1 00:00:02,720 --> 00:00:03,520 Speaker 1: Hello, guys. 2 00:00:03,760 --> 00:00:05,920 Speaker 2: I'm Lauren Girl and I'm chef Andrew Girl. 3 00:00:06,160 --> 00:00:08,440 Speaker 1: So whether it's a shared meal or shared moment, every 4 00:00:08,440 --> 00:00:10,280 Speaker 1: story adds flavor to the table. 5 00:00:10,680 --> 00:00:12,400 Speaker 2: We got some good topics today. We're going to be 6 00:00:12,400 --> 00:00:16,480 Speaker 2: covering caviar, cinnamon rolls, food outbreaks, Thanksgiving talks, and some 7 00:00:16,520 --> 00:00:17,959 Speaker 2: food facts that will blow your biscuits. 8 00:00:18,079 --> 00:00:19,439 Speaker 1: You just like saying blow your biscuit? 9 00:00:19,600 --> 00:00:21,640 Speaker 2: I do like saying that. I'm not getting off that one. 10 00:00:21,760 --> 00:00:23,720 Speaker 2: That's going to be on the tip of my tongue 11 00:00:23,880 --> 00:00:25,239 Speaker 2: probably for the next twenty years. 12 00:00:25,480 --> 00:00:27,760 Speaker 1: Twenty years. Yeah, I have a lot to look forward to. 13 00:00:28,120 --> 00:00:30,520 Speaker 2: Tip. I hate that cliche, tip of your tongue. I 14 00:00:30,520 --> 00:00:31,600 Speaker 2: don't even know why I'm a. 15 00:00:31,560 --> 00:00:33,959 Speaker 1: Tip of my tongue. You know what our son hates, Actually, 16 00:00:34,479 --> 00:00:37,680 Speaker 1: he hates when I say what's his face or what's 17 00:00:37,680 --> 00:00:39,400 Speaker 1: her face? He's like, what do you mean? 18 00:00:40,000 --> 00:00:42,080 Speaker 2: Yeah, I don't like that one either. What is it 19 00:00:42,120 --> 00:00:42,680 Speaker 2: with their face? 20 00:00:42,880 --> 00:00:44,080 Speaker 1: But do you know what I'm talking about? 21 00:00:44,120 --> 00:00:45,080 Speaker 2: Do you have a problem with their faces? 22 00:00:45,120 --> 00:00:47,280 Speaker 1: When you forget somebody's name and you're like, what's his face? 23 00:00:47,560 --> 00:00:48,720 Speaker 2: Why do you have a problem with your face? 24 00:00:48,960 --> 00:00:50,640 Speaker 1: So why say that? Why do people say that? 25 00:00:50,840 --> 00:00:52,440 Speaker 2: Okay, So we're going to be switching things up a 26 00:00:52,479 --> 00:00:54,279 Speaker 2: little bit with the segments today. We're going to dive 27 00:00:54,360 --> 00:00:56,000 Speaker 2: right into some of the fun stuff, get into the 28 00:00:56,000 --> 00:00:57,920 Speaker 2: longer stories, back to the fun stuff, back into the 29 00:00:57,960 --> 00:00:59,600 Speaker 2: longer stories, back to the fun stuff, and then we're 30 00:00:59,600 --> 00:01:02,000 Speaker 2: going to it out. We're gonna cover Lauren and Peanut Butter. 31 00:01:02,480 --> 00:01:05,280 Speaker 1: Oh you get te lickmy Okay. 32 00:01:05,000 --> 00:01:06,680 Speaker 2: This is why you have to make it so weird 33 00:01:06,720 --> 00:01:07,640 Speaker 2: right off the bat. 34 00:01:07,959 --> 00:01:12,759 Speaker 1: That wasn't weird. I was flirting. Okay, So anyway, okay, 35 00:01:12,800 --> 00:01:13,440 Speaker 1: what the fork? 36 00:01:14,200 --> 00:01:16,039 Speaker 2: I'm sorry, I shouldn't say that it was weird. You're right. 37 00:01:16,080 --> 00:01:18,720 Speaker 2: I love peanut Butter and you love me. Yeah, exactly. 38 00:01:18,760 --> 00:01:20,479 Speaker 2: So it's a good It's a combo made in heaven. 39 00:01:21,000 --> 00:01:23,280 Speaker 2: Out here we go, what is the what? WTF? 40 00:01:23,520 --> 00:01:25,840 Speaker 1: All right? So we all love well, you and I 41 00:01:25,880 --> 00:01:29,120 Speaker 1: love caviar and I don't. Do you like cinamon cinnamon rolls? 42 00:01:29,520 --> 00:01:32,080 Speaker 2: I am a junkie for cinemas, but good cinnamon rolls. 43 00:01:32,160 --> 00:01:34,200 Speaker 1: Yes, you have to have the good cinnamon rolls. You 44 00:01:34,240 --> 00:01:39,240 Speaker 1: know they are great. Apart, but this one place in 45 00:01:39,319 --> 00:01:42,920 Speaker 1: Sherman Oaks called All about the Cinnamon Baby, created a 46 00:01:43,040 --> 00:01:45,119 Speaker 1: caviar cinnamon roll. 47 00:01:45,440 --> 00:01:47,160 Speaker 2: I'm trying to figure out, right, So when I hear 48 00:01:47,200 --> 00:01:50,120 Speaker 2: about these crazy food combinations, I just imagine the flavors 49 00:01:50,120 --> 00:01:53,160 Speaker 2: in my mind. Right, So, so caviar is salty, It's 50 00:01:53,200 --> 00:01:56,280 Speaker 2: got a little bit of that seawater like flavor. It 51 00:01:56,360 --> 00:01:59,480 Speaker 2: kind of pops, it has an interesting mouthfeel, but primarily salt. 52 00:01:59,480 --> 00:02:01,800 Speaker 2: That's the first thing you're gonna take, you know. In 53 00:02:01,840 --> 00:02:06,800 Speaker 2: regards to flavor, cinnamon rolls just overwhelmingly sweet, depending on 54 00:02:06,840 --> 00:02:09,520 Speaker 2: whether they're chewy, but just sweet. So I like salty 55 00:02:09,560 --> 00:02:10,040 Speaker 2: and sweet. 56 00:02:10,080 --> 00:02:10,520 Speaker 1: Mm hmmm. 57 00:02:10,680 --> 00:02:13,120 Speaker 2: I don't know if I'd like the ocean like salinity 58 00:02:13,160 --> 00:02:13,440 Speaker 2: in there. 59 00:02:13,560 --> 00:02:16,000 Speaker 1: I was gonna say it because it's very I wouldn't 60 00:02:16,000 --> 00:02:20,760 Speaker 1: say fishy, but it's to pair it with a cinnamon roll, 61 00:02:21,040 --> 00:02:21,560 Speaker 1: I don't know. 62 00:02:21,800 --> 00:02:24,520 Speaker 2: But more importantly, like why this is where and this 63 00:02:24,560 --> 00:02:27,079 Speaker 2: one could dovetail into our eighty six hit segment, Why 64 00:02:27,120 --> 00:02:29,280 Speaker 2: do we need to put all these food combinations together 65 00:02:29,720 --> 00:02:31,200 Speaker 2: and market it. 66 00:02:31,200 --> 00:02:34,480 Speaker 1: It's because it's catchy, because people be because people want 67 00:02:34,480 --> 00:02:36,280 Speaker 1: to go out and try that item. 68 00:02:36,520 --> 00:02:39,360 Speaker 2: I can understand if you try and combine flavors that 69 00:02:39,400 --> 00:02:42,880 Speaker 2: are within the same world, right, So, like two sweet 70 00:02:42,919 --> 00:02:46,520 Speaker 2: flavors even like pretzels and something sweet, right, because that's 71 00:02:46,600 --> 00:02:50,600 Speaker 2: kind of generic, the flower flavor of pretzels and salty 72 00:02:50,639 --> 00:02:52,600 Speaker 2: and then you mix it in with something sweet or 73 00:02:52,680 --> 00:02:55,360 Speaker 2: chocolate like like, to me, that's a little bit outside 74 00:02:55,360 --> 00:02:57,560 Speaker 2: the norm, but it's still close enough so that I 75 00:02:57,639 --> 00:02:59,360 Speaker 2: might go try it if it's put together in some 76 00:02:59,400 --> 00:03:02,000 Speaker 2: sort of a cool vessel or it's marketed properly. But 77 00:03:02,200 --> 00:03:05,880 Speaker 2: other than that, like we talked last week about the 78 00:03:06,240 --> 00:03:09,760 Speaker 2: about Tyra Banks's hot ice cream, I'm still incredibly curious 79 00:03:09,760 --> 00:03:10,200 Speaker 2: about that. 80 00:03:10,560 --> 00:03:12,120 Speaker 1: I know we need to figure out a way. 81 00:03:11,960 --> 00:03:13,320 Speaker 2: To try that, but I think we got to follow 82 00:03:13,400 --> 00:03:13,639 Speaker 2: up on this. 83 00:03:13,760 --> 00:03:15,959 Speaker 1: Oh, how caviar is expensive? 84 00:03:16,280 --> 00:03:17,000 Speaker 2: Right? Yeah? 85 00:03:17,040 --> 00:03:19,600 Speaker 1: Yeah, like how exp I mean, it depends on what 86 00:03:20,200 --> 00:03:23,040 Speaker 1: you know, which one you get, But why would you 87 00:03:23,080 --> 00:03:25,079 Speaker 1: spend a lot on something that might be horrible? 88 00:03:25,800 --> 00:03:28,040 Speaker 2: Well that's the goal, right, Like that's where they're laughing 89 00:03:28,040 --> 00:03:29,920 Speaker 2: at us right now. The food gods are laughing at us. 90 00:03:29,919 --> 00:03:34,160 Speaker 2: They're like, each fools are Okay, got. 91 00:03:34,080 --> 00:03:34,720 Speaker 1: Down there we go. 92 00:03:34,880 --> 00:03:37,560 Speaker 2: I'm moving from Halloween into like night before Christmas. On 93 00:03:37,600 --> 00:03:39,720 Speaker 2: that one, My what the fork that caught my eye? 94 00:03:39,760 --> 00:03:43,000 Speaker 2: Or these McDonald's fish nuggets. Now McDonald's has the fish 95 00:03:43,000 --> 00:03:45,000 Speaker 2: file ice sandwich, which they use a lask and pollock 96 00:03:45,120 --> 00:03:47,680 Speaker 2: for that fine fish sandwich. What have you. I don't 97 00:03:47,720 --> 00:03:49,680 Speaker 2: love it. I don't like cheese on my fish sandwich. 