All language subtitles for SC Senate Hearing - USC Professor Dr. Phillip Buckhaults.en

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These are the user uploaded subtitles that are being translated: 1 00:00:00,880 --> 00:00:03,230 so a little bit 2 00:00:03,230 --> 00:00:03,240 so a little bit 3 00:00:03,240 --> 00:00:06,269 so a little bit of what am I doing here for those of you 4 00:00:06,269 --> 00:00:06,279 of what am I doing here for those of you 5 00:00:06,279 --> 00:00:08,990 of what am I doing here for those of you don't don't know me um my name is Philip 6 00:00:08,990 --> 00:00:09,000 don't don't know me um my name is Philip 7 00:00:09,000 --> 00:00:11,870 don't don't know me um my name is Philip baltz I'm a uh I have a PhD in 8 00:00:11,870 --> 00:00:11,880 baltz I'm a uh I have a PhD in 9 00:00:11,880 --> 00:00:14,070 baltz I'm a uh I have a PhD in Biochemistry and molecular biology uh 10 00:00:14,070 --> 00:00:14,080 Biochemistry and molecular biology uh 11 00:00:14,080 --> 00:00:16,349 Biochemistry and molecular biology uh I'm a I'm a cancer Gene jock uh 12 00:00:16,349 --> 00:00:16,359 I'm a I'm a cancer Gene jock uh 13 00:00:16,359 --> 00:00:18,349 I'm a I'm a cancer Gene jock uh basically I do cancer genomics research 14 00:00:18,349 --> 00:00:18,359 basically I do cancer genomics research 15 00:00:18,359 --> 00:00:21,269 basically I do cancer genomics research at the University of South Carolina and 16 00:00:21,269 --> 00:00:21,279 at the University of South Carolina and 17 00:00:21,279 --> 00:00:22,950 at the University of South Carolina and what that means is that I'm kind of an 18 00:00:22,950 --> 00:00:22,960 what that means is that I'm kind of an 19 00:00:22,960 --> 00:00:24,670 what that means is that I'm kind of an expert on all the ways that the human 20 00:00:24,670 --> 00:00:24,680 expert on all the ways that the human 21 00:00:24,680 --> 00:00:26,910 expert on all the ways that the human genome can get fussed with during your 22 00:00:26,910 --> 00:00:26,920 genome can get fussed with during your 23 00:00:26,920 --> 00:00:29,269 genome can get fussed with during your lifetime and which of those things cause 24 00:00:29,269 --> 00:00:29,279 lifetime and which of those things cause 25 00:00:29,279 --> 00:00:32,429 lifetime and which of those things cause cancer and which one don't okay um so 26 00:00:32,429 --> 00:00:32,439 cancer and which one don't okay um so 27 00:00:32,439 --> 00:00:34,190 cancer and which one don't okay um so technically that means that I'm very 28 00:00:34,190 --> 00:00:34,200 technically that means that I'm very 29 00:00:34,200 --> 00:00:36,510 technically that means that I'm very very skilled in in the art of DNA 30 00:00:36,510 --> 00:00:36,520 very skilled in in the art of DNA 31 00:00:36,520 --> 00:00:38,470 very skilled in in the art of DNA sequencing okay I can figure out the 32 00:00:38,470 --> 00:00:38,480 sequencing okay I can figure out the 33 00:00:38,480 --> 00:00:39,709 sequencing okay I can figure out the sequence of things that I didn't know 34 00:00:39,709 --> 00:00:39,719 sequence of things that I didn't know 35 00:00:39,719 --> 00:00:42,229 sequence of things that I didn't know what I was looking for um and I'm also 36 00:00:42,229 --> 00:00:42,239 what I was looking for um and I'm also 37 00:00:42,239 --> 00:00:44,470 what I was looking for um and I'm also pretty good when I say I I mean the 38 00:00:44,470 --> 00:00:44,480 pretty good when I say I I mean the 39 00:00:44,480 --> 00:00:46,150 pretty good when I say I I mean the people in my laboratory that you're not 40 00:00:46,150 --> 00:00:46,160 people in my laboratory that you're not 41 00:00:46,160 --> 00:00:47,549 people in my laboratory that you're not going to hear their names but there's a 42 00:00:47,549 --> 00:00:47,559 going to hear their names but there's a 43 00:00:47,559 --> 00:00:48,950 going to hear their names but there's a group of people that do this excellent 44 00:00:48,950 --> 00:00:48,960 group of people that do this excellent 45 00:00:48,960 --> 00:00:52,549 group of people that do this excellent work um we're really good at at um 46 00:00:52,549 --> 00:00:52,559 work um we're really good at at um 47 00:00:52,559 --> 00:00:55,590 work um we're really good at at um detecting foreign pieces of DNA in 48 00:00:55,590 --> 00:00:55,600 detecting foreign pieces of DNA in 49 00:00:55,600 --> 00:00:56,790 detecting foreign pieces of DNA in places where they're not supposed to be 50 00:00:56,790 --> 00:00:56,800 places where they're not supposed to be 51 00:00:56,800 --> 00:01:00,150 places where they're not supposed to be even if they're real low levels and we 52 00:01:00,150 --> 00:01:00,160 even if they're real low levels and we 53 00:01:00,160 --> 00:01:03,869 even if they're real low levels and we used those skills during the pandemic um 54 00:01:03,869 --> 00:01:03,879 used those skills during the pandemic um 55 00:01:03,879 --> 00:01:07,030 used those skills during the pandemic um to we invented the coid test that many 56 00:01:07,030 --> 00:01:07,040 to we invented the coid test that many 57 00:01:07,040 --> 00:01:09,070 to we invented the coid test that many of you did a spit test okay that came 58 00:01:09,070 --> 00:01:09,080 of you did a spit test okay that came 59 00:01:09,080 --> 00:01:10,990 of you did a spit test okay that came out of my lab because we were really 60 00:01:10,990 --> 00:01:11,000 out of my lab because we were really 61 00:01:11,000 --> 00:01:12,990 out of my lab because we were really good at that kind of stuff and so I've 62 00:01:12,990 --> 00:01:13,000 good at that kind of stuff and so I've 63 00:01:13,000 --> 00:01:17,429 good at that kind of stuff and so I've earned a fair amount of respect um in 64 00:01:17,429 --> 00:01:17,439 earned a fair amount of respect um in 65 00:01:17,439 --> 00:01:19,590 earned a fair amount of respect um in the state of South Carolina and in this 66 00:01:19,590 --> 00:01:19,600 the state of South Carolina and in this 67 00:01:19,600 --> 00:01:22,710 the state of South Carolina and in this body because we did a ton of coid 68 00:01:22,710 --> 00:01:22,720 body because we did a ton of coid 69 00:01:22,720 --> 00:01:23,990 body because we did a ton of coid testing in the middle of the night when 70 00:01:23,990 --> 00:01:24,000 testing in the middle of the night when 71 00:01:24,000 --> 00:01:25,789 testing in the middle of the night when people were afraid and we told them no 72 00:01:25,789 --> 00:01:25,799 people were afraid and we told them no 73 00:01:25,799 --> 00:01:27,510 people were afraid and we told them no you don't have coid in your home or yes 74 00:01:27,510 --> 00:01:27,520 you don't have coid in your home or yes 75 00:01:27,520 --> 00:01:31,149 you don't have coid in your home or yes you do so my qualif ation to comment on 76 00:01:31,149 --> 00:01:31,159 you do so my qualif ation to comment on 77 00:01:31,159 --> 00:01:33,270 you do so my qualif ation to comment on this are both Technical and kind of 78 00:01:33,270 --> 00:01:33,280 this are both Technical and kind of 79 00:01:33,280 --> 00:01:35,870 this are both Technical and kind of relational in the state of South 80 00:01:35,870 --> 00:01:35,880 relational in the state of South 81 00:01:35,880 --> 00:01:40,990 relational in the state of South Carolina 82 00:01:40,990 --> 00:01:41,000 83 00:01:41,000 --> 00:01:44,709 um I'll cut to a very narrow theme here 84 00:01:44,709 --> 00:01:44,719 um I'll cut to a very narrow theme here 85 00:01:44,719 --> 00:01:46,749 um I'll cut to a very narrow theme here but it does touch on lots of these 86 00:01:46,749 --> 00:01:46,759 but it does touch on lots of these 87 00:01:46,759 --> 00:01:49,230 but it does touch on lots of these regulatory issues and I'll leave it to 88 00:01:49,230 --> 00:01:49,240 regulatory issues and I'll leave it to 89 00:01:49,240 --> 00:01:52,109 regulatory issues and I'll leave it to you to expand on those if you want to 90 00:01:52,109 --> 00:01:52,119 you to expand on those if you want to 91 00:01:52,119 --> 00:01:54,950 you to expand on those if you want to I'll try to stay in this Narrow Lane um 92 00:01:54,950 --> 00:01:54,960 I'll try to stay in this Narrow Lane um 93 00:01:54,960 --> 00:01:58,029 I'll try to stay in this Narrow Lane um of some problems in the fizer vaccine um 94 00:01:58,029 --> 00:01:58,039 of some problems in the fizer vaccine um 95 00:01:58,039 --> 00:02:00,389 of some problems in the fizer vaccine um as a case study for place in which 96 00:02:00,389 --> 00:02:00,399 as a case study for place in which 97 00:02:00,399 --> 00:02:02,590 as a case study for place in which regulatory oversight could be improved 98 00:02:02,590 --> 00:02:02,600 regulatory oversight could be improved 99 00:02:02,600 --> 00:02:04,230 regulatory oversight could be improved all right 100 00:02:04,230 --> 00:02:04,240 all right 101 00:02:04,240 --> 00:02:06,990 all right so first of all let me say that my 102 00:02:06,990 --> 00:02:07,000 so first of all let me say that my 103 00:02:07,000 --> 00:02:09,710 so first of all let me say that my interpretation of the literature is that 104 00:02:09,710 --> 00:02:09,720 interpretation of the literature is that 105 00:02:09,720 --> 00:02:12,710 interpretation of the literature is that the fizer vaccine did a pretty good job 106 00:02:12,710 --> 00:02:12,720 the fizer vaccine did a pretty good job 107 00:02:12,720 --> 00:02:14,550 the fizer vaccine did a pretty good job of keeping people from dying but it did 108 00:02:14,550 --> 00:02:14,560 of keeping people from dying but it did 109 00:02:14,560 --> 00:02:16,910 of keeping people from dying but it did a terrible job of stopping the pandemic 110 00:02:16,910 --> 00:02:16,920 a terrible job of stopping the pandemic 111 00:02:16,920 --> 00:02:21,110 a terrible job of stopping the pandemic the early Publications showed that um it 112 00:02:21,110 --> 00:02:21,120 the early Publications showed that um it 113 00:02:21,120 --> 00:02:22,910 the early Publications showed that um it stopped infection but that only lasted 114 00:02:22,910 --> 00:02:22,920 stopped infection but that only lasted 115 00:02:22,920 --> 00:02:24,990 stopped infection but that only lasted for like a month Dr B could you pull the 116 00:02:24,990 --> 00:02:25,000 for like a month Dr B could you pull the 117 00:02:25,000 --> 00:02:27,070 for like a month Dr B could you pull the mic a little closer to you um staff's 118 00:02:27,070 --> 00:02:27,080 mic a little closer to you um staff's 119 00:02:27,080 --> 00:02:28,589 mic a little closer to you um staff's telling me they having trouble getting 120 00:02:28,589 --> 00:02:28,599 telling me they having trouble getting 121 00:02:28,599 --> 00:02:31,630 telling me they having trouble getting you on the recording okay okay thank you 122 00:02:31,630 --> 00:02:31,640 you on the recording okay okay thank you 123 00:02:31,640 --> 00:02:34,589 you on the recording okay okay thank you um in in my professional evaluation of 124 00:02:34,589 --> 00:02:34,599 um in in my professional evaluation of 125 00:02:34,599 --> 00:02:36,470 um in in my professional evaluation of the literature the fiser vaccine did a 126 00:02:36,470 --> 00:02:36,480 the literature the fiser vaccine did a 127 00:02:36,480 --> 00:02:37,710 the literature the fiser vaccine did a pretty good job of keeping people out of 128 00:02:37,710 --> 00:02:37,720 pretty good job of keeping people out of 129 00:02:37,720 --> 00:02:39,869 pretty good job of keeping people out of the cemetery but it sucked at stopping 130 00:02:39,869 --> 00:02:39,879 the cemetery but it sucked at stopping 131 00:02:39,879 --> 00:02:43,710 the cemetery but it sucked at stopping the pandemic and um it was the best of 132 00:02:43,710 --> 00:02:43,720 the pandemic and um it was the best of 133 00:02:43,720 --> 00:02:46,070 the pandemic and um it was the best of sucky options that we had and I still 134 00:02:46,070 --> 00:02:46,080 sucky options that we had and I still 135 00:02:46,080 --> 00:02:50,110 sucky options that we had and I still believe that um it was 136 00:02:50,110 --> 00:02:50,120 believe that um it was 137 00:02:50,120 --> 00:02:53,949 believe that um it was deployed mostly in good faith but there 138 00:02:53,949 --> 00:02:53,959 deployed mostly in good faith but there 139 00:02:53,959 --> 00:02:55,509 deployed mostly in good faith but there were a lot of shortcuts taken because 140 00:02:55,509 --> 00:02:55,519 were a lot of shortcuts taken because 141 00:02:55,519 --> 00:02:58,830 were a lot of shortcuts taken because the house was on fire and uh we could do 142 00:02:58,830 --> 00:02:58,840 the house was on fire and uh we could do 143 00:02:58,840 --> 00:03:00,750 the house was on fire and uh we could do a better job next time time from the 144 00:03:00,750 --> 00:03:00,760 a better job next time time from the 145 00:03:00,760 --> 00:03:01,949 a better job next time time from the lessons that we're going to learn here 146 00:03:01,949 --> 00:03:01,959 lessons that we're going to learn here 147 00:03:01,959 --> 00:03:04,430 lessons that we're going to learn here that's my own personal view of this uh 148 00:03:04,430 --> 00:03:04,440 that's my own personal view of this uh 149 00:03:04,440 --> 00:03:07,589 that's my own personal view of this uh but I'm also my philosophical bent here 150 00:03:07,589 --> 00:03:07,599 but I'm also my philosophical bent here 151 00:03:07,599 --> 00:03:09,750 but I'm also my philosophical bent here is I'm sure many of you have heard of a 152 00:03:09,750 --> 00:03:09,760 is I'm sure many of you have heard of a 153 00:03:09,760 --> 00:03:11,910 is I'm sure many of you have heard of a aam's Razer right choose the simplest of 154 00:03:11,910 --> 00:03:11,920 aam's Razer right choose the simplest of 155 00:03:11,920 --> 00:03:13,350 aam's Razer right choose the simplest of explanations well there's another one 156 00:03:13,350 --> 00:03:13,360 explanations well there's another one 157 00:03:13,360 --> 00:03:15,550 explanations well there's another one called hanlon's Razer which is never 158 00:03:15,550 --> 00:03:15,560 called hanlon's Razer which is never 159 00:03:15,560 --> 00:03:17,149 called hanlon's Razer which is never attribute malice to that which can be 160 00:03:17,149 --> 00:03:17,159 attribute malice to that which can be 161 00:03:17,159 --> 00:03:19,509 attribute malice to that which can be better explained by incompetence and so 162 00:03:19,509 --> 00:03:19,519 better explained by incompetence and so 163 00:03:19,519 --> 00:03:21,390 better explained by incompetence and so I'm trying to be gracious here in many 164 00:03:21,390 --> 00:03:21,400 I'm trying to be gracious here in many 165 00:03:21,400 --> 00:03:23,869 I'm trying to be gracious here in many in circumstances there could be malice 166 00:03:23,869 --> 00:03:23,879 in circumstances there could be malice 167 00:03:23,879 --> 00:03:25,670 in circumstances there could be malice underneath but I'm trying to see just 168 00:03:25,670 --> 00:03:25,680 underneath but I'm trying to see just 169 00:03:25,680 --> 00:03:29,509 underneath but I'm trying to see just incompetence to be gracious so the fizer 170 00:03:29,509 --> 00:03:29,519 incompetence to be gracious so the fizer 171 00:03:29,519 --> 00:03:32,710 incompetence to be gracious so the fizer uh vaccine is contaminated with plasma 172 00:03:32,710 --> 00:03:32,720 uh vaccine is contaminated with plasma 173 00:03:32,720 --> 00:03:36,309 uh vaccine is contaminated with plasma DNA it's not just mRNA it's got bits of 174 00:03:36,309 --> 00:03:36,319 DNA it's not just mRNA it's got bits of 175 00:03:36,319 --> 00:03:40,149 DNA it's not just mRNA it's got bits of DNA in it this DNA is the DNA Vector 176 00:03:40,149 --> 00:03:40,159 DNA in it this DNA is the DNA Vector 177 00:03:40,159 --> 00:03:42,910 DNA in it this DNA is the DNA Vector that was used um as the template for the 178 00:03:42,910 --> 00:03:42,920 that was used um as the template for the 179 00:03:42,920 --> 00:03:44,830 that was used um as the template for the invitro transcription reaction when they 180 00:03:44,830 --> 00:03:44,840 invitro transcription reaction when they 181 00:03:44,840 --> 00:03:45,789 invitro transcription reaction when they made the 182 00:03:45,789 --> 00:03:45,799 made the 183 00:03:45,799 --> 00:03:48,149 made the MRNA um I know this is true because I 184 00:03:48,149 --> 00:03:48,159 MRNA um I know this is true because I 185 00:03:48,159 --> 00:03:51,110 MRNA um I know this is true because I sequenced it in my own lab the vials of 186 00:03:51,110 --> 00:03:51,120 sequenced it in my own lab the vials of 187 00:03:51,120 --> 00:03:52,630 sequenced it in my own lab the vials of fiser vaccine that were given out here 188 00:03:52,630 --> 00:03:52,640 fiser vaccine that were given out here 189 00:03:52,640 --> 00:03:55,229 fiser vaccine that were given out here in Colombia uh one of my colleagues was 190 00:03:55,229 --> 00:03:55,239 in Colombia uh one of my colleagues was 191 00:03:55,239 --> 00:03:57,350 in Colombia uh one of my colleagues was in charge of that vaccination program in 192 00:03:57,350 --> 00:03:57,360 in charge of that vaccination program in 193 00:03:57,360 --> 00:04:00,670 in charge of that vaccination program in the College of Pharmacy and for reasons 194 00:04:00,670 --> 00:04:00,680 the College of Pharmacy and for reasons 195 00:04:00,680 --> 00:04:01,869 the College of Pharmacy and for reasons that I still don't understand he kept 196 00:04:01,869 --> 00:04:01,879 that I still don't understand he kept 197 00:04:01,879 --> 00:04:04,710 that I still don't understand he kept every single vial um so he had a whole 198 00:04:04,710 --> 00:04:04,720 every single vial um so he had a whole 199 00:04:04,720 --> 00:04:06,390 every single vial um so he had a whole freezer full of the empty vials well the 200 00:04:06,390 --> 00:04:06,400 freezer full of the empty vials well the 201 00:04:06,400 --> 00:04:08,110 freezer full of the empty vials well the empty vials have a little tiny bit in 202 00:04:08,110 --> 00:04:08,120 empty vials have a little tiny bit in 203 00:04:08,120 --> 00:04:09,630 empty vials have a little tiny bit in the bottom of them he gave them all to 204 00:04:09,630 --> 00:04:09,640 the bottom of them he gave them all to 205 00:04:09,640 --> 00:04:11,589 the bottom of them he gave them all to me and I looked at them we had two 206 00:04:11,589 --> 00:04:11,599 me and I looked at them we had two 207 00:04:11,599 --> 00:04:13,190 me and I looked at them we had two batches that were given out here in 208 00:04:13,190 --> 00:04:13,200 batches that were given out here in 209 00:04:13,200 --> 00:04:16,189 batches that were given out here in Colombia and I checked these two batches 210 00:04:16,189 --> 00:04:16,199 Colombia and I checked these two batches 211 00:04:16,199 --> 00:04:18,110 Colombia and I checked these two