1 00:00:02,840 --> 00:00:05,360 Speaker 1: And welcome back to another episode of American Gravy. 2 00:00:05,800 --> 00:00:09,000 Speaker 2: Oh yeah, the one and only show where we mix food, family, 3 00:00:09,039 --> 00:00:12,840 Speaker 2: and freedom in the same pot and somehow don't burn it. 4 00:00:13,080 --> 00:00:16,320 Speaker 1: Hey, but I'm Bump, and I'm Andrew. 5 00:00:16,000 --> 00:00:18,079 Speaker 2: Grohl and I'm Lauren Girl, and we are. 6 00:00:17,960 --> 00:00:20,640 Speaker 1: Excited to have you back. It's another exciting week, and 7 00:00:20,720 --> 00:00:22,640 Speaker 1: we've had a lot going on in the food world 8 00:00:22,640 --> 00:00:25,239 Speaker 1: and beyond since we last met. All of us in 9 00:00:25,280 --> 00:00:26,640 Speaker 1: this great audience. 10 00:00:26,840 --> 00:00:28,080 Speaker 2: I feel like they're here with us. 11 00:00:28,200 --> 00:00:30,680 Speaker 1: They are with us. There's fifty two people right here 12 00:00:30,800 --> 00:00:34,200 Speaker 1: in the room right now, Lauren, myself, and forty nine 13 00:00:34,200 --> 00:00:36,159 Speaker 1: of my alternate personalities. 14 00:00:36,600 --> 00:00:38,800 Speaker 2: This is true. Yeah, all right. 15 00:00:39,080 --> 00:00:40,559 Speaker 1: We had a lot going on this weekend. We had 16 00:00:40,560 --> 00:00:43,000 Speaker 1: some kids' birthday parties. We had We. 17 00:00:42,880 --> 00:00:45,519 Speaker 2: Had so much going on. If you don't know, I 18 00:00:45,560 --> 00:00:48,040 Speaker 2: don't know why these they would know. But three of 19 00:00:48,040 --> 00:00:50,440 Speaker 2: our kids, three out of four of our kids pretty 20 00:00:50,520 --> 00:00:52,280 Speaker 2: much have the same birthday. Two of them have the 21 00:00:52,320 --> 00:00:55,280 Speaker 2: same birthday, and the little guy is born the day after. 22 00:00:55,600 --> 00:00:57,160 Speaker 1: Well you held that one in for a while. 23 00:00:57,960 --> 00:00:59,880 Speaker 2: I did, because I went into labor with him on 24 00:01:00,080 --> 00:01:02,080 Speaker 2: their birthday and I said, there's no way of having 25 00:01:02,120 --> 00:01:03,720 Speaker 2: three kids on the same day. 26 00:01:04,319 --> 00:01:06,480 Speaker 1: That is true. We turned all the lights off and 27 00:01:06,520 --> 00:01:09,720 Speaker 1: I just put Gregorian chants and it worked out. Well. 28 00:01:09,800 --> 00:01:10,679 Speaker 2: It's very peaceful. 29 00:01:10,840 --> 00:01:13,480 Speaker 1: It was very peaceful. We also were on multiple planes. 30 00:01:14,160 --> 00:01:16,959 Speaker 2: Oh yeah, we've been all over. We've had a crazy. 31 00:01:16,640 --> 00:01:18,440 Speaker 1: Out of the country. We were out of the country. 32 00:01:18,480 --> 00:01:20,760 Speaker 1: I landed at We landed as a family at like 33 00:01:20,800 --> 00:01:23,080 Speaker 1: three pm on Friday, and I turned around and took 34 00:01:23,080 --> 00:01:26,160 Speaker 1: a red eye out at seven pm, eight pm. 35 00:01:26,720 --> 00:01:29,240 Speaker 2: Anyway, God bless him because I don't know how he 36 00:01:29,280 --> 00:01:32,319 Speaker 2: did that, just to film for five minutes, film for. 37 00:01:32,280 --> 00:01:34,640 Speaker 1: Five minutes and then turn around and. 38 00:01:34,440 --> 00:01:36,479 Speaker 2: Come back home. And then we had another birthday party. 39 00:01:36,680 --> 00:01:39,559 Speaker 1: Yeah, those birthday parties are getting crazy. All right, Kid's 40 00:01:39,600 --> 00:01:41,400 Speaker 1: birthday party. King. Sorry, we digress. 41 00:01:41,480 --> 00:01:43,640 Speaker 2: Let's jump into these stories. 42 00:01:43,319 --> 00:01:45,040 Speaker 1: All right. Well, everyone's talking about beef. 43 00:01:45,720 --> 00:01:46,399 Speaker 2: What about it? 44 00:01:46,600 --> 00:01:48,760 Speaker 1: What about beef? I've been talking about beef for years 45 00:01:48,800 --> 00:01:50,680 Speaker 1: and trying to explain to people how the beef supply 46 00:01:50,800 --> 00:01:54,040 Speaker 1: chain works. But it's come to a bit more public 47 00:01:54,120 --> 00:02:00,200 Speaker 1: light recently due to the administration's plan strategy. And when 48 00:02:00,240 --> 00:02:03,320 Speaker 1: I say administration, I mean you know it's the Trump administration. Specifically, 49 00:02:03,320 --> 00:02:07,000 Speaker 1: this is handled by Brooke rollins with the USDA and 50 00:02:07,080 --> 00:02:11,000 Speaker 1: other agencies in regards to beef prices. Right, So I 51 00:02:11,080 --> 00:02:14,120 Speaker 1: just want to lay the foundation here, set the table, 52 00:02:14,160 --> 00:02:17,600 Speaker 1: if you will. Beef prices have been going up significantly. 53 00:02:17,880 --> 00:02:20,720 Speaker 1: The reason beef prices are so high is because we 54 00:02:20,760 --> 00:02:23,360 Speaker 1: have our lowest herd size. Herd size is the number 55 00:02:23,360 --> 00:02:26,160 Speaker 1: of cattle that we have in the United States. For 56 00:02:26,280 --> 00:02:29,239 Speaker 1: point of reference, I want to say, you know, we 57 00:02:30,120 --> 00:02:34,280 Speaker 1: let's take like nineteen ninety we had I think one 58 00:02:34,320 --> 00:02:37,920 Speaker 1: hundred and fifty million cattle or herd that that would 59 00:02:37,960 --> 00:02:39,760 Speaker 1: be the herd size. Now we're down to like, I 60 00:02:39,760 --> 00:02:42,399 Speaker 1: don't know, seventy five eighty million, but it's dropped even more. 61 00:02:42,480 --> 00:02:45,160 Speaker 1: We have the lowest herd size since like twenty nineteen. 62 00:02:46,800 --> 00:02:49,440 Speaker 1: You know generally in that timeframe, why is the herd 63 00:02:49,440 --> 00:02:52,040 Speaker 1: size so low? Well, they're going to tell you it's 64 00:02:52,080 --> 00:02:55,280 Speaker 1: two things. It is the drought. There was a significant 65 00:02:55,360 --> 00:02:58,680 Speaker 1: drought which dries up all the land. And then the 66 00:02:58,760 --> 00:03:01,720 Speaker 1: cattle don't have an opportunity It feed naturally on the 67 00:03:01,760 --> 00:03:04,600 Speaker 1: grass and the hay and the grains, et cetera. And 68 00:03:04,639 --> 00:03:08,280 Speaker 1: at number two input costs. Right, so the cost of 69 00:03:08,600 --> 00:03:11,560 Speaker 1: feeding due to inflation due to coming out of the 70 00:03:11,560 --> 00:03:15,079 Speaker 1: Biden administration. The cost of soy, corn, wheat, et cetera. 71 00:03:15,639 --> 00:03:17,920 Speaker 1: That's an issue, and then all the other input costs 72 00:03:17,919 --> 00:03:20,760 Speaker 1: associated with gas. Right, so just generally the consumer price 73 00:03:20,800 --> 00:03:23,679 Speaker 1: indeed and everything that goes into it. But the problem 74 00:03:23,760 --> 00:03:27,440 Speaker 1: is is that there's also the hedging. There's looking ahead. 75 00:03:27,560 --> 00:03:29,960 Speaker 1: So cattle ranchers are going to say, well, we're looking 76 00:03:30,000 --> 00:03:33,680 Speaker 1: out three four years and we foresee costs are going 77 00:03:33,720 --> 00:03:35,920 Speaker 1: to continue to go up and we need the cash now. 78 00:03:36,040 --> 00:03:38,760 Speaker 1: It's going to be difficult to bring on loans capital investments, 79 00:03:38,760 --> 00:03:41,160 Speaker 1: so we might sell our cattle early. It's called culling 80 00:03:41,240 --> 00:03:44,000 Speaker 1: the cattle, right, sell them early so that you can 81 00:03:44,000 --> 00:03:46,240 Speaker 1: get more money now, or you at least kind of 82 00:03:46,800 --> 00:03:49,840 Speaker 1: bet or try and speculate as to what the future 83 00:03:49,840 --> 00:03:51,680 Speaker 1: costs are going to be versus current. So they sold 84 00:03:51,680 --> 00:03:53,680 Speaker 1: a lot of cattle a couple of years ago. It 85 00:03:53,680 --> 00:03:55,760 Speaker 1: takes two to three years. If I bring in a 86 00:03:55,800 --> 00:03:58,320 Speaker 1: new you know, the cow has a baby, it's going 87 00:03:58,400 --> 00:03:59,640 Speaker 1: to take two to three years for it to come 88 00:03:59,680 --> 00:04:01,640 Speaker 1: to mark its size. So it's not like something that 89 00:04:01,640 --> 00:04:04,080 Speaker 1: you can fix overnight. So that's kind of setting the 90 00:04:04,120 --> 00:04:07,600 Speaker 1: table obviously for the purposes of politics, everyone wants to 91 00:04:07,600 --> 00:04:10,560 Speaker 1: point towards the opposite party. You know, Republicans are going 92 00:04:10,560 --> 00:04:12,280 Speaker 1: to point to the Democrats and they're going to say, well, 93 00:04:12,280 --> 00:04:14,400 Speaker 1: it's because the cost of they pump so much money 94 00:04:14,400 --> 00:04:17,080 Speaker 1: into the economy and so much regulation and the cost 95 00:04:17,120 --> 00:04:19,160 Speaker 1: of everything has gone up. And then by way of 96 00:04:19,200 --> 00:04:22,119 Speaker 1: a lot of the climate change conversation, they were trying 97 00:04:22,160 --> 00:04:25,280 Speaker 1: to decrease cattle production because they were pinning a significant 98 00:04:25,320 --> 00:04:29,440 Speaker 1: amount of the issues related to hypothetical climate change