1 00:00:07,400 --> 00:00:10,360 Speaker 1: Hello, and welcome to Hysteria. I'm Alyssa Mastromonico. 2 00:00:10,920 --> 00:00:13,400 Speaker 2: Oh and I'm Katie Curic Hi Alissa. 3 00:00:13,720 --> 00:00:15,200 Speaker 3: Yes she is, that's right. 4 00:00:15,360 --> 00:00:18,959 Speaker 1: Katie Award winning journalist, one of my favorite journalists. She 5 00:00:19,079 --> 00:00:22,320 Speaker 1: hosts her own podcast, Next Question, and is one of 6 00:00:22,320 --> 00:00:25,040 Speaker 1: the greatest media makers of all time. 7 00:00:25,320 --> 00:00:27,320 Speaker 3: Is our co host for the next couple of weeks. 8 00:00:27,840 --> 00:00:31,800 Speaker 1: Katie, it's summer tomato season. I happen to know you 9 00:00:31,920 --> 00:00:34,400 Speaker 1: love a good tomato and mayo sandwich. 10 00:00:34,640 --> 00:00:36,720 Speaker 3: How do you make yours? How do you make yours? 11 00:00:36,800 --> 00:00:39,600 Speaker 2: Well, Alyssa, I have to say I had my first 12 00:00:39,640 --> 00:00:43,120 Speaker 2: of the summer with an heirloom tomato that I grew 13 00:00:43,159 --> 00:00:48,519 Speaker 2: in my backyard. Yesterday, I had some frozen bread that 14 00:00:48,600 --> 00:00:52,560 Speaker 2: I got from Carissa's, which is a bakery near my 15 00:00:52,720 --> 00:00:55,800 Speaker 2: house in East Hampton, and I slice it and I 16 00:00:55,960 --> 00:00:58,960 Speaker 2: freeze it because you know, usually it goes bad and 17 00:00:59,000 --> 00:01:04,640 Speaker 2: it's delicious called honey wheat. Uncharacteristically, yesterday I toasted my 18 00:01:04,720 --> 00:01:07,000 Speaker 2: bread because, let's face it, I had no choice it 19 00:01:07,040 --> 00:01:10,959 Speaker 2: was frozen, right, and then used Sorry Duke's fans, I 20 00:01:11,040 --> 00:01:16,240 Speaker 2: used my helmets mayonnaise, my sliced heirloom tomato, mald and salt, 21 00:01:16,800 --> 00:01:20,200 Speaker 2: some cracked pepper and that was it, baby, and it 22 00:01:20,319 --> 00:01:23,520 Speaker 2: was surfect. And I realized, Melyssa, if I actually eat 23 00:01:23,520 --> 00:01:27,120 Speaker 2: a sandwich, I'm not hungry till dinner. Why didn't I 24 00:01:27,240 --> 00:01:31,039 Speaker 2: realize that earlier. It's like women are so screwed up, 25 00:01:31,120 --> 00:01:32,840 Speaker 2: you know. We eat like, oh, I'll have a half 26 00:01:32,840 --> 00:01:35,560 Speaker 2: a cup of cottage cheese with a peach, and then 27 00:01:35,880 --> 00:01:38,920 Speaker 2: by four o'clock you're ravenous and eating everything that's not 28 00:01:39,040 --> 00:01:42,200 Speaker 2: nailed down. So my advice to all your listeners is 29 00:01:42,280 --> 00:01:44,760 Speaker 2: eat people. You'll be better off for it. 30 00:01:44,880 --> 00:01:45,840 Speaker 3: You will be better off her. 31 00:01:45,920 --> 00:01:48,560 Speaker 1: But also so funny, Katie, because in this episode I 32 00:01:48,680 --> 00:01:51,360 Speaker 1: interview Evan Kleinman, who last night for dinner had cottage 33 00:01:51,400 --> 00:01:52,240 Speaker 1: cheese and a peach. 34 00:01:53,680 --> 00:01:56,000 Speaker 2: That's so funny. Well, hopefully it was a fresh peach. 35 00:01:56,040 --> 00:01:58,480 Speaker 2: But I've been so delicious this season. 36 00:01:58,920 --> 00:02:01,960 Speaker 1: Evan's living her best and just trying to enjoy peaches 37 00:02:01,960 --> 00:02:02,920 Speaker 1: in the purest form. 38 00:02:03,120 --> 00:02:05,560 Speaker 2: Okay, well I'm with her on that. Sometimes I'll just 39 00:02:05,600 --> 00:02:08,799 Speaker 2: slice a peach and put like milk on it and 40 00:02:08,919 --> 00:02:11,919 Speaker 2: in a bowl and just sit in my backyard and 41 00:02:12,720 --> 00:02:16,000 Speaker 2: I feel like Jay Alfred proofrat do I dare to 42 00:02:16,000 --> 00:02:16,639 Speaker 2: eat a peach? 43 00:02:17,320 --> 00:02:17,680 Speaker 3: And you do? 44 00:02:17,800 --> 00:02:18,960 Speaker 2: Dare to eat the peach I do. 45 00:02:19,320 --> 00:02:21,480 Speaker 1: This week, Katie and I get into all things Kamala 46 00:02:21,480 --> 00:02:24,760 Speaker 1: Harris and the misogynistic ire Republicans are hurling her way, 47 00:02:24,800 --> 00:02:27,640 Speaker 1: and how Republicans are insidiously changing their platform. 48 00:02:27,919 --> 00:02:30,639 Speaker 3: All right, let's get into it. 49 00:02:31,400 --> 00:02:35,160 Speaker 1: Hysteria the podcast for people aggressively binge watching VEEP for 50 00:02:35,240 --> 00:02:36,680 Speaker 1: guidance on what to do next. 51 00:02:37,080 --> 00:02:39,919 Speaker 3: So much shit has happened since we last recorded the show. 52 00:02:40,080 --> 00:02:43,600 Speaker 2: You're not kidding, my god, I mean, it's insane, right. 53 00:02:43,760 --> 00:02:46,840 Speaker 1: Biden's dropped out of the race, He's endorsed Vice President 54 00:02:46,960 --> 00:02:49,200 Speaker 1: Kamala Harris to be the Democratic nominee. 55 00:02:49,760 --> 00:02:53,840 Speaker 3: Cogan ripped off his shirt at the RNC so much. 56 00:02:54,040 --> 00:02:57,919 Speaker 2: And did you include the assassination attempt against Donald Trump 57 00:02:58,000 --> 00:02:59,919 Speaker 2: or did you have a recording after that? 58 00:03:00,120 --> 00:03:03,240 Speaker 1: We had a recording after that, so we covered the 59 00:03:03,280 --> 00:03:05,680 Speaker 1: Maxi pad on his ear and all of that stuff. 60 00:03:06,000 --> 00:03:08,560 Speaker 1: That's you know, you know how it is, Katie. He 61 00:03:09,160 --> 00:03:11,200 Speaker 1: put it out there and the supporters put it on 62 00:03:11,240 --> 00:03:12,880 Speaker 1: their ears, so it was fair game. 63 00:03:13,240 --> 00:03:18,040 Speaker 2: I saw there were many many white square bandages. One 64 00:03:18,040 --> 00:03:20,520 Speaker 2: of the funniest things I saw is there was a 65 00:03:20,600 --> 00:03:23,960 Speaker 2: my pillow logo. I saw it on some of them. 66 00:03:24,240 --> 00:03:27,280 Speaker 2: You have to admit, Alyssa, people are so funny and clever. 67 00:03:27,520 --> 00:03:31,280 Speaker 2: I think for all the woes of the Internet and 68 00:03:31,560 --> 00:03:37,080 Speaker 2: the vitriol and depravity, it's unleashed. People are really funny 69 00:03:37,160 --> 00:03:39,520 Speaker 2: and clever and I am talented. 70 00:03:39,840 --> 00:03:42,600 Speaker 3: They're funny, they're clever, they're talented. They give us so 71 00:03:42,680 --> 00:03:43,560 Speaker 3: much to talk about. 72 00:03:43,600 --> 00:03:46,920 Speaker 1: And Katie's speaking of the last time you were on Hysteria. 73 00:03:47,440 --> 00:03:51,160 Speaker 1: Your interview with Vice President Kamala Harris had dropped that day, 74 00:03:51,600 --> 00:03:54,600 Speaker 1: So this is like true full circle moment for us. 75 00:03:54,760 --> 00:03:57,680 Speaker 2: It definitely is. And I went back and we've actually 76 00:03:57,720 --> 00:04:01,920 Speaker 2: posted some excerpts from that interview. I went down in 77 00:04:02,040 --> 00:04:06,800 Speaker 2: January and it was snowing, and yeah, we had a 78 00:04:06,840 --> 00:04:10,040 Speaker 2: thirty minute conversation. I spent some time with her. You know, 79 00:04:10,160 --> 00:04:14,160 Speaker 2: she's actually very petite. She doesn't read as petite on screen. 80 00:04:14,760 --> 00:04:18,080 Speaker 2: She you know, she says Wikipedia got her height wrong. 81 00:04:18,240 --> 00:04:20,839 Speaker 2: I guess she's about five five or five six. 82 00:04:21,160 --> 00:04:24,159 Speaker 1: Really, Yeah, Honestly, on television, I'm going to say she 83 00:04:24,200 --> 00:04:25,839 Speaker 1: does read like five nine five times. 84 00:04:25,880 --> 00:04:28,800 Speaker 2: She just reads as a much sort of bigger, taller 85 00:04:28,880 --> 00:04:34,040 Speaker 2: person and She's quite petite and was very engaging, and 86 00:04:34,400 --> 00:04:38,560 Speaker 2: I really encouraged her to just have a conversation with 87 00:04:38,600 --> 00:04:41,000 Speaker 2: me as if we were sitting across from each other 88 00:04:41,120 --> 00:04:42,800 Speaker 2: having a cup of coffee. 89 00:04:42,520 --> 00:04:44,720 Speaker 1: And in that interview, you actually were sitting across from 90 00:04:44,760 --> 00:04:46,839 Speaker 1: each other, like I remember, it being a sort of 91 00:04:47,160 --> 00:04:49,760 Speaker 1: a much more conversant interaction than. 92 00:04:49,720 --> 00:04:51,000 Speaker 3: Usually she has. 93 00:04:51,320 --> 00:04:54,520 Speaker 2: Yeah, I hope so. But you know, it was interesting 94 00:04:54,600 --> 00:04:58,400 Speaker 2: because I still was somewhat frustrated. I talked to her, 95 00:04:58,920 --> 00:05:02,120 Speaker 2: it was sort of what was happening in the Middle East, 96 00:05:02,360 --> 00:05:08,280 Speaker 2: and I said, what happened on October seventh was unimaginably horrific. 97 00:05:09,080 --> 00:05:14,239 Speaker 2: And I don't think anyone can even describe the terrible 98 00:05:14,279 --> 00:05:16,880 Speaker 2: things that happened that day. We've read so much about 99 00:05:16,920 --> 00:05:21,159 Speaker 2: the sexual assaults that occurred, and just the depravity of 100 00:05:21,240 --> 00:05:26,640 Speaker 2: the way people were killed, just horrific. Having said that, 101 00:05:27,279 --> 00:05:30,839 Speaker 2: let's turn our attention to civilian casualties in Gaza, and 102 00:05:30,960 --> 00:05:34,640 Speaker 2: the first thing she said was let's talk about October seventh, 103 00:05:35,600 --> 00:05:40,000 Speaker 2: And he almost felt like she was reverting to, you know, 104 00:05:40,279 --> 00:05:44,159 Speaker 2: not really talking points, but had a very specific outline 105 00:05:44,160 --> 00:05:48,600 Speaker 2: and agenda, and you know, and of course that took 106 00:05:48,680 --> 00:05:50,039 Speaker 2: up a lot of time, you know, when you have 107 00:05:50,080 --> 00:05:54,479 Speaker 2: a half hour with someone, every second counts. But I 108 00:05:54,520 --> 00:05:57,159 Speaker 2: think it was really great to talk to her. I 109 00:05:57,160 --> 00:06:00,480 Speaker 2: think she did. She was much more conversant than I'd 110 00:06:00,480 --> 00:06:03,360 Speaker 2: seen her in previous interviews, so I was happy about that. 111 00:06:03,880 --> 00:06:06,479 Speaker 1: So this weekend, now, Katie, you've been reporting on the 112 00:06:06,520 --> 00:06:09,560 Speaker 1: news for a long time, You've been being a journalist 113 00:06:09,560 --> 00:06:13,440 Speaker 1: for a long time. What was your reaction when the 114 00:06:13,480 --> 00:06:17,120 Speaker 1: news broke on Sunday that President Biden was going to 115 00:06:17,160 --> 00:06:18,080 Speaker 1: step off the ticket. 116 00:06:18,440 --> 00:06:22,320 Speaker 2: Well, we had heard, obviously rumblings from a lot of 117 00:06:22,320 --> 00:06:25,520 Speaker 2: different sources, and I'm sure Alyssa you were hearing the 118 00:06:25,560 --> 00:06:28,520 Speaker 2: same thing that it was likely to happen on Sunday. 119 00:06:28,600 --> 00:06:33,440 Speaker 2: I think what through everyone was that Trump's convention speech 120 00:06:33,720 --> 00:06:38,719 Speaker 2: was so bad and so long and so sort of 121 00:06:38,760 --> 00:06:44,040 Speaker 2: boring and rambling. I worried that that might have energized 122 00:06:44,320 --> 00:06:48,159 Speaker 2: or made the Biden team have second thoughts. They might 123 00:06:48,160 --> 00:06:51,839 Speaker 2: have seen his speech and said to themselves, you know, 124 00:06:51,960 --> 00:06:57,520 Speaker 2: he is beatable, and that maybe they had changed their minds. 