1
00:00:02,759 --> 00:00:03,520
Speaker 1: On Halloween.

2
00:00:03,760 --> 00:00:06,000
Speaker 2: So Halloween, Yeah, how was your Halloween? I haven't talked

3
00:00:06,000 --> 00:00:06,760
Speaker 2: to Halloween.

4
00:00:07,280 --> 00:00:10,799
Speaker 1: I dressed as Drew Barrymore from Scream. I had like

5
00:00:10,960 --> 00:00:16,960
Speaker 1: I realized I've got the big blond wig. Then you

6
00:00:17,000 --> 00:00:20,680
Speaker 1: just need like a knit cream colored sweater. Yeah, and

7
00:00:20,760 --> 00:00:26,200
Speaker 1: like blue jeans. Okay, yeah great. I it was just

8
00:00:26,200 --> 00:00:28,160
Speaker 1: like it was one of those things people were I

9
00:00:28,280 --> 00:00:31,560
Speaker 1: was treated like some kind of weirdo the whole time,

10
00:00:31,680 --> 00:00:35,480
Speaker 1: walking around with the baby and we're trick or treating

11
00:00:35,520 --> 00:00:38,479
Speaker 1: and people are like, oh hey. It was just oh,

12
00:00:38,760 --> 00:00:40,360
Speaker 1: I don't know if you just don't talk to each

13
00:00:40,400 --> 00:00:42,559
Speaker 1: other like usually be like, oh cool costume. What are

14
00:00:42,600 --> 00:00:45,600
Speaker 1: you that feels like a thing? People just say, We're like, oh, like,

15
00:00:45,640 --> 00:00:47,440
Speaker 1: what are you supposed to be? Like, I'll ask because

16
00:00:47,440 --> 00:00:49,159
Speaker 1: sometimes people put a lot of energy in it, and

17
00:00:49,200 --> 00:00:51,040
Speaker 1: I'm like, oh, I want to be up on it.

18
00:00:51,440 --> 00:00:53,760
Speaker 1: Not a single person asked. A lot of people treated

19
00:00:53,800 --> 00:00:57,440
Speaker 1: me like I was just stealing candy from my baby child,

20
00:00:58,680 --> 00:01:00,240
Speaker 1: very odd, and I was like, we need to just

21
00:01:00,240 --> 00:01:01,920
Speaker 1: be able to ask. I don't want to wear a

22
00:01:01,960 --> 00:01:05,920
Speaker 1: fucking label that says I am Drew Barrymore from Scream.

23
00:01:06,400 --> 00:01:06,600
Speaker 2: Yeah.

24
00:01:06,600 --> 00:01:08,520
Speaker 1: At the same time, I think also I could have

25
00:01:08,560 --> 00:01:13,120
Speaker 1: shaved my face. Yeah, minute, so I did. I probably

26
00:01:13,120 --> 00:01:16,800
Speaker 1: looked like some kind of weird like Southeast Asian crypto

27
00:01:16,920 --> 00:01:18,080
Speaker 1: criminal or something.

28
00:01:18,280 --> 00:01:20,360
Speaker 2: Sure, I feel I feel like if you had worn

29
00:01:20,440 --> 00:01:23,520
Speaker 2: a sandwich board that said I am Drew Barrymore from Scream,

30
00:01:23,560 --> 00:01:25,360
Speaker 2: it would have really sold it.

31
00:01:26,040 --> 00:01:28,759
Speaker 1: Yeah. I should have worn that sandwich board like Bruce Willis.

32
00:01:28,760 --> 00:01:31,720
Speaker 2: And I keep telling you that I don't know why

33
00:01:31,720 --> 00:01:33,560
Speaker 2: you're not taking my note on that I.

34
00:01:33,640 --> 00:01:36,080
Speaker 1: Have it with like a switchblade stuck in the board

35
00:01:36,080 --> 00:01:37,759
Speaker 1: from that one scene where the guy throws the knife

36
00:01:37,800 --> 00:01:38,199
Speaker 1: at him.

37
00:01:38,280 --> 00:01:41,680
Speaker 2: Yeah, the uh, there we go. There's a requisite. I

38
00:01:41,760 --> 00:01:44,880
Speaker 2: heard three reference of the day. Brian, Brian did it

39
00:01:44,959 --> 00:01:48,840
Speaker 2: this time? Brian the editor is the Guilty Party sandwich Board.

40
00:01:49,000 --> 00:01:59,120
Speaker 3: Yeah, hello the Internet, and welcome to this Monday, November

41
00:01:59,200 --> 00:02:00,000
Speaker 3: fourth EPISOD.

42
00:02:00,040 --> 00:02:03,520
Speaker 1: So guys, Yeah.

43
00:02:03,040 --> 00:02:05,600
Speaker 2: The week Trend edition where we tell you what was

44
00:02:05,640 --> 00:02:09,040
Speaker 2: trending over the week trend was spending on Monday morning.

45
00:02:09,960 --> 00:02:11,720
Speaker 2: My name is Jack O'Brien. That, of course over there

46
00:02:11,760 --> 00:02:13,639
Speaker 2: is Miles.

47
00:02:15,280 --> 00:02:18,880
Speaker 1: Drew Berry Moore from Scream. Bothered to ask what my

48
00:02:18,919 --> 00:02:22,120
Speaker 1: costume was? If you bothered to ask, if you bother

49
00:02:22,240 --> 00:02:25,400
Speaker 1: to ask more from scream.

50
00:02:25,560 --> 00:02:27,320
Speaker 2: I do think the cordless phone, but doesn't have to

51
00:02:27,320 --> 00:02:29,240
Speaker 2: be kind of hard to find these days.

52
00:02:30,040 --> 00:02:32,160
Speaker 1: I know my mom had. My mom does not throw

53
00:02:32,160 --> 00:02:34,680
Speaker 1: away old tech like if I need an old like

54
00:02:34,720 --> 00:02:36,960
Speaker 1: I remember I needed a prop for a video once,

55
00:02:37,000 --> 00:02:40,000
Speaker 1: like years ago, and we had two old iMacs at

56
00:02:40,040 --> 00:02:46,320
Speaker 1: that in the garage, nice like Newberry flavor back when ship. Yeah, yeah,

57
00:02:46,440 --> 00:02:51,000
Speaker 1: that I'm talking about launch like launch iMac in the garage.

58
00:02:51,040 --> 00:02:52,639
Speaker 2: Well it looks like costume jewelry.

59
00:02:52,960 --> 00:02:53,560
Speaker 1: Yeah, exactly.

60
00:02:55,440 --> 00:02:59,239
Speaker 2: All right, Well, uh, this is uh, this is the

61
00:02:59,320 --> 00:03:00,560
Speaker 2: day before the election.

62
00:03:01,000 --> 00:03:06,079
Speaker 1: Hey, take your time tomorrow, take your time.

63
00:03:08,200 --> 00:03:12,040
Speaker 2: Hey, look the one thing comforting me. They did a

64
00:03:12,080 --> 00:03:14,840
Speaker 2: whole season of that show, twenty four and twenty four hours,

65
00:03:14,960 --> 00:03:17,320
Speaker 2: so you know you can fit a lot in before.

66
00:03:17,400 --> 00:03:17,880
Speaker 1: That's true.

67
00:03:18,400 --> 00:03:21,640
Speaker 2: So just everybody calm down. We got all right, Tomorrow

68
00:03:21,720 --> 00:03:25,240
Speaker 2: is going to be bad. Tomorrow's gonna be weird.

69
00:03:25,280 --> 00:03:28,519
Speaker 1: It's going to be weird. But I don't know. There's

70
00:03:28,680 --> 00:03:31,480
Speaker 1: there's plenty to make you feel good or bad. That's

71
00:03:31,600 --> 00:03:33,120
Speaker 1: depending on how you got the news.

72
00:03:33,280 --> 00:03:35,720
Speaker 2: All right, So this is the episode where we tell

73
00:03:35,760 --> 00:03:38,560
Speaker 2: you what's trending. But first we tell you some of

74
00:03:38,560 --> 00:03:41,360
Speaker 2: the things that we think are underrated and overrated. To

75
00:03:41,560 --> 00:03:43,720
Speaker 2: let you get to know us a little bit better.

76
00:03:43,920 --> 00:03:44,800
Speaker 2: We allow it.

77
00:03:45,240 --> 00:03:46,120
Speaker 1: We allow you.

78
00:03:46,040 --> 00:03:47,800
Speaker 2: To get to know us a little bit better. Miles,

79
00:03:47,840 --> 00:03:48,960
Speaker 2: do you want to kick us off with some of

80
00:03:49,000 --> 00:03:50,880
Speaker 2: you thinks underrated? Something underrated?

81
00:03:51,280 --> 00:03:54,640
Speaker 1: Underrated? Donald Trump Junior's eyes as a barometer for how

82
00:03:54,720 --> 00:03:58,600
Speaker 1: well things are going in Trump world. Okay, because this

83
00:03:59,320 --> 00:04:04,520
Speaker 1: mf do Uh, this entire weekend has had He's had

84
00:04:04,560 --> 00:04:08,520
Speaker 1: the eyes of an anti cocaine p s A. And

85
00:04:08,600 --> 00:04:12,880
Speaker 1: I'm like, maybe maybe shit's all right. Like this one,

86
00:04:12,920 --> 00:04:15,240
Speaker 1: there's like this one. I'm gonna just show you this one. Jack,

87
00:04:15,320 --> 00:04:17,719
Speaker 1: you tell me if this is the face of someone

88
00:04:17,800 --> 00:04:22,400
Speaker 1: who's who's who's who's preparing for eventual Trump win. Here's

89
00:04:22,600 --> 00:04:24,320
Speaker 1: here's Don Junior on Saturday.

90
00:04:26,080 --> 00:04:30,640
Speaker 4: Oh my god, Don Junior is so high right now,

91
00:04:35,279 --> 00:04:36,960
Speaker 4: it doesn't have to be that way. We can vote

92
00:04:37,000 --> 00:04:38,320
Speaker 4: that don't do drugs.

93
00:04:38,400 --> 00:04:40,559
Speaker 1: Kids, You'll look like this guy.

94
00:04:41,800 --> 00:04:45,600
Speaker 2: Holy shit, he looks like he has some manner of

95
00:04:46,080 --> 00:04:50,760
Speaker 2: horrible eye infection or he is the highest anyone's ever been.

96
00:04:52,400 --> 00:04:52,679
Speaker 5: God.

97
00:04:53,200 --> 00:04:57,880
Speaker 1: And then uh, yesterday he's again because like we said,

98
00:04:57,960 --> 00:05:01,440
Speaker 1: Plan A has not been to win this elec for Trump.

99
00:05:01,480 --> 00:05:04,359
Speaker 1: We've that's just been so clear from how everything's been going.

100
00:05:05,320 --> 00:05:08,400
Speaker 1: Plan A is to steal the election. And so this

101
00:05:08,560 --> 00:05:11,719
Speaker 1: is Trump doing his little you know bit, his little

102
00:05:11,880 --> 00:05:15,479
Speaker 1: uh contribution to keeping the people into believing that the

103
00:05:15,520 --> 00:05:17,680
Speaker 1: election is going to be stolen without a doubt, and

104
00:05:17,720 --> 00:05:20,680
Speaker 1: also with featuring the same weird high eyes.

105
00:05:20,760 --> 00:05:24,360
Speaker 6: Drag it out for oh yeah, you know what they're

106
00:05:24,360 --> 00:05:25,000
Speaker 6: going to try to do.

107
00:05:25,080 --> 00:05:27,039
Speaker 1: We've seen this playbook before, but this time.

108
00:05:28,240 --> 00:05:29,640
Speaker 2: Yeah, you can see he's.

109
00:05:29,440 --> 00:05:32,920
Speaker 7: Like we cling to you, don't give him a week

110
00:05:33,040 --> 00:05:35,240
Speaker 7: log at that his eyes closed.

111
00:05:35,360 --> 00:05:38,520
Speaker 2: I think they're closed, and then like their times is

112
00:05:38,560 --> 00:05:41,320
Speaker 2: like trying to get them just like pry them open

113
00:05:41,360 --> 00:05:42,320
Speaker 2: with his eyebrows.

