1 00:00:00,040 --> 00:00:03,120 Speaker 1: Hey guys, and welcome back to normally the show with 2 00:00:03,240 --> 00:00:04,680 Speaker 1: normalish takes for when the. 3 00:00:04,559 --> 00:00:07,200 Speaker 2: News gets weird. I am Mary Catherine. 4 00:00:06,840 --> 00:00:09,600 Speaker 3: Ham and I am Carol Marco. It's him, Mary Catherine. 5 00:00:09,600 --> 00:00:10,360 Speaker 3: How was you again? 6 00:00:11,000 --> 00:00:13,280 Speaker 2: Oh it's pretty good, uneventful. 7 00:00:13,400 --> 00:00:17,240 Speaker 1: I have the annual denial that I have seasonal allergies, 8 00:00:17,239 --> 00:00:20,520 Speaker 1: and then acceptance that I have season's seasonal allergies because 9 00:00:20,560 --> 00:00:23,080 Speaker 1: I'm like, I am young and vibrant and no thing 10 00:00:23,120 --> 00:00:26,799 Speaker 1: bothers me, and then right around mid March or late March, 11 00:00:26,840 --> 00:00:28,080 Speaker 1: I'm like, what's wrong with me? 12 00:00:29,120 --> 00:00:30,920 Speaker 2: Yes, that takes some zerts head girl. 13 00:00:31,520 --> 00:00:33,760 Speaker 3: I don't know if it's youth related. My middle son 14 00:00:33,920 --> 00:00:36,800 Speaker 3: has had it real bad his whole life. We moved 15 00:00:36,800 --> 00:00:39,040 Speaker 3: to Florida three years ago. It largely went away. We 16 00:00:39,040 --> 00:00:41,120 Speaker 3: were like, oh, Florida's the best. This is you know, 17 00:00:41,360 --> 00:00:44,519 Speaker 3: all fixed this year came back with vengeance they were 18 00:00:44,640 --> 00:00:47,240 Speaker 3: Florida was like, no, actually, we have all the pollen 19 00:00:47,320 --> 00:00:49,400 Speaker 3: here and you will suffer. 20 00:00:49,360 --> 00:00:51,400 Speaker 2: Sometimes the different kind of pollen. Will you save you? 21 00:00:51,440 --> 00:00:53,680 Speaker 1: See, my pride comes from living in North Carolina and 22 00:00:53,760 --> 00:00:57,120 Speaker 1: Georgia before coming here. So I was like, Paul can't 23 00:00:57,160 --> 00:01:00,720 Speaker 1: touch me, and it turns out here it can pollen man. 24 00:01:01,120 --> 00:01:08,920 Speaker 3: Yeah, well, there's a lot of news today. Our first 25 00:01:08,959 --> 00:01:15,120 Speaker 3: story is the Bernie AOC rally, and they had a 26 00:01:15,240 --> 00:01:17,080 Speaker 3: rally that had spillover crowds. 27 00:01:17,920 --> 00:01:18,120 Speaker 2: You know. 28 00:01:18,160 --> 00:01:22,240 Speaker 3: My normy husband pointed out, like they only reserved arena 29 00:01:22,280 --> 00:01:25,280 Speaker 3: for eight hundred people and then they got like more 30 00:01:25,319 --> 00:01:28,440 Speaker 3: than that, and so it's like not these humongous numbers 31 00:01:28,480 --> 00:01:31,360 Speaker 3: that it seems to be. But anyway, the Wall Street 32 00:01:31,400 --> 00:01:33,960 Speaker 3: Journal reports they initially reserved a space at their first 33 00:01:34,000 --> 00:01:36,600 Speaker 3: stop of Omaha, Nebraska that could hold eight hundred people, 34 00:01:36,880 --> 00:01:39,040 Speaker 3: but had to move to our bigger venue so thirty 35 00:01:39,040 --> 00:01:43,920 Speaker 3: four hundred could attend. Bernie said, this is insane. I'm 36 00:01:43,959 --> 00:01:46,240 Speaker 3: not running for anything, and two time presidential you know, 37 00:01:46,400 --> 00:01:49,200 Speaker 3: the two time presidential candidates set in an interview. People 38 00:01:49,280 --> 00:01:51,520 Speaker 3: are outraged and they're frightened, and they want to fight back, 39 00:01:51,560 --> 00:01:53,960 Speaker 3: and this is one form of beginning that struggle to 40 00:01:54,000 --> 00:01:59,560 Speaker 3: fight back. Maybe maybe or Bernie has always had a 41 00:01:59,760 --> 00:02:03,960 Speaker 3: very passionate fan base, and I think that that passionate 42 00:02:04,000 --> 00:02:06,680 Speaker 3: fan base is looking for something to do right now, 43 00:02:06,720 --> 00:02:09,680 Speaker 3: and they love coming out and hearing from Bernie and 44 00:02:09,880 --> 00:02:11,080 Speaker 3: the new Bernie AOC. 45 00:02:12,040 --> 00:02:14,360 Speaker 1: Yeah, they were in several places, so I think they 46 00:02:14,360 --> 00:02:18,240 Speaker 1: were in Nebraska, They went to Denver, Colorado, and they 47 00:02:18,240 --> 00:02:21,560 Speaker 1: were in Tempe, Arizona, where AOC will give you a 48 00:02:21,600 --> 00:02:25,200 Speaker 1: little taste of what the messaging was like. Here she 49 00:02:25,400 --> 00:02:29,280 Speaker 1: is talking about the fight Oligarchy tour, and we'll talk 50 00:02:29,320 --> 00:02:31,240 Speaker 1: about the clumsiness of that phrase in a moment. 51 00:02:31,280 --> 00:02:35,880 Speaker 4: But first, AOC, we need a Democratic party that fights 52 00:02:35,919 --> 00:02:37,080 Speaker 4: harder for us too. 53 00:02:48,000 --> 00:02:59,040 Speaker 5: But but that means here's what that means. That means 54 00:02:59,200 --> 00:03:04,160 Speaker 5: our commune, each and every one of us choosing and 55 00:03:04,280 --> 00:03:08,440 Speaker 5: voting for Democrats and elected officials who know how to 56 00:03:08,520 --> 00:03:09,120 Speaker 5: stand for. 57 00:03:09,120 --> 00:03:10,200 Speaker 3: The working class. 58 00:03:13,000 --> 00:03:15,800 Speaker 5: And Tempe, I want to give. 59 00:03:15,639 --> 00:03:18,919 Speaker 4: You your flowers for a second, because you all have been 60 00:03:18,960 --> 00:03:25,400 Speaker 4: working over time to make that happen. In fact, one 61 00:03:25,440 --> 00:03:28,880 Speaker 4: thing I love about Arizonans is that you all have 62 00:03:29,040 --> 00:03:32,640 Speaker 4: shown that if a US senator isn't fighting hard enough 63 00:03:32,680 --> 00:03:37,120 Speaker 4: for you, you're not afraid to replace her with one 64 00:03:37,200 --> 00:03:39,280 Speaker 4: who will and win. 65 00:03:45,480 --> 00:03:46,400 Speaker 5: And that's how you. 66 00:03:46,440 --> 00:03:49,040 Speaker 4: Got two fantastic senators and Mark. 67 00:03:48,880 --> 00:03:50,520 Speaker 3: Kelly and Reuben Diego. 68 00:03:53,840 --> 00:03:57,960 Speaker 1: So a couple things that was shots fired at Kirsten Sinema, 69 00:03:58,080 --> 00:04:02,440 Speaker 1: by the way, was up all of her former colleagues 70 00:04:02,720 --> 00:04:07,280 Speaker 1: for having been for taking out the filibuster. 71 00:04:06,960 --> 00:04:10,400 Speaker 2: And now they need it. And so she was. 72 00:04:10,400 --> 00:04:13,880 Speaker 1: Lighting up AOC for her hypocrisy and convenient change on 73 00:04:13,880 --> 00:04:15,880 Speaker 1: this issue just last week on X. 74 00:04:16,080 --> 00:04:18,520 Speaker 2: So that's partly where this is coming from. 75 00:04:18,839 --> 00:04:22,160 Speaker 1: Hereson Cinema is no longer a senator because the Democratic 76 00:04:22,200 --> 00:04:24,719 Speaker 1: Party was like, she seems very reasonable. 77 00:04:24,920 --> 00:04:25,920 Speaker 2: Get her out of here and have that. 78 00:04:27,440 --> 00:04:30,160 Speaker 1: So another thing that I noticed about this clip in Arizona. 79 00:04:31,200 --> 00:04:35,320 Speaker 1: Behind her, you have white women wearing a tax the 80 00:04:35,400 --> 00:04:38,400 Speaker 1: Rich t shirt, what looks like a Union T shirt, 81 00:04:38,880 --> 00:04:43,320 Speaker 1: a rainbow T shirt, and a one Amacha Latte t shirt, 82 00:04:43,320 --> 00:04:48,119 Speaker 1: one which came with the pink hair in the front. 