1 00:00:01,040 --> 00:00:06,000 Speaker 1: This is the most dramatic podcast ever and iHeartRadio podcast. 2 00:00:08,160 --> 00:00:10,280 Speaker 1: Chris Harrison Lawrence E. Mc coomedy from the home office 3 00:00:10,280 --> 00:00:14,600 Speaker 1: in Austin, Texas, just outside of Tornado Alley. Technically, the 4 00:00:14,640 --> 00:00:18,560 Speaker 1: reason I bring that up the movie Twisters has dropped 5 00:00:18,840 --> 00:00:21,119 Speaker 1: like an F five tornado that has ripped through the 6 00:00:21,120 --> 00:00:23,800 Speaker 1: box office to the tune of eighty point five million. 7 00:00:24,400 --> 00:00:27,760 Speaker 1: Elsie expectations were a mere fifty million, which would have 8 00:00:27,760 --> 00:00:31,280 Speaker 1: been huge. It's almost doubled that. This is phenomenal. 9 00:00:31,400 --> 00:00:34,040 Speaker 2: I'm so happy about this. Also, we're going to get 10 00:00:34,040 --> 00:00:35,760 Speaker 2: into your knowledge of tornadoes. Is an F five the 11 00:00:35,760 --> 00:00:36,519 Speaker 2: biggest it is. 12 00:00:36,680 --> 00:00:40,839 Speaker 1: Technically, I think there has been whispers of an F 13 00:00:40,960 --> 00:00:41,720 Speaker 1: six wow. 14 00:00:42,560 --> 00:00:44,200 Speaker 2: Twist for Twisters. 15 00:00:44,840 --> 00:00:48,440 Speaker 1: Yes, the next one, Twisters is but this I have 16 00:00:48,560 --> 00:00:51,040 Speaker 1: seen this movie for the record, els has not. I 17 00:00:51,120 --> 00:00:53,519 Speaker 1: am going back to see it with her tomorrow night 18 00:00:53,520 --> 00:00:54,400 Speaker 1: because it's that good. 19 00:00:54,640 --> 00:00:57,960 Speaker 2: Wow. So this makes me so happy. It makes me 20 00:00:58,080 --> 00:01:00,680 Speaker 2: happy when movies do well at the box because I 21 00:01:00,720 --> 00:01:03,000 Speaker 2: love movies and I don't want movies to go away 22 00:01:03,040 --> 00:01:05,240 Speaker 2: as an art. There's a lot of talk in our 23 00:01:05,280 --> 00:01:08,240 Speaker 2: industry right now about how well where people get their 24 00:01:08,360 --> 00:01:12,120 Speaker 2: entertainment is just shifting, like instead of watching comedy movies 25 00:01:12,480 --> 00:01:15,480 Speaker 2: at the theater, people watch comedy on TikTok on the 26 00:01:15,480 --> 00:01:15,960 Speaker 2: one hand. 27 00:01:16,120 --> 00:01:16,560 Speaker 1: True. 28 00:01:17,120 --> 00:01:20,240 Speaker 2: On the other hand, can we know that when we're 29 00:01:20,240 --> 00:01:23,479 Speaker 2: not giving people any good comedies at the box office? 30 00:01:23,680 --> 00:01:26,440 Speaker 2: Like there used to be a different I mean, I'm 31 00:01:26,520 --> 00:01:29,760 Speaker 2: aging myself. I guess I'm a mid thirties millennial, but 32 00:01:29,840 --> 00:01:31,840 Speaker 2: not that long ago. It shows you how quickly things 33 00:01:31,840 --> 00:01:34,360 Speaker 2: have changed. I remember growing up and we would look 34 00:01:34,360 --> 00:01:37,200 Speaker 2: in the newspaper and be like, what's coming out this weekend? 35 00:01:37,440 --> 00:01:40,640 Speaker 2: And look at the show times, and you would regularly say, 36 00:01:40,640 --> 00:01:43,319 Speaker 2: what's coming out this weekend because every weekend there were 37 00:01:43,360 --> 00:01:47,160 Speaker 2: like three new movies out. Now we're so limited, and 38 00:01:47,240 --> 00:01:51,000 Speaker 2: I do think that when a movie like Twisters beats 39 00:01:51,040 --> 00:01:55,200 Speaker 2: expectations hit so big, when it's just fun and joy 40 00:01:55,640 --> 00:01:59,800 Speaker 2: and just a great watch, that people will go see it. 41 00:02:00,000 --> 00:02:02,640 Speaker 2: And we need to get more movies in the theaters 42 00:02:02,800 --> 00:02:05,600 Speaker 2: to give people the opportunity. Because here's the difference for 43 00:02:05,720 --> 00:02:10,200 Speaker 2: me on movies versus thirty second videos on TikTok. TikTok 44 00:02:10,240 --> 00:02:13,040 Speaker 2: can be fun, it's its own thing. I don't think 45 00:02:13,120 --> 00:02:17,280 Speaker 2: that things stick with you in the short form the 46 00:02:17,320 --> 00:02:17,920 Speaker 2: way that they. 47 00:02:17,840 --> 00:02:18,800 Speaker 1: Do like that at all. 48 00:02:18,919 --> 00:02:21,440 Speaker 2: Think about the way we all quote movies. We watch 49 00:02:21,520 --> 00:02:24,000 Speaker 2: movies when we're younger, and we go on quoting them forever, 50 00:02:24,040 --> 00:02:27,880 Speaker 2: and we reference them. And movies can change your outlook. 51 00:02:27,960 --> 00:02:30,960 Speaker 2: They affect you on a deep level. They shape you, 52 00:02:31,360 --> 00:02:32,480 Speaker 2: and I don't want to lose that. 53 00:02:32,960 --> 00:02:33,600 Speaker 1: Now. 54 00:02:33,639 --> 00:02:35,560 Speaker 2: I haven't seen it was Twister's a movie that shapes 55 00:02:35,639 --> 00:02:36,799 Speaker 2: you well. 56 00:02:37,240 --> 00:02:38,919 Speaker 1: I know it should well. But there's going to be 57 00:02:38,919 --> 00:02:40,480 Speaker 1: a line that comes out of this and I can't 58 00:02:40,480 --> 00:02:42,640 Speaker 1: wait for you to see it where Glenn Paalll says, 59 00:02:42,639 --> 00:02:45,640 Speaker 1: have you ever driven a car before? That will last? 60 00:02:45,639 --> 00:02:47,880 Speaker 1: That's going to be one of those levels. It's quotable. 61 00:02:47,880 --> 00:02:50,600 Speaker 1: It's so good. First of all, I think we have 62 00:02:50,680 --> 00:02:52,679 Speaker 1: to acknowledge Glenn Powell is a bona fide star. 63 00:02:52,800 --> 00:02:54,280 Speaker 2: Now he is living for him. 64 00:02:54,480 --> 00:03:00,680 Speaker 1: He is such a a grind for the guy who 65 00:03:00,720 --> 00:03:03,440 Speaker 1: I didn't realize he was a child star, a young. 66 00:03:03,280 --> 00:03:05,320 Speaker 2: Man Jason, one of the Spy Kids movies. I didn't 67 00:03:05,320 --> 00:03:07,080 Speaker 2: realize that either. I knew he'd been in the business 68 00:03:07,080 --> 00:03:09,919 Speaker 2: for about ten years. I didn't know it was longer. 69 00:03:10,120 --> 00:03:14,000 Speaker 1: Taylor, who's twenty years old, our daughter, was like, oh yeah, 70 00:03:14,000 --> 00:03:16,800 Speaker 1: I remember him. And Spy Kids. I didn't realize he 71 00:03:16,840 --> 00:03:20,200 Speaker 1: had been doing this that long, and so, like many 72 00:03:20,280 --> 00:03:22,560 Speaker 1: stories in this business, it took a long time to 73 00:03:22,560 --> 00:03:25,880 Speaker 1: become an overnight sensation. And obviously Top Gun Maverick really 74 00:03:25,919 --> 00:03:27,560 Speaker 1: put him on the scene. He's been buddy, Well. 75 00:03:27,520 --> 00:03:30,280 Speaker 2: He's having his moment, his long a moment he's long 76 00:03:30,320 --> 00:03:30,720 Speaker 2: worked for. 77 00:03:30,880 --> 00:03:34,079 Speaker 1: Hot take. Is this true or not? Is Glenn Powell 78 00:03:34,639 --> 00:03:38,840 Speaker 1: James Marsden that finally got his shot at being a 79 00:03:38,920 --> 00:03:39,480 Speaker 1: leading man? 80 00:03:39,880 --> 00:03:41,280 Speaker 2: Well, I think if you're saying that, then he's not 81 00:03:41,360 --> 00:03:44,960 Speaker 2: James Marsden, because that's James Marsden's whole story. James Marsden 82 00:03:45,080 --> 00:03:47,480 Speaker 