1 00:00:07,000 --> 00:00:07,920 Speaker 1: Yeah, I'm back. 2 00:00:08,240 --> 00:00:10,119 Speaker 2: Normally the show was normally it takes for when the 3 00:00:10,160 --> 00:00:11,160 Speaker 2: music getting weird. 4 00:00:11,200 --> 00:00:14,280 Speaker 1: I am Mary kathn Neil, and I'm Carol Markowitz, Mary Catherine. 5 00:00:14,280 --> 00:00:15,440 Speaker 1: Did you watch that Super Bowl? 6 00:00:16,079 --> 00:00:16,640 Speaker 2: I did. 7 00:00:16,960 --> 00:00:20,599 Speaker 3: It was not the most scintillating super Bowl, but what 8 00:00:20,720 --> 00:00:22,840 Speaker 3: the Pancriots lost, which is all I was rooting for 9 00:00:22,960 --> 00:00:25,279 Speaker 3: so well, and the head coach of the Seahawks is 10 00:00:25,280 --> 00:00:27,320 Speaker 3: a dog, so I got to be excited about that. 11 00:00:27,800 --> 00:00:29,160 Speaker 2: Yes, I watched. 12 00:00:29,160 --> 00:00:31,200 Speaker 1: I know that in advance I would have extra rooted 13 00:00:31,200 --> 00:00:33,519 Speaker 1: for the Seahawks instead of just rooted for them by 14 00:00:33,560 --> 00:00:35,120 Speaker 1: default because I hate the Patriots. 15 00:00:35,240 --> 00:00:37,280 Speaker 2: So many did, Yes, so many did. I watched the 16 00:00:37,320 --> 00:00:38,080 Speaker 2: halftime show. 17 00:00:38,960 --> 00:00:39,480 Speaker 1: Yeah. 18 00:00:39,760 --> 00:00:42,840 Speaker 2: I tend not to get too wrapped up in that. 19 00:00:43,000 --> 00:00:46,600 Speaker 3: It's like, yes, but I would prefer my generation get 20 00:00:46,600 --> 00:00:48,160 Speaker 3: a few more Super Bowls before we. 21 00:00:48,080 --> 00:00:51,159 Speaker 1: Move on to the yards too. Yes, you know, I 22 00:00:51,520 --> 00:00:54,400 Speaker 1: did not watch the halftime show. We did switch to 23 00:00:54,480 --> 00:00:58,000 Speaker 1: the Turning Point one, and then I watched The Bad 24 00:00:58,000 --> 00:01:00,120 Speaker 1: Bunny one this morning just to kind of catch up 25 00:01:00,120 --> 00:01:02,840 Speaker 1: on everything. I don't know, I didn't. I don't mind 26 00:01:02,960 --> 00:01:07,800 Speaker 1: his music, and it's not even the Spanish or you know, 27 00:01:07,920 --> 00:01:09,760 Speaker 1: all being in Spanish that I had a problem with. 28 00:01:10,080 --> 00:01:12,600 Speaker 1: I really did have a problem with the God bless America. 29 00:01:12,640 --> 00:01:15,000 Speaker 1: And then listen to all the countries in norths and 30 00:01:15,040 --> 00:01:17,520 Speaker 1: South America as if that's what you're talking about when 31 00:01:17,560 --> 00:01:21,559 Speaker 1: you're talking about God blessing America. It just don't try 32 00:01:21,560 --> 00:01:24,160 Speaker 1: to like fool us with this nonsense. 33 00:01:24,360 --> 00:01:26,520 Speaker 3: Now that's the part I don't like too, where it's 34 00:01:26,560 --> 00:01:29,600 Speaker 3: like I see you, I see what's happening exactly like. 35 00:01:29,520 --> 00:01:31,800 Speaker 1: We know what's happening. And I have to say this 36 00:01:31,840 --> 00:01:35,120 Speaker 1: about the Turning Point Show, I thought I would not 37 00:01:35,240 --> 00:01:37,120 Speaker 1: have any idea, Like I thought I would have no 38 00:01:37,240 --> 00:01:40,679 Speaker 1: clue who any of the stars on their performance were. 39 00:01:40,720 --> 00:01:43,200 Speaker 1: I mean, kid rock obviously I know. But like everybody else, 40 00:01:43,480 --> 00:01:46,000 Speaker 1: I turn it on and this woman is singing a 41 00:01:46,040 --> 00:01:48,880 Speaker 1: country song that I know, you know, the I hope 42 00:01:49,360 --> 00:01:52,480 Speaker 1: by Gabby Barrett, I hope you know next time she 43 00:01:52,840 --> 00:01:55,360 Speaker 1: cheats on you. Whatever the But I was like, I 44 00:01:55,400 --> 00:01:58,480 Speaker 1: know this one, and that's crazy. They got somebody that 45 00:01:58,520 --> 00:01:59,080 Speaker 1: I've heard of. 46 00:01:59,200 --> 00:01:59,960 Speaker 2: That's wow. 47 00:02:00,440 --> 00:02:02,360 Speaker 3: I thought it was interesting that the Bad Bunny Thing, 48 00:02:02,520 --> 00:02:05,160 Speaker 3: I know it's a play for younger people. It was 49 00:02:05,320 --> 00:02:07,400 Speaker 3: I was watching a lot of reels with NFL players 50 00:02:07,400 --> 00:02:09,880 Speaker 3: where they were asking them, what's your favorite maybe Bad 51 00:02:09,919 --> 00:02:13,120 Speaker 3: Bunny song, and they're like, they clearly didn't have one, 52 00:02:13,280 --> 00:02:16,440 Speaker 3: So it's missing at least part of the demo, even 53 00:02:16,520 --> 00:02:19,040 Speaker 3: among the young and the hip. I thought the staging 54 00:02:19,200 --> 00:02:22,880 Speaker 3: was cool, but it is like the NFL is just 55 00:02:23,880 --> 00:02:27,720 Speaker 3: trying to reach an international audience still filled with left 56 00:02:27,760 --> 00:02:31,399 Speaker 3: leaning executives, and their way to reach an international audience 57 00:02:31,720 --> 00:02:34,800 Speaker 3: is to not be like America is awesome. Here we are, 58 00:02:34,840 --> 00:02:38,520 Speaker 3: here's some flyovers and the most successful sport that we created, 59 00:02:38,800 --> 00:02:40,760 Speaker 3: the most successful TV product there is. 60 00:02:41,040 --> 00:02:44,560 Speaker 2: Their version is well cater to you, Well cater to you. 61 00:02:44,760 --> 00:02:47,400 Speaker 1: Yeah, and this isn't even one of our topics. But 62 00:02:47,440 --> 00:02:50,440 Speaker 1: of course I know, how did you? But Ricky Martin 63 00:02:50,480 --> 00:02:52,200 Speaker 1: and I'll have a piece about this in Fox Too, 64 00:02:52,200 --> 00:02:54,640 Speaker 1: because I it was on my mind this whole halftime show. 65 00:02:54,639 --> 00:02:57,320 Speaker 1: But Ricky Martin joins Bad Bunny on stage for a 66 00:02:57,400 --> 00:03:00,880 Speaker 1: song Loke Paso and Hawaii what happened into Hawaii? And 67 00:03:00,919 --> 00:03:05,400 Speaker 1: it's about Hawaii becoming gentrified and newcomers moving in and 68 00:03:05,480 --> 00:03:08,080 Speaker 1: people who live there not being able to afford their lifestyle. 