1 00:00:07,680 --> 00:00:11,280 Speaker 1: Normally to show normal. It takes the women news gets weird. 2 00:00:11,360 --> 00:00:12,640 Speaker 1: I am Mary Katherine Ham. 3 00:00:12,680 --> 00:00:15,160 Speaker 2: And I'm Carol Markowitz. Are you wrapping up your time 4 00:00:15,160 --> 00:00:15,840 Speaker 2: at Hillsdale? 5 00:00:15,840 --> 00:00:16,479 Speaker 3: Mary Catherine? 6 00:00:16,560 --> 00:00:18,840 Speaker 1: I am. I'm going out to dinner one last time 7 00:00:18,920 --> 00:00:23,439 Speaker 1: tonight and uh teaching my last class today. And I 8 00:00:23,480 --> 00:00:26,160 Speaker 1: still have no tweed jackets with elbow patches, but I 9 00:00:26,280 --> 00:00:26,960 Speaker 1: will work on. 10 00:00:28,280 --> 00:00:28,520 Speaker 3: Yeah. 11 00:00:28,520 --> 00:00:30,680 Speaker 2: I think that you gotta get it when you get back. 12 00:00:30,520 --> 00:00:32,080 Speaker 3: To the coast. 13 00:00:32,120 --> 00:00:34,320 Speaker 1: They're ever going to invite me back again. I really need. 14 00:00:35,760 --> 00:00:40,120 Speaker 1: I was visited by Molly Hemingway came to my lecture. 15 00:00:40,360 --> 00:00:40,960 Speaker 3: Oh so nice. 16 00:00:41,479 --> 00:00:43,159 Speaker 1: That was really nice. And I had a line in 17 00:00:43,159 --> 00:00:45,960 Speaker 1: my speech, not knowing that she would be there, that 18 00:00:46,120 --> 00:00:48,640 Speaker 1: was a bit of a shout out to you and her, 19 00:00:49,000 --> 00:00:51,720 Speaker 1: because I said, it's important to surround yourself with people 20 00:00:51,760 --> 00:00:55,400 Speaker 1: who will test you on your beliefs and your outfuot choices. 21 00:00:55,440 --> 00:00:58,960 Speaker 1: And I happen to have a group of Mauthy broads 22 00:00:59,160 --> 00:01:02,440 Speaker 1: who are my friends, who will not let me give 23 00:01:02,480 --> 00:01:04,760 Speaker 1: me a pass on everything, and most of them have 24 00:01:04,800 --> 00:01:05,800 Speaker 1: been fellows here. 25 00:01:06,040 --> 00:01:08,720 Speaker 2: So yeah, maud abroad's for the wind. 26 00:01:09,280 --> 00:01:12,959 Speaker 1: It's important, all right, Let's. 27 00:01:12,640 --> 00:01:15,480 Speaker 3: Get into it. What is going on in the news. 28 00:01:15,520 --> 00:01:17,880 Speaker 2: You know, again, we're not talking you Ron in this 29 00:01:17,959 --> 00:01:22,399 Speaker 2: episode because things are just keep on keeping on. I 30 00:01:22,680 --> 00:01:26,040 Speaker 2: saw news that we're ahead of schedule, which not clear 31 00:01:26,120 --> 00:01:29,199 Speaker 2: what that means, but but glad to know we're ahead 32 00:01:29,200 --> 00:01:31,440 Speaker 2: of schedule, better than being behind schedule. 33 00:01:31,840 --> 00:01:34,440 Speaker 3: But we will update the normally. 34 00:01:34,120 --> 00:01:38,600 Speaker 2: Listeners when we hear of any breaking news or potential 35 00:01:38,640 --> 00:01:43,280 Speaker 2: news or stories developing there that are different from the 36 00:01:43,360 --> 00:01:43,880 Speaker 2: day to day. 37 00:01:44,520 --> 00:01:49,000 Speaker 1: Yeah. But meanwhile, on the home front, we have lots 38 00:01:49,360 --> 00:01:54,840 Speaker 1: and lots of fraud, Carol. I know that Vice President 39 00:01:54,920 --> 00:01:56,720 Speaker 1: Jade Vance has been put in charge of sort of 40 00:01:56,760 --> 00:02:02,440 Speaker 1: like an overarching fraud fraud busting project Frauds and the 41 00:02:02,480 --> 00:02:05,640 Speaker 1: frauds are and it seems like it's needed. I mean, I, 42 00:02:05,680 --> 00:02:10,040 Speaker 1: as somebody who's skeptical of what government does with our money, 43 00:02:10,080 --> 00:02:16,360 Speaker 1: even I think I didn't imagine the immense ridiculousness that 44 00:02:16,520 --> 00:02:20,639 Speaker 1: comes with, particularly in the Biden era, handing out millions 45 00:02:20,639 --> 00:02:27,000 Speaker 1: and billions and then but simultaneously cutting the verification for 46 00:02:27,080 --> 00:02:30,520 Speaker 1: these processes, and so you just end up with piles 47 00:02:30,560 --> 00:02:35,720 Speaker 1: of money going to utter nonsense. A couple examples from 48 00:02:36,000 --> 00:02:38,920 Speaker 1: just this week we have this is a Wall Street 49 00:02:38,960 --> 00:02:44,200 Speaker 1: journal piece about an information super highway to nowhere. It 50 00:02:44,280 --> 00:02:48,720 Speaker 1: was a a DC based saying where they go looking 51 00:02:48,760 --> 00:02:52,399 Speaker 1: for this money? They say they took They took two 52 00:02:52,400 --> 00:02:56,120 Speaker 1: hours looking from address to address because DC had asked 53 00:02:56,400 --> 00:02:59,680 Speaker 1: a government agency for four million dollars to connect fifty 54 00:02:59,720 --> 00:03:04,040 Speaker 1: five unserved locations. So a couple people get their boots 55 00:03:04,080 --> 00:03:06,200 Speaker 1: on and they go walking around look at these addresses, 56 00:03:06,240 --> 00:03:10,080 Speaker 1: and they find the unserved sites that DC wanted taxpayers 57 00:03:10,080 --> 00:03:12,440 Speaker 1: to subsidize for four million dollars. 58 00:03:12,520 --> 00:03:12,760 Speaker 3: Yep. 59 00:03:13,160 --> 00:03:16,160 Speaker 1: Among them were a shed along some train tracks, an 60 00:03:16,160 --> 00:03:21,240 Speaker 1: open field, a Catholic University fieldhouse, a Pepco utility facility 61 00:03:21,240 --> 00:03:25,840 Speaker 1: that's our power company in the area, construction trailer next 62 00:03:25,840 --> 00:03:29,920 Speaker 1: to visible fiber. And after they did this review, this 63 00:03:30,160 --> 00:03:34,720 Speaker 1: little group of lawmakers DC said, uh, okay, maybe actually 64 00:03:34,760 --> 00:03:36,960 Speaker 1: we had zero things that needed right. 