1
00:00:02,880 --> 00:00:04,600
Speaker 1: What do you think this world series is going to

2
00:00:04,680 --> 00:00:08,320
Speaker 1: be like for the respective cities, Because now it's like

3
00:00:08,360 --> 00:00:10,320
Speaker 1: a thing I've always fantasized about.

4
00:00:10,440 --> 00:00:12,039
Speaker 2: I'm like Dodgers.

5
00:00:11,600 --> 00:00:14,200
Speaker 1: Versus or like the l I would love to see

6
00:00:14,200 --> 00:00:16,600
Speaker 1: that it's and it is the It is the world

7
00:00:16,640 --> 00:00:20,439
Speaker 1: series that I'm sure every advertiser on Earth was praying for.

8
00:00:21,440 --> 00:00:27,840
Speaker 3: But every connoisseur of toxic masculinity is probably just licking

9
00:00:27,920 --> 00:00:33,280
Speaker 3: their chops right now, the various forms, varying forms.

10
00:00:33,840 --> 00:00:35,120
Speaker 2: I'm licking my chops.

11
00:00:35,200 --> 00:00:38,680
Speaker 3: I'm licking chops so hard over here about this world series.

12
00:00:38,920 --> 00:00:41,240
Speaker 1: It was so hard to watch it from the East

13
00:00:41,280 --> 00:00:43,839
Speaker 1: Coast because like it starts at eight, and like I'm

14
00:00:43,880 --> 00:00:46,480
Speaker 1: already I'm already tired from being a parent and shit,

15
00:00:46,800 --> 00:00:49,559
Speaker 1: so like even the adrenaline of watching like a you know,

16
00:00:49,760 --> 00:00:51,559
Speaker 1: Pennant deciding game, I was like.

17
00:00:53,800 --> 00:00:56,400
Speaker 3: Baseball is purely background noise for me, even like at

18
00:00:56,400 --> 00:00:59,080
Speaker 3: this point, like I will put it on, but I'm

19
00:00:59,320 --> 00:01:01,920
Speaker 3: it's not ever going to be like we're staying up

20
00:01:02,280 --> 00:01:05,920
Speaker 3: or we're like changing plans to do it. But I

21
00:01:06,000 --> 00:01:07,160
Speaker 3: do find myself.

22
00:01:06,920 --> 00:01:10,440
Speaker 2: Room for the Dodgers, as you should. You know, I just.

23
00:01:10,400 --> 00:01:15,080
Speaker 3: Want more dopamine in the general brain system that's moving

24
00:01:15,080 --> 00:01:17,320
Speaker 3: around Los Angeles. We need all the help we can get.

25
00:01:17,440 --> 00:01:20,039
Speaker 2: I hope, I hope this just tears the country apart.

26
00:01:20,080 --> 00:01:21,880
Speaker 2: If I'm gonna be honest, that's.

27
00:01:21,720 --> 00:01:25,120
Speaker 3: What I want that. I just want this the civil war. Yeah,

28
00:01:25,200 --> 00:01:27,560
Speaker 3: the election goes off, fine, we.

29
00:01:27,520 --> 00:01:29,360
Speaker 2: Don't even care. But it doesn't even matter.

30
00:01:29,400 --> 00:01:37,880
Speaker 3: They're like, right, yeah, nobody saw this ship coming. It's

31
00:01:37,920 --> 00:01:41,680
Speaker 3: all about like different styles of baseball, and they steal

32
00:01:41,760 --> 00:01:43,160
Speaker 3: and move the runners along.

33
00:01:43,560 --> 00:01:45,480
Speaker 2: Yeah. Oh that's how you guys like to win.

34
00:01:45,920 --> 00:01:50,800
Speaker 3: Oh okay, stealing interest. How we stop the steal, stop

35
00:01:50,960 --> 00:01:51,600
Speaker 3: the steal?

36
00:01:51,800 --> 00:01:55,640
Speaker 1: Show hazen first, they're just screaming, stop the stealing sport.

37
00:02:00,800 --> 00:02:04,760
Speaker 3: Hello the Internet, and welcome to this week trend edition

38
00:02:04,920 --> 00:02:06,600
Speaker 3: of Guys.

39
00:02:07,080 --> 00:02:12,960
Speaker 2: Yeah, this is the sonorous tones of one miles. Whoa,

40
00:02:13,000 --> 00:02:14,519
Speaker 2: whoa do we do? Yes?

41
00:02:15,400 --> 00:02:19,160
Speaker 1: Yeah, it's Monday, and hey, and I know you can

42
00:02:19,160 --> 00:02:21,880
Speaker 1: hear it. I'm a little congested. I'm a little congested.

43
00:02:22,560 --> 00:02:24,880
Speaker 1: The allergens on the East Coast they kind of fuck

44
00:02:24,960 --> 00:02:25,160
Speaker 1: with me.

45
00:02:25,680 --> 00:02:31,840
Speaker 2: They different on the the allergions. We get to my

46
00:02:31,960 --> 00:02:33,400
Speaker 2: underrated no joke.

47
00:02:33,520 --> 00:02:36,440
Speaker 3: The allergens on the East Coast hit different that was

48
00:02:36,480 --> 00:02:39,079
Speaker 3: the first person to ever because that one's actually true.

49
00:02:39,680 --> 00:02:42,160
Speaker 3: The allergiens do hit different on the East coast. They

50
00:02:42,240 --> 00:02:42,880
Speaker 3: fucked me up.

51
00:02:43,240 --> 00:02:45,200
Speaker 1: Wait really, Oh you mean like I'm well, I'm sure

52
00:02:45,200 --> 00:02:47,560
Speaker 1: it's person dependent. I'm sure the other way people will

53
00:02:47,560 --> 00:02:52,280
Speaker 1: be like the fucking allergens on the West coast are system. Yeah,

54
00:02:52,440 --> 00:02:54,919
Speaker 1: because I can't even handle the ship and like I've it,

55
00:02:55,120 --> 00:02:57,400
Speaker 1: I have always fall allergies just.

56
00:02:57,320 --> 00:02:59,680
Speaker 2: In l A and now it's it's no different. But

57
00:02:59,720 --> 00:03:02,280
Speaker 2: what I it's not as bad, not as bad.

58
00:03:02,400 --> 00:03:05,760
Speaker 3: This is the episode where we tell you some of

59
00:03:05,760 --> 00:03:08,880
Speaker 3: the things that we're trending over the weekend. We also

60
00:03:09,160 --> 00:03:10,760
Speaker 3: let you get to know us a little bit better

61
00:03:10,720 --> 00:03:13,240
Speaker 3: about what's going on with a little a little bit

62
00:03:13,240 --> 00:03:15,440
Speaker 3: of an underrated, a little bit of an overrated.

63
00:03:16,320 --> 00:03:17,520
Speaker 2: You know, we we talked.

64
00:03:17,360 --> 00:03:22,360
Speaker 3: To these guests all week and get their overrated and underrated.

65
00:03:21,760 --> 00:03:23,080
Speaker 2: Blah blah blah.

66
00:03:23,080 --> 00:03:28,680
Speaker 3: What about us, Miles, We've got thoughts, we've got ideas. Exactly,

67
00:03:28,840 --> 00:03:31,480
Speaker 3: they're pretty similar week to week. But anyways, it's just

68
00:03:31,480 --> 00:03:34,480
Speaker 3: a fun, fun way to set the aat idea what

69
00:03:34,520 --> 00:03:37,440
Speaker 3: we've been doing over the weekend. Yeah, exactly, do you

70
00:03:37,440 --> 00:03:40,000
Speaker 3: want to kick us off say to go, Yeah, what's

71
00:03:40,000 --> 00:03:43,840
Speaker 3: something Miles that you think is underrated.

72
00:03:43,280 --> 00:03:46,880
Speaker 2: Under Oh boy, what did I put here? Oh?

73
00:03:47,040 --> 00:03:52,080
Speaker 1: First, up, I am the East Coast. I was at

74
00:03:52,120 --> 00:03:55,200
Speaker 1: a wedding for New Jersey people. It took place in

75
00:03:55,240 --> 00:03:58,839
Speaker 1: New Jersey. Bruce Springsteen's baby I Was Born to Run

76
00:03:58,960 --> 00:04:03,840
Speaker 1: came on and I I'm I'm look, I'm from La,

77
00:04:04,280 --> 00:04:09,040
Speaker 1: I'm I know the I know Bruce Springsteen is deified

78
00:04:09,120 --> 00:04:10,320
Speaker 1: and you're in the midst of.

79
00:04:10,320 --> 00:04:12,720
Speaker 2: A religious moment.

80
00:04:13,640 --> 00:04:17,080
Speaker 1: The way people rush to the dance floor like the

81
00:04:17,120 --> 00:04:21,640
Speaker 1: most emotional faces, singing along like damn near like tears

82
00:04:21,640 --> 00:04:25,000
Speaker 1: in people's eyes. I was kind of like, oh this,

83
00:04:25,160 --> 00:04:27,119
Speaker 1: I thought it was a bit at first. I'm like, oh,

84
00:04:27,160 --> 00:04:29,359
Speaker 1: here we go. Yeah, you're you're getting all into it

85
00:04:29,360 --> 00:04:33,120
Speaker 1: because it's Bruce Springsteen and you're in New Jersey and no, no, no, no, no,

86
00:04:33,360 --> 00:04:35,920
Speaker 1: this was like for real with.

87
00:04:35,880 --> 00:04:39,760
Speaker 2: Like their eyes are like rolled back. Yeah, You're like,

88
00:04:41,440 --> 00:04:42,360
Speaker 2: and I feel like that's.

89
00:04:42,279 --> 00:04:44,200
Speaker 1: Kind of how it is like with millennials sometimes, like

90
00:04:44,240 --> 00:04:47,040
Speaker 1: when California Love comes on, there are like certain like

91
00:04:47,120 --> 00:04:49,760
Speaker 1: Tupac sort of tracks or other like West Coast artists

92
00:04:49,839 --> 00:04:50,880
Speaker 1: that kind of bring that out.

93
00:04:50,920 --> 00:04:52,600
Speaker 2: But nothing quite like this.

94
00:04:52,680 --> 00:04:55,920
Speaker 1: So that was it was I was underrating just exactly

95
00:04:55,960 --> 00:04:59,240
Speaker 1: how much of a out of body experience it causes

96
00:04:59,279 --> 00:05:00,760
Speaker 1: for the people of the guard in state. And that

97
00:05:00,839 --> 00:05:03,400
Speaker 1: was a wonderful thing to witness because I do, like

98
00:05:03,440 --> 00:05:05,720
Speaker 1: I have, you know, I love I love New Jersey.

99
00:05:05,760 --> 00:05:08,599
Speaker 2: I feel like the valley what the Valley is to

100
00:05:08,760 --> 00:05:10,520
Speaker 2: La New Jersey is to New York. And that's why

101
00:05:10,560 --> 00:05:11,200
Speaker 2: fuck with y'all.

102
00:05:11,720 --> 00:05:15,120
Speaker 1: But the other thing, salmon as a sandwich protein I

103
00:05:15,120 --> 00:05:19,440
Speaker 1: think is underrated. Salmon sando and I'm not talking about locks.

104
00:05:19,560 --> 00:05:23,839
Speaker 1: I'm talking about like grilled salmon or however you're you're

105
00:05:23,880 --> 00:05:25,719
Speaker 1: st pan, frying it, whatever it.

106
00:05:25,839 --> 00:05:27,560
Speaker 2: Because I'm trying to I'm forty.

107
00:05:27,560 --> 00:05:31,520
Speaker 1: I don't know if y'all heard, come after me, I'm forty.

108
00:05:31,600 --> 00:05:33,919
Speaker 2: I'm forty, man, come after me. Don't come after my

109
00:05:34,000 --> 00:05:34,800
Speaker 2: beef and chicken.

110
00:05:34,839 --> 00:05:37,719
Speaker 1: Though then I'm just trying to eat less beef and chicken,

111
00:05:37,720 --> 00:05:40,080
Speaker 1: and I usually default to those, especially if I see

112
00:05:40,080 --> 00:05:43,039
Speaker 1: like a you know, a nice kind of roast beef

113
00:05:43,160 --> 00:05:45,560
Speaker 1: sort of a sandwich or a fried chicken sandwich.

114
00:05:45,600 --> 00:05:46,360
Speaker 2: I like those things.

115
00:05:46,400 --> 00:05:49,680
Speaker 1: I like, But I also love salmon like just as

116
00:05:49,720 --> 00:05:52,960
Speaker 1: an entree, and I had the opportunity to have this

117
00:05:53,800 --> 00:05:57,000
Speaker 1: fucking amazing salmon sandwich, and I was like, this is

118
00:05:57,120 --> 00:05:58,800
Speaker 1: this is where, this is where I should be going.

119
00:05:58,839 --> 00:06:01,240
Speaker 1: This is how you know, no, no, no, no no. This

120
00:06:01,360 --> 00:06:03,320
Speaker 1: was just completely out of there. This was like on

121
00:06:03,360 --> 00:06:06,839
Speaker 1: my travels back to DC HM shout out a Soco

122
00:06:06,920 --> 00:06:09,680
Speaker 1: and Tacoma Park. We're had this sandwich. They have like

123
00:06:09,720 --> 00:06:13,799
Speaker 1: this salmon sandwich, and I look, it's all about the margins.