114
00:05:42,520 --> 00:05:45,400
Speaker 1: Yeah. Yeah, it looks like someone trying to will themselves

115
00:05:45,440 --> 00:05:48,120
Speaker 1: out of a coma or something. If it was possible

116
00:05:48,160 --> 00:05:49,480
Speaker 1: to be like I'm off.

117
00:05:49,360 --> 00:05:52,920
Speaker 2: This, God damn, I hope this is a barometer of

118
00:05:53,080 --> 00:05:56,600
Speaker 2: anything beyond cocaine dependency.

119
00:05:57,279 --> 00:05:59,400
Speaker 1: I feel like it's also just again, you know, I

120
00:05:59,400 --> 00:06:01,279
Speaker 1: don't know. I I want to live in the reality

121
00:06:01,320 --> 00:06:05,400
Speaker 1: where there's not another Trump presidency for sure, but yeah,

122
00:06:05,400 --> 00:06:08,480
Speaker 1: I don't know. This It just feels like third act

123
00:06:08,520 --> 00:06:10,560
Speaker 1: of like the movies or the bad guy just has

124
00:06:10,600 --> 00:06:12,640
Speaker 1: to get so off their face to like just make

125
00:06:12,680 --> 00:06:16,400
Speaker 1: it through. But anyway, that's my thing. I'm looking at

126
00:06:16,400 --> 00:06:19,880
Speaker 1: that more than the polls. I go, mmm mmmm, we're

127
00:06:19,960 --> 00:06:23,120
Speaker 1: using we're doing something to cope. Huh. I don't know

128
00:06:23,160 --> 00:06:24,480
Speaker 1: what it is, but I mean.

129
00:06:24,320 --> 00:06:26,080
Speaker 2: It also junior eye pull.

130
00:06:26,400 --> 00:06:29,440
Speaker 1: Yeah, look, you don't always need to take chemical accessories

131
00:06:29,480 --> 00:06:32,320
Speaker 1: when times are bad. Sometimes people do that to do well.

132
00:06:32,360 --> 00:06:34,279
Speaker 1: So it's you know, it could be either way, but

133
00:06:34,400 --> 00:06:36,280
Speaker 1: for me, I choose to see this as a as

134
00:06:36,320 --> 00:06:37,080
Speaker 1: a as an omen.

135
00:06:37,200 --> 00:06:39,360
Speaker 2: Yeah, he seems like he's fallen apart a little bit,

136
00:06:39,360 --> 00:06:42,000
Speaker 2: but has seemed that way for a while.

137
00:06:42,360 --> 00:06:44,160
Speaker 1: Yeah, yeah, yeah, yeah, this is but this is me,

138
00:06:44,400 --> 00:06:46,760
Speaker 1: this is me, how I'm I'm going to sleep, and

139
00:06:46,800 --> 00:06:51,200
Speaker 1: I go, oh, he's fucked up. Okay. They are most.

140
00:06:51,080 --> 00:06:57,360
Speaker 2: Certainly not looking like an owl homie, looking more like, yeah,

141
00:06:57,400 --> 00:07:00,440
Speaker 2: he spent too many hours like an owl and now,

142
00:07:00,880 --> 00:07:06,240
Speaker 2: uh his street light has been dimmed. All right, my

143
00:07:06,440 --> 00:07:09,800
Speaker 2: underrated the way I'm dealing with the fact that the

144
00:07:09,800 --> 00:07:13,800
Speaker 2: elections tomorrow, uh, you could probably guess his birds. It's

145
00:07:13,840 --> 00:07:19,280
Speaker 2: the burbs. I discovered some videos of Ravens speaking this.

146
00:07:19,400 --> 00:07:22,800
Speaker 1: Weekend discovered like a fucking explorer.

147
00:07:22,880 --> 00:07:29,200
Speaker 2: I've miles dispatch from the depths of uh huh, you

148
00:07:29,240 --> 00:07:34,000
Speaker 2: know Twitter, just being on Twitter for a couple of hours. No,

149
00:07:34,200 --> 00:07:38,360
Speaker 2: I don't know. Like parrots are the bird we think

150
00:07:38,400 --> 00:07:41,120
Speaker 2: of when we think of like being able to speak

151
00:07:41,280 --> 00:07:45,840
Speaker 2: say human words. They have a very like everyone everyone

152
00:07:45,880 --> 00:07:48,240
Speaker 2: can do an imitation of what a parrot sounds like

153
00:07:48,240 --> 00:07:54,720
Speaker 2: when they're talking about miles election, the election was stolen.

154
00:07:56,200 --> 00:08:00,720
Speaker 2: I just want to play a couple uh highlights of

155
00:08:01,240 --> 00:08:05,400
Speaker 2: a couple of videos of ravens speaking because they sound

156
00:08:05,520 --> 00:08:08,160
Speaker 2: like a fucking satanic tape recorder.

157
00:08:09,000 --> 00:08:12,880
Speaker 1: Okay, let's start off with this clip that you've shared.

158
00:08:15,160 --> 00:08:18,160
Speaker 1: It's a raven on a shore of some kind of

159
00:08:18,200 --> 00:08:20,880
Speaker 1: a lake. Boy what.

160
00:08:22,640 --> 00:08:23,480
Speaker 3: Boy? Oh?

161
00:08:23,560 --> 00:08:28,040
Speaker 1: Hell no, boy? Who you calling? Boy?

162
00:08:28,120 --> 00:08:28,240
Speaker 3: Bro?

163
00:08:30,800 --> 00:08:33,960
Speaker 2: It feels it it sounds like someone's saying something like

164
00:08:34,040 --> 00:08:38,000
Speaker 2: in your ear yeah yeah yeah, boy, like right behind you.

165
00:08:38,520 --> 00:08:41,679
Speaker 1: It does creep. Did you want you remember did you

166
00:08:41,720 --> 00:08:43,880
Speaker 1: listen to the Other World that like six parts special

167
00:08:43,920 --> 00:08:46,640
Speaker 1: that he did with the with the Scandinavian woman.

168
00:08:46,800 --> 00:08:48,480
Speaker 2: I didn't get to the end of it.

169
00:08:48,559 --> 00:08:50,320
Speaker 1: No, oh, but did you get to the part where

170
00:08:50,320 --> 00:08:52,280
Speaker 1: like the aliens were talking through their throats and ship.

171
00:08:52,559 --> 00:08:55,640
Speaker 1: Oh yeah, yeah, it has this. This has this creepy

172
00:08:55,840 --> 00:09:00,599
Speaker 1: sort of like non human but human trying to communicate

173
00:09:01,080 --> 00:09:01,800
Speaker 1: quality to it.

174
00:09:01,760 --> 00:09:04,520
Speaker 2: That yeah, there's a human in there. Like imagine just

175
00:09:04,559 --> 00:09:08,440
Speaker 2: being like walking in the woods and hearing that ship like.

176
00:09:08,440 --> 00:09:12,959
Speaker 1: In the depending on the century, I'm like, oh, that's satan. Yeah,

177
00:09:13,080 --> 00:09:14,080
Speaker 1: and we have to repent.

178
00:09:14,320 --> 00:09:19,240
Speaker 2: Absolutely. It makes a lot of sense of people being

179
00:09:19,360 --> 00:09:24,839
Speaker 2: terrified of the woods, yeah, and of birds. And then

180
00:09:25,080 --> 00:09:27,800
Speaker 2: there's there's another one where a woman is just like

181
00:09:27,920 --> 00:09:33,800
Speaker 2: chilling with her pet raven and again just like making

182
00:09:33,800 --> 00:09:37,400
Speaker 2: all sorts of wild noises. They're apparently like great mimics

183
00:09:37,440 --> 00:09:41,840
Speaker 2: of everything like it doesn't you know there wins Low

184
00:09:42,000 --> 00:09:42,760
Speaker 2: esque when.

185
00:09:44,240 --> 00:09:47,040
Speaker 1: I've seen them like mimic like ambulance sirens and things

186
00:09:47,080 --> 00:09:50,560
Speaker 1: like that too. Okay, so this is another one. Lady

187
00:09:50,840 --> 00:09:54,360
Speaker 1: and Raven, the hit new duo coming out of America.

188
00:09:58,320 --> 00:10:05,120
Speaker 8: Okay, people talking about stories, usually ghost stories, in hearing

189
00:10:05,160 --> 00:10:08,440
Speaker 8: something in the woods that they can't see and they

190
00:10:08,440 --> 00:10:09,680
Speaker 8: can't place and.

191
00:10:10,240 --> 00:10:15,920
Speaker 9: It moves around in the dark. And the first thing

192
00:10:15,960 --> 00:10:19,199
Speaker 9: that always comes to my mind is ravens as fables

193
00:10:19,240 --> 00:10:24,640
Speaker 9: just shown you all COVID so crows rooks, magpies, jays,

194
00:10:24,880 --> 00:10:28,720
Speaker 9: ravens can imitate, and they imitate much better than parrots.

195
00:10:28,840 --> 00:10:33,160
Speaker 8: So I often think that with parrots it sounds quite

196
00:10:33,240 --> 00:10:35,360
Speaker 8: robotic and you can tell it's a parrot.

197
00:10:35,720 --> 00:10:42,320
Speaker 1: But with ravens, oh no, no, nope, Hi, but doesn't

198
00:10:42,360 --> 00:10:43,000
Speaker 1: too smart.

199
00:10:43,240 --> 00:10:46,920
Speaker 2: It sounds like something is fucking trapped in It sounds

200
00:10:46,920 --> 00:10:49,840
Speaker 2: like not just a bird target. It sounds like someone

201
00:10:49,920 --> 00:10:53,280
Speaker 2: is trapped somewhere, yeah, like inside the bird or something.

202
00:10:53,480 --> 00:10:56,000
Speaker 1: It feels like a bit where like a character just

203
00:10:56,080 --> 00:10:58,800
Speaker 1: opens their mouth and a recording plays or something where

204
00:10:58,840 --> 00:11:01,559
Speaker 1: it's like it it's just not I don't know. It

205
00:11:01,840 --> 00:11:04,360
Speaker 1: feels robotic in the sense of like this is a

206
00:11:04,400 --> 00:11:07,000
Speaker 1: machine that does a thing, that can replay audio out

207
00:11:07,000 --> 00:11:07,560
Speaker 1: of its mouth.

208
00:11:08,040 --> 00:11:11,280
Speaker 2: Yeah, And so this applies to ravens are kind of

209
00:11:11,280 --> 00:11:14,959
Speaker 2: the best at it, but it applies to all corvids,

210
00:11:14,960 --> 00:11:18,439
Speaker 2: so even you know, crows jays are really good mimics,

211
00:11:18,800 --> 00:11:21,840
Speaker 2: and like ravens in different parts of the world sound

212
00:11:21,920 --> 00:11:25,079
Speaker 2: totally different from one another because they're imitating I'm assuming

213
00:11:25,160 --> 00:11:28,600
Speaker 2: like different sounds, right, but they're basically taking what's around

214
00:11:28,640 --> 00:11:31,840
Speaker 2: them and like reflecting it back like there. So it's

215
00:11:31,960 --> 00:11:35,080
Speaker 2: just like the noises they make are like a reflection

216
00:11:35,400 --> 00:11:39,480
Speaker 2: of there's probably like sounds from the ancient world that

217
00:11:39,800 --> 00:11:43,040
Speaker 2: are like words from dead language that only survive in

218
00:11:43,160 --> 00:11:44,480
Speaker 2: like the calls of work.

219
00:11:44,520 --> 00:11:48,000
Speaker 1: I don't even think that it's just being you know.

220
00:11:48,120 --> 00:11:52,400
Speaker 2: Sounds that were captured generations and generations ago.

221
00:11:52,679 --> 00:11:58,400
Speaker 1: Like that's probably why that one was like, boy, exactly.

222
00:11:58,040 --> 00:11:59,440
Speaker 2: It's very problematic.

223
00:12:00,160 --> 00:12:03,720
Speaker 1: Yeah, but yeah, I was on a Georgia plantation. Boy,

224
00:12:03,920 --> 00:12:05,760
Speaker 1: Like what, yeah, okay.

