1 00:00:00,000 --> 00:00:03,920 All right, so we're diving into Hurricane Helene's impact 2 00:00:03,920 --> 00:00:07,920 on Irwin, Tennessee, and we've got photos, videos, 3 00:00:07,920 --> 00:00:12,120 first-hand accounts, official reports, really intense stuff. 4 00:00:12,120 --> 00:00:14,520 Yeah, it's powerful material. 5 00:00:14,520 --> 00:00:16,920 Exactly, and it all centers around two locations 6 00:00:16,920 --> 00:00:18,520 that were just a mile apart. 7 00:00:18,520 --> 00:00:22,520 Impact Plastics, a factory where six workers lost their lives, 8 00:00:22,520 --> 00:00:24,640 and then Unicoi County Hospital, 9 00:00:24,640 --> 00:00:26,680 where 70 people were rescued from the root. 10 00:00:26,680 --> 00:00:29,040 I mean, just imagine floodwaters raging around you. 11 00:00:29,040 --> 00:00:29,960 It's terrifying. 12 00:00:29,960 --> 00:00:33,280 It is, and it really highlights how, 13 00:00:33,280 --> 00:00:36,600 even in a natural disaster, human decisions, 14 00:00:36,600 --> 00:00:38,920 those split-second calls can be the difference 15 00:00:38,920 --> 00:00:39,920 between life and death. 16 00:00:39,920 --> 00:00:40,760 Absolutely. 17 00:00:40,760 --> 00:00:42,480 And this situation, you know, it has these echoes 18 00:00:42,480 --> 00:00:45,120 of other tragedies we've seen, the Amazon warehouse, 19 00:00:45,120 --> 00:00:46,600 the Kentucky candle factory. 20 00:00:46,600 --> 00:00:48,640 It makes you wonder, are there common threads here 21 00:00:48,640 --> 00:00:50,080 that we need to be paying attention to? 22 00:00:50,080 --> 00:00:51,920 Yeah, are there things we can learn from these events 23 00:00:51,920 --> 00:00:53,440 to prevent future tragedies? 24 00:00:53,440 --> 00:00:55,400 Wait, well, let's start with Unicoi County Hospital. 25 00:00:55,400 --> 00:00:57,560 We have these incredible accounts of patients and staff 26 00:00:57,560 --> 00:00:58,840 trapped inside. 27 00:00:58,840 --> 00:01:00,920 As the floodwaters just breached the building. 28 00:01:00,920 --> 00:01:04,720 Yeah, the sources paint this picture of controlled chaos. 29 00:01:04,720 --> 00:01:06,240 You've got vulnerable patients, 30 00:01:06,240 --> 00:01:08,040 dedicated medical professionals, 31 00:01:08,040 --> 00:01:10,440 and suddenly they're facing a raging river 32 00:01:10,440 --> 00:01:11,480 inside the hospital. 33 00:01:11,480 --> 00:01:13,840 Unimaginable, and they had to make a quick decision 34 00:01:13,840 --> 00:01:15,960 to evacuate onto the roof, 35 00:01:15,960 --> 00:01:17,680 using a fire truck ladder no less. 36 00:01:17,680 --> 00:01:20,400 Right, and the sources say staff were carrying patients 37 00:01:20,400 --> 00:01:22,400 on their shoulders up that ladder, 38 00:01:22,400 --> 00:01:24,200 even singing to keep them calm. 39 00:01:24,200 --> 00:01:26,400 Wow, talk about going above and beyond. 40 00:01:26,400 --> 00:01:27,560 It really is remarkable, 41 00:01:27,560 --> 00:01:29,400 and the timing was crucial. 42 00:01:29,400 --> 00:01:31,960 That swift decision to evacuate was likely 43 00:01:31,960 --> 00:01:34,240 a major factor in everyone surviving. 44 00:01:34,240 --> 00:01:35,600 All 70 people on that roof, 45 00:01:35,600 --> 00:01:37,360 including the first responders, 46 00:01:37,360 --> 00:01:38,800 they were all airlifted to safety. 47 00:01:38,800 --> 00:01:40,880 It's an incredible feat, 48 00:01:40,880 --> 00:01:42,640 but the mood shifts so drastically 49 00:01:42,640 --> 00:01:45,040 when we turn to the Impact Plastics Factory. 50 00:01:45,040 --> 00:01:46,880 Six workers, most of them Latino, 51 00:01:46,880 --> 00:01:48,320 they died in that flood. 52 00:01:48,320 --> 00:01:49,280 It's heartbreaking. 53 00:01:49,280 --> 00:01:52,240 It is, and what makes it even more troubling 54 00:01:52,240 --> 00:01:54,840 is that this wasn't their first experience with flooding. 