1 00:00:00,080 --> 00:00:02,400 Speaker 1: They dragon just wanted to wish you a happy National 2 00:00:02,440 --> 00:00:02,960 Speaker 1: Fart Day. 3 00:00:03,400 --> 00:00:09,480 Speaker 2: I hope you have a good day. I didn't realize 4 00:00:09,520 --> 00:00:12,680 Speaker 2: it was National Fart Day. 5 00:00:12,720 --> 00:00:13,640 Speaker 3: Did it was a holiday? 6 00:00:14,720 --> 00:00:15,280 Speaker 2: It should be. 7 00:00:15,480 --> 00:00:18,160 Speaker 3: That's why temptations. That's exactly why he's not here. 8 00:00:18,200 --> 00:00:23,680 Speaker 4: That's right, he's out celebrating National Fart Day. It's interesting 9 00:00:23,720 --> 00:00:28,040 Speaker 4: to me how over the past well, first of the year, 10 00:00:28,680 --> 00:00:36,559 Speaker 4: I you know, we had the six year anniversary of COVID, 11 00:00:36,880 --> 00:00:41,320 Speaker 4: which we talked about last week, and then this past 12 00:00:41,360 --> 00:00:45,800 Speaker 4: week there we had doctor j. Balataria, who you may 13 00:00:45,840 --> 00:00:49,720 Speaker 4: recall is the Stanford professor that dared to question the lockdowns. 14 00:00:50,960 --> 00:00:54,320 Speaker 4: Because when he did, questioning lockdowns was heresy. It was, 15 00:00:54,400 --> 00:00:57,360 Speaker 4: oh my gosh, you can't do that. He's also one 16 00:00:57,360 --> 00:01:01,960 Speaker 4: of the authors of the Great Barrington Declaration, when writing 17 00:01:02,000 --> 00:01:06,440 Speaker 4: those kinds of things was actually considered dangerous misinformation and 18 00:01:06,520 --> 00:01:12,040 Speaker 4: could get you arrested. So doctor Baldicharia, who got Shadle banned, 19 00:01:12,600 --> 00:01:15,479 Speaker 4: fact checked, ostracized by the very institution. 20 00:01:15,200 --> 00:01:18,080 Speaker 2: He now leads. It's so wonderful. 21 00:01:21,080 --> 00:01:25,560 Speaker 4: So he sat this week before the Senate Health Committee, 22 00:01:25,680 --> 00:01:28,080 Speaker 4: and he sat there as the director of the National 23 00:01:28,200 --> 00:01:35,840 Speaker 4: Institutes of Health that irony is so delicious. The organization 24 00:01:35,920 --> 00:01:41,440 Speaker 4: that once funded his persecution now answers to him, and 25 00:01:41,480 --> 00:01:48,520 Speaker 4: he came with the receipts. Senator Roger Marshall pressed doctor 26 00:01:48,560 --> 00:01:52,000 Speaker 4: Baldacharia on gain of function research. You know, the kind 27 00:01:52,040 --> 00:01:55,720 Speaker 4: of lab engineered pathogen enhancement that probably gave us COVID 28 00:01:55,800 --> 00:01:57,680 Speaker 4: nineteen stars cove to in the first place. 29 00:01:58,720 --> 00:02:01,680 Speaker 2: Balta Charlie didn't dance around that issue. He took it 30 00:02:01,840 --> 00:02:02,200 Speaker 2: head on. 31 00:02:02,400 --> 00:02:05,960 Speaker 4: Quote, I want to assure the American public that we 32 00:02:06,080 --> 00:02:10,799 Speaker 4: have ended any support for dangerous gain of function at 33 00:02:10,880 --> 00:02:16,240 Speaker 4: the National Institute's of Health. Good for you, done, finished 34 00:02:16,720 --> 00:02:21,440 Speaker 4: well insofar as government funding is concerned. Now equal Health 35 00:02:21,440 --> 00:02:24,720 Speaker 4: Alliance the ones that were doing the research and move 36 00:02:24,760 --> 00:02:28,760 Speaker 4: on if they found another source of funding, or the 37 00:02:28,840 --> 00:02:31,360 Speaker 4: Chinese Communist Party wants to do it, or maybe you know, 38 00:02:31,400 --> 00:02:33,920 Speaker 4: we had that house out in California. We discovered all 39 00:02:33,960 --> 00:02:37,120 Speaker 4: the bile labs, the material and the bile hazards in it. 40 00:02:37,240 --> 00:02:40,239 Speaker 2: Maybe they're still doing it. They just moved into a house. Hey, 41 00:02:40,280 --> 00:02:40,799 Speaker 2: we found a. 42 00:02:40,760 --> 00:02:43,880 Speaker 4: Nice ranch somewhere in Orange County. Let's just go by 43 00:02:43,919 --> 00:02:46,320 Speaker 4: that place and just set up instead of a meth lab. 44 00:02:46,520 --> 00:02:47,880 Speaker 4: They'll set up a bio lab. 45 00:02:49,200 --> 00:02:49,600 Speaker 3: Wow. 46 00:02:50,280 --> 00:02:53,680 Speaker 4: If you recall, Gain of Function was a research program 47 00:02:53,720 --> 00:02:57,959 Speaker 4: that doctor Fauci swore did not exist and then claimed, oh, 48 00:02:58,400 --> 00:03:01,280 Speaker 4: I said it didn't exist, but we really do have 49 00:03:01,360 --> 00:03:06,359 Speaker 4: it because it's essential for pandemic preparedness, and then decided 50 00:03:06,440 --> 00:03:09,320 Speaker 4: he would shift gears again and say, well, it's worth 51 00:03:09,360 --> 00:03:13,680 Speaker 4: the risk, but now it's dead at least as far 52 00:03:13,720 --> 00:03:16,359 Speaker 4: as as so far as our tax dollars go supporting it. 53 00:03:17,480 --> 00:03:21,480 Speaker 4: For years, years, we were told by the experts they 54 00:03:21,639 --> 00:03:24,440 Speaker 4: Gain a Function was too important to stop, you know, 55 00:03:24,480 --> 00:03:28,119 Speaker 4: too big to fail, so to speak, too complex for us, 56 00:03:28,280 --> 00:03:31,880 Speaker 4: none nuts out here to understand, too necessary to question. 57 00:03:32,760 --> 00:03:36,840 Speaker 4: I love it when government bureaucrats tell me, the people 58 00:03:36,920 --> 00:03:39,640 Speaker 4: that are paying their salaries, that I'm too stupid to 59 00:03:39,720 --> 00:03:42,160 Speaker 4: question it. I thought we always told there were no 60 00:03:42,280 --> 00:03:45,640 Speaker 4: dumb questions, so by the churry, you just seened it 61 00:03:45,760 --> 00:03:49,640 Speaker 4: with a single sentence. Turns out it wasn't that complicated 62 00:03:49,680 --> 00:03:53,000 Speaker 4: after all. Like when Trump said, you know, all we 63 00:03:53,080 --> 00:03:55,480 Speaker 4: needed to you know, close the border was just a 64 00:03:55,520 --> 00:03:59,400 Speaker 4: new president. We didn't need comprehensive immigration reform. We just 65 00:03:59,440 --> 00:04:04,360 Speaker 4: needed a new resident. Senator Josh Holly I don't know why, 66 00:04:04,360 --> 00:04:07,520 Speaker 4: but he's really been in the news this week once. 67 00:04:07,640 --> 00:04:11,680 Speaker 4: What we all want accountability, real accountability, the kind that 68 00:04:11,840 --> 00:04:14,680 Speaker 4: involved looking every American in the eye and explaining, how 69 00:04:14,720 --> 00:04:18,799 Speaker 4: did our government funded research kill my grandma? 70 00:04:19,440 --> 00:04:20,360 Speaker 2: How did that happen? 