1 00:00:00,240 --> 00:00:04,240 Speaker 1: Hello the Internet, and welcome to season two eighteen, episode 2 00:00:04,280 --> 00:00:07,840 Speaker 1: one of Jorda Leyni guys to production of I Heart Radio. 3 00:00:08,400 --> 00:00:10,440 Speaker 1: This is a podcast where we take a deep dive 4 00:00:10,440 --> 00:00:15,680 Speaker 1: into American's share consciousness and occasionally, as on today's episode, 5 00:00:15,880 --> 00:00:19,560 Speaker 1: predict the freaking future. You guys, that's what we do here. 6 00:00:19,960 --> 00:00:25,160 Speaker 1: It's January for you the listener here in the past. 7 00:00:25,320 --> 00:00:31,240 Speaker 1: When we're recording, it is December one, long ago time, 8 00:00:31,680 --> 00:00:36,600 Speaker 1: which is of course the day many recognize festivals, which 9 00:00:36,640 --> 00:00:39,360 Speaker 1: is the holiday from Simepold where you decorate a pole 10 00:00:40,000 --> 00:00:42,880 Speaker 1: and have an airing of grievances over dinner and feats 11 00:00:42,920 --> 00:00:45,639 Speaker 1: of strength, after which is I guess where someone has 12 00:00:45,680 --> 00:00:49,199 Speaker 1: to pin the head of the household and an unimpressive miracle. 13 00:00:49,720 --> 00:00:54,400 Speaker 1: I have no idea what sort of strange traditions those 14 00:00:54,400 --> 00:00:57,880 Speaker 1: of you and your future Mars colony and celebrate in 15 00:00:58,080 --> 00:01:01,880 Speaker 1: January of the year twenty twenty two. So let's go 16 00:01:01,920 --> 00:01:07,000 Speaker 1: with festivals. I like festivus. Here we go. Well, my name, 17 00:01:07,000 --> 00:01:14,360 Speaker 1: if I interrupted your intro like that, I'm lonely as well. 18 00:01:14,720 --> 00:01:17,640 Speaker 1: My name is Jack O'Brien, a K. Jack Jack in 19 00:01:17,720 --> 00:01:22,039 Speaker 1: the New Year Groove, and I am thrilled to be 20 00:01:22,400 --> 00:01:26,640 Speaker 1: joined by a very special guest co host hilarious and 21 00:01:26,680 --> 00:01:30,679 Speaker 1: acclaimed comedian actor, podcast host who you know from Team 22 00:01:30,720 --> 00:01:33,800 Speaker 1: Coco's Meet the Staff and the Movie That Feels that's 23 00:01:33,800 --> 00:01:35,800 Speaker 1: one of your favorite guests about to be one of 24 00:01:35,800 --> 00:01:43,679 Speaker 1: your favorite guests. Hosts it's ever What's up everybody? Why 25 00:01:46,120 --> 00:01:48,920 Speaker 1: that is? My first prediction is that is coming back, 26 00:01:50,000 --> 00:01:54,280 Speaker 1: dude with these people? Where the I saw somebody on 27 00:01:54,440 --> 00:01:57,560 Speaker 1: ironically wearing Jinkos in Texas. Yeah, you know, it's like 28 00:01:57,640 --> 00:02:00,000 Speaker 1: that whole gen Z thing, like wearing nineties stuff. I'm 29 00:02:00,160 --> 00:02:05,640 Speaker 1: sorry that was me. Yeah, who's that? Oh my god? 30 00:02:05,680 --> 00:02:08,720 Speaker 1: It's coming to us from our third seat. Hilarious stand 31 00:02:08,800 --> 00:02:12,840 Speaker 1: up comedian, actor and writer who created Facial Recognition comedy, 32 00:02:12,919 --> 00:02:15,320 Speaker 1: co host the podcast the same name. You've seen her 33 00:02:15,320 --> 00:02:18,400 Speaker 1: on Dear White People, How to Get Away with Murder, Snowfall, 34 00:02:18,800 --> 00:02:21,560 Speaker 1: all of the up and coming comedian list please welcome 35 00:02:21,680 --> 00:02:29,360 Speaker 1: visit to a sunny just me and my Jenko's. Yeah, 36 00:02:29,480 --> 00:02:31,920 Speaker 1: you are in full Jenko and that's great to see 37 00:02:32,080 --> 00:02:40,200 Speaker 1: anticipating something about Yeah, there's something super nostalgic about that year. 38 00:02:40,600 --> 00:02:43,760 Speaker 1: What a year, What a time to be alive? That 39 00:02:43,880 --> 00:02:47,680 Speaker 1: is when I was in all cross color Jenko Carl 40 00:02:47,760 --> 00:02:51,120 Speaker 1: can I you know the good old days, yea, I 41 00:02:51,160 --> 00:02:53,120 Speaker 1: remember when you all got the Jenkos with like the 42 00:02:53,200 --> 00:02:56,760 Speaker 1: cool patch that wasn't it would be like the skater 43 00:02:57,040 --> 00:02:59,080 Speaker 1: or like the weird creature and you'd be like, yeah, 44 00:02:59,120 --> 00:03:05,440 Speaker 1: these are these are cool? Maybe wearing Jingos too, Yeah, 45 00:03:05,680 --> 00:03:08,520 Speaker 1: the Jinko on the Jingo would be wearing Jingos. It's 46 00:03:08,560 --> 00:03:13,680 Speaker 1: like an sketch out here. I um embarrassingly have an 47 00:03:14,200 --> 00:03:17,079 Speaker 1: an m C short tattoo and not a cool one. 48 00:03:17,720 --> 00:03:25,000 Speaker 1: What Yeah, it's a dog. I'm so embarrassed about my tattoos. 49 00:03:25,040 --> 00:03:28,040 Speaker 1: I have the m C sert would sketching of a 50 00:03:28,120 --> 00:03:30,320 Speaker 1: fish like a carving, you know, for like a stamp. 51 00:03:30,800 --> 00:03:33,240 Speaker 1: And then I have I think I've talked about it before, 52 00:03:33,280 --> 00:03:35,640 Speaker 1: but I have Starry Night Van Goes Starry Night on 53 00:03:35,680 --> 00:03:40,560 Speaker 1: my lower back, but just the sky. You are representing 54 00:03:41,840 --> 00:03:46,720 Speaker 1: freshman dorm room wall as well, so you have you 55 00:03:46,760 --> 00:03:51,280 Speaker 1: have a Van Go tramp stamp. Mm hmm. It's always 56 00:03:51,320 --> 00:03:58,560 Speaker 1: an interesting conversation before sex with someone new. Hey, listen, 57 00:03:58,560 --> 00:04:00,400 Speaker 1: you're gonna see some stuff back there. It's not what 58 00:04:00,480 --> 00:04:03,200 Speaker 1: you think, but it's not what you want. What you 59 00:04:03,240 --> 00:04:05,760 Speaker 1: think it's not what you want, none of the b 60 00:04:06,320 --> 00:04:10,760 Speaker 1: I do think that college dorm room art is under it. 61 00:04:10,760 --> 00:04:15,080 Speaker 1: It is a perfect encapsulation of like a you know, 62 00:04:15,200 --> 00:04:18,719 Speaker 1: an averaging of the zeitgeist of like over the course 63 00:04:18,720 --> 00:04:21,839 Speaker 1: of twenty years. It's it's not not anything to be 64 00:04:21,880 --> 00:04:24,880 Speaker 1: ashamed of. I would say, I think college dorm room art, 65 00:04:24,960 --> 00:04:27,479 Speaker 1: we we give it a hard time because we've all 66 00:04:27,520 --> 00:04:31,479 Speaker 1: been that person who has those posters. But we had 67 00:04:31,480 --> 00:04:36,120 Speaker 1: those posters for a reason. I wonder college students let 68 00:04:36,200 --> 00:04:38,640 Speaker 1: us know. But I feel like the college students now 69 00:04:39,640 --> 00:04:43,720 Speaker 1: degree with their dorm like a real apartment. No, yeah, probably, 70 00:04:44,040 --> 00:04:47,480 Speaker 1: I'm I'm probably dating myself. I remember, like when I 71 00:04:47,480 --> 00:04:49,479 Speaker 1: first walked when I walked into my first dorm, I 72 00:04:49,560 --> 00:04:54,200 Speaker 1: just started crying because it was so fucking disgusting. Already 73 00:04:54,400 --> 00:04:58,039 Speaker 1: you walked in and it was already just like an astra. Yeah. 74 00:04:58,200 --> 00:05:00,360 Speaker 1: I was like, I'm gonna like not have any skin 75 00:05:00,520 --> 00:05:03,960 Speaker 1: after cleaning this room, like yeah, just from all like 76 00:05:04,000 --> 00:05:08,279 Speaker 1: the ly Salt White ship. Yeah, that's a great question. 77 00:05:08,279 --> 00:05:10,720 Speaker 1: I would I would be curious to hear like what 78 00:05:11,120 --> 00:05:14,680 Speaker 1: held over from when I was in college and like 79 00:05:14,760 --> 00:05:18,600 Speaker 1: what is knew what what went away because Bruce Lee 80 00:05:18,680 --> 00:05:21,680 Speaker 1: does everybody still like Bruce Lee and Muhammad Ali posters, 81 00:05:21,800 --> 00:05:25,400 Speaker 1: and and by everybody, I mean a bunch of dude bros. 82 00:05:25,480 --> 00:05:32,080 Speaker 1: And Quentin Tarantino moving scarface. Of course, Godfather Rappers had 83 00:05:32,120 --> 00:05:36,640 Speaker 1: all the Woo Tang albums on my wall. Yeah, Godfather 84 00:05:36,760 --> 00:05:40,159 Speaker 1: for sure. The first time I got really high, I 85 00:05:40,200 --> 00:05:42,800 Speaker 1: was looking at my Godfather poster on my dorm room 86 00:05:42,800 --> 00:05:45,320 Speaker 1: wall and the cats started to move. And that's how 87 00:05:45,360 --> 00:05:50,720 Speaker 1: I knew I did not like weed. Not for me. 88 00:05:52,440 --> 00:05:54,480 Speaker 1: I can't be the only one who had a cardboard 89 00:05:54,520 --> 00:05:58,679 Speaker 1: cutout of James Dean life size. I mean the only 90 00:05:58,680 --> 00:06:02,400 Speaker 1: one maybe in this on this podcast, but for certain 91 00:06:02,760 --> 00:06:05,120 Speaker 1: not the only one. Definitely not the only one in Florida, 92 00:06:05,839 --> 00:06:08,479 Speaker 1: definitely not. What about the Marylyn and Row cut out 93 00:06:08,720 --> 00:06:11,080 Speaker 1: or black and white Marilyn Monroe with like the red 94 00:06:11,160 --> 00:06:13,839 Speaker 1: lipstick or red rose. You'll know what I'm talking about. Yeah, 95 00:06:14,240 --> 00:06:18,080 Speaker 1: little Schindler's list effect on the Marilyn Monroe to let 96 00:06:18,120 --> 00:06:25,919 Speaker 1: him know your arts you Alright, well, Fizza, we're going 97 00:06:25,960 --> 00:06:27,240 Speaker 1: to get to know you a little bit better in 98 00:06:27,279 --> 00:06:29,800 Speaker 1: a moment. This is usually where we tell people what 99 00:06:29,839 --> 00:06:31,960 Speaker 1: we're talking about. But yeah, like I said, this is 100 00:06:32,240 --> 00:06:34,840 Speaker 1: kind of a you know, loose episode where we're just 101 00:06:34,880 --> 00:06:37,160 Speaker 1: going to talk about what we think is going to 102 00:06:37,240 --> 00:06:40,719 Speaker 1: happen in the year. You know, we're going to do 103 00:06:40,800 --> 00:06:43,960 Speaker 1: our own personal predictions. We're gonna look at the predictions 104 00:06:44,160 --> 00:06:48,320 Speaker 1: of mainstream media outlets, what will even make some predictions 105 00:06:48,320 --> 00:06:52,880 Speaker 1: about what's going to happen to us individually personally. And 106 00:06:53,279 --> 00:06:55,400 Speaker 1: also I should let you guys know, so we did 107 00:06:55,400 --> 00:07:00,280 Speaker 1: this last year and we got them correct, so there's 108 00:07:00,279 --> 00:07:04,000 Speaker 1: no pressure. But like we are batting a thousand when 109 00:07:04,040 --> 00:07:07,479 Speaker 1: it comes to our predictions to this point as a podcast, 110 00:07:07,680 --> 00:07:10,960 Speaker 1: so no big deal. But we can see the future. 