1 00:00:05,160 --> 00:00:07,680 Speaker 1: Hey, this is Annie and Samantha. I'm welcome to Stephanie 2 00:00:07,680 --> 00:00:19,279 Speaker 1: never told you production. I heart radio and welcome back. 3 00:00:19,400 --> 00:00:21,799 Speaker 1: And I guess we're doing a small mini Monday mini 4 00:00:21,920 --> 00:00:26,880 Speaker 1: series series. Yeah, there we go. Like that did not 5 00:00:26,960 --> 00:00:29,440 Speaker 1: make sense in my head because it kind of brought 6 00:00:29,440 --> 00:00:32,960 Speaker 1: back some conversations when we had the original. We were 7 00:00:33,000 --> 00:00:35,960 Speaker 1: a little sarcastic in the first episode about what was happy, 8 00:00:36,000 --> 00:00:37,720 Speaker 1: and then we talked a little more about what was 9 00:00:37,760 --> 00:00:40,600 Speaker 1: actually being said it's being happy or unhappy. We did 10 00:00:40,680 --> 00:00:42,640 Speaker 1: talk about people who are unhappy in this In the 11 00:00:42,720 --> 00:00:45,519 Speaker 1: third part, if you just listen, we talked about couples 12 00:00:45,840 --> 00:00:48,480 Speaker 1: and who are the happiest couples and just talking about 13 00:00:48,479 --> 00:00:51,800 Speaker 1: what some of those characteristics look like. And before we start, 14 00:00:51,880 --> 00:00:54,240 Speaker 1: I do need to know when's the last place you 15 00:00:54,320 --> 00:01:01,200 Speaker 1: went when we were traveling. It was Canada. It was Canada. Yeah, 16 00:01:01,240 --> 00:01:04,720 Speaker 1: because I was in Florida at the same time and 17 00:01:04,959 --> 00:01:08,840 Speaker 1: everything was slowly shutting down up. Yeah, I thought I 18 00:01:08,920 --> 00:01:10,880 Speaker 1: might not be able to get out of Canada. Oh 19 00:01:10,959 --> 00:01:14,000 Speaker 1: that was Oh yeah, you were like, I might be stucky. 20 00:01:17,840 --> 00:01:21,000 Speaker 1: I forgot about about it now I was. I mean, 21 00:01:21,120 --> 00:01:24,560 Speaker 1: after places to be stuck was not bad because you 22 00:01:24,560 --> 00:01:29,240 Speaker 1: were in Quebec. No, I was in uh oh my god, 23 00:01:29,280 --> 00:01:30,959 Speaker 1: what did I say? I was in Montreal. I was 24 00:01:30,959 --> 00:01:33,440 Speaker 1: in Montreal. I was very jealous because I wanted to 25 00:01:33,480 --> 00:01:35,160 Speaker 1: come and I didn't get it invite. But it's okay, 26 00:01:35,280 --> 00:01:37,160 Speaker 1: it's it's okay, it's okay. I got to hang out 27 00:01:37,160 --> 00:01:41,119 Speaker 1: with some of my cool People's ease Anna Holly, so 28 00:01:41,200 --> 00:01:43,080 Speaker 1: you know, at least I got to do that. The 29 00:01:43,120 --> 00:01:46,160 Speaker 1: reason I wanted to ask because I don't know if 30 00:01:46,160 --> 00:01:49,720 Speaker 1: it's anybody else. Everybody started to slowly travel. I've seen it, 31 00:01:49,760 --> 00:01:53,000 Speaker 1: and I've been very jealous of that, but I'm still 32 00:01:53,520 --> 00:01:56,600 Speaker 1: kind of weary, especially not all the mass mandates are gone, 33 00:01:56,600 --> 00:01:59,760 Speaker 1: and I'm like, hmm, yeah, I don't I'm gonna still wait. 34 00:02:00,440 --> 00:02:03,880 Speaker 1: But people are traveling. And it happened to be a 35 00:02:03,880 --> 00:02:07,240 Speaker 1: conversation that when we talk about happiness, what are some 36 00:02:07,320 --> 00:02:09,639 Speaker 1: of the happiest places? Because I was just like women 37 00:02:09,639 --> 00:02:11,800 Speaker 1: in happiness. That's how I started googling it, and then 38 00:02:11,800 --> 00:02:15,280 Speaker 1: it showed happiest cities, happiest countries, happiest places for women. 