1 00:00:01,320 --> 00:00:04,240 Speaker 1: Welcome to Stuff You Missed in History Class, a production 2 00:00:04,400 --> 00:00:14,480 Speaker 1: of iHeartRadio Happy Friday. I'm Tracy V. Wilson and I'm 3 00:00:14,520 --> 00:00:18,160 Speaker 1: Holly Friedy. We talked about Mary Golda Ross this week. 4 00:00:18,440 --> 00:00:21,880 Speaker 1: Yes pros and cons to knowing so little about the 5 00:00:21,880 --> 00:00:28,320 Speaker 1: details of her work as a mathematician and aerospace engineer. Cons. 6 00:00:29,560 --> 00:00:31,920 Speaker 1: I felt like we were a little thin on details 7 00:00:31,960 --> 00:00:36,199 Speaker 1: to include in the episode. That's the tricky bit prose. 8 00:00:36,800 --> 00:00:39,479 Speaker 1: I did not have to figure out how to explain 9 00:00:39,760 --> 00:00:45,960 Speaker 1: incredibly complex mathematics and engineering stuff, right, Those are always 10 00:00:46,000 --> 00:00:48,960 Speaker 1: tricky A heech for me. Yeah, there's I did. I 11 00:00:49,040 --> 00:00:54,120 Speaker 1: never took an engineering class. Aside from my arithmetic difficulties 12 00:00:54,160 --> 00:00:56,640 Speaker 1: that we have talked about. Once I got into mathematics 13 00:00:56,640 --> 00:01:01,200 Speaker 1: that was more about like geometry and equations and stuff. 14 00:01:01,240 --> 00:01:03,320 Speaker 1: I I liked it a lot more than I did 15 00:01:03,360 --> 00:01:06,200 Speaker 1: when I was a kid, and I did pretty well 16 00:01:06,280 --> 00:01:11,520 Speaker 1: in classes like astronomy and physics and chemistry. But there's 17 00:01:11,560 --> 00:01:14,200 Speaker 1: like a ceiling. I get to a point where I'm like, 18 00:01:14,200 --> 00:01:17,160 Speaker 1: I don't understand this anymore. Yeah. I understood up until 19 00:01:17,160 --> 00:01:20,040 Speaker 1: this moment, and now I have no idea what's happening. 20 00:01:21,240 --> 00:01:26,200 Speaker 1: It's challenging I can't remember if we talked about this 21 00:01:26,319 --> 00:01:29,720 Speaker 1: when we talked about in the high episode, Holly, have 22 00:01:29,800 --> 00:01:32,520 Speaker 1: you been to the Museum of the American Indian in Washington, 23 00:01:32,600 --> 00:01:36,959 Speaker 1: d C. I feel embarrassed to tell you I'm not sure. Okay, 24 00:01:37,120 --> 00:01:39,320 Speaker 1: I mean, there's a lot of museums in Washington, d C. 25 00:01:39,840 --> 00:01:43,600 Speaker 1: I know it's recent enough that I should know, but 26 00:01:43,680 --> 00:01:46,000 Speaker 1: I go to a lot of museums, and my brain 27 00:01:46,120 --> 00:01:48,240 Speaker 1: is a little scrambled from a lot of travel in 28 00:01:48,240 --> 00:01:52,240 Speaker 1: the last several months, and I'm like, I'm not sure 29 00:01:52,320 --> 00:01:54,440 Speaker 1: if I have a false memory of this or not. 30 00:01:54,560 --> 00:01:58,600 Speaker 1: Oh sure, if I did, it was a brief run 31 00:01:58,680 --> 00:02:01,280 Speaker 1: through and not like a law leisurely day because then 32 00:02:01,320 --> 00:02:05,200 Speaker 1: it would impress more memory upon me. Yeah. Yeah, And 33 00:02:05,240 --> 00:02:07,440 Speaker 1: there have been a couple days where I was there 34 00:02:07,640 --> 00:02:10,480 Speaker 1: in Washington, d C. And buzz through three or four 35 00:02:10,560 --> 00:02:13,280 Speaker 1: museums in a day. Oh yeah, they all of them 36 00:02:13,320 --> 00:02:16,880 Speaker 1: get short shrift in that situation. But yeah. So the 37 00:02:16,960 --> 00:02:19,280 Speaker 1: company that we work for used to be owned I'm 38 00:02:19,360 --> 00:02:22,560 Speaker 1: saying this for listeners benefit used to be owned by Discovery, 39 00:02:22,880 --> 00:02:25,840 Speaker 1: and Discovery's headquarters were in Silver Spring, Maryland, which is 40 00:02:25,840 --> 00:02:28,639 Speaker 1: effectively next to Washington, d C. And so when I 41 00:02:28,639 --> 00:02:32,720 Speaker 1: would need to go there for work, I often would like, 42 00:02:32,760 --> 00:02:35,440 Speaker 1: if I needed to be there Monday, Tuesday, and Wednesday, 43 00:02:35,520 --> 00:02:38,280 Speaker 1: I would fly in on Friday, and I would spend 44 00:02:38,320 --> 00:02:41,799 Speaker 1: Saturday and Sunday going to museums and stuff. And one 45 00:02:41,840 --> 00:02:44,359 Speaker 1: of the times that I did this, the Museum of 46 00:02:44,400 --> 00:02:46,600 Speaker 1: the American Indian was one of the places that I 47 00:02:46,639 --> 00:02:49,200 Speaker 1: went to, and I think I also went a second 48 00:02:49,320 --> 00:02:52,160 Speaker 1: time one time when you and I were there for 49 00:02:52,240 --> 00:02:54,880 Speaker 1: a live show, which would have been more recent. It 50 00:02:54,960 --> 00:02:59,080 Speaker 1: is one of my favorite of the Smithsonian museums. I 51 00:02:59,200 --> 00:03:03,120 Speaker 1: have seen exhibits there that are really cool. There was 52 00:03:03,200 --> 00:03:06,320 Speaker 1: one that was called up Where We Belong, and it 53 00:03:06,520 --> 00:03:12,640 Speaker 1: was about Indigenous people's influence on pop culture. And that 54 00:03:12,680 --> 00:03:16,880 Speaker 1: one had an incredibly cool audio tour that went along 55 00:03:16,880 --> 00:03:19,560 Speaker 1: with it that was a lot of music by Indigenous 56 00:03:19,600 --> 00:03:22,160 Speaker 1: recording artists. There's a thing that I think is part 57 00:03:22,160 --> 00:03:25,480 Speaker 1: of the permanent collection that's all about the use of 58 00:03:25,960 --> 00:03:30,440 Speaker 1: Indigenous imagery in advertising. Oh yeah. Things that I've seen 59 00:03:30,480 --> 00:03:33,800 Speaker 1: at that museum have wound up on the list for 60 00:03:33,880 --> 00:03:36,520 Speaker 1: episodes of the show, some of which this is. I mean, 61 00:03:36,560 --> 00:03:39,360 Speaker 1: we've talked about how long our shortlists are I've got 62 00:03:39,400 --> 00:03:42,440 Speaker 1: stuff from visits to that museum from years ago that 63 00:03:42,520 --> 00:03:45,520 Speaker 1: are still sitting