225
00:12:06,640 --> 00:12:08,640
Speaker 2: All right, what's something you think is overrated?

226
00:12:08,679 --> 00:12:14,840
Speaker 1: Mouth overrated? I'm just Americans sphere of death and you know,

227
00:12:15,120 --> 00:12:22,120
Speaker 1: unending pursuit for immortality. There's like something culturally very unique

228
00:12:22,120 --> 00:12:26,520
Speaker 1: about Americans where like we just don't think death is

229
00:12:26,520 --> 00:12:27,760
Speaker 1: like a thing that yeah.

230
00:12:27,600 --> 00:12:28,600
Speaker 2: We don't know that shit.

231
00:12:29,040 --> 00:12:32,040
Speaker 1: Yeah, and we're like all we have the forever young mentality.

232
00:12:32,480 --> 00:12:34,280
Speaker 1: I mean, like you look at like certain stats like

233
00:12:34,320 --> 00:12:36,880
Speaker 1: twenty eight of out of like the thirty eight like

234
00:12:37,440 --> 00:12:40,240
Speaker 1: high tech anti aging startup labs, or like in the

235
00:12:40,360 --> 00:12:43,800
Speaker 1: United States where like people are superstar in an article

236
00:12:43,840 --> 00:12:46,240
Speaker 1: about all these Americans who are super into dog cloning.

237
00:12:47,320 --> 00:12:49,240
Speaker 1: Just like this idea that we can just like, I

238
00:12:49,240 --> 00:12:52,080
Speaker 1: don't know, maybe upload my brain to the cloud or

239
00:12:52,559 --> 00:12:55,680
Speaker 1: I can you know, Disney my body and cryo freeze

240
00:12:55,720 --> 00:12:59,120
Speaker 1: and be alive later. It just feels like again we

241
00:12:59,200 --> 00:13:01,160
Speaker 1: hate death and all act like it's a thing that's

242
00:13:01,160 --> 00:13:03,720
Speaker 1: not coming. I think that's also why we have politicians

243
00:13:03,720 --> 00:13:06,439
Speaker 1: that think they can still do a job while simultaneously

244
00:13:06,480 --> 00:13:09,319
Speaker 1: have the rest of America hating the site of old

245
00:13:09,360 --> 00:13:12,200
Speaker 1: people like like what the fuck is so old? But

246
00:13:12,240 --> 00:13:14,679
Speaker 1: then the old people like I can do it, It's okay,

247
00:13:14,760 --> 00:13:17,520
Speaker 1: and like this is just fucking gross. Yeah.

248
00:13:17,559 --> 00:13:19,360
Speaker 2: And I think had this as a as one of

249
00:13:19,400 --> 00:13:21,640
Speaker 2: mine a couple of weeks ago, but I think I

250
00:13:21,679 --> 00:13:24,480
Speaker 2: didn't necessarily I might not use it, but I it

251
00:13:24,520 --> 00:13:27,480
Speaker 2: was in response to like the Jimmy Carter photos and

252
00:13:27,520 --> 00:13:30,439
Speaker 2: people being like, oh my god, this ruined my appetite.

253
00:13:30,480 --> 00:13:34,760
Speaker 2: Stop showing Jimmy Carter. It's fucking disgusting. It's like, I

254
00:13:34,800 --> 00:13:36,640
Speaker 2: don't know, man, that's coming for all of us.

255
00:13:37,080 --> 00:13:40,040
Speaker 1: Yeah, right, And I think this idea of like pseudo

256
00:13:40,200 --> 00:13:43,800
Speaker 1: immortality also feel feeds into like the lack of action

257
00:13:43,960 --> 00:13:46,600
Speaker 1: in regards to climate change, like similar to like how

258
00:13:46,640 --> 00:13:49,680
Speaker 1: those who want to live forever believe that a miracle

259
00:13:49,720 --> 00:13:52,360
Speaker 1: pill is right around the corner, so we also have

260
00:13:52,480 --> 00:13:56,240
Speaker 1: like like the long termism type thinking around climate and

261
00:13:56,280 --> 00:13:58,120
Speaker 1: like what is like what we need to do now

262
00:13:58,160 --> 00:14:00,600
Speaker 1: or what we don't need to worry about or because

263
00:14:00,640 --> 00:14:02,840
Speaker 1: like maybe a magic things right around the corner.

264
00:14:03,160 --> 00:14:03,679
Speaker 2: I don't think.

265
00:14:03,760 --> 00:14:08,280
Speaker 1: Fine, Yeah, there's just it's just such a fucking damning

266
00:14:08,440 --> 00:14:11,640
Speaker 1: mindset and it's just like pervasive because like now as

267
00:14:11,679 --> 00:14:14,160
Speaker 1: you I think about that too in the context of

268
00:14:14,200 --> 00:14:18,040
Speaker 1: how like the Trump rallies clearly are having diminished turnout,

269
00:14:18,080 --> 00:14:21,800
Speaker 1: like physical like physically bodies are not showing up in

270
00:14:21,880 --> 00:14:23,800
Speaker 1: space to see Trump talk.

271
00:14:24,800 --> 00:14:27,240
Speaker 2: One where he was like not an empty seat. They

272
00:14:27,280 --> 00:14:30,360
Speaker 2: tell you it's empty seats and then the camera opera

273
00:14:31,920 --> 00:14:38,840
Speaker 2: resooms the stadium.

274
00:14:39,000 --> 00:14:41,640
Speaker 1: Yeah, yeah, exactly. And I think part of that too

275
00:14:41,760 --> 00:14:44,080
Speaker 1: is like this thing of like people being like, dude,

276
00:14:44,080 --> 00:14:48,280
Speaker 1: he's old. Like there it might finally be connecting. Aside

277
00:14:48,320 --> 00:14:51,400
Speaker 1: from that, the whole platform is odious. I think more

278
00:14:51,440 --> 00:14:53,480
Speaker 1: than that, it's just kind of like it's a bummer

279
00:14:53,520 --> 00:14:56,880
Speaker 1: to just see this guy. Like it's like again realizing

280
00:14:56,920 --> 00:14:59,320
Speaker 1: an elderly relative is like declining, and they're kind of

281
00:14:59,320 --> 00:15:00,840
Speaker 1: like I don't know if I the like be there

282
00:15:00,880 --> 00:15:03,400
Speaker 1: for that, Like even though I I love. I love

283
00:15:03,400 --> 00:15:05,880
Speaker 1: what this stands for, but it's also like freaking me out,

284
00:15:05,880 --> 00:15:07,840
Speaker 1: as like coming from a culture where we want to

285
00:15:07,880 --> 00:15:10,680
Speaker 1: deny that death is a thing that comes for us.

286
00:15:10,960 --> 00:15:13,480
Speaker 2: Yeah, yeah, And I think it has something to do

287
00:15:13,520 --> 00:15:17,480
Speaker 2: with like fascism too. Becomes a lot more popular when

288
00:15:17,520 --> 00:15:21,760
Speaker 2: like people can't deal with their own fallibility and weakness

289
00:15:21,920 --> 00:15:26,200
Speaker 2: like that. And obviously, you know, as religion to clients

290
00:15:26,200 --> 00:15:29,640
Speaker 2: we've talked about before, you sometimes see and uptick in

291
00:15:30,080 --> 00:15:33,800
Speaker 2: these other ways of dealing with the fact that we

292
00:15:33,880 --> 00:15:35,560
Speaker 2: all got that coming to us.

293
00:15:35,840 --> 00:15:37,560
Speaker 1: Yeah, TikTok TikTok man.

294
00:15:37,840 --> 00:15:41,040
Speaker 2: But again, with so many days between now and then,

295
00:15:41,280 --> 00:15:44,520
Speaker 2: and just think about the show twenty four. Look what

296
00:15:44,640 --> 00:15:46,640
Speaker 2: Jack Bauer packed into a single day.

297
00:15:46,600 --> 00:15:49,280
Speaker 1: Yeah, exactly. And he was on heroin and he was

298
00:15:49,280 --> 00:15:52,360
Speaker 1: on heroin. Wasn't he high on heroin when that.

299
00:15:52,360 --> 00:15:54,880
Speaker 2: Was something that the terrorists did to him? And that

300
00:15:54,880 --> 00:15:58,000
Speaker 2: that is something to keep in mind. The terrorists will

301
00:15:58,040 --> 00:16:05,200
Speaker 2: hook you on heroin. Yes, uh yeah. I was reading

302
00:16:05,360 --> 00:16:09,960
Speaker 2: this book Stiff that's by a mortician, and she was

303
00:16:10,000 --> 00:16:12,600
Speaker 2: talking about how it's interesting that we need to name

304
00:16:13,360 --> 00:16:18,680
Speaker 2: mammal meat like different words like steak and pork, like chicken,

305
00:16:18,720 --> 00:16:22,000
Speaker 2: we can admit because like we're we feel like different enough,

306
00:16:22,000 --> 00:16:25,560
Speaker 2: but like mammal meat, we're like, no, that's that's nothing

307
00:16:25,600 --> 00:16:29,200
Speaker 2: to be worried about. That's a steak, and that's a pork's.

308
00:16:28,600 --> 00:16:31,520
Speaker 1: And that's a pork, not a big that's col.

309
00:16:31,440 --> 00:16:37,080
Speaker 2: Yeah, cal burger. All right. My overrated is there's this

310
00:16:37,160 --> 00:16:41,000
Speaker 2: thing that people say where they're like, you know, New

311
00:16:41,080 --> 00:16:45,480
Speaker 2: Year's is for amateurs. New Year's the amateur hour because

312
00:16:45,640 --> 00:16:48,400
Speaker 2: people are like going out on New Year's the way

313
00:16:48,480 --> 00:16:51,880
Speaker 2: that they do. I feel like it's coming in like

314
00:16:52,000 --> 00:16:54,880
Speaker 2: the functional alcoholic world.

315
00:16:55,600 --> 00:16:58,680
Speaker 1: I can't handle a fucking six hour binge drinking.

316
00:16:58,760 --> 00:17:03,200
Speaker 2: So yeah, like I have a drinking problem year round,

317
00:17:03,520 --> 00:17:07,600
Speaker 2: so I'm somehow superior in this lodge. I'm bringing this

318
00:17:07,760 --> 00:17:10,440
Speaker 2: up now this week because someone on the podcast search

319
00:17:10,480 --> 00:17:14,760
Speaker 2: Engine was making the comparison to like anxiety and election

320
00:17:14,920 --> 00:17:17,800
Speaker 2: season that like, this is the rest of the world's

321
00:17:18,160 --> 00:17:22,840
Speaker 2: chance to experience. Well, those of us with anxiety already

322
00:17:22,880 --> 00:17:26,280
Speaker 2: spend our day to day lives like in that space

323
00:17:26,320 --> 00:17:30,639
Speaker 2: of just being terrified about things that we can't control.

324
00:17:31,280 --> 00:17:33,040
Speaker 2: It's like kind of our thing. So I don't know.

325
00:17:33,119 --> 00:17:36,920
Speaker 2: In both cases, I would say, like instead of being

326
00:17:36,960 --> 00:17:40,879
Speaker 2: like that's for amateurs, and fuck, fuck the amateurs. This

327
00:17:40,920 --> 00:17:43,919
Speaker 2: could be like our time to shine, you know. Yeah,

328
00:17:44,240 --> 00:17:51,800
Speaker 2: welcome to anxiety. It's very uncomfortable, you know, dealing with it.

329
00:17:52,119 --> 00:17:55,320
Speaker 1: You can too or not, yeah, or you can combine

330
00:17:55,359 --> 00:17:57,520
Speaker 1: both and drink your way out of it. I don't know, man,

331
00:17:57,760 --> 00:17:59,960
Speaker 1: just drink Like is December thirty, first of nineteen.

