1
00:00:00,240 --> 00:00:03,200
Speaker 1: Flaky Biscuit is a production of Shondaland Audio in partnership

2
00:00:03,240 --> 00:00:06,040
Speaker 1: with iHeartRadio.

3
00:00:06,200 --> 00:00:10,760
Speaker 2: She kicking and making.

4
00:00:10,480 --> 00:00:11,200
Speaker 1: The thing.

5
00:00:14,360 --> 00:00:15,280
Speaker 3: Special episode.

6
00:00:15,400 --> 00:00:19,040
Speaker 1: I would love to introduce this really wonderful couple. I mean,

7
00:00:19,079 --> 00:00:21,680
Speaker 1: what a power couple we have here. First, let me

8
00:00:21,680 --> 00:00:25,320
Speaker 1: introduce prominent and widely celebrated actor Very very.

9
00:00:25,560 --> 00:00:28,120
Speaker 3: Known for her role as Haley in Modern Family.

10
00:00:28,800 --> 00:00:31,680
Speaker 1: She's saying, she dances, she produces, she makes us laugh,

11
00:00:31,760 --> 00:00:34,800
Speaker 1: and not only that, she's conquering the hosting roles right

12
00:00:34,840 --> 00:00:37,640
Speaker 1: now in shows like Plato and Love Island.

13
00:00:37,840 --> 00:00:39,560
Speaker 3: Please welcome to the incredible Sarah Highland.

14
00:00:39,760 --> 00:00:42,720
Speaker 2: Hello, Hello, are And.

15
00:00:42,640 --> 00:00:45,839
Speaker 1: It wouldn't be a double date without a wonderful, amazing

16
00:00:45,920 --> 00:00:50,199
Speaker 1: husband joining us. Also today is Wells Adams, host of

17
00:00:50,360 --> 00:00:54,000
Speaker 1: Best and Doe, bartender on Bacher and Paradise. You already

18
00:00:54,000 --> 00:00:57,040
Speaker 1: know is your boy always looking slick, serving up the drinks.

19
00:00:57,320 --> 00:01:00,840
Speaker 1: He's a podcast host, he's a DJ and apparently a

20
00:01:00,920 --> 00:01:03,400
Speaker 1: really good cook. So you know, I can't wait to

21
00:01:03,440 --> 00:01:06,959
Speaker 1: dive into that. But welcome this fantastic human being, Wells Adams.

22
00:01:07,400 --> 00:01:09,920
Speaker 4: Thank you. We did a show together. We did Best

23
00:01:09,959 --> 00:01:10,600
Speaker 4: and Dough together.

24
00:01:10,760 --> 00:01:12,880
Speaker 1: Yes, that is how we got to know each other.

25
00:01:12,920 --> 00:01:14,600
Speaker 1: That was a really phenomenal experience.

26
00:01:14,640 --> 00:01:17,559
Speaker 4: And I can say this no shade to the other

27
00:01:17,720 --> 00:01:23,040
Speaker 4: guest judges, but Danielle and I had the most fun

28
00:01:23,080 --> 00:01:25,560
Speaker 4: when you were doing the episodes with us, and I

29
00:01:25,920 --> 00:01:28,039
Speaker 4: feel like you had a good time too, So much

30
00:01:28,040 --> 00:01:29,080
Speaker 4: fun doing those episodes.

31
00:01:29,120 --> 00:01:33,000
Speaker 1: It was honestly the most fun I've done a few shows,

32
00:01:33,040 --> 00:01:35,800
Speaker 1: and I felt the less, like the least amount of pressure. Yeah,

33
00:01:35,880 --> 00:01:37,640
Speaker 1: that's how Wells and I got to know each other.

34
00:01:38,000 --> 00:01:40,320
Speaker 1: And bridget Bridge. I had a funny story about becoming

35
00:01:40,360 --> 00:01:41,720
Speaker 1: a fan of your acting.

36
00:01:42,840 --> 00:01:45,040
Speaker 2: I love Law and Order SPO.

37
00:01:47,200 --> 00:01:48,520
Speaker 4: There's not a week that goes by that I don't

38
00:01:48,560 --> 00:01:52,480
Speaker 4: get tweeted about her being a loved.

39
00:01:51,160 --> 00:01:54,480
Speaker 2: Or it's great, it's great stuff.

40
00:01:54,520 --> 00:01:57,559
Speaker 5: Are you a fan of my episode from SPU when

41
00:01:57,720 --> 00:02:02,160
Speaker 5: I was an alleged sexual assault victim of my father's

42
00:02:02,280 --> 00:02:05,400
Speaker 5: or from when I was a straight up like a murderer.

43
00:02:05,880 --> 00:02:07,680
Speaker 2: Yeah, I was a murderer.

44
00:02:09,120 --> 00:02:09,440
Speaker 6: Yeah.

45
00:02:11,880 --> 00:02:16,760
Speaker 5: Medication I filmed that two weeks after I turned eighteen,

46
00:02:16,840 --> 00:02:18,560
Speaker 5: So it was my first job without having to have

47
00:02:18,600 --> 00:02:23,360
Speaker 5: a legal guardian on set aka Mi Madre, and so

48
00:02:23,720 --> 00:02:26,600
Speaker 5: I worked really, really hard, like they were even auditioning

49
00:02:26,720 --> 00:02:30,120
Speaker 5: girls out here in La. I actually met the girl

50
00:02:30,280 --> 00:02:33,400
Speaker 5: that it was down between me and her and she

51
00:02:33,560 --> 00:02:35,239
Speaker 5: was from LA and they were like, oh yeah, it's

52
00:02:35,240 --> 00:02:37,959
Speaker 5: like this younger blonde actress in LA is between the

53
00:02:38,000 --> 00:02:43,120
Speaker 5: two of you. And I was like, chit, Dakota Fanning,

54
00:02:43,200 --> 00:02:45,720
Speaker 5: isn't it Like I just knew. I just was like,

55
00:02:45,800 --> 00:02:47,760
Speaker 5: I'm not going to get this role. Of course, Dakota

56
00:02:47,800 --> 00:02:49,800
Speaker 5: Fanning is going to get it because she's so amazing

57
00:02:49,840 --> 00:02:52,800
Speaker 5: and so talented. I was so grateful that it wasn't

58
00:02:52,800 --> 00:02:54,720
Speaker 5: a code of Fanning because I ended up booking it

59
00:02:55,000 --> 00:02:57,280
Speaker 5: and it was so much fun. It was amazing.

60
00:02:57,440 --> 00:03:03,239
Speaker 4: You lost a lot of jobs, Dakota Fanning.

61
00:03:03,400 --> 00:03:07,280
Speaker 5: There's no beef there, only only just like inspiration of

62
00:03:07,320 --> 00:03:09,840
Speaker 5: looking up to her as an actress, even though she's

63
00:03:09,880 --> 00:03:11,840
Speaker 5: younger than me. I'm just I'm just jealous.

64
00:03:11,480 --> 00:03:13,840
Speaker 4: At how well you're looking up to her in terms

65
00:03:13,840 --> 00:03:14,400
Speaker 4: of eyeline.

66
00:03:14,639 --> 00:03:17,840
Speaker 5: Definitely an eyelight, I guarantee you. I'm I'm shorter than.

67
00:03:20,440 --> 00:03:20,600
Speaker 6: Well.

68
00:03:20,680 --> 00:03:24,040
Speaker 1: Shout out, Dakota Fanning. Apparently we dedicated the intro to

69
00:03:24,080 --> 00:03:24,880
Speaker 1: this episode to you.

70
00:03:25,840 --> 00:03:27,360
Speaker 3: There.

71
00:03:30,280 --> 00:03:31,920
Speaker 1: All right, well look let's just jump in. You know,

72
00:03:31,919 --> 00:03:33,880
Speaker 1: we don't want the food to get too cold. This

73
00:03:33,960 --> 00:03:37,040
Speaker 1: is flaky biscuit. Why don't you tell the listeners what

74
00:03:37,080 --> 00:03:39,440
Speaker 1: you had Bridge and I prepare for you today and

75
00:03:39,480 --> 00:03:41,800
Speaker 1: why this is a nostalgic meal for you as a couple.

76
00:03:42,200 --> 00:03:45,560
Speaker 4: Well, I had you guys do steak tacos.

77
00:03:45,920 --> 00:03:48,040
Speaker 1: Oh, steak and shrimp, and I am gonna have to

78
00:03:48,040 --> 00:03:50,880
Speaker 1: get up and get the shrimp whenever. Okay, it's you know,

79
00:03:51,000 --> 00:03:51,920
Speaker 1: shrimp is sensitive.

80
00:03:52,640 --> 00:03:58,480
Speaker 4: It's nostalgic to us. Because so when we first started dating,

81
00:03:59,400 --> 00:04:02,720
Speaker 4: I remember I would fly out from Nashville to Los

82
00:04:02,720 --> 00:04:08,840
Speaker 4: Angeles and I cooked for you and I made you.

83
00:04:09,400 --> 00:04:12,280
Speaker 4: I think I made you shrim tacos one night, and

84
00:04:12,320 --> 00:04:15,160
Speaker 4: then I think I made you like my famous yes

85
00:04:15,520 --> 00:04:20,360
Speaker 4: steak tacos. Yeah, skirt steak recipe tacos. And it's funny

86
00:04:20,480 --> 00:04:23,320
Speaker 4: because for whatever reason, their day, I was eating fruit

87
00:04:23,360 --> 00:04:25,080
Speaker 4: and I was like, Sarah, do you know what my

88
00:04:25,080 --> 00:04:28,880
Speaker 4: favorite fruit is? And she was like, no, what blueberries?

89
00:04:29,120 --> 00:04:31,640
Speaker 4: Which was close, which was number two. Then we got

90
00:04:31,640 --> 00:04:33,400
Speaker 4: into like did you know what my favorite fruit is?

91
00:04:33,440 --> 00:04:35,120
Speaker 4: And I was like, well, I think it's this, and

92
00:04:35,440 --> 00:04:37,200
Speaker 4: I was wrong, but I was close. I feel like

93
00:04:37,320 --> 00:04:41,440
Speaker 4: I went with raspberries, but it's really it's plums and anyways,

94
00:04:42,320 --> 00:04:45,240
Speaker 4: and then she then you asked, what is your favorite

95
00:04:45,360 --> 00:04:47,480
Speaker 4: meal ever? Death row meal?

96
00:04:47,720 --> 00:04:49,960
Speaker 5: Yes, like what's your last meal?

97
00:04:50,800 --> 00:04:56,440
Speaker 4: And then you said your tacos yeah, which was very honor.

98
00:04:58,080 --> 00:05:00,360
Speaker 2: That's our death row meal you just made.

99
00:05:01,360 --> 00:05:03,760
Speaker 3: Hey, I'm not trying to make it better than anyone else.

100
00:05:03,760 --> 00:05:07,360
Speaker 3: I just wanted to.

101
00:05:07,520 --> 00:05:08,880
Speaker 1: I want to bring you back to the time you

102
00:05:08,960 --> 00:05:11,120
Speaker 1: first had this together. So you had it, you flew

103
00:05:11,160 --> 00:05:11,840
Speaker 1: out from well.

104
00:05:11,920 --> 00:05:14,960
Speaker 5: Yeah, so I remember this very vividly because I remember

105
00:05:14,960 --> 00:05:15,960
Speaker 5: what music we were playing.

106
00:05:16,000 --> 00:05:16,880
Speaker 4: Oh wow, oh really?

107
00:05:17,000 --> 00:05:17,839
Speaker 5: Oh yeah.

108
00:05:17,880 --> 00:05:21,320
Speaker 4: It's funny because at the time our relationship was in secret,

109
00:05:21,400 --> 00:05:25,200
Speaker 4: like we didn't really set information, and she was also

110
00:05:25,200 --> 00:05:27,800
Speaker 4: going through some health issues with she just kind of

111
00:05:27,800 --> 00:05:29,400
Speaker 4: like got on the kidney transplant.

112
00:05:29,520 --> 00:05:31,880
Speaker 5: So I was I was in quarantine, so I couldn't

113
00:05:32,000 --> 00:05:36,400
Speaker 5: leave the house because my immune system was so so

114
00:05:36,400 --> 00:05:39,719
Speaker 5: so very low, so only like a certain number of

115
00:05:39,720 --> 00:05:42,000
Speaker 5: people could come visit me at home. I could only

116
00:05:42,080 --> 00:05:45,440
Speaker 5: leave to go to the doctors, which is what everybody

117
00:05:45,520 --> 00:05:47,360
Speaker 5: experienced in twenty twenty. And I was like, this is

118
00:05:47,400 --> 00:05:50,840
Speaker 5: a visit before everything is fine. I know how to

119
00:05:50,920 --> 00:05:53,440
Speaker 5: just like sit still at home and watch Netflix all day.

120
00:05:53,880 --> 00:05:56,280
Speaker 5: But so it's not like when we first started dating,

121
00:05:56,279 --> 00:05:58,640
Speaker 5: we could go out to restaurants and it's not like

122
00:05:58,720 --> 00:06:02,200
Speaker 5: we have a first date at a restaurant. Our first

123
00:06:02,240 --> 00:06:07,040
Speaker 5: like meal meal together was at my house in Studio City.

124
00:06:07,480 --> 00:06:10,279
Speaker 5: He came visited and made us shrimp tacos.

125
00:06:11,040 --> 00:06:13,920
Speaker 4: And it was funny because at the time we were

126
00:06:14,040 --> 00:06:17,040
Speaker 4: very cryptic with social media, like we were like dropping

127
00:06:17,160 --> 00:06:20,880
Speaker 4: crumbs that like both of us were in relationship picked on.