batches and I checked them by 212 00:04:18,110 --> 00:04:18,120 and I checked them by 213 00:04:18,120 --> 00:04:21,030 and I checked them by sequencing and I sequenced all the DNA 214 00:04:21,030 --> 00:04:21,040 sequencing and I sequenced all the DNA 215 00:04:21,040 --> 00:04:22,790 sequencing and I sequenced all the DNA that was in the vaccine and I can see 216 00:04:22,790 --> 00:04:22,800 that was in the vaccine and I can see 217 00:04:22,800 --> 00:04:24,790 that was in the vaccine and I can see what's in there and it's surprising that 218 00:04:24,790 --> 00:04:24,800 what's in there and it's surprising that 219 00:04:24,800 --> 00:04:27,629 what's in there and it's surprising that there's any DNA in there and you can 220 00:04:27,629 --> 00:04:27,639 there's any DNA in there and you can 221 00:04:27,639 --> 00:04:29,629 there's any DNA in there and you can kind of work out what it is and how it 222 00:04:29,629 --> 00:04:29,639 kind of work out what it is and how it 223 00:04:29,639 --> 00:04:32,230 kind of work out what it is and how it got there and I'm kind of alarmed about 224 00:04:32,230 --> 00:04:32,240 got there and I'm kind of alarmed about 225 00:04:32,240 --> 00:04:35,070 got there and I'm kind of alarmed about the possible consequences of this both 226 00:04:35,070 --> 00:04:35,080 the possible consequences of this both 227 00:04:35,080 --> 00:04:38,350 the possible consequences of this both in terms of human health and biology but 228 00:04:38,350 --> 00:04:38,360 in terms of human health and biology but 229 00:04:38,360 --> 00:04:39,830 in terms of human health and biology but you should be alarmed about the 230 00:04:39,830 --> 00:04:39,840 you should be alarmed about the 231 00:04:39,840 --> 00:04:41,350 you should be alarmed about the regulatory process that allowed it to 232 00:04:41,350 --> 00:04:41,360 regulatory process that allowed it to 233 00:04:41,360 --> 00:04:45,390 regulatory process that allowed it to get there so this DNA in my 234 00:04:45,390 --> 00:04:45,400 get there so this DNA in my 235 00:04:45,400 --> 00:04:48,469 get there so this DNA in my view it could be causing some of the 236 00:04:48,469 --> 00:04:48,479 view it could be causing some of the 237 00:04:48,479 --> 00:04:50,469 view it could be causing some of the rare but serious side effects like death 238 00:04:50,469 --> 00:04:50,479 rare but serious side effects like death 239 00:04:50,479 --> 00:04:52,150 rare but serious side effects like death from Cardiac Arrest there's a lot of 240 00:04:52,150 --> 00:04:52,160 from Cardiac Arrest there's a lot of 241 00:04:52,160 --> 00:04:57,029 from Cardiac Arrest there's a lot of cases now um of people having suspicious 242 00:04:57,029 --> 00:04:57,039 cases now um of people having suspicious 243 00:04:57,039 --> 00:04:59,230 cases now um of people having suspicious death after vaccine it's hard to prove 244 00:04:59,230 --> 00:04:59,240 death after vaccine it's hard to prove 245 00:04:59,240 --> 00:05:00,749 death after vaccine it's hard to prove what caused it it's just you know 246 00:05:00,749 --> 00:05:00,759 what caused it it's just you know 247 00:05:00,759 --> 00:05:05,189 what caused it it's just you know temporally Associated um and this DNA is 248 00:05:05,189 --> 00:05:05,199 temporally Associated um and this DNA is 249 00:05:05,199 --> 00:05:10,430 temporally Associated um and this DNA is a plausible mechanism okay uh this DNA 250 00:05:10,430 --> 00:05:10,440 a plausible mechanism okay uh this DNA 251 00:05:10,440 --> 00:05:13,790 a plausible mechanism okay uh this DNA uh can and likely will integrate into 252 00:05:13,790 --> 00:05:13,800 uh can and likely will integrate into 253 00:05:13,800 --> 00:05:16,310 uh can and likely will integrate into the genomic DNA of cells that got 254 00:05:16,310 --> 00:05:16,320 the genomic DNA of cells that got 255 00:05:16,320 --> 00:05:18,870 the genomic DNA of cells that got transfected with the vaccine mix this is 256 00:05:18,870 --> 00:05:18,880 transfected with the vaccine mix this is 257 00:05:18,880 --> 00:05:20,270 transfected with the vaccine mix this is just the way it works we do this in the 258 00:05:20,270 --> 00:05:20,280 just the way it works we do this in the 259 00:05:20,280 --> 00:05:22,510 just the way it works we do this in the lab all the time we take pieces of DNA 260 00:05:22,510 --> 00:05:22,520 lab all the time we take pieces of DNA 261 00:05:22,520 --> 00:05:24,670 lab all the time we take pieces of DNA we mix them up with a A lipid complex 262 00:05:24,670 --> 00:05:24,680 we mix them up with a A lipid complex 263 00:05:24,680 --> 00:05:27,510 we mix them up with a A lipid complex like the fizer uh vaccine is in we pour 264 00:05:27,510 --> 00:05:27,520 like the fizer uh vaccine is in we pour 265 00:05:27,520 --> 00:05:29,870 like the fizer uh vaccine is in we pour it onto cells and and a lot of it gets 266 00:05:29,870 --> 00:05:29,880 it onto cells and and a lot of it gets 267 00:05:29,880 --> 00:05:31,350 it onto cells and and a lot of it gets into the cells and a lot of it gets into 268 00:05:31,350 --> 00:05:31,360 into the cells and a lot of it gets into 269 00:05:31,360 --> 00:05:32,990 into the cells and a lot of it gets into the DNA of those cells and it becomes a 270 00:05:32,990 --> 00:05:33,000 the DNA of those cells and it becomes a 271 00:05:33,000 --> 00:05:34,990 the DNA of those cells and it becomes a permanent fixture of the cell it's not 272 00:05:34,990 --> 00:05:35,000 permanent fixture of the cell it's not 273 00:05:35,000 --> 00:05:38,510 permanent fixture of the cell it's not just a temporary um a temporary thing it 274 00:05:38,510 --> 00:05:38,520 just a temporary um a temporary thing it 275 00:05:38,520 --> 00:05:40,670 just a temporary um a temporary thing it is in that cell and all of its progyny 276 00:05:40,670 --> 00:05:40,680 is in that cell and all of its progyny 277 00:05:40,680 --> 00:05:43,430 is in that cell and all of its progyny from now on forever more 278 00:05:43,430 --> 00:05:43,440 from now on forever more 279 00:05:43,440 --> 00:05:45,790 from now on forever more amen so that's why I'm kind of alarmed 280 00:05:45,790 --> 00:05:45,800 amen so that's why I'm kind of alarmed 281 00:05:45,800 --> 00:05:48,309 amen so that's why I'm kind of alarmed about this DNA being in the vaccine it's 282 00:05:48,309 --> 00:05:48,319 about this DNA being in the vaccine it's 283 00:05:48,319 --> 00:05:50,870 about this DNA being in the vaccine it's it's it's different from RNA because it 284 00:05:50,870 --> 00:05:50,880 it's it's different from RNA because it 285 00:05:50,880 --> 00:05:51,950 it's it's different from RNA because it can be 286 00:05:51,950 --> 00:05:51,960 can be 287 00:05:51,960 --> 00:05:54,029 can be permanent this is a real Hazard for 288 00:05:54,029 --> 00:05:54,039 permanent this is a real Hazard for 289 00:05:54,039 --> 00:05:56,029 permanent this is a real Hazard for genome modification of Long Live sematic 290 00:05:56,029 --> 00:05:56,039 genome modification of Long Live sematic 291 00:05:56,039 --> 00:05:59,629 genome modification of Long Live sematic cells like stem cells um and it could 292 00:05:59,629 --> 00:05:59,639 cells like stem cells um and it could 293 00:05:59,639 --> 00:06:01,510 cells like stem cells um and it could cause theoretically this is all a 294 00:06:01,510 --> 00:06:01,520 cause theoretically this is all a 295 00:06:01,520 --> 00:06:03,029 cause theoretically this is all a theoretical concern but it's pretty 296 00:06:03,029 --> 00:06:03,039 theoretical concern but it's pretty 297 00:06:03,039 --> 00:06:05,909 theoretical concern but it's pretty reasonable based on solid molecular 298 00:06:05,909 --> 00:06:05,919 reasonable based on solid molecular 299 00:06:05,919 --> 00:06:08,110 reasonable based on solid molecular biology that it could cause a sustained 300 00:06:08,110 --> 00:06:08,120 biology that it could cause a sustained 301 00:06:08,120 --> 00:06:10,430 biology that it could cause a sustained autoimmune tact toward that tissue it's 302 00:06:10,430 --> 00:06:10,440 autoimmune tact toward that tissue it's 303 00:06:10,440 --> 00:06:12,990 autoimmune tact toward that tissue it's also a very real theoretical risk of 304 00:06:12,990 --> 00:06:13,000 also a very real theoretical risk of 305 00:06:13,000 --> 00:06:15,670 also a very real theoretical risk of future cancer in some people depending 306 00:06:15,670 --> 00:06:15,680 future cancer in some people depending 307 00:06:15,680 --> 00:06:17,830 future cancer in some people depending on where in the genome this foreign 308 00:06:17,830 --> 00:06:17,840 on where in the genome this foreign 309 00:06:17,840 --> 00:06:20,870 on where in the genome this foreign piece of DNA lands um it can interrupt a 310 00:06:20,870 --> 00:06:20,880 piece of DNA lands um it can interrupt a 311 00:06:20,880 --> 00:06:23,270 piece of DNA lands um it can interrupt a tumor suppressor or activate an enogen I 312 00:06:23,270 --> 00:06:23,280 tumor suppressor or activate an enogen I 313 00:06:23,280 --> 00:06:25,070 tumor suppressor or activate an enogen I think it'll be rare but I think the risk 314 00:06:25,070 --> 00:06:25,080 think it'll be rare but I think the risk 315 00:06:25,080 --> 00:06:26,830 think it'll be rare but I think the risk is not zero and it may be high enough 316 00:06:26,830 --> 00:06:26,840 is not zero and it may be high enough 317 00:06:26,840 --> 00:06:28,510 is not zero and it may be high enough that we are to figure out if this is 318 00:06:28,510 --> 00:06:28,520 that we are to figure out if this is 319 00:06:28,520 --> 00:06:30,510 that we are to figure out if this is happening or not 320 00:06:30,510 --> 00:06:30,520 happening or not 321 00:06:30,520 --> 00:06:33,150 happening or not and then again the the the autoimmunity 322 00:06:33,150 --> 00:06:33,160 and then again the the the autoimmunity 323 00:06:33,160 --> 00:06:34,749 and then again the the the autoimmunity thing is not my wheelhouse I'm not an 324 00:06:34,749 --> 00:06:34,759 thing is not my wheelhouse I'm not an 325 00:06:34,759 --> 00:06:36,550 thing is not my wheelhouse I'm not an immunologist but the cancer risk is 326 00:06:36,550 --> 00:06:36,560 immunologist but the cancer risk is 327 00:06:36,560 --> 00:06:39,430 immunologist but the cancer risk is that's my bag I know this is a thing and 328 00:06:39,430 --> 00:06:39,440 that's my bag I know this is a thing and 329 00:06:39,440 --> 00:06:42,110 that's my bag I know this is a thing and it is a 330 00:06:42,110 --> 00:06:42,120 331 00:06:42,120 --> 00:06:45,270 possibility okay A little nerdy science 332 00:06:45,270 --> 00:06:45,280 possibility okay A little nerdy science 333 00:06:45,280 --> 00:06:46,909 possibility okay A little nerdy science here the central dogma of molecular 334 00:06:46,909 --> 00:06:46,919 here the central dogma of molecular 335 00:06:46,919 --> 00:06:49,589 here the central dogma of molecular biology is that DNA gets transcribed 336 00:06:49,589 --> 00:06:49,599 biology is that DNA gets transcribed 337 00:06:49,599 --> 00:06:53,070 biology is that DNA gets transcribed into RNA okay and then RNA gets 338 00:06:53,070 --> 00:06:53,080 into RNA okay and then RNA gets 339 00:06:53,080 --> 00:06:56,230 into RNA okay and then RNA gets translated into protein this is just how 340 00:06:56,230 --> 00:06:56,240 translated into protein this is just how 341 00:06:56,240 --> 00:06:57,309 translated into protein this is just how life 342 00:06:57,309 --> 00:06:57,319 life 343 00:06:57,319 --> 00:07:01,029 life runs why why does this matter well DNA 344 00:07:01,029 --> 00:07:01,039 runs why why does this matter well DNA 345 00:07:01,039 --> 00:07:03,270 runs why why does this matter well DNA for the purposes of this discussion DNA 346 00:07:03,270 --> 00:07:03,280 for the purposes of this discussion DNA 347 00:07:03,280 --> 00:07:06,350 for the purposes of this discussion DNA is a longlived information storage 348 00:07:06,350 --> 00:07:06,360 is a longlived information storage 349 00:07:06,360 --> 00:07:08,390 is a longlived information storage device okay what you were born with 350 00:07:08,390 --> 00:07:08,400 device okay what you were born with 351 00:07:08,400 --> 00:07:09,710 device okay what you were born with you're going to die with and pass on to 352 00:07:09,710 --> 00:07:09,720 you're going to die with and pass on to 353 00:07:09,720 --> 00:07:12,430 you're going to die with and pass on to your kids DNA lasts for hundreds of 354 00:07:12,430 --> 00:07:12,440 your kids DNA lasts for hundreds of 355 00:07:12,440 --> 00:07:14,990 your kids DNA lasts for hundreds of thousands of years um and it can last 356 00:07:14,990 --> 00:07:15,000 thousands of years um and it can last 357 00:07:15,000 --> 00:07:16,589 thousands of years um and it can last for Generations if you and get pass it 358 00:07:16,589 --> 00:07:16,599 for Generations if you and get pass it 359 00:07:16,599 --> 00:07:18,990 for Generations if you and get pass it on to your kids right so alterations to 360 00:07:18,990 --> 00:07:19,000 on to your kids right so alterations to 361 00:07:19,000 --> 00:07:19,670 on to your kids right so alterations to the 362 00:07:19,670 --> 00:07:19,680 the 363 00:07:19,680 --> 00:07:23,990 the DNA they stick around RNA by its nature 364 00:07:23,990 --> 00:07:24,000 DNA they stick around RNA by its nature 365 00:07:24,000 --> 00:07:28,150 DNA they stick around RNA by its nature is temporary it doesn't last and that 366 00:07:28,150 --> 00:07:28,160 is temporary it doesn't last and that 367 00:07:28,160 --> 00:07:30,270 is temporary it doesn't last and that feature of RNA was part of the sales 368 00:07:30,270 --> 00:07:30,280 feature of RNA was part of the sales 369 00:07:30,280 --> 00:07:33,469 feature of RNA was part of the sales pitch for the vaccine the pseudo iDine 370 00:07:33,469 --> 00:07:33,479 pitch for the vaccine the pseudo iDine 371 00:07:33,479 --> 00:07:34,790 pitch for the vaccine the pseudo iDine was supposed to make the RNA last a 372 00:07:34,790 --> 00:07:34,800 was supposed to make the RNA last a 373 00:07:34,800 --> 00:07:36,670 was supposed to make the RNA last a little bit longer but still it's a 374 00:07:36,670 --> 00:07:36,680 little bit longer but still it's a 375 00:07:36,680 --> 00:07:39,589 little bit longer but still it's a transient phenomenon we're talking hours 376 00:07:39,589 --> 00:07:39,599 transient phenomenon we're talking hours 377 00:07:39,599 --> 00:07:43,189 transient phenomenon we're talking hours to days okay um and then proteins once 378 00:07:43,189 --> 00:07:43,199 to days okay um and then proteins once 379 00:07:43,199 --> 00:07:45,029 to days okay um and then proteins once proteins are made they also don't last 380 00:07:45,029 --> 00:07:45,039 proteins are made they also don't last 381 00:07:45,039 --> 00:07:48,189 proteins are made they also don't last forever they they last for hours to days 382 00:07:48,189 --> 00:07:48,199 forever they they last for hours to days 383 00:07:48,199 --> 00:07:49,589 forever they they last for hours to days but something that makes its way into 384 00:07:49,589 --> 00:07:49,599 but something that makes its way into 385 00:07:49,599 --> 00:07:52,029 but something that makes its way into DNA has the potential to last for a very 386 00:07:52,029 --> 00:07:52,039 DNA has the potential to last for a very 387 00:07:52,039 --> 00:07:54,990 DNA has the potential to last for a very long time maybe a 388 00:07:54,990 --> 00:07:55,000 long time maybe a 389 00:07:55,000 --> 00:07:57,510 long time maybe a lifetime so this is a picture of the 390 00:07:57,510 --> 00:07:57,520 lifetime so this is a picture of the 391 00:07:57,520 --> 00:07:59,309 lifetime so this is a picture of the sequencing read that uh the sequencing 392 00:07:59,309 --> 00:07:59,319 sequencing read that uh the sequencing 393 00:07:59,319 --> 00:08:02,550 sequencing read that uh the sequencing run that I did uh in the lab um from a 394 00:08:02,550 --> 00:08:02,560 run that I did uh in the lab um from a 395 00:08:02,560 --> 00:08:04,350 run that I did uh in the lab um from a couple of batches of the fiser vaccine 396 00:08:04,350 --> 00:08:04,360 couple of batches of the fiser vaccine 397 00:08:04,360 --> 00:08:05,830 couple of batches of the fiser vaccine and all those little bitty lines here 398 00:08:05,830 --> 00:08:05,840 and all those little bitty lines here 399 00:08:05,840 --> 00:08:07,430 and all those little bitty lines here are the little tiny pieces of DNA that 400 00:08:07,430 --> 00:08:07,440 are the little tiny pieces of DNA that 401 00:08:07,440 --> 00:08:09,869 are the little tiny pieces of DNA that are in the vaccine they don't belong 402 00:08:09,869 --> 00:08:09,879 are in the vaccine they don't belong 403 00:08:09,879 --> 00:08:11,909 are in the vaccine they don't belong there they are not part of the sales 404 00:08:11,909 --> 00:08:11,919 there they are not part of the sales 405 00:08:11,919 --> 00:08:13,990 there they are not part of the sales pitch or the marketing campaign and 406 00:08:13,990 --> 00:08:14,000 pitch or the marketing campaign and 407 00:08:14,000 --> 00:08:16,189 pitch or the marketing campaign and they're there there's a lot of them this 408 00:08:16,189 --> 00:08:16,199 they're there there's a lot of them this 409 00:08:16,199 --> 00:08:17,309 they're there there's a lot of them this little graph here in the middle is the 410 00:08:17,309 --> 00:08:17,319 little graph here in the middle is the 411 00:08:17,319 --> 00:08:19,869 little graph here in the middle is the size distribution it Peaks around 100 412 00:08:19,869 --> 00:08:19,879 size distribution it Peaks around 100 413 00:08:19,879 --> 00:08:24,070 size distribution it Peaks around 100 base pairs 120 base pairs so the the DNA 414 00:08:24,070 --> 00:08:24,080 base pairs 120 base pairs so the the DNA 415 00:08:24,080 --> 00:08:26,309 base pairs 120 base pairs so the the DNA pieces that are in the vaccine are short 416 00:08:26,309 --> 00:08:26,319 pieces that are in the vaccine are short 417 00:08:26,319 --> 00:08:29,909 pieces that are in the vaccine are short little pieces 100 120 there's some that 418 00:08:29,909 --> 00:08:29,919 little pieces 100 120 there's some that 419 00:08:29,919 --> 00:08:32,389 little pieces 100 120 there's some that are about 500 base pairs a few that are 420 00:08:32,389 --> 00:08:32,399 are about 500 base pairs a few that are 421 00:08:32,399 --> 00:08:34,350 are about 500 base pairs a few that are even 5,000 but most of them are around 422 00:08:34,350 --> 00:08:34,360 even 5,000 but most of them are around 423 00:08:34,360 --> 00:08:35,909 even 5,000 but most of them are around 100 base 424 00:08:35,909 --> 00:08:35,919 100 base 425 00:08:35,919 --> 00:08:38,790 100 base pairs um why is this 426 00:08:38,790 --> 00:08:38,800 pairs um why is this 427 00:08:38,800 --> 00:08:42,230 pairs um why is