1
00:00:02,360 --> 00:00:05,840
Speaker 1: Welcome back, everybody. We're here with another episode of American Gravy.

2
00:00:05,880 --> 00:00:06,680
Speaker 1: What a week.

3
00:00:07,000 --> 00:00:10,000
Speaker 2: I am hungry, I am starving. I'm always hungry.

4
00:00:10,039 --> 00:00:12,560
Speaker 1: Actually that is true. I'm also always hungry. I get

5
00:00:12,560 --> 00:00:14,319
Speaker 1: a lot more hungry later in the day. I don't

6
00:00:14,360 --> 00:00:16,280
Speaker 1: know why you'm not a eating guy.

7
00:00:16,400 --> 00:00:18,360
Speaker 2: He doesn't eat during the day.

8
00:00:18,320 --> 00:00:19,840
Speaker 1: And then before I go to bed at night, I'll

9
00:00:19,880 --> 00:00:21,160
Speaker 1: eat like six thousand calories.

10
00:00:21,160 --> 00:00:22,960
Speaker 2: All right, Well, anyway, I'm Lauren Girl and.

11
00:00:22,960 --> 00:00:25,279
Speaker 1: I'm Andrew Grew and welcome back to another episode of

12
00:00:25,280 --> 00:00:28,280
Speaker 1: American Gravy, where food meets fun, flavor meets the absurd.

13
00:00:28,720 --> 00:00:30,040
Speaker 1: I guess i'd be the absurd here.

14
00:00:30,640 --> 00:00:33,920
Speaker 2: Yes, we are going to dive into some of the funniest, strangest,

15
00:00:33,960 --> 00:00:37,040
Speaker 2: and most mouthwatering food stories making the rounds.

16
00:00:37,200 --> 00:00:40,120
Speaker 1: Because, let's face it, food news these days have gone

17
00:00:40,240 --> 00:00:43,080
Speaker 1: officially off the rails. We're here to bring it back

18
00:00:43,200 --> 00:00:46,519
Speaker 1: on the rails. I love that. Yeah, it's good. You know,

19
00:00:46,560 --> 00:00:48,640
Speaker 1: we're trying some new material out here. But thank you

20
00:00:48,680 --> 00:00:51,680
Speaker 1: all who have kind of stuck around yeah and are

21
00:00:51,720 --> 00:00:54,680
Speaker 1: continuing to listen to these episodes. This is fun and

22
00:00:54,720 --> 00:00:56,800
Speaker 1: we love all of your feedback. You can always give

23
00:00:56,840 --> 00:00:58,440
Speaker 1: us feedback at Chef Gruel.

24
00:00:58,240 --> 00:01:01,120
Speaker 2: On x at Lauren Girl on x or at Louren

25
00:01:01,240 --> 00:01:06,920
Speaker 2: underscore rule on Instagram. All right, so, Andrew, yes, we

26
00:01:07,000 --> 00:01:09,120
Speaker 2: have kids. We have four kids.

27
00:01:09,319 --> 00:01:13,360
Speaker 1: We're unaware. Okay, sometimes I just think they're my friends.

28
00:01:13,720 --> 00:01:15,840
Speaker 2: Yeah, yeah, Okay, we'll get into that later.

29
00:01:15,880 --> 00:01:16,199
Speaker 1: Okay.

30
00:01:16,240 --> 00:01:21,520
Speaker 2: So, is avoiding ultra processed foods with our kids unrealistic,

31
00:01:21,760 --> 00:01:22,880
Speaker 2: like totally avoiding them?

32
00:01:23,040 --> 00:01:27,440
Speaker 1: Well, and that's the yes, it is unrealistic. It is

33
00:01:27,640 --> 00:01:31,039
Speaker 1: unrealistic to assume that overnight somebody's just going to wipe

34
00:01:31,040 --> 00:01:33,760
Speaker 1: out ultra processed foods from a kid's diet. But I

35
00:01:33,800 --> 00:01:36,720
Speaker 1: think we need to define ultra processed foods. Okay.

36
00:01:36,760 --> 00:01:40,240
Speaker 2: Well, there was an article in the Atlantic by Olga Kazan.

37
00:01:40,760 --> 00:01:43,880
Speaker 2: Oh she's doing all right, you know, she has a

38
00:01:44,000 --> 00:01:45,479
Speaker 2: good bors.

39
00:01:45,880 --> 00:01:49,280
Speaker 1: Yeah. The heck is that it's a period chill beetroot soup.

40
00:01:49,720 --> 00:01:52,120
Speaker 2: Ooh, can't wait to try it. Okay, So she makes

41
00:01:52,120 --> 00:01:55,480
Speaker 2: a pretty good point. So this I'm going to read

42
00:01:55,520 --> 00:01:56,720
Speaker 2: a quote from her article.

43
00:01:56,800 --> 00:01:57,120
Speaker 1: Okay.

44
00:01:57,400 --> 00:02:01,200
Speaker 2: So, nevertheless, like many working parents, I find that feeding

45
00:02:01,240 --> 00:02:04,680
Speaker 2: my family a diet free of ultra processed foods is impossible.

46
00:02:04,760 --> 00:02:07,120
Speaker 2: After a long day of fighting with my eighteen month

47
00:02:07,120 --> 00:02:10,160
Speaker 2: old over whether he can touch the trash, No, and

48
00:02:10,200 --> 00:02:13,040
Speaker 2: whether he can eat the trash also No. Sometimes all

49
00:02:13,040 --> 00:02:15,480
Speaker 2: I can do is throw some ultra process mac and

50
00:02:15,560 --> 00:02:17,560
Speaker 2: cheese at him and drown my own sorrows and some

51
00:02:17,680 --> 00:02:22,040
Speaker 2: trader DRO's white Kesso dip. The efforts to get parents

52
00:02:22,040 --> 00:02:24,240
Speaker 2: to give up these types of comforts in favor of

53
00:02:24,360 --> 00:02:27,639
Speaker 2: home roasted vegetables are frustrating and unrealistic.

54
00:02:27,880 --> 00:02:30,119
Speaker 1: Well, and this is the thing though, is by the way,

55
00:02:30,440 --> 00:02:33,520
Speaker 1: and I appreciate that sentiment, And the entire theme of

56
00:02:33,560 --> 00:02:37,720
Speaker 1: this article was a bit pro processed foods, and she

57
00:02:37,880 --> 00:02:40,080
Speaker 1: was taking some jabs at like RFK Junior and the

58
00:02:40,080 --> 00:02:42,320
Speaker 1: Maha movement and the Maha movement, right So like, I

59
00:02:42,360 --> 00:02:44,920
Speaker 1: don't like the overall theme of this article. However, she

60
00:02:45,040 --> 00:02:46,520
Speaker 1: does make a good point that I think that we

61
00:02:46,560 --> 00:02:51,440
Speaker 1: shouldn't ignore. And in this Maha movement, we've talked about

62
00:02:51,760 --> 00:02:54,240
Speaker 1: alternatives and different ways you can cook and you can

63
00:02:54,240 --> 00:02:56,720
Speaker 1: eat and spend more time around the kitchen table and

64
00:02:56,880 --> 00:02:59,040
Speaker 1: understanding where your food is coming from. Right Like, it's

65
00:02:59,040 --> 00:03:01,880
Speaker 1: a very broad movement when it comes to the ultra

66
00:03:02,000 --> 00:03:05,359
Speaker 1: processed food piece. Because people want advice in a sound bite.

67
00:03:05,440 --> 00:03:08,920
Speaker 1: So it's like, don'tat processed food. Well, people need to understand.

68
00:03:08,919 --> 00:03:12,160
Speaker 1: So processed food is any I mean, if you cut potatoes,

69
00:03:12,160 --> 00:03:15,480
Speaker 1: that's processed foods, right, So I think the ultra is important.

70
00:03:15,560 --> 00:03:18,880
Speaker 1: Ultra Processed food is food that's been processed or used

71
00:03:18,880 --> 00:03:21,640
Speaker 1: cut as the analogy in your mind, or cooked or

72
00:03:21,800 --> 00:03:24,840
Speaker 1: you know, poached or blanched and then treated with a

73
00:03:24,960 --> 00:03:28,560
Speaker 1: significant amount of See I would say chemicals, but then

74
00:03:28,600 --> 00:03:30,840
Speaker 1: everyone would be like, well if theod is a chemical, right,

75
00:03:30,919 --> 00:03:33,720
Speaker 1: Like everyone's always trying to play like wordsmith, you to

76
00:03:34,240 --> 00:03:37,520
Speaker 1: attack your point treated with something that I can't find

77
00:03:37,560 --> 00:03:40,560
Speaker 1: in nature, like hanging on a tree or coming off

78
00:03:40,600 --> 00:03:43,160
Speaker 1: of a cow, or coming up from the soil, right, Like,

79
00:03:43,200 --> 00:03:46,720
Speaker 1: you're not gonna find xantham gum like on the side

80
00:03:46,720 --> 00:03:48,280
Speaker 1: of the road. I'm not going to go forage for

81
00:03:48,400 --> 00:03:51,440
Speaker 1: xantham gum or soy lesse thin or artificial food dies

82
00:03:51,760 --> 00:03:54,040
Speaker 1: or any of the other numerous chemicals that we read

83
00:03:54,080 --> 00:03:57,119
Speaker 1: on the ingredients lists. And the reason there's so many

84
00:03:57,200 --> 00:03:59,520
Speaker 1: chemicals in our food, more and more and more as

85
00:03:59,520 --> 00:04:01,560
Speaker 1: time goes on, is because they want to have longer

86
00:04:01,560 --> 00:04:04,640
Speaker 1: shelf life. They want to manipulate and change the flavors

87
00:04:04,640 --> 00:04:06,840
Speaker 1: of the food to make it more addictive. That's a fact.

88
00:04:07,080 --> 00:04:10,240
Speaker 1: That's what the food manufacturing companies do. And then what

89
00:04:10,280 --> 00:04:13,440
Speaker 1: they've also done is they've used chemicals in the form

90
00:04:13,480 --> 00:04:17,080
Speaker 1: of pesticides and different types of fertilizers and as well

91
00:04:17,080 --> 00:04:21,040
Speaker 1: as through the food manufacturing and processing techniques to actually

92
00:04:21,040 --> 00:04:24,200
Speaker 1: remove a lot of the nutrients from the food. But

93
00:04:24,240 --> 00:04:26,960
Speaker 1: then they enrich them. And enriching is like when you

94
00:04:27,000 --> 00:04:28,040
Speaker 1: see enriched flour.

95
00:04:28,360 --> 00:04:30,640
Speaker 2: Well, that's what they did with which I thought was

96
00:04:31,080 --> 00:04:34,960
Speaker 2: kind of interesting. Remember they put in all to corn tortillas.

97
00:04:35,000 --> 00:04:37,320
Speaker 2: I believe they put threw in what was it? Was

98
00:04:37,320 --> 00:04:40,720
Speaker 2: it thigh I mean or no, it was like folic acid.

