1 00:00:02,840 --> 00:00:06,560 Speaker 1: Yeah, I'm expecting. I'm making preparations for mine, for myself 2 00:00:06,600 --> 00:00:11,600 Speaker 1: to just die in about five days time. I always 3 00:00:11,720 --> 00:00:14,640 Speaker 1: limp into the holiday party and then once it's over, 4 00:00:14,680 --> 00:00:17,840 Speaker 1: I just like go home and crawling to bed. I 5 00:00:17,840 --> 00:00:20,200 Speaker 1: don't know what kind of cold open you want. You 6 00:00:20,280 --> 00:00:22,360 Speaker 1: got a cold We've got a cold open. So this 7 00:00:22,480 --> 00:00:26,800 Speaker 1: is usually we do a cold open, and this time 8 00:00:26,840 --> 00:00:29,000 Speaker 1: we're just doing an open where we talk about miles 9 00:00:29,040 --> 00:00:33,640 Speaker 1: as cold because it's ah, I hear, folks. 10 00:00:33,720 --> 00:00:36,919 Speaker 2: That's why on Friday when we recorded that other year 11 00:00:37,000 --> 00:00:38,960 Speaker 2: end one, I was like I could feel it. 12 00:00:38,960 --> 00:00:42,400 Speaker 1: I was like, I'm naisily something happening? Yeah, you always 13 00:00:42,479 --> 00:00:45,440 Speaker 1: know before I get hit by. I'm like the guy 14 00:00:45,720 --> 00:00:49,080 Speaker 1: in the tsunami video who just like walks towards it 15 00:00:49,159 --> 00:00:57,920 Speaker 1: with the job look of curiosity on where does Sherlocke go? 16 00:00:58,040 --> 00:00:59,120 Speaker 1: What's happening? 17 00:00:59,200 --> 00:00:59,360 Speaker 3: Oh? 18 00:00:59,360 --> 00:01:01,760 Speaker 1: Wait, all of water? I've never seen one of those 19 00:01:02,240 --> 00:01:07,640 Speaker 1: away what are you doing? I mean so what? There's 20 00:01:07,680 --> 00:01:10,759 Speaker 1: one version of it where he's just like so dumb 21 00:01:11,080 --> 00:01:14,800 Speaker 1: and it's just like wow, It's like the nature equivalent 22 00:01:14,840 --> 00:01:19,200 Speaker 1: of like the rattling of keys. But the other version 23 00:01:19,280 --> 00:01:22,399 Speaker 1: is just like he knows what's happening, and he's like, well, 24 00:01:22,400 --> 00:01:24,399 Speaker 1: I might as well, just like fucking are you. 25 00:01:24,360 --> 00:01:27,280 Speaker 2: Trying to do that thing when you're when you're like surfing, 26 00:01:27,319 --> 00:01:28,880 Speaker 2: you're trying to get like past. 27 00:01:28,680 --> 00:01:34,280 Speaker 1: The break that would have been right over it. I 28 00:01:34,440 --> 00:01:35,320 Speaker 1: just jump over it. 29 00:01:35,400 --> 00:01:37,880 Speaker 2: Oh I ducked ove, right, I ducked dove right under 30 00:01:37,920 --> 00:01:39,640 Speaker 2: the fucking tsunami wave. 31 00:01:40,120 --> 00:01:50,520 Speaker 4: Yeah, hello the Internet, and welcome to this week friend edition. 32 00:01:50,960 --> 00:02:02,320 Speaker 1: Of Yeah all mile happened. We always limp in into 33 00:02:02,360 --> 00:02:07,000 Speaker 1: the holidays. At least one of us is usually sick. Yeah, 34 00:02:08,240 --> 00:02:12,480 Speaker 1: but you you latin on your You would be on 35 00:02:12,520 --> 00:02:14,600 Speaker 1: your ass. This cold would have put you on your 36 00:02:14,600 --> 00:02:17,080 Speaker 1: ass if you didn't have something going on with your back, 37 00:02:17,280 --> 00:02:20,440 Speaker 1: which which down. Yeah. 38 00:02:20,680 --> 00:02:25,000 Speaker 2: But you know what I have to suffer for for 39 00:02:25,120 --> 00:02:26,919 Speaker 2: the art, the art exactly. 40 00:02:27,080 --> 00:02:29,919 Speaker 1: You know that for you, the audience. I blame you, 41 00:02:29,960 --> 00:02:30,600 Speaker 1: the audience. 42 00:02:31,400 --> 00:02:35,000 Speaker 2: Oh I don't. I don't there, you don't. No, They're 43 00:02:35,040 --> 00:02:37,160 Speaker 2: the solution to all of my problems. So please be 44 00:02:37,320 --> 00:02:41,679 Speaker 2: kind and don't say sound like shit. I'm trying, both guys, 45 00:02:41,760 --> 00:02:45,320 Speaker 2: sounds like ship. Yeah, dude, terrible fucking sinus cold like 46 00:02:45,880 --> 00:02:48,040 Speaker 2: I've never had. I've never had anything like this. Usually 47 00:02:48,200 --> 00:02:50,440 Speaker 2: I don't get like sinus colds, but this was like, 48 00:02:51,240 --> 00:02:53,560 Speaker 2: really I felt like those commercials where the guy's head 49 00:02:53,600 --> 00:02:57,760 Speaker 2: isn't a vice. Oh yeah yeah, And then got into 50 00:02:57,800 --> 00:03:01,200 Speaker 2: like arguments with like, uh, pharmacist to be like I 51 00:03:01,280 --> 00:03:03,239 Speaker 2: just need the stuff with pseudo fedrin, and they're like, 52 00:03:03,280 --> 00:03:05,519 Speaker 2: we can't sell that to you right now. The pharmacy 53 00:03:05,560 --> 00:03:08,880 Speaker 2: isn't technically desperate, bro. I'm like, you are the pharmacy, 54 00:03:08,919 --> 00:03:11,600 Speaker 2: but like, no, the actual pharmacy because it's a control 55 00:03:11,680 --> 00:03:13,840 Speaker 2: So I'm like, I'm not a smurf out here trying 56 00:03:13,880 --> 00:03:17,040 Speaker 2: to fucking make frings blue, So just let me get 57 00:03:17,040 --> 00:03:18,880 Speaker 2: the pseudo and fucking make my way. 58 00:03:19,800 --> 00:03:22,919 Speaker 1: Is that a is smurf a word for people who 59 00:03:22,919 --> 00:03:25,239 Speaker 1: do math or you just was in blue? 60 00:03:25,360 --> 00:03:25,560 Speaker 4: Yeah? 61 00:03:25,560 --> 00:03:27,120 Speaker 2: I mean that's what they call them in Breaking Bad 62 00:03:27,280 --> 00:03:29,480 Speaker 2: in the first season when they had to go send 63 00:03:29,520 --> 00:03:31,880 Speaker 2: all the junkies to different pharmacies to get pseudo a 64 00:03:31,919 --> 00:03:34,880 Speaker 2: fedrian to make meth, They're like, just get some smurfs 65 00:03:34,880 --> 00:03:36,040 Speaker 2: to go nice. 66 00:03:36,160 --> 00:03:40,720 Speaker 1: Yeah. Anyway, all right, well you are gonna hopefully get 67 00:03:40,720 --> 00:03:43,960 Speaker 1: some rests, get some sleep. We're gonna do a quick 68 00:03:44,240 --> 00:03:47,280 Speaker 1: check in with what was trying to go over the weekend. First, 69 00:03:47,320 --> 00:03:49,320 Speaker 1: we like to let you get to know us a 70 00:03:49,360 --> 00:03:52,200 Speaker 1: little bit better, get to know each other a little 71 00:03:52,200 --> 00:03:55,760 Speaker 1: bit better. Yeah, by doing some trust falls and in 72 00:03:55,800 --> 00:04:00,800 Speaker 1: this case, telling each other what's something we think is underrated? Overrated? Uh, 73 00:04:00,920 --> 00:04:02,600 Speaker 1: you want me to go first, give you a little 74 00:04:02,600 --> 00:04:05,040 Speaker 1: break first, you want to go first? All right? Yeah? 75 00:04:05,200 --> 00:04:07,800 Speaker 1: What's what are you doing under under dude? 76 00:04:08,200 --> 00:04:12,600 Speaker 2: The two thousand and four holiday movies Surviving Christmas starring 77 00:04:12,640 --> 00:04:18,000 Speaker 2: Ben Affleck, James Gandolfini, Catherine O'Hara, and Christina Applegate. Wow 78 00:04:18,080 --> 00:04:20,920 Speaker 2: have you heard of this? I've heard this. I've totally 79 00:04:20,960 --> 00:04:21,400 Speaker 2: missed it. 80 00:04:21,400 --> 00:04:25,479 Speaker 1: It like just falls into the same category as Christmas 81 00:04:25,520 --> 00:04:29,839 Speaker 1: with the Cranks, the Family Stone Right, there's like those 82 00:04:30,800 --> 00:04:35,960 Speaker 1: ensemble Christmas movies that I think there's a Vince Vaughn one, 83 00:04:36,320 --> 00:04:37,000 Speaker 1: like five. 84 00:04:36,960 --> 00:04:39,960 Speaker 2: Chris Christmas with Reese Witherspoon. 85 00:04:39,560 --> 00:04:42,520 Speaker 1: Sorry to give him an extra Christmas basically yeah. 86 00:04:42,720 --> 00:04:45,000 Speaker 2: I mean it's so secret why Van Vaught only made. 87 00:04:44,800 --> 00:04:45,680 Speaker 1: It to three Christmas? 88 00:04:45,800 --> 00:04:50,480 Speaker 2: No secret. But this movie, like it was one of 89 00:04:50,520 --> 00:04:52,839 Speaker 2: those two thousand and four is an interesting time because 90 00:04:52,839 --> 00:04:56,000 Speaker 2: this is like my what sophomore year of college, so 91 00:04:56,120 --> 00:05:00,400 Speaker 2: I'm like deep into being off mainstream media. Like I'm 92 00:05:00,400 --> 00:05:04,120 Speaker 2: only watching like deep cut foreign movies, you know, thinking 93 00:05:04,200 --> 00:05:06,160 Speaker 2: you're deep in shit. So when this movie came out, 94 00:05:06,200 --> 00:05:09,279 Speaker 2: I'm like, yeah, I'm gonna go fucking see this nonsense. 95 00:05:09,560 --> 00:05:13,440 Speaker 1: I still haven't seen every ingmar Bergman movie. Okay, exactly exactly. 