1 00:00:00,160 --> 00:00:03,559 Speaker 1: Hello the Internet, and welcome to this episode of Cath 2 00:00:03,680 --> 00:00:09,400 Speaker 1: trend Bigelow, director of Zero Dark Trendy, among many other films. 3 00:00:09,440 --> 00:00:14,120 Speaker 1: Nothing that really translates well to Zeit, which I don't 4 00:00:14,120 --> 00:00:16,439 Speaker 1: know if that's the intentional decision on her part to 5 00:00:16,640 --> 00:00:20,640 Speaker 1: try and avoid the humiliation of having a trending episode 6 00:00:21,239 --> 00:00:25,439 Speaker 1: named after her movie. But I'm Jack. I'm thrilled to 7 00:00:25,440 --> 00:00:31,760 Speaker 1: be joined by super producer Christian Mukerjee. Hello to be 8 00:00:31,840 --> 00:00:35,480 Speaker 1: here again. It's great to happen back two in a row. 9 00:00:35,720 --> 00:00:43,400 Speaker 1: We're really rolling here. We're heading into a long weekend. Fourth. Uh, 10 00:00:43,560 --> 00:00:46,440 Speaker 1: do you have any pets, Jack, that are scared of fireworks? 11 00:00:46,840 --> 00:00:52,720 Speaker 1: Have kids that are not like not too bad but like, 12 00:00:52,840 --> 00:00:55,520 Speaker 1: for the most part, we haven't like really chased fireworks, 13 00:00:55,560 --> 00:00:59,160 Speaker 1: But anytime I've set one off next to their bed 14 00:00:59,200 --> 00:01:04,440 Speaker 1: while they were leap, they freaked out. That nightly occurren 15 00:01:05,880 --> 00:01:09,800 Speaker 1: keep him on their toes, you know, um, yeah, yeah, 16 00:01:10,000 --> 00:01:13,640 Speaker 1: but do do you have There is a dog living 17 00:01:13,640 --> 00:01:16,560 Speaker 1: in this apartment right now, but luckily he's going away 18 00:01:16,959 --> 00:01:23,280 Speaker 1: for the weekend, so he wants scared put a dog down? Then, yeah, 19 00:01:23,680 --> 00:01:29,800 Speaker 1: there is a dog just real impersonal. I won't call 20 00:01:29,880 --> 00:01:33,800 Speaker 1: him my dog. There's a dog and he's going away. 21 00:01:34,319 --> 00:01:38,880 Speaker 1: He doesn't know it yet, but that sounds so horrible. 22 00:01:39,040 --> 00:01:45,319 Speaker 1: Nothing I think about. Um. Number one story on everyone's 23 00:01:45,360 --> 00:01:50,080 Speaker 1: mind is that you dropped your phone this morning. Um. 24 00:01:50,120 --> 00:01:53,160 Speaker 1: And it is the rare story that we were talking 25 00:01:53,160 --> 00:01:54,640 Speaker 1: about off Mike, but I had to bring it on 26 00:01:54,720 --> 00:01:58,600 Speaker 1: Mike because it is crazy. Yes, this is a monumental 27 00:01:58,720 --> 00:02:02,760 Speaker 1: story for the ages, and it is that this morning 28 00:02:02,960 --> 00:02:08,600 Speaker 1: as I was walking onto the elevator with the aforementioned dog, 29 00:02:09,160 --> 00:02:13,040 Speaker 1: So you know, my mind was little. I mean, he's 30 00:02:13,120 --> 00:02:20,920 Speaker 1: going on, that's why you are right. So, Um, I 31 00:02:21,000 --> 00:02:23,000 Speaker 1: was holding the dog's leege in one hand and I 32 00:02:23,040 --> 00:02:26,840 Speaker 1: was holding my phone in another head and the dog 33 00:02:26,960 --> 00:02:30,560 Speaker 1: moved and then the phone dropped from my hand into 34 00:02:30,680 --> 00:02:35,799 Speaker 1: the space between the elevator and the floor. And how 35 00:02:35,880 --> 00:02:40,520 Speaker 1: devastating is that, Like, it's so impressive. If you gave 36 00:02:40,560 --> 00:02:42,519 Speaker 1: me a hundred times to try to do that with 37 00:02:42,600 --> 00:02:47,920 Speaker 1: my phone, I would fail every time. So my theory 38 00:02:48,120 --> 00:02:51,200 Speaker 1: is that there's like part of you that is like 39 00:02:51,320 --> 00:02:54,079 Speaker 1: I want to get rid of my phone. I'm tethered 40 00:02:54,160 --> 00:02:56,880 Speaker 1: to work, or you know, or you just want the 41 00:02:56,919 --> 00:03:01,600 Speaker 1: new upgrade, and that part of you is also extremely 42 00:03:01,639 --> 00:03:05,799 Speaker 1: well trained and like possibly an assassin like Jason Bourne style. 