1 00:00:02,080 --> 00:00:04,520 Speaker 1: Hey, guys, we are back normally in the show with 2 00:00:04,680 --> 00:00:08,320 Speaker 1: normalis takes, but when the news gets weird, I'm Mary Causingham. 3 00:00:08,440 --> 00:00:12,080 Speaker 2: And I'm Carol Markowitz and wrapping up summer over. 4 00:00:11,920 --> 00:00:13,039 Speaker 3: Here, Mary Catherine. 5 00:00:13,039 --> 00:00:15,600 Speaker 4: The kids go back to school finally, finally. 6 00:00:15,880 --> 00:00:17,640 Speaker 3: I know, I know it sounds crazy. 7 00:00:17,360 --> 00:00:19,720 Speaker 2: To those of you up north of a little north, 8 00:00:20,239 --> 00:00:23,680 Speaker 2: but yes, when you get used to school starting after 9 00:00:23,760 --> 00:00:25,760 Speaker 2: Labor Day, obviously it's crazy for them to go back 10 00:00:25,760 --> 00:00:28,600 Speaker 2: in August. But they have been home for so long 11 00:00:28,680 --> 00:00:30,240 Speaker 2: that they are like, how much longer? 12 00:00:30,280 --> 00:00:32,320 Speaker 3: How much longer? Can they just hang around the house? 13 00:00:32,600 --> 00:00:36,440 Speaker 1: And mine is excited. They're excited to be back in school. 14 00:00:36,560 --> 00:00:38,400 Speaker 1: I am not excited because this is what I like 15 00:00:38,440 --> 00:00:42,120 Speaker 1: to call form filling out season. Yeah, and I am 16 00:00:42,159 --> 00:00:45,000 Speaker 1: not good at form filling out, and I spend about 17 00:00:45,240 --> 00:00:47,880 Speaker 1: half of every day chasing down forms for the next 18 00:00:47,880 --> 00:00:50,479 Speaker 1: two weeks. But eventually we'll be done, I believe in. 19 00:00:51,159 --> 00:00:53,960 Speaker 2: I feel like you and I have the forwarding forms 20 00:00:54,000 --> 00:00:58,640 Speaker 2: to husband's kind of email. Yeah, forwarding emails to husband's 21 00:00:58,720 --> 00:00:59,520 Speaker 2: kind of husbands. 22 00:01:00,080 --> 00:01:03,200 Speaker 1: I've forward stuff to him that he then follows up 23 00:01:03,200 --> 00:01:04,680 Speaker 1: on and I'm like, what are you even talking about? 24 00:01:05,080 --> 00:01:07,080 Speaker 1: And then he tells me it's from the email, and 25 00:01:07,080 --> 00:01:09,280 Speaker 1: I'm like, I didn't read that before I forwarded it. 26 00:01:09,480 --> 00:01:11,760 Speaker 2: Yeah, And I took it off my plate as soon 27 00:01:11,760 --> 00:01:14,280 Speaker 2: as I forwarded it too. It no longer existed in 28 00:01:14,319 --> 00:01:15,960 Speaker 2: my universe once you had it. 29 00:01:16,360 --> 00:01:20,320 Speaker 1: Yeah. The thing you're following up to gone, yeah, gone, 30 00:01:20,600 --> 00:01:21,920 Speaker 1: God bless them. 31 00:01:22,280 --> 00:01:24,600 Speaker 3: Yeah. Well, talking about following up. 32 00:01:24,520 --> 00:01:28,640 Speaker 2: A few years after some news, we are still mad bro, 33 00:01:28,760 --> 00:01:31,200 Speaker 2: And we normally save that we are still mad bro, 34 00:01:31,319 --> 00:01:34,600 Speaker 2: especially where COVID is concerned for the last segment. But 35 00:01:34,680 --> 00:01:37,120 Speaker 2: today we're going to lead with it because it's just 36 00:01:37,400 --> 00:01:38,400 Speaker 2: that egregious. 37 00:01:39,319 --> 00:01:41,240 Speaker 1: Well, and the New York Times is sort of leading 38 00:01:41,240 --> 00:01:45,080 Speaker 1: with it, right because they are just intent on being 39 00:01:45,160 --> 00:01:46,959 Speaker 1: our content provider, there. 40 00:01:46,840 --> 00:01:49,280 Speaker 2: Really are, and they're like, how can we help those 41 00:01:49,280 --> 00:01:50,280 Speaker 2: girls out? 42 00:01:50,800 --> 00:01:54,480 Speaker 1: So they put up this editorial this week from the 43 00:01:54,600 --> 00:02:00,200 Speaker 1: editorial board, not from an opinion writer, called crime keeps Falling. 44 00:02:00,520 --> 00:02:03,200 Speaker 1: Here's why. First of all, the only reason they're bringing 45 00:02:03,240 --> 00:02:05,240 Speaker 1: us up is to say that crime is falling, so 46 00:02:05,280 --> 00:02:08,640 Speaker 1: they can say, boo, Donald Trump, right, because you're doing 47 00:02:08,680 --> 00:02:13,960 Speaker 1: something about crime. But inside this editorial, in some frankly 48 00:02:14,240 --> 00:02:20,240 Speaker 1: shocking and enraging ways, yeah, they just say normis like 49 00:02:20,320 --> 00:02:22,600 Speaker 1: Carol and Mary Catherine were right the whole time. 50 00:02:22,919 --> 00:02:25,440 Speaker 2: Right. I feel like they should have said our names, 51 00:02:25,560 --> 00:02:28,799 Speaker 2: but they didn't. I mean so many things in this article. 52 00:02:28,840 --> 00:02:31,200 Speaker 2: I love the way that they just kind of throw 53 00:02:31,280 --> 00:02:34,560 Speaker 2: this in. During the pandemic, reckless driving deaths from car 54 00:02:34,639 --> 00:02:38,360 Speaker 2: crashes and road rage incidents increased. Alcohol and drug deaths 55 00:02:38,400 --> 00:02:41,320 Speaker 2: also rose. Even little things like people using phones and 56 00:02:41,400 --> 00:02:45,360 Speaker 2: movie theaters seem to worsen even after COVID receded. It 57 00:02:45,440 --> 00:02:49,840 Speaker 2: was as if many Americans took a so called moral holiday. Yeah, 58 00:02:49,960 --> 00:02:51,639 Speaker 2: we noticed, we saw that. 59 00:02:52,720 --> 00:02:55,359 Speaker 1: Did we say that might happen, right? 60 00:02:55,440 --> 00:02:59,359 Speaker 2: Did we say that people calling the police on their 61 00:02:59,400 --> 00:03:04,919 Speaker 2: neighbors having an extra person in their backyard was going 62 00:03:04,960 --> 00:03:07,919 Speaker 2: to be a problem going forward? Did we say that 63 00:03:08,120 --> 00:03:12,480 Speaker 2: societal breakdown happens when we encouraged people to turn on 64 00:03:12,520 --> 00:03:14,720 Speaker 2: each other the way they were encouraged to do. 65 00:03:14,919 --> 00:03:16,680 Speaker 3: I think we may have said that once or twice. 66 00:03:17,120 --> 00:03:20,480 Speaker 1: Here's another good line. In twenty twenty, policy makers played 67 00:03:20,480 --> 00:03:24,919 Speaker 1: a direct role in accelerating anime this breakdown of standards 68 00:03:25,200 --> 00:03:31,119 Speaker 1: by shuttering services that promote social cohesion. Consider school closures. 