124
00:06:14,160 --> 00:06:17,080
Speaker 1: So I could still have my big, gigantic sandwich. But

125
00:06:17,120 --> 00:06:18,520
Speaker 1: I don't need a bunch of shit that is bad

126
00:06:18,560 --> 00:06:20,479
Speaker 1: for me and the earth, So why don't I just

127
00:06:20,600 --> 00:06:22,360
Speaker 1: have some salmon in it?

128
00:06:22,440 --> 00:06:23,520
Speaker 2: And it was fantastic.

129
00:06:23,920 --> 00:06:26,119
Speaker 1: And now I'm like just trying to, you know, just

130
00:06:26,120 --> 00:06:29,080
Speaker 1: just cultivate those habits so underrated sandwich.

131
00:06:28,920 --> 00:06:31,200
Speaker 3: Sandwich miles and this is weird and this is like

132
00:06:31,240 --> 00:06:35,240
Speaker 3: where you're fucking lying amically connected. I didn't have a sandwich.

133
00:06:35,480 --> 00:06:41,280
Speaker 3: I had salmon over the weekend that was better than

134
00:06:41,440 --> 00:06:44,680
Speaker 3: any like any salmon I'd had before, Like there was

135
00:06:44,680 --> 00:06:46,080
Speaker 3: something about how they cooked it.

136
00:06:46,080 --> 00:06:47,680
Speaker 2: It just had a little bit more flavor.

137
00:06:48,040 --> 00:06:51,599
Speaker 3: I feel like anytime I'm getting grilled salmon, for the

138
00:06:51,640 --> 00:06:54,200
Speaker 3: most part in my experience.

139
00:06:54,320 --> 00:06:54,800
Speaker 2: It's dry.

140
00:06:55,320 --> 00:06:58,799
Speaker 3: It's dry, and it's also very flavorless, like it doesn't

141
00:06:58,920 --> 00:07:01,000
Speaker 3: And this time they had all lives in there with it.

142
00:07:01,080 --> 00:07:04,560
Speaker 3: That gave it a little saltiness. That just gave it

143
00:07:04,600 --> 00:07:06,680
Speaker 3: a little bit of something.

144
00:07:06,360 --> 00:07:08,039
Speaker 2: That you have to underneath it.

145
00:07:08,480 --> 00:07:10,520
Speaker 1: You have to under like most people cook it to

146
00:07:10,640 --> 00:07:12,280
Speaker 1: temperature and you kind of got to do it a

147
00:07:12,280 --> 00:07:13,120
Speaker 1: little bit before.

148
00:07:13,360 --> 00:07:13,520
Speaker 2: Yea.

149
00:07:13,640 --> 00:07:17,000
Speaker 3: So it's like chicken too, you know, media, But that's

150
00:07:17,080 --> 00:07:20,680
Speaker 3: the warm pink center, wormy pink center.

151
00:07:21,360 --> 00:07:23,680
Speaker 1: But no, no, no, The other thing too, if you should

152
00:07:23,720 --> 00:07:26,840
Speaker 1: try is to slow like roast it in your oven

153
00:07:27,000 --> 00:07:30,040
Speaker 1: at super low temperature and you will get that just

154
00:07:30,080 --> 00:07:32,800
Speaker 1: like a delicious juicy So just give it a nice

155
00:07:32,840 --> 00:07:39,080
Speaker 1: sweat in there, all right, my underrated What did I

156
00:07:39,160 --> 00:07:43,960
Speaker 1: write down? Animal's ability to do stuff only humans supposedly do?

157
00:07:44,960 --> 00:07:49,320
Speaker 1: Is my underrated? We talked last week. We're still on that, man.

158
00:07:49,400 --> 00:07:52,520
Speaker 3: Yeah, I mean my eyes are open, so my eyes

159
00:07:52,560 --> 00:07:55,680
Speaker 3: are open to things that in the past I might

160
00:07:55,680 --> 00:07:58,880
Speaker 3: have scrolled right by. But we talked last week about

161
00:07:58,880 --> 00:08:02,840
Speaker 3: how scientists are decode birds song and have known for

162
00:08:02,880 --> 00:08:06,840
Speaker 3: a while that there's like more complicated communication happening than

163
00:08:06,920 --> 00:08:10,480
Speaker 3: I would have thought possible. A type of tit in

164
00:08:10,760 --> 00:08:14,000
Speaker 3: the UK figured out how to open milk jugs, and

165
00:08:14,040 --> 00:08:17,640
Speaker 3: then it like went viral among birds, Like the birds

166
00:08:17,760 --> 00:08:20,360
Speaker 3: taught each other how to open the milk jugs across

167
00:08:20,360 --> 00:08:24,080
Speaker 3: Europe and like it just over the course of decades,

168
00:08:24,120 --> 00:08:25,960
Speaker 3: it was like, now birds can open these milk jugs

169
00:08:25,960 --> 00:08:27,960
Speaker 3: they used to not be able to because they can

170
00:08:28,000 --> 00:08:31,760
Speaker 3: teach each other. So I just learned about another type

171
00:08:31,760 --> 00:08:35,280
Speaker 3: of animal making a work of art that's really like beautiful.

172
00:08:35,440 --> 00:08:38,920
Speaker 3: So scientists kept noticing these like large crop circles on

173
00:08:38,960 --> 00:08:43,520
Speaker 3: the ocean floor in the subtropical waters off southern Japan.

174
00:08:43,920 --> 00:08:48,400
Speaker 3: There's these like big intricately designed circles that have all

175
00:08:48,400 --> 00:08:52,720
Speaker 3: these like squiggles and you know, indentations in the sand.

176
00:08:52,840 --> 00:08:56,120
Speaker 3: It's just like and you have to like rise up

177
00:08:56,160 --> 00:08:59,959
Speaker 3: above it to like fully appreciate it. It's pretty cool,

178
00:09:00,200 --> 00:09:01,520
Speaker 3: Like you need to zoom out, like you need to

179
00:09:01,520 --> 00:09:03,959
Speaker 3: need to zoom out. That's the whole perspect get it,

180
00:09:04,080 --> 00:09:09,000
Speaker 3: And scientists a really what what weird force is making

181
00:09:09,320 --> 00:09:11,880
Speaker 3: art like this that seems like it's designed to be

182
00:09:11,960 --> 00:09:16,679
Speaker 3: appreciated from a different perspective thing you would have while

183
00:09:16,720 --> 00:09:19,720
Speaker 3: making it. And then they saw these little horny male

184
00:09:19,800 --> 00:09:25,280
Speaker 3: pufferfish doing it basically as like an elaborate mating ritual.

185
00:09:25,720 --> 00:09:28,160
Speaker 3: They just work twenty four hours a day, and because

186
00:09:28,440 --> 00:09:31,120
Speaker 3: it's under at the bottom of the sea, there's like

187
00:09:31,360 --> 00:09:34,200
Speaker 3: various currents that are like fucking it up, and so

188
00:09:34,240 --> 00:09:38,240
Speaker 3: they're just repeatedly over and over having to like make

189
00:09:38,280 --> 00:09:42,360
Speaker 3: this design, set it up, reset it up, redo it.

190
00:09:42,520 --> 00:09:45,839
Speaker 2: Oh, it's like sissyfician basically yeah, yeah.

191
00:09:45,320 --> 00:09:47,520
Speaker 3: But like for twenty four hours. And then if they

192
00:09:47,559 --> 00:09:50,960
Speaker 3: do a good enough job, the female pufferfish laser eggs

193
00:09:51,000 --> 00:09:52,680
Speaker 3: in the middle of the circle.

194
00:09:53,240 --> 00:09:54,800
Speaker 2: And I don't know.

195
00:09:54,760 --> 00:09:57,439
Speaker 3: Even like the BBC article that I found talking about

196
00:09:57,480 --> 00:10:01,120
Speaker 3: it calls the designs like random squiggles in some places

197
00:10:01,160 --> 00:10:04,200
Speaker 3: where it's like I don't know, like they say, First,

198
00:10:04,200 --> 00:10:08,440
Speaker 3: first the male traces basic circular shapes that embellishes them

199
00:10:08,480 --> 00:10:11,560
Speaker 3: with ridges by swimming inward at different angles. Next he

200
00:10:11,640 --> 00:10:15,360
Speaker 3: fills in the circle with doodles or of random squiggly lines.

201
00:10:15,600 --> 00:10:17,640
Speaker 3: It's like, I don't know, man, you don't know. You

202
00:10:17,640 --> 00:10:21,360
Speaker 3: don't read puffer fish, you don't know what the I bet.

203
00:10:21,400 --> 00:10:27,320
Speaker 3: I bet the language looked like random. And then they

204
00:10:27,320 --> 00:10:30,240
Speaker 3: also have to like add their like, and we we

205
00:10:30,360 --> 00:10:33,199
Speaker 3: think that they do this because it like sweeps oxygen

206
00:10:33,320 --> 00:10:36,440
Speaker 3: rich water towards the middle, which is cool if that's

207
00:10:36,480 --> 00:10:39,360
Speaker 3: actually true, but it also feels like they just needed

208
00:10:39,480 --> 00:10:43,720
Speaker 3: like some sort of survival based mechanism for it to

209
00:10:43,800 --> 00:10:47,240
Speaker 3: tie into being like we just did something dope to

210
00:10:47,640 --> 00:10:53,080
Speaker 3: attract people, which is just like basically art. And this

211
00:10:53,200 --> 00:10:55,760
Speaker 3: does tie back to birds. I'm going to tie back

212
00:10:55,800 --> 00:10:59,160
Speaker 3: to birds, folks. There's this book Evolution of Beauty that

213
00:10:59,200 --> 00:11:04,640
Speaker 3: looks at birds doing like all these elaborate mating dances

214
00:11:04,880 --> 00:11:09,440
Speaker 3: and says that it doesn't it's not because like they're

215
00:11:09,480 --> 00:11:11,800
Speaker 3: showing off how good they'll be at like getting.

216
00:11:11,480 --> 00:11:15,080
Speaker 2: Food or whatever. It's just beauty. It's just right.

217
00:11:15,600 --> 00:11:19,280
Speaker 3: The trees are full of singing flowers that exist just

218
00:11:19,360 --> 00:11:21,960
Speaker 3: to be like beautiful for each other. And they do

219
00:11:22,040 --> 00:11:26,720
Speaker 3: it in like really complex ways, and like one of

220
00:11:26,720 --> 00:11:31,440
Speaker 3: the birds uses forced perspective. They like design their nest

221
00:11:31,920 --> 00:11:35,400
Speaker 3: with like different trinkets, and like they will put smaller

222
00:11:35,440 --> 00:11:38,760
Speaker 3: ones two larger ones in a way that makes it

223
00:11:38,840 --> 00:11:42,080
Speaker 3: look like it's like going away from you.

224
00:11:42,600 --> 00:11:44,599
Speaker 2: Which yeah, it's just I don't know.

225
00:11:44,840 --> 00:11:46,679
Speaker 3: Like cuddlefish have been shown to be able to like

226
00:11:47,000 --> 00:11:51,079
Speaker 3: keep track of like weird three dimens, like very complex

227
00:11:51,160 --> 00:11:55,400
Speaker 3: three dimensional equations when they're camouflaging themselves, because like if

228
00:11:55,400 --> 00:11:57,880
Speaker 3: they're in a tank and they see someone walking around

229
00:11:57,880 --> 00:12:01,280
Speaker 3: the room, they'll camouflage themselves, keeping in mind like Okay,

230
00:12:01,320 --> 00:12:04,840
Speaker 3: they're twenty feet out, so to them, like the thing

231
00:12:04,960 --> 00:12:09,640
Speaker 3: behind me is what the fuck? Yeah, Like it's wild,

232
00:12:09,760 --> 00:12:13,680
Speaker 3: Like they just can do shit that I think we've

233
00:12:13,800 --> 00:12:17,400
Speaker 3: just like we'll look back on our writing about animals

234
00:12:17,520 --> 00:12:20,040
Speaker 3: up to this point in a lot of cases and

235
00:12:20,080 --> 00:12:23,040
Speaker 3: be like we were just like so so dismissive. Just

236
00:12:23,120 --> 00:12:26,360
Speaker 3: like they're probably like doing it because they want to

237
00:12:26,559 --> 00:12:28,920
Speaker 3: signal day can be early bird to get to worm.

238
00:12:29,200 --> 00:12:33,199
Speaker 3: And it's like, nah, it's it's actually they're doing art

239
00:12:33,600 --> 00:12:35,200
Speaker 3: in very complex.

240
00:12:34,760 --> 00:12:37,360
Speaker 2: Ways, and they're talking idiots and they're.

241
00:12:37,200 --> 00:12:42,280
Speaker 3: Talking dumb, dumb. So that's my underrated What what's something

242
00:12:42,320 --> 00:12:43,760
Speaker 3: you think is overrated?

243
00:12:43,800 --> 00:12:48,359
Speaker 1: Miles referees, referees, referees and sporting events.

244
00:12:48,559 --> 00:12:52,040
Speaker 3: Yeah, some there's a lot of our sponsored segment about

245
00:12:52,040 --> 00:12:54,040
Speaker 3: how AI should replace.

246
00:12:53,800 --> 00:12:56,000
Speaker 2: Referees, right, I mean, I don't know.

247
00:12:56,000 --> 00:12:59,120
Speaker 1: I feel like it might have got that Brandon Stewart

248
00:12:59,160 --> 00:13:00,840
Speaker 1: call right last night.

249
00:13:00,920 --> 00:13:01,880
Speaker 2: But there's been some.

250
00:13:01,880 --> 00:13:06,000
Speaker 1: Interesting calls throughout the NBA post WNBA postseason and the

251
00:13:06,080 --> 00:13:08,960
Speaker 1: finals finale happened last night where the Liberty beat the

252
00:13:09,120 --> 00:13:14,160
Speaker 1: Link but little contentious going into overtime.