65 00:03:37,720 --> 00:03:40,560 Speaker 2: Like yeah, shout out to Ted Cruz who get to 66 00:03:40,600 --> 00:03:43,840 Speaker 2: mention here. In twenty twenty three, he found dozens of 67 00:03:43,920 --> 00:03:48,280 Speaker 2: DC's supposedly unserved locations were inside the National Zoo. 68 00:03:49,600 --> 00:03:53,200 Speaker 1: So just amazing stuff. And this is Aril Ross wrote this. 69 00:03:53,360 --> 00:03:57,320 Speaker 1: She works for the National Telecommunications and Information Administration inside 70 00:03:57,600 --> 00:04:00,680 Speaker 1: the Department of Commerce, and they sniffed this out and 71 00:04:00,760 --> 00:04:03,840 Speaker 1: did the shoe leather work that sometimes reporters have been 72 00:04:03,840 --> 00:04:06,960 Speaker 1: known to do in the past, right in back in history, 73 00:04:07,720 --> 00:04:12,760 Speaker 1: not in this case. But that's just one story. We 74 00:04:12,840 --> 00:04:16,039 Speaker 1: have another one from the Wall Street Journal. Again, this 75 00:04:16,120 --> 00:04:19,160 Speaker 1: is about the Boom and autism therapy, and it's a 76 00:04:19,200 --> 00:04:22,000 Speaker 1: medicaid fraud. So listen to this. And I don't think 77 00:04:22,120 --> 00:04:24,880 Speaker 1: this one might not even technically qualify as fraud because 78 00:04:24,920 --> 00:04:27,600 Speaker 1: the perpetrator here is just openly saying this is what 79 00:04:27,640 --> 00:04:31,040 Speaker 1: I did. Here we go. When Megan Mitchell first launched 80 00:04:31,040 --> 00:04:33,800 Speaker 1: her autism therapy business in twenty nineteen, she took aim 81 00:04:33,839 --> 00:04:37,760 Speaker 1: at an unlikely source of profit, Indiana's tax payer funded 82 00:04:37,839 --> 00:04:41,279 Speaker 1: Medicaid program, the public insurance system for the poor. The 83 00:04:41,279 --> 00:04:43,720 Speaker 1: bet paid off in twenty twenty three. The state paid 84 00:04:43,720 --> 00:04:47,719 Speaker 1: Mitchell's company, piece by piece Autism Centers twenty nine million 85 00:04:47,839 --> 00:04:51,599 Speaker 1: to provide therapy to just eighty four parent patients, about 86 00:04:51,640 --> 00:04:54,560 Speaker 1: three hundred and forty thousand dollars a child. According to 87 00:04:54,560 --> 00:04:57,720 Speaker 1: a Wall Street Journal analysis, That amount surpassed what Indiana 88 00:04:57,839 --> 00:05:00,960 Speaker 1: Medicaid typically spends in a year treating a diagnosed one 89 00:05:01,040 --> 00:05:04,479 Speaker 1: cancer patient, or covering a year of nursing home care 90 00:05:05,200 --> 00:05:07,719 Speaker 1: piece by piece, became one of Medicaid's most expensive providers. 91 00:05:07,720 --> 00:05:09,800 Speaker 1: And she bought herself like three homes right. 92 00:05:10,480 --> 00:05:13,200 Speaker 2: Like, as she's buying these and they know, they point 93 00:05:13,200 --> 00:05:15,560 Speaker 2: out a two point five million dollar home in Florida 94 00:05:15,640 --> 00:05:18,480 Speaker 2: Santa Belle Island and six hundred thousand dollars waterfront house 95 00:05:18,480 --> 00:05:23,039 Speaker 2: on the typical New River, Indiana, Like, how is I 96 00:05:23,040 --> 00:05:25,560 Speaker 2: mean she must be aware she's committing fraud. 97 00:05:26,000 --> 00:05:27,920 Speaker 3: Well, she should make about it, right. 98 00:05:28,000 --> 00:05:30,240 Speaker 1: Well, she's like, I didn't break any of the rules. 99 00:05:30,279 --> 00:05:33,640 Speaker 1: And truly that might be the case, because what happened 100 00:05:33,920 --> 00:05:36,360 Speaker 1: is that in a lot of these programs, democrats insisted 101 00:05:36,400 --> 00:05:37,440 Speaker 1: there'd be no rules. 102 00:05:37,800 --> 00:05:40,160 Speaker 3: Right, She's just like the smartest person alive. 103 00:05:41,240 --> 00:05:45,159 Speaker 1: And it should be embarrassing because this money is taken 104 00:05:45,760 --> 00:05:49,960 Speaker 1: from families who probably have trouble getting their children treated 105 00:05:50,480 --> 00:05:53,200 Speaker 1: for the various things that they need their children treated for, 106 00:05:53,720 --> 00:05:56,320 Speaker 1: while this woman's making off with three hundred and forty 107 00:05:56,400 --> 00:05:57,760 Speaker 1: k per kid. 108 00:05:57,960 --> 00:06:01,559 Speaker 2: Right right. One of the common on the tweets about 109 00:06:01,560 --> 00:06:05,320 Speaker 2: it comes from a KK bird and she writes thirty 110 00:06:05,320 --> 00:06:08,240 Speaker 2: to forty hours a week of ABA therapy. No way, 111 00:06:08,360 --> 00:06:10,200 Speaker 2: my kid was lucky. If you sat for it was 112 00:06:10,240 --> 00:06:12,440 Speaker 2: approved for an hour or two a week. It's either 113 00:06:12,480 --> 00:06:16,960 Speaker 2: a fake therapy or babysitting scam. Absolute fraud. Yeah, it 114 00:06:17,160 --> 00:06:20,880 Speaker 2: sounds bra delicious, definitely. 115 00:06:22,080 --> 00:06:24,880 Speaker 1: Well, and like the problem is you hit a point 116 00:06:24,880 --> 00:06:27,200 Speaker 1: with this stuff. I was talking to a friend earlier 117 00:06:27,200 --> 00:06:30,400 Speaker 1: today about you know, the future of careers and AI 118 00:06:30,560 --> 00:06:32,839 Speaker 1: and economic issues and stuff, and she's like, you want 119 00:06:32,839 --> 00:06:35,120 Speaker 1: to touch back in a couple hours and like, brainstorm 120 00:06:35,200 --> 00:06:38,120 Speaker 1: some ways to do the fraud because it seems like 121 00:06:39,520 --> 00:06:43,760 Speaker 1: a lot of people are doing the fraud. And eventually 122 00:06:43,839 --> 00:06:47,640 Speaker 1: people do think, well, this whole process is so fraudulent, 123 00:06:48,000 --> 00:06:50,200 Speaker 1: why am I not getting my slice of this pop? 124 00:06:50,360 --> 00:06:51,000 Speaker 3: Absolutely? 125 00:06:51,320 --> 00:06:54,479 Speaker 2: Yeah. I can imagine the average taxpayer just being like, 126 00:06:54,839 --> 00:06:59,320 Speaker 2: I'm a sucker for working a normal job and paying 127 00:06:59,320 --> 00:07:04,120 Speaker 2: my taxes and not committing fraud. I think after the 128 00:07:04,160 --> 00:07:07,280 Speaker 2: Somali daycare fraud, I heard a lot of that on 129 00:07:07,320 --> 00:07:09,600 Speaker 2: the Internet where people were just like, am I the 130 00:07:09,680 --> 00:07:10,680 Speaker 2: last person working? 