98 00:03:49,840 --> 00:03:52,680 Speaker 2: Or furthermore, I don't necessarily like McDonald's caught fish. But 99 00:03:53,760 --> 00:03:56,640 Speaker 2: they have now moved into the actual fish nuggets where 100 00:03:56,640 --> 00:04:00,600 Speaker 2: they're stamping the fish in the form of a fish goldfish. 101 00:04:00,880 --> 00:04:01,920 Speaker 2: It looks like a big goldfish. 102 00:04:01,960 --> 00:04:03,360 Speaker 1: You're right, like the goldfish cracker. 103 00:04:03,400 --> 00:04:06,760 Speaker 2: Now, my WTF on this is that in order for 104 00:04:06,800 --> 00:04:09,000 Speaker 2: them to do that, they're not like stamping the fish. 105 00:04:09,040 --> 00:04:11,000 Speaker 2: So that means to me that they're grinding the fish 106 00:04:11,080 --> 00:04:12,840 Speaker 2: up and mixing it in with something in order to 107 00:04:12,880 --> 00:04:16,040 Speaker 2: create a paste that perfectly fits that shape, size and mold. 108 00:04:16,680 --> 00:04:18,960 Speaker 2: So that kind of grosses me out. What else are 109 00:04:18,960 --> 00:04:22,120 Speaker 2: they mixing into that paste? Everyone loves these Dino nuggets. 110 00:04:22,400 --> 00:04:24,719 Speaker 2: I imagine that's what's been driving their idea behind it. 111 00:04:24,760 --> 00:04:26,640 Speaker 2: But I just have to keep reminding everyone that the 112 00:04:26,680 --> 00:04:29,919 Speaker 2: Dino nuggets are nothing more than the chicken paste with 113 00:04:30,120 --> 00:04:32,880 Speaker 2: a bunch of artificial flavors and food colorings in there 114 00:04:33,160 --> 00:04:35,880 Speaker 2: that then are put in a form that looks like 115 00:04:36,120 --> 00:04:37,440 Speaker 2: a t rex. 116 00:04:38,160 --> 00:04:41,360 Speaker 1: Well, did you know that back in twenty thirteen, McDonald's 117 00:04:41,400 --> 00:04:44,719 Speaker 1: rolled out fish mcbites across US restaurants for a limited time. 118 00:04:45,000 --> 00:04:46,440 Speaker 2: But were they like chicken nuggets? 119 00:04:47,279 --> 00:04:50,000 Speaker 1: They were bite sized pieces of fried fish, so I 120 00:04:50,040 --> 00:04:51,320 Speaker 1: was assuming they were like a nugget. 121 00:04:51,440 --> 00:04:53,120 Speaker 2: That's the thing. Like, were they the scraps of the 122 00:04:53,160 --> 00:04:55,040 Speaker 2: fish that were just battered and fried or would they 123 00:04:55,080 --> 00:04:57,640 Speaker 2: actually did they grind up the fish, make a paste 124 00:04:57,640 --> 00:05:01,080 Speaker 2: with it, reform it and fry it? Have no idea 125 00:05:01,160 --> 00:05:03,560 Speaker 2: if you see where the technique is what's going to 126 00:05:03,640 --> 00:05:06,920 Speaker 2: ultimately drive the flavor and the ingredients. We got to 127 00:05:06,960 --> 00:05:08,440 Speaker 2: get into this. We're going to touch back on this 128 00:05:08,480 --> 00:05:10,680 Speaker 2: one in a week or two. We're going to move 129 00:05:10,680 --> 00:05:13,840 Speaker 2: into our first big food story this week, which is 130 00:05:14,040 --> 00:05:16,840 Speaker 2: this listeria outbreak. I know that this isn't the most 131 00:05:16,880 --> 00:05:19,880 Speaker 2: fun headline to cover, but I've been seeing this more 132 00:05:19,920 --> 00:05:23,719 Speaker 2: and more in the headlines. Are these crazy listeria outbreaks? Now, 133 00:05:23,760 --> 00:05:26,600 Speaker 2: just so you guys know, listeria is a food born illness. 134 00:05:26,640 --> 00:05:33,200 Speaker 2: It's bacteria that's found in typically cooked foods, mayonnaise, various products. 135 00:05:34,000 --> 00:05:37,560 Speaker 2: It's contaminated food that can also be spread from contaminated surfaces. 136 00:05:37,640 --> 00:05:39,280 Speaker 2: Right ew, I don't want to get it. 137 00:05:39,720 --> 00:05:41,960 Speaker 1: It's it's it's. 138 00:05:41,560 --> 00:05:43,520 Speaker 2: It's a food born illness, right, and it's and it 139 00:05:43,560 --> 00:05:46,080 Speaker 2: makes you sick, and it's killing people now because it can, right, 140 00:05:46,160 --> 00:05:49,560 Speaker 2: like the elderly or the immuno compromised. But this one 141 00:05:49,600 --> 00:05:53,800 Speaker 2: was found in ready to eat pasta that was sold 142 00:05:53,839 --> 00:05:57,720 Speaker 2: primarily at Trader Joe's, but also I think at Walnemart Target. 143 00:05:57,880 --> 00:06:02,400 Speaker 1: Yeah, Kroger, Trader Joe's, Kroger, Kroger sold. Where is that 144 00:06:02,520 --> 00:06:03,760 Speaker 1: like Ralph's. 145 00:06:03,400 --> 00:06:06,880 Speaker 2: Well, where is Kroger's Ralph's. Right. So I saw this 146 00:06:07,040 --> 00:06:10,720 Speaker 2: story and I saw that they put a map up 147 00:06:10,760 --> 00:06:13,039 Speaker 2: and it was all of the different states in which 148 00:06:13,080 --> 00:06:16,479 Speaker 2: people were affected. And in my mind, I'm thinking, wait 149 00:06:16,480 --> 00:06:18,160 Speaker 2: a minute, so you mean to tell me you've got 150 00:06:18,200 --> 00:06:20,680 Speaker 2: like a commercial kitchen in California that's making this pre 151 00:06:20,720 --> 00:06:24,080 Speaker 2: made pasta and then they're packaging it, and this is 152 00:06:24,120 --> 00:06:27,560 Speaker 2: being distributed across like fourteen different states. I didn't know 153 00:06:27,600 --> 00:06:30,120 Speaker 2: that their footprint was that wide. I didn't know that 154 00:06:30,160 --> 00:06:32,599 Speaker 2: a commercial kitchen that cooks these ready to eat foods. 155 00:06:32,800 --> 00:06:35,120 Speaker 2: I always thought, especially in like Trader Joe's, that it 156 00:06:35,200 --> 00:06:38,320 Speaker 2: was a localized commercial kitchen. And it comes like right 157 00:06:38,360 --> 00:06:39,360 Speaker 2: to the store that day. 158 00:06:40,000 --> 00:06:41,920 Speaker 1: You thought that with Trader Joe's. 159 00:06:41,680 --> 00:06:43,800 Speaker 2: I didn't know because I haven't run any of these, 160 00:06:43,880 --> 00:06:49,839 Speaker 2: and I didn't realize how how massive this operation is, 161 00:06:49,839 --> 00:06:53,200 Speaker 2: this commercial food service, ready to eat food operation. And 162 00:06:53,279 --> 00:06:55,880 Speaker 2: I think that what worries me about that is that 163 00:06:56,040 --> 00:06:58,039 Speaker 2: exactly this, and this is the point that I've made 164 00:06:58,120 --> 00:07:00,440 Speaker 2: over and over again, is that I'm you're looking at 165 00:07:00,440 --> 00:07:03,520 Speaker 2: my computer screen. I'm staring at a listeria under a microscope. 166 00:07:03,600 --> 00:07:04,040 Speaker 1: I am too. 167 00:07:04,240 --> 00:07:07,000 Speaker 2: It doesn't really look at it doesn't look that appetizing. 168 00:07:07,320 --> 00:07:11,000 Speaker 2: But is that if you get like if because the 169 00:07:11,160 --> 00:07:15,720 Speaker 2: supply chain is getting so consolidated and so centralized, let's 170 00:07:15,720 --> 00:07:18,560 Speaker 2: say that there is a contaminant in one product, it's 171 00:07:18,560 --> 00:07:21,240 Speaker 2: going to affect hundreds and hundreds of thousands of people. 172 00:07:21,640 --> 00:07:25,000 Speaker 2: So if you know, little Sarah Joe has a commercial 173 00:07:25,080 --> 00:07:27,640 Speaker 2: kitchen and she's providing food ready to eat foods for 174 00:07:27,680 --> 00:07:30,280 Speaker 2: like ten different grocery stores, maybe it affects one or 175 00:07:30,280 --> 00:07:32,120 Speaker 2: two people. But in a case like this, when you 176 00:07:32,160 --> 00:07:34,800 Speaker 2: have such massive scale, it's going to affect and sicken 177 00:07:35,080 --> 00:07:37,480 Speaker 2: hundreds and hundreds of thousands of people. That's also what 178 00:07:37,520 --> 00:07:39,520 Speaker 2: happened with like Chipotle in the past and all these 179 00:07:39,600 --> 00:07:42,960 Speaker 2: other large multi unit chains where they bring in contaminated 180 00:07:43,000 --> 00:07:45,480 Speaker 2: products and then it gets put out to hundreds of 181 00:07:45,480 --> 00:07:47,880 Speaker 2: thousands of people as a result of this. 182 00:07:48,120 --> 00:07:50,520 Speaker 1: Well, you know, it's interesting that you say that it's 183 00:07:50,600 --> 00:07:52,800 Speaker 1: you know, it goes across all these states, and I'm 184 00:07:52,840 --> 00:07:55,080 Speaker 1: not saying that you know, this isn't a lot, but 185 00:07:55,160 --> 00:07:57,440 Speaker 1: like you would think there would be more, you know, 186 00:07:57,720 --> 00:08:00,600 Speaker 1: more instances because right here it says six people have died, 187 00:08:00,600 --> 00:08:03,720 Speaker 1: which is so unfortunate, and twenty five people have been 188 00:08:03,720 --> 00:08:06,000 Speaker 1: hospitalized across eighteen states. 