1 00:00:00,760 --> 00:00:03,720 Speaker 1: Hey, guys, ready or not, twenty twenty four is here, 2 00:00:03,880 --> 00:00:06,320 Speaker 1: and we here at breaking points, are already thinking of 3 00:00:06,400 --> 00:00:08,600 Speaker 1: ways we can up our game for this critical election. 4 00:00:08,800 --> 00:00:11,719 Speaker 2: We rely on our premium subs to expand coverage, upgrade 5 00:00:11,760 --> 00:00:13,400 Speaker 2: the studio ad staff give. 6 00:00:13,280 --> 00:00:16,239 Speaker 3: You, guys, the best independent coverage that is possible. 7 00:00:16,280 --> 00:00:18,279 Speaker 2: If you like what we're all about, it just means 8 00:00:18,320 --> 00:00:20,880 Speaker 2: the absolute world to have your support. But enough with that, 9 00:00:21,000 --> 00:00:33,880 Speaker 2: let's get to the show. 10 00:00:36,479 --> 00:00:39,280 Speaker 1: So the one and only Cardi b main appearance on 11 00:00:39,560 --> 00:00:42,520 Speaker 1: big YouTube channel podcast hot Ones where they like eat 12 00:00:42,720 --> 00:00:45,760 Speaker 1: hot wings and talk about whatever they talk about, and 13 00:00:46,080 --> 00:00:51,720 Speaker 1: had some very surprising comments on a favorite historical figure, FDR. 14 00:00:51,880 --> 00:00:55,720 Speaker 4: Take a listen what stays in my mind for a 15 00:00:55,720 --> 00:01:00,440 Speaker 4: long time. As there I went to FDR's house. Anybody 16 00:01:00,440 --> 00:01:04,640 Speaker 4: loves me, know me? I love FDR. FDR yes, And 17 00:01:04,680 --> 00:01:08,440 Speaker 4: I love Eleanor Roosevelt. And you know how he got 18 00:01:08,520 --> 00:01:10,000 Speaker 4: us through the Great Depression. 19 00:01:11,200 --> 00:01:12,000 Speaker 3: With a war. 20 00:01:13,640 --> 00:01:16,720 Speaker 4: Only president, the guy like the four time while he's 21 00:01:16,720 --> 00:01:19,800 Speaker 4: in a wheelchair. As I grew up reading a lot 22 00:01:19,800 --> 00:01:24,200 Speaker 4: about Elinor Roosevelt, she had a very sad life, and 23 00:01:24,360 --> 00:01:28,280 Speaker 4: like when I went to her her house, well, she 24 00:01:28,280 --> 00:01:30,920 Speaker 4: she had different houses from her from her husband, because 25 00:01:31,120 --> 00:01:34,960 Speaker 4: you know, FDR Mama, she was always around like and 26 00:01:35,040 --> 00:01:37,559 Speaker 4: she ain't really liked that like Eleanor wanted her space, 27 00:01:37,760 --> 00:01:39,280 Speaker 4: just like me, I want my own space all the time. 28 00:01:40,160 --> 00:01:44,520 Speaker 4: I saw the room where Churchill and FDR was talking 29 00:01:44,560 --> 00:01:49,480 Speaker 4: about the nuke. That is crazy to me, like like 30 00:01:49,680 --> 00:01:52,480 Speaker 4: I'm really here, Like I like, I don't know why 31 00:01:52,640 --> 00:01:59,840 Speaker 4: I'm obsessed with war. Yes, I'm obsessed with World War two, 32 00:02:00,160 --> 00:02:01,680 Speaker 4: like I love War War one, like you know, I 33 00:02:01,840 --> 00:02:03,440 Speaker 4: like reading about that, but World War Two, like I'm 34 00:02:03,480 --> 00:02:06,280 Speaker 4: obsessed with just learning everything about it. So for me 35 00:02:06,480 --> 00:02:09,600 Speaker 4: to be in the same room that you're too and 36 00:02:09,919 --> 00:02:12,360 Speaker 4: FDR was discussing. 37 00:02:12,160 --> 00:02:13,440 Speaker 3: The nuke is like. 38 00:02:15,240 --> 00:02:16,760 Speaker 4: It was just such a moment for me. 39 00:02:16,880 --> 00:02:20,200 Speaker 5: Like, so I already loved Cardi B. 40 00:02:21,280 --> 00:02:24,680 Speaker 6: I remember, don't forget about that she endors Bernie. 41 00:02:24,840 --> 00:02:26,720 Speaker 3: Yes, but she is also bitching about income tax. 42 00:02:26,800 --> 00:02:28,959 Speaker 6: I remember that is true, that was these points. 43 00:02:28,800 --> 00:02:32,600 Speaker 2: Range Republicans at the time. World is right, keep your money. 44 00:02:33,919 --> 00:02:35,760 Speaker 1: I sides that from my mind. I'm just going to 45 00:02:35,800 --> 00:02:38,400 Speaker 1: pretend that didn't happen because I love Cardi B. I'm 46 00:02:38,400 --> 00:02:40,480 Speaker 1: actually I like her music. I'm just like a fan 47 00:02:40,520 --> 00:02:42,600 Speaker 1: of her in general saga as a history a buff 48 00:02:42,600 --> 00:02:43,440 Speaker 1: What did you make of face. 49 00:02:43,320 --> 00:02:45,680 Speaker 3: Comment, Well, I hate to break everybody's bubble. 50 00:02:45,840 --> 00:02:49,040 Speaker 2: That's basically regurgitating the Hyde Park tour word for word, 51 00:02:49,120 --> 00:02:49,680 Speaker 2: and that's fine. 52 00:02:49,720 --> 00:02:51,240 Speaker 3: It sounds like she was very struck, but. 53 00:02:51,240 --> 00:02:53,880 Speaker 1: She was into the question that she was. Yeah, the 54 00:02:53,960 --> 00:02:55,760 Speaker 1: question she was asked wasn't even about after. It was 55 00:02:55,760 --> 00:02:58,000 Speaker 1: like her getting a cheese sandwich with Dave Letterman or whatever. 56 00:02:58,040 --> 00:03:00,280 Speaker 1: And she was like, Oh, that wasn't the thing. This 57 00:03:00,480 --> 00:03:02,200 Speaker 1: was the thing the thing. 58 00:03:02,240 --> 00:03:02,960 Speaker 3: For those were wondering. 59 00:03:03,000 --> 00:03:06,040 Speaker 2: She was talking about the Manhattan Projects, the development of 60 00:03:06,320 --> 00:03:07,200 Speaker 2: the nuclear weapon. 61 00:03:07,240 --> 00:03:08,720 Speaker 3: Eleanor Roosevelt. It's true. 62 00:03:09,000 --> 00:03:13,280 Speaker 2: Sarah Roosevelt, who is FDR's mother, is like the quintessential 63 00:03:13,600 --> 00:03:17,320 Speaker 2: helicopter mother. Because what happened is is that FDR's father 64 00:03:17,520 --> 00:03:20,639 Speaker 2: was much much older than Sarah Roosevelt. I think he 65 00:03:20,680 --> 00:03:22,359 Speaker 2: married her when she was like twenty or something and 66 00:03:22,400 --> 00:03:23,760 Speaker 2: he was like fifty, So it was like a pretty 67 00:03:23,760 --> 00:03:26,960 Speaker 2: significant difference. The issue was that she got pregnant Franklin, 68 00:03:27,480 --> 00:03:30,040 Speaker 2: and then the father got sick, and so because she 69 00:03:30,080 --> 00:03:31,800 Speaker 2: was so young and they were alone, they were on 70 00:03:31,840 --> 00:03:34,760 Speaker 2: this vast estate, you know, by themselves, they kind of 71 00:03:34,760 --> 00:03:37,280 Speaker 2: made it a game about hiding how their father was sick, 72 00:03:37,320 --> 00:03:39,360 Speaker 2: and the two of them they were more like siblings 73 00:03:39,400 --> 00:03:44,400 Speaker 2: than like daughter, sorry, like mothered son relationship, which is 74 00:03:44,440 --> 00:03:48,680 Speaker 2: a problem because Franklin, you know, marries Eleanor Roosevelt, even 75 00:03:48,720 --> 00:03:50,800 Speaker 2: though at the protest of his mother's His mother wasn't 76 00:03:50,880 --> 00:03:52,840 Speaker 2: like her from the get go. She was ugly, and 77 00:03:52,920 --> 00:03:55,720 Speaker 2: they were you know, fifth cousins or whatever, and there 78 00:03:55,800 --> 00:03:58,120 Speaker 2: was like a rivalry there for his attention and control 79 00:03:58,160 --> 00:03:58,760 Speaker 2: over his life. 80 00:03:58,800 --> 00:04:02,120 Speaker 1: And Eleanor never felt like she was viewed as adequate 81 00:04:02,600 --> 00:04:03,120 Speaker 1: by his. 82 00:04:03,160 --> 00:04:05,960 Speaker 3: Mom and always treated her very badly. 83 00:04:06,040 --> 00:04:09,040 Speaker 1: It was always tense and uncomfortable, et cetera. 84 00:04:09,160 --> 00:04:10,000 Speaker 3: It's an interesting industry. 85 00:04:10,000 --> 00:04:10,160 Speaker 5: You know. 86 00:04:10,160 --> 00:04:12,080 Speaker 2: Ellen was very devoted to him for a while, but 87 00:04:12,080 --> 00:04:13,680 Speaker 2: then she find out that he was cheating on her, 88 00:04:13,760 --> 00:04:15,560 Speaker 2: and then you obviously they didn't agree in divorce, and 89 00:04:15,600 --> 00:04:17,400 Speaker 2: they kind of went their separate ways. By the time 90 00:04:17,400 --> 00:04:19,520 Speaker 2: they had adult children, and by the time they were 91 00:04:19,520 --> 00:04:21,159 Speaker 2: in the White House, they had mostly reconciled. 92 00:04:21,200 --> 00:04:24,120 Speaker 1: Actually, yeah, I mean, and she was quite extraordinary in 93 00:04:24,160 --> 00:04:26,960 Speaker 1: her own right and very like spoken in the day, 94 00:04:27,080 --> 00:04:30,200 Speaker 1: and actually she was very she was kind of more 95 00:04:30,200 --> 00:04:32,720 Speaker 1: of an isolationist there was some tension between them in 96 00:04:32,800 --> 00:04:36,720 Speaker 1: terms of his desire to enter World War two. So 97 00:04:36,800 --> 00:04:40,200 Speaker 1: she had her own views and her own like political 98 00:04:40,240 --> 00:04:43,000 Speaker 1: contacts and her own political life. So I can see 99 00:04:43,000 --> 00:04:47,559 Speaker 1: why Cardi b as very strong, indepenant woman. Yes, sees 100 00:04:47,600 --> 00:04:49,719 Speaker 1: her as an inspiration because I think she you know, 101 00:04:49,800 --> 00:04:52,000 Speaker 1: she is an inspiration. She was an inspiration to a 102 00:04:52,000 --> 00:04:53,080 Speaker 1: lot of women, a lot of marriage. 103 00:04:53,120 --> 00:04:55,480 Speaker 3: She was an og independent woman. Actually, she was very 104 00:04:55,480 --> 00:04:56,200 Speaker 3: politically active. 105 00:04:56,320 --> 00:04:58,840 Speaker 5: She had her own college. 106 00:04:58,000 --> 00:04:59,520 Speaker 3: Columns that she's to right in. 107 00:04:59,600 --> 00:05:02,640 Speaker 2: She actually the most influenced, probably the most influential first 108 00:05:02,720 --> 00:05:06,800 Speaker 2: lady of her time, because she was massively influential in 109 00:05:06,880 --> 00:05:09,680 Speaker 2: the New Deal and in getting a blanket on the name. 110 00:05:09,720 --> 00:05:11,960 Speaker 2: I think it's Francis Perkins, who was the first female 111 00:05:12,040 --> 00:05:15,599 Speaker 2: Labor secretary, that's right, getting her too appointed, and the 112 00:05:15,640 --> 00:05:17,800 Speaker 2: two of them teamed up to do a lot of 113 00:05:17,839 --> 00:05:20,640 Speaker 2: work on the National Youth Administration. They made it a 114 00:05:20,680 --> 00:05:23,160 Speaker 2: big project of THEIRS during the New Deal to like 115 00:05:23,279 --> 00:05:27,960 Speaker 2: save a lot of like youth who were suffering under 116 00:05:28,400 --> 00:05:29,120 Speaker 2: the Great Depression. 117 00:05:29,160 --> 00:05:30,120 Speaker 3: So, yeah, she was an interesting way. 118 00:05:30,400 --> 00:05:32,560 Speaker 1: FTR really relied on her to be kind of his 119 00:05:32,680 --> 00:05:35,160 Speaker 1: eyes and ears when he and go places he couldn't 120 00:05:35,200 --> 00:05:37,800 Speaker 1: go like go into factories and see the working conditions 121 00:05:37,800 --> 00:05:40,520 Speaker 1: and report back to him. And you know, she maintained 122 00:05:40,520 --> 00:05:42,840 Speaker 1: a lot of contacts and like you know, the anti 123 00:05:42,920 --> 00:05:46,560 Speaker 1: war movements and civil rights movements, and so she was 124 00:05:46,640 --> 00:05:49,440 Speaker 1: more connected, had more of her finger on the pulse 125 00:05:49,960 --> 00:05:52,760 Speaker 1: of the grassroots and the overall population. So then, yeah, 126 00:05:52,760 --> 00:05:55,120 Speaker 1: she ends up being influential in terms of the crafting 127 00:05:55,160 --> 00:05:55,560 Speaker 1: of the New. 128 00:05:55,480 --> 00:05:57,359 Speaker 3: Deal, and not only the un She did a lot 129 00:05:57,360 --> 00:06:00,800 Speaker 3: of so anyway, yeah, forever, Yeah, so anyway, I'm blank 130 00:06:00,839 --> 00:06:01,000 Speaker 3: on it. 131 00:06:01,040 --> 00:06:03,600 Speaker 2: I think it's called The Roosevelts. I think it's from Uh, 132 00:06:03,720 --> 00:06:06,200 Speaker 2: it's either Ken, it's from PBS. It's like ten episodes, 133 00:06:06,360 --> 00:06:09,520 Speaker 2: Darren watch it. It's tea. 134 00:06:09,600 --> 00:06:11,960 Speaker 3: It's a phenomenal series, like yeah, ten hours or so. 135 00:06:12,000 --> 00:06:13,880 Speaker 1: But I love to say it's cool to see, you know, 136 00:06:14,000 --> 00:06:18,160 Speaker 1: a cultural icon like Cardi b obviously defying a lot 137 00:06:18,200 --> 00:06:20,799 Speaker 1: of expectations for what she would want to talk about 138 00:06:20,800 --> 00:06:22,720 Speaker 1: in this interview, and she's like, you know, no, I 139 00:06:22,760 --> 00:06:24,719 Speaker 1: don't want to tell you about Dave Letterman's cheese sandwich. 