131 00:07:11,160 --> 00:07:14,040 Speaker 1: Mm hmm. It feels that way sometimes, or it feels like, 132 00:07:14,160 --> 00:07:16,760 Speaker 1: by the way, if you wanted to start your own 133 00:07:16,840 --> 00:07:21,040 Speaker 1: practice or medicaid Medicaid funded thing or your own practice 134 00:07:21,120 --> 00:07:23,240 Speaker 1: or something that worked outside of government. By the way, 135 00:07:23,240 --> 00:07:26,360 Speaker 1: without any subsidies. The state would give you such a 136 00:07:26,400 --> 00:07:28,880 Speaker 1: hard time, right, like she can't just help and start 137 00:07:28,920 --> 00:07:31,200 Speaker 1: a daycare. But it turns out it's real easy as 138 00:07:31,200 --> 00:07:34,240 Speaker 1: long as you don't follow any of the laws. CBS 139 00:07:34,280 --> 00:07:38,520 Speaker 1: is also doing some work out in California where they 140 00:07:38,560 --> 00:07:42,680 Speaker 1: found a hospice fraud in la. This is the reporter 141 00:07:43,240 --> 00:07:46,160 Speaker 1: there saying, at age sixty nine, len Iyani is a 142 00:07:46,200 --> 00:07:49,280 Speaker 1: pickleball whiz, zipping from dinks to drives energetically. When she 143 00:07:49,320 --> 00:07:51,440 Speaker 1: suffered an injury on the court two years ago, she 144 00:07:51,560 --> 00:07:54,640 Speaker 1: sought physical therapy and was surprised to learn her Medicare 145 00:07:54,720 --> 00:07:58,160 Speaker 1: insurance wouldn't cover it. She was, according to Medicare records, 146 00:07:58,320 --> 00:08:02,680 Speaker 1: dying and in hospice. Someone had taken her identity. It 147 00:08:02,720 --> 00:08:07,520 Speaker 1: was making money regularly off of this woman who's outliving 148 00:08:07,520 --> 00:08:12,000 Speaker 1: a life. We're paying double for this person. And by 149 00:08:12,000 --> 00:08:16,120 Speaker 1: the way, all the illegal immigration makes identity theft and 150 00:08:16,200 --> 00:08:18,640 Speaker 1: all of these things so much worse because the Left 151 00:08:18,680 --> 00:08:21,640 Speaker 1: doesn't want to deal with any of that crime, right either. 152 00:08:22,000 --> 00:08:25,400 Speaker 2: That's right, and this comes out of CBS News, and 153 00:08:25,480 --> 00:08:29,000 Speaker 2: it's it's interesting because would the old CBS pre Barrier 154 00:08:29,040 --> 00:08:32,640 Speaker 2: wise had done anything like this. Obviously, this fraud is 155 00:08:32,679 --> 00:08:36,720 Speaker 2: being committed in California. I think they would be protecting 156 00:08:36,760 --> 00:08:41,280 Speaker 2: Gavin Newsome and not reporting on this, so bind changes 157 00:08:41,360 --> 00:08:42,520 Speaker 2: come me too. 158 00:08:42,559 --> 00:08:47,120 Speaker 1: And in general, reporters think that government money is government money. 159 00:08:47,120 --> 00:08:49,400 Speaker 1: They do a lot of left leaning reporters do not 160 00:08:49,440 --> 00:08:52,040 Speaker 1: recognize it as your money, right, so they're just like, 161 00:08:52,320 --> 00:08:54,400 Speaker 1: who really cares? Who needs to check on this? I 162 00:08:54,400 --> 00:08:57,839 Speaker 1: would note that they found eighty nine hospice companies were 163 00:08:57,880 --> 00:09:01,440 Speaker 1: registered to a single building and Van Nuys. You can't 164 00:09:01,640 --> 00:09:05,440 Speaker 1: have hospice services for eighty nine people and van Nis. 165 00:09:05,480 --> 00:09:07,960 Speaker 1: And by the way, this is designed when they do 166 00:09:08,040 --> 00:09:13,320 Speaker 1: it for autism and hospice, those are vulnerable populations on purpose, 167 00:09:13,640 --> 00:09:15,480 Speaker 1: so that the people running off with this money and 168 00:09:15,520 --> 00:09:17,760 Speaker 1: the people facilitating them running off with this money can go. 169 00:09:18,040 --> 00:09:22,000 Speaker 1: How dare you come after the dying and the disabled children? 170 00:09:22,200 --> 00:09:25,480 Speaker 1: That's right, and that's what's happening, because that's not who 171 00:09:25,520 --> 00:09:26,160 Speaker 1: these people are. 172 00:09:27,080 --> 00:09:27,440 Speaker 3: Yeah. 173 00:09:27,480 --> 00:09:31,040 Speaker 2: Absolutely on the story. On the tweet from this story, 174 00:09:31,200 --> 00:09:35,360 Speaker 2: John Bachmann from Newsmax, Our friend John writes to the 175 00:09:35,440 --> 00:09:39,000 Speaker 2: California Governor and governor Press Office, accounting any comment. You're 176 00:09:39,080 --> 00:09:41,600 Speaker 2: so worried about our troops getting lobster and steak. You 177 00:09:41,640 --> 00:09:45,080 Speaker 2: embarrass yourself daily because there is a story right now 178 00:09:45,160 --> 00:09:48,160 Speaker 2: about the amount of money that our military spends on 179 00:09:48,320 --> 00:09:53,000 Speaker 2: things like lobster or steak for our military troops. 180 00:09:52,640 --> 00:09:55,559 Speaker 1: And it's like special occasion dinners for deployed. 181 00:09:56,000 --> 00:09:59,199 Speaker 2: I'm perfectly okay with that, and I don't see any 182 00:09:59,240 --> 00:10:03,240 Speaker 2: evidence of fraud there. I think that the idea that 183 00:10:03,280 --> 00:10:07,880 Speaker 2: we can't splurge on meals for our active duty member 184 00:10:08,160 --> 00:10:10,640 Speaker 2: military members is insanity. 185 00:10:11,000 --> 00:10:12,840 Speaker 1: Yeah, and by the way, it's worth pointing out that, 186 00:10:12,960 --> 00:10:16,200 Speaker 1: unlike in the Biden administration Christy Nome, at least one 187 00:10:16,240 --> 00:10:20,520 Speaker 1: person has been demoted slash disciplined in some way for 188 00:10:20,640 --> 00:10:24,439 Speaker 1: having misspent money. This happened in his first term too. 189 00:10:24,480 --> 00:10:28,560 Speaker 1: I believe a Zinke was out for doing similar in 190 00:10:28,640 --> 00:10:31,800 Speaker 1: another maybe a DHS guy at one point. I've always 191 00:10:31,800 --> 00:10:35,240 Speaker 1: appreciated that Trump can fire people. Biden's mistake was never 192 00:10:35,320 --> 00:10:40,600 Speaker 1: firing anyone for doing anything. And yet often the misspending 193 00:10:40,600 --> 00:10:45,000 Speaker 1: of money by actual officials is pales in comparison to 194 00:10:45,559 --> 00:10:47,760 Speaker 1: these massive fraud operations. 195 00:10:48,640 --> 00:10:52,720 Speaker 2: Yeah, you know, you said you were surprised. I feel 196 00:10:52,760 --> 00:10:57,120 Speaker 2: like Russian from Brooklyn. I'm not that surprised. In fact, 197 00:10:57,200 --> 00:11:00,000 Speaker 2: I'm always like, please know Russian names and these stories. 198 00:11:01,360 --> 00:11:03,880 Speaker 2: And by that I don't mean Russian from Russia, I 199 00:11:03,920 --> 00:11:07,600 Speaker 2: mean ex Soviets who live in America. But yeah, I 200 00:11:07,640 --> 00:11:12,520 Speaker 2: think that these broad scams have been so prevalent for 201 00:11:12,559 --> 00:11:15,400 Speaker 2: so long that really the story here is that they're 202 00:11:15,400 --> 00:11:18,600 Speaker 2: being uncovered and stopped now, and I'd love to see 203 00:11:18,600 --> 00:11:19,840 Speaker 2: that continue. 