1
00:00:00,520 --> 00:00:05,080
Speaker 1: Oh hey, there, it's me Jack. You've caught me unwinding,

2
00:00:05,480 --> 00:00:10,680
Speaker 1: enjoying a large goblet of delicious eggnog, untangling my brain,

3
00:00:11,160 --> 00:00:17,320
Speaker 1: gaining five to fifteen pounds of eggnog while we unwind.

4
00:00:17,360 --> 00:00:20,080
Speaker 1: Here at Daily Zeitgeist, in addition to publishing our normal

5
00:00:20,160 --> 00:00:25,880
Speaker 1: year end episodes and Santo's University, etc. We've decided to

6
00:00:25,960 --> 00:00:29,040
Speaker 1: take the opportunity to count down the top ten episodes

7
00:00:29,080 --> 00:00:32,400
Speaker 1: of the year published over the next ten days. The

8
00:00:32,479 --> 00:00:35,040
Speaker 1: ten days that will be off Monday through Friday, two

9
00:00:35,080 --> 00:00:38,800
Speaker 1: weeks in a row. How Jack, how did you guys

10
00:00:38,880 --> 00:00:43,480
Speaker 1: determine the top ten episodes? They were all equally incredible. Well,

11
00:00:43,800 --> 00:00:47,959
Speaker 1: we used a little something called democracy. Ever heard of it?

12
00:00:48,479 --> 00:00:50,560
Speaker 1: Depending on when you listen to this episode, that might

13
00:00:50,560 --> 00:00:55,040
Speaker 1: not be such a rhetorical question. But anyways, we let

14
00:00:55,080 --> 00:00:57,520
Speaker 1: you vote on the most listened to episodes of the

15
00:00:57,600 --> 00:01:00,960
Speaker 1: year to see what you liked best. And you're about

16
00:01:00,960 --> 00:01:04,360
Speaker 1: to hear your answers. Just ten bangers right in a row.

17
00:01:04,720 --> 00:01:07,840
Speaker 1: We've got a trending episode in the mix. We got

18
00:01:08,319 --> 00:01:11,000
Speaker 1: a lot of good ones and at number one, well,

19
00:01:11,720 --> 00:01:15,679
Speaker 1: let's just say you'll find out, especially if this is

20
00:01:15,760 --> 00:01:18,200
Speaker 1: the number one episode we're putting this same bumper at

21
00:01:18,200 --> 00:01:21,319
Speaker 1: the start of all ten, so we hope you enjoy it.

22
00:01:21,640 --> 00:01:25,040
Speaker 1: We hope you enjoyed listening to this year of TDZ

23
00:01:25,280 --> 00:01:28,240
Speaker 1: as much as we enjoyed making it. And we will

24
00:01:28,280 --> 00:01:31,160
Speaker 1: see you all in twenty twenty five. We hope you

25
00:01:31,240 --> 00:01:41,080
Speaker 1: have a RESTful holiday. How you doing. Man, congratulations, thank oh,

26
00:01:41,120 --> 00:01:41,480
Speaker 1: thank you.

27
00:01:41,600 --> 00:01:44,560
Speaker 2: Yeah, you said it would never happen for me. I

28
00:01:44,640 --> 00:01:46,280
Speaker 2: said you said never.

29
00:01:46,600 --> 00:01:48,840
Speaker 1: And I still don't really believe it, you know, I'm

30
00:01:48,880 --> 00:01:52,920
Speaker 1: still I sent Miles to make sure it wasn't bullshit, man,

31
00:01:52,960 --> 00:01:54,440
Speaker 1: because I honestly I was.

32
00:01:54,520 --> 00:01:56,320
Speaker 2: Mom. I was like, I don't know, I don't know what.

33
00:01:56,360 --> 00:01:57,120
Speaker 2: I don't know if it happened.

34
00:01:58,080 --> 00:02:00,280
Speaker 1: That's awesome though, Man, congrats, thank you.

35
00:02:00,520 --> 00:02:01,800
Speaker 2: It's it's lots of fun.

36
00:02:01,880 --> 00:02:04,960
Speaker 1: Yeah, marriage, marriage stuff, eh.

37
00:02:04,480 --> 00:02:05,960
Speaker 2: I know this stuff. That's great.

38
00:02:06,120 --> 00:02:12,200
Speaker 3: I like genuinely have been bonking my ring on everything

39
00:02:12,280 --> 00:02:14,880
Speaker 3: I could balk it on and it's such a.

40
00:02:14,480 --> 00:02:17,160
Speaker 2: Blasting like intentionally, like you're just coming up to like

41
00:02:17,160 --> 00:02:19,440
Speaker 2: what about this? Just like running in the walls, I

42
00:02:19,520 --> 00:02:21,960
Speaker 2: want to what everything sounds? That's solid?

43
00:02:22,400 --> 00:02:35,359
Speaker 4: Yeah, Hello the Internet, and welcome to season three, sixty two, Episode.

44
00:02:34,880 --> 00:02:37,120
Speaker 2: Five of Derndy's Guys.

45
00:02:37,360 --> 00:02:42,480
Speaker 1: Production of iHeart Radio. We are America's only undecided podcast,

46
00:02:42,880 --> 00:02:46,800
Speaker 1: still trying to figure it out. Uh, this election is tricky.

47
00:02:47,120 --> 00:02:50,480
Speaker 1: It's tricky, man says garbage Man. You did garbage man,

48
00:02:50,520 --> 00:02:53,240
Speaker 1: And that's I find that in Dear. This is a

49
00:02:53,280 --> 00:02:56,880
Speaker 1: podcast where we take a deep dive into America's shared consciousness.

50
00:02:57,080 --> 00:03:02,240
Speaker 1: And it is Friday, November first four. Yeah, today, we've

51
00:03:02,280 --> 00:03:07,000
Speaker 1: all been waiting for waiting, all Saints, the all Hallows

52
00:03:07,040 --> 00:03:09,680
Speaker 1: eve behind us. It's all Hallows.

53
00:03:09,800 --> 00:03:13,639
Speaker 2: It's Hallow's Day. And it also is maybe National Fountain

54
00:03:13,720 --> 00:03:18,360
Speaker 2: Pen Day, Autistic Speaking Day, National Biologic Coordinator's Day, National

55
00:03:18,400 --> 00:03:22,680
Speaker 2: Cinnamon Day, National Toothbrush Day, National Jersey Friday as in

56
00:03:23,000 --> 00:03:25,000
Speaker 2: Sporting Jersey, but also shout out the garden State of

57
00:03:25,040 --> 00:03:28,919
Speaker 2: New Jersey, National Al Zone Day, National Deep Fried Clams Day,

58
00:03:29,000 --> 00:03:32,639
Speaker 2: National Cook for Your Pets Day, National Family Literacy Day,

59
00:03:33,000 --> 00:03:36,280
Speaker 2: National Thursday, and National Vinegar Day.

60
00:03:36,520 --> 00:03:41,360
Speaker 1: Shout out oil also, but hey, do our guest today

61
00:03:41,760 --> 00:03:48,520
Speaker 1: author Jersey. Yep, he's always wearing a basketball jersey shirt

62
00:03:48,600 --> 00:03:49,320
Speaker 1: under New Jersey.

63
00:03:49,360 --> 00:03:50,320
Speaker 2: That's Jersey.

64
00:03:50,080 --> 00:03:50,800
Speaker 1: Yeah.

65
00:03:50,880 --> 00:03:51,320
Speaker 2: Yeah.

66
00:03:51,360 --> 00:03:56,600
Speaker 1: Anyways, my name's Jack O'Brien aka watching Old Bruce with

67
00:03:57,200 --> 00:04:02,000
Speaker 1: list Sam and Jack by his side. Ah, they both

68
00:04:02,080 --> 00:04:07,600
Speaker 1: die Hard with Eve Unce Jeremy Irons. That is courtesy

69
00:04:07,720 --> 00:04:11,920
Speaker 1: of Halcion Salad on the Discord in reference to one

70
00:04:12,000 --> 00:04:14,840
Speaker 1: of the two movies that we talked about in this podcast.

71
00:04:14,880 --> 00:04:18,160
Speaker 1: For some reason, Yeah, I guess the reason is those

72
00:04:18,200 --> 00:04:21,279
Speaker 1: are the only two movies we've seen Rocky four, Diehard

73
00:04:21,360 --> 00:04:23,320
Speaker 1: three classics.

74
00:04:23,520 --> 00:04:23,799
Speaker 2: Yep.

75
00:04:24,200 --> 00:04:28,479
Speaker 1: Anyway, shout out Halcion Salad. I'm thrilled to be joined

76
00:04:28,520 --> 00:04:30,359
Speaker 1: as always by my co hosts.

77
00:04:30,640 --> 00:04:35,640
Speaker 2: It's mister Miles Grass, Miles Greg. I love Miles Gray,

78
00:04:35,960 --> 00:04:36,480
Speaker 2: do do do?

79
00:04:37,600 --> 00:04:39,080
Speaker 1: We love them? All right?

80
00:04:39,160 --> 00:04:42,160
Speaker 2: Shout out to the Los Angeles Dodgers who were victorious

81
00:04:42,200 --> 00:04:45,159
Speaker 2: over the New York Yankees. And I must say, as

82
00:04:45,200 --> 00:04:48,440
Speaker 2: a Native Angelico, I love being just This is the

83
00:04:48,440 --> 00:04:53,800
Speaker 2: best time that we've anytime La wins something, it's fantastic. Now. Obviously,

84
00:04:53,880 --> 00:04:56,120
Speaker 2: the police came out in full force pretty much immediately

85
00:04:56,120 --> 00:04:58,200
Speaker 2: in anticipation of the revelry and things went well.

86
00:04:58,240 --> 00:05:01,279
Speaker 1: They have to celebrate too by beating people up and

87
00:05:01,360 --> 00:05:03,080
Speaker 1: arresting people that It's like.

88
00:05:03,040 --> 00:05:05,320
Speaker 2: Hey, you like to shoot boom booms, we do too,

89
00:05:05,400 --> 00:05:09,039
Speaker 2: and they're not lethal ish. But anyway, what a game,

90
00:05:09,400 --> 00:05:14,479
Speaker 2: coming back from five zero down that fifth that was

91
00:05:14,520 --> 00:05:16,920
Speaker 2: at the fifth inning, that was just absolutely just turned

92
00:05:16,920 --> 00:05:20,000
Speaker 2: the game upside down. Was fantastic to watch. I'm so

93
00:05:20,320 --> 00:05:21,680
Speaker 2: happy he.

94
00:05:22,279 --> 00:05:24,800
Speaker 1: Brought it alound for a landing. At first, you sounded

95
00:05:25,000 --> 00:05:28,000
Speaker 1: like somebody who was like, when La wins the game,

96
00:05:28,120 --> 00:05:33,280
Speaker 1: it is the most fantastic. Yes, it is. It is fantastic.

97
00:05:33,400 --> 00:05:36,800
Speaker 2: When winning baseball game much celebrates.

98
00:05:36,680 --> 00:05:43,000
Speaker 1: A culinary hand kiss. Anyways, Miles, we are thrilled to

99
00:05:43,080 --> 00:05:45,719
Speaker 1: be joined in our third seat one of the funniest

100
00:05:45,760 --> 00:05:48,760
Speaker 1: and smartest writers and people I've had the pleasure of

101
00:05:48,800 --> 00:05:52,560
Speaker 1: working with. He's a best selling author and Emmy winning writer.

102
00:05:52,839 --> 00:05:58,000
Speaker 1: The last week Tonight with Six, he co hosts the

103
00:05:58,040 --> 00:06:01,440
Speaker 1: podcast Quick Question was sworn in Daniel, please welcome. It's

104
00:06:01,560 --> 00:06:02,520
Speaker 1: Daniel O'Brien.

105
00:06:04,279 --> 00:06:08,160
Speaker 2: Hello. What an introduction I was was.

106
00:06:08,360 --> 00:06:10,680
Speaker 3: I was really prepared to come in here with with

107
00:06:11,560 --> 00:06:16,560
Speaker 3: a planned bit of of being consistently over the length

108
00:06:16,720 --> 00:06:19,839
Speaker 3: of your akas a problem I've had with this podcast

109
00:06:20,279 --> 00:06:23,520
Speaker 3: since the beginning. But then you said so many sweet

110
00:06:23,520 --> 00:06:26,640
Speaker 3: things about me that I've I've completely abandoned that planned bit.

111
00:06:27,160 --> 00:06:28,040
Speaker 1: Oh now I'm.

112
00:06:27,960 --> 00:06:29,600
Speaker 2: I'm I'm armed with no bits.

113
00:06:29,880 --> 00:06:34,160
Speaker 1: Oh hey, well, welcome, great to have you bitless and

114
00:06:34,200 --> 00:06:35,960
Speaker 1: that's just we we can get in there. This is

115
00:06:35,960 --> 00:06:39,480
Speaker 1: gonna be like the Mark Maren podcast where you know,

116
00:06:39,680 --> 00:06:45,039
Speaker 1: drop that that stance, Dan, the comedic. You know, let's

117
00:06:45,040 --> 00:06:48,240
Speaker 1: get in there. Let's get into the the juicy insides

118
00:06:48,960 --> 00:06:51,960
Speaker 1: what makes you tick man. And also my aka was

119
00:06:52,000 --> 00:06:54,680
Speaker 1: like really quick today and perfectly concise, So.

120
00:06:55,040 --> 00:06:57,680
Speaker 2: Yeah, you could have done first banger, but.

121
00:06:59,440 --> 00:07:04,280
Speaker 1: Yeah, I cut so much. It was actually supposed to

122
00:07:04,320 --> 00:07:07,239
Speaker 1: be an Oasis medley about all the die Hard films.

123
00:07:07,440 --> 00:07:08,440
Speaker 2: Yeah, oh boy.

124
00:07:08,720 --> 00:07:11,520
Speaker 1: Yeah, well we hadn't had a wonder wall about die

125
00:07:11,560 --> 00:07:16,480
Speaker 1: Hard four die Hard, Yeah, lift free Diehard of course.

126
00:07:17,000 --> 00:07:19,480
Speaker 1: How are you doing? What's new with you? Daniel?

127
00:07:19,960 --> 00:07:22,400
Speaker 3: I'm doing very well. I mean, I don't know why

128
00:07:22,400 --> 00:07:24,680
Speaker 3: I'm saying I'm doing very well. It's I work at

129
00:07:24,680 --> 00:07:29,280
Speaker 3: a political comedy show, as you mentioned, and we're just

130
00:07:29,360 --> 00:07:32,840
Speaker 3: a few days away from an election. So fun, even

131
00:07:32,840 --> 00:07:35,520
Speaker 3: though that's not a surprise like we had we had

132
00:07:35,760 --> 00:07:38,440
Speaker 3: this whole year. I mean, an argument could be made

133
00:07:38,440 --> 00:07:41,720
Speaker 3: that we've had several years to plan for this election.

134
00:07:41,840 --> 00:07:47,160
Speaker 3: We are still running around headless chickens over here. We're

135
00:07:47,200 --> 00:07:50,760
Speaker 3: still trying to not that there's anything we can do

136
00:07:50,920 --> 00:07:53,080
Speaker 3: to impact how anyone's going to vote or how this

137
00:07:53,160 --> 00:07:56,040
Speaker 3: election is going to go, or not that there's any

138
00:07:56,080 --> 00:07:58,720
Speaker 3: way we can like add further context to it. We

139
00:07:58,840 --> 00:08:03,480
Speaker 3: just all share the same level of anxiety that everyone

140
00:08:03,480 --> 00:08:06,720
Speaker 3: else has. Where we record on Saturday for an episode

141
00:08:06,720 --> 00:08:08,640
Speaker 3: that's going to air on Sunday, and then we are

142
00:08:08,680 --> 00:08:12,040
Speaker 3: prepping a show that is going to record the week

143
00:08:12,720 --> 00:08:15,520
Speaker 3: of the election, so a few days after it, and

144
00:08:15,640 --> 00:08:19,040
Speaker 3: trying to prepare for what we can talk about when

145
00:08:19,080 --> 00:08:22,680
Speaker 3: we truly have no information right now.

146
00:08:22,760 --> 00:08:29,280
Speaker 1: Real sliding Doors moment. Yeah, yeah, yeah, that's a historical text,

147
00:08:29,320 --> 00:08:32,400
Speaker 1: the one of the Paltrow film Sliding Doors. But Daniel,

148
00:08:32,760 --> 00:08:36,080
Speaker 1: we are going to be recording an episode on election day.