125 00:06:57,600 --> 00:07:00,840 Speaker 2: But we had been hearing for a long time, or 126 00:07:00,880 --> 00:07:03,039 Speaker 2: at least not a long time really, but a few 127 00:07:03,120 --> 00:07:05,640 Speaker 2: days that the announcement was going to come that weekend, 128 00:07:07,040 --> 00:07:12,720 Speaker 2: so I was sort of surprised and sad, and it 129 00:07:12,760 --> 00:07:17,000 Speaker 2: was such a It was almost weirdly an exciting yet 130 00:07:17,040 --> 00:07:20,400 Speaker 2: anti climatic, because you knew it was coming, and I 131 00:07:20,520 --> 00:07:23,800 Speaker 2: had so many conflicting feelings. A friend of mine had 132 00:07:23,880 --> 00:07:26,240 Speaker 2: just sent me an article from the Bulwark that said, 133 00:07:26,600 --> 00:07:32,320 Speaker 2: enough already with the Biden's psychodrama, right, and I thought, oh, gosh, 134 00:07:32,400 --> 00:07:34,600 Speaker 2: how long is this going to go on? We had 135 00:07:34,600 --> 00:07:37,240 Speaker 2: heard rumors that perhaps they were going to have the 136 00:07:37,280 --> 00:07:40,040 Speaker 2: electronic vote and that Joe Biden was going to be 137 00:07:40,080 --> 00:07:44,440 Speaker 2: delivered the delegates, be validated and then release them. But 138 00:07:44,480 --> 00:07:47,480 Speaker 2: then I wondered, well, if that happened, would that make 139 00:07:47,600 --> 00:07:52,360 Speaker 2: him second guests dropping out again? So I think that 140 00:07:53,080 --> 00:07:57,200 Speaker 2: I was. I was surprised and yet not surprised, if 141 00:07:57,200 --> 00:07:57,960 Speaker 2: that's possible. 142 00:07:58,400 --> 00:07:59,880 Speaker 3: Right now, I think you know what it is. I 143 00:08:00,240 --> 00:08:03,760 Speaker 3: was not surprised by the announcement. I was surprised by 144 00:08:03,800 --> 00:08:05,760 Speaker 3: my personal reaction, Yeah. 145 00:08:05,480 --> 00:08:08,720 Speaker 1: Because I definitely I got sad, I cried a little bit, 146 00:08:08,800 --> 00:08:12,240 Speaker 1: I felt bad. I think that I tried to understand 147 00:08:12,280 --> 00:08:13,480 Speaker 1: what it took for him. 148 00:08:13,400 --> 00:08:16,760 Speaker 2: To get to that place, right, Yeah, And I think 149 00:08:16,920 --> 00:08:18,960 Speaker 2: you know, a friend of mine was at the swimming 150 00:08:18,960 --> 00:08:22,400 Speaker 2: pool with her family and they announced it over the loudspeaker. 151 00:08:22,560 --> 00:08:26,960 Speaker 2: Really everyone started cheering. And that's tough. You know, it 152 00:08:27,120 --> 00:08:29,880 Speaker 2: is tough, and it makes me sad. I've known Joe 153 00:08:29,880 --> 00:08:32,319 Speaker 2: Biden for a long time, you know, I've covered many 154 00:08:32,320 --> 00:08:37,080 Speaker 2: of his presidential runs, and you know, it's a shame. 155 00:08:37,360 --> 00:08:39,520 Speaker 2: On the other hand, you know, when I compared it 156 00:08:39,559 --> 00:08:43,560 Speaker 2: to taking the keys away from an elderly driver, you know, 157 00:08:43,720 --> 00:08:47,720 Speaker 2: someone smartly pointed out to me, you know, this wasn't 158 00:08:47,880 --> 00:08:51,960 Speaker 2: just an elderly driver. This was an elderly man who 159 00:08:52,000 --> 00:08:57,360 Speaker 2: was running the country. And I feel so many different things. 160 00:08:57,000 --> 00:09:01,400 Speaker 2: I'm sad. I hope though, that he'll be celebrated at 161 00:09:01,440 --> 00:09:04,920 Speaker 2: the convention and appreciated and get the adulation that I 162 00:09:04,960 --> 00:09:08,480 Speaker 2: think he deserves. On the other hand, I'm still a 163 00:09:08,520 --> 00:09:11,920 Speaker 2: little myth that he didn't make this decision earlier and 164 00:09:11,960 --> 00:09:15,840 Speaker 2: that he put everyone through this huge amount of stress. 165 00:09:16,520 --> 00:09:17,360 Speaker 3: Do you think so. 166 00:09:17,559 --> 00:09:20,120 Speaker 1: I was listening to Doris Karen's Goodwin the other day 167 00:09:20,160 --> 00:09:24,320 Speaker 1: and she was talking about when LBJ decided to step down, 168 00:09:24,760 --> 00:09:28,280 Speaker 1: and that before he made the announcement, he looked horrible. 169 00:09:28,760 --> 00:09:32,040 Speaker 1: He was so worn his eyes were dark circles, and 170 00:09:32,080 --> 00:09:35,760 Speaker 1: that after he made his speech, Ladybird said she could 171 00:09:35,760 --> 00:09:39,480 Speaker 1: literally see the stress lifted off of his shoulders. Do 172 00:09:39,559 --> 00:09:42,559 Speaker 1: you think that this will have the we're speaking today 173 00:09:42,559 --> 00:09:44,839 Speaker 1: on Wednesday? Biden is set to address the nation tonight 174 00:09:44,840 --> 00:09:48,160 Speaker 1: at eight o'clock. Do you think that Do you think 175 00:09:48,200 --> 00:09:50,439 Speaker 1: that it will have the same effect on him? And 176 00:09:50,920 --> 00:09:54,040 Speaker 1: how do you think, now that he is unburdened by 177 00:09:54,040 --> 00:09:56,120 Speaker 1: being a candidate, he's going to approach the rest of 178 00:09:56,120 --> 00:09:56,600 Speaker 1: his term. 179 00:09:57,480 --> 00:10:01,200 Speaker 2: Well, first of all, if you think we're conflicted, imagine 180 00:10:01,240 --> 00:10:04,000 Speaker 2: how he feels, just on a human level. I think 181 00:10:04,080 --> 00:10:08,000 Speaker 2: he feels. I thought about him, how he must feel, 182 00:10:09,000 --> 00:10:11,600 Speaker 2: or how he felt the day after the morning he 183 00:10:11,640 --> 00:10:14,800 Speaker 2: woke up after that debate. You know, we've all had 184 00:10:14,840 --> 00:10:17,320 Speaker 2: bad things happen to us and we wake up and 185 00:10:17,679 --> 00:10:20,240 Speaker 2: we've forgotten them in our sleep, and suddenly we're like, 186 00:10:20,320 --> 00:10:24,280 Speaker 2: oh God, that was real. That was real. And so 187 00:10:24,600 --> 00:10:29,560 Speaker 2: I think he must feel so conflicted. You know, Listen, 188 00:10:30,440 --> 00:10:34,600 Speaker 2: no one really knows the extent of any health issues 189 00:10:34,640 --> 00:10:39,719 Speaker 2: he might be having. I really I feel like presumptuous 190 00:10:39,760 --> 00:10:43,240 Speaker 2: to kind of say how he's feeling, because I really 191 00:10:43,280 --> 00:10:46,080 Speaker 2: don't know but I do think that there will be 192 00:10:46,120 --> 00:10:50,679 Speaker 2: a sense of urgency to finish his term with a 193 00:10:50,720 --> 00:10:53,960 Speaker 2: bang and to get some things accomplished. Now, who knows 194 00:10:54,000 --> 00:10:58,040 Speaker 2: if he'll be able to because Capitol Hill is so 195 00:10:58,280 --> 00:11:03,200 Speaker 2: paralyzed and so hopeless polarized. So but I hope that 196 00:11:03,840 --> 00:11:07,040 Speaker 2: My hope for him is that he will feel really proud, 197 00:11:07,520 --> 00:11:10,720 Speaker 2: that he'll feel like the elder statesman he deserves to be, 198 00:11:11,400 --> 00:11:15,240 Speaker 2: that as I said, he'll be celebrated at the convention, 199 00:11:15,520 --> 00:11:19,560 Speaker 2: and that he'll be a powerful voice in the campaign 200 00:11:19,800 --> 00:11:25,840 Speaker 2: for Kamala Harris. But I think all those things are true. 201 00:11:26,200 --> 00:11:31,120 Speaker 1: Have you been surprised by the energy that Kamala Harris 202 00:11:31,160 --> 00:11:32,760 Speaker 1: being at the top of the ticket has brought to 203 00:11:32,800 --> 00:11:33,200 Speaker 1: the election? 204 00:11:33,360 --> 00:11:33,480 Speaker 3: Now? 205 00:11:33,880 --> 00:11:38,400 Speaker 2: No, because I think there was so much almost a 206 00:11:38,480 --> 00:11:44,160 Speaker 2: depression had set over Democrats and people who are Republicans 207 00:11:44,240 --> 00:11:47,800 Speaker 2: but don't feel comfortable supporting Donald Trump. And I think 208 00:11:47,840 --> 00:11:52,400 Speaker 2: it just felt like we were driving this slow car 209 00:11:52,679 --> 00:11:56,720 Speaker 2: off a cliff, and that the convention was going to 210 00:11:56,760 --> 00:12:04,240 Speaker 2: be kind of lifeless, sort of begrudging endorsement and support 211 00:12:04,400 --> 00:12:08,439 Speaker 2: for President Biden when his support was twindling, And I think, 212 00:12:09,440 --> 00:12:12,400 Speaker 2: you know, people just weren't excited about this election. You 213 00:12:12,440 --> 00:12:17,600 Speaker 2: hear about the what are they called? When they hated 214 00:12:17,600 --> 00:12:23,600 Speaker 2: both double haters right? And I think that people were 215 00:12:23,640 --> 00:12:31,000 Speaker 2: desperately seeking energy and generational change, and that's why I 216 00:12:31,000 --> 00:12:34,920 Speaker 2: think people were so excited about the prospect of having 217 00:12:35,040 --> 00:12:37,520 Speaker 2: Kamala Harris on the ticket. But I think also they 218 00:12:37,559 --> 00:12:41,439 Speaker 2: would have been excited about anyone that they could rally around. 219 00:12:42,120 --> 00:12:46,280 Speaker 2: And I was surprised that, after so much talk about 220 00:12:46,640 --> 00:12:49,800 Speaker 2: a sort of mini primary or an open process, when 221 00:12:49,840 --> 00:12:52,920 Speaker 2: other people could throw their hats into the ring, that 222 00:12:53,520 --> 00:12:58,160 Speaker 2: she was really anointed so quickly, and that everybody fell 223 00:12:58,200 --> 00:13:01,440 Speaker 2: in line. I think, ultimately that's a good thing, but 224 00:13:01,520 --> 00:13:04,040 Speaker 2: that surprised me. I didn't think there would be such 225 00:13:04,040 --> 00:13:06,400 Speaker 2: a rush to support her. 226 00:13:06,800 --> 00:13:07,320 Speaker 3: I agree. 227 00:13:07,360 --> 00:13:09,360 Speaker 1: I mean in the first twenty four and not even 228 00:13:09,400 --> 00:13:11,200 Speaker 1: the first twenty four hours, and this in the first 229 00:13:11,280 --> 00:13:14,480 Speaker 1: eight hours, I think all fifty Democratic state party chairs 230 00:13:14,480 --> 00:13:17,960 Speaker 1: had endorsed her. To date, as we speak today, she's 231 00:13:18,040 --> 00:13:22,400 Speaker 1: raised more money than any person in presidential election history. 232 00:13:22,520 --> 00:13:23,760 Speaker 2: Now what is the number up to? 233 00:13:23,840 --> 00:13:26,160 Speaker 3: I note it was, It's crazy. You can't even keep 234 00:13:26,160 --> 00:13:26,679 Speaker 3: track of it. 235 00:13:26,760 --> 00:13:29,760 Speaker 1: I know that the I know that as of I 236 00:13:29,800 --> 00:13:33,760 Speaker 1: think last night, as of Tuesday, afternoon. The campaign itself, 237 00:13:33,800 --> 00:13:38,920 Speaker 1: so just Harris for President had raised ninety two million dollars. 238 00:13:39,200 --> 00:13:40,640 Speaker 3: But Katie, here's the craziest thing. 239 00:13:41,000 --> 00:13:43,959 Speaker 1: Sixty percent of the donations to the Harris for President 240 00:13:44,040 --> 00:13:49,120 Speaker 1: campaign were new donors, and forty thousand people made their 241 00:13:49,120 --> 00:13:50,400 Speaker 1: donations recurring. 