83 00:04:48,880 --> 00:04:51,800 Speaker 1: This is the picture of the base that wants to 84 00:04:51,839 --> 00:04:54,359 Speaker 1: be enthused, that wants to come out, that wants to 85 00:04:54,440 --> 00:04:57,839 Speaker 1: really fight. And how do you take that message, which 86 00:04:57,880 --> 00:05:00,440 Speaker 1: I think, honestly, I think Bernie and AOC a better 87 00:05:00,480 --> 00:05:02,599 Speaker 1: messengers than establishment. 88 00:05:02,160 --> 00:05:04,600 Speaker 2: Folks at the shoint probably, But how do. 89 00:05:04,600 --> 00:05:08,360 Speaker 1: You take that and connect it with regular people who 90 00:05:08,400 --> 00:05:10,919 Speaker 1: are not the people standing behind AOC and that. 91 00:05:10,600 --> 00:05:11,880 Speaker 3: That's their big problem there? 92 00:05:11,960 --> 00:05:14,040 Speaker 2: Yeah, are you know Bernie's a normal guy. 93 00:05:14,360 --> 00:05:18,320 Speaker 3: I don't think Bernie's a normal guy. He really hates billionaires. 94 00:05:18,320 --> 00:05:21,039 Speaker 3: I mean, he really hates billionaires, hates them, could not 95 00:05:21,200 --> 00:05:25,479 Speaker 3: stand them. Multimillionaires though he hates them a little less. 96 00:05:26,320 --> 00:05:29,200 Speaker 3: He talked about his net worth on the Lex Friedman 97 00:05:29,279 --> 00:05:31,200 Speaker 3: Show a few years ago. Let's roll that clip. 98 00:05:32,080 --> 00:05:34,279 Speaker 6: Do I own three residences? Yeah? 99 00:05:34,320 --> 00:05:34,560 Speaker 3: I do. 100 00:05:34,960 --> 00:05:36,680 Speaker 6: I live here in Burlington, Vermont. We live in a 101 00:05:36,920 --> 00:05:39,080 Speaker 6: middle class and they would guess what. I'm the United 102 00:05:39,160 --> 00:05:42,120 Speaker 6: States Centator and I own a home in Washington, d C. 103 00:05:42,360 --> 00:05:44,919 Speaker 6: And guess what, Like many thousands of people in the 104 00:05:44,960 --> 00:05:46,880 Speaker 6: state of Vermont, I have a summer camp. It's a 105 00:05:46,960 --> 00:05:49,720 Speaker 6: nice one on Lake Champlain. That's it. Now, how did 106 00:05:49,760 --> 00:05:52,760 Speaker 6: I get the money? I wrote two best selling books, 107 00:05:52,880 --> 00:05:55,560 Speaker 6: including this book on capitalism, and I make kind one 108 00:05:55,720 --> 00:05:57,840 Speaker 6: hundred and seventy five thousand to you. And that's more 109 00:05:57,920 --> 00:06:03,919 Speaker 6: or less how I became the zillionaire that I am. 110 00:06:01,960 --> 00:06:05,360 Speaker 3: As opposed to the billionaires who killed little babies and 111 00:06:05,440 --> 00:06:07,640 Speaker 3: drank their blood. That's how they made their money. He 112 00:06:07,680 --> 00:06:10,680 Speaker 3: made his money via capitalism, so he. 113 00:06:10,680 --> 00:06:12,640 Speaker 1: Should be able to keep his money because he did 114 00:06:12,640 --> 00:06:15,080 Speaker 1: it doing the right thing right. 115 00:06:15,120 --> 00:06:17,360 Speaker 3: And that's the only way you're allowed to keep your 116 00:06:17,360 --> 00:06:20,120 Speaker 3: money is if you are Bernie Sanders, and you do 117 00:06:20,200 --> 00:06:22,080 Speaker 3: it the way he does it. And even if you 118 00:06:22,160 --> 00:06:24,480 Speaker 3: do it the way he does it, he still might 119 00:06:24,520 --> 00:06:26,839 Speaker 3: not like that because you might have the wrong opinions. 120 00:06:26,839 --> 00:06:29,040 Speaker 3: You might have written the pro capitalism book as well. 121 00:06:29,040 --> 00:06:29,920 Speaker 2: No, you can't do that as. 122 00:06:29,800 --> 00:06:33,039 Speaker 3: You committed capitalism. 123 00:06:33,160 --> 00:06:34,720 Speaker 1: I think one of the problems for them is they 124 00:06:34,720 --> 00:06:37,520 Speaker 1: try to reorganize. And I don't think people are off 125 00:06:37,560 --> 00:06:40,720 Speaker 1: base here. Politico's comparing it to the Tea Party anger 126 00:06:41,320 --> 00:06:46,080 Speaker 1: of the early Obama years. The people who are coming 127 00:06:46,120 --> 00:06:50,800 Speaker 1: out are angry at establishment Democrats. Those establishment Democrats, to 128 00:06:50,839 --> 00:06:52,960 Speaker 1: some extent, as we saw with Schumer and the government 129 00:06:53,000 --> 00:06:56,680 Speaker 1: shutdown fight, are sort of handcuffed by the impotence of 130 00:06:56,720 --> 00:07:01,240 Speaker 1: not being in charge of anything in Washington, right, and 131 00:07:01,320 --> 00:07:03,279 Speaker 1: also sort of handcuffed by the fact that they love 132 00:07:03,440 --> 00:07:05,479 Speaker 1: a really powerful executive and then they handed all that 133 00:07:05,560 --> 00:07:06,880 Speaker 1: power to Donald Trump. 134 00:07:07,120 --> 00:07:11,400 Speaker 3: Yeah oopsie, yeah oops right. So, and that also explains 135 00:07:11,440 --> 00:07:14,760 Speaker 3: why they're so excited about these attacks on Tesla, because 136 00:07:14,760 --> 00:07:18,080 Speaker 3: it seems like doing something like, look, they're doing something. 137 00:07:18,120 --> 00:07:22,760 Speaker 3: They're firebombing Tesla manufacturers, they're keying Tesla cars. They're really 138 00:07:22,800 --> 00:07:25,440 Speaker 3: showing that Elon Musk of course, and I've been loving 139 00:07:25,480 --> 00:07:28,200 Speaker 3: following the Tesla stock because it looks like Tim Walls 140 00:07:28,240 --> 00:07:31,000 Speaker 3: really did call the bottom of it. 141 00:07:30,560 --> 00:07:32,480 Speaker 2: But that's very it was. 142 00:07:33,320 --> 00:07:35,920 Speaker 3: It was two twenty five when Tim Walls was super 143 00:07:35,960 --> 00:07:39,240 Speaker 3: excited about the stock dropping. It's two seventy one today 144 00:07:39,280 --> 00:07:43,320 Speaker 3: and climbing. Literally, we should have bought the dip when 145 00:07:43,440 --> 00:07:45,160 Speaker 3: Tim Walls talked about. 146 00:07:44,920 --> 00:07:47,360 Speaker 2: It, He's like our new Jim Kramer. It's the opposite 147 00:07:47,440 --> 00:07:48,040 Speaker 2: Jim Kramer. 148 00:07:49,320 --> 00:07:52,880 Speaker 1: Politico noted congressional Democrats have typically enjoyed higher popularity with 149 00:07:52,920 --> 00:07:55,880 Speaker 1: their voting base than their Republican counterparts, but the trauma 150 00:07:55,920 --> 00:07:58,960 Speaker 1: of the twenty twenty four presidential election defeat appears to 151 00:07:59,040 --> 00:08:02,720 Speaker 1: have ruptured that reallyationship. Congressional Democrats are now underwater with 152 00:08:02,800 --> 00:08:05,560 Speaker 1: their own voters in approval ratings, and this is the 153 00:08:05,600 --> 00:08:09,680 Speaker 1: first time that's happened in this particular poll's history, and 154 00:08:09,800 --> 00:08:12,840 Speaker 1: that super majorities of them want them to do more 155 00:08:12,920 --> 00:08:16,400 Speaker 1: to fight Donald Trump. This is different from twenty seventeen 156 00:08:16,400 --> 00:08:19,600 Speaker 1: because they got real excited about how the party resisted 157 00:08:20,040 --> 00:08:24,480 Speaker 1: in twenty seventeen, but resisting didn't work, and it's not 158 00:08:24,640 --> 00:08:27,280 Speaker 1: working now, so they're less satisfied. 159 00:08:28,440 --> 00:08:30,960 Speaker 3: Pink hats back out. I don't think there's anything wrong 160 00:08:31,000 --> 00:08:33,439 Speaker 3: with that. Go go on to march kids do it. 161 00:08:34,480 --> 00:08:37,280 Speaker 1: They need something, but they don't know what the thing is, 162 00:08:37,360 --> 00:08:39,280 Speaker 1: which is again I think to your point, why they 163 00:08:39,360 --> 00:08:42,400 Speaker 1: end up oops burning Tesla's like that doesn't seem like 164 00:08:42,440 --> 00:08:47,240 Speaker 1: a great idea. Bernie, for his part, was asked about 165 00:08:47,280 --> 00:08:51,400 Speaker 1: some of the intra party conflict in the lightest way 166 00:08:51,480 --> 00:08:54,920 Speaker 1: possible by Jonathan Carl. Let's run that clip and see 167 00:08:54,920 --> 00:08:55,600 Speaker 1: how he reacted. 