69 00:03:08,480 --> 00:03:10,400 Speaker 1: It's like, you know, you could apply this to the 70 00:03:10,400 --> 00:03:13,280 Speaker 1: rest of the country and talk about illegal immigration, right, like, 71 00:03:13,720 --> 00:03:15,680 Speaker 1: you know what you're saying here, Like what happened to 72 00:03:15,720 --> 00:03:18,760 Speaker 1: Hawaii could be what happened to America. It's not specific 73 00:03:18,800 --> 00:03:19,399 Speaker 1: to Hawaii. 74 00:03:20,400 --> 00:03:22,600 Speaker 3: Uh. One last point on this that with the Ricky 75 00:03:22,600 --> 00:03:25,000 Speaker 3: Martin thing, I appreciated a little Ricky Martin that was 76 00:03:25,040 --> 00:03:28,760 Speaker 3: my generation. Look, it looks great this thing that that 77 00:03:28,840 --> 00:03:33,520 Speaker 3: the left always does where they say finally there's representation. 78 00:03:34,360 --> 00:03:37,560 Speaker 3: And in the show where you're saying there's finally representation 79 00:03:38,200 --> 00:03:40,960 Speaker 3: is Ricky Martin, who was one of these central faces 80 00:03:41,400 --> 00:03:46,280 Speaker 3: of the giant Latin pop moment that lasted several years 81 00:03:46,320 --> 00:03:48,600 Speaker 3: and was almost all of. 82 00:03:48,680 --> 00:03:50,240 Speaker 2: Pop music at the time. 83 00:03:50,680 --> 00:03:52,240 Speaker 3: Like if you look at the if you look at 84 00:03:52,240 --> 00:03:57,160 Speaker 3: the TRL countdown around the Ricky Martin era, nothing but 85 00:03:57,240 --> 00:04:01,280 Speaker 3: Latin influenced music. Yeah, so I hate racing that to 86 00:04:01,440 --> 00:04:04,200 Speaker 3: claim that finally we're redeemed by bad money. 87 00:04:04,520 --> 00:04:09,080 Speaker 1: Gloria Stefan, she was a thing. Yeah yeah, all right, 88 00:04:09,200 --> 00:04:14,080 Speaker 1: let's get into the actual news day. All right, what's 89 00:04:14,120 --> 00:04:18,600 Speaker 1: our first story? The ring camera commercial? I liked it. 90 00:04:19,240 --> 00:04:21,160 Speaker 3: Goodness. Okay, we can have a disagreement on this. Can 91 00:04:21,200 --> 00:04:24,200 Speaker 3: we play the ring camera commercial from the Super bowl. 92 00:04:25,440 --> 00:04:29,080 Speaker 4: This is my low HET's her family. But every year 93 00:04:29,480 --> 00:04:31,840 Speaker 4: ten million go missing, and the way we look for 94 00:04:31,880 --> 00:04:37,240 Speaker 4: them hasn't changed in years until now. One post of 95 00:04:37,279 --> 00:04:39,599 Speaker 4: a dog's photo in the Ring app starts outdoor cameras 96 00:04:39,640 --> 00:04:42,200 Speaker 4: looking for a match. Search Party from Ring uses AI 97 00:04:42,279 --> 00:04:45,240 Speaker 4: to help families find lost dogs. Since launch, more than 98 00:04:45,240 --> 00:04:47,480 Speaker 4: a dog a day has been reunited with their family. 99 00:04:47,560 --> 00:04:50,440 Speaker 4: Be a hero in your neighborhood with Search Party available 100 00:04:50,440 --> 00:04:54,320 Speaker 4: to everyone for free right now. Join the Neighborhood at 101 00:04:54,400 --> 00:04:55,360 Speaker 4: rain dot com. 102 00:04:55,880 --> 00:04:56,760 Speaker 1: It's so touching. 103 00:04:57,560 --> 00:04:59,640 Speaker 2: Let me let you get on a secret. Guys, where 104 00:04:59,640 --> 00:05:00,479 Speaker 2: are the dogs? 105 00:05:00,560 --> 00:05:02,159 Speaker 1: Yeah, they're not going to just use it on them. 106 00:05:02,240 --> 00:05:03,719 Speaker 1: We're the dogs. 107 00:05:04,000 --> 00:05:07,839 Speaker 3: Like no, oh wait, my Ring camera can be automatically 108 00:05:07,920 --> 00:05:10,280 Speaker 3: deployed without my knowledge or consent. 109 00:05:11,080 --> 00:05:13,080 Speaker 2: Maybe there's some box you check that says yes. 110 00:05:13,240 --> 00:05:16,599 Speaker 3: But this is this weird thing where we've opted into 111 00:05:16,839 --> 00:05:20,120 Speaker 3: mass surveillance, which can have many upsides. 112 00:05:20,200 --> 00:05:22,039 Speaker 2: Right, you can solve crimes more easily. 113 00:05:22,080 --> 00:05:24,719 Speaker 3: One time I bought something off a Facebook marketplace and 114 00:05:24,760 --> 00:05:27,000 Speaker 3: lost a piece of it and surveilled myself trying to 115 00:05:27,000 --> 00:05:27,839 Speaker 3: find where I had left. 116 00:05:28,720 --> 00:05:29,800 Speaker 2: That's cool, it. 117 00:05:29,760 --> 00:05:33,839 Speaker 3: Worked, by the way, but there are significant downsides and 118 00:05:34,120 --> 00:05:38,560 Speaker 3: every tool that law enforcement can use, they will use, 119 00:05:38,600 --> 00:05:41,799 Speaker 3: and sometimes that will be an invasion of privacy. 120 00:05:41,839 --> 00:05:44,159 Speaker 2: And I just thought that ad was like, I know 121 00:05:44,200 --> 00:05:47,039 Speaker 2: you're using the dogs guys that I see you, I 122 00:05:47,120 --> 00:05:48,120 Speaker 2: see what's happening here. 123 00:05:48,600 --> 00:05:50,760 Speaker 1: Right. The thing is, I guess I just think that 124 00:05:50,839 --> 00:05:52,880 Speaker 1: ship has sailed, like it is something that I would 125 00:05:52,880 --> 00:05:56,320 Speaker 1: have definitely been concerned about fifteen years ago. And now 126 00:05:56,360 --> 00:05:59,440 Speaker 1: I just think, like, go outside and there are cameras 127 00:05:59,440 --> 00:06:03,240 Speaker 1: everywhere and they're watching you, and it's over. Like the 128 00:06:03,320 --> 00:06:06,159 Speaker 1: idea that you're not going to be watched on house 129 00:06:06,240 --> 00:06:08,839 Speaker 1: cameras is you know. I just think it's that that 130 00:06:09,279 --> 00:06:13,559 Speaker 1: time has passed. I completely understand the concern and feel 131 00:06:13,600 --> 00:06:15,640 Speaker 1: it also, but just don't feel like there's anything we 132 00:06:15,680 --> 00:06:16,360 Speaker 1: can do about it. 133 00:06:16,640 --> 00:06:18,800 Speaker 3: Yeah, I'm I'm sort of with you where it like 134 00:06:19,040 --> 00:06:21,760 Speaker 3: it rankles me, and then I'm like, I'm part of this, 135 00:06:21,920 --> 00:06:26,680 Speaker 3: Like I've put my