1 00:00:00,000 --> 00:00:07,680 Speaker 1: Okay, so what what is the actual address to this website? Okay, 2 00:00:07,800 --> 00:00:12,480 Speaker 1: so there's v A E R S dot H H 3 00:00:12,720 --> 00:00:17,200 Speaker 1: S dot gov. Let me uh black at you. My 4 00:00:17,320 --> 00:00:20,600 Speaker 1: producer Tofer and I are checking out a website known 5 00:00:20,760 --> 00:00:27,360 Speaker 1: as THEIRS. That acronym stands for Vaccine Adverse Reporting System. 6 00:00:27,400 --> 00:00:30,840 Speaker 1: It's a federal database where anyone can report potential side 7 00:00:30,880 --> 00:00:35,280 Speaker 1: effects they've experienced after getting vaccinated. It's basically intended to 8 00:00:35,320 --> 00:00:39,160 Speaker 1: be an early warning system for possible problems with vaccines. 9 00:00:39,840 --> 00:00:43,240 Speaker 1: The data is totally public. The first thing, it says 10 00:00:43,280 --> 00:00:45,760 Speaker 1: that there's been forty four thousand, eight hundred and fifty 11 00:00:45,840 --> 00:00:51,040 Speaker 1: six adverse events related to the COVID nineteen vaccine. That 12 00:00:51,080 --> 00:00:55,680 Speaker 1: doesn't sound so bad for millions of time, millions of 13 00:00:55,720 --> 00:01:01,319 Speaker 1: people being vaccinated every day. In very urs you can 14 00:01:01,360 --> 00:01:05,000 Speaker 1: read all of the details of injuries people say happened 15 00:01:05,000 --> 00:01:08,600 Speaker 1: after getting vaccinated. But it's important to know that not 16 00:01:08,760 --> 00:01:11,880 Speaker 1: every health issue that comes up after getting a vaccine 17 00:01:12,640 --> 00:01:17,960 Speaker 1: is necessarily caused by a vaccine. Bronco spasm with coughing 18 00:01:18,160 --> 00:01:22,160 Speaker 1: tongue itching. I know, I don't know if I've ever 19 00:01:22,200 --> 00:01:25,840 Speaker 1: had an ischy tongue. It's not just injuries. You can 20 00:01:25,920 --> 00:01:34,560 Speaker 1: look up how many deaths were there there were. Okay, 21 00:01:38,400 --> 00:01:41,480 Speaker 1: now let me back up and say that before you 22 00:01:41,520 --> 00:01:45,160 Speaker 1: get to any of this, there is an extremely prominent 23 00:01:45,240 --> 00:01:48,840 Speaker 1: and detailed disclaimer that you have to click through. The 24 00:01:48,920 --> 00:01:53,360 Speaker 1: disclaimer is very clear that just because an injury is 25 00:01:53,400 --> 00:01:58,400 Speaker 1: reported here does not mean a vaccine caused that injury. 26 00:01:59,000 --> 00:02:01,480 Speaker 1: You actually have to click that you read the disclaimer 27 00:02:01,800 --> 00:02:05,640 Speaker 1: in order to view the data. The fact is anyone 28 00:02:05,760 --> 00:02:08,639 Speaker 1: can report a claim to this website and it'll show up. 29 00:02:09,240 --> 00:02:12,760 Speaker 1: That doesn't mean it's true. It's just a claim that 30 00:02:12,800 --> 00:02:15,440 Speaker 1: will help the Centers for Disease Control and Prevention and 31 00:02:15,480 --> 00:02:19,440 Speaker 1: the Food and Drug Administration catch any troubling side effects 32 00:02:19,480 --> 00:02:22,720 Speaker 1: that are occurring because of vaccines. And this is just 33 00:02:22,840 --> 00:02:26,720 Speaker 1: one of many ways the federal government monitors these things. 34 00:02:28,720 --> 00:02:32,840 Speaker 1: This is just good responsible science. When you have a 35 00:02:32,880 --> 00:02:36,160 Speaker 1: mass vaccination campaign, you want to keep an eye on 36 00:02:36,200 --> 00:02:41,079 Speaker 1: it in case any truly troubling patterns emerge. These systems 37 00:02:41,120 --> 00:02:47,200 Speaker 1: have helped flag problems before the CDC recommended a roadavirus 38 00:02:47,320 --> 00:02:51,920 Speaker 1: vaccine be pulled from market. That was after fifteen cases 39 00:02:51,919 --> 00:02:55,320 Speaker 1: of vowel obstruction among infants who received the vaccine had 40 00:02:55,320 --> 00:03:00,639 Speaker 1: been reported in THEIRS. These kinds of monitoring effort are 41 00:03:00,760 --> 00:03:03,760 Speaker 1: why the CDC decided to pause the Johnson and Johnson 42 00:03:03,840 --> 00:03:07,040 Speaker 1: vaccine roll out in April after six people who got 43 00:03:07,040 --> 00:03:12,760 Speaker 1: it experienced blood clots. This is the system working, not 44 00:03:13,000 --> 00:03:18,119 Speaker 1: a problem with the system. But correlation is not causation. 45 00:03:18,960 --> 00:03:22,720 Speaker 1: Every report in vrors is not indicative of a catastrophic 46 00:03:22,800 --> 00:03:28,560 Speaker 1: vaccine side effect. In the anti vax world, virors has 47 00:03:28,720 --> 00:03:33,680 Speaker 1: long occupied this sort of contradictory territory. It's both something 48 00:03:33,840 --> 00:03:38,480 Speaker 1: untrustworthy and proof that vaccines are not as safe as 49 00:03:38,480 --> 00:03:41,880 Speaker 1: the government says. So they have argued for for years 50 00:03:42,160 --> 00:03:45,960 Speaker 1: that the data can't be trusted. UM, that the CDC 51 00:03:46,080 --> 00:03:49,760 Speaker 1: and the FDA, UM if there's an event that's credible 52 00:03:49,840 --> 00:03:53,000 Speaker 1: that's reported to it, that they don't act on it intentionally. 53 00:03:53,920 --> 00:03:56,960 Speaker 1: Um And then it's all part of a government conspiracy 54 00:03:57,120 --> 00:04:03,360 Speaker 1: to hide the actual adverse events due to due to immunization. 55 00:04:04,080 --> 00:04:07,800 Speaker 1: This is Joe Smiser. He's the head of the Public 56 00:04:07,800 --> 00:04:11,840 Speaker 1: Good Projects, a public health nonprofit that has been analyzing 57 00:04:11,920 --> 00:04:16,960 Speaker 1: vaccine misinformation over the past year. Joe has noticed anti 58 00:04:17,040 --> 00:04:20,440 Speaker 1: vaccine groups changing their script a bit here and now 59 00:04:21,000 --> 00:04:27,120 Speaker 1: they're saying that in addition to THEIRS not being trusted, 60 00:04:27,640 --> 00:04:32,240 Speaker 1: also you should report to THEIRS and any any adverse event, 61 00:04:32,360 --> 00:04:35,919 Speaker 1: make sure you report to THEIRS. Robert F. Kennedy Juniors 62 00:04:36,040 --> 00:04:40,560 Speaker 1: organization the Children's Health Defense encourages people to report to errors. 63 00:04:41,240 --> 00:04:45,160 Speaker 1: It also frequently sends out newsletters with subject lines trumpeting 64 00:04:45,160 --> 00:04:48,240 Speaker 1: the numbers of injuries or deaths reported in the database 65 00:04:48,360 --> 00:04:52,840 Speaker 1: after COVID vaccines. All of the context of the disclaimers 66 00:04:52,839 --> 00:04:57,120 Speaker 1: in the database, though, are conveniently missing. The way Joe 67 00:04:57,120 --> 00:05:02,400 Speaker 1: explains it, groups like Kennedy's have basic weaponized bears, and 68 00:05:02,440 --> 00:05:05,599 Speaker 1: they'll look for any adverse event and then they'll turn 69 00:05:05,680 --> 00:05:09,400 Speaker 1: that into media. So there'll be memes and videos, and 70 00:05:09,440 --> 00:05:12,440 Speaker 1: there are very popular videos of people just going through 71 00:05:13,120 --> 00:05:17,320 Speaker 1: every single instance of someone reporting an adverse event to bears, 72 00:05:17,360 --> 00:05:18,800 Speaker 1: and they'll read it out loud, and some of these 73 00:05:18,880 --> 00:05:21,400 Speaker 1: videos are two and a half hours long of the 74 00:05:21,400 --> 00:05:24,080 Speaker 1: person just reading out loud all of the things reported 75 00:05:24,080 --> 00:05:26,559 Speaker 1: to bears. And then at the same time, the same 76 00:05:26,600 --> 00:05:30,039 Speaker 1: groups and the same individuals will say, Okay, well that 77 00:05:30,120 --> 00:05:33,400 Speaker 1: can't be trusted, so go to this new system. So 78 00:05:33,440 --> 00:05:38,039 Speaker 1: basically they get believers to report alleged injuries. Then they 79 00:05:38,080 --> 00:05:41,839 Speaker 1: make content out of those stats. It is a self 80 00:05:41,839 --> 00:05:47,400 Speaker 1: perpetuating panic machine. The anti vaccine movement doesn't so much 81 00:05:47,880 --> 00:05:55,520 Speaker 1: manufacture reality as manipulated bears. Is one of the latest 82 00:05:55,560 --> 00:05:59,800 Speaker 1: lines of attack from anti vaccine groups for causing doubt 83 00:06:00,120 --> 00:06:05,960 Speaker 1: round vaccines. Somehow various data is untrustworthy and also proof 84 00:06:06,240 --> 00:06:11,080 Speaker 1: of everything anti vaccine groups are saying. Despite this giant 85 00:06:11,200 --> 00:06:17,040 Speaker 1: cognitive disconnect, this message has spread far and wide. Mike 86 00:06:17,120 --> 00:06:20,080 Speaker 1: Joe says, there are videos of people just doing the 87 00:06:20,120 --> 00:06:22,799 Speaker 1: same thing we did, checking out the data and reading 88 00:06:22,839 --> 00:06:25,760 Speaker 1: it aloud. That is ungentleman. I'm wanted to see d 89 00:06:25,960 --> 00:06:29,760 Speaker 1: sees web page right, and I decided that I needed 90 00:06:29,760 --> 00:06:33,440 Speaker 1: to see the results for the vaccines and their simptoms 91 00:06:33,520 --> 00:06:39,720 Speaker 1: and the dead that this particular video was viewed more 92 00:06:39,760 --> 00:06:45,039 Speaker 1: than twenty one thousand times on Facebook. When