168 00:08:55,760 --> 00:08:58,040 Speaker 6: She and sphy is young people all over the country. 169 00:08:58,040 --> 00:08:59,520 Speaker 3: Would you like to see her joining the Senate? 170 00:09:00,640 --> 00:09:02,720 Speaker 6: Right now? We have, as I said, just a whole 171 00:09:02,720 --> 00:09:04,960 Speaker 6: lot of people in the Congress. Okay, got it? 172 00:09:05,000 --> 00:09:07,120 Speaker 3: And thanks way, I got one that's important. 173 00:09:07,120 --> 00:09:09,200 Speaker 6: Well, I asked you, okay, you know you want to 174 00:09:09,200 --> 00:09:10,440 Speaker 6: do nonsense nonsense. 175 00:09:10,559 --> 00:09:12,240 Speaker 2: No, I don't want. 176 00:09:12,120 --> 00:09:13,960 Speaker 6: To talk about inside the beltway stuff. I got thirty 177 00:09:13,960 --> 00:09:15,800 Speaker 6: two thousand people. I was just asking me about AOC 178 00:09:15,880 --> 00:09:17,760 Speaker 6: because she was well, everything fine, but I don't want 179 00:09:17,800 --> 00:09:18,480 Speaker 6: to talk about this. 180 00:09:18,559 --> 00:09:20,640 Speaker 3: I might even think that he was being asked about 181 00:09:20,640 --> 00:09:23,200 Speaker 3: the INJA party stuff. I mean, I guess if you could, 182 00:09:23,640 --> 00:09:26,160 Speaker 3: he could have seen it as a do you like her? 183 00:09:26,360 --> 00:09:29,480 Speaker 3: Do you like Chuck? Schumer, But actually what he came 184 00:09:29,559 --> 00:09:33,760 Speaker 3: off as is anti AOC to me. He came off 185 00:09:33,800 --> 00:09:36,480 Speaker 3: as not liking her and not wanting to talk about her. 186 00:09:37,000 --> 00:09:38,600 Speaker 3: It could have it was such a layup. He could 187 00:09:38,600 --> 00:09:41,080 Speaker 3: have said anything. He could have just said, sure, down 188 00:09:41,080 --> 00:09:43,240 Speaker 3: the road, she would make a fantastic senator. 189 00:09:43,520 --> 00:09:46,840 Speaker 1: Anything was possible, anything would have been better than this, 190 00:09:46,880 --> 00:09:50,640 Speaker 1: which brings attention to this and sort of reveals just 191 00:09:50,720 --> 00:09:54,120 Speaker 1: how sensitive a subject it is, maybe not just for him, 192 00:09:54,200 --> 00:09:57,040 Speaker 1: but for everyone in the Democratic Party, because the question 193 00:09:57,120 --> 00:09:59,600 Speaker 1: would you like to see in the Senate implies that 194 00:09:59,600 --> 00:10:02,320 Speaker 1: Schumer might not be there, that Schumer shouldn't be at 195 00:10:02,360 --> 00:10:04,760 Speaker 1: the top of the party. But again in the most 196 00:10:04,880 --> 00:10:08,160 Speaker 1: friendly and innocuous way possible, and you could have just 197 00:10:08,200 --> 00:10:10,320 Speaker 1: been like, oh, up and come, or love to be 198 00:10:10,360 --> 00:10:13,440 Speaker 1: on the trail of or just dance around it. I 199 00:10:13,480 --> 00:10:16,640 Speaker 1: think this is a problem for Democrats going forward. They 200 00:10:16,679 --> 00:10:21,880 Speaker 1: do not face adversarial press, so when asked very easy 201 00:10:22,000 --> 00:10:26,120 Speaker 1: questions that you should very easily anticipate, they end up 202 00:10:26,160 --> 00:10:31,040 Speaker 1: doing this, which I don't think bodes well for the teamwork. 203 00:10:31,440 --> 00:10:34,160 Speaker 3: And John Carl was like, what, no, come. 204 00:10:33,960 --> 00:10:38,480 Speaker 2: Back, you want to do nonsense, nonsense, I just looked 205 00:10:38,480 --> 00:10:38,800 Speaker 2: it up. 206 00:10:39,000 --> 00:10:42,440 Speaker 3: Chuck Schumer is seventy four years old. I'm sorry. I 207 00:10:42,480 --> 00:10:45,360 Speaker 3: know he's not Mitch McConnell eighty three or Nancy Pelosi 208 00:10:45,360 --> 00:10:49,440 Speaker 3: eighty six or whatever eighty four, but these people are 209 00:10:49,480 --> 00:10:52,160 Speaker 3: getting up in age. It's not even crazy to say, 210 00:10:52,480 --> 00:10:56,240 Speaker 3: should AOC be Senator after Chuck Schumer is done with it? 211 00:10:56,440 --> 00:10:56,600 Speaker 7: Right? 212 00:10:57,840 --> 00:11:00,319 Speaker 3: I just I don't know. Again, did you I feel 213 00:11:00,360 --> 00:11:03,680 Speaker 3: the Bernie AOC strife there? I felt like when I 214 00:11:03,720 --> 00:11:06,720 Speaker 3: saw that clip, I thought, wow, Bernie doesn't like her, 215 00:11:06,840 --> 00:11:09,160 Speaker 3: and then you know, I thought about all the other possibilities, 216 00:11:09,160 --> 00:11:10,480 Speaker 3: but that was my first thought. 217 00:11:10,960 --> 00:11:13,280 Speaker 1: No, that's interesting because you know they seem to have 218 00:11:13,320 --> 00:11:16,520 Speaker 1: made some agreement that they are mutually beneficial to each other. 219 00:11:16,520 --> 00:11:19,120 Speaker 1: Sure that she's the new face of Bernie, which, let's 220 00:11:19,160 --> 00:11:22,080 Speaker 1: be serious, they do need they do. Bernie has this 221 00:11:22,800 --> 00:11:27,120 Speaker 1: fan group, but you know, he's older and irascible. He 222 00:11:27,200 --> 00:11:29,800 Speaker 1: might be annoyed that his fan base is turning to her. 223 00:11:30,200 --> 00:11:31,920 Speaker 1: I suppose exactly. 224 00:11:31,760 --> 00:11:35,120 Speaker 3: Right, and I to get to write another bestseller about 225 00:11:35,120 --> 00:11:40,359 Speaker 3: capitalism if she's there. Yeah, about having a capitalism is obviously. 226 00:11:40,760 --> 00:11:45,680 Speaker 1: I am on record that AOC, despite seeming quite silly 227 00:11:45,720 --> 00:11:49,080 Speaker 1: sometimes and being quite wrong should not be underestimated because 228 00:11:49,120 --> 00:11:53,280 Speaker 1: she's a pretty good speaker, can be pretty good on 229 00:11:53,320 --> 00:11:58,000 Speaker 1: social media, has some has a few chops. I think 230 00:11:58,040 --> 00:12:02,040 Speaker 1: it's decent at speaking to the working class and middle class, 231 00:12:02,040 --> 00:12:04,760 Speaker 1: and like hitting some notes that other Democrats are not 232 00:12:04,800 --> 00:12:07,800 Speaker 1: so good at hitting anymore, including the other day at 233 00:12:07,840 --> 00:12:09,400 Speaker 1: one of these rallies, she said, you know, I'm for 234 00:12:09,520 --> 00:12:12,880 Speaker 1: these things because I was a waitress. I understand what 235 00:12:12,920 --> 00:12:15,959 Speaker 1: it feels like to be left behind, and so I 236 00:12:16,000 --> 00:12:21,559 Speaker 1: think that message could be powerful in some places. It's 237 00:12:21,600 --> 00:12:24,880 Speaker 1: not backed up with a lot of experience doing other things. 238 00:12:25,760 --> 00:12:28,959 Speaker 3: And the longer she's away from that life, the more 239 00:12:29,360 --> 00:12:33,000 Speaker 3: Washington she's becoming. There's just no doubt that the AOC 240 00:12:33,120 --> 00:12:36,120 Speaker 3: who came out as the bartender from the Bronx or 241 00:12:36,200 --> 00:12:40,080 Speaker 3: Queens is not the woman we see today. In fact, 242 00:12:40,120 --> 00:12:42,520 Speaker 3: she drove a tesla. I wonder if she still drives one. 243 00:12:43,480 --> 00:12:46,400 Speaker 1: She drove her tesla while visiting Florida during the pandemic. 244 00:12:47,200 --> 00:12:50,560 Speaker 3: Yes, she did what she know might be moving. It 245 00:12:50,600 --> 00:12:53,000 Speaker 3: might be a way to move more to the middle. 