2: is always. No. I don't think he is, because what 83 00:03:47,520 --> 00:03:50,720 Speaker 2: movie has has Glenn Powell been this in? James Marsden's 84 00:03:50,760 --> 00:03:53,760 Speaker 2: thing was always he was the super good looking, nice 85 00:03:53,800 --> 00:03:55,800 Speaker 2: guy in the movie who didn't end up with the 86 00:03:55,880 --> 00:03:59,080 Speaker 2: robble loser like the Notebook. There's nothing wrong with him, 87 00:03:59,120 --> 00:04:00,840 Speaker 2: but he didn't get the girl right, and he was 88 00:04:00,920 --> 00:04:03,720 Speaker 2: that in a couple movies. I don't think Glenn Powell's 89 00:04:03,720 --> 00:04:05,440 Speaker 2: been that guy. He's actually the guy who seems to 90 00:04:05,440 --> 00:04:05,920 Speaker 2: get the girl. 91 00:04:06,640 --> 00:04:09,000 Speaker 1: He is now. I just wonder if James Marsden had 92 00:04:09,680 --> 00:04:12,920 Speaker 1: ever gotten his top gun Maverick like a shot to a. 93 00:04:13,160 --> 00:04:15,120 Speaker 2: Like a career shift, a different type of. 94 00:04:15,440 --> 00:04:18,520 Speaker 1: An action star to be so because Glenn Powell and 95 00:04:18,800 --> 00:04:21,159 Speaker 1: I heard somebody else say, this is Glenn Powell the 96 00:04:21,240 --> 00:04:25,520 Speaker 1: new Matthew McConaughey, and that actually tracks he is a Texan. 97 00:04:25,760 --> 00:04:29,839 Speaker 1: Both went to u T. Both have that just big 98 00:04:30,400 --> 00:04:34,000 Speaker 1: thousand watts smile that glean in their eye, that just 99 00:04:34,080 --> 00:04:37,039 Speaker 1: captivates you. Guys want to hang out with them, Women 100 00:04:37,080 --> 00:04:39,720 Speaker 1: want to be with him, that kind of leading man. 101 00:04:39,920 --> 00:04:48,320 Speaker 2: Look, I think he's a baby of Matthew McConaughey, Matt 102 00:04:48,400 --> 00:04:50,640 Speaker 2: Damon and Tom Cruise. 103 00:04:51,360 --> 00:04:53,600 Speaker 1: And his second cousin to James Marsa. 104 00:04:54,120 --> 00:04:57,600 Speaker 2: Well, I don't think he has the like quirky aura 105 00:04:57,720 --> 00:05:00,960 Speaker 2: of Matthew McConaughey. Matthew's kind of got a personality to 106 00:05:01,040 --> 00:05:03,800 Speaker 2: him that I don't think Glen Powell has. And then 107 00:05:04,440 --> 00:05:06,800 Speaker 2: he's got a little bit of action in him because 108 00:05:06,800 --> 00:05:09,280 Speaker 2: of movies like Twisters, so that gives that's a little 109 00:05:09,279 --> 00:05:12,640 Speaker 2: bit that Matt Damon action. And then he's got like 110 00:05:12,880 --> 00:05:17,200 Speaker 2: the appealability, the broad appealability of Tom Cruise, but he 111 00:05:17,279 --> 00:05:19,760 Speaker 2: also has the producer side of him, which both Matt 112 00:05:19,800 --> 00:05:23,039 Speaker 2: Damon and Tom Cruise have done some producing, and on 113 00:05:23,120 --> 00:05:24,760 Speaker 2: that note, I give him the credit. I think the 114 00:05:24,800 --> 00:05:27,599 Speaker 2: reason Glenn Powell is having his moment now is because 115 00:05:27,640 --> 00:05:32,280 Speaker 2: he has taken a very proactive role in being like 116 00:05:32,720 --> 00:05:36,080 Speaker 2: in shaping the parts he's taking the movies he's doing, 117 00:05:37,000 --> 00:05:41,000 Speaker 2: in adding that producer element and like going after like 118 00:05:41,080 --> 00:05:43,640 Speaker 2: he basically and I wonder if Tom Cruise gave him 119 00:05:43,640 --> 00:05:48,240 Speaker 2: this advice because they've become close since Tom actually convinced him. 120 00:05:48,279 --> 00:05:49,760 Speaker 2: Do you know the story that he convinced him to 121 00:05:49,839 --> 00:05:51,400 Speaker 2: do Top Gun Maverick? 122 00:05:51,480 --> 00:05:52,880 Speaker 1: Yeah, because didn't he want another part. 123 00:05:53,040 --> 00:05:55,080 Speaker 2: He wanted the Miles Teller part, and so he wasn't 124 00:05:55,080 --> 00:05:56,840 Speaker 2: going to do it. And Tom Cruise, from I think 125 00:05:56,880 --> 00:05:58,800 Speaker 2: Glenn Powell told the story, called him and said, like, 126 00:05:59,160 --> 00:06:02,080 Speaker 2: take this part, going to be worth it. And I 127 00:06:02,120 --> 00:06:04,520 Speaker 2: think he's taking a page out of Tom Cruise's book 128 00:06:04,600 --> 00:06:07,760 Speaker 2: on just doing movies that people want to see. Like 129 00:06:08,120 --> 00:06:10,919 Speaker 2: he's getting back to I know that sounds simple, but 130 00:06:11,160 --> 00:06:13,640 Speaker 2: he's getting back to like the nineties and early two 131 00:06:13,720 --> 00:06:17,360 Speaker 2: thousands type of movie that I think people have been 132 00:06:17,400 --> 00:06:19,240 Speaker 2: longing for and no one else stepped up to do 133 00:06:19,560 --> 00:06:21,919 Speaker 2: anyone but you was Sidney Sweeney. He gave us a 134 00:06:22,000 --> 00:06:27,120 Speaker 2: rom com Twisters remake. He's giving us a fun, breezy 135 00:06:27,800 --> 00:06:31,080 Speaker 2: or spinny action movie that people wanted to go to 136 00:06:31,120 --> 00:06:32,280 Speaker 2: the movies and escape to see. 137 00:06:32,480 --> 00:06:34,560 Speaker 1: Just want to give a shout out to Daisy Edgar Jones, 138 00:06:34,960 --> 00:06:38,800 Speaker 1: who is his co star, the leading lady in Twisters, 139 00:06:38,880 --> 00:06:43,120 Speaker 1: and she's fantastic. The chemistry between them is great, you 140 00:06:43,240 --> 00:06:47,919 Speaker 1: believe it. Bill Paxton and Helen Hunt were the originals 141 00:06:47,960 --> 00:06:53,280 Speaker 1: in the nineteen ninety six version of Twisters, and their 142 00:06:53,320 --> 00:06:55,800 Speaker 1: chemistry was great. They really played out. And by the way, 143 00:06:55,839 --> 00:06:59,719 Speaker 1: more a tyranny coming in hot with a cameo as 144 00:07:00,040 --> 00:07:01,640 Speaker 1: uh Daisy's mom. 145 00:07:02,000 --> 00:07:07,400 Speaker 2: I love she's so good. Shews a little depth to 146 00:07:07,480 --> 00:07:09,279 Speaker 2: it ravatas she's an actor. 147 00:07:09,440 --> 00:07:11,680 Speaker 1: She's Aunt May. So if you saw the original, there's 148 00:07:11,720 --> 00:07:14,240 Speaker 1: the Aunt May, Helen Hunt's aunt. They did a great 149 00:07:14,320 --> 00:07:17,840 Speaker 1: job of casting Glenn Palell. They let him cook with 150 00:07:17,880 --> 00:07:21,800 Speaker 1: that big smile and you know the Texas sayings. And 151 00:07:22,120 --> 00:07:25,000 Speaker 1: Daisy played her role as the brilliant scientists. 152 00:07:25,080 --> 00:07:27,640 Speaker 2: Very is set in Oklahoma. Of course it is Okay 153 00:07:27,640 --> 00:07:28,880 Speaker 2: an tornado ally so and. 154 00:07:28,960 --> 00:07:30,840 Speaker 1: I have to we'll talk about this of why this 155 00:07:30,920 --> 00:07:33,200 Speaker 1: film means so much to me. This really this was 156 00:07:33,240 --> 00:07:34,440 Speaker 1: an emotional movie to me. 157 00:07:34,800 --> 00:07:37,440 Speaker 2: I want to give props again, like going back to 158 00:07:37,480 --> 00:07:41,000 Speaker 2: the domestic box office take, eighty point five million dollars, 159 00:07:41,360 --> 00:07:45,520 Speaker 2: vastly exceeding expectations, thirty million dollars more than analysts expected. 