1
00:00:00,480 --> 00:00:03,840
Speaker 1: Hello the Internet, and welcome to Season to sixty four,

2
00:00:04,000 --> 00:00:09,040
Speaker 1: Episode one of Dirt Day. Yeah, it's a production of

3
00:00:09,039 --> 00:00:16,120
Speaker 1: I Heart Radio. What do you say about the white screen?

4
00:00:16,880 --> 00:00:20,000
Speaker 1: They tried to Dean scream again and the marstream media

5
00:00:20,079 --> 00:00:24,920
Speaker 1: has lost their powers of assassination. They couldn't they couldn't

6
00:00:25,000 --> 00:00:29,240
Speaker 1: quite get betterman taken down more like the lame Dean media. Yeah,

7
00:00:29,320 --> 00:00:33,200
Speaker 1: lame Dean media. It was funny because like Howard Dean

8
00:00:33,360 --> 00:00:36,440
Speaker 1: was like this the first outsider candidate and then he

9
00:00:36,560 --> 00:00:38,320
Speaker 1: just like went on to be the head of like

10
00:00:38,440 --> 00:00:41,320
Speaker 1: the d n C. He was like the most the

11
00:00:41,400 --> 00:00:46,320
Speaker 1: most mainstream of democrat. Anyways, Hey Miles, this is a

12
00:00:46,360 --> 00:00:48,199
Speaker 1: podcast where we're taking deep to have a new American's

13
00:00:48,200 --> 00:00:51,319
Speaker 1: share consciousness, is it now? That's fun right? Yeah, I'm

14
00:00:51,360 --> 00:00:56,480
Speaker 1: like that idea. It is Monday, November one, two, first

15
00:00:56,560 --> 00:01:01,720
Speaker 1: day of Black Friday Week. Happy first, Happy first night

16
00:01:01,760 --> 00:01:06,000
Speaker 1: of Black Friday. Thank you, the only holiday we celebrate

17
00:01:06,040 --> 00:01:10,720
Speaker 1: around here. Yeah. It's also a World Television Day. World

18
00:01:10,760 --> 00:01:15,200
Speaker 1: Television went wrong there, World Hello Day, National Gingerbread Cookie Day,

19
00:01:15,800 --> 00:01:19,600
Speaker 1: National Stuffing Day, I can get behind that, and National

20
00:01:19,840 --> 00:01:26,920
Speaker 1: Red Mitten Day for Canadian Olympic Pride. M m I guess, Okay,

21
00:01:27,040 --> 00:01:30,440
Speaker 1: is that really what it is? Yeah? Apparently it's probably

22
00:01:30,440 --> 00:01:34,720
Speaker 1: like some marketing thing because like, how is this I mean, look, no, no,

23
00:01:34,760 --> 00:01:37,600
Speaker 1: shade of Canada. I mean fantastic people, fantastic winter. Looking.

24
00:01:38,400 --> 00:01:42,200
Speaker 1: It wasn't Hello Day very recently or international Hello Jay.

25
00:01:42,319 --> 00:01:45,080
Speaker 1: Probably like there's so many fucking different ones. It's probably

26
00:01:45,080 --> 00:01:47,840
Speaker 1: like national Hello Day. Nationals say Hello Day. You know

27
00:01:47,880 --> 00:01:51,720
Speaker 1: what I mean, Like there's permutations of the name concept,

28
00:01:51,720 --> 00:01:55,800
Speaker 1: which is just engaged with other human beings on planet.

29
00:01:56,440 --> 00:01:58,640
Speaker 1: What if that was like a really fit triolic take

30
00:01:58,720 --> 00:02:01,920
Speaker 1: against the use of the word. They're They're like, no,

31
00:02:02,080 --> 00:02:04,520
Speaker 1: funck Hi, you gotta be the full word. I don't

32
00:02:04,560 --> 00:02:08,000
Speaker 1: get high, I get hello. That's right. My name is

33
00:02:08,120 --> 00:02:11,920
Speaker 1: Jack O'Brien, a k white thigh soggy fries, lace x,

34
00:02:11,960 --> 00:02:15,800
Speaker 1: fixed miles eyes, over rated, under rated guests. There justester

35
00:02:15,960 --> 00:02:20,600
Speaker 1: restated twiddlers, red Vine, sweet tarts, ever Mainard hates farts.

36
00:02:20,720 --> 00:02:24,320
Speaker 1: Liz trust is a Twitter free jack Hsnel on Twitter.

37
00:02:24,639 --> 00:02:29,080
Speaker 1: Kanye West is in saying Christy Yama, Gucci Mane, Subway tune,

38
00:02:29,080 --> 00:02:32,960
Speaker 1: I might have turtles r H C p K. How

39
00:02:33,120 --> 00:02:36,959
Speaker 1: am I get to Lambo? I think that you're a

40
00:02:37,000 --> 00:02:41,560
Speaker 1: tough guy. Ever asked yourself? Why here on the Daily

41
00:02:41,800 --> 00:02:46,919
Speaker 1: Zai Geist, things are pretty great, but it's second rate.

42
00:02:47,280 --> 00:02:51,960
Speaker 1: I rate. I'm ray that's crazy right to post and

43
00:02:52,000 --> 00:02:55,239
Speaker 1: he gave it to me on Twitter, that old, that

44
00:02:55,360 --> 00:03:00,320
Speaker 1: old format still holding strong might no longer exist as

45
00:03:00,400 --> 00:03:03,280
Speaker 1: part of me suspects the whole thing of like Twitter's

46
00:03:03,320 --> 00:03:07,639
Speaker 1: gone tomorrow is a little overblown, but maybe not gonna

47
00:03:07,800 --> 00:03:11,240
Speaker 1: it seems like everyone doesn't work there anymore. We'll remember

48
00:03:11,280 --> 00:03:14,840
Speaker 1: when you get the whale screen back in the day.

49
00:03:14,880 --> 00:03:17,160
Speaker 1: It's gonna be a lot of that to start off.

50
00:03:17,280 --> 00:03:18,720
Speaker 1: You know, I don't think you're gonna go and like

51
00:03:18,760 --> 00:03:21,200
Speaker 1: sudden it's like, oh, your phone doesn't support this app.

52
00:03:22,560 --> 00:03:25,840
Speaker 1: Who knows if he's trying to shield himself bankruptcy, whatever, it's.

53
00:03:26,400 --> 00:03:28,800
Speaker 1: It's a whole fucking mess out there. It's a whole

54
00:03:29,000 --> 00:03:32,280
Speaker 1: fucking mess out there, and I'm thrilled to be joined

55
00:03:32,360 --> 00:03:37,560
Speaker 1: in here by my co host, Mr Miles Miles Gray

56
00:03:37,600 --> 00:03:41,880
Speaker 1: a k A eat the banana from the bottom Turtle

57
00:03:41,960 --> 00:03:45,520
Speaker 1: subway to know has got him? Can't ride a dirigible

58
00:03:45,640 --> 00:03:48,680
Speaker 1: fork free? How are you get to a level? Ghinea

59
00:03:49,280 --> 00:03:52,000
Speaker 1: White Queen that now with skinned bagg Is King and

60
00:03:52,080 --> 00:03:55,280
Speaker 1: in now Frince Rise, no for limping. Go ask that

61
00:03:55,360 --> 00:03:58,600
Speaker 1: punk if he's a tough guy. I'll bet anger management

62
00:03:58,640 --> 00:04:01,120
Speaker 1: made him cry okay out out to Fighter of the

63
00:04:01,200 --> 00:04:05,560
Speaker 1: night Man on the Twitter or no, that's a discord

64
00:04:05,840 --> 00:04:08,600
Speaker 1: for the r h c p K. That's too Fighter

65
00:04:08,640 --> 00:04:10,680
Speaker 1: of the night Man r c p ks. I see

66
00:04:10,680 --> 00:04:13,560
Speaker 1: more in the line. But thank you for that. Oh yeah,

67
00:04:13,680 --> 00:04:17,039
Speaker 1: get ready, get ready, motherfuckers. People I can't stop just

68
00:04:17,080 --> 00:04:20,479
Speaker 1: seems to have the easiest like cann't stop. Yeah, the

69
00:04:20,560 --> 00:04:23,080
Speaker 1: Cadence works people are like, yeah, yeah, I can work

70
00:04:23,080 --> 00:04:25,359
Speaker 1: with that. It's not too offbeat or anything like that.

71
00:04:25,440 --> 00:04:27,680
Speaker 1: So yeah, we found you got the voice down well.

72
00:04:27,839 --> 00:04:29,880
Speaker 1: Miles Weird throwed to be joined in our third seat

73
00:04:29,880 --> 00:04:33,320
Speaker 1: by very funny writer, graphic designer, illustrator, one of the

74
00:04:33,360 --> 00:04:36,800
Speaker 1: funniest stand ups doing it. His album sixteen Bits is

75
00:04:36,800 --> 00:04:40,479
Speaker 1: available wherever fine comedy albums can be streamed. And we

76
00:04:40,520 --> 00:04:43,359
Speaker 1: don't usually do content warnings, but I got a warning you.

77
00:04:43,440 --> 00:04:49,400
Speaker 1: This guy's it's a little twisted. His brain is pretty

78
00:04:49,640 --> 00:04:53,359
Speaker 1: I don't know, it's not like it's not your grandpa's brain.

79
00:04:53,440 --> 00:04:55,400
Speaker 1: This guy's a little I don't know if you've ever

80
00:04:55,440 --> 00:04:58,200
Speaker 1: heard of the joker? This guy's this gout have been

81
00:04:58,320 --> 00:05:05,600
Speaker 1: Joker five. Please welcome brilliant, the talented Stephen Wilbur. Let's

82
00:05:05,640 --> 00:05:10,440
Speaker 1: try nice, try guys, and uh see what you're have

83
00:05:10,560 --> 00:05:12,840
Speaker 1: to do. Pump me up with that whole kilker stuff.

84
00:05:13,560 --> 00:05:16,400
Speaker 1: We want to see how I got these emotional scars.

85
00:05:16,400 --> 00:05:24,640
Speaker 1: Want me to do something fun like that. But it's

86
00:05:24,680 --> 00:05:28,279
Speaker 1: been not too long since I've been on the show,

87
00:05:28,520 --> 00:05:32,360
Speaker 1: and I wonder why that is. You've been You've been

88
00:05:32,400 --> 00:05:35,880
Speaker 1: interrogating us ever since you got on, asking like who dropped? Why?

89
00:05:36,000 --> 00:05:38,880
Speaker 1: Why am I back? Can it just be that we

90
00:05:38,920 --> 00:05:40,960
Speaker 1: really like you. We want the mayor of We want

91
00:05:41,000 --> 00:05:45,000
Speaker 1: the mayor of Rocu City here. I wish, I wish

92
00:05:45,040 --> 00:05:47,480
Speaker 1: it was that simple. I wish I could come in

93
00:05:47,560 --> 00:05:52,000
Speaker 1: here and talk about Roccu, the Roccus City, Abo sity A,

94
00:05:52,040 --> 00:05:54,640
Speaker 1: about sy I wish I could. I wish I could

95
00:05:54,680 --> 00:05:57,400
Speaker 1: do system of the Down parodies. But no. The fact

96
00:05:57,720 --> 00:06:01,640
Speaker 1: is the last time I was on here, we had

97
00:06:01,680 --> 00:06:06,000
Speaker 1: a fun little riff session. About that time Aaron Carter

98
00:06:06,400 --> 00:06:10,640
Speaker 1: beat Shaquille O'Neil at a game about one and then

99
00:06:11,760 --> 00:06:17,239
Speaker 1: a few days later, who passed away? Spoiler. It wasn't

100
00:06:17,320 --> 00:06:22,839
Speaker 1: shock and I don't want to be a part of

101
00:06:22,839 --> 00:06:26,320
Speaker 1: your little like sick audio version of death note where

102
00:06:26,360 --> 00:06:30,720
Speaker 1: I come on and use five powers to eliminate people

103
00:06:30,880 --> 00:06:35,520
Speaker 1: on your poop list. So I'm just gonna I'm just gonna.

104
00:06:35,720 --> 00:06:37,799
Speaker 1: I know I talked a lot already, but I'm just gonna.

105
00:06:37,800 --> 00:06:40,720
Speaker 1: I'm not gonna go anything anywhere. I'm not gonna talk

106
00:06:40,720 --> 00:06:44,200
Speaker 1: about anything. If I talk about anything, it's only gonna

107
00:06:44,200 --> 00:06:50,760
Speaker 1: be about let us just superrated Elvis, underrated Aliyah. Like

108
00:06:50,920 --> 00:06:57,400
Speaker 1: that's what That's what I've people on today's episode evoke

109
00:06:57,520 --> 00:06:59,920
Speaker 1: JFK Jr. Saw the people that went to Deely plot

110
00:07:00,120 --> 00:07:02,640
Speaker 1: again for off the strength of the Q are going

111
00:07:02,680 --> 00:07:05,120
Speaker 1: to be like, he's back. What if we have the

112
00:07:05,200 --> 00:07:08,320
Speaker 1: reverse power? Yeah, let's try to bring people back this episode.

113
00:07:08,880 --> 00:07:13,119
Speaker 1: Let's do a fun riff about Junior. Yeah, I've already

114
00:07:13,160 --> 00:07:16,080
Speaker 1: spilled my blood in accordance with the blood decrees that

115
00:07:16,120 --> 00:07:21,320
Speaker 1: we signed. So you spit your blood. I gotta say,

116
00:07:21,360 --> 00:07:26,320
Speaker 1: man that you you brought up the shack Nick Carter

117
00:07:26,840 --> 00:07:29,880
Speaker 1: thing to end to the point there. I didn't even

118
00:07:29,920 --> 00:07:33,240
Speaker 1: Aaron Carter. Yeah, Aaron Carter My back to the point

119
00:07:33,240 --> 00:07:35,240
Speaker 1: that I didn't even know his fucking name just then,

120
00:07:35,560 --> 00:07:38,360
Speaker 1: just now. But also I didn't I didn't know about

121
00:07:38,400 --> 00:07:41,120
Speaker 1: that song. I had to go watch the video. So

122
00:07:41,560 --> 00:07:44,360
Speaker 1: I don't know if this is I don't know if

123
00:07:44,440 --> 00:07:48,640
Speaker 1: this is some attempt to lay the groundwork for your defense.

124
00:07:49,200 --> 00:07:52,640
Speaker 1: But did I Heart Radio tell you in a memo

125
00:07:52,760 --> 00:07:57,840
Speaker 1: to gaslight me today that the gaslight special for wilbur

126
00:07:57,960 --> 00:08:01,520
Speaker 1: Let's that is how they start off every day. It's

127
00:08:01,560 --> 00:08:07,920
Speaker 1: just streets with this gas light him the gas like

128
00:08:08,680 --> 00:08:16,440
Speaker 1: spend show night. Great to have you back. All right, Well, Stephen,

129
00:08:16,480 --> 00:08:18,200
Speaker 1: we're going to get to know you a little bit better.

130
00:08:18,840 --> 00:08:20,880
Speaker 1: We're gonna tell our listeners a couple of the things

131
00:08:20,920 --> 00:08:25,120
Speaker 1: that we're talking about today. We're gonna talk about the

132
00:08:25,200 --> 00:08:30,880
Speaker 1: right wing response to the Senate moving to defend gay

133
00:08:30,920 --> 00:08:36,000
Speaker 1: marriage and interracial marriage. And they are like what there.

134
00:08:36,320 --> 00:08:38,720
Speaker 1: They think they're like big mad in a way that

135
00:08:38,840 --> 00:08:42,480
Speaker 1: suggests they think everybody's with them on this one, even

136
00:08:42,480 --> 00:08:44,760
Speaker 1: Ben Shapiro. We're gonna get to. It's the rare treat

137
00:08:44,800 --> 00:08:47,520
Speaker 1: where we get to hear from Ben Shapiro, so we'll

138
00:08:47,600 --> 00:08:49,719
Speaker 1: check in with him. Rare treat. We're going to check

139
00:08:49,760 --> 00:08:52,719
Speaker 1: in with the effective altruism movement, which is starting to

140
00:08:52,760 --> 00:08:55,920
Speaker 1: get a lot of attention after the collapse of f

141
00:08:56,080 --> 00:09:04,800
Speaker 1: t X. Effective altruism is this like philosophical utilitarian system

142
00:09:04,920 --> 00:09:08,679
Speaker 1: of ideas that like really started from a good place.

