1 00:00:00,280 --> 00:00:03,640 Speaker 1: Hello the Internet, and welcome to this episode of Jiff 2 00:00:03,680 --> 00:00:09,440 Speaker 1: Peanut Trender. It's peanut butter but trending. I am Jack 3 00:00:09,480 --> 00:00:11,560 Speaker 1: and I'm thrilled to be joined by a special guest 4 00:00:11,600 --> 00:00:12,680 Speaker 1: co host, Paula. 5 00:00:16,320 --> 00:00:18,720 Speaker 2: You know, I'm not afraid to say it. I have 6 00:00:18,840 --> 00:00:20,760 Speaker 2: heart radio. You know what I mean. 7 00:00:21,120 --> 00:00:22,920 Speaker 1: That means so much to us. 8 00:00:23,480 --> 00:00:24,400 Speaker 2: You're so welcome. 9 00:00:24,840 --> 00:00:28,400 Speaker 1: Oh my god, thank you so much. But do you 10 00:00:28,440 --> 00:00:34,839 Speaker 1: iHeart podcast Network? No, unfortunately I do not. iHeart podcast Network, Paulave. 11 00:00:35,320 --> 00:00:39,159 Speaker 1: It's been so wonderful having you here. It is the 12 00:00:39,200 --> 00:00:44,000 Speaker 1: most wonderful time of the year. My phone is blowing 13 00:00:44,440 --> 00:00:45,840 Speaker 1: up right now. 14 00:00:46,120 --> 00:00:48,600 Speaker 2: I've never felt less alone in a bad way. 15 00:00:51,200 --> 00:00:55,840 Speaker 1: So many people want to talk to me with spam 16 00:00:55,920 --> 00:00:59,520 Speaker 1: texts about the election. Spam text not about the election. 17 00:00:59,600 --> 00:01:01,640 Speaker 1: It feels like they were like, you know what, they're 18 00:01:01,640 --> 00:01:03,600 Speaker 1: going to be getting so much spam text about the 19 00:01:03,640 --> 00:01:07,319 Speaker 1: election that we can do spam text just being like, hey, 20 00:01:07,600 --> 00:01:10,880 Speaker 1: how's everything been with you lately? I got two in 21 00:01:10,920 --> 00:01:14,360 Speaker 1: a row with heart emojis like that, just double tap 22 00:01:14,680 --> 00:01:19,200 Speaker 1: okay for Kamala, thank you. Yeah. I think they are 23 00:01:19,280 --> 00:01:23,280 Speaker 1: trying to fuck me into voting for Kamala. Harris We're 24 00:01:23,280 --> 00:01:26,920 Speaker 1: going to check back in with Trump's sundowning brainstorming tour. 25 00:01:28,040 --> 00:01:31,319 Speaker 2: He are you saying his brain is a sundowntown? Is 26 00:01:31,319 --> 00:01:32,200 Speaker 2: that what you're saying? 27 00:01:33,000 --> 00:01:35,640 Speaker 1: She would love every town to be a sundowntown. And 28 00:01:35,760 --> 00:01:41,040 Speaker 1: he is sundown ing, which is what happens to people 29 00:01:41,200 --> 00:01:44,720 Speaker 1: suffering from dementia, where they get mean and incoherent. Towards 30 00:01:44,720 --> 00:01:47,360 Speaker 1: the end of the day, he had a Univision town 31 00:01:47,440 --> 00:01:52,280 Speaker 1: hall where just continued to ramble in coherently, whether it 32 00:01:52,400 --> 00:01:55,639 Speaker 1: be his answer to whether he still thinks climate change 33 00:01:56,200 --> 00:01:59,880 Speaker 1: is a hoax, and I'm just going to read it. 34 00:02:00,880 --> 00:02:03,320 Speaker 1: So I always feel that with the climate and I 35 00:02:03,320 --> 00:02:07,080 Speaker 1: have been a great I have been an environmentalist. I 36 00:02:07,120 --> 00:02:09,880 Speaker 1: built many things. I owned a raw right next door, 37 00:02:10,040 --> 00:02:14,080 Speaker 1: and we did that in a very environment. I got awards, 38 00:02:14,320 --> 00:02:17,400 Speaker 1: environmental awards for the way I built it, for the water, 39 00:02:17,600 --> 00:02:20,600 Speaker 1: the way I use the water, the sand, the mixing 40 00:02:20,639 --> 00:02:23,400 Speaker 1: of the sand and the water. What could he possibly 41 00:02:23,440 --> 00:02:29,280 Speaker 1: be talking about right there? Anyways? Four hundred more words exactly, 42 00:02:29,400 --> 00:02:33,000 Speaker 1: this coherent into the water coming up one eighth of 43 00:02:33,040 --> 00:02:35,200 Speaker 1: an inch over three hundred years, the ocean is going 44 00:02:35,240 --> 00:02:38,080 Speaker 1: to rise. And you know, nobody knows if that's true 45 00:02:38,160 --> 00:02:41,560 Speaker 1: or not, but they're worried about the ocean just killing it, 46 00:02:41,800 --> 00:02:43,959 Speaker 1: you know. So yes, very cord. Okay. 47 00:02:44,160 --> 00:02:46,200 Speaker 2: I think when he was talking about his use of water, 48 00:02:46,280 --> 00:02:49,080 Speaker 2: he's talking about how he does wash his legs, you know, 49 00:02:49,200 --> 00:02:51,640 Speaker 2: and he uses the sand to exfoliate. He's not like 50 00:02:51,680 --> 00:02:53,079 Speaker 2: the other white you know what I mean. 51 00:02:53,200 --> 00:02:57,200 Speaker 1: Have you seen him stand on a slightly sloped surface. 52 00:02:57,440 --> 00:03:00,200 Speaker 2: I feel like that even some out because usually he's alreadyl. 53 00:03:02,280 --> 00:03:06,680 Speaker 1: It's all person. There's no way he's washing his legs. 54 00:03:06,680 --> 00:03:09,679 Speaker 2: Did you ever do those math problems in geometry where 55 00:03:09,680 --> 00:03:12,280 Speaker 2: it's like a ladder is leaning against a wall. Yeah, 56 00:03:12,400 --> 00:03:15,320 Speaker 2: exactly like Trump standing and you have to find the 57 00:03:15,320 --> 00:03:16,680 Speaker 2: angle of his own incline. 