128
00:06:21,000 --> 00:06:22,720
Speaker 4: Some people picked up on it. But it was funny

129
00:06:22,720 --> 00:06:26,440
Speaker 4: because I lived in Nashville for twelve years and there

130
00:06:26,520 --> 00:06:28,039
Speaker 4: was a couple of years where I lived with my

131
00:06:28,160 --> 00:06:32,560
Speaker 4: sister and I was like the backup babysitter for her

132
00:06:32,600 --> 00:06:35,039
Speaker 4: and her kids. I lived in their basement and it

133
00:06:35,080 --> 00:06:36,640
Speaker 4: was like while I was like saving money to buy

134
00:06:36,640 --> 00:06:39,359
Speaker 4: my own house. And I remember we did like the

135
00:06:39,360 --> 00:06:42,880
Speaker 4: shrimp taco or the steak shrimp tacos, and yeah, my

136
00:06:42,920 --> 00:06:44,760
Speaker 4: sister texted me and she goes, you're not that slick.

137
00:06:44,800 --> 00:06:46,560
Speaker 4: I know what you're doing. You made your shrimp talk

138
00:06:46,600 --> 00:06:48,919
Speaker 4: because I used to make that for her family as well.

139
00:06:49,600 --> 00:06:51,320
Speaker 4: I remember her being like, you're not slick. I know

140
00:06:51,360 --> 00:06:53,640
Speaker 4: what's happening, because I think Sarah had posted something of

141
00:06:53,680 --> 00:06:57,520
Speaker 4: like this is what I mean tonight on stories or whatnot, like.

142
00:06:57,520 --> 00:07:02,599
Speaker 5: Hearts and stuff like so like Pepe loves stupid like loose.

143
00:07:02,960 --> 00:07:04,120
Speaker 4: But I'm not going to go.

144
00:07:08,080 --> 00:07:08,359
Speaker 6: Wow.

145
00:07:08,600 --> 00:07:10,320
Speaker 5: But it was a wonderful night.

146
00:07:10,480 --> 00:07:11,480
Speaker 2: He cooked for me.

147
00:07:11,520 --> 00:07:14,840
Speaker 5: I'd never had had a man cook for me before,

148
00:07:14,920 --> 00:07:18,520
Speaker 5: so it was like really special. And obviously I love

149
00:07:18,560 --> 00:07:21,680
Speaker 5: tacos and he was just so good at making them.

150
00:07:21,680 --> 00:07:25,200
Speaker 5: And Bourns was playing like Electric Love, like that album.

151
00:07:25,760 --> 00:07:27,600
Speaker 5: It was really nice and I loved it.

152
00:07:27,920 --> 00:07:30,080
Speaker 3: Wells Wells coming in on.

153
00:07:30,240 --> 00:07:32,160
Speaker 1: You know, I think the first meal we had together

154
00:07:32,280 --> 00:07:34,160
Speaker 1: I was I got lazy and just bought some from

155
00:07:34,160 --> 00:07:35,760
Speaker 1: Whole Foods that was pre made.

156
00:07:36,160 --> 00:07:40,240
Speaker 3: Wells out here coming in with the special. What wasn't

157
00:07:40,240 --> 00:07:41,360
Speaker 3: the first meal we had together.

158
00:07:41,720 --> 00:07:46,400
Speaker 2: I think it was a Whole Foods like reheat skillet of.

159
00:07:46,200 --> 00:07:49,400
Speaker 3: Like beef, green beans and mashed potato.

160
00:07:49,520 --> 00:07:52,360
Speaker 2: We were both very nervous, so we're just like we

161
00:07:52,360 --> 00:07:54,679
Speaker 2: were in Whole Foods, like palm sweaty, like what should

162
00:07:54,680 --> 00:07:55,000
Speaker 2: we make?

163
00:07:55,120 --> 00:07:59,600
Speaker 1: Like I don't know anyway, congrats to flying in and

164
00:07:59,640 --> 00:08:02,760
Speaker 1: making your famous tacos.

165
00:08:02,960 --> 00:08:05,520
Speaker 3: Like that's I'm like, why did I cook this?

166
00:08:05,600 --> 00:08:11,280
Speaker 1: I should have asked you because and what about the

167
00:08:11,680 --> 00:08:13,120
Speaker 1: appetizer that we're starting with.

168
00:08:13,200 --> 00:08:15,480
Speaker 4: So I think you asked me about this so long ago,

169
00:08:15,560 --> 00:08:18,640
Speaker 4: but so I think this is truffle risotto with caviar?

170
00:08:18,720 --> 00:08:19,880
Speaker 4: Am I am I right about that?

171
00:08:20,120 --> 00:08:20,640
Speaker 3: Yeah?

172
00:08:23,120 --> 00:08:28,360
Speaker 4: I wasn't really sure. So well, we're rich now, so

173
00:08:28,400 --> 00:08:46,319
Speaker 4: now it's funny. I come from a family that likes

174
00:08:46,360 --> 00:08:49,560
Speaker 4: to go out to fancy restaurants, like as before, like

175
00:08:49,600 --> 00:08:52,520
Speaker 4: the foodie thing was a thing, like every once in

176
00:08:52,520 --> 00:08:54,160
Speaker 4: a while, go to a place that, like it's really

177
00:08:54,200 --> 00:08:58,120
Speaker 4: really expensive and really really nice and decadent. And Sarah

178
00:08:58,240 --> 00:08:58,559
Speaker 4: is not.

179
00:08:59,160 --> 00:09:01,440
Speaker 5: That she didn't I didn't grow up like that.

180
00:09:01,559 --> 00:09:04,240
Speaker 4: No, she grew up in Manhattan. You know, she was

181
00:09:04,280 --> 00:09:07,199
Speaker 4: working as a kid. And I have the utmost respect

182
00:09:07,280 --> 00:09:11,040
Speaker 4: for your upbringing in comparison to mind. But I remember

183
00:09:11,040 --> 00:09:12,800
Speaker 4: being like, I need to take you to a very

184
00:09:12,880 --> 00:09:15,199
Speaker 4: nice place one time, and I need you to experience

185
00:09:15,280 --> 00:09:19,440
Speaker 4: what like a foody thing is. So we went. There's

186
00:09:19,440 --> 00:09:23,320
Speaker 4: a place called Satrine, which is in Santa Monica, and

187
00:09:23,360 --> 00:09:26,960
Speaker 4: they have truffle risotto there. And first of all, this

188
00:09:27,000 --> 00:09:30,560
Speaker 4: girl loves risotta like it's her thing. And they have

189
00:09:30,679 --> 00:09:34,160
Speaker 4: this truffle rosotta there that is fire, and I just

190
00:09:34,200 --> 00:09:36,880
Speaker 4: remember her after that like taking her to like a

191
00:09:37,000 --> 00:09:39,480
Speaker 4: very nice, expensive meal and it was a Valentine's Day

192
00:09:39,480 --> 00:09:43,480
Speaker 4: I think or anniversary and she was like, oh, so

193
00:09:43,640 --> 00:09:45,880
Speaker 4: this is what foody stuff is. And I was like yeah,

194
00:09:45,920 --> 00:09:48,560
Speaker 4: and she was like, oh, I like it.

195
00:09:49,520 --> 00:09:51,120
Speaker 5: If it tastes like this, I love it.

196
00:09:52,679 --> 00:09:57,960
Speaker 4: I'm just a greasy pizza. And then the caviar thing

197
00:09:58,040 --> 00:10:02,720
Speaker 4: is really funny because as in my family, for every

198
00:10:02,760 --> 00:10:06,560
Speaker 4: like big event, whether it's like Christmas Eve or New

199
00:10:06,640 --> 00:10:09,640
Speaker 4: Year's Eve or like someone's birthday, my mom would always

200
00:10:09,679 --> 00:10:12,240
Speaker 4: go get like a little thing of caviar and like

201
00:10:12,320 --> 00:10:15,400
Speaker 4: everyone would share it and she wouldn't really eat it.

202
00:10:15,440 --> 00:10:16,720
Speaker 4: For a while.

203
00:10:16,640 --> 00:10:19,720
Speaker 5: I had never had it, never even like really crossed

204
00:10:19,840 --> 00:10:24,120
Speaker 5: my mind as well. So on our honeymoon he finally

205
00:10:24,160 --> 00:10:24,720
Speaker 5: convinced me.

206
00:10:24,960 --> 00:10:25,160
Speaker 6: Yeah.

207
00:10:25,160 --> 00:10:28,000
Speaker 4: We were in big sir and probably a few bottles

208
00:10:28,040 --> 00:10:32,040
Speaker 4: of wine in and it was time I ordered it

209
00:10:32,440 --> 00:10:34,520
Speaker 4: because I was like, this is my honeymoon, this is

210
00:10:34,520 --> 00:10:37,680
Speaker 4: a big event. I'm gonna get caviar. And she was like, Okay,

211
00:10:37,720 --> 00:10:40,840
Speaker 4: I'll try it. Caviar. Either you like it or like

212
00:10:40,920 --> 00:10:45,360
Speaker 4: it's gross, totally understand that it's like oysters, or but

213
00:10:45,440 --> 00:10:47,160
Speaker 4: I have video of it to be like maybe if

214
00:10:47,200 --> 00:10:49,480
Speaker 4: she likes it, like this will be interesting. Yeah, and

215
00:10:49,600 --> 00:10:51,680
Speaker 4: she tried it and no, I'm obsessed.

216
00:10:51,840 --> 00:10:56,480
Speaker 5: It's a problem. Yeah, it's an issue because once I

217
00:10:56,559 --> 00:10:58,280
Speaker 5: like something, I lean in roll heavy.

218
00:10:58,360 --> 00:11:00,480
Speaker 4: It's expensive, like how much you get. But it is

219
00:11:00,520 --> 00:11:03,360
Speaker 4: such a fun thing for like a dinner party, to

220
00:11:03,400 --> 00:11:05,640
Speaker 4: like sit around and have like a little bit. I

221
00:11:05,640 --> 00:11:08,559
Speaker 4: think it really like raises like the fun level of

222
00:11:08,640 --> 00:11:11,320
Speaker 4: that night, like, oh, we're having a little bit of cavea.

223
00:11:11,679 --> 00:11:16,839
Speaker 5: It's like a drug like scrambled eggs and mimosas, which

224
00:11:17,120 --> 00:11:20,360
Speaker 5: if you're doing that, it's like, Okay, great Christmas morning breakfast.

225
00:11:20,400 --> 00:11:23,040
Speaker 5: But you throw some cavea and it's like, oh, this

226
00:11:23,120 --> 00:11:26,240
Speaker 5: is a fancy she elevated, exactly.

227
00:11:26,440 --> 00:11:29,200
Speaker 3: E them eggs are different now, yeah, exactly.

228
00:11:29,240 --> 00:11:33,520
Speaker 1: So was I supposed to put the caviar on the risotto?

229
00:11:36,000 --> 00:11:38,360
Speaker 2: He said, sure, I'm gonna.

230
00:11:38,400 --> 00:11:40,000
Speaker 3: I'm gonna explain to you guys what I did.

231
00:11:40,360 --> 00:11:42,480
Speaker 1: I'll explain this, we'll eat it, and then you'll give

232
00:11:42,520 --> 00:11:45,320
Speaker 1: me your honest you'll tell me like where that brings

233
00:11:45,360 --> 00:11:50,440
Speaker 1: you to. Your boy doesn't make very often. I'm also Hispanic,

234
00:11:50,520 --> 00:11:53,960
Speaker 1: so we cooked rice differently in itals. But I do

235
00:11:54,040 --> 00:11:58,000
Speaker 1: love Risota, so, you know, typical white wine. I did

236
00:11:58,000 --> 00:12:00,960
Speaker 1: some chicken sock or boreo rice. You know, I followed

237
00:12:00,960 --> 00:12:03,000
Speaker 1: the playbook here, right, I tried to you know what

238
00:12:03,000 --> 00:12:06,480
Speaker 1: I'm saying, and then finished off with some I don't

239
00:12:06,520 --> 00:12:08,199
Speaker 1: know what kind of truffle is from Whole Foods.

240
00:12:08,480 --> 00:12:10,520
Speaker 3: And then Bridget's friends caviar.

241
00:12:10,760 --> 00:12:14,880
Speaker 2: Yeah, it's a woman owned business called Caviar Selects, and

242
00:12:14,920 --> 00:12:18,199
Speaker 2: they were kind enough to share some caviar with us,

243
00:12:18,200 --> 00:12:20,400
Speaker 2: but really great stuff. She shipped it from New York.

244
00:12:20,440 --> 00:12:23,000
Speaker 2: They're based in New York, but they get it worldwide

245
00:12:23,040 --> 00:12:23,920
Speaker 2: and USA based.

246
00:12:24,200 --> 00:12:28,000
Speaker 5: Sponsored just wanted we love female owned.

247
00:12:30,000 --> 00:12:33,560
Speaker 2: Yeah. Her name is Sarah. She's she's amazing Sarah.

248
00:12:34,080 --> 00:12:34,520
Speaker 3: So digging.

249
00:12:34,760 --> 00:12:39,560
Speaker 1: I mean, I'm I'm fucking terrified.

250
00:12:39,840 --> 00:12:43,560
Speaker 2: Why it's fine, It's good, it's great.

251
00:12:45,840 --> 00:12:48,920
Speaker 4: Caviar is very good job Sharah.

252
00:12:49,880 --> 00:12:51,680
Speaker 5: For a second, I was like, what, Oh.

253
00:12:51,600 --> 00:12:53,719
Speaker 4: Yeah, the other Sarah is delicious.

254
00:12:54,559 --> 00:12:58,920
Speaker 1: Okay, okay, okay, the eyes don't lie.

255
00:13:01,000 --> 00:13:02,559
Speaker 3: Wait what you think about their face and the eyes?