on 99 00:04:29,480 --> 00:04:32,760 Speaker 1: the methane coming from the cows aka the farts, or 100 00:04:32,800 --> 00:04:36,479 Speaker 1: the effect that they have on the surrounding ecosystem. And 101 00:04:36,520 --> 00:04:38,480 Speaker 1: then of course the Democrats are going to point and say, look, 102 00:04:38,480 --> 00:04:41,760 Speaker 1: Trump's in office and the tariffs have created this major 103 00:04:41,839 --> 00:04:44,920 Speaker 1: issue there for the cost of everything has gone up, 104 00:04:45,160 --> 00:04:48,880 Speaker 1: primarily beef. Unfortunately, it's not that easy, and we can 105 00:04:48,920 --> 00:04:51,760 Speaker 1: get into that throughout this episode. But where it's brought 106 00:04:51,800 --> 00:04:54,120 Speaker 1: us to today is that one of the solutions that 107 00:04:54,240 --> 00:04:57,039 Speaker 1: was proposed last week was well, if we need to 108 00:04:57,080 --> 00:05:02,000 Speaker 1: increase supply right to bring and demand is there. We 109 00:05:02,080 --> 00:05:04,760 Speaker 1: just need to increase supply to bring prices down. We 110 00:05:04,880 --> 00:05:08,520 Speaker 1: have this partnership with Argentina malay right, very friendly with 111 00:05:08,560 --> 00:05:11,479 Speaker 1: the current administration. Why don't we put money into buying 112 00:05:11,560 --> 00:05:14,640 Speaker 1: Argentinian beef bringing it into the United States and that 113 00:05:14,680 --> 00:05:16,919 Speaker 1: can reduce some of the demand or reduce some of 114 00:05:16,760 --> 00:05:20,279 Speaker 1: the supply pressure and therefore bring prices down. And that 115 00:05:20,360 --> 00:05:22,360 Speaker 1: has created a lot of cause. That has caused a 116 00:05:22,400 --> 00:05:25,200 Speaker 1: lot of stirring controversy because people are saying, and by 117 00:05:25,240 --> 00:05:28,240 Speaker 1: the way, the number specifically is, let's invest fifty billion 118 00:05:28,360 --> 00:05:32,320 Speaker 1: dollars into Argentinian beef to bring in as imports. And 119 00:05:33,080 --> 00:05:35,279 Speaker 1: they've said, well, that money should go to US ranchers 120 00:05:35,279 --> 00:05:35,839 Speaker 1: and farmers. 121 00:05:36,120 --> 00:05:38,920 Speaker 2: Okay, So the only thing I got from that entire spiel, 122 00:05:38,960 --> 00:05:41,440 Speaker 2: which was brilliant, by the way, was that you said farts. 123 00:05:43,400 --> 00:05:44,760 Speaker 1: Actually I said methane. 124 00:05:45,080 --> 00:05:47,160 Speaker 2: You said farts. 125 00:05:46,360 --> 00:05:49,159 Speaker 1: Methane, which is the formal word. At home, we'll say, 126 00:05:49,160 --> 00:05:50,840 Speaker 1: like when the kids will have a little routu tou we, 127 00:05:51,080 --> 00:05:52,920 Speaker 1: I'll say, all right, who released their methane? 128 00:05:52,960 --> 00:05:56,680 Speaker 2: Okay, So question for you, why would he invest the 129 00:05:56,760 --> 00:06:02,920 Speaker 2: fifty billion dollars into Argentina? Right, Like they're ranchers, why 130 00:06:02,960 --> 00:06:04,080 Speaker 2: not invest it here. 131 00:06:04,120 --> 00:06:06,360 Speaker 1: Because we don't have the herd? Right? 132 00:06:06,440 --> 00:06:10,120 Speaker 2: So is it because people are buying so much because beef, 133 00:06:10,240 --> 00:06:12,719 Speaker 2: like we talked about a few episodes ago, have become 134 00:06:12,800 --> 00:06:15,440 Speaker 2: so popular, it's because we literally just don't have enough. 135 00:06:15,680 --> 00:06:17,960 Speaker 1: We just don't have enough. So it's the general supply, 136 00:06:18,080 --> 00:06:21,400 Speaker 1: we don't have enough. And the argument is that by 137 00:06:21,480 --> 00:06:25,599 Speaker 1: bringing in, by buying fifty billion dollars worth of Argentinian beef, 138 00:06:25,960 --> 00:06:29,760 Speaker 1: that then we're going to bring it into our supply chain. Now, 139 00:06:29,880 --> 00:06:31,560 Speaker 1: keep in mind, most of this is going to come 140 00:06:31,560 --> 00:06:33,760 Speaker 1: in as ground beef, right, so you're gonna take lean 141 00:06:33,800 --> 00:06:36,120 Speaker 1: cuts and you're gonna grind it up into US ground beef. 142 00:06:36,160 --> 00:06:38,560 Speaker 1: You're not really going to get primal cuts, tender loins, 143 00:06:38,560 --> 00:06:41,200 Speaker 1: you're not gonna get ribis, et cetera, the whole muscle cuts. 144 00:06:41,360 --> 00:06:44,719 Speaker 1: It's lean Argentinian beef that is going to be ground. 145 00:06:44,960 --> 00:06:46,680 Speaker 2: So then how is that bringing prices down? 146 00:06:46,800 --> 00:06:50,040 Speaker 1: Well, that's that's the argument. So I would postulate as 147 00:06:50,040 --> 00:06:53,320 Speaker 1: an economist that it's not because even fifty billion dollars 148 00:06:53,360 --> 00:06:56,320 Speaker 1: worth of beef, if you extrapolate that across the amount 149 00:06:56,360 --> 00:06:58,680 Speaker 1: of beef that that would supply, it's really only like 150 00:06:58,800 --> 00:07:01,599 Speaker 1: point zero five percent of the total beef that we 151 00:07:01,640 --> 00:07:03,560 Speaker 1: have in our market anyway. So it's a drop in 152 00:07:03,600 --> 00:07:07,280 Speaker 1: the bucket. The beef packers are the ones that are 153 00:07:07,279 --> 00:07:10,600 Speaker 1: pushing for this. Now, this is where the real problem lies. 154 00:07:11,520 --> 00:07:14,240 Speaker 1: We have four major beef packers that ownly eighty five 155 00:07:14,280 --> 00:07:17,040 Speaker 1: percent of the entire supply of beef in the United States. 156 00:07:17,760 --> 00:07:22,400 Speaker 1: So you're dealing with Tyson, JBS, Cargill, and International beef Packers. 157 00:07:22,680 --> 00:07:25,680 Speaker 1: Those are the four major players. We have consolidated and 158 00:07:25,720 --> 00:07:28,320 Speaker 1: centralized our beef markets. So they're the ones that are 159 00:07:28,360 --> 00:07:31,240 Speaker 1: setting the prices. They're the ones that benefit from this. 160 00:07:31,560 --> 00:07:34,080 Speaker 2: I was going to say, So they're excited because they're 161 00:07:34,080 --> 00:07:36,920 Speaker 2: getting all this new product to then package. 162 00:07:36,560 --> 00:07:38,720 Speaker 1: Right at the cost of the US taxpayer. I think 163 00:07:38,760 --> 00:07:40,920 Speaker 1: fifty billion dollars of taxpayer dollars is going to go. 164 00:07:40,960 --> 00:07:44,280 Speaker 1: And Argentina is excited as well, which okay, I get 165 00:07:44,280 --> 00:07:46,120 Speaker 1: that they are friendly nations, so we want to do 166 00:07:46,160 --> 00:07:49,880 Speaker 1: business with them. And he's also decreasing any hypothetical tariffs 167 00:07:49,880 --> 00:07:52,160 Speaker 1: that there would be on Argentinian beef, so he can 168 00:07:52,200 --> 00:07:54,760 Speaker 1: kind of flip that lever and they say that's supposed 169 00:07:54,800 --> 00:07:56,520 Speaker 1: to help with supply, and then there's going to be 170 00:07:56,560 --> 00:08:01,120 Speaker 1: a downward price pressure. Now my perspective, the visits follows. 171 00:08:01,600 --> 00:08:04,800 Speaker 1: I don't think we should be giving any money to Argentina, 172 00:08:04,920 --> 00:08:07,360 Speaker 1: not because I don't like them, but because I think 173 00:08:07,400 --> 00:08:10,360 Speaker 1: fifty billion dollars should go into increasing our herd size 174 00:08:10,480 --> 00:08:14,160 Speaker 1: and making it easier the beef for the ranchers to 175 00:08:14,240 --> 00:08:18,800 Speaker 1: be able to increase their supply of cows of cattle. Now, 176 00:08:18,840 --> 00:08:22,040 Speaker 1: that's not going to help prices immediately. However, I think 177 00:08:22,080 --> 00:08:25,120 Speaker 1: there's other levers and mechanisms that can be utilized through 178 00:08:25,160 --> 00:08:29,080 Speaker 1: the USDA subsidies, etc. Through the government to decrease the 179 00:08:29,120 --> 00:08:32,600 Speaker 1: pressure on prices beef prices in the short term. And 180 00:08:32,600 --> 00:08:34,360 Speaker 1: that's going to cost a little bit of money, but 181 00:08:34,360 --> 00:08:36,800 Speaker 1: I'd rather that money be spent on us than that 182 00:08:36,840 --> 00:08:39,040 Speaker 1: money be spent on Argentini and beef. But then the 183 00:08:39,080 --> 00:08:41,840 Speaker 1: bigger issue here is that we need to take away 184 00:08:41,880 --> 00:08:44,280 Speaker 1: the powers that the four big beef packers have and 185 00:08:44,280 --> 00:08:47,160 Speaker 1: we need to give that power back to the independent ranchers, 186 00:08:47,320 --> 00:08:52,600 Speaker 1: the more family run ranchers, farmers, increasing processing capacity, increasing 187 00:08:52,720 --> 00:08:56,920 Speaker 1: the ability to raise beef regeneratively through the United States, 188 00:08:57,800 --> 00:08:59,160 Speaker 1: That'll have a long term effect. 189 00:08:59,280 --> 00:09:00,800 Speaker 2: Yeah, I agree with you on that. 190 00:09:01,120 --> 00:09:02,840 Speaker 1: Yeah. So I mean what this really comes down to 191 00:09:02,960 --> 00:09:05,920 Speaker 1: and what's interesting is is that even if we do that, 192 00:09:06,040 --> 00:09:10,439 Speaker 1: it's not incumbent upon the packers really to set the price. 