242 00:13:51,120 --> 00:13:51,520 Speaker 2: Wow. 243 00:13:51,800 --> 00:13:54,600 Speaker 1: So it's like, I am very now, Katie, because you 244 00:13:54,640 --> 00:13:56,920 Speaker 1: are the journalist and I am the political hack who's 245 00:13:56,960 --> 00:13:59,920 Speaker 1: done many campaigns, and so I'm very doomsday about things. 246 00:14:00,000 --> 00:14:02,160 Speaker 1: I'm like, okay, okay, let's not like smell our own 247 00:14:02,200 --> 00:14:04,000 Speaker 1: farts here. You know, like there's a lot, there's a 248 00:14:04,000 --> 00:14:06,560 Speaker 1: lot left to happen. You know, like the money is great. 249 00:14:06,600 --> 00:14:09,719 Speaker 2: You never heard that expression, and it's disgusting. 250 00:14:09,880 --> 00:14:12,200 Speaker 1: It's disgusting, but it's it's accurate, and you know exactly 251 00:14:12,200 --> 00:14:14,640 Speaker 1: what I meant. And so I'm like, we have to 252 00:14:14,679 --> 00:14:16,720 Speaker 1: be careful. We can't sit on her, we can't rest 253 00:14:16,760 --> 00:14:19,080 Speaker 1: on our laurels. Right, Like, this is great. It's the 254 00:14:19,120 --> 00:14:20,960 Speaker 1: first four days, three days. 255 00:14:20,680 --> 00:14:22,960 Speaker 2: Since this is and there's also a lot of other things. 256 00:14:23,040 --> 00:14:26,360 Speaker 2: I mean, I think that there's this exhilaration and a 257 00:14:26,480 --> 00:14:32,320 Speaker 2: bulliance right now among Democrats, but I think, you know, 258 00:14:32,600 --> 00:14:34,800 Speaker 2: that's sort of like the high you get when you 259 00:14:34,880 --> 00:14:38,120 Speaker 2: fall in love and then things kind of normalize. And 260 00:14:38,160 --> 00:14:40,840 Speaker 2: I was listening to the Daily Alyssa and you know 261 00:14:40,920 --> 00:14:44,400 Speaker 2: her favorability ratings, as you well know the Democratic hack 262 00:14:44,520 --> 00:14:49,600 Speaker 2: you are that are are problematic, right And and as 263 00:14:49,680 --> 00:14:53,080 Speaker 2: James Carville said, I interviewed him yesterday, he's so funny. 264 00:14:53,120 --> 00:14:55,240 Speaker 2: He was in front of like a bar full of liquor. 265 00:14:55,280 --> 00:14:56,640 Speaker 2: I don't even know where he was. 266 00:14:56,680 --> 00:14:59,560 Speaker 1: And that's always a little bit of skew. 267 00:14:59,800 --> 00:15:03,920 Speaker 2: All is lsu Garbon, who's just so funny. I've known 268 00:15:04,000 --> 00:15:05,640 Speaker 2: him for a long time too. Do you know he's 269 00:15:05,640 --> 00:15:08,920 Speaker 2: going to be eighty years old? Is that crazy? Yes, 270 00:15:09,440 --> 00:15:13,800 Speaker 2: it is crazy. But anyway, he said, you know, there's 271 00:15:13,840 --> 00:15:16,680 Speaker 2: a lot of work to be done. So I think 272 00:15:16,760 --> 00:15:22,720 Speaker 2: you're right. People cannot, you know, inhale their own flatulence. 273 00:15:24,880 --> 00:15:27,560 Speaker 3: Correct. I gave you a better one, rest on their laurels. 274 00:15:27,560 --> 00:15:28,480 Speaker 3: We can't rest. 275 00:15:28,280 --> 00:15:31,600 Speaker 2: Only And there's I think there are a lot of 276 00:15:31,680 --> 00:15:37,120 Speaker 2: minds to be persuaded, you know. I was talking to 277 00:15:37,240 --> 00:15:39,880 Speaker 2: my husband and he said, wow, a lot of men 278 00:15:40,000 --> 00:15:43,440 Speaker 2: don't like Kamala Harris. Because he'd been on a golf trip, right, 279 00:15:44,200 --> 00:15:46,320 Speaker 2: So I asked him, I said, I'm going to be 280 00:15:46,440 --> 00:15:50,080 Speaker 2: doing a podcast with Melissa. I'm curious, why why don't 281 00:15:50,120 --> 00:15:53,440 Speaker 2: we like her? Is? What is it? And he said, 282 00:15:53,720 --> 00:15:57,000 Speaker 2: they think she you know, my husband's a businessman. He 283 00:15:57,400 --> 00:16:01,080 Speaker 2: golfs with a lot of business guys, and they think 284 00:16:01,320 --> 00:16:05,520 Speaker 2: she's too progressive, not pro business enough, not supportive of 285 00:16:05,600 --> 00:16:12,400 Speaker 2: business interests. And I think it's sort of who's ahead 286 00:16:12,400 --> 00:16:15,240 Speaker 2: of the FTC that has become a real lightning rod 287 00:16:15,400 --> 00:16:20,680 Speaker 2: Lena Kon exactly, and I think that they're concerned about that. 288 00:16:21,000 --> 00:16:23,880 Speaker 2: So I thought that was an interesting, very very small 289 00:16:23,880 --> 00:16:24,560 Speaker 2: focus group. 290 00:16:24,920 --> 00:16:26,040 Speaker 3: It's a small focus group. 291 00:16:26,080 --> 00:16:29,160 Speaker 1: And also those were not misogynistic reasons, so that's encouraging. 292 00:16:29,400 --> 00:16:33,000 Speaker 3: Yeah, those are all policy related. I'm okay with that. 293 00:16:33,480 --> 00:16:36,080 Speaker 1: And you know, but Katie, the thing that's so interesting 294 00:16:36,280 --> 00:16:40,360 Speaker 1: is that when people are always talking about vice presidents, 295 00:16:40,440 --> 00:16:44,440 Speaker 1: is always seen as this launching pad for the presidency, right, 296 00:16:45,120 --> 00:16:48,880 Speaker 1: but it's not actually So I did a low research 297 00:16:49,240 --> 00:16:54,720 Speaker 1: and only one incumbent vice president, George Herbert Walker Bush, 298 00:16:54,800 --> 00:16:58,600 Speaker 1: has been elected from the vice presidency to president since 299 00:16:58,680 --> 00:16:59,560 Speaker 1: Martin Van Buren. 300 00:17:00,000 --> 00:17:00,240 Speaker 2: Wow. 301 00:17:00,960 --> 00:17:04,760 Speaker 1: So Truman and LBJ were promoted to president and then 302 00:17:04,840 --> 00:17:08,520 Speaker 1: went on to have successful elections. Ford was promoted to 303 00:17:08,560 --> 00:17:11,560 Speaker 1: the presidency after Nixon resigned and then lost in nineteen 304 00:17:11,560 --> 00:17:15,960 Speaker 1: seventy six. Nixon and Biden went on to win after 305 00:17:16,040 --> 00:17:18,200 Speaker 1: taking a hiatus from public office. 306 00:17:18,400 --> 00:17:21,359 Speaker 2: Fascinating, you're a regular Doris Kurn's Goodwin. I like it. 307 00:17:21,400 --> 00:17:24,520 Speaker 3: Well, listen, it's to me. I just like to I 308 00:17:25,080 --> 00:17:26,919 Speaker 3: like a lot of perspective. 309 00:17:26,400 --> 00:17:30,240 Speaker 2: Right by the way, that's fascinating, And maybe that shouldn't 310 00:17:30,280 --> 00:17:34,080 Speaker 2: be widely distributed, because I don't think it's particularly helpful 311 00:17:34,200 --> 00:17:34,639 Speaker 2: problem it. 312 00:17:34,840 --> 00:17:36,159 Speaker 3: Was, it's it's to me. 313 00:17:37,160 --> 00:17:40,199 Speaker 1: When we were on a campaign, I just think, you know, 314 00:17:40,359 --> 00:17:43,800 Speaker 1: when David Pluff ran the race, which you came, we 315 00:17:43,840 --> 00:17:45,879 Speaker 1: still all talk about the day you came to headquarters 316 00:17:46,359 --> 00:17:48,560 Speaker 1: when when he ran the race, he is like, every 317 00:17:48,600 --> 00:17:50,400 Speaker 1: day has to be on the high wire. You can 318 00:17:50,480 --> 00:17:52,760 Speaker 1: never believe the polls. You always have to run like 319 00:17:52,760 --> 00:17:55,960 Speaker 1: you're down. And so I think that we're all so 320 00:17:56,000 --> 00:17:57,520 Speaker 1: many people are very energized. 321 00:17:57,600 --> 00:17:58,320 Speaker 3: I'm energized. 322 00:17:58,320 --> 00:18:01,920 Speaker 1: I'm really glad that that Kamala Harris has come out 323 00:18:01,960 --> 00:18:05,639 Speaker 1: of the gate like on gusts, right, But we just 324 00:18:05,800 --> 00:18:09,359 Speaker 1: I just it's always good to remember that there are headwinds, 325 00:18:09,800 --> 00:18:13,800 Speaker 1: you know, like right, there are Headwinds and Katie. I actually, 326 00:18:13,920 --> 00:18:16,480 Speaker 1: so you have a morning newsletter wake Up Call, which 327 00:18:16,480 --> 00:18:20,359 Speaker 1: I read every day, and you in this morning's issue 328 00:18:20,400 --> 00:18:23,199 Speaker 1: get into the deep steaks and which I think is 329 00:18:23,200 --> 00:18:27,880 Speaker 1: when you interview James Carvill and Broke Rocanna right right right, 330 00:18:28,160 --> 00:18:30,960 Speaker 1: So I would love to know who who on the 331 00:18:31,000 --> 00:18:34,200 Speaker 1: short list that you're hearing about is sparking. 332 00:18:33,800 --> 00:18:34,439 Speaker 3: Interest for you. 333 00:18:35,160 --> 00:18:39,119 Speaker 2: Well, I'm pretty friendly with Mark Kelly because I covered 334 00:18:39,320 --> 00:18:44,439 Speaker 2: Gabby Gifford so much when she was shot, and I 335 00:18:44,480 --> 00:18:48,480 Speaker 2: really like Mark. He's been an amazing partner to Gabby 336 00:18:48,480 --> 00:18:54,920 Speaker 2: Gifford's I think his such high integrity and character. He's 337 00:18:54,960 --> 00:18:58,119 Speaker 2: got a military background. He's a member of the NRA, 338 00:18:58,600 --> 00:19:03,840 Speaker 2: but support stricter gun laws, which surprisingly seventy four percent 339 00:19:03,960 --> 00:19:07,880 Speaker 2: of our A members do. That's a big misnomer saw 340 00:19:07,920 --> 00:19:11,119 Speaker 2: the gun manufacturers. But that's another subject. And I just 341 00:19:11,200 --> 00:19:15,240 Speaker 2: think that he would be an interesting choice the governor 342 00:19:15,320 --> 00:19:18,160 Speaker 2: of Arizona's Democratics so they don't have to worry about 343 00:19:18,240 --> 00:19:21,920 Speaker 2: the Senate going to a Republican and so I think 344 00:19:21,960 --> 00:19:25,760 Speaker 2: Mark Kelly is an interesting choice. James Carville talked about 345 00:19:25,840 --> 00:19:29,160 Speaker 2: Mitch Landrew. Now weirdly I'm friendly with Mitch Landrew too. 346 00:19:30,320 --> 00:19:33,600 Speaker 2: And you know, when you've been around as long as 347 00:19:33,640 --> 00:19:35,880 Speaker 2: I am, I'm not name dropping. I do know these 348 00:19:36,640 --> 00:19:39,040 Speaker 2: so no, no, no, But I don't know Andy Basheer, 349 00:19:39,160 --> 00:19:43,080 Speaker 2: for example, and someone had a photo of him and 350 00:19:43,160 --> 00:19:46,199 Speaker 2: said his family was made in a lab precisely for 351 00:19:46,280 --> 00:19:49,399 Speaker 2: this moment. I don't know if you saw the picture. 352 00:19:49,640 --> 00:19:52,680 Speaker 3: It's very John Edwards circa two thousand and four. 353 00:19:52,800 --> 00:19:56,000 Speaker 2: It is very John Edwards and is very white. Everything 354 00:19:56,040 --> 00:19:58,760 Speaker 2: about that photo is white. Their clothes are white, although 355 00:19:58,880 --> 00:20:03,120 Speaker 2: somebody parted from the instructions and wore khakis or kind 356 00:20:03,119 --> 00:20:05,840 Speaker 2: of a toad color pants, and I was like, that 357 00:20:05,880 --> 00:20:10,679 Speaker 2: person is busted. But anyway, I really like Mitch llan Andrew. 358 00:20:10,920 --> 00:20:14,880 Speaker 2: I think he is an incredible communicator. That was James 359 00:20:14,880 --> 00:20:17,960 Speaker 2: Carville's point too. I think he you know, he's head 360 00:20:18,000 --> 00:20:21,840 Speaker 2: of the campaign, He was really involved in implementing infrastructure. 361 00:20:21,880 --> 00:20:24,520 Speaker 2: I just don't know if being the mayor of New 362 00:20:24,680 --> 00:20:29,920 Speaker 2: Orleans is enough. He had an incredible courage to take 363 00:20:30,000 --> 00:20:35,880 Speaker 2: down the Confederate statues and get delivered that really important speech. 