1
00:00:00,120 --> 00:00:03,080
Speaker 1: Hello the Internet, and welcome to season two oh seven,

2
00:00:03,080 --> 00:00:06,600
Speaker 1: Episode five of Dirt Dailies Like Guys, the production of

3
00:00:06,680 --> 00:00:10,039
Speaker 1: I Heart Radio. This is a podcast where we take

4
00:00:10,160 --> 00:00:16,640
Speaker 1: a deep dive into America's shared consciousness. It's Friday, October one,

5
00:00:16,760 --> 00:00:21,280
Speaker 1: which which means it's National Nut Day. Started my day

6
00:00:21,280 --> 00:00:25,000
Speaker 1: off with just a nice handful of cash shows and

7
00:00:25,280 --> 00:00:28,240
Speaker 1: you know it's giving me the boost that I need. Miles,

8
00:00:28,400 --> 00:00:32,040
Speaker 1: you are you a fan of do you do you celebrate? Uh? Yeah,

9
00:00:32,120 --> 00:00:36,880
Speaker 1: I'll probably celebrate with maybe two loose pistachios later on. Yeah,

10
00:00:36,880 --> 00:00:39,440
Speaker 1: that you find in like some couch cushions. Yeah. Yeah.

11
00:00:39,479 --> 00:00:42,720
Speaker 1: And it's also national National Make a Dog's Day Day.

12
00:00:43,400 --> 00:00:45,320
Speaker 1: If you got a dog whose day you can make,

13
00:00:45,600 --> 00:00:48,640
Speaker 1: you better, go on and make it better. Go do that. Well,

14
00:00:48,880 --> 00:00:52,680
Speaker 1: my name is Jack O'Brien. A K. I wish you

15
00:00:52,760 --> 00:00:58,040
Speaker 1: would backtrack on that. Take my friend that Tom Hanks

16
00:00:58,080 --> 00:01:01,840
Speaker 1: has always Pete and move bees he's been in. Just

17
00:01:02,080 --> 00:01:05,800
Speaker 1: go watch Big or Splash or News of the World again,

18
00:01:06,400 --> 00:01:12,480
Speaker 1: then you'll understand. And that is courtesy of Markis. Marka

19
00:01:12,600 --> 00:01:16,240
Speaker 1: really is. Can't say I agree with the content, but

20
00:01:16,400 --> 00:01:19,600
Speaker 1: you know, let's call me out because I say Tom

21
00:01:19,600 --> 00:01:21,880
Speaker 1: Hanks peas in all the movies, and I don't mean

22
00:01:21,920 --> 00:01:24,160
Speaker 1: that literally. He p's in a lot of the movies,

23
00:01:24,319 --> 00:01:29,040
Speaker 1: a statistically significant portion of the movies when compared to

24
00:01:29,160 --> 00:01:32,360
Speaker 1: other movie stars, but not all of them. It just

25
00:01:32,440 --> 00:01:35,480
Speaker 1: seems to be a strange through line that leads me

26
00:01:35,640 --> 00:01:42,000
Speaker 1: to suspect that he's asking filmmakers to incorporate. Anyways, I'm

27
00:01:42,040 --> 00:01:45,120
Speaker 1: thrilled to be joined as always by my co host

28
00:01:45,760 --> 00:01:52,600
Speaker 1: Mr Miles Grass, Greg Flue Live Floo Live, Blue Live,

29
00:01:53,000 --> 00:02:01,200
Speaker 1: filing up. I think these dudes love COVID cops had

30
00:02:01,360 --> 00:02:06,200
Speaker 1: vaccines and they want to their chiefs. No more out. Jeez,

31
00:02:06,920 --> 00:02:10,760
Speaker 1: I'm trying to own the lap Okay. I was just

32
00:02:10,800 --> 00:02:13,840
Speaker 1: singing that to myself in the shower because to Lura

33
00:02:14,040 --> 00:02:16,359
Speaker 1: started sounding like Blue Lives something in my head, so

34
00:02:17,240 --> 00:02:21,639
Speaker 1: shout out to me and the shower thoughts. Yeah, well,

35
00:02:21,680 --> 00:02:23,680
Speaker 1: I forget who did the original one. I always remember

36
00:02:23,680 --> 00:02:26,200
Speaker 1: the same Farish version as a child of the nineties.

37
00:02:26,400 --> 00:02:29,160
Speaker 1: Oh yeah, I thought that was the original one. I'm

38
00:02:29,200 --> 00:02:31,920
Speaker 1: a dummy, Well, Miles, We're thrilled to be joined in

39
00:02:31,960 --> 00:02:35,359
Speaker 1: our third seat by hilarious writer, producer, and comedian who

40
00:02:35,440 --> 00:02:39,040
Speaker 1: is an expert on among other things professional wrestling. She's

41
00:02:39,040 --> 00:02:41,840
Speaker 1: a writer for the Emmy nominated Honest Trailer series, as

42
00:02:41,880 --> 00:02:46,800
Speaker 1: well as starring in several popular gifts. Please welcome the brilliant,

43
00:02:46,880 --> 00:02:53,000
Speaker 1: the talented Daranielle. Right, that's very nice. I think I

44
00:02:53,160 --> 00:02:58,040
Speaker 1: mentioned this before. My dad is a piece of ship cop. Okay,

45
00:02:58,080 --> 00:03:03,720
Speaker 1: I think I recalled that last my good dad, my dad, right,

46
00:03:03,840 --> 00:03:07,560
Speaker 1: I remember that very completely last night because you're like, no, no, no,

47
00:03:07,639 --> 00:03:12,720
Speaker 1: all the cops like all the cops are my dad. Yes,

48
00:03:15,280 --> 00:03:19,600
Speaker 1: listen to Danielle, I have cat updates. Okay, good, I was.

49
00:03:19,800 --> 00:03:23,360
Speaker 1: I was asking you. There's like a big contraption behind you.

50
00:03:23,440 --> 00:03:26,040
Speaker 1: It looks like one of the Mario levels, like in

51
00:03:26,160 --> 00:03:29,680
Speaker 1: terms of just the complexity. Yeah, yeah, yeah for sure.

52
00:03:30,120 --> 00:03:35,720
Speaker 1: So I built a six ft two tall catchory um,

53
00:03:35,720 --> 00:03:40,320
Speaker 1: and my cats are like they like me now. It's

54
00:03:40,360 --> 00:03:43,520
Speaker 1: weird because they didn't used to like me. No, they

55
00:03:43,560 --> 00:03:51,640
Speaker 1: love me amazing. Take them but too probably did you

56
00:03:51,760 --> 00:03:53,480
Speaker 1: like when you say you make it, like is it

57
00:03:53,640 --> 00:03:55,960
Speaker 1: from scratch? And there's like modular things like it's like

58
00:03:56,160 --> 00:03:59,200
Speaker 1: not from scratch. I definitely it came from a kid.

59
00:03:59,400 --> 00:04:03,600
Speaker 1: And I built tipped with my hands. Oh nice? Okay, yeah,

60
00:04:03,760 --> 00:04:07,800
Speaker 1: with my own black ham there goes. I'm just I'm

61
00:04:07,840 --> 00:04:11,160
Speaker 1: looking at it and it like it's more are you

62
00:04:11,160 --> 00:04:14,120
Speaker 1: calling it a cat tree, a cat tree, a cat

63
00:04:14,200 --> 00:04:17,200
Speaker 1: tree tree, It's more of a cat forest. There's a

64
00:04:17,320 --> 00:04:20,120
Speaker 1: number of a number of trees. There is so much

65
00:04:20,200 --> 00:04:25,000
Speaker 1: happening right now. It is wild. Yeah, congratulations to your

66
00:04:25,000 --> 00:04:29,120
Speaker 1: cats National Make a Cat's Day Day. I'd always get

67
00:04:29,200 --> 00:04:32,159
Speaker 1: jealous when I saw like people like cat infrastructure in

68
00:04:32,200 --> 00:04:34,720
Speaker 1: places like that makes cats lives more fun, and I

69
00:04:34,720 --> 00:04:36,279
Speaker 1: always be like, man, I wish there was like stuff

70
00:04:36,320 --> 00:04:40,680
Speaker 1: like that for people. And by that I mean like adults,

71
00:04:40,720 --> 00:04:46,280
Speaker 1: I think, I mean that's just squid game. Like if

72
00:04:46,320 --> 00:04:48,719
Speaker 1: you're just looking for some words like I just want

73
00:04:48,720 --> 00:04:52,280
Speaker 1: to climb things and like be a thing, that's just game. Yeah,

74
00:04:52,560 --> 00:04:56,320
Speaker 1: going that trippy stair room. M I'm making my way

75
00:04:56,440 --> 00:05:00,279
Speaker 1: through squid game with my wife, and we are get

76
00:05:00,320 --> 00:05:05,599
Speaker 1: my way through the world today with my wife exactly.

77
00:05:05,800 --> 00:05:10,880
Speaker 1: I mean two things. I'm sorry it wait what episode

78
00:05:11,600 --> 00:05:16,440
Speaker 1: I just did a war so but yeah, they can

79
00:05:16,560 --> 00:05:19,120
Speaker 1: taking my time right, taking at ease, taking my time

80
00:05:19,160 --> 00:05:21,760
Speaker 1: in the world today. Yeah, but the Internet is threatening

81
00:05:21,960 --> 00:05:24,760
Speaker 1: to spoil it. Like I'm starting to see a lot

82
00:05:24,839 --> 00:05:27,520
Speaker 1: of things where people are like, I don't want to

83
00:05:27,560 --> 00:05:30,359
Speaker 1: spoil it, but then they kind of do want to

84
00:05:30,400 --> 00:05:33,760
Speaker 1: spoil it, so and that's on me. I'm taking way

85
00:05:33,800 --> 00:05:36,080
Speaker 1: too long a time. It's just hard with kids. That's

86
00:05:36,080 --> 00:05:38,080
Speaker 1: a that's one of those shows you need to make

87
00:05:38,120 --> 00:05:40,560
Speaker 1: sure their asses asleep before you put it. Is it

88
00:05:40,680 --> 00:05:45,720
Speaker 1: okay to talk about how much people have spoiled Eternals? Oh? Yeah,

89
00:05:45,880 --> 00:05:48,240
Speaker 1: I know. I don't even I mean, i've I didn't

90
00:05:48,240 --> 00:05:50,920
Speaker 1: even know that was the thing that was happening. But

91
00:05:51,160 --> 00:05:53,080
Speaker 1: I could be reading them and they're not just connecting

92
00:05:53,080 --> 00:05:56,440
Speaker 1: because I don't know anything about the movie. Yeah, so

93
00:05:56,760 --> 00:06:00,880
Speaker 1: people have really spoiled Eternals and people are super mad

94
00:06:00,960 --> 00:06:04,240
Speaker 1: about it. Yeah, makes sense. Yeah, people don't. People don't

95
00:06:04,279 --> 00:06:07,640
Speaker 1: take kindly to those Marvel spoilers, that's for sure. Yeah,

96
00:06:07,680 --> 00:06:10,479
Speaker 1: it's okay, I'm not going to spoil it here. Okay,

97
00:06:10,760 --> 00:06:15,680
Speaker 1: it was bad. Oh damn, the spoilers are bad, or

98
00:06:15,680 --> 00:06:19,080
Speaker 1: the spoilers spoilers were bad. I haven't seen the movie.