246 00:12:53,679 --> 00:12:53,839 Speaker 6: Well. 247 00:12:53,880 --> 00:12:57,319 Speaker 1: I think her Met Gala appearance with her stupid tax 248 00:12:57,360 --> 00:13:00,720 Speaker 1: the rich dress, which by the way, was also, like 249 00:13:00,840 --> 00:13:03,440 Speaker 1: I think twenty twenty one their first event back, and 250 00:13:03,440 --> 00:13:05,480 Speaker 1: they were pretending like they were COVID safe when they 251 00:13:05,520 --> 00:13:08,320 Speaker 1: were not at all. They built an entire outdoor space 252 00:13:08,520 --> 00:13:12,320 Speaker 1: that was a building so that we could have a runway. 253 00:13:11,480 --> 00:13:14,000 Speaker 3: The right inside outside. 254 00:13:14,360 --> 00:13:19,680 Speaker 1: I think that was her peak elitist, democrat, clueless spot. 255 00:13:19,760 --> 00:13:23,920 Speaker 2: And since then she's done some work to be more normal. Right, 256 00:13:24,760 --> 00:13:29,400 Speaker 2: she really got out over Skis on that one. I think, well, 257 00:13:29,400 --> 00:13:29,880 Speaker 2: we'll see. 258 00:13:29,920 --> 00:13:32,920 Speaker 3: We'll see if she challenges Schumer or if she just 259 00:13:32,960 --> 00:13:35,920 Speaker 3: waits it out, which is again not the worst idea either. 260 00:13:37,440 --> 00:13:41,840 Speaker 3: But yeah, is a senator AOC from New York a possibility? 261 00:13:42,800 --> 00:13:44,560 Speaker 3: I think it might be. We're going to take a 262 00:13:44,559 --> 00:13:46,760 Speaker 3: short break and come right back with normally. 263 00:13:50,559 --> 00:13:52,920 Speaker 1: You know that we love to talk about the education 264 00:13:53,280 --> 00:13:56,600 Speaker 1: on this show, Yeah, we do. The Department of Education 265 00:13:56,800 --> 00:14:00,680 Speaker 1: met with an aggressive new executive order from Donald Trump 266 00:14:00,840 --> 00:14:04,040 Speaker 1: last week that we haven't discussed in depth, but it 267 00:14:04,120 --> 00:14:09,280 Speaker 1: was entitled Improving Education Outcomes by Empowering Parents, States and Communities. 268 00:14:09,640 --> 00:14:12,160 Speaker 1: And what it does is it empowers Linda McMahon, who 269 00:14:12,160 --> 00:14:17,839 Speaker 1: is the newly minted Education Secretary, to dismantle and transfer 270 00:14:17,920 --> 00:14:20,960 Speaker 1: out of the Department of education as much money and 271 00:14:21,000 --> 00:14:23,800 Speaker 1: as many duties as possible so that it is not 272 00:14:23,960 --> 00:14:28,720 Speaker 1: running through a federal bureaucracy. Noting that taxpayers spent around 273 00:14:28,720 --> 00:14:31,280 Speaker 1: two hundred billion at the federal level on schools during 274 00:14:31,280 --> 00:14:33,400 Speaker 1: the COVID nineteen pandemic, on top of more than sixty 275 00:14:33,440 --> 00:14:36,440 Speaker 1: billion they spend annually on federal school funding. This money 276 00:14:36,520 --> 00:14:38,960 Speaker 1: is largely distributed by one of the newest cabinet agencies, 277 00:14:39,320 --> 00:14:41,280 Speaker 1: and basically it concludes. 278 00:14:40,840 --> 00:14:41,840 Speaker 2: We haven't gotten a lot out. 279 00:14:42,280 --> 00:14:45,640 Speaker 3: That's right. Their budget is close to seventy billion a year, 280 00:14:45,920 --> 00:14:48,760 Speaker 3: So what are we getting for it? Who gets that money? 281 00:14:48,880 --> 00:14:51,800 Speaker 3: All of these are great questions, and I think that 282 00:14:51,800 --> 00:14:53,600 Speaker 3: that's the goal here. I think a lot of people 283 00:14:54,440 --> 00:14:58,080 Speaker 3: are misled to believe that the end of DOE means 284 00:14:58,240 --> 00:15:02,440 Speaker 3: no funding for you know, schools, and they always try 285 00:15:02,440 --> 00:15:04,560 Speaker 3: to say, like, oh, the free lunch programs or whatever 286 00:15:04,640 --> 00:15:07,640 Speaker 3: will not be funded, and schools are primarily funded by 287 00:15:07,680 --> 00:15:08,480 Speaker 3: state governments. 288 00:15:08,560 --> 00:15:12,000 Speaker 2: Well, free lunch is USDA. That's the entirely difference that's 289 00:15:12,000 --> 00:15:13,000 Speaker 2: always slipped in there. 290 00:15:13,400 --> 00:15:17,520 Speaker 3: The average per state is around eleven percent from the 291 00:15:17,520 --> 00:15:21,000 Speaker 3: federal DOE. Some states get a little more, but you 292 00:15:21,040 --> 00:15:24,440 Speaker 3: could still have that funding, just not through the boondoggle 293 00:15:24,640 --> 00:15:25,800 Speaker 3: of the Department of Education. 294 00:15:26,000 --> 00:15:28,600 Speaker 1: Well, and the executive order also notes that the Department 295 00:15:28,600 --> 00:15:31,360 Speaker 1: of Education, though it does not actually educate anyone and 296 00:15:31,560 --> 00:15:35,600 Speaker 1: sort of funnels money, contains a pr office that includes 297 00:15:35,920 --> 00:15:38,520 Speaker 1: over eighty staffers at a cost of more than ten 298 00:15:38,560 --> 00:15:42,000 Speaker 1: million a year. Oh yeah, so, like, I'm happy to 299 00:15:42,040 --> 00:15:45,520 Speaker 1: take that off the top. Caroline Levitt was asked about 300 00:15:45,520 --> 00:15:47,960 Speaker 1: this on the outside of the White House and said 301 00:15:48,760 --> 00:15:50,760 Speaker 1: what many of us think, which is the Department of 302 00:15:50,840 --> 00:15:54,000 Speaker 1: Education was founded in nineteen seventy or nineteen seventy nine, 303 00:15:54,000 --> 00:15:56,120 Speaker 1: and since then we have spent more than three trillion 304 00:15:56,160 --> 00:15:59,040 Speaker 1: at this bureaucracy. What has been the ROI for the taxpayer? 305 00:15:59,040 --> 00:16:01,560 Speaker 1: Our children's testcores are incredibly concerning when it comes to 306 00:16:01,600 --> 00:16:06,680 Speaker 1: literacy rates, math and science test scores. I do think 307 00:16:06,760 --> 00:16:09,960 Speaker 1: that there's power in returning this money and these decision 308 00:16:10,000 --> 00:16:13,720 Speaker 1: making processes to the states without strings attached. I believe 309 00:16:13,720 --> 00:16:17,120 Speaker 1: Florida in the past, under Desanta's has tried to refuse want. 310 00:16:16,960 --> 00:16:17,800 Speaker 3: To send the money back. 311 00:16:18,160 --> 00:16:21,920 Speaker 2: I love that guy. The only person in America is 312 00:16:22,280 --> 00:16:22,560 Speaker 2: you know. 313 00:16:22,520 --> 00:16:24,440 Speaker 1: What, I want you to take this giant chunk of 314 00:16:24,480 --> 00:16:27,360 Speaker 1: cash back to Washington, because we don't want it to 315 00:16:27,440 --> 00:16:28,320 Speaker 1: need your strings here. 316 00:16:28,600 --> 00:16:32,720 Speaker 3: Amazing. Yeah, he's so good, that's so Yeah. And look, 317 00:16:32,880 --> 00:16:39,440 Speaker 3: Democrats keep throwing kind of nonsense at this plan. Madeline Dean, 318 00:16:39,520 --> 00:16:43,240 Speaker 3: who is a congresswoman in Pennsylvania, said, what you do 319 00:16:43,360 --> 00:16:46,320 Speaker 3: want is an educated electorate, not if you're Donald Trump 320 00:16:46,360 --> 00:16:49,000 Speaker 3: and a cult like like members. They want citizens who 321 00:16:49,000 --> 00:16:51,920 Speaker 3: are not educated. And of course uneducated is what we 322 00:16:52,000 --> 00:16:55,680 Speaker 3: have now. So maybe that's you know, he's trying to 323 00:16:55,760 --> 00:17:01,160 Speaker 3: actually get people educated. I think we've thrown these numbers 324 00:17:01,200 --> 00:17:04,639 Speaker 3: out before, but in New York, for example, only twenty 325 00:17:04,640 --> 00:17:06,800 Speaker 3: three percent of eighth graders of provision in math, and 326 00:17:06,920 --> 00:17:09,480 Speaker 3: numbers only a little bit better for reading at twenty 327 00:17:09,520 --> 00:17:12,720 Speaker 3: eight percent, and a third of the kids just don't 328 00:17:12,760 --> 00:17:16,360 Speaker 3: go to school. So and these are education we won't 329 00:17:16,359 --> 00:17:16,720 Speaker 3: miss you. 330 00:17:17,160 --> 00:17:23,919 Speaker 1: Yeah, these are exacerbated trends, almost entirely caused by COVID 331 00:17:23,960 --> 00:17:28,000 Speaker 1: provisions that went on way too long. It were a 332 00:17:28,119 --> 00:17:32,200 Speaker 1: racket for teachers unions, right and the teachers union leaders 333 00:17:32,240 --> 00:17:34,160 Speaker 1: who caused many of these problems. 