69 00:03:31,400 --> 00:03:34,639 Speaker 1: Consider that to keep schools closed after the initial months 70 00:03:34,680 --> 00:03:38,080 Speaker 1: of pandemic was a difficult decision. I dispute that, but 71 00:03:38,200 --> 00:03:41,840 Speaker 1: officials at least should have put more weight on obvious 72 00:03:41,880 --> 00:03:45,080 Speaker 1: costs of closures, including learning loss, social isolation, and the 73 00:03:45,160 --> 00:03:49,440 Speaker 1: possibility that closures contribute to crime. The obvious costs, do 74 00:03:49,520 --> 00:03:52,720 Speaker 1: you say, were they obvious? I feel very much that 75 00:03:52,760 --> 00:03:54,960 Speaker 1: the New York Times did not think they were obvious 76 00:03:54,960 --> 00:03:58,480 Speaker 1: at the time, and in fact vilified anyone who suggested 77 00:03:58,520 --> 00:03:58,840 Speaker 1: they were. 78 00:03:59,400 --> 00:04:00,720 Speaker 3: Yeah, I remember this. 79 00:04:00,920 --> 00:04:04,880 Speaker 2: I vaguely remember the New York Times not thinking those 80 00:04:04,960 --> 00:04:08,400 Speaker 2: costs made any sense, and if you disagreed, you were 81 00:04:08,600 --> 00:04:10,600 Speaker 2: a crazy person who wanted. 82 00:04:10,240 --> 00:04:11,800 Speaker 3: Teachers to die. 83 00:04:11,960 --> 00:04:16,839 Speaker 1: Yeah. Another quote, social cohesion is both valuable and delicate, Carol, 84 00:04:17,360 --> 00:04:21,520 Speaker 1: just to breaking news. America has much to lose when 85 00:04:21,560 --> 00:04:27,400 Speaker 1: it undermines people's connections to institutions like schools, churches, government agencies, 86 00:04:27,480 --> 00:04:29,640 Speaker 1: and community groups. 87 00:04:31,720 --> 00:04:34,480 Speaker 2: You look at that when the trust phrase Mary Catherine 88 00:04:34,520 --> 00:04:38,039 Speaker 2: and everyone for himself mentality the kind you often see 89 00:04:38,080 --> 00:04:41,920 Speaker 2: in post apocalyptic fiction, can take hold the trust. 90 00:04:41,960 --> 00:04:44,280 Speaker 3: Praying is bad, you say, but I know. 91 00:04:44,320 --> 00:04:47,360 Speaker 1: You'll really love the second lesson they took from the pandemic. 92 00:04:47,400 --> 00:04:50,760 Speaker 1: The first was like public trust and cohesion are important. Okay, 93 00:04:50,800 --> 00:04:56,279 Speaker 1: that's number one. Second revelation in the year twenty twenty five. 94 00:04:56,760 --> 00:05:01,200 Speaker 1: The second lesson involves the importance of law enforcement. 95 00:05:01,880 --> 00:05:04,200 Speaker 3: I mean, who could have seen that coming? 96 00:05:04,760 --> 00:05:08,080 Speaker 2: You know, it's times like this that I miss living 97 00:05:08,120 --> 00:05:11,640 Speaker 2: in left this Brooklyn. Because are they putting like fund 98 00:05:11,680 --> 00:05:13,760 Speaker 2: the police signs in their windows now that The New 99 00:05:13,839 --> 00:05:16,360 Speaker 2: York Times says so because they had the defund police 100 00:05:16,360 --> 00:05:18,360 Speaker 2: signs in their windows in twenty twenty when. 101 00:05:18,320 --> 00:05:20,160 Speaker 1: You know what I think said, I think what they're 102 00:05:20,160 --> 00:05:22,680 Speaker 1: probably actually doing is that all the ones who haven't 103 00:05:22,680 --> 00:05:26,840 Speaker 1: moved to Florida are so in the bubble that they're 104 00:05:26,880 --> 00:05:30,360 Speaker 1: just canceling their New York Times subscriptions because of this. 105 00:05:30,400 --> 00:05:34,360 Speaker 4: Spiece, right, just not left enough, yeah. 106 00:05:34,440 --> 00:05:38,279 Speaker 1: It says. Among the most damaging mistakes was the belief 107 00:05:38,360 --> 00:05:42,360 Speaker 1: among Democratic officials that enforcing the law could be counterproductive 108 00:05:42,600 --> 00:05:45,719 Speaker 1: when it involved low level offenses such as public drug use, shoplifting, 109 00:05:45,720 --> 00:05:48,440 Speaker 1: and homeless and cabinets. Some Democrats believe enforcement of these 110 00:05:48,520 --> 00:05:51,520 Speaker 1: laws disproportionately hurt minority groups and did not contribute much 111 00:05:51,560 --> 00:05:54,640 Speaker 1: to public safety. But it turns out they do. 112 00:05:55,080 --> 00:05:58,120 Speaker 2: Oh look at that. That's a twist I did not 113 00:05:58,200 --> 00:05:58,800 Speaker 2: see coming. 114 00:05:59,040 --> 00:06:04,039 Speaker 1: And not. Also, they also are approved over all socioeconomic 115 00:06:04,160 --> 00:06:06,040 Speaker 1: and racial groups. 116 00:06:06,080 --> 00:06:08,560 Speaker 3: Funny people like police who knew you know. 117 00:06:08,720 --> 00:06:12,240 Speaker 2: It's also interesting that in that same second lesson they 118 00:06:12,360 --> 00:06:15,560 Speaker 2: name a few names of prominent Democrats, and they name 119 00:06:15,839 --> 00:06:20,359 Speaker 2: then Senator Kamala Harris of California, Representative AOC of New York, 120 00:06:20,520 --> 00:06:24,679 Speaker 2: and then Mayor Eric Garcetti of Los Angeles. What's interesting 121 00:06:24,680 --> 00:06:27,159 Speaker 2: about this is they don't say, Mom, Donnie, who's in 122 00:06:27,200 --> 00:06:30,320 Speaker 2: pole position to become the next New York City mayor? 123 00:06:30,640 --> 00:06:31,600 Speaker 3: I think because they. 124 00:06:31,480 --> 00:06:34,279 Speaker 4: Don't want to cause a rift with him in advance 125 00:06:34,320 --> 00:06:35,160 Speaker 4: of that, you. 126 00:06:35,120 --> 00:06:36,159 Speaker 3: Know, election win. 127 00:06:36,520 --> 00:06:39,760 Speaker 2: So they picked two people who are not in public 128 00:06:39,760 --> 00:06:43,600 Speaker 2: office anymore, and AOC who should really be watching her 129 00:06:43,640 --> 00:06:45,320 Speaker 2: back when The New York Times is concerned. 