204 00:11:19,440 --> 00:11:21,319 Speaker 3: I really I had hope. 205 00:11:21,040 --> 00:11:23,560 Speaker 2: In DOGE and that kind of thing, and of course 206 00:11:24,040 --> 00:11:28,360 Speaker 2: government spending went up even despite DOGE, So now my 207 00:11:28,440 --> 00:11:30,319 Speaker 2: hope is broadbusting. 208 00:11:30,400 --> 00:11:32,439 Speaker 3: Really, that's the only thing we have left. 209 00:11:32,960 --> 00:11:37,360 Speaker 1: The Medicaid story comes from a data release from DOGE, 210 00:11:37,760 --> 00:11:42,040 Speaker 1: so that is just an issue of having enough enterprising 211 00:11:42,120 --> 00:11:45,240 Speaker 1: numbers people to go through the Medicaid info. So I 212 00:11:45,240 --> 00:11:47,360 Speaker 1: think we'll be seeing more from that. And it did 213 00:11:47,440 --> 00:11:50,040 Speaker 1: originate from DOGE. So getting to the bottom of this 214 00:11:50,080 --> 00:11:52,719 Speaker 1: stuff is sometimes a slow process, and it turns out 215 00:11:53,200 --> 00:11:54,920 Speaker 1: and maybe we should all be inspired to put on 216 00:11:54,960 --> 00:11:56,719 Speaker 1: our boots and walk around and be like, what is 217 00:11:56,760 --> 00:12:00,439 Speaker 1: this address again? That is getting all my money? 218 00:12:00,440 --> 00:12:00,960 Speaker 3: Oh man? 219 00:12:01,120 --> 00:12:04,360 Speaker 2: Yeah, you know, I would say just tell my Twitter 220 00:12:04,440 --> 00:12:07,000 Speaker 2: followers like what to do, and they'll they'll they'll go 221 00:12:07,080 --> 00:12:10,199 Speaker 2: do it because they are investigative reporters. 222 00:12:10,240 --> 00:12:11,960 Speaker 3: Those people. I have a story. 223 00:12:12,000 --> 00:12:13,800 Speaker 2: I may have told it on here before, but one 224 00:12:13,800 --> 00:12:15,960 Speaker 2: time I was in Texas and I didn't tell my 225 00:12:16,040 --> 00:12:18,480 Speaker 2: followers that I was in Texas and I posted a 226 00:12:18,480 --> 00:12:21,280 Speaker 2: tray of barbecue. Didn't say anything except I kind of 227 00:12:21,320 --> 00:12:26,040 Speaker 2: jokingly said, like Brooklyn Barbecue, Like somebody nailed not just 228 00:12:26,120 --> 00:12:28,920 Speaker 2: the barbecue place, but like the dish that I ordered, 229 00:12:29,000 --> 00:12:32,040 Speaker 2: it was. It was wild. Yeah. I was like, Okay, 230 00:12:32,160 --> 00:12:33,880 Speaker 2: I can't, I can't do this anymore. 231 00:12:34,720 --> 00:12:35,720 Speaker 1: Yeah, be careful. 232 00:12:36,960 --> 00:12:37,320 Speaker 3: Amazing. 233 00:12:37,320 --> 00:12:40,040 Speaker 1: Well, I'm glad you got some non Brooklyn barbecue. 234 00:12:40,120 --> 00:12:42,160 Speaker 3: Hey, Brooklyn barbecue is not bad. 235 00:12:42,720 --> 00:12:46,880 Speaker 1: Except for that one notorious picture, which was right, y'all 236 00:12:46,920 --> 00:12:49,000 Speaker 1: didn't say that's an old that's an old meme. 237 00:12:49,040 --> 00:12:52,400 Speaker 2: Basically inside Twitter joke. But Brooklyn Barbecue, if you happen 238 00:12:52,440 --> 00:12:55,000 Speaker 2: to be in Brooklyn and wanting some barbecue, hometown and 239 00:12:55,040 --> 00:12:55,720 Speaker 2: red Hook. 240 00:12:55,600 --> 00:12:57,960 Speaker 1: Is legit nice. Just by the way, can I just 241 00:12:58,000 --> 00:12:59,679 Speaker 1: wint out that I thought somebody had this genius idea 242 00:12:59,720 --> 00:13:01,000 Speaker 1: and I can't even tell you who it is right now, 243 00:13:01,000 --> 00:13:02,920 Speaker 1: but I'm going to say the genius idea. There's a 244 00:13:03,160 --> 00:13:05,560 Speaker 1: there's a two dudes who are running around New York 245 00:13:05,559 --> 00:13:10,040 Speaker 1: City alphabetically trying to have food from every single nation 246 00:13:10,120 --> 00:13:13,080 Speaker 1: on our own. That's cool and it's so fun. They 247 00:13:13,120 --> 00:13:15,480 Speaker 1: just go to these tiny little places. So I believe 248 00:13:15,480 --> 00:13:17,640 Speaker 1: in New York. I believe that New York can produce 249 00:13:18,679 --> 00:13:19,439 Speaker 1: Southern food. 250 00:13:21,559 --> 00:13:22,800 Speaker 3: But I'm glad you pointed. 251 00:13:22,559 --> 00:13:23,280 Speaker 1: Us to the right place. 252 00:13:24,720 --> 00:13:26,880 Speaker 2: All right, We're going to take a short break and 253 00:13:27,040 --> 00:13:34,120 Speaker 2: be right back with more normally. We are back on normally, 254 00:13:34,240 --> 00:13:39,080 Speaker 2: where CNN has been just painting itself in glory since 255 00:13:39,200 --> 00:13:43,040 Speaker 2: the attempted terrorist attack in New York City on Saturday. 256 00:13:43,679 --> 00:13:49,200 Speaker 2: We talked about various media outlets miscovering You know, I 257 00:13:49,240 --> 00:13:51,760 Speaker 2: can't even call it miscovering right because they weren't doing 258 00:13:51,760 --> 00:13:55,880 Speaker 2: it accidentally. This is on purpose covering the attack by 259 00:13:56,120 --> 00:14:01,880 Speaker 2: two young Muslim men on anti is Islam protesters. This 260 00:14:02,000 --> 00:14:06,000 Speaker 2: attack has now been portrayed as somehow on Zoram'm Donnie 261 00:14:06,440 --> 00:14:09,360 Speaker 2: the mayor of New York City and his wife, and 262 00:14:09,480 --> 00:14:12,480 Speaker 2: not on the people who would actually was targeted to 263 00:14:12,880 --> 00:14:16,839 Speaker 2: and not from these two young Muslim men who have 264 00:14:16,960 --> 00:14:23,400 Speaker 2: affinity for Isis. So yesterday on Tuesday, CNN tweeted a 265 00:14:23,440 --> 00:14:27,680 Speaker 2: story where this is how the tweet went Two Pennsylvania 266 00:14:27,720 --> 00:14:30,640 Speaker 2: teenagers crossed into New York City Saturday morning for what 267 00:14:30,680 --> 00:14:33,120 Speaker 2: could have been a normal day enjoying the city during 268 00:14:33,120 --> 00:14:36,240 Speaker 2: abnormally warm weather. But in less than an hour, their 269 00:14:36,280 --> 00:14:39,120 Speaker 2: lives would drastically change as the pair would be arrested 270 00:14:39,160 --> 00:14:43,160 Speaker 2: but throwing homemade bombs during an anti Muslim protest outside 271 00:14:43,160 --> 00:14:43,880 Speaker 2: of Mayor Zora. 272 00:14:44,040 --> 00:14:46,640 Speaker 3: Ma'm Donnie's home. Here's what we know so far. 273 00:14:47,080 --> 00:14:51,360 Speaker 2: I mean, it obfuscates what happened in such a deep 274 00:14:51,480 --> 00:14:53,200 Speaker 2: way that I go back to the. 275 