1 00:00:00,240 --> 00:00:03,560 Speaker 1: Hello the Internet, and welcome to this episode of The 2 00:00:03,600 --> 00:00:08,440 Speaker 1: Weekly Zeitgeist. These are some of our favorite segments from 3 00:00:08,640 --> 00:00:19,400 Speaker 1: this week, all edited together into one NonStop infotainment laugh stravaganza. Yeah, so, 4 00:00:19,880 --> 00:00:26,040 Speaker 1: without further ado, here is the Weekly Zeitgeist. Katie. It's 5 00:00:26,040 --> 00:00:28,920 Speaker 1: a full Crack reunion because we are thrilled to be 6 00:00:29,000 --> 00:00:31,760 Speaker 1: joined in our third seat by the best selling author 7 00:00:31,800 --> 00:00:34,199 Speaker 1: of books like John Dies at the end Zoe punches 8 00:00:34,240 --> 00:00:37,360 Speaker 1: the future in the dick if this book exists here 9 00:00:37,360 --> 00:00:40,479 Speaker 1: in the wrong universe and the new Zoe is too 10 00:00:40,560 --> 00:00:43,519 Speaker 1: drunk for this dystopia, which I believe you can pre 11 00:00:43,640 --> 00:00:47,200 Speaker 1: order still. Yes, he is also one of the hosts 12 00:00:47,240 --> 00:00:50,600 Speaker 1: of the podcast Big Feats, which, if I'm reading this 13 00:00:50,760 --> 00:00:56,040 Speaker 1: Paris Review article correctly, is the only Mountain Monsters podcast 14 00:00:56,240 --> 00:01:00,760 Speaker 1: officially endorsed by Big Feet. He's our former coor Cracked, 15 00:01:01,120 --> 00:01:03,680 Speaker 1: co creator of the Cracked podcast. Welcome back to the show, 16 00:01:04,040 --> 00:01:04,960 Speaker 1: Jason Pardon. 17 00:01:07,959 --> 00:01:11,160 Speaker 2: Now, is it okay for me to do my fake 18 00:01:11,360 --> 00:01:14,479 Speaker 2: Italian accent that I do? Sometimes? I don't know, I 19 00:01:14,600 --> 00:01:17,759 Speaker 2: realize there are some accents that are inappropriate to keep. 20 00:01:18,040 --> 00:01:22,800 Speaker 3: I mean deeply as as a one non Italian person 21 00:01:22,920 --> 00:01:24,959 Speaker 3: living in Italy, I'd be deeply offended. 22 00:01:25,520 --> 00:01:29,240 Speaker 2: Okay, then I won't because it's one that's so much 23 00:01:29,280 --> 00:01:31,479 Speaker 2: fun that I don't know if I'm doing an actual 24 00:01:31,520 --> 00:01:34,520 Speaker 2: Italian accent or if I'm doing a Hollywood accent of 25 00:01:34,640 --> 00:01:38,160 Speaker 2: actors who themselves were in no way Italian but just 26 00:01:38,280 --> 00:01:40,280 Speaker 2: and did not have a language glos here it's like, 27 00:01:40,760 --> 00:01:42,000 Speaker 2: what are you breaking my balls? 28 00:01:43,360 --> 00:01:44,560 Speaker 1: Yes, there it is there. 29 00:01:44,560 --> 00:01:49,880 Speaker 3: It is the concept of Italian accent is immigrants from 30 00:01:50,040 --> 00:01:53,800 Speaker 3: Naples who came to the US, and that's it. 31 00:01:54,080 --> 00:01:57,800 Speaker 1: And Chris Pratt's interpretation of Mario. Those are the two 32 00:01:58,040 --> 00:02:01,760 Speaker 1: kind of key texts, the cornerstones. 33 00:02:02,040 --> 00:02:05,080 Speaker 3: He's a national icon in Italy. Actually people don't think that, 34 00:02:05,360 --> 00:02:07,840 Speaker 3: but like Chris Pratt Poplar. 35 00:02:09,680 --> 00:02:11,960 Speaker 1: All right, Jason, how are you doing? Where are you 36 00:02:11,960 --> 00:02:14,440 Speaker 1: coming to us from? Undisclosed? 37 00:02:15,639 --> 00:02:18,560 Speaker 2: Sure, I'm in the state of Tennessee. If you want 38 00:02:18,600 --> 00:02:20,320 Speaker 2: to try to find me, I'm sure. There's there's one 39 00:02:20,320 --> 00:02:23,080 Speaker 2: guy on TikTok who can locate anybody just from any 40 00:02:23,080 --> 00:02:25,320 Speaker 2: photo they take. If you want to show up at 41 00:02:25,360 --> 00:02:26,920 Speaker 2: my house, I'm sure you can do it. 42 00:02:27,000 --> 00:02:30,919 Speaker 1: But it has he do it, like even if you're inside, 43 00:02:31,000 --> 00:02:31,440 Speaker 1: he can do it. 44 00:02:31,880 --> 00:02:34,440 Speaker 2: Well, probably not but if you're standing like just in 45 00:02:34,480 --> 00:02:37,440 Speaker 2: your yard, he will take the sliver of sky behind you. 46 00:02:37,639 --> 00:02:40,880 Speaker 2: He can identify exactly down to your address, and that's 47 00:02:40,880 --> 00:02:42,320 Speaker 2: his whole his whole bit. 48 00:02:43,000 --> 00:02:47,200 Speaker 1: Yeah, that's crazy and terrifying. Katie is coming to us 49 00:02:47,200 --> 00:02:50,160 Speaker 1: from Europe, not Italy. 50 00:02:49,800 --> 00:02:52,480 Speaker 3: Though, this time from Barcelona. 51 00:02:53,240 --> 00:03:01,080 Speaker 1: Hey, well well done on the pronunciation key it's bart Yeah, 52 00:03:01,120 --> 00:03:03,080 Speaker 1: now that feels like it should be offensive. 53 00:03:03,600 --> 00:03:07,359 Speaker 3: It probably is. Yeah, Okay, you know I'm in for it. 54 00:03:10,639 --> 00:03:13,919 Speaker 1: What is something from your search history that's revealing about 55 00:03:13,960 --> 00:03:14,480 Speaker 1: who you are? 56 00:03:14,919 --> 00:03:17,200 Speaker 4: The very last search that I did just last night 57 00:03:17,840 --> 00:03:24,760 Speaker 4: was quote the Winter Palace Wikipedia, the Tsar's ancient palace. 58 00:03:25,000 --> 00:03:27,160 Speaker 4: It is the setting of a show on Hulu called 59 00:03:27,160 --> 00:03:30,280 Speaker 4: The Greats, which is why I was googling it, and 60 00:03:30,320 --> 00:03:33,960 Speaker 4: I went in a deep dive on Russian history, which 61 00:03:34,000 --> 00:03:38,000 Speaker 4: is always hilarious, just like the show. I'm amused by 62 00:03:38,160 --> 00:03:42,000 Speaker 4: the buffoonery of our friends from Russia. 63 00:03:43,840 --> 00:03:46,760 Speaker 1: I don't know the story that well, what was what 64 00:03:46,800 --> 00:03:48,200 Speaker 1: was going down in the Winter Palace? 65 00:03:48,320 --> 00:03:48,480 Speaker 5: Is that? 66 00:03:48,520 --> 00:03:48,760 Speaker 6: Where? 67 00:03:48,960 --> 00:03:52,760 Speaker 7: What wasn't going down in the Winter Palace? Jack? 68 00:03:52,840 --> 00:03:53,440 Speaker 5: Am I right? 69 00:03:53,560 --> 00:03:55,120 Speaker 7: Scott chess bump. 70 00:03:55,360 --> 00:03:57,720 Speaker 1: Oh yeah, well there is one. 71 00:03:57,880 --> 00:04:02,080 Speaker 4: There wasn't anything especially great about the Winter Palace Wikipedia article, 72 00:04:02,240 --> 00:04:05,360 Speaker 4: other than the fact that apparently two I think it 73 00:04:05,400 --> 00:04:10,040 Speaker 4: was two hundred thousand people died building. It seems like 74 00:04:10,320 --> 00:04:12,040 Speaker 4: which seems like it's like. 75 00:04:14,840 --> 00:04:16,400 Speaker 1: That seems like a whole city. 76 00:04:17,000 --> 00:04:19,479 Speaker 7: I don't know, but did you see it? Pretty fucking 77 00:04:19,560 --> 00:04:22,760 Speaker 7: worth it, you know what I'm saying. It looks pretty good. 78 00:04:23,680 --> 00:04:25,640 Speaker 4: I don't remember been now more in it, and. 79 00:04:25,600 --> 00:04:27,679 Speaker 7: They maybe could get more of those little onion domes 80 00:04:27,680 --> 00:04:28,760 Speaker 7: everyone seems to love. 81 00:04:29,240 --> 00:04:31,520 Speaker 4: Oh yeah, no, the onion domes. Those are classic. That's 82 00:04:31,560 --> 00:04:35,360 Speaker 4: classic Moscow. This is Saint Petersburg. Baby, I know I've 83 00:04:35,440 --> 00:04:38,479 Speaker 4: never been. I've never been to Russia. I studied Russian 84 00:04:38,800 --> 00:04:42,320 Speaker 4: in college and sucked at it and then stopped. 85 00:04:42,600 --> 00:04:45,400 Speaker 1: But ever still language. You study Russian language? 86 00:04:45,760 --> 00:04:49,680 Speaker 5: Yeah? 87 00:04:49,720 --> 00:04:53,240 Speaker 7: Wow, the accent on that is not great here. 88 00:04:53,320 --> 00:04:55,680 Speaker 4: I was expecting you to be like it was fantastic. 89 00:04:56,120 --> 00:04:59,440 Speaker 4: I gotta I gotta tread carefully, Sophia. Are you from Russia? 90 00:04:59,600 --> 00:05:02,640 Speaker 7: I'm from but I'm fluent in Russian. Yeah, that's my 91 00:05:02,720 --> 00:05:03,440 Speaker 7: first language. 92 00:05:03,600 --> 00:05:06,039 Speaker 4: Do you know my favorite word in Russian is no 93 00:05:06,160 --> 00:05:09,560 Speaker 4: what kaladilnik. 94 00:05:09,920 --> 00:05:13,760 Speaker 1: It means refrigerator. At least that's what I remember pretty cool. 95 00:05:15,320 --> 00:05:16,000 Speaker 1: That's a good word. 96 00:05:16,400 --> 00:05:21,120 Speaker 4: So I'm listening to an audible, a two volume biography 97 00:05:21,160 --> 00:05:26,239 Speaker 4: of Joseph Stalin ship not a very nice gentleman, Joseph Stalin. 98 00:05:26,760 --> 00:05:30,840 Speaker 7: Wait, really, you're like my fucking grandpa was like, those 99 00:05:30,880 --> 00:05:34,960 Speaker 7: are exactly the fucking things that would absorb him for hours. 100 00:05:35,240 --> 00:05:39,280 Speaker 4: Yes, it's it's it's absorbable. It's absorbed me for eighty hours. Now, 101 00:05:40,400 --> 00:05:42,600 Speaker 4: can check it out. Yeah, and there's one left left 102 00:05:42,600 --> 00:05:46,680 Speaker 4: to come. It ends on a cliffhanger. Guys, Hitler's about 103 00:05:46,680 --> 00:05:48,800 Speaker 4: to invade the Soviet Union, so I can't wait for 104 00:05:49,360 --> 00:05:50,560 Speaker 4: three it's. 105 00:05:50,360 --> 00:05:51,039 Speaker 7: Gonna work out. 106 00:05:52,360 --> 00:05:54,640 Speaker 1: Well, I think they're going to be. 107 00:05:55,640 --> 00:05:57,440 Speaker 4: I think there's gonna be a lot of unhappiness for 108 00:05:57,520 --> 00:05:59,840 Speaker 4: decades to come. But yeah, I think that that that 109 00:06:00,320 --> 00:06:02,120 Speaker 4: particular invasion things work out. 110 00:06:02,520 --> 00:06:04,560 Speaker 7: I think Hitler, that guy is just like a flash 111 00:06:04,600 --> 00:06:06,200 Speaker 7: in the pan. Like not to ruin it for you, 112 00:06:06,360 --> 00:06:07,640 Speaker 7: it's just it's not I. 113 00:06:07,640 --> 00:06:12,480 Speaker 1: Mean, it kind of was, but you have like a 114 00:06:12,520 --> 00:06:16,880 Speaker 1: brief rise. By the way, I feel like you shouting 115 00:06:16,920 --> 00:06:20,600 Speaker 1: out Russia's word for refrigerator, I feel like the English 116 00:06:20,720 --> 00:06:23,320 Speaker 1: language where like the English language really went off on 117 00:06:23,680 --> 00:06:27,800 Speaker 1: the word refrigerator. That's pretty good like that. I feel 118 00:06:27,800 --> 00:06:31,000 Speaker 1: like maybe maybe there was like a Cold War competitiveness 119 00:06:31,400 --> 00:06:35,280 Speaker 1: that was happening there. But refrigerator is yeah, I kind 120 00:06:35,279 --> 00:06:37,400 Speaker 1: of like it. That's a cool word. Yeah. It sounds 121 00:06:37,440 --> 00:06:40,320 Speaker 1: like a brand name or something like. It sounds like 122 00:06:40,360 --> 00:06:41,560 Speaker 1: it was workshopped, right. 123 00:06:41,560 --> 00:06:42,800 Speaker 7: It sounds like it has a motor. 124 00:06:43,400 --> 00:06:45,359 Speaker 1: Yeah, yeah, yeah, you know. 125 00:06:45,360 --> 00:06:45,880 Speaker 5: What I'm saying. 126 00:06:46,160 --> 00:06:46,360 Speaker 1: Yeah. 127 00:06:46,760 --> 00:06:48,880 Speaker 7: Do you think just sounds like it makes cold? 128 00:06:50,200 --> 00:06:53,599 Speaker 4: Well, that's what it means, right, It doesn't mean cold 129 00:06:53,680 --> 00:06:53,960 Speaker 4: or something. 130 00:06:54,000 --> 00:06:56,480 Speaker 7: Yeah yeah, yeah, yeah, but I just mean I feel 131 00:06:56,480 --> 00:06:59,520 Speaker 7: like refrigerator doesn't make you think of cold. It makes 132 00:06:59,520 --> 00:07:03,000 Speaker 7: you think of motor. Yeah, keeping it. 133 00:07:02,960 --> 00:07:07,640 Speaker 1: Cold, frigid, throwing frigid in there, which is a good 134 00:07:08,200 --> 00:07:12,920 Speaker 1: evocative way to word for cold. So I don't know. 135 00:07:13,000 --> 00:07:16,040 Speaker 1: I think they really I think they saw what Russia 136 00:07:16,120 --> 00:07:17,600 Speaker 1: was doing and was like, we got we gotta do 137 00:07:17,680 --> 00:07:21,080 Speaker 1: better than ice chest. I think was what they called it, 138 00:07:22,000 --> 00:07:24,119 Speaker 1: ice automatic ice chest. 139 00:07:24,680 --> 00:07:26,640 Speaker 7: Ice chest has like a chalice vibe. 140 00:07:27,040 --> 00:07:29,200 Speaker 1: Yeah yeah, yeah it does. 141 00:07:29,720 --> 00:07:32,240 Speaker 7: You know, like I'm gonna sit on my ice chest 142 00:07:32,360 --> 00:07:36,280 Speaker 7: with my jealous of mead. My favorite Russian word borgia. 143 00:07:37,360 --> 00:07:40,560 Speaker 7: It is how you say ladybug. And it means God's 144 00:07:40,600 --> 00:07:44,800 Speaker 7: Little Cow, and I'm obsessed with it. My favorite isn't 145 00:07:44,800 --> 00:07:45,800 Speaker 7: that the cutest thing. 