1 00:00:02,279 --> 00:00:05,520 Speaker 1: And welcome back to another episode of American Gravy. This 2 00:00:05,640 --> 00:00:08,240 Speaker 1: is the only show where we mix food, family, and 3 00:00:08,320 --> 00:00:11,440 Speaker 1: freedom in the same pot, and somehow we don't burn it. 4 00:00:11,760 --> 00:00:13,880 Speaker 1: We like to burn things, well mostly. 5 00:00:14,080 --> 00:00:16,640 Speaker 2: Yeah, where the grease is hot, the opinions are hotter, 6 00:00:17,040 --> 00:00:20,279 Speaker 2: and somebody definitely burned the bacon. I'm Lauren Gruhl. 7 00:00:20,079 --> 00:00:21,280 Speaker 1: And I'm chef Andrew Grouhl. 8 00:00:21,520 --> 00:00:24,040 Speaker 2: And today we're stirring together a little food family in 9 00:00:24,079 --> 00:00:26,320 Speaker 2: the occasional political indigestion. 10 00:00:26,640 --> 00:00:28,800 Speaker 1: Yeah, I threw that one in there, a little political indigestion. 11 00:00:28,880 --> 00:00:33,800 Speaker 1: Get me my zant. Where are my tombs? Tombs are delicious. 12 00:00:33,840 --> 00:00:36,040 Speaker 2: By the way, you used to have tom You used 13 00:00:36,040 --> 00:00:37,520 Speaker 2: to just walk around the thumbs all the time. 14 00:00:37,560 --> 00:00:38,080 Speaker 1: I like toms. 15 00:00:38,120 --> 00:00:38,880 Speaker 2: What happened to those? 16 00:00:39,040 --> 00:00:41,680 Speaker 1: I don't know, but I've had heartburn political indigestion ever since, 17 00:00:41,720 --> 00:00:44,400 Speaker 1: So you need to carry some thumbs. Speaking of political indigestion, 18 00:00:44,520 --> 00:00:47,519 Speaker 1: let's get into our main food headline today. So the 19 00:00:47,600 --> 00:00:51,440 Speaker 1: Trump administration and Xijing Ping's Chinese government agreed on a 20 00:00:51,479 --> 00:00:55,600 Speaker 1: new framework for an agreement. It's the constant tariff war, 21 00:00:56,120 --> 00:00:56,520 Speaker 1: all right. 22 00:00:56,560 --> 00:01:00,280 Speaker 2: So China commits to purchasing about twelve million metric tons 23 00:01:00,280 --> 00:01:03,040 Speaker 2: of US soybeans this year and at least twenty five 24 00:01:03,080 --> 00:01:05,920 Speaker 2: million tons annually for the next three years. 25 00:01:06,080 --> 00:01:08,399 Speaker 1: So the reason why this is important is because we've 26 00:01:08,400 --> 00:01:10,760 Speaker 1: been in this tariff battle and I feel like sometimes 27 00:01:10,760 --> 00:01:13,280 Speaker 1: it's a hot conversation, other times it's not. But in 28 00:01:13,319 --> 00:01:16,000 Speaker 1: the background, what China has done is they've said, Okay, 29 00:01:16,120 --> 00:01:18,160 Speaker 1: you want to throw these tariffs on us, Well, we're 30 00:01:18,200 --> 00:01:21,600 Speaker 1: your number one buyer consumer of soybeans, so which is 31 00:01:21,640 --> 00:01:24,160 Speaker 1: funny because they buy the soybeans processed junkin and send 32 00:01:24,200 --> 00:01:26,080 Speaker 1: it back to US. But we're going to stop buying 33 00:01:26,120 --> 00:01:28,959 Speaker 1: all together from you and the soybean farmers. Soybean prices 34 00:01:29,000 --> 00:01:31,880 Speaker 1: went down, commodity prices went down. Everyone was freaking out 35 00:01:31,880 --> 00:01:33,520 Speaker 1: about this. We were trying to make deals with other 36 00:01:33,560 --> 00:01:36,240 Speaker 1: countries to sell them the soybeans. But now that Trump 37 00:01:36,240 --> 00:01:38,839 Speaker 1: has been on this, you know, kind of East Asia tour, 38 00:01:39,760 --> 00:01:42,399 Speaker 1: one of the goals has been to try and renegotiate, 39 00:01:42,640 --> 00:01:45,400 Speaker 1: and he said, we're going to reduce tariffs on Chinese 40 00:01:45,480 --> 00:01:48,160 Speaker 1: goods all together, well, not altogether, sorry, probably a ten 41 00:01:48,200 --> 00:01:52,000 Speaker 1: percent cut in the cumulative tariff rate under this deal 42 00:01:52,160 --> 00:01:55,040 Speaker 1: in exchange for them agreen to start buying the soybeans back. 43 00:01:55,680 --> 00:01:57,520 Speaker 1: The agreement also touched on a lot of the high 44 00:01:57,520 --> 00:02:01,760 Speaker 1: tech rare earth export controls and curbing the flow of 45 00:02:02,120 --> 00:02:06,880 Speaker 1: precursor chemicals used for fentanyl, So you know, multifaceted. We're 46 00:02:06,880 --> 00:02:08,679 Speaker 1: covering the fentanyl trade, we're covering a lot of the 47 00:02:08,800 --> 00:02:12,079 Speaker 1: rare earth stuff which is ultimately tech related, and then 48 00:02:12,200 --> 00:02:15,480 Speaker 1: of course, more importantly for US farmers is the soybean 49 00:02:15,480 --> 00:02:17,680 Speaker 1: piece of this. And then hopefully we can kind of 50 00:02:18,440 --> 00:02:19,920 Speaker 1: I don't want to say put a pin in this, 51 00:02:20,000 --> 00:02:23,080 Speaker 1: but like you know, really start to normalize or balance 52 00:02:23,120 --> 00:02:25,720 Speaker 1: out some of these trade issues that we've seen that's 53 00:02:25,760 --> 00:02:28,480 Speaker 1: been jostling the economy to some degree. 54 00:02:28,840 --> 00:02:30,919 Speaker 2: Yeah, I mean I feel like all people were talking 55 00:02:30,960 --> 00:02:33,520 Speaker 2: about and still continue to talk about, are the tariffs. 56 00:02:33,600 --> 00:02:36,040 Speaker 1: Well, like we talked about last episode. You know, everyone's 57 00:02:36,040 --> 00:02:38,880 Speaker 1: like snap benefit experts and they're also tariff experts, and 58 00:02:38,919 --> 00:02:41,640 Speaker 1: they're you know, it's like suddenly I'm a mercantile list 59 00:02:41,680 --> 00:02:44,040 Speaker 1: and nobody even knows what that means. You know, we're 60 00:02:44,040 --> 00:02:44,760 Speaker 1: getting into the map. 61 00:02:44,919 --> 00:02:48,920 Speaker 2: Would the rare earth be like lithium. 62 00:02:48,600 --> 00:02:51,440 Speaker 1: Yeah, like lilium, like lithium and any of these rare 63 00:02:51,480 --> 00:02:53,720 Speaker 1: earth metals, all the things that we need because AI. 64 00:02:53,919 --> 00:02:56,160 Speaker 2: What else are we using besides lithium? 65 00:02:56,840 --> 00:02:59,799 Speaker 1: We are using catium, cadmium. 66 00:03:00,200 --> 00:03:01,639 Speaker 2: What's cadmium? 67 00:03:01,720 --> 00:03:03,679 Speaker 1: I think it's like a Cadbury egg, but it comes 68 00:03:03,720 --> 00:03:05,720 Speaker 1: to the earth. It just doesn't have the cream on 69 00:03:05,760 --> 00:03:09,160 Speaker 1: the inside of it. What the But I want to 70 00:03:09,440 --> 00:03:11,360 Speaker 1: We'll talk about the lithium and the xanax in a 71 00:03:11,360 --> 00:03:12,079 Speaker 1: second here, but. 72 00:03:12,360 --> 00:03:15,040 Speaker 2: Let's go back to the xanax. Do I need some? 73 00:03:15,320 --> 00:03:17,880 Speaker 1: No, isn't lithium a drug? That's why I made that joke. 74 00:03:18,280 --> 00:03:19,920 Speaker 1: What I want to go back to is the soybeans 75 00:03:20,200 --> 00:03:24,600 Speaker 1: because I have said at length for years that when 76 00:03:24,639 --> 00:03:28,200 Speaker 1: we are only focusing on three or four monocrops, right, soybeans, 77 00:03:28,240 --> 00:03:32,480 Speaker 1: corn wheat, and I mean, really, you know, soybean and 78 00:03:32,520 --> 00:03:36,400 Speaker 1: a corner the key right there, we're and and we 79 00:03:36,520 --> 00:03:38,680 Speaker 1: used to have this diversity of crop in the United States, 80 00:03:38,760 --> 00:03:41,080 Speaker 1: thousands of different crops, and we were able to distribute 81 00:03:41,120 --> 00:03:43,480 Speaker 1: them all over the place and create tons of different products. 82 00:03:43,480 --> 00:03:45,800 Speaker 1: But then we realized that it through a lot of 83 00:03:45,840 --> 00:03:48,520 Speaker 1: the government imposed farm subsidies, if we got our farmers 84 00:03:48,560 --> 00:03:50,520 Speaker 1: to only grow a certain number of crops, we would 85 00:03:50,560 --> 00:03:53,640 Speaker 1: be stronger on an international stage. I've said, it puts 86 00:03:53,720 --> 00:03:56,360 Speaker 1: US in a position where it's a national security issue. 