00:14:53,160 --> 00:14:54,840 Speaker 3: Point I made on our show on. 276 00:14:54,800 --> 00:14:58,080 Speaker 2: Tuesday, which is, this is the kind of thing that 277 00:14:58,240 --> 00:15:03,280 Speaker 2: leads people to conspiracy theory. They see blaytant lies and 278 00:15:03,320 --> 00:15:07,520 Speaker 2: they start not to believe anything. And I understand that 279 00:15:07,600 --> 00:15:10,800 Speaker 2: this path, this is where it comes from, and CNN 280 00:15:10,880 --> 00:15:13,560 Speaker 2: really needs to be held accountable. However, of course they 281 00:15:13,600 --> 00:15:17,000 Speaker 2: won't be, and they haven't been, and lead us into 282 00:15:17,000 --> 00:15:19,600 Speaker 2: the Abbe Phillips story that relates what Mary. 283 00:15:19,440 --> 00:15:23,720 Speaker 1: Kathy Benson and I call this anti journalism. Like your 284 00:15:24,040 --> 00:15:27,080 Speaker 1: object here is to tell your audience the opposite of 285 00:15:27,120 --> 00:15:29,720 Speaker 1: what happened, because you don't like the thing that happened, 286 00:15:29,720 --> 00:15:33,200 Speaker 1: and Abby Phillip was engaged in that on her show 287 00:15:33,840 --> 00:15:35,920 Speaker 1: in uh the is it Primetime? 288 00:15:36,160 --> 00:15:36,640 Speaker 3: Last night? 289 00:15:37,080 --> 00:15:38,080 Speaker 1: Here's Abby Phillip. 290 00:15:39,480 --> 00:15:43,240 Speaker 4: Two Republicans say Muslims don't belong here after an attempted 291 00:15:43,320 --> 00:15:47,280 Speaker 4: terror attack against New York's Mayor zor On Mamdanie and 292 00:15:47,320 --> 00:15:51,040 Speaker 4: the House Speaker Mike Johnson says nothing really to condemn 293 00:15:51,120 --> 00:15:52,200 Speaker 4: those comments. 294 00:15:53,000 --> 00:15:58,400 Speaker 1: Okay, so yeah, man, number one focus is already Islamophobia, 295 00:15:58,480 --> 00:16:02,080 Speaker 1: right from Mumdannie and from Abby Phillip on the news. 296 00:16:02,080 --> 00:16:05,120 Speaker 1: So we've already turned where the story is over of 297 00:16:05,160 --> 00:16:07,600 Speaker 1: the actual homegrown terrorism. We're not going to address that. 298 00:16:07,600 --> 00:16:11,239 Speaker 1: We're going to dress help people react to the terrorism, 299 00:16:11,560 --> 00:16:13,680 Speaker 1: and the people that we don't like, we're going to 300 00:16:13,720 --> 00:16:16,360 Speaker 1: punish them for reacting in bad ways. But we're the 301 00:16:16,440 --> 00:16:18,800 Speaker 1: bomb throwing. There's sort of a side issue for her. 302 00:16:19,080 --> 00:16:23,520 Speaker 1: And then Mom Donnie's house is not the target. American 303 00:16:23,760 --> 00:16:29,320 Speaker 1: protesters saying that they don't like Islam were the target. 304 00:16:29,680 --> 00:16:33,360 Speaker 1: Now that speech is protected, and they weren't doing anything violent. 305 00:16:34,240 --> 00:16:36,480 Speaker 1: You may think they're being jerks, but they weren't doing 306 00:16:36,480 --> 00:16:40,880 Speaker 1: anything violent. Yeah, and this makes people watching that show 307 00:16:40,960 --> 00:16:44,880 Speaker 1: think the opposite of what happened happened. The proximity to 308 00:16:44,920 --> 00:16:49,600 Speaker 1: Gracie mansion is because the anti Islam protest was happening 309 00:16:49,680 --> 00:16:50,800 Speaker 1: outside Gracie Mansion. 310 00:16:51,160 --> 00:16:56,360 Speaker 2: Right, it's done on purpose to cover what happened. Abby 311 00:16:56,400 --> 00:17:01,640 Speaker 2: Philip took to Twitter today to apologize or what she said. 312 00:17:01,680 --> 00:17:04,240 Speaker 2: She says she read it off a teleprompter, but you know, 313 00:17:04,440 --> 00:17:07,679 Speaker 2: I mean you tweeted that. The fact that she didn't 314 00:17:07,720 --> 00:17:10,399 Speaker 2: notice it until the next day and issues a correction 315 00:17:10,520 --> 00:17:11,520 Speaker 2: online and not on. 316 00:17:11,440 --> 00:17:14,600 Speaker 3: Air, that's the whole ballgame to me, Like, is she. 317 00:17:14,640 --> 00:17:17,680 Speaker 2: Going to get on the air tonight and say I'm 318 00:17:17,720 --> 00:17:21,040 Speaker 2: sorry I made a mistake. But how did that kind 319 00:17:21,040 --> 00:17:23,679 Speaker 2: of mistake get made? How does that get into the teleprompter? 320 00:17:23,920 --> 00:17:26,080 Speaker 2: How do you just read that and not think it 321 00:17:26,119 --> 00:17:28,399 Speaker 2: over and not say this is not what happened. 322 00:17:28,440 --> 00:17:30,399 Speaker 3: How do you not come back and say that was 323 00:17:30,440 --> 00:17:33,359 Speaker 3: a mistake right away. Yes, it's all kind of a 324 00:17:33,359 --> 00:17:33,800 Speaker 3: big tell. 325 00:17:34,440 --> 00:17:37,239 Speaker 1: So yeah, I think that she is reading prompter. This 326 00:17:37,320 --> 00:17:41,200 Speaker 1: is a tease. It is not necessarily the anchor's job 327 00:17:41,280 --> 00:17:43,600 Speaker 1: to fact check every tease. But I would suggest if 328 00:17:43,600 --> 00:17:45,000 Speaker 1: the words are going to come out of your mouth, 329 00:17:45,040 --> 00:17:47,360 Speaker 1: you need to not ron Burgundy it and you need 330 00:17:47,400 --> 00:17:49,879 Speaker 1: to be aware of what's happening. The problem is that 331 00:17:49,920 --> 00:17:52,679 Speaker 1: at every step of the way, each person involved in 332 00:17:52,720 --> 00:17:55,680 Speaker 1: this process, writing the prompter, checking it, sending it to her, 333 00:17:55,800 --> 00:18:00,320 Speaker 1: her reading it. All of them have systematically missing fled 334 00:18:00,400 --> 00:18:04,480 Speaker 1: themselves right about what happened on this day. And the 335 00:18:04,520 --> 00:18:08,600 Speaker 1: fact that nobody in her circle during commercial break was like, dude, 336 00:18:09,160 --> 00:18:11,480 Speaker 1: do you know what you just said? Right? No one 337 00:18:11,480 --> 00:18:15,160 Speaker 1: did that. You know who did do that is Joe Borelli. Yeah, 338 00:18:15,200 --> 00:18:18,280 Speaker 1: the conservative sitting on set who has to correct her? 339 00:18:18,280 --> 00:18:20,720 Speaker 1: And I used to play this role at CNN a lot, 340 00:18:20,760 --> 00:18:23,399 Speaker 1: because everyone at the table agrees with each other and 341 00:18:23,560 --> 00:18:26,480 Speaker 1: doesn't know certain things, and so then you have to 342 00:18:26,520 --> 00:18:30,720 Speaker 1: be like, actually, on a Navarro, who is inverting this incident? 