1 00:00:00,280 --> 00:00:02,840 Speaker 1: Brought to you by the reinvented two thousand twelve camera. 2 00:00:03,160 --> 00:00:09,880 Speaker 1: It's ready. Are you welcome to stuff mom never told you? 3 00:00:10,080 --> 00:00:17,599 Speaker 1: From house Stop Works dot Com. Hello, and welcome to 4 00:00:17,640 --> 00:00:22,640 Speaker 1: the podcast. I'm Kristen and I'm Caroline. Caroline. Quick question 5 00:00:22,960 --> 00:00:29,840 Speaker 1: for you. Have you ever played matchmaker with friends or acquaintances, 6 00:00:29,960 --> 00:00:34,279 Speaker 1: or family members, or just two people on the street, whomever, 7 00:00:34,920 --> 00:00:37,080 Speaker 1: people on a bus stop you look attractive, one or 8 00:00:37,120 --> 00:00:39,560 Speaker 1: two kids together. Now, I don't think I have no 9 00:00:39,840 --> 00:00:42,760 Speaker 1: I don't know. I feel like I would not be 10 00:00:42,880 --> 00:00:46,159 Speaker 1: good at it. Now I know that you were joking 11 00:00:46,159 --> 00:00:48,080 Speaker 1: about two people on the street or on the bus, 12 00:00:48,760 --> 00:00:51,920 Speaker 1: but actually, in fact, one day on my way home 13 00:00:51,960 --> 00:00:56,000 Speaker 1: from work, I was riding the train and an older 14 00:00:56,040 --> 00:00:58,880 Speaker 1: gentleman tried to play matchmaker with me in a and 15 00:00:58,920 --> 00:01:02,120 Speaker 1: a strange man and my stranger like a stranger. I 16 00:01:02,160 --> 00:01:06,160 Speaker 1: didn't know. He had a nice face, uh, but it 17 00:01:06,240 --> 00:01:09,000 Speaker 1: was one of the most awkward instances. This older guy 18 00:01:09,080 --> 00:01:12,880 Speaker 1: was like, you too belong together. I can see it. 19 00:01:13,280 --> 00:01:15,080 Speaker 1: Maybe he could see something you couldn't. I know. We 20 00:01:15,200 --> 00:01:19,040 Speaker 1: both looked up from our from our books, our respective publications, 21 00:01:19,720 --> 00:01:24,000 Speaker 1: and and then I ran out. Once we got to 22 00:01:24,040 --> 00:01:26,759 Speaker 1: my stop because I'm you know, what are you gonna 23 00:01:26,760 --> 00:01:29,240 Speaker 1: do at that point? I don't know. Blush probably is 24 00:01:29,280 --> 00:01:30,800 Speaker 1: what I would have done. Actually that did that same 25 00:01:30,800 --> 00:01:33,160 Speaker 1: thing happened to me. I was in England and I 26 00:01:33,200 --> 00:01:35,080 Speaker 1: was at a cafe and I was reading a book 27 00:01:35,080 --> 00:01:38,560 Speaker 1: and like drinking my coffee and this waitress comes over. 28 00:01:38,680 --> 00:01:41,920 Speaker 1: She's like, oh, are you American? Of course she obviously 29 00:01:41,959 --> 00:01:44,000 Speaker 1: had a British accent, but I'm not even gonna do it, 30 00:01:44,160 --> 00:01:50,080 Speaker 1: like hello, hello, hello, Now are you American? And I 31 00:01:50,160 --> 00:01:53,240 Speaker 1: was like, yeah, well, you know he over there, that 32 00:01:53,280 --> 00:01:56,000 Speaker 1: guy that he's American too, And we bought it was 33 00:01:56,040 --> 00:01:57,640 Speaker 1: the same thing. We both look up from our books 34 00:01:57,640 --> 00:01:59,240 Speaker 1: and we're like, we both have this look on our 35 00:01:59,280 --> 00:02:01,920 Speaker 1: face like oh god, please stop, and she's like, you 36 00:02:02,000 --> 00:02:04,400 Speaker 1: got you really? Do you know him? You know he's 37 00:02:04,400 --> 00:02:06,760 Speaker 1: a do you know him? He's also American. You guys 38 00:02:06,760 --> 00:02:09,200 Speaker 1: should really know each other, you should really sit together. 39 00:02:09,400 --> 00:02:11,160 Speaker 1: And we just look at each other and just go 40 00:02:11,240 --> 00:02:18,119 Speaker 1: back to her and now he's your boyfriend. No, Well, 41 00:02:18,440 --> 00:02:22,680 Speaker 1: clearly these random folks that we've run into in our 42 00:02:22,720 --> 00:02:28,840 Speaker 1: lives not good matchmakers. I've never played matchmaker with friends 43 00:02:28,840 --> 00:02:31,920 Speaker 1: that I can think of, really I kind of avoid it. 44 00:02:31,919 --> 00:02:33,680 Speaker 1: I feel like I would. I wouldn't be that great, 45 00:02:33,840 --> 00:02:36,440 Speaker 1: and then if it doesn't work out, it's egg on 46 00:02:36,520 --> 00:02:38,639 Speaker 1: your face. Let's egg on your face. But also you 47 00:02:38,720 --> 00:02:42,040 Speaker 1: might be putting a wrench into your friend group. Right. 48 00:02:43,000 --> 00:02:47,280 Speaker 1: But if I was to tell you that you could 49 00:02:47,320 --> 00:02:52,760 Speaker 1: be paid thousands of dollars to potentially match people up, 50 00:02:52,800 --> 00:02:55,600 Speaker 1: which you think it about it, I could be inspired. Okay, 51 00:02:56,040 --> 00:02:58,840 Speaker 1: Well that's this is a very long way of telling 52 00:02:58,880 --> 00:03:04,360 Speaker 1: our listeners that we're talking about matchmakers today. Uh. In 53 00:03:04,520 --> 00:03:06,880 Speaker 1: my mind, when I think of matchmaker, the first thing 54 00:03:06,919 --> 00:03:09,679 Speaker 1: I think of is the song from Fiddler on the 55 00:03:09,760 --> 00:03:12,880 Speaker 1: Roof that goes a little something like, I won't sing 56 00:03:12,919 --> 00:03:17,320 Speaker 1: it for you. I was so ready your eyes beamed 57 00:03:17,360 --> 00:03:19,600 Speaker 1: there for a moment. Nope, I'm not going to sing 58 00:03:19,600 --> 00:03:23,440 Speaker 1: it today because I'm recovering from a cold show. I 59 00:03:23,480 --> 00:03:28,560 Speaker 1: don't think And that's my excuse. Um. But we're talking 60 00:03:28,680 --> 00:03:35,280 Speaker 1: more in the podcast about professional matchmakers because it seems 61 00:03:35,360 --> 00:03:37,760 Speaker 1: like I don't know if we have many reality TV 62 00:03:37,880 --> 00:03:40,400 Speaker 1: fans out there, but there was a certain show on 63 00:03:40,440 --> 00:03:43,600 Speaker 1: a certain network by the certain name of Millionaire Matchmaker, 64 00:03:44,200 --> 00:03:46,440 Speaker 1: and I feel like I love it. Once that came 65 00:03:46,440 --> 00:03:51,080 Speaker 1: out every it was Matchmakers everywhere. Yeah, I love I 66 00:03:51,120 --> 00:03:53,280 Speaker 1: love the show. I the only reason I can't watch 67 00:03:53,280 --> 00:03:56,080 Speaker 1: this because there's too many commercials, But I do love it. 68 00:03:56,440 --> 00:03:58,680 Speaker 1: And she sets up some pretty