1
00:00:06,760 --> 00:00:09,600
Speaker 1: Welcome to Brief Recess. I'm Melissa's husband, Michael Foot.

2
00:00:09,840 --> 00:00:12,160
Speaker 2: I'm his a strange wife, Melissa now Branchfoot.

3
00:00:12,560 --> 00:00:14,520
Speaker 1: Today on the show, we're going to talk about Fox

4
00:00:14,600 --> 00:00:17,319
Speaker 1: News reporting that Melissa and I are married. We're going

5
00:00:17,400 --> 00:00:20,680
Speaker 1: to talk about hobo sexuals. We're going to talk about

6
00:00:20,720 --> 00:00:25,800
Speaker 1: Trump's beef with the Pope, Malania's speech on Epstein, blue

7
00:00:25,840 --> 00:00:31,400
Speaker 1: wave midterms, hopefully on the horizon, victor Orbon loses election

8
00:00:31,800 --> 00:00:35,040
Speaker 1: in Hungary, and we're going to answer all your questions

9
00:00:35,040 --> 00:00:38,760
Speaker 1: from the DM So stick around. I thought I just

10
00:00:38,800 --> 00:00:42,559
Speaker 1: lost my laptop. I just had like a where to go.

11
00:00:42,760 --> 00:00:44,440
Speaker 2: I knew where it was. Should have just asked me

12
00:00:44,760 --> 00:00:45,800
Speaker 2: what I just told you?

13
00:00:46,280 --> 00:00:48,920
Speaker 1: Oh no, That's what Renter's insurance is good for, though,

14
00:00:49,240 --> 00:00:51,480
Speaker 1: because it covers like laptops and stuff.

15
00:00:51,479 --> 00:00:54,400
Speaker 2: So if you lose your laptop someplace else, you.

16
00:00:54,320 --> 00:00:56,560
Speaker 1: Have to pay like the at least for my policy,

17
00:00:56,600 --> 00:00:58,480
Speaker 1: I think I have to pay like a five dollars

18
00:00:58,520 --> 00:01:02,880
Speaker 1: deductible replace it. But I think I had to call

19
00:01:02,880 --> 00:01:05,480
Speaker 1: them and tell them that I wanted electronics covered, and

20
00:01:05,520 --> 00:01:08,280
Speaker 1: they did it. Okay, because I do lose it a lot.

21
00:01:08,560 --> 00:01:09,759
Speaker 2: You lose important things.

22
00:01:10,440 --> 00:01:14,720
Speaker 1: Yeah, okay, yeah, you said, okay, so serious, like.

23
00:01:15,440 --> 00:01:18,440
Speaker 2: No, no, no, I mean I'm trying to think I

24
00:01:18,480 --> 00:01:19,560
Speaker 2: hate losing things.

25
00:01:20,280 --> 00:01:22,280
Speaker 1: I mean I don't get I don't drive joy from it.

26
00:01:22,400 --> 00:01:25,720
Speaker 2: No, no, no, I know. But like I misplace things

27
00:01:25,760 --> 00:01:28,559
Speaker 2: a lot, I don't actually lose them, if that makes sense.

28
00:01:29,240 --> 00:01:33,760
Speaker 2: I end up finding it. And sometimes I'll buy another thing, okay,

29
00:01:33,840 --> 00:01:35,600
Speaker 2: and then I'll find it and then just return the

30
00:01:35,600 --> 00:01:36,000
Speaker 2: other thing.

31
00:01:36,080 --> 00:01:38,360
Speaker 1: Oh you do, Okay, See, I would never I don't

32
00:01:38,360 --> 00:01:40,959
Speaker 1: have that kind of follow through. Alyssa and I are

33
00:01:40,959 --> 00:01:45,480
Speaker 1: the same like that, We're like, whoa messy, Well we'll

34
00:01:45,600 --> 00:01:47,280
Speaker 1: just have like four the same thing.

35
00:01:47,680 --> 00:01:51,280
Speaker 2: Well that's the case them. But I, you know, okay,

36
00:01:51,320 --> 00:01:53,400
Speaker 2: so you know what would happen to me all the time.

37
00:01:54,040 --> 00:01:59,120
Speaker 2: I hate traveling without headphones.

38
00:02:00,160 --> 00:02:04,640
Speaker 1: Melissa Melbranch Melissa no middle name, mel Branch. I got

39
00:02:04,680 --> 00:02:06,920
Speaker 1: on so I had to go to d C, which

40
00:02:06,960 --> 00:02:08,600
Speaker 1: is my least favorite place on earth?

41
00:02:08,720 --> 00:02:09,640
Speaker 2: Is it really? Yes?

42
00:02:09,680 --> 00:02:11,840
Speaker 1: And I texted CJ and I said, next time someone

43
00:02:11,880 --> 00:02:15,320
Speaker 1: tries to book me in DC, polase say no.

44
00:02:16,080 --> 00:02:17,480
Speaker 2: I'm going to be in d a couple of weeks.

45
00:02:17,560 --> 00:02:20,480
Speaker 1: Okay, Thoughts and prayers because when I was there, so

46
00:02:20,520 --> 00:02:25,000
Speaker 1: I get on the am track, which is already I'm

47
00:02:25,040 --> 00:02:28,800
Speaker 1: already upset. I'm already upset. And this was after that

48
00:02:28,840 --> 00:02:31,520
Speaker 1: guy recognized me, was that my wife loves you and

49
00:02:31,520 --> 00:02:34,040
Speaker 1: took a photo of me looking dishoveled. So I get

50
00:02:34,120 --> 00:02:35,000
Speaker 1: on the amtrack.

51
00:02:35,080 --> 00:02:37,680
Speaker 2: I love that actually, And after years.

52
00:02:37,560 --> 00:02:43,359
Speaker 1: Of these headphones working, no problems, beautiful, incredible sound, noise canceling,

53
00:02:43,520 --> 00:02:46,560
Speaker 1: just what you need when you're on Amtrak, even if

54
00:02:46,560 --> 00:02:48,360
Speaker 1: you're in the choir card, there's always some guy.

55
00:02:48,960 --> 00:02:52,959
Speaker 2: Well also, I just want to block everybody out.

56
00:02:53,160 --> 00:02:55,560
Speaker 1: Yeah, yeah, and I needed to lock in on a

57
00:02:55,560 --> 00:03:01,480
Speaker 1: couple documents these headphones sent me Do Not Resuscitate Notice

58
00:03:02,280 --> 00:03:06,400
Speaker 1: d n R on my headphones gone after years, and

59
00:03:06,520 --> 00:03:09,280
Speaker 1: it was like a four hour train ride. And I know,

60
00:03:09,400 --> 00:03:12,440
Speaker 1: I like, it's such a first world problem, but you

61
00:03:12,440 --> 00:03:14,240
Speaker 1: know what, it really was awful.

62
00:03:14,400 --> 00:03:16,720
Speaker 2: Cig and I were talking about this earlier, about like

63
00:03:17,280 --> 00:03:20,760
Speaker 2: things that happen, and like it's like, oh, and then

64
00:03:20,800 --> 00:03:22,840
Speaker 2: you feel bad, like you that this is the thing

65
00:03:22,840 --> 00:03:24,160
Speaker 2: that you're upset about, and I'm like, but this is

66
00:03:24,160 --> 00:03:24,960
Speaker 2: your life.

67
00:03:24,760 --> 00:03:27,600
Speaker 1: Yeah right, what it is my life and I'm never going.

68
00:03:27,440 --> 00:03:30,720
Speaker 2: Back to dat. But it's not like you don't care

69
00:03:30,720 --> 00:03:33,000
Speaker 2: about things that are happening to other people, but you're

70
00:03:33,000 --> 00:03:34,240
Speaker 2: allowed to be annoyed about that.

71
00:03:34,360 --> 00:03:38,040
Speaker 1: I was like going to lock in, put on white noise,

72
00:03:38,280 --> 00:03:41,760
Speaker 1: and work on someone's asylum application, like it was actually

73
00:03:41,800 --> 00:03:44,520
Speaker 1: to help someone else. So like, I did really need

74
00:03:44,560 --> 00:03:47,680
Speaker 1: those headphones in that way, So I did buy a

75
00:03:47,720 --> 00:03:51,080
Speaker 1: ten dollars pair to just keep in my back aut

76
00:03:51,120 --> 00:03:52,480
Speaker 1: all times for emergencies.

77
00:03:53,160 --> 00:03:55,320
Speaker 2: Go. Here's what happens to me though, I do that,

78
00:03:55,800 --> 00:03:57,320
Speaker 2: and then you lose them, and then I and I

79
00:03:57,440 --> 00:04:00,320
Speaker 2: leave them somewhere. So then what ends up happening is

80
00:04:00,800 --> 00:04:03,280
Speaker 2: the first part of my commute, I would get off

81
00:04:03,400 --> 00:04:05,600
Speaker 2: and there was an Apple store, so I would go

82
00:04:05,640 --> 00:04:10,280
Speaker 2: into the Apple Store and I would buy new corded chadphones, right,

83
00:04:10,320 --> 00:04:12,960
Speaker 2: because I like left my air pods at home.

84
00:04:12,880 --> 00:04:14,040
Speaker 1: And you also need to be able to talk to

85
00:04:14,120 --> 00:04:16,680
Speaker 1: me on the phone, not at all times while you

86
00:04:16,680 --> 00:04:18,160
Speaker 1: were walking in Yeah, correct.

87
00:04:18,200 --> 00:04:21,800
Speaker 2: And so what ends up happening is that I have

88
00:04:21,960 --> 00:04:26,280
Speaker 2: this collection. It looks like a nest of like all

89
00:04:26,400 --> 00:04:33,560
Speaker 2: these headphones because I've bought them repeatedly, tangled entangles, just

90
00:04:33,640 --> 00:04:34,800
Speaker 2: a nest of them.

91
00:04:35,120 --> 00:04:37,840
Speaker 1: Yeah, it's like when they opened they opened the wall

92
00:04:37,920 --> 00:04:40,760
Speaker 1: in our in our house, when I was a kid

93
00:04:40,800 --> 00:04:43,239
Speaker 1: and there was like a nest of mice in there. Oh,

94
00:04:43,279 --> 00:04:46,960
Speaker 1: it's like that. This is sidebar. Let's get into a

95
00:04:47,000 --> 00:04:49,120
Speaker 1: sidebar of just a little personal story. What's going on

96
00:04:49,160 --> 00:04:51,479
Speaker 1: in our lives. What's happening with you?

97
00:04:51,640 --> 00:04:51,680
Speaker 2: Me?

98
00:04:52,279 --> 00:04:53,599
Speaker 1: What's happening me and you?

99
00:04:53,600 --> 00:04:54,080
Speaker 2: You and I?

100
00:04:54,160 --> 00:04:57,400
Speaker 1: Your nails look nice. I got my toes done. My

101
00:04:57,520 --> 00:05:00,960
Speaker 1: friend picked out, so I have my I have a friend.

102
00:05:02,040 --> 00:05:07,240
Speaker 1: She she is so not I love her so much,

103
00:05:07,600 --> 00:05:11,599
Speaker 1: but Jesus Christ, sometimes the choices she makes stylistically, I'm like, girl.

104
00:05:11,760 --> 00:05:13,400
Speaker 2: For herself for years, for herself.

105
00:05:13,480 --> 00:05:16,000
Speaker 1: Okay. So we're getting her nels done and she's picking

106
00:05:16,040 --> 00:05:21,200
Speaker 1: and I'm like, oh, let's pick a color. She picks neutral.

107
00:05:20,400 --> 00:05:22,960
Speaker 2: For the toes. Neutral toes are the worst.

108
00:05:23,920 --> 00:05:27,280
Speaker 1: Light green. I'm like, what, like, like green? No, I'm

109
00:05:27,279 --> 00:05:30,760
Speaker 1: asking her. I'm like, pick a different one. Yeah, next one,

110
00:05:31,279 --> 00:05:36,400
Speaker 1: light brown? But is that the next one?

111
00:05:39,640 --> 00:05:39,919
Speaker 2: Girl?

112
00:05:40,040 --> 00:05:40,760
Speaker 1: What are you doing?

113
00:05:40,839 --> 00:05:42,360
Speaker 2: But is that what she likes?

114
00:05:42,680 --> 00:05:48,599
Speaker 1: Yeah, it's very like pottery teacher coded like, it's very

115
00:05:48,680 --> 00:05:53,560
Speaker 1: it's very shops at che goes. Yeah, it's very birth

116
00:05:55,440 --> 00:05:58,880
Speaker 1: which one you know what I would say birth? Okay, yeah,

117
00:05:58,880 --> 00:06:00,280
Speaker 1: because there is a difference there.

118
00:06:00,279 --> 00:06:02,360
Speaker 2: No there's of course. I actually thought about being a

119
00:06:02,400 --> 00:06:11,599
Speaker 2: death doula. Yeah, it might happen one day. You're so annoying, not.

120
00:06:11,520 --> 00:06:13,520
Speaker 1: Me thinking death duel has just shoot people.

121
00:06:14,240 --> 00:06:15,920
Speaker 2: I was actually talking to my sister in law about

122
00:06:15,960 --> 00:06:17,800
Speaker 2: this over the weekend and she.

123
00:06:17,800 --> 00:06:19,760
Speaker 1: Was like, well, someone kill me, and you were like actually,

124
00:06:21,120 --> 00:06:22,360
Speaker 1: and she was like.

125
00:06:22,320 --> 00:06:24,440
Speaker 2: Oh, you know, She's like, you probably would like that.

126
00:06:24,480 --> 00:06:27,400
Speaker 2: And then my mom my mom my mom was there

127
00:06:27,720 --> 00:06:32,680
Speaker 2: and she was like, she was like, what is that?

128
00:06:32,760 --> 00:06:34,159
Speaker 2: And me, I was like, you sort of help people

129
00:06:34,240 --> 00:06:38,479
Speaker 2: transition over and then you you also help their families,

130
00:06:38,560 --> 00:06:43,120
Speaker 2: and my mom was like, it was just straight faced

131
00:06:43,120 --> 00:06:44,240
Speaker 2: emoji magalie.

132
00:06:45,960 --> 00:06:48,120
Speaker 1: I feel like it's really hard to wrap your head

133
00:06:48,160 --> 00:06:52,279
Speaker 1: around getting into that. But once you're like in that space,

134
00:06:52,360 --> 00:06:56,560
Speaker 1: I bet it's probably pretty you get used to like.

135
00:06:56,520 --> 00:07:00,520
Speaker 2: It would be very rewarding. I think that you know.

136
00:07:00,680 --> 00:07:03,520
Speaker 2: The other thing I think, and this is it's a

137
00:07:03,920 --> 00:07:06,920
Speaker 2: short relationship, do you know what I mean? Like you

138
00:07:06,960 --> 00:07:10,640
Speaker 2: do you help the people and then you're you're done right,

139
00:07:10,680 --> 00:07:15,440
Speaker 2: as opposed to like I think regular jobs, you got

140
00:07:15,440 --> 00:07:17,200
Speaker 2: to see those people all the time.

141
00:07:17,080 --> 00:07:20,000
Speaker 1: And I don't want to sometimes.

142
00:07:20,120 --> 00:07:22,600
Speaker 2: Especially the one person that you see there's always like

143
00:07:22,640 --> 00:07:24,000
Speaker 2: the one person that you hate.

144
00:07:23,760 --> 00:07:29,920
Speaker 1: Becky from Finance. Yeah, it's like Karen from HR. We

145
00:07:29,920 --> 00:07:32,640
Speaker 1: don't want to see you go back to your office.

146
00:07:33,760 --> 00:07:35,000
Speaker 2: You know, the person that I hate the most.

147
00:07:35,040 --> 00:07:36,000
Speaker 1: Oh of course I know.

148
00:07:37,720 --> 00:07:39,040
Speaker 2: I hate that person so much.

149
00:07:39,360 --> 00:07:41,120
Speaker 1: We can't talk about him. That's CJ. He's in the

150
00:07:41,120 --> 00:07:45,600
Speaker 1: studio right now. Wait. Fox News is reporting that you

151
00:07:45,640 --> 00:07:46,400
Speaker 1: and I are married.

152
00:07:46,880 --> 00:07:50,720
Speaker 2: Yes, did you see it? Did you see it? Oh

153
00:07:50,880 --> 00:07:53,280
Speaker 2: my god? So I sent it to a mutual friend.

154
00:07:53,360 --> 00:07:55,440
Speaker 2: I was just like, look at this and she was like.