189 00:08:06,200 --> 00:08:08,120 Speaker 2: Well, I'm sure it affected more people. That's like it. 190 00:08:08,040 --> 00:08:10,480 Speaker 1: It probably was just like tummy problems. 191 00:08:10,480 --> 00:08:12,520 Speaker 2: Like you know, I love how you call it tummy problems. 192 00:08:12,600 --> 00:08:14,680 Speaker 2: I don't want to say you mean they're crapping themselves. 193 00:08:15,360 --> 00:08:18,960 Speaker 1: Yes, yeah, probably, but still that's I mean, it's scary, 194 00:08:19,040 --> 00:08:20,600 Speaker 1: like I think we touched on this last time, Like 195 00:08:20,640 --> 00:08:22,200 Speaker 1: it's scary because we just don't know. 196 00:08:22,560 --> 00:08:24,120 Speaker 2: You don't know what gets in your food when you're 197 00:08:24,120 --> 00:08:25,640 Speaker 2: not cooking it for yourself. So I'm going to use 198 00:08:25,640 --> 00:08:28,120 Speaker 2: this as an opportunity to stand on my soapbox and say, like, 199 00:08:28,400 --> 00:08:30,960 Speaker 2: these things are not that difficult to cook. You just 200 00:08:31,000 --> 00:08:33,200 Speaker 2: got to try it. You gotta kind of work your 201 00:08:33,200 --> 00:08:36,400 Speaker 2: way through the kinks. But a pasta salad very easy. 202 00:08:36,600 --> 00:08:39,920 Speaker 2: Boil your pasta, throw in a bunch of vinegar, fresh herbs, 203 00:08:40,000 --> 00:08:44,760 Speaker 2: a little bit of garlic, extravergin, olive oil, salt, fresh crack, pepper, parmesan. 204 00:08:45,040 --> 00:08:48,040 Speaker 2: You're done. That's it. Stick it into the fridge, put 205 00:08:48,040 --> 00:08:49,839 Speaker 2: it in some baggies. You got it for lunch for 206 00:08:49,920 --> 00:08:51,720 Speaker 2: the next two or three days. Don't run the risk 207 00:08:51,760 --> 00:08:54,040 Speaker 2: of eating this junk, because not only does it make 208 00:08:54,080 --> 00:08:57,199 Speaker 2: you sick, it's disgusting. It's never seasoned. The pasta is 209 00:08:57,200 --> 00:09:00,840 Speaker 2: always undercooked, see because I've bought it before. Always undercook 210 00:09:00,920 --> 00:09:03,640 Speaker 2: It always sits in some watery mess because the vegetables 211 00:09:03,640 --> 00:09:06,240 Speaker 2: have like urinated themselves and they're just sitting there in 212 00:09:06,280 --> 00:09:09,120 Speaker 2: that watery mess urinated. Yeah, that's why I say, when 213 00:09:09,120 --> 00:09:12,600 Speaker 2: the vegetables just leach all that moisture, it's disgusting. I mean, 214 00:09:12,640 --> 00:09:13,959 Speaker 2: why even waste your money on that? 215 00:09:14,280 --> 00:09:16,160 Speaker 1: It is It is gross. And I know you touched 216 00:09:16,200 --> 00:09:18,680 Speaker 1: on this, well we touched on it in the car. 217 00:09:18,760 --> 00:09:21,680 Speaker 1: But food recalls are increasing as well. 218 00:09:21,840 --> 00:09:24,720 Speaker 2: Well, that's the point. Food recalls are so most people 219 00:09:24,760 --> 00:09:26,840 Speaker 2: would say like, oh, these are isolated incidents in the 220 00:09:26,840 --> 00:09:29,120 Speaker 2: news is just covering it more because the media wants 221 00:09:29,160 --> 00:09:31,000 Speaker 2: to talk about it and we have social media. Nope, 222 00:09:31,160 --> 00:09:34,840 Speaker 2: guess what, you're wrong? Anybody who thought that you're wrong. 223 00:09:35,720 --> 00:09:40,160 Speaker 2: So the reality is that food recalls are increasing at 224 00:09:40,200 --> 00:09:43,640 Speaker 2: an alarming rate. And I'll tell you exactly why they're increasing. 225 00:09:43,720 --> 00:09:47,680 Speaker 2: They are increasing because prices and costs have gone up 226 00:09:47,800 --> 00:09:51,160 Speaker 2: so much that these food manufacturing companies are cutting corners. 227 00:09:51,280 --> 00:09:54,640 Speaker 2: We're consolidating and centralizing our food production especially and they're 228 00:09:54,640 --> 00:09:57,000 Speaker 2: ready to eat foods area. And that's where you're seeing 229 00:09:57,000 --> 00:09:59,679 Speaker 2: these outbreaks with the listeria because there's so many opportunities 230 00:09:59,679 --> 00:10:03,840 Speaker 2: for cross contamination and in you know, really bringing in 231 00:10:04,040 --> 00:10:06,679 Speaker 2: like a foreign substance or in foreign ingredient into the 232 00:10:06,720 --> 00:10:09,959 Speaker 2: food supply chain. And where I worry, okay, is on 233 00:10:10,040 --> 00:10:13,520 Speaker 2: the vulnerabilities from a national security perspective in our food 234 00:10:13,520 --> 00:10:16,280 Speaker 2: supply chain. And all you've got to do is just 235 00:10:16,920 --> 00:10:20,160 Speaker 2: get like one of these food plants. You can contaminate 236 00:10:20,160 --> 00:10:22,720 Speaker 2: it with a foreign object that perhaps is you know, 237 00:10:22,960 --> 00:10:23,920 Speaker 2: that worse for you. 238 00:10:24,080 --> 00:10:26,480 Speaker 1: So scary and true, I know, I just want okay, 239 00:10:26,520 --> 00:10:29,120 Speaker 1: this is totally off topic, but kind of similar that. 240 00:10:29,200 --> 00:10:31,320 Speaker 1: Remember the guy the Thailand all like killer. 241 00:10:31,600 --> 00:10:33,520 Speaker 2: Yeah, I don't like you watch those weird nos No, 242 00:10:33,800 --> 00:10:34,400 Speaker 2: because it's the. 243 00:10:34,360 --> 00:10:37,800 Speaker 1: Same He got somehow got into Thailand all bottles and 244 00:10:37,840 --> 00:10:40,840 Speaker 1: we're putting I forget, I think it was cyanide, and 245 00:10:40,880 --> 00:10:42,800 Speaker 1: so people are thinking they're taking Thailand all they're taking 246 00:10:42,840 --> 00:10:43,839 Speaker 1: cyanide and they're dying. 247 00:10:44,280 --> 00:10:47,240 Speaker 2: Let's not even put any ideas this is getting Not 248 00:10:47,280 --> 00:10:49,920 Speaker 2: that we like any of our listeners are serial killers, 249 00:10:49,920 --> 00:10:51,840 Speaker 2: but who knows where what kind of an RSS feed 250 00:10:51,880 --> 00:10:52,440 Speaker 2: we end up on. 251 00:10:52,760 --> 00:10:54,320 Speaker 1: Well, this was this was back in the day before 252 00:10:54,320 --> 00:10:57,120 Speaker 1: they had all those extra you know, layers of protection. 253 00:10:57,200 --> 00:10:59,800 Speaker 2: Actual layers of protection. I mean, yeah, I worry about 254 00:10:59,800 --> 00:11:03,040 Speaker 2: that to begin with. But the fact of the matter 255 00:11:03,120 --> 00:11:05,640 Speaker 2: is is that you can actually protect yourself by cooking 256 00:11:05,640 --> 00:11:08,240 Speaker 2: for yourself. That's what this all comes down to. Culinary warfare. 257 00:11:08,280 --> 00:11:11,880 Speaker 2: I'm telling you there's weakness in our supply chain. That's 258 00:11:11,880 --> 00:11:13,920 Speaker 2: why it's important you become a chef. Chefs are going 259 00:11:14,000 --> 00:11:16,559 Speaker 2: to become the new soldiers on the front lines of 260 00:11:16,640 --> 00:11:21,480 Speaker 2: protecting us from this culinary warfare. Dun, Dun, dun. Next episode, 261 00:11:21,679 --> 00:11:24,040 Speaker 2: moving on, Okay, moving on food facts that are going 262 00:11:24,080 --> 00:11:26,600 Speaker 2: to blow your biscuit. All right, I love these ones 263 00:11:26,600 --> 00:11:28,719 Speaker 2: because I always love even to this day, I love 264 00:11:28,800 --> 00:11:30,800 Speaker 2: learning about these new food facts he does. 265 00:11:30,880 --> 00:11:33,080 Speaker 1: He's always, you know, wanting to learn more and more 266 00:11:33,120 --> 00:11:35,880 Speaker 1: and more. That's why he's so smart. Okay, So did 267 00:11:35,920 --> 00:11:39,520 Speaker 1: you know that butter isn't just a fat, It is 268 00:11:39,640 --> 00:11:44,480 Speaker 1: a natural preservative. So before refrigeration, people use butter as 269 00:11:44,480 --> 00:11:47,520 Speaker 1: a celant to keep meat and fish fresh. In parts 270 00:11:47,520 --> 00:11:51,560 Speaker 1: of Europe, butter crocs or potted meats were literally topped 271 00:11:51,600 --> 00:11:54,440 Speaker 1: with a thick butter layer to block air and bacteria. 