this important because the probability of a 428 00:08:42,230 --> 00:08:42,240 important because the probability of a 429 00:08:42,240 --> 00:08:46,310 important because the probability of a DNA piece of DNA integrating into the 430 00:08:46,310 --> 00:08:46,320 DNA piece of DNA integrating into the 431 00:08:46,320 --> 00:08:49,949 DNA piece of DNA integrating into the human genome is unrelated to its size so 432 00:08:49,949 --> 00:08:49,959 human genome is unrelated to its size so 433 00:08:49,959 --> 00:08:52,350 human genome is unrelated to its size so your genome risk is just a function of 434 00:08:52,350 --> 00:08:52,360 your genome risk is just a function of 435 00:08:52,360 --> 00:08:54,750 your genome risk is just a function of how many particles there are so it's 436 00:08:54,750 --> 00:08:54,760 how many particles there are so it's 437 00:08:54,760 --> 00:08:56,750 how many particles there are so it's like you know if you shoot a shotgun at 438 00:08:56,750 --> 00:08:56,760 like you know if you shoot a shotgun at 439 00:08:56,760 --> 00:08:59,470 like you know if you shoot a shotgun at a washboard if you shoot a slug you have 440 00:08:59,470 --> 00:08:59,480 a washboard if you shoot a slug you have 441 00:08:59,480 --> 00:09:00,990 a washboard if you shoot a slug you have some probability of hitting it and if 442 00:09:00,990 --> 00:09:01,000 some probability of hitting it and if 443 00:09:01,000 --> 00:09:02,389 some probability of hitting it and if shoot Buckshot you have a bigger 444 00:09:02,389 --> 00:09:02,399 shoot Buckshot you have a bigger 445 00:09:02,399 --> 00:09:04,430 shoot Buckshot you have a bigger probability of hitting it with some shot 446 00:09:04,430 --> 00:09:04,440 probability of hitting it with some shot 447 00:09:04,440 --> 00:09:06,590 probability of hitting it with some shot right this all these little pieces of 448 00:09:06,590 --> 00:09:06,600 right this all these little pieces of 449 00:09:06,600 --> 00:09:07,829 right this all these little pieces of DNA that are in the vaccine are 450 00:09:07,829 --> 00:09:07,839 DNA that are in the vaccine are 451 00:09:07,839 --> 00:09:12,430 DNA that are in the vaccine are analogous to Buckshot um you have many 452 00:09:12,430 --> 00:09:12,440 analogous to Buckshot um you have many 453 00:09:12,440 --> 00:09:14,389 analogous to Buckshot um you have many many thousands of opportunities to 454 00:09:14,389 --> 00:09:14,399 many thousands of opportunities to 455 00:09:14,399 --> 00:09:16,269 many thousands of opportunities to modify uh 456 00:09:16,269 --> 00:09:16,279 modify uh 457 00:09:16,279 --> 00:09:20,670 modify uh a uh cell of a vaccinated person um the 458 00:09:20,670 --> 00:09:20,680 a uh cell of a vaccinated person um the 459 00:09:20,680 --> 00:09:22,990 a uh cell of a vaccinated person um the pieces are very small because during the 460 00:09:22,990 --> 00:09:23,000 pieces are very small because during the 461 00:09:23,000 --> 00:09:24,630 pieces are very small because during the process they chopped them up to try to 462 00:09:24,630 --> 00:09:24,640 process they chopped them up to try to 463 00:09:24,640 --> 00:09:26,150 process they chopped them up to try to make them go away but they actually 464 00:09:26,150 --> 00:09:26,160 make them go away but they actually 465 00:09:26,160 --> 00:09:28,150 make them go away but they actually increased the hazard of genome 466 00:09:28,150 --> 00:09:28,160 increased the hazard of genome 467 00:09:28,160 --> 00:09:30,110 increased the hazard of genome modification in the process 468 00:09:30,110 --> 00:09:30,120 modification in the process 469 00:09:30,120 --> 00:09:32,230 modification in the process that's how this got 470 00:09:32,230 --> 00:09:32,240 that's how this got 471 00:09:32,240 --> 00:09:37,350 that's how this got here um in my view uh somebody should go 472 00:09:37,350 --> 00:09:37,360 here um in my view uh somebody should go 473 00:09:37,360 --> 00:09:38,150 here um in my view uh somebody should go about 474 00:09:38,150 --> 00:09:38,160 about 475 00:09:38,160 --> 00:09:41,710 about sequencing DNA samples from stem cells 476 00:09:41,710 --> 00:09:41,720 sequencing DNA samples from stem cells 477 00:09:41,720 --> 00:09:43,990 sequencing DNA samples from stem cells of people who are vaccinated and find 478 00:09:43,990 --> 00:09:44,000 of people who are vaccinated and find 479 00:09:44,000 --> 00:09:45,710 of people who are vaccinated and find out if this 480 00:09:45,710 --> 00:09:45,720 out if this 481 00:09:45,720 --> 00:09:49,630 out if this theoretical risk has happened or not I 482 00:09:49,630 --> 00:09:49,640 theoretical risk has happened or not I 483 00:09:49,640 --> 00:09:52,150 theoretical risk has happened or not I think this is a real serious oversight 484 00:09:52,150 --> 00:09:52,160 think this is a real serious oversight 485 00:09:52,160 --> 00:09:54,430 think this is a real serious oversight regulatory oversight that happened at 486 00:09:54,430 --> 00:09:54,440 regulatory oversight that happened at 487 00:09:54,440 --> 00:09:56,310 regulatory oversight that happened at the federal level and somebody should 488 00:09:56,310 --> 00:09:56,320 the federal level and somebody should 489 00:09:56,320 --> 00:09:58,949 the federal level and somebody should force this to happen somewhere Dr B if 490 00:09:58,949 --> 00:09:58,959 force this to happen somewhere Dr B if 491 00:09:58,959 --> 00:10:01,910 force this to happen somewhere Dr B if you now are you capable of doing that 492 00:10:01,910 --> 00:10:01,920 you now are you capable of doing that 493 00:10:01,920 --> 00:10:04,310 you now are you capable of doing that yeah it's we do that kind of thing but 494 00:10:04,310 --> 00:10:04,320 yeah it's we do that kind of thing but 495 00:10:04,320 --> 00:10:06,870 yeah it's we do that kind of thing but in order for it to be trustworthy it by 496 00:10:06,870 --> 00:10:06,880 in order for it to be trustworthy it by 497 00:10:06,880 --> 00:10:08,790 in order for it to be trustworthy it by the public this has to be done by lots 498 00:10:08,790 --> 00:10:08,800 the public this has to be done by lots 499 00:10:08,800 --> 00:10:11,389 the public this has to be done by lots of people right okay um I'll talk to you 500 00:10:11,389 --> 00:10:11,399 of people right okay um I'll talk to you 501 00:10:11,399 --> 00:10:12,910 of people right okay um I'll talk to you more about that later yeah this is our 502 00:10:12,910 --> 00:10:12,920 more about that later yeah this is our 503 00:10:12,920 --> 00:10:14,550 more about that later yeah this is our our deal this is why I know this should 504 00:10:14,550 --> 00:10:14,560 our deal this is why I know this should 505 00:10:14,560 --> 00:10:18,430 our deal this is why I know this should have been done at the federal level 506 00:10:18,430 --> 00:10:18,440 have been done at the federal level 507 00:10:18,440 --> 00:10:21,829 have been done at the federal level okay um so we took all these pieces of 508 00:10:21,829 --> 00:10:21,839 okay um so we took all these pieces of 509 00:10:21,839 --> 00:10:25,310 okay um so we took all these pieces of DNA and we used them to glue together 510 00:10:25,310 --> 00:10:25,320 DNA and we used them to glue together 511 00:10:25,320 --> 00:10:27,509 DNA and we used them to glue together what the source DNA must have been this 512 00:10:27,509 --> 00:10:27,519 what the source DNA must have been this 513 00:10:27,519 --> 00:10:29,710 what the source DNA must have been this is kind of again this is our what we do 514 00:10:29,710 --> 00:10:29,720 is kind of again this is our what we do 515 00:10:29,720 --> 00:10:31,590 is kind of again this is our what we do in the lab all the time and and all 516 00:10:31,590 --> 00:10:31,600 in the lab all the time and and all 517 00:10:31,600 --> 00:10:33,230 in the lab all the time and and all these little little red and green lines 518 00:10:33,230 --> 00:10:33,240 these little little red and green lines 519 00:10:33,240 --> 00:10:34,350 these little little red and green lines here these are all independent little 520 00:10:34,350 --> 00:10:34,360 here these are all independent little 521 00:10:34,360 --> 00:10:37,470 here these are all independent little pieces of DNA um this must have had 522 00:10:37,470 --> 00:10:37,480 pieces of DNA um this must have had 523 00:10:37,480 --> 00:10:39,710 pieces of DNA um this must have had 100,000 pieces of DNA in this this 524 00:10:39,710 --> 00:10:39,720 100,000 pieces of DNA in this this 525 00:10:39,720 --> 00:10:41,509 100,000 pieces of DNA in this this sequencing run and you can put them all 526 00:10:41,509 --> 00:10:41,519 sequencing run and you can put them all 527 00:10:41,519 --> 00:10:44,710 sequencing run and you can put them all back together and see what they came 528 00:10:44,710 --> 00:10:44,720 back together and see what they came 529 00:10:44,720 --> 00:10:46,750 back together and see what they came from is this circle over here it's a 530 00:10:46,750 --> 00:10:46,760 from is this circle over here it's a 531 00:10:46,760 --> 00:10:49,509 from is this circle over here it's a plasmid that you can go shopping online 532 00:10:49,509 --> 00:10:49,519 plasmid that you can go shopping online 533 00:10:49,519 --> 00:10:53,230 plasmid that you can go shopping online to buy from agilant and it's clear that 534 00:10:53,230 --> 00:10:53,240 to buy from agilant and it's clear that 535 00:10:53,240 --> 00:10:55,870 to buy from agilant and it's clear that fiser uh took this plasmid and then they 536 00:10:55,870 --> 00:10:55,880 fiser uh took this plasmid and then they 537 00:10:55,880 --> 00:10:59,670 fiser uh took this plasmid and then they Clon Spike into it um and 538 00:10:59,670 --> 00:10:59,680 Clon Spike into it um and 539 00:10:59,680 --> 00:11:01,590 Clon Spike into it um and they used it for in a process called 540 00:11:01,590 --> 00:11:01,600 they used it for in a process called 541 00:11:01,600 --> 00:11:04,069 they used it for in a process called invitro transcription translation inv 542 00:11:04,069 --> 00:11:04,079 invitro transcription translation inv 543 00:11:04,079 --> 00:11:06,629 invitro transcription translation inv vitro transcription where you 544 00:11:06,629 --> 00:11:06,639 vitro transcription where you 545 00:11:06,639 --> 00:11:09,829 vitro transcription where you feed an RNA polymerase this plasmid and 546 00:11:09,829 --> 00:11:09,839 feed an RNA polymerase this plasmid and 547 00:11:09,839 --> 00:11:11,350 feed an RNA polymerase this plasmid and it makes a whole bunch of mRNA copies 548 00:11:11,350 --> 00:11:11,360 it makes a whole bunch of mRNA copies 549 00:11:11,360 --> 00:11:14,069 it makes a whole bunch of mRNA copies for you okay and then you take this mRNA 550 00:11:14,069 --> 00:11:14,079 for you okay and then you take this mRNA 551 00:11:14,079 --> 00:11:15,629 for you okay and then you take this mRNA you mix it with the the lipid 552 00:11:15,629 --> 00:11:15,639 you mix it with the the lipid 553 00:11:15,639 --> 00:11:17,590 you mix it with the the lipid nanoparticle transection reagent and now 554 00:11:17,590 --> 00:11:17,600 nanoparticle transection reagent and now 555 00:11:17,600 --> 00:11:19,870 nanoparticle transection reagent and now you've got your mRNA vaccine but they 556 00:11:19,870 --> 00:11:19,880 you've got your mRNA vaccine but they 557 00:11:19,880 --> 00:11:21,470 you've got your mRNA vaccine but they failed to get the DNA out before they 558 00:11:21,470 --> 00:11:21,480 failed to get the DNA out before they 559 00:11:21,480 --> 00:11:24,190 failed to get the DNA out before they did this so these little pieces they did 560 00:11:24,190 --> 00:11:24,200 did this so these little pieces they did 561 00:11:24,200 --> 00:11:26,030 did this so these little pieces they did they did make some effort to chop it up 562 00:11:26,030 --> 00:11:26,040 they did make some effort to chop it up 563 00:11:26,040 --> 00:11:27,590 they did make some effort to chop it up so all these little pieces of the plasma 564 00:11:27,590 --> 00:11:27,600 so all these little pieces of the plasma 565 00:11:27,600 --> 00:11:29,670 so all these little pieces of the plasma got packaged in with the RNA that's 566 00:11:29,670 --> 00:11:29,680 got packaged in with the RNA that's 567 00:11:29,680 --> 00:11:32,150 got packaged in with the RNA that's clear as day what happened just from the 568 00:11:32,150 --> 00:11:32,160 clear as day what happened just from the 569 00:11:32,160 --> 00:11:33,910 clear as day what happened just from the forensics of looking at the DNA 570 00:11:33,910 --> 00:11:33,920 forensics of looking at the DNA 571 00:11:33,920 --> 00:11:36,790 forensics of looking at the DNA sequencing okay A little bit of a 572 00:11:36,790 --> 00:11:36,800 sequencing okay A little bit of a 573 00:11:36,800 --> 00:11:39,870 sequencing okay A little bit of a regulatory note here 574 00:11:39,870 --> 00:11:39,880 regulatory note here 575 00:11:39,880 --> 00:11:43,590 regulatory note here um the way you do RNA transcription in 576 00:11:43,590 --> 00:11:43,600 um the way you do RNA transcription in 577 00:11:43,600 --> 00:11:45,269 um the way you do RNA transcription in vitro transcription reactions you have 578 00:11:45,269 --> 00:11:45,279 vitro transcription reactions you have 579 00:11:45,279 --> 00:11:48,990 vitro transcription reactions you have to give it a DNA template okay and you 580 00:11:48,990 --> 00:11:49,000 to give it a DNA template okay and you 581 00:11:49,000 --> 00:11:51,030 to give it a DNA template okay and you can give it a DNA template that is just 582 00:11:51,030 --> 00:11:51,040 can give it a DNA template that is just 583 00:11:51,040 --> 00:11:53,990 can give it a DNA template that is just a synthetic piece of DNA that is only 584 00:11:53,990 --> 00:11:54,000 a synthetic piece of DNA that is only 585 00:11:54,000 --> 00:11:55,670 a synthetic piece of DNA that is only the instructions to make the 586 00:11:55,670 --> 00:11:55,680 the instructions to make the 587 00:11:55,680 --> 00:11:59,350 the instructions to make the RNA and that's what was done for getting 588 00:11:59,350 --> 00:11:59,360 RNA and that's what was done for getting 589 00:11:59,360 --> 00:12:01,509 RNA and that's what was done for getting the um emergency use authorization and 590 00:12:01,509 --> 00:12:01,519 the um emergency use authorization and 591 00:12:01,519 --> 00:12:03,269 the um emergency use authorization and the clinical trial it's called process 592 00:12:03,269 --> 00:12:03,279 the clinical trial it's called process 593 00:12:03,279 --> 00:12:06,350 the clinical trial it's called process one if you look up that kind of stuff um 594 00:12:06,350 --> 00:12:06,360 one if you look up that kind of stuff um 595 00:12:06,360 --> 00:12:08,590 one if you look up that kind of stuff um they made a PCR product of just the bits 596 00:12:08,590 --> 00:12:08,600 they made a PCR product of just the bits 597 00:12:08,600 --> 00:12:10,269 they made a PCR product of just the bits that they wanted and then they did the 598 00:12:10,269 --> 00:12:10,279 that they wanted and then they did the 599 00:12:10,279 --> 00:12:11,710 that they wanted and then they did the invitro transcription made a bunch of 600 00:12:11,710 --> 00:12:11,720 invitro transcription made a bunch of 601 00:12:11,720 --> 00:12:14,030 invitro transcription made a bunch of RNA of that there was no plasma DNA to 602 00:12:14,030 --> 00:12:14,040 RNA of that there was no plasma DNA to 603 00:12:14,040 --> 00:12:16,790 RNA of that there was no plasma DNA to contaminate the stuff that was used for 604 00:12:16,790 --> 00:12:16,800 contaminate the stuff that was used for 605 00:12:16,800 --> 00:12:19,990 contaminate the stuff that was used for the trial but that that making that PCR 606 00:12:19,990 --> 00:12:20,000 the trial but that that making that PCR 607 00:12:20,000 --> 00:12:22,629 the trial but that that making that PCR product doesn't scale the way that was 608 00:12:22,629 --> 00:12:22,639 product doesn't scale the way that was 609 00:12:22,639 --> 00:12:25,069 product doesn't scale the way that was necessary to vaccinate the whole world 610 00:12:25,069 --> 00:12:25,079 necessary to vaccinate the whole world 611 00:12:25,079 --> 00:12:27,150 necessary to vaccinate the whole world so a cheaper way to scale up the 612 00:12:27,150 --> 00:12:27,160 so a cheaper way to scale up the 613 00:12:27,160 --> 00:12:29,430 so a cheaper way to scale up the production of this template is to clone 614 00:12:29,430 --> 00:12:29,440 production of this template is to clone 615 00:12:29,440 --> 00:12:31,870 production of this template is to clone that PCR product into this plasma Vector 616 00:12:31,870 --> 00:12:31,880 that PCR product into this plasma Vector 617 00:12:31,880 --> 00:12:33,870 that PCR product into this plasma Vector put the plasma Vector into bacteria and 618 00:12:33,870 --> 00:12:33,880 put the plasma Vector into bacteria and 619 00:12:33,880 --> 00:12:35,230 put the plasma Vector into bacteria and then you grow up big Vats of the 620 00:12:35,230 --> 00:12:35,240 then you grow up big Vats of the 621 00:12:35,240 --> 00:12:36,790 then you grow up big Vats of the bacteria they make a lot of the plasma 622 00:12:36,790 --> 00:12:36,800 bacteria they make a lot of the plasma 623 00:12:36,800 --> 00:12:39,350 bacteria they make a lot of the plasma DNA for you then you use that plasma DNA 624 00:12:39,350 --> 00:12:39,360 DNA for you then you use that plasma DNA 625 00:12:39,360 --> 00:12:40,829 DNA for you then you use that plasma DNA as the template to drive this 626 00:12:40,829 --> 00:12:40,839 as the template to drive this 627 00:12:40,839 --> 00:12:43,430 as the template to drive this transcription reaction to make your 628 00:12:43,430 --> 00:12:43,440 transcription reaction to make your 629 00:12:43,440 --> 00:12:45,470 transcription reaction to make your RNA 630 00:12:45,470 --> 00:12:45,480 RNA 631 00:12:45,480 --> 00:12:47,829 RNA um and that's where how the 632 00:12:47,829 --> 00:12:47,839 um and that's where how the 633 00:12:47,839 --> 00:12:50,629 um and that's where how the contamination ended up in the production 634 00:12:50,629 --> 00:12:50,639 contamination ended up in the production 635 00:12:50,639 --> 00:12:52,550 contamination ended up in the production batches even though it was not in the 636 00:12:52,550 --> 00:12:52,560 batches even though it was not in the 637 00:12:52,560 --> 00:12:55,069 batches even though it was not in the stuff that was used for the 638 00:12:55,069 --> 00:12:55,079 stuff that was used for the 639 00:12:55,079 --> 00:12:56,710 stuff that was used for the authorization 640 00:12:56,710 --> 00:12:56,720 authorization 641 00:12:56,720 --> 00:12:58,509 authorization trials so I know it's a little bit of 642 00:12:58,509 --> 00:12:58,519 trials so I know it's a little bit of 643 00:12:58,519 --> 00:13:00,310 trials so I know it's a little bit