99
00:04:40,720 --> 00:04:42,960
Speaker 2: Folic acid that they were That was the most racist

100
00:04:42,960 --> 00:04:43,720
Speaker 2: bill by the way.

101
00:04:44,640 --> 00:04:46,800
Speaker 1: They said that. They said that tortillas have to have

102
00:04:46,839 --> 00:04:50,680
Speaker 1: folic acid because specifically Latino women are lacking in folic

103
00:04:50,760 --> 00:04:51,520
Speaker 1: acid through the.

104
00:04:52,000 --> 00:04:55,040
Speaker 2: It's for the when they're pregnant, right, it's supposed to.

105
00:04:55,200 --> 00:04:56,880
Speaker 2: But I'm like, okay, that's a little racist.

106
00:04:56,880 --> 00:05:00,520
Speaker 1: So they put them into tortilla. Them get them in tortilla.

107
00:05:00,640 --> 00:05:02,760
Speaker 1: First of all, I would suggest that like middle aged

108
00:05:02,760 --> 00:05:06,880
Speaker 1: white women are the highest purchasers of tortillas in California.

109
00:05:06,960 --> 00:05:10,159
Speaker 1: But that's just a case of DA movement. So I

110
00:05:10,160 --> 00:05:12,000
Speaker 1: think the enriching piece is important because they're im going

111
00:05:12,080 --> 00:05:13,719
Speaker 1: to come back full circle here is is that so

112
00:05:13,800 --> 00:05:15,800
Speaker 1: then you strip all the nutrients, you strip all the

113
00:05:15,880 --> 00:05:17,359
Speaker 1: quality out of the food, but then you add it

114
00:05:17,400 --> 00:05:20,599
Speaker 1: back in like supplements and vitamins, right like enriched grain

115
00:05:20,800 --> 00:05:23,520
Speaker 1: where they add vitamin A, vitamin D like etc. Back

116
00:05:23,560 --> 00:05:25,480
Speaker 1: to it. You know, same thing with orange juice right

117
00:05:25,520 --> 00:05:28,600
Speaker 1: like they'll strip all that out and then they'll add vitamin.

118
00:05:28,279 --> 00:05:30,640
Speaker 2: C back to the orange juice, which is so weird

119
00:05:30,760 --> 00:05:32,840
Speaker 2: yeap is it because it's not like shelf stable, like

120
00:05:32,920 --> 00:05:34,200
Speaker 2: it doesn't last that long.

121
00:05:34,279 --> 00:05:35,880
Speaker 1: So well, it's because when you like a lot of

122
00:05:35,880 --> 00:05:38,320
Speaker 1: the vitamins that come in like the pit and come

123
00:05:38,320 --> 00:05:39,760
Speaker 1: through the whole orange. So when you want to do

124
00:05:39,800 --> 00:05:42,080
Speaker 1: pull free orange juice, you're losing a lot of it.

125
00:05:42,200 --> 00:05:44,680
Speaker 2: Well also I know from what I heard actually is

126
00:05:44,720 --> 00:05:46,839
Speaker 2: if like you're if you were to you know, juice,

127
00:05:46,839 --> 00:05:49,080
Speaker 2: say your own orange juice, Like the quicker you drink it,

128
00:05:49,120 --> 00:05:51,560
Speaker 2: the more the nutritional value holds up. So if you

129
00:05:51,600 --> 00:05:53,200
Speaker 2: let it sit out for a long periods of time,

130
00:05:53,240 --> 00:05:54,880
Speaker 2: it kind of depletes, is that true.

131
00:05:54,960 --> 00:05:56,680
Speaker 1: Yeah, food that sits for a while does lose their

132
00:05:56,760 --> 00:05:59,280
Speaker 1: nutritional value. And then also food the more you cook it,

133
00:05:59,440 --> 00:06:01,280
Speaker 1: the more nutrient to lose. That's why you've got a

134
00:06:01,279 --> 00:06:02,960
Speaker 1: lot of people in the carnivore movement that are like,

135
00:06:03,000 --> 00:06:05,480
Speaker 1: eat it only rare or even raw, because that's how

136
00:06:05,480 --> 00:06:08,000
Speaker 1: you're getting the full benefits of the meat. Yeah, that's

137
00:06:08,000 --> 00:06:11,640
Speaker 1: steak tartar. I love steak tartar. Yeah, exactly. I've I

138
00:06:12,080 --> 00:06:13,839
Speaker 1: think I got her to marry me on steak tartar.

139
00:06:14,040 --> 00:06:14,599
Speaker 2: It's true.

140
00:06:14,640 --> 00:06:16,440
Speaker 1: It was that or or or sandwiches.

141
00:06:16,440 --> 00:06:19,160
Speaker 2: Do we have steak tartar like Wolfgang Puck in Vegas?

142
00:06:19,320 --> 00:06:21,599
Speaker 1: I we had. I woke you up one morning with

143
00:06:21,640 --> 00:06:25,279
Speaker 1: steak tartar on your bedside table. It wasn't steak based.

144
00:06:25,279 --> 00:06:26,200
Speaker 2: This is before we were married.

145
00:06:26,360 --> 00:06:30,239
Speaker 1: So what so my, so kind of my, my, my.

146
00:06:30,240 --> 00:06:34,600
Speaker 1: My final punctuation on this story is this, we're obfuscating

147
00:06:34,680 --> 00:06:37,880
Speaker 1: the issue by talking about, well, maybe ultra processed foods

148
00:06:37,920 --> 00:06:41,200
Speaker 1: aren't that bad, right and trust the science, or we're

149
00:06:41,240 --> 00:06:44,280
Speaker 1: all so busy, you see, that's not the problem. The

150
00:06:44,320 --> 00:06:48,440
Speaker 1: real problem here is that there's not many options in

151
00:06:48,480 --> 00:06:54,120
Speaker 1: the market for less less processed foods or healthier foods

152
00:06:54,120 --> 00:06:57,680
Speaker 1: which are also quote processed not ultra processed, because the

153
00:06:57,720 --> 00:07:00,200
Speaker 1: only options that you have to buy foods are from

154
00:07:00,240 --> 00:07:03,640
Speaker 1: one of the few food manufacturers. Now there's sub brands

155
00:07:03,680 --> 00:07:06,520
Speaker 1: like Trader Joe's. She mentions Trader Joe's in this article.

156
00:07:07,160 --> 00:07:09,680
Speaker 1: The Trader Joe's mac and cheese is no different than

157
00:07:09,680 --> 00:07:11,560
Speaker 1: the Craft mac and cheese. It just comes in a

158
00:07:11,600 --> 00:07:13,400
Speaker 1: cool box with a cooler label, and it's kind of

159
00:07:13,400 --> 00:07:16,600
Speaker 1: fun and quirky. It's the same junk. So what I've

160
00:07:16,600 --> 00:07:19,560
Speaker 1: said is, Okay, we get it. We're tight on time,

161
00:07:19,680 --> 00:07:22,080
Speaker 1: we're tight on money. We need to change the incentive

162
00:07:22,080 --> 00:07:25,880
Speaker 1: structure for the businesses that are producing these foods. There

163
00:07:25,960 --> 00:07:29,920
Speaker 1: is enough chefs out there and Maha folk who are

164
00:07:29,920 --> 00:07:33,640
Speaker 1: willing to produce seatial free chicken tenders that are lightly

165
00:07:33,680 --> 00:07:35,760
Speaker 1: processed as opposed to the junk that we're getting from

166
00:07:35,760 --> 00:07:39,840
Speaker 1: Tyson or the Dino nuggets. There's enough independent food manufacturers

167
00:07:39,880 --> 00:07:43,560
Speaker 1: out there who can produce this good food for working parents,

168
00:07:43,840 --> 00:07:46,680
Speaker 1: but the market has pushed them out. There's too many

169
00:07:46,720 --> 00:07:48,880
Speaker 1: barriers of entry for them to get into the market,

170
00:07:48,960 --> 00:07:51,760
Speaker 1: and those barriers come from the USDA, the FDA, local

171
00:07:51,800 --> 00:07:55,520
Speaker 1: health departments, local cities even and in furthermore, access to capital.

172
00:07:55,800 --> 00:07:58,000
Speaker 1: So that's why these big guys end up taking all

173
00:07:58,000 --> 00:08:00,440
Speaker 1: of the market share and forcing all this ultra processed

174
00:08:00,440 --> 00:08:02,840
Speaker 1: food down our throats. So I think in conclusion on

175
00:08:02,880 --> 00:08:05,200
Speaker 1: this article, yeah, we get it. It's not going to

176
00:08:05,240 --> 00:08:08,400
Speaker 1: be an overnight fix. However, we can change the market,

177
00:08:08,600 --> 00:08:10,520
Speaker 1: and by virtue of changing the market, we can fix

178
00:08:10,560 --> 00:08:11,240
Speaker 1: our behaviors.

179
00:08:11,520 --> 00:08:14,800
Speaker 2: Right, And I'll just touch on this, you know, is

180
00:08:14,880 --> 00:08:17,480
Speaker 2: it is hard, right, especially when we're short on time

181
00:08:17,520 --> 00:08:19,440
Speaker 2: and our kids are in a million sports and activities,

182
00:08:19,440 --> 00:08:21,600
Speaker 2: it is easier to just throw them a bag of

183
00:08:21,640 --> 00:08:23,320
Speaker 2: goldfish or whatever it is. I'm not saying we give

184
00:08:23,360 --> 00:08:25,680
Speaker 2: them goldfish, but it is easier. So I agree with

185
00:08:25,720 --> 00:08:29,080
Speaker 2: her on that because sometimes it is impossible, seems at

186
00:08:29,080 --> 00:08:32,680
Speaker 2: the time impossible to make something you know, that's super

187
00:08:32,760 --> 00:08:34,160
Speaker 2: nutrient dense and what have you.

188
00:08:34,440 --> 00:08:36,320
Speaker 1: Yeah, and that's why we've worked to do things like

189
00:08:36,320 --> 00:08:38,640
Speaker 1: get our kids addicted to real foods. Right, So you

190
00:08:38,640 --> 00:08:40,760
Speaker 1: want the goldfish because you're getting that cheddar flavor in

191
00:08:40,760 --> 00:08:43,360
Speaker 1: the youmami, etc. And the crunch like we give our

192
00:08:43,520 --> 00:08:46,080
Speaker 1: like our kids eat cheese as if they're there's no tomorrow.

193
00:08:46,160 --> 00:08:49,440
Speaker 1: They love cheese, yep, so like we'll have we'll always

194
00:08:49,559 --> 00:08:52,760
Speaker 1: introduce them to different flavors of cheese, grate cheese, age cheese,

195
00:08:52,920 --> 00:08:55,640
Speaker 1: raw cheese, you name it. And then the crunch element

196
00:08:55,720 --> 00:08:57,320
Speaker 1: is really just like some sort of a cracker, so

197
00:08:57,360 --> 00:09:00,640
Speaker 1: you can get like also toasting, like we've gotten our

198
00:09:00,679 --> 00:09:03,440
Speaker 1: kids to like if they're gonna want to eat the carbs, like,

199
00:09:03,520 --> 00:09:05,960
Speaker 1: let's get a good bread product and then they toasted themselves.