43 00:03:06,000 --> 00:03:09,080 Speaker 1: There's a part of view that uh like has been 44 00:03:09,120 --> 00:03:13,680 Speaker 1: severed and is also just incredible, like in incredible command 45 00:03:13,720 --> 00:03:18,079 Speaker 1: of the spacetime exactly. I think that's it. I think 46 00:03:18,120 --> 00:03:24,280 Speaker 1: that's a very accurate. And you want to get rid 47 00:03:24,320 --> 00:03:28,760 Speaker 1: of that phone? I do, I do. And yeah, it's 48 00:03:28,760 --> 00:03:31,399 Speaker 1: like even if you tried a hundred times, you can 49 00:03:31,760 --> 00:03:34,320 Speaker 1: do it. Not a chance, not a chance. And it 50 00:03:34,360 --> 00:03:36,240 Speaker 1: was from pretty high up to so like there's a 51 00:03:36,320 --> 00:03:38,720 Speaker 1: lot of time and space for it to not fall 52 00:03:38,880 --> 00:03:42,640 Speaker 1: directly into the whole, but it just it did. You 53 00:03:42,920 --> 00:03:46,120 Speaker 1: kind of impressed, Like I don't think I'd even say, 54 00:03:46,120 --> 00:03:52,080 Speaker 1: oh no, I'd be like damn for three swish. I 55 00:03:52,160 --> 00:03:54,200 Speaker 1: was like in shock, But I think it was mostly 56 00:03:54,240 --> 00:03:57,120 Speaker 1: just being impressed at myself that my aim was that good. 57 00:03:58,080 --> 00:04:01,440 Speaker 1: It was all the assassin just like practice that I 58 00:04:01,480 --> 00:04:06,240 Speaker 1: think made that happen. It's very impressive. I'm willed by 59 00:04:06,280 --> 00:04:09,960 Speaker 1: your clumsiness. I dropped my phone. I've been dropping my 60 00:04:09,960 --> 00:04:13,480 Speaker 1: phone enough over the past twenty four hours that I'm 61 00:04:13,480 --> 00:04:17,719 Speaker 1: starting to worry, like maybe I have like something wrong 62 00:04:17,760 --> 00:04:21,400 Speaker 1: with me. Um is just I don't know I woke 63 00:04:21,520 --> 00:04:24,279 Speaker 1: up tired yesterday and like was my kids were like, 64 00:04:24,279 --> 00:04:26,800 Speaker 1: are your right? Like my four year old was literally 65 00:04:26,800 --> 00:04:29,360 Speaker 1: like are your right? You should keep dropping things, man, 66 00:04:29,680 --> 00:04:34,160 Speaker 1: Like what's going on? Um? So I don't know, we'll see, 67 00:04:34,279 --> 00:04:36,560 Speaker 1: but I feel like it comes in waves sometimes, like 68 00:04:36,640 --> 00:04:40,360 Speaker 1: you dropped one thing and then everything just starts actually falling, 69 00:04:40,400 --> 00:04:43,000 Speaker 1: Like the same thing is happening to me right now. 70 00:04:42,880 --> 00:04:48,679 Speaker 1: No butter fingers yeah yeah. Um hey, speaking of things 71 00:04:48,720 --> 00:04:55,320 Speaker 1: that come in waves, King of the Transition, thank you. Um. 72 00:04:55,520 --> 00:04:58,560 Speaker 1: The coronavirus, the LA Times has a it's kind of 73 00:04:58,560 --> 00:05:01,360 Speaker 1: a weird story. It's like it seems like everyone's got 74 00:05:01,360 --> 00:05:07,159 Speaker 1: the DN coronavirus or something. Um, but they most of 75 00:05:07,200 --> 00:05:10,400 Speaker 1: the statistics are about how like overall the number of 76 00:05:10,440 --> 00:05:16,240 Speaker 1: people who have caught