can help with this. 122 00:06:53,800 --> 00:06:57,360 Speaker 2: You can't be the governor of Illinois and say no, 123 00:06:57,520 --> 00:06:59,400 Speaker 2: thank you. This is just the way it is. 124 00:07:01,160 --> 00:07:03,120 Speaker 1: What it does is say and Brandon Johnson is the 125 00:07:03,120 --> 00:07:06,840 Speaker 1: same way. Who's the mayor of Chicago. Brandon Johnson? Oh gosh, 126 00:07:06,880 --> 00:07:10,440 Speaker 1: that guy has like a six percent approval rating. And 127 00:07:10,480 --> 00:07:13,920 Speaker 1: this is why his quote was something like similar, which 128 00:07:13,960 --> 00:07:17,680 Speaker 1: is like, there's always crime in big cities. It's because 129 00:07:17,760 --> 00:07:21,600 Speaker 1: of gun laws in other places, and those guns somehow 130 00:07:21,640 --> 00:07:24,760 Speaker 1: magically get to Chicago and magically start working to kill 131 00:07:24,800 --> 00:07:27,600 Speaker 1: other people here more than they do in other places. 132 00:07:27,400 --> 00:07:29,760 Speaker 2: Right, Indiana is always like, why are you guys looking 133 00:07:29,800 --> 00:07:32,240 Speaker 2: at us? We don't have your crime rate? 134 00:07:32,440 --> 00:07:35,200 Speaker 1: No, And what it does is it absolves him of 135 00:07:35,240 --> 00:07:39,960 Speaker 1: all responsibility and tells you he will never be solving 136 00:07:39,960 --> 00:07:43,080 Speaker 1: the problem, which then makes regular people much more open 137 00:07:43,480 --> 00:07:45,720 Speaker 1: to someone who will solve the problem. 138 00:07:46,000 --> 00:07:49,800 Speaker 2: Absolutely. In as Stepman, she lives in New York now, 139 00:07:49,880 --> 00:07:52,360 Speaker 2: but she used to live in DC, and she tweeted 140 00:07:52,360 --> 00:07:55,000 Speaker 2: the other day from a visit to DC, there's not 141 00:07:55,160 --> 00:07:59,200 Speaker 2: a single solitary bum in or around Union Station. I 142 00:07:59,240 --> 00:08:02,120 Speaker 2: have never seen this in my life. Extraordinary What can 143 00:08:02,160 --> 00:08:05,920 Speaker 2: be accomplished with supposedly intractable problems if you just ditched 144 00:08:05,960 --> 00:08:10,360 Speaker 2: the idiocy. I mean that is huge. I see Union 145 00:08:10,360 --> 00:08:14,880 Speaker 2: Station as always filled with homeless people surrounding it. It's 146 00:08:15,920 --> 00:08:17,880 Speaker 2: just the way it always was. It's the way it's 147 00:08:17,920 --> 00:08:20,160 Speaker 2: been for the last decade, and it doesn't have to 148 00:08:20,200 --> 00:08:22,280 Speaker 2: be that way. And I like to see that well. 149 00:08:22,320 --> 00:08:25,200 Speaker 1: And I also one last point on this. I am 150 00:08:25,280 --> 00:08:27,920 Speaker 1: open to the idea that, like, there are trade offs 151 00:08:27,920 --> 00:08:30,120 Speaker 1: for having a lot of enforcement around and a lot 152 00:08:30,200 --> 00:08:33,720 Speaker 1: of military presence, and that there might be liberty costs here, 153 00:08:33,800 --> 00:08:36,199 Speaker 1: Like I'm open to that idea. What I'm not open 154 00:08:36,240 --> 00:08:39,720 Speaker 1: to is the idea that presence causes more crime, which 155 00:08:39,760 --> 00:08:43,000 Speaker 1: is somehow the argument they start making, like, no, I 156 00:08:43,000 --> 00:08:45,080 Speaker 1: don't think it causes more crime. I in fact think 157 00:08:45,080 --> 00:08:47,960 Speaker 1: it lessens crime, as it has at Union Station, which 158 00:08:47,960 --> 00:08:50,200 Speaker 1: I came in and out of the other day without event, 159 00:08:51,200 --> 00:08:54,080 Speaker 1: and it was quite pleasant and it was like it 160 00:08:54,240 --> 00:08:57,120 Speaker 1: was twenty years ago. Not to sound like an old timer, 161 00:08:57,760 --> 00:09:01,280 Speaker 1: but my friend Matt Connetti, who writes for Commentary and 162 00:09:02,080 --> 00:09:06,320 Speaker 1: other folks, noted that when I got to DC and 163 00:09:06,360 --> 00:09:08,120 Speaker 1: when he got to DC, and that like sort of 164 00:09:08,160 --> 00:09:10,960 Speaker 1: post nine to eleven era of the George W. Bush hears, 165 00:09:11,280 --> 00:09:15,760 Speaker 1: we were probably benefiting from increased presence in the streets 166 00:09:15,760 --> 00:09:18,559 Speaker 1: of Washington, d C. Where we were concerned about a 167 00:09:18,600 --> 00:09:22,000 Speaker 1: present terrorist threat. But as a result, it was some 168 00:09:22,040 --> 00:09:24,440 Speaker 1: of the best times in the city. And now it 169 00:09:24,760 --> 00:09:28,000 Speaker 1: kind of felt like that again. So presence, Matt. 170 00:09:27,920 --> 00:09:33,320 Speaker 2: Right, Yeah, absolutely, another Donald Trump thing that he did 171 00:09:33,400 --> 00:09:37,480 Speaker 2: once he confirmed that he was still alive. Pete Hegseth 172 00:09:37,520 --> 00:09:41,960 Speaker 2: tweeted out Donald Trump truth earlier this morning. On my orders, 173 00:09:42,080 --> 00:09:46,280 Speaker 2: US military forces conducted a kinetic strike against positively identified 174 00:09:46,280 --> 00:09:50,800 Speaker 2: trend Ragua Narco terrorists in the southcom Area of Responsibility 175 00:09:51,240 --> 00:09:55,800 Speaker 2: TDA is a designated born terrorist organization operating under the 176 00:09:55,800 --> 00:09:59,640 Speaker 2: control of Nicholas Madura, responsible for mass murdered, drug trafficking, 177 00:09:59,679 --> 00:10:02,520 Speaker 2: sex trafficking, and acts of violence and terror across the 178 00:10:02,600 --> 00:10:06,559 Speaker 2: United States and the Western Hemisphere. And then they posted 179 00:10:06,600 --> 00:10:11,880 Speaker 2: the video of this little boat going boom. 180 00:10:12,000 --> 00:10:15,640 Speaker 1: It was really something well, and this is what the 181 00:10:15,760 --> 00:10:20,280 Speaker 1: Trump administration gets. The Trump administration is interesting. It was 182 00:10:20,360 --> 00:10:22,520 Speaker 1: interesting the first time as well, because there is this 183 00:10:23,200 --> 00:10:25,960 Speaker 1: he doesn't want to be in wars, right, and it 184 00:10:26,040 --> 00:10:30,600 Speaker 1: makes that very clear. However I call it however, however, 185 00:10:30,720 --> 00:10:34,200 Speaker 1: I call it occasional bellicosity. Like he likes the flex 186 00:10:34,240 --> 00:10:37,120 Speaker 1: a little bit, whether it's sole money or this. He 187 00:10:37,240 --> 00:10:39,240 Speaker 1: likes you to see the tape. He likes you to 188 00:10:39,360 --> 00:10:43,240 Speaker 1: know that enemies have been taken out. And Kelly, an 189 00:10:43,280 --> 00:10:47,439 Speaker 1: obvious example is the bombing and Iran, which was masterful, 190 00:10:48,240 --> 00:10:51,400 Speaker 1: and it sends the message that like, these are things 191 00:10:51,400 --> 00:10:55,520 Speaker 1: we can do, we are not always interested in doing them. 192 00:10:56,120 --> 00:10:58,040 Speaker 1: I like that part. I would like a little more 193 00:10:58,040 --> 00:10:59,199 Speaker 1: information on this target. 194 00:11:00,480 --> 00:11:04,319 Speaker 2: Yeah, you know, I was expecting actually some pushback. It's 195 00:11:04,360 --> 00:11:08,720 Speaker 2: been actually muted, very very muted. Pushback. I guess the 196 00:11:08,800 --> 00:11:11,960 Speaker 2: left was startled that Donald Trump was actually still alive 197 00:11:12,440 --> 00:11:16,400 Speaker 2: and on the regard, yeah, and the right, who has 198 00:11:16,440 --> 00:11:19,880 Speaker 2: decided that no military use is ever okay. That part 199 00:11:19,880 --> 00:11:22,760 Speaker 2: of the right also very very quiet. I guess no 200 00:11:22,840 --> 00:11:25,120 Speaker 2: Jews are involved, so who cares well. 201 00:11:25,160 --> 00:11:28,160 Speaker 1: I also think just like Americans in general, are very 202 00:11:28,200 --> 00:11:31,280 Speaker 1: comfortable with an occasional flex. They don't want to be 203 00:11:31,280 --> 00:11:33,840 Speaker 1: boots on the ground. I don't want to do nation building. 204 00:11:34,080 --> 00:11:36,520 Speaker 1: But they're like, oh, did that go well? And some 205 00:11:36,559 --> 00:11:40,080 Speaker 1: people that were declared and identified terrorists are gone? We 206 00:11:40,120 --> 00:11:41,880 Speaker 1: feel okay about that, We feel good about that. 207 00:11:42,200 --> 00:11:44,760 Speaker 2: Will be right back on normally with the story of 208 00:11:44,800 --> 00:11:49,960 Speaker 2: a British comedian being arrested for some tweets pathetic written. 