they get 93 00:06:45,040 --> 00:06:48,080 Speaker 1: to the alleged deaths, the speaker in the video just 94 00:06:48,120 --> 00:06:52,560 Speaker 1: starts scrolling through the hundreds of cases. Dare marry a 95 00:06:52,680 --> 00:06:56,640 Speaker 1: dead people? Dead people? Oh, nobody not talked about the 96 00:06:56,720 --> 00:06:59,960 Speaker 1: people are dead from the vaccine, much less COVID. It's 97 00:07:01,920 --> 00:07:06,479 Speaker 1: the video doesn't mention any other context. All the average 98 00:07:06,520 --> 00:07:10,880 Speaker 1: person would see is an endless stream of alleged deaths 99 00:07:10,920 --> 00:07:19,000 Speaker 1: related to COVID vaccines. And by the way, Facebook has 100 00:07:19,040 --> 00:07:21,000 Speaker 1: put a disclaimer on the top of this video that 101 00:07:21,040 --> 00:07:24,280 Speaker 1: says it's missing context, but you can still see it 102 00:07:25,000 --> 00:07:33,760 Speaker 1: and share it. Not ability to distort reality is one 103 00:07:33,800 --> 00:07:36,920 Speaker 1: of the reasons why anti vaccine extremists have had a 104 00:07:36,920 --> 00:07:41,840 Speaker 1: good year. Today, these groups are more powerful than ever. 105 00:07:42,880 --> 00:07:47,360 Speaker 1: Misinformation is running rampant. Only about a third of the 106 00:07:47,440 --> 00:07:52,240 Speaker 1: US population is fully vaccinated, and it's unclear exactly when 107 00:07:52,320 --> 00:07:57,240 Speaker 1: we will get to widespread immunity from the virus. Doubt reigns, 108 00:07:58,440 --> 00:08:05,600 Speaker 1: but there is hope. In the final episode of this series, 109 00:08:06,280 --> 00:08:10,160 Speaker 1: we're going to look forward. The majority of Americans are 110 00:08:10,240 --> 00:08:13,400 Speaker 1: now faced with the choice of whether to get vaccinated 111 00:08:13,480 --> 00:08:17,360 Speaker 1: against COVID nineteen. We're going to examine how the medical 112 00:08:17,480 --> 00:08:23,000 Speaker 1: establishment and public health has failed in inspiring vaccine confidence 113 00:08:23,720 --> 00:08:27,040 Speaker 1: and what can be done to fix it. One of 114 00:08:27,040 --> 00:08:29,920 Speaker 1: the answers to that question can be found in the 115 00:08:30,160 --> 00:08:35,800 Speaker 1: least likely of places. I'm Bloomberg News health reporter Kristin V. 116 00:08:35,920 --> 00:08:54,160 Speaker 1: Brown from the Pregnosis podcast. This is Doubt. Joe Smizer 117 00:08:54,679 --> 00:08:58,480 Speaker 1: of the Public Good Projects says anti vaccine groups are 118 00:08:58,600 --> 00:09:05,079 Speaker 1: in an especially strong position. I think is going to 119 00:09:05,120 --> 00:09:07,640 Speaker 1: be the year of the anti vaccor. Like they're getting 120 00:09:07,679 --> 00:09:10,720 Speaker 1: more money than ever before, they're more organized never before. 121 00:09:10,760 --> 00:09:13,840 Speaker 1: They actually have elected representatives who believe in their viewpoints. 122 00:09:14,280 --> 00:09:18,800 Speaker 1: They're more global than ever before, and so the infrastructure 123 00:09:18,920 --> 00:09:21,200 Speaker 1: is so much more solid than it than it ever 124 00:09:21,280 --> 00:09:23,840 Speaker 1: has been. This has just added so much fuel onto 125 00:09:23,880 --> 00:09:26,920 Speaker 1: their their fire, and now we've got signal fires all 126 00:09:26,960 --> 00:09:30,320 Speaker 1: over the all over the globe. It's it's what they've 127 00:09:30,360 --> 00:09:35,800 Speaker 1: been hoping for. Um, It's it's a global mass immunization effort. 128 00:09:36,440 --> 00:09:40,600 Speaker 1: This is a big problem. As we've shown in this series, 129 00:09:41,160 --> 00:09:44,120 Speaker 1: anti vaccine groups have been refining how to spread out 130 00:09:44,480 --> 00:09:49,000 Speaker 1: for decades. Andrew Wakefield gave vaccine skepticism of a new 131 00:09:49,080 --> 00:09:52,240 Speaker 1: or of science. Jenny McCarthy, I mean it part of 132 00:09:52,280 --> 00:09:56,520 Speaker 1: popular culture, and newer waves of anti vaccine activists like 133 00:09:56,640 --> 00:10:00,520 Speaker 1: Robert F. Kennedy Jr. Have used social media to turn 134 00:10:00,559 --> 00:10:06,160 Speaker 1: this messaging into viral content. The groundwork for an explosion 135 00:10:06,559 --> 00:10:10,880 Speaker 1: of anti vaccine sentiment had been laid long before the 136 00:10:10,880 --> 00:10:15,440 Speaker 1: global pandemic. This worries Joe. I don't think we're going 137 00:10:15,480 --> 00:10:19,160 Speaker 1: to go back. That's that's my concern is I think, 138 00:10:19,920 --> 00:10:23,760 Speaker 1: like I mentioned, that infrastructure is just so well built now. 139 00:10:24,360 --> 00:10:29,559 Speaker 1: Going into there had already been massive protests against vaccine mandates. 140 00:10:30,280 --> 00:10:35,400 Speaker 1: Estates tried to tighten childhood ammunization laws. So it's easy 141 00:10:35,480 --> 00:10:38,400 Speaker 1: to see why it didn't take very long for talk 142 00:10:38,480 --> 00:10:43,600 Speaker 1: about COVID vaccines to turn to talk about vaccine skepticism, 143 00:10:43,760 --> 00:10:49,280 Speaker 1: like way before any vaccine was anywhere near ready, And 144 00:10:49,360 --> 00:10:51,240 Speaker 1: we saw that all through the spring. If you follow 145 00:10:51,280 --> 00:10:54,720 Speaker 1: news reporting on on covid um, there was a lot 146 00:10:54,760 --> 00:10:58,400 Speaker 1: of reporting started pretty much right away what if people 147 00:10:58,440 --> 00:11:00,840 Speaker 1: won't take a vaccine for COVID when we have one? 148 00:11:01,160 --> 00:11:05,199 Speaker 1: And it was mostly using the misinformation frame as a 149 00:11:05,280 --> 00:11:09,200 Speaker 1: kind of explanatory framework for why people um didn't want 150 00:11:09,200 --> 00:11:12,480 Speaker 1: to vaccinate. And then the misinformation frame is pretty pervasive. 151 00:11:13,280 --> 00:11:18,400 Speaker 1: Bernice Housman studies medical controversies at Penn State College of Medicine. 152 00:11:19,400 --> 00:11:22,760 Speaker 1: Bernice breaks it down like this, there are two different 153 00:11:22,840 --> 00:11:26,239 Speaker 1: theories that people generally use for why people are skeptical 154 00:11:26,320 --> 00:11:30,840 Speaker 1: of vaccines. The first one is that misinformation is to blame. 155 00:11:31,440 --> 00:11:35,240 Speaker 1: All those viral Facebook videos are causing people to suddenly 156 00:11:35,480 --> 00:11:38,720 Speaker 1: turn on vaccines. As we have talked about a lot 157 00:11:38,760 --> 00:11:43,520 Speaker 1: in this series, The explanation is just overly simplistic. If 158 00:11:43,520 --> 00:11:47,440 Speaker 1: you have no other reason to distrust vaccines, one video 159 00:11:47,600 --> 00:11:50,840 Speaker 1: isn't necessarily going to change your mind about them. And 160 00:11:50,920 --> 00:11:55,040 Speaker 1: thinking about misinformation as the main driver of vaccine skepticism, 161 00:11:55,120 --> 00:11:58,480 Speaker 1: it's problematic because you're never going to fix the problem 162 00:11:58,600 --> 00:12:03,000 Speaker 1: if you're not address saying the real cause. And Bernie says, 163 00:12:03,080 --> 00:12:06,559 Speaker 1: that's where the second theory comes into play. But another 164 00:12:06,679 --> 00:12:10,240 Speaker 1: frame started to emerge over the summer and is now 165 00:12:10,480 --> 00:12:13,600 Speaker 1: supplanting the misinformation frame, and I think it's a really 166 00:12:13,640 --> 00:12:18,840 Speaker 1: really positive development. People started talking about confidence and trust. 167 00:12:19,800 --> 00:12:24,600 Speaker 1: Bernice says three main things helped spur this shift. One 168 00:12:24,800 --> 00:12:30,360 Speaker 1: is that UM, the data from COVID demonstrates, you know, 169 00:12:30,520 --> 00:12:34,000 Speaker 1: really severe existing health disparities along the lines of race 170 00:12:34,040 --> 00:12:38,000 Speaker 1: and ethnicity in this country and also associate economic status. 