146 00:07:45,680 --> 00:07:48,440 Speaker 5: You've ever heard? Are you just are you just dying 147 00:07:48,520 --> 00:07:48,760 Speaker 5: right now? 148 00:07:48,760 --> 00:07:50,880 Speaker 7: Because I'm dying every time I think about it. 149 00:07:51,360 --> 00:07:57,440 Speaker 1: God, Yeah, look at that little guy. So fucking cute 150 00:07:57,600 --> 00:08:01,120 Speaker 1: and also not gendered the way that I guess it is. 151 00:08:02,240 --> 00:08:07,280 Speaker 1: It is because cols are girlies. Yeah, never mind, I'm 152 00:08:07,320 --> 00:08:10,800 Speaker 1: against it. God's Little cal is so cute. 153 00:08:11,240 --> 00:08:13,040 Speaker 7: I always thought that, like, if I was gonna like 154 00:08:13,080 --> 00:08:15,960 Speaker 7: be somebody that opened like a I don't know, like 155 00:08:16,560 --> 00:08:18,960 Speaker 7: a kindergarten or something, that's what I would call it. 156 00:08:19,440 --> 00:08:20,320 Speaker 1: God's Little Cow. 157 00:08:22,240 --> 00:08:23,960 Speaker 7: Be like that is the cutest. All of the kids 158 00:08:24,000 --> 00:08:24,720 Speaker 7: are gonna go here. 159 00:08:25,120 --> 00:08:28,960 Speaker 4: That's amazing, like a preschool, a Ladybug Ladybug preschool. But 160 00:08:29,000 --> 00:08:32,720 Speaker 4: there's probably many of them, so it really works. I 161 00:08:32,760 --> 00:08:33,680 Speaker 4: think it's a great name. 162 00:08:33,960 --> 00:08:35,000 Speaker 5: Thank you so much, Scott. 163 00:08:36,920 --> 00:08:42,000 Speaker 1: Scott. What is something you think is overrated? Massages? Massages? 164 00:08:42,160 --> 00:08:44,599 Speaker 4: I do not like giving massages, and I do not 165 00:08:44,880 --> 00:08:49,320 Speaker 4: like receiving massages, and they make me feel intensely uncomfortable, 166 00:08:49,520 --> 00:08:51,720 Speaker 4: and the fact that so many people love them so 167 00:08:51,800 --> 00:08:52,920 Speaker 4: much is a total mystery. 168 00:08:52,960 --> 00:08:55,600 Speaker 7: To me, have you ever had a good one. 169 00:08:55,960 --> 00:08:58,600 Speaker 4: I think I've had some some good ones. Yeah, like 170 00:08:58,679 --> 00:09:03,360 Speaker 4: on my honeymoon and expensive couples massage and like grease 171 00:09:03,480 --> 00:09:06,080 Speaker 4: or whatever that we paid lots and lots of money for. 172 00:09:06,760 --> 00:09:11,319 Speaker 4: I found it uncomfortable and akin to torture the entire time. 173 00:09:12,200 --> 00:09:15,240 Speaker 7: Well, money's not really how you judge it, because anyone 174 00:09:15,240 --> 00:09:17,040 Speaker 7: can just be like, oh, you're in a hotel, fucking 175 00:09:17,040 --> 00:09:19,520 Speaker 7: pay me a thousand dollars to touch you. That didn't 176 00:09:19,520 --> 00:09:23,400 Speaker 7: come out right. But I just kind of want to know, 177 00:09:23,880 --> 00:09:26,480 Speaker 7: do you get like the light kind, do you get 178 00:09:26,520 --> 00:09:28,920 Speaker 7: the deep kind? And do you think when they touch 179 00:09:28,960 --> 00:09:31,520 Speaker 7: you it's like too much pressure or too little or 180 00:09:31,559 --> 00:09:33,040 Speaker 7: do you just not like people touching you? 181 00:09:34,040 --> 00:09:37,320 Speaker 4: Yeah, it's it's all of the above. I've tried more 182 00:09:37,360 --> 00:09:40,000 Speaker 4: than once. I've had the light massages. I've had those 183 00:09:40,040 --> 00:09:43,800 Speaker 4: deep tissue massages that leave you feeling ill for days. 184 00:09:44,160 --> 00:09:47,040 Speaker 4: Like anytime they warn you ahead of time, like oh, hey, 185 00:09:47,080 --> 00:09:49,959 Speaker 4: this is this is gonna you're gonna just feel sick 186 00:09:50,040 --> 00:09:52,560 Speaker 4: and stuffed up for the next forty eight hours because 187 00:09:52,559 --> 00:09:55,040 Speaker 4: we're gonna rub so many toxins out of your flesh 188 00:09:55,080 --> 00:09:58,199 Speaker 4: and send it forcing through your your system, out of. 189 00:09:58,120 --> 00:10:00,760 Speaker 7: Your nose and drink a lot of water. 190 00:10:01,000 --> 00:10:03,560 Speaker 1: So they do tell you that. 191 00:10:02,960 --> 00:10:06,040 Speaker 7: I'm not no one, no one ever does myself included. 192 00:10:06,040 --> 00:10:08,400 Speaker 7: And then you're like, oh, why do I feel that nice? 193 00:10:08,480 --> 00:10:10,160 Speaker 7: I'm like, well, bitch, they told you. 194 00:10:10,480 --> 00:10:14,240 Speaker 1: Yeah, I like to go from massage directly to just 195 00:10:14,320 --> 00:10:17,200 Speaker 1: drinking a giant a train to of a cold brew. 196 00:10:18,280 --> 00:10:20,959 Speaker 7: Oh my god, you're the healthiest. That's how the voice 197 00:10:21,000 --> 00:10:27,040 Speaker 7: came around, and that's why I sound like this, Scott. 198 00:10:27,080 --> 00:10:28,520 Speaker 7: I think it's bold of you to admit that you 199 00:10:28,559 --> 00:10:30,400 Speaker 7: hate massages, because I think a ton of people do, 200 00:10:30,440 --> 00:10:32,760 Speaker 7: but they won't say anything because they're like, people think 201 00:10:32,800 --> 00:10:34,679 Speaker 7: I'm insane. It's like when someone says they don't like 202 00:10:34,720 --> 00:10:35,079 Speaker 7: wacam on. 203 00:10:36,000 --> 00:10:37,040 Speaker 1: Mm hmmm. Yeah. 204 00:10:37,080 --> 00:10:39,120 Speaker 4: Well, I mean it's a little more selfish to say 205 00:10:39,120 --> 00:10:42,120 Speaker 4: you hate giving massages. I think that's probably more, you know, 206 00:10:43,080 --> 00:10:45,400 Speaker 4: for that total you're a master. 207 00:10:46,120 --> 00:10:48,959 Speaker 7: I was going to come back to this podcast for that. 208 00:10:49,280 --> 00:10:53,360 Speaker 4: What's what's like? What is it a massage giving? What 209 00:10:53,480 --> 00:10:56,520 Speaker 4: is what is like? When is it okay to be annoyed? 210 00:10:56,920 --> 00:10:57,959 Speaker 4: Like how many minutes? 211 00:10:58,400 --> 00:11:02,080 Speaker 7: Because you can feel it, You can feel when the 212 00:11:02,120 --> 00:11:05,120 Speaker 7: person giving it is annoyed, so it's always done bad, 213 00:11:05,280 --> 00:11:07,640 Speaker 7: even that three minutes that they give and I'm like, 214 00:11:07,760 --> 00:11:10,440 Speaker 7: you know what, take your fucking lobster ass hands out 215 00:11:10,480 --> 00:11:14,680 Speaker 7: of here. I don't this pity massage. 216 00:11:16,679 --> 00:11:21,360 Speaker 1: They're just giving like mitten style massages, four figures together 217 00:11:21,520 --> 00:11:21,960 Speaker 1: and then. 218 00:11:22,160 --> 00:11:24,800 Speaker 7: Yeah, the fucking zoidberging my fucking neck. 219 00:11:24,920 --> 00:11:25,520 Speaker 5: I don't want that. 220 00:11:25,880 --> 00:11:29,000 Speaker 7: Fuck that, Scott, is that your style to do a 221 00:11:29,000 --> 00:11:29,480 Speaker 7: bad job? 222 00:11:29,520 --> 00:11:30,439 Speaker 5: So you're just out of there. 223 00:11:30,800 --> 00:11:33,280 Speaker 4: I mean, I try my best, but I promise it's bad. 224 00:11:33,440 --> 00:11:37,559 Speaker 4: That's I mean that no matter what I'll do, I'll 225 00:11:37,559 --> 00:11:41,360 Speaker 4: give it my absolute awe and will still disappoint and 226 00:11:41,400 --> 00:11:45,080 Speaker 4: then the annoyance will will come through. So I mean, 227 00:11:45,280 --> 00:11:47,800 Speaker 4: maybe that's at the heart of why I don't like them, 228 00:11:47,880 --> 00:11:51,720 Speaker 4: because I've never really had a good experience, either as 229 00:11:51,760 --> 00:11:53,800 Speaker 4: a giver or a receiver. But no, it's just not 230 00:11:54,000 --> 00:11:57,120 Speaker 4: it's just not my thing. Are you an expert massage giver? 231 00:11:57,240 --> 00:12:02,400 Speaker 7: Would you say, yeah, I'm awesome. I have the hands 232 00:12:02,400 --> 00:12:07,800 Speaker 7: of a cossion worker, but the gentleness of an angel of. 233 00:12:07,720 --> 00:12:09,040 Speaker 1: One of God's little cows. 234 00:12:09,320 --> 00:12:09,880 Speaker 5: Exactly. 235 00:12:12,400 --> 00:12:18,200 Speaker 1: Yeah, I like giving and receiving. I was complimented in 236 00:12:18,440 --> 00:12:22,560 Speaker 1: the past year that I received massage well from somebody, 237 00:12:23,520 --> 00:12:26,480 Speaker 1: and I took that. I was like, I didn't know 238 00:12:26,520 --> 00:12:29,760 Speaker 1: I needed to hear that about myself. But it really. 239 00:12:30,160 --> 00:12:38,000 Speaker 4: Possibly mean other than making noises really receptive noises. 240 00:12:37,559 --> 00:12:40,559 Speaker 5: Being like that is the spot. How did you know. 241 00:12:42,400 --> 00:12:48,000 Speaker 1: The person? Growner jack. Yeah, it's an nicest. 242 00:12:47,600 --> 00:12:48,719 Speaker 5: Way to say you're a. 243 00:12:48,720 --> 00:12:52,600 Speaker 1: Vocal Cross's really sweet. She gives uh, my wife and 244 00:12:52,640 --> 00:12:56,840 Speaker 1: I massages and she I think she just likes us 245 00:12:56,920 --> 00:12:59,199 Speaker 1: and so she like comes up with ways to compliment us. 246 00:12:59,200 --> 00:13:02,920 Speaker 1: But like that, You're right, it doesn't make sense to 247 00:13:03,440 --> 00:13:06,640 Speaker 1: like have a for that to be a skill that 248 00:13:06,679 --> 00:13:09,319 Speaker 1: somebody has. But I totally took it to heart. I 249 00:13:09,360 --> 00:13:11,840 Speaker 1: was like, yes, did she. 250 00:13:14,320 --> 00:13:15,080 Speaker 4: To your wife? 251 00:13:15,720 --> 00:13:18,640 Speaker 1: Yeah, she loves my wife. I mean she's given my 252 00:13:18,640 --> 00:13:20,800 Speaker 1: wife every single compliment in the world. 253 00:13:20,840 --> 00:13:24,280 Speaker 7: Maybe she's running out and that's why she's like this 254 00:13:24,440 --> 00:13:25,600 Speaker 7: massage your husband. 255 00:13:25,600 --> 00:13:28,679 Speaker 1: I don't know, did a good job taking a massage 256 00:13:28,760 --> 00:13:29,040 Speaker 1: from me? 257 00:13:30,720 --> 00:13:32,079 Speaker 5: She's taking a massage? 258 00:13:32,160 --> 00:13:35,599 Speaker 7: Sounds like so Dommy like yeah, yeah, of hers like 259 00:13:35,679 --> 00:13:37,280 Speaker 7: yeah you take that massage? 260 00:13:37,520 --> 00:13:37,840 Speaker 5: Good? 261 00:13:38,200 --> 00:13:39,120 Speaker 1: You take that, don't you? 262 00:13:39,400 --> 00:13:39,640 Speaker 7: Yeah? 263 00:13:39,720 --> 00:13:40,920 Speaker 5: Exactly? 264 00:13:41,600 --> 00:13:43,719 Speaker 1: What is something you think is underrated? 265 00:13:44,679 --> 00:13:49,840 Speaker 5: Popsicles? I've been obsessed. I so I bike everywhere in 266 00:13:49,880 --> 00:13:52,120 Speaker 5: the city and that's how I get around, and it's 267 00:13:52,280 --> 00:13:54,440 Speaker 5: very humid. I know you were you guys were saying 268 00:13:54,440 --> 00:13:57,640 Speaker 5: that someone a previous guest had said summer was overrated, 269 00:13:58,040 --> 00:14:00,719 Speaker 5: and I and I agree, it's very human here and 270 00:14:00,760 --> 00:14:03,120 Speaker 5: I'm biking everywhere. And when I get home, I want 271 00:14:03,120 --> 00:14:06,679 Speaker 5: a popsicle immediately. And I just found these new popsicles. 272 00:14:07,040 --> 00:14:10,400 Speaker 5: They're they're They're not sponsoring me. They're just Halo tops 273 00:14:10,559 --> 00:14:14,880 Speaker 5: pineapple popsicles. They're so good, They're so underrated. I ate 274 00:14:14,920 --> 00:14:19,440 Speaker 5: a whole box and one night, two nights ago. Wow, 275 00:14:19,520 --> 00:14:21,520 Speaker 5: I'm just obsessed with popsicles right now. So I think 276 00:14:21,520 --> 00:14:24,520 Speaker 5: they're deeply underrated and everyone should be eating popsicles all 277 00:14:24,520 --> 00:14:24,960 Speaker 5: the time. 278 00:14:25,840 --> 00:14:28,680 Speaker 6: Such a ringing endorsement. Now, are these halo pops are 279 00:14:28,720 --> 00:14:29,240 Speaker 6: they especially? 280 00:14:29,280 --> 00:14:29,960 Speaker 5: Is they're like. 281 00:14:30,440 --> 00:14:32,880 Speaker 6: Coconut milk mixed in there? Or is this just like 282 00:14:32,960 --> 00:14:34,320 Speaker 6: pure pineapple flavor? 283 00:14:34,680 --> 00:14:38,040 Speaker 5: I think it's just pure pineapple. It's like it says 284 00:14:38,080 --> 00:14:41,160 Speaker 5: like only forty calories per popsicle, And I'm like, how 285 00:14:41,440 --> 00:14:44,880 Speaker 5: how they taste so good? How is this possible? Yeah, 286 00:14:45,080 --> 00:14:46,440 Speaker 5: they're del by some of these. 287 00:14:46,480 --> 00:14:49,200 Speaker 6: I was looking at Rocket pops is doing like some 288 00:14:49,280 --> 00:14:52,480 Speaker 6: kind of advertisement for a new video game. But every 289 00:14:52,480 --> 00:14:54,160 Speaker 6: time it comes on, I'm like it was the last time, 290 00:14:54,280 --> 00:14:57,760 Speaker 6: Like a rocket pop, Like those things used to rule 291 00:14:57,840 --> 00:15:00,560 Speaker 6: my summer because that's usually you gave whatever is in 292 00:15:00,560 --> 00:15:03,800 Speaker 6: like the little plastic and they're like blue, pink, green, whatever, 293 00:15:03,920 --> 00:15:07,000 Speaker 6: and those are good. They're tasty, they're cold. If you 294 00:15:07,000 --> 00:15:09,320 Speaker 6: get a rock a pop, you're balling. Somebody has paid 295 00:15:09,320 --> 00:15:12,880 Speaker 6: you to mow their lawn. You have gone fat in 296 00:15:12,960 --> 00:15:16,200 Speaker 6: the house who's rich and you're just really living high 297 00:15:16,600 --> 00:15:19,880 Speaker 6: on a rocket top. Like I'm an adult, I have 298 00:15:19,880 --> 00:15:22,800 Speaker 6: one of these one ever, I gotta reinvest in my childhood. 