uh COVID like to date in California, 77 00:05:16,600 --> 00:05:19,520 Speaker 1: um specifically. But I have just noticed this just in 78 00:05:19,640 --> 00:05:26,280 Speaker 1: like you know, uh, work relationships, friendships, uh, like podcasts 79 00:05:26,360 --> 00:05:29,680 Speaker 1: I listened to. Everybody seems to be getting COVID like 80 00:05:29,839 --> 00:05:34,440 Speaker 1: right now. Like somebody who was bragging to me that 81 00:05:34,520 --> 00:05:39,960 Speaker 1: like they must have the like some something about them 82 00:05:39,960 --> 00:05:42,400 Speaker 1: that makes them impervious to COVID, Like they were ragging 83 00:05:42,440 --> 00:05:45,440 Speaker 1: about that to me less than a week ago. Uh, 84 00:05:45,920 --> 00:05:49,800 Speaker 1: just caught COVID. So it does feel like it's like, 85 00:05:49,839 --> 00:05:52,680 Speaker 1: all right, and now all the rest of you is 86 00:05:52,720 --> 00:05:56,920 Speaker 1: it is what's happening right now? Exactly exactly? Um yeah, 87 00:05:56,920 --> 00:05:59,560 Speaker 1: well we're also just talking about how neither of us 88 00:05:59,560 --> 00:06:02,120 Speaker 1: have gotten COVID yet. But yeah, in my mind, it's 89 00:06:02,160 --> 00:06:07,800 Speaker 1: transitioned from like, oh wow, I must be special. When 90 00:06:07,880 --> 00:06:09,960 Speaker 1: is it going to happen because they've seen a lot 91 00:06:10,000 --> 00:06:13,279 Speaker 1: of news as well. If so many people getting COVID 92 00:06:13,320 --> 00:06:16,600 Speaker 1: again are getting it for the first time, I am. 93 00:06:16,640 --> 00:06:19,640 Speaker 1: I saw on the internet that now that people aren't 94 00:06:19,640 --> 00:06:22,960 Speaker 1: masking on planes, the people who are sitting next to 95 00:06:23,000 --> 00:06:25,920 Speaker 1: those people who do have COVID and are just coughing 96 00:06:26,440 --> 00:06:30,080 Speaker 1: all over the place are testing positive to of no 97 00:06:30,200 --> 00:06:33,960 Speaker 1: fault of their own because mask mandates on planes have 98 00:06:34,040 --> 00:06:40,760 Speaker 1: been removed. Yeah we just gave up and ah, yes, 99 00:06:40,839 --> 00:06:44,040 Speaker 1: we'll see it's in this Early Times article. Is interesting 100 00:06:44,080 --> 00:06:47,080 Speaker 1: just from a like I don't know that they're interviewing 101 00:06:47,400 --> 00:06:52,160 Speaker 1: the people who have never gotten COVID like it's November 102 00:06:52,920 --> 00:06:55,760 Speaker 1: and their Trump voters like they're like weird people, like 103 00:06:55,960 --> 00:06:58,920 Speaker 1: what what so what are you like? Just way too 104 00:06:58,960 --> 00:07:02,880 Speaker 1: interested in them. Like at one point they interview somebody 105 00:07:02,920 --> 00:07:06,440 Speaker 1: and they're like, yeah, I don't know, Like I I 106 00:07:06,480 --> 00:07:09,239 Speaker 1: feel like I've been very careful and therefore I remain 107 00:07:09,360 --> 00:07:13,160 Speaker 1: COVID free, but I don't know. It's like, well, are 108 00:07:13,200 --> 00:07:16,360 Speaker 1: you an epidemiologist? Why are we interviewing you just because 109 00:07:16,400 --> 00:07:18,840 Speaker 1: you haven't caught and you haven't caught COVID yet, Like 110 00:07:18,920 --> 00:07:23,720 Speaker 1: when I also saw Washington Post reporter like asking Twitter like, hey, 111 00:07:23,840 --> 00:07:26,320 Speaker 1: if you haven't caught COVID, like reach out to me, 112 00:07:26,480 --> 00:07:33,000 Speaker 1: Like like that's almost half of the population. Yeah, it 113 00:07:33,560 --> 00:07:37,120 Speaker 1: seems like tough