171 00:12:38,040 --> 00:12:41,520 Speaker 1: Now everybody has known that this these exist, but the 172 00:12:41,600 --> 00:12:45,960 Speaker 1: COVID pandemic has actually really brought that into public view 173 00:12:46,080 --> 00:12:51,400 Speaker 1: and made people understand that um vulnerability to COVID is 174 00:12:51,440 --> 00:12:55,360 Speaker 1: really based on these kinds of social justice issues. It 175 00:12:55,520 --> 00:12:59,040 Speaker 1: wasn't news that there are deep health disparities in America, 176 00:12:59,200 --> 00:13:03,840 Speaker 1: but the pandemic made those disparities very public. It was 177 00:13:03,920 --> 00:13:07,080 Speaker 1: just harder to ignore when so many more people of 178 00:13:07,160 --> 00:13:12,679 Speaker 1: color were dying from the virus. Secondly, Bernie says, all 179 00:13:12,679 --> 00:13:15,400 Speaker 1: the protests of last summer after the murder of George 180 00:13:15,400 --> 00:13:20,120 Speaker 1: Floyd helped to publicize concerns about trust. So they also 181 00:13:20,200 --> 00:13:24,640 Speaker 1: brought out the issue of social justice and especially concerns 182 00:13:24,679 --> 00:13:29,320 Speaker 1: that black communities have about trust and authority. And the 183 00:13:29,320 --> 00:13:34,440 Speaker 1: Trump administrations handling of vaccine development also brought trust into 184 00:13:34,480 --> 00:13:38,760 Speaker 1: the conversation. Vaccine dissenters have been saying all along that 185 00:13:38,840 --> 00:13:42,359 Speaker 1: there's a problem of corruption between the government pharmaceutical companies 186 00:13:42,800 --> 00:13:46,480 Speaker 1: um UM, and these federal agencies. So in the summer, 187 00:13:47,240 --> 00:13:51,600 Speaker 1: ordinary people saw that that could actually happen. Remember all 188 00:13:51,600 --> 00:13:54,160 Speaker 1: those news stories about the White House meddling with the 189 00:13:54,200 --> 00:13:58,720 Speaker 1: f d A and the CDC. Suddenly everyone was talking 190 00:13:58,800 --> 00:14:03,680 Speaker 1: about trust and scenes. So suddenly all of that has led, 191 00:14:03,800 --> 00:14:06,520 Speaker 1: I believe, to this big shift in public health where 192 00:14:06,520 --> 00:14:10,679 Speaker 1: now we see the people talking about vaccine confidence. How 193 00:14:10,720 --> 00:14:14,000 Speaker 1: do you build vaccine confidence if we're going to get 194 00:14:14,040 --> 00:14:17,880 Speaker 1: more people on board with vaccination. This shift in thinking 195 00:14:18,280 --> 00:14:21,320 Speaker 1: is crucial. Now when you think about it, those two 196 00:14:21,320 --> 00:14:26,880 Speaker 1: frames misinformation and confidence are really different. The misinformation frame 197 00:14:27,240 --> 00:14:31,800 Speaker 1: identifies the individual who believes the misinformation as the problem 198 00:14:31,800 --> 00:14:35,920 Speaker 1: who needs to be educated. The confidence frame says, people 199 00:14:36,040 --> 00:14:41,840 Speaker 1: lack confidence in vaccine programs and we need to demonstrate 200 00:14:42,080 --> 00:14:45,080 Speaker 1: that we We need to earn their trust so that 201 00:14:45,160 --> 00:14:48,480 Speaker 1: they have confidence in these programs. So it shifts the 202 00:14:48,600 --> 00:14:53,880 Speaker 1: burden to public health agencies, the government, public health workers 203 00:14:53,920 --> 00:14:59,920 Speaker 1: themselves medical practitioners to understand the reasons for the lack 204 00:15:00,080 --> 00:15:04,400 Speaker 1: of confidence and think about ways to rebuild trust. The 205 00:15:04,480 --> 00:15:08,280 Speaker 1: truth is, our public health officials haven't always done a 206 00:15:08,280 --> 00:15:12,400 Speaker 1: great job of communicating with us about vaccine safety. This 207 00:15:12,520 --> 00:15:15,400 Speaker 1: is a big factor and why so many people are 208 00:15:15,400 --> 00:15:20,240 Speaker 1: skeptical of vaccines right now. Take THEIRS for instance, most 209 00:15:20,280 --> 00:15:23,920 Speaker 1: people who have heard of THEIRS probably learned about it 210 00:15:23,960 --> 00:15:27,880 Speaker 1: from an anti vaccine group because there just isn't otherwise 211 00:15:28,040 --> 00:15:32,560 Speaker 1: enthusiasm for talking about problems with vaccines. This makes it 212 00:15:32,600 --> 00:15:35,960 Speaker 1: seem plausible that the government is trying to hide this data, 213 00:15:36,600 --> 00:15:40,520 Speaker 1: even though it's totally public and out there for anyone 214 00:15:40,560 --> 00:15:45,280 Speaker 1: to look at. Anti vaccine groups are just exacerbating existing 215 00:15:45,320 --> 00:15:50,640 Speaker 1: weaknesses and how we talk about vaccines, and really, when 216 00:15:50,680 --> 00:15:53,880 Speaker 1: there's a lack of formal information. We will always see 217 00:15:53,920 --> 00:15:57,880 Speaker 1: the rise of informal information because people want information, and 218 00:15:57,920 --> 00:16:00,560 Speaker 1: we saw that early in the pandemic with death dumentaries 219 00:16:00,600 --> 00:16:05,080 Speaker 1: like Plandemic that's a so called documentary filled with misinformation 220 00:16:05,480 --> 00:16:08,200 Speaker 1: that became very popular at the start of the pandemic, 221 00:16:08,440 --> 00:16:11,120 Speaker 1: which filled that gap when there wasn't any official information 222 00:16:11,200 --> 00:16:13,840 Speaker 1: coming out from government agencies about the pandemic and its 223 00:16:14,200 --> 00:16:16,520 Speaker 1: levels of contagion and how to contain it. When we 224 00:16:16,600 --> 00:16:19,760 Speaker 1: had gaps in information, we've seen those spaces filled with 225 00:16:19,800 --> 00:16:25,120 Speaker 1: other kinds of misinformation. This is Jennifer Reich, a sociologist 226 00:16:25,240 --> 00:16:30,640 Speaker 1: University of Colorado, Denver who studies vaccine hesitant people. She 227 00:16:30,680 --> 00:16:34,000 Speaker 1: says public health is not doing a great job of 228 00:16:34,080 --> 00:16:38,440 Speaker 1: explaining how they make sure COVID vaccines are safe, and 229 00:16:38,520 --> 00:16:43,280 Speaker 1: so I was surprised to learn how many systems monitor 230 00:16:43,920 --> 00:16:49,720 Speaker 1: vaccine safety by doing things like looking at large health 231 00:16:49,760 --> 00:16:53,520 Speaker 1: maintenance organizations and looking for upticks and emergency room visits 232 00:16:54,120 --> 00:16:56,720 Speaker 1: within the first few days after a vaccination, and then 233 00:16:56,800 --> 00:17:00,280 Speaker 1: looking for patterns that are statistically important to and go 234 00:17:00,360 --> 00:17:02,800 Speaker 1: back and look at the vaccines, and that has been 235 00:17:02,880 --> 00:17:07,560 Speaker 1: successful in identifying very rare adverse reactions to vaccines like 236 00:17:07,560 --> 00:17:10,440 Speaker 1: the vaccine against rotavirus. So there is this real time 237 00:17:10,520 --> 00:17:13,760 Speaker 1: kind of monitoring of both safety and efficacy that happens 238 00:17:14,200 --> 00:17:17,600 Speaker 1: that nobody talks about and that has remained largely invisible 239 00:17:18,440 --> 00:17:21,879 Speaker 1: prior to COVID, and I think during COVID. Imagine if 240 00:17:21,960 --> 00:17:25,440 Speaker 1: the CDC had been proactive about informing people about THEIRS, 241 00:17:25,840 --> 00:17:29,960 Speaker 1: then put ads on YouTube explaining safety standards around vaccines 242 00:17:30,040 --> 00:17:33,439 Speaker 1: before you watch your little nos X video, that wouldn't 243 00:17:33,480 --> 00:17:37,119 Speaker 1: just help combat misinformation, but also help gather more data 244 00:17:37,280 --> 00:17:43,000 Speaker 1: to monitor vaccine safety. Jennifer says, most people want good information. 245 00:17:43,600 --> 00:17:46,240 Speaker 1: It just hasn't been as readily offered to the public. 246 00:17:46,840 --> 00:17:48,760 Speaker 1: But the majority of people right now who are saying 247 00:17:48,800 --> 00:17:51,639 Speaker 1: I want to wait and see are asking for better information. 248 00:17:51,760 --> 00:17:54,800 Speaker 1: They are asking to have a conversation, and they want 249 00:17:54,840 --> 00:17:58,040 Speaker 1: to know what they can do. UM I'm surprised in 250 00:17:58,080 --> 00:18:00,280 Speaker 1: my research to hear how many people are still wiping 251 00:18:00,320 --> 00:18:03,200 Speaker 1: down their groceries and surfaces but not worrying about the air. 252 00:18:03,840 --> 00:18:06,040 Speaker 1: It's we're really far into that to have people not 253 00:18:06,160 --> 00:18:09,280 Speaker 1: fully understand how to the best assign their energies towards 254 00:18:09,320 --> 00:18:13,159 Speaker 1: the best strategies for limiting infection that should that's a 255 00:18:13,240 --> 00:18:18,320 Speaker 1: lack of clarity that has gone on too long and 256 00:18:18,400 --> 00:18:22,080 Speaker 1: needs to be addressed, I think directly. But we could 257 00:18:22,119 --> 00:18:24,680 Speaker 1: go even further to help people make the right decision 258 00:18:25,240 --> 00:18:29,400 Speaker 1: and give them more than just good information. For example, 259 00:18:29,680 --> 00:18:31,520 Speaker 1: if people are worried they might be out for a 260 00:18:31,640 --> 00:18:34,920 Speaker 1: day or two after getting the shop, which is totally possible, 261 00:18:35,440 --> 00:18:37,760 Speaker 1: we can make sure people have paid leave to make 262 00:18:37,800 --> 00:18:41,560 Speaker 1: the choice to get vaccinated easier. And while access to 263 00:18:41,600 --> 00:18:45,480 Speaker 1: information is important, it's not the sole driver of decision making, 264 00:18:46,000 --> 00:18:48,480 Speaker 1: and so what's also important is to think about how 265 00:18:48,480 --> 00:18:50,960 Speaker 1: does this fit into people's priorities, How does it fit 266 00:18:51,000 --> 00:18:53,760 Speaker 1: into their work life, how does it fit into their resources, 267 00:18:54,040 --> 00:18:56,520 Speaker 1: how does it fit into their community and their values? Right, 268 00:18:56,520 --> 00:18:59,080 Speaker 1: how do we think about this more holistically and then 269 00:18:59,160 --> 00:19:01,959 Speaker 1: figure out are their spaces where people are saying they 270 00:19:02,000 --> 00:19:05,520 Speaker 1: need something different. We need to give people the information 271 00:19:06,320 --> 00:19:10,479 Speaker 1: and the resources to make the right choice. Right now, 272 00:19:10,680 --> 00:19:13,960 Speaker 1: we're all living little bubbles. We interact with fewer people 273 00:19:14,200 --> 00:19:19,080 Speaker 1: and do it more cautiously. We're literally distancing from each other, 274 00:19:19,760 --> 00:19:22,199 Speaker 1: and that means we're all living in echo chambers with 275 00:19:22,480 --> 00:19:25,840 Speaker 1: less exposure than ever to new points of view. That's 276 00:19:25,840 --> 00:19:29,200 Speaker 1: exacerbating all of this too. When people make decisions about 277 00:19:29,240 --> 00:19:33,680 Speaker 1: vaccines or anything, really, we all look to those around 278 00:19:33,800 --> 00:19:37,200 Speaker 1: us who who share our lifestyle, who seems similar to us, 279 00:19:37,240 --> 00:19:40,080 Speaker 1: who understand where we're coming from. And it's why churches 280 00:19:40,119 --> 00:19:43,080 Speaker 1: have become such an important rule um in the conversation. 