160 00:07:46,040 --> 00:07:48,440 Speaker 2: And I got to say. We listen to the podcast 161 00:07:48,440 --> 00:07:50,920 Speaker 2: The Town with Matt Bellanie, which I love when he 162 00:07:50,960 --> 00:07:54,280 Speaker 2: has people on, they say this a lot. I like 163 00:07:54,320 --> 00:07:57,200 Speaker 2: that they own it. Analysts really struggle, people who've known 164 00:07:57,240 --> 00:08:01,200 Speaker 2: this industry forever struggle still to know what's going to hit. 165 00:08:01,280 --> 00:08:03,880 Speaker 2: I didn't expect Twisters to be this big. I'm glad 166 00:08:03,920 --> 00:08:07,360 Speaker 2: it is. I want to know why it went even 167 00:08:07,360 --> 00:08:08,280 Speaker 2: bigger than expected. 168 00:08:08,320 --> 00:08:11,040 Speaker 1: The box office reminds me a little bit of political 169 00:08:11,080 --> 00:08:14,560 Speaker 1: polls and also TV ratings. There are seasons of The 170 00:08:14,600 --> 00:08:19,920 Speaker 1: Bachelor that blew up Ali Fedotowski, Sean Lowe. Uh. There 171 00:08:19,920 --> 00:08:22,080 Speaker 1: are seasons that kind of came out of the blue 172 00:08:22,120 --> 00:08:24,400 Speaker 1: and we didn't think we had the goods. We wrapped 173 00:08:24,440 --> 00:08:26,960 Speaker 1: production and thought, oh man, I hope we can save this, 174 00:08:27,080 --> 00:08:29,160 Speaker 1: and post production, I hope we can kind of put 175 00:08:29,160 --> 00:08:31,520 Speaker 1: this thing together. And those turned out to be some 176 00:08:31,560 --> 00:08:36,319 Speaker 1: of our biggest stars in our biggest years, and sometime 177 00:08:36,360 --> 00:08:38,840 Speaker 1: you're a scratching your head of like what And then 178 00:08:38,840 --> 00:08:40,600 Speaker 1: there were and then there were seasons where we thought 179 00:08:40,679 --> 00:08:43,720 Speaker 1: we had it all and then it just went flat. 180 00:08:43,960 --> 00:08:45,920 Speaker 2: Well, now that you have, now that you can look back, 181 00:08:46,080 --> 00:08:49,000 Speaker 2: do you think there was a common thread between those 182 00:08:49,040 --> 00:08:52,160 Speaker 2: seasons where it got way bigger than you expected it 183 00:08:52,200 --> 00:08:54,120 Speaker 2: to be? What was that hit factor? 184 00:08:54,240 --> 00:08:58,760 Speaker 1: For some reason or another, people resonated with the star people. 185 00:08:58,840 --> 00:09:01,040 Speaker 1: That's why I say, Glenn Power, all kudos to you, 186 00:09:01,080 --> 00:09:03,600 Speaker 1: because this was a great remake, but it was Bill 187 00:09:03,640 --> 00:09:06,840 Speaker 1: Paxton's show. Glenn Powell clearly has that draw and so 188 00:09:06,880 --> 00:09:09,920 Speaker 1: does Daisy clearly as the leading lady. We're drawn to him. 189 00:09:10,280 --> 00:09:14,040 Speaker 1: Why did people get drawn to Ali, Sean Lowe, Ben Higgins? 190 00:09:14,080 --> 00:09:15,800 Speaker 1: They did? They? I don't know if they speak to 191 00:09:15,840 --> 00:09:17,800 Speaker 1: the Middle America, maybe Americana. 192 00:09:18,280 --> 00:09:20,880 Speaker 2: Maybe I'm sensing that from that group they maybe we're get. 193 00:09:20,840 --> 00:09:23,320 Speaker 1: Thirsty for this right now in the world. We just 194 00:09:23,320 --> 00:09:26,280 Speaker 1: need to escape. And you you mentioned something to me 195 00:09:26,360 --> 00:09:29,559 Speaker 1: of someone said to the director, why didn't you you know? 196 00:09:29,840 --> 00:09:31,920 Speaker 2: Oh there was there was a headline and I think 197 00:09:31,920 --> 00:09:35,480 Speaker 2: the Hollywood reporter that was why which I love that 198 00:09:35,559 --> 00:09:37,040 Speaker 2: they had to ask him this. It shows you where 199 00:09:37,040 --> 00:09:41,040 Speaker 2: things are why Twisters doesn't address climate change, and the 200 00:09:41,040 --> 00:09:45,040 Speaker 2: director said, movies don't always need to push a message, right, 201 00:09:45,760 --> 00:09:47,559 Speaker 2: And I do think we need to get back to that. 202 00:09:47,600 --> 00:09:49,880 Speaker 2: We got so far away from it. I'm I am 203 00:09:49,920 --> 00:09:53,160 Speaker 2: not saying movies should never have a message. Movies can 204 00:09:53,440 --> 00:09:56,320 Speaker 2: be some of the most powerful message makers out there, 205 00:09:56,920 --> 00:09:59,480 Speaker 2: but it shouldn't be a forced message. It shouldn't be 206 00:09:59,559 --> 00:10:02,319 Speaker 2: we have do have because I know what's been happening. 207 00:10:03,679 --> 00:10:06,080 Speaker 2: Money people in studios have been saying, well, the movie 208 00:10:06,080 --> 00:10:08,320 Speaker 2: needs They think people want something that says something. The 209 00:10:08,320 --> 00:10:10,880 Speaker 2: movie needs to say something, and then it comes across inauthentic. 210 00:10:11,760 --> 00:10:14,680 Speaker 2: Sometimes movies are just fun escapes, and then some movies 211 00:10:14,840 --> 00:10:18,080 Speaker 2: have a meaning and are the most powerful, you know, 212 00:10:18,240 --> 00:10:21,400 Speaker 2: culture shaping forces of our time. But I don't know 213 00:10:21,400 --> 00:10:22,839 Speaker 2: the Twisters needs to be you. 214 00:10:22,760 --> 00:10:25,080 Speaker 1: Know, everything doesn't have to mean everything all the time. 215 00:10:25,240 --> 00:10:27,240 Speaker 1: We can just escape to the movies. That's what we 216 00:10:27,400 --> 00:10:27,840 Speaker 1: used to do. 217 00:10:28,000 --> 00:10:32,360 Speaker 2: But that's interesting because I do think that you know, 218 00:10:32,400 --> 00:10:35,160 Speaker 2: people are now dubbing Glenn Powell a bonafid movie star 219 00:10:35,720 --> 00:10:38,720 Speaker 2: and a big concern people have in Hollywood right now 220 00:10:38,800 --> 00:10:41,560 Speaker 2: is that there are no more movie stars that new 221 00:10:41,600 --> 00:10:44,160 Speaker 2: movie stars haven't been made in recent years. And by 222 00:10:44,160 --> 00:10:48,199 Speaker 2: that they mean people who on their own with their 223 00:10:48,280 --> 00:10:50,520 Speaker 2: name are a draw at the box office. The Tom 224 00:10:50,559 --> 00:10:54,360 Speaker 2: Cruise is, the Denzel Washington's, the Will Smith's, the Tom 225 00:10:54,400 --> 00:10:56,000 Speaker 2: Hanks a box office draw. 226 00:10:56,120 --> 00:10:58,120 Speaker 1: And I will say, we're also getting over the hangover 227 00:10:58,280 --> 00:11:01,200 Speaker 1: of last year's strike and for the first time, we're 228 00:11:01,240 --> 00:11:04,400 Speaker 1: now catching up. And if you go to see Twisters, 229 00:11:04,400 --> 00:11:07,080 Speaker 1: which I really highly recommend you do, you're gonna see 230 00:11:07,080 --> 00:11:11,559 Speaker 1: some great previews to movies that you have not heard of. 231 00:11:11,640 --> 00:11:15,120 Speaker 1: Then they're not Marvel movies, they're not superhero movies. These 232 00:11:15,160 --> 00:11:18,439 Speaker 1: are bona fide good. They look like really good movies 233 00:11:18,720 --> 00:11:20,959 Speaker 1: that I hadn't heard were in the pipeline. And now 234 00:11:21,720 --> 00:11:24,640 Speaker 1: like normal, we're getting introduced to five six new movies 235 00:11:24,679 --> 00:11:27,280 Speaker 1: coming up, and I'm actually excited about the box office. 