1 00:00:04,320 --> 00:00:07,000 Speaker 1: Hey, and welcome to the Short Stuff on Josh. There's Chuck, 2 00:00:07,080 --> 00:00:09,840 Speaker 1: there's Jerry in for Dave, and this is short Stuff 3 00:00:10,600 --> 00:00:14,400 Speaker 1: the Happy Foods edition, which I'm good with. I like 4 00:00:14,480 --> 00:00:18,320 Speaker 1: Happy Foods. Did you remember this from your past? My friend? 5 00:00:18,840 --> 00:00:22,640 Speaker 1: What do you mean you wrote this article? No? I didn't. 6 00:00:23,560 --> 00:00:25,680 Speaker 1: This is uh, this is back when we were at 7 00:00:25,680 --> 00:00:28,680 Speaker 1: hou Supports dot com and this was a Josh Clark special. No, 8 00:00:29,120 --> 00:00:32,920 Speaker 1: I did not. I have no recollection of it whatsoever. Chuck. 9 00:00:33,280 --> 00:00:36,520 Speaker 1: You know why is because I uh sent you the file. 10 00:00:36,600 --> 00:00:39,280 Speaker 1: I cut out the Remember we always had to do 11 00:00:39,320 --> 00:00:41,360 Speaker 1: this kind of corny couple of paragraphs at the beginning. 12 00:00:41,960 --> 00:00:46,240 Speaker 1: I cut those out. Okay, all right, I mean listen 13 00:00:46,280 --> 00:00:51,120 Speaker 1: to this sentence. Gabba is produced during the crib cycle, 14 00:00:51,400 --> 00:00:54,440 Speaker 1: a physiological process by which new treats are converted to 15 00:00:54,560 --> 00:00:58,040 Speaker 1: energy for cellular use. I should have seen my own 16 00:00:58,080 --> 00:01:01,560 Speaker 1: genius in that amazing sentence. Let me ask you, honestly, 17 00:01:01,560 --> 00:01:03,440 Speaker 1: when you were reading this or you're like, oh god, 18 00:01:03,600 --> 00:01:05,640 Speaker 1: this this stuff a little bit, I was like, Wow, 19 00:01:05,680 --> 00:01:10,080 Speaker 1: that's a pretty ancient Cornell University study. And I'm sure 20 00:01:10,080 --> 00:01:14,360 Speaker 1: those two seventy seven participants were probably undergrads getting extra credit. 21 00:01:14,520 --> 00:01:17,839 Speaker 1: So yeah, I did beat up on myself a little bit. Well, 22 00:01:17,920 --> 00:01:20,600 Speaker 1: this is a Josh Clark special and it's about how 23 00:01:20,959 --> 00:01:25,200 Speaker 1: certain foods can make you happier and some foods can 24 00:01:25,240 --> 00:01:29,040 Speaker 1: make you maybe tend toward depression or a little down. 25 00:01:29,360 --> 00:01:32,080 Speaker 1: And it is not just I'm not talking about comfort 26 00:01:32,080 --> 00:01:34,360 Speaker 1: food We are going to mention that briefly, but it's 27 00:01:34,440 --> 00:01:39,920 Speaker 1: it's it's science, right, science, yes, thank you, so yeah, 28 00:01:39,959 --> 00:01:42,520 Speaker 1: And there's a distinction that we'll get to happy foods 29 00:01:42,520 --> 00:01:45,480 Speaker 1: and comfort foods. I call them happy foods. That's another thing. 