99
00:06:19,320 --> 00:06:24,520
Speaker 1: Boilers were bad. That's come on, now, you hate to

100
00:06:24,560 --> 00:06:27,400
Speaker 1: read something like It's imagine if the sixth Sense came

101
00:06:27,440 --> 00:06:29,760
Speaker 1: out in the age of Twitter. You know, it was

102
00:06:29,800 --> 00:06:33,680
Speaker 1: a bunch of variety writers who should know better, right, Yeah,

103
00:06:34,400 --> 00:06:36,560
Speaker 1: And when you say they're bad, like they are bad,

104
00:06:36,680 --> 00:06:40,360
Speaker 1: like they ruin things or the thing that they're suggesting

105
00:06:40,440 --> 00:06:43,320
Speaker 1: happens sucks, like makes you not want to see the

106
00:06:45,040 --> 00:06:51,000
Speaker 1: So they spoiled the after credit scene. Oh yeah I

107
00:06:51,040 --> 00:06:56,640
Speaker 1: did see that? Okay, wow, yeah, yeah, Well that that's

108
00:06:56,680 --> 00:06:59,080
Speaker 1: kind of sucked up. All right, Well, Danielle, we're going

109
00:06:59,120 --> 00:07:00,599
Speaker 1: to get to know you a little it better in

110
00:07:00,640 --> 00:07:02,880
Speaker 1: a moment. First, a couple of things we're talking about.

111
00:07:03,240 --> 00:07:06,480
Speaker 1: We're gonna talk about the Trump media Empire that is

112
00:07:06,560 --> 00:07:11,520
Speaker 1: coming for all our asses t MTG, Trump Media Technology Group.

113
00:07:12,000 --> 00:07:16,120
Speaker 1: I feel like they have been watching succession, like just

114
00:07:16,400 --> 00:07:20,080
Speaker 1: the the aspiration here. I feel like he's like that

115
00:07:20,080 --> 00:07:22,560
Speaker 1: that could be me, that should be me. My kids

116
00:07:22,600 --> 00:07:25,480
Speaker 1: are all funk ups. So we're gonna talk about that,

117
00:07:25,560 --> 00:07:28,760
Speaker 1: what their plans have revealed. We're gonna do some good news,

118
00:07:28,760 --> 00:07:31,400
Speaker 1: hopefully if we have time to get to it about

119
00:07:31,560 --> 00:07:35,320
Speaker 1: just you know, some solution some solution based things for

120
00:07:35,400 --> 00:07:38,400
Speaker 1: the environment. Then we'll get back to the bad news

121
00:07:38,480 --> 00:07:44,120
Speaker 1: about what's actually happening in Washington. We will kind of

122
00:07:44,120 --> 00:07:46,800
Speaker 1: fact check another another story that's been going around about

123
00:07:46,880 --> 00:07:49,200
Speaker 1: how won't you feel bad for the I f p

124
00:07:49,440 --> 00:07:52,880
Speaker 1: s because squid Game has has made their lives so

125
00:07:52,960 --> 00:07:56,040
Speaker 1: difficult they don't know what burning up the band with.

126
00:07:57,560 --> 00:08:00,960
Speaker 1: And maybe we'll even get to a new historical narrative

127
00:08:01,000 --> 00:08:04,400
Speaker 1: from David Graber all that plenty more. But first, Danielle,

128
00:08:04,440 --> 00:08:07,640
Speaker 1: we do like to ask our guests, what is something

129
00:08:07,760 --> 00:08:15,160
Speaker 1: from your search history? Sauce sauce? Um, it's a sauce

130
00:08:15,240 --> 00:08:18,600
Speaker 1: that you put on hoagies, right, but I mean, like

131
00:08:18,720 --> 00:08:20,960
Speaker 1: was that's a regional thing? Like because I mean HOGI

132
00:08:21,000 --> 00:08:25,200
Speaker 1: already that that already takes That's why, like im because

133
00:08:25,240 --> 00:08:28,720
Speaker 1: I'm West coastie, I don't know what Hogy sauce is,

134
00:08:29,720 --> 00:08:33,880
Speaker 1: So I'm I was researching what that was. Hogan Dressing,

135
00:08:34,640 --> 00:08:44,560
Speaker 1: Hogy Sauce, Lennoxville General Store, Hokey Sauce, Italian dressing recipe. Okay,

136
00:08:44,640 --> 00:08:47,320
Speaker 1: I've seen this because I bought it like years ago.

137
00:08:47,480 --> 00:08:50,320
Speaker 1: It's basically like the dressing that they'll put like on

138
00:08:50,360 --> 00:08:52,000
Speaker 1: the like that kind of goes on the lettuce, like

139
00:08:52,120 --> 00:08:54,280
Speaker 1: rather than have you just olive oil and vinegar. It's

140
00:08:54,320 --> 00:08:57,080
Speaker 1: just like that a little bit of you know, spruced

141
00:08:57,160 --> 00:09:01,760
Speaker 1: up juice to keep your saying damp the spruce juice.

142
00:09:01,880 --> 00:09:05,400
Speaker 1: I don't like damp juice. You don't like your bread

143
00:09:05,440 --> 00:09:09,599
Speaker 1: to be like soggy, so it's barely a solid anymore.

144
00:09:09,600 --> 00:09:11,959
Speaker 1: By the time you get at home. There's a whole

145
00:09:12,000 --> 00:09:19,120
Speaker 1: thing about your bread and the divider between your bread,

146
00:09:19,520 --> 00:09:22,760
Speaker 1: the other bread and your meat, and so you need

147
00:09:23,200 --> 00:09:27,840
Speaker 1: that divider to be solid or else that divider is

148
00:09:27,920 --> 00:09:31,079
Speaker 1: just sucking garbage us a little bit of cheese. Wait,

149
00:09:31,080 --> 00:09:33,560
Speaker 1: how come you were looking up hogy dress sauce? You

150
00:09:33,600 --> 00:09:36,560
Speaker 1: just heard it and it got your piqued your interest

151
00:09:36,679 --> 00:09:41,240
Speaker 1: or someone told me that I was doing my hoagies wrong.

152
00:09:42,000 --> 00:09:49,480
Speaker 1: H Where are you sourcing your bread? Kay? Okay, hell yeah?

153
00:09:49,480 --> 00:09:54,559
Speaker 1: The one and only. What is something you think is overrated?

154
00:09:55,480 --> 00:10:00,960
Speaker 1: I think it's overrated To super care about what Superman

155
00:10:01,080 --> 00:10:06,720
Speaker 1: is doing. I think it's weird. I think you're all weird.

156
00:10:07,440 --> 00:10:11,600
Speaker 1: You're talking about like because because of by Superman. Yeah,

157
00:10:11,720 --> 00:10:15,000
Speaker 1: I think it's weird. I think it's weird that people care.

158
00:10:15,480 --> 00:10:19,040
Speaker 1: First of all, by Superman is just his son who's

159
00:10:19,080 --> 00:10:24,440
Speaker 1: just like hanging out and cool. Right, Oh that's not Clark,

160
00:10:24,559 --> 00:10:27,880
Speaker 1: that's not Clark Kent. No, no, No, No, because everybody

161
00:10:27,920 --> 00:10:30,920
Speaker 1: that's interesting because I think everybody's reaction it's it's probably

162
00:10:30,960 --> 00:10:33,800
Speaker 1: came from a group of men who have Superman tattoos,

163
00:10:33,800 --> 00:10:39,280
Speaker 1: who are probably by Superman book that this is supposed

164
00:10:39,320 --> 00:10:46,640
Speaker 1: to be Superman, not super sexuality. No, I just think

165
00:10:46,679 --> 00:10:52,559
Speaker 1: it's weird, is what? What is? So this is Superman's offspring?

166
00:10:52,640 --> 00:10:55,760
Speaker 1: What is Superman like as a parent in these because

167
00:10:55,800 --> 00:10:58,319
Speaker 1: I feel like he always dips for like years at

168
00:10:58,320 --> 00:11:01,800
Speaker 1: a time and just like go and hangs out in space. Right,

169
00:11:02,440 --> 00:11:06,800
Speaker 1: that's those tea ball games he's shooting with his son

170
00:11:06,800 --> 00:11:09,880
Speaker 1: in the gym. You know, is it Superman in Lowis

171
00:11:09,960 --> 00:11:14,679
Speaker 1: Lanes offspring? Is that? Yes? Absolutely? Yeah. The last time

172
00:11:14,720 --> 00:11:18,040
Speaker 1: I paid attention to Superman it was like when I

173
00:11:18,120 --> 00:11:22,080
Speaker 1: was six and Christopher Reeves. Everyone is super cranky about this.

174
00:11:22,640 --> 00:11:25,960
Speaker 1: No one pays attention to fucking Superman. Yeah, I think

175
00:11:25,960 --> 00:11:27,920
Speaker 1: that's where it comes from, right is there like no

176
00:11:28,080 --> 00:11:32,240
Speaker 1: Christopher Reeves, but like he's into Lowis Lane, like no

177
00:11:32,280 --> 00:11:38,760
Speaker 1: one cares. Yeah. I mean my kids are into Superman

178
00:11:39,480 --> 00:11:44,400
Speaker 1: because it's just like the the easiest superhero to get

179
00:11:44,440 --> 00:11:47,480
Speaker 1: your head around. But I feel like, yeah, it's just

180
00:11:47,679 --> 00:11:52,079
Speaker 1: very entry level, very like gateway drug for other superheroes.

181
00:11:52,120 --> 00:11:55,400
Speaker 1: So he's like the sliced sandwich bread of superheroes. Why

182
00:11:55,400 --> 00:11:58,240
Speaker 1: don't you move on to Chivadah or Brios. Yeah, I

183
00:11:58,240 --> 00:12:01,079
Speaker 1: feel like even now my three year old, when he's interested,

184
00:12:01,160 --> 00:12:03,079
Speaker 1: like when he wants me to read him a superhero

185
00:12:03,120 --> 00:12:07,680
Speaker 1: bedtimes Superman bedtime story, it's more like nostalgia because he's

186
00:12:07,720 --> 00:12:11,160
Speaker 1: like way more into Spider Man and the Flash and

187
00:12:11,280 --> 00:12:16,040
Speaker 1: like the other more specific interesting superheroes. And but like, yeah,

188
00:12:16,160 --> 00:12:21,360
Speaker 1: literally no one cares about Superman. Everyone is so angry,

189
00:12:21,400 --> 00:12:24,679
Speaker 1: and I promise you none of them are reading the comics. Yeah,

190
00:12:24,760 --> 00:12:27,559
Speaker 1: I think that's right. Don't don't come for Danielle in this.

191
00:12:27,880 --> 00:12:30,840
Speaker 1: That's it's the truth. What is h what is something

192
00:12:30,880 --> 00:12:33,880
Speaker 1: you think is underrated? You know what I think is underrated?

193
00:12:34,240 --> 00:12:36,920
Speaker 1: Finding out that your cats want to cuddle you a

194
00:12:36,920 --> 00:12:42,800
Speaker 1: whole bunch Yeah, along hard road. I know it took

195
00:12:42,800 --> 00:12:47,000
Speaker 1: a while. How many years are we talking since your

196
00:12:47,040 --> 00:12:50,000
Speaker 1: life to them cuddling you? Yeah, a bunch of years.

197
00:12:50,840 --> 00:12:56,800
Speaker 1: They don't like me. How many cats are we talking? Two? Two?

198
00:12:57,120 --> 00:13:02,280
Speaker 1: And they're sin in ripley tough, don't like me, but

199
00:13:02,360 --> 00:13:06,719
Speaker 1: now they do. And it's like super fucking great, are

200
00:13:06,760 --> 00:13:09,000
Speaker 1: you what are you like commemorating this, like you're taking

201
00:13:09,040 --> 00:13:11,640
Speaker 1: pictures and stuff because this is the first. No, they

202
00:13:11,679 --> 00:13:15,560
Speaker 1: don't know. They don't like pictures, and they crawl all

203
00:13:15,600 --> 00:13:20,920
Speaker 1: over me. They don't like pictures. They're camera know, they

204
00:13:21,000 --> 00:13:23,440
Speaker 1: know when I'm taking a picture of them with a camera.