236 00:11:27,720 --> 00:11:29,400 Speaker 1: We're finally catching back up. 237 00:11:41,080 --> 00:11:42,520 Speaker 2: This is what I wanted to bring up about the 238 00:11:42,520 --> 00:11:48,000 Speaker 2: box office. Twisters eighty point five million. Oppenheimer brought an 239 00:11:48,040 --> 00:11:52,120 Speaker 2: eighty point five million last summer, so same debut as Oppenheimer, 240 00:11:52,440 --> 00:11:56,040 Speaker 2: which wound up to be one of the biggest movies 241 00:11:56,080 --> 00:11:58,600 Speaker 2: of recent years, multiple Academy Award nominations. 242 00:11:58,600 --> 00:12:01,280 Speaker 1: Do you remember what Barbie, dude, I'll look it up. 243 00:12:01,320 --> 00:12:05,600 Speaker 2: But putting Twisters matching Oppenheimer, that's wild. Glenn Poul's got 244 00:12:05,640 --> 00:12:07,760 Speaker 2: to be feeling good. He just matched Christ. 245 00:12:08,360 --> 00:12:12,920 Speaker 1: So here's the early early projection. Could Twisters be the 246 00:12:13,000 --> 00:12:16,360 Speaker 1: Oscars Darling of the year. Never know? And that's what's 247 00:12:16,360 --> 00:12:19,240 Speaker 1: funny is this show. This movie will do hundreds of 248 00:12:19,280 --> 00:12:21,640 Speaker 1: millions of dollars when it's all said and done, but 249 00:12:21,800 --> 00:12:25,080 Speaker 1: it will not get any Oscar noms. Maybe for special 250 00:12:25,080 --> 00:12:26,160 Speaker 1: effects it could do that. 251 00:12:26,280 --> 00:12:29,360 Speaker 2: Barbie kicked both there, but Barbie had a one hundred 252 00:12:29,400 --> 00:12:31,600 Speaker 2: and fifty five million dollar opening weekend. 253 00:12:31,679 --> 00:12:33,880 Speaker 1: Lest Twisters has no help in the box office right now. 254 00:12:33,920 --> 00:12:37,439 Speaker 2: There's nothing helping it, right Barbie and Barbie and Oppenheimer 255 00:12:37,440 --> 00:12:41,079 Speaker 2: both had Barbenheimer. We'll see if Glicked the Gladiator Wicked 256 00:12:41,240 --> 00:12:43,080 Speaker 2: weekend this fall that everybody's hoping for. 257 00:12:43,280 --> 00:12:46,280 Speaker 1: By the way, I saw the Wicked preview. Oh it's good. 258 00:12:46,520 --> 00:12:48,640 Speaker 1: I'm all I love Wicked. It's well, it's one of 259 00:12:48,679 --> 00:12:50,720 Speaker 1: my favorite musicals. It's one of the best musicals of 260 00:12:50,760 --> 00:12:52,839 Speaker 1: all time. Part of that is I am a Homer 261 00:12:52,880 --> 00:12:54,520 Speaker 1: and I love Kristin chenow with because I went to 262 00:12:54,520 --> 00:12:55,199 Speaker 1: college with her. 263 00:12:55,240 --> 00:12:58,240 Speaker 2: But I think Wicked special because like You and Taylor 264 00:12:58,520 --> 00:13:00,920 Speaker 2: is no love. You and Taylor love musicals together. 265 00:13:00,920 --> 00:13:04,319 Speaker 1: The imagination and the movie looks so creative and it's 266 00:13:04,360 --> 00:13:06,920 Speaker 1: so good, a little bit different in a good way. 267 00:13:07,720 --> 00:13:08,720 Speaker 1: So I'm excited about it. 268 00:13:08,720 --> 00:13:10,679 Speaker 2: I don't know that it needs I'm still questioning it 269 00:13:10,720 --> 00:13:13,800 Speaker 2: being in two parts. I don't understand that it's a 270 00:13:14,080 --> 00:13:17,720 Speaker 2: one sitting viewing in Broadway theaters. Why is the movie 271 00:13:17,840 --> 00:13:18,480 Speaker 2: two movies? 272 00:13:18,640 --> 00:13:21,760 Speaker 1: Gladiator is going to be so good with Denzel I'm 273 00:13:21,880 --> 00:13:22,679 Speaker 1: very excited about it. 274 00:13:22,760 --> 00:13:25,040 Speaker 2: I hope so, but so there's a lot of pressure 275 00:13:25,040 --> 00:13:25,360 Speaker 2: on that. 276 00:13:25,559 --> 00:13:29,760 Speaker 1: My one bone to pick with Twisters whoa and spoiler alert, 277 00:13:31,360 --> 00:13:34,679 Speaker 1: our heroes live. If you saw the original, you know. 278 00:13:34,920 --> 00:13:37,240 Speaker 2: That it wouldn't be a light crazy movie. If they 279 00:13:37,280 --> 00:13:40,040 Speaker 2: did it, then it would be an Academy Award nominated. 280 00:13:40,120 --> 00:13:42,520 Speaker 1: At the end of the original Twisters in the mid nineties, 281 00:13:43,280 --> 00:13:47,800 Speaker 1: there is chemistry, crazy chemistry. It's the moonlighting effect, right 282 00:13:48,120 --> 00:13:51,040 Speaker 1: the old Bruce Willis Sivil Shepherd show of You want 283 00:13:51,080 --> 00:13:52,720 Speaker 1: them together, but they're never going to get together. You 284 00:13:52,720 --> 00:13:54,560 Speaker 1: want them together, but they're never going to get together. 285 00:13:54,880 --> 00:13:58,000 Speaker 1: Of course they do get together. Bill Paxton and Helen 286 00:13:58,080 --> 00:14:02,080 Speaker 1: Hunt share this wonderful kis after the huge tornado blows 287 00:14:02,120 --> 00:14:06,120 Speaker 1: over them and they survive and the rest is movie magic. 288 00:14:06,200 --> 00:14:10,080 Speaker 1: And you know, we pull out to the Big Field and. 289 00:14:09,640 --> 00:14:14,160 Speaker 2: So and that movie gave us everything we wanted. Action, comedy, love. 290 00:14:14,920 --> 00:14:20,720 Speaker 1: This New Incarnation Twisters remake spoiler alert, there is no 291 00:14:20,840 --> 00:14:23,640 Speaker 1: kiss at the end. They shot it. They shot a 292 00:14:23,720 --> 00:14:27,360 Speaker 1: kiss scene where Glenn Powell and Daisy, the two main characters, kiss, 293 00:14:27,800 --> 00:14:30,560 Speaker 1: but they decided not And I went deep dive on 294 00:14:30,600 --> 00:14:34,600 Speaker 1: this today. You know who we have to blame? Spielberg. 295 00:14:35,800 --> 00:14:40,520 Speaker 1: I heard this was a Spielberg note. Wow, and I 296 00:14:40,640 --> 00:14:43,560 Speaker 1: have no scientific evidence, but this apparently was a note 297 00:14:43,560 --> 00:14:44,280 Speaker 1: in people No. 298 00:14:44,240 --> 00:14:46,920 Speaker 2: Wait, I just pulled it up. Glenn Powells said it 299 00:14:47,040 --> 00:14:50,560 Speaker 2: was a Spielberg note. Glen he said it was a 300 00:14:50,560 --> 00:14:51,840 Speaker 2: good note. I don't know if I agree. 301 00:14:51,880 --> 00:14:56,160 Speaker 1: Glenn Spielberg says it was too cliche in my opinion. 302 00:14:55,840 --> 00:14:57,480 Speaker 2: But isn't the point of this movie to give us 303 00:14:57,480 --> 00:14:58,239 Speaker 2: the cliches? 304 00:14:58,280 --> 00:15:00,960 Speaker 1: Thank you, Elsie. That's exactly what I was going to say. 305 00:15:01,000 --> 00:15:02,680 Speaker 1: Is the whole point of this movie at the end 306 00:15:02,720 --> 00:15:05,840 Speaker 1: is to be one big cliche. The boy gets the girl. 307 00:15:05,920 --> 00:15:09,240 Speaker 1: They survived, the girl gets the boy, she survives. It's 308 00:15:09,360 --> 00:15:12,000 Speaker 1: it's pretty woman, she saves them right back, et cetera. 309 00:15:12,440 --> 00:15:14,520 Speaker 1: There needed to be that kiss and at the end, 310 00:15:14,840 --> 00:15:16,880 Speaker 1: what's funny, and I'll be interested for you to see it. 311 00:15:18,800 --> 00:15:23,240 Speaker 1: I missed it. There was something missing emotionally. I really 312 00:15:23,320 --> 00:15:26,240 Speaker 1: literally missed the kiss. I was waiting for it because 313 00:15:26,280 --> 00:15:29,160 Speaker 1: I also knew the original so well that they had this. 314 00:15:29,240 --> 00:15:32,200 Speaker 1: Really if you saw it, Bill Paxton and Helen Hunt 315 00:15:32,240 --> 00:15:35,200 Speaker 1: tied themselves to this deep pipe well and they survived, 316 00:15:35,240 --> 00:15:37,640 Speaker 1: and then the water sprang on them, and the crew 317 00:15:37,680 --> 00:15:39,960 Speaker 1: comes in and they're jumping because Dorothy was flying, and 318 00:15:40,000 --> 00:15:42,960 Speaker 1: they got everything they needed from the tornado, and they kissed. 