30 00:01:45,480 --> 00:01:48,600 Speaker 1: I was like, that's a pretty deufest thing to call them, 31 00:01:48,640 --> 00:01:51,320 Speaker 1: I feel, But it's weird. Is I feel comforted knowing 32 00:01:51,360 --> 00:01:53,760 Speaker 1: that I was criticizing myself. It all just seems right 33 00:01:53,800 --> 00:01:57,880 Speaker 1: and normal now. But um, we're gonna call them because 34 00:01:58,000 --> 00:01:59,880 Speaker 1: I call them that back in the day, back in 35 00:02:00,040 --> 00:02:03,200 Speaker 1: the odds. Happy foods, which are foods that actually can 36 00:02:03,360 --> 00:02:08,480 Speaker 1: affect your mood, whereas UH like directly through physiological action, 37 00:02:08,520 --> 00:02:11,640 Speaker 1: whereas comfort foods or things that have uh an effect 38 00:02:11,639 --> 00:02:15,560 Speaker 1: on your mood through psychological processes. Right, And if you're 39 00:02:15,560 --> 00:02:17,639 Speaker 1: talking about the brain and the transmitters, there are a 40 00:02:17,720 --> 00:02:22,640 Speaker 1: couple that are largely responsible for our moods. Uh, inhibitory 41 00:02:22,680 --> 00:02:26,280 Speaker 1: and are we going with excitatory or excitatory excited tory? 42 00:02:26,720 --> 00:02:28,320 Speaker 1: That thought? So I just wanted to make sure you 43 00:02:28,360 --> 00:02:32,639 Speaker 1: wrote it, just deferring to the author. This is so bizarre. 44 00:02:33,280 --> 00:02:37,280 Speaker 1: So excitatory transmitters we're talking about, like Nora f and Eprin, 45 00:02:38,800 --> 00:02:41,160 Speaker 1: Nora Epefrin. Did I say it wrong? I think you 46 00:02:41,200 --> 00:02:47,480 Speaker 1: said Nora to man. She's been making appearances all over 47 00:02:47,520 --> 00:02:52,600 Speaker 1: the place lately, probably parts of sound like her. Uh 48 00:02:52,639 --> 00:02:56,079 Speaker 1: they stimulate she passed away, right? Oh? Did she? Yes? 49 00:02:56,160 --> 00:02:58,560 Speaker 1: I'm pretty sure one of the greats. Yes, she really 50 00:02:58,600 --> 00:03:00,760 Speaker 1: was one of the great like I don't want to say, 51 00:03:01,320 --> 00:03:05,120 Speaker 1: you know, unsung like she was hugely successful, but I 52 00:03:05,160 --> 00:03:07,280 Speaker 1: think she was even even more of a genius than 53 00:03:07,320 --> 00:03:10,800 Speaker 1: she gets credit for. One of the great writers. Uh so, 54 00:03:10,840 --> 00:03:14,760 Speaker 1: where was I was with Nora epinephrin. They stimulate our body, 55 00:03:14,800 --> 00:03:17,120 Speaker 1: they stimulate our mind, but it can be too much. 56 00:03:17,800 --> 00:03:21,160 Speaker 1: And what you need is a balance of those excitatory 57 00:03:21,200 --> 00:03:25,760 Speaker 1: neurotransmitters and the inhibitory which provide which gives things like 58 00:03:25,760 --> 00:03:28,560 Speaker 1: seratonin to kind of balance things out. And that's kind 59 00:03:28,560 --> 00:03:31,200 Speaker 1: of where the true good mood lies. Right as I 60 00:03:31,240 --> 00:03:33,880 Speaker 1: put it, Ultimately, the best moods are found when there's 61 00:03:33,919 --> 00:03:36,640 Speaker 1: a balance between these two types. I remember thinking like 62 00:03:36,720 --> 00:03:42,480 Speaker 1: best And so the thing is is like when when 63 00:03:42,680 --> 00:03:48,560 Speaker 1: we start producing these neurotransmitters like serotonin or nora epephrin, 64 00:03:48,880 --> 00:03:51,680 Speaker 1: like we actually make them out of the food that 65 00:03:51,720 --> 00:03:54,240 Speaker 1: we eat. We eat the food, our bodies break down 66 00:03:54,280 --> 00:03:57,440 Speaker 1: the food, and we use those as building blocks as 67 00:03:57,520 --> 00:04:01,120 Speaker 1: constituent nutrients is building box for things like aero transmitters. 