1 00:00:02,600 --> 00:00:05,520 Speaker 1: Hello everybody, and welcome back to American Gravy. Look this 2 00:00:05,559 --> 00:00:08,840 Speaker 1: is where food meets fun, family, freedom, Lauren Andrew, you 3 00:00:08,920 --> 00:00:11,399 Speaker 1: got it, and flavor meets the absurd. So I'm chef 4 00:00:11,440 --> 00:00:13,760 Speaker 1: Andrew Gruhl and I'm Lauren Gruel, and today we're going 5 00:00:13,800 --> 00:00:16,079 Speaker 1: to be diving into some of the funniest, strangest, most 6 00:00:16,120 --> 00:00:19,079 Speaker 1: mouthwatering food stories, a little bit of politics, everything that's 7 00:00:19,079 --> 00:00:22,160 Speaker 1: making the rounds this week, because, let's face it, food 8 00:00:22,200 --> 00:00:24,600 Speaker 1: news has officially gone off the rails. We've got people 9 00:00:24,640 --> 00:00:27,040 Speaker 1: deep frying ice cream machines. We got the world's most 10 00:00:27,080 --> 00:00:30,200 Speaker 1: expensive grilled cheese. Heck, we've even got a chef who 11 00:00:30,280 --> 00:00:32,960 Speaker 1: accidentally created a viral trend I think I saw with 12 00:00:33,080 --> 00:00:34,040 Speaker 1: pickle cupcakes. 13 00:00:34,479 --> 00:00:36,280 Speaker 2: Ooh, that sounds horrible. 14 00:00:36,520 --> 00:00:39,159 Speaker 1: Have you ever noticed that food stories are getting weirder 15 00:00:39,159 --> 00:00:39,720 Speaker 1: and weirder. 16 00:00:40,120 --> 00:00:42,560 Speaker 3: They are getting weirder and weirder, and I think people 17 00:00:42,560 --> 00:00:45,200 Speaker 3: are just trying to be over the top. They are 18 00:00:45,240 --> 00:00:48,720 Speaker 3: trying to create that viral moment, and so they're just 19 00:00:48,760 --> 00:00:50,400 Speaker 3: doing the most ridiculous things. 20 00:00:50,440 --> 00:00:51,720 Speaker 1: And that's going to be a theme in a lot 21 00:00:51,720 --> 00:00:53,480 Speaker 1: of our stories, is the way in which people keep 22 00:00:53,479 --> 00:00:55,480 Speaker 1: trying to push the limits I mean ten years ago, 23 00:00:55,560 --> 00:00:57,880 Speaker 1: the craziest thing we had was like the double double 24 00:00:57,960 --> 00:01:00,520 Speaker 1: it in and out and now somebody's serving sushi in 25 00:01:00,600 --> 00:01:01,040 Speaker 1: a shoe. 26 00:01:01,160 --> 00:01:03,480 Speaker 2: Oh, it was like the deep fried oreo at the Fair. 27 00:01:03,680 --> 00:01:05,119 Speaker 2: Like that was the craziest thing. 28 00:01:05,280 --> 00:01:06,880 Speaker 1: I never liked that. That's discussion. 29 00:01:06,920 --> 00:01:08,760 Speaker 2: Well, you don't like oreos. 30 00:01:08,280 --> 00:01:09,160 Speaker 1: I don't like fair food. 31 00:01:10,319 --> 00:01:11,880 Speaker 2: You don't not even like the turkey leg. 32 00:01:12,040 --> 00:01:13,880 Speaker 1: The reason I don't like fair food is because at 33 00:01:13,920 --> 00:01:16,600 Speaker 1: fair Food, I know what the food prep situation is. 34 00:01:16,720 --> 00:01:19,400 Speaker 1: Like they're prepping off site in like an RV or 35 00:01:19,440 --> 00:01:21,200 Speaker 1: a food trailer in the back. It's hard enough to 36 00:01:21,200 --> 00:01:23,000 Speaker 1: set the fare up. These people are on the go, 37 00:01:23,160 --> 00:01:25,520 Speaker 1: on the run. They're going and picking up their food 38 00:01:25,560 --> 00:01:28,479 Speaker 1: at like restaurant depot, who knows how long it's sitting out, 39 00:01:28,760 --> 00:01:31,760 Speaker 1: And then they prepare the food in these little cubicles. 40 00:01:31,760 --> 00:01:35,120 Speaker 1: They almost look like jail cells, and nobody's actually checking 41 00:01:35,240 --> 00:01:36,399 Speaker 1: the sanitation. 42 00:01:36,560 --> 00:01:38,399 Speaker 2: Let's not ruin it for the people. 43 00:01:38,800 --> 00:01:41,240 Speaker 1: But that's why they deep fry everything. Oh, to kill anything, 44 00:01:41,240 --> 00:01:43,640 Speaker 1: I mean theoretically, right, just do you worried about bacteria? 45 00:01:43,680 --> 00:01:45,600 Speaker 2: You just kill it off, just fry it off. 46 00:01:45,920 --> 00:01:47,760 Speaker 1: Well, today we got a few that are gonna make 47 00:01:47,800 --> 00:01:50,360 Speaker 1: you laugh, gag, who knows what else in between, probably 48 00:01:50,440 --> 00:01:52,160 Speaker 1: questioned humanity all before lunch. 49 00:01:52,600 --> 00:01:54,560 Speaker 2: Oh boy, yeah, depending. 50 00:01:54,240 --> 00:01:56,640 Speaker 1: On what time you're listening to this. So one of 51 00:01:56,680 --> 00:01:59,600 Speaker 1: the stories that's been in the news the past, you know, 52 00:02:00,120 --> 00:02:03,040 Speaker 1: week plus what have you has been And it's funny 53 00:02:03,040 --> 00:02:06,000 Speaker 1: because I went on X and then Facebook and it's 54 00:02:06,080 --> 00:02:08,640 Speaker 1: just Katie Porter, Katie Porter, Katie Porter, Katie Porter. 55 00:02:08,800 --> 00:02:12,040 Speaker 2: Everything anyone is talking about is Katie Porter. 56 00:02:11,960 --> 00:02:15,080 Speaker 1: Which stems from this viral clip where she basically was 57 00:02:15,120 --> 00:02:18,200 Speaker 1: incredibly rude to a reporter that was doing nothing more 58 00:02:18,200 --> 00:02:19,520 Speaker 1: than trying to ask questions. 59 00:02:19,560 --> 00:02:22,480 Speaker 3: She was, yes, they were follow up questions. She took 60 00:02:22,520 --> 00:02:25,840 Speaker 3: it very personally, which was very odd. I mean, come on, 61 00:02:26,120 --> 00:02:27,840 Speaker 3: they weren't even hard hitting questions. 62 00:02:27,840 --> 00:02:29,840 Speaker 1: They weren't hard hitting questions. And I bring this up 63 00:02:29,880 --> 00:02:32,799 Speaker 1: because Lauren and I always make the joke that if 64 00:02:32,800 --> 00:02:34,839 Speaker 1: you want to judge a person's character, you can see 65 00:02:34,880 --> 00:02:37,119 Speaker 1: the way that they treat people in restaurants. 66 00:02:37,360 --> 00:02:38,480 Speaker 2: Yes, we always say this. 67 00:02:38,600 --> 00:02:40,760 Speaker 3: If so, we'll go out to dinner sometimes with some 68 00:02:40,840 --> 00:02:43,839 Speaker 3: friends and you know, they'll treat the wait staff kind 69 00:02:43,840 --> 00:02:48,240 Speaker 3: of mean ex friends, ex friends exactly, And I'm like, 70 00:02:48,320 --> 00:02:50,560 Speaker 3: and that just shows who they are deep down because 71 00:02:50,560 --> 00:02:52,560 Speaker 3: they treat like the help yeah, you. 72 00:02:52,520 --> 00:02:55,720 Speaker 1: Know, exactly like crap. And what I found is what's 73 00:02:55,720 --> 00:02:59,760 Speaker 1: so funny is that the people in politics who are 74 00:03:00,080 --> 00:03:04,320 Speaker 1: always building a platform that's so pro worker, pro worker, 75 00:03:04,400 --> 00:03:08,520 Speaker 1: pro worker, had never run a business and dealt with 76 00:03:08,600 --> 00:03:11,520 Speaker 1: team members. And when they do, they're typically in their 77 00:03:11,520 --> 00:03:15,680 Speaker 1: political campaigns because their career politicians usually they some people 78 00:03:15,760 --> 00:03:20,040 Speaker 1: like Porter work through education into politics. And then the 79 00:03:20,120 --> 00:03:22,880 Speaker 1: way in which you can see how they deal with 80 00:03:23,000 --> 00:03:26,600 Speaker 1: and truly think about workers, or in her case, she 81 00:03:26,639 --> 00:03:29,679 Speaker 1: thinks of herself as elite and in the pleabs underneath 82 00:03:29,680 --> 00:03:31,840 Speaker 1: her is the way in which they treat their team 83 00:03:31,880 --> 00:03:34,800 Speaker 1: members or other people's team members. So the first video 84 00:03:34,800 --> 00:03:36,760 Speaker 1: that went viral was the way in which she was 85 00:03:36,760 --> 00:03:40,800 Speaker 1: communicating and treating the reporter, who, frankly, if you go 86 00:03:40,880 --> 00:03:42,960 Speaker 1: back and look at that reporter's history, it was very 87 00:03:43,000 --> 00:03:45,320 Speaker 1: friendly to her general party. 88 00:03:45,760 --> 00:03:48,520 Speaker 3: Just in that interview clip, you can see how nice 89 00:03:48,520 --> 00:03:50,520 Speaker 3: she was. She was kind of taken aback, like wait, 90 00:03:50,520 --> 00:03:51,720 Speaker 3: what is happening. 