253
00:13:14,480 --> 00:13:16,280
Speaker 2: Was it a foul? Was it not a foul?

254
00:13:16,360 --> 00:13:18,240
Speaker 1: I mean, Cheryl Reeve, you know, the coach of the

255
00:13:18,280 --> 00:13:21,480
Speaker 1: Links and you know team coach of Team USA who

256
00:13:21,520 --> 00:13:23,480
Speaker 1: won the gold is like broll. We've had two fucking

257
00:13:23,559 --> 00:13:27,880
Speaker 1: championships just stolen from us from bad from bad calls.

258
00:13:28,760 --> 00:13:30,839
Speaker 2: One of that was to the Sparks, and you know,

259
00:13:31,120 --> 00:13:32,080
Speaker 2: we don't have to get into that.

260
00:13:32,600 --> 00:13:35,079
Speaker 1: But like, aside from that, like there's just a lot

261
00:13:35,080 --> 00:13:39,400
Speaker 1: of ambient anger about refereeing. I feel like, really that's

262
00:13:39,400 --> 00:13:42,120
Speaker 1: like increasing more and more over the last couple of years,

263
00:13:42,520 --> 00:13:45,520
Speaker 1: especially when there's like more replay technology. We're like, well,

264
00:13:45,520 --> 00:13:47,360
Speaker 1: we want to give the referees a chance to be

265
00:13:47,400 --> 00:13:50,080
Speaker 1: able to like right their wrongs. This also happened like

266
00:13:50,400 --> 00:13:52,560
Speaker 1: in the English Premier League over the weekend. There were

267
00:13:52,559 --> 00:13:54,800
Speaker 1: a lot of like inconsistent calls or like fouls of

268
00:13:54,840 --> 00:13:57,560
Speaker 1: the same type were not being penalized in the same way,

269
00:13:57,800 --> 00:14:01,800
Speaker 1: and video referees are not having asistant calls, so whether

270
00:14:02,000 --> 00:14:04,400
Speaker 1: justified or not. It just feels like there's just more

271
00:14:04,440 --> 00:14:07,760
Speaker 1: and more awareness of refs making these game shifting calls,

272
00:14:08,240 --> 00:14:11,800
Speaker 1: and you know, I feel like a good ref is

273
00:14:12,120 --> 00:14:14,440
Speaker 1: a ref who knows how to manage the game and

274
00:14:14,480 --> 00:14:18,480
Speaker 1: also understands that like higher intensity games call for some nuance,

275
00:14:18,600 --> 00:14:20,760
Speaker 1: Like it can't always be like the letter of if

276
00:14:20,800 --> 00:14:22,640
Speaker 1: you call everything. If it's if you're gonna be to

277
00:14:22,680 --> 00:14:23,880
Speaker 1: the letter of the law, you have to be to

278
00:14:23,920 --> 00:14:26,400
Speaker 1: the letter of the law, like every single time. And

279
00:14:26,440 --> 00:14:28,480
Speaker 1: I just don't know if that's really possible, because it's

280
00:14:28,480 --> 00:14:32,400
Speaker 1: also an entertainment thing, and a lot of people, I think,

281
00:14:32,400 --> 00:14:32,960
Speaker 1: get more.

282
00:14:32,840 --> 00:14:33,360
Speaker 2: And more like.

283
00:14:35,480 --> 00:14:36,880
Speaker 1: And I know part of that is a sort of

284
00:14:37,760 --> 00:14:41,040
Speaker 1: part is in fanness. Part is in fandom as well,

285
00:14:41,080 --> 00:14:43,040
Speaker 1: But like there are times when like you're just looking

286
00:14:43,080 --> 00:14:45,080
Speaker 1: at an instant replay over and over again.

287
00:14:45,080 --> 00:14:46,840
Speaker 2: They're like, they're gonna review this, and you're like, surely

288
00:14:46,880 --> 00:14:47,360
Speaker 2: they can't.

289
00:14:47,680 --> 00:14:53,160
Speaker 3: What okay, so they can't get it wrong after the

290
00:14:53,640 --> 00:14:56,840
Speaker 3: repay when they see it again in slow motions And I'm.

291
00:14:56,760 --> 00:14:59,240
Speaker 2: Going to stand by what I said before. We're uh,

292
00:14:59,680 --> 00:15:01,720
Speaker 2: yeah we're going with that one. Yeah, we're going with

293
00:15:01,720 --> 00:15:02,040
Speaker 2: that one.

294
00:15:02,120 --> 00:15:04,200
Speaker 1: I'm not wrong, and I don't want a cop to it,

295
00:15:04,280 --> 00:15:05,920
Speaker 1: so let's keep it moving.

296
00:15:05,960 --> 00:15:08,520
Speaker 2: But yeah, anyway, that's that's that's just something I've.

297
00:15:08,520 --> 00:15:11,240
Speaker 1: I've been watching over the weekend a lot of sports

298
00:15:11,240 --> 00:15:13,560
Speaker 1: and a lot of fan arsenal.

299
00:15:13,840 --> 00:15:17,520
Speaker 3: Is a you know what fucking did this weekend? You

300
00:15:17,640 --> 00:15:23,400
Speaker 3: know it did every time? It does every fucking time. Yeah,

301
00:15:23,440 --> 00:15:25,880
Speaker 3: every time. But I'll leave that there. I don't need

302
00:15:25,920 --> 00:15:27,720
Speaker 3: to get into the specifics of my pain.

303
00:15:27,840 --> 00:15:29,560
Speaker 1: But I was just saying, I was just saying, Oh,

304
00:15:29,560 --> 00:15:33,640
Speaker 1: it's universal, it's a universally shared frustration that referees are

305
00:15:33,680 --> 00:15:37,120
Speaker 1: like they're like activist referees, you know what I mean,

306
00:15:37,200 --> 00:15:40,000
Speaker 1: Like you're not keeping the game intact, Like you're saying,

307
00:15:40,040 --> 00:15:42,560
Speaker 1: like I'm the main character and I'm going to decide

308
00:15:42,600 --> 00:15:46,680
Speaker 1: this thing should happen. And then so anyway, that's me,

309
00:15:46,840 --> 00:15:49,160
Speaker 1: that's me being a partisan fan.

310
00:15:49,440 --> 00:15:53,040
Speaker 3: I wonder I like a psychological profile, Like what if

311
00:15:53,080 --> 00:15:58,480
Speaker 3: there's a part of the ideal psychological profile that like

312
00:15:58,560 --> 00:16:01,720
Speaker 3: makes a referee that is just like contrarian, you know

313
00:16:01,760 --> 00:16:05,440
Speaker 3: what I mean, because they have to be willing to

314
00:16:05,480 --> 00:16:10,440
Speaker 3: eat so much shit like from the masses, right, you know,

315
00:16:10,800 --> 00:16:16,400
Speaker 3: like right widely derided and like hated by entire cities,

316
00:16:16,800 --> 00:16:21,720
Speaker 3: Like I wonder if that then requires a certain personality

317
00:16:21,760 --> 00:16:24,320
Speaker 3: type that's like, you know, came out of the womb

318
00:16:24,360 --> 00:16:27,800
Speaker 3: being like, fuck you, that's why, right, yeah, oh you

319
00:16:28,000 --> 00:16:28,520
Speaker 3: know my name?

320
00:16:28,680 --> 00:16:29,840
Speaker 2: Fuck you, that's my name.

321
00:16:30,240 --> 00:16:33,040
Speaker 1: I feel like in my time like playing organized sports,

322
00:16:33,040 --> 00:16:35,280
Speaker 1: you had refs that were clearly like, I suck at

323
00:16:35,280 --> 00:16:37,200
Speaker 1: this sport and this is just what the only way

324
00:16:37,200 --> 00:16:38,400
Speaker 1: I can kind of get near the game.

325
00:16:38,440 --> 00:16:40,200
Speaker 2: Now, Yeah, I just like the game so.

326
00:16:40,320 --> 00:16:43,160
Speaker 1: Much so, but I also have a chip on my shoulder,

327
00:16:43,240 --> 00:16:46,160
Speaker 1: so I'll be kind of like an asshole as a ref.

328
00:16:46,160 --> 00:16:49,480
Speaker 1: You do have like like rule book nerd refs who

329
00:16:49,560 --> 00:16:52,640
Speaker 1: truly are just like I want to adjudicate this sporting

330
00:16:52,680 --> 00:16:54,320
Speaker 1: competition as best as I can.

331
00:16:54,800 --> 00:16:57,600
Speaker 2: Yeah, but yeah, I don't know. I mean, I'm sure

332
00:16:57,920 --> 00:16:59,360
Speaker 2: I'm sure there either way would be.

333
00:16:59,440 --> 00:17:04,879
Speaker 3: I hate them man Nerds. Fuck my least favorite dude.

334
00:17:05,600 --> 00:17:07,520
Speaker 3: Get out of my sports nerds.

335
00:17:07,440 --> 00:17:10,040
Speaker 1: Man, but also come on, give me some fair calls

336
00:17:10,119 --> 00:17:10,880
Speaker 1: Nerd please.

337
00:17:13,520 --> 00:17:17,639
Speaker 3: My overrated is just any I've noticed it happening on

338
00:17:17,680 --> 00:17:20,679
Speaker 3: Microsoft teams a lot, which I don't think anybody uses,

339
00:17:20,800 --> 00:17:24,159
Speaker 3: but like it also I guess happens on FaceTime the

340
00:17:24,240 --> 00:17:24,840
Speaker 3: thumbs up.

341
00:17:25,200 --> 00:17:27,879
Speaker 2: Yeah, where does it happen on zoom?

342
00:17:28,080 --> 00:17:32,040
Speaker 1: Yeah it does right now, Okay watch three two one

343
00:17:32,200 --> 00:17:32,720
Speaker 1: and boo.

344
00:17:32,920 --> 00:17:36,879
Speaker 3: There it is where it uses ai, I think, to

345
00:17:37,119 --> 00:17:45,040
Speaker 3: read our gestures to then underline our gestures with a

346
00:17:45,520 --> 00:17:51,280
Speaker 3: like mog thumbs up or thumbs down or like you know, laughter,

347
00:17:52,000 --> 00:17:55,000
Speaker 3: you know, just so much dumb shit. I've never seen

348
00:17:55,040 --> 00:17:58,040
Speaker 3: this be additive in the least bit. Like there, I

349
00:17:58,080 --> 00:17:59,200
Speaker 3: can't and I can't.

350
00:17:58,960 --> 00:18:01,320
Speaker 2: Conceive of a scenario where it would be additive.

351
00:18:01,600 --> 00:18:04,440
Speaker 1: I feel like I get like, for like accessibility issues

352
00:18:04,480 --> 00:18:07,120
Speaker 1: that like might be one thing, but there to raise

353
00:18:07,160 --> 00:18:09,520
Speaker 1: your hand like in a meeting, there there's usually just

354
00:18:09,600 --> 00:18:11,439
Speaker 1: like a button you can click where you don't have

355
00:18:11,480 --> 00:18:14,359
Speaker 1: to like physically be like wait for the camera to

356
00:18:14,440 --> 00:18:17,800
Speaker 1: be like, oh it has recognized my hand inconsistently like

357
00:18:17,880 --> 00:18:21,879
Speaker 1: a terrible referee. And yeah, I don't know. I think

358
00:18:21,880 --> 00:18:23,280
Speaker 1: it's just kind of like one of those things where's

359
00:18:23,320 --> 00:18:24,879
Speaker 1: like look what it can do now, and you're like,

360
00:18:24,920 --> 00:18:28,639
Speaker 1: I don't care if this, like this big lighter is

361
00:18:28,720 --> 00:18:31,719
Speaker 1: also a can opener, Like it's not a function I

362
00:18:31,760 --> 00:18:32,840
Speaker 1: needed on this other thing.

363
00:18:33,119 --> 00:18:35,199
Speaker 3: And when it does get my hand gesture wrong, I

364
00:18:35,359 --> 00:18:38,520
Speaker 3: do stop the call to uh tell it to get

365
00:18:38,520 --> 00:18:42,119
Speaker 3: its eyes checked and ask it as shit for brands.

366
00:18:41,880 --> 00:18:45,679
Speaker 1: Hey, zebra, why don't you go, Hey, you're lafe for

367
00:18:45,720 --> 00:18:46,920
Speaker 1: your shift a foot locker.

368
00:18:49,720 --> 00:18:51,960
Speaker 2: But yeah, I don't know, Like they never get it right.

369
00:18:52,680 --> 00:18:55,520
Speaker 3: Sometimes you stop a call because you accidentally showed your

370
00:18:55,520 --> 00:18:57,560
Speaker 3: thumb on a meeting at a point where you have

371
00:18:57,760 --> 00:19:00,880
Speaker 3: absolutely no opinion and are trying to keep your head down,

372
00:19:01,240 --> 00:19:02,400
Speaker 3: and it's just like.

373
00:19:02,280 --> 00:19:05,199
Speaker 2: Oh, wow, Jack agrees. Do you care to chime in

374
00:19:05,240 --> 00:19:09,280
Speaker 2: on that? Yeah? No, that was an errant thumb. I'm

375
00:19:09,280 --> 00:19:13,560
Speaker 2: sorry the AI is tripping. I was doing the hand

376
00:19:13,680 --> 00:19:17,159
Speaker 2: jive for some reason. Uh yeah, I don't know.