256
00:13:02,600 --> 00:13:04,880
Speaker 2: You know, I can't speak to their nostalgia, but I

257
00:13:04,880 --> 00:13:08,320
Speaker 2: can speak to how delicious this is. It's very very good.

258
00:13:08,320 --> 00:13:13,720
Speaker 4: But also if you're combining truffles and and you fuck

259
00:13:13,800 --> 00:13:14,120
Speaker 4: it up.

260
00:13:16,120 --> 00:13:18,400
Speaker 1: So y'all want to know a secret. Yeah, I made

261
00:13:18,440 --> 00:13:19,680
Speaker 1: this risotta in the microwave.

262
00:13:19,840 --> 00:13:20,960
Speaker 5: Really, that's amazing.

263
00:13:22,240 --> 00:13:26,120
Speaker 1: I love fifteen minutes without stirring in Again, not sponsored,

264
00:13:26,160 --> 00:13:29,240
Speaker 1: but real. I did a show with David Chang, the chef,

265
00:13:29,840 --> 00:13:32,640
Speaker 1: and he does he works with any Day cookware and

266
00:13:32,800 --> 00:13:34,520
Speaker 1: it's like microwavable.

267
00:13:33,880 --> 00:13:36,040
Speaker 5: Cookwar so it's like it is a bitch to make.

268
00:13:36,480 --> 00:13:38,240
Speaker 1: Yeah, so I kind of I google like can the

269
00:13:38,320 --> 00:13:41,040
Speaker 1: any Day make risotta? And there there was like a process,

270
00:13:41,120 --> 00:13:43,480
Speaker 1: So I will say, like shout out to that because

271
00:13:43,480 --> 00:13:45,920
Speaker 1: that's I just put everything in the any Day and

272
00:13:46,120 --> 00:13:48,400
Speaker 1: microwave did it and it came out pretty good.

273
00:13:48,400 --> 00:13:50,200
Speaker 3: Well the first one. I the first one I overcooked.

274
00:13:50,200 --> 00:13:50,840
Speaker 3: I had to redo it.

275
00:13:50,880 --> 00:13:53,319
Speaker 1: So I did overcook the first one and it came

276
00:13:53,320 --> 00:13:54,680
Speaker 1: out hard, and I was I can't be bringing this

277
00:13:54,720 --> 00:14:00,800
Speaker 1: hard risotta to know the lands Adams House, And yeah,

278
00:14:00,800 --> 00:14:01,920
Speaker 1: I mean microwave.

279
00:14:02,000 --> 00:14:06,240
Speaker 5: So it's not just not easy to cook the rice.

280
00:14:06,360 --> 00:14:10,040
Speaker 5: But I will say about this, what I think is

281
00:14:10,080 --> 00:14:13,720
Speaker 5: amazing is that it's not too salty, but there's like

282
00:14:13,880 --> 00:14:16,839
Speaker 5: just enough salt in it. There have been a lot

283
00:14:16,840 --> 00:14:19,880
Speaker 5: of times where I've had risotta. Actually, there was this

284
00:14:19,960 --> 00:14:22,320
Speaker 5: place that I was obsessed with this risotto and they

285
00:14:22,320 --> 00:14:25,920
Speaker 5: had like the salmon risotta in Hendersonville, North Carolina. I

286
00:14:25,960 --> 00:14:29,280
Speaker 5: would have this risutta always. It was just like regular

287
00:14:29,360 --> 00:14:34,160
Speaker 5: mushrom risota with a salmon pullet on top. But sometimes

288
00:14:34,160 --> 00:14:37,040
Speaker 5: it wasn't salty enough and I would like just add

289
00:14:37,080 --> 00:14:40,000
Speaker 5: salt into it myself. But then sometimes it could be

290
00:14:40,080 --> 00:14:44,240
Speaker 5: too salty, which you can't really do anything about other

291
00:14:44,280 --> 00:14:47,480
Speaker 5: than drink a copious amount of water. But I think

292
00:14:47,520 --> 00:14:49,960
Speaker 5: what you've done amazing here is to be able to

293
00:14:50,840 --> 00:14:53,960
Speaker 5: have those profiles of all of the things that you

294
00:14:54,040 --> 00:14:56,240
Speaker 5: added to it, whether it was in a microwave or not,

295
00:14:56,800 --> 00:14:57,960
Speaker 5: and have it be delicious.

296
00:14:58,000 --> 00:14:59,400
Speaker 3: In that sense, you should be.

297
00:14:59,360 --> 00:15:02,720
Speaker 1: Like a food critique commentator or something like that. Because

298
00:15:02,720 --> 00:15:06,120
Speaker 1: that was pretty nice. So why don't you guys dig

299
00:15:06,120 --> 00:15:08,360
Speaker 1: into the tacos. I'll go get the shrimp and then

300
00:15:08,400 --> 00:15:09,120
Speaker 1: we'll go from there.

301
00:15:09,240 --> 00:15:12,720
Speaker 3: So entertain them. Yeah, I'm gonna get them scramps.

302
00:15:12,840 --> 00:15:16,240
Speaker 2: Get them scramps. Did you know there's a truffle mafia.

303
00:15:16,840 --> 00:15:19,480
Speaker 2: It's kind of hard to get truffles nowadays with climate

304
00:15:19,560 --> 00:15:23,440
Speaker 2: change and everything going on, so they have like truffle.

305
00:15:23,040 --> 00:15:26,560
Speaker 5: Gangs, okay, protecting their land.

306
00:15:26,520 --> 00:15:30,400
Speaker 2: And truffles reproduced by being eaten by animals, which is

307
00:15:30,480 --> 00:15:33,160
Speaker 2: kind of a weird science fact that I didn't know.

308
00:15:33,360 --> 00:15:37,840
Speaker 2: And they're not plants, they're underground mushrooms in the Fungi Kingdom.

309
00:15:38,160 --> 00:15:39,680
Speaker 5: They reproduced by being eaten.

310
00:15:41,240 --> 00:15:43,720
Speaker 2: Spread yep, exactly.

311
00:15:43,800 --> 00:15:47,560
Speaker 5: That's amazing. That's a beautiful way of thinking about it.

312
00:15:47,640 --> 00:15:51,200
Speaker 5: Of like the way to create life is by dying.

313
00:15:52,560 --> 00:15:55,040
Speaker 1: Yes, damn, that was the real thing. To come back

314
00:15:55,080 --> 00:16:00,920
Speaker 1: to what we're all talking about. So we're moving on

315
00:16:01,000 --> 00:16:03,800
Speaker 1: to the taco phase. So here's where it gets real.

316
00:16:04,320 --> 00:16:06,160
Speaker 1: He goes, this is this is, this is the special

317
00:16:06,200 --> 00:16:08,720
Speaker 1: Wells meal. I want y'all to get real withted. What

318
00:16:08,760 --> 00:16:10,920
Speaker 1: are you smelling? What are you seeing? What are you tasting?

319
00:16:10,920 --> 00:16:11,600
Speaker 1: What are you touching?

320
00:16:11,760 --> 00:16:14,600
Speaker 5: Well, when I walked in from my call and you

321
00:16:14,640 --> 00:16:18,720
Speaker 5: guys had already started doing everything, that may smell so good.

322
00:16:19,360 --> 00:16:24,080
Speaker 1: Okay, So the tortilla is actually a single origin heirloom

323
00:16:24,160 --> 00:16:25,520
Speaker 1: corn varietal masa.

324
00:16:25,920 --> 00:16:28,480
Speaker 3: I will just go ahead and flex on just case.

325
00:16:28,520 --> 00:16:29,360
Speaker 4: So what does that mean.

326
00:16:29,680 --> 00:16:33,080
Speaker 1: It's essentially as close to the Earth as you can

327
00:16:33,120 --> 00:16:36,000
Speaker 1: get in terms of how something's processed like, oh amazing. No,

328
00:16:36,120 --> 00:16:38,440
Speaker 1: it's like coffee they talk about like single origin all

329
00:16:38,440 --> 00:16:40,400
Speaker 1: that it's not blended with anything.

330
00:16:40,440 --> 00:16:41,960
Speaker 3: It's it's corn from.

331
00:16:41,720 --> 00:16:45,000
Speaker 1: A specific location, like you can trace back where it

332
00:16:45,040 --> 00:16:48,120
Speaker 1: came from. Not sponsored, but it is macienda. You can

333
00:16:48,120 --> 00:16:50,400
Speaker 1: find it at whole foods that you normally use to

334
00:16:50,400 --> 00:16:52,600
Speaker 1: make tortillas. No, man, I grew up using my seca

335
00:16:52,800 --> 00:16:55,360
Speaker 1: like most Hispanic people. My seca is like I mean,

336
00:16:55,600 --> 00:16:58,600
Speaker 1: most Hispanic households have my seca in their pantry.

337
00:16:58,920 --> 00:17:00,000
Speaker 4: Do you have a tortilla press?

338
00:17:00,360 --> 00:17:01,000
Speaker 6: I did use it.

339
00:17:01,520 --> 00:17:04,080
Speaker 3: Press. Talk to me, let's do Sarah.

340
00:17:04,520 --> 00:17:07,240
Speaker 5: I'm still I'm I'm like a meticulous assembly.

341
00:17:07,440 --> 00:17:12,040
Speaker 1: I want the real the real deal assessment well of

342
00:17:12,080 --> 00:17:12,639
Speaker 1: this meal.

343
00:17:12,920 --> 00:17:13,320
Speaker 3: I had the.

344
00:17:13,240 --> 00:17:15,200
Speaker 4: Preface to this, and you can hear it my voice.

345
00:17:15,359 --> 00:17:18,520
Speaker 4: I've had allergies for the past like three days, so

346
00:17:18,560 --> 00:17:21,760
Speaker 4: my nose a little stuffed up, so I'm not smelling

347
00:17:21,800 --> 00:17:24,000
Speaker 4: as much as I normally would. Got it what I

348
00:17:24,000 --> 00:17:27,040
Speaker 4: would say. The presentation of it is beautiful. Is it

349
00:17:27,119 --> 00:17:30,879
Speaker 4: skirt or is it skirtktak? Skirt yes, which I feel

350
00:17:30,960 --> 00:17:35,080
Speaker 4: very strongly about. Skirt steak is better than what's.

351
00:17:34,880 --> 00:17:35,360
Speaker 3: The other cut.

352
00:17:35,400 --> 00:17:38,400
Speaker 4: It's very similar, correct skirt's got a lot more fat

353
00:17:38,400 --> 00:17:42,280
Speaker 4: in it, which I really enjoy. It's cooked beautifully and

354
00:17:42,600 --> 00:17:45,240
Speaker 4: I do love the like Malden salt or kind of

355
00:17:45,320 --> 00:17:50,000
Speaker 4: thick flaky salt over top of it, and it is delicious.

356
00:17:50,440 --> 00:17:52,000
Speaker 4: Did you make this this pico?

357
00:17:52,200 --> 00:17:52,240
Speaker 5: So?

358
00:17:53,000 --> 00:17:56,200
Speaker 3: Why don't you talk to them about what that salsa is?

359
00:17:56,640 --> 00:17:56,760
Speaker 6: Oh?

360
00:17:56,840 --> 00:17:59,919
Speaker 2: Yeah, I looked up the Hallmark channel and apparently you

361
00:18:00,080 --> 00:18:02,640
Speaker 2: have a recipe about salsta.

362
00:18:02,440 --> 00:18:07,840
Speaker 4: And that it was my mom's flight steak recipe in there.

363
00:18:07,880 --> 00:18:08,920
Speaker 2: Yeah, is that what you did?

364
00:18:09,080 --> 00:18:09,520
Speaker 3: I tried?

365
00:18:09,600 --> 00:18:12,880
Speaker 4: So did you do like the soy sauce and ginger

366
00:18:13,040 --> 00:18:17,159
Speaker 4: and some a sweetener of some sort of. It's so

367
00:18:17,359 --> 00:18:19,320
Speaker 4: funny because when I smelled it in my noses a

368
00:18:19,320 --> 00:18:21,600
Speaker 4: little stuff and I was like, that suppost a lot.

369
00:18:21,640 --> 00:18:23,600
Speaker 4: And then I was like, do all flanks states just

370
00:18:23,640 --> 00:18:25,119
Speaker 4: smell like this? And I just thought that that's what

371
00:18:25,119 --> 00:18:26,280
Speaker 4: while I rescue smelled like.

372
00:18:28,160 --> 00:18:28,560
Speaker 3: You did it?

373
00:18:28,600 --> 00:18:32,280
Speaker 2: Man? So so Brian always likes to go rogue when

374
00:18:32,320 --> 00:18:33,480
Speaker 2: we do these recipes.

375
00:18:33,520 --> 00:18:36,280
Speaker 3: I love going rogue and I love that about him.

376
00:18:36,400 --> 00:18:36,639
Speaker 3: I do.

377
00:18:36,760 --> 00:18:38,879
Speaker 2: I love a man that goes rogue, and just like,

378
00:18:38,920 --> 00:18:42,160
Speaker 2: we're going to do this not too rogue, but I'm

379
00:18:42,200 --> 00:18:43,959
Speaker 2: like well, you know, let's try to get it right

380
00:18:43,960 --> 00:18:47,080
Speaker 2: if we're going to get the proof effect going.

381
00:18:47,280 --> 00:18:49,280
Speaker 1: I was going to actually go rogue and do like

382
00:18:49,359 --> 00:18:52,920
Speaker 1: sass On, like more of a how a Hunduram person

383
00:18:52,960 --> 00:18:54,720
Speaker 1: would do the meat and it would probably be really good.

384
00:18:54,880 --> 00:18:56,520
Speaker 3: But she's like, no, like, check this marinade. Now. I

385
00:18:56,600 --> 00:18:59,720
Speaker 3: was like, soy sauce, soy sauce. I was like, let's

386
00:18:59,720 --> 00:19:00,040
Speaker 3: do it.