299 00:15:23,720 --> 00:15:26,480 Speaker 5: Yeah, I think. I think popsicles maybe is a smaller 300 00:15:26,560 --> 00:15:29,520 Speaker 5: thing for what I'm really saying is underrated, which is like, yeah, 301 00:15:29,560 --> 00:15:32,120 Speaker 5: absolutely doing the things as an adult that you wanted 302 00:15:32,120 --> 00:15:33,920 Speaker 5: to do as a kid, and being like I can 303 00:15:33,960 --> 00:15:36,520 Speaker 5: do this anytime. I want to know, a whole box of 304 00:15:36,560 --> 00:15:39,600 Speaker 5: popsicles in a night, Absolutely, Yeah, I did that. 305 00:15:41,200 --> 00:15:44,360 Speaker 1: Have we been improving on popsicles? Yeah, it seems like 306 00:15:44,360 --> 00:15:48,760 Speaker 1: we have like the the Halo Top Pineapple pop popsicle, 307 00:15:48,920 --> 00:15:52,800 Speaker 1: like the again Halo Top, Like doesn't I think they're 308 00:15:52,880 --> 00:15:55,120 Speaker 1: lying to us but at least we feel better when 309 00:15:55,160 --> 00:15:58,080 Speaker 1: we're eating their ice cream and frozen treats. 310 00:15:58,320 --> 00:16:02,280 Speaker 5: There's also good pop and then make like a mango 311 00:16:02,400 --> 00:16:05,280 Speaker 5: chili pop and like a watermelon a gave pop and 312 00:16:05,320 --> 00:16:09,040 Speaker 5: those are also like very good and supposedly healthier for you. 313 00:16:09,280 --> 00:16:13,840 Speaker 6: So yeah, Total Wine is making margarita pops and I 314 00:16:13,960 --> 00:16:18,400 Speaker 6: have just transcended to another earthly plane. They're eighteen dollars 315 00:16:18,600 --> 00:16:21,360 Speaker 6: with the tequila in them. Or let me see hold on, 316 00:16:21,480 --> 00:16:24,200 Speaker 6: let me see the variety path. There are gluten free 317 00:16:24,320 --> 00:16:30,560 Speaker 6: children give that they got a mango margarita, pineapple, strawberry 318 00:16:30,600 --> 00:16:34,119 Speaker 6: and lime does contain alcohol made with real tequila? 319 00:16:34,440 --> 00:16:37,680 Speaker 5: Wow, all I freeze that. Though I don't understand that 320 00:16:37,760 --> 00:16:39,640 Speaker 5: scientifically cut. 321 00:16:39,360 --> 00:16:43,320 Speaker 6: Water frozen margarita pops, I don't know, but I want 322 00:16:43,360 --> 00:16:44,480 Speaker 6: to purchase these. 323 00:16:44,880 --> 00:16:45,080 Speaker 2: Yeah. 324 00:16:45,120 --> 00:16:47,880 Speaker 1: Every time I've tried to, like do the homemade popsicles like, 325 00:16:47,920 --> 00:16:50,400 Speaker 1: they don't turn out they're like more icy than I 326 00:16:50,440 --> 00:16:53,640 Speaker 1: feel like the ones that you buy in the store. 327 00:16:53,680 --> 00:16:56,000 Speaker 1: Like there's two. I feel like there has to be 328 00:16:56,040 --> 00:16:58,520 Speaker 1: like some sort of concentrate, like it has to be 329 00:16:58,640 --> 00:17:02,080 Speaker 1: concentrated juice er mm hmmm. 330 00:17:02,320 --> 00:17:05,240 Speaker 6: You know what makes the best homemade pops Jack kool Aid. 331 00:17:05,680 --> 00:17:09,159 Speaker 1: Kool Aid does I feel like it's very watery, not 332 00:17:09,280 --> 00:17:11,159 Speaker 1: if you had extra powder to so you just go 333 00:17:11,280 --> 00:17:13,240 Speaker 1: extra yeah, yeah, got extra. 334 00:17:13,040 --> 00:17:13,520 Speaker 5: Hard on it. 335 00:17:13,520 --> 00:17:16,440 Speaker 6: And then you pour them in a dixie cup, right, 336 00:17:16,520 --> 00:17:19,600 Speaker 6: and like maybe about halfway stick your popsicle in, freeze 337 00:17:19,640 --> 00:17:21,600 Speaker 6: the whole cup, and then you just like pop it 338 00:17:21,640 --> 00:17:22,520 Speaker 6: out of the plastic. 339 00:17:23,400 --> 00:17:26,239 Speaker 5: It's old school and it's delicious. That sounds good. I'm 340 00:17:26,240 --> 00:17:27,040 Speaker 5: gonna have to do that. 341 00:17:28,080 --> 00:17:31,760 Speaker 1: Popsicles are great. All right, Well, let's take a quick 342 00:17:31,760 --> 00:17:34,879 Speaker 1: break and we'll come back and talk about some news. 343 00:17:43,760 --> 00:17:49,560 Speaker 1: And we're back and Ted Cruz, I think we've talked. 344 00:17:49,720 --> 00:17:52,719 Speaker 1: We've checked him with him before on his journey of 345 00:17:52,800 --> 00:17:55,560 Speaker 1: trying out his catchphrase of kiss my ass. Like there 346 00:17:55,600 --> 00:17:58,520 Speaker 1: was a point where he said my and my pronouns 347 00:17:58,560 --> 00:18:02,840 Speaker 1: are kiss my ass, which I think he stole from Roseanne, 348 00:18:03,480 --> 00:18:08,280 Speaker 1: like a Roseanne stand up special. Sounds sorry, but he's 349 00:18:08,440 --> 00:18:13,760 Speaker 1: back trying to differentiate himself, make people care what he 350 00:18:13,840 --> 00:18:17,720 Speaker 1: has to say, and so earlier in the week, he 351 00:18:17,760 --> 00:18:20,240 Speaker 1: shared a video of a cop car knocking down an 352 00:18:20,359 --> 00:18:23,280 Speaker 1: environmental protester who was blocking the road to Burning Man, 353 00:18:23,600 --> 00:18:27,080 Speaker 1: with the caption play Stupid games win stupid prizes, so 354 00:18:27,640 --> 00:18:31,359 Speaker 1: seemingly he's in favor of cars mowing down peaceful protesters 355 00:18:32,000 --> 00:18:36,639 Speaker 1: and also implicitly is a fan of people flying private 356 00:18:36,720 --> 00:18:40,040 Speaker 1: jets to an event that has a literal orgy dome, 357 00:18:40,240 --> 00:18:43,520 Speaker 1: because that's what they were protesting, as people flying private 358 00:18:43,600 --> 00:18:48,040 Speaker 1: jets to burning Man. But somehow that wasn't his cringiest 359 00:18:48,640 --> 00:18:52,760 Speaker 1: move this week. So recently, the director of the National 360 00:18:52,800 --> 00:18:56,040 Speaker 1: Institute of Alcohol Abuse and Alcoholism said in an interview 361 00:18:56,320 --> 00:19:01,800 Speaker 1: that the group could hypothetically one day adopt Canada's recent 362 00:19:01,960 --> 00:19:06,080 Speaker 1: health guidelines recommending that adults should consume no more than 363 00:19:06,080 --> 00:19:11,200 Speaker 1: two alcoholic drinks per week. That there's no they Canada 364 00:19:11,240 --> 00:19:13,160 Speaker 1: did not say you go to jail if you drink 365 00:19:13,200 --> 00:19:19,480 Speaker 1: more than that. They just said, we would suggest that 366 00:19:19,600 --> 00:19:23,480 Speaker 1: it is healthier if you drink this much as opposed 367 00:19:23,520 --> 00:19:27,600 Speaker 1: to more than this much. And then the person from 368 00:19:27,800 --> 00:19:34,560 Speaker 1: the US made this just loud, unwavering statement, he said, 369 00:19:34,880 --> 00:19:37,879 Speaker 1: I mean, they're not going to go up. I'm pretty 370 00:19:37,880 --> 00:19:42,440 Speaker 1: sure with regards to like the alcohol guidelines. So if 371 00:19:42,840 --> 00:19:46,240 Speaker 1: alcohol conception guidelines go in any direction, it would probably 372 00:19:46,280 --> 00:19:50,360 Speaker 1: be toward Canada. And that is what the right has 373 00:19:50,400 --> 00:19:55,520 Speaker 1: seized on and been like, no, you will take these 374 00:19:55,560 --> 00:19:57,720 Speaker 1: beers out of our cold, dead. 375 00:19:57,520 --> 00:19:59,719 Speaker 5: Hands unless it's bud light. 376 00:20:00,600 --> 00:20:03,840 Speaker 1: Unless it's bud light, which case they're cool. But yeah, 377 00:20:03,880 --> 00:20:05,679 Speaker 1: so then he went on this news Matt. So he 378 00:20:05,760 --> 00:20:09,560 Speaker 1: goes on Newsmax and does just the most performative act 379 00:20:09,640 --> 00:20:12,440 Speaker 1: of beer drinking from anyone that's not a fourteen year 380 00:20:12,440 --> 00:20:17,159 Speaker 1: old at their first house party. He's just I don't know, 381 00:20:17,240 --> 00:20:22,920 Speaker 1: he just seems so uncomfortable, and he's like talking shit 382 00:20:23,000 --> 00:20:25,480 Speaker 1: about how they don't want you to use house fans 383 00:20:25,560 --> 00:20:28,160 Speaker 1: or ceiling fans. And then he's like, and if they 384 00:20:28,200 --> 00:20:31,040 Speaker 1: want us to drink two beers a week, frankly, they 385 00:20:31,080 --> 00:20:35,199 Speaker 1: can kiss my ass. And then he cracks open a 386 00:20:35,240 --> 00:20:38,840 Speaker 1: cold one, and then there's like these cowboys behind him. 387 00:20:39,160 --> 00:20:41,600 Speaker 1: Did you guys see the video. He's like in a 388 00:20:41,760 --> 00:20:48,240 Speaker 1: barn with like six cowboys standing behind him holding beers also, 389 00:20:48,880 --> 00:20:51,159 Speaker 1: and then when he takes a sip of his beer, 390 00:20:51,600 --> 00:20:53,360 Speaker 1: like they take a sip of their beer, but it's 391 00:20:53,400 --> 00:20:56,639 Speaker 1: like very quiet, like they do it all very quietly, 392 00:20:57,280 --> 00:21:00,000 Speaker 1: like nobody makes a sound, so it's all just like solid, 393 00:21:00,920 --> 00:21:04,080 Speaker 1: like men drinking in a dark room is the vibe 394 00:21:04,119 --> 00:21:09,320 Speaker 1: which terrifying yeah, terrifying, and also like probably, you know, 395 00:21:09,680 --> 00:21:13,040 Speaker 1: if you're trying to be like nobody has a drinking 396 00:21:13,080 --> 00:21:18,520 Speaker 1: problem here, Like just all these guys silently drinking in 397 00:21:18,520 --> 00:21:22,879 Speaker 1: a dark room like with just the weirdest vibes ever, 398 00:21:23,080 --> 00:21:26,880 Speaker 1: is probably not not the thing you want to go for. 399 00:21:27,000 --> 00:21:27,960 Speaker 1: But it's clear. 400 00:21:27,800 --> 00:21:32,040 Speaker 6: Alcohol it is meant to be consumed quietly with no talking, yes. 401 00:21:32,560 --> 00:21:37,959 Speaker 1: And then the anchor is like, well, haha, you said it, 402 00:21:38,000 --> 00:21:42,160 Speaker 1: Ted gonna, I'm gonna crack a non alcoholic beer here 403 00:21:42,280 --> 00:21:45,040 Speaker 1: due to station policy because I'm not allowed to drink 404 00:21:45,080 --> 00:21:49,480 Speaker 1: alcohol on air. But so that just like made it 405 00:21:49,600 --> 00:21:55,240 Speaker 1: even more embarrassing. And incidentally, the Canadian guideline classified as 406 00:21:55,280 --> 00:21:59,680 Speaker 1: a standard drink twelve ounce serving of five percent alcohol 407 00:21:59,680 --> 00:22:03,080 Speaker 1: beer and he was drinking a Shiner Bock, which is 408 00:22:03,320 --> 00:22:05,880 Speaker 1: four point four So the beer that he's talking about 409 00:22:05,920 --> 00:22:08,800 Speaker 1: wouldn't even count as a drink under the Canadian guidelines. 410 00:22:10,160 --> 00:22:10,920 Speaker 5: That's amazing. 411 00:22:11,560 --> 00:22:14,120 Speaker 6: I think Ted Cruz was having flashbacks to his college 412 00:22:14,200 --> 00:22:16,640 Speaker 6: days of like trying to get into parties and being 413 00:22:16,680 --> 00:22:19,520 Speaker 6: roundly rejected, and he was like, no, guys, I'm really cool. 414 00:22:19,520 --> 00:22:21,920 Speaker 6: Look how I want drink this beer? Like yeah, watch 415 00:22:22,000 --> 00:22:24,199 Speaker 6: me fit in This Is How You Do It right? 416 00:22:24,680 --> 00:22:25,119 Speaker 1: Watch right? 417 00:22:26,720 --> 00:22:32,639 Speaker 6: Yeah, Yeah, he's a that's a character I like. Craig Mason, 418 00:22:32,840 --> 00:22:35,720 Speaker 6: who some people might know as the showrunner of the 419 00:22:35,800 --> 00:22:38,800 Speaker 6: Last of Us. He also worked on the Hangover movies 420 00:22:38,840 --> 00:22:41,000 Speaker 6: back in the day. Was his roommate when Ted was 421 00:22:41,000 --> 00:22:43,200 Speaker 6: a senior and he was a freshman, And he's got 422 00:22:43,200 --> 00:22:45,960 Speaker 6: great stories to still live on Twitter if you want 423 00:22:46,000 --> 00:22:47,600 Speaker 6: to re visit some of. 424 00:22:47,560 --> 00:22:51,439 Speaker 5: Ted's crazy college days. I've seen this thread where I 425 00:22:51,480 --> 00:22:54,520 Speaker 5: can't even remember any specifics, but just how crazy he 426 00:22:54,600 --> 00:22:57,480 Speaker 5: was in college was like, ma'am, there's no way you 427 00:22:57,480 --> 00:23:00,000 Speaker 5: could accept him as like a friend or a normal person. 428 00:23:00,320 --> 00:23:03,240 Speaker 5: But maybe if we had, he wouldn't be here constantly 429 00:23:03,359 --> 00:23:07,280 Speaker 5: trying to get acceptance from everybody. 430 00:23:08,560 --> 00:23:11,800 Speaker 6: A greasy film on everything. My friend Eric dubbed the 431 00:23:11,840 --> 00:23:16,440 Speaker 6: substance cruz. See are uh z rhymes with scuz? Now 432 00:23:16,440 --> 00:23:20,240 Speaker 6: there's cruz on my TV. Craig Mason, January tenth, twenty sixteen. 433 00:23:20,960 --> 00:23:22,520 Speaker 5: More delightful stories like that. 434 00:23:23,560 --> 00:23:24,000 Speaker 1: Wow. 435 00:23:24,520 --> 00:23:24,720 Speaker 2: Yeah. 436 00:23:24,720 --> 00:23:27,959 Speaker 1: He also made Chernobyl, which was a favorite of ours. Craigman. 