377
00:19:17,400 --> 00:19:20,280
Speaker 3: Like best case scenario, someone is giving the thumbs up

378
00:19:20,320 --> 00:19:22,720
Speaker 3: and you're just like adding an emoji to like something

379
00:19:22,760 --> 00:19:26,800
Speaker 3: that was already communicated via thumbs up thumbs up the

380
00:19:26,880 --> 00:19:30,639
Speaker 3: original emoji, Like you don't, you don't need it right right,

381
00:19:31,119 --> 00:19:34,320
Speaker 3: like you Sometimes you need to do the heart the

382
00:19:34,400 --> 00:19:37,879
Speaker 3: heart emoji with your hands to like, hey, it'll create

383
00:19:37,920 --> 00:19:39,320
Speaker 3: a heart emogive if you do the heart thing with

384
00:19:39,359 --> 00:19:42,160
Speaker 3: your hands, the hands are doing the work for you.

385
00:19:42,160 --> 00:19:44,040
Speaker 2: You don't, you don't need to do it, but.

386
00:19:43,960 --> 00:19:48,040
Speaker 1: It recognized what your hand did through the intell machine learning.

387
00:19:48,119 --> 00:19:50,479
Speaker 2: Yeah, and then put that form on the screen.

388
00:19:51,200 --> 00:19:55,360
Speaker 3: Yeah, it's just it's just tech people saying, look look

389
00:19:55,359 --> 00:19:58,480
Speaker 3: at me. Yeah, I can see how it would make

390
00:19:58,560 --> 00:20:02,760
Speaker 3: sense inside Silicon Valley. Uh, and it makes sense absolutely

391
00:20:02,800 --> 00:20:04,800
Speaker 3: nowhere else. I feel like, but let me know if

392
00:20:04,800 --> 00:20:07,240
Speaker 3: you got if you got the answer for why this

393
00:20:07,320 --> 00:20:10,680
Speaker 3: makes sense, why it persists, why it is like default

394
00:20:10,840 --> 00:20:14,879
Speaker 3: on on all these applications. Uh, don't let me know,

395
00:20:14,960 --> 00:20:17,480
Speaker 3: but you know, just feel good about knowing something that

396
00:20:17,560 --> 00:20:20,840
Speaker 3: I don't know. I guess let's take a quick break

397
00:20:20,880 --> 00:20:33,359
Speaker 3: and we'll come back and get into some news, and

398
00:20:33,640 --> 00:20:34,240
Speaker 3: we're back.

399
00:20:34,480 --> 00:20:35,119
Speaker 2: We're back.

400
00:20:35,440 --> 00:20:40,560
Speaker 3: And Donald Trump had a weekend, didn't he, folks us

401
00:20:41,680 --> 00:20:43,080
Speaker 3: two weeks y'all.

402
00:20:44,440 --> 00:20:51,320
Speaker 2: Served. It's so wild fifteen days. So it's interesting.

403
00:20:51,440 --> 00:20:56,080
Speaker 3: So his campaign said he was going to begin previewing

404
00:20:56,160 --> 00:21:00,400
Speaker 3: this weekend his closing argument with election day nearly two

405
00:21:00,400 --> 00:21:07,000
Speaker 3: weeks away, and in that public appearance, he paid tribute

406
00:21:07,440 --> 00:21:13,359
Speaker 3: to native Pennsylvanian Arnold Palmer. This is giant dick Yuh.

407
00:21:12,840 --> 00:21:15,680
Speaker 2: Yeah, oh yeah, yeah, yeah, oh right, yeah, that thing,

408
00:21:15,760 --> 00:21:18,760
Speaker 2: that thing, that thing, Yeah, that was cool. You have that?

409
00:21:19,200 --> 00:21:21,240
Speaker 2: Oh do we have that? Yeah? Yeah?

410
00:21:21,280 --> 00:21:25,000
Speaker 1: Well let's just pull this up. This is him just saying, hey,

411
00:21:25,000 --> 00:21:27,919
Speaker 1: we're here in the Trope, Pennsylvania home of Arnold Palmer.

412
00:21:27,960 --> 00:21:28,919
Speaker 1: He really loved this place.

413
00:21:29,200 --> 00:21:31,880
Speaker 2: And then he switches it up to this.

414
00:21:32,440 --> 00:21:35,240
Speaker 4: But Arnold Palmer was all man. And I say that

415
00:21:35,359 --> 00:21:38,080
Speaker 4: in all due respect to women, and I love women.

416
00:21:38,800 --> 00:21:42,679
Speaker 1: But this guy, okay, but this guy, what was a

417
00:21:42,720 --> 00:21:43,800
Speaker 1: better woman than any of you?

418
00:21:43,840 --> 00:21:44,119
Speaker 2: Will be?

419
00:21:44,280 --> 00:21:44,480
Speaker 3: Guy?

420
00:21:44,760 --> 00:21:48,040
Speaker 2: That was all man. Oh, this man.

421
00:21:47,960 --> 00:21:51,760
Speaker 4: Was strong and tough. And I refused to say it.

422
00:21:51,800 --> 00:21:55,760
Speaker 4: But when he took showers with the other pros, they

423
00:21:55,800 --> 00:22:02,040
Speaker 4: came out of there they said, oh my god, that's unbelievable.

424
00:22:03,240 --> 00:22:04,119
Speaker 4: I had to say it.

425
00:22:04,720 --> 00:22:08,520
Speaker 2: No, no, you did not know you did it? What.

426
00:22:08,760 --> 00:22:12,080
Speaker 3: I hate to say it, But when he took showers

427
00:22:12,080 --> 00:22:15,840
Speaker 3: with the other golfers, Wait, are all the PGA golfers

428
00:22:15,920 --> 00:22:19,199
Speaker 3: just like showering together after I wouldn't expect that.

429
00:22:19,440 --> 00:22:21,959
Speaker 1: I mean, like, aren't you like? But like, aren't you

430
00:22:22,160 --> 00:22:25,000
Speaker 1: It's kind of like you're subtly eliminated. You're out of

431
00:22:25,040 --> 00:22:27,680
Speaker 1: contention at certain points. No, I mean, I guess everyone

432
00:22:27,680 --> 00:22:29,000
Speaker 1: has to complete their rounds of golf.

433
00:22:29,080 --> 00:22:30,159
Speaker 2: But I don't know.

434
00:22:30,240 --> 00:22:34,439
Speaker 3: I guess, but the showers are communal the time that

435
00:22:34,480 --> 00:22:35,320
Speaker 3: we all come together.

436
00:22:35,800 --> 00:22:38,360
Speaker 2: Hey wait, wait, hey, you want your shower already.

437
00:22:38,560 --> 00:22:40,720
Speaker 1: Arnold isn't even in here yet, man, hold on, No,

438
00:22:41,520 --> 00:22:46,520
Speaker 1: it's just it's just so wild. Yeah, he had to

439
00:22:46,560 --> 00:22:49,119
Speaker 1: say it, though he had he prefaced it in the

440
00:22:49,160 --> 00:22:53,720
Speaker 1: way that all fans proprietors of toxic masculinity do.

441
00:22:54,359 --> 00:22:57,760
Speaker 3: Like, I love women, folks, I'm about to talk about guys, Dick,

442
00:22:57,840 --> 00:23:00,440
Speaker 3: so like, just be right up.

443
00:23:00,960 --> 00:23:05,320
Speaker 2: Love women. God, I love women, right, God, I love women.

444
00:23:05,359 --> 00:23:09,680
Speaker 2: But this guy's hog, Oh my god, a thing of beauty.

445
00:23:10,000 --> 00:23:13,960
Speaker 2: Holy shit. But also, let's be real. He didn't say

446
00:23:14,200 --> 00:23:16,280
Speaker 2: in what direction. It was unbelievable.

447
00:23:17,960 --> 00:23:20,280
Speaker 3: He had the tiniest so they could be a man

448
00:23:20,680 --> 00:23:23,760
Speaker 3: from his own heart. Yeah, maybe he's like the Greeks

449
00:23:23,800 --> 00:23:28,360
Speaker 3: where they like admired a perk little you know, perfect.

450
00:23:28,200 --> 00:23:30,800
Speaker 1: Hey, adrenaline in the heat of battle. We'll do that,

451
00:23:31,320 --> 00:23:33,160
Speaker 1: you know, so you never know, you never.

452
00:23:33,000 --> 00:23:35,640
Speaker 2: Know, swinging that wood, you know. Yeah.

453
00:23:35,760 --> 00:23:40,199
Speaker 1: Yeah, Unfortunately, and even like the like construction worker dudes

454
00:23:40,200 --> 00:23:42,879
Speaker 1: behind him were like, oh man, like they did like

455
00:23:42,920 --> 00:23:45,800
Speaker 1: the laugh that wasn't like, holy shit, this guy's killing it.

456
00:23:45,840 --> 00:23:48,520
Speaker 2: They're like, ohja, what the fuck?

457
00:23:50,600 --> 00:23:52,800
Speaker 3: I had to say, we have women that are highly

458
00:23:52,840 --> 00:23:56,080
Speaker 3: sophisticated here, but they used to look at Arnold as

459
00:23:56,119 --> 00:23:58,840
Speaker 3: a man, is what he said after after that, I

460
00:23:58,880 --> 00:24:02,880
Speaker 3: don't I don't know what that means. Yeah, So Mike

461
00:24:02,960 --> 00:24:10,000
Speaker 3: Johnson sounds perfect, h Mike Johnson. So Mike Johnson speaker,

462
00:24:10,560 --> 00:24:16,200
Speaker 3: And uh, he's the guy who monitors and is monitored

463
00:24:16,800 --> 00:24:22,359
Speaker 3: by his teenage son's pornography intake. You know, if he

464
00:24:22,440 --> 00:24:26,200
Speaker 3: watches porn his teenage son finds out about it. Yeah, yeah, yeah,

465
00:24:26,240 --> 00:24:30,320
Speaker 3: yal relig Yeah, he's covered eyes old coveted eyes. Johnson

466
00:24:31,359 --> 00:24:36,080
Speaker 3: had to like go on CNN Sunday and answer for this.

467
00:24:36,400 --> 00:24:39,119
Speaker 1: Yeah, which is funny because he all, this is like

468
00:24:39,160 --> 00:24:41,840
Speaker 1: what happens because it's always like is this your king

469
00:24:42,680 --> 00:24:44,560
Speaker 1: every time and he's like, come on, here's the thing

470
00:24:44,600 --> 00:24:47,520
Speaker 1: you have to understand about eating pets or whatever. So

471
00:24:47,600 --> 00:24:51,240
Speaker 1: this is him trying to pivot out of the Arnold

472
00:24:51,400 --> 00:24:53,440
Speaker 1: Arnold Palmer penis commentary.

473
00:24:53,840 --> 00:24:56,880
Speaker 5: Why is he talking about Arnold Palmer's penis in front

474
00:24:56,920 --> 00:24:58,040
Speaker 5: of Pennsylvania voters?

475
00:24:58,320 --> 00:25:01,160
Speaker 2: God, the alliteration j you seem to like that line

476
00:25:01,200 --> 00:25:04,480
Speaker 2: a lot. Let me tell you that I don't let

477
00:25:04,520 --> 00:25:06,040
Speaker 2: me around the country.

478
00:25:05,800 --> 00:25:08,960
Speaker 5: Just say something I don't want to be talking about, right,

479
00:25:09,440 --> 00:25:11,520
Speaker 5: Donald Trump is out there saying it. It is what

480
00:25:11,600 --> 00:25:15,040
Speaker 5: you continue to let's talk about.

481
00:25:14,640 --> 00:25:15,919
Speaker 2: But you keep talking about it.

482
00:25:16,000 --> 00:25:19,280
Speaker 5: He is out there talking about I'll address it. Lets it.

483
00:25:21,600 --> 00:25:23,439
Speaker 2: Okay, don't say it again. We don't have to say it.

484
00:25:23,960 --> 00:25:26,639
Speaker 2: That's just where it ends. Okay, don't say it again. Okay,

485
00:25:27,119 --> 00:25:31,479
Speaker 2: that's not wow, wow, you will you keep talking about it.

486
00:25:31,560 --> 00:25:34,040
Speaker 1: This is like when like when people have like these

487
00:25:34,480 --> 00:25:39,560
Speaker 1: like terrible relationship moments that like probably have damaged a relationship,

488
00:25:39,600 --> 00:25:42,280
Speaker 1: but one partner is like, well you you keep talking

489
00:25:42,320 --> 00:25:44,280
Speaker 1: about the fact that I was cheating.

490
00:25:44,440 --> 00:25:49,080
Speaker 3: You know, and it's your decision, whether it's your favorite topic.

491
00:25:49,160 --> 00:25:52,600
Speaker 1: It sounds like he's the one fucking.

492
00:25:52,280 --> 00:25:54,440
Speaker 2: Bring I didn't say it to tell him to bring

493
00:25:54,480 --> 00:25:54,719
Speaker 2: it up.

494
00:25:54,760 --> 00:25:56,840
Speaker 1: This is what is coming out of his mouth as

495
00:25:56,840 --> 00:26:00,440
Speaker 1: he again makes his final you know, closing our arguments

496
00:26:00,440 --> 00:26:02,720
Speaker 1: as to why he should be voted for, and he's like, yeah,

497
00:26:02,760 --> 00:26:04,360
Speaker 1: I admire Arnold Palmer's dick.

498
00:26:04,640 --> 00:26:06,800
Speaker 2: Okay, will you vote for me now? Thank you, Mike.