96 00:05:14,680 --> 00:05:17,000 Speaker 2: And this weekend we were looking for a movie, like 97 00:05:17,040 --> 00:05:19,200 Speaker 2: a holiday movie, and I was like, and there are 98 00:05:19,400 --> 00:05:21,200 Speaker 2: I go into every holiday movie and like it's gonna 99 00:05:21,200 --> 00:05:22,839 Speaker 2: be bad, So fuck it, let's watch this one. 100 00:05:23,080 --> 00:05:27,120 Speaker 1: This thing is so fucking bad it I thought I 101 00:05:27,160 --> 00:05:28,640 Speaker 1: thought it was so good. 102 00:05:28,920 --> 00:05:32,200 Speaker 2: No, like it's underrated in that Like I'm telling everyone 103 00:05:32,279 --> 00:05:34,640 Speaker 2: to see it because it's gonna fuck your head up 104 00:05:34,680 --> 00:05:38,479 Speaker 2: because James Gandalfini is basically playing Tony soprano and he's 105 00:05:38,520 --> 00:05:42,240 Speaker 2: married to Catherine O'Hara, and like it's such a that 106 00:05:42,520 --> 00:05:45,440 Speaker 2: duo in your mind that was already fucking me up. 107 00:05:45,480 --> 00:05:48,640 Speaker 2: I'm like, dude, Gandalfini's doing Tony and Catherine O'Hara's is 108 00:05:48,760 --> 00:05:52,040 Speaker 2: Catherine o'haring it up? Ben Afflex Perform. It's about a 109 00:05:52,080 --> 00:05:56,320 Speaker 2: millionaire who wants to like recapture his like you know, 110 00:05:56,480 --> 00:05:59,919 Speaker 2: lack of love childhood Christmas so he just goes to 111 00:06:00,080 --> 00:06:03,360 Speaker 2: his childhood home and pays this family like a quarter 112 00:06:03,440 --> 00:06:06,279 Speaker 2: million dollars just to play pretend for a few days. 113 00:06:06,760 --> 00:06:11,039 Speaker 2: And ben Affleck's character, like his four millionaire is Yeah, 114 00:06:11,240 --> 00:06:15,000 Speaker 2: it's manic. I've never seen Ben Affleck perform like this, 115 00:06:15,640 --> 00:06:19,760 Speaker 2: and it's cartoonish. The script is so bad, You're like, 116 00:06:20,000 --> 00:06:23,760 Speaker 2: how could this have been greenlit? But it's like a 117 00:06:23,800 --> 00:06:28,120 Speaker 2: treat because I'm like everyone like I like, individually Catherine 118 00:06:28,120 --> 00:06:31,800 Speaker 2: O'Hara and James Gandelfini. So it's really fun to watch 119 00:06:31,839 --> 00:06:34,200 Speaker 2: them in this thing with a script that has gone 120 00:06:34,200 --> 00:06:35,360 Speaker 2: completely off the rails. 121 00:06:36,360 --> 00:06:36,640 Speaker 1: Wow. 122 00:06:36,680 --> 00:06:39,880 Speaker 2: So I can't recommend it enough because it just seems 123 00:06:40,200 --> 00:06:44,159 Speaker 2: like it's just so obscure but has the payoff of 124 00:06:44,240 --> 00:06:47,320 Speaker 2: being really a fucking head scratcher in terms of how 125 00:06:47,400 --> 00:06:47,920 Speaker 2: bad it is. 126 00:06:47,960 --> 00:06:50,600 Speaker 1: Well, we now have we always do our year end 127 00:06:50,600 --> 00:06:54,640 Speaker 1: holiday party with a bad Christmas movie. Oh, throw that 128 00:06:54,720 --> 00:06:56,599 Speaker 1: on the background. We're I think it's I think this 129 00:06:56,680 --> 00:06:59,840 Speaker 1: is going to be our background Christmas movie Surviving Christmas, 130 00:07:00,040 --> 00:07:03,800 Speaker 1: which the like horror genre has to be pissed that 131 00:07:03,880 --> 00:07:06,679 Speaker 1: they got to the movie title Surviving Christmas. 132 00:07:06,720 --> 00:07:08,480 Speaker 2: Burder Are you are you looking it up right? Now 133 00:07:08,480 --> 00:07:10,040 Speaker 2: you check out that Rotten Tomato score. 134 00:07:10,520 --> 00:07:13,360 Speaker 1: I didn't look at the Rotten Tomatoes. There's a Wikipedia 135 00:07:13,600 --> 00:07:14,080 Speaker 1: check out. 136 00:07:14,200 --> 00:07:16,760 Speaker 2: Just google it so you can see what the baseline, 137 00:07:17,160 --> 00:07:24,960 Speaker 2: like critical reception was of this film. 138 00:07:25,080 --> 00:07:31,240 Speaker 1: We're at a eight. Wow, A wealthy executive Drew Latham 139 00:07:31,720 --> 00:07:34,800 Speaker 1: has no close relations and becomes nostalgic for his childhood home. 140 00:07:35,000 --> 00:07:37,760 Speaker 1: So it's just like he just goes to his home. 141 00:07:38,000 --> 00:07:40,800 Speaker 2: He goes to his home, and I don't even want 142 00:07:40,800 --> 00:07:44,120 Speaker 2: to reveal stuff because you're like, what the From the beginning, 143 00:07:44,120 --> 00:07:46,800 Speaker 2: you're just like, what the fuck is this movie? Like 144 00:07:46,840 --> 00:07:49,920 Speaker 2: what is happening? Is what I kept saying to myself 145 00:07:51,000 --> 00:07:54,320 Speaker 2: as I watched it. So, yeah, check it out. It's 146 00:07:54,360 --> 00:07:57,280 Speaker 2: not it will like it's it will not disappoint because 147 00:07:57,320 --> 00:07:59,160 Speaker 2: you're going to go into it expecting to see like 148 00:07:59,200 --> 00:08:02,520 Speaker 2: a fever dream of like this era. I think that 149 00:08:02,760 --> 00:08:05,920 Speaker 2: like two thousand, like that right after nine to eleven 150 00:08:06,000 --> 00:08:08,920 Speaker 2: to two thousand and five, like era of movies. 151 00:08:09,000 --> 00:08:12,280 Speaker 1: There's just a lot of weird we all lost our minds. Yeah, 152 00:08:12,440 --> 00:08:16,120 Speaker 1: the nation had lost his mind exactly. Yeah, check it out. 153 00:08:16,520 --> 00:08:19,480 Speaker 1: I'm going to and you're sure this is Yeah. I 154 00:08:19,480 --> 00:08:22,280 Speaker 1: did look up the Wikipedia first, just to make sure 155 00:08:22,320 --> 00:08:26,480 Speaker 1: it wasn't a fever dream that you had you had 156 00:08:26,480 --> 00:08:29,400 Speaker 1: been happening because you have a fever. Stephen Rood is 157 00:08:29,440 --> 00:08:31,360 Speaker 1: in it, Brian the Editor points out, So it can't 158 00:08:31,400 --> 00:08:34,839 Speaker 1: be all bad, all right, I got two underrated one 159 00:08:35,000 --> 00:08:37,960 Speaker 1: just ship that lasts. First of all, still wearing my 160 00:08:37,960 --> 00:08:42,079 Speaker 1: tuxedo I got married in sixteen years ago. It's been tailored. 161 00:08:42,360 --> 00:08:43,240 Speaker 1: I wear it every day. 162 00:08:43,520 --> 00:08:47,280 Speaker 2: Yeah, in case people are wondering, Yeah, we spend a 163 00:08:47,280 --> 00:08:49,760 Speaker 2: lot of money in post to digitally take the toxedo 164 00:08:49,800 --> 00:08:51,000 Speaker 2: off for the video episodes. 165 00:08:51,800 --> 00:08:54,720 Speaker 1: But it's been tailored like three times and it's still 166 00:08:54,960 --> 00:09:00,400 Speaker 1: hanging around. I also have this Christmas lights necklace that 167 00:09:00,440 --> 00:09:03,040 Speaker 1: we got at a drive in movie theater, like during 168 00:09:03,040 --> 00:09:05,640 Speaker 1: the pandemic. Remember when like that was just the thing 169 00:09:05,679 --> 00:09:10,160 Speaker 1: to do, was like go to drive in movie theaters. Yeah, 170 00:09:10,200 --> 00:09:13,240 Speaker 1: so they were selling Christmas ways of the Ancients Christmas 171 00:09:13,320 --> 00:09:17,120 Speaker 1: light necklaces. I got one, the sort of thing that 172 00:09:17,200 --> 00:09:19,920 Speaker 1: you would expect to be broken by the end of 173 00:09:19,960 --> 00:09:26,200 Speaker 1: the movie. We're five years later. That shit is still 174 00:09:26,320 --> 00:09:29,280 Speaker 1: lighting up a stab bring it out every Christmas. It's 175 00:09:29,520 --> 00:09:32,840 Speaker 1: but I think I just want to recommend Christmas light 176 00:09:33,320 --> 00:09:37,800 Speaker 1: necklaces are that They're just the easiest way to be Like, 177 00:09:37,960 --> 00:09:40,600 Speaker 1: and I'm going to a holiday party. I'm dressed normally 178 00:09:40,679 --> 00:09:42,440 Speaker 1: and now I'm going to a holiday party and I 179 00:09:42,480 --> 00:09:46,160 Speaker 1: have a holiday cheer. People really seem to enjoy it. 180 00:09:46,360 --> 00:09:49,960 Speaker 2: This human sacrifice graphic T shirt doesn't feel Christmas enough? 181 00:09:50,040 --> 00:09:53,200 Speaker 1: What about now? Okay? What about now? Baby? Oh? I 182 00:09:53,200 --> 00:09:57,120 Speaker 1: love the Christmas light that Wow, everybody says that word 183 00:09:57,160 --> 00:09:59,600 Speaker 1: for word if someone setting a manger on fire on 184 00:09:59,640 --> 00:10:04,800 Speaker 1: your teeth, Hey, but the manger is there. Yeah. I 185 00:10:04,840 --> 00:10:09,360 Speaker 1: also want to shout out the historic significance of Limp Biscuits. 186 00:10:09,400 --> 00:10:13,120 Speaker 1: Just one of those days. Wow. I encountered this song 187 00:10:13,160 --> 00:10:15,839 Speaker 1: over the weekend and it started like playing in my brain. 188 00:10:17,840 --> 00:10:18,640 Speaker 1: What's that? 189 00:10:18,640 --> 00:10:20,000 Speaker 2: That's a guitar bar? 190 00:10:20,559 --> 00:10:20,679 Speaker 4: Now? 191 00:10:21,320 --> 00:10:25,800 Speaker 1: Just those days and I was just thinking about it, 192 00:10:25,880 --> 00:10:31,000 Speaker 1: like Limp Biscuit as it relates to rage, like rage 193 00:10:31,000 --> 00:10:34,640 Speaker 1: against the machine dropped killing in the name in ninety two. 194 00:10:35,080 --> 00:10:38,200 Speaker 1: Limp Biscuits first album came out in ninety seven, and 195 00:10:38,720 --> 00:10:43,479 Speaker 1: I feel like they just filtered out the class consciousness 196 00:10:43,559 --> 00:10:48,200 Speaker 1: of rage and like just like in this song, Fred 197 00:10:48,280 --> 00:10:52,120 Speaker 1: Durst is mad because well, as you might remember, it's 198 00:10:52,200 --> 00:10:55,880 Speaker 1: just one of those days where wait, like it's like 199 00:10:55,960 --> 00:10:58,160 Speaker 1: a song about being grumpy and waking up on the 200 00:10:58,200 --> 00:11:02,280 Speaker 1: wrong side of the bed. He does specifically says like 201 00:11:02,559 --> 00:11:06,959 Speaker 1: in case you're hoping to get any sort of articulate 202 00:11:07,120 --> 00:11:11,800 Speaker 1: analysis of where the anger is coming from in his generation, 203 00:11:11,960 --> 00:11:14,920 Speaker 1: he specifically says, you don't really know why, but you 204 00:11:14,960 --> 00:11:21,679 Speaker 1: want to justify someone's head off, like specifically removing any 205 00:11:21,720 --> 00:11:27,760 Speaker 1: explanation any cause there's also like the refrain it's all 206 00:11:27,760 --> 00:11:30,760 Speaker 1: about that he said, she said bullshit. So it's just 207 00:11:30,880 --> 00:11:35,720 Speaker 1: like any attempt to analyze why people are angry is 208 00:11:35,920 --> 00:11:39,240 Speaker 1: just he said, she said bullshit. It's just all meaningless, 209 00:11:39,480 --> 00:11:44,440 Speaker 1: you know. So yeah, it just like taps into this 210 00:11:45,120 --> 00:11:49,440 Speaker 1: dissatisfaction that was like made fashionable and like potent to 211 00:11:49,480 --> 00:11:52,840 Speaker 1: buy rage against the machine and then is like, hey, 212 00:11:52,960 --> 00:11:57,200 Speaker 1: white guys, you can feel it too, and you know, 213 00:11:57,400 --> 00:12:01,400 Speaker 1: just try it on without any any sort. 214 00:12:01,200 --> 00:12:05,040 Speaker 2: Of I just yeah, almost, it feels like this is 215 00:12:05,120 --> 00:12:09,440 Speaker 2: the like you say, it's it's like rages down Rodeo 216 00:12:09,600 --> 00:12:13,400 Speaker 2: with no class consciousness at all. Generally, it's like yo, 217 00:12:13,440 --> 00:12:16,120 Speaker 2: you're like down Rodeo. We know what's we know what's 218 00:12:16,120 --> 00:12:17,120 Speaker 2: going on with down Rodeo. 