71 00:04:20,400 --> 00:04:22,640 Speaker 5: One of the things that so badly undermined public trust 72 00:04:22,720 --> 00:04:25,400 Speaker 5: in the NIH in particular, and I think you addressed 73 00:04:25,400 --> 00:04:26,920 Speaker 5: this so when you were before the committee the first 74 00:04:26,920 --> 00:04:29,760 Speaker 5: time for your confirmation hearing was the work that NIH 75 00:04:29,839 --> 00:04:33,240 Speaker 5: did and funded at the Wuhan Institute of Virology for 76 00:04:33,480 --> 00:04:36,520 Speaker 5: coronavirus gain of function research, and of course lied about 77 00:04:36,560 --> 00:04:39,360 Speaker 5: it for two years or more. NIH deny that there 78 00:04:39,400 --> 00:04:41,799 Speaker 5: had been any funding whatsoever that had gone to Wuhan, 79 00:04:41,839 --> 00:04:45,640 Speaker 5: and then ultimately had to admit after public reporting that 80 00:04:45,760 --> 00:04:49,880 Speaker 5: indeed there had been gain of function research with NIH 81 00:04:49,960 --> 00:04:52,719 Speaker 5: money through EcoHealth Alliance that had gone to Wuhan. My 82 00:04:52,800 --> 00:04:55,760 Speaker 5: question to you is this, has the NIH done under 83 00:04:55,800 --> 00:04:59,440 Speaker 5: your leadership now a thorough review of all of the 84 00:04:59,520 --> 00:05:02,440 Speaker 5: grants or other funding streams that may have gone not 85 00:05:02,520 --> 00:05:05,960 Speaker 5: only to Wuhan but to other labs in China. Do 86 00:05:06,080 --> 00:05:09,320 Speaker 5: we have a handle now on what NIH was doing 87 00:05:09,440 --> 00:05:12,000 Speaker 5: over the last decade plus in funding. 88 00:05:12,040 --> 00:05:14,839 Speaker 6: I think this is so important because we were missileed. 89 00:05:14,839 --> 00:05:16,880 Speaker 6: I say we, I mean the American people were missileed 90 00:05:16,880 --> 00:05:18,880 Speaker 6: and lied to. And those of us who said, wait 91 00:05:18,880 --> 00:05:21,080 Speaker 6: a minute, we think there's a funding stream there, we 92 00:05:21,080 --> 00:05:25,720 Speaker 6: were called conspiracy theorists, Coop's crazies. It turns out it 93 00:05:25,760 --> 00:05:28,159 Speaker 6: was one hundred percent correct. So has has Nih has 94 00:05:28,240 --> 00:05:30,760 Speaker 6: done a review of what funding streams have gone to 95 00:05:30,800 --> 00:05:32,120 Speaker 6: WUHAN into other labs. 96 00:05:32,279 --> 00:05:35,760 Speaker 1: That's I've been focused primarily on making sure that we 97 00:05:35,800 --> 00:05:38,080 Speaker 1: don't conturrently have or in the future half So I 98 00:05:38,160 --> 00:05:41,400 Speaker 1: put in policies to have better oversight of foreign collaborations. 99 00:05:41,680 --> 00:05:43,880 Speaker 1: I worked very hard on the dangerouscain to function. We 100 00:05:44,000 --> 00:05:46,920 Speaker 1: paused forty grants that have some potential risk of dangerous 101 00:05:46,920 --> 00:05:49,120 Speaker 1: gain to function and put in policy so that never 102 00:05:49,160 --> 00:05:51,880 Speaker 1: happens again, because that's to me, that's the most important thing. 103 00:05:51,960 --> 00:05:53,039 Speaker 1: We can't ever do it again. 104 00:05:54,320 --> 00:05:58,720 Speaker 4: I agree wholeheartedly we can't do it again. And when 105 00:05:58,760 --> 00:06:01,040 Speaker 4: talked about Atroy and I just have a disagree with this. 106 00:06:01,120 --> 00:06:06,800 Speaker 4: What I understand sometimes you say things that you realize 107 00:06:07,360 --> 00:06:10,960 Speaker 4: and I'm not sure I'm really guarantee that just like 108 00:06:11,000 --> 00:06:14,840 Speaker 4: it took a new president to close the border, and 109 00:06:14,880 --> 00:06:17,560 Speaker 4: it took a new president appointing the right people to 110 00:06:17,720 --> 00:06:20,640 Speaker 4: end the gain of function. It can also take the 111 00:06:20,680 --> 00:06:25,320 Speaker 4: wrong president to put other people in place that would 112 00:06:25,320 --> 00:06:30,280 Speaker 4: restart these kinds of programs. And while we should stop 113 00:06:30,360 --> 00:06:34,520 Speaker 4: them and not do them, it doesn't mean that the 114 00:06:34,640 --> 00:06:36,960 Speaker 4: Chinese Communist Party is not doing it on its own, 115 00:06:38,080 --> 00:06:40,720 Speaker 4: or that some other third world crabhole country isn't doing 116 00:06:40,800 --> 00:06:43,240 Speaker 4: it somewhere in some lab that's in a lean to 117 00:06:44,360 --> 00:06:47,520 Speaker 4: that could be going on too. So why I appreciate, 118 00:06:47,560 --> 00:06:49,920 Speaker 4: I appreciate, I truly do appreciate what doctor about Acharia 119 00:06:49,960 --> 00:06:52,120 Speaker 4: is saying. I also take it with a grain of salt, 120 00:06:52,240 --> 00:06:57,400 Speaker 4: because the way DC works is Yeah, those that at 121 00:06:57,440 --> 00:07:01,920 Speaker 4: that level, doctor Bouticharia can implement those policies, he can 122 00:07:02,040 --> 00:07:09,080 Speaker 4: make those fundamental changes. He cannot guarantee that after twenty 123 00:07:09,120 --> 00:07:12,320 Speaker 4: twenty eight, in twenty twenty nine, when a new president 124 00:07:12,400 --> 00:07:16,760 Speaker 4: takes office, that oh, the policies will stay the same. 125 00:07:17,640 --> 00:07:17,960 Speaker 3: Oh. 126 00:07:18,280 --> 00:07:20,520 Speaker 4: That leads me I could go down an entire rabbit 127 00:07:20,520 --> 00:07:23,760 Speaker 4: hole real quickly about Oh, it does matter who you 128 00:07:23,840 --> 00:07:24,280 Speaker 4: vote for. 129 00:07:26,080 --> 00:07:27,480 Speaker 2: I'm working on the review. 130 00:07:27,520 --> 00:07:30,200 Speaker 1: It's a long, long review, and it's gonna and I'd 131 00:07:30,200 --> 00:07:34,880 Speaker 1: love to work with Congress, and it's something that other 132 00:07:35,000 --> 00:07:38,120 Speaker 1: parts of the administration are also interested in. It's a 133 00:07:38,520 --> 00:07:41,119 Speaker 1: it's a long compilation story that unforunately doesn't just involve 134 00:07:41,160 --> 00:07:45,560 Speaker 1: the NIGE. It also involves partners, foreign partners, and so 135 00:07:45,640 --> 00:07:47,960 Speaker 1: I think it's something that we really should do, but 136 00:07:48,440 --> 00:07:48,800 Speaker 1: we haven't. 137 00:07:48,880 --> 00:07:50,440 Speaker 2: I can't tell you we're completed at this point. 