1 00:00:00,080 --> 00:00:12,160 Speaker 1: The Nicky Glazer Podcast. Here's Nikki. Hello, Welcome to the show. 2 00:00:12,560 --> 00:00:16,280 Speaker 1: It's the Nicki Glazer Podcast. I'm Nicki Glazer. I am 3 00:00:16,360 --> 00:00:21,200 Speaker 1: joined by Andrew, Colin and Noah in Arizona, Andrews in St. Louis. 4 00:00:21,360 --> 00:00:25,599 Speaker 1: I'm in Los Angeles. Today's episode is Especial one, brought 5 00:00:25,640 --> 00:00:30,200 Speaker 1: to you by us but through UM and Me. Andrew 6 00:00:30,200 --> 00:00:34,360 Speaker 1: and I both did UH and Me reports which we 7 00:00:34,440 --> 00:00:39,000 Speaker 1: got sent these like kits that just come in the mailbox, 8 00:00:39,560 --> 00:00:41,800 Speaker 1: not even like especially I didn't have to go to 9 00:00:41,800 --> 00:00:45,680 Speaker 1: the package room. UM and you open it up and 10 00:00:45,760 --> 00:00:48,560 Speaker 1: you just spit into a tube and then you seal 11 00:00:48,560 --> 00:00:51,920 Speaker 1: it up and then you send it back. It was, 12 00:00:52,960 --> 00:00:55,120 Speaker 1: I mean, honestly, one of the easiest things I've ever done. 13 00:00:55,120 --> 00:00:58,279 Speaker 1: I thought it was gonna be a lot more swabbing happening. 14 00:00:58,960 --> 00:01:01,720 Speaker 1: And I will say that there was a piece of 15 00:01:01,760 --> 00:01:06,040 Speaker 1: carrot that was in my spit from when I had 16 00:01:06,040 --> 00:01:08,479 Speaker 1: been crunching some carrots before. So in the spit tube 17 00:01:08,520 --> 00:01:10,720 Speaker 1: I had to dig out a bigger chunk of carrot. 18 00:01:10,959 --> 00:01:13,160 Speaker 1: A tiny chunk of carrot did get caught in it. 19 00:01:13,280 --> 00:01:16,360 Speaker 1: So I did get the report back. I'm seventy rabbit 20 00:01:17,160 --> 00:01:21,000 Speaker 1: and so I think that was you know, I think 21 00:01:21,040 --> 00:01:25,080 Speaker 1: the kit was infiltrated by the carrot. No, they didn't 22 00:01:25,080 --> 00:01:28,039 Speaker 1: seem to mind. Yeah, that you're going to be a ginger. 23 00:01:28,080 --> 00:01:34,560 Speaker 1: I saw, Yeah, it was. I did. I did. Was. 24 00:01:34,680 --> 00:01:36,440 Speaker 1: I was like, these people have seen it all, Like 25 00:01:36,480 --> 00:01:38,880 Speaker 1: there was a little bit of like tint to my 26 00:01:38,880 --> 00:01:42,120 Speaker 1: my spit. I was like, they're gonna be I know, 27 00:01:42,160 --> 00:01:44,000 Speaker 1: they don't care, they've stand it all over at twenty 28 00:01:44,000 --> 00:01:45,720 Speaker 1: three and me, But I spit in that tube. I mean, 29 00:01:45,720 --> 00:01:47,680 Speaker 1: it's fairly easy to do. You gotta like, you know, 30 00:01:48,240 --> 00:01:50,520 Speaker 1: I felt like it was almost a sexual thing of 31 00:01:50,680 --> 00:01:54,240 Speaker 1: just like trying to make your make your own lube. 32 00:01:54,240 --> 00:02:04,520 Speaker 1: Oh yeah, I guess. Yeah. I just been in the 33 00:02:04,560 --> 00:02:07,640 Speaker 1: box and just they can't. Yeah, eventually you ever done 34 00:02:07,640 --> 00:02:12,320 Speaker 1: one before one of these? No, my little brother did. So. 35 00:02:12,400 --> 00:02:14,400 Speaker 1: I figured if we had the same parents, it was 36 00:02:14,440 --> 00:02:18,679 Speaker 1: going to be close. Uh. Yes, it turns out the 37 00:02:18,720 --> 00:02:21,880 Speaker 1: same parents. Yeah. Yeah, we found out his dad and 38 00:02:21,960 --> 00:02:27,120 Speaker 1: mom were different. Yeah he was. He was milkman. I 39 00:02:27,200 --> 00:02:29,240 Speaker 1: love that was always the person that your mom banged 40 00:02:29,240 --> 00:02:34,079 Speaker 1: instead of your dad was the milkman. How like different, 41 00:02:34,320 --> 00:02:36,240 Speaker 1: Like there was no bumble, no tinder, So you have 42 00:02:36,280 --> 00:02:42,320 Speaker 1: to have sex with the milkman like that, the pharmacist, 43 00:02:42,360 --> 00:02:48,079 Speaker 1: the locals doctor. Yeah. Um, so yeah, I just set 44 00:02:48,200 --> 00:02:50,880 Speaker 1: that off and then got and now with this thing, 45 00:02:50,960 --> 00:02:52,720 Speaker 1: I thought it was, you know, the old twenty three 46 00:02:52,760 --> 00:02:55,680 Speaker 1: of My dad also got one report before, and so 47 00:02:55,720 --> 00:02:58,560 Speaker 1: we got to kind of see our ancestry report and 48 00:02:58,560 --> 00:03:01,160 Speaker 1: it was pretty much what we had guessed. It was 49 00:03:01,280 --> 00:03:04,959 Speaker 1: very Irish, very German, um, a little bit of h 50 00:03:05,040 --> 00:03:07,440 Speaker 1: I had a little bit of Scandinavian and French in me, 51 00:03:07,520 --> 00:03:10,120 Speaker 1: which I was excited about. But then now there's just 52 00:03:10,160 --> 00:03:13,480 Speaker 1: so many more things that you can find out, um 53 00:03:13,840 --> 00:03:21,480 Speaker 1: on this targarian Targerian, I just want dragons. Well it is. 54 00:03:22,120 --> 00:03:26,160 Speaker 1: I couldn't really say that you were trying to like, no, 55 00:03:26,320 --> 00:03:27,960 Speaker 1: I do exactly what you're going for. I was just 56 00:03:27,960 --> 00:03:31,240 Speaker 1: gonna let you dig your own grave. Yeah, I feels 57 00:03:31,240 --> 00:03:39,360 Speaker 1: like a dragon just death. But it's anyways gotten it 58 00:03:39,400 --> 00:03:42,280 Speaker 1: and shared as results. But I was always like, oh, 59 00:03:42,320 --> 00:03:43,640 Speaker 1: I guess I don't need to do it. But now 60 00:03:43,680 --> 00:03:45,960 Speaker 1: that there's so much more that they can find out 61 00:03:46,000 --> 00:03:49,360 Speaker 1: for you, um, there's like all of the it's like 62 00:03:49,480 --> 00:03:52,920 Speaker 1: you get a whole health report that has your traits, things, 63 00:03:53,000 --> 00:03:57,640 Speaker 1: physical features, uh like and just like also health things 64 00:03:57,680 --> 00:03:59,480 Speaker 1: that you should know about that you might be more 65 00:03:59,560 --> 00:04:02,160 Speaker 1: likely to you have in your life and maybe pass 66 00:04:02,240 --> 00:04:04,680 Speaker 1: on to your children if you have them. And I 67 00:04:04,720 --> 00:04:06,560 Speaker 1: just wanted to go over our results because some of 68 00:04:06,600 --> 00:04:10,600 Speaker 1: them are pretty hilarious and and I just want to 69 00:04:10,640 --> 00:04:13,880 Speaker 1: break it all down, um in terms of like my 70 00:04:14,280 --> 00:04:17,719 Speaker 1: UM health, I was I lucked out. I'm I'm pretty 71 00:04:17,720 --> 00:04:22,119 Speaker 1: healthy person. I don't have many like um, the things 72 00:04:22,120 --> 00:04:24,200 Speaker 1: that they were alerting