219 00:12:17,200 --> 00:12:18,520 Speaker 1: This one. I just love. 220 00:12:18,559 --> 00:12:21,840 Speaker 2: I'm just looking at genius, at the lyrics, and again 221 00:12:22,360 --> 00:12:26,160 Speaker 2: Limp Biscuit doesn't need a genie, they needs no genius. 222 00:12:26,160 --> 00:12:32,480 Speaker 1: Anal it says, especially that looking up Limp Biscuit lyrics 223 00:12:32,480 --> 00:12:36,800 Speaker 1: on Genius is just a funny thing. It's just actually 224 00:12:36,960 --> 00:12:39,800 Speaker 1: just break the website. This is way more entertaining because 225 00:12:39,800 --> 00:12:40,640 Speaker 1: again that course. 226 00:12:40,559 --> 00:12:43,240 Speaker 3: All about that he said, she said, bullshit, I did 227 00:12:43,240 --> 00:12:46,160 Speaker 3: you better letting ship slip or you'll be leaving with 228 00:12:46,240 --> 00:12:46,840 Speaker 3: a fat. 229 00:12:46,679 --> 00:12:50,160 Speaker 2: Lip that fat Okay, all right, here's that annotation. He 230 00:12:50,280 --> 00:12:53,040 Speaker 2: suggests the person he's talking about should basically keep their 231 00:12:53,040 --> 00:12:56,240 Speaker 2: mouth shut and quit gossiping or talking shit or he's 232 00:12:56,280 --> 00:12:57,640 Speaker 2: going to punch you in the face. 233 00:12:57,840 --> 00:13:01,920 Speaker 1: Okay, thank you, And didn't figure it out, so shout 234 00:13:01,920 --> 00:13:05,400 Speaker 1: out to Olympus. I feel like maybe in the you know, 235 00:13:06,160 --> 00:13:10,440 Speaker 1: trajectory of America's descented to fascism, like they will be 236 00:13:10,720 --> 00:13:14,640 Speaker 1: an early kind of symbol that people could have been like, 237 00:13:14,720 --> 00:13:18,880 Speaker 1: oh yeah, that's because that is like, you know, fascism's 238 00:13:18,920 --> 00:13:26,000 Speaker 1: playbook is take the you know, esthetics of leftist and 239 00:13:26,080 --> 00:13:29,560 Speaker 1: like progressive policy and politics, and you know, take the 240 00:13:29,679 --> 00:13:35,319 Speaker 1: anger and then just remove any of the content, any 241 00:13:35,360 --> 00:13:38,640 Speaker 1: of the meaning and just like put it in the 242 00:13:38,720 --> 00:13:45,920 Speaker 1: name of reactionary bullshit. So hell yeah, dog, and that's 243 00:13:46,000 --> 00:13:47,920 Speaker 1: kind of cool, and that's kind of cool. 244 00:13:48,120 --> 00:13:49,280 Speaker 2: I'm off. 245 00:13:50,640 --> 00:13:54,760 Speaker 1: Yeah, I didn't watch the documentary about woodstockumentary, but I'm assuming, 246 00:13:55,160 --> 00:13:57,880 Speaker 1: I'm assuming they talk about some of this stuff. Dude. 247 00:13:58,040 --> 00:13:59,680 Speaker 1: It's vile. 248 00:14:00,760 --> 00:14:03,679 Speaker 2: Yeah, the whole thing, front to back, from just the 249 00:14:05,120 --> 00:14:09,080 Speaker 2: capitalist gouging to the lack of safety, all of it. 250 00:14:09,559 --> 00:14:13,320 Speaker 1: Yeah, pretty interesting though, right, It does feel like half 251 00:14:13,320 --> 00:14:14,160 Speaker 1: the artists. 252 00:14:13,880 --> 00:14:17,400 Speaker 2: They talked to just seemed deeply traumatized by even from 253 00:14:17,440 --> 00:14:18,240 Speaker 2: performing there. 254 00:14:18,840 --> 00:14:22,080 Speaker 1: Damn. Yeah, even Fred. I'm sure they talked to Fred, right. 255 00:14:22,240 --> 00:14:25,200 Speaker 2: Yeah, I can't remember, they must have, but I just 256 00:14:25,280 --> 00:14:27,360 Speaker 2: remember fat Boy Slim was like shook. 257 00:14:27,920 --> 00:14:31,480 Speaker 1: Yeah, just like the most evil like that. It that 258 00:14:31,760 --> 00:14:35,920 Speaker 1: was an early sign that we just ignored. Yeah, Brian 259 00:14:35,960 --> 00:14:38,040 Speaker 1: points out it it is kind of in the same 260 00:14:38,080 --> 00:14:42,880 Speaker 1: family as like fight Club Matrix office Space, where it 261 00:14:42,960 --> 00:14:47,000 Speaker 1: like taps into this dissatisfied white guy energy of the 262 00:14:47,080 --> 00:14:51,680 Speaker 1: late nineties. But yeah, they and like in office space, 263 00:14:51,760 --> 00:14:55,400 Speaker 1: like remember that opens with a white guy like listening 264 00:14:55,440 --> 00:14:58,960 Speaker 1: to gangster rap, like listening to rap music that has 265 00:14:59,080 --> 00:15:02,440 Speaker 1: like the energy and is like actually coming from a 266 00:15:02,480 --> 00:15:08,040 Speaker 1: place of like, you know, suffering and you know, class consciousness, 267 00:15:08,080 --> 00:15:12,280 Speaker 1: and he's just like appropriating it and he and he's 268 00:15:12,320 --> 00:15:15,320 Speaker 1: like using the anger to get mad at fucking photo 269 00:15:15,360 --> 00:15:16,120 Speaker 1: copy machines. 270 00:15:16,240 --> 00:15:19,680 Speaker 2: Yeah, oh my god, that was so fucking good. 271 00:15:19,720 --> 00:15:22,960 Speaker 1: Dude, what a time to be alive. Yeah, what's something, Miles? 272 00:15:22,960 --> 00:15:25,160 Speaker 1: Do you think it is overrated? Uh? 273 00:15:25,520 --> 00:15:29,840 Speaker 2: The the way fathers abandoned their families in the modern era, 274 00:15:30,560 --> 00:15:36,640 Speaker 2: now stick with me here again. In watching for Surviving Christmas, 275 00:15:36,920 --> 00:15:40,120 Speaker 2: there's this like there's a trope I forgot that we 276 00:15:40,160 --> 00:15:42,880 Speaker 2: don't really they don't really use in TV and film anymore, 277 00:15:42,960 --> 00:15:46,480 Speaker 2: which is Ben Affleck's talking about his sad child and 278 00:15:46,520 --> 00:15:49,880 Speaker 2: goes and my dad walked out on our family Christmas morning, 279 00:15:50,160 --> 00:15:52,720 Speaker 2: and I just like set me in a time machine. 280 00:15:52,720 --> 00:15:54,200 Speaker 1: I'm like, what happened to that? 281 00:15:54,200 --> 00:15:57,640 Speaker 2: That used to be so standard in like fucked up backstories, 282 00:15:57,680 --> 00:16:00,640 Speaker 2: Like I remember it was Thanksgiving, my dad went out 283 00:16:00,680 --> 00:16:03,680 Speaker 2: for turkey or cranberry sauce and never came back. Like 284 00:16:03,720 --> 00:16:08,600 Speaker 2: that whole thing of just fully phantom ghosting. Now there 285 00:16:08,600 --> 00:16:10,760 Speaker 2: are people now. I think most men just do it 286 00:16:10,880 --> 00:16:14,760 Speaker 2: very gradually. By gradually emotionally detaching from their families in 287 00:16:14,760 --> 00:16:18,320 Speaker 2: a way that they're physically there but maybe emotionally gone. 288 00:16:18,760 --> 00:16:21,920 Speaker 2: But this I've just like laughed so hard thinking about, 289 00:16:21,960 --> 00:16:26,120 Speaker 2: like that was so normal like whatever that Like I 290 00:16:26,120 --> 00:16:28,360 Speaker 2: don't know, like the few times that came out as 291 00:16:28,360 --> 00:16:30,120 Speaker 2: like a trope in a film, it just sort of 292 00:16:30,160 --> 00:16:33,080 Speaker 2: became this way to always be like, yeah, dad went 293 00:16:33,080 --> 00:16:36,440 Speaker 2: out for cigarettes. Like that whole thing. We've we've we've 294 00:16:36,480 --> 00:16:38,200 Speaker 2: moved on, we've evolved past that. 295 00:16:39,640 --> 00:16:43,720 Speaker 1: Christmas or Thanksgiving is definitely them getting out there like 296 00:16:43,840 --> 00:16:47,240 Speaker 1: inner dramatic queen, like why why do it on such 297 00:16:47,280 --> 00:16:54,920 Speaker 1: and such a such an really make a point out 298 00:16:54,920 --> 00:16:56,160 Speaker 1: of here? Fuck you? 299 00:16:56,320 --> 00:16:58,920 Speaker 2: Then I should maybe they could have done it last 300 00:16:58,960 --> 00:17:01,400 Speaker 2: night or I don't know at the moment I realized 301 00:17:01,440 --> 00:17:05,200 Speaker 2: I could have, you know, spoken and my partner, But yeah, 302 00:17:05,240 --> 00:17:07,719 Speaker 2: I just love the we don't walk out on our 303 00:17:07,760 --> 00:17:11,240 Speaker 2: families on Christmas anymore, I know, speak for yourself. 304 00:17:11,280 --> 00:17:19,080 Speaker 1: But the the Gremlins, uh story where her dad leaves 305 00:17:19,520 --> 00:17:23,480 Speaker 1: because he like she thinks he's left the family and 306 00:17:23,520 --> 00:17:26,080 Speaker 1: then they start smelling something coming out of the chimney 307 00:17:26,840 --> 00:17:31,840 Speaker 1: that is up like permanently in my brain. 