140 00:06:24,760 --> 00:06:26,680 Speaker 1: I want to tell you about this historical thing that's 141 00:06:26,680 --> 00:06:27,320 Speaker 1: really captured me. 142 00:06:27,440 --> 00:06:28,880 Speaker 3: ARDIV, come on the show. Let's talk about it. 143 00:06:28,920 --> 00:06:29,400 Speaker 6: Oh my god, I. 144 00:06:29,360 --> 00:06:31,160 Speaker 1: Would love that we can talk about taxes too. 145 00:06:31,600 --> 00:06:31,840 Speaker 3: Sure. 146 00:06:34,680 --> 00:06:38,240 Speaker 1: Washington Posts had a report on a really troubling epidemic 147 00:06:38,440 --> 00:06:41,680 Speaker 1: that is really hurting young teenage boys. Put this up 148 00:06:41,680 --> 00:06:44,560 Speaker 1: on the screen from the Washington Post. The headline here 149 00:06:44,760 --> 00:06:47,120 Speaker 1: is I don't know what to do. Thousands of teen 150 00:06:47,160 --> 00:06:51,679 Speaker 1: boys are being extorted in sexting scams, an unprecedented number 151 00:06:51,680 --> 00:06:54,360 Speaker 1: of cases, leaving families devastated. 152 00:06:54,760 --> 00:06:55,080 Speaker 5: Some of the. 153 00:06:55,120 --> 00:06:57,719 Speaker 1: Numbers here just to give you the backstory and the 154 00:06:57,760 --> 00:07:00,120 Speaker 1: idea the way that this usually works. And I'll tell 155 00:07:00,160 --> 00:07:02,320 Speaker 1: you this is something that I'm aware of happening in 156 00:07:02,480 --> 00:07:04,120 Speaker 1: you know, my little small town with one of the 157 00:07:04,120 --> 00:07:07,880 Speaker 1: friends of my teenage daughter is they'll start chatting with 158 00:07:07,920 --> 00:07:12,360 Speaker 1: some girl, you know, cute girl online and she starts 159 00:07:12,400 --> 00:07:17,200 Speaker 1: asking sending pictures, asking you to send pictures. Next thing, 160 00:07:17,280 --> 00:07:21,600 Speaker 1: you know, they send something explicit and then she, which 161 00:07:21,600 --> 00:07:24,840 Speaker 1: turns out not to be who she's representing herself as 162 00:07:25,600 --> 00:07:29,480 Speaker 1: blackmails and says, basically, I'll release these photos if you 163 00:07:29,520 --> 00:07:31,880 Speaker 1: don't pay me X amount of dollars. And you know, 164 00:07:31,880 --> 00:07:35,240 Speaker 1: if you're this kid, this team will say right, they 165 00:07:35,280 --> 00:07:37,880 Speaker 1: don't want their parents to know they were sending nudes online, 166 00:07:37,920 --> 00:07:39,840 Speaker 1: so they're embarrassed to go to their parents, and they 167 00:07:39,880 --> 00:07:41,440 Speaker 1: don't want to get in trouble, and they don't know 168 00:07:41,440 --> 00:07:44,240 Speaker 1: what to do, and so it's a horrific you know, 169 00:07:44,240 --> 00:07:47,000 Speaker 1: they end up in a horrific situation. The numbers here 170 00:07:47,520 --> 00:07:50,000 Speaker 1: they talk to this group that serves as a clearinghouse 171 00:07:50,000 --> 00:07:53,000 Speaker 1: for records of abuse, receive more than ten thousand tips 172 00:07:53,040 --> 00:07:57,040 Speaker 1: of financial sextortion of miners, primarily boys in twenty twenty 173 00:07:57,040 --> 00:07:59,559 Speaker 1: two from the public, as well as from electronic service 174 00:07:59,560 --> 00:08:02,840 Speaker 1: providers like Facebook, Instagram, and Snapchat. By the end of 175 00:08:02,920 --> 00:08:06,480 Speaker 1: July twenty twenty three, they'd already received more than twelve thousand, 176 00:08:06,600 --> 00:08:10,440 Speaker 1: five hundred reports routed to law enforcement, with more continuing 177 00:08:10,520 --> 00:08:12,840 Speaker 1: to pour in now its possible. They say that some 178 00:08:12,880 --> 00:08:15,280 Speaker 1: of these reports are duplicates, but you can see the 179 00:08:15,320 --> 00:08:18,920 Speaker 1: way that the numbers are skyrocketing and the fallow up 180 00:08:18,960 --> 00:08:22,000 Speaker 1: from this is horrific. You've had at least a dozen 181 00:08:22,080 --> 00:08:27,200 Speaker 1: boys who died by suicide last year after being blackmailed 182 00:08:27,320 --> 00:08:30,600 Speaker 1: in this fashion. So it's just another way that I mean, 183 00:08:30,640 --> 00:08:34,080 Speaker 1: there's just so many horrific things happening the kids that 184 00:08:34,400 --> 00:08:36,520 Speaker 1: we would never have contemplated when we were young. 185 00:08:36,840 --> 00:08:37,880 Speaker 3: That's what really creeped me out of this. 186 00:08:37,880 --> 00:08:39,360 Speaker 2: That's one of the reasons I thought we were because 187 00:08:39,400 --> 00:08:41,079 Speaker 2: you had told me that, you know, you would this 188 00:08:41,240 --> 00:08:43,400 Speaker 2: kind of thing had happened somebody that you know, and 189 00:08:43,480 --> 00:08:46,320 Speaker 2: I didn't realize it was so widespread. But it actually 190 00:08:46,320 --> 00:08:49,520 Speaker 2: makes sense because you know, parents, unfortunately, it doesn't seem 191 00:08:49,559 --> 00:08:51,320 Speaker 2: they're just handing their kids their phone and they're not 192 00:08:51,360 --> 00:08:54,000 Speaker 2: having any conversations about this. And these kids don't have 193 00:08:54,120 --> 00:08:57,000 Speaker 2: enough life experience to be like, yeah, some random hot 194 00:08:57,000 --> 00:08:59,760 Speaker 2: girl just message me online. They're like, wow, this is 195 00:08:59,800 --> 00:09:01,960 Speaker 2: all awesome. I'm like, hey, guys, it's probably not real. 196 00:09:02,040 --> 00:09:03,880 Speaker 2: Ninety nine point nine percent of the time, it's just 197 00:09:03,920 --> 00:09:05,760 Speaker 2: not gonna be real. It comes with some life exceps. 198 00:09:05,760 --> 00:09:07,920 Speaker 1: Well, and that's the other thing is not only they 199 00:09:07,920 --> 00:09:09,720 Speaker 1: don't want to get in trouble, they're embarrassed. 200 00:09:09,760 --> 00:09:11,400 Speaker 3: Yeah, of course it's amazing. 201 00:09:11,600 --> 00:09:13,280 Speaker 5: Yeah I'm probably embarrassing. 202 00:09:13,360 --> 00:09:15,560 Speaker 1: And you're like, I got fooled by this person to 203 00:09:15,640 --> 00:09:18,240 Speaker 1: send these photos. I thought she really liked me, you know, 204 00:09:18,320 --> 00:09:21,080 Speaker 1: I thought this was like a whole thing, and now 205 00:09:22,080 --> 00:09:25,400 Speaker 1: you know, I'm being blackmailed. And sometimes what they'll do too, 206 00:09:25,559 --> 00:09:27,760 Speaker 1: is they'll ask for like a relatively small amount of 207 00:09:27,800 --> 00:09:29,480 Speaker 1: money to start with, and it's like, ari, fin, I'll 208 00:09:29,480 --> 00:09:31,520 Speaker 1: send you the twenty parts just to like have this 209 00:09:31,600 --> 00:09:33,240 Speaker 1: go away and not have to deal with it. 210 00:09:33,480 --> 00:09:35,520 Speaker 5: And then they just keep upping the ante up. 211 00:09:35,480 --> 00:09:37,440 Speaker 2: There, like you'll go get your parents' credit card or 212 00:09:37,440 --> 00:09:39,680 Speaker 2: something like that, but that's awful, or send me crypto. 213 00:09:39,880 --> 00:09:41,360 Speaker 3: Probably my bad half. 214 00:09:41,400 --> 00:09:43,960 Speaker 2: These guys aren't even in America because they're technically dabbling 215 00:09:43,960 --> 00:09:46,480 Speaker 2: in child born too, which is like a whole other thing. 216 00:09:46,600 --> 00:09:48,160 Speaker 3: Absolutely coat, it's really creepy. 217 00:09:48,600 --> 00:09:51,000 Speaker 2: I just think that, you know, I honestly, schools need 218 00:09:51,040 --> 00:09:52,920 Speaker 2: to take charge in this. They need to start doing 219 00:09:52,960 --> 00:09:55,280 Speaker 2: sessions on this when kids are like eleven twelve years old. 220 00:09:55,240 --> 00:09:57,120 Speaker 2: I don't know what age kids what age the kids 221 00:09:57,120 --> 00:09:58,160 Speaker 2: get phones now, like. 222 00:09:58,160 --> 00:10:01,160 Speaker 1: Ten around they're usually around middle school, Okay, so yeah, 223 00:10:01,480 --> 00:10:02,680 Speaker 1: eleven twelve, that's right. 224 00:10:02,720 --> 00:10:04,760 Speaker 3: You got to start It's like you know, sex said 225 00:10:04,840 --> 00:10:05,560 Speaker 3: health at whatever. 226 00:10:05,640 --> 00:10:07,160 Speaker 2: You know, you got to have start having like some 227 00:10:07,200 --> 00:10:11,360 Speaker 2: sort of conversation about online and phone behavior if this 228 00:10:11,400 --> 00:10:13,600 Speaker 2: is going to be happening, because otherwise you're just setting 229 00:10:13,600 --> 00:10:15,760 Speaker 2: yourself up, like you said, for a nightmare and the 230 00:10:15,800 --> 00:10:17,599 Speaker 2: really scary part, and what we wanted to highlight is 231 00:10:17,640 --> 00:10:20,560 Speaker 2: that there are multiple suicides now directly linked to this. 232 00:10:20,720 --> 00:10:22,679 Speaker 2: I mean, who knows how many. And we've also had 233 00:10:22,720 --> 00:10:25,880 Speaker 2: so many high profile incidents. Again adults, we know the whole, 234 00:10:25,880 --> 00:10:29,240 Speaker 2: like Manny Tail story and the Catfish movie, all of those. 235 00:10:29,120 --> 00:10:30,800 Speaker 3: I remember them, you know, very well. 236 00:10:31,240 --> 00:10:32,880 Speaker 2: But a lot of these kids they don't know, you know, 237 00:10:32,960 --> 00:10:35,080 Speaker 2: and they don't have as much experience, and you know, 238 00:10:35,120 --> 00:10:38,680 Speaker 2: they're developing and so like it's just they're being thrust 239 00:10:38,720 --> 00:10:41,520 Speaker 2: into the wild, like on Instagram and on their phones. 240 00:10:41,640 --> 00:10:44,880 Speaker 2: Unfortunately it appears with like very little supervision or at 241 00:10:44,960 --> 00:10:47,240 Speaker 2: least like talking to from their parents. So we got 242 00:10:47,240 --> 00:10:49,120 Speaker 2: to have we got to set new norms around technology 243 00:10:49,160 --> 00:10:50,800 Speaker 2: and all this stuff, which you or I who may 244 00:10:50,840 --> 00:10:52,680 Speaker 2: have grown up with this tech, you know, it seems 245 00:10:52,920 --> 00:10:54,480 Speaker 2: very intuitive to us, but we got to think about 246 00:10:54,480 --> 00:10:57,040 Speaker 2: a developing brain that's just immediately interacting with this tech. 247 00:10:57,160 --> 00:10:58,200 Speaker 6: Yeah, no, that's right. 248 00:10:58,280 --> 00:11:00,480 Speaker 5: And listen, I mean sometimes the parents do talk to. 249 00:11:00,440 --> 00:11:02,880 Speaker 6: The kids about you don't listen, you. 250 00:11:02,840 --> 00:11:05,360 Speaker 1: Know, I mean, because sometimes you learn things the hard way. 251 00:11:05,679 --> 00:11:09,040 Speaker 1: If there's anyone out there listening who's been in this situation. Like, 252 00:11:09,080 --> 00:11:10,880 Speaker 1: I know, it's embarrassing. I know you don't want to 253 00:11:10,880 --> 00:11:11,400 Speaker 1: get in trouble. 254 00:11:11,440 --> 00:11:11,840 Speaker 6: Whatever. 