111 00:07:11,360 --> 00:07:14,320 Speaker 1: So or it could mean that this podcast is like 112 00:07:14,720 --> 00:07:17,600 Speaker 1: has some sort of curse on it where anything that 113 00:07:17,680 --> 00:07:20,840 Speaker 1: we record on the predictions episode just comes to pass. 114 00:07:21,160 --> 00:07:25,880 Speaker 1: So you know, careful keep that in mind to Manifestation podcast. 115 00:07:26,640 --> 00:07:29,560 Speaker 1: So all of those things are true. We are going 116 00:07:29,560 --> 00:07:32,560 Speaker 1: to get to that in a moment. First, we do 117 00:07:32,680 --> 00:07:36,160 Speaker 1: still like to ask our guests what is something from 118 00:07:36,200 --> 00:07:40,320 Speaker 1: your search history physic The last thing I searched for was, 119 00:07:41,240 --> 00:07:45,360 Speaker 1: oh yeah, foot massage near me? Mhmm. You're just asking 120 00:07:45,400 --> 00:07:48,280 Speaker 1: if there's one happening near you or you're looking for. 121 00:07:48,640 --> 00:07:52,800 Speaker 1: I was looking for one person. So I yesterday I 122 00:07:53,240 --> 00:07:58,560 Speaker 1: went to this reflexology placed down the street and it's 123 00:07:58,600 --> 00:08:02,800 Speaker 1: my favorite type of massar Yeah what what what is 124 00:08:03,160 --> 00:08:08,040 Speaker 1: like in addition to the kind of pleasure of getting 125 00:08:08,280 --> 00:08:10,720 Speaker 1: a foot rub, like what do you does it relax 126 00:08:10,840 --> 00:08:15,280 Speaker 1: you do you like feel the effects after the fact. Well, 127 00:08:15,280 --> 00:08:17,160 Speaker 1: it's been a while since I had one, so I 128 00:08:17,240 --> 00:08:20,240 Speaker 1: was like, Okay, let's see what benefits are going to 129 00:08:20,320 --> 00:08:23,520 Speaker 1: come from this? And uh, it was. I mean, I 130 00:08:23,520 --> 00:08:25,920 Speaker 1: don't know, there's like thousands of nerve endings at the 131 00:08:25,920 --> 00:08:28,040 Speaker 1: bottom of your feet. You know. Some people would say 132 00:08:28,040 --> 00:08:32,480 Speaker 1: reflexology is a pseudoscience, but you know, regardless, it feels good. 133 00:08:33,240 --> 00:08:37,000 Speaker 1: It just feels good. I mean, like I felt a 134 00:08:37,160 --> 00:08:42,400 Speaker 1: lot of like stress relief. And if they I don't know, 135 00:08:42,480 --> 00:08:46,000 Speaker 1: it's just have you have you experienced it? I have 136 00:08:46,320 --> 00:08:51,200 Speaker 1: gotten a foot massage, not from a trained reflexologist, I 137 00:08:51,200 --> 00:08:55,880 Speaker 1: don't believe. Just within like an interpersonal relationship in the 138 00:08:56,040 --> 00:09:00,320 Speaker 1: romantic context, that's a key for good for you, that's 139 00:09:00,440 --> 00:09:05,200 Speaker 1: I mean, if I that's nice. Yeah, yeah, the best 140 00:09:05,840 --> 00:09:08,480 Speaker 1: I have enough, I've wanted one. I'm gonna go say it. 141 00:09:08,760 --> 00:09:13,679 Speaker 1: I've wanted a foot massage since I was younger, but 142 00:09:13,800 --> 00:09:15,360 Speaker 1: the young I've been one of. I don't know why 143 00:09:15,360 --> 00:09:17,360 Speaker 1: I've never gotten a foot massage, but I believe that 144 00:09:17,720 --> 00:09:20,720 Speaker 1: with the nerve endings, it's like a brain highly recommend 145 00:09:20,960 --> 00:09:24,040 Speaker 1: and there's like, I mean, there's four places walking distance 146 00:09:24,120 --> 00:09:28,280 Speaker 1: from me, so you know my search yielded results. Oh 147 00:09:28,360 --> 00:09:31,640 Speaker 1: did you what are you going to try all four? Yeah? 148 00:09:31,679 --> 00:09:33,800 Speaker 1: I was thinking about switching it up, you know, like 149 00:09:33,920 --> 00:09:36,680 Speaker 1: I want to support the local small businesses, and the 150 00:09:36,760 --> 00:09:43,240 Speaker 1: prices are super reasonable compared to lakes. Yeah, but you 151 00:09:43,240 --> 00:09:46,959 Speaker 1: guys have like now toys implied that there's something necessarily 152 00:09:47,080 --> 00:09:52,800 Speaker 1: romantic about a foot massage. Is that it's pretty essential, right, 153 00:09:53,160 --> 00:09:56,600 Speaker 1: It's pretty intimate, right, Okay, like someone you know, someone 154 00:09:56,679 --> 00:09:59,520 Speaker 1: in between your toes, Like you know that's not somewhere 155 00:09:59,520 --> 00:10:03,360 Speaker 1: where you us we have someone? Yeah, what's the last 156 00:10:03,400 --> 00:10:06,840 Speaker 1: time you've washed between your toes too? Every night? Because 157 00:10:06,880 --> 00:10:10,640 Speaker 1: I'm a little freak. And your belly button dogs listeners, 158 00:10:10,640 --> 00:10:13,120 Speaker 1: If you're not cleaning out your billy buttons, y'all need 159 00:10:13,160 --> 00:10:15,520 Speaker 1: to start doing it. I'm tired of finding stuff and 160 00:10:15,559 --> 00:10:22,000 Speaker 1: men butts just by accident. How deep is this thing? 161 00:10:22,400 --> 00:10:31,800 Speaker 1: That's where my my airpodus, my vape pen just small 162 00:10:31,880 --> 00:10:35,000 Speaker 1: but damn yeah, but wait, where do you what part 163 00:10:35,040 --> 00:10:36,320 Speaker 1: of l A do you live in? Because I actually 164 00:10:36,360 --> 00:10:41,079 Speaker 1: need I actually needed West Hollywood. Okay, so there's like 165 00:10:41,240 --> 00:10:47,440 Speaker 1: on like by sunset between Librea and and Gardner, there's 166 00:10:47,480 --> 00:10:51,440 Speaker 1: like a whole bunch of spots like four mm. Were 167 00:10:51,480 --> 00:10:55,200 Speaker 1: you also asking me to about where I live so 168 00:10:55,520 --> 00:10:58,719 Speaker 1: my wife could give you a foot massage that you're like, 169 00:10:58,760 --> 00:11:01,920 Speaker 1: where do you live? What a brag? You got a wife? 170 00:11:02,880 --> 00:11:09,160 Speaker 1: I just start resenting that. Okay, you a wife, that's great. 171 00:11:10,960 --> 00:11:15,439 Speaker 1: What is something that you think is overrated? The concept 172 00:11:15,520 --> 00:11:19,439 Speaker 1: of I'll sleep when I'm dead? Yeah, I go nuts 173 00:11:19,480 --> 00:11:22,880 Speaker 1: every time I hear that, because it's like, that's not 174 00:11:22,920 --> 00:11:28,360 Speaker 1: how sleep works, right, It's and I mean it's like, okay, 175 00:11:28,320 --> 00:11:32,360 Speaker 1: if you don't sleep, you'll probably die. It's it's just 176 00:11:32,600 --> 00:11:35,680 Speaker 1: long term. It's just not a good idea. So I 177 00:11:35,720 --> 00:11:40,160 Speaker 1: don't know. I think there's a lot of like hustle 178 00:11:40,280 --> 00:11:45,000 Speaker 1: mentality here in this industry, and I don't know. I 179 00:11:45,120 --> 00:11:49,719 Speaker 1: just for me, self care is very foundational. So I mean, 180 00:11:49,760 --> 00:11:51,880 Speaker 1: hence the foot rubs. I haven't had one in a while. 181 00:11:51,920 --> 00:11:54,400 Speaker 1: So I was like, let me treat myself, but like, yeah, 182 00:11:54,520 --> 00:11:56,640 Speaker 1: just the whole I'll sleep when I'm dead. I was like, 183 00:11:56,640 --> 00:12:00,840 Speaker 1: that doesn't even make any sense. Fucky, should we had 184 00:12:00,880 --> 00:12:03,080 Speaker 1: for your body? Yeah? I was gonna say, should we 185 00:12:03,200 --> 00:12:07,040 Speaker 1: let the people who say that believe that so that 186 00:12:07,160 --> 00:12:10,120 Speaker 1: they do go ahead and die? But then we can 187 00:12:10,200 --> 00:12:13,200 Speaker 1: just know, like behind their back, like no, it's not 188 00:12:13,240 --> 00:12:16,439 Speaker 1: true to anybody they're talking to. Because I do feel 189 00:12:16,440 --> 00:12:19,760 Speaker 1: like the people who say that are the worst. But 190 00:12:20,600 --> 00:12:24,840 Speaker 1: I feel like the people for some reason, like on Instagram, 191 00:12:24,920 --> 00:12:28,800 Speaker 1: my algorithm now is all these weird workout bros and 192 00:12:29,040 --> 00:12:32,280 Speaker 1: weird memes that are clearly troll memes, but it's like 193 00:12:33,120 --> 00:12:36,400 Speaker 1: trust a little bit, but you'll get hurt. And it's like, 194 00:12:36,920 --> 00:12:40,920 Speaker 1: for my Instagram algorithm is toxic. Like I'm getting weird 195 00:12:41,040 --> 00:12:43,320 Speaker 1: car things like Elon Musk, and I was like, what 196 00:12:43,360 --> 00:12:46,040 Speaker 1: the fund is happening here? I think the people that 197 00:12:46,080 --> 00:12:48,680 Speaker 1: are like I'll sleep when I'm dead are the same 198 00:12:48,760 --> 00:12:52,240 Speaker 1: kind of like Instagram guys, I'm gonna try to find 199 00:12:52,240 --> 00:12:54,520 Speaker 1: one while we're on the phone, while we're on the 200 00:12:54,600 --> 00:12:58,079 Speaker 1: phone while we're podcasting. But it's like, how these gym 201 00:12:58,120 --> 00:13:00,559 Speaker 1: bros who are like sleep when you're dead. You have 202 00:13:00,679 --> 00:13:04,200 Speaker 1: two choices in life, Yeah, tackle life or stay in 203 00:13:04,280 --> 00:13:10,040 Speaker 1: bed and quote Rogan all the time. Yeah, like those 204 00:13:10,080 --> 00:13:12,160 Speaker 1: are the sleep when you're They're the same people they 205 00:13:12,160 --> 00:13:15,600 Speaker 1: want to be. Elon Musk. There's this thing that emerged 206 00:13:16,160 --> 00:13:18,720 Speaker 1: last year in one you see how good I am 207 00:13:18,760 --> 00:13:22,360 Speaker 1: at this recording for the Future, where like I think 208 00:13:22,400 --> 00:13:24,720 Speaker 1: I think it was one where like we started finding 209 00:13:24,720 --> 00:13:27,200 Speaker 1: out that Mark Wahlberg wakes up like two thirty in 210 00:13:27,240 --> 00:13:29,720 Speaker 1: the morning to start his day with like an eight 211 00:13:29,720 --> 00:13:32,480 Speaker 1: hour workout, the same as true of the Rock. And 212 00:13:32,840 --> 00:13:38,680 Speaker 1: I almost feel like they are doing what I what 213 00:13:38,840 --> 00:13:41,160 Speaker 1: I was suggesting, where they're just like making fun of 214 00:13:41,200 --> 00:13:43,640 Speaker 1: the people who are like sleep when you're dead and 215 00:13:43,720 --> 00:13:46,760 Speaker 1: just like getting them to do something really unhealthy for 216 00:13:47,200 --> 00:13:49,880 Speaker 1: their bodies by waking up that early, because that that 217 00:13:49,920 --> 00:13:51,880 Speaker 1: can't be good for you. Nobody can wake up at 218 00:13:51,880 --> 00:13:55,160 Speaker 1: two thirty unless you're going to bed at like five 219 00:13:55,200 --> 00:13:58,920 Speaker 1: in the afternoon. That's you and you're hitting a man 220 00:13:59,000 --> 00:14:03,800 Speaker 1: with your car, right Mark Walbrigg has hit so many 221 00:14:03,800 --> 00:14:08,960 Speaker 1: people with his car, just completely sleep deprived, just has 222 00:14:09,080 --> 00:14:12,720 Speaker 1: like a fleet of cars of fixers behind him who 223 00:14:12,720 --> 00:14:15,400 Speaker 1: are like handing out money. But yeah, the sleep when 224 00:14:15,400 --> 00:14:19,520 Speaker 1: you're dead thing, I feel like demonstrates are pretty wild 225 00:14:19,600 --> 00:14:24,840 Speaker 1: misunderstanding of both sleep and death, Like those are the 226 00:14:24,880 --> 00:14:28,720 Speaker 1: same thing. Yeah, it's like you're not you're not going 227 00:14:28,880 --> 00:14:31,840 Speaker 1: night night and then waking up to twelve hours later. 