services to find. Yeah, so these are 114 00:07:37,160 --> 00:07:41,400 Speaker 1: like conservatives who haven't gotten vaccinated and still think you know, 115 00:07:41,600 --> 00:07:44,200 Speaker 1: like no, I was just saying, it's like they're treating 116 00:07:44,200 --> 00:07:48,400 Speaker 1: it like Trump voters because the media is like obsessed 117 00:07:48,440 --> 00:07:52,600 Speaker 1: with them and like obsessed with telling their stories. Now 118 00:07:52,640 --> 00:07:55,640 Speaker 1: these are just randomly they're just asking them like what's 119 00:07:55,720 --> 00:07:58,560 Speaker 1: what's it? Like why do you why do you think 120 00:07:58,640 --> 00:08:01,640 Speaker 1: you haven't caught COVID, which basically what I asked you 121 00:08:01,720 --> 00:08:04,000 Speaker 1: before we started recording, like why do you think we 122 00:08:04,080 --> 00:08:07,160 Speaker 1: haven't got it? But that is I'm dumb, Like I'm 123 00:08:07,160 --> 00:08:12,480 Speaker 1: not a journalist. So I'm allowed to ask stuff like that. Yeah. Anyways, 124 00:08:13,480 --> 00:08:18,080 Speaker 1: hopefully you know, we just remain to the end of 125 00:08:18,200 --> 00:08:22,480 Speaker 1: days without catching COVID. Happy Bobby, been a day to you, 126 00:08:22,800 --> 00:08:26,120 Speaker 1: Thank you day to you two. I've been waiting all 127 00:08:26,200 --> 00:08:33,199 Speaker 1: years this day. Do you not in the least please? 128 00:08:34,920 --> 00:08:39,560 Speaker 1: So a day is the day on which eighties slugger. 129 00:08:39,880 --> 00:08:42,840 Speaker 1: So he's a baseball player in the nineteen eighties probably, 130 00:08:43,760 --> 00:08:46,400 Speaker 1: uh like at least a decade before you were born. 131 00:08:47,040 --> 00:08:50,080 Speaker 1: Uh was that was when he was at the peak 132 00:08:50,120 --> 00:08:54,319 Speaker 1: of his powers. And he um is now retired, has 133 00:08:54,400 --> 00:08:58,480 Speaker 1: been retired for a long time. He still gets over 134 00:08:58,520 --> 00:09:04,840 Speaker 1: a million dollars on July one every year until because 135 00:09:04,840 --> 00:09:07,559 Speaker 1: of a really bad contract that the Mets signed him 136 00:09:07,600 --> 00:09:11,120 Speaker 1: to um And so it's just it's just a day 137 00:09:11,240 --> 00:09:16,439 Speaker 1: to celebrate people getting I guess at one point one 138 00:09:16,520 --> 00:09:21,880 Speaker 1: nine million every year. Um And it's just I don't know, 139 00:09:21,960 --> 00:09:24,959 Speaker 1: I like thinking about Bobby Bonia going cashing that check, 140 00:09:25,480 --> 00:09:29,120 Speaker 1: uh every July one. So shout out to him, and 141 00:09:29,200 --> 00:09:32,800 Speaker 1: also shout out to the Mets who are bad at 142 00:09:32,920 --> 00:09:35,480 Speaker 1: what they do. All right, let's take a quick break 143 00:09:35,760 --> 00:09:50,480 Speaker 1: and we'll be right back. And we're back, and there's 144 00:09:50,520 --> 00:09:55,319 Speaker 1: more flooding in Yellowstone National Park. And yeah, this, I mean, 145 00:09:55,360 --> 00:09:58,440 Speaker 1: this was a story that we were like, this seems 146 00:09:58,440 --> 00:10:03,480 Speaker 1: like a once in a you know, lifetime generational weather 147 00:10:03,559 --> 00:10:07,080 Speaker 1: event a couple of weeks ago, and it's happening again. Yeah, 148 00:10:07,160 --> 00:10:12,240 Speaker 1: it just shocks me how often these disasters are happening now. Um. 149 00:10:12,440 --> 00:10:15,079 Speaker 1: Someone who works at the park said that this week's 150 00:10:15,120 --> 00:10:17,360 Speaker 1: flooding was by far the worst he had seen in 151 00:10:17,480 --> 00:10:20,360 Speaker 1: fifty years closing in the area, which is just like 152 00:10:20,520 --> 00:10:23,760 Speaker 1: also the one two weeks ago, it was like much better. 