332
00:18:00,520 --> 00:18:02,200
Speaker 2: I feel like that's going to be happening as well,

333
00:18:03,520 --> 00:18:06,159
Speaker 2: But yeah, I don't know. Like I I find my

334
00:18:06,320 --> 00:18:11,280
Speaker 2: anxiety is helped when I like, actually don't try to

335
00:18:11,359 --> 00:18:14,879
Speaker 2: ignore it personally, but like think about it, talk about

336
00:18:14,880 --> 00:18:17,320
Speaker 2: it with other people who are you know, going to

337
00:18:17,359 --> 00:18:20,399
Speaker 2: actually listen to you, preferably like out loud, not on

338
00:18:20,440 --> 00:18:26,280
Speaker 2: the internet, and like be honest about how you're feeling.

339
00:18:26,520 --> 00:18:29,480
Speaker 2: That's one of the main things that helps me, is

340
00:18:29,520 --> 00:18:33,360
Speaker 2: like trying to come directly at it. And anytime I'm

341
00:18:33,400 --> 00:18:37,760
Speaker 2: trying not to look at my anxiety, it gets worse.

342
00:18:38,640 --> 00:18:41,720
Speaker 1: Half half of what the battle for my own whenever

343
00:18:41,760 --> 00:18:44,320
Speaker 1: I'm feeling anxious about something is the fact that I'm

344
00:18:44,560 --> 00:18:46,560
Speaker 1: actively being like I don't want to feel like this,

345
00:18:46,680 --> 00:18:51,120
Speaker 1: you should be feeling like this. That's exacerbating it versus

346
00:18:51,600 --> 00:18:56,880
Speaker 1: being like, okay, something, something's up. Yeah, let's let's let's

347
00:18:56,960 --> 00:18:58,240
Speaker 1: investigate this a little bit.

348
00:18:58,359 --> 00:19:01,760
Speaker 2: You're feeling exactly how you you are supposed to feel,

349
00:19:03,160 --> 00:19:04,600
Speaker 2: so let's let's deal with it.

350
00:19:05,480 --> 00:19:08,720
Speaker 1: Yeah, yeah, I don't know anyway. It's for amateurs though.

351
00:19:08,760 --> 00:19:12,320
Speaker 2: For amateurs, Oh, you have anxiety about.

352
00:19:13,720 --> 00:19:17,040
Speaker 1: Have anxiety? Yeah, it's that easy.

353
00:19:17,920 --> 00:19:19,240
Speaker 2: I've been here, ma'am.

354
00:19:19,359 --> 00:19:20,240
Speaker 1: Yeah, exactly.

355
00:19:20,320 --> 00:19:22,679
Speaker 2: I've been sitting in front of my computer sweating for

356
00:19:22,720 --> 00:19:24,200
Speaker 2: the post four years.

357
00:19:24,000 --> 00:19:26,400
Speaker 1: I was fucking born in the darkness, motherfucker.

358
00:19:26,720 --> 00:19:30,480
Speaker 2: That's right. Meditation is very uncomfortable. I find that it's

359
00:19:30,480 --> 00:19:35,520
Speaker 2: helpful to meditate, and then right after you like write

360
00:19:35,680 --> 00:19:38,239
Speaker 2: things down. After you meditate, you're not trying to like

361
00:19:38,359 --> 00:19:42,680
Speaker 2: block anything out though. Again, like you know, just observe

362
00:19:42,880 --> 00:19:45,240
Speaker 2: the feelings you're having and the fact that you're having them,

363
00:19:45,280 --> 00:19:48,000
Speaker 2: and then you can, like, you know, think about those.

364
00:19:47,920 --> 00:19:51,000
Speaker 1: Like that Australian high jumper in the Olympics right after

365
00:19:51,000 --> 00:19:54,280
Speaker 1: every attempt.

366
00:19:52,760 --> 00:19:56,719
Speaker 2: A little little anxiety journal exactly, little. Yeah, All right,

367
00:19:56,760 --> 00:19:59,480
Speaker 2: good luck out there, folks. Let's take a quick break

368
00:19:59,680 --> 00:20:02,640
Speaker 2: and we'll be back to talk about the ship that

369
00:20:02,920 --> 00:20:16,879
Speaker 2: is giving everybody anxiety. We'll be right back and we're back.

370
00:20:17,040 --> 00:20:19,320
Speaker 1: We're back, and we're back and we are back.

371
00:20:20,280 --> 00:20:24,560
Speaker 2: All right, big weekend at the polls, which we will

372
00:20:24,600 --> 00:20:29,199
Speaker 2: get to. Also a big weekend in popular culture. You know.

373
00:20:29,240 --> 00:20:33,320
Speaker 2: Trump has continued to kind of do what he's been doing,

374
00:20:33,520 --> 00:20:37,080
Speaker 2: a lot of rallies, a lot of bragging, a lot

375
00:20:37,080 --> 00:20:40,120
Speaker 2: of like violent rhetoric. We'll dig into that a little

376
00:20:40,160 --> 00:20:44,199
Speaker 2: bit more tomorrow. Kamala Harris made a surprise cameo on

377
00:20:44,240 --> 00:20:49,640
Speaker 2: Saturday Night Live this weekend, appearing as my Rudolph as Kamala.

378
00:20:50,880 --> 00:20:55,040
Speaker 2: So they cut my rootoff as Kamala, like is like,

379
00:20:55,080 --> 00:20:58,320
Speaker 2: all right, I'm gonna have a sit down with myself

380
00:20:58,359 --> 00:21:02,880
Speaker 2: before the speech turned the mirror and wouldn't you know it,

381
00:21:03,119 --> 00:21:06,239
Speaker 2: guess who? And I did take off my glasses and

382
00:21:06,400 --> 00:21:09,920
Speaker 2: wipe them off and then put them back on. It

383
00:21:10,080 --> 00:21:16,080
Speaker 2: was the Kamala Harris. Uh And but I mean Trump

384
00:21:16,160 --> 00:21:19,520
Speaker 2: Trump supporters made a good point like this is a

385
00:21:19,640 --> 00:21:24,520
Speaker 2: direct ripoff of the mirror sketch that Donald Trump did

386
00:21:24,520 --> 00:21:27,440
Speaker 2: with Jimmy Fallon in twenty fifteen, which is a mild

387
00:21:27,480 --> 00:21:30,760
Speaker 2: to think, Like I had forgotten that that happened, right,

388
00:21:31,359 --> 00:21:34,359
Speaker 2: But Trump wrote that sketch probably and came up with

389
00:21:34,400 --> 00:21:37,240
Speaker 2: the idea for it. So that's fucked up that they're

390
00:21:37,320 --> 00:21:38,520
Speaker 2: like biting his shit.

391
00:21:39,119 --> 00:21:42,760
Speaker 1: Dude. They're always biting his style, dude, they always been

392
00:21:42,800 --> 00:21:44,840
Speaker 1: biting Trump style. I mean yeah, I mean this is

393
00:21:44,840 --> 00:21:48,640
Speaker 1: also just like a time honored bit form that they

394
00:21:48,680 --> 00:21:51,159
Speaker 1: do on the show. Whenever they have a celebrity.

395
00:21:50,680 --> 00:21:53,320
Speaker 2: Literally, anytime they have a celebrity on that they've been

396
00:21:53,320 --> 00:21:57,320
Speaker 2: doing an impression of, they will do this bit. It's like, yeah,

397
00:21:57,359 --> 00:22:00,320
Speaker 2: one of the main genres of S and else.

398
00:22:00,400 --> 00:22:03,040
Speaker 1: Now they're stealing, they're fucking biting his style, and they're

399
00:22:03,160 --> 00:22:07,680
Speaker 1: they're infecting the voting populace by having this this amazing

400
00:22:07,720 --> 00:22:09,920
Speaker 1: appearance in a cold open.

401
00:22:10,119 --> 00:22:13,800
Speaker 2: Yeah, I don't know that. It was a solid sketch

402
00:22:14,119 --> 00:22:18,680
Speaker 2: that seemed to probably accomplish what Kamala Harris was hoping

403
00:22:18,840 --> 00:22:23,000
Speaker 2: that the Harris campaign was hoping for. And Trump is pissed,

404
00:22:23,520 --> 00:22:27,720
Speaker 2: not not just because they stole his idea for his

405
00:22:28,080 --> 00:22:33,560
Speaker 2: ketch with Jimmy Fallon, also because apparently he like that

406
00:22:33,720 --> 00:22:36,159
Speaker 2: there are laws that say that there need to be

407
00:22:36,240 --> 00:22:41,359
Speaker 2: equal time provisions, and so next week Donald Trump gets

408
00:22:41,400 --> 00:22:44,520
Speaker 2: to be the host of SNL. Is what the law says,

409
00:22:46,400 --> 00:22:52,159
Speaker 2: right on time Yeah, so it seems like there was

410
00:22:52,280 --> 00:22:57,480
Speaker 2: actually an agreement ahead of time with NBC and Trump

411
00:22:57,600 --> 00:23:02,480
Speaker 2: was given a long spot in a NASCAR race, like

412
00:23:02,760 --> 00:23:03,840
Speaker 2: ahead of time.

413
00:23:04,080 --> 00:23:07,320
Speaker 1: That's that's it, all done, all done. I know, although

414
00:23:07,320 --> 00:23:09,639
Speaker 1: everyone was like they're a fucking they're they're trying to

415
00:23:09,680 --> 00:23:13,600
Speaker 1: fucking you know, sandbag Trump or whatever. But clearly, as

416
00:23:13,640 --> 00:23:17,960
Speaker 1: a broadcaster like NBC, they know the law where they're like, yeah,

417
00:23:18,000 --> 00:23:19,520
Speaker 1: if one person has it, you got to offer to

418
00:23:19,560 --> 00:23:23,200
Speaker 1: the other. So that just means he got it during

419
00:23:23,240 --> 00:23:25,440
Speaker 1: the little the car race, Okay.

420
00:23:25,240 --> 00:23:28,399
Speaker 2: I mean Lorne Michaels pledged that note. So earlier in

421
00:23:28,440 --> 00:23:32,720
Speaker 2: the election season, Uh, Lorne Michaels had said no candidate

422
00:23:32,760 --> 00:23:36,399
Speaker 2: would appear in cameos because of equal time provisions. But

423
00:23:36,440 --> 00:23:38,360
Speaker 2: I feel like that was just him, first of all,

424
00:23:38,400 --> 00:23:44,520
Speaker 2: interesting to suddenly start start having morals about when candidates

425
00:23:44,560 --> 00:23:48,000
Speaker 2: appear on SNL Uh you know when he had Trump

426
00:23:48,040 --> 00:23:49,359
Speaker 2: host SN on twenty fifteen.

427
00:23:49,480 --> 00:23:52,080
Speaker 1: Yeah. Still he's still he's still reeling from that one,

428
00:23:52,080 --> 00:23:52,360
Speaker 1: I think.

429
00:23:52,440 --> 00:23:56,480
Speaker 2: Yeah, but that those rules only say if one candidate

430
00:23:56,480 --> 00:23:59,840
Speaker 2: appears on a public broadcast, I not cable the network

431
00:24:00,160 --> 00:24:02,960
Speaker 2: to offer the same amount of time to other candidates.

432
00:24:03,000 --> 00:24:09,359
Speaker 2: The network, so hence the NASCAR ad being basically finished

433
00:24:09,520 --> 00:24:11,920
Speaker 2: like that, you know exactly what the letter of the

434
00:24:11,960 --> 00:24:15,360
Speaker 2: law is. But there was this headline that was going

435
00:24:15,400 --> 00:24:18,800
Speaker 2: around an FCC commissioner, which I just assumed, because I

436
00:24:18,800 --> 00:24:22,159
Speaker 2: don't know the fucking hierarchy of the FCC, I assumed

437
00:24:22,200 --> 00:24:25,560
Speaker 2: that this was like the head of the FCC. It

438
00:24:25,680 --> 00:24:30,560
Speaker 2: is not, but he claimed. FCC commissioner claims Kamala Harris

439
00:24:30,720 --> 00:24:35,320
Speaker 2: SNL appearance violated equal time rule. The FCC commissioner in

440
00:24:35,400 --> 00:24:41,400
Speaker 2: this case is Brendan Carr, who isn't exactly an unbiased participant.

