1
00:00:05,440 --> 00:00:08,400
Speaker 1: Wait, justin you were saying you watched sprint. Did you

2
00:00:08,400 --> 00:00:09,200
Speaker 1: watch that netflish?

3
00:00:09,200 --> 00:00:10,840
Speaker 2: I haven't seen it. I was just aware of it.

4
00:00:10,960 --> 00:00:14,400
Speaker 1: I'm just I saw receiver, I saw sprint. I saw

5
00:00:14,720 --> 00:00:20,440
Speaker 1: like golf, hot dog man, every single part of sports.

6
00:00:20,680 --> 00:00:23,440
Speaker 3: I know it good? Is it worth it?

7
00:00:23,440 --> 00:00:26,360
Speaker 2: It's sprint like enthralling because I find it. I think

8
00:00:26,440 --> 00:00:28,960
Speaker 2: the egos that are in F one, I find it

9
00:00:29,040 --> 00:00:32,760
Speaker 2: hard to have that like mapped on into other spaces.

10
00:00:32,880 --> 00:00:34,600
Speaker 1: Well, it's a little bit different because at the end

11
00:00:34,600 --> 00:00:37,640
Speaker 1: of the day, there is no car except your legs, right,

12
00:00:37,960 --> 00:00:39,879
Speaker 1: you know what I mean. And it's like the purest

13
00:00:39,920 --> 00:00:42,400
Speaker 1: form of like competition is like, all right, dude, who's

14
00:00:42,440 --> 00:00:45,800
Speaker 1: got better reflexes and stronger legs? And that is what

15
00:00:46,000 --> 00:00:50,080
Speaker 1: the Track and Field Association of America's tagline. There is

16
00:00:50,080 --> 00:00:51,720
Speaker 1: no car except your legs.

17
00:00:52,080 --> 00:00:55,040
Speaker 2: There is no car except your legs the US Olympic

18
00:00:55,160 --> 00:00:57,080
Speaker 2: and that is how I need them to make sense

19
00:00:57,120 --> 00:01:01,200
Speaker 2: of it too. There is no car, only your feet. Wait,

20
00:01:01,600 --> 00:01:04,200
Speaker 2: where's the car? That's what That's what I say as

21
00:01:04,200 --> 00:01:07,800
Speaker 2: I'm watching a two hundred meter yeah, getting away the blocks?

22
00:01:08,000 --> 00:01:12,160
Speaker 2: Yeah all right, yeah, runners on your marks? Oh, where's

23
00:01:12,160 --> 00:01:12,440
Speaker 2: my car?

24
00:01:12,720 --> 00:01:16,320
Speaker 1: Sorry, sorry, guys, I think you forgot where the car dude.

25
00:01:16,360 --> 00:01:18,280
Speaker 1: I'm telling you right now I'm gonna get smoked by

26
00:01:18,280 --> 00:01:19,720
Speaker 1: this dude unless I'm in a car.

27
00:01:19,920 --> 00:01:22,319
Speaker 3: So what are we doing? This isn't even fair. This

28
00:01:22,400 --> 00:01:23,080
Speaker 3: isn't even fair.

29
00:01:29,520 --> 00:01:32,880
Speaker 2: Hello the Internet, and welcome to season three, forty eight,

30
00:01:32,920 --> 00:01:38,320
Speaker 2: Episode two of day production of iHeartRadio. This is a

31
00:01:38,400 --> 00:01:41,440
Speaker 2: podcast where we take a deep dive into america share consciousness.

32
00:01:41,480 --> 00:01:45,559
Speaker 2: And it is Tuesday, July twenty third, twenty twenty four.

33
00:01:45,920 --> 00:01:47,320
Speaker 2: Oh of course.

34
00:01:47,440 --> 00:01:52,080
Speaker 1: There's some weird shit happening on July twenty third. It's

35
00:01:52,560 --> 00:01:56,520
Speaker 1: National Vanilla ice Cream Day. That's fine, National Lemon Day,

36
00:01:56,880 --> 00:02:02,640
Speaker 1: and also Gorgeous Grandma Day, so shout out.

37
00:02:02,640 --> 00:02:05,000
Speaker 2: I think it was written by somebody who was horny.

38
00:02:05,240 --> 00:02:07,160
Speaker 1: Unfortunately, all the gorgeous greats.

39
00:02:07,160 --> 00:02:07,360
Speaker 3: Look.

40
00:02:07,400 --> 00:02:09,799
Speaker 1: It's a day where we recognize all the women who

41
00:02:09,800 --> 00:02:13,239
Speaker 1: embrace the age of a grandma, whether they are grandmothers

42
00:02:13,360 --> 00:02:16,520
Speaker 1: or not. Gorgeous Grandma Day embraces and kourges to fund

43
00:02:16,520 --> 00:02:19,080
Speaker 1: their granny attitudes with a purpose and.

44
00:02:19,080 --> 00:02:24,520
Speaker 2: Stylet you gorgeous health out. You're like thiss bear with

45
00:02:24,600 --> 00:02:30,960
Speaker 2: these big fucking claws. Baby. I think swinger, I guess so, yeah,

46
00:02:31,000 --> 00:02:34,840
Speaker 2: all right. My name is Jack O'Brien aka Kama Kama

47
00:02:34,919 --> 00:02:39,760
Speaker 2: Kama Kamma Kamala is now in no longer Joe, no

48
00:02:39,840 --> 00:02:44,519
Speaker 2: longer Joe. Winning would be easy if your platform was

49
00:02:44,720 --> 00:02:51,080
Speaker 2: like my dreams, healthcare be free, healthcare be free. That

50
00:02:51,360 --> 00:02:56,760
Speaker 2: is courtesy of the Blake Rogers the Ohio State University. Also,

51
00:02:56,880 --> 00:03:02,400
Speaker 2: Halseion Salad took crack at a Kamala Karma came leon aka,

52
00:03:02,440 --> 00:03:04,440
Speaker 2: but I couldn't get the phrasing right on yours, even

53
00:03:04,480 --> 00:03:07,760
Speaker 2: though it was first. I'm so sorry, Helseion Salad. Shout

54
00:03:07,760 --> 00:03:10,880
Speaker 2: out to both of you, though, and shout out to

55
00:03:11,440 --> 00:03:14,640
Speaker 2: Kamala Kalala I donated to her.

56
00:03:14,919 --> 00:03:16,440
Speaker 4: Don't like you see this.

57
00:03:16,800 --> 00:03:20,720
Speaker 2: I'm thrilled to be joined as always by my co host,

58
00:03:20,800 --> 00:03:23,560
Speaker 2: mister Miles Gras Oh Man.

59
00:03:23,480 --> 00:03:27,560
Speaker 1: It's Miles Great aka one two threes, It's Miles Gray

60
00:03:28,040 --> 00:03:31,640
Speaker 1: jacko b ee. We look at hummingbirds and cast pod

61
00:03:32,240 --> 00:03:36,520
Speaker 1: music explodes when Jack takes off. Wido, I said one

62
00:03:36,600 --> 00:03:37,920
Speaker 1: two threes.

63
00:03:37,760 --> 00:03:41,760
Speaker 5: Likeitgeist legs are plumperly ee, our pants rip at just

64
00:03:41,840 --> 00:03:44,720
Speaker 5: the side of our quads. Boost it up to dunk

65
00:03:44,760 --> 00:03:48,360
Speaker 5: sick lobs ale that's also a House.

66
00:03:48,440 --> 00:03:52,560
Speaker 1: On Salad Carter, shout out to you, House Sion got

67
00:03:52,640 --> 00:03:56,760
Speaker 1: on the board to split the Blake Rogers stealing on

68
00:03:56,760 --> 00:03:57,520
Speaker 1: on mind.

69
00:03:57,600 --> 00:03:59,120
Speaker 3: Doing your thing. Love to see it?

70
00:03:59,280 --> 00:04:00,880
Speaker 2: You do love to see it, Miles, And you know

71
00:04:00,920 --> 00:04:03,120
Speaker 2: what else you love to see? Tell me is when

72
00:04:03,160 --> 00:04:07,560
Speaker 2: we can have this guest on. A best selling author

73
00:04:07,600 --> 00:04:10,800
Speaker 2: of books like John Dies at the End, Zoe Punches

74
00:04:10,840 --> 00:04:13,720
Speaker 2: the Future, and the Dick and the new standalone novel

75
00:04:14,040 --> 00:04:17,120
Speaker 2: which you can pre order now. I guess can I

76
00:04:17,120 --> 00:04:19,240
Speaker 2: say it's a standalone? I mean, it's not part of

77
00:04:19,279 --> 00:04:22,360
Speaker 2: a previous franchise, but it's one that I wouldn't mind

78
00:04:22,360 --> 00:04:26,359
Speaker 2: seeing a sequel to or more from. These characters. Also

79
00:04:26,400 --> 00:04:29,400
Speaker 2: one of the hosts of the podcast Big Feats, which,

80
00:04:29,480 --> 00:04:33,839
Speaker 2: if I'm reading this New Yorker review correctly, is quote

81
00:04:33,960 --> 00:04:38,560
Speaker 2: the only Mountain Monsters podcast officially endorsed by Big Feet.

82
00:04:39,279 --> 00:04:42,680
Speaker 2: He's my former coworker at Crack dot com, a co

83
00:04:42,760 --> 00:04:45,760
Speaker 2: creator of the Cracked podcast. Welcome back to the show,

84
00:04:46,080 --> 00:04:49,400
Speaker 2: Jason Parja.

85
00:04:49,520 --> 00:04:52,400
Speaker 4: First of all, I'm not dying. Don't tell the papers

86
00:04:52,400 --> 00:04:55,599
Speaker 4: that I'm dying. If I start coughing in the middle

87
00:04:55,640 --> 00:04:57,760
Speaker 4: of the show, I realize it in a movie or

88
00:04:57,839 --> 00:05:00,800
Speaker 4: TV show drama, if a character starts coffing that means

89
00:05:00,800 --> 00:05:01,440
Speaker 4: are going to die.

90
00:05:01,640 --> 00:05:04,520
Speaker 2: You did just pull back the napkin that you coughed into.

91
00:05:04,400 --> 00:05:10,600
Speaker 4: It and then just then quietly, quietly hid it from you.

92
00:05:09,880 --> 00:05:12,840
Speaker 2: Yeah, you looked around, your eyes darted back and forth,

93
00:05:12,880 --> 00:05:15,440
Speaker 2: and then you tucked it into your waistband for some reason.

94
00:05:16,920 --> 00:05:18,919
Speaker 4: But no, I'm just recovering from a cold. If I

95
00:05:19,000 --> 00:05:21,839
Speaker 4: start clearing my throat, I am not trying to get

96
00:05:21,839 --> 00:05:24,520
Speaker 4: their attention and demand that they let me talk. I

97
00:05:24,520 --> 00:05:27,920
Speaker 4: am trying to clear because from my throat, just.

98
00:05:27,880 --> 00:05:32,960
Speaker 2: The way that you do it tends to be at hem. Uh. Yeah,

99
00:05:33,160 --> 00:05:36,080
Speaker 2: but that's all right. We'll just power through like we

100
00:05:36,160 --> 00:05:37,279
Speaker 2: do all the time.

101
00:05:37,480 --> 00:05:39,599
Speaker 1: Yeah, if we see if we hear that horn take

102
00:05:39,640 --> 00:05:41,520
Speaker 1: at the top, we know you're not doing a DJ cool.

103
00:05:41,640 --> 00:05:43,359
Speaker 3: Let me clear my throat either.

104
00:05:48,360 --> 00:05:50,799
Speaker 2: How are you doing. We're excited to have you back.

105
00:05:51,040 --> 00:05:54,200
Speaker 2: I'm excited about this new novel, which I blew through

106
00:05:54,240 --> 00:05:57,080
Speaker 2: in a single weekend. It's it's a good one for

107
00:05:57,200 --> 00:06:00,600
Speaker 2: fans of Jason Parging novels. I think they're really going

108
00:06:00,640 --> 00:06:04,240
Speaker 2: to enjoy it. But it's probably a distant like writing

109
00:06:04,240 --> 00:06:06,320
Speaker 2: it was probably a distant memory to you at this point.

110
00:06:06,440 --> 00:06:09,200
Speaker 2: How long ago is that writing it?

111
00:06:09,279 --> 00:06:11,680
Speaker 4: Yeah, but the dozens of interviews I'll have to give

112
00:06:11,680 --> 00:06:13,520
Speaker 4: about it means I have to keep in mind what

113
00:06:13,680 --> 00:06:16,599
Speaker 4: I wrote in it. But uh, for listeners who are

114
00:06:16,640 --> 00:06:20,320
Speaker 4: in the middle of the total world chaos, we're doing

115
00:06:20,360 --> 00:06:23,400
Speaker 4: a book review here. The book is relevant to what's yea,

116
00:06:23,560 --> 00:06:27,039
Speaker 4: to what's going on. I promise you you'll you'll see why.

117
00:06:27,040 --> 00:06:29,039
Speaker 4: And in fact, there's going to be at least one

118
00:06:29,200 --> 00:06:32,400
Speaker 4: very annoying review. I predicted a couple months it says, wow,

119
00:06:32,839 --> 00:06:36,160
Speaker 4: this is so precient. How if you predict that there

120
00:06:36,160 --> 00:06:38,440
Speaker 4: would be an event and it triggers all sorts of

121
00:06:38,480 --> 00:06:39,680
Speaker 4: misinformation and chaos?

122
00:06:40,080 --> 00:06:41,240
Speaker 3: Yeah, that was not hard.

123
00:06:41,320 --> 00:06:43,679
Speaker 2: Did you know that? That was my first question? Actually,

124
00:06:43,680 --> 00:06:44,160
Speaker 2: we can just.

125
00:06:47,000 --> 00:06:49,760
Speaker 4: I love seeing the people with the little screenshots of

126
00:06:49,800 --> 00:06:51,840
Speaker 4: the Simpsons from twenty years ago. It's like, Wow, they

127
00:06:51,880 --> 00:06:54,960
Speaker 4: predicted that elections would become stupid in the future.

128
00:06:55,760 --> 00:06:56,640
Speaker 3: Well, that's.

129
00:06:57,960 --> 00:07:01,000
Speaker 6: Not take nostrodamis the one recite briss Hill though, did

130
00:07:01,080 --> 00:07:05,360
Speaker 6: actually perform with the London Symphony. Oh really, you remember

131
00:07:05,400 --> 00:07:08,320
Speaker 6: the homer Fest thing. He's like someone ordered the London Symphony.

132
00:07:08,640 --> 00:07:10,760
Speaker 6: Did someone do it when they were high and forgotten

133
00:07:10,760 --> 00:07:12,600
Speaker 6: like Cypress Hills, Like, oh shit, did we do that?

134
00:07:12,840 --> 00:07:15,440
Speaker 1: And they're like, yeah, yeah, they're actually performing with them now,

135
00:07:15,480 --> 00:07:17,520
Speaker 1: and they're like, we kind of had an opportunity and

136
00:07:17,560 --> 00:07:19,520
Speaker 1: decided to make the Simpsons prediction.

137
00:07:19,640 --> 00:07:23,360
Speaker 2: Right, So, I mean you hear those violins on some

138
00:07:23,440 --> 00:07:26,040
Speaker 2: of the early Cypress Hill stuff, you can't, man, Yeah,

139
00:07:26,200 --> 00:07:29,360
Speaker 2: it was. It was inevitable, all right, Jason, Well, we

140
00:07:29,400 --> 00:07:32,200
Speaker 2: are going to talk about some of the ideas in

141
00:07:32,240 --> 00:07:36,400
Speaker 2: your book. I'm starting to worry about this black box

142
00:07:36,440 --> 00:07:36,920
Speaker 2: of doom?

143
00:07:37,280 --> 00:07:37,600
Speaker 3: Is that?

144
00:07:37,720 --> 00:07:39,240
Speaker 2: What did I say that?

145
00:07:39,360 --> 00:07:39,960
Speaker 3: Right? Yes?

146
00:07:43,200 --> 00:07:44,400
Speaker 2: Did I not say the title?

147
00:07:44,440 --> 00:07:44,960
Speaker 3: And the Well?

148
00:07:45,640 --> 00:07:51,360
Speaker 2: First, yeah, I'm a pro folks. But first we do

149
00:07:51,520 --> 00:07:53,680
Speaker 2: like to get to know our guests a little bit

150
00:07:53,720 --> 00:07:57,840
Speaker 2: better by asking you, what is something from your search

151
00:07:58,000 --> 00:08:00,480
Speaker 2: history that is revealing about who you are.