91 00:03:51,440 --> 00:03:53,680 Speaker 1: Because it's a friendly right, Like that's the thing is 92 00:03:53,880 --> 00:03:57,040 Speaker 1: that are you interviewing with a friendly or are you not? 93 00:03:57,120 --> 00:03:58,680 Speaker 1: Why did you give me that look, I got nervous 94 00:03:58,720 --> 00:04:01,080 Speaker 1: there for a second. Larren does things with her eyes. 95 00:04:01,080 --> 00:04:02,720 Speaker 1: We're not on video right now, but it makes me 96 00:04:02,760 --> 00:04:05,480 Speaker 1: wonder whether either my pants are falling off or my fly. 97 00:04:05,440 --> 00:04:07,600 Speaker 2: Is open, or both sometimes both. 98 00:04:07,680 --> 00:04:10,480 Speaker 1: But don't worry, I've got pants on. So Katie Porter 99 00:04:10,600 --> 00:04:13,760 Speaker 1: trashes this person. Then another video goes viral where she's 100 00:04:13,800 --> 00:04:16,440 Speaker 1: in her kitchen and she's doing some sort of a 101 00:04:16,480 --> 00:04:20,880 Speaker 1: pre rehearsed interview and the team member staff member, I 102 00:04:20,880 --> 00:04:21,360 Speaker 1: think it was like. 103 00:04:21,320 --> 00:04:24,640 Speaker 3: Her hurt or assistant or something, and she told her 104 00:04:24,640 --> 00:04:26,320 Speaker 3: to get out of my effing shot. 105 00:04:26,560 --> 00:04:29,440 Speaker 1: Yeah. She walked into the scene in the background, and 106 00:04:29,480 --> 00:04:34,200 Speaker 1: this girl, stoically and with zero emotion, just takes the berating, 107 00:04:34,400 --> 00:04:38,400 Speaker 1: takes the beat down, and then corrects Katie Porter and says, well, 108 00:04:38,440 --> 00:04:40,000 Speaker 1: the reason I was in the shot just so you 109 00:04:40,040 --> 00:04:42,520 Speaker 1: know those numbers are wrong about electric vehicles, et cetera. 110 00:04:42,600 --> 00:04:45,880 Speaker 1: And then she's like, well, you still came in my 111 00:04:45,920 --> 00:04:47,160 Speaker 1: shot two or three times. 112 00:04:47,520 --> 00:04:51,400 Speaker 3: Yeah, I mean she's trying to justify her bad behavior. 113 00:04:51,760 --> 00:04:53,680 Speaker 1: She was trying to justify it. But the thing is 114 00:04:53,680 --> 00:04:57,160 Speaker 1: is that it was the most disgusting example of how 115 00:04:57,200 --> 00:05:00,839 Speaker 1: you treat someone who's ultimately working for you. And I 116 00:05:00,880 --> 00:05:03,599 Speaker 1: think that that's just a bigger conversation about the way 117 00:05:03,600 --> 00:05:05,440 Speaker 1: in which we treat our service workers. And I think 118 00:05:05,440 --> 00:05:08,240 Speaker 1: that it's important to mention too that Katie Porter is 119 00:05:08,520 --> 00:05:12,760 Speaker 1: somebody who has pushed hard and pushed against businesses, small, 120 00:05:12,839 --> 00:05:15,640 Speaker 1: medium and big business as being the bad guys, the 121 00:05:15,720 --> 00:05:18,200 Speaker 1: villains we saw it, especially during the pandemic, and that 122 00:05:18,240 --> 00:05:19,760 Speaker 1: we need to pay our workers more and we need 123 00:05:19,800 --> 00:05:22,040 Speaker 1: to treat our workers better. And she's championed all these 124 00:05:22,120 --> 00:05:24,920 Speaker 1: labor bills. She's obviously, you know, kind of working hand 125 00:05:25,000 --> 00:05:27,040 Speaker 1: in glove with the AFL and so many of these 126 00:05:27,080 --> 00:05:31,000 Speaker 1: different unions, especially through AB twelve twenty eight, the restaurant 127 00:05:30,880 --> 00:05:34,360 Speaker 1: and hospitality workers unions. But then she treats these people 128 00:05:34,440 --> 00:05:35,640 Speaker 1: like absolute junk. 129 00:05:36,320 --> 00:05:39,960 Speaker 3: Yeah, I mean, come on, pop, what is that little phrase, 130 00:05:40,240 --> 00:05:41,760 Speaker 3: pot calling the kettle black? 131 00:05:42,240 --> 00:05:44,479 Speaker 1: Yeah, pot calling the kettle black. Which brings us to 132 00:05:44,520 --> 00:05:47,960 Speaker 1: our next conversation, Peach, which is pans, pots and pans. 133 00:05:48,120 --> 00:05:50,760 Speaker 1: A lot of people ask me about how I what 134 00:05:50,839 --> 00:05:51,960 Speaker 1: types of pans I used to. 135 00:05:51,880 --> 00:05:54,279 Speaker 2: Cook with so many questions about. 136 00:05:53,960 --> 00:05:56,440 Speaker 1: This, always about the pan ye our knives, and I 137 00:05:56,480 --> 00:05:59,440 Speaker 1: tell everyone that I like to have there's like if 138 00:05:59,480 --> 00:06:01,120 Speaker 1: you want to to go buy a set, and I 139 00:06:01,120 --> 00:06:03,360 Speaker 1: think this is important because that's a question like what 140 00:06:03,440 --> 00:06:06,000 Speaker 1: type of a set should I buy typically going into 141 00:06:06,000 --> 00:06:08,600 Speaker 1: the holidays, or I want to buy a gift for somebody. 142 00:06:08,720 --> 00:06:11,920 Speaker 1: There's really only four pots and pans that you need, 143 00:06:12,200 --> 00:06:14,280 Speaker 1: and you don't buy them as a whole set because 144 00:06:14,320 --> 00:06:16,720 Speaker 1: when you buy them as a whole set, there's usually 145 00:06:16,800 --> 00:06:19,120 Speaker 1: one good potter pan in a set, and then you're 146 00:06:19,160 --> 00:06:21,480 Speaker 1: paying extra money for something you're either not going to 147 00:06:21,600 --> 00:06:23,680 Speaker 1: use or is just junk. So they can make their 148 00:06:23,720 --> 00:06:26,640 Speaker 1: money as part of the set. So buy them individually. 149 00:06:26,680 --> 00:06:30,960 Speaker 1: And here is the breakdown. So first and foremost everyone 150 00:06:31,080 --> 00:06:35,400 Speaker 1: needs a cast iron pan. Okay, a twelve to sixteen 151 00:06:35,440 --> 00:06:38,840 Speaker 1: inch cast iron pan. Typical cast iron pan. You can 152 00:06:38,920 --> 00:06:42,839 Speaker 1: go to most Goodwills or second hand stores and find 153 00:06:42,880 --> 00:06:45,520 Speaker 1: an old cast iron pan, because the beauty of a 154 00:06:45,520 --> 00:06:48,479 Speaker 1: cast iron pan is is that even if it's destroyed, 155 00:06:48,760 --> 00:06:50,840 Speaker 1: all you need to do is reseason it. And we'll 156 00:06:50,880 --> 00:06:53,760 Speaker 1: talk about that in a second. The second one, which 157 00:06:53,839 --> 00:06:56,479 Speaker 1: kind of dovetails into the cast iron. If you don't 158 00:06:56,880 --> 00:06:59,359 Speaker 1: want the cast iron because it's too heavy and bulky, 159 00:06:59,560 --> 00:07:02,480 Speaker 1: hard to pay up, store, go the carbon steel pan. 160 00:07:02,960 --> 00:07:06,120 Speaker 1: A carbon steel pan is essentially a lighter cast iron pan. 161 00:07:06,440 --> 00:07:08,159 Speaker 1: You'll see me cook with those in a lot of 162 00:07:08,160 --> 00:07:10,640 Speaker 1: our videos that we do on American Gravy on YouTube. 163 00:07:10,800 --> 00:07:13,040 Speaker 1: Just follow that at Andrew Gruel on YouTube. A little 164 00:07:13,040 --> 00:07:16,280 Speaker 1: plug there. The carbon steel pan basically has the same 165 00:07:16,320 --> 00:07:19,280 Speaker 1: properties of the cast iron pan, but it's easier to move, 166 00:07:19,320 --> 00:07:22,119 Speaker 1: it's got to handle, it's lighter. Now, the reason why 167 00:07:22,200 --> 00:07:24,400 Speaker 1: you want to use these cast iron pans is because 168 00:07:24,400 --> 00:07:28,360 Speaker 1: they're so thick and they hold the heat well. The 169 00:07:28,400 --> 00:07:31,280 Speaker 1: way in which you gauge a pan is based on 170 00:07:31,360 --> 00:07:35,400 Speaker 1: the thickness of the whatever the pan is made up from. Right, 171 00:07:35,600 --> 00:07:38,520 Speaker 1: So you've got cast iron, then you've got stainless steel, 172 00:07:38,680 --> 00:07:41,600 Speaker 1: and you've got aluminum. Now aluminum of the thin pans 173 00:07:41,600 --> 00:07:43,679 Speaker 1: that you're gonna buy for like five dollars, ten dollars 174 00:07:43,760 --> 00:07:46,840 Speaker 1: at what's that story? You like to go to Michael's. 175 00:07:47,080 --> 00:07:49,160 Speaker 1: What's the story? You go to off Beach Boulevard there 176 00:07:49,400 --> 00:07:50,880 Speaker 1: or off of Ed and Jerry where we get you 177 00:07:50,920 --> 00:07:54,000 Speaker 1: get chochkeys, good get home goods, chotchkeys. We have a 178 00:07:54,000 --> 00:07:54,920 Speaker 1: lot of chotchkeys. 179 00:07:55,360 --> 00:07:57,360 Speaker 3: Okay, I just want to say I'm very impressed how 180 00:07:57,360 --> 00:07:59,920 Speaker 3: we went from Katie Porters. 181 00:07:59,160 --> 00:08:02,800 Speaker 2: Talking about the pans. A smooth transition there. 182 00:08:03,040 --> 00:08:06,800 Speaker 1: I'm a smooth operator. I'm a mulcifying all of the time. 183 00:08:07,080 --> 00:08:10,120 Speaker 1: Here we just get an artificial a mulsifier like xantham 184 00:08:10,160 --> 00:08:12,760 Speaker 1: gum or Dijon mustard. Got to keep the food in there, 185 00:08:12,880 --> 00:08:15,800 Speaker 1: so your pants right back to the pants. And then 186 00:08:16,240 --> 00:08:18,840 Speaker 1: you've got the so once again, the gauge the thickness 187 00:08:18,880 --> 00:08:20,880 Speaker 1: of these pans and what the material is. So the 188 00:08:20,920 --> 00:08:23,280 Speaker 1: cheapest is going to be aluminum. Now you might want 189 00:08:23,280 --> 00:08:25,320 Speaker 1: to use an aluminum pan if you're boiling water. Right, 190 00:08:25,360 --> 00:08:28,200 Speaker 1: if I'm boiling water, who cares how thick the pan 191 00:08:28,360 --> 00:08:30,520 Speaker 1: is and how it holds the heat, because all you're 192 00:08:30,560 --> 00:08:33,400 Speaker 1: doing is boiling water. As opposed to an aluminum pan 193 00:08:33,400 --> 00:08:36,440 Speaker 1: where you're gonna seer meat. You get that pan blazing hot, 194 00:08:36,559 --> 00:08:37,960 Speaker 1: and then you put up a cold piece of meat 195 00:08:37,960 --> 00:08:40,160 Speaker 1: in there because it's not holding the heat and the 196 00:08:40,160 --> 00:08:42,840 Speaker 1: illuminum doesn't hold the heat as well as stainless steel. 