499
00:26:07,240 --> 00:26:10,159
Speaker 3: The argument, by the way, goes on to ultimately be

500
00:26:10,600 --> 00:26:13,560
Speaker 3: shouldn't we give Donald Trump some credit for all the

501
00:26:13,600 --> 00:26:17,680
Speaker 3: parts of the speech that weren't about Arnold Palmer's giant

502
00:26:17,720 --> 00:26:20,240
Speaker 3: dick R or microscopic.

503
00:26:20,320 --> 00:26:23,000
Speaker 1: We don't know, you know what I mean. I still

504
00:26:23,040 --> 00:26:27,120
Speaker 1: want to hold up my gosh. Oh, Mike, it's unbelievable.

505
00:26:27,359 --> 00:26:29,239
Speaker 3: This is just like beautiful. What if it was just

506
00:26:29,240 --> 00:26:31,960
Speaker 3: like a beautiful cock? You know, it couldn't be Yeah.

507
00:26:31,920 --> 00:26:35,199
Speaker 1: And we never know Trump say that, Wow, then they

508
00:26:35,240 --> 00:26:39,479
Speaker 1: would drool folks. And it's like the whole they have

509
00:26:39,520 --> 00:26:42,080
Speaker 1: to lower the bar so much, it's so offensive, even

510
00:26:42,080 --> 00:26:42,479
Speaker 1: more and more.

511
00:26:42,480 --> 00:26:44,760
Speaker 2: It's like, what about the other stuff? He said? Okay,

512
00:26:44,760 --> 00:26:46,040
Speaker 2: do you want to know what else he said?

513
00:26:46,280 --> 00:26:50,840
Speaker 3: He said he could outdrive Arnold Palmer, mean go, he said, yeah,

514
00:26:50,880 --> 00:26:52,560
Speaker 3: he's like when he was the maybe seventy five he

515
00:26:52,800 --> 00:26:55,320
Speaker 3: mind would be a good four or five yards past him.

516
00:26:55,359 --> 00:26:57,560
Speaker 2: Okay, this year pitching yourself.

517
00:26:57,600 --> 00:27:00,840
Speaker 1: Then then he did a casual, you know, brought up

518
00:27:00,880 --> 00:27:03,879
Speaker 1: another potential Logan Act violation by saying he spoke with

519
00:27:03,920 --> 00:27:06,280
Speaker 1: bb net and Yahoo over the weekend of killing of

520
00:27:06,359 --> 00:27:08,600
Speaker 1: Yah Yah sin War and you're like, what he's like?

521
00:27:08,640 --> 00:27:11,479
Speaker 1: I told him he can't listen to Biden and if

522
00:27:11,520 --> 00:27:12,879
Speaker 1: in seed it, and if he did, he wouldn't be

523
00:27:12,880 --> 00:27:14,080
Speaker 1: able to do the things that he did.

524
00:27:14,119 --> 00:27:16,840
Speaker 2: He also said Kamala is a shit vice president. He

525
00:27:16,880 --> 00:27:18,760
Speaker 2: said a lot of fucking nonsense.

526
00:27:18,840 --> 00:27:20,440
Speaker 1: So I mean, Mike Johnson, do you want to talk

527
00:27:20,440 --> 00:27:22,280
Speaker 1: about any of those things too, or just do you

528
00:27:22,359 --> 00:27:23,120
Speaker 1: want to ignore?

529
00:27:23,480 --> 00:27:25,480
Speaker 2: He's like, can we just ignore the other things?

530
00:27:25,480 --> 00:27:28,119
Speaker 3: He said, we just like move along and talk about

531
00:27:28,160 --> 00:27:30,800
Speaker 3: Like here, I have like kind of a cut together,

532
00:27:31,200 --> 00:27:35,000
Speaker 3: auto tuned thing with just various scraps of what he

533
00:27:35,080 --> 00:27:36,320
Speaker 3: said that kind of make.

534
00:27:36,240 --> 00:27:38,480
Speaker 2: It sound coherent, right exactly.

535
00:27:39,119 --> 00:27:43,600
Speaker 3: And somehow that moment was upstaged by a press event

536
00:27:44,520 --> 00:27:49,199
Speaker 3: in which Trump pretended to work at McDonald's, uh, just

537
00:27:49,280 --> 00:27:52,439
Speaker 3: to I think the idea was like to burn Kamala

538
00:27:52,560 --> 00:27:56,320
Speaker 3: Harris for her claims of having actually worked at a McDonald's.

539
00:27:56,480 --> 00:27:57,800
Speaker 2: But I think she did.

540
00:27:57,840 --> 00:28:00,119
Speaker 1: Yeah, right, Well, he has no proof that she did,

541
00:28:00,320 --> 00:28:02,639
Speaker 1: and she says she did. It doesn't seem it doesn't

542
00:28:02,640 --> 00:28:06,280
Speaker 1: seem anyone's like, you know, denying the fact that that happened.

543
00:28:06,280 --> 00:28:10,480
Speaker 2: But keyword here, she actually worked and you at.

544
00:28:10,359 --> 00:28:14,320
Speaker 3: Any point in her life you larped as a fucking

545
00:28:14,840 --> 00:28:18,280
Speaker 3: lost old man who wandered into the back of a McDonald's,

546
00:28:18,520 --> 00:28:21,440
Speaker 3: is what That whole fucking thing looked like, yeah, he

547
00:28:21,560 --> 00:28:27,080
Speaker 3: even manned the drive through, just total like killer photo

548
00:28:27,640 --> 00:28:33,119
Speaker 3: shoot opportunity, very similar. In a just world, this would

549
00:28:33,119 --> 00:28:37,960
Speaker 3: have been just the ben Affleck Super Bowl commercial, not

550
00:28:38,160 --> 00:28:40,480
Speaker 3: a campaign event for a presidential candidate.

551
00:28:40,520 --> 00:28:42,960
Speaker 2: But alas we are where we are.

552
00:28:43,360 --> 00:28:47,280
Speaker 1: Yeah, that whole event was really every single detail like

553
00:28:47,320 --> 00:28:49,200
Speaker 1: makes your eyes water in the bad way.

554
00:28:49,600 --> 00:28:53,600
Speaker 3: Yeah, the restaurant was actually closed. The customers were screened

555
00:28:53,640 --> 00:28:57,520
Speaker 3: by the Secret Service and positioned before his arrival, which

556
00:28:57,560 --> 00:28:59,560
Speaker 3: obviously kind of to be expected.

557
00:28:59,640 --> 00:29:02,680
Speaker 2: Yeah. Also, like this is why.

558
00:29:04,280 --> 00:29:08,920
Speaker 3: Presidential campaigns don't usually do something like this, because you

559
00:29:09,000 --> 00:29:12,520
Speaker 3: can't actually do it, and otherwise it's just a weird

560
00:29:13,200 --> 00:29:17,480
Speaker 3: like transparent photo right exactly, nobody.

561
00:29:17,200 --> 00:29:19,680
Speaker 2: Is going to trust and feel like really shitty with

562
00:29:19,760 --> 00:29:23,160
Speaker 2: your pre screen customers who also couldn't even order food.

563
00:29:23,240 --> 00:29:25,760
Speaker 3: Yeah, they didn't order food, He just they just got

564
00:29:25,800 --> 00:29:27,080
Speaker 3: whatever Trump gave them.

565
00:29:27,440 --> 00:29:29,800
Speaker 1: Yes, yes, I mean I think this is a good

566
00:29:30,040 --> 00:29:32,760
Speaker 1: just example of like how this is Donald Trump's entire

567
00:29:32,800 --> 00:29:36,400
Speaker 1: existence is like just a bunch of setup opportunities for

568
00:29:36,480 --> 00:29:40,640
Speaker 1: him to pretend that he contributes fucking anything. Okay, oh yeah,

569
00:29:40,640 --> 00:29:43,160
Speaker 1: and go there. You won't even have to actually work,

570
00:29:43,200 --> 00:29:45,760
Speaker 1: You just touch the gross stuff the poor people, dude

571
00:29:45,800 --> 00:29:48,480
Speaker 1: as they toil, and then you can leave after forty

572
00:29:48,560 --> 00:29:50,800
Speaker 1: five minutes or an hour, however fucking long he was there.

573
00:29:50,920 --> 00:29:53,000
Speaker 1: I'm surprised, like the customers, like they didn't go as

574
00:29:53,000 --> 00:29:54,840
Speaker 1: far as be like, yeah, they weren't even customers. There's

575
00:29:54,880 --> 00:29:56,600
Speaker 1: just like his own staff and a bunch of rental

576
00:29:56,600 --> 00:30:00,520
Speaker 1: cars just doing the loop around and dressing like actual people.

577
00:30:00,640 --> 00:30:03,960
Speaker 3: But I'm sure they got like some very wealthy people

578
00:30:04,000 --> 00:30:06,640
Speaker 3: to like poney up a bunch of money to be,

579
00:30:06,440 --> 00:30:10,200
Speaker 3: to be, to have the good fortune.

580
00:30:11,080 --> 00:30:11,600
Speaker 2: Yeah.

581
00:30:11,720 --> 00:30:14,200
Speaker 3: He he loves to give fast food out like this.

582
00:30:14,840 --> 00:30:17,440
Speaker 3: That is that is his love language, as we saw

583
00:30:17,560 --> 00:30:23,200
Speaker 3: when the college football championship winning team went to the

584
00:30:23,200 --> 00:30:26,400
Speaker 3: White House and he just served them all like big

585
00:30:26,480 --> 00:30:30,880
Speaker 3: holes and McDonald's in a room that just must have

586
00:30:31,000 --> 00:30:34,480
Speaker 3: smelled like when it started, it must have smelled like farts.

587
00:30:34,680 --> 00:30:36,280
Speaker 2: And then holy shit.

588
00:30:37,120 --> 00:30:39,520
Speaker 1: Did you see the clip of him trying to work

589
00:30:39,560 --> 00:30:42,440
Speaker 1: the deep fryer like on the fry station. No, there's

590
00:30:42,480 --> 00:30:45,560
Speaker 1: one where this guy who's working there is like trying

591
00:30:45,640 --> 00:30:47,440
Speaker 1: to show him like and then you like submerge the

592
00:30:47,480 --> 00:30:48,680
Speaker 1: basket into the fryar.

593
00:30:49,520 --> 00:30:52,200
Speaker 2: And Trump looked so lost.

594
00:30:52,040 --> 00:30:54,480
Speaker 1: Trying to do it, and then there's a moment where

595
00:30:54,480 --> 00:30:57,600
Speaker 1: like the fries are coming out and like the guys

596
00:30:57,600 --> 00:30:58,880
Speaker 1: like showed him like and then you and then you

597
00:30:58,960 --> 00:31:01,040
Speaker 1: kind of assault them and Trump put I think he

598
00:31:01,040 --> 00:31:03,080
Speaker 1: puts like way too much so because I goes, oh, okay,

599
00:31:03,320 --> 00:31:05,240
Speaker 1: like you.

600
00:31:05,240 --> 00:31:05,680
Speaker 2: Just don't know.

601
00:31:05,840 --> 00:31:07,480
Speaker 1: You're not gonna be like, oh no, not like that.

602
00:31:07,520 --> 00:31:10,240
Speaker 1: But it's like someone who like, you know, higher status,

603
00:31:10,240 --> 00:31:11,360
Speaker 1: you have to just be like, well, I'm not going

604
00:31:11,400 --> 00:31:12,000
Speaker 1: to point that out.

605
00:31:12,040 --> 00:31:16,719
Speaker 2: I'll just present He's like, bring this one up.

606
00:31:17,760 --> 00:31:21,440
Speaker 1: Okay, he's lifting a fryer out, he's shaking him out.

607
00:31:21,920 --> 00:31:23,840
Speaker 2: Good for you, Donald killing.

608
00:31:23,880 --> 00:31:27,440
Speaker 1: He's gonna bring it over so dump them there, and

609
00:31:27,560 --> 00:31:30,760
Speaker 1: he's dumping them in into the under the heat lamp.

610
00:31:32,240 --> 00:31:34,920
Speaker 2: But this salt part is funny. He just goes right

611
00:31:35,960 --> 00:31:38,280
Speaker 2: it right up there. Yeah, and then do you want

612
00:31:38,280 --> 00:31:39,200
Speaker 2: to do this over here?

613
00:31:39,440 --> 00:31:39,640
Speaker 4: Yeah?

614
00:31:40,960 --> 00:31:42,800
Speaker 2: You got to do that one right there, so grab that.

615
00:31:43,000 --> 00:31:48,000
Speaker 2: Give him extra no ye because here he went over

616
00:31:50,200 --> 00:31:52,600
Speaker 2: all right. Well, luckily these people are fucking paying.

617
00:31:52,320 --> 00:31:55,400
Speaker 1: For this ship so they can deal with their hypertension

618
00:31:55,400 --> 00:31:58,040
Speaker 1: and whatever they whatever way they choose.

619
00:31:58,160 --> 00:32:00,960
Speaker 3: That does highlight one of my favorite things about Fast

620
00:32:01,000 --> 00:32:04,520
Speaker 3: food restaurants these days. Is that they all sound identical

621
00:32:04,640 --> 00:32:08,719
Speaker 3: to like an intensive care unit. Yeah, because yeah, the

622
00:32:08,760 --> 00:32:11,600
Speaker 3: friar like lets off an alarm that like all of

623
00:32:11,600 --> 00:32:14,720
Speaker 3: the employees are completely anerged too, after like their second

624
00:32:14,800 --> 00:32:17,520
Speaker 3: day on the job, and so it just sounds like

625
00:32:17,880 --> 00:32:20,400
Speaker 3: a life support system. My son and I go to

626
00:32:20,840 --> 00:32:25,040
Speaker 3: a veggie grill every Sunday and spend like an hour

627
00:32:25,120 --> 00:32:26,400
Speaker 3: there and it's just working.