334 00:17:34,200 --> 00:17:36,000 Speaker 2: We were on a bad trajectory. 335 00:17:35,480 --> 00:17:39,679 Speaker 1: To begin with, but they caused and exacerbated many of 336 00:17:39,720 --> 00:17:43,560 Speaker 1: the problems, especially absenteeism and some of this learning laws. 337 00:17:43,560 --> 00:17:46,080 Speaker 3: So when they said school was not essential, people believe them. 338 00:17:46,480 --> 00:17:49,480 Speaker 1: Yeah, that's what happened there, and we told them while 339 00:17:49,520 --> 00:17:50,879 Speaker 1: that was happening, that that would happen. 340 00:17:51,200 --> 00:17:53,600 Speaker 2: They are, of course very angry about. 341 00:17:53,320 --> 00:17:56,280 Speaker 1: This, But I would note that it is states that 342 00:17:56,320 --> 00:17:59,280 Speaker 1: have led the way when it comes to the few 343 00:17:59,320 --> 00:18:03,920 Speaker 1: bright spots education in our country, Louisiana, Mississippi, this sort 344 00:18:03,920 --> 00:18:05,719 Speaker 1: of Southern surge of literacy. 345 00:18:06,600 --> 00:18:08,160 Speaker 2: It's because those states. 346 00:18:07,840 --> 00:18:12,199 Speaker 1: Made curriculum changes that were not dictated by the federal government, 347 00:18:12,240 --> 00:18:16,320 Speaker 1: that were dictated by evidence based research that perhaps we 348 00:18:16,359 --> 00:18:20,199 Speaker 1: should be teaching children to actually read with phonics that 349 00:18:20,240 --> 00:18:23,240 Speaker 1: would be safe. Yeah. The extent to which those guys 350 00:18:23,240 --> 00:18:26,000 Speaker 1: get more power and other states can learn from them, 351 00:18:26,640 --> 00:18:27,520 Speaker 1: huge thumbs up. 352 00:18:28,800 --> 00:18:29,080 Speaker 8: I know. 353 00:18:29,600 --> 00:18:34,960 Speaker 1: I caught Randy Winegarden's giant lie this week talking to 354 00:18:35,080 --> 00:18:37,920 Speaker 1: Brandon Heeler at CNN. 355 00:18:38,320 --> 00:18:40,800 Speaker 2: Let's run that for the parents who remember the COVID. 356 00:18:41,280 --> 00:18:44,399 Speaker 9: COVID was a terrible time for us, and as you 357 00:18:44,520 --> 00:18:46,960 Speaker 9: know because I was on your show a lot and 358 00:18:47,000 --> 00:18:52,280 Speaker 9: other shows, I wanted schools to be reopen as early 359 00:18:52,320 --> 00:18:56,240 Speaker 9: as April of twenty twenty. The issue was the fear 360 00:18:56,359 --> 00:18:59,480 Speaker 9: and the issue was to safety issues. But COVID has 361 00:18:59,680 --> 00:19:02,399 Speaker 9: really hurt in so many ways. But this has been 362 00:19:02,440 --> 00:19:05,600 Speaker 9: a Republican talking point for a long time, ma'am. 363 00:19:07,119 --> 00:19:09,440 Speaker 1: To be fair to her, a lot of Republican talking 364 00:19:09,480 --> 00:19:11,800 Speaker 1: points from COVID are just the truth. 365 00:19:12,040 --> 00:19:13,679 Speaker 3: Yeah, and I really bother her. 366 00:19:14,200 --> 00:19:17,040 Speaker 1: Our talking point is the truth when it comes to 367 00:19:18,359 --> 00:19:21,480 Speaker 1: teachers unions fighting to keep schools closed. 368 00:19:21,520 --> 00:19:22,400 Speaker 2: In fact, our friend. 369 00:19:22,280 --> 00:19:26,040 Speaker 1: Tom Elliott over at Graveyan has a giant supercut of 370 00:19:26,119 --> 00:19:30,160 Speaker 1: Randy Winegarden talking talking about this and debating current Randy 371 00:19:30,200 --> 00:19:30,640 Speaker 1: Wine Garden. 372 00:19:30,720 --> 00:19:32,560 Speaker 2: So I just want to play a few of those 373 00:19:32,600 --> 00:19:33,000 Speaker 2: real quick. 374 00:19:33,119 --> 00:19:33,720 Speaker 3: Let's do it. 375 00:19:35,720 --> 00:19:40,080 Speaker 9: Remote and hybrid are really the only two ways you 376 00:19:40,240 --> 00:19:43,840 Speaker 9: can reopen schools safely. 377 00:19:44,359 --> 00:19:47,000 Speaker 10: We've got at the Lady School opening, because if you 378 00:19:47,040 --> 00:19:49,199 Speaker 10: don't have the mask, how are you going to be 379 00:19:49,240 --> 00:19:52,639 Speaker 10: able to do this. There's a huge difference between working 380 00:19:52,680 --> 00:19:54,840 Speaker 10: in Walmart and working as a school. 381 00:19:55,200 --> 00:19:58,199 Speaker 7: You know, even a situation like Florida where it was 382 00:19:58,280 --> 00:20:02,280 Speaker 7: pretty clear that schools should not reopen and where Miami 383 00:20:02,480 --> 00:20:06,320 Speaker 7: schools did not reopen because you had people who were 384 00:20:06,359 --> 00:20:08,359 Speaker 7: courageous and who were willing to divide. 385 00:20:08,640 --> 00:20:11,439 Speaker 9: De Santosi's denials. 386 00:20:10,800 --> 00:20:14,080 Speaker 11: And why are they closing now, Martha. 387 00:20:14,160 --> 00:20:18,800 Speaker 8: They're closing now because what the city said, and frankly, 388 00:20:19,280 --> 00:20:24,520 Speaker 8: what lots of other places are also seeing is a 389 00:20:24,640 --> 00:20:26,919 Speaker 8: huge skyrocking increase. 390 00:20:27,200 --> 00:20:28,800 Speaker 3: Now, you're not listening to me. 391 00:20:29,000 --> 00:20:32,200 Speaker 11: What they're telling us though, is that the wisest scientific 392 00:20:32,280 --> 00:20:35,000 Speaker 11: move is to have children in school. 393 00:20:34,880 --> 00:20:38,960 Speaker 8: Because that they're trying to figure out a regional, a 394 00:20:39,080 --> 00:20:43,280 Speaker 8: regional way of opening and closing like they did after they. 395 00:20:43,240 --> 00:20:45,520 Speaker 11: Don't need to close it in the middle, don't need 396 00:20:45,560 --> 00:20:47,719 Speaker 11: to close is the point marka that when you hit 397 00:20:47,760 --> 00:20:50,040 Speaker 11: that there. It as a measurement established by the teachers 398 00:20:50,160 --> 00:20:52,240 Speaker 11: Union over the summer in order to reach an agreement 399 00:20:52,280 --> 00:20:54,800 Speaker 11: to reopen in the first place, was a three percent threshold. 400 00:20:55,000 --> 00:20:57,960 Speaker 8: The mayor set the three percent threshold. What the teachers 401 00:20:58,040 --> 00:21:01,600 Speaker 8: Union did in New York City afterwards was to say, 402 00:21:01,680 --> 00:21:04,399 Speaker 8: these are the safeguards that we need, and this is 403 00:21:04,440 --> 00:21:05,440 Speaker 8: the testing. 