152
00:08:01,120 --> 00:08:03,200
Speaker 4: I have a whole series of searchers over the last

153
00:08:03,480 --> 00:08:06,520
Speaker 4: few days trying to figure out what CrowdStrike is, because

154
00:08:06,520 --> 00:08:09,000
Speaker 4: it turned out all of modern civilization ran on it

155
00:08:09,000 --> 00:08:10,920
Speaker 4: and I'd never heard of that company. It's an eighty

156
00:08:11,000 --> 00:08:15,040
Speaker 4: billion dollar company. Yeah apparently, yeah, and I still don't

157
00:08:15,080 --> 00:08:17,360
Speaker 4: know what it does. And this before the show I

158
00:08:17,400 --> 00:08:19,800
Speaker 4: tried to Google is the CrowdStrike thing over? Is that

159
00:08:19,840 --> 00:08:23,680
Speaker 4: old news or flight still grounded around the world. I

160
00:08:23,720 --> 00:08:26,600
Speaker 4: can't tell because Google Search is broken, so I don't

161
00:08:26,640 --> 00:08:29,800
Speaker 4: know any does anybody at home? No, email me let

162
00:08:29,840 --> 00:08:30,040
Speaker 4: me know.

163
00:08:31,560 --> 00:08:34,240
Speaker 2: Yeah, I think like that. It seems like there's still

164
00:08:34,280 --> 00:08:37,719
Speaker 2: reports of flights being fucked up, mainly like you have

165
00:08:37,800 --> 00:08:42,440
Speaker 2: to go to the like the markets to see you know,

166
00:08:42,559 --> 00:08:45,559
Speaker 2: like it's like people reporting on the financials and they'll

167
00:08:45,559 --> 00:08:49,240
Speaker 2: be like, yeah, our our reporting indicates because they have

168
00:08:49,320 --> 00:08:52,280
Speaker 2: to get that right because money is at stake. But

169
00:08:52,760 --> 00:08:55,959
Speaker 2: it does seem like it's taken a while to untangle

170
00:08:56,720 --> 00:09:00,360
Speaker 2: CrowdStrike and there it was just like an update eight

171
00:09:00,440 --> 00:09:04,079
Speaker 2: that was ill advised, and somehow that took became one

172
00:09:04,080 --> 00:09:09,280
Speaker 2: of the biggest technology fuck ups yet to this point

173
00:09:09,600 --> 00:09:13,240
Speaker 2: in human history. A company that sounds like just a

174
00:09:13,720 --> 00:09:15,480
Speaker 2: board game from the nineteen eighties.

175
00:09:15,960 --> 00:09:17,440
Speaker 3: Yeah, that would have been fun to play.

176
00:09:17,520 --> 00:09:21,480
Speaker 1: Yeah, from the makers of crossfires crowdstrikes. But CrowdStrike there's

177
00:09:21,679 --> 00:09:23,440
Speaker 1: I mean, like they're the stat that I saw that.

178
00:09:23,480 --> 00:09:26,240
Speaker 1: I was like, oh right, because everything's just consolidating. Is

179
00:09:26,400 --> 00:09:30,160
Speaker 1: like they handle like these it services for like five

180
00:09:30,280 --> 00:09:34,800
Speaker 1: hundred and thirty eight of the top one thousand companies. Yeah,

181
00:09:34,920 --> 00:09:37,800
Speaker 1: so like, yeah, that chunk of like that kind of

182
00:09:37,800 --> 00:09:41,280
Speaker 1: critical software going down, Yeah, will cause a lot of

183
00:09:41,360 --> 00:09:44,960
Speaker 1: chaos unless you unless you're like a Linux person, and

184
00:09:45,000 --> 00:09:47,559
Speaker 1: then which case you were fucking laughing because you're like, well,

185
00:09:47,600 --> 00:09:48,280
Speaker 1: I'm on Linux.

186
00:09:48,400 --> 00:09:48,800
Speaker 3: Fuck that.

187
00:09:49,000 --> 00:09:51,240
Speaker 4: I think it's the range of things that went down

188
00:09:51,240 --> 00:09:54,280
Speaker 4: to shocks people because it's like, okay, flights got grounded. Also,

189
00:09:54,440 --> 00:09:57,200
Speaker 4: when we tried to buy coffee at Starbucks, their point

190
00:09:57,240 --> 00:09:59,840
Speaker 4: of sale software was dead because of CrowdStrike, and then

191
00:09:59,840 --> 00:10:03,200
Speaker 4: all so it's like a whole range of things across

192
00:10:03,240 --> 00:10:05,960
Speaker 4: all society. Nine to one one service went down for

193
00:10:06,040 --> 00:10:06,760
Speaker 4: some people.

194
00:10:06,640 --> 00:10:07,120
Speaker 2: For a while.

195
00:10:07,200 --> 00:10:10,120
Speaker 4: Yeah, hospital, it's like, oh so this all runs. It's like, hey,

196
00:10:10,160 --> 00:10:12,839
Speaker 4: it all runs on a computer somewhere, and if those

197
00:10:12,880 --> 00:10:15,480
Speaker 4: computers are running Windows, and if they're using CrowdStrike to

198
00:10:15,520 --> 00:10:20,120
Speaker 4: do whatever CrowdStrike does, I apologize, audience, I still don't know. Then, Yeah,

199
00:10:20,160 --> 00:10:22,640
Speaker 4: they pushed out that updated brick the computer. They could

200
00:10:22,640 --> 00:10:24,760
Speaker 4: not simply push out another update because the only way

201
00:10:24,800 --> 00:10:27,680
Speaker 4: to fix it was to like manually install and delete

202
00:10:27,720 --> 00:10:30,040
Speaker 4: a file because your the computers were stuck in a

203
00:10:30,040 --> 00:10:32,280
Speaker 4: boot loop. Yea yeah, so they couldn't just push out

204
00:10:32,520 --> 00:10:36,280
Speaker 4: so yeah, but one I don't know, one string of

205
00:10:36,360 --> 00:10:39,760
Speaker 4: code crippled much of the world's economy instantly.

206
00:10:40,080 --> 00:10:43,720
Speaker 2: The solution was ultimately the solution to all type problems,

207
00:10:43,679 --> 00:10:46,400
Speaker 2: which is just like restart, throw another ground, yeah, throw

208
00:10:46,400 --> 00:10:47,000
Speaker 2: it the ground.

209
00:10:47,240 --> 00:10:49,080
Speaker 1: Well no, because like the one version was like you'd

210
00:10:49,080 --> 00:10:51,960
Speaker 1: have to go into every individual computer and like take

211
00:10:52,000 --> 00:10:53,600
Speaker 1: this file out, which is like.

212
00:10:53,520 --> 00:10:55,960
Speaker 3: We do oh yeah, like that's this.

213
00:10:56,080 --> 00:10:58,200
Speaker 1: You can't just do this over the waves, or at

214
00:10:58,240 --> 00:11:00,400
Speaker 1: least at the time I had last I was like

215
00:11:00,440 --> 00:11:02,800
Speaker 1: looking for videos. I'm like, please explain to me, like

216
00:11:03,320 --> 00:11:06,280
Speaker 1: I don't know what a computer is, what the fuck.

217
00:11:06,080 --> 00:11:08,880
Speaker 3: Is going on? And I still I came away with

218
00:11:08,920 --> 00:11:10,160
Speaker 3: a very vague understanding.

219
00:11:10,679 --> 00:11:13,800
Speaker 2: Yeah, but it does feel like this becomes more and

220
00:11:13,840 --> 00:11:17,120
Speaker 2: more possible the more we turn everything over to the

221
00:11:17,240 --> 00:11:21,840
Speaker 2: machines and we're just like, they got it. We don't

222
00:11:21,880 --> 00:11:26,359
Speaker 2: need humans on the ground doing you know, local deployments.

223
00:11:26,400 --> 00:11:30,120
Speaker 2: That then if those work get deployed two more places,

224
00:11:30,240 --> 00:11:32,920
Speaker 2: it's yeah or yeah, yeah, or shout out to the

225
00:11:33,440 --> 00:11:36,079
Speaker 2: I don't want to update my software crowd, because they

226
00:11:36,120 --> 00:11:41,000
Speaker 2: also may have like just inadvertently gotten around things too yeah,

227
00:11:41,440 --> 00:11:45,360
Speaker 2: some of the like anecdotal stuff I heard in the

228
00:11:45,400 --> 00:11:47,959
Speaker 2: early days was or in the early hours I guess

229
00:11:48,040 --> 00:11:52,720
Speaker 2: was that the airlines that were actually functioning were the

230
00:11:52,880 --> 00:11:56,240
Speaker 2: non major carriers, and so it could be a situation

231
00:11:56,240 --> 00:12:00,480
Speaker 2: where like CrowdStrike is the expensive, higher end option that

232
00:12:00,600 --> 00:12:03,720
Speaker 2: like sells for millions and millions of dollars that only

233
00:12:03,720 --> 00:12:09,240
Speaker 2: a major corporation can eat. And so they got fucked.

234
00:12:09,480 --> 00:12:12,840
Speaker 1: But oh yeah, our services we go through cloud clown.

235
00:12:13,400 --> 00:12:15,880
Speaker 3: I it's it's affordable.

236
00:12:16,160 --> 00:12:18,559
Speaker 1: But yeah, we don't have any problems.

237
00:12:18,360 --> 00:12:19,640
Speaker 4: It's the open source.

238
00:12:21,720 --> 00:12:22,400
Speaker 3: Cloud clown.

239
00:12:23,600 --> 00:12:25,720
Speaker 2: What's Jason, something you think is underrated?

240
00:12:26,520 --> 00:12:31,920
Speaker 4: How many world changing like mass shooters, terrorists, assassins just

241
00:12:31,960 --> 00:12:34,480
Speaker 4: want to be famous as opposed to having some kind

242
00:12:34,480 --> 00:12:38,760
Speaker 4: of ideology. Because we're now enough days past which I

243
00:12:38,800 --> 00:12:40,880
Speaker 4: don't know if you guys remember, but somebody almost killed

244
00:12:40,920 --> 00:12:43,679
Speaker 4: Donald Trump several days ago. I know this has been

245
00:12:43,800 --> 00:12:49,119
Speaker 4: long forgotten from the headlines, but that guy, Thomas Matthew Crooks.

246
00:12:49,480 --> 00:12:52,680
Speaker 4: By Now we're far enough along that the FBI, like

247
00:12:52,720 --> 00:12:55,320
Speaker 4: they you know, they cracked open his devices that day.

248
00:12:55,760 --> 00:12:57,640
Speaker 4: We're not far enough along by now we should have

249
00:12:57,720 --> 00:13:00,000
Speaker 4: his manifesto, we should have his social media, we should

250
00:13:00,080 --> 00:13:03,240
Speaker 4: have everything he had ever posted. I have no indication

251
00:13:03,320 --> 00:13:05,680
Speaker 4: that he cared much about politics at all. He had

252
00:13:06,040 --> 00:13:09,520
Speaker 4: on his phone, I guess photos and Internet searches for

253
00:13:09,720 --> 00:13:12,559
Speaker 4: various politicians, and that maybe that Trump was the one

254
00:13:12,600 --> 00:13:15,360
Speaker 4: that came closest to his house. Yeah, Like he literally

255
00:13:15,400 --> 00:13:17,920
Speaker 4: picked the one that was in driving distance because he

256
00:13:18,120 --> 00:13:22,160
Speaker 4: just wanted to go out with wanted the world to

257
00:13:22,240 --> 00:13:24,440
Speaker 4: know who he was, right, And I don't know if

258
00:13:24,480 --> 00:13:27,280
Speaker 4: that is a distinctly modern phenomenon, like you don't think

259
00:13:27,280 --> 00:13:31,240
Speaker 4: of like John Wilkes Booth trying to boost taking sales

260
00:13:31,280 --> 00:13:33,960
Speaker 4: to his next play. Like that was about Lincoln and

261
00:13:34,000 --> 00:13:37,240
Speaker 4: slavery and ideology. It wasn't just like, yeah, they'll know

262
00:13:37,320 --> 00:13:40,600
Speaker 4: my name after this. But these days, I don't know,

263
00:13:40,640 --> 00:13:42,440
Speaker 4: it seems like you see more of them where it's

264
00:13:42,559 --> 00:13:45,559
Speaker 4: just no, I want everybody to know my name. This

265
00:13:45,640 --> 00:13:48,200
Speaker 4: is this will be the mark I leave on the world.

266
00:13:48,760 --> 00:13:53,760
Speaker 2: Yeah right, Lee Harvey Oswald was also like this, like

267
00:13:53,800 --> 00:13:56,000
Speaker 2: to the degree that people still aren't sure that he

268
00:13:56,040 --> 00:13:57,920
Speaker 2: was trying to shoot Kennedy. He may have been trying

269
00:13:57,960 --> 00:14:00,560
Speaker 2: to shoot the governor. He had already like tried to

270
00:14:00,600 --> 00:14:05,559
Speaker 2: shoot a different Texas politician like weeks before or I

271
00:14:05,800 --> 00:14:09,720
Speaker 2: guess it was probably months before. And yeah, he didn't

272
00:14:09,760 --> 00:14:13,360
Speaker 2: appear to have any big ideological ideas other than that

273
00:14:13,520 --> 00:14:17,120
Speaker 2: like he should be famous and he was going to

274
00:14:17,200 --> 00:14:22,360
Speaker 2: do something big. So yeah, but it's it's hard to

275
00:14:22,440 --> 00:14:24,520
Speaker 2: get your mind around that. I mean, we have an

276
00:14:24,720 --> 00:14:28,240
Speaker 2: entire over you know, sixty years at this point of

277
00:14:28,560 --> 00:14:33,280
Speaker 2: Kennedy conspiracy theories that and I'm not like here to

278
00:14:33,320 --> 00:14:36,320
Speaker 2: say none of those are true or there's nothing suspicious

279
00:14:36,320 --> 00:14:42,840
Speaker 2: about that, but it is uniquely unsatisfying for people to hear.

280
00:14:43,280 --> 00:14:46,320
Speaker 2: Now it's just like some incompetence on the side of

281
00:14:46,320 --> 00:14:49,920
Speaker 2: security and something somebody who wanted to be really famous,

282
00:14:50,000 --> 00:14:52,680
Speaker 2: like school shooter when his search history is literally stuff

283
00:14:52,760 --> 00:14:57,120
Speaker 2: like Donald Trump's near me and like that seems to

284
00:14:57,160 --> 00:14:58,920
Speaker 2: be kind of like yeah, like he was looking at

285
00:14:58,920 --> 00:15:02,200
Speaker 2: it and into Google man and search Donald Trump Trump's

286
00:15:02,200 --> 00:15:04,080
Speaker 2: and then you looked at where all the flags were.

287
00:15:04,000 --> 00:15:07,360
Speaker 1: All right, Joe Biden's near me, Okay, on my way.

288
00:15:07,520 --> 00:15:09,960
Speaker 4: But I feel like we've had a number of mass

289
00:15:09,960 --> 00:15:12,520
Speaker 4: shooters in a row where when they tried to figure out, like, well,

290
00:15:12,560 --> 00:15:14,680
Speaker 4: why did he pick this as his target? What grievance

291
00:15:14,680 --> 00:15:17,239
Speaker 4: did he have and unless they were shooting up their workplaces,

292
00:15:17,280 --> 00:15:19,720
Speaker 4: just this is where they thought they could get the

293
00:15:19,800 --> 00:15:22,640
Speaker 4: high score. This was a place they that was easy

294
00:15:22,640 --> 00:15:24,680
Speaker 4: to get into and a lot of victims all packed,

295
00:15:24,720 --> 00:15:27,479
Speaker 4: you know, packed together in one spot, and that was it.

296
00:15:27,600 --> 00:15:30,680
Speaker 4: Just this is what we'll get my name. And ironically

297
00:15:30,720 --> 00:15:33,840
Speaker 4: I can't remember any of their names at this point.

298
00:15:33,960 --> 00:15:37,120
Speaker 1: Yeah, I had to look up Steven Paddock, the Vegas one,

299
00:15:37,120 --> 00:15:39,200
Speaker 1: because I remember that was another one where everyone was like,

300
00:15:39,240 --> 00:15:42,720
Speaker 1: what's what, What's what's going on? What was he trying

301
00:15:42,760 --> 00:15:43,160
Speaker 1: to say?

302
00:15:43,840 --> 00:15:46,360
Speaker 4: To this day, we don't know. He left nothing behind.

303
00:15:46,400 --> 00:15:48,000
Speaker 4: It's all we know is that he planned it for

304
00:15:48,080 --> 00:15:50,960
Speaker 4: like a year in advance. He looked at different targets.