149
00:08:36,640 --> 00:08:41,920
Speaker 1: We'll come out the day after. We had an hour

150
00:08:42,000 --> 00:08:47,440
Speaker 1: long meeting yesterday being like what the fuck, Like, how

151
00:08:47,480 --> 00:08:48,240
Speaker 1: do you do that?

152
00:08:48,320 --> 00:08:50,680
Speaker 2: I think we just record two kinds of episodes and

153
00:08:50,800 --> 00:08:53,000
Speaker 2: was just you know, choose your own adventure when it

154
00:08:53,040 --> 00:08:54,520
Speaker 2: times when it's time to publish.

155
00:08:54,720 --> 00:08:57,360
Speaker 1: No, we're just going to do some bullshit. I think

156
00:08:57,640 --> 00:09:01,320
Speaker 1: just an election. You guys should try that, just like,

157
00:09:01,400 --> 00:09:04,120
Speaker 1: do do something about funny video clips? Can you bring

158
00:09:04,200 --> 00:09:05,040
Speaker 1: cheap time back.

159
00:09:04,920 --> 00:09:09,000
Speaker 2: I would maybe I would love that so much, just

160
00:09:09,080 --> 00:09:10,680
Speaker 2: like something, Look, we don't know what's going on. Well,

161
00:09:10,760 --> 00:09:13,160
Speaker 2: let's enjoy this time where we don't know.

162
00:09:13,720 --> 00:09:15,400
Speaker 3: We have one TV in the office that we all

163
00:09:15,480 --> 00:09:18,320
Speaker 3: huddle around. That TV broke, so we don't know what

164
00:09:18,360 --> 00:09:19,480
Speaker 3: happened in the news this week.

165
00:09:19,559 --> 00:09:20,719
Speaker 2: So I'm just gonna sort of.

166
00:09:21,520 --> 00:09:24,080
Speaker 3: Has anyone seen Saturday Night? We want to talk about that.

167
00:09:24,080 --> 00:09:25,439
Speaker 3: That's the thing we're going to talk about.

168
00:09:25,760 --> 00:09:28,160
Speaker 1: There you go, all right, Well we are going to

169
00:09:28,200 --> 00:09:29,920
Speaker 1: get to know you a little bit better in a moment. First,

170
00:09:29,920 --> 00:09:31,520
Speaker 1: we're going to tell the listeners a couple of the

171
00:09:31,559 --> 00:09:34,400
Speaker 1: things we're talking about. We are going to talk about

172
00:09:34,440 --> 00:09:36,880
Speaker 1: the election. And this has just been sprung on me,

173
00:09:37,000 --> 00:09:41,920
Speaker 1: but yeah, apparently there's election news. There's some questions around turnout,

174
00:09:42,440 --> 00:09:45,880
Speaker 1: whether whether the boy is gonna turn out for Donald Trump.

175
00:09:46,120 --> 00:09:49,560
Speaker 1: The boys not turning out so far in the early vote,

176
00:09:49,960 --> 00:09:53,360
Speaker 1: and people are scared. Some people are asking whether it

177
00:09:53,360 --> 00:09:59,280
Speaker 1: has anything to do with Trump's ground game, which is bad.

178
00:10:00,559 --> 00:10:03,360
Speaker 1: Like I'm hoping it's as bad as it seems like

179
00:10:03,400 --> 00:10:05,240
Speaker 1: it would be. So we're going to talk about that.

180
00:10:05,280 --> 00:10:07,880
Speaker 1: We're going to talk about again, We'll do a little

181
00:10:08,240 --> 00:10:12,360
Speaker 1: look at the stakes because Trump has claimed that he

182
00:10:12,440 --> 00:10:17,079
Speaker 1: wants to let RFK Junior go wild on medicines, which

183
00:10:17,200 --> 00:10:22,199
Speaker 1: he's elected. That's a direct literal Okay, we'll talk about that.

184
00:10:22,320 --> 00:10:25,120
Speaker 1: We might talk about what Trump will do if he loses.

185
00:10:25,920 --> 00:10:29,360
Speaker 1: We will definitely talk about It's November first, it's the

186
00:10:29,400 --> 00:10:34,000
Speaker 1: day after Halloween. This is the season of the dentist

187
00:10:34,840 --> 00:10:40,760
Speaker 1: Halloween candy buyback program, and that surprisingly is going to

188
00:10:40,760 --> 00:10:45,120
Speaker 1: be the darkest story of the day because holy shit,

189
00:10:45,840 --> 00:10:50,120
Speaker 1: our writer j M McNab dug into this and it's

190
00:10:50,640 --> 00:10:55,000
Speaker 1: fucked It's like, so we shouldn't be surprised at this

191
00:10:55,080 --> 00:10:59,400
Speaker 1: point that, like you dig it, dig into any American

192
00:10:59,480 --> 00:11:03,200
Speaker 1: institute and there's a coin flip of a chance that

193
00:11:03,240 --> 00:11:05,760
Speaker 1: it's going to be super fucked up. This one is.

194
00:11:06,280 --> 00:11:09,400
Speaker 1: So we'll talk about that plenty more. But first, Daniel O'Brien,

195
00:11:09,440 --> 00:11:11,640
Speaker 1: we do like to ask our guests, what is something

196
00:11:11,760 --> 00:11:14,600
Speaker 1: from your search history.

197
00:11:14,760 --> 00:11:19,760
Speaker 3: Jack O'Brien Networth, and what do we what are we

198
00:11:19,800 --> 00:11:22,679
Speaker 3: coming back with? See here's here's what's an unfortunate bummer

199
00:11:22,679 --> 00:11:24,640
Speaker 3: about this is that I thought it would be lots

200
00:11:24,640 --> 00:11:27,760
Speaker 3: of fun to be to have that be my recent

201
00:11:27,800 --> 00:11:31,160
Speaker 3: Google search because that used to be a really fun

202
00:11:31,240 --> 00:11:34,160
Speaker 3: thing to do. Like celebrity networth is exactly what it

203
00:11:34,240 --> 00:11:39,320
Speaker 3: sounds like. It collects net worth of celebrities using who

204
00:11:39,360 --> 00:11:43,000
Speaker 3: knows what methods. In the past, they no one's been

205
00:11:43,040 --> 00:11:46,120
Speaker 3: able to really divine exactly how they come across their numbers.

206
00:11:46,320 --> 00:11:50,160
Speaker 3: But it was like I as a public personality from

207
00:11:50,400 --> 00:11:52,720
Speaker 3: Cracked and writing books, and now last week tonight I

208
00:11:52,960 --> 00:11:56,240
Speaker 3: was searchable on that site and there was some either

209
00:11:56,400 --> 00:11:59,640
Speaker 3: AI or freelance writer who had just sort of decided

210
00:11:59,679 --> 00:12:01,640
Speaker 3: what my net worth was. And it was a fun

211
00:12:01,720 --> 00:12:05,680
Speaker 3: game to play to see what some random writer somewhere

212
00:12:05,760 --> 00:12:07,720
Speaker 3: comes up with, because it was always like Daniel ob

213
00:12:07,720 --> 00:12:09,199
Speaker 3: Brian has been writing comedy.

214
00:12:08,920 --> 00:12:10,120
Speaker 2: Since two thousand and seven.

215
00:12:10,559 --> 00:12:13,439
Speaker 3: It is estimated that his net worth is ninety three

216
00:12:13,480 --> 00:12:17,040
Speaker 3: million dollars, and it was always way off based on nothing,

217
00:12:17,280 --> 00:12:19,079
Speaker 3: and I thought this would be a fun way to

218
00:12:19,160 --> 00:12:23,000
Speaker 3: kick off the episode to see what AI or some

219
00:12:23,240 --> 00:12:27,359
Speaker 3: child writer thinks Jack O'Brien's net worth is. But celebrity

220
00:12:27,400 --> 00:12:30,920
Speaker 3: net worth has changed drastically over the years. It's not

221
00:12:31,160 --> 00:12:32,840
Speaker 3: the free for all that it used to be. He

222
00:12:32,920 --> 00:12:36,040
Speaker 3: used to be able to find almost anyone of dubious

223
00:12:36,080 --> 00:12:39,560
Speaker 3: notoriety there and now they've really cleaned it up. And

224
00:12:39,600 --> 00:12:43,520
Speaker 3: I did some digging and it is this is like

225
00:12:44,280 --> 00:12:47,520
Speaker 3: you're seeing an episode of Last Week Tonight, get workshopped

226
00:12:47,559 --> 00:12:49,880
Speaker 3: in real time in a nutshell, start with a fun

227
00:12:49,880 --> 00:12:52,719
Speaker 3: thing and then uncover a sad dark thing. And the

228
00:12:52,840 --> 00:12:57,040
Speaker 3: sad dark thing is that like Google as Google has

229
00:12:57,240 --> 00:13:00,360
Speaker 3: decided to crush every website on the Internet that is

230
00:13:00,400 --> 00:13:03,520
Speaker 3: not Google. This is like a big tech anti trust thing.

231
00:13:03,920 --> 00:13:07,440
Speaker 3: People used to search Celary networths and get directed to

232
00:13:07,559 --> 00:13:11,120
Speaker 3: CelebrityNetWorth dot com and spend time on that site. Google

233
00:13:11,200 --> 00:13:15,520
Speaker 3: had started taking the information from that website and putting

234
00:13:15,559 --> 00:13:18,040
Speaker 3: it right on the Google search results. Yeah, got to

235
00:13:18,800 --> 00:13:21,840
Speaker 3: wouldn't go to Celebrity net Worth anymore. At one point

236
00:13:21,920 --> 00:13:26,520
Speaker 3: in twenty fourteen, Google asked the founder of Celebrity net Worth, Hey,

237
00:13:26,520 --> 00:13:29,040
Speaker 3: can I do this? Can we start like scrubbing your

238
00:13:29,120 --> 00:13:32,000
Speaker 3: website and putting it in search results so people get

239
00:13:32,000 --> 00:13:34,880
Speaker 3: the information they want and never have to leave Google.

240
00:13:35,080 --> 00:13:37,440
Speaker 3: Isn't that great news for the user? And the owner

241
00:13:37,480 --> 00:13:40,160
Speaker 3: of Celebrity net Worth was like, yeah, that's great news

242
00:13:40,200 --> 00:13:43,320
Speaker 3: for the user, but it's like fuck news for me.

243
00:13:43,600 --> 00:13:47,240
Speaker 3: I need people so bad to go to my website

244
00:13:47,800 --> 00:13:51,200
Speaker 3: so I can get money from ads from you, Google,

245
00:13:51,480 --> 00:13:54,560
Speaker 3: I need to sell my ads already you're already taking

246
00:13:54,720 --> 00:13:55,839
Speaker 3: such a massive cut.

247
00:13:55,880 --> 00:13:58,360
Speaker 1: They're like, yeah, right, if it was all our money,

248
00:13:58,679 --> 00:13:58,959
Speaker 1: you know.

249
00:13:59,080 --> 00:14:01,040
Speaker 2: What if I yeah, exactly.

250
00:14:01,040 --> 00:14:04,360
Speaker 1: We're having this meeting here in Google and we're like,

251
00:14:04,480 --> 00:14:05,560
Speaker 1: what if what if it was a.

252
00:14:06,440 --> 00:14:07,560
Speaker 2: Who can we get rid of?

253
00:14:08,040 --> 00:14:08,440
Speaker 1: And wait?

254
00:14:08,480 --> 00:14:11,040
Speaker 3: So the guy said no, you can't scrub my website

255
00:14:11,040 --> 00:14:14,679
Speaker 3: and then Google did it anyway, and between like twenty

256
00:14:14,720 --> 00:14:17,360
Speaker 3: fourteen and now it looks like traffic to celebrity or

257
00:14:17,480 --> 00:14:22,160
Speaker 3: networth has gone down eighty percent, and I think, as

258
00:14:21,680 --> 00:14:26,640
Speaker 3: a longtime fan of CelebrityNetWorth dot com, you can really

259
00:14:26,680 --> 00:14:29,680
Speaker 3: see that the quality has has suffered because of this

260
00:14:29,800 --> 00:14:30,960
Speaker 3: huge loss thanks to God.

261
00:14:31,040 --> 00:14:34,520
Speaker 2: Yeah, I mean, just so, did you get any kind

262
00:14:34,560 --> 00:14:36,280
Speaker 2: of answer for the number question?

263
00:14:36,560 --> 00:14:36,600
Speaker 5: No?

264
00:14:37,280 --> 00:14:40,080
Speaker 2: I did ask Chad GPT just now, Oh, well to

265
00:14:40,120 --> 00:14:42,800
Speaker 2: see how what a I did? Jack o'brancost of the

266
00:14:42,880 --> 00:14:44,520
Speaker 2: Daily Use and form of creative director at Houst of

267
00:14:44,560 --> 00:14:49,480
Speaker 2: Force has an estimated networth of approximately two million dollars.

268
00:14:49,520 --> 00:14:53,440
Speaker 2: Extensive work in digital media. Daniel O'Brien, known for his

269
00:14:53,480 --> 00:14:55,360
Speaker 2: work as a writer and comedian with Cracked and as

270
00:14:55,360 --> 00:14:57,560
Speaker 2: a writer for Last Week Tonight with John Oliver, has

271
00:14:57,600 --> 00:15:00,120
Speaker 2: an estimated net worth of around three hundred and fifteen

272
00:15:00,160 --> 00:15:01,160
Speaker 2: thousand dollars.

273
00:15:01,400 --> 00:15:06,320
Speaker 1: Wow, it's so siss on, Daniel, and I got seventy

274
00:15:06,400 --> 00:15:11,320
Speaker 1: five million for myself. Severn that I'm a famous Okay,

275
00:15:11,640 --> 00:15:14,760
Speaker 1: it's it's the theater director. There's the other one. Yeah, yeah, yeah,

276
00:15:14,840 --> 00:15:17,120
Speaker 1: the other one. But I don't know. I like hopefully

277
00:15:17,120 --> 00:15:19,720
Speaker 1: people don't do research too good or it confuses the

278
00:15:19,760 --> 00:15:22,760
Speaker 1: AI and they think all more seventy five million dollars

279
00:15:22,800 --> 00:15:23,800
Speaker 1: that would be pretty cool.

280
00:15:24,200 --> 00:15:28,160
Speaker 2: Yeah. Wow, three hundred and fifteen k's is so oddly specific. Yeah,

281
00:15:28,200 --> 00:15:32,320
Speaker 2: you know, so I got from walmine, I've got that'stimated

282
00:15:32,320 --> 00:15:37,040
Speaker 2: a net worth of Oh that's Daniel F O'Brien. And

283
00:15:37,080 --> 00:15:40,480
Speaker 2: then it says mister Brian owns. Yeah, this is the

284
00:15:41,200 --> 00:15:43,880
Speaker 2: it says on the Jack O'Brien net worth page. It

285
00:15:43,920 --> 00:15:46,320
Speaker 2: says Jack O'Brien is a member of director.

286
00:15:46,840 --> 00:15:50,000
Speaker 1: So I don't know how good it feels like maybe

287
00:15:50,320 --> 00:15:51,480
Speaker 1: the internet is broken.

288
00:15:51,880 --> 00:15:56,320
Speaker 2: No no, no, no, no no, no no accurate anyway, is it? Yeah?

289
00:15:56,360 --> 00:15:59,400
Speaker 2: I had searched mine. It said who that's actually what

290
00:15:59,560 --> 00:16:01,160
Speaker 2: Chad G said, and I'm kind.

291
00:16:01,040 --> 00:16:05,240
Speaker 1: Of fucking I think it's bullshit, Like, what is it

292
00:16:06,960 --> 00:16:09,240
Speaker 1: Jack O'Brien is not doing too well? You should reach

293
00:16:09,280 --> 00:16:14,720
Speaker 1: out to him and see how he's doing, or what

294
00:16:14,840 --> 00:16:18,600
Speaker 1: is something you think is underrated? Dang, this is gonna

295
00:16:18,640 --> 00:16:21,920
Speaker 1: sound very basic, but seasons, And I'm sure let's come

296
00:16:22,000 --> 00:16:23,640
Speaker 1: up on the podcast before it's coming up.

