1 00:00:00,920 --> 00:00:03,960 Speaker 1: Welcome back to Wellness on Mass. I'm doctor Nicole Sapphire 2 00:00:04,200 --> 00:00:06,960 Speaker 1: and I am fresh back from Scotland where I was 3 00:00:07,040 --> 00:00:10,360 Speaker 1: vacationing with my family. If you've never been to Scotland, 4 00:00:10,520 --> 00:00:13,200 Speaker 1: this was our first time, let me tell you it 5 00:00:13,400 --> 00:00:15,880 Speaker 1: was lovely. You have to kind of like being outdoors. 6 00:00:15,960 --> 00:00:18,919 Speaker 1: If you're not an outdoors person, maybe it's not for you. 7 00:00:19,640 --> 00:00:23,840 Speaker 1: But we had an amazing time about seven hour flight home, 8 00:00:24,040 --> 00:00:28,200 Speaker 1: which gave me ample time to read through the eight 9 00:00:28,360 --> 00:00:33,280 Speaker 1: pages of the elite Make Our Children Healthy Again strategy 10 00:00:34,240 --> 00:00:38,120 Speaker 1: plan that came out of the AHHS, so I thought 11 00:00:38,120 --> 00:00:41,120 Speaker 1: that maybe we'd sit down and go through it. For decades, 12 00:00:41,240 --> 00:00:45,840 Speaker 1: we have watched rising rates of childhood obesity, diabetes, mental 13 00:00:45,880 --> 00:00:50,080 Speaker 1: health struggles, and preventable chronic illness. Just in gen and 14 00:00:50,120 --> 00:00:54,160 Speaker 1: behind the politics, behind the headlines and behind the spin, 15 00:00:54,760 --> 00:00:57,880 Speaker 1: there is really a generation of kids who are suffering 16 00:00:58,240 --> 00:01:01,760 Speaker 1: and they deserve better. About this five years ago in 17 00:01:01,880 --> 00:01:05,360 Speaker 1: my first book, Make America Healthy Again, adults are sick, 18 00:01:05,800 --> 00:01:08,320 Speaker 1: but our kids are even sicker, and they're starting out 19 00:01:08,360 --> 00:01:11,160 Speaker 1: getting sick younger and younger, so by the time they're 20 00:01:11,280 --> 00:01:13,600 Speaker 1: our age, they're going to be worse off than we are. 21 00:01:14,280 --> 00:01:16,959 Speaker 1: So that's why I thought it was really important to 22 00:01:17,000 --> 00:01:21,920 Speaker 1: break down this big strategy that is coming out of 23 00:01:22,120 --> 00:01:27,520 Speaker 1: the RFK Junior AHHS. Remember there was an executive order 24 00:01:27,600 --> 00:01:32,119 Speaker 1: by President Trump earlier this year to the AHHS Secretary 25 00:01:32,240 --> 00:01:35,200 Speaker 1: RFK Junior, saying, I want to see what your plan is. 26 00:01:35,240 --> 00:01:37,199 Speaker 1: What are we going to do to make our kids 27 00:01:37,200 --> 00:01:41,680 Speaker 1: healthy again? Politico leaked this strategy. It was due out. 28 00:01:41,760 --> 00:01:46,600 Speaker 1: The strategy plan was due August fifteenth. They missed that deadline. 29 00:01:46,640 --> 00:01:49,800 Speaker 1: Nothing came out. This is not the final version. This 30 00:01:49,920 --> 00:01:54,440 Speaker 1: is just what was leaked. I gotta be honest, though, 31 00:01:55,600 --> 00:01:58,920 Speaker 1: if you were looking for some real zingers, you're going 32 00:01:59,000 --> 00:02:02,960 Speaker 1: to be thoroughly just pointed. Now listen, it's very easy 33 00:02:03,200 --> 00:02:07,680 Speaker 1: to criticize from the outside looking in. Undoubtedly, I am 34 00:02:07,760 --> 00:02:10,959 Speaker 1: certain a lot of time and effort went into writing this. 35 00:02:12,080 --> 00:02:16,520 Speaker 1: There are some areas where I'm pretty sure chat GPT 36 00:02:16,680 --> 00:02:21,320 Speaker 1: or GROCK or something similar may have contributed significantly. I 37 00:02:21,360 --> 00:02:24,000 Speaker 1: don't have one of those little programs where you can 38 00:02:24,120 --> 00:02:28,800 Speaker 1: check and see. I think whoever put this together reliant 39 00:02:28,840 --> 00:02:32,960 Speaker 1: on it. It doesn't read like someone with the scientific 40 00:02:33,040 --> 00:02:37,760 Speaker 1: background wrote it at all. But that's not uncommon. You know, 41 00:02:37,960 --> 00:02:41,280 Speaker 1: Usually I don't know. I mean, I would hope that 42 00:02:41,360 --> 00:02:45,240 Speaker 1: someone who is qualified to talk about these issues is 43 00:02:45,280 --> 00:02:48,520 Speaker 1: putting together this report, But I guess I would be 44 00:02:49,000 --> 00:02:53,600 Speaker 1: ignorant to think that that happens, probably especially in governmental agencies. 45 00:02:54,840 --> 00:02:58,000 Speaker 1: It definitely doesn't read like someone did. So what they 46 00:02:58,040 --> 00:03:01,520 Speaker 1: did was they identify I had four They broke it 47 00:03:01,560 --> 00:03:05,440 Speaker 1: down into four potential drivers behind the rise in childhood 48 00:03:05,520 --> 00:03:10,160 Speaker 1: chronic disease that presents the clearest opportunities for progress. That's 49 00:03:10,200 --> 00:03:15,920 Speaker 1: their words. They said, poor diet, chemical exposure, lack of 50 00:03:15,919 --> 00:03:20,320 Speaker 1: physical activity and chronic stress, and over medicalization. So those 51 00:03:20,320 --> 00:03:23,520 Speaker 1: are those four things for me. I would not that 52 00:03:23,600 --> 00:03:26,519 Speaker 1: they put them in any sort of numerical order. These 53 00:03:26,520 --> 00:03:30,320 Speaker 1: were just bullet points. I certainly think poor diet number 54 00:03:30,360 --> 00:03:33,120 Speaker 1: one issue that needs to be addressed amongst our kids. 55 00:03:33,720 --> 00:03:36,200 Speaker 1: I would then make that second one be the lack 56 00:03:36,240 --> 00:03:39,720 Speaker 1: of physical activity in chronic stress that our kids are 57 00:03:40,800 --> 00:03:46,720 Speaker 1: seeing these days. From there, I would say the over 58 00:03:46,800 --> 00:03:51,080 Speaker 1: medicalization and chemical exposure. I certainly think these are issues, 59 00:03:51,080 --> 00:03:55,040 Speaker 1: but I think that they are nowhere near as significant 60 00:03:55,320 --> 00:03:57,640 Speaker 1: when it comes to the health of our children as 61 00:03:58,000 --> 00:04:01,840 Speaker 1: poor diet and sedentary life styles and the chronic stress. 62 00:04:02,200 --> 00:04:05,800 Speaker 1: So but that's what they decided to break it down 63 00:04:05,920 --> 00:04:10,520 Speaker 1: into those four things. And unfortunately, the way that this 64 00:04:10,680 --> 00:04:15,240 Speaker 1: strategy was written is very confusing. It's not very organized. 65 00:04:15,880 --> 00:04:19,880 Speaker 1: I personally would have taken those four that they listed 66 00:04:20,040 --> 00:04:24,120 Speaker 1: and then given, you know, have those beheaders and then 67 00:04:24,360 --> 00:04:27,400 Speaker 1: have bullet points below each one of those saying and 68 00:04:27,600 --> 00:04:30,520 Speaker 1: this is how we're going to address it. They didn't 69 00:04:30,560 --> 00:04:34,760 Speaker 1: do that. They just kind of flight of ideas, kept 70 00:04:34,960 --> 00:04:37,000 Speaker 1: started listing a whole bunch of things that they want 71 00:04:37,040 --> 00:04:40,320 Speaker 1: to do. But when you're reading the way that they 72 00:04:40,600 --> 00:04:42,720 Speaker 1: are listing the things that they want to do, it's 73 00:04:42,760 --> 00:04:46,640 Speaker 1: actually kind of funny. I'd say funny. I don't know 74 00:04:46,640 --> 00:04:50,640 Speaker 1: if it's so much funny haha, because I mean, when 75 00:04:50,680 --> 00:04:53,520 Speaker 1: we're talking about the health of our children, I would 76 00:04:53,560 --> 00:04:55,120 Speaker 1: like to see a little bit more of a plan 77 00:04:55,200 --> 00:04:59,760 Speaker 1: in place than what was put forth. The reality is, 78 00:05:00,000 --> 00:05:02,600 Speaker 1: I don't know who wrote this. There's some there's a 79 00:05:02,600 --> 00:05:06,400 Speaker 1: lot of hyperbole in it. Maybe some words I wouldn't 80 00:05:06,400 --> 00:05:11,400 Speaker 1: have used because they sound hyperbolic. Maybe a trat GPT, 81 00:05:11,720 --> 00:05:17,640 Speaker 1: maybe an English or literary major added them. I'll give 82 00:05:17,680 --> 00:05:20,800 Speaker 1: you some specifics. Well, actually here's one right now. They're 83 00:05:20,839 --> 00:05:24,159 Speaker 1: talking about a task force that is going to be launched. 84 00:05:24,440 --> 00:05:28,919 Speaker 1: They're like, this task force is going to leverage collective 85 00:05:29,080 --> 00:05:36,880 Speaker 1: expertise to catalyze transformative discovery in science and intervention strategies 86 00:05:37,480 --> 00:05:40,000 Speaker 1: that provoke promote wellness. Blah blah blah blah blah. But 87 00:05:40,080 --> 00:05:45,000 Speaker 1: I'm like, who wrote this catalyze the transformative discoveries and science? 88 00:05:45,600 --> 00:05:48,159 Speaker 1: I mean, it just sounds I mean, it's exciting, it 89 00:05:48,240 --> 00:05:52,760 Speaker 1: sounds exciting, But after reading through this whole thing, it 90 00:05:52,839 --> 00:05:56,160 Speaker 1: kind of sounded like to me that they were like, 91 00:05:56,400 --> 00:06:00,480 Speaker 1: I like it this way. Imagine you are client a sport. 