39 00:02:15,360 --> 00:02:16,919 Speaker 1: I was like, okay, well now we got to talk 40 00:02:16,919 --> 00:02:20,480 Speaker 1: about that obviously. Yeah, and so we have a few 41 00:02:20,560 --> 00:02:21,919 Speaker 1: articles and we're not going to read them, but we 42 00:02:22,000 --> 00:02:24,040 Speaker 1: will let you know which articles that talk about the 43 00:02:24,080 --> 00:02:28,200 Speaker 1: happiest countries in the world. All right, yes, so we 44 00:02:28,280 --> 00:02:32,920 Speaker 1: wanted to start with this article from afar dot com 45 00:02:33,240 --> 00:02:38,239 Speaker 1: and the World Happiness Report, and so we're just gonna 46 00:02:38,360 --> 00:02:41,840 Speaker 1: read off the top twenty happiest countries in the world 47 00:02:41,919 --> 00:02:52,079 Speaker 1: according to this report. Number one Finland, followed by Denmark, Iceland, Switzerland, Netherlands, Luxembourg, Sweden, Norway, Israel, 48 00:02:52,200 --> 00:02:59,600 Speaker 1: New Zealand, Austria, Australia, Ireland, Germany, Canada, United States, United Kingdom, Czechia, Belgium, France. 49 00:03:00,240 --> 00:03:03,440 Speaker 1: France faces twenty. That's surprising. Wait, at least not on 50 00:03:03,480 --> 00:03:08,840 Speaker 1: the list at all. There's there's some surprises here, some surprises. 51 00:03:08,880 --> 00:03:12,679 Speaker 1: So I will say I have only been to two. 52 00:03:12,880 --> 00:03:19,320 Speaker 1: The United States is on there. We've got some some questions, 53 00:03:20,160 --> 00:03:23,399 Speaker 1: have questions. I have a lot of questions. We thought 54 00:03:23,400 --> 00:03:25,720 Speaker 1: this was interesting because this is non gender based. It 55 00:03:25,800 --> 00:03:28,399 Speaker 1: just says happiest countries in the world. So essentially they 56 00:03:28,480 --> 00:03:32,000 Speaker 1: asked people on a scale of zero to ten, with 57 00:03:32,200 --> 00:03:34,560 Speaker 1: the best being the best possible lie for them and 58 00:03:34,639 --> 00:03:37,480 Speaker 1: zero being the worst possible um and trying to rank 59 00:03:37,840 --> 00:03:41,280 Speaker 1: where people would put themselves, so obviously that means this 60 00:03:41,320 --> 00:03:45,240 Speaker 1: is gonna be very very, very very very biased, which 61 00:03:45,240 --> 00:03:48,560 Speaker 1: is why I'm very surprised at the United States it's 62 00:03:48,600 --> 00:03:51,920 Speaker 1: on this list for two Don't get me wrong, I'm 63 00:03:51,960 --> 00:03:54,840 Speaker 1: grateful for where I am. I feel very thankful and 64 00:03:54,880 --> 00:03:57,560 Speaker 1: privileged to be at this place that I am. Being 65 00:03:57,600 --> 00:03:59,680 Speaker 1: able to be on a podcast and talk about why 66 00:03:59,720 --> 00:04:02,560 Speaker 1: are we on this list is a privilege in itself. 67 00:04:02,880 --> 00:04:04,720 Speaker 1: But we know things are happening to the point that 68 00:04:04,800 --> 00:04:06,800 Speaker 1: many people outside of the country are like, are you 69 00:04:06,880 --> 00:04:09,560 Speaker 1: all okay? Yeah, they asked me that when I was 70 00:04:09,600 --> 00:04:17,200 Speaker 1: in Canada. In fact, everything all right? Are you good? Good? 71 00:04:17,760 --> 00:04:20,840 Speaker 1: There was one country that did score the lowest at 72 00:04:20,960 --> 00:04:22,840 Speaker 1: I guess the way they ranged it was two point 73 00:04:22,920 --> 00:04:26,120 Speaker 1: four oh four and then Finland was the top at 74 00:04:26,160 --> 00:04:29,640 Speaker 1: seven point eight to one out of ten. So that's 75 00:04:29,640 --> 00:04:33,320 Speaker 1: a lot of of I really need to know, and 76 00:04:33,360 --> 00:04:35,479 Speaker 1: it does. It's a gallop world pole that they used, 77 00:04:35,480 --> 00:04:37,120 Speaker 1: so I really I guess we could go look at it, 78 00:04:37,160 --> 00:04:40,880 Speaker 1: break down the numbers and who they asked, But I 79 00:04:40,920 --> 00:04:44,320 Speaker 1: have questions. I don't doubt that Finland is on that list. 80 00:04:44,320 --> 00:04:46,320 Speaker 1: I don't doubt that Canada has been on that list. 81 00:04:46,360 --> 00:04:48,880 Speaker 1: They've been through some things, Ireland has been doing some 82 00:04:48,960 --> 00:04:51,080 Speaker 1: big changes. I really want to go. This is the 83 00:04:51,120 --> 00:04:53,320 Speaker 1: next adventure I want to have outside of China. Get 84 00:04:53,320 --> 00:04:56,320 Speaker 1: an r V. I really want RV. UM went to 85 00:04:56,360 --> 00:04:59,599 Speaker 1: look at one this weekend too. It was NA, yeah, 86 00:04:59,640 --> 00:05:02,440 Speaker 1: it was because I hope this thing happening there our neighborhood. 