1 00:00:00,000 --> 00:00:02,640 I remember that crazy ice storm we had last month, 2 00:00:02,640 --> 00:00:03,880 the one that shut down the whole city. 3 00:00:03,880 --> 00:00:04,800 Oh yeah. 4 00:00:04,800 --> 00:00:07,680 I was stuck at home for days. 5 00:00:07,680 --> 00:00:10,000 Just glued to the weather updates, 6 00:00:10,000 --> 00:00:11,600 waiting for things to thaw out. 7 00:00:11,600 --> 00:00:12,440 Right. 8 00:00:12,440 --> 00:00:13,320 And it really hit me then. 9 00:00:13,320 --> 00:00:14,160 Yeah. 10 00:00:14,160 --> 00:00:16,600 Just how much we all rely on Noah. 11 00:00:16,600 --> 00:00:19,760 You mean the National Oceanic Atmosphere Administration? 12 00:00:19,760 --> 00:00:20,600 Yeah. 13 00:00:20,600 --> 00:00:21,800 For basically everything. 14 00:00:21,800 --> 00:00:22,760 It's true though. 15 00:00:22,760 --> 00:00:25,040 We do kind of take Noah for granted, I think. 16 00:00:25,040 --> 00:00:27,920 They're the ones behind the scenes, 17 00:00:27,920 --> 00:00:30,520 making sure we get those accurate forecasts 18 00:00:30,520 --> 00:00:33,240 and the severe weather warnings. 19 00:00:33,240 --> 00:00:36,320 And even the data that helps us figure out 20 00:00:36,320 --> 00:00:38,360 those long-term climate trends. 21 00:00:38,360 --> 00:00:39,360 Exactly. 22 00:00:39,360 --> 00:00:41,400 So, okay, we rely on them a lot. 23 00:00:41,400 --> 00:00:42,240 We do. 24 00:00:42,240 --> 00:00:43,080 But here's the thing. 25 00:00:43,080 --> 00:00:43,920 What's that? 26 00:00:43,920 --> 00:00:48,120 Noah's facing some serious challenges. 27 00:00:48,120 --> 00:00:48,960 Oh. 28 00:00:48,960 --> 00:00:51,080 Challenges that could directly impact the accuracy. 29 00:00:51,080 --> 00:00:51,920 Oh wow. 30 00:00:51,920 --> 00:00:53,840 And the speed of the information we get. 31 00:00:53,840 --> 00:00:55,840 And we're talking about layoffs. 32 00:00:55,840 --> 00:00:56,680 Layoffs. 33 00:00:56,680 --> 00:00:57,520 Layoffs. 34 00:00:57,520 --> 00:00:59,480 There's just a few positions here and there. 35 00:00:59,480 --> 00:01:00,320 Wow. 36 00:01:00,320 --> 00:01:01,760 Like big time layoffs. 37 00:01:01,760 --> 00:01:03,920 Okay, so how many people are we talking about here? 38 00:01:03,920 --> 00:01:05,280 Well, over 800. 39 00:01:05,280 --> 00:01:06,120 800. 40 00:01:06,120 --> 00:01:07,920 Employees are being let go. 41 00:01:07,920 --> 00:01:11,120 And that's out of a workforce of roughly 13,000. 42 00:01:11,120 --> 00:01:12,520 Wow. 43 00:01:12,520 --> 00:01:13,360 That's a lot. 44 00:01:13,360 --> 00:01:16,640 So that's like losing, what, an entire graduating class 45 00:01:16,640 --> 00:01:19,960 of meteorologists and scientists. 46 00:01:19,960 --> 00:01:21,560 Like all that expertise just gone. 47 00:01:21,560 --> 00:01:22,400 Yeah. 48 00:01:22,400 --> 00:01:24,640 And it's not just happening at Noah headquarters either. 49 00:01:24,640 --> 00:01:26,600 It's across the board. 50 00:01:26,600 --> 00:01:29,880 Impacting the national weather service, research labs. 51 00:01:29,880 --> 00:01:30,720 Yeah. 52 00:01:30,720 --> 00:01:33,920 The satellite division, even the office of space commerce. 53 00:01:33,920 --> 00:01:35,480 Wow, 800 people. 54 00:01:35,480 --> 00:01:36,320 I know. 55 00:01:36,320 --> 00:01:37,160 That's huge. 56 00:01:37,160 --> 00:01:40,680 And you mentioned something earlier about probationary 57 00:01:40,680 --> 00:01:43,040 employees being particularly affected. 58 00:01:43,040 --> 00:01:43,880 Yes. 59 00:01:43,880 --> 00:01:45,800 A large portion of those being laid off 60 00:01:45,800 --> 00:01:47,920 are those probationary employees. 61 00:01:47,920 --> 00:01:50,200 Which means they have less than two years of service. 62 00:01:50,200 --> 00:01:51,760 So they're like the new folks. 63 00:01:51,760 --> 00:01:52,720 Yeah. 64 00:01:52,720 --> 00:01:54,760 We're losing a lot of that newer talent. 65 00:01:54,760 --> 00:01:58,000 The folks who are just getting started and bringing 66 00:01:58,000 --> 00:02:00,200 fresh perspectives to the agency. 67 00:02:00,200 --> 00:02:03,560 What's ironic is that this is happening at the same time 68 00:02:03,560 --> 00:02:07,160 as a government buyout program. 69 00:02:07,160 --> 00:02:10,040 That's encouraging older, more experienced employees 70 00:02:10,040 --> 00:02:11,320 to retire early. 71 00:02:11,320 --> 00:02:12,600 So it's like a double whammy. 72 00:02:12,600 --> 00:02:15,720 It is a double whammy for Noah. 73 00:02:15,720 --> 00:02:16,240 Why? 74 00:02:16,240 --> 00:02:18,400 Losing both ends of the experience spectrum. 75 00:02:18,400 --> 00:02:20,760 So we have these massive layoffs happening. 76 00:02:20,760 --> 00:02:21,520 We do. 77 00:02:21,520 --> 00:02:22,560 But why? 78 00:02:22,560 --> 00:02:22,880 Well. 79 00:02:22,880 --> 00:02:24,880 What's the driving force behind it all? 80 00:02:24,880 --> 00:02:27,520 A big part of it seems to be the Department of Government 81 00:02:27,520 --> 00:02:32,480 Efficiency, which is headed by Elon Musk. 82 00:02:32,480 --> 00:02:36,840 Their goal is to basically shrink the federal government. 83 00:02:36,840 --> 00:02:40,960 And Noah has been told to brace for potential budget cuts. 84 00:02:40,960 --> 00:02:42,040 Budget cuts. 85 00:02:42,040 --> 00:02:43,160 Up to how much? 86 00:02:43,160 --> 00:02:44,320 Up to 1 third. 87 00:02:44,320 --> 00:02:45,400 A third of their budget. 88 00:02:45,400 --> 00:02:46,400 A third. 