of nerdy science but it has 644 00:13:00,310 --> 00:13:00,320 nerdy science but it has 645 00:13:00,320 --> 00:13:06,949 nerdy science but it has regulatory implications for for you 646 00:13:06,949 --> 00:13:06,959 647 00:13:06,959 --> 00:13:08,509 guys 648 00:13:08,509 --> 00:13:08,519 guys 649 00:13:08,519 --> 00:13:11,430 guys um we can we can measure the quantity of 650 00:13:11,430 --> 00:13:11,440 um we can we can measure the quantity of 651 00:13:11,440 --> 00:13:13,670 um we can we can measure the quantity of this stuff pretty easy in the lab this 652 00:13:13,670 --> 00:13:13,680 this stuff pretty easy in the lab this 653 00:13:13,680 --> 00:13:15,590 this stuff pretty easy in the lab this is we're we're good at doing this kind 654 00:13:15,590 --> 00:13:15,600 is we're we're good at doing this kind 655 00:13:15,600 --> 00:13:16,910 is we're we're good at doing this kind of stuff this is the same we made a 656 00:13:16,910 --> 00:13:16,920 of stuff this is the same we made a 657 00:13:16,920 --> 00:13:19,870 of stuff this is the same we made a little PC a colleague of mine at at MIT 658 00:13:19,870 --> 00:13:19,880 little PC a colleague of mine at at MIT 659 00:13:19,880 --> 00:13:21,949 little PC a colleague of mine at at MIT made you know from who who used to work 660 00:13:21,949 --> 00:13:21,959 made you know from who who used to work 661 00:13:21,959 --> 00:13:25,350 made you know from who who used to work for the the broad Institute at MIT he he 662 00:13:25,350 --> 00:13:25,360 for the the broad Institute at MIT he he 663 00:13:25,360 --> 00:13:29,069 for the the broad Institute at MIT he he made a little uh PCR test and we cloned 664 00:13:29,069 --> 00:13:29,079 made a little uh PCR test and we cloned 665 00:13:29,079 --> 00:13:31,389 made a little uh PCR test and we cloned here this is similar to the PCR test 666 00:13:31,389 --> 00:13:31,399 here this is similar to the PCR test 667 00:13:31,399 --> 00:13:33,710 here this is similar to the PCR test that you all took for the spit test okay 668 00:13:33,710 --> 00:13:33,720 that you all took for the spit test okay 669 00:13:33,720 --> 00:13:36,310 that you all took for the spit test okay same same idea and same expertise behind 670 00:13:36,310 --> 00:13:36,320 same same idea and same expertise behind 671 00:13:36,320 --> 00:13:38,829 same same idea and same expertise behind it and we can quantify exactly how much 672 00:13:38,829 --> 00:13:38,839 it and we can quantify exactly how much 673 00:13:38,839 --> 00:13:40,790 it and we can quantify exactly how much of this stuff is in a vaccine or any 674 00:13:40,790 --> 00:13:40,800 of this stuff is in a vaccine or any 675 00:13:40,800 --> 00:13:42,590 of this stuff is in a vaccine or any other tissue 676 00:13:42,590 --> 00:13:42,600 other tissue 677 00:13:42,600 --> 00:13:46,590 other tissue and you know I estimate that there were 678 00:13:46,590 --> 00:13:46,600 and you know I estimate that there were 679 00:13:46,600 --> 00:13:49,590 and you know I estimate that there were about two billion copies of the one 680 00:13:49,590 --> 00:13:49,600 about two billion copies of the one 681 00:13:49,600 --> 00:13:52,470 about two billion copies of the one piece that we're looking for in every 682 00:13:52,470 --> 00:13:52,480 piece that we're looking for in every 683 00:13:52,480 --> 00:13:55,069 piece that we're looking for in every dose and if you looked back at that map 684 00:13:55,069 --> 00:13:55,079 dose and if you looked back at that map 685 00:13:55,079 --> 00:13:57,509 dose and if you looked back at that map I showed you where it's all these little 686 00:13:57,509 --> 00:13:57,519 I showed you where it's all these little 687 00:13:57,519 --> 00:13:58,829 I showed you where it's all these little the the little piece that we're looking 688 00:13:58,829 --> 00:13:58,839 the the little piece that we're looking 689 00:13:58,839 --> 00:14:00,949 the the little piece that we're looking for is just that little bit right there 690 00:14:00,949 --> 00:14:00,959 for is just that little bit right there 691 00:14:00,959 --> 00:14:04,629 for is just that little bit right there okay but if you see 2 billion copies of 692 00:14:04,629 --> 00:14:04,639 okay but if you see 2 billion copies of 693 00:14:04,639 --> 00:14:07,590 okay but if you see 2 billion copies of this there's about 200 billion of 694 00:14:07,590 --> 00:14:07,600 this there's about 200 billion of 695 00:14:07,600 --> 00:14:11,069 this there's about 200 billion of everything else so what this means is 696 00:14:11,069 --> 00:14:11,079 everything else so what this means is 697 00:14:11,079 --> 00:14:13,389 everything else so what this means is that there's probably about 200 billion 698 00:14:13,389 --> 00:14:13,399 that there's probably about 200 billion 699 00:14:13,399 --> 00:14:16,150 that there's probably about 200 billion pieces of this plasma 700 00:14:16,150 --> 00:14:16,160 pieces of this plasma 701 00:14:16,160 --> 00:14:19,350 pieces of this plasma DNA in in each dose of the 702 00:14:19,350 --> 00:14:19,360 DNA in in each dose of the 703 00:14:19,360 --> 00:14:22,389 DNA in in each dose of the vaccine and it's encapsulated in this 704 00:14:22,389 --> 00:14:22,399 vaccine and it's encapsulated in this 705 00:14:22,399 --> 00:14:24,829 vaccine and it's encapsulated in this lipid nanop particle so it's ready to be 706 00:14:24,829 --> 00:14:24,839 lipid nanop particle so it's ready to be 707 00:14:24,839 --> 00:14:26,670 lipid nanop particle so it's ready to be delivered inside the 708 00:14:26,670 --> 00:14:26,680 delivered inside the 709 00:14:26,680 --> 00:14:31,030 delivered inside the cell okay this is a bad 710 00:14:31,030 --> 00:14:31,040 711 00:14:31,040 --> 00:14:34,550 idea my conclusions from this 712 00:14:34,550 --> 00:14:34,560 idea my conclusions from this 713 00:14:34,560 --> 00:14:39,509 idea my conclusions from this um we should check a bunch of people 714 00:14:39,509 --> 00:14:39,519 715 00:14:39,519 --> 00:14:41,949 ah my conclusions from this are I should 716 00:14:41,949 --> 00:14:41,959 ah my conclusions from this are I should 717 00:14:41,959 --> 00:14:44,189 ah my conclusions from this are I should learn how to run 718 00:14:44,189 --> 00:14:44,199 learn how to run 719 00:14:44,199 --> 00:14:46,629 learn how to run PowerPoint um we should check a bunch of 720 00:14:46,629 --> 00:14:46,639 PowerPoint um we should check a bunch of 721 00:14:46,639 --> 00:14:47,790 PowerPoint um we should check a bunch of vaccinated 722 00:14:47,790 --> 00:14:47,800 vaccinated 723 00:14:47,800 --> 00:14:50,910 vaccinated people getting tissue 724 00:14:50,910 --> 00:14:50,920 people getting tissue 725 00:14:50,920 --> 00:14:53,590 people getting tissue samples especially if we focus on harmed 726 00:14:53,590 --> 00:14:53,600 samples especially if we focus on harmed 727 00:14:53,600 --> 00:14:55,790 samples especially if we focus on harmed people but that's not necessary we could 728 00:14:55,790 --> 00:14:55,800 people but that's not necessary we could 729 00:14:55,800 --> 00:14:58,509 people but that's not necessary we could also just focus on regular unharmed 730 00:14:58,509 --> 00:14:58,519 also just focus on regular unharmed 731 00:14:58,519 --> 00:15:01,310 also just focus on regular unharmed people people and see if this plasma DNA 732 00:15:01,310 --> 00:15:01,320 people people and see if this plasma DNA 733 00:15:01,320 --> 00:15:03,509 people people and see if this plasma DNA is integrating into the genomes of any 734 00:15:03,509 --> 00:15:03,519 is integrating into the genomes of any 735 00:15:03,519 --> 00:15:06,110 is integrating into the genomes of any of their stem cells it leaves a calling 736 00:15:06,110 --> 00:15:06,120 of their stem cells it leaves a calling 737 00:15:06,120 --> 00:15:09,310 of their stem cells it leaves a calling card that is there one of the reasons 738 00:15:09,310 --> 00:15:09,320 card that is there one of the reasons 739 00:15:09,320 --> 00:15:11,230 card that is there one of the reasons why I'm focusing on this is 740 00:15:11,230 --> 00:15:11,240 why I'm focusing on this is 741 00:15:11,240 --> 00:15:13,350 why I'm focusing on this is because it's kind of different from a 742 00:15:13,350 --> 00:15:13,360 because it's kind of different from a 743 00:15:13,360 --> 00:15:14,990 because it's kind of different from a lot of the other imagined harms where 744 00:15:14,990 --> 00:15:15,000 lot of the other imagined harms where 745 00:15:15,000 --> 00:15:16,949 lot of the other imagined harms where you can't really prove it you can be 746 00:15:16,949 --> 00:15:16,959 you can't really prove it you can be 747 00:15:16,959 --> 00:15:18,509 you can't really prove it you can be suspicious because of the timing but you 748 00:15:18,509 --> 00:15:18,519 suspicious because of the timing but you 749 00:15:18,519 --> 00:15:20,310 suspicious because of the timing but you can't really prove it this one you can 750 00:15:20,310 --> 00:15:20,320 can't really prove it this one you can 751 00:15:20,320 --> 00:15:22,230 can't really prove it this one you can prove it because it leaves a calling 752 00:15:22,230 --> 00:15:22,240 prove it because it leaves a calling 753 00:15:22,240 --> 00:15:25,030 prove it because it leaves a calling card okay 754 00:15:25,030 --> 00:15:25,040 card okay 755 00:15:25,040 --> 00:15:27,550 card okay um you find it in the stem cells of 756 00:15:27,550 --> 00:15:27,560 um you find it in the stem cells of 757 00:15:27,560 --> 00:15:29,309 um you find it in the stem cells of harmed people 758 00:15:29,309 --> 00:15:29,319 harmed people 759 00:15:29,319 --> 00:15:31,910 harmed people it's equivalent to finding a certain 760 00:15:31,910 --> 00:15:31,920 it's equivalent to finding a certain 761 00:15:31,920 --> 00:15:34,670 it's equivalent to finding a certain type of lid in someone who is now dead 762 00:15:34,670 --> 00:15:34,680 type of lid in someone who is now dead 763 00:15:34,680 --> 00:15:36,990 type of lid in someone who is now dead it's pretty reasonable to assume that 764 00:15:36,990 --> 00:15:37,000 it's pretty reasonable to assume that 765 00:15:37,000 --> 00:15:38,389 it's pretty reasonable to assume that that's what caused 766 00:15:38,389 --> 00:15:38,399 that's what caused 767 00:15:38,399 --> 00:15:41,949 that's what caused it uh the Royal we meaning you guys 768 00:15:41,949 --> 00:15:41,959 it uh the Royal we meaning you guys 769 00:15:41,959 --> 00:15:46,350 it uh the Royal we meaning you guys should insist that the FDA Force fizer 770 00:15:46,350 --> 00:15:46,360 should insist that the FDA Force fizer 771 00:15:46,360 --> 00:15:48,269 should insist that the FDA Force fizer to get the DNA out of the 772 00:15:48,269 --> 00:15:48,279 to get the DNA out of the 773 00:15:48,279 --> 00:15:51,269 to get the DNA out of the booster and all future versions of this 774 00:15:51,269 --> 00:15:51,279 booster and all future versions of this 775 00:15:51,279 --> 00:15:54,230 booster and all future versions of this vaccine I'm a real fan of this platform 776 00:15:54,230 --> 00:15:54,240 vaccine I'm a real fan of this platform 777 00:15:54,240 --> 00:15:56,749 vaccine I'm a real fan of this platform okay I think it has the potential to 778 00:15:56,749 --> 00:15:56,759 okay I think it has the potential to 779 00:15:56,759 --> 00:15:59,309 okay I think it has the potential to treat cancers I really 780 00:15:59,309 --> 00:15:59,319 treat cancers I really 781 00:15:59,319 --> 00:16:01,790 treat cancers I really believe that this platform is 782 00:16:01,790 --> 00:16:01,800 believe that this platform is 783 00:16:01,800 --> 00:16:04,550 believe that this platform is revolutionary and in your lifetime there 784 00:16:04,550 --> 00:16:04,560 revolutionary and in your lifetime there 785 00:16:04,560 --> 00:16:08,550 revolutionary and in your lifetime there will be mRNA vaccines against antigens 786 00:16:08,550 --> 00:16:08,560 will be mRNA vaccines against antigens 787 00:16:08,560 --> 00:16:11,910 will be mRNA vaccines against antigens in your unique cancer okay and but they 788 00:16:11,910 --> 00:16:11,920 in your unique cancer okay and but they 789 00:16:11,920 --> 00:16:14,710 in your unique cancer okay and but they got to get this problem fixed okay and I 790 00:16:14,710 --> 00:16:14,720 got to get this problem fixed okay and I 791 00:16:14,720 --> 00:16:16,350 got to get this problem fixed okay and I and I right now I think the financial 792 00:16:16,350 --> 00:16:16,360 and I right now I think the financial 793 00:16:16,360 --> 00:16:18,509 and I right now I think the financial incentives are too great to just keep on 794 00:16:18,509 --> 00:16:18,519 incentives are too great to just keep on 795 00:16:18,519 --> 00:16:20,509 incentives are too great to just keep on rolling with it and it's going to take 796 00:16:20,509 --> 00:16:20,519 rolling with it and it's going to take 797 00:16:20,519 --> 00:16:25,230 rolling with it and it's going to take some encouragement to get it 798 00:16:25,230 --> 00:16:25,240 799 00:16:25,240 --> 00:16:28,269 out the regulation that allowed this DNA 800 00:16:28,269 --> 00:16:28,279 out the regulation that allowed this DNA 801 00:16:28,279 --> 00:16:30,030 out the regulation that allowed this DNA to there in the first place I don't 802 00:16:30,030 --> 00:16:30,040 to there in the first place I don't 803 00:16:30,040 --> 00:16:31,509 to there in the first place I don't think that this the amounts there 804 00:16:31,509 --> 00:16:31,519 think that this the amounts there 805 00:16:31,519 --> 00:16:33,710 think that this the amounts there actually exceed the regulation 806 00:16:33,710 --> 00:16:33,720 actually exceed the regulation 807 00:16:33,720 --> 00:16:37,749 actually exceed the regulation limits in some batches it may in in the 808 00:16:37,749 --> 00:16:37,759 limits in some batches it may in in the 809 00:16:37,759 --> 00:16:39,389 limits in some batches it may in in the two batches that I looked at one of them 810 00:16:39,389 --> 00:16:39,399 two batches that I looked at one of them 811 00:16:39,399 --> 00:16:40,949 two batches that I looked at one of them it was just under the limit and one it 812 00:16:40,949 --> 00:16:40,959 it was just under the limit and one it 813 00:16:40,959 --> 00:16:43,309 it was just under the limit and one it was just over the limit my colleague in 814 00:16:43,309 --> 00:16:43,319 was just over the limit my colleague in 815 00:16:43,319 --> 00:16:44,949 was just over the limit my colleague in Boston has looked at a fair number of 816 00:16:44,949 --> 00:16:44,959 Boston has looked at a fair number of 817 00:16:44,959 --> 00:16:46,949 Boston has looked at a fair number of other batches and there's a handful that 818 00:16:46,949 --> 00:16:46,959 other batches and there's a handful that 819 00:16:46,959 --> 00:16:48,470 other batches and there's a handful that are super high and there's a handful 820 00:16:48,470 --> 00:16:48,480 are super high and there's a handful 821 00:16:48,480 --> 00:16:50,870 are super high and there's a handful that are super low but the fact that 822 00:16:50,870 --> 00:16:50,880 that are super low but the fact that 823 00:16:50,880 --> 00:16:53,749 that are super low but the fact that there is a regulatory threshold for 824 00:16:53,749 --> 00:16:53,759 there is a regulatory threshold for 825 00:16:53,759 --> 00:16:55,590 there is a regulatory threshold for amount of DNA allowed in a 826 00:16:55,590 --> 00:16:55,600 amount of DNA allowed in a 827 00:16:55,600 --> 00:16:59,509 amount of DNA allowed in a vaccine is a throwback to an Era when we 828 00:16:59,509 --> 00:16:59,519 vaccine is a throwback to an Era when we 829 00:16:59,519 --> 00:17:00,910 vaccine is a throwback to an Era when we were talking about vaccines that were 830 00:17:00,910 --> 00:17:00,920 were talking about vaccines that were 831 00:17:00,920 --> 00:17:03,509 were talking about vaccines that were like a recombinant protein that you or a 832 00:17:03,509 --> 00:17:03,519 like a recombinant protein that you or a 833 00:17:03,519 --> 00:17:05,630 like a recombinant protein that you or a dead virus you know attenuated virus 834 00:17:05,630 --> 00:17:05,640 dead virus you know attenuated virus 835 00:17:05,640 --> 00:17:07,590 dead virus you know attenuated virus produced in in ch cells or something 836 00:17:07,590 --> 00:17:07,600 produced in in ch cells or something 837 00:17:07,600 --> 00:17:10,590 produced in in ch cells or something like that and the DNA that might be in 838 00:17:10,590 --> 00:17:10,600 like that and the DNA that might be in 839 00:17:10,600 --> 00:17:13,590 like that and the DNA that might be in it is naked DNA and you might have a 840 00:17:13,590 --> 00:17:13,600 it is naked DNA and you might have a 841 00:17:13,600 --> 00:17:15,870 it is naked DNA and you might have a little bit in the vaccine that's not a 842 00:17:15,870 --> 00:17:15,880 little bit in the vaccine that's not a 843 00:17:15,880 --> 00:17:18,710 little bit in the vaccine that's not a problem because naked DNA gets chewed up 844 00:17:18,710 --> 00:17:18,720 problem because naked DNA gets chewed up 845 00:17:18,720 --> 00:17:20,829 problem because naked DNA gets chewed up immediately upon vaccination and there's 846 00:17:20,829 --> 00:17:20,839 immediately upon vaccination and there's 847 00:17:20,839 --> 00:17:22,470 immediately upon vaccination and there's no real mechanism for it to get inside 848 00:17:22,470 --> 00:17:22,480 no real mechanism for it to get inside 849 00:17:22,480 --> 00:17:25,110 no real mechanism for it to get inside to cells they inappropriately applied 850 00:17:25,110 --> 00:17:25,120 to cells they inappropriately applied 851 00:17:25,120 --> 00:17:27,990 to cells they inappropriately applied that regulatory limit to this new kind 852 00:17:27,990 --> 00:17:28,000 that regulatory limit to this new kind 853 00:17:28,000 --> 00:17:29,510 that regulatory limit to this new kind of seene where everything is 854 00:17:29,510 --> 00:17:29,520 of seene where everything is 855 00:17:29,520 --> 00:17:31,430 of seene where everything is encapsulated in this lipid nanoparticle 856 00:17:31,430 --> 00:17:31,440 encapsulated in this lipid nanoparticle 857 00:17:31,440 --> 00:17:34,029 encapsulated in this lipid nanoparticle it's basically packaged in a synthetic 858 00:17:34,029 --> 00:17:34,039 it's basically packaged in a synthetic 859 00:17:34,039 --> 00:17:36,430 it's basically packaged in a synthetic virus able to dump its contents into a 860 00:17:36,430 --> 00:17:36,440 virus able to dump its contents into a 861 00:17:36,440 --> 00:17:40,230 virus able to dump its contents into a cell so I'm thinking handlon razor here 862 00:17:40,230 --> 00:17:40,240 cell so I'm thinking handlon razor here 863 00:17:40,240 --> 00:17:41,470 cell so I'm thinking handlon razor here okay I don't think there was anything 864 00:17:41,470 --> 00:17:41,480 okay I don't think