58 00:03:17,040 --> 00:03:21,079 Speaker 1: Yes, he needs like a thing going from his forehead 59 00:03:21,160 --> 00:03:24,400 Speaker 1: to the ground to like make him, yeah, just like 60 00:03:24,440 --> 00:03:28,360 Speaker 1: a little bit more stable. He also, I think this 61 00:03:28,440 --> 00:03:30,120 Speaker 1: was the first time, so this was like a town 62 00:03:30,200 --> 00:03:32,680 Speaker 1: hall where people like there is one guy who's just like, 63 00:03:33,400 --> 00:03:37,760 Speaker 1: I don't think you're good. I a registered Republican and like, 64 00:03:37,840 --> 00:03:41,600 Speaker 1: I think you're you did bad at your job. Convinced 65 00:03:41,600 --> 00:03:43,480 Speaker 1: me otherwise. And it was it was just like he 66 00:03:43,600 --> 00:03:46,960 Speaker 1: just kind of read him for filth. People enjoyed that. Uh. 67 00:03:47,960 --> 00:03:51,480 Speaker 1: He also called January sixth the day of love and 68 00:03:51,640 --> 00:03:54,400 Speaker 1: just you know, he said went down. 69 00:03:54,440 --> 00:03:56,600 Speaker 2: I mean it was love for me, like I slept in. 70 00:03:57,080 --> 00:04:01,080 Speaker 2: You know, reframing it on Twitter with my friends is 71 00:04:01,200 --> 00:04:04,480 Speaker 2: reframing it is woodstock. He's like, went down to the capitol, 72 00:04:04,520 --> 00:04:08,120 Speaker 2: I said, peacefully and patriotically. Nothing done wrong at all, 73 00:04:08,240 --> 00:04:11,280 Speaker 2: nothing done wrong, and action was taken, strong action. 74 00:04:11,840 --> 00:04:14,600 Speaker 1: Ashley Babbitt was killed. Nobody was killed. 75 00:04:15,000 --> 00:04:15,200 Speaker 2: Uh. 76 00:04:15,240 --> 00:04:17,920 Speaker 1: It's great because at that moment where he goes Ashley 77 00:04:17,960 --> 00:04:20,960 Speaker 1: Babbitt was killed, nobody was killed, they're like panning the 78 00:04:21,000 --> 00:04:25,080 Speaker 1: audience and this woman gives this like wait, and then 79 00:04:25,080 --> 00:04:27,680 Speaker 1: he says, there was no guns down there. We didn't 80 00:04:27,720 --> 00:04:31,000 Speaker 1: have guns. The others had guns, but we didn't have guns. 81 00:04:31,240 --> 00:04:35,359 Speaker 1: And it's just wild that he's openly identifying with the 82 00:04:35,440 --> 00:04:38,800 Speaker 1: January sixth rioters, Like he's doing the wei thing that 83 00:04:38,839 --> 00:04:41,760 Speaker 1: like sports fans do. And I always say in theory, 84 00:04:41,800 --> 00:04:45,200 Speaker 1: it's annoying when people are like talking about their favorite 85 00:04:45,240 --> 00:04:47,839 Speaker 1: sports even say we but I fucking do that, Like 86 00:04:47,880 --> 00:04:50,000 Speaker 1: I can't help them. I can't stop myself. There's something 87 00:04:50,120 --> 00:04:53,920 Speaker 1: so and I think that's it's interesting because like, it's 88 00:04:54,120 --> 00:04:57,960 Speaker 1: just so tempting to loop yourself in because we're so 89 00:04:58,080 --> 00:05:01,640 Speaker 1: starved for being part of something bigger than ourselves. That 90 00:05:01,800 --> 00:05:02,800 Speaker 1: was like, yeah, we fear. 91 00:05:02,880 --> 00:05:04,960 Speaker 2: I think it's very human. I do it with anything 92 00:05:05,000 --> 00:05:08,800 Speaker 2: I'm a fan of. Like I'm like, we you know 93 00:05:09,040 --> 00:05:12,200 Speaker 2: are Finland, we have health care. You know, we wrote 94 00:05:12,320 --> 00:05:15,599 Speaker 2: a bestseller this week, We the Royal Week. 95 00:05:16,120 --> 00:05:18,640 Speaker 1: It's funny that hit. The thing he can't stop from 96 00:05:18,720 --> 00:05:22,039 Speaker 1: identifying himself with are the January sixth rioters. So that 97 00:05:22,240 --> 00:05:24,880 Speaker 1: was that. There was also a Trump town hall event 98 00:05:25,279 --> 00:05:31,000 Speaker 1: for an exclusively women audience on Tuesday. It ended up 99 00:05:31,000 --> 00:05:31,880 Speaker 1: airing Monday morning. 100 00:05:31,920 --> 00:05:33,880 Speaker 2: I'm worried for them, and. 101 00:05:33,839 --> 00:05:39,520 Speaker 1: He just like kicked off speaking about migrants and declared 102 00:05:39,600 --> 00:05:41,360 Speaker 1: himself the father of IVF. 103 00:05:41,839 --> 00:05:45,840 Speaker 2: Is there a creepier way to discuss that father? 104 00:05:46,200 --> 00:05:47,080 Speaker 1: What the fuck? 105 00:05:49,760 --> 00:05:53,600 Speaker 2: What are you invading sperm banks and replacing samples? You freak? 106 00:05:53,880 --> 00:05:56,200 Speaker 1: He's trying to end IVF by like making it so 107 00:05:56,440 --> 00:06:00,919 Speaker 1: gross that nobody even Yeah, it could be like he 108 00:06:01,000 --> 00:06:04,040 Speaker 1: made the association in my mind that it's Trump sperm. 109 00:06:04,320 --> 00:06:07,160 Speaker 1: So I don't love that. Also said he wants to 110 00:06:07,200 --> 00:06:10,640 Speaker 1: somehow ban all trans athletes from competing in all sports, 111 00:06:11,000 --> 00:06:14,560 Speaker 1: so just like they're not like even in backyard sports. 