89 00:02:46,400 --> 00:02:47,640 That's insane. 90 00:02:47,640 --> 00:02:48,400 I know. 91 00:02:48,400 --> 00:02:52,520 What would that even mean for Noah's ability to function? 92 00:02:52,520 --> 00:02:53,600 To function properly? 93 00:02:53,600 --> 00:02:54,120 Yeah. 94 00:02:54,120 --> 00:02:56,720 It's hard to say exactly what would be on the chopping block, 95 00:02:56,720 --> 00:02:57,200 you know? 96 00:02:57,200 --> 00:02:57,680 Right. 97 00:02:57,680 --> 00:02:59,080 But it could be devastating. 98 00:02:59,080 --> 00:02:59,560 Yeah. 99 00:02:59,560 --> 00:03:00,280 Think about it. 100 00:03:00,280 --> 00:03:00,720 Yeah. 101 00:03:00,720 --> 00:03:03,800 The research programs that are studying climate change. 102 00:03:03,800 --> 00:03:07,920 The vital data collected by satellites and weather balloons, 103 00:03:07,920 --> 00:03:11,200 even the maintenance of critical infrastructure, 104 00:03:11,200 --> 00:03:12,960 these things cost money. 105 00:03:12,960 --> 00:03:16,000 And without sufficient funding, Noah's ability 106 00:03:16,000 --> 00:03:20,000 to fulfill its mission would be severely compromised. 107 00:03:20,000 --> 00:03:24,120 And then there's this whole thing about Project 2025. 108 00:03:24,120 --> 00:03:24,840 Oh, yeah. 109 00:03:24,840 --> 00:03:28,120 I know it's like a policy document from the Heritage Foundation. 110 00:03:28,120 --> 00:03:28,640 Right. 111 00:03:28,640 --> 00:03:30,800 But what's the gist of it? 112 00:03:30,800 --> 00:03:33,640 Project 2025 is essentially a blueprint 113 00:03:33,640 --> 00:03:36,120 for how conservatives envision the government 114 00:03:36,120 --> 00:03:38,840 if they were to gain full control. 115 00:03:38,840 --> 00:03:42,280 And one of its key targets is Noah. 116 00:03:42,280 --> 00:03:43,080 Really? 117 00:03:43,080 --> 00:03:45,840 The document calls for its dismantling, 118 00:03:45,840 --> 00:03:51,320 labeling it a bloated bureaucracy driven by climate change alarm. 119 00:03:51,320 --> 00:03:55,080 So we have budget cuts looming, a push to shrink the government. 120 00:03:55,080 --> 00:03:55,760 Right. 121 00:03:55,760 --> 00:03:59,280 And this Project 2025 that seems to have it out for Noah. 122 00:03:59,280 --> 00:04:00,120 Pretty much. 123 00:04:00,120 --> 00:04:02,560 Where does the National Weather Service fit into all of this? 124 00:04:02,560 --> 00:04:03,760 Oh, that's a good question. 125 00:04:03,760 --> 00:04:06,400 Because they're the ones issuing severe weather warnings. 126 00:04:06,400 --> 00:04:09,280 They're like the folks on the front lines, so to speak. 127 00:04:09,280 --> 00:04:11,640 The National Weather Service is already grappling 128 00:04:11,640 --> 00:04:12,920 with staffing shortages. 129 00:04:12,920 --> 00:04:13,480 Oh, really? 130 00:04:13,480 --> 00:04:15,760 And struggling to attract new talent. 131 00:04:15,760 --> 00:04:16,120 Mm. 132 00:04:16,120 --> 00:04:19,200 These layoffs are only going to make things worse. 133 00:04:19,200 --> 00:04:19,720 Oh, wow. 134 00:04:19,720 --> 00:04:22,960 We're already seeing the impact in places like Alaska. 135 00:04:22,960 --> 00:04:23,280 OK. 136 00:04:23,280 --> 00:04:25,400 Where a weather balloon launch had to be canceled 137 00:04:25,400 --> 00:04:27,160 because they were understaffed. 138 00:04:27,160 --> 00:04:27,880 Really? 139 00:04:27,880 --> 00:04:29,120 Yeah. 140 00:04:29,120 --> 00:04:32,280 These balloons provide critical data for forecasting. 141 00:04:32,280 --> 00:04:32,680 Wow. 142 00:04:32,680 --> 00:04:35,320 And if we can't even get them off the ground, 143 00:04:35,320 --> 00:04:37,520 it raises some serious concerns. 144 00:04:37,520 --> 00:04:40,200 That's pretty alarming, especially when you consider that 145 00:04:40,200 --> 00:04:43,120 severe weather season is just around the corner in the southeast. 146 00:04:43,120 --> 00:04:43,800 Exactly. 147 00:04:43,800 --> 00:04:45,840 And then hurricane season is coming up, too. 148 00:04:45,840 --> 00:04:49,200 The timing of these cuts couldn't be worse. 149 00:04:49,200 --> 00:04:50,320 We need more resources. 150 00:04:50,320 --> 00:04:51,320 Exactly. 151 00:04:51,320 --> 00:04:52,280 Not fewer. 152 00:04:52,280 --> 00:04:53,320 Yes. 153 00:04:53,320 --> 00:04:56,960 To handle the increasing frequency and intensity 154 00:04:56,960 --> 00:04:58,440 of extreme weather events. 155 00:04:58,440 --> 00:04:58,680 OK. 156 00:04:58,680 --> 00:05:01,520 So we've got these layoffs happening at a critical time. 157 00:05:01,520 --> 00:05:02,080 Yes. 158 00:05:02,080 --> 00:05:03,880 And it seems like there's a lot of pushback. 159 00:05:03,880 --> 00:05:04,520 There is. 160 00:05:04,520 --> 00:05:07,920 I've heard that some lawmakers are speaking out pretty forcefully 161 00:05:07,920 --> 00:05:09,120 against these cuts. 162 00:05:09,120 --> 00:05:09,800 Yes. 163 00:05:09,800 --> 00:05:12,680 Lawmakers like Senator Maria Cantwell. 164 00:05:12,680 --> 00:05:13,200 OK. 165 00:05:13,200 --> 00:05:16,440 And Representative Jared Huffman have been very vocal 166 00:05:16,440 --> 00:05:17,480 in their criticisms. 167 00:05:17,480 --> 00:05:18,280 What do they say? 168 00:05:18,280 --> 00:05:21,440 Well, Cantwell called this a direct hit. 169 00:05:21,440 --> 00:05:22,240 A direct hit? 170 00:05:22,240 --> 00:05:23,880 To our economy. 