143
00:09:08,720 --> 00:09:10,560
Speaker 1: It was all about like how do we do the

144
00:09:10,600 --> 00:09:15,240
Speaker 1: most good? And it started with likely using analysis, yeah yeah, yeah,

145
00:09:15,480 --> 00:09:20,520
Speaker 1: and then it got infected by capitalism, and so I

146
00:09:20,559 --> 00:09:23,560
Speaker 1: just want to talk about that, talk about how FTX

147
00:09:23,640 --> 00:09:25,920
Speaker 1: is collapses being covered first of all, and then just

148
00:09:25,960 --> 00:09:31,880
Speaker 1: talk about the all corrupting influence of of capitalism. And

149
00:09:31,920 --> 00:09:35,720
Speaker 1: then we're gonna talk about some Hallmark Christmas movies because

150
00:09:35,840 --> 00:09:39,320
Speaker 1: there's there's been a schism. No, what do you mean

151
00:09:40,640 --> 00:09:47,920
Speaker 1: making a Hallmark Candice Cameron Burr. You don't have to

152
00:09:47,960 --> 00:09:50,840
Speaker 1: mention her, but I'm going to she she made headlines

153
00:09:51,360 --> 00:09:55,719
Speaker 1: for like saying, nah, Hallmark is to woke for me.

154
00:09:56,200 --> 00:09:59,160
Speaker 1: So we're gonna talk about that play more. But first,

155
00:09:59,320 --> 00:10:03,240
Speaker 1: Powerful Steve, we do like task our guests, what is

156
00:10:03,280 --> 00:10:11,839
Speaker 1: something from your search history corn flower smell? Corn flowers smell?

157
00:10:12,000 --> 00:10:15,040
Speaker 1: What's like this this like the scent of a corn flower?

158
00:10:15,320 --> 00:10:21,560
Speaker 1: I just wanted to know if it had one, what

159
00:10:21,720 --> 00:10:24,720
Speaker 1: is that like it grows from corn, Like we're talking

160
00:10:24,760 --> 00:10:29,040
Speaker 1: about the flower the like cooking flour made from corn,

161
00:10:29,880 --> 00:10:34,240
Speaker 1: I'm talking Are you talking about the you are or

162
00:10:34,440 --> 00:10:36,480
Speaker 1: f l O W E R? Or are we talking

163
00:10:36,520 --> 00:10:42,319
Speaker 1: about centaurya syanis? I'm talking about the perfume made by

164
00:10:42,400 --> 00:10:51,040
Speaker 1: Jonathan Davis. No, I'm talking about the So, dude, what

165
00:10:51,080 --> 00:10:55,040
Speaker 1: would that? What would Jonathan Davis? Is corn inspired? Fucking

166
00:10:55,120 --> 00:10:58,120
Speaker 1: coloone smell? I don't know, but I'd call it recon

167
00:10:58,240 --> 00:11:04,400
Speaker 1: a wesh ago there we go. No, the flower, I

168
00:11:04,400 --> 00:11:06,800
Speaker 1: don't know why it's called Oh it was a weed

169
00:11:06,880 --> 00:11:12,760
Speaker 1: in Cornfield. I guess wikipedia, did you are? You like

170
00:11:12,800 --> 00:11:15,439
Speaker 1: walking past them pretty frequently and you never had the

171
00:11:15,480 --> 00:11:17,760
Speaker 1: courage to smell it, So you're like, let me try

172
00:11:17,800 --> 00:11:20,680
Speaker 1: the Internet before I stick my nose in another flower.

173
00:11:20,720 --> 00:11:24,720
Speaker 1: That's gonna make me sneeze. I think, just as a

174
00:11:24,760 --> 00:11:29,040
Speaker 1: creative type, when I think of a flower like corn flower,

175
00:11:29,400 --> 00:11:32,199
Speaker 1: something about it. It's got a very cellar door quality

176
00:11:32,280 --> 00:11:35,600
Speaker 1: to me, Like, I love just corn flower as a

177
00:11:35,600 --> 00:11:37,599
Speaker 1: as a word. So I just kind of want to

178
00:11:37,640 --> 00:11:40,080
Speaker 1: know if I were to drop that in something saying

179
00:11:40,120 --> 00:11:43,400
Speaker 1: that it had a smell. Damn, I right, my right

180
00:11:43,720 --> 00:11:47,080
Speaker 1: was saying and I saw that there were some corn

181
00:11:47,120 --> 00:11:52,719
Speaker 1: flower like perfume things, so I assume it must have

182
00:11:52,800 --> 00:11:55,840
Speaker 1: some sort of unless the corn flower served as some

183
00:11:55,920 --> 00:11:59,800
Speaker 1: sort of binding agent for the perfume. Yeah, I can

184
00:11:59,840 --> 00:12:03,160
Speaker 1: see that being in a novel, like a art novel

185
00:12:03,280 --> 00:12:07,280
Speaker 1: like corn the the color of the sky painted the

186
00:12:07,320 --> 00:12:09,840
Speaker 1: color of corn flower or something like that, you know,

187
00:12:10,320 --> 00:12:18,120
Speaker 1: the corn Flower Murders. A Jack Gray Mystery You written

188
00:12:18,160 --> 00:12:23,439
Speaker 1: by Stephen Wilber forward by Norah Roberts right the end

189
00:12:23,520 --> 00:12:26,920
Speaker 1: of the end of Cornflower Road. This sounds of sounds

190
00:12:26,960 --> 00:12:30,640
Speaker 1: like another one too, a memoir. There's a news splash.

191
00:12:30,720 --> 00:12:35,240
Speaker 1: Mont Santo is just taking out all corn flowers. Holy shit,

192
00:12:36,000 --> 00:12:41,240
Speaker 1: that's crazy to lind up like that. Mmmm alright was

193
00:12:41,400 --> 00:12:46,800
Speaker 1: too close to the Yeah, like what you did, like

194
00:12:46,920 --> 00:12:49,720
Speaker 1: what you did with your powers again, this is like

195
00:12:49,760 --> 00:12:57,480
Speaker 1: the time I was on Rogan and talked about bees that.

196
00:12:57,640 --> 00:13:02,400
Speaker 1: I feel like that could be a like shitty Stephen

197
00:13:02,480 --> 00:13:05,920
Speaker 1: King short story is like person who goes on podcasts

198
00:13:06,000 --> 00:13:08,880
Speaker 1: because he just had that one where it's like magic

199
00:13:09,000 --> 00:13:12,199
Speaker 1: cell phone that kills people when you leave a voicemail.

200
00:13:12,280 --> 00:13:21,520
Speaker 1: Four dead guy like right right, yeah, death curse, death

201
00:13:21,559 --> 00:13:27,960
Speaker 1: Caste and death cast for cutie. Yeah, what is something

202
00:13:28,040 --> 00:13:33,920
Speaker 1: you think is overrated? Let's be honest. Twitter m hm

203
00:13:33,920 --> 00:13:38,960
Speaker 1: oh go wow wow hit him with it, Stephen, what's

204
00:13:38,960 --> 00:13:44,320
Speaker 1: going on over there? Oh you want to hear some realty? Yeah,

205
00:13:44,559 --> 00:13:47,080
Speaker 1: between you and me and the wall. Uh, it's not

206
00:13:47,160 --> 00:13:51,360
Speaker 1: looking so great. Watch by the time this comes out,

207
00:13:51,480 --> 00:13:54,920
Speaker 1: you might have actually killed I know, like you've really

208
00:13:55,200 --> 00:13:58,440
Speaker 1: you're really flying close to the sun right now. Man, y'all,

209
00:13:58,480 --> 00:14:00,400
Speaker 1: if this comes out Monday and you are getting the

210
00:14:00,440 --> 00:14:04,280
Speaker 1: whale ship on your on your browser phone, Stephen, is

211
00:14:04,320 --> 00:14:08,720
Speaker 1: there like a po box that can send you veiled threats? Uh?

212
00:14:08,840 --> 00:14:12,800
Speaker 1: Not just a tweet tweet? Okay, okay, okay, there you go. Yeah.

213
00:14:12,800 --> 00:14:15,400
Speaker 1: Are you are you looking at the like, how are

214
00:14:15,400 --> 00:14:18,800
Speaker 1: you experiencing the end of Twitter? Or like the Twitter

215
00:14:18,840 --> 00:14:21,640
Speaker 1: freakouts that are happening on the platform. You're just like watching?

216
00:14:21,680 --> 00:14:24,000
Speaker 1: Are you? Do you feel compelled to say things? Because

217
00:14:24,000 --> 00:14:26,680
Speaker 1: when I look at Twitter, it reminds me of like

218
00:14:27,200 --> 00:14:30,280
Speaker 1: having senior itis in high school, where I'm like, yeah, man,

219
00:14:30,320 --> 00:14:32,040
Speaker 1: a lot of these people are getting like sappy about

220
00:14:32,040 --> 00:14:34,840
Speaker 1: this ship. I'm ready to go, you know, and I'm

221
00:14:34,920 --> 00:14:37,040
Speaker 1: high every day in class and because I don't give

222
00:14:37,080 --> 00:14:39,000
Speaker 1: a funk if the teacher's catch me this time. But

223
00:14:39,440 --> 00:14:41,640
Speaker 1: I do feel like it is sad though, because I'm like, well,

224
00:14:41,640 --> 00:14:43,280
Speaker 1: I don't want it to go away, but also I

225
00:14:43,320 --> 00:14:47,160
Speaker 1: don't have the energy to express any of it. Like

226
00:14:47,400 --> 00:14:51,400
Speaker 1: my Twitter feed is. Most times something happens, it is

227
00:14:51,440 --> 00:14:56,960
Speaker 1: all just comedians doing their jokes about it and anything

228
00:14:57,200 --> 00:15:01,040
Speaker 1: I could possibly think of to say funny somebody on

229
00:15:01,080 --> 00:15:06,720
Speaker 1: the East Coast, Yes, yeah, yeah, I'm like that would

230
00:15:06,720 --> 00:15:10,800
Speaker 1: have been good growing down, like, oh that's funny. Yeah,

231
00:15:10,880 --> 00:15:14,120
Speaker 1: I mean that's not funny. One thought I had was like,

232
00:15:14,160 --> 00:15:16,920
Speaker 1: if it's really going down, just changed my avatar and

233
00:15:17,000 --> 00:15:19,840
Speaker 1: just go mask off a o L chat room troll

234
00:15:19,960 --> 00:15:22,600
Speaker 1: like on ignorant people like when I used to have

235
00:15:22,680 --> 00:15:24,440
Speaker 1: that kind of energy. But I was like, I don't.

236
00:15:24,440 --> 00:15:26,080
Speaker 1: I don't need a dabble in that. But I just

237
00:15:26,080 --> 00:15:28,600
Speaker 1: see some I'm an old man. I'm an old man

238
00:15:28,640 --> 00:15:30,760
Speaker 1: now I've learned. You know, it's not it's not worth

239
00:15:32,480 --> 00:15:34,600
Speaker 1: what what what would you do with your I don't

240
00:15:34,600 --> 00:15:36,600
Speaker 1: even know, man, I I don't know. Like I look

241
00:15:36,640 --> 00:15:40,480
Speaker 1: at my drafts and ship and I'm like wow, wow, yeah.

242
00:15:40,560 --> 00:15:46,200
Speaker 1: Times I've withheld like fucking atomic blasts on on threads

243
00:15:46,200 --> 00:15:48,920
Speaker 1: and ship. But it's like again, I think it's mostly

244
00:15:48,960 --> 00:15:51,960
Speaker 1: to do with the fact that the dangerous part for

245
00:15:52,000 --> 00:15:54,000
Speaker 1: me was getting too caught up in like it being

246
00:15:54,160 --> 00:15:57,240
Speaker 1: uh purely like for my ego expression on Twitter, and

247
00:15:57,240 --> 00:15:58,920
Speaker 1: I was like, yeah, I like larking. I'll do that

248
00:15:59,480 --> 00:16:04,480
Speaker 1: healthier me. Very larking, Yeah, very larking. What Stephen is

249
00:16:04,520 --> 00:16:12,400
Speaker 1: something you think is underrated? Honestly betraying Twitter? No? Um,

250
00:16:12,560 --> 00:16:16,480
Speaker 1: vodka mm hmm uh huh. A lot of people ride

251
00:16:16,520 --> 00:16:22,160
Speaker 1: on vodka, and I think we should appreciate it a

252
00:16:22,160 --> 00:16:24,600
Speaker 1: little more. It's like the blank canvas for a lot

253
00:16:24,640 --> 00:16:27,400
Speaker 1: of great drinks. Like it's like turkey. Turkey, you can

254
00:16:27,440 --> 00:16:31,640
Speaker 1: seize in turkey with everything. It's like delicious and like

255
00:16:33,960 --> 00:16:37,440
Speaker 1: it's like turkey your chicken. Yeah, you just like you

256
00:16:37,520 --> 00:16:41,160
Speaker 1: put anything on it. It's like a turkey. Do I

257
00:16:41,360 --> 00:16:45,240
Speaker 1: eat a lot of turkey? Yeah? I'm a sleepy boy,

258
00:16:47,280 --> 00:16:51,920
Speaker 1: old baby ball. A lot of people, a lot of

259
00:16:51,920 --> 00:16:58,200
Speaker 1: people like buy expensive tequila so it will taste like vodka. Like, bro,

260
00:16:58,400 --> 00:17:03,240
Speaker 1: it's so all this clean good. It tastes like drinking nothing. Yeah,

261
00:17:03,520 --> 00:17:09,240
Speaker 1: that's the most vodka guy, right, are you big like

262
00:17:09,480 --> 00:17:13,240
Speaker 1: drink connoisseur. You like cocktails and things like that. Oh god, no,

263
00:17:14,920 --> 00:17:17,600
Speaker 1: just pulled that one out of thinner. I love I

264
00:17:17,680 --> 00:17:21,119
Speaker 1: love a Moscow mule. That I mean, who did it

265
00:17:21,200 --> 00:17:29,439
Speaker 1: twelve years ago? Rude? Wow, I'm a guest. I'm a guest.

266
00:17:29,760 --> 00:17:33,840
Speaker 1: People with my voice. Okay, never mind, never mind, never mind. Yeah, yeah,

267
00:17:34,000 --> 00:17:40,080
Speaker 1: Moscow mules, real good, real good. Vodka, vodka, vodka, Twitter,

268
00:17:40,200 --> 00:17:43,840
Speaker 1: Moscow mules, those copper mugs, they've vanished. Go look in

269
00:17:43,880 --> 00:17:46,440
Speaker 1: your cabinets. They're gone, folks, They're gone. Were you sent

270
00:17:46,480 --> 00:17:50,160
Speaker 1: by the CIA to destabilize Russia? Do you think? Is that?

271
00:17:50,320 --> 00:17:54,240
Speaker 1: Is that? What this is coming down? Anywhere? This is

272
00:17:54,280 --> 00:17:58,720
Speaker 1: all just over zoomed. Could I caught an email They

273
00:17:58,760 --> 00:18:01,920
Speaker 1: were like, hey, wako for I'll cover to the computer

274
00:18:02,160 --> 00:18:05,199
Speaker 1: rag on Russia a little bit. You don't even need

275
00:18:05,280 --> 00:18:08,879
Speaker 1: to put on pants. Cool, and then we'll send you

276
00:18:08,920 --> 00:18:12,120
Speaker 1: an Amazon gift card. Yeah. It's like the idea stranger

277
00:18:12,160 --> 00:18:15,120
Speaker 1: things are just always about, like eleven would actually grow

278
00:18:15,160 --> 00:18:17,840
Speaker 1: into what Stephen. What we're saying Stephen is is a

279
00:18:17,880 --> 00:18:21,160
Speaker 1: person who goes on podcasts and can kill people. That's

280
00:18:21,200 --> 00:18:23,120
Speaker 1: the whole That's what the whole lead up to Stranger

281
00:18:23,160 --> 00:18:26,800
Speaker 1: Things is really about preventing eleven from being able to

282
00:18:26,800 --> 00:18:29,600
Speaker 1: go on podcasts and get those takes off that kill people.

283
00:18:30,400 --> 00:18:36,399
Speaker 1: H h, I'm actually I'm twelve. Oh okay, it's cute,

284
00:18:36,520 --> 00:18:41,479
Speaker 1: um because it says it's a Stephen number. All right,

285
00:18:41,560 --> 00:18:45,520
Speaker 1: let's go on, get on to the Yeah, that's good stuff.