364 00:20:37,080 --> 00:20:40,240 Speaker 2: I don't know if that's gonna dissuade yahoos from kind 365 00:20:40,280 --> 00:20:44,320 Speaker 2: of supporting him. Honestly, but I like both of them. 366 00:20:44,400 --> 00:20:47,000 Speaker 2: How about you, allis I'm curious, and you know, I 367 00:20:47,000 --> 00:20:51,480 Speaker 2: think you also know more about the calculations that are 368 00:20:51,520 --> 00:20:54,879 Speaker 2: involved in picking a vice presidential candidate. You know where 369 00:20:54,920 --> 00:20:59,120 Speaker 2: they can compensate for the top of the any perceived 370 00:20:59,119 --> 00:21:05,680 Speaker 2: weaknesses and top of the ticket geographic considerations, state considerations. Oh, 371 00:21:05,720 --> 00:21:07,679 Speaker 2: by the way, can I just say two other people 372 00:21:07,680 --> 00:21:10,159 Speaker 2: who I really like? First of all, Gretchen Whitmer. I 373 00:21:10,200 --> 00:21:13,040 Speaker 2: interviewed her at the Asman Ideas Festival. I love amazing, 374 00:21:13,280 --> 00:21:15,920 Speaker 2: but I didn't talk to her enough about public policy, 375 00:21:16,080 --> 00:21:19,960 Speaker 2: so she was. I love talking to her. She's got 376 00:21:19,960 --> 00:21:23,800 Speaker 2: a great story, She's so personal, she's so normal, you know. 377 00:21:23,880 --> 00:21:25,560 Speaker 2: I felt like, you know, we. 378 00:21:25,400 --> 00:21:26,280 Speaker 3: Were a big gretch. 379 00:21:26,800 --> 00:21:30,600 Speaker 2: Yeah, big gretch. And her book is called True Gretch. Honestly, 380 00:21:30,720 --> 00:21:32,960 Speaker 2: I don't know her publisher is, but I would have said, 381 00:21:33,160 --> 00:21:36,040 Speaker 2: maybe we can come up with another title. But anyway, 382 00:21:36,240 --> 00:21:42,080 Speaker 2: she is fabulous and I love Pete boudajudge mm hmmm hmm. 383 00:21:42,520 --> 00:21:46,240 Speaker 2: But I don't know a black woman and a gay 384 00:21:46,600 --> 00:21:50,080 Speaker 2: vice president. I think that might be a bridge too far. 385 00:21:50,160 --> 00:21:54,720 Speaker 2: But maybe I'm wrong. I hope I'm wrong. And Josh 386 00:21:54,760 --> 00:21:58,440 Speaker 2: Sapiro Maggie Haberman told me he wasn't interested. I don't 387 00:21:58,480 --> 00:22:02,000 Speaker 2: know how she knows that. But he's only been governor 388 00:22:02,040 --> 00:22:04,760 Speaker 2: for a year and a half. Do you think, by 389 00:22:04,800 --> 00:22:07,960 Speaker 2: the way, being Jewish would hurt you now or like 390 00:22:08,040 --> 00:22:11,920 Speaker 2: someone James Carville said Joe Lieberman, it didn't hurt him. 391 00:22:12,080 --> 00:22:16,359 Speaker 2: And but but I don't know. I don't know. With 392 00:22:16,400 --> 00:22:20,040 Speaker 2: the rise in anti Semitism, I worry about everything a sudden. 393 00:22:19,800 --> 00:22:21,520 Speaker 3: Because I know, you know, here's the thing. 394 00:22:21,920 --> 00:22:24,679 Speaker 1: Having been so back in two thousand and four, I 395 00:22:24,880 --> 00:22:27,560 Speaker 1: actually set up all of the meeting I think John 396 00:22:27,640 --> 00:22:31,000 Speaker 1: Carey met with like eight people in person around the country, 397 00:22:31,080 --> 00:22:33,080 Speaker 1: and I was there for most of those meetings. 398 00:22:33,119 --> 00:22:35,199 Speaker 2: Now that I spent fascinating it was. 399 00:22:35,320 --> 00:22:37,240 Speaker 1: I mean, there was at one point when I had 400 00:22:37,280 --> 00:22:41,200 Speaker 1: to throw Bob Graham, Senator from Florida into literally physically 401 00:22:41,200 --> 00:22:43,080 Speaker 1: throw him into a car and put a jacket over 402 00:22:43,119 --> 00:22:47,440 Speaker 1: his head because reporters Katie thought that this was actually 403 00:22:47,560 --> 00:22:49,760 Speaker 1: very funny. John Carrey was getting a lot of dental 404 00:22:49,800 --> 00:22:52,040 Speaker 1: work done back then, and they were convinced that the 405 00:22:52,160 --> 00:22:55,400 Speaker 1: VP meetings were happening at the dentist's office. 406 00:22:56,320 --> 00:22:57,600 Speaker 3: And we actually so weird. 407 00:22:57,760 --> 00:23:02,040 Speaker 1: It's so weird, but we you know, to me, having 408 00:23:02,080 --> 00:23:06,480 Speaker 1: heard some of those meetings, seeing how Barack Obama did 409 00:23:06,520 --> 00:23:10,439 Speaker 1: his VP process, honestly, it usually just comes down to 410 00:23:10,560 --> 00:23:13,719 Speaker 1: like do I trust this person like chemistry right? And 411 00:23:13,760 --> 00:23:17,479 Speaker 1: can this person be my teammate right? And so I 412 00:23:17,520 --> 00:23:24,320 Speaker 1: think that for Vice President Harris Mark Kelly, to me, 413 00:23:24,560 --> 00:23:28,240 Speaker 1: is the easiest person to introduce to America. His bio 414 00:23:28,640 --> 00:23:35,360 Speaker 1: is fighter pilot, astronaut, senator hero, you know, like husband 415 00:23:35,359 --> 00:23:36,280 Speaker 1: of Gabby Gifford's. 416 00:23:36,320 --> 00:23:38,360 Speaker 3: I think America would get him real quick, like. 417 00:23:38,400 --> 00:23:41,600 Speaker 1: Even people who people who are not really familiar with him. 418 00:23:41,760 --> 00:23:45,240 Speaker 1: I think, just you do one bioad and I feel 419 00:23:45,240 --> 00:23:47,440 Speaker 1: like people are like, huh, he seems like a good dude. 420 00:23:47,560 --> 00:23:49,840 Speaker 1: You throw the NRA stuff in there, make sure people 421 00:23:49,920 --> 00:23:52,240 Speaker 1: don't think that he's gonna come take their guns away. 422 00:23:52,920 --> 00:23:55,800 Speaker 2: And plus he's an identical twins, so he can be 423 00:23:55,840 --> 00:23:59,960 Speaker 2: two vices at once exactly. Absolutely doesn't that sound like 424 00:24:00,160 --> 00:24:01,080 Speaker 2: a movie, by the way? 425 00:24:01,160 --> 00:24:01,679 Speaker 3: It does? 426 00:24:01,720 --> 00:24:04,080 Speaker 1: And then I think the interesting thing, So there, So, 427 00:24:04,200 --> 00:24:09,760 Speaker 1: Josh Shapiro, Pennsylvania Democrats cannot win without Pennsylvania. I normally 428 00:24:10,119 --> 00:24:12,960 Speaker 1: do not think that picking someone based on their state 429 00:24:13,080 --> 00:24:16,359 Speaker 1: is worth anything. We picked John Carey pick John Edwards 430 00:24:16,440 --> 00:24:18,800 Speaker 1: because he was from North Carolina. We lost to North Carolina, 431 00:24:19,359 --> 00:24:22,080 Speaker 1: so it didn't do us any good. But Josh Shapiro's 432 00:24:22,119 --> 00:24:27,560 Speaker 1: won statewide three times. He's incredibly attorney general, He's incredibly 433 00:24:27,640 --> 00:24:32,520 Speaker 1: popular in Pennsylvania. He's a dynamic campaigner, he's great on TV. 434 00:24:32,840 --> 00:24:36,680 Speaker 1: So I if I had to do two, I think 435 00:24:36,720 --> 00:24:37,960 Speaker 1: I'd put those two at the top. 436 00:24:38,040 --> 00:24:40,480 Speaker 3: And then Roy Cooper from North Carolina. 437 00:24:40,480 --> 00:24:41,720 Speaker 2: I don't know much about him. 438 00:24:41,760 --> 00:24:42,440 Speaker 3: I don't know much. 439 00:24:42,359 --> 00:24:46,240 Speaker 1: About him either, actually, but he's won statewide six times. 440 00:24:46,320 --> 00:24:47,960 Speaker 3: I think in North Carolina, and. 441 00:24:47,920 --> 00:24:51,159 Speaker 2: It's term more important than North Carolina. Uh. 442 00:24:51,840 --> 00:24:54,359 Speaker 1: I think North Carolina, and we can cut this if 443 00:24:54,400 --> 00:24:57,960 Speaker 1: I'm wrong. I think North Carolina has three fewer electoral votes. 444 00:24:58,119 --> 00:24:59,199 Speaker 3: I think it's something like that. 445 00:25:00,080 --> 00:25:04,159 Speaker 1: But he and Kamala have a relationship going back many years, 446 00:25:04,400 --> 00:25:04,800 Speaker 1: I think. 447 00:25:04,880 --> 00:25:06,680 Speaker 3: Actually, I think she and Josh Shapiro do too. 448 00:25:07,000 --> 00:25:08,920 Speaker 1: I think they go back because they were all they 449 00:25:08,920 --> 00:25:11,760 Speaker 1: were ages, and so I think they've known each other 450 00:25:11,800 --> 00:25:14,680 Speaker 1: for a long time. So I hope that she picks 451 00:25:14,760 --> 00:25:18,120 Speaker 1: whoever she feels is just going to go out there 452 00:25:18,320 --> 00:25:18,919 Speaker 1: and kill it. 453 00:25:18,960 --> 00:25:20,639 Speaker 3: And also, here's a question. 454 00:25:20,400 --> 00:25:22,560 Speaker 2: For you, Katie, and then I have one for you. 455 00:25:22,840 --> 00:25:27,040 Speaker 1: Okay, do you think Trump is regretting jd Vance right now? 456 00:25:27,280 --> 00:25:29,760 Speaker 2: I know there have been some articles about that. I 457 00:25:29,800 --> 00:25:33,119 Speaker 2: know that when he gave his first or you know, 458 00:25:33,200 --> 00:25:36,560 Speaker 2: did his first solo rally, it was so boring. It 459 00:25:36,640 --> 00:25:39,000 Speaker 2: was boring, and he made a stupid joke about diet 460 00:25:39,040 --> 00:25:44,320 Speaker 2: coke no diet mountain do diet mountain dew, I do apologize. 461 00:25:44,359 --> 00:25:46,840 Speaker 3: I was so confused. I was like, what does dietet 462 00:25:46,920 --> 00:25:47,760 Speaker 3: mountain do have to. 463 00:25:47,720 --> 00:25:50,280 Speaker 2: Do with I think he's saying, like the Democrats think 464 00:25:50,440 --> 00:25:54,000 Speaker 2: everything is you know, race, you know, has to do 465 00:25:54,080 --> 00:25:58,040 Speaker 2: with race. Everybody was like, what do. 466 00:25:58,080 --> 00:25:58,960 Speaker 3: You know, Katie? 467 00:25:59,000 --> 00:26:02,520 Speaker 1: I do feel like a lot of the Republican's speech writing. 468 00:26:02,560 --> 00:26:04,879 Speaker 1: I noticed this all during the convention, and I noticed 469 00:26:04,880 --> 00:26:07,119 Speaker 1: it in jd Vance's speech the other day in Ohio. 470 00:26:07,600 --> 00:26:11,000 Speaker 1: They're writing in what they think are applause lines, and 471 00:26:11,040 --> 00:26:13,240 Speaker 1: I guarantee you there's an in perendz like hold for 472 00:26:13,280 --> 00:26:15,520 Speaker 1: applause and they're not getting applause, and there's just like 473 00:26:15,560 --> 00:26:17,159 Speaker 1: these weird awkward pause. 474 00:26:16,960 --> 00:26:20,880 Speaker 2: Hopefully he's not saying pause, Well that's true, right, Yeah. 475 00:26:20,880 --> 00:26:23,160 Speaker 2: And that leads me to a question for you, Alyssa, 476 00:26:24,040 --> 00:26:29,120 Speaker 2: do you think that the Biden administration set Kamala Harris 477 00:26:29,240 --> 00:26:34,320 Speaker 2: up for success as a VP? Because I feel like 478 00:26:34,480 --> 00:26:37,359 Speaker 2: they could have done more. I think this whole idea 479 00:26:37,400 --> 00:26:41,080 Speaker 2: of giving her the border was very hard, was ridiculous 480 00:26:41,160 --> 00:26:44,440 Speaker 2: and honestly like really a shitty thing to do. Whoever 481 00:26:44,480 --> 00:26:48,160 Speaker 2: did that. And I also feel and I've said this 482 00:26:48,240 --> 00:26:52,520 Speaker 2: at a couple of dinner parties. I've been at Lady. 483 00:26:52,280 --> 00:26:56,119 Speaker 1: Da Oh you fancy, lady So fancy you're a dinner 484 00:26:56,240 --> 00:26:58,240 Speaker 1: party read from the Hamptons. 