155
00:07:55,680 --> 00:07:59,600
Speaker 1: What speaking of HR? Exactly right. HR called me and said,

156
00:07:59,600 --> 00:08:01,760
Speaker 1: you can't have a relationship with your co host.

157
00:08:02,240 --> 00:08:09,280
Speaker 2: Well we're it's so iHeartRadio. HR calls me so weird, though, like.

158
00:08:10,880 --> 00:08:13,240
Speaker 1: I think I need to clear the record. They did

159
00:08:13,240 --> 00:08:13,760
Speaker 1: not call me.

160
00:08:13,880 --> 00:08:14,480
Speaker 2: Oh they didn't.

161
00:08:14,560 --> 00:08:17,480
Speaker 1: No, HRD exactly right, and iHeart I think are both

162
00:08:17,520 --> 00:08:19,400
Speaker 1: gay men that I've slept with, so they know we're

163
00:08:19,440 --> 00:08:21,400
Speaker 1: not married. There's no way that they.

164
00:08:21,280 --> 00:08:23,440
Speaker 2: Think you're such a messy, messy bitch.

165
00:08:23,560 --> 00:08:26,720
Speaker 1: So Fox News picked up I think one of my videos,

166
00:08:26,760 --> 00:08:28,760
Speaker 1: which bots often pick them.

167
00:08:28,640 --> 00:08:38,520
Speaker 2: Up, misreport Michael Foot and his wife.

168
00:08:38,960 --> 00:08:43,120
Speaker 1: Yes, yes, my parents are going to be thrilled they're

169
00:08:43,120 --> 00:08:46,720
Speaker 1: gonna be like, finally we knew it was a phase.

170
00:08:48,880 --> 00:08:54,880
Speaker 2: He's bringing home a black wife twenty five who's also

171
00:08:55,040 --> 00:08:57,880
Speaker 2: like a good fifteen years older than he is.

172
00:08:58,760 --> 00:09:03,160
Speaker 1: Intergeneration into transracial marriage.

173
00:09:04,960 --> 00:09:08,880
Speaker 2: No kids, loves to thrift, love, has a cat.

174
00:09:09,000 --> 00:09:11,840
Speaker 1: They'll be thrilled. So my dad's like value systems on

175
00:09:12,320 --> 00:09:15,200
Speaker 1: who comes into the family is based off like what

176
00:09:15,400 --> 00:09:19,080
Speaker 1: services you can provide him. So what do you like?

177
00:09:19,200 --> 00:09:22,360
Speaker 1: Brad's an architect, so he's like, great free architect. I

178
00:09:22,600 --> 00:09:25,400
Speaker 1: before like you. Okay, So if you're going to be

179
00:09:25,520 --> 00:09:28,360
Speaker 1: my I guess work wife. Yeah, you've got to think about,

180
00:09:28,360 --> 00:09:30,600
Speaker 1: like what value you can add to.

181
00:09:30,600 --> 00:09:36,480
Speaker 2: Kevin's What is what is Kevin like? I can I'm

182
00:09:36,480 --> 00:09:37,280
Speaker 2: a really good cook.

183
00:09:37,440 --> 00:09:40,760
Speaker 1: Okay. He likes food, Yes, he loves food. I think

184
00:09:40,800 --> 00:09:43,199
Speaker 1: that's great. I think you just figured it out. I

185
00:09:43,240 --> 00:09:46,240
Speaker 1: think he would love that. Loves good conversation and a

186
00:09:46,280 --> 00:09:49,079
Speaker 1: stiff drink. Okay, So I think I mean you already

187
00:09:49,080 --> 00:09:51,880
Speaker 1: got your podcaster. So that's the first the conversation you

188
00:09:51,960 --> 00:09:55,040
Speaker 1: got down. Sure, and I've seen the strangers. I've seen

189
00:09:55,080 --> 00:09:57,480
Speaker 1: you drink. You've met my dad.

190
00:09:57,800 --> 00:09:58,680
Speaker 2: I have met your dad.

191
00:09:58,760 --> 00:10:02,840
Speaker 1: Yeah, we were married at the wedding.

192
00:10:05,200 --> 00:10:07,880
Speaker 2: He gave me Michael's hand in marriage. It was lovely.

193
00:10:09,440 --> 00:10:14,280
Speaker 2: It was lovely. That's what confused Madeline. That's why she

194
00:10:14,320 --> 00:10:16,160
Speaker 2: said that you weren't coming. She was like, I thought

195
00:10:16,200 --> 00:10:17,240
Speaker 2: he was supposed to marry ants.

196
00:10:20,360 --> 00:10:22,679
Speaker 1: This does feel like something that would happen in an

197
00:10:22,720 --> 00:10:25,640
Speaker 1: Ai fruit video. Is that I'm.

198
00:10:25,480 --> 00:10:30,040
Speaker 2: Trying so hard to like stop that ship because it's

199
00:10:31,520 --> 00:10:36,400
Speaker 2: I've now there are shoes. It's so I saw the crock,

200
00:10:36,520 --> 00:10:41,640
Speaker 2: the crock. Yeah, So this week I've been like, every

201
00:10:41,679 --> 00:10:44,000
Speaker 2: time it pops up, I go past it really fast.

202
00:10:45,080 --> 00:10:48,800
Speaker 2: It's too I don't want it. I need to banish it.

203
00:10:48,840 --> 00:10:49,640
Speaker 2: I need to banish it.

204
00:10:49,720 --> 00:10:52,920
Speaker 1: I will not die.

205
00:10:52,559 --> 00:10:54,520
Speaker 2: In the name of Jesus.

206
00:10:55,960 --> 00:10:59,120
Speaker 1: I will not Melissa every time she is the video

207
00:10:59,280 --> 00:11:02,880
Speaker 1: of the plane in a thunderstorm and over Africa, it

208
00:11:02,920 --> 00:11:03,840
Speaker 1: was I.

209
00:11:03,679 --> 00:11:08,600
Speaker 2: Think the I believe that they were going to Nigeriagia,

210
00:11:09,000 --> 00:11:12,160
Speaker 2: but I saw it on the Haitian interwebs because we

211
00:11:12,240 --> 00:11:16,199
Speaker 2: were like, that's us too, and so they were. They

212
00:11:16,320 --> 00:11:19,080
Speaker 2: showed the difference between It was like a flight going

213
00:11:19,120 --> 00:11:22,240
Speaker 2: to like Ireland that like got bumpy and people were

214
00:11:22,280 --> 00:11:26,960
Speaker 2: just like basically very quietly yes, praying the Irish Catholics.

215
00:11:28,760 --> 00:11:32,679
Speaker 2: But the plane that was going to Nigeria, people were like,

216
00:11:33,040 --> 00:11:36,400
Speaker 2: they were praying out loud and they were like, you know,

217
00:11:36,600 --> 00:11:40,199
Speaker 2: asking God to save them. And my favorite one is

218
00:11:40,360 --> 00:11:44,440
Speaker 2: in the name of Jesus, I would not die. I

219
00:11:44,520 --> 00:11:45,400
Speaker 2: would say.

220
00:11:45,120 --> 00:11:48,440
Speaker 1: That to each other all the time.

221
00:11:48,600 --> 00:11:51,840
Speaker 2: I just think I think it should be everyone's mantra

222
00:11:53,840 --> 00:11:56,520
Speaker 2: in the name, in the name of whoever. Right, But

223
00:11:57,000 --> 00:11:59,440
Speaker 2: I'm not going to die today today, not the day.

224
00:11:59,559 --> 00:12:02,480
Speaker 1: It's an Honestly, we increasingly in America need to say

225
00:12:02,520 --> 00:12:04,600
Speaker 1: that more and more because we never know what's going

226
00:12:04,679 --> 00:12:05,120
Speaker 1: to happen.

227
00:12:05,679 --> 00:12:06,480
Speaker 2: It's never good.

228
00:12:10,040 --> 00:12:12,160
Speaker 1: Let's get into your algorithm is showing this is all

229
00:12:12,160 --> 00:12:15,720
Speaker 1: the weird, crazy things happening on the internet. Right it's

230
00:12:15,760 --> 00:12:16,480
Speaker 1: Monday morning.

231
00:12:16,679 --> 00:12:18,360
Speaker 2: Yeah, and it's not Monday morning.

232
00:12:18,679 --> 00:12:22,600
Speaker 1: Okay, Well see I'm already lost in the space kind

233
00:12:22,600 --> 00:12:27,280
Speaker 1: of them continuum laughing. How late I was to the studio.

234
00:12:27,000 --> 00:12:29,720
Speaker 2: Today is absolutely we never recorded.

235
00:12:34,040 --> 00:12:36,000
Speaker 1: I did see a thing on my algorithm about why

236
00:12:36,040 --> 00:12:39,240
Speaker 1: gay people are late. I think it's like a theory.

237
00:12:39,400 --> 00:12:41,480
Speaker 1: I don't think there's like an actual science or doctor

238
00:12:42,080 --> 00:12:44,679
Speaker 1: behind you give me this the internet theory, which I

239
00:12:44,720 --> 00:12:49,959
Speaker 1: think is just I think it's just some gay person. Yeah,

240
00:12:50,320 --> 00:12:51,280
Speaker 1: gay person with Wi Fi.

241
00:12:51,520 --> 00:12:53,280
Speaker 2: But what's that?

242
00:12:54,080 --> 00:12:56,800
Speaker 1: People have always had to operate on like a shortened

243
00:12:56,840 --> 00:13:04,400
Speaker 1: timeline with their life because of yase, persecution, death aids crises.

244
00:13:05,120 --> 00:13:09,400
Speaker 1: So gay people like take on more responsibility and try

245
00:13:09,440 --> 00:13:13,720
Speaker 1: and do more things and in less time, no, assuming

246
00:13:13,800 --> 00:13:15,800
Speaker 1: that they're not going to have one hundred years to

247
00:13:15,800 --> 00:13:18,400
Speaker 1: get everything done. Okay, So that is like the theory.

248
00:13:18,600 --> 00:13:21,360
Speaker 1: I don't know if that's been proven because for me,

249
00:13:21,440 --> 00:13:24,400
Speaker 1: I'm like, I have so many ex boyfriends who are

250
00:13:24,480 --> 00:13:27,200
Speaker 1: lazy pieces of shit who did nothing. So I'm like,

251
00:13:27,240 --> 00:13:29,360
Speaker 1: I don't know how true that is for to say,

252
00:13:29,360 --> 00:13:33,760
Speaker 1: for an entire population, Uh huh, just deadbeat assholes, dead

253
00:13:33,800 --> 00:13:36,480
Speaker 1: beats lining the gutters something.

254
00:13:36,640 --> 00:13:40,040
Speaker 2: A hobosexualist excuse.

255
00:13:39,520 --> 00:13:45,240
Speaker 1: Me, No, this is like you're gonna surprise me with

256
00:13:45,280 --> 00:13:46,840
Speaker 1: this and then next week we're gonna have to have

257
00:13:46,920 --> 00:13:49,600
Speaker 1: the hobosexual specialist on the show.

258
00:13:50,080 --> 00:13:55,000
Speaker 2: So a hobosexual is it's usually a man. It's usually

259
00:13:55,040 --> 00:13:57,360
Speaker 2: a man who is in a relationship with a woman

260
00:13:57,840 --> 00:14:03,000
Speaker 2: and the guy is a loser, right and basically he's

261
00:14:03,120 --> 00:14:06,600
Speaker 2: hanging on to you, the woman, because he's got nowhere

262
00:14:06,600 --> 00:14:09,880
Speaker 2: else to go. He's a hobo, right, So he's a

263
00:14:09,920 --> 00:14:16,959
Speaker 2: hobo sexual. I can feel I can feel them on

264
00:14:17,000 --> 00:14:20,600
Speaker 2: this video. I mean I didn't make it. I didn't

265
00:14:20,640 --> 00:14:22,480
Speaker 2: make it up. I heard it somewhere and I thought

266
00:14:22,480 --> 00:14:25,600
Speaker 2: it was really funny. I've never before I think, you

267
00:14:25,640 --> 00:14:29,240
Speaker 2: know what I mean. I think that it's something that

268
00:14:29,280 --> 00:14:33,720
Speaker 2: i've heard on like you know, like social media.

269
00:14:34,960 --> 00:14:35,080
Speaker 1: Right.

270
00:14:35,120 --> 00:14:39,040
Speaker 2: No, so social media that's geared towards women, right, So

271
00:14:39,320 --> 00:14:39,960
Speaker 2: if that's not what.

272
00:14:41,000 --> 00:14:42,880
Speaker 1: It's a guy who's like with you for your money

273
00:14:42,960 --> 00:14:44,520
Speaker 1: and you're taking care of me is not working.

274
00:14:45,000 --> 00:14:48,360
Speaker 2: He's not working. The other thing that I that I

275
00:14:48,400 --> 00:14:54,560
Speaker 2: had seen once that said somewhere this morning, there is

276
00:14:54,600 --> 00:14:58,120
Speaker 2: a woman being driven to work by a man in

277
00:14:58,160 --> 00:15:01,360
Speaker 2: her car when he he goes back to her house

278
00:15:01,400 --> 00:15:02,240
Speaker 2: to not do ship.

279
00:15:04,120 --> 00:15:06,920
Speaker 1: I love the driving me to work, though I would

280
00:15:06,920 --> 00:15:09,080
Speaker 1: love a little ride to work. That's that sounds kind

281
00:15:09,080 --> 00:15:12,080
Speaker 1: of nice. Actually not do anything? Is it going to

282
00:15:12,120 --> 00:15:13,320
Speaker 1: clean up? Contribute a little bit?

283
00:15:13,360 --> 00:15:15,800
Speaker 2: He does nothing. He's a homosexual. It's like he goes

284
00:15:15,840 --> 00:15:21,720
Speaker 2: he he drops you off. Okay, he goes home, probably drinks,

285
00:15:21,800 --> 00:15:27,960
Speaker 2: probably smokes weed, and watches what's the sports show that's

286
00:15:27,960 --> 00:15:30,600
Speaker 2: on all the time. I know, it's the only sports

287
00:15:30,600 --> 00:15:31,520
Speaker 2: show like.

288
00:15:33,360 --> 00:15:35,080
Speaker 1: Sports sports Center.

289
00:15:35,240 --> 00:15:42,320
Speaker 3: Sports Center, Sports sports Center, Sports Center is on a

290
00:15:42,400 --> 00:15:47,200
Speaker 3: loop and the same ship over it's like every hour

291
00:15:47,640 --> 00:15:49,360
Speaker 3: and it just starts over sport.

292
00:15:49,880 --> 00:15:53,480
Speaker 2: No, it's like the same ship. It's like the same

293
00:15:53,800 --> 00:15:56,600
Speaker 2: twelve news items and it keeps on going.

294
00:15:57,160 --> 00:16:00,040
Speaker 1: I swear to that is like, Okay, so when I

295
00:16:00,080 --> 00:16:02,680
Speaker 1: get too high, I will watch the same thing over

296
00:16:02,760 --> 00:16:03,000
Speaker 1: and over.

297
00:16:03,120 --> 00:16:05,520
Speaker 2: I think, well, yeah, that's what I think.

298
00:16:05,520 --> 00:16:07,200
Speaker 1: That might be what's happening, That's what's happened. I was

299
00:16:07,200 --> 00:16:09,200
Speaker 1: on a I was a guest on a podcast. It

300
00:16:09,280 --> 00:16:11,240
Speaker 1: was an advice podcast, and so we called in and

301
00:16:11,280 --> 00:16:16,600
Speaker 1: their husband was home like Monday for like ten days

302
00:16:16,600 --> 00:16:19,840
Speaker 1: at a time and then would travel for work.

303
00:16:19,640 --> 00:16:21,680
Speaker 2: For just intent yeah gotcha.

304
00:16:21,800 --> 00:16:24,040
Speaker 1: Yeah, but and he was doing nothing for the ten

305
00:16:24,120 --> 00:16:26,760
Speaker 1: days and that they were asking like what do we do?

306
00:16:27,440 --> 00:16:29,480
Speaker 1: What do I do with this man who's just like

307
00:16:29,520 --> 00:16:30,920
Speaker 1: hanging out for ten days straight?

308
00:16:31,480 --> 00:16:32,200
Speaker 2: He did nothing?

309
00:16:32,840 --> 00:16:34,640
Speaker 1: So and then that was like the thing was she

310
00:16:35,040 --> 00:16:37,720
Speaker 1: was kind of like, well, he does cook and he

311
00:16:37,760 --> 00:16:39,080
Speaker 1: does take the kids to school.