nasty people. I don't 69 00:03:58,680 --> 00:04:01,120 Speaker 1: mean like that the couple nafty. I mean like she 70 00:04:01,240 --> 00:04:04,000 Speaker 1: sets people up with some nasty people, like some of 71 00:04:04,000 --> 00:04:08,280 Speaker 1: her millionaires are really big jerks. But again, as we'll 72 00:04:08,280 --> 00:04:11,280 Speaker 1: get to in the podcast, sometimes it's not. You know, 73 00:04:11,480 --> 00:04:16,200 Speaker 1: part of the matchmaking process is finding the diamond in 74 00:04:16,240 --> 00:04:18,719 Speaker 1: the rough. You know, maybe you know, a lot of 75 00:04:18,720 --> 00:04:24,200 Speaker 1: times with these these smarmier men who she might Patty Singer, 76 00:04:24,200 --> 00:04:29,479 Speaker 1: the millionaire Matchmaker might uh encounter really what they needed 77 00:04:29,600 --> 00:04:31,800 Speaker 1: some coaching, and she'll, you know, they'll usually go through 78 00:04:31,880 --> 00:04:35,760 Speaker 1: some kind of at least some minimal metamorphosis of realizing that, 79 00:04:35,920 --> 00:04:40,400 Speaker 1: you know, maybe clock of Seagulls haircut is over. Sir. Yeah. 80 00:04:42,320 --> 00:04:45,680 Speaker 1: So before we get too much into our into our 81 00:04:45,720 --> 00:04:49,080 Speaker 1: secret and now not so secret love of Millionaire Matchmaker, 82 00:04:49,240 --> 00:04:54,240 Speaker 1: guilty pleure, let's talk about the matchmaking industry, because yes, 83 00:04:54,400 --> 00:04:57,159 Speaker 1: I did not realize this, but in the United States, 84 00:04:57,320 --> 00:05:02,760 Speaker 1: matchmaking is a lucrative industry. Yeah, like a two hundred 85 00:05:02,800 --> 00:05:06,040 Speaker 1: and fifty million dollar industry. Uh. This is according to 86 00:05:06,080 --> 00:05:10,120 Speaker 1: the Matchmaking Institute, who knew there was such a thing. Um, 87 00:05:10,160 --> 00:05:13,960 Speaker 1: But according to them, there's matchmaking professionals in the US. 88 00:05:14,080 --> 00:05:16,320 Speaker 1: Well that was in two thousand and six, so gosh, 89 00:05:16,760 --> 00:05:20,680 Speaker 1: gi Gali, there's probably a whole lot more. They're probably more. Yeah, 90 00:05:20,720 --> 00:05:25,640 Speaker 1: but it's interesting that the industry within and without is 91 00:05:25,720 --> 00:05:29,440 Speaker 1: dominated by women, both the matchmakers themselves and the clients, 92 00:05:30,040 --> 00:05:35,120 Speaker 1: which used to not be the case on the clients side. Um. Actually, 93 00:05:35,120 --> 00:05:38,240 Speaker 1: the reason why we ended up doing this match making 94 00:05:38,279 --> 00:05:42,599 Speaker 1: episode was because of an article that was published a 95 00:05:42,640 --> 00:05:46,240 Speaker 1: couple of weeks ago on The Daily Beast talking about 96 00:05:46,320 --> 00:05:51,200 Speaker 1: this new trend in the matchmaking industry where they're catering 97 00:05:51,480 --> 00:05:56,720 Speaker 1: to wealthy, middle aged and older women because it used 98 00:05:56,760 --> 00:06:00,719 Speaker 1: to be the matchmaker professional matchmakers I should say, catered 99 00:06:00,880 --> 00:06:05,880 Speaker 1: specifically to wealthy dudes. Right. But you know, as demographics 100 00:06:05,880 --> 00:06:10,520 Speaker 1: have changed and more women are in higher power, higher 101 00:06:10,520 --> 00:06:15,799 Speaker 1: power jobs, whatever, it becomes harder to meet that magical someone, apparently, 102 00:06:15,839 --> 00:06:18,760 Speaker 1: particularly if you're in New York. Like that kept coming 103 00:06:18,839 --> 00:06:20,680 Speaker 1: up over and over again that people in New York 104 00:06:20,680 --> 00:06:22,800 Speaker 1: are spending a lot of money finding the right person, 105 00:06:23,160 --> 00:06:25,440 Speaker 1: and you know what side note like totally derailing. I 106 00:06:25,480 --> 00:06:27,000 Speaker 1: have talked to friends who have lived in New York 107 00:06:27,040 --> 00:06:28,839 Speaker 1: and you're like, it's really hard to find a date 108 00:06:28,920 --> 00:06:32,120 Speaker 1: even for you know, like average people. Not so imagine 109 00:06:32,120 --> 00:06:34,560 Speaker 1: what it's like if you're you know, Martha Stewart or somebody. Well, 110 00:06:34,600 --> 00:06:36,680 Speaker 1: don't they call it the loneliest city in the world. 111 00:06:37,320 --> 00:06:40,200 Speaker 1: It just surrounded by people I will now, but no 112 00:06:40,279 --> 00:06:43,920 Speaker 1: one to date. But speaking of New York, it is 113 00:06:44,040 --> 00:06:50,400 Speaker 1: the number one center for matchmaking of the matchmaking industry. 114 00:06:50,400 --> 00:06:55,480 Speaker 1: That's most lucrative market, followed by Los Angeles, Chicago, and 115 00:06:55,520 --> 00:07:01,160 Speaker 1: coming in at number four representing our our town in 116 00:07:01,160 --> 00:07:05,440 Speaker 1: which we live Atlanta hot Atlanta not so hot. Apparently 117 00:07:05,480 --> 00:07:07,720 Speaker 1: the players are not playing or maybe the players are 118 00:07:07,720 --> 00:07:12,160 Speaker 1: playing too much, the players just need some help playing um. 119 00:07:12,320 --> 00:07:14,840 Speaker 1: And then finally at number five, this is coming from 120 00:07:14,840 --> 00:07:18,480 Speaker 1: again the Matchmaking Institute, which was the best source for 121 00:07:18,640 --> 00:07:21,600 Speaker 1: industry data, because it is a very niche industry as 122 00:07:21,600 --> 00:07:24,640 Speaker 1: you can imagine. But number five at Minneapolis St. Paul, 123 00:07:25,280 --> 00:07:27,480 Speaker 1: Yeah right, because it's cold. I wonder if that has 124 00:07:27,520 --> 00:07:30,520 Speaker 1: anything to do with big cities people stick to their 125 00:07:30,520 --> 00:07:33,880 Speaker 1: own and don't really Maybe branch out from their groups 126 00:07:33,880 --> 00:07:35,920 Speaker 1: and get to know new people. Yeah, you're in uh, 127 00:07:36,040 --> 00:07:39,240 Speaker 1: you're in a large urban area that's dominated by you know, 128 00:07:39,400 --> 00:07:42,560 Speaker 1: professionals who are working constantly, especially when you climb up 129 00:07:42,560 --> 00:07:46,200 Speaker 1: into the into the higher ranks. The reason why professional 130 00:07:46,200 --> 00:07:50,160 Speaker 1: match makers tend to cater to wealthier clientele is because 131 00:07:50,680 --> 00:07:53,720 Speaker 1: they don't have time to go, you