87 00:03:56,720 --> 00:03:59,200 Speaker 1: Just like this China says, we'll screw you. We're not 88 00:03:59,200 --> 00:04:01,960 Speaker 1: going to buy all that soybeans for you. Theoretically, that 89 00:04:02,000 --> 00:04:04,360 Speaker 1: could tank the economy because when we put all of 90 00:04:04,360 --> 00:04:07,360 Speaker 1: our eggs or our soybeans in that one basket, we 91 00:04:07,480 --> 00:04:13,000 Speaker 1: run the risk of having a national security issue or situation. 92 00:04:13,120 --> 00:04:15,200 Speaker 1: When it comes to the food supply, we need to 93 00:04:15,320 --> 00:04:18,640 Speaker 1: diversify and decentralize our food supply in our food system 94 00:04:19,000 --> 00:04:21,440 Speaker 1: so that we are not just self sufficient, but we 95 00:04:21,480 --> 00:04:24,320 Speaker 1: are also preventing some sort of a national issue, whether 96 00:04:24,320 --> 00:04:30,680 Speaker 1: it be economic or even through the import of questionable products. 97 00:04:31,000 --> 00:04:33,480 Speaker 1: One of the things that the news stories that we 98 00:04:33,560 --> 00:04:36,400 Speaker 1: covered briefly was the radiation and all of the shrimp 99 00:04:36,440 --> 00:04:38,760 Speaker 1: imports that we've seen and everyone's like, oh my god, 100 00:04:38,800 --> 00:04:41,360 Speaker 1: there's radiation in our shrimp. Now, I'm not saying that 101 00:04:41,400 --> 00:04:43,960 Speaker 1: was nefarius by design, but when I look back into 102 00:04:44,040 --> 00:04:47,640 Speaker 1: the story, the radiation was actually coming from the shipping containers, 103 00:04:47,800 --> 00:04:51,040 Speaker 1: the majority of which come from overseas China specifically, so 104 00:04:51,320 --> 00:04:54,040 Speaker 1: I still want to know. And then it tainted the 105 00:04:54,520 --> 00:04:57,599 Speaker 1: shrimp packaging, so they obviously recalled the shrimp. I don't 106 00:04:57,600 --> 00:04:59,440 Speaker 1: think that there was an issue with people consuming the 107 00:04:59,520 --> 00:05:02,600 Speaker 1: radioactive shrimp, although we'll find out on Halloween when people 108 00:05:02,600 --> 00:05:04,960 Speaker 1: are walking around with a glowing green head. We don't 109 00:05:04,960 --> 00:05:06,920 Speaker 1: know if it's a Halloween costume or they just had 110 00:05:07,080 --> 00:05:11,240 Speaker 1: too many shrimp cocktails. But the issue is where did 111 00:05:11,240 --> 00:05:14,200 Speaker 1: the radiation come from in these shipping containers. And furthermore, 112 00:05:14,480 --> 00:05:17,560 Speaker 1: if it took us having the product in the supply 113 00:05:17,680 --> 00:05:19,520 Speaker 1: chain to figure it out, how do we know that 114 00:05:19,560 --> 00:05:22,920 Speaker 1: one of these countries that perhaps has some ill will 115 00:05:22,960 --> 00:05:25,520 Speaker 1: towards the United States doesn't put something in our food 116 00:05:25,560 --> 00:05:29,160 Speaker 1: supply with all the imports that we have and then 117 00:05:29,320 --> 00:05:33,640 Speaker 1: ultimately creates like a national disaster similar to the pandemic, 118 00:05:34,000 --> 00:05:37,719 Speaker 1: but in the form of food poisoning or food contamination exact. 119 00:05:37,760 --> 00:05:40,560 Speaker 3: That's a really scary thought. Yeah, well, I've never thought 120 00:05:40,560 --> 00:05:42,880 Speaker 3: of that. That's where my head goes eighty plus. Now 121 00:05:42,880 --> 00:05:44,960 Speaker 3: it's ninety percent of the seafood that we consume in 122 00:05:45,000 --> 00:05:48,040 Speaker 3: the United States is imported, and the majority of that 123 00:05:48,040 --> 00:05:50,160 Speaker 3: comes from ninety percent. 124 00:05:50,400 --> 00:05:50,599 Speaker 2: Wow. 125 00:05:51,040 --> 00:05:53,400 Speaker 1: Fifteen years ago it was abound eighty eighty one percent 126 00:05:53,440 --> 00:05:56,719 Speaker 1: and it's up to ninety percent right now, that's wild. 127 00:05:57,200 --> 00:05:58,080 Speaker 1: It's scared. 128 00:05:58,120 --> 00:06:00,400 Speaker 2: What if they just stopped sending us stuff? 129 00:06:00,520 --> 00:06:03,280 Speaker 1: Well, yeah, what if they say we're done, Like four 130 00:06:03,279 --> 00:06:05,200 Speaker 1: big countries get together and say we're not shipping you 131 00:06:05,240 --> 00:06:09,200 Speaker 1: any seafood. Then you think yourself, who, I don't eat seafood, 132 00:06:09,200 --> 00:06:10,920 Speaker 1: So it's not gonna affect me. No, it's going to 133 00:06:10,960 --> 00:06:14,280 Speaker 1: tear the economy apart because every single restaurant food service 134 00:06:14,279 --> 00:06:18,839 Speaker 1: operation who relies on that seafood. In addition to people 135 00:06:18,880 --> 00:06:22,120 Speaker 1: don't know this, but pet food, so we buy and 136 00:06:22,200 --> 00:06:25,679 Speaker 1: import so much seafood and seafood bait product for pet food. 137 00:06:25,800 --> 00:06:28,280 Speaker 1: The pet food industry is huge. I mean, you know, 138 00:06:28,400 --> 00:06:31,200 Speaker 1: Karen and Mary, you have seventeen cats. You know they're 139 00:06:31,200 --> 00:06:34,680 Speaker 1: eating the Friskies seafood cat food. And who's going to 140 00:06:34,680 --> 00:06:35,400 Speaker 1: be feeding. 141 00:06:35,120 --> 00:06:37,839 Speaker 2: Those cats Not Karen and Mary. 142 00:06:38,040 --> 00:06:40,480 Speaker 1: Yeah, exactly, not Karen and Mary, because they're going to 143 00:06:40,520 --> 00:06:42,600 Speaker 1: be tied up in a prison somewhere wondering where their 144 00:06:42,600 --> 00:06:43,919 Speaker 1: cats are while the Chinese. 145 00:06:43,640 --> 00:06:45,559 Speaker 2: Whip us What the heck? 146 00:06:45,640 --> 00:06:47,280 Speaker 1: I don't know. I was just trying to I was 147 00:06:47,320 --> 00:06:49,440 Speaker 1: just trying to get a reaction from Lauren. So I 148 00:06:49,440 --> 00:06:52,320 Speaker 1: think this is really interesting because it gets into the 149 00:06:52,320 --> 00:06:57,280 Speaker 1: food and agriculture policy, local and regional agriculture policy. We 150 00:06:57,520 --> 00:07:01,200 Speaker 1: really need to focus on, break down the centralization and 151 00:07:01,200 --> 00:07:03,520 Speaker 1: getting rid of the monocropping and focusing on our US 152 00:07:03,600 --> 00:07:09,680 Speaker 1: ranchers and produce suppliers, smaller, independent, family run operations, more 153 00:07:09,720 --> 00:07:13,840 Speaker 1: processing facilities, more independent farms. That's going to be the answer, 154 00:07:13,880 --> 00:07:17,200 Speaker 1: because then there's self sufficiency, which makes us a stronger nation. 155 00:07:17,520 --> 00:07:20,600 Speaker 1: Does that come with an increased cost? Maybe over the 156 00:07:20,600 --> 00:07:22,840 Speaker 1: short term. You just got a budget better. 157 00:07:23,440 --> 00:07:25,760 Speaker 2: I agree with you. You're so smart on this stuff. 158 00:07:26,120 --> 00:07:28,280 Speaker 1: So she's saying that, But what you guys don't realize 159 00:07:28,320 --> 00:07:30,200 Speaker 1: is that she was fixing her computer in the background. 160 00:07:30,280 --> 00:07:33,400 Speaker 1: So I had to kind of go on my filibuster here. 161 00:07:33,480 --> 00:07:33,720 Speaker 1: I know. 162 00:07:33,840 --> 00:07:37,840 Speaker 3: I was like, keep rolling, keep it rolling, keep going. 163 00:07:37,760 --> 00:07:39,840 Speaker 1: Keep going. I can talk about this stuff for years, 164 00:07:39,880 --> 00:07:40,280 Speaker 1: but you can. 165 00:07:40,360 --> 00:07:43,240 Speaker 2: You're very you are very knowledgeable. Yeah. 166 00:07:43,240 --> 00:07:44,720 Speaker 1: I just made most of that up. I was just 167 00:07:44,760 --> 00:07:46,800 Speaker 1: trying to fill those You convinced me, all right, what 168 00:07:46,800 --> 00:07:48,120 Speaker 1: do we got for our second story? Lauren? 169 00:07:48,160 --> 00:07:50,320 Speaker 2: All right? So this kind of scares me because I 170 00:07:50,320 --> 00:07:54,200 Speaker 2: feel like it could happen to anybody. So in Yurupa Valley, California. 171 00:07:54,440 --> 00:07:57,840 Speaker 2: Mask Men claiming to have a search warrant posing as 172 00:07:58,120 --> 00:08:02,560 Speaker 2: FBI agents enter a home and proceed to zip tie 173 00:08:02,560 --> 00:08:06,680 Speaker 2: the entire family inside and rob them. Like isn't that scary, 174 00:08:06,760 --> 00:08:09,840 Speaker 2: especially if you can get like these kind of FBI 175 00:08:10,080 --> 00:08:12,800 Speaker 2: or you know, official looking outfits on like Amazon. 