437 00:23:28,040 --> 00:23:30,240 Speaker 5: Oh yeah, a good show, very good show. 438 00:23:30,480 --> 00:23:35,760 Speaker 1: All right, Well, just moving down the conservative lineup, we've 439 00:23:35,760 --> 00:23:40,240 Speaker 1: got Rudy Giuliani. So we had covered before that he 440 00:23:41,040 --> 00:23:46,320 Speaker 1: was putting his apartment up for sale, and the price 441 00:23:46,359 --> 00:23:50,960 Speaker 1: point he's suggesting is six point five million dollars and 442 00:23:51,080 --> 00:23:53,480 Speaker 1: so no one has brought it yet bought it yet, 443 00:23:53,520 --> 00:23:56,679 Speaker 1: probably because first of all, it's Rudy Giuliani's apartment, so 444 00:23:56,720 --> 00:23:59,520 Speaker 1: it's like trying to sell a murder house. It might 445 00:23:59,520 --> 00:24:03,480 Speaker 1: have actually like been additive when he was America's mayor, 446 00:24:03,520 --> 00:24:08,360 Speaker 1: but now things are wildly different, obviously, but it's it's 447 00:24:08,400 --> 00:24:13,080 Speaker 1: being listed by the so called broker to the fallen Stars, 448 00:24:13,280 --> 00:24:16,560 Speaker 1: who also had to sell off Bernie Madoff's penthouse. What 449 00:24:16,680 --> 00:24:21,800 Speaker 1: a title, I know. It's just this person is like 450 00:24:21,880 --> 00:24:26,680 Speaker 1: specializes in selling off the homes of people who made 451 00:24:26,720 --> 00:24:32,840 Speaker 1: their millions in Ponzi schemes, and now Rudy Giuliani. But 452 00:24:32,880 --> 00:24:35,320 Speaker 1: people are pointing out that like it doesn't doesn't even 453 00:24:35,320 --> 00:24:38,520 Speaker 1: make sense, Like he's asking for like way more than 454 00:24:38,560 --> 00:24:42,280 Speaker 1: it's worth. Another unit in the same building that's basically 455 00:24:42,359 --> 00:24:45,760 Speaker 1: the same size currently on the market for two point 456 00:24:45,840 --> 00:24:49,320 Speaker 1: eight seven five million, and this is on the market 457 00:24:49,320 --> 00:24:52,480 Speaker 1: for six point five Wow, the last sale in the 458 00:24:52,480 --> 00:24:54,400 Speaker 1: building was three point seven. 459 00:24:54,280 --> 00:24:57,760 Speaker 5: Does he think that like the celebrity boost. Yeah, we'll 460 00:24:57,800 --> 00:24:59,200 Speaker 5: put it there. That's wild. 461 00:25:00,119 --> 00:25:03,080 Speaker 6: It's desperation because he knows he's has giant legal fees 462 00:25:03,240 --> 00:25:06,440 Speaker 6: coming up. There's no money coming in from anywhere. Everybody 463 00:25:06,440 --> 00:25:09,760 Speaker 6: who's even halfly intelligent Coutock ties with him, so there's 464 00:25:09,840 --> 00:25:12,680 Speaker 6: no I know, Trump's not helping him. Apparently he asks 465 00:25:12,680 --> 00:25:14,120 Speaker 6: for some help Trumps like get out of here. 466 00:25:14,200 --> 00:25:16,640 Speaker 5: Well Trump does not money either, so that makes sense. 467 00:25:17,040 --> 00:25:20,280 Speaker 1: Right, I Mean what one theory is that he's actually 468 00:25:20,440 --> 00:25:22,600 Speaker 1: doing that. He's putting his house on the market to 469 00:25:22,680 --> 00:25:27,399 Speaker 1: like show that he is in financial straits and like 470 00:25:27,480 --> 00:25:29,919 Speaker 1: can't pay any of his lawyers or whatever, and like 471 00:25:30,160 --> 00:25:32,680 Speaker 1: I think there's like some legal reasons for that, while 472 00:25:32,720 --> 00:25:36,560 Speaker 1: also like he doesn't want to sell the apartment and 473 00:25:36,600 --> 00:25:40,720 Speaker 1: so he's basically putting it on the market at like 474 00:25:41,640 --> 00:25:46,080 Speaker 1: an irrational like a completely unreasonable listing. 475 00:25:46,160 --> 00:25:46,679 Speaker 5: Will buy it? 476 00:25:47,320 --> 00:25:50,920 Speaker 1: Interesting, Yeah, that's kind of the idea. It's like that 477 00:25:51,520 --> 00:25:54,679 Speaker 1: he wants to argue he's like close to broke in 478 00:25:54,760 --> 00:25:57,679 Speaker 1: order to excuse the fact that he hasn't shared discovery 479 00:25:57,760 --> 00:26:01,840 Speaker 1: documents in the case brought against him by Smartmatic, the 480 00:26:01,920 --> 00:26:04,800 Speaker 1: election technology company that sued him and Fox News in 481 00:26:04,840 --> 00:26:08,960 Speaker 1: twenty twenty one over false claims of election fraud and 482 00:26:10,240 --> 00:26:14,920 Speaker 1: that like this way, no one will pay in order 483 00:26:14,960 --> 00:26:18,760 Speaker 1: to have like verifiable proof that you're broke and therefore 484 00:26:18,880 --> 00:26:23,920 Speaker 1: immune from certain legal responsibilities. And so in an earlier case, 485 00:26:23,960 --> 00:26:27,520 Speaker 1: he actually automatically lost his defamation case in which he 486 00:26:27,560 --> 00:26:30,240 Speaker 1: was sued by two election workers from Georgia for failing 487 00:26:30,320 --> 00:26:33,399 Speaker 1: to turn over evidence, and in that case, he was 488 00:26:33,440 --> 00:26:36,119 Speaker 1: also slapped with a one hundred and thirty two thousand 489 00:26:36,160 --> 00:26:40,040 Speaker 1: dollars bill for legal fees. So it's helpful for him 490 00:26:40,080 --> 00:26:42,400 Speaker 1: to be like, I'm in duress. I can't pay all 491 00:26:42,560 --> 00:26:47,200 Speaker 1: any of this stuff. Please leave me, leave me alone, 492 00:26:47,440 --> 00:26:51,359 Speaker 1: Please have pity on me, sir, And it seems like 493 00:26:51,400 --> 00:26:52,320 Speaker 1: nobody's buying it. 494 00:26:52,640 --> 00:26:57,919 Speaker 6: Essentially, it's nice to see people get what they deserve, 495 00:26:58,040 --> 00:26:59,159 Speaker 6: even if it's just so little. 496 00:26:59,760 --> 00:27:01,560 Speaker 5: Yeah, that's nice karma. 497 00:27:01,960 --> 00:27:04,560 Speaker 1: I'm really I can't wait to see the behind the 498 00:27:04,560 --> 00:27:09,359 Speaker 1: scenes of the mugshot, like how Trump's mugshot came about, 499 00:27:09,400 --> 00:27:12,520 Speaker 1: but also like what the messaging was to because like 500 00:27:12,960 --> 00:27:17,800 Speaker 1: Rudy seemed to have the same like be tough and 501 00:27:17,960 --> 00:27:22,840 Speaker 1: like angry face as Trump did, but like I just 502 00:27:22,880 --> 00:27:25,640 Speaker 1: want to know like what went into all of those photos? 503 00:27:25,680 --> 00:27:31,000 Speaker 1: Because he also looks just like a a corrupt businessman 504 00:27:31,040 --> 00:27:32,560 Speaker 1: who just got caught. 505 00:27:32,800 --> 00:27:34,360 Speaker 6: And you think they gave him a three to two 506 00:27:34,480 --> 00:27:39,200 Speaker 6: one countdown or I like smile click yeah he heads up, 507 00:27:39,240 --> 00:27:41,600 Speaker 6: or where they're just like and stand here click next, 508 00:27:41,840 --> 00:27:44,879 Speaker 6: like wait, But because I feel like he would have 509 00:27:46,160 --> 00:27:50,880 Speaker 6: tried to, like, I don't know, appear less guilty. 510 00:27:51,480 --> 00:27:54,960 Speaker 1: Yeah, they both looked so guilty. He looked really guilty. 511 00:27:55,000 --> 00:27:58,520 Speaker 1: He was giving off like the subtext of his picture. 512 00:27:58,600 --> 00:28:01,320 Speaker 1: The first word in the subtext of his picture is guilty. 513 00:28:02,000 --> 00:28:05,479 Speaker 1: He's just like, Oh, I would have gotten away with 514 00:28:05,560 --> 00:28:05,960 Speaker 1: it too. 515 00:28:06,840 --> 00:28:10,040 Speaker 5: Now, I'm like, has anyone ever smiled in their mugshot pictures? 516 00:28:10,080 --> 00:28:10,199 Speaker 1: Oh? 517 00:28:10,240 --> 00:28:14,680 Speaker 6: For sure, Lindsay Lohan, Yeah yeah, yeah, yeah yeah. There's 518 00:28:14,720 --> 00:28:17,640 Speaker 6: a bunch of like celebrity ladies are constantly like, listen, 519 00:28:17,720 --> 00:28:19,080 Speaker 6: you won't catch me with a bad photo. 520 00:28:19,600 --> 00:28:22,520 Speaker 5: I don't care. Where is this my good side? Okay, 521 00:28:23,640 --> 00:28:24,240 Speaker 5: now book me. 522 00:28:25,280 --> 00:28:28,119 Speaker 1: But in that earlier case, like the judge literally wrote, 523 00:28:28,160 --> 00:28:30,960 Speaker 1: donning a cloak of victimization may play well on a 524 00:28:30,960 --> 00:28:34,320 Speaker 1: public stage to certain audiences, but in a court of law, 525 00:28:34,400 --> 00:28:37,720 Speaker 1: this performance has served only to subvert the normal process 526 00:28:37,760 --> 00:28:41,640 Speaker 1: of discovery in a straightforward defamation case and then you know, 527 00:28:42,200 --> 00:28:44,720 Speaker 1: found him guilty and charged him one hundred and thirty 528 00:28:44,720 --> 00:28:48,160 Speaker 1: two thousand dollars legal fees. So it's not I don't 529 00:28:48,200 --> 00:28:52,480 Speaker 1: I also don't know, like what the theory is that, 530 00:28:52,560 --> 00:28:55,240 Speaker 1: like someone's going to feel sorry for him that his 531 00:28:55,360 --> 00:28:59,080 Speaker 1: six point five million dollar apartment isn't selling. Like that 532 00:28:59,160 --> 00:29:04,760 Speaker 1: doesn't feel a great strategy for making people like causing 533 00:29:04,800 --> 00:29:06,080 Speaker 1: people to feel sympathy for you. 534 00:29:07,160 --> 00:29:11,720 Speaker 6: Yeah, listen, it's all what else could he possibly try? 535 00:29:12,200 --> 00:29:15,920 Speaker 6: It was like, you know, bad housing markets totally, there's 536 00:29:15,920 --> 00:29:20,840 Speaker 6: some people who could empathize with the difficulty there because 537 00:29:20,880 --> 00:29:23,360 Speaker 6: he can't. What are you gonna use like his family, no, 538 00:29:24,160 --> 00:29:27,880 Speaker 6: his job situation. You did that here, rich Wakey. 539 00:29:27,920 --> 00:29:30,760 Speaker 8: What else you got to make empathize? But you try 540 00:29:30,840 --> 00:29:36,440 Speaker 8: to buy my house? That's yeah, it's an interesting strategy, 541 00:29:36,920 --> 00:29:39,720 Speaker 8: all right. And finally, let's talk about the pandemic two 542 00:29:39,800 --> 00:29:43,240 Speaker 8: point zero. This is a new conspiracy theory. You're probably 543 00:29:43,960 --> 00:29:47,320 Speaker 8: starting to see because Trump went on a long rant 544 00:29:47,360 --> 00:29:50,320 Speaker 8: about how left wing lunatics are trying very hard to 545 00:29:50,320 --> 00:29:53,920 Speaker 8: bring back COVID lockdowns and mandates, specifically to steal the 546 00:29:53,960 --> 00:30:00,280 Speaker 8: twenty twenty four election naturally, And yeah, I don't know, 547 00:30:00,360 --> 00:30:01,960 Speaker 8: this kind of came out. It seemed like he came 548 00:30:02,000 --> 00:30:03,560 Speaker 8: out of nowhere, but apparently. 549 00:30:03,240 --> 00:30:06,360 Speaker 1: It's been it's been a thing that's going going around 550 00:30:06,400 --> 00:30:08,640 Speaker 1: for a little while. First of all, I just want 551 00:30:08,640 --> 00:30:12,959 Speaker 1: to note that under the video that he posted on X, 552 00:30:13,680 --> 00:30:19,560 Speaker 1: like the two stories that they're linking off to that 553 00:30:19,840 --> 00:30:25,040 Speaker 1: like disprove his claims are actually like approaching the debunking 554 00:30:25,120 --> 00:30:27,800 Speaker 1: from the perspective of like, actually, Trump's the one who 555 00:30:27,840 --> 00:30:31,960 Speaker 1: started the lockdowns, which I get the logic of that, 556 00:30:32,240 --> 00:30:37,719 Speaker 1: like that even his even somebody who thinks the pandemic 557 00:30:37,960 --> 00:30:43,040 Speaker 1: was like a scam, will be convinced by that. But 558 00:30:43,080 --> 00:30:45,240 Speaker 1: it does just feel like, I don't know, I'm I 559 00:30:45,280 --> 00:30:48,360 Speaker 1: feel like I'm seeing that more and more, just the 560 00:30:48,680 --> 00:30:52,800 Speaker 1: embracing of the logic of like, yeah, well we didn't 561 00:30:52,840 --> 00:30:56,400 Speaker 1: need to go that hard and everybody overreacted right, like 562 00:30:56,440 --> 00:30:57,480 Speaker 1: we can all agree on that. 563 00:30:58,440 --> 00:31:02,200 Speaker 6: Yeah, from folks who seemingly before we're like, oh no, 564 00:31:02,280 --> 00:31:06,080 Speaker 6: I'm definitely like mask on and stuff. It's been weird, 565 00:31:06,280 --> 00:31:08,800 Speaker 6: like a weird turn of events to watch folks be 566 00:31:08,920 --> 00:31:11,640 Speaker 6: like and I'll never go back again, and I'm just 567 00:31:11,680 --> 00:31:15,040 Speaker 6: at a convention. I just still can't understand why wearing 568 00:31:15,080 --> 00:31:18,360 Speaker 6: a mask is seen as such an inconvenience. It's so easy, 569 00:31:18,840 --> 00:31:21,600 Speaker 6: It hardly does anything. It make you spell your own breath, 570 00:31:21,680 --> 00:31:24,280 Speaker 6: which you know is nice. If it's bad smelling, you 571 00:31:24,280 --> 00:31:26,600 Speaker 6: should know, you should you should be aware of what's 572 00:31:26,640 --> 00:31:28,520 Speaker 6: happening in that area of your body. 573 00:31:29,000 --> 00:31:31,480 Speaker 5: It's also great if you're like on the subway and 574 00:31:31,480 --> 00:31:33,840 Speaker 5: you're practicing lines for I don't know, an off Broadway 575 00:31:33,840 --> 00:31:35,440 Speaker 5: show you're about to do in a week, and you 576 00:31:35,440 --> 00:31:37,360 Speaker 5: don't want to look like a crazy person. You can 577 00:31:37,360 --> 00:31:39,320 Speaker 5: put a mask on and no one will be the wiser. 