205
00:13:24,200 --> 00:13:28,440
Speaker 1: They you have to like pretend you're like reading something

206
00:13:28,440 --> 00:13:31,440
Speaker 1: while taking their picture. Yeah, absolutely, So you can't even

207
00:13:31,440 --> 00:13:34,280
Speaker 1: come with receipts about this. This is just something. Yeah,

208
00:13:34,320 --> 00:13:36,440
Speaker 1: So for all we know, you might be lying about this,

209
00:13:36,480 --> 00:13:39,719
Speaker 1: but I'm gonna take your word for it. And I

210
00:13:41,240 --> 00:13:45,240
Speaker 1: mean I think that I think it's generally the case

211
00:13:45,440 --> 00:13:49,240
Speaker 1: like that. The status quo for most cat relationships is

212
00:13:49,280 --> 00:13:52,720
Speaker 1: that they like tolerate their human in a lot of cases.

213
00:13:52,760 --> 00:13:55,679
Speaker 1: So like, can you tell cat owners out there, like

214
00:13:55,720 --> 00:13:59,080
Speaker 1: how did you turn this corner where they're like all

215
00:13:59,160 --> 00:14:03,080
Speaker 1: about you? You know? I just awaited it out, yeah,

216
00:14:03,320 --> 00:14:07,480
Speaker 1: and built them massive play structures and all. Like again,

217
00:14:07,679 --> 00:14:10,719
Speaker 1: I'm like a like weird step mom where I was like,

218
00:14:11,320 --> 00:14:18,280
Speaker 1: come to me, watch as I build this giant structure

219
00:14:18,320 --> 00:14:21,160
Speaker 1: in your name? What do I need to do for

220
00:14:21,240 --> 00:14:24,000
Speaker 1: you to call me mother? I just need you to

221
00:14:24,120 --> 00:14:29,640
Speaker 1: love me. Alright, let's take a quick break and we

222
00:14:29,720 --> 00:14:33,120
Speaker 1: will be right back to talk about the Trump media

223
00:14:33,160 --> 00:14:46,480
Speaker 1: and butter. And we're back, and we're riding the roller

224
00:14:46,560 --> 00:14:50,960
Speaker 1: coaster of Danielle's relationship with her cats. Apparently they're they're

225
00:14:50,960 --> 00:14:54,520
Speaker 1: causing all sorts of havoc, my guests, they know that

226
00:14:54,560 --> 00:14:57,600
Speaker 1: it's national Make a Dog's Day Day. But taking back

227
00:14:57,640 --> 00:15:01,240
Speaker 1: to power, Yeah, taking back the power. They're like this. Alright,

228
00:15:01,400 --> 00:15:07,000
Speaker 1: let's let's get into the the third announcement from Donald

229
00:15:07,000 --> 00:15:11,040
Speaker 1: Trump about how he's going to change the landscape of media.

230
00:15:11,880 --> 00:15:17,760
Speaker 1: He has announced Trump Media Technology Group because he believes

231
00:15:17,800 --> 00:15:20,400
Speaker 1: he can take down big tech by creating a worse

232
00:15:20,480 --> 00:15:25,600
Speaker 1: product that can't compete at all with Netflix, Twitter, and

233
00:15:25,760 --> 00:15:30,720
Speaker 1: even a company called I Heart Media. He's coming for us,

234
00:15:31,160 --> 00:15:37,680
Speaker 1: coming for us media. I haven't, but somehow this man has.

235
00:15:38,040 --> 00:15:40,760
Speaker 1: And yeah, he also thinks he can go after Amazon's

236
00:15:40,800 --> 00:15:44,640
Speaker 1: cloud service and like Stripe for like payments and stuff.

237
00:15:44,640 --> 00:15:47,480
Speaker 1: This is all because he thinks that he can create

238
00:15:47,560 --> 00:15:53,280
Speaker 1: like essentially an uncancellable Internet infrastructure. So if no matter

239
00:15:53,320 --> 00:15:56,080
Speaker 1: how racist or vile you are, they can't say, like, well,

240
00:15:56,120 --> 00:15:58,160
Speaker 1: we're gonna take this hosting service away from you, or

241
00:15:58,200 --> 00:16:00,440
Speaker 1: we're gonna take this way of processing payments from you

242
00:16:00,680 --> 00:16:04,760
Speaker 1: because he'll have his own versions and that will shield

243
00:16:04,840 --> 00:16:08,000
Speaker 1: them from any kind of real scrutiny or criticism. But

244
00:16:08,080 --> 00:16:10,760
Speaker 1: the big one I think that was announced today was

245
00:16:11,160 --> 00:16:16,560
Speaker 1: the Truth social platform. So get ready, let's just give

246
00:16:16,640 --> 00:16:19,200
Speaker 1: a real quick background on like his So this is

247
00:16:19,240 --> 00:16:21,920
Speaker 1: the third in a series. First it was from the

248
00:16:21,960 --> 00:16:26,560
Speaker 1: desk of where he would be issuing communications to publish,

249
00:16:26,600 --> 00:16:29,960
Speaker 1: straight from the desk of Donald Trump, and it was

250
00:16:30,080 --> 00:16:34,680
Speaker 1: a blog and like he just didn't maybe he hadn't

251
00:16:34,680 --> 00:16:36,720
Speaker 1: heard of those and he thought he was inventing them,

252
00:16:37,040 --> 00:16:41,160
Speaker 1: but that that barely got any attention, and so that

253
00:16:41,200 --> 00:16:43,800
Speaker 1: went away. In July, this is one I didn't even

254
00:16:43,800 --> 00:16:47,479
Speaker 1: know about. He quietly launched a new social media platform

255
00:16:47,560 --> 00:16:51,080
Speaker 1: called get or, which really should be the name of

256
00:16:51,440 --> 00:16:54,920
Speaker 1: Larry the cable guys platform, but he went for it

257
00:16:55,040 --> 00:16:58,640
Speaker 1: G E T t R and that apparently fell apart,

258
00:16:59,200 --> 00:17:01,680
Speaker 1: which you know, he's taking a lot of swings. He's

259
00:17:01,760 --> 00:17:05,639
Speaker 1: just letting, letting loose. And now he's announced his third

260
00:17:05,960 --> 00:17:11,359
Speaker 1: an app dubbed Truth because yeah, that the he he wants.

261
00:17:11,440 --> 00:17:14,520
Speaker 1: He thinks that the truth is I don't know. This

262
00:17:14,600 --> 00:17:17,080
Speaker 1: is pretty in line with his overall strategy of like

263
00:17:17,800 --> 00:17:22,239
Speaker 1: naming things the exact opposite of what they are. Yeah, right,

264
00:17:22,480 --> 00:17:26,560
Speaker 1: like saying he's a president rather than a despotic fucking

265
00:17:26,560 --> 00:17:29,600
Speaker 1: in the sile or something is Donald Trump the president?

266
00:17:30,200 --> 00:17:33,560
Speaker 1: It depends on which news channel you watch, because there

267
00:17:33,600 --> 00:17:36,480
Speaker 1: seemed to be competing narratives. But like with the truth Thing,

268
00:17:37,080 --> 00:17:40,960
Speaker 1: predictably right, posting to the site will be called true

269
00:17:41,040 --> 00:17:45,280
Speaker 1: thing and fucking each individual post will be known as

270
00:17:45,359 --> 00:17:49,679
Speaker 1: a truth. So I get that they're fully trying to

271
00:17:49,760 --> 00:17:52,920
Speaker 1: take any meaning out of that word truth by being like, yeah,

272
00:17:53,000 --> 00:17:55,399
Speaker 1: I read truth to that truth from earlier. Who's your

273
00:17:55,440 --> 00:17:58,200
Speaker 1: favorite truth? Or oh yeah, let me some good accounts

274
00:17:58,200 --> 00:18:01,199
Speaker 1: for some funny truths to follow. On its social he

275
00:18:01,640 --> 00:18:07,359
Speaker 1: has trademarked the term true thing and retruth, which is

276
00:18:07,560 --> 00:18:12,639
Speaker 1: pretty cool. Uh, you'd you'd hope that it would be

277
00:18:12,680 --> 00:18:14,679
Speaker 1: something a little bit more interesting than that. But of

278
00:18:14,720 --> 00:18:17,720
Speaker 1: course this this makes sense because you say absolutely lie

279
00:18:17,720 --> 00:18:20,840
Speaker 1: and you call it your truth. Yeah, shockingly, I know

280
00:18:21,000 --> 00:18:24,119
Speaker 1: this is gonna hold under your butts everyone. The project

281
00:18:24,440 --> 00:18:28,040
Speaker 1: launched a beta, and people took a look a little

282
00:18:28,119 --> 00:18:31,160
Speaker 1: behind the curtains and it was seemingly done as cheaply

283
00:18:31,240 --> 00:18:35,720
Speaker 1: and lazily as possible. The site's code is a quote

284
00:18:35,760 --> 00:18:39,800
Speaker 1: mostly unmodified version of Mastodon, which is an open source

285
00:18:39,800 --> 00:18:43,680
Speaker 1: software launched in twice sixteen, and also a badge that's

286
00:18:43,800 --> 00:18:47,080
Speaker 1: very cool. Yes, but anyone can use this, like I

287
00:18:47,119 --> 00:18:51,840
Speaker 1: could use this to launch my own social networking site.

288
00:18:52,040 --> 00:18:56,119
Speaker 1: That's basically what they did. They just took that open

289
00:18:56,160 --> 00:19:00,560
Speaker 1: source software, didn't even make any modification to it, so

290
00:19:00,600 --> 00:19:04,200
Speaker 1: it was extremely easy for people to immediately hack into

291
00:19:04,960 --> 00:19:07,320
Speaker 1: although you didn't really need to hack into it. They

292
00:19:07,440 --> 00:19:10,959
Speaker 1: launched the beta and people could immediately just sign up

293
00:19:10,960 --> 00:19:14,800
Speaker 1: for accounts with the handles at Donald Trump and at

294
00:19:14,880 --> 00:19:19,920
Speaker 1: Mike Pence and at Donald J. Trump. So somebody got

295
00:19:19,960 --> 00:19:22,440
Speaker 1: that one and immediately posted a photo of a pig

296
00:19:22,480 --> 00:19:26,280
Speaker 1: defecating on its testicles. Yep, that old that old Twitter.

297
00:19:28,119 --> 00:19:31,680
Speaker 1: I um, I kind of hate that, but I love it,

298
00:19:31,760 --> 00:19:34,000
Speaker 1: but I hate it. Well, it's just kind of they've

299
00:19:34,080 --> 00:19:37,520
Speaker 1: nailed the perfect visual metaphor for what is happening here. Yeah,

300
00:19:37,520 --> 00:19:40,480
Speaker 1: and it's been a common sort of troll reply on

301
00:19:40,520 --> 00:19:43,520
Speaker 1: Twitter too for just like just spamming threads with that

302
00:19:43,600 --> 00:19:46,080
Speaker 1: image because people like don't want to get it off here.