87 00:05:02,480 --> 00:05:04,920 Speaker 1: And I was like, oh, well you have airstream, you 88 00:05:04,920 --> 00:05:07,800 Speaker 1: have you have our realised let me go look. I digress. 89 00:05:08,360 --> 00:05:11,440 Speaker 1: But yeah, so, yeah, I'm surprised Italy is not on here. 90 00:05:12,880 --> 00:05:14,880 Speaker 1: Maybe Italians are a lot more honest than the rest 91 00:05:14,880 --> 00:05:18,640 Speaker 1: of us. Well, I know, like obviously we don't have 92 00:05:19,120 --> 00:05:21,960 Speaker 1: the numbers in front of us, but there have been correlations. 93 00:05:22,040 --> 00:05:25,240 Speaker 1: Are not correlations, but they're people have looked at like 94 00:05:25,320 --> 00:05:27,840 Speaker 1: these kinds of numbers and then put them side by 95 00:05:27,880 --> 00:05:31,640 Speaker 1: side with something like um, gender equality or even parody 96 00:05:31,680 --> 00:05:35,839 Speaker 1: and government to see how that might um, the linquages 97 00:05:35,920 --> 00:05:38,560 Speaker 1: that might be there, the linkuage that might be there, um. 98 00:05:38,560 --> 00:05:40,000 Speaker 1: And we talked about that a little bit in our 99 00:05:40,120 --> 00:05:48,560 Speaker 1: part two of this Happy Many Monday mini series. UM. So, 100 00:05:49,080 --> 00:05:51,440 Speaker 1: I know there's just so many factors that go into 101 00:05:52,480 --> 00:05:57,240 Speaker 1: to happiness for sure, and especially this being I what 102 00:05:57,360 --> 00:05:58,880 Speaker 1: a year to ask, I mean, I guess you could 103 00:05:58,880 --> 00:06:02,960 Speaker 1: say that about pretty much any year. The last three 104 00:06:03,040 --> 00:06:05,440 Speaker 1: years is pretty much all those. Uh yeah. So these 105 00:06:05,440 --> 00:06:08,839 Speaker 1: are based entirely on self perceptions, so that says a 106 00:06:08,880 --> 00:06:11,640 Speaker 1: lot um And if they said they bring in factors 107 00:06:11,720 --> 00:06:16,320 Speaker 1: like UM, strong social support systems among friends and family life, 108 00:06:16,320 --> 00:06:20,919 Speaker 1: expectancy frame to make choices, absence of corruption and government 109 00:06:22,040 --> 00:06:25,320 Speaker 1: um and generosity when it comes to donating to charity. 110 00:06:25,440 --> 00:06:29,320 Speaker 1: So interesting report for sure, but you know, we had 111 00:06:29,360 --> 00:06:31,760 Speaker 1: to take it another step and talk about what are 112 00:06:31,760 --> 00:06:37,800 Speaker 1: the best countries for women not just people women? UM 113 00:06:37,839 --> 00:06:40,359 Speaker 1: So we have a top ten list from U s 114 00:06:40,400 --> 00:06:52,080 Speaker 1: News dot com and essentially they're not the US. UM. 115 00:06:52,279 --> 00:06:55,240 Speaker 1: This is one list, so so it is a year behind. 116 00:06:55,360 --> 00:06:56,600 Speaker 1: I do need to try to see if we can 117 00:06:56,640 --> 00:06:59,200 Speaker 1: find it at number five. We're going backwards on this one. 118 00:06:59,320 --> 00:07:03,320 Speaker 1: It's like bill up as Netherlands, which apparently right thirty 119 00:07:03,360 --> 00:07:05,400 Speaker 1: one out of a hundred fifty six countries in the 120 00:07:05,440 --> 00:07:09,640 Speaker 1: Global Gender Gap Report in one UM so apparently I 121 00:07:09,640 --> 00:07:12,320 Speaker 1: think I've never been. Have you wanted to go to 122 00:07:12,360 --> 00:07:15,080 Speaker 1: the Netherlands? I've never been I've been to the Netherlands. 