me about. But you know, you 73 00:04:24,240 --> 00:04:27,000 Speaker 1: can find out stuff that really could affect your health 74 00:04:27,080 --> 00:04:29,880 Speaker 1: later in life, or like your family's health later in life, 75 00:04:30,600 --> 00:04:36,440 Speaker 1: things you're presupposed to genetically. Um, I have a likelihood 76 00:04:36,560 --> 00:04:39,200 Speaker 1: I found out of developing type two diabetes. That's the 77 00:04:39,279 --> 00:04:42,000 Speaker 1: kind that you're like, you can develop. I don't really 78 00:04:42,000 --> 00:04:43,520 Speaker 1: know the difference between the two, but I guess I 79 00:04:43,520 --> 00:04:45,960 Speaker 1: should now because I have a likelihood of developing type 80 00:04:45,960 --> 00:04:50,200 Speaker 1: two diabetes. And it said that that likelihood would start 81 00:04:50,240 --> 00:04:53,200 Speaker 1: between the ages of thirty eight and eighty and I 82 00:04:53,279 --> 00:04:56,040 Speaker 1: just like that. I was like, did they choose thirty 83 00:04:56,080 --> 00:04:58,440 Speaker 1: eight because I am thirty eight. They're like, you don't 84 00:04:58,440 --> 00:05:00,720 Speaker 1: even get a year before you have start worrying about 85 00:05:00,720 --> 00:05:03,760 Speaker 1: this ship, bitch. Uh, I like they were watching in 86 00:05:03,880 --> 00:05:06,800 Speaker 1: real time happen, Like it's it's starting. Like I could 87 00:05:06,839 --> 00:05:08,719 Speaker 1: see the Type two in you for sure. I could 88 00:05:08,720 --> 00:05:13,039 Speaker 1: see it. It's like, it's pretty like this is the start, 89 00:05:13,040 --> 00:05:15,960 Speaker 1: this is the start of a whole new life instead 90 00:05:15,960 --> 00:05:17,640 Speaker 1: of buying a sports car. You're like, I got type 91 00:05:17,640 --> 00:05:22,359 Speaker 1: two diabetes. That's my midlife crisis. Um, what starts at 92 00:05:22,400 --> 00:05:24,680 Speaker 1: thirty eight in your life? That's the only thing that 93 00:05:24,720 --> 00:05:27,640 Speaker 1: I've ever seen where that the that is the marker. 94 00:05:27,839 --> 00:05:32,359 Speaker 1: And I'm like, why, it would be much nicer to 95 00:05:32,400 --> 00:05:34,359 Speaker 1: be like if it were you know, I was it 96 00:05:34,480 --> 00:05:36,080 Speaker 1: was thirty six, and I'd be like, Okay, I'm two 97 00:05:36,160 --> 00:05:38,440 Speaker 1: years in. I've already like escaped it. It's like, note, 98 00:05:38,720 --> 00:05:41,640 Speaker 1: this is worrying about this now. So that's something I 99 00:05:41,640 --> 00:05:43,479 Speaker 1: can be on the alert up because I didn't. I 100 00:05:43,480 --> 00:05:46,039 Speaker 1: really didn't know that about myself at all, and I 101 00:05:46,080 --> 00:05:49,040 Speaker 1: would have assumed that I was not prone to because 102 00:05:49,080 --> 00:05:51,159 Speaker 1: I just I don't really, I don't really know my 103 00:05:51,160 --> 00:05:53,400 Speaker 1: family's health history as much as I should, And I 104 00:05:53,400 --> 00:05:56,480 Speaker 1: think this gives me a little bit more insight into that. 105 00:05:56,680 --> 00:05:59,680 Speaker 1: I also have one variant of a rare genetic disorder 106 00:06:00,240 --> 00:06:02,600 Speaker 1: that UM. I found out if I mate with someone 107 00:06:02,640 --> 00:06:06,040 Speaker 1: who also has another variant of this, we could pass 108 00:06:06,520 --> 00:06:11,520 Speaker 1: on the m c A D deficiency. It sounds really scary. 109 00:06:11,560 --> 00:06:13,120 Speaker 1: I was like, Oh my god, what is this and 110 00:06:13,160 --> 00:06:15,560 Speaker 1: what it is is UM if we both if I 111 00:06:15,680 --> 00:06:20,599 Speaker 1: mate with someone who also has this rare variant UM 112 00:06:20,680 --> 00:06:22,760 Speaker 1: that our kid could get this and what the what 113 00:06:22,920 --> 00:06:24,760 Speaker 1: the symptoms are. I was like, Oh no, what is 114 00:06:24,760 --> 00:06:26,600 Speaker 1: it gonna be? Like it has like a golf ball 115 00:06:26,680 --> 00:06:31,360 Speaker 1: head or you know, like their arms don't disconnect from 116 00:06:31,360 --> 00:06:34,520 Speaker 1: their torso, or they have a claw feet or something, 117 00:06:34,560 --> 00:06:36,800 Speaker 1: which are all like things that are you know. I 118 00:06:37,720 --> 00:06:39,520 Speaker 1: want to say this with no judgment if you are 119 00:06:39,520 --> 00:06:41,360 Speaker 1: someone that carries those things or if you know someone 120 00:06:41,360 --> 00:06:44,400 Speaker 1: that I'm just saying, those are possible genetic deformities that 121 00:06:44,440 --> 00:06:46,159 Speaker 1: you can have if you mate with someone that also 122 00:06:46,240 --> 00:06:48,320 Speaker 1: if you like happen to find the person that matches 123 00:06:48,360 --> 00:06:51,320 Speaker 1: with you, but mine is I was like, Oh, what's 124 00:06:51,320 --> 00:06:53,320 Speaker 1: this gonna be. I gotta get Chris tested if we 125 00:06:53,360 --> 00:06:55,040 Speaker 1: want to have kids, like, I don't want our kid 126 00:06:55,120 --> 00:06:57,839 Speaker 1: to like have something that affects them, and the symptoms 127 00:06:57,880 --> 00:07:01,120 Speaker 1: of this deficiency are our kid would just get dizzy 128 00:07:01,160 --> 00:07:14,080 Speaker 1: spells if he ever fast it. It doesn't so our kid. 129 00:07:14,160 --> 00:07:16,120 Speaker 1: I'm like, Chris, if we made we gotta make sure 130 00:07:16,160 --> 00:07:19,520 Speaker 1: our kid does not do intermittent fasting. We gotta keep 131 00:07:19,560 --> 00:07:22,040 Speaker 1: him away from the Joe Rogan podcast. He can't listen 132 00:07:22,080 --> 00:07:30,239 Speaker 1: to that, Like it's just such a funny like you hear, Yeah, yeah, 133 00:07:30,320 --> 00:07:33,160 Speaker 1: he can't do UFC biting because he might get a 134 00:07:33,200 --> 00:07:37,840 Speaker 1: little bit lightheaded. And it's um oh yeah exactly. He 135 00:07:37,960 --> 00:07:42,720 Speaker 1: cannot be Muslim. Yeah, yeah, yeah, it's gonna it's gonna 136 00:07:42,720 --> 00:07:45,440 Speaker 1: be a tough life for him. I saw this report 137 00:07:45,440 --> 00:07:48,840 Speaker 1: and it was like, you know, there's like a um a, no, 138 00:07:48,960 --> 00:07:51,200 Speaker 1: we're definitely having a boy. Are you kidding me? That's 139 00:07:51,200 --> 00:07:56,280 Speaker 1: part of my report? Um, I must have a boy. No. 140 00:07:56,520 --> 00:07:59,440 Speaker 1: On the on the report, it had like a exclamation 141 00:07:59,480 --> 00:08:02,320 Speaker 1: point of like make sure you see this, don't miss this, 142 00:08:02,360 --> 00:08:06,320 Speaker 1: And I'm like, what kid doesn't get dizzy from not eating? 