228 00:14:32,320 --> 00:14:35,320 Speaker 1: I was I'm saying twelve hours because not ever sleeping, 229 00:14:35,360 --> 00:14:38,480 Speaker 1: you're gonna want to sleep. I mean like, yeah, when 230 00:14:38,480 --> 00:14:42,359 Speaker 1: you're dead, you decompose. You know, when you're sleeping, you regenerate. 231 00:14:42,560 --> 00:14:44,840 Speaker 1: So it's a very different the kind of the opposite. 232 00:14:45,040 --> 00:14:47,160 Speaker 1: I'd like to share this that I just got off 233 00:14:47,200 --> 00:14:50,480 Speaker 1: my Instagram algorithms. It's a little bit of the opposite. 234 00:14:50,560 --> 00:14:52,600 Speaker 1: But I'm also I think we've talked about this on 235 00:14:52,640 --> 00:14:56,120 Speaker 1: a on a previous maybe we offer maybe listeners. We 236 00:14:56,200 --> 00:14:59,400 Speaker 1: might have offline about this. But I was going through 237 00:14:59,400 --> 00:15:02,800 Speaker 1: a breakup and I follow this account like young Pablo, 238 00:15:03,160 --> 00:15:08,360 Speaker 1: and it's just like mindfulness, you know, passages, but now 239 00:15:08,440 --> 00:15:13,600 Speaker 1: the algorithm is like, you're fucking depressed, you're a fucking dyke, 240 00:15:13,720 --> 00:15:16,680 Speaker 1: so we know what you want. And it's all super 241 00:15:16,760 --> 00:15:21,760 Speaker 1: codependent memes wrapped up in therapy terms or like they're 242 00:15:21,880 --> 00:15:24,720 Speaker 1: like Poe therapy. But it's like this one says, a 243 00:15:24,800 --> 00:15:27,920 Speaker 1: girl is happiest when she knows you make her your 244 00:15:27,960 --> 00:15:32,600 Speaker 1: everything in front of everyone every time. Author unknown, But 245 00:15:32,680 --> 00:15:38,120 Speaker 1: it's from his secret, from his secret obsession. I'm like, 246 00:15:38,240 --> 00:15:43,120 Speaker 1: what who is this? Who? Oh, here's one. Sorry, I 247 00:15:43,160 --> 00:15:46,040 Speaker 1: know this is I'm getting off tangent. But if a 248 00:15:46,120 --> 00:15:48,920 Speaker 1: man doesn't call you, it's because he doesn't want to 249 00:15:48,920 --> 00:15:51,440 Speaker 1: call you. If he doesn't invite you to go outside, 250 00:15:51,560 --> 00:15:53,480 Speaker 1: it's because he doesn't want to see. If he doesn't 251 00:15:53,520 --> 00:15:58,040 Speaker 1: invite you to go outside, he got your wife. I 252 00:15:58,080 --> 00:16:04,040 Speaker 1: gotta start. I gotta start inviding girls outside. Come outside. Hey, 253 00:16:04,160 --> 00:16:07,320 Speaker 1: I'm asking you to come outside. Call you out with 254 00:16:07,880 --> 00:16:10,720 Speaker 1: what's up? Girl? You're gonna come outside? I need to 255 00:16:10,720 --> 00:16:14,880 Speaker 1: come outside. Yeah. If he treats you like shit, it's 256 00:16:14,960 --> 00:16:17,640 Speaker 1: because he doesn't care. If he lets you go, it's 257 00:16:17,640 --> 00:16:20,160 Speaker 1: because he doesn't want to be with you. When a 258 00:16:20,160 --> 00:16:22,520 Speaker 1: man says I'm not ready, but you're the love of 259 00:16:22,640 --> 00:16:25,120 Speaker 1: my life and the only one I want. But now 260 00:16:25,200 --> 00:16:27,960 Speaker 1: it's not the right time, it's simply because he doesn't 261 00:16:28,000 --> 00:16:32,120 Speaker 1: want you. Don't keep playing his confusing games. Don't justify him. 262 00:16:33,080 --> 00:16:35,840 Speaker 1: Usually I'm gonna get this is so so much, But 263 00:16:35,920 --> 00:16:38,000 Speaker 1: it's always at the end of these things, it's always 264 00:16:38,000 --> 00:16:41,320 Speaker 1: some ad for like a game. Do y'all do y'all 265 00:16:41,320 --> 00:16:44,480 Speaker 1: get those algorithms yet? I mean I don't, but I 266 00:16:44,840 --> 00:16:47,400 Speaker 1: have to stay off Instagram sometimes for my own mental 267 00:16:47,400 --> 00:16:50,760 Speaker 1: health because I if I saw that, I think it 268 00:16:50,800 --> 00:16:53,240 Speaker 1: would just ruin my whole day. I don't know why 269 00:16:53,240 --> 00:16:55,800 Speaker 1: no girls are not asking me to go outside? How come? 270 00:16:55,960 --> 00:16:57,680 Speaker 1: How does the bach one always has to be like, 271 00:16:57,720 --> 00:17:01,120 Speaker 1: you want to go outside? I was like, y'all a listening, 272 00:17:01,920 --> 00:17:06,680 Speaker 1: you need to be asking your butches s right, yeah, 273 00:17:07,720 --> 00:17:12,439 Speaker 1: this is okay, I'm sorry, comes to your window, throws 274 00:17:12,520 --> 00:17:15,160 Speaker 1: little rocks at it, and then asks you to come outside. 275 00:17:15,359 --> 00:17:18,600 Speaker 1: That's we've all. That's how courting, courtship works. That's what 276 00:17:18,680 --> 00:17:23,000 Speaker 1: Melissa is about. Come to my window and guess what 277 00:17:23,200 --> 00:17:28,200 Speaker 1: if a man ain't saying come outside, haities, move on, 278 00:17:28,720 --> 00:17:35,040 Speaker 1: he don't want to see you girls listeners, look boys, 279 00:17:35,880 --> 00:17:38,879 Speaker 1: other gays. If the other gays and saying come outside, 280 00:17:39,080 --> 00:17:42,119 Speaker 1: they don't want to be. If he doesn't give you food, 281 00:17:42,160 --> 00:17:47,280 Speaker 1: he doesn't want you to eat. If he says also 282 00:17:47,440 --> 00:17:49,439 Speaker 1: these both, if he says he loves you and he 283 00:17:49,480 --> 00:17:50,879 Speaker 1: only wants to be with you, but right now is 284 00:17:50,880 --> 00:17:52,480 Speaker 1: the right time and he can't be with anybody, but 285 00:17:52,520 --> 00:17:53,960 Speaker 1: he really wants to be with you. But if he 286 00:17:54,000 --> 00:17:55,800 Speaker 1: could be with anybody, because he loves to show much, 287 00:17:55,920 --> 00:18:01,280 Speaker 1: he's not the right one. It's like massive float chart. 288 00:18:04,000 --> 00:18:08,120 Speaker 1: He's anxious avoidant. One's like a massive thing that goes 289 00:18:08,200 --> 00:18:10,320 Speaker 1: to like he's not the right one. One goes directly 290 00:18:10,359 --> 00:18:12,720 Speaker 1: to he's not the right one. He doesn't let you 291 00:18:12,760 --> 00:18:18,000 Speaker 1: go outside. He's not the right one. Yes, what is 292 00:18:18,080 --> 00:18:21,359 Speaker 1: something that you think is underrated? Well, I mean I 293 00:18:21,440 --> 00:18:23,680 Speaker 1: don't mean to like, you know, be repetitive. I want 294 00:18:23,720 --> 00:18:27,480 Speaker 1: to circle back to a foot massage. Yeah. I can't 295 00:18:27,480 --> 00:18:30,399 Speaker 1: emphasize that enough. Soever. I hope you you have the 296 00:18:30,440 --> 00:18:34,199 Speaker 1: pleasure of enjoying one soon. You had mentioned that you 297 00:18:34,200 --> 00:18:38,680 Speaker 1: were looking for like local foot massage. Is there is there? 298 00:18:38,800 --> 00:18:44,240 Speaker 1: Like does Amazon have a have like a global foot massage? Like? 299 00:18:44,640 --> 00:18:49,600 Speaker 1: Is there? Yeah? Is there like the big business version 300 00:18:49,720 --> 00:18:52,480 Speaker 1: of foot massage? I'm sure there's an app where you 301 00:18:52,520 --> 00:18:54,920 Speaker 1: can just find people who you know, there's people who 302 00:18:54,920 --> 00:18:57,639 Speaker 1: are the you know, the tops and bottoms version of 303 00:18:57,640 --> 00:19:02,360 Speaker 1: foot massage, the receive her in the and the massage. Yeah, 304 00:19:02,400 --> 00:19:05,000 Speaker 1: if there's not, somebody's got about to make a lot 305 00:19:05,040 --> 00:19:08,120 Speaker 1: of money off of that. No, feet are big business, 306 00:19:08,640 --> 00:19:12,200 Speaker 1: you know, Like I mean, there's like wicked feet. It's 307 00:19:12,200 --> 00:19:15,320 Speaker 1: the whole I'm not seeing. There's not like a sexual thing. 308 00:19:15,800 --> 00:19:18,840 Speaker 1: It's I just really love the way it feels, and 309 00:19:18,880 --> 00:19:20,720 Speaker 1: I think it does have like there are more nerve 310 00:19:20,840 --> 00:19:23,880 Speaker 1: endings in your feet than anywhere else in the body. 311 00:19:24,320 --> 00:19:29,640 Speaker 1: Don't quote me on that, but I'll say that, Yeah, 312 00:19:29,720 --> 00:19:33,679 Speaker 1: there's definitely a thousands Yeah, yeah, it's definitely like a 313 00:19:33,760 --> 00:19:38,680 Speaker 1: foot rub feels weird and good in a way that 314 00:19:38,760 --> 00:19:43,679 Speaker 1: like no other like like BackRub or like you know, 315 00:19:43,800 --> 00:19:47,000 Speaker 1: other types of massage, really feel I feel like, I 316 00:19:47,040 --> 00:19:50,560 Speaker 1: will say, walking barefoot in the grass is pretty comparable 317 00:19:51,720 --> 00:19:58,400 Speaker 1: clean grass, no poopa grass. Hey, does your wife walk 318 00:19:58,440 --> 00:20:05,520 Speaker 1: in the grass for you ladies? The grass that he 319 00:20:05,560 --> 00:20:10,160 Speaker 1: don't want you to have legs? Right? That's I mean, absolutely, 320 00:20:10,520 --> 00:20:13,560 Speaker 1: that's exactly what that means. I stepped on a b 321 00:20:13,960 --> 00:20:17,000 Speaker 1: in the grass when I was a kid, and I 322 00:20:17,040 --> 00:20:20,480 Speaker 1: am only now waking up to the pleasure of walking 323 00:20:20,480 --> 00:20:23,040 Speaker 1: in the grass with bare feet because I was so 324 00:20:23,080 --> 00:20:26,880 Speaker 1: scared of getting a sting on my toesies for most 325 00:20:26,880 --> 00:20:29,040 Speaker 1: of my life. But it is a really nice feeling 326 00:20:29,280 --> 00:20:31,480 Speaker 1: all right, let's take a quick break and then we'll 327 00:20:31,520 --> 00:20:34,840 Speaker 1: come back and tell everybody exactly what is going to 328 00:20:34,880 --> 00:20:50,639 Speaker 1: happen in sounds great and we're back and all right, 329 00:20:50,760 --> 00:20:54,520 Speaker 1: so it's time for predictions. Like I said, we nailed 330 00:20:54,560 --> 00:20:59,080 Speaker 1: them last year, and uh did suggest that we were 331 00:20:59,119 --> 00:21:02,240 Speaker 1: going to develop as our eyes and that is that 332 00:21:02,280 --> 00:21:07,000 Speaker 1: one has yet to come true. But it's still early 333 00:21:07,080 --> 00:21:11,080 Speaker 1: where we're recording this. It's still December twenty two, so eventually, 334 00:21:11,480 --> 00:21:15,520 Speaker 1: you know, I expect that to happen, but should we 335 00:21:15,600 --> 00:21:18,160 Speaker 1: just like run through you know, we put together some 336 