130 00:06:47,279 --> 00:06:50,599 Speaker 1: No, it's very interesting as usual. Yes, you don't want 131 00:06:50,640 --> 00:06:55,160 Speaker 1: to hold anyone to account who might actually have power currently, right, 132 00:06:55,400 --> 00:06:57,919 Speaker 1: just like by the way that happened. I think the 133 00:06:57,960 --> 00:07:01,000 Speaker 1: most infuriating thing about this editorial is that it notes 134 00:07:01,040 --> 00:07:05,840 Speaker 1: at least twice that these were noble facts in twenty twenty. No, 135 00:07:06,320 --> 00:07:08,520 Speaker 1: it's like, I mean, I like we kind of knew this, 136 00:07:09,000 --> 00:07:12,480 Speaker 1: did you? Yeah, because it acted like you did. 137 00:07:12,360 --> 00:07:16,400 Speaker 2: It right, and those of us who did know again 138 00:07:16,680 --> 00:07:22,520 Speaker 2: were treated like pariah's, like dangers to society because. 139 00:07:22,160 --> 00:07:24,440 Speaker 3: We were right a little earlier than they were. 140 00:07:25,240 --> 00:07:27,280 Speaker 4: Yeah, a lot early. Why for real? 141 00:07:27,600 --> 00:07:31,600 Speaker 1: Yeah. Another thing I'm still mad about is the American 142 00:07:31,640 --> 00:07:37,040 Speaker 1: Academy of Pediatrics, which continues to disgrace itself. Yeah, it 143 00:07:37,080 --> 00:07:39,200 Speaker 1: has not yet made a turn like the New York 144 00:07:39,240 --> 00:07:41,880 Speaker 1: Times to say like, oh, by the way, maybe some 145 00:07:41,960 --> 00:07:44,800 Speaker 1: of the decisions we made in COVID were bad. It's 146 00:07:44,880 --> 00:07:48,800 Speaker 1: just barreling straight on through. And I think I referred 147 00:07:48,840 --> 00:07:51,560 Speaker 1: to it as a zombie of public trust. It just 148 00:07:51,640 --> 00:07:55,120 Speaker 1: walks around in the skin suit of this organization that 149 00:07:55,160 --> 00:07:59,280 Speaker 1: people used to trust, and there's no reason to trust 150 00:07:59,280 --> 00:08:02,880 Speaker 1: these people. In point, the American Academy Pediatrics said that 151 00:08:02,960 --> 00:08:05,280 Speaker 1: children ages six months to twenty three months should receive 152 00:08:05,280 --> 00:08:09,320 Speaker 1: a COVID nineteen vaccine, in contrast with federal health officials. Now. 153 00:08:09,320 --> 00:08:12,640 Speaker 1: Of course, to mainstream news like ABC, this means that 154 00:08:12,960 --> 00:08:16,280 Speaker 1: AAF is correct and the federal government is wrong. But 155 00:08:16,320 --> 00:08:20,080 Speaker 1: what they don't point out is that no other country 156 00:08:20,560 --> 00:08:23,120 Speaker 1: has a blanket recommendation for healthy infants to get a 157 00:08:23,120 --> 00:08:28,120 Speaker 1: COVID vaccine, not even like Canada, nobody Germany. Yeah, no one. 158 00:08:28,400 --> 00:08:31,240 Speaker 1: Now this is important information to tell your readers, but 159 00:08:31,280 --> 00:08:32,960 Speaker 1: they're not interested in telling their readers that. 160 00:08:33,240 --> 00:08:36,320 Speaker 2: No, they're not, and they're not worried about the kind 161 00:08:36,320 --> 00:08:38,920 Speaker 2: of blowback here, right. They think that they're the authority 162 00:08:38,920 --> 00:08:41,200 Speaker 2: and that's it. But we are, like you said, at 163 00:08:41,240 --> 00:08:44,440 Speaker 2: outlier when you look at any other country, and we 164 00:08:44,440 --> 00:08:48,440 Speaker 2: were even during the pandemic. During the pandemic when things 165 00:08:48,480 --> 00:08:52,440 Speaker 2: were still kind of you know, hot, other countries decided 166 00:08:52,480 --> 00:08:56,240 Speaker 2: not to give the vaccine to healthy children, America plowed 167 00:08:56,280 --> 00:08:57,360 Speaker 2: ahead with it anyway. 168 00:08:58,200 --> 00:09:00,480 Speaker 3: Absolutely had some problems because of that. 169 00:09:00,559 --> 00:09:04,560 Speaker 2: We had myocarditis issues in teenage boys that other countries. 170 00:09:04,120 --> 00:09:04,719 Speaker 1: Did not have. 171 00:09:05,200 --> 00:09:09,000 Speaker 2: David's wig had that great piece about myocarditis and how 172 00:09:09,360 --> 00:09:12,760 Speaker 2: they literally lied about how bad it was for boys. 173 00:09:12,760 --> 00:09:16,120 Speaker 2: The CDC at the time to release the data including girls. 174 00:09:16,120 --> 00:09:19,240 Speaker 3: So didn't seem that bad, you know, now we know 175 00:09:19,320 --> 00:09:20,400 Speaker 3: that it was so. 176 00:09:20,720 --> 00:09:24,000 Speaker 2: Look, especially with something like COVID, where the vaccine does 177 00:09:24,000 --> 00:09:27,760 Speaker 2: not stop spread, it's a question of the benefits and 178 00:09:27,800 --> 00:09:32,040 Speaker 2: the drawbacks, and the benefits to children never made sense. 179 00:09:32,160 --> 00:09:35,559 Speaker 2: Kids had a zero chance of a negative effect from COVID. 180 00:09:36,000 --> 00:09:38,760 Speaker 2: As we've always liked to say zero cannot be reduced 181 00:09:38,760 --> 00:09:41,559 Speaker 2: any further through vaccines when they were given out and 182 00:09:41,720 --> 00:09:44,480 Speaker 2: the idea was will stop spread with this, it didn't 183 00:09:44,480 --> 00:09:45,199 Speaker 2: stop spread. 184 00:09:45,720 --> 00:09:47,199 Speaker 3: We have to learn some lessons. 185 00:09:47,320 --> 00:09:50,679 Speaker 2: And the fact that AAP won't be held accountable for 186 00:09:51,400 --> 00:09:54,720 Speaker 2: pushing just nonsense like this is it's. 187 00:09:54,679 --> 00:09:55,520 Speaker 3: Sort of sad. 188 00:09:55,640 --> 00:09:58,160 Speaker 2: And I hope that they don't get, you know, the 189 00:09:58,240 --> 00:10:02,520 Speaker 2: kind of prestige and press that they inevitably will get. 190 00:10:02,840 --> 00:10:05,320 Speaker 1: Yeah, I know, I hope. I mean certainly parents are 191 00:10:05,360 --> 00:10:07,840 Speaker 1: turning away from them. Yeah. And by the way, when 192 00:10:08,040 --> 00:10:13,040 Speaker 1: this inevitably leads to people having less trust for other 193 00:10:13,120 --> 00:10:20,080 Speaker 1: treatments that AAP suggests physician, heal thyself literally, because this 194 00:10:20,160 --> 00:10:23,360 Speaker 1: is you have caused the problem. And they caused the 195 00:10:23,360 --> 00:10:26,000 Speaker 1: problems starting way back in twenty twenty when they recommended 196 00:10:26,000 --> 00:10:29,000 Speaker 1: that schools open and then Trump says schools should schools 197 00:10:29,040 --> 00:10:31,400 Speaker 1: should open, and they were like, never mind, schools should 198 00:10:31,440 --> 00:10:33,400 Speaker 1: not open, right, and not to mention. 