176 00:08:12,960 --> 00:08:15,880 Speaker 1: I know that is scary because we've taught our kids, 177 00:08:15,880 --> 00:08:18,040 Speaker 1: like just period, you don't answer the door for anybody. 178 00:08:18,080 --> 00:08:20,600 Speaker 1: There's way too many stories, especially here in California, where 179 00:08:20,600 --> 00:08:22,800 Speaker 1: people are knocking on the door and then like there's 180 00:08:22,840 --> 00:08:25,840 Speaker 1: ten guys hiding into bushes, so they bust in and 181 00:08:25,880 --> 00:08:26,760 Speaker 1: they steal. 182 00:08:26,520 --> 00:08:28,920 Speaker 2: Everything, you know, and they pose as like you know, 183 00:08:29,160 --> 00:08:32,600 Speaker 2: delivery drivers, delivery drivers needing a signature. Like there's so 184 00:08:32,679 --> 00:08:35,520 Speaker 2: many things. It's like it's pretty scary that this could happen. 185 00:08:35,679 --> 00:08:38,040 Speaker 1: Or the kids selling the candy bars, Oh yeah that 186 00:08:38,120 --> 00:08:40,319 Speaker 1: was a thing. Yeah, you got to protect yourself. I mean, 187 00:08:40,360 --> 00:08:43,680 Speaker 1: we have a moat outside of our house. And then 188 00:08:43,800 --> 00:08:45,880 Speaker 1: what I do is is that I'll have like the 189 00:08:45,920 --> 00:08:48,920 Speaker 1: youngest kids answer the door, because if they spend two 190 00:08:48,960 --> 00:08:51,439 Speaker 1: minutes with our youngest kids, they're probably going to return them. 191 00:08:51,480 --> 00:08:53,480 Speaker 1: Never mind, Yeah, they're like, never mind, that's even better 192 00:08:53,559 --> 00:08:56,520 Speaker 1: than a watchdog. Yeah, and then of course sling shots, 193 00:08:56,559 --> 00:09:00,360 Speaker 1: water balloons a few six hours and a shot gun 194 00:09:00,920 --> 00:09:02,520 Speaker 1: for the kids, of course for the kids. 195 00:09:03,000 --> 00:09:05,040 Speaker 2: So that's pretty scary to me, especially because you know, 196 00:09:05,120 --> 00:09:08,800 Speaker 2: you have these older people who necessarily maybe are more 197 00:09:08,840 --> 00:09:11,439 Speaker 2: trustworthy and like don't watch the news as much or 198 00:09:11,440 --> 00:09:13,720 Speaker 2: don't see what's going on, and they answer the door 199 00:09:13,760 --> 00:09:15,760 Speaker 2: and whatever. It just freaks me out. 200 00:09:15,880 --> 00:09:17,560 Speaker 1: Yeah, So what I would say, I hate to say this, 201 00:09:17,640 --> 00:09:20,160 Speaker 1: like ring camera, get it, but or just don't answer 202 00:09:20,200 --> 00:09:23,120 Speaker 1: your door. There's what's a reason to answer your door anymore? 203 00:09:23,120 --> 00:09:23,760 Speaker 1: These days? 204 00:09:24,200 --> 00:09:27,319 Speaker 2: The only reason I answer a door is when like 205 00:09:27,440 --> 00:09:28,840 Speaker 2: our kid, the neighborhood kids come. 206 00:09:28,720 --> 00:09:30,240 Speaker 1: In door exactly, but you look through the people. I 207 00:09:30,400 --> 00:09:33,000 Speaker 1: see the kids. But like otherwise, there's no reason to 208 00:09:33,000 --> 00:09:33,880 Speaker 1: answer the door. 209 00:09:33,920 --> 00:09:36,400 Speaker 2: Zero reason to answer the door. It freaks me out. 210 00:09:36,440 --> 00:09:37,640 Speaker 1: I think we should stop mail. 211 00:09:38,920 --> 00:09:41,120 Speaker 2: Well, they don't knock on your door. Sometimes it's a 212 00:09:41,120 --> 00:09:46,840 Speaker 2: certified letter side. Sometimes I don't think anybody would come 213 00:09:46,920 --> 00:09:48,600 Speaker 2: dressed as a mailman with a mail. 214 00:09:48,880 --> 00:09:52,480 Speaker 1: Say that I was a mailman for Halloween. I don't. 215 00:09:52,559 --> 00:09:55,120 Speaker 1: I don't even think we should have mail. I'm saying 216 00:09:55,160 --> 00:09:56,560 Speaker 1: get rid of the US Postal Service. 217 00:09:56,720 --> 00:10:00,000 Speaker 2: There's a lot speaking of mail, how much junk mail? 218 00:10:00,240 --> 00:10:03,240 Speaker 2: Do we get? So much wasted paper? It is, and 219 00:10:03,280 --> 00:10:05,439 Speaker 2: all these flyers that they're spending who knows how much 220 00:10:05,480 --> 00:10:08,440 Speaker 2: money on you know, probably from donations or whatever. And 221 00:10:08,480 --> 00:10:10,400 Speaker 2: I'm like, there's just so much wasted money. 222 00:10:10,559 --> 00:10:12,600 Speaker 1: I actually do agree with that one hundred percent. So 223 00:10:12,640 --> 00:10:15,760 Speaker 1: we're banning mail. We're getting rid of all costumes on Amazon, 224 00:10:16,000 --> 00:10:19,079 Speaker 1: and nobody's going to be able to consume soybeans anymore. 225 00:10:18,720 --> 00:10:20,360 Speaker 2: So we're getting rid of every that's that. 226 00:10:20,520 --> 00:10:22,920 Speaker 1: This is one that's interesting is that did you see 227 00:10:22,920 --> 00:10:26,040 Speaker 1: this Detroit cop who went violence for making a virtual 228 00:10:26,080 --> 00:10:26,760 Speaker 1: court appearance? 229 00:10:26,840 --> 00:10:30,720 Speaker 2: And he had no pants on, but which is hilarious 230 00:10:31,000 --> 00:10:34,000 Speaker 2: because most people when they're doing these types of zooms, 231 00:10:34,000 --> 00:10:36,880 Speaker 2: they dress from the top up, so they have like 232 00:10:36,920 --> 00:10:39,600 Speaker 2: a nicer shirt on or you know whatever. So he 233 00:10:39,720 --> 00:10:42,960 Speaker 2: probably assumed like the lower half of him wasn't going 234 00:10:43,000 --> 00:10:45,000 Speaker 2: to be like on video. 235 00:10:45,200 --> 00:10:46,920 Speaker 1: But how does that happen? Was he in his office? 236 00:10:47,080 --> 00:10:48,719 Speaker 2: No, he was like sitting on a couch I think 237 00:10:48,840 --> 00:10:52,080 Speaker 2: or something. Oh that's weird, And so the judge asked 238 00:10:52,120 --> 00:10:55,240 Speaker 2: to like show himself or whatever, make an appearance. So 239 00:10:55,280 --> 00:10:57,920 Speaker 2: he turned on his video and he's just sitting there 240 00:10:58,360 --> 00:11:00,640 Speaker 2: like in his boxer as I'm pretty sure, and then 241 00:11:00,720 --> 00:11:02,640 Speaker 2: his like police uniform up top. 242 00:11:02,880 --> 00:11:04,640 Speaker 1: At least they were boxers and not fund these. 243 00:11:04,760 --> 00:11:05,880 Speaker 2: At least he had something on. 244 00:11:05,960 --> 00:11:07,719 Speaker 1: At least they weren't like edible on like he was 245 00:11:07,760 --> 00:11:08,480 Speaker 1: wearing protudo. 246 00:11:09,480 --> 00:11:10,840 Speaker 2: Okay, why do you always bring that. 247 00:11:10,920 --> 00:11:13,400 Speaker 1: Up because I wore one time I made paints. 248 00:11:13,440 --> 00:11:16,120 Speaker 2: I feel like this is a secret, you know, some 249 00:11:16,360 --> 00:11:18,319 Speaker 2: sort of secret thing you have going on. 250 00:11:18,559 --> 00:11:21,520 Speaker 1: Yeah, that's weird. Do you know that dictionary dot COM's 251 00:11:21,559 --> 00:11:24,600 Speaker 1: word of the year is that I'm done done six 252 00:11:24,840 --> 00:11:28,920 Speaker 1: seven six seven. Our kids say, you know what, Our 253 00:11:29,000 --> 00:11:29,840 Speaker 1: kids are getting sick. 254 00:11:29,920 --> 00:11:31,880 Speaker 2: Our kids are getting sick of it too. But it's 255 00:11:31,880 --> 00:11:34,720 Speaker 2: so funny. So people are losing their minds that this 256 00:11:34,880 --> 00:11:36,360 Speaker 2: is the word of the year. 257 00:11:36,440 --> 00:11:38,959 Speaker 1: Yeah, but we did. We had so many stupid phrases 258 00:11:39,000 --> 00:11:40,640 Speaker 1: and sayings back when we were growing up. 259 00:11:41,280 --> 00:11:43,320 Speaker 2: Did it ever make word of the year, Well. 260 00:11:43,200 --> 00:11:47,240 Speaker 1: That's just dictionary dot com. I mean. Wordsmithing has become 261 00:11:47,320 --> 00:11:50,359 Speaker 1: like a political thing recently, where we're changing the definitions 262 00:11:50,360 --> 00:11:52,959 Speaker 1: of words, and like the Webster dictionaries and dictionary dot 263 00:11:52,960 --> 00:11:55,520 Speaker 1: coms have gotten really involved in culture, which I think 264 00:11:55,559 --> 00:11:58,280 Speaker 1: is so so dumb. Go back to the old encyclopedia 265 00:11:58,360 --> 00:12:01,760 Speaker 1: Brittonica days and just give us the acts, the the 266 00:12:01,920 --> 00:12:05,760 Speaker 1: undressed facts. Let us make our own creatress about it. 267 00:12:06,120 --> 00:12:08,240 Speaker 2: I still don't know what six seven. 