343 00:18:31,600 --> 00:18:35,159 Speaker 1: What happened is these guys were not attacking mom Donnie. 344 00:18:35,160 --> 00:18:37,600 Speaker 1: They were attacking these protesters. 345 00:18:37,880 --> 00:18:39,200 Speaker 3: Yeah. 346 00:18:39,480 --> 00:18:42,479 Speaker 2: An Navarro, by the way, seems super out of it 347 00:18:42,640 --> 00:18:45,000 Speaker 2: on this clip. I feel like, you're too nice to 348 00:18:45,040 --> 00:18:46,639 Speaker 2: say anything like this, but I'm just going to say it. 349 00:18:46,680 --> 00:18:47,719 Speaker 3: She seems a little drunk. 350 00:18:48,320 --> 00:18:53,520 Speaker 2: She's like slurring and yelling at Joe Borelli, and she's like, 351 00:18:53,600 --> 00:18:57,160 Speaker 2: I believe may mum Donnie was raised Muslim, Like it's 352 00:18:57,160 --> 00:19:02,719 Speaker 2: just all unrelated, and she's saying that Finally, Republicans are 353 00:19:02,760 --> 00:19:10,000 Speaker 2: talking about anti Islamic rhetoric because of this attack. Like again, ma'am, 354 00:19:10,720 --> 00:19:13,560 Speaker 2: it's the rhetoric is not the problem here. 355 00:19:13,640 --> 00:19:16,600 Speaker 3: The bombs being thrown are the problem here. 356 00:19:16,760 --> 00:19:20,440 Speaker 1: I really think the bombs are the problem. We should 357 00:19:20,440 --> 00:19:23,480 Speaker 1: also do a quick flashback of Abby Philip talking to 358 00:19:23,600 --> 00:19:26,639 Speaker 1: Joy Read about what she believes her role as a 359 00:19:26,680 --> 00:19:27,520 Speaker 1: newscaster is. 360 00:19:28,800 --> 00:19:32,640 Speaker 4: Conservatives are living in a completely different information world, absolutely 361 00:19:32,640 --> 00:19:37,960 Speaker 4: and liberals, and breaking that down needs to be done 362 00:19:38,320 --> 00:19:43,000 Speaker 4: because when you don't ever even hear the facts, it's 363 00:19:43,000 --> 00:19:46,000 Speaker 4: hard to even know that you're wrong. And that happens 364 00:19:46,040 --> 00:19:48,359 Speaker 4: a lot. I think that one time that that person 365 00:19:48,400 --> 00:19:50,600 Speaker 4: brings up something that is debunked and false and I 366 00:19:51,240 --> 00:19:54,200 Speaker 4: debunk it at the table might be the very first 367 00:19:54,240 --> 00:19:57,320 Speaker 4: time that someone out there has heard an alternative point 368 00:19:57,359 --> 00:19:57,720 Speaker 4: of view. 369 00:19:59,040 --> 00:20:01,680 Speaker 1: Yeah, it looks like she could all things opposite, because 370 00:20:01,680 --> 00:20:04,200 Speaker 1: what happened at that table is that Joe Borelli was 371 00:20:04,200 --> 00:20:07,359 Speaker 1: the one person debunking the thing and the rest of 372 00:20:07,359 --> 00:20:10,600 Speaker 1: them hadn't heard it right or we're just willfully lying. 373 00:20:10,720 --> 00:20:15,479 Speaker 2: Yeah, yeah, and again, whatever you think of conservative media, 374 00:20:16,040 --> 00:20:18,359 Speaker 2: we know what the liberals are saying. 375 00:20:18,640 --> 00:20:21,080 Speaker 3: We know they need yeah, right. 376 00:20:21,240 --> 00:20:24,840 Speaker 2: We are fully aware of what the other side believes. 377 00:20:24,880 --> 00:20:27,080 Speaker 3: We are fully aware of all their positions. 378 00:20:27,320 --> 00:20:29,880 Speaker 2: We take extra care to get the actual facts right 379 00:20:29,960 --> 00:20:33,080 Speaker 2: because if we get the fact wrong or completely dismissed, 380 00:20:33,200 --> 00:20:36,960 Speaker 2: it's just I mean again, liberal privilege like this just 381 00:20:37,040 --> 00:20:38,440 Speaker 2: doesn't exist on our side. 382 00:20:38,520 --> 00:20:42,399 Speaker 1: Well, even though there are people who are bad actors 383 00:20:42,400 --> 00:20:48,320 Speaker 1: on both sides, our ability or our incidental oh running 384 00:20:48,359 --> 00:20:52,119 Speaker 1: into liberal thought is just off the charts, Like it 385 00:20:52,160 --> 00:20:54,439 Speaker 1: happens all the time. It's the world that you live in. 386 00:20:54,480 --> 00:20:56,960 Speaker 1: If you're consuming news, you have to go out of 387 00:20:57,000 --> 00:21:00,800 Speaker 1: your way to get alternative viewpoints, not Abby Pillip's viewpoint. 388 00:21:00,840 --> 00:21:04,600 Speaker 1: That one is everywhere, so we just hear it all 389 00:21:04,680 --> 00:21:07,920 Speaker 1: the time. They do not. But she seems to think, 390 00:21:08,160 --> 00:21:11,240 Speaker 1: with this blind spot that she has on joy Reads show, 391 00:21:11,720 --> 00:21:15,240 Speaker 1: that she's the one who's the arbiter. I hope she 392 00:21:15,280 --> 00:21:19,080 Speaker 1: doesn't hon air apology. She may do a correction on this. 393 00:21:19,200 --> 00:21:20,639 Speaker 3: We'll what do you think she will? 394 00:21:22,400 --> 00:21:24,640 Speaker 2: Well, we'll talk about this on our next episode. 395 00:21:24,680 --> 00:21:25,320 Speaker 3: I'm going to go with no. 396 00:21:26,040 --> 00:21:34,159 Speaker 1: Yeah, you're gonna say no, Okay, I'll tak credibility on 397 00:21:34,200 --> 00:21:35,640 Speaker 1: the line here, right. 398 00:21:35,560 --> 00:21:37,480 Speaker 2: Right, And I hope you're right I hope she does, 399 00:21:37,600 --> 00:21:38,920 Speaker 2: because that's the right thing to do. 400 00:21:39,240 --> 00:21:41,400 Speaker 3: And I hope she does the right thing. 401 00:21:42,840 --> 00:21:44,879 Speaker 2: All right, We're going to take a short break and 402 00:21:45,000 --> 00:21:47,480 Speaker 2: come right back with Maura normally. 