199 00:10:33,360 --> 00:10:37,360 Speaker 2: They recommended that they said that masks did not harm 200 00:10:37,480 --> 00:10:39,960 Speaker 2: the speech development of children, and they had to delete 201 00:10:40,120 --> 00:10:43,240 Speaker 2: things off of their website where they literally. 202 00:10:43,080 --> 00:10:46,240 Speaker 4: Previously said that kids need to see mouths. 203 00:10:45,800 --> 00:10:47,000 Speaker 1: For speech development. 204 00:10:47,360 --> 00:10:50,000 Speaker 2: Right, Yeah, well, no, I look forward to the New 205 00:10:50,080 --> 00:10:52,160 Speaker 2: York Times article wondering. 206 00:10:51,800 --> 00:10:54,440 Speaker 4: What happened to the APIs seven years? 207 00:10:54,520 --> 00:10:54,720 Speaker 2: Right? 208 00:10:55,440 --> 00:10:58,360 Speaker 1: Can I point out also just how insane the experts 209 00:10:58,400 --> 00:11:03,120 Speaker 1: continue to be on my and Kelly k Ga Georgia, 210 00:11:03,160 --> 00:11:06,680 Speaker 1: she's fantastic, but she flagged in the Washington Post about 211 00:11:06,920 --> 00:11:10,080 Speaker 1: about silly story about a summer surge and how schools 212 00:11:10,080 --> 00:11:13,120 Speaker 1: would be affected by a summer surge. In that article, 213 00:11:13,800 --> 00:11:18,840 Speaker 1: a pediatric infectious disease specialist at john Hopkins says that 214 00:11:18,920 --> 00:11:22,120 Speaker 1: the reason that kids need not just a vaccine for 215 00:11:22,160 --> 00:11:26,679 Speaker 1: COVID but an updated booster is that they play a 216 00:11:26,760 --> 00:11:29,319 Speaker 1: key role in giving a child's body a robust immune 217 00:11:29,360 --> 00:11:34,920 Speaker 1: response so that they don't die or get severe illness. Yeah, 218 00:11:35,320 --> 00:11:40,199 Speaker 1: that that's actually insane. Yeah, to look at the data 219 00:11:40,240 --> 00:11:43,720 Speaker 1: on children and conclude that they need continued boosters to 220 00:11:43,840 --> 00:11:45,640 Speaker 1: prevent death or serious disease from. 221 00:11:45,600 --> 00:11:48,280 Speaker 4: COVID, which they're not getting already. 222 00:11:48,320 --> 00:11:50,920 Speaker 1: This is a fantasy world, yeah, that you have created. 223 00:11:50,920 --> 00:11:55,800 Speaker 1: But you're a pediatric infectious disease specialist. That's why I 224 00:11:55,800 --> 00:11:56,640 Speaker 1: won't be listening to you. 225 00:11:56,920 --> 00:11:59,880 Speaker 2: Well, we'll be right back on normally where we're going 226 00:11:59,920 --> 00:12:03,120 Speaker 2: to talk about some other things that are happening around 227 00:12:03,160 --> 00:12:05,760 Speaker 2: the country, like Gavin Newsom has decided mean. 228 00:12:05,640 --> 00:12:06,760 Speaker 3: Tweets are the way to go. 229 00:12:06,920 --> 00:12:13,160 Speaker 2: We'll be right back, welcome back to normally where Gavin 230 00:12:13,280 --> 00:12:17,440 Speaker 2: Newsom is having some fun on the internet and hoping 231 00:12:17,480 --> 00:12:19,959 Speaker 2: to rile up Donald Trump and his base. 232 00:12:20,280 --> 00:12:22,880 Speaker 3: And I don't know, I'm fine with that. 233 00:12:23,200 --> 00:12:25,760 Speaker 4: You go ahead, you have your good time. 234 00:12:26,760 --> 00:12:29,520 Speaker 1: Yeah, I actually think some of it's funny, right right, 235 00:12:29,679 --> 00:12:34,079 Speaker 1: I think it loses its luster pretty fast. But they 236 00:12:34,080 --> 00:12:36,680 Speaker 1: are correct in that, like, well, you can't really object 237 00:12:36,720 --> 00:12:40,600 Speaker 1: to this if you love Donald Trump's tweets. Right now, 238 00:12:40,960 --> 00:12:44,679 Speaker 1: Here's the question. As we've noted in the past, Trumpian 239 00:12:44,800 --> 00:12:49,600 Speaker 1: rhetoric and strategy rarely works for anyone but Trump. So 240 00:12:50,280 --> 00:12:54,319 Speaker 1: the question remains for Newsom and crew outside of attention, 241 00:12:54,440 --> 00:12:57,680 Speaker 1: which they are indeed getting for this. Yeah, are they 242 00:12:57,760 --> 00:13:01,440 Speaker 1: picking the right fights? Are they making progress changing the 243 00:13:01,520 --> 00:13:06,040 Speaker 1: tides for the Democratic Party? Is he just goofing enough 244 00:13:06,440 --> 00:13:10,520 Speaker 1: to make himself the at least attention economy front runner 245 00:13:10,960 --> 00:13:12,880 Speaker 1: for the Democratic nomination in twenty twenty eight. 246 00:13:13,080 --> 00:13:14,040 Speaker 3: That's exactly right. 247 00:13:14,440 --> 00:13:17,640 Speaker 2: I like Megan McCain posted this, It's hilarious that Democrats 248 00:13:17,800 --> 00:13:21,400 Speaker 2: just lost nominating a lifelong career progressive politician from San 249 00:13:21,400 --> 00:13:24,600 Speaker 2: Francisco with a shitty governing record, and six months later 250 00:13:24,640 --> 00:13:27,080 Speaker 2: are like, wait, let's do the exact same thing next, 251 00:13:27,240 --> 00:13:29,120 Speaker 2: plus mean tweets yeah. 252 00:13:28,920 --> 00:13:32,960 Speaker 1: Like I don't. I'm not sure it's gonna work right, 253 00:13:33,080 --> 00:13:38,280 Speaker 1: And you have other larger problems here, including in California. 254 00:13:38,360 --> 00:13:40,160 Speaker 1: Someone I can't remember who it was, someone joked the 255 00:13:40,160 --> 00:13:42,160 Speaker 1: other day like, isn't there I think it might have 256 00:13:42,200 --> 00:13:45,680 Speaker 1: been Frank J said in the argument against Newsom, just 257 00:13:45,760 --> 00:13:48,959 Speaker 1: a point at the state of governance. And in fact, 258 00:13:49,480 --> 00:13:52,440 Speaker 1: that is a good point because just today Marcus Lamonis, 259 00:13:52,480 --> 00:13:55,720 Speaker 1: who heads Bed Bath and Beyond, put out a statement 260 00:13:55,760 --> 00:13:58,839 Speaker 1: saying that they will not open retail stores in California. 