387
00:19:00,040 --> 00:19:02,399
Speaker 1: It has some honey, it has some ginger in the fridge,

388
00:19:02,400 --> 00:19:05,160
Speaker 1: has some garlic crushed. There might have been something else

389
00:19:05,200 --> 00:19:07,360
Speaker 1: in there, maybe a little black pepper. And I let

390
00:19:07,400 --> 00:19:09,640
Speaker 1: that sit for probably five hours in the fridge.

391
00:19:09,800 --> 00:19:12,520
Speaker 4: Oh yeah, I did a home and garden. Yeah, it's

392
00:19:12,600 --> 00:19:16,399
Speaker 4: right with Cameron and it was so funny. That was

393
00:19:16,440 --> 00:19:18,880
Speaker 4: a while ago. And I will say this, that marinate

394
00:19:19,000 --> 00:19:22,080
Speaker 4: is fire. It is super it's so good, Like it's

395
00:19:22,200 --> 00:19:24,640
Speaker 4: very very simple, and it's also really good. We grew

396
00:19:24,720 --> 00:19:29,240
Speaker 4: up duck hunting. It's really really good on a duck breast,

397
00:19:29,440 --> 00:19:32,520
Speaker 4: a really red meat. But yeah, this is it's so

398
00:19:32,800 --> 00:19:35,080
Speaker 4: I was. I knew when I smelled it. I was like, man,

399
00:19:35,080 --> 00:19:37,200
Speaker 4: that's so weird. I smelled so much like.

400
00:19:38,000 --> 00:19:39,760
Speaker 5: I literally came out of the office I was like, oh,

401
00:19:39,760 --> 00:19:40,480
Speaker 5: that sounds good.

402
00:19:42,920 --> 00:19:45,480
Speaker 1: And so the salsa as well. I think it's your

403
00:19:45,600 --> 00:19:49,760
Speaker 1: your idea. It's the canned tomatoes with chi lists and

404
00:19:49,840 --> 00:19:55,720
Speaker 1: if one jalapeno dice, garlic, celantro, a fourth of an onion,

405
00:19:56,080 --> 00:19:56,520
Speaker 1: what else?

406
00:19:56,760 --> 00:19:58,400
Speaker 3: Anyway, what do you think? I mean? Does it look

407
00:19:58,440 --> 00:19:59,600
Speaker 3: like what you make when you make it?

408
00:19:59,720 --> 00:20:02,479
Speaker 4: Or yeah, it's well, it's very good, it's very fresh.

409
00:20:02,600 --> 00:20:02,879
Speaker 3: Okay.

410
00:20:03,280 --> 00:20:04,879
Speaker 4: That's one thing that you need when it comes to

411
00:20:05,040 --> 00:20:08,200
Speaker 4: your pico or your salsa, is it needs to seem

412
00:20:08,240 --> 00:20:10,040
Speaker 4: really really bright and fresh, which it does.

413
00:20:11,480 --> 00:20:14,679
Speaker 1: Kind of crumbled a little bit under pressure that I

414
00:20:14,720 --> 00:20:18,399
Speaker 1: don't know why. It's a deliciousta, but it crumbled under pressure.

415
00:20:18,760 --> 00:20:20,960
Speaker 1: Maybe it was the juice from the steak sitting there

416
00:20:21,000 --> 00:20:21,520
Speaker 1: that kind.

417
00:20:21,359 --> 00:20:23,280
Speaker 5: Of yeah, maybe it was that it did it on

418
00:20:23,320 --> 00:20:24,760
Speaker 5: the on the shrimp as well.

419
00:20:25,000 --> 00:20:27,560
Speaker 1: Oh you had the shrimp already. Oh yeah, oh so

420
00:20:27,720 --> 00:20:31,239
Speaker 1: I will tell you. I'm allergic to shellfish. Is so

421
00:20:31,280 --> 00:20:32,480
Speaker 1: bridget prepared the shrimp.

422
00:20:32,720 --> 00:20:33,280
Speaker 3: I can be wrong.

423
00:20:33,960 --> 00:20:34,640
Speaker 2: I'm not a chef.

424
00:20:35,560 --> 00:20:36,640
Speaker 3: What did you do to make the shrimp?

425
00:20:37,000 --> 00:20:40,639
Speaker 2: Oh gosh, I don't know. I did orange lemon.

426
00:20:42,880 --> 00:20:48,159
Speaker 3: That's its orange. Soason is season salt basically maybe a

427
00:20:48,200 --> 00:20:50,760
Speaker 3: little msg. I mean, you know, but that's that that's.

428
00:20:50,640 --> 00:20:51,320
Speaker 2: That is wrong.

429
00:20:52,880 --> 00:20:53,240
Speaker 6: All right.

430
00:20:53,359 --> 00:20:56,520
Speaker 1: So we've got Wells eating this is it's almost like commentary,

431
00:20:56,680 --> 00:20:57,840
Speaker 1: like sports commentary.

432
00:20:58,440 --> 00:21:02,200
Speaker 3: Wells goes in for a back bite. He went from

433
00:21:02,200 --> 00:21:02,600
Speaker 3: the front.

434
00:21:03,080 --> 00:21:08,440
Speaker 1: He's assessing something and there's delicious was in progress.

435
00:21:08,640 --> 00:21:08,840
Speaker 6: You know.

436
00:21:08,840 --> 00:21:13,520
Speaker 4: I like about drip tacos. I feel less guilty eating

437
00:21:13,560 --> 00:21:15,280
Speaker 4: them because I feel like they're healthier.

438
00:21:16,280 --> 00:21:20,959
Speaker 5: I also love cows, Yeah, you do, like when they're alive.

439
00:21:21,119 --> 00:21:22,880
Speaker 4: Oh you also like them when they're dead.

440
00:21:23,600 --> 00:21:28,560
Speaker 5: I do love steak tacos and cheeseburgers. But yeah, my

441
00:21:28,680 --> 00:21:32,080
Speaker 5: family lived in upstate New York, across the dirt road

442
00:21:32,080 --> 00:21:34,919
Speaker 5: from a dairy farm. So like when I would go

443
00:21:35,040 --> 00:21:37,919
Speaker 5: visit my grandma and my aunts and uncles, like, I

444
00:21:37,920 --> 00:21:40,400
Speaker 5: would just like cuddle with cows.

445
00:21:40,000 --> 00:21:41,719
Speaker 2: All the time. That's so funny.

446
00:21:41,800 --> 00:21:44,600
Speaker 5: I didn't eat beef until I was like thirteen years old,

447
00:21:44,640 --> 00:21:46,960
Speaker 5: I think. And my first piece of beef that I

448
00:21:47,119 --> 00:21:49,800
Speaker 5: ate was in an out burger because my friends convinced

449
00:21:49,840 --> 00:21:52,000
Speaker 5: me to have one because I was out here in

450
00:21:52,119 --> 00:21:55,159
Speaker 5: LA visiting. So like, it's really hard for me to

451
00:21:56,000 --> 00:21:58,760
Speaker 5: like beef, but I do, well, he's got me a

452
00:21:58,840 --> 00:22:01,720
Speaker 5: sweater for Christmas, says, I'm a slept for a cheeseburger,

453
00:22:01,760 --> 00:22:03,000
Speaker 5: So I mean it.

454
00:22:03,160 --> 00:22:05,679
Speaker 2: That's so funny. I actually grew up. I grew up

455
00:22:05,720 --> 00:22:07,639
Speaker 2: in Long Island, but my grandma had a house upstate,

456
00:22:07,640 --> 00:22:10,400
Speaker 2: New York too, and she lived across the street from

457
00:22:10,480 --> 00:22:14,720
Speaker 2: a dairy farm as well, So I grew up milking cows,

458
00:22:14,840 --> 00:22:18,640
Speaker 2: oh my god, machines and like. We had a barn

459
00:22:18,720 --> 00:22:20,840
Speaker 2: cat that we took named Harry, who was a little

460
00:22:20,880 --> 00:22:22,680
Speaker 2: like inbred. But we still love.

461
00:22:22,640 --> 00:22:25,600
Speaker 5: All those All these barncats are though, Like legit, all

462
00:22:25,640 --> 00:22:28,159
Speaker 5: those barncats are. They all sleep with their like brothers

463
00:22:28,200 --> 00:22:33,159
Speaker 5: and sisters and everything. As long as my arcan, it

464
00:22:33,200 --> 00:22:33,800
Speaker 5: doesn't matter.

465
00:22:34,000 --> 00:22:39,080
Speaker 3: Yeah, don't go anywhere.

466
00:22:39,240 --> 00:22:51,560
Speaker 1: We'll be right back after this. Welcome back to Flaky Biscuit.

467
00:22:56,040 --> 00:22:59,560
Speaker 1: Our listeners love to know, point blank yes or no.

468
00:23:00,520 --> 00:23:01,960
Speaker 3: Did I bring you back.

469
00:23:01,840 --> 00:23:04,520
Speaker 1: To the moments you remember when you first started dating,

470
00:23:04,520 --> 00:23:05,880
Speaker 1: when you first started eating caviar?

471
00:23:06,840 --> 00:23:08,800
Speaker 3: Where did you go? Did I bring you guys back?

472
00:23:11,720 --> 00:23:12,760
Speaker 5: That steak brought me back.

473
00:23:12,800 --> 00:23:16,359
Speaker 4: Yeah, you did a really good job of the steak.

474
00:23:16,680 --> 00:23:20,440
Speaker 5: I will say this. Everything was absolutely delicious. The truffles

475
00:23:20,440 --> 00:23:25,840
Speaker 5: brought me back to citrine my first foodie experience with you.

476
00:23:26,760 --> 00:23:30,879
Speaker 5: Same with the caveaar you lost your hat, No, we

477
00:23:30,960 --> 00:23:34,320
Speaker 5: lost my hat later on. Yeah, yeah, Karmen got me

478
00:23:34,359 --> 00:23:36,760
Speaker 5: that hat. I really love that hat. No, the meat

479
00:23:37,080 --> 00:23:40,760
Speaker 5: really brought me back, and it continues to bring me

480
00:23:40,800 --> 00:23:42,560
Speaker 5: back because you cook that all the time.

481
00:23:42,600 --> 00:23:44,639
Speaker 4: For us, it's a once a week thing. We do

482
00:23:44,720 --> 00:23:48,399
Speaker 4: a thing called Challenge Wednesday. We're big fans of the

483
00:23:48,840 --> 00:23:53,040
Speaker 4: MTV hit show The Challenge, The Challenge.

484
00:23:52,520 --> 00:23:54,399
Speaker 5: So it's like we watched the Challenge. We do a

485
00:23:54,440 --> 00:23:56,600
Speaker 5: taco challenge. I always eat more tacos than he does.

486
00:23:57,000 --> 00:23:59,960
Speaker 5: And yeah, it's Wednesday, and it's Wednesday.

487
00:24:00,119 --> 00:24:01,760
Speaker 4: The Challenge is on right now. But they're coming back.

488
00:24:01,760 --> 00:24:04,240
Speaker 4: I saw Johnny Bananas posted something recently that they're coming.

489
00:24:04,400 --> 00:24:05,919
Speaker 4: Don't worry, there's another challenge coming up.

490
00:24:05,960 --> 00:24:09,600
Speaker 2: But Johnny Banana like hurt my brain.

491
00:24:09,920 --> 00:24:13,480
Speaker 4: Yeah, I don't worry beat him on a cooking show.

492
00:24:13,480 --> 00:24:13,920
Speaker 3: Who wants?

493
00:24:13,920 --> 00:24:18,960
Speaker 4: So it's fine called worse in America, But so I

494
00:24:19,040 --> 00:24:22,960
Speaker 4: make There was a solid three months of this past

495
00:24:23,040 --> 00:24:25,800
Speaker 4: year where I made this every Wednesday.

496
00:24:26,200 --> 00:24:30,960
Speaker 5: I will say the only thing missing is dice by onions.

497
00:24:31,880 --> 00:24:34,200
Speaker 3: I told you I told.

498
00:24:33,880 --> 00:24:40,399
Speaker 5: You like really really like brutally honest where it's like nipkicky,

499
00:24:40,560 --> 00:24:42,000
Speaker 5: because it's absolutely delicious.

500
00:24:42,040 --> 00:24:43,960
Speaker 4: Your craft shredded cheese.

501
00:24:44,320 --> 00:24:47,159
Speaker 5: Non craft Sargento Sargento.

502
00:24:46,680 --> 00:24:51,359
Speaker 3: For man, I saw that today, I begetting something. We

503
00:24:51,480 --> 00:24:52,520
Speaker 3: left the house just now.

504
00:24:52,560 --> 00:24:54,119
Speaker 1: I was like, okay, we got I know, he said

505
00:24:54,160 --> 00:24:56,560
Speaker 1: something about cheese, so I was like, let's just stop

506
00:24:56,600 --> 00:24:58,880
Speaker 1: and get like a simple vanilla Mexican.

507
00:24:59,080 --> 00:24:59,879
Speaker 2: This is delicious.

508
00:25:00,320 --> 00:25:03,359
Speaker 3: But man, when I I love the Stargento, I.

509
00:25:05,720 --> 00:25:08,600
Speaker 5: Like the finely shredded because then I put more on it.

510
00:25:08,680 --> 00:25:10,360
Speaker 5: It makes me feel like I'm eating less.

511
00:25:11,040 --> 00:25:13,120
Speaker 4: She also does a weird thing where she we get

512
00:25:13,160 --> 00:25:16,199
Speaker 4: the scoops chips. Yeah, she get her salsa. She'll do

513
00:25:16,240 --> 00:25:19,000
Speaker 4: the scoop of salsa and then she'll get take her

514
00:25:19,160 --> 00:25:24,199
Speaker 4: tiny little witch hands and then and then sprinkle the

515
00:25:24,280 --> 00:25:26,679
Speaker 4: cheese on top. It's like a little notcho cheese.

