1
00:00:02,520 --> 00:00:05,640
Speaker 1: So I walked out on the balcony yesterday and Eddie

2
00:00:05,640 --> 00:00:07,640
Speaker 1: was cooking hot dogs and I was like, dude, I

3
00:00:07,720 --> 00:00:09,600
Speaker 1: have not enough. Then I realized what he was doing.

4
00:00:09,600 --> 00:00:11,039
Speaker 1: He was cooking them all to go pass him out

5
00:00:11,080 --> 00:00:11,959
Speaker 1: because we had so many.

6
00:00:12,039 --> 00:00:12,960
Speaker 2: Oh yes, so many.

7
00:00:13,039 --> 00:00:13,680
Speaker 1: I did eat one.

8
00:00:13,880 --> 00:00:14,600
Speaker 3: Yeah it's pretty good.

9
00:00:14,680 --> 00:00:15,640
Speaker 1: Huh hot dog.

10
00:00:15,680 --> 00:00:16,720
Speaker 3: You had one of the jumbos.

11
00:00:16,800 --> 00:00:18,439
Speaker 1: I like hot dogs. I felt like when I ate

12
00:00:18,440 --> 00:00:19,960
Speaker 1: that jumbo, I could have fit sixty nine more and

13
00:00:20,000 --> 00:00:20,760
Speaker 1: they're pretty easily.

14
00:00:21,440 --> 00:00:22,040
Speaker 4: I bet you did.

15
00:00:22,200 --> 00:00:25,000
Speaker 1: Yeah, so I would you went around yesterday afterward?

16
00:00:25,200 --> 00:00:26,880
Speaker 3: Yeah? Well, I mean first I kind of sent an

17
00:00:26,920 --> 00:00:28,840
Speaker 3: email out to everyone at work, like does anyone want

18
00:00:28,840 --> 00:00:32,199
Speaker 3: hot dogs? And no one showed up? Like you had

19
00:00:32,200 --> 00:00:32,800
Speaker 3: a hot dog.

20
00:00:32,960 --> 00:00:34,879
Speaker 1: I didn't know you. I just saw you cooking them.

21
00:00:34,680 --> 00:00:37,080
Speaker 3: I ye, you smell it.

22
00:00:37,880 --> 00:00:38,840
Speaker 1: I love hot dogs.

23
00:00:38,840 --> 00:00:40,680
Speaker 3: You're like, who is that on Looney Tune Semester? The

24
00:00:40,720 --> 00:00:43,640
Speaker 3: cat it smells the he smells the smoke. Is that

25
00:00:43,680 --> 00:00:45,640
Speaker 3: what it is? Yeah, like one of the characters or whatever.

26
00:00:45,720 --> 00:00:48,479
Speaker 3: But you showed up, and then lunch Box showed up

27
00:00:48,520 --> 00:00:51,760
Speaker 3: for a second scuba. But then that was it. Everybody

28
00:00:51,800 --> 00:00:54,040
Speaker 3: eat one? Dude? Three people?

29
00:00:54,200 --> 00:00:54,240
Speaker 1: Ate?

30
00:00:54,920 --> 00:00:55,640
Speaker 4: What'd you do?

31
00:00:55,720 --> 00:00:58,080
Speaker 3: So then I wrapped him up and in foil, and

32
00:00:58,160 --> 00:01:01,520
Speaker 3: I went around town just gave him to people, construction workers,

33
00:01:01,560 --> 00:01:04,440
Speaker 3: homeless people, people just visiting from out of town. You

34
00:01:04,440 --> 00:01:05,920
Speaker 3: guys want a hot dog? Boom?

35
00:01:06,080 --> 00:01:09,600
Speaker 5: He didn't drop one off the balcony, yelling enough people down.

36
00:01:09,200 --> 00:01:10,200
Speaker 1: To a person that wanted it.

37
00:01:10,240 --> 00:01:11,600
Speaker 3: You know, there was a guy down there. I was like, hey, man,

38
00:01:11,640 --> 00:01:13,680
Speaker 3: you want a hot dog? He's like, yeah, sure, through

39
00:01:13,720 --> 00:01:15,640
Speaker 3: it did he catch it? He let it fall and

40
00:01:15,680 --> 00:01:17,720
Speaker 3: then he ate it? Okay, Oh it was rap. It

41
00:01:17,720 --> 00:01:20,880
Speaker 3: was wrapped and foil though, so so no hot dogs wasted.

42
00:01:21,200 --> 00:01:25,640
Speaker 1: Here is the draft results from yesterday's draft. Awesome things

43
00:01:25,640 --> 00:01:29,760
Speaker 1: that start with the letter M and so things like

44
00:01:30,000 --> 00:01:33,880
Speaker 1: Mexican food, mother's money.

45
00:01:34,160 --> 00:01:36,479
Speaker 3: I had America America.

46
00:01:37,120 --> 00:01:40,319
Speaker 1: Yeah, if it started with M and we drafted it

47
00:01:41,800 --> 00:01:43,360
Speaker 1: first place yesterday went to Morgan.

48
00:01:45,360 --> 00:01:45,920
Speaker 3: Was awesome though.

49
00:01:47,400 --> 00:01:50,800
Speaker 1: Did you have the first pick overall? No movies, music

50
00:01:50,840 --> 00:01:52,760
Speaker 1: and muffins? Who had the first pick overall? Ry?

51
00:01:53,320 --> 00:01:53,559
Speaker 3: Yeah?

52
00:01:53,560 --> 00:01:59,520
Speaker 1: He put and Ray finished second, mom McDonald's and Midwest?

53
00:02:03,760 --> 00:02:05,000
Speaker 1: What everybody nervous?

54
00:02:05,000 --> 00:02:07,280
Speaker 3: May I finish the last? Yes? Keep reading? What happened?

55
00:02:08,160 --> 00:02:08,960
Speaker 5: You just stopped like?

56
00:02:09,040 --> 00:02:15,360
Speaker 1: Uh uh so you YouTube were far above everybody else,

57
00:02:15,760 --> 00:02:19,079
Speaker 1: and then us three kind of struggled for scraps. Lunchbox

58
00:02:19,080 --> 00:02:22,280
Speaker 1: had money making love of Mexicans that lost. Eddie had

59
00:02:22,320 --> 00:02:26,360
Speaker 1: mac and cheese, America and marriage, and I had Mexican food,

60
00:02:26,400 --> 00:02:29,639
Speaker 1: Morgan and monkeys. Which do you think lost?

61
00:02:30,520 --> 00:02:33,120
Speaker 3: Uh, Lunchboxes because it's just so dumb.

62
00:02:34,400 --> 00:02:36,920
Speaker 5: I would say your pick of Morgan was probably not

63
00:02:37,000 --> 00:02:37,960
Speaker 5: very strong.

64
00:02:37,919 --> 00:02:39,480
Speaker 1: And that we correct. My pick a Morgan was not

65
00:02:39,560 --> 00:02:40,000
Speaker 1: very strong.

66
00:02:40,400 --> 00:02:42,440
Speaker 4: I don't think it was. I think monkeys.

67
00:02:42,600 --> 00:02:45,799
Speaker 1: No, do you like better? Monkeys? Are Morgan? Monkeys?

68
00:02:46,560 --> 00:02:46,840
Speaker 3: Okay?

69
00:02:46,880 --> 00:02:47,320
Speaker 6: You three?

70
00:02:47,480 --> 00:02:47,760
Speaker 3: All right?

71
00:02:47,880 --> 00:02:49,280
Speaker 1: I lost? I finished last.

72
00:02:49,639 --> 00:02:50,080
Speaker 3: That hurts.

73
00:02:50,080 --> 00:02:51,000
Speaker 1: I never finished last.

74
00:02:51,000 --> 00:02:53,240
Speaker 3: Did you know what we of course, after it's done,

75
00:02:53,240 --> 00:02:54,720
Speaker 3: you start thinking like, oh, we could have done this,

76
00:02:54,720 --> 00:02:57,280
Speaker 3: and Lunchbox brought it up. Margarita's No one took a

77
00:02:57,400 --> 00:03:00,000
Speaker 3: Margarita home run. Yeah.

78
00:03:00,080 --> 00:03:01,600
Speaker 1: The problem, well, I did pick Mexican food. I would

79
00:03:01,600 --> 00:03:03,959
Speaker 1: have claimed that was Mexican food. Oh good point, Yeah,

80
00:03:04,000 --> 00:03:05,519
Speaker 1: that would go in the Mexican I think we said

81
00:03:05,560 --> 00:03:08,840
Speaker 1: that maybe in the clip and like Margarita in the throwback,

82
00:03:08,960 --> 00:03:11,639
Speaker 1: like we missed this and I said, what's Mexican food?

83
00:03:11,639 --> 00:03:14,519
Speaker 1: And then you guys, it's yeah, it's different definitely. I

84
00:03:14,560 --> 00:03:16,120
Speaker 1: would claim it's Mexican if you can you get it

85
00:03:16,120 --> 00:03:17,360
Speaker 1: a Mexican restaurant.

86
00:03:17,120 --> 00:03:20,040
Speaker 4: Yes, you can get it anywhere, but you can also get.

87
00:03:19,880 --> 00:03:21,400
Speaker 1: A taco at a place on a Mexican restaurant.

88
00:03:21,440 --> 00:03:23,560
Speaker 5: So beer you is a Mexican.

89
00:03:23,480 --> 00:03:25,680
Speaker 1: Margarita specifically Mexican?

90
00:03:25,840 --> 00:03:26,160
Speaker 3: Is it not?

91
00:03:28,080 --> 00:03:30,320
Speaker 1: Is a margarita specifically Mexican? But I don't know. We're

92
00:03:30,360 --> 00:03:33,560
Speaker 1: arguing about this past, but I would argue margarita specifically Mexican.

93
00:03:33,639 --> 00:03:35,480
Speaker 4: So if we said medello beer.

94
00:03:35,520 --> 00:03:38,720
Speaker 3: That's Mexican. But I would say Mexican.

95
00:03:38,840 --> 00:03:39,800
Speaker 4: But I'm saying it starts with.

96
00:03:40,240 --> 00:03:45,240
Speaker 3: Oh right, right, we go Mexican.

97
00:03:45,800 --> 00:03:47,600
Speaker 1: I would have I would have fought margarita made in

98
00:03:47,640 --> 00:03:49,280
Speaker 1: house at a Mexican restaurant.

99
00:03:49,920 --> 00:03:51,920
Speaker 3: What do you think, Mike, that's tough.

100
00:03:52,000 --> 00:03:54,480
Speaker 1: It's not food though, you don't think you drink is food?

101
00:03:55,320 --> 00:03:58,760
Speaker 3: And oh that's what they always say, food and drinks.

102
00:03:58,880 --> 00:04:01,840
Speaker 1: I think drink his food, Like if you're gonna eat dinner,

103
00:04:01,840 --> 00:04:03,080
Speaker 1: I think, and you have a drink with it, that's

104
00:04:03,120 --> 00:04:03,560
Speaker 1: part food.

105
00:04:04,200 --> 00:04:05,920
Speaker 4: Nobody picked Martini.

106
00:04:06,080 --> 00:04:06,800
Speaker 3: And nobody likes me.

107
00:04:06,840 --> 00:04:08,320
Speaker 4: Did anybody pick Italian food though?

108
00:04:08,320 --> 00:04:11,240
Speaker 1: Because then how would we pick Italian food?

109
00:04:11,280 --> 00:04:13,280
Speaker 3: It's eye think, Maria.

110
00:04:14,200 --> 00:04:15,160
Speaker 4: I guess I'm just trying.

111
00:04:15,000 --> 00:04:19,880
Speaker 1: To and everything associated with Uh. So we'll do another

112
00:04:19,920 --> 00:04:24,800
Speaker 1: one next Monday. We'll do bad things, like the worst

113
00:04:24,839 --> 00:04:28,440
Speaker 1: thing whatever. We'll do that, Raymond. I heard about a

114
00:04:28,480 --> 00:04:32,000
Speaker 1: Kitlin Clark rookie card. It sold for how much? Six

115
00:04:32,080 --> 00:04:35,479
Speaker 1: hundred and sixty thousand dollars. It was a rookie card.

116
00:04:35,520 --> 00:04:37,360
Speaker 1: It was a one to one, and then I had

117
00:04:37,400 --> 00:04:39,240
Speaker 1: some people hit me up and they go, hey, I'm

118
00:04:39,279 --> 00:04:42,240
Speaker 1: pretty sure bones has a Kitlin Clark rookie card. You

119
00:04:42,279 --> 00:04:45,080
Speaker 1: need to tell him to sell now. I think that's

120
00:04:45,120 --> 00:04:48,320
Speaker 1: probably a very specific, again, one of one type card.

121
00:04:48,360 --> 00:04:51,960
Speaker 1: I have probably fifteen Caitlin Clark rookie cards. Does any

122
00:04:51,960 --> 00:04:54,120
Speaker 1: of them have an autograph on it? Probably like twelve

123
00:04:54,160 --> 00:04:57,400
Speaker 1: of them do. But this one had a jersey patch

124
00:04:57,480 --> 00:05:00,000
Speaker 1: and the autograph. Yeah, I don't think I have anything

125
00:05:00,200 --> 00:05:02,960
Speaker 1: like this. Oh, that's a flawless Caitlin Clark won on one.

126
00:05:03,080 --> 00:05:06,239
Speaker 1: It's a thick card and she even had an inscription

127
00:05:06,240 --> 00:05:07,839
Speaker 1: on it, seven hundred and six and nine points accounting.

128
00:05:08,279 --> 00:05:10,480
Speaker 1: That's super cool. It's crazy that that card goes for

129
00:05:10,720 --> 00:05:11,719
Speaker 1: over half a million dollars.

130
00:05:11,720 --> 00:05:13,640
Speaker 3: She signed that. Yeah, it's cool.