268 00:12:08,440 --> 00:12:10,520 Speaker 1: It came from a song. There was a song, and 269 00:12:10,559 --> 00:12:13,719 Speaker 1: then somebody clipped it out, and then some famous basketball 270 00:12:13,760 --> 00:12:16,199 Speaker 1: players started using that part in one of his videos, 271 00:12:16,320 --> 00:12:17,880 Speaker 1: and then it went viral and it was like that 272 00:12:18,000 --> 00:12:18,320 Speaker 1: was it. 273 00:12:18,400 --> 00:12:21,280 Speaker 2: You know what's funny. Teachers are now when they're counting, 274 00:12:21,280 --> 00:12:24,319 Speaker 2: they're going one, two, three, four, five, eight, nine, ten 275 00:12:24,440 --> 00:12:28,480 Speaker 2: because they're skipping six seven. Because the kids go crazy. 276 00:12:28,679 --> 00:12:31,160 Speaker 1: I saw the videos at In and Out Burger where 277 00:12:31,400 --> 00:12:34,080 Speaker 1: they wait for the number it's like six, sixty five, 278 00:12:34,200 --> 00:12:37,320 Speaker 1: sixty six, and then when they say sixty seven or 279 00:12:37,640 --> 00:12:40,480 Speaker 1: now they're saying six seven, the whole entire In and 280 00:12:40,480 --> 00:12:41,280 Speaker 1: Out Burger. 281 00:12:41,000 --> 00:12:43,480 Speaker 2: Goes crazy crazy. I mean, I think it's kind of 282 00:12:43,520 --> 00:12:46,800 Speaker 2: funny that like this random, you know, pairing of. 283 00:12:48,280 --> 00:12:50,839 Speaker 1: Numbers, this random pairing of numbers. It's like us, we're 284 00:12:50,960 --> 00:12:54,080 Speaker 1: random pairing of numbers. We are that's created a sensation 285 00:12:54,400 --> 00:12:58,640 Speaker 1: in our bellies. It's called butterflies. Oh I get butterflies. 286 00:12:58,640 --> 00:12:59,199 Speaker 1: I have butterflies. 287 00:12:59,280 --> 00:13:01,160 Speaker 2: My youll get But so when you see me. 288 00:13:01,280 --> 00:13:03,400 Speaker 1: When I see you, do I get yeah, because I'm like, oh, shoot, 289 00:13:03,400 --> 00:13:04,480 Speaker 1: I didn't make the bed. I'm dead. 290 00:13:05,160 --> 00:13:08,920 Speaker 2: So you get nervous butterflies, not like excited to see me. 291 00:13:09,000 --> 00:13:11,200 Speaker 1: It depends. I can see when I get home. Sometimes 292 00:13:11,200 --> 00:13:12,720 Speaker 1: when I pull up to the house and you're pulling 293 00:13:12,800 --> 00:13:14,280 Speaker 1: up to the house, and I can see the look 294 00:13:14,320 --> 00:13:16,079 Speaker 1: on your face, and I'm like, is she in a 295 00:13:16,120 --> 00:13:17,880 Speaker 1: good mood? Or did the kids do something really? 296 00:13:17,960 --> 00:13:21,320 Speaker 2: Okay? Listen here, So Andrew, I, I do this too, 297 00:13:21,440 --> 00:13:24,160 Speaker 2: but you do it a little more extreme. Andrew will 298 00:13:24,200 --> 00:13:27,840 Speaker 2: get home and he'll sit in the driveway. 299 00:13:28,520 --> 00:13:32,480 Speaker 1: Four Ever, No, that's not true. I take a lot 300 00:13:32,520 --> 00:13:35,000 Speaker 1: of phone calls when I drive, and in many cases 301 00:13:35,400 --> 00:13:37,720 Speaker 1: I'm still on the phone call. I don't just sit 302 00:13:37,840 --> 00:13:39,959 Speaker 1: in the in the driveway. I also love it because 303 00:13:40,000 --> 00:13:41,920 Speaker 1: when I get home, the kids all run out and 304 00:13:41,960 --> 00:13:43,760 Speaker 1: come to the car. So a lot of times, even 305 00:13:43,800 --> 00:13:45,280 Speaker 1: if I am on a phone call, put James on 306 00:13:45,320 --> 00:13:45,640 Speaker 1: my lap. 307 00:13:45,720 --> 00:13:46,600 Speaker 2: Can you stop? 308 00:13:47,320 --> 00:13:49,640 Speaker 1: Oh just the other night, James, when I was on 309 00:13:49,720 --> 00:13:52,719 Speaker 1: with my mother after the city council meeting, James comes 310 00:13:52,760 --> 00:13:54,760 Speaker 1: running out I put him on my lap, I let 311 00:13:54,840 --> 00:13:55,280 Speaker 1: him drive. 312 00:13:55,320 --> 00:13:59,480 Speaker 2: I back up in the driveway, all right, regardless, I mean, yes, you, yes, okay. 313 00:13:59,320 --> 00:14:00,920 Speaker 1: I let my five year old drive. Is really what 314 00:14:00,920 --> 00:14:01,640 Speaker 1: it's coming down to. 315 00:14:01,960 --> 00:14:04,000 Speaker 2: No, but anyway, I do that too. But it's but 316 00:14:04,040 --> 00:14:06,720 Speaker 2: then this is what instead of I let you sit 317 00:14:06,720 --> 00:14:08,439 Speaker 2: out there, because I'll peek out the window and I'll 318 00:14:08,440 --> 00:14:09,920 Speaker 2: see you're on the phone. So I just let it be. 319 00:14:10,559 --> 00:14:13,080 Speaker 2: I will sit in my car. I can't. I'm not 320 00:14:13,160 --> 00:14:17,199 Speaker 2: even parked for thirty seconds, and you're opening the garage 321 00:14:17,240 --> 00:14:19,320 Speaker 2: to see what I'm doing and why I'm not inside 322 00:14:19,360 --> 00:14:19,920 Speaker 2: that How. 323 00:14:19,760 --> 00:14:22,280 Speaker 1: It's coincidence that I happen to be opening your garage 324 00:14:22,320 --> 00:14:25,400 Speaker 1: at the same time every and because you're not, you're 325 00:14:25,440 --> 00:14:28,520 Speaker 1: in your car scrolling through somebody's random Instagram story, Like, 326 00:14:28,560 --> 00:14:32,560 Speaker 1: oh my god, Nancy uses she uses that mascara. 327 00:14:32,840 --> 00:14:34,760 Speaker 2: You make it out like I'm an idiot. You think 328 00:14:34,800 --> 00:14:35,840 Speaker 2: that's what I do on my phone. 329 00:14:35,920 --> 00:14:37,640 Speaker 1: I don't know. I just decided to make that one up. 330 00:14:37,640 --> 00:14:41,080 Speaker 1: But Nancy does us good mascara. Okay, No, but I 331 00:14:41,120 --> 00:14:43,240 Speaker 1: will say this, so, coming from this six to seventh story, 332 00:14:43,240 --> 00:14:45,600 Speaker 1: I don't know how we got in Nancy's mascara. Is 333 00:14:45,760 --> 00:14:50,280 Speaker 1: that how something can just become and go so viral 334 00:14:50,560 --> 00:14:51,640 Speaker 1: and create. 335 00:14:51,760 --> 00:14:54,479 Speaker 2: Like like a phenomenon. It is worldwide. 336 00:14:54,560 --> 00:14:57,960 Speaker 1: And so last night, so Crackerbell. We've talked about Crackerbell 337 00:14:58,000 --> 00:15:01,240 Speaker 1: at length, multiple episodes about how you know, crackerbrel sales 338 00:15:01,280 --> 00:15:03,640 Speaker 1: dropped and their stock price dropped, et cetera, and everybody 339 00:15:03,680 --> 00:15:06,000 Speaker 1: was arguing about the cultural reasons behind why they made 340 00:15:06,000 --> 00:15:09,320 Speaker 1: the moves that they did to redesign Crackerbell. Well, somebody 341 00:15:09,360 --> 00:15:12,520 Speaker 1: posted a tweet and it said and it was a 342 00:15:12,520 --> 00:15:14,800 Speaker 1: fake image of a Crackerbell connected to the East wing 343 00:15:14,800 --> 00:15:16,160 Speaker 1: of the White House. And now like, I can't believe 344 00:15:16,160 --> 00:15:17,680 Speaker 1: that Trump is turning the East wing of the White 345 00:15:17,720 --> 00:15:21,120 Speaker 1: House into a cracker Bell. Crackerbell re quotes that and 346 00:15:21,160 --> 00:15:24,000 Speaker 1: they put, you definitely don't want us to get anywhere 347 00:15:24,040 --> 00:15:28,000 Speaker 1: near a redesign. Hilarious. We're super funny, super funny self 348 00:15:28,040 --> 00:15:31,400 Speaker 1: deprecation leaning into the fact that everybody's angry at cracker Bell. Yeah, 349 00:15:31,840 --> 00:15:33,480 Speaker 1: and the comments I went through, first of all, it 350 00:15:33,520 --> 00:15:36,000 Speaker 1: has like ten million, fifteen million views and impressions, and 351 00:15:36,040 --> 00:15:39,120 Speaker 1: I read through the comments and everyone's like, your backcracker Bell. 352 00:15:39,240 --> 00:15:41,520 Speaker 1: I am now going to eat at Crackerbrel like you 353 00:15:41,560 --> 00:15:44,160 Speaker 1: have saved yourself. They thought that that one tweet was 354 00:15:44,200 --> 00:15:48,680 Speaker 1: so funny, how they operated with humility, leaned into the issue. 