209 00:11:50,080 --> 00:11:55,199 Speaker 2: Don't like it at all. Be right back. We are 210 00:11:55,360 --> 00:12:00,040 Speaker 2: back on normally with the story of Graham Linehn and 211 00:12:00,120 --> 00:12:03,000 Speaker 2: I hope I'm saying that correctly. He is an Irish 212 00:12:03,080 --> 00:12:06,679 Speaker 2: comedian and co creator of one of the most popular 213 00:12:06,720 --> 00:12:11,640 Speaker 2: sitcoms in Britain called Father Ted. British people. If you 214 00:12:11,679 --> 00:12:14,480 Speaker 2: know British people, they just walk around quoting Father Ted 215 00:12:14,720 --> 00:12:18,160 Speaker 2: all the time. It is a very specific kind of 216 00:12:18,200 --> 00:12:21,600 Speaker 2: British humor that I don't always get, but I appreciate it. 217 00:12:21,679 --> 00:12:26,560 Speaker 2: And it's insane that he was arrested at Heathrow Airport 218 00:12:26,640 --> 00:12:32,160 Speaker 2: after landing from a trip to America and was told 219 00:12:32,360 --> 00:12:36,160 Speaker 2: that he was being arrested because of some tweets that 220 00:12:36,240 --> 00:12:40,400 Speaker 2: he had. I am concerned about the UK. I see 221 00:12:40,440 --> 00:12:42,760 Speaker 2: them as you know, a very close ally. I don't 222 00:12:42,800 --> 00:12:46,360 Speaker 2: know how else to look at them other than heading 223 00:12:46,440 --> 00:12:50,360 Speaker 2: down a direction that is scary to me. And what's 224 00:12:50,440 --> 00:12:53,600 Speaker 2: really worrisome to me, and this is you know, happens 225 00:12:53,600 --> 00:12:56,400 Speaker 2: in America too. There's a lot of like we should 226 00:12:57,080 --> 00:12:59,640 Speaker 2: this big problem should not be dealt with because of 227 00:12:59,679 --> 00:13:04,719 Speaker 2: how A look to other people. For example, Lord David Blunkett, 228 00:13:04,800 --> 00:13:07,480 Speaker 2: he was a Labor member of Parliament for many years. 229 00:13:07,480 --> 00:13:11,120 Speaker 2: Now he's in the House of Lords. He said, when 230 00:13:11,120 --> 00:13:14,120 Speaker 2: police and security services get it badly wrong, they play 231 00:13:14,120 --> 00:13:16,600 Speaker 2: into the hands of enemies, the people who undermine our 232 00:13:16,640 --> 00:13:19,200 Speaker 2: freedom of democracy and our freedom of speech. But this 233 00:13:19,280 --> 00:13:22,040 Speaker 2: part is what I'm listening for. So they play into 234 00:13:22,280 --> 00:13:25,560 Speaker 2: a narrative which the Americans have come out with, which 235 00:13:25,559 --> 00:13:27,679 Speaker 2: is that we no longer believe in free speech. And 236 00:13:27,720 --> 00:13:30,760 Speaker 2: of course we are in favor of free speech. If 237 00:13:30,800 --> 00:13:33,319 Speaker 2: you have to say it after some a comedian has 238 00:13:33,360 --> 00:13:36,600 Speaker 2: been arrested at your airport, it's a problem. It's now 239 00:13:36,640 --> 00:13:38,000 Speaker 2: the Americans doing it to you. 240 00:13:38,440 --> 00:13:40,960 Speaker 1: I feel like we need to add the CARDI B gifts. 241 00:13:40,960 --> 00:13:43,000 Speaker 1: It's like, this is what I'm saying. That's how we 242 00:13:43,120 --> 00:13:48,280 Speaker 1: know because you just arrested somebody for tweets exactly. Our 243 00:13:48,320 --> 00:13:52,200 Speaker 1: friend Charles Cook, who writes for National Review, you know, 244 00:13:52,840 --> 00:13:55,480 Speaker 1: he's been watching this since he immigrated to America. He's 245 00:13:55,520 --> 00:13:58,120 Speaker 1: now a citizen, but that's the country of his birth, England, 246 00:13:59,559 --> 00:14:03,440 Speaker 1: and he notes that this is the new British mode 247 00:14:03,520 --> 00:14:05,720 Speaker 1: in the year twenty twenty five. Britain has a Parliament 248 00:14:05,760 --> 00:14:08,000 Speaker 1: that can meet to help you kill yourself, but not 249 00:14:08,040 --> 00:14:10,640 Speaker 1: to protect your speech, a next checker that can pluck 250 00:14:10,679 --> 00:14:13,520 Speaker 1: the population's feathers from nine thousand different angles, but that 251 00:14:13,559 --> 00:14:15,920 Speaker 1: has no interest in generating wealth. And a network of 252 00:14:15,960 --> 00:14:18,559 Speaker 1: police forces that are incapable of solving the most sordid 253 00:14:18,600 --> 00:14:22,920 Speaker 1: crimes imaginable, but that are sufficiently well staffed to guarantee 254 00:14:22,920 --> 00:14:25,240 Speaker 1: that if an outspoken Irish comedian steps off a plane 255 00:14:25,240 --> 00:14:27,800 Speaker 1: from Arizona, he will be met by enough lawmen to 256 00:14:27,880 --> 00:14:30,560 Speaker 1: fill a small office crazy. 