on my to do list waiting to 64 00:03:45,560 --> 00:03:48,640 Speaker 1: be done at some point. And then, in addition to 65 00:03:48,880 --> 00:03:53,360 Speaker 1: how great I think the exhibits in the museum are, 66 00:03:54,760 --> 00:03:59,320 Speaker 1: the restaurant. Oh, I did not go to the restaurant. Yeah, 67 00:03:59,360 --> 00:04:02,680 Speaker 1: so it is. It is one of my favorite restaurants 68 00:04:02,880 --> 00:04:05,120 Speaker 1: on the National Mall. I think it might be. It's 69 00:04:05,160 --> 00:04:06,960 Speaker 1: hard to say because there are ones that have I 70 00:04:07,000 --> 00:04:09,000 Speaker 1: have less of an experience with. But for a while 71 00:04:09,040 --> 00:04:10,800 Speaker 1: I was like, this is my favorite place to eat 72 00:04:11,320 --> 00:04:16,400 Speaker 1: on the National Mall. It is indigenous inspired cuisines, and 73 00:04:16,440 --> 00:04:18,880 Speaker 1: they're different stations that you can go to that have 74 00:04:19,040 --> 00:04:24,240 Speaker 1: indigenous inspired cuisine from different parts of the Americas. All 75 00:04:24,279 --> 00:04:28,640 Speaker 1: of it really really delicious. The time I think this 76 00:04:28,720 --> 00:04:31,000 Speaker 1: is the time that I was there, when we were 77 00:04:31,040 --> 00:04:33,760 Speaker 1: there for a live show. I had gone to the 78 00:04:33,839 --> 00:04:36,320 Speaker 1: Museum of the American Indian I had looked at all 79 00:04:36,360 --> 00:04:39,640 Speaker 1: of the you know, the the temporary exhibits that I 80 00:04:39,640 --> 00:04:42,200 Speaker 1: had not seen yet, and then I had lunch in 81 00:04:42,279 --> 00:04:45,200 Speaker 1: the restaurant, and then I went to the National Museum 82 00:04:45,240 --> 00:04:48,760 Speaker 1: of African American History and Culture, which was newly opened 83 00:04:48,800 --> 00:04:53,120 Speaker 1: at that point, and I basically went and had a 84 00:04:53,200 --> 00:04:58,280 Speaker 1: second lunch at that restaurant, which was also really good one. 85 00:04:58,400 --> 00:05:03,840 Speaker 1: So yeah, anyway, the Smithsonian Museums, we have already talked 86 00:05:03,880 --> 00:05:09,000 Speaker 1: about being angry and upset about the way the Executive 87 00:05:09,000 --> 00:05:13,520 Speaker 1: Branch just treating the Smithsonian Museums. And then of course 88 00:05:13,640 --> 00:05:17,880 Speaker 1: at the moment that we are recording this, the government 89 00:05:18,120 --> 00:05:20,640 Speaker 1: is still shut down and so all of them are 90 00:05:20,640 --> 00:05:25,200 Speaker 1: temporarily closed, which is also upsetting. Yeah, other stuff about 91 00:05:25,200 --> 00:05:29,799 Speaker 1: the episode, this appearance that she did that Mary Golda 92 00:05:29,880 --> 00:05:34,000 Speaker 1: Ross did on What's My Line? Uh huh. At first 93 00:05:34,080 --> 00:05:38,080 Speaker 1: I thought this might have been maybe nervousness about being 94 00:05:38,160 --> 00:05:43,560 Speaker 1: on television, but then I read other accounts of friends 95 00:05:43,560 --> 00:05:45,839 Speaker 1: of hers that described her this way. She was so 96 00:05:45,839 --> 00:05:50,160 Speaker 1: soft spoken. Her voice was just so soft and gentle 97 00:05:51,080 --> 00:05:53,919 Speaker 1: that the first thing that she said when she was 98 00:05:53,920 --> 00:05:56,120 Speaker 1: sort of introducing herself on that show, I was like, 99 00:05:57,279 --> 00:05:59,520 Speaker 1: I feel like I need to listen more carefully whenever 100 00:05:59,600 --> 00:06:04,840 Speaker 1: you're talking leaning towards your screen. Yeah, but yeah, other 101 00:06:04,880 --> 00:06:08,320 Speaker 1: people described her similarly. There was also a quote from 102 00:06:08,320 --> 00:06:13,640 Speaker 1: doctor Norbert Hill, who I think spoke at her funeral. 103 00:06:13,720 --> 00:06:16,760 Speaker 1: I had a hard time getting details about that. I 104 00:06:16,800 --> 00:06:18,720 Speaker 1: did find some write ups of it, but not like 105 00:06:18,760 --> 00:06:21,640 Speaker 1: a you know, full order of events of the day. 106 00:06:22,279 --> 00:06:24,400 Speaker 1: But this is a quote that was sort of relevant 107 00:06:24,440 --> 00:06:27,560 Speaker 1: but not directly about her that I saved for this 108 00:06:27,680 --> 00:06:30,839 Speaker 1: behind the scenes. And so he said, quote, We've had 109 00:06:30,839 --> 00:06:34,760 Speaker 1: indigenous engineers since time immemorial. We were able to build 110 00:06:34,800 --> 00:06:37,760 Speaker 1: things and make things, and we got amnesia about it 111 00:06:37,920 --> 00:06:41,400 Speaker 1: about who we are as a people building tepees and canoes, 112 00:06:41,480 --> 00:06:45,680 Speaker 1: the snowshoe and irrigation systems in Arizona. There are certainly 113 00:06:45,680 --> 00:06:48,919 Speaker 1: a lot of contributions that the Cherokees have made. We've 114 00:06:48,960 --> 00:06:51,920 Speaker 1: lost that in the narrative, the ability to say you're 115 00:06:52,040 --> 00:06:56,560 Speaker 1: a modern day engineer just like your ancestors. But I 116 00:06:56,600 --> 00:07:00,840 Speaker 1: love that. So the discussion of the haar dress in 117 00:07:00,880 --> 00:07:05,440 Speaker 1: this immediately made me think of a very popular style 118 00:07:05,480 --> 00:07:09,840 Speaker 1: of dress that is still made like among retro seamstresses, 119 00:07:09,960 --> 00:07:14,240 Speaker 1: called a patio dress. Okay, it was originally not called 120 00:07:14,240 --> 00:07:18,760 Speaker 1: a patio dress. It was called by an outdated, no 121 00:07:18,840 --> 00:07:23,800 Speaker 1: longer acceptable term for an indigenous woman. And it's interesting 122 00:07:23,920 --> 00:07:28,600 Speaker 1: because looking at pictures of tear dresses, they look very similar. 