68 00:04:01,160 --> 00:04:05,320 Speaker 1: So there are actually foods that can aid in our 69 00:04:05,520 --> 00:04:09,320 Speaker 1: mood and a big one. Serotonin is a really big neurotransmitter, 70 00:04:09,720 --> 00:04:14,120 Speaker 1: one of the biggest, and it's it's frequently considered like 71 00:04:14,480 --> 00:04:18,520 Speaker 1: a happy neurotransmitter. It's an inhibitor. It kind of says, 72 00:04:18,560 --> 00:04:21,799 Speaker 1: mellow out, nora A penephrin helps you kind of stay 73 00:04:21,800 --> 00:04:26,000 Speaker 1: calm uh, stay relaxed, being a good mood. And there's 74 00:04:26,040 --> 00:04:28,240 Speaker 1: a lot of foods out there that actually help you 75 00:04:28,320 --> 00:04:31,480 Speaker 1: make serotonin. Yeah, it says put on. When Harry met 76 00:04:31,520 --> 00:04:35,520 Speaker 1: Sally and have some turkey and bananas and you're like, 77 00:04:35,600 --> 00:04:37,680 Speaker 1: that's not a very good combo, and they said, well, 78 00:04:37,720 --> 00:04:39,680 Speaker 1: add some spinach and that will really tie it all together. 79 00:04:40,520 --> 00:04:43,880 Speaker 1: But those things are all very high and full late 80 00:04:44,640 --> 00:04:48,760 Speaker 1: and that's a B vitamin that serotonin needs to be 81 00:04:48,880 --> 00:04:52,120 Speaker 1: made fully and tripped to fan too. And trip to 82 00:04:52,160 --> 00:04:55,200 Speaker 1: fan is is remarkable because it can go directly into 83 00:04:55,240 --> 00:04:59,000 Speaker 1: your brain. It can cross the blood brain barrier, and interestingly, 84 00:04:59,080 --> 00:05:02,640 Speaker 1: serotonin can across the blood brain barrier. So since trip 85 00:05:02,680 --> 00:05:06,839 Speaker 1: to fan directly is translated into serotonin in the brain, 86 00:05:08,080 --> 00:05:11,560 Speaker 1: you're basically feeding your brain serotonin when you eat turkey 87 00:05:11,560 --> 00:05:15,720 Speaker 1: and bananas another trip to fan containing foods. That's right. 88 00:05:16,120 --> 00:05:18,520 Speaker 1: I say, we take a break and we're gonna get back, 89 00:05:18,520 --> 00:05:20,440 Speaker 1: and I'm gonna let the author speak to the crib 90 00:05:20,480 --> 00:05:46,160 Speaker 1: cycle right after this, All right, Dr Crabs. It always 91 00:05:46,160 --> 00:05:48,720 Speaker 1: reminds me of um, the Adventures of Pete and Pete, 92 00:05:48,800 --> 00:05:51,159 Speaker 1: because I think there's like creb Co or something was 93 00:05:51,240 --> 00:05:54,600 Speaker 1: like the generic company that they all I think so, 94 00:05:55,160 --> 00:05:57,679 Speaker 1: but it reminded me of the crib cycle. So, um, 95 00:05:57,839 --> 00:06:02,560 Speaker 1: gabba is gabba? You know you tyroic acid or gaba. 96 00:06:02,600 --> 00:06:05,640 Speaker 1: Everybody knows what gabba is. It's called nature's valum or 97 00:06:05,680 --> 00:06:09,080 Speaker 1: so I said in quotes, and it is indeed made 98 00:06:09,120 --> 00:06:13,599 Speaker 1: during the crib cycle. Um, where you convert energy for use, 99 00:06:13,720 --> 00:06:17,880 Speaker 1: nutrients converted to energy for later use, and