516
00:25:27,040 --> 00:25:27,600
Speaker 6: And she does.

517
00:25:30,600 --> 00:25:32,040
Speaker 5: If there's food in front of my face, I will

518
00:25:32,080 --> 00:25:36,760
Speaker 5: eat it. So I do do that. But yeah, that's Argento.

519
00:25:36,840 --> 00:25:37,960
Speaker 3: It's slaps, oh.

520
00:25:37,760 --> 00:25:41,720
Speaker 1: Man's Argento slaps hashtags. Argento slaps the tenth brand we've

521
00:25:41,720 --> 00:25:42,359
Speaker 1: mentioned today.

522
00:25:42,400 --> 00:25:45,800
Speaker 4: I will say this like the this whole taco thing

523
00:25:45,960 --> 00:25:50,680
Speaker 4: derived because I'm now like on the seventh season of

524
00:25:50,800 --> 00:25:54,120
Speaker 4: doing Veteran Paradise or film it in Mexico, and they

525
00:25:54,240 --> 00:25:58,359
Speaker 4: make really good baha like traditional tacos. It's very simple,

526
00:25:58,600 --> 00:26:00,320
Speaker 4: like and that's what I like about it. It's like

527
00:26:00,480 --> 00:26:04,480
Speaker 4: very good protein usually just like white onions, a little

528
00:26:04,480 --> 00:26:08,080
Speaker 4: bit cheese, and then what they call down there gringo killer,

529
00:26:08,119 --> 00:26:12,760
Speaker 4: which is amazing. It's hot sauce. It's hot sauce, but

530
00:26:12,800 --> 00:26:17,520
Speaker 4: it's black. Oh and it kills gingos, it kills green gay.

531
00:26:19,040 --> 00:26:21,920
Speaker 5: So life came.

532
00:26:21,760 --> 00:26:23,359
Speaker 4: Back and I was like, these are the type of

533
00:26:23,400 --> 00:26:25,679
Speaker 4: akos I like when I go to Texas. I'm like,

534
00:26:25,760 --> 00:26:28,640
Speaker 4: this isn't a taco. This is so much cheese, Like

535
00:26:28,720 --> 00:26:30,879
Speaker 4: this is not what I think of as like a

536
00:26:30,920 --> 00:26:33,200
Speaker 4: true traditional taco, which they make a lot in Los

537
00:26:33,240 --> 00:26:34,240
Speaker 4: Angeles because.

538
00:26:34,080 --> 00:26:36,440
Speaker 3: Yeah, because you know they got Mexican.

539
00:26:36,640 --> 00:26:40,719
Speaker 1: Yeah, well in borderlands towns of Texas.

540
00:26:40,720 --> 00:26:41,240
Speaker 6: So we just drove.

541
00:26:41,359 --> 00:26:43,280
Speaker 1: We stopped in Big Bend on the way here, and

542
00:26:43,320 --> 00:26:45,359
Speaker 1: the closer you are to the border, the the easier

543
00:26:45,359 --> 00:26:47,359
Speaker 1: it is to find more of the traditional taco. How

544
00:26:47,359 --> 00:26:49,159
Speaker 1: about that ghetto would do it, like you said, some

545
00:26:49,280 --> 00:26:51,480
Speaker 1: diced onions, some limes, some Seilan throw and a really

546
00:26:51,520 --> 00:26:53,560
Speaker 1: good protein on diaz pretty much.

547
00:26:53,920 --> 00:26:56,919
Speaker 3: Oh you need But I am first of all, I'm

548
00:26:56,920 --> 00:26:57,359
Speaker 3: not Mexican.

549
00:26:57,400 --> 00:26:59,200
Speaker 1: I'm Hundering, and I grew up in the United States,

550
00:26:59,280 --> 00:27:04,800
Speaker 1: So I also love random fredgchees, just like randomly American eyes.

551
00:27:05,880 --> 00:27:08,639
Speaker 2: Oh don't don't get me started about American ied food.

552
00:27:10,560 --> 00:27:12,439
Speaker 4: What's your favorite Americanized food?

553
00:27:14,040 --> 00:27:15,679
Speaker 3: The chili talk about it.

554
00:27:15,880 --> 00:27:19,879
Speaker 2: I like just like a simple culinary forward dip called

555
00:27:20,400 --> 00:27:25,280
Speaker 2: taco dip, and it's just cream, cheese, hormel, chili.

556
00:27:25,040 --> 00:27:27,120
Speaker 3: No beans, gotta be horme, no beans.

557
00:27:27,080 --> 00:27:33,680
Speaker 2: And shredded craft or whatever's on sale. Yeah, and then

558
00:27:33,920 --> 00:27:37,600
Speaker 2: until it bubbles up, and then you just just kill.

559
00:27:38,600 --> 00:27:42,120
Speaker 4: Are you go with the thick fres into that?

560
00:27:42,440 --> 00:27:45,280
Speaker 2: Yes, a thick chip holds up. You can't go thin chip.

561
00:27:45,960 --> 00:27:46,399
Speaker 3: You got it.

562
00:27:46,440 --> 00:27:49,520
Speaker 5: You gotta have a fret, not like a like a

563
00:27:49,560 --> 00:27:52,040
Speaker 5: mission torti. You gotta have like just like straight up freedom.

564
00:27:52,240 --> 00:27:52,600
Speaker 3: There's a lot.

565
00:27:52,640 --> 00:27:54,560
Speaker 2: Sometimes I just take a spoon and eat it.

566
00:27:54,480 --> 00:27:57,120
Speaker 3: Though, to be let's let's let's.

567
00:27:58,600 --> 00:27:59,040
Speaker 6: There's a lot.

568
00:27:59,119 --> 00:28:02,720
Speaker 1: I'm back here. So you guys are obviously foodies. Y'all

569
00:28:02,760 --> 00:28:06,119
Speaker 1: love to cook, and you're recently married. And we're actually

570
00:28:06,119 --> 00:28:10,000
Speaker 1: about to get married in July. Outside of the tacos,

571
00:28:10,000 --> 00:28:12,399
Speaker 1: I mean, obviously, Wells, you seem to lead the charge

572
00:28:12,400 --> 00:28:14,160
Speaker 1: in the culinary adventures here.

573
00:28:14,400 --> 00:28:18,159
Speaker 4: I cook, she bakes. Also, it leans to like the

574
00:28:18,160 --> 00:28:20,119
Speaker 4: type of people that we are, Like I think that

575
00:28:20,240 --> 00:28:23,040
Speaker 4: baking is very exactly.

576
00:28:22,960 --> 00:28:25,440
Speaker 5: It's a math equation, and I like that, like you know.

577
00:28:25,400 --> 00:28:28,040
Speaker 4: What the exact things are. But I think we're both

578
00:28:28,040 --> 00:28:30,800
Speaker 4: pretty good. You have a couple. This is what I

579
00:28:30,800 --> 00:28:33,760
Speaker 4: would say to like every couple. That's if you're gonna

580
00:28:33,760 --> 00:28:35,560
Speaker 4: get married and have a bunch of parties and stuff,

581
00:28:36,000 --> 00:28:39,320
Speaker 4: you need to hone in like five to seven really

582
00:28:39,400 --> 00:28:42,120
Speaker 4: good things you can do that you can just like

583
00:28:42,240 --> 00:28:44,480
Speaker 4: without a problem, Like I can go do this, Like.

584
00:28:44,840 --> 00:28:49,080
Speaker 5: I make a root vegetable medley for every Thanksgiving and Christmas.

585
00:28:49,440 --> 00:28:54,080
Speaker 5: It looks really pretty. It's like colored carrots, beets, butternut squash,

586
00:28:54,160 --> 00:28:59,719
Speaker 5: and with time, obviously salt, pepper, olive oil, rosemary, and thyme.

587
00:29:00,000 --> 00:29:02,200
Speaker 5: I add some garlic clothes in there and everything like that,

588
00:29:02,240 --> 00:29:04,880
Speaker 5: and you just like bake it for like forty five minutes.

589
00:29:05,000 --> 00:29:08,200
Speaker 5: And here's the thing. Not a lot of people love beats.

590
00:29:08,480 --> 00:29:12,080
Speaker 5: They think it tastes too, like earthy, earthy tastes, like dirt,

591
00:29:12,120 --> 00:29:16,480
Speaker 5: all that kind of stuff. I love beats so much.

592
00:29:16,680 --> 00:29:19,320
Speaker 5: And when you perish, we forget that you ate them

593
00:29:19,360 --> 00:29:22,800
Speaker 5: the night before yet scary, I think you're dying. Yeah,

594
00:29:23,200 --> 00:29:27,200
Speaker 5: the morning afterwards you're like, oh, no, what do I have?

595
00:29:27,840 --> 00:29:31,920
Speaker 5: Yeah that's scary, but yeah, no, I make I do

596
00:29:32,000 --> 00:29:34,800
Speaker 5: make a good I make a cranberry loaf and a

597
00:29:34,840 --> 00:29:38,040
Speaker 5: pumpkin loaf from scratch every year. But I just like mixing.

598
00:29:38,120 --> 00:29:41,480
Speaker 5: I'm a really good mixer, whether it is a punch bowl,

599
00:29:41,720 --> 00:29:45,640
Speaker 5: a pesto sauce, deviled eggs, Like deviled eggs is just

600
00:29:45,720 --> 00:29:48,880
Speaker 5: mixing things, Like that's it. What is baking. It's mixing

601
00:29:48,960 --> 00:29:49,880
Speaker 5: things and then like.

602
00:29:50,000 --> 00:29:51,440
Speaker 3: Putting it in a thing.

603
00:29:51,520 --> 00:29:53,920
Speaker 5: Like I'm just good at mixing stuff.

604
00:29:53,640 --> 00:29:57,520
Speaker 4: When it comes to like our because we're like a team, right,

605
00:29:57,600 --> 00:30:00,120
Speaker 4: so like I think that when we come together, you

606
00:30:00,160 --> 00:30:01,880
Speaker 4: got this this and this and this this and this,

607
00:30:02,360 --> 00:30:04,880
Speaker 4: and then we go kill and also like it makes

608
00:30:04,920 --> 00:30:06,560
Speaker 4: it so we can't entertain and all that kind of

609
00:30:06,560 --> 00:30:11,520
Speaker 4: stuff and hopefully everyone leaves our house or our parties

610
00:30:11,560 --> 00:30:13,560
Speaker 4: like having an amazing time.

611
00:30:13,800 --> 00:30:16,000
Speaker 1: Yeah, you know, it's like cooking really, I mean, but

612
00:30:16,080 --> 00:30:17,920
Speaker 1: with the dough, it's different because you don't know what's

613
00:30:17,920 --> 00:30:19,400
Speaker 1: going to happen when you put in the oven. Like

614
00:30:19,800 --> 00:30:21,200
Speaker 1: I know, if I take a steak and put it

615
00:30:21,240 --> 00:30:23,400
Speaker 1: on the pan and I time it and have a thermometer,

616
00:30:23,560 --> 00:30:25,840
Speaker 1: I'm pretty sure I can get to a certain result.

617
00:30:26,040 --> 00:30:28,400
Speaker 3: But sometimes with dough, even me, like I'll.

618
00:30:28,200 --> 00:30:30,440
Speaker 6: Be in the bakery. We're about to open a bakery.

619
00:30:30,600 --> 00:30:32,720
Speaker 1: And I'll literally be like, I'll put it in the

620
00:30:32,760 --> 00:30:34,480
Speaker 1: oven and just be like watching it, like, yeah.

621
00:30:35,440 --> 00:30:39,520
Speaker 5: Yeah, even though I've air bubbles is in that dough?

622
00:30:39,600 --> 00:30:40,400
Speaker 5: I have no idea.

623
00:30:40,480 --> 00:30:41,360
Speaker 3: I have no idea.

624
00:30:41,480 --> 00:30:42,840
Speaker 6: Yeah, you have every dough.

625
00:30:43,120 --> 00:30:45,120
Speaker 3: It's a living creature, it's a living organism.

626
00:30:45,160 --> 00:30:48,480
Speaker 2: And so yeah, no. So actually in North Carolina, we

627
00:30:48,520 --> 00:30:51,200
Speaker 2: had a pizza party with the locals in the town.

628
00:30:51,800 --> 00:30:55,080
Speaker 2: Like the local we went on a whitewater rafting trip

629
00:30:55,120 --> 00:31:00,160
Speaker 2: and Brian saved an old man's life. Oh wow, so

630
00:31:00,280 --> 00:31:05,280
Speaker 2: like this old man had no business being on a

631
00:31:05,280 --> 00:31:06,600
Speaker 2: whitewater rafting trip.

632
00:31:06,720 --> 00:31:07,600
Speaker 3: Like fell out.

633
00:31:08,040 --> 00:31:10,080
Speaker 1: I was wearing the tightest shorts I've ever worn in

634
00:31:10,120 --> 00:31:13,760
Speaker 1: my life because I mispacked my bag, I guess. And

635
00:31:13,880 --> 00:31:17,440
Speaker 1: so I'm sitting there and our guide, our raft guide,

636
00:31:17,480 --> 00:31:20,320
Speaker 1: he was kind of a showman joke. Rocky shout out

637
00:31:20,320 --> 00:31:22,959
Speaker 1: to Rocky Bro Like, all of a sudden, he goes, oh,

638
00:31:23,000 --> 00:31:25,240
Speaker 1: we got to go save that guy's life. Oh, because

639
00:31:25,240 --> 00:31:27,680
Speaker 1: they explained that in the beginning to if you have

640
00:31:27,720 --> 00:31:29,760
Speaker 1: to save someone's life, you grab them by the vest

641
00:31:29,760 --> 00:31:32,840
Speaker 1: and all this kind of push and he's like, we

642
00:31:32,840 --> 00:31:34,840
Speaker 1: got to save this guy's life. And we're like ah,

643
00:31:35,080 --> 00:31:37,200
Speaker 1: and he's like, no, I'm serious and he points and

644
00:31:37,240 --> 00:31:39,640
Speaker 1: that old man bro he was gone.