112 00:06:14,800 --> 00:06:17,880 Speaker 1: He also just went on some verbal diary of nonsense 113 00:06:17,880 --> 00:06:21,120 Speaker 1: about Elon Musk's rocket that they literally had to just 114 00:06:21,160 --> 00:06:23,880 Speaker 1: like cut him off. It was aimed at making him 115 00:06:23,920 --> 00:06:28,599 Speaker 1: look presidential and appealing to women, and it probably worked 116 00:06:28,600 --> 00:06:33,080 Speaker 1: for his audience because they just went wild for him 117 00:06:33,120 --> 00:06:37,000 Speaker 1: because it was like only people who were part of 118 00:06:37,200 --> 00:06:42,240 Speaker 1: like official Republican women groups were allowed to attend. So 119 00:06:42,279 --> 00:06:44,719 Speaker 1: the heavily vetted audience for Fox. 120 00:06:44,800 --> 00:06:48,280 Speaker 2: So I'm guessing his like trans fans weren't allowed to attend. 121 00:06:48,680 --> 00:06:52,520 Speaker 1: And that's what's fucked up. Let Trump's trans fans attend. 122 00:06:52,839 --> 00:06:56,800 Speaker 2: Yeah, being a MAGA supporter is technically a sport. You know, 123 00:06:59,080 --> 00:07:02,400 Speaker 2: it's very There's a huge offensive line that's gonna come. 124 00:07:02,279 --> 00:07:07,160 Speaker 1: Out, That's right, some of the best O lines in 125 00:07:07,240 --> 00:07:11,280 Speaker 1: terms of just lines that offend everybody coming out of 126 00:07:11,320 --> 00:07:13,880 Speaker 1: his mouth. But yeah, I don't know. I had like 127 00:07:13,920 --> 00:07:18,600 Speaker 1: a moment, as you know, on yesterday's trending, Miles was 128 00:07:19,000 --> 00:07:22,760 Speaker 1: playing some of his favorite little sound bites from the 129 00:07:22,800 --> 00:07:25,560 Speaker 1: past couple of days where he was like blurg, he 130 00:07:25,640 --> 00:07:27,520 Speaker 1: was trying to say big, but he was like in 131 00:07:27,600 --> 00:07:32,480 Speaker 1: your Burg World War two Blurg and just seemed to 132 00:07:32,560 --> 00:07:35,600 Speaker 1: be drifting on. It really did feel a lot like 133 00:07:36,120 --> 00:07:39,200 Speaker 1: the moment that we had with Joe Biden, where we're like, 134 00:07:39,240 --> 00:07:42,320 Speaker 1: this person is like his brain is dissolving. 135 00:07:42,840 --> 00:07:45,720 Speaker 2: Yeah, it feels like if they were regular people and 136 00:07:45,800 --> 00:07:48,160 Speaker 2: not just like the scum of the earth, like you 137 00:07:48,200 --> 00:07:50,760 Speaker 2: would feel bad for them being like forced to do this, 138 00:07:51,120 --> 00:07:54,680 Speaker 2: you know, but like he is a horrible person and 139 00:07:54,720 --> 00:07:57,280 Speaker 2: subjecting us to this, and like if he had a 140 00:07:57,320 --> 00:08:00,920 Speaker 2: loving family that he cared about, would be at home 141 00:08:01,000 --> 00:08:06,040 Speaker 2: with them instead right fucking parading around his bigotry in 142 00:08:06,120 --> 00:08:07,160 Speaker 2: town halls. 143 00:08:07,400 --> 00:08:11,040 Speaker 1: Yeah, it just it gave me a moment where I 144 00:08:11,080 --> 00:08:15,360 Speaker 1: was like daydreaming about like what happens if Trump loses, 145 00:08:15,480 --> 00:08:18,320 Speaker 1: Like not if Kamala wins, because you know, who the 146 00:08:18,320 --> 00:08:22,000 Speaker 1: fuck knows what's gonna happen if Kamala wins, but her 147 00:08:22,280 --> 00:08:26,400 Speaker 1: platform has not been the best in many respects, but 148 00:08:26,880 --> 00:08:30,960 Speaker 1: just in terms of like this movement of open fascism, 149 00:08:31,520 --> 00:08:34,880 Speaker 1: because it seems like this would be the end for him, right. 150 00:08:34,880 --> 00:08:38,080 Speaker 2: Like what we thought with Biden, Like with Biden winning, 151 00:08:38,559 --> 00:08:42,439 Speaker 2: like even if it's not him, I know that Florida, 152 00:08:42,480 --> 00:08:48,480 Speaker 2: what's his face? Tried Tota Santa's right, try to recreate 153 00:08:48,559 --> 00:08:50,439 Speaker 2: the charisma and just couldn't. 154 00:08:50,559 --> 00:08:53,800 Speaker 1: But if there is like a less likable ted Cruz, like, 155 00:08:53,840 --> 00:08:56,520 Speaker 1: that's the thing I was thinking about, is like in 156 00:08:56,600 --> 00:08:59,920 Speaker 1: terms of the full blown fascists at this point, like 157 00:09:00,120 --> 00:09:04,040 Speaker 1: DeSantis turns out to be a less likable ted Cruise 158 00:09:04,120 --> 00:09:08,400 Speaker 1: JD Vance one that VP debate according to like most 159 00:09:08,440 --> 00:09:11,959 Speaker 1: mainstream media outlets, and his likability has somehow like gone 160 00:09:12,120 --> 00:09:15,080 Speaker 1: way down since then, and he was already the least 161 00:09:15,160 --> 00:09:17,160 Speaker 1: likable hit. So like, I don't know. 162 00:09:17,360 --> 00:09:20,280 Speaker 2: I do think that there's not thus far that we 163 00:09:20,360 --> 00:09:24,480 Speaker 2: have seen an individual that can recreate the carusma or 164 00:09:24,480 --> 00:09:26,400 Speaker 2: whatever you want to call it that Trump has. But 165 00:09:26,440 --> 00:09:28,640 Speaker 2: I also think it would be naive of us to 166 00:09:28,720 --> 00:09:31,800 Speaker 2: think that it would like that won't appear somehow, you 167 00:09:31,800 --> 00:09:35,080 Speaker 2: know what I mean? Yeah, yeah, maybe the ideology is 168 00:09:35,080 --> 00:09:37,360 Speaker 2: still there, the hatred is still there. They just haven't 169 00:09:37,440 --> 00:09:39,360 Speaker 2: been able to capture it in a bottle like the 170 00:09:39,400 --> 00:09:40,240 Speaker 2: way that Trump did. 171 00:09:40,760 --> 00:09:45,240 Speaker 1: Yeah, yeah, I do think they would be I do 172 00:09:45,320 --> 00:09:48,200 Speaker 1: think they would be fucked at least for a little while, 173 