441
00:24:41,560 --> 00:24:46,080
Speaker 2: He's a Trump appointee who literally penned a chapter of

442
00:24:46,160 --> 00:24:50,760
Speaker 2: Project twenty twenty five which prompted House Democrats to call

443
00:24:50,800 --> 00:24:54,240
Speaker 2: for an ethics investigation into him. But he's widely perceived

444
00:24:54,280 --> 00:24:56,919
Speaker 2: to be a front runner for FCC chairman, which is

445
00:24:56,960 --> 00:24:59,280
Speaker 2: the actual head of the FCC if Trump wins. But

446
00:24:59,680 --> 00:25:04,360
Speaker 2: that is is not currently his position, and the actual

447
00:25:04,520 --> 00:25:09,000
Speaker 2: FCC weighed in and noted that a Car's comments do

448
00:25:09,080 --> 00:25:13,120
Speaker 2: not represent those of the agency, and b the FCC

449
00:25:13,200 --> 00:25:17,960
Speaker 2: has not made any determination regarding politically programming rules, nor

450
00:25:18,000 --> 00:25:22,240
Speaker 2: have we received a complaint from any interested parties because

451
00:25:22,280 --> 00:25:24,120
Speaker 2: again they had already agreed.

452
00:25:23,840 --> 00:25:25,600
Speaker 1: They've already worked it out. Yet they already worked it

453
00:25:25,640 --> 00:25:28,720
Speaker 1: out nice. Well, look they got to try something. Everything

454
00:25:28,760 --> 00:25:32,120
Speaker 1: has to be a scandal at this point. Again, they

455
00:25:32,160 --> 00:25:37,040
Speaker 1: have to feed the narrative whenever possible that they will

456
00:25:37,040 --> 00:25:39,119
Speaker 1: be right in their attempts to try and do some

457
00:25:39,240 --> 00:25:41,520
Speaker 1: kind of extra legal shit to try and return whatever

458
00:25:41,560 --> 00:25:42,320
Speaker 1: happens in the election.

459
00:25:42,960 --> 00:25:48,720
Speaker 2: So, in the world of actual polling and what people

460
00:25:48,760 --> 00:25:52,280
Speaker 2: think is actually going to happen tomorrow, there is a

461
00:25:52,320 --> 00:26:04,920
Speaker 2: big poll result over the weekend, the sellser poll or.

462
00:26:01,280 --> 00:26:05,440
Speaker 1: Sell jan sells her. I like, I like when people

463
00:26:05,520 --> 00:26:10,520
Speaker 1: like to put the initial first initial then so distinguished. Yeah, yeah, yeah,

464
00:26:10,600 --> 00:26:11,760
Speaker 1: all right Jan.

465
00:26:12,720 --> 00:26:15,960
Speaker 2: So Jayne is it just Joe Anne? But she just

466
00:26:16,000 --> 00:26:16,960
Speaker 2: like doesn't like that name.

467
00:26:17,520 --> 00:26:21,000
Speaker 1: Yeah, who knows. They're like, okay, it's fine. There were

468
00:26:21,000 --> 00:26:22,720
Speaker 1: a lot of Joe Ann's at my school. I went

469
00:26:22,760 --> 00:26:27,920
Speaker 1: with jan uh oh was absolutely a period, Yes exactly.

470
00:26:28,160 --> 00:26:31,199
Speaker 2: Yeah, she was the only person so she she just

471
00:26:31,240 --> 00:26:34,159
Speaker 2: does polls in Iowa first of all. So it's like

472
00:26:34,200 --> 00:26:38,360
Speaker 2: what I has the weekend started, you know, there were

473
00:26:38,400 --> 00:26:42,320
Speaker 2: some good early voting data for Democrats, and people were

474
00:26:42,359 --> 00:26:46,359
Speaker 2: like it looks like it could be leaning toward Harris,

475
00:26:46,400 --> 00:26:49,399
Speaker 2: like outperforming the polls by quite a bit if the

476
00:26:49,560 --> 00:26:52,800
Speaker 2: early voting data is to be believed. But a lot

477
00:26:52,840 --> 00:26:57,000
Speaker 2: of the like polling insider people who just like are

478
00:26:57,040 --> 00:27:01,040
Speaker 2: obsessively following every poll were like, let's see what the

479
00:27:01,080 --> 00:27:05,320
Speaker 2: sells are poll says, because even though it's just Iowa,

480
00:27:06,480 --> 00:27:11,040
Speaker 2: she is highly respected. And the reason she's highly respected

481
00:27:11,600 --> 00:27:16,520
Speaker 2: is that back in twenty twenty and twenty sixteen, at

482
00:27:16,520 --> 00:27:20,720
Speaker 2: this point, like heading into the election, there were no

483
00:27:20,920 --> 00:27:24,399
Speaker 2: polls that were showing Trump doing as well as he

484
00:27:24,520 --> 00:27:27,960
Speaker 2: did except for her, like she was the only one

485
00:27:28,000 --> 00:27:31,840
Speaker 2: because she doesn't We talked last week about this theory

486
00:27:32,080 --> 00:27:38,000
Speaker 2: from this guy at Germentum that basically all the mainstream

487
00:27:38,080 --> 00:27:42,080
Speaker 2: media polls are kind of herding together around like a

488
00:27:42,359 --> 00:27:45,520
Speaker 2: like split right down the middle because they're terrified of

489
00:27:46,119 --> 00:27:51,560
Speaker 2: overestimating Harris again, like overestimating the Democrats again. And so

490
00:27:51,600 --> 00:27:54,920
Speaker 2: his theory is that like she's actually in a better

491
00:27:54,920 --> 00:27:57,919
Speaker 2: position than the polls are indicating. And the thing that

492
00:27:57,960 --> 00:28:01,800
Speaker 2: I kept seeing was people be like, if Harris is

493
00:28:01,840 --> 00:28:08,080
Speaker 2: within like five points of Trump, will know that things

494
00:28:08,119 --> 00:28:11,440
Speaker 2: are like really in a good position for the Democrats.

495
00:28:11,600 --> 00:28:13,399
Speaker 1: Yeah, because it was like a it's a twelve point

496
00:28:13,480 --> 00:28:17,440
Speaker 1: swing basically, yes, yeah, from twenty twenty is what she

497
00:28:17,560 --> 00:28:18,200
Speaker 1: was showing, right.

498
00:28:18,359 --> 00:28:20,400
Speaker 2: Right, So that's the that's the thing, is like you're

499
00:28:20,400 --> 00:28:23,119
Speaker 2: looking at how things have changed from one election to

500
00:28:23,119 --> 00:28:26,760
Speaker 2: the next. And it came out and Harris was actually

501
00:28:26,840 --> 00:28:30,640
Speaker 2: leading Trump by three, which is among likely voters in Iowa,

502
00:28:30,760 --> 00:28:33,760
Speaker 2: which again seems it is a small sample size, but

503
00:28:33,960 --> 00:28:37,880
Speaker 2: this poll has been able to like predict trends.

504
00:28:38,320 --> 00:28:42,200
Speaker 1: She's been within like a point up to between one

505
00:28:42,240 --> 00:28:44,600
Speaker 1: and two and a half points of the actual results.

506
00:28:44,600 --> 00:28:47,239
Speaker 1: So like, yep. And this also, I think in the

507
00:28:47,280 --> 00:28:50,720
Speaker 1: past got her a lot of flak because in twenty twenty,

508
00:28:50,760 --> 00:28:54,440
Speaker 1: everyone was like, dude, Biden's fucking killing it everywhere and

509
00:28:54,480 --> 00:28:56,600
Speaker 1: the race was a lot closer than it was, and

510
00:28:57,040 --> 00:29:00,000
Speaker 1: her twenty twenty prediction was it was going to be

511
00:29:00,240 --> 00:29:04,280
Speaker 1: an R plus seven sort of result in Iowa, and

512
00:29:04,320 --> 00:29:06,880
Speaker 1: the outcome was actually plus eight. So she was spot

513
00:29:06,920 --> 00:29:09,360
Speaker 1: on people like, this is no, this is this is wrong,

514
00:29:09,400 --> 00:29:12,560
Speaker 1: this is wrong. Twenty sixteen R plus seven is what

515
00:29:12,600 --> 00:29:15,200
Speaker 1: she predicted, ended up being a plus nine, and that

516
00:29:15,320 --> 00:29:17,760
Speaker 1: sort of showed how Trump just tore through the Midwest

517
00:29:17,760 --> 00:29:19,760
Speaker 1: and twenty sixteen, and people were like, what the fuck?

518
00:29:21,000 --> 00:29:23,040
Speaker 1: So again, I think a lot of people are also

519
00:29:23,120 --> 00:29:27,480
Speaker 1: using this to like extrapolate these potential these results with

520
00:29:27,520 --> 00:29:30,120
Speaker 1: what could happen in other Midwestern states, because if she's

521
00:29:30,160 --> 00:29:32,160
Speaker 1: doing that well in Iowa, they say sort of like

522
00:29:32,160 --> 00:29:35,640
Speaker 1: the demographic makeup is very similar to places like Wisconsin

523
00:29:35,760 --> 00:29:41,600
Speaker 1: or Michigan, and maybe that means really potentially eight levels

524
00:29:41,680 --> 00:29:45,960
Speaker 1: of a blowout at best. But most people seem to

525
00:29:45,960 --> 00:29:47,640
Speaker 1: really just be taking this and be like, oh shit,

526
00:29:47,720 --> 00:29:50,400
Speaker 1: if this is this is the Selleser poll in Iowa

527
00:29:50,840 --> 00:29:54,440
Speaker 1: and we're actually having a Kamala lead, this this just

528
00:29:54,840 --> 00:29:58,120
Speaker 1: generally does not bode well for the Trump campaign. Yeah.

529
00:29:58,280 --> 00:30:01,280
Speaker 2: Granted, I just like the so I was on a

530
00:30:01,320 --> 00:30:06,040
Speaker 2: real Salzer high on when when it broke on Saturday night,

531
00:30:06,360 --> 00:30:11,040
Speaker 2: the come doown is like, Okay, yes, she's been right before.

532
00:30:11,520 --> 00:30:15,360
Speaker 2: It's still a very small sample size. And one of

533
00:30:15,400 --> 00:30:20,040
Speaker 2: the samples was the Carrie George W. Bush election and

534
00:30:20,640 --> 00:30:23,520
Speaker 2: Bush ended up like outperforming her poll by quite a bit.

535
00:30:23,760 --> 00:30:27,360
Speaker 2: And that does feel like that was an election that

536
00:30:27,760 --> 00:30:32,320
Speaker 2: felt really close heading in and ended up being really close.

537
00:30:32,360 --> 00:30:35,800
Speaker 2: So that like does and and you know, the bad guy,

538
00:30:35,880 --> 00:30:36,960
Speaker 2: the war criminal one.

539
00:30:37,200 --> 00:30:39,880
Speaker 1: Yeah, I mean, and since then though, she's been on

540
00:30:39,920 --> 00:30:41,680
Speaker 1: a run. I think a lot of people pointed out

541
00:30:41,680 --> 00:30:43,800
Speaker 1: because like a lot of Republicans are like, oh, let's

542
00:30:43,800 --> 00:30:45,280
Speaker 1: look at her. What she thought was gonna happen in

543
00:30:45,280 --> 00:30:48,040
Speaker 1: two thousand and four, and it feels like very specific,

544
00:30:48,080 --> 00:30:52,360
Speaker 1: like completely ignoring the last twelve ten to twelve years

545
00:30:52,880 --> 00:30:57,760
Speaker 1: of predictions and forecasting. But again, I think I think generally,

546
00:30:57,800 --> 00:31:00,480
Speaker 1: I think most people feel that just looking at crowd

547
00:31:00,600 --> 00:31:03,120
Speaker 1: sizes and just like the wacky shit that's coming out,

548
00:31:03,160 --> 00:31:05,800
Speaker 1: it's like, this doesn't feel like a winner. Like in

549
00:31:05,880 --> 00:31:09,280
Speaker 1: twenty sixteen, you could kind of be like, I can

550
00:31:09,360 --> 00:31:11,520
Speaker 1: kind of see how he's kind of convincing people here.

551
00:31:11,920 --> 00:31:14,080
Speaker 1: This has felt like a side show. So I think

552
00:31:14,360 --> 00:31:17,400
Speaker 1: combining those sort of things can make it feel a

553
00:31:17,440 --> 00:31:21,760
Speaker 1: little bit more possible realistic that Trump could lose, for sure, But.