485 00:27:00,040 --> 00:27:03,200 Speaker 2: Yeah, I'm very fancy. I feel like Joe Biden's reticence 486 00:27:03,320 --> 00:27:08,560 Speaker 2: to be, you know, upfront with the media or not upfront, 487 00:27:08,600 --> 00:27:12,359 Speaker 2: but to be out there to do interviews also hurt 488 00:27:12,400 --> 00:27:15,680 Speaker 2: her because they had an opportunity, it seems to me, 489 00:27:16,240 --> 00:27:20,320 Speaker 2: to do some joint interviews, joint appearances, to sit with 490 00:27:20,480 --> 00:27:23,800 Speaker 2: network news anchors, to be with the New York Times 491 00:27:23,840 --> 00:27:27,119 Speaker 2: so he could elevate her and prop her up. What 492 00:27:27,320 --> 00:27:31,880 Speaker 2: is your feeling about how they treated her or if 493 00:27:31,920 --> 00:27:35,359 Speaker 2: they could have done more to get her in a 494 00:27:35,400 --> 00:27:39,760 Speaker 2: position where everyone automatically thought of her if anything happened 495 00:27:39,760 --> 00:27:40,439 Speaker 2: to Joe Biden. 496 00:27:40,800 --> 00:27:43,480 Speaker 1: So when they came out of the Gate and gave 497 00:27:43,560 --> 00:27:47,840 Speaker 1: her immigration as her signature issue. I was like sick 498 00:27:47,840 --> 00:27:51,160 Speaker 1: to my stomach for her. There is no person who 499 00:27:51,200 --> 00:27:54,560 Speaker 1: was going to solve immigration, you know, like it was. 500 00:27:55,320 --> 00:28:02,159 Speaker 1: It was such a no upside portfolio for her. And 501 00:28:02,480 --> 00:28:04,359 Speaker 1: I think we're seeing that now. I mean, it's the 502 00:28:04,440 --> 00:28:07,640 Speaker 1: number one attack that the Republicans are coming out with 503 00:28:07,760 --> 00:28:11,520 Speaker 1: in ads on Fox News, you know, And and immigration 504 00:28:11,800 --> 00:28:14,800 Speaker 1: is a very fraud issue right now. So there's resonance, 505 00:28:14,880 --> 00:28:18,640 Speaker 1: you know, there is stickiness to these attacks, and they 506 00:28:18,720 --> 00:28:20,760 Speaker 1: are hard to combat because. 507 00:28:20,480 --> 00:28:21,400 Speaker 3: It's still a problem. 508 00:28:21,560 --> 00:28:26,960 Speaker 2: And she has told me that when we talked, she 509 00:28:26,960 --> 00:28:30,720 Speaker 2: she told me that it was really her was she 510 00:28:30,960 --> 00:28:35,879 Speaker 2: was given the responsibility of understanding the root causes of immigration, 511 00:28:36,200 --> 00:28:40,160 Speaker 2: to look at the Central American countries and what was 512 00:28:40,240 --> 00:28:45,000 Speaker 2: happening there and why so many people were leaving. But nonetheless, 513 00:28:45,120 --> 00:28:47,720 Speaker 2: nobody really makes that distinction there. 514 00:28:47,760 --> 00:28:50,920 Speaker 1: And even I did not understand that distinction until I 515 00:28:50,960 --> 00:28:53,080 Speaker 1: read it in like paragraph twenty of an article the 516 00:28:53,120 --> 00:28:57,000 Speaker 1: other day, right right, And so I think that, unfortunately, 517 00:28:57,400 --> 00:28:59,040 Speaker 1: that is going to be a real thing for her 518 00:28:59,080 --> 00:28:59,680 Speaker 1: to overcome. 519 00:29:00,000 --> 00:29:01,719 Speaker 2: I want to ask you about two other things. Am 520 00:29:01,760 --> 00:29:04,320 Speaker 2: I allowed to just take out cat go ahead. So 521 00:29:05,400 --> 00:29:09,400 Speaker 2: James Carville said. Another thing that may hurt Kamala, but 522 00:29:09,440 --> 00:29:13,480 Speaker 2: I I don't really understand this and I don't necessarily agree, 523 00:29:13,840 --> 00:29:20,600 Speaker 2: is how complicit was she in, you know, not not 524 00:29:20,680 --> 00:29:26,520 Speaker 2: doing anything about Joe Biden's declining health or you know, 525 00:29:27,240 --> 00:29:32,120 Speaker 2: his inability to kind of be completely cojin at all times. 526 00:29:32,160 --> 00:29:34,000 Speaker 2: And I don't even think that's the right word. I 527 00:29:34,040 --> 00:29:37,080 Speaker 2: want to tread light no, no, no, but but I can. 528 00:29:37,200 --> 00:29:39,360 Speaker 1: It is it's the first ad that Maga pat came 529 00:29:39,400 --> 00:29:43,760 Speaker 1: out with, you know. It is this this uh idea 530 00:29:44,440 --> 00:29:47,680 Speaker 1: that she owns everything they did and that she was 531 00:29:47,760 --> 00:29:51,760 Speaker 1: complicit in quotes I'm doing quotes for listeners, complicit in 532 00:29:52,720 --> 00:29:59,320 Speaker 1: hiding whatever has been ailing him. And I think to 533 00:29:59,800 --> 00:30:02,360 Speaker 1: here here would be my point of view on that attack. 534 00:30:02,960 --> 00:30:05,760 Speaker 1: I think the people who want to believe that were 535 00:30:05,800 --> 00:30:08,720 Speaker 1: never going to vote for her anyway, right, That's right. 536 00:30:09,240 --> 00:30:12,280 Speaker 1: And I think that based on just everything we have 537 00:30:12,400 --> 00:30:15,960 Speaker 1: seen in public, it does feel like whatever's been going 538 00:30:15,960 --> 00:30:18,960 Speaker 1: on with the president has happened pretty recently. I agree, 539 00:30:19,000 --> 00:30:21,719 Speaker 1: you know, I don't say that he hasn't shown his 540 00:30:21,800 --> 00:30:24,480 Speaker 1: age over the past three and a half years. Definitely, 541 00:30:24,880 --> 00:30:27,080 Speaker 1: I don't think maybe tripping sometimes is a sign that 542 00:30:27,120 --> 00:30:29,520 Speaker 1: you're not fit to lead. I think that's bullshit, but 543 00:30:30,520 --> 00:30:33,880 Speaker 1: it's it was to me. It was really funny when 544 00:30:33,920 --> 00:30:37,200 Speaker 1: Maga came out with that ad, which is basically, what 545 00:30:37,280 --> 00:30:38,720 Speaker 1: did she know? And when they try to make it 546 00:30:38,720 --> 00:30:42,320 Speaker 1: sound like an episode of Law and Order or like Watergate, totally, 547 00:30:42,760 --> 00:30:45,880 Speaker 1: I thought to myself, they really were caught flat footed, 548 00:30:46,320 --> 00:30:49,000 Speaker 1: Like these are people, Katie, who have been calling for 549 00:30:49,120 --> 00:30:50,720 Speaker 1: Joe Biden, all the Republicans. 550 00:30:51,000 --> 00:30:53,360 Speaker 3: He's not fit. Look at the videos we've made of him. 551 00:30:53,360 --> 00:30:55,400 Speaker 1: He trips, he slurred a word, like first of all, 552 00:30:55,440 --> 00:30:58,440 Speaker 1: Trump has done all the same things, just saying and 553 00:30:59,080 --> 00:31:00,840 Speaker 1: I was like, that's the best they've got. And it 554 00:31:00,880 --> 00:31:03,400 Speaker 1: was like a very cheap looking ad And I was like, okay. 555 00:31:03,320 --> 00:31:06,320 Speaker 2: Well maybe it was slapped together so quickly, right, but 556 00:31:06,920 --> 00:31:12,040 Speaker 2: you know, I know they stopped. I think they stopped 557 00:31:12,120 --> 00:31:16,200 Speaker 2: running anti Biden ads right pretty quickly. Even so they 558 00:31:16,280 --> 00:31:18,680 Speaker 2: must have had some inkling this. It was. 559 00:31:18,800 --> 00:31:20,720 Speaker 1: They had to put something in the can, and let 560 00:31:20,720 --> 00:31:22,479 Speaker 1: me tell you, it came out like something that they 561 00:31:22,480 --> 00:31:24,760 Speaker 1: put together in about an hour to just get out. 562 00:31:24,800 --> 00:31:26,360 Speaker 3: And I think it was only a digital ad. 563 00:31:26,440 --> 00:31:30,280 Speaker 2: So the other question I had for you is how 564 00:31:30,400 --> 00:31:33,840 Speaker 2: much will be made about the turnover and her office 565 00:31:34,000 --> 00:31:36,280 Speaker 2: and what do you know about that? I know that 566 00:31:36,920 --> 00:31:40,040 Speaker 2: there haven't been a lot of people who have stayed 567 00:31:40,680 --> 00:31:44,920 Speaker 2: in the Vice President's office for an extended period of time. Listen, 568 00:31:44,960 --> 00:31:47,160 Speaker 2: I was sort of the Murphy Brown of NBC. I 569 00:31:47,200 --> 00:31:51,440 Speaker 2: had so many assistants during one period of time and 570 00:31:51,920 --> 00:31:54,320 Speaker 2: until I found somebody who's like a sister to me. 571 00:31:54,880 --> 00:31:58,200 Speaker 2: But do you think the Republicans who are going to 572 00:31:58,240 --> 00:32:00,800 Speaker 2: make a big deal out of that or not? Really? 573 00:32:01,080 --> 00:32:03,800 Speaker 1: I think they'll try to, but I think that you know, 574 00:32:03,880 --> 00:32:06,960 Speaker 1: if you turn on cable news right now, you only 575 00:32:07,000 --> 00:32:10,000 Speaker 1: see people who formerly worked for her who are singing 576 00:32:10,000 --> 00:32:13,600 Speaker 1: her praises now. So to me, look, you know how 577 00:32:13,640 --> 00:32:16,320 Speaker 1: fickle DC is. People get into the White House and 578 00:32:16,360 --> 00:32:17,600 Speaker 1: sometimes they can't handle it. 579 00:32:17,720 --> 00:32:18,960 Speaker 3: Katie. It is hard. 580 00:32:19,120 --> 00:32:21,760 Speaker 1: It is a lot of work, and so we don't 581 00:32:21,800 --> 00:32:25,000 Speaker 1: know there there has been rumors of like her turnover, 582 00:32:25,360 --> 00:32:26,640 Speaker 1: but like there's never. 583 00:32:26,960 --> 00:32:28,600 Speaker 3: Been a real story about it. 584 00:32:28,760 --> 00:32:32,480 Speaker 1: So I think that we shall give her the benefit 585 00:32:32,520 --> 00:32:35,120 Speaker 1: of the doubt in this instance and just say that, 586 00:32:35,960 --> 00:32:38,160 Speaker 1: you know, Donald Trump had like no staff left at 587 00:32:38,160 --> 00:32:38,640 Speaker 1: the end of. 588 00:32:38,560 --> 00:32:43,959 Speaker 2: His term, So I mean every time. Every time something 589 00:32:44,040 --> 00:32:48,640 Speaker 2: is suggested, it's like, wait a second, what Like it's 590 00:32:48,640 --> 00:32:51,720 Speaker 2: the ultimate pot calling the kettle black, right, I mean 591 00:32:51,800 --> 00:32:54,400 Speaker 2: it is every time, you know, if you think about 592 00:32:54,440 --> 00:32:59,440 Speaker 2: this whole line of attack, which is very disconcerting to 593 00:32:59,520 --> 00:33:05,000 Speaker 2: me a woman, about Kamala Harris. She's childless, you know, 594 00:33:05,160 --> 00:33:08,640 Speaker 2: all these tropes Kamala Harris slept her way to the top. 595 00:33:08,800 --> 00:33:11,800 Speaker 2: I mean, it is just so obnoxious. 596 00:33:12,040 --> 00:33:14,760 Speaker 3: It's technical misogyny, you know. 597 00:33:14,920 --> 00:33:20,120 Speaker 2: Like, wait a second, first of all, check your facts. Secondly, 598 00:33:21,480 --> 00:33:25,280 Speaker 2: you know, and I don't know, I've seen tweets and 599 00:33:25,360 --> 00:33:28,440 Speaker 2: things that basically say she's not qualified, and I'm like, 600 00:33:29,080 --> 00:33:30,520 Speaker 2: what are you talking about? 601 00:33:30,520 --> 00:33:31,280 Speaker 3: What are you talking about? 602 00:33:31,560 --> 00:33:34,959 Speaker 1: Senator from the largest state, attorney general from the largest 603 00:33:35,000 --> 00:33:38,040 Speaker 1: state by population obviously Alaska's the biggest physically. 604 00:33:38,560 --> 00:33:42,800 Speaker 3: But you know, she has taken people down, you know, 605 00:33:42,880 --> 00:33:43,800 Speaker 3: and it's funny to the. 606 00:33:43,760 --> 00:33:46,360 Speaker 2: Point where it's really upset a lot of progressives by 607 00:33:46,400 --> 00:33:49,200 Speaker 2: the way, which I think is actually ultimately good for 608 00:33:49,240 --> 00:33:50,080 Speaker 2: her candidacy. 