303
00:19:46,680 --> 00:19:50,760
Speaker 1: But yeah, the it's clear that like everything just not

304
00:19:50,880 --> 00:19:53,520
Speaker 1: much stop put into it. It's really about the I

305
00:19:53,560 --> 00:19:55,440
Speaker 1: guess the optics of saying like this is what I'm

306
00:19:55,440 --> 00:19:58,000
Speaker 1: gonna do, and this is when it's coming out. There

307
00:19:58,080 --> 00:20:01,800
Speaker 1: might be a beta in for some people like at

308
00:20:01,920 --> 00:20:04,720
Speaker 1: the like sort of end of the year, but the

309
00:20:04,800 --> 00:20:09,440
Speaker 1: plans are that this thing is launching in. But there's

310
00:20:09,480 --> 00:20:13,440
Speaker 1: also like really weird guidelines within the website to like

311
00:20:13,760 --> 00:20:16,960
Speaker 1: the slides about like the sort of presentation of the websites,

312
00:20:17,040 --> 00:20:20,200
Speaker 1: like it's a big tent. It's for everyone. Liberals, conservatives,

313
00:20:20,240 --> 00:20:22,239
Speaker 1: independence can all come through. But then there's like this

314
00:20:22,280 --> 00:20:25,280
Speaker 1: fine print that's like truth can like revoke and deactivate

315
00:20:25,320 --> 00:20:27,879
Speaker 1: your account for any reason without you knowing, without you have,

316
00:20:28,000 --> 00:20:30,040
Speaker 1: without even us having to explain. So I don't talk

317
00:20:30,080 --> 00:20:34,399
Speaker 1: shit on your You're going you're literally prohibited from disparaging

318
00:20:34,440 --> 00:20:37,719
Speaker 1: the site or and this is a quote annoying the

319
00:20:37,760 --> 00:20:45,000
Speaker 1: site's employees annoying. There was a cartoon on S and

320
00:20:45,160 --> 00:20:50,000
Speaker 1: L that they took down that was basically like about

321
00:20:50,040 --> 00:20:55,679
Speaker 1: how Disney owned everything. Like this graphic reminds me of

322
00:20:55,760 --> 00:20:59,680
Speaker 1: that cartoon. Yeah, just with all the other brands there, Yeah,

323
00:21:00,440 --> 00:21:03,879
Speaker 1: and just taking everything over. The graphicing question has t

324
00:21:04,040 --> 00:21:09,679
Speaker 1: MTG with like a line to truth social verses, and

325
00:21:09,720 --> 00:21:13,040
Speaker 1: then it's like Twitter, Facebook, and then in a separate

326
00:21:13,240 --> 00:21:19,320
Speaker 1: like media content production section, it's tmt G Plus, which

327
00:21:19,359 --> 00:21:22,200
Speaker 1: competes with Netflix and Disney Plus. I don't know how

328
00:21:22,200 --> 00:21:26,720
Speaker 1: they get the plus is brilliant, like Disney Plus, Oh

329
00:21:27,200 --> 00:21:35,119
Speaker 1: ship shit, come on, you think to go along with

330
00:21:35,200 --> 00:21:42,800
Speaker 1: fucking Trump flicks, you know? And HBO maga. Yeah, that's

331
00:21:42,800 --> 00:21:45,800
Speaker 1: pretty good. Actually they should have done that. T MTG

332
00:21:46,440 --> 00:21:49,760
Speaker 1: News is the one that's coming for our ass for

333
00:21:49,880 --> 00:21:53,760
Speaker 1: I Heeart and CNN. That's kind of a flex shoutout

334
00:21:53,760 --> 00:21:56,040
Speaker 1: to heart. I mean, I think because purely all this,

335
00:21:56,280 --> 00:21:58,359
Speaker 1: all of these things are just pointing out or like

336
00:21:58,400 --> 00:22:01,680
Speaker 1: sort of super relatives like within a given industry. So

337
00:22:01,720 --> 00:22:03,840
Speaker 1: it's like, if it's streaming, you're gonna put the streaming

338
00:22:03,880 --> 00:22:07,840
Speaker 1: people there, And if it's radio or podcasting, then if

339
00:22:07,840 --> 00:22:14,040
Speaker 1: they're they're mentioning this bihemoth company. So yeah, it's ah,

340
00:22:14,680 --> 00:22:17,399
Speaker 1: we look forward to your network, although I feel like

341
00:22:17,400 --> 00:22:20,679
Speaker 1: they're already out there. The long term opportunity t MTG

342
00:22:20,880 --> 00:22:23,880
Speaker 1: tech Stack, which just sounds like some words they made

343
00:22:23,960 --> 00:22:26,040
Speaker 1: up and put in front of him that. He was like, nice,

344
00:22:26,160 --> 00:22:29,280
Speaker 1: I love a text. Yeah yeah, like you said, they're

345
00:22:29,280 --> 00:22:33,720
Speaker 1: coming for Amazon Cloud computing, uh in Google Cloud. So

346
00:22:33,960 --> 00:22:38,320
Speaker 1: you know they got big, big code for your platform. No, no,

347
00:22:38,400 --> 00:22:41,840
Speaker 1: I just ripped off masted on right. Okay, so some

348
00:22:41,880 --> 00:22:45,760
Speaker 1: real pioneering type ship happening over here. Good to know. Yeah, alright,

349
00:22:45,920 --> 00:22:48,840
Speaker 1: let's uh, let's talk about just a little bit of

350
00:22:49,560 --> 00:22:55,280
Speaker 1: news around the green energy possibilities how we could possibly

351
00:22:55,760 --> 00:22:59,160
Speaker 1: fight climate change make the world a little bit more sustainable.

352
00:22:59,680 --> 00:23:02,800
Speaker 1: So you know, as Congress debated last week whether to

353
00:23:02,840 --> 00:23:07,800
Speaker 1: pare down the Biden administrations climate proposals, uh and spoiler alert,

354
00:23:07,880 --> 00:23:12,560
Speaker 1: they did. New research has suggested doing so would create

355
00:23:12,680 --> 00:23:15,120
Speaker 1: far fewer jobs if you if you paired it down

356
00:23:15,119 --> 00:23:17,560
Speaker 1: and just kept going with fossil fuel, kept doubling down.

357
00:23:18,040 --> 00:23:21,960
Speaker 1: For every million dollars the US government invests, solar produces

358
00:23:22,040 --> 00:23:26,240
Speaker 1: over two point seven times more jobs than fossil fuels.

359
00:23:26,680 --> 00:23:29,520
Speaker 1: We're doing an analysis from to environmental think tanks and

360
00:23:29,600 --> 00:23:33,880
Speaker 1: labor unions. Wind energy spurs over two point eight times

361
00:23:33,960 --> 00:23:36,920
Speaker 1: more jobs than the investments in oil gas and call

362
00:23:37,400 --> 00:23:40,439
Speaker 1: retro filling buildings to be more energy efficient creates demand

363
00:23:40,480 --> 00:23:43,960
Speaker 1: for nearly three times as many jobs. So these are

364
00:23:44,760 --> 00:23:48,280
Speaker 1: It's it's not a issue of well, you know, fossil

365
00:23:48,320 --> 00:23:51,480
Speaker 1: fuels is like the thing that's good for the economy.

366
00:23:51,600 --> 00:23:54,359
Speaker 1: The only excuse that they have for continuing to double

367
00:23:54,359 --> 00:23:57,600
Speaker 1: down on fossil fuels is that fossil fuels have the

368
00:23:57,760 --> 00:24:01,680
Speaker 1: money and therefore the inertia to um keep them moving

369
00:24:01,920 --> 00:24:05,440
Speaker 1: in the same direction they've been moving in for Essentially,

370
00:24:05,640 --> 00:24:09,320
Speaker 1: it's just wild that this analysis just negates any argument

371
00:24:09,359 --> 00:24:11,760
Speaker 1: that would come out of this lobbying side of being like, well,

372
00:24:11,760 --> 00:24:14,280
Speaker 1: then what happens all these people's jobs? Man, if you

373
00:24:14,280 --> 00:24:17,040
Speaker 1: get rid of coal, then what happens? And you're like, yeah,

374
00:24:17,119 --> 00:24:21,800
Speaker 1: there's actually there. Even if those people fucking cleaved themselves

375
00:24:21,800 --> 00:24:24,639
Speaker 1: like a cell and turned into two people, that person

376
00:24:24,680 --> 00:24:29,320
Speaker 1: would also have a job. That's how lucrative and how

377
00:24:29,400 --> 00:24:32,760
Speaker 1: much opportunity is there because we have a massive undertaking

378
00:24:32,760 --> 00:24:36,240
Speaker 1: to change the energy mix. Yeah, and we actually have

379
00:24:36,440 --> 00:24:40,600
Speaker 1: a like specific example of you know, a way, a

380
00:24:40,640 --> 00:24:43,960
Speaker 1: way that we could be changing things and helping the

381
00:24:44,040 --> 00:24:48,000
Speaker 1: environment and helping economies. But before we get to that, uh,

382
00:24:48,080 --> 00:24:53,240
Speaker 1: Danielle's Internet just went out unfortunately, and you know, we're

383
00:24:53,280 --> 00:24:56,760
Speaker 1: hoping that she is able to get back in here,

384
00:24:57,040 --> 00:25:01,720
Speaker 1: but always wonderful having Danielle. Hopefully it comes back. She's

385
00:25:01,840 --> 00:25:07,320
Speaker 1: working on getting back on as we speak. Were momentarily

386
00:25:07,359 --> 00:25:10,040
Speaker 1: if all, we're hoping to be rejoined. But this is

387
00:25:10,080 --> 00:25:12,920
Speaker 1: the miles and I are full of enough hot air

388
00:25:13,080 --> 00:25:17,720
Speaker 1: to uh push this thing through to the man A

389
00:25:17,840 --> 00:25:22,120
Speaker 1: real wind bag, am I right? All right? So there's

390
00:25:22,119 --> 00:25:25,560
Speaker 1: a new book from out of Iowa called The Emerald

391
00:25:25,600 --> 00:25:30,679
Speaker 1: Horizon that's basically about how the heartland, you know, where

392
00:25:31,240 --> 00:25:36,119
Speaker 1: all of America's corn and soybeans come from, mostly two

393
00:25:36,119 --> 00:25:41,960
Speaker 1: feed cattle to like feed us meat, is headed in

394
00:25:42,000 --> 00:25:46,880
Speaker 1: a dangerous direction because of centuries of industrialized farming. They

395
00:25:46,920 --> 00:25:51,800
Speaker 1: basically like raised the landscape, made a eco factory for

396
00:25:52,040 --> 00:25:56,600
Speaker 1: two crops, and this yielded a pretty profitable system. It's

397
00:25:56,600 --> 00:25:59,920
Speaker 1: still currently the globe's most productive chunk of land during

398
00:26:00,000 --> 00:26:03,440
Speaker 1: summer months. But it also just polluted the hell out

399
00:26:03,440 --> 00:26:07,120
Speaker 1: of their rivers the Gulf of Mexico. The runoff from

400
00:26:07,240 --> 00:26:11,280
Speaker 1: Iowa down into the Gulf of Mexico has created a

401
00:26:11,520 --> 00:26:15,560
Speaker 1: Connecticut sized algae bloom that is just a biological dead zone.

402
00:26:15,680 --> 00:26:19,040
Speaker 1: Like everything that swims through it dies. It's also just

403
00:26:19,119 --> 00:26:21,760
Speaker 1: killing off the like the thing that they need to

404
00:26:22,240 --> 00:26:25,879
Speaker 1: grow anything is top soil, and the top soil is

405
00:26:25,960 --> 00:26:29,479
Speaker 1: being leached about its natural resources, which when combined with

406
00:26:29,560 --> 00:26:33,879
Speaker 1: the worsening storms from climate change, is just heading heading

407
00:26:33,920 --> 00:26:37,639
Speaker 1: them in a very dangerous direction. And this this is

408
00:26:37,680 --> 00:26:39,560
Speaker 1: a good news story. So this is a good news

409
00:26:39,600 --> 00:26:43,160
Speaker 1: story because a ecologist has written a book where they're like, oh,

410
00:26:43,200 --> 00:26:47,719
Speaker 1: there's a very simple solution. Thank god. Yeah, So before

411
00:26:47,880 --> 00:26:52,080
Speaker 1: we came in here, the native people who predominated, not me, bro,

412
00:26:52,320 --> 00:26:56,000
Speaker 1: they brought they brought my family over. I didn't. I

413
00:26:56,000 --> 00:27:01,320
Speaker 1: didn't come over here, brokah. Sorry. When before the colonizers

414
00:27:01,359 --> 00:27:07,120
Speaker 1: showed up the native people were they basically interwove fields

415
00:27:07,119 --> 00:27:11,000
Speaker 1: of corn and squash and beans with lots of trees,

416
00:27:11,080 --> 00:27:15,159
Speaker 1: like not bearing trees that fed them. And they're pointing

417
00:27:15,160 --> 00:27:19,960
Speaker 1: out that basically you could just do that again. What

418
00:27:20,080 --> 00:27:23,119
Speaker 1: it's I think it's called like alley strip farming or

419
00:27:23,200 --> 00:27:27,160
Speaker 1: something like that, and you basically have rows of trees

420
00:27:27,280 --> 00:27:31,480
Speaker 1: in between these fields, which would combat all of those

421
00:27:31,520 --> 00:27:34,679
Speaker 1: problems because trees, you know, drank up a lot of

422
00:27:34,680 --> 00:27:38,480
Speaker 1: the resources. They add carbon to the environment, like through

423
00:27:38,680 --> 00:27:41,119
Speaker 1: leaves that fall down, just like having leaves on the

424
00:27:41,160 --> 00:27:46,320
Speaker 1: grounds like makes the soil richer. And it's you know,

425
00:27:46,359 --> 00:27:50,960
Speaker 1: it's a pretty basic idea that like your landscape shouldn't

426
00:27:51,000 --> 00:27:54,040
Speaker 1: look like a lunar colony that is only planting corn.