00:09:48,760 --> 00:09:50,920 Speaker 1: because I think they would be still stuck on like 174 00:09:50,960 --> 00:09:55,360 Speaker 1: some dysantis. JD. Vance stuff and like Nikki Hayley might 175 00:09:55,640 --> 00:09:58,560 Speaker 1: end up having a moment. Oh yeah, but I get 176 00:09:58,559 --> 00:10:00,480 Speaker 1: I guess the thing is, like I hadn't really thought 177 00:10:00,520 --> 00:10:04,160 Speaker 1: about what a Republican party after Trump looks like since 178 00:10:05,040 --> 00:10:08,840 Speaker 1: the last couple years, when it just became increasingly clear 179 00:10:08,960 --> 00:10:12,320 Speaker 1: like he was going to either win or come within 180 00:10:12,360 --> 00:10:16,400 Speaker 1: an inch of just like, you know, taking the country 181 00:10:16,440 --> 00:10:21,319 Speaker 1: into like full blown fascism and just seeing his brain kind. 182 00:10:21,160 --> 00:10:23,960 Speaker 2: Of you can't go half fash. 183 00:10:25,200 --> 00:10:30,760 Speaker 1: Yeah, we've done many varieties of fashion. It turns out 184 00:10:30,800 --> 00:10:34,760 Speaker 1: that fascism comes in a number of wonderful colors. 185 00:10:34,800 --> 00:10:37,800 Speaker 2: But I just got a good mouth feel. 186 00:10:40,200 --> 00:10:42,480 Speaker 1: I can't emphasize enough how fucked we are if he wins, 187 00:10:42,480 --> 00:10:45,959 Speaker 1: But if he loses, I think they're pretty fucked. 188 00:10:45,760 --> 00:10:49,080 Speaker 2: Too, which is just mean the Republicans, Yeah. 189 00:10:48,880 --> 00:10:52,360 Speaker 1: The Republicans and like the Mega movement, because he really 190 00:10:52,400 --> 00:10:55,880 Speaker 1: seems out of his Like he's always seemed out of 191 00:10:55,880 --> 00:11:00,960 Speaker 1: his mind, but he seems like to be falling apart reading. Yeah, 192 00:11:00,960 --> 00:11:03,280 Speaker 1: I mean, there's also been those moments in the past 193 00:11:03,320 --> 00:11:06,360 Speaker 1: where he seemed like he was deteriorating and it was 194 00:11:06,440 --> 00:11:09,599 Speaker 1: just because he's been awake for three weeks in a 195 00:11:09,679 --> 00:11:13,000 Speaker 1: row on adderall and then he needs to like sleep again, 196 00:11:13,080 --> 00:11:15,960 Speaker 1: and then he gets the second one. So again, maybe 197 00:11:15,960 --> 00:11:19,520 Speaker 1: this is all just me being hopeful. 198 00:11:20,080 --> 00:11:23,400 Speaker 2: I also wonder, like who are the big playmakers that 199 00:11:23,440 --> 00:11:25,880 Speaker 2: are coming up, because Mitch McConnell's like hands are falling 200 00:11:25,880 --> 00:11:28,600 Speaker 2: off slowly and like lazy Graham, I don't know what's 201 00:11:28,600 --> 00:11:32,079 Speaker 2: happening with him, So like in terms of like party turnover, 202 00:11:32,520 --> 00:11:34,960 Speaker 2: I don't know who the clear leaders are for like 203 00:11:35,040 --> 00:11:38,680 Speaker 2: the next generation of like the GOP. Yeah, and who 204 00:11:38,679 --> 00:11:42,720 Speaker 2: would be as effectively insidious as like Mitch McConnell. 205 00:11:43,040 --> 00:11:45,440 Speaker 1: Yeah, But I feel like you can always replace Mitch 206 00:11:45,480 --> 00:11:50,120 Speaker 1: McConnell with a different like insidious, like you know, just 207 00:11:50,280 --> 00:11:53,200 Speaker 1: because like there was no charisma there to begin with. 208 00:11:53,320 --> 00:11:55,680 Speaker 2: He was no but he was working behind the scenes 209 00:11:55,720 --> 00:11:59,040 Speaker 2: in like a really effective way. Yeah, And like I 210 00:11:59,080 --> 00:12:01,680 Speaker 2: don't know like who would be able to do that, 211 00:12:01,800 --> 00:12:05,400 Speaker 2: because right now it seems like because Trump has been 212 00:12:05,480 --> 00:12:08,800 Speaker 2: so forward facing, it does feel like a lot of 213 00:12:08,840 --> 00:12:11,720 Speaker 2: people are attempting to usurp that position and be in 214 00:12:11,720 --> 00:12:15,840 Speaker 2: front of the camera and try to become celebrities rather 215 00:12:15,920 --> 00:12:20,480 Speaker 2: than like work underneath to kind of like obviously everybody 216 00:12:20,480 --> 00:12:24,000 Speaker 2: knows Mitch McConnell, but he's not out there as much 217 00:12:24,000 --> 00:12:26,560 Speaker 2: as like Ted Cruz is just saying wild shit then 218 00:12:26,600 --> 00:12:28,120 Speaker 2: bling his name after. You know. 219 00:12:29,200 --> 00:12:32,360 Speaker 1: Yeah, all right, let's take a quick break. We'll come back, 220 00:12:32,679 --> 00:12:36,400 Speaker 1: check in with the Kamala campaign and Peanut Butter. We'll 221 00:12:36,440 --> 00:12:50,320 Speaker 1: be right back and we're back. So Kamala Harris went 222 00:12:50,520 --> 00:12:57,080 Speaker 1: on Fox News. It was not a why. I mean, 223 00:12:57,200 --> 00:13:01,240 Speaker 1: I think if her point was to, you know, convey 224 00:13:01,559 --> 00:13:06,480 Speaker 1: I can remain composed while being completely sandbagged and attacked 225 00:13:07,480 --> 00:13:11,920 Speaker 1: in a hugely stacked interview, I think she succeeded at that. 226 00:13:12,200 --> 00:13:16,199 Speaker 2: Maybe she was recruiting someone for her cabinet position exactly. 