193 00:09:10,480 --> 00:09:13,640 Speaker 1: It's the retail price. So in theory, if you decrease 194 00:09:13,720 --> 00:09:17,680 Speaker 1: the price that the packers, if you decrease the price 195 00:09:17,720 --> 00:09:19,920 Speaker 1: the packers sell to the retailers, right, and that's called 196 00:09:19,960 --> 00:09:23,079 Speaker 1: the wholesale beef price. That doesn't mean that the retailers 197 00:09:23,120 --> 00:09:26,080 Speaker 1: are going to decrease the prices for the consumers. We've 198 00:09:26,080 --> 00:09:29,080 Speaker 1: seen that so often is that we've seen that the 199 00:09:29,960 --> 00:09:33,760 Speaker 1: when prices are decreased on a wholesale side, the processors 200 00:09:33,800 --> 00:09:36,480 Speaker 1: of the retailers still keep the price high because they're 201 00:09:36,559 --> 00:09:40,040 Speaker 1: used to that high price. So that's the beef issue, 202 00:09:40,040 --> 00:09:41,719 Speaker 1: and that's what everyone's been talking about. So when you 203 00:09:41,760 --> 00:09:45,160 Speaker 1: see people saying US ranchers should be able to benefit 204 00:09:45,240 --> 00:09:50,280 Speaker 1: from any policy right, any policy decision, be it economic 205 00:09:50,640 --> 00:09:54,960 Speaker 1: or even regulatory, I agree with that wholeheartedly. Because that's 206 00:09:55,000 --> 00:09:59,760 Speaker 1: the quote America First philosophy that there was a campaign on. 207 00:10:00,040 --> 00:10:03,600 Speaker 2: I was going to say that was his whole spiel. 208 00:10:03,840 --> 00:10:06,360 Speaker 1: Yeah. So one of the things I think that's important 209 00:10:06,400 --> 00:10:08,400 Speaker 1: about this, and we go back to, is ground beef. Right, 210 00:10:08,520 --> 00:10:13,120 Speaker 1: Like ultimately you're getting actually more benefit from your ground 211 00:10:13,160 --> 00:10:15,280 Speaker 1: beef when you're eating it than you are from your 212 00:10:15,320 --> 00:10:18,280 Speaker 1: whole muscles anyway, because the ground beef beef actually has 213 00:10:18,320 --> 00:10:21,559 Speaker 1: a lot more connective tissue, has more of the animal 214 00:10:21,640 --> 00:10:23,600 Speaker 1: ground into it, which is where you're going to get 215 00:10:23,640 --> 00:10:26,319 Speaker 1: more of the vitamins to creating, et cetera. So what 216 00:10:26,360 --> 00:10:29,439 Speaker 1: this comes down to is, even with beef prices high, look, 217 00:10:29,520 --> 00:10:32,000 Speaker 1: continue to eat your ground beef right like, ground beef 218 00:10:32,040 --> 00:10:33,520 Speaker 1: is the way to go, and we'll continue to offer 219 00:10:33,559 --> 00:10:35,920 Speaker 1: a ton of recipes related to ground beef. So that's 220 00:10:36,040 --> 00:10:37,920 Speaker 1: just a little bit of an overview on what we've 221 00:10:37,920 --> 00:10:40,560 Speaker 1: been talking about, or rather a deep dive on some 222 00:10:40,640 --> 00:10:44,560 Speaker 1: of the Maine food headlines this week, beef specifically, but 223 00:10:44,640 --> 00:10:46,440 Speaker 1: there's also a lot of things happening in a restaurant 224 00:10:46,440 --> 00:10:48,480 Speaker 1: in a fast casual world. You know what, I know 225 00:10:48,520 --> 00:10:50,800 Speaker 1: what I saw recently as well, is. 226 00:10:50,760 --> 00:10:54,520 Speaker 2: It Jack in the Box sells Del Taco to yadav 227 00:10:54,760 --> 00:10:58,520 Speaker 2: for one hundred and fifteen million dollars hundred when they 228 00:10:58,800 --> 00:11:00,959 Speaker 2: just what was it? Less than four years ago? They 229 00:11:01,000 --> 00:11:03,880 Speaker 2: spent five hundred and seventy five million to acquire the chain. 230 00:11:04,920 --> 00:11:07,600 Speaker 2: Now they're selling it to a franchise e. Is that right? 231 00:11:07,760 --> 00:11:10,920 Speaker 1: Yeah? Exactly, so they are Del Taco is selling I 232 00:11:10,920 --> 00:11:14,040 Speaker 1: mean that's huge. Jack in the Box owns Del Taco 233 00:11:14,120 --> 00:11:16,319 Speaker 1: and they're selling it for five hundred and seventy five 234 00:11:16,360 --> 00:11:18,640 Speaker 1: million dollars, as you mentioned, to a franchise e. But 235 00:11:18,679 --> 00:11:21,719 Speaker 1: what's crazy about this is that it actually and I 236 00:11:21,760 --> 00:11:24,080 Speaker 1: got to look at these numbers. They they bought Del 237 00:11:24,200 --> 00:11:26,560 Speaker 1: Taco like four or five years ago for I want 238 00:11:26,559 --> 00:11:28,440 Speaker 1: to say, like five x that amount. 239 00:11:28,640 --> 00:11:33,120 Speaker 2: I was yeah, so clearly it wasn't like turning a profit. 240 00:11:33,240 --> 00:11:34,839 Speaker 2: Right if they're selling it for so. 241 00:11:35,080 --> 00:11:37,439 Speaker 1: Cheap, well, that's the thing, right. So that's why I 242 00:11:37,480 --> 00:11:39,719 Speaker 1: think this is a really interesting story, is that how 243 00:11:39,720 --> 00:11:41,840 Speaker 1: are they able five hundred and seventy five million dollars 244 00:11:41,920 --> 00:11:43,600 Speaker 1: seems like a ton of money for Del Taco. 245 00:11:43,800 --> 00:11:45,800 Speaker 2: That's a lot of Well, first of all, we always 246 00:11:45,800 --> 00:11:47,640 Speaker 2: talk about where do people get this money from? 247 00:11:47,840 --> 00:11:50,920 Speaker 1: Well, it's private equity. From this one, I mean, there's 248 00:11:51,080 --> 00:11:52,719 Speaker 1: there's there's a lot of money. Let me let me 249 00:11:52,760 --> 00:11:55,000 Speaker 1: look up. Let me see how much they you talk 250 00:11:55,040 --> 00:11:56,400 Speaker 1: about how much you love Del Taco. 251 00:11:56,400 --> 00:11:58,000 Speaker 2: I want to find out how much they said before 252 00:11:58,320 --> 00:12:01,560 Speaker 2: anytime we fly anywhere and we fly back home. Our 253 00:12:01,640 --> 00:12:04,400 Speaker 2: first stop is Del Taco. I don't know what it 254 00:12:04,440 --> 00:12:08,280 Speaker 2: is about Del Taco. We love it being burritos. We 255 00:12:08,320 --> 00:12:12,240 Speaker 2: get some of the carbone tacos, right, Andrew, I. 256 00:12:12,200 --> 00:12:13,160 Speaker 1: Like the Del Carbone. 257 00:12:13,240 --> 00:12:16,160 Speaker 2: You're just a Del Taco family, and I know some 258 00:12:16,200 --> 00:12:19,360 Speaker 2: people don't like Del Taco. It would rather eat Taco Bell, 259 00:12:19,679 --> 00:12:22,240 Speaker 2: but we cannot do Taco Bell in this family for 260 00:12:22,280 --> 00:12:24,440 Speaker 2: some reason, gut issues. 261 00:12:26,200 --> 00:12:29,520 Speaker 1: So I am sorry. This is actually not the case. 262 00:12:29,920 --> 00:12:32,720 Speaker 1: Jack in the Box is selling the entire Del Taco chain. 263 00:12:33,000 --> 00:12:35,199 Speaker 1: I got my numbers wrong. For one hundred and fifteen 264 00:12:35,240 --> 00:12:38,400 Speaker 1: million dollars selling me. They originally bought it for five 265 00:12:38,440 --> 00:12:39,520 Speaker 1: hundred and seventy five million. 266 00:12:40,320 --> 00:12:43,040 Speaker 2: Oh they okay, Well, yeah, that's right. 267 00:12:43,160 --> 00:12:45,640 Speaker 1: I said five hundred and seventy five million. All of 268 00:12:45,720 --> 00:12:48,200 Speaker 1: Del Taco for one hundred and fifteen million. I'm sorry. 269 00:12:48,240 --> 00:12:49,440 Speaker 1: That is not a lot of money. 270 00:12:49,559 --> 00:12:51,440 Speaker 2: That's not a lot of money. No, I mean, like 271 00:12:51,520 --> 00:12:53,319 Speaker 2: Del Tacos are nationwide. 272 00:12:53,320 --> 00:12:55,360 Speaker 1: Correct, No, there's no Del Taco on the East Coast. 273 00:12:55,440 --> 00:12:56,480 Speaker 2: Oh there's not. It's just West coast. 274 00:12:56,559 --> 00:12:58,720 Speaker 1: No, it's West coast. But there's a significant number of 275 00:12:58,720 --> 00:13:02,320 Speaker 1: locations Delta Taco to me if I'm going to eat 276 00:13:02,320 --> 00:13:05,040 Speaker 1: fast food like I would eat at Deltaco, they still 277 00:13:05,200 --> 00:13:07,520 Speaker 1: shred their own cheese fresh in house, which that's a 278 00:13:07,520 --> 00:13:10,280 Speaker 1: big deal for me. It's not the best food ever, However, 279 00:13:10,320 --> 00:13:12,800 Speaker 1: what I want to say that is interesting about this 280 00:13:13,000 --> 00:13:14,920 Speaker 1: is you see a brand that's being sold for a 281 00:13:14,960 --> 00:13:17,960 Speaker 1: major discount, a major discount. And one thing we have 282 00:13:18,120 --> 00:13:21,520 Speaker 1: noticed at Del Taco recently is that their labor is. 283 00:13:21,520 --> 00:13:24,680 Speaker 2: Down so many mass like one guy working like the 284 00:13:24,760 --> 00:13:28,760 Speaker 2: drive through and cooking and the inside, taking inside orders 285 00:13:28,760 --> 00:13:30,000 Speaker 2: and more like holy moly. 286 00:13:30,160 --> 00:13:33,320 Speaker 1: Yeah, so Del Taco is primarily a California chain. And 287 00:13:33,360 --> 00:13:35,520 Speaker 1: what's so funny is that when I read the headlines 288 00:13:35,520 --> 00:13:37,840 Speaker 1: about this, no one's talking about They're like, Oh, it's 289 00:13:37,920 --> 00:13:40,040 Speaker 1: just you know, a shake up within their portfolio. No, 290 00:13:40,400 --> 00:13:43,080 Speaker 1: I'm telling you right now, it's because of AB twelve 291 00:13:43,080 --> 00:13:45,640 Speaker 1: twenty eight. It's because they increased the fast foods minimum 292 00:13:45,720 --> 00:13:47,559 Speaker 1: wage and it killed their business. 