131
00:05:13,760 --> 00:05:15,560
Speaker 1: I do have some signed Kitlin Clark stuff in a

132
00:05:15,600 --> 00:05:18,599
Speaker 1: safe well. If you think about it, she's getting injured

133
00:05:18,640 --> 00:05:20,479
Speaker 1: a little bit. Maybe now is the time to sell.

134
00:05:22,040 --> 00:05:23,039
Speaker 1: She hasn't played in a while.

135
00:05:23,120 --> 00:05:23,919
Speaker 3: You're right, I.

136
00:05:23,920 --> 00:05:25,960
Speaker 1: Haven't seen her played all this year. Yeah, she played

137
00:05:25,960 --> 00:05:27,160
Speaker 1: a little bit. She was hurt that she came back

138
00:05:27,200 --> 00:05:27,920
Speaker 1: and played a couple of games.

139
00:05:28,080 --> 00:05:31,680
Speaker 3: Dump that thing just in case she has a career

140
00:05:31,800 --> 00:05:32,479
Speaker 3: ending injury.

141
00:05:33,480 --> 00:05:35,680
Speaker 1: He's saying, sell now while it's at its highest still,

142
00:05:35,680 --> 00:05:37,360
Speaker 1: because it may go down. I don't think it'll go down,

143
00:05:38,120 --> 00:05:39,800
Speaker 1: but I appreciate that. Thanks for the heads up. They're

144
00:05:39,839 --> 00:05:42,400
Speaker 1: putting three players on her, tripping her, pushing her to

145
00:05:42,440 --> 00:05:42,960
Speaker 1: the ground.

146
00:05:43,040 --> 00:05:46,440
Speaker 3: That's true. They are doing that, all true. I appreciate that.

147
00:05:46,440 --> 00:05:48,840
Speaker 3: Thank you by the heads up tripping her.

148
00:05:50,240 --> 00:05:52,520
Speaker 1: This is the Bobby Bones silk.

149
00:05:52,680 --> 00:05:53,200
Speaker 3: That's cool.

150
00:05:53,480 --> 00:05:56,479
Speaker 1: The cheating couple from the Coldplay concert that were on

151
00:05:56,520 --> 00:05:59,920
Speaker 1: the camera. There's the dude. He's the former astronomer CEO

152
00:06:00,080 --> 00:06:02,559
Speaker 1: Andy Byron. He is rumored to be preparing a suit

153
00:06:02,640 --> 00:06:06,800
Speaker 1: to sue Coleplay over them being on the camera at

154
00:06:06,839 --> 00:06:10,800
Speaker 1: Gillette Stadium with the show. Legal Insider suggest that Brian

155
00:06:11,240 --> 00:06:14,839
Speaker 1: by the way his name is spelled. That's his lat Andy, Brian,

156
00:06:14,920 --> 00:06:16,800
Speaker 1: that's right, b r yo n. That'd be Brian, not

157
00:06:16,880 --> 00:06:19,200
Speaker 1: Brian whatever. I don't want to get sued. I want

158
00:06:19,240 --> 00:06:22,080
Speaker 1: to make her to say it right. Blames Coldplay frontman

159
00:06:22,200 --> 00:06:25,400
Speaker 1: Chris Martin for the public drama, particularly for his on

160
00:06:25,480 --> 00:06:30,400
Speaker 1: stage remark implying an affair. There's no chance he wins this.

161
00:06:30,480 --> 00:06:34,000
Speaker 1: You don't go to a concert in public, stand at

162
00:06:34,040 --> 00:06:37,000
Speaker 1: a show in public where people around you could have

163
00:06:37,000 --> 00:06:39,400
Speaker 1: also taken a picture of you doing that. There is

164
00:06:39,480 --> 00:06:43,760
Speaker 1: no chance this guy's grasping at straws. Byron and Cabot,

165
00:06:43,760 --> 00:06:46,280
Speaker 1: the couple involved in the incident, have resigned from Astronomer,

166
00:06:46,440 --> 00:06:49,600
Speaker 1: with no official lawsuit being filed, yet fans continue to

167
00:06:49,600 --> 00:06:52,120
Speaker 1: speculate about situation. She also is.

168
00:06:52,279 --> 00:06:57,159
Speaker 3: Out as well. Now I believe the HR. Yeah, the job,

169
00:06:57,600 --> 00:06:59,279
Speaker 3: she's out too, but there.

170
00:06:59,200 --> 00:07:02,279
Speaker 4: Is no very difficult for her to stay ahead of HR.

171
00:07:02,440 --> 00:07:04,560
Speaker 1: I'm saying there's no chance he wins this lawsuit. No

172
00:07:04,680 --> 00:07:08,400
Speaker 1: chance because again, you're in a public place, you're cheating

173
00:07:08,440 --> 00:07:10,960
Speaker 1: in a public place, and you're mad that you are

174
00:07:11,080 --> 00:07:16,080
Speaker 1: publicly shown in a public place. In baseball, if you

175
00:07:16,120 --> 00:07:17,440
Speaker 1: get hit with the foul ball. It's usually on the

176
00:07:17,440 --> 00:07:19,760
Speaker 1: ticket or one of the things you have to click

177
00:07:19,800 --> 00:07:21,840
Speaker 1: if the digital ticket, meaning you're in the park, you

178
00:07:21,840 --> 00:07:23,520
Speaker 1: get hit with the ball, you're not going to sue.

179
00:07:24,120 --> 00:07:26,440
Speaker 1: They may take you to the doctor, but you can't sue.

180
00:07:26,800 --> 00:07:29,160
Speaker 1: You go to a concert and you get caught doing anything,

181
00:07:29,200 --> 00:07:31,080
Speaker 1: you're not gonna sue. You're not gonna win.

182
00:07:31,440 --> 00:07:31,920
Speaker 3: So there's that.

183
00:07:31,960 --> 00:07:33,720
Speaker 1: I did see the story that Tampa hit one hundred

184
00:07:33,760 --> 00:07:36,960
Speaker 1: for the first time ever, and blows my mind. Tampa's

185
00:07:36,960 --> 00:07:37,840
Speaker 1: never been one hundred degrees.

186
00:07:38,040 --> 00:07:39,040
Speaker 4: Now, that's shocking to me.

187
00:07:39,840 --> 00:07:43,440
Speaker 1: I guess there's only a few cities left in America.

188
00:07:43,480 --> 00:07:45,840
Speaker 1: I think there are three left that have not hit

189
00:07:45,840 --> 00:07:48,560
Speaker 1: one hundred degrees. H you, oh, you want to see

190
00:07:48,560 --> 00:07:49,280
Speaker 1: if you can guess them.

191
00:07:49,640 --> 00:07:50,200
Speaker 4: Let's see.

192
00:07:50,400 --> 00:07:52,360
Speaker 1: For the first time on record, Tampa reached the temperature

193
00:07:52,400 --> 00:07:55,720
Speaker 1: of one hundred degrees on Sunday, and the airport is

194
00:07:55,760 --> 00:07:58,240
Speaker 1: their official reporting site. It's crazy, Tampa's never been one

195
00:07:58,280 --> 00:08:01,040
Speaker 1: hundred degrees. But also, yeah, of course it's getting hard.

196
00:08:01,440 --> 00:08:05,360
Speaker 4: Nantucket, that's a good guess. I've never been there, but

197
00:08:05,560 --> 00:08:06,920
Speaker 4: it seems like it doesn't get to it.

198
00:08:07,280 --> 00:08:14,560
Speaker 1: There was a woman from there, though. No Buffalo that's right,

199
00:08:15,600 --> 00:08:19,240
Speaker 1: that's right. Wow, yes, that's one of them. That's Can

200
00:08:19,280 --> 00:08:23,200
Speaker 1: you name the other two? Portland Nope, only two other

201
00:08:23,440 --> 00:08:25,440
Speaker 1: cities in the United States have not been one hundred degrees.

202
00:08:26,920 --> 00:08:31,600
Speaker 3: Okay, mom talk good job on Buffalo. Well you know

203
00:08:31,640 --> 00:08:33,439
Speaker 3: it just got cold. It's always snow in there.

204
00:08:33,520 --> 00:08:36,240
Speaker 1: The other two, I think, And now these are city,

205
00:08:36,280 --> 00:08:38,320
Speaker 1: actual cities. I think it's like population over one hundred

206
00:08:38,320 --> 00:08:40,040
Speaker 1: and fifty thousand or something like that. So it's not

207
00:08:40,080 --> 00:08:43,160
Speaker 1: Mountain Pine, Arkansas population seven seventy seven, although we've been

208
00:08:43,160 --> 00:08:46,319
Speaker 1: over one hundred, so it's not like that. So actual cities.

209
00:08:48,440 --> 00:08:50,120
Speaker 1: I bet if you think hard you can get it.

210
00:08:50,520 --> 00:08:52,679
Speaker 4: That's what I'm doing right now, and thinking no, think harder.

211
00:08:52,559 --> 00:08:54,600
Speaker 1: No, none, I think even harder.

212
00:08:54,800 --> 00:08:57,320
Speaker 4: Nantucket was the best I had. And go even more north,

213
00:08:58,000 --> 00:08:58,960
Speaker 4: even more north.

214
00:08:58,880 --> 00:09:03,720
Speaker 1: Even more north. So looking at upstate New York, even

215
00:09:03,760 --> 00:09:07,480
Speaker 1: more north, Dack Mountains, even more north, John Denver, Now,

216
00:09:07,520 --> 00:09:08,920
Speaker 1: where is that?

217
00:09:08,920 --> 00:09:14,679
Speaker 4: That's upstate New York? What is above that? I don't know.

218
00:09:15,080 --> 00:09:21,439
Speaker 1: Go north, go north to north, No, go north to northeast.

219
00:09:22,160 --> 00:09:26,640
Speaker 3: Yeah, I got it. Or north Anchorage that's correct, north

220
00:09:26,679 --> 00:09:30,520
Speaker 3: to Alaska, yes, And then there's one more so like.

221
00:09:33,920 --> 00:09:37,319
Speaker 4: Maybe somewhere. So we went, uh, Buffalo, and then we

222
00:09:37,400 --> 00:09:40,559
Speaker 4: got Anchorage, so maybe something in the middle.

223
00:09:41,720 --> 00:09:43,040
Speaker 3: Or maybe something else in Alaska.

224
00:09:43,360 --> 00:09:44,959
Speaker 1: It's crazy. Tampa's never been one hundred.

225
00:09:44,960 --> 00:09:45,920
Speaker 3: I'll say it gets crazy.

226
00:09:45,960 --> 00:09:50,200
Speaker 1: It's bizarre that Florida Tampa, Florida's never been a hundred degrees.

227
00:09:50,200 --> 00:09:52,440
Speaker 3: I feel like it's always one hundred in Tampa.

228
00:09:52,559 --> 00:09:56,160
Speaker 4: I mean that probably the humidity feels warmer than it is.

229
00:09:57,080 --> 00:09:59,160
Speaker 2: I don't know. I give up on this game.

230
00:09:59,320 --> 00:10:02,120
Speaker 1: It's a place that you think would be hot really

231
00:10:02,679 --> 00:10:07,480
Speaker 1: is called like it's very much Tampa feeling as far

232
00:10:07,520 --> 00:10:09,360
Speaker 1: as you'd be surprised it never hit one hundred.

233
00:10:10,080 --> 00:10:10,440
Speaker 3: I don't know.

234
00:10:10,440 --> 00:10:12,520
Speaker 1: If you've ever been you might have been there. I've

235
00:10:12,520 --> 00:10:15,480
Speaker 1: been there. San Diego, Nope, it's a it's a long.

236
00:10:15,280 --> 00:10:21,679
Speaker 3: Flight from here. This this it's West coast. Oh oh, Hawaii, yeah,

237
00:10:21,720 --> 00:10:22,319
Speaker 3: no way.

238
00:10:23,920 --> 00:10:27,719
Speaker 4: Hundred oh yeah, Aloha. I've been there.

239
00:10:31,480 --> 00:10:33,800
Speaker 1: You guys can call us by the way, we're here.

240
00:10:33,840 --> 00:10:37,480
Speaker 1: We're ready for you. Eight seven seven seventy seven Bobby

241
00:10:37,640 --> 00:10:42,440
Speaker 1: eight seven seven seventy seven Bobby. A couple of things

242
00:10:42,440 --> 00:10:46,720
Speaker 1: from yesterday. One Deon Sanders, football player coach of Colorado

243
00:10:47,080 --> 00:10:49,200
Speaker 1: he had bladder cancer. They had to remove his bladder.

244
00:10:49,559 --> 00:10:53,440
Speaker 1: He's back, but they had to take it. I believe

245
00:10:53,480 --> 00:10:56,720
Speaker 1: they have put in a fake bladder. And he did

246
00:10:56,720 --> 00:10:58,200
Speaker 1: say anyth about his kids din't even know he's going

247
00:10:58,240 --> 00:10:58,520
Speaker 1: through it.

248
00:10:58,679 --> 00:11:01,840
Speaker 2: Interesting, so I had no idea.

249
00:11:01,880 --> 00:11:04,079
Speaker 1: I didn't they thought he was stepping down. But he

250
00:11:04,280 --> 00:11:06,520
Speaker 1: had a press conference yesterday to say, hey, we're gonna

251
00:11:06,760 --> 00:11:07,880
Speaker 1: talk about some medical stuff.

252
00:11:07,880 --> 00:11:09,040
Speaker 3: And he's had other issues.

253
00:11:09,080 --> 00:11:12,559
Speaker 1: But he had bladder cancer and fought it and has

254
00:11:13,520 --> 00:11:16,800
Speaker 1: no he's cancer free from what I read. So he

255
00:11:16,800 --> 00:11:19,440
Speaker 1: did say he depends on depends. Now I saw that.

256
00:11:19,440 --> 00:11:20,240
Speaker 3: That's pretty funny.