272 00:11:54,720 --> 00:11:58,080 Speaker 2: Yep. And that's also the genesis of duck home fee. 273 00:11:58,280 --> 00:12:01,000 Speaker 2: That's why duck hoomed fee. What people would have all 274 00:12:01,040 --> 00:12:03,200 Speaker 2: this this duck product. You know, they would harvest their 275 00:12:03,280 --> 00:12:05,720 Speaker 2: ducks and then they would actually cook the ducks in 276 00:12:05,760 --> 00:12:07,760 Speaker 2: their own fat, so that then they cooked them and 277 00:12:07,800 --> 00:12:09,839 Speaker 2: they released and the reason why they cooked them was 278 00:12:09,880 --> 00:12:12,679 Speaker 2: because then less bacteria, less germs, et cetera. And then 279 00:12:12,679 --> 00:12:14,560 Speaker 2: they would be cooked this melting tenderness, and then they 280 00:12:14,559 --> 00:12:16,400 Speaker 2: would cool them in the fat, and then they would 281 00:12:16,400 --> 00:12:18,600 Speaker 2: package them in containers so the fat wouldn't let the 282 00:12:18,640 --> 00:12:21,640 Speaker 2: oxygen in. But that was if you had obviously a 283 00:12:21,720 --> 00:12:23,280 Speaker 2: duck farm, but if you don't have a duck farm 284 00:12:23,280 --> 00:12:25,400 Speaker 2: in certain parts of Europe, you would use butter for 285 00:12:25,440 --> 00:12:27,600 Speaker 2: the same purpose, so you would seal all of your 286 00:12:27,600 --> 00:12:31,400 Speaker 2: proteins in with this butter. And that has given birth 287 00:12:31,440 --> 00:12:35,080 Speaker 2: to a much more modern bistro dish called riettes, which 288 00:12:35,240 --> 00:12:37,160 Speaker 2: come in that little mason jar. We've had it right. 289 00:12:37,160 --> 00:12:39,480 Speaker 2: People serve it with crustines or warm bread, and then 290 00:12:39,520 --> 00:12:42,680 Speaker 2: it's typically like whipped pork meat or duck meat, or 291 00:12:42,720 --> 00:12:45,520 Speaker 2: even like quail or squab, and it's worked into a 292 00:12:45,559 --> 00:12:47,600 Speaker 2: mouse and then it's covered with a thin layer of fat, 293 00:12:47,679 --> 00:12:49,360 Speaker 2: and then you take the crusty bread and you just 294 00:12:49,400 --> 00:12:51,440 Speaker 2: spread it on the bread. It's absolutely delicious. 295 00:12:51,440 --> 00:12:54,480 Speaker 1: It's almost a pat I'm hungry, you know what. We 296 00:12:54,520 --> 00:12:55,920 Speaker 1: need to go out to eat. You and I don't 297 00:12:55,920 --> 00:12:58,040 Speaker 1: go on dates. We don't go We used to go 298 00:12:58,160 --> 00:13:00,280 Speaker 1: on so many dates and have like the best time 299 00:13:00,320 --> 00:13:01,960 Speaker 1: and just eats of good food. 300 00:13:02,080 --> 00:13:04,040 Speaker 2: That's not true. It's not that we don't go on dates. 301 00:13:04,080 --> 00:13:06,160 Speaker 2: We still go on dates and we want things together. 302 00:13:06,360 --> 00:13:08,199 Speaker 2: We don't go on like cliched dates. 303 00:13:08,600 --> 00:13:09,640 Speaker 1: I want a cliche date. 304 00:13:09,760 --> 00:13:11,800 Speaker 2: She does want a cliche date, but like our dates 305 00:13:11,840 --> 00:13:13,920 Speaker 2: will be well, we'll be at home with the kids, 306 00:13:13,920 --> 00:13:15,920 Speaker 2: and then Jaden will be there. She's our fifteen year old, 307 00:13:15,960 --> 00:13:17,200 Speaker 2: and we're like, hey, can you watch the kid for 308 00:13:17,240 --> 00:13:19,559 Speaker 2: ten minutes? And then we'll go to like Albertson's together, 309 00:13:19,600 --> 00:13:21,640 Speaker 2: and we'll go food shopping and hold hands in theat 310 00:13:21,679 --> 00:13:22,280 Speaker 2: Cracker eye. 311 00:13:22,360 --> 00:13:24,280 Speaker 1: I love that you just called it food chopping. 312 00:13:24,480 --> 00:13:26,560 Speaker 2: We'll go food shopping. What do you call it? We 313 00:13:26,600 --> 00:13:27,360 Speaker 2: go to the food. 314 00:13:27,120 --> 00:13:28,920 Speaker 1: Store, we go food for Joe free store. 315 00:13:29,160 --> 00:13:30,960 Speaker 2: It's not a grocery store, it's a food store. Go 316 00:13:31,000 --> 00:13:33,080 Speaker 2: to the food store. We go food shopping. We hold 317 00:13:33,120 --> 00:13:35,160 Speaker 2: hands in the cracker aisle, and every now and then 318 00:13:35,200 --> 00:13:38,520 Speaker 2: I land a kiss over by the pre made guacamole. 319 00:13:39,559 --> 00:13:44,560 Speaker 1: Okay. Another interesting fact that'll blow your biscuit. Egg color 320 00:13:44,679 --> 00:13:47,199 Speaker 1: says more about the chicken than the quality. 321 00:13:47,280 --> 00:13:49,320 Speaker 2: They have no nutritional difference. 322 00:13:49,240 --> 00:13:53,319 Speaker 1: So the color simply reflects the hens breed. Brown eggs 323 00:13:53,360 --> 00:13:56,520 Speaker 1: cost more, mostly because those hens eat more and lay 324 00:13:56,559 --> 00:13:57,360 Speaker 1: fewer eggs. 325 00:13:57,920 --> 00:14:00,600 Speaker 2: So often people are like, I only buy the brown 326 00:14:00,600 --> 00:14:02,960 Speaker 2: eggs because they're better. But guess what, people, brown eggs, 327 00:14:03,000 --> 00:14:06,679 Speaker 2: white eggs no difference in quality. It's strictly the heritage 328 00:14:06,720 --> 00:14:07,679 Speaker 2: of the bird. 329 00:14:07,920 --> 00:14:10,400 Speaker 1: The heritage of the bird, yes, which is I actually 330 00:14:10,480 --> 00:14:13,679 Speaker 1: do enjoy buying like the blue color eggs though they're fun. 331 00:14:13,640 --> 00:14:15,480 Speaker 2: Well the blue eggs, right, but also keep in mind 332 00:14:15,520 --> 00:14:17,640 Speaker 2: their diet, right, So the differences in the diet. So 333 00:14:17,679 --> 00:14:20,000 Speaker 2: eggs that are going to be naturally foraging and eating 334 00:14:20,040 --> 00:14:22,160 Speaker 2: bugs and like eating what they would naturally eat by 335 00:14:22,200 --> 00:14:24,800 Speaker 2: just walking around the pasture having a cigarette talking to 336 00:14:24,840 --> 00:14:27,320 Speaker 2: their chicken friends, those are going to have a much deeper, 337 00:14:27,400 --> 00:14:31,840 Speaker 2: darker yoke than a lot of the more commercialized kind 338 00:14:31,880 --> 00:14:34,600 Speaker 2: of refined birds. And by refined, I mean they're refined 339 00:14:34,640 --> 00:14:37,960 Speaker 2: to a small area and force fed grains and synthetic feeds. 340 00:14:39,400 --> 00:14:41,160 Speaker 2: So that's going to be the difference away. 341 00:14:41,200 --> 00:14:43,200 Speaker 1: And it's fun, You're right, because people think like, oh, 342 00:14:43,240 --> 00:14:45,920 Speaker 1: they're buying a brown egg, there's more nutritional value. But 343 00:14:45,960 --> 00:14:47,120 Speaker 1: really it's there's no. 344 00:14:47,040 --> 00:14:50,440 Speaker 2: Difference apparently, I mean so says the blow in your 345 00:14:50,440 --> 00:14:53,480 Speaker 2: Biscuit segment. We'll do more, we'll dive into that in 346 00:14:53,480 --> 00:14:55,360 Speaker 2: more detail. But we got something else we got to 347 00:14:55,400 --> 00:14:57,680 Speaker 2: talk about because New York is turned upside down and 348 00:14:57,760 --> 00:14:59,840 Speaker 2: inside out because man Dommy is about to show you 349 00:14:59,840 --> 00:15:00,680 Speaker 2: what it's all about. 350 00:15:01,360 --> 00:15:04,080 Speaker 1: Oh well, we touched on this. I forget what episode 351 00:15:04,080 --> 00:15:05,800 Speaker 1: of a couple episodes ago, Like, what is he going 352 00:15:05,840 --> 00:15:08,280 Speaker 1: to do if he wins? Is he going to you know, 353 00:15:08,320 --> 00:15:13,680 Speaker 1: start these you know grocery public grocery stores and all 354 00:15:13,720 --> 00:15:15,680 Speaker 1: this stuff. What do you what do you think are now? 355 00:15:16,040 --> 00:15:17,600 Speaker 2: Give me my one or two minute take on this. 356 00:15:17,600 --> 00:15:20,000 Speaker 2: Hopefully I'll keep it to one minute. Everyone's freaking out. 357 00:15:20,320 --> 00:15:23,960 Speaker 2: I'm not as you know, sky is falling, like as 358 00:15:24,000 --> 00:15:26,120 Speaker 2: everybody else. Here's what I think is going to happen. 