257 00:14:30,720 --> 00:14:31,640 Speaker 2: It's really crazy. 258 00:14:31,840 --> 00:14:34,680 Speaker 1: Yeah, And that to me is the thing that brings 259 00:14:34,680 --> 00:14:36,920 Speaker 1: this together with worries I have about our country or 260 00:14:36,960 --> 00:14:39,040 Speaker 1: worries I have about Canada where you see things like 261 00:14:39,080 --> 00:14:47,240 Speaker 1: this is the emphasis on just nailing citizens for very 262 00:14:47,280 --> 00:14:52,000 Speaker 1: small offenses while favoring non citizens and or people engaged 263 00:14:52,000 --> 00:14:57,320 Speaker 1: in actual violent crime for every exception in the book, 264 00:14:57,680 --> 00:15:00,680 Speaker 1: every kindness you could come up with, ever a bit 265 00:15:00,720 --> 00:15:05,680 Speaker 1: of compassion week muster for those folks, while the actual 266 00:15:05,760 --> 00:15:07,800 Speaker 1: citizens who are trying to be law abiding are getting 267 00:15:07,880 --> 00:15:09,200 Speaker 1: nitpicked to death. 268 00:15:09,840 --> 00:15:10,680 Speaker 2: And it's terrible. 269 00:15:11,200 --> 00:15:13,240 Speaker 1: That's what it feels like to me in San Francisco, 270 00:15:13,480 --> 00:15:15,320 Speaker 1: as what it feels like in Toronto, as it it 271 00:15:15,320 --> 00:15:19,400 Speaker 1: feels like in London, and people are real risk, yeah, 272 00:15:19,400 --> 00:15:22,320 Speaker 1: because they're speech policing instead of actually policing. And what 273 00:15:22,400 --> 00:15:26,000 Speaker 1: he was referring to as the groomer gangs and gang 274 00:15:26,120 --> 00:15:31,520 Speaker 1: raping of many people in the UK, which is sort 275 00:15:31,560 --> 00:15:32,120 Speaker 1: of given. 276 00:15:31,880 --> 00:15:36,560 Speaker 2: A pass absolutely. A Prime Minister spokesman said this is 277 00:15:36,600 --> 00:15:39,080 Speaker 2: an operational matter for the police, but the Prime Minister 278 00:15:39,200 --> 00:15:41,640 Speaker 2: and the Home Secretary have been clear about what their 279 00:15:41,640 --> 00:15:45,760 Speaker 2: priorities on crime and policing are. That's tackling antisocial behavior, 280 00:15:45,800 --> 00:15:48,880 Speaker 2: shoplifting and street crime, as well as reducing serious violent 281 00:15:48,920 --> 00:15:51,840 Speaker 2: crimes such as knife crime and violence against women. The 282 00:15:51,880 --> 00:15:55,560 Speaker 2: spokesman added, Sir Kuir did not agree with the comment 283 00:15:55,640 --> 00:15:58,520 Speaker 2: by Elon Musk that the arrest showed Britain was now 284 00:15:58,560 --> 00:16:03,440 Speaker 2: a quote police state. But again, your concern over what 285 00:16:03,760 --> 00:16:07,680 Speaker 2: America is saying about you should not be the main 286 00:16:07,760 --> 00:16:11,920 Speaker 2: topic of conversation here. The fact that Elon Musk is 287 00:16:11,960 --> 00:16:14,600 Speaker 2: saying it's the police state, the fact that Americans are 288 00:16:14,600 --> 00:16:18,000 Speaker 2: worried about Britain not having free speech, This is not 289 00:16:18,120 --> 00:16:21,120 Speaker 2: what's causing the problem. The problem is being caused by 290 00:16:21,600 --> 00:16:24,360 Speaker 2: the policies that you have, and it's been going on 291 00:16:24,440 --> 00:16:26,240 Speaker 2: for a long time. We're going to play a clip 292 00:16:26,280 --> 00:16:29,440 Speaker 2: from Constantine Kissin. This is from a few years ago 293 00:16:29,560 --> 00:16:32,960 Speaker 2: where he exposed this issue originally at least to me 294 00:16:33,200 --> 00:16:35,160 Speaker 2: and to many other people in the UK. 295 00:16:35,440 --> 00:16:38,800 Speaker 5: In Russia last year, four hundred people were arrested for 296 00:16:38,880 --> 00:16:41,960 Speaker 5: things that they said on social media. Four hundred people 297 00:16:41,960 --> 00:16:44,600 Speaker 5: in Russia. Obviously this country is very different. How many 298 00:16:44,640 --> 00:16:46,560 Speaker 5: people do you think were arrested in Britain for things 299 00:16:46,600 --> 00:16:48,920 Speaker 5: they said on social media last year? Go on, take 300 00:16:48,960 --> 00:16:52,520 Speaker 5: a guess I've no idea. Three three hundred really. 