138 00:07:50,600 --> 00:07:52,600 Speaker 6: Don't you think that that accountability is important? I mean, 139 00:07:52,680 --> 00:07:54,880 Speaker 6: don't you think to restore public trust is important that 140 00:07:54,920 --> 00:07:58,320 Speaker 6: we level with the American people, that there's transparency, that 141 00:07:58,360 --> 00:08:00,640 Speaker 6: we correct the record and say, here's actually what your 142 00:08:00,680 --> 00:08:03,960 Speaker 6: government did with your tax money. Maybe it'll be little, 143 00:08:04,040 --> 00:08:05,960 Speaker 6: I mean, maybe there won't be much beyond what went 144 00:08:05,960 --> 00:08:08,360 Speaker 6: to Wuhan. I hope that's the answer. Maybe it's more 145 00:08:08,400 --> 00:08:11,040 Speaker 6: than that. Whatever it is, I think the public deserves 146 00:08:11,080 --> 00:08:14,960 Speaker 6: to know. And frankly, having been misled, this body was misled, 147 00:08:14,960 --> 00:08:18,720 Speaker 6: maybe this committee, certainly the Homeland Security Committee was misiled 148 00:08:18,720 --> 00:08:20,280 Speaker 6: for the better part of two years when we were 149 00:08:20,280 --> 00:08:23,800 Speaker 6: told over and over and over and over, no tax 150 00:08:23,840 --> 00:08:26,560 Speaker 6: money ever went to Wuhan, no gain of function research. 151 00:08:26,600 --> 00:08:29,160 Speaker 6: That was a lie. That was a lie from the 152 00:08:29,280 --> 00:08:33,040 Speaker 6: leaders of NIH at the time. I think those lies 153 00:08:33,120 --> 00:08:36,160 Speaker 6: need to be corrected and the facts, all of the facts, 154 00:08:36,200 --> 00:08:39,720 Speaker 6: however sorted and unpleasant they may be, for the institution, 155 00:08:39,920 --> 00:08:42,640 Speaker 6: need to come out so that the public can say, Okay, 156 00:08:43,120 --> 00:08:45,720 Speaker 6: we cleaned house here, We've got some confidence in what 157 00:08:45,800 --> 00:08:47,760 Speaker 6: our own government is doing with our tax money. 158 00:08:47,800 --> 00:08:48,640 Speaker 3: Don't you agree with that? 159 00:08:48,840 --> 00:08:49,720 Speaker 2: I do agree with that. 160 00:08:50,040 --> 00:08:53,720 Speaker 1: After a patient dies in a hospital, there's often a conference, 161 00:08:53,720 --> 00:08:56,200 Speaker 1: a mobidity and mortality conference, where there's just an honest 162 00:08:56,200 --> 00:08:57,560 Speaker 1: conversation what went wrong? 163 00:08:58,000 --> 00:09:00,960 Speaker 3: I think that the United States desperately needs that desperately. Well, 164 00:09:00,960 --> 00:09:03,080 Speaker 3: will you make that a priority in your time. 165 00:09:02,880 --> 00:09:06,200 Speaker 1: At in IH happy to happy to collaborate with you 166 00:09:06,240 --> 00:09:08,200 Speaker 1: and others in connors to make that good. 167 00:09:08,240 --> 00:09:14,000 Speaker 4: I think it's that's great. You know, you know, you know, 168 00:09:14,080 --> 00:09:17,520 Speaker 4: you know, you know, and it would be mister cinecle here. 169 00:09:18,440 --> 00:09:23,920 Speaker 4: But that's a great interchange, that's a great discussion. Where 170 00:09:23,960 --> 00:09:26,319 Speaker 4: are we going to see the results of that? I 171 00:09:26,480 --> 00:09:28,400 Speaker 4: I where where? You know, we had a nine to 172 00:09:28,400 --> 00:09:32,120 Speaker 4: eleven commission, We've had the JFK commission. We you know, 173 00:09:32,160 --> 00:09:34,680 Speaker 4: we we had the Warren Commission, we had all we 174 00:09:34,880 --> 00:09:35,720 Speaker 4: always have a commission. 175 00:09:35,720 --> 00:09:37,640 Speaker 2: You got a blue riven Commission for everything. 176 00:09:38,400 --> 00:09:41,080 Speaker 4: Knowing just how DC works, I don't have any confidence 177 00:09:41,120 --> 00:09:45,599 Speaker 4: whatsoever that we're going to learn from this nothing whatsoever. 178 00:09:47,120 --> 00:09:50,160 Speaker 4: Where are the metrics to measure that we're we're putting 179 00:09:50,240 --> 00:09:53,800 Speaker 4: in place X, Y Z, and we're fully disposing everything. Now, 180 00:09:54,240 --> 00:09:56,560 Speaker 4: this is a great start, and this is not meant 181 00:09:56,600 --> 00:10:00,120 Speaker 4: to bashductor about a Charlie whatsoever. I admire the guy. 182 00:10:00,760 --> 00:10:03,240 Speaker 4: So he did agree to at least a Morbidity and 183 00:10:03,320 --> 00:10:08,840 Speaker 4: Mortality conference for this country. The medical profession's version of 184 00:10:08,880 --> 00:10:12,559 Speaker 4: an after action report when everything goes sideways, something that 185 00:10:12,600 --> 00:10:16,280 Speaker 4: you know we did after every single disaster, an honest 186 00:10:16,320 --> 00:10:20,200 Speaker 4: reckoning of what went wrong, who made those decisions, and 187 00:10:20,320 --> 00:10:25,120 Speaker 4: why they made the decisions. Now, the old National Institutes 188 00:10:25,200 --> 00:10:28,120 Speaker 4: of Health with a stone walled, they would have deflected. 189 00:10:28,280 --> 00:10:32,120 Speaker 4: They would have hidden behind ongoing investigations until everyone forgot 190 00:10:32,120 --> 00:10:36,480 Speaker 4: to ask. Bondaicharia took a different tact, and then came 191 00:10:36,520 --> 00:10:38,560 Speaker 4: the moment that I think a lot of people were 192 00:10:38,600 --> 00:10:40,560 Speaker 4: waiting for the vaccine questions. 193 00:10:41,400 --> 00:10:43,280 Speaker 2: Senator Bernie Sanders, the. 194 00:10:43,240 --> 00:10:47,000 Speaker 4: Socialist communist from Vermont, playing his role as the progressive 195 00:10:47,000 --> 00:10:51,440 Speaker 4: attack dog, pushed Bonacharia repeatedly on vaccines and autism. The 196 00:10:51,520 --> 00:10:58,000 Speaker 4: exchange was revealing for how precisely Bondacharia said it, I 197 00:10:58,200 --> 00:11:02,040 Speaker 4: do not believe that diesels quote, I do not believe 198 00:11:02,120 --> 00:11:08,360 Speaker 4: the measles vaccine causes autism close quote. He also said, quote, 199 00:11:08,840 --> 00:11:13,080 Speaker 4: I have not seen a study that suggests any single 200 00:11:13,240 --> 00:11:21,480 Speaker 4: vaccine causes autism close quote. Not vaccines don't cause autism, instead, 201 00:11:21,559 --> 00:11:25,960 Speaker 4: a blanket statement that would be scientifically indefensible given the 202 00:11:25,960 --> 00:11:29,000 Speaker 4: current state of research. Instead, Baltachari has spoke with the 203 00:11:29,000 --> 00:11:33,239 Speaker 4: precision of a scientist who knows the difference between absence 204 00:11:33,280 --> 00:11:38,280 Speaker 4: of evidence and evidence of absence. And then you dropped 205 00:11:38,320 --> 00:11:45,079 Speaker 4: this data ball, which raises a question, a very legitimate question. 206 00:11:46,600 --> 00:11:51,199 Speaker 4: Autism rates have exploded from one in ten thousand children 207 00:11:51,240 --> 00:11:55,920 Speaker 4: back in nineteen eighty five to just simply, not simply, 208 00:11:56,160 --> 00:12:00,599 Speaker 4: to one in thirty one. So from nineteen eighty five 209 00:12:00,840 --> 00:12:03,719 Speaker 4: to twenty twenty six, we've gone from one in ten 210 00:12:03,800 --> 00:12:07,520 Speaker 4: thousand kids get autism or diagnosed with autism to one 211 00:12:07,520 --> 00:12:10,640 Speaker 4: in thirty five today. That is not a rounding error. 