123 00:07:29,240 --> 00:07:32,360 Speaker 1: And I ended up in my own little side quest 124 00:07:32,440 --> 00:07:36,640 Speaker 1: rabbit hole of Like, are patio dresses, which are sometimes 125 00:07:36,640 --> 00:07:39,880 Speaker 1: also called fiesta dresses depending on where you're at and 126 00:07:41,080 --> 00:07:43,840 Speaker 1: what pattern you're using. I'm like, were those based on 127 00:07:44,040 --> 00:07:48,360 Speaker 1: these but they actually predate tear dresses, but they're also 128 00:07:48,520 --> 00:07:52,080 Speaker 1: based on older indigenous garments. So I feel like there's 129 00:07:52,120 --> 00:07:57,120 Speaker 1: this through line across multiple tribes and cultures trying to 130 00:07:57,160 --> 00:08:02,080 Speaker 1: replicate dresses that some sources will even tell you the 131 00:08:02,240 --> 00:08:08,480 Speaker 1: dresses that were being used as inspiration for patio dresses 132 00:08:09,280 --> 00:08:13,400 Speaker 1: were based on Indigenous dresses that were actually based on 133 00:08:14,120 --> 00:08:18,280 Speaker 1: European dresses, and so it becomes this circle of like, 134 00:08:18,560 --> 00:08:23,560 Speaker 1: I don't know at the beginning of this style exits, right, Yeah, Well, 135 00:08:23,600 --> 00:08:27,000 Speaker 1: and that was part of what they were challenged by 136 00:08:27,360 --> 00:08:32,839 Speaker 1: when they were trying to create something that felt appropriate, 137 00:08:33,080 --> 00:08:37,880 Speaker 1: as like Cherokee traditional dress, because there are indigenous nations 138 00:08:38,280 --> 00:08:42,560 Speaker 1: that do have a culturally specific style of clothing that 139 00:08:42,720 --> 00:08:46,280 Speaker 1: was being worn prior to the arrival of Europeans. Yeah, 140 00:08:46,320 --> 00:08:49,960 Speaker 1: and the Cherokee also had some ways of making netting 141 00:08:50,000 --> 00:08:53,079 Speaker 1: and beating and things like that that were culturally specific. 142 00:08:53,120 --> 00:08:56,240 Speaker 1: But like when it came to garments that people were wearing, 143 00:08:57,320 --> 00:09:00,840 Speaker 1: the way that it was explained by the Cherokee writers 144 00:09:00,840 --> 00:09:02,840 Speaker 1: that I read who were talking about the creation of 145 00:09:02,840 --> 00:09:05,880 Speaker 1: the stress like this, it was like you're making a 146 00:09:05,920 --> 00:09:08,199 Speaker 1: garment out of the skins of the animal that you're 147 00:09:08,240 --> 00:09:11,040 Speaker 1: also using the meat from, and it just it was 148 00:09:11,120 --> 00:09:14,400 Speaker 1: not something that was like, this is a Cherokee method 149 00:09:14,440 --> 00:09:17,920 Speaker 1: of making these coverings for your body. Right, and then 150 00:09:18,000 --> 00:09:21,520 Speaker 1: once trade goods from Europe were introduced, a lot of 151 00:09:21,559 --> 00:09:26,040 Speaker 1: people started wearing things that were very similar to, you know, 152 00:09:26,080 --> 00:09:31,440 Speaker 1: what the European people were wearing. And so it felt 153 00:09:31,480 --> 00:09:34,959 Speaker 1: culturally appropriate to have a dress that looked like a 154 00:09:35,520 --> 00:09:39,840 Speaker 1: European person's garment because that's what people had been wearing, 155 00:09:39,920 --> 00:09:44,400 Speaker 1: including before being forcibly removed to Oklahoma. But it also 156 00:09:44,520 --> 00:09:47,760 Speaker 1: needed to feel like it was something specifically Cherokee. And 157 00:09:48,679 --> 00:09:51,640 Speaker 1: so yeah, it does have that kind of circular like, Okay, 158 00:09:51,679 --> 00:09:56,240 Speaker 1: what what had Europeans introduced? How had Cherokee people made 159 00:09:56,240 --> 00:10:00,800 Speaker 1: it their own? How does that feedback into re establishing 160 00:10:00,880 --> 00:10:07,080 Speaker 1: a cultural identity after you know, centuries of deliberate erasure 161 00:10:07,240 --> 00:10:10,800 Speaker 1: and deliberate attempts to force the Cherokee to assimilate with 162 00:10:10,880 --> 00:10:13,240 Speaker 1: white culture. Like all of this feeds in together with 163 00:10:13,320 --> 00:10:17,079 Speaker 1: creating a garment and then saying, Okay, this has roots 164 00:10:17,120 --> 00:10:19,720 Speaker 1: to us and is also something that is our cultural 165 00:10:19,800 --> 00:10:24,120 Speaker 1: dress today and also very similar to a product very 166 00:10:24,120 --> 00:10:30,200 Speaker 1: popular in the nineteen fifties amongst white ladies. We also 167 00:10:30,360 --> 00:10:32,800 Speaker 1: stressed in the episode that like, this is something that 168 00:10:32,840 --> 00:10:36,480 Speaker 1: the Cherokee in Oklahoma, we're doing the Cherokee in North 169 00:10:36,520 --> 00:10:41,160 Speaker 1: Carolina or you know, on the East Coast, like have 170 00:10:41,600 --> 00:10:44,920 Speaker 1: they're they're related, But this was something that was happening 171 00:10:44,960 --> 00:10:47,720 Speaker 1: in Oklahoma that, as far as I know, the Cherokee 172 00:10:47,760 --> 00:10:50,840 Speaker 1: in North Carolina were not part part of that part 173 00:10:50,880 --> 00:10:54,600 Speaker 1: of it in the sixties and seventies, and they're making 174 00:10:54,600 --> 00:11:00,480 Speaker 1: this dress. I also watched an hour the our the 175 00:11:00,480 --> 00:11:04,200 Speaker 1: the video that we referenced. I watched the full hour 176 00:11:04,240 --> 00:11:07,880 Speaker 1: of it and just like wrapped attention of the creation 177 00:11:07,920 --> 00:11:10,280 Speaker 1: of these dresses and how they were made and different 178 00:11:10,320 --> 00:11:13,479 Speaker 1: fabrics that they can be made from, and the challenges 179 00:11:13,480 --> 00:11:16,480 Speaker 1: of working with fabrics that don't just tear from the 180 00:11:16,520 --> 00:11:21,040 Speaker 1: salvage edge like that. The tearing from the salvage edge 181 00:11:21,600 --> 00:11:24,839 Speaker 1: gave me such a like I don't know what I 182 00:11:24,880 --> 00:11:28,000 Speaker 1: would call it. Is it nostalgia, is it chuckle? I 183 00:11:28,040 --> 00:11:30,720 Speaker 1: don't know, but I mean, did you ever bump up 184 00:11:30,720 --> 00:11:34,840 Speaker 1: against