308 00:17:33,040 --> 00:17:35,280 Speaker 2: Yeah, Oh that that scar had healed for me, but 309 00:17:35,359 --> 00:17:36,159 Speaker 2: you reopened it. 310 00:17:36,840 --> 00:17:42,080 Speaker 1: That's what I'm here for. Also, the the other two, 311 00:17:42,359 --> 00:17:44,520 Speaker 1: the way their dad died. Oh wait, how did their 312 00:17:44,560 --> 00:17:48,520 Speaker 1: dad die? Another two got drunk on the roof during 313 00:17:48,600 --> 00:17:51,960 Speaker 1: Christmas and like it froze to death. 314 00:17:52,000 --> 00:17:56,439 Speaker 2: I think, mister yeah, rough rough one. 315 00:17:55,720 --> 00:17:59,960 Speaker 1: Yeah all right, my overrated like kind of the blood 316 00:18:00,160 --> 00:18:06,080 Speaker 1: lists begrudging treatment of progressive ideas in mainstream culture. I was, 317 00:18:06,160 --> 00:18:10,800 Speaker 1: I was watching this NFL game and uh there was Lions, 318 00:18:10,880 --> 00:18:14,240 Speaker 1: bills all that. Josh Allen, Man, what you see from 319 00:18:14,280 --> 00:18:18,120 Speaker 1: a different planet. This guy's incredible. What happened was that? 320 00:18:18,320 --> 00:18:18,600 Speaker 1: Is that? 321 00:18:18,800 --> 00:18:20,919 Speaker 2: Is that the game where the guy fucking fumbled the 322 00:18:20,920 --> 00:18:23,000 Speaker 2: ball at the goal line? Again, I just saw a 323 00:18:23,000 --> 00:18:25,880 Speaker 2: clip of another Like, I don't know how NFL players 324 00:18:25,960 --> 00:18:28,280 Speaker 2: keep dropping the ball before it breaks the plane for 325 00:18:28,320 --> 00:18:28,960 Speaker 2: a touchdown. 326 00:18:29,240 --> 00:18:32,360 Speaker 1: Yeah, they do it, sorry, because they're it's the it's 327 00:18:32,520 --> 00:18:36,040 Speaker 1: the NFL player. It's the NFL player equivalent of a 328 00:18:36,200 --> 00:18:38,840 Speaker 1: leaving on Christmas. You know, just wait for the rest 329 00:18:38,880 --> 00:18:42,480 Speaker 1: dramatic moment. And I respect black. Yeah, I leveled the 330 00:18:42,520 --> 00:18:46,199 Speaker 1: bag on Christmas morning. But so I was watching the 331 00:18:46,240 --> 00:18:48,920 Speaker 1: game and at one point they get back from commercials, 332 00:18:49,240 --> 00:18:51,720 Speaker 1: which still the only thing my six year old wants 333 00:18:51,720 --> 00:18:56,440 Speaker 1: to watch. He comes over and watches the commercials because 334 00:18:56,720 --> 00:18:59,040 Speaker 1: and like I get it, like seeing it through his eyes. 335 00:18:59,040 --> 00:19:02,840 Speaker 1: They are like these three million dollar like short films, 336 00:19:02,840 --> 00:19:07,520 Speaker 1: like you know, no expense spared on the commercials. They're like, 337 00:19:07,800 --> 00:19:12,119 Speaker 1: you know, getting filmmakers to tell stories. They you know, 338 00:19:12,240 --> 00:19:16,680 Speaker 1: are analyzed and poured it over and. 339 00:19:16,080 --> 00:19:19,439 Speaker 2: Then a lot of instances paid, like actors are paid 340 00:19:19,520 --> 00:19:22,080 Speaker 2: better to be in a commercial than they are in 341 00:19:22,160 --> 00:19:22,760 Speaker 2: a movie. 342 00:19:22,880 --> 00:19:26,160 Speaker 1: Yeah, yes, yes, so And then we get back and 343 00:19:26,320 --> 00:19:30,680 Speaker 1: we have the announcer just like read through this copy 344 00:19:30,800 --> 00:19:34,280 Speaker 1: chunk with zero intonation. I actually, like, I was so 345 00:19:34,840 --> 00:19:38,679 Speaker 1: struck by it that I actually went back and uh 346 00:19:39,359 --> 00:19:42,760 Speaker 1: like wrote it down word for word. Okay, Yeah, he's 347 00:19:42,800 --> 00:19:45,320 Speaker 1: like talking about this wide receivers having a great game. 348 00:19:45,400 --> 00:19:47,600 Speaker 1: He was like on the Lions and now he's come 349 00:19:47,680 --> 00:19:49,639 Speaker 1: back to haunt them because they he's now on the 350 00:19:49,640 --> 00:19:51,480 Speaker 1: Bills and the Bills are kicking the shit out of 351 00:19:51,480 --> 00:19:54,359 Speaker 1: the Lions, and uh he's like, and I'm going to 352 00:19:54,400 --> 00:19:58,040 Speaker 1: tell you about it right after this. Well. The NFL 353 00:19:58,080 --> 00:20:01,760 Speaker 1: family advances social justice and as barriers to opportunity through 354 00:20:01,800 --> 00:20:07,000 Speaker 1: work in police community relations, criminal justice reform, an economic advancement. 355 00:20:07,320 --> 00:20:11,359 Speaker 1: The Inspired Change Change Maker Award recognizes community members who 356 00:20:11,440 --> 00:20:13,960 Speaker 1: work to advance social justice. To learn more about the 357 00:20:14,040 --> 00:20:17,800 Speaker 1: Change change Maker, visit and then read the URL and 358 00:20:18,560 --> 00:20:21,560 Speaker 1: back to the game, and like the energy of like 359 00:20:21,680 --> 00:20:24,000 Speaker 1: back to the game is like, oh, all right, we 360 00:20:24,080 --> 00:20:27,840 Speaker 1: got that bullshit over the fuck, you know, like just 361 00:20:27,880 --> 00:20:31,720 Speaker 1: like reading through the unpleasant side effects at the end 362 00:20:31,800 --> 00:20:35,120 Speaker 1: of the medicine commercial is like the energy that they 363 00:20:35,240 --> 00:20:38,200 Speaker 1: give to this. They don't even say the person's name, 364 00:20:38,320 --> 00:20:42,320 Speaker 1: like they they show a quick cutaway to a woman 365 00:20:42,400 --> 00:20:46,720 Speaker 1: holding an oversized like ceremonial check for ten thousand dollars 366 00:20:46,760 --> 00:20:49,400 Speaker 1: made out to like Detroit Public schools, But they don't 367 00:20:49,400 --> 00:20:54,000 Speaker 1: even like tell the story or anything. It's just fucking 368 00:20:54,160 --> 00:20:58,359 Speaker 1: boilerplate copy that they're reading to get it out of 369 00:20:58,400 --> 00:21:03,080 Speaker 1: the way. And it's just like, of course social justice 370 00:21:03,240 --> 00:21:07,720 Speaker 1: is going to like to like fucking teenagers and adolescents 371 00:21:07,760 --> 00:21:11,160 Speaker 1: and shit like that. Like they they're all like this 372 00:21:11,240 --> 00:21:14,840 Speaker 1: is actually bullshit, dude, Like they they're just forced to 373 00:21:14,920 --> 00:21:18,040 Speaker 1: read this shit because of course it's like treated by 374 00:21:18,080 --> 00:21:21,320 Speaker 1: the people who make the ship they watch as like 375 00:21:22,200 --> 00:21:25,679 Speaker 1: bad vegetables. They need to like force down our throat 376 00:21:25,920 --> 00:21:27,240 Speaker 1: before we can have fun again. 377 00:21:27,720 --> 00:21:30,959 Speaker 2: And it's like, yeah, it feels like such transparent, like 378 00:21:31,640 --> 00:21:34,359 Speaker 2: they have to generate moral cover because the NFL is 379 00:21:34,400 --> 00:21:37,359 Speaker 2: already you know, questionable league in terms of how like 380 00:21:37,640 --> 00:21:40,120 Speaker 2: players end up and it's treatment of players and all 381 00:21:40,119 --> 00:21:40,720 Speaker 2: that kind of stuff. 382 00:21:40,760 --> 00:21:41,960 Speaker 1: So they're probably like, all right. 383 00:21:42,320 --> 00:21:44,480 Speaker 2: Do the oversized check thing and we can go to 384 00:21:44,480 --> 00:21:47,399 Speaker 2: sleep one more night. Yeah, I get like they don't, 385 00:21:47,720 --> 00:21:48,720 Speaker 2: like I feel I don't. 386 00:21:48,760 --> 00:21:50,960 Speaker 1: I don't know how conscious it is or if it's 387 00:21:51,040 --> 00:21:54,600 Speaker 1: just like because it's not profitable, it just gets so 388 00:21:54,720 --> 00:21:57,000 Speaker 1: much less attention, and they're just like we have to 389 00:21:57,040 --> 00:21:57,960 Speaker 1: like fucking say this. 390 00:21:58,480 --> 00:22:02,400 Speaker 2: Yeah, in this era of such like backlash to anything 391 00:22:02,840 --> 00:22:06,760 Speaker 2: quote woke, we're surprised they're still even doing it, you know, 392 00:22:06,840 --> 00:22:09,639 Speaker 2: because it feels like so many, so many institutions and 393 00:22:09,680 --> 00:22:13,119 Speaker 2: companies have completely abandoned like any idea or any notion 394 00:22:13,240 --> 00:22:15,520 Speaker 2: that they like it was something that they should be 395 00:22:15,560 --> 00:22:18,200 Speaker 2: doing as like a major force in culture. 396 00:22:18,280 --> 00:22:21,280 Speaker 1: But yeah, well they're certainly like getting it sup less 397 00:22:21,320 --> 00:22:24,840 Speaker 1: and less energy because yeah, and it's just like this 398 00:22:24,880 --> 00:22:30,840 Speaker 1: is of course why social justice movements fizzle in America, 399 00:22:30,960 --> 00:22:33,960 Speaker 1: Like in a market driven world, like the people who 400 00:22:33,960 --> 00:22:38,760 Speaker 1: make the decision of what's profitable will just pay lip 401 00:22:38,760 --> 00:22:42,280 Speaker 1: service to it in a way that basically has unimplied 402 00:22:42,640 --> 00:22:45,600 Speaker 1: jacking off hand motion like the whole time they're doing it, 403 00:22:45,920 --> 00:22:48,960 Speaker 1: Like it's like, I feel like it's more damaging to 404 00:22:49,200 --> 00:22:54,119 Speaker 1: do what they're doing than nothing at all when you 405 00:22:54,240 --> 00:22:59,840 Speaker 1: do what you're doing. They're Yeah, it implies that it's 406 00:22:59,880 --> 00:23:03,560 Speaker 1: like a thing that they're in on which they suck. 407 00:23:03,760 --> 00:23:07,159 Speaker 1: So like everybody nobody like thinks that nobody is thinking 408 00:23:07,280 --> 00:23:12,240 Speaker 1: this is cool. Like everybody's like, uh, like they're like 409 00:23:12,320 --> 00:23:15,520 Speaker 1: trying to brainwash us because they sound like they're fucking 410 00:23:15,560 --> 00:23:19,600 Speaker 1: brainwashed as they're reading it because they're giving it absolutely nothing. 