255 00:11:12,200 --> 00:11:14,960 Speaker 1: Your parents are human beings too, They've made mistakes as well, 256 00:11:15,080 --> 00:11:17,760 Speaker 1: Like get a grown up involved and do not send 257 00:11:17,800 --> 00:11:19,959 Speaker 1: the money because it will not end. It's not going 258 00:11:19,960 --> 00:11:20,640 Speaker 1: to solve the problem. 259 00:11:20,720 --> 00:11:22,480 Speaker 3: What are your parents, your whatever? Uncle? 260 00:11:22,720 --> 00:11:25,840 Speaker 1: Contact law enforcement because like you said, I mean there's 261 00:11:25,880 --> 00:11:28,880 Speaker 1: serious not only the blackmail, but also you're talking about 262 00:11:29,000 --> 00:11:31,959 Speaker 1: child pornography. I mean, there's serious penalties for this and. 263 00:11:31,920 --> 00:11:33,400 Speaker 2: It should be Yeah, it's a good thing you can 264 00:11:33,400 --> 00:11:34,360 Speaker 2: actually get them in trouble. 265 00:11:34,720 --> 00:11:37,160 Speaker 1: Yeah, I hope law enforcement is like up to date 266 00:11:37,720 --> 00:11:39,560 Speaker 1: on these types of crimes, because I know in the 267 00:11:39,600 --> 00:11:42,920 Speaker 1: past there's been it's been difficult to get police to 268 00:11:42,960 --> 00:11:45,600 Speaker 1: take these sorts of things seriously, Like this is a 269 00:11:45,600 --> 00:11:48,520 Speaker 1: real crime because it was just so like such a 270 00:11:48,559 --> 00:11:51,160 Speaker 1: new landscape and something they didn't know how to navigate either. 271 00:11:51,280 --> 00:11:52,640 Speaker 5: So makes sense anyway. 272 00:11:52,720 --> 00:11:55,280 Speaker 2: Stave Vigeland a very good friend of mine, Jason Willock, 273 00:11:55,320 --> 00:11:57,560 Speaker 2: he now works over at the Washington Post. He's a columnist, 274 00:11:57,600 --> 00:11:59,920 Speaker 2: wrote a column which intrigued both of us. Is going 275 00:11:59,880 --> 00:12:02,199 Speaker 2: to put it up there on the screen really highlights 276 00:12:02,200 --> 00:12:04,160 Speaker 2: something We've been talking a lot here on the show, 277 00:12:04,440 --> 00:12:08,640 Speaker 2: quote how the diploma divide came to dominate American politics, 278 00:12:08,920 --> 00:12:12,920 Speaker 2: and he highlights specifically a University of Pennsylvania, a political 279 00:12:12,920 --> 00:12:16,600 Speaker 2: scientist who has account of the recent political shift, the 280 00:12:16,640 --> 00:12:20,240 Speaker 2: greatest shift really in all of our lifetimes, the diploma divide, 281 00:12:20,440 --> 00:12:24,600 Speaker 2: college educated voters dramatically going towards the Democratic Party, working 282 00:12:24,640 --> 00:12:28,360 Speaker 2: class voters, with some exceptions, martally going to the Republican Party, 283 00:12:28,440 --> 00:12:31,720 Speaker 2: especially when we're talking about whites. He says that within 284 00:12:31,800 --> 00:12:34,680 Speaker 2: this that quote, whites with college degrees and not only 285 00:12:35,520 --> 00:12:38,920 Speaker 2: white working class have driven the polarization process predominantly. 286 00:12:39,240 --> 00:12:39,560 Speaker 4: Quote. 287 00:12:39,559 --> 00:12:42,160 Speaker 2: From at least the early nineteen eighties to mid two thousands, 288 00:12:42,240 --> 00:12:45,560 Speaker 2: there was essentially no difference in average attitudes on economic 289 00:12:45,559 --> 00:12:48,800 Speaker 2: policy between college and non college educated voters. Beginning in 290 00:12:48,800 --> 00:12:51,680 Speaker 2: two thousand and four, however, college educated white voters have 291 00:12:51,720 --> 00:12:54,640 Speaker 2: moved steadily left on economic issues relative to the working class, 292 00:12:54,880 --> 00:12:58,080 Speaker 2: so much so that the education gap on economics is 293 00:12:58,200 --> 00:13:01,040 Speaker 2: half as large as magnitude as the party gap. 294 00:13:00,960 --> 00:13:02,880 Speaker 3: Was in the nineteen eighties. 295 00:13:03,080 --> 00:13:05,840 Speaker 2: But even more interesting, Crystal, and this is what really 296 00:13:06,280 --> 00:13:08,680 Speaker 2: got us in this is that it used to be 297 00:13:08,960 --> 00:13:13,960 Speaker 2: that college educated voters predominantly were the real culture war voters. 298 00:13:14,000 --> 00:13:17,520 Speaker 2: Those are the people most motivated by cultural concerns. But 299 00:13:17,960 --> 00:13:21,360 Speaker 2: with the stripping away really of economics and reality that 300 00:13:21,440 --> 00:13:25,199 Speaker 2: things probably aren't going to change increasingly now the divide 301 00:13:25,440 --> 00:13:28,679 Speaker 2: is around culture, and that's part of why our politics 302 00:13:28,679 --> 00:13:31,280 Speaker 2: are exactly the way they are today, and economics in 303 00:13:31,440 --> 00:13:34,960 Speaker 2: some cases flows downstream from those two. It also just 304 00:13:34,960 --> 00:13:36,880 Speaker 2: makes sense for anybody to come up in the college 305 00:13:36,960 --> 00:13:39,880 Speaker 2: educated system in the last decade. Culture is all basically 306 00:13:39,920 --> 00:13:42,920 Speaker 2: the obsession of not only the elite but the professors 307 00:13:42,920 --> 00:13:46,120 Speaker 2: in terms of what's dominating campus life and what's there, 308 00:13:46,160 --> 00:13:48,679 Speaker 2: Whereas let's say, in the nineteen sixties, there are very 309 00:13:48,720 --> 00:13:50,320 Speaker 2: different conversations that were happen. 310 00:13:50,320 --> 00:13:51,439 Speaker 3: Maybe sixties is a good example. 311 00:13:51,440 --> 00:13:53,400 Speaker 1: I want to say it's pretty politicized then. 312 00:13:53,320 --> 00:13:54,640 Speaker 3: Too, Yeah, but it was different. 313 00:13:54,679 --> 00:13:57,640 Speaker 2: It was about Vietnam and even the culture quote unquote 314 00:13:57,679 --> 00:13:59,160 Speaker 2: there it was about civil rights. I mean, it's just 315 00:13:59,160 --> 00:14:01,680 Speaker 2: don't think it's funny even fundamentally the same as opposed 316 00:14:01,720 --> 00:14:03,640 Speaker 2: to like what we're facing right now. 317 00:14:03,840 --> 00:14:06,240 Speaker 1: So yeah, so it's fascinating to me. It makes a 318 00:14:06,320 --> 00:14:09,200 Speaker 1: lot of sense that it would be college educative voters 319 00:14:09,240 --> 00:14:11,920 Speaker 1: who tend to be more economically secure themselves, who then 320 00:14:11,960 --> 00:14:15,440 Speaker 1: would prioritize cultural issues. Right, It's like, I've got mine, 321 00:14:15,520 --> 00:14:17,880 Speaker 1: I'm good. I don't really care about unions anymore. I'm 322 00:14:17,880 --> 00:14:20,080 Speaker 1: animum wage I'm way above that. Not to be I 323 00:14:20,120 --> 00:14:21,800 Speaker 1: don't want to be glib or like, you know, but 324 00:14:21,960 --> 00:14:23,760 Speaker 1: just in terms of people looking out for their interest. 325 00:14:23,840 --> 00:14:26,000 Speaker 1: So now I have the bandwidth to care about these 326 00:14:26,080 --> 00:14:28,920 Speaker 1: other social cultural issues. So that's what the model used 327 00:14:28,960 --> 00:14:31,720 Speaker 1: to be, which is kind of what people still may 328 00:14:31,760 --> 00:14:35,400 Speaker 1: intuitively think is going on. What we've seen shift is 329 00:14:35,480 --> 00:14:38,840 Speaker 1: now basically everybody is a culture war voter. 330 00:14:39,440 --> 00:14:42,520 Speaker 5: And I mean I'm a little bit I'm a little. 331 00:14:42,240 --> 00:14:44,720 Speaker 1: Bit skeptical of this, but I think part of why 332 00:14:44,840 --> 00:14:47,840 Speaker 1: it makes some sense is because in. 333 00:14:47,680 --> 00:14:49,240 Speaker 6: That earlier period. 334 00:14:49,080 --> 00:14:51,880 Speaker 1: In the nineteen eighties, certainly in the nineteen seventies, you 335 00:14:51,960 --> 00:14:54,600 Speaker 1: had more of an active conversation about what the model of. 336 00:14:54,600 --> 00:14:55,760 Speaker 6: The economy was going to be. 337 00:14:56,000 --> 00:14:59,800 Speaker 1: Yes, you're right, once you get past Bill Clinton adopting, 338 00:15:00,080 --> 00:15:03,480 Speaker 1: you know, a market radicalism very similar to Ronald Reagan, 339 00:15:03,920 --> 00:15:06,800 Speaker 1: will both of the parties agree on some of the 340 00:15:06,960 --> 00:15:10,840 Speaker 1: like major contours of the economic landscape, and so they 341 00:15:10,920 --> 00:15:15,400 Speaker 1: seek to differentiate themselves by culture. By the way, culture 342 00:15:15,520 --> 00:15:18,600 Speaker 1: is also a lot easier to deliver on and very 343 00:15:18,600 --> 00:15:23,000 Speaker 1: comfortable for donors. You know, cultural issues don't threaten the 344 00:15:23,040 --> 00:15:27,000 Speaker 1: donor class really whatsoever. So it's much more convenient for 345 00:15:27,080 --> 00:15:29,840 Speaker 1: parties to focus on those as being like the litmus 346 00:15:29,840 --> 00:15:33,120 Speaker 1: test and the core of their identity. As we've had 347 00:15:33,160 --> 00:15:37,080 Speaker 1: this big partisan sorting, it then makes sense that you know, 348 00:15:37,120 --> 00:15:39,600 Speaker 1: if you're on the Democratic side, and this is like 349 00:15:39,640 --> 00:15:42,840 Speaker 1: the set of issues both culturally and economically, that you 350 00:15:42,920 --> 00:15:44,920 Speaker 1: just start adopting those no matter where you are on 351 00:15:44,960 --> 00:15:45,880 Speaker 1: the economic spectrum. 352 00:15:45,880 --> 00:15:47,520 Speaker 5: If you're on the conservative side. 353 00:15:47,280 --> 00:15:49,440 Speaker 1: Like these are the people who are signaling they're on 354 00:15:49,480 --> 00:15:52,640 Speaker 1: your team culturally, and so you take put more credence 355 00:15:52,680 --> 00:15:56,000 Speaker 1: in the economic philosophy that they are preaching as well. 356 00:15:56,640 --> 00:16:00,440 Speaker 1: One thing that I would note though, is in spite 357 00:16:00,480 --> 00:16:04,720 Speaker 1: of that, and in spite of them arguing that working 358 00:16:04,760 --> 00:16:09,560 Speaker 1: class conservative voters have tended to adopt more conservative ideology, 359 00:16:09,720 --> 00:16:11,800 Speaker 1: we do see that there are a lot of economic 360 00:16:11,920 --> 00:16:16,440 Speaker 1: issues where there's a huge commonality across the American people 361 00:16:17,160 --> 00:16:19,880 Speaker 1: that's not reflected by elites really in either party. I mean, 362 00:16:19,920 --> 00:16:23,360 Speaker 1: you have this huge support for unions, right now, huge 363 00:16:23,360 --> 00:16:25,600 Speaker 1: support for labor right now, huge support for upping the 364 00:16:25,640 --> 00:16:29,120 Speaker 1: minimum wage right now, huge support for making healthcare better, 365 00:16:29,160 --> 00:16:33,840 Speaker 1: expanding healthcare, negotiating Medicare drug prices, lowering prescription drug prices. 366 00:16:34,600 --> 00:16:36,880 Speaker 1: I don't want people to get the impression that there 367 00:16:36,960 --> 00:16:40,120 Speaker 1: is no commonality in terms of an economic vision across 368 00:16:40,160 --> 00:16:42,360 Speaker 1: the two parties, because I do still think that there's 369 00:16:42,400 --> 00:16:45,840 Speaker 1: a big split just by the numbers, between what elites 370 00:16:45,840 --> 00:16:48,920 Speaker 1: and the parties want and what the overall base of 371 00:16:48,960 --> 00:16:50,360 Speaker 1: the party would like to see in reality. 372 00:16:50,400 --> 00:16:50,760 Speaker 7: You're right. 