293 00:13:47,840 --> 00:13:49,719 Speaker 2: It has to kill at this point, I didn't even 294 00:13:49,800 --> 00:13:52,400 Speaker 2: think about that, but yes, the last few times we've gone, 295 00:13:52,400 --> 00:13:55,200 Speaker 2: there's been one person working the entire store. 296 00:13:55,360 --> 00:13:57,640 Speaker 1: It's nuts, it's and it takes so long to get 297 00:13:57,679 --> 00:13:59,880 Speaker 1: the food as well, granted we're the only family that 298 00:14:00,040 --> 00:14:02,360 Speaker 1: can actually order seventy five dollars worth of Bell Taco. 299 00:14:03,200 --> 00:14:04,720 Speaker 2: Well there are six of us. 300 00:14:05,160 --> 00:14:08,480 Speaker 1: Back to the methane issue, so that's interesting. I want 301 00:14:08,480 --> 00:14:10,480 Speaker 1: to know what everybody's favorite is when it comes to 302 00:14:10,920 --> 00:14:13,160 Speaker 1: these fast food chains, Like if you had to eat 303 00:14:13,200 --> 00:14:16,080 Speaker 1: at one fast food chain, what would it be? Hit 304 00:14:16,160 --> 00:14:18,080 Speaker 1: us up, Hit us up on ex at Chef Gruel 305 00:14:18,520 --> 00:14:21,360 Speaker 1: or at Loren Gruel and give us give us your best. 306 00:14:21,440 --> 00:14:23,440 Speaker 1: So another food story this week that I think that 307 00:14:23,480 --> 00:14:25,880 Speaker 1: we're going to continue to hear a lot about is 308 00:14:26,200 --> 00:14:29,600 Speaker 1: the government food ays freeze so Snap benefits. 309 00:14:29,960 --> 00:14:34,240 Speaker 2: Yeah, so I heard it's really the Democrats, right, Like 310 00:14:34,360 --> 00:14:35,040 Speaker 2: is it their fault? 311 00:14:35,320 --> 00:14:37,800 Speaker 1: Well, once again, I mean, you know, all of this 312 00:14:37,880 --> 00:14:39,600 Speaker 1: has so much nuance to it, and it's always like 313 00:14:39,640 --> 00:14:41,320 Speaker 1: the pointing of the finger. I love that meme where 314 00:14:41,320 --> 00:14:43,400 Speaker 1: it's like Spider Man pointing at Spider Man and they're like, 315 00:14:43,480 --> 00:14:45,800 Speaker 1: you're you're a nark, right, Because that's ultimately what it 316 00:14:45,800 --> 00:14:47,960 Speaker 1: comes down to. So I think that just generally speaking, 317 00:14:48,000 --> 00:14:50,400 Speaker 1: politicians are going to be responsible in this case. Yeah, 318 00:14:50,440 --> 00:14:53,040 Speaker 1: you could say that it's the Democrats because they're the 319 00:14:53,040 --> 00:14:54,600 Speaker 1: ones that are holding it up. In the Senate, you 320 00:14:54,640 --> 00:14:57,480 Speaker 1: need a sixty vote majority in order to pass a budget, 321 00:14:57,800 --> 00:15:00,400 Speaker 1: and it's what we have, like fifty three. So you've 322 00:15:00,440 --> 00:15:04,440 Speaker 1: got a seven vote deficit, and you know Schumer's holding 323 00:15:04,480 --> 00:15:06,920 Speaker 1: it up by saying, the only way we'll vote for 324 00:15:07,080 --> 00:15:08,640 Speaker 1: is if you make these concessions. 325 00:15:08,760 --> 00:15:11,280 Speaker 2: This is what I read today. So Senate Democrats have 326 00:15:11,360 --> 00:15:14,120 Speaker 2: now voted twelve times to not fund the food stamp 327 00:15:14,120 --> 00:15:18,120 Speaker 2: program also known as the Supplemental Nutrition Assistance Program SNAP. 328 00:15:19,280 --> 00:15:21,280 Speaker 1: And it's funny because that was actually posted on the 329 00:15:21,400 --> 00:15:22,560 Speaker 1: USDA website. 330 00:15:22,840 --> 00:15:24,920 Speaker 2: Yeah, I know that's where which that's. 331 00:15:24,800 --> 00:15:27,760 Speaker 1: A bold move. That's a pretty bold move. Well, the 332 00:15:27,840 --> 00:15:31,400 Speaker 1: reality is is that and I've talked about this, what 333 00:15:31,440 --> 00:15:33,880 Speaker 1: people are now taught. What I find so fascinating about 334 00:15:33,920 --> 00:15:36,640 Speaker 1: this is we talk, we realize things when they become issues. 335 00:15:36,800 --> 00:15:39,080 Speaker 1: So everyone's out there and they're like, wait a minute, 336 00:15:39,360 --> 00:15:41,840 Speaker 1: we spend all of this money, and when you dig 337 00:15:41,880 --> 00:15:44,120 Speaker 1: into the numbers, it's like one on every five people 338 00:15:44,200 --> 00:15:48,560 Speaker 1: is on food stamps, right, And people are having trouble 339 00:15:48,600 --> 00:15:50,880 Speaker 1: stomaching that number because they're like, and it might even 340 00:15:50,880 --> 00:15:55,680 Speaker 1: be even smaller. The issue here is that we have 341 00:15:55,800 --> 00:15:58,600 Speaker 1: ignored this for years and years and years. So we're 342 00:15:58,640 --> 00:16:01,680 Speaker 1: in the final hour and we're talking about this and saying, well, 343 00:16:01,720 --> 00:16:04,240 Speaker 1: just eliminate it, right, Like you've got one side saying eliminated, 344 00:16:04,280 --> 00:16:06,280 Speaker 1: and you've got another side saying you want to kill kids. 345 00:16:06,560 --> 00:16:08,280 Speaker 1: Like that's what it comes down to. It's always this 346 00:16:08,360 --> 00:16:09,720 Speaker 1: like hyperbolic reaction. 347 00:16:10,320 --> 00:16:12,840 Speaker 2: Yeah, I mean it is sad though I didn't realize 348 00:16:12,880 --> 00:16:16,480 Speaker 2: the numbers were that significant, like one in five and 349 00:16:16,520 --> 00:16:17,760 Speaker 2: you said maybe even lower. 350 00:16:17,960 --> 00:16:21,000 Speaker 1: Yep. Well, and I'll go back to this because we are, 351 00:16:21,240 --> 00:16:24,280 Speaker 1: you know, as part of our kind of brand DNA, 352 00:16:24,560 --> 00:16:26,320 Speaker 1: and by us, I mean Lauren and I. It's about 353 00:16:26,320 --> 00:16:28,480 Speaker 1: feeding people and making sure that people don't go hungry. 354 00:16:28,480 --> 00:16:30,960 Speaker 1: And we're constantly giving away meals at the restaurant and 355 00:16:30,960 --> 00:16:32,920 Speaker 1: that's really why we wanted to build the restaurants, as 356 00:16:32,960 --> 00:16:34,960 Speaker 1: we kind of wanted this like community kitchens that we 357 00:16:35,000 --> 00:16:37,520 Speaker 1: can help out as needed. It's not just us. There's 358 00:16:37,560 --> 00:16:40,960 Speaker 1: food banks, there's churches, there's community organizations, there's individuals who 359 00:16:41,000 --> 00:16:45,320 Speaker 1: run these organizations. I always say that we don't need 360 00:16:45,360 --> 00:16:49,000 Speaker 1: the government necessarily to help each other out like that 361 00:16:49,080 --> 00:16:52,880 Speaker 1: starts in the community. And I've already seen the week 362 00:16:52,960 --> 00:16:55,000 Speaker 1: leading into this where we knew that, we know that 363 00:16:55,000 --> 00:16:56,960 Speaker 1: the food stamps are going to be cut on November first, 364 00:16:57,240 --> 00:17:00,160 Speaker 1: so many organizations that are pulling together to say, well, 365 00:17:00,160 --> 00:17:02,320 Speaker 1: don't worry, we're going to fill this gap. Here's how 366 00:17:02,320 --> 00:17:05,040 Speaker 1: we're going to do it. That's a testament to the 367 00:17:05,040 --> 00:17:07,320 Speaker 1: good of community, and I think that there should should 368 00:17:07,400 --> 00:17:09,360 Speaker 1: be more of that. So, for example, when I say 369 00:17:09,359 --> 00:17:11,960 Speaker 1: that maybe we overspend on this program, it's not because 370 00:17:12,000 --> 00:17:13,760 Speaker 1: I don't want people to be helped out. It's because 371 00:17:13,800 --> 00:17:15,879 Speaker 1: I think that we need to give people the fishing 372 00:17:15,880 --> 00:17:17,280 Speaker 1: pole and teach them how to fish. And I think 373 00:17:17,320 --> 00:17:19,199 Speaker 1: that a lot of the people within the community can 374 00:17:19,200 --> 00:17:21,960 Speaker 1: pull this together themselves and put the money in themselves 375 00:17:21,960 --> 00:17:25,160 Speaker 1: as well, us included. So it's not like I'm putting 376 00:17:25,200 --> 00:17:27,240 Speaker 1: it on the backs of other people. In the state 377 00:17:27,320 --> 00:17:30,719 Speaker 1: of California, it's a huge amount. It's even higher than 378 00:17:30,760 --> 00:17:31,960 Speaker 1: it is in many other states. 