1 00:00:01,000 --> 00:00:06,000 Speaker 1: This is the most traumatic podcast ever and iHeartRadio podcast. 2 00:00:07,880 --> 00:00:11,880 Speaker 1: Chris Harrison comany from the home office in Austin, Texas. 3 00:00:12,160 --> 00:00:17,200 Speaker 1: I would say geographically just outside of Tornado Alley, which 4 00:00:17,239 --> 00:00:19,000 Speaker 1: is where I grew up, but growing up in Dallas 5 00:00:19,000 --> 00:00:21,080 Speaker 1: then going to school in Oklahoma. The reason I mentioned 6 00:00:21,120 --> 00:00:25,720 Speaker 1: that is our obsession with the movie Twisters, an absolute 7 00:00:25,880 --> 00:00:29,800 Speaker 1: box office hit with Glenn Palell, and everybody's been talking 8 00:00:29,840 --> 00:00:35,400 Speaker 1: about it. I shared a previous episode how during my 9 00:00:35,560 --> 00:00:38,120 Speaker 1: days in Oklahoma City, when I was in local news, 10 00:00:38,880 --> 00:00:40,880 Speaker 1: from time to time I would Stormchase and one of 11 00:00:40,920 --> 00:00:43,640 Speaker 1: the biggest events was in late May of ninety nine, 12 00:00:44,320 --> 00:00:46,839 Speaker 1: right before I left Oklahoma City. Actually I covered the 13 00:00:46,840 --> 00:00:48,839 Speaker 1: biggest tornado outbreak at the time and one of the 14 00:00:48,840 --> 00:00:52,599 Speaker 1: biggest tornadoes ever recorded. So the movie Twisters has kind 15 00:00:52,640 --> 00:00:55,600 Speaker 1: of hit near and dear to my heart. And I 16 00:00:55,760 --> 00:01:00,600 Speaker 1: found this guy, Sean Waugh, who actually worked on the 17 00:01:00,600 --> 00:01:05,520 Speaker 1: movie Twisters. He was kind of the technical expert. They 18 00:01:05,560 --> 00:01:09,640 Speaker 1: recruited him and his teammates from the National Severe Storm Laboratory, 19 00:01:09,680 --> 00:01:12,560 Speaker 1: which is down there in Norman, Oklahoma, about thirty forty 20 00:01:12,560 --> 00:01:15,480 Speaker 1: five minute drive just south of Oklahoma City. It's where 21 00:01:15,520 --> 00:01:18,720 Speaker 1: the University of Oklahoma is but to ensure an accurate 22 00:01:18,760 --> 00:01:23,520 Speaker 1: portrayal of the chasing lifestyle of the storms, of the 23 00:01:23,520 --> 00:01:27,360 Speaker 1: phrases and terms that we're used. Sewn Wah, who actually 24 00:01:27,680 --> 00:01:30,280 Speaker 1: works he's a meteorologist, works in weather all the time. 25 00:01:30,880 --> 00:01:33,559 Speaker 1: They brought him in to work with the film crew, 26 00:01:33,760 --> 00:01:35,800 Speaker 1: the actors and everything, and I just thought, what a 27 00:01:36,480 --> 00:01:39,600 Speaker 1: great insight into one of our favorite films of the summer. 28 00:01:40,160 --> 00:01:43,480 Speaker 1: So let's bring on our guest, Sean Waugh. Sean, good 29 00:01:43,520 --> 00:01:44,000 Speaker 1: to talk to you. 30 00:01:44,080 --> 00:01:44,280 Speaker 2: Man. 31 00:01:45,760 --> 00:01:48,160 Speaker 1: It looks like you're in a tornado bunker. Are you 32 00:01:48,400 --> 00:01:49,440 Speaker 1: Are you safe right now? 33 00:01:49,480 --> 00:01:52,960 Speaker 3: Are you? I am safe right now. I'm actually in Norman, 34 00:01:53,000 --> 00:01:55,080 Speaker 3: Oklahoma at the National Weather Center. 35 00:01:56,040 --> 00:01:59,200 Speaker 1: Yeah, it's right down there in Norman, Oklahoma, next to 36 00:02:00,200 --> 00:02:02,880 Speaker 1: the campus of OU. I was in So I was 37 00:02:02,920 --> 00:02:06,920 Speaker 1: in Oklahoma City for ten twelve twelve years, I guess 38 00:02:06,920 --> 00:02:09,800 Speaker 1: because I went to Oklahoma City University but then worked 39 00:02:09,800 --> 00:02:12,080 Speaker 1: at Channel nine. And I'm sure you are familiar with 40 00:02:12,120 --> 00:02:15,760 Speaker 1: all the meteorologists and stuff up there and where weather 41 00:02:15,880 --> 00:02:18,960 Speaker 1: is king as we are in tornado season and we're 42 00:02:19,000 --> 00:02:20,280 Speaker 1: in the middle of tornado Alley. 43 00:02:20,480 --> 00:02:21,440 Speaker 2: Yeah, yeah, for sure. 44 00:02:21,600 --> 00:02:23,800 Speaker 3: Weather It's one of those things that everybody talked about 45 00:02:23,840 --> 00:02:26,440 Speaker 3: here like anywhere else in the world or in the country, 46 00:02:26,440 --> 00:02:28,640 Speaker 3: it's kind of like, oh, we're talking about the weather, 47 00:02:28,720 --> 00:02:30,280 Speaker 3: and you know here everybody gets really. 48 00:02:30,160 --> 00:02:30,960 Speaker 2: Excited about it. 49 00:02:31,160 --> 00:02:33,760 Speaker 1: There's this right of passage at a certain age where 50 00:02:33,760 --> 00:02:35,880 Speaker 1: you get you know, your the best weather app and 51 00:02:35,919 --> 00:02:39,720 Speaker 1: it's like we're all we're all you know, want to 52 00:02:39,720 --> 00:02:42,760 Speaker 1: be meteorologists. Now you know that. Before there's there's no 53 00:02:42,840 --> 00:02:45,920 Speaker 1: way anybody else had access to Doppler radar. Now I 54 00:02:45,960 --> 00:02:48,400 Speaker 1: have it in my own phone, and so have you 55 00:02:48,520 --> 00:02:52,639 Speaker 1: seen that explosion? With smartphones and everything, In all seriousness, 56 00:02:52,680 --> 00:02:55,920 Speaker 1: the amateur getting more and more involved in all of this, 57 00:02:56,000 --> 00:02:58,519 Speaker 1: and I and probably a good way, but I'm sure 58 00:02:58,520 --> 00:02:59,800 Speaker 1: there's some bad to it as well. 59 00:03:00,120 --> 00:03:00,760 Speaker 2: Absolutely. 60 00:03:00,760 --> 00:03:02,440 Speaker 3: I mean, if you go back and you ask people 61 00:03:02,480 --> 00:03:05,120 Speaker 3: that have chased for you know, fifty sixty years, like, hey, like, 62 00:03:05,520 --> 00:03:07,400 Speaker 3: how did you guys see things back in the day, 63 00:03:07,720 --> 00:03:09,880 Speaker 3: The short answer is they really didn't most of the time. 64 00:03:10,440 --> 00:03:13,320 Speaker 3: And technology has certainly made a lot of the aspects 65 00:03:13,360 --> 00:03:15,040 Speaker 3: of what we do, you know, whether that be storm 66 00:03:15,120 --> 00:03:18,680 Speaker 3: chasing or severe weather research, whatever it's it's really helped 67 00:03:18,760 --> 00:03:22,480 Speaker 3: us like tune into things and do our job better. 68 00:03:22,520 --> 00:03:25,360 Speaker 3: But it's also opened the door to just people that 69 00:03:25,880 --> 00:03:28,080 Speaker 3: just want to come out and see what mother nature 70 00:03:28,120 --> 00:03:30,359 Speaker 3: has to offer to kind of view things. And not 71 00:03:30,520 --> 00:03:33,919 Speaker 3: that there's necessarily anything bad about that, but when it's 72 00:03:33,960 --> 00:03:36,040 Speaker 3: so easy to just pull up a radar app on 73 00:03:36,080 --> 00:03:39,440 Speaker 3: your phone, find the nearest tornado warning, and almost map 74 00:03:39,520 --> 00:03:43,320 Speaker 3: yourself to it, it ends up creating like huge traffic 75 00:03:43,400 --> 00:03:45,720 Speaker 3: problems on some of the events that I've seen, especially 76 00:03:45,800 --> 00:03:48,800 Speaker 3: in central Oklahoma, on days that just get really hyped up, 77 00:03:49,080 --> 00:03:51,920 Speaker 3: and I've actually had to abandon targets like pick a 78 00:03:51,960 --> 00:03:55,320 Speaker 3: completely different storm just because I turned down a road 79 00:03:55,360 --> 00:03:58,600 Speaker 3: and this road sees like ten cars a year, and 80 00:03:58,640 --> 00:04:00,360 Speaker 3: now there's a thousand. 81 00:04:00,080 --> 00:04:03,000 Speaker 2: People on it and annually it's total gridlock. 