297
00:16:23,680 --> 00:16:23,920
Speaker 6: For me.

298
00:16:24,040 --> 00:16:27,560
Speaker 3: I live in New Jersey on the Jersey Shore. It

299
00:16:27,640 --> 00:16:31,600
Speaker 3: is as we record Halloween, it's very spooky. October thirty first,

300
00:16:31,920 --> 00:16:35,240
Speaker 3: it is eighty fucking degrees outside right now.

301
00:16:35,600 --> 00:16:35,880
Speaker 2: Wow.

302
00:16:35,920 --> 00:16:39,760
Speaker 3: And there's a lot of like global warming hand ringing

303
00:16:39,800 --> 00:16:41,720
Speaker 3: to be done about that because this is just like

304
00:16:41,720 --> 00:16:45,000
Speaker 3: like fundamentally not the way that temperatures are supposed to

305
00:16:45,080 --> 00:16:48,120
Speaker 3: go this time of year. And sure, I agree with

306
00:16:48,160 --> 00:16:50,120
Speaker 3: all those reasons it's bad that we're killing the world,

307
00:16:50,440 --> 00:16:52,480
Speaker 3: but also, very specifically.

308
00:16:51,920 --> 00:16:53,760
Speaker 2: To me, seasons are important.

309
00:16:54,040 --> 00:16:58,800
Speaker 3: We have already taken the fall decorations and clothing out

310
00:16:58,840 --> 00:17:03,760
Speaker 3: of storage and are ready to move the summer decorations

311
00:17:03,800 --> 00:17:06,400
Speaker 3: into storage, but we can't right now because the weather

312
00:17:06,520 --> 00:17:09,960
Speaker 3: is being so ridiculous and it's just turned my entire

313
00:17:10,000 --> 00:17:12,639
Speaker 3: closet topsy turvy, and I don't know what to do

314
00:17:12,680 --> 00:17:13,119
Speaker 3: with myself.

315
00:17:13,119 --> 00:17:16,040
Speaker 1: I think of the closets, Yeah, of the closets, the

316
00:17:16,080 --> 00:17:17,680
Speaker 1: fossil fuel industry.

317
00:17:17,440 --> 00:17:20,520
Speaker 2: Yeah, please please. I love Yeah, I love seasons, just

318
00:17:20,560 --> 00:17:24,120
Speaker 2: because growing up in LA we only have like two seasons,

319
00:17:24,160 --> 00:17:27,560
Speaker 2: like hot and not as hot. Right, So I like

320
00:17:27,760 --> 00:17:31,800
Speaker 2: I like wearing sleeves, I like hoods, jackets, pants and

321
00:17:31,840 --> 00:17:35,720
Speaker 2: the like. But yeah, yeah, seasons, I do too.

322
00:17:35,720 --> 00:17:37,720
Speaker 3: And on a day like today, it's hard not to

323
00:17:38,160 --> 00:17:41,240
Speaker 3: think back to my childhood trick or treating in New

324
00:17:41,320 --> 00:17:45,240
Speaker 3: Jersey and how grateful you were for the temperature to

325
00:17:45,359 --> 00:17:48,320
Speaker 3: drop a bit. So you're not walking around in like

326
00:17:48,560 --> 00:17:54,600
Speaker 3: full WCW sting makeup in eighty degrees of a pillowcase

327
00:17:54,600 --> 00:17:56,680
Speaker 3: of melting chocolate on your shoulder.

328
00:17:56,400 --> 00:17:58,959
Speaker 1: It would just be a nightmare. I will say, it's

329
00:17:59,000 --> 00:18:01,280
Speaker 1: a little chilly. It was little chilly here this morning,

330
00:18:01,320 --> 00:18:03,000
Speaker 1: so it's not global warming. I don't know what you're

331
00:18:03,000 --> 00:18:05,880
Speaker 1: talking about. Okay, yeah, so we're good there. What's something

332
00:18:05,920 --> 00:18:06,840
Speaker 1: you think is overrated?

333
00:18:07,200 --> 00:18:10,040
Speaker 3: Something that I think is overrated is the I'm so

334
00:18:10,080 --> 00:18:13,200
Speaker 3: sorry for being so Halloween focused. The sophistication and growth

335
00:18:13,200 --> 00:18:15,720
Speaker 3: of the consumer grade Halloween decoration market.

336
00:18:16,000 --> 00:18:16,400
Speaker 2: I'm over.

337
00:18:17,000 --> 00:18:20,800
Speaker 3: I think there there was a time when the the

338
00:18:20,840 --> 00:18:23,760
Speaker 3: house in the neighborhood that went all out for Halloween

339
00:18:23,800 --> 00:18:27,359
Speaker 3: decorations was special. There was something meaningful to that. You

340
00:18:27,400 --> 00:18:31,200
Speaker 3: could tell it was someone who spent a lot of time.

341
00:18:31,400 --> 00:18:34,240
Speaker 3: This is this isn't like I'm not saying that only

342
00:18:34,280 --> 00:18:42,639
Speaker 3: wealthy people should be allowed to decorate for Halloween. But

343
00:18:42,760 --> 00:18:45,320
Speaker 3: it was, like you, we would we would do like

344
00:18:46,040 --> 00:18:49,879
Speaker 3: handmade homemade decorations. It was a big, like Halloween tradition

345
00:18:49,920 --> 00:18:53,239
Speaker 3: for us to make tombstones out of like styrofoam and

346
00:18:53,280 --> 00:18:55,240
Speaker 3: pay them and then come up with funny things to

347
00:18:55,280 --> 00:18:58,080
Speaker 3: write on the tombstones. And that would be like a

348
00:18:58,080 --> 00:19:02,240
Speaker 3: family activity and a point of pride, this decorations that

349
00:19:02,240 --> 00:19:06,040
Speaker 3: we did. And now I feel like the market for

350
00:19:06,160 --> 00:19:09,919
Speaker 3: Halloween decorations has exploded. It's so much cheaper and so

351
00:19:10,080 --> 00:19:14,840
Speaker 3: much easier to get really terrifying and cool looking decorations

352
00:19:15,000 --> 00:19:19,199
Speaker 3: that everyone has them everywhere, And I don't care for it.

353
00:19:19,760 --> 00:19:22,400
Speaker 2: Oh like as it like nothing special anymore because nothing

354
00:19:22,440 --> 00:19:24,080
Speaker 2: special so widely available.

355
00:19:24,080 --> 00:19:26,520
Speaker 1: I get, yes, just twelve foot skeletons as far as

356
00:19:26,520 --> 00:19:27,959
Speaker 1: the eyes can I can see.

357
00:19:28,200 --> 00:19:31,160
Speaker 2: Oh yeah, there's there's a spot in my neighborhood someone

358
00:19:31,160 --> 00:19:34,520
Speaker 2: had three twelve foot like different figures just cramped in

359
00:19:34,560 --> 00:19:36,200
Speaker 2: their yard and it felt like, oh.

360
00:19:36,119 --> 00:19:39,760
Speaker 1: Yeah, I've been noticing a lot of Halloween decoration cramping

361
00:19:39,800 --> 00:19:43,200
Speaker 1: as well, like especially with the inflatables, like the slatable

362
00:19:43,400 --> 00:19:48,359
Speaker 1: just inflatables everywhere. Yeah, yeah, I don't know. I guess

363
00:19:48,359 --> 00:19:49,959
Speaker 1: those things are a little bigger once you get them

364
00:19:50,000 --> 00:19:54,040
Speaker 1: out of the box, the inflatables, because they are ye

365
00:19:54,440 --> 00:19:56,879
Speaker 1: shoulder to shoulder and some of these front yards. My

366
00:19:57,160 --> 00:19:59,239
Speaker 1: twelve foot witch is in my front yard right now.

367
00:19:59,240 --> 00:20:02,400
Speaker 1: We are recording those on Halloween. Uh, in my front yard,

368
00:20:02,480 --> 00:20:05,119
Speaker 1: just reading people for filth. I turned the turn the

369
00:20:05,200 --> 00:20:08,560
Speaker 1: volume back up on her because I had turned her

370
00:20:08,640 --> 00:20:12,560
Speaker 1: down because one of my friends like three year old children,

371
00:20:12,640 --> 00:20:15,399
Speaker 1: got really scared of her, Like he sent me a

372
00:20:15,440 --> 00:20:19,960
Speaker 1: video of his son crying from So I turned the

373
00:20:20,040 --> 00:20:22,800
Speaker 1: volume down on her, turned it back up for Halloween.

374
00:20:23,359 --> 00:20:27,679
Speaker 1: And the writing is just so fucking bad on the

375
00:20:27,760 --> 00:20:30,520
Speaker 1: things she says, like she has a little sensor when

376
00:20:30,520 --> 00:20:32,720
Speaker 1: she walked. When you walk by, she'll like say something,

377
00:20:32,920 --> 00:20:36,480
Speaker 1: but it's like this long meandering It's like how am

378
00:20:36,480 --> 00:20:40,959
Speaker 1: I flying? You ask, Well, that's a good question, and

379
00:20:41,000 --> 00:20:48,080
Speaker 1: that you're like wanting to walk away from her party.

380
00:20:48,280 --> 00:20:50,960
Speaker 1: You're like, put up a chair.

381
00:20:51,119 --> 00:20:53,240
Speaker 2: I used to date orson wells.

382
00:20:55,200 --> 00:20:59,719
Speaker 1: Okay, okay, Uh should we take a break and come

383
00:20:59,720 --> 00:21:02,840
Speaker 1: back and talk about the election, because I mean, it's

384
00:21:02,880 --> 00:21:05,000
Speaker 1: coming up and it's a fun one. It's a real

385
00:21:05,080 --> 00:21:09,720
Speaker 1: coin flip, what drama, what excitement? Will be right back

386
00:21:20,280 --> 00:21:23,679
Speaker 1: and we're back, yes, And I apologize if it sounded

387
00:21:23,720 --> 00:21:26,960
Speaker 1: like I was inside your ear. I have trouble with

388
00:21:27,160 --> 00:21:30,760
Speaker 1: mike discipline. But to be fair, we've only been doing

389
00:21:30,800 --> 00:21:34,600
Speaker 1: the show for seven years. Let's talk about the news. Yeah.

390
00:21:34,960 --> 00:21:38,159
Speaker 2: Yeah. There's a few stats from the early vote that

391
00:21:38,520 --> 00:21:41,760
Speaker 2: has clearly caught the attention of the MAGA crowd. A

392
00:21:41,760 --> 00:21:45,840
Speaker 2: political analysis of early vote data and battleground states said

393
00:21:46,040 --> 00:21:48,520
Speaker 2: there's a two point or ten point gender gap in

394
00:21:48,560 --> 00:21:51,400
Speaker 2: early voting, with women comprising fifty five percent of those

395
00:21:51,440 --> 00:21:55,679
Speaker 2: who had cast ballots nationwide. Early voting data showed that

396
00:21:56,000 --> 00:21:59,480
Speaker 2: on Thursday, but just today, as we record of roughly

397
00:21:59,520 --> 00:22:02,480
Speaker 2: fifty eight million male in and early in person votes

398
00:22:02,520 --> 00:22:05,399
Speaker 2: cast across the country, fifty four percent came from women.

399
00:22:05,760 --> 00:22:07,800
Speaker 2: So this is for the MAGA crowd.

400
00:22:07,800 --> 00:22:08,840
Speaker 1: They're like, oh no.

401
00:22:08,800 --> 00:22:12,160
Speaker 2: Like, have they been hearing what Donald Trump says? Could

402
00:22:12,160 --> 00:22:13,160
Speaker 2: this be a bad thing?

403
00:22:13,200 --> 00:22:13,360
Speaker 1: Now?

404
00:22:13,359 --> 00:22:15,800
Speaker 2: This is probably good news for the Harris campaign, although

405
00:22:15,840 --> 00:22:18,760
Speaker 2: it's entirely possible that a significant portion of that early

406
00:22:18,800 --> 00:22:22,160
Speaker 2: vote is also for Trump, considering the campaign's recent emphasis

407
00:22:22,160 --> 00:22:25,400
Speaker 2: on early voting. So like the last presidential election, less

408
00:22:25,440 --> 00:22:28,080
Speaker 2: than a quarter of male in ballots came from Republicans,

409
00:22:28,359 --> 00:22:31,560
Speaker 2: in this cycle, it's up to a third. But again,

410
00:22:32,040 --> 00:22:35,000
Speaker 2: it's all about turnout. It's all about whatever you have

411
00:22:35,040 --> 00:22:37,160
Speaker 2: to say to get people out. But the way they're

412
00:22:37,200 --> 00:22:40,439
Speaker 2: communicating it is sort of like the Mike Cernovich's and

413
00:22:40,560 --> 00:22:43,399
Speaker 2: Charlie Kirk's of the world are like, where my bros

414
00:22:43,440 --> 00:22:45,600
Speaker 2: at man, We need you guys if we're gonna get

415
00:22:45,600 --> 00:22:48,440
Speaker 2: Trump over the line. If these ladies get out, were crushed.

416
00:22:48,480 --> 00:22:51,679
Speaker 2: Cernavit said, quote, male turnout in Pennsylvania for Trump has

417
00:22:51,680 --> 00:22:55,520
Speaker 2: been a disaster. Unless this changes, Kamala Harris takes Pennsylvania

418
00:22:55,560 --> 00:23:00,160
Speaker 2: and it's over. Charlie Kirk early vote has been disproportionately female. Well,

419
00:23:00,320 --> 00:23:03,639
Speaker 2: if men stay at home, Kamal is president. It's that

420
00:23:03,880 --> 00:23:07,240
Speaker 2: simple poo poo pool. So I think the other thing

421
00:23:07,280 --> 00:23:09,520
Speaker 2: that they're really reacting to I don't know, have you

422
00:23:09,520 --> 00:23:12,159
Speaker 2: guys seen that Kamala Harris ad that's like narrated by

423
00:23:12,240 --> 00:23:15,520
Speaker 2: Julia Roberts, where like a woman goes to the polls

424
00:23:15,560 --> 00:23:18,639
Speaker 2: with like the clearly like a maga coated couple. And

425
00:23:18,760 --> 00:23:21,479
Speaker 2: when the woman goes to the voting booth, she's like,

426
00:23:21,720 --> 00:23:25,080
Speaker 2: I'm gonna actually vote for Kamalo and Tim Walls. And

427
00:23:25,119 --> 00:23:26,960
Speaker 2: then when she goes back to her husband, he's like,

428
00:23:27,000 --> 00:23:29,480
Speaker 2: did you vote, honey for the make the Right choice?

429
00:23:29,480 --> 00:23:32,119
Speaker 2: And she's like, yes, I did, and she like winks

430
00:23:32,160 --> 00:23:34,480
Speaker 2: at another woman at the polling place and then.

431
00:23:34,359 --> 00:23:36,639
Speaker 1: Turns back to the camera and she has thriller eyes.

432
00:23:42,880 --> 00:23:45,720
Speaker 2: So yeah, this has been like this is this has caused.

433
00:23:46,160 --> 00:23:48,159
Speaker 2: I'll just play a clip of Charlie Kirk just he

434
00:23:48,280 --> 00:23:52,480
Speaker 2: was on Magan Kelly's show just talking about how this

435
00:23:52,640 --> 00:23:55,840
Speaker 2: ad is like undermining the modern mayor. I don't know,

436
00:23:55,840 --> 00:23:57,080
Speaker 2: look just this listens to this.

437
00:23:57,800 --> 00:24:00,000
Speaker 6: It is the embodiment of the downfall the American face.

438
00:24:00,359 --> 00:24:04,960
Speaker 6: I think it's so gross. I think it's so just nauseating.

439
00:24:05,000 --> 00:24:07,399
Speaker 6: Where this wife is wearing the show it wear in

440
00:24:07,440 --> 00:24:10,000
Speaker 6: the American hat. She's coming in with her sweet husband

441
00:24:10,400 --> 00:24:12,439
Speaker 6: who probably works his tail off, make sure that she

442
00:24:12,520 --> 00:24:14,760
Speaker 6: can go, you know, and have a nice life and

443
00:24:14,760 --> 00:24:17,399
Speaker 6: provide to the family. And then she lies to him saying, oh, yea,

444
00:24:17,400 --> 00:24:18,760
Speaker 6: I'm gonna vote for Trump, and then she votes for

445
00:24:18,800 --> 00:24:21,080
Speaker 6: Kamala Harris as her little secret in the voting booth.