305
00:15:51,400 --> 00:15:55,120
Speaker 4: And there's some that think he was mistreated by casino

306
00:15:55,240 --> 00:15:58,680
Speaker 4: staff or disrespected by the casino, like they weren't treating

307
00:15:58,760 --> 00:16:00,640
Speaker 4: him like the high Roll where he was decided to

308
00:16:01,880 --> 00:16:03,360
Speaker 4: try to kill hundreds of people.

309
00:16:04,200 --> 00:16:04,480
Speaker 3: I don't.

310
00:16:04,520 --> 00:16:07,440
Speaker 4: I'm not trying to make light of it. But every

311
00:16:07,440 --> 00:16:09,920
Speaker 4: time you look for some mission or it's like no,

312
00:16:10,000 --> 00:16:12,320
Speaker 4: because you want to be like a Batman villain, like

313
00:16:12,320 --> 00:16:15,440
Speaker 4: they've got an ideology. My job is to tear asunder

314
00:16:15,560 --> 00:16:18,600
Speaker 4: the fabric of society and the name of some you know,

315
00:16:18,640 --> 00:16:22,600
Speaker 4: stupid movement or whatever. So often it's just just rage

316
00:16:22,720 --> 00:16:26,560
Speaker 4: or frustration, or more likely just I'm not gonna get

317
00:16:26,600 --> 00:16:29,520
Speaker 4: famous doing anything else. I have no other skills. I've

318
00:16:29,560 --> 00:16:33,800
Speaker 4: tried going viral multiple times on when my wacky YouTube pranks.

319
00:16:33,840 --> 00:16:36,880
Speaker 4: Nobody cares. So this is the only thing left to me.

320
00:16:36,960 --> 00:16:39,000
Speaker 4: It's one thing that guarantees I'll get on the news.

321
00:16:39,000 --> 00:16:42,680
Speaker 4: But if they believe they'll be remembered by history, I mean,

322
00:16:42,720 --> 00:16:44,600
Speaker 4: I guess crooks would have been if that if that

323
00:16:44,680 --> 00:16:48,720
Speaker 4: shot had been a few inches the other direction. But uh, yeah, man,

324
00:16:48,760 --> 00:16:52,880
Speaker 4: that's nuts. That seems like a uniquely modern American sickness.

325
00:16:54,120 --> 00:16:56,960
Speaker 2: Yeah, what is something, Jason you think is overrated?

326
00:16:57,440 --> 00:17:01,200
Speaker 4: Apparently the resilience of the Internet, because those of you

327
00:17:01,240 --> 00:17:03,720
Speaker 4: who are not around. Back when they first invented the

328
00:17:03,720 --> 00:17:06,400
Speaker 4: Internet in the nineteen sixties in the Cold War era,

329
00:17:06,480 --> 00:17:09,240
Speaker 4: the entire concept was that you could it was supposed

330
00:17:09,280 --> 00:17:12,200
Speaker 4: to survive a nuclear war because all of the computers

331
00:17:12,200 --> 00:17:14,560
Speaker 4: are networked to each other. If you take out this half,

332
00:17:14,680 --> 00:17:17,760
Speaker 4: the other half continues working. So it was originally about

333
00:17:17,800 --> 00:17:21,960
Speaker 4: like how you can continue communicating after the system we've

334
00:17:21,960 --> 00:17:25,080
Speaker 4: built can go down. There are so many single points

335
00:17:25,119 --> 00:17:28,720
Speaker 4: of failure because people have largely forgotten. Like there was

336
00:17:28,760 --> 00:17:32,000
Speaker 4: the Nashville bombing in twenty twenty Christmas Day twenty twenty,

337
00:17:32,080 --> 00:17:33,919
Speaker 4: the guy blew up an RV that took out an

338
00:17:33,960 --> 00:17:37,520
Speaker 4: AT and T office. Yeah, and that's largely been forgotten.

339
00:17:37,560 --> 00:17:41,560
Speaker 4: That knocked out internet across parts of seven states. It

340
00:17:41,640 --> 00:17:44,360
Speaker 4: knocked out nine to one one and knocked out air

341
00:17:44,400 --> 00:17:47,920
Speaker 4: traffic control at one airport. It was that same thing

342
00:17:48,000 --> 00:17:49,640
Speaker 4: because it turned out it wasn't It was an AT

343
00:17:49,720 --> 00:17:52,359
Speaker 4: and T switching station missions that the other ISPs like

344
00:17:52,400 --> 00:17:56,000
Speaker 4: rented out to. So we had Verizon, our Verizon Internet

345
00:17:56,040 --> 00:17:59,720
Speaker 4: went down because they just So there's all these single

346
00:17:59,720 --> 00:18:01,639
Speaker 4: points of failure because you look at the map and

347
00:18:01,680 --> 00:18:03,320
Speaker 4: it's like, well now hold on. That kind of makes

348
00:18:03,320 --> 00:18:06,480
Speaker 4: it look like, with I don't know seven or eight bombs,

349
00:18:06,520 --> 00:18:10,359
Speaker 4: you could make the whole country go dark, right, Because

350
00:18:10,359 --> 00:18:11,719
Speaker 4: it took them a while to get it back up.

351
00:18:11,760 --> 00:18:13,639
Speaker 4: It was not as easy as just re routing the

352
00:18:13,640 --> 00:18:16,640
Speaker 4: traffic elsewhere. They had to like get generators and bring

353
00:18:16,680 --> 00:18:19,159
Speaker 4: them into the building and try to fire up the

354
00:18:19,200 --> 00:18:22,320
Speaker 4: servers from within the rubble to try to get people

355
00:18:22,320 --> 00:18:25,560
Speaker 4: connected again. It just seems like such a fragile system,

356
00:18:25,600 --> 00:18:28,600
Speaker 4: and this CrowdStrike thing is like far more widespread than that.

357
00:18:28,680 --> 00:18:32,080
Speaker 4: But they're all of these single points of failure, and

358
00:18:32,119 --> 00:18:37,320
Speaker 4: I'm surprised that's not a bigger complaint or priority or

359
00:18:37,359 --> 00:18:41,120
Speaker 4: that you don't hear more about why why are there

360
00:18:41,160 --> 00:18:44,040
Speaker 4: no why are there no backups? It's I mean, how

361
00:18:44,040 --> 00:18:47,159
Speaker 4: many thousands of flights got grounded by this thing? How

362
00:18:47,160 --> 00:18:50,400
Speaker 4: many people missed appointments and whatever.

363
00:18:50,880 --> 00:18:51,320
Speaker 3: I don't know.

364
00:18:51,880 --> 00:18:54,240
Speaker 4: It feels like there should be congressional hearings, and I

365
00:18:54,280 --> 00:18:55,800
Speaker 4: think if they do something like that, it would just

366
00:18:55,800 --> 00:18:57,320
Speaker 4: be for show where they get like the CEO of

367
00:18:57,320 --> 00:18:59,720
Speaker 4: CrowdStrike and they yell at them for a while and

368
00:18:59,760 --> 00:19:03,679
Speaker 4: then it's just it's like, yeah, but we all depend

369
00:19:03,720 --> 00:19:07,200
Speaker 4: on this. Everything we do depends in this. Hospitals could

370
00:19:07,240 --> 00:19:11,639
Speaker 4: not do surgeries because their system went down due to CrowdStrike. Like,

371
00:19:12,200 --> 00:19:15,120
Speaker 4: lives can be lost if something like this goes down

372
00:19:15,160 --> 00:19:17,080
Speaker 4: for a prolonged period of time, and it does not

373
00:19:17,200 --> 00:19:18,440
Speaker 4: seem like it takes much.

374
00:19:18,960 --> 00:19:21,160
Speaker 3: Yeah, yeah, it yeah.

375
00:19:21,280 --> 00:19:23,600
Speaker 1: You like to your point, you'd think there should be

376
00:19:23,640 --> 00:19:26,600
Speaker 1: some kind of like you know, inquest into understanding it's

377
00:19:26,600 --> 00:19:29,119
Speaker 1: like this is critical infrastructure, and is it just because

378
00:19:29,200 --> 00:19:32,120
Speaker 1: every company is like, well, I'm a Fortune one thousand company,

379
00:19:32,160 --> 00:19:34,479
Speaker 1: and all the other Fortune one thousand companies use this,

380
00:19:34,520 --> 00:19:36,280
Speaker 1: so I'm mindlessly just given by what do you do?

381
00:19:36,600 --> 00:19:37,720
Speaker 3: Yeah, we're doing that too.

382
00:19:38,640 --> 00:19:40,879
Speaker 1: I could you know, like some people pointed out, like

383
00:19:40,920 --> 00:19:44,240
Speaker 1: you could hire consultants to actually help sort of replace

384
00:19:44,280 --> 00:19:46,760
Speaker 1: what CrowdStrike would do. Again, this is from my very

385
00:19:46,760 --> 00:19:49,879
Speaker 1: cursory understanding, but there's just a momentum where like this

386
00:19:49,960 --> 00:19:52,560
Speaker 1: is just sort of seen as like the default company

387
00:19:52,600 --> 00:19:56,320
Speaker 1: to use and here we are, Yeah, people writing paper

388
00:19:56,320 --> 00:19:59,040
Speaker 1: tickets now for airlines. I saw that like in India

389
00:19:59,080 --> 00:20:00,879
Speaker 1: where they're just like writing it down to be like.

390
00:20:00,880 --> 00:20:02,240
Speaker 3: I don't know, man, we just have to go back

391
00:20:02,240 --> 00:20:03,560
Speaker 3: to full on analog.

392
00:20:03,960 --> 00:20:06,560
Speaker 2: It's like a bar fight where like the in the

393
00:20:06,800 --> 00:20:09,600
Speaker 2: in an eighteen hundreds movie where they have the tickets

394
00:20:09,600 --> 00:20:11,440
Speaker 2: and people are just running up and be like, oh.

395
00:20:14,480 --> 00:20:16,120
Speaker 3: Yes, exactly like a bar fight.

396
00:20:16,400 --> 00:20:19,760
Speaker 2: Yeah, it's troubling. It does seem like the sort of

397
00:20:19,800 --> 00:20:24,200
Speaker 2: thing that this version of capitalism is just uniquely bad

398
00:20:24,359 --> 00:20:28,639
Speaker 2: at a dressing right, Like it just feel feels like

399
00:20:28,800 --> 00:20:33,520
Speaker 2: when a problem happens, it's so quick to be onto

400
00:20:33,560 --> 00:20:36,600
Speaker 2: the next thing that there's not it's not a ton

401
00:20:36,840 --> 00:20:41,000
Speaker 2: of people, you know, including like the global financial meltdown

402
00:20:41,040 --> 00:20:43,720
Speaker 2: of like two thousand and eight, like that we still

403
00:20:43,760 --> 00:20:48,440
Speaker 2: haven't really solved or like that like addressed to any

404
00:20:48,720 --> 00:20:53,240
Speaker 2: real degree, like a lot of the problems that caused that, Yeah, we.

405
00:20:53,280 --> 00:20:55,919
Speaker 1: Just I guess it's well that people got bailouts that

406
00:20:56,000 --> 00:20:58,679
Speaker 1: needed them, you know, it's that financial mass, except for

407
00:20:58,720 --> 00:21:00,840
Speaker 1: like the people that you know, really like people that

408
00:21:00,880 --> 00:21:01,280
Speaker 1: needed them.

409
00:21:01,280 --> 00:21:02,040
Speaker 3: The companies did.

410
00:21:02,080 --> 00:21:05,040
Speaker 1: And I wonder if because of the actual amount of

411
00:21:05,160 --> 00:21:08,240
Speaker 1: losses that the airlines experience, they're like, Okay, we're not

412
00:21:08,320 --> 00:21:11,439
Speaker 1: doing this and like that was terrible, And I think

413
00:21:11,480 --> 00:21:12,840
Speaker 1: that would be the only way it is, like how

414
00:21:12,960 --> 00:21:15,080
Speaker 1: much of an effect it had on capital for there

415
00:21:15,160 --> 00:21:16,880
Speaker 1: to really be the kind of things you're like, well,

416
00:21:16,920 --> 00:21:20,800
Speaker 1: you fucked my money up, guys, So what's going on?

417
00:21:20,920 --> 00:21:22,119
Speaker 1: That's really the only question.

418
00:21:22,200 --> 00:21:24,439
Speaker 2: I think that It feels like we're like addicted to

419
00:21:24,520 --> 00:21:29,760
Speaker 2: the velocity of the emotion, you know, like the how

420
00:21:30,440 --> 00:21:34,640
Speaker 2: much it's causing, like how big the feelings are, how

421
00:21:34,640 --> 00:21:38,960
Speaker 2: big the story is more than anything that's like just

422
00:21:39,200 --> 00:21:41,280
Speaker 2: coherently thinking through it and being like, how do we

423
00:21:41,320 --> 00:21:45,240
Speaker 2: make this thing work the best? It's like people get

424
00:21:45,280 --> 00:21:48,640
Speaker 2: their charge out of the intensity of the story.

425
00:21:49,000 --> 00:21:52,359
Speaker 4: There were viral Twitter posts within hours talking about how

426
00:21:52,359 --> 00:21:55,080
Speaker 4: this had to be a DEI situation, how it had

427
00:21:55,119 --> 00:21:57,840
Speaker 4: to have been an employee who was not white who

428
00:21:57,880 --> 00:22:01,600
Speaker 4: was hired for DEI reasons because only that kind of mistake,

429
00:22:01,920 --> 00:22:04,280
Speaker 4: because you don't see white people making dumb mistakes like that.

430
00:22:05,080 --> 00:22:12,640
Speaker 2: Seen, yeah, name one. Yeah, all right, let's uh yeah.

431
00:22:12,680 --> 00:22:15,040
Speaker 2: So I mean that also makes sense that like people

432
00:22:15,440 --> 00:22:19,119
Speaker 2: are so loud attributing it to the exact wrong, wrong

433
00:22:19,240 --> 00:22:23,440
Speaker 2: things that it gets drowned out. So there's there's no

434
00:22:23,800 --> 00:22:29,000
Speaker 2: reason or no no real urge driver to get the

435
00:22:29,080 --> 00:22:32,119
Speaker 2: thing actually addressed in any real way. All right, well,

436
00:22:32,160 --> 00:22:34,600
Speaker 2: I think all of this ties into some of the

437
00:22:34,600 --> 00:22:36,800
Speaker 2: ideas in your books. So let's take a quick break

438
00:22:37,200 --> 00:22:40,000
Speaker 2: and we'll come back and get into it. We'll be

439
00:22:40,119 --> 00:22:54,600
Speaker 2: right back and we're back, and I mean just to

440
00:22:54,720 --> 00:23:00,360
Speaker 2: continue talking about the crowd strike outage, because that I

441
00:23:00,440 --> 00:23:05,440
Speaker 2: think is the most recent example that I've had of

442
00:23:06,040 --> 00:23:08,600
Speaker 2: this thinking. But I mean, first of all, I should say, you're,

443
00:23:08,920 --> 00:23:12,880
Speaker 2: like I said up top, the novel's very entertaining. It's

444
00:23:12,880 --> 00:23:15,240
Speaker 2: called I'm beginning to worry about this black box of doom.

445
00:23:15,720 --> 00:23:21,120
Speaker 2: It's packed with very interesting ideas, and among other things,

446
00:23:21,280 --> 00:23:28,080
Speaker 2: it's about how information stories evolve on the Internet, like

447
00:23:28,200 --> 00:23:33,679
Speaker 2: in real time, with people kind of focus grouping the

448
00:23:33,800 --> 00:23:39,600
Speaker 2: story and not really focusing on what is the truest

449
00:23:39,680 --> 00:23:43,560
Speaker 2: thing so much as what is the most entertaining thing

450
00:23:43,800 --> 00:23:48,080
Speaker 2: or the thing that most kind of rhymes with their

451
00:23:48,119 --> 00:23:54,680
Speaker 2: preconceived notions, and that whatever that is seems to gain

452
00:23:54,760 --> 00:23:59,359
Speaker 2: the most momentum as opposed to whatever the truest thing is.

453
00:23:59,880 --> 00:24:03,159
Speaker 2: I had an experience on Friday where I called a

454
00:24:03,200 --> 00:24:08,159
Speaker 2: friend whose work was being affected by the crowd strikeoutage,

455
00:24:08,320 --> 00:24:12,600
Speaker 2: and they were too busy to do the googling that

456
00:24:12,800 --> 00:24:15,080
Speaker 2: I had done because they were dealing with the crowd

457
00:24:15,160 --> 00:24:18,879
Speaker 2: strike outage. And they were like, I don't know, everyone

458
00:24:18,920 --> 00:24:21,919
Speaker 2: around here thinks it's probably some sort of cyber attack.