55 00:01:54,840 --> 00:01:56,880 Right, the factory parking lot was known to flood. 56 00:01:56,880 --> 00:01:59,760 Exactly, but here's where things get a little complicated. 57 00:01:59,760 --> 00:02:02,080 That area wasn't designated as high risk 58 00:02:02,080 --> 00:02:03,680 on FEMA's flood maps. 59 00:02:03,680 --> 00:02:05,440 So maybe there was a sense of, 60 00:02:05,440 --> 00:02:08,600 we've been through this before, it won't be that bad. 61 00:02:08,600 --> 00:02:11,000 Yeah, a false sense of security, perhaps. 62 00:02:11,000 --> 00:02:12,960 But Hurricane Helene was different. 63 00:02:12,960 --> 00:02:14,520 We have the National Weather Service 64 00:02:14,520 --> 00:02:16,760 issuing flash flood warnings, 65 00:02:16,760 --> 00:02:19,360 but it seems some workers were still inside the factory. 66 00:02:19,360 --> 00:02:20,960 And some accounts even suggest 67 00:02:20,960 --> 00:02:22,920 they were encouraged to keep working. 68 00:02:22,920 --> 00:02:24,120 Yeah, there were workers claiming 69 00:02:24,120 --> 00:02:26,520 they felt pressure from management to stay put, 70 00:02:26,520 --> 00:02:28,240 even as the situation was getting worse. 71 00:02:28,240 --> 00:02:29,760 Now the company denies this. 72 00:02:29,760 --> 00:02:31,240 They say workers were dismissed 73 00:02:31,240 --> 00:02:33,440 well before the flood peaked. 74 00:02:33,440 --> 00:02:36,120 There are these discrepancies between those statements 75 00:02:36,120 --> 00:02:39,000 and the timeline from the 911 calls 76 00:02:39,000 --> 00:02:40,440 and the videos that surfaced. 77 00:02:40,440 --> 00:02:42,840 Right, those first-hand accounts are hard to ignore. 78 00:02:42,840 --> 00:02:44,880 They're difficult to watch, 79 00:02:44,880 --> 00:02:47,520 but they're crucial to understanding what happened. 80 00:02:47,520 --> 00:02:49,240 You see the water rising so fast 81 00:02:49,240 --> 00:02:50,760 trapping people in the parking lot. 82 00:02:50,760 --> 00:02:54,360 You hear the panic in their voices as they call 911. 83 00:02:54,360 --> 00:02:57,520 Some even claiming delays in the response times. 84 00:02:57,520 --> 00:03:00,400 And then there are the final messages sent to loved ones, 85 00:03:00,400 --> 00:03:01,680 knowing they were in danger. 86 00:03:01,680 --> 00:03:02,720 It's just devastating. 87 00:03:02,720 --> 00:03:05,040 Those accounts paint a very different picture 88 00:03:05,040 --> 00:03:06,760 than the company's statements. 89 00:03:06,760 --> 00:03:08,800 And they raise serious questions. 90 00:03:08,800 --> 00:03:11,080 Were safety protocols followed? 91 00:03:11,080 --> 00:03:13,280 Did those workers feel like they could leave 92 00:03:13,280 --> 00:03:14,680 when they sensed danger? 93 00:03:14,680 --> 00:03:16,400 And it brings us back to those other tragedies. 94 00:03:16,400 --> 00:03:19,280 The Amazon Warehouse Kentucky Candle Factory. 95 00:03:19,280 --> 00:03:21,560 Are there systemic factors at play 96 00:03:21,560 --> 00:03:24,440 that contributed to these workers feeling trapped? 97 00:03:24,440 --> 00:03:26,160 That's what we need to dig into. 98 00:03:26,160 --> 00:03:28,120 We know that a neighboring business owner 99 00:03:28,120 --> 00:03:30,640 was able to rescue some workers with a tractor, 100 00:03:31,640 --> 00:03:35,160 but tragically for others, the current was just too strong. 101 00:03:35,160 --> 00:03:37,320 Their stories really highlight the human cost 102 00:03:37,320 --> 00:03:38,520 of these disasters. 103 00:03:38,520 --> 00:03:40,560 And I think as we delve deeper, 104 00:03:40,560 --> 00:03:42,680 we need to go beyond just what happened 105 00:03:42,680 --> 00:03:44,320 and start asking why, 106 00:03:44,320 --> 00:03:46,280 what decisions were made or not made 107 00:03:46,280 --> 00:03:48,480 that contributed to these very different outcomes. 