92 00:06:00,600 --> 00:06:03,600 Speaker 1: Let's go with basketball. I never played basketball. I'm only 93 00:06:03,600 --> 00:06:06,039 Speaker 1: five to one. They don't usually let shorties like me 94 00:06:06,080 --> 00:06:09,200 Speaker 1: on the team. But let's say we're on a basketball team. 95 00:06:09,600 --> 00:06:12,880 Speaker 1: We're all hyped up. It's a big game. The coach 96 00:06:13,440 --> 00:06:16,680 Speaker 1: he'say like, all right, guys, huddle up, huddle up, this 97 00:06:16,720 --> 00:06:19,720 Speaker 1: is the plan. And everyone just like goes silent because 98 00:06:19,720 --> 00:06:21,680 Speaker 1: they're like, we need to hear what the coach is 99 00:06:21,720 --> 00:06:24,960 Speaker 1: going to say. We need that game plan. The coach 100 00:06:25,080 --> 00:06:29,040 Speaker 1: is like, this is it. As soon as the buzzer 101 00:06:29,520 --> 00:06:32,160 Speaker 1: buzzes or I guess I don't do they buzz when 102 00:06:32,160 --> 00:06:37,320 Speaker 1: you're supposed to start. As soon as it starts, just 103 00:06:37,320 --> 00:06:40,200 Speaker 1: just do your thing. And then everyone just kind of 104 00:06:40,200 --> 00:06:42,400 Speaker 1: like looks at around at each other like I'm sorry, 105 00:06:42,440 --> 00:06:45,080 Speaker 1: what was that. The coach is like, you know, just 106 00:06:45,160 --> 00:06:48,400 Speaker 1: you know, play some basketball. Yeah, no, no, no, coach, 107 00:06:48,440 --> 00:06:51,760 Speaker 1: we've got that. We've got that. We're playing a basketball game. 108 00:06:52,279 --> 00:06:55,240 Speaker 1: But what's the plan? What's the play? Give us the 109 00:06:55,240 --> 00:06:57,479 Speaker 1: play by play? You know, where are we going? What 110 00:06:57,560 --> 00:07:01,400 Speaker 1: positions are we in? No, no, no, we're going to 111 00:07:01,440 --> 00:07:04,239 Speaker 1: figure that out. Just go on out there, let's play. 112 00:07:04,400 --> 00:07:07,040 Speaker 1: We'll figure it all out. Don't you worry. We'll figure 113 00:07:07,080 --> 00:07:12,480 Speaker 1: it all out at some point. That's essentially how this 114 00:07:12,560 --> 00:07:15,120 Speaker 1: strategy read to me. Again, this is not the final version, 115 00:07:15,280 --> 00:07:20,440 Speaker 1: so maybe this was just a that's missing a lot 116 00:07:20,440 --> 00:07:23,600 Speaker 1: of information, but I don't know. So a couple of 117 00:07:23,640 --> 00:07:25,640 Speaker 1: things right off the bat that they say they want 118 00:07:25,680 --> 00:07:28,920 Speaker 1: to do is just put together a few more task force, 119 00:07:29,080 --> 00:07:32,200 Speaker 1: because you know, these task force that's what's really going 120 00:07:32,240 --> 00:07:34,400 Speaker 1: to save the world. I can be critical of these 121 00:07:34,440 --> 00:07:37,600 Speaker 1: task force mainly because I was on a CDC task force. 122 00:07:38,280 --> 00:07:40,960 Speaker 1: I was on an advisory committee for breast cancer and 123 00:07:41,040 --> 00:07:45,320 Speaker 1: young women, and it's something Obviously, I'm very passionate about 124 00:07:45,440 --> 00:07:49,720 Speaker 1: my day job. While I do all oncologic imaging, breast 125 00:07:49,760 --> 00:07:53,680 Speaker 1: cancer is what I specialized in, or specialize in in 126 00:07:53,720 --> 00:07:58,280 Speaker 1: the past tense. But I will tell you we got 127 00:07:58,560 --> 00:08:03,280 Speaker 1: very little done in the several years that we were 128 00:08:03,280 --> 00:08:06,400 Speaker 1: on it, not because there weren't smart people on it. 129 00:08:06,440 --> 00:08:09,400 Speaker 1: In fact, we were all motivated. We're all very smart. 130 00:08:09,440 --> 00:08:12,040 Speaker 1: We all had a lot to say. It's just that 131 00:08:12,200 --> 00:08:16,480 Speaker 1: these task force and advisory committees, especially when they're under 132 00:08:16,600 --> 00:08:20,280 Speaker 1: the federal umbrella, they just are not efficient and they 133 00:08:20,320 --> 00:08:24,160 Speaker 1: don't really get things done. And that is a flaw 134 00:08:24,240 --> 00:08:28,040 Speaker 1: of their system. So if we're going to have these 135 00:08:28,080 --> 00:08:30,920 Speaker 1: task force, maybe I should come in and give some 136 00:08:31,080 --> 00:08:34,080 Speaker 1: ideas onto how to make these task force actually have 137 00:08:34,160 --> 00:08:37,640 Speaker 1: an impact. Because what the task force do is all right, 138 00:08:37,679 --> 00:08:39,760 Speaker 1: they're going to set a meeting. That meeting is going 139 00:08:39,840 --> 00:08:44,920 Speaker 1: to happen in a few months maybe, and then maybe 140 00:08:45,160 --> 00:08:48,959 Speaker 1: a few months after that you'll get a document about 141 00:08:49,040 --> 00:08:54,520 Speaker 1: their recommendations. It rarely happens after just one meeting. They 142 00:08:54,600 --> 00:08:56,800 Speaker 1: usually have a meeting to discuss and then at the 143 00:08:56,920 --> 00:08:58,520 Speaker 1: end of that meeting they're like, well, these are things 144 00:08:58,520 --> 00:09:00,839 Speaker 1: we should follow up on. So then they have another 145 00:09:00,880 --> 00:09:04,080 Speaker 1: meeting a few months later, and in that meeting they're like, okay, 146 00:09:04,760 --> 00:09:06,679 Speaker 1: so let we followed up on these now what should 147 00:09:06,720 --> 00:09:08,800 Speaker 1: we do about them? And now that takes a few 148 00:09:08,800 --> 00:09:12,959 Speaker 1: more months for that to come out. And then by 149 00:09:13,000 --> 00:09:16,360 Speaker 1: the time that they actually give their recommendations and they're like, 150 00:09:16,480 --> 00:09:19,640 Speaker 1: this is what needs to be done, another administration has 151 00:09:19,679 --> 00:09:21,760 Speaker 1: taken over and it's all new people and there was 152 00:09:21,800 --> 00:09:23,760 Speaker 1: as though they didn't even exist in the first place. 153 00:09:24,000 --> 00:09:27,240 Speaker 1: So whatever MAHA wants to do right now, they better 154 00:09:27,280 --> 00:09:31,559 Speaker 1: get cracking, because you know, four years comes real fast 155 00:09:31,920 --> 00:09:35,679 Speaker 1: in the life cycle of the White House and the administration. 156 00:09:36,040 --> 00:09:38,240 Speaker 1: One of the things that they were talking about right 157 00:09:38,240 --> 00:09:40,920 Speaker 1: off the bat is, you know, they want to focus 158 00:09:41,000 --> 00:09:44,959 Speaker 1: on a new whole person health approach to chronic disease prevention. 159 00:09:46,559 --> 00:09:51,400 Speaker 1: This is the whole to catalyze transformative discovery science. But 160 00:09:51,400 --> 00:09:54,640 Speaker 1: they're essentially saying, let's just look at more than what 161 00:09:54,679 --> 00:09:57,800 Speaker 1: we've always looked at when it comes to approaching chronic illness. 162 00:09:58,920 --> 00:10:03,199 Speaker 1: And they're talking about new research initiatives, including the importance 163 00:10:03,240 --> 00:10:07,320 Speaker 1: of sleep nutrition and the potential health benefits of select 164 00:10:07,400 --> 00:10:11,719 Speaker 1: high quality supplements. I mean, I like that as the 165 00:10:11,720 --> 00:10:16,760 Speaker 1: owner of a nutraceutical company. Albeit I'm a very small 166 00:10:16,880 --> 00:10:21,400 Speaker 1: nutraceutical company, but I love natural herbs. I created the 167 00:10:21,440 --> 00:10:25,320 Speaker 1: whole line of drop our X because I like natural herbs. 168 00:10:25,360 --> 00:10:27,080 Speaker 1: I believe in them, and I believe in their role. 169 00:10:28,400 --> 00:10:31,680 Speaker 1: So I think that's great. So I like to hear 170 00:10:31,720 --> 00:10:35,520 Speaker 1: that because right now, you know, sometimes you can be 171 00:10:35,720 --> 00:10:38,800 Speaker 1: deemed to charlatan when you talk about natural herbs. But 172 00:10:38,840 --> 00:10:41,720 Speaker 1: the reality is, if they work for you, why not. 173 00:10:43,760 --> 00:10:47,480 Speaker 1: The thing that bothers me a little bit when they 174 00:10:47,480 --> 00:10:50,720 Speaker 1: start talking about some of this. One of the big 175 00:10:50,760 --> 00:10:54,800 Speaker 1: initiatives is they say real World Data Platform. Now, we 176 00:10:54,880 --> 00:10:57,440 Speaker 1: had some headlines about this in the last month where 177 00:10:57,440 --> 00:11:00,520 Speaker 1: they essentially said that they want to central a lot 178 00:11:00,520 --> 00:11:04,199 Speaker 1: of the information when it comes out of healthcare system 179 00:11:04,679 --> 00:11:06,880 Speaker 1: and other things, and how can they take all of 180 00:11:06,880 --> 00:11:10,360 Speaker 1: that information to really look at have a broad view 181 00:11:11,240 --> 00:11:16,760 Speaker 1: of how sick people are. This seems very good. There's 182 00:11:16,800 --> 00:11:23,199 Speaker 1: some concerns about patient security, privacy concerns, whether patients are 183 00:11:23,240 --> 00:11:27,640 Speaker 1: consenting to having their data release to the government. They 184 00:11:27,720 --> 00:11:31,800 Speaker 1: also talk a lot about the wearables data. You know 185 00:11:31,840 --> 00:11:34,160 Speaker 1: a lot of people are wearing those rings or those 186 00:11:34,720 --> 00:11:40,679 Speaker 1: watches or whatever it is. People just love wearables. Here's 187 00:11:40,720 --> 00:11:44,000 Speaker 1: the thing that I'm stuck on a little bit when 188 00:11:44,000 --> 00:11:47,640 Speaker 1: I read these reports. Anything out of the HHS right 189 00:11:47,679 --> 00:11:51,120 Speaker 1: now bugs me a bit in the sense that they 190 00:11:51,200 --> 00:11:57,320 Speaker 1: talk about a lot of these electronic data platforms, specifically 191 00:11:57,760 --> 00:12:03,360 Speaker 1: using wearables. That raises red flags for me because surrounding 192 00:12:03,480 --> 00:12:07,880 Speaker 1: RFK Junior, there are a few people who directly financially 193 00:12:07,920 --> 00:12:13,360 Speaker 1: benefit from a lot of these endeavors, the wellness supplements, 194 00:12:13,440 --> 00:12:20,440 Speaker 1: the wearables, the the digital platforms. It is the brother 195 00:12:20,480 --> 00:12:25,800 Speaker 1: and sister duo Cali and Casey Means. Prior to RFK Junior, 196 00:12:25,840 --> 00:12:28,320 Speaker 1: I hadn't ever heard of them, but I've heard of 197 00:12:28,360 --> 00:12:31,840 Speaker 1: them a lot now because their names have been brought 198 00:12:31,880 --> 00:12:34,959 Speaker 1: to the forefront. Cali Means used to work for the 199 00:12:35,000 --> 00:12:40,880 Speaker 1: big food industry. I believe he is now. What is 200 00:12:40,920 --> 00:12:44,679 Speaker 1: he like a special advisor to the government. I don't 201 00:12:44,679 --> 00:12:48,000 Speaker 1: think he's actually government employee, but he's like a special advisor. 202 00:12:48,040 --> 00:12:52,080 Speaker 1: He certainly is amazing at PR. I mean, he just 203 00:12:52,120 --> 00:12:55,679 Speaker 1: puts out PR campaigns for RFK Junior and the Akhs 204 00:12:55,720 --> 00:12:59,839 Speaker 1: and everyone on board. He is a sleuth at social media. 