197 00:08:42,880 --> 00:08:45,040 Speaker 1: And then up the ladder to the cast iron. Well, 198 00:08:45,080 --> 00:08:47,640 Speaker 1: then you're going to cool the pan down so quickly 199 00:08:47,679 --> 00:08:50,120 Speaker 1: it's going to go from a seer to a steam, right, 200 00:08:50,200 --> 00:08:52,320 Speaker 1: And that's how you don't get that deep browning or 201 00:08:52,320 --> 00:08:54,640 Speaker 1: it's gonna burn, right, if you're cooking eggs. So the 202 00:08:54,679 --> 00:08:56,800 Speaker 1: first thing you want is that cast iron or carbon steel. 203 00:08:56,800 --> 00:08:58,920 Speaker 1: I'll merge those into one. The second one is just 204 00:08:58,960 --> 00:09:01,080 Speaker 1: a cheap pan to boil or poach things in. Right, 205 00:09:01,320 --> 00:09:02,840 Speaker 1: that's the one you don't need to spend a lot 206 00:09:02,840 --> 00:09:05,200 Speaker 1: of money on. The third pan that you want to 207 00:09:05,280 --> 00:09:07,640 Speaker 1: use is an egg pan. Right, you just want an 208 00:09:07,679 --> 00:09:10,800 Speaker 1: eight inch egg pan. I like to go thicker on that, 209 00:09:10,880 --> 00:09:13,280 Speaker 1: all clad. You can have the nonstick surface on there. 210 00:09:13,440 --> 00:09:15,600 Speaker 1: I know a lot of people don't like the nonstick pan. 211 00:09:16,000 --> 00:09:18,400 Speaker 1: The key with the nonstick is that once it starts 212 00:09:18,400 --> 00:09:21,000 Speaker 1: to degrade, throw it away and buy a new one. 213 00:09:21,320 --> 00:09:24,600 Speaker 3: And what would you say for a fourth Oh my god, 214 00:09:26,040 --> 00:09:27,000 Speaker 3: I was daydreaming. 215 00:09:27,240 --> 00:09:29,080 Speaker 1: She was. See, we weren't going to go into this 216 00:09:29,120 --> 00:09:30,280 Speaker 1: pan talk, but then we did. 217 00:09:30,880 --> 00:09:32,720 Speaker 3: That's why I said, I can't believe we went from 218 00:09:32,800 --> 00:09:34,000 Speaker 3: Katie Porter to the pans. 219 00:09:34,160 --> 00:09:37,640 Speaker 1: Yeah, well she could. She's sautaining her her political career away. 220 00:09:37,920 --> 00:09:41,079 Speaker 1: Unfortunately she's burning it. Yeah, she's using the aluminum pan. 221 00:09:41,360 --> 00:09:44,560 Speaker 1: She is the aluminum pans of the political world. And 222 00:09:44,559 --> 00:09:47,679 Speaker 1: then right, so back to we've got the nonstick pan 223 00:09:47,800 --> 00:09:51,520 Speaker 1: for eggs. Oh, and then a nice hard stainless steel 224 00:09:51,600 --> 00:09:54,640 Speaker 1: eight to ten inch pan for sawteing vegetables and doing 225 00:09:54,720 --> 00:09:57,360 Speaker 1: basic cookery, searing scallops, et cetera, which you can also 226 00:09:57,400 --> 00:09:59,880 Speaker 1: do in a cast iron. That's it. That's all you need. 227 00:10:00,400 --> 00:10:02,720 Speaker 2: That is somebody's Christmas shopping list right there. 228 00:10:02,800 --> 00:10:05,520 Speaker 1: Yeah. Now, if you want to get one thing, one 229 00:10:05,760 --> 00:10:08,439 Speaker 1: item that captures all of that, it's the Dutch oven. 230 00:10:09,120 --> 00:10:11,880 Speaker 3: Love a Dutch oven. Yeah, not what you've done to 231 00:10:11,920 --> 00:10:13,160 Speaker 3: me in our bedroom. 232 00:10:13,559 --> 00:10:17,040 Speaker 1: Oh my gosh, this just went from uh, this went 233 00:10:17,080 --> 00:10:18,960 Speaker 1: from a daytime show to after hours. 234 00:10:19,040 --> 00:10:20,960 Speaker 2: Very okay, listen, Dutch ovens are great. 235 00:10:21,000 --> 00:10:23,000 Speaker 1: Our kids do that all the time. The old Dutch oven, 236 00:10:23,000 --> 00:10:24,760 Speaker 1: what does it smell under the sheets? Oh no, we 237 00:10:24,840 --> 00:10:26,040 Speaker 1: trapped her under the sheets. 238 00:10:26,800 --> 00:10:29,560 Speaker 3: But Dutch oven is so versatile. Yeah, you can do 239 00:10:29,600 --> 00:10:30,240 Speaker 3: anything in there. 240 00:10:30,280 --> 00:10:32,720 Speaker 1: We've had that Dutch o who made the one. 241 00:10:33,000 --> 00:10:34,640 Speaker 2: We have like the cheapest Dutch of it. 242 00:10:34,640 --> 00:10:36,800 Speaker 3: It's by Queasin Art that I got at Home Goods 243 00:10:37,080 --> 00:10:40,360 Speaker 3: Poison Art, and we use it for everything we do. 244 00:10:40,480 --> 00:10:42,480 Speaker 1: We do, so you can use that's one where you 245 00:10:42,520 --> 00:10:43,839 Speaker 1: can see her in it. You can brazen it you 246 00:10:43,880 --> 00:10:45,439 Speaker 1: can poach it. So sorry, let me throw that one 247 00:10:45,440 --> 00:10:47,880 Speaker 1: in there as the fourth. So we got the cast iron, 248 00:10:48,040 --> 00:10:49,960 Speaker 1: you got the egg pan, you got the cheap pan 249 00:10:50,160 --> 00:10:51,920 Speaker 1: just to boil stuff, and you got the Dutch oven. 250 00:10:51,920 --> 00:10:52,400 Speaker 1: There you go. 251 00:10:52,720 --> 00:10:55,079 Speaker 2: Some Dutch ovens are super expensive. 252 00:10:55,240 --> 00:10:57,040 Speaker 1: Yeah, but you don't need the super expensive one. As 253 00:10:57,040 --> 00:10:59,160 Speaker 1: long as it's thick. It's got that a nice enamel 254 00:11:00,080 --> 00:11:00,800 Speaker 1: of coding on it. 255 00:11:00,880 --> 00:11:01,760 Speaker 2: So what is that one? 256 00:11:01,800 --> 00:11:02,079 Speaker 3: Brand? 257 00:11:02,160 --> 00:11:05,480 Speaker 2: La crusade, la close. They're like five hundred dollars. 258 00:11:05,559 --> 00:11:07,880 Speaker 1: That's because it's French. The French always overcharged for things 259 00:11:08,360 --> 00:11:10,240 Speaker 1: just because they have an accent, and they think that 260 00:11:10,280 --> 00:11:13,480 Speaker 1: it's the language of romance. Frankly, I think that German 261 00:11:13,559 --> 00:11:14,520 Speaker 1: is the language of romance. 262 00:11:14,520 --> 00:11:16,240 Speaker 2: Don't even happen here. 263 00:11:16,280 --> 00:11:19,280 Speaker 1: We go on Hania and off Son and Dach. 264 00:11:19,800 --> 00:11:24,160 Speaker 2: He knows a little German, and I said, I don't know. 265 00:11:24,280 --> 00:11:24,640 Speaker 2: I don't. 266 00:11:24,679 --> 00:11:26,400 Speaker 1: I said, look out, you have a chicken on your roof. 267 00:11:26,559 --> 00:11:27,880 Speaker 2: That's all he knows. 268 00:11:28,320 --> 00:11:31,200 Speaker 1: Yeah, But it applies in so many different areas of life. 269 00:11:31,520 --> 00:11:34,679 Speaker 1: I mean there's many. It's a it's a metaphor, it's figurative, 270 00:11:34,720 --> 00:11:37,400 Speaker 1: it could be literal. If you're hanging out in a farm. 271 00:11:37,920 --> 00:11:38,560 Speaker 2: Yeah, could be. 272 00:11:39,400 --> 00:11:41,640 Speaker 1: So what are we moving on to next? What's happening 273 00:11:41,640 --> 00:11:44,880 Speaker 1: in the industry these days? What's a good food story? Politics? Policy? 274 00:11:45,160 --> 00:11:49,640 Speaker 3: So good news somewhat. Schools in California are phasing out 275 00:11:49,720 --> 00:11:52,880 Speaker 3: ultra processed foods by twenty thirty five. 276 00:11:54,480 --> 00:11:57,440 Speaker 2: I mean it's a step in the right direction. 277 00:11:57,679 --> 00:11:58,959 Speaker 1: Keep going, all right. 278 00:11:59,040 --> 00:12:02,640 Speaker 3: So California is implementing the Real Food Healthy Kids Act 279 00:12:02,760 --> 00:12:07,200 Speaker 3: AB twelve sixty four, which banned certain ultra process foods 280 00:12:07,200 --> 00:12:10,080 Speaker 3: from school meals by twenty thirty five, with the goal 281 00:12:10,080 --> 00:12:13,640 Speaker 3: of phasing out items with harmful additives, high levels of sugar, salt, 282 00:12:13,760 --> 00:12:17,360 Speaker 3: or unhealthy fats. The law requires the state to define 283 00:12:17,880 --> 00:12:21,640 Speaker 3: ultra process foods of concern by twenty twenty eight. 284 00:12:21,960 --> 00:12:25,160 Speaker 1: There you go, There you go. So the state is 285 00:12:25,240 --> 00:12:29,000 Speaker 1: going to define what's ultra processed foods. So yeah, this 286 00:12:29,080 --> 00:12:30,800 Speaker 1: will be interesting, and they're going to do it by 287 00:12:30,840 --> 00:12:33,480 Speaker 1: twenty twenty eight. Right, keep in mind it's twenty twenty five, 288 00:12:33,559 --> 00:12:36,000 Speaker 1: towards the end of twenty twenty five, so two plus years. 