know, on to 132 00:07:53,960 --> 00:07:56,520 Speaker 1: two mixers or do speed dating, or try to go 133 00:07:56,560 --> 00:07:58,600 Speaker 1: on date after date hoping to find someone who's a 134 00:07:58,600 --> 00:08:02,480 Speaker 1: matching needs someone to kind do that for them and um. 135 00:08:02,720 --> 00:08:08,520 Speaker 1: Matchmakers today also attribute the popularity of online dating to 136 00:08:09,280 --> 00:08:13,160 Speaker 1: the lucrative industry that they're now in. Like a lot 137 00:08:13,200 --> 00:08:17,040 Speaker 1: of people have turned from online dating, they're saying to 138 00:08:17,440 --> 00:08:22,040 Speaker 1: professional matchmakers because of horror stories. Yeah, people are having 139 00:08:22,080 --> 00:08:24,640 Speaker 1: all this bad luck and online dating, and so they 140 00:08:24,680 --> 00:08:27,440 Speaker 1: don't want to leave things quite as up to chance 141 00:08:28,000 --> 00:08:30,080 Speaker 1: as you tend to do with online dating, because even 142 00:08:30,080 --> 00:08:31,760 Speaker 1: though you can go on these sites and like have 143 00:08:31,920 --> 00:08:34,719 Speaker 1: percentages that match you, they don't take ano account really 144 00:08:34,800 --> 00:08:38,440 Speaker 1: how you are with people. So maybe there's the hope 145 00:08:38,440 --> 00:08:40,559 Speaker 1: that with a matchmaker, someone who meets you in person 146 00:08:40,640 --> 00:08:43,120 Speaker 1: meets the other person, they can kind of get a 147 00:08:43,120 --> 00:08:47,200 Speaker 1: better feel for who you would be better with, right. Uh. 148 00:08:47,240 --> 00:08:50,720 Speaker 1: And speaking of which, why don't we walk through the 149 00:08:50,760 --> 00:08:55,160 Speaker 1: matchmaking process? And this is coming from articles in the 150 00:08:55,160 --> 00:08:59,559 Speaker 1: New York Times magazine and New York Times profiling in particular, 151 00:09:00,160 --> 00:09:04,920 Speaker 1: Manhattan's most famous matchmaker lady named Janice Spindle, who has 152 00:09:04,960 --> 00:09:07,760 Speaker 1: created a matchmaking empire. It sounds like a fairy godmother. 153 00:09:08,160 --> 00:09:14,280 Speaker 1: Janice Spindle. Uh yeah, Spindle will actually go out and 154 00:09:14,440 --> 00:09:18,000 Speaker 1: actively recruit clients. She will, and she she's one of 155 00:09:18,040 --> 00:09:22,679 Speaker 1: those matchmakers who cater specifically two men, and so she 156 00:09:22,760 --> 00:09:27,360 Speaker 1: will in airports, in restaurants, at parties, walk up to 157 00:09:27,520 --> 00:09:33,240 Speaker 1: attractive men not wearing wedding rings, who were probably in suits. 158 00:09:33,400 --> 00:09:36,360 Speaker 1: I mean, they've got the cash to spend on a matchmaker, 159 00:09:37,000 --> 00:09:40,640 Speaker 1: and she she'll just go up and say, hey, hey fella, 160 00:09:42,000 --> 00:09:44,640 Speaker 1: let me let me find you love. I'm not propositioning, 161 00:09:45,280 --> 00:09:47,240 Speaker 1: you know, really, I have a business deal. Yeah. She 162 00:09:47,360 --> 00:09:49,679 Speaker 1: has to clarify that because they'll they'll look confused at 163 00:09:49,679 --> 00:09:51,679 Speaker 1: first because she'll start talking about dating in romance and 164 00:09:51,679 --> 00:09:53,160 Speaker 1: then notice that she has a wedding band on and 165 00:09:53,240 --> 00:09:55,320 Speaker 1: she has to be like, no, no, no, I want 166 00:09:55,320 --> 00:09:58,679 Speaker 1: to help you find someone else, not me, Well, there 167 00:09:58,800 --> 00:10:01,920 Speaker 1: is that that high level matchmaking stuff, but sometimes they 168 00:10:01,960 --> 00:10:04,720 Speaker 1: do it. They attract clients through ads or online searches 169 00:10:04,800 --> 00:10:07,040 Speaker 1: or just word of mouth kind of whatever gets their 170 00:10:07,040 --> 00:10:10,880 Speaker 1: message out there. And there's usually some kind of initial consultation, 171 00:10:11,000 --> 00:10:12,960 Speaker 1: just like you want when you get a fancy haircut, 172 00:10:13,559 --> 00:10:16,720 Speaker 1: just to find out what the people are looking for. Um. 173 00:10:16,760 --> 00:10:19,679 Speaker 1: If if it goes forward, if things are positive, their 174 00:10:19,720 --> 00:10:25,240 Speaker 1: membership dues exchanged. Uh, maybe dates are called from some 175 00:10:25,480 --> 00:10:29,600 Speaker 1: bank of eligible young men and women. Yeah. And speaking 176 00:10:29,760 --> 00:10:34,760 Speaker 1: of the membership fee, here's the thing about professional matchmakers. 177 00:10:35,480 --> 00:10:39,720 Speaker 1: They cost a lot more than online dating will probably 178 00:10:39,800 --> 00:10:44,000 Speaker 1: cost you UM to get into the Millionaire Matchmaker Club. 179 00:10:44,040 --> 00:10:46,080 Speaker 1: And this is from the Wall Street Journal. I'm not 180 00:10:46,160 --> 00:10:50,040 Speaker 1: just quoting reality television. They interviewed Patty Singer about her 181 00:10:50,559 --> 00:10:54,920 Speaker 1: empire that she has built. UM of the base membership 182 00:10:55,000 --> 00:10:58,320 Speaker 1: fee to get into the Millionaire Matchmakers Club cost forty 183 00:10:59,040 --> 00:11:03,080 Speaker 1: dollars a year UM. But for a little more of 184 00:11:03,120 --> 00:11:07,160 Speaker 1: a representative price point for the industry wide. UM, a 185 00:11:07,320 --> 00:11:10,640 Speaker 1: third of matchmaker clients spend between three thousand and five 186 00:11:10,679 --> 00:11:14,640 Speaker 1: thousand per year on dating services. That's still a lot. 187 00:11:14,760 --> 00:11:16,480 Speaker 1: That's crazy and I would just like to point something 188 00:11:16,520 --> 00:11:19,839 Speaker 1: out that that seems a little insane to me. Yes, 189 00:11:20,120 --> 00:11:24,760 Speaker 1: you might spend forty dollars with Patty Sanger, but according 190 00:11:24,880 --> 00:11:28,240 Speaker 1: according to miss Singer, you might spend two hundred grand 191 00:11:28,320 --> 00:11:32,440 Speaker 1: on quote more personalized services and individualized attention. And so 192 00:11:32,480 --> 00:11:35,320 Speaker 1: I'm just I'm just wondering, what what does that mean 193 00:11:35,320 --> 00:11:39,680 Speaker 1: for the attention you're getting for forty grand. It's a 194 00:11:39,720 --> 00:11:42,720 Speaker 1: good question, like what sets you apart on the forty 195 00:11:42,720 --> 00:11:45,160 Speaker 1: grand level, on the two grand level? Like I would 196 00:11:45,160 --> 00:11:48,800 Speaker 1: want forty grand to be pretty personal. Maybe two grand 197 00:11:48,840 --> 00:11:52,720 Speaker 1: guarantees you a cameo on the show, and maybe that 198 00:11:52,760 --> 00:11:55,440 Speaker 1: pays all the insurance costs for the show. Um, the 199 00:11:55,640 --> 00:12:00,480 Speaker 1: average professional matchmaker in New York City will earn not 200 00:12:00,760 --> 00:12:03,600 Speaker 1: too bad of a living seventy eight grand per year, 201 00:12:03,640 --> 00:12:06,679 Speaker 1: although I guess in Manhattan terms, I don't New York folks. 