403 00:21:51,560 --> 00:21:53,440 Speaker 1: Alrighty, this is a bit of a now it can 404 00:21:53,480 --> 00:21:58,440 Speaker 1: be told right and definitely we're still mad bro about 405 00:21:58,800 --> 00:22:03,600 Speaker 1: too much technology in the classroom. The New York Times 406 00:22:03,720 --> 00:22:08,040 Speaker 1: did a feature iPads in kindergarten YouTube on breaks the 407 00:22:08,119 --> 00:22:12,200 Speaker 1: school screen time battle, and what you find out in 408 00:22:12,240 --> 00:22:15,320 Speaker 1: the article is that some places the battle has been lost. 409 00:22:16,000 --> 00:22:18,920 Speaker 1: The battle has been lost, and why are we surprised 410 00:22:18,920 --> 00:22:23,240 Speaker 1: by this? By the way, the entire education public education 411 00:22:23,720 --> 00:22:27,080 Speaker 1: system told you in twenty twenty to twenty twenty three 412 00:22:27,200 --> 00:22:30,879 Speaker 1: that it was not just something worth doing for survival, 413 00:22:30,960 --> 00:22:34,399 Speaker 1: but good for your kids to be online listening to 414 00:22:34,480 --> 00:22:37,000 Speaker 1: their teacher in a zoom for six to eight hours 415 00:22:37,040 --> 00:22:40,160 Speaker 1: a day. That's what they do. It was a lie, 416 00:22:40,359 --> 00:22:42,440 Speaker 1: and now we have this. This is an anecdote from 417 00:22:43,080 --> 00:22:46,600 Speaker 1: the story. A few months before her daughter started kindergarten, 418 00:22:46,600 --> 00:22:49,680 Speaker 1: Claire Benois saw a Facebook post that stunned her. Another 419 00:22:49,720 --> 00:22:53,000 Speaker 1: family with an incoming kindergartener was wondering if it was 420 00:22:53,080 --> 00:22:56,040 Speaker 1: true that children in the Croton Harmon School District, forty 421 00:22:56,040 --> 00:22:58,840 Speaker 1: miles north of New York City, receive iPads when they 422 00:22:58,840 --> 00:23:02,080 Speaker 1: start school. Their parents confirm that during school, kindergarteners often 423 00:23:02,160 --> 00:23:04,719 Speaker 1: use iPads to play games and watch television shows and 424 00:23:04,760 --> 00:23:08,320 Speaker 1: YouTube videos. School administrators assured her that I've had time 425 00:23:08,320 --> 00:23:10,720 Speaker 1: would be limited to fifteen minutes a day, but once 426 00:23:10,760 --> 00:23:13,520 Speaker 1: school started, her daughter suddenly knew jingles from the diaper 427 00:23:13,600 --> 00:23:16,639 Speaker 1: and car commercials that would play before YouTube videos she 428 00:23:16,760 --> 00:23:19,960 Speaker 1: saw in the classroom. Other parents talk about limiting their 429 00:23:19,960 --> 00:23:22,280 Speaker 1: screen time at home and working really hard to do it, 430 00:23:22,480 --> 00:23:24,920 Speaker 1: and then finding out their kids are on for hours 431 00:23:24,960 --> 00:23:26,040 Speaker 1: a day at school. 432 00:23:26,560 --> 00:23:28,280 Speaker 3: Yeah. Yeah, it's tough. 433 00:23:28,359 --> 00:23:31,679 Speaker 2: I remember during the pandemic where my kids suddenly knew commercials. 434 00:23:31,680 --> 00:23:34,199 Speaker 2: They'd be like, in this company, we believe, you know, 435 00:23:36,680 --> 00:23:38,680 Speaker 2: And they'd be like, we're a car company. 436 00:23:38,280 --> 00:23:39,639 Speaker 3: But we have values, you know. 437 00:23:39,840 --> 00:23:42,639 Speaker 1: Yeah, And you're like, where did you get that? Right? 438 00:23:44,200 --> 00:23:44,520 Speaker 3: Yeah? 439 00:23:44,720 --> 00:23:47,360 Speaker 2: That, you know. Every time I'm asked to talk about 440 00:23:48,240 --> 00:23:51,359 Speaker 2: cell phone bands and schools, I say, it's a good start, 441 00:23:51,560 --> 00:23:53,639 Speaker 2: because that's what it is. And the thing is that 442 00:23:53,760 --> 00:23:57,240 Speaker 2: I you know, in a perfect world, we would have 443 00:23:57,520 --> 00:24:00,760 Speaker 2: mechanisms by which we would limit screen in time use 444 00:24:00,840 --> 00:24:03,159 Speaker 2: and not just take it away like my sixteen year 445 00:24:03,200 --> 00:24:07,919 Speaker 2: old daughter school, her school head banned has banned cell phones. 446 00:24:08,200 --> 00:24:09,639 Speaker 2: She says that one of the things her and her 447 00:24:09,640 --> 00:24:11,840 Speaker 2: friends used to do is like snap a picture of 448 00:24:11,880 --> 00:24:14,240 Speaker 2: each other when they would see each other across campus, 449 00:24:14,480 --> 00:24:16,960 Speaker 2: and now they can't do that anymore. Little cute things 450 00:24:17,000 --> 00:24:19,720 Speaker 2: have been lost. And know, her and her friends are 451 00:24:19,720 --> 00:24:23,359 Speaker 2: not super screen time teenagers, so they just feel like 452 00:24:23,400 --> 00:24:27,399 Speaker 2: they've been punished because other people are playing video games 453 00:24:27,440 --> 00:24:30,960 Speaker 2: all through school. I get that, and it does suck. 454 00:24:31,080 --> 00:24:36,639 Speaker 2: But in lieu of having policies that are you know, 455 00:24:37,200 --> 00:24:40,080 Speaker 2: sane and limit you kind of have to take it 456 00:24:40,119 --> 00:24:42,600 Speaker 2: away completely. And what we have now is that they've 457 00:24:42,640 --> 00:24:46,280 Speaker 2: taken away the phones, but people in classes, the kids 458 00:24:46,359 --> 00:24:51,160 Speaker 2: are on laptops or tablets and they're playing games, they're 459 00:24:51,200 --> 00:24:56,080 Speaker 2: watching videos, they're having chats, they're fully having you know, 460 00:24:56,200 --> 00:25:00,760 Speaker 2: conversations with their friends on various chat programs. What have 461 00:25:00,880 --> 00:25:03,720 Speaker 2: we really accomplished by taking away the phones, Like now 462 00:25:03,760 --> 00:25:06,720 Speaker 2: the kids don't have access to it between classes, but 463 00:25:06,840 --> 00:25:09,800 Speaker 2: if they have screens in classes, it really doesn't do 464 00:25:09,880 --> 00:25:13,160 Speaker 2: that much to limit their actual screen time. I don't 465 00:25:13,280 --> 00:25:15,560 Speaker 2: know how we walk this back. I think you're right 466 00:25:15,600 --> 00:25:17,440 Speaker 2: that the battle has been lost. 467 00:25:17,320 --> 00:25:21,359 Speaker 1: And in some places for sure, but because part of 468 00:25:21,400 --> 00:25:23,919 Speaker 1: it is that, well, parents got sold a lie, and 469 00:25:23,960 --> 00:25:25,760 Speaker 1: then a lot of them during the pandemic kind of 470 00:25:25,800 --> 00:25:28,160 Speaker 1: had to lean on devices. They had to work at home. 471 00:25:28,240 --> 00:25:30,800 Speaker 1: And I get it, but you got to pull out 472 00:25:30,800 --> 00:25:35,639 Speaker 1: of the dive as a parent. They are sabotaging you 473 00:25:35,680 --> 00:25:37,560 Speaker 1: at school. You need to take that to your school board. 