281 00:19:43,160 --> 00:19:46,840 Speaker 1: It's why people look to their community networks. It's why 282 00:19:47,320 --> 00:19:50,439 Speaker 1: there's evidence that barbershops and beauticians have become really important 283 00:19:50,480 --> 00:19:52,919 Speaker 1: sources of health information. People talk to the people that 284 00:19:53,000 --> 00:19:56,000 Speaker 1: they trust. The challenge right now during COVID is that 285 00:19:56,040 --> 00:19:59,080 Speaker 1: we've really limited the number of spaces in which people 286 00:19:59,119 --> 00:20:01,560 Speaker 1: can have comm stations of people they don't already know. 287 00:20:02,520 --> 00:20:06,840 Speaker 1: It's hard to have close, intimate conversations during a time 288 00:20:06,880 --> 00:20:10,280 Speaker 1: when social distancing is recommended and people are scared of 289 00:20:10,280 --> 00:20:14,679 Speaker 1: a highly infectious disease. But there is one place in 290 00:20:14,720 --> 00:20:19,600 Speaker 1: particular where people have been having those conversations and it's 291 00:20:19,600 --> 00:20:24,080 Speaker 1: been helping to re establish trust with the vaccine. Let's 292 00:20:24,080 --> 00:20:34,919 Speaker 1: take a trip to West Virginia. West Virginia isn't the 293 00:20:34,920 --> 00:20:38,439 Speaker 1: state you'd expect to be a vaccine success story. The 294 00:20:38,520 --> 00:20:43,280 Speaker 1: state is extremely rural and registered Republicans now outnumbered Democrats 295 00:20:44,160 --> 00:20:46,480 Speaker 1: These are two groups that we know are among the 296 00:20:46,560 --> 00:20:50,600 Speaker 1: most skeptical of vaccines. It's mountainous terrain and spread out 297 00:20:50,640 --> 00:20:55,639 Speaker 1: population also create logistical challenges for delivering vaccines. Many of 298 00:20:55,640 --> 00:20:58,600 Speaker 1: its residents are also poor, with health conditions that make 299 00:20:58,640 --> 00:21:03,040 Speaker 1: them especially at risk for severe cases of COVID. A 300 00:21:03,080 --> 00:21:07,240 Speaker 1: survey by West Virginia University shortly before vaccines began rolling 301 00:21:07,240 --> 00:21:12,200 Speaker 1: out found that about half the population expressed some level 302 00:21:12,320 --> 00:21:17,400 Speaker 1: of vaccine hesitation. But despite all of these obstacles, West 303 00:21:17,440 --> 00:21:20,359 Speaker 1: Virginia has become a model for other states when it 304 00:21:20,400 --> 00:21:24,440 Speaker 1: comes to vaccination efforts. By mid February, it had already 305 00:21:24,520 --> 00:21:27,159 Speaker 1: used up more than a percent of the vaccines it 306 00:21:27,200 --> 00:21:31,240 Speaker 1: had been allotted, the first state to do so. And 307 00:21:31,280 --> 00:21:34,400 Speaker 1: the reason West Virginia is so successful in vaccinating its 308 00:21:34,440 --> 00:21:39,199 Speaker 1: population has to do with people like Drew Massey. I 309 00:21:39,400 --> 00:21:43,760 Speaker 1: have mentioned first your Hometown Family Pharmacy. Drew is the 310 00:21:43,760 --> 00:21:48,440 Speaker 1: clinical director for Fruit Pharmacies. It's one of West Virginia's 311 00:21:48,480 --> 00:21:52,720 Speaker 1: biggest pharmacy chains, but it doesn't feel like it. Massey says, 312 00:21:52,720 --> 00:21:55,840 Speaker 1: their locations feel like they're part of their local communities. 313 00:21:56,359 --> 00:22:00,000 Speaker 1: For example, not that long ago Drew noticed someone else 314 00:22:00,000 --> 00:22:02,920 Speaker 1: side the store whose car needed to jump. We had 315 00:22:02,920 --> 00:22:04,880 Speaker 1: somebody in the parking lot. They were using their blinkers 316 00:22:04,880 --> 00:22:07,359 Speaker 1: and their battery went dead. Totally nothing to do with 317 00:22:07,400 --> 00:22:09,919 Speaker 1: the shot, nothing to do with pharmacy. Went and got 318 00:22:09,960 --> 00:22:11,760 Speaker 1: the jumper cables, got my car and went over and 319 00:22:11,840 --> 00:22:14,719 Speaker 1: jumped the guy. And I was laughing because I'm like, 320 00:22:14,760 --> 00:22:16,720 Speaker 1: you know, he's not going to think about that me 321 00:22:16,880 --> 00:22:20,200 Speaker 1: necessarily when he talks about his his um COVID shot, 322 00:22:20,960 --> 00:22:22,639 Speaker 1: but he will remember the guy that came out here 323 00:22:22,640 --> 00:22:24,720 Speaker 1: in the parking lot and jumped his car for him, 324 00:22:24,800 --> 00:22:28,560 Speaker 1: wearing wearing his pharmacy smock. Drew told me about the 325 00:22:28,560 --> 00:22:32,119 Speaker 1: fruit store in Nitro, that's a town of seven thousand 326 00:22:32,119 --> 00:22:35,520 Speaker 1: people where he's based. He says, people will happily wait 327 00:22:35,640 --> 00:22:40,400 Speaker 1: hours for a prescription, just chatting with their neighbors. Literally, 328 00:22:40,800 --> 00:22:42,560 Speaker 1: you can tell the people it would be three hours. 329 00:22:43,080 --> 00:22:45,000 Speaker 1: They would get a root beer out of the cooler, 330 00:22:45,080 --> 00:22:46,760 Speaker 1: they would sit down in one of the chairs. They 331 00:22:46,800 --> 00:22:49,119 Speaker 1: used to have rocking chairs out front of the pharmacy, 332 00:22:49,480 --> 00:22:51,000 Speaker 1: and they would stay there for two or three hours 333 00:22:51,000 --> 00:22:53,840 Speaker 1: and they wouldn't care. Pretty much, everything I heard from 334 00:22:53,920 --> 00:22:57,240 Speaker 1: Drew seemed to exemplify what I've heard about the best 335 00:22:57,400 --> 00:23:01,760 Speaker 1: ways to address hesitancy. He gives people good information, but 336 00:23:02,080 --> 00:23:06,200 Speaker 1: while listening to their concerns about vaccines. Instead of dismissing them, 337 00:23:06,240 --> 00:23:10,879 Speaker 1: he addresses those specific concerns and all of that information 338 00:23:11,200 --> 00:23:14,359 Speaker 1: is coming from someone in the community that the people 339 00:23:14,480 --> 00:23:17,679 Speaker 1: Drew is talking with trust. I think a lot of 340 00:23:17,680 --> 00:23:19,480 Speaker 1: times in the healthcare field, I think a lot of 341 00:23:19,560 --> 00:23:21,679 Speaker 1: us get into the thing that we're providing information and 342 00:23:21,720 --> 00:23:25,280 Speaker 1: it's either cold and stagnant, or it seems like it's 343 00:23:25,320 --> 00:23:28,000 Speaker 1: coming from I'm up here and you're down here, and 344 00:23:28,040 --> 00:23:30,960 Speaker 1: it's not really a conversation. It's more like I'm talking 345 00:23:30,960 --> 00:23:33,400 Speaker 1: down to you. And I don't think that people key 346 00:23:33,400 --> 00:23:35,159 Speaker 1: in on that. Nobody wants to be talked down to. 347 00:23:39,560 --> 00:23:42,320 Speaker 1: West Virginia had some things going for it when it 348 00:23:42,359 --> 00:23:45,600 Speaker 1: came to the vaccine rollout. It's got a small population 349 00:23:46,000 --> 00:23:50,520 Speaker 1: about the size of Phoenix, Arizona, and as everyone you 350 00:23:50,560 --> 00:23:53,040 Speaker 1: will ever talk to from West Virginia will tell you, 351 00:23:53,680 --> 00:23:57,880 Speaker 1: it's a very community oriented place. Um when people say 352 00:23:57,920 --> 00:24:00,639 Speaker 1: you have a tight knit community and everyone knows everyone 353 00:24:00,680 --> 00:24:04,080 Speaker 1: in West Virginia, it's it's almost true. This is i'n 354 00:24:04,200 --> 00:24:07,320 Speaker 1: I'm John Iron is a physician as well as the 355 00:24:07,359 --> 00:24:10,640 Speaker 1: top health officer in the state. She is West Virginia 356 00:24:10,880 --> 00:24:13,560 Speaker 1: born and raised. It's such a different feeling when you 357 00:24:13,600 --> 00:24:16,320 Speaker 1: walk down the street people say hi to you and smile. 358 00:24:16,520 --> 00:24:19,000 Speaker 1: I mean, it's just a different vibe. You go through 359 00:24:19,280 --> 00:24:21,719 Speaker 1: d C you smile and say hi, people look at 360 00:24:21,760 --> 00:24:23,760 Speaker 1: you like you're weird. But here if you don't say hi, 361 00:24:24,400 --> 00:24:28,000 Speaker 1: it's almost rude. At the start of the vaccine rollout, 362 00:24:28,560 --> 00:24:32,760 Speaker 1: Iron says, West Virginia made a decision that would prove key. 363 00:24:33,000 --> 00:24:36,840 Speaker 1: Every other state signed onto a federal program partnering with 364 00:24:36,880 --> 00:24:41,200 Speaker 1: CBS and Walgreens to vaccinate nursing homes, West Virginia didn't. 365 00:24:41,840 --> 00:24:44,800 Speaker 1: They went with the local guys like Fruth. But we 366 00:24:44,840 --> 00:24:48,120 Speaker 1: don't have a wall Greens and CVS on on every corner. 