301 00:16:52,400 --> 00:16:54,400 Speaker 2: Arrested for what I said on social media? 302 00:16:54,520 --> 00:16:56,800 Speaker 5: What sort of things get you up? One example I've 303 00:16:56,800 --> 00:16:59,480 Speaker 5: given my show is there was a young woman from 304 00:16:59,560 --> 00:17:02,720 Speaker 5: Liverpool called Chelsea Russell, and people can look this up. 305 00:17:03,760 --> 00:17:05,800 Speaker 5: Her friend was killed in a car crash, nineteen year 306 00:17:05,800 --> 00:17:08,560 Speaker 5: old woman, and she posted the lyrics of his favorite 307 00:17:08,560 --> 00:17:11,040 Speaker 5: song on her Instagram and there was a rap song, 308 00:17:11,160 --> 00:17:13,840 Speaker 5: so the lyrics contained several instances of the N word. 309 00:17:13,920 --> 00:17:19,880 Speaker 5: She was arrested, prosecuted, found guilty, given five hundred dollars 310 00:17:19,880 --> 00:17:23,920 Speaker 5: of community service and a fine tagged, and for a 311 00:17:24,040 --> 00:17:26,760 Speaker 5: year she was under eight pm to a am curfew. 312 00:17:28,000 --> 00:17:30,120 Speaker 2: My goodness in Britain. 313 00:17:30,440 --> 00:17:33,800 Speaker 5: In Britain in twenty eighteen, the. 314 00:17:33,760 --> 00:17:36,639 Speaker 2: Police state, Yeah, there's no other way to look at that. 315 00:17:36,920 --> 00:17:41,119 Speaker 2: And you know, the thing is so Graham Lineman, the comedian. 316 00:17:41,640 --> 00:17:45,680 Speaker 2: He posted his story on his substack. He also has 317 00:17:45,800 --> 00:17:50,320 Speaker 2: a recording of the original. He started recording when the 318 00:17:50,359 --> 00:17:52,960 Speaker 2: police approached him and what they were saying to him, 319 00:17:53,119 --> 00:17:55,919 Speaker 2: and there's a moment where they say you're under arrest 320 00:17:56,040 --> 00:18:00,359 Speaker 2: and he cannot believe it. He is just besides himself. 321 00:18:00,400 --> 00:18:02,240 Speaker 2: I mean, it's all all curse words, So we're not 322 00:18:02,280 --> 00:18:05,359 Speaker 2: going to play it. But there's a lot of just 323 00:18:06,000 --> 00:18:09,080 Speaker 2: shock in his voice and the sounds that he's making. 324 00:18:09,400 --> 00:18:12,880 Speaker 2: It is somebody who is absolutely baffled that his words 325 00:18:13,000 --> 00:18:15,640 Speaker 2: on the internet are getting him arrested. And I will 326 00:18:15,680 --> 00:18:17,879 Speaker 2: say the other thing is is like people are like, go, 327 00:18:17,960 --> 00:18:20,959 Speaker 2: what did he say? He did not say anything that 328 00:18:21,040 --> 00:18:23,840 Speaker 2: warrants anything even remotely close to this kind of response. 329 00:18:24,040 --> 00:18:26,399 Speaker 2: I'll say that the worst thing that he said was 330 00:18:26,800 --> 00:18:30,119 Speaker 2: if a man is in a woman's bathroom, you should 331 00:18:30,160 --> 00:18:33,480 Speaker 2: call the police, you should confront them, and you should 332 00:18:33,680 --> 00:18:37,159 Speaker 2: kick him in the balls if you have to. And 333 00:18:37,200 --> 00:18:39,439 Speaker 2: that is the worst of it. And the rest of 334 00:18:39,440 --> 00:18:43,560 Speaker 2: it is like he posted a photo of a pro 335 00:18:43,640 --> 00:18:46,080 Speaker 2: trans march and he said you could smell this picture. 336 00:18:46,480 --> 00:18:48,240 Speaker 2: I mean, that was one of the tweets that they 337 00:18:48,520 --> 00:18:52,959 Speaker 2: mentioned had gotten him into trouble. This is absolute insanity 338 00:18:53,240 --> 00:18:57,199 Speaker 2: and I don't know how British people can go on 339 00:18:57,880 --> 00:19:00,200 Speaker 2: knowing that they could be arrested for this kind of thing, 340 00:19:00,440 --> 00:19:03,280 Speaker 2: knowing that their words on the internet, knowing that they're 341 00:19:03,320 --> 00:19:07,520 Speaker 2: being compared unfavorably to Russia for freedom of speech. 