200
00:09:06,040 --> 00:09:07,959
Speaker 2: And moms, if all you can give your kids is

201
00:09:08,040 --> 00:09:11,400
Speaker 2: that ultra process stuff, you're still doing a good job.

202
00:09:11,640 --> 00:09:12,240
Speaker 2: I know it's hard.

203
00:09:12,440 --> 00:09:13,680
Speaker 1: I'm not like one meal a week.

204
00:09:13,800 --> 00:09:16,160
Speaker 2: Yeah, let's not you know, crap on everybody who's unable

205
00:09:16,200 --> 00:09:17,160
Speaker 2: to do this, of course.

206
00:09:17,200 --> 00:09:19,160
Speaker 1: And that's that's what I want to avoid because I

207
00:09:19,200 --> 00:09:20,800
Speaker 1: think that's turned a lot of people off to the

208
00:09:20,840 --> 00:09:23,719
Speaker 1: movement because there's this all or nothing approach, this perfecting.

209
00:09:24,160 --> 00:09:25,160
Speaker 1: It is unrealistic.

210
00:09:25,280 --> 00:09:25,800
Speaker 2: It really is.

211
00:09:25,880 --> 00:09:28,440
Speaker 1: Start with one meal a week, one meal a week

212
00:09:28,480 --> 00:09:30,679
Speaker 1: around the table. And what I will tell you anecdotally

213
00:09:30,800 --> 00:09:32,880
Speaker 1: is that when you get your kids to help you

214
00:09:32,960 --> 00:09:34,760
Speaker 1: cook the food, they will eat the food.

215
00:09:34,960 --> 00:09:38,120
Speaker 2: Yeah, you made like tomato and bean soup the other day,

216
00:09:38,120 --> 00:09:39,640
Speaker 2: and James thought it was the best thing in the.

217
00:09:40,040 --> 00:09:42,320
Speaker 1: Because he helped us make it. So, like, we cut

218
00:09:42,400 --> 00:09:44,440
Speaker 1: all the ingredients and this is a recent episode on

219
00:09:44,440 --> 00:09:47,120
Speaker 1: our American Gravy Show. We cut all the ingredients, but

220
00:09:47,160 --> 00:09:49,040
Speaker 1: then we built it in a soup pot and we

221
00:09:49,120 --> 00:09:50,800
Speaker 1: let him put it in and stir it and add

222
00:09:50,840 --> 00:09:52,680
Speaker 1: it and stir it and add olive oil and salt,

223
00:09:52,679 --> 00:09:55,160
Speaker 1: et cetera. He ate like six. He was like, that

224
00:09:55,240 --> 00:09:57,160
Speaker 1: is the best thing. El Yeah, it was like zucchini

225
00:09:57,240 --> 00:09:59,480
Speaker 1: and squash. I mean, yeah, this kid was like two

226
00:09:59,520 --> 00:10:01,439
Speaker 1: steps away. It's involved frog legsky.

227
00:10:01,520 --> 00:10:04,400
Speaker 2: Yeah, exactly. Get your kids involved at least one meal

228
00:10:04,400 --> 00:10:06,080
Speaker 2: a week where you guys are sitting around the table.

229
00:10:06,280 --> 00:10:11,880
Speaker 1: There's enough food education and information out there from YouTube

230
00:10:11,920 --> 00:10:14,840
Speaker 1: across like Rumble, you name it, like all these platforms

231
00:10:14,880 --> 00:10:17,240
Speaker 1: where you can pick up a couple tips here and there,

232
00:10:17,400 --> 00:10:19,280
Speaker 1: but getting your kids involved is a key to that.

233
00:10:19,400 --> 00:10:21,360
Speaker 1: So I don't want to poopoo the story too much.

234
00:10:21,400 --> 00:10:23,480
Speaker 1: I think the angle was a little bit political. I

235
00:10:23,520 --> 00:10:25,600
Speaker 1: don't like that, although I do think we should lend

236
00:10:25,600 --> 00:10:27,560
Speaker 1: credence to some of the feelings that people feel as

237
00:10:27,600 --> 00:10:29,680
Speaker 1: if the perfect is ruining good.

238
00:10:30,720 --> 00:10:35,720
Speaker 2: Speaking of ultra processed food protein powders.

239
00:10:35,360 --> 00:10:37,679
Speaker 1: What about protein? They can chain a lot of stuff

240
00:10:37,840 --> 00:10:40,960
Speaker 1: they do, can I'm full on protein right now, including

241
00:10:41,400 --> 00:10:43,880
Speaker 1: lead like from a number two pencil.

242
00:10:44,679 --> 00:10:45,120
Speaker 2: I don't know.

243
00:10:45,880 --> 00:10:49,040
Speaker 1: So you can smudge a protein powder all over a

244
00:10:49,080 --> 00:10:50,800
Speaker 1: scantron and get an A on the test.

245
00:10:50,679 --> 00:10:55,640
Speaker 2: And possibly so. Over the past fifteen years, Americans obsession

246
00:10:55,800 --> 00:10:57,839
Speaker 2: with protein has transformed.

247
00:10:57,880 --> 00:11:00,400
Speaker 1: Would you agree, Oh my gosh, well no, I agree,

248
00:11:00,440 --> 00:11:02,040
Speaker 1: but I see I think that's a positive. You and

249
00:11:02,120 --> 00:11:03,439
Speaker 1: I were talking on the way up here and you

250
00:11:03,480 --> 00:11:05,959
Speaker 1: were like, oh my god, the obsession has gotten like overboard,

251
00:11:06,160 --> 00:11:09,160
Speaker 1: which I do. Well, think it's gone overboard.

252
00:11:08,800 --> 00:11:11,000
Speaker 2: Because I mean, even if you go on you know, Instagram,

253
00:11:11,000 --> 00:11:13,960
Speaker 2: for instance, everything is about protein and getting this much protein.

254
00:11:14,000 --> 00:11:15,240
Speaker 1: I was trying to get enough protein.

255
00:11:15,920 --> 00:11:16,800
Speaker 2: It was it was bad.

256
00:11:17,080 --> 00:11:19,440
Speaker 1: Well, I think that. I think that it's it's created

257
00:11:19,520 --> 00:11:22,680
Speaker 1: like micro industries for protein powders and supplements and co packers,

258
00:11:22,720 --> 00:11:24,600
Speaker 1: et cetera. And you don't know like what you're getting

259
00:11:24,600 --> 00:11:26,360
Speaker 1: in those protein powders because a lot of them do

260
00:11:26,440 --> 00:11:28,920
Speaker 1: have other junk in there to make them sweet, and

261
00:11:28,960 --> 00:11:30,760
Speaker 1: it's like sugary. What right?

262
00:11:31,040 --> 00:11:34,400
Speaker 2: I mean? I just saw the other day. There's protein popcorn.

263
00:11:35,160 --> 00:11:38,760
Speaker 2: They're just throwing away, is protein popcorn? Apparently this popcorn

264
00:11:38,760 --> 00:11:39,600
Speaker 2: has protein in it.

265
00:11:39,720 --> 00:11:42,160
Speaker 1: Well, I'm see, and this is where the food marketing

266
00:11:42,200 --> 00:11:43,760
Speaker 1: machine comes in and is it?

267
00:11:43,880 --> 00:11:46,760
Speaker 2: But then I'm thinking, is is there protein? And popcorn

268
00:11:46,760 --> 00:11:47,120
Speaker 2: in general?

269
00:11:47,160 --> 00:11:48,680
Speaker 1: I don't know. I never look at like, yeah, there's

270
00:11:48,679 --> 00:11:50,840
Speaker 1: a little protein in there, okay, and especially if you

271
00:11:50,880 --> 00:11:52,880
Speaker 1: do the cheese dust, you might get zero point three

272
00:11:53,040 --> 00:11:56,560
Speaker 1: grams of protein. It's the food marketing machine. The same

273
00:11:56,559 --> 00:11:59,280
Speaker 1: thing happened with sustainability. The same thing was going on

274
00:11:59,320 --> 00:12:01,360
Speaker 1: in the nineties with like the carb count and like

275
00:12:01,440 --> 00:12:04,600
Speaker 1: simple carbs, right, like there's always that a fiber or

276
00:12:04,679 --> 00:12:07,400
Speaker 1: all natural. What happens is there's a movement and in

277
00:12:07,520 --> 00:12:10,520
Speaker 1: the big food marketing machines, the food manufacturers, they pick

278
00:12:10,600 --> 00:12:14,280
Speaker 1: up on this kind of marketing buzz term movement and

279
00:12:14,320 --> 00:12:18,400
Speaker 1: they put it on everything. And then you lose you

280
00:12:18,480 --> 00:12:21,400
Speaker 1: lose focus and definition on the original movement or the

281
00:12:21,440 --> 00:12:24,880
Speaker 1: original word, right, because now you're seeing on packaging they'll

282
00:12:24,880 --> 00:12:27,839
Speaker 1: be like nine grams of protein and it's marketing on

283
00:12:27,880 --> 00:12:30,080
Speaker 1: the xterior of the package. It's the same trisk it

284
00:12:30,160 --> 00:12:31,880
Speaker 1: or it's the same productor exact same.

285
00:12:31,920 --> 00:12:34,640
Speaker 2: They just have the grams of protein on the front. Now.

286
00:12:34,800 --> 00:12:37,600
Speaker 1: Yeah, like, let's just say that artificial food dies suddenly

287
00:12:37,600 --> 00:12:39,880
Speaker 1: were a good thing, and people are like, oh, we

288
00:12:39,960 --> 00:12:42,800
Speaker 1: love artificials food. Does it'd be like thirty two grams

289
00:12:42,800 --> 00:12:45,880
Speaker 1: of artificial food dies right, Like, in fact, they're just

290
00:12:46,040 --> 00:12:49,720
Speaker 1: highlighting and remarketing something within their product. They're not changing

291
00:12:49,760 --> 00:12:53,520
Speaker 1: the formula. And we've talked about that in previous episodes. So, like,

292
00:12:53,600 --> 00:12:55,560
Speaker 1: proteins are good, but what I would say about the

293
00:12:55,559 --> 00:12:58,640
Speaker 1: proteins is, don't get obsessed with the protein powders. By

294
00:12:58,679 --> 00:13:01,120
Speaker 1: the time you We know this because we make a

295
00:13:01,160 --> 00:13:02,679
Speaker 1: lot of shakes in our house.

296
00:13:02,760 --> 00:13:05,080
Speaker 2: Can I just part sorry, I don't want to catch you. So,

297
00:13:05,920 --> 00:13:08,080
Speaker 2: can anyone point us in the right direction of a

298
00:13:08,120 --> 00:13:10,920
Speaker 2: good protein powder that's not gonna make us poop our pants?