123 00:07:15,520 --> 00:07:17,640 Speaker 1: Your thoughts Did you feel like it was a great 124 00:07:17,640 --> 00:07:21,920 Speaker 1: country for women? I feel like I should put a 125 00:07:21,960 --> 00:07:26,360 Speaker 1: caveat here. I worked for the European Union for a 126 00:07:26,400 --> 00:07:29,000 Speaker 1: time for like eight months, and through that I've been 127 00:07:29,000 --> 00:07:32,920 Speaker 1: to pretty much every country in uh Europe. Every country 128 00:07:33,000 --> 00:07:35,920 Speaker 1: is part of the European Union as well, UM, which 129 00:07:35,920 --> 00:07:38,960 Speaker 1: I guess obviously yeah, yeah, but I a lot of 130 00:07:39,000 --> 00:07:40,720 Speaker 1: times I've spent like I don't know, two or three 131 00:07:40,800 --> 00:07:42,560 Speaker 1: days at a time in a place. So it was 132 00:07:42,600 --> 00:07:45,040 Speaker 1: sort of I was there and I liked it, but 133 00:07:45,080 --> 00:07:49,160 Speaker 1: I didn't get any sense of like, wow, this great 134 00:07:49,240 --> 00:07:56,000 Speaker 1: for women, but it was nice. Yeah, Apparently some of 135 00:07:56,040 --> 00:08:00,360 Speaker 1: the things that are great for women includes uh, maternity leave, 136 00:08:00,760 --> 00:08:04,560 Speaker 1: great place for new mothers. Um. They're completely covered by entrance, 137 00:08:04,640 --> 00:08:08,960 Speaker 1: so that's nice to see. We know that they're a 138 00:08:09,000 --> 00:08:13,360 Speaker 1: little more socialist, a lot more socialist uh than the 139 00:08:13,440 --> 00:08:15,520 Speaker 1: US and a lot of other countries and offer a 140 00:08:15,520 --> 00:08:17,520 Speaker 1: lot more, especially when it comes to universal health care. 141 00:08:17,560 --> 00:08:19,800 Speaker 1: So I feel like that's going to be why tops 142 00:08:19,840 --> 00:08:21,920 Speaker 1: a lot of it off. But maybe that's just me 143 00:08:22,120 --> 00:08:26,840 Speaker 1: reading into things at where we don't have that number 144 00:08:26,880 --> 00:08:30,080 Speaker 1: four Canada, which you were just that. So did you 145 00:08:30,160 --> 00:08:32,120 Speaker 1: feel like, once again I thought, you're going to be 146 00:08:32,200 --> 00:08:35,160 Speaker 1: the expert. Now this was a great country for women. 147 00:08:35,440 --> 00:08:39,480 Speaker 1: Really have no space to be the expert. Really, as 148 00:08:39,480 --> 00:08:41,840 Speaker 1: you've been there, and I have not swear said, okay, 149 00:08:45,800 --> 00:08:48,360 Speaker 1: I was there for a very specific conference. I happen 150 00:08:48,400 --> 00:08:50,439 Speaker 1: to Canada multiple times, but this last time I was 151 00:08:50,480 --> 00:08:53,760 Speaker 1: there her very specific conference and it was a puppetree 152 00:08:53,800 --> 00:08:57,960 Speaker 1: festival and it was lovely. Uh. And again I had 153 00:08:57,960 --> 00:09:01,480 Speaker 1: a wonderful time and I felt like in the specific 154 00:09:01,600 --> 00:09:06,200 Speaker 1: venues and events I went to, it was very Uh. 155 00:09:06,400 --> 00:09:08,199 Speaker 1: I don't know, fifty fifty or maybe a little more 156 00:09:08,200 --> 00:09:10,599 Speaker 1: women than been So that was I don't know what 157 00:09:10,720 --> 00:09:14,360 Speaker 1: that really means. But so I have also been in Canada. 158 00:09:14,400 --> 00:09:16,240 Speaker 1: I do have friends who lives in Canada, and I 159 00:09:16,280 --> 00:09:19,079 Speaker 1: have gone to see her and really loved like hanging 160 00:09:19,080 --> 00:09:21,360 Speaker 1: out with her. We it was in Ontario. I think 161 00:09:21,360 --> 00:09:23,840 Speaker 1: she's about to move to like Halifax, and I'm like, yeah, 162 00:09:23,960 --> 00:09:26,920 Speaker 1: I gotta go seek and being Gables home place obviously 163 00:09:27,920 --> 00:09:30,560 Speaker 1: Prince Edward Island, I have to go to there, but yeah, 164 00:09:30,840 --> 00:09:33,640 Speaker 1: I don't know. Obviously I wouldn't know this either because 165 00:09:33,679 --> 00:09:37,840 Speaker 1: we didn't live in in that area and get the 166 00:09:37,880 --> 00:09:41,800 Speaker 1: benefits of the gender gap being fairly close, as well 167 00:09:41,840 --> 00:09:44,680 Speaker 1: as healthcare and all of that. But it seems nice. 168 00:09:44,960 --> 00:09:47,640 Speaker 1: I would love that. Yeah. I feel like that is 169 00:09:47,720 --> 00:09:49,840 Speaker 1: the problem we're going to run into with this, Samantha, 170 00:09:50,040 --> 00:09:52,240 Speaker 1: is that we don't live in these places right right, 171 00:09:52,320 --> 00:09:57,920 Speaker 1: So from thes please tell us about it, and you 172 00:09:57,960 --> 00:09:59,680 Speaker 1: love it or don't like it or feel like it 173 00:09:59,720 --> 00:10:02,439 Speaker 1: is so good, lets us to move there please. It 174 00:10:02,480 --> 00:10:04,920 Speaker 1: doesn't talk much. Honestly, I won't take us. It won't 175 00:10:04,920 --> 00:10:06,360 Speaker 1: take much. I will go. I won't go through their 176 00:10:20,040 --> 00:10:24,400 Speaker 1: Number three was Norway, uh and I think ranked three 177 00:10:24,520 --> 00:10:27,400 Speaker 1: out of a hundred and fifty six countries. Like days. 178 00:10:27,520 --> 00:10:31,640 Speaker 1: Number three, Uh, it says generous maternally leave mothers can 179 00:10:31,679 --> 00:10:34,400 Speaker 1: take thirty five weeks at full pay or forty five 180 00:10:34,400 --> 00:10:38,760 Speaker 1: weeks pay according to the World Economics Forum. So they 181 00:10:38,760 --> 00:10:42,880 Speaker 1: have a really big appreciation for understanding that being a 182 00:10:43,000 --> 00:10:47,800 Speaker 1: mother and giving birth is taxing and deserves to be paid. Yep, 183 00:10:48,480 --> 00:10:52,239 Speaker 1: that would be nice to see. Number two is Denmark. 184 00:10:52,720 --> 00:10:55,720 Speaker 1: I want to go. I want to go to the Denmarks. Uh. 185 00:10:55,840 --> 00:10:59,560 Speaker 1: It moved down. It was apparently number one at one point, 186 00:11:00,040 --> 00:11:03,000 Speaker 1: but now it's at number two. The government promotes a 187 00:11:03,040 --> 00:11:07,840 Speaker 1: gender quality by offering an earnings related daycare system and 188 00:11:07,880 --> 00:11:10,040 Speaker 1: a parental leaf policy that is probably one of the 189 00:11:10,080 --> 00:11:13,559 Speaker 1: most flexible in the EU. So that's good to know. Again, 190 00:11:13,679 --> 00:11:16,960 Speaker 1: there's a lot to be said about women feeling like, oh, 191 00:11:17,200 --> 00:11:22,079 Speaker 1: I'm gonna be taking care of for these inconvenience. It's 192 00:11:22,080 --> 00:11:24,280 Speaker 1: not that being pregnant is an inconvenience, but it can be. 193 00:11:26,000 --> 00:11:28,439 Speaker 1: Let's be honest, it's not it's not a beautiful it's 194 00:11:28,480 --> 00:11:32,160 Speaker 1: not always you know, it's not glowy happy times for 195 00:11:32,440 --> 00:11:37,079 Speaker 1: most women. It's hard. It is very hard. It's hard. Uh. 196 00:11:37,120 --> 00:11:42,080 Speaker 1: And then number one Sweden moved up one position, so 197 00:11:42,120 --> 00:11:48,559 Speaker 1: they they out did Denmark. I want to see I 198 00:11:48,559 --> 00:11:50,240 Speaker 1: want to see Sweden and did Mark? Well, just fight. 199 00:11:50,280 --> 00:11:53,760 Speaker 1: I'm just kidding, don't just kidding, just kidding, it's just kidding. 200 00:11:54,000 --> 00:11:58,160 Speaker 1: But this is report will be interesting. It was the 201 00:11:58,200 --> 00:12:02,360 Speaker 1: most progressive attitudes towards gender equality, which was according to 202 00:12:02,400 --> 00:12:05,520 Speaker 1: a report released by you gov, a UK based market 203 00:12:05,559 --> 00:12:08,920 Speaker 1: research firm. So yeah, apparently a lot of the Nordic 204 00:12:08,920 --> 00:12:11,880 Speaker 1: countries really topped this list, and I think that says 205 00:12:11,920 --> 00:12:15,000 Speaker 1: a lot. How cold is Sweden though, that's pretty cold. 206 00:12:15,000 --> 00:12:17,280 Speaker 1: I had a friendly look for a couple of years. See, 207 00:12:17,320 --> 00:12:20,880 Speaker 1: I would like it, but it's too cold. Yeah, it's true. 208 00:12:21,040 --> 00:12:23,800 Speaker 1: I find that really interesting. I did find this was 209 00:12:23,880 --> 00:12:25,880 Speaker 1: like at least ten years ago, so please don't quote 210 00:12:25,920 --> 00:12:27,400 Speaker 1: me on this, but I did find a really interesting 211 00:12:27,480 --> 00:12:32,200 Speaker 1: article once. I was talking about possible link between fashion 212 00:12:32,920 --> 00:12:36,079 Speaker 1: and happiness for women and in colder countries, like you're 213 00:12:36,080 --> 00:12:40,160 Speaker 1: covered up in your body might not be as objectified. Um, 214 00:12:40,320 --> 00:12:43,600 Speaker 1: not to say that you can't be objectified in anything, 215 00:12:44,240 --> 00:12:47,080 Speaker 1: but that was just an interesting I never really thought 216 00:12:47,080 --> 00:12:52,559 Speaker 1: about that before, right, yeah, way back in my brain. 