312
00:16:39,680 --> 00:16:42,560
Speaker 2: And I was like, oen, okay, yeah, it might be No,

313
00:16:42,800 --> 00:16:46,120
Speaker 2: it's a U problem. Yeah because coming from yay. Yeah,

314
00:16:46,200 --> 00:16:48,520
Speaker 2: because when you said that she was saying that her

315
00:16:48,560 --> 00:16:50,520
Speaker 2: husband did nothing. I thought he was sitting in his

316
00:16:50,640 --> 00:16:53,480
Speaker 2: underwear watching Sports Center. You know what I mean.

317
00:16:53,680 --> 00:16:56,080
Speaker 1: We have to talk about what's happening online right now.

318
00:16:56,320 --> 00:16:59,320
Speaker 1: It's Trump has decided the one person that his base

319
00:16:59,520 --> 00:17:02,000
Speaker 1: likes more he's going to take them on, and that

320
00:17:02,040 --> 00:17:04,520
Speaker 1: person is the Pope. I know that no one in

321
00:17:05,040 --> 00:17:08,399
Speaker 1: his base love Jesus the Pope and then him and

322
00:17:08,440 --> 00:17:10,040
Speaker 1: he was like, I'm going to go for one and two.

323
00:17:10,200 --> 00:17:13,040
Speaker 2: The best part though, is like, this is not a

324
00:17:13,080 --> 00:17:16,040
Speaker 2: pope like any other pope. This Pope is from Chicago. Yes,

325
00:17:16,320 --> 00:17:18,400
Speaker 2: and I, oh, this is the other thing I wanted.

326
00:17:18,280 --> 00:17:19,640
Speaker 1: From the South side of Chicago.

327
00:17:20,440 --> 00:17:22,760
Speaker 2: So he also, you know how I always say like

328
00:17:22,920 --> 00:17:24,800
Speaker 2: nothing can happen to me because I had the blood

329
00:17:24,800 --> 00:17:28,480
Speaker 2: of revolutionaries running through my vancs On Haitian. So the Pope,

330
00:17:28,520 --> 00:17:30,800
Speaker 2: Pope Leo is very distantly Haitian.

331
00:17:31,440 --> 00:17:35,560
Speaker 1: Really, yes, wow, I didn't know that. Oh, don't talk

332
00:17:35,600 --> 00:17:38,120
Speaker 1: with Asian people. It's like rule number one.

333
00:17:38,280 --> 00:17:40,520
Speaker 2: So I mean, and I just love and I was

334
00:17:40,560 --> 00:17:44,800
Speaker 2: looking to see what percentage of the of Americans are Catholic.

335
00:17:44,920 --> 00:17:45,919
Speaker 2: Is about twenty percent?

336
00:17:46,200 --> 00:17:47,840
Speaker 1: Oh yeah, that's a lot that's a lot.

337
00:17:47,920 --> 00:17:50,800
Speaker 2: That's a lot. And the majority of those Catholics are

338
00:17:50,880 --> 00:17:52,200
Speaker 2: white Catholics.

339
00:17:52,440 --> 00:17:59,480
Speaker 1: Comma, are many Christians really gnf about the Pope like.

340
00:17:59,640 --> 00:18:03,200
Speaker 2: They're they love not just Catholics, like a lot of people.

341
00:18:03,880 --> 00:18:06,600
Speaker 1: All Christians are like, he's our guy, He's the guy. Yeah.

342
00:18:07,000 --> 00:18:08,840
Speaker 1: So I mean, I'm sure there's going to be one

343
00:18:08,840 --> 00:18:11,400
Speaker 1: weird sect of Christianity. He's going to be in the comments.

344
00:18:11,119 --> 00:18:12,639
Speaker 2: Being actually.

345
00:18:13,920 --> 00:18:17,000
Speaker 1: That we hate the Pope, and it'll be someone Yeah,

346
00:18:17,520 --> 00:18:26,440
Speaker 1: so sorry, Ezekiel out to the Distant Book of Jebediah.

347
00:18:26,680 --> 00:18:30,240
Speaker 1: But yeah, so here's the tea. This is a breakdown

348
00:18:30,240 --> 00:18:33,000
Speaker 1: of what happened. So Trump and the Pope started beefing

349
00:18:33,040 --> 00:18:36,840
Speaker 1: on the internet. Trump Trump did a photo of him

350
00:18:36,920 --> 00:18:38,000
Speaker 1: as Jesus.

351
00:18:38,240 --> 00:18:40,080
Speaker 2: Okay, so if it's the one that I think that

352
00:18:40,080 --> 00:18:44,919
Speaker 2: you're talking about right where he's yeah, correct, and he's

353
00:18:45,000 --> 00:18:49,760
Speaker 2: and he's over somebody laying hands on them in the backgrounds.

354
00:18:50,520 --> 00:18:53,960
Speaker 2: So I didn't realize this. So originally in the background

355
00:18:55,320 --> 00:18:59,800
Speaker 2: it's like three military people like soldiers with like their

356
00:19:00,080 --> 00:19:04,520
Speaker 2: you're on right, And then he changed it and so

357
00:19:04,560 --> 00:19:08,840
Speaker 2: there are two like soldiers and the one thing in

358
00:19:08,880 --> 00:19:13,080
Speaker 2: the middle is like a horned demon. And so here's

359
00:19:13,080 --> 00:19:15,919
Speaker 2: the thing. Do you hear what I'm saying? Don't I

360
00:19:16,040 --> 00:19:16,879
Speaker 2: sound insane?

361
00:19:17,040 --> 00:19:19,600
Speaker 1: But this is why I do disassociate sometimes and I

362
00:19:19,640 --> 00:19:21,320
Speaker 1: feel like I have to talk to my doctor.

363
00:19:21,040 --> 00:19:25,600
Speaker 2: Because I oh, yeah, right, he edited.

364
00:19:25,320 --> 00:19:28,240
Speaker 1: It and added a demon.

365
00:19:28,280 --> 00:19:32,080
Speaker 2: Correct and then also there's like light coming from his hands.

366
00:19:32,200 --> 00:19:33,120
Speaker 2: But here's the thing.

367
00:19:33,640 --> 00:19:36,280
Speaker 1: This is why I think over a certain age, you

368
00:19:36,320 --> 00:19:38,240
Speaker 1: should take a test before you should have access to

369
00:19:38,240 --> 00:19:40,720
Speaker 1: the Internet, because like a lot of this is like

370
00:19:40,760 --> 00:19:43,680
Speaker 1: when you know they take the license away from Grandma. Yeah,

371
00:19:43,720 --> 00:19:46,160
Speaker 1: it should be like that because they're the ones who

372
00:19:46,200 --> 00:19:50,560
Speaker 1: are clicking the fishing spot. I know, but this is

373
00:19:51,280 --> 00:19:54,040
Speaker 1: it's in charge of a lot. But like, got a

374
00:19:54,040 --> 00:19:56,680
Speaker 1: lot of responsibility. No, I know, he's famously important jobs.

375
00:19:56,760 --> 00:20:02,440
Speaker 2: Yeah, he's President of the United States of America. And

376
00:20:02,520 --> 00:20:07,120
Speaker 2: so so he took it down. Yeah, he was interviewed.

377
00:20:06,680 --> 00:20:09,760
Speaker 1: Well, because everyone was his base was calling him the Antichrist,

378
00:20:09,800 --> 00:20:10,240
Speaker 1: of course.

379
00:20:11,000 --> 00:20:14,840
Speaker 2: But my favorite thing about this though, is that he

380
00:20:15,000 --> 00:20:17,680
Speaker 2: was asked he was like, oh yeah, yeah, I put

381
00:20:17,720 --> 00:20:21,040
Speaker 2: it up and I took it down. Actually, I really

382
00:20:21,080 --> 00:20:23,760
Speaker 2: thought that it was a photo of me depicting me

383
00:20:23,960 --> 00:20:25,960
Speaker 2: as a doctor or a healer. Because we're working with

384
00:20:26,000 --> 00:20:28,080
Speaker 2: the Red QUSS. I did trust it, and I thought

385
00:20:28,080 --> 00:20:30,280
Speaker 2: it was me as a doctor. Now here's the thing.

386
00:20:31,160 --> 00:20:33,960
Speaker 2: Let's say I'm willing to that's the kind of the

387
00:20:34,160 --> 00:20:39,119
Speaker 2: driving insane. Let's say I wanted to believe that he

388
00:20:39,800 --> 00:20:43,040
Speaker 2: thought that it was a photo of him healing people

389
00:20:43,560 --> 00:20:47,240
Speaker 2: like a doctor. You're not a doctor, though, Like, you're

390
00:20:47,280 --> 00:20:48,160
Speaker 2: not a doctor.

391
00:20:49,000 --> 00:20:50,840
Speaker 1: He's got a malpractice lawsuit. Now for.

392
00:20:53,080 --> 00:20:55,360
Speaker 2: Oh, oh, it's me as a doctor.

393
00:20:56,040 --> 00:20:59,240
Speaker 1: What what do you mean that's not your job. I

394
00:20:59,280 --> 00:21:01,720
Speaker 1: don't think so. Earlier're not supposed to be doing You're

395
00:21:01,760 --> 00:21:02,320
Speaker 1: not supposed to.

396
00:21:04,080 --> 00:21:04,840
Speaker 2: Like what.

397
00:21:06,280 --> 00:21:10,160
Speaker 1: But the for me, what was exciting, Well, I know

398
00:21:11,760 --> 00:21:14,320
Speaker 1: this is twenty fifth Amendment. But for me, what was

399
00:21:14,359 --> 00:21:16,720
Speaker 1: so exciting was so quickly the base turned on him.

400
00:21:16,840 --> 00:21:19,720
Speaker 1: They turned on him so fast. His own like maga

401
00:21:20,520 --> 00:21:25,200
Speaker 1: red hat owning people were like, oh, bitch, not this

402
00:21:25,200 --> 00:21:27,960
Speaker 1: this is the one thing we were They were fine

403
00:21:28,000 --> 00:21:31,280
Speaker 1: with the pedophilia. Sure, they were fine with the Epstein files.

404
00:21:31,800 --> 00:21:34,640
Speaker 2: They were like, well, we're okay with you getting rich

405
00:21:34,800 --> 00:21:37,320
Speaker 2: off of this. Sure, we love them, we love it.

406
00:21:37,359 --> 00:21:43,160
Speaker 1: A quick war, we'll send our kids. Yeah, however, now

407
00:21:43,200 --> 00:21:46,000
Speaker 1: you're beefing with the Pope, and that we cannot stand for.

408
00:21:46,560 --> 00:21:47,440
Speaker 2: It will not stand.

409
00:21:47,600 --> 00:21:50,360
Speaker 1: Cannot it will not stand stand. They will not sit

410
00:21:51,000 --> 00:21:54,280
Speaker 1: and this they will not die.

411
00:21:55,040 --> 00:22:00,199
Speaker 2: In the name of Jesus, not you jumping. They are

412
00:22:00,240 --> 00:22:04,080
Speaker 2: real Jesus. Oh my goodness.

413
00:22:03,760 --> 00:22:07,639
Speaker 1: Real Jesus. Well, the real Jesus. Please stand up and

414
00:22:07,720 --> 00:22:11,679
Speaker 1: let us know. Why would you add a demon if

415
00:22:11,720 --> 00:22:13,879
Speaker 1: you're the Red Cross? Yeah? Why is there a demon

416
00:22:13,920 --> 00:22:15,160
Speaker 1: if you're the Red Cross?

417
00:22:15,560 --> 00:22:19,600
Speaker 2: CJ. Don't ask questions, look at CJ asking logical questions.

418
00:22:19,640 --> 00:22:24,919
Speaker 2: What's HAPPENINGSJ again, Like I was talking about this the

419
00:22:24,960 --> 00:22:28,480
Speaker 2: other day, like the people who worship him, because they do.

420
00:22:28,600 --> 00:22:31,639
Speaker 2: There are people who really love this man, even if

421
00:22:31,640 --> 00:22:35,479
Speaker 2: they're not saying it out loud. Yeah, but Maga to Maga,

422
00:22:35,520 --> 00:22:37,560
Speaker 2: are you just like do you think he's okay? What's

423
00:22:37,560 --> 00:22:38,040
Speaker 2: going on?

424
00:22:38,200 --> 00:22:40,439
Speaker 1: Well, there's some real Tom and Jerry shit going on

425
00:22:40,480 --> 00:22:44,359
Speaker 1: in the White House lately because Mamania like she burst

426
00:22:44,400 --> 00:22:47,440
Speaker 1: out through a wall like the kool Aid man and decide,

427
00:22:47,480 --> 00:22:52,480
Speaker 1: oh yeah, and to give a statement about the Epstein files,

428
00:22:52,520 --> 00:22:55,399
Speaker 1: to go on the record. It truly is. Do you

429
00:22:55,480 --> 00:22:58,040
Speaker 1: know that meme where it's like people are talking and

430
00:22:58,080 --> 00:23:01,199
Speaker 1: it's like hello and it's Moan's voice. She just like

431
00:23:01,320 --> 00:23:04,520
Speaker 1: was like on a and she just like jumped in

432
00:23:04,520 --> 00:23:08,280
Speaker 1: interjected for absolutely no reason. No one was talking about Epstein.

433
00:23:08,600 --> 00:23:11,760
Speaker 1: Nobody asked you no, and no one was talking specifically

434
00:23:11,760 --> 00:23:14,159
Speaker 1: about her and Epstein. They were the whole world was

435
00:23:14,160 --> 00:23:16,440
Speaker 1: talking about the war in Iran, right.

436
00:23:16,520 --> 00:23:19,480
Speaker 2: So now she's what she's done is she's made it

437
00:23:19,520 --> 00:23:21,679
Speaker 2: so that more people were like, well, let me let

438
00:23:21,760 --> 00:23:23,040
Speaker 2: me google, let me see.

439
00:23:23,440 --> 00:23:26,840
Speaker 1: Was she kind of yeah, I'm not sure, let's let's

440
00:23:27,000 --> 00:23:30,119
Speaker 1: look into it. So then they asked Trump. They were like,

441
00:23:30,200 --> 00:23:31,919
Speaker 1: did you know she was doing this? And he was

442
00:23:32,000 --> 00:23:37,359
Speaker 1: like what now what? And so then her husband is

443
00:23:37,400 --> 00:23:40,800
Speaker 1: best friends with Trump, so like they're a four custom

444
00:23:41,200 --> 00:23:44,439
Speaker 1: a couple, two couples, their friends. The husband told Trump,

445
00:23:44,560 --> 00:23:48,160
Speaker 1: deport my ex wife this woman, Oh, had her deported

446
00:23:48,160 --> 00:23:52,280
Speaker 1: to Eastern She then was threatening. We found all this

447
00:23:52,320 --> 00:23:55,280
Speaker 1: out after Millennia made this random statement being like, I

448
00:23:55,280 --> 00:23:59,120
Speaker 1: don't know anything about Epstein. The friend was like, I'm

449
00:23:59,160 --> 00:24:02,040
Speaker 1: going to tell everyone the tea about Milania and Epstein.

450
00:24:02,200 --> 00:24:04,720
Speaker 1: But she did that after Milania's statements. So we then

451
00:24:04,800 --> 00:24:07,520
Speaker 1: found out why Milania made that seam as she was

452
00:24:07,560 --> 00:24:09,440
Speaker 1: trying to preempt it because.

453
00:24:09,520 --> 00:24:10,840
Speaker 2: She knew it was going to come out.

454
00:24:11,000 --> 00:24:14,280
Speaker 1: Yeah, And the whole vibe of her friend saying that

455
00:24:14,359 --> 00:24:17,040
Speaker 1: was very much like pay me to shut up. And

456
00:24:17,480 --> 00:24:20,240
Speaker 1: we still haven't heard what that friend was going to say.

457
00:24:20,840 --> 00:24:26,399
Speaker 2: I don't know. I mean, I think we've just no

458
00:24:26,440 --> 00:24:30,200
Speaker 2: one is driving the bus. Yeah, no one's driving the bus.

459
00:24:30,320 --> 00:24:33,159
Speaker 2: The bus has got no brakes. Yeah it we're just

460
00:24:33,280 --> 00:24:36,159
Speaker 2: kareeming we're just going to careen into an account. But

461
00:24:36,200 --> 00:24:40,760
Speaker 2: it's okay, yes, exactly what is happening to us? And

462
00:24:41,320 --> 00:24:43,280
Speaker 2: you know, and nothing is going well.