628
00:32:27,440 --> 00:32:28,600
Speaker 2: Yeah, and he's working the friars.

629
00:32:28,600 --> 00:32:30,640
Speaker 3: We get behind the desk, you know, but behind the

630
00:32:30,680 --> 00:32:33,040
Speaker 3: counter and just get her hands dirty.

631
00:32:33,240 --> 00:32:36,360
Speaker 1: You're gonna love this buffalo cauliflower, folks, you gotta love it.

632
00:32:37,000 --> 00:32:38,720
Speaker 3: But yeah, I think that's a really good point though,

633
00:32:38,800 --> 00:32:42,880
Speaker 3: Like this is who he is, Like he's been a

634
00:32:42,920 --> 00:32:47,040
Speaker 3: professional spokesmodel for an extremely long time.

635
00:32:47,160 --> 00:32:48,239
Speaker 2: Like he's is.

636
00:32:48,720 --> 00:32:52,840
Speaker 3: The way he was making his money primarily from the

637
00:32:52,880 --> 00:32:58,040
Speaker 3: Apprentice on was by lending his name to products, letting

638
00:32:58,080 --> 00:33:01,640
Speaker 3: people license his name, and then he just kind of

639
00:33:01,960 --> 00:33:06,800
Speaker 3: stands there, which also is kind of the ideal Republican president.

640
00:33:06,920 --> 00:33:09,520
Speaker 3: Like I feel like that's what Reagan was, was just

641
00:33:09,560 --> 00:33:13,960
Speaker 3: like an empty suit who the Republican operatives were able

642
00:33:14,000 --> 00:33:17,600
Speaker 3: to just like kind of hide behind and get their.

643
00:33:19,080 --> 00:33:20,360
Speaker 2: Shit done.

644
00:33:20,280 --> 00:33:23,440
Speaker 1: Yeah, so you're our neocon death puppet. Now let us

645
00:33:23,440 --> 00:33:24,520
Speaker 1: work your little strings.

646
00:33:24,800 --> 00:33:30,960
Speaker 3: Yeah exactly, but yeah, it should probably go without saying.

647
00:33:30,960 --> 00:33:35,120
Speaker 3: But just to confirm Trump's first term made things way

648
00:33:35,160 --> 00:33:39,520
Speaker 3: worse for fast food workers, specifically McDonald's workers, Like they

649
00:33:39,600 --> 00:33:42,880
Speaker 3: forced a settlement with McDonald's and its workers in a

650
00:33:42,960 --> 00:33:45,520
Speaker 3: dispute over unfair labor practices.

651
00:33:45,800 --> 00:33:51,560
Speaker 6: So huh, which, yeah, it seems like as he like

652
00:33:51,760 --> 00:33:55,240
Speaker 6: he was taking questions from the press through the drive

653
00:33:55,280 --> 00:33:58,000
Speaker 6: through window, obviously another photo op, and then one just

654
00:33:58,240 --> 00:34:00,760
Speaker 6: bluntly he's like, yeah, what about raising the federal minimum

655
00:34:00,800 --> 00:34:03,760
Speaker 6: wage before that, because it hasn't happened in a long time,

656
00:34:03,800 --> 00:34:06,280
Speaker 6: And he's like then just pivoted off to something like

657
00:34:06,480 --> 00:34:09,680
Speaker 6: completely didn't answer it, and the entire like gaggle of

658
00:34:09,800 --> 00:34:10,520
Speaker 6: reporters go.

659
00:34:10,560 --> 00:34:11,960
Speaker 2: What about the minimum wage?

660
00:34:11,960 --> 00:34:14,280
Speaker 1: He just like turned his body to like a probably

661
00:34:14,440 --> 00:34:17,480
Speaker 1: conservative newest person to be like, how hard were you

662
00:34:17,520 --> 00:34:20,680
Speaker 1: working today, mister president. Oh my gosh, your forearms must

663
00:34:20,680 --> 00:34:24,719
Speaker 1: be fucking just stinging from all that work you did.

664
00:34:24,840 --> 00:34:28,760
Speaker 2: So good. Oh my goodness, these I've never had fries

665
00:34:28,800 --> 00:34:31,600
Speaker 2: this good, mister president. These are so cool. I'm like

666
00:34:31,640 --> 00:34:35,200
Speaker 2: I'm seeing streaks of light as I eat them. But I, oh,

667
00:34:35,400 --> 00:34:35,759
Speaker 2: I don't know.

668
00:34:36,640 --> 00:34:41,120
Speaker 3: My face is visibly shriveling as I eat these holy sweating.

669
00:34:41,320 --> 00:34:44,279
Speaker 3: I think I just mummified to the right side of

670
00:34:44,280 --> 00:34:48,120
Speaker 3: my face somehow eating one of these fries. All right,

671
00:34:48,239 --> 00:34:50,600
Speaker 3: let's take a quick break and we'll come back. We'll

672
00:34:50,640 --> 00:34:53,680
Speaker 3: talk to Ela Musk, we'll talk other stories that happen

673
00:34:53,719 --> 00:35:05,920
Speaker 3: over the weekend. We'll be right back, and we're back.

674
00:35:06,040 --> 00:35:06,600
Speaker 2: We're back.

675
00:35:06,880 --> 00:35:12,120
Speaker 3: And so Elon just announced that his pack will give

676
00:35:12,160 --> 00:35:15,720
Speaker 3: away one million dollars every day to a registered voter

677
00:35:15,840 --> 00:35:20,240
Speaker 3: who signs his pro Trump petition in swing states only.

678
00:35:21,600 --> 00:35:25,640
Speaker 3: So he's basically turning voting into a game show in

679
00:35:25,760 --> 00:35:28,800
Speaker 3: order to ensure that Trump supporters are all registered to vote.

680
00:35:30,520 --> 00:35:33,000
Speaker 1: I like he's doesn't just feel like a little too little,

681
00:35:33,160 --> 00:35:36,799
Speaker 1: Like we're fifteen days out, Yeah you know what I mean?

682
00:35:36,840 --> 00:35:38,920
Speaker 2: Like, I guess you're just turning the volume up that

683
00:35:39,120 --> 00:35:39,640
Speaker 2: quick now.

684
00:35:39,680 --> 00:35:41,640
Speaker 1: I mean, like you could have been doing this for

685
00:35:41,640 --> 00:35:43,600
Speaker 1: a month if this was really about voter I don't

686
00:35:43,600 --> 00:35:44,840
Speaker 1: know what I don't I don't even know what the

687
00:35:44,840 --> 00:35:45,840
Speaker 1: fuck this is about anymore.

688
00:35:45,840 --> 00:35:48,560
Speaker 2: It's like so absurd looking. I don't even know how

689
00:35:48,560 --> 00:35:49,840
Speaker 2: to wrap my head around this.

690
00:35:50,239 --> 00:35:53,200
Speaker 3: But he does like to just step into a situation

691
00:35:53,640 --> 00:35:58,120
Speaker 3: when it's too later. He's completely around his depths, right,

692
00:35:59,120 --> 00:36:01,000
Speaker 3: I mean his super has been.

693
00:36:02,440 --> 00:36:05,360
Speaker 1: Boy, they've been working away, they've been working at anytime

694
00:36:05,680 --> 00:36:07,760
Speaker 1: like very you know, I don't I don't.

695
00:36:07,600 --> 00:36:12,359
Speaker 3: Always trust political operatives and political strategists, but uh, they

696
00:36:12,360 --> 00:36:16,520
Speaker 3: seem to uniformly be like they suck it like his

697
00:36:16,520 --> 00:36:19,239
Speaker 3: his uh super pack. Like one of the things they've

698
00:36:19,280 --> 00:36:23,320
Speaker 3: been seen spending money on is just ads on Facebook

699
00:36:23,360 --> 00:36:26,080
Speaker 3: that are just screen caps of Elon musk tweets.

700
00:36:27,880 --> 00:36:31,200
Speaker 2: So there's just like trying to make him feel good

701
00:36:31,239 --> 00:36:32,120
Speaker 2: about himself.

702
00:36:32,440 --> 00:36:34,200
Speaker 1: Hey, Elon, do you want to do an ad where

703
00:36:34,239 --> 00:36:37,040
Speaker 1: you express your concerns like on camera to people so

704
00:36:37,040 --> 00:36:37,520
Speaker 1: they connect.

705
00:36:37,880 --> 00:36:40,759
Speaker 2: No, just put up one of my old tweets on my.

706
00:36:40,760 --> 00:36:48,120
Speaker 3: Tweets are actually lull copters, so raffel I actually don't

707
00:36:48,160 --> 00:36:52,319
Speaker 3: know the same, but oh my god, uh yeah, and

708
00:36:52,920 --> 00:36:55,160
Speaker 3: I don't know he's literally paying them off with giant

709
00:36:55,200 --> 00:36:58,440
Speaker 3: novelty checks. Our writer Jam said, this is the kind

710
00:36:58,520 --> 00:37:02,560
Speaker 3: of shit that plays on TV. In the background of RoboCup.

711
00:37:03,960 --> 00:37:05,280
Speaker 2: Behind a big American flag.

712
00:37:05,320 --> 00:37:09,920
Speaker 3: American flag, Yeah, giant American flag woman in a Trump

713
00:37:10,480 --> 00:37:14,279
Speaker 3: T shirt holding the check above her head just with

714
00:37:14,440 --> 00:37:19,240
Speaker 3: like gaping smile. Yeah, this is we should have mentioned

715
00:37:19,239 --> 00:37:23,719
Speaker 3: this is uh transparently like very illegal.

716
00:37:24,120 --> 00:37:27,040
Speaker 2: Yeah yeah yeah, yeah yeah yeah.

717
00:37:27,120 --> 00:37:31,880
Speaker 3: Like Joshapiro, who obviously is a Democrat but you know,

718
00:37:32,160 --> 00:37:36,760
Speaker 3: has a legal background, pointed out that this is, uh,

719
00:37:36,800 --> 00:37:40,800
Speaker 3: you're you're not allowed to offer cash prizes only to

720
00:37:40,920 --> 00:37:45,080
Speaker 3: register voters. Uh, it's basically bribing people to register to vote,

721
00:37:45,120 --> 00:37:48,400
Speaker 3: which is punishable by up to five years in prison.

722
00:37:48,880 --> 00:37:51,080
Speaker 3: But yeah, I wonder and Elon Musk is really going

723
00:37:51,120 --> 00:37:51,840
Speaker 3: to go to prison.

724
00:37:52,840 --> 00:37:54,880
Speaker 1: Well it's funny because you know, like there was that

725
00:37:54,960 --> 00:37:57,200
Speaker 1: clip when he was on Tucker Carlson, like he was

726
00:37:57,200 --> 00:37:59,239
Speaker 1: talking with Tucker Carlson and he's like, oh my god,

727
00:37:59,239 --> 00:38:02,520
Speaker 1: if Kamala wins, like I'm fucked. Yeah yeah, and that

728
00:38:03,120 --> 00:38:04,759
Speaker 1: well some people he's like he's like, I'm going to

729
00:38:04,800 --> 00:38:06,680
Speaker 1: go to jail or whatever. Like I don't know, maybe

730
00:38:06,719 --> 00:38:09,160
Speaker 1: I don't know if all dreams can happen for everyone

731
00:38:09,280 --> 00:38:12,440
Speaker 1: so quickly, but I think it does show that he

732
00:38:12,560 --> 00:38:16,440
Speaker 1: understands that he will he can only flourish under someone

733
00:38:16,560 --> 00:38:19,200
Speaker 1: like a like a Trump in office versus other people

734
00:38:19,200 --> 00:38:21,560
Speaker 1: who are like maybe actually looking at what he's doing,

735
00:38:21,600 --> 00:38:24,960
Speaker 1: his illegal behavior all of that. Yeah, because like this

736
00:38:25,080 --> 00:38:27,880
Speaker 1: is even if it's like giving it away for the

737
00:38:28,080 --> 00:38:30,480
Speaker 1: like what they call like a lottery chance at winning

738
00:38:30,520 --> 00:38:35,400
Speaker 1: something that is still considered like up completely beyond the pale.

739
00:38:35,960 --> 00:38:40,320
Speaker 3: Right now, Like sweepstakes are generally like legally fraught. Like

740
00:38:40,640 --> 00:38:43,880
Speaker 3: so yeah, I feel like they're just hiding behind that.

741
00:38:44,000 --> 00:38:47,880
Speaker 3: But I just hope he has good legal representation because man,

742
00:38:48,040 --> 00:38:49,120
Speaker 3: this could be bad for him.

743
00:38:49,400 --> 00:38:51,719
Speaker 1: Oh yeah, I hope it's a good legal representation because

744
00:38:51,760 --> 00:38:52,719
Speaker 1: you know this d o J.

745
00:38:52,960 --> 00:38:55,560
Speaker 2: Is going to do something about it, right, Yeah.

746
00:38:55,600 --> 00:38:57,600
Speaker 1: I'm like that's the part I'm really thinking about it

747
00:38:57,680 --> 00:38:59,400
Speaker 1: is like, is will anything come of this?

748
00:38:59,560 --> 00:39:01,840
Speaker 2: Like everyone is pointing to like statutes.

749
00:39:01,840 --> 00:39:04,000
Speaker 1: I mean like this is clearly violating that, and it's

750
00:39:04,040 --> 00:39:06,640
Speaker 1: like I don't know, man, maybe I'll do with it

751
00:39:06,640 --> 00:39:08,040
Speaker 1: after depends on who's president.