171 00:05:23,880 --> 00:05:24,440 Wow. 172 00:05:24,440 --> 00:05:27,480 Pointing out that NOAA's work supports more than a third 173 00:05:27,480 --> 00:05:29,360 of the nation's GDP. 174 00:05:29,360 --> 00:05:29,840 Wow. 175 00:05:29,840 --> 00:05:35,160 And Huffman emphasized how people nationwide depend on NOAA 176 00:05:35,160 --> 00:05:38,040 for accurate forecasts and severe weather alerts 177 00:05:38,040 --> 00:05:41,720 and emergency information, especially during times of crisis. 178 00:05:41,720 --> 00:05:43,920 So it sounds like they're trying to sound the alarm bell 179 00:05:43,920 --> 00:05:46,040 and get people to pay attention to what's happening. 180 00:05:46,040 --> 00:05:46,560 Absolutely. 181 00:05:46,560 --> 00:05:48,360 To understand the potential consequences 182 00:05:48,360 --> 00:05:49,640 of weakening NOAA. 183 00:05:49,640 --> 00:05:51,960 And it's not just lawmakers who are concerned. 184 00:05:51,960 --> 00:05:53,840 Scientists and environmental groups 185 00:05:53,840 --> 00:05:55,400 are also expressing alarm. 186 00:05:55,400 --> 00:05:56,160 What are they saying? 187 00:05:56,160 --> 00:05:59,560 They're worried about the loss of expertise, 188 00:05:59,560 --> 00:06:04,080 the impact on vital research, and the potential for setbacks 189 00:06:04,080 --> 00:06:07,560 in our understanding and response to climate change. 190 00:06:07,560 --> 00:06:10,000 So we're losing valuable knowledge and capacity. 191 00:06:10,000 --> 00:06:10,560 Exactly. 192 00:06:10,560 --> 00:06:12,200 At a time when we need it most. 193 00:06:12,200 --> 00:06:14,240 And then there's like the human side of it all. 194 00:06:14,240 --> 00:06:15,160 Right. 195 00:06:15,160 --> 00:06:17,800 I was reading about Emma Esquivel. 196 00:06:17,800 --> 00:06:18,440 Who's that? 197 00:06:18,440 --> 00:06:21,080 She's an executive assistant in Alaska 198 00:06:21,080 --> 00:06:24,360 who is laid off despite being overqualified for her position. 199 00:06:24,360 --> 00:06:25,120 Oh, wow. 200 00:06:25,120 --> 00:06:27,000 It's easy to get caught up in the big picture. 201 00:06:27,000 --> 00:06:27,720 Yeah. 202 00:06:27,720 --> 00:06:30,160 But stories like hers remind us that these decisions 203 00:06:30,160 --> 00:06:32,280 have real consequences for real people. 204 00:06:32,280 --> 00:06:36,160 Her story is a powerful reminder that behind these statistics 205 00:06:36,160 --> 00:06:38,680 and policy pronouncements, there are individuals 206 00:06:38,680 --> 00:06:41,720 with families and dreams and livelihoods 207 00:06:41,720 --> 00:06:43,080 that are being upended. 208 00:06:43,080 --> 00:06:46,000 So we've got layoffs at NOAA, a push 209 00:06:46,000 --> 00:06:49,720 to shrink the government, a policy document targeting 210 00:06:49,720 --> 00:06:53,440 the agency, and a chorus of criticism 211 00:06:53,440 --> 00:06:56,520 from lawmakers, scientists, and environmental groups. 212 00:06:56,520 --> 00:06:57,480 It's a lot. 213 00:06:57,480 --> 00:06:58,880 It paints a pretty bleak picture. 214 00:06:58,880 --> 00:06:59,920 It does. 215 00:06:59,920 --> 00:07:01,640 But it's important to remember that we're not 216 00:07:01,640 --> 00:07:03,720 powerless in this situation. 217 00:07:03,720 --> 00:07:04,240 OK. 218 00:07:04,240 --> 00:07:04,880 It's a good point. 219 00:07:04,880 --> 00:07:07,000 We can make a difference by staying informed, 220 00:07:07,000 --> 00:07:08,320 engaging in discussions. 221 00:07:08,320 --> 00:07:08,680 Yeah. 222 00:07:08,680 --> 00:07:09,880 And making our voices heard. 223 00:07:09,880 --> 00:07:10,720 Absolutely. 224 00:07:10,720 --> 00:07:12,400 We'll talk more about that later in the episode. 225 00:07:12,400 --> 00:07:13,040 Sounds good. 226 00:07:13,040 --> 00:07:17,600 So we just talked about how NOAA is facing some major hurdles. 227 00:07:17,600 --> 00:07:20,160 Budget cuts, layoffs, and a political climate. 228 00:07:20,160 --> 00:07:21,720 Yeah. 229 00:07:21,720 --> 00:07:24,560 That doesn't seem to be very supportive of their mission. 230 00:07:24,560 --> 00:07:25,080 Yeah. 231 00:07:25,080 --> 00:07:29,320 But let's dive a little deeper into the potential consequences 232 00:07:29,320 --> 00:07:31,040 of all of this, especially when it 233 00:07:31,040 --> 00:07:32,480 comes to the National Weather Service. 234 00:07:32,480 --> 00:07:33,200 OK. 235 00:07:33,200 --> 00:07:36,040 Those are the folks who are issuing those severe weather 236 00:07:36,040 --> 00:07:39,280 warnings that literally save lives. 237 00:07:39,280 --> 00:07:41,240 It's easy to take those warnings for granted. 238 00:07:41,240 --> 00:07:41,840 Oh, yeah. 239 00:07:41,840 --> 00:07:44,360 But think about it. 240 00:07:44,360 --> 00:07:47,600 How often do you check the weather app? 241 00:07:47,600 --> 00:07:48,160 All the time? 242 00:07:48,160 --> 00:07:50,440 Before you head out the door or planning a trip? 243 00:07:50,440 --> 00:07:51,160 Right. 244 00:07:51,160 --> 00:07:53,920 Even just deciding what to wear for the day? 245 00:07:53,920 --> 00:07:54,680 Yeah. 246 00:07:54,680 --> 00:07:58,360 Behind those simple forecasts you see 247 00:07:58,360 --> 00:08:02,800 is a really complex network of technology and expertise. 248 00:08:02,800 --> 00:08:03,560 Wow. 249 00:08:03,560 --> 00:08:05,920 A lot of which is provided by the National Weather Service. 250 00:08:05,920 --> 00:08:06,400 Right. 251 00:08:06,400 --> 00:08:07,960 A key part of NOAA. 252 00:08:07,960 --> 00:08:08,240 Right. 253 00:08:08,240 --> 00:08:10,960 And we're not just talking about whether to pack an umbrella. 254 00:08:10,960 --> 00:08:11,800 We're talking about. 