the arguments over pro tearing fabric versus not. I 185 00:11:34,840 --> 00:11:37,840 Speaker 1: don't think when you were doing any sewing, because people 186 00:11:37,920 --> 00:11:44,040 Speaker 1: feel strongly about this situe in the sewing world. Some 187 00:11:44,080 --> 00:11:46,440 Speaker 1: people love it because they feel like, great, if you 188 00:11:46,559 --> 00:11:53,080 Speaker 1: tear across the cross grain, you know you're getting essentially theoretically, 189 00:11:53,160 --> 00:11:57,800 Speaker 1: I should say, a straight right cut air quoting cut. 190 00:11:58,160 --> 00:12:02,560 Speaker 1: But not all fabric are loomed exactly perfectly that way, 191 00:12:02,600 --> 00:12:04,840 Speaker 1: and they won't Oh sure, you will actually end up 192 00:12:04,880 --> 00:12:07,199 Speaker 1: with an angled piece or one of the other things 193 00:12:07,200 --> 00:12:10,760 Speaker 1: that can happen is as you're ripping it. And also 194 00:12:10,880 --> 00:12:12,720 Speaker 1: you have to be kind of good at it to 195 00:12:12,840 --> 00:12:15,880 Speaker 1: get it like a clean tear. But sometimes as you're 196 00:12:15,880 --> 00:12:20,320 Speaker 1: doing the tear, the threads that make up the grain 197 00:12:20,400 --> 00:12:23,920 Speaker 1: of the fabric will get a little warped in the process, 198 00:12:23,960 --> 00:12:27,880 Speaker 1: and people get squeamish about that. Like there are if 199 00:12:27,920 --> 00:12:32,520 Speaker 1: you're in say a costume shop, Let's just say as 200 00:12:32,559 --> 00:12:38,439 Speaker 1: a theoretical example, and someone chooses to like they're making 201 00:12:38,480 --> 00:12:40,720 Speaker 1: something that has like a million ruffles, and they choose 202 00:12:40,760 --> 00:12:45,040 Speaker 1: to start tearing the fabric instead of cutting it. Some 203 00:12:45,080 --> 00:12:47,880 Speaker 1: people will be totally cool with it. And some people 204 00:12:47,960 --> 00:12:51,640 Speaker 1: will lose their minds and act as though you are 205 00:12:51,960 --> 00:12:55,040 Speaker 1: doing the most chromagnon thing you could possibly do with 206 00:12:55,080 --> 00:12:58,000 Speaker 1: a piece of fabric, which is no slight to chromegnons. 207 00:12:58,040 --> 00:13:02,360 Speaker 1: They just didn't have scissors yet. It's very funny to 208 00:13:02,440 --> 00:13:06,239 Speaker 1: watch that divide open up amidst a bunch of stitchers. 209 00:13:07,000 --> 00:13:11,520 Speaker 1: Yeah yeah, and watch how vehemently each side will make 210 00:13:11,559 --> 00:13:13,480 Speaker 1: their case that the way they do it is the 211 00:13:13,559 --> 00:13:16,280 Speaker 1: proper way. Yeah. I just find I'm very you know, 212 00:13:16,679 --> 00:13:20,560 Speaker 1: we roll with stuff in our sewing room. Yeah, whatever 213 00:13:20,600 --> 00:13:22,600 Speaker 1: way you like to do it is the correct way 214 00:13:22,640 --> 00:13:26,679 Speaker 1: for your project. Yeah. I have definitely had the experience 215 00:13:26,880 --> 00:13:32,920 Speaker 1: of trying to tear a really inexpensive inexpensive is the 216 00:13:32,920 --> 00:13:37,560 Speaker 1: wrong word a cheaply made piece of fabric and had 217 00:13:37,559 --> 00:13:41,640 Speaker 1: that go very wrong. Uh. Yeah. Sometimes if there's a gap, 218 00:13:41,720 --> 00:13:44,080 Speaker 1: if the thread count is not very high on those 219 00:13:44,120 --> 00:13:47,120 Speaker 1: grain threads, it will make a right turn and tear 220 00:13:47,240 --> 00:13:51,120 Speaker 1: up the grain instead of directly across the whole way. Yeah, 221 00:13:51,120 --> 00:13:53,480 Speaker 1: and that's not fun. That'll mess up your plan in 222 00:13:53,520 --> 00:13:56,280 Speaker 1: a hurry. So yep, that goes back to that whole 223 00:13:56,280 --> 00:13:59,800 Speaker 1: technique thing a little bit. You got to be fast confident. 224 00:14:00,040 --> 00:14:04,480 Speaker 1: You gotta tear with confidence. Yeah, and not all fabrics 225 00:14:04,520 --> 00:14:06,800 Speaker 1: will do it either. I don't think I have anything 226 00:14:06,800 --> 00:14:10,199 Speaker 1: else to say about Mary Golda Ross. I know almost 227 00:14:10,240 --> 00:14:13,440 Speaker 1: nothing about her personal life beyond her giving apricots to 228 00:14:13,440 --> 00:14:16,199 Speaker 1: people as gifts. I mean, that's all I need to know. 229 00:14:16,360 --> 00:14:29,960 Speaker 1: She's a cool lady. Yeah. Yeah. We talked about Marjorie 230 00:14:30,000 --> 00:14:35,160 Speaker 1: Meriweather post this week, who I'm very fascinated by because 231 00:14:35,160 --> 00:14:38,560 Speaker 1: she does seem like one of those early instances of 232 00:14:38,600 --> 00:14:42,160 Speaker 1: someone with more money than she needs who decided she 233 00:14:42,200 --> 00:14:44,440 Speaker 1: would use it to help other people, which I admire, 234 00:14:45,080 --> 00:14:50,840 Speaker 1: and also who encouraged other people that were similarly blessed 235 00:14:50,880 --> 00:14:54,040 Speaker 1: with wealth that they needed to also step up and 236 00:14:54,080 --> 00:14:56,560 Speaker 1: do the same thing. I love that she's like, this 237 00:14:56,640 --> 00:14:59,640 Speaker 1: construction project might be a money pit, but I don't 238 00:14:59,640 --> 00:15:01,480 Speaker 1: want to put all these guys out of work and 239 00:15:01,560 --> 00:15:04,480 Speaker 1: make an entire big problem because a lot of people 240 00:15:04,520 --> 00:15:07,040 Speaker 1: are employed by my project. Hmm. I love that. I 241 00:15:07,080 --> 00:15:11,280 Speaker 1: love that about her. There are some very funny things. Apparently, 242 00:15:12,560 --> 00:15:15,040 Speaker 1: when she built Mary Lago, which she envisioned, is this 243 00:15:15,120 --> 00:15:17,720 Speaker 1: amazing place she was going to host parties, She did 244 00:15:17,760 --> 00:15:20,240 Speaker 1: have some times where she actually got overwhelmed by it. 245 00:15:20,520 --> 00:15:22,440 Speaker 1: Like they would invite two hundred people at a time 246 00:15:22,480 --> 00:15:25,520 Speaker 1: to come and stay there and like go to a 247 00:15:25,520 --> 00:15:27,760 Speaker 1: full array of activities, you know, kind of the way 248 00:15:27,800 --> 00:15:31,000 Speaker 1: we see in films of old English country houses having 249 00:15:31,040 --> 00:15:33,240 Speaker 1: everybody come and visit for a week or whatever, and 250 00:15:33,280 --> 00:15:37,400 Speaker 1: they have a full schedule of activities and balls and meals. 