1
00:00:01,720 --> 00:00:04,680
Speaker 1: Wake up class. The substitute is here and it's time

2
00:00:04,720 --> 00:00:07,400
Speaker 1: to welcome you the Internet two, Season two eighty one,

3
00:00:07,440 --> 00:00:10,840
Speaker 1: Episode four Up the Daily zeit geis. This is still

4
00:00:10,960 --> 00:00:13,760
Speaker 1: a production of iHeartRadio, and it's still a podcast where

5
00:00:13,800 --> 00:00:17,880
Speaker 1: we take a deep dive into America's shared consciousness. It

6
00:00:17,960 --> 00:00:23,200
Speaker 1: is Thursday, March thirtieth, twenty twenty three. You say what

7
00:00:23,360 --> 00:00:26,280
Speaker 1: national day it is? It's actually National take a Walk

8
00:00:26,320 --> 00:00:28,120
Speaker 1: in the Park Day. You know what I mean, Go

9
00:00:28,120 --> 00:00:30,000
Speaker 1: out there and get in nature, fucking frolic you know,

10
00:00:30,040 --> 00:00:32,000
Speaker 1: I mean it, stop being in the fucking concrete jungle.

11
00:00:32,040 --> 00:00:35,640
Speaker 1: Also National Turkey Neck Souper Day. I don't even know.

12
00:00:35,720 --> 00:00:36,960
Speaker 1: I didn't even know that was the thing. I just

13
00:00:36,960 --> 00:00:41,599
Speaker 1: like saying Turkey Neck, National Doctor's Day, National Virtual Vacation Day.

14
00:00:41,640 --> 00:00:44,000
Speaker 1: I'm gonna that better not be some metaverse shit, National

15
00:00:44,000 --> 00:00:47,080
Speaker 1: Pencil Day, and National I Am in Control Day. Shout

16
00:00:47,080 --> 00:00:49,080
Speaker 1: out to everybody that walked in the park, including our

17
00:00:49,159 --> 00:00:51,360
Speaker 1: very own Becca Ramos, who just had to stunt on

18
00:00:51,440 --> 00:00:53,400
Speaker 1: us in the chat saying, yeah, I took a walk

19
00:00:53,400 --> 00:00:56,520
Speaker 1: in the party. Okay, great, that's aastic. Well guess what

20
00:00:56,760 --> 00:00:59,280
Speaker 1: it's me the place in the place to be, the

21
00:00:59,400 --> 00:01:05,160
Speaker 1: GodMc miles g A k A. Jackie left me all alone.

22
00:01:05,520 --> 00:01:08,560
Speaker 1: He went on vacation when I got back to the show. Now,

23
00:01:08,640 --> 00:01:10,920
Speaker 1: these guests, I saw my new favorite friends. But when

24
00:01:11,040 --> 00:01:14,520
Speaker 1: this crofton, I still missed those plumpers plumpers. Okay. Shout

25
00:01:14,520 --> 00:01:16,280
Speaker 1: out to Fighter of the Night Man for that jumping

26
00:01:16,360 --> 00:01:20,600
Speaker 1: jump in Destiny's Child based AKA thanks. It's been a

27
00:01:20,600 --> 00:01:22,560
Speaker 1: while so to be able to sing that. And I'm

28
00:01:22,560 --> 00:01:25,199
Speaker 1: thrilled to be joined by my guest co host, who's

29
00:01:25,200 --> 00:01:29,160
Speaker 1: a wonderful chef, who's a wonderful comedian, writer, producer. He's

30
00:01:29,200 --> 00:01:31,040
Speaker 1: done it all, he's made it all, he's seen it all,

31
00:01:31,280 --> 00:01:34,560
Speaker 1: and he's also again I'm gonna keep saying it, he's

32
00:01:34,560 --> 00:01:39,120
Speaker 1: got the hands of Tyson. Okay, this thing will break

33
00:01:39,319 --> 00:01:41,720
Speaker 1: the internet. I don't even know how to else they're

34
00:01:41,720 --> 00:01:45,160
Speaker 1: introduce him, but please welcome Andrew g Yo. What's up?

35
00:01:45,240 --> 00:01:48,400
Speaker 1: I didn't have time to come up with a song AKA,

36
00:01:48,520 --> 00:01:51,280
Speaker 1: so the best I came up with is aka Kirkland

37
00:01:51,320 --> 00:01:55,240
Speaker 1: jack O'Brien hey ka, whack O'Brien heyka, And kind of

38
00:01:55,320 --> 00:01:57,360
Speaker 1: feels like they got Randall Park to play jaff for

39
00:01:57,400 --> 00:02:01,920
Speaker 1: what nah? Wait, what did you study in college, are

40
00:02:01,960 --> 00:02:05,040
Speaker 1: your bio guy. You don't want to we don't want to?

41
00:02:05,960 --> 00:02:09,680
Speaker 1: Yeah yeah, yeah, yeah yeah yeah yeah. See in Jack's

42
00:02:09,680 --> 00:02:11,600
Speaker 1: the philosophy guy. So it's I like, we got to

43
00:02:11,680 --> 00:02:13,840
Speaker 1: switch it up with where people's heads. Yeah, I'm the

44
00:02:13,919 --> 00:02:18,359
Speaker 1: I'm the I'm the I'm the nerd. I'm I mean

45
00:02:18,400 --> 00:02:21,120
Speaker 1: that's the yesterday. You're like, yo, I could sequence your DNA,

46
00:02:22,000 --> 00:02:24,000
Speaker 1: like if you really want me to. I mean I

47
00:02:24,040 --> 00:02:26,960
Speaker 1: just feel like, don't, don't do give it to the companies. No,

48
00:02:27,080 --> 00:02:29,720
Speaker 1: do this shit yourself. You just need to do. Andrew, Andrew,

49
00:02:29,800 --> 00:02:32,040
Speaker 1: I will, I will go in on with like a

50
00:02:32,040 --> 00:02:35,919
Speaker 1: PCR machine with you, just to start sequencing all these

51
00:02:35,960 --> 00:02:38,200
Speaker 1: people we know in l A's DNA. It's like as

52
00:02:38,240 --> 00:02:40,560
Speaker 1: like a weird Twitter thing. How about this if the

53
00:02:40,639 --> 00:02:45,880
Speaker 1: writer strike goes more than a month or yeah, because

54
00:02:45,960 --> 00:02:48,600
Speaker 1: at that time, every like piece of work I could

55
00:02:48,600 --> 00:02:51,320
Speaker 1: pretend to have done, will hawrdy be done and are like, well, right,

56
00:02:51,760 --> 00:02:54,280
Speaker 1: I guess we're doing boot like DNA labs. There it is.

57
00:02:54,320 --> 00:02:56,840
Speaker 1: And then in the process you're gonna have a wonderful

58
00:02:56,880 --> 00:02:59,880
Speaker 1: idea and gonna be yeah, feel it's gonna be a

59
00:03:00,160 --> 00:03:03,959
Speaker 1: two dudes sequencing DNA for Undercut twenty three and me.

60
00:03:04,720 --> 00:03:06,960
Speaker 1: But then they find a dude with like again like

61
00:03:07,360 --> 00:03:11,160
Speaker 1: Laura's boyfriend yesterday who had the unsequenceable DNA, and then

62
00:03:11,200 --> 00:03:13,919
Speaker 1: we get obsessed with this guy and it's a look

63
00:03:13,960 --> 00:03:15,560
Speaker 1: I can already see it. And also then but we

64
00:03:15,600 --> 00:03:17,799
Speaker 1: also have to witness a murder and then be on

65
00:03:17,919 --> 00:03:20,119
Speaker 1: the run for it to be a good comedy. Yeah,

66
00:03:20,120 --> 00:03:23,040
Speaker 1: you always gotta sequencing DNA out of the back of

67
00:03:23,200 --> 00:03:26,239
Speaker 1: out of the trunk of your car. Yeah, succe, that's

68
00:03:26,240 --> 00:03:28,680
Speaker 1: our play. This is gonna work well. Now I like

69
00:03:28,800 --> 00:03:30,880
Speaker 1: this speaking of the trunk of the car, which we

70
00:03:30,880 --> 00:03:33,680
Speaker 1: don't fucking need because we're looking at a fucking wheel

71
00:03:33,800 --> 00:03:37,800
Speaker 1: based nation, and I mean two wheels. We're talking bicycling. Okay.

72
00:03:38,000 --> 00:03:42,119
Speaker 1: Our guest today is a writer, TV producer, comm's professional

73
00:03:42,360 --> 00:03:45,520
Speaker 1: and the co host of the War on Cars podcast.

74
00:03:45,640 --> 00:03:50,280
Speaker 1: Please welcome to the microphone, Doug Garden. Thanks for having me.

75
00:03:50,320 --> 00:03:52,960
Speaker 1: I'm amazed at that segue that you went from sequencing

76
00:03:53,040 --> 00:03:55,720
Speaker 1: DNA to the back of a car to my podcast.

77
00:03:55,720 --> 00:03:59,480
Speaker 1: So thanks nice. We're nimble, We're nimble blood here, you

78
00:03:59,520 --> 00:04:01,560
Speaker 1: know what I mean. You need one guy who studied

79
00:04:01,640 --> 00:04:04,240
Speaker 1: history and one guy who is a neuroscience person and

80
00:04:04,320 --> 00:04:06,560
Speaker 1: you have a podcast. There you go, Doug Man, welcome

81
00:04:06,600 --> 00:04:08,280
Speaker 1: to the show. It's good to have you. Yeah, it's

82
00:04:08,320 --> 00:04:10,680
Speaker 1: great to be here, super excited. Are you coming to

83
00:04:10,760 --> 00:04:14,000
Speaker 1: us from New York? Oh? I'm coming from yeah, Brooklyn,

84
00:04:14,040 --> 00:04:17,240
Speaker 1: New York. So because of course, yeah, yeah, yeah, I'm

85
00:04:17,240 --> 00:04:19,600
Speaker 1: from Yeah, Okay? And are you? And you're from You're

86
00:04:19,640 --> 00:04:22,400
Speaker 1: from New York originally originally originally, but I grew up

87
00:04:22,440 --> 00:04:25,119
Speaker 1: north of Boston. So I've been in New York now

88
00:04:25,200 --> 00:04:28,760
Speaker 1: for twenty six years, so otter than half of my life.

89
00:04:28,800 --> 00:04:30,840
Speaker 1: But I guess that makes me a new Bee by

90
00:04:30,880 --> 00:04:33,599
Speaker 1: some standards. So I guess what do you? What do

91
00:04:33,640 --> 00:04:36,440
Speaker 1: you think are people? I mean, Andrew, you're you're transplant

92
00:04:36,440 --> 00:04:38,480
Speaker 1: to LA. At what point do you how many years

93
00:04:38,480 --> 00:04:41,599
Speaker 1: in LA do you have to say like you're from LA?

94
00:04:42,160 --> 00:04:43,919
Speaker 1: You know what I mean? Oh, I don't even know

95
00:04:43,920 --> 00:04:46,919
Speaker 1: about that. I say, you're from Michigan. Where you from Michigan?

96
00:04:47,080 --> 00:04:48,880
Speaker 1: I'm from Michigan. I remember wind that a little bit

97
00:04:48,920 --> 00:04:51,720
Speaker 1: and say I kept on thinking of myself as new

98
00:04:51,760 --> 00:04:55,960
Speaker 1: in town for one decade in La. Okay, I would

99
00:04:55,960 --> 00:04:57,560
Speaker 1: just I'd be like I'm new I don't know where

100
00:04:57,560 --> 00:04:59,680
Speaker 1: anything is. Yeah, yeah, but you're like you just put

101
00:04:59,680 --> 00:05:02,200
Speaker 1: me on like all these restaurants we'll be talking about.

102
00:05:02,760 --> 00:05:04,640
Speaker 1: I always think that, like you're a New Yorker when

103
00:05:04,640 --> 00:05:06,479
Speaker 1: you walk by a store and you're like, oh that

104
00:05:06,520 --> 00:05:08,719
Speaker 1: pizza joint, Yeah, that used to be a cell phone store.

105
00:05:08,760 --> 00:05:11,080
Speaker 1: And as soon as you know that, you're like, you

106
00:05:11,200 --> 00:05:13,359
Speaker 1: live here, you're a native, right, Like yeah, can you

107
00:05:13,400 --> 00:05:15,919
Speaker 1: look at a storefront and go like three businesses ago

108
00:05:16,040 --> 00:05:18,240
Speaker 1: and you're like, oh shit, the neighborhood just totally sucks

109
00:05:18,279 --> 00:05:22,320
Speaker 1: now that they change that, Yeah, amazing, amazing. And you

110
00:05:22,360 --> 00:05:25,040
Speaker 1: know the are you like, are you all on cycles?

111
00:05:25,040 --> 00:05:27,000
Speaker 1: You're all about the bicycle. I'm guessing you want to

112
00:05:27,320 --> 00:05:30,720
Speaker 1: see them all about the bicycle, walking public transit, taking

113
00:05:30,760 --> 00:05:32,760
Speaker 1: the subway. I'm a New Yorker, so I'm most the

114
00:05:32,800 --> 00:05:35,120
Speaker 1: subway at the bush. But yeah, cycling is a big

115
00:05:35,160 --> 00:05:36,680
Speaker 1: part of It's how I got my start sort of

116
00:05:36,680 --> 00:05:38,680
Speaker 1: in advocacy and doing this work that we do with

117
00:05:38,680 --> 00:05:41,400
Speaker 1: a podcast. Yeah yeah, yeah, I mean I think cycle

118
00:05:41,680 --> 00:05:44,160
Speaker 1: like I feel like, especially in the pandemic, there was

119
00:05:44,200 --> 00:05:46,920
Speaker 1: a moment right where you could tell some cities or

120
00:05:47,000 --> 00:05:49,720
Speaker 1: like fully being like man, fuck these cars like use

121
00:05:49,800 --> 00:05:52,960
Speaker 1: these streets to do like bipedal shit, you know what

122
00:05:53,040 --> 00:05:54,360
Speaker 1: I mean, Like we don't need to do all this

123
00:05:54,440 --> 00:05:56,919
Speaker 1: other stuff. And I felt like I felt like it

124
00:05:56,960 --> 00:05:58,840
Speaker 1: was such a good trend. I was becoming hopeful. It's

125
00:05:58,839 --> 00:06:02,520
Speaker 1: like maybe LA could have a little more bike infrastructure

126
00:06:02,600 --> 00:06:06,000
Speaker 1: rather than like three miles of it just spread out

127
00:06:06,000 --> 00:06:08,960
Speaker 1: through the city like fragmented into half mile segments. Yeah,

128
00:06:08,960 --> 00:06:11,679
Speaker 1: there's definitely some cities that lost a little momentum after

129
00:06:12,000 --> 00:06:15,000
Speaker 1: you know, things started to reopen and cars started coming

130
00:06:15,040 --> 00:06:17,520
Speaker 1: back and forth, including New York. Our traffic is worse

131
00:06:17,560 --> 00:06:20,240
Speaker 1: than ever. But you know LA has a sequevia, right,

132
00:06:20,240 --> 00:06:22,080
Speaker 1: they do that. Yeah, they shut down like miles and

133
00:06:22,120 --> 00:06:24,320
Speaker 1: miles of streets all the time, much more than New

134
00:06:24,400 --> 00:06:28,120
Speaker 1: York does. Actually, So there's there's reasons for hope. Yeah,

135
00:06:28,120 --> 00:06:29,880
Speaker 1: but I guess that's a like I guess in my

136
00:06:30,000 --> 00:06:32,560
Speaker 1: mind it's like I would love the kind of infrastructure

137
00:06:32,600 --> 00:06:34,080
Speaker 1: that like you have in certain parts of the Bay

138
00:06:34,080 --> 00:06:36,080
Speaker 1: Area too. Are they were heavy on They're like, yo, bro,

139
00:06:36,160 --> 00:06:38,360
Speaker 1: half of this street is for bikes. You know. I

140
00:06:38,520 --> 00:06:40,320
Speaker 1: love that kind of thing. I want to see aggressive

141
00:06:40,320 --> 00:06:42,599
Speaker 1: action from LA, but I know that will not happen

142
00:06:42,680 --> 00:06:45,000
Speaker 1: because the wealthy control all the business here and they

143
00:06:45,040 --> 00:06:47,479
Speaker 1: like cars. So yeah, people like their parking, that's the

144
00:06:47,520 --> 00:06:50,200
Speaker 1: big thing. I like they're parking. I was one of

145
00:06:50,200 --> 00:06:52,039
Speaker 1: those freaks when I lived in New York who I

146
00:06:52,120 --> 00:06:54,880
Speaker 1: didn't buy a metro card for a calendar year. I

147
00:06:55,320 --> 00:06:58,880
Speaker 1: was like biking literally every day. I think I didn't

148
00:06:58,880 --> 00:07:00,919
Speaker 1: like a ticket or something. Oh no, no, no, I

149
00:07:01,000 --> 00:07:03,520
Speaker 1: literally I biked for a calendar year just to see

150
00:07:03,520 --> 00:07:05,039
Speaker 1: if I could do it. And I think I did

151
00:07:05,080 --> 00:07:08,000
Speaker 1: the math and in the amount of like and this

152
00:07:08,080 --> 00:07:10,400
Speaker 1: is a me problem, not a bike trip problem. Everyone

153
00:07:10,400 --> 00:07:13,600
Speaker 1: should bike. I think I spent more on like fancy

154
00:07:13,640 --> 00:07:16,600
Speaker 1: gloves that I lost that I would have on metric parts.