286
00:18:54,760 --> 00:19:02,200
Speaker 1: Yeah twelve. Sure you don't want to tweet that? Man?

287
00:19:03,320 --> 00:19:08,680
Speaker 1: Yeah it get it in under the wire a somebody

288
00:19:08,720 --> 00:19:18,480
Speaker 1: already did three hours ago. Alright, let's take a quick

289
00:19:18,520 --> 00:19:33,720
Speaker 1: break and we'll be right back. And we're back. And

290
00:19:34,480 --> 00:19:38,000
Speaker 1: so is same sex marriage even in a racial marriages

291
00:19:38,119 --> 00:19:44,359
Speaker 1: back in the spotlight like it nevertheless, it's back. Yeah,

292
00:19:44,359 --> 00:19:50,359
Speaker 1: there of it over here. That's how I expressed that,

293
00:19:50,440 --> 00:19:54,520
Speaker 1: Like I'm having marital troubles is I'm like, uh, interracial

294
00:19:54,560 --> 00:19:58,400
Speaker 1: marriage guys, not great. I'm the poster boy that they hire.

295
00:19:58,440 --> 00:20:00,479
Speaker 1: I'm like, I'm telling you, guys, you don't to do it.

296
00:20:01,359 --> 00:20:05,159
Speaker 1: My life is terrible because my parents so reckless, not

297
00:20:05,280 --> 00:20:09,000
Speaker 1: sticking with their own. But yeah, the ever since the

298
00:20:09,040 --> 00:20:13,399
Speaker 1: Senate moved the Respect for Marriage Act to a vote, uh, like,

299
00:20:13,520 --> 00:20:15,679
Speaker 1: it's just been full freak outs on the right. I

300
00:20:15,680 --> 00:20:18,800
Speaker 1: feel like the last ten days or so, has been

301
00:20:18,840 --> 00:20:21,760
Speaker 1: just a lot of like Republicans and like people in

302
00:20:21,760 --> 00:20:25,800
Speaker 1: the mainstream who are like, wait, the status quo as

303
00:20:25,840 --> 00:20:29,160
Speaker 1: we saw it isn't what what what? What's happening here?

304
00:20:29,200 --> 00:20:33,600
Speaker 1: They're like utterly confused. The first guy, Brian Brown, who's

305
00:20:33,640 --> 00:20:36,520
Speaker 1: like the head of this hate group, the National Organization

306
00:20:36,680 --> 00:20:40,600
Speaker 1: for Marriage, is so angry about what happened. He wrote

307
00:20:40,640 --> 00:20:43,320
Speaker 1: this email to like all of the people who are

308
00:20:43,359 --> 00:20:47,320
Speaker 1: you know, supporters of this hate crew said, quote sadly

309
00:20:47,359 --> 00:20:50,720
Speaker 1: and tragically, the United States Senate, with the collusion of

310
00:20:50,760 --> 00:20:54,560
Speaker 1: twelve turn quote Republican senators who portrayed their party platform

311
00:20:54,640 --> 00:20:57,760
Speaker 1: and the votes of fifty million Americans who enacted state

312
00:20:57,800 --> 00:21:01,320
Speaker 1: constitutional amendments defining marriage as the union of one man

313
00:21:01,359 --> 00:21:05,359
Speaker 1: and one woman, have voted to impose same sex quote

314
00:21:05,440 --> 00:21:08,840
Speaker 1: unquote marriage on the nation. This is a very confused.

315
00:21:08,880 --> 00:21:11,520
Speaker 1: A couple m dashes, but that's a run on sentence,

316
00:21:11,600 --> 00:21:14,719
Speaker 1: my friends. Yeah, well that's look when you come when

317
00:21:15,320 --> 00:21:18,360
Speaker 1: when you're here, that mad I guess. Yeah, grammar goes

318
00:21:18,359 --> 00:21:21,159
Speaker 1: out the window when you're so filled with hate. Now,

319
00:21:21,520 --> 00:21:27,639
Speaker 1: this isn't the Brian Brown, Australian actor who played Tom Cruises,

320
00:21:28,200 --> 00:21:32,040
Speaker 1: sense in Cocktail, right, you know, I don't think it's

321
00:21:32,040 --> 00:21:34,960
Speaker 1: the same. It's not. It's not the guy from fx

322
00:21:35,080 --> 00:21:38,159
Speaker 1: F F X two. No, no, no, I thought that

323
00:21:38,240 --> 00:21:40,879
Speaker 1: was Michael Caine in both of those cases. Yeah, he

324
00:21:40,960 --> 00:21:48,320
Speaker 1: does look like to crack Michael Kane. He's like, yeah,

325
00:21:48,359 --> 00:21:50,000
Speaker 1: he's the kind of guy owns up on Nathan for

326
00:21:50,040 --> 00:21:53,040
Speaker 1: you saying he's a Michael Caine impersonator and you're like, yeah,

327
00:21:53,080 --> 00:21:54,680
Speaker 1: and this guy is kind of weird. He was an Aussie.

328
00:21:54,760 --> 00:21:58,680
Speaker 1: But it's all good. That is Steven. Like for somebody

329
00:21:58,720 --> 00:22:00,240
Speaker 1: who came on and say, you're not going to get

330
00:22:00,240 --> 00:22:04,080
Speaker 1: me to talk about people who might die, Wow, Brian

331
00:22:04,200 --> 00:22:08,760
Speaker 1: Brown is alive if I talk about older people. Yeah,

332
00:22:08,800 --> 00:22:13,600
Speaker 1: it's like that wasn't me. Okay, uh, well we'll see

333
00:22:13,600 --> 00:22:17,600
Speaker 1: bucks like Aaron Carter. It's like, oh yeah, that's right.

334
00:22:19,119 --> 00:22:22,399
Speaker 1: Great responsibility. This letter goes on to say this is

335
00:22:22,400 --> 00:22:24,720
Speaker 1: a very disappointing development. It feels like a punch in

336
00:22:24,760 --> 00:22:28,200
Speaker 1: the gut from people who regularly portrayed themselves as conservatives

337
00:22:28,240 --> 00:22:30,720
Speaker 1: and people of faith, yet who have voted with the

338
00:22:30,800 --> 00:22:34,280
Speaker 1: radical homosexual lobby and the most extreme elements of the

339
00:22:34,320 --> 00:22:39,760
Speaker 1: Democrat Party that we intend to hold them accountable. At

340
00:22:39,800 --> 00:22:43,800
Speaker 1: the end, he's like, we need donations to man and

341
00:22:43,840 --> 00:22:46,160
Speaker 1: there's like a thing like at the bottom says donate

342
00:22:46,200 --> 00:22:52,000
Speaker 1: crypto too, really, but it says you can donate in crypto. Yeah,

343
00:22:52,040 --> 00:22:54,560
Speaker 1: the sign off it's like donated, donate and he says

344
00:22:54,680 --> 00:22:58,359
Speaker 1: donate crypto here, It's like, wow, like I stam on

345
00:22:58,480 --> 00:23:05,480
Speaker 1: top of a scam if to have a paper trail, right, yes,

346
00:23:05,560 --> 00:23:09,479
Speaker 1: that the is that I haven't donated crypto in a

347
00:23:09,520 --> 00:23:12,879
Speaker 1: long time. Like, is that who's still mainly in the

348
00:23:12,920 --> 00:23:16,480
Speaker 1: crypto is like people being people who are like, yeah,

349
00:23:16,480 --> 00:23:19,320
Speaker 1: you'll probably be ashamed by this. So I don't even

350
00:23:19,359 --> 00:23:21,320
Speaker 1: know what what the point of that is. I think

351
00:23:21,320 --> 00:23:23,840
Speaker 1: it's just sort of like they're they're going all out.

352
00:23:24,000 --> 00:23:26,600
Speaker 1: Also think because a lot of the thinking is look,

353
00:23:27,160 --> 00:23:29,600
Speaker 1: usually when this many people, like you know, get it

354
00:23:29,640 --> 00:23:32,359
Speaker 1: to a vote, it means they got the votes to

355
00:23:32,480 --> 00:23:35,440
Speaker 1: pass it for the final vote. Unless we can get

356
00:23:35,440 --> 00:23:38,159
Speaker 1: to enough people in the House of Representatives, please give

357
00:23:38,200 --> 00:23:41,840
Speaker 1: me a hundred thousand dollars because you hate people getting

358
00:23:41,880 --> 00:23:45,359
Speaker 1: married to who they love anyway, then one of the

359
00:23:45,520 --> 00:23:49,960
Speaker 1: like televangelist, former spiritual adviser to Donald Trump has just

360
00:23:50,000 --> 00:23:53,439
Speaker 1: been like I think just seeing everything whither away from

361
00:23:53,480 --> 00:23:58,520
Speaker 1: like the abortion SmackDown to the then like the Senate

362
00:23:58,560 --> 00:24:01,159
Speaker 1: pushing through, the respect for mayor of Jack going just

363
00:24:01,440 --> 00:24:05,120
Speaker 1: guns blazing against Donald Trump, just saying it's just everything,

364
00:24:05,160 --> 00:24:06,920
Speaker 1: Like I think this version has had enough and said quote,

365
00:24:06,920 --> 00:24:09,520
Speaker 1: if Mr Trump can't stop his little petty issues, how

366
00:24:09,600 --> 00:24:12,639
Speaker 1: does he expect people to stop major issues? Uh? And

367
00:24:12,720 --> 00:24:15,240
Speaker 1: goes on to just talk about how he acts like

368
00:24:15,280 --> 00:24:19,159
Speaker 1: an elementary or elementary school child, and you know, his

369
00:24:19,240 --> 00:24:22,800
Speaker 1: focus on like these smaller issues completely betrayed, like the

370
00:24:23,160 --> 00:24:27,959
Speaker 1: momentum that the evangelical movement had, etcetera, etcetera. So you know,

371
00:24:28,240 --> 00:24:30,760
Speaker 1: I think it's, yeah, they're having a little bit of

372
00:24:30,800 --> 00:24:32,720
Speaker 1: a hard time, and his it sort of boils down

373
00:24:32,720 --> 00:24:34,280
Speaker 1: to he's just feeling like if he wasn't such a

374
00:24:34,280 --> 00:24:35,959
Speaker 1: piece of ship, they would have been able to do

375
00:24:36,080 --> 00:24:42,040
Speaker 1: more harm. Denonsis head Christians, what does it take to

376
00:24:42,320 --> 00:24:47,320
Speaker 1: call yourself an advisor for a president? You like a meeting?

377
00:24:47,600 --> 00:24:50,760
Speaker 1: A single meeting. Yeah, That's why I like, there's so

378
00:24:50,800 --> 00:24:56,200
Speaker 1: many people who are yeah yeah, put that on, put

379
00:24:56,200 --> 00:24:58,920
Speaker 1: that on their CV. It's like, what did you here

380
00:24:59,040 --> 00:25:02,040
Speaker 1: next to them? Is there a red phone? On his desk,

381
00:25:03,080 --> 00:25:04,840
Speaker 1: or I feel like it's like that lie I would

382
00:25:04,840 --> 00:25:07,280
Speaker 1: hear like jen X or boomers say, like in the

383
00:25:07,359 --> 00:25:09,439
Speaker 1: early two thousands, or they're like I used to be

384
00:25:09,480 --> 00:25:11,960
Speaker 1: a roadie for this band back in the day, and

385
00:25:12,000 --> 00:25:14,640
Speaker 1: they'd like tell you some lie and you're like, how

386
00:25:14,680 --> 00:25:16,600
Speaker 1: do we like, I can't even verify that, and something

387
00:25:16,640 --> 00:25:19,040
Speaker 1: like dude, that guy's was never a fucking roadie for

388
00:25:20,119 --> 00:25:23,880
Speaker 1: or like Bran who are brands who are the official

389
00:25:24,000 --> 00:25:28,399
Speaker 1: yarn of Nascar. Well they do that because they're the

390
00:25:28,400 --> 00:25:32,320
Speaker 1: they get exclusivity as a sponsor, and then they can't say, yes,

391
00:25:32,359 --> 00:25:35,040
Speaker 1: we're the only yarn who bothered to be like we

392
00:25:35,080 --> 00:25:38,760
Speaker 1: know our customers. Yarn Gang loves Nascar, of room from

393
00:25:38,840 --> 00:25:44,280
Speaker 1: they love Earnhardt's cars. It's just it again, the confused.

394
00:25:44,320 --> 00:25:47,080
Speaker 1: It's like a lot of confusion around what you hear

395
00:25:47,160 --> 00:25:50,000
Speaker 1: these conservatives say, like when it comes to what happened

396
00:25:50,000 --> 00:25:54,160
Speaker 1: with people actually you know, voting for an increased body

397
00:25:54,240 --> 00:25:57,960
Speaker 1: autonomy or the idea that like Republicans were also willing

398
00:25:58,000 --> 00:26:01,080
Speaker 1: to say, yeah, man, you can get married to whoever

399
00:26:01,119 --> 00:26:03,359
Speaker 1: the funk you want. It's just like the wheels are

400
00:26:03,359 --> 00:26:05,960
Speaker 1: spinning in this way that they just cannot get over

401
00:26:06,040 --> 00:26:08,959
Speaker 1: the idea that it's like it's it's always been a

402
00:26:08,960 --> 00:26:12,440
Speaker 1: losing strategy that we've only been able to stay relevant

403
00:26:12,440 --> 00:26:15,840
Speaker 1: through all the disingenuous like map fucking and things like that.

404
00:26:16,359 --> 00:26:20,560
Speaker 1: So I just want to hear from Ben Shapiro. I do,

405
00:26:19,800 --> 00:26:23,159
Speaker 1: and so we got him on the line, got him

406
00:26:24,359 --> 00:26:28,720
Speaker 1: Ben Shapiro's argument. He's like completely incense by this and

407
00:26:29,320 --> 00:26:32,560
Speaker 1: he's saying like, I don't know, he's just trying to

408
00:26:32,560 --> 00:26:35,199
Speaker 1: say it makes sense that only a man and a

409
00:26:35,320 --> 00:26:39,440
Speaker 1: woman assess man and assists woman get married to each other,

410
00:26:39,480 --> 00:26:43,920
Speaker 1: because fucking aliens can even see that, or I don't

411
00:26:43,960 --> 00:26:46,480
Speaker 1: hear that. Is this a new one, because I feel

412
00:26:46,480 --> 00:26:49,440
Speaker 1: like I've heard his arguments on the subject before. It's

413
00:26:49,480 --> 00:26:54,119
Speaker 1: that he's he's pretty in a pretty ideologically ignorant and

414
00:26:54,280 --> 00:26:56,760
Speaker 1: consistent with that ignorant, So yeah, you probably have. This

415
00:26:56,800 --> 00:26:58,960
Speaker 1: is him just screaming at Matt Wall. She was just like,

416
00:26:58,960 --> 00:27:02,000
Speaker 1: I'm not saying anything. Yeah, this recent Matt Walsh looks

417
00:27:02,040 --> 00:27:07,679
Speaker 1: like he's wearing a fake beard. So it's not the

418
00:27:07,720 --> 00:27:11,080
Speaker 1: Matt Walsh that it's not the Matt Walsh from UCB,

419
00:27:11,640 --> 00:27:14,040
Speaker 1: although it could end up being because this person is

420
00:27:14,080 --> 00:27:17,000
Speaker 1: clearly wearing a disguise. Okay, here, here, here we go.