373 00:16:50,800 --> 00:16:52,440 Speaker 2: I mean, look, there's two ways to look at it. 374 00:16:52,520 --> 00:16:53,600 Speaker 2: We're more divided than ever. 375 00:16:53,800 --> 00:16:56,840 Speaker 3: True. We are also more united than ever. Also true. 376 00:16:56,920 --> 00:16:58,560 Speaker 2: Two of those things can be true at the same time. 377 00:16:58,640 --> 00:17:00,280 Speaker 2: It just depends on which conversation want to have. You 378 00:17:00,320 --> 00:17:02,080 Speaker 2: we're talking about guns, Okay, we're more divided than ever 379 00:17:02,120 --> 00:17:04,200 Speaker 2: you want to talk about you know, on some issues 380 00:17:04,200 --> 00:17:06,960 Speaker 2: we're more divided than ever. But even within cultures, like 381 00:17:07,160 --> 00:17:09,120 Speaker 2: what if we're talking about gay marriage, Well, actually we're 382 00:17:09,119 --> 00:17:11,000 Speaker 2: more united than a vast majority of people of the 383 00:17:11,000 --> 00:17:14,399 Speaker 2: country support gay marriage. So it all depends on the 384 00:17:14,400 --> 00:17:16,080 Speaker 2: conversation that you want to have. You can have a 385 00:17:16,080 --> 00:17:17,960 Speaker 2: productive one or you can have a non productive one, 386 00:17:18,000 --> 00:17:19,760 Speaker 2: and I think we know which one most of the 387 00:17:19,760 --> 00:17:24,320 Speaker 2: elites prefer. But unfortunately, as I've said, I don't like 388 00:17:24,359 --> 00:17:26,959 Speaker 2: this trend. Before your college degree is still the best, 389 00:17:27,000 --> 00:17:29,560 Speaker 2: this single best indicator we have in this country of 390 00:17:29,600 --> 00:17:30,280 Speaker 2: how you voted. 391 00:17:30,480 --> 00:17:31,359 Speaker 3: I would really love. 392 00:17:31,240 --> 00:17:33,679 Speaker 2: To get away from that. I don't like that it 393 00:17:33,720 --> 00:17:35,080 Speaker 2: is that way. I think there's a lot of social 394 00:17:35,160 --> 00:17:37,480 Speaker 2: ills that come as a result of that. That also 395 00:17:37,560 --> 00:17:40,840 Speaker 2: whitewashes most conversations that I think people could be having 396 00:17:40,840 --> 00:17:43,879 Speaker 2: around real issues. But also, as you're highlighting, that doesn't 397 00:17:43,880 --> 00:17:46,800 Speaker 2: mean that those can't happen, because people still vastly agree 398 00:17:46,920 --> 00:17:48,359 Speaker 2: on all that whether you went to college or not, 399 00:17:48,440 --> 00:17:51,800 Speaker 2: you know, in terms of wages or the way healthcare whatever, and. 400 00:17:51,760 --> 00:17:54,159 Speaker 1: Perhaps more than ever post pandemic. Yeah, I mean, I 401 00:17:54,160 --> 00:17:56,479 Speaker 1: do think that there was a real shift in the 402 00:17:56,480 --> 00:18:00,679 Speaker 1: pandemic that we've seen play out in terms of, you know, 403 00:18:00,720 --> 00:18:04,679 Speaker 1: people's attitude towards the economy and attitude towards the boss 404 00:18:04,720 --> 00:18:07,600 Speaker 1: class and workers and what workers deserve. 405 00:18:07,440 --> 00:18:07,960 Speaker 6: Et cetera. 406 00:18:09,200 --> 00:18:12,160 Speaker 1: So yeah, I mean, it's it's complex, it's very complex. 407 00:18:12,400 --> 00:18:15,560 Speaker 1: I guess the last thing, and I'll say is given 408 00:18:15,960 --> 00:18:19,720 Speaker 1: that for quite a while, you haven't really had either 409 00:18:19,800 --> 00:18:24,480 Speaker 1: party delivering on the economic pieces of their promises. It 410 00:18:24,560 --> 00:18:26,720 Speaker 1: makes sense that people would be like, all right, well 411 00:18:26,760 --> 00:18:30,240 Speaker 1: then culture, like they can signal to me culturally and 412 00:18:30,280 --> 00:18:31,800 Speaker 1: like be on my team. And I guess that's the 413 00:18:31,800 --> 00:18:34,040 Speaker 1: best that I can hope for. Like, that makes sense, 414 00:18:34,480 --> 00:18:37,159 Speaker 1: And it's going to take a shift in our political 415 00:18:37,200 --> 00:18:40,919 Speaker 1: outcomes in order to, you know, to change people, convince 416 00:18:40,960 --> 00:18:43,680 Speaker 1: people that no, I should like, I actually should care 417 00:18:43,680 --> 00:18:46,520 Speaker 1: about these economic pieces because I have a reasonable hope 418 00:18:46,840 --> 00:18:48,119 Speaker 1: that they may actually come to fruition. 419 00:18:48,240 --> 00:18:49,400 Speaker 3: Yeah, I think that's true. 420 00:18:51,920 --> 00:18:55,040 Speaker 8: Well erstwhile Jets quarterback er, I should say, recovering Jets 421 00:18:55,119 --> 00:18:58,800 Speaker 8: quarterback Aaron Rodgers may be physically injured, but he seems 422 00:18:58,920 --> 00:19:02,200 Speaker 8: mentally pretty sure. During his weekly appearance on The Great 423 00:19:02,200 --> 00:19:07,359 Speaker 8: Pac McAfee Show on ESPN, Aaron Rodgers called Travis Kelcey quote, 424 00:19:07,680 --> 00:19:09,680 Speaker 8: mister Pfizer, take a watch. 425 00:19:09,960 --> 00:19:13,200 Speaker 9: I didn't have a crazy game, and you know, mister Pfiser, 426 00:19:13,280 --> 00:19:14,919 Speaker 9: we kind of shut him down a little bit, and 427 00:19:15,200 --> 00:19:18,600 Speaker 9: you know, he's like crazy impact game. He had, you know, 428 00:19:18,680 --> 00:19:21,080 Speaker 9: some yards and stuff. But I felt like, for the 429 00:19:21,080 --> 00:19:23,200 Speaker 9: most part, you know, we played really tough on defense 430 00:19:23,359 --> 00:19:24,760 Speaker 9: such the last three quarters. 431 00:19:24,920 --> 00:19:30,600 Speaker 8: All right, right, so Jets lose to the Chiefs. Rogers 432 00:19:30,640 --> 00:19:34,600 Speaker 8: calls Travis Kelse on ESPN, which cannot have been happy 433 00:19:34,920 --> 00:19:38,920 Speaker 8: with that, Mister Pfizer, because Travis Kelce, I think has 434 00:19:39,000 --> 00:19:42,359 Speaker 8: done ads. He's actually partnered with Pfizer. This is actually 435 00:19:42,359 --> 00:19:45,080 Speaker 8: from Fox need quote. Kelsey recently partnered with the pharmaceutical 436 00:19:45,160 --> 00:19:49,080 Speaker 8: giant to promote its COVID nineteen and flu vaccines in commercials. 437 00:19:49,440 --> 00:19:55,280 Speaker 8: Rogers had a conversation with with Travis Kelce after the game. 438 00:19:55,440 --> 00:19:57,600 Speaker 8: He said he's going to leave at private, but he said, quote, 439 00:19:57,640 --> 00:19:59,639 Speaker 8: I've known Travis Kelce for a long time and we 440 00:19:59,720 --> 00:20:01,960 Speaker 8: had a great chat. Got to have a quick chat 441 00:20:01,960 --> 00:20:03,840 Speaker 8: with Mahomes about how every time we're supposed to play 442 00:20:03,840 --> 00:20:08,560 Speaker 8: each other, it doesn't happen. Aj Hawk was his former player, 443 00:20:08,800 --> 00:20:10,840 Speaker 8: his former teammate A J. Hawk when they were at 444 00:20:10,840 --> 00:20:13,720 Speaker 8: the Great Green Bay. Packers was on air as well, 445 00:20:13,800 --> 00:20:16,280 Speaker 8: and both of as people just saw McAfee and AJ 446 00:20:16,359 --> 00:20:21,359 Speaker 8: Hawk's reactions were pretty priceless. Mister Pfizer, you know Aaron Rodgers, 447 00:20:21,440 --> 00:20:24,240 Speaker 8: Rogers has you know, even appearances on Rogan Show and 448 00:20:24,359 --> 00:20:28,240 Speaker 8: McAfee's show basically come out as a vaccine skeptic. He's 449 00:20:28,280 --> 00:20:31,760 Speaker 8: kind of railed against woke culture. What did you make 450 00:20:31,800 --> 00:20:32,359 Speaker 8: of this clip? 451 00:20:32,440 --> 00:20:36,359 Speaker 10: Ryan just clout chasing Travis now that Travis is like 452 00:20:36,400 --> 00:20:38,880 Speaker 10: the second most famous person in the world, right, I mean, 453 00:20:38,920 --> 00:20:40,240 Speaker 10: that's what this is at this point. 454 00:20:40,320 --> 00:20:41,600 Speaker 3: Do you think he wants Taylor Swift? 455 00:20:42,400 --> 00:20:45,000 Speaker 10: I mean I think he wants some of the attention probably, 456 00:20:45,119 --> 00:20:49,359 Speaker 10: Like It's funny how like the NFL thought it was 457 00:20:49,400 --> 00:20:52,600 Speaker 10: a big deal and then Travis Kelsey started dating Taylor 458 00:20:52,640 --> 00:20:55,880 Speaker 10: Swift and they realized what an actual big deal it's 459 00:20:55,920 --> 00:20:58,560 Speaker 10: like because Travis Kelsey, you know, maybe the best tight 460 00:20:58,680 --> 00:21:02,359 Speaker 10: end in like football history. And but to the Swift, 461 00:21:02,440 --> 00:21:05,280 Speaker 10: he's like, who is this? Who's this nobody taking taking 462 00:21:05,280 --> 00:21:05,800 Speaker 10: our tailor? 463 00:21:06,000 --> 00:21:06,560 Speaker 9: There was an. 464 00:21:06,440 --> 00:21:11,040 Speaker 8: Amazing post from somebody at a Chief's tailgate who was 465 00:21:11,160 --> 00:21:13,600 Speaker 8: wearing a Travis Kelcey jersey. It was like a girl 466 00:21:13,800 --> 00:21:16,399 Speaker 8: and it was spelled Kelsey, like the name the girl's 467 00:21:16,480 --> 00:21:19,880 Speaker 8: name Kelsey Jersey was on the back. Because clearly they've 468 00:21:19,880 --> 00:21:22,520 Speaker 8: never heard of Travis Kelcey, don't know much about the guy, 469 00:21:22,520 --> 00:21:23,560 Speaker 8: but they love him. 470 00:21:24,119 --> 00:21:25,800 Speaker 10: The only thing I really have to add to this 471 00:21:25,840 --> 00:21:29,000 Speaker 10: conversation is that if people haven't seen it. They should 472 00:21:29,640 --> 00:21:33,840 Speaker 10: google his younger brother, Jason Kelsey's his Super Bowl speech 473 00:21:34,160 --> 00:21:36,159 Speaker 10: that he gave in Philadelpia. Oh that's eighteen. 474 00:21:36,240 --> 00:21:36,680 Speaker 3: That's right. 475 00:21:37,359 --> 00:21:41,119 Speaker 10: Jason Kelsey, by the way, possibly the greatest center in 476 00:21:41,160 --> 00:21:42,000 Speaker 10: football history. 477 00:21:42,080 --> 00:21:45,199 Speaker 3: Did you watch the HBO documentary? No, you'd really like it. 478 00:21:45,240 --> 00:21:47,440 Speaker 8: There's a lot of good Philly stuff too. 479 00:21:47,640 --> 00:21:49,960 Speaker 3: I forget that you're an Eagles fan. So you guys 480 00:21:50,080 --> 00:21:51,240 Speaker 3: really like Jason Kelce. 481 00:21:51,600 --> 00:21:54,560 Speaker 10: Oh yeah, and it's it's an incredible it's an incredible speech. 