446
00:24:21,320 --> 00:24:23,240
Speaker 6: Kamala Harris and her team believe that there will be

447
00:24:23,280 --> 00:24:27,200
Speaker 6: millions of women that undermine their husbands and do so

448
00:24:27,280 --> 00:24:29,399
Speaker 6: in a way that it's not detectable in the polling,

449
00:24:30,320 --> 00:24:32,280
Speaker 6: and she needs people to basically.

450
00:24:31,880 --> 00:24:33,240
Speaker 2: Okay, that was ut of the clip.

451
00:24:33,320 --> 00:24:37,240
Speaker 5: Yeah, undermine their husbands again, I am voting for who

452
00:24:37,280 --> 00:24:39,800
Speaker 5: you want to vote for, and yeah, not sharing that

453
00:24:39,880 --> 00:24:44,920
Speaker 5: information if your husband is really awful and like demands

454
00:24:44,920 --> 00:24:46,359
Speaker 5: that you vote for the same person as.

455
00:24:46,320 --> 00:24:48,920
Speaker 2: Him, Yeah, yeah, yeah, yeah, a healthy marriage.

456
00:24:49,119 --> 00:24:51,960
Speaker 3: I was trying to find the exact link for this,

457
00:24:52,040 --> 00:24:54,639
Speaker 3: but did you guys see Jesse Waters talking about this also.

458
00:24:54,680 --> 00:24:56,800
Speaker 2: Oh yeah, you want to hear that. Oh I'd love

459
00:24:56,840 --> 00:24:57,320
Speaker 2: to be great.

460
00:24:57,359 --> 00:24:57,520
Speaker 1: You know.

461
00:24:57,960 --> 00:24:59,800
Speaker 2: Hey, maybe if there's one thing I'm good for, it's

462
00:24:59,840 --> 00:25:03,320
Speaker 2: how the outrage links loaded up. This is Jesse Waters

463
00:25:03,400 --> 00:25:06,600
Speaker 2: being like, this is an executable offense.

464
00:25:07,280 --> 00:25:10,280
Speaker 1: And if I found out Emma was going into the

465
00:25:10,359 --> 00:25:12,240
Speaker 1: voting booth and pulling the lever.

466
00:25:12,359 --> 00:25:15,240
Speaker 2: For Harris, that's the same thing as having an affair.

467
00:25:16,080 --> 00:25:17,800
Speaker 2: That to me, he's.

468
00:25:17,680 --> 00:25:25,320
Speaker 3: Like laughing, he's doing that, Judge the sanctity of our marriage.

469
00:25:25,440 --> 00:25:27,800
Speaker 2: Yes, what else is she keeping from me?

470
00:25:27,920 --> 00:25:33,840
Speaker 3: Exactly what she lying about threatened her? Why would she

471
00:25:33,920 --> 00:25:34,320
Speaker 3: lie to you?

472
00:25:34,560 --> 00:25:37,639
Speaker 2: I like how Janine Piro somehow kind of like on

473
00:25:37,720 --> 00:25:40,560
Speaker 2: the side of reasons, She's like, well, why would why

474
00:25:40,560 --> 00:25:43,480
Speaker 2: would this happen? What's happening in your relationship? Are you

475
00:25:44,200 --> 00:25:45,120
Speaker 2: a monster?

476
00:25:47,119 --> 00:25:49,600
Speaker 3: Even attempting to engage with the bit in good faith?

477
00:25:49,680 --> 00:25:52,320
Speaker 3: Just trying to yes and it leading to a complete

478
00:25:52,359 --> 00:25:52,800
Speaker 3: dead end.

479
00:25:53,160 --> 00:25:59,760
Speaker 2: Yeah, completely completely, So I mean, yeah, I think this

480
00:25:59,880 --> 00:26:04,520
Speaker 2: is sort of all part of everyone's maybe motivational the

481
00:26:04,800 --> 00:26:06,880
Speaker 2: toolkit that they're using for turnout.

482
00:26:06,960 --> 00:26:08,720
Speaker 1: Like that's kind of how I'm reading it. Is just

483
00:26:09,760 --> 00:26:14,040
Speaker 1: the two always decisions that people make when voting. The

484
00:26:14,080 --> 00:26:16,639
Speaker 1: first is weather to vote at all, and that's like

485
00:26:17,240 --> 00:26:20,240
Speaker 1: a huge factor as to who's going to win. So

486
00:26:20,440 --> 00:26:23,520
Speaker 1: this feels like a good story for them to be

487
00:26:23,600 --> 00:26:29,080
Speaker 1: publicizing as it's now possible for everybody to vote. Basically,

488
00:26:29,320 --> 00:26:33,600
Speaker 1: I voted yesterday and I will you know, Andrew t

489
00:26:34,280 --> 00:26:35,880
Speaker 1: Friend of the show. Andrew t was on the show

490
00:26:35,880 --> 00:26:39,879
Speaker 1: and talking about how one reason to vote early is

491
00:26:40,000 --> 00:26:43,359
Speaker 1: once you vote, they stop texting you. I've received a

492
00:26:43,680 --> 00:26:45,720
Speaker 1: text since I voted and it was like, hey, did

493
00:26:45,760 --> 00:26:50,280
Speaker 1: you just vote? And that's it. So I highly recommend.

494
00:26:50,119 --> 00:26:53,080
Speaker 2: I voted every single day this week. I'm gonna do

495
00:26:53,119 --> 00:26:54,040
Speaker 2: it again tomorrow.

496
00:26:54,560 --> 00:26:58,280
Speaker 1: It's fun. We're returning the favor to them to give

497
00:26:58,359 --> 00:27:00,960
Speaker 1: them something they can exert and put on their show.

498
00:27:01,240 --> 00:27:03,600
Speaker 2: Yeah, there's always like I mean cause it's the same

499
00:27:03,640 --> 00:27:06,480
Speaker 2: thing if you have texts from the Democratic Party, like

500
00:27:06,520 --> 00:27:11,359
Speaker 2: about the it's always like we're getting fucked over in Pennsylvania.

501
00:27:11,520 --> 00:27:15,639
Speaker 2: I need seven hundred thousand dollars or Trump is gonna

502
00:27:15,720 --> 00:27:18,679
Speaker 2: rip our heads off. So everyone has their version of,

503
00:27:18,920 --> 00:27:22,560
Speaker 2: you know, shitting the bed rhetorically to get people, you know,

504
00:27:22,640 --> 00:27:25,320
Speaker 2: out to vote. But I think that brings us to

505
00:27:25,359 --> 00:27:29,560
Speaker 2: the other part of a campaign, which is getting out

506
00:27:29,640 --> 00:27:32,760
Speaker 2: the vote. It's we are on the precipice of GTV Weekend,

507
00:27:33,480 --> 00:27:35,920
Speaker 2: where you know, there's a lot of effort to get

508
00:27:35,960 --> 00:27:38,680
Speaker 2: everybody to the polls. And a couple of weeks ago,

509
00:27:38,720 --> 00:27:41,080
Speaker 2: we talked about a story where these people that were

510
00:27:41,160 --> 00:27:44,080
Speaker 2: hired by Elon's America Pack to do door to door

511
00:27:44,119 --> 00:27:47,960
Speaker 2: canvassing for Trump were basically like faking all of their work.

512
00:27:48,000 --> 00:27:50,160
Speaker 2: They just found a way to like spoof the results

513
00:27:50,200 --> 00:27:51,880
Speaker 2: and make it look like they were actually going door

514
00:27:51,960 --> 00:27:53,679
Speaker 2: to door and just be like yeah, and then I

515
00:27:53,760 --> 00:27:56,400
Speaker 2: got my check. Now was it because they were all

516
00:27:56,560 --> 00:27:59,679
Speaker 2: secret libs. I mean I see secret libs all around

517
00:27:59,680 --> 00:28:03,120
Speaker 2: me exactly. You know, I was at a secret lib

518
00:28:03,160 --> 00:28:05,800
Speaker 2: coffee shop and I overheard this. You won't believe it.

519
00:28:06,480 --> 00:28:08,959
Speaker 1: My wife dozes off. I'm just looking at her with

520
00:28:09,080 --> 00:28:14,440
Speaker 1: narrowed eyes, being like, is she a secretly sum for Harris?

521
00:28:16,560 --> 00:28:19,920
Speaker 2: So it turns out that they these people who are

522
00:28:20,080 --> 00:28:22,640
Speaker 2: you know, phoning it in. I might just be reacting

523
00:28:22,680 --> 00:28:25,000
Speaker 2: to the fucked up working conditions because there's a new

524
00:28:25,080 --> 00:28:29,440
Speaker 2: article in Wired magazine. No, yes, yes, Jack, I'm sorry

525
00:28:29,480 --> 00:28:35,120
Speaker 2: to say. I know I know whose subcontract. Now they

526
00:28:35,160 --> 00:28:37,720
Speaker 2: find other people to bring in. This is just from

527
00:28:37,720 --> 00:28:40,400
Speaker 2: like the second paragraph in this article quote in Michigan

528
00:28:40,680 --> 00:28:43,960
Speaker 2: canvassers and paid door knockers for the former president, contracted

529
00:28:43,960 --> 00:28:46,560
Speaker 2: by a firm associated with America Pac have been subjected

530
00:28:46,600 --> 00:28:49,040
Speaker 2: to poor working conditions. A number of them have been

531
00:28:49,120 --> 00:28:52,200
Speaker 2: driven around in the back of a seatless U haul van,

532
00:28:52,480 --> 00:28:55,440
Speaker 2: according to video obtained by Wired, and threatened that they're

533
00:28:55,560 --> 00:28:58,239
Speaker 2: lodging at a local motel would it be paid for

534
00:28:58,280 --> 00:29:01,680
Speaker 2: if they didn't meet canvassing quote. One door knocker alleges

535
00:29:01,720 --> 00:29:03,560
Speaker 2: that they didn't even know they were signing up for

536
00:29:03,640 --> 00:29:06,280
Speaker 2: anything having to do with Musk or Trump, and that

537
00:29:06,360 --> 00:29:10,040
Speaker 2: was until they signed an NDA. So yeah, it's the

538
00:29:10,400 --> 00:29:12,400
Speaker 2: picture of these people. It looks it looks like these

539
00:29:12,440 --> 00:29:14,160
Speaker 2: people are being kidnapped, Like when you see a bunch

540
00:29:14,160 --> 00:29:16,280
Speaker 2: of people in the back of a seatless van, like

541
00:29:16,320 --> 00:29:17,600
Speaker 2: heatless man, that's like.

542
00:29:17,640 --> 00:29:21,600
Speaker 1: An illegal thing that the police do to people as

543
00:29:21,680 --> 00:29:22,360
Speaker 1: like abuse.

544
00:29:22,800 --> 00:29:26,080
Speaker 2: Yes, sure, sure absolutely, but this is also this is

545
00:29:26,120 --> 00:29:29,640
Speaker 2: how you know the America Pack is doing their canvassing. Again,

546
00:29:29,840 --> 00:29:33,680
Speaker 2: any normal campaign with like a functioning field operation, you

547
00:29:33,720 --> 00:29:37,200
Speaker 2: have like a network of field offices, staff and you know,

548
00:29:37,240 --> 00:29:40,640
Speaker 2: battleground states to make sure you get your proper voter turnout.

549
00:29:40,920 --> 00:29:42,959
Speaker 2: But I think a lot of this can be traced

550
00:29:43,000 --> 00:29:46,520
Speaker 2: directly back to Trump installing his daughter in law as

551
00:29:46,560 --> 00:29:50,240
Speaker 2: like a vassal dictator at the RNC, where she basically

552
00:29:50,920 --> 00:29:53,920
Speaker 2: got rid of anyone who may have had any experience

553
00:29:53,960 --> 00:29:56,040
Speaker 2: here in the name of saving money, and because the

554
00:29:56,080 --> 00:29:58,240
Speaker 2: whole thing was Yeah, they had to use all the

555
00:29:58,240 --> 00:30:00,280
Speaker 2: funds of the RNC to be like a Trump Eagle

556
00:30:00,360 --> 00:30:03,880
Speaker 2: slush fund, so you know who knows. So that means

557
00:30:03,920 --> 00:30:06,360
Speaker 2: now all the work of the field, the field work

558
00:30:06,360 --> 00:30:09,520
Speaker 2: and ground game stuff is being done by inexperienced Trump

559
00:30:09,560 --> 00:30:10,760
Speaker 2: allies like Musk.

560
00:30:11,400 --> 00:30:15,800
Speaker 1: Yeah. I wasn't like too excited about the early voting

561
00:30:15,880 --> 00:30:19,440
Speaker 1: numbers because it's just like we've just seen like early

562
00:30:19,520 --> 00:30:22,600
Speaker 1: trends or like you know, straw poles or you know,

563
00:30:23,080 --> 00:30:26,760
Speaker 1: exit polls tell us very misleading things and elections. But

564
00:30:27,520 --> 00:30:31,720
Speaker 1: the idea that there could be a world where all

565
00:30:31,800 --> 00:30:36,080
Speaker 1: of the stuff that he's been doing that plainly looks

566
00:30:36,160 --> 00:30:41,760
Speaker 1: like just corrupt bad practices could like actually come back

567
00:30:41,800 --> 00:30:45,520
Speaker 1: and have consequences on him does warm my heart. Oh

568
00:30:45,680 --> 00:30:49,760
Speaker 1: does saw my frozen heart a tiny bit. Sure, sure

569
00:30:50,320 --> 00:30:53,240
Speaker 1: would love to see it, even though I'm still undecided.

570
00:30:53,360 --> 00:30:57,680
Speaker 3: I would love to see see consequences for his campaigns specifically,

571
00:30:57,800 --> 00:31:02,880
Speaker 3: or because I as much like secondhand joy as I

572
00:31:02,960 --> 00:31:06,400
Speaker 3: experience from from seeing ever report that is like this,

573
00:31:07,080 --> 00:31:11,200
Speaker 3: Elon Musk is running like historically the worst ground game

574
00:31:11,600 --> 00:31:14,000
Speaker 3: in the history of politics. As much as I enjoy that,

575
00:31:14,320 --> 00:31:18,240
Speaker 3: I don't know election wise if that's going to swing anything,

576
00:31:18,280 --> 00:31:20,440
Speaker 3: Like even him doing a bad job is not the

577
00:31:20,520 --> 00:31:23,280
Speaker 3: kind of thing that I think is going to like

578
00:31:23,440 --> 00:31:27,160
Speaker 3: sway undecided voters. Should they still be out there, like

579
00:31:27,320 --> 00:31:30,120
Speaker 3: no one is waiting to see, Like, what's that he

580
00:31:30,200 --> 00:31:33,200
Speaker 3: drove him around in a U haul. Well, if that's

581
00:31:33,240 --> 00:31:35,960
Speaker 3: the kind of man Trump hires for his ground game,

582
00:31:36,360 --> 00:31:37,840
Speaker 3: then I can't trust him with that.

583
00:31:37,920 --> 00:31:40,360
Speaker 1: I don't think the story is going to have impact

584
00:31:40,400 --> 00:31:43,400
Speaker 1: on who people vote for. I guess I'm trusting in

585
00:31:43,480 --> 00:31:48,840
Speaker 1: some like magical boots on the ground electioneering thing that

586
00:31:49,040 --> 00:31:54,080
Speaker 1: I've always heard actually matters in politics, and I have

587
00:31:54,160 --> 00:31:56,680
Speaker 1: to assume it does because they put so much fucking

588
00:31:56,760 --> 00:31:59,720
Speaker 1: money and effort into it. But I don't know. It

589
00:32:00,200 --> 00:32:02,920
Speaker 1: is of course being reported by the same people who

590
00:32:02,960 --> 00:32:06,560
Speaker 1: are like and that's why the Democratic Party should continue

591
00:32:06,560 --> 00:32:09,920
Speaker 1: moving to the right and triangulating course forever.