82 00:04:03,040 --> 00:04:04,640 Speaker 3: I mean it looks like you're driving around in like 83 00:04:04,680 --> 00:04:08,880 Speaker 3: downtown Manhattan, you know, like just traffic jam everywhere. Everybody's 84 00:04:08,920 --> 00:04:11,360 Speaker 3: out on the road. You can't move. That's a huge 85 00:04:11,400 --> 00:04:14,680 Speaker 3: safety hazard. So I've actually like started factoring that into 86 00:04:14,680 --> 00:04:15,920 Speaker 3: my like work plan and stuff. 87 00:04:15,960 --> 00:04:18,720 Speaker 1: That is bizarre. So yeah, So, I mean one of 88 00:04:18,760 --> 00:04:22,360 Speaker 1: the things that's kind of manifested this conversation and everybody's 89 00:04:22,400 --> 00:04:25,359 Speaker 1: excitement is obviously the movie Twisters came out and it 90 00:04:25,400 --> 00:04:28,440 Speaker 1: has been a huge box office hit, as it was 91 00:04:28,480 --> 00:04:30,240 Speaker 1: back by the way in the mid nineties. When the 92 00:04:30,279 --> 00:04:34,000 Speaker 1: original came out in ninety six, I was very much 93 00:04:34,200 --> 00:04:38,400 Speaker 1: in the world of Oklahoma weather at the time. I 94 00:04:38,480 --> 00:04:41,719 Speaker 1: was working at KWATV Channel nine at the time for 95 00:04:42,560 --> 00:04:45,240 Speaker 1: you know, the god of all meteorologists, Gary England, the 96 00:04:45,320 --> 00:04:48,520 Speaker 1: legend and the man who I think had a hand 97 00:04:48,640 --> 00:04:54,279 Speaker 1: in creating Doppeler radar, which is crazy. But back then, 98 00:04:55,600 --> 00:05:01,440 Speaker 1: there was never any Lookie Lose, never just some Joe 99 00:05:01,480 --> 00:05:05,760 Speaker 1: Schmoe with with any sort of even a CB radio 100 00:05:05,880 --> 00:05:08,440 Speaker 1: to figure out where these storms were. That's something we 101 00:05:08,520 --> 00:05:10,720 Speaker 1: never had to deal with. So you know that's scene 102 00:05:10,800 --> 00:05:13,600 Speaker 1: from the movie Twisters where there's hundreds of people in 103 00:05:13,640 --> 00:05:16,640 Speaker 1: a parking lot and they're all, you know, tourists. That's 104 00:05:16,640 --> 00:05:17,240 Speaker 1: a real thing. 105 00:05:18,279 --> 00:05:20,680 Speaker 3: Absolutely, I actually joke. I mean at this point, I've 106 00:05:20,720 --> 00:05:23,680 Speaker 3: seen the movie three times. It's tons of fun. You know, 107 00:05:23,880 --> 00:05:25,800 Speaker 3: if you haven't seen it, definitely go watch it. Go 108 00:05:25,880 --> 00:05:26,560 Speaker 3: watch it again. 109 00:05:26,720 --> 00:05:29,000 Speaker 1: It's a great ride. It's I've seen it twice already. 110 00:05:29,040 --> 00:05:30,400 Speaker 1: I'm not gonna lie. I've seen it twice. 111 00:05:30,480 --> 00:05:31,160 Speaker 2: Perfect. 112 00:05:31,440 --> 00:05:34,880 Speaker 3: The most unrealistic part of that movie when they're doing 113 00:05:34,920 --> 00:05:38,480 Speaker 3: the different chase scenes and it's only like the storm 114 00:05:38,480 --> 00:05:41,120 Speaker 3: par vehicles or Tyler's team on the road, Like that 115 00:05:41,320 --> 00:05:44,080 Speaker 3: is never the case in the real world. There are 116 00:05:44,240 --> 00:05:46,920 Speaker 3: so many people that are out on these storms, and 117 00:05:47,000 --> 00:05:49,719 Speaker 3: with social media and YouTube and you know, all of 118 00:05:49,760 --> 00:05:53,520 Speaker 3: these different streaming platforms like Twitch and things, everybody now 119 00:05:53,600 --> 00:05:56,640 Speaker 3: has access to that high quality imagery. I used to 120 00:05:56,640 --> 00:06:00,120 Speaker 3: go out with like a DSLR camera and now you 121 00:06:00,160 --> 00:06:02,600 Speaker 3: just take my phone because it takes better photos than 122 00:06:02,640 --> 00:06:05,480 Speaker 3: I could on a DSLR. Right, So it's really easy 123 00:06:05,560 --> 00:06:08,360 Speaker 3: for people to go out and put themselves in those positions, 124 00:06:08,560 --> 00:06:11,240 Speaker 3: but it can also be really like dangerous, right, because 125 00:06:11,279 --> 00:06:13,000 Speaker 3: if you don't know what you're doing, it's really easy 126 00:06:13,040 --> 00:06:15,240 Speaker 3: to get yourself into a position that you really shouldn't 127 00:06:15,279 --> 00:06:17,719 Speaker 3: be in, and you're kind of like flirting with things 128 00:06:17,720 --> 00:06:20,400 Speaker 3: that could like ultimately cause like a lot of harm. 129 00:06:20,160 --> 00:06:23,240 Speaker 1: Or these things are very deadly. Yeah, like yeah, this 130 00:06:23,320 --> 00:06:26,880 Speaker 1: kind of reminds me Sean of Mount Everest, which was 131 00:06:26,920 --> 00:06:30,000 Speaker 1: this elusive mountain and very few people would climb it. 132 00:06:30,040 --> 00:06:32,719 Speaker 1: And now you see these videos and it looks like 133 00:06:32,720 --> 00:06:36,279 Speaker 1: a day at the mall. There are hundreds and hundreds 134 00:06:36,320 --> 00:06:40,200 Speaker 1: of people lined up with sherpas, et cetera, and it's 135 00:06:40,640 --> 00:06:43,240 Speaker 1: it's almost lost some of the purity and the sanctity 136 00:06:43,279 --> 00:06:44,640 Speaker 1: of it. And I feel like this is kind of 137 00:06:44,640 --> 00:06:45,280 Speaker 1: the same thing. 138 00:06:46,240 --> 00:06:46,480 Speaker 2: Yeah. 139 00:06:46,520 --> 00:06:50,160 Speaker 3: Absolutely, And I mean if you roll back ten fifteen 140 00:06:50,200 --> 00:06:52,919 Speaker 3: ish years ago, that's when you first started really seeing 141 00:06:52,960 --> 00:06:55,559 Speaker 3: a lot of these storm chasing groups that started popping 142 00:06:55,680 --> 00:06:56,880 Speaker 3: up that offered tours. 143 00:06:57,040 --> 00:06:57,920 Speaker 2: Right, So if you. 144 00:06:57,880 --> 00:06:59,520 Speaker 3: Didn't know what you were doing, and you wanted to 145 00:06:59,560 --> 00:07:01,480 Speaker 3: go out and wanted to see severe weather, you can 146 00:07:01,520 --> 00:07:04,320 Speaker 3: actually book yourself a tour very similar to like a 147 00:07:04,400 --> 00:07:05,719 Speaker 3: sherpa on Mount Everest. 148 00:07:05,800 --> 00:07:08,960 Speaker 2: Right. That just encourages people, And that's that's great. You know. 149 00:07:09,000 --> 00:07:11,880 Speaker 3: I love when people get to experience like mother nature 150 00:07:11,920 --> 00:07:15,120 Speaker 3: and weather and all the fascination and beauty that goes 151 00:07:15,240 --> 00:07:19,200 Speaker 3: along with it. But it has some downsides, which is 152 00:07:19,240 --> 00:07:20,600 Speaker 3: that you know a lot of people are like, well, 153 00:07:20,640 --> 00:07:22,240 Speaker 3: I don't need to pay for that. I can just 154 00:07:22,240 --> 00:07:24,160 Speaker 3: go out on my own my own car, right, Like 155 00:07:24,480 --> 00:07:26,960 Speaker 3: I have no training to climb Mount Everest, But nah, 156 00:07:27,040 --> 00:07:28,760 Speaker 3: people do it all the time. So I'll just I'll 157 00:07:28,800 --> 00:07:30,000 Speaker 3: just take a shirp and I'll just take on. 158 00:07:30,280 --> 00:07:32,520 Speaker 1: Me save everybody. A lot of a lot of money. 159 00:07:32,720 --> 00:07:36,600 Speaker 1: Just go rent a house in Oklahoma City for one 160 00:07:36,680 --> 00:07:39,400 Speaker 1: storm season. Trust me, the storms will find you. I 161 00:07:39,400 --> 00:07:42,440 Speaker 1: mean it was every afternoon. I find it crazy that 162 00:07:42,480 --> 00:07:44,200 Speaker 1: people are like, yeah, I'm gonna go find a storm. 163 00:07:44,280 --> 00:07:47,480 Speaker 1: I'm like, I wanted to get away from the tornadoes. 164 00:07:47,960 --> 00:07:48,480 Speaker 3: I grew up me. 165 00:07:48,560 --> 00:07:50,400 Speaker 1: I grew up in Dallas and then lived in Oklahoma 166 00:07:50,400 --> 00:07:53,119 Speaker 1: City for such a long time. Like, man, I'm I'm done. 167 00:07:53,360 --> 00:07:56,280 Speaker 1: I'm happy to be down here in Austin. I'm just below. 