217 00:12:52,760 --> 00:12:56,360 Speaker 1: So yeah, now it's in my brain too. Uh. So 218 00:12:56,400 --> 00:12:59,319 Speaker 1: they have more of the rankings in here if you 219 00:12:59,400 --> 00:13:01,840 Speaker 1: want to go and look at it. And yes, uh 220 00:13:02,440 --> 00:13:04,880 Speaker 1: New Zealand does make it in the top ten and 221 00:13:05,160 --> 00:13:07,439 Speaker 1: c because I would have thought Switzerland would have been higher, 222 00:13:07,440 --> 00:13:09,720 Speaker 1: but they are like the number seven. So yeah, they 223 00:13:09,760 --> 00:13:12,680 Speaker 1: have definitely a lot of rankings. Uh. And if you 224 00:13:12,679 --> 00:13:15,120 Speaker 1: want to keep looking at this list if you're wondering, 225 00:13:15,160 --> 00:13:21,200 Speaker 1: Ireland's at thirteen, Italy is at sixteen on this list, 226 00:13:21,640 --> 00:13:26,960 Speaker 1: and the United States is at eighteen. I have more questions, 227 00:13:27,440 --> 00:13:30,680 Speaker 1: but moving on because we are in the US, and 228 00:13:30,720 --> 00:13:32,720 Speaker 1: we were kind of interested. We did want to look 229 00:13:32,760 --> 00:13:37,400 Speaker 1: at to see the happiest cities in the US. And 230 00:13:37,440 --> 00:13:39,400 Speaker 1: I think I told you, and he was like, fourteen 231 00:13:39,440 --> 00:13:43,640 Speaker 1: out of twenty five was California based, right if you. 232 00:13:43,840 --> 00:13:46,600 Speaker 1: So we're looking at this list from Mental Flaws, which 233 00:13:46,720 --> 00:13:52,760 Speaker 1: was released March two, so just recently. They took uh 234 00:13:53,160 --> 00:13:56,760 Speaker 1: data from finance sites from the US Census Bureau, the 235 00:13:56,800 --> 00:14:00,840 Speaker 1: Bureau of Labor Statistics uh C, d C IT uh so, 236 00:14:00,880 --> 00:14:03,720 Speaker 1: several different organizations. They took it out and did this 237 00:14:03,760 --> 00:14:06,800 Speaker 1: whole metric system based on that, and yeah, California was 238 00:14:06,840 --> 00:14:10,880 Speaker 1: at the top, including the number one city being Fremont, California. 239 00:14:10,920 --> 00:14:13,920 Speaker 1: But I don't see many like southern states on here. 240 00:14:14,040 --> 00:14:17,160 Speaker 1: I see Texas technically not southern, but kind of southern. 241 00:14:17,960 --> 00:14:22,160 Speaker 1: I guess it's southern, but it's definitely towards West Arizona 242 00:14:22,320 --> 00:14:24,360 Speaker 1: I guess would be a part of that list as well. 243 00:14:24,360 --> 00:14:26,920 Speaker 1: But those are the only two that I see. Definitely 244 00:14:26,960 --> 00:14:29,400 Speaker 1: nothing from the southeast, which is where we're from in Atlanta. 245 00:14:29,920 --> 00:14:33,440 Speaker 1: I'm not very surprised by that any on here. So 246 00:14:33,480 --> 00:14:35,920 Speaker 1: it's all this list, like I said, that's fourteen that's California. 247 00:14:35,960 --> 00:14:38,680 Speaker 1: There's one from Wisconsin, a couple from South Dakota and 248 00:14:38,720 --> 00:14:42,040 Speaker 1: North Dakota. I was like, okay, there's one from Texas. Plano, 249 00:14:42,160 --> 00:14:46,280 Speaker 1: Texas was at twenty two, which was a surprise. Scottsdale, Arizona, 250 00:14:47,160 --> 00:14:49,960 Speaker 1: no shade of Scottsdale, but Arizona was like, huh, there's 251 00:14:49,960 --> 00:14:52,200 Speaker 1: a lot of uppets and down so it's interesting to see. 252 00:14:52,560 --> 00:14:57,400 Speaker 1: And then Madison, Wisconsin, I can see that. And Seattle, Washington, 253 00:14:58,480 --> 00:15:01,640 Speaker 1: Oregon is not on here. That's surprising. Yeah, I mean 254 00:15:02,160 --> 00:15:04,160 Speaker 1: that's one thing we haven't talked about. But there's definitely 255 00:15:04,240 --> 00:15:07,880 