289 00:12:36,280 --> 00:12:39,920 Speaker 1: Here's why I have a problem with this Newsome and 290 00:12:39,960 --> 00:12:43,160 Speaker 1: the administration just decided within one to two weeks that 291 00:12:43,200 --> 00:12:47,480 Speaker 1: they wanted to completely upend our redistricting process, a process 292 00:12:47,520 --> 00:12:51,400 Speaker 1: by which the voters voted to have an independent redistricting 293 00:12:51,440 --> 00:12:54,800 Speaker 1: committee that would set the districts in California, and they 294 00:12:54,800 --> 00:12:58,520 Speaker 1: would revisit that every decade. Within a month or two, 295 00:12:58,840 --> 00:13:02,520 Speaker 1: he actually created in a way to flip that upside down, 296 00:13:03,160 --> 00:13:07,520 Speaker 1: establish a proposition, build out the framework for a special election, 297 00:13:07,640 --> 00:13:09,680 Speaker 1: which is coming up here in November. 298 00:13:09,800 --> 00:13:13,199 Speaker 3: By the way, vote no on yeah, vote no on fifty, 299 00:13:13,400 --> 00:13:14,199 Speaker 3: Vote no on fifty. 300 00:13:14,360 --> 00:13:17,280 Speaker 1: And then he's spending two hundred and fifty some say 301 00:13:17,320 --> 00:13:21,240 Speaker 1: over three hundred million dollars to have this election rolled out, 302 00:13:21,400 --> 00:13:24,120 Speaker 1: so they can get that done within weeks. But when 303 00:13:24,160 --> 00:13:26,800 Speaker 1: it comes to defining what ultra processed foods are, which 304 00:13:26,800 --> 00:13:30,520 Speaker 1: we already know what ultra processed foods are, is going 305 00:13:30,559 --> 00:13:33,640 Speaker 1: to take two plus years, and they're holding themselves to 306 00:13:33,679 --> 00:13:37,480 Speaker 1: a timeline of twenty thirty five to remove these from 307 00:13:37,480 --> 00:13:38,720 Speaker 1: the school food system. 308 00:13:38,840 --> 00:13:40,400 Speaker 2: Yet ten years. 309 00:13:40,640 --> 00:13:44,480 Speaker 1: This is virtue at its best. There is no appetite 310 00:13:44,520 --> 00:13:46,960 Speaker 1: to get this done. They're strictly doing it because they 311 00:13:47,000 --> 00:13:48,439 Speaker 1: want political points. 312 00:13:48,280 --> 00:13:50,200 Speaker 3: And who knows if this is even gonna happen by 313 00:13:50,200 --> 00:13:50,960 Speaker 3: twenty thirty five. 314 00:13:51,240 --> 00:13:54,120 Speaker 1: One of the benefits of having a supermajority, and also 315 00:13:54,200 --> 00:13:57,040 Speaker 1: on one of the threats of having a supermajority is 316 00:13:57,080 --> 00:13:59,960 Speaker 1: the speed with which you can pass things through legislatively 317 00:14:00,080 --> 00:14:02,000 Speaker 1: and get things done. You can get it done in 318 00:14:02,040 --> 00:14:04,120 Speaker 1: a split second, and when it comes to some of 319 00:14:04,120 --> 00:14:07,520 Speaker 1: these virtue signaling issues, they're happy to push these through 320 00:14:08,080 --> 00:14:10,520 Speaker 1: the state legislature and get it done and enacted and 321 00:14:10,559 --> 00:14:14,800 Speaker 1: implemented immediately. Food and our children, the kids that this 322 00:14:14,840 --> 00:14:16,880 Speaker 1: would affect haven't even been born yet. 323 00:14:16,800 --> 00:14:19,360 Speaker 3: Exactly, or the kids that are in school, and yeah, exactly, 324 00:14:19,400 --> 00:14:21,480 Speaker 3: none of them are going to benefit from this. These 325 00:14:21,480 --> 00:14:23,280 Speaker 3: they're going to be out of school by twenty thirty 326 00:14:23,320 --> 00:14:24,120 Speaker 3: five exactly. 327 00:14:24,200 --> 00:14:26,400 Speaker 1: So you know, I give this a one out of ten. 328 00:14:26,840 --> 00:14:29,080 Speaker 1: I think that this is strictly them just trying to 329 00:14:29,080 --> 00:14:31,400 Speaker 1: pat themselves on the back for saying that they're doing something, 330 00:14:31,400 --> 00:14:31,840 Speaker 1: but they're not. 331 00:14:32,080 --> 00:14:34,920 Speaker 3: And all the headlines are all you're praising this as well, 332 00:14:35,000 --> 00:14:35,800 Speaker 3: So that's interesting. 333 00:14:35,920 --> 00:14:37,280 Speaker 1: Are they praising it? I don't even know. 334 00:14:37,360 --> 00:14:40,760 Speaker 3: I mean, I've seen like California first, you know, to 335 00:14:40,840 --> 00:14:41,320 Speaker 3: do this. 336 00:14:41,240 --> 00:14:42,520 Speaker 2: Blah blah blah, whatever it is. 337 00:14:42,960 --> 00:14:46,720 Speaker 3: It's like, but it's nobody reads beyond the headlines, so 338 00:14:46,760 --> 00:14:48,680 Speaker 3: they don't know this is going to take effect ten 339 00:14:49,040 --> 00:14:50,040 Speaker 3: from ten years from now. 340 00:14:50,080 --> 00:14:53,320 Speaker 1: If it even happens, My beautiful, lovely light wife hit 341 00:14:53,360 --> 00:14:55,040 Speaker 1: the nail on the head there. I'm going to repeat it. 342 00:14:55,280 --> 00:14:58,840 Speaker 1: Nobody reads beyond the headlines. One bit of a recommendation 343 00:14:58,880 --> 00:15:01,040 Speaker 1: that I would give to anybody, especially parents who are 344 00:15:01,080 --> 00:15:04,040 Speaker 1: teaching their kids how to digest the news. Read the 345 00:15:04,080 --> 00:15:07,560 Speaker 1: final paragraph of the story before you read the headline. 346 00:15:07,880 --> 00:15:11,280 Speaker 1: And the final paragraph of the story never matches the headline. 347 00:15:11,640 --> 00:15:14,080 Speaker 1: The truth is always buried within the story, and they 348 00:15:14,120 --> 00:15:17,000 Speaker 1: call that news. Oh yeah, yeah, but you're getting the 349 00:15:17,040 --> 00:15:20,160 Speaker 1: real news here on American Gravy. So something a little 350 00:15:20,200 --> 00:15:24,040 Speaker 1: bit more fun lifestyle? What are they rolling out these days, Lauren? 351 00:15:24,080 --> 00:15:24,840 Speaker 1: When it comes to food. 352 00:15:25,000 --> 00:15:31,320 Speaker 3: All right, So Pizza Hut debuts a Macha cheese pizza. 353 00:15:32,640 --> 00:15:35,480 Speaker 3: I mean, I don't personally love Macha. 354 00:15:35,720 --> 00:15:36,360 Speaker 2: I know you don't. 355 00:15:36,400 --> 00:15:39,520 Speaker 3: First yeah, that was your eighty six, But I don't 356 00:15:39,560 --> 00:15:42,320 Speaker 3: love it either. I've tried it, and I just something 357 00:15:42,360 --> 00:15:44,240 Speaker 3: about it. People say it's so much better for you, 358 00:15:44,360 --> 00:15:46,560 Speaker 3: the health benefits, blah blah blah, but I can't get 359 00:15:46,560 --> 00:15:47,320 Speaker 3: past the taste. 360 00:15:47,320 --> 00:15:48,120 Speaker 2: I don't like it. 361 00:15:48,480 --> 00:15:53,520 Speaker 3: So I can't even imagine what a macha cheese pizza 362 00:15:53,680 --> 00:15:54,720 Speaker 3: would taste like. 363 00:15:55,320 --> 00:15:57,480 Speaker 1: Well, first of all, let's I think probably a lot 364 00:15:57,520 --> 00:15:59,880 Speaker 1: of people don't know what macha is, and we touched 365 00:15:59,880 --> 00:16:02,160 Speaker 1: on last week, but I'll just define it specifically. It's 366 00:16:02,200 --> 00:16:05,880 Speaker 1: a finely ground powder made from specially grown and processed 367 00:16:05,880 --> 00:16:10,080 Speaker 1: green tea leaves. Okay, so it's tea, Macha's tea. 368 00:16:10,120 --> 00:16:10,760 Speaker 2: It's green tea. 369 00:16:10,920 --> 00:16:14,920 Speaker 1: Now, so imagine taking a tea bag and grinding it 370 00:16:15,000 --> 00:16:17,040 Speaker 1: up into a powder and then dusting it all over 371 00:16:17,080 --> 00:16:20,160 Speaker 1: your pizza. Those are two flavors that don't go together, no, 372 00:16:20,480 --> 00:16:23,040 Speaker 1: and never. Traditionally they don't go together, which is what 373 00:16:23,120 --> 00:16:25,880 Speaker 1: I even find more ironic because in Japanese culture, what 374 00:16:25,960 --> 00:16:29,520 Speaker 1: do they not eat dairy cheese? Like, you're not gonna 375 00:16:29,520 --> 00:16:32,240 Speaker 1: find much cheese nowadays. You'll kind of find some fusions 376 00:16:32,280 --> 00:16:36,280 Speaker 1: of like cheese, but there's not much cheese in Japanese cuisine. 377 00:16:36,360 --> 00:16:38,200 Speaker 2: Yeah. I don't think macha and cheese wherever supposed to 378 00:16:38,200 --> 00:16:38,840 Speaker 2: go together. 379 00:16:38,640 --> 00:16:43,960 Speaker 1: Exactly, So macha and cheese, lamon, tuna, fish, anchovies, nice cream, sundaes. 380 00:16:44,120 --> 00:16:46,440 Speaker 1: Sometimes ingredients are great on their own, but they're not 381 00:16:46,520 --> 00:16:49,080 Speaker 1: great together. Just like humans, we're not all meant to 382 00:16:49,120 --> 00:16:52,320 Speaker 1: be married what. I don't know. I felt like working 383 00:16:52,360 --> 00:16:56,480 Speaker 1: love into that one. I'm feeling very deep today, religious, spiritual. 384 00:16:58,040 --> 00:17:02,280 Speaker 3: We have another interesting food take well food, I guess, 385 00:17:02,320 --> 00:17:06,320 Speaker 3: I don't know, conversation. Arby's launching a viral steak nugget. 