168 00:07:56,480 --> 00:07:59,080 Speaker 1: Like we may have like a small little f one 169 00:07:59,200 --> 00:08:01,720 Speaker 1: every now and nothing, you know, not a big deal. 170 00:08:02,120 --> 00:08:04,560 Speaker 1: I think the biggest one dropped many many years ago 171 00:08:04,680 --> 00:08:07,240 Speaker 1: up in Durrell and that was a big one. But yeah, 172 00:08:07,240 --> 00:08:09,160 Speaker 1: for the most part, we're pretty chill down here. 173 00:08:09,960 --> 00:08:11,040 Speaker 2: Yeah, yeah, for sure. 174 00:08:11,960 --> 00:08:14,360 Speaker 1: What are some other things As I'm watching the movie 175 00:08:14,400 --> 00:08:18,880 Speaker 1: and I'm fascinated by this, the juxtaposition to the first 176 00:08:18,880 --> 00:08:24,240 Speaker 1: one to the second one. The second one got very scientific. 177 00:08:24,360 --> 00:08:27,640 Speaker 1: It was really into the science, and the Bill Paxton 178 00:08:28,280 --> 00:08:30,040 Speaker 1: Helen Hunt version was not that. 179 00:08:30,520 --> 00:08:30,760 Speaker 2: Yeah. 180 00:08:30,840 --> 00:08:33,679 Speaker 3: I love the original movie right that came out when 181 00:08:33,679 --> 00:08:35,800 Speaker 3: I was ten. You know, it's something that I've grown 182 00:08:35,840 --> 00:08:36,160 Speaker 3: up with. 183 00:08:36,200 --> 00:08:39,760 Speaker 1: Thanks for dating me, Sean. That's good. I watched was 184 00:08:39,800 --> 00:08:43,520 Speaker 1: three years out of college. 185 00:08:42,640 --> 00:08:46,319 Speaker 3: But going back and watching the original one idiot horribly 186 00:08:46,400 --> 00:08:49,199 Speaker 3: inaccurate as far as science goes. It doesn't really use 187 00:08:49,240 --> 00:08:52,000 Speaker 3: the terminology ride, it doesn't depict things in sort of 188 00:08:52,040 --> 00:08:54,840 Speaker 3: this real world interesting as meteorologists, we make fun of 189 00:08:54,840 --> 00:08:55,199 Speaker 3: it a lot. 190 00:08:55,240 --> 00:08:55,680 Speaker 2: And one of the. 191 00:08:55,960 --> 00:08:58,240 Speaker 3: Best scenes that I can give is when they launched 192 00:08:58,240 --> 00:09:01,000 Speaker 3: Dorothy into the tornado. In the original movie, they show 193 00:09:01,000 --> 00:09:04,360 Speaker 3: a radar image, and most people don't realize that radar 194 00:09:04,400 --> 00:09:09,160 Speaker 3: image is completely wrong. It is a clear air radar image. 195 00:09:09,200 --> 00:09:11,880 Speaker 3: It's velocity data that they just picked at random from 196 00:09:11,880 --> 00:09:12,840 Speaker 3: like a clear air day. 197 00:09:13,120 --> 00:09:16,079 Speaker 2: There's no storms on it. There's definitely no tornado on it. 198 00:09:16,160 --> 00:09:19,000 Speaker 3: So, like anybody that studies radar meteorology like really pays 199 00:09:19,040 --> 00:09:21,360 Speaker 3: attention to little details on things like that, that's a 200 00:09:21,480 --> 00:09:24,320 Speaker 3: huge problem. Right, So when we set out to make 201 00:09:24,360 --> 00:09:26,640 Speaker 3: this movie, we wanted to make sure that there were 202 00:09:26,760 --> 00:09:29,480 Speaker 3: none of those little things that people could nitpick and 203 00:09:29,480 --> 00:09:29,800 Speaker 3: be like. 204 00:09:29,760 --> 00:09:30,760 Speaker 2: Well, this isn't real. 205 00:09:30,920 --> 00:09:31,160 Speaker 3: You know. 206 00:09:31,559 --> 00:09:32,839 Speaker 2: It is a Hollywood movie. 207 00:09:33,000 --> 00:09:35,800 Speaker 3: Yes, it is meant to be dramatic, and it's a 208 00:09:35,880 --> 00:09:38,360 Speaker 3: thrill ride and it's high octane, and therefore it is 209 00:09:38,400 --> 00:09:41,640 Speaker 3: exaggerative in a lot of aspects, but everything that you 210 00:09:41,679 --> 00:09:44,120 Speaker 3: see in the movie is either based on real science, 211 00:09:44,480 --> 00:09:48,560 Speaker 3: real theory, or real like equipment, technology, tools, things like 212 00:09:48,600 --> 00:09:50,120 Speaker 3: that that we use in the real world. And we 213 00:09:50,480 --> 00:09:52,960 Speaker 3: tried to make it as authentic as possible, and I 214 00:09:53,000 --> 00:09:55,840 Speaker 3: think the results are kind of speaking for themselves, right. Everybody, 215 00:09:55,920 --> 00:10:08,600 Speaker 3: meteorologists and non alike, just love the movie. 216 00:10:10,640 --> 00:10:13,160 Speaker 1: There's a podcast I love that Bill Simmons and his 217 00:10:13,200 --> 00:10:16,760 Speaker 1: crew do called the Rewatchables, And one of the things 218 00:10:16,760 --> 00:10:18,920 Speaker 1: they talk about in the Rewatchables is are these people 219 00:10:18,960 --> 00:10:21,000 Speaker 1: actually is good at their jobs? You know, at the 220 00:10:21,080 --> 00:10:23,120 Speaker 1: end of the day, are they really good? And one 221 00:10:23,120 --> 00:10:26,760 Speaker 1: of the things about Twister and Twisters, as I was 222 00:10:26,800 --> 00:10:28,640 Speaker 1: talking about it with my wife, I'm like, you know, 223 00:10:29,320 --> 00:10:32,160 Speaker 1: if you keep putting yourself right in front of a 224 00:10:32,200 --> 00:10:35,240 Speaker 1: tornado coming at you, and you keep getting hit by 225 00:10:35,280 --> 00:10:37,640 Speaker 1: this tornado, at some point you have to think, am 226 00:10:37,720 --> 00:10:40,400 Speaker 1: I good at my job? That is one of the 227 00:10:40,400 --> 00:10:43,559 Speaker 1: things that I think I told her is very exaggerated. 228 00:10:43,760 --> 00:10:45,800 Speaker 1: I said, the goal of a chaser is not to 229 00:10:45,800 --> 00:10:48,520 Speaker 1: get in front and sit in a tornado. You actually 230 00:10:48,520 --> 00:10:49,679 Speaker 1: want to not do that? 231 00:10:50,080 --> 00:10:52,280 Speaker 3: Right? Yeah, most people, if you're going out of you're 232 00:10:52,320 --> 00:10:54,880 Speaker 3: chasing and you want to get good photos. It's really 233 00:10:54,920 --> 00:10:58,160 Speaker 3: not that exciting to get a photo inside a tornado. 234 00:10:58,240 --> 00:11:01,400 Speaker 3: Like you can't see anything just very you know, right, 235 00:11:01,520 --> 00:11:04,640 Speaker 3: like okay, like wow, like that's a big adrenaline rush. Sure, 236 00:11:04,720 --> 00:11:07,400 Speaker 3: but like picture wise, like no hold me back. I 237 00:11:07,440 --> 00:11:09,000 Speaker 3: want to be able to see the structure and the 238 00:11:09,040 --> 00:11:11,480 Speaker 3: whole tornado and that sort of thing. And the research 239 00:11:11,559 --> 00:11:14,360 Speaker 3: that we do here at Noah's National Spear Storms Laboratory 240 00:11:14,440 --> 00:11:17,520 Speaker 3: doesn't involve driving into tornadoes. We may get close, but 241 00:11:17,559 --> 00:11:21,079 Speaker 3: we're trying to understand the characteristics that are feeding that storm. 242 00:11:21,160 --> 00:11:24,520 Speaker 3: Right Driving into it and taking observations inside something as 243 00:11:24,559 --> 00:11:26,280 Speaker 3: complex as a tornado. 244 00:11:26,440 --> 00:11:27,880 Speaker 2: Doesn't really help us a whole lot. 245 00:11:27,920 --> 00:11:30,440 Speaker 3: It doesn't tell us the whole picture. So like they're 246 00:11:30,480 --> 00:11:33,920 Speaker 3: neat observations, sure, but like that's not really advancing the 247 00:11:33,960 --> 00:11:35,440 Speaker 3: science and our understanding of So. 248 00:11:35,480 --> 00:11:39,520 Speaker 1: You're telling me you've never shot fireworks into a tornado? 