404 00:21:05,080 --> 00:21:08,560 Speaker 11: We need, given that all of these experts and scientists 405 00:21:08,640 --> 00:21:11,680 Speaker 11: say that children are safer in school. It's worked across Europe, 406 00:21:11,720 --> 00:21:14,320 Speaker 11: it's worked across the UK. They never closed their schools 407 00:21:14,400 --> 00:21:17,080 Speaker 11: during their second spike, and now they're in recovery, they're 408 00:21:17,119 --> 00:21:19,720 Speaker 11: down ten percent and the kids are not missing out. 409 00:21:19,880 --> 00:21:23,960 Speaker 8: And what they did and what they did in Europe 410 00:21:24,040 --> 00:21:27,160 Speaker 8: and what they did in New Zealand is that they 411 00:21:27,320 --> 00:21:33,040 Speaker 8: had national leadership that closed that, that did mass that 412 00:21:33,320 --> 00:21:36,960 Speaker 8: actually closed the bars, that did some of those things. 413 00:21:37,680 --> 00:21:38,320 Speaker 7: The stimulus. 414 00:21:38,400 --> 00:21:40,399 Speaker 11: Yeah, given all that, they still say the kids are 415 00:21:40,400 --> 00:21:43,840 Speaker 11: safer and they're connected Martha, the numbers rising, But don't 416 00:21:44,000 --> 00:21:44,840 Speaker 11: they're safer in school? 417 00:21:45,320 --> 00:21:45,960 Speaker 2: Yeah? 418 00:21:46,119 --> 00:21:49,400 Speaker 3: I've re tweeted that with the note that I always 419 00:21:49,480 --> 00:21:53,040 Speaker 3: want to say is that it wasn't just school year 420 00:21:53,160 --> 00:21:55,919 Speaker 3: twenty twenty that she tried to keep schools closed. She 421 00:21:56,400 --> 00:21:59,120 Speaker 3: actually tried to keep schools closed for another school year 422 00:21:59,480 --> 00:22:02,840 Speaker 3: in twenty twenty one to twenty twenty two. In summer 423 00:22:03,000 --> 00:22:06,200 Speaker 3: of twenty one, she said, we will try to open 424 00:22:06,240 --> 00:22:11,400 Speaker 3: schools in September. Now, as everyone knows, schools were already 425 00:22:11,520 --> 00:22:15,879 Speaker 3: open in places not under Randy Wingarten's control. She was 426 00:22:15,920 --> 00:22:20,000 Speaker 3: the one literally blocking schools from opening. She rewrote CDC 427 00:22:20,160 --> 00:22:24,000 Speaker 3: policy so that schools couldn't open. They wanted to change 428 00:22:24,040 --> 00:22:27,560 Speaker 3: the distance from six feet to three feet, which is 429 00:22:27,600 --> 00:22:30,000 Speaker 3: all a bunch of nonsense. Six feet, three feet, two 430 00:22:30,040 --> 00:22:33,160 Speaker 3: feet one foot. It makes no difference at all, None 431 00:22:33,160 --> 00:22:35,359 Speaker 3: of it had any scientific basis, and we knew this 432 00:22:35,520 --> 00:22:39,040 Speaker 3: at that time already she was able to stop the 433 00:22:39,080 --> 00:22:42,280 Speaker 3: CDC from making that change, which at the time I noted, 434 00:22:42,800 --> 00:22:45,520 Speaker 3: you can't have even three feet of space in New 435 00:22:45,600 --> 00:22:49,399 Speaker 3: York City public schools, for example. So it was only 436 00:22:49,520 --> 00:22:54,480 Speaker 3: places that were that she was allowed to influence that 437 00:22:54,600 --> 00:22:57,160 Speaker 3: still had closed schools, and she was trying to keep 438 00:22:57,200 --> 00:23:00,600 Speaker 3: them closed for a second or really a third school year. 439 00:23:01,000 --> 00:23:02,359 Speaker 2: Yeah, and she did do that. 440 00:23:02,440 --> 00:23:04,879 Speaker 1: They all did this dishonest dance where they're like, oh, 441 00:23:05,760 --> 00:23:09,080 Speaker 1: they would often, you know, perfunctorily say it is my 442 00:23:09,119 --> 00:23:14,719 Speaker 1: heart's desire to have schools open, obviously, but also, screens 443 00:23:14,760 --> 00:23:18,240 Speaker 1: are fine, your kids are doing fine, everything's good. We 444 00:23:18,400 --> 00:23:20,840 Speaker 1: just need a boatload more money and a bunch of 445 00:23:20,880 --> 00:23:23,320 Speaker 1: precautions that you won't possibly able to be able to 446 00:23:23,400 --> 00:23:26,960 Speaker 1: take within this timeframe, and then we'll totally go back. 447 00:23:27,160 --> 00:23:30,160 Speaker 1: And then in places like where I live, they got 448 00:23:30,280 --> 00:23:35,120 Speaker 1: basically everything they wanted, and they still did not go 449 00:23:35,200 --> 00:23:38,960 Speaker 1: back to school because the union heads were like, ah, 450 00:23:39,080 --> 00:23:39,840 Speaker 1: not enough. 451 00:23:39,800 --> 00:23:40,520 Speaker 2: Still need more. 452 00:23:40,680 --> 00:23:42,560 Speaker 3: Yeah, And then it was like, okay, but now we're 453 00:23:42,560 --> 00:23:45,639 Speaker 3: gonna we're gonna need vaccines. You know, we can't go 454 00:23:45,680 --> 00:23:47,960 Speaker 3: back until there's vaccines, and then there were vaccines, and 455 00:23:48,040 --> 00:23:50,040 Speaker 3: they were still like, but the kids don't have vaccines, 456 00:23:50,080 --> 00:23:50,720 Speaker 3: so they. 457 00:23:50,600 --> 00:23:52,200 Speaker 2: Were like the vaccines were too quick. 458 00:23:52,359 --> 00:23:52,560 Speaker 3: Yeah. 459 00:23:54,600 --> 00:23:58,280 Speaker 1: No, it's it's mind boggling to watch these people argue this. 460 00:23:58,480 --> 00:24:01,280 Speaker 1: And I just always want to mind people that the 461 00:24:01,320 --> 00:24:04,560 Speaker 1: folks who are complaining the hardest about the Department of Education, 462 00:24:04,640 --> 00:24:08,160 Speaker 1: which does not educate students and largely does not even 463 00:24:08,280 --> 00:24:12,720 Speaker 1: fund educating students being closed, are the same people who 464 00:24:12,720 --> 00:24:15,840 Speaker 1: were happy for millions of students to be out of 465 00:24:15,880 --> 00:24:17,680 Speaker 1: school for eighteen months. 466 00:24:17,960 --> 00:24:20,960 Speaker 3: Yeah, that's it. They didn't care. Then they want to 467 00:24:20,960 --> 00:24:23,639 Speaker 3: pretend that they care now. I don't believe them. I 468 00:24:23,680 --> 00:24:25,400 Speaker 3: just don't believe them. There are a bunch of liars. 469 00:24:25,440 --> 00:24:28,120 Speaker 3: The fact that Randy Weingarten is trying to rewrite what 470 00:24:28,160 --> 00:24:30,399 Speaker 3: she did during the pandemic, You and I are never 471 00:24:30,440 --> 00:24:31,600 Speaker 3: going to let her do that now. 472 00:24:31,640 --> 00:24:33,960 Speaker 1: And I think Becky Pringle, by the way, who's the 473 00:24:34,000 --> 00:24:36,159 Speaker 1: head of the other major teachers unions, she was a 474 00:24:36,200 --> 00:24:38,640 Speaker 1: little bit more saying the quiet part out loud because 475 00:24:38,680 --> 00:24:41,520 Speaker 1: she said, like, what about all these jobs for my 476 00:24:41,680 --> 00:24:44,800 Speaker 1: union members that are getting cut? It's like, okay, see, 477 00:24:44,800 --> 00:24:47,280 Speaker 1: that should not be your first priority, or at least 478 00:24:47,280 --> 00:24:48,399 Speaker 1: you shouldn't tell people it is. 479 00:24:48,480 --> 00:24:49,960 Speaker 2: But parents have picked up on this. 480 00:24:50,640 --> 00:24:58,919 Speaker 3: Yeah, yeah, we'll be right back on normally our third story. MAGA, 481 00:24:59,000 --> 00:25:04,160 Speaker 3: Aligned Influence all posted very similar content over the weekend 482 00:25:04,400 --> 00:25:07,080 Speaker 3: arguing that Snap benefits and that's what they call food 483 00:25:07,080 --> 00:25:10,879 Speaker 3: stamps now, should extend to soda. There. You know, the 484 00:25:10,920 --> 00:25:15,480 Speaker 3: new MAHA movement Make America Healthy Again is trying to 485 00:25:15,480 --> 00:25:20,119 Speaker 3: get rid of the ability to purchase soda with your 486 00:25:20,240 --> 00:25:24,000 Speaker 3: food stamps. And you know, I'm kind of you know, 487 00:25:24,200 --> 00:25:25,960 Speaker 3: I'm going to be a very middle ground on this 488 