459
00:24:22,640 --> 00:24:28,200
Speaker 2: And I was like, well, so crowd strike themselves are

460
00:24:28,280 --> 00:24:36,000
Speaker 2: saying that it's not that it would be especially in

461
00:24:36,119 --> 00:24:41,560
Speaker 2: their interest, you know, to have it even seem like

462
00:24:41,600 --> 00:24:46,439
Speaker 2: it might not be their fault, and you know, just

463
00:24:46,480 --> 00:24:50,080
Speaker 2: went through the thinking of why it seems like it's

464
00:24:50,119 --> 00:24:55,600
Speaker 2: definitively just a fuck up on crowdstrikes part, and they

465
00:24:55,600 --> 00:25:00,840
Speaker 2: were like, I don't know, it's suspicious. I don't know.

466
00:25:00,920 --> 00:25:03,000
Speaker 2: I guess. I guess there's a reason the plot of

467
00:25:03,040 --> 00:25:07,720
Speaker 2: most Hollywood movies don't hinge on someone accidentally fucking up

468
00:25:08,119 --> 00:25:11,600
Speaker 2: or like vague incompetence or when that is the explanation,

469
00:25:11,720 --> 00:25:13,760
Speaker 2: like in Titanic, we need to like make up a

470
00:25:13,800 --> 00:25:18,520
Speaker 2: sneering rich guy who is like, I would rather kill

471
00:25:18,560 --> 00:25:21,639
Speaker 2: you than let you hang out with a poor person.

472
00:25:22,800 --> 00:25:25,399
Speaker 2: But yeah, so I don't know, is that, like, was

473
00:25:25,440 --> 00:25:29,080
Speaker 2: that explicitly an idea you had heading into the novel

474
00:25:29,160 --> 00:25:31,359
Speaker 2: or did it kind of come out and am I

475
00:25:31,400 --> 00:25:32,600
Speaker 2: getting any of that rate?

476
00:25:33,320 --> 00:25:36,280
Speaker 4: Yeah, so just for context, the setup of the book

477
00:25:36,440 --> 00:25:39,000
Speaker 4: I'm starting to worry about this black Box of Doom

478
00:25:39,160 --> 00:25:42,359
Speaker 4: is that there's on the first page there's a mysterious

479
00:25:42,359 --> 00:25:46,399
Speaker 4: woman who hires a driver who she's never met before. Says,

480
00:25:46,440 --> 00:25:48,240
Speaker 4: I want you to take me across the country, me

481
00:25:48,480 --> 00:25:52,760
Speaker 4: and this box. It's like a footlocker sized black box.

482
00:25:53,280 --> 00:25:56,320
Speaker 4: She says, I will pay you two hundred thousand dollars

483
00:25:56,359 --> 00:25:59,679
Speaker 4: in cash, but it has to be kept quiet and

484
00:25:59,720 --> 00:26:04,040
Speaker 4: you absolutely cannot look inside the box. So she needs

485
00:26:04,040 --> 00:26:06,439
Speaker 4: to be driven from southern California to Washington, d C.

486
00:26:07,080 --> 00:26:09,160
Speaker 4: She tells the guy, you can't tell anyone you're leaving.

487
00:26:09,200 --> 00:26:11,800
Speaker 4: You have to leave behind any devices that can be tracked.

488
00:26:11,800 --> 00:26:16,000
Speaker 4: No phone, no laptop, no GPS navigation. So why this

489
00:26:16,080 --> 00:26:18,479
Speaker 4: is relevant is that as soon as they start on

490
00:26:18,520 --> 00:26:22,440
Speaker 4: this trip, a rumor starts online among like true crime

491
00:26:22,520 --> 00:26:26,600
Speaker 4: types and just board people that this is a terrorist

492
00:26:26,680 --> 00:26:30,040
Speaker 4: attack because she's heading toward the capitol and that this

493
00:26:30,119 --> 00:26:34,040
Speaker 4: box is part of it. So specifically, there's a theory

494
00:26:34,040 --> 00:26:37,240
Speaker 4: that quickly goes around that this attack is carefully calculated

495
00:26:37,280 --> 00:26:40,720
Speaker 4: to plunge the country into a civil war by striking

496
00:26:40,760 --> 00:26:43,639
Speaker 4: it just the right way that will inflame people in

497
00:26:43,760 --> 00:26:46,880
Speaker 4: just the wrong way. So there's this ticking clock where

498
00:26:46,920 --> 00:26:49,720
Speaker 4: these strangers online have to try to coordinate to somehow

499
00:26:49,720 --> 00:26:52,680
Speaker 4: stop this thing before the vehicle reaches Washington, d C.

500
00:26:52,800 --> 00:26:55,919
Speaker 4: As it goes across the country. So as the story

501
00:26:56,000 --> 00:26:59,439
Speaker 4: unfolds and as this information kind of spreads across social

502
00:26:59,480 --> 00:27:04,879
Speaker 4: media and this horrible information ecosystem we've created in which

503
00:27:04,960 --> 00:27:10,600
Speaker 4: no facts can survive, that becomes the challenge because all

504
00:27:10,600 --> 00:27:15,679
Speaker 4: of the incentives pull people in directions other than the truth.

505
00:27:16,760 --> 00:27:19,320
Speaker 4: So the book is this is me having tried to

506
00:27:19,400 --> 00:27:22,600
Speaker 4: follow because I'm the most terminally online person you have

507
00:27:22,640 --> 00:27:26,359
Speaker 4: ever met. I've you know, going even before my crack days,

508
00:27:26,880 --> 00:27:29,680
Speaker 4: I was just on social media. I basically never close Twitter.

509
00:27:29,720 --> 00:27:32,720
Speaker 4: I've tried to track many, many, many news stories online

510
00:27:33,200 --> 00:27:35,119
Speaker 4: and I've watched this happen in front of me. So

511
00:27:35,600 --> 00:27:37,359
Speaker 4: if I can be said to be an expert in

512
00:27:37,440 --> 00:27:41,919
Speaker 4: any subject, it's this because it's always fascinating to see

513
00:27:42,160 --> 00:27:46,520
Speaker 4: how the human brain gravitates toward the most entertaining story

514
00:27:47,960 --> 00:27:52,199
Speaker 4: and not just what the what the facts seem to

515
00:27:52,200 --> 00:27:53,000
Speaker 4: be in front of them.

516
00:27:53,600 --> 00:27:56,800
Speaker 2: Yeah, it reminds me of when we've covered like fan

517
00:27:57,040 --> 00:28:00,359
Speaker 2: theories in the past, like how fan theory he's come

518
00:28:00,400 --> 00:28:02,920
Speaker 2: up with ideas of like what the plot should be

519
00:28:03,040 --> 00:28:04,960
Speaker 2: of the movie or with the plot like for the

520
00:28:05,000 --> 00:28:08,280
Speaker 2: sequel could be. It feels like exactly the same thing,

521
00:28:08,400 --> 00:28:11,240
Speaker 2: like where it's they're pretty good at like spinning a

522
00:28:11,320 --> 00:28:16,479
Speaker 2: pretty entertaining narrative, you know, like fan theories about movies

523
00:28:16,600 --> 00:28:21,280
Speaker 2: like why is Bella able to you know, be in

524
00:28:21,320 --> 00:28:24,239
Speaker 2: love with this vampire when she's allergic to them?

525
00:28:24,320 --> 00:28:25,560
Speaker 3: I don't know, and.

526
00:28:27,040 --> 00:28:30,080
Speaker 2: You know, like Twilight fan theories like get made up

527
00:28:30,080 --> 00:28:32,280
Speaker 2: this way and they're the internet is good at like

528
00:28:32,640 --> 00:28:36,000
Speaker 2: telling spinning a yarn, but unfortunately they do it with

529
00:28:36,280 --> 00:28:39,920
Speaker 2: the news and fun I.

530
00:28:39,800 --> 00:28:43,680
Speaker 1: Mean like yeah, you know Jason saying like watching story

531
00:28:43,720 --> 00:28:46,120
Speaker 1: after story like evolved on one way on the Internet

532
00:28:46,160 --> 00:28:48,520
Speaker 1: and then ultimately finding out the truth and being like, guys,

533
00:28:48,520 --> 00:28:51,240
Speaker 1: it wasn't it was not as you know, spectacular or

534
00:28:51,280 --> 00:28:54,080
Speaker 1: salacious as you thought it would be. Is that just

535
00:28:54,120 --> 00:28:56,120
Speaker 1: like do you see that as just like a factor

536
00:28:56,160 --> 00:28:59,120
Speaker 1: of like our boredom that would to make sense of

537
00:28:59,160 --> 00:28:59,600
Speaker 1: our world?

538
00:28:59,640 --> 00:29:00,760
Speaker 3: Like at times.

539
00:29:00,440 --> 00:29:03,680
Speaker 1: We were like we're yearning for something to like mimic

540
00:29:04,160 --> 00:29:07,000
Speaker 1: like the like drama or the narratives that we see

541
00:29:07,040 --> 00:29:09,520
Speaker 1: on TV. Or it's something to do with our powerlessness

542
00:29:09,680 --> 00:29:12,040
Speaker 1: or what is it that's so intoxicating about.

543
00:29:11,880 --> 00:29:12,960
Speaker 3: Doing the Yeah, I don't know.

544
00:29:12,960 --> 00:29:16,400
Speaker 1: I mean like like the Okham's razor explanation is this thing,

545
00:29:16,480 --> 00:29:20,640
Speaker 1: but I'm gonna go with alien conspiracy theory, hit job.

546
00:29:21,840 --> 00:29:24,440
Speaker 4: I just feel like the and this is not scientific.

547
00:29:24,480 --> 00:29:26,120
Speaker 4: I'm not a scientist. I feel like the part of

548
00:29:26,200 --> 00:29:29,840
Speaker 4: the brain that wants to be entertained and the part

549
00:29:29,880 --> 00:29:33,280
Speaker 4: of the brain that observes the world around you to

550
00:29:33,320 --> 00:29:37,120
Speaker 4: make decisions are two distinctly different things, because the part

551
00:29:37,160 --> 00:29:38,800
Speaker 4: of you that wants to be entertained is just we

552
00:29:38,920 --> 00:29:42,360
Speaker 4: have evolution, right. Due to evolution, we have a need

553
00:29:42,400 --> 00:29:45,560
Speaker 4: for novelty. We enjoy seeing new things, things we've never

554
00:29:45,600 --> 00:29:49,040
Speaker 4: seen before. It's hearing new things, so you know, we

555
00:29:49,080 --> 00:29:52,320
Speaker 4: have we like narratives, but those are things we seek

556
00:29:52,360 --> 00:29:59,360
Speaker 4: out to distract us from, like our miserable, mundane everyday lives. Ideally,

557
00:29:59,840 --> 00:30:02,000
Speaker 4: you you would not be using that part of your

558
00:30:02,040 --> 00:30:05,480
Speaker 4: brain to browse the news because the news should just

559
00:30:05,520 --> 00:30:09,640
Speaker 4: be Okay, I have to make decisions from my household.

560
00:30:10,120 --> 00:30:12,040
Speaker 4: Here's what I'm seeing on the news that's going to

561
00:30:12,080 --> 00:30:15,240
Speaker 4: tell me what decisions I need to make. But those

562
00:30:15,280 --> 00:30:18,840
Speaker 4: things have completely merged, and as there is more and

563
00:30:18,920 --> 00:30:22,960
Speaker 4: more media, the difference between is this person talking to me,

564
00:30:23,000 --> 00:30:24,800
Speaker 4: are they trying to entertain me? Or are they trying

565
00:30:24,840 --> 00:30:27,880
Speaker 4: to inform me? Gets bored and I realize I'm saying

566
00:30:27,920 --> 00:30:30,080
Speaker 4: that on a show where your guys' job is to

567
00:30:30,120 --> 00:30:32,960
Speaker 4: try to make the news entertaining, because that's a way

568
00:30:33,000 --> 00:30:36,640
Speaker 4: to engage people like this. This is good. We want people.

569
00:30:36,640 --> 00:30:39,120
Speaker 4: What John Oliver does is good because these people otherwise

570
00:30:39,160 --> 00:30:42,360
Speaker 4: maybe wouldn't care about politics, but he packages it in

571
00:30:42,400 --> 00:30:44,840
Speaker 4: a way that makes it fun to listen to and

572
00:30:44,880 --> 00:30:45,920
Speaker 4: kind of takes you through it.

573
00:30:46,680 --> 00:30:47,000
Speaker 3: Bitch.

574
00:30:47,440 --> 00:30:50,960
Speaker 4: The people doing that have to be very ethical about

575
00:30:51,000 --> 00:30:54,440
Speaker 4: how they do it, because otherwise, if you're Alex Jones,

576
00:30:54,880 --> 00:30:59,360
Speaker 4: if you're Alex Jones, it's very easy to just make

577
00:30:59,440 --> 00:31:03,160
Speaker 4: up a fix that is more fun than the truth.

578
00:31:03,320 --> 00:31:06,400
Speaker 4: For the same reason a candy bar tastes better than

579
00:31:06,800 --> 00:31:09,680
Speaker 4: an ear of corn, Like one of them was made

580
00:31:09,880 --> 00:31:12,640
Speaker 4: to be It's full of sugar and fat. It was

581
00:31:12,680 --> 00:31:14,560
Speaker 4: made to be addictive. The other one is something that

582
00:31:14,560 --> 00:31:18,240
Speaker 4: happens relatively naturally. So if you can make up stuff,

583
00:31:18,400 --> 00:31:22,040
Speaker 4: it's always going to win in terms of engagement because

584
00:31:22,040 --> 00:31:26,000
Speaker 4: you're not restrained by reality, and we do not. I

585
00:31:26,000 --> 00:31:31,240
Speaker 4: don't think our brains are very good at filtering the

586
00:31:31,360 --> 00:31:37,520
Speaker 4: fact from the more entertaining fiction, and the economic incentives

587
00:31:37,560 --> 00:31:40,800
Speaker 4: definitely are not set up to punish people who fail

588
00:31:40,880 --> 00:31:41,800
Speaker 4: to do it right.

589
00:31:42,440 --> 00:31:46,520
Speaker 2: Do you feel like there are trends that I think

590
00:31:46,520 --> 00:31:49,640
Speaker 2: this is something we tried to do at Cracked. Sometimes

591
00:31:49,800 --> 00:31:53,720
Speaker 2: is just in addition to debunking like myths that gets

592
00:31:53,720 --> 00:31:57,920
Speaker 2: spread around is like here are the types of lies

593
00:31:58,120 --> 00:32:02,520
Speaker 2: that our brain or the Internet tends to gravitate towards,

594
00:32:03,160 --> 00:32:07,840
Speaker 2: and it's you know, like one that I would say that,

595
00:32:08,160 --> 00:32:13,080
Speaker 2: you know, I feel like we're seeing this process of

596
00:32:13,160 --> 00:32:18,440
Speaker 2: like you know, internet focus grouping and writers rooming a

597
00:32:18,720 --> 00:32:23,160
Speaker 2: real event in real time with the attempted assassination of Trump,

598
00:32:23,360 --> 00:32:28,440
Speaker 2: as we've referred to. And I think one of the

599
00:32:28,440 --> 00:32:32,600
Speaker 2: themes that we're seeing there and also in the crowd

600
00:32:32,640 --> 00:32:36,880
Speaker 2: Strike story, is like people have a real aversion to

601
00:32:37,280 --> 00:32:43,440
Speaker 2: incompetence as being the explanation or you know, accident, somebody

602
00:32:43,440 --> 00:32:48,959
Speaker 2: fucking up. It's just not a satisfying plot point in

603
00:32:49,000 --> 00:32:54,640
Speaker 2: your movie, like if Diehard Hedge, just like the story

604
00:32:54,680 --> 00:32:59,640
Speaker 2: had resolved itself because the hacker had accidentally like detonated

605
00:32:59,800 --> 00:33:01,920
Speaker 2: of bunch of the bombs, well, the Hans Gruber was

606
00:33:01,960 --> 00:33:04,400
Speaker 2: on top of the you know, like something like that,

607
00:33:04,560 --> 00:33:07,560
Speaker 2: and then it's it's just a fuck up along the

608
00:33:07,600 --> 00:33:12,560
Speaker 2: way that doesn't happen. That doesn't happen in movies really

609
00:33:12,640 --> 00:33:17,240
Speaker 2: because it's not satisfying. The part of our brain that

610
00:33:17,280 --> 00:33:22,240
Speaker 2: craves novelty and like good storytelling resists that sort of thing.