386 00:17:06,600 --> 00:17:09,359 Speaker 1: Yeah, I've seen this one. But is it it's it's it's 387 00:17:09,400 --> 00:17:12,480 Speaker 1: like these these little bites. It's these little steak bites 388 00:17:12,520 --> 00:17:13,600 Speaker 1: that you buy and they are going to come in 389 00:17:13,640 --> 00:17:13,960 Speaker 1: a cup. 390 00:17:15,840 --> 00:17:17,960 Speaker 3: So is it a nugget or is it just like 391 00:17:17,960 --> 00:17:19,840 Speaker 3: like Chick fil A like chicken nuggets. 392 00:17:19,440 --> 00:17:21,359 Speaker 1: I think it's like that. I think it's the grilled 393 00:17:21,440 --> 00:17:25,960 Speaker 1: chicken nuggets. That's yeah, that's exactly what it's. But it's 394 00:17:25,960 --> 00:17:28,000 Speaker 1: got this specialty seasoning on there, and it's going to 395 00:17:28,040 --> 00:17:30,080 Speaker 1: be incredibly salty and rich and full of umami and 396 00:17:30,640 --> 00:17:33,760 Speaker 1: batter process No, oh no, why would they batter it? 397 00:17:33,880 --> 00:17:35,800 Speaker 2: I don't know, like to make a nugget, Like, why. 398 00:17:35,640 --> 00:17:37,520 Speaker 1: Would they batter it? They would beat it up? 399 00:17:37,840 --> 00:17:40,440 Speaker 2: Oh Andrew, what, don't go there? 400 00:17:40,920 --> 00:17:41,360 Speaker 1: Battered? 401 00:17:41,840 --> 00:17:42,280 Speaker 2: Battered? 402 00:17:42,440 --> 00:17:45,320 Speaker 1: Yeah? Oh, battered with like a like a crust or something. 403 00:17:45,560 --> 00:17:48,159 Speaker 1: The well, you know, with Marx Sanchez being in the 404 00:17:48,160 --> 00:17:50,399 Speaker 1: news and then somebody said that he was battered, you know. 405 00:17:50,440 --> 00:17:52,119 Speaker 1: I saw that. I just had this image of like 406 00:17:52,160 --> 00:17:56,320 Speaker 1: Mark Sanchez dipped in tempora and fried or his victims. 407 00:17:56,359 --> 00:17:57,159 Speaker 1: Somebody was battered. 408 00:17:57,200 --> 00:18:00,359 Speaker 3: I wonder what happened there. That's another story. That's another 409 00:18:00,359 --> 00:18:02,640 Speaker 3: story for another time, but interesting. 410 00:18:02,800 --> 00:18:05,040 Speaker 1: I'm still really confused about it. It hasn't come out. More 411 00:18:05,080 --> 00:18:07,520 Speaker 1: will come out, but that one, Yeah, that one definitely 412 00:18:07,560 --> 00:18:09,160 Speaker 1: threw me for a loop. I think the food angle 413 00:18:09,160 --> 00:18:11,080 Speaker 1: there is that he was hungry and it was the 414 00:18:11,080 --> 00:18:14,120 Speaker 1: DoorDash driver who he battered, and then. 415 00:18:14,160 --> 00:18:15,080 Speaker 2: He was an old man. 416 00:18:15,240 --> 00:18:17,680 Speaker 1: He was an old man, and then he stabbed him. 417 00:18:17,480 --> 00:18:19,439 Speaker 2: Good I mean, not good for him. It's just a 418 00:18:19,480 --> 00:18:20,800 Speaker 2: weird story for him. 419 00:18:21,080 --> 00:18:24,359 Speaker 3: No, I meant, like you, Cancel was protecting himself. I 420 00:18:24,359 --> 00:18:26,240 Speaker 3: don't know the situation, so none of us do. 421 00:18:26,400 --> 00:18:28,159 Speaker 1: None of us know the situation. But one of the 422 00:18:28,160 --> 00:18:30,600 Speaker 1: facts that is apparent is that he was ordering door 423 00:18:30,640 --> 00:18:33,879 Speaker 1: Dash past midnight. When you ordered door Dash past midnight, 424 00:18:33,960 --> 00:18:36,760 Speaker 1: unless you're an overnight worker, that's never good. 425 00:18:36,920 --> 00:18:37,840 Speaker 2: It's never a good sign. 426 00:18:37,840 --> 00:18:39,520 Speaker 1: It's never a good sign. You know that. One time 427 00:18:39,920 --> 00:18:43,600 Speaker 1: and I ordered we ordered door Dash past midnight. This 428 00:18:43,720 --> 00:18:47,680 Speaker 1: was before we had kids, and we were certainly overserved 429 00:18:47,760 --> 00:18:51,560 Speaker 1: and we somehow ordered seventy three dollars worth of Del Taco. 430 00:18:52,000 --> 00:18:55,560 Speaker 2: And we found it. We started door the next morning morning. 431 00:18:56,119 --> 00:18:56,760 Speaker 2: Who ordered this? 432 00:18:57,040 --> 00:19:00,080 Speaker 1: Yeah, this is somebody pranked us. So we had a 433 00:19:00,160 --> 00:19:03,040 Speaker 1: breakfast that morning. Nothing like eight hour old, well six 434 00:19:03,080 --> 00:19:05,240 Speaker 1: hour old Del Taco that's been sitting out that bean 435 00:19:05,320 --> 00:19:07,400 Speaker 1: rice and cheese. Oh they don't have rice. Why don't 436 00:19:07,440 --> 00:19:09,639 Speaker 1: they do bean rice and cheese burritos at Del Taco? 437 00:19:10,160 --> 00:19:11,560 Speaker 2: They do? Oh no they don't. 438 00:19:11,600 --> 00:19:15,000 Speaker 3: That's a l poyol Loco El Poyo Loko, which they 439 00:19:15,000 --> 00:19:16,560 Speaker 3: closed the one down by us, and they did. 440 00:19:16,720 --> 00:19:18,800 Speaker 1: They replaced it with a Starbucks. 441 00:19:18,200 --> 00:19:20,760 Speaker 3: With another Starbucks. Not like there's one on every corner. 442 00:19:20,840 --> 00:19:22,840 Speaker 1: I know. It's like people just cannot They won't do 443 00:19:22,880 --> 00:19:24,639 Speaker 1: a U turn to reach the Starbucks. They have to 444 00:19:24,640 --> 00:19:26,399 Speaker 1: put a Starbucks on both sides of the street. 445 00:19:26,440 --> 00:19:29,200 Speaker 2: Ex hilarious darned coffee. 446 00:19:29,320 --> 00:19:31,800 Speaker 1: So yeah, the Arby's. I will say this about Arby's. 447 00:19:31,800 --> 00:19:32,919 Speaker 1: When I was in college, I used to go and 448 00:19:32,920 --> 00:19:35,760 Speaker 1: get the Rarby Sandwich all the time. I didn't love it, 449 00:19:36,040 --> 00:19:37,760 Speaker 1: you know. I knew that the meat was like fake 450 00:19:37,840 --> 00:19:39,760 Speaker 1: and it was kind of and the bun was horrible, 451 00:19:39,800 --> 00:19:42,520 Speaker 1: But I actually liked the arby sauce the Horsey sauce too, 452 00:19:42,600 --> 00:19:45,320 Speaker 1: so I indulge in Arby's from time to time. There 453 00:19:45,440 --> 00:19:47,800 Speaker 1: is an old school Arby's right on Edinger and Beach 454 00:19:47,800 --> 00:19:50,800 Speaker 1: Boulevard and Huntington Beach with the original neon sign that's 455 00:19:50,880 --> 00:19:53,919 Speaker 1: really cool. Every single time I drive by, it's empty. 456 00:19:54,320 --> 00:19:57,600 Speaker 3: I don't know one single person who eats at Arby's. 457 00:19:57,640 --> 00:20:00,560 Speaker 3: I'm I'm just wondering how they're still around. 458 00:20:02,760 --> 00:20:06,520 Speaker 1: I don't know. Arby's was bought out by Rourke Capital 459 00:20:06,840 --> 00:20:09,240 Speaker 1: for like a billion dollars or so out. I mean, 460 00:20:09,280 --> 00:20:11,560 Speaker 1: it's obviously a legacy brand that's got a lot of value. 461 00:20:11,600 --> 00:20:13,760 Speaker 1: But wouldn't it just be so cool if arby See 462 00:20:13,760 --> 00:20:15,720 Speaker 1: this is what I say about all the fast food brands. 463 00:20:15,800 --> 00:20:17,800 Speaker 1: People are focusing on what they're eating. This is the 464 00:20:17,840 --> 00:20:20,000 Speaker 1: first time in thirty years where people are actually asking 465 00:20:20,040 --> 00:20:22,240 Speaker 1: where does our food come from? Thus the genesis of 466 00:20:22,280 --> 00:20:24,159 Speaker 1: this podcast, because we think people want to hear more 467 00:20:24,200 --> 00:20:27,040 Speaker 1: about food. Why wouldn't one of these major fast food brands, 468 00:20:27,119 --> 00:20:29,719 Speaker 1: especially one that's got declining sales and is already at 469 00:20:29,760 --> 00:20:32,199 Speaker 1: risk and going into a chapter eleven or having some 470 00:20:32,240 --> 00:20:34,360 Speaker 1: sort of a buyout. Why wouldn't they say, you know what, 471 00:20:34,560 --> 00:20:37,879 Speaker 1: we're gonna do freshly sliced roast beef in house, Like 472 00:20:37,880 --> 00:20:40,080 Speaker 1: we're gonna flip the system upside down, go back to 473 00:20:40,119 --> 00:20:42,920 Speaker 1: what like McDonald's was originally intended for. They were cooking 474 00:20:42,920 --> 00:20:45,560 Speaker 1: the burgers fresh on site right there, very in and 475 00:20:45,600 --> 00:20:49,160 Speaker 1: out style. Yes, and let's Steak and Shake is kind 476 00:20:49,160 --> 00:20:51,280 Speaker 1: of doing that a little bit. They're leaning into the 477 00:20:51,320 --> 00:20:53,720 Speaker 1: tallow thing, but they're still buying pre cut fries that 478 00:20:53,760 --> 00:20:56,040 Speaker 1: are poached in seed oil and then fried in tallow. 479 00:20:56,280 --> 00:20:58,320 Speaker 1: Once again, not going to trash them for that. At 480 00:20:58,400 --> 00:21:00,639 Speaker 1: least they're taking a step in the right direct. But 481 00:21:00,920 --> 00:21:03,520 Speaker 1: why isn't one of these brands who's trying to reincarnate 482 00:21:03,560 --> 00:21:04,840 Speaker 1: themselves doing it? Though? 