554
00:31:21,720 --> 00:31:24,200
Speaker 2: I think it's also understandable that everyone's like, I don't

555
00:31:24,240 --> 00:31:28,440
Speaker 2: want to feel good until we have, because.

556
00:31:28,640 --> 00:31:31,040
Speaker 1: That's the most painful shit is to be like ha ha.

557
00:31:31,800 --> 00:31:34,320
Speaker 1: Trump took an l and then he's like, oh did

558
00:31:34,360 --> 00:31:39,360
Speaker 1: I And now we're dealing with all kinds of untold horrors.

559
00:31:39,400 --> 00:31:41,520
Speaker 1: But look, I think this is great news for everyone

560
00:31:41,560 --> 00:31:45,800
Speaker 1: who's just dying to go back to brunch. Thank you, dude,

561
00:31:45,880 --> 00:31:49,480
Speaker 1: get your brunch. Rezis fucking locked and loaded, baby.

562
00:31:49,480 --> 00:31:53,240
Speaker 2: I was on Saturday night when the pulling results came out.

563
00:31:53,360 --> 00:31:57,520
Speaker 2: I was just doing the opposite of doom scrolling. I

564
00:31:57,640 --> 00:32:02,640
Speaker 2: was dopamine scrolling. Ohit. And then I was also on

565
00:32:02,640 --> 00:32:06,680
Speaker 2: on Rezi making those brunch reservations bro for this weekend.

566
00:32:07,120 --> 00:32:11,560
Speaker 1: I'm gonna be shown a Sunday morning at noon maybe.

567
00:32:11,920 --> 00:32:13,520
Speaker 1: But yeah, I mean, this is this has fucked up

568
00:32:13,520 --> 00:32:15,520
Speaker 1: a lot of things like now, I mean because this

569
00:32:15,560 --> 00:32:16,880
Speaker 1: is again I think the other thing that a lot

570
00:32:16,920 --> 00:32:20,280
Speaker 1: of posters have pointed out just generally too, is there's

571
00:32:20,320 --> 00:32:23,720
Speaker 1: been a ton of these like partisan Republican polls that

572
00:32:23,760 --> 00:32:26,560
Speaker 1: have come out that are showing Trump leads that again

573
00:32:27,040 --> 00:32:29,600
Speaker 1: our way that are used to like you know, mess

574
00:32:29,640 --> 00:32:32,360
Speaker 1: with the weighted averages to try and again make the

575
00:32:32,480 --> 00:32:36,120
Speaker 1: race seem close. Because this also, this is I think

576
00:32:36,160 --> 00:32:37,880
Speaker 1: we talked about this last week, is like the double

577
00:32:38,000 --> 00:32:41,040
Speaker 1: edged sword of all the like, well we think it's

578
00:32:41,080 --> 00:32:44,680
Speaker 1: going to be a tight race, help like absolutely feeds

579
00:32:44,720 --> 00:32:47,560
Speaker 1: into the MAGA narrative that if it's this close and

580
00:32:47,720 --> 00:32:49,760
Speaker 1: it's a blowout. Something's up.

581
00:32:49,920 --> 00:32:52,760
Speaker 2: Yeah, if it's close in the polls, or he's up

582
00:32:52,800 --> 00:32:55,840
Speaker 2: in the polls, and then yeah, I mean he's already

583
00:32:56,120 --> 00:32:58,440
Speaker 2: like that. They're already there was an article in the

584
00:32:58,440 --> 00:33:01,480
Speaker 2: Guardian we'll link off too, but they are already being like,

585
00:33:01,520 --> 00:33:03,680
Speaker 2: I'm winning in all the polls. It's over. It's going

586
00:33:03,720 --> 00:33:05,480
Speaker 2: to be a blowout. They're all going to find out.

587
00:33:05,840 --> 00:33:10,680
Speaker 2: So that. I mean, I'm sure partially he's a megalomaniac

588
00:33:10,680 --> 00:33:13,520
Speaker 2: who believes that and nobody's willing to tell him that

589
00:33:13,520 --> 00:33:16,720
Speaker 2: that's the truth. But the tension is being focused on

590
00:33:16,960 --> 00:33:20,120
Speaker 2: like the right wing polling, like small right wing poles

591
00:33:20,160 --> 00:33:22,880
Speaker 2: that are like affecting the way to average. But it's

592
00:33:22,920 --> 00:33:26,440
Speaker 2: also like the big mainstream media polls are also showing

593
00:33:26,480 --> 00:33:28,480
Speaker 2: it as like a dead heat or you.

594
00:33:28,440 --> 00:33:31,840
Speaker 1: Know, yeah, well that's because they're cowards.

595
00:33:31,520 --> 00:33:33,720
Speaker 2: Right, they don't want to be wrong. I mean, I

596
00:33:33,760 --> 00:33:37,400
Speaker 2: don't know. The other like Times Sienna so Selzer and

597
00:33:37,560 --> 00:33:40,920
Speaker 2: Times Siann are the two that like have not traditionally

598
00:33:41,160 --> 00:33:44,560
Speaker 2: done the hurting thing, and Times Sienna is like much closer.

599
00:33:45,200 --> 00:33:51,480
Speaker 2: They have Harris like down in Michigan, and like tide

600
00:33:51,520 --> 00:33:55,200
Speaker 2: in Pennsylvania, so still seems like it's potentially going to

601
00:33:55,240 --> 00:33:57,560
Speaker 2: be incredibly close.

602
00:33:57,840 --> 00:34:01,640
Speaker 1: But this was Yeah, I mean it feels like anything.

603
00:34:01,720 --> 00:34:03,840
Speaker 1: It's not what it isn't going to be as a

604
00:34:03,880 --> 00:34:06,760
Speaker 1: blowout in Trump's direction. It's either going to be a

605
00:34:06,800 --> 00:34:10,040
Speaker 1: blowout in the Democrats direction or a very tight race.

606
00:34:10,239 --> 00:34:13,040
Speaker 1: It's it's not going to be the thing like Trump, Like,

607
00:34:13,200 --> 00:34:15,440
Speaker 1: is there some wacky ones with Trump's up three in

608
00:34:15,520 --> 00:34:18,719
Speaker 1: fucking Wisconsin? You're like, no, yeah? What?

609
00:34:19,400 --> 00:34:22,040
Speaker 2: He In addition to like citing the polls that have

610
00:34:22,160 --> 00:34:25,680
Speaker 2: him up, he said that this poll should be illegal

611
00:34:26,239 --> 00:34:31,360
Speaker 2: and called it fake, which it's just it's so long

612
00:34:31,520 --> 00:34:35,560
Speaker 2: to still be on the descriptor fake is kind of wild.

613
00:34:36,400 --> 00:34:42,360
Speaker 1: Yeah, I think that's a good sign system should be illegal, like.

614
00:34:44,680 --> 00:34:49,120
Speaker 2: Illegal, and yeah, I don't know. It's like the other

615
00:34:49,200 --> 00:34:51,520
Speaker 2: thing that some people are paying attention to that I

616
00:34:51,560 --> 00:34:55,440
Speaker 2: don't think is even worth coverage, but it is getting

617
00:34:55,480 --> 00:35:00,960
Speaker 2: coverage is the betting markets, which are you know, yeah, yeah,

618
00:35:01,080 --> 00:35:06,400
Speaker 2: have traditionally been decent barometers, but now they're being a

619
00:35:06,520 --> 00:35:09,600
Speaker 2: fact because people are you know, the scientific principle of

620
00:35:09,600 --> 00:35:12,160
Speaker 2: like when you start paying a lot of attention to something,

621
00:35:12,160 --> 00:35:15,839
Speaker 2: it affects how that thing behaves and performs. Like now

622
00:35:15,880 --> 00:35:19,799
Speaker 2: that there's a big story that Elon Musk and Nate

623
00:35:19,840 --> 00:35:22,560
Speaker 2: Silver are talking about that where it's like the betting

624
00:35:22,560 --> 00:35:28,400
Speaker 2: markets really are good at predicting this stuff. Now everybody's

625
00:35:28,400 --> 00:35:31,439
Speaker 2: paying attention to those, and the people who follow Nate

626
00:35:31,480 --> 00:35:33,840
Speaker 2: Silver and Elon Musk are putting bets in.

627
00:35:35,400 --> 00:35:38,120
Speaker 1: There was also good good, but yeah, yeah, go ahead,

628
00:35:38,200 --> 00:35:39,200
Speaker 1: lose your fucking money.

629
00:35:39,320 --> 00:35:42,640
Speaker 2: And those markets suddenly after the cells are poll and

630
00:35:42,719 --> 00:35:45,960
Speaker 2: like the Medson Square Garden rally, were starting to shift

631
00:35:46,040 --> 00:35:49,120
Speaker 2: back toward Harris a little bit more after they were

632
00:35:49,160 --> 00:35:53,640
Speaker 2: like showing a guaranteed blowout. The other big betting market

633
00:35:53,840 --> 00:35:58,520
Speaker 2: revelation was there was this mysterious figure who invested like

634
00:35:58,600 --> 00:36:01,880
Speaker 2: twenty million dollars, like place twenty million dollar bet on Trump,

635
00:36:02,880 --> 00:36:06,360
Speaker 2: and the New York Times finally like you know, revealed

636
00:36:06,400 --> 00:36:09,279
Speaker 2: who it was and like interviewed them and it's just

637
00:36:09,320 --> 00:36:11,560
Speaker 2: like some rich guy in France.

638
00:36:11,880 --> 00:36:14,279
Speaker 1: Yeah, and he was thirty million down.

639
00:36:14,320 --> 00:36:16,040
Speaker 2: I think, yeah, I think yeah, So that's like.

640
00:36:16,080 --> 00:36:19,200
Speaker 1: Completely shifted the markets because he dumped in like millions

641
00:36:19,239 --> 00:36:20,280
Speaker 1: of dollars.

642
00:36:19,920 --> 00:36:23,080
Speaker 2: And in the interview, his read on the election is

643
00:36:23,160 --> 00:36:25,480
Speaker 2: just like yeah, he's like, yeah, I don't know. Trump

644
00:36:25,480 --> 00:36:27,839
Speaker 2: got underestimated the last two times, so.

645
00:36:28,400 --> 00:36:31,480
Speaker 1: I say, yes, sports fan.

646
00:36:31,719 --> 00:36:35,279
Speaker 2: Right, it's like just the most basic kind of take,

647
00:36:35,520 --> 00:36:38,799
Speaker 2: and maybe the basic take is is right and he

648
00:36:38,880 --> 00:36:42,400
Speaker 2: will be underestimated again, but he knows. I mean, I

649
00:36:42,440 --> 00:36:44,720
Speaker 2: think people were like, oh, somebody betting that much money

650
00:36:44,840 --> 00:36:49,840
Speaker 2: must have some access to some like mysterious inside information,

651
00:36:50,080 --> 00:36:52,520
Speaker 2: and it just turned out it was just some rich guy.

652
00:36:52,560 --> 00:36:55,520
Speaker 1: You can just be a degenerate gambler with millions of dollars. Yeah,

653
00:36:55,520 --> 00:36:57,600
Speaker 1: it could also be true. The other thing that's really

654
00:36:57,600 --> 00:36:59,680
Speaker 1: interesting I saw it just with us in terms of

655
00:36:59,719 --> 00:37:02,680
Speaker 1: a vote around polling. Carrie Lake, who obviously has had

656
00:37:02,760 --> 00:37:06,239
Speaker 1: some terrible luck running for governors in Arizona and is

657
00:37:06,280 --> 00:37:10,160
Speaker 1: now running in the Senate against Reuben Diego, like she's

658
00:37:10,239 --> 00:37:12,279
Speaker 1: down in all like most of the polls, or like

659
00:37:12,320 --> 00:37:15,080
Speaker 1: maybe within a point or two, but she recently just

660
00:37:15,120 --> 00:37:17,919
Speaker 1: loved this ques see quote. My internal polling looks good.