355 00:15:49,200 --> 00:15:51,480 Speaker 1: Wouldn't it be funny if now like cracker barrel sales 356 00:15:51,520 --> 00:15:52,960 Speaker 1: go up just because of one virus. 357 00:15:53,040 --> 00:15:55,360 Speaker 2: I want to see this. I bet they did. I 358 00:15:55,360 --> 00:15:56,480 Speaker 2: wish they would tell us. 359 00:15:56,560 --> 00:15:59,520 Speaker 1: It was almost as if people wanted to continue supporting Crackerberell, 360 00:15:59,560 --> 00:16:02,640 Speaker 1: but they like they couldn't anymore, and now cracker Bell 361 00:16:02,760 --> 00:16:05,240 Speaker 1: was like funny and hip because of their post and 362 00:16:05,600 --> 00:16:06,440 Speaker 1: go back to cracker Bell. 363 00:16:06,560 --> 00:16:08,320 Speaker 2: I appreciated the quote tweet. 364 00:16:08,840 --> 00:16:10,440 Speaker 1: I did too, I mean lean into it, like too 365 00:16:10,520 --> 00:16:13,240 Speaker 1: often we make mistakes and then we're constantly trying to 366 00:16:13,360 --> 00:16:16,160 Speaker 1: spin yeah and spin pr as to like why we 367 00:16:16,200 --> 00:16:17,760 Speaker 1: made the mistake, just say, hey, we screwed up. 368 00:16:17,840 --> 00:16:19,920 Speaker 2: Yeah, we messed up. And that's I feel like people 369 00:16:19,920 --> 00:16:22,800 Speaker 2: they don't like to admit that they're wrong, you know 370 00:16:22,840 --> 00:16:23,240 Speaker 2: what I mean? 371 00:16:23,320 --> 00:16:25,600 Speaker 1: Well, and people like especially corporations, Yeah. 372 00:16:25,560 --> 00:16:27,560 Speaker 2: Yeah, like they don't want to say that they were wrong. 373 00:16:27,640 --> 00:16:30,080 Speaker 2: You know, it takes a lot to admit that. 374 00:16:30,360 --> 00:16:33,360 Speaker 1: Well. I think people they they see it as like, well, 375 00:16:33,480 --> 00:16:36,360 Speaker 1: if we give in to all the bots and they 376 00:16:36,360 --> 00:16:38,200 Speaker 1: call them bots. But we talked about this in the past, 377 00:16:38,200 --> 00:16:40,480 Speaker 1: but they're not bots. But if we give into the 378 00:16:40,480 --> 00:16:43,360 Speaker 1: the loud, you know, the peanut gallery, well then we're 379 00:16:43,400 --> 00:16:45,480 Speaker 1: forever going to be controlled by the peanut gallery. But 380 00:16:45,520 --> 00:16:48,320 Speaker 1: sometimes it's like, you know what, sometimes the peanut gallery 381 00:16:48,320 --> 00:16:51,320 Speaker 1: can be right. Sometimes we have a peanut gallery at 382 00:16:51,360 --> 00:16:54,440 Speaker 1: our house there and they're always right. I'm actually sometimes 383 00:16:54,440 --> 00:16:55,840 Speaker 1: part of the peanut gallery is that? 384 00:16:56,200 --> 00:16:57,200 Speaker 2: Is that our kids? 385 00:16:57,440 --> 00:16:59,160 Speaker 1: Me and the kids. Yeah, it's me and the kids. 386 00:16:59,720 --> 00:17:01,960 Speaker 1: What the fork, Lauren? What you got this week for 387 00:17:02,040 --> 00:17:03,200 Speaker 1: YOURTF story? 388 00:17:03,560 --> 00:17:09,520 Speaker 2: So there's ant fermented yogurt at a Michelin star restaurant. 389 00:17:09,720 --> 00:17:11,200 Speaker 1: God, of course it's Michelin Star. 390 00:17:11,400 --> 00:17:14,000 Speaker 2: Well like why okay, so let me just read a 391 00:17:14,040 --> 00:17:14,720 Speaker 2: little bit of this. 392 00:17:15,240 --> 00:17:15,480 Speaker 1: Wow. 393 00:17:15,520 --> 00:17:21,720 Speaker 2: So Michelin starred restaurant serves yogurt with ancient recipe using ants, 394 00:17:22,119 --> 00:17:25,679 Speaker 2: Like the team showed that bacteria, acids and enzymes in 395 00:17:25,800 --> 00:17:29,760 Speaker 2: ants can kickstart the fermentation process that turns milk into yogurt. 396 00:17:30,080 --> 00:17:32,320 Speaker 1: Why don't we just do it normally? Like why do 397 00:17:32,320 --> 00:17:34,800 Speaker 1: you use ant? That scares me that we're using ant bacteria? 398 00:17:34,840 --> 00:17:36,640 Speaker 1: What if that's like an ant that has some sort 399 00:17:36,640 --> 00:17:39,479 Speaker 1: of like ant version of a venereal disease. 400 00:17:39,640 --> 00:17:41,600 Speaker 2: Well, they say their work, published in the Journal of 401 00:17:41,760 --> 00:17:45,920 Speaker 2: Ice Science, highlights how traditional practices can inspire new approaches 402 00:17:45,960 --> 00:17:47,040 Speaker 2: to food science. 403 00:17:47,720 --> 00:17:49,800 Speaker 1: That's not a new approach to food science. And leave 404 00:17:49,800 --> 00:17:52,080 Speaker 1: it to Michelin to be like, you get a Michelin 405 00:17:52,119 --> 00:17:55,080 Speaker 1: Star for that that is so avant gode, that is 406 00:17:55,160 --> 00:17:59,800 Speaker 1: just so out there, Like Michelin, the Michelin Star system 407 00:17:59,840 --> 00:18:04,600 Speaker 1: has such respect, and I feel as if they've been politicized, 408 00:18:04,760 --> 00:18:07,560 Speaker 1: same with like all these coffee stuff like all of this. 409 00:18:07,680 --> 00:18:11,480 Speaker 1: It's like, oh, well your restaurant. Oh so your restaurant 410 00:18:11,560 --> 00:18:15,679 Speaker 1: is breaking through generations of systemic X, Y and Z 411 00:18:15,880 --> 00:18:20,320 Speaker 1: and you're making a cheese pop over out of all 412 00:18:20,400 --> 00:18:22,400 Speaker 1: of that anger and hate like Michelin Star. 413 00:18:22,760 --> 00:18:26,320 Speaker 2: Yeah, so what they would do they would like basically 414 00:18:26,359 --> 00:18:29,680 Speaker 2: bury a jar right of milk and they would cover 415 00:18:29,760 --> 00:18:32,800 Speaker 2: it with so it would be in an ant mound 416 00:18:32,960 --> 00:18:36,200 Speaker 2: to ferment overnight, and then the next morning they would 417 00:18:36,240 --> 00:18:39,439 Speaker 2: notice that it was started to thicken and smell sour. 418 00:18:39,720 --> 00:18:41,440 Speaker 1: Maybe there's that's maybe that's not a good thing. 419 00:18:41,840 --> 00:18:44,080 Speaker 2: I mean, it's a little I don't know. I wouldn't I. 420 00:18:44,040 --> 00:18:45,600 Speaker 1: Wouldn't know you're describing a boil. 421 00:18:47,119 --> 00:18:51,320 Speaker 2: I wouldn't They say one type of bacteria was similar 422 00:18:51,359 --> 00:18:53,399 Speaker 2: to that found in commercial sour dough. 423 00:18:54,160 --> 00:18:56,440 Speaker 1: Okay, well you can say that, like any type, there's 424 00:18:56,480 --> 00:18:58,560 Speaker 1: good bacteria and there's bad bacteria. It doesn't mean that 425 00:18:58,600 --> 00:19:00,920 Speaker 1: you got a I just for some reason don't consider 426 00:19:01,040 --> 00:19:02,760 Speaker 1: ants to have good back to heia. They're walking around 427 00:19:02,800 --> 00:19:04,280 Speaker 1: on the ground, Like I said, how do you know 428 00:19:04,320 --> 00:19:06,920 Speaker 1: this isn't some ants std that we're putting inside there? 429 00:19:06,920 --> 00:19:08,480 Speaker 1: And it's just disgusting. 430 00:19:08,800 --> 00:19:11,400 Speaker 2: I would I wouldn't try it. That just seems weird. 431 00:19:11,400 --> 00:19:14,200 Speaker 2: I would just I'll eat yogurt, regular yogurt. 432 00:19:15,200 --> 00:19:16,720 Speaker 1: What do you want to eighty six this week? 433 00:19:17,280 --> 00:19:21,360 Speaker 2: Oh my gosh, so barrel jeans. I feel like they're 434 00:19:21,400 --> 00:19:25,840 Speaker 2: slowly fading away, But like I've seen a couple women 435 00:19:25,920 --> 00:19:29,119 Speaker 2: out and about wearing them. It reminds me if I 436 00:19:29,200 --> 00:19:31,160 Speaker 2: was about to get in a duel, like I'm about 437 00:19:31,200 --> 00:19:34,760 Speaker 2: to pull out my my pistol. I'm wearing chaps, you 438 00:19:34,760 --> 00:19:36,200 Speaker 2: know what I mean? You know, when like they're walking, 439 00:19:36,280 --> 00:19:39,640 Speaker 2: it's like and they turn around, but their pants look big. 440 00:19:39,880 --> 00:19:42,840 Speaker 2: Like That's how every time I see somebody wearing. 441 00:19:42,640 --> 00:19:44,720 Speaker 1: These bands, I just imagined you in a duel with 442 00:19:44,760 --> 00:19:49,800 Speaker 1: Buttler's chaps on. But that's why I call them stovepipe cheese. 