153 00:10:23,960 --> 00:10:27,640 Speaker 1: And what's going to happen in the next two weeks, Um, 154 00:10:27,800 --> 00:10:29,880 Speaker 1: they predict that part of the park is going to 155 00:10:30,520 --> 00:10:35,440 Speaker 1: remain closed for a few months. Um. There were houses flooded, 156 00:10:35,760 --> 00:10:41,640 Speaker 1: there were full grown trees um uprooted, and yeah, it 157 00:10:41,720 --> 00:10:45,480 Speaker 1: just seems like a pretty bad situation. So I've read 158 00:10:45,480 --> 00:10:48,000 Speaker 1: that the National Park Services kind of deciding at this 159 00:10:48,040 --> 00:10:51,800 Speaker 1: point which national parks they're going to conserve and which 160 00:10:51,800 --> 00:10:53,640 Speaker 1: ones they're kind of just kind of have to give 161 00:10:53,720 --> 00:10:56,200 Speaker 1: up on due to climate change. So they're kind of 162 00:10:56,240 --> 00:10:59,560 Speaker 1: carrying out this tree out of situation, which is really rough. 163 00:10:59,720 --> 00:11:04,760 Speaker 1: Especial Sheason's National Park land Um is already so crowded, 164 00:11:05,120 --> 00:11:08,640 Speaker 1: and access to green spaces becoming even more and more limited. 165 00:11:08,720 --> 00:11:11,640 Speaker 1: So it's already super crowded, and then as we lose 166 00:11:11,679 --> 00:11:14,400 Speaker 1: out on more and more of these spaces, people will 167 00:11:14,440 --> 00:11:22,360 Speaker 1: have less places to go. Yeah. It temperatures are rising 168 00:11:22,679 --> 00:11:25,679 Speaker 1: at twice the rate of the rest of the country 169 00:11:25,720 --> 00:11:29,000 Speaker 1: in National Park just because of like where they are, 170 00:11:29,040 --> 00:11:33,960 Speaker 1: and I guess there's like an in deserts and ships, right, Yeah, 171 00:11:33,960 --> 00:11:36,600 Speaker 1: and I think a lot of them are higher altitude 172 00:11:37,000 --> 00:11:41,360 Speaker 1: and the rest of the country, so they're being affected first. 173 00:11:42,080 --> 00:11:45,720 Speaker 1: But yeah, the photos are quite crazy. You can just 174 00:11:45,760 --> 00:11:48,960 Speaker 1: see the river kind of taking over all of the land. Yeah. 175 00:11:49,000 --> 00:11:51,480 Speaker 1: It always makes me think when I'm in a National 176 00:11:51,559 --> 00:11:54,760 Speaker 1: park or something or a state park now, like I 177 00:11:54,800 --> 00:11:57,600 Speaker 1: hope this is still here in the future, and I 178 00:11:57,640 --> 00:12:00,400 Speaker 1: feel even luckier to be able to enjoy him now. 179 00:12:01,120 --> 00:12:03,959 Speaker 1: I know. It's such a bummer to be like, yeah, 180 00:12:04,080 --> 00:12:08,360 Speaker 1: we we used to have these, um all right. So 181 00:12:09,080 --> 00:12:11,960 Speaker 1: when we were first talking about research for today's doc, 182 00:12:12,240 --> 00:12:14,199 Speaker 1: you were like, it just seems like this is all 183 00:12:14,240 --> 00:12:18,880 Speaker 1: basketball maybe um. And so you were just rattling off 184 00:12:18,920 --> 00:12:24,280 Speaker 1: some names that you saw trending, Malcolm Brogden, Mitchell something 185 00:12:24,679 --> 00:12:30,720 Speaker 1: which is Donovan, Mitchell, uh Danny Inge, Ben Simmons, Gary 186 00:12:30,720 --> 00:12:33,760 Speaker 1: Payton the second. So the first name is Malcolm Brogden. 