482 00:21:54,600 --> 00:21:58,360 Speaker 10: You would like just go google Jason Kelce like speech 483 00:21:58,560 --> 00:22:02,120 Speaker 10: and like that all that'll send you. If it sends 484 00:22:02,160 --> 00:22:04,880 Speaker 10: you down to Jason Kels here at Kelsey Brothers rabbit hole, 485 00:22:04,920 --> 00:22:07,800 Speaker 10: it'll be time better spent than some of the other 486 00:22:07,840 --> 00:22:09,919 Speaker 10: Ann Rodgers rabbit holes that you could probably end up 487 00:22:09,960 --> 00:22:10,480 Speaker 10: going down. 488 00:22:10,640 --> 00:22:13,480 Speaker 8: So Aaron Rodgers is a really interesting figure because when 489 00:22:13,520 --> 00:22:16,240 Speaker 8: he was Brett Favre's backup and far was clearly on 490 00:22:16,280 --> 00:22:18,120 Speaker 8: the way out and actually ended up in a really 491 00:22:18,440 --> 00:22:20,800 Speaker 8: similar situation to Aaron Rodgers towards the end of his 492 00:22:20,880 --> 00:22:23,800 Speaker 8: career with the Packers. Rogers is somebody who's always taken 493 00:22:23,880 --> 00:22:26,760 Speaker 8: himself so seriously. He was famously kind of jilted in 494 00:22:26,800 --> 00:22:30,440 Speaker 8: the draft, wanted to play for the Niners and you 495 00:22:30,600 --> 00:22:33,199 Speaker 8: didn't get drafted, and that spot ended up falling in 496 00:22:33,240 --> 00:22:36,920 Speaker 8: the draft. Becomes this wonderful, fantastic quarterback, but he always 497 00:22:36,960 --> 00:22:40,359 Speaker 8: has taken himself so seriously, except for maybe like the 498 00:22:40,400 --> 00:22:42,280 Speaker 8: smoke and JA memes. Do you remember that with Jay 499 00:22:42,320 --> 00:22:45,560 Speaker 8: Cutler back in the day. Those were pretty good and 500 00:22:45,760 --> 00:22:47,639 Speaker 8: was really sort of well liked. And then towards the 501 00:22:47,720 --> 00:22:50,160 Speaker 8: end of his career with the Packers starts getting what 502 00:22:50,240 --> 00:22:52,400 Speaker 8: I think a lot of fansy is an attitude, and 503 00:22:52,440 --> 00:22:55,159 Speaker 8: that is working at the same time as he starts 504 00:22:55,160 --> 00:22:58,400 Speaker 8: like also railing against wote culture, not taking himself that seriously, 505 00:22:58,400 --> 00:23:01,399 Speaker 8: going on McAfee show and going on Rogan and all 506 00:23:01,440 --> 00:23:03,879 Speaker 8: this other stuff. And it is just fascinating to me 507 00:23:04,160 --> 00:23:07,520 Speaker 8: how he's kind of We've talked about this the hippie 508 00:23:07,520 --> 00:23:10,359 Speaker 8: to QAnon pipeline, and I'm not saying that Aaron Rodgers' 509 00:23:10,359 --> 00:23:13,520 Speaker 8: just QAnon and I'm not saying there's nothing about that, 510 00:23:13,600 --> 00:23:17,240 Speaker 8: But there is the like the crunchy type of people, 511 00:23:17,840 --> 00:23:23,439 Speaker 8: surfer type of guy who is now like actually aligning 512 00:23:23,800 --> 00:23:25,720 Speaker 8: with the right. And then you have some of these 513 00:23:25,720 --> 00:23:28,680 Speaker 8: more soccer moms who are aligning more with the surfer 514 00:23:28,840 --> 00:23:32,479 Speaker 8: type hippies on this question of like medical freedom and 515 00:23:32,720 --> 00:23:36,080 Speaker 8: vaccines and listen, people have very legitimate questions. That's not 516 00:23:36,160 --> 00:23:39,919 Speaker 8: but we're not winging in on vaccines here. It's just 517 00:23:39,960 --> 00:23:41,679 Speaker 8: an interesting confluence. 518 00:23:42,080 --> 00:23:46,520 Speaker 10: And yes, I think people that self identify as free thinkers, 519 00:23:47,040 --> 00:23:50,080 Speaker 10: and I think it's important to understand that that phrasing 520 00:23:50,080 --> 00:23:54,200 Speaker 10: and that framing used to position themselves on the left, 521 00:23:54,720 --> 00:23:57,959 Speaker 10: and today, yes, people who self identify as free thinkers 522 00:23:58,000 --> 00:24:01,919 Speaker 10: position themselves or find themselves positioned on the right now. 523 00:24:01,960 --> 00:24:05,280 Speaker 10: I also think that people who self identify as free 524 00:24:05,280 --> 00:24:08,400 Speaker 10: thinker as often are not are a little bit obnoxious 525 00:24:08,400 --> 00:24:10,439 Speaker 10: and not as free thinking as they think they are. 526 00:24:10,480 --> 00:24:15,080 Speaker 10: People overrate their own intellectual agency and ought to have 527 00:24:15,119 --> 00:24:18,040 Speaker 10: some more humility about how free thinking they actually are, 528 00:24:18,080 --> 00:24:21,560 Speaker 10: because if you call yourself a freethinker that, but then 529 00:24:21,600 --> 00:24:25,000 Speaker 10: you agree with a particular person on everything, should ask 530 00:24:25,040 --> 00:24:28,399 Speaker 10: yourself freely, how freely did you arrive at that conclusion? 531 00:24:28,560 --> 00:24:28,679 Speaker 5: Right? 532 00:24:30,119 --> 00:24:34,600 Speaker 10: So, yes, the hippie to QAnon pipeline is a real thing, 533 00:24:34,760 --> 00:24:37,199 Speaker 10: like we've seen it. We've seen it move, but I 534 00:24:37,200 --> 00:24:39,880 Speaker 10: don't think it's as simple as people want to make 535 00:24:39,920 --> 00:24:41,560 Speaker 10: it out to be. And I would encourage people to 536 00:24:41,600 --> 00:24:43,400 Speaker 10: think more freely about that. 537 00:24:43,560 --> 00:24:45,720 Speaker 8: Yeah, And I don't think it's like it's not specific 538 00:24:45,720 --> 00:24:48,720 Speaker 8: to vaccines, and the hippie to QAnon pipeline isn't specific 539 00:24:48,760 --> 00:24:51,480 Speaker 8: to Aaron Rodgers obviously, But what we're talking about basically 540 00:24:51,560 --> 00:24:55,120 Speaker 8: is the kind of vendiagram between like conservative soccer moms 541 00:24:55,240 --> 00:24:58,080 Speaker 8: and hippies where there's this middle ground now where you have, 542 00:24:58,200 --> 00:25:01,280 Speaker 8: you know, maybe like people like Aaron Rodgers coming down 543 00:25:01,320 --> 00:25:05,280 Speaker 8: on the same side on particular questions like woke culture 544 00:25:05,480 --> 00:25:10,400 Speaker 8: and vaccines, and that's where like RFK Junior launching what 545 00:25:10,520 --> 00:25:12,960 Speaker 8: appears to be a third party bid on Monday, I 546 00:25:13,040 --> 00:25:15,200 Speaker 8: bet Aaron Rodgers supports r of K Junior. 547 00:25:15,840 --> 00:25:18,199 Speaker 3: Oh no, no question. Yeah, Like this is. 548 00:25:18,200 --> 00:25:22,080 Speaker 8: A real u there's a real constituency for this, And 549 00:25:22,080 --> 00:25:24,119 Speaker 8: that doesn't mean everyone's going to do it responsibly, But 550 00:25:24,160 --> 00:25:27,360 Speaker 8: I do think there are some responsible conversations that can 551 00:25:27,400 --> 00:25:31,000 Speaker 8: be had because when you again relegate people to the 552 00:25:31,000 --> 00:25:35,439 Speaker 8: fringes of society who are otherwise like intelligent normal people, 553 00:25:36,160 --> 00:25:39,440 Speaker 8: you make those you let you allow bad ideas to 554 00:25:39,480 --> 00:25:42,919 Speaker 8: kind of metastasize in the shadows instead of just like 555 00:25:42,920 --> 00:25:46,399 Speaker 8: like ESPN should be happy, like seriously, because you should 556 00:25:46,400 --> 00:25:48,400 Speaker 8: be able to have these questions in broad daylight, which 557 00:25:48,440 --> 00:25:50,159 Speaker 8: is how we used to do so that people can 558 00:25:50,160 --> 00:25:53,080 Speaker 8: then smack it down. Jenny McCarthy stops start saying weird 559 00:25:53,119 --> 00:25:56,840 Speaker 8: stuff on the view great like the American public and 560 00:25:57,000 --> 00:25:59,560 Speaker 8: everyone else will weigh in and be like, yeah, no, 561 00:26:00,119 --> 00:26:00,800 Speaker 8: this is all right. 562 00:26:01,359 --> 00:26:03,560 Speaker 10: And before people think I'm being too critical of self 563 00:26:03,600 --> 00:26:07,679 Speaker 10: identified freethinkers, self identified people who quote unquote follow the 564 00:26:07,720 --> 00:26:11,439 Speaker 10: science are also obnoxious and are also very rarely following 565 00:26:11,520 --> 00:26:14,640 Speaker 10: the science. So I just want to be equal opportunity here. 566 00:26:14,760 --> 00:26:15,440 Speaker 3: Yeah, that's fair. 567 00:26:16,280 --> 00:26:21,359 Speaker 8: Criticizing the self identified freethinkers from a hardcore fish fan 568 00:26:22,119 --> 00:26:23,399 Speaker 8: is a real. 569 00:26:23,280 --> 00:26:26,720 Speaker 10: Bold move right, and everyone at the Fish Show thinks 570 00:26:26,720 --> 00:26:30,600 Speaker 10: they're like, you know, breaking from the monoculture, and they 571 00:26:30,600 --> 00:26:34,080 Speaker 10: all look the same there. So let's just be humble 572 00:26:34,080 --> 00:26:35,480 Speaker 10: about it, That's all I'm saying. 573 00:26:35,800 --> 00:26:38,720 Speaker 3: There, you go, all right, Well, we'll see you guys later. 574 00:26:41,400 --> 00:26:43,240 Speaker 1: So for some time we've been tracking what is a 575 00:26:43,320 --> 00:26:47,639 Speaker 1: completely insane situation that's been unfolding in Arizona. The backstory 576 00:26:47,640 --> 00:26:52,520 Speaker 1: here is that companies owned by Saudi Arabia effectively have 577 00:26:52,600 --> 00:26:56,400 Speaker 1: been putting in place alfelfa farms in the desert in Arizona, 578 00:26:56,560 --> 00:27:01,760 Speaker 1: soaking up massive amounts of water, using it to feed 579 00:27:01,800 --> 00:27:05,119 Speaker 1: then this alfalfa to cows in Saudi Arabia. Now, in 580 00:27:05,160 --> 00:27:07,760 Speaker 1: the country of Saudi Arabia themself itself, you were not 581 00:27:07,840 --> 00:27:12,920 Speaker 1: allowed to grow water rich, water requiring whatever the word is. 582 00:27:13,000 --> 00:27:14,280 Speaker 6: Crops like alfalfa. 583 00:27:14,680 --> 00:27:18,600 Speaker 1: So they exploited some local water usage laws in Arizona 584 00:27:18,720 --> 00:27:21,520 Speaker 1: to be able to grow these crops use them to 585 00:27:21,560 --> 00:27:23,440 Speaker 1: feed the cows in Saudi Arabian. And this of course 586 00:27:23,480 --> 00:27:26,760 Speaker 1: comes at a time when Arizona's facing massive drought, huge 587 00:27:26,760 --> 00:27:29,159 Speaker 1: heat waves, all of these issues that have created a 588 00:27:29,160 --> 00:27:32,119 Speaker 1: lot of water usage challenges for Phoenix and for WURL 589 00:27:32,320 --> 00:27:34,600 Speaker 1: users alike. So put this up on the screen. We 590 00:27:34,680 --> 00:27:38,399 Speaker 1: actually have some good news. The governor there, Katie Hobbs, 591 00:27:38,520 --> 00:27:42,960 Speaker 1: shuts down corrupt deal with Saudi Arabia for Arizona water. 592 00:27:43,200 --> 00:27:45,320 Speaker 1: Huge wind for water rights for Americans in the drought 593 00:27:45,359 --> 00:27:49,240 Speaker 1: plagued Southwest. So the backstory here is that not only 594 00:27:49,240 --> 00:27:53,120 Speaker 1: did the company exploit these long standing water usage laws 595 00:27:53,119 --> 00:27:55,720 Speaker 1: where basically once they got these leases, they could pump 596 00:27:55,760 --> 00:27:58,600 Speaker 1: as much water as they wanted out of the groundwater 597 00:27:58,680 --> 00:28:02,560 Speaker 1: supply with zero accountability, without even having to track how 598 00:28:02,640 --> 00:28:05,600 Speaker 1: much water they're even using. So they exploited those laws 599 00:28:05,600 --> 00:28:07,639 Speaker 1: and they made sure that they kept this deal in 600 00:28:07,720 --> 00:28:11,520 Speaker 1: place by effectively buying off the legislators in what for 601 00:28:11,560 --> 00:28:14,640 Speaker 1: a long time was a Republican dominated state. They had 602 00:28:14,800 --> 00:28:18,560 Speaker 1: lobbied the legislature and the previous governor. They hired key 603 00:28:18,640 --> 00:28:21,440 Speaker 1: people with high level connections. One of their top lobbyists 604 00:28:21,440 --> 00:28:24,840 Speaker 1: had actually served as finance chair for the Arizona Republican Party. 605 00:28:25,080 --> 00:28:27,680 Speaker 1: They put a former Republican member of Congress on their 606 00:28:27,720 --> 00:28:30,879 Speaker 1: payroll too, And because for so long it was a 607 00:28:30,880 --> 00:28:35,159 Speaker 1: Republican dominated state, paying off these key Republican figures worked 608 00:28:35,560 --> 00:28:37,800 Speaker 1: Now because there's been a lot of press scrutiny and 609 00:28:37,840 --> 00:28:41,320 Speaker 1: because the situation has become so dire, you've really had 610 00:28:41,320 --> 00:28:43,720 Speaker 1: a shift. And Katie Hobbs has come in and said 611 00:28:43,720 --> 00:28:45,120 Speaker 1: she was going to look at it. She put in 612 00:28:45,120 --> 00:28:47,120 Speaker 1: place a plan and now she's not canceling all of 613 00:28:47,200 --> 00:28:49,880 Speaker 1: their leases, but she's canceling some of their leases in 614 00:28:49,920 --> 00:28:52,440 Speaker 1: the hardest hit, most drought stricken parts of the state. 