00:21:18,800 --> 00:21:22,439 Speaker 1: lists of predictions for the year two from you know, 337 00:21:22,720 --> 00:21:27,639 Speaker 1: esteemed journalistic outlets like pure Wow. I don't know what 338 00:21:27,760 --> 00:21:31,840 Speaker 1: that is, pure well dot com their prediction list, they said, 339 00:21:32,000 --> 00:21:35,320 Speaker 1: riding a wave of nostalgia, which I feel like we've 340 00:21:35,320 --> 00:21:37,639 Speaker 1: been doing. That's a that's a trend I've noticed with 341 00:21:37,680 --> 00:21:41,439 Speaker 1: a lot of these media list predictions as they just 342 00:21:42,000 --> 00:21:45,479 Speaker 1: find a trend that's been going on for twenty years 343 00:21:45,600 --> 00:21:49,760 Speaker 1: and they're like that that's happening for sure. So they 344 00:21:49,800 --> 00:21:52,280 Speaker 1: were like, hey, you're gonna see some reboots this year. 345 00:21:52,720 --> 00:21:55,920 Speaker 1: You're gonna see some stuff about like you know, period 346 00:21:55,960 --> 00:21:59,359 Speaker 1: pieces have you guys heard about these they're coming Yeah, 347 00:21:59,440 --> 00:22:07,480 Speaker 1: like it earn not get ready, Sunshine a Buttercup, Wake up, Buttercup, 348 00:22:07,600 --> 00:22:10,600 Speaker 1: because a wave of nostalgia is about to crash on 349 00:22:10,720 --> 00:22:16,080 Speaker 1: your ass. So rise of raunchy comedy. This one again 350 00:22:16,160 --> 00:22:18,680 Speaker 1: feels like something that has been happening on and off 351 00:22:18,800 --> 00:22:21,879 Speaker 1: for a while. But I do feel like maybe there's 352 00:22:21,920 --> 00:22:26,080 Speaker 1: been a lightning of the raunchy. That's how I feel. 353 00:22:26,200 --> 00:22:29,320 Speaker 1: Isn't wet hot American summer like coming to series on Hulu? 354 00:22:29,880 --> 00:22:31,639 Speaker 1: I mean, I mean I think it was on in 355 00:22:31,760 --> 00:22:35,840 Speaker 1: series on Netflix, like I don't know, three years ago. Yeah, 356 00:22:36,240 --> 00:22:40,919 Speaker 1: well it's coming back, Buttercup. So sorry to say ready, 357 00:22:41,960 --> 00:22:43,840 Speaker 1: I will say I don't think that's good news for 358 00:22:43,920 --> 00:22:46,199 Speaker 1: my mom because I said the word nipples around her 359 00:22:46,600 --> 00:22:49,040 Speaker 1: and she was like, don't say nipples. Oh my god, 360 00:22:49,080 --> 00:22:52,160 Speaker 1: you said nipples. Oh my gosh. Ever, my mom won't 361 00:22:52,160 --> 00:22:56,000 Speaker 1: say nipples either. She'll say the apex of the bust. Wow. 362 00:22:56,320 --> 00:23:00,080 Speaker 1: I mean that's so that's well put. Yeah, so I 363 00:23:00,080 --> 00:23:08,600 Speaker 1: guess that's a great definition. Yeahs the apex of the bust. 364 00:23:08,800 --> 00:23:12,960 Speaker 1: My apex is. But you know what if someone has 365 00:23:13,000 --> 00:23:15,760 Speaker 1: inverted nipples like that doesn't really work, does it? I 366 00:23:15,800 --> 00:23:18,600 Speaker 1: think it does still, because that's why I kind of 367 00:23:18,640 --> 00:23:21,760 Speaker 1: like it. If you even if you don't have nipples 368 00:23:21,800 --> 00:23:25,640 Speaker 1: like you're there is an apex of the bus. So 369 00:23:26,119 --> 00:23:29,760 Speaker 1: I think it's inclusive. I think it's descriptive, and I 370 00:23:29,800 --> 00:23:34,600 Speaker 1: applaud your your mom, but listeners, is it inclusive? Words 371 00:23:36,080 --> 00:23:41,120 Speaker 1: you decide coming in sorry and if it's not, sorry, 372 00:23:41,280 --> 00:23:46,680 Speaker 1: butter cup. Yeah, but that's what that's going to be. Yeah. 373 00:23:46,760 --> 00:23:49,960 Speaker 1: Something that people should know is that we're coming hard 374 00:23:50,080 --> 00:23:52,920 Speaker 1: in two. That's a prediction. We're going to be doing 375 00:23:52,960 --> 00:23:59,160 Speaker 1: a lot of you know, oh sorry sensitive. Yeah, that's 376 00:23:59,200 --> 00:24:02,439 Speaker 1: how the daily is, Like, it's just gonna is gonna ride. 377 00:24:03,080 --> 00:24:06,080 Speaker 1: We're gonna get our mothers to say nipples, yes, there 378 00:24:06,119 --> 00:24:09,479 Speaker 1: we go. So the two good predictions I thought they 379 00:24:09,520 --> 00:24:13,000 Speaker 1: made that I'm gonna agree with international content. You know, 380 00:24:13,040 --> 00:24:15,840 Speaker 1: the squid Game thing is going to continue to happen. 381 00:24:16,040 --> 00:24:20,800 Speaker 1: We're gonna see more and more international shows movies. I 382 00:24:20,800 --> 00:24:24,880 Speaker 1: feel like like we've it happened with movies with Parasite 383 00:24:25,080 --> 00:24:28,400 Speaker 1: and then with Squid Game. But I feel like more 384 00:24:28,400 --> 00:24:31,119 Speaker 1: and more it doesn't even need to just be like 385 00:24:31,320 --> 00:24:34,719 Speaker 1: new ones. People should just somebody needs to just be like, yo, 386 00:24:35,240 --> 00:24:41,560 Speaker 1: there is an entire like century of great international movies 387 00:24:41,720 --> 00:24:45,879 Speaker 1: and TV shows. They most of you haven't watched, so 388 00:24:46,200 --> 00:24:49,280 Speaker 1: here watched them. Now. I'm ready for them to remake 389 00:24:49,320 --> 00:24:54,000 Speaker 1: The Waltons. The Waltons. I'm gonna pull this up because 390 00:24:54,000 --> 00:24:56,520 Speaker 1: my mom has I just got my parents the Internet 391 00:24:56,560 --> 00:24:59,360 Speaker 1: and the fire stick, so my mom will be like 392 00:24:59,480 --> 00:25:02,720 Speaker 1: the wall Ends or horse movies. My mom keeps I 393 00:25:02,840 --> 00:25:04,760 Speaker 1: just taught her how to talk into the firestick in 394 00:25:04,880 --> 00:25:08,680 Speaker 1: social horse movies and scroll over and they're all bad. 395 00:25:08,840 --> 00:25:11,399 Speaker 1: And then she just always watches war Horse. We've a 396 00:25:11,720 --> 00:25:15,159 Speaker 1: war Horse twice. I've been here for two days. Um. 397 00:25:15,200 --> 00:25:18,840 Speaker 1: The Waltons is an American historical drama television series about 398 00:25:18,840 --> 00:25:21,840 Speaker 1: a family in rural Virginia during the Great Depression and 399 00:25:21,960 --> 00:25:25,640 Speaker 1: World War Two. It wasn't It was released in the seventies, 400 00:25:26,160 --> 00:25:30,480 Speaker 1: So okay, Blue Bridge Mountains, is that the wholesome show? 401 00:25:30,800 --> 00:25:34,480 Speaker 1: I think that's one of the shows that my parents 402 00:25:34,480 --> 00:25:36,720 Speaker 1: would quote when I was younger, and I didn't know 403 00:25:37,000 --> 00:25:39,480 Speaker 1: what the funk they were talking about. Like, I think 404 00:25:39,480 --> 00:25:43,240 Speaker 1: there was maybe a character named John Boy or something, 405 00:25:43,520 --> 00:25:47,639 Speaker 1: and they would call me John Boy because my name 406 00:25:47,760 --> 00:25:51,679 Speaker 1: is John officially and I did not like that, but 407 00:25:51,720 --> 00:25:53,560 Speaker 1: they seem to get a kick out of it, so 408 00:25:53,760 --> 00:25:59,040 Speaker 1: they loved it. Yeah, Waltons are coming back. And then 409 00:25:59,119 --> 00:26:02,119 Speaker 1: horse movies is a genre, you know, I think I 410 00:26:02,119 --> 00:26:07,959 Speaker 1: would add that into like the overrated category horse movies 411 00:26:08,200 --> 00:26:10,280 Speaker 1: people like, you know, every now and then. I like 412 00:26:10,320 --> 00:26:12,480 Speaker 1: a good horse movie as well. Who doesn't want a 413 00:26:12,560 --> 00:26:15,919 Speaker 1: nice spirit away get a horse? I love horses. I 414 00:26:15,920 --> 00:26:19,919 Speaker 1: do love horses. I love animals. But yeah, I don't know, 415 00:26:20,119 --> 00:26:22,560 Speaker 1: it's just something when I see like too many horses 416 00:26:22,560 --> 00:26:25,960 Speaker 1: in the marketing, like, I just I just like it 417 00:26:25,960 --> 00:26:29,879 Speaker 1: turns me off. One too many horses. Evers, mom did 418 00:26:29,960 --> 00:26:34,200 Speaker 1: just walk into the frame behind her and slashing motions. 419 00:26:38,200 --> 00:26:41,080 Speaker 1: I do love horses, It's just it's just as a genre. 420 00:26:41,760 --> 00:26:44,960 Speaker 1: I mean, I'm sure there's always an exception. But original 421 00:26:45,040 --> 00:26:51,320 Speaker 1: docuseries is another prediction, not not that they will suddenly 422 00:26:51,680 --> 00:26:57,040 Speaker 1: become a thing, but that they will keep getting good better. Yeah, 423 00:26:56,480 --> 00:27:00,600 Speaker 1: I feel like we are at it. I'm now where 424 00:27:00,600 --> 00:27:05,960 Speaker 1: there is enough footage to make a compelling docuseries about 425 00:27:06,640 --> 00:27:10,879 Speaker 1: everyone in the world. So like, because we're just constantly, 426 00:27:11,440 --> 00:27:15,320 Speaker 1: you know, taking videos and pictures of ourselves. So I'm 427 00:27:15,359 --> 00:27:20,720 Speaker 1: I'm expecting documentaries and docuseries to get better and better 428 00:27:20,960 --> 00:27:24,560 Speaker 1: in the coming years. It would be my pick. Ladies, 429 00:27:24,640 --> 00:27:26,439 Speaker 1: you only need to be coming to my window holleran 430 00:27:26,520 --> 00:27:29,440 Speaker 1: at me to come outside and watch an original docuseries. 