143 00:08:06,440 --> 00:08:08,240 Speaker 1: Like I mean, I just feel like it was just 144 00:08:08,280 --> 00:08:11,040 Speaker 1: a really funny trait um. But they give you other 145 00:08:11,080 --> 00:08:13,119 Speaker 1: stuff too. I was just lucky to have like none 146 00:08:13,400 --> 00:08:14,960 Speaker 1: of those other ones. Did you have any of like 147 00:08:15,040 --> 00:08:20,040 Speaker 1: the health ones Andrew that were like red flags, I'm 148 00:08:20,040 --> 00:08:22,200 Speaker 1: gonna have a lisp and not be able to pronounce 149 00:08:22,240 --> 00:08:26,480 Speaker 1: Targerians not real, but you know what that it's not 150 00:08:26,560 --> 00:08:30,360 Speaker 1: a real one. But no, I had nothing really like 151 00:08:30,520 --> 00:08:32,559 Speaker 1: jump out at me because I am a bit of 152 00:08:32,600 --> 00:08:35,559 Speaker 1: a hypochondriac, so I was a little worried about learning 153 00:08:36,320 --> 00:08:41,040 Speaker 1: genetic disposition or whatever like our predisposition. I don't know 154 00:08:41,080 --> 00:08:43,080 Speaker 1: if I want to know these things, like part of 155 00:08:43,120 --> 00:08:44,880 Speaker 1: me would like to be kept in the dark, but 156 00:08:44,920 --> 00:08:47,120 Speaker 1: I get it, like if I think you have a 157 00:08:47,160 --> 00:08:51,080 Speaker 1: responsibility if it's out there to know it, and yeah, 158 00:08:51,320 --> 00:08:53,800 Speaker 1: it's especially A lot of these things are just variants 159 00:08:53,800 --> 00:08:56,480 Speaker 1: that you have on your genetic so they won't display 160 00:08:56,480 --> 00:08:59,440 Speaker 1: at a child unless you mate with someone who also 161 00:08:59,480 --> 00:09:02,400 Speaker 1: has the same one, like the chances. So if you 162 00:09:02,440 --> 00:09:04,520 Speaker 1: do have this thing, you can get your partner tested 163 00:09:04,559 --> 00:09:06,679 Speaker 1: and then if they're in the clear, then you don't 164 00:09:06,720 --> 00:09:08,400 Speaker 1: have a chance of passing this trade down on to 165 00:09:08,480 --> 00:09:10,600 Speaker 1: a child, and your kid can stand up quickly after 166 00:09:10,679 --> 00:09:13,240 Speaker 1: fasting and not get dizzy. And if they do have 167 00:09:13,280 --> 00:09:15,280 Speaker 1: the trade, it's an easy out if you don't really 168 00:09:15,280 --> 00:09:18,320 Speaker 1: want to be with them anyways, So listen, I don't 169 00:09:18,320 --> 00:09:22,080 Speaker 1: want my daughter to be when she gets intorectic and 170 00:09:22,160 --> 00:09:23,959 Speaker 1: never really someday because I passed that down to her 171 00:09:24,040 --> 00:09:28,559 Speaker 1: from just you know, more nurture than nature. Um, so 172 00:09:29,559 --> 00:09:32,120 Speaker 1: I you didn't have any one said, I thought you 173 00:09:32,160 --> 00:09:34,640 Speaker 1: were going to be no offense riddled with these things 174 00:09:34,760 --> 00:09:38,240 Speaker 1: like it just seems like you don't even have like 175 00:09:38,280 --> 00:09:41,400 Speaker 1: a likelihood of diabetes. Like how did I get that? 176 00:09:42,080 --> 00:09:44,880 Speaker 1: I don't know. I guess you the carrot was in there. 177 00:09:45,800 --> 00:09:53,960 Speaker 1: Uh tell your girlfriend, like, it's not you, it's twenty 178 00:09:54,040 --> 00:10:01,680 Speaker 1: three in me. That's hilarious. It's an easy way. You're 179 00:10:04,000 --> 00:10:12,559 Speaker 1: the women, No, babe, it's the genetic test um. So 180 00:10:12,679 --> 00:10:16,080 Speaker 1: what else I found out? Like I went through the traits, 181 00:10:16,160 --> 00:10:18,040 Speaker 1: Like so you go into the health and traits and 182 00:10:18,080 --> 00:10:21,040 Speaker 1: you see you get this whole report and you get 183 00:10:21,080 --> 00:10:24,200 Speaker 1: to see, um, there's this one part. Let me just 184 00:10:24,240 --> 00:10:29,200 Speaker 1: go to it real quick. Traits. You're more likely to 185 00:10:29,280 --> 00:10:34,840 Speaker 1: drink less caffeine, which is yes. A month ago, I 186 00:10:34,840 --> 00:10:39,000 Speaker 1: would say this is crazy, but Andrew. Andrew was shocked 187 00:10:39,000 --> 00:10:41,679 Speaker 1: by the amount of caffeine I consume. I really don't 188 00:10:41,720 --> 00:10:44,160 Speaker 1: respond to caffeine that much. It found that I'm less, 189 00:10:44,240 --> 00:10:47,440 Speaker 1: I'm more likely to dress, drink less caffeine because my 190 00:10:47,440 --> 00:10:50,600 Speaker 1: body doesn't respond to caffeine like other people do. Um, 191 00:10:50,640 --> 00:10:52,680 Speaker 1: which is what they found in my report, and it 192 00:10:52,760 --> 00:10:54,840 Speaker 1: actually checks out. And I wouldn't have known this had 193 00:10:54,840 --> 00:10:58,560 Speaker 1: I not quit caffeine recently, although my my decaf coffee 194 00:10:58,559 --> 00:11:02,720 Speaker 1: intake has has remained in the same amount as it 195 00:11:02,840 --> 00:11:05,880 Speaker 1: was before I quit caffeine. So what I'm craving is 196 00:11:05,920 --> 00:11:08,319 Speaker 1: not the caffeine, and what I'm craving is the ritual 197 00:11:08,400 --> 00:11:11,800 Speaker 1: of getting coffee and having this warm like latte drink. 198 00:11:12,320 --> 00:11:14,120 Speaker 1: It wasn't about the caffeine at all. I got a 199 00:11:14,120 --> 00:11:16,320 Speaker 1: little bit of like caffeine headaches, but it was not 200 00:11:16,440 --> 00:11:18,559 Speaker 1: anywhere compared to what I thought it was going to 201 00:11:18,640 --> 00:11:20,840 Speaker 1: be and what I read about when people quit caffeine. 202 00:11:21,280 --> 00:11:25,120 Speaker 1: And yeah, so that actually like totally checked out. I 203 00:11:25,160 --> 00:11:27,280 Speaker 1: was shocked to see that in my report. And then 204 00:11:27,600 --> 00:11:29,920 Speaker 1: at the same time, I was weaning off caffeine and 205 00:11:29,960 --> 00:11:33,160 Speaker 1: I found that, Um, I still drink as much coffee, 206 00:11:33,160 --> 00:11:35,800 Speaker 1: it's just all decaffe So I'm not craving the caffeine. 207 00:11:36,120 --> 00:11:39,760 Speaker 1: And it was right about that. UM, I like this one. 208 00:11:39,840 --> 00:11:43,160 Speaker 1: You're predisposed to weigh six percent less than the average. 