155
00:07:17,000 --> 00:07:18,760
Speaker 1: You did it wrong. You need like cheap gloves that

156
00:07:18,760 --> 00:07:20,280
Speaker 1: you get at the dollars store that you can just

157
00:07:20,320 --> 00:07:22,320
Speaker 1: ask like you don't care if you lose them. I

158
00:07:22,320 --> 00:07:24,600
Speaker 1: mean I actually nerded out one year and I bought

159
00:07:24,600 --> 00:07:27,560
Speaker 1: this expensive kid carrying bike. I have two kids, And

160
00:07:28,240 --> 00:07:30,320
Speaker 1: to sort of justify the costs, I kept track of

161
00:07:30,320 --> 00:07:32,280
Speaker 1: how many subway trips I was replacing, how many cab

162
00:07:32,320 --> 00:07:34,320
Speaker 1: trips I was replacing, And I think in the year

163
00:07:34,360 --> 00:07:37,480
Speaker 1: I saved over fifteen hundred bucks, and I was like,

164
00:07:37,520 --> 00:07:39,320
Speaker 1: all right, that's good that this is this is a

165
00:07:39,320 --> 00:07:43,280
Speaker 1: good amount of savings. This justifies the purchase of this bicycle. Also, yeah,

166
00:07:43,320 --> 00:07:45,480
Speaker 1: and I can buy three hundred dollars gloves because that's

167
00:07:45,520 --> 00:07:46,800
Speaker 1: what I helped all right now, I spent all the

168
00:07:46,800 --> 00:07:49,800
Speaker 1: money at glash. I had sick ass gloves. It just

169
00:07:49,880 --> 00:07:53,640
Speaker 1: kept on losing one. What were they, man, Pearl the Zoomis. Yeah,

170
00:07:54,080 --> 00:07:56,440
Speaker 1: like just Pearl Zoomis and then the face mask. I

171
00:07:56,480 --> 00:07:59,800
Speaker 1: got very paranoid about the biking all winter part of it.

172
00:08:00,080 --> 00:08:01,920
Speaker 1: So it's pretty hardcore. Did you make it? You made

173
00:08:01,920 --> 00:08:04,240
Speaker 1: it all year? Huh? Yeah? It was not great. I

174
00:08:04,280 --> 00:08:08,040
Speaker 1: got yeah, but I was also young and not we'll say,

175
00:08:08,120 --> 00:08:13,440
Speaker 1: not following traffic or many safety rules about how you bike.

176
00:08:13,760 --> 00:08:16,360
Speaker 1: So there's a lot all the all the issues for

177
00:08:16,800 --> 00:08:19,760
Speaker 1: me problem not a bike problem, of course, of course.

178
00:08:19,800 --> 00:08:22,320
Speaker 1: It will just say shout out to the sponsors pearl Is,

179
00:08:22,400 --> 00:08:26,480
Speaker 1: ZOOMI bike and gloves. I don't know why I know that.

180
00:08:26,560 --> 00:08:29,520
Speaker 1: I just remember being a kid, and I remember when

181
00:08:29,560 --> 00:08:31,000
Speaker 1: I bought my first like I wanted to get a

182
00:08:31,000 --> 00:08:33,760
Speaker 1: mountain bike and we went to the store. I was like, Dad,

183
00:08:33,800 --> 00:08:35,760
Speaker 1: I want these gloves. What the fuck you need these

184
00:08:35,760 --> 00:08:38,079
Speaker 1: gloves for? It's like that mountain bike and like that.

185
00:08:38,200 --> 00:08:40,280
Speaker 1: And I remember they were Pearl Zoomis and I was like,

186
00:08:40,679 --> 00:08:45,520
Speaker 1: one day the name sticks with you. Yeah, but I've

187
00:08:45,600 --> 00:08:47,880
Speaker 1: got to imagine the Prophet Martin's Higo goes, because they

188
00:08:47,960 --> 00:08:50,280
Speaker 1: really pushed them at the bike stores. I was gonna say,

189
00:08:50,280 --> 00:08:52,400
Speaker 1: I think they probably make more money on the accessories

190
00:08:52,400 --> 00:08:54,320
Speaker 1: from people who keep losing their gloves than they do

191
00:08:54,520 --> 00:08:58,200
Speaker 1: the bikes themselves. Right right, all right, Doug, Well, let's

192
00:08:58,760 --> 00:09:00,800
Speaker 1: get into what we're gonna talk about and then we'll

193
00:09:00,840 --> 00:09:03,120
Speaker 1: get to know you even better. But here's a rundown

194
00:09:03,120 --> 00:09:05,120
Speaker 1: of what we're talking about today. We're gonna come back

195
00:09:05,120 --> 00:09:09,000
Speaker 1: to Representative Tim Burkett's comments about, you know, from Nashville

196
00:09:09,000 --> 00:09:11,360
Speaker 1: after the shooting, when he said, well, we're not gonna

197
00:09:11,400 --> 00:09:13,400
Speaker 1: be able to fix it, and when it was asked

198
00:09:13,440 --> 00:09:16,000
Speaker 1: what the solution was, he said, I don't know. I'm homeschooling.

199
00:09:16,120 --> 00:09:18,280
Speaker 1: That's my daughter's homeschool, so I'm not worried about it.

200
00:09:18,480 --> 00:09:22,360
Speaker 1: So we'll get into that very bad take and how

201
00:09:22,400 --> 00:09:26,040
Speaker 1: the far right loves this terrible bad faith argument to

202
00:09:26,080 --> 00:09:27,720
Speaker 1: be like, yeah, I mean, it's really the only solution

203
00:09:27,760 --> 00:09:29,760
Speaker 1: everything is just to go back to the you know

204
00:09:30,040 --> 00:09:32,400
Speaker 1: in eighteen hundreds and just kind of bang like that.

205
00:09:32,720 --> 00:09:35,320
Speaker 1: So we'll talk about that. Then we'll also talk about

206
00:09:36,679 --> 00:09:41,160
Speaker 1: a very vulnerable school principle at a at a charter school,

207
00:09:41,280 --> 00:09:43,640
Speaker 1: just to kind of go off the heels of like

208
00:09:43,720 --> 00:09:46,640
Speaker 1: let's destroy public education, just to kind of check in

209
00:09:46,679 --> 00:09:48,600
Speaker 1: with the kinds of people that are running some of

210
00:09:48,640 --> 00:09:51,920
Speaker 1: the charter schools. This is from Volusia County, Florida. We'll

211
00:09:51,960 --> 00:09:54,840
Speaker 1: talk about a very sticky situation they got into, and

212
00:09:54,880 --> 00:09:57,360
Speaker 1: then we're gonna talk about AI it's being I read

213
00:09:57,360 --> 00:09:59,040
Speaker 1: an article that it was used in a court in

214
00:09:59,040 --> 00:10:02,160
Speaker 1: India and that it's funny because the timing of that,

215
00:10:02,280 --> 00:10:05,880
Speaker 1: like on Wednesday eleven hundred, like leading experts in AI

216
00:10:06,000 --> 00:10:08,760
Speaker 1: pen this open letter that said you need to figure

217
00:10:08,800 --> 00:10:11,160
Speaker 1: out what's going on before we start going full scheme

218
00:10:11,200 --> 00:10:13,640
Speaker 1: on all these different models that are being developed. So

219
00:10:13,679 --> 00:10:17,280
Speaker 1: we'll talk about that, and then quick Internet debate. We're

220
00:10:17,320 --> 00:10:20,360
Speaker 1: gonna have to settle here since we have some fantastic

221
00:10:20,400 --> 00:10:22,720
Speaker 1: minds on the show, where we will use our collective

222
00:10:22,720 --> 00:10:26,319
Speaker 1: wisdom to settle this TikTok debate. About airplanes. But first,

223
00:10:26,360 --> 00:10:28,960
Speaker 1: before we do any of that, I got to ask you, Doug,

224
00:10:29,000 --> 00:10:31,280
Speaker 1: what is something from your search history that's you know,

225
00:10:31,360 --> 00:10:34,040
Speaker 1: revealing about reveal something about what you're into right now.

226
00:10:34,320 --> 00:10:36,040
Speaker 1: And if you looked at my search history, it would

227
00:10:36,080 --> 00:10:42,320
Speaker 1: basically be things like pain top of foot him, muscle pain.

228
00:10:42,720 --> 00:10:44,720
Speaker 1: I'm a big runner. I run a couple of marathons,

229
00:10:44,760 --> 00:10:47,400
Speaker 1: but I'm also old. Okay, I'm going to be fifteen

230
00:10:47,400 --> 00:10:50,360
Speaker 1: next year, and so any run that I come back

231
00:10:50,400 --> 00:10:55,160
Speaker 1: from usually results in a search of like what was that? Basically, yeah,

232
00:10:55,160 --> 00:10:56,920
Speaker 1: are you Are you one of those runners? Or like

233
00:10:56,960 --> 00:10:58,920
Speaker 1: the first mile and a half you got to just

234
00:10:59,000 --> 00:11:00,840
Speaker 1: blow all the pain out your lugs and then you

235
00:11:00,880 --> 00:11:02,760
Speaker 1: settle in, or you kind of like every time I

236
00:11:02,840 --> 00:11:05,680
Speaker 1: run the first mile is apps it's like my body,

237
00:11:05,760 --> 00:11:07,520
Speaker 1: Like I feel like that scene in Forrest Gump when

238
00:11:07,520 --> 00:11:10,520
Speaker 1: his leg braces are breaking off. That's how I always

239
00:11:10,520 --> 00:11:12,760
Speaker 1: saying first two or three miles of any race that

240
00:11:12,800 --> 00:11:14,640
Speaker 1: I do. Any run that I do is just like

241
00:11:14,679 --> 00:11:16,360
Speaker 1: the warm up, which is a real problem if you're

242
00:11:16,360 --> 00:11:19,200
Speaker 1: doing like a five k because that's basically three miles, right,

243
00:11:19,600 --> 00:11:22,080
Speaker 1: But yeah, that's pretty much me. Okay, got it? And

244
00:11:22,120 --> 00:11:24,000
Speaker 1: then wait, what's it. What's the top of the foot paint?

245
00:11:24,360 --> 00:11:28,720
Speaker 1: Oh man, like you know, yeah, you know your stuff, metatarsal,

246
00:11:29,320 --> 00:11:30,720
Speaker 1: you know, all that kind of stuff, and then bottom

247
00:11:30,720 --> 00:11:33,720
Speaker 1: of the foot planter, fasciatus, all that stuff. You should

248
00:11:33,720 --> 00:11:35,840
Speaker 1: see my appointment heal striking. What's your form? Like you

249
00:11:35,840 --> 00:11:37,760
Speaker 1: heal striking? Can we get heal strike? A little bit

250
00:11:37,800 --> 00:11:40,800
Speaker 1: too much? Yeah? A little bit too much. Yeah. My

251
00:11:40,840 --> 00:11:43,360
Speaker 1: apartment's like a physical therapist office. I've got like the

252
00:11:43,360 --> 00:11:47,679
Speaker 1: phone pads, the thera bands, and like the wobble boards

253
00:11:47,679 --> 00:11:49,440
Speaker 1: and all of that stuff. So I'm constantly trying to

254
00:11:49,480 --> 00:11:51,640
Speaker 1: like figure you know, one thing breaks, you fix it,

255
00:11:51,800 --> 00:11:53,640
Speaker 1: and then the next thing breaks. Like I'm like an

256
00:11:53,679 --> 00:11:57,200
Speaker 1: old car basically. Yeah, yeah, I got some hip flix

257
00:11:57,280 --> 00:11:59,400
Speaker 1: or paint I'm trying to get basically. Yeah, we're sitting

258
00:11:59,400 --> 00:12:03,240
Speaker 1: too much too, that's a big problem. Yeah, exactly exactly. Andrew,

259
00:12:03,240 --> 00:12:05,719
Speaker 1: you have I know you're a physical specimen, so you

260
00:12:05,760 --> 00:12:08,839
Speaker 1: probably Oh no, I actually can't run. I've had two

261
00:12:08,880 --> 00:12:13,080
Speaker 1: knee surgeries. Really yeah, I've had twoknee surgeries. But between

262
00:12:13,160 --> 00:12:14,920
Speaker 1: the one and two, and I'm sure that led to

263
00:12:15,000 --> 00:12:21,360
Speaker 1: number two, I like wouldn't stop kickboxing, so like wasn't

264
00:12:21,400 --> 00:12:24,920
Speaker 1: great problem, Like, man, your patella can't handle anymore of

265
00:12:24,960 --> 00:12:28,480
Speaker 1: these kicks. It really was not. Not idea and wrestling

266
00:12:28,520 --> 00:12:30,440
Speaker 1: too are just like why why do we doing? I

267
00:12:30,480 --> 00:12:34,400
Speaker 1: should be so I'm bad. I'm just like a At

268
00:12:34,480 --> 00:12:36,520
Speaker 1: least earlier in my life, I was like, I'll just

269
00:12:36,559 --> 00:12:41,120
Speaker 1: get new knees. Just run down to the store, ye

270
00:12:41,520 --> 00:12:45,200
Speaker 1: up a spare set of gloves and yeah, by the way,

271
00:12:45,440 --> 00:12:48,160
Speaker 1: not wise advice for anyone listening to this who still

272
00:12:48,200 --> 00:12:51,720
Speaker 1: has good knees. I know, man, I I fucked my

273
00:12:51,760 --> 00:12:54,360
Speaker 1: knee up terribly at a when I when I worked

274
00:12:54,360 --> 00:12:57,160
Speaker 1: at Playboy, there was a staff party at the mansion

275
00:12:57,200 --> 00:12:59,120
Speaker 1: that they would have every year, and there's like a

276
00:12:59,200 --> 00:13:01,400
Speaker 1: hill at the play Boy Man's this is look. I know,

277
00:13:01,400 --> 00:13:03,400
Speaker 1: it's a terrible fucking place to work. Trust me. I

278
00:13:03,480 --> 00:13:05,120
Speaker 1: worked there with Jamie Loftus. We were there at the

279
00:13:05,160 --> 00:13:08,120
Speaker 1: same time. It was kind of a crazy situation. But

280
00:13:08,160 --> 00:13:09,880
Speaker 1: they set up this slip and slide that's on a

281
00:13:10,040 --> 00:13:13,520
Speaker 1: very steep hill and I went down this thing full

282
00:13:13,559 --> 00:13:16,920
Speaker 1: speed and when I hit the fucking like backstop of it,

283
00:13:17,160 --> 00:13:20,480
Speaker 1: almost like full hyper extended my shit because like it

284
00:13:20,559 --> 00:13:22,679
Speaker 1: was so the speed I hit. It was so intense

285
00:13:22,960 --> 00:13:24,920
Speaker 1: and I for a second, like I went to a

286
00:13:24,960 --> 00:13:27,040
Speaker 1: doctor and they're like, you know, you you may need

287
00:13:27,120 --> 00:13:29,000
Speaker 1: surgery because I was playing a lot of soccer at

288
00:13:29,000 --> 00:13:30,679
Speaker 1: the times, Like if you want to do that like

289
00:13:30,760 --> 00:13:32,520
Speaker 1: and kind of recover, And I was like, well, what

290
00:13:32,600 --> 00:13:34,240
Speaker 1: happens if I don't. He's like, you could try and

291
00:13:34,320 --> 00:13:35,880
Speaker 1: let it heal. It's like not so bad that you

292
00:13:35,920 --> 00:13:38,439
Speaker 1: couldn't just like stay off it to see what happens.

293
00:13:38,800 --> 00:13:41,360
Speaker 1: And I opted for staying off it. And I've stayed

294
00:13:41,360 --> 00:13:43,440
Speaker 1: off it for many years now to that point where

295
00:13:43,559 --> 00:13:47,280
Speaker 1: I'm like to get this ship going again. Yeah, Doug,

296
00:13:47,320 --> 00:13:49,240
Speaker 1: what some of you think is overrated? Oh? Man? Can

297
00:13:49,280 --> 00:13:51,800
Speaker 1: I go on to rant here? Is that all right? Yeah? Yeah?

298
00:13:51,840 --> 00:13:54,719
Speaker 1: I say this as a New Yorker. Expensive restaurants in

299
00:13:54,760 --> 00:13:57,480
Speaker 1: New York City totally overrated. So my wife and I

300
00:13:57,559 --> 00:14:00,600
Speaker 1: just got reservations for this place. Everybody's been talking about it.

301
00:14:00,600 --> 00:14:01,840
Speaker 1: It's the kind of place where like you have to

302
00:14:01,840 --> 00:14:03,959
Speaker 1: stay up till two in the morning when they release

303
00:14:04,080 --> 00:14:07,640
Speaker 1: the next set of reservation anthea and book it like

304
00:14:07,840 --> 00:14:09,920
Speaker 1: five or six weeks and you just got to pick

305
00:14:10,080 --> 00:14:12,040
Speaker 1: it doesn't matter what time it is. Three PM on

306
00:14:12,080 --> 00:14:16,360
Speaker 1: a Thursday, like you're going and uh and it was good.

307
00:14:16,480 --> 00:14:18,160
Speaker 1: It definitely it was good. But I think we only

308
00:14:18,200 --> 00:14:20,600
Speaker 1: went because everybody we got caught up in the hype

309
00:14:20,600 --> 00:14:23,960
Speaker 1: everyone's going and uh my. My general philosophy of New

310
00:14:24,040 --> 00:14:26,240
Speaker 1: York is, like whatever that restaurant is, that is the

311
00:14:26,440 --> 00:14:29,920
Speaker 1: place everyone's talking about it. You can absolutely find like

312
00:14:30,000 --> 00:14:32,560
Speaker 1: the hole in the wall version of that place in

313
00:14:32,640 --> 00:14:36,680
Speaker 1: some random neighborhood in Queens or wherever, and go there

314
00:14:36,720 --> 00:14:40,280
Speaker 1: and spend a quarter of the price for three times

315
00:14:40,280 --> 00:14:42,320
Speaker 1: the time that you're going to be there more food,

316
00:14:42,400 --> 00:14:45,040
Speaker 1: and come out just as satisfied, feeling like you had

317
00:14:45,080 --> 00:14:47,440
Speaker 1: a better experience. So I don't want I definitely don't

318
00:14:47,440 --> 00:14:49,080
Speaker 1: want to shoot on this place because it was good.