431 00:27:29,480 --> 00:27:33,520 Speaker 1: Thank you, thank you. I'm just gonna say there is 432 00:27:33,560 --> 00:27:37,040 Speaker 1: one prediction that I do not like. I don't like that. 433 00:27:37,160 --> 00:27:40,119 Speaker 1: It's that says like it'll be television shows with like 434 00:27:40,200 --> 00:27:43,080 Speaker 1: older women on the forefront, you know which I think 435 00:27:43,119 --> 00:27:45,560 Speaker 1: that's great time for older women to shine people in 436 00:27:45,600 --> 00:27:48,360 Speaker 1: their forties, fifties and sixties. I don't like that they 437 00:27:48,520 --> 00:27:50,720 Speaker 1: use the sex in the city. Oh it's called and 438 00:27:50,880 --> 00:27:52,800 Speaker 1: just like that. I always keep calling it, like and 439 00:27:52,840 --> 00:27:55,280 Speaker 1: there we were, and like it happens again, like I 440 00:27:55,320 --> 00:27:59,399 Speaker 1: can't remember the new name. But it's so bad. It's like, really, 441 00:27:59,640 --> 00:28:03,520 Speaker 1: I've been again writing the wave of nostalgia. Oh my god, 442 00:28:04,280 --> 00:28:06,679 Speaker 1: it's the aura borus. The snake is eating itself. We 443 00:28:06,760 --> 00:28:10,040 Speaker 1: got older women riding the wave of nostalgia. And it's 444 00:28:10,080 --> 00:28:15,240 Speaker 1: the same gust damn and sensually comedy. They even mentioned 445 00:28:15,720 --> 00:28:19,720 Speaker 1: another country, so it's international content and the acting is 446 00:28:19,760 --> 00:28:23,520 Speaker 1: so good it might as well be a docuseries. Yeah, well, 447 00:28:23,600 --> 00:28:29,200 Speaker 1: she carries in a new podcast. So can we get 448 00:28:29,280 --> 00:28:36,040 Speaker 1: carry on? Yeah, get her on the character as a 449 00:28:36,040 --> 00:28:40,120 Speaker 1: as a guest. That is one of our predictions will 450 00:28:40,760 --> 00:28:45,000 Speaker 1: join as a guest. And yeah, we gotta ask her 451 00:28:45,000 --> 00:28:50,320 Speaker 1: about why shouldn't perform CPR. Yeah, she just I mean 452 00:28:50,880 --> 00:28:53,360 Speaker 1: like she didn't do anything. She didn't call like nine 453 00:28:53,400 --> 00:28:58,560 Speaker 1: one one, Like he was very much alive when she 454 00:28:58,640 --> 00:29:02,080 Speaker 1: got there. She got she came, she saw him and 455 00:29:02,120 --> 00:29:05,200 Speaker 1: she stood there for like ten seconds. Yeah. By the way, 456 00:29:05,280 --> 00:29:07,160 Speaker 1: if you guys are listening this, you're getting mad. This 457 00:29:07,200 --> 00:29:09,520 Speaker 1: is spoiler alert. You're all on the internet and you've 458 00:29:09,600 --> 00:29:11,840 Speaker 1: and you've all seen the spoiler alert by now, you've 459 00:29:11,880 --> 00:29:15,080 Speaker 1: all seen it on Twitter, Instagram, social media again. You 460 00:29:15,120 --> 00:29:16,840 Speaker 1: know what's so don't don't come at us in the 461 00:29:16,880 --> 00:29:21,840 Speaker 1: comments getting mad. Never felt less bad about spoiling something 462 00:29:22,040 --> 00:29:26,640 Speaker 1: because it's not good. I would say, yeah, it would 463 00:29:26,640 --> 00:29:31,040 Speaker 1: be my it's no Emily in Paris. Yeah, that's exactly 464 00:29:32,000 --> 00:29:34,360 Speaker 1: I haven't. I watched one episode of that and I said, 465 00:29:34,480 --> 00:29:37,800 Speaker 1: I'm supposed to feel bad. Yeah, now that is good 466 00:29:38,120 --> 00:29:41,320 Speaker 1: that you know. They talk about second screen content where 467 00:29:41,320 --> 00:29:43,640 Speaker 1: it's like supposed to be something you're doing in the background. 468 00:29:43,840 --> 00:29:46,360 Speaker 1: I think Emily in Paris is like fourth or fifth 469 00:29:46,400 --> 00:29:50,720 Speaker 1: screen content, where like you are watching something else while 470 00:29:50,760 --> 00:29:55,440 Speaker 1: doing something, while maybe doing a crossword puzzle, and then 471 00:29:55,800 --> 00:29:58,320 Speaker 1: like somewhere in the house Emily in Paris is on 472 00:29:58,520 --> 00:30:00,200 Speaker 1: and you like walk by it every once in while, 473 00:30:00,200 --> 00:30:03,120 Speaker 1: and you're like, and then you know, ignore like a 474 00:30:03,280 --> 00:30:09,760 Speaker 1: doctor's office yeah, exactly, doctor's office content. Yeah, but yeah, 475 00:30:09,800 --> 00:30:13,000 Speaker 1: it's first of all, not great, so you're not we're 476 00:30:13,040 --> 00:30:15,360 Speaker 1: not spoiling that much. Second of all, they came for 477 00:30:15,440 --> 00:30:19,959 Speaker 1: podcasts in a way that I found devastating. When she 478 00:30:20,040 --> 00:30:23,280 Speaker 1: said the podcasts or the new Jury Duty, I was like, well, 479 00:30:23,440 --> 00:30:25,600 Speaker 1: she said, oh, I didn't see that part, but Harry 480 00:30:25,640 --> 00:30:29,480 Speaker 1: is the voice of our generation. So we're fucked now, guys. 481 00:30:29,600 --> 00:30:32,400 Speaker 1: Now that she said that, I haven't watched the latest 482 00:30:32,400 --> 00:30:36,160 Speaker 1: episode where that where the one character to stand up, 483 00:30:36,320 --> 00:30:42,040 Speaker 1: but I heard it. That's just a general like there's 484 00:30:42,120 --> 00:30:47,000 Speaker 1: never been good like comedy like a Studio sixty on 485 00:30:47,040 --> 00:30:50,240 Speaker 1: the sunset strip, like or stand up when they're trying 486 00:30:50,280 --> 00:30:52,560 Speaker 1: to when they just like throw that in as an 487 00:30:52,560 --> 00:30:55,360 Speaker 1: extra thing, they're like, and then so we'll add this later. 488 00:30:55,400 --> 00:30:57,160 Speaker 1: But then at this point in the script they start 489 00:30:57,200 --> 00:31:03,360 Speaker 1: doing the best stand up you've ever heard that is 490 00:31:03,400 --> 00:31:06,520 Speaker 1: the character, like the actor an actual stand up. No, 491 00:31:08,160 --> 00:31:11,480 Speaker 1: I think they are the best actor on the show, 492 00:31:11,520 --> 00:31:15,640 Speaker 1: which isn't saying much. Or they were a doctor on 493 00:31:15,720 --> 00:31:21,600 Speaker 1: Gray's Anatomy Dr Torres Callie, Oh my god, Dr Kelly Torres. 494 00:31:21,640 --> 00:31:23,840 Speaker 1: For a minute, I was watching two episodes of Gray's 495 00:31:23,840 --> 00:31:27,400 Speaker 1: Anatomy at night during the quarantine. This this will be 496 00:31:27,400 --> 00:31:33,800 Speaker 1: my number one screen tonight night time. Alright. Moving down 497 00:31:33,840 --> 00:31:38,520 Speaker 1: the list of prediction shows, CNBC had one where they're like, 498 00:31:38,720 --> 00:31:44,560 Speaker 1: we asked media execs to predict industry shaking events. And 499 00:31:44,640 --> 00:31:46,960 Speaker 1: I didn't know what any of this ship meant other 500 00:31:47,040 --> 00:31:49,680 Speaker 1: than I think they said Apples going to buy a 501 00:31:49,720 --> 00:31:55,440 Speaker 1: TV movie studio, which sure, okay, yeah this advice is 502 00:31:55,440 --> 00:32:00,280 Speaker 1: going to be sold for pieces or something, and sure 503 00:32:00,400 --> 00:32:03,440 Speaker 1: that sounds bad for vice. But everything else was you know, 504 00:32:03,720 --> 00:32:06,760 Speaker 1: a lot of streaming stuff. But this just makes me 505 00:32:06,840 --> 00:32:10,800 Speaker 1: sad because it's just going to be. This reminds me 506 00:32:10,800 --> 00:32:14,160 Speaker 1: of Hollywood nepotism. This article. I was like, man, I 507 00:32:14,200 --> 00:32:19,000 Speaker 1: don't know this, Everybody's going to be I'm upset. Diet. Yeah, 508 00:32:19,400 --> 00:32:21,280 Speaker 1: we all just get real sad and real quiet for 509 00:32:21,320 --> 00:32:24,480 Speaker 1: a moment, yeah, oh yeah, at least you got a 510 00:32:24,560 --> 00:32:29,680 Speaker 1: wife and she wraps her feet. I mean, you guys 511 00:32:29,720 --> 00:32:32,200 Speaker 1: assumed that I was talking about my wife. It might 512 00:32:32,240 --> 00:32:36,840 Speaker 1: have been as all right, well, if you don't want 513 00:32:36,840 --> 00:32:38,040 Speaker 1: to talk about your wife, we don't have to talk 514 00:32:38,040 --> 00:32:41,040 Speaker 1: about your wife. My wife, my wife. It's just like 515 00:32:42,320 --> 00:32:47,080 Speaker 1: anytime I talk about her, I feel conflicted between saying 516 00:32:47,080 --> 00:32:53,760 Speaker 1: my wife and not and it's can you say Jack's wife? Yeah? 517 00:32:54,040 --> 00:32:57,200 Speaker 1: I could. IPSOS did a weird one where they don't 518 00:32:57,240 --> 00:32:59,480 Speaker 1: make predictions. They just pull people on what they think 519 00:32:59,520 --> 00:33:02,400 Speaker 1: will happen, and because they don't have the courage of 520 00:33:02,440 --> 00:33:06,520 Speaker 1: their convictions, so like they people think the rest of 521 00:33:06,520 --> 00:33:09,920 Speaker 1: the world will get vaccines, which I certainly fucking hope, 522 00:33:09,920 --> 00:33:12,760 Speaker 1: so you know, the pandemic won't be over until they do. 523 00:33:13,200 --> 00:33:15,840 Speaker 1: People think prices are going to increase faster than income, 524 00:33:15,920 --> 00:33:20,040 Speaker 1: which is another one of those for a while, Yeah, 525 00:33:21,000 --> 00:33:25,360 Speaker 1: that's not a decable prediction. Rise of the virtual world. 526 00:33:25,400 --> 00:33:27,360 Speaker 1: So this is the one that jumped out of me 527 00:33:27,520 --> 00:33:32,320 Speaker 1: because this is the prediction and possible eventuality that I 528 00:33:32,360 --> 00:33:37,000 Speaker 1: feel very uncomfortable with. That Like Mark Zuckerberg was right, 529 00:33:37,200 --> 00:33:39,840 Speaker 1: and like meta is going to become a thing, and 530 00:33:40,320 --> 00:33:43,680 Speaker 1: everyone's going to be walking around with their dumb little 531 00:33:43,680 --> 00:33:49,760 Speaker 1: avatars and in like meetings, and I hope not. I 532 00:33:49,800 --> 00:33:54,959 Speaker 1: don't think so, not for me, past I do. I 533 00:33:55,000 --> 00:33:58,200 Speaker 1: did see one on there about like the global conflict, 534 00:33:58,680 --> 00:34:00,600 Speaker 1: and one thing that kind of struck my that was 535 00:34:00,640 --> 00:34:04,640 Speaker 1: that there was it was almost like fifty well it's 536 00:34:04,680 --> 00:34:09,680 Speaker 1: thirty six, so a little bit more. No, but the 537 00:34:09,840 --> 00:34:15,160 Speaker 1: nuclear weapons would be used, and I kind of feels 538 00:34:15,239 --> 00:34:17,799 Speaker 1: like that's I would agree with that. And I also 539 00:34:18,000 --> 00:34:21,200 Speaker 1: one of my predictions is that Russia will fully invade 540 00:34:21,280 --> 00:34:24,839 Speaker 1: Ukraine this year and nobody will do shit about it. Yeah, 541 00:34:25,080 --> 00:34:27,760 Speaker 1: I'm calling it, y'all heard me call it. I dipped 542 00:34:27,760 --> 00:34:34,600 Speaker 1: it anyway, just as Sada. Yeah, moment, I would say, 543 00:34:34,680 --> 00:34:37,520 Speaker 1: that's kind of my overall prediction is like a continuing 544 00:34:37,640 --> 00:34:42,719 Speaker 1: on of bad things happening and everyone just kind of 545 00:34:42,719 --> 00:34:45,840 Speaker 1: looking around being like, is nobody going to do anything? 546 00:34:46,160 --> 00:34:49,279 Speaker 1: Like wait, so nobody can do anything. Nobody's going to 547 00:34:49,320 --> 00:34:54,000 Speaker 1: do anything. It's the Biden administration. Yeah, Like there's some 548 00:34:54,080 --> 00:34:57,719 Speaker 1: bad things we could have anyways. Alright, alright, alright, there's 549 00:34:57,760 --> 00:35:01,360 Speaker 1: this new Northwestern article where they like asked a bunch 550 00:35:01,400 --> 00:35:05,640 Speaker 1: of experts for their predictions two and it was by 551 00:35:05,680 --> 00:35:10,080 Speaker 1: far the most optimistic, so shout out to experts. They said, 552 00:35:10,120 --> 00:35:13,600 Speaker 1: we're entering the endemic phase, which I would love for 553 00:35:13,640 --> 00:35:18,120 Speaker 1: that to be true. And I don't know shit about virology, 554 00:35:18,280 --> 00:35:20,480 Speaker 1: so I'm hoping. I'm just gonna go with that. Bet 555 00:35:20,520 --> 00:35:35,319 Speaker 1: your wife does what she position, so she does. Diatris 556 00:35:35,480 --> 00:35:41,480 Speaker 1: is not a physician technically, Yeah, they're predicting transitions and energy. 