645
00:31:40,200 --> 00:31:43,520
Speaker 3: He was going fast, head first guy. He was blue

646
00:31:43,560 --> 00:31:46,320
Speaker 3: in the face. We get there and.

647
00:31:46,080 --> 00:31:47,440
Speaker 4: He jumped out of the boat.

648
00:31:47,480 --> 00:31:49,280
Speaker 1: I didn't jump out of the boat. He got close

649
00:31:49,360 --> 00:31:50,880
Speaker 1: enough and he was like, Brian is on you like

650
00:31:50,920 --> 00:31:51,239
Speaker 1: do it?

651
00:31:51,280 --> 00:31:52,239
Speaker 3: Like get him up?

652
00:31:52,280 --> 00:31:54,680
Speaker 1: And so yeah, I like, I was like, okay, two

653
00:31:54,720 --> 00:31:57,920
Speaker 1: fingers under the thing, pushed down, pull up.

654
00:31:57,960 --> 00:31:58,680
Speaker 3: I pulled him up.

655
00:31:58,720 --> 00:32:02,200
Speaker 1: The banana shorts were ripping and I was I was like,

656
00:32:02,280 --> 00:32:04,480
Speaker 1: I'm going to take this pain. And I did say

657
00:32:04,520 --> 00:32:05,160
Speaker 1: that man's life.

658
00:32:05,240 --> 00:32:05,440
Speaker 3: Yeah.

659
00:32:05,480 --> 00:32:07,360
Speaker 2: So it was a nice thing in the town. Everyone

660
00:32:07,400 --> 00:32:11,120
Speaker 2: was just like, he's a hero. So we travel with

661
00:32:11,760 --> 00:32:16,200
Speaker 2: the Ooney Oven, so wherever we go, we throw a party. Anyway,

662
00:32:16,280 --> 00:32:19,400
Speaker 2: it was hot springs shout out, shout out, Hot Springs,

663
00:32:19,400 --> 00:32:20,479
Speaker 2: North Carolina, Rocky.

664
00:32:20,720 --> 00:32:23,400
Speaker 5: You know what I took away from this story is

665
00:32:23,440 --> 00:32:26,680
Speaker 5: that Rocky is not an actual living human.

666
00:32:27,000 --> 00:32:30,720
Speaker 4: He's the guy.

667
00:32:30,880 --> 00:32:33,400
Speaker 5: Yeah, but like Rocky couldn't even get in the water

668
00:32:33,480 --> 00:32:36,320
Speaker 5: to say that man's life because he's not a real

669
00:32:36,520 --> 00:32:37,200
Speaker 5: human being.

670
00:32:37,360 --> 00:32:39,480
Speaker 4: No, a guy could never get out of the boat.

671
00:32:40,080 --> 00:32:42,920
Speaker 3: I don't know, are you? And stuff like that.

672
00:32:42,960 --> 00:32:47,400
Speaker 5: Obviously you should see when I said her little witch

673
00:32:47,400 --> 00:32:50,680
Speaker 5: fingers in the cheese, there wasn't a My.

674
00:32:50,600 --> 00:32:52,240
Speaker 1: Mom doesn't like to admit it, but we have like

675
00:32:52,400 --> 00:32:55,280
Speaker 1: witch in our blood. Sorry, Ma, you got irish background,

676
00:32:55,320 --> 00:32:58,720
Speaker 1: so that means you got that witch in you too. Wells,

677
00:32:58,760 --> 00:32:59,320
Speaker 1: are you Witchy?

678
00:32:59,520 --> 00:33:03,520
Speaker 5: Wells is way more witchy than he wants to believe.

679
00:33:03,800 --> 00:33:08,120
Speaker 4: I'll be like, oh, that person is definitely cheating on

680
00:33:08,160 --> 00:33:10,360
Speaker 4: the other person, and she's like, how would you know that?

681
00:33:10,400 --> 00:33:13,400
Speaker 4: And like, well, I've been watching this whole thing, and

682
00:33:13,440 --> 00:33:15,800
Speaker 4: she's like, you're you know something. No, I've just been

683
00:33:15,840 --> 00:33:16,400
Speaker 4: paying attention.

684
00:33:17,000 --> 00:33:19,640
Speaker 2: Wow, there's energies, I think to it, like you can

685
00:33:19,760 --> 00:33:20,640
Speaker 2: just kind of pick.

686
00:33:20,520 --> 00:33:25,280
Speaker 5: Up well he's very sensitive to energies as well. He

687
00:33:25,320 --> 00:33:28,920
Speaker 5: doesn't like going into my office, which is my like witchy.

688
00:33:29,360 --> 00:33:32,080
Speaker 4: There's a whole energy is not great.

689
00:33:32,160 --> 00:33:32,760
Speaker 3: I love it.

690
00:33:32,760 --> 00:33:35,720
Speaker 5: It is not not great. You're just afraid of I

691
00:33:35,840 --> 00:33:38,640
Speaker 5: put up my spiritual communications center in there because they

692
00:33:38,640 --> 00:33:40,800
Speaker 5: were like hanging out too much in my bedroom and

693
00:33:40,840 --> 00:33:41,800
Speaker 5: I was like in.

694
00:33:41,720 --> 00:33:44,080
Speaker 4: The podcast, I don't like it. It's the rail It's.

695
00:33:43,960 --> 00:33:48,080
Speaker 1: Okay, because honestly, first of all the Adams I wanted

696
00:33:48,080 --> 00:33:50,760
Speaker 1: to say something, so sorry, I walked away because I

697
00:33:50,800 --> 00:33:52,960
Speaker 1: went to the wine cellar and you asked about this

698
00:33:53,000 --> 00:33:56,000
Speaker 1: whole nostalgia thing, and you chose La Crema And I

699
00:33:56,000 --> 00:33:57,560
Speaker 1: don't know if you chose that for a reason.

700
00:33:58,640 --> 00:34:00,840
Speaker 3: That twenty dollars budget wine that we got.

701
00:34:01,040 --> 00:34:03,120
Speaker 4: Well, it was you did a very good job in

702
00:34:03,200 --> 00:34:05,760
Speaker 4: terms of nostalgia because it's from where I grew up

703
00:34:05,840 --> 00:34:06,840
Speaker 4: to Monterey.

704
00:34:07,040 --> 00:34:09,600
Speaker 2: That's true Monterey.

705
00:34:09,719 --> 00:34:15,960
Speaker 4: Yeah, yes, anyway, which level, my my father, doctor Adams,

706
00:34:15,640 --> 00:34:20,759
Speaker 4: and my brother make wine up in Cloverdale, close to Healsburg.

707
00:34:21,160 --> 00:34:24,120
Speaker 4: And so this is our twenty seventeen cabs. Sara, you

708
00:34:24,200 --> 00:34:24,640
Speaker 4: like this one?

709
00:34:24,800 --> 00:34:26,000
Speaker 5: Yeah, yeah, that's my favorite cab.

710
00:34:26,080 --> 00:34:27,760
Speaker 4: This one's her favorite. So I thought we would.

711
00:34:28,120 --> 00:34:29,360
Speaker 3: I would love to have some.

712
00:34:32,520 --> 00:34:33,640
Speaker 4: Time to breathe.

713
00:34:33,640 --> 00:34:37,120
Speaker 3: Probably what a full circle moment that the doctor Adams

714
00:34:37,120 --> 00:34:39,320
Speaker 3: wine came out and this was money.

715
00:34:38,960 --> 00:34:41,280
Speaker 2: An intuitive move you just made.

716
00:34:41,719 --> 00:34:43,000
Speaker 5: It's almost as if you're a.

717
00:34:44,520 --> 00:34:44,759
Speaker 6: Witch.

718
00:34:45,640 --> 00:34:50,680
Speaker 3: Witch. You guys have great vibes. We are off the rails.

719
00:34:50,840 --> 00:34:52,640
Speaker 1: I just want to sech of my listeners really quickly.

720
00:34:53,440 --> 00:34:55,080
Speaker 1: This is one of the best episodes ever.

721
00:34:55,400 --> 00:34:56,440
Speaker 2: This is what true.

722
00:34:56,239 --> 00:34:57,239
Speaker 5: Double dates are like.

723
00:34:57,360 --> 00:34:57,400
Speaker 3: That.

724
00:34:58,160 --> 00:35:01,520
Speaker 5: This is like legit, like what our double dates are

725
00:35:01,640 --> 00:35:04,840
Speaker 5: like in real life. And it's amazing being on this

726
00:35:04,880 --> 00:35:07,640
Speaker 5: double date with you for everybody to here.

727
00:35:07,920 --> 00:35:09,040
Speaker 2: Thank you so much.

728
00:35:09,160 --> 00:35:12,880
Speaker 1: Here's to miss Adams wine.

729
00:35:13,160 --> 00:35:15,520
Speaker 3: Adam's wine. I cannot wait to taste this.

730
00:35:15,680 --> 00:35:19,720
Speaker 4: It needs to breathe a little bit, not drink it.

731
00:35:20,000 --> 00:35:22,399
Speaker 4: That's my way of saying it might become a shitty No,

732
00:35:22,480 --> 00:35:24,320
Speaker 4: it's not. And it's time is the issue.

733
00:35:24,400 --> 00:35:25,799
Speaker 3: You know when you go to dive bars and you

734
00:35:25,920 --> 00:35:28,360
Speaker 3: order wine and you're like, why did I just do that?

735
00:35:28,400 --> 00:35:30,759
Speaker 1: Because you see that like half full bottle they have

736
00:35:30,760 --> 00:35:32,160
Speaker 1: been touched for about three.

737
00:35:31,960 --> 00:35:33,759
Speaker 3: Months, yeah exactly, And then they pour you the.

738
00:35:33,719 --> 00:35:35,920
Speaker 1: Red wine and then you taste it and you're like,

739
00:35:36,040 --> 00:35:38,040
Speaker 1: oh my god, that Adams Wow.

740
00:35:39,239 --> 00:35:39,640
Speaker 4: A little bit.

741
00:35:39,680 --> 00:35:42,240
Speaker 5: And I will say, as a person who is a fan,

742
00:35:42,840 --> 00:35:45,759
Speaker 5: I have made a massive dent in this year of

743
00:35:45,840 --> 00:35:50,040
Speaker 5: the Cabs, So while it breathes.

744
00:35:50,200 --> 00:35:56,760
Speaker 1: Actually, I'll segue us into our flaky game. The recipe

745
00:35:56,840 --> 00:35:59,120
Speaker 1: for you know, the risotto and everything I did will

746
00:35:59,160 --> 00:36:02,279
Speaker 1: be on Sean Landock. Get on the discord, talk about it,

747
00:36:02,360 --> 00:36:03,000
Speaker 1: let's make it.

748
00:36:03,320 --> 00:36:16,239
Speaker 6: We'll be right back. All right, all right, let's just

749
00:36:16,320 --> 00:36:16,880
Speaker 6: jump back in.

750
00:36:21,920 --> 00:36:25,279
Speaker 3: You want to leave the flake game, babe? Yes, I

751
00:36:25,320 --> 00:36:26,239
Speaker 3: think you should.

752
00:36:27,440 --> 00:36:29,760
Speaker 2: Because I came up with these questions earlier today.

753
00:36:30,160 --> 00:36:37,120
Speaker 3: Yeah, and they're kind of intense. You got your scantron's ready.

754
00:36:37,800 --> 00:36:40,239
Speaker 2: Number two pencils four.

755
00:36:40,040 --> 00:36:40,799
Speaker 4: A's in a row.

756
00:36:41,680 --> 00:36:45,080
Speaker 1: You camp when I grew up the answer the right

757
00:36:45,120 --> 00:36:46,120
Speaker 1: answer if you didn't know.

758
00:36:46,280 --> 00:36:48,480
Speaker 5: C yeah, went in doubt Charlie out every.

759
00:36:48,360 --> 00:36:48,799
Speaker 3: Now and then.

760
00:36:48,880 --> 00:36:52,480
Speaker 4: D If it's all the above the above, Yeah, that was.

761
00:36:52,440 --> 00:36:54,719
Speaker 1: Always a good If it's at all the above, you'd

762
00:36:54,719 --> 00:36:56,160
Speaker 1: be like, yep, all right, let's play this game.

763
00:36:58,239 --> 00:37:02,800
Speaker 2: Okay. This is a multiple choice taco food trivia question.

764
00:37:03,120 --> 00:37:05,280
Speaker 5: Oh I haven't studied.

765
00:37:05,200 --> 00:37:11,880
Speaker 2: Okay, okay, everyone relaxed. Tickety breath b Okay, how heavy

766
00:37:12,280 --> 00:37:17,400
Speaker 2: was the largest taco in the world? Was it a

767
00:37:17,480 --> 00:37:21,279
Speaker 2: one thousand, six hundred and fifty four pounds? Was it

768
00:37:21,440 --> 00:37:27,000
Speaker 2: b five thousand pounds. Was it C nine hundred and

769
00:37:27,040 --> 00:37:30,520
Speaker 2: eighty pounds or was it D two hundred pounds?

770
00:37:32,440 --> 00:37:34,960
Speaker 5: You want to go, ladies first, I'm gonna win in doubt,

771
00:37:35,040 --> 00:37:36,120
Speaker 5: Charlie out kind of.