474 00:25:37,600 --> 00:25:40,240 Speaker 1: You need to make noise about this. And with your kids, 475 00:25:40,240 --> 00:25:41,879 Speaker 1: you need to say no to them. At home. You 476 00:25:41,920 --> 00:25:44,480 Speaker 1: need to say no to them. A lot of a 477 00:25:44,480 --> 00:25:46,320 Speaker 1: lot of parents are like, well it would be really 478 00:25:46,359 --> 00:25:49,399 Speaker 1: hard to say no. Yeah, but you have to. 479 00:25:50,560 --> 00:25:52,480 Speaker 3: It's really hard, Yeah. 480 00:25:52,200 --> 00:25:55,280 Speaker 1: Jonathan Hate said, even beyond the phone problem, as you 481 00:25:55,359 --> 00:25:58,879 Speaker 1: note that there was some charts showing that the drop 482 00:25:58,920 --> 00:26:02,359 Speaker 1: off and ability to read and have attention span for 483 00:26:02,400 --> 00:26:05,240 Speaker 1: a long TEX starts dropping as soon as ed tech 484 00:26:05,760 --> 00:26:09,080 Speaker 1: is introduced into the classroom. And I can understand for 485 00:26:09,119 --> 00:26:11,000 Speaker 1: a short time being like, this is the new tool. 486 00:26:11,040 --> 00:26:13,840 Speaker 1: We must use the new tool. Sure, but if the 487 00:26:13,880 --> 00:26:16,800 Speaker 1: new tool is making things worse, you need to abandon 488 00:26:17,040 --> 00:26:19,119 Speaker 1: the new tool and you need to go back to basics. 489 00:26:19,119 --> 00:26:21,440 Speaker 1: And I would just point out also my friend Karen Vates, 490 00:26:21,440 --> 00:26:26,640 Speaker 1: who covers literacy, notes that in places like Mississippi, Louisiana, Tennessee, 491 00:26:26,880 --> 00:26:30,760 Speaker 1: guess what they use in classes not at Yeah, they 492 00:26:30,880 --> 00:26:34,119 Speaker 1: use paper, they use full books. They are tech free 493 00:26:34,200 --> 00:26:37,520 Speaker 1: zones for teaching reading for the most part. And it 494 00:26:37,560 --> 00:26:40,000 Speaker 1: turns out that that's what makes your brain work. 495 00:26:40,520 --> 00:26:43,359 Speaker 2: Yeah, going back to basics is what it's all about. 496 00:26:43,400 --> 00:26:46,080 Speaker 2: And you know, there's also this thing on Twitter where 497 00:26:46,119 --> 00:26:48,440 Speaker 2: people are always like, oh, look what was taken from us? 498 00:26:48,520 --> 00:26:52,000 Speaker 2: And I got it into a conversation with Matt Walsh 499 00:26:52,000 --> 00:26:54,399 Speaker 2: the other day where he was saying, like, he posted 500 00:26:54,400 --> 00:26:56,679 Speaker 2: a picture of some kid riding his bike at like dusk, 501 00:26:57,000 --> 00:26:58,760 Speaker 2: and he's like, you know, this no longer exists. 502 00:26:58,760 --> 00:26:59,960 Speaker 3: And I was like, that could act? 503 00:27:00,040 --> 00:27:02,120 Speaker 2: Should we be my kid, like with the bad haircut 504 00:27:02,160 --> 00:27:04,760 Speaker 2: and all this is, this could be my child on 505 00:27:04,880 --> 00:27:05,920 Speaker 2: his bike at dusk? 506 00:27:06,040 --> 00:27:08,000 Speaker 3: I like, it does exist. It's outside my house. 507 00:27:08,320 --> 00:27:10,600 Speaker 2: And he commented back to me that while Okay, even 508 00:27:10,600 --> 00:27:12,960 Speaker 2: if you limit screen time in your house, the other 509 00:27:13,080 --> 00:27:16,760 Speaker 2: kids don't. Else just say, if you get your kids 510 00:27:16,840 --> 00:27:19,440 Speaker 2: outside and playing, other kids will join. 511 00:27:19,640 --> 00:27:21,840 Speaker 3: That's how it works. That's how it's always worked. 512 00:27:22,119 --> 00:27:24,600 Speaker 2: You go outside and you start playing, and other kids 513 00:27:24,600 --> 00:27:28,160 Speaker 2: see you and they start playing, and yeah, maybe they're more. 514 00:27:27,880 --> 00:27:29,560 Speaker 3: Screen time kids than they used to be. 515 00:27:29,640 --> 00:27:32,560 Speaker 2: My kid, you know, my younger son referred to one 516 00:27:32,640 --> 00:27:35,960 Speaker 2: of his friends as an indoor kid. That kid, that 517 00:27:36,040 --> 00:27:38,600 Speaker 2: kid's an indoor kid. But they've always been indoor kids. 518 00:27:38,640 --> 00:27:40,840 Speaker 2: They've always been indoor kids who didn't want to be 519 00:27:40,880 --> 00:27:43,080 Speaker 2: outside with the rest of the gang. I think that 520 00:27:43,760 --> 00:27:46,480 Speaker 2: you can make the changes in your own house and 521 00:27:46,520 --> 00:27:48,919 Speaker 2: you can watch it flourish in your neighborhood. 522 00:27:48,920 --> 00:27:50,360 Speaker 3: It's completely possible. 523 00:27:50,640 --> 00:27:53,240 Speaker 1: I agree, And I think the thing that many people 524 00:27:53,480 --> 00:27:55,880 Speaker 1: might be missing is that you have to be more 525 00:27:56,000 --> 00:27:58,200 Speaker 1: intentional about it than you were in the past. 526 00:27:58,320 --> 00:27:59,040 Speaker 3: You could, you. 527 00:27:58,920 --> 00:28:03,639 Speaker 1: Could count on the community to perhaps be passively. The 528 00:28:03,720 --> 00:28:06,520 Speaker 1: default is that everyone's outside and playing. Maybe that's not 529 00:28:06,600 --> 00:28:08,600 Speaker 1: the default now, And maybe your kids are the ones 530 00:28:08,600 --> 00:28:10,159 Speaker 1: who go out and play. This is what ours do. 531 00:28:10,520 --> 00:28:12,800 Speaker 1: They go out and play, and we limit the amount 532 00:28:12,800 --> 00:28:15,840 Speaker 1: of indoor time they get to do at other people's houses. 533 00:28:15,840 --> 00:28:17,920 Speaker 1: We're not just going to mooch snacks and screen time 534 00:28:17,960 --> 00:28:20,000 Speaker 1: elsewhere right right, what we're doing. 535 00:28:20,000 --> 00:28:22,399 Speaker 2: Sas Okay, they move, they can mooch the snacks, they 536 00:28:22,400 --> 00:28:23,320 Speaker 2: go to my neighbor's house. 537 00:28:23,320 --> 00:28:26,840 Speaker 1: They eat all the snacks, knock on the door say 538 00:28:27,080 --> 00:28:29,520 Speaker 1: can Johnny come out to play? And if Johnny doesn't 539 00:28:29,520 --> 00:28:30,760 Speaker 1: want to come it to play, you go to the 540 00:28:30,760 --> 00:28:33,159 Speaker 1: next house and find another kid. But it has I 541 00:28:33,240 --> 00:28:36,040 Speaker 1: have found that a lot of kids end up outside 542 00:28:36,400 --> 00:28:38,120 Speaker 1: when you have that as the. 543 00:28:38,160 --> 00:28:40,680 Speaker 2: Environment, right, be the leader, make it happen. 544 00:28:42,080 --> 00:28:43,560 Speaker 3: Thanks for joining us on Normally. 545 00:28:43,640 --> 00:28:46,720 Speaker 2: Normally airs Tuesdays and Thursdays, and you could subscribe anywhere 546 00:28:46,720 --> 00:28:49,000 Speaker 2: you get your podcasts. Get in touch with us at 547 00:28:49,040 --> 00:28:52,120 Speaker 2: normally theepod at gmail dot com. Thanks for listening and 548 00:28:52,160 --> 00:28:54,200 Speaker 2: when things get weird, act normally