108 00:03:48,480 --> 00:03:50,720 Yeah, let's unpack then the next part of our deep dive. 109 00:03:50,720 --> 00:03:53,240 Okay, so we've got these two contrasting scenarios, right? 110 00:03:53,240 --> 00:03:56,040 Survival at the hospital and tragedy at the factory. 111 00:03:56,040 --> 00:03:58,640 But to really understand what went wrong, 112 00:03:58,640 --> 00:04:01,440 we need to look beyond just the storm itself, don't we? 113 00:04:01,440 --> 00:04:02,800 Absolutely. 114 00:04:02,800 --> 00:04:05,000 We need to consider the bigger picture 115 00:04:05,000 --> 00:04:06,960 and look at all the decisions that were made 116 00:04:06,960 --> 00:04:10,840 both big and small that led up to those outcomes. 117 00:04:10,840 --> 00:04:11,800 Like a chain of decisions. 118 00:04:11,800 --> 00:04:14,560 Exactly, some decisions are made years in advance. 119 00:04:14,560 --> 00:04:17,160 Like how we assess flood risk 120 00:04:17,160 --> 00:04:20,080 while others happen in the heat of the moment. 121 00:04:20,080 --> 00:04:22,800 Right, so let's start with those FEMA flood maps. 122 00:04:22,800 --> 00:04:24,680 The Washington Post investigation found 123 00:04:24,680 --> 00:04:28,200 that they underestimated the danger in that specific area. 124 00:04:28,200 --> 00:04:29,960 And they hadn't been updated since 2008. 125 00:04:29,960 --> 00:04:32,920 I mean, could that have created a false sense of security 126 00:04:32,920 --> 00:04:34,200 for the factory management? 127 00:04:34,200 --> 00:04:35,720 It's certainly possible. 128 00:04:35,720 --> 00:04:37,280 The article highlights that these maps 129 00:04:37,280 --> 00:04:39,360 are based on historical data, 130 00:04:39,360 --> 00:04:41,520 which might not reflect the increased rainfall 131 00:04:41,520 --> 00:04:44,040 and flooding we're seeing because of climate change. 132 00:04:44,040 --> 00:04:48,040 So even if impact plastics had followed those maps perfectly, 133 00:04:48,040 --> 00:04:50,160 they might have still been operating under a flawed 134 00:04:50,160 --> 00:04:52,480 understanding of the actual risk. 135 00:04:52,480 --> 00:04:55,000 That's a chilling thought relying on outdated information 136 00:04:55,000 --> 00:04:56,280 when lives are at stake. 137 00:04:56,280 --> 00:04:58,760 And it makes you wonder, was there any local knowledge 138 00:04:58,760 --> 00:05:00,760 that contradicted those maps? 139 00:05:00,760 --> 00:05:03,480 Were county officials aware of those limitations? 140 00:05:03,480 --> 00:05:06,160 That's a key question the investigation raises. 141 00:05:06,160 --> 00:05:07,760 It seems local officials did know 142 00:05:07,760 --> 00:05:10,400 that certain areas were prone to flooding, 143 00:05:10,400 --> 00:05:12,960 including parts of that industrial zone. 144 00:05:12,960 --> 00:05:14,840 Even if those risks weren't fully captured 145 00:05:14,840 --> 00:05:16,080 on the FEMA maps. 146 00:05:16,080 --> 00:05:17,840 So you're saying there might have been a gap 147 00:05:17,840 --> 00:05:21,640 in communication between local officials and those businesses? 148 00:05:21,640 --> 00:05:22,280 Possibly. 149 00:05:22,280 --> 00:05:23,680 And that raises another question. 150 00:05:23,680 --> 00:05:26,560 Was that local knowledge adequately communicated 151 00:05:26,560 --> 00:05:28,240 to businesses in the area? 152 00:05:28,240 --> 00:05:31,040 OK, so we've got potentially outdated maps 153 00:05:31,040 --> 00:05:35,080 and maybe a gap in communication. 154 00:05:35,080 --> 00:05:38,240 Are we starting to see those systemic cracks emerge here? 155 00:05:38,240 --> 00:05:39,680 But what about the workers themselves? 