face and my voice everywhere, same right, 136 00:06:26,720 --> 00:06:30,360 Speaker 3: And and I do also appreciate that you can have 137 00:06:31,440 --> 00:06:35,680 Speaker 3: video to figure out where crimes happened or whether crimes happened, right, 138 00:06:35,800 --> 00:06:36,880 Speaker 3: you can you can. 139 00:06:36,839 --> 00:06:39,839 Speaker 1: You can see the face possibility for sure. 140 00:06:41,200 --> 00:06:44,400 Speaker 3: Yeah, Well, on this a similar front I want to 141 00:06:44,400 --> 00:06:47,919 Speaker 3: give us an update from the Democrats demands for ice 142 00:06:48,000 --> 00:06:51,640 Speaker 3: because it sort of dovetails with the ring camera. This 143 00:06:51,680 --> 00:06:54,839 Speaker 3: is maybe the quickest I've ever seen Democrats and liberals 144 00:06:54,839 --> 00:06:57,080 Speaker 3: go from this is the righteous thing to wait, no, 145 00:06:57,320 --> 00:06:58,640 Speaker 3: the opposite. 146 00:06:58,080 --> 00:06:59,599 Speaker 2: Is a righteous thing. Are you ready for this? 147 00:06:59,600 --> 00:07:04,840 Speaker 3: Headline for political ice Surveillance concerns shift Democrats demands for 148 00:07:04,920 --> 00:07:08,479 Speaker 3: body cameras. Critics fear the cameras could be used to 149 00:07:08,520 --> 00:07:13,440 Speaker 3: feed video of protesters into facial recognition tools. So the 150 00:07:13,560 --> 00:07:16,920 Speaker 3: thing that they were like, let's must have ice do this, 151 00:07:16,960 --> 00:07:19,640 Speaker 3: we have to do this to protect everyone. They are 152 00:07:19,720 --> 00:07:22,400 Speaker 3: now at the last minute when actually a bunch of 153 00:07:22,400 --> 00:07:25,000 Speaker 3: people like me because all other law enforcement uses body cams. 154 00:07:25,000 --> 00:07:26,000 Speaker 2: I'm like, that's fine with me. 155 00:07:26,560 --> 00:07:30,080 Speaker 3: Then they go, no, no, we don't like body cams anymore. 156 00:07:30,840 --> 00:07:33,400 Speaker 1: So funny, you know, they should have been onto this 157 00:07:33,520 --> 00:07:37,280 Speaker 1: when they demanded police officers have body cameras, and all 158 00:07:37,320 --> 00:07:39,960 Speaker 1: conservatives are like, yeah, I think I agree with that. 159 00:07:41,240 --> 00:07:43,240 Speaker 1: We were like all for it. Of course they should 160 00:07:43,240 --> 00:07:46,640 Speaker 1: have body cameras. Sure, record all the interactions that they 161 00:07:46,640 --> 00:07:49,880 Speaker 1: have with you know, potential criminals, and let's see if 162 00:07:49,880 --> 00:07:51,640 Speaker 1: they behave correctly of course. 163 00:07:51,760 --> 00:07:54,200 Speaker 3: Well, and it does seem like there's a shift in 164 00:07:54,840 --> 00:07:56,840 Speaker 3: messaging on body cameras in general. 165 00:07:56,880 --> 00:07:58,520 Speaker 2: There was a piece in The New Yorker last week 166 00:07:58,600 --> 00:07:59,640 Speaker 2: saying that all these. 167 00:08:00,080 --> 00:08:04,880 Speaker 3: Foya able like so readily available bodycams of drunk people 168 00:08:04,960 --> 00:08:09,480 Speaker 3: doing sobriety tests and stuff, saying that they exploit women because. 169 00:08:09,240 --> 00:08:10,480 Speaker 2: There are YouTube videos. 170 00:08:10,720 --> 00:08:13,480 Speaker 3: There are YouTube channels that take these funny videos and 171 00:08:13,520 --> 00:08:15,160 Speaker 3: put them up in the worst day of your life 172 00:08:15,280 --> 00:08:16,960 Speaker 3: is on YouTube, and there's nothing. 173 00:08:16,760 --> 00:08:17,400 Speaker 2: You can do about it. 174 00:08:18,040 --> 00:08:23,280 Speaker 3: But also bodycams have revealed I think largely that cops 175 00:08:23,280 --> 00:08:25,360 Speaker 3: do a really hard job and that they are often, 176 00:08:25,440 --> 00:08:28,360 Speaker 3: though there are bad apples, they are often just having 177 00:08:28,400 --> 00:08:32,120 Speaker 3: the patience of saints and behaving really well with people 178 00:08:32,160 --> 00:08:33,520 Speaker 3: who are very very. 179 00:08:33,440 --> 00:08:35,720 Speaker 2: Challenging and or trying to kill them. And I think 180 00:08:35,720 --> 00:08:38,880 Speaker 2: the left is maybe not excited about how that worked out. 181 00:08:39,240 --> 00:08:41,880 Speaker 1: Right. Having people see that up close, I think is 182 00:08:42,400 --> 00:08:43,520 Speaker 1: not what they had in mind. 183 00:08:43,960 --> 00:08:45,160 Speaker 2: It is not what they had in mind. 184 00:08:45,720 --> 00:08:49,840 Speaker 3: There are more updates from Minnesota. You'll notice that the 185 00:08:50,000 --> 00:08:53,520 Speaker 3: news has moved on, which always is my clue to say, 186 00:08:53,880 --> 00:08:58,920 Speaker 3: that's the tell what happened, guys. So Tom Homan went 187 00:08:58,960 --> 00:09:02,680 Speaker 3: to Minneapolis he took over the process, and his most 188 00:09:02,720 --> 00:09:07,720 Speaker 3: recent report is I'm getting cooperation from the counties. They 189 00:09:07,720 --> 00:09:12,319 Speaker 3: were already getting cooperation from higher level prisons and state level, 190 00:09:12,520 --> 00:09:16,120 Speaker 3: but counties were not operating with ICE to give them 191 00:09:16,240 --> 00:09:19,440 Speaker 3: criminals from the jails, right, And so he says, I'm 192 00:09:19,440 --> 00:09:21,680 Speaker 3: getting better cooperation. We're going to cut down the number 193 00:09:21,800 --> 00:09:23,320 Speaker 3: of officers by seven hundred. 194 00:09:23,600 --> 00:09:26,360 Speaker 2: Now, there was a lot of like, oh, no, Trump caved. 195 00:09:26,679 --> 00:09:28,680 Speaker 3: I don't think that's the case, because what happened was 196 00:09:29,000 --> 00:09:32,520 Speaker 3: Trump said there will be two thousand officers ICE folks 197 00:09:32,760 --> 00:09:35,360 Speaker 3: if you guys don't help us out, and then once 198 00:09:35,400 --> 00:09:40,160 Speaker 3: Renee Good had been killed, he upped it to three thousand. 