609 00:33:51,280 --> 00:33:55,720 Speaker 1: I think that you know, the the in twenty eighteen, 610 00:33:55,800 --> 00:33:58,600 Speaker 1: I think it was she had an ad when she 611 00:33:58,800 --> 00:34:02,080 Speaker 1: was Kamala Harris for the People, and it was you know, 612 00:34:02,360 --> 00:34:06,600 Speaker 1: Trump had a for profit college. She took down the 613 00:34:06,600 --> 00:34:10,719 Speaker 1: for profit colleges. She's a prosecutor, he's a fraudster. Her 614 00:34:11,120 --> 00:34:14,040 Speaker 1: twenty twenty four version of that ad I cannot wait 615 00:34:14,080 --> 00:34:16,680 Speaker 1: to see because he's now like a convicted felon. He's 616 00:34:16,719 --> 00:34:21,040 Speaker 1: been indicted ninety something times. Like I think that the 617 00:34:21,120 --> 00:34:25,560 Speaker 1: Republicans are so scared they're doubling down on this misogyny. 618 00:34:25,600 --> 00:34:26,840 Speaker 3: I mean, look, I have a great one. 619 00:34:26,920 --> 00:34:30,640 Speaker 1: Twenty twenty one, jd Vance said, we are running this 620 00:34:30,760 --> 00:34:33,960 Speaker 1: country by a bunch of childless cat ladies who are 621 00:34:34,160 --> 00:34:37,160 Speaker 1: miserable at their own lives and want to make the 622 00:34:37,200 --> 00:34:38,840 Speaker 1: rest of the country miserable. 623 00:34:39,040 --> 00:34:42,520 Speaker 2: That is so funny because I put on my Instagram 624 00:34:42,600 --> 00:34:47,000 Speaker 2: stories I love Andy Borwitz. Oh yes, the Borowitz Report, 625 00:34:47,239 --> 00:34:51,480 Speaker 2: and his headline was Nation's cats lash out at jd 626 00:34:51,640 --> 00:34:53,840 Speaker 2: Vance A million meow march. 627 00:34:54,320 --> 00:34:56,920 Speaker 1: It was, it was, And he goes on to say 628 00:34:57,160 --> 00:35:00,400 Speaker 1: the whole future of the Democratic Party is controlled by 629 00:35:00,560 --> 00:35:03,239 Speaker 1: people like Kamala Harrison, child childless women. 630 00:35:04,560 --> 00:35:06,920 Speaker 3: JAD do better. 631 00:35:07,320 --> 00:35:09,040 Speaker 1: But you know, the one thing, Katie I was really 632 00:35:09,040 --> 00:35:13,080 Speaker 1: looking forward to seeing her debate jd Vance, I mean 633 00:35:13,200 --> 00:35:18,160 Speaker 1: people are forgetting that because you know and everybody. A 634 00:35:18,160 --> 00:35:20,840 Speaker 1: lot of people will say, well, she was vice president 635 00:35:20,840 --> 00:35:23,759 Speaker 1: and we haven't seen her enough, and you know, Republicans 636 00:35:23,760 --> 00:35:25,920 Speaker 1: and we don't even know what she's been doing. And 637 00:35:25,920 --> 00:35:29,360 Speaker 1: it's like, Okay, the vice president's job is not to 638 00:35:29,480 --> 00:35:32,719 Speaker 1: be seen as the president's the star. You know. The 639 00:35:32,840 --> 00:35:36,600 Speaker 1: vice president in every instance is the backup dancer. And 640 00:35:36,960 --> 00:35:39,680 Speaker 1: so to me, I think that they have all forgotten. 641 00:35:40,120 --> 00:35:44,319 Speaker 1: They should all go back and watch her question Brett 642 00:35:44,400 --> 00:35:48,920 Speaker 1: Kavanaugh during the hearings, because she is ready for Trump. 643 00:35:49,239 --> 00:35:50,880 Speaker 1: And I think that that is the thing that I 644 00:35:51,120 --> 00:35:53,640 Speaker 1: feel most excited about. 645 00:35:53,760 --> 00:35:58,960 Speaker 2: Do you think though? So? Again, in my James Carville interview, 646 00:35:59,040 --> 00:36:01,239 Speaker 2: I was talking to him about that, and as you know, 647 00:36:01,960 --> 00:36:04,759 Speaker 2: Donald Trump has already tried to say, I don't want 648 00:36:04,760 --> 00:36:07,799 Speaker 2: this debate to be on ABC, They're too biased. I 649 00:36:07,840 --> 00:36:12,480 Speaker 2: wanted to be on Fox, you know. And and James 650 00:36:12,520 --> 00:36:15,839 Speaker 2: said he thought Donald Trump is going to pull out 651 00:36:15,840 --> 00:36:18,880 Speaker 2: of the debate. Yeah, And I said, but I said, 652 00:36:18,960 --> 00:36:22,080 Speaker 2: won't that be embarrassing, like I'm too afraid to debate 653 00:36:22,160 --> 00:36:25,279 Speaker 2: Kamala Harris? And he said no, it's very easy to 654 00:36:25,280 --> 00:36:28,600 Speaker 2: pull out of debates. And I was interested to hear 655 00:36:28,719 --> 00:36:29,319 Speaker 2: that is. 656 00:36:29,280 --> 00:36:29,960 Speaker 3: It that easy? 657 00:36:29,960 --> 00:36:31,040 Speaker 2: To pull out of debates. 658 00:36:31,640 --> 00:36:33,800 Speaker 1: It didn't used to be, right, It didn't used to 659 00:36:33,880 --> 00:36:37,319 Speaker 1: be But I think now here's the thing, Katie, is 660 00:36:37,360 --> 00:36:40,520 Speaker 1: that like we have seen by Donald Trump picking jd Vance, 661 00:36:40,640 --> 00:36:43,680 Speaker 1: he wasn't trying to expand his electorate, right, he was 662 00:36:43,719 --> 00:36:44,719 Speaker 1: doubling down on the base. 663 00:36:45,000 --> 00:36:46,400 Speaker 3: The base isn't going to give a shit if he 664 00:36:46,440 --> 00:36:47,080 Speaker 3: doesn't debate her. 665 00:36:47,600 --> 00:36:50,000 Speaker 1: Yeah, we're going to be We're going to tweet about 666 00:36:50,000 --> 00:36:51,920 Speaker 1: it and put it on Instagram, but like they're not 667 00:36:52,000 --> 00:36:56,839 Speaker 1: going to care. And so I hope his ego gets 668 00:36:56,840 --> 00:36:58,520 Speaker 1: the better of him and he ultimately thinks that he 669 00:36:58,520 --> 00:37:01,120 Speaker 1: can beat her and then wants to her. And I 670 00:37:01,160 --> 00:37:03,319 Speaker 1: do think I could be wrong, but I think if 671 00:37:03,360 --> 00:37:05,480 Speaker 1: he was like, I'll only do it on Fox News, 672 00:37:06,080 --> 00:37:06,960 Speaker 1: I bet she does it. 673 00:37:07,800 --> 00:37:10,719 Speaker 2: You know, you think she think she will do it 674 00:37:10,760 --> 00:37:11,240 Speaker 2: on Fox. 675 00:37:11,280 --> 00:37:12,560 Speaker 3: I think she would do it on Fox. 676 00:37:12,640 --> 00:37:15,000 Speaker 2: I guess it would be Brett Baer or someone who's 677 00:37:15,120 --> 00:37:20,840 Speaker 2: not their most partisan you know, red meat anchors moderating 678 00:37:21,000 --> 00:37:21,680 Speaker 2: right right. 679 00:37:21,760 --> 00:37:23,719 Speaker 1: And I think that if you look back over the 680 00:37:23,760 --> 00:37:27,160 Speaker 1: past like five or six years, Bernie Sanders has done 681 00:37:27,200 --> 00:37:30,280 Speaker 1: town halls on Fox News, Pete budage Edge did Fox 682 00:37:30,360 --> 00:37:34,000 Speaker 1: News town halls and they were incredibly successful, and I 683 00:37:34,040 --> 00:37:38,840 Speaker 1: actually thought very compelling because when you go David Pluff 684 00:37:38,840 --> 00:37:40,320 Speaker 1: always used to say, you got to go into the 685 00:37:40,360 --> 00:37:42,279 Speaker 1: belly of the beast, right, you got to show you're 686 00:37:42,280 --> 00:37:45,479 Speaker 1: not afraid. And I think that that would show. I mean, 687 00:37:46,040 --> 00:37:47,920 Speaker 1: I think it would show she's not afraid. So if 688 00:37:47,960 --> 00:37:50,200 Speaker 1: it comes down to that, I personally think she could 689 00:37:50,200 --> 00:37:52,360 Speaker 1: handle it and she should do it. But because I 690 00:37:52,360 --> 00:37:54,560 Speaker 1: think it would be terrible for America to not see 691 00:37:54,560 --> 00:37:55,759 Speaker 1: them to debate. 692 00:37:55,560 --> 00:37:58,520 Speaker 2: I agree, I agree, and I maybe even I think 693 00:37:58,560 --> 00:38:03,240 Speaker 2: if her campaign really wont to show Trump whose boss, 694 00:38:03,280 --> 00:38:06,240 Speaker 2: she could say, that's fine, I'll critivate him on Box 695 00:38:06,360 --> 00:38:07,480 Speaker 2: and then what's he gonna do? 696 00:38:07,840 --> 00:38:10,160 Speaker 3: Right then he's backed into a corner, right. 697 00:38:10,080 --> 00:38:11,959 Speaker 2: Well, then that be awesome. Why don't you tell them 698 00:38:12,160 --> 00:38:13,400 Speaker 2: that what we want to get in there. 699 00:38:13,320 --> 00:38:16,000 Speaker 1: Katie, we're telling them right now. We're telling them right now. 700 00:38:16,239 --> 00:38:19,640 Speaker 1: Alyssa and Katie say, girl, go get it on Box News. 701 00:38:19,800 --> 00:38:22,560 Speaker 3: Yeah you can do it. So Katie, here's another. 702 00:38:22,760 --> 00:38:26,080 Speaker 1: We've been talking about all this for the past like 703 00:38:26,280 --> 00:38:30,799 Speaker 1: three weeks. It has been NonStop breaking news rumors. You 704 00:38:30,840 --> 00:38:33,960 Speaker 1: can't keep up. I mean, honestly, like you know. I 705 00:38:34,040 --> 00:38:35,520 Speaker 1: work with George Stephanopoulos. 706 00:38:35,640 --> 00:38:38,120 Speaker 3: I sent him. I sent him a tweet and I 707 00:38:38,400 --> 00:38:39,920 Speaker 3: tried to retract it. I was like, wait, it's fake. 708 00:38:39,920 --> 00:38:40,279 Speaker 3: It's fake. 709 00:38:40,320 --> 00:38:40,719 Speaker 2: It's fake. 710 00:38:40,800 --> 00:38:42,919 Speaker 3: I didn't mean to send this. It's fake. This isn't real. 711 00:38:43,360 --> 00:38:45,720 Speaker 1: And I think that even for me, you know, people 712 00:38:45,800 --> 00:38:51,480 Speaker 1: like us last election cycle, Twitter had verification. Verification meant 713 00:38:51,480 --> 00:38:53,319 Speaker 1: that you were actually who you said you were, and 714 00:38:53,400 --> 00:38:55,200 Speaker 1: if you were a news organization, you were an actual 715 00:38:55,200 --> 00:38:55,960 Speaker 1: news organization. 716 00:38:56,520 --> 00:38:58,040 Speaker 3: Katie, you're a journalist. 717 00:38:58,320 --> 00:39:02,759 Speaker 1: How are you sifting through the information that's coming in 718 00:39:02,760 --> 00:39:04,799 Speaker 1: at rapid pace? And how would you tell people to 719 00:39:04,840 --> 00:39:07,840 Speaker 1: try to like consume what's happening. 720 00:39:08,800 --> 00:39:12,000 Speaker 2: I mean, I would say three words, alyssa, consider the source. 721 00:39:12,640 --> 00:39:16,719 Speaker 2: And unfortunately it can be time consuming. But you have 722 00:39:16,800 --> 00:39:19,560 Speaker 2: to look at people's profiles. You know. Now, of course 723 00:39:19,600 --> 00:39:23,320 Speaker 2: you said verification. I'm not a huge Twitter person. I didn't. 724 00:39:24,200 --> 00:39:29,400 Speaker 2: I did enjoy being on the platform during President Trump's 725 00:39:29,440 --> 00:39:32,440 Speaker 2: speech because people were being so funny. 726 00:39:33,880 --> 00:39:36,840 Speaker 1: It got back to its origin story, you know, like 727 00:39:36,880 --> 00:39:38,399 Speaker 1: what we originally liked Twitter for. 728 00:39:38,680 --> 00:39:41,439 Speaker 2: And like people that I hadn't talked to for a while. 729 00:39:41,520 --> 00:39:44,880 Speaker 2: It felt like a communal experience, like Michael Beschloss. I 730 00:39:45,000 --> 00:39:49,520 Speaker 2: was tweeting Karen Tumult, TIMULTI and just a bunch of 731 00:39:49,560 --> 00:39:52,920 Speaker 2: people who I've known through the years, and that was 732 00:39:53,040 --> 00:39:55,960 Speaker 2: kind of fun because I was responding to their tweets 733 00:39:56,000 --> 00:40:00,880 Speaker 2: and Larry Sabato, who is from UVA and where I 734 00:40:00,920 --> 00:40:03,840 Speaker 2: went to college, and so that was really fun. But 735 00:40:04,280 --> 00:40:09,920 Speaker 2: I generally would not recommend getting information on X but 736 00:40:10,080 --> 00:40:12,320 Speaker 2: if you do, you have to look at the profile. 