00:25:26,040 --> 00:25:29,880 Speaker 3: whole story because I'm torn about the ability to use 489 00:25:29,880 --> 00:25:32,320 Speaker 3: Snap for soda. I actually don't drink soda, which is 490 00:25:32,680 --> 00:25:35,440 Speaker 3: I've got a lot of advices, but not that one. 491 00:25:35,960 --> 00:25:38,879 Speaker 3: I get it, it's empty calories. Why should you have 492 00:25:39,040 --> 00:25:41,080 Speaker 3: it subsidized for you by the government. But then I 493 00:25:41,119 --> 00:25:42,800 Speaker 3: just feel like there's so many other things, like should 494 00:25:42,800 --> 00:25:45,640 Speaker 3: they be able to buy Skittles, Like there's a lot 495 00:25:45,680 --> 00:25:49,720 Speaker 3: of other questions about what Snap benefits should be used for. 496 00:25:50,200 --> 00:25:52,120 Speaker 3: If you want to go the whole distance, I don't 497 00:25:52,119 --> 00:25:54,080 Speaker 3: think it should just be soda. I think it should 498 00:25:54,080 --> 00:25:58,120 Speaker 3: be like maybe you're only able to buy certain items 499 00:25:58,160 --> 00:25:59,960 Speaker 3: with it, but that's going to be just so difficult, 500 00:26:00,119 --> 00:26:02,160 Speaker 3: and I don't know that this is the right way 501 00:26:02,160 --> 00:26:06,280 Speaker 3: to go. Several of the influencers pointed out that Donald 502 00:26:06,280 --> 00:26:09,240 Speaker 3: Trump enjoys his diet coke. I occasionally you will have 503 00:26:09,280 --> 00:26:12,400 Speaker 3: a diet coke. I get it, Donald. Why should poor 504 00:26:12,440 --> 00:26:15,359 Speaker 3: people not get to And the fact that all of 505 00:26:15,359 --> 00:26:18,879 Speaker 3: these people are on the right is what's kind of 506 00:26:18,880 --> 00:26:23,280 Speaker 3: interesting about this story, because they're there to pressure Donald 507 00:26:23,320 --> 00:26:28,080 Speaker 3: Trump and his administration not to follow this idea. I 508 00:26:28,119 --> 00:26:30,199 Speaker 3: don't know. I'm sort of a mix on this. What 509 00:26:30,200 --> 00:26:30,680 Speaker 3: do you think? 510 00:26:31,000 --> 00:26:34,520 Speaker 1: Well, okay, I'm I apologize for being squishy, but I'm 511 00:26:34,520 --> 00:26:36,840 Speaker 1: sort of in the middle with you on the snap 512 00:26:36,880 --> 00:26:40,679 Speaker 1: benefits because it is I understand the logical argument. They're like, 513 00:26:40,920 --> 00:26:43,600 Speaker 1: should this just be for staples and should we not 514 00:26:44,320 --> 00:26:45,480 Speaker 1: have it for these kind of things? 515 00:26:45,480 --> 00:26:46,240 Speaker 2: And you use your own. 516 00:26:46,080 --> 00:26:48,199 Speaker 1: Money for that kind of shit, right, But then you 517 00:26:48,200 --> 00:26:50,280 Speaker 1: get into the question of yet, what are the categories 518 00:26:50,280 --> 00:26:51,720 Speaker 1: that are going to be cut? And then you get 519 00:26:51,720 --> 00:26:54,080 Speaker 1: a giant lobbying effort, as we're sort of seeing there 520 00:26:54,320 --> 00:26:55,320 Speaker 1: when anything tries. 521 00:26:55,080 --> 00:26:57,200 Speaker 2: To get cut. So let's put that aside. 522 00:26:57,240 --> 00:27:02,240 Speaker 1: I do think it's interesting to watch an independent reporter 523 00:27:02,359 --> 00:27:02,959 Speaker 1: uncover this. 524 00:27:03,119 --> 00:27:05,400 Speaker 2: By the way, it was a Nick sord Or wrote 525 00:27:05,400 --> 00:27:06,359 Speaker 2: out who spotted this. 526 00:27:07,119 --> 00:27:09,719 Speaker 1: I think one of the lessons is that you're not 527 00:27:09,760 --> 00:27:11,879 Speaker 1: going to get away with this stuff when you are 528 00:27:13,520 --> 00:27:18,360 Speaker 1: challenging a Trump or a DeSantis, people who other right 529 00:27:18,480 --> 00:27:20,720 Speaker 1: leaning folks are invested in. I think you're going to 530 00:27:20,760 --> 00:27:24,480 Speaker 1: get found out if you don't say what you're doing. 531 00:27:26,040 --> 00:27:29,400 Speaker 1: I don't really mind people saying these kind of things, 532 00:27:29,440 --> 00:27:32,639 Speaker 1: even if they're paid. If they say that's what they're doing, 533 00:27:32,840 --> 00:27:35,720 Speaker 1: that's right, right. There's a lot of squishiness or like 534 00:27:35,800 --> 00:27:38,800 Speaker 1: there's a lot of blurred lines in social media and 535 00:27:38,840 --> 00:27:42,119 Speaker 1: on Instagram and all these places about you know, endorsements 536 00:27:42,119 --> 00:27:45,480 Speaker 1: and sponsorship and like, as long as you're making clear 537 00:27:45,560 --> 00:27:48,560 Speaker 1: to me what you're doing, yeah, I'm fairly comfortable with it. 538 00:27:49,040 --> 00:27:51,640 Speaker 1: But be ready to be found out, I think right, 539 00:27:51,720 --> 00:27:52,000 Speaker 1: And I. 540 00:27:51,920 --> 00:27:56,960 Speaker 3: Think it's better to say I actually believe this already 541 00:27:57,400 --> 00:28:00,280 Speaker 3: and being paid to say this because I believe this. 542 00:28:01,359 --> 00:28:05,240 Speaker 3: I've been accused a number of different times in my 543 00:28:05,359 --> 00:28:08,080 Speaker 3: career being paid to say something. I have never once 544 00:28:08,280 --> 00:28:11,960 Speaker 3: taken a penny from anybody. But again, I am sympathetic 545 00:28:12,040 --> 00:28:15,400 Speaker 3: to these influencers because I do get paid to give 546 00:28:15,440 --> 00:28:18,679 Speaker 3: my opinion, So I am paid to tell you what 547 00:28:18,800 --> 00:28:21,879 Speaker 3: I think. I'm just not paid by the individual interests. 548 00:28:22,080 --> 00:28:25,040 Speaker 3: And I get that this is sort of the wild 549 00:28:25,119 --> 00:28:28,600 Speaker 3: West and they don't really know how it's supposed to go. 550 00:28:28,720 --> 00:28:31,600 Speaker 3: So I think that, you know, kind of going forward. 551 00:28:31,640 --> 00:28:34,480 Speaker 3: And I maybe I'm sympathetic because I followed a few 552 00:28:34,480 --> 00:28:37,960 Speaker 3: of these people, but I was also I have been 553 00:28:38,000 --> 00:28:40,920 Speaker 3: sympathetic in the past to people I don't agree with 554 00:28:41,160 --> 00:28:43,840 Speaker 3: that I felt, were they see this as a way 555 00:28:43,880 --> 00:28:46,880 Speaker 3: to make money saying what they already believe they were 556 00:28:46,680 --> 00:28:49,840 Speaker 3: already going to do, right, Yeah, So I get that argument. 557 00:28:49,880 --> 00:28:53,200 Speaker 3: I do, but it's just you have to kind of 558 00:28:53,200 --> 00:28:56,600 Speaker 3: look at it as you're blowing up your reputation. Yes 559 00:28:56,640 --> 00:28:59,600 Speaker 3: you might already believe it, but unless you disclose it, 560 00:28:59,720 --> 00:29:03,520 Speaker 3: you are just putting yourself in a jam. Christina Pshaw, 561 00:29:03,640 --> 00:29:08,240 Speaker 3: who works for Rond DeSantis and has had some very 562 00:29:08,240 --> 00:29:11,040 Speaker 3: interesting things to say about this is She tweeted, Here's 563 00:29:11,080 --> 00:29:14,320 Speaker 3: how I see it. Influencers are the new generation of advertisers. 