592
00:32:10,000 --> 00:32:12,160
Speaker 2: And they figured it out. Yeah, I think. I mean

593
00:32:12,960 --> 00:32:15,760
Speaker 2: the negative is going to be that potentially it does

594
00:32:15,960 --> 00:32:17,840
Speaker 2: like they don't reach the people who are only like

595
00:32:17,960 --> 00:32:20,840
Speaker 2: half asked about MAGA stuff that might they might get

596
00:32:20,880 --> 00:32:23,240
Speaker 2: to the polls. So there is that, But Again, I

597
00:32:23,240 --> 00:32:25,080
Speaker 2: don't know if it matters, because I think I think

598
00:32:25,200 --> 00:32:27,360
Speaker 2: plan A for Trump just seems to be to steal

599
00:32:27,400 --> 00:32:30,920
Speaker 2: the fucking election. Yeah, it's not based on the performances

600
00:32:30,920 --> 00:32:33,640
Speaker 2: he's given as a candidate, based on like everything you're

601
00:32:33,640 --> 00:32:36,720
Speaker 2: reading about how it's operating and everything that's happening behind

602
00:32:36,760 --> 00:32:39,760
Speaker 2: the scenes. They seem more invested in a different kind

603
00:32:39,880 --> 00:32:42,800
Speaker 2: of Yeah, I guess we'll call it a non traditional

604
00:32:42,880 --> 00:32:43,440
Speaker 2: type of win.

605
00:32:44,040 --> 00:32:44,600
Speaker 1: Yeah.

606
00:32:44,760 --> 00:32:47,360
Speaker 3: I have another question for you guys, if that's all right. Yes,

607
00:32:47,800 --> 00:32:50,680
Speaker 3: I'm gonna describe everything I say says between us.

608
00:32:50,560 --> 00:32:54,080
Speaker 1: Right, yeah, totally. Yeah.

609
00:32:53,760 --> 00:32:56,760
Speaker 3: You have to let me know if I'm guilty of

610
00:32:56,760 --> 00:33:00,000
Speaker 3: an election crime, because all these stories have me flashed

611
00:33:00,320 --> 00:33:03,920
Speaker 3: back to my sophomore year of college where we were

612
00:33:03,920 --> 00:33:06,600
Speaker 3: looking for money anywhere we could, and then we found

613
00:33:06,640 --> 00:33:09,959
Speaker 3: out that John Corzine, who was running for governor of

614
00:33:10,240 --> 00:33:12,720
Speaker 3: New Jersey as a Democrat at the time, I believe,

615
00:33:13,000 --> 00:33:15,560
Speaker 3: would pay people seventy five dollars a person if they

616
00:33:15,560 --> 00:33:17,920
Speaker 3: would go around and knock on doors. And we were

617
00:33:17,920 --> 00:33:19,920
Speaker 3: picked up in a bus and dropped off a neighborhood

618
00:33:19,920 --> 00:33:22,959
Speaker 3: and went around knocking on doors, just telling people to vote.

619
00:33:23,080 --> 00:33:26,080
Speaker 3: We're explicitly told don't tell people to vote for Corsign,

620
00:33:26,240 --> 00:33:29,080
Speaker 3: just like knock on these doors for a certain amount

621
00:33:29,080 --> 00:33:31,960
Speaker 3: of hours and tell people, hey, have you voted, here's

622
00:33:32,000 --> 00:33:35,320
Speaker 3: your voting place. If you haven't voted, If you have, great,

623
00:33:35,440 --> 00:33:37,160
Speaker 3: have a good day, and then a bus will pick

624
00:33:37,200 --> 00:33:38,120
Speaker 3: you up at the end of the night and you

625
00:33:38,120 --> 00:33:40,080
Speaker 3: will go home and then you will take those seventy

626
00:33:40,080 --> 00:33:44,840
Speaker 3: five dollars and use them to buy weed and sandwiches.

627
00:33:44,880 --> 00:33:47,240
Speaker 3: I think was not like an official directive. But you're

628
00:33:47,280 --> 00:33:49,760
Speaker 3: giving seventy dollars to a college sophomore?

629
00:33:50,240 --> 00:33:50,520
Speaker 1: Is that?

630
00:33:51,400 --> 00:33:51,600
Speaker 4: Is that?

631
00:33:51,960 --> 00:33:52,480
Speaker 2: Is that legal?

632
00:33:52,520 --> 00:33:52,800
Speaker 3: Is that our?

633
00:33:52,920 --> 00:33:53,120
Speaker 1: Yeah?

634
00:33:53,120 --> 00:33:56,200
Speaker 2: Okay, so well that's a right. What probably happened was

635
00:33:56,240 --> 00:33:59,040
Speaker 2: like a dark money group is the one doing the

636
00:33:59,440 --> 00:34:02,840
Speaker 2: paying of you guys. And the reason you can't advocate

637
00:34:02,920 --> 00:34:04,280
Speaker 2: because they were probably trying to do it on the

638
00:34:04,360 --> 00:34:07,480
Speaker 2: level way where you can't direct something depending on the

639
00:34:07,480 --> 00:34:10,680
Speaker 2: nonprofit like the way it's structured, you can't directly advocate

640
00:34:10,680 --> 00:34:12,600
Speaker 2: for a candidate. But they probably put you in an

641
00:34:12,640 --> 00:34:15,120
Speaker 2: area where it was mostly people that were going to

642
00:34:15,200 --> 00:34:17,759
Speaker 2: vote for Corsine, so it didn't you didn't really have

643
00:34:17,880 --> 00:34:20,720
Speaker 2: to be persuasive. More so just to like motivate people

644
00:34:20,760 --> 00:34:23,880
Speaker 2: and then like, no, we're we're non partisan. We're non partisan.

645
00:34:23,960 --> 00:34:25,680
Speaker 1: We're just reminding people.

646
00:34:25,760 --> 00:34:28,839
Speaker 2: Yeah, yeah, yeah, yeah exactly. So no, you're fine, You're fine.

647
00:34:28,920 --> 00:34:32,160
Speaker 1: Did you have a big check that you were that

648
00:34:32,239 --> 00:34:35,360
Speaker 1: you dangled in front of people and said, hey, no,

649
00:34:35,520 --> 00:34:36,440
Speaker 1: they are yours?

650
00:34:36,719 --> 00:34:40,279
Speaker 2: They very smartly. Yes, all right.

651
00:34:41,000 --> 00:34:44,960
Speaker 1: So the whole Trump's stealing the election of it all,

652
00:34:45,360 --> 00:34:49,640
Speaker 1: we we've covered like some specific you know, there's been

653
00:34:49,920 --> 00:34:54,200
Speaker 1: his claims of fraud on social media. There's been a

654
00:34:54,280 --> 00:34:58,719
Speaker 1: physical destruction of ballots by at least one Republican Trump

655
00:34:58,800 --> 00:35:04,439
Speaker 1: supporter in case of a narrow Harris victory. I've seen

656
00:35:04,520 --> 00:35:07,080
Speaker 1: some takes that like, oh, we have nothing to worry

657
00:35:07,120 --> 00:35:10,759
Speaker 1: about because they've made it so the electors can't be

658
00:35:10,840 --> 00:35:13,600
Speaker 1: thrown out this time, Like the thing that they wanted

659
00:35:13,600 --> 00:35:18,880
Speaker 1: Mike Pence to do, they can't do that. But I

660
00:35:18,880 --> 00:35:21,160
Speaker 1: don't know, like that was just one thing they tried

661
00:35:21,239 --> 00:35:23,160
Speaker 1: last time when they didn't really know what the fuck

662
00:35:23,200 --> 00:35:25,920
Speaker 1: they were doing, and Trump didn't have the support of

663
00:35:26,040 --> 00:35:29,520
Speaker 1: the entire Republican Party to steal the election. This time,

664
00:35:29,880 --> 00:35:34,279
Speaker 1: he's had four years to plan, he's consolidated powering Congress,

665
00:35:34,320 --> 00:35:37,920
Speaker 1: and like allegiance and loyalty in Congress and with the

666
00:35:37,960 --> 00:35:42,600
Speaker 1: Supreme Court. It seems so like the one scenario I

667
00:35:42,760 --> 00:35:48,000
Speaker 1: can't foresee is Trump losing a close one and it

668
00:35:48,040 --> 00:35:51,000
Speaker 1: seems like it's going to be close and admitting defeat

669
00:35:51,560 --> 00:35:53,759
Speaker 1: like that's the only that's the only thing that I

670
00:35:53,760 --> 00:35:56,880
Speaker 1: think we could just be like, that's definitely not Can

671
00:35:56,920 --> 00:35:57,759
Speaker 1: I put money on that.

672
00:35:59,040 --> 00:36:04,120
Speaker 3: He is never in the history of time conceded defeat

673
00:36:04,200 --> 00:36:06,640
Speaker 3: on an election he has lost, even like the one

674
00:36:06,680 --> 00:36:09,279
Speaker 3: primary he lost to Ted Cruz, he didn't say that

675
00:36:09,480 --> 00:36:13,839
Speaker 3: was fair, yeah and square, like that is completely out

676
00:36:13,880 --> 00:36:17,200
Speaker 3: the window. The idea of him, first of all, gracefully

677
00:36:17,200 --> 00:36:20,200
Speaker 3: doing anything and second of all gracefully conceding is just

678
00:36:21,520 --> 00:36:23,880
Speaker 3: you know, you want to say, if there's a landslide,

679
00:36:23,880 --> 00:36:26,479
Speaker 3: he'll concede, But even then I don't think it would

680
00:36:26,480 --> 00:36:30,680
Speaker 3: do it. I think the the options are he loses

681
00:36:31,000 --> 00:36:33,680
Speaker 3: narrowly and says it's rigged. He loses big and says

682
00:36:33,680 --> 00:36:38,640
Speaker 3: it's it's rigged. He loses, he wins and says it's rigged,

683
00:36:38,680 --> 00:36:40,279
Speaker 3: but we we still.

684
00:36:40,040 --> 00:36:42,200
Speaker 1: Move one still want which is what he did in

685
00:36:42,239 --> 00:36:47,000
Speaker 1: the in the Clinton Yeah, they never once not said

686
00:36:47,000 --> 00:36:49,840
Speaker 1: that an election he was involved in wasn't rigged. I'm

687
00:36:49,880 --> 00:36:54,800
Speaker 1: pretty sure, like he's never conceded defeat in an argument,

688
00:36:55,040 --> 00:36:56,759
Speaker 1: like in a conversation, like.

689
00:36:56,920 --> 00:36:59,600
Speaker 2: You know, unless he has some kind of like neurological

690
00:36:59,640 --> 00:37:03,400
Speaker 2: events where it's like whoa did he he just he

691
00:37:03,440 --> 00:37:05,800
Speaker 2: fucking said I'm tired, guys, I'm tired.

692
00:37:06,000 --> 00:37:08,160
Speaker 1: Yeah it's over, but yeah, I don't know. There's a

693
00:37:08,200 --> 00:37:11,400
Speaker 1: Vox article talking about like some of the official channels

694
00:37:11,400 --> 00:37:13,360
Speaker 1: they could go through in order to steal a close

695
00:37:13,400 --> 00:37:16,960
Speaker 1: election if Republicans hold the House Speaker Mike Johnson could

696
00:37:17,000 --> 00:37:20,400
Speaker 1: try to interfere with certifying the results. And obviously Trump

697
00:37:20,440 --> 00:37:23,920
Speaker 1: recently made the public statement that he and Mike Johnson.

698
00:37:25,080 --> 00:37:25,680
Speaker 2: Secret thing.

699
00:37:26,120 --> 00:37:27,080
Speaker 1: There's so many secrets.

700
00:37:27,400 --> 00:37:32,320
Speaker 3: There are so many like you almost long for the

701
00:37:32,360 --> 00:37:36,440
Speaker 3: simplicity of his attempts to overturn the last election, because

702
00:37:36,760 --> 00:37:39,239
Speaker 3: there was like an A to B straight line of

703
00:37:39,320 --> 00:37:41,440
Speaker 3: like you were my vice president and you worked for me,

704
00:37:41,480 --> 00:37:43,720
Speaker 3: and I'm telling you throw out the votes or calling

705
00:37:43,800 --> 00:37:47,839
Speaker 3: up uh secretary of State in Georgia and saying find

706
00:37:47,920 --> 00:37:52,120
Speaker 3: votes for me. That kind of stuff was like so clear.

707
00:37:52,680 --> 00:37:55,279
Speaker 3: And now some of the stuff that has happened, and

708
00:37:55,320 --> 00:37:59,640
Speaker 3: it it makes opposing Trump very difficult and frustrating. It

709
00:37:59,680 --> 00:38:03,680
Speaker 3: makes supporting him very funny and fascinating to me because

710
00:38:03,880 --> 00:38:05,719
Speaker 3: one of the major changes that we covered on our

711
00:38:05,719 --> 00:38:08,799
Speaker 3: shows that's happened in the last four years is that

712
00:38:09,040 --> 00:38:14,440
Speaker 3: the like one county of electors, like the elections board

713
00:38:14,520 --> 00:38:19,880
Speaker 3: in one county in Georgia has been like majority stocked

714
00:38:19,960 --> 00:38:22,839
Speaker 3: with Trump sick of fans who truly believe the last

715
00:38:22,880 --> 00:38:27,360
Speaker 3: election was stolen, and they are are like big cheerleaders

716
00:38:27,360 --> 00:38:31,799
Speaker 3: for him and the steal And it's scary that there's

717
00:38:31,800 --> 00:38:34,400
Speaker 3: a bunch of people who who think the system is rigged,

718
00:38:34,400 --> 00:38:36,520
Speaker 3: who are now in charge of whether or not certain

719
00:38:36,600 --> 00:38:40,160
Speaker 3: votes not necessarily get counted, but like how triggers different

720
00:38:40,160 --> 00:38:42,520
Speaker 3: o them, Yeah, how they get counted. And it's a

721
00:38:42,560 --> 00:38:46,040
Speaker 3: fascinating thing to watch as someone like you guys, and

722
00:38:46,040 --> 00:38:49,359
Speaker 3: and like myself who have to watch a lot of Trump.

723
00:38:49,080 --> 00:38:50,120
Speaker 2: Videos all the time.

724
00:38:50,600 --> 00:38:54,680
Speaker 3: The difference between like nine years ago Trump where he

725
00:38:54,719 --> 00:38:59,560
Speaker 3: comes out and he's got very simple ringleader message. It's

726
00:38:59,600 --> 00:39:01,759
Speaker 3: wrong head, but it's compelling. Just like there are bad

727
00:39:01,760 --> 00:39:03,640
Speaker 3: guys they're coming into this country. I'm gonna build a

728
00:39:03,680 --> 00:39:06,120
Speaker 3: wall and it's gonna be free and his fans go

729
00:39:06,320 --> 00:39:08,560
Speaker 3: nuts because they love that message. And now you see

730
00:39:08,600 --> 00:39:12,319
Speaker 3: him at rallies when he's campaigning in Georgia and he's like,

731
00:39:12,440 --> 00:39:14,680
Speaker 3: we need to win this election. We've got some great

732
00:39:14,760 --> 00:39:17,120
Speaker 3: new members of this five person board of Elections in

733
00:39:17,239 --> 00:39:20,439
Speaker 3: Fulton County, Georgia, and they created a beautiful new rule

734
00:39:20,480 --> 00:39:23,839
Speaker 3: that requires a hand count by three different people, and

735
00:39:23,880 --> 00:39:26,160
Speaker 3: if they find any discrepancies, why that.

736
00:39:26,080 --> 00:39:27,560
Speaker 2: Triggers a different rule.

737
00:39:27,600 --> 00:39:31,000
Speaker 3: And like all of his fans the rallies are like, wait, wait, wait,

738
00:39:31,120 --> 00:39:34,120
Speaker 3: this is I liked it when it was the wall,

739
00:39:34,239 --> 00:39:36,239
Speaker 3: and now there are all these other things that I

740
00:39:36,320 --> 00:39:38,400
Speaker 3: need to be. I need to be such a policy

741
00:39:38,480 --> 00:39:40,280
Speaker 3: wonk right to be a Trump supporter.

742
00:39:40,400 --> 00:39:43,160
Speaker 1: Now, that was one of the things that underperformed in

743
00:39:43,160 --> 00:39:45,879
Speaker 1: the twenty twenty two election. It remains to be seen

744
00:39:45,920 --> 00:39:50,480
Speaker 1: if it will underperform like with him actually running the message.