427
00:27:54,680 --> 00:27:59,560
Speaker 1: But that's agricultural, right exactly. They say in the in

428
00:27:59,640 --> 00:28:04,159
Speaker 1: the study, reintroducing trees could bring big benefits. Their roots

429
00:28:04,200 --> 00:28:07,280
Speaker 1: dig deep beneath the soil surface and fan out lad

430
00:28:07,359 --> 00:28:10,160
Speaker 1: really providing an anchor during heavy rain so you don't

431
00:28:10,200 --> 00:28:12,840
Speaker 1: lose all that top soil. They suck up nutrients all

432
00:28:12,880 --> 00:28:16,439
Speaker 1: year long, keeping fertilizer from leaching away in poluding water.

433
00:28:16,960 --> 00:28:20,520
Speaker 1: Tree shield crops and soil from the wind, which because

434
00:28:20,560 --> 00:28:24,760
Speaker 1: of you know, the ecological disaster we've created with climate change,

435
00:28:24,800 --> 00:28:26,840
Speaker 1: is going to be more and more important. They build

436
00:28:26,840 --> 00:28:30,280
Speaker 1: carbon in the soil and this is an ancient practice

437
00:28:30,320 --> 00:28:34,919
Speaker 1: known as agro forestry, not like a grow, but agricultural

438
00:28:34,960 --> 00:28:38,600
Speaker 1: forestry could ultimately be more profitable for farmers than the

439
00:28:38,600 --> 00:28:42,360
Speaker 1: current corn soybean rotation in the Midwest. So all they

440
00:28:42,400 --> 00:28:46,120
Speaker 1: need to do, though, is break out of this capitalist

441
00:28:46,200 --> 00:28:51,040
Speaker 1: cycle of doing whatever is most profitable for the next quarter.

442
00:28:51,560 --> 00:28:54,480
Speaker 1: You know, you need some view into the future, right,

443
00:28:54,600 --> 00:28:58,120
Speaker 1: and you need some initial investment into the trees, and

444
00:28:58,160 --> 00:29:00,240
Speaker 1: then the trees take a couple of years to start

445
00:29:00,280 --> 00:29:03,120
Speaker 1: bearing the you know products that are actually going to

446
00:29:03,200 --> 00:29:05,960
Speaker 1: make you money, which is where the government should come

447
00:29:05,960 --> 00:29:09,880
Speaker 1: in and be able to help fund that. But then

448
00:29:09,920 --> 00:29:13,720
Speaker 1: they have to deal with you know, mon santo and

449
00:29:13,920 --> 00:29:19,760
Speaker 1: massive corporations that profit from just keeping things as is

450
00:29:20,160 --> 00:29:22,600
Speaker 1: noticing a theme here with a lot of our problems

451
00:29:22,720 --> 00:29:26,240
Speaker 1: on this. Yeah, there's a solution to all of this.

452
00:29:26,600 --> 00:29:30,640
Speaker 1: It's just up to just up to the forces that

453
00:29:30,680 --> 00:29:34,040
Speaker 1: have been making money hand over fist for decades now

454
00:29:34,280 --> 00:29:37,760
Speaker 1: to just switch it up really quick, yeah, and break

455
00:29:37,800 --> 00:29:41,440
Speaker 1: their habits or hoping that a government that isn't completely

456
00:29:41,920 --> 00:29:46,760
Speaker 1: influenced by outside spending two actually make that a law

457
00:29:46,960 --> 00:29:51,880
Speaker 1: or something or regulation. Okay, so that's the good news.

458
00:29:51,920 --> 00:29:54,640
Speaker 1: The bad news is, let's check in with build back better,

459
00:29:54,680 --> 00:29:58,360
Speaker 1: where we at where we at with that bill, you know,

460
00:29:58,440 --> 00:30:02,960
Speaker 1: the carbon tax, an electricity performance program in addition to

461
00:30:03,520 --> 00:30:06,719
Speaker 1: things unrelated to the you know environment, like two three

462
00:30:06,800 --> 00:30:09,600
Speaker 1: years of community college that those could be related to

463
00:30:09,640 --> 00:30:13,520
Speaker 1: the environment, since you're just educating more people and they

464
00:30:13,600 --> 00:30:16,520
Speaker 1: might come up with a solution or the solutions that

465
00:30:16,560 --> 00:30:18,840
Speaker 1: will save our us in the future where we at um.

466
00:30:18,880 --> 00:30:22,280
Speaker 1: Those are all not in the bill anymore. Specifically, the

467
00:30:22,400 --> 00:30:27,960
Speaker 1: carbon the Clean Energy Performance program was gone. Joe Bienen

468
00:30:28,160 --> 00:30:30,480
Speaker 1: was like, remember how I was like, yo, two years

469
00:30:30,640 --> 00:30:35,560
Speaker 1: to tuition free years at community called bye bye. So

470
00:30:36,280 --> 00:30:37,960
Speaker 1: and a lot of people are saying that's what's out

471
00:30:38,200 --> 00:30:41,360
Speaker 1: for now. Things could change, things could come back in.

472
00:30:41,560 --> 00:30:44,040
Speaker 1: We don't know, things are in play. I think that's

473
00:30:44,040 --> 00:30:48,120
Speaker 1: a very euphemistic description, considering how we're just allowing Joe

474
00:30:48,160 --> 00:30:51,240
Speaker 1: Manchon and Kirsten Cinema and some a few other corporate

475
00:30:51,280 --> 00:30:54,960
Speaker 1: Democrats to basically just completely flipped this thing over. But

476
00:30:55,040 --> 00:30:57,240
Speaker 1: there are still things that are still in the Build

477
00:30:57,240 --> 00:31:00,680
Speaker 1: Back Better Bill kind of a little bit mostly some

478
00:31:00,760 --> 00:31:04,920
Speaker 1: of it. The child tax Credit extended only maybe a

479
00:31:05,000 --> 00:31:07,960
Speaker 1: year or two. Can't can't go too far out, even

480
00:31:07,960 --> 00:31:10,280
Speaker 1: though that's like one of the most popular things right

481
00:31:10,280 --> 00:31:13,720
Speaker 1: now in the United States for many parents. Also, the

482
00:31:13,760 --> 00:31:16,200
Speaker 1: Affordable Care Act subsidies, those are in there. Those are

483
00:31:16,200 --> 00:31:20,640
Speaker 1: still there. Paid family leave a great one, Joe Biden,

484
00:31:20,720 --> 00:31:23,400
Speaker 1: And you know, the the idea was manned twelve weeks

485
00:31:23,520 --> 00:31:25,920
Speaker 1: of paid family leave. We get it. We're trying to

486
00:31:25,960 --> 00:31:28,920
Speaker 1: compete with other nations that are sort of on the

487
00:31:28,960 --> 00:31:32,360
Speaker 1: same level economically and saying yes, we can, we can

488
00:31:32,400 --> 00:31:34,560
Speaker 1: do that, except now it's only gonna be four weeks.

489
00:31:35,080 --> 00:31:38,640
Speaker 1: Oh what is it now? Like what what's the standard

490
00:31:38,960 --> 00:31:43,320
Speaker 1: in America? Now? Like that doesn't seem is it just zero? Yeah?

491
00:31:43,400 --> 00:31:45,760
Speaker 1: Probably mean it depends on your company, right or otherwise, like, hey,

492
00:31:45,800 --> 00:31:49,440
Speaker 1: go on a disability and then there's either we also

493
00:31:49,520 --> 00:31:53,880
Speaker 1: got home care for elderly and disabled Americans. You're like, oh, yeah, right, right, right,

494
00:31:53,920 --> 00:31:56,680
Speaker 1: that's a huge cost for people, Like how can we

495
00:31:56,720 --> 00:31:59,200
Speaker 1: make that How can we ease that burden for Americans?

496
00:31:59,480 --> 00:32:02,240
Speaker 1: The original no price tag on there, four hundred billion

497
00:32:02,280 --> 00:32:05,920
Speaker 1: that felt about right considering the population. Sure, and to

498
00:32:05,920 --> 00:32:09,200
Speaker 1: to actually ease this bill that many people have, or

499
00:32:09,240 --> 00:32:11,800
Speaker 1: this huge spend that many people make, even though starting

500
00:32:11,800 --> 00:32:15,520
Speaker 1: a four billion down to less than two billion, and

501
00:32:15,760 --> 00:32:19,000
Speaker 1: universal pre K is still there. But you know, it's

502
00:32:19,000 --> 00:32:20,840
Speaker 1: still up in there. It's still up in there. You know.

503
00:32:20,920 --> 00:32:25,160
Speaker 1: Don't don't start don't start play, don't start losing your

504
00:32:25,240 --> 00:32:28,680
Speaker 1: faith now. And then the party just because we're taking

505
00:32:28,720 --> 00:32:31,239
Speaker 1: an axe to all these things that we're kind of

506
00:32:31,280 --> 00:32:34,080
Speaker 1: the big carrot we're dangling in front of voters. I

507
00:32:34,160 --> 00:32:38,840
Speaker 1: do love the in play and play ball. Are these

508
00:32:38,880 --> 00:32:43,200
Speaker 1: euphemisms for, you know, making it sound fun, the just

509
00:32:43,600 --> 00:32:47,160
Speaker 1: vigorous fucking of the people of this country by the

510
00:32:47,200 --> 00:32:51,880
Speaker 1: political system. Yeah, we're just playing a game with people's lives. Alright,

511
00:32:52,760 --> 00:32:56,640
Speaker 1: Okay now, but yeah, and meanwhile, you have Kirsten Cinema

512
00:32:56,680 --> 00:33:00,880
Speaker 1: out here saying she just flatly just refuses to like

513
00:33:00,920 --> 00:33:03,560
Speaker 1: will reject any kind of bill that is going to

514
00:33:03,640 --> 00:33:08,280
Speaker 1: raise taxes on wealthy people and companies. But like Kirsten, like,

515
00:33:08,320 --> 00:33:12,120
Speaker 1: didn't you vote against the Trump tax cuts or that

516
00:33:12,280 --> 00:33:14,360
Speaker 1: didn't you say you wanted to reverse I mean, even

517
00:33:14,440 --> 00:33:17,280
Speaker 1: Joe Mansion is like, well, I think we can. I

518
00:33:17,280 --> 00:33:20,640
Speaker 1: think we can bring some taxes back up. But Kurston

519
00:33:20,720 --> 00:33:23,920
Speaker 1: Cinema absolutely not. She's been telling lobbyists out loud that

520
00:33:23,960 --> 00:33:27,640
Speaker 1: she won't budge on this. So this now puts Democrats

521
00:33:27,680 --> 00:33:30,720
Speaker 1: in this position as they try and negotiate this, like

522
00:33:31,120 --> 00:33:33,720
Speaker 1: where they don't know what they're going to do. You

523
00:33:33,760 --> 00:33:36,200
Speaker 1: know that what are you gonna do? Now we have

524
00:33:36,480 --> 00:33:39,880
Speaker 1: two corporate shills who are absolutely going to take the

525
00:33:39,960 --> 00:33:42,760
Speaker 1: teeth out of this transformative bill because of their like

526
00:33:43,080 --> 00:33:48,240
Speaker 1: allegiances to their donors, and sadly, you know, I feel

527
00:33:48,240 --> 00:33:50,360
Speaker 1: like the only thing transforming is going to be those

528
00:33:50,400 --> 00:33:53,640
Speaker 1: majorities in the House in the Senate if they completely

529
00:33:54,160 --> 00:33:57,960
Speaker 1: falter on this and they're also successfully rat fucking like

530
00:33:58,000 --> 00:34:01,240
Speaker 1: the electoral process right like they yes, I mean they

531
00:34:01,320 --> 00:34:04,080
Speaker 1: tried to. They tried to put a bill to a

532
00:34:04,160 --> 00:34:07,080
Speaker 1: vote or just to a debate on Wednesday night, just

533
00:34:07,120 --> 00:34:11,360
Speaker 1: to make voting easier for people. The Republicans obviously unanimously

534
00:34:11,440 --> 00:34:14,040
Speaker 1: voted to fucking block it. Even though this was something

535
00:34:14,120 --> 00:34:15,960
Speaker 1: Joe Manson was saying, like, hey, if if you take

536
00:34:16,000 --> 00:34:18,040
Speaker 1: these things out, these things out, but I can get

537
00:34:18,080 --> 00:34:21,319
Speaker 1: ten Republicans, I can get and cut too. You don't

538
00:34:21,360 --> 00:34:23,800
Speaker 1: have you're holding nothing, you're holding the fart, and you

539
00:34:23,880 --> 00:34:30,719
Speaker 1: can't like we'll just and she's back and she's my

540
00:34:30,960 --> 00:34:38,240
Speaker 1: uh uh cats ate through my It's fine. Literally, they can't.