578 00:31:39,360 --> 00:31:39,800 Speaker 5: It's great. 579 00:31:40,160 --> 00:31:42,719 Speaker 6: You're having a bad day, looking not great, throw a 580 00:31:42,760 --> 00:31:46,200 Speaker 6: mask on. Guess what Now you're mysterious. Who's that girl? 581 00:31:46,240 --> 00:31:46,960 Speaker 1: What she's up to? 582 00:31:47,440 --> 00:31:51,160 Speaker 5: Yeah, it's honestly such a help. It's weird. 583 00:31:51,280 --> 00:31:53,640 Speaker 6: It's especially knowing that the numbers are going up and 584 00:31:53,680 --> 00:31:55,720 Speaker 6: I really feel like folks are like, I'm not going 585 00:31:55,800 --> 00:31:57,440 Speaker 6: back inside. 586 00:31:57,040 --> 00:31:58,280 Speaker 1: Screw of you. 587 00:31:58,920 --> 00:32:02,720 Speaker 5: Yeah, it's very funny that, like that's the mindset when 588 00:32:02,760 --> 00:32:07,200 Speaker 5: it's like the opposition none of us wanted to do this. 589 00:32:07,680 --> 00:32:09,720 Speaker 5: It feels like the argument is like someone's planning this 590 00:32:09,800 --> 00:32:12,400 Speaker 5: and they want to do this and I'm never going back. 591 00:32:12,440 --> 00:32:17,080 Speaker 1: It's like none of us enjoyed the lockdown, right, Yeah 592 00:32:17,200 --> 00:32:22,600 Speaker 1: that was not nobody's like pro pandemic. But that is 593 00:32:22,640 --> 00:32:23,880 Speaker 1: like how the argument. 594 00:32:23,640 --> 00:32:25,400 Speaker 5: Is being exactly structured? 595 00:32:25,440 --> 00:32:29,280 Speaker 1: Yeah structured? Is that like we're for so anyways, they're 596 00:32:30,120 --> 00:32:33,880 Speaker 1: like the There's been rumblings among right wing conspiracy theorists 597 00:32:33,880 --> 00:32:38,520 Speaker 1: for weeks now, basically following suggestions from public health officials 598 00:32:38,560 --> 00:32:41,560 Speaker 1: the people who are at higher risk may want to 599 00:32:41,600 --> 00:32:44,320 Speaker 1: wear masks in public following a rise in COVID cases, 600 00:32:44,800 --> 00:32:49,040 Speaker 1: and some colleges and companies, including the movie studio Lionsgate, 601 00:32:49,400 --> 00:32:54,600 Speaker 1: even reinstituted mask mandates Briefly. They are claiming that, like 602 00:32:54,640 --> 00:32:58,680 Speaker 1: a countrywide lockdown is coming this fall, and you know, 603 00:32:58,760 --> 00:33:04,560 Speaker 1: Alex Jones shockingly is responsible for this. He's claiming that 604 00:33:05,400 --> 00:33:08,840 Speaker 1: on August eighteenth, he claimed that a TSA whistleblower informed 605 00:33:08,920 --> 00:33:11,760 Speaker 1: him that mask mandates will return in September, followed by 606 00:33:11,800 --> 00:33:16,080 Speaker 1: a full blown lockdown in December. Called an anonymous Border 607 00:33:16,080 --> 00:33:19,600 Speaker 1: Patrol agent who confirmed the oddly specific claims and said 608 00:33:20,120 --> 00:33:23,560 Speaker 1: that we would imminently return to full COVID protocol of 609 00:33:23,600 --> 00:33:27,040 Speaker 1: twenty twenty twenty twenty one, and then perhaps because this 610 00:33:27,120 --> 00:33:29,880 Speaker 1: is a total bullshit, he also gave himself an out, 611 00:33:29,920 --> 00:33:33,520 Speaker 1: adding that the lockdown may not actually happen because he 612 00:33:33,600 --> 00:33:35,240 Speaker 1: had exposed it on the show. 613 00:33:35,800 --> 00:33:40,000 Speaker 5: Oh that's why think about Jones for saving us all. Yeah, 614 00:33:40,280 --> 00:33:41,240 Speaker 5: another lockdown? 615 00:33:41,400 --> 00:33:46,680 Speaker 1: Crazy, I know, But people on social media kind of 616 00:33:46,680 --> 00:33:50,120 Speaker 1: picked up on his claims, suggesting that the new COVID 617 00:33:50,160 --> 00:33:55,120 Speaker 1: surge was somehow connected to Trump's indictments. So this, this 618 00:33:55,200 --> 00:34:00,719 Speaker 1: is like the social media brain malfunction where like everything 619 00:34:01,720 --> 00:34:06,280 Speaker 1: like there's you just assume like everything is happening to 620 00:34:06,520 --> 00:34:09,600 Speaker 1: the too. This like only two or three people that 621 00:34:09,640 --> 00:34:12,759 Speaker 1: you're able to. It's like main character syndrome of like 622 00:34:12,880 --> 00:34:16,960 Speaker 1: following world events, we're like, oh, well, because COVID's going 623 00:34:17,000 --> 00:34:21,000 Speaker 1: back up, that must be related to Trump being indicted. 624 00:34:21,400 --> 00:34:23,319 Speaker 1: Like you just want to connect to the dots on 625 00:34:23,440 --> 00:34:26,000 Speaker 1: things that have nothing to do with one another because 626 00:34:26,880 --> 00:34:32,440 Speaker 1: your brain is only so big and can only you know, 627 00:34:32,800 --> 00:34:34,160 Speaker 1: hold so much information. 628 00:34:34,680 --> 00:34:36,560 Speaker 6: Oh man, I even know what to say about like 629 00:34:36,640 --> 00:34:42,160 Speaker 6: these conspiracy theorists, who I think when anyone is controlling 630 00:34:42,200 --> 00:34:45,000 Speaker 6: the spread of a pandemic, do you know how it 631 00:34:45,040 --> 00:34:47,520 Speaker 6: would be so epic if somebody could, They're like, Okay, 632 00:34:48,680 --> 00:34:51,600 Speaker 6: dates coming up. I'm going to drop the pandemic right 633 00:34:51,640 --> 00:34:53,760 Speaker 6: here in the same way I drop a music video. 634 00:34:54,239 --> 00:34:56,319 Speaker 6: I'm going to make sure this many people get it 635 00:34:56,360 --> 00:34:58,000 Speaker 6: so that we go into lockdown. 636 00:34:58,280 --> 00:34:59,800 Speaker 5: There's just no possible. 637 00:34:59,480 --> 00:35:04,600 Speaker 6: Conceivable way to start time releasing a pandemic or a disease, 638 00:35:05,000 --> 00:35:07,480 Speaker 6: and then on top of that to then think how 639 00:35:07,520 --> 00:35:12,080 Speaker 6: does this help and or hurt Trump? Right, Like the 640 00:35:12,120 --> 00:35:14,600 Speaker 6: math is a mathing, like either we are insider, we're not. 641 00:35:14,800 --> 00:35:17,760 Speaker 6: I don't know what effect that has on on whatever 642 00:35:17,800 --> 00:35:19,880 Speaker 6: Trump is going, other than maybe it would delay his 643 00:35:20,040 --> 00:35:21,040 Speaker 6: trial for a little. 644 00:35:20,840 --> 00:35:24,440 Speaker 1: Bit, right, Yeah, Yeah, I think the main thing that 645 00:35:24,640 --> 00:35:26,799 Speaker 1: is challenge is a challenge for Trump is that he 646 00:35:26,840 --> 00:35:29,720 Speaker 1: is like the most indicted human being in the history 647 00:35:29,719 --> 00:35:34,520 Speaker 1: of the United States, right, is also trying to run 648 00:35:34,560 --> 00:35:36,560 Speaker 1: for president while while dealing with that. 649 00:35:37,480 --> 00:35:41,760 Speaker 5: Yeah, the hubers on that guy amazing, it's wild wild 650 00:35:42,280 --> 00:35:44,120 Speaker 5: and paid a bail Bonceman too. 651 00:35:44,719 --> 00:35:49,520 Speaker 1: Right, Yeah. Steve Bannon's podcast co host Natalie Winters went 652 00:35:49,640 --> 00:35:52,840 Speaker 1: viral for posting out of context screenshots of Department of 653 00:35:52,920 --> 00:35:56,040 Speaker 1: Veterans Affairs purchase orders, suggesting that it was proof that 654 00:35:56,120 --> 00:35:59,400 Speaker 1: the US government was buying up equipment for a planned pandemic, 655 00:35:59,840 --> 00:36:04,600 Speaker 1: and the equipment was testing supplies and computer equipment, totaling 656 00:36:04,800 --> 00:36:09,480 Speaker 1: seven million dollars, which is like, to put it in perspective, 657 00:36:09,760 --> 00:36:14,880 Speaker 1: like they spent I think four trillion dollars on the pandemic, 658 00:36:15,239 --> 00:36:18,160 Speaker 1: like across all all of the different things that they 659 00:36:18,160 --> 00:36:18,960 Speaker 1: had to invest in. 660 00:36:20,800 --> 00:36:23,200 Speaker 5: I wish I could just post whatever and be fine 661 00:36:23,200 --> 00:36:23,480 Speaker 5: with it. 662 00:36:23,600 --> 00:36:26,319 Speaker 1: I know that's what they've discovered. 663 00:36:26,360 --> 00:36:30,240 Speaker 5: Truly, Truly, they like the truth is suggestive. 664 00:36:30,040 --> 00:36:33,680 Speaker 1: Right, whatever the fuck you want, and it will be 665 00:36:33,840 --> 00:36:37,600 Speaker 1: so and then so just like it's a it's a 666 00:36:37,640 --> 00:36:43,160 Speaker 1: good study in how these stories kind of happened, because 667 00:36:43,680 --> 00:36:46,719 Speaker 1: then you know it's it. It becomes this thing where 668 00:36:46,760 --> 00:36:50,240 Speaker 1: it's like all these dumb little like one person pointed 669 00:36:50,280 --> 00:36:54,400 Speaker 1: to a suburban target store was putting in more pickup 670 00:36:54,480 --> 00:36:56,799 Speaker 1: only spots in their parking lot. Like so it's like 671 00:36:56,880 --> 00:37:01,799 Speaker 1: all these ridiculous statements being made on various outlets. But 672 00:37:01,880 --> 00:37:06,239 Speaker 1: then The Daily Telegraph published a op ed warning about 673 00:37:06,239 --> 00:37:11,799 Speaker 1: Biden's lockdown plot, citing Biden administrations buying COVID equipment and 674 00:37:11,920 --> 00:37:15,880 Speaker 1: hiring pandemic safety protocol officers not to mention the Return 675 00:37:15,920 --> 00:37:18,600 Speaker 1: of the Mask mandates at the Lionsgate Film Studios in 676 00:37:18,680 --> 00:37:22,560 Speaker 1: Los Angeles. So it's like, that's how they launder their 677 00:37:22,560 --> 00:37:27,560 Speaker 1: bullshit from you know, a couple Twitter posts and you 678 00:37:27,600 --> 00:37:31,880 Speaker 1: know what, Steve Bannon's co host says to being in 679 00:37:31,920 --> 00:37:34,520 Speaker 1: an op ed as like, and this is evidence. 680 00:37:35,760 --> 00:37:38,440 Speaker 6: I like that they were like Targets putting in more spots. 681 00:37:38,480 --> 00:37:40,880 Speaker 6: It must mean the pandemic. So listen, Target do that 682 00:37:40,880 --> 00:37:42,759 Speaker 6: because it's so easy to order online and then you're 683 00:37:42,760 --> 00:37:46,080 Speaker 6: not tempted to order inside Target. This Target delivery slash 684 00:37:46,080 --> 00:37:48,759 Speaker 6: pickup is one of the greatest inventions ever. No more 685 00:37:49,160 --> 00:37:51,840 Speaker 6: are you perusing the aisles getting lost in pillows you 686 00:37:51,920 --> 00:37:55,000 Speaker 6: definitely don't need twelve more of. You can just order 687 00:37:55,080 --> 00:37:56,600 Speaker 6: and then they bring it to you, and then you 688 00:37:56,600 --> 00:37:59,120 Speaker 6: can go home with the money you intended to spend 689 00:37:59,560 --> 00:38:00,600 Speaker 6: still your pocket. 690 00:38:01,280 --> 00:38:01,960 Speaker 5: It's beautiful. 691 00:38:02,000 --> 00:38:06,680 Speaker 6: I promise it's not a sign of forthcoming pandemic lockdown. 692 00:38:06,520 --> 00:38:09,919 Speaker 5: But it does feel like it Probably loses Target money though, 693 00:38:09,960 --> 00:38:12,520 Speaker 5: because then you're not spending that money on ten pellows 694 00:38:12,560 --> 00:38:14,880 Speaker 5: you don't need. It probably hurts Target a little bit. 695 00:38:15,280 --> 00:38:18,080 Speaker 6: But also I'd consistently coming back, so I don't there 696 00:38:18,080 --> 00:38:18,399 Speaker 6: you go. 697 00:38:19,239 --> 00:38:22,279 Speaker 1: Yeah, it lowers the friction. That's what they call like 698 00:38:22,360 --> 00:38:25,960 Speaker 1: the difficulty of buying something if you just like go 699 00:38:26,480 --> 00:38:30,200 Speaker 1: hit the button, show up, and someone arrives and puts 700 00:38:30,200 --> 00:38:31,240 Speaker 1: it in the back of your car. 701 00:38:31,800 --> 00:38:34,040 Speaker 6: I will say, whatever AI is operating their system to 702 00:38:34,040 --> 00:38:35,680 Speaker 6: you has gotten pretty good at being like, hey, this 703 00:38:35,760 --> 00:38:37,239 Speaker 6: is on sale. You could just add this to your 704 00:38:37,239 --> 00:38:37,680 Speaker 6: cart right now. 705 00:38:37,719 --> 00:38:41,560 Speaker 1: Yeah. Well that's the other thing like they've perfected, like 706 00:38:41,640 --> 00:38:46,440 Speaker 1: the AI and the you know, web design and all 707 00:38:46,560 --> 00:38:50,480 Speaker 1: the things for like our little skinner box you know, 708 00:38:51,000 --> 00:38:56,360 Speaker 1: smartphones that we all live basically live inside, so that 709 00:38:56,680 --> 00:38:59,200 Speaker 1: they can sell you more. And actually that's what our 710 00:38:59,239 --> 00:39:01,560 Speaker 1: next story is about out, which is kind of the 711 00:39:01,600 --> 00:39:03,840 Speaker 1: reason that Taco Bell and a bunch of other companies 712 00:39:03,880 --> 00:39:07,359 Speaker 1: want to go cash lists. So yeah, let's let's take 713 00:39:07,400 --> 00:39:09,719 Speaker 1: a quick break and we'll come right back and talk 714 00:39:09,760 --> 00:39:21,560 Speaker 1: about that. And we're back, and just a few things 715 00:39:21,560 --> 00:39:24,719 Speaker 1: I wanted to hit so like that. There is this 716 00:39:24,760 --> 00:39:29,480 Speaker 1: one experiment where they figured out people who were particularly 717 00:39:29,680 --> 00:39:36,880 Speaker 1: susceptible to placebos, and they then like during the course 718 00:39:36,880 --> 00:39:40,400 Speaker 1: of a experiment, gave them a thing that like blocked 719 00:39:41,000 --> 00:39:45,800 Speaker 1: the opioid receptors in the brain. And the placebo effect 720 00:39:45,840 --> 00:39:47,520 Speaker 1: cut off, which. 