257
00:11:20,320 --> 00:11:21,240
Speaker 1: Yeah, so good for him.

258
00:11:21,320 --> 00:11:24,120
Speaker 4: Maybe he'd be a great face for that.

259
00:11:25,320 --> 00:11:28,600
Speaker 1: Also, one of my childhood he rose, Ryan Samberg died

260
00:11:28,640 --> 00:11:31,920
Speaker 1: last night. He had cancer and he went through the

261
00:11:31,960 --> 00:11:33,640
Speaker 1: battle and thought he was on the other side and

262
00:11:33,720 --> 00:11:36,040
Speaker 1: it came back and got him and he died last night.

263
00:11:36,080 --> 00:11:38,840
Speaker 1: I saw the message pop up from the Chicago Cubs,

264
00:11:39,440 --> 00:11:41,520
Speaker 1: and so because I followed him, my favorite team, but

265
00:11:41,559 --> 00:11:44,240
Speaker 1: he was you know, growing up it was Mark Grace

266
00:11:44,280 --> 00:11:46,320
Speaker 1: and Ryan Samberg, Andre Dauwsin, those are like my favorite

267
00:11:46,360 --> 00:11:48,880
Speaker 1: players and him and I DMed a little bit because

268
00:11:48,880 --> 00:11:51,040
Speaker 1: he was an American Idol fan. Oh wow, that's crazy,

269
00:11:51,040 --> 00:11:53,040
Speaker 1: and the fact that, oh yeah, when he messaged me,

270
00:11:53,080 --> 00:11:54,720
Speaker 1: I was like, this is the craziest thing ever because

271
00:11:54,720 --> 00:11:57,200
Speaker 1: I was such a fan growing up. But yeah, really

272
00:11:57,200 --> 00:11:59,800
Speaker 1: sad to see. I didn't know him personally other than

273
00:11:59,800 --> 00:12:02,000
Speaker 1: a couple dms, but I felt like I did because

274
00:12:02,000 --> 00:12:04,840
Speaker 1: as a kid, like he was a hero to me

275
00:12:05,040 --> 00:12:08,200
Speaker 1: because I watched the Cups play well every day because

276
00:12:08,200 --> 00:12:10,440
Speaker 1: they have only been day games back then. But role

277
00:12:10,520 --> 00:12:14,280
Speaker 1: Ryan Samberg died at sixty five years old, so so young.

278
00:12:14,559 --> 00:12:14,839
Speaker 3: Yeah.

279
00:12:14,920 --> 00:12:16,400
Speaker 1: I do want to play this song though, because I

280
00:12:16,440 --> 00:12:18,840
Speaker 1: think the lyrics are so funny and I think the

281
00:12:18,880 --> 00:12:22,320
Speaker 1: song is so good. But this is Tyler Childers and

282
00:12:22,360 --> 00:12:25,000
Speaker 1: this is called Biden List. It's new and you're gonna

283
00:12:25,000 --> 00:12:27,559
Speaker 1: hear the chorus start at the very beginning. But this

284
00:12:27,600 --> 00:12:30,080
Speaker 1: is These are the lyrics to the song. To put

285
00:12:30,120 --> 00:12:32,840
Speaker 1: it playing. I don't like you, not a thing about

286
00:12:32,840 --> 00:12:35,319
Speaker 1: the way you is. And if you ever come time,

287
00:12:35,520 --> 00:12:41,880
Speaker 1: I got rabies, you're high on a biting list. Yeah,

288
00:12:42,000 --> 00:12:45,240
Speaker 1: I love it. I told you I was on Zach

289
00:12:45,360 --> 00:12:50,760
Speaker 1: Brown's ex wife's algorithm. She just pops up. I don't

290
00:12:50,760 --> 00:12:53,160
Speaker 1: know where I never met her. But she's always talking

291
00:12:53,160 --> 00:12:55,439
Speaker 1: about how she's in a lawsuit with Zach, and I

292
00:12:55,600 --> 00:12:58,320
Speaker 1: watch them and like, I'm a little more interested than

293
00:12:58,320 --> 00:13:00,960
Speaker 1: I should be. And she posted this morning or maybe

294
00:13:01,040 --> 00:13:01,640
Speaker 1: his last night.

295
00:13:02,840 --> 00:13:03,760
Speaker 3: Did you see it? Do you see it?

296
00:13:03,880 --> 00:13:06,440
Speaker 4: No? But I'm very interested as well, So if you

297
00:13:06,440 --> 00:13:07,240
Speaker 4: could do me a favor.

298
00:13:07,400 --> 00:13:08,559
Speaker 3: Okay, he got it.

299
00:13:08,559 --> 00:13:10,240
Speaker 1: It says, every day I wake up to some carefully

300
00:13:10,240 --> 00:13:13,920
Speaker 1: crafted pr story highlighting the perfect love story. Yet I'm

301
00:13:13,960 --> 00:13:15,600
Speaker 1: still being buried in legal fees and told that if

302
00:13:15,600 --> 00:13:17,120
Speaker 1: I try to tell my side of the story that

303
00:13:17,200 --> 00:13:19,640
Speaker 1: somehow I'm in the wrong. So today, after I listened

304
00:13:19,640 --> 00:13:22,439
Speaker 1: to the Morning Meditation, the Smallest Man who Ever lived

305
00:13:22,640 --> 00:13:24,480
Speaker 1: came on and I was bitten by the creative bug,

306
00:13:24,559 --> 00:13:27,840
Speaker 1: which is Taylor Swift. That song and she posts pictures

307
00:13:28,920 --> 00:13:31,800
Speaker 1: of Zach with her and then Zach with Kendra, and

308
00:13:31,880 --> 00:13:34,760
Speaker 1: all of them are exactly the same picture. The first

309
00:13:34,800 --> 00:13:37,559
Speaker 1: one is like Zach Brown playing guitar next to her

310
00:13:37,720 --> 00:13:39,439
Speaker 1: on a beach, and one next to Kendra.

311
00:13:39,559 --> 00:13:40,199
Speaker 3: Same shot.

312
00:13:40,559 --> 00:13:44,840
Speaker 1: The next one is them fishing holding oh one on

313
00:13:44,880 --> 00:13:45,560
Speaker 1: the top of the other.

314
00:13:46,040 --> 00:13:46,439
Speaker 4: Second.

315
00:13:46,559 --> 00:13:50,840
Speaker 1: Oh wow, these are his activities, same exact picture that

316
00:13:50,880 --> 00:13:53,680
Speaker 1: he posted. The next one is at an award show,

317
00:13:55,280 --> 00:13:56,760
Speaker 1: and she put them all beside her. The next one

318
00:13:56,800 --> 00:13:59,400
Speaker 1: is her putting her hand in the Zach Brown before

319
00:13:59,480 --> 00:14:02,200
Speaker 1: pre stage and then his Zach Brown's new They're not

320
00:14:02,240 --> 00:14:06,120
Speaker 1: married right not yet? Such same exact picture. Oh wow,

321
00:14:06,800 --> 00:14:08,360
Speaker 1: it's like you just take one girl out and put

322
00:14:08,400 --> 00:14:11,520
Speaker 1: the other one in. The next one driving chess on

323
00:14:11,559 --> 00:14:12,880
Speaker 1: the cheek, exact same picture.

324
00:14:13,840 --> 00:14:15,600
Speaker 4: Okay, that's crazy.

325
00:14:16,400 --> 00:14:17,760
Speaker 1: The next one and then she goes into the thing

326
00:14:17,760 --> 00:14:21,400
Speaker 1: about the rings and the size of the rings. Uh,

327
00:14:21,440 --> 00:14:25,440
Speaker 1: here's one, Like it's there's like ten of these pictures.

328
00:14:25,520 --> 00:14:26,760
Speaker 3: Has she always been vocal?

329
00:14:26,840 --> 00:14:27,720
Speaker 1: Like, I have no idea.

330
00:14:27,720 --> 00:14:29,440
Speaker 3: I don't know her. I don't know if she's crazy.

331
00:14:29,480 --> 00:14:31,000
Speaker 1: I don't know if she's normal. I don't know who's crazy,

332
00:14:31,040 --> 00:14:34,640
Speaker 1: who's normal. All I know is there's a crazy Instagram

333
00:14:34,640 --> 00:14:36,800
Speaker 1: post because it's all the pictures of her with Zach

334
00:14:37,240 --> 00:14:39,600
Speaker 1: Brown and all the pictures of Zac Brown's new field

335
00:14:39,760 --> 00:14:40,760
Speaker 1: the exact same picture.

336
00:14:40,760 --> 00:14:41,040
Speaker 3: Weird.

337
00:14:41,120 --> 00:14:43,080
Speaker 4: Yeah, so I guess a lot of people that follow

338
00:14:43,080 --> 00:14:47,080
Speaker 4: it really really closely, that have the ex wife's back, like,

339
00:14:47,120 --> 00:14:49,880
Speaker 4: because if you look like if people magazine or people

340
00:14:49,920 --> 00:14:52,920
Speaker 4: on Instagram posted a picture about his engagement, if you

341
00:14:53,000 --> 00:14:55,960
Speaker 4: go to the comments, they're all like what your ex

342
00:14:56,000 --> 00:14:59,280
Speaker 4: wife like, they're all backing the ex wife and slamming him,

343
00:14:59,560 --> 00:15:02,560
Speaker 4: and so it's made me want to figure out, not

344
00:15:02,600 --> 00:15:05,400
Speaker 4: like I really care, but it is interesting, like what's

345
00:15:05,440 --> 00:15:06,720
Speaker 4: going on behind the scenes.

346
00:15:06,960 --> 00:15:10,000
Speaker 3: I'm a little confused because like, is this the first

347
00:15:10,080 --> 00:15:11,320
Speaker 3: how many times has he been doing.

348
00:15:11,320 --> 00:15:15,520
Speaker 4: I don't know, this is the latest one. Okay, she's

349
00:15:15,560 --> 00:15:16,440
Speaker 4: been married more time.

350
00:15:16,680 --> 00:15:17,840
Speaker 1: He's been married twice.

351
00:15:17,680 --> 00:15:18,080
Speaker 3: Got it.

352
00:15:18,160 --> 00:15:22,120
Speaker 1: Okay, so she's the second wife. I don't know, don't

353
00:15:22,240 --> 00:15:23,440
Speaker 1: I don't know who's crazy who's not.

354
00:15:23,560 --> 00:15:25,760
Speaker 3: And you know what, everybody's probably a little crazy crazy.

355
00:15:25,760 --> 00:15:28,040
Speaker 4: I tried crazy, I know, and I feel I'm like,

356
00:15:28,200 --> 00:15:30,120
Speaker 4: this is none of my business, but.

357
00:15:30,080 --> 00:15:33,800
Speaker 1: Then it's put on social media. Zach Brown was married

358
00:15:33,800 --> 00:15:35,480
Speaker 1: to his first wife, Shelly, for twelve years, before they

359
00:15:35,560 --> 00:15:38,920
Speaker 1: divorced in twenty eighteen. He then married actress and model

360
00:15:39,040 --> 00:15:41,640
Speaker 1: Kelly Yazdy. Well, if she's an actress in a model

361
00:15:41,680 --> 00:15:43,160
Speaker 1: there's a little looney tune there, because you have to

362
00:15:43,160 --> 00:15:44,560
Speaker 1: be that kind of looney tune to do that kind

363
00:15:44,560 --> 00:15:44,840
Speaker 1: of job.

364
00:15:44,880 --> 00:15:46,200
Speaker 3: Okay, so we're talking about that one.

365
00:15:46,400 --> 00:15:48,600
Speaker 1: Yeah, yeah, I mean that's a job that you only do.

366
00:15:48,640 --> 00:15:49,920
Speaker 1: It's like this job. I got to be a little

367
00:15:49,920 --> 00:15:52,240
Speaker 1: looney tune to do this. There's a there's a looney

368
00:15:52,280 --> 00:15:54,360
Speaker 1: tune factor in you that makes you do something creative.

369
00:15:54,720 --> 00:15:57,920
Speaker 1: So yeah, I think they're probably both just looney tunes.

370
00:15:59,520 --> 00:16:00,960
Speaker 3: And what do you get when you match it?

371
00:16:01,000 --> 00:16:03,720
Speaker 4: And I like Zach, Yeah, I guess I do feel

372
00:16:04,080 --> 00:16:07,240
Speaker 4: bad if there is truth to that. You know, he

373
00:16:07,360 --> 00:16:09,160
Speaker 4: has more of the money and more of the power

374
00:16:09,200 --> 00:16:12,400
Speaker 4: and she feels silenced and who you know, I hate

375
00:16:12,400 --> 00:16:13,960
Speaker 4: that for her if that's the case.

376
00:16:14,120 --> 00:16:16,640
Speaker 1: If that's the case, we don't know the whole story.

377
00:16:16,720 --> 00:16:18,960
Speaker 1: I just saw the pictures that she was posting, because again,

378
00:16:19,000 --> 00:16:21,160
Speaker 1: I'm apparently her biggest fan, and I get bet everything

379
00:16:21,200 --> 00:16:22,640
Speaker 1: she does through an algorithm.

380
00:16:23,040 --> 00:16:23,400
Speaker 3: I don't what.

381
00:16:23,480 --> 00:16:25,280
Speaker 1: I wouldn't know if she walked in the room. Yet

382
00:16:25,320 --> 00:16:27,880
Speaker 1: I still see all this and it's the exact same

383
00:16:27,920 --> 00:16:29,280
Speaker 1: pictures like to the post.

384
00:16:29,320 --> 00:16:30,680
Speaker 3: It's pretty crazy crazy.

385
00:16:31,000 --> 00:16:32,080
Speaker 1: Yeah, I saw that this morning.

386
00:16:32,240 --> 00:16:34,560
Speaker 4: So where do I go to see that?