615 00:28:52,480 --> 00:28:54,480 Speaker 1: And Sager, yeah, I did a monologue on this. 616 00:28:54,400 --> 00:28:55,440 Speaker 6: A while ago. 617 00:28:55,800 --> 00:28:58,160 Speaker 1: And part of what you find out too is this 618 00:28:58,200 --> 00:29:00,880 Speaker 1: is already having a huge impact. Some of the workers 619 00:29:01,240 --> 00:29:04,360 Speaker 1: who tend the alfalfa fields, they don't even have like 620 00:29:05,000 --> 00:29:08,120 Speaker 1: drinking water and wells that they can themselves use because 621 00:29:08,120 --> 00:29:10,160 Speaker 1: the sources have been so depleted. They have to like 622 00:29:10,440 --> 00:29:14,080 Speaker 1: cart buckets of water for their own personal use. 623 00:29:14,360 --> 00:29:16,120 Speaker 6: So this has already had a huge effect. 624 00:29:16,400 --> 00:29:19,479 Speaker 1: And you're talking about parts of Arizona that are you know, 625 00:29:19,480 --> 00:29:21,160 Speaker 1: have a lot of high level of poverty. They don't 626 00:29:21,200 --> 00:29:23,360 Speaker 1: have a lot of a lot of local wealth, and 627 00:29:23,400 --> 00:29:25,160 Speaker 1: so they'd also do things like oh, they buy some 628 00:29:25,200 --> 00:29:27,520 Speaker 1: little nice thing for the football team or whatever to 629 00:29:27,600 --> 00:29:29,959 Speaker 1: try to buy off the locals on the cheap. So 630 00:29:30,040 --> 00:29:31,960 Speaker 1: it's good to see that there's actually progress in the 631 00:29:32,000 --> 00:29:32,400 Speaker 1: right direction. 632 00:29:32,480 --> 00:29:34,600 Speaker 2: Ye should cancel all their leases, not just some of them, 633 00:29:34,760 --> 00:29:37,840 Speaker 2: especially because it's it's already we have issues with private 634 00:29:38,480 --> 00:29:40,760 Speaker 2: especially in the West water use and land use up there. 635 00:29:40,760 --> 00:29:43,240 Speaker 3: It's wild because it varies state by state. 636 00:29:43,280 --> 00:29:45,680 Speaker 2: There's that whole project by the Sam Walton family in 637 00:29:45,840 --> 00:29:49,240 Speaker 2: order to try and privatize water like oh my god, Tanna, Yeah, 638 00:29:49,240 --> 00:29:51,160 Speaker 2: that's all like a whole other story. But at least 639 00:29:51,160 --> 00:29:52,840 Speaker 2: those people are our sat We could deal with that 640 00:29:52,920 --> 00:29:56,080 Speaker 2: here with our laws. This is just straight up exploiting 641 00:29:56,120 --> 00:29:58,640 Speaker 2: the ability to bribe their way into the US. So 642 00:29:58,680 --> 00:30:00,480 Speaker 2: they don't want to waste their money, I'll go ahead 643 00:30:00,480 --> 00:30:03,120 Speaker 2: and waste hours in a very similar climate, I would add, 644 00:30:03,320 --> 00:30:06,720 Speaker 2: in order to feed their cows and their populations. Like, okay, 645 00:30:06,720 --> 00:30:09,120 Speaker 2: well you can buy it just like any other person. 646 00:30:09,160 --> 00:30:11,520 Speaker 2: But instead what they do is they buy up their 647 00:30:11,560 --> 00:30:14,040 Speaker 2: access to the towns, the farms and all that. 648 00:30:14,120 --> 00:30:16,280 Speaker 3: So it's very basic little things. I am happy. 649 00:30:16,320 --> 00:30:18,880 Speaker 2: I've been seeing a lot of democratic energy around this 650 00:30:18,960 --> 00:30:21,680 Speaker 2: in recent times. So Katie Hobbs just canceled this. I 651 00:30:21,920 --> 00:30:25,080 Speaker 2: got to give the man credit. Fetterman gave a very eloquent, 652 00:30:25,240 --> 00:30:30,720 Speaker 2: a good speech in Congress about Chinese farmland buying in 653 00:30:30,840 --> 00:30:34,960 Speaker 2: the state of Pennsylvania specifically, like critical farmland, which was 654 00:30:35,000 --> 00:30:37,760 Speaker 2: previously owned by American citizens, is a very similar thing. 655 00:30:37,800 --> 00:30:39,000 Speaker 3: Is a huge problem, actually. 656 00:30:38,960 --> 00:30:39,480 Speaker 5: A big problem. 657 00:30:40,080 --> 00:30:42,640 Speaker 2: It's a big problem in Iowa that relates very much 658 00:30:42,680 --> 00:30:45,880 Speaker 2: to seeds and a lot of industrial espionage stuff like that. 659 00:30:45,880 --> 00:30:48,280 Speaker 2: Because they don't they're a net importer of a lot 660 00:30:48,320 --> 00:30:50,800 Speaker 2: of their food, umlike us. So anyway, it connects to 661 00:30:50,800 --> 00:30:52,960 Speaker 2: a lot of bigger stuff, and I'm happy to see it, 662 00:30:53,000 --> 00:30:54,520 Speaker 2: and it just should be a message like no, you 663 00:30:54,520 --> 00:30:56,400 Speaker 2: can't just buy your way in here when you're government. 664 00:30:56,440 --> 00:30:58,600 Speaker 1: And just to give you a sense, for a long time, 665 00:30:58,600 --> 00:31:00,720 Speaker 1: we had no idea how much water they were using, 666 00:31:01,120 --> 00:31:02,920 Speaker 1: and then the first step forward was like, all right, 667 00:31:02,920 --> 00:31:04,960 Speaker 1: we're going to force you to track it. And they 668 00:31:05,040 --> 00:31:07,760 Speaker 1: found out they were using in a single year the 669 00:31:07,880 --> 00:31:10,880 Speaker 1: amount of water that would supply a city of fifty 670 00:31:11,000 --> 00:31:16,120 Speaker 1: thousand people this one farm just to feed cows in 671 00:31:16,120 --> 00:31:20,360 Speaker 1: Saudi Arabia alfalfa wild situation. So it's good to see 672 00:31:20,360 --> 00:31:22,040 Speaker 1: that there's been I really think a lot of the 673 00:31:22,040 --> 00:31:26,760 Speaker 1: public security and the public outrage, which was bipartisan, forced 674 00:31:26,760 --> 00:31:29,520 Speaker 1: this governor to make some changes that are in positive direction. 675 00:31:29,520 --> 00:31:32,280 Speaker 1: Apparently they have leases in California as well, So this 676 00:31:32,360 --> 00:31:35,000 Speaker 1: isn't this isn't the only problem, but good to see 677 00:31:35,000 --> 00:31:35,920 Speaker 1: progress in this direction. 678 00:31:35,960 --> 00:31:36,920 Speaker 3: Looking at you, Gavin Knew. 679 00:31:36,960 --> 00:31:40,960 Speaker 2: Some very interesting details coming out about Bob Menendez's wife, 680 00:31:41,000 --> 00:31:44,120 Speaker 2: who has been directly implicated in that alleged bribery scheme, 681 00:31:44,160 --> 00:31:47,120 Speaker 2: getting her hands on a nice brand new Mercedes and 682 00:31:47,320 --> 00:31:50,160 Speaker 2: allegedly texting the guy who allegedly bought it for her. 683 00:31:50,720 --> 00:31:54,320 Speaker 3: You know, it's not about all that alleged, because there's text. 684 00:31:54,120 --> 00:31:58,440 Speaker 2: For this beautiful new Mercedes GLC car sounds nice. Well, 685 00:31:58,520 --> 00:32:00,400 Speaker 2: it turns out one of the reasons that she needed 686 00:32:00,400 --> 00:32:02,560 Speaker 2: a new car. Let's go and put this up there 687 00:32:02,600 --> 00:32:06,800 Speaker 2: on the screen. Apparently, while she was Menendez's girlfriend, she 688 00:32:07,000 --> 00:32:10,200 Speaker 2: hit and killed a man while driving on Bogata's main 689 00:32:10,280 --> 00:32:14,120 Speaker 2: street in twenty eighteen. There is apparently this happened in Bogaton, 690 00:32:14,160 --> 00:32:15,560 Speaker 2: New Jersey. I didn't know there was such a thing 691 00:32:15,600 --> 00:32:18,760 Speaker 2: as Bogaton, New Jersey, but there it is. And it's 692 00:32:18,840 --> 00:32:22,080 Speaker 2: only a month after the crash. According to that indictment 693 00:32:22,360 --> 00:32:24,960 Speaker 2: bought by the US attorney, that she was texting with 694 00:32:25,000 --> 00:32:29,200 Speaker 2: this Egyptian businessman about the lack of a car, who 695 00:32:29,240 --> 00:32:33,080 Speaker 2: he then provided her with a twenty nineteen Mercedes Bend 696 00:32:33,160 --> 00:32:36,080 Speaker 2: C three hundred convertible, a very nice car of which 697 00:32:36,080 --> 00:32:39,240 Speaker 2: she then purchased, of which she then thanked him for it. 698 00:32:39,440 --> 00:32:43,120 Speaker 2: Now the details of the crash, it was ruled that 699 00:32:43,200 --> 00:32:44,280 Speaker 2: she didn't do anything wrong. 700 00:32:44,400 --> 00:32:45,000 Speaker 3: Here's what they said. 701 00:32:45,040 --> 00:32:46,920 Speaker 2: They responded to a call of pedestrian hit by a 702 00:32:46,920 --> 00:32:49,320 Speaker 2: car at seven thirty five pm. The crash occurred on 703 00:32:49,440 --> 00:32:52,240 Speaker 2: Main Street after a man was fatally injured in front 704 00:32:52,240 --> 00:32:54,640 Speaker 2: of his home. The police department ruled that she was 705 00:32:54,640 --> 00:32:57,200 Speaker 2: not at fault with the crash. Mister Coop was jaywalking. 706 00:32:57,240 --> 00:32:59,719 Speaker 2: He did not crash the street at an intersection or 707 00:32:59,720 --> 00:33:02,720 Speaker 2: in a marked crosswalks. So this isn't like a tawdry 708 00:33:02,840 --> 00:33:05,440 Speaker 2: report here about how she was allegedly at fault and 709 00:33:05,440 --> 00:33:07,560 Speaker 2: there was a cover up or anything like that. It's 710 00:33:07,600 --> 00:33:10,520 Speaker 2: that the reason she needed a new car, Crystal, was 711 00:33:10,520 --> 00:33:13,360 Speaker 2: because she was involved in his crash, and it seemed 712 00:33:13,400 --> 00:33:17,280 Speaker 2: that she seemed very comfortable after losing her car in 713 00:33:17,320 --> 00:33:20,600 Speaker 2: this crash to then be going to this gentleman allegedly 714 00:33:20,680 --> 00:33:23,720 Speaker 2: again for the lawyers to be asking for a new car. 715 00:33:24,400 --> 00:33:28,560 Speaker 1: But there are some eyebrow raising details about the circumstances here. 716 00:33:29,480 --> 00:33:32,840 Speaker 1: She was not She was not taken in for questioning 717 00:33:33,040 --> 00:33:35,360 Speaker 1: at the time of the of you know, this fatal 718 00:33:35,440 --> 00:33:38,720 Speaker 1: accident where a pedestrian ends up being tragically killed. 719 00:33:39,200 --> 00:33:41,600 Speaker 5: She was not tested for drugs or alcohol. 720 00:33:42,600 --> 00:33:44,320 Speaker 3: Ask yourself that if. 721 00:33:44,160 --> 00:33:46,080 Speaker 1: You were in this situation, do you think they would 722 00:33:46,120 --> 00:33:47,680 Speaker 1: bring you in. Do you think they would do a 723 00:33:47,720 --> 00:33:48,720 Speaker 1: field sobriety test? 724 00:33:48,720 --> 00:33:51,240 Speaker 2: At least you or I hit somebody and fatally killed them, 725 00:33:51,280 --> 00:33:53,480 Speaker 2: no matter what the details are. Of course, our asses 726 00:33:53,520 --> 00:33:56,000 Speaker 2: are getting pulled on at night too, just so we're 727 00:33:56,000 --> 00:33:58,800 Speaker 2: all now you think we're not getting in immediately to 728 00:33:58,840 --> 00:34:01,280 Speaker 2: blow through whatever hundred percent. 729 00:34:01,680 --> 00:34:06,880 Speaker 1: And apparently some retired nearby police officer ends up on 730 00:34:06,920 --> 00:34:08,880 Speaker 1: the scene because he says, oh, his wife is a 731 00:34:08,880 --> 00:34:14,200 Speaker 1: friend of Nadine's. The family very much thinks that there 732 00:34:14,320 --> 00:34:17,680 Speaker 1: was some sort of special deal, cover up, et cetera. 733 00:34:17,800 --> 00:34:21,439 Speaker 1: They do not feel that justice was done here, and 734 00:34:22,239 --> 00:34:25,120 Speaker 1: so anyway, there are I think the fact that she 735 00:34:25,680 --> 00:34:28,439 Speaker 1: there was no field sobriety test done, she wasn't taken 736 00:34:28,440 --> 00:34:31,279 Speaker 1: in for questioning any of that, I think is very 737 00:34:31,280 --> 00:34:35,040 Speaker 1: eyebrow raising and does suggest some special treatment that ordinary 738 00:34:35,080 --> 00:34:37,680 Speaker 1: citizens would not likely receive. And there was no there 739 00:34:37,680 --> 00:34:39,479 Speaker 1: were no news reports of this at the time. 740 00:34:39,520 --> 00:34:40,360 Speaker 3: Well that's crazy. 