737 00:40:12,440 --> 00:40:16,480 Speaker 2: You have to then sometimes google the organization that is 738 00:40:16,520 --> 00:40:20,399 Speaker 2: putting this stuff out. And I remember seeing something, Oh, 739 00:40:20,520 --> 00:40:22,959 Speaker 2: I remember it was Kirsty Ally, who was a big 740 00:40:23,000 --> 00:40:25,800 Speaker 2: Trump supporter, I remember, and she got mad at me 741 00:40:25,920 --> 00:40:28,239 Speaker 2: for something, oh, because I said on Bill Maher that 742 00:40:28,280 --> 00:40:31,320 Speaker 2: I thought a lot of these voters needed to be deprogrammed, 743 00:40:31,400 --> 00:40:34,680 Speaker 2: that they were getting a lot of this information over 744 00:40:34,760 --> 00:40:37,640 Speaker 2: and over again, and you know it starts and by 745 00:40:37,680 --> 00:40:39,359 Speaker 2: the way, I think some people on the left could 746 00:40:39,800 --> 00:40:43,400 Speaker 2: use a little deprogram voting at times. But she got 747 00:40:43,600 --> 00:40:46,919 Speaker 2: she tweeted something nasty about me. Anyway, Then I sort 748 00:40:46,960 --> 00:40:49,240 Speaker 2: of started following her kind of see what she was saying, 749 00:40:49,760 --> 00:40:56,440 Speaker 2: and she retweeted some you know, very you know, official 750 00:40:56,560 --> 00:41:01,279 Speaker 2: looking medical seal with some stuff about abortion that I 751 00:41:01,480 --> 00:41:03,880 Speaker 2: knew was bullshit, and I was like, I can't remember 752 00:41:03,920 --> 00:41:06,399 Speaker 2: specifically what it was, but I was like, wait, why 753 00:41:06,440 --> 00:41:09,320 Speaker 2: are they doing that. That's not accurate, that's not true. 754 00:41:09,680 --> 00:41:13,240 Speaker 2: So then I of course googled the Association of blah 755 00:41:13,239 --> 00:41:16,600 Speaker 2: blah blah Doctors and I was like, who are these people? 756 00:41:16,960 --> 00:41:19,440 Speaker 2: And yes, I look at their website. I mean to 757 00:41:19,600 --> 00:41:26,239 Speaker 2: pro life organization that is promoting anti abortion information. So 758 00:41:27,000 --> 00:41:30,480 Speaker 2: I think you just cannot, you know, unless they're from 759 00:41:30,600 --> 00:41:33,759 Speaker 2: reporters that you know and trust, or The New York 760 00:41:33,800 --> 00:41:38,120 Speaker 2: Times or pod Save America or people like that. You know, 761 00:41:38,320 --> 00:41:42,680 Speaker 2: I just think you you can't get your information that way. 762 00:41:42,800 --> 00:41:47,719 Speaker 2: And I don't. I don't get information really from Facebook 763 00:41:47,880 --> 00:41:51,000 Speaker 2: or from Twitter. I still I'm old fashioned, you know. 764 00:41:51,280 --> 00:41:54,480 Speaker 2: I don't know what I would do without the New 765 00:41:54,560 --> 00:41:57,600 Speaker 2: York Times. And people can criticize certain aspects of it. 766 00:41:58,120 --> 00:42:02,080 Speaker 2: But I also read the Bulwark read. You know, I 767 00:42:02,239 --> 00:42:04,759 Speaker 2: like what Barry Weiss has done, even though I don't 768 00:42:04,760 --> 00:42:06,680 Speaker 2: always agree with some of the stuff in there. I 769 00:42:06,719 --> 00:42:09,960 Speaker 2: want to see what they're saying. And I, for some reason, 770 00:42:12,360 --> 00:42:15,200 Speaker 2: for a while I was getting the Epoch Times. Is 771 00:42:15,239 --> 00:42:16,040 Speaker 2: that what it's called. 772 00:42:16,320 --> 00:42:17,840 Speaker 3: I have no idea I think. 773 00:42:17,640 --> 00:42:23,120 Speaker 2: It's a Chinese owned uber conservative media outlet, Okay, And 774 00:42:24,120 --> 00:42:26,040 Speaker 2: I looked that up and I was like, why am 775 00:42:26,040 --> 00:42:29,279 Speaker 2: I reading this? Because I like to see what everybody's 776 00:42:29,360 --> 00:42:31,959 Speaker 2: saying about everything. That's why my husband and I watch 777 00:42:32,000 --> 00:42:34,680 Speaker 2: Fox News when there's a big news event because we 778 00:42:34,800 --> 00:42:38,480 Speaker 2: want to see how they're framing the conversation. But in terms, 779 00:42:38,560 --> 00:42:40,680 Speaker 2: you just have to be you know what did Si 780 00:42:40,840 --> 00:42:44,759 Speaker 2: Sims say? And educated consumers are best customer. I don't 781 00:42:44,760 --> 00:42:47,040 Speaker 2: know if you ever went to Sims. It's a discount store, 782 00:42:47,120 --> 00:42:51,359 Speaker 2: like remember anyway, And I think that's the case. You 783 00:42:51,480 --> 00:42:56,040 Speaker 2: have to take the time to really not accept anything 784 00:42:56,080 --> 00:42:59,960 Speaker 2: at face value that you're reading online. It's so critically important. 785 00:43:00,280 --> 00:43:03,000 Speaker 1: My old boss, Dennis McDonough, who's Chief of Staff of 786 00:43:03,000 --> 00:43:05,480 Speaker 1: the White House, he always used to say, measure twice, 787 00:43:05,520 --> 00:43:09,160 Speaker 1: cut once, And to me, that's like if I see 788 00:43:09,200 --> 00:43:11,960 Speaker 1: something and I don't know the person, it's the same thing, Katie. 789 00:43:12,040 --> 00:43:14,719 Speaker 1: I go to the profile, I Google, I check the 790 00:43:14,719 --> 00:43:19,080 Speaker 1: website because people are just out there to confuse us. 791 00:43:19,160 --> 00:43:22,359 Speaker 1: And if you and I, who consume so much, have 792 00:43:22,440 --> 00:43:25,160 Speaker 1: to do that. If you're listening and you don't consume 793 00:43:25,200 --> 00:43:26,359 Speaker 1: as much as Katie, and I do. 794 00:43:26,880 --> 00:43:29,600 Speaker 2: You should do it too, But how can you recognize bots? 795 00:43:29,680 --> 00:43:32,000 Speaker 2: That's one thing I don't really know how to do. 796 00:43:32,320 --> 00:43:36,000 Speaker 1: It's to me, if you look, most spots don't have 797 00:43:36,040 --> 00:43:39,040 Speaker 1: many followers. Yeah, you know, it's like they may follow 798 00:43:39,080 --> 00:43:42,439 Speaker 1: a lot of people, but nobody follows them. But that's 799 00:43:42,520 --> 00:43:47,239 Speaker 1: also I just found that X became so negative and 800 00:43:47,360 --> 00:43:50,960 Speaker 1: so toxic and me and actually scary. 801 00:43:51,560 --> 00:43:53,800 Speaker 2: When I rear my head up and I make something 802 00:43:54,000 --> 00:43:57,120 Speaker 2: or something I believe in, Oh my god, the oncoming, I'm. 803 00:43:56,960 --> 00:43:59,040 Speaker 3: Like, woo, no, You've got to dodge it. 804 00:43:59,120 --> 00:44:02,160 Speaker 2: See, And then I get upset and depressed, and I'm like, God, 805 00:44:02,200 --> 00:44:04,160 Speaker 2: who needs this? Who needs these losers? 806 00:44:04,400 --> 00:44:06,640 Speaker 3: Absolutely, So go back. 807 00:44:06,480 --> 00:44:08,440 Speaker 2: In your basement and put your pajamas back on. 808 00:44:08,760 --> 00:44:11,000 Speaker 1: Everybody you heard it here first, all right, we need 809 00:44:11,000 --> 00:44:12,799 Speaker 1: to take a quick break and when we come back, 810 00:44:12,920 --> 00:44:41,000 Speaker 1: Sandy Petty, Welcome back to Hysteria, the podcast for gymnastics fans. 811 00:44:41,680 --> 00:44:42,200 Speaker 3: Katie. 812 00:44:42,480 --> 00:44:45,520 Speaker 1: Let's get into our Sanny Petty, I have something that 813 00:44:45,640 --> 00:44:46,879 Speaker 1: is keeping me sane this week. 814 00:44:47,120 --> 00:44:47,840 Speaker 3: Are you ready? 815 00:44:48,360 --> 00:44:48,600 Speaker 2: Yes? 816 00:44:49,719 --> 00:44:53,280 Speaker 1: I saw and have on good authority, and by good authority, 817 00:44:53,320 --> 00:44:58,400 Speaker 1: I mean People Magazine that Celine Dion may be making 818 00:44:58,480 --> 00:45:03,600 Speaker 1: a comeback. This at the opening ceremonies for the Paris Olympics. 819 00:45:04,719 --> 00:45:05,920 Speaker 3: I could not be more excited. 820 00:45:06,239 --> 00:45:08,279 Speaker 2: Like, have you seen the documentary about her? So? 821 00:45:08,600 --> 00:45:10,879 Speaker 3: I haven't been emotionally stable enough to watch it. 822 00:45:11,200 --> 00:45:13,680 Speaker 1: The news has been too chaotic every time I went 823 00:45:13,719 --> 00:45:14,239 Speaker 1: to put it on. 824 00:45:14,680 --> 00:45:16,400 Speaker 3: I needed something a little more low stakes. 825 00:45:16,400 --> 00:45:19,319 Speaker 1: I actually watched the Indigo Girls documentary It's Only Life 826 00:45:19,360 --> 00:45:21,960 Speaker 1: after All this weekend, which was wonderful. 827 00:45:22,160 --> 00:45:24,279 Speaker 2: Oh okay, I'll add up to my list. 828 00:45:24,440 --> 00:45:25,799 Speaker 1: I know that that there are gonna be a lot 829 00:45:25,800 --> 00:45:28,560 Speaker 1: of peaks and valleys in the Celine Dion documentary. 830 00:45:28,600 --> 00:45:30,879 Speaker 3: So I've waited. But Katie, my. 831 00:45:30,960 --> 00:45:34,160 Speaker 1: Best friend, and I went and saw Selene two weeks 832 00:45:34,200 --> 00:45:37,000 Speaker 1: before COVID and it was. 833 00:45:38,120 --> 00:45:39,200 Speaker 2: Did she do a lot of this? 834 00:45:39,400 --> 00:45:40,359 Speaker 3: Did everything? 835 00:45:40,760 --> 00:45:40,840 Speaker 4: You? 836 00:45:40,840 --> 00:45:42,080 Speaker 2: Weren't you in Las Vegas? 837 00:45:42,200 --> 00:45:45,120 Speaker 1: No, we were at Barclays in Brooklyn. Oh wow, it 838 00:45:45,320 --> 00:45:47,160 Speaker 1: was extraordinary. 839 00:45:47,320 --> 00:45:48,560 Speaker 2: Can I one up you on that? 840 00:45:48,920 --> 00:45:49,640 Speaker 3: Of course? 841 00:45:50,440 --> 00:45:55,640 Speaker 2: I did the first American interview of Selene Dion when 842 00:45:55,680 --> 00:45:58,960 Speaker 2: she came to the Today's show Studio Stop and she 843 00:45:59,640 --> 00:46:02,120 Speaker 2: I think it was Christmas time. If I recall, I 844 00:46:02,280 --> 00:46:05,080 Speaker 2: remember exactly what she was wearing. She was wearing like 845 00:46:05,120 --> 00:46:10,520 Speaker 2: a almost maroon kind of boat neck dress, and she 846 00:46:11,120 --> 00:46:14,800 Speaker 2: and Peebo Bryson sang the theme song to Beauty and 847 00:46:14,800 --> 00:46:17,400 Speaker 2: the Beauty and the Beast and it was so beautiful. 848 00:46:17,440 --> 00:46:19,680 Speaker 2: You should google it. I think I was on YouTube 849 00:46:20,040 --> 00:46:23,520 Speaker 2: and I marveled it when I rewatched it. Our directors 850 00:46:23,960 --> 00:46:25,719 Speaker 2: was so good at the time. I don't know if 851 00:46:25,719 --> 00:46:28,320 Speaker 2: it was Bucky or Joe. We had two different directors 852 00:46:28,360 --> 00:46:31,239 Speaker 2: when I was there, but they were putting scenes from 853 00:46:31,280 --> 00:46:34,320 Speaker 2: the movie while they were singing, and I was like wow, 854 00:46:34,880 --> 00:46:38,239 Speaker 2: and she was, you know, very nervous. I don't think 855 00:46:38,320 --> 00:46:41,080 Speaker 2: she's spoken a ton of English. Back then she was 856 00:46:41,320 --> 00:46:45,120 Speaker 2: very young and it was such a treat and to 857 00:46:45,239 --> 00:46:50,080 Speaker 2: see what she's become is really incredible. So what's the concert? 