Speaker 1: intersections of like race involved in all of this, and 256 00:15:07,960 --> 00:15:10,600 Speaker 1: just so many, so many, so many factors, especially like 257 00:15:10,640 --> 00:15:14,400 Speaker 1: any kind of self reported thing that happiness is pretty 258 00:15:14,400 --> 00:15:19,440 Speaker 1: hard to quantify a lot of times, right, Yeah. So 259 00:15:19,520 --> 00:15:22,640 Speaker 1: of course, again, like the statistics is based on economic status, 260 00:15:22,640 --> 00:15:26,560 Speaker 1: so that says a lot of self c DC, that 261 00:15:26,640 --> 00:15:31,720 Speaker 1: says a lot of itself. Yeah. This article, if you're 262 00:15:31,800 --> 00:15:34,280 Speaker 1: wondering what it is, is the twenty five happiest cities 263 00:15:34,320 --> 00:15:37,480 Speaker 1: in America. You should go check it out in Mental Flaws. 264 00:15:37,480 --> 00:15:39,960 Speaker 1: But within this article talks about if you can't move 265 00:15:40,000 --> 00:15:43,200 Speaker 1: to this new city. You should try this. Science backed 266 00:15:43,200 --> 00:15:49,040 Speaker 1: ways to feel happier um in article, it talks about 267 00:15:49,040 --> 00:15:51,480 Speaker 1: ways to be happy, including we've talked about it, kind 268 00:15:51,480 --> 00:15:56,280 Speaker 1: of self care stuff, sweat it out, sleep more, go outside, 269 00:15:57,040 --> 00:16:00,760 Speaker 1: get hobbies, turn out the dunes, write it down. He 270 00:16:00,840 --> 00:16:03,120 Speaker 1: talked about sex no essentially said, even if it's a 271 00:16:03,120 --> 00:16:06,480 Speaker 1: solo session, so Andy, you're doing great on that, you're 272 00:16:06,520 --> 00:16:10,040 Speaker 1: doing great, don't back congratulations. So they have all of 273 00:16:10,040 --> 00:16:12,160 Speaker 1: these kind of backed up. And we talked about these 274 00:16:12,240 --> 00:16:15,040 Speaker 1: lists before about how content, how to care for yourself, 275 00:16:15,160 --> 00:16:17,920 Speaker 1: and how to de stress. It's kind of those same 276 00:16:18,000 --> 00:16:19,840 Speaker 1: levels about if you can't go to these cities. And 277 00:16:19,880 --> 00:16:23,720 Speaker 1: of course I would love to travel more, but I 278 00:16:23,800 --> 00:16:25,360 Speaker 1: still have a little bit of fear. And I think 279 00:16:25,360 --> 00:16:26,800 Speaker 1: that's gonna be a whole thing that we need to 280 00:16:26,800 --> 00:16:29,280 Speaker 1: know and talk about the fear of travel. Now, me 281 00:16:29,360 --> 00:16:32,160 Speaker 1: as an Asian woman, traveling seems scary. I don't want 282 00:16:32,200 --> 00:16:33,280 Speaker 1: to go to New York. I don't want to go 283 00:16:33,280 --> 00:16:37,640 Speaker 1: to California, although I love both of these states. However, 284 00:16:38,200 --> 00:16:40,560 Speaker 1: the rise of Asian hate crimes, and again, I know 285 00:16:40,640 --> 00:16:42,560 Speaker 1: it's more that I see on the news and it's 286 00:16:42,680 --> 00:16:45,880 Speaker 1: not as common as I feel but the fear along 287 00:16:46,000 --> 00:16:48,240 Speaker 1: alone is enough for me. I feel the same way 288 00:16:48,240 --> 00:16:51,000 Speaker 1: about Florida. I go to Florida just to see family 289 00:16:51,520 --> 00:16:53,480 Speaker 1: and that would be it. But I definitely don't want 290 00:16:53,480 --> 00:16:56,440 Speaker 1: to travel right now for so many reasons, and no 291 00:16:56,520 --> 00:16:58,760 Speaker 1: incidents have ever happened to me, but just the fear 292 00:16:58,840 --> 00:17:01,040 Speaker 1: that it's going to happen has been a lot of trauma, 293 00:17:01,480 --> 00:17:04,320 Speaker 1: um and weariness in traveling alone. But one day I 294 00:17:04,320 --> 00:17:07,800 Speaker 1: would love to travel again. And I know we've talked 295 00:17:07,800 --> 00:17:11,040 Speaker 1: about it before. We were having a conversation with a 296 00:17:11,080 --> 00:17:14,480 Speaker 1: wonderful traveling agency that we were going to go to Portugal, 297 00:17:14,640 --> 00:17:16,560 Speaker 1: which was not on these lists. Now we may need 298 00:17:16,560 --> 00:17:20,080 Speaker 1: to rethink our lists going to Portugal and trying out. 299 00:17:20,119 --> 00:17:22,800 Speaker 1: But because of the pandemic. Literally, I think it was 300 00:17:22,840 --> 00:17:25,760 Speaker 1: twenty nineteen, the end of nineteen when we started talking 301 00:17:25,800 --> 00:17:29,520 Speaker 1: about it, like maybe by October it did not happen. 