202 00:12:06,800 --> 00:12:08,720 Speaker 1: I mean, that sounds like a lot of money down 203 00:12:08,760 --> 00:12:13,000 Speaker 1: here in Atlanta. But perhaps that it's I mean, it's 204 00:12:13,000 --> 00:12:16,040 Speaker 1: not obviously matchmakers, what I'm trying to say, make a 205 00:12:16,040 --> 00:12:19,480 Speaker 1: lot less than their clients. Still, yeah, Well, Kristen mentioned 206 00:12:19,480 --> 00:12:22,200 Speaker 1: that Daily Beast article a little bit ago, and Paula 207 00:12:22,240 --> 00:12:26,400 Speaker 1: Frolick who's the writer actually called Stanger cantankerous in it, 208 00:12:26,960 --> 00:12:32,120 Speaker 1: and she differentiates between Stanger, Miss Patti Stanger and these 209 00:12:32,240 --> 00:12:35,520 Speaker 1: this quote unquote new breed of high end matchmakers who 210 00:12:35,600 --> 00:12:39,160 Speaker 1: run background checks on clients and dates and only actually 211 00:12:39,160 --> 00:12:44,199 Speaker 1: except about twenty of potential clients there. It's it's very exclusive, yeah, 212 00:12:44,240 --> 00:12:46,400 Speaker 1: because you want to make sure that you're setting someone 213 00:12:46,520 --> 00:12:50,360 Speaker 1: up with a quality person who who matches them on 214 00:12:50,840 --> 00:12:53,079 Speaker 1: different levels, who might not be you know, someone who 215 00:12:53,080 --> 00:12:57,440 Speaker 1: could be married or maybe they don't have the best 216 00:12:57,520 --> 00:13:02,680 Speaker 1: of intentions for wanting to core a very wealthy person. Um, 217 00:13:02,800 --> 00:13:06,480 Speaker 1: So getting back into the process once they've plunked down 218 00:13:07,120 --> 00:13:12,280 Speaker 1: their money, Uh, what happens next? Because it's actually it's 219 00:13:12,280 --> 00:13:15,560 Speaker 1: a grooming process. A lot of times when you pay 220 00:13:15,640 --> 00:13:19,240 Speaker 1: for a membership, it's a year long process that you 221 00:13:19,360 --> 00:13:22,920 Speaker 1: go through unless you're insanely lucky and on your first 222 00:13:22,960 --> 00:13:27,319 Speaker 1: date it's magic and then wedding bills with chime. Yeah, 223 00:13:27,360 --> 00:13:30,280 Speaker 1: and then you can be on a Patty Sanger special 224 00:13:30,760 --> 00:13:35,440 Speaker 1: perhaps maker special, yes, But a lot of times, um, 225 00:13:36,000 --> 00:13:40,520 Speaker 1: the matchmaker doubles as a sort of dating coach. Um, 226 00:13:40,559 --> 00:13:43,160 Speaker 1: you might end up getting set up with an image 227 00:13:43,160 --> 00:13:46,840 Speaker 1: consultant if say, you do have a flock of seagulls here, 228 00:13:47,080 --> 00:13:49,680 Speaker 1: don't don't be the guy who fights it. Don't fight 229 00:13:49,679 --> 00:13:54,080 Speaker 1: the makeover. Get rid of the pleated pants. You know 230 00:13:54,240 --> 00:13:57,800 Speaker 1: some some men look nice and pleated pants. I don't know. 231 00:13:57,880 --> 00:14:01,240 Speaker 1: Sometimes the makeovers go overboard, I'm to say it, but 232 00:14:01,240 --> 00:14:05,120 Speaker 1: but yeah, because even sometimes they will recommend cosmetic surgery, 233 00:14:05,280 --> 00:14:07,800 Speaker 1: but other times, other times it's a little bit of 234 00:14:08,120 --> 00:14:12,760 Speaker 1: physical training, some dieting. You might even do an at 235 00:14:12,800 --> 00:14:17,400 Speaker 1: home makeover if you have kind of a scary bachelor 236 00:14:17,440 --> 00:14:23,560 Speaker 1: pad that is not very um conducive to coupling. Um. 237 00:14:24,120 --> 00:14:27,800 Speaker 1: And then they also want to get more information on 238 00:14:28,200 --> 00:14:33,160 Speaker 1: things like your family background, education, hobbies, interest, religious background, 239 00:14:33,800 --> 00:14:38,280 Speaker 1: personal values and morals if you want kids, that's important, 240 00:14:38,360 --> 00:14:43,640 Speaker 1: you know, uh, previous relationships, and also relationship deal breakers. 241 00:14:44,240 --> 00:14:47,720 Speaker 1: Matchmakers get pretty quick into digging into not so much 242 00:14:47,760 --> 00:14:50,480 Speaker 1: your future, but first let's figure out your past and 243 00:14:50,520 --> 00:14:53,360 Speaker 1: how you got here. So kind of in a way, 244 00:14:53,480 --> 00:14:57,920 Speaker 1: it's like the matchmaker is dating the client. Yeah, well, 245 00:14:57,920 --> 00:14:59,360 Speaker 1: it's kind of. When you hear about all the stuff 246 00:14:59,400 --> 00:15:00,880 Speaker 1: they have to do, it's no wonder they charge so 247 00:15:00,920 --> 00:15:03,440 Speaker 1: much money because they're basically like if they're if they're 248 00:15:03,440 --> 00:15:05,600 Speaker 1: taking you, if they're doing the Patty Sanger and they're 249 00:15:05,640 --> 00:15:08,520 Speaker 1: taking you into a room of potential dates, they're basically 250 00:15:08,560 --> 00:15:12,080 Speaker 1: your escort. You know, they're your party planner, not you know, 251 00:15:12,400 --> 00:15:14,560 Speaker 1: it's it's it's a lot, it's a lot to handle there. 252 00:15:14,600 --> 00:15:16,800 Speaker 1: They're kind of your personal consultant for quite a while. 