249 00:11:40,160 --> 00:11:41,720 Speaker 2: Not yet? But you know how many. 250 00:11:41,480 --> 00:11:44,560 Speaker 3: People I've had say like, hey, was that you? Like 251 00:11:44,640 --> 00:11:46,520 Speaker 3: did you give them that idea in the movie. I 252 00:11:46,600 --> 00:11:48,880 Speaker 3: may have a habit of playing with fireworks around the 253 00:11:48,880 --> 00:11:52,679 Speaker 3: fourth of July. I give it a year somebody's going 254 00:11:52,720 --> 00:11:54,599 Speaker 3: to do it right, somebody's going to describe it. 255 00:11:54,720 --> 00:11:56,600 Speaker 1: I do love the fact that they called you guys, 256 00:11:56,640 --> 00:12:02,160 Speaker 1: the real guys into technically thighs on this film and 257 00:12:02,600 --> 00:12:04,160 Speaker 1: what were the things that you found that you were 258 00:12:04,200 --> 00:12:06,760 Speaker 1: telling them in particular. And I love the fact that 259 00:12:06,800 --> 00:12:09,120 Speaker 1: they said, no, I want, we want to come stormchasing 260 00:12:09,120 --> 00:12:09,360 Speaker 1: with you. 261 00:12:09,800 --> 00:12:12,600 Speaker 3: Yeah, And we tried to make that work during filming, 262 00:12:12,679 --> 00:12:14,960 Speaker 3: right because they were out here during tornado season. It 263 00:12:15,000 --> 00:12:17,800 Speaker 3: was a little flower of the season last year compared 264 00:12:17,800 --> 00:12:20,760 Speaker 3: to this year. But like, can you imagine trying to 265 00:12:20,760 --> 00:12:24,080 Speaker 3: convince Universal Studios to let their multi million dollar talent 266 00:12:24,120 --> 00:12:27,000 Speaker 3: in the middle of filming a movie just disappear for 267 00:12:27,000 --> 00:12:28,840 Speaker 3: a day or two to go driving, you know, after 268 00:12:28,880 --> 00:12:29,400 Speaker 3: a tornado. 269 00:12:29,480 --> 00:12:34,120 Speaker 1: Like they were like noolutely voids of London insurance policy. 270 00:12:34,120 --> 00:12:38,560 Speaker 1: You need on Glenn Powell to drive right into a tornado, right, right. 271 00:12:39,080 --> 00:12:42,719 Speaker 3: So we when we got involved from from the advising 272 00:12:42,800 --> 00:12:46,080 Speaker 3: and technical characteristics of the movie, there's probably not a 273 00:12:46,120 --> 00:12:47,800 Speaker 3: part of the movie, to be honest, that I didn't 274 00:12:47,800 --> 00:12:50,120 Speaker 3: touch me. And I had conversations with Ben Snow and 275 00:12:50,120 --> 00:12:53,120 Speaker 3: Industrial Light and Magic about what Hail looks like, what 276 00:12:53,160 --> 00:12:55,719 Speaker 3: tornadoes should look like. They used a lot of real 277 00:12:55,760 --> 00:12:59,040 Speaker 3: footage from various chasers, including Sean Casey, that got them 278 00:12:59,040 --> 00:13:02,520 Speaker 3: some footage. I had multiple conversations with the cast and 279 00:13:02,559 --> 00:13:06,040 Speaker 3: with the director about terminology tune Day's line that he 280 00:13:06,160 --> 00:13:08,640 Speaker 3: has in there where he's talking about the tornadoes rotating 281 00:13:08,679 --> 00:13:10,760 Speaker 3: around each other, and he's like, there's a term for that. 282 00:13:10,800 --> 00:13:12,800 Speaker 2: There's a term for that. Oh, who do you are? Effect? 283 00:13:12,800 --> 00:13:14,880 Speaker 3: You know, that was something that I gave them that 284 00:13:14,920 --> 00:13:18,200 Speaker 3: they absolutely loved because it's so nerdy and cool in 285 00:13:18,240 --> 00:13:20,800 Speaker 3: the moment that you know, he got really excited about it, 286 00:13:20,840 --> 00:13:24,000 Speaker 3: but they also deeply wanted to learn, like they really 287 00:13:24,040 --> 00:13:25,080 Speaker 3: wanted to know what. 288 00:13:25,040 --> 00:13:25,760 Speaker 2: All this meant. 289 00:13:26,040 --> 00:13:28,640 Speaker 3: I taught Tunday how to do hand analysis like in 290 00:13:28,679 --> 00:13:31,679 Speaker 3: the old days, right, So they were soaking in all 291 00:13:31,679 --> 00:13:35,600 Speaker 3: this information, helping the playback group pick the radar imagery 292 00:13:35,679 --> 00:13:37,640 Speaker 3: that they were going to use. All the radar data 293 00:13:37,640 --> 00:13:39,679 Speaker 3: that you see I hand selected so. 294 00:13:39,640 --> 00:13:42,720 Speaker 1: It matches up to the storm you're seeing exactly, right. 295 00:13:42,679 --> 00:13:45,720 Speaker 3: Like those are real radar data cases from real events 296 00:13:46,120 --> 00:13:48,560 Speaker 3: that in some way mirror what was supposed to be 297 00:13:48,640 --> 00:13:51,200 Speaker 3: happening in the film, so that it's very real and 298 00:13:51,240 --> 00:13:54,240 Speaker 3: it's very authentic, and I think all that basically brings 299 00:13:54,240 --> 00:13:57,199 Speaker 3: it together to tell a really accurate picture of kind 300 00:13:57,200 --> 00:13:58,520 Speaker 3: of what this world and what this. 301 00:13:58,520 --> 00:14:01,319 Speaker 1: Environment is like working with you know, especially the two 302 00:14:01,360 --> 00:14:06,360 Speaker 1: main leads in Daisy and Glenn were either one of 303 00:14:06,400 --> 00:14:10,959 Speaker 1: them in particular really nerdy and into this and really 304 00:14:11,000 --> 00:14:13,240 Speaker 1: wanted to hear like all the stories and the science 305 00:14:13,240 --> 00:14:13,920 Speaker 1: and all that stuff. 306 00:14:14,640 --> 00:14:18,679 Speaker 3: Daisy especially was incredibly inquisitive when it came to this 307 00:14:18,800 --> 00:14:19,280 Speaker 3: kind of stuff. 308 00:14:19,320 --> 00:14:20,160 Speaker 2: We actually did. 309 00:14:20,280 --> 00:14:22,600 Speaker 3: We brought them here to the Weathers Center and Rick 310 00:14:22,680 --> 00:14:26,720 Speaker 3: Smith at the National Weather Center here he works for 311 00:14:26,800 --> 00:14:31,480 Speaker 3: the OU Office for the National Weather Service. He actually 312 00:14:31,520 --> 00:14:34,400 Speaker 3: gave them like a crash course in severe weather and 313 00:14:34,440 --> 00:14:35,880 Speaker 3: storm chasing and meteorology. 314 00:14:35,880 --> 00:14:37,040 Speaker 2: It was like a two hour long course. 315 00:14:37,240 --> 00:14:40,120 Speaker 3: Daisy brought a notebook and she was like taking notes 316 00:14:40,160 --> 00:14:43,600 Speaker 3: like she was in class, right, Like they so just 317 00:14:43,880 --> 00:14:46,720 Speaker 3: love being able to immerse themselves in it. Glenn was 318 00:14:46,760 --> 00:14:49,320 Speaker 3: constantly texting me, Hey, what does this mean? 319 00:14:49,520 --> 00:14:50,360 Speaker 2: Like this term? 320 00:14:50,440 --> 00:14:52,800 Speaker 3: Like? Am I using this right? This is what it's 321 00:14:52,800 --> 00:14:55,240 Speaker 3: supposed to look like in this environment? What's a good 322 00:14:55,280 --> 00:14:59,120 Speaker 3: phrase for this? How should I act? Brandon Perea, he 323 00:14:59,240 --> 00:15:02,160 Speaker 3: did an incredible job with his character Boon and really 324 00:15:02,200 --> 00:15:04,800 Speaker 3: bringing that kind of love and excitement to the film, 325 00:15:04,920 --> 00:15:08,000 Speaker 3: and he was just as enthusiastic about learning like what 326 00:15:08,080 --> 00:15:10,120 Speaker 3: meteorology is and how do we do all this kind 327 00:15:10,120 --> 00:15:12,640 Speaker 3: of stuff and then being able to take them chasing. 328 00:15:12,720 --> 00:15:15,360 Speaker 3: This year in April, it ended up not being a 329 00:15:15,360 --> 00:15:17,480 Speaker 3: big day, Like it looked great a couple of days 330 00:15:17,520 --> 00:15:19,840 Speaker 3: out and then by the time you get the engine rolling, 331 00:15:19,960 --> 00:15:21,320 Speaker 3: you know, of getting everybody out. 332 00:15:21,200 --> 00:15:22,120 Speaker 2: Here, it kind of fell apart. 