299
00:13:10,960 --> 00:13:13,800
Speaker 1: We've tried whoa, whoa, We have tried them all this

300
00:13:14,000 --> 00:13:16,440
Speaker 1: protein does a lot of these protein powders hurt my stomach.

301
00:13:16,920 --> 00:13:19,440
Speaker 2: Yeah, I mean there's a few that are okay for me,

302
00:13:19,600 --> 00:13:22,600
Speaker 2: but I cannot for whatever reason I me and why

303
00:13:22,760 --> 00:13:24,400
Speaker 2: protein do not work?

304
00:13:24,600 --> 00:13:28,760
Speaker 1: No way, yes, way it bus away. Okay, Yeah, it's

305
00:13:28,760 --> 00:13:32,160
Speaker 1: the way, but like that's a great protein. But I've

306
00:13:32,160 --> 00:13:34,640
Speaker 1: really just relegated myself. I'll just eat steak, chicken. I'll

307
00:13:34,679 --> 00:13:35,560
Speaker 1: just eat meat all day.

308
00:13:35,679 --> 00:13:37,520
Speaker 2: Well, I did see something the other day. This lady

309
00:13:37,600 --> 00:13:40,040
Speaker 2: was like, stop going for the protein bar, just make

310
00:13:40,080 --> 00:13:40,960
Speaker 2: a chicken cutlet.

311
00:13:41,640 --> 00:13:44,040
Speaker 1: Yeah, because if you're getting like nineteen grams of protein

312
00:13:44,080 --> 00:13:46,280
Speaker 1: and a full protein shake with all that other stuff

313
00:13:46,280 --> 00:13:48,520
Speaker 1: in there, you could cook a piece of mahi which

314
00:13:48,559 --> 00:13:50,080
Speaker 1: is like packed with protein.

315
00:13:49,800 --> 00:13:52,840
Speaker 2: Or mahi has eight ounces of mahi is like forty

316
00:13:52,920 --> 00:13:54,080
Speaker 2: two grams of protein.

317
00:13:54,160 --> 00:13:56,360
Speaker 1: I would much rather just like eat a piece of

318
00:13:56,400 --> 00:13:58,719
Speaker 1: mahi while I'm walking down the street. Yeah, let's let's

319
00:13:58,760 --> 00:14:01,200
Speaker 1: start that trying chicken brass. Yeah, just like walking around.

320
00:14:01,280 --> 00:14:03,000
Speaker 1: I did that the other day. I remember I cooked

321
00:14:03,000 --> 00:14:05,160
Speaker 1: all that steak on Sunday and then I just left

322
00:14:05,200 --> 00:14:07,560
Speaker 1: the house with like a cold New York strip stake.

323
00:14:07,600 --> 00:14:09,080
Speaker 2: But we went on a walk and he's just walking

324
00:14:09,080 --> 00:14:10,600
Speaker 2: around the block eating piece of steak.

325
00:14:10,800 --> 00:14:12,800
Speaker 1: It is true, once again, another reason why the neighbors

326
00:14:12,840 --> 00:14:13,520
Speaker 1: don't talk to us.

327
00:14:14,080 --> 00:14:17,160
Speaker 2: Actually, speaking of neighbors, somebody let their dog poop all

328
00:14:17,200 --> 00:14:18,800
Speaker 2: over our driveway.

329
00:14:19,200 --> 00:14:22,200
Speaker 1: I am livid. First of all, let me say this,

330
00:14:22,560 --> 00:14:26,760
Speaker 1: there is a secret like sidewalk pooper in our neighborhood.

331
00:14:26,800 --> 00:14:29,040
Speaker 1: So what what? Laura and I have been going on

332
00:14:29,240 --> 00:14:31,840
Speaker 1: a lot of walks lately. We're I feel like we're

333
00:14:31,880 --> 00:14:34,600
Speaker 1: like a ninety year old couple. We got on TV

334
00:14:34,720 --> 00:14:37,600
Speaker 1: that's closed caption. I can't hear anything, so I'm always saying.

335
00:14:37,360 --> 00:14:39,880
Speaker 2: What I'm falling for the AI videos.

336
00:14:39,920 --> 00:14:42,040
Speaker 1: Now I'm talking about eating oatmeal before I go to bed.

337
00:14:42,360 --> 00:14:45,600
Speaker 1: And now when we're we're taking leisurely walks while holding hands.

338
00:14:46,600 --> 00:14:51,080
Speaker 1: It's very romantic. But we walk and we're walking down

339
00:14:51,120 --> 00:14:53,080
Speaker 1: the street the other day and I'm like, oh, look out,

340
00:14:53,120 --> 00:14:55,320
Speaker 1: there's like a little it was like a trail of poop.

341
00:14:55,360 --> 00:14:56,280
Speaker 1: Well there was just like one.

342
00:14:56,320 --> 00:14:58,040
Speaker 2: It was like the dogs still on a walk and

343
00:14:58,240 --> 00:14:59,400
Speaker 2: the poop is just coming out.

344
00:14:59,480 --> 00:15:01,840
Speaker 1: Yep, we go five feet, another little poop, five feet

345
00:15:01,840 --> 00:15:03,880
Speaker 1: another one. This one was was shmered.

346
00:15:04,440 --> 00:15:06,520
Speaker 2: Yeah. But then this morning, on our way to take

347
00:15:06,680 --> 00:15:08,680
Speaker 2: taking the kids to school, I go Andrew will never

348
00:15:08,720 --> 00:15:11,000
Speaker 2: believe this, there's poo in our driveway. He's like, no way,

349
00:15:11,160 --> 00:15:12,600
Speaker 2: there's I'm not kidding. They're pooh.

350
00:15:12,640 --> 00:15:14,400
Speaker 1: So a dog had to walk up. It was either

351
00:15:14,440 --> 00:15:16,520
Speaker 1: a dog or a human. It might have been a gorilla.

352
00:15:16,720 --> 00:15:20,520
Speaker 1: It was pretty big, so the dog had to walk

353
00:15:20,640 --> 00:15:24,320
Speaker 1: up into our driveway and drop a deuce and it

354
00:15:24,400 --> 00:15:26,320
Speaker 1: was fresh. There was like a little steam on there.

355
00:15:26,560 --> 00:15:29,120
Speaker 1: But what I'm going to do is I am now

356
00:15:29,200 --> 00:15:31,960
Speaker 1: going to start measuring. I'm going to get the exact size,

357
00:15:32,000 --> 00:15:34,480
Speaker 1: and I'm going to find it like finger printing, but

358
00:15:34,640 --> 00:15:38,360
Speaker 1: like matching the poop with the dog, matching fingerprints to

359
00:15:38,160 --> 00:15:39,600
Speaker 1: the to the criminal.

360
00:15:39,720 --> 00:15:41,920
Speaker 2: But also, it's not the dog's faut, it's the owner's fault.

361
00:15:42,160 --> 00:15:44,280
Speaker 2: Why is the owner just letting its everywhere?

362
00:15:44,440 --> 00:15:46,440
Speaker 1: I don't care. Dog's in on it. Dogs should know better.

363
00:15:46,480 --> 00:15:48,640
Speaker 2: Okay, well it should have at least done it in

364
00:15:48,680 --> 00:15:50,680
Speaker 2: the grass. Why would do it on our driveway?

365
00:15:50,680 --> 00:15:51,880
Speaker 1: That way, at least you can wipe it off the

366
00:15:51,960 --> 00:15:54,440
Speaker 1: driveway easier, spray it down. If it's in the grass,

367
00:15:54,080 --> 00:15:56,360
Speaker 1: the kids jump on it and then the next thing

368
00:15:56,360 --> 00:15:58,360
Speaker 1: you know, it ends up in their bed. So if

369
00:15:58,400 --> 00:16:02,960
Speaker 1: you listening, if you're the secret of Cooper, just get out.

370
00:16:03,480 --> 00:16:05,720
Speaker 1: We're coming after you. I'm going to get involved with

371
00:16:05,760 --> 00:16:08,320
Speaker 1: city council on this one. Get the forends, you know what.

372
00:16:08,360 --> 00:16:10,360
Speaker 2: We got to pull up our cameras and find out

373
00:16:10,400 --> 00:16:10,960
Speaker 2: who this was.

374
00:16:11,160 --> 00:16:13,640
Speaker 1: Yeah, well, unfortunately we're not going to talk about that.

375
00:16:13,760 --> 00:16:17,640
Speaker 1: But all right, good times. What's our next story today? MTV?

376
00:16:18,160 --> 00:16:22,520
Speaker 2: That was the thing growing up MTV, Remember TRL Total

377
00:16:22,600 --> 00:16:23,080
Speaker 2: Crest Live.

378
00:16:23,240 --> 00:16:24,960
Speaker 1: I would run home at Carson Dally.

379
00:16:25,200 --> 00:16:29,160
Speaker 2: Yes, I would sprint home from school to see the

380
00:16:29,280 --> 00:16:34,000
Speaker 2: latest music video drop right, And that was the thing.

381
00:16:34,280 --> 00:16:36,400
Speaker 2: It was like all the excitement in the world. You

382
00:16:36,440 --> 00:16:39,000
Speaker 2: would call your friends everyone to talk about the new

383
00:16:39,000 --> 00:16:40,600
Speaker 2: song that dropped. Oh my god, did you see so

384
00:16:40,640 --> 00:16:42,200
Speaker 2: and so in the music video? It was the thing.

385
00:16:42,400 --> 00:16:45,440
Speaker 1: You know, MTV is closing, MTV shutting down.

386
00:16:45,560 --> 00:16:48,960
Speaker 2: But this leads me to I guess the topic of

387
00:16:49,000 --> 00:16:51,359
Speaker 2: this is celebrity relevance.

388
00:16:51,480 --> 00:16:54,880
Speaker 1: Are they relevant any longer? Well, like MTV celebrities not

389
00:16:54,920 --> 00:16:55,560
Speaker 1: going to be relevant.

390
00:16:55,560 --> 00:16:57,160
Speaker 2: But I don't know, I'm saying. But even back then,

391
00:16:57,240 --> 00:16:59,920
Speaker 2: it was like you had to watch all the award

392
00:17:00,080 --> 00:17:02,120
Speaker 2: shows and you wanted to see what people were wearing.

393
00:17:02,160 --> 00:17:05,600
Speaker 2: And I actually spoke with our daughter the other day

394
00:17:06,119 --> 00:17:08,400
Speaker 2: and there was a picture of Hillary Duff she posted

395
00:17:08,480 --> 00:17:10,240
Speaker 2: on her Instagram and I said, and she was young,

396
00:17:10,280 --> 00:17:11,560
Speaker 2: and I said, I was there. It was at her

397
00:17:11,640 --> 00:17:14,080
Speaker 2: album signing, because I have a picture of it, and

398
00:17:14,480 --> 00:17:16,600
Speaker 2: you know. She was like, why were you there? And

399
00:17:16,640 --> 00:17:19,359
Speaker 2: I was like, that's the only way you interacted with celebrities.