205 00:13:00,720 --> 00:13:04,560 Speaker 1: I mean, if he ever wants to get into the 206 00:13:04,600 --> 00:13:08,800 Speaker 1: world of being a social media guru. He's got it 207 00:13:08,920 --> 00:13:12,960 Speaker 1: because if he wants talking points out there, he will 208 00:13:13,000 --> 00:13:15,640 Speaker 1: push them, and he is really good at getting influencers 209 00:13:15,679 --> 00:13:18,080 Speaker 1: and people to talk about it. And the reality is 210 00:13:18,120 --> 00:13:20,920 Speaker 1: a lot of what he's talking about I am on 211 00:13:21,040 --> 00:13:23,680 Speaker 1: board with. I agree with a lot of what he says. 212 00:13:24,840 --> 00:13:28,840 Speaker 1: The issue I have is that he founded this company 213 00:13:28,880 --> 00:13:33,120 Speaker 1: called Truemed and that on itself, it's a good thing. 214 00:13:33,760 --> 00:13:36,240 Speaker 1: I don't know it personally, but you know, it's described 215 00:13:36,280 --> 00:13:40,400 Speaker 1: as a health wellness platform designed to allow you know, 216 00:13:40,520 --> 00:13:45,560 Speaker 1: the hssays, the fssays or those tax advantage spending on supplements, 217 00:13:45,600 --> 00:13:50,320 Speaker 1: healthy food, exercise gear, and just other wellness products. It 218 00:13:50,400 --> 00:13:54,800 Speaker 1: also provides letters of medical necessity to qualify for purchases 219 00:13:54,920 --> 00:13:57,439 Speaker 1: for those benefits. It seems like it does a good 220 00:13:57,480 --> 00:14:01,640 Speaker 1: amount of those things. Now, a lot of the endeavors 221 00:14:01,679 --> 00:14:05,320 Speaker 1: that RFK Junior is pushing forward in like this strategy 222 00:14:06,520 --> 00:14:11,480 Speaker 1: would certainly fall in line here. So it would behoove 223 00:14:11,559 --> 00:14:15,720 Speaker 1: them to make sure that they are very transparent with 224 00:14:16,280 --> 00:14:20,640 Speaker 1: some of these disclosures. Taking that a step farther, CALLI 225 00:14:20,800 --> 00:14:27,160 Speaker 1: means sister is casey means I have to always cook slowly. 226 00:14:27,240 --> 00:14:30,720 Speaker 1: When I say their names because you know, like moms, 227 00:14:31,120 --> 00:14:33,800 Speaker 1: I did the same initials for my children to make 228 00:14:33,840 --> 00:14:37,000 Speaker 1: it easy. Their parents clearly did the same thing. CALLI 229 00:14:37,040 --> 00:14:41,960 Speaker 1: and Casey I like it. Casey Means if you've heard 230 00:14:41,960 --> 00:14:45,360 Speaker 1: that voice. She is the current nominee for surgeon General. 231 00:14:45,720 --> 00:14:51,480 Speaker 1: Doctor Jeanette Neschwatt was the original Trump nominee for surgeon General, 232 00:14:52,240 --> 00:14:56,840 Speaker 1: but President Trump pulled her nomination and that in the 233 00:14:56,920 --> 00:15:01,120 Speaker 1: moment he appointed Casey Means. Now, I've been told by 234 00:15:01,240 --> 00:15:05,960 Speaker 1: people in the circle that RFK Junior had always wanted 235 00:15:06,080 --> 00:15:09,240 Speaker 1: Casey Means in that role because he's very close with 236 00:15:09,320 --> 00:15:13,240 Speaker 1: Calli Means, I assume, and he was not happy with 237 00:15:13,520 --> 00:15:19,640 Speaker 1: the Jeanette Nshwauk pick. And is that conjecture maybe? Except 238 00:15:20,080 --> 00:15:23,280 Speaker 1: when everyone was being announced, all of the nominees were 239 00:15:23,320 --> 00:15:28,040 Speaker 1: being announced for like the health stuff, Janette and Eshwat 240 00:15:28,040 --> 00:15:31,440 Speaker 1: was the only one who didn't get a public congratulations 241 00:15:31,520 --> 00:15:35,720 Speaker 1: by RFK Junior, and I felt that was not very nice. 242 00:15:35,880 --> 00:15:38,360 Speaker 1: I felt like, when are we back in high school? 243 00:15:38,440 --> 00:15:40,640 Speaker 1: Or we in an episode of mean girls or mean 244 00:15:40,720 --> 00:15:44,520 Speaker 1: guys in this case, like come on, just congratulator geez. 245 00:15:44,640 --> 00:15:49,880 Speaker 1: So when she was removed, I was not surprised, not 246 00:15:50,000 --> 00:15:53,280 Speaker 1: because she wasn't qualified, just I knew RFK didn't want 247 00:15:53,280 --> 00:15:56,400 Speaker 1: her there, So Casey means is there now she has 248 00:15:56,480 --> 00:16:01,520 Speaker 1: kind of her own stuff. People have been vocal about 249 00:16:01,720 --> 00:16:04,320 Speaker 1: whether or not they want her in that role. I 250 00:16:04,320 --> 00:16:06,840 Speaker 1: think one of the biggest things from the medical perspective 251 00:16:06,920 --> 00:16:09,960 Speaker 1: is she never finished her medical training. She didn't finish 252 00:16:09,960 --> 00:16:18,560 Speaker 1: her residency program, which means that I don't know what 253 00:16:18,680 --> 00:16:20,760 Speaker 1: I don't really know what her history is. I think 254 00:16:21,520 --> 00:16:25,520 Speaker 1: she kind of has, you know, used the strategy of 255 00:16:26,520 --> 00:16:28,880 Speaker 1: oh well, I just was I didn't like the way 256 00:16:29,000 --> 00:16:31,840 Speaker 1: that medicine was being done and I wanted to focus 257 00:16:31,920 --> 00:16:33,840 Speaker 1: more on health and wellness. I mean that sounds like 258 00:16:33,840 --> 00:16:38,480 Speaker 1: a beautiful spin. I mean, definitely aligned of what she 259 00:16:38,560 --> 00:16:41,240 Speaker 1: and her brother decided to do with writing a book 260 00:16:41,440 --> 00:16:46,720 Speaker 1: and you know, going forth in that wellness space. Some 261 00:16:46,720 --> 00:16:51,200 Speaker 1: people are reporting that she couldn't cut it. Maybe I 262 00:16:51,200 --> 00:16:54,840 Speaker 1: don't know why. Maybe she had a hard time mentally 263 00:16:54,880 --> 00:16:57,960 Speaker 1: with it. Physically it's very arduous in residency. I don't 264 00:16:57,960 --> 00:16:59,360 Speaker 1: know what it is. I don't know why she didn't finish. 265 00:16:59,480 --> 00:17:03,120 Speaker 1: I can tell you that as a physician, if you're 266 00:17:03,200 --> 00:17:05,760 Speaker 1: looking at the nation's doctor and that's what the surgeon 267 00:17:05,840 --> 00:17:09,560 Speaker 1: General is. The fact that she didn't finish her residency 268 00:17:09,600 --> 00:17:12,560 Speaker 1: is a red flag for me because I am wanting 269 00:17:12,760 --> 00:17:17,200 Speaker 1: medical professionals, not just the general public, but medical professionals 270 00:17:17,240 --> 00:17:20,480 Speaker 1: to respect the individual in this role. If she didn't 271 00:17:20,480 --> 00:17:23,399 Speaker 1: finish her residency, I can tell you the majority of 272 00:17:23,440 --> 00:17:26,840 Speaker 1: medical professionals are not going to respect the words coming 273 00:17:26,840 --> 00:17:29,080 Speaker 1: out of her mouth. Now maybe that's old school thought, 274 00:17:29,440 --> 00:17:31,520 Speaker 1: and maybe we should be a little bit more progressive, 275 00:17:31,600 --> 00:17:35,440 Speaker 1: but I'm just telling you that's the reality. And while 276 00:17:35,440 --> 00:17:38,879 Speaker 1: that bothers me a bit, the piece about all this 277 00:17:38,960 --> 00:17:43,080 Speaker 1: that bothers me the most the most is not even that, 278 00:17:43,440 --> 00:17:46,480 Speaker 1: even though that does bother me a little bit, she 279 00:17:46,880 --> 00:17:51,280 Speaker 1: co founded a company called Levels. Levels is a company 280 00:17:51,359 --> 00:17:56,439 Speaker 1: that sells glucose monitors and the subscription health apps. What 281 00:17:56,520 --> 00:18:01,200 Speaker 1: are those? That's the wearables data everything that our FKA 282 00:18:01,359 --> 00:18:04,719 Speaker 1: Junior constantly talks about in everything he puts forth. I 283 00:18:04,720 --> 00:18:08,919 Speaker 1: think he mentioned wearables and real time data analysis in 284 00:18:09,000 --> 00:18:14,200 Speaker 1: this eighteen page report like no fewer than like two, three, five, 285 00:18:14,320 --> 00:18:17,240 Speaker 1: seventeen times. I don't remember the exact number, but it 286 00:18:17,359 --> 00:18:19,840 Speaker 1: kept circling it like Okay, I get it, I get it. 287 00:18:19,880 --> 00:18:23,360 Speaker 1: You want everyone to wear wearables. He mentioned that about 288 00:18:23,600 --> 00:18:25,639 Speaker 1: a couple of months ago. He said his goal in 289 00:18:25,680 --> 00:18:28,199 Speaker 1: the next four years is that every American is going 290 00:18:28,280 --> 00:18:32,119 Speaker 1: to be wearing a wearable, and because he's going to 291 00:18:32,200 --> 00:18:36,840 Speaker 1: directly profit off that, anyone who owns a company that's 292 00:18:36,840 --> 00:18:40,480 Speaker 1: dedicated to wearables. And this if the Surgeon General is 293 00:18:40,520 --> 00:18:43,960 Speaker 1: coming out and saying, come on, guys, put on a wearable, 294 00:18:45,000 --> 00:18:47,879 Speaker 1: and my company is right here is where you should 295 00:18:47,880 --> 00:18:51,960 Speaker 1: get it from. Obviously, I think that I'm going to 296 00:18:52,040 --> 00:18:54,200 Speaker 1: imagine this is going to come out in the nomination 297 00:18:54,320 --> 00:18:59,159 Speaker 1: here and this we'll see, I imagine. But to the 298 00:18:59,160 --> 00:19:02,879 Speaker 1: credit of this, I will tell you that many times 299 00:19:02,880 --> 00:19:07,040 Speaker 1: throughout this they have talked about transparency, making sure that 300 00:19:07,040 --> 00:19:11,119 Speaker 1: there are financial disclosures. But you know what, here's the 301 00:19:11,160 --> 00:19:16,399 Speaker 1: thing with financial disclosures. Yes, I'm going to disclose that 302 00:19:16,480 --> 00:19:19,439 Speaker 1: I make money off of this. Well, we're still going 303 00:19:19,480 --> 00:19:23,760 Speaker 1: to do it though. Isn't that still a conflict of interest? Yeah? 304 00:19:23,800 --> 00:19:26,520 Speaker 1: It is. I mean, I think in the Senate confirmation 305 00:19:26,640 --> 00:19:29,320 Speaker 1: hearings of RFK Junior, one of the things was that 306 00:19:29,359 --> 00:19:32,440 Speaker 1: he was involved in some of the lawsuits for the 307 00:19:32,520 --> 00:19:36,640 Speaker 1: vaccine injured and that he still could stand to, I think, 308 00:19:36,760 --> 00:19:40,280 Speaker 1: receive money from some of those lawsuits, and so they're like, well, 309 00:19:40,320 --> 00:19:42,800 Speaker 1: how can you be an unbiased person when it comes 310 00:19:42,800 --> 00:19:47,000 Speaker 1: to vaccines if you're financially gaining from lawsuits against pharmaceutical companies. 