611
00:33:22,560 --> 00:33:25,959
Speaker 2: And so I believe like that it's a bigger part

612
00:33:26,000 --> 00:33:29,720
Speaker 2: of the story of the JFK assassination then we tend

613
00:33:29,720 --> 00:33:32,640
Speaker 2: to think, and I think it's probably a bigger part

614
00:33:32,640 --> 00:33:39,440
Speaker 2: of the story of the Trump attempted assassination than some

615
00:33:39,520 --> 00:33:41,760
Speaker 2: people are willing to it. Like, I think it seems

616
00:33:41,800 --> 00:33:45,200
Speaker 2: to be pretty surface level that there is a fuck

617
00:33:45,280 --> 00:33:48,720
Speaker 2: up there, But are there other do you? First of all,

618
00:33:48,720 --> 00:33:50,440
Speaker 2: do you agree that that's a trend, And then are

619
00:33:50,480 --> 00:33:54,520
Speaker 2: there other kind of trends that you've noticed you as

620
00:33:54,560 --> 00:33:56,960
Speaker 2: you've kind of been studying the sort of the.

621
00:33:57,200 --> 00:34:01,280
Speaker 4: Well, yeah, that's misinformation, Like I get that part of

622
00:34:01,280 --> 00:34:05,120
Speaker 4: it is you just want to simplify the world. So,

623
00:34:05,280 --> 00:34:10,759
Speaker 4: for example, I have one extremely unpopular political opinion, which

624
00:34:10,800 --> 00:34:12,279
Speaker 4: is this is the perfect time to get it out

625
00:34:12,280 --> 00:34:14,000
Speaker 4: when you're trying to sell a book and you've got it,

626
00:34:15,760 --> 00:34:18,160
Speaker 4: which is that I think most of the world's problems,

627
00:34:18,160 --> 00:34:20,359
Speaker 4: most of the things that frustrate straight you in your life,

628
00:34:20,400 --> 00:34:24,399
Speaker 4: are not anybody's fault. I think the world's an imperfect place,

629
00:34:24,440 --> 00:34:26,400
Speaker 4: and I think it's hard to run a society in

630
00:34:26,440 --> 00:34:29,399
Speaker 4: a way that's perfectly fair to every single person. I think,

631
00:34:30,520 --> 00:34:34,040
Speaker 4: you know, it's lots of times when prices would go

632
00:34:34,200 --> 00:34:38,800
Speaker 4: up or whatever. It's not necessarily that some evil person

633
00:34:39,680 --> 00:34:45,600
Speaker 4: has a scheme. It's just it's market forces, and it's

634
00:34:45,640 --> 00:34:48,440
Speaker 4: a company that's trying to maximize the revenue because the

635
00:34:48,520 --> 00:34:51,600
Speaker 4: shareholders demanded, and like the blame for things spreads in

636
00:34:51,680 --> 00:34:54,800
Speaker 4: so many directions that it just kind of disappears because

637
00:34:54,840 --> 00:34:57,320
Speaker 4: it's just a system that we're all trying to survive

638
00:34:57,360 --> 00:35:01,040
Speaker 4: in and that is incredibly unsatisfied. We would love to

639
00:35:01,080 --> 00:35:03,799
Speaker 4: hear that there's a villain because in a movie, if

640
00:35:03,800 --> 00:35:05,239
Speaker 4: there's a problem like this, I don't know if you've

641
00:35:05,280 --> 00:35:08,759
Speaker 4: seen the Jason Statham film The Beekeeper.

642
00:35:10,480 --> 00:35:11,279
Speaker 2: A lot about it.

643
00:35:12,040 --> 00:35:16,000
Speaker 4: Yeah, it's a it's it's a great boomer fantasy of

644
00:35:17,120 --> 00:35:20,880
Speaker 4: like everything that is terrible about the world. Although he

645
00:35:20,960 --> 00:35:23,480
Speaker 4: going up to the president, there's like a cabal of

646
00:35:23,680 --> 00:35:27,920
Speaker 4: just cartoonishly evil people that if you could kill them,

647
00:35:28,840 --> 00:35:32,480
Speaker 4: the world would finally be at peace. And that's that's

648
00:35:32,600 --> 00:35:35,400
Speaker 4: very satisfying to think, because, yeah, every movie's got to

649
00:35:35,440 --> 00:35:39,440
Speaker 4: have a villain, a human villain that is causing the problems.

650
00:35:39,480 --> 00:35:41,400
Speaker 4: Like even a film like The Martian, which is supposed

651
00:35:41,400 --> 00:35:43,680
Speaker 4: to be all about like troubleshooting and smart people and

652
00:35:43,719 --> 00:35:46,720
Speaker 4: confidence porn, they still had to have like the villain character.

653
00:35:46,800 --> 00:35:50,680
Speaker 4: The one guy who refused to was like being obstinate

654
00:35:50,840 --> 00:35:53,040
Speaker 4: and say no to all of their plans because there's

655
00:35:53,080 --> 00:35:55,800
Speaker 4: got to be a bad guy. And this is something

656
00:35:55,800 --> 00:35:58,520
Speaker 4: that I think is true across the whole political spectrum.

657
00:35:58,560 --> 00:36:02,440
Speaker 4: Everybody wants there to be a bad guy, and not

658
00:36:02,920 --> 00:36:09,080
Speaker 4: just sometimes like but the pandemic, sometimes pandemics happened. We

659
00:36:09,680 --> 00:36:13,799
Speaker 4: exist in nature and we actually, I don't know, it's

660
00:36:13,880 --> 00:36:16,080
Speaker 4: I think most people did their best, and most people

661
00:36:16,160 --> 00:36:18,400
Speaker 4: didn't freak out, and most people did what they thought

662
00:36:18,440 --> 00:36:22,520
Speaker 4: was most reasonable. And I don't think we like that.

663
00:36:22,600 --> 00:36:25,120
Speaker 4: I think we like the thought of there being somebody

664
00:36:25,160 --> 00:36:27,040
Speaker 4: we can yell at and hate, and then if we

665
00:36:27,040 --> 00:36:29,279
Speaker 4: could get rid of them, everything would be fixed. That

666
00:36:29,320 --> 00:36:32,920
Speaker 4: seems to be to me the most common bias, which

667
00:36:32,960 --> 00:36:35,960
Speaker 4: is I want to believe that somewhere there is a person,

668
00:36:36,320 --> 00:36:38,759
Speaker 4: a bad person, who has caused this, because then I've

669
00:36:38,760 --> 00:36:40,759
Speaker 4: got an opponent, and then if we could defeat them,

670
00:36:40,760 --> 00:36:43,600
Speaker 4: everything would be fine. And most things in life are

671
00:36:43,640 --> 00:36:44,040
Speaker 4: not like.

672
00:36:44,040 --> 00:36:45,120
Speaker 3: That, I believe.

673
00:36:45,600 --> 00:36:48,960
Speaker 1: But in that version, does that sort of like absolve

674
00:36:49,040 --> 00:36:52,000
Speaker 1: people of any responsibility for what the actions of like

675
00:36:52,040 --> 00:36:54,600
Speaker 1: an organization that they come like, you know, are the

676
00:36:55,120 --> 00:36:57,480
Speaker 1: figurehead of or how do you look at like that

677
00:36:57,520 --> 00:36:59,520
Speaker 1: sort of piece of it, Like I get the sort

678
00:36:59,520 --> 00:37:02,000
Speaker 1: of our eur to be able to like say, this

679
00:37:02,120 --> 00:37:04,359
Speaker 1: is where it's all focused and that's like it's in

680
00:37:04,400 --> 00:37:07,160
Speaker 1: these four or five people kind of thing. But how like,

681
00:37:07,239 --> 00:37:09,840
Speaker 1: at what point is there Obviously there are systems that

682
00:37:10,200 --> 00:37:12,439
Speaker 1: have the lives of their own, but are you saying

683
00:37:12,480 --> 00:37:15,000
Speaker 1: that everyone is just completely powerless to those things or

684
00:37:15,200 --> 00:37:18,000
Speaker 1: nothing can be done or how do you square that part?

685
00:37:18,600 --> 00:37:20,560
Speaker 4: I think, for example, I could go on Reddit right

686
00:37:20,560 --> 00:37:22,640
Speaker 4: now and I could find memes talking about how the

687
00:37:22,680 --> 00:37:26,280
Speaker 4: boomers ruined the world, how the boomers when they were alive,

688
00:37:26,600 --> 00:37:31,240
Speaker 4: jobs were easy, lifetime employment, houses were cheap, they had everything,

689
00:37:31,280 --> 00:37:34,560
Speaker 4: and then they intentionally screwed over the next employee or

690
00:37:34,600 --> 00:37:37,160
Speaker 4: the next generation after them because they were so greedy

691
00:37:37,200 --> 00:37:41,640
Speaker 4: and so you know, sociopathic and narcissistic. If you could

692
00:37:41,680 --> 00:37:47,360
Speaker 4: actually grab a random.

693
00:37:45,960 --> 00:37:48,080
Speaker 2: When I keep hearing recently, if.

694
00:37:47,920 --> 00:37:50,400
Speaker 4: You could go grab a random boomer off the street

695
00:37:50,440 --> 00:37:52,600
Speaker 4: somebody in their seventies say hey, why do you ruin

696
00:37:52,640 --> 00:37:54,880
Speaker 4: the world. He's going to say, I worked out a

697
00:37:54,960 --> 00:37:58,160
Speaker 4: muffler shop for forty years. What are you talking about.

698
00:37:58,320 --> 00:38:01,239
Speaker 4: I don't even I rented for most of my life.

699
00:38:00,960 --> 00:38:04,239
Speaker 4: I got to take a vacation like once every five years.

700
00:38:04,239 --> 00:38:06,640
Speaker 4: What are you you're talking about? Like the CEOs and

701
00:38:06,680 --> 00:38:10,719
Speaker 4: the politicians, And it's like, no, we've now distilled all

702
00:38:10,760 --> 00:38:14,680
Speaker 4: of the boomers into like one evil person. And guess

703
00:38:14,680 --> 00:38:17,960
Speaker 4: what gang whatever generation you are, Like, let's say there's

704
00:38:18,000 --> 00:38:20,239
Speaker 4: some Gen Z kids listening to this a couple of

705
00:38:20,320 --> 00:38:22,520
Speaker 4: generations from now, they're going to blame you for what

706
00:38:22,560 --> 00:38:26,560
Speaker 4: happens with AI. And you're going to say, I didn't

707
00:38:26,560 --> 00:38:29,040
Speaker 4: do anything with AI. I thought it was stupid. I

708
00:38:29,120 --> 00:38:31,960
Speaker 4: barely used it. And the kids in the future can say, well,

709
00:38:31,960 --> 00:38:34,319
Speaker 4: why didn't you stop it? And you say, I don't

710
00:38:34,320 --> 00:38:36,560
Speaker 4: even know who who did it. I don't even know

711
00:38:36,560 --> 00:38:38,760
Speaker 4: who was in charge of it. Every company just started

712
00:38:38,880 --> 00:38:41,839
Speaker 4: doing AI and it suddenly there was AI and all

713
00:38:41,840 --> 00:38:44,320
Speaker 4: my devices, and they're gonna be like, well, why didn't you,

714
00:38:44,400 --> 00:38:46,040
Speaker 4: Why didn't you vote to stop it? Why didn't you

715
00:38:46,040 --> 00:38:48,399
Speaker 4: boycott those companies? Why didn't you? And you're gonna say,

716
00:38:48,719 --> 00:38:50,839
Speaker 4: I was just trying to live my freaking life. I

717
00:38:50,880 --> 00:38:53,120
Speaker 4: was trying to survive. No, I did not have time

718
00:38:53,480 --> 00:38:56,560
Speaker 4: to go firebomb a server farm where they were, where

719
00:38:56,560 --> 00:38:59,399
Speaker 4: they were operating chat GPT five. I was just trying

720
00:38:59,440 --> 00:39:01,880
Speaker 4: to And so what you find is you get that

721
00:39:01,920 --> 00:39:05,399
Speaker 4: same answer all the way up to the President saying, look,

722
00:39:05,440 --> 00:39:08,600
Speaker 4: I was voted. People voted for me to carry out

723
00:39:08,640 --> 00:39:10,600
Speaker 4: an agenda. They could have voted for somebody else. This

724
00:39:10,719 --> 00:39:12,799
Speaker 4: was the agenda. This is what I did. I did

725
00:39:12,840 --> 00:39:15,360
Speaker 4: what I thought was right. And this is the most

726
00:39:15,640 --> 00:39:19,200
Speaker 4: terrible truth that nobody likes to face, which is that

727
00:39:19,360 --> 00:39:24,239
Speaker 4: most people are doing their best, and the flaws that

728
00:39:24,360 --> 00:39:27,440
Speaker 4: happen are because you have different factions in society with

729
00:39:27,520 --> 00:39:31,640
Speaker 4: different interests. For example, like housing prices. Every time somebody

730
00:39:31,640 --> 00:39:33,800
Speaker 4: talks about why housing is so expensive, they want to

731
00:39:33,800 --> 00:39:37,000
Speaker 4: come up with this theory that like, there's like one

732
00:39:37,040 --> 00:39:39,600
Speaker 4: corporation is secretly buying up all the houses. It's like,

733
00:39:39,680 --> 00:39:42,680
Speaker 4: no that they may be doing that. The issue is

734
00:39:42,719 --> 00:39:45,719
Speaker 4: that half the country are already homeowners and they like

735
00:39:45,920 --> 00:39:49,000
Speaker 4: the fact that their house costs twice as much because

736
00:39:49,000 --> 00:39:53,440
Speaker 4: that's their retirement. It's not a secret cabal of guys

737
00:39:53,440 --> 00:39:56,200
Speaker 4: in a shadowy room. It's an entire section of the country,

738
00:39:56,200 --> 00:39:59,799
Speaker 4: and their interests are separate from yours, and they're not billionaires.

739
00:40:00,120 --> 00:40:03,400
Speaker 4: They're just retired dentists or whatever. It's like, well, no,

740
00:40:03,520 --> 00:40:05,880
Speaker 4: my entire retirement is based I'm going to sell this

741
00:40:05,920 --> 00:40:07,920
Speaker 4: house when I turn seventy. I'm gonna move to Florida

742
00:40:08,239 --> 00:40:10,840
Speaker 4: and rent a condo. But yes, the fact that my

743
00:40:10,880 --> 00:40:13,040
Speaker 4: house costs four hundred percent more than what it did

744
00:40:13,040 --> 00:40:15,920
Speaker 4: when I bought in nineteen ninety five, Like, no, I'm

745
00:40:16,000 --> 00:40:18,319
Speaker 4: I don't want housing prices to go down. This is

746
00:40:18,719 --> 00:40:21,840
Speaker 4: you know, this is my retirement right here. So there's

747
00:40:21,840 --> 00:40:24,719
Speaker 4: times when some people just want different things from you.

748
00:40:24,840 --> 00:40:27,400
Speaker 4: And if you're always trying to look for a specific

749
00:40:27,480 --> 00:40:31,120
Speaker 4: villain or a cabal or a conspiracy, you're going to

750
00:40:31,200 --> 00:40:34,240
Speaker 4: be disappointed more often than not. A lot of times

751
00:40:34,239 --> 00:40:37,279
Speaker 4: it's just people acting out of short term interests or

752
00:40:37,320 --> 00:40:40,920
Speaker 4: out of ignorance, or you know, they're just being oblivious.

753
00:40:41,440 --> 00:40:43,880
Speaker 1: Yeah, but is there I mean, yeah, I guess in

754
00:40:43,920 --> 00:40:46,239
Speaker 1: that's like that feels like sort of like a bleak war,

755
00:40:46,400 --> 00:40:50,800
Speaker 1: Like how in that instance, what how would we solve

756
00:40:50,880 --> 00:40:53,799
Speaker 1: things if we're willing to always say like, well, this

757
00:40:53,840 --> 00:40:55,600
Speaker 1: person is just trying to do the best, not that

758
00:40:55,680 --> 00:40:57,480
Speaker 1: I think, like I get the point about like trying

759
00:40:57,520 --> 00:41:00,319
Speaker 1: to find like this cabal or like darker angle to

760
00:41:00,440 --> 00:41:03,640
Speaker 1: explaining certain things like that, but does like at a

761
00:41:03,719 --> 00:41:06,440
Speaker 1: certain point, like if how would that world view, how

762
00:41:06,480 --> 00:41:10,319
Speaker 1: do we try to change things like from that perspective.