387
00:16:33,920 --> 00:16:36,360
Speaker 3: I sure, you just say it out loud.

388
00:16:37,880 --> 00:16:39,160
Speaker 1: I'll just send it to you on DM.

389
00:16:39,400 --> 00:16:41,120
Speaker 4: Perfect. If you send it to me on DM, then

390
00:16:41,160 --> 00:16:42,440
Speaker 4: all it's going to start showing.

391
00:16:42,280 --> 00:16:45,360
Speaker 1: Up on my page in her algorithm in your algorithm.

392
00:16:45,560 --> 00:16:47,640
Speaker 4: Yeah, because other stuff we talk about. I can't remember

393
00:16:47,640 --> 00:16:49,200
Speaker 4: what it is that there's something we talk about on

394
00:16:49,280 --> 00:16:51,760
Speaker 4: here that actually you y'all talking about it. I'm not

395
00:16:51,800 --> 00:16:52,600
Speaker 4: that interested.

396
00:16:52,840 --> 00:16:57,240
Speaker 1: Aliens, do you see the guy that the scientist is like? November?

397
00:16:57,720 --> 00:16:58,120
Speaker 4: November?

398
00:16:58,200 --> 00:16:59,760
Speaker 3: What what's going to happen in November?

399
00:17:00,000 --> 00:17:02,320
Speaker 1: If you listen to the part two of the podcast today,

400
00:17:02,320 --> 00:17:03,800
Speaker 1: we do it. After the show ends, I'll tell you

401
00:17:03,800 --> 00:17:06,640
Speaker 1: about it. I just sent you that Instagram Amy.

402
00:17:06,480 --> 00:17:08,800
Speaker 2: Okay, I'm hitting it up.

403
00:17:09,840 --> 00:17:11,359
Speaker 4: That's your pod, that's your bodycast.

404
00:17:11,520 --> 00:17:15,440
Speaker 1: Oh thank you, yeah, thank you for checking that out.

405
00:17:16,280 --> 00:17:18,080
Speaker 1: Would you want to buy this machine that plays your

406
00:17:18,119 --> 00:17:20,040
Speaker 1: dreams back for you? Oh?

407
00:17:20,119 --> 00:17:22,600
Speaker 2: That'd be kind of cool. Yeah, because I forget them.

408
00:17:23,040 --> 00:17:25,199
Speaker 1: Yeah, I think mostly we do, Yeah, mostly forget our

409
00:17:25,240 --> 00:17:27,560
Speaker 1: dreams unless it just happened. Yeah, and we were in

410
00:17:27,560 --> 00:17:32,520
Speaker 1: that rim state. So aptly is this device. It allows

411
00:17:32,600 --> 00:17:35,840
Speaker 1: users to see visual interpretations of their own dreams by

412
00:17:35,840 --> 00:17:38,080
Speaker 1: harnessing them in the latest technology. See, this is what

413
00:17:38,080 --> 00:17:39,320
Speaker 1: I think would happen, though. I think they would just

414
00:17:39,400 --> 00:17:41,560
Speaker 1: lie because you can't prove they're right or wrong. I

415
00:17:41,560 --> 00:17:43,520
Speaker 1: think this would be a machine you can't prove wrong,

416
00:17:43,760 --> 00:17:45,920
Speaker 1: So they would just make up stuff about you. Also,

417
00:17:45,960 --> 00:17:47,880
Speaker 1: I don't think my dreams mean anything. I'm riding a

418
00:17:47,920 --> 00:17:51,960
Speaker 1: big red dinosaur over China. That means nothing to me.

419
00:17:52,560 --> 00:17:54,760
Speaker 1: My dreams are always so bizarre if I even have them.

420
00:17:55,200 --> 00:17:59,439
Speaker 1: But if you're looking to capture your dreams, the device

421
00:17:59,480 --> 00:18:02,600
Speaker 1: has seven memory slots. You only need to hit the

422
00:18:02,640 --> 00:18:03,879
Speaker 1: record button and then go to sleep.

423
00:18:04,000 --> 00:18:05,800
Speaker 3: Okay, this is so stupid.

424
00:18:06,320 --> 00:18:07,400
Speaker 2: I don't believe it.

425
00:18:08,560 --> 00:18:10,680
Speaker 1: The translation of the dream comes with a catch. You

426
00:18:10,720 --> 00:18:13,440
Speaker 1: can't just buy the dream recorder. You have to build

427
00:18:13,440 --> 00:18:17,840
Speaker 1: it yourself. So it's open source and they give you

428
00:18:17,880 --> 00:18:21,200
Speaker 1: all the materials and they walk you through it. Anyway,

429
00:18:21,200 --> 00:18:22,719
Speaker 1: I don't care about my dreams because I don't think

430
00:18:22,760 --> 00:18:24,600
Speaker 1: they actually mean anything. I think it's just kind of

431
00:18:24,640 --> 00:18:27,560
Speaker 1: a scrape of like eighty things I'm thinking about at once.

432
00:18:28,000 --> 00:18:30,119
Speaker 1: I'm also not someone who believes that the stars are

433
00:18:30,119 --> 00:18:33,000
Speaker 1: telling your life story either, Like, I don't think you

434
00:18:33,000 --> 00:18:34,840
Speaker 1: can interpret my dreams and tell me what my future

435
00:18:34,920 --> 00:18:36,040
Speaker 1: is or what I'm really thinking.

436
00:18:36,200 --> 00:18:38,000
Speaker 4: Yeah, you're someone that doesn't believe it, but you also

437
00:18:38,080 --> 00:18:40,560
Speaker 4: are like maybe is that one where you're.

438
00:18:40,440 --> 00:18:43,000
Speaker 1: Like, you don't know what do you think dreams are?

439
00:18:44,520 --> 00:18:46,520
Speaker 2: I don't really think much about the dreams. I don't

440
00:18:46,560 --> 00:18:48,080
Speaker 2: think there're anything. Are the information?

441
00:18:48,680 --> 00:18:48,720
Speaker 4: No?

442
00:18:49,320 --> 00:18:52,320
Speaker 1: What about when you just wander off thinking like, do

443
00:18:52,320 --> 00:18:53,840
Speaker 1: you think that means something? That's all you're doing when

444
00:18:53,840 --> 00:18:54,320
Speaker 1: you're sleeping?

445
00:18:55,800 --> 00:18:56,879
Speaker 2: Well, I don't know. It depends on what am I

446
00:18:56,880 --> 00:18:57,320
Speaker 2: thinking about.

447
00:18:57,600 --> 00:18:59,439
Speaker 1: Uh So this thing? If you want to buy a

448
00:18:59,440 --> 00:19:01,240
Speaker 1: New York Post has it? I feel like they can

449
00:19:01,280 --> 00:19:02,280
Speaker 1: just make up stuff.

450
00:19:02,520 --> 00:19:04,920
Speaker 4: Yeah, you and you just believe it and they totally are.

451
00:19:05,040 --> 00:19:07,840
Speaker 1: And then if they have some sort of recapture back

452
00:19:07,880 --> 00:19:10,040
Speaker 1: that tells you what the capture is and what it means,

453
00:19:10,400 --> 00:19:12,760
Speaker 1: you probably subscribe up a tier so you get that

454
00:19:12,800 --> 00:19:15,120
Speaker 1: it's an extra nineteen ninety nine. Well, they can fool

455
00:19:15,119 --> 00:19:18,080
Speaker 1: people with this pretty easily. Anybody here believe their dreams

456
00:19:18,080 --> 00:19:21,520
Speaker 1: means something? Nope, No, Oregon, you seem like that kind

457
00:19:21,560 --> 00:19:21,920
Speaker 1: of person.

458
00:19:22,520 --> 00:19:24,679
Speaker 7: Not that I feel like it's trying to give me,

459
00:19:24,880 --> 00:19:28,080
Speaker 7: like some indication of something that I'm thinking about, Like

460
00:19:28,160 --> 00:19:32,480
Speaker 7: cause lately I'll have been dreaming like I'll wake up

461
00:19:32,720 --> 00:19:33,639
Speaker 7: and I'm like, why did.

462
00:19:33,520 --> 00:19:34,240
Speaker 4: You break up with me?

463
00:19:34,359 --> 00:19:36,119
Speaker 7: And I'm talking to my boyfriend something happened in my

464
00:19:36,119 --> 00:19:37,960
Speaker 7: sleep that he broke up with me over like eating

465
00:19:37,960 --> 00:19:39,840
Speaker 7: a pickle and we call them.

466
00:19:39,880 --> 00:19:41,040
Speaker 1: Well, there's so much out of that.

467
00:19:41,960 --> 00:19:43,800
Speaker 4: So what what's your dream trying to tell you?

468
00:19:43,920 --> 00:19:47,600
Speaker 7: I think I'm afraid of like this not going somewhere

469
00:19:47,600 --> 00:19:50,440
Speaker 7: and us breaking up, like my body is like subconsciously

470
00:19:50,520 --> 00:19:53,320
Speaker 7: afraid of like going through this process again. I think

471
00:19:53,440 --> 00:19:56,159
Speaker 7: I think my dreams are trying to like underlie some

472
00:19:56,240 --> 00:19:58,920
Speaker 7: problems that have like I'm insecure about.

473
00:19:59,119 --> 00:20:00,760
Speaker 1: Do you think they'll cond just like you already feel

474
00:20:00,760 --> 00:20:02,440
Speaker 1: that way anyway? Because yeah, And I think.

475
00:20:02,359 --> 00:20:05,120
Speaker 7: I'm just dreaming it further, like I'm giving it more

476
00:20:05,119 --> 00:20:08,000
Speaker 7: of a visual description in my head, especially if I

477
00:20:08,040 --> 00:20:10,680
Speaker 7: go to bed thinking about something, then it's like I'm

478
00:20:10,680 --> 00:20:11,479
Speaker 7: painting the picture.

479
00:20:11,880 --> 00:20:14,359
Speaker 1: Would you want to see your dreams played out for you?

480
00:20:15,040 --> 00:20:17,399
Speaker 7: I think i'd be curious, because I'm curious if the

481
00:20:17,400 --> 00:20:19,240
Speaker 7: ones I don't dream about are like this, or if

482
00:20:19,280 --> 00:20:20,320
Speaker 7: they're actually good.

483
00:20:20,560 --> 00:20:22,520
Speaker 1: What if you looked at your dreams all night because

484
00:20:22,520 --> 00:20:24,280
Speaker 1: you don't ever remember anything but the last one, and

485
00:20:24,320 --> 00:20:26,040
Speaker 1: all of a sudden, you're just murdering people.

486
00:20:25,840 --> 00:20:26,880
Speaker 3: Your whole all your dreams.

487
00:20:26,920 --> 00:20:29,280
Speaker 1: WHOA or you're terrible or you're just like eating poop

488
00:20:29,359 --> 00:20:30,959
Speaker 1: or something like it's totally terrible.

489
00:20:31,160 --> 00:20:34,800
Speaker 4: Yeah, I'm interested in seeing them, but I don't know

490
00:20:34,960 --> 00:20:37,560
Speaker 4: if they're telling me anything. But I don't know that

491
00:20:37,600 --> 00:20:39,240
Speaker 4: I would trust a product like this.

492
00:20:39,400 --> 00:20:41,399
Speaker 1: So what about astrology? Do you believe the stars are

493
00:20:41,440 --> 00:20:42,080
Speaker 1: telling you stuff?

494
00:20:42,840 --> 00:20:44,720
Speaker 4: Not totally, But when I hear my friends that do

495
00:20:44,760 --> 00:20:46,880
Speaker 4: believe it talk about it, I'm like, tell me more.

496
00:20:47,440 --> 00:20:47,480
Speaker 7: So.

497
00:20:48,400 --> 00:20:51,640
Speaker 1: I think that's the biggest racket ever. There is nothing

498
00:20:51,920 --> 00:20:55,040
Speaker 1: in science that says anything about stars ever telling you

499
00:20:55,080 --> 00:20:59,040
Speaker 1: about because again, there are many people that fall within

500
00:20:59,080 --> 00:21:01,080
Speaker 1: the same like, oh, that's a total pissy thing.

501
00:21:02,760 --> 00:21:05,160
Speaker 3: That's astrology. H Is that what that is? Yeah?

502
00:21:05,200 --> 00:21:05,400
Speaker 5: Yeah?

503
00:21:05,480 --> 00:21:08,639
Speaker 4: Or like your your moons and your houses up in

504
00:21:08,720 --> 00:21:10,600
Speaker 4: the you know, like you have certain houses.

505
00:21:10,760 --> 00:21:11,080
Speaker 6: I don't know.

506
00:21:11,680 --> 00:21:13,920
Speaker 7: I do believe there's something with the stars. I don't

507
00:21:13,960 --> 00:21:16,200
Speaker 7: know that I believe like, oh, you're your sign.

508
00:21:16,240 --> 00:21:17,520
Speaker 3: Cord with the stars.

509
00:21:17,760 --> 00:21:19,000
Speaker 4: I think there's something.

510
00:21:18,720 --> 00:21:20,840
Speaker 7: To be said about the sun and the moon and

511
00:21:20,880 --> 00:21:23,840
Speaker 7: there's this correlation and what's happening in your body and how.

512
00:21:23,680 --> 00:21:26,400
Speaker 4: You were born, because that goes way way back.

513
00:21:27,040 --> 00:21:28,879
Speaker 1: But you didn't say anything with all those words. You

514
00:21:28,880 --> 00:21:30,520
Speaker 1: said there's a correlation with the sun and the stars

515
00:21:30,520 --> 00:21:31,960
Speaker 1: and how you're So there's a deeper.