463
00:24:43,320 --> 00:24:46,119
Speaker 1: And nothing's going well, Jadie Vance, I don't know what

464
00:24:46,480 --> 00:24:49,760
Speaker 1: psychologically is wrong with me where I have never been

465
00:24:50,000 --> 00:24:53,880
Speaker 1: more energized to my life like what happened. I truly am,

466
00:24:54,000 --> 00:24:56,240
Speaker 1: like on the therapist sofa, like what happened to me

467
00:24:56,600 --> 00:25:01,119
Speaker 1: in my childhood, where I'm thriving in this chaotic environment.

468
00:25:01,520 --> 00:25:07,000
Speaker 2: I mean, I think you're very busy because of what's

469
00:25:07,160 --> 00:25:11,200
Speaker 2: the state of the United States, and you are very

470
00:25:11,240 --> 00:25:13,600
Speaker 2: invested in the work that you do every.

471
00:25:13,480 --> 00:25:16,080
Speaker 1: Damn like, oh, a new Diva video. I can easily

472
00:25:16,119 --> 00:25:16,720
Speaker 1: make one.

473
00:25:16,840 --> 00:25:19,560
Speaker 2: Off of this Trump twice exactly, and you know, so

474
00:25:19,680 --> 00:25:22,640
Speaker 2: it's not only are you just generally busy with your

475
00:25:22,680 --> 00:25:26,959
Speaker 2: regular work, but it's also providing you with content, right, Like,

476
00:25:27,200 --> 00:25:28,800
Speaker 2: do you know what I mean? It's all it's all content,

477
00:25:29,280 --> 00:25:31,960
Speaker 2: the exactly, And I think that's that's a part of

478
00:25:32,000 --> 00:25:36,400
Speaker 2: the reason why you're energized, because you are busy, and

479
00:25:36,440 --> 00:25:39,119
Speaker 2: you are trying really hard to do good things for people,

480
00:25:39,200 --> 00:25:41,600
Speaker 2: and you know, and you don't want to fuck it up, right,

481
00:25:41,640 --> 00:25:42,159
Speaker 2: So yeah.

482
00:25:42,000 --> 00:25:43,280
Speaker 1: I don't want to suck it up. I also think

483
00:25:43,320 --> 00:25:48,760
Speaker 1: that like Court's been crazy, right, but I'm also seeing

484
00:25:48,920 --> 00:25:52,840
Speaker 1: wins everywhere, Like there are a lot of I think,

485
00:25:52,920 --> 00:25:58,520
Speaker 1: the crazier it gets, it's usually crazy for this administration

486
00:25:59,520 --> 00:26:02,439
Speaker 1: because they've like kicked a hornet's nest or tried to

487
00:26:02,480 --> 00:26:06,320
Speaker 1: do something or whatever. And there are more and more

488
00:26:06,320 --> 00:26:09,840
Speaker 1: people that I'm seeing in the federal courts and in

489
00:26:09,880 --> 00:26:14,960
Speaker 1: the immigration system who are clapping back or doing something

490
00:26:15,680 --> 00:26:19,879
Speaker 1: in response to the right it's a house of cards

491
00:26:19,880 --> 00:26:22,080
Speaker 1: that we're sort of dealing with right now. And so

492
00:26:22,480 --> 00:26:27,120
Speaker 1: as where as that's sort of crumbling, more and more

493
00:26:27,160 --> 00:26:29,760
Speaker 1: people are dog piling, and so I do see these

494
00:26:29,800 --> 00:26:34,719
Speaker 1: like little moments, these windows in what feels often feels

495
00:26:34,760 --> 00:26:38,760
Speaker 1: like a fascist, totalitarian institution. When I have to go

496
00:26:38,800 --> 00:26:42,000
Speaker 1: to court and work on certain cases. But then I

497
00:26:42,080 --> 00:26:45,960
Speaker 1: see these little clement where I'm like, oh wow, it's

498
00:26:45,960 --> 00:26:48,320
Speaker 1: been dark for so long, right and someone just opened

499
00:26:48,320 --> 00:26:49,080
Speaker 1: like the mousehole.

500
00:26:49,160 --> 00:26:50,520
Speaker 2: Yeah, it's a glimmer of lights.

501
00:26:50,560 --> 00:26:53,919
Speaker 1: Oh yeah, okay, cool. I can kind of see. But

502
00:26:54,080 --> 00:26:56,719
Speaker 1: not everyone gets those moments to see that. So I

503
00:26:56,760 --> 00:26:58,480
Speaker 1: have all this energy and then everyone around me is

504
00:26:58,520 --> 00:27:00,280
Speaker 1: like collapsing in the street.

505
00:27:00,040 --> 00:27:03,680
Speaker 2: Because it's just it's so appalling, and you just feel

506
00:27:03,720 --> 00:27:06,440
Speaker 2: like it's just going to get worse. It is, and

507
00:27:07,560 --> 00:27:09,960
Speaker 2: I think it will get worse before it gets better.

508
00:27:10,000 --> 00:27:10,720
Speaker 2: He's not done.

509
00:27:11,000 --> 00:27:14,640
Speaker 1: Something is going to happen at the midterms. What there

510
00:27:14,680 --> 00:27:18,680
Speaker 1: will be ICE presence at the midterm election at the booths? Absolutely,

511
00:27:18,720 --> 00:27:23,600
Speaker 1: that is my prediction. Absolutely. He sent ICE agents to

512
00:27:24,320 --> 00:27:28,960
Speaker 1: airports within hours. They were there overnight. There was no

513
00:27:29,600 --> 00:27:33,520
Speaker 1: congressional approval there, they had the funding and he decided

514
00:27:33,640 --> 00:27:37,120
Speaker 1: and there they were. So the notion that he's not

515
00:27:37,160 --> 00:27:40,399
Speaker 1: going to do that in Georgia, but he's not going

516
00:27:40,440 --> 00:27:43,920
Speaker 1: to do that in a key battleground state is it's

517
00:27:44,800 --> 00:27:47,120
Speaker 1: who are you fooling? You're in denial if you don't

518
00:27:47,119 --> 00:27:51,439
Speaker 1: think that's going to happen. Speaking to you Congress people. Right, So,

519
00:27:52,600 --> 00:27:56,440
Speaker 1: I think that we're going to see something happen. Will

520
00:27:56,440 --> 00:27:59,440
Speaker 1: it affect the outcome, I don't know, but there will

521
00:27:59,480 --> 00:28:02,119
Speaker 1: be some form of ICE voter intimidation at the poles

522
00:28:02,200 --> 00:28:06,720
Speaker 1: for sure. And I think people think, oh, well, undocumented

523
00:28:06,720 --> 00:28:09,320
Speaker 1: people shouldn't be voting, they're not supposed to be voting. Yes,

524
00:28:09,359 --> 00:28:10,359
Speaker 1: that's absolutely true.

525
00:28:10,400 --> 00:28:11,000
Speaker 2: That is true.

526
00:28:11,240 --> 00:28:14,200
Speaker 1: However, there are a lot of documented people who can

527
00:28:14,320 --> 00:28:17,399
Speaker 1: vote who are afraid of ICE. Yes, they actually, I

528
00:28:17,400 --> 00:28:19,879
Speaker 1: would say, like most of them. Yeah, right, black and

529
00:28:19,920 --> 00:28:21,200
Speaker 1: brown people because.

530
00:28:21,040 --> 00:28:26,840
Speaker 2: Imic people, ICE grabs and asks questions later. Oh yes, right.

531
00:28:27,000 --> 00:28:30,640
Speaker 1: So literally, I would say a third of my clients

532
00:28:30,720 --> 00:28:33,440
Speaker 1: right now are people who have immigration status and I'm

533
00:28:33,440 --> 00:28:36,399
Speaker 1: trying to get them out of removal proceedings right because

534
00:28:36,440 --> 00:28:40,920
Speaker 1: they were picked up for being brown they went to Yeah. Absolutely,

535
00:28:41,440 --> 00:28:46,480
Speaker 1: So we know that this organization ICE has no problem

536
00:28:46,920 --> 00:28:49,640
Speaker 1: picking people up, shooting white people in the face. Like.

537
00:28:50,200 --> 00:28:53,000
Speaker 1: So the notion that he's not going to use them is.

538
00:28:53,280 --> 00:28:56,360
Speaker 2: Just as his sort of personal his personal like his

539
00:28:56,440 --> 00:28:58,280
Speaker 2: secret police or absolutely.

540
00:28:58,360 --> 00:29:02,920
Speaker 1: Yeah, literally, yes, So we do have the luxury of

541
00:29:02,960 --> 00:29:06,520
Speaker 1: time as we march towards the midterm elections. So I

542
00:29:06,520 --> 00:29:10,960
Speaker 1: want us all to be pressuring our representatives to do.

543
00:29:11,000 --> 00:29:13,200
Speaker 2: Something, to do, to stand up, to stand up.

544
00:29:13,280 --> 00:29:18,760
Speaker 1: Yeah about voter suppression. It is so important. We're watching everything,

545
00:29:18,960 --> 00:29:21,360
Speaker 1: like so many there is. There's such a blue wave

546
00:29:21,440 --> 00:29:24,080
Speaker 1: right now in America. All these special elections are turning around.

547
00:29:24,760 --> 00:29:27,240
Speaker 1: Are you watching some of It's unbelievable.

548
00:29:27,440 --> 00:29:30,680
Speaker 2: It is, and it is encouraging. And like you said,

549
00:29:30,800 --> 00:29:33,040
Speaker 2: I have to remember that these are the little glimmers

550
00:29:33,040 --> 00:29:36,520
Speaker 2: of light right that people are and also people who

551
00:29:36,960 --> 00:29:40,720
Speaker 2: were Trump supporters who are now who were saying, I

552
00:29:40,800 --> 00:29:44,360
Speaker 2: voted for him three times. And you know what, I

553
00:29:44,400 --> 00:29:48,920
Speaker 2: am disappointed. He has disappointed me. And I think that

554
00:29:49,840 --> 00:29:51,560
Speaker 2: you know, all the things that he said that he

555
00:29:51,720 --> 00:29:54,080
Speaker 2: was going to do, right, he was going to lower

556
00:29:54,160 --> 00:29:57,840
Speaker 2: grocery prices more expensive than ever. He wasn't going to

557
00:29:57,920 --> 00:30:01,560
Speaker 2: go to war here we are price he was going

558
00:30:01,680 --> 00:30:04,800
Speaker 2: to you know, deal with the Epstein stuff.

559
00:30:05,640 --> 00:30:05,880
Speaker 1: Yeah.

560
00:30:05,920 --> 00:30:07,520
Speaker 2: So all the things that he said that he was

561
00:30:07,560 --> 00:30:11,720
Speaker 2: going to do, he hasn't and they've completely turned around.

562
00:30:11,760 --> 00:30:14,960
Speaker 2: And I think people are like, you know what, he's bullshit.

563
00:30:15,040 --> 00:30:18,920
Speaker 1: Yeah, yeah, so it is. There is so much change happening.

564
00:30:18,960 --> 00:30:23,440
Speaker 1: I just want us to keep our foot on the

565
00:30:23,560 --> 00:30:27,640
Speaker 1: necks of our representatives to make sure that voters aren't

566
00:30:27,640 --> 00:30:30,800
Speaker 1: suppressed this fall, because it's coming up. We're all going

567
00:30:30,880 --> 00:30:33,960
Speaker 1: to go enjoy summer and then it's going to be

568
00:30:33,960 --> 00:30:35,760
Speaker 1: here before we know it. So like now really is

569
00:30:35,760 --> 00:30:36,120
Speaker 1: the time?

570
00:30:36,240 --> 00:30:36,680
Speaker 2: Yeah?

571
00:30:36,760 --> 00:30:39,440
Speaker 1: Do you see the the guy at the Courtyard Marriott

572
00:30:40,080 --> 00:30:43,200
Speaker 1: drinking wine. He's on a work trip at the Courtyard

573
00:30:43,240 --> 00:30:48,040
Speaker 1: Marriotte in Westbury, New York, on Long Island, and the

574
00:30:48,040 --> 00:30:53,000
Speaker 1: the the lobby bar keeps pouring him like huge pores

575
00:30:53,040 --> 00:30:54,360
Speaker 1: of white wine.

576
00:30:54,160 --> 00:30:56,120
Speaker 2: Like mugs of white wine.

577
00:30:56,720 --> 00:31:00,280
Speaker 1: Okay, every single day he updates the Internet about his

578
00:31:00,360 --> 00:31:02,680
Speaker 1: glass of wine. This is so niche. This is like

579
00:31:02,840 --> 00:31:07,280
Speaker 1: my curated algorithm. But if you know, you know there

580
00:31:07,400 --> 00:31:10,040
Speaker 1: is people are just posting photos of huge glasses of

581
00:31:10,040 --> 00:31:12,360
Speaker 1: white wine all over my feed now because of this

582
00:31:12,480 --> 00:31:16,360
Speaker 1: one guy who's at the Courtyard Courtyard Marriyout in West

583
00:31:16,720 --> 00:31:19,320
Speaker 1: New York on a work trip, getting drunk in the.

584
00:31:19,200 --> 00:31:24,560
Speaker 2: Lobby getting wine wine lobby bar. I wonder if it's

585
00:31:25,200 --> 00:31:27,960
Speaker 2: and then oh it's peanutree show, okay, thanks, and the

586
00:31:28,000 --> 00:31:31,280
Speaker 2: bar closes at ten pm. So he goes at nine

587
00:31:31,400 --> 00:31:32,560
Speaker 2: fifty five and she.

588
00:31:33,160 --> 00:31:35,320
Speaker 1: Look look look, look, look, look look look fills that

589
00:31:35,560 --> 00:31:37,800
Speaker 1: all the way up the wine glass to is she's

590
00:31:37,800 --> 00:31:41,040
Speaker 1: trying to empty out the bottle because he's like, I'm

591
00:31:41,080 --> 00:31:44,240
Speaker 1: in Westbury, New York for for a work trip. Huh,

592
00:31:44,520 --> 00:31:45,400
Speaker 1: I'm going to get drunk.

593
00:31:45,640 --> 00:31:46,520
Speaker 2: I'm sorry, I'm.

594
00:31:46,360 --> 00:31:48,040
Speaker 1: Going to get drunk every night. Please fill up my

595
00:31:48,080 --> 00:31:51,959
Speaker 1: glass of fly. Okay, all right, let's take a break.

596
00:31:55,440 --> 00:31:57,720
Speaker 1: Let's get into under oath. This is a deep dive

597
00:31:57,760 --> 00:32:00,479
Speaker 1: into a topic of what's happening right now now. I

598
00:32:00,560 --> 00:32:03,120
Speaker 1: think we want to talk about what's going on in

599
00:32:03,120 --> 00:32:06,480
Speaker 1: the Hungry election, which the results came back yesterday.

600
00:32:06,000 --> 00:32:09,360
Speaker 2: I know, and they were very exciting. They were exciting.

601
00:32:09,440 --> 00:32:12,680
Speaker 2: We're happy for them. I think what's really interesting is

602
00:32:12,880 --> 00:32:19,160
Speaker 2: how shocked Oban was like he was just like like

603
00:32:19,200 --> 00:32:25,760
Speaker 2: he was just like, really you sure? I wonder if

604
00:32:25,920 --> 00:32:29,800
Speaker 2: that is going to be significant in the sense of, like,

605
00:32:30,480 --> 00:32:32,480
Speaker 2: are we seeing like the winds change a little bit

606
00:32:32,560 --> 00:32:35,440
Speaker 2: that people are like pushing back on that kind of thing.

607
00:32:36,120 --> 00:32:36,760
Speaker 2: What do you think?

608
00:32:36,960 --> 00:32:41,480
Speaker 1: I hope? So yeah, I am like very hopeful, but

609
00:32:42,000 --> 00:32:47,760
Speaker 1: I have also been like beaten with a stick, So

610
00:32:47,840 --> 00:32:54,440
Speaker 1: I feel like maybe like hopeful asterist, let's cover, let's

611
00:32:54,440 --> 00:32:56,480
Speaker 1: like go through it, because I actually didn't follow it

612
00:32:56,600 --> 00:32:59,400
Speaker 1: super close, and then I kind of was late to

613
00:32:59,400 --> 00:33:02,520
Speaker 1: the party. So after sixteen years in power, Victor Orbon

614
00:33:02,760 --> 00:33:06,320
Speaker 1: and his party were defeated in a historic election.

615
00:33:06,640 --> 00:33:10,480
Speaker 2: And they were slaughtered. Yeah, it was a shall lacking, right,

616
00:33:10,840 --> 00:33:15,840
Speaker 2: It wasn't close. It was overwhelming. The loss was overwhelming.