557 00:35:41,560 --> 00:35:45,200 Speaker 1: That This was the one that made me wonder if 558 00:35:45,200 --> 00:35:48,839 Speaker 1: this is like there there seems to be this like 559 00:35:49,120 --> 00:35:56,000 Speaker 1: mainstream media, academic world idea that we still live in, 560 00:35:56,880 --> 00:36:02,359 Speaker 1: like the world of the Clinton administration, because they're just like, yeah, 561 00:36:02,400 --> 00:36:05,520 Speaker 1: the Biden administration has poised revolutionize our country is fight 562 00:36:05,560 --> 00:36:09,440 Speaker 1: against climate change via their two tiered infrastructure package. We 563 00:36:09,480 --> 00:36:11,920 Speaker 1: sit on the press post of federally back transitions and 564 00:36:12,040 --> 00:36:14,960 Speaker 1: energy and transport, and I just feel like, ah, that 565 00:36:14,960 --> 00:36:18,479 Speaker 1: would be great. What what makes you think that's going 566 00:36:18,520 --> 00:36:21,439 Speaker 1: to happen? What is like that would be great? Though? 567 00:36:21,640 --> 00:36:23,640 Speaker 1: I mean, at least that's that's one thing we can 568 00:36:23,680 --> 00:36:27,080 Speaker 1: put out. An expert thinks that there we're gonna really 569 00:36:27,120 --> 00:36:30,840 Speaker 1: make a dent in fossil fuels and like start moving 570 00:36:31,120 --> 00:36:35,640 Speaker 1: the needle in terms of climate change. That would be awesome, right, well, 571 00:36:35,680 --> 00:36:39,840 Speaker 1: we better be I know again, we fucking better. We 572 00:36:40,000 --> 00:36:42,719 Speaker 1: better be wake up, Buttercup, we better be breaking out, 573 00:36:42,760 --> 00:36:48,680 Speaker 1: that's right. And then there's an AI prediction again from 574 00:36:48,719 --> 00:36:54,200 Speaker 1: an expert again like this one, thank you apparently apparently 575 00:36:54,560 --> 00:36:58,440 Speaker 1: apparently and again and so to speak and here too. 576 00:36:58,520 --> 00:37:03,600 Speaker 1: For now they think that AI, you know, to this point, 577 00:37:03,640 --> 00:37:07,560 Speaker 1: it seems like AI has largely been used to serve 578 00:37:07,680 --> 00:37:13,359 Speaker 1: us better ads and like algorithmic like what people are 579 00:37:13,360 --> 00:37:17,600 Speaker 1: going to click on algorithm It seems to be what 580 00:37:17,600 --> 00:37:20,880 Speaker 1: what they're using it for. And this person is saying 581 00:37:20,920 --> 00:37:24,839 Speaker 1: that they're going to use AI to find better but 582 00:37:24,920 --> 00:37:29,960 Speaker 1: like alternative energy solutions. So that would be a pretty 583 00:37:30,000 --> 00:37:36,320 Speaker 1: cool that would be pretty nice solution AI like basically 584 00:37:36,320 --> 00:37:40,600 Speaker 1: taking down humanity, right yeah, yeah, it's gonna just you know, 585 00:37:40,800 --> 00:37:44,879 Speaker 1: make half of the population disappear like Panos and we'll 586 00:37:44,920 --> 00:37:48,880 Speaker 1: work from there. Problem solved. Yeah. No, it's like the 587 00:37:49,640 --> 00:37:53,120 Speaker 1: molecular structures the AI is going to help with. I 588 00:37:53,120 --> 00:37:55,800 Speaker 1: don't know, it sounded pretty cool. We've already talked about 589 00:37:55,840 --> 00:37:59,720 Speaker 1: on a previous episode how the takeout was predicting food 590 00:37:59,760 --> 00:38:02,600 Speaker 1: track ends. What one of them being popcorn. Have you 591 00:38:02,600 --> 00:38:06,439 Speaker 1: guys heard about this stuff? Popcorn? They think that's gonna 592 00:38:06,440 --> 00:38:11,080 Speaker 1: be a big snack in I had popcorn last night. 593 00:38:11,520 --> 00:38:17,040 Speaker 1: Oh so it's already Begune D called it the takeoff 594 00:38:17,920 --> 00:38:21,399 Speaker 1: nice all right, So we're gonna take a quick break 595 00:38:21,440 --> 00:38:24,759 Speaker 1: and then we're gonna come back and give our personal 596 00:38:25,200 --> 00:38:31,520 Speaker 1: and faded to be true predictions for the year. And 597 00:38:31,680 --> 00:38:35,560 Speaker 1: we put it at the end because we're good at teasing. 598 00:38:35,960 --> 00:38:38,600 Speaker 1: So we'll be right back and then you'll find out 599 00:38:38,600 --> 00:38:52,000 Speaker 1: what's going to happen this year. And we're back, and 600 00:38:52,680 --> 00:38:56,880 Speaker 1: let's just kind of do a around Robin, starting with you, ever, 601 00:38:57,160 --> 00:39:01,040 Speaker 1: what what's a what's a prediction beyond Russia invading Ukraine, 602 00:39:01,560 --> 00:39:07,279 Speaker 1: which already gave us, do you think is happening? Oh gosh, 603 00:39:07,719 --> 00:39:10,520 Speaker 1: I think we're going to get another six hundred dollar stimulus. 604 00:39:10,600 --> 00:39:15,680 Speaker 1: I don't have any good prediction. We're gonna get one 605 00:39:15,719 --> 00:39:21,799 Speaker 1: six stimulus checked during this American And I don't have 606 00:39:21,880 --> 00:39:24,680 Speaker 1: good what I usually try to be so optimistic and 607 00:39:24,719 --> 00:39:27,920 Speaker 1: I I just started an anti into president. It is 608 00:39:28,000 --> 00:39:31,319 Speaker 1: not kicking in yet. I'm still seeing reality I've never 609 00:39:31,400 --> 00:39:33,359 Speaker 1: been and I'm just like, you know, what, We're gonna 610 00:39:33,360 --> 00:39:36,239 Speaker 1: get a six hunder pound. We're gonna get a six underbound, dude, 611 00:39:36,280 --> 00:39:38,400 Speaker 1: if we were in London, a six hunder pound stimulus 612 00:39:38,480 --> 00:39:40,560 Speaker 1: will be pretty tight. I think we're gonna get a 613 00:39:40,560 --> 00:39:43,480 Speaker 1: six hundred dollar stimulus once, but we're really gonna need 614 00:39:43,520 --> 00:39:50,160 Speaker 1: it a week. Yeah, fizz, wha, what do you what 615 00:39:50,239 --> 00:39:54,000 Speaker 1: do you foresee? I think more boomers will accidentally say 616 00:39:54,120 --> 00:40:04,840 Speaker 1: racist ship accidentally and start intentionally saying it. Yeah, yeah, okay. 617 00:40:05,040 --> 00:40:08,040 Speaker 1: I think psychedelics will continue to grow in popularity and 618 00:40:08,080 --> 00:40:13,160 Speaker 1: cultural influence in two And I think this is my hope, 619 00:40:13,200 --> 00:40:16,880 Speaker 1: this is my optimistic hope. Miles has put a lot 620 00:40:16,960 --> 00:40:20,640 Speaker 1: of our listeners onto rep sneakers, like replica sneakers that 621 00:40:20,680 --> 00:40:26,160 Speaker 1: are almost as good as the the real thing, oftentimes 622 00:40:26,200 --> 00:40:30,000 Speaker 1: just as good, like made by the same people in 623 00:40:30,040 --> 00:40:33,759 Speaker 1: the same factory, just like not well, Nike is watching them. 624 00:40:34,080 --> 00:40:38,480 Speaker 1: I am hoping that there's a movement where everybody just 625 00:40:38,680 --> 00:40:42,120 Speaker 1: like does that with everything is just like fuck name 626 00:40:42,200 --> 00:40:45,879 Speaker 1: brands and just like start you know, I I like 627 00:40:45,960 --> 00:40:49,480 Speaker 1: we are two bought into like the official narrative of 628 00:40:49,640 --> 00:40:52,440 Speaker 1: capitalism and like what they want us to give a 629 00:40:52,440 --> 00:40:55,560 Speaker 1: shit about. And I'm hoping that people like rep Sneakers, 630 00:40:55,640 --> 00:40:58,960 Speaker 1: rep everything that is like name brand that people pay 631 00:40:58,960 --> 00:41:03,040 Speaker 1: way too much money for. I will say Russell Athletics always, 632 00:41:03,120 --> 00:41:07,319 Speaker 1: I'm a Russell boy for clothing brand. But I was 633 00:41:07,360 --> 00:41:10,440 Speaker 1: at a thrift shop here in Temple and I should 634 00:41:10,440 --> 00:41:13,080 Speaker 1: have bought it. It was only six dollars. It wasn't 635 00:41:13,320 --> 00:41:18,200 Speaker 1: there's a dog barking apologies and off White season fifteen 636 00:41:18,320 --> 00:41:24,000 Speaker 1: sixteen knockoff varsity jacket, and it was like, so, you know, 637 00:41:24,040 --> 00:41:26,400 Speaker 1: it was like so close, but it was like clearly 638 00:41:26,440 --> 00:41:28,560 Speaker 1: fake and they had washed it so many times it 639 00:41:28,640 --> 00:41:31,719 Speaker 1: was like pilling, and I was like, this wasn't really anyways, 640 00:41:31,760 --> 00:41:33,520 Speaker 1: it just was so I I wish I would have 641 00:41:33,520 --> 00:41:35,680 Speaker 1: bought it for the fake, for the knockoffs, for the 642 00:41:35,760 --> 00:41:39,320 Speaker 1: like dhl Gate. You know, I'm with that, Like fuck it, 643 00:41:39,560 --> 00:41:43,440 Speaker 1: I'm spend two thousand dollars. I was on a website 644 00:41:44,000 --> 00:41:46,719 Speaker 1: this morning and I was like, two thousand dollars for 645 00:41:46,800 --> 00:41:50,040 Speaker 1: a back leva what is it called. I'm not a 646 00:41:50,040 --> 00:41:57,720 Speaker 1: bock lever, but a Facebook US food man. Two thousand 647 00:41:57,719 --> 00:42:04,600 Speaker 1: dollars for a dessert wake up buttercup. Okay. On personal 648 00:42:04,640 --> 00:42:09,880 Speaker 1: on a personal prediction, I will sled squat a thousand pounds. 649 00:42:10,719 --> 00:42:13,200 Speaker 1: That sounds like a lot of pounds. I'm already as 650 00:42:13,320 --> 00:42:18,440 Speaker 1: six ten. Can I ask you what a sled squatch? 651 00:42:18,719 --> 00:42:27,479 Speaker 1: Squat squatch? A sled squatch. Soon as I get a wife, 652 00:42:27,480 --> 00:42:32,520 Speaker 1: I'm gonna call her my sled squatch sounds so it 653 00:42:32,560 --> 00:42:39,799 Speaker 1: sounds awful like a sled squatch. It is a it's 654 00:42:40,000 --> 00:42:42,080 Speaker 1: you know, you have the squat. It's different than the squad. 