443 00:19:49,880 --> 00:19:50,720 Speaker 2: Have you seen them? 444 00:19:50,800 --> 00:19:51,400 Speaker 1: Yeah, they're huge. 445 00:19:51,440 --> 00:19:53,439 Speaker 2: I used to worry, like go to the side and 446 00:19:53,560 --> 00:19:59,280 Speaker 2: they drink so unflat. No, No, they're like specifically designed 447 00:19:59,320 --> 00:20:01,800 Speaker 2: so they like bold out at the sid It's like 448 00:20:02,240 --> 00:20:04,640 Speaker 2: it's the weirdest design ever. I don't know why it's 449 00:20:04,640 --> 00:20:06,919 Speaker 2: a thing or why it's trendy. It's so unflattering. 450 00:20:06,960 --> 00:20:09,040 Speaker 1: All right, Fine, So if they have if barrel barrel 451 00:20:09,040 --> 00:20:12,440 Speaker 1: house jeans or a barrel jeans, I don't know, barrelhouse blues. 452 00:20:12,520 --> 00:20:14,639 Speaker 1: If beryl jeans are back in, then I'm bringing cargo 453 00:20:14,680 --> 00:20:15,280 Speaker 1: shorts back. 454 00:20:15,600 --> 00:20:17,520 Speaker 2: I think cargo shorts have never left. 455 00:20:17,760 --> 00:20:19,800 Speaker 1: That's not true. Cargo shorts have left, and I think 456 00:20:19,800 --> 00:20:20,560 Speaker 1: they need to come back. 457 00:20:20,680 --> 00:20:24,520 Speaker 2: Yeah. I see like men in their like sixties wearing them. 458 00:20:24,760 --> 00:20:26,720 Speaker 1: Well, they just those are the same cargo shorts that 459 00:20:26,720 --> 00:20:29,040 Speaker 1: they wore in the nineties, so they were probably in 460 00:20:29,080 --> 00:20:33,480 Speaker 1: their twenties, so that's probably why they're still wearing them. Okay, 461 00:20:33,480 --> 00:20:35,320 Speaker 1: so let's see what do I want to see? 462 00:20:35,440 --> 00:20:35,640 Speaker 2: End? 463 00:20:35,720 --> 00:20:39,000 Speaker 1: I would say bay leaves. Why Well, I read this 464 00:20:39,080 --> 00:20:41,320 Speaker 1: story about a review where this lady goes, and this 465 00:20:41,400 --> 00:20:43,240 Speaker 1: goes back to my eighty six and eight yelp from 466 00:20:43,240 --> 00:20:46,879 Speaker 1: the last episode, is she I went to the restaurant. 467 00:20:46,920 --> 00:20:48,240 Speaker 1: It was great. I was so excited and I was 468 00:20:48,240 --> 00:20:51,600 Speaker 1: eating the beans and there was a leaf in the beans, right, 469 00:20:51,920 --> 00:20:55,200 Speaker 1: So they came across a bay leaf. And then the 470 00:20:55,240 --> 00:20:57,520 Speaker 1: restaurant owner wrote back a response and was like, well, 471 00:20:57,640 --> 00:21:00,560 Speaker 1: that's that is indicative of the fact that we cook 472 00:21:00,560 --> 00:21:02,280 Speaker 1: our beans fresh, which is a good thing. You have 473 00:21:02,280 --> 00:21:04,560 Speaker 1: absolutely no idea what you're eating. So I agree with 474 00:21:04,560 --> 00:21:07,320 Speaker 1: the restaurant tour in that regard. However, I just think 475 00:21:07,400 --> 00:21:09,800 Speaker 1: bay leaves in general, you learn to cook with bay 476 00:21:09,840 --> 00:21:13,640 Speaker 1: leaves and various soups and sauces. Stock specifically, people over 477 00:21:13,800 --> 00:21:17,399 Speaker 1: use bay leaves. Have you ever boiled like a small 478 00:21:17,440 --> 00:21:20,159 Speaker 1: amount of liquid with multiple bay leaves in it? No, 479 00:21:20,520 --> 00:21:23,280 Speaker 1: It's disgusting. It is so floral. It's like going out 480 00:21:23,280 --> 00:21:26,399 Speaker 1: to a rose garden and like like just having a 481 00:21:26,880 --> 00:21:28,920 Speaker 1: rotten rose sit on your face and then eating it. 482 00:21:29,440 --> 00:21:31,200 Speaker 2: Well, you should only put like one in there right now. 483 00:21:31,160 --> 00:21:34,200 Speaker 1: Should put one in like eight to ten gallons of soup. 484 00:21:35,160 --> 00:21:37,040 Speaker 1: I don't even like bay leaves. I would break a 485 00:21:37,040 --> 00:21:38,520 Speaker 1: little piece of a bay leaf off if I was 486 00:21:38,520 --> 00:21:41,159 Speaker 1: cooking into my beans. It is aromatic, it's certainly floral. 487 00:21:41,160 --> 00:21:43,440 Speaker 1: But I just think in general, cooking bay leaves and 488 00:21:43,640 --> 00:21:45,160 Speaker 1: komen need to go well. 489 00:21:45,240 --> 00:21:47,639 Speaker 2: I learn in culinary school that bay leaves can be 490 00:21:47,720 --> 00:21:50,080 Speaker 2: very dangerous if you swallow them, you could choke on them. 491 00:21:50,280 --> 00:21:51,560 Speaker 1: Heck's gonna swallow a full way. 492 00:21:51,600 --> 00:21:53,600 Speaker 2: But if somebody's not paying attention. 493 00:21:53,600 --> 00:21:55,639 Speaker 1: Okay, a bay leaf would fill your whole mouth. 494 00:21:55,800 --> 00:21:58,560 Speaker 2: What if there's like a broken bay leaf. I'm just 495 00:21:58,600 --> 00:21:59,520 Speaker 2: trying to you know. 496 00:21:59,640 --> 00:22:02,480 Speaker 1: Maybe a yeah, but I don't know. Okay, fine, you 497 00:22:02,480 --> 00:22:04,840 Speaker 1: could swallow anything the wrong way, then all food is dangerous. 498 00:22:04,840 --> 00:22:07,399 Speaker 2: But oh, you just want to argue with me today. 499 00:22:07,480 --> 00:22:09,159 Speaker 1: I know this is well, it's a podcast, that's what 500 00:22:09,200 --> 00:22:12,120 Speaker 1: you're supposed to do. Well, It's also it's like it's 501 00:22:12,160 --> 00:22:14,879 Speaker 1: like the person who said they swallowed the finger that 502 00:22:14,920 --> 00:22:16,280 Speaker 1: they found in their Wendy's. 503 00:22:15,920 --> 00:22:18,600 Speaker 2: Chili and that was a total lie. 504 00:22:18,720 --> 00:22:21,040 Speaker 1: Oh that's right, that was a lie. We need to 505 00:22:21,040 --> 00:22:21,720 Speaker 1: bring back the wit. 506 00:22:21,720 --> 00:22:22,440 Speaker 2: It was it a lie? 507 00:22:22,560 --> 00:22:25,480 Speaker 1: Yeah, the person apparently like found the finger. I just 508 00:22:25,520 --> 00:22:27,080 Speaker 1: want to know where they found the finger. Did they 509 00:22:27,080 --> 00:22:29,000 Speaker 1: like buy it from a hospital or something like where 510 00:22:29,040 --> 00:22:32,840 Speaker 1: do you find a finger? Yeah, like walking around and 511 00:22:32,840 --> 00:22:34,880 Speaker 1: be like, oh, look a quarter head's up. Oh pick 512 00:22:34,880 --> 00:22:37,399 Speaker 1: it up? No, tails down, don't care a finger. 513 00:22:38,000 --> 00:22:40,320 Speaker 2: The finger in the Wendy's Chili incident was a two 514 00:22:40,359 --> 00:22:44,080 Speaker 2: thousand and five hoax in which a woman Anna Ayala 515 00:22:44,240 --> 00:22:46,399 Speaker 2: claimed to find a human finger in her chili, but 516 00:22:46,480 --> 00:22:50,720 Speaker 2: she and her husband Jamie Placentia had planted it where 517 00:22:50,840 --> 00:22:54,160 Speaker 2: the severed finger came from a coworker who had lost 518 00:22:54,200 --> 00:22:57,439 Speaker 2: it in an industrial accident, and they bought it for 519 00:22:57,520 --> 00:22:59,880 Speaker 2: one hundred dollars to use in the scam. 520 00:23:00,440 --> 00:23:03,080 Speaker 1: The guy sold his finger for one hundred bucks, so 521 00:23:03,240 --> 00:23:06,480 Speaker 1: was he also like he was probably taking some of 522 00:23:06,480 --> 00:23:09,600 Speaker 1: the money. That's some serious investigation to get to the 523 00:23:09,640 --> 00:23:10,159 Speaker 1: bottom of that. 524 00:23:10,840 --> 00:23:15,440 Speaker 2: So yeah. The incident obviously created a media firestorm and 525 00:23:15,520 --> 00:23:18,679 Speaker 2: caused Wendy's to lose millions in sales. So they were 526 00:23:18,720 --> 00:23:22,639 Speaker 2: both convicted of felony, grand theft and conspiracy, and they 527 00:23:22,640 --> 00:23:27,359 Speaker 2: were sentenced to a lengthy prison time order to pay 528 00:23:27,480 --> 00:23:29,160 Speaker 2: millions in restitution to Wendy's. 529 00:23:29,240 --> 00:23:31,200 Speaker 1: All right, I don't know how much time they should 530 00:23:31,200 --> 00:23:34,879 Speaker 1: spend in prison for that, Like, I definitely think they 531 00:23:34,880 --> 00:23:35,960 Speaker 1: should be punished. 532 00:23:35,600 --> 00:23:37,280 Speaker 2: And they could never go back to Wendy's. But how 533 00:23:37,280 --> 00:23:41,000 Speaker 2: do they know they can never, like, you can never 534 00:23:41,080 --> 00:23:42,480 Speaker 2: come back, swipe. 