516
00:21:31,720 --> 00:21:35,000
Speaker 7: Part of when you do the studies of this where

517
00:21:35,240 --> 00:21:37,280
Speaker 7: it's like you were born at this time, so you're

518
00:21:37,280 --> 00:21:40,320
Speaker 7: like a rising sun or you're like the water. I

519
00:21:40,560 --> 00:21:43,920
Speaker 7: don't know the technicalities of it, but those are more

520
00:21:43,960 --> 00:21:48,280
Speaker 7: specific and more drawn into you versus the overarching like

521
00:21:48,480 --> 00:21:50,560
Speaker 7: I'm a libra, so I'm very well balanced.

522
00:21:50,640 --> 00:21:51,159
Speaker 3: I don't give it.

523
00:21:51,200 --> 00:21:53,160
Speaker 1: But they're drawn into you. That doesn't make any sense.

524
00:21:53,160 --> 00:21:54,000
Speaker 1: They're not drawn into you.

525
00:21:54,119 --> 00:21:54,400
Speaker 6: No, no, no.

526
00:21:54,520 --> 00:21:58,000
Speaker 4: What she's talking about is the very specific equations that

527
00:21:58,320 --> 00:21:59,680
Speaker 4: like there's the apple.

528
00:22:00,119 --> 00:22:03,200
Speaker 1: No reality and science, but it really is very deep.

529
00:22:03,440 --> 00:22:03,800
Speaker 3: It does.

530
00:22:04,280 --> 00:22:06,600
Speaker 7: The science is the fact of what time you were

531
00:22:06,760 --> 00:22:09,040
Speaker 7: born and what the stars looked like when you were born.

532
00:22:09,080 --> 00:22:11,479
Speaker 4: So it is based on I don't know if it's science.

533
00:22:11,560 --> 00:22:13,080
Speaker 1: No, it's not science. It's people going.

534
00:22:13,119 --> 00:22:14,040
Speaker 4: I think it's an equation.

535
00:22:14,200 --> 00:22:16,040
Speaker 1: The stars were this way when you were born, so

536
00:22:16,080 --> 00:22:19,560
Speaker 1: that means you're this type of person. One has no

537
00:22:19,640 --> 00:22:21,840
Speaker 1: influence on the other. How the stars were has no

538
00:22:21,880 --> 00:22:24,240
Speaker 1: influence on how you were born or how you are.

539
00:22:24,520 --> 00:22:26,560
Speaker 4: I know, but we don't know. They think they think

540
00:22:26,600 --> 00:22:29,200
Speaker 4: it does, and yes, sometimes it's pretty believable.

541
00:22:29,920 --> 00:22:33,840
Speaker 1: The constellations have shifted since then too. They're constantly shifting.

542
00:22:34,280 --> 00:22:36,040
Speaker 1: People aren't even the sign they think there are they

543
00:22:36,040 --> 00:22:36,840
Speaker 1: are most of the time.

544
00:22:38,000 --> 00:22:41,480
Speaker 3: So are all like libras just they're all the same?

545
00:22:41,800 --> 00:22:43,760
Speaker 3: Well that have you think that what are you?

546
00:22:44,080 --> 00:22:44,679
Speaker 1: I'm an aries?

547
00:22:45,040 --> 00:22:46,439
Speaker 3: Am I and you're very different?

548
00:22:46,520 --> 00:22:47,639
Speaker 4: So like one of my good friends with.

549
00:22:47,680 --> 00:22:51,280
Speaker 1: Your house and your son were born in your moons.

550
00:22:51,480 --> 00:22:53,119
Speaker 4: My friend will be like, oh my gosh. Like for

551
00:22:53,480 --> 00:22:58,280
Speaker 4: like Bobby, you're an Arie should be like oh yeah, typical, yes, yeah, yeah, yeah, Like, oh,

552
00:22:58,320 --> 00:23:00,000
Speaker 4: I don't know if I can date him. He's a Capricorn.

553
00:23:00,119 --> 00:23:01,520
Speaker 4: And I'm like, what the.

554
00:23:01,520 --> 00:23:04,920
Speaker 1: Idea that your personality or your fate is determined by

555
00:23:04,920 --> 00:23:07,679
Speaker 1: how stars were when you were born. And a lot

556
00:23:07,680 --> 00:23:09,719
Speaker 1: of people are born within the same one minute on

557
00:23:09,800 --> 00:23:12,199
Speaker 1: Earth and they're not the same in any way, And

558
00:23:12,240 --> 00:23:14,240
Speaker 1: the stars were exactly the same even in that one

559
00:23:14,320 --> 00:23:15,120
Speaker 1: minute they were born.

560
00:23:15,480 --> 00:23:18,440
Speaker 4: I know. But some of the calculations when you figure

561
00:23:18,480 --> 00:23:20,399
Speaker 4: out your life number and then you read about it,

562
00:23:20,480 --> 00:23:23,520
Speaker 4: you're like, oh, wow, this is interesting. I just don't

563
00:23:23,520 --> 00:23:24,520
Speaker 4: know enough of interesting.

564
00:23:24,680 --> 00:23:30,480
Speaker 1: Even regard to fortune cookies, those are interesting sometimes they're fun.

565
00:23:30,520 --> 00:23:32,960
Speaker 1: Astrology is basically fortune cookies for people to have a

566
00:23:33,000 --> 00:23:34,120
Speaker 1: little more money.

567
00:23:34,560 --> 00:23:36,520
Speaker 4: Or they just really get it, like, my brain doesn't

568
00:23:36,520 --> 00:23:41,880
Speaker 4: work that way to get it. No, my cousin like conversation, no, no, no, no.

569
00:23:42,000 --> 00:23:44,639
Speaker 4: You will be like, Okay, she's a very intelligent person,

570
00:23:44,920 --> 00:23:46,440
Speaker 4: and when you hear her talk about it, you don't

571
00:23:46,840 --> 00:23:49,200
Speaker 4: think she's crazy. You're like, oh, wow, she really knows

572
00:23:49,200 --> 00:23:51,840
Speaker 4: what you're talking about, and this is very intelligent.

573
00:23:52,080 --> 00:23:56,200
Speaker 1: David Koresh Jim Jones. I'm you don't have to be

574
00:23:56,800 --> 00:23:59,320
Speaker 1: super smart in order to be right. You can be

575
00:23:59,359 --> 00:24:01,760
Speaker 1: super smart and just have crazy theories.

576
00:24:02,280 --> 00:24:04,439
Speaker 2: She's also not building a cult, by the way, I.

577
00:24:04,880 --> 00:24:06,399
Speaker 3: Wouldn't think, and she was thank you.

578
00:24:07,400 --> 00:24:09,600
Speaker 1: Like, identical twins don't even live identical lives, and they're

579
00:24:09,640 --> 00:24:11,640
Speaker 1: born in the same star, same house, same every.

580
00:24:11,440 --> 00:24:13,159
Speaker 4: Same time, but the minute they were born is not

581
00:24:13,200 --> 00:24:14,480
Speaker 4: the same. So in their calculations.

582
00:24:15,440 --> 00:24:17,200
Speaker 3: Oh my gosh, listen, I'm.

583
00:24:17,080 --> 00:24:17,920
Speaker 4: Not saying it's a heart.

584
00:24:18,000 --> 00:24:20,119
Speaker 7: I'm just saying there's stuff that we don't quite know

585
00:24:20,160 --> 00:24:21,000
Speaker 7: one hundred percent about.

586
00:24:21,040 --> 00:24:22,800
Speaker 4: So there's pieces of it that I feel it could

587
00:24:22,800 --> 00:24:23,080
Speaker 4: be true.

588
00:24:23,119 --> 00:24:25,359
Speaker 7: But I'm not sitting here saying, read your horoscope, that's

589
00:24:25,400 --> 00:24:26,400
Speaker 7: who you are every single day.

590
00:24:26,440 --> 00:24:27,440
Speaker 4: Yeah, we sound sech ope.

591
00:24:28,480 --> 00:24:31,520
Speaker 1: The fact that Venus was turned over three degrees doesn't

592
00:24:31,520 --> 00:24:33,560
Speaker 1: affect your credit score like in anyway?

593
00:24:33,720 --> 00:24:35,879
Speaker 4: What about what about mercury retrograde?

594
00:24:36,200 --> 00:24:37,080
Speaker 3: I don't know what that is.

595
00:24:37,119 --> 00:24:40,240
Speaker 1: If you even say that, I might like you the same,

596
00:24:40,280 --> 00:24:41,640
Speaker 1: but I think I respect you a little.

597
00:24:41,440 --> 00:24:46,280
Speaker 4: Less, but the energy is different. They do say that

598
00:24:46,520 --> 00:24:50,720
Speaker 4: technology even behaves differently when Mercury is in retrograde, Like.

599
00:24:50,640 --> 00:24:54,520
Speaker 1: It's they and they saying technology behaves is such a

600
00:24:54,640 --> 00:24:55,240
Speaker 1: vague thing.

601
00:24:55,600 --> 00:24:58,159
Speaker 2: Yeah, I guess there's just like more mishaps.

602
00:24:58,200 --> 00:25:00,000
Speaker 3: You know what she's talking about when she says mercury right.

603
00:25:00,040 --> 00:25:02,520
Speaker 2: Tri grade when Mercury is in retrograde?

604
00:25:02,520 --> 00:25:03,600
Speaker 3: What does that mean?

605
00:25:06,240 --> 00:25:08,640
Speaker 1: I just know that people say that all the time.

606
00:25:08,800 --> 00:25:09,520
Speaker 4: Keep aware of it.

607
00:25:09,960 --> 00:25:12,600
Speaker 1: I don't know what's retrograde, how the planets backward or something. Huh,

608
00:25:12,840 --> 00:25:13,760
Speaker 1: I don't know.

609
00:25:13,920 --> 00:25:15,439
Speaker 4: See if my cousin was here, she would be able

610
00:25:15,480 --> 00:25:15,800
Speaker 4: to tell you.

611
00:25:15,840 --> 00:25:20,399
Speaker 7: I know, I believe there's some misalignment. So basically, you

612
00:25:20,560 --> 00:25:23,560
Speaker 7: doing things that are not in your normal personality. You

613
00:25:23,560 --> 00:25:25,960
Speaker 7: can be like, oh, well, Mercury is in retrograde, so

614
00:25:26,400 --> 00:25:27,359
Speaker 7: and there.

615
00:25:27,320 --> 00:25:29,520
Speaker 1: Is when the planet Mercury appears to move backward in

616
00:25:29,560 --> 00:25:30,960
Speaker 1: its orbit from Earth's perspective.

617
00:25:31,040 --> 00:25:35,280
Speaker 4: Whoa shifts everything, so things does it shifts nothing.

618
00:25:36,119 --> 00:25:39,560
Speaker 5: This period has often associated with communication breakdowns, travel delays,

619
00:25:39,560 --> 00:25:41,119
Speaker 5: and technology technology.

620
00:25:41,119 --> 00:25:45,399
Speaker 1: Everybody on Earth when mercury goes into retrograde, starts going

621
00:25:45,920 --> 00:25:48,800
Speaker 1: crazy and things start breaking. No, that's not true. It's

622
00:25:48,800 --> 00:25:51,480
Speaker 1: like people who are oddly having bad days. Go oh,

623
00:25:51,680 --> 00:25:53,320
Speaker 1: also mercury must be in retrograde.

624
00:25:53,960 --> 00:25:55,040
Speaker 4: Well, okay, when they do do that.

625
00:25:55,119 --> 00:25:58,639
Speaker 7: Hold on going into the science side of this, like gravity,

626
00:25:58,760 --> 00:26:01,720
Speaker 7: if the if something is changed with our planets, but

627
00:26:01,720 --> 00:26:01,879
Speaker 7: then it.

628
00:26:01,880 --> 00:26:03,960
Speaker 1: Would affect everybody.

629
00:26:04,400 --> 00:26:06,000
Speaker 4: Maybe some people more affected than others.

630
00:26:06,119 --> 00:26:10,360
Speaker 5: Jumini, Virgo and Sagittarius and Pisces are most affected by

631
00:26:10,400 --> 00:26:12,720
Speaker 5: the mercury retrogl.

632
00:26:12,760 --> 00:26:15,679
Speaker 1: In scientific terms, there's no evidence to suggest that mercury

633
00:26:15,760 --> 00:26:19,040
Speaker 1: retrogad affects technology or anything else on Earth in anyway whatsoever.

634
00:26:18,760 --> 00:26:20,680
Speaker 2: Except for the people that say that it does.

635
00:26:20,840 --> 00:26:25,040
Speaker 1: And that is placebo effect. They believe it, therefore it's true.

636
00:26:25,960 --> 00:26:28,000
Speaker 2: Yeah, I don't know.

637
00:26:28,320 --> 00:26:30,439
Speaker 7: Listen, hate you go under the believe You're like, if

638
00:26:30,440 --> 00:26:32,159
Speaker 7: I don't know everything about it, then I can't say

639
00:26:32,200 --> 00:26:32,720
Speaker 7: it's not true.

640
00:26:33,000 --> 00:26:34,320
Speaker 3: But you're saying it's true, and you.

641
00:26:35,480 --> 00:26:36,800
Speaker 4: They're saying that you don't know.

642
00:26:38,040 --> 00:26:40,479
Speaker 7: There's enough that I've seen that I question it, and

643
00:26:40,520 --> 00:26:42,160
Speaker 7: I'm sure you think it's interested.

644
00:26:42,480 --> 00:26:45,240
Speaker 1: I think astrology is just fortune cookies a better pr people.

645
00:26:45,240 --> 00:26:45,600
Speaker 3: That's it.

646
00:26:46,160 --> 00:26:50,200
Speaker 4: There's also something called the mercury retrograde shadow period also

647
00:26:50,760 --> 00:26:51,320
Speaker 4: make money.

648
00:26:51,119 --> 00:26:52,760
Speaker 1: Off all this crap. It's all it is is people

649
00:26:53,040 --> 00:26:53,960
Speaker 1: making money off people.