251 00:15:37,800 --> 00:15:40,600 Speaker 1: And apparently at one point she had invited a bunch 252 00:15:40,600 --> 00:15:44,720 Speaker 1: of people and some of them brought their kids, which 253 00:15:44,720 --> 00:15:46,600 Speaker 1: they had not told her ahead of time, and so 254 00:15:46,720 --> 00:15:48,920 Speaker 1: there were more people than they had planned for, and 255 00:15:48,960 --> 00:15:53,080 Speaker 1: then an illness broke out amongst the party group, and 256 00:15:53,160 --> 00:15:55,760 Speaker 1: so they were having to like separate people into different 257 00:15:55,760 --> 00:15:57,880 Speaker 1: bedrooms and all of the rooms were filled, and more 258 00:15:57,920 --> 00:16:02,400 Speaker 1: guests were still coming. Oh no, but they managed it. Somehow, 259 00:16:02,560 --> 00:16:10,520 Speaker 1: they managed it. Marjorie Merriweather Post was a serial monogamous. Yeah, 260 00:16:10,560 --> 00:16:15,240 Speaker 1: it's interesting. There's a book a biography of her that 261 00:16:15,360 --> 00:16:18,640 Speaker 1: I read that was written by Nancy Ruben Stewart in 262 00:16:18,720 --> 00:16:21,640 Speaker 1: nineteen ninety five, although she wrote an article about her 263 00:16:21,640 --> 00:16:25,520 Speaker 1: in twenty twenty three for Saturday Evening Post where she 264 00:16:25,640 --> 00:16:31,680 Speaker 1: references a lot of things that Marjorie's children and grandchildren 265 00:16:32,280 --> 00:16:36,640 Speaker 1: have commented on over the decades about her and about 266 00:16:36,680 --> 00:16:39,480 Speaker 1: like their disagreements of her assessments of things, but also 267 00:16:39,520 --> 00:16:42,600 Speaker 1: their you know, love of her. And she was a 268 00:16:42,640 --> 00:16:45,960 Speaker 1: person that really helped a lot of people, you know, 269 00:16:46,120 --> 00:16:49,600 Speaker 1: in their family and outside of their family, and you know, 270 00:16:49,680 --> 00:16:51,760 Speaker 1: anybody that they were connected to when they fell on 271 00:16:51,840 --> 00:16:54,480 Speaker 1: hard times could come to her from help and always 272 00:16:54,520 --> 00:16:58,440 Speaker 1: get it. But they also talked about how she just 273 00:16:59,400 --> 00:17:03,640 Speaker 1: thought you were supposed to be married, that was what 274 00:17:03,720 --> 00:17:07,760 Speaker 1: was up. You needed to be coupled up. And so 275 00:17:08,240 --> 00:17:12,400 Speaker 1: even after she had broken up with herb her fourth husband, 276 00:17:13,040 --> 00:17:18,160 Speaker 1: and that whole scandal, at one point there were rumors 277 00:17:18,160 --> 00:17:20,560 Speaker 1: that she was going to get remarried, which she dismissed, 278 00:17:20,560 --> 00:17:23,639 Speaker 1: but apparently among the family they had said something about it, 279 00:17:24,000 --> 00:17:26,480 Speaker 1: and she was like, yeah, but I'm lonely, Like I'm 280 00:17:26,520 --> 00:17:28,879 Speaker 1: in this huge house by myself, Like why wouldn't I 281 00:17:28,920 --> 00:17:31,280 Speaker 1: get married again? Even though at that point, you know, 282 00:17:31,359 --> 00:17:35,439 Speaker 1: she's into her late seventies, early eighties, so she just 283 00:17:35,640 --> 00:17:39,040 Speaker 1: she loved the companionship of marriage, and it seems like 284 00:17:39,080 --> 00:17:42,200 Speaker 1: it was a she had a sense of personal failure 285 00:17:42,240 --> 00:17:47,119 Speaker 1: at never having had what she perceived as a successful marriage. Yeah, 286 00:17:47,560 --> 00:17:50,359 Speaker 1: even though her marriage to Davies lasted twenty years, I 287 00:17:50,400 --> 00:17:56,040 Speaker 1: mean it lasted a long time. Yeah. But yeah, Also, 288 00:17:56,119 --> 00:17:59,240 Speaker 1: all these rich people were just switching up spouses periodically, 289 00:17:59,280 --> 00:18:01,400 Speaker 1: Like I don't mean any kind of like we're doing 290 00:18:01,440 --> 00:18:03,520 Speaker 1: a spouse swap, but it would be like we got 291 00:18:03,520 --> 00:18:06,120 Speaker 1: divorced and then at a party a couple months later, 292 00:18:06,160 --> 00:18:07,960 Speaker 1: I met this other person and they were married to 293 00:18:07,960 --> 00:18:10,200 Speaker 1: somebody else, but they got divorced, and then we got married, 294 00:18:10,240 --> 00:18:13,160 Speaker 1: and then that person got married to another person. It's 295 00:18:13,240 --> 00:18:18,520 Speaker 1: just wild. Yeah. Point of trivia Edward Close, her first 296 00:18:18,600 --> 00:18:23,000 Speaker 1: husband is, if I did the math right, the grandfather 297 00:18:23,119 --> 00:18:25,840 Speaker 1: of Glenn Close. I wondered when I got to the 298 00:18:25,920 --> 00:18:29,360 Speaker 1: name Close and the outline if there was a relation there, 299 00:18:29,400 --> 00:18:37,360 Speaker 1: and then I was like, surely not, there is there is. Yeah, man, 300 00:18:37,359 --> 00:18:40,880 Speaker 1: that's fascinating. There are also some interesting There's so much 301 00:18:40,920 --> 00:18:43,359 Speaker 1: that I had to leave out because she I didn't 302 00:18:43,359 --> 00:18:46,000 Speaker 1: get into any of her collecting. Yeah, because she did 303 00:18:46,160 --> 00:18:50,520 Speaker 1: collect a lot of amazing stuff, like you know, tapestries 304 00:18:50,760 --> 00:18:54,920 Speaker 1: from France that were made by the same weaving company 305 00:18:54,960 --> 00:18:58,359 Speaker 1: that had made tapestries you know for the royal palaces, 306 00:18:58,400 --> 00:19:02,199 Speaker 1: Like pieces of find china that she collected when she 307 00:19:02,320 --> 00:19:06,160 Speaker 1: was in the Soviet Union, pieces she collected all over 308 00:19:06,200 --> 00:19:09,040 Speaker 1: Europe on her travels, pieces she collected from around the 309 00:19:09,119 --> 00:19:11,720 Speaker 1: United States when she trivel Like she just had an 310 00:19:11,800 --> 00:19:17,359 Speaker 1: eye for jewelry and art and sculpture and was very 311 00:19:17,400 --> 00:19:22,080 Speaker 1: smart about acquiring things and using them, which is pretty interesting, right. 