400
00:17:19,359 --> 00:17:21,639
Speaker 2: You didn't have this access to them at all times

401
00:17:21,640 --> 00:17:23,959
Speaker 2: on social media and their updates on their lives, like

402
00:17:24,000 --> 00:17:25,560
Speaker 2: every you know what I mean as.

403
00:17:25,480 --> 00:17:28,479
Speaker 1: Social media killed the celebrity. Ooh, that could be our

404
00:17:28,520 --> 00:17:29,159
Speaker 1: next article.

405
00:17:29,440 --> 00:17:33,720
Speaker 2: Yes, possibly because because you know everything about them now

406
00:17:33,720 --> 00:17:35,160
Speaker 2: before they were kind of mysterious.

407
00:17:35,240 --> 00:17:37,440
Speaker 1: They that's a great point, they were mysterious. I don't

408
00:17:37,440 --> 00:17:39,000
Speaker 1: want to know everything about you. I don't want to

409
00:17:39,000 --> 00:17:40,000
Speaker 1: hear you, I think about you.

410
00:17:40,080 --> 00:17:42,480
Speaker 2: It has turned me off to so many people I

411
00:17:42,520 --> 00:17:43,720
Speaker 2: once looked up to, well.

412
00:17:43,720 --> 00:17:45,399
Speaker 1: Especially because you find out that their brains are made

413
00:17:45,440 --> 00:17:47,800
Speaker 1: of cabbage. A lot of them just don't have the

414
00:17:47,920 --> 00:17:50,480
Speaker 1: like thought and intellect that you assume they did by

415
00:17:50,520 --> 00:17:52,359
Speaker 1: way of like their lyrics.

416
00:17:51,960 --> 00:17:54,080
Speaker 2: You used the thing they were like the coolest, they

417
00:17:54,160 --> 00:17:55,920
Speaker 2: must be the coolest people in the world.

418
00:17:56,000 --> 00:17:57,679
Speaker 1: And now I'm like, gosh, you're a moron. But now

419
00:17:57,760 --> 00:17:59,560
Speaker 1: every celebrity has also become political.

420
00:18:00,080 --> 00:18:02,600
Speaker 2: Yeah, I think it is also annoying, which is also annoying.

421
00:18:02,600 --> 00:18:04,080
Speaker 2: I mean, they are people, they have, you know, the

422
00:18:04,160 --> 00:18:06,720
Speaker 2: right to their own opinion, but sometimes it's like, come.

423
00:18:06,560 --> 00:18:09,240
Speaker 1: On, well, you're right. I find the ones I find

424
00:18:09,280 --> 00:18:11,679
Speaker 1: annoying are the ones that are just like kind of

425
00:18:12,280 --> 00:18:15,840
Speaker 1: reciting the tropes. Yeah, the political tropes that they're being told.

426
00:18:15,560 --> 00:18:17,520
Speaker 2: By do as I say, not as I do type

427
00:18:17,520 --> 00:18:17,960
Speaker 2: of people.

428
00:18:18,119 --> 00:18:22,280
Speaker 1: Yeah, there's a lot of those. Well, to me, politician

429
00:18:22,480 --> 00:18:25,840
Speaker 1: and hypocrite are synonymous with one another, so if they

430
00:18:25,880 --> 00:18:31,000
Speaker 1: try and become politicians, then that ultimately taints who they are. Yeah.

431
00:18:31,160 --> 00:18:33,120
Speaker 1: You know what I loved about MTV? I will say

432
00:18:33,160 --> 00:18:35,320
Speaker 1: this is that what was the show where the popcorn

433
00:18:35,320 --> 00:18:38,080
Speaker 1: came down? Oh? Remote Control? Remember they would sit in

434
00:18:38,160 --> 00:18:40,359
Speaker 1: the chairs. I'm pretty sure Adam Carolla was on that

435
00:18:40,520 --> 00:18:43,639
Speaker 1: Remote Control. Yeah, Remote Control was the show where the

436
00:18:43,640 --> 00:18:46,720
Speaker 1: popcorn came down. Okay, I had a remote Control. That

437
00:18:46,760 --> 00:18:48,240
Speaker 1: was a cool show because they ate popcorn and I

438
00:18:48,280 --> 00:18:48,640
Speaker 1: like food.

439
00:18:50,080 --> 00:18:53,439
Speaker 2: Okay, wait, I need to I need to see this. Oh,

440
00:18:54,160 --> 00:18:57,439
Speaker 2: adamah Sailor was on Remote Control. Cool, Jay, I remember

441
00:18:57,480 --> 00:19:00,359
Speaker 2: all of this. Oh, so these do what year was this?

442
00:19:00,400 --> 00:19:00,960
Speaker 2: Because maybe I.

443
00:19:01,440 --> 00:19:04,600
Speaker 1: Nteen eighty nine, nineteen I was one year old. Yeah,

444
00:19:04,640 --> 00:19:06,800
Speaker 1: all right, what else you got going for us Todaylauren?

445
00:19:06,800 --> 00:19:07,720
Speaker 1: What do you have for breakfast?

446
00:19:09,080 --> 00:19:11,440
Speaker 2: Half of a macro bar and a coffee.

447
00:19:11,520 --> 00:19:14,479
Speaker 1: See once again, the bars strip it all away, swush

448
00:19:14,480 --> 00:19:16,720
Speaker 1: it back up together. I know. I think I'm gonna

449
00:19:16,720 --> 00:19:19,000
Speaker 1: cook twenty steaks and we're just gonna walk around with steaks.

450
00:19:19,000 --> 00:19:20,760
Speaker 1: That's what we're gonna do, all right, next episode, we're

451
00:19:20,760 --> 00:19:25,000
Speaker 1: coming in here with cold steak. What the fork? WTF?

452
00:19:25,320 --> 00:19:27,960
Speaker 2: Oh that's my one of my favorite segments.

453
00:19:28,200 --> 00:19:29,920
Speaker 1: Yeah, these are crazy food stories.

454
00:19:30,200 --> 00:19:34,120
Speaker 2: Well this is not really a food story. But okay,

455
00:19:34,240 --> 00:19:38,840
Speaker 2: So California speeding ticket prices will be based on your income.

456
00:19:39,920 --> 00:19:42,680
Speaker 1: What. Yeah, that's equity, Lauren, that's equity.

457
00:19:42,800 --> 00:19:46,639
Speaker 2: Okay, okay, so if you but is there like a limit, Like,

458
00:19:46,720 --> 00:19:47,600
Speaker 2: is there a cap on it?

459
00:19:47,640 --> 00:19:49,479
Speaker 1: So? I don't know what I read. When I read this,

460
00:19:49,520 --> 00:19:51,240
Speaker 1: I saw it was gonna be like you could have

461
00:19:51,240 --> 00:19:53,280
Speaker 1: a speeding ticket up to five thousand dollars based on

462
00:19:53,280 --> 00:19:56,239
Speaker 1: your income. So if you're one hundred million dollars.

463
00:19:56,080 --> 00:19:58,280
Speaker 2: Yeah, five thousand dollars.

464
00:19:58,320 --> 00:20:01,760
Speaker 1: This is This is classic Califor. There's absolutely They say

465
00:20:01,800 --> 00:20:04,080
Speaker 1: it's in the name of equity, but there's nothing equitable

466
00:20:04,119 --> 00:20:07,440
Speaker 1: about it. If you're you're punishing somebody for being successful.

467
00:20:07,480 --> 00:20:11,520
Speaker 2: Okay, So say you are an individual who you know

468
00:20:11,600 --> 00:20:14,639
Speaker 2: is on food stamps, et cetera. Like maybe I don't know,

469
00:20:14,960 --> 00:20:17,280
Speaker 2: not even working, who knows. So then you get a

470
00:20:17,280 --> 00:20:18,360
Speaker 2: speeding ticket and like.

471
00:20:18,840 --> 00:20:19,440
Speaker 1: What do you pay?

472
00:20:19,480 --> 00:20:23,040
Speaker 2: Like nothing box? Maybe that is so wrong.

473
00:20:23,080 --> 00:20:25,160
Speaker 1: But then if you're rich and you get the speeding ticket,

474
00:20:25,200 --> 00:20:28,960
Speaker 1: you pay five million dollars. Five million dollars for speeding.

475
00:20:29,000 --> 00:20:31,520
Speaker 2: That would be horrible. That's really that's really weird.

476
00:20:31,920 --> 00:20:34,560
Speaker 1: Well, I think I don't like that. Look, you know,

477
00:20:34,720 --> 00:20:38,040
Speaker 1: I would say that if anything Like cities, I think

478
00:20:38,280 --> 00:20:40,159
Speaker 1: if somebody gets a speeding ticket and they don't have

479
00:20:40,200 --> 00:20:42,280
Speaker 1: the money to pay it, they need to communicate with

480
00:20:42,320 --> 00:20:43,800
Speaker 1: the cities and they need to say, look, I really

481
00:20:43,840 --> 00:20:45,399
Speaker 1: don't have the money, work out some sort of a

482
00:20:45,440 --> 00:20:47,960
Speaker 1: reasonable payment plan, because there needs to be some sort

483
00:20:48,000 --> 00:20:50,720
Speaker 1: of punishment. I think even getting a speeding ticket if

484
00:20:50,760 --> 00:20:52,560
Speaker 1: you are rich, like the punishment of having to go

485
00:20:52,640 --> 00:20:55,359
Speaker 1: in and like send it in and what have you.

486
00:20:55,400 --> 00:20:57,040
Speaker 1: Maybe there's a knock on your record and you got

487
00:20:57,040 --> 00:20:59,040
Speaker 1: to pay more money on your car insurance. But like

488
00:20:59,359 --> 00:21:03,200
Speaker 1: rules are rule, everybody's subject to the same rules, right.

489
00:21:03,119 --> 00:21:05,280
Speaker 2: So I guess it's a more of a pilot program,

490
00:21:05,560 --> 00:21:09,600
Speaker 2: and one has rolled out in San Francisco.

491
00:21:09,040 --> 00:21:12,359
Speaker 1: Of course already the land is crazy. But what happens

492
00:21:12,400 --> 00:21:14,919
Speaker 1: in San Francisco happens everywhere. It's the epicenter, it's the

493
00:21:14,960 --> 00:21:16,280
Speaker 1: test case, it's the beta.

494
00:21:16,400 --> 00:21:19,280
Speaker 2: Yeah, it's Several state level proposals have been made to

495
00:21:19,280 --> 00:21:22,320
Speaker 2: adjust traffic finds based on income to make them fairer.

496
00:21:22,800 --> 00:21:26,040
Speaker 2: For example, Governor Newsom has supported plans to reduce citation

497
00:21:26,200 --> 00:21:28,200
Speaker 2: costs for lower income drivers.