741 00:34:40,480 --> 00:34:42,759 Speaker 1: This is the first time that we're learning about it 742 00:34:42,760 --> 00:34:45,600 Speaker 1: because it was sort of like alluded to in this indictment, 743 00:34:46,080 --> 00:34:49,960 Speaker 1: and a bunch of local journalists and national press were like, wait, what, 744 00:34:50,320 --> 00:34:52,439 Speaker 1: let's look into the details of it. And like I said, 745 00:34:52,440 --> 00:34:55,560 Speaker 1: there are some very eyebrow raising details contained here. 746 00:34:55,600 --> 00:34:57,279 Speaker 2: Because she was only his girlfriend at the time, I guess, 747 00:34:57,280 --> 00:34:59,080 Speaker 2: not his wife, and it was only afterwards that it 748 00:34:59,120 --> 00:35:01,240 Speaker 2: would have I guess at the time that would have happened. 749 00:35:01,239 --> 00:35:04,000 Speaker 3: But yeah, I don't know the details on it. 750 00:35:04,080 --> 00:35:06,520 Speaker 2: I mean, the police had said that he was jaywalking, 751 00:35:06,719 --> 00:35:09,200 Speaker 2: you know, not in a crosswalk. I'm not saying the 752 00:35:09,200 --> 00:35:11,560 Speaker 2: man deserved to die, of course not. It's a tragic situation, 753 00:35:12,200 --> 00:35:14,480 Speaker 2: so what I had read the details, But the blood 754 00:35:14,480 --> 00:35:15,680 Speaker 2: alcohol thing is. 755 00:35:15,840 --> 00:35:16,800 Speaker 3: Very very suspicious. 756 00:35:16,800 --> 00:35:18,920 Speaker 2: The fact they're not branding, and then of course anytime 757 00:35:18,960 --> 00:35:22,040 Speaker 2: some like retired person is showing up quota as a friend. 758 00:35:22,280 --> 00:35:24,840 Speaker 2: I mean, once again, anybody here has ever been involved 759 00:35:24,840 --> 00:35:27,200 Speaker 2: in a fender. But it's a terrible experience. You know, 760 00:35:27,239 --> 00:35:30,239 Speaker 2: everyone's stressed and people are mad at each other. It's like, 761 00:35:30,320 --> 00:35:32,120 Speaker 2: it must be nice to have somebody be able to 762 00:35:32,160 --> 00:35:34,240 Speaker 2: show up who's connected on your behalf. 763 00:35:34,280 --> 00:35:35,719 Speaker 3: So who knows, actually that's true. 764 00:35:36,000 --> 00:35:39,160 Speaker 2: Really, who knows whether she didn't receive a lot of 765 00:35:39,160 --> 00:35:41,399 Speaker 2: special treatment because she was the girlfriend of a sitting 766 00:35:41,480 --> 00:35:44,840 Speaker 2: US senator and then literally getting stuff on his behalf, 767 00:35:44,880 --> 00:35:46,239 Speaker 2: allegedly as. 768 00:35:46,239 --> 00:35:47,320 Speaker 3: Laid out in the indictment. 769 00:35:47,440 --> 00:35:50,400 Speaker 2: Just gross, gross that they there's a totally different standard 770 00:35:50,400 --> 00:35:52,360 Speaker 2: for these people whenever they do anything. 771 00:35:52,520 --> 00:35:55,719 Speaker 1: Absolutely it said. She initially agreed to let officers search 772 00:35:55,719 --> 00:35:56,800 Speaker 1: your phone, then. 773 00:35:56,680 --> 00:35:57,359 Speaker 6: She took it back. 774 00:35:57,400 --> 00:36:01,320 Speaker 1: Shortly thereafter, she was allowed to to get personal effects 775 00:36:01,400 --> 00:36:04,359 Speaker 1: out of the vehicle. This retired cop shows up to 776 00:36:04,360 --> 00:36:06,160 Speaker 1: help shepherd her through the whole process. 777 00:36:06,960 --> 00:36:09,239 Speaker 6: Anyway, Yeah, that's me off there, are right. 778 00:36:09,280 --> 00:36:10,120 Speaker 3: We'll see you guys later. 779 00:36:13,880 --> 00:36:16,439 Speaker 7: The avocado you're looking at is about thirty days old, 780 00:36:16,840 --> 00:36:19,960 Speaker 7: yet it still looks about as ripe as the day 781 00:36:20,000 --> 00:36:22,759 Speaker 7: it was picked. The source of the magic. It has 782 00:36:22,800 --> 00:36:25,840 Speaker 7: been treated with a new tasteless, edible coating called Appeal, 783 00:36:26,200 --> 00:36:29,840 Speaker 7: an invisible shield promising to double the lifespan of your fruits. 784 00:36:30,360 --> 00:36:31,560 Speaker 7: But is there a catch? 785 00:36:36,960 --> 00:36:40,200 Speaker 11: Appeal Sciences you may remember that it takes left behind 786 00:36:40,320 --> 00:36:43,560 Speaker 11: plant materials like leaves or peels and blends. They bake 787 00:36:43,600 --> 00:36:46,000 Speaker 11: them into a kind of shield that you spray it 788 00:36:46,040 --> 00:36:47,560 Speaker 11: on fruits and vegetables. 789 00:36:47,760 --> 00:36:49,319 Speaker 5: It keeps them from going bad. 790 00:36:49,920 --> 00:36:52,480 Speaker 7: Founded in twenty twelve, Appeal is a family of plant 791 00:36:52,480 --> 00:36:55,480 Speaker 7: derived coating that is applied to keep produce fresher for longer. 792 00:36:55,880 --> 00:36:59,040 Speaker 7: The company's Food Gone Good mission aims to tackle global 793 00:36:59,120 --> 00:37:01,920 Speaker 7: hunger and help me to gate climate change by saving water, 794 00:37:02,360 --> 00:37:06,279 Speaker 7: increasing the shelf life of produce, and reducing greenhouse gas emissions. 795 00:37:06,640 --> 00:37:09,640 Speaker 7: In the past few years, the company's valuation has skyrocketed, 796 00:37:09,960 --> 00:37:12,040 Speaker 7: and produce coated with Appeal can now be found in 797 00:37:12,120 --> 00:37:14,879 Speaker 7: grocery stores nationwide as well as internationally. 798 00:37:15,520 --> 00:37:17,479 Speaker 12: Monks figured out in the Middle Ages that you could 799 00:37:17,480 --> 00:37:19,640 Speaker 12: put beeswax on an apple and it lasts a little 800 00:37:19,680 --> 00:37:22,400 Speaker 12: bit longer. But if you go into a store today 801 00:37:22,800 --> 00:37:25,560 Speaker 12: and you get an organic apple, it's still got beeswax. 802 00:37:25,719 --> 00:37:28,200 Speaker 12: And so Peel comes in and says, you know what, 803 00:37:28,320 --> 00:37:30,959 Speaker 12: Let's use food to solve this problem in a way 804 00:37:31,000 --> 00:37:32,800 Speaker 12: that dramatically reduces ways. 805 00:37:33,000 --> 00:37:36,279 Speaker 7: Using food to reduce food wet sounds like quite the 806 00:37:36,320 --> 00:37:40,520 Speaker 7: scientific innovation, but some in the healthy eating community are 807 00:37:40,640 --> 00:37:43,479 Speaker 7: beginning to ask questions and voice concerns that I think 808 00:37:43,640 --> 00:37:45,400 Speaker 7: warrant our collective attention. 809 00:37:45,800 --> 00:37:47,880 Speaker 13: Did you ever think that your produce would have an 810 00:37:48,000 --> 00:37:48,960 Speaker 13: ingredient list? 811 00:37:49,600 --> 00:37:52,760 Speaker 7: Kristen Dornic is a cookbook author and founder of Kristen's Kitchen, 812 00:37:52,800 --> 00:37:56,240 Speaker 7: a food blog that promotes eating real food. I recently 813 00:37:56,280 --> 00:37:59,200 Speaker 7: spoke with her to better understand the controversy surrounding Appeals 814 00:37:59,200 --> 00:38:00,759 Speaker 7: and new innovative so. 815 00:38:00,719 --> 00:38:03,799 Speaker 13: Appeal is a plant based coating and it's used on 816 00:38:03,960 --> 00:38:06,960 Speaker 13: produce to keep it fresher for longer, But there's a 817 00:38:07,000 --> 00:38:10,719 Speaker 13: lot of there's a lot of questions about what it's 818 00:38:10,760 --> 00:38:11,080 Speaker 13: made of. 819 00:38:11,520 --> 00:38:14,720 Speaker 7: Based on the company's website, Appeal is made of mono 820 00:38:14,800 --> 00:38:17,719 Speaker 7: and diglycerides, which they say are naturally occurring in all 821 00:38:17,760 --> 00:38:21,439 Speaker 7: fruits and vegetables, and that this ingredient has a long 822 00:38:21,560 --> 00:38:24,400 Speaker 7: history of safe conception and has been verified by regulatory 823 00:38:24,440 --> 00:38:27,400 Speaker 7: authorities around the world. But once you dig a little deeper, 824 00:38:27,440 --> 00:38:29,719 Speaker 7: I found the answer to be a bit more opaque 825 00:38:29,719 --> 00:38:33,160 Speaker 7: and a bit more complicated. First off, mono and diglycerides, 826 00:38:33,239 --> 00:38:37,040 Speaker 7: sometimes referred to as monoacloglycerides, are plant based in the 827 00:38:37,040 --> 00:38:39,960 Speaker 7: sense that it is extracted from grape seeds through heavy 828 00:38:40,040 --> 00:38:44,400 Speaker 7: industrial processing at high temperatures, somewhat analogous to the process 829 00:38:44,440 --> 00:38:47,360 Speaker 7: to extrude seed oils commonly found in ultra processed foods, 830 00:38:47,600 --> 00:38:51,560 Speaker 7: which serve as emulsifiers or preservatives to enhance texture, stability, 831 00:38:51,560 --> 00:38:54,840 Speaker 7: and shelf life of food products. Such substances are considered 832 00:38:54,840 --> 00:38:58,080 Speaker 7: by the FDA to be generally recognized as safe or gross. 833 00:38:58,280 --> 00:39:00,920 Speaker 7: What most people don't know, maybe, is that grass certified 834 00:39:01,040 --> 00:39:04,319 Speaker 7: ingredients means that the companies themselves are self certifying the 835 00:39:04,360 --> 00:39:07,800 Speaker 7: safety of the substances through their own hired experts in 836 00:39:07,840 --> 00:39:11,600 Speaker 7: their own trials and submitting a grass notification to the FDA, 837 00:39:11,960 --> 00:39:14,080 Speaker 7: and ninety nine percent of the time the company's claims 838 00:39:14,080 --> 00:39:17,439 Speaker 7: are not independently verified by the FDA. It's what's known 839 00:39:17,480 --> 00:39:20,880 Speaker 7: as a loophole. And if we look closely at appeals 840 00:39:20,880 --> 00:39:24,120 Speaker 7: gross notice submission to the FDA, the industrial process they 841 00:39:24,200 --> 00:39:27,920 Speaker 7: use to extract monoacloglycerides from grape seed leaves residue of 842 00:39:28,160 --> 00:39:33,160 Speaker 7: processing aid residuals such as ethyl acetate and hebtaine, along 843 00:39:33,200 --> 00:39:36,920 Speaker 7: with heavy metals like palladium, arsenic, lead, cadmium, and mercury. 844 00:39:37,239 --> 00:39:40,880 Speaker 7: A recent European Food Safety Authority review of monoacoglycerides E 845 00:39:41,000 --> 00:39:43,799 Speaker 7: four seven to one concluded that while there is no 846 00:39:43,920 --> 00:39:47,600 Speaker 7: reason for a safety concern, they also warned that the 847 00:39:47,640 --> 00:39:51,160 Speaker 7: potential exposure to toxic elements resulting from the consumption of 848 00:39:51,200 --> 00:39:54,160 Speaker 7: E four seventy one could be substantial and the need 849 00:39:54,200 --> 00:39:57,240 Speaker 7: to lower the current maximum limits for arsenic, lead, cadmium, 850 00:39:57,320 --> 00:40:00,320 Speaker 7: and mercury. It does sound like a lot of scarymicals 851 00:40:00,320 --> 00:40:02,280 Speaker 7: that we probably don't want in our food. 852 00:40:02,360 --> 00:40:05,600 Speaker 13: No, this is something that is eventually going to be 853 00:40:05,600 --> 00:40:08,719 Speaker 13: put on all produce. You're not just getting exposed to 854 00:40:08,760 --> 00:40:10,920 Speaker 13: a little bit here and there. You're getting exposed to 855 00:40:10,960 --> 00:40:13,399 Speaker 13: a lot. You know, it's on organic produce too. 856 00:40:13,480 --> 00:40:16,040 Speaker 7: In a now deleted Instagram post, Appeal co founder Jenny 857 00:40:16,120 --> 00:40:18,239 Speaker 7: Due defended her company's use of chemicals. 858 00:40:18,520 --> 00:40:20,880 Speaker 6: Everything around us is chemicals. 859 00:40:21,200 --> 00:40:23,239 Speaker 3: You and I are all made of chemicals. 