261 00:13:59,000 --> 00:14:02,080 Speaker 1: This isn't about politics, It's about reality. California's system makes 262 00:14:02,080 --> 00:14:05,280 Speaker 1: it nearly impossible for businesses to succeed, and I won't 263 00:14:05,280 --> 00:14:08,080 Speaker 1: put our company, at our employees or our customers in 264 00:14:08,160 --> 00:14:08,800 Speaker 1: that position. 265 00:14:09,520 --> 00:14:12,080 Speaker 2: Doesn't sound like a win for California. Although you know, 266 00:14:12,400 --> 00:14:16,360 Speaker 2: Newsome tweeted out a meme that calls it the Free 267 00:14:16,360 --> 00:14:19,800 Speaker 2: State of California, and all the comments were predictably like. 268 00:14:20,280 --> 00:14:22,440 Speaker 1: Bro, going back to our first story of the day, 269 00:14:22,640 --> 00:14:24,920 Speaker 1: you surveiled people who went to church. 270 00:14:25,560 --> 00:14:27,800 Speaker 3: You arrested a man in a kayak. 271 00:14:28,680 --> 00:14:29,720 Speaker 1: Unbelievable stuff. 272 00:14:30,240 --> 00:14:34,520 Speaker 2: Yeah, it's interesting because Democrats are super excited about this, 273 00:14:34,760 --> 00:14:38,560 Speaker 2: and they're mostly super excited about Republicans getting mad at it. 274 00:14:38,880 --> 00:14:41,720 Speaker 2: But I honestly don't see people getting mad. I see 275 00:14:41,760 --> 00:14:45,080 Speaker 2: people kind of laughing at it and saying like, all right, 276 00:14:45,120 --> 00:14:47,360 Speaker 2: if this makes you feel better, you go ahead and 277 00:14:47,400 --> 00:14:48,880 Speaker 2: do that, you crazy kids. 278 00:14:49,160 --> 00:14:51,280 Speaker 1: Well, and I think like we've been in this position 279 00:14:51,320 --> 00:14:53,920 Speaker 1: before where much of the party and the party base 280 00:14:54,120 --> 00:14:56,880 Speaker 1: was like, I just want you to fight. I want 281 00:14:56,920 --> 00:15:00,240 Speaker 1: you to fight. Whether it was like Obamacare repeal, show 282 00:15:00,280 --> 00:15:02,280 Speaker 1: isn't going to happen at the time, but you wanted. 283 00:15:02,720 --> 00:15:05,600 Speaker 1: People wanted to see life from these people, and they 284 00:15:05,600 --> 00:15:08,360 Speaker 1: wanted to see them. I get it. We've been in 285 00:15:08,400 --> 00:15:13,640 Speaker 1: that position. But fight, fight, fight doesn't always win battles. 286 00:15:13,480 --> 00:15:16,760 Speaker 4: Sure doesn't, and so sure doesn't. So how are the 287 00:15:16,840 --> 00:15:18,640 Speaker 4: numbers looking for the Democrats? 288 00:15:18,720 --> 00:15:20,720 Speaker 1: Well, this is this is the problem, right, Like, you 289 00:15:20,840 --> 00:15:23,480 Speaker 1: got a deeper issue here than memes are going to solve. 290 00:15:23,480 --> 00:15:26,680 Speaker 1: Although I hesitate to say that because Trump is really 291 00:15:26,720 --> 00:15:31,000 Speaker 1: a meme heavy operation and it won the presidency. So okay, 292 00:15:31,280 --> 00:15:34,600 Speaker 1: just like stipulated, but they have a deeper problem here. 293 00:15:34,760 --> 00:15:37,680 Speaker 1: The New York Times reported on new data, the Democratic 294 00:15:37,680 --> 00:15:42,120 Speaker 1: Party faces a voter registration crisis, and it's pretty devastating. 295 00:15:42,160 --> 00:15:47,480 Speaker 1: This piece is in depth. The basics are of the 296 00:15:47,520 --> 00:15:50,680 Speaker 1: thirty states that track voter registration by political party, Democrats 297 00:15:50,760 --> 00:15:54,240 Speaker 1: lost ground to Republicans in every single one between the 298 00:15:54,280 --> 00:15:57,520 Speaker 1: twenty twenty and twenty twenty four elections, and often by 299 00:15:57,560 --> 00:16:00,800 Speaker 1: a lot. The New York Times terms it a stampede 300 00:16:01,240 --> 00:16:05,000 Speaker 1: away from the Democratic Party. Now, Democrats still lead overall, 301 00:16:05,360 --> 00:16:09,080 Speaker 1: largely because some big blue states like California to party 302 00:16:09,120 --> 00:16:12,920 Speaker 1: specific registration. In Texas, for instance, doesn't, so they still 303 00:16:13,200 --> 00:16:17,560 Speaker 1: technically got an edge here. The trajectory in every state 304 00:16:17,600 --> 00:16:21,680 Speaker 1: where you can track this is terrible. As Charles Barkley 305 00:16:21,720 --> 00:16:22,360 Speaker 1: would say. 306 00:16:22,720 --> 00:16:23,560 Speaker 2: I love that word. 307 00:16:23,800 --> 00:16:26,360 Speaker 3: Yeah, terrible is a great word to describe this. 308 00:16:26,880 --> 00:16:30,920 Speaker 2: Pennsylvania, the Democrats had a five hundred and seventeen thousand 309 00:16:31,200 --> 00:16:35,360 Speaker 2: advantage in twenty twenty, only a fifty three thousand dem 310 00:16:35,400 --> 00:16:40,520 Speaker 2: advantage now, and of course, obviously Trump won Pennsylvania, so 311 00:16:40,920 --> 00:16:43,280 Speaker 2: I don't even know what that fifty three thousand advantage 312 00:16:43,280 --> 00:16:44,360 Speaker 2: necessarily means for them. 313 00:16:45,000 --> 00:16:47,600 Speaker 1: Well, and there's one thing they noted in here, which 314 00:16:47,600 --> 00:16:49,600 Speaker 1: is the Bucks County switch, which is one of those 315 00:16:49,640 --> 00:16:54,040 Speaker 1: color counties outside Philadelphia. This is really important for winning Pennsylvania. 