199 00:09:40,440 --> 00:09:43,320 Speaker 3: And now we're minus seven hundred, so we're still over 200 00:09:43,400 --> 00:09:46,920 Speaker 3: two thousand. Homan apparently has cooperation from people. So I 201 00:09:46,960 --> 00:09:49,720 Speaker 3: think we're like, this seems like a better place to be. 202 00:09:50,160 --> 00:09:52,160 Speaker 1: Yeah. Then we kind of knew that Homan coming in 203 00:09:52,559 --> 00:09:55,160 Speaker 1: would change the dynamics a little bit. I think it 204 00:09:55,240 --> 00:09:58,400 Speaker 1: happened faster than I expected. I didn't think that it 205 00:09:58,400 --> 00:10:00,960 Speaker 1: would happen this quickly. I didn't think they this quickly, 206 00:10:01,200 --> 00:10:02,680 Speaker 1: But here they are. 207 00:10:03,720 --> 00:10:06,200 Speaker 3: We have a little video just to see how this 208 00:10:06,679 --> 00:10:11,360 Speaker 3: the worm has turned here of CNN asking Jacob Fry, 209 00:10:11,960 --> 00:10:15,560 Speaker 3: the mayor of Minneapolis, a tough question, and I find 210 00:10:15,559 --> 00:10:16,360 Speaker 3: this fascinating. 211 00:10:16,679 --> 00:10:19,200 Speaker 5: Here we go, It is worth noting that during the 212 00:10:19,240 --> 00:10:22,600 Speaker 5: Obama years, the Hennepin County Jail actually had a policy 213 00:10:22,600 --> 00:10:25,240 Speaker 5: where they let an ICE agent keep an office they 214 00:10:25,280 --> 00:10:28,200 Speaker 5: are and allowed them to talk to immigrants. So the 215 00:10:28,200 --> 00:10:33,120 Speaker 5: policy has clearly been under a Democratic president. What now 216 00:10:33,200 --> 00:10:36,360 Speaker 5: the Trump administration is asking for? I mean, big picture, 217 00:10:36,800 --> 00:10:42,160 Speaker 5: do you think it's good policy for the jails to 218 00:10:42,360 --> 00:10:44,840 Speaker 5: follow an ICE detainer and hand someone over if they've 219 00:10:44,840 --> 00:10:47,200 Speaker 5: committed a crime. And again, this only happens after they've 220 00:10:47,240 --> 00:10:51,360 Speaker 5: served their time, you know, for whatever crime they may 221 00:10:51,360 --> 00:10:53,439 Speaker 5: have committed against the people of Minnesota. 222 00:10:53,559 --> 00:10:55,960 Speaker 6: I mean, look, you're asking all the right questions here, 223 00:10:56,480 --> 00:11:00,360 Speaker 6: and while I don't have full expertise in how the 224 00:11:00,400 --> 00:11:03,960 Speaker 6: operations that the jail are conducted, again that's not our jurisdiction. 225 00:11:04,679 --> 00:11:08,080 Speaker 6: What I would say is that there are mechanisms to 226 00:11:08,280 --> 00:11:09,640 Speaker 6: do this lawfully. 227 00:11:10,280 --> 00:11:14,800 Speaker 2: By the way, you should have full knowledge. You're the mayor, Yes, you. 228 00:11:14,760 --> 00:11:16,640 Speaker 3: Could call up a bunch of people and have them 229 00:11:16,640 --> 00:11:18,400 Speaker 3: brief you on this exactly. 230 00:11:18,440 --> 00:11:21,240 Speaker 1: And she's asking about something that's in his purviews. So 231 00:11:21,320 --> 00:11:23,920 Speaker 1: it's not like she's asking some crazy state wide questions. 232 00:11:24,040 --> 00:11:27,960 Speaker 1: She's asking me about county jails and local jails. It's just, 233 00:11:28,600 --> 00:11:31,400 Speaker 1: you know, it's interesting because it is such a vibe shift, 234 00:11:31,440 --> 00:11:33,560 Speaker 1: and you know, we love that term on here. But 235 00:11:33,720 --> 00:11:37,760 Speaker 1: CNN pressing him at all, he seemed stunned by it. 236 00:11:38,400 --> 00:11:42,440 Speaker 2: Well, because she's saying, hey, Obama had an ice officer 237 00:11:42,640 --> 00:11:46,320 Speaker 2: hanging out in the jail to confer with, right, So 238 00:11:46,360 --> 00:11:49,600 Speaker 2: why isn't that okay? Yeah, And my question would be 239 00:11:49,640 --> 00:11:52,719 Speaker 2: the same why He's like, that's okay, question, Like think 240 00:11:52,760 --> 00:11:53,439 Speaker 2: you answer it? 241 00:11:54,200 --> 00:11:56,800 Speaker 3: So things seem to have changed. It also seems like 242 00:11:56,880 --> 00:11:59,920 Speaker 3: state and local police are doing a lot more policing 243 00:12:00,320 --> 00:12:05,079 Speaker 3: of protesters, which again is why Democrats have now decided 244 00:12:05,080 --> 00:12:08,080 Speaker 3: that they don't want tape of any of these encounters. 245 00:12:08,400 --> 00:12:13,320 Speaker 1: The videos have changed. It's no longer the protesters running rampant. 246 00:12:13,400 --> 00:12:16,400 Speaker 1: Now it's police cracking down on it. And it changed 247 00:12:16,440 --> 00:12:19,720 Speaker 1: the image for Americans. I think, like the Norman American 248 00:12:19,720 --> 00:12:22,280 Speaker 1: who didn't understand what was going on in Minnesota is 249 00:12:22,320 --> 00:12:24,719 Speaker 1: now seeing a very different picture. And I like. 250 00:12:24,720 --> 00:12:27,320 Speaker 3: That well, And to me, it's just your job is 251 00:12:27,480 --> 00:12:30,920 Speaker 3: to keep people safe. Your job is to Again, maybe 252 00:12:30,960 --> 00:12:35,439 Speaker 3: it's my only issue, but like these protesters and agitators 253 00:12:35,480 --> 00:12:37,840 Speaker 3: do not own the streets. The taxpayers do. They are 254 00:12:37,840 --> 00:12:40,120 Speaker 3: allowed to drive on them. Do not let them take 255 00:12:40,160 --> 00:12:40,760 Speaker 3: over like this. 256 00:12:41,240 --> 00:12:45,920 Speaker 1: Yeah, Evergreen, Mary Catherine Evergreen could be any cause, really, 257 00:12:45,960 --> 00:12:47,559 Speaker 1: and it will be Yes, it. 258 00:12:47,520 --> 00:12:49,600 Speaker 2: Will be all right. We will be back on normally 259 00:12:49,640 --> 00:12:56,120 Speaker 2: with more on the dismantling of the Washington Post. 260 00:12:56,960 --> 00:13:01,040 Speaker 1: We are back on normally where the Washington had a 261 00:13:01,160 --> 00:13:05,720 Speaker 1: round of layoffs recently, and that is because they lost 262 00:13:05,840 --> 00:13:08,920 Speaker 1: around one hundred million dollars in twenty twenty four and 263 00:13:08,960 --> 00:13:14,000 Speaker 1: their traffic has largely cratered. It's owned by Jeff Bezos, 264 00:13:14,080 --> 00:13:17,200 Speaker 1: and the vibe seems to be from the people laid 265 00:13:17,200 --> 00:13:19,160 Speaker 1: off and the people still working at the Washington Post. 266 00:13:19,559 --> 00:13:22,520 Speaker 1: Why doesn't he just continue to pay for it? And 267 00:13:22,559 --> 00:13:25,160 Speaker 1: why do we need to make money, which, let me 268 00:13:25,160 --> 00:13:28,400 Speaker 1: tell you, is not how people who have made money 269 00:13:28,480 --> 00:13:30,760 Speaker 1: think about it. They don't think, okay, let me just 270 00:13:30,880 --> 00:13:34,880 Speaker 1: own this and lose money on it continually. So Jeff 271 00:13:34,920 --> 00:13:38,920 Speaker 1: Bezos is the target here, but I don't know that 272 00:13:39,080 --> 00:13:42,760 Speaker 1: any other owner of this newspaper would have done anything differently. 