311 00:19:47,000 --> 00:19:51,840 Speaker 1: And I think what ended up happening is that he 312 00:19:52,040 --> 00:19:56,240 Speaker 1: transferred that those funds, or those monies like to his son, 313 00:19:58,320 --> 00:20:02,119 Speaker 1: and I I get it. That's great. It's no longer 314 00:20:02,160 --> 00:20:05,400 Speaker 1: going into his bank account, but it's going into his 315 00:20:05,480 --> 00:20:09,760 Speaker 1: son's bank account. This is I have to read up 316 00:20:09,800 --> 00:20:11,960 Speaker 1: on it for the details. I'm not entirely sure about 317 00:20:12,000 --> 00:20:15,920 Speaker 1: those details. But if that's the case, that sounds very 318 00:20:17,080 --> 00:20:20,639 Speaker 1: Biden me with the whole Biden family. And that's what 319 00:20:21,480 --> 00:20:26,040 Speaker 1: conservatives criticize the Biden's of doing over and over and 320 00:20:26,080 --> 00:20:29,080 Speaker 1: over again. But it's just like shuffling money around. So 321 00:20:30,240 --> 00:20:33,280 Speaker 1: we can't say it's okay for one group of people 322 00:20:33,320 --> 00:20:35,520 Speaker 1: to do that and not everyone to do that. And 323 00:20:35,560 --> 00:20:36,960 Speaker 1: I just don't think they should do that. I think 324 00:20:36,960 --> 00:20:39,960 Speaker 1: if you are going to be in these leadership positions, 325 00:20:40,000 --> 00:20:42,920 Speaker 1: I mean, it takes a lot to be a servant 326 00:20:43,160 --> 00:20:45,160 Speaker 1: of the American people, and that's what it is when 327 00:20:45,160 --> 00:20:48,399 Speaker 1: you take these government jobs. You really have to divest 328 00:20:48,440 --> 00:20:51,159 Speaker 1: yourself from these financial gains so that we can believe 329 00:20:51,240 --> 00:20:55,440 Speaker 1: that you are an unbiased person my opinion. You're listening 330 00:20:55,440 --> 00:20:57,800 Speaker 1: to Wellness and Mass. We'll be right back with more. 331 00:21:01,359 --> 00:21:03,680 Speaker 1: All right, I just want to move forward because I've 332 00:21:03,760 --> 00:21:07,800 Speaker 1: just gone off on a total tangent. He certainly talks 333 00:21:07,840 --> 00:21:11,159 Speaker 1: about pesticides, and one of the things he says is, 334 00:21:11,359 --> 00:21:14,000 Speaker 1: you know, again, I would have liked it if it 335 00:21:14,040 --> 00:21:17,880 Speaker 1: stayed in chronological order like foods blah blah blah blah blah. 336 00:21:17,920 --> 00:21:19,280 Speaker 1: But no, we're going to jump all over the place. 337 00:21:19,280 --> 00:21:21,200 Speaker 1: And if it sounds like I'm jumping all over the place, 338 00:21:21,240 --> 00:21:24,399 Speaker 1: that's because this I'm just going blank by line of 339 00:21:24,400 --> 00:21:26,760 Speaker 1: the strategy, and it certainly is jumping all over the place. 340 00:21:27,520 --> 00:21:31,520 Speaker 1: So they talk about cumulative exposure to chemicals most specifically 341 00:21:31,560 --> 00:21:35,000 Speaker 1: like the insecticides, fungicides, pesticides, everything that's on our produce 342 00:21:35,040 --> 00:21:38,320 Speaker 1: and blah blah blah, all of that. Now. RFK Junior 343 00:21:39,040 --> 00:21:42,439 Speaker 1: was way against this during his print when he had 344 00:21:42,480 --> 00:21:45,800 Speaker 1: a presidential campaign and really just said that it has 345 00:21:45,880 --> 00:21:50,880 Speaker 1: to go away. Now this report is essentially just saying 346 00:21:50,880 --> 00:21:52,520 Speaker 1: we're just going to do some more research on it, 347 00:21:52,840 --> 00:21:55,760 Speaker 1: and we're going to do research on how bad this 348 00:21:55,840 --> 00:21:59,840 Speaker 1: may be. We're also going to do research on some alternatives, 349 00:21:59,880 --> 00:22:02,600 Speaker 1: and we're also going to try and make it easier 350 00:22:02,720 --> 00:22:06,560 Speaker 1: for especially small batch farmers to not use some of 351 00:22:06,560 --> 00:22:10,639 Speaker 1: these harmful pesticides. So I think this sounds reasonable. I 352 00:22:10,640 --> 00:22:14,600 Speaker 1: think he's going to be criticized because people are gonna 353 00:22:14,600 --> 00:22:17,000 Speaker 1: be like, no, you said no. Best decides, we got 354 00:22:17,040 --> 00:22:20,919 Speaker 1: to get him out. So but you know, you have 355 00:22:20,960 --> 00:22:24,280 Speaker 1: a big agricultural lab lobby, you have, you know a 356 00:22:24,359 --> 00:22:28,080 Speaker 1: lot of people at the EPA who have done a 357 00:22:28,119 --> 00:22:31,160 Speaker 1: lot of studies on this. Uh. I don't know what's 358 00:22:31,160 --> 00:22:33,000 Speaker 1: going to happen there. I'm sure there's going to be 359 00:22:33,040 --> 00:22:36,239 Speaker 1: some pushback there. But I also think that we have 360 00:22:36,320 --> 00:22:39,320 Speaker 1: to work with our farmers to make sure that we 361 00:22:39,359 --> 00:22:41,640 Speaker 1: are not putting them out of the out of business. 362 00:22:41,640 --> 00:22:44,080 Speaker 1: We also need to make sure that what we're consuming 363 00:22:44,200 --> 00:22:48,600 Speaker 1: is safe for us. Absolutely, there has to be somewhere 364 00:22:48,600 --> 00:22:52,240 Speaker 1: in between. So from there it jumps. We're going to 365 00:22:52,320 --> 00:22:57,720 Speaker 1: now we're jumping to autism because that's how the support reads. Shockingly, 366 00:22:58,280 --> 00:23:03,000 Speaker 1: autism only has two and a half lines. Autism was 367 00:23:03,040 --> 00:23:05,439 Speaker 1: like a huge thing for RFK Junior and then all 368 00:23:05,440 --> 00:23:10,320 Speaker 1: of a sudden, he's like ADHs TUTA is going to 369 00:23:10,359 --> 00:23:15,679 Speaker 1: study root causes of autism, and like that's it. It's like, okay, 370 00:23:16,560 --> 00:23:22,320 Speaker 1: all right, well, could you be more specific because autism 371 00:23:22,440 --> 00:23:26,919 Speaker 1: rates have increased. Yes, I know they've increased because of 372 00:23:27,080 --> 00:23:31,120 Speaker 1: increased diagnostic criteria, but there do seem to be more 373 00:23:31,800 --> 00:23:37,840 Speaker 1: children with autism just from my perspective. So what does 374 00:23:37,840 --> 00:23:39,560 Speaker 1: this mean is he's saying he's just gonna give more 375 00:23:39,560 --> 00:23:43,440 Speaker 1: money to the funding of it, because in what are 376 00:23:43,440 --> 00:23:46,719 Speaker 1: we we had those Like we had an Autism Cares 377 00:23:46,800 --> 00:23:51,000 Speaker 1: Act of twenty fourteen that gave one point three billion 378 00:23:51,080 --> 00:23:57,439 Speaker 1: dollars to autism research twenty nineteen and twenty twenty, between 379 00:23:57,480 --> 00:24:00,399 Speaker 1: federal and private. I think there's about four one hundred 380 00:24:00,400 --> 00:24:04,440 Speaker 1: and twenty four million dollars each year towards autism research. 381 00:24:05,680 --> 00:24:10,240 Speaker 1: You know the government paid about eighty five percent of that. Yeah, 382 00:24:10,320 --> 00:24:16,480 Speaker 1: So no, we've been studying autism. There was the Combating 383 00:24:16,560 --> 00:24:20,440 Speaker 1: Autism Act of two thousand and six that gave nine 384 00:24:20,480 --> 00:24:23,920 Speaker 1: hundred and fifty million dollars. Autism Cares Act of twenty 385 00:24:23,960 --> 00:24:29,920 Speaker 1: fourteen gave one point three billion more dollars. The issue 386 00:24:29,960 --> 00:24:34,680 Speaker 1: is it's not that we don't have funding to study autism. 387 00:24:35,119 --> 00:24:42,240 Speaker 1: It's that we don't necessarily have an idea of what's 388 00:24:42,359 --> 00:24:48,760 Speaker 1: causing it per se, other than environmental exposures, txings, genetics 389 00:24:48,800 --> 00:24:52,959 Speaker 1: and others. So where do we go from here? And 390 00:24:53,119 --> 00:24:55,879 Speaker 1: I think the biggest thing that needs to do is 391 00:24:56,160 --> 00:25:00,280 Speaker 1: you need to have a data person. Vene precise Odd, 392 00:25:00,320 --> 00:25:04,239 Speaker 1: who they have in the FDA, is really good at 393 00:25:04,240 --> 00:25:07,760 Speaker 1: looking at data. He has some socialistic views that I 394 00:25:07,840 --> 00:25:10,439 Speaker 1: disagree with on some of his interpretation of data, but 395 00:25:10,480 --> 00:25:13,480 Speaker 1: he's really good at looking at data. Someone needs to 396 00:25:13,480 --> 00:25:18,520 Speaker 1: look at everything that's been studied on autism and point 397 00:25:18,560 --> 00:25:21,840 Speaker 1: to We need to find out what hasn't been studied, 398 00:25:22,119 --> 00:25:25,560 Speaker 1: if anything, or what conclusions can be drawn. I don't 399 00:25:25,560 --> 00:25:28,960 Speaker 1: think more money needs to be thrown at this. I 400 00:25:29,000 --> 00:25:31,960 Speaker 1: don't think we need to start at zero, but we've 401 00:25:32,000 --> 00:25:36,639 Speaker 1: spent over a billion dollars on it. We need to 402 00:25:36,680 --> 00:25:40,399 Speaker 1: actually sift through the data, throw out the junk, and 403 00:25:40,520 --> 00:25:43,680 Speaker 1: look at what's already been studied and what conclusions could 404 00:25:43,680 --> 00:25:45,280 Speaker 1: we draw. I think that's one of the most important 405 00:25:45,280 --> 00:25:46,600 Speaker 1: things that need to do and we need to have. 406 00:25:46,680 --> 00:25:50,000 Speaker 1: We need to have an autism ZAR, and autisms are 407 00:25:50,680 --> 00:25:53,600 Speaker 1: that's what we need to look at the data we 408 00:25:53,680 --> 00:25:56,840 Speaker 1: have collectively up until this point, figure out if there 409 00:25:56,840 --> 00:26:00,399 Speaker 1: are any conclusions that can be drawn, and try if 410 00:26:00,400 --> 00:26:04,119 Speaker 1: there is a need in any specific area for autism. 