650
00:26:54,000 --> 00:26:56,280
Speaker 4: It's also known as retro shade, and it's the two

651
00:26:56,280 --> 00:26:59,360
Speaker 4: weeks before and after that mercury retrograde.

652
00:26:59,400 --> 00:27:00,800
Speaker 3: Who writes those things that the papers there?

653
00:27:00,840 --> 00:27:04,480
Speaker 1: I know that's to be anybody grifting, anybody grifting. Well,

654
00:27:04,880 --> 00:27:06,639
Speaker 1: there are like eight billion people on Earth, and you're

655
00:27:06,640 --> 00:27:09,399
Speaker 1: gonna tell me that they can be defined by I

656
00:27:09,440 --> 00:27:11,040
Speaker 1: don't know how many signs are there are the twelve signs.

657
00:27:11,040 --> 00:27:12,520
Speaker 1: I don't know if they are twelve signs for twelve months,

658
00:27:13,880 --> 00:27:16,879
Speaker 1: the monthsah, they're a little more eight billion people. And

659
00:27:16,920 --> 00:27:21,680
Speaker 1: then let's just there are twelve astrological signs, the zodiac signs.

660
00:27:22,119 --> 00:27:26,239
Speaker 1: There are twelve signs, eight billion people on Earth and

661
00:27:26,280 --> 00:27:30,080
Speaker 1: they all fit into those categories. And there are people

662
00:27:30,080 --> 00:27:31,879
Speaker 1: that are born in the same minute all over the world,

663
00:27:32,160 --> 00:27:33,639
Speaker 1: and they all have to live the same because the

664
00:27:33,640 --> 00:27:34,760
Speaker 1: stars were exactly like.

665
00:27:36,280 --> 00:27:37,600
Speaker 5: Real, they don't have to live that one.

666
00:27:37,680 --> 00:27:40,040
Speaker 4: No, because their life numbers be different based on the

667
00:27:40,040 --> 00:27:40,840
Speaker 4: minute they were born.

668
00:27:41,320 --> 00:27:43,920
Speaker 1: I am an astrology hater, Yeah you are. Talk simply,

669
00:27:43,960 --> 00:27:46,439
Speaker 1: two hundred and fifty babies are born every minute, so

670
00:27:46,480 --> 00:27:48,280
Speaker 1: those two hundred and fifty babies born under those stars

671
00:27:48,440 --> 00:27:49,959
Speaker 1: are at the same time, they should be the same. Then,

672
00:27:50,040 --> 00:27:53,399
Speaker 1: according to astrology logic, they have. They could have similarities.

673
00:27:53,480 --> 00:27:56,200
Speaker 7: You just have more like most libras because.

674
00:27:55,960 --> 00:27:57,240
Speaker 2: It's the only one I call one.

675
00:27:57,280 --> 00:27:57,919
Speaker 3: She's a believer.

676
00:27:58,200 --> 00:27:59,840
Speaker 7: That's just my sign and that's the only one I

677
00:27:59,880 --> 00:28:03,680
Speaker 7: know about. So the most libras tend to be more balanced,

678
00:28:03,760 --> 00:28:06,480
Speaker 7: and then they also have certain characteristics. It doesn't mean

679
00:28:06,520 --> 00:28:08,560
Speaker 7: everybody has, but you may have certain characters.

680
00:28:08,560 --> 00:28:10,680
Speaker 1: Do you think most libras are more balanced?

681
00:28:10,960 --> 00:28:11,480
Speaker 7: Tend to be?

682
00:28:11,640 --> 00:28:12,439
Speaker 3: Yes, and tend.

683
00:28:12,320 --> 00:28:13,760
Speaker 1: To be those are the most vague words you could

684
00:28:13,760 --> 00:28:16,880
Speaker 1: possibly use. It's like when something remote in the medical film. Yes,

685
00:28:16,920 --> 00:28:20,359
Speaker 1: that's exactly what it is. Most tend all those are

686
00:28:20,359 --> 00:28:23,520
Speaker 1: words that you can just generally use that actually mean nothing.

687
00:28:23,640 --> 00:28:25,639
Speaker 7: But I feel like that then could go into like

688
00:28:25,640 --> 00:28:29,320
Speaker 7: the enneagram, right, because enneagrams are categorized by personality types.

689
00:28:29,400 --> 00:28:31,359
Speaker 1: But that is an absolute personality type of a person

690
00:28:31,440 --> 00:28:33,199
Speaker 1: answering question to tell you what kind of person you

691
00:28:33,200 --> 00:28:35,120
Speaker 1: are based on your answers given to something. So that's

692
00:28:35,160 --> 00:28:39,760
Speaker 1: completely different than aneagrams. No, I answer told you why

693
00:28:39,760 --> 00:28:42,640
Speaker 1: it was different than adeograms. Neagrams are a formula made

694
00:28:42,680 --> 00:28:45,240
Speaker 1: up by answering questions giving a direct answer about how

695
00:28:45,320 --> 00:28:48,040
Speaker 1: your personality is built. And you answer questions and it

696
00:28:48,040 --> 00:28:49,720
Speaker 1: tells you who you are based on the answers you're given.

697
00:28:49,720 --> 00:28:50,560
Speaker 2: Where's your life number?

698
00:28:50,560 --> 00:28:52,760
Speaker 1: You're just like you're just born at a time, and

699
00:28:52,760 --> 00:28:53,560
Speaker 1: all of a sudden you're.

700
00:28:53,480 --> 00:28:56,360
Speaker 4: This, like your birthday is like on the eighteenth, and

701
00:28:56,520 --> 00:28:59,360
Speaker 4: eight plus one is nine, so then nine.

702
00:28:59,440 --> 00:29:01,200
Speaker 1: You know, Yes, it's all in the house of the

703
00:29:01,280 --> 00:29:01,800
Speaker 1: Rising Sun.

704
00:29:02,200 --> 00:29:03,400
Speaker 4: Yeah, I know, I know. I know.

705
00:29:03,520 --> 00:29:04,360
Speaker 2: It sounds Cooper.

706
00:29:04,520 --> 00:29:06,800
Speaker 1: It's fun. It's fun as long as you really don't

707
00:29:06,800 --> 00:29:11,360
Speaker 1: believe it because there's zero scientific fruit zero.

708
00:29:11,480 --> 00:29:11,640
Speaker 4: I know.

709
00:29:11,720 --> 00:29:15,720
Speaker 2: But I have wise friends that gosh, they live by.

710
00:29:15,600 --> 00:29:21,360
Speaker 1: It should do the white Friend's analogy again.

711
00:29:21,440 --> 00:29:24,680
Speaker 4: They were maybe they were intelligent, but I don't know

712
00:29:24,720 --> 00:29:27,120
Speaker 4: that they were wise. You want to hurt other people.

713
00:29:27,880 --> 00:29:33,640
Speaker 1: It depends on who's describing them. I think people probably said, yeah,

714
00:29:33,640 --> 00:29:35,760
Speaker 1: we live here with David Koresh is a wise soul.

715
00:29:36,160 --> 00:29:38,000
Speaker 1: The only people said that, of course they died for him.

716
00:29:38,440 --> 00:29:41,400
Speaker 1: Brainwashed exactly, And do whitse people brainwash people?

717
00:29:43,120 --> 00:29:45,040
Speaker 3: They could, I would.

718
00:29:45,600 --> 00:29:46,840
Speaker 2: They're not wise if they're doing that.

719
00:29:47,280 --> 00:29:48,920
Speaker 1: Okay, that's our astrology minute.

720
00:29:48,920 --> 00:29:49,080
Speaker 3: Thank you.

721
00:29:54,440 --> 00:29:58,719
Speaker 1: Bill Gates says that smartphones will soon become obsolete, and

722
00:29:58,760 --> 00:30:04,640
Speaker 1: he thinks, will you use tattoos with subdermal sensors as

723
00:30:04,680 --> 00:30:10,360
Speaker 1: our main means of communication? Also, these tattoos with subdermal

724
00:30:10,560 --> 00:30:13,560
Speaker 1: sensors will be used for health monitoring and digital interaction.

725
00:30:14,800 --> 00:30:19,280
Speaker 1: Elon Muskom Mark Zuckerberg have echoed similar views. That'd be

726
00:30:19,320 --> 00:30:21,240
Speaker 1: pretty cool now they won't use the tattoos.

727
00:30:20,880 --> 00:30:22,600
Speaker 3: We have already, you get new ones.

728
00:30:22,640 --> 00:30:24,440
Speaker 1: I did watch a video from like nineteen eighty seven

729
00:30:24,480 --> 00:30:26,360
Speaker 1: and they're like, this is what we think twenty twenty

730
00:30:26,400 --> 00:30:28,160
Speaker 1: seven will look like. And it's a guy and he's

731
00:30:28,160 --> 00:30:30,480
Speaker 1: in a full suit. This suit looks pretty contemporary today,

732
00:30:30,960 --> 00:30:34,040
Speaker 1: and he's like, well, this suit may look normal, but

733
00:30:34,080 --> 00:30:35,920
Speaker 1: it holds your temperature. And then he pulls out a

734
00:30:35,920 --> 00:30:37,880
Speaker 1: briefcase and he's like, and what we have now is

735
00:30:37,920 --> 00:30:40,479
Speaker 1: the ability to communicate with everybody. First on our watch,

736
00:30:40,640 --> 00:30:43,120
Speaker 1: we'll be able to get news, and they nailed the

737
00:30:43,120 --> 00:30:45,240
Speaker 1: Apple Watch. And then he opens a briefcase. There's a

738
00:30:45,240 --> 00:30:47,120
Speaker 1: printer in there. What they didn't realize we don't need

739
00:30:47,200 --> 00:30:49,560
Speaker 1: paper anymore. But it was pretty close to them predicting

740
00:30:49,600 --> 00:30:52,400
Speaker 1: the future. It wasn't one of these crazy ones where

741
00:30:52,400 --> 00:30:55,360
Speaker 1: they miss it, like flying cars and stuff. Yeah, but

742
00:30:55,480 --> 00:30:59,640
Speaker 1: they think that tattoos will be the means to hold

743
00:30:59,760 --> 00:31:00,640
Speaker 1: can communications.

744
00:31:00,680 --> 00:31:05,120
Speaker 4: So the tattoo has so would we talk to the tattoo?

745
00:31:06,280 --> 00:31:09,440
Speaker 1: That's a great question. These devices, pioneered by a company

746
00:31:09,440 --> 00:31:12,640
Speaker 1: called Chaotic Moon, could connect users to the internet, take calls,

747
00:31:12,640 --> 00:31:17,160
Speaker 1: and transmit data without handheld screens. Gates talked about this

748
00:31:17,160 --> 00:31:20,160
Speaker 1: concept in recent interviews, calling it possible replacement for smartphones.

749
00:31:20,320 --> 00:31:22,520
Speaker 1: And then it talks about Elon Musk and Mark Zuckerberg.

750
00:31:23,600 --> 00:31:26,360
Speaker 1: They say tattoos could cut screen reliance and improve health tracking.

751
00:31:26,640 --> 00:31:29,000
Speaker 1: I imagine, yes, I imagine you talking to it like the

752
00:31:29,000 --> 00:31:31,000
Speaker 1: Secret Service talks into their wrist. Yeah, we got the

753
00:31:31,000 --> 00:31:34,240
Speaker 1: president here, we got iron Eagle rights that golly is

754
00:31:34,280 --> 00:31:37,160
Speaker 1: just always with you can probably probably an earpiece. I

755
00:31:37,160 --> 00:31:38,800
Speaker 1: think the earpiece would still exist.

756
00:31:38,680 --> 00:31:41,480
Speaker 3: Yeah, or else everybody would hear your conversations.

757
00:31:41,680 --> 00:31:45,160
Speaker 1: Yeah, you mean speaker coming out of your arm. Yeah, yeah,

758
00:31:45,160 --> 00:31:47,560
Speaker 1: nothing but speed. Imagine being on an airplane. Hey, can

759
00:31:47,600 --> 00:31:52,320
Speaker 1: you turn your arm off? So it's basically an Apple

760
00:31:52,360 --> 00:31:53,320
Speaker 1: Watch but in your body.

761
00:31:53,480 --> 00:31:56,000
Speaker 2: H I don't know how I feel about that.

762
00:31:56,640 --> 00:31:58,200
Speaker 1: I hear you, but I don't know how people would

763
00:31:58,240 --> 00:32:01,080
Speaker 1: have felt forty years to go carrying around a device

764
00:32:01,120 --> 00:32:02,080
Speaker 1: at tracks everywhere you go.

765
00:32:02,160 --> 00:32:02,320
Speaker 7: Yeah.

766
00:32:02,360 --> 00:32:04,160
Speaker 2: Also, still don't know how I feel about.

767
00:32:03,960 --> 00:32:04,760
Speaker 4: That, but I do.

768
00:32:06,040 --> 00:32:09,320
Speaker 1: Yeah, that's it's it's interesting. Something else happening at least today.

769
00:32:09,400 --> 00:32:12,000
Speaker 1: Eddie's gonna taste test for Waterburger today.

770
00:32:12,040 --> 00:32:13,960
Speaker 3: Isn't that crazy? How'd you get that job? I got

771
00:32:14,000 --> 00:32:18,440
Speaker 3: accepted for to be part of the panel, Like, it's unbelievable.

772
00:32:18,480 --> 00:32:20,360
Speaker 3: And I have to sign an NDA because I can't

773
00:32:20,400 --> 00:32:21,880
Speaker 3: talk about what I mean no way.

774
00:32:22,160 --> 00:32:24,080
Speaker 1: Yeah, the last time we signed an DA was because

775
00:32:24,120 --> 00:32:25,480
Speaker 1: Randy Travis was singing on AI.

776
00:32:25,640 --> 00:32:27,440
Speaker 3: Yeah, and that was a big deal. That's a big deal.