273 00:13:43,320 --> 00:13:47,000 Speaker 1: The readership has dropped. Daily users fell from a peak 274 00:13:47,040 --> 00:13:50,280 Speaker 1: of twenty two point five million in January twenty twenty 275 00:13:50,280 --> 00:13:54,400 Speaker 1: one to between two point five and three million in 276 00:13:54,480 --> 00:13:58,319 Speaker 1: summer twenty twenty four. And that's you know, it's a 277 00:13:58,360 --> 00:14:00,719 Speaker 1: significant drop. As they say, I was told there'd be 278 00:14:00,800 --> 00:14:03,000 Speaker 1: no math, but I think that's around ninety percent. 279 00:14:03,280 --> 00:14:04,680 Speaker 2: It's a pretty big deal. 280 00:14:04,920 --> 00:14:07,240 Speaker 3: Well, and like, the crazy thing about journalist is that 281 00:14:07,280 --> 00:14:11,240 Speaker 3: many of them, who are also activists, argued and pushed 282 00:14:11,280 --> 00:14:17,400 Speaker 3: for happily subscription cancelations after The Washington Post decided not 283 00:14:17,520 --> 00:14:21,840 Speaker 3: to endorse in the presidential race. Okay, well, it is 284 00:14:21,880 --> 00:14:26,000 Speaker 3: hard to complain about this becoming a non viable situation 285 00:14:26,440 --> 00:14:30,600 Speaker 3: once you have encouraged people to drop their subscriptions. There's 286 00:14:31,240 --> 00:14:33,200 Speaker 3: a huge number of people who are out of jobs. 287 00:14:33,240 --> 00:14:35,840 Speaker 3: I do not think that that's something to rejoice about. 288 00:14:36,520 --> 00:14:39,320 Speaker 3: But the extent to which they do not understand that 289 00:14:39,400 --> 00:14:42,960 Speaker 3: they have made their own beds is amazing to me, 290 00:14:43,480 --> 00:14:46,760 Speaker 3: and I have never understood in all my life. Maybe 291 00:14:46,760 --> 00:14:48,560 Speaker 3: this is what makes me write a center. I have 292 00:14:48,760 --> 00:14:52,280 Speaker 3: never understood why people think they are entitled to someone 293 00:14:52,320 --> 00:14:53,160 Speaker 3: else's money. 294 00:14:53,320 --> 00:14:57,200 Speaker 1: It's bananas. And I've worked for outlets that have gone 295 00:14:57,200 --> 00:15:01,360 Speaker 1: out of business. Heat Street was owned by news Corps 296 00:15:01,400 --> 00:15:04,840 Speaker 1: and you know, went out of business, just wasn't doing well. 297 00:15:04,840 --> 00:15:09,120 Speaker 1: What are you going to do? That's life. It sucks, 298 00:15:09,280 --> 00:15:12,800 Speaker 1: but it's life. And this, you know, he only bought 299 00:15:12,800 --> 00:15:15,440 Speaker 1: the Washington Post for two hundred and fifty million and 300 00:15:15,480 --> 00:15:18,240 Speaker 1: he's already lost. I don't know, it looks it's this 301 00:15:18,280 --> 00:15:20,520 Speaker 1: says one hundred and seventy seven million over the last 302 00:15:20,560 --> 00:15:23,480 Speaker 1: two years. It's like the purchase price of the newspaper. 303 00:15:23,800 --> 00:15:25,800 Speaker 2: Yeah, it's It's very serious. 304 00:15:25,840 --> 00:15:28,360 Speaker 3: And the thing about journalists is many of them are 305 00:15:28,480 --> 00:15:32,160 Speaker 3: very well off, right, particularly like high level anchors and stuff, 306 00:15:32,160 --> 00:15:34,960 Speaker 3: who are complaining about this. And it's like, Okay, any 307 00:15:35,040 --> 00:15:37,840 Speaker 3: one of you rich people who has not taken the 308 00:15:37,920 --> 00:15:41,160 Speaker 3: portion of your salary that you can spare to hire 309 00:15:41,200 --> 00:15:43,800 Speaker 3: a full time journalist and put them on your staff 310 00:15:44,160 --> 00:15:47,040 Speaker 3: or make a new substack for them and completely fund it, 311 00:15:47,680 --> 00:15:51,920 Speaker 3: you are as morally culpable as you say, bezosis, right, 312 00:15:52,200 --> 00:15:55,080 Speaker 3: Like you're a millionaire. Why does it matter if you're 313 00:15:55,120 --> 00:15:57,720 Speaker 3: a multimillionaire, Why does it matter that he's richer? You 314 00:15:57,840 --> 00:16:02,320 Speaker 3: just your assertion is that journalists good spend money on 315 00:16:02,400 --> 00:16:03,400 Speaker 3: journalism no matter what. 316 00:16:03,800 --> 00:16:05,520 Speaker 2: Okay, do it, do it? 317 00:16:05,800 --> 00:16:10,480 Speaker 1: Yeah, which brings us to someone I hate criticizing because 318 00:16:10,520 --> 00:16:13,160 Speaker 1: she was such an inspiration to me, just you know, 319 00:16:13,200 --> 00:16:17,600 Speaker 1: getting started in the journalism world. But Peggy Noonan, her 320 00:16:17,680 --> 00:16:22,000 Speaker 1: take on this was not the best, and she writes, 321 00:16:22,120 --> 00:16:25,040 Speaker 1: I fear sometimes that few people really care about journalism, 322 00:16:25,040 --> 00:16:28,240 Speaker 1: but we are dead without it. Someday something bad will happen, 323 00:16:28,320 --> 00:16:30,760 Speaker 1: something terrible on a national scale, and the thing we'll 324 00:16:30,760 --> 00:16:34,760 Speaker 1: need most literally to survive is information, reliable information, a 325 00:16:34,800 --> 00:16:36,080 Speaker 1: way to get it and then to get it to 326 00:16:36,160 --> 00:16:39,280 Speaker 1: the public. That is what journalism is, getting the information. 