253 00:15:16,920 --> 00:15:20,840 Speaker 1: And obviously different kinds of matchmakers will provide different kinds 254 00:15:20,880 --> 00:15:23,560 Speaker 1: of services, some of which will be a little more 255 00:15:23,640 --> 00:15:26,360 Speaker 1: of that one on one intensive. Others will be just 256 00:15:26,760 --> 00:15:29,920 Speaker 1: to literally set you up on one on one dates 257 00:15:29,920 --> 00:15:33,720 Speaker 1: with people, rather than escorting you to parties or two um, 258 00:15:33,760 --> 00:15:37,200 Speaker 1: almost like date auditions that you might see on reality 259 00:15:37,320 --> 00:15:41,720 Speaker 1: television shows. Yeah, but one uh one type of matchmaking 260 00:15:41,720 --> 00:15:45,320 Speaker 1: we haven't talked about yet. It is the traditional kind. Yeah, 261 00:15:45,400 --> 00:15:50,160 Speaker 1: let's talk about the traditional matchmaking because I mentioned that 262 00:15:50,520 --> 00:15:53,160 Speaker 1: one of the first things the matchmaker will find out 263 00:15:53,200 --> 00:15:57,160 Speaker 1: about with the client are cultural and religious backgrounds, and 264 00:15:57,240 --> 00:16:02,160 Speaker 1: sometimes they will refer that client to another matchmaking service 265 00:16:02,280 --> 00:16:07,440 Speaker 1: if they are specifically, say looking for an Orthodox Jewish wife, 266 00:16:07,520 --> 00:16:10,440 Speaker 1: or you know, some kind of they're looking for a 267 00:16:10,480 --> 00:16:15,160 Speaker 1: person to fit a specific um ethnic or religious or 268 00:16:15,240 --> 00:16:19,400 Speaker 1: cultural model. Yeah, it was really interesting. Reading about all 269 00:16:19,400 --> 00:16:23,480 Speaker 1: these different cultural uh, these matchmaking traditions, because I had 270 00:16:23,520 --> 00:16:26,360 Speaker 1: no idea. I kind of had an idea about Hindu 271 00:16:26,440 --> 00:16:28,960 Speaker 1: traditions just because my friend Diepa just got married. She 272 00:16:29,080 --> 00:16:32,640 Speaker 1: did not she had a traditional Indian ceremony, but she 273 00:16:32,760 --> 00:16:35,200 Speaker 1: wasn't it wasn't an arranged marriage as you might think 274 00:16:35,240 --> 00:16:38,000 Speaker 1: of a traditional Hindu ceremony. So I kind of knew 275 00:16:38,000 --> 00:16:39,440 Speaker 1: about that. And it was a beautiful wedding and all 276 00:16:39,440 --> 00:16:42,080 Speaker 1: that stuff, and I were sorry it was great. Um, 277 00:16:42,120 --> 00:16:45,760 Speaker 1: but yeah, So, speaking of Hindu tradition, marriage is a 278 00:16:45,800 --> 00:16:50,800 Speaker 1: cornerstone of Hindu faith, and the family typically functions as 279 00:16:51,400 --> 00:16:55,960 Speaker 1: the matchmaker, and in India in particular, this whole matchmaking 280 00:16:56,000 --> 00:16:59,200 Speaker 1: thing has existed since the fourth century. Yeah, we've done 281 00:16:59,200 --> 00:17:03,800 Speaker 1: an episode up podcast a while ago on arranged marriages. 282 00:17:03,920 --> 00:17:07,920 Speaker 1: And while this idea of paying someone paying a professional 283 00:17:07,960 --> 00:17:11,720 Speaker 1: matchmaker might seem kind of novel by our westernized standards, 284 00:17:11,720 --> 00:17:15,159 Speaker 1: and even the idea of arranged marriage might seem kind 285 00:17:15,200 --> 00:17:20,320 Speaker 1: of strange, in fact, around the world, sixty of marriages 286 00:17:20,880 --> 00:17:23,560 Speaker 1: are arranged. And while you might not have someone like 287 00:17:23,600 --> 00:17:28,480 Speaker 1: a Patty Singer coming in obviously and saying what's what, uh, 288 00:17:28,840 --> 00:17:32,600 Speaker 1: you'll you'll still have either people designated people in your 289 00:17:32,640 --> 00:17:38,480 Speaker 1: community or family members who serve as the matchmakers. And 290 00:17:38,520 --> 00:17:42,360 Speaker 1: a lot of times it does focus around religious elements. 291 00:17:42,359 --> 00:17:45,480 Speaker 1: You mentioned Hinduism and then it also comes up, of 292 00:17:45,520 --> 00:17:52,320 Speaker 1: course with Orthodox Judaism. Right. Yeah. Fathers are traditionally selecting 293 00:17:52,320 --> 00:17:55,760 Speaker 1: the grooms, and they might request assistance from a Oh, 294 00:17:55,800 --> 00:17:59,040 Speaker 1: I hope I get this right, uh shot kun shakn 295 00:17:59,320 --> 00:18:03,160 Speaker 1: oh hey, hey, I looked at my Yiddish pronunciations. Now, 296 00:18:03,280 --> 00:18:06,680 Speaker 1: I literally just snapped at her because I am so impressed. Um. 297 00:18:06,720 --> 00:18:09,800 Speaker 1: I looked at pronunciations and I was like, oh gosh, 298 00:18:09,840 --> 00:18:13,720 Speaker 1: going blind into this. Um. So Yeah, and matchmakers do 299 00:18:13,960 --> 00:18:16,840 Speaker 1: typically team up with rabbis to help pair up couples. 300 00:18:17,359 --> 00:18:21,840 Speaker 1: And while the Torah dictates that these fency individuals be 301 00:18:21,920 --> 00:18:26,159 Speaker 1: paid Kristen shotguns, thank you, uh, some of the Jewish 302 00:18:26,160 --> 00:18:29,399 Speaker 1: matchmakers refuse payments, saying that really it's their divine calling 303 00:18:29,520 --> 00:18:32,760 Speaker 1: and that they are meant to do this. Yeah. And 304 00:18:33,200 --> 00:18:38,719 Speaker 1: one little language lesson um, especially because we did mention 305 00:18:39,040 --> 00:18:42,960 Speaker 1: Fiddler on the Roof and the matchmaker's character in Fiddler 306 00:18:42,960 --> 00:18:44,879 Speaker 1: on the Roof For anyone who's not familiar with this, 307 00:18:45,200 --> 00:18:49,439 Speaker 1: her name is yenta, And a lot of times people 308 00:18:49,680 --> 00:18:55,639 Speaker 1: will use the word yenta interchangeably with matchmaker, but in 309 00:18:55,840 --> 00:19:01,040 Speaker 1: fact that is incorrect. You a short yenta merely refers 310 00:19:01,080 --> 00:19:05,200 Speaker 1: to an older woman who likes to gossip, whereas if 311 00:19:05,200 --> 00:19:10,480 Speaker 1: you're talking about a matchmaker, the correct word is shot 312 00:19:10,560 --> 00:19:13,879 Speaker 1: hunt for a man and shot hunted for a woman. 313 00:19:14,200 --> 00:19:17,359 Speaker 1: And any Kiddish speaking listeners out there, I hope that 314 00:19:17,400 --> 00:19:20,640 Speaker 1: I'm doing that. Yeah, just feel free to record yourself 315 00:19:20,640 --> 00:19:25,080 Speaker 1: saying it and sending it to us. Yeah. Um. Well. 316 00:19:25,080 --> 00:19:28,000 Speaker 1: There's also the Muslim tradition where aunties and other family 317 00:19:28,000 --> 00:19:33,080 Speaker 1: members find potential mates in their social networks. Um chaperone 318 00:19:33,160 --> 00:19:38,679 Speaker 1: meetings are typical, but key both parties are allowed to 319 00:19:38,680 --> 00:19:40,879 Speaker 1: give the thumbs down in accordance with the Koran. And 320 00:19:40,880 --> 00:19:43,399 Speaker 1: this is because a story in the Koran showed that 321 00:19:43,480 --> 00:19:46,480 Speaker 1: Mohammed actually did spare a young woman from compulsory marriage. 