312 00:19:22,119 --> 00:19:24,840 Speaker 1: They didn't just go into storage. They were included in 313 00:19:24,880 --> 00:19:27,720 Speaker 1: the designs of her homes. They were part of the 314 00:19:27,760 --> 00:19:31,760 Speaker 1: way she arranged things. Her fine china got used, and 315 00:19:31,800 --> 00:19:33,960 Speaker 1: she had very specific ways she liked it to be 316 00:19:34,119 --> 00:19:37,760 Speaker 1: arranged and displayed on the table with very specific flowers 317 00:19:37,840 --> 00:19:40,680 Speaker 1: that she wanted to have if she was using any 318 00:19:40,720 --> 00:19:45,160 Speaker 1: given set of china, Which is all pretty interesting. Now, 319 00:19:45,200 --> 00:19:48,320 Speaker 1: I want to go to Hillwood. I've never been. Yeah, 320 00:19:48,840 --> 00:19:52,520 Speaker 1: it looks beautiful. I've never been. Let's go. That tree 321 00:19:52,760 --> 00:19:57,200 Speaker 1: and flower lines walk that her friends made sounds really 322 00:19:57,200 --> 00:19:59,960 Speaker 1: lovely to me. I feel like that is a real, 323 00:20:00,280 --> 00:20:03,919 Speaker 1: really good indicator of who she was as a person. 324 00:20:04,800 --> 00:20:08,080 Speaker 1: That her friends were not like, you know, it's her 325 00:20:08,080 --> 00:20:12,440 Speaker 1: seventieth birthday, let's buy her something ostentatious and huge, right. 326 00:20:12,480 --> 00:20:15,000 Speaker 1: They were instead like, let's build a beautiful place that 327 00:20:15,119 --> 00:20:17,760 Speaker 1: she can walk, and that other people could also walk 328 00:20:17,800 --> 00:20:21,639 Speaker 1: because that's what she wants. I feel like that's a 329 00:20:21,640 --> 00:20:26,040 Speaker 1: good indicator that she was not a monster. Yeah, fingers, 330 00:20:26,080 --> 00:20:30,680 Speaker 1: fingers Yeah. One of the other things that does come 331 00:20:30,720 --> 00:20:34,120 Speaker 1: up in all of those those quotes from her family 332 00:20:34,520 --> 00:20:37,680 Speaker 1: after her passing is that she was not good at 333 00:20:37,720 --> 00:20:41,840 Speaker 1: dealing with things. She did not like Oh sure, she 334 00:20:41,960 --> 00:20:47,320 Speaker 1: wouldn't like address things head on and like try to 335 00:20:47,400 --> 00:20:49,800 Speaker 1: fix it. She would just cut it out of her life. 336 00:20:50,680 --> 00:20:53,359 Speaker 1: Something I'm embarrassed to tell you. I feel a certain 337 00:20:53,440 --> 00:20:57,120 Speaker 1: kinship to you. But like even with her husband, her 338 00:20:57,119 --> 00:20:59,960 Speaker 1: second husband, when she found out he was cheating, she'd 339 00:21:00,000 --> 00:21:02,640 Speaker 1: she didn't say like, hey, you're cheating. Here's a thing. 340 00:21:02,680 --> 00:21:05,320 Speaker 1: It was I'm about to step onto a boat and 341 00:21:05,359 --> 00:21:10,720 Speaker 1: go away for months. By the way, we're getting divorced, goodbye. Yeah, 342 00:21:10,840 --> 00:21:13,000 Speaker 1: because she didn't want to have the conversation about it. 343 00:21:13,359 --> 00:21:15,320 Speaker 1: She just wanted to say how it was going to 344 00:21:15,359 --> 00:21:19,639 Speaker 1: be and leave and not right. This reminds me a 345 00:21:19,640 --> 00:21:22,600 Speaker 1: little bit, in a slightly different way of a relationship 346 00:21:22,640 --> 00:21:26,560 Speaker 1: that I ended immediately after my birthday party was over 347 00:21:26,600 --> 00:21:30,160 Speaker 1: and all the rest of the guests had left because 348 00:21:30,160 --> 00:21:31,960 Speaker 1: I didn't want to deal with it. Prior to the 349 00:21:32,000 --> 00:21:38,320 Speaker 1: birthday party, but it needed to be dealt with. Yeah, yeah, yeah, 350 00:21:38,320 --> 00:21:39,720 Speaker 1: she just wouldn't have dealt with it. She would have 351 00:21:39,760 --> 00:21:41,560 Speaker 1: moved out the next day while that person was like 352 00:21:41,600 --> 00:21:44,679 Speaker 1: at work or on an Errand yeah, I didn't have 353 00:21:44,720 --> 00:21:58,159 Speaker 1: that option. There are various people that come up on 354 00:21:58,200 --> 00:22:01,800 Speaker 1: the show where like I really feel like I have 355 00:22:01,880 --> 00:22:04,399 Speaker 1: the same mindset about something, or I really empathize with 356 00:22:04,480 --> 00:22:08,240 Speaker 1: them in a particular way. And I do not have 357 00:22:08,400 --> 00:22:14,200 Speaker 1: that with the need for her to be married, because 358 00:22:14,320 --> 00:22:17,680 Speaker 1: way earlier in my life I came to the decision 359 00:22:17,760 --> 00:22:21,640 Speaker 1: that a bad relationship was way worse than no relationship, 360 00:22:21,680 --> 00:22:25,040 Speaker 1: and I would much rather have no relationship if that 361 00:22:25,240 --> 00:22:28,440 Speaker 1: was the options, Like, those are my choices. Oh yeah. 362 00:22:28,480 --> 00:22:30,760 Speaker 1: And so sort of feeling like she needed to be 363 00:22:30,960 --> 00:22:33,880 Speaker 1: in a marriage is just like it's not a thing 364 00:22:34,040 --> 00:22:38,520 Speaker 1: where I am in sync with her thinking on that. Well, 365 00:22:38,560 --> 00:22:44,919 Speaker 1: I think too right. She wasn't a person who like 366 00:22:46,520 --> 00:22:49,480 Speaker 1: got into a marriage that she knew was not gonna 367 00:22:49,480 --> 00:22:53,400 Speaker 1: be great. Every time she started one of her four marriages, 368 