498
00:21:28,480 --> 00:21:31,159
Speaker 1: And once again I will say this, I do think like,

499
00:21:31,640 --> 00:21:33,960
Speaker 1: if I think that there should be the scale should

500
00:21:33,960 --> 00:21:36,000
Speaker 1: still be the same. It shouldn't be a sliding scale

501
00:21:36,040 --> 00:21:38,280
Speaker 1: based on income. I think there should be programs available

502
00:21:38,320 --> 00:21:42,040
Speaker 1: for lower income individuals or they have to take a.

503
00:21:42,240 --> 00:21:43,200
Speaker 2: Class or something.

504
00:21:43,359 --> 00:21:46,000
Speaker 1: Yeah, you know, well, I mean have you ever taken

505
00:21:46,040 --> 00:21:47,800
Speaker 1: a speeding class and been like, okay, I had.

506
00:21:47,640 --> 00:21:49,320
Speaker 2: To take some I forget I had to take something.

507
00:21:50,160 --> 00:21:53,159
Speaker 1: You probably did have to take something like nos caption.

508
00:21:54,400 --> 00:21:57,280
Speaker 2: No, I remember I got a ticket and I had

509
00:21:57,320 --> 00:21:58,399
Speaker 2: to do a class.

510
00:21:58,440 --> 00:21:59,760
Speaker 1: Don't you think it's funny that you get a speeding

511
00:21:59,760 --> 00:22:01,840
Speaker 1: ticket now for holding your phone in your hand, but

512
00:22:01,880 --> 00:22:04,840
Speaker 1: not holding a huge double double from in and out?

513
00:22:06,040 --> 00:22:07,840
Speaker 1: What do you think about eating eating ticket for holding

514
00:22:07,840 --> 00:22:09,320
Speaker 1: your phone? Do you think about eating and driving. I

515
00:22:09,359 --> 00:22:11,359
Speaker 1: think eating and driving is more dangerous.

516
00:22:11,000 --> 00:22:12,520
Speaker 2: Than it's pretty dangerous.

517
00:22:12,720 --> 00:22:14,880
Speaker 1: If you ever tried to, like eat a big sandwich

518
00:22:14,920 --> 00:22:15,960
Speaker 1: while you're driving.

519
00:22:16,040 --> 00:22:19,280
Speaker 2: Well, yeah I have, actually one, it gets everywhere. And two,

520
00:22:19,440 --> 00:22:21,479
Speaker 2: I mean you're not really paying attention. You're trying to, like,

521
00:22:21,880 --> 00:22:23,679
Speaker 2: you know, for me at least if it isn't in

522
00:22:23,680 --> 00:22:25,680
Speaker 2: and out burger. I'm like trying to like squeeze the

523
00:22:25,720 --> 00:22:27,520
Speaker 2: spread on them on the burger.

524
00:22:27,640 --> 00:22:30,440
Speaker 1: Squeeze the spreads out of euphemism, you squeeze the spread.

525
00:22:30,440 --> 00:22:32,440
Speaker 1: I feel like we're gonna this is a gambling show

526
00:22:32,480 --> 00:22:38,080
Speaker 1: now grudooking. So Lauren doesn't let anybody eat in the car,

527
00:22:38,320 --> 00:22:40,880
Speaker 1: in her car, in my car like you.

528
00:22:40,760 --> 00:22:43,400
Speaker 2: Can have there, No, they can have They can have

529
00:22:43,640 --> 00:22:46,280
Speaker 2: snacks that aren't going to make a big mess.

530
00:22:46,160 --> 00:22:46,960
Speaker 1: Ultra processed.

531
00:22:47,640 --> 00:22:48,160
Speaker 2: Probably.

532
00:22:48,320 --> 00:22:49,959
Speaker 1: This is why we have steak. This is why all

533
00:22:50,000 --> 00:22:51,800
Speaker 1: we're going after this show. I'm gonna let the kids

534
00:22:51,840 --> 00:22:53,800
Speaker 1: eat a steak and chicken, and they're gonna be walking

535
00:22:53,840 --> 00:22:56,439
Speaker 1: around with a roasted chicken because that's easy to clean up.

536
00:22:56,480 --> 00:22:58,760
Speaker 1: They're gonna be ripped, and I always have to suffer

537
00:22:58,760 --> 00:23:00,920
Speaker 1: the consequences because the kids aren't allowed to eat in

538
00:23:00,920 --> 00:23:02,280
Speaker 1: the car. I'm not allowed to eat in a car.

539
00:23:02,359 --> 00:23:05,000
Speaker 2: That is not First of all, if you go into

540
00:23:05,040 --> 00:23:08,440
Speaker 2: my car right now, there's definitely evidence of people eating in.

541
00:23:08,400 --> 00:23:11,360
Speaker 1: The car because I take the car sometimes. It's a minivan.

542
00:23:11,480 --> 00:23:14,199
Speaker 1: I love it, Little Vanny. I love the minivan. You know,

543
00:23:14,240 --> 00:23:16,560
Speaker 1: we were not a minivan family. When we got married.

544
00:23:16,600 --> 00:23:19,560
Speaker 1: Lorne was like, I never I would have a minivan,

545
00:23:20,080 --> 00:23:21,280
Speaker 1: and I just I was.

546
00:23:21,520 --> 00:23:23,600
Speaker 2: We wanted the minivan even when we only had like

547
00:23:23,640 --> 00:23:26,040
Speaker 2: two kids. You like, were so into it, and I

548
00:23:26,080 --> 00:23:28,400
Speaker 2: was like, I don't need. I had my dream car

549
00:23:28,480 --> 00:23:30,959
Speaker 2: when we had two kids. Then I got pregnant with

550
00:23:31,000 --> 00:23:32,040
Speaker 2: a third and I had.

551
00:23:32,000 --> 00:23:33,119
Speaker 1: To quickly it happened.

552
00:23:33,520 --> 00:23:36,920
Speaker 2: Yeah, then I had to quickly change out to an suv,

553
00:23:37,000 --> 00:23:38,840
Speaker 2: which was fine. I still liked it was still cute.

554
00:23:39,359 --> 00:23:40,320
Speaker 2: Then we had the fourth.

555
00:23:40,480 --> 00:23:43,119
Speaker 1: Because the doors don't open, which I will say, our

556
00:23:43,200 --> 00:23:46,320
Speaker 1: kids are so rambunctious with doors. Every time I go over, the.

557
00:23:46,680 --> 00:23:48,520
Speaker 2: Little boys they are they just oh my gosh, they

558
00:23:48,560 --> 00:23:50,960
Speaker 2: just throw those doors open so quickly. But anyway, the

559
00:23:50,960 --> 00:23:52,560
Speaker 2: sliding doors are a game changer.

560
00:23:53,000 --> 00:23:58,000
Speaker 1: Sliding doors, the built in vacuum cleaner, the TVSD.

561
00:23:58,200 --> 00:23:59,200
Speaker 2: We have to give her up soon.

562
00:23:59,440 --> 00:24:01,359
Speaker 1: Yeah, we do. But I'm a minivan guy because it

563
00:24:01,400 --> 00:24:04,679
Speaker 1: was funny when the guy took us on a like

564
00:24:04,720 --> 00:24:07,159
Speaker 1: a spin what a little test drive, and I was like,

565
00:24:07,240 --> 00:24:10,040
Speaker 1: oh my gosh, I said, look at you behind this minivan.

566
00:24:10,119 --> 00:24:13,280
Speaker 1: You look like it's the hottest soccer mama. Look great

567
00:24:13,320 --> 00:24:15,040
Speaker 1: when kids don't even play soccer.

568
00:24:15,000 --> 00:24:16,000
Speaker 2: Yeah, they play baseball.

569
00:24:16,119 --> 00:24:19,480
Speaker 1: Yeah, well, so minivans go for it. I think that

570
00:24:19,520 --> 00:24:22,320
Speaker 1: there's been much movement in the minivan technology, so I'm

571
00:24:22,320 --> 00:24:24,720
Speaker 1: excited about that. I think it's time to sharpen our skill.

572
00:24:24,720 --> 00:24:26,400
Speaker 1: So I'm gonna give you guys a quick cooking tip

573
00:24:26,440 --> 00:24:30,840
Speaker 1: here that you can take away. That is the essence

574
00:24:30,880 --> 00:24:34,720
Speaker 1: of the wire rack. Okay, I have been one to

575
00:24:34,800 --> 00:24:36,960
Speaker 1: make this mistake in our cooking videos where I will

576
00:24:37,000 --> 00:24:38,920
Speaker 1: cook the steak and I talk about resting the steak,

577
00:24:38,960 --> 00:24:41,119
Speaker 1: which is one of the most important parts of cooking

578
00:24:41,119 --> 00:24:43,359
Speaker 1: the steak, because if you cut into it too quickly,

579
00:24:43,720 --> 00:24:46,119
Speaker 1: the molecules are still moving around at the speed of

580
00:24:46,280 --> 00:24:48,119
Speaker 1: what the heat was. Right, They're trying to reach the

581
00:24:48,119 --> 00:24:50,359
Speaker 1: temperature of the heat, so they're moving very quickly the

582
00:24:50,400 --> 00:24:52,359
Speaker 1: heat in the oven or the cooking vessel, and so

583
00:24:52,400 --> 00:24:54,040
Speaker 1: when you cut into it. It pushes a lot of

584
00:24:54,040 --> 00:24:56,040
Speaker 1: that moisture out of the meat. You let it rest,

585
00:24:56,320 --> 00:24:59,320
Speaker 1: you let all those flavors come together, you let the

586
00:24:59,359 --> 00:25:02,959
Speaker 1: protein set within the meat. But if you're leaving it

587
00:25:03,000 --> 00:25:05,720
Speaker 1: on a plate, it's still going to run a little bit.

588
00:25:06,080 --> 00:25:09,399
Speaker 1: And if you let the hot steaks sit on the plate,

589
00:25:09,720 --> 00:25:12,080
Speaker 1: what's happening on the underside of the steak is that

590
00:25:12,080 --> 00:25:15,280
Speaker 1: that steam it's actually steaming the underside of the steak

591
00:25:15,359 --> 00:25:18,480
Speaker 1: and taking it from beautiful and browned to kind of soggy.

592
00:25:18,640 --> 00:25:20,879
Speaker 1: So you get that nice caramelization or that mallur'd browning

593
00:25:20,960 --> 00:25:22,879
Speaker 1: on top of the steak, but the underside is a

594
00:25:22,880 --> 00:25:25,080
Speaker 1: little bit soggy and it sits in its own juice.