255 00:08:11,800 --> 00:08:13,000 We're talking about the big stuff. 256 00:08:13,000 --> 00:08:13,800 The big stuff. 257 00:08:13,800 --> 00:08:17,840 Hurricanes, tornadoes, blizzards, flash floods, 258 00:08:17,840 --> 00:08:21,120 events that can cause massive damage and disruption, 259 00:08:21,120 --> 00:08:22,280 even loss of life. 260 00:08:22,280 --> 00:08:22,880 Exactly. 261 00:08:22,880 --> 00:08:27,040 And those accurate forecasts and timely warnings 262 00:08:27,040 --> 00:08:30,760 depend on a well-staffed and well-equipped National Weather 263 00:08:30,760 --> 00:08:31,200 Service. 264 00:08:31,200 --> 00:08:32,480 For sure. 265 00:08:32,480 --> 00:08:34,840 But as we talked about earlier, the NWS 266 00:08:34,840 --> 00:08:37,120 is already facing staffing shortages. 267 00:08:37,120 --> 00:08:37,800 They are. 268 00:08:37,800 --> 00:08:39,800 Struggling to recruit new talent. 269 00:08:39,800 --> 00:08:40,560 Yes. 270 00:08:40,560 --> 00:08:43,960 And now they're being hit with these layoffs. 271 00:08:43,960 --> 00:08:45,240 On top of everything else. 272 00:08:45,240 --> 00:08:47,680 So fewer staff means what exactly? 273 00:08:47,680 --> 00:08:48,440 Well, think about it. 274 00:08:48,440 --> 00:08:48,840 Yeah. 275 00:08:48,840 --> 00:08:50,360 Slower response times. 276 00:08:50,360 --> 00:08:50,880 Yeah. 277 00:08:50,880 --> 00:08:53,000 Less accurate forecasts. 278 00:08:53,000 --> 00:08:54,480 What's the real impact here? 279 00:08:54,480 --> 00:08:58,480 Imagine a scenario where a severe thunderstorm is developing. 280 00:08:58,480 --> 00:08:59,280 Right. 281 00:08:59,280 --> 00:09:04,480 You need skilled meteorologists to analyze the radar data. 282 00:09:04,480 --> 00:09:04,960 Mm-hmm. 283 00:09:04,960 --> 00:09:06,280 Run the forecast models. 284 00:09:06,280 --> 00:09:06,800 Right. 285 00:09:06,800 --> 00:09:09,080 And issue those timely warnings to the public. 286 00:09:09,080 --> 00:09:09,480 Uh-huh. 287 00:09:09,480 --> 00:09:13,400 But if you're short-staffed, those critical tasks 288 00:09:13,400 --> 00:09:14,720 might get delayed. 289 00:09:14,720 --> 00:09:15,240 Right. 290 00:09:15,240 --> 00:09:18,320 And that could potentially put lives at risk. 291 00:09:18,320 --> 00:09:20,400 It's not just about the number of people, right? 292 00:09:20,400 --> 00:09:20,800 No. 293 00:09:20,800 --> 00:09:22,400 It's about having the right people. 294 00:09:22,400 --> 00:09:22,960 Exactly. 295 00:09:22,960 --> 00:09:25,320 With the right expertise in the right places. 296 00:09:25,320 --> 00:09:26,480 Absolutely. 297 00:09:26,480 --> 00:09:31,360 Losing experienced forecasters, especially those specializing 298 00:09:31,360 --> 00:09:34,080 in specific types of weather events, 299 00:09:34,080 --> 00:09:39,560 or certain geographic regions, can create gaps in knowledge 300 00:09:39,560 --> 00:09:42,120 and expertise that are hard to fill. 301 00:09:42,120 --> 00:09:46,400 It's like a well-oiled machine, suddenly having parts removed. 302 00:09:46,400 --> 00:09:50,960 Things might still function, but not as smoothly or efficiently. 303 00:09:50,960 --> 00:09:53,880 And in the case of severe weather, 304 00:09:53,880 --> 00:09:57,000 those inefficiencies can have dire consequences. 305 00:09:57,000 --> 00:09:59,560 And it's not just about predicting the weather itself 306 00:09:59,560 --> 00:10:00,040 right. 307 00:10:00,040 --> 00:10:03,320 It's also about communicating that information 308 00:10:03,320 --> 00:10:05,160 effectively to the public. 309 00:10:05,160 --> 00:10:05,440 Yeah. 310 00:10:05,440 --> 00:10:06,960 To emergency management officials. 311 00:10:06,960 --> 00:10:07,720 Yes. 312 00:10:07,720 --> 00:10:10,400 Clear, concise, and timely warnings 313 00:10:10,400 --> 00:10:12,360 can mean the difference between life and death. 314 00:10:12,360 --> 00:10:13,160 Exactly. 315 00:10:13,160 --> 00:10:14,920 In a severe weather situation. 316 00:10:14,920 --> 00:10:17,560 And remember, we're heading into spring now, 317 00:10:17,560 --> 00:10:20,880 which is like prime time for severe weather outbreaks. 318 00:10:20,880 --> 00:10:22,040 Especially in the southeast. 319 00:10:22,040 --> 00:10:23,280 Particularly in the southeast. 320 00:10:23,280 --> 00:10:24,080 Yeah. 321 00:10:24,080 --> 00:10:26,240 And then, of course, we have hurricane season. 322 00:10:26,240 --> 00:10:28,440 Looming large on the horizon. 323 00:10:28,440 --> 00:10:31,400 Coming up, I read that even the hurricane hunters 324 00:10:31,400 --> 00:10:33,200 are being affected by these cuts. 325 00:10:33,200 --> 00:10:34,200 Really? 326 00:10:34,200 --> 00:10:36,440 Those are the folks who fly right into the eye of the storm. 327 00:10:36,440 --> 00:10:37,560 They do. 328 00:10:37,560 --> 00:10:39,520 They fly right into the eye of the storm. 329 00:10:39,520 --> 00:10:41,000 To gather crucial data. 330 00:10:41,000 --> 00:10:41,800 Yes. 331 00:10:41,800 --> 00:10:44,280 The hurricane hunters play a vital role 332 00:10:44,280 --> 00:10:47,240 in understanding the intensity and track 333 00:10:47,240 --> 00:10:48,840 of those powerful storms. 334 00:10:48,840 --> 00:10:49,440 Right. 335 00:10:49,440 --> 00:10:51,440 Their observations help forecasters 336 00:10:51,440 --> 00:10:53,320 issue more accurate predictions. 337 00:10:53,320 --> 00:10:53,720 Yeah. 338 00:10:53,720 --> 00:10:55,600 Giving people more time to prepare. 339 00:10:55,600 --> 00:10:55,880 Right. 