411 00:26:04,400 --> 00:26:08,440 Speaker 1: We don't need more money, we need and autisms are 412 00:26:08,680 --> 00:26:11,119 Speaker 1: That's what I'm calling for. It then goes on to 413 00:26:11,240 --> 00:26:14,760 Speaker 1: vaccine injury. No surprise is there. We know RFK Junior 414 00:26:14,840 --> 00:26:16,920 Speaker 1: is talking about that. That's something he's been talking about 415 00:26:16,960 --> 00:26:20,760 Speaker 1: for a very long time. He's definitely going to get 416 00:26:20,760 --> 00:26:23,960 Speaker 1: some heat for this one because nowhere in this does 417 00:26:24,000 --> 00:26:29,359 Speaker 1: it specifically say mRNA which mRNA vaccines are the ones 418 00:26:29,400 --> 00:26:35,320 Speaker 1: that have been heavily disputed with the COVID vaccine. But 419 00:26:36,960 --> 00:26:38,400 Speaker 1: I think a lot of people are going to say, 420 00:26:38,520 --> 00:26:41,639 Speaker 1: but why are you saying mRNA vaccines need to be 421 00:26:41,720 --> 00:26:45,919 Speaker 1: pulled and mRNA research needs to be stopped again, Just 422 00:26:45,960 --> 00:26:49,679 Speaker 1: like autism, the vaccine injury is of only three and 423 00:26:49,680 --> 00:26:52,840 Speaker 1: a half lines. All they said is that they're going 424 00:26:52,880 --> 00:26:57,160 Speaker 1: to investigate vaccine injuries with improved data collection. I don't 425 00:26:57,200 --> 00:27:00,960 Speaker 1: really know what that means, but I will say that 426 00:27:00,960 --> 00:27:04,400 Speaker 1: that's a good idea because the current system, the VARs program, 427 00:27:04,640 --> 00:27:09,240 Speaker 1: is a lot of it's just self reported. While there's 428 00:27:09,480 --> 00:27:12,320 Speaker 1: helps in the sense that it can show some safety signals, 429 00:27:13,359 --> 00:27:14,840 Speaker 1: you know, if a lot of people are reporting the 430 00:27:14,880 --> 00:27:18,240 Speaker 1: same thing from happening, it can also be confounded with 431 00:27:18,440 --> 00:27:23,040 Speaker 1: a lot of erroneous information that you know, people are saying, well, 432 00:27:23,080 --> 00:27:25,000 Speaker 1: I think this caused it, but it really didn't cause 433 00:27:25,040 --> 00:27:27,920 Speaker 1: it at all. And so not only does it take 434 00:27:27,960 --> 00:27:30,800 Speaker 1: time away from people who are evaluating the var's data, 435 00:27:30,960 --> 00:27:35,120 Speaker 1: but it really for other people who are having more 436 00:27:35,200 --> 00:27:38,720 Speaker 1: rare side effects, it kind of gets drowned out or 437 00:27:38,760 --> 00:27:42,040 Speaker 1: diluted amongst a lot of information. So I absolutely agree 438 00:27:42,040 --> 00:27:45,560 Speaker 1: with an improved data collection and analysis. I know that 439 00:27:45,680 --> 00:27:48,320 Speaker 1: RF Junior has already talked about ramping up the new 440 00:27:48,400 --> 00:27:54,600 Speaker 1: vaccine injury research program and the compensation models. COVID vaccine 441 00:27:54,680 --> 00:27:59,960 Speaker 1: injuries are currently still funded differently than the other vaccine injuries. 442 00:28:00,160 --> 00:28:05,080 Speaker 1: COVID vaccines should be lumped into that. I personally believe 443 00:28:05,240 --> 00:28:08,760 Speaker 1: that the COVID vaccines as well as other vaccines, should 444 00:28:08,800 --> 00:28:11,680 Speaker 1: be coming with black box warnings with some of their 445 00:28:12,880 --> 00:28:15,439 Speaker 1: side effects. You know, one of the biggest things that 446 00:28:15,440 --> 00:28:18,920 Speaker 1: bothered me about the COVID vaccines early on, we were 447 00:28:18,920 --> 00:28:22,959 Speaker 1: told in the data was that it was, you know, 448 00:28:23,080 --> 00:28:27,840 Speaker 1: extremely efficacious, over ninety five percent, over ninety seven percent, excellent, 449 00:28:29,600 --> 00:28:32,919 Speaker 1: and that it was stopping transmission. So the moment that 450 00:28:32,960 --> 00:28:36,200 Speaker 1: they knew it wasn't stopping transmission, the moment became obvious 451 00:28:37,359 --> 00:28:40,760 Speaker 1: that we were having so many breakthrough cases. That's when 452 00:28:41,080 --> 00:28:45,880 Speaker 1: you know, the thought of, or the conversation around mandating 453 00:28:45,880 --> 00:28:48,040 Speaker 1: people to have these to slow the spread or stop 454 00:28:48,040 --> 00:28:50,200 Speaker 1: the spread was like, obviously, well that's not going to work. 455 00:28:50,520 --> 00:28:55,000 Speaker 1: But the mandates continued, and then they continued going down, down, down, 456 00:28:55,640 --> 00:28:58,680 Speaker 1: down to adolescents, down to kids, and even without any 457 00:28:58,760 --> 00:29:01,760 Speaker 1: reports of side effect, that just made no sense to me. 458 00:29:02,280 --> 00:29:06,080 Speaker 1: It was plain to see, plain as day that children 459 00:29:06,160 --> 00:29:09,840 Speaker 1: were the least at risk. And so I started writing 460 00:29:09,840 --> 00:29:12,920 Speaker 1: a lot on foxnews dot com and speaking about it 461 00:29:12,960 --> 00:29:15,600 Speaker 1: on TV and social media about like, we need to 462 00:29:15,600 --> 00:29:18,320 Speaker 1: pump the brakes, don't I'm not sure we should be 463 00:29:18,400 --> 00:29:21,880 Speaker 1: vaccinating the children. Then the safety signals started coming because 464 00:29:21,880 --> 00:29:25,240 Speaker 1: people were vaccinating the children because colleges and everywhere else 465 00:29:25,360 --> 00:29:29,080 Speaker 1: was mandating it milecarditis and everything else. And listen, I'm 466 00:29:29,120 --> 00:29:31,600 Speaker 1: a mom of three boys. They were seeing it in 467 00:29:32,120 --> 00:29:38,040 Speaker 1: younger men, younger boys. I was like absolutely not. I 468 00:29:38,120 --> 00:29:40,040 Speaker 1: know that they're going to do a deep dive into 469 00:29:40,080 --> 00:29:43,520 Speaker 1: what happened there, at least I hope. So why we 470 00:29:43,520 --> 00:29:46,360 Speaker 1: weren't given that information, why we're shielded from it? Israel 471 00:29:46,440 --> 00:29:50,400 Speaker 1: had the information, But at this point, I think that 472 00:29:50,520 --> 00:29:54,720 Speaker 1: the warnings need to be on the box in big letters. 473 00:29:55,560 --> 00:29:58,640 Speaker 1: This can be dangerous for your children. But the problem 474 00:29:58,720 --> 00:30:01,640 Speaker 1: is if those blackbot weren't black box warnings are on 475 00:30:01,720 --> 00:30:05,440 Speaker 1: the box for vaccines, the parents and the kids are 476 00:30:05,440 --> 00:30:10,040 Speaker 1: not seeing those boxes. They're just in the pediatrician's office 477 00:30:10,160 --> 00:30:13,160 Speaker 1: or in the CBS or wherever, and they're just like, Okay, 478 00:30:13,280 --> 00:30:16,880 Speaker 1: let's see your COVID shot. You may be sore afterwards, 479 00:30:17,680 --> 00:30:20,280 Speaker 1: and you may have a heartache afterwards, but they don't 480 00:30:20,320 --> 00:30:26,200 Speaker 1: talk much about that. Moving on, he talks about this. 481 00:30:26,400 --> 00:30:29,480 Speaker 1: Actually I found really funny, hope to figure out he 482 00:30:29,560 --> 00:30:33,560 Speaker 1: has two separate things, like ten pages apart, where we're 483 00:30:33,560 --> 00:30:38,840 Speaker 1: talking about the dental, oral hygiene, oral hygiene of children, 484 00:30:39,200 --> 00:30:43,120 Speaker 1: which is excellent. We are huge proponents of oral hygiene 485 00:30:43,160 --> 00:30:45,080 Speaker 1: here in the Snapphire house. I think we brush our 486 00:30:45,120 --> 00:30:47,680 Speaker 1: teeth multiple times a day. But in one of it, 487 00:30:47,680 --> 00:30:50,120 Speaker 1: he's like, we are going to explore the fact that 488 00:30:50,240 --> 00:30:54,320 Speaker 1: kids are still having cavities and bad oral hygiene, and 489 00:30:54,440 --> 00:30:57,200 Speaker 1: how this is affecting gut health, because as we know, 490 00:30:57,720 --> 00:31:00,880 Speaker 1: gut health affects your entire body. Talk about cut health 491 00:31:00,920 --> 00:31:03,800 Speaker 1: all the time. My kids aren't mortified because I talk 492 00:31:03,840 --> 00:31:07,360 Speaker 1: about gut a lot. So he's on this whole thing 493 00:31:07,480 --> 00:31:09,840 Speaker 1: about we have to we have to do something about 494 00:31:09,880 --> 00:31:12,880 Speaker 1: these cavities and these kids that's affecting their gut health. 495 00:31:13,280 --> 00:31:16,120 Speaker 1: And then they're like, by the way, we got to 496 00:31:16,240 --> 00:31:19,840 Speaker 1: keep reviewing the health risks of fluoride and drinking water 497 00:31:19,960 --> 00:31:24,440 Speaker 1: because we might take it out. Okay, he doesn't actually 498 00:31:24,440 --> 00:31:26,600 Speaker 1: say they're going to take it out, but because of 499 00:31:26,680 --> 00:31:30,280 Speaker 1: comments he's made, states are already trying to remove fluoride 500 00:31:30,280 --> 00:31:36,400 Speaker 1: from drinking water. Now. Okay, adding fluoride to drinking water 501 00:31:36,680 --> 00:31:40,440 Speaker 1: has decreased cavities over the last century by like sixty 502 00:31:40,480 --> 00:31:44,680 Speaker 1: to eighty percent. Well, because we didn't have fluoride toothpaste 503 00:31:44,720 --> 00:31:47,000 Speaker 1: back in the day and people weren't really brushing their 504 00:31:47,040 --> 00:31:50,120 Speaker 1: teeth back in the day. But even still, the CDC 505 00:31:50,280 --> 00:31:54,040 Speaker 1: points to data that's saying twenty five percent of cavities 506 00:31:54,120 --> 00:31:59,560 Speaker 1: in kids and adults are still decreased because of fluoride 507 00:31:59,560 --> 00:32:03,040 Speaker 1: and drinking water. Here's where I get a little concerned. 508 00:32:03,680 --> 00:32:07,080 Speaker 1: If you look at the data on fluoride and drinking water, 509 00:32:07,240 --> 00:32:09,560 Speaker 1: and of course I don't have all these numbers in 510 00:32:09,560 --> 00:32:11,680 Speaker 1: front of me right now, but I studied this for 511 00:32:11,760 --> 00:32:15,480 Speaker 1: a TV segment. I did they have a limit because 512 00:32:15,600 --> 00:32:20,960 Speaker 1: above a certain limit, there are consequences of those doses 513 00:32:21,000 --> 00:32:25,040 Speaker 1: of fluoride. There's consequences when it comes to brain health 514 00:32:25,360 --> 00:32:28,440 Speaker 1: and some other things, brain and bones. We're just going 515 00:32:28,480 --> 00:32:30,000 Speaker 1: to leave it at that, okay, because this is not 516 00:32:30,080 --> 00:32:34,600 Speaker 1: an overly medical discussion. It can affect the brain and bones, 517 00:32:34,680 --> 00:32:39,720 Speaker 1: especially in young kids. So that you know you have limits. 