858 00:46:50,200 --> 00:46:52,600 Speaker 2: Everything you dreamed it would be in more It. 859 00:46:52,640 --> 00:46:57,319 Speaker 1: Was okay, first a million a million costume changes, but 860 00:46:57,360 --> 00:47:00,000 Speaker 1: the best was I love a concert when the fans 861 00:47:00,320 --> 00:47:03,120 Speaker 1: come to play, Like I know, there's Taylor Swift and 862 00:47:03,160 --> 00:47:07,520 Speaker 1: Beyonce and everything. People came to Selene dion in. The 863 00:47:07,600 --> 00:47:10,840 Speaker 1: women who were one section over from us had matching 864 00:47:11,000 --> 00:47:15,480 Speaker 1: sequin bomber jackets, and they had choreography to about fifty 865 00:47:15,520 --> 00:47:18,560 Speaker 1: percent of the songs and Cara and I are watching it, 866 00:47:18,600 --> 00:47:21,200 Speaker 1: and we were just like half watching Selene and half 867 00:47:21,239 --> 00:47:23,880 Speaker 1: watching the women at the other end, because it was 868 00:47:24,400 --> 00:47:27,600 Speaker 1: I just loves like a religious experience. It was it 869 00:47:27,640 --> 00:47:30,480 Speaker 1: was like it was it had a revival sense to Yeah. 870 00:47:30,520 --> 00:47:33,400 Speaker 1: And also I just love watching people, which is kind 871 00:47:33,400 --> 00:47:35,839 Speaker 1: of also why I'm excited for the Olympics. I love 872 00:47:35,880 --> 00:47:39,400 Speaker 1: watching people experience joy and excellence like it is. It 873 00:47:39,520 --> 00:47:43,600 Speaker 1: is contagious, and so to me that is I hope 874 00:47:43,600 --> 00:47:45,719 Speaker 1: that the rumors are true and that she will be 875 00:47:45,760 --> 00:47:48,759 Speaker 1: there on Friday, because I will be watching, I will 876 00:47:48,800 --> 00:47:49,320 Speaker 1: be watching. 877 00:47:49,760 --> 00:47:52,759 Speaker 2: I'm going to be watching too. It's interesting because I 878 00:47:52,800 --> 00:47:56,000 Speaker 2: hosted the opening ceremonies a few times when I was 879 00:47:56,040 --> 00:48:01,080 Speaker 2: at MBC. We haven't you done well? I have skydived, 880 00:48:02,120 --> 00:48:06,640 Speaker 2: will you ever? I haven't slept with George Clooney. There 881 00:48:06,640 --> 00:48:08,640 Speaker 2: are a lot of things I haven't done. Melissa all right, 882 00:48:08,640 --> 00:48:13,600 Speaker 2: But anyway, but it's a really fun thing. And you know, 883 00:48:13,719 --> 00:48:17,760 Speaker 2: you see all the parade of Nations and Bob Costas 884 00:48:17,800 --> 00:48:21,400 Speaker 2: and I would have this running joke. I'd say, Bob, 885 00:48:21,520 --> 00:48:25,080 Speaker 2: do you know what what country is coming up next? 886 00:48:25,160 --> 00:48:27,640 Speaker 2: And you'd say, no, Katie, what country? And i'd say, 887 00:48:29,440 --> 00:48:35,000 Speaker 2: you bet, Djibooty. I know it's kind of a dad joke, 888 00:48:35,120 --> 00:48:36,160 Speaker 2: isn't it anyway? 889 00:48:36,239 --> 00:48:36,680 Speaker 3: Dad joke? 890 00:48:36,760 --> 00:48:39,720 Speaker 2: But I think I think Kelly Clarkson and Jimmy Fallon 891 00:48:39,760 --> 00:48:41,799 Speaker 2: are hosting it. But I could be wrong. Can we 892 00:48:41,840 --> 00:48:42,399 Speaker 2: google that. 893 00:48:42,719 --> 00:48:44,560 Speaker 3: We'll find out. Well, don't we'll find out. 894 00:48:44,600 --> 00:48:49,000 Speaker 1: But did you see they have had Snoop Dogg commentating 895 00:48:49,200 --> 00:48:50,520 Speaker 1: on track and field? 896 00:48:50,800 --> 00:48:51,680 Speaker 3: It's really funny? 897 00:48:51,920 --> 00:48:52,600 Speaker 2: Is it funny? 898 00:48:52,680 --> 00:48:55,800 Speaker 3: It is funny? I really I hope that. I feel 899 00:48:55,800 --> 00:48:57,640 Speaker 3: like the world could use the Olympics right now. 900 00:48:57,880 --> 00:49:03,720 Speaker 2: I totally agree, but I hope it doesn't become too silly. 901 00:49:04,600 --> 00:49:07,840 Speaker 2: You know. Oh, I don't know. Is Snoop really knowledgeable 902 00:49:07,880 --> 00:49:09,280 Speaker 2: about track and field events? 903 00:49:09,360 --> 00:49:12,080 Speaker 1: He like enough and I don't know if he's doing 904 00:49:12,080 --> 00:49:15,160 Speaker 1: the actual Olympics or only did the trials. But it 905 00:49:15,200 --> 00:49:17,960 Speaker 1: was enjoyable, Okay, I know the French And the other 906 00:49:18,000 --> 00:49:20,239 Speaker 1: thing is, I don't know if you have seen the 907 00:49:20,400 --> 00:49:25,120 Speaker 1: French have brought in Louis Vuitton, like the outfits, the uniforms, 908 00:49:25,280 --> 00:49:30,080 Speaker 1: the trays that the medals are presented on extraordinary. It's 909 00:49:30,120 --> 00:49:32,520 Speaker 1: going to be sports and fashion and all the things. 910 00:49:32,560 --> 00:49:34,600 Speaker 2: And I think it's going to turn the world into 911 00:49:34,640 --> 00:49:38,840 Speaker 2: Franco files, don't you think for a little bit? Maybe maybe? 912 00:49:38,920 --> 00:49:42,640 Speaker 2: I mean, I love Paris, and I'm actually jealous that 913 00:49:42,719 --> 00:49:45,000 Speaker 2: I'm not covering this Olympics. I think I did eight 914 00:49:45,040 --> 00:49:48,160 Speaker 2: of them during my tenure, and honestly, I got a 915 00:49:48,160 --> 00:49:51,040 Speaker 2: little tired of him. But I am. I think this 916 00:49:51,120 --> 00:49:54,800 Speaker 2: is going to be pretty extraordinary. And obviously, Simone Biles 917 00:49:55,640 --> 00:49:59,480 Speaker 2: so Celine Dion, the prospect of firs singing is giving 918 00:49:59,520 --> 00:50:00,160 Speaker 2: you joy? 919 00:50:00,239 --> 00:50:01,320 Speaker 3: What's giving you joy? 920 00:50:01,600 --> 00:50:03,359 Speaker 2: Well, gosh, I have a lot of things that are 921 00:50:03,360 --> 00:50:07,319 Speaker 2: giving me joy right now. My vegetable garden is giving 922 00:50:07,400 --> 00:50:11,720 Speaker 2: me joy because it's starting to be yes tomato season. 923 00:50:12,040 --> 00:50:14,399 Speaker 2: I've got a lot of sun golds, which I love. 924 00:50:14,760 --> 00:50:17,080 Speaker 3: Your hydranges are banging. 925 00:50:16,920 --> 00:50:20,440 Speaker 2: My hydrangas, and my dahlias. I have dahlias the size 926 00:50:20,480 --> 00:50:25,120 Speaker 2: of my head. So my table out here it looks 927 00:50:25,160 --> 00:50:29,600 Speaker 2: so beautiful. It's just bursting with color and flowers and beautiful. 928 00:50:30,040 --> 00:50:33,319 Speaker 2: I mean, it's just I feel so lucky. And I 929 00:50:33,320 --> 00:50:37,160 Speaker 2: don't know whether it's getting older, but I love flowers. 930 00:50:37,200 --> 00:50:39,920 Speaker 2: They give me so much pleasure and so much joy. 931 00:50:40,360 --> 00:50:43,600 Speaker 2: I love just looking at single blossoms, like the beauty 932 00:50:43,640 --> 00:50:48,200 Speaker 2: and perfections, perfection of a single a single flower. 933 00:50:48,640 --> 00:50:50,880 Speaker 1: It's so funny you say that, because in the summer 934 00:50:51,480 --> 00:50:54,680 Speaker 1: I will only put flowers in vases that are all 935 00:50:54,719 --> 00:50:58,680 Speaker 1: the same. Yeah, you know, like I don't want a bouquet. 936 00:50:58,960 --> 00:51:01,200 Speaker 1: I just want my you know like that. 937 00:51:01,200 --> 00:51:04,440 Speaker 2: I agree, I agree. But anyway, so that's giving me joy. 938 00:51:05,080 --> 00:51:07,920 Speaker 2: And I'm reading a book speaking of flowers, and I 939 00:51:07,960 --> 00:51:10,759 Speaker 2: wanted to give this author a shout out. Great she 940 00:51:10,880 --> 00:51:13,279 Speaker 2: gave it to me at the Aspen Ideas Festival. We 941 00:51:13,360 --> 00:51:16,040 Speaker 2: have a mutual friend. She lives in Connecticut. It's called 942 00:51:16,120 --> 00:51:18,960 Speaker 2: in Lieu of Flowers, A Conversation for the Living, and 943 00:51:19,320 --> 00:51:22,920 Speaker 2: the author is Nancy Cobb. And it's a beautiful book, 944 00:51:24,320 --> 00:51:27,600 Speaker 2: really talking about death and dying and loss, and it 945 00:51:27,680 --> 00:51:32,000 Speaker 2: sounds really depressing, but it's actually really beautiful. And I'm 946 00:51:32,040 --> 00:51:37,800 Speaker 2: a firm believer that we have to normalize conversations about 947 00:51:37,840 --> 00:51:43,640 Speaker 2: death and dying and be able, as just humanity in general, 948 00:51:43,719 --> 00:51:48,960 Speaker 2: to be able to have discussions about those things, because 949 00:51:49,400 --> 00:51:53,320 Speaker 2: I think they make everyone so uncomfortable. And another beautiful 950 00:51:53,360 --> 00:51:57,279 Speaker 2: book I read, I think about six months ago, is 951 00:51:57,320 --> 00:52:00,600 Speaker 2: called Kayak Morning, and it's by Roger Rosenblack and I 952 00:52:00,680 --> 00:52:05,680 Speaker 2: love Roger Rosenblatt. He's a beautiful writer. But you know, 953 00:52:05,800 --> 00:52:08,880 Speaker 2: sometimes it's nice to read books that aren't like beach 954 00:52:08,960 --> 00:52:13,120 Speaker 2: reads or even historical books. I get sent a lot 955 00:52:13,120 --> 00:52:18,239 Speaker 2: of books, and sometimes it's just nice to read a 956 00:52:18,280 --> 00:52:23,840 Speaker 2: book that's really poetic and just touches your soul in 957 00:52:23,880 --> 00:52:28,400 Speaker 2: a way. And those two books I think have touched me. 958 00:52:28,920 --> 00:52:32,759 Speaker 3: That's amazing. The end, the end, aren't Katie? Thank you 959 00:52:32,840 --> 00:52:33,799 Speaker 3: for joining us. 960 00:52:33,880 --> 00:52:36,919 Speaker 2: Oh I'm so sad. This is it, Alyssa. I could 961 00:52:36,920 --> 00:52:38,960 Speaker 2: talk to you all day about everything. 962 00:52:39,120 --> 00:52:40,280 Speaker 3: Back next week. 963 00:52:40,560 --> 00:52:44,520 Speaker 1: Okay, we're not done, so thank you Katie Kirk, who, surprise, 964 00:52:44,840 --> 00:52:47,120 Speaker 1: will also be co hosting with me next week, so 965 00:52:47,160 --> 00:52:52,880 Speaker 1: we'll be back then with an all new Hysteria. 966 00:52:56,600 --> 00:52:59,280 Speaker 4: Don't forget to follow us at Crooked Media on ig, Twitter, 967 00:52:59,320 --> 00:53:02,440 Speaker 4: and TikTok's. Subscribe to Hysteria on YouTube for access to 968 00:53:02,560 --> 00:53:05,840 Speaker 4: video versions of your favorite segments and other exclusive content, 969 00:53:06,160 --> 00:53:08,800 Speaker 4: and if you're as opinionated as we are, consider dropping 970 00:53:08,880 --> 00:53:10,000 Speaker 4: us a nice review. 971 00:53:10,239 --> 00:53:14,000 Speaker 3: Hysteria is a Crooked Media production. Caroline Reston is our 972 00:53:14,040 --> 00:53:14,840 Speaker 3: senior producer. 973 00:53:14,920 --> 00:53:18,279 Speaker 4: Our executive producer is me Aaron Ryan and Alyssa Master 974 00:53:18,400 --> 00:53:22,560 Speaker 4: Monico is our co producer. Fiona Pastana is our associate producer. 975 00:53:23,040 --> 00:53:25,920 Speaker 4: The show is engineered and edited by Jordan Cantor. We 976 00:53:26,000 --> 00:53:29,400 Speaker 4: get audio support from Kyle Seglund and Charlotte Landis. Our 977 00:53:29,480 --> 00:53:33,600 Speaker 4: video producers are Rachel Gaieski and Megan Patzel, and thank 978 00:53:33,640 --> 00:53:36,880 Speaker 4: you to Julia beach Awa Oglate, Adia Hill and David 979 00:53:36,920 --> 00:53:50,239 Speaker 4: Toles for production support every week