316 00:16:54,320 --> 00:16:57,240 Speaker 1: It's the kind of county that had swung blue during 317 00:16:57,240 --> 00:17:01,720 Speaker 1: the Obama years pretty hard. And remember thanks partly to 318 00:17:02,040 --> 00:17:04,359 Speaker 1: Pressler who was out there doing the hard work of 319 00:17:04,400 --> 00:17:07,159 Speaker 1: registering people. I remember seeing that stat last summer that 320 00:17:07,200 --> 00:17:11,040 Speaker 1: Bucks County, of competitive Philadelphia summer tilted Republican registration for 321 00:17:11,080 --> 00:17:13,399 Speaker 1: the first time since two thousands. And that's when I 322 00:17:13,440 --> 00:17:15,840 Speaker 1: saw that stat. That was the moment that I was like, 323 00:17:16,000 --> 00:17:18,960 Speaker 1: I think he's gonna this is a big deal. He's 324 00:17:19,040 --> 00:17:19,880 Speaker 1: on track here. 325 00:17:20,119 --> 00:17:24,440 Speaker 2: The question becomes Democrats must be looking around and thinking, 326 00:17:25,119 --> 00:17:28,719 Speaker 2: you know, we need some energy. And Gavin Newsom has 327 00:17:28,960 --> 00:17:33,320 Speaker 2: some kids in his office tweeting out as him and 328 00:17:34,280 --> 00:17:37,760 Speaker 2: being Brett as as the kids said last summer, and 329 00:17:37,800 --> 00:17:40,000 Speaker 2: I think that that that's why they're so excited about this. 330 00:17:40,160 --> 00:17:42,520 Speaker 2: But then when you actually hear from Newsom on it, 331 00:17:42,600 --> 00:17:47,360 Speaker 2: he doesn't quite kind of align with what his online 332 00:17:47,400 --> 00:17:48,480 Speaker 2: personality is saying. 333 00:17:48,560 --> 00:17:49,200 Speaker 3: Let's roll this. 334 00:17:49,160 --> 00:17:50,680 Speaker 2: Clip of news from talking. 335 00:17:51,920 --> 00:17:55,320 Speaker 1: With those books on acts that are clearly president Well, 336 00:17:55,359 --> 00:17:57,800 Speaker 1: you just talking about that. Is that like a strategy. 337 00:17:58,359 --> 00:17:59,800 Speaker 3: I hope it's a wake up call the president. 338 00:17:59,840 --> 00:18:04,160 Speaker 5: I states, I'm sort of following his example. If you've 339 00:18:04,200 --> 00:18:06,800 Speaker 5: got issues with what I'm putting out, you sure as 340 00:18:06,840 --> 00:18:09,680 Speaker 5: hell should have concerns about what he's putting out as president. 341 00:18:10,720 --> 00:18:14,000 Speaker 5: So to the extent it's gotten some attention, I'm pleased. 342 00:18:15,560 --> 00:18:17,080 Speaker 3: But I think the deeper. 343 00:18:16,840 --> 00:18:22,800 Speaker 5: Question is how have we allowed the normalization of his tweets, 344 00:18:23,000 --> 00:18:25,800 Speaker 5: true social posts over the course of the last many 345 00:18:25,920 --> 00:18:28,840 Speaker 5: years to go without similar scrutiny. 346 00:18:29,119 --> 00:18:32,560 Speaker 2: And notice, yeah, there's been no scrutiny of Trump's mean 347 00:18:32,600 --> 00:18:33,320 Speaker 2: tweets at all. 348 00:18:33,800 --> 00:18:35,719 Speaker 4: Haven't got a single article about it. 349 00:18:35,480 --> 00:18:37,040 Speaker 3: What is this even all about? 350 00:18:37,960 --> 00:18:40,240 Speaker 1: I loved it. Also, it's always like this is so 351 00:18:40,400 --> 00:18:43,040 Speaker 1: bad that we've got to do the bad thing to 352 00:18:43,200 --> 00:18:44,359 Speaker 1: show you how bad it is. 353 00:18:45,040 --> 00:18:46,880 Speaker 3: Right, Well, that's the thing. 354 00:18:46,960 --> 00:18:50,240 Speaker 2: It's like, are you saying it's bad and you're doing 355 00:18:50,280 --> 00:18:52,240 Speaker 2: it to just show him? Or are you saying it's 356 00:18:52,280 --> 00:18:55,439 Speaker 2: bad and you're going to be like him? Because you 357 00:18:55,480 --> 00:18:58,160 Speaker 2: know Charlotte Mane and the God, for example, was like, yeah, 358 00:18:58,200 --> 00:19:00,159 Speaker 2: I think that you know, when they go low, we 359 00:19:00,200 --> 00:19:00,640 Speaker 2: go to hell. 360 00:19:00,920 --> 00:19:02,080 Speaker 3: That's not the same thing. 361 00:19:01,920 --> 00:19:04,160 Speaker 2: As like, oh, I want to teach Trump a lesson 362 00:19:04,200 --> 00:19:06,120 Speaker 2: to be better. That's not the same thing at all. 363 00:19:06,720 --> 00:19:09,919 Speaker 1: Also, do sort of prefer them owning that they're going 364 00:19:10,000 --> 00:19:12,639 Speaker 1: to go low instead of the fake Michelle Obama thing, 365 00:19:12,680 --> 00:19:16,040 Speaker 1: which is when they go low, we go high. It's like, no, ma'am, 366 00:19:16,119 --> 00:19:16,560 Speaker 1: y'all are not. 367 00:19:17,200 --> 00:19:17,560 Speaker 3: Yes. 368 00:19:18,600 --> 00:19:21,359 Speaker 1: So I kind of appreciate the honesty on that front. 369 00:19:22,080 --> 00:19:24,800 Speaker 1: But will it work for any of these new and 370 00:19:25,080 --> 00:19:28,240 Speaker 1: young voters who are moving away from Democrats? That's the question, right, 371 00:19:28,240 --> 00:19:31,840 Speaker 1: they have all this ground to make up. They note 372 00:19:31,840 --> 00:19:34,440 Speaker 1: in this New York Times piece, in twenty eighteen, Democrats 373 00:19:34,440 --> 00:19:38,320 Speaker 1: accounted for thirty four percent of new voter registrations nationwide, 374 00:19:38,320 --> 00:19:40,960 Speaker 1: while Republicans were only twenty. Yet by twenty twenty four, 375 00:19:41,000 --> 00:19:46,680 Speaker 1: Republicans had overtaken Democrats. There's so many great quotes in here. Quote, 376 00:19:47,600 --> 00:19:50,600 Speaker 1: you can't register a young Latino or young black voter 377 00:19:50,680 --> 00:19:53,240 Speaker 1: and assume that they're going to know it's Democrats that 378 00:19:53,320 --> 00:19:56,159 Speaker 1: have the best policies. They go on to bemoane that 379 00:19:56,440 --> 00:20:01,600 Speaker 1: Democrats have this huge infrastructure of nonprofits that register voters. Now, 380 00:20:01,840 --> 00:20:05,359 Speaker 1: those are considered left leaning nonprofits because they were in 381 00:20:05,400 --> 00:20:10,720 Speaker 1: the business of targeting young, first time new voters, minority 382 00:20:10,800 --> 00:20:16,440 Speaker 1: voters in cities, and it turns out now those aren't Democrats. 383 00:20:16,520 --> 00:20:20,879 Speaker 1: They're registering too many Republicans when they go to the 384 00:20:20,880 --> 00:20:23,600 Speaker 1: people that they've been going to for all this time. Oops. 385 00:20:23,920 --> 00:20:27,320 Speaker 3: Yeah, whoop, see on that one. I think that the idea. 386 00:20:27,160 --> 00:20:30,720 Speaker 2: That they can't rely on young voters anymore. I mean, 387 00:20:30,760 --> 00:20:33,600 Speaker 2: obviously that should be the all alarm bell. And I 388 00:20:33,680 --> 00:20:38,720 Speaker 2: just don't think that Gavin Newsom's imitating Trump is going 389 00:20:38,760 --> 00:20:40,520 Speaker 2: to move the needle with those young people. 