379 00:17:32,160 --> 00:17:34,840 Speaker 2: I guess for me, it's like these individuals, you know, 380 00:17:34,880 --> 00:17:36,640 Speaker 2: I know a lot of people have fallen. I mean, 381 00:17:36,880 --> 00:17:38,639 Speaker 2: I'll admit it. When I was like young, I was 382 00:17:38,640 --> 00:17:41,280 Speaker 2: struggling and I had to go on some like food assistants, 383 00:17:41,320 --> 00:17:42,520 Speaker 2: like I'm not going to lie. When I was like 384 00:17:42,560 --> 00:17:45,439 Speaker 2: in my late you know, teen years, early twenties. But 385 00:17:46,040 --> 00:17:48,320 Speaker 2: I eventually got out of that. I broke because I 386 00:17:48,840 --> 00:17:51,359 Speaker 2: wasn't embarrassed, but like, I didn't want to stay in 387 00:17:51,400 --> 00:17:51,800 Speaker 2: it forever. 388 00:17:51,960 --> 00:17:54,240 Speaker 1: So yeah, well needs to be temporary. The problem is 389 00:17:54,240 --> 00:17:57,880 Speaker 1: is that when it comes with every federal program, right, 390 00:17:57,920 --> 00:18:00,320 Speaker 1: there's really not that much oversight. It's like, okay, let's 391 00:18:00,359 --> 00:18:02,000 Speaker 1: get the money from the Feds, and then we bring 392 00:18:02,000 --> 00:18:04,760 Speaker 1: it into the you know, kind of your local congressional rep. 393 00:18:04,800 --> 00:18:06,720 Speaker 1: Gets the money, brings it into the local community, and 394 00:18:06,720 --> 00:18:09,080 Speaker 1: then it's disseminated through a state program or ultimately a 395 00:18:09,080 --> 00:18:11,560 Speaker 1: local program. And then when you distill all of that 396 00:18:11,680 --> 00:18:14,800 Speaker 1: money through so many big government filters or bureaucracies, number one, 397 00:18:14,840 --> 00:18:16,840 Speaker 1: you lose a lot along the way under the guys 398 00:18:16,880 --> 00:18:19,040 Speaker 1: who administrative costs. And then number two, there's not that 399 00:18:19,160 --> 00:18:22,120 Speaker 1: much oversight and control on it. Now each state has 400 00:18:22,160 --> 00:18:24,440 Speaker 1: different controls put in place. Like I heard in Texas, 401 00:18:24,600 --> 00:18:27,600 Speaker 1: you cannot manipulate the program. It's virtually impossible. As we 402 00:18:27,640 --> 00:18:30,959 Speaker 1: know in California, we're spread thin and in regards to 403 00:18:31,200 --> 00:18:33,480 Speaker 1: any a will or a desire to regulate the program. 404 00:18:33,560 --> 00:18:35,680 Speaker 1: So what I've read is that what people have been doing. 405 00:18:35,800 --> 00:18:39,080 Speaker 1: Is is that let's say you've got five kids, it's 406 00:18:39,440 --> 00:18:41,840 Speaker 1: incumbent upon the parent to spend the money on the food. 407 00:18:42,119 --> 00:18:44,679 Speaker 1: And a lot of the parents are not spending the 408 00:18:44,720 --> 00:18:45,399 Speaker 1: money on food. 409 00:18:45,520 --> 00:18:47,760 Speaker 2: Well now aren't they? Just aren't they just getting a 410 00:18:47,760 --> 00:18:48,359 Speaker 2: debit card? 411 00:18:48,720 --> 00:18:48,920 Speaker 1: Yeah? 412 00:18:49,240 --> 00:18:52,399 Speaker 2: Yeah, because when I had it, like it was it 413 00:18:52,440 --> 00:18:55,320 Speaker 2: was like almost vouchers, yeah right, and it was for 414 00:18:55,400 --> 00:18:57,879 Speaker 2: whatever the grocery was, like say a cart and a 415 00:18:57,960 --> 00:19:00,720 Speaker 2: milk or whatever. Right, So it wasn't like it was 416 00:19:00,760 --> 00:19:02,600 Speaker 2: just like a free willy nilly. I could buy whatever 417 00:19:02,640 --> 00:19:03,520 Speaker 2: I wanted at the store. 418 00:19:03,600 --> 00:19:05,560 Speaker 1: Now you get a debit card, and there's still limitations 419 00:19:05,560 --> 00:19:07,800 Speaker 1: on it, although they're pretty wide in variety. 420 00:19:07,760 --> 00:19:09,199 Speaker 2: Because I see a lot of even if you go, 421 00:19:09,359 --> 00:19:12,440 Speaker 2: you know, to like a liquor store or whatever, there's 422 00:19:12,480 --> 00:19:16,119 Speaker 2: like ebt cards accepted here. Like there's a lot of 423 00:19:16,160 --> 00:19:18,520 Speaker 2: signage on that, whereas before it was like you could 424 00:19:18,520 --> 00:19:21,640 Speaker 2: only go to the grocery store and get certain items. 425 00:19:21,800 --> 00:19:24,400 Speaker 1: Yes, but that's where the scammers always come in. There's 426 00:19:24,440 --> 00:19:25,879 Speaker 1: always a scam. I mean, I was at the grocery 427 00:19:25,920 --> 00:19:28,520 Speaker 1: store the other day and some guy asked me if said, oh, 428 00:19:28,560 --> 00:19:31,640 Speaker 1: I've got you know, four hundred dollars with the groceries 429 00:19:31,680 --> 00:19:33,800 Speaker 1: on it from a voucher or an EBT card, Like, 430 00:19:33,800 --> 00:19:35,560 Speaker 1: I'll buy whatever you want, just give me the cash 431 00:19:35,560 --> 00:19:37,719 Speaker 1: for it. So like they're discounting it so that they 432 00:19:37,720 --> 00:19:39,119 Speaker 1: can get cash, and then they use the cash to 433 00:19:39,160 --> 00:19:41,440 Speaker 1: go buy drugs or do something tofarious with it. There's 434 00:19:41,440 --> 00:19:42,760 Speaker 1: so many different ways in what you get. 435 00:19:43,000 --> 00:19:46,960 Speaker 2: Yeah, in an I feel like people definitely will take advantage. 436 00:19:47,000 --> 00:19:49,600 Speaker 2: I mean, obviously some people really do need this assistance, 437 00:19:49,600 --> 00:19:51,320 Speaker 2: so it is sad that it's going away. 438 00:19:51,800 --> 00:19:53,480 Speaker 1: Yeah, but look at it this way, right, So you 439 00:19:53,520 --> 00:19:55,080 Speaker 1: want you need food, you can buy a bag of 440 00:19:55,160 --> 00:19:58,080 Speaker 1: rice for you know, bag of rice for a month 441 00:19:58,119 --> 00:20:00,960 Speaker 1: for fifty dollars and dry bean for thirty dollars. So 442 00:20:01,000 --> 00:20:03,280 Speaker 1: for eighty dollars you can feed yourself for an entire month. 443 00:20:03,320 --> 00:20:04,280 Speaker 1: You just got to sacrifice. 444 00:20:04,400 --> 00:20:06,600 Speaker 2: Yeah, I mean I think I ate potato salad for 445 00:20:06,640 --> 00:20:07,120 Speaker 2: like a year. 446 00:20:08,119 --> 00:20:11,159 Speaker 1: That's disgusting. We'll talk about that another tone. So, and 447 00:20:11,600 --> 00:20:13,480 Speaker 1: I'm not trying to be flipping about it. I'm just saying, 448 00:20:13,560 --> 00:20:15,520 Speaker 1: is that we have this problem. It's come to ahead. 449 00:20:15,520 --> 00:20:18,400 Speaker 1: So now let's utilize this opportunity because it's a national 450 00:20:18,480 --> 00:20:21,000 Speaker 1: conversation to fix the program, make it more efficient. I 451 00:20:21,000 --> 00:20:23,359 Speaker 1: don't think anybody is against the program in general, or 452 00:20:23,400 --> 00:20:25,719 Speaker 1: people being fed. I think they're against the fact that 453 00:20:25,760 --> 00:20:28,359 Speaker 1: two dollars for every one dollar that goes to somebody, 454 00:20:28,359 --> 00:20:31,120 Speaker 1: two dollars is spent. It's the most inefficient program. It's 455 00:20:31,200 --> 00:20:32,080 Speaker 1: all government programs. 456 00:20:32,080 --> 00:20:34,200 Speaker 2: And too, it's like all this money is going to 457 00:20:34,240 --> 00:20:36,159 Speaker 2: people who don't necessarily need it. They're all just like 458 00:20:36,200 --> 00:20:36,960 Speaker 2: milking the system. 459 00:20:37,000 --> 00:20:38,480 Speaker 1: Yeah, there are a lot of people who don't need it. 460 00:20:38,520 --> 00:20:40,520 Speaker 1: You are correct. I mean I've heard stories. One of 461 00:20:40,520 --> 00:20:42,840 Speaker 1: the biggest stories here in California is that what people 462 00:20:42,880 --> 00:20:45,720 Speaker 1: do is they take the EBT program and then they'll 463 00:20:45,760 --> 00:20:47,679 Speaker 1: like go buy flowers at Trader Joe's, and then they 464 00:20:47,680 --> 00:20:49,359 Speaker 1: go stand in a freeway and they sell the flowers 465 00:20:49,480 --> 00:20:50,120 Speaker 1: for I. 466 00:20:50,119 --> 00:20:54,280 Speaker 2: Heard that too, and or like the they'll sell like 467 00:20:54,320 --> 00:20:56,679 Speaker 2: the fruit yeah on the side, you know, like the 468 00:20:56,880 --> 00:21:00,840 Speaker 2: cutup fruit. But they're using that how to using EBT 469 00:21:01,000 --> 00:21:02,639 Speaker 2: card to buy that fruit, and then they're selling it 470 00:21:02,640 --> 00:21:03,760 Speaker 2: for double the price. 471 00:21:03,560 --> 00:21:06,719 Speaker 1: Which in a way is a small business loan. But 472 00:21:06,720 --> 00:21:08,480 Speaker 1: then they don't pay taxes on that because it's cash 473 00:21:08,480 --> 00:21:10,159 Speaker 1: home rade, so it doesn't go back and help the 474 00:21:10,200 --> 00:21:12,600 Speaker 1: system so maybe we digress a little bit, but I 475 00:21:12,600 --> 00:21:15,280 Speaker 1: think we can open up on that in a subsequent episode. 