421
00:27:17,520 --> 00:27:22,320
Speaker 1: I'm I'm highly annoyed by the constant derogation of non

422
00:27:22,359 --> 00:27:24,399
Speaker 1: religious arguments into religious arguments. And this is what the

423
00:27:24,480 --> 00:27:26,159
Speaker 1: left loves to do. They like to say, your prob life,

424
00:27:26,200 --> 00:27:27,840
Speaker 1: the reason your pro life is because of your your

425
00:27:27,880 --> 00:27:32,879
Speaker 1: crazy religion, and so yeah right, because you you you

426
00:27:32,920 --> 00:27:35,400
Speaker 1: say it yourselves when you say, why go because the

427
00:27:35,480 --> 00:27:40,280
Speaker 1: Bible sit huh? Okay? But or I I also like to,

428
00:27:40,880 --> 00:27:44,119
Speaker 1: you know, appeal to white supremacy as well. The other

429
00:27:44,160 --> 00:27:47,000
Speaker 1: thing that you seem to be would you rather that, Ben,

430
00:27:47,359 --> 00:27:50,000
Speaker 1: is that because that I do feel like the thing

431
00:27:50,080 --> 00:27:53,119
Speaker 1: you're railing against is actually the polite thing that the

432
00:27:53,200 --> 00:27:56,920
Speaker 1: polite mainstream media says is like, well, it's just their

433
00:27:56,960 --> 00:28:00,480
Speaker 1: religious beliefs. That's like them taking you at your Yeah,

434
00:28:00,520 --> 00:28:03,840
Speaker 1: yeah about it. Yeah, maybe we can respect your crazy

435
00:28:03,880 --> 00:28:06,359
Speaker 1: religion along the that that is not the argument from marriage.

436
00:28:06,359 --> 00:28:09,320
Speaker 1: The argument from marriage has literally nothing to do with religion.

437
00:28:09,560 --> 00:28:12,600
Speaker 1: You could be a visitor from from Mars and you

438
00:28:12,600 --> 00:28:15,560
Speaker 1: could see that all of human procreation relies on man,

439
00:28:15,600 --> 00:28:18,400
Speaker 1: woman child. This is not particularly difficult stuff, but essentially

440
00:28:19,119 --> 00:28:22,120
Speaker 1: boxing in the argument in favor of traditional marriage into well,

441
00:28:22,119 --> 00:28:23,879
Speaker 1: if you're a crazy religious believe or maybe we'll let

442
00:28:23,880 --> 00:28:25,320
Speaker 1: you have that. But you know, if you're if you're

443
00:28:25,320 --> 00:28:27,320
Speaker 1: baking it, if you're a cake baker, then we're not

444
00:28:27,359 --> 00:28:29,040
Speaker 1: sure about that, right, I mean, like we're not sure

445
00:28:29,040 --> 00:28:31,760
Speaker 1: how far this this religious liberty thing extends. What you're

446
00:28:31,760 --> 00:28:34,160
Speaker 1: really doing is you're setting the ground game at same

447
00:28:34,200 --> 00:28:37,120
Speaker 1: sex marriage and traditional marriage are completely the same thing,

448
00:28:37,359 --> 00:28:38,680
Speaker 1: and if you object to it, the only reason that

449
00:28:38,680 --> 00:28:40,000
Speaker 1: we even allow you to do that is because of

450
00:28:40,000 --> 00:28:44,360
Speaker 1: this crazy thing called religion. Anyway, there pack, but you

451
00:28:44,400 --> 00:28:47,760
Speaker 1: have to believe there completely the same thing in order

452
00:28:47,840 --> 00:28:52,560
Speaker 1: to argue against Ben Shapiro. They're completely the same thing. Yeah, Oh,

453
00:28:52,600 --> 00:28:55,640
Speaker 1: did you see Matt Walsh freaking out because the men's

454
00:28:55,760 --> 00:28:58,280
Speaker 1: the US men's national team for the World Cup are

455
00:28:58,360 --> 00:29:01,400
Speaker 1: like including a rain like a rain bow spectrum on

456
00:29:01,480 --> 00:29:04,560
Speaker 1: the like the crest of the men's team because cutters

457
00:29:04,640 --> 00:29:08,680
Speaker 1: so like just violently homophobic. He wouldn't believe that they

458
00:29:08,720 --> 00:29:10,800
Speaker 1: would do that. It's like just shut up full like,

459
00:29:10,840 --> 00:29:14,320
Speaker 1: you know, welcome to the mid terms. Didn't quite have

460
00:29:14,400 --> 00:29:16,520
Speaker 1: me over the edge, but now I think we can

461
00:29:16,560 --> 00:29:20,240
Speaker 1: officially say we've won with the with the rainbows on

462
00:29:20,320 --> 00:29:22,680
Speaker 1: the on the World Cup. I think I think we

463
00:29:22,680 --> 00:29:29,800
Speaker 1: we can just paying attention to dub you guys lost.

464
00:29:31,880 --> 00:29:35,840
Speaker 1: I saw that Target had dog toys that said yes

465
00:29:36,080 --> 00:29:39,160
Speaker 1: Queen like two years ago, and I was like, oh, yeah,

466
00:29:39,200 --> 00:29:42,680
Speaker 1: I can tune out. That was the tip of the spirit, Stephen,

467
00:29:42,680 --> 00:29:44,640
Speaker 1: that was the tip of the spirit. But we're it's

468
00:29:44,680 --> 00:29:48,560
Speaker 1: been a systematic movement to get to this point where

469
00:29:48,840 --> 00:29:53,800
Speaker 1: the rainbows are on the uniforms. Yeah, I just were

470
00:29:53,840 --> 00:29:56,120
Speaker 1: It's like this whole week has just been people and

471
00:29:56,360 --> 00:30:01,040
Speaker 1: like their insulated echo chambers, like actually being confronted with

472
00:30:01,080 --> 00:30:04,000
Speaker 1: what like like majorities look like and they're like what

473
00:30:04,040 --> 00:30:06,920
Speaker 1: the fuck, Like whether that's like Elon Musk not knowing

474
00:30:06,920 --> 00:30:09,320
Speaker 1: how any this ship works, or these be like the

475
00:30:09,440 --> 00:30:13,320
Speaker 1: fun But I thought y'all wanted the blue check I

476
00:30:13,360 --> 00:30:15,560
Speaker 1: thought the thing was you saw the blue check is

477
00:30:15,600 --> 00:30:19,240
Speaker 1: being like a college degree, and if I democratize that,

478
00:30:19,600 --> 00:30:22,840
Speaker 1: then you it would all be great. And they're like, no,

479
00:30:23,440 --> 00:30:25,239
Speaker 1: you're just all the people that you that are like

480
00:30:25,280 --> 00:30:27,960
Speaker 1: your suck ups just hate people, like really just hate

481
00:30:28,000 --> 00:30:31,520
Speaker 1: the journalists that have blue check marks. Rather than the

482
00:30:31,720 --> 00:30:35,720
Speaker 1: like practice of having you verified accounts. You haven't heard

483
00:30:35,800 --> 00:30:38,880
Speaker 1: from a person giving you objective facts in the past,

484
00:30:39,520 --> 00:30:42,360
Speaker 1: I don't know, fifteen years or since your dad said

485
00:30:42,360 --> 00:30:45,240
Speaker 1: he didn't love you or something like, Yeah, that was

486
00:30:45,360 --> 00:30:49,520
Speaker 1: the last objective because you're a bad kid man, because

487
00:30:49,520 --> 00:30:53,160
Speaker 1: you're just like a bad gross person. You're bad. Yeah,

488
00:30:53,360 --> 00:30:56,640
Speaker 1: you are bad. That. But that thing that tells you

489
00:30:56,680 --> 00:30:58,320
Speaker 1: that at the core of your soul it makes you

490
00:30:58,440 --> 00:31:01,720
Speaker 1: be this way is actually correct. But that's the one

491
00:31:02,200 --> 00:31:04,920
Speaker 1: kind of locusts of truth that you have inside your

492
00:31:04,960 --> 00:31:07,600
Speaker 1: whole being. But the the other thing that he got

493
00:31:07,680 --> 00:31:10,640
Speaker 1: big wrong this week was or last week was when

494
00:31:10,680 --> 00:31:14,080
Speaker 1: he was like ultimatum, put up or shut up. If

495
00:31:14,120 --> 00:31:17,760
Speaker 1: you're not on board with me, then you're out my

496
00:31:17,920 --> 00:31:21,600
Speaker 1: way or the highway by tomorrow. And then like as

497
00:31:21,640 --> 00:31:24,360
Speaker 1: it was coming and nobody had signed on with this thing,

498
00:31:24,400 --> 00:31:26,840
Speaker 1: he was like, I mean, my my bad, my bad.

499
00:31:27,200 --> 00:31:31,920
Speaker 1: Actually everybody just resigned. And now he's like, come by

500
00:31:32,000 --> 00:31:35,320
Speaker 1: Twitter to like tell me about code you wrote, like

501
00:31:35,360 --> 00:31:37,720
Speaker 1: it would be great if you can fly in obviously,

502
00:31:37,760 --> 00:31:40,000
Speaker 1: if you can't consume, I don't I don't know if

503
00:31:40,000 --> 00:31:46,600
Speaker 1: I'm gonna cover those costs, but get your ass in here, Okay,

504
00:31:46,600 --> 00:31:50,840
Speaker 1: of course not. Yeah, it's it's it's big bad Well

505
00:31:50,880 --> 00:31:54,480
Speaker 1: on the subject of just you know, complete and total

506
00:31:54,920 --> 00:31:59,320
Speaker 1: victory in the world of culture, you know, and our

507
00:32:00,200 --> 00:32:03,280
Speaker 1: long term strategy to just make it so nobody can

508
00:32:03,320 --> 00:32:07,040
Speaker 1: be a Christian ever again, and that Christmas is a

509
00:32:07,120 --> 00:32:11,200
Speaker 1: word that you can't even say punishable by death. Candice

510
00:32:11,240 --> 00:32:14,920
Speaker 1: Cameron Burr made headlines all over the world for being

511
00:32:15,440 --> 00:32:18,920
Speaker 1: an asshole. So this I hadn't really thought about her

512
00:32:18,960 --> 00:32:23,240
Speaker 1: for a long time because my favorite told me, they

513
00:32:23,240 --> 00:32:26,920
Speaker 1: were like, you gotta stop man your therapist Jody Sweeten. Yeah,

514
00:32:28,400 --> 00:32:32,720
Speaker 1: I didn't. So she's Kirk Cameron's sister. Is that that

515
00:32:32,840 --> 00:32:35,880
Speaker 1: like made sense of the story? You dn't. No, I

516
00:32:35,960 --> 00:32:38,600
Speaker 1: just had forgotten it, like I remembered it back then,

517
00:32:38,720 --> 00:32:40,880
Speaker 1: but like as this came up and I was like, wait,

518
00:32:41,400 --> 00:32:46,000
Speaker 1: oh right, she's part of that whole thing. So they're

519
00:32:46,040 --> 00:32:51,840
Speaker 1: a straight to crackle Jason and Justine Bateman. Yeah. So

520
00:32:51,880 --> 00:32:55,000
Speaker 1: she used to start in lots of Hallmark Channel holiday movies,

521
00:32:55,320 --> 00:32:58,200
Speaker 1: but left to star in movies for the newer conservative

522
00:32:58,280 --> 00:33:03,520
Speaker 1: Christian network Great I'm American Family, and she brought two

523
00:33:03,560 --> 00:33:06,400
Speaker 1: of her full house stars with her, including aunt Becky

524
00:33:06,440 --> 00:33:10,320
Speaker 1: herself Laurie Laughlin, and so this is this is a

525
00:33:10,360 --> 00:33:14,040
Speaker 1: big deal. You know, she's she she's a soldier in

526
00:33:14,080 --> 00:33:17,080
Speaker 1: the culture culture war. She's she's ready to put her

527
00:33:17,600 --> 00:33:19,680
Speaker 1: life and career on the line by taking a huge

528
00:33:19,680 --> 00:33:23,960
Speaker 1: pay day. Thank you for your service, ma'am. But Great

529
00:33:24,000 --> 00:33:27,640
Speaker 1: American Family describes itself as a channel celebrating faith, family,

530
00:33:27,680 --> 00:33:31,280
Speaker 1: and country and is owned by a company started by

531
00:33:31,520 --> 00:33:35,240
Speaker 1: Bill Abbott, who was the guy who was running Hallmark

532
00:33:35,400 --> 00:33:38,800
Speaker 1: when they refused to run an ad on their network

533
00:33:38,960 --> 00:33:43,480
Speaker 1: that had the same sex marriage in it. So okay, yeah, yeah,

534
00:33:43,960 --> 00:33:47,480
Speaker 1: probably the era when you couldn't have magic in Hallmark films.

535
00:33:47,560 --> 00:33:51,040
Speaker 1: That probably lines up with this guy's philosophy. Okay. So

536
00:33:51,600 --> 00:33:55,840
Speaker 1: Hallmark have made efforts to diversify their Christmas movies with

537
00:33:55,920 --> 00:34:00,000
Speaker 1: several movies featuring gay couples in recent years, and Candice

538
00:34:00,080 --> 00:34:04,880
Speaker 1: Cameron's comments were condemned by everyone from Glad to Stephanie

539
00:34:04,880 --> 00:34:11,239
Speaker 1: Tanner herself Jody Sweeten, Yeah, my therapist Stephanie Tanner for

540
00:34:11,320 --> 00:34:15,040
Speaker 1: her honestly, Yeah, I was like, I assumed she was

541
00:34:15,080 --> 00:34:16,680
Speaker 1: one of the ones that they had brought over. But

542
00:34:16,760 --> 00:34:20,320
Speaker 1: it seems like she she's come come around, you know, Yeah,

543
00:34:20,680 --> 00:34:24,080
Speaker 1: She did not say how rude because that wasn't her line, right,

544
00:34:24,160 --> 00:34:29,319
Speaker 1: not even that that was how rude. Okay, yeah, that's

545
00:34:29,320 --> 00:34:31,799
Speaker 1: why I picture one of the Olsen twins and no,

546
00:34:31,960 --> 00:34:34,719
Speaker 1: that's you got it. She said, you got it or

547
00:34:34,960 --> 00:34:43,520
Speaker 1: you got it? Mr Yea to stop stop, don't talk

548
00:34:43,560 --> 00:34:46,080
Speaker 1: about the Olsen Twins. I went to school with them,

549
00:34:46,520 --> 00:34:48,600
Speaker 1: and yeah, you did to dance with one of them

550
00:34:48,600 --> 00:34:52,879
Speaker 1: one years. That was a huge deal. When I when

551
00:34:52,880 --> 00:34:56,319
Speaker 1: I was like in college and I guess you were

552
00:34:56,360 --> 00:34:58,799
Speaker 1: in high school. I visited my friends in l A.

553
00:34:59,360 --> 00:35:02,319
Speaker 1: And they were going to a party that one of

554
00:35:02,360 --> 00:35:04,880
Speaker 1: the Olsen twins were at, and it was like a

555
00:35:04,960 --> 00:35:07,640
Speaker 1: big deal to everyone. They're like, oh my god, the

556
00:35:07,719 --> 00:35:10,319
Speaker 1: Olsen twins. So you must have been Mr king ship

557
00:35:10,480 --> 00:35:12,600
Speaker 1: Man going to a dance with one of the Olsen twins.

558
00:35:12,600 --> 00:35:14,320
Speaker 1: I don't know. I think I was just like a cool,

559
00:35:14,560 --> 00:35:17,680
Speaker 1: like chat boy of color at the school, and you know,

560
00:35:17,800 --> 00:35:20,000
Speaker 1: it just made them look cool. I don't know, you know,

561
00:35:20,040 --> 00:35:22,080
Speaker 1: that's my own self worth. I'm working through a therapy.

562
00:35:22,160 --> 00:35:25,359
Speaker 1: Why did why did they learn with me? I don't know.