595
00:25:25,240 --> 00:25:27,240
Speaker 1: So we do this in the commercial food setting. In

596
00:25:27,240 --> 00:25:29,320
Speaker 1: the restaurants all the time is we have wire racks,

597
00:25:29,760 --> 00:25:32,120
Speaker 1: and you always rest your meat on the wire rack

598
00:25:32,200 --> 00:25:35,679
Speaker 1: because then it's there's airflow underneath it. It's not gonna steam

599
00:25:35,920 --> 00:25:37,920
Speaker 1: that heat and that moisture is going to kind of

600
00:25:37,920 --> 00:25:40,440
Speaker 1: evaporate quicker. But we can do this in the home

601
00:25:40,480 --> 00:25:42,720
Speaker 1: setting as well. After you cook your steaks, just go

602
00:25:42,800 --> 00:25:45,879
Speaker 1: buy a little wire rack from Ikia anywhere there like

603
00:25:45,880 --> 00:25:48,919
Speaker 1: one or two dollars or even improvise one and just

604
00:25:48,920 --> 00:25:50,720
Speaker 1: put it on a plate and then rest your meat

605
00:25:50,760 --> 00:25:53,639
Speaker 1: on those wire racks. Number one, it's gonna cool quicker.

606
00:25:53,920 --> 00:25:55,600
Speaker 1: And by cool, I don't mean cool so that you

607
00:25:55,640 --> 00:25:58,320
Speaker 1: can't eat it. I mean like it's gonna let the

608
00:25:58,359 --> 00:26:02,080
Speaker 1: meat settle quicker. And it's also going to allow for

609
00:26:02,160 --> 00:26:04,760
Speaker 1: a crispy or exterior on the bottom side of the

610
00:26:04,800 --> 00:26:07,359
Speaker 1: steak as well. So resting your meat, do it on

611
00:26:07,400 --> 00:26:10,280
Speaker 1: a wire rack. That's the way to go. That's my practical,

612
00:26:10,480 --> 00:26:13,080
Speaker 1: kind of valuable takeaway for this audience today on my

613
00:26:13,480 --> 00:26:14,600
Speaker 1: Sharpen your Skill segment.

614
00:26:14,920 --> 00:26:17,119
Speaker 2: I love that, and I'm so surprised we have not

615
00:26:17,240 --> 00:26:18,520
Speaker 2: been doing that in our videos.

616
00:26:18,560 --> 00:26:19,800
Speaker 1: I know, well, there's a lot to cover in the

617
00:26:19,880 --> 00:26:22,000
Speaker 1: videos because we're really targeting people who just want to

618
00:26:22,000 --> 00:26:24,600
Speaker 1: get more comfortable with their cooking and developed that muscle memory.

619
00:26:24,640 --> 00:26:26,520
Speaker 1: So I'm not trying to hit them with the overly

620
00:26:26,640 --> 00:26:27,719
Speaker 1: intellectual stuff.

621
00:26:27,960 --> 00:26:30,080
Speaker 2: M all right, moving on.

622
00:26:30,240 --> 00:26:33,879
Speaker 1: Eighty six It eighty six it get rid of it? Yeah,

623
00:26:33,920 --> 00:26:35,239
Speaker 1: what do we want? What do you want to get

624
00:26:35,320 --> 00:26:35,520
Speaker 1: rid of?

625
00:26:35,840 --> 00:26:39,600
Speaker 2: So hear me out, guys. I love pumpkin I do.

626
00:26:39,960 --> 00:26:42,280
Speaker 2: I think it's great, but Oh my gosh, what the heck?

627
00:26:42,359 --> 00:26:45,200
Speaker 2: It's pumpkin is in everything. We just saw a cup

628
00:26:45,200 --> 00:26:47,960
Speaker 2: of noodles, A pumpkin cup of noodle.

629
00:26:48,040 --> 00:26:50,440
Speaker 1: Yeah, flavor, pumpkin ramen. What Yeah?

630
00:26:50,480 --> 00:26:51,080
Speaker 2: What the heck?

631
00:26:51,240 --> 00:26:53,200
Speaker 1: I don't like pumpkins, so I'm not on the same.

632
00:26:53,040 --> 00:26:55,639
Speaker 2: Okay, but I do love I make a good pumpkin pie.

633
00:26:55,760 --> 00:26:58,840
Speaker 1: Oh gosh, I hate pumpkin pie. Oh my gosh. I

634
00:26:58,840 --> 00:26:59,919
Speaker 1: don't like pie. Period.

635
00:27:00,160 --> 00:27:02,119
Speaker 2: He doesn't like pie. I love pie.

636
00:27:02,240 --> 00:27:04,800
Speaker 1: There's not a single pie like if you all I made.

637
00:27:04,640 --> 00:27:06,720
Speaker 2: You a pie and that was fabulous, you wouldn't like it.

638
00:27:07,119 --> 00:27:09,800
Speaker 1: Let me say this, though, I don't not like pie

639
00:27:09,800 --> 00:27:13,280
Speaker 1: because of flavor. It's because of form and function, right.

640
00:27:13,119 --> 00:27:15,199
Speaker 2: Why because it's like crumbly or like.

641
00:27:16,040 --> 00:27:18,679
Speaker 1: It falls apart? So like I want to eat something

642
00:27:18,720 --> 00:27:22,080
Speaker 1: and I want to even bite. It's it's pizza, right,

643
00:27:22,160 --> 00:27:24,760
Speaker 1: I want an even bite on every single slice. I

644
00:27:24,800 --> 00:27:27,240
Speaker 1: want to be able to eat the crust and the filling,

645
00:27:27,320 --> 00:27:30,160
Speaker 1: top and bottom. But with a pie, with a pie,

646
00:27:30,520 --> 00:27:32,200
Speaker 1: it all falls apart. That's not true.

647
00:27:32,560 --> 00:27:33,600
Speaker 2: How are you cutting this pie?

648
00:27:33,680 --> 00:27:38,520
Speaker 1: An apple pie pie? Yes? Because the apple pieces fall

649
00:27:38,359 --> 00:27:40,840
Speaker 1: so fine. The pumpkin pie, the pumpkin pie holds up fine,

650
00:27:41,160 --> 00:27:43,960
Speaker 1: but it's just like gelatinous pumpkin with some I cannot

651
00:27:44,000 --> 00:27:46,199
Speaker 1: believe you hate my pumpkin pie. I don't hate your

652
00:27:46,200 --> 00:27:48,119
Speaker 1: pumpkin pie. I don't like cheesecake either. They call it

653
00:27:48,119 --> 00:27:49,960
Speaker 1: a cake, but it's not. It's not a cake.

654
00:27:50,040 --> 00:27:51,600
Speaker 2: Cheesecake is definitely not a cake.

655
00:27:51,720 --> 00:27:54,080
Speaker 1: Yeah, well, it's called cheesecake. I'm not making up the

656
00:27:54,160 --> 00:27:58,080
Speaker 1: name here, but you understand it's form and function. Right, So,

657
00:27:58,480 --> 00:27:59,720
Speaker 1: strawberry rhubarb pie.

658
00:28:00,000 --> 00:28:02,840
Speaker 2: Wait, but you like the blueberry cheesecake ice cream?

659
00:28:03,600 --> 00:28:04,840
Speaker 1: That's ice cream.

660
00:28:05,400 --> 00:28:06,919
Speaker 2: There's chunks of cheesecake in it.

661
00:28:06,960 --> 00:28:08,880
Speaker 1: Well, yeah, because that just adds flair. That's a garnish,

662
00:28:08,920 --> 00:28:09,920
Speaker 1: that's studded garnish.

663
00:28:09,960 --> 00:28:12,680
Speaker 2: Well, anyway, my eighty six is pumpkin in everything.

664
00:28:12,840 --> 00:28:14,720
Speaker 1: I think. I think the cup of noodle really threw

665
00:28:14,760 --> 00:28:17,199
Speaker 1: me for a loop. I made a pumpkin cheesecake back

666
00:28:17,240 --> 00:28:18,800
Speaker 1: when I was running a restaurant like ten or twenty

667
00:28:18,840 --> 00:28:20,840
Speaker 1: years ago, and it was really popular. That was pretty good.

668
00:28:21,200 --> 00:28:24,320
Speaker 2: Of course, his is really good, and he'll eat his pumpkin. Actually,

669
00:28:24,400 --> 00:28:26,480
Speaker 2: pumpkin and cheesecake the two things he hates.

670
00:28:26,720 --> 00:28:28,760
Speaker 1: Let me rephrase that. It sold really well. So I

671
00:28:28,800 --> 00:28:32,280
Speaker 1: was happy about it. I never ate it disgusting. It

672
00:28:32,680 --> 00:28:34,879
Speaker 1: was disgusting. Do you like pumpkin pie message es? Let

673
00:28:34,960 --> 00:28:36,879
Speaker 1: us know. I hope I didn't offend anybody. So my

674
00:28:36,920 --> 00:28:39,840
Speaker 1: eighty six is it today? Well, I'll tell you where

675
00:28:39,840 --> 00:28:41,840
Speaker 1: I came with the came up with my eighty six

676
00:28:41,880 --> 00:28:43,360
Speaker 1: it So I was reading a story about how Chick

677
00:28:43,360 --> 00:28:45,640
Speaker 1: fil A is expanding into organ. I think they're opening

678
00:28:45,680 --> 00:28:47,840
Speaker 1: six or eight locations in Organ. And Chick fil A

679
00:28:47,920 --> 00:28:50,960
Speaker 1: has penetrated California pretty hard as well. Well, that got

680
00:28:51,000 --> 00:28:55,480
Speaker 1: weird penetrated and it there's Chick fil As everywhere, and

681
00:28:55,560 --> 00:28:58,120
Speaker 1: look of all the brands like Chick fil A solid.

682
00:28:58,280 --> 00:29:00,960
Speaker 1: I love their customer service. I think their chicken is okay.

683
00:29:01,280 --> 00:29:03,640
Speaker 1: I don't think it's great. I don't like it. When

684
00:29:03,680 --> 00:29:05,560
Speaker 1: you order the original Chick fil A sandwich, you get

685
00:29:05,560 --> 00:29:07,800
Speaker 1: like one or two pickles on there, and once again

686
00:29:07,840 --> 00:29:09,880
Speaker 1: back to the evenness of the bite, you bite it

687
00:29:09,920 --> 00:29:11,320
Speaker 1: and you get the pickle in there, and you're looking

688
00:29:11,360 --> 00:29:12,880
Speaker 1: for the pickle on the next bite and the picks

689
00:29:12,920 --> 00:29:15,240
Speaker 1: on the other side. Two pickles in there. It's very weird. Yeah,

690
00:29:15,280 --> 00:29:15,960
Speaker 1: they should they.

691
00:29:15,880 --> 00:29:17,520
Speaker 2: Should at least like like at least.

692
00:29:17,400 --> 00:29:20,560
Speaker 1: Six generally speaking with the mechanics of making sandwiches, like

693
00:29:20,600 --> 00:29:23,680
Speaker 1: if every single bite isn't even, then you've failed at

694
00:29:23,680 --> 00:29:24,520
Speaker 1: making sandwiches.

695
00:29:24,760 --> 00:29:27,520
Speaker 2: Yes, I agree, because then one end you're getting all bread,

696
00:29:28,040 --> 00:29:29,680
Speaker 2: the middle is like filled with all the stuff, and

697
00:29:29,680 --> 00:29:30,680
Speaker 2: then the other end is bread.