752
00:39:08,320 --> 00:39:11,239
Speaker 2: Sorry, folks, it's I'm just trying to get We're just

753
00:39:11,239 --> 00:39:12,200
Speaker 2: trying to get to election day.

754
00:39:12,239 --> 00:39:12,399
Speaker 4: Man.

755
00:39:13,280 --> 00:39:17,640
Speaker 3: I got a lot of tables. Man, look at these cuttlefish. Uh,

756
00:39:17,719 --> 00:39:20,880
Speaker 3: it's interesting. So I was listening to an episode of

757
00:39:20,920 --> 00:39:23,160
Speaker 3: on the Media. They were pointing out that the five

758
00:39:23,200 --> 00:39:27,640
Speaker 3: biggest individual donors in this election cycle gave to conservative causes,

759
00:39:27,880 --> 00:39:30,840
Speaker 3: which is the first time that's ever happened, which I

760
00:39:30,840 --> 00:39:33,239
Speaker 3: assume I would have assumed that would happen all the time.

761
00:39:33,280 --> 00:39:36,439
Speaker 3: But if you think about like Elon Musk probably eight

762
00:39:36,520 --> 00:39:39,759
Speaker 3: years ago, was not like an out and out like

763
00:39:39,920 --> 00:39:44,640
Speaker 3: right wing character like it, it feels like things are

764
00:39:45,800 --> 00:39:51,399
Speaker 3: accelerating in the direction of like a class war being

765
00:39:51,440 --> 00:39:53,799
Speaker 3: waged by like the billionaire class on the rest of

766
00:39:53,880 --> 00:39:56,680
Speaker 3: us that like it's just it's happened.

767
00:39:56,840 --> 00:40:00,640
Speaker 2: We've just accepted it as like, yeah, of course that's happened. Yeah,

768
00:40:00,680 --> 00:40:04,160
Speaker 2: of course that's what they'll do. But and yeah, yeah,

769
00:40:04,200 --> 00:40:05,160
Speaker 2: like I don't know.

770
00:40:05,200 --> 00:40:07,160
Speaker 3: It reminds me of the Business Plot, where like the

771
00:40:07,239 --> 00:40:09,960
Speaker 3: richest people in America tried to overthrow the government and

772
00:40:10,000 --> 00:40:14,279
Speaker 3: install a fascist military dictator like during FDR's administration.

773
00:40:14,400 --> 00:40:17,399
Speaker 2: Mm hmmm. And it feels like as we.

774
00:40:17,360 --> 00:40:20,640
Speaker 3: Get closer and closer to like the possibility of outright

775
00:40:20,800 --> 00:40:26,440
Speaker 3: fascism and authoritarianism with Trump, like the billionaires, the richest

776
00:40:26,440 --> 00:40:28,439
Speaker 3: people in the country are like stepping.

777
00:40:28,200 --> 00:40:31,560
Speaker 2: Up and being like, yeah, I mean, of course, please

778
00:40:31,640 --> 00:40:32,640
Speaker 2: protect my money.

779
00:40:32,800 --> 00:40:34,880
Speaker 1: I mean, because everyone's like coming out of the fucking

780
00:40:35,160 --> 00:40:39,600
Speaker 1: crypt the whole crypto industry also just being like sorry, folks, yeah,

781
00:40:40,280 --> 00:40:42,960
Speaker 1: we kind of we need this to work for us,

782
00:40:43,320 --> 00:40:46,120
Speaker 1: and here's all this money to sway it. And it's

783
00:40:46,120 --> 00:40:49,319
Speaker 1: it's also interesting too, like America pack his pack like

784
00:40:49,440 --> 00:40:52,640
Speaker 1: it was also yeah, Elon Musk's pack was just all

785
00:40:52,800 --> 00:40:56,560
Speaker 1: these other top huge MAGA donors could just dump their

786
00:40:56,560 --> 00:41:00,560
Speaker 1: own money into it. Musk has given seventy five million

787
00:41:00,640 --> 00:41:03,560
Speaker 1: to this committee so far. But the other thing that

788
00:41:03,600 --> 00:41:05,239
Speaker 1: is really interesting. A lot of people have talked about

789
00:41:05,239 --> 00:41:09,040
Speaker 1: how the Trump campaign has been really bad with like

790
00:41:09,080 --> 00:41:11,279
Speaker 1: their ground game, like they are not really doing any

791
00:41:11,400 --> 00:41:15,600
Speaker 1: kind of real the proper voter turnout kind of initiatives

792
00:41:15,640 --> 00:41:17,920
Speaker 1: that you'd see most presidential campaigns, or they're like or

793
00:41:17,960 --> 00:41:20,480
Speaker 1: they're emphasizing some places at the total expense of other

794
00:41:20,520 --> 00:41:24,600
Speaker 1: really competitive states. And in this article is saying America

795
00:41:24,600 --> 00:41:26,920
Speaker 1: Back has formed a crucial part of the Trump campaign's

796
00:41:26,960 --> 00:41:29,600
Speaker 1: ground game and is running major canvassing and get out

797
00:41:29,640 --> 00:41:32,160
Speaker 1: the vote initiatives in swing states that could impact the election,

798
00:41:32,239 --> 00:41:36,160
Speaker 1: including Pennsylvania. So it's almost like Elon was seeing, or

799
00:41:36,320 --> 00:41:39,120
Speaker 1: these other donors are seeing like, oh, man, like we

800
00:41:39,120 --> 00:41:40,839
Speaker 1: can't just give him money, like we actually need to

801
00:41:40,880 --> 00:41:44,120
Speaker 1: like help in these other ways to actually help turn

802
00:41:44,239 --> 00:41:47,200
Speaker 1: votes out. And yeah, so now you do is you

803
00:41:47,200 --> 00:41:49,880
Speaker 1: you have to vow to vote for the first and

804
00:41:50,000 --> 00:41:52,279
Speaker 1: second Amendment. That's how they're coding it to be like

805
00:41:52,280 --> 00:41:55,440
Speaker 1: you're going to vote for Trump. But hey, Kamala has

806
00:41:55,480 --> 00:41:58,600
Speaker 1: a glock, so you know you should still take the money.

807
00:41:58,719 --> 00:42:00,719
Speaker 1: You can still take the money, you know, or do

808
00:42:00,760 --> 00:42:01,359
Speaker 1: whatever you want.

809
00:42:01,719 --> 00:42:06,160
Speaker 3: Yeah, I mean she like it feels like the wealthies

810
00:42:06,640 --> 00:42:12,400
Speaker 3: hold over our political process was more of a you know,

811
00:42:13,040 --> 00:42:16,960
Speaker 3: discussion point in twenty twenty and more even more of

812
00:42:17,040 --> 00:42:20,360
Speaker 3: one in twenty sixteen. But it just feels like we're

813
00:42:20,600 --> 00:42:24,120
Speaker 3: getting to a place where, yeah, the wealthy just have

814
00:42:24,320 --> 00:42:28,640
Speaker 3: After Citizens United, this was kind of inevitable. The more

815
00:42:28,680 --> 00:42:33,640
Speaker 3: money they have, the more they're able to wield power.

816
00:42:33,800 --> 00:42:36,400
Speaker 3: The more power they wield, the more money they're able

817
00:42:36,480 --> 00:42:38,319
Speaker 3: to steal, you.

818
00:42:38,280 --> 00:42:40,520
Speaker 2: Know, by evading taxes.

819
00:42:40,920 --> 00:42:43,960
Speaker 3: And it's just like we're over a decade into this

820
00:42:44,040 --> 00:42:48,120
Speaker 3: vicious cycle and they're on the verge of like having

821
00:42:48,160 --> 00:42:51,880
Speaker 3: a legitimate shot at installing a dictator, which is like

822
00:42:52,160 --> 00:42:54,840
Speaker 3: if you just look at the extremely wealthy in America

823
00:42:54,920 --> 00:42:59,160
Speaker 3: as like a continuous like organism from early twentieth century

824
00:42:59,239 --> 00:43:02,839
Speaker 3: like Gilded Age like up to today, like that's kind

825
00:43:02,880 --> 00:43:06,640
Speaker 3: of what they've always wanted, right, And then like Trump.

826
00:43:06,719 --> 00:43:09,960
Speaker 3: Trump had a meeting with fossil fuel executives where he

827
00:43:10,080 --> 00:43:12,359
Speaker 3: was like, get me a billion dollars and I'll get

828
00:43:12,400 --> 00:43:14,360
Speaker 3: you whatever you need.

829
00:43:14,640 --> 00:43:15,799
Speaker 2: I think that's a direct.

830
00:43:15,920 --> 00:43:18,360
Speaker 3: Get me a billion and I'll get you whatever you

831
00:43:18,480 --> 00:43:20,120
Speaker 3: need right to quote.

832
00:43:20,200 --> 00:43:22,360
Speaker 1: And they're even like, grow dude, we don't even we

833
00:43:22,400 --> 00:43:26,480
Speaker 1: don't even say it like that, man, but thanks, well,

834
00:43:26,840 --> 00:43:29,839
Speaker 1: we'll think about it. The other thing is like you know,

835
00:43:30,120 --> 00:43:33,520
Speaker 1: as we see this like aging Trump, you hear more

836
00:43:33,560 --> 00:43:37,480
Speaker 1: and more rumblings about like what the actual administration maybe

837
00:43:37,600 --> 00:43:40,760
Speaker 1: or not be, which is does Trump even have the energy?

838
00:43:40,880 --> 00:43:43,879
Speaker 1: Like he's falling asleep at shit already, right, he has

839
00:43:43,960 --> 00:43:48,200
Speaker 1: no energy. He's canceling all these fucking events. And you

840
00:43:48,280 --> 00:43:51,959
Speaker 1: see someone like JD. Vance, who is like handpicked by

841
00:43:52,520 --> 00:43:55,239
Speaker 1: the Silicon Valley donor class, and they're kind of.

842
00:43:55,200 --> 00:43:56,719
Speaker 2: Like, here, here, my hare might be the thing.

843
00:43:57,160 --> 00:44:00,680
Speaker 1: Maybe if they win, you can pardoned the Trump like

844
00:44:01,000 --> 00:44:04,279
Speaker 1: he'll he'll resign and then you're president and then you

845
00:44:04,360 --> 00:44:08,000
Speaker 1: can pardon him and then we have a much younger,

846
00:44:09,000 --> 00:44:12,640
Speaker 1: willing and able bodied person to to really to really

847
00:44:12,680 --> 00:44:13,399
Speaker 1: fuck things up.

848
00:44:13,440 --> 00:44:16,080
Speaker 3: So well, yeah, I mean I think they just like

849
00:44:16,440 --> 00:44:19,319
Speaker 3: haul him out as long as he's alive, you know,

850
00:44:19,800 --> 00:44:22,400
Speaker 3: they're just going to do what they did with Reagan,

851
00:44:22,640 --> 00:44:27,440
Speaker 3: you know, like Reagan. Reagan's second uh ah, said Semester.

852
00:44:27,680 --> 00:44:33,279
Speaker 3: Reagan's second administration, second term was like he didn't he

853
00:44:33,400 --> 00:44:36,000
Speaker 3: was like invisible, Like he was behind the scenes for

854
00:44:36,040 --> 00:44:39,759
Speaker 3: most of it because they were hiding him because he

855
00:44:40,040 --> 00:44:43,560
Speaker 3: was declining. But he was able to get a lot

856
00:44:43,600 --> 00:44:46,960
Speaker 3: of damage done, you know, despite the fact that even

857
00:44:47,000 --> 00:44:49,960
Speaker 3: from the start he was like, don't give me briefings

858
00:44:49,960 --> 00:44:51,640
Speaker 3: that are more than a paragraph.

859
00:44:52,000 --> 00:44:54,799
Speaker 2: You know. He was just like I'll kind of leave

860
00:44:54,840 --> 00:44:55,879
Speaker 2: it up to everybody else.

861
00:44:56,400 --> 00:44:59,960
Speaker 3: But yeah, I just I don't know, like they're they're

862
00:45:00,000 --> 00:45:03,359
Speaker 3: there is a hopefulness in the sense of, like it

863
00:45:03,400 --> 00:45:06,560
Speaker 3: doesn't have to be like this. There there's such a

864
00:45:06,800 --> 00:45:13,480
Speaker 3: clear problem with like the power that the wealthy wheeled

865
00:45:13,760 --> 00:45:17,160
Speaker 3: over the system. But it's just like during the Civil

866
00:45:17,160 --> 00:45:20,719
Speaker 3: War there was no tax on income like that that

867
00:45:20,880 --> 00:45:23,560
Speaker 3: was the thing that like people had to fight for.

868
00:45:23,800 --> 00:45:27,200
Speaker 3: So like there are these instances of like progress that

869
00:45:27,280 --> 00:45:31,480
Speaker 3: have been made, these battles that are won by working

870
00:45:31,520 --> 00:45:35,360
Speaker 3: class people over like billionaires, but they just kind of

871
00:45:35,400 --> 00:45:39,680
Speaker 3: get written out of the historical record and instead, you know,

872
00:45:40,239 --> 00:45:45,080
Speaker 3: we name buildings after the billionaires that were fighting against that.

873
00:45:45,680 --> 00:45:49,560
Speaker 1: It's just so much easier for like American discourse to

874
00:45:49,600 --> 00:45:51,880
Speaker 1: be like, well, what's wrong with these poor people?