772
00:37:36,040 --> 00:37:38,600
Speaker 4: Galt, D Okay, I'll go D.

773
00:37:39,239 --> 00:37:40,319
Speaker 5: I have a feeling it's more.

774
00:37:40,960 --> 00:37:45,240
Speaker 2: Yes, it is as your witch energy coming out five thousand,

775
00:37:45,480 --> 00:37:46,560
Speaker 2: sixteen fifty four.

776
00:37:46,640 --> 00:37:47,600
Speaker 5: Sixteen fifty four.

777
00:37:47,719 --> 00:37:49,880
Speaker 2: If you had it in front of you, you would

778
00:37:49,920 --> 00:37:53,800
Speaker 2: see that B, C, and D were all like whole numbers.

779
00:37:54,360 --> 00:37:59,680
Speaker 5: Yeah, yeah, I said C, and I was like not No.

780
00:37:59,760 --> 00:38:02,280
Speaker 2: I'm going to give a little background on this large

781
00:38:02,480 --> 00:38:06,360
Speaker 2: flower taco. It took a staff of approximately eighty people,

782
00:38:07,160 --> 00:38:11,080
Speaker 2: which lasted six hours, and the record was broken during

783
00:38:11,080 --> 00:38:15,600
Speaker 2: the one hundredth anniversary celebrations of the City of MEXICALI.

784
00:38:15,960 --> 00:38:19,160
Speaker 4: All right, how do you think they made that tortilla?

785
00:38:19,440 --> 00:38:19,520
Speaker 6: So?

786
00:38:19,560 --> 00:38:20,759
Speaker 3: How did they make so?

787
00:38:21,000 --> 00:38:23,239
Speaker 4: Was it just like on like a giant black top

788
00:38:23,600 --> 00:38:25,960
Speaker 4: streets that they knew.

789
00:38:27,440 --> 00:38:29,560
Speaker 3: The year on the street?

790
00:38:29,760 --> 00:38:32,560
Speaker 4: Yeah, just and it cooks it think it's gotta be And.

791
00:38:32,600 --> 00:38:33,440
Speaker 6: How do you flip it?

792
00:38:33,840 --> 00:38:36,000
Speaker 3: We will circle back to the specifics of it.

793
00:38:36,040 --> 00:38:38,920
Speaker 1: But our next question in our flaky games, this is

794
00:38:38,920 --> 00:38:41,279
Speaker 1: the most the flake is how much.

795
00:38:41,160 --> 00:38:45,000
Speaker 2: Is the world's most expensive taco? Is it A one

796
00:38:45,040 --> 00:38:50,440
Speaker 2: thousand dollars B fifty thousand dollars C twenty five thousand

797
00:38:50,520 --> 00:38:54,520
Speaker 2: dollars or is it D ninety five thousand dollars.

798
00:38:55,600 --> 00:38:59,520
Speaker 5: Ten fifty twenty five ninety ninety five. Well, like, let's

799
00:38:59,520 --> 00:39:03,040
Speaker 5: think this baby, right, Okay, what's like the most expensive

800
00:39:03,040 --> 00:39:09,239
Speaker 5: cut of meat that you can get? WAGU great is that?

801
00:39:09,360 --> 00:39:11,520
Speaker 4: I feel like ten thousand is the most you can

802
00:39:11,600 --> 00:39:13,160
Speaker 4: charge for any type of meal.

803
00:39:13,400 --> 00:39:14,520
Speaker 5: I don't know though.

804
00:39:14,920 --> 00:39:17,360
Speaker 4: Ten thousand is a lot of there's a gold.

805
00:39:17,160 --> 00:39:17,839
Speaker 5: Leaf on there.

806
00:39:19,480 --> 00:39:26,720
Speaker 4: Thousand WHOA, no, twenty five thousand, it's got.

807
00:39:26,520 --> 00:39:27,000
Speaker 6: To be the answer.

808
00:39:27,080 --> 00:39:28,560
Speaker 5: Twenty five thousand gotta be it.

809
00:39:28,920 --> 00:39:31,759
Speaker 1: I don't know how you did that, but it does

810
00:39:31,840 --> 00:39:32,760
Speaker 1: have gold leaf.

811
00:39:33,239 --> 00:39:36,000
Speaker 3: Of course, is twenty five thousand.

812
00:39:37,400 --> 00:39:37,840
Speaker 4: Caviar.

813
00:39:38,800 --> 00:39:42,720
Speaker 2: It's a featuring a gold flake corn tortilla. This taco

814
00:39:42,800 --> 00:39:49,279
Speaker 2: is made up of premium ingredients, including lagines, legoes.

815
00:39:49,320 --> 00:39:51,200
Speaker 3: I just wanted to I.

816
00:39:51,200 --> 00:39:53,320
Speaker 4: Like the way you did it.

817
00:39:52,840 --> 00:40:00,680
Speaker 2: Yeah, kobaby, almaga, caviar, oh back truffle.

818
00:40:01,040 --> 00:40:03,560
Speaker 4: Okay, basically what we ordered.

819
00:40:03,680 --> 00:40:06,080
Speaker 5: Yes, yes, but I'm telling you that it's like we'll

820
00:40:06,080 --> 00:40:06,879
Speaker 5: be sending you a bill.

821
00:40:07,560 --> 00:40:10,359
Speaker 1: This is at the Grand Vellas Los Cabos resort, so

822
00:40:10,600 --> 00:40:13,200
Speaker 1: it sounds like you guys are probably gonna go there soon.

823
00:40:13,560 --> 00:40:15,800
Speaker 5: I'm not going to spend twenty five brand on a taco.

824
00:40:16,320 --> 00:40:19,800
Speaker 2: Next question, Okay, what is the world record of most

825
00:40:19,880 --> 00:40:21,840
Speaker 2: tacos eaten in eight minutes?

826
00:40:22,200 --> 00:40:23,040
Speaker 5: Eight minutes?

827
00:40:23,440 --> 00:40:27,200
Speaker 2: Is it A eighty seven tacos? Is it B one

828
00:40:27,280 --> 00:40:30,840
Speaker 2: hundred and forty seven tacos? Is it C two hundred

829
00:40:30,880 --> 00:40:33,440
Speaker 2: and thirty one tacos? Or is it D one hundred

830
00:40:33,480 --> 00:40:36,160
Speaker 2: and twenty six tacos in eight minutes?

831
00:40:36,640 --> 00:40:42,600
Speaker 4: Yeah, just someone who's watched the hot dog eating thing. Yeah,

832
00:40:43,360 --> 00:40:46,440
Speaker 4: they top out mid one fifties.

833
00:40:47,840 --> 00:40:49,040
Speaker 6: Really, I mean, I don't know.

834
00:40:49,200 --> 00:40:51,080
Speaker 5: They put the bread in the water and then just

835
00:40:51,120 --> 00:40:52,239
Speaker 5: like shove it down their throat.

836
00:40:52,760 --> 00:40:55,600
Speaker 4: First impression is the one twenty something?

837
00:40:56,080 --> 00:40:58,359
Speaker 5: Okay, I'm gonna let you answer this since I did

838
00:40:58,400 --> 00:40:59,960
Speaker 5: the first ones, like.

839
00:40:59,880 --> 00:41:08,920
Speaker 4: They helped you. What the game is rich? Okay, we

840
00:41:08,920 --> 00:41:11,840
Speaker 4: feel about the one twenty we feel don't feel about it,

841
00:41:12,600 --> 00:41:13,280
Speaker 4: We don't feel.

842
00:41:13,160 --> 00:41:13,719
Speaker 6: Right about it.

843
00:41:14,800 --> 00:41:18,200
Speaker 1: So the was the one like ninety so y eighty seven,

844
00:41:18,280 --> 00:41:19,960
Speaker 1: one seven and thirty one?

845
00:41:20,080 --> 00:41:21,000
Speaker 4: I think eighty seven?

846
00:41:24,200 --> 00:41:27,640
Speaker 3: It was Joey Chestnut. Joey, Yes, Joey.

847
00:41:28,000 --> 00:41:29,719
Speaker 5: Joey Chestnut did the taco thing too.

848
00:41:29,840 --> 00:41:30,080
Speaker 3: Yeah.

849
00:41:30,320 --> 00:41:33,640
Speaker 4: Classic, they all they do all of those things.

850
00:41:33,880 --> 00:41:37,040
Speaker 5: God damn Joey Chestnut for the win again, Joey ches

851
00:41:37,360 --> 00:41:37,799
Speaker 5: love him?

852
00:41:37,920 --> 00:41:39,440
Speaker 3: What's up with his internal organs?

853
00:41:39,520 --> 00:41:42,080
Speaker 2: Wait a minute, Wait a minute, Wait a minute, This

854
00:41:42,160 --> 00:41:46,000
Speaker 2: is a like a biscuit error. What because you're first?

855
00:41:46,360 --> 00:41:47,279
Speaker 3: Yeah, it was right?

856
00:41:48,000 --> 00:41:50,240
Speaker 5: What see I told you interation?

857
00:41:50,719 --> 00:41:53,520
Speaker 3: Wait so he was actually right intuition.

858
00:41:53,760 --> 00:41:54,720
Speaker 5: I told you he's psychic.

859
00:41:54,960 --> 00:41:59,600
Speaker 2: I just reread my answer. Joey Chestnut broke the world

860
00:41:59,680 --> 00:42:05,279
Speaker 2: record for eighty seven tacos and twenty six tacos in

861
00:42:05,400 --> 00:42:06,120
Speaker 2: eight minutes.

862
00:42:06,360 --> 00:42:07,720
Speaker 5: See intuition psychic.

863
00:42:07,760 --> 00:42:11,960
Speaker 2: I told you, guys, he stood by it, which I respect.

864
00:42:12,320 --> 00:42:15,479
Speaker 5: He's a witch, I told you, and I've been told

865
00:42:15,480 --> 00:42:16,080
Speaker 5: well done for a while.

866
00:42:16,120 --> 00:42:16,920
Speaker 2: Well done.

867
00:42:17,320 --> 00:42:19,360
Speaker 3: That was a flaky. That was the first.

868
00:42:19,760 --> 00:42:22,120
Speaker 2: Again, that was a flaky And that's what all.

869
00:42:23,640 --> 00:42:27,520
Speaker 4: That's what happens when you have three balls of wine household.

870
00:42:28,239 --> 00:42:31,200
Speaker 3: Some rare family heirloom wine as well.

871
00:42:31,719 --> 00:42:34,640
Speaker 1: We really appreciated y'all being on Flaky Biscuit And at

872
00:42:34,640 --> 00:42:37,160
Speaker 1: the end of each episode, we like to talk about

873
00:42:37,280 --> 00:42:41,239
Speaker 1: organizations that our guests are proud to be supporting, and

874
00:42:41,280 --> 00:42:43,600
Speaker 1: I understand that there were quite a few organizations that

875
00:42:43,680 --> 00:42:47,400
Speaker 1: y'all are proud to support. You know, we're going to

876
00:42:47,480 --> 00:42:50,240
Speaker 1: have the details in our show notes, but I understand

877
00:42:50,239 --> 00:42:53,400
Speaker 1: the George Lopes Foundation, No Kid Hungry, the SPCA, and

878
00:42:53,480 --> 00:42:57,440
Speaker 1: the Nashville Humane Association are important to y'all, So feel

879
00:42:57,440 --> 00:42:59,480
Speaker 1: free to let us, let me let Bridge and nine

880
00:42:59,520 --> 00:43:02,480
Speaker 1: our listeners know why these organizations are important.

881
00:43:02,960 --> 00:43:07,320
Speaker 4: Easy to start with George Lopez friend of ours, Yeah.

882
00:43:07,239 --> 00:43:10,400
Speaker 5: Close friend mentor for me when I was in my

883
00:43:10,480 --> 00:43:14,080
Speaker 5: early twenties going through kidney failure. The Joeorge Lopez Foundation

884
00:43:14,800 --> 00:43:19,359
Speaker 5: supports kids who are either in the process where they're

885
00:43:19,400 --> 00:43:22,600
Speaker 5: on dialysis the need for a kidney, or they are

886
00:43:22,680 --> 00:43:26,840
Speaker 5: post kidney transplant patients. It's a really wonderful foundation. I

887
00:43:26,920 --> 00:43:29,560
Speaker 5: used to be the youth ambassador for the program as

888
00:43:29,640 --> 00:43:31,839
Speaker 5: well as the youth ambassador for No Kid Hungary, which

889
00:43:31,880 --> 00:43:35,680
Speaker 5: I think speaks very loudly to the listeners of this

890
00:43:35,719 --> 00:43:40,640
Speaker 5: specific podcast. There are so many programs in place. I

891
00:43:40,719 --> 00:43:43,160
Speaker 5: was brought in by Jeff Bridges to the No Kid

892
00:43:43,239 --> 00:43:47,160
Speaker 5: Hungry Foundation, but there are so many organizations in place

893
00:43:47,719 --> 00:43:52,520
Speaker 5: like school lunches during the summertime that parents are unaware of,

894
00:43:52,880 --> 00:43:57,880
Speaker 5: and so many kids get sent to school with out lunches.

895
00:43:58,040 --> 00:44:02,360
Speaker 5: Families depend on school cool lunches for their children to

896
00:44:02,480 --> 00:44:05,640
Speaker 5: be able to eat. So when the summertime comes, those

897
00:44:05,680 --> 00:44:09,960
Speaker 5: families are like really out of luck. And like child

898
00:44:10,040 --> 00:44:14,120
Speaker 5: hunger within the United States specifically, is something that is

899
00:44:14,200 --> 00:44:18,240
Speaker 5: so very easily solved. There are programs already in place.