411 00:23:19,840 --> 00:23:22,919 Speaker 1: So yeah, I was. I really believed in the NFL 412 00:23:22,960 --> 00:23:26,119 Speaker 1: too well, Like I heard it on like a radio 413 00:23:26,560 --> 00:23:29,720 Speaker 1: like spot where like somebody like gave just a brief 414 00:23:29,760 --> 00:23:33,040 Speaker 1: nod to a event that had happened in black history 415 00:23:33,400 --> 00:23:38,400 Speaker 1: that day, but like just such a cursory like mention 416 00:23:38,800 --> 00:23:42,080 Speaker 1: moving on, And I'm just like noticing it everywhere that 417 00:23:42,280 --> 00:23:44,359 Speaker 1: they feel like they have to do it, but they're 418 00:23:44,359 --> 00:23:47,199 Speaker 1: doing it like begrudgingly, and so the whole thing just 419 00:23:47,400 --> 00:23:52,480 Speaker 1: feels like, Yeah, I just can see the adolescent from 420 00:23:52,720 --> 00:23:56,080 Speaker 1: boy mind being like this is actually not cool, Like 421 00:23:56,119 --> 00:23:58,800 Speaker 1: they're just trying to fucking trick me. Man. 422 00:23:58,880 --> 00:24:01,240 Speaker 2: Yeah, it sounds like the community d service project for 423 00:24:01,320 --> 00:24:04,520 Speaker 2: like a teenager who has caught graffitiing like racist stuff 424 00:24:04,520 --> 00:24:05,080 Speaker 2: on a wall. 425 00:24:05,880 --> 00:24:07,280 Speaker 1: Yeah, it's like and now you got to read this. 426 00:24:07,359 --> 00:24:11,640 Speaker 1: It's got their energy. Yeah, it's like, fucking. 427 00:24:11,440 --> 00:24:14,680 Speaker 2: Dare I have to because I'm fucking up right. 428 00:24:15,119 --> 00:24:17,960 Speaker 1: Yeah, all right, let's uh, let's take a quick break 429 00:24:18,119 --> 00:24:20,919 Speaker 1: and we'll get into some of the news. These fucking 430 00:24:21,080 --> 00:24:24,760 Speaker 1: drones won't leave me alone. Man, We'll be right back. 431 00:24:34,720 --> 00:24:39,359 Speaker 1: And we're back. We're back, And actually I do wanna Brian, 432 00:24:39,400 --> 00:24:41,760 Speaker 1: do you have your mic on? Yeah, I'm here, all right, 433 00:24:41,800 --> 00:24:43,760 Speaker 1: So I just want, like, I don't I don't need 434 00:24:43,800 --> 00:24:46,720 Speaker 1: you to weigh in any specific moment, but I am 435 00:24:46,760 --> 00:24:49,800 Speaker 1: just curious to hear your thoughts on this because I 436 00:24:49,840 --> 00:24:53,000 Speaker 1: am hearing from a lot of people, like I gave 437 00:24:53,080 --> 00:24:57,879 Speaker 1: my take on this last week, that there are a 438 00:24:57,920 --> 00:25:01,960 Speaker 1: ton of drones out there now. Brian the editor is 439 00:25:02,040 --> 00:25:04,800 Speaker 1: the proud owner of a drone. You know, I talked 440 00:25:04,800 --> 00:25:11,760 Speaker 1: about seeing this like drone display at a ski resort 441 00:25:11,960 --> 00:25:17,280 Speaker 1: that was like mind boggling and but also like it did, 442 00:25:19,840 --> 00:25:21,920 Speaker 1: but they were like doing like they it like turned 443 00:25:21,960 --> 00:25:24,600 Speaker 1: into a jag in at one part, like they do 444 00:25:24,720 --> 00:25:27,000 Speaker 1: that a lot in China. They have like huge ones, 445 00:25:27,359 --> 00:25:29,760 Speaker 1: but like this was not like this was Big Bear, 446 00:25:29,920 --> 00:25:33,440 Speaker 1: which is like, you know, just a you know, very 447 00:25:33,520 --> 00:25:37,480 Speaker 1: normal like ski area. They're not. It's not like a 448 00:25:37,600 --> 00:25:41,520 Speaker 1: high tech like energy at all, but like they were 449 00:25:41,560 --> 00:25:44,400 Speaker 1: able to like program this kind of impressive show. Yeah, 450 00:25:44,440 --> 00:25:46,840 Speaker 1: I've seen like really impressive like drone stuff, and so 451 00:25:46,920 --> 00:25:49,040 Speaker 1: I'm just trying to like get my head around what 452 00:25:49,119 --> 00:25:53,680 Speaker 1: are people seeing that is so much more impressive. They're like, well, 453 00:25:53,680 --> 00:25:56,560 Speaker 1: it couldn't be like what you know, people, because there's 454 00:25:56,560 --> 00:26:00,160 Speaker 1: so many of them. It's like I've seen like fife 455 00:26:00,359 --> 00:26:03,920 Speaker 1: drones like operating together as one like that. I feel 456 00:26:03,920 --> 00:26:08,720 Speaker 1: like if somebody put that array above New Jersey right now, 457 00:26:08,920 --> 00:26:12,679 Speaker 1: everybody would fucking lose their minds, like because you know, 458 00:26:12,920 --> 00:26:17,280 Speaker 1: like it's I don't quite understand how this has like 459 00:26:17,840 --> 00:26:20,320 Speaker 1: it's only growing, and I don't know if it's just 460 00:26:21,400 --> 00:26:24,480 Speaker 1: if I'm missing something or if the country just like 461 00:26:24,920 --> 00:26:30,719 Speaker 1: badly needs something to like have a little hysteria about 462 00:26:30,840 --> 00:26:35,200 Speaker 1: that is that allows them to be like distracted from reality. Well, 463 00:26:35,320 --> 00:26:37,840 Speaker 1: there is something special about drones. 464 00:26:38,000 --> 00:26:42,199 Speaker 3: Drones are in my experience, there's certain types of people 465 00:26:42,359 --> 00:26:47,280 Speaker 3: who are just triggered by the sight of a drone 466 00:26:48,080 --> 00:26:53,040 Speaker 3: and they immediately get upset, Like, yeah, I remember, what's 467 00:26:53,080 --> 00:26:54,560 Speaker 3: that neighborhood app kill it? 468 00:26:54,960 --> 00:26:57,399 Speaker 1: What's that app for? Like neighborhoods where you can like, 469 00:26:58,000 --> 00:26:59,439 Speaker 1: you know, knock on people when. 470 00:26:59,320 --> 00:27:02,520 Speaker 2: Stuff citizen next door next door? 471 00:27:02,680 --> 00:27:05,760 Speaker 3: So I remember arguing with someone on next door who 472 00:27:05,840 --> 00:27:09,359 Speaker 3: is convinced that a drone was spying on her in 473 00:27:09,480 --> 00:27:13,439 Speaker 3: her house. Yeah, and I had to carefully explain to 474 00:27:13,480 --> 00:27:17,679 Speaker 3: her how cameras work and how that's there's that's not 475 00:27:17,720 --> 00:27:18,680 Speaker 3: a thing. 476 00:27:18,359 --> 00:27:21,359 Speaker 1: Right through my roof like that, Like, she said that, 477 00:27:21,520 --> 00:27:22,159 Speaker 1: like there. 478 00:27:22,040 --> 00:27:25,080 Speaker 3: Was a drone spying on her kids in her backyard, 479 00:27:25,119 --> 00:27:25,600 Speaker 3: and I'm like. 480 00:27:25,600 --> 00:27:28,520 Speaker 1: I'm pretty sure, I'm pretty sure no one cares about 481 00:27:28,520 --> 00:27:30,000 Speaker 1: your dumb kids in your backyard. 482 00:27:30,560 --> 00:27:32,520 Speaker 3: I mean, but yeah, it's just like something about a 483 00:27:32,600 --> 00:27:36,679 Speaker 3: drone that upsets certain types of people when they see it, 484 00:27:37,960 --> 00:27:39,239 Speaker 3: And I don't know what that is. 485 00:27:39,760 --> 00:27:44,639 Speaker 1: Yeah, Okay, so people don't like seeing drones. They're suddenly 486 00:27:44,680 --> 00:27:48,919 Speaker 1: seeing a lot more of them that this has continued 487 00:27:48,960 --> 00:27:52,920 Speaker 1: to grow over the weekend. Marjorie Taylor Green has continued 488 00:27:52,960 --> 00:27:55,880 Speaker 1: to make public statements claiming that the government is in 489 00:27:55,920 --> 00:27:59,400 Speaker 1: control of the drones. Donald Trump suggested that the government 490 00:27:59,440 --> 00:28:02,280 Speaker 1: needs to it that they're behind the drones or shoot 491 00:28:02,320 --> 00:28:05,480 Speaker 1: them down. I just love the energy of this guy 492 00:28:05,480 --> 00:28:08,960 Speaker 1: who's about to be the president, being like the government 493 00:28:08,960 --> 00:28:10,000 Speaker 1: controls the drones. 494 00:28:10,440 --> 00:28:12,879 Speaker 3: I haven't been following this story. Well, what kind of 495 00:28:12,960 --> 00:28:16,080 Speaker 3: drones are people seeing? Are they seeing like predator drones? 496 00:28:16,119 --> 00:28:17,520 Speaker 3: Are they seeing the kind you get it? 497 00:28:17,600 --> 00:28:21,440 Speaker 1: They're saying that they're seeing drones that are as big 498 00:28:21,480 --> 00:28:23,920 Speaker 1: as an suv flying through the air. 499 00:28:24,280 --> 00:28:26,480 Speaker 2: Brian, so that who's on Reddit as much as you are. 500 00:28:26,480 --> 00:28:28,560 Speaker 2: I'm surprised you haven't seen all this drone ship because 501 00:28:28,560 --> 00:28:30,000 Speaker 2: it don't follow American news. 502 00:28:30,880 --> 00:28:32,239 Speaker 1: No, but it's in like it's on. 503 00:28:32,600 --> 00:28:35,119 Speaker 2: I've seen it in so many subreddits right now people 504 00:28:35,160 --> 00:28:35,639 Speaker 2: post him. 505 00:28:35,840 --> 00:28:38,880 Speaker 3: Also, I'm also weaning myself off of Reddit. Good for 506 00:28:38,920 --> 00:28:45,640 Speaker 3: your congratulations because it's mostly boxed. So after he leaves 507 00:28:45,680 --> 00:28:48,200 Speaker 3: this episode, Miles, we'll have a discussion of why it 508 00:28:48,240 --> 00:28:49,880 Speaker 3: seems like Brian thinks he's better than us. 509 00:28:50,240 --> 00:28:51,920 Speaker 2: I feel like I don't know, man, I just know 510 00:28:51,960 --> 00:28:53,240 Speaker 2: Brian has always been against me. 511 00:28:58,440 --> 00:29:02,560 Speaker 1: The just maybe the out he's weeding himself. 