156 00:05:39,680 --> 00:05:41,960 Did they have any say in whether they stayed or left? 157 00:05:41,960 --> 00:05:42,520 Right. 158 00:05:42,520 --> 00:05:44,440 That's where the discussion about worker empowerment 159 00:05:44,440 --> 00:05:45,160 comes in. 160 00:05:45,160 --> 00:05:47,680 Several sources, including the Guardian article, 161 00:05:47,680 --> 00:05:50,480 draw parallels to the Amazon warehouse and Kentucky candle 162 00:05:50,480 --> 00:05:54,200 factory incidents and argue that stronger worker protections, 163 00:05:54,200 --> 00:05:55,800 potentially through unionization, 164 00:05:55,800 --> 00:05:57,040 could have made a difference. 165 00:05:57,040 --> 00:05:58,880 OK, I'm curious about that connection. 166 00:05:58,880 --> 00:06:01,760 Are you suggesting that if those impact plastics workers had 167 00:06:01,760 --> 00:06:04,960 been unionized, they would have just walked out the door, 168 00:06:04,960 --> 00:06:06,800 even with floodwaters rising? 169 00:06:06,800 --> 00:06:10,120 Not necessarily a mass walkout, but more 170 00:06:10,120 --> 00:06:13,280 about creating a culture where workers feel safe voicing 171 00:06:13,280 --> 00:06:16,360 concerns and advocating for their own safety 172 00:06:16,360 --> 00:06:17,640 without fear of reprisal. 173 00:06:17,640 --> 00:06:18,320 I see. 174 00:06:18,320 --> 00:06:20,280 The Guardian article argues that unions often 175 00:06:20,280 --> 00:06:23,480 play a role in negotiating clear safety protocols 176 00:06:23,480 --> 00:06:26,880 and making sure workers know their rights during emergencies. 177 00:06:26,880 --> 00:06:28,320 So in a unionized environment, there 178 00:06:28,320 --> 00:06:31,080 might have been more open dialogue between workers 179 00:06:31,080 --> 00:06:34,080 in management about the dangers and potentially more 180 00:06:34,080 --> 00:06:35,720 decisive action taken earlier. 181 00:06:35,720 --> 00:06:36,440 Exactly. 182 00:06:36,440 --> 00:06:38,200 And it's worth noting that the article also 183 00:06:38,200 --> 00:06:41,200 highlights the potential impact of right to work laws, which 184 00:06:41,200 --> 00:06:42,920 can weaken union membership. 185 00:06:42,920 --> 00:06:44,920 And some argue, make it harder for workers 186 00:06:44,920 --> 00:06:46,720 to bargain for better safety measures. 187 00:06:46,720 --> 00:06:49,400 So it's not just about the decisions made during the storm. 188 00:06:49,400 --> 00:06:52,800 It's about the broader context, the legal and economic factors 189 00:06:52,800 --> 00:06:55,760 that shape these relationships and influence safety culture. 190 00:06:55,760 --> 00:06:57,000 Precisely. 191 00:06:57,000 --> 00:06:59,840 And it underscores the need to look at these tragedies, 192 00:06:59,840 --> 00:07:05,000 not as isolated incidents, but as part of a larger pattern. 193 00:07:05,000 --> 00:07:07,800 The Amazon warehouse, the Kentucky candle factory, 194 00:07:07,800 --> 00:07:09,800 now impact plastics. 195 00:07:09,800 --> 00:07:12,800 These cases raised some difficult questions 196 00:07:12,800 --> 00:07:15,000 about whether existing regulations and worker 197 00:07:15,000 --> 00:07:17,840 protections are really enough, especially 198 00:07:17,840 --> 00:07:20,600 with these increasingly frequent and severe weather events. 199 00:07:20,600 --> 00:07:21,800 I'm not to think about. 200 00:07:21,800 --> 00:07:24,880 And we've been focusing on the systemic factors. 201 00:07:24,880 --> 00:07:27,040 But I think it's important to acknowledge the individual acts 202 00:07:27,040 --> 00:07:28,880 of courage and compassion, too. 203 00:07:28,880 --> 00:07:31,680 We have those accounts of workers helping each other, 204 00:07:31,680 --> 00:07:34,360 trying to get to Sacey, and that local business owner who 205 00:07:34,360 --> 00:07:36,800 used his tractor to rescue people from the flood. 