777
00:32:27,640 --> 00:32:31,040
Speaker 3: So I guess whatever I decide, or whatever the panel decides,

778
00:32:31,160 --> 00:32:33,600
Speaker 3: is what they decided to put on the menu. That's

779
00:32:33,680 --> 00:32:34,840
Speaker 3: so freaking cool.

780
00:32:34,920 --> 00:32:39,560
Speaker 1: Do you go to a water Burger like official office

781
00:32:39,800 --> 00:32:41,640
Speaker 1: or like a secret warhouse undisclosed?

782
00:32:41,760 --> 00:32:41,960
Speaker 3: Uh?

783
00:32:42,640 --> 00:32:43,160
Speaker 2: Oh wow?

784
00:32:43,320 --> 00:32:45,160
Speaker 4: So you're not even going to be like water Burger.

785
00:32:45,240 --> 00:32:46,320
Speaker 4: You're going to be You're.

786
00:32:46,160 --> 00:32:48,880
Speaker 3: Gonna be blindfolded and guys, I can't say much more.

787
00:32:48,880 --> 00:32:52,560
Speaker 1: Wow, that's good stuff.

788
00:32:52,920 --> 00:32:53,520
Speaker 3: It's awesome.

789
00:32:53,520 --> 00:32:55,400
Speaker 4: I can some ketchups. Thanks.

790
00:32:56,320 --> 00:32:58,160
Speaker 3: I asked him for ketchup them a number one playing

791
00:32:58,160 --> 00:33:01,720
Speaker 3: with Che's and man, it is only like stuff only here. Yeah,

792
00:33:03,280 --> 00:33:05,440
Speaker 3: I'm so excited. I've never been part of anything like

793
00:33:05,440 --> 00:33:07,120
Speaker 3: this in my life. How long did you block out

794
00:33:07,120 --> 00:33:09,200
Speaker 3: for it? It's an hour and a half. Hopefully I'm

795
00:33:09,240 --> 00:33:10,800
Speaker 3: not eating for a whole hour and a half.

796
00:33:11,520 --> 00:33:16,680
Speaker 1: But after the hot dog, like, don't put it on

797
00:33:16,720 --> 00:33:21,479
Speaker 1: the menu. What a dog. Let's take this call from Corey,

798
00:33:21,560 --> 00:33:24,160
Speaker 1: who's in North Carolina. Corey, you're on the show. What's

799
00:33:24,200 --> 00:33:24,600
Speaker 1: up buddy?

800
00:33:25,040 --> 00:33:29,479
Speaker 8: Hey, morning morning, Hey. I just I had a question

801
00:33:29,720 --> 00:33:36,880
Speaker 8: for Lunchbox last week. He was talking about his birthday

802
00:33:36,920 --> 00:33:39,600
Speaker 8: and what he's expecting from his wife and cake and

803
00:33:39,640 --> 00:33:41,560
Speaker 8: all that. I just wanted to see what he got

804
00:33:41,640 --> 00:33:43,360
Speaker 8: since he never gets his wife anything.

805
00:33:44,480 --> 00:33:47,240
Speaker 5: Oh yeah, I got cheesecake. Man. She came through and

806
00:33:47,240 --> 00:33:49,520
Speaker 5: got me some cheesecake, some really good cheesecake.

807
00:33:49,520 --> 00:33:51,200
Speaker 1: And I'm talking big old.

808
00:33:51,000 --> 00:33:53,800
Speaker 5: Pieces and she got me one piece for Friday and

809
00:33:53,920 --> 00:33:55,200
Speaker 5: one piece for Saturday.

810
00:33:55,240 --> 00:33:58,600
Speaker 1: So she got two pieces, which was awesome. So you're

811
00:33:58,600 --> 00:34:01,040
Speaker 1: happy with that. Yeah, I love cheese cake a plus.

812
00:34:01,120 --> 00:34:04,040
Speaker 1: Then that's all. That's all it is, regardless of how

813
00:34:06,280 --> 00:34:09,000
Speaker 1: if you yes, I love it. If you love it,

814
00:34:09,000 --> 00:34:09,920
Speaker 1: that's all that matters.

815
00:34:10,200 --> 00:34:12,399
Speaker 5: Yeah, and presence wise.

816
00:34:12,719 --> 00:34:14,399
Speaker 1: Well that that's what you're talking about.

817
00:34:14,520 --> 00:34:16,120
Speaker 5: Well, no, I'm about to tell you what she got presents.

818
00:34:16,120 --> 00:34:16,480
Speaker 1: Go ahead.

819
00:34:16,560 --> 00:34:18,680
Speaker 5: She got me like three pairs of blue jeans because

820
00:34:18,680 --> 00:34:20,040
Speaker 5: I don't own a pair of blue jeans.

821
00:34:21,200 --> 00:34:23,120
Speaker 1: You didn't like that, It's kind of weak.

822
00:34:23,200 --> 00:34:23,960
Speaker 3: Did you ask for that?

823
00:34:24,160 --> 00:34:24,200
Speaker 6: No?

824
00:34:24,239 --> 00:34:24,960
Speaker 5: I didn't ask for that.

825
00:34:25,000 --> 00:34:25,840
Speaker 1: Did you ask for anything?

826
00:34:26,200 --> 00:34:26,359
Speaker 6: No?

827
00:34:26,440 --> 00:34:28,200
Speaker 5: I figured she would figure out something cool.

828
00:34:28,800 --> 00:34:29,279
Speaker 3: Well she did.

829
00:34:29,320 --> 00:34:31,680
Speaker 4: She was working on it because she texted me asking

830
00:34:31,719 --> 00:34:34,240
Speaker 4: if I knew what what would be a good pair

831
00:34:34,320 --> 00:34:37,640
Speaker 4: of jeans that guys are wearing these days? You, Well,

832
00:34:37,760 --> 00:34:40,360
Speaker 4: she didn't know, Like she was like, I feel like

833
00:34:40,440 --> 00:34:41,440
Speaker 4: you might know, like.

834
00:34:41,480 --> 00:34:45,520
Speaker 3: What I'm saying, like out of all the people to ask.

835
00:34:45,520 --> 00:34:48,080
Speaker 4: Like, I don't know, I don't know. She was trying

836
00:34:48,080 --> 00:34:48,640
Speaker 4: to figure out.

837
00:34:50,320 --> 00:34:51,680
Speaker 3: I was so surprised by that.

838
00:34:52,000 --> 00:34:53,520
Speaker 4: Well, she was like, I just don't know what guys

839
00:34:53,520 --> 00:34:55,960
Speaker 4: are wearing these days, like if you you, it's like,

840
00:34:55,960 --> 00:34:58,719
Speaker 4: I feel like you might know fashion. And I was like,

841
00:34:58,960 --> 00:35:01,720
Speaker 4: lunchbox is a differ animal.

842
00:35:01,920 --> 00:35:03,840
Speaker 3: So brand you get you.

843
00:35:04,480 --> 00:35:06,000
Speaker 5: I don't even know what brand they are. But she

844
00:35:06,040 --> 00:35:08,640
Speaker 5: got me three different pairs, three different colors. She's like,

845
00:35:08,640 --> 00:35:10,000
Speaker 5: I don't know which one you'll like, and you can

846
00:35:10,000 --> 00:35:11,839
Speaker 5: try them on and if we'll see how they look.

847
00:35:12,200 --> 00:35:15,200
Speaker 5: And they look I didn't try mom, man, when they're

848
00:35:15,239 --> 00:35:16,600
Speaker 5: not that exciting. I just kind of threw them to

849
00:35:16,600 --> 00:35:17,839
Speaker 5: the side and I kind of blew them off.

850
00:35:17,880 --> 00:35:18,880
Speaker 1: Will you wear them?

851
00:35:19,680 --> 00:35:19,879
Speaker 3: Yeah?

852
00:35:19,880 --> 00:35:21,239
Speaker 1: I don't have a pair of blue jeans. I literally

853
00:35:21,280 --> 00:35:22,120
Speaker 1: don't have pair of jeans.

854
00:35:22,200 --> 00:35:22,800
Speaker 2: Okay, see that?

855
00:35:22,920 --> 00:35:24,560
Speaker 4: So she was getting something.

856
00:35:24,320 --> 00:35:25,280
Speaker 1: Need I need?

857
00:35:25,520 --> 00:35:27,359
Speaker 5: But yeah, like when I'm going out to like dinner

858
00:35:27,440 --> 00:35:28,600
Speaker 5: or something, I'm like, what am I gonna wear?

859
00:35:28,600 --> 00:35:32,040
Speaker 1: I have no jeans? Now you do? Yeah, Corey, thank

860
00:35:32,080 --> 00:35:32,600
Speaker 1: you for the call.

861
00:35:32,800 --> 00:35:35,400
Speaker 8: Hey, thank you guys.

862
00:35:36,480 --> 00:35:39,959
Speaker 1: On the phone. Tony in Colorado, Tony, what's up buddy?

863
00:35:40,680 --> 00:35:41,319
Speaker 6: Hey, how's it.

864
00:35:41,320 --> 00:35:42,759
Speaker 3: Going pretty good? What can I do for you?

865
00:35:44,360 --> 00:35:46,680
Speaker 6: Oh? Well, yeah, I was on the prices right and

866
00:35:46,719 --> 00:35:49,040
Speaker 6: I won. I was listening to you guys this morning.

867
00:35:49,280 --> 00:35:50,200
Speaker 1: Wow you won?

868
00:35:52,040 --> 00:35:56,120
Speaker 6: Yeah? I ended up winning a trip to Rio dejan narrow.

869
00:35:56,640 --> 00:35:58,239
Speaker 3: What did you play? Why doesn't know?

870
00:35:58,280 --> 00:36:00,360
Speaker 1: Walks through the whole day. So do you get tickets

871
00:36:00,360 --> 00:36:02,040
Speaker 1: ahead of time or do you show up day off

872
00:36:02,040 --> 00:36:02,640
Speaker 1: as they're taping.

873
00:36:03,000 --> 00:36:05,279
Speaker 6: Yeah, we got there early and my friend and I

874
00:36:05,320 --> 00:36:08,200
Speaker 6: we we we were both in the Marines together, so

875
00:36:08,239 --> 00:36:10,680
Speaker 6: we had to sit there and on a bench. The

876
00:36:10,719 --> 00:36:13,319
Speaker 6: girl that was describing it earlier was spot on, sit

877
00:36:13,440 --> 00:36:17,239
Speaker 6: on a bench and fill out a card just like

878
00:36:17,360 --> 00:36:19,920
Speaker 6: interesting facts about you. So we put that we were

879
00:36:19,960 --> 00:36:23,120
Speaker 6: in the Marines, and and then I just put goofy

880
00:36:23,160 --> 00:36:26,759
Speaker 6: stuff like I giggle on occasion, and I'm the number

881
00:36:26,800 --> 00:36:31,319
Speaker 6: one fist pumping champion and stuff like that. And then

882
00:36:32,760 --> 00:36:35,759
Speaker 6: and then you go, you just wait, and then I

883
00:36:35,800 --> 00:36:39,279
Speaker 6: think they come through and take pictures of you. They

884
00:36:39,440 --> 00:36:42,520
Speaker 6: take like a profile picture of you, and everybody was

885
00:36:42,560 --> 00:36:44,560
Speaker 6: sitting there trying to look nice and I was I

886
00:36:44,600 --> 00:36:49,640
Speaker 6: had my tongue out and just making goofy photos. And

887
00:36:49,680 --> 00:36:54,000
Speaker 6: then the last part was the producer came through and

888
00:36:54,239 --> 00:36:57,040
Speaker 6: would just ask you, you know, quick question about you

889
00:36:57,920 --> 00:37:00,359
Speaker 6: and you know, just tell me who you are, where

890
00:37:00,400 --> 00:37:02,880
Speaker 6: you're from. And I didn't even answer. I was just

891
00:37:02,960 --> 00:37:05,960
Speaker 6: yelling in his face, like all hyped up. I figured

892
00:37:06,000 --> 00:37:08,120
Speaker 6: that's kind of what they were looking for.

893
00:37:08,400 --> 00:37:12,200
Speaker 1: Were you wearing your uniform?

894
00:37:12,640 --> 00:37:17,279
Speaker 6: No? But fun fact Drew Carrey was he was in

895
00:37:17,320 --> 00:37:20,640
Speaker 6: the Marine Corps. So we made t shirts with Drew

896
00:37:20,680 --> 00:37:23,239
Speaker 6: Carrey's boot camp photo on there.

897
00:37:23,320 --> 00:37:25,480
Speaker 1: Okay, that's so he had something going. That's cool.

898
00:37:25,760 --> 00:37:27,080
Speaker 3: And then yeah, you get in.

899
00:37:27,120 --> 00:37:28,120
Speaker 1: Where do they seat you?

900
00:37:30,840 --> 00:37:33,879
Speaker 6: So we were seated by the order that we got

901
00:37:33,880 --> 00:37:34,480
Speaker 6: our tickets.

902
00:37:35,840 --> 00:37:38,120
Speaker 1: So they don't like the better people up front or anything.

903
00:37:39,480 --> 00:37:42,080
Speaker 6: No, no, And I don't have the best teeth, so

904
00:37:42,200 --> 00:37:43,480
Speaker 6: I think that's why.

905
00:37:44,680 --> 00:37:47,000
Speaker 1: Okay, so do you do you think at this point

906
00:37:47,040 --> 00:37:48,680
Speaker 1: you're going to get on? Do they give you any

907
00:37:48,960 --> 00:37:50,759
Speaker 1: any idea that hey, we like you.

908
00:37:52,440 --> 00:37:55,080
Speaker 6: I had no idea, but I thought we had it

909
00:37:55,120 --> 00:37:57,879
Speaker 6: going for us because we had Drew Carrey's boot camp

910
00:37:57,920 --> 00:37:59,960
Speaker 6: photo on our shirts.