322 00:19:46,680 --> 00:19:49,840 Speaker 1: So just because maybe your auntie set you up with 323 00:19:49,880 --> 00:19:51,520 Speaker 1: the boy down the street, doesn't mean you have to 324 00:19:51,520 --> 00:19:54,480 Speaker 1: give it a thumbs up, right, But and it's I 325 00:19:54,520 --> 00:19:56,480 Speaker 1: don't know. It's it's interesting to see how with all 326 00:19:56,640 --> 00:20:01,640 Speaker 1: of these major religions, obviously marriage place such a central 327 00:20:01,800 --> 00:20:06,159 Speaker 1: role in each of them, and this smatchmaking tradition in 328 00:20:06,160 --> 00:20:09,639 Speaker 1: their own different ways has gone back and then like 329 00:20:09,680 --> 00:20:13,120 Speaker 1: stretches back in all of the their respective religious texts 330 00:20:13,560 --> 00:20:18,040 Speaker 1: as well. UM, and so why we find it, I 331 00:20:18,080 --> 00:20:21,199 Speaker 1: don't know, strange at all that people might look to 332 00:20:21,240 --> 00:20:25,400 Speaker 1: an outside party to for help with finding their partner. Well, 333 00:20:25,440 --> 00:20:27,720 Speaker 1: it feels it feels to me, I mean, as someone 334 00:20:27,760 --> 00:20:30,480 Speaker 1: who that's definitely alien to my culture in the way 335 00:20:30,520 --> 00:20:33,800 Speaker 1: that I was raised, like that just seems scary, you know, like, 336 00:20:33,800 --> 00:20:35,679 Speaker 1: oh my god, you're gonna bring in who for me 337 00:20:35,760 --> 00:20:37,560 Speaker 1: to marry, Like who's to say I'm even kind of 338 00:20:37,600 --> 00:20:45,160 Speaker 1: like this person. But statistically, arranged marriages last longer, that's true. 339 00:20:45,359 --> 00:20:49,480 Speaker 1: And then for love marriages, right the it's between five 340 00:20:49,520 --> 00:20:52,080 Speaker 1: and seven percent of arranged marriages will end in divorce. 341 00:20:52,520 --> 00:20:57,360 Speaker 1: But you also have to take into account uh, cultural 342 00:20:57,400 --> 00:21:01,120 Speaker 1: traditions and legalities that might strongly just courage or prevent 343 00:21:01,200 --> 00:21:05,280 Speaker 1: you from dissolving a marriage. But they're anecdotally though. If 344 00:21:05,320 --> 00:21:08,400 Speaker 1: you read about UM arranged couples today, and we talked 345 00:21:08,400 --> 00:21:10,879 Speaker 1: about this again in the podcast that we did a 346 00:21:10,920 --> 00:21:14,240 Speaker 1: while ago on arranged marriages, they you know, there isn't 347 00:21:14,240 --> 00:21:17,280 Speaker 1: an expectation of being madly in love when you're at 348 00:21:17,280 --> 00:21:19,719 Speaker 1: the altar, but that a love will develop. You know, 349 00:21:19,840 --> 00:21:24,760 Speaker 1: it's more of like a a kindred intimacy rather than 350 00:21:24,800 --> 00:21:28,080 Speaker 1: this passionate love that we that we think about and 351 00:21:28,240 --> 00:21:31,080 Speaker 1: that whole notion of love marriage. As we've talked about 352 00:21:31,080 --> 00:21:35,840 Speaker 1: before in the podcast UM referencing Marriage a History by 353 00:21:35,840 --> 00:21:37,719 Speaker 1: Stephanie Coonts, which is a great book if you ever 354 00:21:37,760 --> 00:21:40,159 Speaker 1: want to check it out. UM. She talks about how 355 00:21:40,800 --> 00:21:45,520 Speaker 1: the concept of marrying for love is so new comparatively 356 00:21:45,640 --> 00:21:48,600 Speaker 1: in our history. It only came about in the West, 357 00:21:48,680 --> 00:21:52,640 Speaker 1: starting in the seventeen hundreds. Well, if you think about 358 00:21:52,680 --> 00:21:57,160 Speaker 1: it too, with arranged marriages and and matchmakers and everything, 359 00:21:57,280 --> 00:22:01,280 Speaker 1: they're they're not just willy nilly necessary well ideally, they're 360 00:22:01,280 --> 00:22:03,680 Speaker 1: not willingly just picking somebody for you. They are looking 361 00:22:03,680 --> 00:22:06,760 Speaker 1: at your background, your family, your interests, you know, your 362 00:22:06,800 --> 00:22:10,280 Speaker 1: religious beliefs and all that and finding someone who lines 363 00:22:10,359 --> 00:22:12,399 Speaker 1: up with that. And uh read A Seth who's the 364 00:22:12,400 --> 00:22:15,400 Speaker 1: author of the book First Comes Marriage, interviewed more than 365 00:22:15,560 --> 00:22:19,040 Speaker 1: three hundred women in arranged marriages and found that families 366 00:22:19,119 --> 00:22:22,919 Speaker 1: play a huge role in matchmaking and the marriage. And 367 00:22:22,920 --> 00:22:24,760 Speaker 1: he said that it's not just about the two of you, 368 00:22:24,840 --> 00:22:26,680 Speaker 1: and I think that over the long term, that takes 369 00:22:26,720 --> 00:22:30,480 Speaker 1: a lot of pressure off the relationship. Yeah, and um 370 00:22:30,720 --> 00:22:36,000 Speaker 1: scientific research would also back up this common thread among 371 00:22:36,040 --> 00:22:39,840 Speaker 1: most matchmakers, whether it's a totally secular matchmaker who is 372 00:22:40,320 --> 00:22:44,560 Speaker 1: making lots of money in Manhattan or elsewhere, um, or 373 00:22:45,160 --> 00:22:49,199 Speaker 1: you know these matchmakers in um different societies around the world. 374 00:22:49,720 --> 00:22:53,320 Speaker 1: It's it always goes a good match always goes back 375 00:22:53,359 --> 00:22:57,240 Speaker 1: to that common background. Where did you grow up, what 376 00:22:57,440 --> 00:23:00,000 Speaker 1: is your religion, what was your family like, what's your 377 00:23:00,119 --> 00:23:05,080 Speaker 1: education level? Those basic kind of things that seem incredibly unromantic. 