206 00:07:36,800 --> 00:07:38,000 Absolutely. 207 00:07:38,000 --> 00:07:41,040 Those acts of heroism are incredibly inspiring. 208 00:07:41,040 --> 00:07:43,120 They remind us that even in the midst of tragedy, 209 00:07:43,120 --> 00:07:44,920 the human spirit shines through. 210 00:07:44,920 --> 00:07:45,520 Yes. 211 00:07:45,520 --> 00:07:47,360 But at the same time, individual courage 212 00:07:47,360 --> 00:07:50,320 shouldn't be a substitute for robust safety measures 213 00:07:50,320 --> 00:07:53,360 and a system that prioritizes worker well-being. 214 00:07:53,360 --> 00:07:54,560 That's a good point. 215 00:07:54,560 --> 00:07:56,200 So we've covered a lot of ground here, 216 00:07:56,200 --> 00:07:58,800 but it feels like we're just scratching the surface. 217 00:07:58,800 --> 00:08:01,960 What should we be thinking about as we head into the final part 218 00:08:01,960 --> 00:08:02,920 of our deep dive? 219 00:08:02,920 --> 00:08:05,160 Well, I think the key is bridging the gap 220 00:08:05,160 --> 00:08:07,520 between understanding what happened 221 00:08:07,520 --> 00:08:09,800 and taking meaningful action. 222 00:08:09,800 --> 00:08:12,800 How can communities learn from tragedies like this? 223 00:08:12,800 --> 00:08:15,760 How can we make sure that the lessons aren't forgotten 224 00:08:15,760 --> 00:08:18,480 and are actually translated into concrete steps 225 00:08:18,480 --> 00:08:20,560 to protect workers and communities 226 00:08:20,560 --> 00:08:22,320 in the face of future disasters? 227 00:08:22,320 --> 00:08:24,080 We've really dissected what happened in Irwin, 228 00:08:24,080 --> 00:08:27,040 haven't we, looking at the decisions and the indecisions 229 00:08:27,040 --> 00:08:29,400 that led to those drastically different outcomes. 230 00:08:29,400 --> 00:08:31,320 And we've talked about those parallels to the Amazon 231 00:08:31,320 --> 00:08:34,120 warehouse and the Kentucky candle factory. 232 00:08:34,120 --> 00:08:35,760 It feels like there's this disconnect 233 00:08:35,760 --> 00:08:39,000 between knowing the risk and actually doing something 234 00:08:39,000 --> 00:08:39,440 about it. 235 00:08:39,440 --> 00:08:40,840 Yeah, and it's a complex issue. 236 00:08:40,840 --> 00:08:43,000 But one key takeaway for me is that we 237 00:08:43,000 --> 00:08:45,560 need to move beyond just reacting to disasters. 238 00:08:45,560 --> 00:08:47,840 We need to be more proactive about preparedness. 239 00:08:47,840 --> 00:08:49,760 OK, so what would that look like in practice? 240 00:08:49,760 --> 00:08:52,440 What can communities actually do to avoid repeating 241 00:08:52,440 --> 00:08:53,440 these mistakes? 242 00:08:53,440 --> 00:08:55,600 Well, I think it starts with recognizing 243 00:08:55,600 --> 00:08:58,520 that the way we've assessed risk in the past 244 00:08:58,520 --> 00:09:00,400 might not be enough anymore. 245 00:09:00,400 --> 00:09:03,440 With climate change and these increasingly frequent extreme 246 00:09:03,440 --> 00:09:06,480 weather events, like those FEMA maps, for example, 247 00:09:06,480 --> 00:09:08,640 they need to be updated more often to reflect 248 00:09:08,640 --> 00:09:09,920 those changing realities. 249 00:09:09,920 --> 00:09:12,200 Right, so it's about adapting to a new normal. 250 00:09:12,200 --> 00:09:12,920 Yeah. 251 00:09:12,920 --> 00:09:15,320 Acknowledging that what worked before might not 252 00:09:15,320 --> 00:09:16,760 cut it anymore. 253 00:09:16,760 --> 00:09:18,720 But how do we get everyone on board with that? 254 00:09:18,720 --> 00:09:22,120 There's often so much resistance to change, 255 00:09:22,120 --> 00:09:24,720 especially when it comes to things like stricter safety 256 00:09:24,720 --> 00:09:28,200 regulations or potentially impacting business operations. 