212 00:12:12,160 --> 00:12:16,600 Speaker 4: And the Senator Banks praised the Kennedy administration for investing 213 00:12:16,920 --> 00:12:20,439 Speaker 4: in terms of HHS, for investing more resources and autism 214 00:12:20,520 --> 00:12:25,280 Speaker 4: research than any previous administration. So finally, I mean I 215 00:12:25,320 --> 00:12:30,760 Speaker 4: thought that Kennedy thought that everything caused autism. I'm being facetious. Instead, 216 00:12:30,760 --> 00:12:34,439 Speaker 4: they're investing more resources in autism research than any other 217 00:12:34,520 --> 00:12:39,600 Speaker 4: administration prior to this one. So finally, somebody's willing to 218 00:12:39,600 --> 00:12:45,439 Speaker 4: ask uncomfortable questions just instead of reflex it reflexively defending 219 00:12:45,440 --> 00:12:50,720 Speaker 4: the status quo. But when Sanders, when Bernie Sanders demanded 220 00:12:51,480 --> 00:12:56,600 Speaker 4: that he state his position on measles vaccination, doctor Boutroia 221 00:12:57,240 --> 00:13:01,720 Speaker 4: made something crystal clear. Quote the best way to address 222 00:13:01,760 --> 00:13:05,800 Speaker 4: the measles epidemic is by vaccining our children for measles. 223 00:13:07,120 --> 00:13:09,880 Speaker 4: And then Sanders, being the performative artist that he is. 224 00:13:10,280 --> 00:13:14,720 Speaker 4: Oh repeat that louder so he did. And this matters 225 00:13:14,760 --> 00:13:18,800 Speaker 4: because it's the head of NIH under a Kennedy administration, 226 00:13:19,160 --> 00:13:23,080 Speaker 4: the administration all the vaccine absoluteists claims, is anti vaccine, 227 00:13:23,360 --> 00:13:31,120 Speaker 4: explicitly recommending the measles vaccination. Why do I hymphasize that, 228 00:13:32,640 --> 00:13:36,400 Speaker 4: because what you hear is the collapse of the cabal's 229 00:13:36,640 --> 00:13:41,720 Speaker 4: manufactured narrative that somehow this administration and Bobby Kennedy Junior 230 00:13:42,080 --> 00:13:44,679 Speaker 4: and the people that work for him are all anti vaccine. 231 00:13:46,760 --> 00:13:50,040 Speaker 2: I've tried to explain how why is it that we cannot. 232 00:13:49,720 --> 00:13:57,040 Speaker 4: Have questions about vaccines or about the vaccine schedule. When 233 00:13:57,080 --> 00:13:59,960 Speaker 4: I was a kid, Yeah, I got all the vaccine, 234 00:14:00,840 --> 00:14:02,360 Speaker 4: but I didn't get like one hundred. 235 00:14:02,200 --> 00:14:04,240 Speaker 2: Ninety five thousand vaccines all at one time. 236 00:14:05,400 --> 00:14:10,040 Speaker 4: You do that to a newborn baby, or even a 237 00:14:10,160 --> 00:14:13,480 Speaker 4: baby under the age of one, There's got to be 238 00:14:13,640 --> 00:14:20,080 Speaker 4: some physiological reaction to the body being inundated with that 239 00:14:20,360 --> 00:14:23,120 Speaker 4: many viruses or whatever is in that whatever kind of 240 00:14:23,200 --> 00:14:26,400 Speaker 4: vaccine you're getting. That the body's how to trigger something. 241 00:14:27,600 --> 00:14:30,640 Speaker 4: So why not study it and find out as opposed 242 00:14:30,680 --> 00:14:34,560 Speaker 4: to just accepting it. I thought we were supposed to 243 00:14:35,040 --> 00:14:41,400 Speaker 4: question the science, and then this hearing exposed something else 244 00:14:41,480 --> 00:14:45,120 Speaker 4: that I've preached about. But everybody thinks I'm full of 245 00:14:45,120 --> 00:14:51,320 Speaker 4: crap about several symators on both sides. Interesting from both 246 00:14:51,320 --> 00:14:54,800 Speaker 4: sides of the aisle acknowledge what the COVID accountability movement 247 00:14:54,800 --> 00:14:57,320 Speaker 4: has been screening for years, and that is that trust 248 00:14:57,360 --> 00:15:03,120 Speaker 4: in public health, trust in medicine in general is broken, shattered, obliterated. 249 00:15:03,960 --> 00:15:08,000 Speaker 4: Bud of Charlie's framing was perfect. He said, you cannot 250 00:15:08,000 --> 00:15:11,040 Speaker 4: rebuild trust by doubling down on the same behaviors. 251 00:15:10,520 --> 00:15:11,560 Speaker 2: That lost the trust. 252 00:15:12,480 --> 00:15:16,680 Speaker 4: Do you know that, according to his citations, only forty 253 00:15:16,680 --> 00:15:20,480 Speaker 4: percent of patients trust their doctors according to a journal 254 00:15:20,480 --> 00:15:26,760 Speaker 4: of the American Medical Association. That's a huge credibility problem. Now, 255 00:15:27,520 --> 00:15:30,920 Speaker 4: I trust all the doctors that I use, but I'm 256 00:15:30,920 --> 00:15:34,560 Speaker 4: also a pretty damn good advocate for myself. Yes, I will. 257 00:15:36,200 --> 00:15:39,720 Speaker 4: I will admit. Before I go see a doctor, I 258 00:15:39,760 --> 00:15:43,680 Speaker 4: consult doctor Google. I consult all sorts of AI platforms. 259 00:15:43,920 --> 00:15:46,800 Speaker 4: I consult whatever journals I can find online that address 260 00:15:46,840 --> 00:15:48,600 Speaker 4: whatever issue I'm to have addressed. 261 00:15:48,640 --> 00:15:50,160 Speaker 2: You know why not? 262 00:15:50,200 --> 00:15:52,760 Speaker 4: Because I want to go into any preconceived notions. I 263 00:15:52,840 --> 00:15:55,160 Speaker 4: want to know what questions to ask. I want to 264 00:15:55,200 --> 00:15:57,800 Speaker 4: know how to advocate for myself. Nobody else is going 265 00:15:57,840 --> 00:16:02,920 Speaker 4: to advocate for me. Bond A Charia side of the 266 00:16:03,000 --> 00:16:09,080 Speaker 4: Daish example as the model example that transparency builds trust. 267 00:16:09,200 --> 00:16:09,880 Speaker 2: What and why? 268 00:16:10,040 --> 00:16:14,680 Speaker 4: Because Denmark publishes their vaccine adverse event data in real 269 00:16:14,760 --> 00:16:19,800 Speaker 4: time and the Danes acknowledge uncertainty. Instead of sort of 270 00:16:19,840 --> 00:16:26,720 Speaker 4: this pretentious omnipotence about We're always right, they actually treat 271 00:16:26,760 --> 00:16:31,600 Speaker 4: their citizens like adults capable of making informed decisions. We don't. 272 00:16:33,080 --> 00:16:36,440 Speaker 4: Do I admire my doctors? Absolutely do I put them 273 00:16:36,480 --> 00:16:37,160 Speaker 4: on a pedestal. 274 00:16:37,560 --> 00:16:37,800 Speaker 2: No. 275 00:16:38,760 --> 00:16:41,360 Speaker 4: Do I admire some members of Congress. Well, you might 276 00:16:41,400 --> 00:16:43,320 Speaker 4: find one or two that I do. Do I put 277 00:16:43,360 --> 00:16:44,120 Speaker 4: them on a pedestal? 