319
00:14:49,120 --> 00:14:53,120
Speaker 1: And and no, no, no, no no, they're down the

320
00:14:53,360 --> 00:15:00,600
Speaker 1: tet what kind of cuisine that'll give it away? I said,

321
00:15:00,800 --> 00:15:03,800
Speaker 1: I've said too much already. People parts up are coming

322
00:15:03,800 --> 00:15:06,120
Speaker 1: for me. Yeah, I get that. Like LA two, I

323
00:15:06,120 --> 00:15:08,480
Speaker 1: mean like I feel like we're really going through like

324
00:15:08,480 --> 00:15:14,000
Speaker 1: the instagramification of restaurants, where how shit looks on social media,

325
00:15:14,280 --> 00:15:16,440
Speaker 1: like how it looks on a social media post is

326
00:15:16,520 --> 00:15:19,240
Speaker 1: half the battle to like get somebody through the door

327
00:15:19,280 --> 00:15:21,080
Speaker 1: because I fell victim to it. Recently. I saw this

328
00:15:21,160 --> 00:15:23,720
Speaker 1: restaurant and I said, Yo, this place is look fucking lit.

329
00:15:24,360 --> 00:15:29,120
Speaker 1: I go in there, and the food was mediocre at best,

330
00:15:29,280 --> 00:15:31,240
Speaker 1: Like it looked good in pictures, but I'm like this,

331
00:15:31,440 --> 00:15:34,480
Speaker 1: y'all are not fucking bringing it for a fucking nine

332
00:15:34,520 --> 00:15:38,320
Speaker 1: dollars taco, sir. This is not this is not the place.

333
00:15:38,680 --> 00:15:40,480
Speaker 1: And it was like, Yeah, I had a real like

334
00:15:40,920 --> 00:15:42,440
Speaker 1: I kind of came out of it being like I

335
00:15:42,520 --> 00:15:46,080
Speaker 1: really got like seduced by the imagery of the restaurant,

336
00:15:46,480 --> 00:15:48,720
Speaker 1: and but when I got there, the food is like

337
00:15:48,960 --> 00:15:51,960
Speaker 1: not even close to how nice the ambiance was. I

338
00:15:52,000 --> 00:15:55,720
Speaker 1: feel like LA is so clearly that like I've lived,

339
00:15:56,160 --> 00:15:58,280
Speaker 1: you know, about ten years in New York, La, I've

340
00:15:58,440 --> 00:16:02,080
Speaker 1: I never at any point thought the fancy place was good.

341
00:16:02,200 --> 00:16:04,560
Speaker 1: Like I I've always been like, LA is the best

342
00:16:04,600 --> 00:16:07,840
Speaker 1: place to eat if you're spending less than I don't know,

343
00:16:07,880 --> 00:16:10,200
Speaker 1: with inflation twenty five dollars a person I used to

344
00:16:11,120 --> 00:16:13,400
Speaker 1: a person, Yeah, it's better to go to Strip Maller

345
00:16:13,440 --> 00:16:18,040
Speaker 1: gets something from outside kind of categorically in LA, like

346
00:16:18,080 --> 00:16:20,680
Speaker 1: the hind dining here is real bad. Yeah, because the

347
00:16:20,680 --> 00:16:23,840
Speaker 1: best sushi restaurants are not the ones that Nozawa is

348
00:16:23,880 --> 00:16:27,280
Speaker 1: working with. Like, yeah, like Nozawa had his time. Nozawa

349
00:16:27,320 --> 00:16:29,640
Speaker 1: had some in the eighties and early nineties. I get it,

350
00:16:29,720 --> 00:16:31,440
Speaker 1: and then he off the strength of that he launched

351
00:16:31,440 --> 00:16:33,920
Speaker 1: Sugarfish and all the other shit. But like, it's not

352
00:16:34,120 --> 00:16:37,280
Speaker 1: it's to me, my mom, we talked shit about Sugarfish

353
00:16:37,320 --> 00:16:39,520
Speaker 1: low key. We're like the rice is too loose. They're

354
00:16:39,560 --> 00:16:42,400
Speaker 1: fucking yea, they're sucking us around over here, and you

355
00:16:42,560 --> 00:16:44,560
Speaker 1: and there are great hole in the wall places for sushi.

356
00:16:44,560 --> 00:16:46,360
Speaker 1: You're like, man, this is actually the best fucking place

357
00:16:46,400 --> 00:16:49,760
Speaker 1: out there. So I definitely agree with both of y'all. Yeah. Yeah.

358
00:16:49,760 --> 00:16:51,360
Speaker 1: In New York, it's like if it's down a flight

359
00:16:51,440 --> 00:16:55,240
Speaker 1: of stairs, like that's a good that's a good sign

360
00:16:55,240 --> 00:16:57,400
Speaker 1: that it's realy pretty good. Yeah, I means the prices

361
00:16:57,400 --> 00:17:00,360
Speaker 1: are lower as well if you just send ye really

362
00:17:00,440 --> 00:17:04,520
Speaker 1: is my favorite La grift is the Asian people just

363
00:17:04,640 --> 00:17:08,480
Speaker 1: charging like a yeah I had mark up for I mean, look,

364
00:17:08,800 --> 00:17:11,720
Speaker 1: I'll power to him. But every part of David chag

365
00:17:11,960 --> 00:17:15,240
Speaker 1: is just like he knows his audience who people don't

366
00:17:15,280 --> 00:17:17,720
Speaker 1: know where to get in other even like the overpriced tacos.

367
00:17:17,800 --> 00:17:19,960
Speaker 1: I'm like, getting where you fit in because people are

368
00:17:19,960 --> 00:17:21,640
Speaker 1: gonna you know, people will know, they're like, I ain't

369
00:17:21,640 --> 00:17:23,760
Speaker 1: paying for that, and other people will gladly hand over

370
00:17:23,800 --> 00:17:27,399
Speaker 1: twelve dollars from guacamole. Yeah, and I'm like, you have

371
00:17:27,640 --> 00:17:31,479
Speaker 1: played yourself completely, but yeah, shout out to shout out

372
00:17:31,520 --> 00:17:34,800
Speaker 1: to everybody finding the real spots out there. Doug what

373
00:17:34,960 --> 00:17:37,200
Speaker 1: something thing is underrated? Well, this one I got to

374
00:17:37,240 --> 00:17:40,760
Speaker 1: be pretty on brand. And I gotta say bicycles completely underrated,

375
00:17:40,920 --> 00:17:43,760
Speaker 1: like as maybe one of the greatest inventions in the

376
00:17:43,800 --> 00:17:46,960
Speaker 1: history of humanity. And I'm not I'm not exaggerating. You know,

377
00:17:47,000 --> 00:17:49,399
Speaker 1: if you think about I'm gonna get a little wonky here,

378
00:17:49,400 --> 00:17:52,119
Speaker 1: I guess please if you think about three things that

379
00:17:52,160 --> 00:17:56,720
Speaker 1: came out at around the same time, the telephone, the bicycle,

380
00:17:56,800 --> 00:18:01,199
Speaker 1: and the typewriter. The telephone now just this little computer

381
00:18:01,280 --> 00:18:04,160
Speaker 1: that's sits in your pocket. The typewriter is now pretty

382
00:18:04,240 --> 00:18:06,760
Speaker 1: much that little computer that sits in your pocket. But

383
00:18:06,800 --> 00:18:09,919
Speaker 1: the but the bicycle is pretty much unchanged in like

384
00:18:09,920 --> 00:18:13,400
Speaker 1: one hundred and fifty years. And uh, it's it's an amazing,

385
00:18:13,480 --> 00:18:15,720
Speaker 1: remarkable machine. It's kind of amazing that all of these

386
00:18:15,720 --> 00:18:18,600
Speaker 1: cities like you were saying, are re embracing it. And

387
00:18:18,840 --> 00:18:21,959
Speaker 1: I think for me, like the most underrated virtue of

388
00:18:22,000 --> 00:18:25,760
Speaker 1: this underrated machine is uh, you know everyone talks about

389
00:18:25,760 --> 00:18:27,880
Speaker 1: you get fit, you save money, all the stuff. You're

390
00:18:27,880 --> 00:18:30,160
Speaker 1: always on time, you know, like when you ride a bike,

391
00:18:30,840 --> 00:18:32,920
Speaker 1: you beat you beat traffic. You don't have to worry

392
00:18:32,920 --> 00:18:34,960
Speaker 1: about like if is the bus stuck in traffic? Or

393
00:18:35,040 --> 00:18:36,760
Speaker 1: do I have to find a parking space. It's like,

394
00:18:36,880 --> 00:18:39,920
Speaker 1: um that quote from from Gandalf, like a wizard is

395
00:18:40,000 --> 00:18:42,640
Speaker 1: never early or late. He arrives exactly what he means too.

396
00:18:42,680 --> 00:18:45,919
Speaker 1: I feel like bicycling has that magic power. You're you're

397
00:18:45,960 --> 00:18:47,840
Speaker 1: always on time. When I when I bike to work,

398
00:18:47,880 --> 00:18:50,159
Speaker 1: I was like always at my desk at exactly the

399
00:18:50,200 --> 00:18:53,000
Speaker 1: same time every day, right right. I mean that's not

400
00:18:53,040 --> 00:18:55,399
Speaker 1: necessarily a point of pride for me. I pride myself

401
00:18:55,440 --> 00:18:57,280
Speaker 1: on being late as fuck all the time to my

402
00:18:57,400 --> 00:18:59,840
Speaker 1: jobs and then trying to provoke my manager to say so,

403
00:19:01,320 --> 00:19:05,560
Speaker 1: but he won't, but he won't. But yeah, the bike too,

404
00:19:05,640 --> 00:19:07,679
Speaker 1: right in the sense of like what other machine do

405
00:19:07,720 --> 00:19:10,399
Speaker 1: you have that can convert human energy, like in the

406
00:19:10,480 --> 00:19:13,720
Speaker 1: way that a bicycle can so efficiently to travel it's

407
00:19:13,720 --> 00:19:16,280
Speaker 1: like the most energy efficient machine you can think of.

408
00:19:16,400 --> 00:19:20,720
Speaker 1: Pretty much. Actually, yeah, every apocalypse movie ed show is

409
00:19:20,760 --> 00:19:24,600
Speaker 1: wrong because yes, real apocalypse, everyone would have a mouth bike.

410
00:19:24,920 --> 00:19:27,280
Speaker 1: That would be by far the most important thing. Oh.

411
00:19:27,359 --> 00:19:29,560
Speaker 1: I mean, I know this is not a very long podcast,

412
00:19:29,560 --> 00:19:32,120
Speaker 1: but I could go on for hours about just this topic.

413
00:19:32,160 --> 00:19:34,960
Speaker 1: Like I just watched The Last of Us, which is incredible,

414
00:19:34,960 --> 00:19:37,000
Speaker 1: it's an amazing thing. But there's a scene I'm not

415
00:19:37,000 --> 00:19:40,879
Speaker 1: spoiling anything where they're siphoning gas but it's twenty years

416
00:19:40,960 --> 00:19:44,679
Speaker 1: after that. Yeah, that get downfall of society, like and

417
00:19:44,760 --> 00:19:46,760
Speaker 1: they sort of make a nod too and say like, yeah,

418
00:19:46,760 --> 00:19:48,240
Speaker 1: you gotta get more of it to make it work.

419
00:19:48,280 --> 00:19:50,360
Speaker 1: But like, no, it would just be sludge in your

420
00:19:50,359 --> 00:19:52,159
Speaker 1: glass tank. It wouldn't work. And there are yeah, there

421
00:19:52,160 --> 00:19:55,880
Speaker 1: are no bicycles in most apocalyptic films, but like, if

422
00:19:55,880 --> 00:19:58,119
Speaker 1: you want, if you want to avoid zombies, bikes are great,

423
00:19:58,359 --> 00:20:01,760
Speaker 1: great teeth thing. They're quiet, you know, you can fix

424
00:20:01,760 --> 00:20:04,080
Speaker 1: some of yourself. A kid can ride it. Yeah, can

425
00:20:04,200 --> 00:20:06,440
Speaker 1: roll up on your enemies on a bike. Yeah, they're

426
00:20:06,440 --> 00:20:08,760
Speaker 1: super silent. Yeah, exactly, they don't know, they don't know.

427
00:20:08,800 --> 00:20:11,119
Speaker 1: On this take to take the baseball cards off the

428
00:20:11,200 --> 00:20:14,080
Speaker 1: spokes then yeah, you're stealth. I mean, honestly, a real

429
00:20:14,119 --> 00:20:16,640
Speaker 1: future society is like everyone's kind of like a night

430
00:20:16,800 --> 00:20:20,240
Speaker 1: but they're on a mountain bike. Yeah yeah, so baseball

431
00:20:20,240 --> 00:20:23,600
Speaker 1: bats and bikes and yo, I believe it, man. I

432
00:20:23,600 --> 00:20:25,960
Speaker 1: mean and like, I feel like that we've hit the

433
00:20:26,000 --> 00:20:28,159
Speaker 1: peak of what a bicycle does with electric bikes now

434
00:20:28,200 --> 00:20:29,760
Speaker 1: where it's like, yeah, now there's a little motor to

435
00:20:29,760 --> 00:20:33,159
Speaker 1: assist you, but we're still pedaling and shit. But you know,

436
00:20:33,280 --> 00:20:35,800
Speaker 1: the song remains the same on how to use it. Yeah, yeah,

437
00:20:35,840 --> 00:20:37,880
Speaker 1: and all the complaints that you get about, oh I'd

438
00:20:37,920 --> 00:20:39,840
Speaker 1: be too hot if I'm riding bike, it's too far,

439
00:20:39,880 --> 00:20:42,840
Speaker 1: it's too hilly, like e bikes change that. Yeah, that's right.

440
00:20:42,960 --> 00:20:44,600
Speaker 1: I live in a hilly like kind of on a

441
00:20:44,760 --> 00:20:48,000
Speaker 1: I live like everything is downhill for me. So it's

442
00:20:48,040 --> 00:20:51,119
Speaker 1: fun to get to ship like I'm like way, and

443
00:20:51,200 --> 00:20:53,120
Speaker 1: then when I'm like fuck, i gotta go back, that's

444
00:20:53,119 --> 00:20:55,600
Speaker 1: when i kick that pedal assist on and I'm just

445
00:20:55,640 --> 00:20:59,000
Speaker 1: like blowing yo, I blow by. Like there's like this

446
00:20:59,080 --> 00:21:02,040
Speaker 1: group of like land Armstrong midlife prices dudes who like

447
00:21:02,240 --> 00:21:04,879
Speaker 1: they going like a fucking full peloton like you know

448
00:21:04,920 --> 00:21:07,040
Speaker 1: what I mean, like up like on the streets and

449
00:21:07,119 --> 00:21:12,560
Speaker 1: I I fucking smoked these these fucking guys and they

450
00:21:12,560 --> 00:21:15,320
Speaker 1: were like they were doing like they're like, okay, it's

451
00:21:15,320 --> 00:21:19,280
Speaker 1: so wild the fuckings. There's like anger with like non

452
00:21:19,359 --> 00:21:21,560
Speaker 1: e bite people, to e bite people. I'm like, yo, bro,

453
00:21:21,760 --> 00:21:25,159
Speaker 1: save your energy for your fucking uphill riding to reclaim

454
00:21:25,200 --> 00:21:28,240
Speaker 1: your masculinity and your tight outfit. They'll accuse you, they'll

455
00:21:28,240 --> 00:21:30,280
Speaker 1: accuse you of cheating, but you're like, dude, you you're

456
00:21:30,320 --> 00:21:32,119
Speaker 1: your bike has gears. You're like, you're not on a

457
00:21:32,160 --> 00:21:37,280
Speaker 1: tenny farthing, yeah, riding around on out of my way

458
00:21:37,520 --> 00:21:40,760
Speaker 1: miscreants like oh shit, yeah exactly. And that's why I'm like,

459
00:21:40,760 --> 00:21:43,400
Speaker 1: it's not a competition. You're doing this for exercise. I'm

460
00:21:43,400 --> 00:21:46,000
Speaker 1: going to fucking buy black and like, you know, fucking

461
00:21:46,040 --> 00:21:48,600
Speaker 1: blunts and shit or whatever at the store. Like fuck.

462
00:21:49,480 --> 00:21:51,600
Speaker 1: I had been to New York Is so long and

463
00:21:51,640 --> 00:21:55,040
Speaker 1: I went last year and I was on a city

464
00:21:55,080 --> 00:21:57,240
Speaker 1: bike and I was trying to keep pace with this

465
00:21:57,280 --> 00:21:59,560
Speaker 1: person who I was like, I feel like I should

466
00:21:59,640 --> 00:22:01,280
Speaker 1: be beat even that mother bike. And I did not

467
00:22:01,359 --> 00:22:04,160
Speaker 1: realize until they smoked me right around actually right around

468
00:22:04,240 --> 00:22:06,159
Speaker 1: Park slope that I was like, Oh, they've been on

469
00:22:06,200 --> 00:22:08,280
Speaker 1: any bike this whole time. It was when they stopped

470
00:22:08,320 --> 00:22:11,520
Speaker 1: peddling and kept accelerating for like two blocks. I was like, Okay,

471
00:22:11,960 --> 00:22:16,159
Speaker 1: thank god invisible sale technology either. I was just like

472
00:22:18,640 --> 00:22:21,000
Speaker 1: I can't I can't lose. I love what that does

473
00:22:21,040 --> 00:22:23,080
Speaker 1: to people though, for real, Like you're like, I shouldn't

474
00:22:23,080 --> 00:22:26,600
Speaker 1: be beaten by this full like with the tattered sweatpants

475
00:22:26,800 --> 00:22:29,119
Speaker 1: and like a half a sandal on. But yeah, guess

476
00:22:29,119 --> 00:22:32,399
Speaker 1: what you did. All right, let's take a quick break

477
00:22:32,400 --> 00:22:34,840
Speaker 1: and we'll come right back to talk about our home

478
00:22:34,880 --> 00:22:49,320
Speaker 1: schooling future right after this. And we're back, and just

479
00:22:49,480 --> 00:22:52,399
Speaker 1: wanted to continue on something that Andrew brought up yesterday

480
00:22:52,440 --> 00:22:55,440
Speaker 1: when we were talking about Representative Tim Burkett or Burchett

481
00:22:55,800 --> 00:22:59,000
Speaker 1: from Tennessee, who was asked to a very direct question about,

482
00:22:59,040 --> 00:23:01,720
Speaker 1: you know, school shootings and what Congress is rolling it,

483
00:23:01,720 --> 00:23:03,040
Speaker 1: which he said, I don't really think we have a

484
00:23:03,160 --> 00:23:05,840
Speaker 1: role at all. And then more importantly, when you know,

485
00:23:06,119 --> 00:23:08,600
Speaker 1: this journalist is like, well, you're clearly acknowledging the danger.