209 00:11:43,280 --> 00:11:46,760 Speaker 1: I just I love a percentage in anything you know, Like, 210 00:11:46,840 --> 00:11:50,080 Speaker 1: it's just yeah, it says I'm predisposed to weigh six 211 00:11:50,080 --> 00:11:55,360 Speaker 1: percent less than average. It's like you're gonna be you 212 00:11:55,360 --> 00:11:58,600 Speaker 1: could be kind of skinny. You don't even expect it. 213 00:11:58,760 --> 00:12:01,960 Speaker 1: I don't say that is dead on. I'm about I 214 00:12:01,960 --> 00:12:04,440 Speaker 1: think that it actually did help me because I have 215 00:12:04,520 --> 00:12:08,440 Speaker 1: been so obsessed with part my life has been like 216 00:12:08,520 --> 00:12:11,960 Speaker 1: dieting and staying underweight so much of my life. And 217 00:12:12,040 --> 00:12:14,600 Speaker 1: like from the time that I was even I never 218 00:12:14,679 --> 00:12:16,400 Speaker 1: made it to like what my body is supposed to 219 00:12:16,400 --> 00:12:18,560 Speaker 1: be it as an adult before I was starving myself, 220 00:12:18,760 --> 00:12:21,440 Speaker 1: so I never really knew. I was just always so 221 00:12:21,480 --> 00:12:23,240 Speaker 1: scared that it was going to go over that I 222 00:12:23,280 --> 00:12:27,280 Speaker 1: was always starving myself. But really, I'm uh, if I 223 00:12:27,360 --> 00:12:29,640 Speaker 1: just let my body do its thing, I'm going and 224 00:12:29,720 --> 00:12:34,040 Speaker 1: eat like a normal person, I will I will be 225 00:12:34,120 --> 00:12:36,839 Speaker 1: on average. I bet I guess. I guess six percent less, 226 00:12:37,080 --> 00:12:39,520 Speaker 1: way six percent less than most people, which is like 227 00:12:39,559 --> 00:12:41,840 Speaker 1: it makes sense. My dad is like this lanky build 228 00:12:41,880 --> 00:12:45,880 Speaker 1: and that was interesting to read. Um, my genetic mescal 229 00:12:45,960 --> 00:12:50,960 Speaker 1: competisition is rare, and elite athletes well, no fucking ships. 230 00:12:51,280 --> 00:12:53,439 Speaker 1: They probably tested like the way I closed the cap 231 00:12:53,600 --> 00:12:55,720 Speaker 1: on the thing, and we're like, this is not even 232 00:12:56,200 --> 00:13:02,320 Speaker 1: all the way on. I don't understand. So it's rare 233 00:13:02,360 --> 00:13:06,000 Speaker 1: and okay, so you have Okay, that's in. My genetic 234 00:13:06,240 --> 00:13:10,800 Speaker 1: muscle composition is rare. Yours is not. Yeah, mine is in. 235 00:13:11,000 --> 00:13:14,160 Speaker 1: Actually it's in. I have a body of a guy 236 00:13:14,240 --> 00:13:17,360 Speaker 1: that would be really good at sports. Apparently, Yes, I mean, 237 00:13:17,400 --> 00:13:19,800 Speaker 1: but doesn't that make sense for you? Like, doesn't didn't 238 00:13:19,800 --> 00:13:22,840 Speaker 1: that feel so good to read? Yeah? It made me 239 00:13:22,880 --> 00:13:25,719 Speaker 1: actually work out with the word elite athlete. If this 240 00:13:25,800 --> 00:13:28,040 Speaker 1: is a selling point to get guys to buy this report, 241 00:13:28,080 --> 00:13:30,920 Speaker 1: you can see if your muscle composition is that of 242 00:13:31,520 --> 00:13:34,320 Speaker 1: likely to be an elite athlete. I didn't know that 243 00:13:34,400 --> 00:13:38,120 Speaker 1: these things could tell you that. I mean, I think, uh, 244 00:13:38,280 --> 00:13:40,680 Speaker 1: I think it's right. I think I I definitely have 245 00:13:40,760 --> 00:13:43,000 Speaker 1: it in my I just you can't think it's right 246 00:13:43,360 --> 00:13:47,600 Speaker 1: science it is right. No, but you won't. I mean, 247 00:13:47,760 --> 00:13:50,120 Speaker 1: every you've always said that you have like you're a 248 00:13:50,200 --> 00:13:53,959 Speaker 1: natural athlete. That makes sense for you for sure? For sure? No, 249 00:13:54,080 --> 00:13:56,040 Speaker 1: it does, it does it definitely. It just made me 250 00:13:56,080 --> 00:13:58,000 Speaker 1: feel happy, Like but then it's like if I'm not 251 00:13:58,080 --> 00:14:00,760 Speaker 1: in shape, or if I'm not feeling an athlete. I'm like, well, 252 00:14:01,200 --> 00:14:10,120 Speaker 1: it's there your potential, yeah, exactly, Like yeah, goshakes sixtix 253 00:14:10,240 --> 00:14:13,480 Speaker 1: percent chance to not have dimples. Yeah, so there are 254 00:14:13,480 --> 00:14:16,520 Speaker 1: all these reports about like what your likelihood is of 255 00:14:16,600 --> 00:14:20,440 Speaker 1: like having these different things. Um, I want to go 256 00:14:20,520 --> 00:14:24,000 Speaker 1: through all dimples I have. Yeah, I have sixty percent 257 00:14:24,080 --> 00:14:26,360 Speaker 1: chance I don't have dimples. Well, you're right twenty three me, 258 00:14:26,520 --> 00:14:28,520 Speaker 1: I do not have dimples. Thanks for rubbing it in 259 00:14:28,560 --> 00:14:38,160 Speaker 1: that I'm not adorable. Um, cleft chin. These are all 260 00:14:38,320 --> 00:14:43,240 Speaker 1: genetic things, apparently, Um chance you do not have a 261 00:14:43,240 --> 00:14:45,480 Speaker 1: cleft chin. Well, they're right, I do not have one 262 00:14:46,040 --> 00:14:48,720 Speaker 1: might chance that I never had Dan Druff. Who knew 263 00:14:49,120 --> 00:14:51,480 Speaker 1: Dan Dreff was genetic? I do not have Dan Dreff. 264 00:14:51,560 --> 00:14:54,320 Speaker 1: Did you get these reports for yourself? Andrew? I did 265 00:14:54,360 --> 00:14:56,160 Speaker 1: I think there was. I had a stronger chance of 266 00:14:56,200 --> 00:14:58,680 Speaker 1: having Dan Dreff, which I do have Dandre He has 267 00:14:58,720 --> 00:15:02,160 Speaker 1: a fifty fifty chance of Sandroff. Yeah, so I got 268 00:15:03,160 --> 00:15:06,280 Speaker 1: I got the bad fifty. Yeah. How do you take 269 00:15:06,320 --> 00:15:10,040 Speaker 1: care of your dandruff? Um? I let it run wild 270 00:15:10,120 --> 00:15:14,160 Speaker 1: and see what happens. No, like a thing where you're 271 00:15:14,200 --> 00:15:16,360 Speaker 1: like insecure about it like, does it come down on 272 00:15:16,400 --> 00:15:20,000 Speaker 1: your shoulders? Sometimes it used to. I mean, yeah, head 273 00:15:20,000 --> 00:15:23,000 Speaker 1: and shoulders, it really does. Do you use head and shoulders? 274 00:15:23,480 --> 00:15:27,320 Speaker 1: I do? And oh I didn't know head and shoulders 275 00:15:27,360 --> 00:15:30,640 Speaker 1: I used because I use another product for hair loss, 276 00:15:30,960 --> 00:15:36,120 Speaker 1: which says that actually this says early hair loss not likely. 