319 00:15:43,960 --> 00:15:46,320 Speaker 1: I was waiting for that moment, and and you had 320 00:15:46,320 --> 00:15:48,840 Speaker 1: great chemistry with the two leads, but we didn't get it, 321 00:15:49,440 --> 00:15:52,040 Speaker 1: And I disagree. That's the one miss I think that's 322 00:15:52,080 --> 00:15:54,840 Speaker 1: the one time in his career Spielberg has missed interesting. 323 00:15:54,880 --> 00:15:58,280 Speaker 2: The director said in an interview with Entertainment Weekly, I 324 00:15:58,320 --> 00:16:00,720 Speaker 2: feel like audiences are in a different place now in 325 00:16:00,800 --> 00:16:03,360 Speaker 2: terms of wanting a kiss or not wanting a kiss. 326 00:16:03,840 --> 00:16:06,080 Speaker 2: He said that they tried the scene with the kiss, 327 00:16:06,120 --> 00:16:10,440 Speaker 2: and the test audience has found it quote very polarizing. 328 00:16:11,040 --> 00:16:13,120 Speaker 2: This no kiss shot was the other option that I 329 00:16:13,200 --> 00:16:14,800 Speaker 2: had filmed on that day, and I have to say 330 00:16:14,840 --> 00:16:16,440 Speaker 2: I like it better. I think it's a better ending. 331 00:16:16,800 --> 00:16:19,040 Speaker 2: I think that people who want to kiss within it, 332 00:16:19,920 --> 00:16:22,320 Speaker 2: they can probably assume these guys will kiss someday. Well, 333 00:16:22,320 --> 00:16:23,960 Speaker 2: we want to see it, and maybe we give them 334 00:16:24,000 --> 00:16:25,880 Speaker 2: privacy for that. We don't need to give them privacy. 335 00:16:25,880 --> 00:16:28,920 Speaker 2: They're characters in a scripted movie. In a way, this 336 00:16:29,160 --> 00:16:30,800 Speaker 2: ending is a means to make sure that we really 337 00:16:30,840 --> 00:16:33,400 Speaker 2: wrap things up with it in a celebratory good way. 338 00:16:33,680 --> 00:16:36,200 Speaker 2: I disagree. What's more celebratory than a kiss. 339 00:16:36,240 --> 00:16:37,040 Speaker 1: So here's what's weird. 340 00:16:37,120 --> 00:16:40,360 Speaker 2: So if we would, okay, But he just said they 341 00:16:40,360 --> 00:16:43,640 Speaker 2: can assume they kiss. The entire point of film it 342 00:16:43,720 --> 00:16:47,120 Speaker 2: is is that it is a visual medium that shows 343 00:16:47,360 --> 00:16:50,400 Speaker 2: us the story. Think about how simple that is. It's 344 00:16:50,400 --> 00:16:53,000 Speaker 2: not radio, it's not it's visual. We want to see 345 00:16:53,040 --> 00:16:53,680 Speaker 2: the kiss. 346 00:16:53,760 --> 00:16:56,120 Speaker 1: First of all, this will be released because this was 347 00:16:56,160 --> 00:16:59,400 Speaker 1: a huge gaff, a massive miss. There's a scene at 348 00:16:59,400 --> 00:17:02,640 Speaker 1: the end shout out to the Oklahoma City Airport. It 349 00:17:02,680 --> 00:17:05,760 Speaker 1: was shot in the airport there and you know, you'll 350 00:17:05,760 --> 00:17:07,480 Speaker 1: see how it plays out. I don't want to ruin 351 00:17:07,480 --> 00:17:10,000 Speaker 1: too much because it's a very sweet scene. It is. 352 00:17:10,840 --> 00:17:14,119 Speaker 1: By the way, this is what the hypocrisy is on this. 353 00:17:14,640 --> 00:17:18,840 Speaker 1: The whole ending is so cliche. You see it coming 354 00:17:18,880 --> 00:17:22,800 Speaker 1: a mile away the last two minutes. You anybody could 355 00:17:22,800 --> 00:17:25,320 Speaker 1: write this scene and it is so cliche. The boy 356 00:17:25,400 --> 00:17:28,840 Speaker 1: chasing the girl and in the interview the airport. How 357 00:17:28,920 --> 00:17:31,040 Speaker 1: cliche is that the chase down in the airport. 358 00:17:31,280 --> 00:17:32,720 Speaker 2: Well, now you're really revealing the ending. 359 00:17:32,800 --> 00:17:34,640 Speaker 1: But here's the thing there is the chase does matter. 360 00:17:34,960 --> 00:17:37,040 Speaker 2: The ending does so cliche, and it's beautiful. 361 00:17:37,080 --> 00:17:39,640 Speaker 1: It's when Harry met Sally. It's every rom com we've 362 00:17:39,720 --> 00:17:43,320 Speaker 1: ever loved. Give me the frickin' ending. 363 00:17:43,560 --> 00:17:47,080 Speaker 2: Okay, So Daisy Edgar Jones said in this interview, we 364 00:17:47,440 --> 00:17:50,080 Speaker 2: thought that getting rid of the kiss made it or 365 00:17:50,160 --> 00:17:53,320 Speaker 2: stopped it from being too cliche. Like maybe they felt 366 00:17:53,320 --> 00:17:55,360 Speaker 2: like the kiss just made it way too cheesy given 367 00:17:55,400 --> 00:17:56,240 Speaker 2: all those other factors. 368 00:17:56,240 --> 00:17:58,480 Speaker 1: You just said, this cliche was thelm and Louise. We 369 00:17:58,560 --> 00:18:02,680 Speaker 1: drove off the cliff. It couldn't be more cliche. Trum. 370 00:18:02,880 --> 00:18:05,120 Speaker 2: I'm on your side. Listen if you and I Love 371 00:18:05,359 --> 00:18:07,880 Speaker 2: We met, you know, over a reality show about love. 372 00:18:07,960 --> 00:18:11,600 Speaker 2: I Love Love on TV and I've seen it. I 373 00:18:11,640 --> 00:18:13,680 Speaker 2: had heard about this even without having seen it, because 374 00:18:13,680 --> 00:18:16,560 Speaker 2: I'm on Twitter a lot or X and people. It 375 00:18:16,640 --> 00:18:18,600 Speaker 2: was kind of trending over the weekend that people were like, 376 00:18:18,920 --> 00:18:22,520 Speaker 2: bring back kisses in movies. So I'm interested in if 377 00:18:23,000 --> 00:18:25,040 Speaker 2: now that once the movie's out a few weeks, if 378 00:18:25,040 --> 00:18:27,680 Speaker 2: the director or if Glenn and Daisy changed their tune 379 00:18:27,720 --> 00:18:29,359 Speaker 2: on whether they think the kiss should have stayed in 380 00:18:29,400 --> 00:18:33,600 Speaker 2: once they hear more audience response, because and that is 381 00:18:33,640 --> 00:18:37,359 Speaker 2: something that's gone away, like kissing. Like I don't know, 382 00:18:37,400 --> 00:18:40,360 Speaker 2: we kind of had this walk back of like you know, needing. 383 00:18:41,240 --> 00:18:42,840 Speaker 2: It's like a lot of the times when things need 384 00:18:42,880 --> 00:18:45,360 Speaker 2: to be corrected at first, we overcorrect. And I think 385 00:18:45,400 --> 00:18:49,000 Speaker 2: a few years ago there as part of many movements, 386 00:18:49,400 --> 00:18:52,399 Speaker 2: it was like actors shouldn't have to have sex on 387 00:18:52,480 --> 00:18:56,000 Speaker 2: screen and movies and bringing intimacy coordinators on set, and 388 00:18:56,000 --> 00:18:58,280 Speaker 2: that's a good thing. An intimacy coordinator should be on 389 00:18:58,320 --> 00:19:00,919 Speaker 2: set to help people feel comfortable and film and all that. 390 00:19:01,440 --> 00:19:04,640 Speaker 2: But I do think people love to see love stories 391 00:19:05,080 --> 00:19:07,840 Speaker 2: and they like to escape into great makeout scenes and 392 00:19:07,920 --> 00:19:09,240 Speaker 2: even sex scenes and movies. 