um, gabba 100 00:06:17,880 --> 00:06:22,000 Speaker 1: helps you sleep, it helps you mellow out. Um. And 101 00:06:22,279 --> 00:06:26,560 Speaker 1: it's based on what we get from foods, uh called glutamates, 102 00:06:26,640 --> 00:06:29,280 Speaker 1: and I think those are actually also the basis for 103 00:06:29,560 --> 00:06:32,720 Speaker 1: umami too, in that correct glutam Yeah, that sounds really 104 00:06:32,760 --> 00:06:35,719 Speaker 1: all this stuff sort of was ringing some bells. But 105 00:06:35,800 --> 00:06:38,160 Speaker 1: the idea is if you eat something like sesame or 106 00:06:38,200 --> 00:06:40,919 Speaker 1: sunflower seeds, or if you're a meat eater and you 107 00:06:41,000 --> 00:06:43,160 Speaker 1: like pork and beef, you're gonna be getting a lot 108 00:06:43,160 --> 00:06:45,359 Speaker 1: of that glutamate. And that's that amino acid, which is 109 00:06:45,400 --> 00:06:48,279 Speaker 1: a big It's not gava, but it helps make gabba 110 00:06:49,360 --> 00:06:54,160 Speaker 1: and that can glutam glutamine. Did I say glutamate? I've 111 00:06:54,160 --> 00:06:56,320 Speaker 1: been saying glutamates, but it is glutamines, and I'm sure 112 00:06:56,320 --> 00:07:00,000 Speaker 1: there's a pretty substantial difference between those two, right, So glutamy, 113 00:07:00,400 --> 00:07:04,200 Speaker 1: told emails is what we mean, and that can transcend 114 00:07:04,200 --> 00:07:07,599 Speaker 1: the blood brain barrier. And so you're gonna have you know, 115 00:07:07,640 --> 00:07:11,200 Speaker 1: a pretty uh significant impact on your happiness which your 116 00:07:11,200 --> 00:07:13,800 Speaker 1: foods that you're eating there, which is pretty cool to think, 117 00:07:13,840 --> 00:07:16,960 Speaker 1: like you're like the food you eat can actually impact 118 00:07:17,040 --> 00:07:19,320 Speaker 1: your mood. You know, it makes you kind of want to, 119 00:07:19,520 --> 00:07:24,160 Speaker 1: you know, nourish yourself. Other times though you say, I 120 00:07:24,240 --> 00:07:26,280 Speaker 1: don't want to nourish myself at all. I wanted the 121 00:07:26,320 --> 00:07:29,560 Speaker 1: exact opposite of that, because I need comfort food. And 122 00:07:29,640 --> 00:07:32,600 Speaker 1: here again we reach that distinction. Whereas those happy foods, 123 00:07:32,640 --> 00:07:36,560 Speaker 1: those foods that can actually influence the production of GABBA 124 00:07:36,600 --> 00:07:41,520 Speaker 1: and serotonin in your brain. Um, those are different from 125 00:07:41,640 --> 00:07:46,760 Speaker 1: comfort foods, which basically activate neural pathways of happier time 126 00:07:46,960 --> 00:07:49,720 Speaker 1: and that we crave to make ourselves feel better when 127 00:07:49,760 --> 00:07:52,760 Speaker 1: we're not feeling very good. Yeah, which is you know, 128 00:07:52,880 --> 00:07:57,560 Speaker 1: it's the difference of physiology and psychology. And you know, 129 00:07:57,680 --> 00:08:01,000 Speaker 1: what you've mentioned is pretty true because I think, I 130 00:08:01,000 --> 00:08:03,880 Speaker 1: think if you did a survey of people, you would 131 00:08:03,920 --> 00:08:07,040 Speaker 1: find that most people lean toward comfort foods. That is, 132 00:08:07,080 --> 00:08:09,520 Speaker 1: something their grandma made or their mom or dad made, 133 00:08:09,560 --> 00:08:12,160 Speaker 1: or something like that when they're a little that reminds 134 00:08:12,200 --> 00:08:15,400 Speaker 1: them of maybe a special time or happier time in 135 00:08:15,440 --> 00:08:17,320 Speaker 1: their life, or maybe a time when things were a 136 00:08:17,320 --> 00:08:20,520 Speaker 1: little more simple. Maybe dare I say, Mr Hodgeman a 137 00:08:20,600 --> 00:08:24,280 Speaker 1: bit more nostalgic, But you know, my comfort foods are 138 00:08:24,320 --> 00:08:27,960 Speaker 1: those like mashed potatoes and fried chicken and is like 139 00:08:28,000 --> 00:08:31,040 Speaker 1: sort of good old southern home cooking is my comfort 140 00:08:31,080 --> 00:08:34,280 Speaker 1: food because I remember my mom and my grandmother making 141 00:08:34,280 --> 00:08:37,280 Speaker 1: all that stuff and and just chowing down on it 142 00:08:37,320 --> 00:08:40,200 Speaker 1: when there was no regard. And that's probably part of 143 00:08:40,200 --> 00:08:42,440 Speaker 1: it too, as an adult who gets older and like 144 00:08:42,559 --> 00:08:44,960 Speaker 1: has to deal with, you know, weight issues back when 145 00:08:45,320 --> 00:08:48,120 Speaker 1: it didn't matter when you were a child and you 146 00:08:48,120 --> 00:08:50,200 Speaker 1: could just eat all of that stuff and you had 147 00:08:50,200 --> 00:08:54,280 Speaker 1: the metabolism of a of a gnat and it just, uh, 148 00:08:54,520 --> 00:08:58,560 Speaker 1: you could consume guilt free. Yeah, so comfort foods like yeah, 149 00:09:00,200 --> 00:09:02,840 Speaker 1: that was like he just kind of took me back, man. Man, 150 00:09:03,240 --> 00:09:06,480 Speaker 1: So like, what's your comfort food? I I I don't 151 00:09:06,480 --> 00:09:09,880 Speaker 1: know what my comfort foods are. Um, I like sweet stuff. 152 00:09:09,920 --> 00:09:16,400 Speaker 1: I like cakes, Um, cookies, Uh, donuts are big time 153 00:09:16,440 --> 00:09:19,079 Speaker 1: comfort food of mine. Is that childhood stuff for you? 154 00:09:19,640 --> 00:09:22,000 Speaker 1: So I've learned not to look too deeply into the 155 00:09:22,000 --> 00:09:24,920 Speaker 1: psychology behind my comfort foods. Were also started leaping, So 156 00:09:25,360 --> 00:09:27,360 Speaker 1: I just take him on face value. I'm like, this 157 00:09:27,400 --> 00:09:29,520 Speaker 1: makes me feel good. This is the food I go to, 158 00:09:29,640 --> 00:09:31,440 Speaker 1: you know, you go home or Simpson, which is fine. 159 00:09:31,800 --> 00:09:34,960 Speaker 1: So um with comfort foods. The fact it's like donuts 160 00:09:35,000 --> 00:09:37,400 Speaker 1: for me and fried chicken for you, Like it under 161 00:09:37,480 --> 00:09:40,679 Speaker 1: underlines the fact that, like it's a really personal choice. 