617
00:33:16,280 --> 00:33:19,160
Speaker 2: And this is what I was saying. He was he

618
00:33:19,280 --> 00:33:21,960
Speaker 2: seemed so taken aback by it.

619
00:33:21,960 --> 00:33:25,680
Speaker 1: It has ended one of Europe's most entrenched populist governments.

620
00:33:26,480 --> 00:33:29,880
Speaker 2: But I read earlier also was that for the first

621
00:33:29,920 --> 00:33:34,200
Speaker 2: time the people who came out to vote it was

622
00:33:34,200 --> 00:33:38,360
Speaker 2: something like eighty percent of the population. It's a huge,

623
00:33:38,560 --> 00:33:39,320
Speaker 2: huge number.

624
00:33:39,720 --> 00:33:42,560
Speaker 1: Massive public engagement, is what I'm seeing. And I feel

625
00:33:42,560 --> 00:33:45,520
Speaker 1: like this is happening in America too. Right, there's an

626
00:33:45,520 --> 00:33:49,000
Speaker 1: analog here where we can say that so much of

627
00:33:49,120 --> 00:33:53,640
Speaker 1: new policy and administration in America is affecting populations that

628
00:33:54,080 --> 00:33:57,360
Speaker 1: wasn't affecting them before. Right. Everyone has to drive to work,

629
00:33:57,440 --> 00:33:59,760
Speaker 1: everyone has to pay at the pump, everyone has to

630
00:33:59,760 --> 00:34:04,400
Speaker 1: buy groceries. And so even these even you know, the

631
00:34:04,440 --> 00:34:06,920
Speaker 1: ignorant people who are like, well, I'm not political. Your

632
00:34:06,960 --> 00:34:11,080
Speaker 1: existence is political. It always has been. You're now more acutely.

633
00:34:10,719 --> 00:34:12,120
Speaker 2: Aware of maybe you're feeling it more.

634
00:34:12,280 --> 00:34:14,799
Speaker 1: Yeah, And so I think that you know, that eighty

635
00:34:14,840 --> 00:34:18,200
Speaker 1: percent turnout in Hungary is directly related to, I think,

636
00:34:18,239 --> 00:34:20,520
Speaker 1: what we can expect in the midterms and in the

637
00:34:20,560 --> 00:34:24,680
Speaker 1: next primary election in the US, because so much of

638
00:34:24,719 --> 00:34:27,960
Speaker 1: the new policies in America are hitting populations that just

639
00:34:28,000 --> 00:34:33,279
Speaker 1: weren't feeling politics traditionally before, right, people of color, gay people,

640
00:34:33,320 --> 00:34:36,120
Speaker 1: we've always been acutely aware of what's going on in politics.

641
00:34:36,160 --> 00:34:39,439
Speaker 1: We have to be because legislation literally is deciding whether

642
00:34:39,480 --> 00:34:43,920
Speaker 1: we live or die contexts. So that eighty percent, I think,

643
00:34:44,040 --> 00:34:47,359
Speaker 1: is like an interesting marker of what could potentially happen

644
00:34:47,400 --> 00:34:48,120
Speaker 1: in the US.

645
00:34:48,400 --> 00:34:51,160
Speaker 2: I think the other thing that my understanding of what

646
00:34:51,200 --> 00:34:54,279
Speaker 2: was happening in Hungary is that the people just sort

647
00:34:54,320 --> 00:34:59,040
Speaker 2: of finally had enough. Yes, right, that people of Hungary

648
00:34:59,080 --> 00:35:00,920
Speaker 2: were really struggling with poverty.

649
00:35:00,840 --> 00:35:01,000
Speaker 1: Yes.

650
00:35:01,360 --> 00:35:06,480
Speaker 2: Meanwhile, he had, you know, like a zoo in his home, right,

651
00:35:06,520 --> 00:35:08,719
Speaker 2: So if you if you have like a pet peacock

652
00:35:08,920 --> 00:35:12,600
Speaker 2: or you know, a zebra, but you're expecting me to

653
00:35:12,719 --> 00:35:16,920
Speaker 2: not be able to feed my family, Eventually, enough is

654
00:35:16,960 --> 00:35:18,759
Speaker 2: going to be enough, and I'm going to figure out

655
00:35:18,800 --> 00:35:19,920
Speaker 2: a way to rebel I.

656
00:35:19,880 --> 00:35:22,200
Speaker 1: Mean these are A to B comparisons, right, Like we

657
00:35:22,239 --> 00:35:25,360
Speaker 1: can compare the Zoo to the New White House ballroom.

658
00:35:25,040 --> 00:35:29,279
Speaker 2: Right and the and the his arc. What you didn't

659
00:35:29,280 --> 00:35:33,400
Speaker 2: see the arc? No, it looks like it looks like Trump.

660
00:35:34,520 --> 00:35:35,759
Speaker 2: It looks like I.

661
00:35:35,680 --> 00:35:38,080
Speaker 1: Thought this was in Hungary. And this is why I

662
00:35:38,080 --> 00:35:40,000
Speaker 1: don't go to DC. That's why I hate going to

663
00:35:40,080 --> 00:35:43,319
Speaker 1: d C. What is that? That's Washington Square Park.

664
00:35:43,360 --> 00:35:45,840
Speaker 2: It's not Washington Square Park. It's the arc that Trump

665
00:35:45,960 --> 00:35:50,160
Speaker 2: wants to build in the Potomac as a monument to himself.

666
00:35:51,560 --> 00:35:57,520
Speaker 1: I mean the audacity, the audacity of Hope, the audacity

667
00:35:57,640 --> 00:36:01,040
Speaker 1: of Trump to build a monument to I mean, did

668
00:36:01,080 --> 00:36:03,240
Speaker 1: you see wait, did you see the like vigilante artists

669
00:36:03,280 --> 00:36:07,200
Speaker 1: who made Trump and Epstein embracing like the Titanic and

670
00:36:07,239 --> 00:36:12,600
Speaker 1: put it no, it's huge, and then put it right

671
00:36:12,640 --> 00:36:15,800
Speaker 1: by the uh like the Washington Monument.

672
00:36:18,880 --> 00:36:20,319
Speaker 2: I love that. No, I didn't see it.

673
00:36:20,480 --> 00:36:22,680
Speaker 1: They like did it overnight? Yeah? But I think like

674
00:36:22,760 --> 00:36:25,440
Speaker 1: the direct connection to what's happening, what happened in the

675
00:36:25,520 --> 00:36:30,200
Speaker 1: Hungry election is that it wasn't that who was running

676
00:36:30,320 --> 00:36:33,839
Speaker 1: was very compelling. And let's face it, going into an

677
00:36:33,840 --> 00:36:37,440
Speaker 1: election with we don't. I don't know. What do you

678
00:36:37,600 --> 00:36:40,960
Speaker 1: know of any Democratic potential candidates who are blowing your

679
00:36:41,000 --> 00:36:43,240
Speaker 1: socks off? Because I am for me, it's Gavin Newsom,

680
00:36:43,360 --> 00:36:44,160
Speaker 1: is all I've really heard.

681
00:36:44,320 --> 00:36:46,920
Speaker 2: Yeah, And I'm like, okay, but we you know, I

682
00:36:47,320 --> 00:36:51,120
Speaker 2: not very excited, not super excited. I think I think

683
00:36:52,040 --> 00:36:53,160
Speaker 2: desperation has set in.

684
00:36:53,400 --> 00:36:53,680
Speaker 1: Yeah.

685
00:36:53,800 --> 00:36:58,560
Speaker 2: Right, So it's it's like what we did with Biden, Right,

686
00:36:59,000 --> 00:37:01,400
Speaker 2: we really thought we were like, all right, uncle Joe,

687
00:37:01,520 --> 00:37:04,600
Speaker 2: come in to save us. We needed saving, right, And

688
00:37:04,680 --> 00:37:07,040
Speaker 2: I kept on saying like he is going to be

689
00:37:07,560 --> 00:37:10,239
Speaker 2: for people who watched Game of Thrones President Hodor, right,

690
00:37:10,320 --> 00:37:12,279
Speaker 2: like he was just going to hold the door. That's

691
00:37:12,320 --> 00:37:14,080
Speaker 2: what he was going to do. Is it too soon?

692
00:37:14,160 --> 00:37:18,360
Speaker 1: So for that sorry god, but devastating episode ten years.

693
00:37:18,200 --> 00:37:22,439
Speaker 2: Ago, But that's what we thought he was going to do.

694
00:37:23,239 --> 00:37:26,720
Speaker 2: And we watched him get older and sort of feeling

695
00:37:26,760 --> 00:37:28,840
Speaker 2: like maybe he's not as with it as he supposed

696
00:37:28,840 --> 00:37:32,480
Speaker 2: to be, and also thinking that Kamala was going to

697
00:37:32,520 --> 00:37:36,560
Speaker 2: sort of like do something to make us more excited

698
00:37:36,800 --> 00:37:37,439
Speaker 2: about her.

699
00:37:37,920 --> 00:37:41,000
Speaker 1: Instead they were like, Kamala, you're in charge of the border.

700
00:37:41,080 --> 00:37:44,000
Speaker 2: Right, fix that. Fix that. She was it's an impossible

701
00:37:44,280 --> 00:37:45,320
Speaker 2: an impossible task.

702
00:37:45,440 --> 00:37:48,600
Speaker 1: Right then we had Brad Summer, which is like, how

703
00:37:48,800 --> 00:37:52,040
Speaker 1: if you can't win with broad Summer, you can't. You

704
00:37:52,040 --> 00:37:54,600
Speaker 1: shouldn't be running. She talked about running again. You think

705
00:37:54,600 --> 00:37:55,479
Speaker 1: she's going to run again?

706
00:37:55,560 --> 00:37:58,080
Speaker 2: She said she had said that she wasn't. And then

707
00:37:58,200 --> 00:38:00,160
Speaker 2: recently I heard that there's something.

708
00:38:00,239 --> 00:38:04,319
Speaker 1: And the thing about it is the TikTok impersonators of

709
00:38:04,400 --> 00:38:05,360
Speaker 1: Kamala's voice.

710
00:38:05,800 --> 00:38:09,280
Speaker 2: The thing about it was the reason why once Biden

711
00:38:09,440 --> 00:38:15,040
Speaker 2: dropped out again desperation and we were like okay, Kamala

712
00:38:15,120 --> 00:38:16,760
Speaker 2: and we were all in behind.

713
00:38:16,960 --> 00:38:17,520
Speaker 1: I was excited.

714
00:38:17,719 --> 00:38:20,600
Speaker 2: Was I was excited because she was all that we had.

715
00:38:20,960 --> 00:38:22,839
Speaker 1: Yeah, I mean she's a prosecutor.

716
00:38:22,400 --> 00:38:25,040
Speaker 2: So she was all that she was all that we had.

717
00:38:25,280 --> 00:38:29,480
Speaker 2: And now that's what I'm so disappointed about the Democratic Party,

718
00:38:29,560 --> 00:38:30,240
Speaker 2: Like there's.

719
00:38:30,160 --> 00:38:33,480
Speaker 1: No investment in the next Yeah, there's no.

720
00:38:33,719 --> 00:38:38,920
Speaker 2: Star, right, there's like there isn't anybody who I'm like, yes, yes,

721
00:38:39,040 --> 00:38:41,120
Speaker 2: that is the person that is who we need.

722
00:38:41,200 --> 00:38:43,200
Speaker 1: And so I think what happened in Hungary was it

723
00:38:43,239 --> 00:38:47,799
Speaker 1: wasn't that may Yard, it wasn't that he was so extraordinary.

724
00:38:48,400 --> 00:38:51,000
Speaker 1: It was that people were so frustrated. Correct, And I

725
00:38:51,520 --> 00:38:56,160
Speaker 1: wonder if that's what Democratic DANC leadership is going to

726
00:38:56,239 --> 00:38:59,120
Speaker 1: be thinking as they're getting ready for the next election.

727
00:38:59,560 --> 00:39:03,320
Speaker 2: I hate that. Though I know I want to be

728
00:39:03,560 --> 00:39:04,840
Speaker 2: excited about the product.

729
00:39:04,840 --> 00:39:06,440
Speaker 1: I don't want to be the prom date that you

730
00:39:06,480 --> 00:39:08,880
Speaker 1: pick because everyone else said.

731
00:39:08,680 --> 00:39:11,280
Speaker 2: No, or like, you know, you're doing somebody a favor.

732
00:39:11,440 --> 00:39:14,680
Speaker 1: It's like Hermione when Ron asked Hermione after he asked

733
00:39:14,760 --> 00:39:18,120
Speaker 1: everyone else, no, he didn't go to the Yeah, he

734
00:39:18,160 --> 00:39:20,920
Speaker 1: asked Flair to go to the duel ball, and then

735
00:39:20,960 --> 00:39:24,800
Speaker 1: Hermione was like, actually, actually I got I got a date. Yeah,

736
00:39:24,840 --> 00:39:28,000
Speaker 1: So I feel like, are we going to Is that

737
00:39:28,040 --> 00:39:31,040
Speaker 1: what we're going to do with our next election? Guys like, that's.

738
00:39:30,920 --> 00:39:31,600
Speaker 2: What it feels like.

739
00:39:31,719 --> 00:39:32,200
Speaker 1: Yeah, I don't.

740
00:39:32,320 --> 00:39:34,320
Speaker 2: I'm not you know, I'm not hearing anything.

741
00:39:34,680 --> 00:39:35,920
Speaker 1: I'm not hearing anything.

742
00:39:36,080 --> 00:39:38,560
Speaker 2: I'm not hearing anything. All I see is Gavin sort

743
00:39:38,600 --> 00:39:39,359
Speaker 2: of coming.

744
00:39:39,040 --> 00:39:42,040
Speaker 1: Out tuning my ear piece.

745
00:39:42,360 --> 00:39:45,280
Speaker 2: I'm here, I'm not hearing anything. It's just Gavin coming

746
00:39:45,280 --> 00:39:49,800
Speaker 2: out over and over again, and it's it's he's fine.

747
00:39:50,000 --> 00:39:52,319
Speaker 1: There are so many problems with Gavin Newsom.

748
00:39:52,600 --> 00:39:57,640
Speaker 2: There are, but who else right now? Who else is there?

749
00:39:57,719 --> 00:40:00,800
Speaker 1: Right? Oh? Wait? What happened with that guy? I'm totally

750
00:40:00,800 --> 00:40:04,400
Speaker 1: blanking on his name. He's running, he was running for election,

751
00:40:04,920 --> 00:40:09,279
Speaker 1: sexual accusations republic He was like, I'm not stepping down,

752
00:40:09,320 --> 00:40:11,520
Speaker 1: and he did, and he did, and Republicans were like,

753
00:40:11,520 --> 00:40:13,279
Speaker 1: we're going to come for you. And then he'd stepped down.

754
00:40:13,560 --> 00:40:14,239
Speaker 2: He stepped down.

755
00:40:14,520 --> 00:40:17,520
Speaker 1: Eric Swawell, Yes, Eric, Yes.

756
00:40:18,840 --> 00:40:20,920
Speaker 2: And I didn't know who he was. You know, I

757
00:40:20,920 --> 00:40:21,600
Speaker 2: didn't know who he wasn't.

758
00:40:21,920 --> 00:40:24,240
Speaker 1: I had to explain it, man, explain it to me. Really,

759
00:40:24,280 --> 00:40:26,560
Speaker 1: I'm in a same sex relationship. There's twice as much

760
00:40:26,560 --> 00:40:27,120
Speaker 1: man's plaining.

761
00:40:27,280 --> 00:40:28,000
Speaker 2: Sorry to hear that.

762
00:40:28,080 --> 00:40:31,799
Speaker 1: Yeah, everything gets man'splained in this house. In this house, we.

763
00:40:31,800 --> 00:40:35,320
Speaker 2: Believe that man's plaining is important.

764
00:40:35,600 --> 00:40:36,479
Speaker 1: Laugh man's plain.

765
00:40:38,560 --> 00:40:41,880
Speaker 2: But you know, I didn't know who he was. But again,

766
00:40:42,000 --> 00:40:45,080
Speaker 2: it was so disappointing, right, It's like, and the other

767
00:40:45,160 --> 00:40:48,880
Speaker 2: thing is, what does this mean? We are learning more

768
00:40:48,960 --> 00:40:52,799
Speaker 2: and more about mostly men. I'm not saying that it's

769
00:40:52,800 --> 00:41:00,480
Speaker 2: always men, but mostly men who are just abusers, right,

770
00:41:01,000 --> 00:41:05,839
Speaker 2: their pedophiles, they're sexually aggressive, they they're a rapist. They

771
00:41:05,960 --> 00:41:07,840
Speaker 2: you know what is that about?