512 00:29:02,600 --> 00:29:05,760 Speaker 2: But it's like so many videos of like just like 513 00:29:05,800 --> 00:29:09,440 Speaker 2: sometimes it has like the like green and red lights 514 00:29:09,480 --> 00:29:10,920 Speaker 2: that I feel like, don't A lot of. 515 00:29:10,920 --> 00:29:13,000 Speaker 1: Drones have these lights on them. 516 00:29:14,080 --> 00:29:17,840 Speaker 3: Drone just for for the pilot, so that you know 517 00:29:18,240 --> 00:29:21,040 Speaker 3: which orientation your drone is in. So usually I think 518 00:29:21,080 --> 00:29:23,960 Speaker 3: the I think the red lights on the left, I 519 00:29:24,000 --> 00:29:27,120 Speaker 3: can't remember, but it's just so you know which way 520 00:29:27,160 --> 00:29:29,120 Speaker 3: your drone is pointing when you're flying it. 521 00:29:29,280 --> 00:29:32,800 Speaker 1: Sure, Yeah, their SUV size, that sounds like some government shit. 522 00:29:33,040 --> 00:29:34,800 Speaker 1: I'm like, I don't even know what that is. But 523 00:29:34,960 --> 00:29:37,680 Speaker 1: like how good are people at judging the size of 524 00:29:37,720 --> 00:29:39,480 Speaker 1: a drone? That's the other thing. 525 00:29:39,520 --> 00:29:41,680 Speaker 3: It's like it's really hard to like, if you've ever 526 00:29:41,720 --> 00:29:43,600 Speaker 3: seen you know, you guys live in LA you've seen 527 00:29:43,640 --> 00:29:47,160 Speaker 3: helicopters strafing your house, I'm sure it's hard to tell 528 00:29:47,360 --> 00:29:51,200 Speaker 3: how many hundred feet they are in the air, supposed 529 00:29:51,240 --> 00:29:55,200 Speaker 3: to be about four hundred, but you can swear sometimes this. 530 00:29:55,120 --> 00:29:58,520 Speaker 1: Is my argument. Yeah, the like you think they're either 531 00:29:58,640 --> 00:30:01,760 Speaker 1: closer further away, you think they're a different size than 532 00:30:01,800 --> 00:30:03,800 Speaker 1: they are. Yeah, if you don't know what it is 533 00:30:03,840 --> 00:30:06,320 Speaker 1: you're looking at. It's really hard to tell. Yeah. 534 00:30:06,400 --> 00:30:09,680 Speaker 2: I think there's three potential things happening. One, it's just 535 00:30:09,760 --> 00:30:13,520 Speaker 2: fucking drones. People are tripping and it's now causing other 536 00:30:13,560 --> 00:30:16,760 Speaker 2: people to fly their drones to sort of cut like 537 00:30:17,000 --> 00:30:19,440 Speaker 2: cash in on like the sort of excitement around seeing 538 00:30:19,440 --> 00:30:23,680 Speaker 2: this shit in the sky. Two there it's aliens and 539 00:30:23,720 --> 00:30:24,720 Speaker 2: they're not telling us. 540 00:30:25,200 --> 00:30:26,040 Speaker 1: Yeah. 541 00:30:26,600 --> 00:30:29,880 Speaker 2: Or three this is an op so people stop talking 542 00:30:29,920 --> 00:30:31,120 Speaker 2: about Luigi Mangoni. 543 00:30:31,440 --> 00:30:34,320 Speaker 1: Interesting. Yeah, yeah, I mean and look at us. We've 544 00:30:34,320 --> 00:30:38,640 Speaker 1: opened our Monday Morning Trends episodes for the past two 545 00:30:38,680 --> 00:30:43,640 Speaker 1: weeks talking about. 546 00:30:41,920 --> 00:30:45,120 Speaker 2: Look at this Google search curve right here. The drones 547 00:30:45,320 --> 00:30:50,600 Speaker 2: are blue, Luigi Mangoni's red. Yeah, it shot up. December 548 00:30:50,680 --> 00:30:51,880 Speaker 2: tenth is the same. 549 00:30:51,960 --> 00:30:52,480 Speaker 1: It's weird. 550 00:30:53,240 --> 00:30:56,440 Speaker 2: The December tenth there was a simultaneous huge drop off 551 00:30:56,480 --> 00:30:59,840 Speaker 2: in interest, maybe because he was caught, and then that's 552 00:30:59,880 --> 00:31:02,400 Speaker 2: like began like a very sort of sharp. 553 00:31:02,280 --> 00:31:05,000 Speaker 1: Rise in drone searches. So I don't wait, I'm just 554 00:31:05,160 --> 00:31:07,880 Speaker 1: for Luigi MANGIONI searches before he was caught. 555 00:31:08,120 --> 00:31:10,040 Speaker 2: No, no, no, I think on the day like like 556 00:31:10,080 --> 00:31:12,200 Speaker 2: when the name came out, like when the name came 557 00:31:12,240 --> 00:31:15,000 Speaker 2: out again, this is. But what I do see is 558 00:31:15,040 --> 00:31:17,360 Speaker 2: like I think there's so much talk of the drones 559 00:31:17,400 --> 00:31:19,600 Speaker 2: too that I don't know. I'm this is me with 560 00:31:19,720 --> 00:31:22,000 Speaker 2: my tinfoil gum wrapperd. 561 00:31:21,520 --> 00:31:25,960 Speaker 1: People just like don't want to think about the incoming administration, 562 00:31:26,520 --> 00:31:30,120 Speaker 1: like so they're looking for a big story to like 563 00:31:30,160 --> 00:31:33,479 Speaker 1: distract themselves with. But I also, yeah, I don't know. 564 00:31:33,760 --> 00:31:36,280 Speaker 1: Like one of the big videos that ABC News came 565 00:31:36,320 --> 00:31:40,280 Speaker 1: through and was like ABC News camera crew investigate the 566 00:31:40,360 --> 00:31:44,520 Speaker 1: drone uap UFO phenomenon. We have no idea what it is, 567 00:31:44,520 --> 00:31:48,280 Speaker 1: and they're showing this like like I don't know. It 568 00:31:48,320 --> 00:31:51,800 Speaker 1: looks like a crystal in the sky, kind of kind 569 00:31:51,800 --> 00:31:56,840 Speaker 1: of dope looking, and basically everyone who looked at it 570 00:31:56,920 --> 00:32:01,000 Speaker 1: and has some manner of expertise is like that that's Venus. 571 00:32:01,400 --> 00:32:05,960 Speaker 1: That's the planet that is a you see, not the Razor. 572 00:32:06,200 --> 00:32:08,400 Speaker 1: I know that was my first thought too, But yeah, 573 00:32:08,440 --> 00:32:12,880 Speaker 1: there's a apparently the Razor is named after a planet. Okay, 574 00:32:13,320 --> 00:32:17,440 Speaker 1: I'll buy that, And that's Earth's biggest brightest planet, uh 575 00:32:17,560 --> 00:32:20,920 Speaker 1: currently you Like, I feel like it's the first thing 576 00:32:20,960 --> 00:32:24,120 Speaker 1: you see at night once once the sun starts to 577 00:32:24,160 --> 00:32:24,640 Speaker 1: go down. 578 00:32:24,760 --> 00:32:27,760 Speaker 2: Like, well, this is the thing if it's a regular drone, 579 00:32:27,840 --> 00:32:30,600 Speaker 2: Like there's a story about how like an air force 580 00:32:30,720 --> 00:32:34,240 Speaker 2: base would like shut down for a second to like 581 00:32:34,320 --> 00:32:38,560 Speaker 2: monitor the airspace, not like how do you I'd imagine 582 00:32:38,560 --> 00:32:40,800 Speaker 2: if you were fucking around with a commercial drone, like 583 00:32:40,960 --> 00:32:43,800 Speaker 2: they'd probably like there's probably a way to hold that 584 00:32:44,000 --> 00:32:46,640 Speaker 2: person into account. But if it isn't, does that indicate 585 00:32:46,720 --> 00:32:49,520 Speaker 2: that even the air force is like what the fuck 586 00:32:49,680 --> 00:32:49,920 Speaker 2: is this? 587 00:32:50,000 --> 00:32:52,560 Speaker 3: Well, here's the confusing thing to me about this is 588 00:32:52,600 --> 00:32:59,480 Speaker 3: that commercial drones have to be registered, like information just 589 00:32:59,520 --> 00:33:03,160 Speaker 3: spitting out of them constantly, and you can find out 590 00:33:03,480 --> 00:33:06,680 Speaker 3: what the drone is, especially if you're like a military base, 591 00:33:06,680 --> 00:33:08,440 Speaker 3: you can find out what it. 592 00:33:08,440 --> 00:33:11,239 Speaker 1: Is and possibly who it belongs to. 593 00:33:11,800 --> 00:33:16,880 Speaker 3: So it's like, I don't understand the confusion. Like if 594 00:33:16,920 --> 00:33:20,400 Speaker 3: the government wants to know what's flying around in its airspace, 595 00:33:20,640 --> 00:33:21,600 Speaker 3: they can find out. 596 00:33:22,040 --> 00:33:23,320 Speaker 1: There shouldn't be any mystery. 597 00:33:23,600 --> 00:33:26,720 Speaker 2: Yeah, so what's that's I think that's the weird part. 598 00:33:26,920 --> 00:33:30,200 Speaker 1: That's like attending like they don't know, yeah, or they're 599 00:33:30,240 --> 00:33:32,880 Speaker 1: just doing the government thing of like we don't care 600 00:33:32,920 --> 00:33:37,320 Speaker 1: to disclose that information at this time, and then you know, 601 00:33:37,520 --> 00:33:39,040 Speaker 1: letting a mass hysteria. 602 00:33:38,880 --> 00:33:40,840 Speaker 3: And like all the pictures I can find are either 603 00:33:41,000 --> 00:33:45,080 Speaker 3: lights in the sky or they are clearly you know, 604 00:33:45,840 --> 00:33:49,320 Speaker 3: like a Dji matrise or something like that, just like 605 00:33:49,360 --> 00:33:51,240 Speaker 3: a big fucking commercial drone. 606 00:33:51,680 --> 00:33:55,080 Speaker 1: Okay, and I know what a dji matrisas, but I'm 607 00:33:55,080 --> 00:33:57,200 Speaker 1: glad you clarified that. For it's like what they move 608 00:33:57,400 --> 00:33:58,560 Speaker 1: use on Like movies. 