721 00:39:47,280 --> 00:39:50,680 Speaker 3: Means, I mean it's that's super weird. 722 00:39:51,360 --> 00:39:54,440 Speaker 1: Yeah, it's weird, but it's basically it makes sense when 723 00:39:54,440 --> 00:39:56,560 Speaker 1: you realize when you think about the fact that, like 724 00:39:56,640 --> 00:40:02,319 Speaker 1: the brain is like its own pharmacy. It's creating the dopamine. 725 00:40:02,520 --> 00:40:05,360 Speaker 1: You know, the like add medication and stuff like that, 726 00:40:05,600 --> 00:40:09,080 Speaker 1: or you know, they're illegal drugs that cause your brain 727 00:40:09,160 --> 00:40:11,200 Speaker 1: to like make more dopamine that like make you feel 728 00:40:11,239 --> 00:40:14,640 Speaker 1: even better. But your brain is creating its own dopamine 729 00:40:14,680 --> 00:40:15,719 Speaker 1: on its own schedule. 730 00:40:16,320 --> 00:40:18,080 Speaker 3: My brain is my favorite dealer. 731 00:40:18,800 --> 00:40:22,759 Speaker 1: Yeah, your brain is its own like drug dealer slash pharmacist. 732 00:40:22,920 --> 00:40:26,799 Speaker 1: And you know that, then doctors get involved when like 733 00:40:26,840 --> 00:40:29,080 Speaker 1: it's not doing the job that it needs to do. 734 00:40:29,680 --> 00:40:33,960 Speaker 1: But you know that what is happening in like that, 735 00:40:34,120 --> 00:40:39,040 Speaker 1: This study would suggest that what's happening when people experience 736 00:40:39,040 --> 00:40:43,480 Speaker 1: the placebo effect is that your brain is producing the 737 00:40:43,520 --> 00:40:48,600 Speaker 1: actual chemical that the medication is supposed to be producing. 738 00:40:49,120 --> 00:40:52,359 Speaker 1: It just didn't need the medication to actually be in 739 00:40:52,400 --> 00:40:55,759 Speaker 1: the pill to get you to to to get the 740 00:40:55,760 --> 00:40:58,920 Speaker 1: brain to do the thing that your body kind of 741 00:40:59,000 --> 00:41:02,839 Speaker 1: knows it needs in that moment. So I mean, from 742 00:41:02,920 --> 00:41:09,480 Speaker 1: that perspective, like being susceptible to placebo is such is 743 00:41:09,560 --> 00:41:12,680 Speaker 1: such an amazing like superpower where it's just like, oh, yeah, 744 00:41:13,600 --> 00:41:17,560 Speaker 1: my body and brain can just like make these medications for. 745 00:41:17,680 --> 00:41:20,799 Speaker 3: Me, right, And it's not I think it's important to 746 00:41:20,840 --> 00:41:24,680 Speaker 3: note it's not like gullibility. It being able to get 747 00:41:24,680 --> 00:41:27,359 Speaker 3: the effect of a placebo is not that like you 748 00:41:27,520 --> 00:41:32,359 Speaker 3: are stupid or gullible. There's like a study on seeing like, oh, 749 00:41:32,400 --> 00:41:36,799 Speaker 3: are people who are easily hypnotized also like susceptible to placebo? 750 00:41:36,960 --> 00:41:40,240 Speaker 3: And there was no connection there either. It just seems 751 00:41:40,239 --> 00:41:44,040 Speaker 3: to be a thing that like affects almost everyone in 752 00:41:44,160 --> 00:41:48,880 Speaker 3: terms of being able to you know, benefit or suffer 753 00:41:48,960 --> 00:41:51,240 Speaker 3: from the placebo or no Cibo effect. 754 00:41:51,680 --> 00:41:56,880 Speaker 2: Yeah, we understand. We understand so little of this because 755 00:41:57,880 --> 00:42:00,120 Speaker 2: listen listening to what you guys say, think about how 756 00:42:00,239 --> 00:42:03,080 Speaker 2: difficult it is to study this, and how difficult it 757 00:42:03,120 --> 00:42:09,040 Speaker 2: is to set up an effective trial that perfectly filters 758 00:42:09,080 --> 00:42:13,000 Speaker 2: out every possibly confounding thing that could be some form 759 00:42:13,040 --> 00:42:16,080 Speaker 2: of placebo or no Cibo effect. This is why our 760 00:42:16,120 --> 00:42:20,400 Speaker 2: mental health medications have barely improved in the last fifty 761 00:42:20,480 --> 00:42:25,520 Speaker 2: years or something like that. It is unbelievably difficult to 762 00:42:25,719 --> 00:42:28,759 Speaker 2: nail down the effectiveness of something like an antidepressant or 763 00:42:28,800 --> 00:42:33,480 Speaker 2: an anti anxiety because again, placebos work really well for anxiety. 764 00:42:33,520 --> 00:42:36,800 Speaker 2: When you have somebody telling you, well, my anti anxiety pills, 765 00:42:36,840 --> 00:42:40,640 Speaker 2: I go work in my garden, they're not lying. Like 766 00:42:40,800 --> 00:42:45,840 Speaker 2: repetitive motion, exercise, sunlight. Those are physical things that affect 767 00:42:45,920 --> 00:42:49,439 Speaker 2: all of those biological reactions to anxiety. They're not being 768 00:42:49,640 --> 00:42:53,480 Speaker 2: a hippie. And you know, I don't you sound like 769 00:42:53,520 --> 00:42:57,280 Speaker 2: a scientologist. We start ranting about how ineffective these medications are, 770 00:42:57,640 --> 00:43:00,880 Speaker 2: but the truth is you get about seven of the 771 00:43:00,920 --> 00:43:05,640 Speaker 2: same effect from a passebo for mild depression because of 772 00:43:05,680 --> 00:43:07,919 Speaker 2: course you do it. You know, if you've got some 773 00:43:08,600 --> 00:43:11,520 Speaker 2: whatever fancy t that's supposed to really you know, to 774 00:43:11,600 --> 00:43:15,040 Speaker 2: calm you down, just the ceremony of making it, and 775 00:43:15,160 --> 00:43:21,759 Speaker 2: given the ceremony of making it, sitting down, drinking something hot, 776 00:43:21,840 --> 00:43:26,239 Speaker 2: drinking it slowly, there's yeah, that can have most of 777 00:43:26,280 --> 00:43:30,400 Speaker 2: the effect of a medication without the terrible side effects. 778 00:43:30,480 --> 00:43:33,200 Speaker 2: The issue is that is such an incredibly dangerous thing 779 00:43:33,800 --> 00:43:36,640 Speaker 2: for people to hear because some people who have very 780 00:43:36,680 --> 00:43:41,560 Speaker 2: severe symptoms, who definitely need prescription medication, they tend to 781 00:43:41,600 --> 00:43:45,000 Speaker 2: be the ones who like, see, I don't, I don't 782 00:43:45,000 --> 00:43:50,040 Speaker 2: need that voodoo. It is incredibly difficult to nail down 783 00:43:50,320 --> 00:43:53,920 Speaker 2: the effectiveness of any of these because, as you just said, 784 00:43:54,040 --> 00:43:57,960 Speaker 2: like that, we even now have doubts about exactly what's 785 00:43:58,000 --> 00:44:01,759 Speaker 2: placebo and what's just no treatment at all. Depression is 786 00:44:01,800 --> 00:44:03,600 Speaker 2: just like a lot of those things we mentioned earlier. 787 00:44:03,960 --> 00:44:07,400 Speaker 2: It cats better and think about all the factors in 788 00:44:07,440 --> 00:44:10,440 Speaker 2: a person's life that can improve their mood. Yeah, it's like, 789 00:44:10,480 --> 00:44:13,200 Speaker 2: we have three months, three months on these sugar pills, 790 00:44:13,239 --> 00:44:15,920 Speaker 2: and my depression went away. Also I got a different 791 00:44:16,000 --> 00:44:18,760 Speaker 2: job and the boss that terrorized me is no longer 792 00:44:18,800 --> 00:44:21,960 Speaker 2: in my life. And also my chronic knee injury stopped hurting, 793 00:44:22,000 --> 00:44:23,799 Speaker 2: so I didn't have the chronic pain weighing on me. 794 00:44:23,840 --> 00:44:27,160 Speaker 2: It's like, which of the four million factors in a 795 00:44:27,239 --> 00:44:31,600 Speaker 2: human life caused your depression to go away? And us 796 00:44:31,880 --> 00:44:34,080 Speaker 2: people who to sound smart, who like to say, well, 797 00:44:34,080 --> 00:44:36,520 Speaker 2: it's all just brain chemicals, it's all just serotonin or 798 00:44:36,520 --> 00:44:40,680 Speaker 2: whatever that is that is boiling it down. That's simplifying 799 00:44:40,719 --> 00:44:41,839 Speaker 2: it so much as to make it. 800 00:44:41,800 --> 00:44:43,120 Speaker 1: Wrong, right. 801 00:44:43,760 --> 00:44:47,280 Speaker 3: I mean, it's like it's true that it's like all 802 00:44:47,560 --> 00:44:53,279 Speaker 3: brain stuff, but your brain responds very well to your environments, 803 00:44:53,320 --> 00:44:56,480 Speaker 3: so environmental things are going to have a massive effect 804 00:44:56,680 --> 00:45:01,920 Speaker 3: on your brain. Like you know, your your general habits, 805 00:45:02,000 --> 00:45:05,440 Speaker 3: what your life is like, what you're eating, what you're doing, 806 00:45:05,680 --> 00:45:08,440 Speaker 3: what you're thinking. All these things just kind of like 807 00:45:08,640 --> 00:45:14,920 Speaker 3: form this like cyclone that can really affect your state 808 00:45:14,960 --> 00:45:19,080 Speaker 3: of mind. It's also really difficult with the studies on 809 00:45:19,840 --> 00:45:23,120 Speaker 3: medication for like say, depression, anxiety, et cetera, because the 810 00:45:23,600 --> 00:45:28,560 Speaker 3: like everyone's brain is very different, so the heterogeneity effects 811 00:45:28,680 --> 00:45:34,160 Speaker 3: in these studies are just very hard to compensate for, 812 00:45:34,440 --> 00:45:39,239 Speaker 3: Like a medication that works really well for someone may 813 00:45:39,239 --> 00:45:41,759 Speaker 3: not work at all for another person even though they 814 00:45:41,760 --> 00:45:46,400 Speaker 3: both have depression. Because one person's depression and another person's depression. 815 00:45:46,440 --> 00:45:51,239 Speaker 3: It's not like a you know, simple like disease. It's 816 00:45:51,280 --> 00:45:53,440 Speaker 3: not like a broken bone where it's like, okay, you 817 00:45:53,480 --> 00:45:56,560 Speaker 3: can kind of like the procedure for healing a broken 818 00:45:56,600 --> 00:46:00,640 Speaker 3: bone for one person another person is generally someone similar. 819 00:46:00,960 --> 00:46:04,439 Speaker 3: But for something like depression, it's like you have a 820 00:46:04,480 --> 00:46:08,120 Speaker 3: totally different thing going on from one person to the next, 821 00:46:08,160 --> 00:46:13,480 Speaker 3: given how complicated the brain is and how like broad 822 00:46:13,560 --> 00:46:16,800 Speaker 3: spectrum something like depression is in terms of what's causing 823 00:46:16,880 --> 00:46:19,040 Speaker 3: it what's going on? And I mean the same can 824 00:46:19,080 --> 00:46:23,000 Speaker 3: be said for a lot of like non psychological disorders 825 00:46:23,040 --> 00:46:24,799 Speaker 3: as well, Like there are a lot of diseases where 826 00:46:24,800 --> 00:46:27,839 Speaker 3: it's like, well, treatment for one person seems to work 827 00:46:27,880 --> 00:46:30,239 Speaker 3: before another person does not work at all because their 828 00:46:30,239 --> 00:46:33,080 Speaker 3: bodies are different and their systems are different. So it's 829 00:46:33,120 --> 00:46:35,880 Speaker 3: like a huge challenge in medicine. 830 00:46:36,160 --> 00:46:38,719 Speaker 2: Even if they were genetically the same, which they're not. 831 00:46:39,680 --> 00:46:43,480 Speaker 2: Are their diets different, are their sleep patterns different? Is 832 00:46:43,520 --> 00:46:46,160 Speaker 2: their home life different, is their social lives different? Do 833 00:46:46,200 --> 00:46:48,920 Speaker 2: they have different numbers of friends? All those things can 834 00:46:48,960 --> 00:46:51,240 Speaker 2: impact how your brain works exactly. 835 00:46:51,320 --> 00:46:54,640 Speaker 3: I mean, your brain structure changes over time based on 836 00:46:54,680 --> 00:46:57,799 Speaker 3: your environment. It's not like you're born sort of with 837 00:46:57,880 --> 00:47:00,960 Speaker 3: a baby brain and then it goes like it's genetically 838 00:47:01,000 --> 00:47:04,320 Speaker 3: programmed to turn into an adult brain. Like you're born 839 00:47:04,440 --> 00:47:10,200 Speaker 3: with the very plastic brain that responds incredibly sensitively to 840 00:47:10,360 --> 00:47:12,239 Speaker 3: your environment and what happens to you. 841 00:47:13,160 --> 00:47:16,719 Speaker 1: Yeah, the two examples that jumped out to me this 842 00:47:16,760 --> 00:47:20,040 Speaker 1: time doing the research on the side of like just 843 00:47:20,040 --> 00:47:23,480 Speaker 1: a straightforward placebo effect, like this is a pill causing 844 00:47:23,520 --> 00:47:26,000 Speaker 1: you to do causing your body to do a thing, 845 00:47:26,440 --> 00:47:30,600 Speaker 1: it's still like the pill color things is still like 846 00:47:30,640 --> 00:47:32,959 Speaker 1: so mind blowing to me. Like they gave a group 847 00:47:33,000 --> 00:47:36,799 Speaker 1: of medical students two new drugs, one a sedative and 848 00:47:36,840 --> 00:47:40,920 Speaker 1: the other stimulant, and like they were given either one 849 00:47:41,000 --> 00:47:44,920 Speaker 1: or two blue or pink tablets, and the tablets were 850 00:47:44,960 --> 00:47:48,000 Speaker 1: all inert they were sugar pills, but the students' responses 851 00:47:48,400 --> 00:47:51,560 Speaker 1: on a questionnaire indicated the red tablets where pink tablets 852 00:47:51,600 --> 00:47:54,080 Speaker 1: tended to act as stimulants, while the blue ones acted 853 00:47:54,120 --> 00:47:58,160 Speaker 1: as depressants, and two tablets had more effect than one. 854 00:47:58,920 --> 00:48:02,480 Speaker 1: And it it's not it doesn't really make sense, but 855 00:48:02,719 --> 00:48:06,120 Speaker 1: like you, you can't boil it down to anything that 856 00:48:06,239 --> 00:48:09,680 Speaker 1: is like happening other than with like meaning like pink 857 00:48:09,760 --> 00:48:13,480 Speaker 1: or red means like hot or danger, and blue means 858 00:48:13,560 --> 00:48:16,799 Speaker 1: like cool and quiet, and right. 