772
00:41:08,000 --> 00:41:08,120
Speaker 3: Right?

773
00:41:08,239 --> 00:41:08,319
Speaker 1: Like?

774
00:41:08,400 --> 00:41:12,239
Speaker 2: I just wonder what it is about? Is it that

775
00:41:12,280 --> 00:41:14,480
Speaker 2: we're just learning about it? Because now we have more

776
00:41:14,520 --> 00:41:19,400
Speaker 2: access to information. Has it always been this way? Like

777
00:41:19,520 --> 00:41:23,440
Speaker 2: I was, I remember working with a woman, you know,

778
00:41:23,480 --> 00:41:25,239
Speaker 2: when Me Too came out, everybody came out with their

779
00:41:25,239 --> 00:41:28,360
Speaker 2: own stories of things that happened. And she said that

780
00:41:28,480 --> 00:41:31,520
Speaker 2: when she was a teenager, she worked at a bakery,

781
00:41:32,360 --> 00:41:35,880
Speaker 2: and she said that all the girls there was the

782
00:41:36,400 --> 00:41:41,400
Speaker 2: owners only hired young women to work there, and everyone

783
00:41:41,520 --> 00:41:45,440
Speaker 2: knew not to get stuck in the back with Joe

784
00:41:45,680 --> 00:41:48,359
Speaker 2: because he was and she was like every and everybody knew,

785
00:41:48,400 --> 00:41:52,399
Speaker 2: and like the girls would watch out, Hey he's back there.

786
00:41:52,800 --> 00:41:54,600
Speaker 2: I'll go with you, or don't go at all, or

787
00:41:54,600 --> 00:41:59,600
Speaker 2: whatever it was, And like women have always had to

788
00:42:00,040 --> 00:42:05,120
Speaker 2: learn how to circumvent that kind of thing, and it

789
00:42:05,239 --> 00:42:07,960
Speaker 2: is something, you know, I think if you sort of

790
00:42:08,400 --> 00:42:10,800
Speaker 2: throw something out take a poll. I want to say

791
00:42:10,880 --> 00:42:17,760
Speaker 2: that I started occasionally feeling uncomfortable by the male gaze

792
00:42:17,800 --> 00:42:20,000
Speaker 2: when I was like twelve or thirteen years old. Really,

793
00:42:20,160 --> 00:42:23,400
Speaker 2: and I'm not alone, I am not alone, and it's

794
00:42:23,680 --> 00:42:27,279
Speaker 2: it's sort of like walking down the street, you know.

795
00:42:27,320 --> 00:42:29,400
Speaker 2: And I think about this. The thirteen years old, I

796
00:42:29,480 --> 00:42:34,880
Speaker 2: was in my Catholic elementary school uniform, right and feeling

797
00:42:34,960 --> 00:42:39,040
Speaker 2: like a lecherous look, feeling it and not knowing what

798
00:42:39,080 --> 00:42:41,600
Speaker 2: to do about because I was a child, right And

799
00:42:41,640 --> 00:42:42,520
Speaker 2: what kind of a.

800
00:42:42,480 --> 00:42:43,840
Speaker 1: Grown you don't understand?

801
00:42:43,920 --> 00:42:46,640
Speaker 2: You don't understand, right? And what kind of a grown

802
00:42:47,800 --> 00:42:52,319
Speaker 2: man that's what he's doing? Yeah, you know.

803
00:42:52,360 --> 00:42:54,920
Speaker 1: And then incites like a trauma response, oh for sure,

804
00:42:55,040 --> 00:42:58,040
Speaker 1: and like a young mind right, like and it shapes

805
00:42:58,080 --> 00:42:58,800
Speaker 1: how your brain.

806
00:42:58,640 --> 00:42:59,839
Speaker 2: Develops one hundred percent.

807
00:43:00,080 --> 00:43:03,279
Speaker 1: Uh. I do think part of it has to do

808
00:43:03,400 --> 00:43:05,920
Speaker 1: with access to information now, like people, it's easier for

809
00:43:06,120 --> 00:43:07,520
Speaker 1: victims to connect with each other.

810
00:43:07,600 --> 00:43:08,960
Speaker 2: I feel like, yeah, it is.

811
00:43:09,520 --> 00:43:13,640
Speaker 1: And especially when you are a public figure like that,

812
00:43:13,840 --> 00:43:16,759
Speaker 1: like so many, it's easy for people easy you're for

813
00:43:16,840 --> 00:43:21,120
Speaker 1: people to come forward. I do love to see that

814
00:43:21,200 --> 00:43:23,520
Speaker 1: we are taking it seriously and we're listening to women,

815
00:43:23,600 --> 00:43:24,759
Speaker 1: because that isn't always.

816
00:43:24,520 --> 00:43:25,920
Speaker 2: The case, correct, correct.

817
00:43:26,040 --> 00:43:29,160
Speaker 1: We just saw it with Pam Bondi and her ignoring

818
00:43:29,280 --> 00:43:30,200
Speaker 1: hundreds of victims.

819
00:43:30,680 --> 00:43:33,400
Speaker 2: For you would and one would hope that as a

820
00:43:33,440 --> 00:43:37,440
Speaker 2: woman herself. No, and I hear you, but like that's.

821
00:43:37,200 --> 00:43:40,120
Speaker 1: Not a woman. That's a monster. Sorry, she doesn't get

822
00:43:40,160 --> 00:43:42,759
Speaker 1: to call herself a woman. That's a crazy bitch.

823
00:43:42,520 --> 00:43:44,960
Speaker 2: She's evil, No, for sure, for sure? For sure. I

824
00:43:45,000 --> 00:43:47,759
Speaker 2: mean it's like, but like Megan Kelly, for example, who

825
00:43:47,840 --> 00:43:52,000
Speaker 2: was talking about how you know Epstein, he liked them

826
00:43:52,040 --> 00:43:53,239
Speaker 2: barely legal, like.

827
00:43:53,239 --> 00:43:55,840
Speaker 1: Megan Kelly can eat it and die, like I truly

828
00:43:55,920 --> 00:43:58,439
Speaker 1: hope she gets hit by a bus and I want

829
00:43:58,440 --> 00:44:01,000
Speaker 1: to be there. No, I'm going to use some of

830
00:44:01,000 --> 00:44:04,240
Speaker 1: our camera points on that. I'm gonna how many negative

831
00:44:04,280 --> 00:44:06,080
Speaker 1: Karmera points? Is that in the name of.

832
00:44:06,760 --> 00:44:09,960
Speaker 2: The name of Jesus. I'm going to say that is

833
00:44:10,120 --> 00:44:12,480
Speaker 2: you were negative five?

834
00:44:13,000 --> 00:44:16,640
Speaker 1: Okay. If she's an I'm not going to be sad

835
00:44:16,680 --> 00:44:19,560
Speaker 1: about it. I think that's like negative three. I'm going

836
00:44:19,640 --> 00:44:20,879
Speaker 1: to negotiate it to three.

837
00:44:21,080 --> 00:44:21,480
Speaker 2: Okay.

838
00:44:21,560 --> 00:44:23,600
Speaker 1: You know, Oh my god, did you see the toilet

839
00:44:23,640 --> 00:44:27,600
Speaker 1: paper factory that burned down? No, Kimberly Clark, Oh my god,

840
00:44:28,160 --> 00:44:30,960
Speaker 1: Kimberly Clark. Great drag name. By the way, Someone take that.

841
00:44:31,280 --> 00:44:34,120
Speaker 1: I bet somebody has that because I decided mine is

842
00:44:34,200 --> 00:44:39,520
Speaker 1: Magenta Cartridge Low is a good one. One. Please talkwards

843
00:44:39,520 --> 00:44:44,520
Speaker 1: at the stage. Magenta Cartridge Low. So there is h

844
00:44:44,760 --> 00:44:51,200
Speaker 1: Kimberly Clark, toilet paper Miss Costco loves her Kirk. Yeah, literally,

845
00:44:51,800 --> 00:44:55,560
Speaker 1: the like number one toilet paper provider in America. They

846
00:44:56,920 --> 00:45:01,480
Speaker 1: a worker was so underpaid that he was like fuck this. No,

847
00:45:02,280 --> 00:45:07,520
Speaker 1: lit his lighter and lit this huge warehouse in California

848
00:45:07,600 --> 00:45:10,920
Speaker 1: that housed paper, like a lot of paper. It was

849
00:45:10,960 --> 00:45:14,960
Speaker 1: like the majority of their warehouse stock was in this

850
00:45:15,040 --> 00:45:18,800
Speaker 1: warehouse in California. Went up like well because it was

851
00:45:18,800 --> 00:45:22,520
Speaker 1: a powder Caius paper. Yeah, everyone got out, everyone's safe,

852
00:45:22,520 --> 00:45:25,719
Speaker 1: everyone's fine. And he said you should have paid me more.

853
00:45:26,840 --> 00:45:28,719
Speaker 2: Oh well, now he's going to jail.

854
00:45:28,800 --> 00:45:31,319
Speaker 1: Now he's going to jail. However, everyone online is like

855
00:45:32,040 --> 00:45:36,160
Speaker 1: fair wages. What's up with fair wages? That the Kimberly

856
00:45:36,239 --> 00:45:40,960
Speaker 1: Clark factory because now okay, so their share dropped four

857
00:45:41,000 --> 00:45:46,080
Speaker 1: percent at market opening. Yeah, and everyone is talking about

858
00:45:46,120 --> 00:45:50,160
Speaker 1: fair wages, worker rights at the Kimberly Clark factories. It

859
00:45:50,200 --> 00:45:51,960
Speaker 1: got so bad he burned it to the ground.

860
00:45:52,120 --> 00:45:54,200
Speaker 2: Yeah, I know, But I mean I think it goes

861
00:45:54,200 --> 00:45:57,520
Speaker 2: along with what we've been saying, like as a society,

862
00:45:57,760 --> 00:46:00,200
Speaker 2: we are not okay, we're not okay, we're not okay,

863
00:46:00,239 --> 00:46:00,840
Speaker 2: we're not okay.

864
00:46:00,880 --> 00:46:03,399
Speaker 1: But also corporations listen to us when we say, pay

865
00:46:03,480 --> 00:46:05,840
Speaker 1: us a little bit more so that we can afford

866
00:46:06,280 --> 00:46:09,040
Speaker 1: our I don't know, diabetes medication, so that we can

867
00:46:09,080 --> 00:46:12,160
Speaker 1: afford baby formula. Yes, like literally, just like the bare

868
00:46:12,239 --> 00:46:14,520
Speaker 1: minimum is what people are asking for, and everyone's like

869
00:46:14,840 --> 00:46:18,480
Speaker 1: shareholder value. Sorry, we're gonna put that over your well being.

870
00:46:19,600 --> 00:46:21,719
Speaker 1: And so I think like, sorry, I know there were

871
00:46:21,800 --> 00:46:24,760
Speaker 1: so off topic, but I feel like to us, really

872
00:46:27,640 --> 00:46:30,839
Speaker 1: it reminded me. I had a friend who had a

873
00:46:30,840 --> 00:46:35,360
Speaker 1: performance review at work and it didn't go well. Okay,

874
00:46:35,640 --> 00:46:38,080
Speaker 1: it was like a mid performance review, and this person

875
00:46:38,120 --> 00:46:41,160
Speaker 1: had done like such a ton of work, ate a

876
00:46:41,160 --> 00:46:43,839
Speaker 1: lot of shit for the company, and they gave her

877
00:46:43,880 --> 00:46:45,960
Speaker 1: like a mid They gave her like the middle of

878
00:46:46,000 --> 00:46:49,840
Speaker 1: the road, and so she quit in the performance review

879
00:46:50,480 --> 00:46:52,520
Speaker 1: right there. She was like, you know what, I actually

880
00:46:52,520 --> 00:46:54,680
Speaker 1: did a lot and I'm gonna go yeah. And the

881
00:46:54,719 --> 00:46:59,080
Speaker 1: manager was like, well wait, wait, we know we don't

882
00:46:59,400 --> 00:47:01,640
Speaker 1: don't quit. We don't need you, we don't want you

883
00:47:01,680 --> 00:47:04,040
Speaker 1: to quit. But but but but and she's like, no,

884
00:47:04,120 --> 00:47:06,480
Speaker 1: you just you had the opportunity to reward me for

885
00:47:06,560 --> 00:47:08,680
Speaker 1: my work, and you didn't. You had the opportunity to

886
00:47:08,719 --> 00:47:10,919
Speaker 1: tell me, good job. This is a really tough year.

887
00:47:11,080 --> 00:47:12,840
Speaker 1: I put it all in there, why it was tough,

888
00:47:13,320 --> 00:47:15,799
Speaker 1: how I went above and beyond. You still gave me

889
00:47:16,120 --> 00:47:18,960
Speaker 1: the five out of ten. Whatever. The score was, so

890
00:47:19,000 --> 00:47:23,600
Speaker 1: I'm going to go yeah, and management was devastating, Sure

891
00:47:23,600 --> 00:47:25,440
Speaker 1: they were. And it feels like that where it's like,

892
00:47:26,239 --> 00:47:27,880
Speaker 1: I don't know. It just kind of reminded me of

893
00:47:27,920 --> 00:47:30,080
Speaker 1: that of like, what's it going to take for you

894
00:47:30,160 --> 00:47:34,000
Speaker 1: to recognize that your workers need to be paid? That

895
00:47:34,120 --> 00:47:38,800
Speaker 1: this getting your shareholders a point zero two five percent

896
00:47:38,960 --> 00:47:42,799
Speaker 1: more on their dividend isn't worth the well being of

897
00:47:42,840 --> 00:47:43,560
Speaker 1: your employees.

898
00:47:44,040 --> 00:47:46,920
Speaker 2: Right. Did you see that Oracle laid off something like

899
00:47:47,560 --> 00:47:48,840
Speaker 2: thirty thousand people.

900
00:47:49,239 --> 00:47:53,040
Speaker 1: Oh my god, and they're going to replace them with AI. Now.

901
00:47:53,040 --> 00:47:55,319
Speaker 2: I don't know what they're going to do, but the

902
00:47:55,440 --> 00:47:59,600
Speaker 2: CEO got some kind of insane bonus package.

903
00:47:59,760 --> 00:48:04,840
Speaker 1: Yes, I think about that With Costco. I know Costco

904
00:48:04,920 --> 00:48:07,359
Speaker 1: and Kimberley Clark are connected, but Costco is like its

905
00:48:07,400 --> 00:48:10,800
Speaker 1: own company. I know they sell a lot of Kirkland products,

906
00:48:10,800 --> 00:48:14,880
Speaker 1: but Costco and I think it's Bjay's. Costco pays their

907
00:48:14,880 --> 00:48:18,360
Speaker 1: employees like extremely well, yes, and they stay for up

908
00:48:18,440 --> 00:48:20,879
Speaker 1: to a decade. I think it's like the average. Yes,

909
00:48:21,440 --> 00:48:24,759
Speaker 1: BJ's pays them nothing, and I think they stay less

910
00:48:24,800 --> 00:48:28,240
Speaker 1: than a year each employee. They're constantly cycling through people.

911
00:48:28,880 --> 00:48:30,720
Speaker 1: It's like how much are you spending to recruit people

912
00:48:30,760 --> 00:48:30,960
Speaker 1: like that?

913
00:48:31,160 --> 00:48:34,279
Speaker 2: I mean, I think they just think that people are dispensable, right,

914
00:48:34,320 --> 00:48:36,920
Speaker 2: it doesn't matter. Yeah, and so so just sort of

915
00:48:36,960 --> 00:48:38,960
Speaker 2: back to the spy. I was just thinking about this.

916
00:48:40,400 --> 00:48:43,160
Speaker 2: So you know what this means. The price of toilet

917
00:48:43,160 --> 00:48:43,880
Speaker 2: paper is going to go up.