257 00:09:28,200 --> 00:09:30,160 And that's where communication and collaboration 258 00:09:30,160 --> 00:09:31,560 are so important. 259 00:09:31,560 --> 00:09:34,120 Local officials need to be proactive about sharing 260 00:09:34,120 --> 00:09:36,120 information about those potential risks, 261 00:09:36,120 --> 00:09:38,040 not just relying on outdated maps 262 00:09:38,040 --> 00:09:40,440 or assuming that businesses know the dangers. 263 00:09:40,440 --> 00:09:42,600 And businesses need to be open to that information, 264 00:09:42,600 --> 00:09:45,360 willing to adjust their practices and put worker safety 265 00:09:45,360 --> 00:09:48,040 first, even if it means temporary disruption 266 00:09:48,040 --> 00:09:49,160 or some added costs. 267 00:09:49,160 --> 00:09:51,200 It's about finding that balance, isn't it, 268 00:09:51,200 --> 00:09:53,960 between keeping things running and keeping people safe, 269 00:09:53,960 --> 00:09:57,200 recognizing that you can't really have one without the other. 270 00:09:57,200 --> 00:10:00,720 But it's not just about top-down decisions. 271 00:10:00,720 --> 00:10:02,320 What about individuals, especially 272 00:10:02,320 --> 00:10:04,560 those in high-risk jobs? 273 00:10:04,560 --> 00:10:06,760 How can they advocate for their own safety? 274 00:10:06,760 --> 00:10:08,600 Well, knowledge is power, right. 275 00:10:08,600 --> 00:10:10,680 Workers need to know their rights, 276 00:10:10,680 --> 00:10:12,680 understand the risks of their jobs, 277 00:10:12,680 --> 00:10:14,800 and feel like they can speak up when they see a threat 278 00:10:14,800 --> 00:10:16,120 to their safety. 279 00:10:16,120 --> 00:10:19,520 That might mean taking part in safety training programs, 280 00:10:19,520 --> 00:10:22,280 joining a union, or just having those open conversations 281 00:10:22,280 --> 00:10:24,000 with their employers about their concerns. 282 00:10:24,000 --> 00:10:25,640 So it's about shifting the mindset, 283 00:10:25,640 --> 00:10:28,960 from hoping for the best to actually preparing for the worst, 284 00:10:28,960 --> 00:10:32,280 and recognizing that everyone has a role to play in safety. 285 00:10:32,280 --> 00:10:33,960 You know, as we wrap up this deep dive, 286 00:10:33,960 --> 00:10:36,680 I keep thinking about those stories from Irwin. 287 00:10:36,680 --> 00:10:38,640 The heroism of those hospital workers, 288 00:10:38,640 --> 00:10:42,200 the desperation in those 911 calls from the factory. 289 00:10:42,200 --> 00:10:44,760 These stories, they need to be more than just a moment of grief. 290 00:10:44,760 --> 00:10:46,640 They need to push us to make real changes. 291 00:10:46,640 --> 00:10:48,240 I completely agree. 292 00:10:48,240 --> 00:10:51,720 We can't let these tragedies become just another statistic. 293 00:10:51,720 --> 00:10:54,840 We have to remember the human costs of these events, 294 00:10:54,840 --> 00:10:57,600 and use that memory to fuel our commitment 295 00:10:57,600 --> 00:11:01,360 to building a better future, a future where worker safety isn't 296 00:11:01,360 --> 00:11:05,240 an afterthought, but a core value in every decision we make. 297 00:11:05,240 --> 00:11:07,880 Well said. This deep dive has been tough at times, 298 00:11:07,880 --> 00:11:09,400 but really eye-opening. 299 00:11:09,400 --> 00:11:10,800 And for everyone listening out there, 300 00:11:10,800 --> 00:11:12,800 we hope this has given you something to think about. 301 00:11:12,800 --> 00:11:14,360 What will you do with this knowledge? 302 00:11:14,360 --> 00:11:17,680 How will you help create a safer and more prepared community? 303 00:11:17,680 --> 00:11:36,440 We'll leave you with that question at the top.