333 00:15:22,480 --> 00:15:24,400 Speaker 3: But we made the best of the day and they 334 00:15:24,560 --> 00:15:25,680 Speaker 3: really loved just. 335 00:15:25,800 --> 00:15:27,600 Speaker 2: Being all of that kind of come. 336 00:15:27,400 --> 00:15:31,200 Speaker 3: Together and really like going out and being in Southwest Kansas, 337 00:15:31,280 --> 00:15:33,080 Speaker 3: and I think probably doubting me for a good bit 338 00:15:33,120 --> 00:15:34,680 Speaker 3: of the day that there were going to be storms, 339 00:15:35,000 --> 00:15:37,800 Speaker 3: and then seeing storms just explode into the evening and 340 00:15:37,840 --> 00:15:39,880 Speaker 3: all this structure and lightning and stuff that they hadn't 341 00:15:39,880 --> 00:15:40,360 Speaker 3: seen before. 342 00:15:40,400 --> 00:15:41,320 Speaker 2: It was an incredible liace. 343 00:15:41,400 --> 00:15:46,680 Speaker 1: So post movie release, Daisy and Glenn go to Kansas 344 00:15:47,400 --> 00:15:49,080 Speaker 1: and go storm chasing with you. 345 00:15:49,320 --> 00:15:50,360 Speaker 2: Yeah, so we went. 346 00:15:50,400 --> 00:15:53,080 Speaker 3: I think it was April fifteenth this year. We were 347 00:15:53,160 --> 00:15:56,080 Speaker 3: up in Southwest Kansas. It was a really late nocturnal 348 00:15:56,120 --> 00:15:58,760 Speaker 3: event and they had a fighting Keep in mind, this 349 00:15:58,880 --> 00:16:00,720 Speaker 3: was like a one day, thing like they were in 350 00:16:00,760 --> 00:16:04,080 Speaker 3: the middle of doing other stuff dropped, everything came out 351 00:16:04,080 --> 00:16:06,320 Speaker 3: here we went chasing. They had a flight out of 352 00:16:06,320 --> 00:16:09,560 Speaker 3: Oklahoma City at seven am the next morning and like 353 00:16:09,600 --> 00:16:12,240 Speaker 3: eleven o'clock we're up by like Dodge City. 354 00:16:12,680 --> 00:16:15,200 Speaker 2: And I was like, all right, we can call it. 355 00:16:15,360 --> 00:16:17,600 Speaker 3: Like I think there's you know, we're headed in the 356 00:16:17,640 --> 00:16:19,480 Speaker 3: right spot, but like it's getting laid. I know, you 357 00:16:19,480 --> 00:16:21,840 Speaker 3: guys got things to do. And Glenn looked at me 358 00:16:21,880 --> 00:16:23,480 Speaker 3: from the back of the car and was like, I 359 00:16:23,560 --> 00:16:27,400 Speaker 3: will buy property in Southwest Kansas before we call this 360 00:16:27,560 --> 00:16:28,080 Speaker 3: chase off. 361 00:16:28,160 --> 00:16:30,720 Speaker 2: And I was like, Ahi, man, let's going, Like let's 362 00:16:30,840 --> 00:16:31,640 Speaker 2: let's keep going. 363 00:16:31,760 --> 00:16:34,120 Speaker 3: You know. They were so enthusiastic and just wanted to 364 00:16:34,120 --> 00:16:34,720 Speaker 3: soak it all in. 365 00:16:34,800 --> 00:16:35,640 Speaker 2: It was tons of fun. 366 00:16:35,800 --> 00:16:36,120 Speaker 3: It is. 367 00:16:36,800 --> 00:16:40,560 Speaker 1: It's amazing how much it's all changed. I you know, 368 00:16:41,560 --> 00:16:44,880 Speaker 1: one of the last big stories I covered in Oklahoma 369 00:16:44,920 --> 00:16:47,000 Speaker 1: City before I left was the big tornado outbreak in 370 00:16:47,040 --> 00:16:50,880 Speaker 1: May of ninety nine and storm Chasers. It was, you know, 371 00:16:50,920 --> 00:16:55,120 Speaker 1: the biggest tornado day we'd ever had in the history 372 00:16:55,160 --> 00:16:58,200 Speaker 1: of the state, and the big one that came through 373 00:16:58,400 --> 00:17:02,000 Speaker 1: more and teen careerpace in Midwest City del City area 374 00:17:03,080 --> 00:17:05,600 Speaker 1: was late in the afternoon and it was the by 375 00:17:05,600 --> 00:17:07,960 Speaker 1: far the biggest. That was the F five that came through. 376 00:17:08,480 --> 00:17:11,160 Speaker 1: And so the odd thing is I would have never 377 00:17:11,200 --> 00:17:13,400 Speaker 1: been sent out on that story. I was a sportscaster. 378 00:17:13,840 --> 00:17:17,399 Speaker 1: But there was eighty other tornadoes or one hundred, I 379 00:17:17,400 --> 00:17:19,640 Speaker 1: don't know how many were that day, and so by 380 00:17:19,640 --> 00:17:21,480 Speaker 1: the end of the day, I was all that was left. 381 00:17:21,520 --> 00:17:23,520 Speaker 1: And they're like, you got to go, and I'm like, 382 00:17:23,560 --> 00:17:25,679 Speaker 1: what do you mean, I gotta go? And so you know, 383 00:17:25,960 --> 00:17:28,520 Speaker 1: I'm chasing this tornado and we didn't have to dry 384 00:17:28,560 --> 00:17:30,840 Speaker 1: far because again it's very rare that they would rip 385 00:17:30,880 --> 00:17:33,240 Speaker 1: through the middle of Oklahoma City, but this one was 386 00:17:33,359 --> 00:17:37,320 Speaker 1: so big, so destructive it did. And I'll never forget 387 00:17:37,359 --> 00:17:40,600 Speaker 1: because our technology was Gary England was on the air, 388 00:17:41,200 --> 00:17:44,439 Speaker 1: and I've never heard fear in his voice, but that 389 00:17:44,560 --> 00:17:47,480 Speaker 1: one day, it's the only time I've ever heard him say, 390 00:17:47,760 --> 00:17:50,920 Speaker 1: if you cannot get underground, get in your car. You've 391 00:17:50,920 --> 00:17:52,680 Speaker 1: got to get out of there. You're not going to live. 392 00:17:53,680 --> 00:17:55,600 Speaker 1: I've never heard him say that, and I never heard 393 00:17:55,640 --> 00:17:59,200 Speaker 1: him say it since. Because typically you know any new 394 00:17:59,320 --> 00:18:00,800 Speaker 1: or you know weather, so we'll say don't try and 395 00:18:00,800 --> 00:18:04,080 Speaker 1: out drive it. That's a terrible idea. But the other 396 00:18:04,160 --> 00:18:05,840 Speaker 1: part of it that cracked me up is you're talking 397 00:18:05,840 --> 00:18:08,280 Speaker 1: about technology and where we are this. You know, I 398 00:18:08,320 --> 00:18:10,800 Speaker 1: couldn't see in the car, So there was a separate 399 00:18:10,840 --> 00:18:14,080 Speaker 1: meteorologist that would look at a map and kind of 400 00:18:14,160 --> 00:18:16,240 Speaker 1: keep track of where you were and where all the 401 00:18:16,280 --> 00:18:19,600 Speaker 1: stormchasers were, and he would tell you if you were 402 00:18:19,600 --> 00:18:21,800 Speaker 1: in a good position a bad position. So you're just 403 00:18:21,880 --> 00:18:25,080 Speaker 1: hoping that this person was keeping an eye on you 404 00:18:25,560 --> 00:18:27,840 Speaker 1: among fifty other people out in the field, and that 405 00:18:27,920 --> 00:18:29,960 Speaker 1: he was going to keep you out of harm's way. 406 00:18:30,000 --> 00:18:31,160 Speaker 1: It was really archaic. 407 00:18:32,119 --> 00:18:34,960 Speaker 3: Yeah, And I mean nowadays, like everybody's got phones, he's 408 00:18:35,000 --> 00:18:37,959 Speaker 3: got radar imagery, satellite imagery, cell phone, Internet. I mean, 409 00:18:37,960 --> 00:18:41,200 Speaker 3: you have access to so much information that it makes 410 00:18:41,200 --> 00:18:45,560 Speaker 3: you so easy now to go out comparatively and follow 411 00:18:45,600 --> 00:18:47,040 Speaker 3: events like that. And I mean a lot of the 412 00:18:47,080 --> 00:18:49,359 Speaker 3: news networks here in Oklahoma City, like they've got people 413 00:18:49,400 --> 00:18:51,879 Speaker 3: on the ground, they've got holicopiers that are doing it. 414 00:18:51,920 --> 00:18:54,199 Speaker 3: I mean it's nuts, right, Like you look at a 415 00:18:54,200 --> 00:18:58,639 Speaker 3: lot of other like media markets across the country, and 416 00:18:58,680 --> 00:19:02,880 Speaker 3: nobody else has likeing hellicockers that they use. 417 00:19:03,040 --> 00:19:05,080 Speaker 2: It's pretty much just the Oklahoma City area. 418 00:19:05,160 --> 00:19:07,800 Speaker 3: So it's a it's a pretty wild environment down here 419 00:19:07,800 --> 00:19:12,880 Speaker 3: in Oklahoma City, especially central