340 00:10:55,880 --> 00:10:57,880 And evacuate if necessary. 341 00:10:57,880 --> 00:10:58,360 Yeah. 342 00:10:58,360 --> 00:11:00,280 But they operate on a tight budget. 343 00:11:00,280 --> 00:11:00,840 Oh, really? 344 00:11:00,840 --> 00:11:04,440 And they rely on a highly skilled and experienced crew. 345 00:11:04,440 --> 00:11:07,760 Even a small reduction in staff or funding 346 00:11:07,760 --> 00:11:10,120 could have a significant impact on their ability 347 00:11:10,120 --> 00:11:11,960 to do their job effectively. 348 00:11:11,960 --> 00:11:14,000 It seems like everything's connected. 349 00:11:14,000 --> 00:11:14,560 It is. 350 00:11:14,560 --> 00:11:17,160 And any disruption to one part of the system 351 00:11:17,160 --> 00:11:19,040 could have ripple effects throughout. 352 00:11:19,040 --> 00:11:20,360 That's exactly right. 353 00:11:20,360 --> 00:11:21,800 It's a delicate balance. 354 00:11:21,800 --> 00:11:22,440 Yeah. 355 00:11:22,440 --> 00:11:26,200 And these layoffs at NOAA, especially 356 00:11:26,200 --> 00:11:28,160 within the National Weather Service, 357 00:11:28,160 --> 00:11:31,400 are throwing that balance off at a time 358 00:11:31,400 --> 00:11:33,200 when we can least afford it. 359 00:11:33,200 --> 00:11:36,320 But it's not just about immediate forecasts and warnings. 360 00:11:36,320 --> 00:11:37,160 No, it's not. 361 00:11:37,160 --> 00:11:40,240 NOAA also does a lot of long-term research and monitoring. 362 00:11:40,240 --> 00:11:40,960 They do. 363 00:11:40,960 --> 00:11:42,280 That helps us understand. 364 00:11:42,280 --> 00:11:43,200 Yes. 365 00:11:43,200 --> 00:11:46,560 And prepare for future climate change impacts. 366 00:11:46,560 --> 00:11:47,800 Very important work. 367 00:11:47,800 --> 00:11:51,280 How are these layoffs going to affect that critical work? 368 00:11:51,280 --> 00:11:52,920 That's a crucial point. 369 00:11:52,920 --> 00:11:56,480 NOAA plays a key role in gathering climate data, 370 00:11:56,480 --> 00:11:59,080 conducting research, and developing models 371 00:11:59,080 --> 00:12:02,160 that help us understand how our planet is changing 372 00:12:02,160 --> 00:12:04,280 and what those changes mean for our future. 373 00:12:04,280 --> 00:12:05,480 So it's like long-term stuff. 374 00:12:05,480 --> 00:12:06,720 Yes. 375 00:12:06,720 --> 00:12:09,360 This work informs policy decisions. 376 00:12:09,360 --> 00:12:12,000 Helps communities adapt to rising sea levels 377 00:12:12,000 --> 00:12:15,000 and more extreme weather events, and guides efforts 378 00:12:15,000 --> 00:12:17,360 to mitigate the impacts of climate change. 379 00:12:17,360 --> 00:12:20,240 So if NOAA is weakened by these cuts, 380 00:12:20,240 --> 00:12:23,320 our ability to understand and respond to climate change 381 00:12:23,320 --> 00:12:24,280 is also weakened. 382 00:12:24,280 --> 00:12:25,080 Is also weakened. 383 00:12:25,080 --> 00:12:26,240 Unfortunately, yes. 384 00:12:26,240 --> 00:12:26,800 Wow. 385 00:12:26,800 --> 00:12:32,720 We risk losing valuable data, delaying critical research, 386 00:12:32,720 --> 00:12:35,080 and ultimately hindering our ability 387 00:12:35,080 --> 00:12:36,520 to make informed decisions. 388 00:12:36,520 --> 00:12:37,480 What, climate change? 389 00:12:37,480 --> 00:12:40,760 About one of the most pressing challenges facing humanity. 390 00:12:40,760 --> 00:12:42,680 And it just seems so counterintuitive. 391 00:12:42,680 --> 00:12:43,480 I know. 392 00:12:43,480 --> 00:12:45,120 We're seeing more and more evidence 393 00:12:45,120 --> 00:12:48,800 of climate change impacts, record-breaking heat waves, 394 00:12:48,800 --> 00:12:51,640 more intense storms rising sea levels, 395 00:12:51,640 --> 00:12:55,080 yet we're cutting funding to the very agency that 396 00:12:55,080 --> 00:12:57,440 helps us understand and address these issues. 397 00:12:57,440 --> 00:12:59,280 It's a concerning paradox. 398 00:12:59,280 --> 00:13:01,360 And it's not just about funding either. 399 00:13:01,360 --> 00:13:02,320 What else is it about? 400 00:13:02,320 --> 00:13:04,960 It's about the overall message being sent. 401 00:13:04,960 --> 00:13:08,280 When you cut budgets and staff at agencies like NOAA, 402 00:13:08,280 --> 00:13:11,640 it sends a signal that climate change isn't a priority. 403 00:13:11,640 --> 00:13:14,480 And that can have ripple effects far beyond the agency 404 00:13:14,480 --> 00:13:15,520 itself. 405 00:13:15,520 --> 00:13:16,680 What do you mean by that? 406 00:13:16,680 --> 00:13:20,000 Well, it can discourage talented young scientists 407 00:13:20,000 --> 00:13:23,280 from pursuing careers in climate-related fields. 408 00:13:23,280 --> 00:13:24,760 So like the next generation. 409 00:13:24,760 --> 00:13:25,400 Exactly. 410 00:13:25,400 --> 00:13:28,720 It can undermine public trust in scientific institutions. 411 00:13:28,720 --> 00:13:29,600 Oh, wow. 412 00:13:29,600 --> 00:13:32,320 And it can make it harder to enact meaningful policies. 413 00:13:32,320 --> 00:13:33,560 To actually address climate change. 414 00:13:33,560 --> 00:13:35,240 To address climate change, yes. 415 00:13:35,240 --> 00:13:38,760 So these layoffs are not just about numbers on a spreadsheet. 416 00:13:38,760 --> 00:13:39,960 No, they're not. 417 00:13:39,960 --> 00:13:42,440 They represent a potential setback 418 00:13:42,440 --> 00:13:44,640 in our understanding of our planet 419 00:13:44,640 --> 00:13:48,040 and our ability to address one of the most pressing challenges 420 00:13:48,040 --> 00:13:48,880 of our time. 421 00:13:48,880 --> 00:13:50,440 It's pretty disheartening. 