390 00:20:41,280 --> 00:20:43,560 Speaker 4: They are concerned about things. 391 00:20:43,160 --> 00:20:45,480 Speaker 2: And they don't see either party kind of speaking of 392 00:20:45,520 --> 00:20:46,160 Speaker 2: those interests. 393 00:20:46,200 --> 00:20:47,720 Speaker 3: I think that they're going to. 394 00:20:47,640 --> 00:20:50,159 Speaker 4: Be malleable in a way that they haven't been in 395 00:20:50,160 --> 00:20:50,639 Speaker 4: the past. 396 00:20:51,359 --> 00:20:51,959 Speaker 3: We'll see. 397 00:20:52,040 --> 00:20:56,240 Speaker 2: I wish Gavin Newsom the best with making people laugh 398 00:20:56,320 --> 00:20:57,280 Speaker 2: with his tweets. 399 00:20:57,880 --> 00:21:00,560 Speaker 1: Hey, you know what, we're not mad at entertainment usually, 400 00:21:00,640 --> 00:21:03,359 Speaker 1: So can I end with one more quote from this piece? 401 00:21:03,880 --> 00:21:06,520 Speaker 1: This is the last two paragraphs. Any hope that the 402 00:21:06,600 --> 00:21:09,119 Speaker 1: drift away from the Democratic Party would end organically with 403 00:21:09,160 --> 00:21:11,680 Speaker 1: mister Trump's election has been dashed by the limited data 404 00:21:11,680 --> 00:21:14,040 Speaker 1: so far in twenty twenty five, there are now roughly 405 00:21:14,040 --> 00:21:17,080 Speaker 1: one hundred and sixty thousand fewer registered Democrats than on 406 00:21:17,119 --> 00:21:22,199 Speaker 1: election day twenty twenty four, and two hundred thousand more Republicans. Quote, 407 00:21:22,640 --> 00:21:26,040 Speaker 1: it's going back. It's going to get worse before it 408 00:21:26,080 --> 00:21:28,760 Speaker 1: gets better. Yeah, clock's digging. 409 00:21:29,080 --> 00:21:31,480 Speaker 3: Yeah, it's gonna get worse before going better. 410 00:21:31,760 --> 00:21:36,240 Speaker 1: All this comes from the topics in our first segment. Ye, right, 411 00:21:36,440 --> 00:21:40,960 Speaker 1: like you are reaping what you sew. That's what's happened. 412 00:21:41,280 --> 00:21:42,760 Speaker 3: You really are, and enjoy that. 413 00:21:43,640 --> 00:21:46,479 Speaker 2: We'll be right back on normally to talk booze and 414 00:21:46,600 --> 00:21:47,840 Speaker 2: why people. 415 00:21:47,520 --> 00:21:48,960 Speaker 3: Aren't drinking more of it. 416 00:21:49,320 --> 00:21:56,520 Speaker 2: Be right back, Welcome back to normally where alcohol. 417 00:21:56,080 --> 00:21:59,000 Speaker 3: Use maybe is down. Maybe, I don't know. 418 00:21:59,040 --> 00:22:01,600 Speaker 2: We're gonna have to look at this chart and see 419 00:22:01,640 --> 00:22:04,639 Speaker 2: what it actually says. It's from a Gallup poll that 420 00:22:04,680 --> 00:22:08,520 Speaker 2: everybody's talking about, and it's called American's Use of Alcoholic 421 00:22:08,560 --> 00:22:10,840 Speaker 2: Beverages nineteen thirty nine to twenty twenty five. 422 00:22:11,280 --> 00:22:12,960 Speaker 3: The question is this, and. 423 00:22:12,920 --> 00:22:16,320 Speaker 2: I kind of dare you to ask this question to 424 00:22:16,400 --> 00:22:18,600 Speaker 2: the average person on the street and see if they 425 00:22:18,640 --> 00:22:20,800 Speaker 2: know what the hell you are talking about. 426 00:22:21,240 --> 00:22:23,520 Speaker 3: Do you have occasion to use. 427 00:22:23,400 --> 00:22:27,640 Speaker 2: Alcoholic beverages such as liquor, wine or beer or are 428 00:22:27,680 --> 00:22:31,160 Speaker 2: you a total abstainer, do you have occasion? 429 00:22:32,960 --> 00:22:33,440 Speaker 3: I don't know. 430 00:22:33,760 --> 00:22:35,639 Speaker 2: I don't know that I do have occasion, but I 431 00:22:35,680 --> 00:22:36,480 Speaker 2: do it anyway. 432 00:22:36,720 --> 00:22:39,639 Speaker 1: That is a strange wording, right, So I don't know. 433 00:22:39,760 --> 00:22:41,119 Speaker 3: I feel like they should change the wording. 434 00:22:41,160 --> 00:22:43,600 Speaker 2: But I think they've been asking the same question since 435 00:22:43,680 --> 00:22:44,680 Speaker 2: nineteen thirty nine. 436 00:22:45,160 --> 00:22:47,880 Speaker 3: Okay, now they don't want to change it, but I don't. 437 00:22:47,920 --> 00:22:51,120 Speaker 1: They haven't talk like this. They haven't adjusted for literacy 438 00:22:51,160 --> 00:22:53,720 Speaker 1: levels of the American public. SERI. 439 00:22:54,240 --> 00:22:56,520 Speaker 2: But so look, when they first started asking this question 440 00:22:56,560 --> 00:22:59,280 Speaker 2: in nineteen thirty nine, that number was fifty eight percent, 441 00:22:59,359 --> 00:23:01,600 Speaker 2: and now it's fifty four So has there been a 442 00:23:01,680 --> 00:23:05,399 Speaker 2: collapse in drinking? I don't know necessarily that that's true. 443 00:23:06,119 --> 00:23:08,639 Speaker 2: In twenty twenty two, once again going back to the 444 00:23:08,680 --> 00:23:11,359 Speaker 2: COVID years and maybe some bad things that happened during 445 00:23:11,359 --> 00:23:15,760 Speaker 2: that time, that number was sixty seven percent. I think 446 00:23:15,760 --> 00:23:17,439 Speaker 2: I've mentioned the story on the show before. But I 447 00:23:17,440 --> 00:23:20,080 Speaker 2: remember my currently she's fifteen year old daughter, and then 448 00:23:20,119 --> 00:23:23,800 Speaker 2: she was ten and twenty twenty walking into my husband 449 00:23:23,840 --> 00:23:26,639 Speaker 2: and I having online drinks FaceTime drinks with our friends 450 00:23:26,680 --> 00:23:31,400 Speaker 2: and being like, hmm, is alcohol use up around really? 451 00:23:31,440 --> 00:23:31,880 Speaker 1: Our girl? 452 00:23:32,200 --> 00:23:35,320 Speaker 2: Why do you ask so yes, it was up and 453 00:23:35,520 --> 00:23:38,679 Speaker 2: now it's back down. Really don't see a dramatic change. 454 00:23:38,680 --> 00:23:40,520 Speaker 2: I don't know why all the headlines are like gen 455 00:23:40,640 --> 00:23:41,520 Speaker 2: Z doesn't drink. 