187 00:12:34,200 --> 00:12:37,719 Speaker 1: He signed with the Celtics in a trade with like 188 00:12:37,760 --> 00:12:41,120 Speaker 1: a first round pick. I think the main reason he 189 00:12:41,200 --> 00:12:45,400 Speaker 1: is trending is because people are mad that he went 190 00:12:45,480 --> 00:12:48,600 Speaker 1: to the Celtics and not their team, because the Celtics 191 00:12:48,640 --> 00:12:53,800 Speaker 1: just traditionally from the beginning, have always been better at 192 00:12:53,960 --> 00:12:58,640 Speaker 1: like front office moves than everybody else. Sometimes they cheated 193 00:12:59,559 --> 00:13:01,960 Speaker 1: to do that in the case of like Red hour Back, 194 00:13:02,120 --> 00:13:07,920 Speaker 1: like he would do underhanded things that in retrospect people 195 00:13:07,920 --> 00:13:11,640 Speaker 1: are like, what a crafty guy, um. But anyways, in 196 00:13:11,679 --> 00:13:13,720 Speaker 1: the in this case, it's just like, oh man, I 197 00:13:13,760 --> 00:13:17,000 Speaker 1: wanted Malcolm Brogdon on my team, like, but all they 198 00:13:17,000 --> 00:13:19,520 Speaker 1: had to do was give up a pick. So that's 199 00:13:19,640 --> 00:13:25,520 Speaker 1: I think the overwhelming feeling on Malcolm Brogden is great 200 00:13:25,600 --> 00:13:28,080 Speaker 1: pick up for a team who I did not want 201 00:13:28,120 --> 00:13:33,319 Speaker 1: to see have great pickups. Mitchell something h Ak, Donovan Mitchell, 202 00:13:33,360 --> 00:13:37,800 Speaker 1: and Danny Inje trending. Danny Ainge is former Celtics President 203 00:13:37,800 --> 00:13:42,160 Speaker 1: of basketball Operations, now left to join the Utah Jazz. 204 00:13:42,960 --> 00:13:46,600 Speaker 1: He is a b y U grad A you know 205 00:13:46,720 --> 00:13:51,480 Speaker 1: a Utah native and he went to bring the Jazz 206 00:13:51,640 --> 00:13:54,960 Speaker 1: to the Promised Land and also just like not a 207 00:13:54,960 --> 00:13:58,960 Speaker 1: great guy. So he's trending because they just got six 208 00:13:59,360 --> 00:14:03,280 Speaker 1: first round picks for Rudy Gobert. Some people think it's 209 00:14:03,280 --> 00:14:06,840 Speaker 1: like the worst trade of all time, but like for 210 00:14:06,920 --> 00:14:11,439 Speaker 1: the team they traded him to um Minnesota. Then Donovan 211 00:14:11,480 --> 00:14:13,640 Speaker 1: Mitchell is trending because people are like, well, it seems 212 00:14:13,679 --> 00:14:15,840 Speaker 1: like the Jazz are blowing it up, and so they're 213 00:14:15,840 --> 00:14:18,360 Speaker 1: going to get rid of their best offensive player. They 214 00:14:18,400 --> 00:14:20,520 Speaker 1: just got rid of the best defensive player in the league, 215 00:14:20,600 --> 00:14:22,160 Speaker 1: Rudy Gobert, and now they're going to get rid of 216 00:14:22,200 --> 00:14:24,720 Speaker 1: their best offensive player. And I've noticed that your head 217 00:14:24,800 --> 00:14:28,720 Speaker 1: has started nodding as you try not fall asleep. Um 218 00:14:28,800 --> 00:14:36,400 Speaker 1: so just it's it's fascinating stuff. Yes, but I saw 219 00:14:36,600 --> 00:14:41,480 Speaker 1: Rudy Gobert in my Twitter trending as well, so now 220 00:14:41,520 --> 00:14:46,800 Speaker 1: I know who he is. Yeah. Anyways, Uh, controversy. Controversial 221 00:14:46,840 --> 00:14:51,040 Speaker 1: stuff that has people talking about the Utah Jazz air 222 00:14:51,040 --> 00:14:54,320 Speaker 1: travel is did you were you ready to move on 223 00:14:54,400 --> 00:14:57,920 Speaker 1: from the NBA? Don't know. I would like you to 224 00:14:58,000 --> 00:15:01,480 Speaker 1: just keep going. Yeah, be like a nice catch up 225 00:15:01,520 --> 00:15:07,600 Speaker 1: on something no, thank you. That was very informative. All Right, 226 00:15:08,120 --> 00:15:11,280 Speaker 1: air travel is trending because it is going to be 227 00:15:11,320 --> 00:15:16,480 Speaker 1: the biggest air travel weekend of the year, um of 228 00:15:16,560 --> 00:15:21,160 Speaker 1: possibly the biggest air travel weekend since the pandemic. That's 229 00:15:21,200 --> 00:15:26,640 Speaker 1: what's being expected. Uh, and you know, major airlines have 230 00:15:26,800 --> 00:15:31,800 Speaker 1: continued to just cancel flights like yeah, like they're just 231 00:15:31,840 --> 00:15:35,520 Speaker 1: flaking on someone with no reel. They're just like, yeah, that, 232 00:15:35,600 --> 00:15:37,840 Speaker 1: by by the way, f y, that flight is not 233 00:15:37,920 --> 00:15:41,560 Speaker 1: happening anymore. Like that happened, Uh my mom when she 234 00:15:41,640 --> 00:15:43,840 Speaker 1: was flying out to visit us. I think it happened 235 00:15:43,840 --> 00:15:46,560 Speaker 1: to us when we were like flying back somewhere. It 236 00:15:46,720 --> 00:15:51,040 Speaker 1: just it seems kind of like they're just that we're 237 00:15:51,120 --> 00:15:54,200 Speaker 1: in a new era of air travel where it's like, yeah, 238 00:15:54,240 --> 00:15:57,480 Speaker 1: that none of this ship is guaranteed. Yeah, exactly. I've 239 00:15:57,520 --> 00:16:01,160 Speaker 1: heard of a lot of stories like that happening the UM. 240 00:16:01,200 --> 00:16:04,320 Speaker 1: I have a friend who's like, they just kept pushing 241 00:16:04,320 --> 00:16:06,840 Speaker 1: it back by two hours, two hours, two hours, So 242 00:16:06,880 --> 00:16:09,560 Speaker 1: he's sitting at the airport for eight hours and like, 243 00:16:09,640 --> 00:16:12,520 Speaker 1: what's happening And then they just canceled it and so 244 00:16:12,560 --> 00:16:14,760 Speaker 1: you ended up having to wait in the airport for 245 00:16:15,000 --> 00:16:21,200 Speaker 1: thirties six hours UM and no hotel, no first class upgrade, nothing. 246 00:16:21,360 --> 00:16:24,680 Speaker 1: But it's almost as if like, did you ever take 247 00:16:24,800 --> 00:16:29,040 Speaker 1: Spirit and Frontier, those like those budget airlines. Oh yeah 248 00:16:29,080 --> 00:16:33,440 Speaker 1: that so Spirit Airlines is I think the only airline 249 00:16:33,480 --> 00:16:37,040 Speaker 1: that flies from l A too directly to Pittsburgh, which 250 00:16:37,080 --> 00:16:40,880 Speaker 1: is where my wife is from. So it is like 251 00:16:41,120 --> 00:16:44,440 Speaker 1: it I feel like on those flights especially, they're like, 252 00:16:44,880 --> 00:16:49,000 Speaker 1: are you going to do complain? Yeah, we're gonna We're 253 00:16:49,000 --> 00:16:53,040 Speaker 1: gonna treat you with spite exactly exactly. I feel like 254 00:16:53,160 --> 00:16:58,200 Speaker 1: the rest of the airlines as well are adopting that spirit. Yeah, 255 00:16:59,040 --> 00:17:05,800 Speaker 1: your spirit is stching on contos. Yeah. So yeah, the 256 00:17:05,920 --> 00:17:08,320 Speaker 1: f a A are blaming the airlines. The airlines are 257 00:17:08,320 --> 00:17:12,000 Speaker 1: blaming the f a A. Um, pilots are blaming the airlines. 258 00:17:12,160 --> 00:17:15,080 Speaker 1: I think it's probably airlines. They're the corporations that are 259 00:17:16,640 --> 00:17:20,320 Speaker 1: it's in their interest to over promise under deliver, and 260 00:17:20,920 --> 00:17:24,320 Speaker 1: it seems like they're over committing their staff to um 261 00:17:24,400 --> 00:17:30,320 Speaker 1: amounts of work that are illegal, probably for a good reason. 