278 00:16:44,160 --> 00:16:44,640 Speaker 2: I do not. 279 00:16:46,920 --> 00:16:51,760 Speaker 4: The concentration breaks the ideological echo chamber that turned out premiere, 280 00:16:52,520 --> 00:16:58,000 Speaker 4: truly premiere biomedical research institution. My son worked at in IH. 281 00:16:58,120 --> 00:17:01,920 Speaker 4: He did his post docket in IA each and so, 282 00:17:02,680 --> 00:17:05,960 Speaker 4: and quite frankly, having dealt with NIH post nine to eleven, 283 00:17:05,960 --> 00:17:08,639 Speaker 4: I know a little bit about how it works, and 284 00:17:08,720 --> 00:17:14,520 Speaker 4: it really was a premiere biomedical research institution. When all 285 00:17:14,600 --> 00:17:18,520 Speaker 4: your funding flows to the same coastal elite universities that 286 00:17:18,560 --> 00:17:22,240 Speaker 4: are stabbed by the same ideological, homogeneous faculty, what do 287 00:17:22,320 --> 00:17:28,879 Speaker 4: you get? Dangerous group thing. So Baltachari instead wants to 288 00:17:29,080 --> 00:17:34,000 Speaker 4: and for someone who's a free market you know, evangelist 289 00:17:34,760 --> 00:17:38,000 Speaker 4: Bartacharia wants to use market based thinking to de link 290 00:17:38,080 --> 00:17:41,800 Speaker 4: facility support from existing grants. So that would break the 291 00:17:41,840 --> 00:17:44,400 Speaker 4: catch twenty two that keeps all these institutions locked out. 292 00:17:44,760 --> 00:17:48,400 Speaker 4: More voices, you get more perspectives, more perspectives, you get 293 00:17:48,400 --> 00:17:52,760 Speaker 4: more accountability. Now the academic establishment is going to fight 294 00:17:52,800 --> 00:17:55,920 Speaker 4: that tooth and nail. Why because they've grown fat, dumb, 295 00:17:55,920 --> 00:18:00,360 Speaker 4: and lazy on their geographic monopoly. But science advances through competition, 296 00:18:01,359 --> 00:18:07,720 Speaker 4: not through consolidation. And then there was the grant disruptions 297 00:18:07,720 --> 00:18:12,080 Speaker 4: and the depoliticization of the grants, which probably even out 298 00:18:12,080 --> 00:18:16,600 Speaker 4: of anshoots, is really causing a lot of a lot 299 00:18:16,640 --> 00:18:18,040 Speaker 4: of anxiety. 300 00:18:18,640 --> 00:18:22,720 Speaker 7: That's next, Michael, can you comment on why are state 301 00:18:22,800 --> 00:18:27,440 Speaker 7: legislature in Statute thirty nine that's ten's one O three 302 00:18:27,560 --> 00:18:33,840 Speaker 7: D decided that beginning this year, the county treasurers are 303 00:18:34,440 --> 00:18:38,960 Speaker 7: prohibited from putting the assessment value on your tax bill. 304 00:18:40,800 --> 00:18:42,520 Speaker 7: I wonder what they're getting ready to do. 305 00:18:45,320 --> 00:18:48,359 Speaker 4: I can't comment on that. I don't have that in 306 00:18:48,400 --> 00:18:49,879 Speaker 4: front of me. I'm not going to pull it up, 307 00:18:49,920 --> 00:18:51,840 Speaker 4: but if you want to email that to me as 308 00:18:51,880 --> 00:18:55,920 Speaker 4: a reminder, I'll look at it and see. I plead 309 00:18:55,920 --> 00:18:59,040 Speaker 4: ignorance about that one. I don't know. Well, I'm sure 310 00:18:59,040 --> 00:19:00,399 Speaker 4: it's all on the up and up. I don't know 311 00:19:00,400 --> 00:19:02,239 Speaker 4: why you have to question anything that the poll up 312 00:19:02,240 --> 00:19:04,679 Speaker 4: Bureau would be doing. Seems to me that you just 313 00:19:04,760 --> 00:19:07,600 Speaker 4: have a really bad attitude when all they're trying to 314 00:19:07,600 --> 00:19:09,480 Speaker 4: do is just trying to make life better for. 315 00:19:09,400 --> 00:19:11,320 Speaker 3: You, Michael, dumbass. 316 00:19:11,560 --> 00:19:14,400 Speaker 8: If you want him to email, you give him your 317 00:19:14,440 --> 00:19:20,919 Speaker 8: email address. 318 00:19:20,640 --> 00:19:24,240 Speaker 3: And don't do everything around here. 319 00:19:24,359 --> 00:19:27,640 Speaker 8: Michael Brown at iHeartMedia dot Com. 320 00:19:27,400 --> 00:19:29,639 Speaker 4: Why shod I have a cool email address? Just like 321 00:19:29,720 --> 00:19:32,280 Speaker 4: you know? Michael at iHeartMedia dot Com. 322 00:19:32,359 --> 00:19:34,960 Speaker 3: You're not the only Michael Michael. 323 00:19:35,040 --> 00:19:37,920 Speaker 4: But I'm and I might I might be the only 324 00:19:37,960 --> 00:19:40,680 Speaker 4: Michael Brown. So you could just put Michael. Everybody else 325 00:19:40,720 --> 00:19:42,879 Speaker 4: has to put there last night? Why can't I just 326 00:19:42,920 --> 00:19:43,280 Speaker 4: have the one? 327 00:19:43,359 --> 00:19:46,880 Speaker 8: Well, then you just weren't first, huh, because our friend 328 00:19:46,960 --> 00:19:51,440 Speaker 8: Ross this the show prior to us Has Ross at 329 00:19:51,440 --> 00:19:52,440 Speaker 8: iHeartMedia dot com. 330 00:19:52,520 --> 00:19:52,920 Speaker 2: Will whoop? 331 00:19:53,080 --> 00:19:55,919 Speaker 8: He'd asked, prior to anybody else trying to grab onto it? 332 00:19:55,960 --> 00:20:00,000 Speaker 8: So well, whoopoop do Michael Brown at iHeartMedia dot Com. 333 00:20:00,359 --> 00:20:03,920 Speaker 2: Thank you? Now? Are you done for the days? All 334 00:20:03,960 --> 00:20:05,560 Speaker 2: the work you're gonna do for the day? Is that it? 335 00:20:05,840 --> 00:20:08,840 Speaker 8: I'm just gonna loave the podcast backwards or forwards, depending 336 00:20:08,880 --> 00:20:10,880 Speaker 8: on how you plan on your how you like. 337 00:20:10,840 --> 00:20:13,240 Speaker 4: It, Depending on how you like it, He's gonna he's 338 00:20:13,280 --> 00:20:17,760 Speaker 4: gonna do it the other way. As we started the program, 339 00:20:17,800 --> 00:20:19,439 Speaker 4: have you thought about temper? Are you concerned? 340 00:20:19,560 --> 00:20:21,080 Speaker 2: You? Have you thought about him at all. 341 00:20:21,320 --> 00:20:24,760 Speaker 8: I almost texted him almost you. I did think about him, 342 00:20:24,800 --> 00:20:26,119 Speaker 8: but I just didn't do anything about it. 343 00:20:26,200 --> 00:20:26,400 Speaker 2: Yeah. 344 00:20:26,400 --> 00:20:28,760 Speaker 4: Well it's the thought that counts, right exactly, because so 345 00:20:28,880 --> 00:20:33,440 Speaker 4: you know, yeah, so we both were both thinking about you, Tepper. Wait, 346 00:20:33,560 --> 00:20:36,199 Speaker 4: won't tell you what we're thinking, but we're thinking about you. 347 00:20:37,160 --> 00:20:38,280 Speaker 2: That four day weekend. 348 00:20:38,320 --> 00:20:40,960 Speaker 4: And you know when you told me about reminding me 349 00:20:41,040 --> 00:20:43,760 Speaker 4: the super Bowl weekend. Course, he took a day off 350 00:20:43,800 --> 00:20:47,240 Speaker 4: today because he's, you know, tomorrow to be like, oh, 351 00:20:47,280 --> 00:20:48,199 Speaker 4: I'm actually worse. 