918
00:48:43,920 --> 00:48:45,800
Speaker 1: Yeah, there's a shortage. There's a shortage because of this,

919
00:48:46,040 --> 00:48:49,200
Speaker 1: like during COVID and like everything else, they're just going

920
00:48:49,239 --> 00:48:52,160
Speaker 1: to pass that four percent cost onto the consumer. Right,

921
00:48:52,600 --> 00:48:55,200
Speaker 1: So it feels like we're at a turning point. Sometimes,

922
00:48:55,280 --> 00:48:58,719
Speaker 1: it feels like we're in this moment where people are

923
00:48:58,719 --> 00:49:01,280
Speaker 1: fed up. They're the Luigi's of the world taking matters

924
00:49:01,320 --> 00:49:03,439
Speaker 1: into their own hands. There are people like the sky

925
00:49:03,560 --> 00:49:07,759
Speaker 1: at the Kirkland factory bringing it all down. We unfortunately,

926
00:49:08,040 --> 00:49:09,440
Speaker 1: and I don't want to get into a space where

927
00:49:09,480 --> 00:49:14,480
Speaker 1: I'm encouraging people. No, we're what we're doing, but looking

928
00:49:14,480 --> 00:49:18,360
Speaker 1: at the facts, looking at the numbers. The shareholders of

929
00:49:18,560 --> 00:49:24,400
Speaker 1: United Healthcare sued. United got together and sued because after

930
00:49:24,520 --> 00:49:29,480
Speaker 1: Luigi allegedly murdered because there hasn't been a conviction there

931
00:49:29,520 --> 00:49:34,040
Speaker 1: correct murdered the CEO, they started approving more claims and

932
00:49:34,080 --> 00:49:37,560
Speaker 1: the shareholders got together and said, no, you prove too

933
00:49:37,560 --> 00:49:40,680
Speaker 1: many claims. You're being reckless with our money. You've got

934
00:49:40,680 --> 00:49:42,960
Speaker 1: to be looking out for us in capitalism where the

935
00:49:42,960 --> 00:49:47,160
Speaker 1: bottom line everything comes down to shareholders, whether or not.

936
00:49:47,440 --> 00:49:49,040
Speaker 2: I mean, it's really interesting.

937
00:49:48,640 --> 00:49:50,920
Speaker 1: They got together and sued so because they proved too

938
00:49:50,920 --> 00:49:51,360
Speaker 1: many claims.

939
00:49:51,440 --> 00:49:55,200
Speaker 2: So they're proving too many claims out of fear. Right.

940
00:49:55,920 --> 00:50:01,040
Speaker 1: Literally the claim approval rating percentage went up after that.

941
00:50:01,840 --> 00:50:07,480
Speaker 1: So people online were like it worked, they said it

942
00:50:07,560 --> 00:50:11,120
Speaker 1: not me, Yeah, they were like it worked.

943
00:50:11,400 --> 00:50:15,440
Speaker 2: But I hate that. And I'm not saying that you.

944
00:50:15,560 --> 00:50:21,200
Speaker 1: Are very French. It's very French. It's like, let's set

945
00:50:21,200 --> 00:50:24,520
Speaker 1: it on fire. You know what, what if we burned

946
00:50:24,520 --> 00:50:28,560
Speaker 1: it down? What if we stormed that steel? Like it

947
00:50:28,640 --> 00:50:32,280
Speaker 1: really is, like it's a very French revolutionary it is coated,

948
00:50:32,520 --> 00:50:37,200
Speaker 1: it is let music sounds delicious. I'll take two, right.

949
00:50:38,640 --> 00:50:42,200
Speaker 2: I just I'm not saying anything new here, but it's

950
00:50:42,320 --> 00:50:47,440
Speaker 2: just it's very it's still disappointing and frustrating to realize that,

951
00:50:47,560 --> 00:50:51,440
Speaker 2: like this is what it takes. Yeah, it shouldn't take this.

952
00:50:51,520 --> 00:50:54,240
Speaker 1: There is a documentary called The Price of the Vote.

953
00:50:54,640 --> 00:50:56,600
Speaker 2: Oh the Hungarian.

954
00:50:56,840 --> 00:50:59,800
Speaker 1: Yes, his name is Aaron Timar and we're going to

955
00:50:59,840 --> 00:51:01,840
Speaker 1: sit down with him tomorrow. We're going to do a

956
00:51:01,880 --> 00:51:05,960
Speaker 1: special brief recess short. Yes, and so we're going to

957
00:51:06,000 --> 00:51:09,200
Speaker 1: release it as a short online. He covers this election

958
00:51:09,320 --> 00:51:11,879
Speaker 1: in Hungary extensively, so I want to hear from him.

959
00:51:12,160 --> 00:51:15,200
Speaker 1: So two point two million people watched this documentary in Hungary.

960
00:51:15,200 --> 00:51:17,920
Speaker 1: It came out two weeks before the election. That's a

961
00:51:18,040 --> 00:51:21,520
Speaker 1: third of their voting population. And people think it had

962
00:51:21,560 --> 00:51:25,480
Speaker 1: like this huge impact on voter turnout in this election.

963
00:51:25,880 --> 00:51:30,360
Speaker 1: So this documentary I think really changed the course of

964
00:51:30,360 --> 00:51:32,600
Speaker 1: the selection. It's kind of interesting. So we're going to

965
00:51:32,640 --> 00:51:35,560
Speaker 1: sit down with the director tomorrow. We'll release it as

966
00:51:35,560 --> 00:51:38,879
Speaker 1: a short, a little bonus episode. I'm looking forward to that.

967
00:51:39,120 --> 00:51:41,960
Speaker 1: So what are you going to wear cat sweatshirt? I'll

968
00:51:42,320 --> 00:51:44,279
Speaker 1: I'll wear a dog sweatshirt. You wear cat sweatshirt? I

969
00:51:44,280 --> 00:51:44,600
Speaker 1: don't think.

970
00:51:45,480 --> 00:51:47,160
Speaker 2: Oh I do have a cat?

971
00:51:47,360 --> 00:51:49,760
Speaker 1: Yeah, okay? Or I have my octopus sweater?

972
00:51:50,080 --> 00:51:50,360
Speaker 2: What's that?

973
00:51:50,560 --> 00:51:52,279
Speaker 1: People on the internet love it. When I when I

974
00:51:52,320 --> 00:51:56,160
Speaker 1: was in psychosis during COVID, I got really into crochet

975
00:51:56,480 --> 00:51:58,719
Speaker 1: and I crocheted an octopus onto a sweater during a

976
00:51:58,719 --> 00:52:01,000
Speaker 1: mental breakdown. Okay, but it's really cute.

977
00:52:01,040 --> 00:52:01,719
Speaker 2: I've never seen it.

978
00:52:01,719 --> 00:52:03,319
Speaker 1: It's like the best thing to come out of one

979
00:52:03,320 --> 00:52:06,719
Speaker 1: of my mental breakdowns, and people on the internet go

980
00:52:06,800 --> 00:52:08,360
Speaker 1: ape shit for it. So maybe i'll wear that.

981
00:52:08,440 --> 00:52:09,279
Speaker 2: I've never seen it.

982
00:52:09,960 --> 00:52:12,880
Speaker 1: You've seen it. I've posted videos in it. Are you

983
00:52:12,920 --> 00:52:13,600
Speaker 1: not following me?

984
00:52:14,520 --> 00:52:19,880
Speaker 2: Speaking of not following? Okay, so our show, Brief Recess

985
00:52:20,160 --> 00:52:24,960
Speaker 2: has its own social media presence that's relatively new. I

986
00:52:25,080 --> 00:52:30,399
Speaker 2: follow us, my mom follows us, my friends follow us,

987
00:52:30,600 --> 00:52:33,439
Speaker 2: A lot of you follow us. You know who did

988
00:52:33,520 --> 00:52:40,080
Speaker 2: not follow us? Michael Charles. Okay, am my defense, There

989
00:52:40,200 --> 00:52:41,000
Speaker 2: is no defense.

990
00:52:41,160 --> 00:52:45,239
Speaker 1: I manage that account, so it feels like me, so

991
00:52:45,400 --> 00:52:49,279
Speaker 1: I like switch between the accounts. I'm like posting and

992
00:52:49,280 --> 00:52:50,759
Speaker 1: then I go back to my account. So I just

993
00:52:50,800 --> 00:52:53,759
Speaker 1: never thought to follow myself. I was like, this is

994
00:52:53,880 --> 00:52:58,960
Speaker 1: it's just me. I got to take this. It's my lawyer. Yeah, hello,

995
00:52:59,200 --> 00:52:59,920
Speaker 1: it's my agent.

996
00:53:02,040 --> 00:53:04,000
Speaker 2: Unbelievable. Are you following us now?

997
00:53:04,080 --> 00:53:05,879
Speaker 1: I'm following it now because you called it out? How

998
00:53:05,880 --> 00:53:07,000
Speaker 1: did you even figure that out?

999
00:53:07,160 --> 00:53:10,520
Speaker 2: Okay, I'll see how I figured it. I actually, to

1000
00:53:10,560 --> 00:53:13,319
Speaker 2: be fair, I did not figure it out. I was

1001
00:53:13,360 --> 00:53:17,680
Speaker 2: in the comments and a comment or said, Michael's not

1002
00:53:17,719 --> 00:53:18,920
Speaker 2: even following himself.

1003
00:53:19,719 --> 00:53:21,920
Speaker 1: Who's that that? I bet it was. I bet it

1004
00:53:21,960 --> 00:53:24,520
Speaker 1: was one of my friends. My friends are such bitches.

1005
00:53:24,640 --> 00:53:26,840
Speaker 2: I love that though I hate them so much. And

1006
00:53:26,880 --> 00:53:29,719
Speaker 2: then so I looked and then I went and confirm,

1007
00:53:30,160 --> 00:53:30,719
Speaker 2: and I was like.

1008
00:53:31,440 --> 00:53:34,600
Speaker 1: It does oh man, all right, well I'm following it now.

1009
00:53:35,080 --> 00:53:36,640
Speaker 1: Someone really clocked my teeth.

1010
00:53:36,719 --> 00:53:41,480
Speaker 2: Damn. Yeah, yeah, damn. It's really interesting people pay attention

1011
00:53:41,560 --> 00:53:45,040
Speaker 2: to like weird internet stuff, right, I love that. I know.

1012
00:53:45,320 --> 00:53:47,520
Speaker 1: All right, We'll be right back. Let's take a break.

1013
00:53:49,080 --> 00:53:51,040
Speaker 1: Let's get into tales from the d MS. Let's talk

1014
00:53:51,080 --> 00:53:55,759
Speaker 1: about all the wicked and wild, crazy, sometimes slutty things

1015
00:53:55,760 --> 00:53:58,880
Speaker 1: you send me on Yeah, you could send it to me.

1016
00:53:59,160 --> 00:54:01,120
Speaker 1: You could send it to the reef Recess account, which

1017
00:54:01,160 --> 00:54:04,040
Speaker 1: I now follow. You can send it to our email

1018
00:54:04,040 --> 00:54:07,840
Speaker 1: which is brief Recess at exactly rightmedia dot com. Or

1019
00:54:07,920 --> 00:54:11,279
Speaker 1: you can record it through my link tree. It's called

1020
00:54:11,320 --> 00:54:14,080
Speaker 1: speak pipe and you can record your voice and send

1021
00:54:14,120 --> 00:54:16,600
Speaker 1: us your But we do like to analyze your voices.

1022
00:54:16,840 --> 00:54:17,040
Speaker 2: We do.

1023
00:54:17,280 --> 00:54:18,440
Speaker 1: We do want a voice memo.

1024
00:54:18,640 --> 00:54:21,880
Speaker 2: A few things though. If you are sending us a

1025
00:54:22,080 --> 00:54:25,839
Speaker 2: voice note, remember to be sure whether or not you

1026
00:54:25,880 --> 00:54:27,800
Speaker 2: want us to like say your name, so try not

1027
00:54:27,880 --> 00:54:30,280
Speaker 2: to include super personal information, right.

1028
00:54:30,160 --> 00:54:35,520
Speaker 1: Yeah, totally, yes, only your social circuit, No, your homage,

1029
00:54:35,800 --> 00:54:41,200
Speaker 1: just your credit card police. Okay, So this question is no,

1030
00:54:41,560 --> 00:54:44,320
Speaker 1: wait what.

1031
00:54:43,560 --> 00:54:46,760
Speaker 2: What I always say people? While Michael is a lawyer,

1032
00:54:46,840 --> 00:54:49,080
Speaker 2: he's not your lawyer. You can't skip that part. You're

1033
00:54:49,080 --> 00:54:49,840
Speaker 2: gonna get in trouble.

1034
00:54:50,120 --> 00:54:56,160
Speaker 1: Oh yeah, don't skip that. I told you just quick

1035
00:54:56,160 --> 00:55:00,520
Speaker 1: gaslighting so I won't be okay this do you want

1036
00:55:00,520 --> 00:55:01,560
Speaker 1: to read this question for me?

1037
00:55:01,800 --> 00:55:05,520
Speaker 2: Good day, wishing you a positive weekend? Question? Does US

1038
00:55:05,640 --> 00:55:08,720
Speaker 2: customs have the right to take your phone when entering

1039
00:55:08,760 --> 00:55:11,920
Speaker 2: the country as a random security check? That's a good question.

1040
00:55:12,080 --> 00:55:12,680
Speaker 1: Yeah.

1041
00:55:12,760 --> 00:55:15,640
Speaker 2: I was forced to give them my phone at foot

1042
00:55:15,680 --> 00:55:19,000
Speaker 2: Lauderdale Airport. Yeah, and they held it for two hours.

1043
00:55:19,120 --> 00:55:23,560
Speaker 2: They made me give them my password. Yeah, I was

1044
00:55:23,600 --> 00:55:25,520
Speaker 2: held in the waiting area. They gave me my phone

1045
00:55:25,520 --> 00:55:27,239
Speaker 2: back and just sent me on my way. I'm just

1046
00:55:27,360 --> 00:55:30,360
Speaker 2: curious because I felt violated. This happened in January of

1047
00:55:30,360 --> 00:55:31,840
Speaker 2: this year. Can they do that?

1048
00:55:32,040 --> 00:55:32,839
Speaker 1: They can do that?

1049
00:55:33,560 --> 00:55:35,200
Speaker 2: And do you have to give them your password?

1050
00:55:35,280 --> 00:55:38,040
Speaker 1: You don't, Okay, So that's like the nuance okay, is

1051
00:55:38,080 --> 00:55:41,239
Speaker 1: that under the Fourth Amendment you have a reasonable expectation

1052
00:55:41,280 --> 00:55:45,560
Speaker 1: of privacy yeah, that is like the rule and Fourth

1053
00:55:45,560 --> 00:55:48,319
Speaker 1: Amendment garlies where you come at me, because I love

1054
00:55:48,360 --> 00:55:53,200
Speaker 1: the Fourth Amendment. Fourth Amendment. It's about your reasonable expectation

1055
00:55:53,239 --> 00:55:57,080
Speaker 1: of privacy, Like the reasonable average person would expect that

1056
00:55:57,120 --> 00:55:59,560
Speaker 1: what's on their phone is private. And this is like

1057
00:56:00,120 --> 00:56:03,640
Speaker 1: what courts think a reasonable person would believe. It's not

1058
00:56:03,800 --> 00:56:06,200
Speaker 1: you and me believing this right, this is what a

1059
00:56:06,280 --> 00:56:11,680
Speaker 1: judge decides. But if your phone is password protected, a

1060
00:56:11,800 --> 00:56:14,600
Speaker 1: judge and jury would then say, oh, yeah, that person

1061
00:56:14,640 --> 00:56:18,080
Speaker 1: had a reasonable expectation of privacy on their phone. Therefore

1062
00:56:18,280 --> 00:56:23,759
Speaker 1: they can't be forced to hand that over. But they

1063
00:56:23,760 --> 00:56:26,120
Speaker 1: can still do it. They can still say, like, you

1064
00:56:26,160 --> 00:56:28,080
Speaker 1: need to give me your pass code, and if you

1065
00:56:28,120 --> 00:56:32,480
Speaker 1: give it to them, then you're basically waving your reasonable

1066
00:56:32,480 --> 00:56:38,320
Speaker 1: expectation of privacy because you proffered your passcode when prompted. However,

1067
00:56:39,520 --> 00:56:42,960
Speaker 1: there's no law, rule, nothing that says you have to

1068
00:56:43,040 --> 00:56:45,560
Speaker 1: give it to them. You could say no, it's my phone,

1069
00:56:45,560 --> 00:56:47,719
Speaker 1: it's private, I'm not giving you my password.

1070
00:56:47,800 --> 00:56:52,560
Speaker 2: And what then can they do to you? Like could

1071
00:56:52,560 --> 00:56:56,840
Speaker 2: they if this person had said no, yeah, would they

1072
00:56:56,960 --> 00:56:59,760
Speaker 2: have been able to just keep this person?