483 00:21:04,880 --> 00:21:07,520 Speaker 2: Well, maybe that's why they're coming out with the steak nuggets. 484 00:21:07,119 --> 00:21:09,840 Speaker 1: The steak nuggets that are probably like seventy percent steak 485 00:21:09,880 --> 00:21:10,440 Speaker 1: and thirty percent. 486 00:21:10,640 --> 00:21:13,560 Speaker 3: Okay, we we should go buy these, that's what we'll do. 487 00:21:13,800 --> 00:21:15,439 Speaker 3: We'll buy them, not the Machi pizza. 488 00:21:15,440 --> 00:21:17,440 Speaker 2: I can't. I'm not spending my money on buy the Manopza. 489 00:21:17,480 --> 00:21:19,119 Speaker 2: Oh dear. Anyway, we should buy them and see how 490 00:21:19,160 --> 00:21:19,480 Speaker 2: they are. 491 00:21:19,880 --> 00:21:23,359 Speaker 3: What the Fork, What the Fork? Andrew, what is the latest? 492 00:21:23,359 --> 00:21:24,000 Speaker 3: What the Fork? 493 00:21:24,520 --> 00:21:28,480 Speaker 1: WTF Crazy food stories? This one's wild. It is so 494 00:21:29,040 --> 00:21:31,040 Speaker 1: we might even have to touch on this into one 495 00:21:31,119 --> 00:21:34,800 Speaker 1: of the next segments because Guy Fieri's tequila heist, Louren, 496 00:21:34,800 --> 00:21:36,600 Speaker 1: why don't you tell us about this one? This one 497 00:21:36,640 --> 00:21:37,760 Speaker 1: is wild. 498 00:21:37,880 --> 00:21:41,159 Speaker 3: So there was two semi trucks full of Guy Fieri 499 00:21:41,200 --> 00:21:46,000 Speaker 3: and Sammy Hagar's tequila brand and they went missing full trucks. 500 00:21:46,040 --> 00:21:48,360 Speaker 1: Right, So this was your entire production. This took three 501 00:21:48,359 --> 00:21:51,320 Speaker 1: and a half years, it was, right. So the tequila 502 00:21:51,400 --> 00:21:53,040 Speaker 1: they got to go in. They got to buy the farm, 503 00:21:53,240 --> 00:21:54,760 Speaker 1: not to buy the farm, but they got to invest 504 00:21:54,760 --> 00:21:56,399 Speaker 1: in the farm in Mexico. And then they've got to 505 00:21:56,400 --> 00:21:58,399 Speaker 1: make the tequila. And it takes so long. So just 506 00:21:58,480 --> 00:22:00,600 Speaker 1: imagine three and a half years of production and filling 507 00:22:00,680 --> 00:22:02,399 Speaker 1: two semi trucks that they were going to roll this 508 00:22:02,440 --> 00:22:05,840 Speaker 1: product out into the holidays of twenty twenty five. Now 509 00:22:05,880 --> 00:22:09,160 Speaker 1: they go through a logistics company in order to truck 510 00:22:09,200 --> 00:22:11,800 Speaker 1: it across the Mexican border, and what happens. 511 00:22:12,200 --> 00:22:13,760 Speaker 2: So this is interesting. 512 00:22:13,800 --> 00:22:16,760 Speaker 3: So say it was supposed to be delivered on a Friday, right, 513 00:22:17,760 --> 00:22:21,040 Speaker 3: then the trucking company started sending more excuses about why 514 00:22:21,119 --> 00:22:23,199 Speaker 3: it was late, right to. 515 00:22:23,280 --> 00:22:26,480 Speaker 1: The CEO to the Semi and Guy Fieri company. 516 00:22:26,920 --> 00:22:29,560 Speaker 3: So they start sending them pictures of the Semi truck 517 00:22:29,640 --> 00:22:32,240 Speaker 3: broken down on the side of the road. They're tracking 518 00:22:32,240 --> 00:22:34,400 Speaker 3: them on GPS, and it looks like they're on their 519 00:22:34,440 --> 00:22:38,000 Speaker 3: way to I think it was Pennsylvania where their warehouse was, 520 00:22:38,760 --> 00:22:42,160 Speaker 3: and they're still not there. And it's just the weirdest 521 00:22:42,200 --> 00:22:45,959 Speaker 3: story because it involves so many layers and so many people. 522 00:22:46,359 --> 00:22:47,879 Speaker 3: But why would you Also, what are you doing with 523 00:22:47,920 --> 00:22:48,719 Speaker 3: all tequila? 524 00:22:48,720 --> 00:22:51,520 Speaker 1: That's a good questions, But so people understand what happened 525 00:22:51,560 --> 00:22:54,800 Speaker 1: is is that so when you're bringing all these products 526 00:22:54,800 --> 00:22:57,119 Speaker 1: in from another country or from another part of the country, 527 00:22:57,119 --> 00:23:00,960 Speaker 1: you're using these like broker logistics companies, trucking companies, right, 528 00:23:01,000 --> 00:23:03,080 Speaker 1: so then they'll they'll be the hauler, they'll bring it 529 00:23:03,119 --> 00:23:05,359 Speaker 1: across and then they'll drop it either with another distributor. 530 00:23:05,359 --> 00:23:07,560 Speaker 1: But what happens is some of these people subcontract or 531 00:23:07,600 --> 00:23:11,760 Speaker 1: subbroker So you have like layers of trucking companies that 532 00:23:11,960 --> 00:23:16,359 Speaker 1: and brokerage companies that are getting subcontracted, which we've seen, 533 00:23:16,440 --> 00:23:18,360 Speaker 1: like trucking is a very difficult industry. 534 00:23:18,520 --> 00:23:20,560 Speaker 3: I mean, you hear all the horror stories with even 535 00:23:20,680 --> 00:23:22,760 Speaker 3: moving across the country all the you know, these trucks 536 00:23:22,800 --> 00:23:24,800 Speaker 3: just disappear full of your belongings. 537 00:23:24,920 --> 00:23:28,000 Speaker 1: So apparently this is like there's some true crime associated 538 00:23:28,040 --> 00:23:30,440 Speaker 1: with these brokerage companies. So there are these fake companies 539 00:23:30,440 --> 00:23:33,280 Speaker 1: that create fake company names, fake websites, fake. 540 00:23:33,160 --> 00:23:36,639 Speaker 3: Legs, email addresses, phone numbers, and they look legit. 541 00:23:36,880 --> 00:23:40,600 Speaker 1: So then use broker out to them and then they 542 00:23:40,640 --> 00:23:43,520 Speaker 1: basically they abscond with whatever the goods are that are 543 00:23:43,520 --> 00:23:48,040 Speaker 1: in the truck. And even they're even so highly refined 544 00:23:48,040 --> 00:23:51,159 Speaker 1: in their approach that they're creating a fake GPS. 545 00:23:51,359 --> 00:23:54,159 Speaker 3: Yes, so the thieves had manipulated the GPS to make 546 00:23:54,200 --> 00:23:56,360 Speaker 3: it look like the tequila was still on its way 547 00:23:56,400 --> 00:23:57,200 Speaker 3: to Pennsylvania. 548 00:23:57,440 --> 00:24:00,359 Speaker 1: Yeah, so now I guess my question is what are 549 00:24:00,359 --> 00:24:02,359 Speaker 1: they doing with this tequila? Where's it going? Are they 550 00:24:02,359 --> 00:24:04,600 Speaker 1: bringing it back to Mexico and then selling it there? 551 00:24:05,080 --> 00:24:07,240 Speaker 2: I mean, why would they do that? I don't know, 552 00:24:07,240 --> 00:24:08,280 Speaker 2: I mean, I don't know what they're doing. 553 00:24:08,320 --> 00:24:09,880 Speaker 1: That would be the only place in which they could 554 00:24:09,920 --> 00:24:11,600 Speaker 1: sell it, because if they try and sell it anywhere 555 00:24:11,600 --> 00:24:13,199 Speaker 1: in the United States, it's obviously going to have the 556 00:24:13,240 --> 00:24:17,840 Speaker 1: brand on the tequila unless they relabel it and sell 557 00:24:17,880 --> 00:24:19,560 Speaker 1: it as something else. But then there's going to need 558 00:24:19,560 --> 00:24:20,640 Speaker 1: to be some change of customers. 559 00:24:20,640 --> 00:24:23,720 Speaker 2: I think it passed the US Mexico border. 560 00:24:23,400 --> 00:24:26,360 Speaker 1: Initially coming in. I'm sure it'd be easier to get 561 00:24:26,359 --> 00:24:26,679 Speaker 1: back in. 562 00:24:26,760 --> 00:24:29,440 Speaker 3: So then they just turned around, and yeah, that's that's 563 00:24:29,480 --> 00:24:30,000 Speaker 3: your thoughts on. 564 00:24:30,200 --> 00:24:31,919 Speaker 1: My thoughts is they turn around bring it to Mexico 565 00:24:31,960 --> 00:24:34,440 Speaker 1: and sell it there because there's they don't there's less 566 00:24:34,480 --> 00:24:36,400 Speaker 1: requirements on that chain of custody there. 567 00:24:37,240 --> 00:24:39,880 Speaker 3: This is just really really weird. I mean the levels 568 00:24:39,880 --> 00:24:42,399 Speaker 3: in which people go to to steal and. 569 00:24:42,480 --> 00:24:45,680 Speaker 1: But but Guy Fieri and Sammy Hagar, I mean, who 570 00:24:45,720 --> 00:24:48,000 Speaker 1: knows if they have enough insurance to cover this obviously, 571 00:24:48,080 --> 00:24:52,320 Speaker 1: like you know, this by all measures, even though they're 572 00:24:52,359 --> 00:24:55,720 Speaker 1: both very successful, this is still a small business. So 573 00:24:55,800 --> 00:24:57,520 Speaker 1: this is their entire product. 574 00:24:57,200 --> 00:25:00,800 Speaker 3: Line, which is why they're using you know, secondary truck 575 00:25:01,119 --> 00:25:04,120 Speaker 3: exactly because they don't have their you know, they don't 576 00:25:04,119 --> 00:25:07,880 Speaker 3: have their own distribution center, you know, with all their trucks. 