476 00:21:15,280 --> 00:21:19,720 Speaker 1: But let's at least make this a little bit more fun. Well, actually, 477 00:21:19,760 --> 00:21:21,720 Speaker 1: here I go. I'm it's not gonna be too fun. 478 00:21:21,760 --> 00:21:25,440 Speaker 1: But we're getting into the Thanksgiving season and rumor has 479 00:21:25,440 --> 00:21:27,160 Speaker 1: it the turkey prices are going to be going up. 480 00:21:27,200 --> 00:21:30,040 Speaker 1: And the result of that is because still I know, 481 00:21:30,119 --> 00:21:32,320 Speaker 1: we talked about the AVI and flew with eggs, but 482 00:21:32,359 --> 00:21:34,440 Speaker 1: they were, you know, they were raising the turkeys around 483 00:21:34,440 --> 00:21:36,520 Speaker 1: that same time. So we have a lower supply of 484 00:21:36,720 --> 00:21:39,040 Speaker 1: turkeys this year. So they say prices are going to 485 00:21:39,119 --> 00:21:39,320 Speaker 1: go up. 486 00:21:39,400 --> 00:21:42,080 Speaker 2: Yeah, so prices are going to be about one dollar 487 00:21:42,200 --> 00:21:45,720 Speaker 2: and thirty two cents per pound, a forty percent increase 488 00:21:45,760 --> 00:21:48,680 Speaker 2: from twenty twenty four's average of zero point nine to 489 00:21:48,720 --> 00:21:50,200 Speaker 2: four cents a pound. 490 00:21:50,520 --> 00:21:53,080 Speaker 1: Yes. Now, what I find interesting about that is that's 491 00:21:53,119 --> 00:21:56,440 Speaker 1: going to become a huge political talking point going into Thanksgiving. 492 00:21:57,040 --> 00:21:57,760 Speaker 2: Wasn't this a thing? 493 00:21:58,040 --> 00:22:03,160 Speaker 1: Yeah? With the nine five minutes, it's like, I forget, 494 00:22:03,240 --> 00:22:05,280 Speaker 1: but we always use the gauge, the index, like the 495 00:22:05,600 --> 00:22:09,480 Speaker 1: turkey or the Thanksgiving holiday price index. But what I 496 00:22:09,520 --> 00:22:12,600 Speaker 1: think is interesting is so I dug deeper on this story, 497 00:22:12,640 --> 00:22:14,840 Speaker 1: and I'm like, Okay, so turkey prices are going up 498 00:22:15,040 --> 00:22:18,520 Speaker 1: in regards to wholesale. However, how are the retail operations 499 00:22:18,600 --> 00:22:20,520 Speaker 1: going to respond to this? A lot of the major 500 00:22:20,560 --> 00:22:22,680 Speaker 1: retailers are now saying, well, we're going to use turkey 501 00:22:22,680 --> 00:22:24,600 Speaker 1: as a loss leader, which means we're going to sell 502 00:22:24,600 --> 00:22:26,400 Speaker 1: it at a loss in order to bring people into 503 00:22:26,440 --> 00:22:28,440 Speaker 1: the store and then make money on all the other 504 00:22:28,480 --> 00:22:31,280 Speaker 1: things that we're selling. So you have big brands like 505 00:22:32,160 --> 00:22:35,320 Speaker 1: ald and I think Walmart and some of these major 506 00:22:35,359 --> 00:22:39,439 Speaker 1: brands and retailers are doing these like twenty or thirty 507 00:22:39,480 --> 00:22:42,000 Speaker 1: dollars turkey deals where you get an entire turkey dinner 508 00:22:42,000 --> 00:22:44,560 Speaker 1: for four for like thirty dollars. So I think the 509 00:22:44,600 --> 00:22:47,640 Speaker 1: perception when you're looking at the marketing is not necessarily 510 00:22:47,720 --> 00:22:49,280 Speaker 1: going to be that the prices are higher, But the 511 00:22:49,320 --> 00:22:52,040 Speaker 1: reality on the retail side is that they might be 512 00:22:52,040 --> 00:22:53,880 Speaker 1: a little bit higher, although you're going to see those 513 00:22:53,920 --> 00:22:58,000 Speaker 1: costs kind of amortized across a wide variety of products. 514 00:22:59,000 --> 00:23:02,480 Speaker 2: Turkeys in have been impacted by the bird flu this year, 515 00:23:02,560 --> 00:23:06,760 Speaker 2: including over half a million this month alone. 516 00:23:06,680 --> 00:23:09,400 Speaker 1: Half a million, half half a million dead birds, half 517 00:23:09,400 --> 00:23:12,440 Speaker 1: a million turkeys you know why. But that's also the 518 00:23:12,480 --> 00:23:16,160 Speaker 1: government forcing people to kill their birds. Remember we talked 519 00:23:16,160 --> 00:23:18,640 Speaker 1: about that in the past with the eggs. They force 520 00:23:18,720 --> 00:23:20,680 Speaker 1: you to call the birds because they don't want there 521 00:23:20,720 --> 00:23:23,600 Speaker 1: to be a spread, and they actually pay to decrease supply, 522 00:23:23,640 --> 00:23:27,080 Speaker 1: which artificially increases prices when a lot of the birds 523 00:23:27,080 --> 00:23:29,560 Speaker 1: that they were killing were healthy birds. That's where you 524 00:23:29,560 --> 00:23:30,760 Speaker 1: get the conspiracy theorists that. 525 00:23:30,760 --> 00:23:33,080 Speaker 2: Are like, that's sad they want us all to eat 526 00:23:33,400 --> 00:23:34,320 Speaker 2: artificial meat. 527 00:23:35,400 --> 00:23:37,320 Speaker 1: I don't necessarily know if they wanted you to eat 528 00:23:37,400 --> 00:23:39,119 Speaker 1: artificial meat. A lot of this is, you know, the 529 00:23:39,160 --> 00:23:41,440 Speaker 1: economy is going to be a driver of politics, and 530 00:23:41,600 --> 00:23:45,120 Speaker 1: people within the world of politics are always competing within 531 00:23:45,200 --> 00:23:47,720 Speaker 1: that world for headlines and clicks and surveys and you 532 00:23:47,840 --> 00:23:52,280 Speaker 1: name it. So so many times people do manipulate policy 533 00:23:52,400 --> 00:23:54,440 Speaker 1: in order to help on the political side. 534 00:23:54,600 --> 00:23:56,800 Speaker 2: All right, well, we've just deppressed our audience at the 535 00:23:56,880 --> 00:23:57,679 Speaker 2: last few stories. 536 00:24:00,119 --> 00:24:02,560 Speaker 1: The fork, Yeah, what the fork? 537 00:24:02,680 --> 00:24:03,080 Speaker 2: The fork? 538 00:24:03,119 --> 00:24:05,160 Speaker 1: What are some of the craziest food stories from this week? 539 00:24:05,240 --> 00:24:08,880 Speaker 2: All right, So Taco Bell is turning its Baja Blast 540 00:24:09,080 --> 00:24:14,439 Speaker 2: into a pie and it is finally going nationwide this November. 541 00:24:15,000 --> 00:24:16,679 Speaker 1: That does absolutely nothing for me. 542 00:24:16,840 --> 00:24:17,800 Speaker 2: It does nothing for me either. 543 00:24:17,800 --> 00:24:19,760 Speaker 1: I want to blast pie. 544 00:24:20,000 --> 00:24:22,440 Speaker 2: I mean, the kids made me go to Taco Bell. 545 00:24:22,480 --> 00:24:23,840 Speaker 2: Like we just talked, we don't do a Taco Bell 546 00:24:23,840 --> 00:24:26,040 Speaker 2: in our family. We go Del Taco. But the kids 547 00:24:26,520 --> 00:24:28,280 Speaker 2: had me go to Taco Bell the other day because 548 00:24:28,280 --> 00:24:30,720 Speaker 2: they needed the Baja Blast. And it's just just like 549 00:24:31,119 --> 00:24:31,840 Speaker 2: blue drink. 550 00:24:31,920 --> 00:24:34,359 Speaker 1: Wait, are you joking me? I love how you're just 551 00:24:34,400 --> 00:24:36,120 Speaker 1: telling me this right now because you knew I would 552 00:24:36,160 --> 00:24:36,760 Speaker 1: lose my mind. 553 00:24:36,880 --> 00:24:38,480 Speaker 2: Okay, listen, So you bought. 554 00:24:38,320 --> 00:24:40,359 Speaker 1: The kids a baja because they wanted to try it. 555 00:24:40,440 --> 00:24:41,000 Speaker 2: I felt bad. 556 00:24:41,160 --> 00:24:41,719 Speaker 1: That's horrible. 557 00:24:41,800 --> 00:24:44,720 Speaker 2: Okay, So anyway, I hope they didn't like it. They 558 00:24:45,200 --> 00:24:46,760 Speaker 2: I don't think they did that much. They haven't asked 559 00:24:46,800 --> 00:24:47,000 Speaker 2: for it. 560 00:24:47,040 --> 00:24:49,040 Speaker 1: Since I'm gonna need to sit down to talk with 561 00:24:49,080 --> 00:24:50,680 Speaker 1: the boys, I'm going to crack some icine pen and 562 00:24:50,720 --> 00:24:52,639 Speaker 1: say this is your brain on Baja Blast. 563 00:24:52,840 --> 00:24:56,760 Speaker 2: So listen. This dessert pairs a gram crust with Baja 564 00:24:56,840 --> 00:25:01,280 Speaker 2: Blast flavored custard and whipped cream, and whole pies will 565 00:25:01,359 --> 00:25:04,159 Speaker 2: run for nineteen ninety nine and can serve up to 566 00:25:04,200 --> 00:25:04,760 Speaker 2: eight people. 567 00:25:04,880 --> 00:25:07,119 Speaker 1: I'm all for indulgence and every now and then like 568 00:25:07,160 --> 00:25:09,720 Speaker 1: breaking the rules and just indulging. But like, that's just 569 00:25:09,920 --> 00:25:12,399 Speaker 1: why would you want to waste your kind of indulgence 570 00:25:12,440 --> 00:25:15,600 Speaker 1: ticket or your free pass on something like a Baja Blast. 571 00:25:15,760 --> 00:25:18,960 Speaker 2: It looks really gross too. It's available on November six. 572 00:25:20,720 --> 00:25:23,280 Speaker 2: It looks like artificial. Look it up. Look it up 573 00:25:23,280 --> 00:25:24,359 Speaker 2: and tell me what you think it's like. 574 00:25:24,440 --> 00:25:26,400 Speaker 1: Find me one thing within Taco Bell that's not. 575 00:25:26,359 --> 00:25:29,000 Speaker 2: Already yon blue color Pie. 576 00:25:29,680 --> 00:25:31,800 Speaker 1: Well, you know what I think for Halloween, I might 577 00:25:31,800 --> 00:25:32,719 Speaker 1: be a Baja Blast. 578 00:25:32,760 --> 00:25:35,159 Speaker 2: Oh that'd be cute. I'll put some whiff cream on you. 579 00:25:35,720 --> 00:25:37,520 Speaker 1: Okay, this just turned in. What why are you doing this? 580 00:25:37,560 --> 00:25:39,720 Speaker 1: It's midday, This is not between the sheets, this is 581 00:25:39,760 --> 00:25:40,600 Speaker 1: not after ours. 582 00:25:41,240 --> 00:25:42,879 Speaker 2: Oh my gosh. Okay, that's weird. 