393 00:19:09,320 --> 00:19:12,400 Speaker 1: What books are most women reading? 394 00:19:13,080 --> 00:19:15,160 Speaker 2: Romance novel true crime thrillers, true. 395 00:19:15,760 --> 00:19:19,440 Speaker 1: Romance novels, heavy sex scenes. You know, I know, we've 396 00:19:19,480 --> 00:19:21,679 Speaker 1: gotten rid of sex scenes, We've gotten rid of nudity, 397 00:19:21,960 --> 00:19:24,480 Speaker 1: now we've gotten rid of the kiss. I in my 398 00:19:24,600 --> 00:19:27,480 Speaker 1: opinion and my experience of being on a show all 399 00:19:27,520 --> 00:19:31,320 Speaker 1: about the kiss, lean into it. You can't be cliche 400 00:19:31,480 --> 00:19:32,440 Speaker 1: enough when it comes to love. 401 00:19:32,480 --> 00:19:34,879 Speaker 2: Also, Glenn, I got to tell you a lot of 402 00:19:34,880 --> 00:19:37,960 Speaker 2: your audience wants to see you kiss. That's that's part 403 00:19:37,960 --> 00:19:38,639 Speaker 2: of what they're there for. 404 00:19:38,800 --> 00:19:42,760 Speaker 1: My first it was so they stopped the cliche just 405 00:19:42,800 --> 00:19:45,879 Speaker 1: a bit. But even with that said, twisters, I'm going 406 00:19:45,960 --> 00:19:48,000 Speaker 1: to give it a nine point eight out of ten 407 00:19:48,560 --> 00:19:51,879 Speaker 1: because they missed the kiss, that took that doctum two tense. Wow, 408 00:19:52,119 --> 00:19:54,400 Speaker 1: the dismount. They just missed the dismount. It's the Olympics 409 00:19:54,440 --> 00:20:02,920 Speaker 1: coming out and sports. 410 00:20:06,720 --> 00:20:10,040 Speaker 2: Okay, let me go back to the F five comment 411 00:20:10,080 --> 00:20:15,199 Speaker 2: from you. Yes, please share how you know what the 412 00:20:15,240 --> 00:20:19,800 Speaker 2: different levels of tornadoes are and then give us your 413 00:20:20,280 --> 00:20:23,560 Speaker 2: what you will reveal to be expert take on this movie. 414 00:20:23,680 --> 00:20:26,600 Speaker 1: This is why this movie was bizarrely emotional for me 415 00:20:26,640 --> 00:20:29,040 Speaker 1: and Taylor. Even our daughter was with me, and so 416 00:20:29,280 --> 00:20:31,359 Speaker 1: she looked over, She's like, are you okay? And I 417 00:20:31,440 --> 00:20:33,760 Speaker 1: was like really kind of intently staring at the screen. 418 00:20:33,800 --> 00:20:37,320 Speaker 1: At the end, it was really emotional because the original 419 00:20:37,840 --> 00:20:40,320 Speaker 1: was shot back in the mid nineties. That's and it 420 00:20:40,400 --> 00:20:44,119 Speaker 1: was shot in Oklahoma when I was a sportscaster and 421 00:20:44,240 --> 00:20:49,520 Speaker 1: news journalist in Oklahoma. And so the original movie actually 422 00:20:49,520 --> 00:20:54,000 Speaker 1: involved like our meteorologist Gary England, who helped create Doppler 423 00:20:54,119 --> 00:20:56,120 Speaker 1: radar back in the day. He was like the guy 424 00:20:56,160 --> 00:20:58,880 Speaker 1: when there was tornadoes and he had a bit part 425 00:20:58,880 --> 00:21:01,879 Speaker 1: in the movie. A lot of the meteorologists around Oklahoma 426 00:21:01,920 --> 00:21:04,240 Speaker 1: City did have you know, they were in the background 427 00:21:04,240 --> 00:21:07,119 Speaker 1: when the tornadoes are coming and you're watching the news footage. 428 00:21:07,320 --> 00:21:09,760 Speaker 1: That was real and those people are the people we 429 00:21:09,800 --> 00:21:11,800 Speaker 1: worked with on the day to day in the mid nineties, 430 00:21:11,800 --> 00:21:13,440 Speaker 1: and it was this was a big deal in the 431 00:21:13,440 --> 00:21:16,000 Speaker 1: middle of Oklahoma in the mid nineties. Bill Paxton was 432 00:21:16,040 --> 00:21:19,159 Speaker 1: in town and they did a movie premiere in Oklahoma City. 433 00:21:19,200 --> 00:21:21,040 Speaker 1: For us, it was a big deal. 434 00:21:21,280 --> 00:21:22,640 Speaker 2: So you were working where then. 435 00:21:22,760 --> 00:21:25,760 Speaker 1: I was at kW TV, the CBS affiliate Channel nine 436 00:21:25,760 --> 00:21:26,960 Speaker 1: in Oklahoma City. 437 00:21:27,320 --> 00:21:29,359 Speaker 2: And did they film in Oklahoma City. 438 00:21:29,640 --> 00:21:31,280 Speaker 1: They should part all over Oklahoma. 439 00:21:31,359 --> 00:21:31,600 Speaker 2: Wow. 440 00:21:32,400 --> 00:21:34,280 Speaker 1: Parts of it were on a set, but parts of 441 00:21:34,320 --> 00:21:36,960 Speaker 1: it were in Oklahoma, and I don't know, I have 442 00:21:37,000 --> 00:21:38,240 Speaker 1: to look it up to see where they shot. 443 00:21:38,320 --> 00:21:39,960 Speaker 2: The premiere was in Oklahoma City. 444 00:21:40,119 --> 00:21:40,520 Speaker 1: One of them. 445 00:21:40,520 --> 00:21:42,600 Speaker 2: Well you know how they move, that's awesome. 446 00:21:42,840 --> 00:21:46,080 Speaker 1: Yeah, so they you know, like our our meteorologist Gary 447 00:21:46,160 --> 00:21:48,280 Speaker 1: was like on the red carpet, will you know. We 448 00:21:48,359 --> 00:21:49,760 Speaker 1: just thought it was the biggest thing. 449 00:21:49,560 --> 00:21:51,520 Speaker 2: In the world, you know, you know where you would 450 00:21:51,520 --> 00:21:52,120 Speaker 2: go from, you. 451 00:21:52,080 --> 00:21:54,240 Speaker 1: Know, Hollywood coming to Oklahoma City. It was a big deal. 452 00:21:54,280 --> 00:21:57,119 Speaker 1: It was my first taste of that world. But the 453 00:21:57,200 --> 00:21:59,679 Speaker 1: other thing is this was ninety six, so I had 454 00:21:59,680 --> 00:22:03,159 Speaker 1: been working for three years. My last big one of 455 00:22:03,160 --> 00:22:05,480 Speaker 1: my last big news stories that I covered because I 456 00:22:05,520 --> 00:22:08,119 Speaker 1: would cross over and do news from time to time, 457 00:22:08,720 --> 00:22:12,600 Speaker 1: was the biggest tornado outbreak in the history of Oklahoma, 458 00:22:12,640 --> 00:22:15,359 Speaker 1: which is basically what this movie is about. Was the 459 00:22:15,359 --> 00:22:19,080 Speaker 1: biggest tornado outbreak and then the biggest tornado dropping That 460 00:22:19,160 --> 00:22:22,720 Speaker 1: happened in May of ninety nine. The day was crazy. 461 00:22:22,760 --> 00:22:24,600 Speaker 1: There had been tornadoes all day. I was in the 462 00:22:24,640 --> 00:22:29,320 Speaker 1: sports office, so our storm trackers, stormchasers were all over 463 00:22:29,359 --> 00:22:32,439 Speaker 1: the state because there had been fifty sixty tornadoes, all 464 00:22:32,480 --> 00:22:36,639 Speaker 1: these storms, and so everybody was spread out late afternoon 465 00:22:36,720 --> 00:22:40,000 Speaker 1: early evening. The biggest tornado, one of the biggest, I 466 00:22:40,000 --> 00:22:41,960 Speaker 1: don't want to misquote myself, but I think it was 467 00:22:42,000 --> 00:22:44,119 Speaker 1: one of the biggest ever in the history of Oklahoma. 