609 00:33:58,760 --> 00:34:01,880 Speaker 3: If you've ever seen like an Netflix documentary, the opening 610 00:34:01,880 --> 00:34:03,360 Speaker 3: shot is always a drone shot. 611 00:34:03,480 --> 00:34:08,680 Speaker 1: Yeah, it's one of those swoops out. Yeah, yeah, yeah. 612 00:34:08,280 --> 00:34:12,640 Speaker 1: I don't know, Like I I feel like the people 613 00:34:12,719 --> 00:34:17,880 Speaker 1: being like they're just seeing radio towers and the planet 614 00:34:18,000 --> 00:34:24,759 Speaker 1: Venus is like that going on, Yeah exactly that that 615 00:34:24,920 --> 00:34:29,200 Speaker 1: feels like it's just a weather balloon type excuses, Like 616 00:34:29,239 --> 00:34:36,160 Speaker 1: we can't copletally dismissive the drone hobbyist suddenly catching drone 617 00:34:36,160 --> 00:34:41,600 Speaker 1: fever because like the like national and international news is 618 00:34:41,600 --> 00:34:44,520 Speaker 1: suddenly all about drones and like they get to be 619 00:34:44,560 --> 00:34:48,720 Speaker 1: a part of like this massive freak out like feels 620 00:34:49,080 --> 00:34:53,040 Speaker 1: more logical to me, But I don't know, people. I 621 00:34:53,160 --> 00:34:55,040 Speaker 1: just think people really want to believe right now. 622 00:34:55,280 --> 00:35:00,799 Speaker 3: Also, like law enforcement has been using drones for uh, 623 00:35:01,200 --> 00:35:04,239 Speaker 3: you know, surveillance, and you know kind of like what 624 00:35:04,680 --> 00:35:06,799 Speaker 3: helicopters used to do. I don't know what they're doing 625 00:35:06,840 --> 00:35:09,600 Speaker 3: in New Jersey, but I know that, you know, police 626 00:35:09,600 --> 00:35:11,759 Speaker 3: departments have a ship ton of money that we give 627 00:35:11,800 --> 00:35:15,799 Speaker 3: them and they spend it on goofy ass toys. So 628 00:35:16,480 --> 00:35:19,680 Speaker 3: if anyone were to have a fleet of large drones, 629 00:35:19,719 --> 00:35:23,320 Speaker 3: I would say it's the police or like firefighters or something. 630 00:35:23,960 --> 00:35:26,800 Speaker 1: Yeah, that makes that also makes more sense. 631 00:35:26,920 --> 00:35:29,400 Speaker 2: I just like the like last week, we're like, that's 632 00:35:29,600 --> 00:35:33,000 Speaker 2: radio towers, and now it's just you know what something's up? 633 00:35:34,320 --> 00:35:39,120 Speaker 3: Yeah, radio tower is flying around like it that doesn't 634 00:35:39,120 --> 00:35:39,800 Speaker 3: make any sense. 635 00:35:39,920 --> 00:35:40,880 Speaker 1: Yeah, No, it's definitely. 636 00:35:40,880 --> 00:35:44,320 Speaker 2: It's it's it's taking up a lot of energy and attention. 637 00:35:44,520 --> 00:35:45,200 Speaker 1: And now, like I. 638 00:35:45,520 --> 00:35:47,680 Speaker 2: Feel it wasn't I think Larry Hogan or one of 639 00:35:47,719 --> 00:35:49,680 Speaker 2: the main governors of a state, like I. 640 00:35:49,640 --> 00:35:55,680 Speaker 1: Saw him too. I've seen it. Yeah, all right, Larry Hogan. 641 00:35:56,280 --> 00:35:58,319 Speaker 1: So I don't know. We'll we'll keep an eye on it, 642 00:35:59,320 --> 00:36:04,400 Speaker 1: keep it. It seems like everybody will it. I am curious. 643 00:36:04,400 --> 00:36:06,000 Speaker 1: This makes me want to go back and look at 644 00:36:06,040 --> 00:36:10,040 Speaker 1: the Chinese weather balloon story because that was like everyone 645 00:36:10,080 --> 00:36:12,160 Speaker 1: was like, oh shit, what's happening? And then I feel 646 00:36:12,200 --> 00:36:14,719 Speaker 1: like we never really got closure on that. There's probably 647 00:36:15,040 --> 00:36:17,960 Speaker 1: like a bunch of details on that that people just 648 00:36:18,160 --> 00:36:22,240 Speaker 1: stopped paying attention to once no longer served them. Also, 649 00:36:22,400 --> 00:36:25,799 Speaker 1: there's like six military bases in New Jersey, which is 650 00:36:25,800 --> 00:36:29,440 Speaker 1: not a very big state, and I just really should 651 00:36:29,560 --> 00:36:33,279 Speaker 1: know what this is. Maybe it's some sort of. 652 00:36:34,800 --> 00:36:40,160 Speaker 3: Interagency miscommunication where one is doing a bunch of testing 653 00:36:40,239 --> 00:36:41,879 Speaker 3: and the other ones don't know about it. 654 00:36:42,160 --> 00:36:44,840 Speaker 1: Right, entirely possible. I mean that might be like a 655 00:36:44,880 --> 00:36:49,879 Speaker 1: low That is one of the more popular skeptic explanations 656 00:36:49,920 --> 00:36:52,239 Speaker 1: for what's going on with UAPs. Right, It's just like 657 00:36:52,440 --> 00:36:52,719 Speaker 1: it's just. 658 00:36:52,760 --> 00:36:55,680 Speaker 3: Drunes aren't rare. They're like you can get them at 659 00:36:55,680 --> 00:37:00,479 Speaker 3: best Buy. Like, this isn't why people are any one can. 660 00:37:00,400 --> 00:37:03,200 Speaker 1: Get one, This is this is my point, Brian, And 661 00:37:03,480 --> 00:37:07,440 Speaker 1: you can, and somebody with a reasonable with a fireworks 662 00:37:07,520 --> 00:37:12,120 Speaker 1: display budget can do wild shit like light up the 663 00:37:12,160 --> 00:37:16,439 Speaker 1: sky and like, yeah, it's your brain if you if 664 00:37:16,440 --> 00:37:20,440 Speaker 1: you aren't familiar with how drones can be like programmed 665 00:37:21,000 --> 00:37:27,320 Speaker 1: with like to dance together. So yeah, I'm still highly 666 00:37:27,320 --> 00:37:28,000 Speaker 1: skeptical of this. 667 00:37:28,920 --> 00:37:31,960 Speaker 2: Yeah, I mean I'm more skeptical skeptical because I want 668 00:37:31,960 --> 00:37:34,640 Speaker 2: the aliens to do cooler shit than this, like if 669 00:37:35,280 --> 00:37:37,520 Speaker 2: they're like, come on, bro, you got red and green lights? 670 00:37:37,600 --> 00:37:38,360 Speaker 1: What the fuck is this? 671 00:37:38,600 --> 00:37:41,360 Speaker 3: Yeah, it's like the people are so unimaginative when it 672 00:37:41,400 --> 00:37:44,319 Speaker 3: comes to alien shit. It's like, Oh, they're gonna be 673 00:37:44,520 --> 00:37:47,880 Speaker 3: humanoid shaped and they're gonna fly. 674 00:37:47,880 --> 00:37:49,040 Speaker 1: Drums around it. 675 00:37:49,120 --> 00:37:52,440 Speaker 3: It's just it's so stupid, Like have some imagination, everybody. 676 00:37:52,640 --> 00:37:55,160 Speaker 3: Aliens can be a lot cooler than than what you 677 00:37:55,320 --> 00:37:56,560 Speaker 3: could think of than us. 678 00:37:56,840 --> 00:37:59,240 Speaker 2: They could be this podcast right now. 679 00:38:01,640 --> 00:38:04,799 Speaker 1: Whoa, you didn't just do that drop, dude? That was 680 00:38:04,880 --> 00:38:08,880 Speaker 1: like that just yawned. I just yawned. That's how you're yawns. 681 00:38:10,640 --> 00:38:13,840 Speaker 1: There's also like I feel like the media is buying 682 00:38:13,880 --> 00:38:17,759 Speaker 1: into it and like trying to select the information that 683 00:38:17,880 --> 00:38:20,680 Speaker 1: is going to make this the most like intriguing like 684 00:38:20,840 --> 00:38:24,239 Speaker 1: viral story. Like there's a newsweek article that is being 685 00:38:24,320 --> 00:38:27,080 Speaker 1: linked as like one of the top drone or top 686 00:38:27,400 --> 00:38:31,880 Speaker 1: drudge stories over the weekend, and like their primary source 687 00:38:31,960 --> 00:38:35,120 Speaker 1: is just somebody in the drone industry who's like, I 688 00:38:35,160 --> 00:38:37,160 Speaker 1: don't know what it is, but I bet it's really 689 00:38:37,200 --> 00:38:41,880 Speaker 1: important and cool. Like they like that's legit what he says, 690 00:38:42,400 --> 00:38:47,680 Speaker 1: all right, important and cool. Yeah, So I don't know 691 00:38:48,080 --> 00:38:52,000 Speaker 1: they also mentioned at the end, like and they changed 692 00:38:52,360 --> 00:38:55,880 Speaker 1: like the FAA rules so that drones could fly at 693 00:38:55,960 --> 00:38:58,440 Speaker 1: night back in September twenty twenty three. So this might 694 00:38:58,560 --> 00:39:01,600 Speaker 1: just be the result of people realizing that all at 695 00:39:01,600 --> 00:39:03,839 Speaker 1: once and flying a bunch of drunes at night. 696 00:39:04,000 --> 00:39:06,799 Speaker 3: For years, you weren't able to There were a lot 697 00:39:06,800 --> 00:39:10,480 Speaker 3: of restrictions and you need it like a license, special 698 00:39:10,520 --> 00:39:11,759 Speaker 3: license to fly at night. 699 00:39:11,840 --> 00:39:15,560 Speaker 1: But now it's just like open season. And yeah, so 700 00:39:15,640 --> 00:39:17,919 Speaker 1: that's probably what's happening, Like that. 701 00:39:18,400 --> 00:39:21,839 Speaker 3: You could you you weren't able to fly over people. Uh, 702 00:39:21,880 --> 00:39:24,359 Speaker 3: you weren't able to know you can. You weren't able 703 00:39:24,360 --> 00:39:27,399 Speaker 3: to fly over traffic, and now like. 704 00:39:27,680 --> 00:39:30,279 Speaker 1: Drones are flying over people and people are like what 705 00:39:30,320 --> 00:39:32,960 Speaker 1: the fuck. It's like, oh, they just changed a law. 706 00:39:33,200 --> 00:39:33,760 Speaker 1: In the media. 707 00:39:33,800 --> 00:39:36,080 Speaker 3: Instead, there might be a new LINU sight rule because 708 00:39:36,120 --> 00:39:38,000 Speaker 3: you used to have to have clear line of sight 709 00:39:38,080 --> 00:39:41,319 Speaker 3: to your drone. But now with all these companies trying 710 00:39:41,360 --> 00:39:43,759 Speaker 3: to do like deliveries, it could be a company too 711 00:39:44,000 --> 00:39:47,840 Speaker 3: of testing their fleet. I don't know, but like companies 712 00:39:47,840 --> 00:39:51,919 Speaker 3: have a lobby to be able to fly without being 713 00:39:51,960 --> 00:39:55,200 Speaker 3: able to see your drone physically so you can make 714 00:39:55,239 --> 00:39:56,120 Speaker 3: deliveries and stuff. 715 00:39:56,160 --> 00:39:59,040 Speaker 1: So it could be something like that too. Yeah, there's 716 00:39:59,080 --> 00:40:02,120 Speaker 1: like a Twitter thread that's going viral where a guy's like, 717 00:40:02,200 --> 00:40:04,400 Speaker 1: let me explain what this is. I've like worked in this. 718 00:40:04,600 --> 00:40:11,000 Speaker 1: It's there to measure like nuclear activity or something along 719 00:40:11,040 --> 00:40:13,480 Speaker 1: those lines radiation. 720 00:40:13,960 --> 00:40:17,960 Speaker 3: And I mean people use it in industry. They're everywhere 721 00:40:18,400 --> 00:40:20,360 Speaker 3: like that. There's no need for alarm. 