859 00:48:16,719 --> 00:48:20,160 Speaker 3: Blue means cool ranch stritos. Red means flame. 860 00:48:19,960 --> 00:48:23,160 Speaker 1: And hot nacho cheese. Yeah exactly. And that's why I 861 00:48:23,239 --> 00:48:24,840 Speaker 1: wake up, to get wake up in the morning, I 862 00:48:24,840 --> 00:48:26,680 Speaker 1: eat nacho cheese and to go to bed and I 863 00:48:26,760 --> 00:48:27,720 Speaker 1: eat cool ranch. 864 00:48:28,160 --> 00:48:28,920 Speaker 3: Yeah exactly. 865 00:48:29,480 --> 00:48:29,760 Speaker 1: Yeah. 866 00:48:29,920 --> 00:48:32,040 Speaker 2: I can give you an example even without an experiment. 867 00:48:32,120 --> 00:48:34,840 Speaker 2: I know people who will drink an espresso or drink 868 00:48:35,080 --> 00:48:38,719 Speaker 2: an energy drink and while they're drinking it, we'll talk 869 00:48:38,760 --> 00:48:40,719 Speaker 2: about how wired they are, like, oh my gosh, it's 870 00:48:40,760 --> 00:48:43,120 Speaker 2: hitting me. Well, it takes forty five minutes for caffeine 871 00:48:43,120 --> 00:48:46,880 Speaker 2: to enter the bloodstrain. Yeah, that's you. You drinking the 872 00:48:46,920 --> 00:48:49,120 Speaker 2: red Bull, and after two gulps is like, oh my gosh, 873 00:48:49,120 --> 00:48:50,880 Speaker 2: I can feel it hitting me. It's like it's like 874 00:48:50,920 --> 00:48:53,480 Speaker 2: you didn't inject it into your vein. You drink it. 875 00:48:53,480 --> 00:48:56,520 Speaker 2: It has to be absorbed into your system. But that 876 00:48:56,600 --> 00:49:00,000 Speaker 2: spasibo effect, you know, And if you if you felt 877 00:49:00,080 --> 00:49:03,480 Speaker 2: that that soon, you just told yourself. So think about 878 00:49:03,840 --> 00:49:06,480 Speaker 2: did you need the energy drink at all? If you 879 00:49:06,520 --> 00:49:10,000 Speaker 2: can talk yourself into bouncing off the walls because you 880 00:49:10,120 --> 00:49:13,400 Speaker 2: thought that, oh my gosh, the whole eighty hole milgrams 881 00:49:13,400 --> 00:49:16,319 Speaker 2: of caffeine has slammed into my system, which by the way, 882 00:49:16,400 --> 00:49:20,759 Speaker 2: is not very much. And I personally believe making the 883 00:49:20,840 --> 00:49:23,920 Speaker 2: can big and with a big, loud, stupid name like 884 00:49:24,160 --> 00:49:27,799 Speaker 2: C four bomb sickle and it's got like a stick 885 00:49:27,800 --> 00:49:30,680 Speaker 2: a dynamite on it, I think that helps the placebo effect. 886 00:49:30,719 --> 00:49:33,440 Speaker 2: I think you drink a big, bombasting can of something, 887 00:49:33,480 --> 00:49:35,560 Speaker 2: it's like, man, that's going to hit me like a 888 00:49:35,560 --> 00:49:38,360 Speaker 2: freight train. I think it can have it could be decaf, 889 00:49:38,360 --> 00:49:40,439 Speaker 2: and I think it would hit you mostly the same way. 890 00:49:40,880 --> 00:49:43,480 Speaker 3: Yeah, I want an energy drink that's just called brain 891 00:49:43,600 --> 00:49:45,640 Speaker 3: bone or juice. 892 00:49:47,000 --> 00:49:51,120 Speaker 1: Your brain is gonna fuck so hard. And then the 893 00:49:51,520 --> 00:49:55,359 Speaker 1: other example that's kind of in the other direction was 894 00:49:56,120 --> 00:50:00,919 Speaker 1: they looked at the cause of death between China, these Americans, 895 00:50:01,160 --> 00:50:06,680 Speaker 1: and randomly selected group of white people in California, and 896 00:50:07,320 --> 00:50:10,680 Speaker 1: it was found that Chinese Americans, but not the white people, 897 00:50:11,440 --> 00:50:16,000 Speaker 1: will die significantly earlier than normal if they have a 898 00:50:16,040 --> 00:50:20,960 Speaker 1: combination of disease and birth year, which Chinese astrology and 899 00:50:21,080 --> 00:50:26,840 Speaker 1: medicine consider ill fated. And so it's you know, Chinese 900 00:50:26,880 --> 00:50:32,120 Speaker 1: Americans whose deaths were attributed to lymphatic cancer and if 901 00:50:32,160 --> 00:50:35,000 Speaker 1: they were born in Earth years and consequently were deemed 902 00:50:35,040 --> 00:50:39,400 Speaker 1: by Chinese medicine like especially susceptible to diseases involving lumps, 903 00:50:39,440 --> 00:50:44,080 Speaker 1: not nodules or tumors, had an averaged death age like 904 00:50:44,400 --> 00:50:48,040 Speaker 1: four years younger than people who were not born in 905 00:50:48,200 --> 00:50:52,200 Speaker 1: one of those years. And no such you know, difference 906 00:50:52,560 --> 00:50:57,080 Speaker 1: existed among the group of white people. So it's just 907 00:50:57,480 --> 00:51:00,120 Speaker 1: and that was true across like I don't know the 908 00:51:00,160 --> 00:51:03,680 Speaker 1: ins and outs of what Chinese medicine believes and like 909 00:51:03,719 --> 00:51:08,359 Speaker 1: what the different year meanings are, but like it just 910 00:51:09,000 --> 00:51:15,279 Speaker 1: it feels like very strongly determined by like meaning and 911 00:51:15,400 --> 00:51:18,440 Speaker 1: like the stories that we tell ourselves about ourselves and 912 00:51:18,480 --> 00:51:22,480 Speaker 1: that like we like exist within and so I don't know, 913 00:51:22,640 --> 00:51:26,040 Speaker 1: it's I find that one like kind of hopeful in 914 00:51:26,080 --> 00:51:29,840 Speaker 1: a way because like you can I don't know, like 915 00:51:30,080 --> 00:51:33,120 Speaker 1: tell yourself stories and like sort of free yourself from 916 00:51:33,160 --> 00:51:35,480 Speaker 1: some of the stories that we tell ourselves that it 917 00:51:35,760 --> 00:51:39,560 Speaker 1: can be damaging about ourselves. Like like what there was 918 00:51:39,600 --> 00:51:42,600 Speaker 1: also a study where they told people the truth. They 919 00:51:42,640 --> 00:51:46,640 Speaker 1: were like, this is a placebo effect study, and like 920 00:51:46,800 --> 00:51:49,319 Speaker 1: the truth is that like placebo effects have been shown 921 00:51:49,360 --> 00:51:53,960 Speaker 1: to like help people, and like that it had clear 922 00:51:54,520 --> 00:51:58,160 Speaker 1: like positive results just by being honest, which I always 923 00:51:58,200 --> 00:52:00,320 Speaker 1: thought like an important part of the police Cibo effect 924 00:52:00,360 --> 00:52:06,480 Speaker 1: would be the lying. But yeah, apparently not, which doesn't 925 00:52:06,600 --> 00:52:07,640 Speaker 1: really make sense to me. 926 00:52:07,800 --> 00:52:11,480 Speaker 3: But like rituals I think can really have a strong effect. 927 00:52:11,520 --> 00:52:13,120 Speaker 3: Like you put the pill in your mouth and you 928 00:52:13,160 --> 00:52:16,279 Speaker 3: swallow the water, and even if you know it's a placebo, 929 00:52:16,360 --> 00:52:19,279 Speaker 3: you've still done the ritual in your body. You may 930 00:52:19,320 --> 00:52:22,200 Speaker 3: still have sort of this like connection to the ritual 931 00:52:22,239 --> 00:52:25,239 Speaker 3: and feeling better. So it's you know, it's like if 932 00:52:25,239 --> 00:52:27,879 Speaker 3: you've ever found like a calming routine, like some kind 933 00:52:27,880 --> 00:52:31,160 Speaker 3: of meditation routine or calming routine that you do, like 934 00:52:31,239 --> 00:52:34,560 Speaker 3: once you sort of get into the typical position that 935 00:52:34,600 --> 00:52:37,120 Speaker 3: you're in, that it's like, well, I start listening to music, 936 00:52:37,200 --> 00:52:39,840 Speaker 3: I sit on the couch or something. Once you practice 937 00:52:39,880 --> 00:52:41,880 Speaker 3: it and do it a bunch, it works better. Like 938 00:52:41,960 --> 00:52:46,560 Speaker 3: meditation or calming yourself down, like works better once you've 939 00:52:46,600 --> 00:52:49,000 Speaker 3: practiced it, because once you start to do it, you 940 00:52:49,120 --> 00:52:52,440 Speaker 3: make the association between like, well, once I when I 941 00:52:52,560 --> 00:52:55,759 Speaker 3: light this candle or listen to this music, I start 942 00:52:55,800 --> 00:52:58,080 Speaker 3: to feel calm. And then it's like, even though you 943 00:52:58,120 --> 00:53:02,160 Speaker 3: know it's not like medicine, yeah, you've come to associate 944 00:53:02,200 --> 00:53:05,399 Speaker 3: the ritual with feeling better, but yeah with the with 945 00:53:05,480 --> 00:53:09,880 Speaker 3: the that study on like the zodiac or wait is 946 00:53:09,880 --> 00:53:10,520 Speaker 3: it zodiac? 947 00:53:11,120 --> 00:53:14,760 Speaker 1: Yeah, che medicine like right, It's it makes. 948 00:53:14,560 --> 00:53:18,160 Speaker 3: Me think about when we when someone has a disease 949 00:53:18,520 --> 00:53:21,359 Speaker 3: and they're given a time frame for like how much 950 00:53:21,520 --> 00:53:25,280 Speaker 3: longer they have to live. I've always had mixed feelings 951 00:53:25,320 --> 00:53:29,360 Speaker 3: about that because on one hand, I think it's good 952 00:53:29,520 --> 00:53:32,440 Speaker 3: right to like prepare people for like, hey, you know 953 00:53:32,560 --> 00:53:35,960 Speaker 3: you have terminal cancer, so you might want to like 954 00:53:36,160 --> 00:53:39,040 Speaker 3: prepare and get your affairs in order and all this. 955 00:53:39,160 --> 00:53:43,680 Speaker 3: But having a time frame in a way also seems 956 00:53:43,760 --> 00:53:49,799 Speaker 3: like you are kind of potentially negating any kind of 957 00:53:49,880 --> 00:53:54,560 Speaker 3: like placebo effect of like, well if I can like, 958 00:53:55,080 --> 00:53:58,080 Speaker 3: you know, like maybe this thing will kill me eventually. 959 00:53:58,239 --> 00:54:00,279 Speaker 3: But then if you feel like, well, I'm definitely going 960 00:54:00,360 --> 00:54:04,239 Speaker 3: to die in like a year or X months, I 961 00:54:04,320 --> 00:54:07,239 Speaker 3: wonder if that has an effect on how long you 962 00:54:07,280 --> 00:54:10,480 Speaker 3: actually have. It's not to say that the diagnosis is 963 00:54:10,520 --> 00:54:13,759 Speaker 3: incorrect or that's something like terminal cancer you can just 964 00:54:13,840 --> 00:54:17,319 Speaker 3: think your way out of, but there is something on 965 00:54:17,360 --> 00:54:20,720 Speaker 3: the margins in terms of like how healthy you are 966 00:54:20,760 --> 00:54:23,919 Speaker 3: and continue to be based on your mind frame. Right, 967 00:54:24,000 --> 00:54:26,560 Speaker 3: So it's like, I don't think you could beat a 968 00:54:26,680 --> 00:54:30,120 Speaker 3: terminal diagnosis through some kind of placebo effect, but I 969 00:54:30,239 --> 00:54:33,279 Speaker 3: could imagine your quality of life and your length of 970 00:54:33,360 --> 00:54:37,680 Speaker 3: time left could be affected by whether you feel completely 971 00:54:37,719 --> 00:54:40,040 Speaker 3: doomed or not within a certain period of time. 972 00:54:40,560 --> 00:54:40,759 Speaker 1: Right. 973 00:54:40,960 --> 00:54:45,960 Speaker 2: I think you stumbled on a big, big thing in 974 00:54:46,000 --> 00:54:50,279 Speaker 2: our society, which is, for example, to me, it is 975 00:54:50,320 --> 00:54:54,240 Speaker 2: not surprising at all that yoga cures all sorts of things. 976 00:54:54,760 --> 00:54:58,239 Speaker 2: You're stretching, it's you've got to a room to see 977 00:54:58,280 --> 00:55:00,719 Speaker 2: the silnd or with white noise, or with music. It's 978 00:55:00,760 --> 00:55:02,640 Speaker 2: something you often do in a group where a bunch 979 00:55:02,640 --> 00:55:04,880 Speaker 2: of people all doing something in sync. You know, we 980 00:55:05,080 --> 00:55:08,279 Speaker 2: humans are social animals. That has its own benefit. It 981 00:55:08,280 --> 00:55:11,919 Speaker 2: does not surprise me that that helps cure all sorts 982 00:55:11,960 --> 00:55:16,400 Speaker 2: of things. None of us stretch enough and just. And 983 00:55:16,480 --> 00:55:19,279 Speaker 2: it's also its exertion. You know, it's very strenuous. If 984 00:55:19,280 --> 00:55:22,080 Speaker 2: you've never done yoga before, it will kick your ass. 985 00:55:22,360 --> 00:55:25,320 Speaker 2: You don't. It's not just stretching like it's holding difficult positions. 986 00:55:25,800 --> 00:55:30,160 Speaker 2: But part of yoga is that there's a religion around 987 00:55:30,200 --> 00:55:32,799 Speaker 2: it basically, and it's all of this stuff that I 988 00:55:32,840 --> 00:55:36,360 Speaker 2: know is on scientific about Well, this stretch will release 989 00:55:36,560 --> 00:55:41,200 Speaker 2: any financial stress in your life, because financial anxiety tends 990 00:55:41,239 --> 00:55:44,560 Speaker 2: to store in your hips. Yeah, you've got to realign 991 00:55:44,560 --> 00:55:48,799 Speaker 2: your chakra. You've got to the mystical spiritual energies and 992 00:55:48,880 --> 00:55:51,800 Speaker 2: the body. Thetans have to be released through your spine. 