468 00:22:44,440 --> 00:22:47,600 Speaker 1: Dropped in the middle of Oklahoma City in the Midwest 469 00:22:47,600 --> 00:22:50,280 Speaker 1: City Dell City area, went kind of across Tinker Air 470 00:22:50,320 --> 00:22:54,440 Speaker 1: Force Base, and I think more across the Air Force 471 00:22:54,480 --> 00:22:56,520 Speaker 1: base into Midwest City del City, because that's where I 472 00:22:56,520 --> 00:22:59,359 Speaker 1: caught up with it. So our news director went running 473 00:22:59,400 --> 00:23:02,520 Speaker 1: through the office screaming, who can go? We need a 474 00:23:02,520 --> 00:23:05,639 Speaker 1: photographer and a reporter. They stuck their head in the 475 00:23:05,640 --> 00:23:08,840 Speaker 1: sports office. My boss was like zero chance Harrison Europe. 476 00:23:09,200 --> 00:23:13,879 Speaker 1: And so my sports photographer and I get in the 477 00:23:13,920 --> 00:23:18,399 Speaker 1: car and start chasing this tornado. And back then we 478 00:23:18,480 --> 00:23:22,040 Speaker 1: didn't have all the technology. We had a CBE radio. 479 00:23:22,800 --> 00:23:25,760 Speaker 1: There was a meteorologist on air that was Gary England. 480 00:23:25,760 --> 00:23:27,520 Speaker 1: Then there was this other guy, I forget his name, 481 00:23:27,960 --> 00:23:31,960 Speaker 1: Brady Bruce. Brady Bruce was he was also meteorologist, but 482 00:23:32,000 --> 00:23:37,040 Speaker 1: his job with essentially like matchbox cars. Toy cars would 483 00:23:37,240 --> 00:23:40,840 Speaker 1: map where you are and he would watch the tornado 484 00:23:40,960 --> 00:23:43,320 Speaker 1: to hopefully keep you out of harm's way. 485 00:23:43,760 --> 00:23:47,640 Speaker 2: It sounds like Game of Thrones level safety and strategizing 486 00:23:47,680 --> 00:23:48,680 Speaker 2: in wartime. 487 00:23:48,680 --> 00:23:50,800 Speaker 1: One thing you can usually count on with tornadoes. They 488 00:23:50,800 --> 00:23:53,119 Speaker 1: move in a northeasterly direction, so you get on the 489 00:23:53,200 --> 00:23:55,400 Speaker 1: southwest side of them and follow them. 490 00:23:55,640 --> 00:23:58,280 Speaker 2: Was this the first time you'd covered a toy? 491 00:23:59,400 --> 00:24:01,840 Speaker 1: I had been out four, but not to this extent. 492 00:24:02,040 --> 00:24:05,520 Speaker 2: Wow. So you were literally thrown into storms. 493 00:24:05,720 --> 00:24:07,359 Speaker 1: And I have video. I'll put this up on my 494 00:24:07,440 --> 00:24:10,879 Speaker 1: social media. I have video of I got to the 495 00:24:10,920 --> 00:24:14,280 Speaker 1: Midwest City, Dell City area, right after the tornado ripped through, 496 00:24:14,800 --> 00:24:17,679 Speaker 1: and it was it really is like the movie. This 497 00:24:17,760 --> 00:24:20,440 Speaker 1: is where I will give kudos to Twisters. The effects 498 00:24:20,440 --> 00:24:24,920 Speaker 1: are real looking and the after effects how the towns 499 00:24:24,960 --> 00:24:28,480 Speaker 1: look when a tornado has ripped through is very very real. 500 00:24:28,600 --> 00:24:30,359 Speaker 1: I mean it's you'll see when I put up this 501 00:24:30,440 --> 00:24:33,200 Speaker 1: social media video on my Instagram. It looks like it's 502 00:24:33,240 --> 00:24:37,639 Speaker 1: the movie. Cars are strewn, trees are just ripped clean. 503 00:24:38,240 --> 00:24:42,240 Speaker 1: Where where houses were there's just a slab. Stuff is 504 00:24:42,359 --> 00:24:46,000 Speaker 1: just thrown everywhere. It's it's the craziest thing you've ever 505 00:24:46,040 --> 00:24:48,359 Speaker 1: walked in. And right after a tornado it gets kind 506 00:24:48,359 --> 00:24:51,080 Speaker 1: of soupy green. It gets kind of still, and it's 507 00:24:51,119 --> 00:24:54,119 Speaker 1: eerie because all you really hear is the hiss of gas. 508 00:24:54,960 --> 00:24:57,560 Speaker 1: Typically it's not raining, and there might be a little wind, 509 00:24:57,680 --> 00:25:01,160 Speaker 1: but it's not too dramatic, and it's just eerie because 510 00:25:01,200 --> 00:25:05,520 Speaker 1: all you're hearing is just gas leaks and people crying out, 511 00:25:05,640 --> 00:25:08,960 Speaker 1: and it's a very eerie feeling. One thing that Twisters 512 00:25:09,000 --> 00:25:11,760 Speaker 1: does dramatically a lot of people get sucked up in 513 00:25:11,800 --> 00:25:15,480 Speaker 1: these tornadoes in the movie. In the movie, so there 514 00:25:15,520 --> 00:25:20,040 Speaker 1: are several deaths in the movie for dramatic effect. Ironically, 515 00:25:20,640 --> 00:25:22,840 Speaker 1: not a lot of people die because we know when 516 00:25:22,880 --> 00:25:24,760 Speaker 1: you're living in a tornado alley where to go and what 517 00:25:24,880 --> 00:25:27,080 Speaker 1: to do. Get in your if you have a basement, 518 00:25:27,200 --> 00:25:29,680 Speaker 1: or you get in your bathtub for the F one 519 00:25:29,760 --> 00:25:32,439 Speaker 1: through kind of F three tornadoes. But the interesting thing 520 00:25:32,440 --> 00:25:35,320 Speaker 1: about the tornado I chase the F five. It was 521 00:25:35,400 --> 00:25:37,520 Speaker 1: so big. It was the first time I heard kind 522 00:25:37,520 --> 00:25:40,320 Speaker 1: of fear in our meteorologist Gary England's voice, and he 523 00:25:40,480 --> 00:25:44,080 Speaker 1: was said, if you cannot get underground, you will die. 524 00:25:44,840 --> 00:25:48,160 Speaker 1: Get underground or you will die. So if you can't 525 00:25:48,160 --> 00:25:50,439 Speaker 1: get underground, and he never says this because you should 526 00:25:50,440 --> 00:25:53,040 Speaker 1: never try to outrun a tornado. He was telling people, 527 00:25:53,119 --> 00:25:55,679 Speaker 1: get in your car, get out of there. You have 528 00:25:55,800 --> 00:25:57,920 Speaker 1: no hope of just being in your bathtub and being 529 00:25:57,960 --> 00:26:00,960 Speaker 1: in a closet because this will one hundred percent destroy 530 00:26:01,000 --> 00:26:03,840 Speaker 1: your house. And he's right, and this you'll see in 531 00:26:03,880 --> 00:26:07,040 Speaker 1: my reporting. Nobody died in that F five tornado that 532 00:26:07,080 --> 00:26:09,200 Speaker 1: went through. There were a lot of injuries because there's 533 00:26:09,240 --> 00:26:12,280 Speaker 1: a lot of debris and cuts and it's it's wild. 534 00:26:12,880 --> 00:26:14,680 Speaker 1: So this movie has a uh. 535 00:26:15,359 --> 00:26:18,240 Speaker 2: So, what was making you emotional in the theater just 536 00:26:18,400 --> 00:26:18,919 Speaker 2: took it. 537 00:26:18,920 --> 00:26:21,160 Speaker 1: Took me back to my breaking news days. It took 538 00:26:21,200 --> 00:26:24,000 Speaker 1: me back to that young man that was so like 539 00:26:24,119 --> 00:26:26,720 Speaker 1: wide eyed and scared and covering it to his first 540 00:26:26,800 --> 00:26:30,960 Speaker 1: big I mean, this was huge, a huge tornado, and 541 00:26:31,040 --> 00:26:33,840 Speaker 1: so you know, I remember walking through the streets. We would, 542 00:26:33,880 --> 00:26:35,880 Speaker 1: you know, helping people get out of their storm shelters 543 00:26:35,920 --> 00:26:39,720 Speaker 1: because people were in their storm shelters and a washing 544 00:26:39,760 --> 00:26:42,080 Speaker 1: machine or whatever was on top of it and there 545 00:26:42,080 --> 00:26:44,560 Speaker 1: were gas leaks, so they were smelling gas. It was 546 00:26:44,640 --> 00:26:46,920 Speaker 1: pitch black in their storm shelter and they couldn't get out. 547 00:26:47,320 --> 00:26:49,960 Speaker 1: So we were like