359 00:15:26,200 --> 00:15:28,000 Speaker 2: One of two things is going to happen. Right. So, 360 00:15:28,040 --> 00:15:32,160 Speaker 2: he's got this very aggressive socialist leaning platform, not saying 361 00:15:32,160 --> 00:15:35,520 Speaker 2: that as a pejorative, although we'll get into that. However, 362 00:15:35,560 --> 00:15:39,480 Speaker 2: that's just the reality. And he's made various promises to everybody, 363 00:15:39,640 --> 00:15:42,800 Speaker 2: you know, rent, freeze, free this, free that going to 364 00:15:42,840 --> 00:15:45,000 Speaker 2: give you all the money. It's the kid in elementary 365 00:15:45,000 --> 00:15:46,920 Speaker 2: school that runs for a student council and he's like 366 00:15:46,920 --> 00:15:49,520 Speaker 2: free pizza for everybody every day. And they're like, yeah, 367 00:15:49,720 --> 00:15:53,080 Speaker 2: we're voting for him right smart because we're having issues 368 00:15:53,120 --> 00:15:55,240 Speaker 2: with the economy right now. So when the economy isn't 369 00:15:55,280 --> 00:15:57,240 Speaker 2: doing so great, the candidate that's telling you they're going 370 00:15:57,280 --> 00:15:59,520 Speaker 2: to give you, the free X, Y, and Z is 371 00:15:59,560 --> 00:16:02,960 Speaker 2: going to to win in many cases, so everyone's trying 372 00:16:02,960 --> 00:16:06,280 Speaker 2: this Mandami brand on for size. I think that he 373 00:16:06,400 --> 00:16:09,840 Speaker 2: will put people within his cabinet in the city that 374 00:16:09,920 --> 00:16:14,920 Speaker 2: will push for a lot of those regulations, increasing taxes significantly, 375 00:16:15,160 --> 00:16:17,120 Speaker 2: But so be it. This is what the people of 376 00:16:17,200 --> 00:16:19,920 Speaker 2: New York City voted for. And I still think that 377 00:16:19,960 --> 00:16:23,680 Speaker 2: there is a very very controlled and balanced bureaucracy around 378 00:16:23,680 --> 00:16:26,440 Speaker 2: the politics in New York City such that he's not 379 00:16:26,480 --> 00:16:29,360 Speaker 2: going to be able to move at breakneck speed. So 380 00:16:29,440 --> 00:16:31,280 Speaker 2: I think the pendulum is going to swing, you know, 381 00:16:31,640 --> 00:16:34,400 Speaker 2: aggressively to the left. Is he going to terrorize the 382 00:16:34,560 --> 00:16:38,680 Speaker 2: entire city with flipping businesses upside down and instilling socialism 383 00:16:38,760 --> 00:16:42,520 Speaker 2: and ultimately communism in New York City? Highly unlikely because 384 00:16:42,560 --> 00:16:44,560 Speaker 2: I just don't even think there's a mechanism by which 385 00:16:44,600 --> 00:16:46,840 Speaker 2: that can happen. But I definitely think that he's going 386 00:16:46,880 --> 00:16:49,080 Speaker 2: to be a attest a lot of these more aggressive 387 00:16:49,120 --> 00:16:51,960 Speaker 2: socialist like policies, and we're going to see how those 388 00:16:51,960 --> 00:16:55,000 Speaker 2: play out in New York. But eighty percent of women 389 00:16:55,240 --> 00:16:57,680 Speaker 2: between the ages of fifty and eighty voted for it. 390 00:16:57,880 --> 00:17:00,240 Speaker 1: No, it was younger women younger women voted that it 391 00:17:00,320 --> 00:17:02,520 Speaker 1: was younger women that had the most votes for him. 392 00:17:02,520 --> 00:17:05,439 Speaker 1: But yeah, he So one of his campaign promises was 393 00:17:05,480 --> 00:17:08,000 Speaker 1: to raise the minimum wage to thirty dollars an hour, 394 00:17:09,119 --> 00:17:11,920 Speaker 1: but that by by twenty thirty, So give him a 395 00:17:11,920 --> 00:17:13,280 Speaker 1: couple of years. See if he gets that. 396 00:17:13,280 --> 00:17:15,640 Speaker 2: That actually is pretty aggressive. The question is is that 397 00:17:15,840 --> 00:17:18,879 Speaker 2: then everyone's going to end up working in restaurants. See, 398 00:17:19,280 --> 00:17:23,119 Speaker 2: when you raise the minimum wage, you're artificially increasing prices, 399 00:17:24,040 --> 00:17:27,960 Speaker 2: because when when businesses have to pay that much more, 400 00:17:28,080 --> 00:17:29,679 Speaker 2: the prices go up, and then the people that are 401 00:17:29,720 --> 00:17:31,639 Speaker 2: living in that local community just end up having to 402 00:17:31,640 --> 00:17:33,080 Speaker 2: pay more for the prices. And then you have to 403 00:17:33,119 --> 00:17:35,320 Speaker 2: raise the minimum wage even more because prices are up, 404 00:17:35,359 --> 00:17:38,320 Speaker 2: and it just becomes this huge upward spiral that can 405 00:17:38,440 --> 00:17:43,320 Speaker 2: send an economy into pieces. Now it's a matter of how, 406 00:17:43,880 --> 00:17:48,280 Speaker 2: you know, he implements that which industry is right. So take, 407 00:17:48,320 --> 00:17:51,320 Speaker 2: for example, the restaurant industry. They're making right now the 408 00:17:51,480 --> 00:17:53,320 Speaker 2: tipped wage, which can be I think is like four 409 00:17:53,520 --> 00:17:55,639 Speaker 2: fifty an hour, but then they get like eighty dollars 410 00:17:55,640 --> 00:17:58,199 Speaker 2: an hour more on tips and tips on top of that, 411 00:17:58,240 --> 00:18:00,159 Speaker 2: so they're making like eighty four dollars an hour. If 412 00:18:00,240 --> 00:18:01,960 Speaker 2: you say, well, now you have to pay those tip 413 00:18:02,040 --> 00:18:04,520 Speaker 2: workers thirty dollars an hour, every single restaurant in New 414 00:18:04,560 --> 00:18:05,600 Speaker 2: York City will shut down. 415 00:18:06,040 --> 00:18:08,960 Speaker 1: Yeah, that's It's I feel like people don't understand that, 416 00:18:09,000 --> 00:18:11,320 Speaker 1: Like you can't just like mandate these you know, high 417 00:18:11,400 --> 00:18:14,760 Speaker 1: increase minimum wage spikes and expect these businesses to stay. 418 00:18:15,080 --> 00:18:16,800 Speaker 2: Yeah. And I mean, and that's in theory, right, that's 419 00:18:16,800 --> 00:18:19,119 Speaker 2: all theoretical. But the people who voted for this, this 420 00:18:19,160 --> 00:18:21,240 Speaker 2: is what they want. So I don't you know, it's 421 00:18:21,280 --> 00:18:23,720 Speaker 2: kind of like all of these people in other states 422 00:18:23,760 --> 00:18:26,280 Speaker 2: are complaining about MOMDAMI because they're saying that maybe is 423 00:18:26,280 --> 00:18:30,960 Speaker 2: a red herring for other areas. Perhaps, right, I mean, 424 00:18:31,000 --> 00:18:34,760 Speaker 2: obviously what happens in New York spreads to other very 425 00:18:34,880 --> 00:18:39,200 Speaker 2: very you know, cosmopolitan areas. But let's see what happens, right, 426 00:18:39,400 --> 00:18:42,400 Speaker 2: I mean that only time will tell. Yeah, time will tell. 427 00:18:42,520 --> 00:18:44,600 Speaker 2: The people voted for this, this is what they wanted. 428 00:18:44,840 --> 00:18:46,600 Speaker 2: Let them live in that world. Well, I mean, I'm 429 00:18:46,600 --> 00:18:49,160 Speaker 2: not living in New York City, so for other reasons, 430 00:18:49,240 --> 00:18:52,440 Speaker 2: because of years of Democrat control, which have forced prices 431 00:18:52,520 --> 00:18:53,360 Speaker 2: up all over the place. 432 00:18:53,440 --> 00:18:55,560 Speaker 1: Right, And you and I used to love going to 433 00:18:55,600 --> 00:18:57,880 Speaker 1: New York, like we would spend some of our anniversaries there. 434 00:18:57,920 --> 00:18:59,600 Speaker 1: Now it's like a place I don't really want to 435 00:18:59,640 --> 00:19:00,320 Speaker 1: hang out. 436 00:19:00,440 --> 00:19:02,320 Speaker 2: Yeah, And some of that might also just be a 437 00:19:02,359 --> 00:19:04,640 Speaker 2: difference in a change in our lives, right, Like we 438 00:19:04,720 --> 00:19:07,119 Speaker 2: when you and I were going were we didn't have kids. 439 00:19:07,119 --> 00:19:08,800 Speaker 2: It was just you and I running around the city 440 00:19:09,760 --> 00:19:13,040 Speaker 2: roofing each other. But now we've got that. Now we've 441 00:19:13,040 --> 00:19:14,800 Speaker 2: got four kids. Like, so we're going to go to 442 00:19:14,800 --> 00:19:17,080 Speaker 2: New York for different reasons, and it's like now we 443 00:19:17,160 --> 00:19:21,040 Speaker 2: focus on things like costs and crime and you know, 444 00:19:21,119 --> 00:19:24,719 Speaker 2: safety and being in different areas that are more family friendly, 445 00:19:25,119 --> 00:19:27,720 Speaker 2: what type of strollers can fit on the sidewalk exactly? 446 00:19:29,280 --> 00:19:32,440 Speaker 1: We were past our stroller years, though, Well. 447 00:19:32,320 --> 00:19:34,359 Speaker 2: We're going on dates to the grocery store, so I 448 00:19:34,359 --> 00:19:35,000 Speaker 2: think we're past. 449 00:19:35,280 --> 00:19:36,400 Speaker 1: We're past a lot of things. 450 00:19:36,400 --> 00:19:38,199 Speaker 2: Well you're saying we're past stroller years. But just the 451 00:19:38,240 --> 00:19:39,960 Speaker 2: other day you told me you want another baby. 452 00:19:39,720 --> 00:19:43,159 Speaker 1: So I did I go through these little phases and 453 00:19:43,200 --> 00:19:45,480 Speaker 1: then like the kids start fighting and I'm like, never mind. 454 00:19:45,960 --> 00:19:49,600 Speaker 2: That's what that's what does it for you? Oh that's interesting. Yeah, 455 00:19:49,640 --> 00:19:51,120 Speaker 2: that's good to know because I'm the one who has 456 00:19:51,160 --> 00:19:52,920 Speaker 2: to deal with all of the shrapnel from the kids 457 00:19:52,960 --> 00:19:55,120 Speaker 2: fighting because I'm usually the one that's fighting with them 458 00:19:55,560 --> 00:19:57,280 Speaker 2: when when we're all at home and there's six of 459 00:19:57,359 --> 00:20:01,800 Speaker 2: us there, you know, nice weekday. E mean, people are laughing, crying, 460 00:20:02,320 --> 00:20:05,200 Speaker 2: eating dinner, having fun, you know, regular day in the household. 