342 00:19:07,680 --> 00:19:10,600 Speaker 1: Well, and first of all, if saying kick him in 343 00:19:10,640 --> 00:19:13,680 Speaker 1: the balls was a crime. Every single My siblings and 344 00:19:13,720 --> 00:19:16,639 Speaker 1: I would have been arrested so many times as children. 345 00:19:17,320 --> 00:19:20,560 Speaker 1: But no, what, how do you speak at all if 346 00:19:20,600 --> 00:19:23,280 Speaker 1: these are the rules? And I think he was made 347 00:19:23,320 --> 00:19:26,320 Speaker 1: an example so that people know you can't be making 348 00:19:26,400 --> 00:19:30,399 Speaker 1: jokes like this, you can't be making untoward comments. And 349 00:19:30,440 --> 00:19:34,600 Speaker 1: again the difference between what you use law enforcement for. 350 00:19:34,960 --> 00:19:37,320 Speaker 1: Like the people in our country and certainly the people 351 00:19:37,359 --> 00:19:39,600 Speaker 1: of the left in Britain would tell me that the 352 00:19:39,720 --> 00:19:43,879 Speaker 1: National Guard and ICE are fascists, right, that we're living 353 00:19:43,920 --> 00:19:46,400 Speaker 1: in a police state because I saw National Guard when 354 00:19:46,400 --> 00:19:49,280 Speaker 1: I was leaving Union Station, because they had removed homeless 355 00:19:49,280 --> 00:19:52,960 Speaker 1: camps and were going after people who might do violent crime. Right, 356 00:19:53,760 --> 00:19:58,080 Speaker 1: I'm actually okay with that use of law enforcement and military. 357 00:19:59,160 --> 00:20:03,240 Speaker 1: Those same people we're happy to use law enforcement to 358 00:20:03,359 --> 00:20:07,359 Speaker 1: go after people having barbecues in their backyards five years ago, 359 00:20:08,160 --> 00:20:11,080 Speaker 1: and would happily use it to go after wrong speak 360 00:20:11,160 --> 00:20:15,080 Speaker 1: in the United States, many of them led by Nina Jankowitz, 361 00:20:15,080 --> 00:20:18,840 Speaker 1: the former head of the Disinformation Agency within the United 362 00:20:18,880 --> 00:20:23,200 Speaker 1: States government. And I just can't take their argument seriously 363 00:20:23,520 --> 00:20:26,000 Speaker 1: when they come at me about the nice, peaceful National 364 00:20:26,000 --> 00:20:30,080 Speaker 1: guardsmen from Minnesota standing outside union station. 365 00:20:30,480 --> 00:20:34,680 Speaker 2: Yeah, that's fascism. Not arresting comedians for words online. 366 00:20:35,359 --> 00:20:37,440 Speaker 1: This one is. And I do want to note also 367 00:20:37,560 --> 00:20:40,240 Speaker 1: to think just a reminder about our media on this 368 00:20:40,960 --> 00:20:47,240 Speaker 1: sixty minutes like a flagship program, interviewed German speech police. 369 00:20:47,280 --> 00:20:50,679 Speaker 1: There's actually it was on the show. He covered it 370 00:20:50,720 --> 00:20:53,800 Speaker 1: a thirteen minute fawning segment a couple of months ago, 371 00:20:53,920 --> 00:20:56,640 Speaker 1: and this was the opening to it. In the United States, 372 00:20:56,880 --> 00:20:59,440 Speaker 1: most of what anyone says, sends or streams online, even 373 00:20:59,480 --> 00:21:01,680 Speaker 1: if it's hate filed or toxic, is protected as free 374 00:21:01,720 --> 00:21:04,679 Speaker 1: speech under the First Amendment. But Germany is trying to 375 00:21:04,720 --> 00:21:08,200 Speaker 1: bring some civility to the World Wide Web by policing 376 00:21:08,240 --> 00:21:11,560 Speaker 1: it in a way most Americans could never imagine. As 377 00:21:11,600 --> 00:21:14,040 Speaker 1: we saw it often begins with a pre dawn wake 378 00:21:14,119 --> 00:21:17,919 Speaker 1: up call from the police, and then they happily tagged 379 00:21:17,960 --> 00:21:22,880 Speaker 1: along for a bust right man for speaking. 380 00:21:23,520 --> 00:21:26,040 Speaker 2: Yeah, I don't want to be like Germany, but thanks 381 00:21:26,200 --> 00:21:27,679 Speaker 2: for that. Sixty minutes. 382 00:21:27,800 --> 00:21:30,520 Speaker 1: Thanks sixty minutes. This is bad y y'all don't want 383 00:21:30,520 --> 00:21:31,639 Speaker 1: to do this. We don't want to do this. 384 00:21:32,119 --> 00:21:34,520 Speaker 2: Well, we'll be right back on normally where we're going 385 00:21:34,600 --> 00:21:38,840 Speaker 2: to talk the US population may be shrinking, possibly shrinking, 386 00:21:38,960 --> 00:21:42,280 Speaker 2: could be shrinking, and what that means be right back 387 00:21:42,280 --> 00:21:42,840 Speaker 2: on normally. 