661
00:37:18,239 --> 00:37:20,880
Speaker 1: We're ahead of my opponent, and I feel comfortable with

662
00:37:20,880 --> 00:37:24,160
Speaker 1: our polling. Our polling is a little different. We take polling,

663
00:37:24,360 --> 00:37:27,520
Speaker 1: but we also combine it with AI, which reads all

664
00:37:27,600 --> 00:37:30,680
Speaker 1: of what's happening on social media and across the internet.

665
00:37:31,480 --> 00:37:35,560
Speaker 1: Based on that, she's got some really interesting numbers. She's like,

666
00:37:35,600 --> 00:37:38,200
Speaker 1: I'm actually up when when you count in all the

667
00:37:38,280 --> 00:37:42,080
Speaker 1: twitter bot responses that are talking positively, I'm actually winning.

668
00:37:42,160 --> 00:37:46,279
Speaker 1: So therefore I might have to take another electoral l

669
00:37:46,360 --> 00:37:47,080
Speaker 1: But anyway.

670
00:37:46,920 --> 00:37:50,120
Speaker 2: Talk to my AI assistant and yeah, they told me

671
00:37:50,200 --> 00:37:53,279
Speaker 2: exactly what I wanted to hear, which, by the way,

672
00:37:53,600 --> 00:37:58,959
Speaker 2: is frequently the job, the express job of a large

673
00:37:59,040 --> 00:38:01,920
Speaker 2: language model is to tell you what it thinks you

674
00:38:01,960 --> 00:38:02,319
Speaker 2: want to hear.

675
00:38:02,440 --> 00:38:03,480
Speaker 1: I want to endear myself.

676
00:38:04,040 --> 00:38:07,120
Speaker 2: All right, let's take a quick break and we'll come back.

677
00:38:07,160 --> 00:38:10,560
Speaker 2: We'll talk a little bit more polls, and we'll talk

678
00:38:10,600 --> 00:38:13,080
Speaker 2: about a sad farewell to one of the greats. We'll

679
00:38:13,120 --> 00:38:26,479
Speaker 2: be right back. And we're back, and Brian the editor,

680
00:38:26,560 --> 00:38:30,440
Speaker 2: brought up a good question during our break. What are

681
00:38:30,480 --> 00:38:36,600
Speaker 2: the polls for miles? Why they're They're like just there

682
00:38:36,640 --> 00:38:39,760
Speaker 2: to tell us what somebody thinks is going to happen

683
00:38:39,840 --> 00:38:43,600
Speaker 2: in two days. That's going to happen either way.

684
00:38:44,000 --> 00:38:46,200
Speaker 1: And they get the satisfaction of saying and I knew it,

685
00:38:46,400 --> 00:38:48,720
Speaker 1: and I knew it, I pretended the future in your face.

686
00:38:48,960 --> 00:38:53,080
Speaker 2: They're there to create celebrities like Nate Silver that who yeah,

687
00:38:53,200 --> 00:38:54,680
Speaker 2: and look at all the good he's done.

688
00:38:54,960 --> 00:38:57,200
Speaker 1: I mean he did change polling for sure. But yeah,

689
00:38:57,360 --> 00:39:00,759
Speaker 1: like now he's kind of he's a Twilight a bit.

690
00:39:00,800 --> 00:39:04,560
Speaker 1: But yeah, anyway, Yeah, it's it's a it's a gigantic industry,

691
00:39:04,600 --> 00:39:06,840
Speaker 1: and these are the kinds of things when you know,

692
00:39:06,880 --> 00:39:09,319
Speaker 1: when you're considered the gold standard, it means more people

693
00:39:09,360 --> 00:39:12,080
Speaker 1: will pay you more money for your your you know,

694
00:39:12,200 --> 00:39:16,640
Speaker 1: your forecasting. Although cells are operates in Iowa, but you know,

695
00:39:16,760 --> 00:39:19,200
Speaker 1: it's just it's the horse race. It's pretty much that

696
00:39:19,960 --> 00:39:20,520
Speaker 1: it's bad.

697
00:39:20,840 --> 00:39:25,720
Speaker 2: It does. It has become something I've been become obsessed

698
00:39:25,760 --> 00:39:29,239
Speaker 2: with because of the fact that we have this like

699
00:39:30,160 --> 00:39:35,120
Speaker 2: fucking winner take all system. We have like these two

700
00:39:35,800 --> 00:39:40,040
Speaker 2: possible futures ahead of us that feel like they could

701
00:39:40,080 --> 00:39:45,200
Speaker 2: be starkly different from one another and really similar.

702
00:39:45,600 --> 00:39:48,080
Speaker 1: Yeah you cut it, Yeah.

703
00:39:47,600 --> 00:39:51,200
Speaker 2: Yeah, I would be Yeah, I think early similar. If

704
00:39:51,200 --> 00:39:53,520
Speaker 2: Trump still had the same type of people around him

705
00:39:53,520 --> 00:39:56,560
Speaker 2: that he did in his first term, I think with

706
00:39:56,680 --> 00:39:59,319
Speaker 2: product twenty twenty five, they would be end up being

707
00:39:59,719 --> 00:40:04,360
Speaker 2: pret different. And so yeah, it's just human weakness. I

708
00:40:04,400 --> 00:40:07,160
Speaker 2: would say it's the reason for the polls. But I

709
00:40:07,200 --> 00:40:10,480
Speaker 2: do think a lot of people are struggling with the

710
00:40:10,800 --> 00:40:13,920
Speaker 2: what is going to happen of it all? I certainly

711
00:40:13,960 --> 00:40:18,440
Speaker 2: am somebody who's struggling with the what's going to happen?

712
00:40:18,840 --> 00:40:21,879
Speaker 2: Were they all lying to me? Of it all? Is one?

713
00:40:22,000 --> 00:40:25,680
Speaker 2: Donald J. Trump. So he got mad at Julia Roberts

714
00:40:25,719 --> 00:40:30,560
Speaker 2: for suggesting that Maga dude's wives can vote for who

715
00:40:30,960 --> 00:40:33,680
Speaker 2: they want to vote for and not just like for

716
00:40:33,920 --> 00:40:35,840
Speaker 2: who their husband wants them.

717
00:40:35,719 --> 00:40:37,800
Speaker 1: To vote for. What happened to the good old days?

718
00:40:38,000 --> 00:40:41,920
Speaker 2: Yeah, exactly, But it's just an ad that she voiced.

719
00:40:42,640 --> 00:40:45,520
Speaker 2: But I like it because it also I don't know,

720
00:40:45,680 --> 00:40:47,960
Speaker 2: I feel like they should have been using this strategy

721
00:40:48,320 --> 00:40:51,640
Speaker 2: earlier to attack him from the direction of all the

722
00:40:51,640 --> 00:40:54,759
Speaker 2: people he cares most about, which is like people who

723
00:40:54,800 --> 00:40:57,760
Speaker 2: were relevant in the late eighties and early nineties.

724
00:40:58,160 --> 00:41:01,440
Speaker 1: Yeah, he's definitely it's this is him calling in the

725
00:41:01,560 --> 00:41:06,160
Speaker 1: Fox and Friends about this, and yeah, he's really disappointed

726
00:41:06,200 --> 00:41:08,520
Speaker 1: about it, like in this really sincere way.

727
00:41:08,640 --> 00:41:11,239
Speaker 5: I'm so disappointed as Juli you Roberts, because I look

728
00:41:11,600 --> 00:41:13,640
Speaker 5: and she's going to look back on that and she's

729
00:41:13,640 --> 00:41:16,640
Speaker 5: going to cringe that did I really say that? It

730
00:41:16,719 --> 00:41:19,040
Speaker 5: doesn't say much for her relationship. But I'm sure she

731
00:41:19,080 --> 00:41:22,719
Speaker 5: has a great relationship. But the wis and husbands that

732
00:41:22,880 --> 00:41:24,680
Speaker 5: I don't think that's the way they deal. I mean,

733
00:41:24,719 --> 00:41:26,799
Speaker 5: can you imagine a wife's not telling a husband who

734
00:41:26,840 --> 00:41:29,200
Speaker 5: she's voting for. Do you hear anything like that? Even

735
00:41:29,200 --> 00:41:32,239
Speaker 5: if you have a horrible if you had a bad relationship,

736
00:41:32,600 --> 00:41:35,120
Speaker 5: you're going to tell your husband. It's a ridiculous.

737
00:41:34,960 --> 00:41:45,200
Speaker 6: It's so stupid like marriage, and then your wife's like

738
00:41:45,239 --> 00:41:48,200
Speaker 6: being all secret behind your back that that wouldn't happen.

739
00:41:48,400 --> 00:41:50,239
Speaker 1: They tell you the truth, even if it's really bad.

740
00:41:50,360 --> 00:41:54,360
Speaker 1: Which is a really interesting point. But I do like

741
00:41:54,480 --> 00:41:57,919
Speaker 1: the idea of if any like Richard gear To also

742
00:41:58,080 --> 00:42:00,359
Speaker 1: do like an ad like that, and you.

743
00:42:01,640 --> 00:42:03,600
Speaker 2: Like, has Mike Tyson come out. I feel like he

744
00:42:03,640 --> 00:42:06,640
Speaker 2: would be really devastated if Mike Tyson came out and

745
00:42:06,680 --> 00:42:08,960
Speaker 2: like talked shit about him, because he's a big boxing

746
00:42:09,040 --> 00:42:11,520
Speaker 2: guy and you know he's.

747
00:42:11,360 --> 00:42:14,640
Speaker 1: Like Michael Douglas, always a hack. That guy, never liked him,

748
00:42:15,680 --> 00:42:17,399
Speaker 1: really disappointed him.

749
00:42:17,640 --> 00:42:19,480
Speaker 2: It was yeah when he called it starts that off,

750
00:42:19,520 --> 00:42:23,080
Speaker 2: He's like, because I really love she's gonna be cringey,

751
00:42:23,200 --> 00:42:27,080
Speaker 2: like he almost he like stops himself from admitting his

752
00:42:27,200 --> 00:42:28,800
Speaker 2: feelings for Julia Roberts.

753
00:42:29,000 --> 00:42:33,560
Speaker 1: Yeah, anyway, what are you gonna do? I just like

754
00:42:33,640 --> 00:42:35,040
Speaker 1: though too. I don't know if you saw the pictures

755
00:42:35,040 --> 00:42:38,960
Speaker 1: of Trump and Eric Trump doing early voting at the polls,

756
00:42:39,320 --> 00:42:43,600
Speaker 1: and the cameras caught them both peering over the little

757
00:42:43,600 --> 00:42:46,799
Speaker 1: barrier to look at what their why their wives, how

758
00:42:46,840 --> 00:42:50,879
Speaker 1: they were voting, like in the most suspicious way.

759
00:42:51,040 --> 00:42:53,680
Speaker 2: Wife is the fucking head of the RNC.

760
00:42:54,160 --> 00:42:58,000
Speaker 1: This school is literally bent. Eric Trump is like leaning

761
00:42:58,080 --> 00:43:01,440
Speaker 1: like it's the fucking smooth criminal video trying to like

762
00:43:01,520 --> 00:43:04,560
Speaker 1: look over the fucking divide or to see I think

763
00:43:04,600 --> 00:43:08,320
Speaker 1: these pictures really encapsulate potentially what the entire like election

764
00:43:08,400 --> 00:43:10,640
Speaker 1: could be. It's about these like these dudes who are

765
00:43:10,680 --> 00:43:12,960
Speaker 1: just like what and what are you doing? Better? Be

766
00:43:12,960 --> 00:43:14,880
Speaker 1: better to be doing the right making the right choice.

767
00:43:14,960 --> 00:43:17,919
Speaker 1: And over here, got to sit right next to me. Yep,

768
00:43:17,960 --> 00:43:21,040
Speaker 1: right here. Yep. That that that's not how you spell

769
00:43:21,120 --> 00:43:24,799
Speaker 1: Donald Trump. Move up, Yep, there you go, not that one,

770
00:43:25,200 --> 00:43:25,680
Speaker 1: not that one.