227 00:13:16,559 --> 00:13:21,000 Speaker 1: I like their spunk continuing to double down. I don't 228 00:13:21,040 --> 00:13:24,280 Speaker 1: disagree with the Fox News decision. I think, like, I 229 00:13:24,280 --> 00:13:28,920 Speaker 1: don't know, it seems it played well with me trying 230 00:13:28,960 --> 00:13:32,040 Speaker 1: to think like a Republican, but I've never been able 231 00:13:32,080 --> 00:13:33,960 Speaker 1: to do that at all, So who the fuck knows. 232 00:13:34,320 --> 00:13:36,560 Speaker 2: I don't know what's useful on this media for, but 233 00:13:36,600 --> 00:13:37,520 Speaker 2: I'm just like mad at her. 234 00:13:37,800 --> 00:13:40,679 Speaker 1: Yeah me too, I am ad at her too. There's 235 00:13:41,480 --> 00:13:44,880 Speaker 1: that there was a Kamala HQ tweet where they showed 236 00:13:45,040 --> 00:13:48,400 Speaker 1: like Trump campaign has spent millions on anti trans ads 237 00:13:48,440 --> 00:13:50,760 Speaker 1: next to a New York Times headline under Trump, US 238 00:13:50,880 --> 00:13:53,840 Speaker 1: prisons offered gender affirm and care, and we're like, oh, 239 00:13:54,640 --> 00:13:58,160 Speaker 1: like trying to point out that they transphobia. A yeah, 240 00:13:58,400 --> 00:14:03,640 Speaker 1: like doing fucking transfer. Oh, it's just very frustrating. I 241 00:14:03,720 --> 00:14:06,440 Speaker 1: also read an article where there's like this super pack 242 00:14:06,640 --> 00:14:11,439 Speaker 1: that is working for them, is basically using social media 243 00:14:11,800 --> 00:14:17,800 Speaker 1: to focus group like a thousand different possible messages and 244 00:14:17,840 --> 00:14:21,200 Speaker 1: then the ones that actually resonate with people. They then 245 00:14:21,640 --> 00:14:25,320 Speaker 1: put those messages into tv ads and then do like 246 00:14:25,360 --> 00:14:28,120 Speaker 1: twenty different tv ads and then focus group those until 247 00:14:28,160 --> 00:14:29,400 Speaker 1: they find the tv ads. 248 00:14:29,480 --> 00:14:32,720 Speaker 2: Dang, hot girl. 249 00:14:34,280 --> 00:14:40,600 Speaker 1: Exactly just random word generatoring. This is totally different. 250 00:14:40,640 --> 00:14:42,400 Speaker 2: But I just saw a clip of the guy who 251 00:14:42,440 --> 00:14:46,680 Speaker 2: wrote SOS by Rihanna and how like the second verse 252 00:14:46,720 --> 00:14:49,040 Speaker 2: or the first verse or something was entirely number one 253 00:14:49,080 --> 00:14:52,440 Speaker 2: pop hits from the eighties and he went through song titles. Yah, yeah, 254 00:14:52,560 --> 00:14:55,920 Speaker 2: song titles. Is that what the Kamala team is doing, 255 00:14:57,360 --> 00:14:59,560 Speaker 2: just stringing together whatever's trending. 256 00:15:00,000 --> 00:15:04,440 Speaker 1: But again, so Clintonian, like the whole way. We've already 257 00:15:04,440 --> 00:15:09,160 Speaker 1: talked about how her positioning and her decision to like 258 00:15:09,320 --> 00:15:12,280 Speaker 1: just keep moving further to the right to try and 259 00:15:12,320 --> 00:15:14,960 Speaker 1: capture a bigger and bigger part of the tent is 260 00:15:15,040 --> 00:15:20,440 Speaker 1: like very like it's the triangulation that Clinton Bill Clinton 261 00:15:20,920 --> 00:15:25,320 Speaker 1: made famous did not work out so well more recently. 262 00:15:25,320 --> 00:15:27,360 Speaker 2: And that didn't back for ir at all with the 263 00:15:27,440 --> 00:15:28,600 Speaker 2: crime bill or anything. 264 00:15:28,960 --> 00:15:31,600 Speaker 1: Yeah, and also people are now smarter and are like 265 00:15:31,640 --> 00:15:35,600 Speaker 1: that fucking a terrible presidency in any ways. But also 266 00:15:36,000 --> 00:15:40,080 Speaker 1: just weather ballooning and responding to popular opinion is just 267 00:15:40,160 --> 00:15:46,040 Speaker 1: such a just like letting popular opinion control your campaign. 268 00:15:46,920 --> 00:15:49,920 Speaker 1: I understand the logic, and that seems to be any 269 00:15:50,040 --> 00:15:52,640 Speaker 1: anyone who like objects to this is just like, yeah, well, 270 00:15:52,680 --> 00:15:54,400 Speaker 1: what's she going to do try and win you over? 271 00:15:54,520 --> 00:15:56,720 Speaker 1: You're already going to vote for her, And it's like yeah, 272 00:15:56,720 --> 00:15:59,360 Speaker 1: but it also just like makes it look like they 273 00:15:59,400 --> 00:16:04,000 Speaker 1: don't have any beliefs, which is bad if you're running 274 00:16:04,040 --> 00:16:05,000 Speaker 1: to be a leader. 275 00:16:05,440 --> 00:16:07,880 Speaker 2: It's also exactly what Trump's doing. He like reads the 276 00:16:07,960 --> 00:16:11,360 Speaker 2: room and responds in that way like he literally will 277 00:16:11,400 --> 00:16:14,040 Speaker 2: say things will gauge whether it gets like a laugh 278 00:16:14,200 --> 00:16:17,080 Speaker 2: or a reaction, and then continues down that road. That's 279 00:16:17,200 --> 00:16:20,880 Speaker 2: like every every behavior of his has been rewarded in 280 00:16:20,920 --> 00:16:24,000 Speaker 2: some way, which is why he is the way he is. Yeah, 281 00:16:24,040 --> 00:16:26,400 Speaker 2: So like, how are you different from the Republicans then? 282 00:16:26,880 --> 00:16:30,000 Speaker 1: Right? But yeah, I don't know. Just generally following this election, 283 00:16:30,240 --> 00:16:32,840 Speaker 1: I feel like I'm watching a weather report for like 284 00:16:33,520 --> 00:16:37,600 Speaker 1: one day in three weeks and just hoping it doesn't 285 00:16:37,680 --> 00:16:40,320 Speaker 1: rain in Seattle or you know, it's just like I 286 00:16:40,360 --> 00:16:43,040 Speaker 1: don't fucking know, like it and nobody knows. Like the 287 00:16:43,080 --> 00:16:46,440 Speaker 1: New York Times had this headline, how accurate or off 288 00:16:46,480 --> 00:16:49,240 Speaker 1: target could the polls be this year? Maybe not? 289 00:16:49,480 --> 00:16:50,040 Speaker 2: Who knows? 