378 00:23:05,440 --> 00:23:08,120 Speaker 1: But if we're thinking about whether or not matchmakers are 379 00:23:08,200 --> 00:23:12,000 Speaker 1: successful or if matchmaking really works, um, if we look 380 00:23:12,160 --> 00:23:17,479 Speaker 1: into our evolutionary past, I mean human animals get together 381 00:23:17,600 --> 00:23:22,399 Speaker 1: based on a thing called assortative mating, which essentially means 382 00:23:22,560 --> 00:23:27,040 Speaker 1: like pairs up with like yeah, and this is um, 383 00:23:27,080 --> 00:23:30,679 Speaker 1: this isn't the spark. Yeah, this is the foundation basically, 384 00:23:30,760 --> 00:23:33,880 Speaker 1: the the similarities you have, the the way that you're 385 00:23:33,920 --> 00:23:37,680 Speaker 1: going to go forward with the same values. And when 386 00:23:37,960 --> 00:23:40,280 Speaker 1: all you are is caught up in the spark maybe 387 00:23:40,359 --> 00:23:43,040 Speaker 1: or the sexual attraction of a relationship, you might miss 388 00:23:43,080 --> 00:23:45,800 Speaker 1: the fact that the relationship you're in doesn't have a 389 00:23:45,840 --> 00:23:49,120 Speaker 1: true foundation. Yeah. There is a study published in two 390 00:23:49,160 --> 00:23:53,720 Speaker 1: thousand eight in the Journal of Evolutionary Psychology that talked 391 00:23:53,800 --> 00:23:58,359 Speaker 1: to participants about their ideal partner and whether or not 392 00:23:58,400 --> 00:24:02,080 Speaker 1: they were looking for qualities that were similar to them 393 00:24:02,320 --> 00:24:07,000 Speaker 1: or complementary, and by and large, participants said that they 394 00:24:07,119 --> 00:24:11,960 Speaker 1: wanted someone who was a similar personality and they had 395 00:24:12,080 --> 00:24:15,040 Speaker 1: you know, you've got People often have their lists of 396 00:24:15,080 --> 00:24:18,480 Speaker 1: what mr is right looks like, and so they told 397 00:24:18,480 --> 00:24:22,439 Speaker 1: the facilitators these lists of ideal traits. But when it 398 00:24:22,560 --> 00:24:26,320 Speaker 1: came down to the actual type of person that they 399 00:24:26,320 --> 00:24:31,240 Speaker 1: were looking for, it was more of a complimentary partner 400 00:24:31,720 --> 00:24:33,920 Speaker 1: than someone who was alike them. And so the researchers 401 00:24:33,920 --> 00:24:37,280 Speaker 1: are thinking with this, maybe we aren't so good at 402 00:24:37,359 --> 00:24:41,879 Speaker 1: knowing what we really need. I don't know, maybe we aren't. 403 00:24:41,880 --> 00:24:43,480 Speaker 1: My mother would say, I'm not going to knowing what 404 00:24:43,600 --> 00:24:48,400 Speaker 1: I need. But but then again, though your mother, while 405 00:24:48,520 --> 00:24:51,679 Speaker 1: she might be able to on paper, okay, point out 406 00:24:51,720 --> 00:24:54,640 Speaker 1: all of those complimentary traits, perhaps that would work best 407 00:24:54,640 --> 00:24:59,400 Speaker 1: for you. A two thousand twelve analysis of online matchmaking 408 00:24:59,480 --> 00:25:02,320 Speaker 1: those publish in the journal Psychological Science would say you 409 00:25:02,359 --> 00:25:04,560 Speaker 1: know what, Your mom might be able to pick someone 410 00:25:04,560 --> 00:25:07,920 Speaker 1: good on paper, but she's not gonna be able to 411 00:25:08,000 --> 00:25:14,480 Speaker 1: find the spark, which, in academic parlance and the words 412 00:25:14,520 --> 00:25:17,199 Speaker 1: of this two thousand and twelve study, it's referred to 413 00:25:17,280 --> 00:25:21,240 Speaker 1: as relationship aptitude. That's how you are with other people, 414 00:25:21,400 --> 00:25:24,639 Speaker 1: and not even necessarily how you are with like the 415 00:25:24,680 --> 00:25:27,399 Speaker 1: two of us together, but how you just are with people. 416 00:25:28,000 --> 00:25:30,560 Speaker 1: Like the way that Kristen Conger relates to people means 417 00:25:30,600 --> 00:25:34,320 Speaker 1: that she she just made a face that while I'm laughing, 418 00:25:34,359 --> 00:25:37,480 Speaker 1: I'm I'm not having a problem. Um, I means that 419 00:25:37,760 --> 00:25:40,439 Speaker 1: she would be good with you know, person X over person. 420 00:25:40,440 --> 00:25:44,120 Speaker 1: Why am I am? I kind of hitting it there? Yeah, 421 00:25:44,160 --> 00:25:46,200 Speaker 1: I mean I think that's like, uh, you know, a 422 00:25:46,320 --> 00:25:49,440 Speaker 1: sort of mating. When we think about that, uh, look 423 00:25:49,520 --> 00:25:51,959 Speaker 1: for someone if you want a good foundation, look for 424 00:25:52,000 --> 00:25:55,280 Speaker 1: someone who is kind of from the same place that 425 00:25:55,359 --> 00:25:59,760 Speaker 1: you are in or have been. That sounds really dreary 426 00:25:59,800 --> 00:26:02,880 Speaker 1: and so exciting, but you have to put on top 427 00:26:02,920 --> 00:26:06,800 Speaker 1: of that relationship aptitude that would push a friendship into 428 00:26:07,320 --> 00:26:12,080 Speaker 1: a more romantic relationship. Yeah. And and it's to find, 429 00:26:12,440 --> 00:26:13,880 Speaker 1: you know, just to give you a better idea. It's 430 00:26:13,920 --> 00:26:18,160 Speaker 1: the constellation of traits, preferences, and personal history that makes 431 00:26:18,160 --> 00:26:21,240 Speaker 1: a person more likely to have good relationships in general. 432 00:26:21,720 --> 00:26:25,879 Speaker 1: And supposedly these professional matchmakers are not only good at 433 00:26:25,880 --> 00:26:28,919 Speaker 1: peering up people on paper, but they supposedly have some 434 00:26:29,040 --> 00:26:34,720 Speaker 1: kind of sixth sense for keying in on people's relationship 435 00:26:35,040 --> 00:26:39,960 Speaker 1: aptitude and going that way perhaps after some coaching and grooming. Yeah, 436 00:26:40,000 --> 00:26:43,439 Speaker 1: no hot tub on the first date. That's right. Patty 437 00:26:43,440 --> 00:26:46,760 Speaker 1: Singer would say no sex before monogamy. But Patty Singer 438 00:26:46,840 --> 00:26:53,640 Speaker 1: also has lots of very reductive romantic advice. That is, yeah, 439 00:26:53,720 --> 00:26:57,600 Speaker 1: that says mentally like boobs and things. Yeah, well we 440 00:26:57,640 --> 00:27:02,200 Speaker 1: won't go there. Yeah this time in this episode, du dunt. 441 00:27:03,280 --> 00:27:06,800 Speaker 1: So there you have it. Match making, it has happened. 