518 00:32:39,760 --> 00:32:43,000 Speaker 1: You're like, you can't have this above this in your 519 00:32:43,080 --> 00:32:45,640 Speaker 1: drinking water. Well, I was looking at the numbers in 520 00:32:45,720 --> 00:32:47,720 Speaker 1: New Jersey, and again I'm just going to give some 521 00:32:47,800 --> 00:32:49,800 Speaker 1: random numbers because I didn't have it in front of me. 522 00:32:50,480 --> 00:32:54,360 Speaker 1: But if at one point six it can affect your 523 00:32:54,400 --> 00:32:57,600 Speaker 1: brain and bones, New Jersey is like, all right, we 524 00:32:57,760 --> 00:33:01,760 Speaker 1: can't go over one point too, just can't do it 525 00:33:02,440 --> 00:33:07,080 Speaker 1: too close to one point six. Well, New Jerseys at 526 00:33:07,480 --> 00:33:10,640 Speaker 1: literally at like one point two, like really, you really 527 00:33:10,680 --> 00:33:14,040 Speaker 1: are pushing that upper limit there? And so on, top 528 00:33:14,080 --> 00:33:16,400 Speaker 1: of that, it's like, Okay, it's in the drinking water, 529 00:33:16,560 --> 00:33:19,800 Speaker 1: But then we're also using fluoride toothpaste, and maybe we 530 00:33:19,880 --> 00:33:22,680 Speaker 1: have fluoride and mouth wash and all of these other things. 531 00:33:23,200 --> 00:33:27,080 Speaker 1: So undoubtedly there are people out there getting too much fluoride, 532 00:33:27,120 --> 00:33:29,880 Speaker 1: and maybe this really is contributing. Maybe people drink a 533 00:33:29,920 --> 00:33:33,120 Speaker 1: lot of drinking water, Maybe this is contributing to some 534 00:33:33,200 --> 00:33:35,040 Speaker 1: of the issues that we're seeing when it comes to 535 00:33:36,000 --> 00:33:41,160 Speaker 1: brain health, especially in kids. My concern about removing fluoride 536 00:33:41,520 --> 00:33:45,240 Speaker 1: in total from drinking water is specifically in the rural 537 00:33:45,280 --> 00:33:50,640 Speaker 1: areas and underserved areas that maybe they don't have the 538 00:33:50,680 --> 00:33:54,600 Speaker 1: same access to going to see a dentist, or they're 539 00:33:54,600 --> 00:34:00,360 Speaker 1: not brushing their teeth twice a day. So I don't 540 00:34:00,360 --> 00:34:02,760 Speaker 1: know how I feel about removing fluoride in total, but 541 00:34:02,880 --> 00:34:06,440 Speaker 1: I think maybe we should consider reevaluating those levels. But 542 00:34:06,800 --> 00:34:12,200 Speaker 1: speaking of drinking water, moving on, in this report, they 543 00:34:12,239 --> 00:34:17,560 Speaker 1: also talked about the levels of pharmaceutical in our water supply. 544 00:34:17,880 --> 00:34:21,960 Speaker 1: I bet you didn't know this. This is actually quite 545 00:34:22,239 --> 00:34:27,400 Speaker 1: astonishing and it's not new. What is it two thousand 546 00:34:27,440 --> 00:34:31,600 Speaker 1: and two, there was like this geological survey that showed 547 00:34:31,719 --> 00:34:37,800 Speaker 1: like eighty percent of sampled streams across thirty states contained 548 00:34:37,880 --> 00:34:42,600 Speaker 1: detectable pharmaceutical compounds ranging from you know, over the counter 549 00:34:42,680 --> 00:34:51,080 Speaker 1: medications like motrin, said two, hormones, detergents, fire returnants, antibiotics, 550 00:34:51,080 --> 00:34:56,000 Speaker 1: and prescription drugs. Then the Associated Press did an investigation 551 00:34:56,080 --> 00:34:58,239 Speaker 1: of this in two thousand and eight and they also 552 00:34:58,440 --> 00:35:03,440 Speaker 1: detected trace levels of very pharmaceuticals including painkillers, antibiotics and 553 00:35:03,520 --> 00:35:07,719 Speaker 1: I seizure meds, antidepressants, hard medication, sex hormones, and steroids 554 00:35:08,040 --> 00:35:11,880 Speaker 1: in the drinking water of twenty four major metropolitan areas 555 00:35:11,920 --> 00:35:17,239 Speaker 1: that would impact at least forty one million Americans. Well, 556 00:35:17,280 --> 00:35:22,120 Speaker 1: that seems bad. Could you imagine? We already know that 557 00:35:22,160 --> 00:35:27,600 Speaker 1: there is documented ecological impact of our medications or whatnot 558 00:35:27,800 --> 00:35:32,520 Speaker 1: in water. There was some study that they showed that 559 00:35:32,680 --> 00:35:37,360 Speaker 1: fish that were exposed to estrogenic compounds, meaning estrogen in 560 00:35:37,400 --> 00:35:40,279 Speaker 1: the drinking water, which I just told you in that 561 00:35:41,520 --> 00:35:46,680 Speaker 1: Associated Press showed that who was there in these fish? 562 00:35:47,239 --> 00:35:54,040 Speaker 1: They showed feminization like they were undergoing trans transformation. And 563 00:35:54,080 --> 00:35:57,960 Speaker 1: they also had propranolol, which is a beta blocker which 564 00:35:58,000 --> 00:36:04,960 Speaker 1: slows your heart rate, and all these affected their reproduction. Hello, 565 00:36:05,680 --> 00:36:08,040 Speaker 1: we have a reproduction issue. Here in the United States too, 566 00:36:08,120 --> 00:36:11,400 Speaker 1: And it's not just because people aren't going to bed together. 567 00:36:11,520 --> 00:36:17,480 Speaker 1: It's because we have more infertility than ever before. Puberty 568 00:36:18,000 --> 00:36:21,120 Speaker 1: ages are changing, and I pointed to this, saying, in 569 00:36:21,280 --> 00:36:23,680 Speaker 1: the things we eat, the waters we drink, all of 570 00:36:23,719 --> 00:36:26,920 Speaker 1: this is affecting us because there's foremones, there's steroids, there's 571 00:36:26,920 --> 00:36:29,480 Speaker 1: all this stuff in here. So they're saying, we're going 572 00:36:29,520 --> 00:36:31,879 Speaker 1: to look at that. You know what, bye gosh. I 573 00:36:31,920 --> 00:36:33,840 Speaker 1: agree with that. They don't say how are we going 574 00:36:33,920 --> 00:36:36,160 Speaker 1: to look at it, but they're bringing it up. And 575 00:36:36,200 --> 00:36:39,839 Speaker 1: I appreciate that. We talk about air quality, making sure 576 00:36:39,920 --> 00:36:44,480 Speaker 1: that pollution level is okay, which we know it's not, 577 00:36:44,760 --> 00:36:48,080 Speaker 1: but that's okay, We're gonna They literally just said they're 578 00:36:48,080 --> 00:36:51,239 Speaker 1: going to study the air quality impacts on children's health. 579 00:36:53,200 --> 00:36:57,200 Speaker 1: I'm gonna go with the air quality is negatively impacting 580 00:36:57,200 --> 00:37:01,600 Speaker 1: our children's health. You're welcome, no grant needed. Now, what 581 00:37:01,640 --> 00:37:05,759 Speaker 1: are you going to do about it? Microplastics, synthetics, same thing, 582 00:37:06,640 --> 00:37:10,480 Speaker 1: We're going to study it. Yeah, we've already had research 583 00:37:10,520 --> 00:37:14,560 Speaker 1: that shows microplastics in people's brains. I don't think we 584 00:37:14,680 --> 00:37:18,680 Speaker 1: need more money and time spent on the to say 585 00:37:18,719 --> 00:37:21,040 Speaker 1: you know what, microplastics in our body is not good 586 00:37:21,120 --> 00:37:23,960 Speaker 1: for us. We know what are you going to do 587 00:37:23,960 --> 00:37:27,440 Speaker 1: about it? Then they go on to like the whole 588 00:37:27,480 --> 00:37:30,640 Speaker 1: prescribing patterns and mental illness, and that was that fourth 589 00:37:30,640 --> 00:37:32,520 Speaker 1: thing that they talked about, the fact that they think 590 00:37:32,600 --> 00:37:37,880 Speaker 1: that kids are being overprescribed medications. It seems like there 591 00:37:37,880 --> 00:37:40,160 Speaker 1: are a lot of kids on adder all these days. Now. 592 00:37:40,360 --> 00:37:42,680 Speaker 1: Is it the chicken or the egg phenomenon? Do more 593 00:37:42,760 --> 00:37:49,160 Speaker 1: kids have attention deficit disorder hyperactivity disorder and so they're 594 00:37:49,160 --> 00:37:53,600 Speaker 1: requiring the medications or are we over prescribing medications? Well, 595 00:37:53,640 --> 00:37:55,960 Speaker 1: I think it's a little bit of both. I think 596 00:37:56,080 --> 00:38:02,920 Speaker 1: that physicians, parents, teachers, there's they've just kind of broken 597 00:38:03,000 --> 00:38:06,680 Speaker 1: that red tape of prescribing children medications these days. It 598 00:38:06,760 --> 00:38:11,680 Speaker 1: is what once used to be stigmatized, and you do 599 00:38:11,719 --> 00:38:14,520 Speaker 1: want to get away from stigma when it comes to 600 00:38:14,640 --> 00:38:18,640 Speaker 1: treating especially children. But I do think that, you know, 601 00:38:19,560 --> 00:38:22,839 Speaker 1: the barrier for treating has just really been broken down 602 00:38:22,840 --> 00:38:26,040 Speaker 1: a little bit too much now, that is my opinion. 603 00:38:27,000 --> 00:38:30,160 Speaker 1: So they talk about prescribing patterns and impact on mental health. 604 00:38:31,239 --> 00:38:35,600 Speaker 1: Here's something that I don't like about this. They say, 605 00:38:36,200 --> 00:38:42,840 Speaker 1: we are going to consider prior authorizations, like increasing prior 606 00:38:42,880 --> 00:38:48,320 Speaker 1: authorizations of this to maybe combat over prescribing. Oh good god, no, 607 00:38:48,400 --> 00:38:53,520 Speaker 1: please don't. Okay from every doctor everywhere. The last thing 608 00:38:53,600 --> 00:38:58,680 Speaker 1: we need are more prior authorizations. Okay. A psychiatrist who's 609 00:38:58,719 --> 00:39:02,720 Speaker 1: been in business for decades, it's doesn't need a nurse 610 00:39:03,280 --> 00:39:08,560 Speaker 1: who never did a psychiatry rotation deciding whether or not 611 00:39:09,520 --> 00:39:14,239 Speaker 1: that patient needs the medication. Okay, Especially because these prior 612 00:39:14,280 --> 00:39:17,200 Speaker 1: authorizations are done by the insurance company, and all the 613 00:39:17,239 --> 00:39:20,760 Speaker 1: insurance company cares about is saving money. They will spend 614 00:39:21,200 --> 00:39:25,600 Speaker 1: more money hiring people to do these prior authorizations because 615 00:39:25,600 --> 00:39:28,120 Speaker 1: they don't want to commit to paying for that medication. 