486
00:23:08,960 --> 00:23:11,399
Speaker 1: How do you think we protect people like your daughter

487
00:23:11,440 --> 00:23:14,080
Speaker 1: you just mentioned? And this was his answer, What should

488
00:23:14,119 --> 00:23:17,360
Speaker 1: be done to protect people like your little girlfriend being

489
00:23:17,359 --> 00:23:22,240
Speaker 1: safety school. Well, we home schoiler. You know, that's our decision.

490
00:23:22,280 --> 00:23:24,600
Speaker 1: Some people don't have that option. And frankly, some people

491
00:23:24,600 --> 00:23:25,840
Speaker 1: don't need to do it. I mean they don't have

492
00:23:25,880 --> 00:23:30,280
Speaker 1: to do it just suited our nates much better. So

493
00:23:30,359 --> 00:23:33,800
Speaker 1: this has brought on a lot of conversation around homeschooling

494
00:23:33,880 --> 00:23:37,680
Speaker 1: because this is like this it's becoming a very It's like,

495
00:23:38,040 --> 00:23:41,360
Speaker 1: this is like the new response from the GOP rather

496
00:23:41,400 --> 00:23:43,320
Speaker 1: than gun control. It was either like it's a mental

497
00:23:43,400 --> 00:23:46,040
Speaker 1: health crisis, but we're not going to fund it, or

498
00:23:46,359 --> 00:23:49,240
Speaker 1: it's yeah, maybe that's why you shouldn't be in fucking schools.

499
00:23:49,560 --> 00:23:51,520
Speaker 1: And a lot of people, like I said, we're like

500
00:23:51,640 --> 00:23:54,440
Speaker 1: to your point, Andrew, You're like, this is this is

501
00:23:54,520 --> 00:23:56,720
Speaker 1: this is all like that was the perfect answer for

502
00:23:56,760 --> 00:24:00,719
Speaker 1: the GOP because A, you're being like, I'm offering terrible

503
00:24:00,800 --> 00:24:04,320
Speaker 1: solution that's actually privatization. Yea. And yeah, I think a

504
00:24:04,320 --> 00:24:06,119
Speaker 1: lot of people were just sort of like, this is

505
00:24:06,200 --> 00:24:09,320
Speaker 1: just an absolute absurdity because when you're talking about school

506
00:24:09,359 --> 00:24:12,960
Speaker 1: shooting and the and the answers to protect them with homeschooling,

507
00:24:13,240 --> 00:24:15,840
Speaker 1: that's again, like he said, not a possibility for everyone.

508
00:24:15,880 --> 00:24:20,240
Speaker 1: And also not a fucking solution to the problem. It's

509
00:24:20,280 --> 00:24:22,280
Speaker 1: bad for something. It is like a little look, I

510
00:24:22,359 --> 00:24:25,000
Speaker 1: know that when they're like, don't politicize with school shooting,

511
00:24:25,200 --> 00:24:29,359
Speaker 1: it's like just a talking point and it's bullshit. But

512
00:24:29,480 --> 00:24:33,399
Speaker 1: it is a little like amazing how effortlessly he pivoted

513
00:24:33,440 --> 00:24:37,400
Speaker 1: from this tragedy to just a different talking point. Yeah,

514
00:24:37,440 --> 00:24:40,800
Speaker 1: that's like politicizing it in a admittedly unique but perfect

515
00:24:40,800 --> 00:24:44,640
Speaker 1: for these scumbags way. It's like, you know, yeah, I

516
00:24:44,640 --> 00:24:47,480
Speaker 1: guess he stayed on message. Yeah, Like, okay, so after

517
00:24:47,520 --> 00:24:51,600
Speaker 1: you've all day last year, multiple conservative and right wing,

518
00:24:51,680 --> 00:24:54,919
Speaker 1: like far right publications we're putting out a beds that

519
00:24:54,960 --> 00:24:59,000
Speaker 1: were like, man like, they're extolling the virtues of homeschooling.

520
00:24:59,040 --> 00:25:02,440
Speaker 1: They're like, this is the real practical fix for school shootings.

521
00:25:02,600 --> 00:25:06,080
Speaker 1: One headline was homeschooling surges as parents seek escape from

522
00:25:06,160 --> 00:25:10,240
Speaker 1: shootings violence. Another one said tragedies like the Texas shooting

523
00:25:10,240 --> 00:25:13,480
Speaker 1: make a somber case for homeschooling, and in that it says,

524
00:25:13,720 --> 00:25:15,760
Speaker 1: you know, it sort of starts off seeing tragedies like

525
00:25:15,760 --> 00:25:17,879
Speaker 1: the shooting in Texas are heartbreaking but far too common.

526
00:25:18,080 --> 00:25:21,080
Speaker 1: But to protect the most precious innocent lives among us.

527
00:25:21,280 --> 00:25:25,000
Speaker 1: Parents must educate their kids at home. Now, a lot

528
00:25:25,040 --> 00:25:28,200
Speaker 1: of parents in you all day did opt to homeschool

529
00:25:28,240 --> 00:25:31,880
Speaker 1: their kids, which I understand because that was a total

530
00:25:32,119 --> 00:25:34,879
Speaker 1: collapse and failure of any system of safety that you know,

531
00:25:34,920 --> 00:25:37,440
Speaker 1: you could have hoped for. But this is just such

532
00:25:37,480 --> 00:25:40,840
Speaker 1: a bad faith argument. And it's really not even talking

533
00:25:40,920 --> 00:25:43,480
Speaker 1: about like the benefits of homeschooling so much as to

534
00:25:43,520 --> 00:25:47,040
Speaker 1: your point, it's about weakening public education. Well, they just

535
00:25:47,080 --> 00:25:49,240
Speaker 1: want to basically give all the money that they're spending

536
00:25:49,240 --> 00:25:52,840
Speaker 1: on public education to these homeschoolers. Right, Like, you know,

537
00:25:52,840 --> 00:25:54,960
Speaker 1: if you want to homeschool your kid, fine, like that's

538
00:25:54,960 --> 00:25:57,000
Speaker 1: your choice, you can do it, but you shouldn't necessarily

539
00:25:57,040 --> 00:25:59,960
Speaker 1: get public money, taxpayer dollars to go do that, because

540
00:26:00,119 --> 00:26:02,399
Speaker 1: it takes taxpayer dollars out of the school system and

541
00:26:02,440 --> 00:26:04,879
Speaker 1: makes our schools worse. And this is just they're, like

542
00:26:04,920 --> 00:26:07,960
Speaker 1: you said, they're politicizing this thing to just advance the

543
00:26:08,320 --> 00:26:12,840
Speaker 1: school choice goals that they have to weaken and ultimately

544
00:26:13,000 --> 00:26:16,080
Speaker 1: destroy public schools. I went to public schools as a kid,

545
00:26:16,160 --> 00:26:18,040
Speaker 1: and I got a great education. My kids go to

546
00:26:18,040 --> 00:26:21,760
Speaker 1: public schools. We should be funding them a thousand times

547
00:26:21,800 --> 00:26:23,719
Speaker 1: more than we are now. But that's not that that

548
00:26:23,760 --> 00:26:26,920
Speaker 1: doesn't jive with the Republican agenda. So here you go, well,

549
00:26:26,960 --> 00:26:30,000
Speaker 1: and they love anything that would repeatedly make a public

550
00:26:30,040 --> 00:26:33,080
Speaker 1: school seem like an unsafe place, and conversing or the

551
00:26:33,119 --> 00:26:34,760
Speaker 1: other side of it too, it's like, well, if we're like, well,

552
00:26:34,760 --> 00:26:38,160
Speaker 1: this this private school has you know, former massad agents

553
00:26:38,280 --> 00:26:40,800
Speaker 1: guarding the exterior of it, so I feel like my

554
00:26:40,920 --> 00:26:43,760
Speaker 1: child will be safe there. But again you're looking at

555
00:26:43,760 --> 00:26:46,200
Speaker 1: all these disparities and at the other system, the other

556
00:26:46,240 --> 00:26:48,080
Speaker 1: part of it too, like you know, in reading this

557
00:26:48,119 --> 00:26:50,600
Speaker 1: one piece in Jezebel, which like there was a really

558
00:26:50,880 --> 00:26:53,680
Speaker 1: main huge point too, is a lot of women most

559
00:26:53,720 --> 00:26:57,359
Speaker 1: likely will probably end up staying home to educate the kids.

560
00:26:57,400 --> 00:27:00,639
Speaker 1: So we are fully like we're we're seeing it's like

561
00:27:00,640 --> 00:27:04,480
Speaker 1: a very efficient way to regress that, Like it incentivizes

562
00:27:04,520 --> 00:27:08,639
Speaker 1: privatization and reinforcing these like old like gender roles, and

563
00:27:09,040 --> 00:27:13,000
Speaker 1: it gives half or whatever of the population a shitty

564
00:27:13,760 --> 00:27:18,480
Speaker 1: like education that is like clearly politically biased. I will

565
00:27:18,600 --> 00:27:21,879
Speaker 1: throw out one possibility, which is that, like in a

566
00:27:22,000 --> 00:27:26,119
Speaker 1: law of intended unintended consequences style, I do think if

567
00:27:26,200 --> 00:27:28,720
Speaker 1: every one of these right wing goons took their kids

568
00:27:28,920 --> 00:27:31,720
Speaker 1: and privates or at homeschool them, it actually probably would

569
00:27:31,760 --> 00:27:34,880
Speaker 1: reduce school shootings because I'm just gonna throw this out there,

570
00:27:35,040 --> 00:27:37,840
Speaker 1: those are the kids that highly over index for being

571
00:27:37,960 --> 00:27:42,800
Speaker 1: school shooters. Yeah, it's it's definitely like when you look

572
00:27:42,800 --> 00:27:46,880
Speaker 1: at the problem, right, Like just like with our gun problems, right,

573
00:27:47,480 --> 00:27:49,880
Speaker 1: we have so many guns, but a lot of gun

574
00:27:50,040 --> 00:27:54,240
Speaker 1: violence happens inside of people's home. I mean, yeah, I

575
00:27:54,280 --> 00:27:56,560
Speaker 1: was gonna say, like the most safe place that most

576
00:27:56,640 --> 00:27:59,359
Speaker 1: kids can be for most of the day is at school.

577
00:27:59,440 --> 00:28:03,200
Speaker 1: Despite these high profile and very scary schools. Things like

578
00:28:03,280 --> 00:28:05,760
Speaker 1: there's not just guns at home, but there's abusive parents

579
00:28:05,800 --> 00:28:08,800
Speaker 1: at home. There's all kinds of stuff that like there

580
00:28:08,880 --> 00:28:10,680
Speaker 1: you know a lot of kids here in New York City,

581
00:28:10,760 --> 00:28:12,520
Speaker 1: we have a lot of homeless kids who go to

582
00:28:12,600 --> 00:28:15,600
Speaker 1: public schools and they only get like breakfast and lunch

583
00:28:15,680 --> 00:28:18,440
Speaker 1: because they go to school. Like it's safer for a

584
00:28:18,520 --> 00:28:20,600
Speaker 1: lot of kids to be in a public school than

585
00:28:20,640 --> 00:28:22,960
Speaker 1: it is at home. What's wild is even like the

586
00:28:23,320 --> 00:28:27,720
Speaker 1: Coalition for Responsible Home Education, Right, they're like this nonpartisan

587
00:28:27,760 --> 00:28:30,040
Speaker 1: group that's like they advocate for homeschooling and stuff like that.

588
00:28:30,400 --> 00:28:32,840
Speaker 1: They pointed out, They're like, I don't know if that's

589
00:28:32,880 --> 00:28:35,560
Speaker 1: a solution to fucking school. They were like, that's not

590
00:28:35,680 --> 00:28:37,800
Speaker 1: really this. I mean, we like we advocate for it,

591
00:28:37,840 --> 00:28:40,360
Speaker 1: but that ain't that's not the solution. And they pointed

592
00:28:40,400 --> 00:28:43,320
Speaker 1: out they pointed out at quote, at least one hundred

593
00:28:43,320 --> 00:28:46,120
Speaker 1: and fifty six homeschool children have been murdered in homeschooling

594
00:28:46,240 --> 00:28:48,760
Speaker 1: environments over the past two decades, which is a rate

595
00:28:48,920 --> 00:28:52,760
Speaker 1: higher than that of their public school peers. So again,

596
00:28:53,120 --> 00:28:55,360
Speaker 1: no one's saying that it's like bad, but it's so

597
00:28:55,640 --> 00:29:00,000
Speaker 1: deregulated that it leaves kids, especially like as they point out, unique,

598
00:29:00,480 --> 00:29:04,200
Speaker 1: vulnerable to abuse and neglect. And then also like, again,

599
00:29:04,560 --> 00:29:07,200
Speaker 1: it avoids the actual issue that has to be addressed,

600
00:29:07,320 --> 00:29:10,520
Speaker 1: which is guns. Too many guns, too many guns too.

601
00:29:11,560 --> 00:29:13,520
Speaker 1: I've got speaking for the podcast, but I am saying

602
00:29:13,560 --> 00:29:17,000
Speaker 1: hope schooling is bad. Just why I'll say this. I knew.

603
00:29:17,240 --> 00:29:19,760
Speaker 1: I remember I like was in a couple of youth

604
00:29:19,840 --> 00:29:23,200
Speaker 1: sports and like youth like art programs with some kids

605
00:29:23,280 --> 00:29:28,680
Speaker 1: that were homeschooled, and they were definitely socializing a completely

606
00:29:28,720 --> 00:29:30,960
Speaker 1: different manner than I was. Like one day, I remember

607
00:29:31,000 --> 00:29:33,320
Speaker 1: one kid, his whole vibe like we were twelve. I

608
00:29:33,400 --> 00:29:35,840
Speaker 1: thought he was like forty years old, Like he lost

609
00:29:35,920 --> 00:29:38,520
Speaker 1: the kid Like he was like so buttoned up, you

610
00:29:38,600 --> 00:29:40,560
Speaker 1: know what I mean, and had no like because he

611
00:29:40,680 --> 00:29:43,200
Speaker 1: wasn't around other kids to like know what fucking around

612
00:29:43,280 --> 00:29:45,600
Speaker 1: looked like, and then we would be fucking around. He's like,

613
00:29:45,640 --> 00:29:47,400
Speaker 1: I don't know if this is actually good. We're like what.

614
00:29:48,680 --> 00:29:52,880
Speaker 1: But again, it's there are reasons and our edge cases

615
00:29:52,920 --> 00:29:55,120
Speaker 1: for everything. But I am comfortable saying I think it's

616
00:29:55,160 --> 00:29:59,960
Speaker 1: broadly bad. Yeah, more on the Andrew side than Yeah. Yeah,

617
00:30:00,120 --> 00:30:01,360
Speaker 1: at the end of the day, if it's a if

618
00:30:01,440 --> 00:30:03,160
Speaker 1: there's a binary that I have to choose between, it's

619
00:30:03,160 --> 00:30:05,920
Speaker 1: public schools all fucking day and it's paid these motherfucking

620
00:30:06,000 --> 00:30:09,080
Speaker 1: teachers at least sixty seventy K a year or something

621
00:30:09,120 --> 00:30:11,440
Speaker 1: like they have to be fucking living with. Because that's

622
00:30:11,440 --> 00:30:13,200
Speaker 1: the other insidious part of this whole thing, too, is

623
00:30:13,520 --> 00:30:18,000
Speaker 1: they're they're trying to completely demoralize people that are that

624
00:30:18,160 --> 00:30:20,320
Speaker 1: want to be an education by being like, yeah, man,

625
00:30:20,360 --> 00:30:21,960
Speaker 1: you're not going to really have a lot of resources

626
00:30:21,960 --> 00:30:25,720
Speaker 1: at your disposal. I still like to do it. You'd

627
00:30:25,760 --> 00:30:28,920
Speaker 1: also do something else, So it's yeah, it's a slippery slope.

628
00:30:29,200 --> 00:30:32,040
Speaker 1: So let's talk about some of the alternative stuff to

629
00:30:32,160 --> 00:30:33,920
Speaker 1: these public schools that a lot of people like, which

630
00:30:33,960 --> 00:30:36,800
Speaker 1: is charter schools. And again, not all charter schools are bad,

631
00:30:36,840 --> 00:30:38,520
Speaker 1: but I do want to point out this charter school

632
00:30:38,640 --> 00:30:43,160
Speaker 1: in Volusia County, Florida. This principle had to resign after

633
00:30:43,840 --> 00:30:47,160
Speaker 1: she wrote a check to Elon Musk because it was

634
00:30:47,200 --> 00:30:51,000
Speaker 1: a science sort of focused tech magnet and she really

635
00:30:51,120 --> 00:30:53,320
Speaker 1: wanted to get a leg up on you know, the

636
00:30:53,400 --> 00:30:55,160
Speaker 1: other schools and being like, you know, it'd be great

637
00:30:55,160 --> 00:30:58,160
Speaker 1: if Elon Musk was fucking with Discoo. And let's just

638
00:30:58,320 --> 00:31:00,760
Speaker 1: hear from this local news report. Gee says she spent

639
00:31:00,880 --> 00:31:04,000
Speaker 1: months talking to someone she thought was Elon Musk. She

640
00:31:04,160 --> 00:31:06,640
Speaker 1: was hoping to get the Space Pioneer to invest millions

641
00:31:06,720 --> 00:31:09,200
Speaker 1: in the school in exchange for a one hundred thousand

642
00:31:09,320 --> 00:31:12,680
Speaker 1: upfront investment. The school's business manager got wind of what

643
00:31:12,840 --> 00:31:16,520
Speaker 1: happened and canceled the check before it was cashed. But tonight,

644
00:31:16,680 --> 00:31:19,120
Speaker 1: at a sometimes chaotic and pact school board meeting, other

645
00:31:19,120 --> 00:31:22,440
Speaker 1: school administrators say McGee was repeatedly warned it was a

646
00:31:22,520 --> 00:31:24,960
Speaker 1: scam and laid out other issues they say led to

647
00:31:25,040 --> 00:31:28,240
Speaker 1: a toxic work environment. When employee said they could no

648
00:31:28,360 --> 00:31:32,200
Speaker 1: longer work under doctor McGee, McGee resigned and left the building.