277 00:15:36,160 --> 00:15:39,800 Speaker 1: I guess I'm old enough where it's laid hair. Yeah, 278 00:15:40,240 --> 00:15:43,200 Speaker 1: let's be honest with what they're meaning by that. You're 279 00:15:43,200 --> 00:15:45,760 Speaker 1: not a young and you might dress like you're twenty two, 280 00:15:45,800 --> 00:15:55,680 Speaker 1: but um, yeah, let's not forget that's that was right? Yeah, 281 00:15:55,880 --> 00:15:58,720 Speaker 1: I mean obviously that was earlobe type. What about your 282 00:15:58,720 --> 00:16:00,960 Speaker 1: ear lobe type? Because I always knew that this was 283 00:16:01,000 --> 00:16:04,080 Speaker 1: a genetic predisposition. Was like, if your ear lobes are 284 00:16:04,080 --> 00:16:07,080 Speaker 1: connected to your head or not at the bottom minor 285 00:16:07,200 --> 00:16:10,760 Speaker 1: detached or no, no, no they're connected. Let me see this. 286 00:16:11,200 --> 00:16:14,320 Speaker 1: Hold on, let me go to this. Yeah, no, you're 287 00:16:14,320 --> 00:16:17,360 Speaker 1: not as are not connected? Oh that's not connected. No, 288 00:16:17,520 --> 00:16:19,400 Speaker 1: that's a danglin like will you just let go of 289 00:16:19,480 --> 00:16:22,680 Speaker 1: it for a second. Hold on, will you just flick it? 290 00:16:23,160 --> 00:16:25,880 Speaker 1: Let me see what the kind of emotion we got there? Yeah, 291 00:16:25,920 --> 00:16:31,360 Speaker 1: ears are detached? Mine? Oh, minor attached as fuck what 292 00:16:31,600 --> 00:16:34,960 Speaker 1: I've never even noticed? You never noticed? Look at interesting? 293 00:16:35,000 --> 00:16:39,880 Speaker 1: It goes right down. There's no like they're attached. I'm 294 00:16:39,960 --> 00:16:41,680 Speaker 1: very proud of my attached your lips. I love them 295 00:16:41,760 --> 00:16:43,640 Speaker 1: so much. It's my favorite, one of my favorite things 296 00:16:43,640 --> 00:16:47,720 Speaker 1: about myself. But my three reports said that I'm likely 297 00:16:47,760 --> 00:16:50,560 Speaker 1: to have detached ear lobes, so I am beating the odds. 298 00:16:50,600 --> 00:16:53,440 Speaker 1: I had a chance of having these ears, and I 299 00:16:53,520 --> 00:16:59,080 Speaker 1: got them. Baby, I got your ear wax type? Um, 300 00:16:59,360 --> 00:17:04,320 Speaker 1: mine is so chance that I have wet, sticky ear wax? Well, 301 00:17:04,680 --> 00:17:09,040 Speaker 1: you nailed it, h I do I think Asian people 302 00:17:09,119 --> 00:17:11,680 Speaker 1: have dry, flaky ear wax. I think it's more crumbly 303 00:17:11,760 --> 00:17:13,920 Speaker 1: and dry. That's the thing I heard, and it makes 304 00:17:13,920 --> 00:17:17,879 Speaker 1: sense because I don't have any um. None of my 305 00:17:17,960 --> 00:17:21,399 Speaker 1: ancestors are from that area. But my ear wax. I 306 00:17:21,440 --> 00:17:23,640 Speaker 1: wish they would have given me like a report about 307 00:17:23,680 --> 00:17:27,399 Speaker 1: how much i'd have, because I produce so much. I 308 00:17:27,440 --> 00:17:30,600 Speaker 1: feel like it's like this should be of my body 309 00:17:30,720 --> 00:17:33,119 Speaker 1: is ear wax, because that's how much I have. But 310 00:17:33,200 --> 00:17:36,400 Speaker 1: it is wet and sticky and orange. It looks like carrots. 311 00:17:37,200 --> 00:17:39,320 Speaker 1: You can find. Maybe you need to break up with 312 00:17:39,400 --> 00:17:41,640 Speaker 1: your boyfriend and he also has wet ear wax, because 313 00:17:41,640 --> 00:17:44,160 Speaker 1: that will be just too much that our child will 314 00:17:44,200 --> 00:17:48,480 Speaker 1: just be using wax and all over the place that 315 00:17:48,520 --> 00:17:55,359 Speaker 1: one Mary Jose Museum. Oh yeah, Madam twossodes, our child 316 00:17:55,359 --> 00:18:04,879 Speaker 1: will just be sculpture. Um what about eye color? Did 317 00:18:04,880 --> 00:18:07,280 Speaker 1: they nail it for you? Actually? Yeah, it said I'm 318 00:18:07,320 --> 00:18:09,680 Speaker 1: likely to have blue or green, and your boy's got hazel. 319 00:18:09,840 --> 00:18:14,879 Speaker 1: So that's uh yeah, percentage. It doesn't have percentage on 320 00:18:14,960 --> 00:18:18,600 Speaker 1: my stuff. See, it's just like because my my sister 321 00:18:18,680 --> 00:18:21,280 Speaker 1: and I definitely have different genetics because my sister's eyes 322 00:18:21,320 --> 00:18:25,160 Speaker 1: are brown and mindset, I have a less than one 323 00:18:25,200 --> 00:18:29,960 Speaker 1: percent chance of brown eyes. And it said it nailed 324 00:18:29,960 --> 00:18:34,919 Speaker 1: it for me chance of blue eyes. Um so, And 325 00:18:34,960 --> 00:18:38,080 Speaker 1: then what about finger length ratio? This was something I 326 00:18:38,160 --> 00:18:41,600 Speaker 1: read about that if your ring finger is longer than 327 00:18:41,680 --> 00:18:44,560 Speaker 1: your index finger, you're more likely to be a lesbian. 328 00:18:44,840 --> 00:18:46,639 Speaker 1: Or maybe it was your ring finger. Maybe it's the 329 00:18:46,640 --> 00:18:50,680 Speaker 1: other one, my ring. Wait, hold on, let me look 330 00:18:50,680 --> 00:18:52,560 Speaker 1: it up, because there was like a thing going around 331 00:18:52,560 --> 00:18:57,600 Speaker 1: on TikTok ring finger ring finger point lesbian. Let me 332 00:18:57,640 --> 00:18:59,440 Speaker 1: just type this in because for a while I sent 333 00:18:59,520 --> 00:19:02,439 Speaker 1: it to all my friends and it kind of depends 334 00:19:02,440 --> 00:19:05,479 Speaker 1: on how you hold your hand. Um, oh yeah, it's 335 00:19:05,520 --> 00:19:07,840 Speaker 1: a This is in the BBC. Length of ring and 336 00:19:07,880 --> 00:19:12,120 Speaker 1: index fingers are linked to sexuality. Women whose left index 337 00:19:12,240 --> 00:19:14,879 Speaker 1: and ring fingers are different lengths are more likely to 338 00:19:14,880 --> 00:19:18,080 Speaker 1: be lesbians. A study suggests, my left hand they are 339 00:19:18,160 --> 00:19:22,240 Speaker 1: exactly the same length, So I think I'm um. Scientists 340 00:19:22,240 --> 00:19:24,919 Speaker 1: spasied with the fingers of eighteen pairs of female identical 341 00:19:25,000 --> 00:19:27,639 Speaker 1: twins where one was straight in the other gay. On average, 342 00:19:27,640 --> 00:19:29,760 Speaker 1: of lesbians but not the straight twins had different sized 343 00:19:29,800 --> 00:19:32,320 Speaker 1: index and ring fingers, typically a male trait, but only 344 00:19:32,359 --> 00:19:36,320 Speaker 1: on the left hand. So yeah, exactly typically a male trait. 345 00:19:36,840 --> 00:19:39,280 Speaker 1: Um it said, if it's even a six percent chance 346 00:19:39,320 --> 00:19:41,960 Speaker 1: my ring finger is longer than my index finger, it 347 00:19:42,080 --> 00:19:47,200 Speaker 1: is slightly longer, slightly longer, but almost exactly the same size. Uh, freckles, 348 00:19:47,240 --> 00:19:49,840 Speaker 1: did you have a report? A boy? Your freckles little 349 00:19:50,000 --> 00:19:54,000 Speaker 1: freckling is But I have a few frecks, but nothing crazy. 