327 00:16:39,880 --> 00:16:42,880 Speaker 1: And everyone kind of all at once read this and 328 00:16:42,920 --> 00:16:46,560 Speaker 1: we're like, we just had that happen and journalism failed 329 00:16:47,080 --> 00:16:51,520 Speaker 1: on a massive, massive level. Yeah, COVID was that era. 330 00:16:51,800 --> 00:16:55,520 Speaker 1: It was the time where we needed the information and 331 00:16:55,560 --> 00:16:59,080 Speaker 1: the information was so politicized that we weren't allowed to 332 00:16:59,120 --> 00:17:03,440 Speaker 1: have it and people were getting banned from Twitter, from YouTube, 333 00:17:04,040 --> 00:17:07,919 Speaker 1: and the media was literally not reporting the information that 334 00:17:07,960 --> 00:17:11,280 Speaker 1: we all knew to be true on schools, on masks, 335 00:17:11,320 --> 00:17:13,760 Speaker 1: on all of it, and that people kept giving other 336 00:17:13,840 --> 00:17:17,560 Speaker 1: examples of things that you know why American trust in 337 00:17:17,640 --> 00:17:24,560 Speaker 1: media has created. But Christina pushaw listed, Covington, Catholic Russia Gate, Kavanaugh, COVID, 338 00:17:24,680 --> 00:17:28,000 Speaker 1: BLM cover up of Biden's sanility. I mean, these are 339 00:17:28,040 --> 00:17:31,359 Speaker 1: all kind of big things that the media completely whipped 340 00:17:31,400 --> 00:17:32,920 Speaker 1: on in the last few years. 341 00:17:33,280 --> 00:17:36,240 Speaker 2: And it's group sync. It's not getting information. I wish 342 00:17:36,280 --> 00:17:38,280 Speaker 2: it was getting information. I wish it was. 343 00:17:38,680 --> 00:17:42,159 Speaker 3: I am a fourth generation newspaper journalist. I grew up 344 00:17:42,200 --> 00:17:45,800 Speaker 3: in a newspaper, metro daily war. My dad was an editor. 345 00:17:45,920 --> 00:17:50,200 Speaker 3: I value the idea of journalism. I value it when 346 00:17:50,200 --> 00:17:54,280 Speaker 3: people do it who aren't even technically Washington Post employees. 347 00:17:54,400 --> 00:17:54,600 Speaker 6: Right. 348 00:17:54,760 --> 00:17:58,639 Speaker 3: I think getting information can be democratized. And look, it 349 00:17:58,720 --> 00:18:00,960 Speaker 3: is harder to tell what's real and what's not these days, 350 00:18:00,960 --> 00:18:04,080 Speaker 3: and this is going to be the problem of the future. 351 00:18:04,359 --> 00:18:08,520 Speaker 3: But journalists didn't make it easier to tell what was 352 00:18:08,560 --> 00:18:09,320 Speaker 3: real and what was not. 353 00:18:09,400 --> 00:18:10,640 Speaker 2: They made it harder. 354 00:18:10,680 --> 00:18:13,560 Speaker 3: And COVID is the one that I think most closely 355 00:18:13,560 --> 00:18:18,800 Speaker 3: aligns with Noonan's take here. Because something terrible on a 356 00:18:18,880 --> 00:18:21,399 Speaker 3: national scale, something bad. 357 00:18:21,640 --> 00:18:24,840 Speaker 2: It's like, we just lived through this, did this? And 358 00:18:25,359 --> 00:18:26,359 Speaker 2: who just did this? 359 00:18:26,680 --> 00:18:30,880 Speaker 3: And I could count on one hand the journalists who 360 00:18:30,920 --> 00:18:35,119 Speaker 3: got any kind of platform in a major media organization, right, 361 00:18:35,359 --> 00:18:41,480 Speaker 3: who actually dug on facts. The mainstream media largely they 362 00:18:41,600 --> 00:18:46,000 Speaker 3: deified people who demonized rational risk analysis and all of 363 00:18:46,000 --> 00:18:50,320 Speaker 3: the information that we needed to know, and then demonized 364 00:18:50,359 --> 00:18:53,080 Speaker 3: the rational risk analysis themselves. Those two things do not 365 00:18:53,240 --> 00:18:57,000 Speaker 3: make for reporting news that's right, that is, that's propaganda, 366 00:18:57,040 --> 00:18:57,800 Speaker 3: that's nonsense. 367 00:18:58,040 --> 00:19:01,080 Speaker 1: Yeah, and then so many of those journalists or in 368 00:19:01,200 --> 00:19:04,400 Speaker 1: my DM saying like I love you speaking out on schools, 369 00:19:04,480 --> 00:19:07,480 Speaker 1: like obviously I couldn't do it. No, of course not, 370 00:19:07,880 --> 00:19:08,560 Speaker 1: of course you could. 371 00:19:08,720 --> 00:19:09,199 Speaker 2: How could you? 372 00:19:09,320 --> 00:19:11,840 Speaker 1: You couldn't tell you and listeners the truth? That would 373 00:19:11,880 --> 00:19:14,480 Speaker 1: be career suicide for you. Obviously. 374 00:19:14,560 --> 00:19:17,000 Speaker 3: Yeah, this is this is the great thing about being 375 00:19:17,040 --> 00:19:18,959 Speaker 3: right a center and a critical thinker, is that become 376 00:19:19,000 --> 00:19:19,720 Speaker 3: pre canceled. 377 00:19:19,880 --> 00:19:22,879 Speaker 2: It's like, I don't care, like I'm not getting in 378 00:19:22,920 --> 00:19:23,320 Speaker 2: the club. 379 00:19:23,840 --> 00:19:28,560 Speaker 3: It's fine, but it gives you leeway to say things 380 00:19:28,600 --> 00:19:31,359 Speaker 3: that are true, whether it's on Hunter Biden or COVID 381 00:19:31,480 --> 00:19:35,360 Speaker 3: or school's closing or Russia Gate. And it turns out, 382 00:19:35,760 --> 00:19:38,000 Speaker 3: you know, you don't need the journalists as much when 383 00:19:38,240 --> 00:19:40,879 Speaker 3: we're the ones saying the things right, they are the 384 00:19:40,880 --> 00:19:42,240 Speaker 3: ones disgracing themselves. 