535 00:23:41,960 --> 00:23:44,200 Speaker 1: Your credit card and they're like there here. 536 00:23:44,800 --> 00:23:46,159 Speaker 2: Maybe they have an alert. I don't know. 537 00:23:46,320 --> 00:23:48,959 Speaker 1: That is absolutely wild, but I will say this, I like, 538 00:23:49,560 --> 00:23:53,639 Speaker 1: those damages are probably infinite because there I imagine to 539 00:23:53,720 --> 00:23:55,720 Speaker 1: this day there's still people who don't know that the 540 00:23:55,800 --> 00:23:58,840 Speaker 1: story was fake and don'tat the Wendy's Chili or Wendy's period. 541 00:23:58,960 --> 00:24:00,760 Speaker 2: Yeah. I mean even right now you were like, oh, yeah, 542 00:24:00,760 --> 00:24:01,240 Speaker 2: it was fake. 543 00:24:01,880 --> 00:24:03,600 Speaker 1: Yeah, I love Wendy's chili. 544 00:24:03,600 --> 00:24:05,600 Speaker 2: Actually, Wendy has some good chili. 545 00:24:05,680 --> 00:24:07,480 Speaker 1: Wendy's does have good chili. I don't know what it is. 546 00:24:07,520 --> 00:24:09,600 Speaker 1: I don't know if it's the MSG, whatever it is. 547 00:24:09,640 --> 00:24:11,680 Speaker 1: If I'm going to indulge in a little fast food 548 00:24:11,760 --> 00:24:13,040 Speaker 1: and what's some Wendy's chili? 549 00:24:13,280 --> 00:24:14,520 Speaker 2: What is your favorite fast food? 550 00:24:14,680 --> 00:24:17,000 Speaker 1: My? Oh well, she just hit me from the side 551 00:24:17,040 --> 00:24:21,880 Speaker 1: on this one, Nancy, I would say my favorite fast food, Well, 552 00:24:21,920 --> 00:24:24,159 Speaker 1: that depends, right, Like, I mean, I actually like the 553 00:24:24,200 --> 00:24:27,640 Speaker 1: shakesheck Burger generally speaking, but I think price to quality 554 00:24:27,680 --> 00:24:29,600 Speaker 1: to value would be in and out. Although I don't 555 00:24:29,640 --> 00:24:32,119 Speaker 1: love the in and out bun. I just think pricing wise, 556 00:24:32,280 --> 00:24:34,159 Speaker 1: So it all depends on how you judge it. If 557 00:24:34,200 --> 00:24:37,600 Speaker 1: you're talking fast food, like cheap food that you get quickly, 558 00:24:37,960 --> 00:24:41,840 Speaker 1: any kind of Tacorea style burrito or taco up in 559 00:24:41,960 --> 00:24:45,919 Speaker 1: La for me is going to do it. 560 00:24:46,160 --> 00:24:53,520 Speaker 2: Yeah, what about you? I love the in and out burger, 561 00:24:53,920 --> 00:24:57,200 Speaker 2: but you have to do it with chopped chili's and 562 00:24:57,520 --> 00:25:02,040 Speaker 2: camelized onions. You have to. Don't love the fries in 563 00:25:02,080 --> 00:25:05,640 Speaker 2: and out They're always so like lad and soggy. I 564 00:25:05,760 --> 00:25:09,399 Speaker 2: like the fries at what is it? Five guys? 565 00:25:09,760 --> 00:25:12,040 Speaker 1: Five guys have the best fries in math. They're cooked fresh. 566 00:25:12,040 --> 00:25:13,639 Speaker 1: But why aren't they cooking them in beef towel? 567 00:25:13,840 --> 00:25:15,280 Speaker 2: What are they cooking them in. 568 00:25:15,200 --> 00:25:20,800 Speaker 1: The peanut oil? No? No, that's that's that's inflammatory. 569 00:25:20,840 --> 00:25:22,080 Speaker 2: Come on, that horrible? 570 00:25:22,480 --> 00:25:24,120 Speaker 1: You know? Oh I meant to say this too as 571 00:25:24,160 --> 00:25:27,000 Speaker 1: my eighty six. You know what I want? Bowls? Why 572 00:25:27,040 --> 00:25:29,720 Speaker 1: is everything bowls? Everything is a bowl nowadays. My black 573 00:25:29,760 --> 00:25:31,760 Speaker 1: bean bowl, my chicken bowl, my rice bowl, this bowl, 574 00:25:31,760 --> 00:25:35,160 Speaker 1: that bowl. That restaurants or bowls, yet we have one. 575 00:25:35,320 --> 00:25:36,960 Speaker 1: We have one bowl on the menu, but not everything 576 00:25:37,000 --> 00:25:39,119 Speaker 1: has to be a bowl. I feel like everything is 577 00:25:39,160 --> 00:25:40,920 Speaker 1: a bowl, taco bowl, and cheeseburger bowl. 578 00:25:41,040 --> 00:25:42,800 Speaker 2: They clearly did some research on that. 579 00:25:43,280 --> 00:25:45,160 Speaker 1: Yeah, but it's one of those things where it's like, Okay. 580 00:25:45,200 --> 00:25:46,920 Speaker 1: In the beginning, it was like, nice, I'm not eating 581 00:25:46,960 --> 00:25:48,280 Speaker 1: it in a bun or in a rap and I 582 00:25:48,280 --> 00:25:49,639 Speaker 1: can eat it out of a bowl and mix all 583 00:25:49,640 --> 00:25:52,680 Speaker 1: my ingredients together. But then everything became a bowl, pizza bowl. 584 00:25:53,119 --> 00:25:53,840 Speaker 2: There's a pizza bowl. 585 00:25:53,920 --> 00:25:55,679 Speaker 1: There's a pizza bowl. I don't know where it is, 586 00:25:55,680 --> 00:25:56,480 Speaker 1: but there's a pizza bowl. 587 00:25:56,480 --> 00:25:57,399 Speaker 2: I'm sure there is somewhere. 588 00:25:58,080 --> 00:26:01,080 Speaker 1: Do you like soup and sour dough in like haul 589 00:26:01,160 --> 00:26:05,040 Speaker 1: it out sour though? No, yes you do. 590 00:26:05,760 --> 00:26:08,800 Speaker 2: I like them separately. I wouldn't eat it out of 591 00:26:08,800 --> 00:26:11,320 Speaker 2: a sour to bowl bread bowl. 592 00:26:11,680 --> 00:26:15,000 Speaker 1: Okay, all right, so what's the sharpened skills today? 593 00:26:15,240 --> 00:26:15,800 Speaker 2: You tell me? 594 00:26:16,000 --> 00:26:18,720 Speaker 1: Okay, I like to do. I've been really good here 595 00:26:18,760 --> 00:26:21,119 Speaker 1: I am. I'm like, I hate bowls, but I love 596 00:26:21,320 --> 00:26:23,679 Speaker 1: the following, which is similar to a bowl. It's just flat. 597 00:26:23,800 --> 00:26:25,960 Speaker 1: I've been enjoying like the sheep pan cooking lately. 598 00:26:26,560 --> 00:26:26,800 Speaker 2: Why. 599 00:26:27,000 --> 00:26:29,280 Speaker 1: Because it's clean, it's easy to clean up, it's quick, 600 00:26:29,520 --> 00:26:32,000 Speaker 1: it's relatively cheap. It's also easy to do where you're 601 00:26:32,040 --> 00:26:34,280 Speaker 1: taking like if you do sheep pan fijtas right, like 602 00:26:34,359 --> 00:26:37,199 Speaker 1: throw chicken and peppers and onions and garlic and all 603 00:26:37,200 --> 00:26:39,480 Speaker 1: the different flavors together and just roast it in the 604 00:26:39,520 --> 00:26:41,760 Speaker 1: oven at the last few minutes, throwing the tortillas on 605 00:26:41,800 --> 00:26:44,040 Speaker 1: top of it and let it steam underneath the flavors. 606 00:26:44,280 --> 00:26:47,359 Speaker 1: And you've got all your fijidas and your setups or 607 00:26:47,359 --> 00:26:49,600 Speaker 1: your tacos or whatever you're doing right there on one 608 00:26:49,640 --> 00:26:50,080 Speaker 1: sheet pan. 609 00:26:50,320 --> 00:26:51,000 Speaker 2: I'm hungry. 610 00:26:51,240 --> 00:26:52,480 Speaker 1: Yeah, I know it is lunchtime. 611 00:26:53,160 --> 00:26:55,880 Speaker 2: Okay, that's a great, that's a great sharpen your skill. 612 00:26:55,760 --> 00:26:58,080 Speaker 1: Yeah, little sheepan, this sheeppan that do it with fish. 613 00:26:58,240 --> 00:27:00,560 Speaker 1: People are afraid to cook seafood because they think it's 614 00:27:00,560 --> 00:27:02,480 Speaker 1: gonna stick. They think it's gonna stink. They think they're 615 00:27:02,480 --> 00:27:03,359 Speaker 1: gonna undercook it. 616 00:27:03,440 --> 00:27:04,560 Speaker 2: I mean it does kind of stink. 617 00:27:05,240 --> 00:27:07,040 Speaker 1: Now if you're cooking the everyone says that. 618 00:27:07,080 --> 00:27:09,439 Speaker 2: Okay, no, no, no. Even when we're making like salmon 619 00:27:09,480 --> 00:27:12,320 Speaker 2: at home, I could tell what you're cooking. When I'm upstairs, 620 00:27:12,720 --> 00:27:14,000 Speaker 2: I'm like Andrew's making salmon. 621 00:27:14,080 --> 00:27:16,280 Speaker 1: That's usually because I come from the restaurant, leave my 622 00:27:16,280 --> 00:27:18,040 Speaker 1: clothes upstairs after I change. 623 00:27:17,880 --> 00:27:20,400 Speaker 2: And they're stinking it kind of makes its way upstairs. 