541
00:34:38,840 --> 00:34:41,799
Speaker 1: They will not ever be able to be like, oh,

542
00:34:42,000 --> 00:34:45,640
Speaker 1: we'll just let you like be our friends and blah

543
00:34:45,640 --> 00:34:48,919
Speaker 1: blah blah blah blah. The Republicans don't care. They don't

544
00:34:49,040 --> 00:34:51,840
Speaker 1: like us. Yeah, and they tell well, they tell people

545
00:34:51,880 --> 00:34:54,080
Speaker 1: like Joe Mansion or have him feeling like, hey, if

546
00:34:54,120 --> 00:34:57,799
Speaker 1: you you know completely have no spine. We might help

547
00:34:57,840 --> 00:34:59,960
Speaker 1: you out with some votes. That doesn't happen, because that's

548
00:35:00,000 --> 00:35:03,880
Speaker 1: always the deal. It's just always letting them just be

549
00:35:04,160 --> 00:35:07,120
Speaker 1: fucking pieces of ship. Well, I think, you know, as

550
00:35:07,160 --> 00:35:11,200
Speaker 1: it stands the Democratic Party of now, it's just they

551
00:35:11,360 --> 00:35:14,520
Speaker 1: they very much feel like they need this group of

552
00:35:15,000 --> 00:35:18,680
Speaker 1: weirdos to co sign anything they do to make things like,

553
00:35:18,880 --> 00:35:21,600
Speaker 1: you know, palatable for Americans when most people are looking

554
00:35:21,640 --> 00:35:24,600
Speaker 1: at it and just saying, no, this is just straight trash.

555
00:35:24,640 --> 00:35:27,440
Speaker 1: But yeah, this is just you know, uh, we're just

556
00:35:27,480 --> 00:35:30,920
Speaker 1: seeing a rapid decline, even with cinemas like support. I mean,

557
00:35:30,960 --> 00:35:33,440
Speaker 1: like the polling is whatever. But she just had a

558
00:35:33,480 --> 00:35:35,960
Speaker 1: group of veterans that were like on this advisory panel

559
00:35:36,040 --> 00:35:39,160
Speaker 1: that like helped her get elected. They just all resigned

560
00:35:39,160 --> 00:35:42,440
Speaker 1: in mass because they can't believe she's going back on

561
00:35:42,520 --> 00:35:45,239
Speaker 1: all the things she promised them that she would do

562
00:35:45,719 --> 00:35:48,399
Speaker 1: once she was in office. So now they're like, well,

563
00:35:48,520 --> 00:35:50,719
Speaker 1: we don't recognize this person. They won't she won't even

564
00:35:50,760 --> 00:35:54,160
Speaker 1: take our calls anymore. So all we have to do

565
00:35:54,280 --> 00:35:56,399
Speaker 1: is like, we can't we can't be we can't have

566
00:35:56,440 --> 00:35:58,640
Speaker 1: our names as veterans be used to sort of prop

567
00:35:58,719 --> 00:36:01,279
Speaker 1: up her profile, like it feels like she was doing

568
00:36:01,280 --> 00:36:03,799
Speaker 1: so Yeah, she's pretty aggressively playing a lot of the

569
00:36:03,800 --> 00:36:07,359
Speaker 1: people that supported her. But I think most politicians are,

570
00:36:07,520 --> 00:36:10,600
Speaker 1: you really. I mean, I feel like the Democrats also,

571
00:36:11,000 --> 00:36:16,160
Speaker 1: like they are playing a game where they're trying to

572
00:36:17,160 --> 00:36:19,880
Speaker 1: not do the things that are needed because they're worried,

573
00:36:20,239 --> 00:36:24,680
Speaker 1: like they're you know, half stepping it. And then they like,

574
00:36:24,760 --> 00:36:28,160
Speaker 1: for instance, the voting rights thing is an existential threat

575
00:36:28,239 --> 00:36:33,319
Speaker 1: to any sort of progressive policies that uh, you know,

576
00:36:33,400 --> 00:36:37,160
Speaker 1: could possibly be pushed through in the near future. And

577
00:36:37,840 --> 00:36:42,239
Speaker 1: we get a like, you know, Kamala Harris is just

578
00:36:42,320 --> 00:36:45,360
Speaker 1: like this is a sad day. We're gonna keep fighting,

579
00:36:45,360 --> 00:36:47,719
Speaker 1: and it's like, but you just the only thing that

580
00:36:47,760 --> 00:36:51,240
Speaker 1: will work is abolishing the filibuster. It's an existential threat

581
00:36:51,320 --> 00:36:54,120
Speaker 1: to the things you claim to care about. But they're

582
00:36:54,120 --> 00:36:58,439
Speaker 1: just not doing the thing. And I think some are made.

583
00:36:58,560 --> 00:37:01,840
Speaker 1: I mean, Angus King from Maine said something along the

584
00:37:01,880 --> 00:37:04,120
Speaker 1: lines of like, I really believe we're like at this

585
00:37:04,200 --> 00:37:07,720
Speaker 1: turning point and we have to really make a crucial

586
00:37:07,760 --> 00:37:12,200
Speaker 1: decision that is going to reverberate for decades to come.

587
00:37:12,560 --> 00:37:17,359
Speaker 1: Like I think a very light touch version be like, hey, Hey, hey, uh,

588
00:37:17,400 --> 00:37:20,239
Speaker 1: if we don't do something that the whole jig could

589
00:37:20,280 --> 00:37:22,399
Speaker 1: be up on sort of what this version of a

590
00:37:22,440 --> 00:37:25,000
Speaker 1: democracy that we thought we were participation? Why are we

591
00:37:25,080 --> 00:37:29,080
Speaker 1: just not being pieces of ship? Yeah? Well, I think

592
00:37:29,440 --> 00:37:31,319
Speaker 1: but because that's like just sort of the buyineer. You

593
00:37:31,360 --> 00:37:34,680
Speaker 1: have craven racists on one side, and then like these

594
00:37:34,719 --> 00:37:37,680
Speaker 1: neoliberal people who are like, hey, I gotta I'll give

595
00:37:37,719 --> 00:37:40,719
Speaker 1: it up to the corporate donors. I'll also pay lip

596
00:37:40,760 --> 00:37:44,400
Speaker 1: service to social movements that are popular because I've collected

597
00:37:44,400 --> 00:37:47,400
Speaker 1: all the right opinions. But do I have the wherewithal

598
00:37:47,440 --> 00:37:50,160
Speaker 1: and conviction to actually act those out as a leader

599
00:37:50,200 --> 00:37:53,640
Speaker 1: in Congress? I don't know. I don't know. Yeah, all right,

600
00:37:53,719 --> 00:37:55,440
Speaker 1: let's take a quick break and we'll come back and

601
00:37:55,480 --> 00:38:10,759
Speaker 1: talk about other less frustrating things and we're back. And

602
00:38:10,880 --> 00:38:13,440
Speaker 1: that's a that's a promise I actually can't keep because

603
00:38:13,480 --> 00:38:16,560
Speaker 1: now we're going to talk about internet service providers, which

604
00:38:16,560 --> 00:38:23,759
Speaker 1: are pretty fucking frustrating, but ship, speaking of Jesus fucking right, Yeah,

605
00:38:24,520 --> 00:38:28,879
Speaker 1: how so you're cats ete through your internet? No, I

606
00:38:28,960 --> 00:38:32,839
Speaker 1: just Spectrum is a piece of ship, and I paid

607
00:38:33,000 --> 00:38:39,200
Speaker 1: extra money for them, and now they are not servicing me. Yeah,

608
00:38:41,880 --> 00:38:44,160
Speaker 1: like that you should be. I mean, I think everybody

609
00:38:44,400 --> 00:38:46,480
Speaker 1: this is I think this is a common refrain in

610
00:38:46,520 --> 00:38:49,120
Speaker 1: the in the US, which is we hate our internet

611
00:38:49,160 --> 00:38:53,120
Speaker 1: service providers. And this squid Game story has been something

612
00:38:53,160 --> 00:38:57,160
Speaker 1: that we've seen like a lot of headlines around and

613
00:38:57,239 --> 00:39:00,360
Speaker 1: I'm like, squid Game is so popular, it's end up

614
00:39:00,400 --> 00:39:03,520
Speaker 1: the Internet. There was a story about how Telecoms Company

615
00:39:03,680 --> 00:39:06,600
Speaker 1: was like, you know, suing Netflix uh in South Korek

616
00:39:06,640 --> 00:39:09,239
Speaker 1: because they were saying like, it's created so much more

617
00:39:09,360 --> 00:39:12,160
Speaker 1: viewing and people are using so much more bandwidth on

618
00:39:12,280 --> 00:39:16,000
Speaker 1: broadband that they had to sue Netflix, like this is absurd.

619
00:39:16,440 --> 00:39:19,160
Speaker 1: In the UK, they're also saying things like, you know,

620
00:39:19,239 --> 00:39:22,640
Speaker 1: something has to be done about Netflix. Their content is

621
00:39:22,680 --> 00:39:27,000
Speaker 1: creating distraining our internet tubes. What are we going to do?

622
00:39:27,920 --> 00:39:30,239
Speaker 1: And a lot of I think here's the thing. If

623
00:39:30,280 --> 00:39:33,120
Speaker 1: you're someone who isn't really tech savvy like me, and

624
00:39:33,200 --> 00:39:35,600
Speaker 1: you're also just used to regularly being sucked over by

625
00:39:35,600 --> 00:39:38,759
Speaker 1: an Internet service provider like me, that might sound like

626
00:39:38,800 --> 00:39:42,680
Speaker 1: a realistic explanation, but most people who are like experts

627
00:39:42,680 --> 00:39:45,440
Speaker 1: and telecoms like that's not how it works. Like this

628
00:39:45,520 --> 00:39:47,839
Speaker 1: saying this show is probably doesn't give you the right

629
00:39:47,880 --> 00:39:50,319
Speaker 1: to be like, yo, we're suing you. This is too much,

630
00:39:51,600 --> 00:39:54,480
Speaker 1: because they're saying like, you know this. One broadband expert

631
00:39:54,640 --> 00:39:56,800
Speaker 1: who is talking to The Verge said, well, people subscribe

632
00:39:56,840 --> 00:39:59,719
Speaker 1: to broadband to do things like stream video, and it's

633
00:39:59,719 --> 00:40:03,400
Speaker 1: brid band customers who are requesting all these squid game streams.