655 00:42:42,080 --> 00:42:44,440 Speaker 1: I gotta get my squats up. I want to squat one. 656 00:42:45,640 --> 00:42:48,200 Speaker 1: But sled presses where you're like kind of it looks 657 00:42:48,239 --> 00:42:51,680 Speaker 1: like you're a jet cockpit or like you're in some 658 00:42:51,719 --> 00:42:53,879 Speaker 1: kind of thing where you're like sitting down and your 659 00:42:53,960 --> 00:42:58,240 Speaker 1: legs are above you, so you pull them down instead 660 00:42:58,280 --> 00:43:00,759 Speaker 1: of standing up, you're laying down, and then the weight 661 00:43:00,840 --> 00:43:08,680 Speaker 1: goes down. Yeah, so you know, yeah, my six tin dog, 662 00:43:09,160 --> 00:43:13,239 Speaker 1: that's pretty impressive. Thinks like, in what increments are you 663 00:43:13,320 --> 00:43:16,000 Speaker 1: like going up? So like every month you do like 664 00:43:16,040 --> 00:43:20,960 Speaker 1: an extra hundred, So no, I try to um. What 665 00:43:21,080 --> 00:43:25,720 Speaker 1: I'll do is I'll do overloads. So and it takes 666 00:43:25,800 --> 00:43:28,319 Speaker 1: like thirty minutes on the machine. So I'll start at 667 00:43:28,400 --> 00:43:31,480 Speaker 1: like right now, I start at four fifty pounds. That's 668 00:43:31,520 --> 00:43:34,520 Speaker 1: warm up. And then I do that three sets of fifteen, 669 00:43:35,160 --> 00:43:39,400 Speaker 1: and then I'll like add another like build up, build up, 670 00:43:40,080 --> 00:43:42,560 Speaker 1: and tell like and then you know, on a Friday, 671 00:43:42,600 --> 00:43:47,120 Speaker 1: I'll try to max out and then the next week 672 00:43:47,560 --> 00:43:51,600 Speaker 1: I'll add ten fifteen to my starter. It's boring. I 673 00:43:51,600 --> 00:43:53,719 Speaker 1: don't know the math of it. I just read. I 674 00:43:53,760 --> 00:43:57,720 Speaker 1: just figure out my body and I'm like, okay, and 675 00:43:57,840 --> 00:44:00,160 Speaker 1: I do it because um, the bros that might him, 676 00:44:00,920 --> 00:44:03,359 Speaker 1: they always bogart the machines. And then this one guy 677 00:44:03,480 --> 00:44:05,600 Speaker 1: was looking at me dirty because I was like on 678 00:44:05,640 --> 00:44:10,279 Speaker 1: it for a long time, and you know, I could 679 00:44:10,320 --> 00:44:12,600 Speaker 1: tell he like wanted me to get off. And I 680 00:44:12,719 --> 00:44:15,080 Speaker 1: wasn't big greedy, but I was like, this is so boring. 681 00:44:15,120 --> 00:44:17,120 Speaker 1: I'm so sorry. I don't know I'm telling you all 682 00:44:17,160 --> 00:44:23,520 Speaker 1: this story. But the end of it is his like 683 00:44:24,560 --> 00:44:28,480 Speaker 1: max rep was my warm up rep. And now he 684 00:44:28,560 --> 00:44:35,000 Speaker 1: won't look at me. Yeah, guy, contact little South Pasadena bitch, 685 00:44:35,200 --> 00:44:42,520 Speaker 1: Wake up butter Cup, South Pasadena Buttercup just being so 686 00:44:42,600 --> 00:44:45,920 Speaker 1: awful right now. I would never call my wife a 687 00:44:47,440 --> 00:44:55,399 Speaker 1: squatch slit squatch, that's right, I'm sorry. All right, we'll 688 00:44:55,440 --> 00:44:58,840 Speaker 1: do a t d Z watch this space more non 689 00:44:59,120 --> 00:45:03,440 Speaker 1: TDZ show coming. Also, I think we will tour again 690 00:45:03,880 --> 00:45:06,520 Speaker 1: in two but we will be touring as part of 691 00:45:06,560 --> 00:45:10,960 Speaker 1: the cast of a very unsuccessful musical, So it'll be 692 00:45:11,000 --> 00:45:16,040 Speaker 1: canceled pretty quickly, and nobody can I direct that. Yeah, 693 00:45:16,120 --> 00:45:20,839 Speaker 1: we won't even be the leads, Like just just come 694 00:45:20,840 --> 00:45:23,759 Speaker 1: on like at one point fifteen minutes in and do 695 00:45:23,800 --> 00:45:26,239 Speaker 1: a quick plea a and then that'll be it. It'll 696 00:45:26,239 --> 00:45:30,799 Speaker 1: be the apex of the show. Yeah, exactly, the apex 697 00:45:31,040 --> 00:45:33,960 Speaker 1: of the bust. I mean that would actually be appropriate 698 00:45:34,000 --> 00:45:36,240 Speaker 1: if it was a bust show that didn't go anywhere, 699 00:45:36,440 --> 00:45:39,719 Speaker 1: then that would be the apex of the bush. Can 700 00:45:39,719 --> 00:45:41,719 Speaker 1: we talk about something right quick? I don't know if 701 00:45:41,719 --> 00:45:45,000 Speaker 1: we have time. I'm getting my apex is off by 702 00:45:46,360 --> 00:45:53,400 Speaker 1: getting surgery. Congratulations. This comes out January four janu Wow, yeah, 703 00:45:54,080 --> 00:46:01,799 Speaker 1: very soon. I'm excited. Hookah Broer that go fund me. 704 00:46:03,200 --> 00:46:05,360 Speaker 1: You have the link on you on the Graham Okay, 705 00:46:05,400 --> 00:46:08,319 Speaker 1: all right, well, also we will link off to that 706 00:46:08,360 --> 00:46:15,160 Speaker 1: in the show descript but absolutely no squat statues. I said. Anyways, 707 00:46:15,200 --> 00:46:16,880 Speaker 1: we don't got time to go about it. But apparently 708 00:46:16,880 --> 00:46:22,480 Speaker 1: I got to think about my apex placements. I never 709 00:46:22,520 --> 00:46:24,640 Speaker 1: even thought about that. But he's like, we're gonna put 710 00:46:24,680 --> 00:46:28,759 Speaker 1: your apexes and I was like, what, I was gonna 711 00:46:28,840 --> 00:46:37,720 Speaker 1: let the plastic surgion decide. Yeah, okay, so my search 712 00:46:37,840 --> 00:46:47,520 Speaker 1: history is just males like, oh gosh, well, congratulations that 713 00:46:47,640 --> 00:46:51,040 Speaker 1: is awesome. Yeah, that's dope because of what you got 714 00:46:51,080 --> 00:46:56,880 Speaker 1: for a personal recommendation or personal predict sheet, personal recommendations 715 00:46:56,960 --> 00:47:00,800 Speaker 1: for a place. But yeah, do you got for recommendation 716 00:47:01,200 --> 00:47:08,920 Speaker 1: or well I'm gonna be a super sled squash m. No, 717 00:47:09,320 --> 00:47:14,360 Speaker 1: I'm definitely gonna grow like a new chin hair. That's 718 00:47:14,440 --> 00:47:16,400 Speaker 1: that's gonna happen. No one tells you that. Sh it 719 00:47:16,520 --> 00:47:19,040 Speaker 1: happens in your thirties. No one talks about that, and 720 00:47:19,080 --> 00:47:23,480 Speaker 1: then the hormone changes. Yeah. Yeah, I'm just gonna But again, 721 00:47:23,520 --> 00:47:26,239 Speaker 1: that's sort of like taking a trend that's been going 722 00:47:26,280 --> 00:47:29,400 Speaker 1: on forever. I just contain so I'm not bringing anything 723 00:47:29,440 --> 00:47:33,839 Speaker 1: novel to the table here. Yeah yeah, yeah, what what 724 00:47:33,920 --> 00:47:36,759 Speaker 1: was I hadn't I had one of those those chin 725 00:47:36,840 --> 00:47:41,440 Speaker 1: hair bit got M. I don't like telling people, bitch, 726 00:47:41,480 --> 00:47:45,680 Speaker 1: I'm so sorry, this is a great personality that that 727 00:47:45,840 --> 00:47:50,759 Speaker 1: you're trying on for the year. But I'm just going 728 00:47:50,840 --> 00:47:59,480 Speaker 1: up to women's windows you want to go outside, so 729 00:48:00,280 --> 00:48:02,920 Speaker 1: more comedy creeps will have The other shoe drop was 730 00:48:03,040 --> 00:48:05,520 Speaker 1: one of mine that's like, yeah, that's been happening. But 731 00:48:05,600 --> 00:48:08,359 Speaker 1: I think more more creeps in general. But I feel 732 00:48:08,400 --> 00:48:12,560 Speaker 1: like we've got some karamity creeps coming out unfortunately. I 733 00:48:12,560 --> 00:48:20,239 Speaker 1: feel like this is a subtweet about me. Um wait 734 00:48:20,280 --> 00:48:24,440 Speaker 1: till you get the top surgery. Man, everyone's gonna be coming. 735 00:48:25,960 --> 00:48:30,560 Speaker 1: They better be. Yeah, by the life of the moon 736 00:48:30,600 --> 00:48:35,160 Speaker 1: and tat your window. But what else he got ever? 737 00:48:35,320 --> 00:48:37,320 Speaker 1: Any any other I think that we're going to have 738 00:48:37,360 --> 00:48:41,680 Speaker 1: a better Amtrak system. I do believe that somehow, this 739 00:48:43,000 --> 00:48:46,520 Speaker 1: some part of this FDR is better deal or whatever 740 00:48:46,680 --> 00:48:50,160 Speaker 1: the funk he's trying to like bidens like, you know, 741 00:48:50,280 --> 00:48:54,719 Speaker 1: it's good for the roads. Thing is gonna I think 742 00:48:54,760 --> 00:48:57,759 Speaker 1: we will get a better train system in America. I 743 00:48:57,800 --> 00:49:01,000 Speaker 1: think that'll be part of like the reduction of climate 744 00:49:01,640 --> 00:49:05,239 Speaker 1: harmful climate change. And I would hope that, I mean, 745 00:49:05,440 --> 00:49:07,040 Speaker 1: you know, we've been trying to get a bullet train 746 00:49:07,080 --> 00:49:11,279 Speaker 1: in California for thirty years, but I would hope that, 747 00:49:11,920 --> 00:49:14,600 Speaker 1: you know, that would be a thing that's going to happen, 748 00:49:14,800 --> 00:49:19,040 Speaker 1: or at least charging stations for more electric vehicles. You know, 749 00:49:19,160 --> 00:49:23,040 Speaker 1: even even you know, blue collar like Ford and like 750 00:49:23,080 --> 00:49:26,879 Speaker 1: other comples, like everybody thinks like you know electric, Yeah 751 00:49:26,880 --> 00:49:30,560 Speaker 1: it's Tesla, but you know, to be that asshole. M h. 752 00:49:31,640 --> 00:49:33,759 Speaker 1: I'd like to predict that people are going to turn 753 00:49:33,800 --> 00:49:38,400 Speaker 1: on Elon Musk, but just the the energy of the 754 00:49:39,360 --> 00:49:44,439 Speaker 1: like Instagram memes of people quoting, like attributing quotes from 755 00:49:44,440 --> 00:49:47,640 Speaker 1: Einstein to Elon Musk is like so strong. I just 756 00:49:48,400 --> 00:49:50,160 Speaker 1: I feel like it's going to take a little while. 757 00:49:50,320 --> 00:49:53,759 Speaker 1: For he's not doing the physics himself. He's got a 758 00:49:53,800 --> 00:49:56,000 Speaker 1: team of people. He's a rich guy. He's an investor. 759 00:49:57,880 --> 00:50:00,399 Speaker 1: He's a rich guy, and he's gone to be far. 760 00:50:00,560 --> 00:50:04,960 Speaker 1: Don't you know what? He was born with a room, 761 00:50:05,080 --> 00:50:07,879 Speaker 1: can rely on his old man's money, on his old 762 00:50:07,880 --> 00:50:12,279 Speaker 1: man's rubies. Rubies are emeralds. He like used to walk 763 00:50:12,320 --> 00:50:16,120 Speaker 1: around with one of those precious jewels in his pockets 764 00:50:16,239 --> 00:50:25,160 Speaker 1: because that's what I got, two precious jewels. I'm telling you, 765 00:50:25,280 --> 00:50:29,440 Speaker 1: just think about trying this on as a too. I 766 00:50:29,480 --> 00:50:31,080 Speaker 1: don't think this is going to help me out in 767 00:50:31,239 --> 00:50:34,560 Speaker 1: he way, but I'll do it at least on t 768 00:50:34,719 --> 00:50:36,480 Speaker 1: v Z. Every time you're on t v Z, I 769 00:50:36,520 --> 00:50:40,799 Speaker 1: love it. I will predict that when Democrats lose a 770 00:50:40,880 --> 00:50:44,560 Speaker 1: bunch in the mid term, they will blame progressives rather 771 00:50:44,640 --> 00:50:49,160 Speaker 1: than politicians who haven't been doing the stuff that they 772 00:50:49,160 --> 00:50:52,759 Speaker 1: said they were going to do. And you know, we'll 773 00:50:52,800 --> 00:50:56,439 Speaker 1: have to confront Trump's re election bit getting more and more. 774 00:50:57,040 --> 00:50:59,120 Speaker 1: I'm sure at times it will look very silly and 775 00:50:59,160 --> 00:51:01,839 Speaker 1: like it's not going to happen, but then always out 776 00:51:01,880 --> 00:51:05,239 Speaker 1: the first time. Yeah, then it will ultimately, you know, 777 00:51:05,360 --> 00:51:08,480 Speaker 1: as it gets closer and looks more and more likely, 778 00:51:08,960 --> 00:51:14,080 Speaker 1: there will be some turning on the progressives in particular 779 