771
00:43:25,680 --> 00:43:28,439
Speaker 2: He's also like someone who would make it his goal

772
00:43:28,520 --> 00:43:30,879
Speaker 2: to sleep with as many of his friends wives as

773
00:43:30,880 --> 00:43:34,680
Speaker 2: he possibly could, Like he would like record phone conversations

774
00:43:35,000 --> 00:43:38,040
Speaker 2: with his friends and then play back like suspect ship

775
00:43:38,160 --> 00:43:41,600
Speaker 2: that they said to the wives to try and like

776
00:43:42,120 --> 00:43:44,719
Speaker 2: get them mad enough at their husband to like fuck him.

777
00:43:44,719 --> 00:43:49,560
Speaker 7: I guess wow, wow four d chess right, But like

778
00:43:49,640 --> 00:43:53,920
Speaker 7: he seems to understand that women don't tell their husband's everything,

779
00:43:54,280 --> 00:43:56,399
Speaker 7: but maybe he assumes it's different with him.

780
00:43:56,480 --> 00:43:58,640
Speaker 2: But like you could just hear it in his voice

781
00:43:58,680 --> 00:44:00,360
Speaker 2: and nervous laughter there.

782
00:44:00,680 --> 00:44:04,239
Speaker 1: He knows he's never been in a healthy marriage or

783
00:44:04,320 --> 00:44:06,879
Speaker 1: relationship that's like equitable in any way.

784
00:44:07,200 --> 00:44:12,080
Speaker 2: He hes not telling me everything, Like you control.

785
00:44:11,800 --> 00:44:14,399
Speaker 1: Everything that they do in their life, and then they

786
00:44:14,400 --> 00:44:16,360
Speaker 1: don't trust you. Is that?

787
00:44:16,440 --> 00:44:16,839
Speaker 6: I don't know?

788
00:44:16,880 --> 00:44:19,960
Speaker 1: Could you imagine? No way, even when it's really bad,

789
00:44:20,280 --> 00:44:20,960
Speaker 1: they would do that.

790
00:44:21,920 --> 00:44:23,960
Speaker 2: I think we mentioned it last week. But Jesse Waters

791
00:44:24,000 --> 00:44:27,800
Speaker 2: similarly like melted down over the possibility that married mega

792
00:44:27,800 --> 00:44:31,160
Speaker 2: women would vote for Harris, which.

793
00:44:31,080 --> 00:44:31,920
Speaker 1: Like having an affair.

794
00:44:32,600 --> 00:44:35,319
Speaker 2: Yeah, almost like having an affair, which, by the way,

795
00:44:35,480 --> 00:44:39,160
Speaker 2: really uh, he's only married to his wife because he

796
00:44:39,239 --> 00:44:41,600
Speaker 2: chooses on his ex wife of ten years with her,

797
00:44:41,800 --> 00:44:44,480
Speaker 2: but obviously that goes one way.

798
00:44:44,600 --> 00:44:48,200
Speaker 1: The wife doesn't do it to the husband. Okay, yeah, exactly,

799
00:44:48,360 --> 00:44:51,799
Speaker 1: that's weird. The guy should cheat on the girl, that's

800
00:44:52,080 --> 00:44:53,759
Speaker 1: I mean that's how That's what my dad taught me.

801
00:44:56,160 --> 00:44:58,280
Speaker 2: All right. And finally we want to say a fond

802
00:44:58,280 --> 00:45:03,000
Speaker 2: farewell to one of the greats ever do it Quincy Jones?

803
00:45:03,280 --> 00:45:08,800
Speaker 1: Yes, one of the true first like black entertainment moguls.

804
00:45:09,080 --> 00:45:13,160
Speaker 1: You know, like, this man has the egot, he's He's

805
00:45:13,320 --> 00:45:17,640
Speaker 1: dabbled in film, television, music, like fucking everything. You know.

806
00:45:17,800 --> 00:45:20,799
Speaker 1: Obviously the thriller is probably the thing most people will

807
00:45:20,800 --> 00:45:22,279
Speaker 1: talk about when they talk about him.

808
00:45:22,440 --> 00:45:25,640
Speaker 2: But yeah, it's just correct thriller season, you know.

809
00:45:25,719 --> 00:45:28,719
Speaker 1: Yeah, exactly exactly. I mean, we will always know him

810
00:45:28,760 --> 00:45:33,600
Speaker 1: for his wonderful interviews and the wild shit he would say.

811
00:45:34,320 --> 00:45:37,200
Speaker 2: Yeah, I know he was a producer of Fresh Prince.

812
00:45:37,280 --> 00:45:41,239
Speaker 2: I didn't realize like how much until I think it

813
00:45:41,360 --> 00:45:43,080
Speaker 2: was like one of those interviews where they told the

814
00:45:43,120 --> 00:45:47,080
Speaker 2: story about how like he had Will He invited Will

815
00:45:47,080 --> 00:45:50,759
Speaker 2: Smith to his birthday party, which sounds like there were

816
00:45:50,800 --> 00:45:53,719
Speaker 2: a lot of people there, and then like made him

817
00:45:53,760 --> 00:45:57,200
Speaker 2: audition for him and like the NBC executives, he'd never

818
00:45:57,280 --> 00:46:00,919
Speaker 2: like acted before. Yeah, and he was like, Hey, we're

819
00:46:00,960 --> 00:46:03,120
Speaker 2: gonna do an audition because like I just like know

820
00:46:03,280 --> 00:46:06,400
Speaker 2: that you're gonna be good at this. He just like

821
00:46:06,560 --> 00:46:11,080
Speaker 2: conjured Will Smith's career out of thin air, just like

822
00:46:11,160 --> 00:46:14,400
Speaker 2: based on a vibe that he had like a hunch.

823
00:46:14,360 --> 00:46:16,399
Speaker 1: He's got the gift. He's got the gift. And also

824
00:46:16,520 --> 00:46:20,680
Speaker 1: again for sneak sniffing out conspiracy theories and the like too.

825
00:46:21,400 --> 00:46:23,000
Speaker 1: Jones a very very gifted man.

826
00:46:23,400 --> 00:46:27,399
Speaker 2: Yeah, yeah, I got like the last thing. He got

827
00:46:27,480 --> 00:46:29,600
Speaker 2: a lot of attention for. And I think people are

828
00:46:29,600 --> 00:46:32,560
Speaker 2: treating this as like, you know, uh, you know, let's

829
00:46:32,560 --> 00:46:35,520
Speaker 2: not focus on his controversial interviews. But I feel like

830
00:46:35,520 --> 00:46:38,480
Speaker 2: his controversial interviews were fucking awesome, Like they were for

831
00:46:38,600 --> 00:46:40,880
Speaker 2: the best. They were so good.

832
00:46:41,320 --> 00:46:46,200
Speaker 1: Yeah, he says, I know too much. Man, What's something

833
00:46:46,239 --> 00:46:46,840
Speaker 1: you wish you didn't know?

834
00:46:46,880 --> 00:46:48,080
Speaker 2: What's something you wish you didn't know?

835
00:46:48,400 --> 00:46:49,400
Speaker 1: Who killed Kennedy?

836
00:46:49,800 --> 00:46:50,680
Speaker 2: Who did it?

837
00:46:50,800 --> 00:46:53,920
Speaker 1: Oh, John Conna? The connection was there between the Knocker

838
00:46:54,000 --> 00:46:56,560
Speaker 1: and the mafia and Kennedy. Joe Kennedy. He was a

839
00:46:56,640 --> 00:46:58,839
Speaker 1: bad man. He came to Frank to have him talk

840
00:46:58,880 --> 00:47:00,479
Speaker 1: to John Conna about gift and votes.

841
00:47:00,600 --> 00:47:03,560
Speaker 2: I've heard this theory before that the mob helped win

842
00:47:03,680 --> 00:47:05,720
Speaker 2: Illinois for Kennedy in nineteen sixty.

843
00:47:05,840 --> 00:47:07,600
Speaker 1: Hey man, you know we shouldn't talk about this publicly.

844
00:47:07,600 --> 00:47:09,480
Speaker 1: Where are you from? Where are you from?

845
00:47:10,640 --> 00:47:15,040
Speaker 2: So where you're from? By the way, In this article

846
00:47:15,400 --> 00:47:18,320
Speaker 2: they were talking about how Will Smith was talking about

847
00:47:18,360 --> 00:47:21,279
Speaker 2: his first time meeting Quincy Jones and his first So

848
00:47:21,320 --> 00:47:22,920
Speaker 2: we go in and he said, where are you from?

849
00:47:23,719 --> 00:47:26,680
Speaker 2: I said, I'm from Philly. He said your characters from Philly.

850
00:47:27,000 --> 00:47:30,400
Speaker 2: I'm like okay, and then like that's that's all he

851
00:47:30,480 --> 00:47:32,759
Speaker 2: needed to hear. He was like, you're gonna be a

852
00:47:33,160 --> 00:47:37,480
Speaker 2: massive movie star now. He also talked about dating Ivanka Trump.

853
00:47:39,400 --> 00:47:43,920
Speaker 2: You talk about, you know, Marlon Brando, fucking everybody, including

854
00:47:44,040 --> 00:47:46,160
Speaker 2: James Baldwin, Richard Pryor, and Marvin Gay.

855
00:47:46,840 --> 00:47:50,279
Speaker 1: Yeah. Yeah, that was my favorite pivot too, because when

856
00:47:50,280 --> 00:47:51,840
Speaker 1: they're like, when they're like, how do you know that,

857
00:47:51,880 --> 00:47:53,719
Speaker 1: He's like, come on, man, he did not give a

858
00:47:53,760 --> 00:47:56,960
Speaker 1: fuck you like Brazilian music. That was one of my

859
00:47:57,040 --> 00:47:58,040
Speaker 1: favorite all time.

860
00:47:58,120 --> 00:48:02,400
Speaker 2: Quincy one of the pivots in the history of conversation.

861
00:48:02,760 --> 00:48:06,600
Speaker 1: Well, he said, man, he said he fuck anything. He's like, wow,

862
00:48:07,360 --> 00:48:09,000
Speaker 1: how do you know anyway like Brazilian music.

863
00:48:09,400 --> 00:48:12,799
Speaker 2: Yeah, he's the most charming motherfucker you ever met. He'd

864
00:48:12,840 --> 00:48:16,839
Speaker 2: fuck anything, anything, He'd fuck a mailbox. James Baldwin, one

865
00:48:16,840 --> 00:48:19,719
Speaker 2: of our greatest writers. And think of Ridgard bryorid of

866
00:48:19,800 --> 00:48:22,400
Speaker 2: coming to Marvin Gay, one of our great singers.

867
00:48:22,880 --> 00:48:26,280
Speaker 1: He's stuck with them. How do you know that all mailboxes?

868
00:48:26,440 --> 00:48:30,680
Speaker 1: Obviously he fucking mailbox like James Baldwin. You know that's right.

869
00:48:30,960 --> 00:48:35,759
Speaker 1: Uh yeah, but ninety one, Um, just look Lincy, uh,

870
00:48:36,120 --> 00:48:38,360
Speaker 1: rest in peace to you. Yeah.

871
00:48:38,400 --> 00:48:41,600
Speaker 2: Absolutely. I'm sure there's a conspiracy theory out there, like

872
00:48:41,800 --> 00:48:48,600
Speaker 2: interesting that he revealed those things and now he bosses away. Yeah, okay,

873
00:48:48,880 --> 00:48:49,960
Speaker 2: was he vaccinated?

874
00:48:50,480 --> 00:48:52,600
Speaker 1: He was ninety one? Full? I don't know.

875
00:48:55,200 --> 00:48:57,279
Speaker 2: All right, those are some of the things that are

876
00:48:57,360 --> 00:49:01,080
Speaker 2: trending on this Monday morning. We're back tomorrow with a

877
00:49:01,120 --> 00:49:04,640
Speaker 2: whole last episode of the show. Until then, be kind

878
00:49:04,640 --> 00:49:08,280
Speaker 2: to each other, be kind to yourselves, get the vaccine,

879
00:49:08,320 --> 00:49:12,160
Speaker 2: get your blue shot, don't do nothing about white supremacy,

880
00:49:12,640 --> 00:49:14,640
Speaker 2: and we will talk to y'all tomorrow.

881
00:49:14,920 --> 00:49:20,480
Speaker 1: Bite bite,