634
00:40:03,600 --> 00:40:05,840
Speaker 1: They are not somehow imposed on I S B s

635
00:40:05,880 --> 00:40:09,200
Speaker 1: by Netflix, so already like, that's not the relationship here.

636
00:40:09,440 --> 00:40:12,799
Speaker 1: And then on top of it, they already have their

637
00:40:12,840 --> 00:40:15,160
Speaker 1: network sort of set up in this way to be

638
00:40:15,239 --> 00:40:17,759
Speaker 1: able to handle when people are a ton of people

639
00:40:17,800 --> 00:40:20,439
Speaker 1: are using the Internet. They just understand that because that's

640
00:40:20,480 --> 00:40:22,640
Speaker 1: just part of them providing services. They have to be

641
00:40:22,680 --> 00:40:26,960
Speaker 1: able to provide this service. And you know, they're already

642
00:40:26,960 --> 00:40:31,440
Speaker 1: being paid by all kinds of people, whether it's businesses, consumers, etcetera.

643
00:40:31,800 --> 00:40:36,080
Speaker 1: So this this for them. The responsibility to meet the

644
00:40:36,120 --> 00:40:40,520
Speaker 1: demand isn't Netflix's problem, it's the broadband company's problem, right,

645
00:40:41,239 --> 00:40:46,520
Speaker 1: And telecoms are like a, I don't know, it just

646
00:40:46,560 --> 00:40:48,480
Speaker 1: seems like it's the sort of thing that should be

647
00:40:48,640 --> 00:40:52,799
Speaker 1: a like a need and not like a thing. Yeah,

648
00:40:52,800 --> 00:40:56,719
Speaker 1: it should be nationalized absolutely because it doesn't make sense

649
00:40:57,160 --> 00:41:03,399
Speaker 1: only because I don't trust, I don't the government. Well,

650
00:41:03,600 --> 00:41:06,240
Speaker 1: at the same time, I think I don't know. I'd

651
00:41:06,280 --> 00:41:08,879
Speaker 1: look at this as a utility for sure, and really

652
00:41:08,920 --> 00:41:11,399
Speaker 1: treating it as a way that needs to be at

653
00:41:11,400 --> 00:41:14,640
Speaker 1: the very least have some standards and not having the

654
00:41:14,680 --> 00:41:17,480
Speaker 1: ability to gouge people, because for the most part, most

655
00:41:17,520 --> 00:41:19,839
Speaker 1: people like are in a duopoly where they live based

656
00:41:19,880 --> 00:41:22,560
Speaker 1: on if you want the internet, there there there typically

657
00:41:22,600 --> 00:41:25,799
Speaker 1: isn't a whole broad range of people you can get

658
00:41:25,800 --> 00:41:29,200
Speaker 1: your Internet from. And this whole thing is it all

659
00:41:29,239 --> 00:41:32,040
Speaker 1: goes back to this from this trope that basically kicked

660
00:41:32,040 --> 00:41:34,680
Speaker 1: off the net neutrality debate was that I s p

661
00:41:34,840 --> 00:41:37,399
Speaker 1: s don't like that other companies are getting rich off

662
00:41:37,440 --> 00:41:41,920
Speaker 1: of content that uses their infrastructure. They think, like, but

663
00:41:42,040 --> 00:41:44,480
Speaker 1: our tubes are delivering it, like we we want to

664
00:41:44,520 --> 00:41:48,680
Speaker 1: taste of that. And the thing is, companies like Netflix

665
00:41:48,960 --> 00:41:51,040
Speaker 1: are ready pay a lot of money to make sure

666
00:41:51,080 --> 00:41:56,120
Speaker 1: that their their content can be accessed easily. They like Google, Facebook,

667
00:41:56,120 --> 00:41:58,880
Speaker 1: all these people they pay for stuff like billions of

668
00:41:58,920 --> 00:42:04,520
Speaker 1: dollars on cloud pacity or undersea cables, content delivery networks.

669
00:42:04,520 --> 00:42:07,319
Speaker 1: They're not just like you know, logging in on their

670
00:42:07,400 --> 00:42:10,200
Speaker 1: Netflix computer and then just destroying the earth, being like,

671
00:42:10,360 --> 00:42:13,040
Speaker 1: all right, have a at folks. Netflix is online. So

672
00:42:13,520 --> 00:42:16,680
Speaker 1: this whole thing is already being just kind of you

673
00:42:16,680 --> 00:42:19,359
Speaker 1: can tell, it's being sort of positioned in a way

674
00:42:19,440 --> 00:42:22,399
Speaker 1: to try and build more momentum towards trying to get

675
00:42:22,800 --> 00:42:25,879
Speaker 1: other companies to help foot the bill for a telecom's

676
00:42:26,080 --> 00:42:30,440
Speaker 1: you know, uh, operational and construction costs, right, Yeah, I

677
00:42:30,480 --> 00:42:34,320
Speaker 1: mean that's why they are are trying to be content

678
00:42:34,360 --> 00:42:38,640
Speaker 1: companies like Mr Mercedes. Wasn't that like a show? I

679
00:42:38,640 --> 00:42:42,920
Speaker 1: think it TV? And it was on a T and T. Yeah,

680
00:42:43,000 --> 00:42:45,040
Speaker 1: they gotta they they had a pretty solid writers room

681
00:42:45,040 --> 00:42:48,160
Speaker 1: though they were there, they were making moves. Well we

682
00:42:48,239 --> 00:42:51,400
Speaker 1: never look, we never blamed the people that work for

683
00:42:51,440 --> 00:42:56,360
Speaker 1: the company, Is that right? Yeah? But the yeah, the

684
00:42:56,640 --> 00:42:59,520
Speaker 1: I think it's just a really it's just ironic, right

685
00:42:59,600 --> 00:43:02,080
Speaker 1: that this squid game is already this sort of like

686
00:43:02,160 --> 00:43:07,160
Speaker 1: late stage capitalism critique and internet service providers who are

687
00:43:07,200 --> 00:43:10,120
Speaker 1: greedy as funck and already causing problems for people in

688
00:43:10,200 --> 00:43:13,120
Speaker 1: terms of their ability to connect to the internet, were like, hey,

689
00:43:13,239 --> 00:43:16,640
Speaker 1: we want more money. You want more money, Like, go

690
00:43:16,719 --> 00:43:20,640
Speaker 1: back in your fucking cave. It's another example of the

691
00:43:20,680 --> 00:43:24,239
Speaker 1: mainstream media and legacy media in the US being extremely

692
00:43:24,280 --> 00:43:31,040
Speaker 1: easy to manipulate, where whoever handles internet service providers pr

693
00:43:31,160 --> 00:43:33,960
Speaker 1: for them. Like saw a trend, saw that everybody was

694
00:43:33,960 --> 00:43:36,360
Speaker 1: talking about squid game being popular and was just like

695
00:43:36,440 --> 00:43:40,520
Speaker 1: jump on that. Talk about how that is taxing like

696
00:43:40,800 --> 00:43:46,680
Speaker 1: our tubes too much, and you know they're being played

697
00:43:46,880 --> 00:43:49,640
Speaker 1: like a fiddle. Yeah, well, I think they look at

698
00:43:49,680 --> 00:43:52,680
Speaker 1: stats like it's the number one show in ninety four countries,

699
00:43:52,800 --> 00:43:55,359
Speaker 1: it's in millions of homes. But then you lose your

700
00:43:55,480 --> 00:43:59,760
Speaker 1: argument because like telecomms people say, like, look all live

701
00:44:00,320 --> 00:44:03,399
Speaker 1: live streamed event. You might have an argument there because

702
00:44:03,400 --> 00:44:05,440
Speaker 1: a ton of people are going to be focused on

703
00:44:05,480 --> 00:44:08,120
Speaker 1: the same bit of content at a very specific time.

704
00:44:08,480 --> 00:44:12,360
Speaker 1: But with Netflix and streaming stuff, people live in different

705
00:44:12,360 --> 00:44:16,160
Speaker 1: time zones, people have different schedules. Not everyone says, hey,

706
00:44:16,239 --> 00:44:18,880
Speaker 1: y'all at seven o'clock on a weeknight, everybody go to

707
00:44:18,920 --> 00:44:21,759
Speaker 1: Netflix and stream the show that's already been out and

708
00:44:21,920 --> 00:44:25,359
Speaker 1: fully released. So there's like a lot of behavioral sort

709
00:44:25,400 --> 00:44:28,399
Speaker 1: of just data points that suggest like what what's your

710
00:44:28,480 --> 00:44:31,120
Speaker 1: what exactly is your point here? But they just recognize

711
00:44:31,200 --> 00:44:34,840
Speaker 1: that like just all these media outlets were wanted to

712
00:44:34,880 --> 00:44:37,080
Speaker 1: put squid game in the title of an article like

713
00:44:37,160 --> 00:44:40,080
Speaker 1: that was getting clicks, so they just jumped jumped in there,

714
00:44:40,239 --> 00:44:44,640
Speaker 1: and we're like, yeah, alright, real quick, let's talk about

715
00:44:44,760 --> 00:44:49,840
Speaker 1: h you know, rotten tomatoes and Danielle has disappeared again.

716
00:44:50,080 --> 00:44:55,040
Speaker 1: I think telecoms. The telecoms are are onto us. They're like,

717
00:44:55,239 --> 00:45:00,520
Speaker 1: you're complaining about Trump Media network the all right, but

718
00:45:01,160 --> 00:45:04,200
Speaker 1: I do want to talk about rotten Tomatoes as a

719
00:45:04,239 --> 00:45:08,120
Speaker 1: new culture war battlefield, because that is a story that

720
00:45:08,280 --> 00:45:12,160
Speaker 1: Fox is trying to tell and and other I guess

721
00:45:12,400 --> 00:45:15,399
Speaker 1: Fox and The Federalist a couple of weeks ago had

722
00:45:15,440 --> 00:45:18,800
Speaker 1: the story about how like cancel culture has like created

723
00:45:18,800 --> 00:45:23,480
Speaker 1: this massive gap between audiences and critics, and they pointed

724
00:45:23,560 --> 00:45:30,000
Speaker 1: to the Chapel Special and a documentary about Fauci, and

725
00:45:30,120 --> 00:45:33,880
Speaker 1: we're like, the Chappell Special has is in the thirties

726
00:45:34,080 --> 00:45:38,360
Speaker 1: in terms of critical approval, but it's like nine percent

727
00:45:38,640 --> 00:45:43,640
Speaker 1: when it comes to audiences. And the stories just completely

728
00:45:43,640 --> 00:45:50,919
Speaker 1: ignore that these are artificially inflated numbers because the right

729
00:45:51,120 --> 00:45:56,800
Speaker 1: and like conservative media outlets get people to create these

730
00:45:56,960 --> 00:46:01,359
Speaker 1: massive numbers in order to create these stories. Essentially mm hmm,

731
00:46:01,920 --> 00:46:04,840
Speaker 1: Like this Vice article about it points out that. So

732
00:46:04,920 --> 00:46:08,400
Speaker 1: when you look at the reviews for the Chappelle special,

733
00:46:08,840 --> 00:46:12,239
Speaker 1: there are two thousand, five hundred reviews from audience members,

734
00:46:12,600 --> 00:46:17,360
Speaker 1: which Netflix shows don't usually draw that kind of reaction

735
00:46:17,400 --> 00:46:19,879
Speaker 1: from the public at all. The most popular show in

736
00:46:20,280 --> 00:46:25,120
Speaker 1: Netflix's history, Squid Game, has just over one reviews. So

737
00:46:25,200 --> 00:46:31,160
Speaker 1: it's it's them, you know, some fucking Facebook group being like, hey,

738
00:46:31,920 --> 00:46:36,200
Speaker 1: it's important to Jesus that you go to this page

739
00:46:36,239 --> 00:46:40,120
Speaker 1: and click that you like this special and hate this

740
00:46:40,200 --> 00:46:46,279
Speaker 1: other one, and you know they're right Jesus approof Yeah,

741
00:46:46,320 --> 00:46:50,080
Speaker 1: well it's uh. I mean even saw yesterday or on

742
00:46:50,120 --> 00:46:53,000
Speaker 1: Wednesday when the walkout happened, they were like some confrontations

743
00:46:53,040 --> 00:46:56,600
Speaker 1: were like a couple just smooth brains, Like people had

744
00:46:56,719 --> 00:47:00,640
Speaker 1: signs like to I guess counter protests, the like trains

745
00:47:00,680 --> 00:47:03,240
Speaker 1: employees and allies that have walked out just having signs

746
00:47:03,280 --> 00:47:09,279
Speaker 1: like Dave is funny and you're like, wow, ok, yeah,

747
00:47:09,320 --> 00:47:11,560
Speaker 1: you seem really passionate about this, or just a real

748
00:47:11,719 --> 00:47:14,600
Speaker 1: low energy troll job. And what could be what couldn't

749
00:47:14,640 --> 00:47:17,120
Speaker 1: be more low energy trolling than just merely going to

750
00:47:17,120 --> 00:47:20,879
Speaker 1: a website clicking something and be like, look at that.