461 00:20:05,400 --> 00:20:08,840 Speaker 2: It is Lauren and five children it is. 462 00:20:08,880 --> 00:20:11,639 Speaker 1: And I'm like, Andrew, you need to calm down, you 463 00:20:11,680 --> 00:20:13,399 Speaker 1: know what I feel like sometimes And I hate this 464 00:20:13,720 --> 00:20:16,200 Speaker 1: saying this, but you know in the movie Missus Doubtfire, 465 00:20:16,440 --> 00:20:18,520 Speaker 1: how she's like the mom and she's frustrated and he's 466 00:20:18,560 --> 00:20:21,040 Speaker 1: like having the big party with like the farm animals 467 00:20:21,080 --> 00:20:23,760 Speaker 1: and the you know, and she's like the responsible one. 468 00:20:23,800 --> 00:20:24,760 Speaker 1: Sometimes I feel like I'm that. 469 00:20:25,480 --> 00:20:27,280 Speaker 2: Wait, am I the farm animal? Or am I missed 470 00:20:27,280 --> 00:20:27,680 Speaker 2: out fire? 471 00:20:28,880 --> 00:20:32,479 Speaker 1: This is before he was missed out fire. No, but 472 00:20:32,600 --> 00:20:34,680 Speaker 1: it's not too bad. I'm glad Andrew has a little 473 00:20:34,760 --> 00:20:37,439 Speaker 1: childlike I don't know, Well. 474 00:20:37,440 --> 00:20:41,000 Speaker 2: You're trying to just be like podcast esque, a diplomatic 475 00:20:41,040 --> 00:20:44,439 Speaker 2: when we're really like, you're a fool. Let's sharpen your skills. 476 00:20:45,000 --> 00:20:48,720 Speaker 1: Sharpen your skills, all right, so save your parmesan rhynds. 477 00:20:48,960 --> 00:20:50,720 Speaker 2: Yeah, somebody is the other day, so we eat a 478 00:20:50,720 --> 00:20:53,159 Speaker 2: lot of parmesan. Parmesan is not just good for you 479 00:20:53,200 --> 00:20:56,280 Speaker 2: because it's got the c Q fifteen in there, which 480 00:20:56,280 --> 00:20:58,719 Speaker 2: we should talk about. It's got that incredibly high quality protein. 481 00:20:58,880 --> 00:21:01,359 Speaker 2: But parmesan is also a natural way in which fatty 482 00:21:01,400 --> 00:21:04,920 Speaker 2: acid Umammi gets fatty acid. Would she call me? It's 483 00:21:04,960 --> 00:21:07,000 Speaker 2: also a natural way in which you can get umami 484 00:21:07,040 --> 00:21:10,840 Speaker 2: into your food without having to add like any artificial preservatives, etcetera. 485 00:21:10,920 --> 00:21:13,520 Speaker 2: So it makes your food taste better, more unctuous. It's 486 00:21:13,600 --> 00:21:16,400 Speaker 2: just one of those ingredients that you add and it 487 00:21:16,400 --> 00:21:18,960 Speaker 2: takes things to a whole other level. I love parmesan. 488 00:21:19,359 --> 00:21:21,520 Speaker 2: It's all over the place. But you get stuck with 489 00:21:21,520 --> 00:21:25,040 Speaker 2: those thick parmesan rines and most people throw those away. 490 00:21:25,400 --> 00:21:28,280 Speaker 2: Never throw those away. Those are great in soups, yes, 491 00:21:28,280 --> 00:21:30,600 Speaker 2: and in broths. Even if you don't feel like chopping 492 00:21:30,640 --> 00:21:32,880 Speaker 2: up vegetables and making a flavored broth. If you take 493 00:21:32,920 --> 00:21:36,040 Speaker 2: your parmesan rins and you just boil them, that parmesan 494 00:21:36,200 --> 00:21:40,560 Speaker 2: water or broth that you create is unbelievable. Use that 495 00:21:40,840 --> 00:21:43,719 Speaker 2: in sauces, use that in pasta dishes, Use that as 496 00:21:43,760 --> 00:21:47,000 Speaker 2: you're making chicken dishes. What have you seafood? Even it 497 00:21:47,040 --> 00:21:49,359 Speaker 2: is over the top, this is going to change your 498 00:21:49,359 --> 00:21:53,160 Speaker 2: cooking game. Parmesan broth is bringing it back. 499 00:21:53,480 --> 00:21:55,919 Speaker 1: Yeah, especially in like pasta sauces. Right, you can just 500 00:21:55,920 --> 00:21:59,720 Speaker 1: add it to your tomato sauce and just add some richness. 501 00:22:00,320 --> 00:22:02,800 Speaker 2: Yes you have, or even if you're making a tomato sauce, 502 00:22:02,840 --> 00:22:04,520 Speaker 2: you can throw in a little bit of water and 503 00:22:04,560 --> 00:22:06,639 Speaker 2: throw in a parmesan rinding and just kind of simmer 504 00:22:06,680 --> 00:22:08,760 Speaker 2: that into the tomato sauce and it's going to add 505 00:22:08,840 --> 00:22:12,560 Speaker 2: richness and much fuller body. Kind of like me when 506 00:22:12,560 --> 00:22:13,680 Speaker 2: I get back from the gym. 507 00:22:14,440 --> 00:22:15,480 Speaker 1: I love your full body. 508 00:22:16,560 --> 00:22:20,640 Speaker 2: I love your body. Larry Uh. Speaking of Larry, let's 509 00:22:20,680 --> 00:22:22,399 Speaker 2: eighty six it. What are some food trends that need 510 00:22:22,480 --> 00:22:23,640 Speaker 2: to end? What do you got? 511 00:22:23,840 --> 00:22:27,679 Speaker 1: I don't have a food trend today, but social media 512 00:22:28,000 --> 00:22:31,280 Speaker 1: being your only source for politics, And I'm not talking 513 00:22:31,280 --> 00:22:33,080 Speaker 1: about X. I feel like X gives a lot of 514 00:22:33,119 --> 00:22:37,359 Speaker 1: good information. I'm talking about like TikTok, Instagram reels. You 515 00:22:37,400 --> 00:22:40,040 Speaker 1: get these young kids who you know, they believe in 516 00:22:40,080 --> 00:22:42,320 Speaker 1: these trends. They don't do their own research. They you know, 517 00:22:42,359 --> 00:22:44,920 Speaker 1: they go with what's hot, right, And I feel like 518 00:22:45,000 --> 00:22:48,119 Speaker 1: that's like the case with Mom Donnie. They voted based 519 00:22:48,160 --> 00:22:50,000 Speaker 1: on his coolness. 520 00:22:49,359 --> 00:22:52,159 Speaker 2: Factor, But what's cool about him? I don't know. 521 00:22:52,240 --> 00:22:54,880 Speaker 1: He's young. You should see these things. People have made 522 00:22:54,880 --> 00:22:57,399 Speaker 1: a song about him. They're calling him our mayor and 523 00:22:57,440 --> 00:22:59,040 Speaker 1: they don't even live in New York City. They're like 524 00:22:59,080 --> 00:23:01,520 Speaker 1: our mayor one. And I'm from Washington State. 525 00:23:01,840 --> 00:23:04,000 Speaker 2: But these are the same people that want things for free. 526 00:23:04,040 --> 00:23:05,640 Speaker 2: So he's promising, That's what I'm saying. 527 00:23:05,680 --> 00:23:08,320 Speaker 1: They yeah, he put the word free out there, and 528 00:23:08,320 --> 00:23:09,960 Speaker 1: they're like, yes, but there's. 529 00:23:09,800 --> 00:23:13,000 Speaker 2: Really you know, it's funny like Obama had that cool factor, 530 00:23:13,119 --> 00:23:15,280 Speaker 2: but Mom Dommie like, what's cool about him? Because he 531 00:23:15,280 --> 00:23:17,520 Speaker 2: has a mustache, because he's young. 532 00:23:17,560 --> 00:23:20,679 Speaker 1: I actually saw some girl the other day. Somebody asked, well, 533 00:23:20,680 --> 00:23:22,840 Speaker 1: why did you vote for him? Like you know, he's 534 00:23:22,840 --> 00:23:25,119 Speaker 1: all about like socialism, and she goes, well, you know, 535 00:23:25,160 --> 00:23:27,479 Speaker 1: it's something we haven't tried before, and I think we 536 00:23:27,560 --> 00:23:30,159 Speaker 1: really should, you know, because what we're doing now just 537 00:23:30,200 --> 00:23:32,879 Speaker 1: doesn't seem to work. I'm like, oh my gosh. 538 00:23:32,560 --> 00:23:36,840 Speaker 2: Oh boy. You know that he went to Boden I didn't, 539 00:23:36,880 --> 00:23:38,959 Speaker 2: which is a small over arts college up in Maine, 540 00:23:39,320 --> 00:23:42,199 Speaker 2: which was only like twenty it's in Brunswick, Maine. It was. 541 00:23:42,760 --> 00:23:45,840 Speaker 2: It was I went to Bates, which was its competitor, 542 00:23:45,960 --> 00:23:48,480 Speaker 2: small overal Arts college in Lewiston, Maine, which was really 543 00:23:48,520 --> 00:23:51,159 Speaker 2: only thirty minutes away. Marshall went to Boden. A lot 544 00:23:51,200 --> 00:23:53,440 Speaker 2: of people that I know went to Boden, really, and 545 00:23:53,680 --> 00:23:57,800 Speaker 2: Boden is I mean, now, Boden's like a fifty thousand 546 00:23:57,840 --> 00:24:00,000 Speaker 2: dollars a year college, sixty thousand dollars a year college. 