745
00:39:50,520 --> 00:39:53,440
Speaker 1: But like all the candidates who were on the stop

746
00:39:53,480 --> 00:39:56,880
Speaker 1: the steal shit like, people seemed to just be like,

747
00:39:57,960 --> 00:40:00,279
Speaker 1: I don't know, man, like can we like yeah, it's

748
00:40:00,320 --> 00:40:03,120
Speaker 1: like a lot of technicalities and like bullshit that you

749
00:40:03,160 --> 00:40:05,600
Speaker 1: have to like it's a lot of homework to ask

750
00:40:05,719 --> 00:40:12,960
Speaker 1: people to do. And because it's a dumb, bullshit conspiracy theory.

751
00:40:13,080 --> 00:40:15,560
Speaker 1: It's like a bunch of like when you talk to

752
00:40:15,600 --> 00:40:19,520
Speaker 1: a conspiracy theorist, it gets really exhausting quickly because they're

753
00:40:19,600 --> 00:40:22,960
Speaker 1: like ask you to learn thirty different people's names, you know,

754
00:40:23,200 --> 00:40:28,080
Speaker 1: and like the JFK conspiracy theorists are, you know. And

755
00:40:28,360 --> 00:40:31,120
Speaker 1: that's when you get this CIA agent who was sheep

756
00:40:31,200 --> 00:40:34,279
Speaker 1: dipped to be And I'm just like all right, like

757
00:40:34,360 --> 00:40:37,840
Speaker 1: I can't, I can't do this anymore. So I'm hoping

758
00:40:37,960 --> 00:40:41,120
Speaker 1: that that is again like he's kind of over leveraged

759
00:40:41,200 --> 00:40:43,560
Speaker 1: in his messaging in that direction.

760
00:40:44,080 --> 00:40:45,879
Speaker 2: Well yeah, I mean, I think the one thing that's

761
00:40:45,920 --> 00:40:48,520
Speaker 2: consistent is at the very least setting the expect because

762
00:40:48,520 --> 00:40:52,040
Speaker 2: if it is a blowout, the Magaside is prepared to

763
00:40:52,120 --> 00:40:54,719
Speaker 2: think it's not supposed to be a blowout. So like yeah, yeah,

764
00:40:54,719 --> 00:40:57,480
Speaker 2: no matter the outcome they have been, they have been

765
00:40:57,560 --> 00:41:01,799
Speaker 2: like inoculating them against like accepting reality. It's purely the

766
00:41:01,840 --> 00:41:04,799
Speaker 2: expectations are high. That's the one thing I found really

767
00:41:04,800 --> 00:41:06,680
Speaker 2: curious is like you know that like that weird like

768
00:41:06,719 --> 00:41:09,840
Speaker 2: betting market, the polymarket shit that like people can like

769
00:41:09,920 --> 00:41:12,359
Speaker 2: bet on the outcome of the election, and how right

770
00:41:12,400 --> 00:41:15,439
Speaker 2: now a lot of the money is on Trump. Part

771
00:41:15,480 --> 00:41:17,880
Speaker 2: of that also feels like this is like another dimension

772
00:41:17,920 --> 00:41:19,960
Speaker 2: of a potential scam where a lot of people are

773
00:41:20,000 --> 00:41:21,840
Speaker 2: gonna pull a bunch, like they're putting a ton of

774
00:41:21,840 --> 00:41:23,960
Speaker 2: money on Trump to have a lot of people bet

775
00:41:23,960 --> 00:41:26,680
Speaker 2: on Trump, but then bet the opposite and get cause

776
00:41:26,920 --> 00:41:28,879
Speaker 2: you see tweets where people like I'm gonna win four

777
00:41:28,960 --> 00:41:31,359
Speaker 2: hundred dollars when Trump wins the election, Like people are

778
00:41:31,360 --> 00:41:33,719
Speaker 2: looking at those odds like this is great, Like I'm

779
00:41:33,760 --> 00:41:36,400
Speaker 2: gonna make all this money that there's also like a

780
00:41:36,400 --> 00:41:38,640
Speaker 2: fleecing of people that could also be happening based on

781
00:41:38,719 --> 00:41:41,759
Speaker 2: like this skewed betting markets. There's just a lot of

782
00:41:42,800 --> 00:41:47,960
Speaker 2: weird expectation, I think from every angle. But yeah, the

783
00:41:48,360 --> 00:41:50,759
Speaker 2: I don't Yeah, I do not expect anything to be

784
00:41:51,239 --> 00:41:54,080
Speaker 2: you know, peaceful or not chaotic.

785
00:41:54,200 --> 00:41:57,359
Speaker 1: No, Yeah, I just I don't know. It really is

786
00:41:57,520 --> 00:42:00,879
Speaker 1: just his belligerence is going to be there. I think

787
00:42:00,920 --> 00:42:03,080
Speaker 1: there's going to be I don't know. It seems like

788
00:42:03,160 --> 00:42:07,759
Speaker 1: he's going to be pushing for like violence if if

789
00:42:07,800 --> 00:42:10,400
Speaker 1: he loses, you know, if he wins, he'll also be

790
00:42:10,440 --> 00:42:13,520
Speaker 1: pushing for violence. And I'll have the US military disposal.

791
00:42:13,680 --> 00:42:17,360
Speaker 1: But if he loses, Like I just I don't see

792
00:42:17,920 --> 00:42:22,000
Speaker 1: a scenario where like he and Elon Musk go like

793
00:42:22,000 --> 00:42:26,640
Speaker 1: Elon Musk is going to continue to own Twitter and

794
00:42:27,360 --> 00:42:30,719
Speaker 1: you know it's going to be It just feels like

795
00:42:30,880 --> 00:42:33,560
Speaker 1: I like, I'm not going to say we're sleepwalking into

796
00:42:33,600 --> 00:42:35,400
Speaker 1: a disaster because I think a lot of people like

797
00:42:35,480 --> 00:42:38,440
Speaker 1: recognize this is what's happening, but there's just like nothing

798
00:42:38,719 --> 00:42:41,600
Speaker 1: to be done about it. There's just like no option

799
00:42:41,800 --> 00:42:46,920
Speaker 1: that isn't a complete fucking nightmare after this election based

800
00:42:46,960 --> 00:42:51,760
Speaker 1: on you know, how who he is and like institutionally,

801
00:42:51,840 --> 00:42:56,879
Speaker 1: like how he's situated, like the one like hopeful note

802
00:42:56,880 --> 00:42:59,000
Speaker 1: I've seen people is like, well, you know when you

803
00:42:59,160 --> 00:43:04,240
Speaker 1: talk to and like pull individual mega supporters, they seem

804
00:43:04,320 --> 00:43:07,160
Speaker 1: like they're going to be more resigned than like willing

805
00:43:07,239 --> 00:43:09,760
Speaker 1: to take up arms this time around. And like maybe

806
00:43:09,840 --> 00:43:12,200
Speaker 1: a lot of the people who were the most extreme

807
00:43:12,239 --> 00:43:14,840
Speaker 1: are just like are in jail right now for January

808
00:43:14,840 --> 00:43:19,080
Speaker 1: the sixth. But that's I don't know, don't I don't

809
00:43:19,160 --> 00:43:21,920
Speaker 1: like any plan where it's like and then we rely

810
00:43:22,040 --> 00:43:25,680
Speaker 1: on the goodwill of the Trump supporters, right, you know,

811
00:43:25,800 --> 00:43:27,839
Speaker 1: cooler heads to prevail, right.

812
00:43:28,480 --> 00:43:32,759
Speaker 3: Fun fact January sixth. This guy's birthday. Ay, hat be

813
00:43:33,000 --> 00:43:35,719
Speaker 3: birth That's right, it's it's a.

814
00:43:35,640 --> 00:43:37,919
Speaker 2: Lot of fun. It's uh.

815
00:43:38,000 --> 00:43:40,000
Speaker 3: Every year on my birthday now, I get phone calls

816
00:43:40,000 --> 00:43:42,919
Speaker 3: from family members who say happy birthday, and then give

817
00:43:43,040 --> 00:43:44,919
Speaker 3: any phone call enough time. And you got a family

818
00:43:44,960 --> 00:43:48,480
Speaker 3: member who will say, gosh, I still remember I was watching.

819
00:43:48,239 --> 00:43:50,400
Speaker 2: The news gluten like, yep, all right, we've reached that

820
00:43:50,440 --> 00:43:51,920
Speaker 2: part of my birthday. Yep, yep.

821
00:43:52,360 --> 00:43:55,200
Speaker 1: And that's what you do. Stand by your statement that that's

822
00:43:55,080 --> 00:43:58,040
Speaker 1: why you were down in DC that day, was celebrating

823
00:43:58,080 --> 00:44:00,640
Speaker 1: your birthday with your friends, and you just kind of

824
00:44:00,640 --> 00:44:01,719
Speaker 1: got swept along with them.

825
00:44:01,760 --> 00:44:01,880
Speaker 2: Up.

826
00:44:02,360 --> 00:44:04,600
Speaker 3: Some people go to bars for their birthday. I thought,

827
00:44:04,600 --> 00:44:06,239
Speaker 3: you know, what do I want for my birthday? I

828
00:44:06,280 --> 00:44:08,680
Speaker 3: want to take in some culture. I want to visit

829
00:44:08,719 --> 00:44:10,440
Speaker 3: our nation's capital and.

830
00:44:12,000 --> 00:44:14,600
Speaker 2: Have fun, let loose, dress up.

831
00:44:15,000 --> 00:44:15,239
Speaker 1: Yeah.

832
00:44:15,280 --> 00:44:17,919
Speaker 2: And it's just since then you're like you realize, like, oh,

833
00:44:18,280 --> 00:44:21,600
Speaker 2: like January sixth just is the day on our governmental

834
00:44:21,640 --> 00:44:25,440
Speaker 2: calendar for the y It counts the certification of electrical boats.

835
00:44:25,520 --> 00:44:30,319
Speaker 1: Yeah, hey man, happy birthday, Happy early birthday, buddy. Let's

836
00:44:30,320 --> 00:44:32,880
Speaker 1: take a quick break. We'll come back. We'll talk about

837
00:44:33,000 --> 00:44:35,359
Speaker 1: Halloween candy buyback programs.

838
00:44:35,520 --> 00:44:48,880
Speaker 7: We'll be right back, boy, and we're back.

839
00:44:49,040 --> 00:44:49,600
Speaker 2: We're back.

840
00:44:49,920 --> 00:44:54,040
Speaker 1: And it's the day after Halloween. And I mean, if

841
00:44:54,040 --> 00:44:56,160
Speaker 1: you as you listen to this, as you listen to this,

842
00:44:56,200 --> 00:44:58,799
Speaker 1: it's the day after Halloween, you might be getting rid

843
00:44:58,800 --> 00:45:02,319
Speaker 1: of little candy spookiness in our voice because it's still

844
00:45:02,320 --> 00:45:05,399
Speaker 1: Halloween where we are, but we're coming to you from

845
00:45:05,440 --> 00:45:09,719
Speaker 1: the distant past. Twenty four hours ago. Dentists all over

846
00:45:09,760 --> 00:45:13,719
Speaker 1: the country are offering to buy back Halloween candy in

847
00:45:13,760 --> 00:45:19,400
Speaker 1: their continuing effort to be not fun, to make kids'

848
00:45:19,440 --> 00:45:24,480
Speaker 1: lives shitty. So, beginning on November first, children can forfeit

849
00:45:24,520 --> 00:45:27,120
Speaker 1: the bags of candy they worked so hard for in

850
00:45:27,160 --> 00:45:30,560
Speaker 1: exchange for cold, hard cash, which they're probably just going

851
00:45:30,600 --> 00:45:33,280
Speaker 1: to use to buy candy or will it will prepare

852
00:45:33,320 --> 00:45:36,400
Speaker 1: them for the crypto markets of the future. Just a

853
00:45:36,520 --> 00:45:41,200
Speaker 1: terrible fucking deal. They like, they're offering one dollar a

854
00:45:41,320 --> 00:45:45,960
Speaker 1: pound of candy. That's good, that feels low.

855
00:45:46,080 --> 00:45:47,840
Speaker 2: That's like a low ball effort.

856
00:45:48,000 --> 00:45:50,840
Speaker 1: Oh yeah, Like that's so the in terms of like

857
00:45:50,920 --> 00:45:54,799
Speaker 1: how much I feel like you need an hour to

858
00:45:54,840 --> 00:45:57,759
Speaker 1: collect a pound of candy? I mean, unless you steal shit,

859
00:45:57,960 --> 00:46:03,319
Speaker 1: Yeah yeah, yeah, unless you're just knocking, knocking, just nice

860
00:46:03,400 --> 00:46:04,160
Speaker 1: try asshole.

861
00:46:04,360 --> 00:46:06,000
Speaker 2: Sorry, I don't care if you have a ring camera.

862
00:46:06,120 --> 00:46:07,040
Speaker 2: I'm pathetic.

863
00:46:07,600 --> 00:46:11,840
Speaker 1: But yeah, So this began in the early two thousands.

864
00:46:12,160 --> 00:46:15,319
Speaker 1: By twenty fourteen, more than twenty five hundred dentists and

865
00:46:15,520 --> 00:46:20,399
Speaker 1: orthodonists had signed up to participate, and so about three

866
00:46:20,520 --> 00:46:23,480
Speaker 1: hundred were participating in two thousand and seven, twenty five

867
00:46:23,560 --> 00:46:25,880
Speaker 1: hundred by twenty fourteen.

868
00:46:25,920 --> 00:46:28,600
Speaker 2: And love the expansion. I just there's something just the

869
00:46:28,880 --> 00:46:32,799
Speaker 2: the title of a candy buyback program when we have

870
00:46:32,880 --> 00:46:36,600
Speaker 2: such a like we associate buyback programs with guns, you

871
00:46:36,680 --> 00:46:38,680
Speaker 2: know what I mean. And they're like, no, no, no,

872
00:46:38,880 --> 00:46:42,040
Speaker 2: the candy buy back program. You're like, fuck, man, Like,

873
00:46:42,080 --> 00:46:44,960
Speaker 2: what about what about actual issues that heard? Like, is

874
00:46:44,960 --> 00:46:48,200
Speaker 2: that something that somebody could do? Like has anybody tried

875
00:46:48,239 --> 00:46:49,880
Speaker 2: to do like a private gun buyback?

876
00:46:50,080 --> 00:46:54,080
Speaker 1: I guess that would just be like a gun store, right,

877
00:46:54,120 --> 00:46:56,520
Speaker 1: I guess anybody could. I'll give you a dollar a

878
00:46:56,560 --> 00:47:03,080
Speaker 1: pound per gun. Anyways, you're probably wondering what happens to

879
00:47:03,120 --> 00:47:05,120
Speaker 1: the candy. I actually wasn't. I assume they just threw

880
00:47:05,160 --> 00:47:08,120
Speaker 1: it out, But no, it actually gets sent directly to

881
00:47:08,200 --> 00:47:12,520
Speaker 1: the US military. And so the dentist behind this idea,

882
00:47:12,600 --> 00:47:16,880
Speaker 1: doctor Chris Kamer with a K, bragged that he didn't

883
00:47:16,920 --> 00:47:19,239
Speaker 1: want to improve kids dental hygiene so much as he

884
00:47:19,280 --> 00:47:21,719
Speaker 1: wanted to send Halloween treats to our troops to let

885
00:47:21,800 --> 00:47:24,239
Speaker 1: them know we appreciate them and as a thank you

886
00:47:24,320 --> 00:47:27,959
Speaker 1: for serving to keep us safe. This was in two

887
00:47:27,960 --> 00:47:30,000
Speaker 1: thousand and five, just a hall.

888
00:47:29,840 --> 00:47:32,279
Speaker 3: Of fame stance for a dentist to take. Well, give

889
00:47:32,280 --> 00:47:35,240
Speaker 3: a shit it out, teeth. This is about the troops.