563
00:35:25,800 --> 00:35:29,080
Speaker 1: I know I think about a party, a party with

564
00:35:29,120 --> 00:35:31,640
Speaker 1: the Olsen twins, like in my head, I'm like, oh,

565
00:35:31,880 --> 00:35:36,360
Speaker 1: the met gallup, Yeah, that would be pretty cool. Or

566
00:35:36,480 --> 00:35:38,560
Speaker 1: it's like when it's it's like a party like you've

567
00:35:38,680 --> 00:35:41,200
Speaker 1: never fucking experienced and you don't know if it's like

568
00:35:41,600 --> 00:35:48,359
Speaker 1: fun or totally weird and boring when you was a documentary,

569
00:35:49,080 --> 00:35:53,360
Speaker 1: like everyone's wearing newspaper masks and humming this one melody

570
00:35:53,600 --> 00:35:58,399
Speaker 1: like huh, but yeah. So she issued a non apology,

571
00:35:58,400 --> 00:36:00,880
Speaker 1: blaming the press and painting herself was the victim of

572
00:36:00,880 --> 00:36:04,200
Speaker 1: a toxic media system which falsely sought to sob division

573
00:36:04,320 --> 00:36:09,399
Speaker 1: by reprinting the thing she said, which I let let

574
00:36:09,400 --> 00:36:11,560
Speaker 1: me did I read her quote? Let let me make

575
00:36:11,600 --> 00:36:14,360
Speaker 1: sure I have it okay. So she came under fire

576
00:36:14,480 --> 00:36:17,719
Speaker 1: because in an interview in The Wall Street Journal, she

577
00:36:17,840 --> 00:36:24,200
Speaker 1: said that Gaff's Christmas content would only feature traditional marriage,

578
00:36:24,680 --> 00:36:29,600
Speaker 1: the traditional family of yes, the traditional family, of course

579
00:36:29,640 --> 00:36:32,560
Speaker 1: being three kids, one dad, his former college roommate, plus

580
00:36:32,560 --> 00:36:36,000
Speaker 1: his dead wet drum playing brother, and his entire family

581
00:36:36,440 --> 00:36:41,640
Speaker 1: all crammed into an attic. I think sometimes, and I

582
00:36:41,680 --> 00:36:43,279
Speaker 1: don't know if you saw the thing. There was this

583
00:36:43,360 --> 00:36:44,880
Speaker 1: video that was kind of blown up on the internet

584
00:36:44,880 --> 00:36:47,000
Speaker 1: about how there's this big plot hole in full House

585
00:36:47,040 --> 00:36:50,120
Speaker 1: where Uncle Jesse talks about dropping out of high school,

586
00:36:50,480 --> 00:36:53,360
Speaker 1: but then he said he didn't like in later episodes

587
00:36:53,400 --> 00:36:56,239
Speaker 1: and this guy like his mind was blown, and for

588
00:36:56,320 --> 00:36:58,880
Speaker 1: sixteen years he was trying to contact the writers of

589
00:36:58,960 --> 00:37:01,000
Speaker 1: Full House to be like, you know, like you said

590
00:37:01,040 --> 00:37:02,920
Speaker 1: he dropped out of high school in season two, right,

591
00:37:03,280 --> 00:37:06,040
Speaker 1: and like it's like a really interesting video, but they

592
00:37:06,120 --> 00:37:08,560
Speaker 1: know the guys Jesse, Uncle Jesse's a fault, so you

593
00:37:08,560 --> 00:37:10,880
Speaker 1: can drop out of high school and go on to

594
00:37:10,920 --> 00:37:15,040
Speaker 1: go to college. Like yeah, yeah, well there's uncle Jesse.

595
00:37:15,160 --> 00:37:18,120
Speaker 1: Seems like the type of person that he could have

596
00:37:18,200 --> 00:37:22,759
Speaker 1: like been valedictorian and but wouldn't tell anybody because that

597
00:37:23,080 --> 00:37:26,319
Speaker 1: undercover smart guy I didn't want to, Yeah, because he's

598
00:37:26,320 --> 00:37:30,840
Speaker 1: got this Yeah he went to m I T. Dude,

599
00:37:32,360 --> 00:37:35,640
Speaker 1: it's like the guy from the Offspring. He's really yeah.

600
00:37:35,680 --> 00:37:39,520
Speaker 1: But anyways, like that, you know, this shouldn't be that surprising,

601
00:37:39,560 --> 00:37:42,840
Speaker 1: the act of making a bigoted Christmas movie. You should

602
00:37:42,840 --> 00:37:46,400
Speaker 1: be the Cameron family crest at this point. But you know,

603
00:37:46,560 --> 00:37:50,080
Speaker 1: she once defended the Oregon bakery that illegally refused to

604
00:37:50,080 --> 00:37:53,920
Speaker 1: bake a wedding cake for a lesbian couple, So yeah,

605
00:37:54,239 --> 00:37:57,919
Speaker 1: she's not she's not for the rights of very many

606
00:37:57,920 --> 00:38:00,000
Speaker 1: people or she's for the rights of a very special

607
00:38:00,000 --> 00:38:03,120
Speaker 1: of a group of people. Yeah. Yeah, and she's also

608
00:38:03,239 --> 00:38:06,440
Speaker 1: just you know with that that whole family is you know,

609
00:38:06,600 --> 00:38:12,279
Speaker 1: all in on homophobia, especially her brother. So the Tanners, Yeah,

610
00:38:12,320 --> 00:38:16,520
Speaker 1: the whole family has really gone to ship oh Candice.

611
00:38:16,719 --> 00:38:18,600
Speaker 1: But again it's like there was another one where she's

612
00:38:18,640 --> 00:38:20,600
Speaker 1: like posted a thing where she's like on TikTok where

613
00:38:20,640 --> 00:38:23,719
Speaker 1: she's like, am I the feeling like kind of like

614
00:38:23,760 --> 00:38:26,279
Speaker 1: trying to like troll people about like what her you know,

615
00:38:26,360 --> 00:38:30,480
Speaker 1: bigoted stance was. But it's like, you're, I don't know,

616
00:38:30,600 --> 00:38:33,319
Speaker 1: she's she's she's only relevant in that she was in

617
00:38:33,320 --> 00:38:36,439
Speaker 1: a seminal show for a lot of people's childhoods. Other

618
00:38:36,520 --> 00:38:38,319
Speaker 1: than that, it's not like you're talking about like a

619
00:38:38,360 --> 00:38:40,880
Speaker 1: real mover and shaker. So it's like, I don't know, Miles,

620
00:38:40,880 --> 00:38:45,520
Speaker 1: her acting talent is undeniable. I think it's kundeniably awful. Yes,

621
00:38:46,080 --> 00:38:50,200
Speaker 1: talk about her personal life all you want, But for me,

622
00:38:50,640 --> 00:38:55,080
Speaker 1: game recognized game and I can't was the weak point

623
00:38:55,280 --> 00:38:59,040
Speaker 1: in a cast that was not was not full of

624
00:38:59,200 --> 00:39:02,080
Speaker 1: you know, the world grace actors. Somehow two of the

625
00:39:02,160 --> 00:39:06,319
Speaker 1: cast members that were incoherent babies ended up becoming the

626
00:39:06,360 --> 00:39:09,720
Speaker 1: bigger stars on that show. And we're much more talented

627
00:39:09,719 --> 00:39:12,360
Speaker 1: and gave more convincing performance, a better fashion sense to

628
00:39:12,800 --> 00:39:16,200
Speaker 1: you know, way cooler when looking or when way cooler

629
00:39:16,200 --> 00:39:18,680
Speaker 1: looking when they smoke cigarettes at a young age. And

630
00:39:18,719 --> 00:39:21,800
Speaker 1: in case it's not clear to you what safe means

631
00:39:22,000 --> 00:39:25,239
Speaker 1: in this case, last year, like that their definition of

632
00:39:25,239 --> 00:39:28,720
Speaker 1: what safe and traditional family. Last year they made twelve

633
00:39:28,800 --> 00:39:34,720
Speaker 1: Christmas movies gaff and all but one centered on straight

634
00:39:34,719 --> 00:39:39,280
Speaker 1: white characters. So wow. The other was a white savior

635
00:39:39,400 --> 00:39:44,360
Speaker 1: story and one one of the company's bankrolling The channel

636
00:39:44,520 --> 00:39:48,920
Speaker 1: belongs to a Republican National Committee co chairman and Donald

637
00:39:48,960 --> 00:39:51,560
Speaker 1: Trump tamers fan, although that could be said about probably

638
00:39:51,680 --> 00:39:57,600
Speaker 1: every company in the country. Yeah, check out Warner Discovery Plus.

639
00:39:57,880 --> 00:40:00,160
Speaker 1: You know you're gonna get some interesting stuff there. They

640
00:40:00,200 --> 00:40:02,600
Speaker 1: even have a talking point about like, these are safe

641
00:40:02,640 --> 00:40:08,040
Speaker 1: movies that value quote American culture and quote heritage. So

642
00:40:08,520 --> 00:40:10,879
Speaker 1: heritage is one of those words that it's like, oh,

643
00:40:10,920 --> 00:40:14,200
Speaker 1: you're like, you're trying to disguise it, but really not

644
00:40:14,200 --> 00:40:18,560
Speaker 1: not much. Yeah. Yeah, our heritage, as you know, violent

645
00:40:18,640 --> 00:40:22,920
Speaker 1: colonizers are heritage of putting the Confederate flag on the

646
00:40:23,560 --> 00:40:27,320
Speaker 1: on the orangetop Hazzard car, like, hey, hey, we're not

647
00:40:27,320 --> 00:40:32,520
Speaker 1: gonna slander that beautiful vehicle on this show. American culture, heritage,

648
00:40:32,560 --> 00:40:41,560
Speaker 1: and lifestyle like those are my favorite ingredients and fashionism.

649
00:40:43,160 --> 00:40:45,399
Speaker 1: All right, let's take a quick break and we're gonna

650
00:40:45,480 --> 00:40:48,239
Speaker 1: come back and talk about effective altruism. What could be

651
00:40:48,280 --> 00:41:04,360
Speaker 1: wrong with that? End? We're back and ft X collapse.

652
00:41:04,520 --> 00:41:08,799
Speaker 1: Ft X was like a crypto exchange. It was the

653
00:41:08,960 --> 00:41:10,719
Speaker 1: it was the big boy. It was the one with

654
00:41:10,760 --> 00:41:14,960
Speaker 1: the Larry David commercial for for US crypto outsiders who

655
00:41:15,000 --> 00:41:18,680
Speaker 1: haven't donated crypto in months. Like I had mentioned earlier,

656
00:41:19,080 --> 00:41:23,600
Speaker 1: it's it's the one with Larry David commercial and they're

657
00:41:23,600 --> 00:41:27,440
Speaker 1: all getting sued Tom Brady commercial and oh did you

658
00:41:27,440 --> 00:41:31,399
Speaker 1: know Tom Brady supposedly had like his entire portfolio tied

659
00:41:31,440 --> 00:41:36,719
Speaker 1: up in ft X. No, yeah, I would. That was

660
00:41:36,800 --> 00:41:40,240
Speaker 1: like I think right after like they did. It could

661
00:41:40,239 --> 00:41:43,239
Speaker 1: be a liar or whatever, but they said he was

662
00:41:43,280 --> 00:41:45,719
Speaker 1: like that's where he's like, He's like, yeah, and I

663
00:41:45,719 --> 00:41:47,839
Speaker 1: got all my money in ft X. Dude. He said

664
00:41:47,880 --> 00:41:51,400
Speaker 1: that after after it imploded or right before. This is

665
00:41:51,400 --> 00:41:54,359
Speaker 1: like before I feel like one of the like early on,

666
00:41:54,680 --> 00:41:56,719
Speaker 1: like before the way before the collapse, around the time

667
00:41:56,719 --> 00:41:58,799
Speaker 1: of the commercial, he was like raw rang, like how

668
00:41:58,840 --> 00:42:01,040
Speaker 1: great it is now? This is also the sort of

669
00:42:01,120 --> 00:42:03,920
Speaker 1: rumor you start spreading when you're in a divorce and

670
00:42:03,960 --> 00:42:07,040
Speaker 1: trying to give as little money as possible to You're

671
00:42:12,800 --> 00:42:14,640
Speaker 1: you're what are you talking about? I just saw you

672
00:42:14,680 --> 00:42:21,640
Speaker 1: in a literal rolex commercial in Forbes. Anyways, it collapsed.

673
00:42:22,280 --> 00:42:26,360
Speaker 1: I want to read about it. You know. The articles

674
00:42:26,400 --> 00:42:29,120
Speaker 1: are all like they start out with some sentences that

675
00:42:29,160 --> 00:42:31,319
Speaker 1: make you think they're gonna say this is endemic and

676
00:42:31,360 --> 00:42:35,560
Speaker 1: like this is why crypto is banks without insurance, and

677
00:42:35,680 --> 00:42:38,359
Speaker 1: it's just a way for people to steal money from you,

678
00:42:38,440 --> 00:42:41,640
Speaker 1: and it's it's got all the same problems as capitalism,

679
00:42:41,760 --> 00:42:46,680
Speaker 1: and then they immediately turned to so like here's the

680
00:42:47,120 --> 00:42:50,040
Speaker 1: Washington Post summary of it. But like other crypto exchanges,

681
00:42:50,120 --> 00:42:52,880
Speaker 1: ft X operated outside the traditional banking system, and this

682
00:42:53,000 --> 00:42:55,800
Speaker 1: created enormous risks. Though they act like banks and broker's,

683
00:42:55,840 --> 00:42:58,560
Speaker 1: crypto exchanges typically are not subject to the same type

684
00:42:58,560 --> 00:43:01,960
Speaker 1: of regulation, insurance and just closure rules that protect customers

685
00:43:02,040 --> 00:43:05,720
Speaker 1: of traditional banks. So a very like pro bank way

686
00:43:05,800 --> 00:43:09,400
Speaker 1: of like highlighting what's wrong with crypto? But then the

687
00:43:09,480 --> 00:43:12,799
Speaker 1: very next paragraph is like, at some level, the fall

688
00:43:12,840 --> 00:43:15,520
Speaker 1: of FTX is not a crypto story at all, says

689
00:43:15,560 --> 00:43:20,640
Speaker 1: Adam Levitton, a Georgetown University law professor principal at Gordian

690
00:43:21,120 --> 00:43:28,160
Speaker 1: Crypto Advisors. So it's like they say very clear thing,

691
00:43:28,680 --> 00:43:31,120
Speaker 1: very clear problems, and then back it up with some

692
00:43:31,280 --> 00:43:34,400
Speaker 1: expert from inside the world of crypto being like, crypto

693
00:43:34,560 --> 00:43:37,520
Speaker 1: is still a safe bet, folks, don't worry. It was

694
00:43:37,640 --> 00:43:39,840
Speaker 1: just this guy and the fact that he was in

695
00:43:39,920 --> 00:43:44,000
Speaker 1: the Bahamas, that like literally that his quotas people invested

696
00:43:44,040 --> 00:43:48,800
Speaker 1: billions in an unregulated financial institution based in a Caribbean island.

697
00:43:49,080 --> 00:43:52,080
Speaker 1: How could this end? Well, so it was the Caribbean.

698
00:43:53,160 --> 00:43:56,719
Speaker 1: Why yeah, the Bahamas, dude, Like think of the fire festival.