clearing debris and we would when 548 00:26:49,960 --> 00:26:52,320 Speaker 1: people were injured, we'd put them on a piece of plywood, 549 00:26:52,800 --> 00:26:55,560 Speaker 1: carry them to the street until you know, emergency vehicles 550 00:26:55,600 --> 00:26:58,240 Speaker 1: could get in. So it was a lot of triage, 551 00:26:58,280 --> 00:26:59,840 Speaker 1: a lot of just and for you know, a young 552 00:27:00,080 --> 00:27:04,439 Speaker 1: and it was such a wild, emotional day and it 553 00:27:04,480 --> 00:27:06,680 Speaker 1: kind of took me back to that. It was really Uh, 554 00:27:06,840 --> 00:27:10,359 Speaker 1: they did a really good job. It's very realistic, very good. Again, 555 00:27:10,359 --> 00:27:12,160 Speaker 1: too many people are getting sucked up all the time. 556 00:27:12,520 --> 00:27:16,600 Speaker 1: But with that said, it was And there is a 557 00:27:16,640 --> 00:27:18,199 Speaker 1: scene in there. You know she's holding you know, it's 558 00:27:18,280 --> 00:27:20,240 Speaker 1: kind of like a gladiator when he you know, grabs 559 00:27:20,280 --> 00:27:22,879 Speaker 1: the dirt before war. You know, she's like holding a 560 00:27:22,960 --> 00:27:25,639 Speaker 1: dandelion and she can read the weather by the dandelion 561 00:27:25,720 --> 00:27:29,480 Speaker 1: being blown around. A little whimsical and fantastically. 562 00:27:28,880 --> 00:27:30,119 Speaker 2: This in Gary, England could have done that. 563 00:27:30,200 --> 00:27:32,840 Speaker 1: Gary England could have done it. But shout out to 564 00:27:32,880 --> 00:27:36,160 Speaker 1: all the meteorologists in Tornado Alley. It's funny. We get 565 00:27:36,240 --> 00:27:38,360 Speaker 1: so mad because they put the map up and they 566 00:27:38,400 --> 00:27:41,359 Speaker 1: cover up programming, but when you need them, you're happy 567 00:27:41,400 --> 00:27:41,880 Speaker 1: they're there. 568 00:27:42,600 --> 00:27:44,600 Speaker 2: Oh well, well, that's the number one thing always that 569 00:27:44,640 --> 00:27:47,920 Speaker 2: people watch on local news, right is the weather forever. Yeah, 570 00:27:48,040 --> 00:27:51,760 Speaker 2: it's it's interesting because I grew up in Chicago, and 571 00:27:51,840 --> 00:27:55,960 Speaker 2: I've seen that green sky before, and we have tornado season, 572 00:27:55,960 --> 00:27:57,919 Speaker 2: not on the level of Oklahoma, but like when we 573 00:27:57,960 --> 00:28:01,960 Speaker 2: first moved to Texas or even in I guess in California, 574 00:28:02,000 --> 00:28:04,280 Speaker 2: I knew there weren't really tornadoes, But when we first 575 00:28:04,359 --> 00:28:06,119 Speaker 2: moved to Texas, I'm like, why doesn't anybody have a 576 00:28:06,119 --> 00:28:09,000 Speaker 2: basement here? Like you guys get tornadoes right because and 577 00:28:09,160 --> 00:28:10,919 Speaker 2: I guess we don't really get them in Austin, but 578 00:28:11,040 --> 00:28:13,280 Speaker 2: in Chicago, everybody as a basement, and we were. 579 00:28:13,200 --> 00:28:15,000 Speaker 1: A city you do, I guess because of the soil 580 00:28:15,080 --> 00:28:17,840 Speaker 1: and whatever going on in Texas and Dallas, you can't 581 00:28:17,840 --> 00:28:20,680 Speaker 1: really have basements. I'm sure you could now, but back 582 00:28:20,720 --> 00:28:22,160 Speaker 1: in the day they just didn't build them. 583 00:28:22,720 --> 00:28:26,040 Speaker 2: And one of the you know, wherever you grew up, 584 00:28:26,119 --> 00:28:28,000 Speaker 2: you know that type of disaster. 585 00:28:27,840 --> 00:28:29,760 Speaker 1: And you know where to go. I mean, as kids 586 00:28:29,800 --> 00:28:32,359 Speaker 1: growing up in Dallas, we spent so many days in 587 00:28:32,400 --> 00:28:35,080 Speaker 1: the spring hunkered down in the hallway or in the gym, 588 00:28:35,240 --> 00:28:38,160 Speaker 1: you know, with your head between your legs and hunkered 589 00:28:38,200 --> 00:28:41,560 Speaker 1: down no because tornadoes were you know, the sirens were going. 590 00:28:41,600 --> 00:28:44,080 Speaker 1: And this one of the other big emotional scenes at 591 00:28:44,120 --> 00:28:46,800 Speaker 1: the end. It was really funny because again Taylor, our daughter, 592 00:28:46,840 --> 00:28:50,680 Speaker 1: caught me. There's a scene in al Reno, Oklahoma, big 593 00:28:50,680 --> 00:28:53,760 Speaker 1: scene at the end and where the big tornado comes through. 594 00:28:54,000 --> 00:28:55,640 Speaker 1: I spent a lot of time in a Reno. It's 595 00:28:55,640 --> 00:28:57,440 Speaker 1: just outside Oklahoma City, I want to say, like forty 596 00:28:57,440 --> 00:28:59,760 Speaker 1: five minute drive. And one of my fraternity brothers we 597 00:28:59,840 --> 00:29:01,880 Speaker 1: used to go out there and play golf at al 598 00:29:01,920 --> 00:29:05,400 Speaker 1: Reno Country Club, and so it just it took me back. 599 00:29:05,480 --> 00:29:07,479 Speaker 1: It really took me back to my Oklahoma days. It's 600 00:29:07,560 --> 00:29:09,840 Speaker 1: it's a life and a world that I was very 601 00:29:09,840 --> 00:29:13,720 Speaker 1: proud of, and I, you know, really draw back to 602 00:29:13,760 --> 00:29:16,200 Speaker 1: a lot of people, my mentors. You knows who I 603 00:29:16,200 --> 00:29:18,240 Speaker 1: found in Oklahoma City is where I went to college, 604 00:29:18,240 --> 00:29:20,480 Speaker 1: and so it was just cool. I like, I like 605 00:29:20,520 --> 00:29:22,320 Speaker 1: when places like that are put on the map. 606 00:29:22,800 --> 00:29:24,720 Speaker 2: Well, we are going to go see Twisters again? 607 00:29:24,840 --> 00:29:25,040 Speaker 1: Yes? 608 00:29:25,320 --> 00:29:27,120 Speaker 2: I love that just a few days later you will 609 00:29:27,200 --> 00:29:28,560 Speaker 2: are willing to go see it with me again. I 610 00:29:28,600 --> 00:29:30,200 Speaker 2: love when a movie as well at the box office. 611 00:29:30,200 --> 00:29:31,800 Speaker 1: I can remember the last time I wanted to see 612 00:29:31,800 --> 00:29:32,480 Speaker 1: a movie twice. 613 00:29:33,280 --> 00:29:36,440 Speaker 2: That's a big rave review that you want to see 614 00:29:36,440 --> 00:29:37,200 Speaker 2: it twice in the theater. 615 00:29:37,320 --> 00:29:39,480 Speaker 1: I'm double dipping on Twisters, and I'll put up that 616 00:29:39,560 --> 00:29:41,240 Speaker 1: video because it's really funny, and don't make fun of 617 00:29:41,240 --> 00:29:44,120 Speaker 1: my Oklahoma accent by the way, because it is heavy. 618 00:29:44,680 --> 00:29:49,520 Speaker 1: So Number one, congratulations to everybody involved with the movie Twisters, 619 00:29:49,800 --> 00:29:51,880 Speaker 1: huge success of the box office. It's good to see 620 00:29:51,920 --> 00:29:55,320 Speaker 1: movies back, and we will see you at the cinema. No, 621 00:29:55,680 --> 00:29:57,400 Speaker 1: we will talk to you again next time because we 622 00:29:57,440 --> 00:29:59,840 Speaker 1: have a lot more to talk about. Thanks for listening. 623 00:30:00,080 --> 00:30:02,600 Speaker 1: Follow us on Instagram at the most dramatic pod ever 624 00:30:03,040 --> 00:30:04,840 Speaker 1: and make sure to write us a review and leave 625 00:30:04,880 --> 00:30:07,280 Speaker 1: us five stars. I'll talk to you next time.