890
00:47:35,480 --> 00:47:39,320
Speaker 1: Yeah, this is about supporting the troops. Tricking your kids

891
00:47:39,320 --> 00:47:42,239
Speaker 1: into supporting the troops. This was in two thousand and five,

892
00:47:42,360 --> 00:47:46,359
Speaker 1: so kind of height of war on terror, invasion of

893
00:47:46,480 --> 00:47:50,040
Speaker 1: Iraq and Afghanistan. So the modern version of the buyback

894
00:47:50,480 --> 00:47:55,200
Speaker 1: similarly has dentists working with existing Halloween candy buyback organizations,

895
00:47:55,560 --> 00:47:57,480
Speaker 1: offering kids as little as a dollar a year for

896
00:47:57,560 --> 00:48:00,600
Speaker 1: their candy and selling it to US soldiers or sending

897
00:48:00,600 --> 00:48:03,760
Speaker 1: it to US soldiers instead. And as an old ABC

898
00:48:03,800 --> 00:48:06,439
Speaker 1: News segment about the trend noted, the troops give most

899
00:48:06,480 --> 00:48:10,120
Speaker 1: of the candy away to local children to build relationships. Now,

900
00:48:10,320 --> 00:48:12,239
Speaker 1: if you just turn your brain off right there, just

901
00:48:12,280 --> 00:48:15,879
Speaker 1: turn it off, fine, that's fine. They're giving the candy

902
00:48:15,880 --> 00:48:18,400
Speaker 1: away to kids who probably don't end a story candy,

903
00:48:18,640 --> 00:48:22,920
Speaker 1: it's a happy story. Don't go stop thinking, stop reading

904
00:48:22,960 --> 00:48:24,000
Speaker 1: the story. Jack.

905
00:48:24,400 --> 00:48:26,520
Speaker 2: You can find Jack on Twitter at jack.

906
00:48:28,680 --> 00:48:32,239
Speaker 1: So the candy was really being rerouted to the Middle

907
00:48:32,280 --> 00:48:35,920
Speaker 1: East to help an invading army ingratiate themselves to the

908
00:48:35,960 --> 00:48:39,040
Speaker 1: local children. Is another way of saying the thing that

909
00:48:39,320 --> 00:48:44,520
Speaker 1: we just said, and that like it's just what the

910
00:48:44,560 --> 00:48:48,560
Speaker 1: practice of American soldiers distributing candy to kids is has

911
00:48:48,680 --> 00:48:55,960
Speaker 1: like so many tragic implications, like tragic like outcomes just

912
00:48:56,320 --> 00:48:59,520
Speaker 1: any anytime, these local kids are like drawn in to

913
00:48:59,680 --> 00:49:06,560
Speaker 1: be around soldiers who are a being targeted by people,

914
00:49:06,640 --> 00:49:10,320
Speaker 1: and like, so there have been bombings at like places

915
00:49:10,320 --> 00:49:12,960
Speaker 1: where a bunch of children were gathered around to get candy,

916
00:49:13,120 --> 00:49:15,880
Speaker 1: and there have been like in the cases of some

917
00:49:15,920 --> 00:49:19,600
Speaker 1: of the worst atrocities carried out by US troops, they

918
00:49:20,000 --> 00:49:23,480
Speaker 1: used candy to like draw kids in and like, if

919
00:49:23,480 --> 00:49:27,400
Speaker 1: you want to read details that will ruin your fucking month,

920
00:49:27,719 --> 00:49:32,719
Speaker 1: you can go more into a third platoon and striker

921
00:49:32,800 --> 00:49:37,600
Speaker 1: vehicle with a y. But it's it's fucking awful.

922
00:49:37,719 --> 00:49:41,080
Speaker 2: Yeah, it's like because it's again, we don't know how

923
00:49:41,120 --> 00:49:43,520
Speaker 2: this candy is used. But when you know that these

924
00:49:43,560 --> 00:49:45,960
Speaker 2: are like the practice of giving candy and this is

925
00:49:45,960 --> 00:49:47,799
Speaker 2: one of the organizations, it'd be like, and here's how

926
00:49:47,840 --> 00:49:49,799
Speaker 2: they get their candy. Yeah, it's hard to kind of

927
00:49:49,840 --> 00:49:52,680
Speaker 2: be like, oh god, yeah, the more.

928
00:49:52,960 --> 00:49:57,400
Speaker 1: Yeah, there's no evidence that the specific candy in the

929
00:49:57,440 --> 00:50:02,640
Speaker 1: horrific atrocities came from kids Halloween trade in, but it's

930
00:50:02,680 --> 00:50:07,680
Speaker 1: pretty clear we shouldn't normalize occupying forces distributing candy to children.

931
00:50:08,200 --> 00:50:11,879
Speaker 1: The organization that the Halloween Candy buyback works with is

932
00:50:12,000 --> 00:50:16,360
Speaker 1: also really shitty. It's called Troop Pathon and that's a

933
00:50:16,360 --> 00:50:21,040
Speaker 1: good name. Again, let's just stop there. Troop Pathon sounds fun. Yeah,

934
00:50:21,120 --> 00:50:23,239
Speaker 1: they'll be a little bit cute. Yeah, a little bit

935
00:50:23,239 --> 00:50:23,600
Speaker 1: of fun.

936
00:50:23,840 --> 00:50:26,400
Speaker 2: Is it a marathon? You know, it's a marathon, they trust,

937
00:50:26,840 --> 00:50:29,720
Speaker 2: Oh okay miles. Supporting the troops is not a sprint.

938
00:50:30,200 --> 00:50:33,439
Speaker 2: It's a troo pathon. Thank you, thank you, thank you. Yeah.

939
00:50:33,600 --> 00:50:35,359
Speaker 2: It's like a dance marathon where you have to stay

940
00:50:35,400 --> 00:50:37,640
Speaker 2: up for twenty four hours, trooping the entire time.

941
00:50:38,600 --> 00:50:42,920
Speaker 1: People die from exhaustion, but it doesn't matter anyways. They

942
00:50:42,960 --> 00:50:46,280
Speaker 1: used to be called Move America Forward, and the driving

943
00:50:46,320 --> 00:50:51,240
Speaker 1: force behind Move America Forward was sal Rousseau, the founder

944
00:50:51,280 --> 00:50:56,160
Speaker 1: of the tea party Express Oh Wow Love Yeah so uh,

945
00:50:56,200 --> 00:51:00,960
Speaker 1: and a twenty fourteen Pro public investigation into Move America

946
00:51:01,040 --> 00:51:05,800
Speaker 1: Forward suggested that they mislead donors and provide false information

947
00:51:05,840 --> 00:51:09,799
Speaker 1: about donations, like they claimed that they were sending care

948
00:51:09,840 --> 00:51:12,520
Speaker 1: packages to a marine battalion that was not on the

949
00:51:12,520 --> 00:51:15,960
Speaker 1: continent they claimed they were sending the care packages to.

950
00:51:16,640 --> 00:51:19,840
Speaker 1: They also used images from veterans without their permission, falsely

951
00:51:19,840 --> 00:51:22,960
Speaker 1: claimed to have a partnership with Walter Reed Medical Center

952
00:51:23,080 --> 00:51:28,160
Speaker 1: that they did not scans. So the charity donations, you know,

953
00:51:28,239 --> 00:51:32,120
Speaker 1: the monetary charity donations that they were supposedly sending to

954
00:51:32,120 --> 00:51:36,839
Speaker 1: to the troops for the Troupathon of American Support, were

955
00:51:36,880 --> 00:51:41,120
Speaker 1: actually being used to subsidize three conservative political action committees,

956
00:51:41,160 --> 00:51:46,200
Speaker 1: according to Pro Publica, and the organization denied those allegations,

957
00:51:46,360 --> 00:51:49,560
Speaker 1: were like, we're not changing shit we have. We don't

958
00:51:49,600 --> 00:51:53,799
Speaker 1: have anything to be apologizing for or ashamed of. And

959
00:51:53,840 --> 00:51:57,640
Speaker 1: then they promptly changed their name to t Yeah.

960
00:51:57,680 --> 00:52:00,439
Speaker 2: This is so funny, just such a I mean, this

961
00:52:00,440 --> 00:52:02,719
Speaker 2: this all falls into the right wing grift, Like it's like, no,

962
00:52:02,800 --> 00:52:04,640
Speaker 2: we care about the troops and we don't. We don't,

963
00:52:04,680 --> 00:52:06,799
Speaker 2: we don't, but we know you might now give me

964
00:52:06,960 --> 00:52:09,239
Speaker 2: your money and I can use it for something else.

965
00:52:09,320 --> 00:52:12,000
Speaker 2: But yeah, there's I mean it must be. It's probably

966
00:52:12,040 --> 00:52:14,360
Speaker 2: so opaque too for people who donate their money to

967
00:52:14,400 --> 00:52:17,480
Speaker 2: even understand how what the outcome is of their donation.

968
00:52:17,760 --> 00:52:19,520
Speaker 2: So it's probably like the second there, like I don't know,

969
00:52:19,560 --> 00:52:22,480
Speaker 2: it's for the troops and yeah that's enough for me.

970
00:52:23,440 --> 00:52:26,480
Speaker 3: I do wonder this is such a silly thought. They'll

971
00:52:26,520 --> 00:52:30,200
Speaker 3: need to spend more time on if including America in

972
00:52:30,239 --> 00:52:35,600
Speaker 3: the the name of whatever your your organization is, if

973
00:52:35,600 --> 00:52:38,600
Speaker 3: that's completely gone the other way at this point in

974
00:52:38,719 --> 00:52:42,239
Speaker 3: terms of convincing people that you're doing the right thing.

975
00:52:42,280 --> 00:52:43,680
Speaker 3: I don't know if this is maga or if this

976
00:52:43,719 --> 00:52:48,160
Speaker 3: is something else, but just hearing the name moving America forward, yeah, like.

977
00:52:48,120 --> 00:52:49,360
Speaker 1: Ah, what are you fucking up to?

978
00:52:51,960 --> 00:52:52,680
Speaker 2: Tackles are up?

979
00:52:53,120 --> 00:52:53,359
Speaker 5: Yeah?

980
00:52:53,400 --> 00:52:57,800
Speaker 2: Yeah, yeah forward where? But yeah, it's really it's.

981
00:52:57,680 --> 00:53:00,080
Speaker 1: Not been great for the brand for the American And

982
00:53:00,239 --> 00:53:02,440
Speaker 1: I'm gonna say it, guys, I think Meg has been

983
00:53:02,480 --> 00:53:03,840
Speaker 1: bad for the brand person.

984
00:53:03,960 --> 00:53:06,359
Speaker 2: Wow, okay, yeah, I take a thon.

985
00:53:06,760 --> 00:53:07,920
Speaker 1: I'm a little weird like that.

986
00:53:10,360 --> 00:53:13,120
Speaker 2: Yeah, I mean it's like I'm again, I think there's

987
00:53:13,120 --> 00:53:15,759
Speaker 2: just something so grim even hearing about the idea of

988
00:53:15,800 --> 00:53:20,040
Speaker 2: a candy buyback program, even without all these other details,

989
00:53:20,080 --> 00:53:24,320
Speaker 2: I'm still like, humhmm, this feels odd, it feels strange,

990
00:53:24,600 --> 00:53:25,960
Speaker 2: and I feel like there's so many other ways if

991
00:53:26,000 --> 00:53:28,839
Speaker 2: it's truly about like dental health, a lot better ways

992
00:53:28,840 --> 00:53:30,520
Speaker 2: to do that then to be like, yeah, give us

993
00:53:30,600 --> 00:53:34,520
Speaker 2: your your candy for some for very low return.

994
00:53:34,640 --> 00:53:36,759
Speaker 3: I really liked the idea of it when I was

995
00:53:36,880 --> 00:53:38,960
Speaker 3: not investigating it whatsoever.

996
00:53:39,280 --> 00:53:40,520
Speaker 2: Like this was a thing.

997
00:53:40,680 --> 00:53:44,120
Speaker 3: That for the last couple of years as someone who

998
00:53:44,600 --> 00:53:46,840
Speaker 3: uh in my last place I had, I lived in

999
00:53:46,880 --> 00:53:48,359
Speaker 3: a neighborhood where you got a lot of kids trick

1000
00:53:48,400 --> 00:53:50,560
Speaker 3: or treaters, and then I ended up with a lot

1001
00:53:50,600 --> 00:53:52,000
Speaker 3: of candy afterwards.

1002
00:53:52,480 --> 00:53:55,480
Speaker 2: It was really great cover for me.

1003
00:53:55,680 --> 00:53:57,680
Speaker 3: Whenever I would talk to other adults who had too

1004
00:53:57,719 --> 00:53:59,799
Speaker 3: much candy, I would be like, well, you know, there's

1005
00:53:59,840 --> 00:54:01,880
Speaker 3: this organization that lets you buy back candy and it

1006
00:54:01,880 --> 00:54:03,920
Speaker 3: sends the candy to the troops. That was a thing

1007
00:54:03,960 --> 00:54:07,280
Speaker 3: that I never had to investigate a because it seemed

1008
00:54:07,280 --> 00:54:11,160
Speaker 3: harmless enough. It didn't they A lot of the early

1009
00:54:11,440 --> 00:54:14,040
Speaker 3: messaging didn't include that the troops were giving it to

1010
00:54:14,840 --> 00:54:17,680
Speaker 3: children specifically. It seemed like this was just like give

1011
00:54:17,719 --> 00:54:18,719
Speaker 3: the troops a little bit.

1012
00:54:18,640 --> 00:54:20,120
Speaker 1: Of candy, a little treat.

1013
00:54:20,200 --> 00:54:20,439
Speaker 2: Huh.

1014
00:54:20,480 --> 00:54:23,480
Speaker 3: And the other reason I didn't investigate it was it

1015
00:54:23,520 --> 00:54:27,000
Speaker 3: was mostly cover for me that like, if I told

1016
00:54:27,040 --> 00:54:29,919
Speaker 3: you that this organization exists, then surely you won't think

1017
00:54:30,040 --> 00:54:32,040
Speaker 3: I'm eating all the candy, right.

1018
00:54:31,960 --> 00:54:35,759
Speaker 1: Yeah, yeah, I end up eating so much of my

1019
00:54:35,840 --> 00:54:39,040
Speaker 1: kids Halloween candy. It's it's really I need to come

1020
00:54:39,120 --> 00:54:40,040
Speaker 1: up with a better solution.

1021
00:54:40,200 --> 00:54:42,839
Speaker 2: Well, no, no, you're doing your part to fight American imperialism.

1022
00:54:42,920 --> 00:54:44,000
Speaker 2: But that's rights.

1023
00:54:44,480 --> 00:54:47,359
Speaker 1: But now now I'll feel like a hero when I'm

1024
00:54:47,400 --> 00:54:50,200
Speaker 1: doing exactly not a collaborate. I'm not getting my kids

1025
00:54:50,239 --> 00:54:54,719
Speaker 1: mixed up. No war crimes and fraud. Fucking father of

1026
00:54:54,760 --> 00:54:55,120
Speaker 1: the Year.

1027
00:54:56,080 --> 00:54:58,600
Speaker 2: You tell your kids you like scare your kids, like, well,

1028
00:54:58,680 --> 00:54:59,799
Speaker 2: do you want to go in front of a war?

1029
00:55:00,160 --> 00:55:01,919
Speaker 1: You know you want to go to the I saw

1030
00:55:02,239 --> 00:55:03,440
Speaker 1: like chocolate cake for.

1031
00:55:06,239 --> 00:55:07,680
Speaker 2: Hague is fucked up. I'm telling you.

1032
00:55:07,920 --> 00:55:10,520
Speaker 1: I'm telling you, man, why do you want like peanut

1033
00:55:10,560 --> 00:55:13,480
Speaker 1: butter cups? Yeah, I'm gonna the doctor says, I'm gonna

1034
00:55:13,480 --> 00:55:15,680
Speaker 1: smell like peanut butter cups for a couple months now,

1035
00:55:15,760 --> 00:55:18,240
Speaker 1: but nothing could be done.

1036
00:55:18,680 --> 00:55:21,080
Speaker 3: Oh I got this great dentist. He doesn't give a

1037
00:55:21,080 --> 00:55:22,759
Speaker 3: shit about teeth, so I'm clear.

1038
00:55:24,719 --> 00:55:25,160
Speaker 2: Just to ask.

1039
00:55:25,719 --> 00:55:30,040
Speaker 1: We just talked about politics. Daniel O'Brien, truly a pleasure

1040
00:55:30,200 --> 00:55:33,799
Speaker 1: having you on the daily Zeitgeist. Where can people find you?

1041
00:55:33,920 --> 00:55:36,920
Speaker 1: Follow you all that good stuff. You can find me

1042
00:55:37,000 --> 00:55:39,719
Speaker 1: on Blue Sky. I'm there every once in a while.