350 00:19:54,119 --> 00:19:55,400 Speaker 1: I mean I used to have more as a kid. 351 00:19:55,440 --> 00:19:58,800 Speaker 1: But yeah, I have a seventy percent chance that I 352 00:19:58,840 --> 00:20:02,439 Speaker 1: have few, if any reckles. Um, hair photo bleaching. I 353 00:20:02,480 --> 00:20:05,800 Speaker 1: did not understand this chance that you will experience hair 354 00:20:05,920 --> 00:20:09,480 Speaker 1: photo bleaching. What does that mean I have a less 355 00:20:09,520 --> 00:20:13,479 Speaker 1: likely chance to experience this. I don't know photo bleaching. 356 00:20:13,520 --> 00:20:15,920 Speaker 1: It I think is that when basking in the warmth 357 00:20:15,920 --> 00:20:17,680 Speaker 1: of a sunny day is one way to lighten your 358 00:20:17,680 --> 00:20:20,200 Speaker 1: mood and your hair. Photo bleaching is what happens when 359 00:20:20,440 --> 00:20:23,200 Speaker 1: hair color lightens after a long exposure to the sun. 360 00:20:23,400 --> 00:20:27,239 Speaker 1: That makes sense, Yeah, my hair just turns gray or 361 00:20:27,240 --> 00:20:31,560 Speaker 1: I think, yes, I do experience hair photo bleaching because 362 00:20:31,640 --> 00:20:35,000 Speaker 1: I used to get like white hair after the summer. 363 00:20:35,160 --> 00:20:40,199 Speaker 1: So that's correct hair texture. Um, it nailed it for me. 364 00:20:41,240 --> 00:20:44,320 Speaker 1: Chance of slightly wavy hair? That is definitely my hair 365 00:20:44,520 --> 00:20:48,400 Speaker 1: slightly wavy? What about yours? Same? I know? I think 366 00:20:49,000 --> 00:20:52,920 Speaker 1: you pull up your report. What are we doing here? 367 00:20:53,600 --> 00:20:55,879 Speaker 1: Let's go to break and come back with more about 368 00:20:55,960 --> 00:20:58,440 Speaker 1: Andrew's hair texture right after this when he gets this 369 00:20:58,520 --> 00:21:04,000 Speaker 1: report pulled up. Okay, we're back, Andrew, UM is gonna 370 00:21:04,200 --> 00:21:07,800 Speaker 1: you have wavy hair? It predicted that, let's say, what 371 00:21:08,080 --> 00:21:10,879 Speaker 1: like really quickly newborn hair. It's it predicted that I 372 00:21:10,880 --> 00:21:14,240 Speaker 1: had little or no hair at birth, which is I 373 00:21:14,240 --> 00:21:16,199 Speaker 1: I don't even remember. But that's so cool that I 374 00:21:16,200 --> 00:21:18,439 Speaker 1: could know that. It also predicts the chances that you 375 00:21:18,520 --> 00:21:20,879 Speaker 1: have red hair. I have a one percent chance of 376 00:21:20,880 --> 00:21:23,639 Speaker 1: having red hair. I only have it on my assholes. 377 00:21:23,680 --> 00:21:29,280 Speaker 1: So it was right. Um. The skin pigmentation, Um, it 378 00:21:29,400 --> 00:21:32,280 Speaker 1: definitely got it right. I have chance of very fair 379 00:21:32,280 --> 00:21:35,320 Speaker 1: skin and then chance of moderately fair. So I am 380 00:21:35,320 --> 00:21:40,040 Speaker 1: a whitey white white bitch. Um uh, sixty chance I 381 00:21:40,040 --> 00:21:42,600 Speaker 1: have stretch marks. I don't have stretch marks, So it 382 00:21:42,680 --> 00:21:46,880 Speaker 1: got that wrong. I am a goddess. Toe length ratio um, 383 00:21:47,000 --> 00:21:49,440 Speaker 1: chance that you have a longer big toe, um, and 384 00:21:49,480 --> 00:21:53,560 Speaker 1: the chance that my long I have a longer big 385 00:21:53,600 --> 00:21:56,120 Speaker 1: toete percent chance that I have a longer second toe. 386 00:21:56,359 --> 00:21:59,040 Speaker 1: My second toe is longer. I beat the odds. It 387 00:21:59,040 --> 00:22:02,000 Speaker 1: predicts you're brow if you have a uni brow, fifty 388 00:22:02,040 --> 00:22:04,240 Speaker 1: percent chance I do not have a Uni brow. I 389 00:22:04,359 --> 00:22:07,160 Speaker 1: do not. There's a forty two ship I like the phra. 390 00:22:08,160 --> 00:22:09,960 Speaker 1: Chance you have a little bit of a uni brow, 391 00:22:11,920 --> 00:22:14,840 Speaker 1: which is being delicate. You have a little bit of one, 392 00:22:15,520 --> 00:22:17,840 Speaker 1: A little bit of one that comes a lot a 393 00:22:17,880 --> 00:22:21,439 Speaker 1: widow's peak. Do you have a widow's peak? Chance I 394 00:22:21,520 --> 00:22:27,680 Speaker 1: don't have one. I feel like like, well, you got 395 00:22:27,720 --> 00:22:30,040 Speaker 1: deep tracks too that are accentuating that. I can't tell 396 00:22:30,040 --> 00:22:32,359 Speaker 1: if that was actually your hairline before or if you 397 00:22:32,440 --> 00:22:34,760 Speaker 1: ever seated on the sides creating one. I have a 398 00:22:34,800 --> 00:22:42,760 Speaker 1: hair which my wife wish she was a widow having 399 00:22:42,840 --> 00:22:47,879 Speaker 1: fun things where it talks about taste and smell. It 400 00:22:48,000 --> 00:22:50,800 Speaker 1: smells like if you It says I'm likely to smell 401 00:22:50,840 --> 00:22:55,200 Speaker 1: asparagus in p which isn't true. I can't smell it. Um, 402 00:22:55,280 --> 00:22:57,959 Speaker 1: so I'm beating the odds there. I likely that I 403 00:22:58,000 --> 00:23:00,879 Speaker 1: can taste bitter cilantro taste a version. I would love 404 00:23:00,880 --> 00:23:03,280 Speaker 1: to see Noah's report for this, because she hates cilantro. 405 00:23:03,400 --> 00:23:06,160 Speaker 1: She tastes soap, and I have a slightly higher odds 406 00:23:06,200 --> 00:23:09,399 Speaker 1: of disliking cilantro. But I love cilantro. It is one 407 00:23:09,400 --> 00:23:11,879 Speaker 1: of my favorite flavors. So that's um. I beat the 408 00:23:11,920 --> 00:23:16,199 Speaker 1: odds for that. This is crazy ice cream flavor preference. 409 00:23:16,920 --> 00:23:20,760 Speaker 1: I'm more likely to prefer chocolate over vanilla, and god 410 00:23:20,920 --> 00:23:25,000 Speaker 1: damn are they right. I don't understand people who would 411 00:23:25,040 --> 00:23:27,840 Speaker 1: ever prefer vanilla over chocolate. I know vanilla is a 412 00:23:27,880 --> 00:23:29,719 Speaker 1: taste and that it isn't the lack of like some 413 00:23:29,720 --> 00:23:32,720 Speaker 1: people associate vanilla with like plain. No, vanilla is a 414 00:23:32,760 --> 00:23:35,440 Speaker 1: specific taste. What would you like? What do you like more. 415 00:23:35,840 --> 00:23:37,920 Speaker 1: It tells me that I'm more likely to like chocolate, 416 00:23:37,960 --> 00:23:40,119 Speaker 1: but I am, Um, I would say I lean more 417 00:23:40,200 --> 00:23:46,040 Speaker 1: to vanilla. Sorry, I'm not gonna if you want to do. 418 00:23:46,080 --> 00:23:48,560 Speaker 1: But you get no topping. No, you get no topping. 