763
00:41:10,719 --> 00:41:13,480
Speaker 4: But things have changed. None of us would prefer to

764
00:41:13,520 --> 00:41:15,719
Speaker 4: go back and live in the year nineteen twenty four.

765
00:41:16,360 --> 00:41:18,279
Speaker 4: Think about what you lose if you go back. Think

766
00:41:18,280 --> 00:41:20,479
Speaker 4: about how many civil rights get rolled back. Think about

767
00:41:20,520 --> 00:41:23,120
Speaker 4: how much shorter people lived, how many more babies died

768
00:41:23,120 --> 00:41:26,560
Speaker 4: in childbirth, Think about how can much more contaminated the

769
00:41:26,600 --> 00:41:29,200
Speaker 4: food was back then, and how nobody had air conditioning,

770
00:41:29,440 --> 00:41:33,920
Speaker 4: Like we have improved the world immeasurably because while everybody

771
00:41:33,960 --> 00:41:36,880
Speaker 4: was yelling at each other, the normal people were just

772
00:41:36,960 --> 00:41:40,640
Speaker 4: out doing their jobs and building houses and building safer cars.

773
00:41:40,680 --> 00:41:44,120
Speaker 4: And there's bureaucrats that are just quietly passing, you know,

774
00:41:44,280 --> 00:41:48,680
Speaker 4: ordinances that make things slightly safer, and yeah, the you know,

775
00:41:49,320 --> 00:41:51,120
Speaker 4: none of us would go back and live one hundred

776
00:41:51,200 --> 00:41:53,799
Speaker 4: years ago. Things were worse by I think in every

777
00:41:53,800 --> 00:41:54,600
Speaker 4: possible measure.

778
00:41:55,160 --> 00:41:57,680
Speaker 2: I think some of the yelling at each other is

779
00:41:57,960 --> 00:42:01,600
Speaker 2: part of that thing's getting better, right, Like not necessarily

780
00:42:01,640 --> 00:42:03,759
Speaker 2: yelling at each other in the public square, like on

781
00:42:03,960 --> 00:42:06,719
Speaker 2: the internet, as it tends to happen now. But I

782
00:42:06,760 --> 00:42:11,560
Speaker 2: mean that like the disagreeing and pushing for better at

783
00:42:11,560 --> 00:42:14,560
Speaker 2: a systemic level and criticizing the way the system currently

784
00:42:14,600 --> 00:42:19,000
Speaker 2: works is at least partially what drives some of that progress, right,

785
00:42:19,120 --> 00:42:23,200
Speaker 2: So it does, I get your meaning. But I think

786
00:42:23,520 --> 00:42:28,560
Speaker 2: taking that anger, that energy and focusing it on criticizing

787
00:42:28,560 --> 00:42:31,680
Speaker 2: how the system is actually working or failing to work,

788
00:42:32,239 --> 00:42:36,719
Speaker 2: feels like it's still pretty crucial given that model of

789
00:42:36,800 --> 00:42:40,520
Speaker 2: humanity where people are just doing their best, but they're

790
00:42:41,520 --> 00:42:46,480
Speaker 2: you know, their best is actually inefvertently harming other people, right.

791
00:42:46,680 --> 00:42:48,880
Speaker 4: And that's something that comes up in the book because

792
00:42:48,880 --> 00:42:51,080
Speaker 4: the idea is and again you can disagree with this

793
00:42:51,440 --> 00:42:54,920
Speaker 4: or not, but in this particular era, in the social

794
00:42:54,960 --> 00:43:00,520
Speaker 4: media era, all of the incentives are toward keeping you

795
00:43:00,680 --> 00:43:04,320
Speaker 4: glued to a screen. So if you are arguing, the

796
00:43:04,520 --> 00:43:09,120
Speaker 4: system makes less money if the argument progresses toward a

797
00:43:09,480 --> 00:43:13,360
Speaker 4: resolution and a consensus. What the system needs is for

798
00:43:13,440 --> 00:43:17,239
Speaker 4: you to always be arguing, forever and ever and ever.

799
00:43:18,000 --> 00:43:20,720
Speaker 4: And that's why so much of what you're arguing about

800
00:43:21,800 --> 00:43:26,319
Speaker 4: is not something that's based in reality at all. Like, ideally,

801
00:43:26,400 --> 00:43:29,480
Speaker 4: if the systems working correctly, when COVID happened, and then

802
00:43:29,480 --> 00:43:32,680
Speaker 4: they got a sense of what exactly worked. What you know,

803
00:43:32,719 --> 00:43:35,480
Speaker 4: what cures worked, you know what treatments worked, how the

804
00:43:35,560 --> 00:43:38,120
Speaker 4: vaccines work. Once you arrive at that truth, it's like, Okay,

805
00:43:38,160 --> 00:43:40,839
Speaker 4: we have worked through it. We've been arguing the whole time,

806
00:43:40,840 --> 00:43:43,720
Speaker 4: but we eventually figured out we have the data. Here's

807
00:43:43,760 --> 00:43:46,920
Speaker 4: what we know. Vaccines worked for most people. You know

808
00:43:47,120 --> 00:43:50,839
Speaker 4: a lot of the other you know systems did not necessarily,

809
00:43:50,880 --> 00:43:53,399
Speaker 4: but this is this is what works. That's not what

810
00:43:53,440 --> 00:43:56,000
Speaker 4: you get now. You get people still to this day

811
00:43:56,760 --> 00:43:58,799
Speaker 4: yelling about like that what was the name of that

812
00:43:58,840 --> 00:44:01,680
Speaker 4: horse paced drug that the conservatives.

813
00:44:03,120 --> 00:44:04,759
Speaker 2: Fucking I took a bath on that thing.

814
00:44:04,800 --> 00:44:05,400
Speaker 3: Man.

815
00:44:06,560 --> 00:44:09,279
Speaker 4: To this day you'll get people in claiming that all

816
00:44:09,320 --> 00:44:11,160
Speaker 4: of the deaths were actually from the vaccine, none of

817
00:44:11,200 --> 00:44:13,400
Speaker 4: the death real like they've got grass showing that actually

818
00:44:13,400 --> 00:44:15,560
Speaker 4: there was no there was no pandemic. It was completely

819
00:44:16,560 --> 00:44:20,319
Speaker 4: That's the malfunction the system, because that is money, that

820
00:44:20,440 --> 00:44:23,560
Speaker 4: is traffic, that is engagement, and if your company that

821
00:44:23,840 --> 00:44:27,680
Speaker 4: only cares that people are glued to the screen, you

822
00:44:27,800 --> 00:44:32,759
Speaker 4: by definition are pushing people in the wrong direction because

823
00:44:32,800 --> 00:44:36,040
Speaker 4: you're not pushing people toward a consensus. You're always trying

824
00:44:36,040 --> 00:44:39,640
Speaker 4: to invent new things for people to argue about. For example,

825
00:44:40,080 --> 00:44:43,560
Speaker 4: I can I'm looking at my Twitter right now and

826
00:44:43,600 --> 00:44:47,160
Speaker 4: there is a meme that somebody posted where it's a

827
00:44:47,200 --> 00:44:48,759
Speaker 4: it's a guy, it's a picture of guy with a

828
00:44:48,800 --> 00:44:52,080
Speaker 4: beard and said, hey, ladies, if your boyfriend doesn't have

829
00:44:52,120 --> 00:44:57,200
Speaker 4: a beard, you have a girlfriend. And people yelling over

830
00:44:57,280 --> 00:45:01,640
Speaker 4: whether or not a man without a beard is scientifically

831
00:45:01,680 --> 00:45:05,800
Speaker 4: a male, Like, that's that's not leading anybody toward anything

832
00:45:06,400 --> 00:45:09,560
Speaker 4: that is purely invented to get people to yell at

833
00:45:09,600 --> 00:45:11,839
Speaker 4: each other and stare at their screen for just a

834
00:45:11,920 --> 00:45:14,400
Speaker 4: few minutes more and nothing else.

835
00:45:14,800 --> 00:45:17,120
Speaker 1: Sure, so yeah, right, So what you're saying is you're

836
00:45:17,480 --> 00:45:20,640
Speaker 1: as it's set up that, no, there's no incentive to

837
00:45:20,719 --> 00:45:24,839
Speaker 1: actually arrive at a conclusion because the discord, the disharmony

838
00:45:24,880 --> 00:45:28,760
Speaker 1: in the controversy is what's is what sort of being

839
00:45:28,960 --> 00:45:32,879
Speaker 1: brought to us. And we're increasingly motivated to this because yeah,

840
00:45:32,880 --> 00:45:36,080
Speaker 1: there's just so many like engagement type tweets that just

841
00:45:36,120 --> 00:45:38,880
Speaker 1: come out saying the wrong thing and being like, watch this,

842
00:45:39,760 --> 00:45:42,240
Speaker 1: I think I'm going to win the next presidential election

843
00:45:42,400 --> 00:45:45,560
Speaker 1: for the Democrats. In the comments section of that tweet

844
00:45:45,600 --> 00:45:50,280
Speaker 1: by printing out the JD vance actually sucks, right sure.

845
00:45:50,080 --> 00:45:52,080
Speaker 4: And this is I don't even need to talk about

846
00:45:52,120 --> 00:45:54,440
Speaker 4: this in nebulous terms. The way x has run, the

847
00:45:54,480 --> 00:45:56,680
Speaker 4: way Twitter has run Sinceilon Musk took it over. There

848
00:45:56,680 --> 00:46:00,920
Speaker 4: are measurable changes he made. He unbanned specific counts, all

849
00:46:00,960 --> 00:46:04,279
Speaker 4: of the policies against spreading intentional misinformation, all of that

850
00:46:04,320 --> 00:46:06,799
Speaker 4: stuff he lifted that I can watch this change happen

851
00:46:06,840 --> 00:46:09,560
Speaker 4: in front of me, because he thinks the only way

852
00:46:09,560 --> 00:46:13,280
Speaker 4: to make it profitable is to bring back the bs

853
00:46:13,320 --> 00:46:16,719
Speaker 4: that gets people yelling. Whereas before this they at least

854
00:46:16,760 --> 00:46:21,120
Speaker 4: felt some responsibility, like they banned Donald Trump for a reason,

855
00:46:21,200 --> 00:46:24,800
Speaker 4: like they felt some responsibility that this is the public square,

856
00:46:25,000 --> 00:46:28,399
Speaker 4: this is where news breaks. I mean, freaking Joe Biden

857
00:46:28,440 --> 00:46:31,160
Speaker 4: announced he was dropping out on Twitter, Like that's it

858
00:46:31,280 --> 00:46:36,320
Speaker 4: still holds that position. The former owners took that responsibility

859
00:46:36,400 --> 00:46:39,879
Speaker 4: seriously to some degree, but not so seriously that they

860
00:46:39,960 --> 00:46:43,040
Speaker 4: would not sell to Elon Musk, who openly promised I'm

861
00:46:43,040 --> 00:46:46,080
Speaker 4: going to trash all of that, like Google's whole thing

862
00:46:46,280 --> 00:46:48,560
Speaker 4: like that don't be evil slogan that they're like, hey,

863
00:46:48,600 --> 00:46:52,160
Speaker 4: we understand, we have tremendous power here, and we're going

864
00:46:52,160 --> 00:46:54,760
Speaker 4: to try to wield that responsibility, even if we technically

865
00:46:54,840 --> 00:46:59,120
Speaker 4: could make more money, but with nonsense and with whatever,

866
00:46:59,239 --> 00:47:03,400
Speaker 4: with the entertain lie rather than getting people accurate information. Well,

867
00:47:03,680 --> 00:47:07,120
Speaker 4: it seems like corporations there is a eventually the shareholders

868
00:47:07,120 --> 00:47:09,520
Speaker 4: are like, hey, you're leaving money on the table. There's

869
00:47:09,520 --> 00:47:11,240
Speaker 4: a lot of money in the evil stuff.

870
00:47:11,760 --> 00:47:12,399
Speaker 3: Why are you?

871
00:47:13,080 --> 00:47:16,000
Speaker 4: And no one feels like it's their fault because like, well,

872
00:47:16,040 --> 00:47:18,200
Speaker 4: I'm just a shareholder. You know, they could do what

873
00:47:18,239 --> 00:47:20,759
Speaker 4: they want. But it's like, yeah, but you're saying you're

874
00:47:20,800 --> 00:47:23,560
Speaker 4: not making as much money as you could be because

875
00:47:23,960 --> 00:47:27,160
Speaker 4: you know, if you allow the BS is profitable, of

876
00:47:27,200 --> 00:47:29,960
Speaker 4: course it is. It doesn't cost anything to research. You're

877
00:47:30,040 --> 00:47:30,960
Speaker 4: just making it up.

878
00:47:31,120 --> 00:47:34,000
Speaker 2: Yeah, all right, let's let's take a quick break and

879
00:47:34,320 --> 00:47:49,960
Speaker 2: we'll be right back. And we're back. And one version

880
00:47:49,960 --> 00:47:53,600
Speaker 2: of this that was kind of interesting that I noticed

881
00:47:53,719 --> 00:47:58,759
Speaker 2: following you on social media, Jason, is people were angrily,

882
00:47:59,840 --> 00:48:05,280
Speaker 2: very very seriously criticizing that. So somebody posted a clip

883
00:48:06,160 --> 00:48:11,799
Speaker 2: from Jason and the Argonauts and was like, Luma, the

884
00:48:11,840 --> 00:48:16,080
Speaker 2: AI like video thing basically is a game changer. Look

885
00:48:16,120 --> 00:48:20,239
Speaker 2: at how much better it made Jason and the Argonauts

886
00:48:20,280 --> 00:48:22,960
Speaker 2: and the like special effects, and then.

887
00:48:23,040 --> 00:48:26,080
Speaker 4: The scene was the classic stop motion skeleton rattle, which

888
00:48:26,120 --> 00:48:28,480
Speaker 4: is one of the most famous effect sequences of all

889
00:48:28,560 --> 00:48:30,960
Speaker 4: time because of the era it came out and how amazing.

890
00:48:30,600 --> 00:48:35,560
Speaker 2: It looks, and then it just the video is just

891
00:48:35,719 --> 00:48:39,319
Speaker 2: looks like complete shit. It's a very like I am

892
00:48:39,400 --> 00:48:43,040
Speaker 2: such a sucker for this very it's extremely funny. But

893
00:48:43,360 --> 00:48:47,600
Speaker 2: you had to come in and retweet it and say

894
00:48:48,400 --> 00:48:52,600
Speaker 2: this is a joke. Like the person who's posting this

895
00:48:52,719 --> 00:48:56,160
Speaker 2: is doing a bit like look at their profile, just

896
00:48:56,239 --> 00:48:58,279
Speaker 2: look at the at the video. Yeah, this is not

897
00:48:58,320 --> 00:49:05,520
Speaker 2: a game changer. And people's response to you was like, Matt,

898
00:49:05,880 --> 00:49:09,560
Speaker 2: they were I think more mad at like they're like

899
00:49:09,600 --> 00:49:11,440
Speaker 2: one person was like, if you need to explain to

900
00:49:11,520 --> 00:49:13,439
Speaker 2: people that you were making a joke, then you did

901
00:49:13,440 --> 00:49:15,959
Speaker 2: it badly. And it's like, no, this is.

902
00:49:15,960 --> 00:49:17,040
Speaker 3: They did it good.

903
00:49:17,200 --> 00:49:20,719
Speaker 2: They did a good job, Like this is actually a

904
00:49:20,840 --> 00:49:23,880
Speaker 2: very funny joke. Another person was like, it still sucks.

905
00:49:24,400 --> 00:49:27,440
Speaker 2: That's all it is doing is wasting resources, generating at

906
00:49:27,440 --> 00:49:30,160
Speaker 2: all for a simple joke, which yeah, now I get

907
00:49:30,200 --> 00:49:35,359
Speaker 2: the like AI is wasting resources thing, but like it's

908
00:49:36,360 --> 00:49:39,359
Speaker 2: I don't know they they definitely didn't get the joke

909
00:49:39,440 --> 00:49:42,880
Speaker 2: at first, And then I guess you were doing the

910
00:49:42,920 --> 00:49:47,080
Speaker 2: online rage equivalent of like yucking a youm in that

911
00:49:47,200 --> 00:49:51,400
Speaker 2: you're like calming a rage buzz and like that really

912
00:49:51,440 --> 00:49:54,719
Speaker 2: seemed to anger people. But yeah, that I guess that's

913
00:49:54,719 --> 00:50:01,120
Speaker 2: a new kind of thing where they're like ang instead

914
00:50:01,120 --> 00:50:03,680
Speaker 2: of happy, like instead of laughing.