442 00:27:06,840 --> 00:27:09,560 Speaker 1: It's one of the one I forget which article it was, 443 00:27:09,920 --> 00:27:15,800 Speaker 1: but they described matchmaking as women's second oldest profession. But 444 00:27:15,960 --> 00:27:20,400 Speaker 1: don't so anyone who has played matchmaker. If you are 445 00:27:20,440 --> 00:27:24,720 Speaker 1: a matchmaker who has been set up successfully, we want 446 00:27:24,760 --> 00:27:27,240 Speaker 1: to hear your matchmaking stories. I mean, do you think 447 00:27:27,240 --> 00:27:29,720 Speaker 1: that people should, you know, keep their nose out of 448 00:27:29,760 --> 00:27:34,119 Speaker 1: other people's romantic business, or our friends better at setting 449 00:27:34,160 --> 00:27:37,000 Speaker 1: us up, or matchmakers perhaps better at setting us up 450 00:27:37,200 --> 00:27:39,680 Speaker 1: than we might be. And let's hear those stories about 451 00:27:39,680 --> 00:27:42,159 Speaker 1: the really bad dates, the blind date. You want that, 452 00:27:42,200 --> 00:27:46,040 Speaker 1: you want, the bad I want the horror stories. Well, 453 00:27:46,240 --> 00:27:50,480 Speaker 1: lots of stories come, I hope mom. Stuff at Discovery 454 00:27:50,560 --> 00:27:54,399 Speaker 1: dot com is where you can send those good, bad, ugly, 455 00:27:54,680 --> 00:27:59,439 Speaker 1: romantic and terrifying tales of dating and matchmaking. And in 456 00:27:59,480 --> 00:28:02,480 Speaker 1: the mean time, we have a couple of emails here 457 00:28:02,760 --> 00:28:10,760 Speaker 1: from our episode on gender and heroism. Okay, well, I 458 00:28:10,800 --> 00:28:14,360 Speaker 1: found an email here from Mary and she works with 459 00:28:14,840 --> 00:28:18,400 Speaker 1: the E M. S. And she says the podcast got 460 00:28:18,440 --> 00:28:22,640 Speaker 1: me thinking about our triage protocols. When resources are insufficient, 461 00:28:22,680 --> 00:28:25,520 Speaker 1: we have to move on from some patients whose survivability 462 00:28:25,560 --> 00:28:29,040 Speaker 1: is low and help where we can make the most difference. However, 463 00:28:29,040 --> 00:28:31,720 Speaker 1: when faced with a child in peril, it's not uncommon 464 00:28:31,760 --> 00:28:34,440 Speaker 1: for paramedics to work on a child with little chance 465 00:28:34,480 --> 00:28:37,439 Speaker 1: of survival, sometimes a situation which would result in an 466 00:28:37,440 --> 00:28:40,880 Speaker 1: adult patient being classified as dead on arrival. When a 467 00:28:40,960 --> 00:28:43,280 Speaker 1: child is in the same situation, E M. S. Cruz 468 00:28:43,560 --> 00:28:48,400 Speaker 1: will transport. Once at the hospital, doctors, surgeons, janitors, nurses 469 00:28:48,440 --> 00:28:51,200 Speaker 1: and file clerks will drop everything to see if there 470 00:28:51,280 --> 00:28:53,040 Speaker 1: is anything they can do to help a child whose 471 00:28:53,080 --> 00:28:56,760 Speaker 1: death is inevitable, sometimes resulting in the diminished quality of 472 00:28:56,800 --> 00:29:00,600 Speaker 1: care to adult patients. Even with training and protocol, these 473 00:29:00,600 --> 00:29:04,360 Speaker 1: situations are difficult to avoid, especially in smaller hospitals. Just 474 00:29:04,440 --> 00:29:09,400 Speaker 1: one of the many challenges of practicing emergency medicine. That's 475 00:29:09,440 --> 00:29:14,800 Speaker 1: an interesting inside look onto r situations. Thank you, Mary Okay. 476 00:29:14,840 --> 00:29:18,480 Speaker 1: This is an email from ISKRIN also on our heroism 477 00:29:18,520 --> 00:29:23,200 Speaker 1: podcast uh It Starts. I'd like to congratulate you on 478 00:29:23,320 --> 00:29:26,840 Speaker 1: covering more deep and complex issues such as heroism. I'd 479 00:29:26,840 --> 00:29:28,720 Speaker 1: like to offer a point of view which you, along 480 00:29:28,720 --> 00:29:31,160 Speaker 1: with the rest of society, didn't touch on. Let me 481 00:29:31,200 --> 00:29:34,120 Speaker 1: paint you a picture. Imagine a curvy road and two 482 00:29:34,160 --> 00:29:37,080 Speaker 1: cars driving on it. The first car, occupied by one man, 483 00:29:37,200 --> 00:29:40,000 Speaker 1: misses a turn and crashes. The second car, occupied by 484 00:29:40,000 --> 00:29:43,200 Speaker 1: a couple, sees the accident and pulls over. The husband 485 00:29:43,200 --> 00:29:45,240 Speaker 1: from the second car manages to pull out the driver 486 00:29:45,280 --> 00:29:47,440 Speaker 1: of the first car, and he calls for help while 487 00:29:47,440 --> 00:29:50,240 Speaker 1: the ambulance arrives. The wife holds the injured man's hand 488 00:29:50,280 --> 00:29:52,840 Speaker 1: and comforts him. Later on, the medics arrive and save 489 00:29:52,920 --> 00:29:55,560 Speaker 1: the life of the driver. That's a pretty standard scenario 490 00:29:55,640 --> 00:29:57,240 Speaker 1: and more than likely the next day, there will be 491 00:29:57,240 --> 00:29:59,560 Speaker 1: an article in the local newspaper exalting the couple on 492 00:29:59,600 --> 00:30:02,560 Speaker 1: the medic on duty. At this point, most people consider 493 00:30:02,600 --> 00:30:05,360 Speaker 1: the case closed. However, it is not a day or 494 00:30:05,400 --> 00:30:08,200 Speaker 1: so after the accident, and engineers dispatched to the crash 495 00:30:08,200 --> 00:30:10,440 Speaker 1: site with the task of assessing the situation and coming 496 00:30:10,520 --> 00:30:13,480 Speaker 1: up with a plan to prevent future accidents. Over the 497 00:30:13,520 --> 00:30:16,720 Speaker 1: course of a few weeks or months, safety measures like finces, signs, 498 00:30:16,760 --> 00:30:19,240 Speaker 1: et cetera are built to prevent cars from going off 499 00:30:19,280 --> 00:30:21,920 Speaker 1: the road. One can argue that the engineer's work has 500 00:30:21,960 --> 00:30:24,840 Speaker 1: saved an infinitely greater number of lives than the married 501 00:30:24,880 --> 00:30:27,960 Speaker 1: couple and the medics, and yet the local newspaper doesn't 502 00:30:28,000 --> 00:30:31,120 Speaker 1: publish a follow up article on the preventative measures taken. 503 00:30:31,560 --> 00:30:34,600 Speaker 1: So here they are, the engineers, technician and scientists, the 504 00:30:34,720 --> 00:30:37,480 Speaker 1: unsung heroes of our society. So thank you for that, 505 00:30:38,240 --> 00:30:40,880 Speaker 1: and thanks to everyone who's written in Mom's Stuff at 506 00:30:40,920 --> 00:30:43,600 Speaker 1: discovery dot com is where you can send your letters. 507 00:30:43,960 --> 00:30:46,960 Speaker 1: You can also find us on Facebook, follow us on 508 00:30:47,000 --> 00:30:50,280 Speaker 1: Twitter at Mom's Stuff podcast, and guess what, We've got 509 00:30:50,360 --> 00:30:54,520 Speaker 1: something new for you to do as well, Ladies and gentlemen, 510 00:30:54,600 --> 00:30:57,560 Speaker 1: we are on Tumbler, so if you would like to 511 00:30:57,640 --> 00:31:00,520 Speaker 1: check out our blog over there, it still a lot 512 00:31:00,520 --> 00:31:05,240 Speaker 1: of fun stuff, so join us. Stuff mom never told you. 513 00:31:05,440 --> 00:31:07,959 Speaker 1: Dot Tumbler dot com is the U r L. 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