1073
00:57:00,239 --> 00:57:02,680
Speaker 1: Well, what this person hasn't told me is if they're

1074
00:57:02,680 --> 00:57:03,240
Speaker 1: a citizen.

1075
00:57:03,400 --> 00:57:03,520
Speaker 2: Right.

1076
00:57:04,120 --> 00:57:07,520
Speaker 1: We have had reports of non citizen visitors to the

1077
00:57:07,600 --> 00:57:11,400
Speaker 1: US getting the boot because at the airport, at the

1078
00:57:11,440 --> 00:57:14,320
Speaker 1: airport sent back home. There was a big story a

1079
00:57:14,360 --> 00:57:16,800
Speaker 1: couple months ago over the summer, I would say, of

1080
00:57:16,880 --> 00:57:20,280
Speaker 1: a Norwegian tourist coming to America had a meme of

1081
00:57:20,360 --> 00:57:23,520
Speaker 1: JD Vance's bloated face. Have seen that meme. I love it.

1082
00:57:23,520 --> 00:57:29,520
Speaker 1: It's my screensaver, and so it was like puffy piller case.

1083
00:57:30,440 --> 00:57:33,000
Speaker 1: And they saw it and they sent him back to Norway.

1084
00:57:33,040 --> 00:57:34,920
Speaker 1: And then and then the whole Trump administration was like,

1085
00:57:34,920 --> 00:57:37,560
Speaker 1: we never did that. That didn't happen. It happened, and

1086
00:57:37,640 --> 00:57:40,360
Speaker 1: it's happened. There are other accounts of that happening. But

1087
00:57:40,480 --> 00:57:42,320
Speaker 1: if you are a US citizen and you're coming to

1088
00:57:42,400 --> 00:57:46,400
Speaker 1: the US, you are, like everyone in the US, regardless

1089
00:57:46,440 --> 00:57:49,280
Speaker 1: of whether they're a citizen, has Fourth Amendment rights. However,

1090
00:57:49,640 --> 00:57:52,160
Speaker 1: you don't have an absolute right to enter the US

1091
00:57:52,320 --> 00:57:56,360
Speaker 1: unless you are a citizen. So CBP, Customs and Border

1092
00:57:56,360 --> 00:58:00,280
Speaker 1: Protection can stop you right like review your document, look

1093
00:58:00,320 --> 00:58:02,720
Speaker 1: at your passport, determine if you should come in or not.

1094
00:58:03,200 --> 00:58:06,280
Speaker 1: Like they do have discretion there, which is why I'm

1095
00:58:06,400 --> 00:58:09,640
Speaker 1: like is this person a citizen? If they are, then

1096
00:58:09,720 --> 00:58:12,040
Speaker 1: you could have if you wanted to dig your heels

1097
00:58:12,080 --> 00:58:15,000
Speaker 1: and not give them your phone. Say it's protected, there's

1098
00:58:15,000 --> 00:58:17,600
Speaker 1: confidential information on there. It's none of your business, right

1099
00:58:17,920 --> 00:58:20,880
Speaker 1: And the worst that they could have done is helped

1100
00:58:20,920 --> 00:58:24,000
Speaker 1: them for a couple hours to look further into their

1101
00:58:24,000 --> 00:58:28,520
Speaker 1: background in their own systems, gone through their luggage, whatever,

1102
00:58:28,920 --> 00:58:32,800
Speaker 1: but not access to their phone. They can confiscate your

1103
00:58:32,800 --> 00:58:35,920
Speaker 1: phone US citizens, they can't. They have been confiscating your phones,

1104
00:58:36,480 --> 00:58:39,680
Speaker 1: the phones, and it's been worked. They're working through it

1105
00:58:39,720 --> 00:58:41,720
Speaker 1: in the courts right now whether they can do that,

1106
00:58:42,040 --> 00:58:44,560
Speaker 1: Which is why The Times did an article a couple

1107
00:58:44,680 --> 00:58:47,640
Speaker 1: months ago, right after the shooting of Renee Good, the

1108
00:58:47,720 --> 00:58:52,120
Speaker 1: murder of Verne, talking about how you should switch your phone,

1109
00:58:52,280 --> 00:58:55,800
Speaker 1: power it down before you go through customs and border

1110
00:58:55,840 --> 00:58:59,600
Speaker 1: protection if you're entering at a US airport, because it's

1111
00:58:59,680 --> 00:59:04,400
Speaker 1: hard or for the CIA to access your information if

1112
00:59:04,400 --> 00:59:05,560
Speaker 1: they confiscate your phone.

1113
00:59:05,720 --> 00:59:07,959
Speaker 2: Gotcha. But do they need to give you a reason

1114
00:59:07,960 --> 00:59:09,240
Speaker 2: why they're taking your phone from you?

1115
00:59:09,520 --> 00:59:12,560
Speaker 1: I mean you can demand one, but no, like if

1116
00:59:12,960 --> 00:59:15,680
Speaker 1: you come up bread in their system and they want

1117
00:59:15,720 --> 00:59:16,880
Speaker 1: to take it, they can.

1118
00:59:17,280 --> 00:59:18,240
Speaker 2: But like this person.

1119
00:59:18,800 --> 00:59:20,800
Speaker 1: They can do it all in the name of They got.

1120
00:59:20,680 --> 00:59:25,040
Speaker 2: Sent away like nothing, like nothing, what happened to this person?

1121
00:59:25,160 --> 00:59:28,280
Speaker 2: They were sent away like they gave him, They gave

1122
00:59:28,320 --> 00:59:31,480
Speaker 2: them the phone back and sent them away like nothing.

1123
00:59:31,680 --> 00:59:31,919
Speaker 1: Yeah.

1124
00:59:32,040 --> 00:59:34,240
Speaker 2: Meanwhile, you've been cooling your heel for two hours and

1125
00:59:34,400 --> 00:59:35,600
Speaker 2: for waterdal.

1126
00:59:35,520 --> 00:59:38,200
Speaker 1: Yeah, waiting for your to get your phone back. It's crazy.

1127
00:59:38,280 --> 00:59:41,960
Speaker 1: I'm not saying it's right. I'm saying it's happening. Yeah,

1128
00:59:42,000 --> 00:59:45,120
Speaker 1: and that no one's stopping them right now. Hm, Okay,

1129
00:59:45,240 --> 00:59:48,480
Speaker 1: let's read some reviews then, Okay. I hope there's I

1130
00:59:48,480 --> 00:59:50,640
Speaker 1: hope there's someone from Pennsylvania telling me that I'm a

1131
00:59:50,720 --> 00:59:53,320
Speaker 1: stupid bitch and that I should kill myself because there

1132
00:59:53,400 --> 00:59:56,320
Speaker 1: is not. Last week, I know what was her name

1133
00:59:56,440 --> 00:59:56,760
Speaker 1: she was.

1134
00:59:56,800 --> 00:59:57,520
Speaker 2: She came for us.

1135
00:59:57,600 --> 00:59:59,840
Speaker 1: She was like, hey, you ugly horror. I was like,

1136
01:00:00,120 --> 01:00:05,400
Speaker 1: Jesus crazy, Oh my god. Okay. From the Afroman episode

1137
01:00:05,520 --> 01:00:12,440
Speaker 1: from Maggali Malbranch Melissa's mom, very nice show. I enjoy

1138
01:00:12,520 --> 01:00:16,000
Speaker 1: watching you every week. Oh, I'm sure she's talking about me.

1139
01:00:16,200 --> 01:00:20,000
Speaker 2: She is talking about you. She's definitely not come so

1140
01:00:21,440 --> 01:00:22,800
Speaker 2: to me, And I'm like, that's not my mother.

1141
01:00:22,960 --> 01:00:27,240
Speaker 1: There's no way she made an account on comment and.

1142
01:00:27,280 --> 01:00:28,520
Speaker 2: I don't like her user name.

1143
01:00:29,360 --> 01:00:32,400
Speaker 4: It's a little bit too I'm going to make her

1144
01:00:32,440 --> 01:00:34,560
Speaker 4: change it because people are going to be messaging her

1145
01:00:34,680 --> 01:00:38,480
Speaker 4: like I love her daughter or not. My mom's going

1146
01:00:38,560 --> 01:00:41,440
Speaker 4: to be messaging her. Welcome Melissa to the family. I'm

1147
01:00:41,520 --> 01:00:43,760
Speaker 4: so excited about the recent nuptials.

1148
01:00:45,240 --> 01:00:48,120
Speaker 1: Oh man, oh my god. Okay. Last week's episode the

1149
01:00:48,120 --> 01:00:52,960
Speaker 1: mount Rushmore DC Chaos show Me You're Pretty, says I

1150
01:00:53,000 --> 01:00:55,080
Speaker 1: love this podcast. You both give me so much life.

1151
01:00:55,240 --> 01:01:00,520
Speaker 1: Keep up amazing work. Deepas thank you Ya one two

1152
01:01:00,520 --> 01:01:02,280
Speaker 1: three says briefly, Sis is one of the most important

1153
01:01:02,280 --> 01:01:05,840
Speaker 1: informative of entertaining podcasts I've ever come across. I understand

1154
01:01:05,960 --> 01:01:08,480
Speaker 1: eleven seconds and that this will be a happy one.

1155
01:01:08,480 --> 01:01:11,080
Speaker 1: Thank you for posting it all. That's very sus Thank you.

1156
01:01:11,920 --> 01:01:16,760
Speaker 2: Runway to Reality Check with Yanna from Alexa. I love

1157
01:01:16,840 --> 01:01:18,960
Speaker 2: the Haitian mother. Look. It looks like something I've seen

1158
01:01:19,000 --> 01:01:19,919
Speaker 2: in a gangster movie.

1159
01:01:20,080 --> 01:01:21,560
Speaker 1: Oh is it the one where you're going to she's

1160
01:01:21,560 --> 01:01:24,439
Speaker 1: going to beat you with a sandal? Wowse your mother

1161
01:01:24,480 --> 01:01:26,200
Speaker 1: loves this, loves this podcast.

1162
01:01:27,160 --> 01:01:29,520
Speaker 2: Slowly she turns but keeps you in her sight. That

1163
01:01:29,640 --> 01:01:30,720
Speaker 2: is definitely my mom.

1164
01:01:31,280 --> 01:01:32,680
Speaker 1: You don't have to be a relative to leave.

1165
01:01:33,040 --> 01:01:35,400
Speaker 2: You don't have to be a relative. But it would

1166
01:01:35,400 --> 01:01:40,280
Speaker 2: be nice if more of my relatives, if more of

1167
01:01:40,280 --> 01:01:43,600
Speaker 2: my relatives watched. Although I did see a cousin when

1168
01:01:43,680 --> 01:01:45,640
Speaker 2: I saw a bunch of my cousins this weekend, and

1169
01:01:47,480 --> 01:01:49,640
Speaker 2: my my cousin was just like I listened to it

1170
01:01:49,680 --> 01:01:51,200
Speaker 2: all the time. She was like, you guys are really good,

1171
01:01:51,280 --> 01:01:52,480
Speaker 2: which I really appreciate.

1172
01:01:52,600 --> 01:01:56,760
Speaker 1: Does Andre listen? Does your spouse her? Your other husband?

1173
01:01:57,040 --> 01:01:59,560
Speaker 2: My other husband doesn't listen at all.

1174
01:01:59,680 --> 01:02:02,160
Speaker 1: And that's when I talk so much about him. And

1175
01:02:03,000 --> 01:02:06,280
Speaker 1: he was like, I get that at home, you yapping

1176
01:02:06,800 --> 01:02:07,400
Speaker 1: non stop.

1177
01:02:07,520 --> 01:02:08,960
Speaker 2: That's actually fair, because I do.

1178
01:02:09,000 --> 01:02:11,000
Speaker 1: Just kind of burst into whatever Roomy's in and I

1179
01:02:11,040 --> 01:02:13,920
Speaker 1: just start annoying the shut out of him. Fair, He's like,

1180
01:02:14,400 --> 01:02:18,320
Speaker 1: that's what imagining what you're doing on the podcast. It's

1181
01:02:18,360 --> 01:02:19,160
Speaker 1: like I get plenty of that.

1182
01:02:19,360 --> 01:02:21,800
Speaker 2: I mean, I do, I do. I do a lot

1183
01:02:21,800 --> 01:02:23,640
Speaker 2: of weird, creepy things, sore all the time.

1184
01:02:23,760 --> 01:02:25,960
Speaker 1: Yeah, just name them straight to camera.

1185
01:02:26,080 --> 01:02:29,160
Speaker 2: Sure, So what I love. My favorite thing to do

1186
01:02:29,400 --> 01:02:31,640
Speaker 2: is to peer at him from around a doorway.

1187
01:02:31,920 --> 01:02:34,320
Speaker 1: Oh yeah, yeah, yeah, it's very feline. If you that's

1188
01:02:34,400 --> 01:02:35,920
Speaker 1: kind of like what, you're a cat person.

1189
01:02:35,960 --> 01:02:38,640
Speaker 2: I am a cat person, and I'll wait until he

1190
01:02:39,320 --> 01:02:41,160
Speaker 2: catches me. He's like what, and then I won't say anything.

1191
01:02:41,160 --> 01:02:41,880
Speaker 2: I'll just back away.

1192
01:02:42,080 --> 01:02:46,640
Speaker 1: I tore me Brad with the deep diva. Pick up

1193
01:02:46,680 --> 01:02:49,720
Speaker 1: your fucking shoes, all right? That was Tells from the Dams.

1194
01:02:49,760 --> 01:02:52,080
Speaker 1: Thank you everyone for sending us messages. You can always

1195
01:02:52,160 --> 01:02:55,040
Speaker 1: leave a review for the show anywhere you get podcasts.

1196
01:02:55,560 --> 01:03:02,080
Speaker 1: We love reading your fun little reviews. Thanks Mom, Thank

1197
01:03:02,120 --> 01:03:05,280
Speaker 1: you for listening. This has been brief recess. Go to

1198
01:03:05,360 --> 01:03:08,160
Speaker 1: Hell and take me with you.

1199
01:03:08,920 --> 01:03:09,760
Speaker 2: We're already there.

1200
01:03:09,920 --> 01:03:13,960
Speaker 1: This is brief re says, thank you for watching. I'll

1201
01:03:13,960 --> 01:03:17,560
Speaker 1: see you at the polls in Hungary. This is brief

1202
01:03:17,600 --> 01:03:19,480
Speaker 1: re sas thank you for watching. I'll see you in

1203
01:03:19,520 --> 01:03:24,880
Speaker 1: court not me. This has been an exactly right production

1204
01:03:25,000 --> 01:03:28,520
Speaker 1: recorded at iHeart Studios, hosted by me, Michael Foot and.

1205
01:03:28,520 --> 01:03:31,320
Speaker 2: Me Melissa malbranch. Our producer is CJ. Ferroni.

1206
01:03:31,480 --> 01:03:33,720
Speaker 1: This episode was edited by Nicholas Galucci.

1207
01:03:33,920 --> 01:03:37,000
Speaker 2: Our associate producer is Christina Chamberlain, and our guest booker

1208
01:03:37,080 --> 01:03:38,040
Speaker 2: is Patria Cottner.

1209
01:03:38,320 --> 01:03:41,000
Speaker 1: Our theme song was composed by Tom Briifogel with artwork

1210
01:03:41,000 --> 01:03:44,840
Speaker 1: from Charlotte Delarue mnsa Lilac with photography by Brad Obono.

1211
01:03:45,120 --> 01:03:48,960
Speaker 2: Brief Recess is executive produced by Karen Kilgareff, Georgia hart Stark,

1212
01:03:49,040 --> 01:03:50,040
Speaker 2: and Danielle Kramer.

1213
01:03:50,120 --> 01:03:52,440
Speaker 1: You can find me on Instagram at Department of Redundancy

1214
01:03:52,480 --> 01:03:55,160
Speaker 1: Department or on TikTok at Michael foot.

1215
01:03:55,000 --> 01:03:57,920
Speaker 2: And I'm on both Instagram and TikTok as Melissa Malbranch.

1216
01:03:58,160 --> 01:04:02,240
Speaker 1: Got legal questions, reach out at brief Recess at exactlyrightmedia

1217
01:04:02,360 --> 01:04:05,320
Speaker 1: dot com. Listen to Brief Recess on the iHeartRadio app,

1218
01:04:05,480 --> 01:04:08,560
Speaker 1: Apple Podcasts or wherever you get your podcasts, and of

1219
01:04:08,600 --> 01:04:11,600
Speaker 1: course we're a podcasts with video. Search for Brief Recess

1220
01:04:11,600 --> 01:04:13,400
Speaker 1: on YouTube