547 00:24:00,320 --> 00:24:04,680 Speaker 2: He certainly is a very wealthy person, which I find 548 00:24:04,720 --> 00:24:07,920 Speaker 2: absolutely hilarious that he's pushing It's always the case, right, 549 00:24:07,960 --> 00:24:12,560 Speaker 2: like it's the elite who pushed the socialism the irony 550 00:24:12,680 --> 00:24:14,800 Speaker 2: of his campaign now, and I know we got away 551 00:24:14,800 --> 00:24:17,600 Speaker 2: from eighty six. It is that he did this huge 552 00:24:17,600 --> 00:24:21,119 Speaker 2: message after he won and he was like, basically, we 553 00:24:21,160 --> 00:24:23,320 Speaker 2: need all of these people in my office, and I 554 00:24:23,359 --> 00:24:25,640 Speaker 2: don't come into office until January first, so you all 555 00:24:25,680 --> 00:24:28,240 Speaker 2: need to send me your money. Making for money. He's like, 556 00:24:28,280 --> 00:24:30,280 Speaker 2: I need money so I can put these people in place. 557 00:24:30,560 --> 00:24:32,399 Speaker 2: I thought he was giving money away. Wait, why is 558 00:24:32,440 --> 00:24:33,399 Speaker 2: he asking for money? 559 00:24:33,520 --> 00:24:38,040 Speaker 1: Well, he raised sixteen point eight million dollars. 560 00:24:38,359 --> 00:24:40,639 Speaker 2: I don't know where that stands in the typical history 561 00:24:40,680 --> 00:24:43,720 Speaker 2: of New York City A lot. I mean it sounds 562 00:24:43,720 --> 00:24:45,959 Speaker 2: like a lot to me. I mean local races here 563 00:24:45,960 --> 00:24:48,760 Speaker 2: are a couple hundred thousand dollars and you're splashing it 564 00:24:48,760 --> 00:24:51,440 Speaker 2: out of the water. Yeah, you know what, my eighty six? 565 00:24:51,480 --> 00:24:51,760 Speaker 2: It is? 566 00:24:51,920 --> 00:24:52,640 Speaker 1: What is your age? 567 00:24:52,680 --> 00:24:56,600 Speaker 2: Speaking of mom Domini? What French cooking words? I'm just 568 00:24:56,760 --> 00:24:58,680 Speaker 2: somebody place I have to do with him. It has 569 00:24:58,720 --> 00:25:00,560 Speaker 2: nothing to do with him. But I'm trying to really 570 00:25:00,600 --> 00:25:03,560 Speaker 2: stitched this together, trying to emulsify our topics here. 571 00:25:03,640 --> 00:25:04,200 Speaker 1: Oh I like that. 572 00:25:04,359 --> 00:25:06,359 Speaker 2: Somebody mentioned to me the other day, I'm sick of 573 00:25:06,400 --> 00:25:09,040 Speaker 2: all these French cooking terms, and I was thinking about it. 574 00:25:09,200 --> 00:25:12,520 Speaker 1: You use a lot of them, Bi blanc blanc, what 575 00:25:12,560 --> 00:25:15,000 Speaker 1: else do you say? What else do you say? 576 00:25:16,280 --> 00:25:18,960 Speaker 2: No? Wait, that's a skunk. I but then I thought 577 00:25:18,960 --> 00:25:21,159 Speaker 2: about it, because that's all we learn, right like in 578 00:25:21,240 --> 00:25:24,920 Speaker 2: American cooking. We've almost merged French cooking terms with American 579 00:25:24,960 --> 00:25:29,840 Speaker 2: cooking terms. Saute, missan plas, monte a burr. See here 580 00:25:29,920 --> 00:25:36,520 Speaker 2: we go rue mirpois. So I agree with that. I 581 00:25:36,560 --> 00:25:39,440 Speaker 2: think that we need to take back cooking terms, take 582 00:25:39,480 --> 00:25:40,439 Speaker 2: it back from the French. 583 00:25:41,359 --> 00:25:43,960 Speaker 1: But what But I mean some of them sound cool, though. 584 00:25:44,040 --> 00:25:46,120 Speaker 2: They sound nice because of the French like. 585 00:25:46,119 --> 00:25:48,600 Speaker 1: Saute means to jump, So I'm gonna be like, can 586 00:25:48,640 --> 00:25:50,679 Speaker 1: you jump those vegetables for me? 587 00:25:50,760 --> 00:25:53,120 Speaker 2: No, I'm gonna say, can you just can you toss 588 00:25:53,160 --> 00:25:56,280 Speaker 2: those vegetables with that hot oil, that hot fat? 589 00:25:56,680 --> 00:25:58,200 Speaker 1: That saute sounds better? 590 00:25:58,320 --> 00:26:03,440 Speaker 2: Hit me with that hot fat one more time? Or 591 00:26:03,800 --> 00:26:06,879 Speaker 2: or like okay, fine, mir poah right, which is just 592 00:26:06,920 --> 00:26:09,399 Speaker 2: carrot's onions and celery, which is the foundation of soups 593 00:26:09,400 --> 00:26:12,480 Speaker 2: and sauces. Instead, I'd be like, hit me with that 594 00:26:12,600 --> 00:26:16,120 Speaker 2: veggie stuff, like can we really americanize it? Yeah? 595 00:26:16,240 --> 00:26:18,160 Speaker 1: Or like to you know, cut your vegetables, like can 596 00:26:18,200 --> 00:26:19,840 Speaker 1: you usually end that carrot for me? 597 00:26:20,080 --> 00:26:23,240 Speaker 2: Yeah? Strip it? Strip those veggies for me. I just 598 00:26:23,240 --> 00:26:28,840 Speaker 2: imagine the carrot with in the thong, yeah. Or like 599 00:26:28,880 --> 00:26:32,199 Speaker 2: the brinois, which is a small dice brunoah right, just 600 00:26:32,359 --> 00:26:34,760 Speaker 2: cut that in the little squares for me. When you 601 00:26:34,760 --> 00:26:36,560 Speaker 2: say brinwa that. I said that the James the other 602 00:26:36,600 --> 00:26:38,159 Speaker 2: day was cutting. I was joking. I said, can you 603 00:26:38,200 --> 00:26:40,400 Speaker 2: can you bring wah that for me? He looked at 604 00:26:40,400 --> 00:26:42,440 Speaker 2: me and he threw an egg at my face. 605 00:26:42,680 --> 00:26:43,200 Speaker 1: Did it hurt? 606 00:26:44,920 --> 00:26:46,600 Speaker 2: No? Hit that part of the face that doesn't have 607 00:26:46,600 --> 00:26:48,600 Speaker 2: any nerves, you know, not under left part of my 608 00:26:48,680 --> 00:26:50,920 Speaker 2: eye where I got where I got stabbed when I 609 00:26:50,960 --> 00:26:51,360 Speaker 2: was a kid. 610 00:26:51,480 --> 00:26:53,920 Speaker 1: What the You're full of surprises? 611 00:26:54,040 --> 00:26:56,400 Speaker 2: I am. Do you like Thanksgiving more? 612 00:26:56,880 --> 00:27:01,000 Speaker 1: Are you kidding me? Thanksgiving is one of my Well, 613 00:27:01,040 --> 00:27:04,560 Speaker 1: I guess it is my favorite holiday because of the food. 614 00:27:05,440 --> 00:27:07,320 Speaker 1: I love a good Thanksgiving dinner. 615 00:27:07,760 --> 00:27:10,159 Speaker 2: So you like Thanksgiving dinner? But do you like Thanksgiving? 616 00:27:10,200 --> 00:27:11,600 Speaker 2: Everything about Thanksgiving? Yeah? 617 00:27:11,840 --> 00:27:14,000 Speaker 1: And I feel like it's so sad because, like, even 618 00:27:14,040 --> 00:27:16,920 Speaker 1: like the stores, they'll jump from Halloween to Christmas and Thanksgiving. 619 00:27:16,960 --> 00:27:19,000 Speaker 1: It's very little love they have, like one shelf in 620 00:27:19,040 --> 00:27:19,880 Speaker 1: the back corner. 621 00:27:19,720 --> 00:27:23,359 Speaker 2: Of the red headed stepchild of grocery politics. 622 00:27:23,680 --> 00:27:24,159 Speaker 1: For sure. 623 00:27:24,440 --> 00:27:27,360 Speaker 2: I think that here's my thing about Thanksgiving. Having worked 624 00:27:27,359 --> 00:27:29,760 Speaker 2: in a restaurant industry my entire life and always worked 625 00:27:29,760 --> 00:27:32,560 Speaker 2: on Thanksgiving, it's the busiest time of year. I never 626 00:27:32,640 --> 00:27:35,000 Speaker 2: really got to do Thanksgiving with the family after I 627 00:27:35,040 --> 00:27:37,920 Speaker 2: started working in restaurants. Now we can because we close 628 00:27:37,960 --> 00:27:40,399 Speaker 2: our own restaurants on Thanksgiving. But still it's like the 629 00:27:40,440 --> 00:27:44,800 Speaker 2: one day that we're off. Sometimes I think, you know, 630 00:27:44,880 --> 00:27:47,119 Speaker 2: on this Thanksgiving, it'd be nice to order some Chinese 631 00:27:47,160 --> 00:27:49,000 Speaker 2: food and just not do anything. 632 00:27:49,320 --> 00:27:50,320 Speaker 1: Let's do that this year. 633 00:27:51,000 --> 00:27:53,840 Speaker 2: I would never do that to you, especially after the list. 634 00:27:54,680 --> 00:27:57,919 Speaker 1: We can make like two sides and then still get Chinese. 635 00:27:57,960 --> 00:28:01,600 Speaker 1: I'll be happy, Camper. Give me some. 636 00:28:01,600 --> 00:28:04,720 Speaker 2: Stuffing already you're negotiating, like, let's do that this year. Plus, 637 00:28:04,760 --> 00:28:06,639 Speaker 2: we're gonna make the sweet potatoes with the marshmallows on 638 00:28:06,680 --> 00:28:08,639 Speaker 2: top that I absolutely love, the roasted acorn squash, the 639 00:28:08,640 --> 00:28:10,399 Speaker 2: black and green means we'll throw a turkey in there, 640 00:28:10,440 --> 00:28:12,399 Speaker 2: because why not. And you need mashed potatoes. Are you 641 00:28:12,440 --> 00:28:15,080 Speaker 2: gonna be making the chicken. 642 00:28:14,840 --> 00:28:20,080 Speaker 1: Loam means listen, if we can't have stuffing, mashed potatoes 643 00:28:20,160 --> 00:28:22,600 Speaker 1: and a good cranberry sauce, I'm done. That's it. 644 00:28:22,760 --> 00:28:25,400 Speaker 2: Just said two sides. You're into cranberry. 