352 00:20:49,040 --> 00:20:50,520 Speaker 8: And you know how many people are going to call 353 00:20:50,560 --> 00:20:52,560 Speaker 8: in sick on Monday because you know, the super Bowl 354 00:20:52,680 --> 00:20:57,800 Speaker 8: Bowl goes pretty late, so he's looking for a five 355 00:20:57,920 --> 00:20:59,320 Speaker 8: day could be pretty good. 356 00:20:59,480 --> 00:21:02,199 Speaker 2: Good, that could be very very good. 357 00:21:03,200 --> 00:21:07,880 Speaker 4: So I think the Democrat attack line that hit hardest 358 00:21:08,119 --> 00:21:10,240 Speaker 4: was and it was a good attack line. But I'm 359 00:21:10,280 --> 00:21:13,679 Speaker 4: gonna debunk in just a second. They claim that the 360 00:21:13,800 --> 00:21:19,560 Speaker 4: Kennedy HHS has killed three hundred and eighty three clinical 361 00:21:19,640 --> 00:21:23,880 Speaker 4: trials and it doctor about a chari is responsible for that. Now, 362 00:21:24,160 --> 00:21:28,960 Speaker 4: you need to understand that the NIH is the primary 363 00:21:29,080 --> 00:21:34,000 Speaker 4: driver of medical research grants that go to all sorts 364 00:21:34,000 --> 00:21:37,400 Speaker 4: of labs all over the country, including my thuns at 365 00:21:37,440 --> 00:21:41,920 Speaker 4: it and shoots and and shoots. I'm sure has had 366 00:21:42,000 --> 00:21:48,000 Speaker 4: grants shut down. A professor that I know up in Missoula, Montana, 367 00:21:48,000 --> 00:21:51,399 Speaker 4: he's had a couple of grants that haven't been terminated. 368 00:21:51,840 --> 00:21:55,800 Speaker 4: But because they don't know, because they're going through all 369 00:21:55,800 --> 00:21:59,240 Speaker 4: of this review, they've decided that, well, we're gonna shut 370 00:21:59,280 --> 00:22:02,840 Speaker 4: down the program until we get a final determination whether 371 00:22:02,840 --> 00:22:06,080 Speaker 4: we're getting the money or not. You wouldn't believe the 372 00:22:06,080 --> 00:22:08,760 Speaker 4: amount of money that goes through NIH to fund places 373 00:22:08,800 --> 00:22:11,800 Speaker 4: like Anshoots. But anyway, the Democrats are all upset because 374 00:22:11,800 --> 00:22:14,520 Speaker 4: three hundred and eighty three clinical trials were terminated by 375 00:22:14,520 --> 00:22:19,760 Speaker 4: doctor Bonacharia. And that's really that sounds devastating, right, Well, 376 00:22:19,800 --> 00:22:22,840 Speaker 4: guess what I told you. It wasn't true. I'm not 377 00:22:22,880 --> 00:22:26,560 Speaker 4: going to tell you the number quite yet, but most 378 00:22:26,600 --> 00:22:31,159 Speaker 4: of those were either renegotiated or they were revised. They 379 00:22:31,160 --> 00:22:34,800 Speaker 4: weren't terminated, And those that were terminated were terminated I 380 00:22:34,800 --> 00:22:39,639 Speaker 4: think for legitimate reasons. Because they focused on this is 381 00:22:39,760 --> 00:22:48,639 Speaker 4: just freaking unbelievable. They contained DEI requirements and other political 382 00:22:48,680 --> 00:22:52,840 Speaker 4: requirements that had nothing to do with medical research. Imagine 383 00:22:52,880 --> 00:22:57,040 Speaker 4: a clinical trial where your participation was contingent on demonstrating 384 00:22:57,240 --> 00:23:01,360 Speaker 4: your commitment to diversity, equity and inclusion principles, and imagine 385 00:23:01,359 --> 00:23:04,639 Speaker 4: medical research designed to advance a political ideology rather than 386 00:23:04,680 --> 00:23:08,040 Speaker 4: human health or science from medicine itself. So out of 387 00:23:08,080 --> 00:23:11,040 Speaker 4: three hundred and eighty three clinical trials allegedly terminated by 388 00:23:11,040 --> 00:23:12,840 Speaker 4: doctor Banicharia, just. 389 00:23:12,800 --> 00:23:16,639 Speaker 2: What the real number was twelve twelve. 390 00:23:19,040 --> 00:23:25,720 Speaker 4: Bonacharia is depoliticizing in IH research, and the political establishment 391 00:23:25,840 --> 00:23:31,240 Speaker 4: within all of these governing bodies is furious they want 392 00:23:31,320 --> 00:23:37,199 Speaker 4: science to serve politics. He wants science to serve patients. 393 00:23:39,960 --> 00:23:43,760 Speaker 4: If I you know, we get the hate text all 394 00:23:43,800 --> 00:23:47,560 Speaker 4: the time, and in fact, there's there's one that you know, 395 00:23:48,240 --> 00:23:51,760 Speaker 4: calls me to see word and everything is, you know, by. 396 00:23:51,680 --> 00:23:53,400 Speaker 2: The way, dragging you. I looked up his number. 397 00:23:53,440 --> 00:23:55,680 Speaker 4: I'm not quite sure which because I'm just kind of, 398 00:23:55,680 --> 00:23:57,400 Speaker 4: you know, I'm always curious about the people that really 399 00:23:57,400 --> 00:23:59,880 Speaker 4: hate me, Like what do they do in real life 400 00:24:00,080 --> 00:24:02,720 Speaker 4: and what do they post other places and stuff. I 401 00:24:02,720 --> 00:24:04,760 Speaker 4: haven't quite figured out which one is really him yet, 402 00:24:04,800 --> 00:24:07,080 Speaker 4: because that the number that we get in the text 403 00:24:07,119 --> 00:24:10,200 Speaker 4: line is from it could be a couple of different places, 404 00:24:10,359 --> 00:24:12,320 Speaker 4: but I think I've isolated down to one or two. 405 00:24:12,359 --> 00:24:14,359 Speaker 4: I got to keep figuring out which one it is 406 00:24:14,760 --> 00:24:16,959 Speaker 4: not because I'm you know, I'm just curious, like, what 407 00:24:16,960 --> 00:24:20,160 Speaker 4: are you do in your real life? So hey, six, one, one, seven, 408 00:24:20,400 --> 00:24:22,159 Speaker 4: Once you come, once, you come clean and tell me, 409 00:24:22,280 --> 00:24:24,160 Speaker 4: like who you are and what you do, and what's 410 00:24:24,160 --> 00:24:24,760 Speaker 4: your background is. 411 00:24:24,960 --> 00:24:26,440 Speaker 3: Let's criticize your job. 412 00:24:27,000 --> 00:24:27,800 Speaker 2: Yeah, let's do that. 413 00:24:28,160 --> 00:24:30,320 Speaker 4: In fact, let's find out what you've done in the past. 414 00:24:30,359 --> 00:24:34,919 Speaker 4: Let's let's look that up. But what I what I 415 00:24:34,960 --> 00:24:37,439 Speaker 4: really want to point out here is is pretty simple 416 00:24:38,960 --> 00:24:44,720 Speaker 4: that you can hate, despise and not vote for Donald Trump. 