911
00:38:00,200 --> 00:38:02,960
Speaker 1: How long did the show go before they called your name?

912
00:38:03,000 --> 00:38:04,640
Speaker 1: And did they they come on down? Did you do

913
00:38:04,680 --> 00:38:05,120
Speaker 1: the whole thing?

914
00:38:06,800 --> 00:38:10,840
Speaker 6: Yeah? Yeah, so I was. There were six contestants per show,

915
00:38:10,960 --> 00:38:14,279
Speaker 6: and I think I was the fourth, so it was

916
00:38:14,360 --> 00:38:17,880
Speaker 6: just a lot of anticipation. I got called up and

917
00:38:18,680 --> 00:38:23,600
Speaker 6: got down on the contestants row and and bid. I

918
00:38:23,640 --> 00:38:27,080
Speaker 6: think it was on luggage. I bid seven fifty. Everybody

919
00:38:27,080 --> 00:38:30,239
Speaker 6: else did nine hundred, nine oh one and nine oh two,

920
00:38:30,640 --> 00:38:33,800
Speaker 6: and I think it was like seven sixty or something

921
00:38:33,880 --> 00:38:34,200
Speaker 6: like that.

922
00:38:34,360 --> 00:38:37,600
Speaker 1: You get up your first time, your first bid, Yeah,

923
00:38:37,680 --> 00:38:40,160
Speaker 1: my first bid, and then what game do you go play?

924
00:38:41,800 --> 00:38:44,800
Speaker 6: Higher or lower? So there were like I think seven

925
00:38:44,960 --> 00:38:49,080
Speaker 6: grocery items and we had to I just had to

926
00:38:49,080 --> 00:38:54,160
Speaker 6: bid for the highest of what were the highest priced items.

927
00:38:54,280 --> 00:38:56,440
Speaker 6: It was either the highest or lowest. I can't remember.

928
00:38:56,760 --> 00:38:59,279
Speaker 1: Does it feel like thinking back about it, like, is

929
00:38:59,280 --> 00:38:59,719
Speaker 1: it weird to.

930
00:38:59,680 --> 00:39:03,799
Speaker 6: Think a little bit? Yeah? Yeah. The whole day I

931
00:39:03,840 --> 00:39:05,680
Speaker 6: was like, I had in my mind, I'm going to

932
00:39:05,719 --> 00:39:07,719
Speaker 6: get on the show and I'm gonna win a boat.

933
00:39:08,000 --> 00:39:09,839
Speaker 6: That's all. That's all I had in my mind. For

934
00:39:09,880 --> 00:39:11,719
Speaker 6: some reason, I said, I'm gonna win a boat. I'm

935
00:39:11,719 --> 00:39:14,560
Speaker 6: gonna win a boat. I'm gonna win a boat. I

936
00:39:14,640 --> 00:39:17,920
Speaker 6: ended up winning that higher lower to win my trip

937
00:39:17,960 --> 00:39:21,719
Speaker 6: to Rio. And then uh and then for the for

938
00:39:22,200 --> 00:39:25,400
Speaker 6: when we spun the wheel, I spun ninety five cents.

939
00:39:25,719 --> 00:39:26,839
Speaker 3: Oh hit.

940
00:39:29,120 --> 00:39:34,200
Speaker 6: The girl before me spent a dollar. She got she

941
00:39:34,320 --> 00:39:38,840
Speaker 6: got on showcase showdown and guess what she won.

942
00:39:41,200 --> 00:39:43,120
Speaker 3: Did you ever go to Rio on that trip?

943
00:39:44,360 --> 00:39:47,560
Speaker 6: Yeah, of course I did. I met I met Alessandro

944
00:39:47,640 --> 00:39:52,759
Speaker 6: and Brosio model. Yeah, she was. She was on a

945
00:39:53,320 --> 00:39:55,520
Speaker 6: she was on a photo shoot, and me and my

946
00:39:55,600 --> 00:39:59,200
Speaker 6: buddy we were like, that looks like that model. That

947
00:39:59,239 --> 00:40:01,120
Speaker 6: looks like that mom. Well I can't think. I don't

948
00:40:01,160 --> 00:40:03,960
Speaker 6: know her name, but she's from Victoria's Secret and we're

949
00:40:04,080 --> 00:40:06,680
Speaker 6: arguing back and forth, No, that's not her, that's not her.

950
00:40:07,040 --> 00:40:09,839
Speaker 6: And then we went up and asked the security guard,

951
00:40:09,960 --> 00:40:12,080
Speaker 6: is that is that who we think it is? He goes, yeah,

952
00:40:12,440 --> 00:40:15,160
Speaker 6: I said, can't get my picture with her? And he's like, oh,

953
00:40:15,239 --> 00:40:18,400
Speaker 6: you're gonna have to ask her. I'm like, really, okay,

954
00:40:18,440 --> 00:40:22,200
Speaker 6: I'll ask her. She took a picture with me.

955
00:40:22,360 --> 00:40:23,360
Speaker 1: Was she was? She nice to you?

956
00:40:24,719 --> 00:40:26,080
Speaker 6: Super nice? Yeah?

957
00:40:25,680 --> 00:40:28,040
Speaker 1: Yeah, well that's awesome. Did you pay taxes on that trip?

958
00:40:29,640 --> 00:40:32,840
Speaker 6: I did? Yeah. I think my total winnings was like

959
00:40:34,239 --> 00:40:37,080
Speaker 6: seven thousand something. I paid like a thousand.

960
00:40:37,320 --> 00:40:38,959
Speaker 3: Your trip that was seven thousand? Trip?

961
00:40:39,040 --> 00:40:39,399
Speaker 1: Was a trip?

962
00:40:39,440 --> 00:40:41,720
Speaker 3: Awesome? Like? Was it total? Everything?

963
00:40:41,760 --> 00:40:45,680
Speaker 6: Yeah? It was fun? Yeah? Yeah, everything well everything but

964
00:40:45,880 --> 00:40:49,480
Speaker 6: like food, so it was just like flight in your hotel.

965
00:40:50,040 --> 00:40:51,120
Speaker 6: But yeah, it was a great time.

966
00:40:51,239 --> 00:40:52,719
Speaker 1: What advice do you give lunchbox?

967
00:40:54,520 --> 00:40:58,040
Speaker 6: Oh god, just act yourself. He's he's a perfect contestant.

968
00:40:58,200 --> 00:40:59,839
Speaker 6: I fully endorsed Lunchbox.

969
00:41:00,200 --> 00:41:02,960
Speaker 1: Yes you should wearies.

970
00:41:03,000 --> 00:41:04,000
Speaker 5: I was thinking about that.

971
00:41:06,040 --> 00:41:06,279
Speaker 3: Yeah.

972
00:41:06,440 --> 00:41:09,040
Speaker 5: No, I was thinking about like wearing Drew Carey's face

973
00:41:09,160 --> 00:41:11,920
Speaker 5: on my shirt, Like get him in different aspects of

974
00:41:11,960 --> 00:41:14,440
Speaker 5: his life, you know, take his boot camp photo, take

975
00:41:14,520 --> 00:41:16,200
Speaker 5: him on whose line is it anyway?

976
00:41:17,200 --> 00:41:17,839
Speaker 1: You don't kind of.

977
00:41:18,080 --> 00:41:21,200
Speaker 3: No, sure, it's already been done. Man, I'm like, yeah,

978
00:41:21,360 --> 00:41:22,000
Speaker 3: Tony did it.

979
00:41:22,400 --> 00:41:24,239
Speaker 1: Yeah, he kind of just told a part of Tony.

980
00:41:25,120 --> 00:41:28,360
Speaker 1: Tony literally just ripped it right off. Hey, Tony, we

981
00:41:28,400 --> 00:41:30,080
Speaker 1: appreciate the call. That's a really cool story. Thank you

982
00:41:30,160 --> 00:41:31,120
Speaker 1: for listening, Thanks for calling.

983
00:41:32,440 --> 00:41:35,200
Speaker 6: Yeah, and and you should be a Giants fan, not

984
00:41:35,239 --> 00:41:36,160
Speaker 6: a Cowboys fan.

985
00:41:36,680 --> 00:41:37,560
Speaker 3: Yeah, I just am not.

986
00:41:37,840 --> 00:41:39,759
Speaker 1: I'm not gonna be a Cowboys fan. But I'm just

987
00:41:39,840 --> 00:41:41,960
Speaker 1: not a New York guy. It's too cold too. They

988
00:41:41,960 --> 00:41:45,000
Speaker 1: play outside, you don't want Yeah, yeah, yeah, Yeah, Tony, appreciate.

989
00:41:45,040 --> 00:41:49,120
Speaker 1: I hope you have a great day. All right, all right,

990
00:41:49,200 --> 00:41:52,080
Speaker 1: all right, that's gonna do it for the podcast here today, Amy,

991
00:41:52,080 --> 00:41:53,920
Speaker 1: what is up today on your podcast?

992
00:41:54,600 --> 00:41:58,400
Speaker 4: Doing fun things are sorry awkward things that actually.

993
00:41:58,200 --> 00:41:59,120
Speaker 2: End up being fun.

994
00:41:59,360 --> 00:42:02,000
Speaker 4: So Cat and I talk through some of that because

995
00:42:02,400 --> 00:42:05,120
Speaker 4: when we push ourselves, we surprise ourselves.

996
00:42:05,480 --> 00:42:06,759
Speaker 1: What did you do awkward? That was fun?

997
00:42:07,080 --> 00:42:07,239
Speaker 2: Oh?

998
00:42:07,400 --> 00:42:09,840
Speaker 4: One of my examples was my hip hop dance class

999
00:42:09,880 --> 00:42:10,440
Speaker 4: with my daughter.

1000
00:42:10,880 --> 00:42:12,680
Speaker 1: Hey, yeah, I saw that clip on your Instagram.

1001
00:42:12,840 --> 00:42:13,800
Speaker 4: Oh it's so bad.

1002
00:42:13,880 --> 00:42:15,879
Speaker 1: I actually imagine doing it from of millions of people.

1003
00:42:15,880 --> 00:42:19,000
Speaker 3: Amy. Oh that's funny. That's what you did.

1004
00:42:19,680 --> 00:42:23,719
Speaker 4: Oh yeah, but you could actually No, I couldn't. Honestly,

1005
00:42:23,760 --> 00:42:25,960
Speaker 4: I don't know how you did it exactly because it

1006
00:42:26,080 --> 00:42:29,160
Speaker 4: was very vulnerable, difficult. Well yeah, so then when Kat

1007
00:42:29,239 --> 00:42:30,920
Speaker 4: edits our videos and when she was putting together our

1008
00:42:31,000 --> 00:42:33,120
Speaker 4: YouTube last night, she texted me and she's like, do

1009
00:42:33,200 --> 00:42:35,560
Speaker 4: you have the video from the class because they film

1010
00:42:35,600 --> 00:42:37,920
Speaker 4: it and then they email it out to you. And

1011
00:42:37,960 --> 00:42:40,279
Speaker 4: I guess everybody signs a waiver that because I was like, well,

1012
00:42:40,280 --> 00:42:41,759
Speaker 4: I don't think we can use this because there's other

1013
00:42:41,760 --> 00:42:44,879
Speaker 4: people in the clip. So I checked Zach Matthew's wife,

1014
00:42:44,920 --> 00:42:47,200
Speaker 4: our friend Zach, he's in the class, his wife's and

1015
00:42:47,239 --> 00:42:47,600
Speaker 4: the car or.

1016
00:42:47,719 --> 00:42:48,480
Speaker 1: Zach was in the class.

1017
00:42:49,760 --> 00:42:51,480
Speaker 4: But I texted her and she's like, no, no, no.

1018
00:42:51,520 --> 00:42:53,200
Speaker 4: When you sign up for class, you sign a waiver

1019
00:42:53,280 --> 00:42:55,480
Speaker 4: that it can be used anywhere. So I was like, okay,

1020
00:42:55,600 --> 00:42:59,480
Speaker 4: So in our YouTube video, Kat is inserting me dancing,

1021
00:43:00,640 --> 00:43:01,840
Speaker 4: so it's also vulnerable.

1022
00:43:01,840 --> 00:43:02,359
Speaker 3: I think it's great.

1023
00:43:02,640 --> 00:43:05,000
Speaker 1: Oh sucks. Imagine everybody was online though, telling you how

1024
00:43:05,040 --> 00:43:05,600
Speaker 1: crappy you were.

1025
00:43:06,680 --> 00:43:10,120
Speaker 4: You read that stuff, but you won.

1026
00:43:11,360 --> 00:43:12,759
Speaker 1: I was killed on that show.

1027
00:43:12,800 --> 00:43:13,319
Speaker 3: I know. I hear you.

1028
00:43:13,440 --> 00:43:13,879
Speaker 1: Well, that's good.

1029
00:43:13,920 --> 00:43:14,359
Speaker 3: I like it.

1030
00:43:14,440 --> 00:43:16,480
Speaker 4: So anyway, Yeah, the video's up. It's going to be

1031
00:43:16,480 --> 00:43:17,160
Speaker 4: on our YouTube.

1032
00:43:17,520 --> 00:43:19,440
Speaker 1: Cody Jinks is on the Bobbycast, so I did an

1033
00:43:19,480 --> 00:43:22,880
Speaker 1: hour with him. If you're big Cody Jinks fan, I

1034
00:43:22,880 --> 00:43:24,759
Speaker 1: think you'll love the interview. If you don't know Cody Jinks,

1035
00:43:24,760 --> 00:43:27,520
Speaker 1: I think you'll then become a Cody Jinks fan. Uh

1036
00:43:27,560 --> 00:43:29,440
Speaker 1: So check that out on the Bobbycast. We will see

1037
00:43:29,440 --> 00:43:30,920
Speaker 1: you guys tomorrow. Have a good everybody.

1038
00:43:30,920 --> 00:43:31,120
Speaker 3: Bye,