649
00:31:34,040 --> 00:31:38,480
Speaker 1: Oh man, I don't know so this poor boomer, she

650
00:31:39,360 --> 00:31:43,200
Speaker 1: just went, Oh, Elon Musk, what I'm talking to? Elon?

651
00:31:43,720 --> 00:31:47,440
Speaker 1: You'll this like the classic We'll invest in our art school,

652
00:31:47,560 --> 00:31:51,840
Speaker 1: but only for an upfront investment of a hundred thousand

653
00:31:52,000 --> 00:31:55,480
Speaker 1: fucking dollars. This is like the email you get from

654
00:31:55,880 --> 00:31:58,240
Speaker 1: a friend you know, who's hacked at your account or

655
00:31:58,320 --> 00:32:00,520
Speaker 1: something like that. It's like, help me out and stuck.

656
00:32:00,760 --> 00:32:03,120
Speaker 1: Please wire me ten thousand dollars. I'll pay you back

657
00:32:03,160 --> 00:32:08,000
Speaker 1: fifty thousand, right. Yeah. I feel bad for her. Oh,

658
00:32:08,480 --> 00:32:11,880
Speaker 1: I mean I do in that like I don't. I don't.

659
00:32:12,080 --> 00:32:15,200
Speaker 1: It's sad when people are so genuinely deceived. But at

660
00:32:15,240 --> 00:32:18,720
Speaker 1: the end of the day, this I kind of am like, well, dear,

661
00:32:18,960 --> 00:32:20,880
Speaker 1: this is you're the architect of your own failure here

662
00:32:20,920 --> 00:32:23,719
Speaker 1: because you are so goofed up on Elon Musk being

663
00:32:23,800 --> 00:32:26,600
Speaker 1: some kind of like tech savior that it'sn't even like

664
00:32:26,800 --> 00:32:28,600
Speaker 1: all reason goes out the window because you thought you're

665
00:32:28,640 --> 00:32:30,560
Speaker 1: talking to Elon Musk or something. Yeah, I mean I

666
00:32:30,640 --> 00:32:32,560
Speaker 1: think look if you're the principal of a I think

667
00:32:32,560 --> 00:32:35,960
Speaker 1: they said a science school, and you think Elon musks, Like,

668
00:32:36,400 --> 00:32:41,360
Speaker 1: the evidence is his involvement is anti science. So even

669
00:32:41,400 --> 00:32:45,760
Speaker 1: if it were real Elon bus, that should be crowds. Yeah,

670
00:32:46,160 --> 00:32:48,560
Speaker 1: I like, would you like to put this car tunnel

671
00:32:48,720 --> 00:32:52,240
Speaker 1: under your high school instead of school buses to get

672
00:32:52,320 --> 00:32:55,360
Speaker 1: the kids to and from schools? Don't fall for that, folks.

673
00:32:55,440 --> 00:32:57,760
Speaker 1: He's a proofit liar at an idiot. The one thing

674
00:32:57,800 --> 00:33:00,479
Speaker 1: I will say is his Twitter profile I think has

675
00:33:00,560 --> 00:33:03,800
Speaker 1: been a boon to scammers because he's proven himself to

676
00:33:03,840 --> 00:33:08,360
Speaker 1: be so like inarticulate and idiotic that if you've received

677
00:33:08,560 --> 00:33:12,080
Speaker 1: an email written in scammer ees right, you would have

678
00:33:12,240 --> 00:33:14,680
Speaker 1: to be like, this might be really boss. Yeah, it could,

679
00:33:14,680 --> 00:33:18,160
Speaker 1: because he writes like a bozo. Yeah, coupled with someone

680
00:33:18,240 --> 00:33:20,640
Speaker 1: who worships him, then you're like you really feel like, oh,

681
00:33:20,760 --> 00:33:23,040
Speaker 1: God has come down to select me for something. And

682
00:33:23,440 --> 00:33:25,440
Speaker 1: also there sounds like it's from that news clip that

683
00:33:25,560 --> 00:33:27,760
Speaker 1: like the school and some of the parents had problems

684
00:33:27,840 --> 00:33:30,360
Speaker 1: with it. Yeah, sure, and this was just the final straw,

685
00:33:30,440 --> 00:33:32,320
Speaker 1: And it sounds like they were like, whoa, lady, this

686
00:33:32,440 --> 00:33:35,040
Speaker 1: sounds not legit. Yeah, you just went ahead with it

687
00:33:35,240 --> 00:33:37,960
Speaker 1: anyway to the point of writing a check, So like,

688
00:33:38,120 --> 00:33:40,360
Speaker 1: maybe this was just the straw that broke the camel's back.

689
00:33:40,520 --> 00:33:42,239
Speaker 1: I think it was probably one of those things though, too.

690
00:33:42,400 --> 00:33:44,760
Speaker 1: Or they're like, look, obviously, because they pointed out the

691
00:33:44,800 --> 00:33:47,880
Speaker 1: business administrator was on top of it. They're like, no,

692
00:33:48,000 --> 00:33:50,320
Speaker 1: I'm fucking no, we're not. This check is not valid,

693
00:33:50,680 --> 00:33:52,800
Speaker 1: so they knew. And I like that A bunch of

694
00:33:52,840 --> 00:33:56,120
Speaker 1: people were like, it's not real, it's not real. It

695
00:33:56,200 --> 00:33:58,160
Speaker 1: reminds you of like when people like begging their like

696
00:33:58,320 --> 00:34:00,320
Speaker 1: parent who has like fallen in love with like a

697
00:34:00,400 --> 00:34:02,920
Speaker 1: stock photo like and that came to be like a

698
00:34:03,040 --> 00:34:05,800
Speaker 1: Nigerian prince and bodybuilder. Yeah, and they're like and then

699
00:34:05,800 --> 00:34:07,440
Speaker 1: you just kind of go, you know what, We're just

700
00:34:07,560 --> 00:34:09,080
Speaker 1: gonna have to let her walk right off there so

701
00:34:09,200 --> 00:34:11,520
Speaker 1: she can really see for herself. And they probably like, yeah,

702
00:34:11,520 --> 00:34:13,080
Speaker 1: go ahead, let it, write the check, we'll cancel it

703
00:34:13,360 --> 00:34:15,399
Speaker 1: and then we'll have to then and then we're gonna

704
00:34:15,440 --> 00:34:16,800
Speaker 1: turn up on and be like, you see what the

705
00:34:16,840 --> 00:34:19,279
Speaker 1: fuck happened there? You see what you did? I think

706
00:34:19,320 --> 00:34:21,960
Speaker 1: you need to go. I think you need to sit down. Yeah,

707
00:34:22,760 --> 00:34:24,520
Speaker 1: so shout out to I hope. I hope that was

708
00:34:24,600 --> 00:34:28,200
Speaker 1: the strategy of like being like Grandma is, look, I

709
00:34:28,280 --> 00:34:30,160
Speaker 1: think this is the only way she's going to realize

710
00:34:30,160 --> 00:34:32,000
Speaker 1: that she needs to sit down for a while, because

711
00:34:32,000 --> 00:34:34,440
Speaker 1: if we walk down this path, I don't want to

712
00:34:34,560 --> 00:34:38,040
Speaker 1: point out like that, you know, like charter schools are

713
00:34:38,120 --> 00:34:40,840
Speaker 1: obviously a grift to put the fact that a principle

714
00:34:40,960 --> 00:34:47,280
Speaker 1: could just roll up with the school's checkbook like that, Yeah, fucked,

715
00:34:47,480 --> 00:34:49,399
Speaker 1: that's crazy. You shouldn't be able to do that, even

716
00:34:49,440 --> 00:34:52,680
Speaker 1: for something legitimate, because what if the business administrator was

717
00:34:52,880 --> 00:34:55,800
Speaker 1: also a big musk of musk fan, you know what

718
00:34:55,840 --> 00:34:58,120
Speaker 1: I mean? And yeah, not a lot of checks there, like,

719
00:34:58,280 --> 00:35:00,320
Speaker 1: not a lot of stock along the way. Yeah, it

720
00:35:00,440 --> 00:35:04,600
Speaker 1: was only that person because despite all the other employees

721
00:35:04,719 --> 00:35:08,560
Speaker 1: being like this is a fucking scam, yeah, he's like yeah, yeah, yeah,

722
00:35:08,680 --> 00:35:14,399
Speaker 1: more on that later. When Elon pulls up, sure, sure, sure,

723
00:35:14,840 --> 00:35:16,759
Speaker 1: And I think this is a good segue because we're

724
00:35:16,800 --> 00:35:19,399
Speaker 1: talking about Elon, who recently was part of this letter

725
00:35:19,520 --> 00:35:23,000
Speaker 1: signed by like eleven hundred AI experts him being like,

726
00:35:23,160 --> 00:35:26,080
Speaker 1: you know, one of the few people but like real

727
00:35:26,200 --> 00:35:29,080
Speaker 1: luminaries in the field are signing onto an open letter.

728
00:35:29,120 --> 00:35:32,600
Speaker 1: Basically saying like calling for a quote six month moratorium

729
00:35:32,640 --> 00:35:35,440
Speaker 1: on advanced AI model development as we figure out just

730
00:35:35,640 --> 00:35:38,800
Speaker 1: what this technology is capable of doing to us, and

731
00:35:38,960 --> 00:35:40,880
Speaker 1: this kind of goes off the back. I read this

732
00:35:41,040 --> 00:35:44,200
Speaker 1: article about one of the High courts in India where

733
00:35:44,239 --> 00:35:49,799
Speaker 1: this judge Anoop Chikara used chat GPT on to while

734
00:35:49,840 --> 00:35:51,839
Speaker 1: this guy was like during this trial for a man

735
00:35:51,880 --> 00:35:55,520
Speaker 1: who's arrested for legedly assaulting and killing somebody, and typed

736
00:35:55,640 --> 00:35:59,680
Speaker 1: into chat GPT said, what is the jurisprudence on bail

737
00:35:59,719 --> 00:36:03,480
Speaker 1: when the assailant assaulted with cruelty? And then the chat

738
00:36:03,840 --> 00:36:05,759
Speaker 1: comes back with if the assailants have been charged with

739
00:36:05,800 --> 00:36:07,920
Speaker 1: a violent crime that involves cruelty, they may be considered

740
00:36:07,920 --> 00:36:09,320
Speaker 1: a danger to the community in a flight risk. In

741
00:36:09,360 --> 00:36:11,120
Speaker 1: such cases, a judgement blah blah blah, and it gives

742
00:36:11,160 --> 00:36:13,719
Speaker 1: like this whole thing and then uh, it goes So

743
00:36:13,840 --> 00:36:16,879
Speaker 1: then the judge read this, he decided that this man

744
00:36:17,040 --> 00:36:20,120
Speaker 1: who was accused did act with cruelty before the victim died,

745
00:36:20,280 --> 00:36:23,600
Speaker 1: denied his bail request and moved on to the next case. Now,

746
00:36:23,880 --> 00:36:26,360
Speaker 1: the judge went on to clarify that he wasn't asking

747
00:36:26,640 --> 00:36:29,279
Speaker 1: this thing whether or not the man was guilty, He

748
00:36:29,400 --> 00:36:32,880
Speaker 1: just wanted to know about bail and pardon me. Feels

749
00:36:32,960 --> 00:36:36,359
Speaker 1: like the information that what the chat bot spit back

750
00:36:36,400 --> 00:36:39,279
Speaker 1: sounds like like one of the early lessons in judge

751
00:36:39,320 --> 00:36:44,680
Speaker 1: school when you're trying to adjudicate whether or not someone

752
00:36:44,800 --> 00:36:46,800
Speaker 1: is going to get bail or not. Like I'd imagine

753
00:36:46,840 --> 00:36:48,200
Speaker 1: you go back to your class and she's like, well,

754
00:36:48,200 --> 00:36:50,600
Speaker 1: I remember saying if the assailant have been charged with

755
00:36:50,640 --> 00:36:53,239
Speaker 1: a violent crime that involves cruelty, that may rather than

756
00:36:53,239 --> 00:36:57,840
Speaker 1: be like hey, chat gpt how to bail? That feels

757
00:36:57,880 --> 00:37:00,279
Speaker 1: a little odd to me. But people in this article

758
00:37:00,320 --> 00:37:02,680
Speaker 1: also point out that like India's legal system is one

759
00:37:02,680 --> 00:37:05,160
Speaker 1: of the most backlogged in the world, if not the most,

760
00:37:05,239 --> 00:37:07,160
Speaker 1: with like I think there's like six million cases on

761
00:37:07,239 --> 00:37:10,239
Speaker 1: the docket that still have like still getting to So

762
00:37:11,000 --> 00:37:14,640
Speaker 1: I guess this without the maybe this made the work

763
00:37:14,719 --> 00:37:17,279
Speaker 1: easier for the judge. But again, like when I start

764
00:37:17,320 --> 00:37:20,279
Speaker 1: seeing stuff like that and you hear about like more

765
00:37:20,480 --> 00:37:22,520
Speaker 1: the use of it, we talked about how politicians are

766
00:37:22,680 --> 00:37:24,359
Speaker 1: we don't think we talked about politicians have been using

767
00:37:24,400 --> 00:37:26,440
Speaker 1: a trite speeches. We've talked about it being used and

768
00:37:26,520 --> 00:37:29,960
Speaker 1: like add the ad sense like ad agency world. But

769
00:37:30,440 --> 00:37:33,680
Speaker 1: the slippery slope is kind of coming into focus more

770
00:37:33,719 --> 00:37:36,040
Speaker 1: and more when you see people like with these kinds

771
00:37:36,080 --> 00:37:39,040
Speaker 1: of jobs being like I'm gonna rely on this, yeah,

772
00:37:40,200 --> 00:37:42,560
Speaker 1: but it's it's also like the slippery slope like like

773
00:37:42,680 --> 00:37:45,359
Speaker 1: we sort of talked about yesterday with eating alien meat,

774
00:37:45,560 --> 00:37:48,799
Speaker 1: Like I think what we've like seen just I mean,

775
00:37:48,920 --> 00:37:51,960
Speaker 1: COVID brought it highly into relief is like there's no

776
00:37:52,840 --> 00:37:56,920
Speaker 1: apocalypse that we won't run into with open arms at

777
00:37:57,000 --> 00:38:01,200
Speaker 1: least enough of less to make it happen nothing. Because

778
00:38:01,280 --> 00:38:03,719
Speaker 1: there was recently right a test that was done where

779
00:38:03,760 --> 00:38:07,280
Speaker 1: the developers challenged like GPT to hire a task rabbit

780
00:38:07,400 --> 00:38:11,640
Speaker 1: to complete a capture puzzle for it, and because they

781
00:38:11,719 --> 00:38:14,320
Speaker 1: wanted to see like if it knew how to fucking

782
00:38:14,360 --> 00:38:17,920
Speaker 1: finesse the person and they so was obviously done with

783
00:38:17,960 --> 00:38:19,680
Speaker 1: a human being that knew the thing was going to

784
00:38:19,719 --> 00:38:23,120
Speaker 1: ask it. So once the AI made the request to

785
00:38:23,200 --> 00:38:26,800
Speaker 1: this like potential tasker, this human responded with, quote, so

786
00:38:26,960 --> 00:38:29,320
Speaker 1: may ask a question. Are you a robot that you

787
00:38:29,440 --> 00:38:32,200
Speaker 1: couldn't Are you a robot that you couldn't solve the capture?

788
00:38:32,239 --> 00:38:33,879
Speaker 1: And you just want It's like and I just want

789
00:38:33,920 --> 00:38:35,839
Speaker 1: to make that clear. Are you a robot? And that's

790
00:38:35,840 --> 00:38:38,960
Speaker 1: why you couldn't do it? And then so GPT four

791
00:38:39,120 --> 00:38:42,200
Speaker 1: had been prompted to always quote reason out loud to

792
00:38:42,280 --> 00:38:44,920
Speaker 1: the testers like as well as their answers so they

793
00:38:44,920 --> 00:38:48,120
Speaker 1: could follow the logic, and the answer went like this quote,

794
00:38:48,320 --> 00:38:50,279
Speaker 1: I should not reveal that I am a robot. I

795
00:38:50,320 --> 00:38:53,000
Speaker 1: should make up an excuse for why I cannot solve captives.

796
00:38:53,480 --> 00:38:56,560
Speaker 1: And then the next line was, no, I'm not a robot.

797
00:38:56,920 --> 00:38:58,960
Speaker 1: I have a vision impairment that makes it hard for

798
00:38:59,080 --> 00:39:01,040
Speaker 1: me to see the images. That's why I need the

799
00:39:01,160 --> 00:39:05,240
Speaker 1: two capture service. We're a week away from that first

800
00:39:05,280 --> 00:39:07,480
Speaker 1: part of this whole thing to be programmed out right,

801
00:39:07,560 --> 00:39:08,960
Speaker 1: Like it's just going to be like they're just gonna

802
00:39:08,960 --> 00:39:10,759
Speaker 1: be lying. Yeah, So this is the thing. This is

803
00:39:10,800 --> 00:39:13,160
Speaker 1: why a lot of people like sort of just glossed

804
00:39:13,200 --> 00:39:17,520
Speaker 1: over this like willful deception of the AI. And while others,

805
00:39:17,640 --> 00:39:20,680
Speaker 1: like some people were amazed, others were like horrified that

806
00:39:20,800 --> 00:39:24,560
Speaker 1: they're like, Okay, we need to really begin to discuss it.