417 00:24:45,400 --> 00:24:50,160 Speaker 4: And that's okay with me. I'm happy because presidents can 418 00:24:50,240 --> 00:24:54,159 Speaker 4: only do so much. And in fact, I listened to 419 00:24:54,200 --> 00:24:57,560 Speaker 4: Trump at the National Prayer Breakfast this morning, and I 420 00:24:57,600 --> 00:24:59,680 Speaker 4: was like, good grief, man, because I was out walking 421 00:24:59,680 --> 00:25:03,280 Speaker 4: the doll ugs. Shut up, you're not it's the National 422 00:25:03,280 --> 00:25:05,280 Speaker 4: Prayer Breakfast. And in fact, I listened to it just 423 00:25:05,320 --> 00:25:07,280 Speaker 4: long enough that I finally got to a point where 424 00:25:07,320 --> 00:25:09,720 Speaker 4: he said something to the effect, I suppose the audience 425 00:25:09,800 --> 00:25:11,760 Speaker 4: is really ready for me to get back on the teleprompter, 426 00:25:11,920 --> 00:25:15,320 Speaker 4: and I said out loud, yes, I am. You're at 427 00:25:15,359 --> 00:25:20,200 Speaker 4: the National Prayer Breakfast. Talk about prayer, talk about the 428 00:25:20,240 --> 00:25:22,720 Speaker 4: spiritual health of the nation, which he finally got back to. 429 00:25:24,160 --> 00:25:27,000 Speaker 4: But my point is you can despise Trump and not 430 00:25:27,240 --> 00:25:30,960 Speaker 4: like his little, you know, quirks and habits and things 431 00:25:30,960 --> 00:25:34,199 Speaker 4: that he does, but what you really ought to respect 432 00:25:35,560 --> 00:25:40,480 Speaker 4: are the people he's put in place. Because Baalacharia is 433 00:25:40,600 --> 00:25:44,800 Speaker 4: actually upending INNIH and he's getting it back to what 434 00:25:44,880 --> 00:25:49,600 Speaker 4: its original mission was. And while that may be overturned 435 00:25:49,680 --> 00:25:52,439 Speaker 4: depending on what the outcome of the next presidential election is, 436 00:25:52,800 --> 00:25:56,560 Speaker 4: at least for a time being, we're getting our money's worth. 437 00:25:57,640 --> 00:26:00,240 Speaker 4: The other thing that came out of this hearing was 438 00:26:00,280 --> 00:26:06,240 Speaker 4: that the Kennedy HHS administration, their decision to downgrade vaccine 439 00:26:06,280 --> 00:26:11,800 Speaker 4: recommendations from seventeen to eleven obviously got pushed back. I 440 00:26:11,880 --> 00:26:14,879 Speaker 4: wonder why, oh the pharmaceutical industry is all upset about it. 441 00:26:16,080 --> 00:26:19,960 Speaker 4: Senator Lease of Blunt but Rochester, I think is her name. 442 00:26:21,240 --> 00:26:27,880 Speaker 4: She kept comparing America the United States unfavorably to Denmark. Somehows, 443 00:26:27,920 --> 00:26:31,240 Speaker 4: I guess it is Danish public health policy ought to 444 00:26:31,240 --> 00:26:33,639 Speaker 4: be the gold standard for a country that is fifty 445 00:26:33,640 --> 00:26:38,280 Speaker 4: eight times larger and infinitely more complex than little homogeneous Danes. 446 00:26:39,520 --> 00:26:42,640 Speaker 4: But Senator Cassidy, whom I don't really like that all 447 00:26:42,680 --> 00:26:45,400 Speaker 4: that much, truly delivered the line of the day. Hey, 448 00:26:45,560 --> 00:26:49,200 Speaker 4: you know what, Denmark is a club, not a country. 449 00:26:49,400 --> 00:26:54,920 Speaker 4: Denmark is ethnically homogeneous nation of what about six million people. 450 00:26:55,720 --> 00:26:57,160 Speaker 2: It has universal health. 451 00:26:56,920 --> 00:26:59,359 Speaker 4: Care, It has a social trust level that would be 452 00:26:59,480 --> 00:27:03,320 Speaker 4: unwreckedgeable to most Americans. So if you're going to compare 453 00:27:03,359 --> 00:27:07,720 Speaker 4: American vaccine policy to Dani's vaccine policy, that's like comparing 454 00:27:08,119 --> 00:27:12,639 Speaker 4: aircraft navigation to yacht racing. It's just it's just not comparable. 455 00:27:13,480 --> 00:27:18,000 Speaker 4: The real question isn't whether we should copy Denmark. It's 456 00:27:18,040 --> 00:27:24,000 Speaker 4: whether American children need protection against seventeen different diseases in 457 00:27:24,040 --> 00:27:27,960 Speaker 4: the first two years of that small body beginning to develop, 458 00:27:28,720 --> 00:27:32,760 Speaker 4: or whether that represents medical maximalism that run them up. 459 00:27:34,359 --> 00:27:38,240 Speaker 4: Isn't it fascinating that why don't you let the experts 460 00:27:38,840 --> 00:27:40,840 Speaker 4: And I'm not you know, I you know, I go 461 00:27:40,920 --> 00:27:44,080 Speaker 4: against the experts a lot, But why don't we actually 462 00:27:44,160 --> 00:27:48,560 Speaker 4: let these doctors practice medicine and really go evaluate and say, 463 00:27:48,800 --> 00:27:50,879 Speaker 4: you know, we've just been doing this, maybe we'll to 464 00:27:50,960 --> 00:27:53,879 Speaker 4: just take a time out and see if it still 465 00:27:54,119 --> 00:27:57,800 Speaker 4: is the right thing to be doing. Everyone yeah, like 466 00:27:57,840 --> 00:27:59,800 Speaker 4: everyone's why he yells at me, like, why don't you 467 00:27:59,800 --> 00:28:02,520 Speaker 4: take break? Okay, well, all take a break. 468 00:28:02,600 --> 00:28:05,440 Speaker 2: Michael, I keep haing you talk about this doctor buck 469 00:28:05,600 --> 00:28:06,840 Speaker 2: Choi or doctor let Choi. 470 00:28:06,880 --> 00:28:09,639 Speaker 3: I thought we already covered this topic. Now I'm craving 471 00:28:09,680 --> 00:28:16,040 Speaker 3: egg rolls. Honestly, the egg rolls do sound pretty good 472 00:28:16,119 --> 00:28:16,480 Speaker 3: right now. 473 00:28:17,080 --> 00:28:19,040 Speaker 2: I haven't had any egg rolls in quite a while. 474 00:28:19,800 --> 00:28:22,439 Speaker 4: I really like the spring rolls better, the non fried 475 00:28:22,520 --> 00:28:25,600 Speaker 4: egg rolls wrapped in rice paper shramp and the vegies 476 00:28:25,600 --> 00:28:27,560 Speaker 4: in and stuff peanut sauce. That's really good. 477 00:28:27,600 --> 00:28:28,720 Speaker 3: Yeah, Panda doesn't have those. 478 00:28:31,240 --> 00:28:32,600 Speaker 2: Forgot about Panda? 479 00:28:33,119 --> 00:28:33,560 Speaker 3: You did? 480 00:28:33,600 --> 00:28:35,280 Speaker 2: You got me all right? Uh? 481 00:28:35,359 --> 00:28:38,400 Speaker 4: Well, since you're tired of doctor Bodicharia. I had a 482 00:28:38,440 --> 00:28:41,600 Speaker 4: most fascinating conversation with mister Redbeer during the break because 483 00:28:41,600 --> 00:28:44,120 Speaker 4: I got an email from someone who said, well, why 484 00:28:44,120 --> 00:28:48,000 Speaker 4: don't you just request Brownie at iHeartMedia dot com and 485 00:28:48,040 --> 00:28:50,760 Speaker 4: I I haven't replied back to I'll just tell you, 486 00:28:50,960 --> 00:28:53,440 Speaker 4: as I was telling you Dragon about the email, because 487 00:28:54,160 --> 00:28:57,760 Speaker 4: I don't like the nickname Brownie. But it's not for 488 00:28:57,800 --> 00:29:00,400 Speaker 4: the reason that most people assume that I don't like it. 489 00:29:00,480 --> 00:29:01,920 Speaker 3: Is it because you're doing a heck of a job, 490 00:29:02,320 --> 00:29:04,160 Speaker 3: has nothing to do with that whatsoever. 