616 00:39:28,880 --> 00:39:32,719 Speaker 1: Is it is awful as a physician dealing with insurance 617 00:39:32,719 --> 00:39:36,640 Speaker 1: companies and prior authorizations. I don't like that that was 618 00:39:36,680 --> 00:39:38,919 Speaker 1: included in here that I'm going to go with. Maybe 619 00:39:39,000 --> 00:39:43,120 Speaker 1: chat GPT wrote that because no medical professional would write that, 620 00:39:43,480 --> 00:39:48,120 Speaker 1: because that is stupid. I'm going to just hope that 621 00:39:48,120 --> 00:39:51,800 Speaker 1: that's just not going to happen. I was just wishful 622 00:39:51,800 --> 00:39:54,640 Speaker 1: thinking on my part, But who am I to say? More? 623 00:39:54,680 --> 00:40:01,520 Speaker 1: Coming up on Wellness Unmasked with doctor Nicole Saffhire, looking 624 00:40:01,600 --> 00:40:04,680 Speaker 1: at how are we going to get healthy foods to kids. 625 00:40:04,800 --> 00:40:07,840 Speaker 1: And I love it because they're talking about removing junk 626 00:40:07,840 --> 00:40:10,160 Speaker 1: food from snap. We heard that a few weeks ago 627 00:40:10,440 --> 00:40:12,799 Speaker 1: from the food stamps programs, you know, making sure it's 628 00:40:12,840 --> 00:40:15,719 Speaker 1: not covering soda and some of these unhealthy foods. But 629 00:40:15,760 --> 00:40:19,080 Speaker 1: my criticism of that was great, you're removing these foods. 630 00:40:19,200 --> 00:40:22,239 Speaker 1: How are you getting healthy foods to these kids? That's 631 00:40:22,280 --> 00:40:24,440 Speaker 1: one thing that's actually in this report. Now there are 632 00:40:24,440 --> 00:40:28,400 Speaker 1: no details, but they have some good I mean I 633 00:40:28,440 --> 00:40:31,680 Speaker 1: say they have some good ideas. These are not novel ideas, 634 00:40:31,719 --> 00:40:34,480 Speaker 1: but at least they're they're looking into it. It's a 635 00:40:34,520 --> 00:40:36,520 Speaker 1: step in the right direction. I wrote it in my 636 00:40:36,560 --> 00:40:40,280 Speaker 1: book five years ago. I could saved you some time 637 00:40:40,360 --> 00:40:43,319 Speaker 1: and money of writing this little report thingy if you 638 00:40:43,360 --> 00:40:45,960 Speaker 1: wanted to just read that. But it's okay. I like that. 639 00:40:46,000 --> 00:40:51,279 Speaker 1: You're talking about incentivizing, incentivizing grocery stores to go to 640 00:40:51,560 --> 00:40:55,480 Speaker 1: underserved areas where we have food deserts, talking about bringing 641 00:40:55,480 --> 00:40:59,480 Speaker 1: healthy foods in these Maha boxes of healthy food for 642 00:40:59,760 --> 00:41:02,879 Speaker 1: snow recipients. All good things. Love it, thank you. I'm 643 00:41:03,000 --> 00:41:08,720 Speaker 1: very happy to see it. They bring up briefly childhood cancer, 644 00:41:08,880 --> 00:41:11,600 Speaker 1: which does not fit in here at all. Again, this 645 00:41:11,640 --> 00:41:14,600 Speaker 1: really does read like chat GPT may have been a 646 00:41:14,640 --> 00:41:17,839 Speaker 1: big assist on this. It just says childhood cancer and AI. 647 00:41:19,440 --> 00:41:22,760 Speaker 1: They were just going to develop an AI driven approach 648 00:41:22,880 --> 00:41:25,520 Speaker 1: to harness the data and the tech. All right, cool. 649 00:41:26,320 --> 00:41:30,759 Speaker 1: I'm more concerned about the childhood cancer rates. What are 650 00:41:30,800 --> 00:41:33,680 Speaker 1: we going to do? And what's interesting that they didn't 651 00:41:33,719 --> 00:41:37,880 Speaker 1: mention here is the right to try legislation, because I 652 00:41:37,920 --> 00:41:41,120 Speaker 1: can tell you when we talk about childhood cancer, you 653 00:41:41,239 --> 00:41:43,319 Speaker 1: have to talk about the ability to write to try. 654 00:41:43,480 --> 00:41:45,239 Speaker 1: And there is just a big shake up at the 655 00:41:45,320 --> 00:41:48,680 Speaker 1: FDA because they didn't approve a medication and maybe it's 656 00:41:48,719 --> 00:41:51,360 Speaker 1: because that medication seemed to be quite dangerous for children 657 00:41:51,520 --> 00:41:54,640 Speaker 1: and didn't really seem to work. But they were heavily 658 00:41:54,680 --> 00:41:58,480 Speaker 1: criticized because President Trump has always been a supporter for 659 00:41:58,600 --> 00:42:02,000 Speaker 1: right to try medication those medications where you have a 660 00:42:02,080 --> 00:42:06,400 Speaker 1: rare disease and there's medications that aren't really proven safe 661 00:42:06,680 --> 00:42:09,200 Speaker 1: or efficacious at all. But the company is like, well, 662 00:42:09,200 --> 00:42:13,440 Speaker 1: I might as well just try. That's what right to tries. 663 00:42:14,040 --> 00:42:16,640 Speaker 1: And so I'm surprised that they didn't mention that, but 664 00:42:17,080 --> 00:42:19,399 Speaker 1: I guess I'm not surprised they talk about something that's 665 00:42:19,440 --> 00:42:21,799 Speaker 1: interesting that they want to harness the data from the 666 00:42:21,880 --> 00:42:26,719 Speaker 1: VA for kids to look essentially at a data sharing plan. 667 00:42:27,520 --> 00:42:31,560 Speaker 1: They're saying that they're going to exclude personally identifiable information, 668 00:42:31,880 --> 00:42:35,000 Speaker 1: you know, protecting patients privacy. But I don't know, this 669 00:42:35,120 --> 00:42:38,239 Speaker 1: sounds a little if any of these people who are 670 00:42:38,360 --> 00:42:42,680 Speaker 1: about you know, consent and they care about their privacy, 671 00:42:43,640 --> 00:42:46,239 Speaker 1: they might be a little concerned about how this is 672 00:42:46,880 --> 00:42:49,640 Speaker 1: going to be used. Well, of course, we always have 673 00:42:49,680 --> 00:42:52,800 Speaker 1: a concern about that and making sure it's not negatively 674 00:42:52,880 --> 00:42:55,799 Speaker 1: used against them, because insurance companies love to use things 675 00:42:55,800 --> 00:43:01,400 Speaker 1: against people. All of a sudden, you see artificial intelligence again, 676 00:43:01,600 --> 00:43:05,400 Speaker 1: and oh, what's that? Yep, talking about real time monitoring 677 00:43:05,480 --> 00:43:10,399 Speaker 1: with AI. What does that sound like? Wearables? Wearables and 678 00:43:11,440 --> 00:43:16,279 Speaker 1: platform digital platforms sound familiar? And honestly, that's about it. 679 00:43:16,320 --> 00:43:21,000 Speaker 1: They also mentioned infant formula, looking into it, wanting to 680 00:43:21,040 --> 00:43:23,440 Speaker 1: be more aligned with like the European way, which is 681 00:43:23,560 --> 00:43:26,799 Speaker 1: much healthier that our infant formula here in the United 682 00:43:26,840 --> 00:43:30,719 Speaker 1: States is completely antiquated. It is unhealthy. Despite that, they 683 00:43:30,760 --> 00:43:32,840 Speaker 1: love to say, oh, it's as good as breast milk. 684 00:43:33,360 --> 00:43:36,479 Speaker 1: Absolutely not. Breast is best, and you know, what God 685 00:43:36,520 --> 00:43:39,839 Speaker 1: bless this report because they say that kind of They 686 00:43:39,920 --> 00:43:42,160 Speaker 1: essentially say we're going to do everything that we can 687 00:43:42,280 --> 00:43:45,640 Speaker 1: to try to increase breastfeeding rates here in the United States, 688 00:43:45,719 --> 00:43:49,520 Speaker 1: and I am like, awesome, I am all for this 689 00:43:50,480 --> 00:43:55,680 Speaker 1: and imagine they will. The last major thing I want 690 00:43:55,719 --> 00:43:58,480 Speaker 1: to touch on is that they mentioned the dietary guidelines 691 00:43:58,560 --> 00:44:03,680 Speaker 1: for Americans. This is essentially they are going to replace 692 00:44:03,880 --> 00:44:07,080 Speaker 1: that stupid food pyramid that we've been looking at for 693 00:44:07,120 --> 00:44:10,400 Speaker 1: a few decades, because the reality is that food pyramid 694 00:44:10,520 --> 00:44:14,520 Speaker 1: is so wrong. While when it was made, it sounded 695 00:44:14,920 --> 00:44:18,879 Speaker 1: good in theory, you know, to have whole grains, but unfortunately, 696 00:44:18,920 --> 00:44:21,160 Speaker 1: our whole grains that all of us tend to eat 697 00:44:21,200 --> 00:44:24,680 Speaker 1: are these super ultra processed foods that turn into nothing 698 00:44:24,719 --> 00:44:27,239 Speaker 1: but sugar and crap in our bodies, so hence why 699 00:44:27,320 --> 00:44:30,400 Speaker 1: we're kind of fat and have a lot of inflation. 700 00:44:30,600 --> 00:44:33,000 Speaker 1: So they're going to do it. They haven't put it 701 00:44:33,000 --> 00:44:37,600 Speaker 1: out yet. When I had talked to doctor Marty McCay, 702 00:44:37,840 --> 00:44:40,359 Speaker 1: the new FDA commissioner, he had mentioned this was coming 703 00:44:40,360 --> 00:44:42,560 Speaker 1: down the pipe and was really excited about it. And 704 00:44:42,640 --> 00:44:46,600 Speaker 1: I am also really excited about it. So we will 705 00:44:46,600 --> 00:44:51,719 Speaker 1: see this as well. Oh, one more interesting note. They 706 00:44:51,760 --> 00:44:53,960 Speaker 1: say that they're going to limit the direct marketing of 707 00:44:54,040 --> 00:44:57,440 Speaker 1: certain foods to children. You know how if you turn 708 00:44:57,520 --> 00:45:00,719 Speaker 1: on the TV or social media, like bright color candies 709 00:45:00,760 --> 00:45:04,160 Speaker 1: and cereals and sodas and whatever it is to try 710 00:45:04,200 --> 00:45:08,840 Speaker 1: and get kids attention. They're going to limit that. But interestingly, 711 00:45:09,280 --> 00:45:13,200 Speaker 1: you know what they say about the whole direct to 712 00:45:13,320 --> 00:45:18,759 Speaker 1: consumer when it comes to pharmaceuticals. We're just going to 713 00:45:18,840 --> 00:45:22,600 Speaker 1: increase our oversight. We're going to increase our oversight on that. 714 00:45:23,160 --> 00:45:26,880 Speaker 1: Don't you remember when RFK Junior was running for president, 715 00:45:26,960 --> 00:45:29,879 Speaker 1: he was like, oh, it's bad, we have to get 716 00:45:29,960 --> 00:45:32,279 Speaker 1: rid of directric consumer. It's something we're going to do. 717 00:45:32,440 --> 00:45:36,560 Speaker 1: And I was like, yeah, let's get those stupid pharmaceutical 718 00:45:36,640 --> 00:45:39,480 Speaker 1: ads off the TV because the last thing my kids 719 00:45:39,520 --> 00:45:43,480 Speaker 1: need to see are the anti HIV meds and talking 720 00:45:43,520 --> 00:45:46,200 Speaker 1: about well it can cause this is this is this 721 00:45:46,239 --> 00:45:49,239 Speaker 1: is this is this. My kids are like mortified when 722 00:45:49,280 --> 00:45:53,520 Speaker 1: they see this, like let's go no, no, that's not happening. 