385 00:19:42,760 --> 00:19:46,520 Speaker 1: Yep. Turns out journalism was already in a bad place 386 00:19:46,800 --> 00:19:51,520 Speaker 1: before the Washington Post firings who knew except who knew? 387 00:19:53,240 --> 00:19:55,760 Speaker 1: All right, we'll be right back with a little more 388 00:19:55,760 --> 00:19:59,480 Speaker 1: on normally, talking Blue state problems, you know, one of 389 00:19:59,520 --> 00:20:03,520 Speaker 1: our favorite topics, and Jews leaving New York for Florida 390 00:20:03,880 --> 00:20:12,360 Speaker 1: my favorite topic. We are back on normally where Tablet 391 00:20:12,400 --> 00:20:15,440 Speaker 1: had this great piece in the last print edition. It's 392 00:20:15,480 --> 00:20:19,240 Speaker 1: February twenty twenty six. They have this beautiful glossy magazine 393 00:20:19,280 --> 00:20:21,720 Speaker 1: they do now. If you don't subscribe, you should. It's 394 00:20:21,920 --> 00:20:24,240 Speaker 1: basically the only magazine I get to my house now. 395 00:20:25,200 --> 00:20:28,600 Speaker 1: The article is Miami the new Jerusalem question mark. I 396 00:20:28,600 --> 00:20:30,760 Speaker 1: don't even think we need that. I already refer to 397 00:20:31,000 --> 00:20:34,840 Speaker 1: Florida as the other Promised Land. But it opens with 398 00:20:35,480 --> 00:20:40,520 Speaker 1: a great anecdote where Josh Greenberg, a digital media strategist 399 00:20:40,520 --> 00:20:43,120 Speaker 1: who left Park Slope, New York in early twenty twenty two. 400 00:20:43,280 --> 00:20:45,800 Speaker 1: That's exactly when I left. That's also where I left. 401 00:20:45,800 --> 00:20:49,440 Speaker 1: I also lived in Park Slope, got mugged and realized 402 00:20:49,440 --> 00:20:53,280 Speaker 1: that his friends had more sympathy for the mugger than 403 00:20:53,280 --> 00:20:56,840 Speaker 1: for him. That is such a classic New York story 404 00:20:56,880 --> 00:21:00,280 Speaker 1: of that era, where the five million dollar Browns zones 405 00:21:00,320 --> 00:21:03,000 Speaker 1: on my block put up the defund police signs, and 406 00:21:03,400 --> 00:21:05,760 Speaker 1: it was just so obvious that none of this was 407 00:21:05,760 --> 00:21:08,520 Speaker 1: ever going to affect them. They lived in their little bubble, 408 00:21:09,160 --> 00:21:12,600 Speaker 1: and yeah, the normal people all moved to Florida. And 409 00:21:12,840 --> 00:21:16,080 Speaker 1: this piece says, for many, especially Jews, the move wasn't 410 00:21:16,080 --> 00:21:19,600 Speaker 1: really about the weather. It was about oxygen. So true, 411 00:21:19,640 --> 00:21:22,720 Speaker 1: because I never once considered the weather in our move. 412 00:21:22,840 --> 00:21:24,760 Speaker 1: Not never once did I think like, oh, I don't 413 00:21:24,800 --> 00:21:27,280 Speaker 1: like the cold, and now I can never go back. 414 00:21:27,359 --> 00:21:31,199 Speaker 1: I've gotten so soft. The weather has absolutely broken me. 415 00:21:31,920 --> 00:21:35,000 Speaker 2: I understand that, having lived in fifteen degrees for the 416 00:21:35,080 --> 00:21:36,000 Speaker 2: last two weeks. 417 00:21:36,359 --> 00:21:37,679 Speaker 1: No, I do it. 418 00:21:37,800 --> 00:21:39,200 Speaker 2: I can imagine. Now. 419 00:21:39,280 --> 00:21:43,800 Speaker 3: This is the repeated problem with liberal governments, particularly of 420 00:21:43,880 --> 00:21:46,680 Speaker 3: large cities, but they apply it in many other ways too. 421 00:21:46,760 --> 00:21:53,280 Speaker 3: Is that the person violated, yeah, is the one who 422 00:21:53,400 --> 00:21:56,800 Speaker 3: has to sort of take the l not just the violation, 423 00:21:57,200 --> 00:22:01,000 Speaker 3: but also affirm the person who has violate them. This 424 00:22:01,040 --> 00:22:03,720 Speaker 3: happens in women's sports with trans athletes, like, oh, you 425 00:22:03,800 --> 00:22:06,199 Speaker 3: got a guy competing against you. Not only do you 426 00:22:06,280 --> 00:22:08,640 Speaker 3: lose your metal, but you have to stand up there 427 00:22:08,680 --> 00:22:11,320 Speaker 3: on the podium or nearby and go, thank my gosh. 428 00:22:11,600 --> 00:22:15,000 Speaker 3: So brave, so brave you got to write out eds 429 00:22:15,000 --> 00:22:18,680 Speaker 3: about how amazing it is that you got beaten. And 430 00:22:19,280 --> 00:22:22,040 Speaker 3: in this case, you know, the mugger is the real 431 00:22:22,160 --> 00:22:25,879 Speaker 3: concern because obviously you law abiding citizen are you know, 432 00:22:25,880 --> 00:22:28,359 Speaker 3: you have a much nicer life, right than this person 433 00:22:28,359 --> 00:22:31,919 Speaker 3: who tried to hurt you, and you really shouldn't complain. 434 00:22:32,680 --> 00:22:35,840 Speaker 1: Yeah. There was a great piece in twenty twenty two 435 00:22:35,960 --> 00:22:38,199 Speaker 1: by Susie Weiss at the Free Press, and it was 436 00:22:38,320 --> 00:22:41,440 Speaker 1: crime as a construct, My morning with the parkslow Panthers. 437 00:22:41,880 --> 00:22:43,760 Speaker 1: I must read. You have to look it up if 438 00:22:43,800 --> 00:22:46,160 Speaker 1: you haven't read it. But it was a homeless guy 439 00:22:46,359 --> 00:22:51,240 Speaker 1: kicked a dog and the dog died, and basically some 440 00:22:51,280 --> 00:22:55,439 Speaker 1: people decided to form like a community watch, and some 441 00:22:55,560 --> 00:22:58,720 Speaker 1: other people were like, that's racist, having a community watch 442 00:22:58,800 --> 00:23:03,040 Speaker 1: against violent predators who want to kill your dog. That's racist. 443 00:23:03,040 --> 00:23:06,960 Speaker 1: And the story is just it's chef's kiss perfection. Must read. 444 00:23:08,200 --> 00:23:09,800 Speaker 2: David Sedaris had a piece, you know. 445 00:23:09,840 --> 00:23:14,320 Speaker 3: Again, urbane liberal approved for sure, David Sedaris writes, and 446 00:23:14,359 --> 00:23:16,960 Speaker 3: your little dog too in The New Yorker. He's bit 447 00:23:17,400 --> 00:23:21,680 Speaker 3: by a vagrant dog on the street. It doesn't and 448 00:23:21,720 --> 00:23:25,639 Speaker 3: he has the temerity to complain about this two fellow 449 00:23:25,680 --> 00:23:29,359 Speaker 3: liberals who say to him at a book signing, you 450 00:23:29,440 --> 00:23:31,600 Speaker 3: have to understand that these addicts, especially those with an 451 00:23:31,600 --> 00:23:34,480 Speaker 3: opioid use disorder, lead incredibly difficult lives. 452 00:23:34,600 --> 00:23:37,080 Speaker 2: And he's like, the dog bit me. 453 00:23:37,359 --> 00:23:39,600 Speaker 3: I don't know if I made that clear, the victim. 