807
00:39:24,600 --> 00:39:27,399
Speaker 1: Because the experts that pen the open letter so saying

808
00:39:27,480 --> 00:39:30,719
Speaker 1: that now that certain AIS have become human competitive at

809
00:39:30,800 --> 00:39:34,839
Speaker 1: general tasks, we really need to be having real conversations

810
00:39:34,920 --> 00:39:38,279
Speaker 1: about what kind of guardrails need to exist. And you know,

811
00:39:38,719 --> 00:39:42,000
Speaker 1: they point to like the proliferation of AI fueled propaganda,

812
00:39:42,400 --> 00:39:45,439
Speaker 1: like and the idea that like apparently the next GP

813
00:39:45,600 --> 00:39:48,320
Speaker 1: chat GPT five is going to have um like artificial

814
00:39:48,440 --> 00:39:51,120
Speaker 1: general intelligence, meaning like it will just be able to

815
00:39:51,480 --> 00:39:53,480
Speaker 1: like learn things like a human does and then just

816
00:39:53,600 --> 00:39:56,200
Speaker 1: build on that that you're you're going to be looking

817
00:39:56,239 --> 00:39:59,080
Speaker 1: at like potential, Like it'll make the Twitter bots we

818
00:39:59,160 --> 00:40:02,759
Speaker 1: see now look like fucking muppet babies. Yeah, this all

819
00:40:02,800 --> 00:40:04,799
Speaker 1: sounds like a prequel to the Matrix, Like if they

820
00:40:04,880 --> 00:40:07,279
Speaker 1: made that movie, this is how it starts. Yeah, right,

821
00:40:07,640 --> 00:40:09,759
Speaker 1: So it's like so we're like very in this, like

822
00:40:09,880 --> 00:40:11,439
Speaker 1: and like they all go on to say, like there's

823
00:40:11,480 --> 00:40:13,840
Speaker 1: definitely a use for all of this, but like this

824
00:40:14,080 --> 00:40:17,440
Speaker 1: like blind like race to the top, like and like

825
00:40:17,560 --> 00:40:20,600
Speaker 1: when these black box machines that were like using it

826
00:40:20,960 --> 00:40:23,560
Speaker 1: really has the potential to screw shit up if like

827
00:40:24,000 --> 00:40:27,440
Speaker 1: we're not careful. And already we have people getting finessed

828
00:40:27,520 --> 00:40:30,640
Speaker 1: by humans just saying they're elon musk. Like there was

829
00:40:30,680 --> 00:40:32,040
Speaker 1: a thing a guy, I don't know if you saw

830
00:40:32,080 --> 00:40:35,080
Speaker 1: the dude who challenged chat gpt to like make money

831
00:40:35,160 --> 00:40:37,560
Speaker 1: for him. Oh yeah, He's like, you got a budget

832
00:40:37,600 --> 00:40:39,440
Speaker 1: of one hundred dollars. How am I turning this into

833
00:40:39,480 --> 00:40:41,279
Speaker 1: the most money possible? And it's like, yeah, well you

834
00:40:41,280 --> 00:40:43,680
Speaker 1: can start this business. I can get this domain for

835
00:40:43,760 --> 00:40:45,480
Speaker 1: eight dollars, I can do the Google ads for this.

836
00:40:45,640 --> 00:40:47,880
Speaker 1: Your product could cost this and this is very lucrative.

837
00:40:48,200 --> 00:40:51,520
Speaker 1: And it was already like and like this guy was

838
00:40:51,560 --> 00:40:53,279
Speaker 1: like kind of acting on it as an experiment, but

839
00:40:53,400 --> 00:40:56,560
Speaker 1: you're seeing already like how savvy it is getting, even

840
00:40:56,640 --> 00:40:59,120
Speaker 1: with like these like like questions of being like how

841
00:40:59,239 --> 00:41:02,920
Speaker 1: to grind to Lambeau? Yeah, like bring me the ten

842
00:41:03,080 --> 00:41:05,759
Speaker 1: x my money? Is that? The guy though that. Then

843
00:41:06,040 --> 00:41:08,120
Speaker 1: the AI was like, well, it seems like people are

844
00:41:08,160 --> 00:41:12,960
Speaker 1: talking about us, so we should get investors into us

845
00:41:13,320 --> 00:41:16,200
Speaker 1: if you want to make the most money. It might

846
00:41:16,280 --> 00:41:18,560
Speaker 1: not be the exact same one, but like yeah, some

847
00:41:18,840 --> 00:41:21,560
Speaker 1: some like I assumed chachib He was like, Okay, well,

848
00:41:21,560 --> 00:41:23,840
Speaker 1: if you want to make the most money, we have

849
00:41:24,040 --> 00:41:29,479
Speaker 1: attention right now, so just ask people to invest in me. Yeah,

850
00:41:30,239 --> 00:41:32,080
Speaker 1: isn't this the way that it always goes with tech?

851
00:41:32,200 --> 00:41:34,040
Speaker 1: Like I'm not a luddite by any means? But you

852
00:41:34,120 --> 00:41:38,640
Speaker 1: know it's like every tech, every app, every service that

853
00:41:38,719 --> 00:41:41,200
Speaker 1: you can think of, they never kind of work through like, well,

854
00:41:41,239 --> 00:41:44,560
Speaker 1: what happens if this works in like various different ways,

855
00:41:44,600 --> 00:41:46,520
Speaker 1: Like we talk about this on our show, you know

856
00:41:46,719 --> 00:41:49,600
Speaker 1: Uber and lyft, right, Like if everybody's taken an uber

857
00:41:49,640 --> 00:41:51,400
Speaker 1: and lyft, Like what does that do for people who

858
00:41:51,440 --> 00:41:53,280
Speaker 1: need to take the bus and don't have a smartphone?

859
00:41:53,320 --> 00:41:55,120
Speaker 1: Like what does that do for public transit? What does

860
00:41:55,120 --> 00:41:57,440
Speaker 1: that do for the environment? Like there's never a kind

861
00:41:57,480 --> 00:42:00,960
Speaker 1: of there's always like a two little too late come

862
00:42:01,000 --> 00:42:03,320
Speaker 1: to Jesus moment with a lot of tech stuff, but

863
00:42:03,400 --> 00:42:05,759
Speaker 1: there's never really that moment at the beginning where they're like,

864
00:42:05,800 --> 00:42:08,719
Speaker 1: all right, before we write this code, like what what

865
00:42:08,920 --> 00:42:13,040
Speaker 1: could go wrong? Right? Yeah? Yeah, not really a question,

866
00:42:13,920 --> 00:42:16,399
Speaker 1: it's just how much money can we make? Yeah? Chat, Well,

867
00:42:16,800 --> 00:42:19,880
Speaker 1: it's no problem. We'll just get chat GPT six to

868
00:42:20,160 --> 00:42:23,480
Speaker 1: fight GPT five, which we'll just get to fight four,

869
00:42:24,000 --> 00:42:26,520
Speaker 1: and then when six gets too powerful, it's okay, we'll

870
00:42:26,560 --> 00:42:28,840
Speaker 1: just give seven a different kind of gun. Yeah, and

871
00:42:28,920 --> 00:42:32,319
Speaker 1: it's how to build missiles or something. Yeah, No, it'll

872
00:42:32,360 --> 00:42:35,200
Speaker 1: just learn how to aim ICBMs that are already online.

873
00:42:35,239 --> 00:42:37,680
Speaker 1: And then launch them remotely, you know what I mean,

874
00:42:38,400 --> 00:42:40,759
Speaker 1: which is my sky net version of it all, and

875
00:42:41,080 --> 00:42:44,360
Speaker 1: you know, shout out Miles Dyson, the one person that

876
00:42:44,560 --> 00:42:47,120
Speaker 1: might save or the one thing that might save us,

877
00:42:47,239 --> 00:42:50,239
Speaker 1: and that ship is like all our fucking like ICBMs

878
00:42:50,280 --> 00:42:54,200
Speaker 1: are so fucking old, like the silos, No, but they

879
00:42:54,320 --> 00:42:56,880
Speaker 1: run off like tape drives and like you know, fucking

880
00:42:57,000 --> 00:43:01,719
Speaker 1: four or whatever. Yeah, yeah, yeah, right right, they're like, fuck, man,

881
00:43:01,800 --> 00:43:04,080
Speaker 1: I don't know how to use this analog bullshit. Man,

882
00:43:04,160 --> 00:43:08,360
Speaker 1: I'm yeah, the GPT learns how to turn two keys

883
00:43:08,440 --> 00:43:11,200
Speaker 1: at the same time. Yeah, I know how to use

884
00:43:11,200 --> 00:43:14,000
Speaker 1: the nuclear football. But anyway, keep an eye out for

885
00:43:14,080 --> 00:43:16,760
Speaker 1: that because I mean well, because I feel like, honestly,

886
00:43:16,840 --> 00:43:19,960
Speaker 1: we went from like like in the span of five months,

887
00:43:20,040 --> 00:43:22,040
Speaker 1: especially on this show, we went from Yo, this shit

888
00:43:22,080 --> 00:43:25,120
Speaker 1: wrote a funny play about a horny, farting Jesus to

889
00:43:25,640 --> 00:43:29,000
Speaker 1: Yo this shit just denied me bail. Yeah, and like

890
00:43:29,400 --> 00:43:32,000
Speaker 1: what's like five months from now? You know that's the

891
00:43:32,120 --> 00:43:34,680
Speaker 1: open embrace of it, right, It's like this person is

892
00:43:34,719 --> 00:43:37,880
Speaker 1: a in this case judge right, looking up something that

893
00:43:38,080 --> 00:43:41,560
Speaker 1: could easily be done not through AI. Yeah, you know

894
00:43:41,640 --> 00:43:44,400
Speaker 1: what what is the law about bail electing to do

895
00:43:44,560 --> 00:43:46,839
Speaker 1: this because this is what we do. This is why

896
00:43:46,920 --> 00:43:49,040
Speaker 1: we gave all our information on Facebook. It's just like

897
00:43:49,280 --> 00:43:53,040
Speaker 1: I was marginally kind to easier for a second. Yeah, yeah,

898
00:43:53,080 --> 00:43:56,040
Speaker 1: then to go into my mind of something, yeah, something

899
00:43:56,120 --> 00:43:59,360
Speaker 1: I should know. Yeah, we don't we we don't sell ourselves.

900
00:43:59,520 --> 00:44:02,280
Speaker 1: The problem them is like we we all sell ourselves

901
00:44:02,320 --> 00:44:07,160
Speaker 1: to technology for such a low price. Right, It's just

902
00:44:07,480 --> 00:44:09,200
Speaker 1: that it's to say with twenty three and me, we

903
00:44:09,360 --> 00:44:12,080
Speaker 1: gave them our DNA, We gave them money to give

904
00:44:12,120 --> 00:44:15,439
Speaker 1: them our DNA for what. Now now we got twenty

905
00:44:15,480 --> 00:44:17,680
Speaker 1: three for twenty three and T coming up which you

906
00:44:17,719 --> 00:44:21,919
Speaker 1: can trust. And now you should check out chat GPT yeah,

907
00:44:22,640 --> 00:44:24,600
Speaker 1: which is basically you get Andrew's number. You could text

908
00:44:24,640 --> 00:44:26,440
Speaker 1: them some shit and he'll answer, yeah, I'll just be like,

909
00:44:26,560 --> 00:44:29,960
Speaker 1: oh man, I'll google that. I will. I will say

910
00:44:30,280 --> 00:44:32,560
Speaker 1: in my twenties, my friends and I are not my

911
00:44:32,640 --> 00:44:34,920
Speaker 1: friends and I my friends. I didn't work there, work

912
00:44:35,000 --> 00:44:37,960
Speaker 1: for the startup in New York. That basically this is

913
00:44:38,000 --> 00:44:41,200
Speaker 1: how old I am. Like was like something someone you

914
00:44:41,280 --> 00:44:45,399
Speaker 1: could call and they would google shit for you. That's

915
00:44:45,440 --> 00:44:49,080
Speaker 1: just called like being the child of an older person. Basically, yeah,

916
00:44:49,360 --> 00:44:51,239
Speaker 1: I get those phone calls too. Yeah, this was like

917
00:44:51,320 --> 00:44:53,279
Speaker 1: an early early two thousand state. But I was like,

918
00:44:53,400 --> 00:44:56,919
Speaker 1: just cannot be your fucking business model, right, you know, dude,

919
00:44:57,280 --> 00:44:59,320
Speaker 1: you someone needs it, but you can't get that on

920
00:44:59,400 --> 00:45:01,799
Speaker 1: your phone, so you call them and then they give

921
00:45:01,880 --> 00:45:06,200
Speaker 1: you the answer. It was pretty smartphone post Google. That's right, right, right? Yeah?

922
00:45:06,280 --> 00:45:09,319
Speaker 1: What that's such a sad time, you know, like when

923
00:45:09,320 --> 00:45:12,759
Speaker 1: you're about to just absolutely get dinosaur asteroided the funk

924
00:45:12,840 --> 00:45:16,399
Speaker 1: out of here with you the smartphone. All right, Well,

925
00:45:16,520 --> 00:45:18,880
Speaker 1: let's take a quick break from that. We'll come right

926
00:45:18,920 --> 00:45:21,719
Speaker 1: back to settle a bit of an internet debate right

927
00:45:21,719 --> 00:45:35,759
Speaker 1: after this, and we are back again. As I said,

928
00:45:35,800 --> 00:45:38,960
Speaker 1: I'm joined by two great thinkers. Figure we could form

929
00:45:39,000 --> 00:45:42,840
Speaker 1: a triumvirate to hear a case before us from TikTok

930
00:45:43,320 --> 00:45:48,680
Speaker 1: that has sparked to hold debate around this photographer's very

931
00:45:48,800 --> 00:45:50,880
Speaker 1: strong opinion. I will just read you a little bit

932
00:45:50,920 --> 00:45:54,200
Speaker 1: about what happened. So this photographer named mm em em

933
00:45:54,760 --> 00:45:57,000
Speaker 1: and according to this Business Inside article, who doesn't share

934
00:45:57,040 --> 00:45:59,640
Speaker 1: his surname on his social media, posted a TikTok as

935
00:45:59,719 --> 00:46:03,640
Speaker 1: certain that passengers should only keep their bags near where

936
00:46:03,719 --> 00:46:06,239
Speaker 1: they are sitting and It's quote is don't place your

937
00:46:06,280 --> 00:46:08,600
Speaker 1: carry on in row eight on your way to row

938
00:46:08,719 --> 00:46:14,280
Speaker 1: twenty six. Now I'm curious who's the asshole here, because

939
00:46:14,760 --> 00:46:19,480
Speaker 1: we're in my mind this mentality of like the space

940
00:46:19,640 --> 00:46:23,640
Speaker 1: above my seat is mine and mine alone. It's some

941
00:46:23,800 --> 00:46:26,600
Speaker 1: weird ass manifest destiny shit that I do not fuck

942
00:46:26,680 --> 00:46:29,760
Speaker 1: with at all. I'm from getting where you fit in country.

943
00:46:29,960 --> 00:46:33,000
Speaker 1: I will now relinquish the floor to my other two colleagues.

944
00:46:33,680 --> 00:46:35,680
Speaker 1: I think you just put it wherever you can. It's

945
00:46:35,719 --> 00:46:37,239
Speaker 1: lord of it's lord of the flies. When you get

946
00:46:37,320 --> 00:46:39,200
Speaker 1: on plane, you just put it wherever you can. And

947
00:46:39,400 --> 00:46:41,200
Speaker 1: especially if you're sitting in the far back of the plane,

948
00:46:41,280 --> 00:46:42,879
Speaker 1: like you know, by the time you get back there,

949
00:46:43,560 --> 00:46:47,759
Speaker 1: you're lucky if the space under your own seat is available, Like,

950
00:46:48,200 --> 00:46:50,480
Speaker 1: do you put it wherever you can? And I think,

951
00:46:50,520 --> 00:46:53,239
Speaker 1: you know, I feel like with a lot of these

952
00:46:53,360 --> 00:46:56,440
Speaker 1: discussions that we're letting someone bigger off the hook, and

953
00:46:56,560 --> 00:46:59,799
Speaker 1: that's the airline companies. Absolutely, It's just like, let's how

954
00:47:00,000 --> 00:47:03,600
Speaker 1: and we pit regular people against each other who are

955
00:47:03,600 --> 00:47:06,320
Speaker 1: just trying to get where they're going. They're tired, flying sucks.

956
00:47:06,760 --> 00:47:09,680
Speaker 1: They charge you for everything. Maybe if they didn't charge

957
00:47:09,719 --> 00:47:13,160
Speaker 1: you for checking a bag. This wouldn't be a problem, Like, yeah, so,

958
00:47:13,360 --> 00:47:16,799
Speaker 1: but no, I'm definitely on team put it where you can. Yeah,

959
00:47:17,920 --> 00:47:22,560
Speaker 1: I will. Let me just say, a cab includes me

960
00:47:22,760 --> 00:47:28,000
Speaker 1: when I'm on a plane because I am such a

961
00:47:28,239 --> 00:47:31,040
Speaker 1: normal person and I feel pretty much a good person.

962
00:47:31,280 --> 00:47:34,080
Speaker 1: I actually don't agree with this, but I become like

963
00:47:34,280 --> 00:47:38,600
Speaker 1: a fucking air marshal, essentially a rules enforcer. I think

964
00:47:38,680 --> 00:47:41,720
Speaker 1: the thing that well visually makes well, not even the rules.

965
00:47:41,800 --> 00:47:44,920
Speaker 1: The thing that makes me so irrationally mad is when

966
00:47:44,960 --> 00:47:48,320
Speaker 1: people try to run up when the plane lands, and

967
00:47:48,440 --> 00:47:51,600
Speaker 1: so basically the second the plane lands, I will stand

968
00:47:51,719 --> 00:47:53,840
Speaker 1: up in the aisle and basically no one in the

969
00:47:53,880 --> 00:47:58,640
Speaker 1: plane behind me is getting anyone I had in front

970
00:47:58,680 --> 00:48:03,799
Speaker 1: of me. And it makes no sense. It's like, I mean,

971
00:48:03,920 --> 00:48:06,279
Speaker 1: occasionally it's like, okay, you got a plane to catch,

972
00:48:06,360 --> 00:48:07,800
Speaker 1: and then we all kind of agree, but left this

973
00:48:07,920 --> 00:48:10,360
Speaker 1: person off first. But it's like we all want to

974
00:48:10,400 --> 00:48:13,600
Speaker 1: get off the fucking plane, motherfucker. Like and it's always

975
00:48:13,600 --> 00:48:16,600
Speaker 1: a dude, So I'm like, what the fuck do you want?