751
00:47:21,200 --> 00:47:26,200
Speaker 1: The people have spoken. Yeah, exactly. But that's you know,

752
00:47:26,480 --> 00:47:31,160
Speaker 1: it's at the like been a long term trend, like

753
00:47:31,200 --> 00:47:35,400
Speaker 1: if you look at audience numbers for basically any movie

754
00:47:35,680 --> 00:47:40,880
Speaker 1: that has a negative connotation when it comes to like

755
00:47:41,000 --> 00:47:46,520
Speaker 1: conservative media commentators, any Marvel movie that stars anyone who's

756
00:47:46,560 --> 00:47:50,520
Speaker 1: not a white man, it will have a artificially negative

757
00:47:50,800 --> 00:47:53,919
Speaker 1: review and say saying with the Star Wars movies, right, yeah,

758
00:47:53,920 --> 00:47:56,720
Speaker 1: because I mean we saw people like brigading in those things,

759
00:47:56,800 --> 00:47:59,120
Speaker 1: like just to be like, I hate that this woman

760
00:47:59,280 --> 00:48:04,839
Speaker 1: is on screen and she's Asian, but hey, clearly they're

761
00:48:04,880 --> 00:48:11,440
Speaker 1: winning with this very ineffective strategy. Exactly. All right, well

762
00:48:11,719 --> 00:48:14,440
Speaker 1: that is going to do it for us. On this

763
00:48:14,480 --> 00:48:18,880
Speaker 1: Friday morning, Danielle is still off the internet as far

764
00:48:18,920 --> 00:48:21,880
Speaker 1: as we can tell, ye, So hey, I'll tell you

765
00:48:21,960 --> 00:48:24,920
Speaker 1: where you can find Danielle though at Danielle Radford d

766
00:48:25,040 --> 00:48:27,040
Speaker 1: A N I E L L E R A D

767
00:48:27,120 --> 00:48:30,920
Speaker 1: F O R D one. What's the tweet she's been

768
00:48:31,040 --> 00:48:33,480
Speaker 1: enjoying mouth? Hey, you know, it's pretty easy. I can

769
00:48:33,520 --> 00:48:37,000
Speaker 1: just go into the likes and say, yo, she liked

770
00:48:37,000 --> 00:48:40,000
Speaker 1: that one I liked yesterday about the dogs having twenty nicknames,

771
00:48:40,000 --> 00:48:43,680
Speaker 1: and then it turns into chaos. And then another one

772
00:48:44,080 --> 00:48:47,560
Speaker 1: is well, this is from dark cheek FtF. Sweet Muslim

773
00:48:47,560 --> 00:48:49,640
Speaker 1: Girl tweeted, I if I eat burritos by holding them

774
00:48:49,640 --> 00:48:51,600
Speaker 1: at the ends and biting into the middle, would you

775
00:48:51,680 --> 00:48:54,200
Speaker 1: still love me? Actually? That would you? That would be

776
00:48:54,239 --> 00:48:58,480
Speaker 1: Justin Bieber or that fake Justin Bieber? I still love you? Yeah?

777
00:48:58,719 --> 00:49:02,359
Speaker 1: Eat heything that's shaped like that like a corn cob.

778
00:49:03,080 --> 00:49:06,520
Speaker 1: Just see who your true love, who your true loves are.

779
00:49:07,200 --> 00:49:10,280
Speaker 1: If you could somehow eat a burrito like a corn

780
00:49:10,320 --> 00:49:15,400
Speaker 1: cob perscual integrity, I mean you can't once you fully,

781
00:49:15,840 --> 00:49:18,799
Speaker 1: you know, eat that outside burrito that's like that's the

782
00:49:18,800 --> 00:49:20,799
Speaker 1: thing holding it together. You would have to do it

783
00:49:20,840 --> 00:49:24,560
Speaker 1: in zero gravity outer space, I think. But oh, good point.

784
00:49:25,280 --> 00:49:28,800
Speaker 1: I mean, you know that's that's why I am trying

785
00:49:28,800 --> 00:49:32,200
Speaker 1: to court Bezos to get into fly me into space.

786
00:49:32,360 --> 00:49:35,040
Speaker 1: Or what if you like did a canoe style. He's

787
00:49:35,040 --> 00:49:36,879
Speaker 1: a bit the top up and then you just kind

788
00:49:36,880 --> 00:49:38,960
Speaker 1: of getting in there, just getting in thending out and

789
00:49:39,080 --> 00:49:42,480
Speaker 1: you got like just a burrito sheet of a canoe.

790
00:49:42,560 --> 00:49:46,640
Speaker 1: All right, Well send in your alternative burrito eating styles, folks.

791
00:49:46,719 --> 00:49:48,680
Speaker 1: Hey miles, where can people find you? And what is

792
00:49:48,719 --> 00:49:53,560
Speaker 1: a tweet? You've been enjoying Yes, uh what. You can

793
00:49:53,560 --> 00:49:56,000
Speaker 1: find me on Twitter and Instagram at Miles of Gray

794
00:49:56,000 --> 00:49:58,600
Speaker 1: and also the other show for twenty Day Fiance with

795
00:49:58,640 --> 00:50:01,680
Speaker 1: Sophia Alexandra. A couple of tweets I like. First one

796
00:50:01,840 --> 00:50:04,280
Speaker 1: is from at Doug Jay Balloon the New York Times

797
00:50:04,320 --> 00:50:07,560
Speaker 1: pitch spot, tweeting my toddler asked me why won't I

798
00:50:07,600 --> 00:50:10,360
Speaker 1: get a Christmas present this year? And when I told

799
00:50:10,440 --> 00:50:13,959
Speaker 1: him because critical race theory destroyed the global supply chain,

800
00:50:14,280 --> 00:50:17,799
Speaker 1: he started crying. And one more and I hate to

801
00:50:17,840 --> 00:50:19,799
Speaker 1: just bring up another Ben Simmons street, but I thought

802
00:50:19,800 --> 00:50:22,759
Speaker 1: this one was very very good. This is from I

803
00:50:23,000 --> 00:50:26,200
Speaker 1: Disrespected Liberals at who Lisa f r M five oh

804
00:50:26,200 --> 00:50:29,239
Speaker 1: three first quote tweeting this NBA Central tweet that says

805
00:50:29,320 --> 00:50:32,400
Speaker 1: Ben Simmons is willing to do whatever it takes to

806
00:50:32,440 --> 00:50:36,360
Speaker 1: get out of Philadelphia and uh at who Lisa tweeted

807
00:50:36,640 --> 00:50:39,040
Speaker 1: has he tried getting in one little fight so his

808
00:50:39,160 --> 00:50:48,000
Speaker 1: mom got scared? Wow? Classic? Very well done. All right,

809
00:50:48,040 --> 00:50:51,200
Speaker 1: you can find me on Twitter, Jack Underscore Brian been

810
00:50:51,320 --> 00:50:53,359
Speaker 1: enjoying a bunch of tweets. I'm just gonna go with

811
00:50:53,600 --> 00:50:56,320
Speaker 1: this one from Karen che tweeted the biggest line movies

812
00:50:56,480 --> 00:50:59,440
Speaker 1: is that you pick your plus one to weddings. I'm

813
00:50:59,480 --> 00:51:01,799
Speaker 1: going to our weddings next year and they're all like,

814
00:51:01,880 --> 00:51:06,960
Speaker 1: no plus ones unless we explicitly invited them. Like, she's okay,

815
00:51:07,080 --> 00:51:09,120
Speaker 1: So what do I do with this guy I found

816
00:51:09,120 --> 00:51:11,080
Speaker 1: in route to the wedding who I asked to pretend

817
00:51:11,120 --> 00:51:16,360
Speaker 1: to be my boyfriend? Um, that is some good movie

818
00:51:16,400 --> 00:51:19,840
Speaker 1: myth debunking. Karen, well done. You can find me on

819
00:51:19,840 --> 00:51:21,880
Speaker 1: Twitter at Jack under Square. Obrien you can find us

820
00:51:21,880 --> 00:51:24,200
Speaker 1: on Twitter at Daily Zike. Guys were at the Daily

821
00:51:24,280 --> 00:51:27,040
Speaker 1: Zyegeist on Instagram and we have a Facebook fan page

822
00:51:27,040 --> 00:51:30,480
Speaker 1: and a website, Daily Zeitgeist dot com, worry Post hire

823
00:51:30,520 --> 00:51:34,440
Speaker 1: episodes and our footnote we link off the information that

824
00:51:34,480 --> 00:51:36,600
Speaker 1: we talked about today is episode as well as a

825
00:51:36,680 --> 00:51:39,720
Speaker 1: song that we think you might want to go check out. Miles.

826
00:51:39,719 --> 00:51:42,759
Speaker 1: What song do we think people should go check Friday?

827
00:51:42,960 --> 00:51:46,359
Speaker 1: So this is a track called almost Blue by Lucy.

828
00:51:46,440 --> 00:51:48,480
Speaker 1: But if there's a space in between all the letters,

829
00:51:48,480 --> 00:51:50,400
Speaker 1: because that's the cool thing to do, l space you

830
00:51:50,480 --> 00:51:53,600
Speaker 1: space see space y And it's like just this super

831
00:51:53,760 --> 00:51:57,000
Speaker 1: fun tune. But it's wild because I don't it's hard

832
00:51:57,040 --> 00:52:00,320
Speaker 1: for me to sing the lyrics back because the lyrics

833
00:52:00,320 --> 00:52:03,000
Speaker 1: are like a lot of chopped up lyrics as a sample,

834
00:52:03,719 --> 00:52:07,040
Speaker 1: so it's very frenetic. It's energetic, but it's also got

835
00:52:07,040 --> 00:52:10,359
Speaker 1: sold despite it being like a permutation of another song.

836
00:52:10,440 --> 00:52:13,560
Speaker 1: But check this out Almost Blue by Lucy all Right. Well.

837
00:52:13,560 --> 00:52:15,840
Speaker 1: The Daily Zey Guys is a production of I Heart Radio.

838
00:52:15,880 --> 00:52:18,280
Speaker 1: For more podcasts from my Heart Radio, visit the iHeart

839
00:52:18,360 --> 00:52:20,600
Speaker 1: Radio app, Apple podcast, or wherever you listen to your

840
00:52:20,600 --> 00:52:23,040
Speaker 1: favorite shows. That's gonna do it for us this morning,

841
00:52:23,040 --> 00:52:25,560
Speaker 1: but we're back this afternoon to tell you what is

842
00:52:25,680 --> 00:52:29,920
Speaker 1: trending and we will talk to you all then. Bye bye,