162 00:09:41,200 --> 00:09:46,320 Speaker 1: But apparently, um, there are kind of commonalities between say, 163 00:09:46,400 --> 00:09:51,080 Speaker 1: like men and women. Um, who over who wants what 164 00:09:51,200 --> 00:09:54,560 Speaker 1: when they're craving comfort food. Yeah. There was a study 165 00:09:54,559 --> 00:09:58,760 Speaker 1: in two thousand five out of Cornell that surveyed close 166 00:09:58,800 --> 00:10:02,160 Speaker 1: to three hundred sister undered men and women and found 167 00:10:02,200 --> 00:10:05,640 Speaker 1: that women tend to seek sugary things more than men do. 168 00:10:06,440 --> 00:10:09,679 Speaker 1: Men tend to seek out things like I do, like soup. 169 00:10:09,800 --> 00:10:12,840 Speaker 1: I gotta say it's a comfort food. Soup and steak 170 00:10:12,840 --> 00:10:16,400 Speaker 1: and things like that. Steak is a comfort food. Well, 171 00:10:16,440 --> 00:10:19,160 Speaker 1: I mean according to Cornell, but I'm saying for you, 172 00:10:19,280 --> 00:10:22,440 Speaker 1: is it a comfort food? Oh? I mean I love steak. 173 00:10:22,480 --> 00:10:25,200 Speaker 1: I don't know that I would say it's a comfort 174 00:10:25,200 --> 00:10:29,240 Speaker 1: food for me. It's like my body's like get steak, eat. Now. 175 00:10:30,160 --> 00:10:32,400 Speaker 1: That's how I end up eating a steak. It's not 176 00:10:32,520 --> 00:10:35,240 Speaker 1: like I'm feeling down, Josh, I could really use a steak. 177 00:10:35,280 --> 00:10:38,800 Speaker 1: That's never like it's it's rainy day and you're not 178 00:10:39,000 --> 00:10:41,840 Speaker 1: feeling a little blue. Yeah, exactly, Like a nice bowl 179 00:10:41,880 --> 00:10:44,199 Speaker 1: of soup sounds really good, but not Yeah, you're right, 180 00:10:44,520 --> 00:10:48,760 Speaker 1: not a not a toilet bowl, toilet seat size steak. 181 00:10:49,720 --> 00:10:51,800 Speaker 1: It's not what I'm going for when I'm looking for 182 00:10:51,920 --> 00:10:56,600 Speaker 1: comfort food. Uh. They also found that these cis gendered 183 00:10:56,600 --> 00:11:00,400 Speaker 1: men tend to use comfort food as the reward, while 184 00:11:00,440 --> 00:11:04,120 Speaker 1: women might feel guilty about it, uh, and that there 185 00:11:04,120 --> 00:11:07,720 Speaker 1: may be an evolutionary advantage for women when it comes 186 00:11:07,760 --> 00:11:11,840 Speaker 1: to that this sounds awfully made up. Oh you wrote it, 187 00:11:12,040 --> 00:11:14,600 Speaker 1: I know. I'm trying to suss out if I did 188 00:11:14,640 --> 00:11:16,640 Speaker 1: make it up. I don't think I did. So it 189 00:11:16,760 --> 00:11:21,400 Speaker 1: does sound editorial though, that that this idea that, um, 190 00:11:21,440 --> 00:11:25,720 Speaker 1: if if you are craving comfort food all the time 191 00:11:26,200 --> 00:11:30,360 Speaker 1: and you just eat it willy nilly, that's not typically 192 00:11:30,360 --> 00:11:32,200 Speaker 1: good for you. Because the foods that we crave for 193 00:11:32,240 --> 00:11:36,840 Speaker 1: comfort or not particularly nourishing or nutrient rich or nutrient dents, 194 00:11:37,360 --> 00:11:39,960 Speaker 1: they may or may not be bad for your junk food, 195 00:11:39,960 --> 00:11:43,760 Speaker 1: depending on your perspective about food. So I don't know 196 00:11:43,800 --> 00:11:46,960 Speaker 1: if that's like an evolutionary thing. That sounds like a 197 00:11:47,000 --> 00:11:51,880 Speaker 1: segue that I forced, but who knows. Well. There's also 198 00:11:52,000 --> 00:11:55,840 Speaker 1: the idea that if you are not eating something the 199 00:11:55,920 --> 00:11:59,360 Speaker 1: lack of that can physiologically affect your mood. Because there's 200 00:11:59,400 --> 00:12:05,040 Speaker 1: a fatty said called d h A h DACKO say 201 00:12:05,480 --> 00:12:13,520 Speaker 1: saw hexonic dacos to hexonic. I think, I think that's it. Yeah, okay, Uh. 202 00:12:13,559 --> 00:12:16,920 Speaker 1: This is a fat the most abundant fat found in 203 00:12:16,960 --> 00:12:20,200 Speaker 1: the human brain, and it's very important for brain structure. 