900
00:44:19,000 --> 00:44:22,360
Speaker 5: We have been made so much progress as an organization

901
00:44:22,520 --> 00:44:27,000
Speaker 5: to bring more school lunches into schools, into the homes

902
00:44:27,040 --> 00:44:31,440
Speaker 5: of all of these kids whose families, unfortunately are just

903
00:44:32,080 --> 00:44:35,799
Speaker 5: victims of a system that doesn't really support them and

904
00:44:36,160 --> 00:44:39,880
Speaker 5: it is prejudice. And this is the United States of America.

905
00:44:40,000 --> 00:44:41,680
Speaker 5: So like children should not be going hungry on a

906
00:44:41,760 --> 00:44:45,120
Speaker 5: daily basis here, there's these systems in place, and that's

907
00:44:45,120 --> 00:44:49,800
Speaker 5: what really what nokid Hungry supports, just raising awareness, going

908
00:44:49,840 --> 00:44:52,799
Speaker 5: to this Senate, trying to get these programs set up

909
00:44:52,800 --> 00:44:54,719
Speaker 5: in motion or just even to be made aware of.

910
00:44:55,160 --> 00:44:57,480
Speaker 5: So that is something that I'm really passionate about as

911
00:44:57,520 --> 00:45:00,400
Speaker 5: well as because I see an end in sight. You know,

912
00:45:01,400 --> 00:45:04,960
Speaker 5: child hunger is actually something that we can solve and

913
00:45:05,000 --> 00:45:07,200
Speaker 5: wrap a really pretty bow on it, at least in

914
00:45:07,239 --> 00:45:12,600
Speaker 5: the United States of America, right, And obviously, the ASPCA

915
00:45:12,840 --> 00:45:15,720
Speaker 5: and Nashville Humane Association are very close to us because

916
00:45:16,280 --> 00:45:21,440
Speaker 5: we're big animal lovers. I would cuddle with a bear

917
00:45:21,680 --> 00:45:24,440
Speaker 5: if it meant the end of my life, I wouldn't.

918
00:45:24,760 --> 00:45:27,719
Speaker 5: I wouldn't mind. As long as I could cuddle with

919
00:45:27,760 --> 00:45:29,719
Speaker 5: a bear, I'd be good. Do not cuddle with a.

920
00:45:29,680 --> 00:45:31,239
Speaker 2: Bear, don't do that.

921
00:45:31,280 --> 00:45:32,440
Speaker 5: Disclaimer, don't do that.

922
00:45:32,920 --> 00:45:33,840
Speaker 6: Cuddle with bears.

923
00:45:34,000 --> 00:45:36,560
Speaker 4: But yeah, I mean both of us. I was highly

924
00:45:37,360 --> 00:45:40,800
Speaker 4: involved in the Nashville Humane Association when I worked in

925
00:45:40,920 --> 00:45:43,920
Speaker 4: Nashville as a radio DJ, and we would try to

926
00:45:43,920 --> 00:45:46,399
Speaker 4: get a dog or a cat adopted every single week,

927
00:45:46,440 --> 00:45:49,359
Speaker 4: which we were able to do for my entire tenure there,

928
00:45:49,360 --> 00:45:51,640
Speaker 4: which is like something I was really proud of and

929
00:45:52,320 --> 00:45:54,239
Speaker 4: unknownst to me at the time. Sarah was doing the

930
00:45:54,320 --> 00:45:57,520
Speaker 4: exact same thing with the ASPCA out here so obviously

931
00:45:58,400 --> 00:46:01,040
Speaker 4: and New York, and so it was something that's always

932
00:46:01,040 --> 00:46:03,680
Speaker 4: been very big for us, is to make sure that

933
00:46:04,280 --> 00:46:10,200
Speaker 4: kids aren't hungry and dogs and cats have forever homesh Yeah.

934
00:46:10,280 --> 00:46:12,760
Speaker 2: Amazing, awesome, Well, thank you guys so much for sharing.

935
00:46:12,920 --> 00:46:15,960
Speaker 1: Yeah, we really appreciate y'all sharing so much with us

936
00:46:16,000 --> 00:46:18,200
Speaker 1: and to the listeners. Check out the show notes as

937
00:46:18,239 --> 00:46:21,080
Speaker 1: usual for information on how to volunteer, how to donate,

938
00:46:21,120 --> 00:46:24,600
Speaker 1: how to help, how to support these causes, and from

939
00:46:24,680 --> 00:46:25,480
Speaker 1: Flaky Biscuit.

940
00:46:25,640 --> 00:46:27,600
Speaker 3: I think this is probably the best double date I've

941
00:46:27,600 --> 00:46:27,920
Speaker 3: ever had.

942
00:46:28,080 --> 00:46:30,560
Speaker 5: This is so can I plug one thing?

943
00:46:30,640 --> 00:46:32,680
Speaker 3: Actually anything you want?

944
00:46:32,719 --> 00:46:36,600
Speaker 5: So I have a company which is a supplemental vitamin

945
00:46:36,920 --> 00:46:42,000
Speaker 5: chocolate company. So it is called Source and it is vegan,

946
00:46:42,400 --> 00:46:46,520
Speaker 5: gluten free and a fair trade company where we have

947
00:46:46,800 --> 00:46:50,280
Speaker 5: chocolate vitamins that are obviously you guys know that chocolate's

948
00:46:50,400 --> 00:46:54,280
Speaker 5: natural prebiotic, so you're actually able to absorb the vitamins

949
00:46:54,280 --> 00:46:56,600
Speaker 5: that we put into our chocolate. For those who want

950
00:46:56,640 --> 00:46:58,920
Speaker 5: to check it out, go to try Source dot com.

951
00:46:59,080 --> 00:47:00,800
Speaker 5: S U R s E.

952
00:47:01,719 --> 00:47:04,319
Speaker 4: Love Island USA, of which you host is coming back

953
00:47:04,360 --> 00:47:07,640
Speaker 4: for another season. Yes, and you'll be there for that.

954
00:47:07,960 --> 00:47:09,480
Speaker 4: You got a movie I think that you're gonna be

955
00:47:09,560 --> 00:47:12,719
Speaker 4: working on this year, which is exciting. Bacher and Paradise

956
00:47:12,880 --> 00:47:15,880
Speaker 4: is always never gonna end, so I'm sure I'll be

957
00:47:16,040 --> 00:47:21,080
Speaker 4: back doing that than ever. YFT my podcast y F

958
00:47:21,200 --> 00:47:23,040
Speaker 4: t uh, And then I do it. I do a

959
00:47:23,040 --> 00:47:25,959
Speaker 4: cooking podcast with Tyler Florence, who is on a bunch

960
00:47:26,000 --> 00:47:27,919
Speaker 4: of Food Network shows called Two Dudes in the Kitchen

961
00:47:27,920 --> 00:47:30,439
Speaker 4: where we just talk about like I'm the idiot where

962
00:47:30,440 --> 00:47:34,040
Speaker 4: I just talk about. I asked him questions on like

963
00:47:34,239 --> 00:47:36,759
Speaker 4: how do you be a better cook? That's about it?

964
00:47:37,080 --> 00:47:37,959
Speaker 4: Who knows what else?

965
00:47:38,160 --> 00:47:43,520
Speaker 2: You're not an idiot? You make Doug gumbo.

966
00:47:46,440 --> 00:47:48,440
Speaker 3: I think you're a sleeper in the kitchen, wells man.

967
00:47:49,120 --> 00:47:50,759
Speaker 2: So this is what we did. I did want to

968
00:47:50,800 --> 00:47:53,320
Speaker 2: ask if you guys were to pitch a food show

969
00:47:53,400 --> 00:47:56,560
Speaker 2: with you two oh yeah, and we can do this

970
00:47:56,640 --> 00:47:57,360
Speaker 2: off the record.

971
00:47:57,440 --> 00:48:00,840
Speaker 1: That's the developer and yeah, such a good TV developers

972
00:48:00,880 --> 00:48:02,080
Speaker 1: like low key, like, let's.

973
00:48:01,880 --> 00:48:03,719
Speaker 5: Pitch a show, dude, that's just me all the time.

974
00:48:04,239 --> 00:48:06,000
Speaker 3: If you guys had a food show, what would it

975
00:48:06,080 --> 00:48:06,480
Speaker 3: be about.

976
00:48:07,040 --> 00:48:08,880
Speaker 5: Let's put it out in the universe. Today is the

977
00:48:08,920 --> 00:48:09,760
Speaker 5: Fullman and Virgo.

978
00:48:09,880 --> 00:48:11,040
Speaker 4: So what would you want to do?

979
00:48:12,080 --> 00:48:13,160
Speaker 5: I want to eat your food?

980
00:48:13,440 --> 00:48:14,439
Speaker 4: Yeah, okay, so.

981
00:48:14,480 --> 00:48:18,319
Speaker 5: I want to eat your food and I want you

982
00:48:18,400 --> 00:48:18,840
Speaker 5: to cook.

983
00:48:19,160 --> 00:48:20,920
Speaker 4: Yeah, and then also make the drinks.

984
00:48:21,200 --> 00:48:23,200
Speaker 5: And yes, I want to be served.

985
00:48:23,400 --> 00:48:31,480
Speaker 4: Okay, that's serve me, serve, serve, serve, serve served.

986
00:48:31,840 --> 00:48:32,080
Speaker 6: Great.

987
00:48:32,520 --> 00:48:35,000
Speaker 1: I want to thank you both so so much, honestly

988
00:48:35,040 --> 00:48:36,120
Speaker 1: for taking the time today.

989
00:48:36,520 --> 00:48:37,640
Speaker 3: Best double date this.

990
00:48:37,680 --> 00:48:39,880
Speaker 2: Is thank you so much for Saron Wells.

991
00:48:40,320 --> 00:48:44,640
Speaker 1: You guys are amazing, and Flaky Biscuit is entirely internally

992
00:48:44,680 --> 00:48:46,560
Speaker 1: eternally eternally thankful.

993
00:48:46,400 --> 00:48:48,160
Speaker 3: Yes, and entirely drunk.

994
00:48:49,800 --> 00:48:59,879
Speaker 7: Thanks for coming to Flaky Biscuit, Nick, I think we're done, dank.

995
00:49:00,000 --> 00:49:03,920
Speaker 1: Thank y'all so much for listening to this wild episode.

996
00:49:04,360 --> 00:49:07,319
Speaker 1: We had an absolute blast on this double date. We

997
00:49:07,400 --> 00:49:10,919
Speaker 1: had some of that good Monterey red wine to pair

998
00:49:11,440 --> 00:49:15,200
Speaker 1: with the truffle risotto and steak and shrimp tacos and

999
00:49:15,280 --> 00:49:18,080
Speaker 1: the recipe. That recipe's on shannaland dot com. And I

1000
00:49:18,120 --> 00:49:21,040
Speaker 1: really want y'all to live large, be luxurious, invite some

1001
00:49:21,080 --> 00:49:24,000
Speaker 1: friends over or have a double date and cook this recipe.

1002
00:49:24,520 --> 00:49:27,640
Speaker 1: Make sure you tag us, of course, me Artist and Brian,

1003
00:49:28,040 --> 00:49:29,520
Speaker 1: but go ahead and tag Sara Hiland.

1004
00:49:29,560 --> 00:49:32,240
Speaker 3: You know what I'm saying. Tag Wells Adams, post.

1005
00:49:32,040 --> 00:49:34,879
Speaker 1: Your photos, post your videos, let us know how you did,

1006
00:49:35,360 --> 00:49:37,080
Speaker 1: and trust me, you won't be disappointed.

1007
00:49:37,320 --> 00:49:39,680
Speaker 6: If you cook your risotto in the microwave, it's all good.

1008
00:49:40,040 --> 00:49:42,240
Speaker 3: Don't forget to check out the George Lopez Foundation.

1009
00:49:42,640 --> 00:49:46,880
Speaker 1: No Kid Hungry, the ASPCA, and the Nashville Human Society.

1010
00:49:47,120 --> 00:49:49,480
Speaker 1: You can find their websites and the handles I mentioned

1011
00:49:49,520 --> 00:49:53,640
Speaker 1: in the show notes for this episode. If you like

1012
00:49:53,719 --> 00:49:57,920
Speaker 1: Flaky Biscuit, rate it, review it five stars, ten stars.

1013
00:49:58,000 --> 00:50:01,080
Speaker 1: All Right, this is the best food podcast ever. Make

1014
00:50:01,120 --> 00:50:03,799
Speaker 1: sure that you let everyone know that. Flaky Biscuit is

1015
00:50:03,840 --> 00:50:08,960
Speaker 1: executive produced by Sandy Bailey, Alex Alcea, Lauren Homan, Tyler Klang,

1016
00:50:09,239 --> 00:50:13,200
Speaker 1: and Gabrielle Collins. Our creative producer is Bridget Kenna, and

1017
00:50:13,280 --> 00:50:16,640
Speaker 1: our editor and producer is Nicholas Harder, with music by Crucial.

1018
00:50:16,920 --> 00:50:18,800
Speaker 6: Recipes from Flaky Biscuit.

1019
00:50:18,440 --> 00:50:21,920
Speaker 1: Can be found each week on shondaland dot com. Subscribe

1020
00:50:21,960 --> 00:50:25,080
Speaker 1: to the Shondaland YouTube channel for more Flaky Biscuit content.

1021
00:50:26,760 --> 00:50:30,040
Speaker 1: Flaky Biscuit is a production of Shondaland Audio in partnership

1022
00:50:30,040 --> 00:50:33,960
Speaker 1: with iHeartRadio. For more podcasts from Shondaland Audio, visit the

1023
00:50:34,000 --> 00:50:37,799
Speaker 1: iHeartRadio app, Apple Podcasts, or wherever you listen to your

1024
00:50:37,840 --> 00:50:38,480
Speaker 1: favorite shows.