583 00:25:43,200 --> 00:25:45,520 Speaker 1: Speaking of Halloween, we got to get our Halloween costumes. 584 00:25:45,720 --> 00:25:48,280 Speaker 2: We have nothing. We do this every year, and every 585 00:25:48,320 --> 00:25:50,560 Speaker 2: year I try to be more organized and get the 586 00:25:50,600 --> 00:25:52,879 Speaker 2: kids costumes ahead of time, and it never happens. And 587 00:25:52,920 --> 00:25:56,800 Speaker 2: here I am ordering like prime overnight delivery Halloween costumes. 588 00:25:56,920 --> 00:25:58,600 Speaker 1: Yeah. But the thing is is that the kids changed 589 00:25:58,600 --> 00:26:00,960 Speaker 1: their mind all the time. Like Jack the other day 590 00:26:01,000 --> 00:26:02,880 Speaker 1: told me that he wanted to be a fart for Halloween. 591 00:26:03,720 --> 00:26:05,720 Speaker 2: James actually told me he wanted to be a dirt bike. 592 00:26:05,760 --> 00:26:07,879 Speaker 2: And I'm thinking he wants to dress up as like 593 00:26:07,880 --> 00:26:10,359 Speaker 2: a dirt bike rider, like a professional. But no, he 594 00:26:10,400 --> 00:26:13,440 Speaker 2: actually wants to be the dirt bike like he wants wheels. 595 00:26:13,680 --> 00:26:15,919 Speaker 1: Oh, he wants to be he wants to be the dirt. 596 00:26:15,800 --> 00:26:17,840 Speaker 2: Which is great. But where the heck am I going 597 00:26:17,880 --> 00:26:18,680 Speaker 2: to find that costume? 598 00:26:18,760 --> 00:26:20,120 Speaker 1: Wait? You mean to tell me you don't have four 599 00:26:20,160 --> 00:26:22,720 Speaker 1: hours to sew that together? I don't know we need 600 00:26:22,720 --> 00:26:23,640 Speaker 1: a sewing machine. 601 00:26:24,080 --> 00:26:24,840 Speaker 2: I used to sew. 602 00:26:25,160 --> 00:26:29,640 Speaker 1: Yeah, did you know that? So what? Yes? Okay, we're 603 00:26:29,680 --> 00:26:30,160 Speaker 1: going there. 604 00:26:30,320 --> 00:26:32,240 Speaker 2: Sharpen your skills, gruel. 605 00:26:32,440 --> 00:26:33,520 Speaker 1: All right, what do you want to give me for 606 00:26:33,600 --> 00:26:34,679 Speaker 1: a cooking tip this week? 607 00:26:35,560 --> 00:26:37,520 Speaker 2: Why do you put me on the spot. 608 00:26:37,280 --> 00:26:38,639 Speaker 1: Because I like to put you on the spot. 609 00:26:38,960 --> 00:26:41,240 Speaker 2: No, I need your I need your quick. 610 00:26:41,720 --> 00:26:43,359 Speaker 1: I'm gonna jump I'm going to jump around here. I 611 00:26:43,359 --> 00:26:45,560 Speaker 1: want to eighty six at first, because I've been thinking 612 00:26:45,600 --> 00:26:47,399 Speaker 1: about this one and what I want to see, like 613 00:26:47,480 --> 00:26:49,479 Speaker 1: food trends that need to end, or any trends in 614 00:26:49,520 --> 00:26:53,200 Speaker 1: general in regards to the restaurant industry, and that's AI 615 00:26:53,400 --> 00:26:54,240 Speaker 1: answering bots. 616 00:26:54,960 --> 00:26:57,120 Speaker 2: You hate answer well because it's so annoying because they 617 00:26:57,200 --> 00:26:59,840 Speaker 2: sound real. But then you like you're talking to them 618 00:26:59,880 --> 00:27:01,960 Speaker 2: and they just say something like totally different than what 619 00:27:02,000 --> 00:27:05,280 Speaker 2: you're talking to them about, like just put on a person. 620 00:27:05,760 --> 00:27:08,240 Speaker 1: Well, and what's even hilarious about that is I tried 621 00:27:08,280 --> 00:27:10,679 Speaker 1: to do it for our restaurant, and it's impossible for 622 00:27:10,760 --> 00:27:13,600 Speaker 1: it to even get done because, like you pre programmed 623 00:27:13,640 --> 00:27:16,320 Speaker 1: these AI answering bots. I wasn't necessarily going to deploy it, 624 00:27:16,359 --> 00:27:17,800 Speaker 1: but I wanted to see how much it cost and 625 00:27:17,840 --> 00:27:20,400 Speaker 1: I wanted to understand it. Yeah, but they never called 626 00:27:20,400 --> 00:27:22,720 Speaker 1: me back. It was because it was an AI AI 627 00:27:22,840 --> 00:27:25,000 Speaker 1: person never call But you call these restaurants now and 628 00:27:25,760 --> 00:27:28,679 Speaker 1: for a second you don't realize that it's a bot. No. 629 00:27:28,880 --> 00:27:32,080 Speaker 2: Sometimes, so we at the restaurant, we were getting these 630 00:27:32,119 --> 00:27:35,879 Speaker 2: calls from Google and you'd answer and it would some 631 00:27:36,080 --> 00:27:37,639 Speaker 2: I don't know how they set this up, but they 632 00:27:37,640 --> 00:27:40,760 Speaker 2: would call the restaurant and it would be somebody requesting 633 00:27:40,800 --> 00:27:44,960 Speaker 2: a reservation on behalf of whoever put in their information. 634 00:27:45,480 --> 00:27:47,119 Speaker 2: So like the person could have just called us and 635 00:27:47,119 --> 00:27:49,560 Speaker 2: made the reservation. Instead they used Google to do it 636 00:27:49,600 --> 00:27:51,440 Speaker 2: and call us and using an AI bot. 637 00:27:51,880 --> 00:27:53,800 Speaker 1: Yeah, that one is really weird. What's your eighty six 638 00:27:53,840 --> 00:27:54,399 Speaker 1: at this week? 639 00:27:54,600 --> 00:27:58,280 Speaker 2: My eighty six at speaking of restaurants, is restaurant awkwardness? 640 00:27:59,240 --> 00:28:01,280 Speaker 2: You know when you all into a restaurant and there's 641 00:28:01,320 --> 00:28:03,439 Speaker 2: like nobody in the front, You're not really sure what 642 00:28:03,480 --> 00:28:05,520 Speaker 2: to do. You're kind of standing there like awkwardly. 643 00:28:06,000 --> 00:28:07,879 Speaker 1: Then you see the stone as somebody else walks in 644 00:28:07,920 --> 00:28:10,040 Speaker 1: and you're like elbowing them because you want to make 645 00:28:10,040 --> 00:28:11,439 Speaker 1: sure that they don't get I hope. 646 00:28:11,320 --> 00:28:13,520 Speaker 2: They know that I'm first in line, like I just 647 00:28:13,760 --> 00:28:16,119 Speaker 2: like I just don't like that. It makes me And 648 00:28:16,440 --> 00:28:19,000 Speaker 2: not just restaurants, I would say also like retail stores. 649 00:28:19,040 --> 00:28:21,600 Speaker 2: Like the other day, it was our daughter's birthday, so 650 00:28:21,640 --> 00:28:24,680 Speaker 2: I went shopping with her. We went into a store, 651 00:28:24,760 --> 00:28:27,400 Speaker 2: and my pet peeve is when nobody greets you when 652 00:28:27,400 --> 00:28:30,480 Speaker 2: you walk in, like you're just do they want to 653 00:28:30,480 --> 00:28:32,560 Speaker 2: help me? Do they want my business? It is like 654 00:28:32,680 --> 00:28:34,919 Speaker 2: and they're continuing on with whatever they're doing, and like, 655 00:28:35,000 --> 00:28:35,639 Speaker 2: don't help you. 656 00:28:35,800 --> 00:28:37,760 Speaker 1: They don't want to help you because you're a nuisance, 657 00:28:37,840 --> 00:28:39,440 Speaker 1: right Like they want to they want to clock They 658 00:28:39,440 --> 00:28:39,680 Speaker 1: want to. 659 00:28:39,720 --> 00:28:42,080 Speaker 2: Chit chat with their friends at work and not help 660 00:28:42,120 --> 00:28:43,160 Speaker 2: you and actually do their job. 661 00:28:43,280 --> 00:28:44,840 Speaker 1: And they want to they want to clock in. They 662 00:28:44,840 --> 00:28:46,680 Speaker 1: want to get the money and when a customer walks in, 663 00:28:46,760 --> 00:28:48,840 Speaker 1: that's like you're a nuisance. That's it. So no, I 664 00:28:48,880 --> 00:28:52,120 Speaker 1: actually look for owner operator stores. You walk into an 665 00:28:52,160 --> 00:28:53,840 Speaker 1: owner operator store and they're all about it. 666 00:28:54,280 --> 00:28:56,200 Speaker 2: No, you know the difference too, You can spot the 667 00:28:56,200 --> 00:28:59,200 Speaker 2: difference between Yeah, so. 668 00:28:59,160 --> 00:29:01,600 Speaker 1: I get that, and I would say parlaying from the 669 00:29:01,600 --> 00:29:05,560 Speaker 1: restaurant awkwardness too. It's like airplane awkwardness. So it's the 670 00:29:05,560 --> 00:29:09,280 Speaker 1: same idea. I assume everybody else operates under this modus 671 00:29:09,280 --> 00:29:12,720 Speaker 1: apparat like this this playbook of being polite to each other. 672 00:29:13,160 --> 00:29:15,840 Speaker 1: So for example, when you're waiting in line or when 673 00:29:15,840 --> 00:29:18,360 Speaker 1: you're about ready to be called for your you know whatever, 674 00:29:18,400 --> 00:29:21,120 Speaker 1: your lineup area, that no one's going to cut you. 675 00:29:21,160 --> 00:29:23,200 Speaker 1: But what happens is they do. There's always that one 676 00:29:23,240 --> 00:29:24,920 Speaker 1: person that's going to come in and cut you, and 677 00:29:24,960 --> 00:29:27,480 Speaker 1: they're gonna and they're gonna disrupt the entire system. 678 00:29:27,680 --> 00:29:29,480 Speaker 2: Oh I hate that. You're supposed to go in order 679 00:29:29,760 --> 00:29:32,760 Speaker 2: by row and some people now just like from the back, 680 00:29:32,920 --> 00:29:34,920 Speaker 2: just come and line up. So there's this huge line 681 00:29:35,320 --> 00:29:38,760 Speaker 2: you can't even get out when it's time to like dplane. 