491 00:29:04,560 --> 00:29:06,760 Speaker 2: It's because it's not cool. Now. 492 00:29:06,800 --> 00:29:10,000 Speaker 4: I understand that the President gave me that nickname, so 493 00:29:10,040 --> 00:29:12,840 Speaker 4: in that sense, yeah, it's cool. But just Brownie out 494 00:29:12,840 --> 00:29:16,080 Speaker 4: of context is not a cool nickname. Brownie's a delicious 495 00:29:16,480 --> 00:29:19,560 Speaker 4: and that's my I rest my case. I rest my 496 00:29:19,640 --> 00:29:20,400 Speaker 4: case right there. 497 00:29:20,520 --> 00:29:21,880 Speaker 3: As long as you don't put nuts in and then 498 00:29:21,920 --> 00:29:22,760 Speaker 3: brownies are great. 499 00:29:23,040 --> 00:29:23,240 Speaker 7: Right. 500 00:29:23,760 --> 00:29:27,720 Speaker 4: But well, speaking of nuts, say that, then it doesn't 501 00:29:27,720 --> 00:29:31,160 Speaker 4: fit me because I'm nuts, so can't do it. So 502 00:29:31,200 --> 00:29:35,040 Speaker 4: I that led me down to this horrible path of well, 503 00:29:35,120 --> 00:29:38,080 Speaker 4: how did you get dragon at iHeartMedia dot com? And 504 00:29:38,120 --> 00:29:39,240 Speaker 4: how did you get that nickname? 505 00:29:39,560 --> 00:29:40,760 Speaker 3: I was very lucky. 506 00:29:41,080 --> 00:29:45,480 Speaker 8: I got an internship twenty one years ago now at 507 00:29:45,480 --> 00:29:49,680 Speaker 8: our sister station KBPI, the hard rock station, and I 508 00:29:49,680 --> 00:29:50,880 Speaker 8: got the interne with Willy B. 509 00:29:51,160 --> 00:29:54,840 Speaker 2: We might just does not set it up right, Willy B. Yes. 510 00:29:55,200 --> 00:29:57,360 Speaker 8: So I was going to the media school and they said, 511 00:29:57,480 --> 00:29:59,320 Speaker 8: if you get an internship, make sure you treat your 512 00:29:59,360 --> 00:30:01,040 Speaker 8: internship professionally. 513 00:30:01,080 --> 00:30:01,840 Speaker 3: It is a job. 514 00:30:01,960 --> 00:30:04,680 Speaker 8: Make sure you look nice, you treat everybody respectfully, so 515 00:30:04,720 --> 00:30:07,840 Speaker 8: forth and so forth. So my first day as an 516 00:30:07,920 --> 00:30:10,560 Speaker 8: intern for the morning show on one oh six seven 517 00:30:10,640 --> 00:30:13,120 Speaker 8: at the time KBPI with Willy B. 518 00:30:13,440 --> 00:30:15,720 Speaker 2: I can just see you walking in This is hilarious. 519 00:30:16,360 --> 00:30:21,160 Speaker 8: I was in a full suit, vest, jacket, tie, shiny shoes, 520 00:30:21,320 --> 00:30:25,080 Speaker 8: the whole nine yards and everything, going into a hard 521 00:30:25,200 --> 00:30:26,240 Speaker 8: rock station. 522 00:30:26,160 --> 00:30:27,560 Speaker 2: With Willy B of all people. 523 00:30:27,720 --> 00:30:30,760 Speaker 8: Yeah, and he takes one look at me and looks 524 00:30:30,800 --> 00:30:32,880 Speaker 8: me up and down and goes, you ever dressed like 525 00:30:32,920 --> 00:30:40,360 Speaker 8: that again? I will bleeping fire. You're bleeping, bleeping bleeping Okay, Okay. 526 00:30:40,400 --> 00:30:42,520 Speaker 8: So the next morning it's it's a morning show, and 527 00:30:42,560 --> 00:30:44,320 Speaker 8: I'm not used to mornings at this point in time, 528 00:30:44,360 --> 00:30:46,880 Speaker 8: so I just reach into my closet grab any old 529 00:30:46,920 --> 00:30:50,720 Speaker 8: T shirt that I can come into the station, and 530 00:30:50,920 --> 00:30:54,680 Speaker 8: Willy looks at my shirt and goes dragon because it 531 00:30:54,800 --> 00:30:57,760 Speaker 8: had the shirt I was wearing had a massive dragon 532 00:30:58,000 --> 00:30:58,400 Speaker 8: on it. 533 00:30:58,640 --> 00:31:00,320 Speaker 4: Did it have the word dragon or just to picked 534 00:31:00,360 --> 00:31:02,680 Speaker 4: up picture of a dragon? And so that's how you 535 00:31:02,760 --> 00:31:06,560 Speaker 4: got dragon se You know, if I had, if it 536 00:31:06,600 --> 00:31:08,360 Speaker 4: was a cool nickname like that, I'd take it. That, 537 00:31:08,520 --> 00:31:11,760 Speaker 4: you know, but Brownie versus dragon that you know, come on, 538 00:31:12,000 --> 00:31:12,600 Speaker 4: you got. 539 00:31:12,360 --> 00:31:13,120 Speaker 2: You have to admit. 540 00:31:13,360 --> 00:31:14,440 Speaker 3: One is definitely cooler. 541 00:31:14,560 --> 00:31:16,600 Speaker 2: One is definitely cooler than the other. Right. 542 00:31:16,680 --> 00:31:19,320 Speaker 8: And a slight other story is like, I'm very glad 543 00:31:19,440 --> 00:31:22,600 Speaker 8: for my name versus some of the previous and later 544 00:31:22,720 --> 00:31:28,080 Speaker 8: interns on that show. And I can't say the intern's name, 545 00:31:28,120 --> 00:31:28,479 Speaker 8: but I can. 546 00:31:28,600 --> 00:31:29,240 Speaker 2: You could spell it. 547 00:31:29,280 --> 00:31:30,959 Speaker 3: I could, I could work around it. 548 00:31:31,040 --> 00:31:35,560 Speaker 8: Yes, When this kid emailed Willie to get an internship, 549 00:31:35,800 --> 00:31:41,280 Speaker 8: he used his school email addresses, which was his first 550 00:31:41,320 --> 00:31:47,680 Speaker 8: initial and his last name first initials T, and his 551 00:31:47,920 --> 00:31:49,840 Speaker 8: last name was what. 552 00:31:51,680 --> 00:31:54,320 Speaker 3: At school dot org or whatever it is, so T 553 00:31:56,080 --> 00:32:00,360 Speaker 3: what at school? So there was an intern on that 554 00:32:00,440 --> 00:32:01,760 Speaker 3: station for quite a while. 555 00:32:02,880 --> 00:32:06,800 Speaker 2: He and and really just and really just used it. 556 00:32:07,040 --> 00:32:08,600 Speaker 2: He just used it. Called him that. 557 00:32:08,720 --> 00:32:12,120 Speaker 4: Yeah, well you know, if the FCC said something, I'd said, 558 00:32:12,120 --> 00:32:15,920 Speaker 4: well that's his name. I'm using a school, a public school, 559 00:32:16,400 --> 00:32:20,040 Speaker 4: you know, a private school email address, and that's what 560 00:32:20,120 --> 00:32:20,440 Speaker 4: he is. 561 00:32:20,640 --> 00:32:25,920 Speaker 3: So I am very very grateful for dragon see. 562 00:32:26,000 --> 00:32:29,280 Speaker 4: And Bush was just lazy. Bush was just being lazy. 563 00:32:29,960 --> 00:32:32,560 Speaker 4: Oh it's Michael Brown, because only you. 564 00:32:32,520 --> 00:32:33,280 Speaker 2: Know, they're not. 565 00:32:33,400 --> 00:32:36,520 Speaker 4: Everybody had nicknames, so I was very lucky to have 566 00:32:36,560 --> 00:32:37,080 Speaker 4: a nickname. 567 00:32:37,200 --> 00:32:39,680 Speaker 2: I just wish he had put a little more effort 568 00:32:39,720 --> 00:32:40,160 Speaker 2: into it.