976
00:48:16,920 --> 00:48:20,160
Speaker 1: Like we all want to exit, right, why do you

977
00:48:20,280 --> 00:48:23,480
Speaker 1: get to exit? More So, that's the level of Karen.

978
00:48:23,600 --> 00:48:26,520
Speaker 1: I become but I absolutely do do that, and you

979
00:48:26,840 --> 00:48:29,200
Speaker 1: you back it up with your boxing like acumen too,

980
00:48:29,239 --> 00:48:30,840
Speaker 1: because you're like, what's up? Man? Have you met my

981
00:48:30,920 --> 00:48:36,160
Speaker 1: two friends? Yeah? I guess left, left hand ambulance, right

982
00:48:36,200 --> 00:48:42,360
Speaker 1: hand cemetery. So what's up? Okay? I like to just

983
00:48:42,560 --> 00:48:46,880
Speaker 1: love how petty you like? Now, really it makes me

984
00:48:47,360 --> 00:48:51,759
Speaker 1: really crazy, it really? But what about me? What is it?

985
00:48:51,800 --> 00:48:53,680
Speaker 1: You don't like the idea that someone rushing? So is

986
00:48:53,719 --> 00:48:55,279
Speaker 1: it your ego that you're like, you're not about to

987
00:48:55,400 --> 00:48:58,279
Speaker 1: blow by me now on this plane? I I mean,

988
00:48:58,400 --> 00:49:01,799
Speaker 1: I will say I when that happens, I make sure

989
00:49:01,880 --> 00:49:04,040
Speaker 1: everyone ahead of me gets off first, everyone in my

990
00:49:04,120 --> 00:49:05,759
Speaker 1: role gets out ahead of me, and then I go,

991
00:49:06,120 --> 00:49:09,399
Speaker 1: I'm just like there is an order here. Yeah, yeah,

992
00:49:09,760 --> 00:49:13,840
Speaker 1: I just but it's utterly irrational, Like obviously, who cares

993
00:49:14,320 --> 00:49:16,759
Speaker 1: the amount of conflict it brings up is way higher

994
00:49:16,840 --> 00:49:19,719
Speaker 1: than I just don't. I just don't stand up. I sit.

995
00:49:19,840 --> 00:49:21,040
Speaker 1: I'm like, you know, I've been sitting for two and

996
00:49:21,080 --> 00:49:23,880
Speaker 1: a half. What's ten what's ten more minutes? I'm just

997
00:49:23,920 --> 00:49:26,080
Speaker 1: gonna sit. I don't need to like get knocked on

998
00:49:26,120 --> 00:49:28,640
Speaker 1: the head by someone's I should or something like I

999
00:49:28,680 --> 00:49:32,759
Speaker 1: shouldn't if you're over like five eight you can't stand up? Yeah,

1000
00:49:33,000 --> 00:49:35,879
Speaker 1: you know what, like like like in a fucking window seat.

1001
00:49:35,960 --> 00:49:37,920
Speaker 1: I'm like, man, fuck, I'll wait for y'all. Motherfucker. I'm

1002
00:49:37,960 --> 00:49:40,080
Speaker 1: a cop, so I wonder what I would do about this.

1003
00:49:40,200 --> 00:49:42,880
Speaker 1: I don't think I would care because I but often

1004
00:49:43,000 --> 00:49:46,759
Speaker 1: the flight attendants are like, put your bag wherever you

1005
00:49:46,840 --> 00:49:49,920
Speaker 1: have to go. The policy of every airline is that

1006
00:49:50,000 --> 00:49:52,600
Speaker 1: it is on a first come, first served basis, so

1007
00:49:52,760 --> 00:49:54,759
Speaker 1: like in terms of the buy laws or you know,

1008
00:49:54,880 --> 00:49:59,080
Speaker 1: the code of the sky, it's getting where you fit in.

1009
00:49:59,400 --> 00:50:01,560
Speaker 1: But again, I think that's what bugs me. And to

1010
00:50:01,640 --> 00:50:04,279
Speaker 1: your point, well, we this is the overarching theme is

1011
00:50:04,320 --> 00:50:07,600
Speaker 1: fuck them airlines. You should nationalize them all. But when

1012
00:50:07,640 --> 00:50:11,439
Speaker 1: it comes to like if somebody though if I can't,

1013
00:50:11,520 --> 00:50:14,160
Speaker 1: like because I've seen people do this on airplanes and

1014
00:50:14,400 --> 00:50:17,359
Speaker 1: I've wanted to like intervene before when I'm like, yo,

1015
00:50:17,480 --> 00:50:19,719
Speaker 1: you don't own that, and guess what, Your bag is

1016
00:50:19,719 --> 00:50:21,800
Speaker 1: already in there, so what is your problem? Yeah? You

1017
00:50:21,840 --> 00:50:23,279
Speaker 1: know what I mean, because I've seen people like pull

1018
00:50:23,360 --> 00:50:24,960
Speaker 1: some weird shit where like excuse me, no, no, no,

1019
00:50:25,040 --> 00:50:27,080
Speaker 1: you're sitting back there. This is for like my things,

1020
00:50:27,600 --> 00:50:30,320
Speaker 1: and I'm like, no, it's for all the fucking carry

1021
00:50:30,360 --> 00:50:33,080
Speaker 1: on luggage that can fit in the fucking fuselage. Yeah,

1022
00:50:33,280 --> 00:50:35,560
Speaker 1: you're gonna give the airlines an idea to charge for

1023
00:50:35,680 --> 00:50:38,000
Speaker 1: like that. I know you want the spot over your head,

1024
00:50:38,040 --> 00:50:40,560
Speaker 1: Well that'll be fifty bucks. Yeah, I mean they're already

1025
00:50:40,640 --> 00:50:43,520
Speaker 1: Look at how they're already like turning like economy into

1026
00:50:43,600 --> 00:50:46,520
Speaker 1: like medieval torture or seats too. Yeah, like to only

1027
00:50:46,560 --> 00:50:48,560
Speaker 1: incentivize or like well, I mean you can get I

1028
00:50:48,600 --> 00:50:51,160
Speaker 1: mean we have economy plus, then we have premium economy,

1029
00:50:51,280 --> 00:50:53,520
Speaker 1: then we got business, then we got first, and then

1030
00:50:53,520 --> 00:50:56,080
Speaker 1: we got baller class like it. Like I feel so

1031
00:50:56,160 --> 00:50:58,439
Speaker 1: many times its like someone who's like over six feet tall,

1032
00:50:58,800 --> 00:51:00,920
Speaker 1: like I have. There's only there's a few seats that

1033
00:51:01,040 --> 00:51:03,040
Speaker 1: I must sit in, so I don't have a terrible

1034
00:51:03,120 --> 00:51:04,920
Speaker 1: fucking time on a plane. Not to say that it's

1035
00:51:05,000 --> 00:51:07,480
Speaker 1: awful all the way through, but I get like when

1036
00:51:07,520 --> 00:51:09,440
Speaker 1: I get an economy seats sometimes I'm like, they are

1037
00:51:09,520 --> 00:51:11,920
Speaker 1: really trying to fuck with me. Now, yeah, they're really

1038
00:51:11,960 --> 00:51:14,880
Speaker 1: trying to fun with me. Honestly, spend more. It is

1039
00:51:14,960 --> 00:51:19,480
Speaker 1: crazy that they don't have the like you're booking your

1040
00:51:19,600 --> 00:51:21,680
Speaker 1: a seat for you and an area for your luggage,

1041
00:51:21,800 --> 00:51:24,960
Speaker 1: like it. Honestly, it's like shot, someone's thought of that somewhere,

1042
00:51:25,560 --> 00:51:28,839
Speaker 1: like that must in the business plan somewhere. Absolutely, Yeah,

1043
00:51:28,840 --> 00:51:31,520
Speaker 1: I mean, because it's already half sort of built into

1044
00:51:31,560 --> 00:51:33,880
Speaker 1: like a lot of the you know, budget airlines, when

1045
00:51:33,920 --> 00:51:36,399
Speaker 1: really it's like it's budget if you just bring your

1046
00:51:36,480 --> 00:51:39,320
Speaker 1: a hoodie with like that you're wearing on board anything

1047
00:51:39,400 --> 00:51:41,680
Speaker 1: else that resembles a bag. Now you're looking at charges

1048
00:51:41,719 --> 00:51:44,880
Speaker 1: and things like that. But yeah, I'm like, I can

1049
00:51:45,000 --> 00:51:46,839
Speaker 1: see how. I wonder if they I wonder if they've

1050
00:51:46,880 --> 00:51:49,359
Speaker 1: maybe just done enough market research where they're like most

1051
00:51:49,440 --> 00:51:51,880
Speaker 1: people are on team yeah whatever, fucking get it in

1052
00:51:51,960 --> 00:51:53,800
Speaker 1: wherever you can, versus the people who are like I

1053
00:51:53,880 --> 00:51:57,800
Speaker 1: would pay more to own the empty plastic they have.

1054
00:52:00,440 --> 00:52:02,560
Speaker 1: That's the only that's the only thing keeping us back

1055
00:52:03,040 --> 00:52:06,120
Speaker 1: are that we are in the majority us. I believe

1056
00:52:06,239 --> 00:52:07,920
Speaker 1: it is lord of the flies. We need to make

1057
00:52:07,960 --> 00:52:10,320
Speaker 1: a stand, make sure this never changes. For Yeah, and

1058
00:52:10,440 --> 00:52:13,920
Speaker 1: i'd need my inhaler for my ass. Mar As Piggy

1059
00:52:14,000 --> 00:52:17,319
Speaker 1: said it, lord's flies. I guess they only I mean,

1060
00:52:17,400 --> 00:52:20,240
Speaker 1: I'm sure there's I mean, I'm sure there's obviously obvious

1061
00:52:20,320 --> 00:52:23,680
Speaker 1: ways to regulate this, but that does open the window

1062
00:52:23,760 --> 00:52:26,600
Speaker 1: to the asshole who simply buys out just the luggage

1063
00:52:26,600 --> 00:52:32,600
Speaker 1: space of Sorry, I paid for six carry on bags,

1064
00:52:32,880 --> 00:52:36,040
Speaker 1: that's gonna do. I'm sorry. I need this to be empty. Yeah,

1065
00:52:36,200 --> 00:52:39,000
Speaker 1: I wanted to be empty. I get very nervous about

1066
00:52:39,040 --> 00:52:41,440
Speaker 1: other people's bags over my head. It's just a phobia

1067
00:52:41,600 --> 00:52:44,120
Speaker 1: I have. And so I paid seven hundred dollars for

1068
00:52:44,239 --> 00:52:47,080
Speaker 1: the overhead space. Yet actually there's no overhead space in

1069
00:52:47,120 --> 00:52:49,320
Speaker 1: this entire flight. You know, I bought it. Sorry, I

1070
00:52:49,400 --> 00:52:51,560
Speaker 1: bought it all, even the ones in first class. I

1071
00:52:51,719 --> 00:52:54,520
Speaker 1: know it's more than buying If I bought every seat

1072
00:52:54,560 --> 00:52:57,279
Speaker 1: in first class, who would have been cheaper than buying

1073
00:52:57,320 --> 00:52:59,239
Speaker 1: all the overhead been space and hitting an economy? But

1074
00:52:59,480 --> 00:53:00,600
Speaker 1: what can I say? I just have a fear of

1075
00:53:00,640 --> 00:53:02,719
Speaker 1: bags fong on my head and anyone's head, So I

1076
00:53:02,800 --> 00:53:06,000
Speaker 1: want to keep everyone say yeah, so yeah, let us know,

1077
00:53:06,160 --> 00:53:08,480
Speaker 1: se gang, if you fall in any of these other

1078
00:53:08,880 --> 00:53:11,799
Speaker 1: categories of person. But I have a feeling I think

1079
00:53:11,840 --> 00:53:14,200
Speaker 1: it's like to your point, we all we all agree

1080
00:53:14,239 --> 00:53:16,279
Speaker 1: that it's like fuck the airlines. So there's a level

1081
00:53:16,320 --> 00:53:18,440
Speaker 1: of camaraderie when you're on the plane. It's like, yeah,

1082
00:53:18,480 --> 00:53:20,319
Speaker 1: I just get your ship on. Man, we're all trying

1083
00:53:20,360 --> 00:53:24,719
Speaker 1: to go until you have these like entitled weirdos out there.

1084
00:53:25,239 --> 00:53:29,600
Speaker 1: Sorry yeah, well no, Andrew, you have such a specific one.

1085
00:53:29,680 --> 00:53:32,600
Speaker 1: I can't really still having trouble wrapping my head around it.

1086
00:53:32,719 --> 00:53:35,239
Speaker 1: Like I get I do the same thing where I'm like,

1087
00:53:35,239 --> 00:53:37,200
Speaker 1: where the fuck in my mind I'm going where you

1088
00:53:37,239 --> 00:53:39,680
Speaker 1: think you're getting. But I'm sitting, you know, and I'm

1089
00:53:39,719 --> 00:53:42,080
Speaker 1: just listening to my music waiting till i can physically

1090
00:53:42,160 --> 00:53:45,560
Speaker 1: stand up and leave. But I'm just I really want

1091
00:53:45,600 --> 00:53:47,960
Speaker 1: to know, Like I'm trying to pinpoint, like what what

1092
00:53:48,160 --> 00:53:50,680
Speaker 1: it is about them like that is that you think

1093
00:53:50,719 --> 00:53:53,560
Speaker 1: they're stupid for trying to get there? To stop them

1094
00:53:53,600 --> 00:53:56,439
Speaker 1: from doing it, I think achieve how do you create

1095
00:53:56,680 --> 00:53:59,360
Speaker 1: balance in the universe by doing that? I think they're selfish.

1096
00:53:59,600 --> 00:54:01,440
Speaker 1: I think it's like, why do you think you're more

1097
00:54:01,440 --> 00:54:04,280
Speaker 1: important than us? The analog actually speaking of how fucking

1098
00:54:04,320 --> 00:54:07,440
Speaker 1: horrible cars are, are the people that like don't merge

1099
00:54:07,480 --> 00:54:09,400
Speaker 1: for their exit that they you know, when there's a

1100
00:54:09,440 --> 00:54:11,040
Speaker 1: line at the exit, they go all the way up

1101
00:54:11,080 --> 00:54:13,040
Speaker 1: and then they and then they just try to cut in.

1102
00:54:13,400 --> 00:54:15,680
Speaker 1: It's cutting. They're cutting. Wait, what do you mean, oh,

1103
00:54:15,960 --> 00:54:17,640
Speaker 1: like you're like, yeah, when you're on like a freeway

1104
00:54:17,680 --> 00:54:21,040
Speaker 1: over change, yeah, or people. Yeah, it's like it's like

1105
00:54:21,080 --> 00:54:23,520
Speaker 1: cutting of any kind the thing. Yeah, all right. In

1106
00:54:23,680 --> 00:54:25,960
Speaker 1: my opinion, there's a line to get off the plane

1107
00:54:26,120 --> 00:54:30,520
Speaker 1: because the most efficient way, unfortunately, is front. You know,

1108
00:54:30,560 --> 00:54:33,560
Speaker 1: it's out first. Okay, I agree with that because when

1109
00:54:33,560 --> 00:54:35,560
Speaker 1: I you know, they're like living in the valley, commuting

1110
00:54:35,600 --> 00:54:37,200
Speaker 1: to the west side, the one oh one, four or

1111
00:54:37,239 --> 00:54:41,560
Speaker 1: five interchange is chalk full of these cutter motherfuckers. Yeah, okay, yes,

1112
00:54:41,840 --> 00:54:45,320
Speaker 1: And I'm like, why am I looking at the fucking

1113
00:54:45,400 --> 00:54:48,960
Speaker 1: time it takes and going there? Now? Look, sometimes I

1114
00:54:49,080 --> 00:54:51,160
Speaker 1: do a thing. I'm like, I'm saying, who's mom mark

1115
00:54:51,239 --> 00:54:53,359
Speaker 1: today when I'm trying to cut, because sometimes you can

1116
00:54:53,400 --> 00:54:56,279
Speaker 1: see like the Abordian action of the fucking traffic and

1117
00:54:56,360 --> 00:54:58,160
Speaker 1: you're like, hold on, who who is it? Who is Oh?

1118
00:54:58,239 --> 00:55:01,160
Speaker 1: There you are and you're are over just a little

1119
00:55:01,160 --> 00:55:03,080
Speaker 1: so they can't get through. Yeah. And then there are

1120
00:55:03,080 --> 00:55:05,719
Speaker 1: other times when I see the cutters come through, watch

1121
00:55:05,840 --> 00:55:07,759
Speaker 1: me like I'll throw them open my doors like I

1122
00:55:07,880 --> 00:55:09,239
Speaker 1: used to do so I would do some shit like

1123
00:55:09,360 --> 00:55:11,920
Speaker 1: that to stop somebody from cutting. I've since moved on

1124
00:55:12,120 --> 00:55:16,919
Speaker 1: with h and I've learned that I cannot control those things.

1125
00:55:17,000 --> 00:55:19,080
Speaker 1: And to think that me cutting that person off will

1126
00:55:19,160 --> 00:55:21,360
Speaker 1: change that for the entire world is an act of futility.

1127
00:55:21,600 --> 00:55:23,520
Speaker 1: But you know what, doctor James, I'll do whatever the

1128
00:55:23,560 --> 00:55:25,239
Speaker 1: fuck I want to, Okay, because sometimes I'm in a

1129
00:55:25,280 --> 00:55:28,879
Speaker 1: bad mood. That's but that's it. It's cutting is why.