00:22:54,000 --> 00:22:56,320 Speaker 1: she felt very in love with that person. They all 369 00:22:56,359 --> 00:22:59,679 Speaker 1: seem like they were great starts. Oh sure, And she 370 00:22:59,760 --> 00:23:03,399 Speaker 1: did roll out as soon as she was she was 371 00:23:03,560 --> 00:23:05,840 Speaker 1: in any way wronged by it, yeah, or felt like 372 00:23:05,880 --> 00:23:09,200 Speaker 1: it wasn't working for her. But she you know, keep 373 00:23:09,200 --> 00:23:13,640 Speaker 1: in mind, she was very beautiful, she was very charming, 374 00:23:13,880 --> 00:23:19,479 Speaker 1: she was super smart, self possessed, had more money than 375 00:23:19,520 --> 00:23:22,120 Speaker 1: anybody she was going to meet, just about I mean, 376 00:23:22,160 --> 00:23:24,960 Speaker 1: it's funny because there are a lot of write ups 377 00:23:24,960 --> 00:23:27,720 Speaker 1: about her that, you know, like the brief versions were there, 378 00:23:27,760 --> 00:23:30,639 Speaker 1: like she was the richest woman in the United States 379 00:23:30,720 --> 00:23:32,359 Speaker 1: or one of the richest women in the world. I'm like, 380 00:23:32,400 --> 00:23:35,080 Speaker 1: she was one of the richest people in the world. Like, right, 381 00:23:35,440 --> 00:23:37,919 Speaker 1: you don't need to specify by sex or gender in 382 00:23:37,960 --> 00:23:41,480 Speaker 1: this instance, because she was a millionaire when she was 383 00:23:41,520 --> 00:23:47,240 Speaker 1: a teenager, like a multimillionaire right in the nineteen teens. Yeah, 384 00:23:47,400 --> 00:23:51,840 Speaker 1: in nineteen teens. Dollars of multimillionaire. Yeah, she was richer 385 00:23:51,920 --> 00:23:55,880 Speaker 1: than most people ever, so she knew that was another thing. 386 00:23:55,960 --> 00:23:58,440 Speaker 1: She knew she was never going to meet somebody who 387 00:23:58,520 --> 00:24:01,719 Speaker 1: was her equal in that regard. Like there was just 388 00:24:01,760 --> 00:24:05,600 Speaker 1: no the odds were incredibly low to Jill. But she 389 00:24:05,720 --> 00:24:09,560 Speaker 1: did seem to very much like love, love, and truly 390 00:24:09,560 --> 00:24:12,439 Speaker 1: fall in love with these people, and she charmed them. 391 00:24:12,760 --> 00:24:16,200 Speaker 1: There The story of when she met her husband, Joe 392 00:24:16,320 --> 00:24:20,119 Speaker 1: Davies for the first time, is like everybody in the 393 00:24:20,200 --> 00:24:23,639 Speaker 1: room saw it happen, like where they were all they 394 00:24:23,680 --> 00:24:26,080 Speaker 1: all kind of knew, like, all right, well, his marriage 395 00:24:26,080 --> 00:24:27,720 Speaker 1: is going to end because he just fell in love 396 00:24:27,760 --> 00:24:30,960 Speaker 1: with this woman at first sight. Like even his kids 397 00:24:30,960 --> 00:24:34,000 Speaker 1: were like, whoa, okay, our lives just changed. Like they 398 00:24:34,080 --> 00:24:37,520 Speaker 1: all recognized that they had a really intense attraction to 399 00:24:37,560 --> 00:24:40,840 Speaker 1: one another and a devotion to one another. So it's 400 00:24:40,920 --> 00:24:44,160 Speaker 1: it's interesting. I don't think she was willing to put 401 00:24:44,240 --> 00:24:47,040 Speaker 1: up with not a good relationship. She just was a 402 00:24:47,119 --> 00:24:51,399 Speaker 1: romantic in many ways and thought she wanted to be 403 00:24:51,480 --> 00:24:56,640 Speaker 1: with somebody and have that you know, magical connection. Even 404 00:24:56,680 --> 00:24:59,480 Speaker 1: though I mean, I think that's probably what led her 405 00:24:59,520 --> 00:25:04,520 Speaker 1: to not realize that her last husband, if he was 406 00:25:05,400 --> 00:25:07,840 Speaker 1: I mean, we don't know. The words never came out 407 00:25:07,880 --> 00:25:10,640 Speaker 1: in any kind of like I identify as oh, sure 408 00:25:10,680 --> 00:25:15,000 Speaker 1: he was a closeted homosexual, or he was bisexual or whatever. Right, 409 00:25:15,119 --> 00:25:17,399 Speaker 1: I don't think that ever crossed her mind for a second, 410 00:25:17,480 --> 00:25:20,200 Speaker 1: because she was like, I am in love with this person, 411 00:25:20,240 --> 00:25:23,720 Speaker 1: and he's in love with me. Yeah. And even though 412 00:25:24,119 --> 00:25:26,840 Speaker 1: there were instances later on where people were like, remember 413 00:25:26,840 --> 00:25:29,280 Speaker 1: that time where you said he was weird around that 414 00:25:29,359 --> 00:25:32,879 Speaker 1: waiter and he acted too familiar because he was hitting 415 00:25:32,880 --> 00:25:34,879 Speaker 1: on him, and she was like really like she just 416 00:25:35,000 --> 00:25:39,960 Speaker 1: didn't didn't have any any sense of it. Yeah. I 417 00:25:40,080 --> 00:25:43,680 Speaker 1: kind of went like poking around for more detail about 418 00:25:43,720 --> 00:25:47,040 Speaker 1: that after reading the outline this morning, because I was 419 00:25:47,119 --> 00:25:49,640 Speaker 1: kind of curious, and I also was like, okay, like 420 00:25:49,760 --> 00:25:53,320 Speaker 1: what ages of young men are we talking about here? 421 00:25:54,080 --> 00:25:59,320 Speaker 1: And the pictures that showed like what is what is 422 00:25:59,359 --> 00:26:01,639 Speaker 1: the nature of what we're talking about here? And my 423 00:26:02,119 --> 00:26:06,840 Speaker 1: cursory reading of it made it sound like that he 424 00:26:07,200 --> 00:26:10,879 Speaker 1: genuinely did have feelings for her in some way. Yeah, 425 00:26:10,960 --> 00:26:13,840 Speaker 1: and and that like also he was involved with man, 426 00:26:14,000 --> 00:26:16,959 Speaker 1: so yeah, I mean that's the thing. It makes me 427 00:26:17,000 --> 00:26:21,080 Speaker 1: think he was probably by but again, you don't want 428 00:26:21,119 --> 00:26:24,560 Speaker 1: to assign that to anybody because we don't know. Yeah, 429 00:26:24,760 --> 00:26:29,040 Speaker 1: but he seemed very into her. I mean he pursued her, right, 430 