915
00:50:04,160 --> 00:50:06,840
Speaker 4: Anger is addictive, even if you're not if you've not

916
00:50:06,880 --> 00:50:09,200
Speaker 4: been diagnosed as a rage aholic, which is a term

917
00:50:09,200 --> 00:50:10,719
Speaker 4: I don't think I've heard in a long time, but

918
00:50:10,800 --> 00:50:15,239
Speaker 4: anger is addictive. It's more addictive than cocaine. It's all

919
00:50:15,320 --> 00:50:17,680
Speaker 4: the chemicals are released in your brain because that's your

920
00:50:17,719 --> 00:50:20,160
Speaker 4: fight or flight response, right, Like that's your your body

921
00:50:20,200 --> 00:50:22,919
Speaker 4: trying to charge you up to go to go take

922
00:50:23,000 --> 00:50:26,839
Speaker 4: on somebody. And it's felt as pleasure, of course it is.

923
00:50:26,880 --> 00:50:29,480
Speaker 4: You can see how badly people want to stay mad online.

924
00:50:29,480 --> 00:50:31,719
Speaker 4: If they're mad about something and it turns out it

925
00:50:31,760 --> 00:50:36,600
Speaker 4: was a misunderstanding, they don't stop being mad, they just

926
00:50:36,640 --> 00:50:38,799
Speaker 4: find they just find something else to put their anger.

927
00:50:38,840 --> 00:50:41,080
Speaker 4: And this is the one thing that I like, I

928
00:50:41,120 --> 00:50:44,360
Speaker 4: hate that, like the cancel culture, discourse has been seized

929
00:50:44,400 --> 00:50:46,399
Speaker 4: by the right and now you hear somebody complaining about

930
00:50:46,400 --> 00:50:51,960
Speaker 4: cancel culture, it's always a sex pervert who's got charges

931
00:50:52,000 --> 00:50:54,480
Speaker 4: in their pastor trying to why should I be blamed

932
00:50:54,520 --> 00:50:57,440
Speaker 4: for that? But the one thing that I've observed with

933
00:50:57,440 --> 00:51:02,000
Speaker 4: this that if you explain that they misunderstood, or they

934
00:51:02,000 --> 00:51:04,040
Speaker 4: took something out of context, or you showed them that

935
00:51:04,080 --> 00:51:07,960
Speaker 4: the screenshot was faked, that doesn't calm their anger. It

936
00:51:08,040 --> 00:51:11,720
Speaker 4: is once in a blue mood, you would hear somebody say, oh,

937
00:51:11,760 --> 00:51:14,000
Speaker 4: thank god, I thought you were yeah. Okay, you're right,

938
00:51:14,040 --> 00:51:16,440
Speaker 4: I misunderstood. I thought you were no. Because it's all

939
00:51:16,440 --> 00:51:19,239
Speaker 4: the people that already wanted to hate you, or the

940
00:51:19,280 --> 00:51:21,880
Speaker 4: people that liked you a while ago, and that they've

941
00:51:21,880 --> 00:51:24,040
Speaker 4: reached a curve where they've decided it would now be

942
00:51:24,080 --> 00:51:28,120
Speaker 4: more fun to hate you. And it's so you can

943
00:51:28,280 --> 00:51:30,600
Speaker 4: see that this is addictive behavior. You can see that

944
00:51:30,680 --> 00:51:33,919
Speaker 4: this is compulsive behavior because it's like you sought out

945
00:51:33,960 --> 00:51:36,400
Speaker 4: something to be mad at just because you wanted to

946
00:51:36,400 --> 00:51:40,759
Speaker 4: feel something. And highly unscientific. I'm not a scientist, I'm

947
00:51:40,800 --> 00:51:43,040
Speaker 4: not a doctor. I think this is a form of

948
00:51:43,080 --> 00:51:47,000
Speaker 4: self harm that people do. I think compulsively reach like

949
00:51:47,600 --> 00:51:52,600
Speaker 4: refreshing outrage headlines and making yourself feel miserable or doom

950
00:51:52,719 --> 00:51:55,160
Speaker 4: or scared or angry over and over again. I think

951
00:51:55,200 --> 00:51:58,080
Speaker 4: it's a self harm behavior where you're just trying to

952
00:51:58,320 --> 00:52:01,080
Speaker 4: hurt yourself so you feel alive somehow.

953
00:52:01,440 --> 00:52:05,400
Speaker 1: Yeah, I mean that there's that I definitely got easily

954
00:52:05,520 --> 00:52:08,080
Speaker 1: swept up like many years ago, like in that kind

955
00:52:08,120 --> 00:52:10,319
Speaker 1: of like that sort of social media rage bait kind

956
00:52:10,320 --> 00:52:12,640
Speaker 1: of stuff, and I could stay even when people are like, dude,

957
00:52:12,640 --> 00:52:15,040
Speaker 1: this isn't even real. I would still pivot to like,

958
00:52:15,120 --> 00:52:17,959
Speaker 1: but I actually just need to be mad is where

959
00:52:18,000 --> 00:52:20,200
Speaker 1: I'm at, and it's really I'm realizing it might not

960
00:52:20,280 --> 00:52:24,520
Speaker 1: be this thing. And having that realization helped me definitely

961
00:52:24,560 --> 00:52:26,959
Speaker 1: to be like, Okay, what am I? Is it because

962
00:52:26,960 --> 00:52:29,360
Speaker 1: I'm observing something and I'm trying to be objective or

963
00:52:29,440 --> 00:52:31,480
Speaker 1: is it it's again it's that sensation.

964
00:52:31,200 --> 00:52:32,840
Speaker 3: To be like they're fucking wrong.

965
00:52:33,000 --> 00:52:35,680
Speaker 1: I'm with these other people that are right, and like,

966
00:52:35,800 --> 00:52:39,680
Speaker 1: you know, I don't care like how much it raises

967
00:52:39,680 --> 00:52:41,960
Speaker 1: my blood pressure or my heart rate or whatever. It's

968
00:52:42,000 --> 00:52:45,280
Speaker 1: just like that sensation in some way just I needed

969
00:52:45,320 --> 00:52:46,320
Speaker 1: it for whatever reason.

970
00:52:47,200 --> 00:52:49,879
Speaker 4: And you'll hear people say things like, well, the fact

971
00:52:49,960 --> 00:52:53,360
Speaker 4: that this could could have been true. Is just evidence

972
00:52:53,360 --> 00:52:55,719
Speaker 4: of how evil these people are. There's just proof of

973
00:52:55,760 --> 00:52:57,600
Speaker 4: how bad they are that we thought this was all true.

974
00:52:57,719 --> 00:53:02,359
Speaker 4: Like okay, because even like Donald Trump, you know, who

975
00:53:02,400 --> 00:53:07,240
Speaker 4: produces three or four outrage headlines a minute, that people

976
00:53:07,280 --> 00:53:10,719
Speaker 4: will still invent stuff. There's there's anti Trump conspiracy. There's

977
00:53:10,719 --> 00:53:12,640
Speaker 4: that went around that if you try to debunk them,

978
00:53:12,680 --> 00:53:14,440
Speaker 4: it's like, well, oh, here we go. You know, there's

979
00:53:14,880 --> 00:53:17,839
Speaker 4: just another maga idiot try It's like, no, I'm I'm

980
00:53:17,880 --> 00:53:21,640
Speaker 4: trying to clean up our own information ecosystem so people

981
00:53:21,680 --> 00:53:24,920
Speaker 4: will trust us, because if we don't, if we don't

982
00:53:25,040 --> 00:53:27,520
Speaker 4: clean up that stuff from our own house, then people

983
00:53:27,560 --> 00:53:30,799
Speaker 4: will think everything we say is just a lie. So

984
00:53:30,840 --> 00:53:32,640
Speaker 4: it's like, no, you've got to reject that. You got

985
00:53:32,680 --> 00:53:35,040
Speaker 4: to say now, actually this is not what he said.

986
00:53:35,520 --> 00:53:38,799
Speaker 4: That is a thankless task and nobody wants you to

987
00:53:38,800 --> 00:53:41,880
Speaker 4: do it because no one is like happy that you

988
00:53:41,960 --> 00:53:44,480
Speaker 4: took away their anchors and they're like, oh, thank you,

989
00:53:45,400 --> 00:53:47,080
Speaker 4: I'm in a better mood. This is I was mad

990
00:53:47,120 --> 00:53:49,200
Speaker 4: all morning, but you have lifted this burden from me.

991
00:53:49,520 --> 00:53:51,120
Speaker 4: It is very rare to hear that.

992
00:53:51,520 --> 00:53:53,719
Speaker 1: I mean, like, as you talk about cleaning up like

993
00:53:53,760 --> 00:53:57,520
Speaker 1: the information systems is your hope, Like I mean not

994
00:53:57,600 --> 00:54:00,200
Speaker 1: that this is like the you're like Reslin debt or

995
00:54:00,200 --> 00:54:02,480
Speaker 1: something like that. I have to make sure our echos

996
00:54:02,520 --> 00:54:05,600
Speaker 1: our information ecosystems cleaned up. But do you also is

997
00:54:05,600 --> 00:54:08,200
Speaker 1: there like a sense of nihilism that based on like

998
00:54:08,320 --> 00:54:12,239
Speaker 1: the way our engagements are structured and controlled by these

999
00:54:12,239 --> 00:54:14,000
Speaker 1: computers and the people that are able to sort of

1000
00:54:14,040 --> 00:54:18,120
Speaker 1: like emphasize certain things, that it's like a futile effort,

1001
00:54:18,200 --> 00:54:21,080
Speaker 1: or it's just something that maybe with increased awareness, we

1002
00:54:21,480 --> 00:54:24,840
Speaker 1: slowly are able to sort of take some semblance of

1003
00:54:24,920 --> 00:54:26,120
Speaker 1: like parody back.

1004
00:54:27,440 --> 00:54:29,200
Speaker 4: I would like to think so, but I think it's

1005
00:54:29,200 --> 00:54:32,600
Speaker 4: a case where the technology has moved faster than the culture.

1006
00:54:33,120 --> 00:54:35,840
Speaker 4: You know, our rules in our culture around things like

1007
00:54:35,920 --> 00:54:37,759
Speaker 4: screen time, and you know, there was a time where

1008
00:54:37,760 --> 00:54:40,320
Speaker 4: the culture didn't change for like a thousand straight years.

1009
00:54:40,360 --> 00:54:43,640
Speaker 4: All the rules you had about do the chores before dinner,

1010
00:54:43,719 --> 00:54:46,120
Speaker 4: do this, wash your hands, like these things were they

1011
00:54:46,120 --> 00:54:48,840
Speaker 4: were established based on their lifestyle, based on the world,

1012
00:54:48,840 --> 00:54:51,080
Speaker 4: based on what we keep everybody healthy, keep you from

1013
00:54:51,120 --> 00:54:53,799
Speaker 4: getting sick, what would keep you safe well. Now the

1014
00:54:53,840 --> 00:54:56,960
Speaker 4: world changes so quick. If I suddenly had a child,

1015
00:54:58,080 --> 00:55:01,080
Speaker 4: I would have no idea what age I would let

1016
00:55:01,120 --> 00:55:04,400
Speaker 4: them have a smartphone, whether what age I would let

1017
00:55:04,400 --> 00:55:06,960
Speaker 4: them on social media. I can't give any advice on

1018
00:55:07,000 --> 00:55:09,440
Speaker 4: that because I have no clue. I don't even know

1019
00:55:09,480 --> 00:55:12,720
Speaker 4: what the science is in terms of brain development, because

1020
00:55:12,760 --> 00:55:14,920
Speaker 4: I don't think we have the data you would. You

1021
00:55:14,920 --> 00:55:17,040
Speaker 4: would need to be able to study someone through their

1022
00:55:17,080 --> 00:55:20,040
Speaker 4: formative years on and offline and see what like are

1023
00:55:20,080 --> 00:55:23,200
Speaker 4: they Are they seeing greater you know, levels of stress

1024
00:55:23,239 --> 00:55:26,839
Speaker 4: and lower levels of like like self image, that kind

1025
00:55:26,880 --> 00:55:29,239
Speaker 4: of thing. In the time it takes you to study it,

1026
00:55:29,280 --> 00:55:31,960
Speaker 4: the world has moved on from Facebook to Instagram, then

1027
00:55:31,960 --> 00:55:34,080
Speaker 4: from Instagram to tech talk, and then from TikTok to

1028
00:55:34,160 --> 00:55:37,880
Speaker 4: whatever it is now, and you can't like, we just

1029
00:55:38,000 --> 00:55:42,560
Speaker 4: don't know. But I'm not. I'm not a pessimist or

1030
00:55:42,640 --> 00:55:45,120
Speaker 4: a centic. My my whole thing. I have this weird

1031
00:55:45,160 --> 00:55:48,800
Speaker 4: sort of like optimism where I just think that very

1032
00:55:48,800 --> 00:55:52,040
Speaker 4: few people in the world are truly evil. I think

1033
00:55:52,239 --> 00:55:57,200
Speaker 4: most people in the world are not very smart about

1034
00:55:57,239 --> 00:55:59,919
Speaker 4: things or don't have time to think about these things.

1035
00:56:00,000 --> 00:56:03,680
Speaker 4: They're busy, they're raising kids, are working two shifts. No,

1036
00:56:03,880 --> 00:56:06,320
Speaker 4: they've not sat down and pondered the role of freaking

1037
00:56:06,360 --> 00:56:09,279
Speaker 4: TikTok in their child's life. They've got they're worried about

1038
00:56:09,280 --> 00:56:10,800
Speaker 4: trying to pay the bills, or we're not trying to

1039
00:56:10,800 --> 00:56:13,239
Speaker 4: get them to a soccer practice on time. I think

1040
00:56:13,280 --> 00:56:15,399
Speaker 4: most people are doing their best. I don't think there

1041
00:56:15,400 --> 00:56:18,160
Speaker 4: are that many. There are some true villains in the world.

1042
00:56:18,200 --> 00:56:20,840
Speaker 4: I've read history books, but I think that number of

1043
00:56:20,880 --> 00:56:24,360
Speaker 4: people is very small. I think most people, including like

1044
00:56:24,480 --> 00:56:28,000
Speaker 4: most Trump voters, I think they've just been exposed to

1045
00:56:28,040 --> 00:56:31,080
Speaker 4: an information ecosystem. I think if you watched Fox News

1046
00:56:31,120 --> 00:56:33,480
Speaker 4: all day, if you if you only followed like these

1047
00:56:33,520 --> 00:56:36,759
Speaker 4: right wing pundits over time, voting for him seems like

1048
00:56:36,800 --> 00:56:40,319
Speaker 4: the only sensible choice. I think all of us are

1049
00:56:40,360 --> 00:56:42,480
Speaker 4: more susceptible to that kind of thing than we like

1050
00:56:42,560 --> 00:56:46,040
Speaker 4: to think. But I think mostly it's just people not

1051
00:56:46,200 --> 00:56:49,400
Speaker 4: having the right information, or not having great critical thinking skills,

1052
00:56:49,480 --> 00:56:54,040
Speaker 4: or just not having the time that I think the

1053
00:56:54,080 --> 00:56:59,200
Speaker 4: culture eventually evolves. But for example, one unexpected thing that's

1054
00:56:59,200 --> 00:57:02,360
Speaker 4: happened is people have stopped having sex and stopped having kids.

1055
00:57:03,200 --> 00:57:08,239
Speaker 4: Nobody predicted that as much as much, but yeah, but

1056
00:57:08,320 --> 00:57:12,040
Speaker 4: you can see you can see the rates like dropping radically,

1057
00:57:12,160 --> 00:57:16,120
Speaker 4: like the culture was definitely not ready for that to happen.

1058
00:57:16,480 --> 00:57:18,720
Speaker 4: We didn't have the data showing us that. Oh yeah,

1059
00:57:18,760 --> 00:57:20,840
Speaker 4: if the teenagers, if you train them to just stay

1060
00:57:20,880 --> 00:57:23,240
Speaker 4: home and interact over a screen, then they're not going

1061
00:57:23,280 --> 00:57:27,200
Speaker 4: to be in proximity with each other. And one side

1062
00:57:27,200 --> 00:57:29,440
Speaker 4: effect is you get much less crime because if you're

1063
00:57:29,480 --> 00:57:31,080
Speaker 4: not if you don't leave the house, you can't do

1064
00:57:31,200 --> 00:57:34,920
Speaker 4: a crime unless it's like some lame cyber crime. That

1065
00:57:35,040 --> 00:57:37,280
Speaker 4: same thing. But they're also not dating as much, or

1066
00:57:37,280 --> 00:57:41,680
Speaker 4: they're not you know, they're not getting married. We will

1067
00:57:41,760 --> 00:57:43,760
Speaker 4: have to figure out how to deal with that. But

1068
00:57:43,800 --> 00:57:50,280
Speaker 4: the technology just moves so fast that the culture has

1069
00:57:50,320 --> 00:57:52,480
Speaker 4: to catch up, and you can see people struggling with us.