564 00:29:14,360 --> 00:29:17,640 Speaker 3: Advertising It isn't unethical in itself, but it can be 565 00:29:17,680 --> 00:29:22,000 Speaker 3: done unethically. Influencers that promote products, and brands legally have 566 00:29:22,120 --> 00:29:25,520 Speaker 3: to disclose paid partnerships in their content, and that's you know, 567 00:29:25,600 --> 00:29:29,200 Speaker 3: she said, it's common on other apps like TikTok and Instagram, 568 00:29:29,360 --> 00:29:32,400 Speaker 3: but there's no such regulation for politics and policy, and 569 00:29:33,000 --> 00:29:34,760 Speaker 3: it might be tricky to regulate. So I think it 570 00:29:34,800 --> 00:29:37,080 Speaker 3: has to be kind of pressure from the audience to 571 00:29:37,120 --> 00:29:41,480 Speaker 3: say you can't do this without telling us you're doing this, 572 00:29:41,720 --> 00:29:43,640 Speaker 3: even if and again, I think it would be just 573 00:29:43,640 --> 00:29:47,520 Speaker 3: as strong to say I don't want to see government 574 00:29:48,720 --> 00:29:52,280 Speaker 3: cutting down, you know, or making policy where they for 575 00:29:52,360 --> 00:29:56,120 Speaker 3: what's better best for us. Now, of course, Maha was 576 00:29:56,560 --> 00:29:59,200 Speaker 3: instrumental in winning Trump this selection, so I think it's 577 00:29:59,240 --> 00:30:02,200 Speaker 3: kind of a tough to argue right now to say, oh, 578 00:30:02,280 --> 00:30:04,160 Speaker 3: I don't think the government should get involved in what's 579 00:30:04,240 --> 00:30:08,680 Speaker 3: healthy and not healthy, when literally that argument the government 580 00:30:08,720 --> 00:30:10,840 Speaker 3: should get involved in telling us what's healthy and not 581 00:30:10,920 --> 00:30:12,800 Speaker 3: healthy just one an election one. 582 00:30:13,040 --> 00:30:14,880 Speaker 2: Yeah, yeah, So I think you're right. 583 00:30:14,920 --> 00:30:17,760 Speaker 1: There is an interesting part of this that is the evolution, 584 00:30:18,800 --> 00:30:20,920 Speaker 1: and honestly, I'm sort of part of it. Right Like 585 00:30:21,040 --> 00:30:25,520 Speaker 1: when journalists Lee Fong was reporting that this happened in 586 00:30:25,520 --> 00:30:29,080 Speaker 1: the past where in New York then Mayor Michael Bloomberg 587 00:30:29,320 --> 00:30:32,400 Speaker 1: proposed size restrictions on sugary drinks, and the NAACP and 588 00:30:32,520 --> 00:30:36,440 Speaker 1: Hispanic Federation opposed the regulation without disclosing financial connections to 589 00:30:37,160 --> 00:30:41,600 Speaker 1: Coca Cola. The thing is back then that many years ago, 590 00:30:41,720 --> 00:30:43,160 Speaker 1: you could have had me for free. 591 00:30:42,920 --> 00:30:46,320 Speaker 2: For big soda. I was like, I love soda, it's great. 592 00:30:46,560 --> 00:30:47,880 Speaker 2: Stop restricting sizes. 593 00:30:48,680 --> 00:30:50,560 Speaker 3: No, I didn't even drink soda, and I still was 594 00:30:50,800 --> 00:30:53,520 Speaker 3: pro not restricting sizes because I thought, like, stay out 595 00:30:53,520 --> 00:30:55,720 Speaker 3: a big government. I still do. I still kind of 596 00:30:55,760 --> 00:30:58,840 Speaker 3: think that, I you know, but I understand that there's 597 00:30:58,880 --> 00:31:00,959 Speaker 3: a large segment of the pipeloe that doesn't agree made 598 00:31:00,960 --> 00:31:02,880 Speaker 3: thinks the government should be involved in it. And those 599 00:31:02,920 --> 00:31:04,280 Speaker 3: people just won an election. 600 00:31:04,760 --> 00:31:07,320 Speaker 1: Well, and I also like have been the person that 601 00:31:07,360 --> 00:31:11,200 Speaker 1: at least on my personal health decisions, has changed a 602 00:31:11,200 --> 00:31:14,240 Speaker 1: lot since then, Right, Soda can be really bad for you. 603 00:31:14,360 --> 00:31:16,320 Speaker 1: I love a coke every now and then. But I 604 00:31:16,320 --> 00:31:18,400 Speaker 1: did realize at one point that I had been dehydrated 605 00:31:18,400 --> 00:31:21,000 Speaker 1: most of my life because I was just like drinking 606 00:31:21,040 --> 00:31:21,680 Speaker 1: coke all the time. 607 00:31:21,760 --> 00:31:23,880 Speaker 3: That's all of us going from the nineties now, like 608 00:31:23,960 --> 00:31:25,680 Speaker 3: we just didn't drink any water ever. 609 00:31:26,360 --> 00:31:29,800 Speaker 1: So like if I as a personal liberty person who 610 00:31:29,840 --> 00:31:32,719 Speaker 1: still doesn't want a bunch of mucking around with sizes 611 00:31:32,760 --> 00:31:35,040 Speaker 1: and what people can buy at the convenience store. But 612 00:31:35,120 --> 00:31:39,240 Speaker 1: if I have changed to that degree, then there is 613 00:31:39,280 --> 00:31:41,680 Speaker 1: a large segment of the voting public who's very happy 614 00:31:41,720 --> 00:31:42,800 Speaker 1: for government to meddle. 615 00:31:43,080 --> 00:31:43,440 Speaker 3: Yes. 616 00:31:43,480 --> 00:31:47,240 Speaker 1: So I think that political consideration is a huge part 617 00:31:47,280 --> 00:31:48,280 Speaker 1: of this, right. 618 00:31:48,480 --> 00:31:50,720 Speaker 3: Last thing I'll say is that I also see this 619 00:31:50,840 --> 00:31:53,840 Speaker 3: as an opportunity and I think again, Christina Pshaw said 620 00:31:53,880 --> 00:31:56,640 Speaker 3: something along these lines. But it teaches you to be 621 00:31:56,720 --> 00:32:02,000 Speaker 3: more skeptical. Why are your favorite influencers arguing something is 622 00:32:02,040 --> 00:32:05,360 Speaker 3: somebody paying them? And I think that if you consume 623 00:32:05,600 --> 00:32:10,640 Speaker 3: Internet at high levels, you kind of start to realize 624 00:32:10,680 --> 00:32:13,080 Speaker 3: that there are people getting paid for their opinion to 625 00:32:13,120 --> 00:32:16,040 Speaker 3: say certain things. Maybe they believe it, maybe they don't. 626 00:32:16,320 --> 00:32:20,080 Speaker 3: But it teaches you to be kind of more aware 627 00:32:20,120 --> 00:32:24,200 Speaker 3: of this kind of thing and to again be discern 628 00:32:24,320 --> 00:32:27,720 Speaker 3: for yourself whether or not this is real or this 629 00:32:27,800 --> 00:32:29,160 Speaker 3: is paid for content. 630 00:32:29,840 --> 00:32:31,560 Speaker 1: Yeah, And this is one of the things I tell 631 00:32:32,480 --> 00:32:34,640 Speaker 1: when people ask me about media literacy, or I'll talk 632 00:32:34,680 --> 00:32:38,959 Speaker 1: to college students, and like, the hard and correct answer 633 00:32:39,040 --> 00:32:41,920 Speaker 1: is that it's your responsibility to understand what you're consuming 634 00:32:42,360 --> 00:32:46,520 Speaker 1: in media, and it's become very, very difficult, which is 635 00:32:46,560 --> 00:32:49,400 Speaker 1: why I think disclosure is helpful. It follows the same 636 00:32:50,200 --> 00:32:54,120 Speaker 1: ethical guidelines that like say, lawyers and journalists should follow, 637 00:32:54,240 --> 00:32:57,360 Speaker 1: although we see that journalists often don't disclose their conflicts 638 00:32:57,360 --> 00:33:00,560 Speaker 1: of interest, but it helps people understand what they're dealing with. 639 00:33:00,680 --> 00:33:04,120 Speaker 1: Just as you and I we disclose what our ideological 640 00:33:04,160 --> 00:33:07,200 Speaker 1: leanings are so that people can judge what they think 641 00:33:07,240 --> 00:33:08,920 Speaker 1: of our dissection of the facts. 642 00:33:09,080 --> 00:33:12,400 Speaker 3: Everyone has a bias, let's just be open about it. Yeah, 643 00:33:12,480 --> 00:33:15,160 Speaker 3: all right, Well, thanks for joining us on normally. Normally 644 00:33:15,240 --> 00:33:18,640 Speaker 3: airs Tuesdays and Thursdays, and you can subscribe anywhere you 645 00:33:18,720 --> 00:33:21,480 Speaker 3: get your podcasts. Get in touch with us at Normallythepod 646 00:33:21,480 --> 00:33:24,520 Speaker 3: at gmail dot com. Thanks for listening, and when things 647 00:33:24,560 --> 00:33:26,160 Speaker 3: get weird, act normally