454 00:23:40,200 --> 00:23:43,200 Speaker 3: And he keeps having these encounters with people who are like, listen, 455 00:23:43,200 --> 00:23:45,080 Speaker 3: those people have a real hard time taking care of 456 00:23:45,119 --> 00:23:48,600 Speaker 3: their animals, and finally he breaks It's like, that's when 457 00:23:48,600 --> 00:23:50,639 Speaker 3: I quit talking about it. I mean, how hard should 458 00:23:50,640 --> 00:23:53,080 Speaker 3: it be to get a little sympathy when an unleashed. 459 00:23:52,640 --> 00:23:55,159 Speaker 2: Dog bites you? What if I were a baby, I wondered, 460 00:23:55,320 --> 00:23:56,600 Speaker 2: what would people side with me? 461 00:23:56,680 --> 00:23:56,880 Speaker 6: Then? 462 00:23:57,040 --> 00:23:59,480 Speaker 2: What if I were ninety or blind or Nelson Mandela? 463 00:23:59,600 --> 00:24:02,040 Speaker 3: Why is everyone's so afraid of saying that drug addicts 464 00:24:02,040 --> 00:24:03,719 Speaker 3: shouldn't let their dogs bite people? 465 00:24:03,920 --> 00:24:06,160 Speaker 2: Actually, I know why. We're afraid we'll. 466 00:24:05,960 --> 00:24:08,840 Speaker 3: All be mistaken from Republicans when really, isn't this something 467 00:24:08,840 --> 00:24:10,879 Speaker 3: we should all be able to agree on. How did 468 00:24:10,920 --> 00:24:13,560 Speaker 3: allowing dogs to bite people become a democratic point of 469 00:24:13,600 --> 00:24:16,000 Speaker 3: principle or is it just certain people's dogs. If a 470 00:24:16,040 --> 00:24:18,439 Speaker 3: German shepherd jumped, growling out of one of those Tesla 471 00:24:18,480 --> 00:24:20,840 Speaker 3: trucks that looks like an Origami project, and its owner 472 00:24:21,119 --> 00:24:23,960 Speaker 3: wearing a maga hat yelled trump or no, then he 473 00:24:24,119 --> 00:24:25,280 Speaker 3: will in the audience be a gas. 474 00:24:26,440 --> 00:24:30,119 Speaker 1: That line is so good. 475 00:24:30,359 --> 00:24:32,879 Speaker 3: This is the dynamic in so many places. There's a 476 00:24:32,920 --> 00:24:36,240 Speaker 3: great Freebeacon police piece by Aaron Sabariam, who is a 477 00:24:36,240 --> 00:24:39,760 Speaker 3: wonderful reporter, who went out to Prince George's County, Maryland, 478 00:24:39,760 --> 00:24:43,760 Speaker 3: which is in the DMV area, and found a condominium 479 00:24:43,800 --> 00:24:48,560 Speaker 3: complex with a giant homeless camp next to it that 480 00:24:48,600 --> 00:24:51,800 Speaker 3: the county refuses to do anything about. So they sleep 481 00:24:51,840 --> 00:24:55,280 Speaker 3: in the hallways, vandalize. They have ruined the heating system 482 00:24:55,600 --> 00:24:57,760 Speaker 3: in that area. They've made it incredibly dangerous. It's an 483 00:24:57,800 --> 00:25:00,639 Speaker 3: open air drug market. They ruined the heating ste and 484 00:25:00,680 --> 00:25:03,200 Speaker 3: you know what the city did. The city came and said, 485 00:25:03,359 --> 00:25:07,080 Speaker 3: y'all have to be evicted from your owned condos now 486 00:25:07,840 --> 00:25:09,960 Speaker 3: because you don't have proper heat. 487 00:25:10,320 --> 00:25:15,720 Speaker 2: But the encampment they feed right like it is wild. 488 00:25:15,880 --> 00:25:17,920 Speaker 2: The priorities and. 489 00:25:17,920 --> 00:25:21,240 Speaker 1: We saw this coming. This is another like we were like, 490 00:25:21,640 --> 00:25:24,720 Speaker 1: shouldn't the idea of you getting bitten by a dog, 491 00:25:24,840 --> 00:25:29,399 Speaker 1: an off leash dog be a universal value that we 492 00:25:29,440 --> 00:25:32,680 Speaker 1: all oppose that, and David Sedaris in twenty twenty five 493 00:25:32,680 --> 00:25:35,000 Speaker 1: twenty twenty six is coming up with the fact that 494 00:25:35,040 --> 00:25:37,560 Speaker 1: it should be We were saying that all along, We 495 00:25:37,560 --> 00:25:40,760 Speaker 1: were saying, shouldn't opening schools be something we all agree on? 496 00:25:40,800 --> 00:25:44,399 Speaker 1: Why is that political? You know, it's either danger to 497 00:25:44,440 --> 00:25:47,280 Speaker 1: the kids or it's not on the teachers. It's just 498 00:25:47,600 --> 00:25:50,639 Speaker 1: we got to the point where they were believing crazy 499 00:25:50,680 --> 00:25:52,840 Speaker 1: stuff and we just let them have it. We were like, fine, 500 00:25:53,119 --> 00:25:55,800 Speaker 1: you guys want to be okay with dogs, you know, 501 00:25:55,840 --> 00:25:59,439 Speaker 1: homeless people, dogs biting you, go for it. You can 502 00:25:59,480 --> 00:26:02,239 Speaker 1: go live that dream and we'll be over here not 503 00:26:02,400 --> 00:26:02,879 Speaker 1: taking it. 504 00:26:03,520 --> 00:26:06,520 Speaker 2: But as the reelection of Donald Trump shows, there is 505 00:26:06,560 --> 00:26:09,040 Speaker 2: a point at which people go like, I don't know, man, Like, 506 00:26:09,119 --> 00:26:11,760 Speaker 2: even if I think this guy's a little much, I 507 00:26:11,800 --> 00:26:14,840 Speaker 2: can't take this anymore. San Francisco, similarly, where the super 508 00:26:14,880 --> 00:26:18,680 Speaker 2: Bowl was held, the mayor there is finally like, hey, yeah, 509 00:26:19,000 --> 00:26:21,560 Speaker 2: so the thing we do now is that we prosecute 510 00:26:21,560 --> 00:26:24,239 Speaker 2: the crime. That's the thing we're doing now, and that 511 00:26:24,280 --> 00:26:25,840 Speaker 2: makes everyone happier and. 512 00:26:25,760 --> 00:26:27,840 Speaker 1: It's no longer racist to do that. 513 00:26:28,359 --> 00:26:30,040 Speaker 3: Which is why they can hold the super Bowl there 514 00:26:30,040 --> 00:26:32,280 Speaker 3: and not have you know, feces everywhere, I guess, so, 515 00:26:32,359 --> 00:26:35,080 Speaker 3: good job, guys, big plus Well. 516 00:26:34,920 --> 00:26:37,760 Speaker 1: Thank you for joining us on normally Normally airs Tuesdays 517 00:26:37,760 --> 00:26:41,000 Speaker 1: and Thursdays, and you could subscribe anywhere you get your podcasts. 518 00:26:41,040 --> 00:26:44,359 Speaker 1: Get in touch with us at normallythepod at gmail dot com. 519 00:26:44,400 --> 00:26:47,680 Speaker 1: Thanks for listening, and when things get weird, act normally