682 00:29:38,480 --> 00:29:41,840 Speaker 1: And you you will say something. See I'm like, no, 683 00:29:42,400 --> 00:29:44,640 Speaker 1: I'm passive aggressive, Like Lauren will walk right up to 684 00:29:44,640 --> 00:29:46,520 Speaker 1: somebody and tap my on shoulder and like, excuse me, 685 00:29:46,560 --> 00:29:48,200 Speaker 1: that was incredibly rude and you need to be back. 686 00:29:48,240 --> 00:29:51,160 Speaker 2: There're not like that aggressive, But that's not true. I 687 00:29:51,200 --> 00:29:54,720 Speaker 2: will say something I don't. I've come to learn in 688 00:29:54,720 --> 00:29:56,520 Speaker 2: my old age you have to speak up for yourself 689 00:29:56,520 --> 00:29:58,000 Speaker 2: because nobody else is going to do it for you. 690 00:29:58,120 --> 00:30:00,400 Speaker 1: I do this little cost benefit analysis in my I'm. 691 00:30:00,280 --> 00:30:03,200 Speaker 2: Like, is it you, Andrew? Andrew, what did we talk about? 692 00:30:03,240 --> 00:30:04,880 Speaker 2: We're not talking about it on air. 693 00:30:06,480 --> 00:30:09,240 Speaker 1: They say that people who have like skin problems are 694 00:30:09,360 --> 00:30:12,200 Speaker 1: people pleasers. I read a study about that, So I've 695 00:30:12,240 --> 00:30:15,560 Speaker 1: like had just like I don't have like crazy psoriasis 696 00:30:15,680 --> 00:30:18,440 Speaker 1: or anything, but like i've my scalp was itching a 697 00:30:18,480 --> 00:30:20,240 Speaker 1: little bit here and there the other day, and I like, 698 00:30:20,680 --> 00:30:21,520 Speaker 1: because your people. 699 00:30:21,280 --> 00:30:23,520 Speaker 2: Pleasing, Like, look what you're doing right now. You're trying 700 00:30:23,520 --> 00:30:27,400 Speaker 2: to make everyone happy, which is a good, but also I. 701 00:30:27,360 --> 00:30:29,840 Speaker 1: Do want to make everybody in my family happy, especially 702 00:30:29,840 --> 00:30:30,280 Speaker 1: my wife. 703 00:30:30,320 --> 00:30:31,480 Speaker 2: Have you met her? 704 00:30:31,560 --> 00:30:33,600 Speaker 1: Have you met her? She's unbelievable. We should get her 705 00:30:33,600 --> 00:30:33,960 Speaker 1: in here. 706 00:30:34,200 --> 00:30:35,840 Speaker 2: Oh you're too sweet? 707 00:30:36,560 --> 00:30:38,680 Speaker 1: All right? Well back to sorry, Well this just got 708 00:30:38,680 --> 00:30:40,760 Speaker 1: we'd back to the quick quick sizzle, quick tip, a 709 00:30:40,800 --> 00:30:42,880 Speaker 1: little sharpen your skill. So one of the things I 710 00:30:42,920 --> 00:30:45,160 Speaker 1: talk about all the time is acid, right, and I'm 711 00:30:45,160 --> 00:30:48,520 Speaker 1: not talking about LSD. I'm talking about like vinegars and 712 00:30:48,600 --> 00:30:53,120 Speaker 1: tomato juices, acids and food high bright the sour flavor, 713 00:30:53,160 --> 00:30:56,280 Speaker 1: if you will. Acid makes food taste so much better 714 00:30:56,880 --> 00:30:58,920 Speaker 1: if you add it at the end of your cooking, 715 00:30:59,160 --> 00:31:03,240 Speaker 1: food that otherwise would taste bland is going to be brightened, 716 00:31:03,360 --> 00:31:06,040 Speaker 1: it's going to be amplified. It's the way to change 717 00:31:06,080 --> 00:31:08,560 Speaker 1: your food at the end. It's not just salt and 718 00:31:08,560 --> 00:31:10,800 Speaker 1: pepper at the end of cooking. It's a dash of acid. 719 00:31:10,880 --> 00:31:12,520 Speaker 1: So that could be a squeeze of lemon juice, that 720 00:31:12,520 --> 00:31:14,400 Speaker 1: could be a dash of a high quality vinegar. That 721 00:31:14,440 --> 00:31:17,800 Speaker 1: could be even fresh tomato in there, or some pickled 722 00:31:17,800 --> 00:31:21,160 Speaker 1: onion something on there with a little bit of acidity 723 00:31:21,520 --> 00:31:25,440 Speaker 1: to balance the flavors that and it's not supposed to 724 00:31:25,440 --> 00:31:27,720 Speaker 1: taste sour, So don't overdo it with the acid. Just 725 00:31:27,760 --> 00:31:30,040 Speaker 1: a dash of acid, you shouldn't even be able to 726 00:31:30,080 --> 00:31:32,640 Speaker 1: taste it. You'll taste your food at the end and 727 00:31:32,680 --> 00:31:37,760 Speaker 1: you'll go, oh, oh, market, that's delicious. 728 00:31:38,560 --> 00:31:41,440 Speaker 2: Okay, what do you say though? You say, if you 729 00:31:42,120 --> 00:31:45,320 Speaker 2: think of the salty, sour, sweet, bitter and mommy, and 730 00:31:45,320 --> 00:31:47,680 Speaker 2: if anything's missing at it right, and most of the 731 00:31:47,720 --> 00:31:48,600 Speaker 2: time it is an acid. 732 00:31:48,680 --> 00:31:51,840 Speaker 1: It's an acid because that takes and those aren't even right. 733 00:31:51,880 --> 00:31:53,960 Speaker 1: So salty, sour, sweet, bitter, new mommy. That's not like 734 00:31:54,000 --> 00:31:55,680 Speaker 1: a one to one to one to one to one. 735 00:31:56,080 --> 00:31:59,120 Speaker 1: That is, some of them play a stronger role in 736 00:31:59,160 --> 00:32:03,640 Speaker 1: the symphony food on your palate. So acid is one 737 00:32:03,680 --> 00:32:06,560 Speaker 1: of those. Obviously salt is another one, but it's not 738 00:32:06,600 --> 00:32:08,680 Speaker 1: always just salt like people think, oh this tastes bland, 739 00:32:08,720 --> 00:32:10,240 Speaker 1: I'm gonna throw a bunch of salt in there. Now, 740 00:32:10,280 --> 00:32:13,440 Speaker 1: that's how you get salty food. It's think acids. Maybe 741 00:32:13,440 --> 00:32:15,720 Speaker 1: you need some fresh herbs, which also fulfills the bitter 742 00:32:16,200 --> 00:32:19,200 Speaker 1: flavor profile, but try that right. So, what I would 743 00:32:19,200 --> 00:32:20,920 Speaker 1: suggest you guys do is take a bland piece of 744 00:32:21,000 --> 00:32:24,040 Speaker 1: chicken at home, if you're cooking it, cook one piece 745 00:32:24,080 --> 00:32:26,320 Speaker 1: with no seasoning, then hit it with salt, Taste it 746 00:32:26,360 --> 00:32:28,720 Speaker 1: with no seasoning, then taste it with a little salt. 747 00:32:28,920 --> 00:32:30,880 Speaker 1: Then taste it with a little bit of salt and acid. 748 00:32:31,160 --> 00:32:33,040 Speaker 1: Then taste it with salt, acid and maybe even a 749 00:32:33,120 --> 00:32:35,400 Speaker 1: dash of like soy sauce or worcester Shire sauce, which 750 00:32:35,440 --> 00:32:38,040 Speaker 1: is that umami, and or even tomatoes, some sort of 751 00:32:38,040 --> 00:32:40,479 Speaker 1: tomato sauce on there, because that's umami as well. And 752 00:32:40,600 --> 00:32:42,480 Speaker 1: each time you taste it, you'll be able to taste 753 00:32:42,480 --> 00:32:44,800 Speaker 1: how you're building those layers of flavor. And it's an 754 00:32:44,880 --> 00:32:47,720 Speaker 1: exercise that really teaches your palate how to understand the 755 00:32:47,800 --> 00:32:51,240 Speaker 1: flavor differences. Because once you teach your palate that, then 756 00:32:51,240 --> 00:32:53,400 Speaker 1: you'll be able to taste the differences better and know 757 00:32:53,480 --> 00:32:57,640 Speaker 1: strategically how you should season your food, especially at the end. 758 00:32:58,880 --> 00:33:01,600 Speaker 2: I love it. All right, Well that was fun. 759 00:33:02,480 --> 00:33:04,640 Speaker 1: Yeah, we uh, we've got we got a lot in 760 00:33:04,680 --> 00:33:08,600 Speaker 1: store for us over the next week. Halloween parties, birthday parties, 761 00:33:08,640 --> 00:33:10,040 Speaker 1: you name it. So I think we're going to bring 762 00:33:10,040 --> 00:33:13,200 Speaker 1: it back into some crazy stories over the next couple episodes. 763 00:33:13,240 --> 00:33:14,680 Speaker 1: But I hope that we gave you a really nice 764 00:33:14,680 --> 00:33:18,120 Speaker 1: primer on the beef industry, on the you know, the 765 00:33:18,200 --> 00:33:21,040 Speaker 1: history of Del Taco and the financial purchase thereof. We'll 766 00:33:21,080 --> 00:33:23,960 Speaker 1: follow that story closely. Love to hear your feedback on 767 00:33:24,000 --> 00:33:26,960 Speaker 1: what's going on with this government aid and snap benefit piece, 768 00:33:27,200 --> 00:33:29,680 Speaker 1: but make sure that you follow us. I am on 769 00:33:30,040 --> 00:33:30,480 Speaker 1: x at. 770 00:33:30,440 --> 00:33:32,880 Speaker 2: Chef Gruel and I'm Lauren Gruhl, and make sure to 771 00:33:32,880 --> 00:33:35,239 Speaker 2: give us your eighty six items as well as your 772 00:33:35,240 --> 00:33:35,560 Speaker 2: what the. 773 00:33:35,520 --> 00:33:38,040 Speaker 1: Fork stories and you can catch me on Instagram at 774 00:33:38,080 --> 00:33:39,080 Speaker 1: Andrew Gruhl. 775 00:33:39,000 --> 00:33:41,600 Speaker 2: And I'm at Lauren Underscore gl and. 776 00:33:41,560 --> 00:33:43,800 Speaker 1: Make sure that you subscribe, leave us a review, send 777 00:33:43,920 --> 00:33:46,240 Speaker 1: us a letter, send us some fan mail hext, send 778 00:33:46,240 --> 00:33:48,760 Speaker 1: a mariachi band over to our house. Whatever you want 779 00:33:48,800 --> 00:33:51,520 Speaker 1: to do, we appreciate it all right, bye guys,