00:51:14,200 --> 00:51:18,920 Speaker 1: and the left. It will be the left's fault, according 780 00:51:18,920 --> 00:51:23,520 Speaker 1: to the mainstream media, would be my guess for twenty two. 781 00:51:23,920 --> 00:51:27,200 Speaker 1: I think there will be further legalization of weed, but 782 00:51:27,600 --> 00:51:29,960 Speaker 1: they're not gonna really do much about those who are 783 00:51:29,960 --> 00:51:32,680 Speaker 1: already serving, you know, who are incarcerated for it. So 784 00:51:32,840 --> 00:51:37,080 Speaker 1: that's frustrating. Yeah, my parents and I were just talking 785 00:51:37,080 --> 00:51:40,720 Speaker 1: about that. It's really fucked up. And I feel like Texas, 786 00:51:40,760 --> 00:51:42,919 Speaker 1: like I feel like people in Texas. No, it would 787 00:51:42,920 --> 00:51:45,520 Speaker 1: also help the economy here in Texas, but they won't. 788 00:51:45,719 --> 00:51:49,920 Speaker 1: They won't do ship to legalize it. But it's like whatever, man, 789 00:51:50,480 --> 00:51:55,919 Speaker 1: look this. I feel, Oh gosh, I think we're gonna 790 00:51:55,920 --> 00:51:59,560 Speaker 1: get another booster and we're gonna feel so good about it, 791 00:51:59,680 --> 00:52:02,600 Speaker 1: because it'll be like this one, is it, guys, and 792 00:52:02,640 --> 00:52:06,200 Speaker 1: then it won't. I get I don't have good predictions, guys. 793 00:52:06,440 --> 00:52:08,480 Speaker 1: I don't know. I don't happy and things for this 794 00:52:08,560 --> 00:52:11,759 Speaker 1: year anymore. I think we're going to get these boosters 795 00:52:11,800 --> 00:52:15,320 Speaker 1: every six months. M hmm. Yeah, it was going to 796 00:52:15,400 --> 00:52:22,240 Speaker 1: be like right exactly, but twice here. Yeah, that's my guess. 797 00:52:22,440 --> 00:52:25,600 Speaker 1: Stuck up on him. Now get seven. Now go to 798 00:52:25,600 --> 00:52:29,680 Speaker 1: Sepper walk round. I've been I'm a collector. I get 799 00:52:29,719 --> 00:52:33,000 Speaker 1: all the different brands. I guess a couple of Jan 800 00:52:33,080 --> 00:52:35,520 Speaker 1: J's at a time, one for my right arm, one 801 00:52:35,520 --> 00:52:43,680 Speaker 1: from my left arm, original, the J and j Ones, 802 00:52:43,960 --> 00:52:46,719 Speaker 1: you know, the classics, and then I got the J 803 00:52:46,840 --> 00:52:51,000 Speaker 1: and J threes when a ticker Hatfield started designing them. 804 00:52:51,320 --> 00:52:55,640 Speaker 1: What about the astro Zeneca the discontinued. Oh man, if 805 00:52:55,640 --> 00:52:58,480 Speaker 1: you got the astros Zeneca, keep that in a shoebox, 806 00:52:58,520 --> 00:53:01,279 Speaker 1: man in a class case, because I know I know 807 00:53:01,320 --> 00:53:05,480 Speaker 1: a guy. Yeah, he goes, uh, what when the astra 808 00:53:05,560 --> 00:53:12,200 Speaker 1: Zenicet dropped, he was there, he was on the streets 809 00:53:14,560 --> 00:53:18,839 Speaker 1: y'all think McDonald's will have a veggie burger. Yet they don't. 810 00:53:19,800 --> 00:53:23,839 Speaker 1: They don't do they have an impossible burger? I never 811 00:53:23,920 --> 00:53:28,000 Speaker 1: even realized that. Wow, yeah, Burger King does. Oh we 812 00:53:28,080 --> 00:53:32,120 Speaker 1: got they do at some locations. Well we need it everywhere. Yeah, 813 00:53:32,320 --> 00:53:33,560 Speaker 1: I don't know why. I just got mad at you're 814 00:53:33,560 --> 00:53:38,560 Speaker 1: produced back up. I'm so sorry. Well nice try back up, 815 00:53:38,600 --> 00:53:44,120 Speaker 1: but we needed anywhere. Okay, Okay, Pansy, I'm so sorry everyone, 816 00:53:46,760 --> 00:53:50,719 Speaker 1: Buttercup right, Well, you guys, it has been such a 817 00:53:50,719 --> 00:53:54,200 Speaker 1: pleasure having you both on the show PHYSA. Where can 818 00:53:54,239 --> 00:53:57,200 Speaker 1: people find you and follow you and all that good stuff? 819 00:53:57,480 --> 00:54:00,359 Speaker 1: They could just follow me at PHYSI de sny on 820 00:54:00,400 --> 00:54:03,560 Speaker 1: all the platforms f I Z A A d O 821 00:54:03,800 --> 00:54:05,920 Speaker 1: s A and I. I know my name sounds like 822 00:54:06,000 --> 00:54:14,799 Speaker 1: a carbonated drink with stupid spelling, but yes, so just Instagram, Twitter, clubhouse, 823 00:54:14,840 --> 00:54:17,600 Speaker 1: all that stuff at visit to sani Yea. Yeah, is 824 00:54:17,640 --> 00:54:20,200 Speaker 1: there a tweet or some of the work of social 825 00:54:20,239 --> 00:54:24,200 Speaker 1: media you've been enjoying. Yeah. Mohammed el Shaky, very funny comic, 826 00:54:24,239 --> 00:54:26,719 Speaker 1: tweeted something that made me laugh. He said, I can't 827 00:54:26,719 --> 00:54:28,600 Speaker 1: believe I have to sit inside my apartment and watch 828 00:54:28,680 --> 00:54:31,040 Speaker 1: Oh Macron live my dreams of moving to New York 829 00:54:31,080 --> 00:54:40,799 Speaker 1: and making it big so fast. Uh sorry, I'm just 830 00:54:41,680 --> 00:54:44,399 Speaker 1: I have family that's supposed to be visiting in two 831 00:54:44,480 --> 00:54:49,239 Speaker 1: days from New York and woke up with cold symptoms. 832 00:54:49,520 --> 00:54:52,520 Speaker 1: So oh, no telling my friend. I'm telling you, like, 833 00:54:52,600 --> 00:54:56,480 Speaker 1: get it tested because my friends they got the vaccine, 834 00:54:56,480 --> 00:54:58,520 Speaker 1: they got the booster. And then we were all together 835 00:54:58,560 --> 00:55:01,239 Speaker 1: in Austin and she was like, oh, I think I 836 00:55:01,239 --> 00:55:03,200 Speaker 1: have allergies or I might have a cold. I think 837 00:55:03,200 --> 00:55:04,880 Speaker 1: I need to go to the hotel. And I was like, 838 00:55:04,960 --> 00:55:08,919 Speaker 1: it's just cedar pollen. Pansy you butter cup, and then 839 00:55:08,920 --> 00:55:14,920 Speaker 1: it was it was bad covid. Well ever great having 840 00:55:14,960 --> 00:55:18,080 Speaker 1: you as guest co host. Where can people find you 841 00:55:18,120 --> 00:55:21,400 Speaker 1: and follow you? And what's the tweet you've been enjoying? 842 00:55:21,760 --> 00:55:28,000 Speaker 1: Thank you so much for letting me train wreck the podcast. UM. 843 00:55:28,040 --> 00:55:31,200 Speaker 1: I always enjoyed coming on UM. One thing that I 844 00:55:31,239 --> 00:55:35,640 Speaker 1: love is by Nicole Thurman. At Nicole Thurman, she said, 845 00:55:35,760 --> 00:55:39,480 Speaker 1: me turns on TV and then my mom, It's now 846 00:55:39,560 --> 00:55:42,279 Speaker 1: time for my one woman show, the loudest sounds in 847 00:55:42,320 --> 00:55:48,680 Speaker 1: the house, with special guests, frequent unnecessary questions because I'm 848 00:55:48,680 --> 00:55:50,880 Speaker 1: at my parents house right now. It's it's awesome because 849 00:55:50,920 --> 00:55:53,719 Speaker 1: like again, you know, it's like, okay, here we go. 850 00:55:53,760 --> 00:55:56,160 Speaker 1: And then can we get my mom on the podcast 851 00:55:56,239 --> 00:55:58,720 Speaker 1: and just have her explained a plot of movies? Because 852 00:55:59,280 --> 00:56:02,680 Speaker 1: I'm telling you right now it's I still don't know 853 00:56:02,719 --> 00:56:04,520 Speaker 1: the plot of war Horse, and I've watched it twice 854 00:56:04,560 --> 00:56:07,160 Speaker 1: and I've had her explained it to me three times, like, 855 00:56:07,920 --> 00:56:10,640 Speaker 1: oh my gosh, ever, please apologize to your mom. I 856 00:56:10,640 --> 00:56:13,799 Speaker 1: didn't mean to shade horse movie. You know, teach their own. 857 00:56:14,000 --> 00:56:17,640 Speaker 1: She loves a horse movie too late. Sorry. You know 858 00:56:17,719 --> 00:56:22,680 Speaker 1: I've evolved since I'm capable of that. Alright, So tweets 859 00:56:22,680 --> 00:56:26,160 Speaker 1: I've been enjoying. Karen Kilgarreff tweeted, just say what the 860 00:56:26,160 --> 00:56:29,280 Speaker 1: soup of the day is, while the Mystery Old Tom 861 00:56:29,440 --> 00:56:32,359 Speaker 1: at Yucky Tom tweeted reverse cow Girls so we can 862 00:56:32,400 --> 00:56:36,960 Speaker 1: both watch them up at Christmas. Carol uh Brandon Daily tweeted, 863 00:56:37,160 --> 00:56:39,279 Speaker 1: well I get the new COVID if I haven't seen 864 00:56:39,320 --> 00:56:42,680 Speaker 1: the first one. And then Josh Gondleman, I think this 865 00:56:42,800 --> 00:56:45,719 Speaker 1: is just a like a really good idea, he said, 866 00:56:45,719 --> 00:56:48,000 Speaker 1: I feel like we could cut the military budget down 867 00:56:48,040 --> 00:56:50,960 Speaker 1: to like eight hundred thousand dollars to pay for the 868 00:56:51,040 --> 00:56:54,320 Speaker 1: fancy buttons and hats, and the other countries would assume 869 00:56:54,320 --> 00:56:56,839 Speaker 1: the rest of it was still there and like, yes, 870 00:56:57,320 --> 00:56:59,520 Speaker 1: that is that is my wish, That is my hope 871 00:56:59,760 --> 00:57:02,800 Speaker 1: for of the year two is some outside the box 872 00:57:02,880 --> 00:57:05,680 Speaker 1: thinking like that. Anyways, you can find me on Twitter 873 00:57:05,719 --> 00:57:09,560 Speaker 1: at Jack Underscore O'Brien. Find us on Twitter at Daily Zeitgeist. 874 00:57:09,600 --> 00:57:12,320 Speaker 1: We're at the Daily Zeitgeist on Instagram. We have Facebook 875 00:57:12,360 --> 00:57:15,120 Speaker 1: fan page on website Daily zeitgeist dot com where we 876 00:57:15,160 --> 00:57:18,480 Speaker 1: post our episodes and our footnotes where we link off 877 00:57:18,520 --> 00:57:21,360 Speaker 1: to the information that we talked about in today's episode, 878 00:57:21,640 --> 00:57:24,840 Speaker 1: as well as the song that we think you might enjoy. 879 00:57:25,000 --> 00:57:29,200 Speaker 1: And I am going to recommend beating down Your Blocked 880 00:57:29,280 --> 00:57:34,320 Speaker 1: by Mano Leo. The song Fucking Rules. It feels uh. 881 00:57:34,680 --> 00:57:38,160 Speaker 1: It really like brings me back to like Golden Arrow 882 00:57:38,280 --> 00:57:41,720 Speaker 1: West Coast Raft Like it just makes you feel invincible, 883 00:57:42,080 --> 00:57:45,480 Speaker 1: which you are not, but makes you feel that. Anyways, 884 00:57:45,640 --> 00:57:48,760 Speaker 1: The Daily Zeitgeist is a production of I Heart Radio. 885 00:57:48,800 --> 00:57:50,920 Speaker 1: For more podcast My Heart Radio, visit the I Heart 886 00:57:50,960 --> 00:57:53,520 Speaker 1: Radio app, Apple podcast, or wherever you listen to your 887 00:57:53,520 --> 00:57:55,760 Speaker 1: favorite shows. That is going to do it for us 888 00:57:55,760 --> 00:57:58,520 Speaker 1: this morning but we will be back this afternoon to 889 00:57:58,560 --> 00:58:01,600 Speaker 1: tell you what's trending, and we will talk to y'all then, 890 00:58:01,760 --> 00:58:03,720 Speaker 1: Right by c R.