like Oklahoma, Elreno More. We've 420 00:19:12,920 --> 00:19:15,639 Speaker 3: had our fair share of big events in the last 421 00:19:15,680 --> 00:19:17,160 Speaker 3: you know, several decades for sure. 422 00:19:29,160 --> 00:19:32,600 Speaker 1: How have you seen things changed just in the last 423 00:19:32,920 --> 00:19:36,439 Speaker 1: month or so since Twister's no no pun intended dropped 424 00:19:37,240 --> 00:19:40,800 Speaker 1: As far as the excitement of, you know, the weather serve, 425 00:19:40,920 --> 00:19:43,360 Speaker 1: it's got to be fun for you because look, and 426 00:19:43,400 --> 00:19:45,080 Speaker 1: I don't I mean this will all due respect, You're 427 00:19:45,080 --> 00:19:47,960 Speaker 1: a weather nerd. This stuff's fun for you. This is 428 00:19:47,960 --> 00:19:50,320 Speaker 1: your passion, this is your love. And so to see 429 00:19:50,359 --> 00:19:56,040 Speaker 1: everybody else who is outside of Tornado Alley get so 430 00:19:56,240 --> 00:19:58,840 Speaker 1: excited for weather in all this, it's got to be 431 00:19:58,880 --> 00:19:59,560 Speaker 1: kind of fun for you. 432 00:20:00,560 --> 00:20:01,200 Speaker 2: Absolutely. 433 00:20:01,280 --> 00:20:04,080 Speaker 3: I really thrive like being able to talk to people 434 00:20:04,119 --> 00:20:06,560 Speaker 3: about what it is I do and the passion that 435 00:20:06,600 --> 00:20:08,520 Speaker 3: I have for the severe weather work that I do 436 00:20:08,560 --> 00:20:10,840 Speaker 3: and try to understand the environment around us and then 437 00:20:10,880 --> 00:20:14,360 Speaker 3: turn that into warning information and communication information that kind 438 00:20:14,400 --> 00:20:17,760 Speaker 3: of helps save people's lives. Right, And if you roll 439 00:20:17,800 --> 00:20:19,800 Speaker 3: back and you look at the original one thirty years 440 00:20:19,840 --> 00:20:23,720 Speaker 3: ago when that came out, enrollment at OU's undergraduate like 441 00:20:23,840 --> 00:20:25,359 Speaker 3: meteorology program. 442 00:20:25,040 --> 00:20:27,800 Speaker 2: Almost tripled for like twenty years. Right. 443 00:20:27,880 --> 00:20:32,800 Speaker 3: It inspired this absolute like new generation for students coming 444 00:20:32,800 --> 00:20:35,359 Speaker 3: in it saw the movie and that was their like 445 00:20:35,560 --> 00:20:37,679 Speaker 3: tipping point, like, Oh that's so cool, I want to 446 00:20:37,680 --> 00:20:40,600 Speaker 3: go do that. This movie is gonna do the same thing. 447 00:20:41,200 --> 00:20:45,720 Speaker 3: And I feel like honored, like just truly blessed to 448 00:20:45,960 --> 00:20:48,280 Speaker 3: have any hand in that, to be a part of that, 449 00:20:48,720 --> 00:20:51,960 Speaker 3: to have a role in inspiring that next generation of 450 00:20:52,000 --> 00:20:54,520 Speaker 3: students that is going to help us tackle some of 451 00:20:54,560 --> 00:20:57,320 Speaker 3: these difficult problems that we're studying today. Only by like 452 00:20:57,440 --> 00:21:01,280 Speaker 3: collaboratively working together and bringing new perspectives and ideas is 453 00:21:01,320 --> 00:21:04,560 Speaker 3: how we solve big, complex problems like that. And this 454 00:21:04,600 --> 00:21:06,720 Speaker 3: movie is absolutely going to do the same thing that 455 00:21:06,800 --> 00:21:07,520 Speaker 3: the original one did. 456 00:21:07,560 --> 00:21:08,720 Speaker 1: I'll get you out of here with a couple of 457 00:21:08,760 --> 00:21:13,400 Speaker 1: rapid fire questions. Number one, what when you watch the film, 458 00:21:13,760 --> 00:21:16,240 Speaker 1: and again, this is Hollywood, we were all entertained. What 459 00:21:16,320 --> 00:21:20,119 Speaker 1: was the most exaggerated moment where you said, oh, I 460 00:21:20,160 --> 00:21:21,560 Speaker 1: don't know if we can get away with this or 461 00:21:21,640 --> 00:21:23,800 Speaker 1: that's just not really how it's done. 462 00:21:24,040 --> 00:21:26,200 Speaker 3: I mean, aside from the one that I mentioned earlier 463 00:21:26,200 --> 00:21:28,359 Speaker 3: with just the utter lack of traffic on any of 464 00:21:28,359 --> 00:21:33,000 Speaker 3: the vehicles. The most obvious one is obviously killing a tornado. Right, Like, 465 00:21:33,440 --> 00:21:35,480 Speaker 3: there's and there's sort of two questions there. One is 466 00:21:35,560 --> 00:21:37,960 Speaker 3: can we do it? And there's no theory really to 467 00:21:38,040 --> 00:21:40,120 Speaker 3: suggest that we can or that anybody's trying. 468 00:21:40,440 --> 00:21:42,600 Speaker 1: Next question, by the way, can we tame a tornado? 469 00:21:42,960 --> 00:21:47,480 Speaker 3: Right? I'm jumping your question here, But there's a deeper question, 470 00:21:47,560 --> 00:21:49,760 Speaker 3: which is should we even if we. 471 00:21:49,680 --> 00:21:53,360 Speaker 2: Could, interesting, should we be stopping things like that? Right? 472 00:21:53,400 --> 00:21:56,560 Speaker 3: Because the weather as we experienced it, every heat wave, 473 00:21:56,640 --> 00:22:00,520 Speaker 3: every cold front, every raindrop, hailstone, tornado, hurricane, all of 474 00:22:00,520 --> 00:22:04,280 Speaker 3: that is a balancing act of the Earth trying to 475 00:22:04,520 --> 00:22:08,399 Speaker 3: redistribute energy. Right, It's all a consequence of it trying 476 00:22:08,400 --> 00:22:11,480 Speaker 3: to like return to a neutral state. If you throw 477 00:22:11,560 --> 00:22:15,359 Speaker 3: a wrench into that engine, what's gonna happen? Right, Because 478 00:22:15,400 --> 00:22:19,040 Speaker 3: we really don't understand how that complexity works. Yeah, So 479 00:22:19,040 --> 00:22:21,159 Speaker 3: if we start screwing around with things like trying to 480 00:22:21,160 --> 00:22:24,880 Speaker 3: stop a tornado that's attempting to release energy, you're now 481 00:22:25,200 --> 00:22:27,040 Speaker 3: charging the battery so to speak. 482 00:22:27,119 --> 00:22:28,600 Speaker 2: Right, where's that energy going to go? 483 00:22:28,760 --> 00:22:30,000 Speaker 1: What's the butterfly effect of that? 484 00:22:30,320 --> 00:22:32,280 Speaker 2: Absolutely? What's it going to do? Downstream? 485 00:22:32,359 --> 00:22:34,159 Speaker 3: So there's a lot of interesting questions with that, but 486 00:22:34,200 --> 00:22:37,160 Speaker 3: that's probably the most over the top exaggerated thing out 487 00:22:37,160 --> 00:22:39,120 Speaker 3: of the movie is, you know, killing a tornado. 488 00:22:39,359 --> 00:22:43,919 Speaker 1: Glenn Pal's truck that you know, digs down like a 489 00:22:43,960 --> 00:22:47,280 Speaker 1: foot into soft dirt and he pulls into a tornado. 490 00:22:47,920 --> 00:22:50,800 Speaker 1: First of all, the shrapnel, there's no two by fours 491 00:22:50,840 --> 00:22:52,800 Speaker 1: going through the side of his car, and he's not 492 00:22:52,840 --> 00:22:55,000 Speaker 1: being thrown around. Pretty unrealistic. 493 00:22:55,080 --> 00:22:57,760 Speaker 4: Yeah, yeah, And I mean there's a few people that 494 00:22:57,800 --> 00:23:00,159 Speaker 4: have what I'm gonna call tornado tanks right that that 495 00:23:00,240 --> 00:23:03,080 Speaker 4: do try to drive into tornadoes, and they're moderately successful 496 00:23:03,080 --> 00:23:05,360 Speaker 4: at those, but there's a hidden limit. 