722 00:40:20,640 --> 00:40:24,319 Speaker 1: But he yeah, like the thing that he's pointing, he 723 00:40:24,360 --> 00:40:27,600 Speaker 1: makes it sound somewhat nefarious, and then is also like, uh, 724 00:40:28,120 --> 00:40:30,560 Speaker 1: you know, referencing. He's like in the big thing that 725 00:40:30,640 --> 00:40:33,680 Speaker 1: you see that people keep referencing. It's like, take I 726 00:40:33,760 --> 00:40:36,440 Speaker 1: need to see a picture of like this drone that 727 00:40:36,600 --> 00:40:38,520 Speaker 1: is or like a video of this drone that is 728 00:40:38,560 --> 00:40:42,560 Speaker 1: like of a type that we've never seen before, because 729 00:40:42,600 --> 00:40:45,040 Speaker 1: otherwise it's just like I don't know, man, it sounds 730 00:40:45,040 --> 00:40:48,720 Speaker 1: like drones. Like you're looking at anything that an SUV 731 00:40:48,920 --> 00:40:53,280 Speaker 1: size drone. Yeah, all right, Well, thank you for joining 732 00:40:53,320 --> 00:40:58,120 Speaker 1: us Brian to as our resident drone expert. We're gonna 733 00:40:58,160 --> 00:40:59,879 Speaker 1: take a quick break. We'll come back, we'll talk about 734 00:40:59,880 --> 00:41:11,880 Speaker 1: some the news. We'll be right back, and we're back. 735 00:41:12,160 --> 00:41:17,719 Speaker 1: We're back, and we are in the slow creep towards 736 00:41:18,480 --> 00:41:24,040 Speaker 1: normalization and acceptance and bowing down kissing of the ring. 737 00:41:24,239 --> 00:41:27,960 Speaker 1: We were in the Kissing of the Ring segment of 738 00:41:28,360 --> 00:41:33,720 Speaker 1: the you Know Coming Trump administration. ABC News just settled 739 00:41:33,760 --> 00:41:38,800 Speaker 1: a defamation case with him for fifteen million dollars. Fifteen 740 00:41:38,880 --> 00:41:40,640 Speaker 1: million dollars. Why is that? 741 00:41:41,280 --> 00:41:46,600 Speaker 2: Because on ABC George Stephanopolis said that he was referring 742 00:41:46,680 --> 00:41:49,600 Speaker 2: to the Egen Carroll case where it said Trump was 743 00:41:49,640 --> 00:41:54,160 Speaker 2: found liable for rape, and that's like that. I remember 744 00:41:54,200 --> 00:41:55,640 Speaker 2: at the time he's like, I'm going to sue you 745 00:41:55,680 --> 00:41:57,640 Speaker 2: for saying that, blah blah blah, like you shouldn't use 746 00:41:57,680 --> 00:42:00,279 Speaker 2: that word. This like it at the time, like a 747 00:42:00,280 --> 00:42:03,319 Speaker 2: thing where people are like ABC would probably win this 748 00:42:03,560 --> 00:42:06,239 Speaker 2: case all said and done, like it. I mean, I 749 00:42:07,000 --> 00:42:10,000 Speaker 2: the you know that we obviously understand this is Trump's 750 00:42:10,040 --> 00:42:15,040 Speaker 2: like go to fucking lawsuit move all the time. But 751 00:42:15,160 --> 00:42:17,640 Speaker 2: I think more than anything, because most people are like, 752 00:42:17,680 --> 00:42:20,960 Speaker 2: well usually journalistic institutions, they stand by it and we'll 753 00:42:21,000 --> 00:42:25,040 Speaker 2: go to trial just on principle this isn't happening, and 754 00:42:25,080 --> 00:42:25,960 Speaker 2: they're like, here's. 755 00:42:25,800 --> 00:42:27,920 Speaker 1: Fifteen dollars for your future. 756 00:42:27,640 --> 00:42:30,920 Speaker 2: Libraryan museum and an I'm sorry note. 757 00:42:32,000 --> 00:42:33,120 Speaker 1: Which I mean. 758 00:42:33,120 --> 00:42:35,839 Speaker 2: This all just feels part of like what Trump has 759 00:42:35,880 --> 00:42:39,319 Speaker 2: been saying, how he's like he's taming the media. This 760 00:42:39,400 --> 00:42:42,520 Speaker 2: feels like that's what that is. It's just preemptive. 761 00:42:42,680 --> 00:42:42,919 Speaker 1: Yeah. 762 00:42:43,040 --> 00:42:44,480 Speaker 2: Yeah, they're like, we don't want to get into a 763 00:42:44,520 --> 00:42:46,719 Speaker 2: lawsuit with someone who's about to be president who could 764 00:42:46,760 --> 00:42:49,000 Speaker 2: maybe do something to us, and we're going to accept that. 765 00:42:49,000 --> 00:42:51,960 Speaker 2: That's the world we live in, so we will just capitulate. 766 00:42:52,880 --> 00:42:57,200 Speaker 2: So yeah, that's the fourth estate, man, I'll take I'll 767 00:42:57,200 --> 00:42:59,480 Speaker 2: take the I'll take fourth meal over the fourth estate. 768 00:42:59,520 --> 00:43:02,959 Speaker 1: At this point, you know, they are in competition. Yeah, 769 00:43:03,160 --> 00:43:06,160 Speaker 1: so I always live moss for me. Maybe. There's also 770 00:43:06,640 --> 00:43:09,920 Speaker 1: this article about how basically every important tech billionaire is 771 00:43:09,960 --> 00:43:14,360 Speaker 1: donating at least a million dollars to his inauguration fund, 772 00:43:14,760 --> 00:43:18,640 Speaker 1: Like Samuel Altman has, you know, donated a million dollars 773 00:43:18,680 --> 00:43:21,080 Speaker 1: and said President Trump will lead our country into the 774 00:43:21,120 --> 00:43:27,120 Speaker 1: age of AI and I'm eager to to sure America 775 00:43:27,200 --> 00:43:33,960 Speaker 1: stays ahead. Yes, exactly. But you know Mark Zuckerberg, who 776 00:43:34,440 --> 00:43:39,240 Speaker 1: used to be somebody who expressed concerns about Trump's immigration 777 00:43:39,320 --> 00:43:40,960 Speaker 1: policies during his first presidency. 778 00:43:41,280 --> 00:43:44,400 Speaker 2: Now look he's dressing like fucking Silicon Valley Jack Harlowe 779 00:43:44,400 --> 00:43:44,960 Speaker 2: and shit. 780 00:43:44,920 --> 00:43:49,640 Speaker 1: Yeah, exactly, and he met with Trump over dinner at 781 00:43:49,920 --> 00:43:53,120 Speaker 1: mar a Lago, gifted him a pair of metas ray 782 00:43:53,160 --> 00:43:56,920 Speaker 1: Band smart glasses. And then back to July, he was 783 00:43:57,000 --> 00:44:00,880 Speaker 1: already sort of yes, exactly. Back in July, he was 784 00:44:00,880 --> 00:44:04,240 Speaker 1: already starting to get on board. He said that Trump's 785 00:44:04,320 --> 00:44:07,320 Speaker 1: reaction of raising his fist in the air after the 786 00:44:07,360 --> 00:44:10,040 Speaker 1: assassination was one of the most badass things I've ever 787 00:44:10,080 --> 00:44:11,200 Speaker 1: seen in my life. 788 00:44:11,239 --> 00:44:13,680 Speaker 2: It would be the most badass thing you've ever seen 789 00:44:13,719 --> 00:44:15,120 Speaker 2: in your life, for sure. 790 00:44:15,120 --> 00:44:19,520 Speaker 1: So tight, dude. And then Jeff Bezos, you know, we 791 00:44:19,840 --> 00:44:23,840 Speaker 1: saw what he did with the endorsement of the Washington Post. 792 00:44:24,160 --> 00:44:27,640 Speaker 1: He's playing to meet with Trump at mar Lago next 793 00:44:27,680 --> 00:44:30,839 Speaker 1: week or I think maybe this week. And at the 794 00:44:30,880 --> 00:44:33,560 Speaker 1: New York Times deal book Summit. God, how did I 795 00:44:33,600 --> 00:44:36,880 Speaker 1: miss that? Once again? Not invited were a deal book summit. 796 00:44:36,960 --> 00:44:40,959 Speaker 1: We were banned. Yeah, well that's it wasn't an official band. 797 00:44:41,000 --> 00:44:43,920 Speaker 1: It's just like they have my pictures at the entrances. 798 00:44:44,080 --> 00:44:46,440 Speaker 2: Yeah, and they said I'm banned because I kept using 799 00:44:46,440 --> 00:44:47,400 Speaker 2: the bathroom. 800 00:44:46,960 --> 00:44:50,560 Speaker 1: Too much, freaking everybody out. Yeah, well I had to 801 00:44:50,600 --> 00:44:54,240 Speaker 1: pee a lot of coffee. But they said he appeared 802 00:44:54,320 --> 00:44:57,560 Speaker 1: optimistic about the new administration and noted that Trump seems 803 00:44:57,560 --> 00:45:00,160 Speaker 1: to have a lot of energy around reducing regulation and 804 00:45:00,520 --> 00:45:02,560 Speaker 1: if I can help him do that, I'm going to 805 00:45:02,640 --> 00:45:05,960 Speaker 1: help him because we do have too much regulation in 806 00:45:06,000 --> 00:45:10,160 Speaker 1: this country. Oh my god, said the guy who's been 807 00:45:10,200 --> 00:45:10,840 Speaker 1: able to make. 808 00:45:10,760 --> 00:45:15,000 Speaker 2: Said Robert Baron Bezos. Okay, cool, there's one thing I 809 00:45:15,000 --> 00:45:19,320 Speaker 2: do agree with. It's the guardrails to my extraction of wealth. 810 00:45:19,560 --> 00:45:22,440 Speaker 1: Just there's too many of them. Please do away with them. 811 00:45:22,920 --> 00:45:27,200 Speaker 1: The one thing that is not a problem in the 812 00:45:27,280 --> 00:45:30,000 Speaker 1: United States, like, we gotta we gotta work on this. Guys, 813 00:45:30,400 --> 00:45:34,160 Speaker 1: they're fucking with me. They're put too many, too much 814 00:45:34,600 --> 00:45:38,360 Speaker 1: pushing back on what Amazon wants to do to our workers, 815 00:45:38,440 --> 00:45:43,920 Speaker 1: and the world can't have that. All right, Well, Miles, 816 00:45:43,960 --> 00:45:46,480 Speaker 1: I think you should go get some rest. Let's uh 817 00:45:46,640 --> 00:45:50,759 Speaker 1: I'm gonna go lay down. Go do that and uh yeah, 818 00:45:50,880 --> 00:45:53,359 Speaker 1: go lay down for a long period of time. Get 819 00:45:53,400 --> 00:45:57,160 Speaker 1: some rest. We'll uh be back tomorrow with the whole 820 00:45:57,200 --> 00:46:00,960 Speaker 1: ass episode the show. Until then, be kind to each other, 821 00:46:01,160 --> 00:46:04,839 Speaker 1: be kind to yourself, get the vaccine, get a blue shot. Yes, 822 00:46:04,960 --> 00:46:08,279 Speaker 1: don't do nothing about white supremacy, and we will talk 823 00:46:08,320 --> 00:46:09,200 Speaker 1: to your tomorrow. Fight