419 00:23:48,680 --> 00:23:50,359 Speaker 1: You just get a bowl of ice cream. You were 420 00:23:50,400 --> 00:23:53,879 Speaker 1: gonna go vanilla over chocolatella because I like a vanilla 421 00:23:53,920 --> 00:23:58,639 Speaker 1: shake over a chocolate chake. Whoa, I am blown away? Okay, 422 00:23:58,880 --> 00:24:04,480 Speaker 1: sweet versus salty? What did it say for you? It's 423 00:24:04,520 --> 00:24:06,399 Speaker 1: right under ice cream. For me, it says I likely 424 00:24:06,440 --> 00:24:12,320 Speaker 1: prefer sweet, and they are correct sir. Um. Oh yeah, 425 00:24:12,880 --> 00:24:17,640 Speaker 1: salty for me. That's why I guess you know town 426 00:24:18,240 --> 00:24:23,680 Speaker 1: do they say? They say, Nikki, the combination of your 427 00:24:23,680 --> 00:24:26,960 Speaker 1: genetics and other factors make you likely to prefer sweet sex. 428 00:24:27,000 --> 00:24:29,479 Speaker 1: So they take everyone's results and then they put them 429 00:24:29,520 --> 00:24:31,800 Speaker 1: against each other, and then based on surveys they do, 430 00:24:32,240 --> 00:24:35,760 Speaker 1: they can determine, um, what you like. And so they 431 00:24:35,840 --> 00:24:39,240 Speaker 1: nailed it for me, and then I really loved this 432 00:24:39,760 --> 00:24:42,520 Speaker 1: than they do. There's a whole section called weird and Wonderful, 433 00:24:42,560 --> 00:24:46,000 Speaker 1: and there's aleven different traits. Um. There is a thing. Um. 434 00:24:46,160 --> 00:24:47,520 Speaker 1: First of all, I just want to say that it 435 00:24:47,600 --> 00:24:50,280 Speaker 1: is it says I'm less likely than average to have 436 00:24:50,320 --> 00:24:54,280 Speaker 1: a bunyon and boy is that off. Fear of heights. 437 00:24:54,400 --> 00:24:56,399 Speaker 1: I'm more likely than average to be afraid of heights. 438 00:24:56,560 --> 00:24:58,520 Speaker 1: That is true. I am less likely to have a 439 00:24:58,560 --> 00:25:00,439 Speaker 1: fear of public speaking. That is not true. I had 440 00:25:00,440 --> 00:25:01,800 Speaker 1: a huge fear of it. I had to conquer it. 441 00:25:02,000 --> 00:25:04,280 Speaker 1: Flat feet, I am less likely to have flat feet. 442 00:25:04,320 --> 00:25:06,399 Speaker 1: I do not have flat feet. Um, that is correct. 443 00:25:06,760 --> 00:25:09,080 Speaker 1: Less likely to have thick care Fuck you twenty three 444 00:25:09,080 --> 00:25:11,840 Speaker 1: and me. You're right on that one. Ms aphonia. I 445 00:25:11,840 --> 00:25:14,240 Speaker 1: am more likely to hate chowing sounds. That is true. 446 00:25:14,440 --> 00:25:16,520 Speaker 1: I don't. I don't I like some of them. The 447 00:25:16,560 --> 00:25:18,800 Speaker 1: only ones I can't stand are my mom. She choose 448 00:25:18,840 --> 00:25:20,680 Speaker 1: with her mouth clothes, but her jaw cracks in a 449 00:25:20,720 --> 00:25:24,080 Speaker 1: way that discuss me. Mosquito bite frequency, well, this just 450 00:25:24,119 --> 00:25:26,600 Speaker 1: came out last week that that your smell, and you're like, 451 00:25:26,960 --> 00:25:29,280 Speaker 1: if you have this certain kind of chemical in your skin, 452 00:25:29,359 --> 00:25:32,240 Speaker 1: mosquitoes are more likely to bite you. And I am 453 00:25:32,280 --> 00:25:35,440 Speaker 1: likely to be bitten more often than others. I actually, 454 00:25:35,480 --> 00:25:37,399 Speaker 1: as a kid got bitten a lot, and I don't anymore. 455 00:25:37,440 --> 00:25:39,200 Speaker 1: I do think it's because of a vegan diet. That's 456 00:25:39,200 --> 00:25:42,000 Speaker 1: when I felt the shift um motion sickness, I'm more 457 00:25:42,040 --> 00:25:44,639 Speaker 1: likely to experience most sickness. I do not feel like 458 00:25:44,720 --> 00:25:48,560 Speaker 1: that is true for me. Photo seek photic sneeze reflex. 459 00:25:48,920 --> 00:25:51,040 Speaker 1: That means when you see a light, you might sneeze. 460 00:25:51,080 --> 00:25:53,080 Speaker 1: I am likely to not have that. And a wake 461 00:25:53,160 --> 00:25:55,840 Speaker 1: up time. What is your wake up time? It gives 462 00:25:55,840 --> 00:26:00,320 Speaker 1: you or likely to wake up around uh years old? 463 00:26:00,720 --> 00:26:07,560 Speaker 1: It's I everything works out Amy, what are you yeah? 464 00:26:11,480 --> 00:26:13,960 Speaker 1: Which is so early I would love if they said 465 00:26:16,000 --> 00:26:19,239 Speaker 1: yeah yeah. But then the really interesting one which we're 466 00:26:19,240 --> 00:26:22,320 Speaker 1: going to test out is ability to match musical pitch. 467 00:26:22,520 --> 00:26:25,280 Speaker 1: I have about a chance of being able to match 468 00:26:25,600 --> 00:26:29,680 Speaker 1: a musical pitch. I don't really understand exactly what this means. 469 00:26:30,040 --> 00:26:32,359 Speaker 1: If you hear a music note, musical note, can you 470 00:26:32,400 --> 00:26:35,360 Speaker 1: sing it back while matching pitch comes match? Oh, this 471 00:26:35,440 --> 00:26:37,159 Speaker 1: is just being if you have good pitch or not. 472 00:26:37,680 --> 00:26:41,000 Speaker 1: So Noah, give us notes and then um, we'll go 473 00:26:41,080 --> 00:26:42,840 Speaker 1: back and forth and try to match them. And really 474 00:26:42,920 --> 00:26:45,080 Speaker 1: the only way to determine if we're right is based 475 00:26:45,119 --> 00:26:47,160 Speaker 1: on the other people who are hearing it in our listeners. 476 00:26:47,560 --> 00:26:50,320 Speaker 1: So listeners will see what is your musical pitch likelihood? 477 00:26:51,880 --> 00:26:54,200 Speaker 1: As well, I believe, so we'll see what happens. Let's 478 00:26:54,200 --> 00:26:56,360 Speaker 1: see what it is. I have a feeling that you 479 00:26:56,440 --> 00:26:58,919 Speaker 1: have a pretty good pitch based on I think I 480 00:26:58,960 --> 00:27:02,200 Speaker 1: get here. Well, I don't think I can say it's 481 00:27:02,240 --> 00:27:07,760 Speaker 1: like the same way. Yeah, so I don't know, babe. Okay, 482 00:27:07,880 --> 00:27:12,119 Speaker 1: so let's um, let's try it out. No, will you 483 00:27:12,160 --> 00:27:15,720 Speaker 1: give us um some pitches? Okay, let me give you 484 00:27:16,119 --> 00:27:18,280 Speaker 1: all right, this guy falls down in a well, his 485 00:27:18,400 --> 00:27:24,520 Speaker 1: dog saves him, and I think it will be great. 486 00:27:24,960 --> 00:27:30,520 Speaker 1: Let's buy twell up as out. Um. All right, Andrew, 487 00:27:30,560 --> 00:27:32,320 Speaker 1: you go first, so she'll give you a note and 488 00:27:32,359 --> 00:27:41,639 Speaker 1: then you have to match it. Okayn, fail, I can't 489 00:27:41,640 --> 00:27:50,760 Speaker 1: get that. H Let's do it again. Okay, now do 490 00:27:50,800 --> 00:27:53,320 Speaker 1: it to a different note. I'll just bring out my guitar. 