there was anything 865 00:17:41,480 --> 00:17:43,909 okay I don't think there was anything nefarious here I think it was just kind 866 00:17:43,909 --> 00:17:43,919 nefarious here I think it was just kind 867 00:17:43,919 --> 00:17:47,270 nefarious here I think it was just kind of a dumb oversight and it's going to 868 00:17:47,270 --> 00:17:47,280 of a dumb oversight and it's going to 869 00:17:47,280 --> 00:17:49,110 of a dumb oversight and it's going to take because the financial incentives 870 00:17:49,110 --> 00:17:49,120 take because the financial incentives 871 00:17:49,120 --> 00:17:51,190 take because the financial incentives are so great to just you know sweep it 872 00:17:51,190 --> 00:17:51,200 are so great to just you know sweep it 873 00:17:51,200 --> 00:17:53,830 are so great to just you know sweep it under the rug and the career incentives 874 00:17:53,830 --> 00:17:53,840 under the rug and the career incentives 875 00:17:53,840 --> 00:17:55,149 under the rug and the career incentives of people that approved this are going 876 00:17:55,149 --> 00:17:55,159 of people that approved this are going 877 00:17:55,159 --> 00:17:56,710 of people that approved this are going to be there's nothing wrong here you 878 00:17:56,710 --> 00:17:56,720 to be there's nothing wrong here you 879 00:17:56,720 --> 00:17:57,789 to be there's nothing wrong here you know it's going to take some 880 00:17:57,789 --> 00:17:57,799 know it's going to take some 881 00:17:57,799 --> 00:18:00,669 know it's going to take some encouragement to make people prove that 882 00:18:00,669 --> 00:18:00,679 encouragement to make people prove that 883 00:18:00,679 --> 00:18:02,029 encouragement to make people prove that it's 884 00:18:02,029 --> 00:18:02,039 it's 885 00:18:02,039 --> 00:18:04,750 it's okay but I really believe this was an 886 00:18:04,750 --> 00:18:04,760 okay but I really believe this was an 887 00:18:04,760 --> 00:18:07,110 okay but I really believe this was an inappropriate application of an old 888 00:18:07,110 --> 00:18:07,120 inappropriate application of an old 889 00:18:07,120 --> 00:18:09,310 inappropriate application of an old school regulation to a new kind of 890 00:18:09,310 --> 00:18:09,320 school regulation to a new kind of 891 00:18:09,320 --> 00:18:11,470 school regulation to a new kind of vaccine and who knows maybe we'll check 892 00:18:11,470 --> 00:18:11,480 vaccine and who knows maybe we'll check 893 00:18:11,480 --> 00:18:13,029 vaccine and who knows maybe we'll check a bunch of people and we'll find out for 894 00:18:13,029 --> 00:18:13,039 a bunch of people and we'll find out for 895 00:18:13,039 --> 00:18:15,990 a bunch of people and we'll find out for sure that this is indeed not a problem 896 00:18:15,990 --> 00:18:16,000 sure that this is indeed not a problem 897 00:18:16,000 --> 00:18:17,710 sure that this is indeed not a problem and that will do the public good if we 898 00:18:17,710 --> 00:18:17,720 and that will do the public good if we 899 00:18:17,720 --> 00:18:19,909 and that will do the public good if we prove that Mr 900 00:18:19,909 --> 00:18:19,919 prove that Mr 901 00:18:19,919 --> 00:18:25,789 prove that Mr chairman Senator 902 00:18:25,789 --> 00:18:25,799 903 00:18:25,799 --> 00:18:28,870 cash Dr we 904 00:18:28,870 --> 00:18:28,880 cash Dr we 905 00:18:28,880 --> 00:18:30,149 cash Dr we uh 906 00:18:30,149 --> 00:18:30,159 uh 907 00:18:30,159 --> 00:18:32,149 uh appreciate all that you're saying 908 00:18:32,149 --> 00:18:32,159 appreciate all that you're saying 909 00:18:32,159 --> 00:18:33,630 appreciate all that you're saying although we don't understand most of 910 00:18:33,630 --> 00:18:33,640 although we don't understand most of 911 00:18:33,640 --> 00:18:36,149 although we don't understand most of what you're saying sorry I have a 912 00:18:36,149 --> 00:18:36,159 what you're saying sorry I have a 913 00:18:36,159 --> 00:18:37,669 what you're saying sorry I have a limited amount of time someone down 914 00:18:37,669 --> 00:18:37,679 limited amount of time someone down 915 00:18:37,679 --> 00:18:39,270 limited amount of time someone down there agreeing a lot so you must have 916 00:18:39,270 --> 00:18:39,280 there agreeing a lot so you must have 917 00:18:39,280 --> 00:18:44,350 there agreeing a lot so you must have been a chemistry major or something but 918 00:18:44,350 --> 00:18:44,360 919 00:18:44,360 --> 00:18:47,350 um what what is going to help us is to 920 00:18:47,350 --> 00:18:47,360 um what what is going to help us is to 921 00:18:47,360 --> 00:18:49,669 um what what is going to help us is to know what what you can do like checking 922 00:18:49,669 --> 00:18:49,679 know what what you can do like checking 923 00:18:49,679 --> 00:18:51,909 know what what you can do like checking a bunch of vaccinated people of course 924 00:18:51,909 --> 00:18:51,919 a bunch of vaccinated people of course 925 00:18:51,919 --> 00:18:56,350 a bunch of vaccinated people of course that's what I can do right but we are 926 00:18:56,350 --> 00:18:56,360 that's what I can do right but we are 927 00:18:56,360 --> 00:18:58,029 that's what I can do right but we are are not going to have any authority over 928 00:18:58,029 --> 00:18:58,039 are not going to have any authority over 929 00:18:58,039 --> 00:19:00,149 are not going to have any authority over the 930 00:19:00,149 --> 00:19:00,159 the 931 00:19:00,159 --> 00:19:04,110 the FDA to force fizer to do something I 932 00:19:04,110 --> 00:19:04,120 FDA to force fizer to do something I 933 00:19:04,120 --> 00:19:07,549 FDA to force fizer to do something I mean that's a federal issue uh yes 934 00:19:07,549 --> 00:19:07,559 mean that's a federal issue uh yes 935 00:19:07,559 --> 00:19:09,230 mean that's a federal issue uh yes unless you can explain to me how we 936 00:19:09,230 --> 00:19:09,240 unless you can explain to me how we 937 00:19:09,240 --> 00:19:11,990 unless you can explain to me how we could do something at a state level you 938 00:19:11,990 --> 00:19:12,000 could do something at a state level you 939 00:19:12,000 --> 00:19:13,470 could do something at a state level you know some of this is going to have to be 940 00:19:13,470 --> 00:19:13,480 know some of this is going to have to be 941 00:19:13,480 --> 00:19:17,510 know some of this is going to have to be taken up by our Congressman right so 942 00:19:17,510 --> 00:19:17,520 taken up by our Congressman right so 943 00:19:17,520 --> 00:19:19,549 taken up by our Congressman right so just and whatever your remaining 944 00:19:19,549 --> 00:19:19,559 just and whatever your remaining 945 00:19:19,559 --> 00:19:22,110 just and whatever your remaining comments are just keep in mind that I 946 00:19:22,110 --> 00:19:22,120 comments are just keep in mind that I 947 00:19:22,120 --> 00:19:24,470 comments are just keep in mind that I understand what what we can do and and 948 00:19:24,470 --> 00:19:24,480 understand what what we can do and and 949 00:19:24,480 --> 00:19:26,149 understand what what we can do and and really these technical things you're 950 00:19:26,149 --> 00:19:26,159 really these technical things you're 951 00:19:26,159 --> 00:19:27,950 really these technical things you're throwing out us as as a senator from 952 00:19:27,950 --> 00:19:27,960 throwing out us as as a senator from 953 00:19:27,960 --> 00:19:29,310 throwing out us as as a senator from Green has already mentioned we're going 954 00:19:29,310 --> 00:19:29,320 Green has already mentioned we're going 955 00:19:29,320 --> 00:19:31,710 Green has already mentioned we're going to throw right back at you because 956 00:19:31,710 --> 00:19:31,720 to throw right back at you because 957 00:19:31,720 --> 00:19:34,430 to throw right back at you because there's no you're the expert so if 958 00:19:34,430 --> 00:19:34,440 there's no you're the expert so if 959 00:19:34,440 --> 00:19:35,909 there's no you're the expert so if someone's going to do this 960 00:19:35,909 --> 00:19:35,919 someone's going to do this 961 00:19:35,919 --> 00:19:37,909 someone's going to do this testing uh I don't know who we would 962 00:19:37,909 --> 00:19:37,919 testing uh I don't know who we would 963 00:19:37,919 --> 00:19:39,950 testing uh I don't know who we would find to do it well other than someone 964 00:19:39,950 --> 00:19:39,960 find to do it well other than someone 965 00:19:39,960 --> 00:19:41,710 find to do it well other than someone like you I can do it lots of other 966 00:19:41,710 --> 00:19:41,720 like you I can do it lots of other 967 00:19:41,720 --> 00:19:44,990 like you I can do it lots of other people can do it um I've had a lot of of 968 00:19:44,990 --> 00:19:45,000 people can do it um I've had a lot of of 969 00:19:45,000 --> 00:19:47,909 people can do it um I've had a lot of of um so coroners and pharmacists from 970 00:19:47,909 --> 00:19:47,919 um so coroners and pharmacists from 971 00:19:47,919 --> 00:19:50,230 um so coroners and pharmacists from different states contact me I posted all 972 00:19:50,230 --> 00:19:50,240 different states contact me I posted all 973 00:19:50,240 --> 00:19:52,789 different states contact me I posted all this on Twitter right and so people will 974 00:19:52,789 --> 00:19:52,799 this on Twitter right and so people will 975 00:19:52,799 --> 00:19:54,630 this on Twitter right and so people will private message me and say I'd like to 976 00:19:54,630 --> 00:19:54,640 private message me and say I'd like to 977 00:19:54,640 --> 00:19:56,630 private message me and say I'd like to send you some samples and then they say 978 00:19:56,630 --> 00:19:56,640 send you some samples and then they say 979 00:19:56,640 --> 00:19:59,190 send you some samples and then they say oops State leg regulation will not allow 980 00:19:59,190 --> 00:19:59,200 oops State leg regulation will not allow 981 00:19:59,200 --> 00:20:01,630 oops State leg regulation will not allow our coroner to send any samples for this 982 00:20:01,630 --> 00:20:01,640 our coroner to send any samples for this 983 00:20:01,640 --> 00:20:03,630 our coroner to send any samples for this so there are some policy 984 00:20:03,630 --> 00:20:03,640 so there are some policy 985 00:20:03,640 --> 00:20:07,789 so there are some policy issues that can allow this to happen or 986 00:20:07,789 --> 00:20:07,799 issues that can allow this to happen or 987 00:20:07,799 --> 00:20:09,710 issues that can allow this to happen or impede it I don't know what they are but 988 00:20:09,710 --> 00:20:09,720 impede it I don't know what they are but 989 00:20:09,720 --> 00:20:12,270 impede it I don't know what they are but I hear that there are mechanisms in 990 00:20:12,270 --> 00:20:12,280 I hear that there are mechanisms in 991 00:20:12,280 --> 00:20:14,149 I hear that there are mechanisms in place that 992 00:20:14,149 --> 00:20:14,159 place that 993 00:20:14,159 --> 00:20:16,310 place that will you know you can 994 00:20:16,310 --> 00:20:16,320 will you know you can 995 00:20:16,320 --> 00:20:19,510 will you know you can encourage people to do things or not do 996 00:20:19,510 --> 00:20:19,520 encourage people to do things or not do 997 00:20:19,520 --> 00:20:21,070 encourage people to do things or not do things but that's your wheelhouse not 998 00:20:21,070 --> 00:20:21,080 things but that's your wheelhouse not 999 00:20:21,080 --> 00:20:23,870 things but that's your wheelhouse not mine all I can tell you is what I found 1000 00:20:23,870 --> 00:20:23,880 mine all I can tell you is what I found 1001 00:20:23,880 --> 00:20:26,230 mine all I can tell you is what I found in the lab and the scientific 1002 00:20:26,230 --> 00:20:26,240 in the lab and the scientific 1003 00:20:26,240 --> 00:20:28,549 in the lab and the scientific implications of it the policy implic and 1004 00:20:28,549 --> 00:20:28,559 implications of it the policy implic and 1005 00:20:28,559 --> 00:20:30,789 implications of it the policy implic and what to do it is out of my it's above my 1006 00:20:30,789 --> 00:20:30,799 what to do it is out of my it's above my 1007 00:20:30,799 --> 00:20:31,549 what to do it is out of my it's above my pay 1008 00:20:31,549 --> 00:20:31,559 pay 1009 00:20:31,559 --> 00:20:34,789 pay grade Senator Garrett thank you for 1010 00:20:34,789 --> 00:20:34,799 grade Senator Garrett thank you for 1011 00:20:34,799 --> 00:20:37,149 grade Senator Garrett thank you for coming today um I think I followed most 1012 00:20:37,149 --> 00:20:37,159 coming today um I think I followed most 1013 00:20:37,159 --> 00:20:39,510 coming today um I think I followed most of what you said President Biden said 1014 00:20:39,510 --> 00:20:39,520 of what you said President Biden said 1015 00:20:39,520 --> 00:20:41,909 of what you said President Biden said the other day that there was a new coid 1016 00:20:41,909 --> 00:20:41,919 the other day that there was a new coid 1017 00:20:41,919 --> 00:20:44,590 the other day that there was a new coid vaccine that and this one really 1018 00:20:44,590 --> 00:20:44,600 vaccine that and this one really 1019 00:20:44,600 --> 00:20:47,230 vaccine that and this one really works um there's no evidence to that as 1020 00:20:47,230 --> 00:20:47,240 works um there's no evidence to that as 1021 00:20:47,240 --> 00:20:48,990 works um there's no evidence to that as far as I can tell I I understand that 1022 00:20:48,990 --> 00:20:49,000 far as I can tell I I understand that 1023 00:20:49,000 --> 00:20:50,990 far as I can tell I I understand that and that's why I'm asking this question 1024 00:20:50,990 --> 00:20:51,000 and that's why I'm asking this question 1025 00:20:51,000 --> 00:20:52,510 and that's why I'm asking this question is there some way you could get a hold 1026 00:20:52,510 --> 00:20:52,520 is there some way you could get a hold 1027 00:20:52,520 --> 00:20:55,110 is there some way you could get a hold of one of those and do the do the same 1028 00:20:55,110 --> 00:20:55,120 of one of those and do the do the same 1029 00:20:55,120 --> 00:20:57,470 of one of those and do the do the same study that you did on these vials to 1030 00:20:57,470 --> 00:20:57,480 study that you did on these vials to 1031 00:20:57,480 --> 00:20:58,909 study that you did on these vials to make sure 1032 00:20:58,909 --> 00:20:58,919 make sure 1033 00:20:58,919 --> 00:21:00,630 make sure that we're not using that that DNA 1034 00:21:00,630 --> 00:21:00,640 that we're not using that that DNA 1035 00:21:00,640 --> 00:21:03,830 that we're not using that that DNA protein or whatever it is the DNA that 1036 00:21:03,830 --> 00:21:03,840 protein or whatever it is the DNA that 1037 00:21:03,840 --> 00:21:06,070 protein or whatever it is the DNA that that that we don't need in to be 1038 00:21:06,070 --> 00:21:06,080 that that we don't need in to be 1039 00:21:06,080 --> 00:21:08,390 that that we don't need in to be injected into these uh to our 1040 00:21:08,390 --> 00:21:08,400 injected into these uh to our 1041 00:21:08,400 --> 00:21:10,510 injected into these uh to our constituents I would like to do that and 1042 00:21:10,510 --> 00:21:10,520 constituents I would like to do that and 1043 00:21:10,520 --> 00:21:12,470 constituents I would like to do that and I will not get it unless I get a batch 1044 00:21:12,470 --> 00:21:12,480 I will not get it unless I get a batch 1045 00:21:12,480 --> 00:21:14,470 I will not get it unless I get a batch and and find out that it's free of DNA 1046 00:21:14,470 --> 00:21:14,480 and and find out that it's free of DNA 1047 00:21:14,480 --> 00:21:16,669 and and find out that it's free of DNA and then I'll take it myself but I don't 1048 00:21:16,669 --> 00:21:16,679 and then I'll take it myself but I don't 1049 00:21:16,679 --> 00:21:17,950 and then I'll take it myself but I don't I don't have any way of compelling that 1050 00:21:17,950 --> 00:21:17,960 I don't have any way of compelling that 1051 00:21:17,960 --> 00:21:20,269 I don't have any way of compelling that to happen so it was just basically a way 1052 00:21:20,269 --> 00:21:20,279 to happen so it was just basically a way 1053 00:21:20,279 --> 00:21:22,789 to happen so it was just basically a way to save money by by doing it in such 1054 00:21:22,789 --> 00:21:22,799 to save money by by doing it in such 1055 00:21:22,799 --> 00:21:26,029 to save money by by doing it in such volume that way without then taking it 1056 00:21:26,029 --> 00:21:26,039 volume that way without then taking it 1057 00:21:26,039 --> 00:21:30,590 volume that way without then taking it back out later on 1058 00:21:30,590 --> 00:21:30,600 1059 00:21:30,600 --> 00:21:32,990 I think nobody thought about it I I 1060 00:21:32,990 --> 00:21:33,000 I think nobody thought about it I I 1061 00:21:33,000 --> 00:21:35,549 I think nobody thought about it I I think it was reasonable to use the eoli 1062 00:21:35,549 --> 00:21:35,559 think it was reasonable to use the eoli 1063 00:21:35,559 --> 00:21:37,950 think it was reasonable to use the eoli to blow up the plasma to make the stuff 1064 00:21:37,950 --> 00:21:37,960 to blow up the plasma to make the stuff 1065 00:21:37,960 --> 00:21:41,190 to blow up the plasma to make the stuff and then the the pieces of the DNA are 1066 00:21:41,190 --> 00:21:41,200 and then the the pieces of the DNA are 1067 00:21:41,200 --> 00:21:44,310 and then the the pieces of the DNA are of a very uniform and small size that's 1068 00:21:44,310 --> 00:21:44,320 of a very uniform and small size that's 1069 00:21:44,320 --> 00:21:46,110 of a very uniform and small size that's evidence that they took efforts to try 1070 00:21:46,110 --> 00:21:46,120 evidence that they took efforts to try 1071 00:21:46,120 --> 00:21:47,310 evidence that they took efforts to try to chop it 1072 00:21:47,310 --> 00:21:47,320 to chop it 1073 00:21:47,320 --> 00:21:50,669 to chop it up and then they knew about it yeah yeah 1074 00:21:50,669 --> 00:21:50,679 up and then they knew about it yeah yeah 1075 00:21:50,679 --> 00:21:52,269 up and then they knew about it yeah yeah they knew it and they took efforts to 1076 00:21:52,269 --> 00:21:52,279 they knew it and they took efforts to 1077 00:21:52,279 --> 00:21:53,750 they knew it and they took efforts to chop it up they just didn't get it all 1078 00:21:53,750 --> 00:21:53,760 chop it up they just didn't get it all 1079 00:21:53,760 --> 00:21:57,430 chop it up they just didn't get it all out but but having said that I guess 1080 00:21:57,430 --> 00:21:57,440 out but but having said that I guess 1081 00:21:57,440 --> 00:21:58,830 out but but having said that I guess that they just didn't didn't think about 1082 00:21:58,830 --> 00:21:58,840 that they just didn't didn't think about 1083 00:21:58,840 --> 00:22:01,149 that they just didn't didn't think about the the hazard for genome modification 1084 00:22:01,149 --> 00:22:01,159 the the hazard for genome modification 1085 00:22:01,159 --> 00:22:03,630 the the hazard for genome modification cuz