624 00:27:20,480 --> 00:27:22,240 Speaker 1: All right, that's fine, but still that's just the way 625 00:27:22,240 --> 00:27:24,560 Speaker 1: in which our air ventilates in the house. But with seafood, 626 00:27:24,600 --> 00:27:26,840 Speaker 1: that's a great way to utilize the Sheeppan cooking is 627 00:27:26,880 --> 00:27:29,879 Speaker 1: because people who are apprehensive to cook seafood because of 628 00:27:29,880 --> 00:27:32,119 Speaker 1: the skill element. The best way to do it is 629 00:27:32,160 --> 00:27:34,480 Speaker 1: to just take your seafood, hit it with a little 630 00:27:34,480 --> 00:27:37,080 Speaker 1: bit of extravergin olive oil, butter, beef tallow, rub it 631 00:27:37,119 --> 00:27:39,479 Speaker 1: down with whatever your favorite season or fresh herb is, 632 00:27:39,600 --> 00:27:41,439 Speaker 1: hit it with a dash of vinegar, and then just 633 00:27:41,480 --> 00:27:42,840 Speaker 1: throw it on a sheet pan and cook it in 634 00:27:42,880 --> 00:27:45,760 Speaker 1: the oven. Gently cooked seafood is the best way to 635 00:27:45,800 --> 00:27:49,040 Speaker 1: get into seafood cookery. And then when you add your 636 00:27:49,080 --> 00:27:51,800 Speaker 1: vegetables or you add your sides to that same sheetpan, 637 00:27:52,040 --> 00:27:54,879 Speaker 1: a lot of the flavors from the seafood infuse into 638 00:27:54,920 --> 00:27:56,960 Speaker 1: what you're cooking it with, and it's the perfect way 639 00:27:56,960 --> 00:27:59,920 Speaker 1: to get into cooking seafood. So single sheet pan cooking 640 00:28:00,080 --> 00:28:04,000 Speaker 1: on the seafood is certainly the way to go. I've 641 00:28:04,080 --> 00:28:08,160 Speaker 1: also been talking in the past week about cooking kind 642 00:28:08,200 --> 00:28:11,480 Speaker 1: of style cooking, right, so beans and rice and Chernovich 643 00:28:11,600 --> 00:28:13,800 Speaker 1: was posting a lot about this and shredded meats, and 644 00:28:13,840 --> 00:28:16,560 Speaker 1: I think we're getting into that season, and somebody had 645 00:28:16,600 --> 00:28:18,560 Speaker 1: asked me, like, what types of meat should I be 646 00:28:18,640 --> 00:28:22,359 Speaker 1: using to cook Crockpot's style? All the cuts on the 647 00:28:22,520 --> 00:28:24,840 Speaker 1: end of an animal, right, so the shoulder cuts, the 648 00:28:24,920 --> 00:28:27,160 Speaker 1: leg cuts. Think about the muscles that get a lot 649 00:28:27,200 --> 00:28:29,720 Speaker 1: of movement, those are the ones that you want to braize. 650 00:28:30,200 --> 00:28:31,720 Speaker 1: So even if you go to the grocery store and 651 00:28:31,760 --> 00:28:33,399 Speaker 1: it's like chuck and you don't know what chuck is 652 00:28:33,480 --> 00:28:36,119 Speaker 1: besides the neighbor down the road who always leaves as 653 00:28:36,160 --> 00:28:39,120 Speaker 1: garbage cans out there that you would just google, where 654 00:28:39,120 --> 00:28:41,360 Speaker 1: does the chuck come from on the cow? And if 655 00:28:41,400 --> 00:28:43,920 Speaker 1: it comes from the shoulder, comes from the leg, comes 656 00:28:43,920 --> 00:28:46,160 Speaker 1: from the hind quarter or the round, then that's something 657 00:28:46,160 --> 00:28:48,000 Speaker 1: that you do want to braize. If it comes from 658 00:28:48,040 --> 00:28:50,040 Speaker 1: the belly, you also want to braise it because that 659 00:28:50,080 --> 00:28:52,600 Speaker 1: gets a lot of motion. Everything that comes from kind 660 00:28:52,600 --> 00:28:55,080 Speaker 1: of the shoulder to the leg would be your strip 661 00:28:55,120 --> 00:28:57,160 Speaker 1: loin and your strips and the inside of the steer 662 00:28:57,320 --> 00:28:59,480 Speaker 1: that doesn't get much movement, which means it doesn't have 663 00:28:59,520 --> 00:29:01,520 Speaker 1: a lot of cantive tissue to break down and that's 664 00:29:01,560 --> 00:29:04,240 Speaker 1: something that you would cook with quick high heat. Right. 665 00:29:04,280 --> 00:29:07,520 Speaker 1: Your ribis your strip loins, your strip steaks, your tender loins, 666 00:29:07,800 --> 00:29:10,440 Speaker 1: skirt steak, flank steak. These are all the things that 667 00:29:10,480 --> 00:29:13,280 Speaker 1: are in between the you know, the ends of the cow. 668 00:29:13,880 --> 00:29:15,960 Speaker 1: The muscles that get a lot of movement have a 669 00:29:15,960 --> 00:29:19,120 Speaker 1: ton of connective tissue, but also collagen and gelatine, and 670 00:29:19,160 --> 00:29:22,040 Speaker 1: as you slowly braise them, that's what breaks down into 671 00:29:22,080 --> 00:29:25,240 Speaker 1: that beautiful mouthfeel and that meltingly tender bite in a 672 00:29:25,280 --> 00:29:29,040 Speaker 1: traditional crockpot or stew. So tis the season right now, 673 00:29:29,160 --> 00:29:32,680 Speaker 1: especially with beef prices going up to be taking five 674 00:29:32,720 --> 00:29:35,600 Speaker 1: pounds of a chuck, braizing it on a Sunday afternoon, 675 00:29:35,680 --> 00:29:37,920 Speaker 1: or throwing it in a crockpot, getting some rice and 676 00:29:37,960 --> 00:29:41,120 Speaker 1: beans going, and you got meal for three or four days. 677 00:29:41,400 --> 00:29:43,280 Speaker 1: You know, break that down cost per meal and you're 678 00:29:43,280 --> 00:29:45,240 Speaker 1: at like three or four dollars. I want to talk 679 00:29:45,240 --> 00:29:47,800 Speaker 1: about snap benefits. I mean, we could cut down the 680 00:29:47,800 --> 00:29:50,400 Speaker 1: snap benefit expenses just by that technique. 681 00:29:49,960 --> 00:29:52,200 Speaker 2: Alone and have some delicious food. 682 00:29:52,280 --> 00:29:54,400 Speaker 1: You want me to make you some braise meat today? Actually, yes, 683 00:29:54,440 --> 00:29:55,440 Speaker 1: all right, you're gonna get it. 684 00:29:55,680 --> 00:29:58,040 Speaker 2: You're gonna get it. Fun. 685 00:29:58,280 --> 00:30:00,400 Speaker 1: Yeah, that was a good one. I'm excited because coming 686 00:30:00,440 --> 00:30:02,160 Speaker 1: up on our next episodes, we're going to be getting 687 00:30:02,160 --> 00:30:06,719 Speaker 1: really detailed into Thanksgiving cooking and recipes, Holiday cooking and recipes, 688 00:30:07,560 --> 00:30:09,360 Speaker 1: ways in which you can start to incorporate a lot 689 00:30:09,400 --> 00:30:11,200 Speaker 1: of these fall flavors into your food. We're going to 690 00:30:11,240 --> 00:30:13,320 Speaker 1: get into daylight savings because we're going to lose an 691 00:30:13,360 --> 00:30:15,280 Speaker 1: hour of light in the next week or so. 692 00:30:15,600 --> 00:30:18,080 Speaker 2: And isn't it well by the time this airs, I 693 00:30:18,080 --> 00:30:18,800 Speaker 2: think it'll already. 694 00:30:19,360 --> 00:30:21,360 Speaker 1: Don't give away the behind the scenes secrets. Hey, we 695 00:30:21,360 --> 00:30:22,920 Speaker 1: don't know what's going on, but it's going to get 696 00:30:22,960 --> 00:30:25,160 Speaker 1: darker earlier, which means I'm going to turn into a 697 00:30:25,240 --> 00:30:27,680 Speaker 1: vampire much earlier. We're gonna be a lot crankier the 698 00:30:27,720 --> 00:30:31,320 Speaker 1: next time we shoot these episodes. Speaking for yourself, I 699 00:30:31,360 --> 00:30:32,440 Speaker 1: do you're a morning person? 700 00:30:33,520 --> 00:30:35,360 Speaker 2: I just like my mornings alone. 701 00:30:35,960 --> 00:30:39,160 Speaker 1: WHOA Well, on that note, looks like I'm going to 702 00:30:39,200 --> 00:30:40,880 Speaker 1: be sleeping in a hotel tonight. 703 00:30:41,440 --> 00:30:42,480 Speaker 2: Oh my gosh. 704 00:30:42,520 --> 00:30:44,800 Speaker 1: So thank you so much for tuning in. Make sure 705 00:30:44,800 --> 00:30:48,800 Speaker 1: that you follow us on all of your favorite podcast platforms, 706 00:30:49,200 --> 00:30:52,000 Speaker 1: and you can catch us on Instagram. I'm at Andrew 707 00:30:52,040 --> 00:30:54,280 Speaker 1: Gruhl on X I'm at Chef. 708 00:30:54,000 --> 00:30:57,680 Speaker 2: Gruel and on Instagram, I'm at Lauren Underscore Gruel and 709 00:30:57,800 --> 00:30:59,160 Speaker 2: on x at Lauren Girl. 710 00:30:59,560 --> 00:31:01,800 Speaker 1: Send us all all your questions comments eighty six it 711 00:31:02,000 --> 00:31:04,040 Speaker 1: what you want to hear and sharpen your skills. And furthermore, 712 00:31:04,080 --> 00:31:06,760 Speaker 1: we're still looking for the best sandwich shop anywhere and 713 00:31:06,880 --> 00:31:08,720 Speaker 1: everywhere in the United States. That's going to be the 714 00:31:08,720 --> 00:31:14,640 Speaker 1: next series, So hit us up with your ideas.