699
00:43:56,840 --> 00:44:00,000
Speaker 1: That's all that stuff happens there, right, you know, Jeff

700
00:44:00,000 --> 00:44:03,640
Speaker 1: for Epstein's island. So we know also that like first

701
00:44:03,640 --> 00:44:07,840
Speaker 1: paragraph you read, it's like it's amazing how it's like

702
00:44:08,280 --> 00:44:12,359
Speaker 1: it's so euphemistically describing a terrible fucking place to put

703
00:44:12,400 --> 00:44:15,319
Speaker 1: your money at any in any way like possible. It's

704
00:44:15,360 --> 00:44:18,160
Speaker 1: like it's like, imagine if you described a fucking hospital

705
00:44:18,400 --> 00:44:20,080
Speaker 1: like that. It's like, you know, although it comes with

706
00:44:20,160 --> 00:44:23,279
Speaker 1: enormous risks, they're not subject to the same regulations as

707
00:44:23,320 --> 00:44:26,680
Speaker 1: a hospital or safety guard. Right, You're like, hold on,

708
00:44:26,760 --> 00:44:28,719
Speaker 1: why don't you say this place is a fucking hell

709
00:44:28,880 --> 00:44:32,480
Speaker 1: escape that is just is basically a place to lure

710
00:44:32,560 --> 00:44:35,719
Speaker 1: people into getting swindled. But then no, but it's not

711
00:44:35,760 --> 00:44:39,200
Speaker 1: a great thought problem. So another big part of the

712
00:44:39,239 --> 00:44:44,359
Speaker 1: story is the Sam Bankman Freed's is that Yeah, did

713
00:44:44,400 --> 00:44:47,040
Speaker 1: I get that right? He So he's like the main

714
00:44:47,239 --> 00:44:50,200
Speaker 1: character that the media has settled on. He was like

715
00:44:50,239 --> 00:44:53,800
Speaker 1: the CEO, and he was like only twenty something, twenty

716
00:44:53,840 --> 00:44:56,400
Speaker 1: nine or thirty when he became the youngest billionaires. Yeah,

717
00:44:56,520 --> 00:44:59,359
Speaker 1: so he became a billionaire. He was like that. They

718
00:44:59,360 --> 00:45:01,920
Speaker 1: were like, he's leaps at the office because he's just

719
00:45:02,000 --> 00:45:06,200
Speaker 1: about his grind and that's the most American thing of all. Look,

720
00:45:06,280 --> 00:45:09,360
Speaker 1: he barely combs his hair. This guy is the best

721
00:45:09,600 --> 00:45:15,319
Speaker 1: and forget forget. The other part of his identity kit

722
00:45:15,440 --> 00:45:18,480
Speaker 1: was that he drove like a regular as Toyota Corolla. Yes,

723
00:45:18,600 --> 00:45:21,200
Speaker 1: and every single person was like, oh my god, dude,

724
00:45:21,200 --> 00:45:23,960
Speaker 1: this guy's a fucking billy and he's got a fucking

725
00:45:24,040 --> 00:45:27,480
Speaker 1: Corolla dog. That's the other big part of the story

726
00:45:27,640 --> 00:45:29,520
Speaker 1: is he was big in this movement. He was the

727
00:45:29,520 --> 00:45:31,920
Speaker 1: primary funder. I think we're the large one of the

728
00:45:32,040 --> 00:45:36,920
Speaker 1: fun of this movement called effective altruism, and the idea

729
00:45:37,239 --> 00:45:42,040
Speaker 1: is so it started with this like young philosophy professor

730
00:45:42,080 --> 00:45:45,640
Speaker 1: at I think Oxford, one of the colleges in the

731
00:45:45,760 --> 00:45:50,120
Speaker 1: UK that is the equivalent of Harvard and Stanford in America,

732
00:45:50,320 --> 00:45:53,040
Speaker 1: and that it is like, has a reputation as like

733
00:45:53,160 --> 00:45:58,520
Speaker 1: this super independent, left leaning learning institution, but it is

734
00:45:59,080 --> 00:46:04,520
Speaker 1: uh said, as a reputation as Hogworths. It's like Hogwarths. Yeah,

735
00:46:04,560 --> 00:46:11,680
Speaker 1: it is like yes, yes, but anyways, it also apparently

736
00:46:11,719 --> 00:46:15,160
Speaker 1: has a big, you know, contingent of people who immediately

737
00:46:15,320 --> 00:46:20,720
Speaker 1: go into investment, banking and finance. And so this dude

738
00:46:20,760 --> 00:46:24,920
Speaker 1: starts out and he's like he has this utilitarian philosophy.

739
00:46:24,960 --> 00:46:27,360
Speaker 1: That's like, okay, so the thing that we need to

740
00:46:27,360 --> 00:46:29,640
Speaker 1: do is get as many of the wealthiest people in

741
00:46:29,680 --> 00:46:32,680
Speaker 1: the world as possible to do as much good with

742
00:46:32,719 --> 00:46:36,239
Speaker 1: their money as possible. His first instinct was good. He

743
00:46:36,320 --> 00:46:38,879
Speaker 1: was like, okay, so I'm gonna look at all the

744
00:46:38,920 --> 00:46:44,200
Speaker 1: different funds that help people in poor and developing countries,

745
00:46:44,400 --> 00:46:49,000
Speaker 1: and you know, for like, his argument was basically like

746
00:46:49,080 --> 00:46:52,680
Speaker 1: you could go become a doctor and save hundreds of people,

747
00:46:52,840 --> 00:46:56,480
Speaker 1: or you could go become an investment banker and fund

748
00:46:56,520 --> 00:47:00,799
Speaker 1: like these funds that save thousands, hundreds of thousands of

749
00:47:00,840 --> 00:47:05,160
Speaker 1: people with donations, and like that that's where his mind

750
00:47:05,239 --> 00:47:08,240
Speaker 1: was at, and like you can see where he's at

751
00:47:08,280 --> 00:47:12,440
Speaker 1: in the early stages, and he gets Sam Bankman Freed

752
00:47:12,520 --> 00:47:15,520
Speaker 1: onto his side, which is why Sam Bankman freed like

753
00:47:15,640 --> 00:47:18,719
Speaker 1: drove a shitty car. Like everybody involved in this like

754
00:47:18,800 --> 00:47:23,279
Speaker 1: personally donates like almost all their money and but but

755
00:47:23,400 --> 00:47:29,160
Speaker 1: they're also very like finance brained. Yeah, well because a

756
00:47:29,160 --> 00:47:30,839
Speaker 1: lot of the people that go into there's like a

757
00:47:30,880 --> 00:47:33,640
Speaker 1: schism in the movement where a lot of people were

758
00:47:33,719 --> 00:47:38,040
Speaker 1: just thinking, Okay. The classic example is like mosquito nets

759
00:47:38,080 --> 00:47:42,160
Speaker 1: and how investing in mosquito nets can actually have widespread

760
00:47:42,200 --> 00:47:46,759
Speaker 1: effect in preventing like like uncounted deaths, like untold death

761
00:47:47,080 --> 00:47:48,719
Speaker 1: and by saying, hey, this is a cheap thing we

762
00:47:48,760 --> 00:47:51,200
Speaker 1: can do. It's scales and it helps a lot of people,

763
00:47:51,560 --> 00:47:53,759
Speaker 1: then it turns into this thing where people can either

764
00:47:53,840 --> 00:47:56,480
Speaker 1: be like you either got to be the only way

765
00:47:56,520 --> 00:47:58,680
Speaker 1: you get into it now is you gotta have some

766
00:47:58,800 --> 00:48:02,719
Speaker 1: kind of fucking dis run grass industry level like business

767
00:48:02,800 --> 00:48:06,600
Speaker 1: or something, or you earn to give Like, then your

768
00:48:06,640 --> 00:48:09,919
Speaker 1: mindset is make as much fucking money as you can

769
00:48:10,200 --> 00:48:12,680
Speaker 1: by any means possible, so you can put it into

770
00:48:12,760 --> 00:48:15,280
Speaker 1: effect of altruism is like, then that's when it starts

771
00:48:15,280 --> 00:48:18,759
Speaker 1: getting like, oh, so now we're rationalizing making a lot

772
00:48:18,840 --> 00:48:22,200
Speaker 1: of money. That's what this is now becoming yeah, and

773
00:48:22,239 --> 00:48:24,680
Speaker 1: then giving it away, which like, if you can convince

774
00:48:24,760 --> 00:48:26,879
Speaker 1: all these very wealthy people to give all their money

775
00:48:26,880 --> 00:48:30,759
Speaker 1: away to like things that actually help rather than to

776
00:48:31,040 --> 00:48:36,600
Speaker 1: like them thinking because like a big problem with like this.

777
00:48:36,360 --> 00:48:39,080
Speaker 1: This is similar to the philosophy of like a lot

778
00:48:39,120 --> 00:48:42,360
Speaker 1: of like billionaires in the United States where they're like, okay, well,

779
00:48:42,640 --> 00:48:45,319
Speaker 1: like I'll just become a billionaire and then I'll give

780
00:48:45,360 --> 00:48:48,960
Speaker 1: the money away rather than like letting the country text me.

781
00:48:49,239 --> 00:48:52,960
Speaker 1: The problem with that strategy is like rich people like

782
00:48:53,160 --> 00:48:56,279
Speaker 1: money the most. They like money more than anyone has

783
00:48:56,320 --> 00:49:00,560
Speaker 1: ever liked anything. And they once yeah, well they stand it.

784
00:49:00,680 --> 00:49:03,359
Speaker 1: Even so once they once they get a lot of it,

785
00:49:03,440 --> 00:49:07,520
Speaker 1: they are they actually become much less likely than they

786
00:49:07,560 --> 00:49:09,680
Speaker 1: thought they were at the beginning to give any of

787
00:49:09,680 --> 00:49:13,000
Speaker 1: it away. And to like in this case, you know,

788
00:49:13,080 --> 00:49:16,000
Speaker 1: with Sam Bankman Freed, like you're a dipship twenty nine

789
00:49:16,080 --> 00:49:19,040
Speaker 1: year old crypto billionaire who made billions of dollars off

790
00:49:19,080 --> 00:49:21,799
Speaker 1: of finding a way to defraud people like you have

791
00:49:21,880 --> 00:49:26,080
Speaker 1: absolutely no authority, no moral like structure at all, no

792
00:49:26,160 --> 00:49:28,880
Speaker 1: way of knowing where that money should go. You are

793
00:49:28,920 --> 00:49:31,480
Speaker 1: the product of a system that is predatory. You're going

794
00:49:31,520 --> 00:49:35,239
Speaker 1: to be surrounded by predators, so like you're not the

795
00:49:35,280 --> 00:49:39,560
Speaker 1: person to decide that. This movement, at least initially was like, well,

796
00:49:39,680 --> 00:49:42,120
Speaker 1: we you give our your money to us. I am

797
00:49:42,160 --> 00:49:45,560
Speaker 1: a smart philosopher who has like run the numbers. I

798
00:49:45,600 --> 00:49:49,080
Speaker 1: will take that money and put it in the smartest place. Unfortunately,

799
00:49:49,280 --> 00:49:53,760
Speaker 1: that philosopher king guy who originally like convinced him, he

800
00:49:54,239 --> 00:49:57,800
Speaker 1: spends like the next decade of his life with crypto

801
00:49:57,920 --> 00:50:04,880
Speaker 1: people and finance people, and he like just becomes very

802
00:50:04,920 --> 00:50:07,840
Speaker 1: I don't know, Like you can just see the way

803
00:50:07,880 --> 00:50:13,319
Speaker 1: that money infects the truth that are like you. Like,

804
00:50:13,400 --> 00:50:17,719
Speaker 1: for instance, they keep skipping over climate as a thing

805
00:50:18,000 --> 00:50:21,399
Speaker 1: to be worried about, and like his justification is like,

806
00:50:21,640 --> 00:50:25,160
Speaker 1: well a lot of climate groups aren't for cap and trade,

807
00:50:25,400 --> 00:50:28,760
Speaker 1: which is like, you know, you treat the climate crisis

808
00:50:28,880 --> 00:50:32,839
Speaker 1: like a stock market and it'll solve itself. Essentially. That's

809
00:50:32,880 --> 00:50:36,080
Speaker 1: his like first argument against it, and then the second one,

810
00:50:36,360 --> 00:50:40,760
Speaker 1: which is fucking wild they're like talking about. So eventually

811
00:50:40,840 --> 00:50:44,640
Speaker 1: they moved to this like near term its stuff like bednets,

812
00:50:44,680 --> 00:50:47,160
Speaker 1: And there's even a part where sand Bankman Freed is like,

813
00:50:47,360 --> 00:50:50,479
Speaker 1: I never really went through the bednets phase of this,

814
00:50:50,800 --> 00:50:53,440
Speaker 1: like because because that's all in motion how to use

815
00:50:53,480 --> 00:50:57,640
Speaker 1: your money efficiently for the greatest outcome, which that's all

816
00:50:57,680 --> 00:51:03,319
Speaker 1: emotionally driven miles and more with a long termist mindset, right,

817
00:51:04,360 --> 00:51:09,000
Speaker 1: And so he fun, what would I say, It's it's

818
00:51:09,040 --> 00:51:12,759
Speaker 1: like so fucking mind boggling and infuriating. Well, I mean,

819
00:51:12,840 --> 00:51:16,160
Speaker 1: you can't really care about the environment and be super

820
00:51:16,200 --> 00:51:20,000
Speaker 1: into crypto at the same time with how much damage.

821
00:51:21,480 --> 00:51:23,960
Speaker 1: But the idea too of being into long term is

822
00:51:24,080 --> 00:51:29,160
Speaker 1: m and ignoring the health of the planet, Like how

823
00:51:29,200 --> 00:51:32,359
Speaker 1: long is this term exactly that you're considering. Well, so

824
00:51:32,440 --> 00:51:35,520
Speaker 1: they start they're like now like, well, actually, when you

825
00:51:35,600 --> 00:51:38,880
Speaker 1: have like these small threats over a long enough time,

826
00:51:39,040 --> 00:51:42,719
Speaker 1: because the population is going to grow, investing a small

827
00:51:42,719 --> 00:51:45,319
Speaker 1: amount and a small threat now will actually have the

828
00:51:45,360 --> 00:51:48,920
Speaker 1: greater impact like years and years from now, but they

829
00:51:49,040 --> 00:51:53,759
Speaker 1: just have they have this outsized opinion of their own

830
00:51:53,760 --> 00:51:56,080
Speaker 1: ability to like know what the problems are going to

831
00:51:56,160 --> 00:51:59,400
Speaker 1: be in the two hundred years they so they fixate

832
00:51:59,400 --> 00:52:03,080
Speaker 1: instead of being fixating on climate change, they fucking fixate

833
00:52:03,200 --> 00:52:08,120
Speaker 1: on AI and like the terminator of Pucklyse, that's what

834
00:52:08,200 --> 00:52:10,440
Speaker 1: they're focused on. That's what they're like putting a lot

835
00:52:10,440 --> 00:52:14,440
Speaker 1: of their money into the So like this part in

836
00:52:14,480 --> 00:52:16,960
Speaker 1: the New York article that they say, this is a quote.

837
00:52:16,960 --> 00:52:20,120
Speaker 1: The major contributor to existential risk, according to them, was

838
00:52:20,160 --> 00:52:23,280
Speaker 1: not climate change, which even in a worst case scenario,

839
00:52:23,800 --> 00:52:27,960
Speaker 1: is unlikely to render the planet wholly uninhabitable. New Zealand,

840
00:52:28,000 --> 00:52:31,880
Speaker 1: for example, might be fine. Instead, he singles out engineered

841
00:52:31,920 --> 00:52:37,040
Speaker 1: pathogens and runaway artificial intelligence. And then I also want

842
00:52:37,080 --> 00:52:41,960
Speaker 1: to read a quote from somebody within this movement later on,

843
00:52:42,000 --> 00:52:45,279
Speaker 1: because that this also really informs this world view. Nick

844
00:52:45,320 --> 00:52:48,000
Speaker 1: be Stead, the philosopher at the Helm of the Future Fund,

845
00:52:48,239 --> 00:52:52,799
Speaker 1: remarked in his thirteen dissertation, richer countries have substantially more

846
00:52:52,920 --> 00:52:56,960
Speaker 1: innovation and their workers are much more economically productive by

847
00:52:57,080 --> 00:53:01,680
Speaker 1: ordinary standards, at least by ordinary enlightened human humanitarian standards,

848
00:53:01,920 --> 00:53:05,120
Speaker 1: Saving and improving lives in rich countries is about equal

849
00:53:05,840 --> 00:53:08,880
Speaker 1: is about equally as important as saving and improving lives

850
00:53:08,880 --> 00:53:12,719
Speaker 1: and poor countries, provided lives are improved by roughly comparable amounts.

851
00:53:12,760 --> 00:53:15,640
Speaker 1: But it now seems more plausible to me that saving

852
00:53:15,640 --> 00:53:18,719
Speaker 1: a life in a rich country is substantially more important

853
00:53:18,840 --> 00:53:22,120
Speaker 1: than saving a life in a poor country. So it's

854
00:53:22,520 --> 00:53:27,200
Speaker 1: Jonathan Swift. Yeah, but like they're open about this ship.