875
00:45:51,920 --> 00:45:53,759
Speaker 2: And why are they on drugs? And to be like,

876
00:45:53,840 --> 00:45:54,680
Speaker 2: how come like.

877
00:45:55,080 --> 00:45:58,560
Speaker 1: There there's like eight people who's if you combined all

878
00:45:58,600 --> 00:46:00,960
Speaker 1: their wealth, they have more wealth than fucking everybody, like

879
00:46:01,320 --> 00:46:03,520
Speaker 1: half the planet or some shit, you.

880
00:46:03,440 --> 00:46:06,279
Speaker 2: Know, like that, The conversations need to be around that.

881
00:46:06,400 --> 00:46:10,720
Speaker 1: But again, class consciousness in this country is not easy

882
00:46:10,760 --> 00:46:13,279
Speaker 1: to come by these days, especially now when you have

883
00:46:13,360 --> 00:46:16,839
Speaker 1: people like you know, Elon Musk sort of being like, no,

884
00:46:17,040 --> 00:46:19,560
Speaker 1: I'm like you dude, like hang out with me and

885
00:46:19,600 --> 00:46:21,799
Speaker 1: help me and do what do as I say, And

886
00:46:21,840 --> 00:46:25,719
Speaker 1: that's how we'll have a better tomorrow, right, will we?

887
00:46:26,480 --> 00:46:26,600
Speaker 2: No?

888
00:46:27,000 --> 00:46:30,480
Speaker 3: Jeff Bezos barely paid taxes and got a four thousand

889
00:46:30,520 --> 00:46:33,440
Speaker 3: dollars tax credit that was aimed at helping parents who

890
00:46:33,440 --> 00:46:37,359
Speaker 3: are struggling check to check. Like, that's that's where we're at.

891
00:46:37,560 --> 00:46:42,000
Speaker 1: Who is his accountant? Can I get a deal like that?

892
00:46:42,200 --> 00:46:47,000
Speaker 3: He has like an entire massive company's worth of accountants

893
00:46:47,000 --> 00:46:49,360
Speaker 3: like working NonStop to pull shit like that off.

894
00:46:49,400 --> 00:46:53,440
Speaker 2: But look, I pay five million to save three billion. Yeah.

895
00:46:53,520 --> 00:46:57,000
Speaker 3: There's an episode of the podcast search Engine where they

896
00:46:57,120 --> 00:47:01,640
Speaker 3: like interview this pro public reporter who leaked like a

897
00:47:01,719 --> 00:47:05,560
Speaker 3: rogue IRIS agent leaked them all of the text documents

898
00:47:05,600 --> 00:47:09,440
Speaker 3: of like the top five hundred wealthiest people in the country.

899
00:47:09,480 --> 00:47:10,040
Speaker 2: I think it is.

900
00:47:10,480 --> 00:47:16,360
Speaker 3: And yet it's just horrible, like transparent abuses of power,

901
00:47:16,440 --> 00:47:21,320
Speaker 3: abuses of the system that should be enraging, but because

902
00:47:21,320 --> 00:47:25,719
Speaker 3: they're you know, we have a pro wealth, pro capital

903
00:47:25,800 --> 00:47:29,440
Speaker 3: mainstream media, so like those things just kind of get

904
00:47:29,960 --> 00:47:33,880
Speaker 3: washed through and yeah, yeah, so it's a bomber, but

905
00:47:33,960 --> 00:47:37,600
Speaker 3: it is a problem that we have that could be solved.

906
00:47:38,120 --> 00:47:39,000
Speaker 2: Yeah, yep, yep.

907
00:47:39,120 --> 00:47:41,800
Speaker 1: Well, I mean at least we have an American Psycho

908
00:47:41,920 --> 00:47:44,279
Speaker 1: remake that we can look forward to or not.

909
00:47:44,600 --> 00:47:45,400
Speaker 2: I don't know that.

910
00:47:45,640 --> 00:47:48,520
Speaker 3: Yeah, I don't know about this story. It's so there's

911
00:47:48,760 --> 00:47:54,160
Speaker 3: rumors that Luca, why didn't you know is working? That's

912
00:47:54,200 --> 00:47:56,239
Speaker 3: the guy made like call me by your name and

913
00:47:57,040 --> 00:48:01,719
Speaker 3: challengers and whose name I'm probably pronounced. I can't call

914
00:48:01,760 --> 00:48:04,280
Speaker 3: you by your name because I don't.

915
00:48:04,120 --> 00:48:06,320
Speaker 2: Know how to pronounce it guad.

916
00:48:09,600 --> 00:48:14,640
Speaker 3: He so apparently is in talks to remake American Psycho,

917
00:48:15,120 --> 00:48:17,600
Speaker 3: although the studio is stressing that this is a new

918
00:48:17,680 --> 00:48:21,319
Speaker 3: adaptation of the book by Brett Easton ellis not a

919
00:48:21,360 --> 00:48:25,880
Speaker 3: remake of Mary Heron's film starring Christian Bale, which is

920
00:48:25,920 --> 00:48:30,680
Speaker 3: a classic. That is probably the movie that I've seen

921
00:48:30,719 --> 00:48:34,680
Speaker 3: the most. People just missed the point of so so drastically.

922
00:48:35,760 --> 00:48:40,360
Speaker 1: Be like, dude, Patrick Bateman is so fucking dope. Dude,

923
00:48:41,080 --> 00:48:43,440
Speaker 1: that's isn't that that's the name of character.

924
00:48:43,239 --> 00:48:44,400
Speaker 2: Right, yeah, Patrick Bateman?

925
00:48:44,440 --> 00:48:46,120
Speaker 1: Yeah, yeah, Like I know people who I reme in

926
00:48:46,200 --> 00:48:50,720
Speaker 1: the beginning like dude, this guy's fuck, this guy's a machine.

927
00:48:51,080 --> 00:48:53,120
Speaker 2: I was like, bro, I don't that's not what this

928
00:48:53,239 --> 00:48:55,879
Speaker 2: is about. Yeah. Yeah.

929
00:48:55,920 --> 00:48:59,080
Speaker 3: I ended up at one point in college like with

930
00:48:59,160 --> 00:49:03,080
Speaker 3: a you know, lacrosse player at his place and he

931
00:49:03,160 --> 00:49:05,839
Speaker 3: was showing me that and being like, dude, so sick, right,

932
00:49:06,040 --> 00:49:09,040
Speaker 3: like this guy, Oh, I fucking love this part and

933
00:49:09,160 --> 00:49:14,760
Speaker 3: just like the weirdest, the weirdest taste in that movie,

934
00:49:14,760 --> 00:49:16,400
Speaker 3: in particular, the weird they're like I got.

935
00:49:16,280 --> 00:49:21,600
Speaker 1: Into Genesis because of this guy exactly. You're like, oh boy, no, no, no, no, no, the.

936
00:49:21,600 --> 00:49:24,560
Speaker 3: Book has some really funny parts, like where Patrick Babin

937
00:49:24,640 --> 00:49:29,800
Speaker 3: like write the long, deeply thought out reviews of band

938
00:49:30,040 --> 00:49:33,319
Speaker 3: like Genesis and all these things that I don't know.

939
00:49:33,360 --> 00:49:38,000
Speaker 3: I feel like the first movie adaptation like really nailed it.

940
00:49:38,080 --> 00:49:41,160
Speaker 2: I don't. I don't see the need for this. But Jack,

941
00:49:41,239 --> 00:49:44,399
Speaker 2: we're in the age of grinse and repeat and ring

942
00:49:44,440 --> 00:49:47,480
Speaker 2: it out for as much fucking money as possible even

943
00:49:47,520 --> 00:49:50,160
Speaker 2: if it makes no sense, and potentially have already done

944
00:49:50,200 --> 00:49:50,640
Speaker 2: it before.

945
00:49:50,960 --> 00:49:52,960
Speaker 3: And he's a good filmmaker, so I have to assume

946
00:49:53,040 --> 00:49:57,240
Speaker 3: like he sees something in there that's worth taking another

947
00:49:57,560 --> 00:50:03,160
Speaker 3: pass at. But so the big controversy is that there

948
00:50:03,200 --> 00:50:07,239
Speaker 3: are rumors started by a single post on Twitter, so that.

949
00:50:07,239 --> 00:50:10,120
Speaker 1: I think we should take that with a Trump McDonald's

950
00:50:10,120 --> 00:50:11,960
Speaker 1: fries amount.

951
00:50:12,040 --> 00:50:13,000
Speaker 2: Yeah.

952
00:50:12,400 --> 00:50:15,839
Speaker 3: Yeah, Apparently they're going to gender swap the lead role.

953
00:50:16,040 --> 00:50:21,759
Speaker 3: Get ready for Patricia Stateman. Guys, shit, I don't know this.

954
00:50:21,760 --> 00:50:24,319
Speaker 3: This story just like makes me want to go to

955
00:50:24,320 --> 00:50:26,000
Speaker 3: sleep for three years.

956
00:50:26,200 --> 00:50:29,080
Speaker 1: Well, it's also funny because, like for all the tokook,

957
00:50:29,120 --> 00:50:32,080
Speaker 1: this is a reimagining. It's like there was an American

958
00:50:32,200 --> 00:50:34,239
Speaker 1: psycho to gender swap.

959
00:50:33,960 --> 00:50:43,239
Speaker 3: Boogaloo Yeah Girls starring Yeah and Bill Shatner, William Shatner straight.

960
00:50:43,000 --> 00:50:45,960
Speaker 2: The video, y'all exactly. Yeah, I don't know.

961
00:50:46,040 --> 00:50:47,799
Speaker 1: I think I was just reading too about like an

962
00:50:47,840 --> 00:50:50,800
Speaker 1: article about hows like how Hollywood has joined the book club,

963
00:50:51,080 --> 00:50:53,800
Speaker 1: and like again it's like this is the new place

964
00:50:53,840 --> 00:50:56,840
Speaker 1: that studios are just farming for, I like, just trawling

965
00:50:56,880 --> 00:51:01,040
Speaker 1: the IPCs for new stuff that they can do rather

966
00:51:01,160 --> 00:51:03,920
Speaker 1: than you know, pay people for new ideas.

967
00:51:04,000 --> 00:51:06,319
Speaker 2: It's like, can we option this book? Can we option this?

968
00:51:06,360 --> 00:51:07,000
Speaker 2: Can we option that?

969
00:51:07,040 --> 00:51:11,040
Speaker 1: Because it's all very still, very shaky right now in Hollywood.

970
00:51:11,160 --> 00:51:13,320
Speaker 1: Got to say, not a lot happening.

971
00:51:13,920 --> 00:51:18,240
Speaker 2: Compared to pre strikes. So quiet. Yeah, it's it's eerily quiet.

972
00:51:18,239 --> 00:51:20,320
Speaker 1: Like I mean, like I know people who are fully

973
00:51:20,760 --> 00:51:25,759
Speaker 1: changing careers now, like had fantastic careers writing comedy and

974
00:51:25,800 --> 00:51:29,040
Speaker 1: now are considering like completely other different professions and are

975
00:51:29,160 --> 00:51:31,080
Speaker 1: actively like moving towards that, like taking.

976
00:51:30,920 --> 00:51:32,239
Speaker 2: Out I'm a farmer now.

977
00:51:32,480 --> 00:51:35,160
Speaker 1: Yeah yeah, yeah, no, like truly, it's like I don't know,

978
00:51:35,239 --> 00:51:37,080
Speaker 1: like I can't. There's no way you can depend on

979
00:51:37,120 --> 00:51:40,360
Speaker 1: this anymore. And it's true, it's like really it's really

980
00:51:40,400 --> 00:51:42,600
Speaker 1: really bad, and I feel like what's going to happen

981
00:51:42,719 --> 00:51:45,000
Speaker 1: is the lack of work is just going to kind

982
00:51:45,040 --> 00:51:47,640
Speaker 1: of reduce the industry to like those who can like

983
00:51:47,800 --> 00:51:50,520
Speaker 1: just weather the storm and then when it picks back up,

984
00:51:50,560 --> 00:51:52,799
Speaker 1: maybe they will begin to start working again.

985
00:51:52,840 --> 00:51:57,600
Speaker 3: But it's people with generational wealth, so it'll just get Yeah.

986
00:51:57,480 --> 00:52:01,160
Speaker 1: It's all the trust fund writers and yeah director type

987
00:52:01,160 --> 00:52:03,960
Speaker 1: people out there who will be fine, and the others

988
00:52:03,960 --> 00:52:06,600
Speaker 1: will be forced to completely rethink their careers.

989
00:52:06,840 --> 00:52:09,560
Speaker 3: They'll have some interesting takes on how to fix America's

990
00:52:09,600 --> 00:52:10,560
Speaker 3: political system, I bet.

991
00:52:10,840 --> 00:52:11,240
Speaker 2: Yeah.

992
00:52:12,280 --> 00:52:14,640
Speaker 3: All right, well, those are some of the things that

993
00:52:15,200 --> 00:52:19,360
Speaker 3: are trending this Monday morning. We are back tomorrow with

994
00:52:19,440 --> 00:52:22,480
Speaker 3: a whole last episode of the show. Until then, be

995
00:52:22,640 --> 00:52:26,080
Speaker 3: kind to each other, be kind to yourself, get the vaccine,

996
00:52:26,120 --> 00:52:29,000
Speaker 3: get your blue shot, don't do nothing about white supremacy,

997
00:52:29,200 --> 00:52:31,200
Speaker 3: and we will hockey y'all tomorrow.

998
00:52:31,360 --> 00:52:36,560
Speaker 2: Bite bite,