262 00:17:30,640 --> 00:17:34,200 Speaker 1: So anyways, I have after reading a Twitter thread from 263 00:17:34,200 --> 00:17:36,920 Speaker 1: like somebody who worked in the airline industry, and they 264 00:17:36,920 --> 00:17:40,760 Speaker 1: were like they just seemed like genuinely like, hey, like 265 00:17:40,840 --> 00:17:42,800 Speaker 1: I don't I don't want everybody to like have the 266 00:17:42,880 --> 00:17:45,760 Speaker 1: awful time that everybody seems to be having these days 267 00:17:45,800 --> 00:17:47,560 Speaker 1: on the on the flight. So here's what you do. 268 00:17:47,680 --> 00:17:51,000 Speaker 1: Like the big overwhelming thing that I took away, and 269 00:17:51,040 --> 00:17:53,199 Speaker 1: I think it was their first piece of advice was 270 00:17:53,680 --> 00:17:56,920 Speaker 1: don't fly if you can possibly avoid it, Like that 271 00:17:56,960 --> 00:17:59,680 Speaker 1: was what they said. Essentially. They were like, if if 272 00:17:59,720 --> 00:18:02,639 Speaker 1: it's the difference between like a nine ten hour drive 273 00:18:03,000 --> 00:18:06,719 Speaker 1: and flight, like do the ten hour drive? Yeah. Yeah, 274 00:18:07,080 --> 00:18:09,960 Speaker 1: it's such a crisis too because now everyone's like I 275 00:18:09,960 --> 00:18:13,920 Speaker 1: don't want to drive because gases so right, and then 276 00:18:14,080 --> 00:18:17,879 Speaker 1: like if you decide to fly, it's this chaos and 277 00:18:19,000 --> 00:18:22,879 Speaker 1: just meditating to day home. Yeah, meditate you can go 278 00:18:22,960 --> 00:18:28,320 Speaker 1: so many places in your mind. Exactly right. All right, Well, Tricia, 279 00:18:28,480 --> 00:18:33,520 Speaker 1: such a pleasure having you on t DS trends. Where 280 00:18:33,520 --> 00:18:35,760 Speaker 1: can people find you? Follow you all that good stuff? 281 00:18:35,880 --> 00:18:38,920 Speaker 1: Thank you Jack for having me. You're so fun as always. 282 00:18:39,119 --> 00:18:43,280 Speaker 1: Um so I don't have any social media actually, um 283 00:18:43,280 --> 00:18:45,879 Speaker 1: but if you want to listen to some of my 284 00:18:46,119 --> 00:18:50,760 Speaker 1: podcast you can search people place power and Spotify, Apple 285 00:18:50,840 --> 00:18:54,560 Speaker 1: podcast wherever you got your podcasts and take a listen. 286 00:18:54,680 --> 00:18:57,440 Speaker 1: It's a show about activism around the world and people 287 00:18:57,480 --> 00:19:01,720 Speaker 1: who are creating sustainable change in their unity. Yeah, thank 288 00:19:01,800 --> 00:19:04,400 Speaker 1: you Jack Oh, thanks for thanks for being on. Yeah. 289 00:19:05,520 --> 00:19:10,239 Speaker 1: Crazy like people who are actually doing stuff. I don't know, 290 00:19:11,359 --> 00:19:14,240 Speaker 1: how do you find them? All Right, that is gonna 291 00:19:14,280 --> 00:19:17,200 Speaker 1: do it for us for the week. We are back 292 00:19:17,240 --> 00:19:20,119 Speaker 1: on Tuesday with the whole last episode of the show. 293 00:19:20,720 --> 00:19:24,640 Speaker 1: Have a great long weekend. Be kind to each other, 294 00:19:24,840 --> 00:19:28,320 Speaker 1: be kind to yourself. Get the vaccine. Go to pod 295 00:19:28,440 --> 00:19:31,280 Speaker 1: voices dot help to find out what you can do 296 00:19:31,359 --> 00:19:34,000 Speaker 1: to help people affected by the overturning of brow by 297 00:19:34,040 --> 00:19:37,879 Speaker 1: the Supreme Court. Don't do nothing about white supremacy, and 298 00:19:37,920 --> 00:19:41,800 Speaker 1: we will talk to y'all on Tuesday. Bye. By