855
00:53:27,239 --> 00:53:29,440
Speaker 1: They're just like because then you can make more money,

856
00:53:29,680 --> 00:53:32,440
Speaker 1: which allows you to solve more problems. But it's just

857
00:53:32,520 --> 00:53:36,359
Speaker 1: they've been fucking they've been incepted by money, and like

858
00:53:36,400 --> 00:53:39,040
Speaker 1: that's that's the thing with the like all the writing

859
00:53:39,080 --> 00:53:41,319
Speaker 1: about f t X that I was just hit by

860
00:53:41,400 --> 00:53:45,439
Speaker 1: over and over again, is that until nobody can make

861
00:53:45,760 --> 00:53:49,080
Speaker 1: billions of dollars off of crypto, they won't write the

862
00:53:49,120 --> 00:53:53,680
Speaker 1: truth about crypto because in our society and our version

863
00:53:53,719 --> 00:53:57,600
Speaker 1: of capitalism, like hyper capitalism, that it's not just like

864
00:53:57,960 --> 00:54:00,640
Speaker 1: that they have a bias towards what may the most money,

865
00:54:00,680 --> 00:54:03,480
Speaker 1: it's that like what is going to make the most money,

866
00:54:03,600 --> 00:54:08,560
Speaker 1: like gravitationally pools, like their perception of what the truth is. Yeah,

867
00:54:08,600 --> 00:54:11,840
Speaker 1: because because like that is the thing that the business

868
00:54:11,920 --> 00:54:14,040
Speaker 1: section is going to write about, and that is the

869
00:54:14,040 --> 00:54:16,880
Speaker 1: thing that the owners of these newspapers are going to

870
00:54:16,920 --> 00:54:20,040
Speaker 1: care about. It's just like we're watching this thing where

871
00:54:20,040 --> 00:54:22,200
Speaker 1: we're saying the same thing over and over again, where

872
00:54:22,200 --> 00:54:24,680
Speaker 1: we're like, yeah, crypto seems like a scam. Everybody can

873
00:54:24,719 --> 00:54:26,280
Speaker 1: kind of look at it and see it's a scam,

874
00:54:26,520 --> 00:54:29,480
Speaker 1: and yet the mainstream media just keeps writing these fucking

875
00:54:29,480 --> 00:54:33,439
Speaker 1: gullible articles that are like these accounts of yeah, well

876
00:54:33,719 --> 00:54:36,160
Speaker 1: we don't know what happened. Again, it seems like maybe

877
00:54:36,200 --> 00:54:38,560
Speaker 1: this guy was crazy, and then like doing the New

878
00:54:38,600 --> 00:54:42,120
Speaker 1: York Times things like let's ask the cops, right, yeah,

879
00:54:42,400 --> 00:54:45,400
Speaker 1: like you're not gonna like get a real computer scientists

880
00:54:45,440 --> 00:54:47,360
Speaker 1: there to tell you how much of a fucking sham

881
00:54:47,440 --> 00:54:50,839
Speaker 1: crypto is in general, and then start your fucking analysis

882
00:54:50,880 --> 00:54:54,800
Speaker 1: from there to say, like, look at disaster after disaster,

883
00:54:54,880 --> 00:54:58,520
Speaker 1: at these companies showing up and becoming as the guy said,

884
00:54:58,760 --> 00:55:02,000
Speaker 1: this thing's worse than fun and ron, you know, like,

885
00:55:02,120 --> 00:55:03,600
Speaker 1: how are you then being like, yeah, this isn't a

886
00:55:03,680 --> 00:55:07,319
Speaker 1: crypto prom it is. It's unregulated, and so much of

887
00:55:07,360 --> 00:55:09,880
Speaker 1: the market is driven by these like whales trying to

888
00:55:09,920 --> 00:55:12,160
Speaker 1: get out now and normalize crypto use so they can

889
00:55:12,200 --> 00:55:15,239
Speaker 1: cash the funk out. And it's also like this other

890
00:55:15,280 --> 00:55:18,640
Speaker 1: thing too, where just like crypto, even within effect of altruism,

891
00:55:18,680 --> 00:55:21,799
Speaker 1: like if you were actively questioning like they would, they

892
00:55:21,920 --> 00:55:24,239
Speaker 1: they would have open forms and discuss things. But if

893
00:55:24,239 --> 00:55:26,400
Speaker 1: you were like actively questioning, like I think it's a

894
00:55:26,400 --> 00:55:28,319
Speaker 1: better way to do it, they kind of treated how

895
00:55:28,320 --> 00:55:30,680
Speaker 1: they would people who were like crypto, like fudd people

896
00:55:31,120 --> 00:55:32,960
Speaker 1: who are like being like, oh, you're just trying to

897
00:55:33,000 --> 00:55:36,120
Speaker 1: fucking so dis like you know, distrust and stuff, and

898
00:55:36,160 --> 00:55:38,600
Speaker 1: like you're not, You're not actually about this, You're a hater.

899
00:55:39,000 --> 00:55:42,600
Speaker 1: And again it further insulates itself from actually any critical

900
00:55:42,640 --> 00:55:46,200
Speaker 1: analysis of what they're doing. And it's like even the

901
00:55:46,280 --> 00:55:49,000
Speaker 1: momentum of Sam Bankman Freed is like this thing where

902
00:55:49,160 --> 00:55:52,640
Speaker 1: people get so caught up in this billionaire worship they

903
00:55:52,719 --> 00:55:55,560
Speaker 1: never for a second this guy is could be full

904
00:55:55,600 --> 00:55:58,720
Speaker 1: of ship, like the six hundred people that came before

905
00:55:58,800 --> 00:56:01,840
Speaker 1: him on the same thing, Like I've got this great idea.

906
00:56:01,880 --> 00:56:07,279
Speaker 1: I'm Elizabeth Holmes. Oh wait, it's bullshit. I'm Elon Musk. No,

907
00:56:07,520 --> 00:56:10,320
Speaker 1: You're like, no, this this is all this is all horseship.

908
00:56:10,719 --> 00:56:13,440
Speaker 1: You know by the way, commented on that philosopher like

909
00:56:13,680 --> 00:56:17,240
Speaker 1: leader guys last book, being like this book is actually

910
00:56:17,239 --> 00:56:20,520
Speaker 1: a pretty close match to my philosophy. So he's going

911
00:56:20,600 --> 00:56:23,160
Speaker 1: to be on the philosopher king. Yeah, as he now

912
00:56:23,200 --> 00:56:26,120
Speaker 1: tries to inseminate the planet. So there's many people with

913
00:56:26,200 --> 00:56:28,719
Speaker 1: his d n A running around, which is his end game.

914
00:56:28,800 --> 00:56:31,680
Speaker 1: It seems like, yeah, based on his love of Genghis Khan.

915
00:56:31,840 --> 00:56:35,880
Speaker 1: So but it is like really interesting that, like I

916
00:56:35,920 --> 00:56:39,720
Speaker 1: think there's something at a subconscious level that's happening because

917
00:56:39,760 --> 00:56:44,719
Speaker 1: they've fixated on the singularity and like this robot apocalypse

918
00:56:44,760 --> 00:56:48,640
Speaker 1: where the robots become like out of control, so much

919
00:56:48,680 --> 00:56:51,560
Speaker 1: smarter and they're thinking faster than us, and they decided

920
00:56:51,600 --> 00:56:54,600
Speaker 1: to kill us. Because that is like, actually, what is

921
00:56:54,640 --> 00:56:58,160
Speaker 1: happening with capitalism, Like the singularity has happened with care

922
00:56:59,160 --> 00:57:02,520
Speaker 1: When you are doing an analysis of human lives and

923
00:57:02,560 --> 00:57:05,360
Speaker 1: you're like the ones that make more money are the

924
00:57:05,400 --> 00:57:10,080
Speaker 1: ones that are more valuable, Like that you have completely

925
00:57:10,200 --> 00:57:12,480
Speaker 1: like the money has gotten in and is doing the

926
00:57:12,560 --> 00:57:15,600
Speaker 1: thinking for you, and you are no longer like the

927
00:57:15,880 --> 00:57:19,640
Speaker 1: singularity has happened, and it's very smart. It's a hyper

928
00:57:19,720 --> 00:57:25,040
Speaker 1: like machine, like you know, nanotechnology that is everywhere, and

929
00:57:25,160 --> 00:57:29,600
Speaker 1: it destroys any amount of like thinking, and like this

930
00:57:29,720 --> 00:57:33,120
Speaker 1: idea that started with like let's get bednets to people

931
00:57:33,360 --> 00:57:39,480
Speaker 1: who are suffering by inviting, by inviting like fucking investment

932
00:57:39,520 --> 00:57:44,320
Speaker 1: bankers to the conversation becomes this like thing that's all

933
00:57:44,360 --> 00:57:48,560
Speaker 1: about like just denying climate change is a problem, and

934
00:57:48,920 --> 00:57:52,720
Speaker 1: like focusing on spending money and things that can like

935
00:57:52,920 --> 00:57:58,600
Speaker 1: disrupt their you know, disrupt industries basically to generate more money.

936
00:57:58,640 --> 00:58:03,280
Speaker 1: It's just it just becomes another money making scheme. No no, no, no, no,

937
00:58:03,280 --> 00:58:06,720
Speaker 1: no no. You so like you just gotta get on

938
00:58:06,720 --> 00:58:11,040
Speaker 1: board with this stuff. Okay, so here me out. Okay,

939
00:58:11,080 --> 00:58:15,840
Speaker 1: we got that, we got these nets, old news, cold potatoes. Okay,

940
00:58:16,360 --> 00:58:22,520
Speaker 1: we put vaccines in the mosquitoes, I mean, hair down

941
00:58:22,520 --> 00:58:27,480
Speaker 1: the nets and unless now now the mosquitoes are mosquitoes

942
00:58:27,520 --> 00:58:33,080
Speaker 1: for good. Yeah yeah, send me, send me a doze,

943
00:58:34,040 --> 00:58:36,880
Speaker 1: send me everyone out there on radio land, and I

944
00:58:36,920 --> 00:58:43,840
Speaker 1: will I'll start start pumping these skeeters for horse horse medicine.

945
00:58:44,240 --> 00:58:45,760
Speaker 1: I think at the end of the day, it's just

946
00:58:46,440 --> 00:58:50,560
Speaker 1: it's anything that billionaires are engaging in too like rationalize

947
00:58:50,600 --> 00:58:52,960
Speaker 1: their wealth is just going to be corrupted. By the

948
00:58:52,960 --> 00:58:57,160
Speaker 1: fact that they're like engaged in this like massive accumulation

949
00:58:57,200 --> 00:58:59,280
Speaker 1: of wealth to begin with, because so many of them

950
00:58:59,360 --> 00:59:02,680
Speaker 1: are being like, Okay, Normally, I usually feel bad that

951
00:59:02,760 --> 00:59:05,160
Speaker 1: I know I'm just sucking up all the wealth out

952
00:59:05,200 --> 00:59:07,960
Speaker 1: of it like a given place. But now, but the

953
00:59:08,000 --> 00:59:10,520
Speaker 1: thing is, I'm actually doing it for effective altruism, where

954
00:59:10,520 --> 00:59:14,640
Speaker 1: I will fight the robots, so then it's okay, I'll

955
00:59:14,680 --> 00:59:18,720
Speaker 1: make so much robot money the robots won't be able

956
00:59:18,760 --> 00:59:22,600
Speaker 1: to have money. Exactly where are they gonna plug in

957
00:59:22,640 --> 00:59:25,640
Speaker 1: at night? Nowhere? Because I will be in poor robot

958
00:59:25,680 --> 00:59:29,320
Speaker 1: countries and we're not going to help those rot right.

959
00:59:29,720 --> 00:59:32,440
Speaker 1: The New York article is definitely worth reading. It's like

960
00:59:32,520 --> 00:59:35,640
Speaker 1: it ends with the reporter on a walk with this

961
00:59:35,680 --> 00:59:38,800
Speaker 1: guy who's like this hot shit philosopher, Like he's the

962
00:59:38,880 --> 00:59:43,680
Speaker 1: youngest philosopher teacher philosophy professor ever to teach at Oxford,

963
00:59:43,840 --> 00:59:47,240
Speaker 1: and like he's the head of this like multibillion dollar fund.

964
00:59:47,320 --> 00:59:50,680
Speaker 1: And he's like walking past this park that has been

965
00:59:50,720 --> 00:59:54,320
Speaker 1: taken over as like a like in tent city, and

966
00:59:54,680 --> 00:59:56,840
Speaker 1: she's like in his eyes just kind of flicked past that,

967
00:59:56,880 --> 00:59:58,640
Speaker 1: and he like looks at the horizon and he's like,

968
00:59:58,680 --> 01:00:01,479
Speaker 1: I just I really, we're not focusing on the wrong

969
01:00:01,600 --> 01:00:05,280
Speaker 1: problems with this like AI apocalypse thing, but like doesn't

970
01:00:05,320 --> 01:00:08,320
Speaker 1: even comment on that ship, and like the New York

971
01:00:08,400 --> 01:00:11,120
Speaker 1: article doesn't even comment on the fact that he's like

972
01:00:11,280 --> 01:00:15,920
Speaker 1: not worried about fucking climate change. They're they're just like

973
01:00:16,240 --> 01:00:20,120
Speaker 1: they just take the fucking New Zealand thing like at

974
01:00:20,160 --> 01:00:22,360
Speaker 1: face value. It's like, do you think it might be

975
01:00:22,160 --> 01:00:25,640
Speaker 1: because like so much of the existing economy that is

976
01:00:25,640 --> 01:00:29,520
Speaker 1: funding his movement is tied up in fossil fuels, and

977
01:00:30,240 --> 01:00:33,600
Speaker 1: like that he just can't he can can't deal with

978
01:00:34,000 --> 01:00:37,560
Speaker 1: any reality that might so he's just he's all he's

979
01:00:37,600 --> 01:00:42,080
Speaker 1: probably buying into all the ship they're saying about, like, well,

980
01:00:42,120 --> 01:00:45,440
Speaker 1: BP actually believes in a better future, you know what

981
01:00:45,640 --> 01:00:48,720
Speaker 1: fucking knows. I mean, I think it's it's just fucked up,

982
01:00:48,760 --> 01:00:53,520
Speaker 1: because effective altruism, if you've done correctly, seems like a

983
01:00:53,600 --> 01:00:56,320
Speaker 1: quite a beneficial force on the planet. And I think

984
01:00:56,400 --> 01:00:58,880
Speaker 1: that's why a lot of critics too, are like they're

985
01:00:58,920 --> 01:01:01,480
Speaker 1: like this could either completely funk up the idea that

986
01:01:01,480 --> 01:01:04,520
Speaker 1: this is worth something doing, or like maybe they can

987
01:01:04,560 --> 01:01:07,920
Speaker 1: actually kind of get find a way to like reform

988
01:01:08,000 --> 01:01:11,080
Speaker 1: this movement a bit understanding, like these were the pitfalls

989
01:01:11,120 --> 01:01:13,040
Speaker 1: that we fell into that like a lot of critics

990
01:01:13,040 --> 01:01:15,120
Speaker 1: and people who left the movement like this is bad.

991
01:01:15,200 --> 01:01:17,080
Speaker 1: You aren't going to do the right thing by having

992
01:01:17,080 --> 01:01:20,120
Speaker 1: more of these people in here. Yeah. So no, they're

993
01:01:20,120 --> 01:01:22,959
Speaker 1: fucked by the way, like they're like I've seen those

994
01:01:23,280 --> 01:01:25,800
Speaker 1: but like you can see it in the way that

995
01:01:25,840 --> 01:01:29,080
Speaker 1: the guy, the philosophy professor, guy who heads up the

996
01:01:29,120 --> 01:01:33,800
Speaker 1: fund response to criticism and he's just like, I'd love

997
01:01:33,880 --> 01:01:36,200
Speaker 1: to hear it out, and like the person is like, well,

998
01:01:36,240 --> 01:01:39,960
Speaker 1: maybe like instead of you just deciding what's done with

999
01:01:40,000 --> 01:01:44,840
Speaker 1: the money, you like open it up. He's like, he

1000
01:01:44,920 --> 01:01:47,400
Speaker 1: takes it. It's exactly like Zuckerberg. He takes it in.

1001
01:01:47,560 --> 01:01:49,800
Speaker 1: And then they're like, and he ignores the funk out

1002
01:01:49,840 --> 01:01:52,440
Speaker 1: of it. He seems very receptive to it and ignores

1003
01:01:52,440 --> 01:01:54,920
Speaker 1: the funk out of right, right, right, Yeah, they're they're fucked,

1004
01:01:55,000 --> 01:01:58,640
Speaker 1: But there there is a there is room for a

1005
01:01:58,680 --> 01:02:02,680
Speaker 1: movement like this the is not centralized and does not

1006
01:02:03,080 --> 01:02:08,520
Speaker 1: have the like does not have any like influence coming

1007
01:02:08,560 --> 01:02:11,880
Speaker 1: in from like the world of finance and investment banks.

1008
01:02:11,960 --> 01:02:15,480
Speaker 1: But like that's what like no Angel investors allowed but

1009
01:02:15,880 --> 01:02:18,080
Speaker 1: that's the sort of thing. And what's wild is, on

1010
01:02:18,120 --> 01:02:20,120
Speaker 1: top of all that, a ton of people who got

1011
01:02:20,960 --> 01:02:24,680
Speaker 1: unfortunately duped into this ft X nonsense and are now

1012
01:02:26,360 --> 01:02:29,560
Speaker 1: creating a more disenfranchised people who have bought into it.