290 00:16:50,640 --> 00:16:54,200 Speaker 1: The answer is literally very off target and we don't 291 00:16:54,240 --> 00:16:56,440 Speaker 1: know in which direction more at eleven. 292 00:16:57,560 --> 00:16:59,840 Speaker 2: You know, that's like when there's like a breaking news story, 293 00:17:00,040 --> 00:17:02,520 Speaker 2: the reporter just has to keep talking to fill time. 294 00:17:02,880 --> 00:17:07,080 Speaker 1: Yeah, exactly. The polls. I mean, I think everyone else 295 00:17:07,480 --> 00:17:11,120 Speaker 1: who is worried about this election is has the same thought. 296 00:17:11,160 --> 00:17:14,600 Speaker 1: Like the polls really seem to underestimate Trump every fucking time. 297 00:17:14,640 --> 00:17:17,600 Speaker 1: They did a big one in twenty sixteen, and we 298 00:17:17,600 --> 00:17:20,200 Speaker 1: were all surprised the day after the election if you 299 00:17:20,280 --> 00:17:23,280 Speaker 1: were paying attention to the polls twenty twenty, in many 300 00:17:23,320 --> 00:17:26,680 Speaker 1: ways they were more off. They had Wisconsin off by 301 00:17:26,800 --> 00:17:29,639 Speaker 1: ten points, like they were like that's Biden's going to 302 00:17:29,720 --> 00:17:31,920 Speaker 1: run away with us. He barely want it. But because 303 00:17:31,920 --> 00:17:34,120 Speaker 1: Biden won, like, we don't remember it as being as 304 00:17:34,200 --> 00:17:34,760 Speaker 1: far off. 305 00:17:35,040 --> 00:17:38,720 Speaker 2: Do you think the polls were so off because they 306 00:17:38,760 --> 00:17:41,920 Speaker 2: were manned by teen volunteers? 307 00:17:43,119 --> 00:17:44,960 Speaker 1: Right? Well, I think we will talk about that on 308 00:17:45,040 --> 00:17:49,119 Speaker 1: tomorrow's episode. Yeah, the poll those are the actual polls 309 00:17:49,119 --> 00:17:52,679 Speaker 1: that will be manned by team volunteers. But yeah, I 310 00:17:52,680 --> 00:17:56,720 Speaker 1: mean polling is a mess. Like I've seen people who 311 00:17:56,720 --> 00:17:59,920 Speaker 1: are saying that the polls now, like after twenty twenty, 312 00:18:00,240 --> 00:18:02,960 Speaker 1: they were like, okay, guys, we need to change everything, 313 00:18:03,040 --> 00:18:05,439 Speaker 1: and they started shifting things like so far towards the 314 00:18:05,480 --> 00:18:09,760 Speaker 1: Republicans that they were then predicting a red wave for 315 00:18:09,840 --> 00:18:12,400 Speaker 1: the midterms, and like that's why they were off at 316 00:18:12,480 --> 00:18:14,840 Speaker 1: that time, and they think they might be off again 317 00:18:14,920 --> 00:18:15,440 Speaker 1: this time. 318 00:18:15,720 --> 00:18:18,000 Speaker 2: I mean Biden cocky, Like he literally was like they 319 00:18:18,040 --> 00:18:21,080 Speaker 2: said there was gonna be a red wave. Yeah, there was, 320 00:18:21,440 --> 00:18:23,640 Speaker 2: like every time he's asked about and then he fell. 321 00:18:23,480 --> 00:18:26,639 Speaker 1: Asleep in the middle of the sentence. So nobody seems 322 00:18:26,680 --> 00:18:31,760 Speaker 1: to really know. I feel very uncomfortable with any like 323 00:18:32,240 --> 00:18:36,360 Speaker 1: tiny narrow polling lead over Trump, who has always historically 324 00:18:36,400 --> 00:18:41,440 Speaker 1: outperformed as polls, Like, really, the only possibility of Harris 325 00:18:41,480 --> 00:18:45,040 Speaker 1: winning at this point seems to be assuming that they've 326 00:18:45,080 --> 00:18:50,600 Speaker 1: built in a massive pulling error, like pushing towards Republicans, 327 00:18:50,960 --> 00:18:56,760 Speaker 1: because otherwise it will just be Trump overperforming again and winning. 328 00:18:57,040 --> 00:19:02,480 Speaker 1: Because this is worse than the polls were for the 329 00:19:02,520 --> 00:19:06,439 Speaker 1: Democrats heading into any of his previous elections. So we'll see, 330 00:19:06,520 --> 00:19:06,720 Speaker 1: you know. 331 00:19:07,080 --> 00:19:10,440 Speaker 2: But the one thing, given everything that's happened, that he's 332 00:19:10,480 --> 00:19:14,000 Speaker 2: doing the best he's ever done. Yeah, like after being indeted, 333 00:19:14,119 --> 00:19:17,359 Speaker 2: after talking the way he talks, like, it's just insane. 334 00:19:18,040 --> 00:19:19,600 Speaker 2: I'm not surprised, but it's insane. 335 00:19:20,040 --> 00:19:22,639 Speaker 1: Not good polay would be how I would describe it. 336 00:19:23,440 --> 00:19:26,639 Speaker 1: But I think what's important is that one thing Americans 337 00:19:26,680 --> 00:19:29,640 Speaker 1: have gotten right is their peanut butter. And that's called 338 00:19:29,680 --> 00:19:31,919 Speaker 1: a transition. And that is what we do here in 339 00:19:31,960 --> 00:19:33,840 Speaker 1: this podcast. We transition. 340 00:19:34,000 --> 00:19:36,600 Speaker 2: We transition, and we're pro tramp. 