577 00:25:08,080 --> 00:25:11,200 Speaker 1: Yeah, so this is a weird one. I think that also, 578 00:25:12,200 --> 00:25:14,560 Speaker 1: I Lauren and I always joke about like there's and 579 00:25:14,760 --> 00:25:17,280 Speaker 1: this maybe should become a new segment on the show, 580 00:25:17,440 --> 00:25:19,480 Speaker 1: or all the restaurant scams and all the food scams 581 00:25:19,600 --> 00:25:21,760 Speaker 1: or business scams in general, because we've seen it all. 582 00:25:22,119 --> 00:25:24,119 Speaker 1: One of the ones that we got hit with, uh 583 00:25:24,480 --> 00:25:26,080 Speaker 1: was the is the utility scam? 584 00:25:26,600 --> 00:25:27,479 Speaker 2: Oh my gosh. 585 00:25:27,520 --> 00:25:30,120 Speaker 3: So we get this phone call and I'll keep this short, 586 00:25:30,160 --> 00:25:32,199 Speaker 3: but we get this phone call from so Cal Gas 587 00:25:32,640 --> 00:25:34,600 Speaker 3: and it has their number, it has you know, the 588 00:25:34,640 --> 00:25:36,840 Speaker 3: caller idea so cal Gas. They're telling us we didn't 589 00:25:36,880 --> 00:25:38,840 Speaker 3: pay a bill. They have a guy down the street 590 00:25:38,880 --> 00:25:40,960 Speaker 3: ready to shut off our gas, but they'll give us, 591 00:25:41,040 --> 00:25:42,919 Speaker 3: you know, an hour to pay the bill. And I'm like, 592 00:25:42,960 --> 00:25:46,440 Speaker 3: this doesn't sound right. We're on auto pay. I don't understand. 593 00:25:46,800 --> 00:25:48,399 Speaker 3: And so I'm like, why are they calling me? 594 00:25:48,480 --> 00:25:49,280 Speaker 2: But it looks. 595 00:25:49,480 --> 00:25:52,159 Speaker 3: Legitimate, it looks real. So I end up calling so 596 00:25:52,280 --> 00:25:55,240 Speaker 3: cal Gas, like I call myself because I'm like, something 597 00:25:55,320 --> 00:25:59,040 Speaker 3: is not right. And long story short, They're like, no, 598 00:25:59,240 --> 00:26:02,400 Speaker 3: your bill is paid, everything's fine. People are doing this now. 599 00:26:02,440 --> 00:26:06,040 Speaker 3: They can somehow manipulate the caller ID to show the 600 00:26:06,080 --> 00:26:10,359 Speaker 3: phone number and ID to show so cal Gas. So 601 00:26:10,480 --> 00:26:12,879 Speaker 3: I'm thinking, if you and I weren't, you know, on 602 00:26:12,960 --> 00:26:15,400 Speaker 3: top of our stuff, you know, we would have fallen 603 00:26:15,480 --> 00:26:17,719 Speaker 3: for it and then paid whoever it was, you know, 604 00:26:17,760 --> 00:26:20,280 Speaker 3: the the three thousand dollars or whatever they were saying 605 00:26:20,280 --> 00:26:21,480 Speaker 3: we owed them. 606 00:26:22,240 --> 00:26:25,160 Speaker 1: That is and so many restaurants have been hit hard 607 00:26:25,240 --> 00:26:27,520 Speaker 1: with that utility scam. That's that's a tough one. 608 00:26:27,560 --> 00:26:29,919 Speaker 3: Well, they call you in the middle of service. You're thinking, 609 00:26:29,920 --> 00:26:31,359 Speaker 3: oh my gosh, what am I going to do. We 610 00:26:31,359 --> 00:26:33,280 Speaker 3: have a dining room full of people like, oh my gosh, 611 00:26:33,320 --> 00:26:35,399 Speaker 3: I need to pay this. The one thing that tipped 612 00:26:35,400 --> 00:26:38,280 Speaker 3: me off was you can pay to this phone number, 613 00:26:38,880 --> 00:26:41,280 Speaker 3: and they go, you can pay through Zell And I said, 614 00:26:41,320 --> 00:26:44,560 Speaker 3: why would I pay you through Zell? That makes no sense. 615 00:26:44,600 --> 00:26:46,960 Speaker 3: Give me the website. Oh no, no, no, this is 616 00:26:46,960 --> 00:26:48,880 Speaker 3: the quickest way to do it. And I'm like, yeah, 617 00:26:48,960 --> 00:26:50,879 Speaker 3: I don't know. I don't know about that. 618 00:26:51,600 --> 00:26:53,520 Speaker 1: Yeah, this is this is a wild one. And we 619 00:26:53,520 --> 00:26:55,040 Speaker 1: could go into some of these stories, and I think 620 00:26:55,040 --> 00:26:57,439 Speaker 1: we should start doing that every couple of weeks. But 621 00:26:57,520 --> 00:26:59,159 Speaker 1: you know, we want to keep this tight here, so 622 00:26:59,240 --> 00:27:01,720 Speaker 1: let's maybe move on to the next one. Let's talk 623 00:27:01,760 --> 00:27:03,560 Speaker 1: about sharpening your skills. 624 00:27:04,240 --> 00:27:06,119 Speaker 2: What do you got, baby, what do you got? No, 625 00:27:06,320 --> 00:27:07,080 Speaker 2: what do you got? 626 00:27:07,280 --> 00:27:09,320 Speaker 1: Oh my god, I got so many Sharpening your skills 627 00:27:09,320 --> 00:27:11,240 Speaker 1: ones on this. So we cook a lot of ground beef, 628 00:27:11,359 --> 00:27:15,240 Speaker 1: and ground beef is relatively inexpensive compared to all the 629 00:27:15,320 --> 00:27:17,280 Speaker 1: rest of the different cuts of meat. Right now, one 630 00:27:17,280 --> 00:27:18,960 Speaker 1: of the things people do with the ground beef is 631 00:27:19,200 --> 00:27:21,639 Speaker 1: that they steam their meat, right because what happens is 632 00:27:21,680 --> 00:27:23,960 Speaker 1: you put the ground beef in a small pan and 633 00:27:24,000 --> 00:27:25,840 Speaker 1: then you keep stirring and string and string, and it 634 00:27:25,840 --> 00:27:27,600 Speaker 1: can never really get hot enough, and then it kind 635 00:27:27,600 --> 00:27:29,560 Speaker 1: of steams, so you've got this watery mess of like 636 00:27:29,640 --> 00:27:32,040 Speaker 1: gray ground beef, and then maybe you mix it into 637 00:27:32,040 --> 00:27:34,840 Speaker 1: a sauce. The key with creating a lot of flavor 638 00:27:34,880 --> 00:27:37,399 Speaker 1: in the ground beef is to actually brown the ground beef. 639 00:27:37,640 --> 00:27:39,320 Speaker 1: And it should be easy to do because if you 640 00:27:39,320 --> 00:27:41,480 Speaker 1: think about it, there's actually a ton of surface area 641 00:27:41,520 --> 00:27:43,880 Speaker 1: in the ground beef. So one suggestion that I'll give 642 00:27:43,920 --> 00:27:46,560 Speaker 1: everybody with their ground beef is that when you put 643 00:27:46,560 --> 00:27:48,800 Speaker 1: it in the pan, spread it out across the pan, 644 00:27:49,280 --> 00:27:52,520 Speaker 1: blast the heat up. You can even throw a little 645 00:27:52,600 --> 00:27:54,960 Speaker 1: doll up of whole butter in there because that'll help 646 00:27:55,960 --> 00:27:58,560 Speaker 1: accelerate the browning processes. The milk solis in the butter 647 00:27:58,600 --> 00:28:02,440 Speaker 1: brown and then don't touch it. Let it be right, 648 00:28:02,600 --> 00:28:05,320 Speaker 1: just let it see it almost as if that layer 649 00:28:05,359 --> 00:28:07,600 Speaker 1: of beef in the pan is a piece of steak 650 00:28:07,640 --> 00:28:11,000 Speaker 1: that's seering. And then stir it after about I don't know, 651 00:28:11,040 --> 00:28:12,320 Speaker 1: you want it to see it for like a good 652 00:28:12,359 --> 00:28:15,160 Speaker 1: four or five minutes. Don't be afraid, don't constantly stir 653 00:28:15,240 --> 00:28:17,400 Speaker 1: your ground beef. Then give it a stir at the end, 654 00:28:17,560 --> 00:28:20,080 Speaker 1: because then the deep flavor that you're gonna get from 655 00:28:20,119 --> 00:28:22,960 Speaker 1: what's called that mallard browning, when the amino acids in 656 00:28:23,000 --> 00:28:26,040 Speaker 1: the protein's actually brown on the exterior, is going to 657 00:28:26,080 --> 00:28:29,240 Speaker 1: be unbelievable. So that's my trick right there, is with 658 00:28:29,280 --> 00:28:31,840 Speaker 1: ground beef. And I also suggest what everybody do is 659 00:28:31,840 --> 00:28:34,040 Speaker 1: is that cook a lot of ground beef in batches, 660 00:28:34,119 --> 00:28:36,080 Speaker 1: leave it in your refrigerator, and then use the ground 661 00:28:36,080 --> 00:28:39,160 Speaker 1: beef to like fold into sauces, fold into salads, fold 662 00:28:39,200 --> 00:28:41,280 Speaker 1: into different dishes. It's a great way to get high 663 00:28:41,320 --> 00:28:44,120 Speaker 1: quality protein without spending a ton of money. 664 00:28:44,760 --> 00:28:47,719 Speaker 2: I love it all right, let's do eighty six it. 665 00:28:47,840 --> 00:28:48,480 Speaker 2: What do you got? 666 00:28:48,960 --> 00:28:50,880 Speaker 1: Well? My eighty six it for this week. Things that 667 00:28:50,920 --> 00:28:55,239 Speaker 1: we think need to go is the is low quality oil, well, 668 00:28:55,280 --> 00:28:57,960 Speaker 1: truffle oil in general, anything truffle and I've talked about 669 00:28:57,960 --> 00:29:01,760 Speaker 1: this at length, but like truffle fry is drizzling truffle 670 00:29:01,760 --> 00:29:04,960 Speaker 1: oil over the food, like everything. Truffle, which you'll find 671 00:29:05,000 --> 00:29:07,880 Speaker 1: now at you know, most casual restaurants, is like the 672 00:29:07,880 --> 00:29:11,520 Speaker 1: truffled fries what have you? All that is is basically 673 00:29:11,880 --> 00:29:16,400 Speaker 1: like it's a truffle perfume that they use by soaking whole, 674 00:29:16,440 --> 00:29:19,520 Speaker 1: real fresh truffles to get that perfume out, and then 675 00:29:19,520 --> 00:29:23,600 Speaker 1: they emulsify it with like a really really low quality oil, 676 00:29:23,680 --> 00:29:26,400 Speaker 1: like a vegetable oil, and then you're drizzling it all 677 00:29:26,440 --> 00:29:28,520 Speaker 1: over everything. If you're gonna eat truffles, you're going to 678 00:29:28,640 --> 00:29:32,080 Speaker 1: enjoy truffles. Get the real thing, or like even the 679 00:29:32,160 --> 00:29:34,440 Speaker 1: canned hole truffles, and then chop it up and mix 680 00:29:34,480 --> 00:29:36,880 Speaker 1: it in yourself. Black truffles hard to find, white truffles 681 00:29:36,920 --> 00:29:39,240 Speaker 1: in that in that manner. I don't like the truffle 682 00:29:39,280 --> 00:29:39,800 Speaker 1: oil trend. 