367 00:24:48,600 --> 00:24:52,479 Speaker 1: And so we felt like in West Virginia, since these 368 00:24:52,640 --> 00:24:57,720 Speaker 1: long term care facilities and a fruit pharmacy or a 369 00:24:57,760 --> 00:25:02,680 Speaker 1: locally owned pharmacy was our coming into a long term 370 00:25:02,680 --> 00:25:06,320 Speaker 1: care facility, they knew the patients, um the records were 371 00:25:06,359 --> 00:25:09,920 Speaker 1: already there. There was that trust built in with them. 372 00:25:10,000 --> 00:25:13,160 Speaker 1: We could have this accomplished at a faster rate. Rather 373 00:25:13,200 --> 00:25:16,600 Speaker 1: than getting into the nitty gritty with the federal pharmacy. 374 00:25:16,760 --> 00:25:20,320 Speaker 1: This was important for a few reasons. First off, it 375 00:25:20,440 --> 00:25:22,639 Speaker 1: was just a better way to get the vaccine to 376 00:25:22,720 --> 00:25:26,879 Speaker 1: the many rural pockets of the state. And like I says, 377 00:25:27,640 --> 00:25:31,200 Speaker 1: there was trust and logistics in place because these pharmacies, 378 00:25:31,240 --> 00:25:34,359 Speaker 1: in many cases already visited facilities to take care of 379 00:25:34,400 --> 00:25:38,280 Speaker 1: other medical needs or do COVID testing. The pharmacists giving 380 00:25:38,280 --> 00:25:42,119 Speaker 1: out the shots were part of the community. One locally 381 00:25:42,160 --> 00:25:46,080 Speaker 1: owned pharmacist, they weren't able to go in UM for 382 00:25:46,160 --> 00:25:49,159 Speaker 1: that second round. They had a personal family emergency, so 383 00:25:49,200 --> 00:25:51,919 Speaker 1: we offered to send in a backup team to do that. 384 00:25:52,119 --> 00:25:54,600 Speaker 1: He said, no, UM, just give me one day to 385 00:25:54,680 --> 00:25:58,399 Speaker 1: take care of this family business emergency. And he wanted 386 00:25:58,440 --> 00:26:01,160 Speaker 1: to go into that UM long from care facility because 387 00:26:01,240 --> 00:26:04,480 Speaker 1: him and his team they knew the patients. That's West 388 00:26:04,560 --> 00:26:06,920 Speaker 1: Virginia for you. It is not just a job for them, 389 00:26:07,000 --> 00:26:10,000 Speaker 1: It is family to them. They know these patients, they 390 00:26:10,040 --> 00:26:12,080 Speaker 1: want to do what they know them by their first name. 391 00:26:12,119 --> 00:26:16,520 Speaker 1: Even Fine says those relationships were key not just in 392 00:26:16,600 --> 00:26:19,840 Speaker 1: getting the roll out to go smoothly, but also in 393 00:26:19,920 --> 00:26:26,320 Speaker 1: making people comfortable opting into vaccination. Getting it into local pharmacies. 394 00:26:26,480 --> 00:26:30,360 Speaker 1: You know, and we have community partners with churches, places 395 00:26:30,359 --> 00:26:32,520 Speaker 1: where you can go and ask all the questions you 396 00:26:32,560 --> 00:26:35,600 Speaker 1: need and get proper answers. Makes a big deal for 397 00:26:35,640 --> 00:26:41,080 Speaker 1: people who are vaccine deliberating vaccine and different right now, 398 00:26:41,200 --> 00:26:44,359 Speaker 1: people who don't trust the vaccine process, because they're going 399 00:26:44,440 --> 00:26:48,320 Speaker 1: to trust asking those questions to you know, those people 400 00:26:48,400 --> 00:26:51,320 Speaker 1: that they are most comfortable asking, you know, basic questions 401 00:26:51,320 --> 00:26:53,919 Speaker 1: that either they're embarrassed to ask, they're not sure about 402 00:26:54,000 --> 00:26:56,920 Speaker 1: because they hear people like me talking all the time. 403 00:26:56,960 --> 00:27:00,640 Speaker 1: They don't know me. Though, Binds messaging pretty much mirrored 404 00:27:00,640 --> 00:27:04,240 Speaker 1: what Drew had told me. She says it's important to 405 00:27:04,280 --> 00:27:07,840 Speaker 1: take people's concerns seriously and to not force them to 406 00:27:07,920 --> 00:27:11,280 Speaker 1: make a decision. She says she has a close family 407 00:27:11,320 --> 00:27:14,560 Speaker 1: member who believes a lot of the conspiracies about vaccines, 408 00:27:15,000 --> 00:27:17,680 Speaker 1: and she gets where people who believe that stuff are 409 00:27:17,680 --> 00:27:20,760 Speaker 1: coming from. But I think West Virginia, because of their 410 00:27:20,800 --> 00:27:24,480 Speaker 1: community partnerships, the trust that people have with their friends 411 00:27:24,480 --> 00:27:27,159 Speaker 1: and family who have taken it, that's going to bode 412 00:27:27,160 --> 00:27:30,000 Speaker 1: more well than with someone even like me telling you 413 00:27:30,040 --> 00:27:33,119 Speaker 1: to take the vaccine. And it's true that almost everyone 414 00:27:33,200 --> 00:27:37,199 Speaker 1: knows each other somehow through some way, and I think 415 00:27:37,280 --> 00:27:39,600 Speaker 1: the more people that take it, the more people were 416 00:27:39,600 --> 00:27:49,359 Speaker 1: going to have uptake it. Actually. Chris Martin is a 417 00:27:49,359 --> 00:27:53,760 Speaker 1: professor at West Virginia University School of Public Health. He 418 00:27:53,840 --> 00:27:56,760 Speaker 1: says all of the stuff happening at the community level 419 00:27:56,760 --> 00:28:02,280 Speaker 1: in West Virginia was aided by a collector of statewide identity. 420 00:28:02,560 --> 00:28:06,040 Speaker 1: For example, the state chose Courses Boss, the head of 421 00:28:06,040 --> 00:28:09,840 Speaker 1: the university's Health Science Center, to be its coronavirus are. 422 00:28:10,600 --> 00:28:14,440 Speaker 1: Everybody knows West Virginia University in West Virginia. If you 423 00:28:14,600 --> 00:28:16,800 Speaker 1: drive here, it will take you about one minute to 424 00:28:16,840 --> 00:28:19,800 Speaker 1: find somebody wearing the symbol of our university on a hat, 425 00:28:19,960 --> 00:28:22,400 Speaker 1: on a T shirt. It's an enormous source of pride 426 00:28:23,280 --> 00:28:27,679 Speaker 1: and trust. Chris also says the Universities College of Media 427 00:28:28,080 --> 00:28:31,160 Speaker 1: did a focus group to help the state understand what 428 00:28:31,280 --> 00:28:35,280 Speaker 1: kinds of concerns people had, and those focus groups clearly 429 00:28:35,320 --> 00:28:41,400 Speaker 1: identified not surprisingly, but critically important for us to appreciate 430 00:28:41,480 --> 00:28:44,760 Speaker 1: that a lot of West Virginians were worried about infringement 431 00:28:44,760 --> 00:28:49,520 Speaker 1: on personal liberties and the freedom to choose. Well, we 432 00:28:49,600 --> 00:28:54,480 Speaker 1: can address that. This was something both Drew and I'm 433 00:28:54,640 --> 00:28:59,480 Speaker 1: emphasized in our conversations. You can't try and force someone 434 00:28:59,560 --> 00:29:05,520 Speaker 1: to get back eccinated, especially perhaps in West Virginia. Chris 435 00:29:05,520 --> 00:29:07,640 Speaker 1: actually wrote an op ed that was published in a 436 00:29:07,680 --> 00:29:11,800 Speaker 1: few West Virginia publications that address this concern. In it, 437 00:29:12,240 --> 00:29:16,760 Speaker 1: he does this really clever thing. He totally flips the script. 438 00:29:17,520 --> 00:29:20,840 Speaker 1: He argues that not only is getting vaccinated a choice, 439 00:29:21,240 --> 00:29:24,640 Speaker 1: it's an empowering choice. It's a decision you can make 440 00:29:24,760 --> 00:29:28,080 Speaker 1: to help keep your friends and family safe, to help 441 00:29:28,520 --> 00:29:31,800 Speaker 1: end the pandemic. This is a tool that you have 442 00:29:32,000 --> 00:29:35,840 Speaker 1: should you choose, and it's totally voluntary. But should you 443 00:29:35,920 --> 00:29:38,920 Speaker 1: choose to do this, you are playing an important role 444 00:29:39,280 --> 00:29:42,920 Speaker 1: in getting us back to normal life. This all goes 445 00:29:42,960 --> 00:29:46,480 Speaker 1: back to something I've heard over and over in reporting 446 00:29:46,560 --> 00:29:51,560 Speaker 1: this series. Meet people where they are, address their concerns. 447 00:29:52,240 --> 00:29:55,280 Speaker 1: Do not just shove facts in people's face and hope 448 00:29:55,320 --> 00:29:58,080 Speaker 1: they make the right choice. So you first, you've got 449 00:29:58,080 --> 00:30:01,479 Speaker 1: to listen. And the second opponent is who is going 450 00:30:01,520 --> 00:30:05,120 Speaker 1: to be trusted is going to vary by community. Polls 451 00:30:05,360 --> 00:30:08,880 Speaker 1: frequently find that people are more likely to trust their 452 00:30:08,960 --> 00:30:13,480 Speaker 1: own healthcare providers, like doctors or pharmacists. And as a 453 00:30:13,480 --> 00:30:16,720 Speaker 1: public health community, if we understand a lot of those 454 00:30:16,800 --> 00:30:22,720 Speaker 1: specifics and understand the menu of common vaccine hesitancy or 455 00:30:22,760 --> 00:30:25,720 Speaker 1: the basis of vaccine hesitancy, and so that we can 456 00:30:25,760 --> 00:30:30,480 Speaker 1: respond in very specific ways to those specific concerns. From 457 00:30:30,480 --> 00:30:33,160 Speaker 1: a person of trust, I think we can sway large 458 00:30:33,240 --> 00:30:38,040 Speaker 1: numbers of people. That doesn't mean we can't have mass 459 00:30:38,160 --> 00:30:41,600 Speaker 1: vaccination sites like the Javitson or New York City. That 460 00:30:41,680 --> 00:30:45,840 Speaker 1: approach is fine for someone like me that totally trust vaccines. 