497 00:23:05,160 --> 00:23:06,919 Speaker 3: In there that they don't really talk about, which is 498 00:23:06,920 --> 00:23:09,960 Speaker 3: that they largely do lower end tornadoes. And it's not 499 00:23:10,080 --> 00:23:12,520 Speaker 3: the wind that's the problem, like you said, it's what's 500 00:23:12,600 --> 00:23:14,679 Speaker 3: in the wind, right, Like your car could probably take 501 00:23:14,720 --> 00:23:16,639 Speaker 3: one hundred and sixty mile an hour wind, it's not 502 00:23:16,720 --> 00:23:18,359 Speaker 3: going to take it two by four hitting your car 503 00:23:18,400 --> 00:23:21,840 Speaker 3: at ninety So like that debris is what really starts 504 00:23:21,840 --> 00:23:24,040 Speaker 3: to cause a lot of issues. And Tyler Struck certainly 505 00:23:24,080 --> 00:23:26,520 Speaker 3: survives most of those tornadoes. 506 00:23:26,119 --> 00:23:27,720 Speaker 2: Without having anything hit it. 507 00:23:27,800 --> 00:23:30,640 Speaker 3: But you do see at the after the final sequence 508 00:23:30,640 --> 00:23:33,800 Speaker 3: when they do some close ups, there's pin cushion stuff 509 00:23:33,840 --> 00:23:34,480 Speaker 3: all over the. 510 00:23:34,800 --> 00:23:37,720 Speaker 2: Inside of that to kind of stimulate that debris stuff. Yeah. 511 00:23:37,760 --> 00:23:39,880 Speaker 1: Then, and I know things have advanced, So I guess 512 00:23:39,960 --> 00:23:42,120 Speaker 1: my last question is I was going to piggyback off, 513 00:23:42,280 --> 00:23:43,600 Speaker 1: you know, can we tame a tornado? 514 00:23:43,760 --> 00:23:43,879 Speaker 2: Is? 515 00:23:44,400 --> 00:23:47,840 Speaker 1: What are we trying to do? You know, yes, warning 516 00:23:47,880 --> 00:23:50,439 Speaker 1: systems have gotten better, but as someone who grew up 517 00:23:50,440 --> 00:23:55,919 Speaker 1: in Tornado Alley and still essentially lives here, things haven't 518 00:23:56,000 --> 00:23:58,120 Speaker 1: gotten that much more advanced. 519 00:23:58,119 --> 00:23:58,280 Speaker 2: You know. 520 00:23:58,359 --> 00:24:00,359 Speaker 1: You know, we see the hook echo, you can kind 521 00:24:00,359 --> 00:24:02,359 Speaker 1: of see these storms come in, but really when and 522 00:24:02,400 --> 00:24:05,960 Speaker 1: where they drop and why is still a bit of 523 00:24:06,000 --> 00:24:07,639 Speaker 1: a mystery at this point. 524 00:24:08,000 --> 00:24:08,640 Speaker 2: Absolutely. 525 00:24:08,680 --> 00:24:11,520 Speaker 3: I mean, twenty thirty years ago, average warning lead time 526 00:24:11,680 --> 00:24:14,560 Speaker 3: was like a minute or two for tornado warnings, right 527 00:24:14,600 --> 00:24:17,000 Speaker 3: most of them were either unwarned or you had no. 528 00:24:17,040 --> 00:24:17,920 Speaker 2: Warning at all. 529 00:24:18,160 --> 00:24:21,560 Speaker 3: Right Now, our average warning time is like thirteen minutes. 530 00:24:21,600 --> 00:24:23,840 Speaker 3: I mean, it's a pretty good amount of time, to 531 00:24:23,880 --> 00:24:26,199 Speaker 3: the point where we actually have people from a social 532 00:24:26,240 --> 00:24:28,359 Speaker 3: science perspective that are trying to figure out, if we 533 00:24:28,400 --> 00:24:28,919 Speaker 3: give you. 534 00:24:28,800 --> 00:24:30,640 Speaker 2: More time, is that a good thing? Yeah? 535 00:24:30,640 --> 00:24:33,480 Speaker 3: Because then people start like, oh, well, I got twenty minutes. 536 00:24:33,520 --> 00:24:35,240 Speaker 3: You know, I can worry about that later. Well. 537 00:24:35,240 --> 00:24:37,480 Speaker 1: It was kind of the scene in the film I 538 00:24:37,480 --> 00:24:39,480 Speaker 1: thought was very poignant was they were in they ran 539 00:24:39,560 --> 00:24:41,480 Speaker 1: into that motel, and the girl goes, oh, no, these 540 00:24:41,520 --> 00:24:44,040 Speaker 1: are always fifth warnings. Don't worry about it. You know. 541 00:24:44,160 --> 00:24:46,520 Speaker 1: We get kind of lase fair about this stuff. 542 00:24:47,240 --> 00:24:50,199 Speaker 3: Absolutely, and that's one of the big like markers of 543 00:24:50,280 --> 00:24:53,560 Speaker 3: things that we're trying to handle today. We know large 544 00:24:53,560 --> 00:24:57,879 Speaker 3: scale conditions that are largely conducive for tornadoes, right what 545 00:24:57,960 --> 00:25:00,920 Speaker 3: we don't know is why one stor in that environment 546 00:25:00,960 --> 00:25:03,760 Speaker 3: will produce one and one won't even though they're in 547 00:25:03,760 --> 00:25:05,960 Speaker 3: the same environment, Or why one storm has got a 548 00:25:06,000 --> 00:25:08,480 Speaker 3: tornado that's like ten yards wide and was on the 549 00:25:08,480 --> 00:25:11,320 Speaker 3: ground for four seconds, but twenty miles away is a 550 00:25:11,359 --> 00:25:13,479 Speaker 3: storm that's got a tornado that's two miles wide has 551 00:25:13,520 --> 00:25:15,280 Speaker 3: been on the ground for forty five minutes. We don't 552 00:25:15,359 --> 00:25:18,639 Speaker 3: understand the difference that's causing those, and in that we 553 00:25:18,760 --> 00:25:23,399 Speaker 3: also don't quite know how to decrease that false alarm ratio. 554 00:25:23,480 --> 00:25:27,000 Speaker 3: Most of our tornadoes nowadays are warned, But the other 555 00:25:27,080 --> 00:25:28,880 Speaker 3: side of that is that we also have a lot 556 00:25:28,880 --> 00:25:31,680 Speaker 3: of false alarms along with you, and we want to 557 00:25:31,720 --> 00:25:34,000 Speaker 3: avoid that cry wolf situation. So a lot of the 558 00:25:34,119 --> 00:25:36,160 Speaker 3: work that we're doing now and the research that we're 559 00:25:36,200 --> 00:25:39,320 Speaker 3: doing here at no a's National Sphere Storms Laboratory, is 560 00:25:39,359 --> 00:25:44,680 Speaker 3: trying to understand why individual storms produce tornadoes, what causes 561 00:25:44,720 --> 00:25:48,400 Speaker 3: them to be so large and variable, and then ultimately 562 00:25:48,440 --> 00:25:51,040 Speaker 3: what causes them to dissipate. That's a process we really 563 00:25:51,080 --> 00:25:53,200 Speaker 3: don't understand and that's a lot of our focus today. 564 00:25:53,280 --> 00:25:55,320 Speaker 1: Well, worst case scenario and I'll just say this is 565 00:25:55,359 --> 00:25:58,480 Speaker 1: my PSA, go spend thirty minutes in a bathtub, in 566 00:25:58,520 --> 00:26:01,800 Speaker 1: your closet or in your storm shelter. You'll be glad 567 00:26:01,840 --> 00:26:05,520 Speaker 1: you did it just in case. Absolutely, you and I 568 00:26:05,520 --> 00:26:07,399 Speaker 1: have both seen the destruction of these things and you 569 00:26:07,440 --> 00:26:08,760 Speaker 1: do not want to be on the back end of 570 00:26:09,440 --> 00:26:13,119 Speaker 1: one that comes through your house. But John, I appreciate 571 00:26:13,119 --> 00:26:13,680 Speaker 1: it very much. 572 00:26:13,720 --> 00:26:13,880 Speaker 3: Man. 573 00:26:13,920 --> 00:26:18,199 Speaker 1: It's you know, the film was brilliant and you're the 574 00:26:18,240 --> 00:26:21,000 Speaker 1: expertise you added and that layer that you guys added, 575 00:26:21,200 --> 00:26:24,359 Speaker 1: there was a discernible difference between that first one in 576 00:26:24,440 --> 00:26:27,119 Speaker 1: ninety six with Bill Paxton and what was done with 577 00:26:27,200 --> 00:26:29,680 Speaker 1: Glenn Palell and Daisy on this one, and so well done. 578 00:26:30,600 --> 00:26:32,959 Speaker 3: Yeah, I have a ton of fun making it. I know, 579 00:26:33,000 --> 00:26:35,040 Speaker 3: the cast and the crew really enjoyed it. And at 580 00:26:35,040 --> 00:26:37,159 Speaker 3: the end of the day, honestly, these are friends and 581 00:26:37,240 --> 00:26:41,080 Speaker 3: family to me now, like everybody was so connected, and really, 582 00:26:41,160 --> 00:26:43,640 Speaker 3: you know, Isaac has said this several times, he really 583 00:26:43,720 --> 00:26:47,080 Speaker 3: wanted to bring out that Oklahoma spirit, you know, that 584 00:26:47,119 --> 00:26:50,800 Speaker 3: resiliency that you see after you know, horrible events like these, 585 00:26:50,880 --> 00:26:52,200 Speaker 3: you know, types of events that happened. 