723 00:45:54,200 --> 00:45:57,800 Speaker 1: I know, big pharma, huge lobbyist. That was wishful thinking. 724 00:45:58,320 --> 00:45:59,839 Speaker 1: I mean they pay a lot of money, a lot 725 00:45:59,880 --> 00:46:05,200 Speaker 1: of people benefit from pharmaceutical ads. I get it. I 726 00:46:05,239 --> 00:46:08,080 Speaker 1: get it. But so they say they're going to increase 727 00:46:08,120 --> 00:46:13,120 Speaker 1: oversight and enforcement, So they essentially say if they break 728 00:46:13,160 --> 00:46:17,719 Speaker 1: any of their rules, that more penalties. Maybe. Then they 729 00:46:17,760 --> 00:46:22,279 Speaker 1: also say they're going to make sure they may increase 730 00:46:23,440 --> 00:46:27,160 Speaker 1: the risks lists. I mean, have you seen one of 731 00:46:27,160 --> 00:46:34,839 Speaker 1: these pharmaceutical ads they're so you may get and we're 732 00:46:34,840 --> 00:46:38,239 Speaker 1: going to go even longer. Okay, I think I'll have 733 00:46:38,239 --> 00:46:42,399 Speaker 1: to stop watching television. At that point, they go into 734 00:46:42,400 --> 00:46:44,840 Speaker 1: a bunch of more other things. They say that medical 735 00:46:44,920 --> 00:46:48,239 Speaker 1: school they should have classes on nutrition. Cool. I didn't 736 00:46:48,239 --> 00:46:50,279 Speaker 1: have one in medical school. I think it's a good idea. 737 00:46:50,360 --> 00:46:52,920 Speaker 1: Nothing wrong with that. They talk about the whole presidential 738 00:46:52,920 --> 00:47:00,279 Speaker 1: fitness test. Great, get kids moving again, and that's really it, 739 00:47:00,520 --> 00:47:05,160 Speaker 1: and so oh they talk about, oh, one of the 740 00:47:05,200 --> 00:47:08,360 Speaker 1: things that they do say for all of this, to 741 00:47:08,440 --> 00:47:12,080 Speaker 1: make sure that people are healthier, specifically those on Medicaid, 742 00:47:12,200 --> 00:47:17,040 Speaker 1: which is the government funded healthcare, they're going to be 743 00:47:17,160 --> 00:47:21,479 Speaker 1: using fitness indicators. And they gave an example of which 744 00:47:21,520 --> 00:47:24,240 Speaker 1: fitness indicator. It was going to be VO two max, 745 00:47:24,280 --> 00:47:27,920 Speaker 1: which is essentially showing how well your cardiovascular system is working. 746 00:47:28,440 --> 00:47:31,520 Speaker 1: What do you think monitors that do you think everyone's 747 00:47:31,520 --> 00:47:32,920 Speaker 1: going to go to the doctor to get their VIA 748 00:47:33,040 --> 00:47:36,480 Speaker 1: two checked every now and then. No, do you know 749 00:47:36,520 --> 00:47:42,560 Speaker 1: what can monitor that? Yep, you guessed it. Oh, wearable. 750 00:47:42,920 --> 00:47:47,160 Speaker 1: I digress anyway, So that's about it. There's a lot 751 00:47:47,160 --> 00:47:51,759 Speaker 1: of other things in here, deregulating small businesses, especially for 752 00:47:51,840 --> 00:47:55,080 Speaker 1: small farms. I hope they expand that to like the 753 00:47:55,120 --> 00:47:59,400 Speaker 1: small businesses that make shampoos and soaps, because for whatever reason, 754 00:47:59,440 --> 00:48:02,359 Speaker 1: shampoo and soap is under the FDA, and when you 755 00:48:02,400 --> 00:48:05,280 Speaker 1: have these small businesses, they are just crushed by the FDA. 756 00:48:05,440 --> 00:48:07,880 Speaker 1: So I really hope they do regulate some of that. 757 00:48:07,880 --> 00:48:11,040 Speaker 1: That's not specifically mentioned in here, but I'm hoping that 758 00:48:11,840 --> 00:48:15,239 Speaker 1: it will be. That's it. I'm really thinking that this 759 00:48:15,320 --> 00:48:17,960 Speaker 1: is not the end of this report because it really 760 00:48:18,280 --> 00:48:24,120 Speaker 1: kind of ends abruptly. There's no like and in conclusion, 761 00:48:24,360 --> 00:48:27,399 Speaker 1: this is what I think should happen. There's none of that, 762 00:48:29,160 --> 00:48:31,800 Speaker 1: so maybe it was cut off. But I will say 763 00:48:32,360 --> 00:48:36,240 Speaker 1: they essentially are giving two tasks to the Surgeon General, 764 00:48:36,480 --> 00:48:39,600 Speaker 1: if and when we ever get one. The first one 765 00:48:40,719 --> 00:48:43,520 Speaker 1: is screen time. The Surgeon General is going to launch 766 00:48:43,520 --> 00:48:46,640 Speaker 1: an education and awareness initiative on the effects of screens 767 00:48:46,680 --> 00:48:50,760 Speaker 1: on children. I like it again as a mom of three. 768 00:48:51,520 --> 00:48:53,600 Speaker 1: This is this is an issue. It's an issue. It's 769 00:48:53,600 --> 00:48:55,520 Speaker 1: not just an issue for kids, it's an issue for adults. 770 00:48:56,560 --> 00:48:59,600 Speaker 1: Our Surgeon General right now is pregnant, I believe, with 771 00:48:59,640 --> 00:49:02,360 Speaker 1: her first child, So this is something she's going to 772 00:49:02,360 --> 00:49:06,560 Speaker 1: be dealing with eventually when she becomes a mom. So 773 00:49:07,760 --> 00:49:09,799 Speaker 1: I'm sure there are a lot of moms surrounding her 774 00:49:09,920 --> 00:49:11,960 Speaker 1: who are going to be very excited to talk to 775 00:49:12,000 --> 00:49:14,880 Speaker 1: her all about the consequences of speed time and she 776 00:49:15,080 --> 00:49:18,920 Speaker 1: is going to learn herself in the new future. The 777 00:49:19,000 --> 00:49:22,120 Speaker 1: other initiative for the Surgery General is that she is 778 00:49:22,160 --> 00:49:25,080 Speaker 1: going to launch an education and awareness initiative on the 779 00:49:25,120 --> 00:49:31,480 Speaker 1: impact alcohol controlled substances, vaping and teachc on children's health. Excellent. 780 00:49:32,040 --> 00:49:33,640 Speaker 1: I am certain she's going to get a little bit 781 00:49:33,640 --> 00:49:39,520 Speaker 1: of pushback on this one, mainly because I think I 782 00:49:39,520 --> 00:49:42,279 Speaker 1: don't know who's in her book or it was an 783 00:49:42,440 --> 00:49:48,480 Speaker 1: article she talked about taking essentially an illegal substance here 784 00:49:48,480 --> 00:49:52,279 Speaker 1: in the United States, like a hallucinogenic, and she was 785 00:49:52,320 --> 00:49:55,040 Speaker 1: saying that it just helped her get to a deeper place. 786 00:49:55,880 --> 00:49:57,600 Speaker 1: I don't know if she said spiritually, I don't really 787 00:49:57,600 --> 00:50:00,920 Speaker 1: know what she said, but I just think it's kind 788 00:50:00,920 --> 00:50:02,359 Speaker 1: of funny, and I think people are going to give 789 00:50:02,400 --> 00:50:05,600 Speaker 1: her her time on that, which is maybe maybe she 790 00:50:05,640 --> 00:50:07,919 Speaker 1: deserves it, maybe not. I don't know. But she has 791 00:50:08,000 --> 00:50:12,560 Speaker 1: spoken out, I believe, in her book about the consequences 792 00:50:12,640 --> 00:50:18,000 Speaker 1: of marijuana and some other things on just overall health. 793 00:50:18,200 --> 00:50:21,640 Speaker 1: So I know she feels that way, and it'll be interesting. 794 00:50:21,760 --> 00:50:23,920 Speaker 1: It's going to be this is going to be real interesting. 795 00:50:24,840 --> 00:50:27,840 Speaker 1: They really didn't mention opioids like at all, despite the 796 00:50:27,840 --> 00:50:30,839 Speaker 1: fact that three teens essentially die a day of opioids. 797 00:50:31,080 --> 00:50:33,640 Speaker 1: They essentially just say maybe the FDA is going to 798 00:50:33,719 --> 00:50:37,960 Speaker 1: update OxyContin labeling to warn patients and consumers about the 799 00:50:38,040 --> 00:50:41,000 Speaker 1: dangers of chronic use. Would have liked to see a 800 00:50:41,000 --> 00:50:43,799 Speaker 1: little bit more about opioids, seeing as it is still 801 00:50:43,800 --> 00:50:50,040 Speaker 1: a major major issue in our communities. They do talk 802 00:50:50,080 --> 00:50:54,279 Speaker 1: about educating schools a little bit about responding to overdoses, 803 00:50:54,360 --> 00:50:58,600 Speaker 1: but I am much more interested in preventing the overdoses 804 00:50:58,640 --> 00:51:02,560 Speaker 1: than just responding to them. So that's it. I will 805 00:51:02,640 --> 00:51:06,319 Speaker 1: let you know if and when this final report comes out. 806 00:51:06,920 --> 00:51:10,399 Speaker 1: To me, it's a big frickin' nothing burger. It's kind 807 00:51:10,400 --> 00:51:16,600 Speaker 1: of just more repetition of what we've already heard, and 808 00:51:16,640 --> 00:51:20,000 Speaker 1: at the end of the day, you can put a 809 00:51:20,040 --> 00:51:22,919 Speaker 1: million bullet points out, it's going to take a lot 810 00:51:22,960 --> 00:51:28,240 Speaker 1: more to actually make some change, specifically some long lasting change. 811 00:51:28,239 --> 00:51:30,640 Speaker 1: So I really hope we can get there. Thanks for 812 00:51:30,719 --> 00:51:34,880 Speaker 1: listening to Wellness Unmasks on America's number one podcast network, iHeart. 813 00:51:35,239 --> 00:51:38,400 Speaker 1: Follow Wellness unmass with doctor Nicole Safire and start listening 814 00:51:38,440 --> 00:51:41,480 Speaker 1: on the free iHeartRadio app or wherever you get your podcasts, 815 00:51:41,480 --> 00:51:42,840 Speaker 1: and we will catch you next time.