461 00:30:46,560 --> 00:30:49,280 Speaker 1: I would let anyone stick a vaccine needle on me 462 00:30:49,320 --> 00:30:53,120 Speaker 1: at this point. But for the hesitant messaging coming from 463 00:30:53,120 --> 00:30:57,200 Speaker 1: your church or vaccinations coming from your chatty neighborhood pharmacist, 464 00:30:58,040 --> 00:31:00,760 Speaker 1: that goes a long way. You have to have the 465 00:31:00,800 --> 00:31:04,760 Speaker 1: flexibility to address the realities of your community. I don't 466 00:31:04,760 --> 00:31:08,960 Speaker 1: want to represent what West Virginia has done, as clearly 467 00:31:09,000 --> 00:31:13,520 Speaker 1: it's not a template that you migrate somewhere else and 468 00:31:13,560 --> 00:31:16,960 Speaker 1: apply without change. No matter where in the world you are, 469 00:31:17,760 --> 00:31:21,120 Speaker 1: it always comes back to starting from a place of empathy. 470 00:31:21,240 --> 00:31:26,640 Speaker 1: There's a very poor correlation between scientific measures and how 471 00:31:26,720 --> 00:31:31,280 Speaker 1: people fear, get worried, get upset about a specific issue. 472 00:31:31,800 --> 00:31:34,280 Speaker 1: This explains, for example, why when you're swimming at the 473 00:31:34,280 --> 00:31:36,320 Speaker 1: beach and you heard that there was a shark attack 474 00:31:36,360 --> 00:31:39,640 Speaker 1: in Australia the week before. In spite of all the 475 00:31:39,680 --> 00:31:42,600 Speaker 1: evidence and your rational brain as you swim in the ocean, 476 00:31:42,680 --> 00:31:45,200 Speaker 1: you're going to be thinking about a shark attack. Um 477 00:31:45,280 --> 00:31:47,680 Speaker 1: and and it's not based on data. So the correlation 478 00:31:47,720 --> 00:31:52,640 Speaker 1: between scientific measures and perceptions of risk what people get 479 00:31:52,720 --> 00:31:57,200 Speaker 1: upset about, worried about, fearful of, or mistrust is very poor. 480 00:31:58,080 --> 00:32:01,200 Speaker 1: From that, I think flows and understanding that we have 481 00:32:01,360 --> 00:32:06,960 Speaker 1: to approach vaccine hesitancy with sensitivity as experts. Chris talks 482 00:32:06,960 --> 00:32:10,960 Speaker 1: about vaccination in a way I hadn't heard before. He 483 00:32:11,040 --> 00:32:13,160 Speaker 1: says he thinks a big part of why people feel 484 00:32:13,160 --> 00:32:16,600 Speaker 1: so weird about it is that it's intimate. No, that 485 00:32:16,680 --> 00:32:18,880 Speaker 1: might sound like a strange word, but I think that 486 00:32:19,040 --> 00:32:22,000 Speaker 1: is the best word for it. Think about it. I 487 00:32:22,120 --> 00:32:25,760 Speaker 1: am going to roll up my sleeve and somebody is 488 00:32:25,840 --> 00:32:29,280 Speaker 1: going to inject a substance that you know, we can 489 00:32:29,320 --> 00:32:32,720 Speaker 1: have a long conversation about. But that's a really complicated 490 00:32:32,760 --> 00:32:37,800 Speaker 1: substance that you're injecting into me. That intimate act ultimately 491 00:32:37,880 --> 00:32:41,760 Speaker 1: requires trust. There's only so far you can go with 492 00:32:41,800 --> 00:32:44,000 Speaker 1: the data. At the end of the day, I've got 493 00:32:44,000 --> 00:32:47,400 Speaker 1: to say, this person has my best interests in mind, 494 00:32:47,760 --> 00:32:50,720 Speaker 1: they want to do what's right for me. I'm going 495 00:32:50,760 --> 00:32:52,920 Speaker 1: to trust them, and I'm going to allow this to happen. 496 00:32:53,480 --> 00:32:55,600 Speaker 1: I want to jump in here and say that in 497 00:32:55,640 --> 00:32:59,280 Speaker 1: the series, I've included conversations with a lot of experts 498 00:32:59,320 --> 00:33:03,280 Speaker 1: like Chris that preach empathy and understanding of people with 499 00:33:03,360 --> 00:33:08,960 Speaker 1: concerns about vaccines. But this is still pretty novel thinking 500 00:33:09,120 --> 00:33:12,240 Speaker 1: in the world of public health. I commonly hear the 501 00:33:12,240 --> 00:33:14,800 Speaker 1: the answer to this is just give them the data. 502 00:33:15,040 --> 00:33:16,840 Speaker 1: He thinks that a lot of the work that needs 503 00:33:16,880 --> 00:33:20,040 Speaker 1: to be done is really on the side of public health, 504 00:33:20,960 --> 00:33:24,840 Speaker 1: teaching physicians and nurses and public health experts how to 505 00:33:24,920 --> 00:33:28,960 Speaker 1: talk to people. For example, he says, one issue is 506 00:33:28,960 --> 00:33:32,640 Speaker 1: that there isn't always full transparency when it comes to vaccines. 507 00:33:33,440 --> 00:33:35,240 Speaker 1: Part of the problem we have is a public health 508 00:33:35,240 --> 00:33:38,960 Speaker 1: community is we want to be transparent, but we want 509 00:33:38,960 --> 00:33:41,120 Speaker 1: to be transparent about only the positive things, and we 510 00:33:41,160 --> 00:33:44,600 Speaker 1: struggle when it comes to those negative things. There isn't 511 00:33:44,600 --> 00:33:50,040 Speaker 1: always robust conversation about things like side effects. One example 512 00:33:50,080 --> 00:33:52,400 Speaker 1: that I use when I speak to primary care providers 513 00:33:53,120 --> 00:33:56,160 Speaker 1: is I go through statements and I say, tell me 514 00:33:56,240 --> 00:33:57,920 Speaker 1: this if this is a true or a false state. 515 00:33:58,760 --> 00:34:02,080 Speaker 1: And the statement that I use is the US federal 516 00:34:02,120 --> 00:34:07,959 Speaker 1: government currently financially compensates people for alleged adverse events from 517 00:34:08,080 --> 00:34:12,319 Speaker 1: routine vaccinations. When I say that statement to primary care providers, 518 00:34:12,840 --> 00:34:15,560 Speaker 1: most of them answer that this is false, that this 519 00:34:15,680 --> 00:34:20,000 Speaker 1: is uh misinformation about vaccines. That's a true statement, that 520 00:34:20,000 --> 00:34:24,440 Speaker 1: that program does exist. He's talking about the National Vaccine 521 00:34:24,600 --> 00:34:28,440 Speaker 1: Injury Compensation Program, which we talked about in episode two. 522 00:34:29,280 --> 00:34:33,040 Speaker 1: The gist here is that we're so scared people will 523 00:34:33,080 --> 00:34:36,320 Speaker 1: get the wrong idea if we talk about any potential 524 00:34:36,360 --> 00:34:41,320 Speaker 1: downsides to vaccines, that even doctors don't know this program exists. 525 00:34:42,120 --> 00:34:44,279 Speaker 1: We have the best of intentions, but we fear that 526 00:34:44,320 --> 00:34:47,920 Speaker 1: if people learn those things, they won't do what we 527 00:34:47,960 --> 00:34:50,600 Speaker 1: want them to do, which is clearly vaccination. But the 528 00:34:50,640 --> 00:34:53,399 Speaker 1: problem is, of course, in our age, especially with all 529 00:34:53,440 --> 00:34:56,279 Speaker 1: the tools that we have, people will find things out. 530 00:34:57,040 --> 00:35:01,960 Speaker 1: For example, when people discover the vaccine Injury Compensation program, 531 00:35:02,000 --> 00:35:05,320 Speaker 1: they often wind up learning about it from anti vaccine 532 00:35:05,320 --> 00:35:09,960 Speaker 1: groups like Various Data. They take this information out of 533 00:35:10,040 --> 00:35:13,320 Speaker 1: context and cite it as evidence of all the ways 534 00:35:13,360 --> 00:35:17,040 Speaker 1: of vaccines are unsafe. The fact that these things aren't 535 00:35:17,040 --> 00:35:20,360 Speaker 1: openly talked about makes the messages those groups are selling 536 00:35:20,680 --> 00:35:26,880 Speaker 1: more believable. It has confused people and undermine their confidence 537 00:35:26,960 --> 00:35:29,480 Speaker 1: in what should be the trusted source of information, which 538 00:35:29,520 --> 00:35:34,640 Speaker 1: is the public health community. Really not talking about the 539 00:35:34,719 --> 00:35:38,680 Speaker 1: less pleasant side of vaccines more openly. It's just another 540 00:35:38,800 --> 00:35:43,800 Speaker 1: form of dismissiveness, of talking down to people. We often 541 00:35:43,800 --> 00:35:48,080 Speaker 1: treat people with vaccine concerns as anti science or uninformed. 542 00:35:48,840 --> 00:35:52,080 Speaker 1: Chris says that's wrong too. A lot of people who 543 00:35:52,120 --> 00:35:55,880 Speaker 1: are vaccine hesitant might be misinformed, but they also have 544 00:35:56,040 --> 00:35:59,240 Speaker 1: often done a lot more research into vaccines than most people. 