341 00:19:36,400 --> 00:19:40,840 Speaker 1: And we are pro transitioning. So peanut butter turns out 342 00:19:40,880 --> 00:19:43,960 Speaker 1: to be one of those things that we have I 343 00:19:43,960 --> 00:19:48,800 Speaker 1: guess mostly right, or like consumers are getting right. So 344 00:19:49,080 --> 00:19:52,280 Speaker 1: there's a review in the food blog the Takeout, which 345 00:19:52,320 --> 00:19:54,920 Speaker 1: is we used to talk about the take out a lot. 346 00:19:54,920 --> 00:19:58,920 Speaker 1: But it's basically like food snobs reviewing fast food and 347 00:19:59,200 --> 00:20:02,000 Speaker 1: you know, grocery store items and stuff like that. And 348 00:20:02,720 --> 00:20:06,920 Speaker 1: they did a ranking of widely available store bought peanut butter, 349 00:20:07,400 --> 00:20:10,840 Speaker 1: and the two best are Jiff and Skippy according to 350 00:20:10,880 --> 00:20:14,280 Speaker 1: their like mind taste testing, which are the two best selling. 351 00:20:14,359 --> 00:20:17,600 Speaker 1: Skippies number two in sales and number one according to 352 00:20:17,640 --> 00:20:20,640 Speaker 1: their taste tests. Jiff number one in sales, number two 353 00:20:20,680 --> 00:20:24,040 Speaker 1: in taste. But the fact that we got the top two, right, 354 00:20:24,800 --> 00:20:26,440 Speaker 1: I was like, that's it? Is it? 355 00:20:26,440 --> 00:20:28,960 Speaker 2: Because they're filled completely with like sugar, and. 356 00:20:29,160 --> 00:20:31,680 Speaker 1: It is they're bad for it. These are all these 357 00:20:31,680 --> 00:20:34,560 Speaker 1: are all bad for us. This is this is a 358 00:20:34,600 --> 00:20:37,239 Speaker 1: food review site. I should say that, like, you know, 359 00:20:37,600 --> 00:20:42,200 Speaker 1: seriously considers the mouthfeel of like Taco Bell products. 360 00:20:41,640 --> 00:20:43,240 Speaker 2: And okay, that is legitimate. 361 00:20:43,720 --> 00:20:47,200 Speaker 1: Yeah, so there's there's nothing wrong with that. If you're 362 00:20:47,240 --> 00:20:50,119 Speaker 1: going to kill yourself with food, might as well be 363 00:20:50,240 --> 00:20:53,119 Speaker 1: thoughtful about it as you're going down. But I don't know, 364 00:20:53,160 --> 00:20:59,080 Speaker 1: it just it's an interesting category of things, whether they 365 00:20:59,160 --> 00:21:01,919 Speaker 1: be just like food, they are products that are I 366 00:21:01,920 --> 00:21:05,720 Speaker 1: guess you would call them like accurately raided, Like we 367 00:21:06,200 --> 00:21:10,160 Speaker 1: kind of have it right, Like I was thinking of purchases. Yeah, 368 00:21:10,200 --> 00:21:14,280 Speaker 1: the consumer purchases like Hines and Hunts, like Hines being 369 00:21:14,359 --> 00:21:17,359 Speaker 1: number one and Hunts being a distant second kind of 370 00:21:17,440 --> 00:21:21,840 Speaker 1: matches up with my experience of those products and other ketchups, 371 00:21:22,000 --> 00:21:24,720 Speaker 1: Like I've never had a ketchup that's as good as Hines. 372 00:21:25,040 --> 00:21:27,159 Speaker 1: I don't know why this this now sounds like a 373 00:21:27,240 --> 00:21:29,399 Speaker 1: hinds ad sponsor. 374 00:21:30,520 --> 00:21:31,160 Speaker 2: Of ketchup. 375 00:21:31,320 --> 00:21:35,240 Speaker 1: Please Candy. I feel like despite all those like maps 376 00:21:35,240 --> 00:21:40,760 Speaker 1: where they're like California's favorite candy is actually Nilla wafers. 377 00:21:41,080 --> 00:21:44,320 Speaker 1: You know, when you look at overall sales, Reese's peanut 378 00:21:44,359 --> 00:21:48,320 Speaker 1: butter cups are still the number one selling thing, and 379 00:21:48,720 --> 00:21:52,760 Speaker 1: I think I would have to rank them near the 380 00:21:52,760 --> 00:21:53,760 Speaker 1: top for myself. 381 00:21:54,000 --> 00:21:56,520 Speaker 2: They are delicious, But I will say like, as I've 382 00:21:56,560 --> 00:21:59,199 Speaker 2: gotten older, I don't know what happened. I used to 383 00:21:59,240 --> 00:22:01,800 Speaker 2: eat like literally and I still do sometimes, like candy, 384 00:22:01,840 --> 00:22:05,000 Speaker 2: ice cream, terrible things for breakfast, like, but for some reason, 385 00:22:05,080 --> 00:22:07,560 Speaker 2: my palate has gotten hoity toity, And I'm like, there's 386 00:22:07,560 --> 00:22:10,199 Speaker 2: a weird aftertaste to Hershey's chocolate and I'm having a 387 00:22:10,200 --> 00:22:14,040 Speaker 2: hard time. Yeah, I'm like there's something like I'm feeling 388 00:22:14,080 --> 00:22:15,480 Speaker 2: something in it. I'm like, I don't like it. 389 00:22:15,600 --> 00:22:20,160 Speaker 1: There's like a spiciness that I feel like, not even spiciness, 390 00:22:20,200 --> 00:22:23,199 Speaker 1: but like a kind of it's like it hurts the 391 00:22:23,240 --> 00:22:25,720 Speaker 1: back of your throat a little bit because it has 392 00:22:25,800 --> 00:22:28,040 Speaker 1: so much sugar in it has always been how I've 393 00:22:28,080 --> 00:22:31,800 Speaker 1: interpreted that. I was curious if like Cola's could kind 394 00:22:31,800 --> 00:22:34,359 Speaker 1: of fit into this, because I do feel like coke 395 00:22:34,680 --> 00:22:38,280 Speaker 1: despite the fact that there are like other types of 396 00:22:38,560 --> 00:22:42,119 Speaker 1: sodas I've enjoyed, it's never like the cola