491 00:27:53,359 --> 00:27:58,120 Speaker 1: Hold up, you should get out your guitar. Okay. Um, 492 00:27:58,119 --> 00:28:05,560 Speaker 1: I don't know if it's perfectly Tookay, Andrew, match this wrong? Wrong, 493 00:28:09,359 --> 00:28:11,679 Speaker 1: because I can. I think I have a good fitch 494 00:28:14,280 --> 00:28:23,440 Speaker 1: perfect m a little higher, but it's on the same 495 00:28:24,320 --> 00:28:37,760 Speaker 1: What do you do an open like g string or something? Okay, 496 00:28:38,440 --> 00:28:44,520 Speaker 1: I'm serious, Andrew, You're off best. Sisily right to us 497 00:28:44,520 --> 00:28:48,120 Speaker 1: and tell us what because I really can't tell, but 498 00:28:48,280 --> 00:28:52,000 Speaker 1: I think I'm right, but I always do. Okay, I 499 00:28:52,040 --> 00:28:57,000 Speaker 1: don't think I'm right. Okay, final thought, Um, a couple more. 500 00:28:57,080 --> 00:29:02,600 Speaker 1: This is fun. Give me you got that one right? 501 00:29:02,640 --> 00:29:06,160 Speaker 1: That was good? That was good. The higher ones are tough. Okay, 502 00:29:06,160 --> 00:29:08,480 Speaker 1: well let's try to make one again. The lober one 503 00:29:08,520 --> 00:29:15,320 Speaker 1: you before you sucked up? Okay, well more time, got it, 504 00:29:15,440 --> 00:29:43,160 Speaker 1: got it? Got it's good. Job keep trying, no job. Yeah, yeah, 505 00:29:44,560 --> 00:29:46,880 Speaker 1: I don't know about what. I really loved learning all 506 00:29:46,920 --> 00:29:49,240 Speaker 1: this weird stuff and just like seeing like if if 507 00:29:49,360 --> 00:29:52,160 Speaker 1: my you know, it doesn't tell you exactly what you are, 508 00:29:52,520 --> 00:29:54,160 Speaker 1: but what it does is like it makes you look 509 00:29:54,160 --> 00:29:55,920 Speaker 1: at the things that you do have and you go, oh, 510 00:29:56,040 --> 00:30:00,200 Speaker 1: did I beat the odds or was I predictable? And 511 00:30:00,320 --> 00:30:02,040 Speaker 1: what I came out? And it doesn't it makes you 512 00:30:02,080 --> 00:30:04,720 Speaker 1: feel seen. I feel like I was so seen, and 513 00:30:04,760 --> 00:30:06,560 Speaker 1: I think you were too. When I looked at your 514 00:30:06,560 --> 00:30:10,000 Speaker 1: results that I can't flush alcohol and it says you 515 00:30:10,040 --> 00:30:13,000 Speaker 1: can't either, and it explains why our hangovers were so 516 00:30:13,040 --> 00:30:16,440 Speaker 1: bad and why we probably quit drinking because we were 517 00:30:16,520 --> 00:30:20,280 Speaker 1: really yeah yeah, when neither one of us flush was 518 00:30:20,400 --> 00:30:24,240 Speaker 1: like when your face gets really red Oh no, I'm thinking, like, 519 00:30:24,280 --> 00:30:27,440 Speaker 1: you flush it out of your system? Oh really, well, 520 00:30:27,440 --> 00:30:30,960 Speaker 1: which one is it? Because I did see that. I 521 00:30:30,960 --> 00:30:38,360 Speaker 1: don't know where's that. I want to find that damn 522 00:30:38,400 --> 00:30:41,400 Speaker 1: it you know what means? I feel like that's what 523 00:30:41,440 --> 00:30:43,920 Speaker 1: it was. But maybe I'm wrong here. Let me see 524 00:30:44,000 --> 00:30:46,239 Speaker 1: unlikely to flush. I'm looking at this mine based when 525 00:30:46,280 --> 00:30:49,080 Speaker 1: your genet, you were unlikely to flush after drinking alcohol. 526 00:30:49,080 --> 00:30:51,960 Speaker 1: People with your genets can typically process alcohol normally. As 527 00:30:51,960 --> 00:30:53,960 Speaker 1: a result, they don't tend to flush bright red in 528 00:30:54,000 --> 00:30:56,240 Speaker 1: the face or experience. See this is another Asian thing. 529 00:30:56,600 --> 00:31:01,240 Speaker 1: Asian people with Asian heritage often get really red when 530 00:31:01,240 --> 00:31:03,920 Speaker 1: they drink. I like how you're like, we don't flush 531 00:31:03,920 --> 00:31:09,160 Speaker 1: it out of our systems. I was like, I wonder 532 00:31:09,200 --> 00:31:11,480 Speaker 1: if this would predictive. I'm likely to flush the toilet 533 00:31:11,960 --> 00:31:15,480 Speaker 1: because I forget to flush the toilet all the time. 534 00:31:17,600 --> 00:31:21,000 Speaker 1: It's like a damn in there. No living was if 535 00:31:21,040 --> 00:31:23,320 Speaker 1: I pee, like I don't flush? What if I'm living 536 00:31:23,360 --> 00:31:25,320 Speaker 1: by myself, I don't care to pee on top of 537 00:31:25,360 --> 00:31:28,680 Speaker 1: my pa, my pa unless it's like bright yellow. I 538 00:31:28,680 --> 00:31:31,280 Speaker 1: don't think it smells bad. But also I don't smell 539 00:31:31,320 --> 00:31:33,480 Speaker 1: asparagus p even though twenty three me things that I 540 00:31:33,520 --> 00:31:37,240 Speaker 1: would um. I I never I always forget to flush 541 00:31:37,280 --> 00:31:40,960 Speaker 1: the toilet. I often also miss the toilet paper going 542 00:31:41,000 --> 00:31:44,440 Speaker 1: into the toilet, Like I I backhanded behind me and 543 00:31:44,440 --> 00:31:46,200 Speaker 1: it doesn't hit it in the bowl. And sometimes the 544 00:31:46,240 --> 00:31:50,960 Speaker 1: toilets just on the ground. Yeah, I would say the time, 545 00:31:51,080 --> 00:31:58,080 Speaker 1: I don't mean it has That's our show for today. 546 00:31:58,520 --> 00:32:00,280 Speaker 1: Thanks for joining us. Thank you to ty three and 547 00:32:00,360 --> 00:32:03,080 Speaker 1: me for looking us up with all these fun, fascinating 548 00:32:03,080 --> 00:32:08,040 Speaker 1: traces about ourselves. If I if there's poop on it, 549 00:32:08,080 --> 00:32:10,480 Speaker 1: I will definitely get it in because I'm like cognizant. 550 00:32:10,600 --> 00:32:12,480 Speaker 1: But if it's p and it's just like, I just 551 00:32:12,520 --> 00:32:14,000 Speaker 1: kind of like toss it. And a lot of times 552 00:32:14,000 --> 00:32:15,480 Speaker 1: it's just sitting there. When I used to live with 553 00:32:15,600 --> 00:32:18,880 Speaker 1: Kirsten and our house on Tennessee Street, College, she had 554 00:32:18,920 --> 00:32:21,400 Speaker 1: like a meeting. She's like, who is not putting the 555 00:32:21,440 --> 00:32:23,600 Speaker 1: toilet over? And I was just like, I never admitted it, 556 00:32:23,640 --> 00:32:25,720 Speaker 1: but it was me, Kerson. If you're listening, it was me. 557 00:32:25,880 --> 00:32:31,440 Speaker 1: It was me the whole time. Alright, guys, it's me. Hi, 558 00:32:31,960 --> 00:32:35,720 Speaker 1: I'm the culprit. It's p Thank you for listening. Don't 559 00:32:35,760 --> 00:32:50,840 Speaker 1: be Jack the Lantern for lesson Perfect, I'm not that great.