00:26:29,560 --> 00:26:34,399 Speaker 1: So mysteries mysteries. So she was so good at keeping 431 00:26:34,440 --> 00:26:38,560 Speaker 1: things private that there are big chunks we don't know about, right, 432 00:26:38,640 --> 00:26:43,080 Speaker 1: like her divorce, Yeah, from Hutton is still shrouded in 433 00:26:43,320 --> 00:26:46,520 Speaker 1: a little bit of mystery. It's that combination of not 434 00:26:46,680 --> 00:26:50,400 Speaker 1: having the inner thoughts of either of them really on this, 435 00:26:50,520 --> 00:26:53,880 Speaker 1: and then also like the continual evolution of how we 436 00:26:53,920 --> 00:26:58,080 Speaker 1: talk about these things in society, which is constantly changing 437 00:26:58,080 --> 00:27:03,080 Speaker 1: and evolving. Anyways, she fascinates me. Yeah, I do love 438 00:27:03,160 --> 00:27:06,359 Speaker 1: that she proselytized to all of her wealthy friends to 439 00:27:06,400 --> 00:27:09,480 Speaker 1: be like, the way you make best use of your 440 00:27:09,480 --> 00:27:12,240 Speaker 1: money is to spread it around and give money away 441 00:27:12,280 --> 00:27:15,400 Speaker 1: all the time, use it for good, for good aims, 442 00:27:15,600 --> 00:27:17,719 Speaker 1: try to make the world a better place with your money. 443 00:27:17,880 --> 00:27:19,919 Speaker 1: You can still keep making money for you, but you 444 00:27:20,040 --> 00:27:22,640 Speaker 1: got to also do these things if you really want 445 00:27:22,640 --> 00:27:26,679 Speaker 1: to live, right, And I'm like, I love you. Yeah, Yeah, 446 00:27:26,800 --> 00:27:29,520 Speaker 1: I feel like we're living in a society where there 447 00:27:29,600 --> 00:27:33,080 Speaker 1: is way too much wealth concentrated with a few specific 448 00:27:33,119 --> 00:27:36,919 Speaker 1: people who have way too much power over the lives 449 00:27:36,920 --> 00:27:40,080 Speaker 1: of the rest of us. So I do like the 450 00:27:40,119 --> 00:27:45,160 Speaker 1: fact that she was not focused on like getting more 451 00:27:45,160 --> 00:27:46,919 Speaker 1: and more and more and more and more to the 452 00:27:47,000 --> 00:27:51,480 Speaker 1: exclusion of attempting to do good for other people in 453 00:27:51,520 --> 00:27:55,679 Speaker 1: the world. Yeah. Even as she got older, her you know, 454 00:27:56,160 --> 00:28:00,680 Speaker 1: large lavish parties often came with by the way, are 455 00:28:00,680 --> 00:28:06,000 Speaker 1: you donating money? Which I love. I love it anyway, 456 00:28:05,840 --> 00:28:09,960 Speaker 1: may we all live with the sense of duty to 457 00:28:10,000 --> 00:28:14,480 Speaker 1: help others with what we have. Yeah, speaking of donating money, 458 00:28:14,520 --> 00:28:16,840 Speaker 1: we're recording this a couple of weeks in advanced Will 459 00:28:16,920 --> 00:28:20,040 Speaker 1: the government still be shut down when this episode comes out? 460 00:28:20,080 --> 00:28:23,200 Speaker 1: Who can say? Will people have gotten their snap benefits 461 00:28:23,200 --> 00:28:26,199 Speaker 1: in November? Who can say? What we can say is 462 00:28:26,200 --> 00:28:28,520 Speaker 1: that we know there will still be a need for 463 00:28:28,640 --> 00:28:31,919 Speaker 1: people to have food. And so if you have the 464 00:28:31,960 --> 00:28:34,560 Speaker 1: ability to donate to your local food bank or a 465 00:28:34,600 --> 00:28:39,320 Speaker 1: food rescue organization or some organization that is helping to 466 00:28:39,400 --> 00:28:41,800 Speaker 1: keep people fed, if you're able to do that, it's 467 00:28:41,840 --> 00:28:43,680 Speaker 1: a great time to do it. One of my very 468 00:28:43,720 --> 00:28:48,920 Speaker 1: favorite ways to support the community is to always, always 469 00:28:49,200 --> 00:28:53,000 Speaker 1: we do a big usually Thanksgiving, we do a donation 470 00:28:53,560 --> 00:28:57,560 Speaker 1: and then we tie a nerdy Star Wars thing to 471 00:28:57,720 --> 00:29:00,480 Speaker 1: Mardi Grass season, where the idea is that, oh, yeah, 472 00:29:00,520 --> 00:29:02,920 Speaker 1: yeah tasting. We should also be giving to places that 473 00:29:02,960 --> 00:29:09,120 Speaker 1: feed people, whatever organization feels right to you. Local organizations 474 00:29:09,120 --> 00:29:11,760 Speaker 1: are great, I mean, we all have plenty. That's like 475 00:29:11,800 --> 00:29:14,520 Speaker 1: my life motto. Yeah, I feel like there's a lot 476 00:29:14,600 --> 00:29:16,080 Speaker 1: going on in the world and a lot that people 477 00:29:16,160 --> 00:29:19,280 Speaker 1: can want to contribute to, and just everything's harder when 478 00:29:19,280 --> 00:29:23,080 Speaker 1: people are hungry. Yeah, if you've ever been hungry, you 479 00:29:23,120 --> 00:29:27,920 Speaker 1: know it sucks. We should help people not have to 480 00:29:27,920 --> 00:29:29,960 Speaker 1: feel that and not be ashamed when they need help 481 00:29:30,560 --> 00:29:32,680 Speaker 1: make the world better. If this is your weekend, I 482 00:29:32,680 --> 00:29:34,440 Speaker 1: hope you find a way to make the world better. 483 00:29:34,800 --> 00:29:37,360 Speaker 1: If it's not your weekend, I hope whatever your job 484 00:29:37,480 --> 00:29:39,600 Speaker 1: is does not burden you in a way that makes 485 00:29:39,640 --> 00:29:42,200 Speaker 1: you feel like the world is worse. I hope that 486 00:29:42,280 --> 00:29:44,920 Speaker 1: everybody treats each other kindly. We all take care of 487 00:29:44,960 --> 00:29:47,440 Speaker 1: one another. We will be right back here tomorrow with 488 00:29:47,480 --> 00:29:52,640 Speaker 1: a classic episode, and then on Monday with something brand new. 489 00:29:55,840 --> 00:29:58,920 Speaker 1: Stuff you missed in History Class is a production of iHeartRadio. 490 00:29:59,240 --> 00:30:03,880 Speaker 1: For more podcast from iHeartRadio, visit the iHeartRadio app, Apple Podcasts, 491 00:30:04,000 --> 00:30:06,040 Speaker 1: or wherever you listen to your favorite shows.