it's not all that expensive to add 1086 00:22:03,630 --> 00:22:03,640 cuz it's not all that expensive to add 1087 00:22:03,640 --> 00:22:05,789 cuz it's not all that expensive to add another process to get it out well 1088 00:22:05,789 --> 00:22:05,799 another process to get it out well 1089 00:22:05,799 --> 00:22:07,990 another process to get it out well that's what I'm saying it 1090 00:22:07,990 --> 00:22:08,000 that's what I'm saying it 1091 00:22:08,000 --> 00:22:10,430 that's what I'm saying it it you know I can't get inside their 1092 00:22:10,430 --> 00:22:10,440 it you know I can't get inside their 1093 00:22:10,440 --> 00:22:12,350 it you know I can't get inside their mind rushed too much and that's why I'm 1094 00:22:12,350 --> 00:22:12,360 mind rushed too much and that's why I'm 1095 00:22:12,360 --> 00:22:14,149 mind rushed too much and that's why I'm saying these subsequent you know we've 1096 00:22:14,149 --> 00:22:14,159 saying these subsequent you know we've 1097 00:22:14,159 --> 00:22:15,789 saying these subsequent you know we've heard testimony these subsequent you 1098 00:22:15,789 --> 00:22:15,799 heard testimony these subsequent you 1099 00:22:15,799 --> 00:22:20,029 heard testimony these subsequent you know variant subsequent boosters etc etc 1100 00:22:20,029 --> 00:22:20,039 know variant subsequent boosters etc etc 1101 00:22:20,039 --> 00:22:23,470 know variant subsequent boosters etc etc are leading to maybe not scientific yet 1102 00:22:23,470 --> 00:22:23,480 are leading to maybe not scientific yet 1103 00:22:23,480 --> 00:22:25,990 are leading to maybe not scientific yet but at least collateral knowledge that 1104 00:22:25,990 --> 00:22:26,000 but at least collateral knowledge that 1105 00:22:26,000 --> 00:22:28,110 but at least collateral knowledge that it apparently these things are causing 1106 00:22:28,110 --> 00:22:28,120 it apparently these things are causing 1107 00:22:28,120 --> 00:22:31,470 it apparently these things are causing death and disability later on and also 1108 00:22:31,470 --> 00:22:31,480 death and disability later on and also 1109 00:22:31,480 --> 00:22:33,110 death and disability later on and also the aging process which you heard about 1110 00:22:33,110 --> 00:22:33,120 the aging process which you heard about 1111 00:22:33,120 --> 00:22:34,870 the aging process which you heard about a few minut there's a lot of suspicious 1112 00:22:34,870 --> 00:22:34,880 a few minut there's a lot of suspicious 1113 00:22:34,880 --> 00:22:37,470 a few minut there's a lot of suspicious associations but I but it seems to me 1114 00:22:37,470 --> 00:22:37,480 associations but I but it seems to me 1115 00:22:37,480 --> 00:22:40,390 associations but I but it seems to me that that before we can in South 1116 00:22:40,390 --> 00:22:40,400 that that before we can in South 1117 00:22:40,400 --> 00:22:43,470 that that before we can in South Carolina you know give this new vaccine 1118 00:22:43,470 --> 00:22:43,480 Carolina you know give this new vaccine 1119 00:22:43,480 --> 00:22:46,669 Carolina you know give this new vaccine a world around here seems to me that 1120 00:22:46,669 --> 00:22:46,679 a world around here seems to me that 1121 00:22:46,679 --> 00:22:48,269 a world around here seems to me that that our people ought to be able to look 1122 00:22:48,269 --> 00:22:48,279 that our people ought to be able to look 1123 00:22:48,279 --> 00:22:50,430 that our people ought to be able to look at that Mr chairman and see whether or 1124 00:22:50,430 --> 00:22:50,440 at that Mr chairman and see whether or 1125 00:22:50,440 --> 00:22:52,870 at that Mr chairman and see whether or not it's got this DNA and if it does 1126 00:22:52,870 --> 00:22:52,880 not it's got this DNA and if it does 1127 00:22:52,880 --> 00:22:54,909 not it's got this DNA and if it does fine tell everybody that's got the DNA 1128 00:22:54,909 --> 00:22:54,919 fine tell everybody that's got the DNA 1129 00:22:54,919 --> 00:22:56,669 fine tell everybody that's got the DNA and the and the problems associated 1130 00:22:56,669 --> 00:22:56,679 and the and the problems associated 1131 00:22:56,679 --> 00:22:58,950 and the and the problems associated there with then you got informed consent 1132 00:22:58,950 --> 00:22:58,960 there with then you got informed consent 1133 00:22:58,960 --> 00:23:01,549 there with then you got informed consent correct okay but without that we don't 1134 00:23:01,549 --> 00:23:01,559 correct okay but without that we don't 1135 00:23:01,559 --> 00:23:03,789 correct okay but without that we don't haveed I'm not I'm not really happy 1136 00:23:03,789 --> 00:23:03,799 haveed I'm not I'm not really happy 1137 00:23:03,799 --> 00:23:06,110 haveed I'm not I'm not really happy about that Mr chairman and do what I can 1138 00:23:06,110 --> 00:23:06,120 about that Mr chairman and do what I can 1139 00:23:06,120 --> 00:23:09,510 about that Mr chairman and do what I can to try to help knowing what I otherwise 1140 00:23:09,510 --> 00:23:09,520 to try to help knowing what I otherwise 1141 00:23:09,520 --> 00:23:11,830 to try to help knowing what I otherwise knowing what I know now about this I 1142 00:23:11,830 --> 00:23:11,840 knowing what I know now about this I 1143 00:23:11,840 --> 00:23:13,630 knowing what I know now about this I would still have recommended it to my 1144 00:23:13,630 --> 00:23:13,640 would still have recommended it to my 1145 00:23:13,640 --> 00:23:16,029 would still have recommended it to my elderly parents okay but I probably 1146 00:23:16,029 --> 00:23:16,039 elderly parents okay but I probably 1147 00:23:16,039 --> 00:23:18,029 elderly parents okay but I probably would not have given it to my daughters 1148 00:23:18,029 --> 00:23:18,039 would not have given it to my daughters 1149 00:23:18,039 --> 00:23:20,909 would not have given it to my daughters okay and I I feel like my consent was 1150 00:23:20,909 --> 00:23:20,919 okay and I I feel like my consent was 1151 00:23:20,919 --> 00:23:23,710 okay and I I feel like my consent was not as informed as it should have been 1152 00:23:23,710 --> 00:23:23,720 not as informed as it should have been 1153 00:23:23,720 --> 00:23:27,549 not as informed as it should have been thank you yeah represent Morgan I almost 1154 00:23:27,549 --> 00:23:27,559 thank you yeah represent Morgan I almost 1155 00:23:27,559 --> 00:23:29,590 thank you yeah represent Morgan I almost don't know where to start I'm I'm trying 1156 00:23:29,590 --> 00:23:29,600 don't know where to start I'm I'm trying 1157 00:23:29,600 --> 00:23:31,669 don't know where to start I'm I'm trying not to talk because we're it's a hearing 1158 00:23:31,669 --> 00:23:31,679 not to talk because we're it's a hearing 1159 00:23:31,679 --> 00:23:33,390 not to talk because we're it's a hearing and we want to hear you but you have 1160 00:23:33,390 --> 00:23:33,400 and we want to hear you but you have 1161 00:23:33,400 --> 00:23:36,070 and we want to hear you but you have made so many questions come to my mind 1162 00:23:36,070 --> 00:23:36,080 made so many questions come to my mind 1163 00:23:36,080 --> 00:23:37,710 made so many questions come to my mind um and one I should know but I don't 1164 00:23:37,710 --> 00:23:37,720 um and one I should know but I don't 1165 00:23:37,720 --> 00:23:39,750 um and one I should know but I don't remember what percentage of vaccinated 1166 00:23:39,750 --> 00:23:39,760 remember what percentage of vaccinated 1167 00:23:39,760 --> 00:23:42,149 remember what percentage of vaccinated people had this kind of vaccination do 1168 00:23:42,149 --> 00:23:42,159 people had this kind of vaccination do 1169 00:23:42,159 --> 00:23:43,710 people had this kind of vaccination do you know off the top of your head like 1170 00:23:43,710 --> 00:23:43,720 you know off the top of your head like 1171 00:23:43,720 --> 00:23:45,390 you know off the top of your head like the majority of people that took the 1172 00:23:45,390 --> 00:23:45,400 the majority of people that took the 1173 00:23:45,400 --> 00:23:46,669 the majority of people that took the vaccine have this type because weren't 1174 00:23:46,669 --> 00:23:46,679 vaccine have this type because weren't 1175 00:23:46,679 --> 00:23:48,350 vaccine have this type because weren't there multiple types of vaccinations you 1176 00:23:48,350 --> 00:23:48,360 there multiple types of vaccinations you 1177 00:23:48,360 --> 00:23:50,669 there multiple types of vaccinations you could take the vast majority of people 1178 00:23:50,669 --> 00:23:50,679 could take the vast majority of people 1179 00:23:50,679 --> 00:23:53,029 could take the vast majority of people got either fiser or Mna and and we're 1180 00:23:53,029 --> 00:23:53,039 got either fiser or Mna and and we're 1181 00:23:53,039 --> 00:23:54,549 got either fiser or Mna and and we're talking about the F I'm talking about 1182 00:23:54,549 --> 00:23:54,559 talking about the F I'm talking about 1183 00:23:54,559 --> 00:23:57,269 talking about the F I'm talking about fizer my colleagues have looked at madna 1184 00:23:57,269 --> 00:23:57,279 fizer my colleagues have looked at madna 1185 00:23:57,279 --> 00:23:59,549 fizer my colleagues have looked at madna and it's in madna 2o in the few that 1186 00:23:59,549 --> 00:23:59,559 and it's in madna 2o in the few that 1187 00:23:59,559 --> 00:24:01,149 and it's in madna 2o in the few that we've looked at it's just not quite as 1188 00:24:01,149 --> 00:24:01,159 we've looked at it's just not quite as 1189 00:24:01,159 --> 00:24:04,789 we've looked at it's just not quite as high okay wow um with so you were here 1190 00:24:04,789 --> 00:24:04,799 high okay wow um with so you were here 1191 00:24:04,799 --> 00:24:07,230 high okay wow um with so you were here today and you've come to present and you 1192 00:24:07,230 --> 00:24:07,240 today and you've come to present and you 1193 00:24:07,240 --> 00:24:09,430 today and you've come to present and you notice this where could you have gone if 1194 00:24:09,430 --> 00:24:09,440 notice this where could you have gone if 1195 00:24:09,440 --> 00:24:11,430 notice this where could you have gone if we didn't have this kind of ad hoc 1196 00:24:11,430 --> 00:24:11,440 we didn't have this kind of ad hoc 1197 00:24:11,440 --> 00:24:14,630 we didn't have this kind of ad hoc hearing for this to come Twitter so 1198 00:24:14,630 --> 00:24:14,640 hearing for this to come Twitter so 1199 00:24:14,640 --> 00:24:17,630 hearing for this to come Twitter so there's no deck there's no way for you 1200 00:24:17,630 --> 00:24:17,640 there's no deck there's no way for you 1201 00:24:17,640 --> 00:24:20,669 there's no deck there's no way for you even at your level of expertise to say 1202 00:24:20,669 --> 00:24:20,679 even at your level of expertise to say 1203 00:24:20,679 --> 00:24:24,430 even at your level of expertise to say hey red flag I I email I emailed the FDA 1204 00:24:24,430 --> 00:24:24,440 hey red flag I I email I emailed the FDA 1205 00:24:24,440 --> 00:24:26,310 hey red flag I I email I emailed the FDA and I tweeted at them that's about the 1206 00:24:26,310 --> 00:24:26,320 and I tweeted at them that's about the 1207 00:24:26,320 --> 00:24:29,350 and I tweeted at them that's about the extent of my resources 1208 00:24:29,350 --> 00:24:29,360 extent of my resources 1209 00:24:29,360 --> 00:24:31,110 extent of my resources it's just fascinating to me that in a in 1210 00:24:31,110 --> 00:24:31,120 it's just fascinating to me that in a in 1211 00:24:31,120 --> 00:24:32,789 it's just fascinating to me that in a in the state that we don't have some kind 1212 00:24:32,789 --> 00:24:32,799 the state that we don't have some kind 1213 00:24:32,799 --> 00:24:35,110 the state that we don't have some kind of um I guess it goes to kind of the 1214 00:24:35,110 --> 00:24:35,120 of um I guess it goes to kind of the 1215 00:24:35,120 --> 00:24:36,590 of um I guess it goes to kind of the entire thing that we're talking about is 1216 00:24:36,590 --> 00:24:36,600 entire thing that we're talking about is 1217 00:24:36,600 --> 00:24:40,190 entire thing that we're talking about is that our state agency should have more 1218 00:24:40,190 --> 00:24:40,200 that our state agency should have more 1219 00:24:40,200 --> 00:24:42,549 that our state agency should have more focus on our citizens health and you 1220 00:24:42,549 --> 00:24:42,559 focus on our citizens health and you 1221 00:24:42,559 --> 00:24:44,630 focus on our citizens health and you know great CDC can send us stuff but 1222 00:24:44,630 --> 00:24:44,640 know great CDC can send us stuff but 1223 00:24:44,640 --> 00:24:46,310 know great CDC can send us stuff but we'll make the decision and and there 1224 00:24:46,310 --> 00:24:46,320 we'll make the decision and and there 1225 00:24:46,320 --> 00:24:48,990 we'll make the decision and and there should be a way for especially at your 1226 00:24:48,990 --> 00:24:49,000 should be a way for especially at your 1227 00:24:49,000 --> 00:24:52,190 should be a way for especially at your level to get input to dhack when you 1228 00:24:52,190 --> 00:24:52,200 level to get input to dhack when you 1229 00:24:52,200 --> 00:24:54,269 level to get input to dhack when you notice something like this immediately 1230 00:24:54,269 --> 00:24:54,279 notice something like this immediately 1231 00:24:54,279 --> 00:24:55,830 notice something like this immediately and say hey deck you should consider 1232 00:24:55,830 --> 00:24:55,840 and say hey deck you should consider 1233 00:24:55,840 --> 00:24:57,310 and say hey deck you should consider this and then they can come and tell us 1234 00:24:57,310 --> 00:24:57,320 this and then they can come and tell us 1235 00:24:57,320 --> 00:24:58,510 this and then they can come and tell us immediately 1236 00:24:58,510 --> 00:24:58,520 immediately 1237 00:24:58,520 --> 00:25:00,110 immediately hey we need to get authorization you 1238 00:25:00,110 --> 00:25:00,120 hey we need to get authorization you 1239 00:25:00,120 --> 00:25:01,669 hey we need to get authorization you need to change this regulation to look 1240 00:25:01,669 --> 00:25:01,679 need to change this regulation to look 1241 00:25:01,679 --> 00:25:03,470 need to change this regulation to look into this and it just seems like we' 1242 00:25:03,470 --> 00:25:03,480 into this and it just seems like we' 1243 00:25:03,480 --> 00:25:04,870 into this and it just seems like we' totally dropped the ball in every 1244 00:25:04,870 --> 00:25:04,880 totally dropped the ball in every 1245 00:25:04,880 --> 00:25:08,710 totally dropped the ball in every direction with the state prioritizing um 1246 00:25:08,710 --> 00:25:08,720 direction with the state prioritizing um 1247 00:25:08,720 --> 00:25:10,110 direction with the state prioritizing um you know our decision- making on this 1248 00:25:10,110 --> 00:25:10,120 you know our decision- making on this 1249 00:25:10,120 --> 00:25:11,630 you know our decision- making on this kind of stuff and and investigating into 1250 00:25:11,630 --> 00:25:11,640 kind of stuff and and investigating into 1251 00:25:11,640 --> 00:25:13,750 kind of stuff and and investigating into it just letting the you know the federal 1252 00:25:13,750 --> 00:25:13,760 it just letting the you know the federal 1253 00:25:13,760 --> 00:25:16,310 it just letting the you know the federal government take it and do a terrible job 1254 00:25:16,310 --> 00:25:16,320 government take it and do a terrible job 1255 00:25:16,320 --> 00:25:17,950 government take it and do a terrible job so I had a lot of experience with DC 1256 00:25:17,950 --> 00:25:17,960 so I had a lot of experience with DC 1257 00:25:17,960 --> 00:25:21,110 so I had a lot of experience with DC rolling out the saliva test okay so we 1258 00:25:21,110 --> 00:25:21,120 rolling out the saliva test okay so we 1259 00:25:21,120 --> 00:25:23,230 rolling out the saliva test okay so we invented the saliva test and then we had 1260 00:25:23,230 --> 00:25:23,240 invented the saliva test and then we had 1261 00:25:23,240 --> 00:25:25,789 invented the saliva test and then we had to deal with DEC to try to get it rolled 1262 00:25:25,789 --> 00:25:25,799 to deal with DEC to try to get it rolled 1263 00:25:25,799 --> 00:25:27,909 to deal with DEC to try to get it rolled out for the state and it appear appear 1264 00:25:27,909 --> 00:25:27,919 out for the state and it appear appear 1265 00:25:27,919 --> 00:25:30,190 out for the state and it appear appear to me that they were just 1266 00:25:30,190 --> 00:25:30,200 to me that they were just 1267 00:25:30,200 --> 00:25:33,750 to me that they were just overrun they weren't prepared for what 1268 00:25:33,750 --> 00:25:33,760 overrun they weren't prepared for what 1269 00:25:33,760 --> 00:25:35,830 overrun they weren't prepared for what this pandemic was through there's no 1270 00:25:35,830 --> 00:25:35,840 this pandemic was through there's no 1271 00:25:35,840 --> 00:25:38,269 this pandemic was through there's no fault of theirs I thought I I told 1272 00:25:38,269 --> 00:25:38,279 fault of theirs I thought I I told 1273 00:25:38,279 --> 00:25:39,990 fault of theirs I thought I I told people at the time that I felt like 1274 00:25:39,990 --> 00:25:40,000 people at the time that I felt like 1275 00:25:40,000 --> 00:25:41,710 people at the time that I felt like these were Hobbits in the Shire that 1276 00:25:41,710 --> 00:25:41,720 these were Hobbits in the Shire that 1277 00:25:41,720 --> 00:25:44,029 these were Hobbits in the Shire that were you know accustomed to take care of 1278 00:25:44,029 --> 00:25:44,039 were you know accustomed to take care of 1279 00:25:44,039 --> 00:25:45,269 were you know accustomed to take care of small problems and now of a sudden we're 1280 00:25:45,269 --> 00:25:45,279 small problems and now of a sudden we're 1281 00:25:45,279 --> 00:25:46,669 small problems and now of a sudden we're in the war of the ring and there are 1282 00:25:46,669 --> 00:25:46,679 in the war of the ring and there are 1283 00:25:46,679 --> 00:25:48,230 in the war of the ring and there are Orcs at the gate and we're expecting 1284 00:25:48,230 --> 00:25:48,240 Orcs at the gate and we're expecting 1285 00:25:48,240 --> 00:25:50,470 Orcs at the gate and we're expecting them to deal with this tremendous 1286 00:25:50,470 --> 00:25:50,480 them to deal with this tremendous 1287 00:25:50,480 --> 00:25:53,549 them to deal with this tremendous Challenge and that's not who we put 1288 00:25:53,549 --> 00:25:53,559 Challenge and that's not who we put 1289 00:25:53,559 --> 00:25:55,710 Challenge and that's not who we put there and that's not their fault I mean 1290 00:25:55,710 --> 00:25:55,720 there and that's not their fault I mean 1291 00:25:55,720 --> 00:25:58,510 there and that's not their fault I mean it's just we were not prepared to handle 1292 00:25:58,510 --> 00:25:58,520 it's just we were not prepared to handle 1293 