kind Like 397 00:22:42,119 --> 00:22:44,080 Speaker 1: I've never had a cola that I was like, that's 398 00:22:44,119 --> 00:22:45,720 Speaker 1: better than coke, you know. 399 00:22:45,840 --> 00:22:48,040 Speaker 2: But also that depends on where you are because they 400 00:22:48,080 --> 00:22:50,520 Speaker 2: have that like Coca Cola tasting thing with cokes from 401 00:22:50,560 --> 00:22:53,000 Speaker 2: all different countries, and there are some that are horrific 402 00:22:53,359 --> 00:22:56,439 Speaker 2: really and there's oh yeah there was like I did 403 00:22:56,480 --> 00:22:57,600 Speaker 2: it when I was a kid, so I don't know 404 00:22:57,640 --> 00:23:00,560 Speaker 2: if it's changed, but like there was some that was 405 00:23:00,600 --> 00:23:03,520 Speaker 2: I was like, y awful. Yeah, So like for like 406 00:23:03,560 --> 00:23:05,840 Speaker 2: the eminem thing and the coke music and like I 407 00:23:05,840 --> 00:23:08,400 Speaker 2: think it was in Vegas or whatever. Yeah, you could 408 00:23:08,440 --> 00:23:10,199 Speaker 2: go like taste tests all the different cokes and they 409 00:23:10,200 --> 00:23:13,800 Speaker 2: had like a fountain and it was fun, but yeah, 410 00:23:13,920 --> 00:23:16,720 Speaker 2: there are some cokes that are really bad. So, like, 411 00:23:17,520 --> 00:23:19,960 Speaker 2: I don't know if it's but I've always been a 412 00:23:19,960 --> 00:23:21,919 Speaker 2: fan and this might just be the Indian in me. 413 00:23:22,920 --> 00:23:26,760 Speaker 2: I think there was some situation where with Pakistan in 414 00:23:26,760 --> 00:23:30,280 Speaker 2: India when when stuff was going down there, hope wasn't 415 00:23:30,800 --> 00:23:33,679 Speaker 2: like allowed in India or something like that at some point, 416 00:23:34,359 --> 00:23:35,639 Speaker 2: I don't know, but then it came up with their 417 00:23:35,640 --> 00:23:38,399 Speaker 2: own coke called thumbs Up, and like I actually prefer 418 00:23:38,480 --> 00:23:39,240 Speaker 2: that to coke. 419 00:23:39,560 --> 00:23:40,520 Speaker 1: Oh really OK? 420 00:23:40,680 --> 00:23:43,560 Speaker 2: Yeah, but it might just beyle a different India. 421 00:23:43,640 --> 00:23:46,080 Speaker 1: Yeah, I don't know. It was like cultural conditioning. Like 422 00:23:46,119 --> 00:23:49,320 Speaker 1: I only think peanut butter like Jiff and Skippy peanut 423 00:23:49,359 --> 00:23:52,840 Speaker 1: butter or Jiff and was it. Yeah, Jiff and Skippy 424 00:23:52,880 --> 00:23:55,240 Speaker 1: peanut butter are good because that is the peanut butter 425 00:23:55,320 --> 00:23:57,760 Speaker 1: I was raised on. And like everybody else is like 426 00:23:57,840 --> 00:23:59,720 Speaker 1: this tastes like rat shit. 427 00:24:00,960 --> 00:24:02,760 Speaker 2: Do you know what though? Is that we used to 428 00:24:02,920 --> 00:24:06,840 Speaker 2: take food to certain foods to our our family in India, 429 00:24:07,240 --> 00:24:09,760 Speaker 2: and the foods that they or the fun things that 430 00:24:09,800 --> 00:24:13,080 Speaker 2: they couldn't get, we always take them Girl Scout cookies, 431 00:24:13,080 --> 00:24:15,119 Speaker 2: like my mom always buys up a ton and then 432 00:24:15,160 --> 00:24:16,959 Speaker 2: we take them to India and then they freeze them 433 00:24:17,000 --> 00:24:19,199 Speaker 2: and like eat them slowly over the year so that 434 00:24:19,240 --> 00:24:20,600 Speaker 2: they can like ration them out. 435 00:24:20,680 --> 00:24:22,440 Speaker 1: Cookies are a great product. 436 00:24:22,720 --> 00:24:25,120 Speaker 2: And then also Big Read, although Big Read did change 437 00:24:25,119 --> 00:24:26,960 Speaker 2: the recipe at some point and it's not the same 438 00:24:27,000 --> 00:24:28,440 Speaker 2: as it was when I was a kid. And then 439 00:24:28,520 --> 00:24:30,720 Speaker 2: also peanut butter. We used to take peanut butter because 440 00:24:30,720 --> 00:24:33,600 Speaker 2: they didn't have good smooth peanut butter, and we would 441 00:24:33,600 --> 00:24:37,000 Speaker 2: take jiff. Yeah, yeah, there it is, So that is 442 00:24:37,040 --> 00:24:38,560 Speaker 2: transcending countries. 443 00:24:39,320 --> 00:24:43,560 Speaker 1: Paula Ganalon, truly a pleasure having you here with ya. 444 00:24:44,200 --> 00:24:45,959 Speaker 1: Where can people find you and follow you? 445 00:24:46,040 --> 00:24:48,280 Speaker 2: Hello the Ganalan p A l l A v I 446 00:24:48,400 --> 00:24:52,040 Speaker 2: g U n A l A and everywhere. I run 447 00:24:52,080 --> 00:24:54,240 Speaker 2: a show at the comedy store called Facial Recognition Comedy 448 00:24:54,240 --> 00:24:55,359 Speaker 2: and I'm doing stand up everywhere. 449 00:24:55,480 --> 00:25:00,800 Speaker 1: Follow me, follow me? Uh great, Well again, wonderful having you. 450 00:25:01,040 --> 00:25:03,200 Speaker 1: That's gonna do it for us this afternoon. We are 451 00:25:03,240 --> 00:25:05,960 Speaker 1: back tomorrow with a whole ass episode of the show. 452 00:25:06,200 --> 00:25:09,600 Speaker 1: Until then, be kind to each other, be kind to yourselves, 453 00:25:09,760 --> 00:25:12,320 Speaker 1: get the vaccine and get your flu shot. Don't do 454 00:25:12,400 --> 00:25:16,040 Speaker 1: nothing about white supremacy, and we will talk to y'all 455 00:25:16,119 --> 00:25:22,800 Speaker 1: tomorrow bye bye