545 00:36:00,400 --> 00:36:04,960 Speaker 1: We cannot equate anti vaccine with anti science. I mean, 546 00:36:05,440 --> 00:36:08,440 Speaker 1: if you think about it, the scientific communities approach to 547 00:36:08,520 --> 00:36:15,000 Speaker 1: vaccine hesitancy has actually been kind of unscientific. Studies of 548 00:36:15,080 --> 00:36:19,000 Speaker 1: vaccine hesitancy show that more facts aren't likely to be 549 00:36:19,080 --> 00:36:23,320 Speaker 1: the thing that persuades people to trust vaccines, and yet 550 00:36:23,400 --> 00:36:26,840 Speaker 1: that is the mainstream approach to getting people to trust vaccines. 551 00:36:27,560 --> 00:36:30,920 Speaker 1: When you go back, you will see that vaccine hesitancy 552 00:36:31,040 --> 00:36:34,279 Speaker 1: has been present ever since we've had vaccines, and you 553 00:36:34,280 --> 00:36:37,480 Speaker 1: can go back to the eight hundreds in fact and 554 00:36:37,640 --> 00:36:41,680 Speaker 1: see that back then people will worried about vaccines. What's 555 00:36:41,760 --> 00:36:45,160 Speaker 1: most interesting about this is that while vaccines have changed 556 00:36:45,200 --> 00:36:48,320 Speaker 1: since the first vaccines were developed in the eighteenth century, 557 00:36:48,640 --> 00:36:53,120 Speaker 1: the concerns really haven't. We have always been weird and 558 00:36:53,160 --> 00:36:58,360 Speaker 1: irrational about vaccines, and we probably always will be. There's 559 00:36:58,440 --> 00:37:01,839 Speaker 1: just something about them. Maybe it's that we give them 560 00:37:01,840 --> 00:37:05,440 Speaker 1: to healthy people, or that there's the genetic material of 561 00:37:05,440 --> 00:37:08,600 Speaker 1: a virus in them. Maybe there's just kind of an 562 00:37:08,640 --> 00:37:13,360 Speaker 1: ick factor. But you don't see people for going colonoscopies 563 00:37:13,719 --> 00:37:15,920 Speaker 1: because they're worried the doctor might plant a chip in 564 00:37:15,960 --> 00:37:19,640 Speaker 1: them during the procedure, which by the way, is way 565 00:37:19,680 --> 00:37:22,640 Speaker 1: more possible than somehow getting a chip into a vaccine. 566 00:37:23,719 --> 00:37:27,080 Speaker 1: There is something in human nature that large numbers of 567 00:37:27,120 --> 00:37:30,839 Speaker 1: people are going to be excessively worried about vaccines. That's 568 00:37:30,840 --> 00:37:33,960 Speaker 1: just human nature. It's always been with us, and it 569 00:37:34,000 --> 00:37:37,360 Speaker 1: will always be with us. A certain number of us 570 00:37:37,840 --> 00:37:42,799 Speaker 1: may always fear vaccines. But what has slowly started to 571 00:37:42,880 --> 00:37:46,640 Speaker 1: change over the past year is more people in positions 572 00:37:46,680 --> 00:37:50,359 Speaker 1: of influence are starting to think the way Chris does. 573 00:37:51,600 --> 00:37:55,600 Speaker 1: There is a lot of cause for optimism here in 574 00:37:55,640 --> 00:38:00,640 Speaker 1: places like West Virginia and in minority communities We've seen 575 00:38:00,719 --> 00:38:04,880 Speaker 1: evidence of strategies that seem to work, and as more 576 00:38:04,920 --> 00:38:08,719 Speaker 1: Americans get vaccinated, they influenced their friends and family and 577 00:38:08,760 --> 00:38:12,960 Speaker 1: neighbors to do the same. About half of Americans have 578 00:38:13,080 --> 00:38:17,840 Speaker 1: received at least one COVID shot. Polling suggests enthusiasm for 579 00:38:17,920 --> 00:38:22,960 Speaker 1: vaccines continues to grow as the number of vaccinated Americans 580 00:38:23,000 --> 00:38:41,279 Speaker 1: does too. Things are looking up. So boy couldn't really 581 00:38:41,320 --> 00:38:44,279 Speaker 1: in this series without also talking to the man who 582 00:38:44,320 --> 00:38:49,080 Speaker 1: has become the face of the pandemic response in the US. Obviously, 583 00:38:49,680 --> 00:38:54,960 Speaker 1: we're talking about Dr Anthony Fauci. Now, I didn't just 584 00:38:55,120 --> 00:38:57,920 Speaker 1: want to talk with him because he's the top infectious 585 00:38:57,960 --> 00:39:01,440 Speaker 1: disease expert in the country, or because the vaccines have 586 00:39:01,480 --> 00:39:05,760 Speaker 1: been referred to as the Fauciocci, a nickname. He seems 587 00:39:06,200 --> 00:39:11,600 Speaker 1: totally unimpressed by. Well, I don't know if that's an honor, 588 00:39:11,680 --> 00:39:16,480 Speaker 1: but it's sort of unusual. Anything that gets people to 589 00:39:16,880 --> 00:39:20,200 Speaker 1: get vaccinated is fine with me. If using my name 590 00:39:20,360 --> 00:39:23,440 Speaker 1: is helpful, then go ahead and use my name. As 591 00:39:23,520 --> 00:39:27,760 Speaker 1: vaccines have rolled out like many Americans, I couldn't help 592 00:39:27,840 --> 00:39:32,640 Speaker 1: but notice Faucci's tireless public speaking efforts. He's doing Q 593 00:39:32,760 --> 00:39:36,880 Speaker 1: and as with basketball superstar Steff Curry on Instagram, appearing 594 00:39:36,920 --> 00:39:40,399 Speaker 1: on the news at night talking to black churches. I'm 595 00:39:40,440 --> 00:39:43,440 Speaker 1: surprised no one has floated a conspiracy theory that Fauci 596 00:39:43,480 --> 00:39:47,360 Speaker 1: has cloned himself because it feels like he's everywhere at once. 597 00:39:48,560 --> 00:39:53,080 Speaker 1: But Fauci isn't just out there talking. He's listening. He's 598 00:39:53,080 --> 00:39:58,240 Speaker 1: addressing the concerns of specific communities. He's tapping other trusted 599 00:39:58,360 --> 00:40:02,640 Speaker 1: voices like Reverence to help get his message heard. In 600 00:40:02,680 --> 00:40:05,680 Speaker 1: other words, he's doing a lot of the things we've 601 00:40:05,680 --> 00:40:09,200 Speaker 1: talked about in this series and not something I've honestly 602 00:40:09,280 --> 00:40:13,040 Speaker 1: not seen that many public health officials do. I wanted 603 00:40:13,080 --> 00:40:16,960 Speaker 1: to get Fauci's take on doubts about vaccines and how 604 00:40:17,040 --> 00:40:20,200 Speaker 1: he thinks we should be addressing it. Well, I think 605 00:40:20,239 --> 00:40:24,560 Speaker 1: you have to first realize that the issue of vaccine 606 00:40:25,120 --> 00:40:29,359 Speaker 1: assidency is not a unidimensional or monolithic issue at all. 607 00:40:30,120 --> 00:40:34,640 Speaker 1: There are multiple different groups and subgroups who have concerned 608 00:40:34,640 --> 00:40:39,040 Speaker 1: about vaccine that really different. This is why Fauci has 609 00:40:39,080 --> 00:40:41,840 Speaker 1: been on such a diverse speaking tour the past few months. 610 00:40:42,520 --> 00:40:46,719 Speaker 1: There are some people who just fundamentally or anti vaccine. 611 00:40:46,800 --> 00:40:50,440 Speaker 1: I mean, it doesn't matter whether it's measles, whether it's 612 00:40:50,560 --> 00:40:54,879 Speaker 1: you know, polio, or if it's COVID nineteen vaccines, they're 613 00:40:54,960 --> 00:40:59,360 Speaker 1: inherently against vaccines. I want to put them aside because 614 00:40:59,440 --> 00:41:03,160 Speaker 1: I think are a minor group. Then there are those 615 00:41:03,520 --> 00:41:09,840 Speaker 1: who traditionally have problems not only with vaccines, but with 616 00:41:09,920 --> 00:41:13,360 Speaker 1: the entire issue of the federal program that has to 617 00:41:13,360 --> 00:41:19,720 Speaker 1: do with medicine. Many minority groups, particularly African Americans, understandably 618 00:41:19,880 --> 00:41:24,640 Speaker 1: feel that way because traditionally, over the years, they have 619 00:41:24,760 --> 00:41:31,120 Speaker 1: not been treated well by federally run health programs. So 620 00:41:31,280 --> 00:41:35,319 Speaker 1: the first thing I do when I confront that is 621 00:41:35,400 --> 00:41:39,879 Speaker 1: respect the fact that they have hesitancy and don't kind 622 00:41:39,880 --> 00:41:42,160 Speaker 1: of blow it off as if why are you hesitant, 623 00:41:42,160 --> 00:41:46,440 Speaker 1: and say I can understand really why you might be hesitant. 