1043
00:55:39,800 --> 00:55:43,480
Speaker 1: I mostly left Twitter, but I came back to promote

1044
00:55:43,920 --> 00:55:47,880
Speaker 1: a rare live show appearance. I'm going to be doing

1045
00:55:47,960 --> 00:55:52,279
Speaker 1: some kind of comedy at Late Stage Live, which is

1046
00:55:52,280 --> 00:55:54,600
Speaker 1: a queer and trans focused late night comedy show. It's

1047
00:55:54,640 --> 00:55:57,080
Speaker 1: going to be part of the New York Comedy Festival.

1048
00:55:57,400 --> 00:56:00,359
Speaker 1: That's at the Bellhouse in Brooklyn on November twelfth.

1049
00:56:00,080 --> 00:56:05,120
Speaker 3: At boy ten pm. You could find information about that.

1050
00:56:06,239 --> 00:56:10,000
Speaker 3: I know I was when Ella, who is the host

1051
00:56:10,239 --> 00:56:12,760
Speaker 3: of that show also a writer for Friend of Ours

1052
00:56:12,800 --> 00:56:16,000
Speaker 3: Cody Johnston and David Bell and Katie Stole's Some More

1053
00:56:16,040 --> 00:56:18,440
Speaker 3: News show. When Ella reached out, it was like, we

1054
00:56:18,440 --> 00:56:20,600
Speaker 3: would love to have you as a guest on our

1055
00:56:20,680 --> 00:56:24,000
Speaker 3: late night show in New York. I was so thrilled

1056
00:56:24,040 --> 00:56:26,799
Speaker 3: at the idea of doing comedy in New York in

1057
00:56:26,840 --> 00:56:31,000
Speaker 3: front of people again. And then when she said ten

1058
00:56:31,120 --> 00:56:33,640
Speaker 3: pm on a Tuesday, I was like, Oh, that's.

1059
00:56:33,520 --> 00:56:36,600
Speaker 2: Right, that's what this life was like.

1060
00:56:36,840 --> 00:56:37,560
Speaker 1: That's what it was.

1061
00:56:39,280 --> 00:56:40,680
Speaker 2: But I'll be doing that November twelfth.

1062
00:56:40,680 --> 00:56:44,719
Speaker 3: It'll be a week after the election, doing late night

1063
00:56:44,800 --> 00:56:48,680
Speaker 3: show that you know, we'll see what everyone's mood is.

1064
00:56:48,719 --> 00:56:51,120
Speaker 3: There's no way to predict what the vibe is going

1065
00:56:51,200 --> 00:56:55,239
Speaker 3: to be, but we'll be there doing making as as

1066
00:56:55,320 --> 00:56:56,520
Speaker 3: much fun as we can.

1067
00:56:57,120 --> 00:56:58,000
Speaker 1: Beyond that, you.

1068
00:56:58,000 --> 00:57:00,480
Speaker 3: Can listen to the show Quick Question with Sore and Daniel.

1069
00:57:01,080 --> 00:57:03,120
Speaker 3: It's a podcast I do with my best friend and

1070
00:57:03,280 --> 00:57:06,759
Speaker 3: former Cracked campadre Soren Bowie, who is currently a writer

1071
00:57:06,800 --> 00:57:07,760
Speaker 3: for An American Dad.

1072
00:57:08,160 --> 00:57:08,880
Speaker 2: We are two.

1073
00:57:08,800 --> 00:57:13,239
Speaker 3: Working comedy writers for television, and we never talk about it.

1074
00:57:13,280 --> 00:57:15,879
Speaker 3: We mostly just it's an hour long phone call where

1075
00:57:15,880 --> 00:57:18,400
Speaker 3: two buddies catch up every week and you get to

1076
00:57:18,440 --> 00:57:18,880
Speaker 3: listen to.

1077
00:57:18,840 --> 00:57:19,560
Speaker 2: It if you want.

1078
00:57:20,040 --> 00:57:22,080
Speaker 1: I think, but what if you guys talked about comedy,

1079
00:57:22,200 --> 00:57:23,960
Speaker 1: Like have you ever thought about that? Like a comedy

1080
00:57:24,000 --> 00:57:27,120
Speaker 1: podcast where people like talk about comedy.

1081
00:57:26,720 --> 00:57:27,960
Speaker 2: Every once in a while.

1082
00:57:28,440 --> 00:57:30,400
Speaker 3: We think, I want to just like sit down and

1083
00:57:30,440 --> 00:57:31,960
Speaker 3: be like, so, sorry, who are your guys?

1084
00:57:35,040 --> 00:57:36,480
Speaker 2: Who's coming up for you.

1085
00:57:36,840 --> 00:57:37,400
Speaker 1: We look it at.

1086
00:57:37,440 --> 00:57:39,800
Speaker 2: Who you like it? Who you like you? I like

1087
00:57:39,880 --> 00:57:40,320
Speaker 2: Mark there.

1088
00:57:41,000 --> 00:57:42,720
Speaker 1: It's so easy to make fun of that show, but

1089
00:57:42,840 --> 00:57:46,520
Speaker 1: he does it well. All right, Daniel, Is there a

1090
00:57:46,520 --> 00:57:48,280
Speaker 1: work a media that you've been enjoying?

1091
00:57:49,080 --> 00:57:49,280
Speaker 2: Oh?

1092
00:57:49,400 --> 00:57:52,960
Speaker 3: Yes, Tina Frimmel. It's the last name is spelled f

1093
00:57:53,200 --> 00:57:56,840
Speaker 3: R I am L. She is a comedian that the

1094
00:57:57,640 --> 00:58:01,880
Speaker 3: good folks at Instagram's algorithm brought onto my feed. She

1095
00:58:02,480 --> 00:58:05,560
Speaker 3: is a young, up and coming comedian. One of the

1096
00:58:05,560 --> 00:58:10,720
Speaker 3: things that will immediately distinguish her to people who aren't

1097
00:58:10,720 --> 00:58:14,320
Speaker 3: familiar is that she does have cerebral palsy, and her

1098
00:58:14,600 --> 00:58:18,600
Speaker 3: comedy touches on that, but is also just like, genuinely like.

1099
00:58:19,120 --> 00:58:21,480
Speaker 3: The two parts of her work that I love is

1100
00:58:21,520 --> 00:58:25,080
Speaker 3: that I'm hearing from someone in comedy like a voice

1101
00:58:25,080 --> 00:58:29,200
Speaker 3: and a perspective that I'm just not really getting anywhere else.

1102
00:58:29,400 --> 00:58:32,040
Speaker 3: And two, she is just hilarious. She's one of the

1103
00:58:32,080 --> 00:58:34,040
Speaker 3: funniest people to ever do it. I can't believe how

1104
00:58:34,080 --> 00:58:38,000
Speaker 3: young she is. It's it's very frustrating, and I cannot

1105
00:58:38,040 --> 00:58:41,400
Speaker 3: recommend her enough. I've been working in comedy in some

1106
00:58:41,600 --> 00:58:44,479
Speaker 3: form or another since two thousand and seven, which means

1107
00:58:44,480 --> 00:58:48,560
Speaker 3: I'm old and that I can still be like surprised

1108
00:58:48,560 --> 00:58:51,080
Speaker 3: and excited by a new voice is really really fun.

1109
00:58:51,160 --> 00:58:53,439
Speaker 3: So Tina Frimmel check her out.

1110
00:58:53,680 --> 00:58:58,040
Speaker 1: Fr I am l great, no, great recommendation.

1111
00:58:58,200 --> 00:58:58,680
Speaker 2: She got it.

1112
00:58:58,720 --> 00:59:01,080
Speaker 1: Miles, where can people find you? There a workimedia you've

1113
00:59:01,080 --> 00:59:02,280
Speaker 1: been enjoying? Yeah?

1114
00:59:02,400 --> 00:59:05,320
Speaker 2: Yeah, wherever they have at Symbols at Miles of Gray

1115
00:59:05,840 --> 00:59:08,480
Speaker 2: basketball talk. That's Miles and Jack on Man boost E's

1116
00:59:08,760 --> 00:59:11,240
Speaker 2: ninety day Fiance talk. I do that on four to

1117
00:59:11,280 --> 00:59:14,520
Speaker 2: twenty day fiance. Some tweets I like. First one is

1118
00:59:14,520 --> 00:59:18,880
Speaker 2: from at Bimbo Underscore Hours. Reagan Lee Stallion tweeted, you

1119
00:59:18,920 --> 00:59:21,560
Speaker 2: gotta dabble in just enough for recreational drug use in

1120
00:59:21,600 --> 00:59:24,040
Speaker 2: your youth to develop a solid taste in music, but

1121
00:59:24,120 --> 00:59:27,240
Speaker 2: not enough to permanently addle your brain. It's a fine line,

1122
00:59:27,520 --> 00:59:29,600
Speaker 2: and I felt that. I felt that as someone who

1123
00:59:29,640 --> 00:59:31,320
Speaker 2: prides themselves on their musical taste.

1124
00:59:31,640 --> 00:59:31,720
Speaker 5: Uh.

1125
00:59:31,880 --> 00:59:35,760
Speaker 2: And then Josh Gondleman again if he again he's a

1126
00:59:35,800 --> 00:59:38,640
Speaker 2: Boston guy. His hate for New York stuff, it comes

1127
00:59:38,680 --> 00:59:42,080
Speaker 2: through in really awesome ways at Josh gondle treated sports

1128
00:59:42,120 --> 00:59:42,959
Speaker 2: not New York stuff.

1129
00:59:42,960 --> 00:59:43,520
Speaker 1: I think he lives.

1130
00:59:43,560 --> 00:59:47,080
Speaker 2: But when it comes like Nix or Donkey on New

1131
00:59:47,120 --> 00:59:51,120
Speaker 2: York Sports stuff. He comes out like with his last thing,

1132
00:59:51,240 --> 00:59:53,200
Speaker 2: referencing the three and oho the three to zero come

1133
00:59:53,240 --> 00:59:55,200
Speaker 2: back from the Red Sox against the Yankees this time.

1134
00:59:55,240 --> 00:59:57,880
Speaker 2: Josh Gondoman treated, the Yankee should have a fan that

1135
00:59:57,960 --> 01:00:04,960
Speaker 2: helps put the ball in their players.

1136
01:00:05,000 --> 01:00:08,080
Speaker 1: So good, God bless them, God bless him, and God

1137
01:00:08,080 --> 01:00:11,120
Speaker 1: bless the Yankees. You know, tough, tough to see. You

1138
01:00:11,160 --> 01:00:17,400
Speaker 1: hate to see the Yankees lose. Some tweets I've been

1139
01:00:17,480 --> 01:00:22,040
Speaker 1: enjoying Alice doesn't have bangs at cinema. Milf tweeted, Nicole

1140
01:00:22,120 --> 01:00:24,760
Speaker 1: Kidman being in a film called Baby Girl is actually

1141
01:00:24,800 --> 01:00:27,680
Speaker 1: perfect because it's like another version of her last name

1142
01:00:28,480 --> 01:00:29,959
Speaker 1: kid Man baby Girl.

1143
01:00:32,560 --> 01:00:34,680
Speaker 2: God damn it.

1144
01:00:34,920 --> 01:00:41,200
Speaker 1: So I never noticed that baby and Frank Bullet tweeted

1145
01:00:41,240 --> 01:00:45,840
Speaker 1: watching the Yankees loses like seeing cops going to jail. Yeah,

1146
01:00:46,000 --> 01:00:49,760
Speaker 1: I kept tweeting, texting this to you, mild I just

1147
01:00:49,800 --> 01:00:52,960
Speaker 1: like every new person who would come up on the Yankees,

1148
01:00:52,960 --> 01:00:55,840
Speaker 1: I'd be like, God, each one looks more like a

1149
01:00:55,880 --> 01:01:00,160
Speaker 1: fucking cop. It's crazy, culminating with the guy with the

1150
01:01:00,240 --> 01:01:05,040
Speaker 1: mustache and the NYPD turtle neck underneath his uniform.

1151
01:01:05,160 --> 01:01:05,360
Speaker 2: Yeah.

1152
01:01:05,360 --> 01:01:08,920
Speaker 1: Well, anyways, you can find me on Twitter at Jack

1153
01:01:09,000 --> 01:01:11,880
Speaker 1: Underscore Brian. You can find us on Twitter at Daily Zeitgeist.

1154
01:01:11,880 --> 01:01:14,560
Speaker 1: We're at the Daily Zeichgeist on Instagram. We have a

1155
01:01:14,560 --> 01:01:17,280
Speaker 1: Facebook fan page on a website Daily Zeikeist dot com

1156
01:01:17,280 --> 01:01:20,120
Speaker 1: where we post our episode than our footnotes, we link

1157
01:01:20,160 --> 01:01:22,360
Speaker 1: off to the information that we talked about in today's episode,

1158
01:01:22,360 --> 01:01:23,280
Speaker 1: as well as a song.

1159
01:01:23,160 --> 01:01:24,320
Speaker 2: That we think you might enjoy.

1160
01:01:24,920 --> 01:01:26,600
Speaker 1: Myles, what song do you think people might enjoy?

1161
01:01:26,960 --> 01:01:29,480
Speaker 2: Just look, it was just some something nice and easy

1162
01:01:29,640 --> 01:01:33,440
Speaker 2: as we go into a stressful weekend. Probably this is

1163
01:01:33,440 --> 01:01:36,000
Speaker 2: a track by Unknown Mortal Orchestra. You may have heard

1164
01:01:36,040 --> 01:01:40,560
Speaker 2: it's called Nadia n a DJA, but I love Unknown

1165
01:01:40,560 --> 01:01:45,680
Speaker 2: Mortal Orchestra. Unnarn Mortal Orchestras.

1166
01:01:44,600 --> 01:01:47,640
Speaker 1: Is Australian and sometimes it's slips yeah sorry, yeah, yeah,

1167
01:01:47,640 --> 01:01:48,960
Speaker 1: exactly losing the accent.

1168
01:01:49,080 --> 01:01:53,280
Speaker 2: But kilometers gray. But yeah, yeah, this is a great track.

1169
01:01:53,400 --> 01:01:56,720
Speaker 2: Nadia enjoy and just relax, relax and don't think I

1170
01:01:56,720 --> 01:01:58,600
Speaker 2: missed that kilometers Gray. That was very good.

1171
01:01:58,920 --> 01:02:00,560
Speaker 3: I really had to sit and think for a second.

1172
01:02:00,720 --> 01:02:02,200
Speaker 3: Is that did they use that?

1173
01:02:02,440 --> 01:02:02,720
Speaker 2: Sister?

1174
01:02:04,080 --> 01:02:07,040
Speaker 1: I feel like if anybody outside of the US would

1175
01:02:07,240 --> 01:02:10,120
Speaker 1: be not using it, it would be Australia, but I

1176
01:02:10,120 --> 01:02:13,680
Speaker 1: do think they're on the they're on that km shit.

1177
01:02:14,000 --> 01:02:16,000
Speaker 2: All right, phew, all right.

1178
01:02:15,880 --> 01:02:18,120
Speaker 1: Well, The Daily is the production of by Heart Radio.

1179
01:02:18,160 --> 01:02:20,680
Speaker 1: For more podcasts from my Heart Radio, visit the iHeartRadio app,

1180
01:02:20,680 --> 01:02:23,600
Speaker 1: Apple Podcast or wherever you listen to your favorite shows.

1181
01:02:23,640 --> 01:02:25,120
Speaker 1: That is going to do it for us this week.

1182
01:02:25,200 --> 01:02:27,480
Speaker 1: We're back on Monday to tell you what was trending

1183
01:02:27,480 --> 01:02:29,560
Speaker 1: over the weekend. We'll also have the Greatest Hits episode

1184
01:02:29,560 --> 01:02:33,760
Speaker 1: over the weekend. We also just dropped the first video

1185
01:02:33,840 --> 01:02:36,760
Speaker 1: episode and then a couple other video episodes of the

1186
01:02:36,800 --> 01:02:40,240
Speaker 1: show on air YouTube channel. So go on YouTube search

1187
01:02:40,280 --> 01:02:43,720
Speaker 1: Daily z Eye Geist. You can see our faces saying

1188
01:02:43,840 --> 01:02:45,160
Speaker 1: words like these.

1189
01:02:45,040 --> 01:02:47,000
Speaker 2: Over there, and we don't want to freak you Out'll

1190
01:02:47,000 --> 01:02:50,240
Speaker 2: talk to you all on Monday. Bye bye,