388 00:21:46,160 --> 00:21:49,359 Speaker 1: All right, we are back on normally with more news 389 00:21:49,400 --> 00:21:52,760 Speaker 1: about the American population, with the with the birth rate, 390 00:21:53,040 --> 00:21:56,280 Speaker 1: with the natalism. We like to talk about babies here, kuju, 391 00:21:56,640 --> 00:21:57,679 Speaker 1: what's going on today? 392 00:21:58,160 --> 00:22:01,720 Speaker 2: Well. Derek Thompson, he is the author of the book 393 00:22:01,760 --> 00:22:05,800 Speaker 2: I like to call Republicans for Republicanism from twenty years 394 00:22:05,800 --> 00:22:09,919 Speaker 2: ago for Democrats Prey, which is actually just called Abundance, 395 00:22:10,920 --> 00:22:14,919 Speaker 2: posted this tweet the US population could shrink for the 396 00:22:14,960 --> 00:22:17,840 Speaker 2: first time ever in twenty twenty five, and he says 397 00:22:18,240 --> 00:22:21,639 Speaker 2: three things that could happen next labor shortages and construction, 398 00:22:21,800 --> 00:22:25,200 Speaker 2: farming and care, big demographic issues for New York City, 399 00:22:25,320 --> 00:22:28,960 Speaker 2: LA and other big US metros, coverage age and US 400 00:22:29,000 --> 00:22:32,960 Speaker 2: instantly rises. Now here's my major problem with this. For 401 00:22:33,040 --> 00:22:36,560 Speaker 2: one thing, anything that has like could shrink could happen 402 00:22:36,760 --> 00:22:38,160 Speaker 2: if you don't even know if it's going to happen, 403 00:22:38,240 --> 00:22:40,359 Speaker 2: but you're already trying to scare us about it. But 404 00:22:40,400 --> 00:22:43,400 Speaker 2: the second thing is he posted these images that are 405 00:22:43,440 --> 00:22:47,480 Speaker 2: like immigrant workers in the construction labor force twenty twenty three. 406 00:22:48,200 --> 00:22:51,440 Speaker 2: I'm an immigrant I'm an immigrant, and I don't understand 407 00:22:51,440 --> 00:22:54,360 Speaker 2: why you're lumping us in with the people that were 408 00:22:54,359 --> 00:22:57,239 Speaker 2: coming in illegally across the border, which is what this is. 409 00:22:57,280 --> 00:23:00,480 Speaker 2: He's trying to say, Look another thing. Immigrant to count 410 00:23:00,480 --> 00:23:03,240 Speaker 2: for more than a quarter of all physicians at US hospitals. 411 00:23:03,480 --> 00:23:06,280 Speaker 2: So you're telling me that a doctor who came here 412 00:23:06,640 --> 00:23:10,560 Speaker 2: twenty five years ago legally is that's the concern to you. 413 00:23:10,560 --> 00:23:12,520 Speaker 2: You think we're going to lose those people, because we're not. 414 00:23:12,600 --> 00:23:17,040 Speaker 2: That's not who we're losing. Demographic components of change. Yes, 415 00:23:17,160 --> 00:23:20,040 Speaker 2: a lot of young men came in on their own 416 00:23:20,119 --> 00:23:23,560 Speaker 2: across our poorest border over the last decade, and now 417 00:23:23,640 --> 00:23:26,000 Speaker 2: that's been put to a stop. So yes, our age 418 00:23:26,080 --> 00:23:28,679 Speaker 2: is going to go up because we've stopped that flow. 419 00:23:29,240 --> 00:23:31,960 Speaker 2: All of this is designed to make people afraid of 420 00:23:32,000 --> 00:23:35,400 Speaker 2: fighting illegal immigration. If we really are going to have 421 00:23:35,520 --> 00:23:40,240 Speaker 2: labor shortages in these fields, we could always have legal immigration. 422 00:23:40,400 --> 00:23:42,919 Speaker 2: We could always bring in guest workers, we could do 423 00:23:43,520 --> 00:23:45,600 Speaker 2: a lot of different things that we've been unable to 424 00:23:45,640 --> 00:23:49,080 Speaker 2: do because we had this deluge at the border. 