302 00:17:32,320 --> 00:17:35,800 Speaker 1: They they are wonderful and have contacted us about almost 303 00:17:35,840 --> 00:17:37,600 Speaker 1: at the beginning of every year to be like, how 304 00:17:37,600 --> 00:17:45,880 Speaker 1: about this year right right? Running away from your problems. 305 00:17:45,880 --> 00:17:50,280 Speaker 1: It will never ever ever solve anything, except for if 306 00:17:50,400 --> 00:17:54,040 Speaker 1: you have legitimate reasons to leave, whether it's you know, 307 00:17:54,480 --> 00:17:57,840 Speaker 1: jobs or whatever what not, And that's not what we're saying. 308 00:17:57,960 --> 00:18:01,000 Speaker 1: But it's interesting to see who is on these lists 309 00:18:01,000 --> 00:18:04,040 Speaker 1: and how these lists are made and how realistic these 310 00:18:04,080 --> 00:18:09,120 Speaker 1: lists can be for women, um, non binary, queer peoples, 311 00:18:09,119 --> 00:18:12,760 Speaker 1: in marginalized peoples in general, because I don't know how 312 00:18:12,840 --> 00:18:15,040 Speaker 1: much that accounts for it. And I think we've talked 313 00:18:15,080 --> 00:18:19,480 Speaker 1: about it before about traveling, finding people who are going 314 00:18:19,480 --> 00:18:23,240 Speaker 1: out and really having the real conversations about feeling safe 315 00:18:23,480 --> 00:18:26,200 Speaker 1: as a black woman, or I follow an Asian woman 316 00:18:26,200 --> 00:18:28,240 Speaker 1: who travels as well and saying these are the places 317 00:18:28,280 --> 00:18:30,840 Speaker 1: that I felt safe. These are the experiences that I've had. 318 00:18:31,000 --> 00:18:35,000 Speaker 1: But that's very important for us to really see beneath 319 00:18:35,119 --> 00:18:38,280 Speaker 1: just the statistics that's for the status quo, right right right, 320 00:18:38,480 --> 00:18:43,760 Speaker 1: And as we've said before, happiness is really important. Stress 321 00:18:44,080 --> 00:18:47,879 Speaker 1: does impact your physical and mental health UM and it 322 00:18:47,920 --> 00:18:50,280 Speaker 1: can impact your lifespan. So this is like a I mean, 323 00:18:50,320 --> 00:18:55,199 Speaker 1: it can seem frivolous. It's very important, UM So that 324 00:18:55,240 --> 00:18:58,280 Speaker 1: obviously we've thought so because we've had for very long 325 00:18:58,320 --> 00:19:01,359 Speaker 1: one day mates on it. Now we have it's like, 326 00:19:01,880 --> 00:19:03,480 Speaker 1: we would love to hear from you, tell us what 327 00:19:03,680 --> 00:19:05,919 Speaker 1: you think. Have you been in these places? Do you 328 00:19:05,960 --> 00:19:08,320 Speaker 1: live in these places and you agree disagree? What do 329 00:19:08,400 --> 00:19:11,280 Speaker 1: you see? Yeah, any of that? Or tell us if 330 00:19:11,280 --> 00:19:12,879 Speaker 1: you disagree with the list that we're like, Yeah, no, 331 00:19:12,960 --> 00:19:15,000 Speaker 1: you're wrong. This is another happy place that you didn't 332 00:19:15,000 --> 00:19:19,560 Speaker 1: talk about. Yes, please, you can email the Stuff mom 333 00:19:19,600 --> 00:19:21,280 Speaker 1: Stuff and I hurt me dot com. You can find 334 00:19:21,359 --> 00:19:23,240 Speaker 1: us on Twitter at mom Stuff podcast or Instagram and 335 00:19:23,280 --> 00:19:26,280 Speaker 1: stuff when Never told You. Thanks. It's always your super producer, Christina, 336 00:19:26,600 --> 00:19:29,919 Speaker 1: our magic maker. Yes, and thanks to you for listening 337 00:19:30,040 --> 00:19:31,800 Speaker 1: Stuff and never told the inspection. I hurt Radio for 338 00:19:31,840 --> 00:19:33,800 Speaker 1: more podcast in my Heart Radio, I Hear Radio app 339 00:19:33,800 --> 00:19:35,760 Speaker 1: Apple Podcast Regular listen to your favorite show