422 00:13:50,440 --> 00:13:51,280 It is. 423 00:13:51,280 --> 00:13:53,360 But I think it's important to remember 424 00:13:53,360 --> 00:13:55,400 that we're not powerless in this situation. 425 00:13:55,400 --> 00:13:56,040 We're not. 426 00:13:56,040 --> 00:13:57,280 We can still make a difference. 427 00:13:57,280 --> 00:13:58,000 That's a good point. 428 00:13:58,000 --> 00:13:59,760 We'll talk more about that in the next segment. 429 00:13:59,760 --> 00:14:02,400 But before we do, I want to circle back to something 430 00:14:02,400 --> 00:14:04,040 we touched on earlier. 431 00:14:04,040 --> 00:14:06,400 The human cost of these layoffs. 432 00:14:06,400 --> 00:14:10,720 Real people with families, dreams, careers 433 00:14:10,720 --> 00:14:13,040 that are being disrupted by these decisions. 434 00:14:13,040 --> 00:14:15,040 We can't forget about them. 435 00:14:15,040 --> 00:14:17,640 Amidst all the talk of budgets and policy. 436 00:14:17,640 --> 00:14:19,080 You're absolutely right. 437 00:14:19,080 --> 00:14:21,960 Behind every statistic, there's a human story. 438 00:14:21,960 --> 00:14:22,600 There is. 439 00:14:22,600 --> 00:14:26,640 People who have dedicated their lives to public service, 440 00:14:26,640 --> 00:14:27,800 to science. 441 00:14:27,800 --> 00:14:29,160 To protecting our planet. 442 00:14:29,160 --> 00:14:31,400 To protecting our planet. 443 00:14:31,400 --> 00:14:33,920 Their contributions are invaluable. 444 00:14:33,920 --> 00:14:34,800 They are. 445 00:14:34,800 --> 00:14:36,240 And we shouldn't lose sight of that. 446 00:14:36,240 --> 00:14:37,280 Absolutely not. 447 00:14:37,280 --> 00:14:41,040 Like Emma Esquivel, the executive assistant in Alaska 448 00:14:41,040 --> 00:14:42,640 who was laid off. 449 00:14:42,640 --> 00:14:47,240 Her story is a reminder that these decisions have real world 450 00:14:47,240 --> 00:14:50,480 consequences for individuals and their families. 451 00:14:50,480 --> 00:14:52,880 These are not just numbers on a spreadsheet. 452 00:14:52,880 --> 00:14:54,320 These are people's lives. 453 00:14:54,320 --> 00:14:56,000 It's important to keep that in mind 454 00:14:56,000 --> 00:14:57,840 as we continue this conversation. 455 00:14:57,840 --> 00:14:59,680 So we've spent the last two segments talking 456 00:14:59,680 --> 00:15:02,680 about the threats to NOAA. 457 00:15:02,680 --> 00:15:06,200 The budget cuts the politically motivated attacks. 458 00:15:06,200 --> 00:15:09,440 And then the very real consequences 459 00:15:09,440 --> 00:15:11,400 of all those staffing shortages. 460 00:15:11,400 --> 00:15:12,960 Especially for the National Weather Service. 461 00:15:12,960 --> 00:15:13,960 Exactly. 462 00:15:13,960 --> 00:15:18,480 But it's not all doom and gloom. 463 00:15:18,480 --> 00:15:20,080 Let's shift gears a little bit. 464 00:15:20,080 --> 00:15:20,880 OK. 465 00:15:20,880 --> 00:15:23,000 And explore what can be done. 466 00:15:23,000 --> 00:15:23,640 Yeah. 467 00:15:23,640 --> 00:15:25,320 What actions can be taken. 468 00:15:25,320 --> 00:15:27,040 To protect NOAA. 469 00:15:27,040 --> 00:15:29,520 And the really important services that it provides. 470 00:15:29,520 --> 00:15:32,800 It's easy to get overwhelmed by how big this problem is. 471 00:15:32,800 --> 00:15:34,440 I feel like you want to just give up. 472 00:15:34,440 --> 00:15:34,840 Totally. 473 00:15:34,840 --> 00:15:37,480 But there are things that we can do. 474 00:15:37,480 --> 00:15:39,160 Both on a policy level. 475 00:15:39,160 --> 00:15:41,440 And through things that we do every day. 476 00:15:41,440 --> 00:15:41,600 All right. 477 00:15:41,600 --> 00:15:43,280 So let's start with the big picture stuff. 478 00:15:43,280 --> 00:15:43,720 Right. 479 00:15:43,720 --> 00:15:45,600 What kind of policy changes would actually 480 00:15:45,600 --> 00:15:47,800 make a difference for NOAA in the long run? 481 00:15:47,800 --> 00:15:50,360 Well, the most obvious change. 482 00:15:50,360 --> 00:15:52,560 And probably the most impactful. 483 00:15:52,560 --> 00:15:53,000 OK. 484 00:15:53,000 --> 00:15:55,960 Would be to reverse those drastic budget cuts. 485 00:15:55,960 --> 00:15:56,280 Right. 486 00:15:56,280 --> 00:15:59,200 Like we talked about NOAA is facing a potential reduction. 487 00:15:59,200 --> 00:15:59,600 Yeah. 488 00:15:59,600 --> 00:16:01,040 Of one third of its budget. 489 00:16:01,040 --> 00:16:01,480 A third. 490 00:16:01,480 --> 00:16:02,880 Which would be crippling. 491 00:16:02,880 --> 00:16:03,360 Right. 492 00:16:03,360 --> 00:16:05,120 Congress controls the money. 493 00:16:05,120 --> 00:16:07,080 So they need to hear from us. 494 00:16:07,080 --> 00:16:08,400 From their constituents. 495 00:16:08,400 --> 00:16:08,800 Yeah. 496 00:16:08,800 --> 00:16:11,760 Loud and clear that funding for NOAA is essential. 497 00:16:11,760 --> 00:16:13,840 So contacting our representatives. 498 00:16:13,840 --> 00:16:16,480 Letting them know that we value NOAA. 499 00:16:16,480 --> 00:16:16,800 Yes. 500 00:16:16,800 --> 00:16:18,360 That we want to see it properly supported. 501 00:16:18,360 --> 00:16:19,080 Exactly. 502 00:16:19,080 --> 00:16:20,920 That's something that listeners can do right now. 503 00:16:20,920 --> 00:16:21,840 Absolutely. 504 00:16:21,840 --> 00:16:23,480 Every voice matters. 