624 00:41:47,400 --> 00:41:50,920 Speaker 1: Vauci also likes to tell people about all of the 625 00:41:50,960 --> 00:41:54,400 Speaker 1: systems in place that are designed to prevent an unethical 626 00:41:54,440 --> 00:41:59,160 Speaker 1: experiment like the Tuskegee syphilis study from happening again, or 627 00:41:59,320 --> 00:42:02,600 Speaker 1: to prevent scenes from being authorized before it's clear that 628 00:42:02,640 --> 00:42:06,760 Speaker 1: they're safe. And then they need to understand the independence 629 00:42:06,760 --> 00:42:10,560 Speaker 1: and the transparency, for example, of the data and safety 630 00:42:10,600 --> 00:42:15,040 Speaker 1: monitoring boards and the advisory committees to the Food and 631 00:42:15,120 --> 00:42:18,359 Speaker 1: Drug Administration. So there's that whole group of people that 632 00:42:18,480 --> 00:42:23,280 Speaker 1: once they understand that their hesitancy, at least I've seen, 633 00:42:23,800 --> 00:42:28,160 Speaker 1: tends to diminish rather significantly. He says it's important to 634 00:42:28,239 --> 00:42:33,440 Speaker 1: counter misinformation with facts like this, but also to tap 635 00:42:33,520 --> 00:42:37,200 Speaker 1: trusted members of the community to help do it. I 636 00:42:37,239 --> 00:42:41,120 Speaker 1: was on a on a town hall meeting yesterday with 637 00:42:41,480 --> 00:42:44,520 Speaker 1: LLL cool J, you know, I mean, he is an 638 00:42:44,600 --> 00:42:51,040 Speaker 1: extraordinarily popular personality, and we had a conversation about why 639 00:42:51,080 --> 00:42:55,040 Speaker 1: it's important to get vaccinated. And then and the millions 640 00:42:55,080 --> 00:42:59,080 Speaker 1: of people who are following that, I think I accomplished 641 00:42:59,160 --> 00:43:03,400 Speaker 1: more good towards getting people vaccinated in that, you know, 642 00:43:03,880 --> 00:43:06,759 Speaker 1: forty five minutes that I spent with him, then I 643 00:43:06,800 --> 00:43:09,840 Speaker 1: could have by you know, preaching for days and days 644 00:43:09,840 --> 00:43:14,320 Speaker 1: and days. Dr Fauci says he is worried though, about 645 00:43:14,360 --> 00:43:18,359 Speaker 1: the role anti vaccine groups have continued to play. I mean, 646 00:43:18,400 --> 00:43:23,040 Speaker 1: the people who make statements that are anti vacs based 647 00:43:23,040 --> 00:43:26,840 Speaker 1: on no data, they're not responsible to anything. If they're wrong, 648 00:43:26,920 --> 00:43:30,720 Speaker 1: nobody cares. Yeah, they're very rarely right, so it doesn't 649 00:43:30,760 --> 00:43:34,960 Speaker 1: make any difference. You combat them by getting a message 650 00:43:35,000 --> 00:43:39,759 Speaker 1: out in a way that really resonates with them. You know, 651 00:43:39,920 --> 00:43:42,759 Speaker 1: I often joke around. You don't want, you know, a 652 00:43:42,800 --> 00:43:47,400 Speaker 1: white guy in a suit talking to a fundamentally African 653 00:43:47,400 --> 00:43:52,160 Speaker 1: American population who trust their own local leaders, their religious leaders, 654 00:43:52,200 --> 00:43:57,560 Speaker 1: their sports figures, their their entertainment, uh heroes and heroins. 655 00:43:58,000 --> 00:44:01,320 Speaker 1: You've got to get trusted messages to do that. Before 656 00:44:01,360 --> 00:44:04,360 Speaker 1: we hung up, I asked Dr Faucci how he's feeling 657 00:44:04,360 --> 00:44:09,040 Speaker 1: about how everything is going. You know, I'm a cautious optimist. 658 00:44:09,120 --> 00:44:18,319 Speaker 1: I'm more I'm I describe myself as a realist. I 659 00:44:18,320 --> 00:44:21,200 Speaker 1: have to say that's sort of how I'm feeling too. 660 00:44:22,040 --> 00:44:26,799 Speaker 1: There are real hurdles facing getting everyone in America vaccinated 661 00:44:26,840 --> 00:44:31,520 Speaker 1: against COVID. Anti vaccine groups are strong right now. There 662 00:44:31,600 --> 00:44:34,440 Speaker 1: is still a fair amount of people on the fence 663 00:44:34,480 --> 00:44:37,839 Speaker 1: about vaccines and a small number who don't want them 664 00:44:37,840 --> 00:44:42,120 Speaker 1: at all. Variants threatened to make gaining population wide immunity 665 00:44:42,400 --> 00:44:46,160 Speaker 1: especially challenging. We don't even know how many people will 666 00:44:46,200 --> 00:44:49,480 Speaker 1: need to get vaccinated to get there, but more people 667 00:44:49,680 --> 00:44:52,919 Speaker 1: are feeling confident about vaccines than they were a few 668 00:44:52,920 --> 00:44:56,840 Speaker 1: months ago, and people like Dr Fauci are helping to 669 00:44:57,000 --> 00:45:01,840 Speaker 1: change the conversation about this skepticism. They're working to earn 670 00:45:01,920 --> 00:45:10,560 Speaker 1: people's trust. I don't think those efforts will go to waste. 671 00:45:20,280 --> 00:45:23,800 Speaker 1: In this series, we have explored why so many people 672 00:45:24,000 --> 00:45:29,040 Speaker 1: are skeptical of COVID vaccines. We followed fringe anti vaccine 673 00:45:29,080 --> 00:45:33,920 Speaker 1: groups as they went mainstream, explored why Black Americans don't 674 00:45:34,040 --> 00:45:38,600 Speaker 1: trust the medical establishment, and how even healthcare workers can 675 00:45:38,640 --> 00:45:42,279 Speaker 1: be filled with doubt about vaccines once they come into 676 00:45:42,320 --> 00:45:47,920 Speaker 1: contact with misinformation. All of this can paint a grim picture, 677 00:45:49,040 --> 00:45:52,879 Speaker 1: but there's also another truth. More and more people are 678 00:45:52,920 --> 00:45:58,200 Speaker 1: getting vaccinated every day, and we're getting closer and closer 679 00:45:58,719 --> 00:46:02,400 Speaker 1: to something that looks a bit more like normal. With 680 00:46:02,520 --> 00:46:05,480 Speaker 1: that in mind, we wanted to end this series on 681 00:46:05,520 --> 00:46:08,880 Speaker 1: an optimistic note. We've spent a lot of time talking 682 00:46:08,920 --> 00:46:12,359 Speaker 1: to people skeptical of the vaccines. I wanted to hear 683 00:46:12,400 --> 00:46:20,879 Speaker 1: from people who put their faith in the shots. So 684 00:46:21,000 --> 00:46:26,480 Speaker 1: I have um just parked my car here at here 685 00:46:26,560 --> 00:46:31,600 Speaker 1: four at the Brooklyn Army Terminal, and uh, let's go 686 00:46:32,320 --> 00:46:40,120 Speaker 1: talk to people who are getting vaccinated Windy. The terminal 687 00:46:40,520 --> 00:46:44,200 Speaker 1: is a mass vaccination site in New York City. It's 688 00:46:44,400 --> 00:46:48,360 Speaker 1: in a more industrial part of Brooklyn. I'm standing just 689 00:46:48,600 --> 00:46:52,640 Speaker 1: outside the entrance, a site worker directs people through amainze 690 00:46:52,719 --> 00:46:57,160 Speaker 1: of checkpoints to get vaccinated. But it's also probably the 691 00:46:57,239 --> 00:47:00,880 Speaker 1: vaccination site with the prettiest view. There is this great 692 00:47:01,239 --> 00:47:05,520 Speaker 1: view of the New York City skyline and the Statue 693 00:47:05,520 --> 00:47:10,440 Speaker 1: of Liberty. This is a twenty four hour vaccination site. 694 00:47:11,120 --> 00:47:15,319 Speaker 1: People stream in and out all day long, and I 695 00:47:15,360 --> 00:47:18,080 Speaker 1: wanted to hear from them about why they decided to 696 00:47:18,080 --> 00:47:21,359 Speaker 1: get the shot and what they're most looking forward to 697 00:47:21,400 --> 00:47:25,239 Speaker 1: after getting it. I got my first tost I feel good. Yeah, 698 00:47:25,239 --> 00:47:27,440 Speaker 1: I feel fine. So far, so good. I got my 699 00:47:27,520 --> 00:47:30,879 Speaker 1: second vaccination today. I feel great. I'm trying to catch 700 00:47:31,000 --> 00:47:32,960 Speaker 1: up with my wife. She already has both, so I'm 701 00:47:33,000 --> 00:47:36,120 Speaker 1: halfway there. We got vaccinated because we want to, you know, 702 00:47:36,239 --> 00:47:40,040 Speaker 1: get back to normal. I just think it's important to 703 00:47:40,040 --> 00:47:44,040 Speaker 1: have it so that everyone's healthy. I had no apprehension 704 00:47:44,280 --> 00:47:46,879 Speaker 1: because I do not want to get the COVID and 705 00:47:47,000 --> 00:47:48,560 Speaker 1: I want to see the city up and back up. 706 00:47:48,600 --> 00:47:50,919 Speaker 1: It's like our ticket out of the pandemic. I want 707 00:47:50,960 --> 00:47:55,440 Speaker 1: to see my coworkers in the office, and also just 708 00:47:55,520 --> 00:47:58,719 Speaker 1: being able to go to restaurants and bars and be 709 00:47:58,800 --> 00:48:00,760 Speaker 1: able to like mingle a little bit it and actually 710 00:48:01,360 --> 00:48:04,239 Speaker 1: we have physical contact with people. I'm waiting to go 711 00:48:04,280 --> 00:48:06,120 Speaker 1: to my first Major League Baseball game. I went to 712 00:48:06,120 --> 00:48:10,040 Speaker 1: a game every year from seventy seven through I want 713 00:48:10,040 --> 00:48:15,120 Speaker 1: to feel free, like I'm not the effort. It's going 714 00:48:15,160 --> 00:48:20,600 Speaker 1: to happen this summer. I got vaccinated to in early April. 715 00:48:22,719 --> 00:48:25,440 Speaker 1: I am really looking forward to getting on a plane 716 00:48:25,480 --> 00:48:29,200 Speaker 1: back home to l A to see my grandma. I 717 00:48:29,239 --> 00:48:33,040 Speaker 1: haven't seen her since February of She just turned ninety 718 00:48:33,040 --> 00:48:36,440 Speaker 1: one in March, and I miss her a lot. But 719 00:48:36,520 --> 00:48:39,240 Speaker 1: more than anything, I can tell you, without a doubt, 720 00:48:40,200 --> 00:49:08,960 Speaker 1: I'm looking forward to life after COVID nineteen. Doubt is 721 00:49:09,000 --> 00:49:13,120 Speaker 1: written and reported by me Kristin V. Brown. So for 722 00:49:13,120 --> 00:49:17,600 Speaker 1: Foreheads is our senior producer. Molly Nugent is our associate producer. 723 00:49:18,320 --> 00:49:23,320 Speaker 1: Our theme was composed and performed by Hannis Brown. Special 724 00:49:23,320 --> 00:49:27,920 Speaker 1: thanks to Randy Shapiro, Loura Carlson, and Bloomberg editors Rick 725 00:49:28,000 --> 00:49:32,080 Speaker 1: Shine and tim Annette. Francesca Leevie is the head of 726 00:49:32,120 --> 00:49:35,920 Speaker 1: Bloomberg Podcast. Be sure to subscribe to Prognosis if you 727 00:49:35,960 --> 00:49:38,960 Speaker 1: haven't already, and if you like our show, please leave 728 00:49:39,040 --> 00:49:42,000 Speaker 1: us a review helps others find out about the show. 729 00:49:42,880 --> 00:49:43,680 Speaker 1: Thanks for listening,