645 00:28:25,680 --> 00:28:28,480 Speaker 1: You can't have stuffing without cranberry sauce on top. 646 00:28:28,520 --> 00:28:30,640 Speaker 2: It's so good it sounds like a personal problem. Okay, 647 00:28:30,640 --> 00:28:34,200 Speaker 2: all right, everybody listening, Let's just be honest. Nobody wants 648 00:28:34,200 --> 00:28:35,800 Speaker 2: to say this out loud, but I'm giving you the 649 00:28:35,840 --> 00:28:40,719 Speaker 2: opportunity to voice this opinion. And I genuinely believe others 650 00:28:40,720 --> 00:28:42,800 Speaker 2: are with me on this. Would it be nice to 651 00:28:42,840 --> 00:28:46,000 Speaker 2: press pause? Kick your feet up, hang with the kids, 652 00:28:46,440 --> 00:28:49,600 Speaker 2: watch some football if that's your thing. Whatever makes you comfortable. 653 00:28:50,080 --> 00:28:53,600 Speaker 2: No phone calls, no emails, order some Chinese food, maybe 654 00:28:53,600 --> 00:28:56,120 Speaker 2: have a burger, throw a steak down, and not do 655 00:28:56,280 --> 00:28:58,760 Speaker 2: the whole thing because it's like, oh my gosh, we're 656 00:28:58,800 --> 00:29:01,320 Speaker 2: gonna go over to Ronda's house at three o'clock. For thinks. 657 00:29:01,640 --> 00:29:03,520 Speaker 2: That's the other thing. Why do we have to eat 658 00:29:03,520 --> 00:29:05,480 Speaker 2: Thanksgiving dinner at three o'clock? Oh? 659 00:29:05,560 --> 00:29:07,840 Speaker 1: I know, it's so annoying. They're like, Okay, we're gonna 660 00:29:07,840 --> 00:29:10,880 Speaker 1: have like an early like a liner, a lunch dinner. 661 00:29:10,920 --> 00:29:11,600 Speaker 2: Don't ever say that word. 662 00:29:11,840 --> 00:29:12,600 Speaker 1: That's what people say. 663 00:29:14,000 --> 00:29:16,200 Speaker 2: You said, there's such a liner. That's the third time, 664 00:29:16,280 --> 00:29:17,280 Speaker 2: one more time, and I'm. 665 00:29:17,120 --> 00:29:19,959 Speaker 1: Out, are you leaving? Okay, I won't say it anyway. 666 00:29:19,760 --> 00:29:23,840 Speaker 1: Why is that the norm? Not just Thanksgiving though, just 667 00:29:23,880 --> 00:29:26,440 Speaker 1: holidays in general. Why does everyone have to eat so freely? 668 00:29:26,520 --> 00:29:27,280 Speaker 2: Christmas is like that? 669 00:29:27,560 --> 00:29:28,200 Speaker 1: Yes, it is. 670 00:29:29,040 --> 00:29:31,800 Speaker 2: See, I think Thanksgiving has this like has created this. 671 00:29:32,360 --> 00:29:36,640 Speaker 2: It's like the blue Light special or the early bird 672 00:29:36,720 --> 00:29:39,760 Speaker 2: special at Denny's for Thanksgiving. Why do we have to 673 00:29:39,760 --> 00:29:41,680 Speaker 2: have it at three pm? Let's eat at seven. 674 00:29:42,560 --> 00:29:45,160 Speaker 1: Well, we end up eating super late anyway, we eat. 675 00:29:45,040 --> 00:29:48,840 Speaker 2: Late because we're just a late family and that's just 676 00:29:48,880 --> 00:29:50,400 Speaker 2: the nature of the beast. Our kids don't go to 677 00:29:50,440 --> 00:29:51,920 Speaker 2: bed until like one o'clock in the morning. 678 00:29:52,160 --> 00:29:54,920 Speaker 1: That is not true. Oh actually it is true if 679 00:29:54,920 --> 00:29:56,560 Speaker 1: Andrew's in charge. 680 00:29:56,720 --> 00:29:58,800 Speaker 2: Because I can't do it. I can't do the put 681 00:29:58,800 --> 00:30:01,400 Speaker 2: the four kids to bed thing. Well, it's really three Jade. 682 00:30:01,240 --> 00:30:04,480 Speaker 1: Goes, so literally two William and Jayden go to bed 683 00:30:04,520 --> 00:30:05,000 Speaker 1: on their own. 684 00:30:05,200 --> 00:30:08,280 Speaker 2: You think William are eleven year old. He will stay 685 00:30:08,360 --> 00:30:11,800 Speaker 2: up all night and walk around in circles and be like, Dad, 686 00:30:12,360 --> 00:30:16,480 Speaker 2: you know, I'm thinking about space and have you ever 687 00:30:16,640 --> 00:30:21,120 Speaker 2: seen a rocket hit a meteor? I'm just lying here 688 00:30:21,120 --> 00:30:23,480 Speaker 2: thinking can we google this? I'm like, can you? 689 00:30:23,520 --> 00:30:26,000 Speaker 1: Okay, First is that voice is horrible. Don't ever do 690 00:30:26,080 --> 00:30:27,600 Speaker 1: that again. And that's not what our eleven year old 691 00:30:27,640 --> 00:30:28,000 Speaker 1: sounds like. 692 00:30:28,080 --> 00:30:28,920 Speaker 2: That's his nighttime boys. 693 00:30:28,920 --> 00:30:32,040 Speaker 1: She's so cute. Okay, but it's really just the two 694 00:30:32,120 --> 00:30:34,760 Speaker 1: littles and once they're sleep, they're asleep, which is great. 695 00:30:34,760 --> 00:30:38,480 Speaker 2: But yeah, okay, we're not going to argue about this 696 00:30:38,480 --> 00:30:40,200 Speaker 2: because we have much time left in this episode. We're 697 00:30:40,200 --> 00:30:41,880 Speaker 2: going to touch on this in another one. But that, 698 00:30:42,000 --> 00:30:44,840 Speaker 2: by the way, that that's revisionist history right there. That's 699 00:30:44,880 --> 00:30:47,480 Speaker 2: not the case. Lauren will be upstairs scrolling through Instagram 700 00:30:47,520 --> 00:30:50,080 Speaker 2: while I'm juggling the children and I'm telling them the 701 00:30:50,160 --> 00:30:55,000 Speaker 2: greatest nighttime stories. I'm like Hemingway at night, every single night, 702 00:30:55,080 --> 00:30:58,360 Speaker 2: rewriting a story. There's a hero, there's a story arc, 703 00:30:58,600 --> 00:31:00,719 Speaker 2: there's typically some sort of a fight or a battle, 704 00:31:00,880 --> 00:31:04,200 Speaker 2: and it ends in victory and triumph. This is what 705 00:31:04,280 --> 00:31:05,360 Speaker 2: I do every single night. 706 00:31:05,600 --> 00:31:08,800 Speaker 1: Oh yes, yes, okay, we'll just leave it at. 707 00:31:08,720 --> 00:31:10,120 Speaker 2: That, all right, So let us know about whether you 708 00:31:10,120 --> 00:31:11,880 Speaker 2: want to have Thanksgiving or whether you want to have 709 00:31:12,000 --> 00:31:15,800 Speaker 2: just sit on the couch giving with Chinese food. With 710 00:31:15,960 --> 00:31:17,880 Speaker 2: Chinese food, it doesn't have to be Chinese food, could 711 00:31:17,880 --> 00:31:20,200 Speaker 2: be Japanese food, could be tie food. I just think 712 00:31:20,240 --> 00:31:22,280 Speaker 2: something that you order out and typically sit down and 713 00:31:22,320 --> 00:31:24,719 Speaker 2: eat could be burgers. But make your own burgers if 714 00:31:24,720 --> 00:31:26,880 Speaker 2: it's Thanksgiving. All right, Well, thanks for hanging out with 715 00:31:26,920 --> 00:31:29,160 Speaker 2: us here on American Gravy. We hope that you laughed, learned, 716 00:31:29,160 --> 00:31:31,280 Speaker 2: and maybe got a little bit hungry along the way. 717 00:31:31,440 --> 00:31:33,640 Speaker 2: Hopefully you got some good cooking tips as well. We're 718 00:31:33,640 --> 00:31:36,120 Speaker 2: going to be back with more stories that feed the soul. 719 00:31:37,440 --> 00:31:39,320 Speaker 1: And probably clog Anhart area two. 720 00:31:39,680 --> 00:31:41,640 Speaker 2: Yep, that's a special line she had to read. Till 721 00:31:41,640 --> 00:31:43,920 Speaker 2: next time. Guys, keep it saucy, keep it free, and 722 00:31:44,040 --> 00:31:47,800 Speaker 2: keep it family. That doesn't make sense, keep it family whatever. 723 00:31:47,880 --> 00:31:49,880 Speaker 2: You got to rewrite this and my copywriter needs to 724 00:31:49,880 --> 00:31:53,640 Speaker 2: get fired. And guys, on the next episode, we're gonna 725 00:31:53,640 --> 00:31:56,520 Speaker 2: dig even deeper into Thanksgiving and we're gonna be covering 726 00:31:56,520 --> 00:31:59,160 Speaker 2: some of the hottest food stories plus blow your biscuits, 727 00:31:59,240 --> 00:32:03,960 Speaker 2: WTF and sharpening your skills. Make sure that you subscribe 728 00:32:04,240 --> 00:32:07,360 Speaker 2: to American Gravy on substack. Make sure that you follow 729 00:32:07,440 --> 00:32:10,120 Speaker 2: us both on Instagram and X. I'm on EX at 730 00:32:10,200 --> 00:32:12,960 Speaker 2: Chef Gruel, on Instagram at Andrew Gruhle. 731 00:32:12,760 --> 00:32:15,200 Speaker 1: And I'm on X at Lauren Girl and on Instagram 732 00:32:15,200 --> 00:32:17,360 Speaker 1: at Lauren Underscore Gruel. 733 00:32:17,160 --> 00:32:19,200 Speaker 2: And on any of those platforms. Be sure to send 734 00:32:19,280 --> 00:32:21,720 Speaker 2: us your WTF stories and anything else that you want 735 00:32:21,720 --> 00:32:24,640 Speaker 2: to hear about in regards to cooking skills. Till next time, 736 00:32:24,840 --> 00:32:25,400 Speaker 2: See you later.