1013
01:02:29,800 --> 01:02:33,560
Speaker 1: The guy was just missing bednets as a phase that

1014
01:02:33,760 --> 01:02:36,200
Speaker 1: like people who want to help people like go through

1015
01:02:36,280 --> 01:02:38,840
Speaker 1: because it like makes them feel good emotionally, but it's

1016
01:02:38,840 --> 01:02:41,600
Speaker 1: actually not the real problem, and was giving himself credit

1017
01:02:41,680 --> 01:02:44,120
Speaker 1: for like knowing what the problems were going to be

1018
01:02:44,160 --> 01:02:46,680
Speaker 1: a hundred and fifty years from now. He was not

1019
01:02:46,840 --> 01:02:50,120
Speaker 1: perceptive enough to see the problem in his own fucking

1020
01:02:50,160 --> 01:02:55,080
Speaker 1: company that like lost thousands of people, like ruined thousands

1021
01:02:55,080 --> 01:02:57,080
Speaker 1: of people's lives. But I think there's also that. I

1022
01:02:57,120 --> 01:02:58,960
Speaker 1: think there's also a lot to say that Sam bank

1023
01:02:59,000 --> 01:03:00,920
Speaker 1: Men Freed was just full of it the whole time too,

1024
01:03:01,040 --> 01:03:03,560
Speaker 1: you know, because like he was giving like that Vox

1025
01:03:03,600 --> 01:03:05,800
Speaker 1: interview or like those d M s he was exchanged

1026
01:03:05,880 --> 01:03:07,480
Speaker 1: and he was like, yeah, I was just saying, you know,

1027
01:03:07,480 --> 01:03:09,400
Speaker 1: it's like I'm just saying the right ship to keep

1028
01:03:09,440 --> 01:03:12,520
Speaker 1: my fucking image up, and you're like, what the fuck?

1029
01:03:12,920 --> 01:03:14,960
Speaker 1: And I think it just shows again he said something

1030
01:03:14,960 --> 01:03:16,960
Speaker 1: really interesting He's like, you know, you go and you like,

1031
01:03:17,040 --> 01:03:19,960
Speaker 1: you basically go and you recite like the right chibblets

1032
01:03:20,040 --> 01:03:22,080
Speaker 1: and you know, show that you have your collection of

1033
01:03:22,120 --> 01:03:25,160
Speaker 1: the right opinion societally and that's enough to get you

1034
01:03:25,200 --> 01:03:26,560
Speaker 1: in the door at a lot of places. And I'm like,

1035
01:03:26,600 --> 01:03:28,960
Speaker 1: you know, you said the quiet part out loud right

1036
01:03:28,960 --> 01:03:31,560
Speaker 1: there where it's like, you say the right things and

1037
01:03:31,720 --> 01:03:35,040
Speaker 1: enough people will believe that whatever adventure you're on is

1038
01:03:35,160 --> 01:03:38,000
Speaker 1: noble or whatever. And then I don't know, I just

1039
01:03:38,080 --> 01:03:41,200
Speaker 1: kept going from there. It's just yeah, read those interviews

1040
01:03:41,200 --> 01:03:44,040
Speaker 1: to like, especially in the fallout of it, this guy

1041
01:03:44,240 --> 01:03:46,680
Speaker 1: is he doesn't know when to stop talking, although him

1042
01:03:46,720 --> 01:03:50,640
Speaker 1: talking has been very illuminating. Yeah, well, Steve, truly a

1043
01:03:50,680 --> 01:03:54,840
Speaker 1: pleasure is always having you. Where can people find you?

1044
01:03:55,000 --> 01:04:02,080
Speaker 1: And fully, uh it's the ram for sure. Wilbur with

1045
01:04:02,200 --> 01:04:08,600
Speaker 1: any spelled out Wilber with any other platforms, TB DU Yeah, Yeah,

1046
01:04:08,600 --> 01:04:12,120
Speaker 1: we'll see, We'll see, we'll see. Yeah. Yeah. Is there

1047
01:04:12,240 --> 01:04:14,040
Speaker 1: is there a tweet or some of the work of

1048
01:04:14,120 --> 01:04:16,920
Speaker 1: social media? You've been looking your box of ashes, you've

1049
01:04:16,920 --> 01:04:20,680
Speaker 1: seen anything. I wanted to pour one out for a legend,

1050
01:04:21,000 --> 01:04:24,680
Speaker 1: and I can't find it. Somebody somebody shout out of

1051
01:04:24,760 --> 01:04:27,640
Speaker 1: the comments what it was? Do you remember that tweet

1052
01:04:27,880 --> 01:04:31,160
Speaker 1: from It was an account saying they were Dr Frank

1053
01:04:31,200 --> 01:04:36,120
Speaker 1: further from Rocky Horror and they did the like I

1054
01:04:36,160 --> 01:04:41,680
Speaker 1: bet you're trembling with Antissa and then five years later

1055
01:04:42,400 --> 01:04:49,160
Speaker 1: tweetedati like Twitter. Twitter didn't get better than that afterwards.

1056
01:04:49,200 --> 01:04:53,800
Speaker 1: So yeah, out, Miles, where can people find you? What's

1057
01:04:53,800 --> 01:04:56,880
Speaker 1: a tweet you've been enjoying? Ah Man, find me on

1058
01:04:56,920 --> 01:05:00,240
Speaker 1: Twitter and Instagram? Just if there's if there's an ad bull,

1059
01:05:00,280 --> 01:05:02,720
Speaker 1: Miles a great good chance I'm there at least having

1060
01:05:02,800 --> 01:05:05,480
Speaker 1: account god And also mad Boost He's Miles and Jack

1061
01:05:05,520 --> 01:05:10,200
Speaker 1: got Mad Boost East are top rated basketball podcast and

1062
01:05:10,240 --> 01:05:13,680
Speaker 1: also for twenty Fiance. Check that other show out as well.

1063
01:05:14,040 --> 01:05:18,800
Speaker 1: There is let's see, let's see, uh got some good

1064
01:05:18,840 --> 01:05:23,520
Speaker 1: ones where? Oh? The first one from at alexis j

1065
01:05:23,800 --> 01:05:26,960
Speaker 1: Report tweeted, we should have had Twitter Awards. The guy

1066
01:05:27,000 --> 01:05:33,600
Speaker 1: who made that Dell Curry divorce threat deserves one. Yes, yes, yes, yes,

1067
01:05:33,920 --> 01:05:36,800
Speaker 1: that's still one of my favorite tweet threads. If you

1068
01:05:36,840 --> 01:05:41,080
Speaker 1: remember when he said, but but let me tell you

1069
01:05:41,160 --> 01:05:43,080
Speaker 1: something you don't want I'll just beat a little bit

1070
01:05:43,120 --> 01:05:45,080
Speaker 1: said you don't want to be out here. You think

1071
01:05:45,120 --> 01:05:46,880
Speaker 1: you want to be out here, because this is talking

1072
01:05:46,920 --> 01:05:50,600
Speaker 1: about Dell Curry getting divorced his wife, and he said,

1073
01:05:50,640 --> 01:05:52,600
Speaker 1: when you get out here, you ain't gonna want to

1074
01:05:52,640 --> 01:05:54,720
Speaker 1: be out here no more. Last time you was out here,

1075
01:05:54,760 --> 01:05:57,240
Speaker 1: out here was different. You think something's better. I come

1076
01:05:57,280 --> 01:05:59,040
Speaker 1: to let you know. The best you're gonna get is

1077
01:05:59,040 --> 01:06:01,560
Speaker 1: what you already. He's like, I don't know why you

1078
01:06:01,560 --> 01:06:03,360
Speaker 1: don't want to do the work. You're gonna come out

1079
01:06:03,400 --> 01:06:05,400
Speaker 1: here and ain't gonna like it. All they do is

1080
01:06:05,440 --> 01:06:09,080
Speaker 1: start podcasts and talk talking about plate fixing. Fourteen minutes

1081
01:06:09,120 --> 01:06:11,360
Speaker 1: of being about being out here, you're gonna start saying,

1082
01:06:11,480 --> 01:06:15,560
Speaker 1: these females, where's the other one? He said, Uh, you

1083
01:06:15,600 --> 01:06:17,840
Speaker 1: don't want to be out here learning TikTok dances and

1084
01:06:17,880 --> 01:06:23,560
Speaker 1: falling off milk crates. Oh one of my favorites. No,

1085
01:06:23,880 --> 01:06:30,440
Speaker 1: not at all, not at Another one was at Charlie

1086
01:06:30,480 --> 01:06:33,640
Speaker 1: Sauston tweeted one thousand Twitter employees with three months severance

1087
01:06:33,840 --> 01:06:40,200
Speaker 1: pray from Mexico City that feels very God, who knows where, what,

1088
01:06:40,200 --> 01:06:42,800
Speaker 1: what place They're going to go uh and get together.

1089
01:06:43,080 --> 01:06:47,200
Speaker 1: And then another one, uh is from Foty. People's at

1090
01:06:47,280 --> 01:06:51,680
Speaker 1: not Carton Banks tweeted just a quotas they said, Twitter

1091
01:06:51,760 --> 01:06:54,160
Speaker 1: might not make it overnight. Yeah, all the family up

1092
01:06:54,160 --> 01:07:01,040
Speaker 1: there now, like any phone about somebody about ye oh man,

1093
01:07:01,720 --> 01:07:04,000
Speaker 1: Twitter might not exist by the time this shows up.

1094
01:07:04,080 --> 01:07:09,160
Speaker 1: But it'll exist exist. It's just gonna be. It'll probably nonfunctioning,

1095
01:07:09,280 --> 01:07:14,040
Speaker 1: and then we'll trying to download your thing. Yeah yeah, yeah,

1096
01:07:14,200 --> 01:07:17,400
Speaker 1: my data. I'm waiting for them to message me back

1097
01:07:17,560 --> 01:07:21,280
Speaker 1: that it's ready to download. Yeah. I did that with

1098
01:07:21,320 --> 01:07:25,280
Speaker 1: all my vines. Yeah, thought him. I got him on

1099
01:07:25,320 --> 01:07:28,560
Speaker 1: a Sun Drive. So I funked up so bad with that.

1100
01:07:28,720 --> 01:07:32,120
Speaker 1: I have my vines are gone. My vines are gone.

1101
01:07:32,440 --> 01:07:36,000
Speaker 1: I should post my vines on Twitter just in a

1102
01:07:36,080 --> 01:07:39,520
Speaker 1: burst this weekends. Yep. But when when I was trying

1103
01:07:39,520 --> 01:07:43,880
Speaker 1: to do the like download all my data, the it

1104
01:07:44,000 --> 01:07:46,520
Speaker 1: was like, all right, you gotta do the two factor authentication,

1105
01:07:47,120 --> 01:07:51,320
Speaker 1: and only one of those worked. The it only worked

1106
01:07:51,360 --> 01:07:53,480
Speaker 1: over email. You can't have them text you. They will

1107
01:07:53,520 --> 01:07:56,800
Speaker 1: not text you, so that that one's down. It's on it.

1108
01:07:57,120 --> 01:08:01,080
Speaker 1: It's on one at this point. Yeah, and know and ghosted.

1109
01:08:01,920 --> 01:08:09,760
Speaker 1: I'm old. Yeah. Everything everything's the same, like every everything's

1110
01:08:09,840 --> 01:08:13,680
Speaker 1: just comments about how everything's dead at Twitter. But I'm

1111
01:08:13,760 --> 01:08:16,840
Speaker 1: enjoyed like Cody had. What I'm hearing from Twitter employees

1112
01:08:17,240 --> 01:08:21,639
Speaker 1: is that there aren't any that's dr Mr Cody ron

1113
01:08:21,760 --> 01:08:25,519
Speaker 1: den Blaker tweeted it should have been Facebook broken heart emoji.

1114
01:08:25,720 --> 01:08:29,960
Speaker 1: That is absolutely the truth. April Clark, just a good

1115
01:08:29,960 --> 01:08:32,920
Speaker 1: old fashioned said my wife is pissed at me because

1116
01:08:32,960 --> 01:08:36,160
Speaker 1: I discovered I'm Polly. You cheat it on me. I'm

1117
01:08:36,200 --> 01:08:41,320
Speaker 1: literally coming out to you right now. But okay, So

1118
01:08:44,720 --> 01:08:47,799
Speaker 1: it's funny when people are tweeting that, like it's soaked

1119
01:08:47,960 --> 01:08:54,519
Speaker 1: the chaos, fucking chaos, like people are crying, people are

1120
01:08:54,560 --> 01:08:56,640
Speaker 1: like giving people to tell their flowers and ship and

1121
01:08:56,680 --> 01:08:59,160
Speaker 1: then in case you just someone be like, do horses

1122
01:08:59,160 --> 01:09:03,519
Speaker 1: get bored? Exactly? All right, shout out to you, shout

1123
01:09:03,520 --> 01:09:06,479
Speaker 1: out to you. They must write. I was going to

1124
01:09:06,560 --> 01:09:09,120
Speaker 1: tweet that that's something I really think about because there's

1125
01:09:09,439 --> 01:09:11,680
Speaker 1: I walk by, like when I see horses like in

1126
01:09:11,720 --> 01:09:15,160
Speaker 1: their stalls all night, like they're like standing up just

1127
01:09:15,200 --> 01:09:19,880
Speaker 1: like they wish they could binge New Girl or something. Yeah,

1128
01:09:20,160 --> 01:09:24,960
Speaker 1: right for the new season of Emily in Paris at least. Yeah,

1129
01:09:25,200 --> 01:09:28,759
Speaker 1: you can find me on Twitter at Jack Underscore O'Brien,

1130
01:09:29,120 --> 01:09:31,519
Speaker 1: and you can find us on Twitter at Daily Zeitgeist.

1131
01:09:31,520 --> 01:09:33,760
Speaker 1: We're at the Daily Zeitgeist on Instagram. We have a

1132
01:09:33,760 --> 01:09:36,479
Speaker 1: Facebook fan page and a website, Daily zeit geist dot com,

1133
01:09:36,479 --> 01:09:39,760
Speaker 1: where we post our episodes and our footnotes when we

1134
01:09:39,800 --> 01:09:41,439
Speaker 1: link off to the information that we talked about in

1135
01:09:41,479 --> 01:09:43,760
Speaker 1: today's episode, as well as the song that we think

1136
01:09:43,760 --> 01:09:46,600
Speaker 1: you might enjoy. Hey, Miles, what's the song that we

1137
01:09:46,640 --> 01:09:50,280
Speaker 1: think people might enjoy? Carries Dude Fucking Schools Out Forever

1138
01:09:50,360 --> 01:09:55,480
Speaker 1: Twitter is Dead, bro Alice Cooper, Hell yeah, hell yeah,

1139
01:09:55,560 --> 01:09:58,880
Speaker 1: Let's go out on this track by Smoke City. Uh.

1140
01:09:58,960 --> 01:10:02,400
Speaker 1: It's called Numbers Interlude a number one and it's like

1141
01:10:03,000 --> 01:10:05,519
Speaker 1: this is like a group from like the late nineties,

1142
01:10:05,840 --> 01:10:09,120
Speaker 1: but they got like it's just good Brazilian bossa nova

1143
01:10:09,200 --> 01:10:11,960
Speaker 1: sound and like this vocalist it's just kind of counting

1144
01:10:12,000 --> 01:10:14,560
Speaker 1: and in Portuguese and it's it's just kind of I

1145
01:10:14,600 --> 01:10:17,320
Speaker 1: don't know, good, good for your Monday. You know, take

1146
01:10:17,400 --> 01:10:20,479
Speaker 1: this and enjoy your Monday however you want to do that,

1147
01:10:20,520 --> 01:10:22,800
Speaker 1: but don't freak out. You don't freak out too much.

1148
01:10:23,160 --> 01:10:25,519
Speaker 1: The Daily Zai Guys is a production by heart Radio

1149
01:10:25,560 --> 01:10:27,720
Speaker 1: from more podcast from my heart Radio. Visit the heart

1150
01:10:27,760 --> 01:10:29,720
Speaker 1: Radio app Apple podcast or wherever you listen to your

1151
01:10:29,760 --> 01:10:32,280
Speaker 1: favorite shows. That is going to do it for us

1152
01:10:32,400 --> 01:10:35,120
Speaker 1: this morning, back this afternoon to tell you what's trending,

1153
01:10:35,320 --> 01:10:37,519
Speaker 1: and we'll tell you all like h