00:25:58,520 --> 00:26:00,029 it's just we were not prepared to handle something of this magnitude so some 1294 00:26:00,029 --> 00:26:00,039 something of this magnitude so some 1295 00:26:00,039 --> 00:26:02,350 something of this magnitude so some amount of Grace I think is appropriate 1296 00:26:02,350 --> 00:26:02,360 amount of Grace I think is appropriate 1297 00:26:02,360 --> 00:26:03,950 amount of Grace I think is appropriate even though we could do better next time 1298 00:26:03,950 --> 00:26:03,960 even though we could do better next time 1299 00:26:03,960 --> 00:26:06,350 even though we could do better next time by beefing up who's guarding the gates 1300 00:26:06,350 --> 00:26:06,360 by beefing up who's guarding the gates 1301 00:26:06,360 --> 00:26:10,269 by beefing up who's guarding the gates if you if you had a tomorrow fixes to 1302 00:26:10,269 --> 00:26:10,279 if you if you had a tomorrow fixes to 1303 00:26:10,279 --> 00:26:14,470 if you if you had a tomorrow fixes to the system what would they be that we 1304 00:26:14,470 --> 00:26:14,480 the system what would they be that we 1305 00:26:14,480 --> 00:26:17,230 the system what would they be that we could I mean since you lived it and and 1306 00:26:17,230 --> 00:26:17,240 could I mean since you lived it and and 1307 00:26:17,240 --> 00:26:19,710 could I mean since you lived it and and saw based on the research should we have 1308 00:26:19,710 --> 00:26:19,720 saw based on the research should we have 1309 00:26:19,720 --> 00:26:21,710 saw based on the research should we have somebody actually checking up especially 1310 00:26:21,710 --> 00:26:21,720 somebody actually checking up especially 1311 00:26:21,720 --> 00:26:23,590 somebody actually checking up especially on something that is being pushed 1312 00:26:23,590 --> 00:26:23,600 on something that is being pushed 1313 00:26:23,600 --> 00:26:25,630 on something that is being pushed Statewide I mean State resources are 1314 00:26:25,630 --> 00:26:25,640 Statewide I mean State resources are 1315 00:26:25,640 --> 00:26:27,669 Statewide I mean State resources are being used saying to take this vaccine 1316 00:26:27,669 --> 00:26:27,679 being used saying to take this vaccine 1317 00:26:27,679 --> 00:26:29,789 being used saying to take this vaccine to hire people that are qualified to 1318 00:26:29,789 --> 00:26:29,799 to hire people that are qualified to 1319 00:26:29,799 --> 00:26:31,669 to hire people that are qualified to tell the feds 1320 00:26:31,669 --> 00:26:31,679 tell the feds 1321 00:26:31,679 --> 00:26:34,350 tell the feds no and that's not what we do here 1322 00:26:34,350 --> 00:26:34,360 no and that's not what we do here 1323 00:26:34,360 --> 00:26:37,269 no and that's not what we do here usually in South Carolina we hire people 1324 00:26:37,269 --> 00:26:37,279 usually in South Carolina we hire people 1325 00:26:37,279 --> 00:26:38,990 usually in South Carolina we hire people sometimes we say to the no to the feds 1326 00:26:38,990 --> 00:26:39,000 sometimes we say to the no to the feds 1327 00:26:39,000 --> 00:26:40,190 sometimes we say to the no to the feds just to be ordinary because that's our 1328 00:26:40,190 --> 00:26:40,200 just to be ordinary because that's our 1329 00:26:40,200 --> 00:26:42,870 just to be ordinary because that's our culture in South Carolina but many times 1330 00:26:42,870 --> 00:26:42,880 culture in South Carolina but many times 1331 00:26:42,880 --> 00:26:44,430 culture in South Carolina but many times we say well I don't know what do other 1332 00:26:44,430 --> 00:26:44,440 we say well I don't know what do other 1333 00:26:44,440 --> 00:26:46,870 we say well I don't know what do other people do and we hire people all over 1334 00:26:46,870 --> 00:26:46,880 people do and we hire people all over 1335 00:26:46,880 --> 00:26:49,230 people do and we hire people all over that they ask well what does Clemson do 1336 00:26:49,230 --> 00:26:49,240 that they ask well what does Clemson do 1337 00:26:49,240 --> 00:26:50,830 that they ask well what does Clemson do what does USC well what do they do over 1338 00:26:50,830 --> 00:26:50,840 what does USC well what do they do over 1339 00:26:50,840 --> 00:26:53,110 what does USC well what do they do over in this other state instead of putting 1340 00:26:53,110 --> 00:26:53,120 in this other state instead of putting 1341 00:26:53,120 --> 00:26:55,669 in this other state instead of putting people in place that we would have 1342 00:26:55,669 --> 00:26:55,679 people in place that we would have 1343 00:26:55,679 --> 00:26:58,669 people in place that we would have confidence in saying no to the to 1344 00:26:58,669 --> 00:26:58,679 confidence in saying no to the to 1345 00:26:58,679 --> 00:27:01,830 confidence in saying no to the to whatever the recommendations were we put 1346 00:27:01,830 --> 00:27:01,840 whatever the recommendations were we put 1347 00:27:01,840 --> 00:27:06,029 whatever the recommendations were we put people in that we often encourage them 1348 00:27:06,029 --> 00:27:06,039 people in that we often encourage them 1349 00:27:06,039 --> 00:27:08,350 people in that we often encourage them to not make too many waves and just go 1350 00:27:08,350 --> 00:27:08,360 to not make too many waves and just go 1351 00:27:08,360 --> 00:27:10,070 to not make too many waves and just go ask the feds what they're doing and 1352 00:27:10,070 --> 00:27:10,080 ask the feds what they're doing and 1353 00:27:10,080 --> 00:27:11,470 ask the feds what they're doing and that's not their fault that's the 1354 00:27:11,470 --> 00:27:11,480 that's not their fault that's the 1355 00:27:11,480 --> 00:27:12,669 that's not their fault that's the culture that we 1356 00:27:12,669 --> 00:27:12,679 culture that we 1357 00:27:12,679 --> 00:27:15,149 culture that we cultivated so I know that South Carolina 1358 00:27:15,149 --> 00:27:15,159 cultivated so I know that South Carolina 1359 00:27:15,159 --> 00:27:17,350 cultivated so I know that South Carolina culture is no no no we're going to do 1360 00:27:17,350 --> 00:27:17,360 culture is no no no we're going to do 1361 00:27:17,360 --> 00:27:20,029 culture is no no no we're going to do our own thing but in reality in terms of 1362 00:27:20,029 --> 00:27:20,039 our own thing but in reality in terms of 1363 00:27:20,039 --> 00:27:22,710 our own thing but in reality in terms of actually doing stuff almost always we 1364 00:27:22,710 --> 00:27:22,720 actually doing stuff almost always we 1365 00:27:22,720 --> 00:27:23,990 actually doing stuff almost always we people will say well what do they do 1366 00:27:23,990 --> 00:27:24,000 people will say well what do they do 1367 00:27:24,000 --> 00:27:25,909 people will say well what do they do else in another state or what are they 1368 00:27:25,909 --> 00:27:25,919 else in another state or what are they 1369 00:27:25,919 --> 00:27:28,389 else in another state or what are they doing at the FED level and I'll just go 1370 00:27:28,389 --> 00:27:28,399 doing at the FED level and I'll just go 1371 00:27:28,399 --> 00:27:31,870 doing at the FED level and I'll just go along with it would it be and I'm not a 1372 00:27:31,870 --> 00:27:31,880 along with it would it be and I'm not a 1373 00:27:31,880 --> 00:27:33,310 along with it would it be and I'm not a medical professional by any stretch 1374 00:27:33,310 --> 00:27:33,320 medical professional by any stretch 1375 00:27:33,320 --> 00:27:36,669 medical professional by any stretch would it be realistic for anything that 1376 00:27:36,669 --> 00:27:36,679 would it be realistic for anything that 1377 00:27:36,679 --> 00:27:39,029 would it be realistic for anything that is being promoted especially on a large 1378 00:27:39,029 --> 00:27:39,039 is being promoted especially on a large 1379 00:27:39,039 --> 00:27:41,149 is being promoted especially on a large scale a vaccination that's you know 1380 00:27:41,149 --> 00:27:41,159 scale a vaccination that's you know 1381 00:27:41,159 --> 00:27:44,350 scale a vaccination that's you know coming from who knows where to have it 1382 00:27:44,350 --> 00:27:44,360 coming from who knows where to have it 1383 00:27:44,360 --> 00:27:46,990 coming from who knows where to have it be investigated by people in our state 1384 00:27:46,990 --> 00:27:47,000 be investigated by people in our state 1385 00:27:47,000 --> 00:27:49,029 be investigated by people in our state such as yourself or is that would that 1386 00:27:49,029 --> 00:27:49,039 such as yourself or is that would that 1387 00:27:49,039 --> 00:27:51,830 such as yourself or is that would that be too it it was reasonable to trust the 1388 00:27:51,830 --> 00:27:51,840 be too it it was reasonable to trust the 1389 00:27:51,840 --> 00:27:53,789 be too it it was reasonable to trust the FDA even 1390 00:27:53,789 --> 00:27:53,799 FDA even 1391 00:27:53,799 --> 00:27:56,470 FDA even though I have my doubts about their 1392 00:27:56,470 --> 00:27:56,480 though I have my doubts about their 1393 00:27:56,480 --> 00:27:58,070 though I have my doubts about their independence now 1394 00:27:58,070 --> 00:27:58,080 independence now 1395 00:27:58,080 --> 00:28:00,830 independence now everybody just trusted the feds to do 1396 00:28:00,830 --> 00:28:00,840 everybody just trusted the feds to do 1397 00:28:00,840 --> 00:28:03,630 everybody just trusted the feds to do this and at the time that was kind of 1398 00:28:03,630 --> 00:28:03,640 this and at the time that was kind of 1399 00:28:03,640 --> 00:28:06,149 this and at the time that was kind of reasonable but going forward I get 1400 00:28:06,149 --> 00:28:06,159 reasonable but going forward I get 1401 00:28:06,159 --> 00:28:07,950 reasonable but going forward I get that's my question going forward is it 1402 00:28:07,950 --> 00:28:07,960 that's my question going forward is it 1403 00:28:07,960 --> 00:28:09,669 that's my question going forward is it is it possible is it reasonable for us 1404 00:28:09,669 --> 00:28:09,679 is it possible is it reasonable for us 1405 00:28:09,679 --> 00:28:11,350 is it possible is it reasonable for us to be able to have a system where we 1406 00:28:11,350 --> 00:28:11,360 to be able to have a system where we 1407 00:28:11,360 --> 00:28:13,310 to be able to have a system where we could especially if it's being if the 1408 00:28:13,310 --> 00:28:13,320 could especially if it's being if the 1409 00:28:13,320 --> 00:28:14,750 could especially if it's being if the taxpayer money is going to be used to 1410 00:28:14,750 --> 00:28:14,760 taxpayer money is going to be used to 1411 00:28:14,760 --> 00:28:16,669 taxpayer money is going to be used to push it and tell people to get it that 1412 00:28:16,669 --> 00:28:16,679 push it and tell people to get it that 1413 00:28:16,679 --> 00:28:18,029 push it and tell people to get it that we have it set up that it's 1414 00:28:18,029 --> 00:28:18,039 we have it set up that it's 1415 00:28:18,039 --> 00:28:20,310 we have it set up that it's automatically tested basically or looked 1416 00:28:20,310 --> 00:28:20,320 automatically tested basically or looked 1417 00:28:20,320 --> 00:28:22,470 automatically tested basically or looked into by scientists and medical 1418 00:28:22,470 --> 00:28:22,480 into by scientists and medical 1419 00:28:22,480 --> 00:28:25,149 into by scientists and medical professionals in our state to determine 1420 00:28:25,149 --> 00:28:25,159 professionals in our state to determine 1421 00:28:25,159 --> 00:28:27,110 professionals in our state to determine maybe it's in DEC maybe DEC has that 1422 00:28:27,110 --> 00:28:27,120 maybe it's in DEC maybe DEC has that 1423 00:28:27,120 --> 00:28:29,269 maybe it's in DEC maybe DEC has that where they are required to look into it 1424 00:28:29,269 --> 00:28:29,279 where they are required to look into it 1425 00:28:29,279 --> 00:28:32,430 where they are required to look into it and have their own um you know summary 1426 00:28:32,430 --> 00:28:32,440 and have their own um you know summary 1427 00:28:32,440 --> 00:28:33,830 and have their own um you know summary or decision on whether or not it's safe 1428 00:28:33,830 --> 00:28:33,840 or decision on whether or not it's safe 1429 00:28:33,840 --> 00:28:36,190 or decision on whether or not it's safe and effective since we know that CDC and 1430 00:28:36,190 --> 00:28:36,200 and effective since we know that CDC and 1431 00:28:36,200 --> 00:28:37,669 and effective since we know that CDC and uh FDA and all these are not doing a 1432 00:28:37,669 --> 00:28:37,679 uh FDA and all these are not doing a 1433 00:28:37,679 --> 00:28:39,430 uh FDA and all these are not doing a good job with it and I and I guess I'm 1434 00:28:39,430 --> 00:28:39,440 good job with it and I and I guess I'm 1435 00:28:39,440 --> 00:28:41,190 good job with it and I and I guess I'm asking you as a professional are do you 1436 00:28:41,190 --> 00:28:41,200 asking you as a professional are do you 1437 00:28:41,200 --> 00:28:42,549 asking you as a professional are do you hear that and think wow that's going to 1438 00:28:42,549 --> 00:28:42,559 hear that and think wow that's going to 1439 00:28:42,559 --> 00:28:44,029 hear that and think wow that's going to cost an insane amount of money and good 1440 00:28:44,029 --> 00:28:44,039 cost an insane amount of money and good 1441 00:28:44,039 --> 00:28:46,190 cost an insane amount of money and good luck or like no that's reasonable no no 1442 00:28:46,190 --> 00:28:46,200 luck or like no that's reasonable no no 1443 00:28:46,200 --> 00:28:48,389 luck or like no that's reasonable no no the the actual like scientific 1444 00:28:48,389 --> 00:28:48,399 the the actual like scientific 1445 00:28:48,399 --> 00:28:51,430 the the actual like scientific experiments are I don't think an insane 1446 00:28:51,430 --> 00:28:51,440 experiments are I don't think an insane 1447 00:28:51,440 --> 00:28:54,149 experiments are I don't think an insane amount of money it's having 1448 00:28:54,149 --> 00:28:54,159 amount of money it's having 1449 00:28:54,159 --> 00:28:58,310 amount of money it's having the the Regulatory and and Financial 1450 00:28:58,310 --> 00:28:58,320 the the Regulatory and and Financial 1451 00:28:58,320 --> 00:29:01,590 the the Regulatory and and Financial Independence to like say no we're not 1452 00:29:01,590 --> 00:29:01,600 Independence to like say no we're not 1453 00:29:01,600 --> 00:29:03,230 Independence to like say no we're not going to do it the way we're told until 1454 00:29:03,230 --> 00:29:03,240 going to do it the way we're told until 1455 00:29:03,240 --> 00:29:04,870 going to do it the way we're told until we find out that it's okay when in 1456 00:29:04,870 --> 00:29:04,880 we find out that it's okay when in 1457 00:29:04,880 --> 00:29:07,870 we find out that it's okay when in reality much of our support comes from 1458 00:29:07,870 --> 00:29:07,880 reality much of our support comes from 1459 00:29:07,880 --> 00:29:10,430 reality much of our support comes from federal sources it's like if you have a 1460 00:29:10,430 --> 00:29:10,440 federal sources it's like if you have a 1461 00:29:10,440 --> 00:29:11,669 federal sources it's like if you have a better idea for how to build the 1462 00:29:11,669 --> 00:29:11,679 better idea for how to build the 1463 00:29:11,679 --> 00:29:14,110 better idea for how to build the interstate you kind of have to do what 1464 00:29:14,110 --> 00:29:14,120 interstate you kind of have to do what 1465 00:29:14,120 --> 00:29:16,789 interstate you kind of have to do what the the federal people tell you 1466 00:29:16,789 --> 00:29:16,799 the the federal people tell you 1467 00:29:16,799 --> 00:29:18,430 the the federal people tell you regardless right we because that's where 1468 00:29:18,430 --> 00:29:18,440 regardless right we because that's where 1469 00:29:18,440 --> 00:29:20,509 regardless right we because that's where the money comes from for a lot of the in 1470 00:29:20,509 --> 00:29:20,519 the money comes from for a lot of the in 1471 00:29:20,519 --> 00:29:23,110 the money comes from for a lot of the in Interstate infrastructure and I think 1472 00:29:23,110 --> 00:29:23,120 Interstate infrastructure and I think 1473 00:29:23,120 --> 00:29:25,509 Interstate infrastructure and I think I'm not a policy expert but I I think 1474 00:29:25,509 --> 00:29:25,519 I'm not a policy expert but I I think 1475 00:29:25,519 --> 00:29:28,669 I'm not a policy expert but I I think that a lot of financial support through 1476 00:29:28,669 --> 00:29:28,679 that a lot of financial support through 1477 00:29:28,679 --> 00:29:32,110 that a lot of financial support through the Health Care system and and elsewhere 1478 00:29:32,110 --> 00:29:32,120 the Health Care system and and elsewhere 1479 00:29:32,120 --> 00:29:34,710 the Health Care system and and elsewhere was tied to compliance to the federal 1480 00:29:34,710 --> 00:29:34,720 was tied to compliance to the federal 1481 00:29:34,720 --> 00:29:36,990 was tied to compliance to the federal narratives and so I don't know that you 1482 00:29:36,990 --> 00:29:37,000 narratives and so I don't know that you 1483 00:29:37,000 --> 00:29:39,149 narratives and so I don't know that you can create true 1484 00:29:39,149 --> 00:29:39,159 can create true 1485 00:29:39,159 --> 00:29:42,310 can create true Independence you you could maybe create 1486 00:29:42,310 --> 00:29:42,320 Independence you you could maybe create 1487 00:29:42,320 --> 00:29:43,669 Independence you you could maybe create some kind of 1488 00:29:43,669 --> 00:29:43,679 some kind of 1489 00:29:43,679 --> 00:29:46,630 some kind of oversite that would enhance the public 1490 00:29:46,630 --> 00:29:46,640 oversite that would enhance the public 1491 00:29:46,640 --> 00:29:48,909 oversite that would enhance the public trust in whether it was a good idea or 1492 00:29:48,909 --> 00:29:48,919 trust in whether it was a good idea or 1493 00:29:48,919 --> 00:29:50,669 trust in whether it was a good idea or not but that's a different matter from 1494 00:29:50,669 --> 00:29:50,679 not but that's a different matter from 1495 00:29:50,679 --> 00:29:53,750 not but that's a different matter from us being able to go our own way all the 1496 00:29:53,750 --> 00:29:53,760 us being able to go our own way all the 1497 00:29:53,760 --> 00:29:56,070 us being able to go our own way all the time but that's your that's your leader 1498 00:29:56,070 --> 00:29:56,080 time but that's your that's your leader 1499 00:29:56,080 --> 00:29:57,549 time but that's your that's your leader that's your area of expertise it's not 1500 00:29:57,549 --> 00:29:57,559 that's your area of expertise it's not 1501 00:29:57,559 --> 00:30:00,110 that's your area of expertise it's not mine yeah but it is but it is possible 1502 00:30:00,110 --> 00:30:00,120 mine yeah but it is but it is possible 1503 00:30:00,120 --> 00:30:02,389 mine yeah but it is but it is possible to have