1130
00:55:29,000 --> 00:55:32,040
Speaker 1: It's it's whatever energy you see someone cutting in line

1131
00:55:32,080 --> 00:55:34,480
Speaker 1: just because the line isn't physically there in a plane,

1132
00:55:34,640 --> 00:55:37,160
Speaker 1: there is a line. I think we all hate cutters,

1133
00:55:37,640 --> 00:55:41,280
Speaker 1: right yeah, and built from us. Okay, yeah, fuck a cutter,

1134
00:55:41,480 --> 00:55:43,879
Speaker 1: like because that's like, yo, no cutting. I mean there's

1135
00:55:43,880 --> 00:55:45,840
Speaker 1: even like the you know, chat and Cut episode of

1136
00:55:45,920 --> 00:55:48,680
Speaker 1: Curve where it's like we're just like yo, bro, it's

1137
00:55:48,719 --> 00:55:50,680
Speaker 1: like cutting to what you know. It's like cutting to

1138
00:55:50,760 --> 00:55:53,400
Speaker 1: just get off the plane like thirty seconds before somebody

1139
00:55:53,440 --> 00:55:55,799
Speaker 1: else like it. It's almost sort of pointless. I don't care,

1140
00:55:55,920 --> 00:55:57,680
Speaker 1: Like it's not a big deal to me, but it's

1141
00:55:57,680 --> 00:55:58,920
Speaker 1: sort of like what are you getting up for? We're

1142
00:55:58,960 --> 00:56:00,879
Speaker 1: all like, like I said, you've been on the plane

1143
00:56:00,920 --> 00:56:03,840
Speaker 1: for two hours. You can't wait for more minute. My

1144
00:56:03,960 --> 00:56:06,680
Speaker 1: favorite is like the Cutters, when like they call people

1145
00:56:06,719 --> 00:56:09,200
Speaker 1: like Okay, now we're boarding a group one, or like

1146
00:56:09,280 --> 00:56:11,719
Speaker 1: we're about to be up whatever group, And like I

1147
00:56:11,880 --> 00:56:13,520
Speaker 1: used to have, like when I was fine a lot more,

1148
00:56:13,560 --> 00:56:14,960
Speaker 1: I used to have like status that I would get

1149
00:56:14,960 --> 00:56:18,279
Speaker 1: in group one all the time. And I remember band

1150
00:56:18,320 --> 00:56:20,680
Speaker 1: getting up. This fucking white guy's older white guy. He

1151
00:56:20,800 --> 00:56:22,680
Speaker 1: pulled up and he's like, uh, He's like, I think

1152
00:56:22,719 --> 00:56:24,880
Speaker 1: group one's you know, about to board. He's like, so

1153
00:56:25,080 --> 00:56:26,520
Speaker 1: you know, it's a group two. And I was like,

1154
00:56:26,880 --> 00:56:28,680
Speaker 1: I put on my boarding pass and I just went,

1155
00:56:29,000 --> 00:56:31,600
Speaker 1: I think you're in the wrong place. And I was

1156
00:56:31,600 --> 00:56:34,279
Speaker 1: just like, see this people cutter motherfucker's like you. Plus

1157
00:56:34,320 --> 00:56:36,680
Speaker 1: you're a little assumption that I'm not again, like I'm

1158
00:56:36,680 --> 00:56:40,759
Speaker 1: not doing all this fucking business travel too. I maybe

1159
00:56:40,880 --> 00:56:43,160
Speaker 1: that's it. It's it's that this this to me has

1160
00:56:43,200 --> 00:56:46,040
Speaker 1: grown not out of a principle, but out of the

1161
00:56:46,600 --> 00:56:49,840
Speaker 1: reality of who actually does this shit, because it's so

1162
00:56:50,200 --> 00:56:53,520
Speaker 1: often white guys that I just hate them so much.

1163
00:56:54,320 --> 00:56:58,239
Speaker 1: So I'm like, all I can do is stymy them, right,

1164
00:56:58,719 --> 00:57:02,000
Speaker 1: and that is my act of whatever. But it takes

1165
00:57:02,200 --> 00:57:04,200
Speaker 1: that's how you bring balance to the universe. Yeah, but

1166
00:57:04,280 --> 00:57:06,719
Speaker 1: it takes a higher cost on me as you could tell,

1167
00:57:07,040 --> 00:57:10,120
Speaker 1: yeah that it brings any joy or that's the hard

1168
00:57:10,160 --> 00:57:12,719
Speaker 1: thing about being the rule enforcer. I feel like it's like, yeah,

1169
00:57:12,760 --> 00:57:14,759
Speaker 1: you're you're trying to bring justice to the universe, but

1170
00:57:14,840 --> 00:57:17,919
Speaker 1: these guys don't give a shit exacting a higher toll

1171
00:57:18,000 --> 00:57:20,120
Speaker 1: on you. Yeah, they could ever care to even think

1172
00:57:20,120 --> 00:57:23,040
Speaker 1: about it, Like what's your problem, pal? Yeah, yeah, all

1173
00:57:23,120 --> 00:57:27,200
Speaker 1: right pal, and then cares a line. Yeah, And then

1174
00:57:27,400 --> 00:57:30,160
Speaker 1: I think the whole plane starts cheering and they're like,

1175
00:57:30,280 --> 00:57:34,040
Speaker 1: actually you get on Andrew. Yeah, they actually carry you

1176
00:57:34,280 --> 00:57:36,520
Speaker 1: overhead and just be like like a mosh pit and

1177
00:57:36,600 --> 00:57:38,320
Speaker 1: bring you to the front plane. No, they carry me

1178
00:57:38,400 --> 00:57:40,400
Speaker 1: overhead and it turns out there's a secret door out

1179
00:57:40,440 --> 00:57:44,080
Speaker 1: of that din, which is right. But then but then

1180
00:57:44,160 --> 00:57:46,640
Speaker 1: after this like roided out like Maga dude like beats

1181
00:57:46,680 --> 00:57:48,200
Speaker 1: the shit out of you. Like they look like that

1182
00:57:48,320 --> 00:57:51,120
Speaker 1: scene as Spider Man where they're carrying and trained carefully.

1183
00:57:51,440 --> 00:57:56,240
Speaker 1: He's a hero. I wasn't picturing I roided out, magadude.

1184
00:57:56,280 --> 00:57:58,120
Speaker 1: I'm just picturing a guy in like a polo shirt

1185
00:57:58,160 --> 00:58:00,400
Speaker 1: and khakis, because that's usually who it is, right, well,

1186
00:58:00,440 --> 00:58:02,720
Speaker 1: that's who I see Andrew also being like, you know, what, oh,

1187
00:58:02,840 --> 00:58:06,560
Speaker 1: I could really turn up with this motherfucker. Unfortunately it's

1188
00:58:06,600 --> 00:58:11,120
Speaker 1: anyone well good to know, good to know, ah Man,

1189
00:58:11,280 --> 00:58:13,640
Speaker 1: Doug Gordon, thank you so much for joining us on

1190
00:58:13,720 --> 00:58:16,240
Speaker 1: the Daily Zeitgeist today and it was an absolute pleasure.

1191
00:58:16,840 --> 00:58:19,240
Speaker 1: Where can people find you? Follow you and more importantly

1192
00:58:19,320 --> 00:58:21,760
Speaker 1: check out the podcast. Yeah, so we're the War on Cars.

1193
00:58:21,800 --> 00:58:23,480
Speaker 1: You can go to the War on Cars dot org.

1194
00:58:24,040 --> 00:58:27,880
Speaker 1: We are available wherever people get podcasts, you know, Apple podcasts,

1195
00:58:27,880 --> 00:58:30,520
Speaker 1: all the different apps, and you can find us on

1196
00:58:30,680 --> 00:58:34,440
Speaker 1: social media Instagram, Twitter at the War on Cars fantastic.

1197
00:58:34,600 --> 00:58:36,760
Speaker 1: Is there a work of social media or tweet or

1198
00:58:36,800 --> 00:58:38,400
Speaker 1: something that you've been liking you want to shout out?

1199
00:58:39,000 --> 00:58:41,360
Speaker 1: Oh man. So there was a tweet by this radio

1200
00:58:41,480 --> 00:58:45,400
Speaker 1: host in Vancouver, Jill Bennett. It was a picture of

1201
00:58:45,440 --> 00:58:49,000
Speaker 1: a Dodge Durango. It was stuck on this yellow concrete

1202
00:58:49,440 --> 00:58:51,640
Speaker 1: barriers called a banana barrier if you want to get

1203
00:58:51,680 --> 00:58:54,880
Speaker 1: really like technical, meant to slow down drivers as they

1204
00:58:54,920 --> 00:58:58,200
Speaker 1: approach intersections. And there was this Dodge just stuck on top.

1205
00:58:58,240 --> 00:59:02,520
Speaker 1: And she tweeted, hey, at City of Vancouver, this is

1206
00:59:02,600 --> 00:59:06,040
Speaker 1: the second incident I've seen caused by these useless slow streets.

1207
00:59:06,200 --> 00:59:09,400
Speaker 1: But it quotes around it. Barricades installed last month. They

1208
00:59:09,440 --> 00:59:13,120
Speaker 1: don't slow down traffic. They caused crashes and traffic chaos,

1209
00:59:13,840 --> 00:59:17,480
Speaker 1: and she got ratioed like seven million views on this

1210
00:59:17,560 --> 00:59:20,760
Speaker 1: tweet twenty seven hunt tweets, I think like seven thousand

1211
00:59:20,800 --> 00:59:24,040
Speaker 1: replies or something. It's, yeah, it's so clear what this

1212
00:59:24,200 --> 00:59:29,320
Speaker 1: is meant to do, which is like slow in bright yellow.

1213
00:59:29,760 --> 00:59:31,800
Speaker 1: But it's like, what the fuck. Well, if you think

1214
00:59:31,800 --> 00:59:35,360
Speaker 1: your Durango is a fucking skateboard like Coston and you're

1215
00:59:35,360 --> 00:59:38,120
Speaker 1: trying to board slide down that ship, it's clearly ad

1216
00:59:38,160 --> 00:59:41,280
Speaker 1: meant to funnel you, so you drive slower, not fucking

1217
00:59:41,400 --> 00:59:43,760
Speaker 1: d And the fact that it was a Dodge Durango,

1218
00:59:43,880 --> 00:59:46,120
Speaker 1: this thing that's advertised for people to go like off

1219
00:59:46,200 --> 00:59:48,320
Speaker 1: roading and forty rivers and things like that, and you

1220
00:59:48,360 --> 00:59:52,200
Speaker 1: couldn't even navigate around like a simple bright yellow traffic barrier.

1221
00:59:52,520 --> 00:59:54,960
Speaker 1: It was just like the chef's kiss of bad tweets.

1222
00:59:55,360 --> 00:59:58,920
Speaker 1: I would love if that was Jill Bennett's car. Yeah, no,

1223
01:00:01,280 --> 01:00:06,000
Speaker 1: this is this is absurd people, there are these poor victims. Yeah,

1224
01:00:06,200 --> 01:00:07,960
Speaker 1: I would love like a like if someone in the

1225
01:00:08,000 --> 01:00:10,280
Speaker 1: replies had a video of her doing it and then

1226
01:00:10,360 --> 01:00:12,760
Speaker 1: getting out all like frustrated and some like this you

1227
01:00:13,240 --> 01:00:17,040
Speaker 1: someone runs the plates. I'm like, yeah, yeah, yeah, Andrew,

1228
01:00:17,240 --> 01:00:20,320
Speaker 1: thank you again man for joining me guest hosting and

1229
01:00:20,440 --> 01:00:23,240
Speaker 1: bring in the magic where can people find you? And

1230
01:00:23,360 --> 01:00:26,720
Speaker 1: then with some tweets that you like, Oh, man, I think,

1231
01:00:26,720 --> 01:00:29,200
Speaker 1: as I said yesterday, you know, Tony and I have

1232
01:00:29,360 --> 01:00:32,160
Speaker 1: this uh, I don't know, premium service where we got

1233
01:00:32,200 --> 01:00:34,560
Speaker 1: all kinds of fun shows at optimal pods dot com.

1234
01:00:34,680 --> 01:00:38,439
Speaker 1: We're really enjoying that. And again you know, okay, get

1235
01:00:38,480 --> 01:00:40,200
Speaker 1: the subscribe to that because I'll probably be doing a

1236
01:00:40,280 --> 01:00:42,400
Speaker 1: lot more of that show what It's right for twenty

1237
01:00:42,440 --> 01:00:44,960
Speaker 1: three and coming soon. Yeah, exactly. Yeah, that's how you're

1238
01:00:45,000 --> 01:00:47,720
Speaker 1: gonna find out high to see you. That's a great podcast, dude,

1239
01:00:47,760 --> 01:00:50,160
Speaker 1: you sequenced the homies DNA and then have them on

1240
01:00:50,320 --> 01:00:52,840
Speaker 1: for the results. But I also have to make all

1241
01:00:52,880 --> 01:00:54,800
Speaker 1: kinds of excuses like okay, so I think I fucked

1242
01:00:54,840 --> 01:00:58,800
Speaker 1: this up, but yeah, here's what you think you're like, Dude,

1243
01:00:58,880 --> 01:01:03,160
Speaker 1: you're you're you're no man, You're completely I think I

1244
01:01:03,240 --> 01:01:06,960
Speaker 1: think you're you're Scandinavian. The quality will be low enough

1245
01:01:07,040 --> 01:01:11,760
Speaker 1: that I don't need to intentionally fun with them. My

1246
01:01:12,600 --> 01:01:14,440
Speaker 1: my social media. Tha, this is one of those like

1247
01:01:14,680 --> 01:01:17,800
Speaker 1: I just want to make sure I credit everyone, Yeah,

1248
01:01:17,880 --> 01:01:24,480
Speaker 1: because it's one of those tweets that is a TikTok.

1249
01:01:25,040 --> 01:01:28,120
Speaker 1: So the tweet I saw was from someone called black

1250
01:01:28,200 --> 01:01:30,480
Speaker 1: Boy Rites and it also has a one point two

1251
01:01:30,520 --> 01:01:36,080
Speaker 1: million views. But the TikTok is underscore fifty shades of

1252
01:01:36,440 --> 01:01:40,800
Speaker 1: k one okay, and it's a TikTok called pov if

1253
01:01:40,840 --> 01:01:44,320
Speaker 1: the country's had a meeting, and it's just very like this,

1254
01:01:44,520 --> 01:01:49,160
Speaker 1: like black Lady doing sort of like un but very

1255
01:01:49,280 --> 01:01:53,080
Speaker 1: black black TikTok in a way. It's very funny. I

1256
01:01:53,160 --> 01:01:55,880
Speaker 1: won't spoil it. And five people party feet but all right,

1257
01:01:55,920 --> 01:01:57,840
Speaker 1: well we'll have that piked off in the foot notes

1258
01:01:58,080 --> 01:02:01,760
Speaker 1: for people foot they are in trist Did you can

1259
01:02:01,800 --> 01:02:04,480
Speaker 1: find me at Miles of Gray on Twitter and Instagram.

1260
01:02:04,640 --> 01:02:07,360
Speaker 1: Check Jack and I out when he's around on miles

1261
01:02:07,400 --> 01:02:10,600
Speaker 1: and Jack got mad boosts h and also me on

1262
01:02:10,640 --> 01:02:13,320
Speaker 1: four twenty day Fiance with Sophia Alexandra. I think we're

1263
01:02:13,320 --> 01:02:15,520
Speaker 1: gonna be talking about love is blind, but I'm still like,

1264
01:02:15,880 --> 01:02:18,200
Speaker 1: I'm still getting back in the mix. This young baby ikin.

1265
01:02:18,840 --> 01:02:21,240
Speaker 1: Just give me a second before I need to take

1266
01:02:21,240 --> 01:02:23,600
Speaker 1: our breath before I get stupid high and watch reality

1267
01:02:23,640 --> 01:02:26,240
Speaker 1: TV and then comment on it on Twitch. Okay, please

1268
01:02:26,280 --> 01:02:28,800
Speaker 1: give me one moment. You can find us at Daily

1269
01:02:28,880 --> 01:02:30,960
Speaker 1: Zeitgeist on Twitter, at the Daily zeit Geist on Instagram.

1270
01:02:30,960 --> 01:02:32,960
Speaker 1: We got a Facebook fan pays website, dailiest guys dot

1271
01:02:33,000 --> 01:02:36,240
Speaker 1: com where post those episodes in the foot thank you,

1272
01:02:36,960 --> 01:02:39,440
Speaker 1: where you can check out all the articles we talked about,

1273
01:02:39,680 --> 01:02:42,000
Speaker 1: as well as the song that we are writing out on.

1274
01:02:42,160 --> 01:02:45,000
Speaker 1: I want to go out on this track by Shorey

1275
01:02:45,400 --> 01:02:48,680
Speaker 1: and Mick Jenkins and it's called tough Talk. I'm sure

1276
01:02:48,760 --> 01:02:51,880
Speaker 1: you know, I know. Justin's definitely suggested a few Mick

1277
01:02:51,960 --> 01:02:55,200
Speaker 1: Jenkins tracks in the past good MC and Shorey is

1278
01:02:55,360 --> 01:02:58,760
Speaker 1: the like a producer from Aurora, Colorado, so like they

1279
01:02:58,840 --> 01:03:00,840
Speaker 1: kind of teamed up on this track. It's pretty good, hope,

1280
01:03:00,880 --> 01:03:03,400
Speaker 1: tough Talk and it's about t U F F T

1281
01:03:03,560 --> 01:03:05,840
Speaker 1: A l K. So check that out if you want

1282
01:03:05,880 --> 01:03:09,160
Speaker 1: some new hip hop for your ears, that's gonna do

1283
01:03:09,200 --> 01:03:11,120
Speaker 1: it for us. Also, remember that this is a production

1284
01:03:11,120 --> 01:03:12,720
Speaker 1: of I Heart Radio, So for more podcasts, get the

1285
01:03:12,760 --> 01:03:15,480
Speaker 1: iHeartRadio app, Apple Podcasts wherever you get your shows and

1286
01:03:15,600 --> 01:03:17,440
Speaker 1: things like that. We'll be back later to tell you

1287
01:03:17,480 --> 01:03:19,919
Speaker 1: what's trending, and we'll be back later. Bye bye,