698
00:29:31,000 --> 00:29:33,080
Speaker 1: One of the first tips I give to young cooks

699
00:29:33,200 --> 00:29:35,200
Speaker 1: is that if you're making a sandwich end to end,

700
00:29:35,680 --> 00:29:38,240
Speaker 1: end to end on the bread, you always got to

701
00:29:38,280 --> 00:29:41,000
Speaker 1: have sauce end to end. But that's I digress on

702
00:29:41,040 --> 00:29:44,520
Speaker 1: that one. So Chick fil A expanding everywhere, and that

703
00:29:44,520 --> 00:29:46,240
Speaker 1: brings me back to the Chicken Wars, and that was

704
00:29:46,280 --> 00:29:48,000
Speaker 1: like four or five years ago. You had the Popeye's

705
00:29:48,040 --> 00:29:50,800
Speaker 1: chicken sandwich, you had the McDonald's sucking sandwiche, Wendy's a

706
00:29:50,840 --> 00:29:53,240
Speaker 1: spicy crispy chicken sandwich. You had all these chicken sandwich

707
00:29:53,240 --> 00:29:55,880
Speaker 1: and then you had all the hot chicken. See. I

708
00:29:55,880 --> 00:29:59,960
Speaker 1: can't get so excited here. I get more excited about

709
00:30:00,040 --> 00:30:03,800
Speaker 1: these podcasts and those of you out there listening. I

710
00:30:03,960 --> 00:30:08,680
Speaker 1: was very apprehensive about the Chicken Wars because I started

711
00:30:08,680 --> 00:30:11,840
Speaker 1: to see these hot chicken sandwich concepts pop up all

712
00:30:11,880 --> 00:30:13,920
Speaker 1: over the place, and because it was a craze, and

713
00:30:13,960 --> 00:30:17,120
Speaker 1: it was as most crazes are, they're like blips in time.

714
00:30:17,560 --> 00:30:19,960
Speaker 1: I knew that their sales were going to be depressed

715
00:30:20,000 --> 00:30:22,120
Speaker 1: over two or three months. So you open up and you're,

716
00:30:22,320 --> 00:30:25,200
Speaker 1: you know, you're selling chicken sandwiches crazy, and then suddenly

717
00:30:25,240 --> 00:30:29,280
Speaker 1: you're going under. Actually, what was that, Mike? Was it

718
00:30:29,320 --> 00:30:31,920
Speaker 1: Mike's Dave's Hot Chicken? They just sold. They just sold out.

719
00:30:32,160 --> 00:30:34,320
Speaker 1: I think they sold for like a billion dollars too.

720
00:30:34,080 --> 00:30:37,080
Speaker 2: Like Arby, So this is a good thing. They didn't close.

721
00:30:37,400 --> 00:30:39,200
Speaker 1: I don't know. I didn't see the economics of the deal,

722
00:30:39,240 --> 00:30:42,200
Speaker 1: but I would imagine that they that there. It wasn't

723
00:30:42,200 --> 00:30:44,120
Speaker 1: a capital raise. I think was a sale. That's never

724
00:30:44,280 --> 00:30:47,120
Speaker 1: like a great sign unless you're real young and emerging

725
00:30:47,200 --> 00:30:50,120
Speaker 1: brand who's just looking to grow further and faster. Yeah,

726
00:30:50,320 --> 00:30:54,640
Speaker 1: chicken sandwich wars. I just think that the chicken sandwich

727
00:30:54,760 --> 00:30:59,360
Speaker 1: craze is becoming a little bit overdone. I'd like to

728
00:30:59,360 --> 00:31:02,240
Speaker 1: see less of the hot chicken sandwiches because I think

729
00:31:02,280 --> 00:31:03,200
Speaker 1: people do them wrong.

730
00:31:03,520 --> 00:31:04,760
Speaker 2: I don't think do you want to see a cold

731
00:31:04,800 --> 00:31:05,360
Speaker 2: chicken sandwich?

732
00:31:05,400 --> 00:31:07,640
Speaker 1: I just want to see it well chicken salad. I

733
00:31:07,680 --> 00:31:09,920
Speaker 1: would love to see a chicken salad sandwich.

734
00:31:09,920 --> 00:31:11,200
Speaker 2: Warch chicken salad sandwich.

735
00:31:11,360 --> 00:31:13,120
Speaker 1: Get a good There used to be the concept here

736
00:31:13,160 --> 00:31:15,920
Speaker 1: in la called like chicken salad chick that was that

737
00:31:16,000 --> 00:31:18,440
Speaker 1: was a chain and it was like chicken salad, chicken

738
00:31:18,480 --> 00:31:23,200
Speaker 1: salad sandwiches. Jones on Third does good chicken salad. Yeah,

739
00:31:23,200 --> 00:31:24,720
Speaker 1: I would love it. Maybe we open up a chicken

740
00:31:24,720 --> 00:31:25,840
Speaker 1: salad sandwich concept.

741
00:31:26,240 --> 00:31:27,040
Speaker 2: Let's think about it.

742
00:31:27,400 --> 00:31:31,120
Speaker 1: See this is how these When we sold our sold slappish,

743
00:31:31,160 --> 00:31:34,400
Speaker 1: our last restaurant group, Lauren goes Or. I said to Lauren,

744
00:31:34,400 --> 00:31:36,920
Speaker 1: we both agreed, we're never going to open another restaurant ever.

745
00:31:37,080 --> 00:31:39,600
Speaker 2: We're like, we are out. Oh my gosh, it's been

746
00:31:39,640 --> 00:31:40,960
Speaker 2: ten years of crazy.

747
00:31:41,360 --> 00:31:43,800
Speaker 1: Yes. I was six foot eight at the beginning, like

748
00:31:44,040 --> 00:31:47,000
Speaker 1: four five four, moving on to five to three. But

749
00:31:47,320 --> 00:31:49,400
Speaker 1: I uh, forty eight hours later we signed a lease

750
00:31:49,440 --> 00:31:52,320
Speaker 1: on a new restaurant. We did. And I'll also say

751
00:31:52,360 --> 00:31:53,840
Speaker 1: in there we had two birds chicken. We had a

752
00:31:53,920 --> 00:31:55,120
Speaker 1: chicken sandwich concept and.

753
00:31:55,080 --> 00:31:56,960
Speaker 2: It was a good chicken sandwich.

754
00:31:56,960 --> 00:31:59,000
Speaker 1: We did not do the hot fried chicken sandwich that.

755
00:31:59,080 --> 00:32:03,160
Speaker 1: We just did a good old home style fried chicken sandwich.

756
00:32:03,440 --> 00:32:06,120
Speaker 1: It was done right. It was over the top, double

757
00:32:06,120 --> 00:32:08,400
Speaker 1: hander less than eight dollars a sandwich.

758
00:32:09,120 --> 00:32:10,840
Speaker 2: It was delicious. Bob's your own, and you had a

759
00:32:10,880 --> 00:32:12,840
Speaker 2: grilled chicken option. It was great you did have a.

760
00:32:12,760 --> 00:32:15,400
Speaker 1: Grilled chicken option. They're all fried chicken sandwiches and they

761
00:32:15,440 --> 00:32:18,120
Speaker 1: fry and junk and there's too much breading on there.

762
00:32:18,200 --> 00:32:18,720
Speaker 2: Oh wow.

763
00:32:18,840 --> 00:32:21,920
Speaker 1: All right, so our quick tip and our sizzle it

764
00:32:22,080 --> 00:32:26,640
Speaker 1: are you know, should be? Why are you laughing? Why

765
00:32:26,640 --> 00:32:27,360
Speaker 1: are you laughing at me?

766
00:32:28,960 --> 00:32:30,080
Speaker 2: I don't know, you're funny.

767
00:32:30,200 --> 00:32:33,440
Speaker 1: Okay, I am pretty hilarious to her and the kids.

768
00:32:33,920 --> 00:32:37,080
Speaker 1: We're gonna talk chicken sandwiches. Who We covered a lot there.

769
00:32:37,200 --> 00:32:42,240
Speaker 2: We went through so many things, chicken sandwiches, protein powders,

770
00:32:42,920 --> 00:32:45,600
Speaker 2: speeding tickets, We've done it all.

771
00:32:45,760 --> 00:32:48,160
Speaker 1: That's because people are getting so many speeding tickets because

772
00:32:48,160 --> 00:32:49,080
Speaker 1: of the protein powders.

773
00:32:49,240 --> 00:32:50,480
Speaker 2: Yeah, well, because they're rushing home.

774
00:32:51,280 --> 00:32:55,000
Speaker 1: Pooh, you keep saying that word late you say you

775
00:32:55,040 --> 00:32:56,680
Speaker 1: slow down before you say it, and then you come

776
00:32:56,720 --> 00:32:59,160
Speaker 1: at it so hard. It's very aggressive. Nope, don't do

777
00:32:59,240 --> 00:33:01,960
Speaker 1: it again. Don't need to be Mike. Okay, okay, okay,

778
00:33:01,960 --> 00:33:03,480
Speaker 1: you don't need to be Mike. But we're gonna lose

779
00:33:03,520 --> 00:33:05,560
Speaker 1: audience in that one all right, we want to know

780
00:33:05,600 --> 00:33:08,040
Speaker 1: what your eighty six HiT's are. Obviously, we also want

781
00:33:08,040 --> 00:33:10,480
Speaker 1: to understand what you want to see. If you've seen

782
00:33:10,480 --> 00:33:14,000
Speaker 1: any cool WTF stories, what the fork send those? Over Look,

783
00:33:14,040 --> 00:33:15,920
Speaker 1: this is You're part of the show here, everybody, so

784
00:33:15,960 --> 00:33:17,880
Speaker 1: we want we want your feedback. You can find me

785
00:33:17,960 --> 00:33:19,720
Speaker 1: on X at Chef Groul.

786
00:33:19,520 --> 00:33:21,960
Speaker 2: And you can find me at Lauren Gruel. La Oh,

787
00:33:22,680 --> 00:33:27,840
Speaker 2: Lauren Lauren, she's French now Laura on Instagram Lauren Underscore

788
00:33:28,080 --> 00:33:28,520
Speaker 2: Rule and.

789
00:33:28,480 --> 00:33:31,000
Speaker 1: I'm on Instagram at Andrew Groul, so the real name

790
00:33:31,040 --> 00:33:34,200
Speaker 1: on Instagram and Chef Gruel. I play the character on X.

791
00:33:34,680 --> 00:33:37,400
Speaker 1: And that's another episode of American Gravy in the books.

792
00:33:38,160 --> 00:33:41,840
Speaker 1: We can't wait to put up the next one. Yeah,

793
00:33:41,920 --> 00:33:42,640
Speaker 1: all right, guys.

794
00:33:42,920 --> 00:33:45,360
Speaker 2: Bye,