586 00:26:52,280 --> 00:26:54,480 Speaker 2: It actually tends to bring out the best. 587 00:26:54,440 --> 00:26:57,679 Speaker 3: In communities and in people at large, and he really 588 00:26:57,680 --> 00:27:00,440 Speaker 3: wanted to try to capture that and tell that in story, 589 00:27:00,440 --> 00:27:02,159 Speaker 3: and I think he did an incredible job with that. 590 00:27:02,520 --> 00:27:07,360 Speaker 1: One of my most memorable moments wasn't you know April nineteenth, 591 00:27:07,359 --> 00:27:10,240 Speaker 1: after the Murrah Federal Building bombing in ninety five, or 592 00:27:10,280 --> 00:27:12,879 Speaker 1: even the tornadoes in ninety nine. It was the days 593 00:27:12,920 --> 00:27:15,760 Speaker 1: that followed, in the outpouring of love of Oklahoma's and 594 00:27:15,760 --> 00:27:18,119 Speaker 1: how people come together. And then in the days that 595 00:27:18,200 --> 00:27:20,800 Speaker 1: followed that tornado outbreak. I remember I would be out 596 00:27:20,840 --> 00:27:22,679 Speaker 1: in front of Channel nine and we set up all 597 00:27:22,720 --> 00:27:25,680 Speaker 1: these trucks and feed the children was there and people 598 00:27:25,680 --> 00:27:29,119 Speaker 1: were just filling trucks full of clothes and donations and 599 00:27:29,160 --> 00:27:32,080 Speaker 1: you're right that that's showing that community, and it struck me. 600 00:27:32,119 --> 00:27:34,879 Speaker 1: I had a good friend, a fraternity brother who passed 601 00:27:34,880 --> 00:27:37,440 Speaker 1: away who lived in Areno. We spent a lot of 602 00:27:37,480 --> 00:27:40,359 Speaker 1: time in Areno, and so for the pin ultimate I 603 00:27:40,400 --> 00:27:42,560 Speaker 1: won't give too much away, no spoilers, but the pin 604 00:27:42,680 --> 00:27:45,880 Speaker 1: ultimate moment happening in Areno was a very very cool 605 00:27:45,920 --> 00:27:46,640 Speaker 1: thing to see. 606 00:27:47,400 --> 00:27:49,200 Speaker 2: Yeah, And I mean, we do a lot of severe 607 00:27:49,240 --> 00:27:49,840 Speaker 2: weatherwork here. 608 00:27:49,880 --> 00:27:52,040 Speaker 3: You know, tornadoes obviously, but I've also done a lot 609 00:27:52,040 --> 00:27:55,399 Speaker 3: of hurricanes, and some of the best in humanity that 610 00:27:55,440 --> 00:27:58,280 Speaker 3: I've seen has come out in hurricane environments. We actually 611 00:27:58,280 --> 00:28:01,240 Speaker 3: got trapped on of what then became an island, you know, 612 00:28:01,320 --> 00:28:03,920 Speaker 3: in North Carolina, because we got cut off by floodwaters, 613 00:28:04,280 --> 00:28:06,800 Speaker 3: and I watched the community come together in a way 614 00:28:06,840 --> 00:28:11,400 Speaker 3: that I'd never seen before. Societal structure disappeared, racial barriers, 615 00:28:11,480 --> 00:28:14,560 Speaker 3: financial barriers, like everybody was just human at that point 616 00:28:14,640 --> 00:28:16,920 Speaker 3: and everybody was working together to help each other out. 617 00:28:16,960 --> 00:28:19,960 Speaker 3: And it's really nice to see things like that nowadays. 618 00:28:20,000 --> 00:28:22,159 Speaker 3: And it's terrible that it brings something, you know, that 619 00:28:22,200 --> 00:28:25,480 Speaker 3: it has something so devastating to have to bring that out. 620 00:28:25,800 --> 00:28:27,320 Speaker 2: But with all the negativity in the world. 621 00:28:27,359 --> 00:28:30,119 Speaker 3: It's really nice sometimes to focus on the good things 622 00:28:30,119 --> 00:28:30,560 Speaker 3: that happen. 623 00:28:30,840 --> 00:28:34,480 Speaker 1: Amazing how mother nature can humble us and then put 624 00:28:34,560 --> 00:28:38,360 Speaker 1: us all on the same level. And No, but the movie. Absolutely, 625 00:28:38,360 --> 00:28:40,440 Speaker 1: if you've not seen Twisters, go see it. I can't 626 00:28:40,440 --> 00:28:43,440 Speaker 1: recommend it enough, and I am biased. I will say 627 00:28:43,480 --> 00:28:45,160 Speaker 1: I spent so much time in Oklahoma. I have so 628 00:28:45,280 --> 00:28:47,920 Speaker 1: much love for the people of Oklahoma. But the soundtrack, 629 00:28:48,360 --> 00:28:51,320 Speaker 1: the acting, the action. You know, one of the things 630 00:28:51,400 --> 00:28:53,760 Speaker 1: I loved about the original was just the pace of 631 00:28:53,800 --> 00:28:55,920 Speaker 1: it was so fast and so crazy, and I love 632 00:28:56,000 --> 00:29:00,000 Speaker 1: that the story felt the same, but it wasn't redundant, 633 00:29:00,280 --> 00:29:02,920 Speaker 1: if that makes sense. They were able to take it 634 00:29:02,920 --> 00:29:05,160 Speaker 1: in a different direction. But then, you know, the Easter eggs. 635 00:29:05,160 --> 00:29:06,640 Speaker 1: If you see the first one, you don't need to 636 00:29:06,640 --> 00:29:08,400 Speaker 1: see the first one, but if you do, there was 637 00:29:08,520 --> 00:29:11,680 Speaker 1: enough Easter eggs in there that were really, really fun 638 00:29:12,200 --> 00:29:15,160 Speaker 1: that just made it a great movie. So congratulations on 639 00:29:15,520 --> 00:29:18,320 Speaker 1: whatever part you had in it. To say you had 640 00:29:18,320 --> 00:29:21,640 Speaker 1: a part is a wonderful thing. It's something that really 641 00:29:21,680 --> 00:29:24,360 Speaker 1: left the market. Hey, you're you're responsible for partly bringing 642 00:29:24,400 --> 00:29:27,800 Speaker 1: back the next Barbenheimer. You know, we have Deadpool and 643 00:29:27,840 --> 00:29:30,120 Speaker 1: Twisters now, right. 644 00:29:29,920 --> 00:29:32,560 Speaker 3: Yeah, no, it's been so much fun. And you know, 645 00:29:32,840 --> 00:29:34,400 Speaker 3: I'm already looking forward to the steeple. 646 00:29:34,480 --> 00:29:36,800 Speaker 1: Let's put it that one always there, by the way, 647 00:29:36,840 --> 00:29:37,680 Speaker 1: is there's going to be another? 648 00:29:38,840 --> 00:29:41,360 Speaker 3: I mean they kind of I mean right, they kind 649 00:29:41,400 --> 00:29:44,120 Speaker 3: of left it out like, yeah, there might be you know, 650 00:29:44,200 --> 00:29:46,520 Speaker 3: so we'll see what Hollywood decides to do with things. 651 00:29:46,840 --> 00:29:49,160 Speaker 3: I think everybody really enjoyed making it, so it would 652 00:29:49,160 --> 00:29:52,320 Speaker 3: not shock me, not that I have any inside information 653 00:29:52,400 --> 00:29:53,800 Speaker 3: at all, but like it would not shine. 654 00:29:53,960 --> 00:29:56,880 Speaker 1: I do have inside information. When a movie does eighty 655 00:29:56,920 --> 00:29:59,440 Speaker 1: point five million in the box office and opening weekend, 656 00:29:59,760 --> 00:30:02,560 Speaker 1: they tend to go back to the well, yeah, yeah, 657 00:30:02,600 --> 00:30:06,960 Speaker 1: there's twisters. There's twisters. Now look forward to twisters. 658 00:30:07,000 --> 00:30:10,000 Speaker 2: Is yeah. I think we just keep adding assets, just 659 00:30:10,040 --> 00:30:12,040 Speaker 2: keep arding uses. Sean. 660 00:30:12,080 --> 00:30:15,040 Speaker 1: I appreciate your time and thanks for looking out for 661 00:30:15,080 --> 00:30:17,960 Speaker 1: everybody and continuing the work you do on a serious note, 662 00:30:18,040 --> 00:30:20,360 Speaker 1: much less helping out one of the great movies. 663 00:30:20,720 --> 00:30:22,720 Speaker 2: Absolutely, thanks for listening. 664 00:30:22,920 --> 00:30:25,520 Speaker 1: Follow us on Instagram at the most dramatic pod ever 665 00:30:25,920 --> 00:30:27,680 Speaker 1: and make sure to write us a review and leave 666 00:30:27,760 --> 00:30:30,160 Speaker 1: us five stars. I'll talk to you next time.