425 00:23:49,440 --> 00:23:53,000 Speaker 1: Well it's funny because this is like a warning sign 426 00:23:53,160 --> 00:23:59,320 Speaker 1: for fewer citizens means bad things, right, But they don't care. 427 00:23:59,400 --> 00:24:02,360 Speaker 1: They just mean they just need people, right. Their argument 428 00:24:02,440 --> 00:24:05,840 Speaker 1: often is that the only source of vibrancy or population 429 00:24:06,880 --> 00:24:11,600 Speaker 1: should and can be only illegal immigration. And I just 430 00:24:11,600 --> 00:24:15,360 Speaker 1: don't believe that to be the truth. And then if 431 00:24:15,359 --> 00:24:19,399 Speaker 1: you talk about natalism and if you talk about babies, 432 00:24:19,480 --> 00:24:23,439 Speaker 1: then you're a weirdo. But he's conceding that fewer people 433 00:24:23,720 --> 00:24:27,720 Speaker 1: and an older population can be not great for societies, 434 00:24:27,760 --> 00:24:30,960 Speaker 1: as we have seen in places like Japan for instance. 435 00:24:31,560 --> 00:24:33,960 Speaker 1: Uh And so I don't know, I'm really not sure 436 00:24:34,840 --> 00:24:38,760 Speaker 1: how to square this circle when it comes to talking 437 00:24:38,800 --> 00:24:41,440 Speaker 1: about these issues. 438 00:24:40,280 --> 00:24:43,840 Speaker 2: Especially especially as on our last episode we talked about 439 00:24:43,920 --> 00:24:46,680 Speaker 2: the writer at the Financial Times who discovered that maybe 440 00:24:46,720 --> 00:24:49,120 Speaker 2: liberals should be having more kids and the kids who 441 00:24:49,119 --> 00:24:51,120 Speaker 2: are being born in the US are larger being born 442 00:24:51,160 --> 00:24:53,640 Speaker 2: to conservative families and what that means for them politically 443 00:24:53,640 --> 00:24:55,480 Speaker 2: and all of that. So, now that you guys have 444 00:24:55,600 --> 00:24:58,680 Speaker 2: made that leap, maybe make the next leap of yeah, 445 00:24:58,680 --> 00:24:59,800 Speaker 2: we're going to need more kids. 446 00:25:00,760 --> 00:25:03,240 Speaker 1: By the way, the big demographic issues for New York City, 447 00:25:03,440 --> 00:25:07,160 Speaker 1: LA and other big US metros, which he notes again 448 00:25:07,280 --> 00:25:12,800 Speaker 1: these are these little time bombs planted during COVID and 449 00:25:12,960 --> 00:25:16,320 Speaker 1: before because there was some you know, as cities began 450 00:25:16,400 --> 00:25:19,600 Speaker 1: to turn way left and liberals began to turn way 451 00:25:19,680 --> 00:25:21,840 Speaker 1: left and to forget about governing, which is what Derek 452 00:25:21,880 --> 00:25:24,040 Speaker 1: Thompson is trying to encourage them to care about again. 453 00:25:24,680 --> 00:25:28,840 Speaker 1: People started leaving. People started leaving, and then I term 454 00:25:28,880 --> 00:25:33,320 Speaker 1: it in twenty twenty, I watched cities commit suicide exactly. 455 00:25:33,440 --> 00:25:37,560 Speaker 1: I was like, you're telling commercial real estate to hollow 456 00:25:37,600 --> 00:25:41,440 Speaker 1: itself out. You're telling your entire tax space that commutes 457 00:25:41,480 --> 00:25:44,280 Speaker 1: in not to come. You're telling people that they're going 458 00:25:44,359 --> 00:25:46,160 Speaker 1: to spend a lot of money to live in this city, 459 00:25:46,160 --> 00:25:48,320 Speaker 1: but it no longer has any of the perks that 460 00:25:48,440 --> 00:25:51,760 Speaker 1: it had before, like great restaurants and entertainment and zoos 461 00:25:51,800 --> 00:25:54,439 Speaker 1: and museums. And also they're going to get mugged more often. 462 00:25:54,600 --> 00:25:56,439 Speaker 1: It's not going to go well for you, and it 463 00:25:56,560 --> 00:25:58,600 Speaker 1: hasn't gone well for them, And this is going to 464 00:25:58,640 --> 00:26:01,760 Speaker 1: have electoral con sequences moving forward. 465 00:26:02,320 --> 00:26:05,440 Speaker 2: Only someone had seen this coming, Mary Catherine, If only 466 00:26:05,480 --> 00:26:06,560 Speaker 2: someone had said something. 467 00:26:07,040 --> 00:26:08,399 Speaker 1: I feel like we said a few things. 468 00:26:08,600 --> 00:26:12,119 Speaker 2: Thanks for joining us on normally normally airs Tuesdays and Thursdays, 469 00:26:12,160 --> 00:26:15,080 Speaker 2: and you can subscribe anywhere you get your podcasts. Get 470 00:26:15,119 --> 00:26:18,360 Speaker 2: in touch with us at Normallythepod at gmail dot com. 471 00:26:18,359 --> 00:26:21,240 Speaker 2: Thanks for listening and when things get weird at normally