1070
00:57:52,520 --> 00:57:55,800
Speaker 4: You can you can see like right wing media personalities

1071
00:57:55,920 --> 00:57:58,040
Speaker 4: talking about wanting to go back to like the nineteen

1072
00:57:58,520 --> 00:58:01,160
Speaker 4: fifties because that's the only way they can think to

1073
00:58:01,840 --> 00:58:04,320
Speaker 4: turn back the conc is to turn it back all

1074
00:58:04,400 --> 00:58:10,240
Speaker 4: the way yeah, before the Civil rights movement, right, Yeah.

1075
00:58:09,760 --> 00:58:14,680
Speaker 2: Yeah, I mean I spent my adult life writing for

1076
00:58:14,840 --> 00:58:18,000
Speaker 2: and interacting with the Internet, and but yeah, when it

1077
00:58:18,000 --> 00:58:21,120
Speaker 2: comes to my children, like my plan currently is basically

1078
00:58:21,200 --> 00:58:26,480
Speaker 2: just like no Internet as much as possible, really, like

1079
00:58:26,760 --> 00:58:29,960
Speaker 2: I yeah, I mean no, like social media, no phones,

1080
00:58:30,120 --> 00:58:33,120
Speaker 2: like I mean, it just seems like there's too many

1081
00:58:34,400 --> 00:58:40,440
Speaker 2: little shortcuts built into the system that are specifically designed

1082
00:58:40,440 --> 00:58:43,440
Speaker 2: to like hijack our brain's risk reward center. But you

1083
00:58:43,440 --> 00:58:50,320
Speaker 2: know it's I think it's it's much harder. And also, yeah,

1084
00:58:50,360 --> 00:58:54,560
Speaker 2: it's based on just like a sense that the net

1085
00:58:54,600 --> 00:58:59,400
Speaker 2: result on mental health is bad. And the anecdotes about

1086
00:58:59,400 --> 00:59:01,960
Speaker 2: like the people who designed all this ship being like, well,

1087
00:59:01,960 --> 00:59:04,840
Speaker 2: my kids are never allowed to do that sort of thing,

1088
00:59:05,480 --> 00:59:07,640
Speaker 2: like go use the products that I designed.

1089
00:59:07,880 --> 00:59:09,200
Speaker 3: What do you know about it that we don't?

1090
00:59:09,600 --> 00:59:12,880
Speaker 2: Nothing, just nothing, just yeah, you just shut up. But

1091
00:59:13,560 --> 00:59:17,880
Speaker 2: I don't know. It's definitely strange times, and I don't

1092
00:59:18,000 --> 00:59:20,760
Speaker 2: want to make people think like the whole book is

1093
00:59:20,880 --> 00:59:25,600
Speaker 2: just like dark. You know, there's a lot of it's

1094
00:59:25,960 --> 00:59:30,439
Speaker 2: very funny, very entertaining, very edge of your seat. There's

1095
00:59:30,520 --> 00:59:35,000
Speaker 2: great observations about packing underwear before a road trip that

1096
00:59:35,080 --> 00:59:36,320
Speaker 2: really resonated with me.

1097
00:59:37,520 --> 00:59:43,320
Speaker 4: Everybody packs packs way too much, so much under Yeah,

1098
00:59:43,360 --> 00:59:45,600
Speaker 4: but if I poop myself four times.

1099
00:59:45,560 --> 00:59:49,880
Speaker 2: I'm gonna be closed with myself constantly on this road trip. Yeah,

1100
00:59:50,000 --> 00:59:53,360
Speaker 2: And like how we feel about pop culture references in

1101
00:59:53,600 --> 00:59:57,080
Speaker 2: air pop culture like seems to be changing, and you

1102
00:59:57,120 --> 01:00:01,280
Speaker 2: have some good interesting thoughts on that, but you can

1103
01:00:01,320 --> 01:00:04,760
Speaker 2: find them in the book. Any anything else before we

1104
01:00:05,520 --> 01:00:06,160
Speaker 2: say goodbye?

1105
01:00:07,440 --> 01:00:10,400
Speaker 4: No, just that I'm on TikTok as Jason K. Pargin,

1106
01:00:10,800 --> 01:00:13,600
Speaker 4: where I have five hundred and twenty thousand forwards.

1107
01:00:13,800 --> 01:00:18,760
Speaker 7: Yeah, I hope I don't come across as a very

1108
01:00:18,800 --> 01:00:24,400
Speaker 7: elderly and geriatric gen x being mad about technology.

1109
01:00:24,440 --> 01:00:27,880
Speaker 4: I'm on here all day, every day.

1110
01:00:28,240 --> 01:00:29,040
Speaker 3: I need it.

1111
01:00:31,040 --> 01:00:34,080
Speaker 2: Amazing. Where else can people find you? Follow you? Where

1112
01:00:34,080 --> 01:00:36,240
Speaker 2: can they pre order the book? All that good stuff?

1113
01:00:36,920 --> 01:00:39,920
Speaker 4: The book is called I'm starting to worry about this

1114
01:00:40,080 --> 01:00:42,920
Speaker 4: Black Box of Doom. It is up for pre order

1115
01:00:42,960 --> 01:00:47,040
Speaker 4: in all formats including audio. I do not read the audiobook.

1116
01:00:47,120 --> 01:00:49,960
Speaker 4: They hired a professional to do that. But yeah, you

1117
01:00:50,000 --> 01:00:52,120
Speaker 4: can just search that title wherever you like pre order books.

1118
01:00:52,120 --> 01:00:54,600
Speaker 4: If you want a pre order from an actual physical

1119
01:00:54,680 --> 01:00:58,280
Speaker 4: indie bookstore in your city, they will kiss you right

1120
01:00:58,360 --> 01:01:00,200
Speaker 4: on the lips if you do that, they will. That

1121
01:01:00,240 --> 01:01:03,160
Speaker 4: would make them extremely happy. But I know that eighty

1122
01:01:03,200 --> 01:01:05,760
Speaker 4: five percent of you are going to order it through Amazon,

1123
01:01:05,880 --> 01:01:06,919
Speaker 4: so it's there too.

1124
01:01:07,320 --> 01:01:10,320
Speaker 2: There you go, And is there a tweet or some

1125
01:01:10,440 --> 01:01:12,640
Speaker 2: other work of media that you've been enjoying.

1126
01:01:13,600 --> 01:01:17,120
Speaker 4: Uh, yeah, I had a couple. One is from the

1127
01:01:17,160 --> 01:01:21,800
Speaker 4: Twitter user Peachy black Girl says, we're really living in

1128
01:01:21,800 --> 01:01:25,520
Speaker 4: the most difficult section of somebody's ap government exam in

1129
01:01:25,600 --> 01:01:27,760
Speaker 4: twenty fifty three.

1130
01:01:29,280 --> 01:01:32,680
Speaker 1: Yeah, what explained the omni crisis of twenty twenty four

1131
01:01:32,800 --> 01:01:33,400
Speaker 1: in America?

1132
01:01:33,680 --> 01:01:37,680
Speaker 2: Like, there's so many they're so close together.

1133
01:01:38,080 --> 01:01:42,640
Speaker 4: Yeah, there's so many things that require so much explaining

1134
01:01:42,720 --> 01:01:46,240
Speaker 4: of context. I try to compare to if somebody, like

1135
01:01:46,280 --> 01:01:48,760
Speaker 4: six hundred years from now listen to that Kendrick Lamar

1136
01:01:48,880 --> 01:01:51,959
Speaker 4: song about Drake, Yeah, and then how difficult it would

1137
01:01:51,960 --> 01:01:55,120
Speaker 4: be to explain because it's so full of references to

1138
01:01:56,000 --> 01:01:58,880
Speaker 4: scandals and pop culture and stuff that you would have

1139
01:01:58,920 --> 01:02:01,200
Speaker 4: to write an entire book. It would be like that,

1140
01:02:01,240 --> 01:02:03,760
Speaker 4: every every little thing that has happened, there's so much

1141
01:02:03,840 --> 01:02:06,400
Speaker 4: context that's going to be impossible to explain.

1142
01:02:08,320 --> 01:02:10,400
Speaker 2: It's gonna be like entire.

1143
01:02:11,600 --> 01:02:12,400
Speaker 3: Academics.

1144
01:02:12,960 --> 01:02:17,200
Speaker 2: Academic career is built on explaining it. Amazing. Well, thanks

1145
01:02:17,200 --> 01:02:20,320
Speaker 2: again for joining us, great work on the book, and yeah,

1146
01:02:20,360 --> 01:02:23,720
Speaker 2: looking forward to having you back on again soon. Miles.

1147
01:02:23,840 --> 01:02:26,360
Speaker 2: Where can people find you is their working media you've

1148
01:02:26,400 --> 01:02:26,960
Speaker 2: been enjoying?

1149
01:02:27,080 --> 01:02:30,720
Speaker 1: Yeah, you find me at Miles of Gray, Twitter, Instagram threads,

1150
01:02:30,800 --> 01:02:33,840
Speaker 1: wherever they got at symbols, I'm their PlayStation network.

1151
01:02:33,960 --> 01:02:36,120
Speaker 3: You know, it's called consistency. Baby.

1152
01:02:36,400 --> 01:02:38,680
Speaker 1: You can also find Jack and on the basketball Podcastle

1153
01:02:38,760 --> 01:02:40,919
Speaker 1: the Jack. I MAT's He's gonna find me talking about

1154
01:02:41,000 --> 01:02:44,480
Speaker 1: ninety day Fiance on four to twenty Day Fiance. A

1155
01:02:44,480 --> 01:02:48,200
Speaker 1: couple of tweets I like, let's see first. One is

1156
01:02:48,280 --> 01:02:51,080
Speaker 1: at Cuckoo Kado tweeted it feel like a lot of

1157
01:02:51,120 --> 01:02:54,040
Speaker 1: women in their thirties are torn between sticking with their BF,

1158
01:02:54,080 --> 01:02:57,000
Speaker 1: who's honestly not a great candidate, but he's the nominee,

1159
01:02:57,440 --> 01:02:58,760
Speaker 1: or risking the chaos of.

1160
01:02:58,760 --> 01:02:59,800
Speaker 3: An open convention.

1161
01:03:00,880 --> 01:03:03,959
Speaker 1: Oh that was like, yeah, no, it's feels similar calculus.

1162
01:03:04,360 --> 01:03:09,080
Speaker 1: Another one is like this picture of jd Vance. It's

1163
01:03:09,200 --> 01:03:13,520
Speaker 1: from a pod app pod Leasia great account and its

1164
01:03:13,560 --> 01:03:16,000
Speaker 1: just said I can't explain it, but he looks like

1165
01:03:16,040 --> 01:03:18,560
Speaker 1: the guy at the bachelor party that doesn't know any

1166
01:03:18,600 --> 01:03:23,560
Speaker 1: of the other cruisemen. Feels like big Jdvance energy and

1167
01:03:23,600 --> 01:03:27,880
Speaker 1: also very dear friend of the show, Jamie Loftus, her

1168
01:03:27,880 --> 01:03:31,400
Speaker 1: father passed away over the weekend and I just wanted

1169
01:03:31,440 --> 01:03:35,040
Speaker 1: to send all of our condolences collectively to Jamie. She

1170
01:03:35,120 --> 01:03:38,000
Speaker 1: tweeted on the twenty first first, we lost my amazing

1171
01:03:38,080 --> 01:03:40,720
Speaker 1: dad this morning. The funniest person alive, endlessly supportive, a

1172
01:03:40,720 --> 01:03:43,640
Speaker 1: massively talented and hardworking writer, A true friend. I don't

1173
01:03:43,680 --> 01:03:46,400
Speaker 1: know what life looks like without him. Mike Loftis nineteen

1174
01:03:46,360 --> 01:03:49,480
Speaker 1: fifty nine to twenty twenty four. So Jamie, our thoughts,

1175
01:03:49,600 --> 01:03:51,800
Speaker 1: our love, all of that is with you and your family.

1176
01:03:52,320 --> 01:03:53,840
Speaker 3: But I just thought, if you guys.

1177
01:03:53,680 --> 01:03:56,520
Speaker 1: Hadn't heard, you know, maybe you know, just send some

1178
01:03:56,560 --> 01:03:57,640
Speaker 1: support from life.

1179
01:03:57,920 --> 01:04:03,120
Speaker 2: Yeah, all right, tweets have been enjoying. Taffy Brodesser Ackner tweeted,

1180
01:04:03,240 --> 01:04:05,800
Speaker 2: hurt people. Hurt people is what I think as I

1181
01:04:05,880 --> 01:04:08,440
Speaker 2: reclined my plane seat because the person in front of

1182
01:04:08,520 --> 01:04:08,880
Speaker 2: me did.

1183
01:04:11,520 --> 01:04:12,720
Speaker 4: That's a perfect metaphor.

1184
01:04:13,120 --> 01:04:19,040
Speaker 2: Yeah, and at E R r AI, I don't know,

1185
01:04:19,120 --> 01:04:21,680
Speaker 2: I don't know how we're pronouncing that, tweeted dude, don't

1186
01:04:21,720 --> 01:04:23,640
Speaker 2: be a dick. It's just a straw. Come on, your

1187
01:04:23,720 --> 01:04:25,040
Speaker 2: camel won't even notice it.

1188
01:04:27,240 --> 01:04:28,480
Speaker 3: You can find.

1189
01:04:30,000 --> 01:04:32,400
Speaker 2: Us on Twitter at Daily Zeitgeist. We're at the Daily

1190
01:04:32,480 --> 01:04:35,040
Speaker 2: Zeitgeist on Instagram. We have a Facebook fan page on

1191
01:04:35,120 --> 01:04:37,840
Speaker 2: website Daily Zeiguist dot com where we post our episodes

1192
01:04:37,880 --> 01:04:40,800
Speaker 2: and our footnotes, where we link off to the information

1193
01:04:40,840 --> 01:04:43,520
Speaker 2: that we talked about in today's episode, as well as

1194
01:04:43,520 --> 01:04:46,640
Speaker 2: a song that we think you might enjoy. Miles, what

1195
01:04:46,760 --> 01:04:48,080
Speaker 2: song do you think people might endore?

1196
01:04:48,280 --> 01:04:50,880
Speaker 1: Oh man, I mean the title. I don't know if

1197
01:04:50,920 --> 01:04:52,720
Speaker 1: it was a good day, but that's the name of

1198
01:04:52,760 --> 01:04:56,240
Speaker 1: this song. It was a good Day. Parenthetical Footsteps in

1199
01:04:56,400 --> 01:04:59,720
Speaker 1: the Dark obviously a reference to the ice Cube track,

1200
01:05:00,120 --> 01:05:02,920
Speaker 1: but they're rotten the Isisley Brothers sample and it's by

1201
01:05:03,000 --> 01:05:06,640
Speaker 1: that band Oma again. Oh ma, they're just like those

1202
01:05:06,720 --> 01:05:10,360
Speaker 1: Brits playing live sort of hip hop instrumentals and you

1203
01:05:10,520 --> 01:05:13,760
Speaker 1: love to hear it. It was a good day Footsteps

1204
01:05:13,800 --> 01:05:15,080
Speaker 1: in the Dark by Oma.

1205
01:05:14,960 --> 01:05:18,400
Speaker 2: Oh my God. All right, so well, we will link

1206
01:05:18,400 --> 01:05:20,960
Speaker 2: off to that in the footnotes. The Daily's Eyegeas is

1207
01:05:20,960 --> 01:05:24,120
Speaker 2: a production of iHeartRadio. For more podcasts from iHeartRadio, visit

1208
01:05:24,160 --> 01:05:26,600
Speaker 2: the iHeartRadio app, Apple podcast, or wherever you listen to

1209
01:05:26,600 --> 01:05:29,240
Speaker 2: your favorite shows. That is going to do it for

1210
01:05:29,400 --> 01:05:31,960
Speaker 2: us this morning. We are back this afternoon to tell

1211
01:05:31,960 --> 01:05:34,040
Speaker 2: you what is trending, and we will talk to you

1212
01:05:34,120 --> 01:05:37,760
Speaker 2: all then. Bye bye.