993 00:55:52,560 --> 00:55:57,880 Speaker 2: So the question is does the mythology make it work better? 994 00:55:59,520 --> 00:56:02,719 Speaker 2: And once you apply it, think about yoga, you think 995 00:56:02,719 --> 00:56:05,080 Speaker 2: about all of the other things in society where we 996 00:56:05,160 --> 00:56:09,239 Speaker 2: tell people a story to get them to behave a 997 00:56:09,239 --> 00:56:12,880 Speaker 2: certain way and the story is not true, but it 998 00:56:12,960 --> 00:56:16,839 Speaker 2: is effective at healing that we're making them healthier, And 999 00:56:16,880 --> 00:56:19,360 Speaker 2: what are the ethics of that? Because, for example, it 1000 00:56:19,400 --> 00:56:23,160 Speaker 2: is my understanding that studies has consistently found that placebos 1001 00:56:23,200 --> 00:56:25,799 Speaker 2: work better when they are expensive. Yeah, because you don't 1002 00:56:25,840 --> 00:56:27,680 Speaker 2: want to feel like you wasted your money. So the 1003 00:56:28,120 --> 00:56:31,240 Speaker 2: ethics of selling somebody a powder of ground up shark 1004 00:56:31,280 --> 00:56:33,680 Speaker 2: bones or something, and this is going to carry you 1005 00:56:33,719 --> 00:56:36,560 Speaker 2: anxiety and it's like, well, actually, people don't just buy 1006 00:56:36,600 --> 00:56:38,840 Speaker 2: it once, They buy it for years because they swear, 1007 00:56:39,080 --> 00:56:40,000 Speaker 2: they swear by it. 1008 00:56:40,000 --> 00:56:40,440 Speaker 1: It works. 1009 00:56:40,880 --> 00:56:43,080 Speaker 2: I would like to accuse those people of being thieves, 1010 00:56:43,080 --> 00:56:44,319 Speaker 2: But are they right? 1011 00:56:44,920 --> 00:56:49,200 Speaker 3: We should start making it not like shark bones and stuff, 1012 00:56:49,239 --> 00:56:52,520 Speaker 3: because sharks are endangered in some cases and it's bad, 1013 00:56:52,560 --> 00:56:55,759 Speaker 3: But like animals that we hate, we should make up 1014 00:56:55,800 --> 00:56:59,799 Speaker 3: stories about their bones and blood and stuff being good, Like, hey, 1015 00:57:00,080 --> 00:57:03,280 Speaker 3: round up mosquitoes are an aphrodisiac because like, who cares 1016 00:57:03,719 --> 00:57:06,279 Speaker 3: they kill a bunch of mosquitos? Or like an invasive 1017 00:57:06,760 --> 00:57:10,480 Speaker 3: species of like you know, like hey, the crowd of 1018 00:57:10,520 --> 00:57:13,840 Speaker 3: thorns starfish? You know they're invasive, but if you grind 1019 00:57:13,840 --> 00:57:17,440 Speaker 3: them up, it'll give you a boner. Like let's let's 1020 00:57:17,800 --> 00:57:23,080 Speaker 3: let's like, let's start making shitty animals the ones that 1021 00:57:23,120 --> 00:57:24,720 Speaker 3: we turn into medicine. 1022 00:57:25,120 --> 00:57:27,520 Speaker 1: Yeah, I think I think a lot of supplements are 1023 00:57:27,520 --> 00:57:30,600 Speaker 1: mostly sawdust. By the way, Like when they test what's 1024 00:57:30,640 --> 00:57:33,200 Speaker 1: actually in there, they're like, oh, this is. 1025 00:57:33,520 --> 00:57:36,200 Speaker 2: Well, yes, yeah, this is just things like saying because 1026 00:57:36,200 --> 00:57:39,800 Speaker 2: it's not regulated, that doesn't have to go through the FDA, 1027 00:57:39,840 --> 00:57:42,640 Speaker 2: and because it also doesn't do anything so who hears. 1028 00:57:42,920 --> 00:57:45,120 Speaker 2: But if you buy Saint John's Word or Jensing or 1029 00:57:45,120 --> 00:57:47,320 Speaker 2: any of that stuff, you'll often find that the amount 1030 00:57:47,320 --> 00:57:49,959 Speaker 2: in a pill is somewhere between ten percent or four 1031 00:57:50,080 --> 00:57:52,200 Speaker 2: hundred percent of what it says in the label because 1032 00:57:52,360 --> 00:57:54,800 Speaker 2: they're not being precise about it because you can't overdose 1033 00:57:54,840 --> 00:57:57,960 Speaker 2: on it because it's just just an herber or whatever. 1034 00:57:58,360 --> 00:57:58,600 Speaker 1: Yeah. 1035 00:57:59,120 --> 00:58:03,240 Speaker 3: It's also just like medicine is a relatively news science. 1036 00:58:03,280 --> 00:58:05,440 Speaker 3: I know we think of it as being very old, 1037 00:58:05,520 --> 00:58:08,240 Speaker 3: but it wasn't that long ago that we were like 1038 00:58:09,720 --> 00:58:12,760 Speaker 3: cutting holes in people's skulls and thinking that would like 1039 00:58:13,120 --> 00:58:14,560 Speaker 3: take the demons. 1040 00:58:14,040 --> 00:58:17,280 Speaker 1: Out, and it did sometimes and. 1041 00:58:17,560 --> 00:58:22,080 Speaker 3: Sometimes trepending sometimes worked it's not to say, you know, 1042 00:58:22,200 --> 00:58:24,520 Speaker 3: like I don't think any of us, well I don't 1043 00:58:24,520 --> 00:58:25,960 Speaker 3: want to speak for anyone, but I don't think any 1044 00:58:25,960 --> 00:58:30,120 Speaker 3: of us believes that like medicine is bs. Like I think, 1045 00:58:30,280 --> 00:58:33,480 Speaker 3: you know, if your doctor is like, hey, you need 1046 00:58:33,520 --> 00:58:36,600 Speaker 3: treatment for this thing, you shouldn't be like yeah, right, jerk, 1047 00:58:37,240 --> 00:58:41,760 Speaker 3: Like there are like medicine. Modern medicine is pretty incredible 1048 00:58:41,800 --> 00:58:45,000 Speaker 3: in terms of how actually like we have actually figured 1049 00:58:45,040 --> 00:58:49,800 Speaker 3: out how certain proteins interlock with other proteins and that 1050 00:58:49,920 --> 00:58:54,280 Speaker 3: it affects your body. And that's incredible. But it's also 1051 00:58:54,400 --> 00:58:58,560 Speaker 3: I think there's this separation of like, all right, here's 1052 00:58:58,600 --> 00:59:02,840 Speaker 3: the real hard physic cold medicine, and then the brain 1053 00:59:02,880 --> 00:59:05,760 Speaker 3: the mind stuff, which is just kind of like you know, 1054 00:59:06,560 --> 00:59:10,800 Speaker 3: like hippie dippy brain stuff. It's not real. And I 1055 00:59:10,800 --> 00:59:13,640 Speaker 3: think that's I think that's a big problem. Like I 1056 00:59:13,680 --> 00:59:18,760 Speaker 3: think that a lot of things could be accomplished if 1057 00:59:18,800 --> 00:59:22,040 Speaker 3: we kind of didn't have this disconnect between like the 1058 00:59:22,080 --> 00:59:26,040 Speaker 3: body's health, the like the body and the brain, and 1059 00:59:26,080 --> 00:59:30,040 Speaker 3: this like separation of like, well, there's real medicine and 1060 00:59:30,080 --> 00:59:32,680 Speaker 3: then there's like you know, like just sort of mind 1061 00:59:32,680 --> 00:59:36,720 Speaker 3: over matter, you know, silly stuff. And I think combining 1062 00:59:36,800 --> 00:59:41,880 Speaker 3: the power of modern medical advancement and the understanding of 1063 00:59:41,960 --> 00:59:46,080 Speaker 3: how the brain impacts the body can help in a 1064 00:59:46,120 --> 00:59:49,800 Speaker 3: lot of ways, like you know, preventing like over medicalization 1065 00:59:49,880 --> 00:59:53,240 Speaker 3: of things, but also treatment of things that do need medicine, 1066 00:59:53,280 --> 00:59:56,800 Speaker 3: but could also use like the idea that you know, 1067 00:59:56,840 --> 01:00:00,080 Speaker 3: you treat just the thing that's happening in the body 1068 01:00:00,120 --> 01:00:03,200 Speaker 3: without addressing sort of the psychological impacts I think is 1069 01:00:03,480 --> 01:00:04,600 Speaker 3: kind of limited. 1070 01:00:05,160 --> 01:00:09,040 Speaker 2: I also think we have unrealistic expectations of medicine compared 1071 01:00:09,080 --> 01:00:12,200 Speaker 2: to where we are, but we think everything should be 1072 01:00:13,480 --> 01:00:16,040 Speaker 2: be able to have an instant diagnosis. Here's what it is, 1073 01:00:16,080 --> 01:00:20,120 Speaker 2: here's the pill that fixes it. Including things that are 1074 01:00:20,160 --> 01:00:24,120 Speaker 2: like well, I'm fatigued all the time. It's like, well, 1075 01:00:24,440 --> 01:00:27,280 Speaker 2: what else do you have going on your life? As like, wow, 1076 01:00:27,360 --> 01:00:30,360 Speaker 2: I work three jobs and I have a figure and 1077 01:00:30,760 --> 01:00:32,320 Speaker 2: I need you to give me a pill that will 1078 01:00:32,360 --> 01:00:35,080 Speaker 2: make my fatigue go away. Or you know this is 1079 01:00:35,400 --> 01:00:38,360 Speaker 2: Ask any therapist and they will have the patient. It's like, 1080 01:00:38,560 --> 01:00:41,040 Speaker 2: I'm depressed. I need the treatment for depression. It's like, oh, 1081 01:00:41,040 --> 01:00:44,120 Speaker 2: when did your depression star Approximately, well, when my wife 1082 01:00:44,160 --> 01:00:47,120 Speaker 2: died and then my dog died six months later and 1083 01:00:47,120 --> 01:00:49,440 Speaker 2: then I lost my job because of my I was 1084 01:00:49,480 --> 01:00:52,000 Speaker 2: so sad about my wife dying and now I got 1085 01:00:52,040 --> 01:00:56,000 Speaker 2: kicked out of my apartment and it's like, Okay, your 1086 01:00:56,040 --> 01:01:00,080 Speaker 2: life is a disaster. You want a pill that will 1087 01:01:00,200 --> 01:01:03,200 Speaker 2: and I think that you know, it's it's stupid to 1088 01:01:03,240 --> 01:01:05,280 Speaker 2: say we have too much faith in science. It is 1089 01:01:05,400 --> 01:01:09,920 Speaker 2: unfair to ask a pill to fix that. You have 1090 01:01:10,000 --> 01:01:13,000 Speaker 2: a long rountain to climb of getting things back in 1091 01:01:13,040 --> 01:01:16,280 Speaker 2: your li but your body is telling you, you know, man, 1092 01:01:16,320 --> 01:01:18,960 Speaker 2: this sucks. It's not because your brain's producing too much 1093 01:01:18,960 --> 01:01:21,760 Speaker 2: of a chemicals because your life is a disaster. It 1094 01:01:21,880 --> 01:01:23,440 Speaker 2: just is. Your life is not as good as it 1095 01:01:23,560 --> 01:01:27,200 Speaker 2: was before, so it is part of it is. It 1096 01:01:27,280 --> 01:01:29,160 Speaker 2: is funny because you have part of the population who 1097 01:01:29,160 --> 01:01:32,040 Speaker 2: refuses to believe in science or vaccines, but then you 1098 01:01:32,080 --> 01:01:34,560 Speaker 2: have another part of the population that, for example, thought 1099 01:01:34,600 --> 01:01:36,800 Speaker 2: that the moment they invent a vaccine for a disease, 1100 01:01:36,840 --> 01:01:41,240 Speaker 2: that are just vanishes overnight. It's like, the truth is, 1101 01:01:41,320 --> 01:01:46,320 Speaker 2: these are inventions by humans. They're not magic. They're miraculous 1102 01:01:46,320 --> 01:01:48,240 Speaker 2: and since compared to what we were able to do 1103 01:01:48,280 --> 01:01:51,720 Speaker 2: three hundred years ago. But no, sometimes you're going to 1104 01:01:51,760 --> 01:01:53,240 Speaker 2: go to the doctor, and the doctor's going to say, 1105 01:01:53,240 --> 01:01:55,400 Speaker 2: we don't have a way to fix this yet, and 1106 01:01:55,560 --> 01:01:58,040 Speaker 2: usually patients do not take that as an answer. They 1107 01:01:58,080 --> 01:02:00,720 Speaker 2: demand a to walk out of their with a prescription, 1108 01:02:00,800 --> 01:02:03,800 Speaker 2: and lots of times they just gave you something to 1109 01:02:03,840 --> 01:02:06,840 Speaker 2: make you go right, because it's like, we don't know 1110 01:02:06,880 --> 01:02:09,840 Speaker 2: how to fix this yet. It's just that's the situation. 1111 01:02:10,840 --> 01:02:14,920 Speaker 3: I've literally like felt, oh man, I'm so fatigued. Am 1112 01:02:14,920 --> 01:02:18,760 Speaker 3: I sick? And then I realized it's nighttime, it's bedtime. 1113 01:02:18,880 --> 01:02:21,040 Speaker 3: I have to go to sleep. I'm like, oh god, 1114 01:02:21,080 --> 01:02:23,320 Speaker 3: am I coming down with something. It's like, well, no, 1115 01:02:23,360 --> 01:02:24,920 Speaker 3: it's midnight and I should go. 1116 01:02:24,880 --> 01:02:27,200 Speaker 1: To bed this nighttime fatigue disorder. 1117 01:02:27,280 --> 01:02:29,640 Speaker 2: And I did the normal thing where I looked at 1118 01:02:29,640 --> 01:02:31,960 Speaker 2: my phone for four hours after I went to bed, 1119 01:02:32,600 --> 01:02:34,479 Speaker 2: and I woke up the next morning feeling my crap, 1120 01:02:34,520 --> 01:02:36,000 Speaker 2: I'm coming down with something, right. 1121 01:02:36,080 --> 01:02:40,720 Speaker 1: Happy, All right, that's gonna do it for this week's 1122 01:02:41,000 --> 01:02:45,600 Speaker 1: weekly Zeitgeist. Please like and review the show if you like. 1123 01:02:45,880 --> 01:02:50,760 Speaker 1: The show means the world to Miles. He needs your validation. 1124 01:02:50,920 --> 01:02:51,280 Speaker 8: Folks. 1125 01:02:51,880 --> 01:02:54,960 Speaker 1: I hope you're having a great weekend and I will 1126 01:02:54,960 --> 01:02:56,320 Speaker 1: talk to you Monday. Bye. 1127 01:03:00,160 --> 01:03:22,080 Speaker 2: Stinging