456 00:23:41,640 --> 00:23:42,400 Speaker 3: Maybe not yet. 457 00:23:42,520 --> 00:23:44,200 Speaker 4: Maybe let them have a couple of kids and see 458 00:23:44,240 --> 00:23:45,040 Speaker 4: what they do after that. 459 00:23:45,480 --> 00:23:48,320 Speaker 1: Yeah, I feel like my drinking bell curve is on 460 00:23:48,359 --> 00:23:51,760 Speaker 1: its downslope, you know, or like the amount that I 461 00:23:51,800 --> 00:23:55,000 Speaker 1: pay for each drink is so much higher at this point, 462 00:23:55,800 --> 00:23:59,240 Speaker 1: so I'm certainly down on the curve from twenty twenty. 463 00:23:59,640 --> 00:23:59,880 Speaker 3: Yeah. 464 00:24:00,000 --> 00:24:01,840 Speaker 1: I think one of the things that's part of this 465 00:24:01,880 --> 00:24:05,240 Speaker 1: discussion is a lot of people saying arguing, well, moderate 466 00:24:05,320 --> 00:24:08,680 Speaker 1: drinking is in fact good for you, right, it has 467 00:24:08,760 --> 00:24:12,000 Speaker 1: many social benefits it has even if you're talking about 468 00:24:12,000 --> 00:24:14,080 Speaker 1: heart health, I think with wine and like, I'm not 469 00:24:14,119 --> 00:24:15,879 Speaker 1: going to get into the statistics on this, but like, 470 00:24:16,280 --> 00:24:19,840 Speaker 1: you know, this can sha an non evil thing, right, 471 00:24:19,880 --> 00:24:22,520 Speaker 1: And then there are other people who are like contrare, 472 00:24:23,119 --> 00:24:27,760 Speaker 1: even moderate drinking is terrible for you. And I think 473 00:24:27,800 --> 00:24:32,600 Speaker 1: one of the things that during COVID we lost is 474 00:24:32,640 --> 00:24:36,320 Speaker 1: that we ended up having to do drinks on zoom 475 00:24:36,760 --> 00:24:40,400 Speaker 1: instead of drinks in person, and drinks in person is 476 00:24:40,640 --> 00:24:42,560 Speaker 1: very important to society. 477 00:24:42,480 --> 00:24:47,080 Speaker 2: Right, right, exactly. Face to face interactions are important. Friendships 478 00:24:47,080 --> 00:24:50,480 Speaker 2: are important. Sometimes alcohol is the lubrican for that. I 479 00:24:51,280 --> 00:24:53,199 Speaker 2: don't drink nearly as much as i'd like to, is 480 00:24:53,200 --> 00:24:54,400 Speaker 2: what I always say about it. 481 00:24:54,440 --> 00:24:56,480 Speaker 3: But in my old age. 482 00:24:56,280 --> 00:24:59,560 Speaker 2: I can really only have a maximum to drinks when 483 00:24:59,600 --> 00:25:02,280 Speaker 2: I go out, and two drinks is like really on 484 00:25:02,320 --> 00:25:03,359 Speaker 2: the border, like one. 485 00:25:03,240 --> 00:25:03,640 Speaker 3: And a half. 486 00:25:03,720 --> 00:25:05,840 Speaker 2: I like to say, like my second drink with my husband, 487 00:25:05,840 --> 00:25:06,879 Speaker 2: I'll be like we split it. 488 00:25:07,240 --> 00:25:09,639 Speaker 4: Yes, old age, and it's tough. 489 00:25:09,760 --> 00:25:10,120 Speaker 1: It's tough. 490 00:25:10,119 --> 00:25:12,760 Speaker 2: Funny you youngsters listening out there. You don't know you 491 00:25:12,800 --> 00:25:14,320 Speaker 2: don't sleep after two drinks. 492 00:25:14,560 --> 00:25:16,880 Speaker 1: No. I want to shout out a piece from twenty 493 00:25:16,920 --> 00:25:18,520 Speaker 1: twenty two that I just loved. It was one of 494 00:25:18,520 --> 00:25:22,040 Speaker 1: my favorite pieces reckoning with pandemic era policies. It was 495 00:25:22,040 --> 00:25:24,679 Speaker 1: by Peter Suderman in Reason magazine, and it's called what 496 00:25:24,760 --> 00:25:28,320 Speaker 1: Old Time Saloons tell Us about the Pandemics Damage, And 497 00:25:28,520 --> 00:25:31,119 Speaker 1: he basically said, look like saloons are where the ideas 498 00:25:31,160 --> 00:25:33,680 Speaker 1: that would define America were first hashed out. There's this 499 00:25:34,119 --> 00:25:37,040 Speaker 1: you know, back and forth, there's this freewheeling debate that 500 00:25:37,080 --> 00:25:39,320 Speaker 1: you can have in these kinds of places. And when 501 00:25:39,359 --> 00:25:42,080 Speaker 1: you take that away you lose something. And he actually 502 00:25:42,080 --> 00:25:44,400 Speaker 1: if you found research from an economist at the University 503 00:25:44,400 --> 00:25:49,400 Speaker 1: of Maryland that showed that in places where that where 504 00:25:49,440 --> 00:25:54,040 Speaker 1: prohibition had been very harshly enforced versus those that had 505 00:25:54,040 --> 00:25:59,480 Speaker 1: remained a little bit wet, Yeah, patents went down increasingly 506 00:25:59,520 --> 00:26:03,080 Speaker 1: in places that were dry versus those that it was 507 00:26:03,480 --> 00:26:06,840 Speaker 1: not as impactful, right, not as impacted. Basically the idea 508 00:26:06,840 --> 00:26:09,680 Speaker 1: that these loose social connections that you get in a bar, 509 00:26:10,080 --> 00:26:14,320 Speaker 1: that you get over drinks lead to innovation, to ideas 510 00:26:14,359 --> 00:26:17,280 Speaker 1: to hashing things out. And I just love the idea 511 00:26:17,280 --> 00:26:20,199 Speaker 1: that somebody actually tried to reckon with what you lose 512 00:26:20,680 --> 00:26:21,320 Speaker 1: when we do that. 513 00:26:21,400 --> 00:26:23,680 Speaker 4: So I'm just cautionedly he's a great writer if. 514 00:26:23,600 --> 00:26:26,960 Speaker 1: You're sticking to two drinks, like the society doesn't have 515 00:26:27,000 --> 00:26:30,200 Speaker 1: to lose it all together, right, Like there's real good there. 516 00:26:30,480 --> 00:26:32,760 Speaker 2: Yeah, try to have them out with your friends and 517 00:26:33,200 --> 00:26:36,040 Speaker 2: talking to people instead of like talking to your AI 518 00:26:36,320 --> 00:26:36,760 Speaker 2: at home. 519 00:26:37,000 --> 00:26:37,679 Speaker 3: Best kids. 520 00:26:37,960 --> 00:26:41,680 Speaker 2: Thanks for joining us on Normally Normally airs Tuesdays and Thursdays, 521 00:26:41,720 --> 00:26:44,640 Speaker 2: and you can subscribe anywhere you get your podcasts. 522 00:26:44,680 --> 00:26:46,000 Speaker 3: Get in touch with us at. 523 00:26:45,840 --> 00:26:49,400 Speaker 2: Normallythepod at gmail dot com. Thanks for listening and when 524 00:26:49,440 --> 00:26:51,160 Speaker 2: things get weird at normally