683 00:29:40,080 --> 00:29:40,640 Speaker 2: I don't either. 684 00:29:41,160 --> 00:29:44,240 Speaker 3: It kind of smells and tastes like gasoline, Like what 685 00:29:44,360 --> 00:29:45,320 Speaker 3: I imagine gasol. 686 00:29:45,720 --> 00:29:48,440 Speaker 1: When the last time you smelled gasoline, well smell it 687 00:29:48,480 --> 00:29:50,120 Speaker 1: and not smell it, but well when the last time 688 00:29:50,120 --> 00:29:52,160 Speaker 1: you tasted it. I have never tasted what's what do 689 00:29:52,160 --> 00:29:53,600 Speaker 1: you want to see? Go? What's your eighty six? It? 690 00:29:53,840 --> 00:29:58,200 Speaker 3: I cannot stand ASMR. There's certain things I like, but 691 00:29:58,440 --> 00:29:59,960 Speaker 3: the clicking of the name. 692 00:30:00,280 --> 00:30:02,640 Speaker 1: What's ASMR? It's those For those that don't know. 693 00:30:02,600 --> 00:30:05,200 Speaker 3: It's like the sounds like, you know, somebody's doing their 694 00:30:05,280 --> 00:30:07,600 Speaker 3: get ready with me today, and then they're clicking on 695 00:30:07,720 --> 00:30:11,720 Speaker 3: every every product with their nails and or ripping open 696 00:30:11,720 --> 00:30:14,120 Speaker 3: a package, and I'm like, what is happen? I can't 697 00:30:14,120 --> 00:30:16,160 Speaker 3: stand it for some reason, but it's so funny. There's 698 00:30:16,200 --> 00:30:19,640 Speaker 3: actually something came up in the New York Post about this. 699 00:30:19,640 --> 00:30:23,520 Speaker 3: This ASMR spa doesn't do massages, but will scratch your head, 700 00:30:23,840 --> 00:30:26,560 Speaker 3: brush you with feathers, and whisper in your ear. For 701 00:30:26,600 --> 00:30:29,280 Speaker 3: one hundred and fifty dollars. Just put a fork in me. 702 00:30:29,320 --> 00:30:30,160 Speaker 3: I would never do that. 703 00:30:30,360 --> 00:30:32,440 Speaker 1: Put a fork in me? What the fork? Just so 704 00:30:32,520 --> 00:30:38,240 Speaker 1: you guys know, ASMR stands for autotonomous sensory meridian response whatever. 705 00:30:38,240 --> 00:30:41,520 Speaker 1: I don't know why meridian's in there. It's that tingling, 706 00:30:41,640 --> 00:30:44,320 Speaker 1: calming sensation some people feel in their scalp, neck or 707 00:30:44,320 --> 00:30:46,720 Speaker 1: spine when they hear certain softer, repetitive sounds. 708 00:30:46,800 --> 00:30:47,880 Speaker 2: That has never happened to me. 709 00:30:48,120 --> 00:30:49,880 Speaker 1: No, I've had that like every now and then. That's 710 00:30:49,920 --> 00:30:51,440 Speaker 1: like when you're like, oh, touch my back or what 711 00:30:51,560 --> 00:30:54,200 Speaker 1: have you? Like, that's I don't know why you give 712 00:30:54,240 --> 00:30:56,240 Speaker 1: me that look. She'll say. She'll be like, touch my back. 713 00:30:56,360 --> 00:30:57,640 Speaker 2: I'll say, we're not touch my back. 714 00:30:57,640 --> 00:31:00,960 Speaker 1: I'll back dump dump some hot ground beef on my back. 715 00:31:01,000 --> 00:31:05,040 Speaker 1: I think that's ASMR yeah, or that's WTF. But whispering 716 00:31:05,120 --> 00:31:07,959 Speaker 1: or soft speaking, tapping, page, turning, paper crinkly and all 717 00:31:07,960 --> 00:31:11,000 Speaker 1: that weird stuff, and it's gone once again. People take 718 00:31:11,040 --> 00:31:13,720 Speaker 1: things too far. Every single YouTube video now is like 719 00:31:13,720 --> 00:31:14,920 Speaker 1: some weirdo going. 720 00:31:16,520 --> 00:31:19,040 Speaker 3: No, they're clicking, they're using their nails, or there's this 721 00:31:19,120 --> 00:31:23,040 Speaker 3: new thing of people are doing get like unready with me, 722 00:31:23,480 --> 00:31:25,520 Speaker 3: Like in the morning, I forget exactly what it's called. 723 00:31:25,600 --> 00:31:27,160 Speaker 1: We've lost our collective minds. 724 00:31:26,920 --> 00:31:29,480 Speaker 3: You like people have, you know, they start taking off 725 00:31:29,680 --> 00:31:32,920 Speaker 3: these masks and they're wearing chin straps and mouth tape 726 00:31:32,960 --> 00:31:35,440 Speaker 3: and like this crazy like heatless. 727 00:31:35,000 --> 00:31:36,800 Speaker 2: Curls, And I'm like, what imagine if I went to 728 00:31:36,840 --> 00:31:37,240 Speaker 2: bed like that? 729 00:31:37,400 --> 00:31:38,880 Speaker 3: Oh wait, so they go to bed, they go to 730 00:31:38,920 --> 00:31:40,840 Speaker 3: bed with everything on, and then they take it off 731 00:31:40,920 --> 00:31:42,880 Speaker 3: in the morning. And but it's it's all the noises 732 00:31:42,920 --> 00:31:44,320 Speaker 3: they're using the ASMR noises. 733 00:31:44,320 --> 00:31:45,160 Speaker 2: It trives me insane. 734 00:31:45,240 --> 00:31:46,920 Speaker 1: What just happened to go into bed with a couple 735 00:31:46,960 --> 00:31:48,960 Speaker 1: of fat pieces of cucumber on your eyelids? 736 00:31:49,080 --> 00:31:49,920 Speaker 2: Yeah? What the heck? 737 00:31:50,240 --> 00:31:51,680 Speaker 1: You used to do that and I'd wake up It's 738 00:31:51,720 --> 00:31:52,080 Speaker 1: so funny. 739 00:31:52,200 --> 00:31:52,760 Speaker 2: Never done. 740 00:31:53,160 --> 00:31:55,080 Speaker 1: Late, go to bed with cucumbers on our eyes and 741 00:31:55,080 --> 00:31:56,840 Speaker 1: by the time I rolled over on them three or 742 00:31:56,840 --> 00:31:58,960 Speaker 1: four times we woke up we had pickles in the bed. 743 00:32:00,360 --> 00:32:00,640 Speaker 3: What. 744 00:32:01,040 --> 00:32:04,200 Speaker 2: Okay, first of all, none of this is true. Don't 745 00:32:04,240 --> 00:32:06,920 Speaker 2: listen to him ASMR. 746 00:32:07,200 --> 00:32:09,040 Speaker 1: So this is ASMR. I'm gonna finalize it. 747 00:32:09,080 --> 00:32:13,160 Speaker 2: Ready, that's not like this. 748 00:32:16,080 --> 00:32:18,160 Speaker 1: Oh my gosh, it's blowing my mind. 749 00:32:18,480 --> 00:32:19,360 Speaker 2: Is your head tingling? 750 00:32:19,880 --> 00:32:23,760 Speaker 1: Yeah? Because I have a tension headache. Well, on that note, 751 00:32:23,760 --> 00:32:26,240 Speaker 1: why don't you guys give us what your favorite or 752 00:32:26,360 --> 00:32:28,800 Speaker 1: least favorite items are? Just give us some more stuff 753 00:32:28,800 --> 00:32:30,440 Speaker 1: to talk about. We want you to be involved in this. 754 00:32:30,720 --> 00:32:32,760 Speaker 1: You can, obviously. The best way to communicate with us 755 00:32:32,800 --> 00:32:33,040 Speaker 1: is on. 756 00:32:33,280 --> 00:32:35,160 Speaker 2: X at Chef Grol at Lauren Girl. 757 00:32:35,600 --> 00:32:38,120 Speaker 1: You can email us. That's I'm actually I'm not gonna 758 00:32:38,120 --> 00:32:41,400 Speaker 1: put my email app email. People say email us whatever, Yeah, 759 00:32:41,400 --> 00:32:43,840 Speaker 1: follow us at X. But most importantly, make sure that 760 00:32:43,960 --> 00:32:48,080 Speaker 1: you follow the podcast right, so, whether you're on iHeartMedia, 761 00:32:48,160 --> 00:32:50,840 Speaker 1: the iHeartMedia app, Apple iTunes. 762 00:32:51,080 --> 00:32:53,200 Speaker 2: Spotty iTunes, Apple podcast Pod. 763 00:32:53,200 --> 00:32:56,800 Speaker 1: I'm like an old man, like where's that iTunes? But 764 00:32:57,080 --> 00:32:59,000 Speaker 1: be sure to leave us a review. That's most important. 765 00:32:59,040 --> 00:33:01,960 Speaker 1: Download the episode and just get in touch with us 766 00:33:02,000 --> 00:33:03,720 Speaker 1: and let us know what you want us to talk about. 767 00:33:03,880 --> 00:33:06,520 Speaker 2: Yeah, give us your w tfs and you're eighty six. 768 00:33:06,520 --> 00:33:09,120 Speaker 1: Eighty six, WTF what's happening today? What do you want 769 00:33:09,120 --> 00:33:11,160 Speaker 1: to saute? Deep Fried? Peer? Peer? Poach? 770 00:33:11,840 --> 00:33:12,120 Speaker 2: Wow? 771 00:33:12,240 --> 00:33:13,600 Speaker 1: Peer? What do you want to peer? 772 00:33:13,880 --> 00:33:16,120 Speaker 2: I want to I don't know. 773 00:33:16,160 --> 00:33:18,800 Speaker 1: All right, that's good. That's a wrap, ye,