somebody look into vaccinations 1504 00:30:02,389 --> 00:30:02,399 to have somebody look into vaccinations 1505 00:30:02,399 --> 00:30:04,789 to have somebody look into vaccinations and do similarly to what you did on this 1506 00:30:04,789 --> 00:30:04,799 and do similarly to what you did on this 1507 00:30:04,799 --> 00:30:07,029 and do similarly to what you did on this I did this on my own money with free 1508 00:30:07,029 --> 00:30:07,039 I did this on my own money with free 1509 00:30:07,039 --> 00:30:08,669 I did this on my own money with free student I mean yeah we this is not 1510 00:30:08,669 --> 00:30:08,679 student I mean yeah we this is not 1511 00:30:08,679 --> 00:30:11,669 student I mean yeah we this is not terribly expensive to do these kinds of 1512 00:30:11,669 --> 00:30:11,679 terribly expensive to do these kinds of 1513 00:30:11,679 --> 00:30:14,029 terribly expensive to do these kinds of tests but you know that has to be in a 1514 00:30:14,029 --> 00:30:14,039 tests but you know that has to be in a 1515 00:30:14,039 --> 00:30:16,389 tests but you know that has to be in a system that that professors are not 1516 00:30:16,389 --> 00:30:16,399 system that that professors are not 1517 00:30:16,399 --> 00:30:18,509 system that that professors are not going to be penalized for producing 1518 00:30:18,509 --> 00:30:18,519 going to be penalized for producing 1519 00:30:18,519 --> 00:30:21,710 going to be penalized for producing results that are counter to what the 1520 00:30:21,710 --> 00:30:21,720 results that are counter to what the 1521 00:30:21,720 --> 00:30:24,029 results that are counter to what the party line is supposed to 1522 00:30:24,029 --> 00:30:24,039 party line is supposed to 1523 00:30:24,039 --> 00:30:27,950 party line is supposed to be and that you can create bubbles of 1524 00:30:27,950 --> 00:30:27,960 be and that you can create bubbles of 1525 00:30:27,960 --> 00:30:30,310 be and that you can create bubbles of where the protection for people whose 1526 00:30:30,310 --> 00:30:30,320 where the protection for people whose 1527 00:30:30,320 --> 00:30:32,149 where the protection for people whose job it is to check things and if they 1528 00:30:32,149 --> 00:30:32,159 job it is to check things and if they 1529 00:30:32,159 --> 00:30:33,549 job it is to check things and if they come up with answers that nobody likes 1530 00:30:33,549 --> 00:30:33,559 come up with answers that nobody likes 1531 00:30:33,559 --> 00:30:35,710 come up with answers that nobody likes they can still say them and and you have 1532 00:30:35,710 --> 00:30:35,720 they can still say them and and you have 1533 00:30:35,720 --> 00:30:39,590 they can still say them and and you have to create these kind of protection 1534 00:30:39,590 --> 00:30:39,600 1535 00:30:39,600 --> 00:30:42,630 bubbles chairman yes ask him just a few 1536 00:30:42,630 --> 00:30:42,640 bubbles chairman yes ask him just a few 1537 00:30:42,640 --> 00:30:44,669 bubbles chairman yes ask him just a few more questions 1538 00:30:44,669 --> 00:30:44,679 more questions 1539 00:30:44,679 --> 00:30:48,230 more questions okay doctor if you are you planning to 1540 00:30:48,230 --> 00:30:48,240 okay doctor if you are you planning to 1541 00:30:48,240 --> 00:30:49,909 okay doctor if you are you planning to publish these findings have you tried to 1542 00:30:49,909 --> 00:30:49,919 publish these findings have you tried to 1543 00:30:49,919 --> 00:30:52,430 publish these findings have you tried to publish these findings in a journal no 1544 00:30:52,430 --> 00:30:52,440 publish these findings in a journal no 1545 00:30:52,440 --> 00:30:56,230 publish these findings in a journal no and no they're 1546 00:30:56,230 --> 00:30:56,240 1547 00:30:56,240 --> 00:31:00,830 not as of now they are interesting and 1548 00:31:00,830 --> 00:31:00,840 not as of now they are interesting and 1549 00:31:00,840 --> 00:31:03,070 not as of now they are interesting and concerning but not they don't rise to 1550 00:31:03,070 --> 00:31:03,080 concerning but not they don't rise to 1551 00:31:03,080 --> 00:31:05,789 concerning but not they don't rise to the level of a peer-reviewed 1552 00:31:05,789 --> 00:31:05,799 the level of a peer-reviewed 1553 00:31:05,799 --> 00:31:09,509 the level of a peer-reviewed publication the most likely the best 1554 00:31:09,509 --> 00:31:09,519 publication the most likely the best 1555 00:31:09,519 --> 00:31:11,509 publication the most likely the best possible outcome would be that I would 1556 00:31:11,509 --> 00:31:11,519 possible outcome would be that I would 1557 00:31:11,519 --> 00:31:14,149 possible outcome would be that I would check a bunch of people find out it 1558 00:31:14,149 --> 00:31:14,159 check a bunch of people find out it 1559 00:31:14,159 --> 00:31:16,149 check a bunch of people find out it never integrated and this is not a 1560 00:31:16,149 --> 00:31:16,159 never integrated and this is not a 1561 00:31:16,159 --> 00:31:17,470 never integrated and this is not a problem and then it will never be 1562 00:31:17,470 --> 00:31:17,480 problem and then it will never be 1563 00:31:17,480 --> 00:31:19,950 problem and then it will never be published because papers don't publish 1564 00:31:19,950 --> 00:31:19,960 published because papers don't publish 1565 00:31:19,960 --> 00:31:21,870 published because papers don't publish negative results kind of the worst 1566 00:31:21,870 --> 00:31:21,880 negative results kind of the worst 1567 00:31:21,880 --> 00:31:24,549 negative results kind of the worst outcome is I can check a bunch of people 1568 00:31:24,549 --> 00:31:24,559 outcome is I can check a bunch of people 1569 00:31:24,559 --> 00:31:26,950 outcome is I can check a bunch of people and I find ow it integrated and it's 1570 00:31:26,950 --> 00:31:26,960 and I find ow it integrated and it's 1571 00:31:26,960 --> 00:31:28,710 and I find ow it integrated and it's called these horrible things and yeah 1572 00:31:28,710 --> 00:31:28,720 called these horrible things and yeah 1573 00:31:28,720 --> 00:31:30,470 called these horrible things and yeah then I'll get a paper and be 1574 00:31:30,470 --> 00:31:30,480 then I'll get a paper and be 1575 00:31:30,480 --> 00:31:33,230 then I'll get a paper and be famous um but I'm hoping that that's not 1576 00:31:33,230 --> 00:31:33,240 famous um but I'm hoping that that's not 1577 00:31:33,240 --> 00:31:34,669 famous um but I'm hoping that that's not the way it goes so you see how they're 1578 00:31:34,669 --> 00:31:34,679 the way it goes so you see how they're 1579 00:31:34,679 --> 00:31:36,389 the way it goes so you see how they're in Academia for publication there are 1580 00:31:36,389 --> 00:31:36,399 in Academia for publication there are 1581 00:31:36,399 --> 00:31:38,669 in Academia for publication there are all these perverse incentives in place 1582 00:31:38,669 --> 00:31:38,679 all these perverse incentives in place 1583 00:31:38,679 --> 00:31:41,029 all these perverse incentives in place where the kind of thing you need to be 1584 00:31:41,029 --> 00:31:41,039 where the kind of thing you need to be 1585 00:31:41,039 --> 00:31:42,190 where the kind of thing you need to be done 1586 00:31:42,190 --> 00:31:42,200 done 1587 00:31:42,200 --> 00:31:45,350 done is is the kind of thing that does not 1588 00:31:45,350 --> 00:31:45,360 is is the kind of thing that does not 1589 00:31:45,360 --> 00:31:47,190 is is the kind of thing that does not generate a publication you need a 1590 00:31:47,190 --> 00:31:47,200 generate a publication you need a 1591 00:31:47,200 --> 00:31:50,190 generate a publication you need a regulatory body to check find no problem 1592 00:31:50,190 --> 00:31:50,200 regulatory body to check find no problem 1593 00:31:50,200 --> 00:31:52,470 regulatory body to check find no problem and tell the public there's no problem 1594 00:31:52,470 --> 00:31:52,480 and tell the public there's no problem 1595 00:31:52,480 --> 00:31:54,430 and tell the public there's no problem we checked and there ain't nothing there 1596 00:31:54,430 --> 00:31:54,440 we checked and there ain't nothing there 1597 00:31:54,440 --> 00:31:56,269 we checked and there ain't nothing there that will never get published you know 1598 00:31:56,269 --> 00:31:56,279 that will never get published you know 1599 00:31:56,279 --> 00:31:57,909 that will never get published you know or very sell it's it's hard to publish 1600 00:31:57,909 --> 00:31:57,919 or very sell it's it's hard to publish 1601 00:31:57,919 --> 00:32:00,029 or very sell it's it's hard to publish negative results like that and that's 1602 00:32:00,029 --> 00:32:00,039 negative results like that and that's 1603 00:32:00,039 --> 00:32:01,710 negative results like that and that's why academic science is not the best 1604 00:32:01,710 --> 00:32:01,720 why academic science is not the best 1605 00:32:01,720 --> 00:32:02,950 why academic science is not the best place to do 1606 00:32:02,950 --> 00:32:02,960 place to do 1607 00:32:02,960 --> 00:32:06,310 place to do it how long would it take to do what it 1608 00:32:06,310 --> 00:32:06,320 it how long would it take to do what it 1609 00:32:06,320 --> 00:32:08,070 it how long would it take to do what it is you're talking about here about check 1610 00:32:08,070 --> 00:32:08,080 is you're talking about here about check 1611 00:32:08,080 --> 00:32:11,389 is you're talking about here about check a bunch of vaccinated people I mean I 1612 00:32:11,389 --> 00:32:11,399 a bunch of vaccinated people I mean I 1613 00:32:11,399 --> 00:32:13,269 a bunch of vaccinated people I mean I it's it's hard for me listening to all 1614 00:32:13,269 --> 00:32:13,279 it's it's hard for me listening to all 1615 00:32:13,279 --> 00:32:16,470 it's it's hard for me listening to all this for the first time to to uh 1616 00:32:16,470 --> 00:32:16,480 this for the first time to to uh 1617 00:32:16,480 --> 00:32:19,430 this for the first time to to uh calculate how alarmed you are and 1618 00:32:19,430 --> 00:32:19,440 calculate how alarmed you are and 1619 00:32:19,440 --> 00:32:21,110 calculate how alarmed you are and whether in your personal opinion you 1620 00:32:21,110 --> 00:32:21,120 whether in your personal opinion you 1621 00:32:21,120 --> 00:32:24,430 whether in your personal opinion you would hit the pause button on allowing 1622 00:32:24,430 --> 00:32:24,440 would hit the pause button on allowing 1623 00:32:24,440 --> 00:32:27,470 would hit the pause button on allowing this new vaccine so to speak without 1624 00:32:27,470 --> 00:32:27,480 this new vaccine so to speak without 1625 00:32:27,480 --> 00:32:29,990 this new vaccine so to speak without knowing 1626 00:32:29,990 --> 00:32:30,000 knowing 1627 00:32:30,000 --> 00:32:32,669 knowing more how long's it take and and how 1628 00:32:32,669 --> 00:32:32,679 more how long's it take and and how 1629 00:32:32,679 --> 00:32:35,389 more how long's it take and and how serious is it to to find out this 1630 00:32:35,389 --> 00:32:35,399 serious is it to to find out this 1631 00:32:35,399 --> 00:32:37,149 serious is it to to find out this information before people keep taking 1632 00:32:37,149 --> 00:32:37,159 information before people keep taking 1633 00:32:37,159 --> 00:32:38,710 information before people keep taking these 1634 00:32:38,710 --> 00:32:38,720 these 1635 00:32:38,720 --> 00:32:43,870 these vaccines it it takes about 3 hours to 1636 00:32:43,870 --> 00:32:43,880 vaccines it it takes about 3 hours to 1637 00:32:43,880 --> 00:32:46,669 vaccines it it takes about 3 hours to check a vial a vaccine to see if it's 1638 00:32:46,669 --> 00:32:46,679 check a vial a vaccine to see if it's 1639 00:32:46,679 --> 00:32:48,470 check a vial a vaccine to see if it's got this in 1640 00:32:48,470 --> 00:32:48,480 got this in 1641 00:32:48,480 --> 00:32:53,310 got this in it about a hundred bucks of 1642 00:32:53,310 --> 00:32:53,320 1643 00:32:53,320 --> 00:32:57,070 reagents and I'm not going to get it 1644 00:32:57,070 --> 00:32:57,080 reagents and I'm not going to get it 1645 00:32:57,080 --> 00:32:59,750 reagents and I'm not going to get it unless I find a a vial that I can check 1646 00:32:59,750 --> 00:32:59,760 unless I find a a vial that I can check 1647 00:32:59,760 --> 00:33:02,190 unless I find a a vial that I can check ahead of time and make sure it's not 1648 00:33:02,190 --> 00:33:02,200 ahead of time and make sure it's not 1649 00:33:02,200 --> 00:33:03,950 ahead of time and make sure it's not there and if it is there I'll take a 1650 00:33:03,950 --> 00:33:03,960 there and if it is there I'll take a 1651 00:33:03,960 --> 00:33:07,110 there and if it is there I'll take a pass on 1652 00:33:07,110 --> 00:33:07,120 1653 00:33:07,120 --> 00:33:10,870 it thank you doc Dr bof thank you so 1654 00:33:10,870 --> 00:33:10,880 it thank you doc Dr bof thank you so 1655 00:33:10,880 --> 00:33:12,669 it thank you doc Dr bof thank you so much for being here and I would like to 1656 00:33:12,669 --> 00:33:12,679 much for being here and I would like to 1657 00:33:12,679 --> 00:33:15,669 much for being here and I would like to say that um I would sort of in the world 1658 00:33:15,669 --> 00:33:15,679 say that um I would sort of in the world 1659 00:33:15,679 --> 00:33:17,549 say that um I would sort of in the world of coid that we've been dealing with 1660 00:33:17,549 --> 00:33:17,559 of coid that we've been dealing with 1661 00:33:17,559 --> 00:33:20,990 of coid that we've been dealing with with all the lies and coverups and 1662 00:33:20,990 --> 00:33:21,000 with all the lies and coverups and 1663 00:33:21,000 --> 00:33:22,990 with all the lies and coverups and misinformation out there I would almost 1664 00:33:22,990 --> 00:33:23,000 misinformation out there I would almost 1665 00:33:23,000 --> 00:33:24,389 misinformation out there I would almost call you a 1666 00:33:24,389 --> 00:33:24,399 call you a 1667 00:33:24,399 --> 00:33:27,750 call you a whistleblower um and Dr lead I think we 1668 00:33:27,750 --> 00:33:27,760 whistleblower um and Dr lead I think we 1669 00:33:27,760 --> 00:33:29,430 whistleblower um and Dr lead I think we may have found our state's Surgeon 1670 00:33:29,430 --> 00:33:29,440 may have found our state's Surgeon 1671 00:33:29,440 --> 00:33:30,789 may have found our state's Surgeon General here 1672 00:33:30,789 --> 00:33:30,799 General here 1673 00:33:30,799 --> 00:33:33,430 General here no that's not my thank thank you for 1674 00:33:33,430 --> 00:33:33,440 no that's not my thank thank you for 1675 00:33:33,440 --> 00:33:34,990 no that's not my thank thank you for your confidence in me but that's be 1676 00:33:34,990 --> 00:33:35,000 your confidence in me but that's be 1677 00:33:35,000 --> 00:33:37,070 your confidence in me but that's be would like to say is as we wrap it up is 1678 00:33:37,070 --> 00:33:37,080 would like to say is as we wrap it up is 1679 00:33:37,080 --> 00:33:40,310 would like to say is as we wrap it up is I do appreciate you um I understand um 1680 00:33:40,310 --> 00:33:40,320 I do appreciate you um I understand um 1681 00:33:40,320 --> 00:33:42,310 I do appreciate you um I understand um where you are 1682 00:33:42,310 --> 00:33:42,320 where you are 1683 00:33:42,320 --> 00:33:44,590 where you are employed and um you and I have had a 1684 00:33:44,590 --> 00:33:44,600 employed and um you and I have had a 1685 00:33:44,600 --> 00:33:46,389 employed and um you and I have had a little conversation about how wonderful 1686 00:33:46,389 --> 00:33:46,399 little conversation about how wonderful 1687 00:33:46,399 --> 00:33:49,350 little conversation about how wonderful tenure is and things like that but if 1688 00:33:49,350 --> 00:33:49,360 tenure is and things like that but if 1689 00:33:49,360 --> 00:33:53,549 tenure is and things like that but if you experience any retribution or any 1690 00:33:53,549 --> 00:33:53,559 you experience any retribution or any 1691 00:33:53,559 --> 00:33:55,389 you experience any retribution or any harassment for coming forward at this 1692 00:33:55,389 --> 00:33:55,399 harassment for coming forward at this 1693 00:33:55,399 --> 00:33:57,549 harassment for coming forward at this hearing and testifying 1694 00:33:57,549 --> 00:33:57,559 hearing and testifying 1695 00:33:57,559 --> 00:33:59,909 hearing and testifying would you please let us know because I 1696 00:33:59,909 --> 00:33:59,919 would you please let us know because I 1697 00:33:59,919 --> 00:34:01,629 would you please let us know because I can assure you you will have an army 1698 00:34:01,629 --> 00:34:01,639 can assure you you will have an army 1699 00:34:01,639 --> 00:34:03,830 can assure you you will have an army behind you to help with whatever may 1700 00:34:03,830 --> 00:34:03,840 behind you to help with whatever may 1701 00:34:03,840 --> 00:34:07,149 behind you to help with whatever may come your way thank you very 1702 00:34:07,149 --> 00:34:07,159 1703 00:34:07,159 --> 00:34:10,069 much rep Morgan has one more question 1704 00:34:10,069 --> 00:34:10,079 much rep Morgan has one more question 1705 00:34:10,079 --> 00:34:12,669 much rep Morgan has one more question and we've got to move along Dr jansy is 1706 00:34:12,669 --> 00:34:12,679 and we've got to move along Dr jansy is 1707 00:34:12,679 --> 00:34:14,109 and we've got to move along Dr jansy is I think under a time constraint I should 1708 00:34:14,109 --> 00:34:14,119 I think under a time constraint I should 1709 00:34:14,119 --> 00:34:16,790 I think under a time constraint I should have asked this so you didn't uh have 1710 00:34:16,790 --> 00:34:16,800 have asked this so you didn't uh have 1711 00:34:16,800 --> 00:34:18,669 have asked this so you didn't uh have you haven't interacted with DEC about 1712 00:34:18,669 --> 00:34:18,679 you haven't interacted with DEC about 1713 00:34:18,679 --> 00:34:20,669 you haven't interacted with DEC about this specific okay I was just wondering 1714 00:34:20,669 --> 00:34:20,679 this specific okay I was just wondering 1715 00:34:20,679 --> 00:34:22,950 this specific okay I was just wondering if you had any I interacted with some a 1716 00:34:22,950 --> 00:34:22,960 if you had any I interacted with some a 1717 00:34:22,960 --> 00:34:25,629 if you had any I interacted with some a couple of people at the FDA I just sent 1718 00:34:25,629 --> 00:34:25,639 couple of people at the FDA I just sent 1719 00:34:25,639 --> 00:34:27,149 couple of people at the FDA I just sent them emails and said hey you want you 1720 00:34:27,149 --> 00:34:27,159 them emails and said hey you want you 1721 00:34:27,159 --> 00:34:29,829 them emails and said hey you want you should look in this okay okay thank you 1722 00:34:29,829 --> 00:34:29,839 should look in this okay okay thank you 1723 00:34:29,839 --> 00:34:34,919 should look in this okay okay thank you so much um next is Dr jansy Lindsay 157299

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