860 00:40:23,360 --> 00:40:27,000 Speaker 8: In fact, even more amazingly, we are all made of 861 00:40:27,080 --> 00:40:28,120 Speaker 8: star stue. 862 00:40:30,320 --> 00:40:33,240 Speaker 7: Cool. The star stuff that she's referring to, once again, 863 00:40:33,280 --> 00:40:36,040 Speaker 7: based on her own company's registration with the EPA, is 864 00:40:36,080 --> 00:40:39,480 Speaker 7: classified as a pesticide. That's right, organ Appeal, which is 865 00:40:39,520 --> 00:40:43,200 Speaker 7: appeals organic formulation that the company uses to quote organic produce, 866 00:40:43,480 --> 00:40:45,960 Speaker 7: comes with a massive warning label and considered to be 867 00:40:46,040 --> 00:40:48,240 Speaker 7: a hazard to humans and domestic animals. 868 00:40:48,560 --> 00:40:50,319 Speaker 3: On top of that, the EPA. 869 00:40:50,120 --> 00:40:53,000 Speaker 7: Registration raises even more questions about the ingredient lists, as 870 00:40:53,000 --> 00:40:55,640 Speaker 7: it lists the active ingredient as citric acid ato point 871 00:40:55,680 --> 00:40:59,400 Speaker 7: sixty six percent and other ingredients at ninety nine point 872 00:40:59,440 --> 00:41:02,640 Speaker 7: three four percent. But putting aside ingredients and chemicals for 873 00:41:02,680 --> 00:41:06,560 Speaker 7: a second, are there other health implications if All of 874 00:41:06,640 --> 00:41:08,160 Speaker 7: our produce is coded with appeal. 875 00:41:08,400 --> 00:41:10,400 Speaker 3: How do you know when that apple was picked? 876 00:41:10,960 --> 00:41:13,200 Speaker 13: Was it picked three days ago or was it picked 877 00:41:13,200 --> 00:41:14,440 Speaker 13: thirty days ago? 878 00:41:14,880 --> 00:41:15,600 Speaker 3: You can't tell. 879 00:41:15,520 --> 00:41:18,359 Speaker 13: Because the outside it looks it still looks pretty good 880 00:41:18,440 --> 00:41:19,440 Speaker 13: because of that coding. 881 00:41:19,719 --> 00:41:22,919 Speaker 7: Because appeals barrier coating halts the visual decay of fruits 882 00:41:22,960 --> 00:41:26,520 Speaker 7: and vegetables. The next question consumers have been asking is 883 00:41:27,160 --> 00:41:30,000 Speaker 7: does it lock in the nutrients too? It has been 884 00:41:30,040 --> 00:41:33,080 Speaker 7: well documented that most produce loses thirty percent of nutrients 885 00:41:33,160 --> 00:41:36,800 Speaker 7: three days after harvest. In fact, University of California studies 886 00:41:36,840 --> 00:41:39,760 Speaker 7: show that vegetables can lose fifteen to fifty five percent 887 00:41:39,800 --> 00:41:44,640 Speaker 7: of vitamin C, for instance, within a week. Now, I know, 888 00:41:44,680 --> 00:41:47,040 Speaker 7: we've just covered a whole lot of claims about appeal 889 00:41:47,120 --> 00:41:50,759 Speaker 7: from chemicals to nutrients, which beyond mainstream fact checkers like 890 00:41:50,840 --> 00:41:53,840 Speaker 7: those from the Associated Press reiterating that the FDA considers 891 00:41:54,000 --> 00:41:57,240 Speaker 7: appeals coding to be safe for human consumption and correcting 892 00:41:57,280 --> 00:42:00,800 Speaker 7: a post that erroneously confused appeals code with a cleaning 893 00:42:00,800 --> 00:42:03,800 Speaker 7: solution with the same name. Appeal themselves have not really 894 00:42:04,000 --> 00:42:07,360 Speaker 7: publicly addressed much in terms of these claims and concerns. 895 00:42:07,960 --> 00:42:10,440 Speaker 7: Until now, I had the opportunity to sit down with 896 00:42:10,520 --> 00:42:14,000 Speaker 7: Appeals co founder Jenny Doo and the company's VP of Marketing, 897 00:42:14,120 --> 00:42:16,719 Speaker 7: Lauren Sweeney to try to get to the bottom of 898 00:42:16,760 --> 00:42:20,280 Speaker 7: some of these concerns. We've just covered the mystery ingredients 899 00:42:20,280 --> 00:42:23,279 Speaker 7: of appeals organic formulation, the ninety nine point three four 900 00:42:23,280 --> 00:42:27,520 Speaker 7: percent other they say is just purified mono and diglycerides, 901 00:42:27,520 --> 00:42:30,280 Speaker 7: which is the same ingredient in their non organic formulation, 902 00:42:30,840 --> 00:42:34,239 Speaker 7: along with food grade sodium bicarbonate. In regards to the 903 00:42:34,280 --> 00:42:37,439 Speaker 7: publicly available grass submission and other patent submissions that we've 904 00:42:37,440 --> 00:42:40,320 Speaker 7: referenced in this piece, the company states that they quote 905 00:42:40,440 --> 00:42:44,399 Speaker 7: do not represent our current manufacturing processes. Neither heptane nor 906 00:42:44,400 --> 00:42:47,880 Speaker 7: ethyl acetate are used in our manufacturing process and heavy 907 00:42:47,880 --> 00:42:51,080 Speaker 7: metals are also not intentionally added to the product. In 908 00:42:51,120 --> 00:42:53,680 Speaker 7: a follow up email, miss Sweeney reiterated that quote. With 909 00:42:53,840 --> 00:42:56,200 Speaker 7: almost a century of safety use as a food additive, 910 00:42:56,480 --> 00:42:59,920 Speaker 7: rigorous purity and safety standards, and low levels of exposure consumption, 911 00:43:00,520 --> 00:43:02,959 Speaker 7: it is very unlikely that there would be any long 912 00:43:03,040 --> 00:43:06,160 Speaker 7: term health hazard related to the consumption of our product 913 00:43:06,200 --> 00:43:09,080 Speaker 7: on produce. They also revealed that in order to comply 914 00:43:09,200 --> 00:43:11,719 Speaker 7: with the new EU standards, reflective of the notes in 915 00:43:11,760 --> 00:43:14,600 Speaker 7: the SS study that we reference earlier. The company has 916 00:43:14,680 --> 00:43:18,160 Speaker 7: quote already conducted testing on finished formulations that show we 917 00:43:18,200 --> 00:43:22,920 Speaker 7: are already conforming to those forthcoming revised specifications. Misdew and 918 00:43:22,920 --> 00:43:25,640 Speaker 7: miss Sweeney also shared that in addition to protecting produce 919 00:43:25,680 --> 00:43:29,440 Speaker 7: against visual decay, Appeal also locks in nutrients better than 920 00:43:29,480 --> 00:43:33,360 Speaker 7: produce without their coding. When comparing, for example, appeals protected 921 00:43:33,400 --> 00:43:36,839 Speaker 7: blueberries with unprotected blueberries, all of which were harvested at 922 00:43:36,840 --> 00:43:39,560 Speaker 7: the same time and from the same lot, appeal protected 923 00:43:39,560 --> 00:43:43,160 Speaker 7: blueberries maintain higher vitamin C levels and over a longer 924 00:43:43,239 --> 00:43:45,840 Speaker 7: period of time. And there you have it. I obviously 925 00:43:45,880 --> 00:43:48,399 Speaker 7: can't tell you who to believe, but I do want 926 00:43:48,400 --> 00:43:51,120 Speaker 7: to say that I'm very grateful that Appeals senior leadership 927 00:43:51,160 --> 00:43:54,760 Speaker 7: has made the decision to actively participate in this discourse, 928 00:43:54,800 --> 00:43:57,480 Speaker 7: and I hope they continue to do so going forward. Now, 929 00:43:57,520 --> 00:44:00,000 Speaker 7: moving away from the science for a second, let's talk money, 930 00:44:00,200 --> 00:44:04,120 Speaker 7: because I don't think we can ignore Appeal's appeal. 931 00:44:04,280 --> 00:44:06,000 Speaker 3: I think Appeal's got a break future to one today. 932 00:44:06,040 --> 00:44:07,920 Speaker 9: Were able to raise twitter and fifty million. 933 00:44:07,719 --> 00:44:10,480 Speaker 11: Last month at a billion plus valuation. 934 00:44:10,680 --> 00:44:13,880 Speaker 7: That's right. Appeal has attracted a number of high profile investors, 935 00:44:13,880 --> 00:44:17,880 Speaker 7: including celebrities Katy Perry and Oprah Winfrey. Other investors listed 936 00:44:17,920 --> 00:44:20,760 Speaker 7: on the company's website include the Who's Who, a venture capital, 937 00:44:20,840 --> 00:44:24,279 Speaker 7: as well as the Bill and Melinda Gates Foundation, the 938 00:44:24,360 --> 00:44:27,520 Speaker 7: latter of which has been on a spending pair tens 939 00:44:27,560 --> 00:44:29,840 Speaker 7: of billions of dollars over the past decade in what 940 00:44:30,080 --> 00:44:34,000 Speaker 7: some would describe as a coordinated plan to consolidate control 941 00:44:34,360 --> 00:44:37,120 Speaker 7: over the world's food supply. Now, how does Appeal fit 942 00:44:37,200 --> 00:44:39,920 Speaker 7: into this equation or does it fit at all? Just 943 00:44:39,920 --> 00:44:42,879 Speaker 7: something to think about. Appeal has also been recognized as 944 00:44:42,920 --> 00:44:46,080 Speaker 7: a World Economic Form technology pioneer and is a part 945 00:44:46,120 --> 00:44:49,720 Speaker 7: of the World Economic Form Global Innovator's community. The company's 946 00:44:49,760 --> 00:44:52,480 Speaker 7: CEO and co founder, James Rogers, is also a World 947 00:44:52,520 --> 00:44:57,600 Speaker 7: Economic Form Young Global Leader conspiratorial insinuations aside, it is 948 00:44:57,800 --> 00:45:00,839 Speaker 7: at the very least I think concerning that direction of 949 00:45:00,880 --> 00:45:04,000 Speaker 7: where our food system is going, which is, I think 950 00:45:04,000 --> 00:45:08,120 Speaker 7: in a direction that seemingly favors a shift from localized, 951 00:45:08,160 --> 00:45:13,040 Speaker 7: community level farming to top down globalized industrial farming, where 952 00:45:13,040 --> 00:45:17,720 Speaker 7: the food supply necessarily becomes more centrally controlled and further 953 00:45:17,800 --> 00:45:21,000 Speaker 7: removed from the communities that consume it. This is just 954 00:45:21,040 --> 00:45:23,840 Speaker 7: my personal opinion, but without an active mission to empower 955 00:45:23,960 --> 00:45:26,680 Speaker 7: local farmers and dismantle a food system that has been 956 00:45:26,719 --> 00:45:30,640 Speaker 7: financialized to the degree that we as consumers have no 957 00:45:30,760 --> 00:45:33,520 Speaker 7: idea or almost no idea, where our food is coming 958 00:45:33,560 --> 00:45:36,400 Speaker 7: from or what's in it, it would be difficult to 959 00:45:36,440 --> 00:45:39,839 Speaker 7: see how Appeal and its current incarnation would be able 960 00:45:39,840 --> 00:45:42,680 Speaker 7: to do much more than co opt what I think 961 00:45:42,719 --> 00:45:46,399 Speaker 7: are legitimate concerns like climate change and food insecurity as 962 00:45:46,400 --> 00:45:49,520 Speaker 7: a means to make its investors a little bit richer, 963 00:45:49,760 --> 00:45:52,719 Speaker 7: but a last Regardless of where your personal thoughts lie, 964 00:45:52,760 --> 00:45:55,360 Speaker 7: whether you think a product like Appeal is a positive 965 00:45:55,400 --> 00:45:58,480 Speaker 7: game changer, a part of a noble effort to end 966 00:45:58,520 --> 00:46:02,000 Speaker 7: global hunger or battle climate chain, or if it encapsulates 967 00:46:02,280 --> 00:46:05,080 Speaker 7: everything that's gone wrong with our food system in the 968 00:46:05,120 --> 00:46:08,480 Speaker 7: last half century. I hope this segment brings about more 969 00:46:08,520 --> 00:46:11,440 Speaker 7: discussion and more discourse and the importance of food and 970 00:46:11,480 --> 00:46:14,120 Speaker 7: the need to advocate first food system that is truly 971 00:46:14,160 --> 00:46:17,040 Speaker 7: designed for the people. That's it for me this week. 972 00:46:17,239 --> 00:46:20,239 Speaker 7: Please comment below share your thoughts about Appeal and about 973 00:46:20,239 --> 00:46:23,120 Speaker 7: our food system. If you found this segment to be helpful, 974 00:46:23,160 --> 00:46:26,160 Speaker 7: you can support my work by going over and subscribing 975 00:46:26,200 --> 00:46:28,160 Speaker 7: to my YouTube channel fifty one to forty nine with 976 00:46:28,239 --> 00:46:30,680 Speaker 7: James Lee. The link will be in the description below. 977 00:46:31,040 --> 00:46:33,440 Speaker 7: Your support would mean a lot to me, of course, 978 00:46:33,640 --> 00:46:35,960 Speaker 7: keep on tuning into breaking points and thank you so 979 00:46:36,040 --> 00:46:39,359 Speaker 7: much for your time today