204 00:12:20,360 --> 00:12:23,480 Speaker 1: And there's a lot of it in fish and shellfish. 205 00:12:23,520 --> 00:12:26,080 Speaker 1: And they've done studies and even though they're not um 206 00:12:26,120 --> 00:12:30,880 Speaker 1: their core correlative and not necessarily UH causal, they did 207 00:12:31,000 --> 00:12:33,560 Speaker 1: find lengths and other studies have confirmed links that in 208 00:12:33,640 --> 00:12:36,840 Speaker 1: places where people eat like Taiwan, where people eat a 209 00:12:36,880 --> 00:12:38,880 Speaker 1: lot more fish and it's a big part of the 210 00:12:38,920 --> 00:12:43,840 Speaker 1: diet than uh, people are happier. Yeah, ten times the 211 00:12:43,880 --> 00:12:47,520 Speaker 1: prevalence of depression in areas where they don't eat a 212 00:12:47,559 --> 00:12:50,640 Speaker 1: lot of fish. And I do say, although this doesn't 213 00:12:50,679 --> 00:12:53,200 Speaker 1: prove causation, it's a pretty good reason to eat more 214 00:12:53,240 --> 00:12:56,440 Speaker 1: fish and other chores containing d H A. And that's true, 215 00:12:56,480 --> 00:12:59,400 Speaker 1: I mean, like, what's the problem eat more fish? Like 216 00:12:59,440 --> 00:13:02,680 Speaker 1: if even if it doesn't say yes we linked d 217 00:13:02,920 --> 00:13:05,839 Speaker 1: H A and lack of it to depression, just eat 218 00:13:05,880 --> 00:13:07,600 Speaker 1: some more fish. If you see a study like that, 219 00:13:07,640 --> 00:13:12,240 Speaker 1: there's nothing wrong with that. Yeah, I feel really defensive 220 00:13:12,280 --> 00:13:15,960 Speaker 1: about about this episode. I feel bad that I didn't 221 00:13:15,960 --> 00:13:17,480 Speaker 1: tell you beforehand. I kind of wanted to see what 222 00:13:17,520 --> 00:13:20,920 Speaker 1: would happen. Well, I I hope you're ashamed of yourself 223 00:13:20,960 --> 00:13:23,360 Speaker 1: for how it turned out. I'm gonna keep doing this 224 00:13:23,400 --> 00:13:24,680 Speaker 1: and just pop them in there. I mean now and 225 00:13:24,679 --> 00:13:27,160 Speaker 1: then CEF record. Now, I'm going to be on the lookout. 226 00:13:27,520 --> 00:13:30,839 Speaker 1: I'm gonna be super paranoid. You got anything else, I 227 00:13:30,920 --> 00:13:34,200 Speaker 1: got nothing else? All right, Well, since Chuck's got nothing else, 228 00:13:34,200 --> 00:13:41,000 Speaker 1: so I got nothing else. The humiliation ends here. Stuff 229 00:13:41,000 --> 00:13:43,000 Speaker 1: You Should Know is a production of I Heart Radio. 230 00:13:43,520 --> 00:13:46,000 Speaker 1: For more podcasts my heart Radio, visit the I heart 231 00:13:46,080 --> 00:13:49,000 Speaker 1: Radio app, Apple Podcasts, or wherever you listen to your 232 00:13:49,000 --> 00:13:49,760 Speaker 1: favorite shows.