505 00:16:23,480 --> 00:16:25,880 And lawmakers do pay attention to what 506 00:16:25,880 --> 00:16:27,320 their constituents are saying. 507 00:16:27,320 --> 00:16:28,160 OK. 508 00:16:28,160 --> 00:16:28,720 Cool. 509 00:16:28,720 --> 00:16:30,600 So we can reach out to our representative. 510 00:16:30,600 --> 00:16:32,880 We also talked about Project 2025. 511 00:16:32,880 --> 00:16:33,280 Right. 512 00:16:33,280 --> 00:16:35,920 That policy document that seems to be targeting NOAA. 513 00:16:35,920 --> 00:16:37,120 Mm-hmm. 514 00:16:37,120 --> 00:16:40,200 What can we do to counter that kind of attack? 515 00:16:40,200 --> 00:16:43,240 Well, Project 2025 is pushing this narrative. 516 00:16:43,240 --> 00:16:43,800 OK. 517 00:16:43,800 --> 00:16:46,240 That paints NOAA as a wasteful bureaucracy. 518 00:16:46,240 --> 00:16:46,760 Right. 519 00:16:46,760 --> 00:16:49,120 That's obsessed with climate change alarmism. 520 00:16:49,120 --> 00:16:49,360 Right. 521 00:16:49,360 --> 00:16:50,960 It's a dangerous narrative. 522 00:16:50,960 --> 00:16:51,240 Yeah. 523 00:16:51,240 --> 00:16:53,960 And it's really important to counter it with facts, 524 00:16:53,960 --> 00:16:58,160 with evidence, and real-world examples of how valuable NOAA is. 525 00:16:58,160 --> 00:16:58,360 Right. 526 00:16:58,360 --> 00:17:02,320 Because if people don't understand what NOAA actually does. 527 00:17:02,320 --> 00:17:02,920 Exactly. 528 00:17:02,920 --> 00:17:04,120 How its work affects them. 529 00:17:04,120 --> 00:17:05,200 Benefits them directly. 530 00:17:05,200 --> 00:17:08,560 They're more likely to believe that negative spin. 531 00:17:08,560 --> 00:17:09,320 For sure. 532 00:17:09,320 --> 00:17:12,000 So sharing accurate information about NOAA. 533 00:17:12,000 --> 00:17:12,320 Uh-huh. 534 00:17:12,320 --> 00:17:15,760 Highlighting how it contributes to public safety, 535 00:17:15,760 --> 00:17:17,920 to economic well-being. 536 00:17:17,920 --> 00:17:18,440 Right. 537 00:17:18,440 --> 00:17:20,560 And our understanding of the planet. 538 00:17:20,560 --> 00:17:21,080 OK. 539 00:17:21,080 --> 00:17:24,080 These are all important actions we can take to push back 540 00:17:24,080 --> 00:17:26,120 against that misinformation. 541 00:17:26,120 --> 00:17:29,080 So we can fight for NOAA on a policy level. 542 00:17:29,080 --> 00:17:29,800 Yes. 543 00:17:29,800 --> 00:17:32,680 By advocating for funding and countering misinformation. 544 00:17:32,680 --> 00:17:33,800 Exactly. 545 00:17:33,800 --> 00:17:36,240 But what about more immediate solutions 546 00:17:36,240 --> 00:17:38,520 for those staffing shortages. 547 00:17:38,520 --> 00:17:38,840 Right. 548 00:17:38,840 --> 00:17:40,320 At the National Weather Service? 549 00:17:40,320 --> 00:17:42,280 Those are a pressing concern. 550 00:17:42,280 --> 00:17:42,880 Yeah. 551 00:17:42,880 --> 00:17:45,000 Especially with severe weather season coming up. 552 00:17:45,000 --> 00:17:47,640 We need both short-term and long-term strategies. 553 00:17:47,640 --> 00:17:48,120 OK. 554 00:17:48,120 --> 00:17:49,840 So what can we do in the short term? 555 00:17:49,840 --> 00:17:53,400 Well, one option is to try to streamline the hiring process. 556 00:17:53,400 --> 00:17:55,600 Because right now it's like a bureaucratic nightmare. 557 00:17:55,600 --> 00:17:56,360 It can be. 558 00:17:56,360 --> 00:17:56,760 Yeah. 559 00:17:56,760 --> 00:17:59,760 The current process is lengthy and complex. 560 00:17:59,760 --> 00:17:59,960 Right. 561 00:17:59,960 --> 00:18:02,480 Which discourages good people from applying. 562 00:18:02,480 --> 00:18:02,720 Yeah. 563 00:18:02,720 --> 00:18:05,120 And leaves those important positions unfilled. 564 00:18:05,120 --> 00:18:05,760 Makes sense. 565 00:18:05,760 --> 00:18:07,360 So simplifying the process. 566 00:18:07,360 --> 00:18:07,640 Uh-huh. 567 00:18:07,640 --> 00:18:10,360 Making it more competitive with the private sector. 568 00:18:10,360 --> 00:18:13,400 Could help attract and keep that top talent. 569 00:18:13,400 --> 00:18:14,760 So cutting through the red tape. 570 00:18:14,760 --> 00:18:15,160 Yeah. 571 00:18:15,160 --> 00:18:16,480 Making it more appealing to work 572 00:18:16,480 --> 00:18:17,640 for the National Weather Service. 573 00:18:17,640 --> 00:18:18,360 Exactly. 574 00:18:18,360 --> 00:18:19,000 That makes sense. 575 00:18:19,000 --> 00:18:19,480 Yeah. 576 00:18:19,480 --> 00:18:22,080 What about longer-term solutions? 577 00:18:22,080 --> 00:18:25,800 One promising avenue is to strengthen those partnerships. 578 00:18:25,800 --> 00:18:26,120 OK. 579 00:18:26,120 --> 00:18:28,560 With universities and research institutions. 580 00:18:28,560 --> 00:18:29,160 OK. 581 00:18:29,160 --> 00:18:30,160 So working with schools. 582 00:18:30,160 --> 00:18:30,760 Yeah. 583 00:18:30,760 --> 00:18:34,200 This could involve creating more training programs, 584 00:18:34,200 --> 00:18:35,880 offering more internships. 585 00:18:35,880 --> 00:18:37,880 Even collaborating on research projects. 586 00:18:37,880 --> 00:18:40,800 So it's like investing in that next generation of weather 587 00:18:40,800 --> 00:18:41,360 experts. 588 00:18:41,360 --> 00:18:42,080 Exactly. 589 00:18:42,080 --> 00:18:45,760 Making sure there's a pipeline of qualified professionals. 590 00:18:45,760 --> 00:18:46,360 Yeah. 591 00:18:46,360 --> 00:18:48,480 To carry the torch, so to speak. 592 00:18:48,480 --> 00:18:49,920 And what about technology? 593 00:18:49,920 --> 00:18:51,200 Oh, technology's a big one. 594 00:18:51,200 --> 00:18:51,960 Yeah. 595 00:18:51,960 --> 00:18:53,800 Does it have a role to play in all of this? 596 00:18:53,800 --> 00:18:55,560 Definitely. 597 00:18:55,560 --> 00:18:58,720 Advances in artificial intelligence and machine learning. 598 00:18:58,720 --> 00:18:59,120 Wow. 599 00:18:59,120 --> 00:19:01,160 Could help automate some of those tasks. 600 00:19:01,160 --> 00:19:01,560 Right. 601 00:19:01,560 --> 00:19:03,800 Which would free up human forecasters 602 00:19:03,800 --> 00:19:07,320 to focus on the more complex and critical stuff. 603 00:19:07,320 --> 00:19:11,320 So not replacing human expertise, but augmenting it. 604 00:19:11,320 --> 00:19:11,600 Exactly. 605 00:19:11,600 --> 00:19:14,480 And making the best use of those limited resources. 606 00:19:14,480 --> 00:19:15,080 Exactly. 607 00:19:15,080 --> 00:19:16,960 Technology is a tool. 608 00:19:16,960 --> 00:19:20,240 And it can be a powerful one if it's used wisely. 609 00:19:20,240 --> 00:19:23,400 It feels like we're talking about a multi-pronged approach. 610 00:19:23,400 --> 00:19:23,880 We are. 611 00:19:23,880 --> 00:19:26,120 We're tackling this problem from different angles. 612 00:19:26,120 --> 00:19:26,720 Yeah. 613 00:19:26,720 --> 00:19:29,880 With both short term and long term solutions. 614 00:19:29,880 --> 00:19:31,200 That's exactly what's needed. 615 00:19:31,200 --> 00:19:32,560 It's a complex issue. 616 00:19:32,560 --> 00:19:33,920 There's no magic bullet. 617 00:19:33,920 --> 00:19:34,240 Right. 618 00:19:34,240 --> 00:19:37,720 But by addressing the funding challenges, 619 00:19:37,720 --> 00:19:41,680 encountering that misinformation, streamlining the hiring 620 00:19:41,680 --> 00:19:45,520 processes, investing in future talent, 621 00:19:45,520 --> 00:19:49,280 and leveraging technology, we can protect NOAA 622 00:19:49,280 --> 00:19:52,320 and make sure it can keep doing that vital work. 623 00:19:52,320 --> 00:19:54,760 And it's important to remember that this isn't just 624 00:19:54,760 --> 00:19:58,680 about some abstract government agency. 625 00:19:58,680 --> 00:19:59,960 This is about all of us. 626 00:19:59,960 --> 00:20:00,560 It is. 627 00:20:00,560 --> 00:20:03,080 It's about having accurate weather information. 628 00:20:03,080 --> 00:20:03,560 Yes. 629 00:20:03,560 --> 00:20:05,400 Understanding how the climate's changing. 630 00:20:05,400 --> 00:20:05,960 Uh-huh. 631 00:20:05,960 --> 00:20:08,720 And making sure our oceans and fisheries are healthy. 632 00:20:08,720 --> 00:20:10,720 It touches our lives in so many ways. 633 00:20:10,720 --> 00:20:11,680 Yeah. 634 00:20:11,680 --> 00:20:12,920 And speaking of staying informed. 635 00:20:12,920 --> 00:20:13,560 Uh-huh. 636 00:20:13,560 --> 00:20:13,960 Yes. 637 00:20:13,960 --> 00:20:16,480 You know our go to weather expert, Rob Jones. 638 00:20:16,480 --> 00:20:17,040 Oh, yeah. 639 00:20:17,040 --> 00:20:19,280 He's been following this whole situation really closely. 640 00:20:19,280 --> 00:20:20,080 He has. 641 00:20:20,080 --> 00:20:22,840 You can find him on Instagram at meteorologist. 642 00:20:22,840 --> 00:20:23,200 OK. 643 00:20:23,200 --> 00:20:25,720 On TikTok at TV meteorologist. 644 00:20:25,720 --> 00:20:26,360 Right. 645 00:20:26,360 --> 00:20:29,080 And on YouTube at Rob Jones hurricane. 646 00:20:29,080 --> 00:20:31,320 He's a great resource for staying up to date. 647 00:20:31,320 --> 00:20:31,760 Yeah. 648 00:20:31,760 --> 00:20:35,120 And understanding how complex all of this is. 649 00:20:35,120 --> 00:20:37,240 So we've covered a lot of ground here. 650 00:20:37,240 --> 00:20:37,920 We have. 651 00:20:37,920 --> 00:20:39,720 You know the challenges facing NOAA. 652 00:20:39,720 --> 00:20:40,480 Uh-huh. 653 00:20:40,480 --> 00:20:43,920 The potential consequences if we don't do anything. 654 00:20:43,920 --> 00:20:45,320 Right. 655 00:20:45,320 --> 00:20:48,560 And thankfully some potential solutions and some hope. 656 00:20:48,560 --> 00:20:49,640 The limbers of hope. 657 00:20:49,640 --> 00:20:50,600 It's a complex issue. 658 00:20:50,600 --> 00:20:50,920 Yeah. 659 00:20:50,920 --> 00:20:52,600 But hopefully this episode has helped 660 00:20:52,600 --> 00:20:53,440 to shed some light. 661 00:20:53,440 --> 00:20:53,920 Yeah. 662 00:20:53,920 --> 00:20:55,480 On how important NOAA is. 663 00:20:55,480 --> 00:20:56,080 For sure. 664 00:20:56,080 --> 00:20:57,920 And the role we can all play in protecting it. 665 00:20:57,920 --> 00:20:58,720 Absolutely. 666 00:20:58,720 --> 00:21:00,920 And remember this is an ongoing conversation. 667 00:21:00,920 --> 00:21:01,440 Yeah. 668 00:21:01,440 --> 00:21:04,120 Stay tuned for future updates as things develop. 669 00:21:04,120 --> 00:21:04,600 Yeah. 670 00:21:04,600 --> 00:21:07,440 And in the meantime, let's all do our part 671 00:21:07,440 --> 00:21:09,280 to support NOAA and its work. 672 00:21:09,280 --> 00:21:10,600 Because at the end of the day. 673 00:21:10,600 --> 00:21:11,360 Yeah. 674 00:21:11,360 --> 00:21:14,280 We all need accurate weather information. 675 00:21:14,280 --> 00:21:14,680 I would say. 676 00:21:14,680 --> 00:21:15,840 Healthy planet. 677 00:21:15,840 --> 00:21:17,680 And a safe future. 678 00:21:17,680 --> 00:21:18,960 Couldn't agree more. 679 00:21:18,960 --> 00:21:20,960 Thanks for joining us on meteorology matters. 680 00:21:20,960 --> 00:21:38,000 My pleasure.