1
00:00:00,480 --> 00:00:08,080
Speaker 1: The Internet is our best shot at holding these cowards accountable.

2
00:00:10,960 --> 00:00:12,680
Speaker 2: There are no Girls on the Internet. As a production

3
00:00:12,720 --> 00:00:20,240
Speaker 2: of iHeartRadio and Unbossed Creative, I'm Bridget Todd, and this

4
00:00:20,320 --> 00:00:25,960
Speaker 2: is there are no girls on the Internet. Remember Signal Gate.

5
00:00:26,760 --> 00:00:28,479
Speaker 2: It's been a minute and a lot has happened. So

6
00:00:28,520 --> 00:00:32,480
Speaker 2: here's a quick refresher. The President's national security team got

7
00:00:32,479 --> 00:00:36,320
Speaker 2: caught using Signal, a private messaging app, to discuss sensitive

8
00:00:36,360 --> 00:00:40,800
Speaker 2: military operations, top tier secret stuff that should only really

9
00:00:40,880 --> 00:00:45,440
Speaker 2: be discussed on the Pentagon's ultra secure, billion dollar communication systems.

10
00:00:45,800 --> 00:00:49,120
Speaker 2: But instead of following protocol, Vice President j d Vance,

11
00:00:49,320 --> 00:00:53,080
Speaker 2: Secretary of Defense Pete Hegseach, National Security Advisor Mike Waltz,

12
00:00:53,200 --> 00:00:56,440
Speaker 2: and others were chatting on Signal. Now, I want to

13
00:00:56,440 --> 00:01:00,680
Speaker 2: be clear, Signal the app did nothing wrong. We're huge

14
00:01:00,720 --> 00:01:02,200
Speaker 2: fans of the Signal app here at there are no

15
00:01:02,200 --> 00:01:04,479
Speaker 2: girls on the Internet. It's run by a nonprofit led

16
00:01:04,480 --> 00:01:08,640
Speaker 2: by Meredith Whittaker, who I deeply admire. This was user error,

17
00:01:08,720 --> 00:01:12,440
Speaker 2: plain and simple. So how did we even find out? Well,

18
00:01:12,600 --> 00:01:15,880
Speaker 2: it wasn't through a leak or a hack or a whistleblower. No, no,

19
00:01:15,880 --> 00:01:19,720
Speaker 2: no, no no. Someone accidentally added the editor in chief of

20
00:01:19,760 --> 00:01:23,680
Speaker 2: The Atlantic, Jeffrey Goldberg, to the group chat, I have

21
00:01:23,720 --> 00:01:25,880
Speaker 2: to be honest. It's the kind of fat fingered mistake

22
00:01:26,040 --> 00:01:29,360
Speaker 2: I find kind of relatable personally, but I am not

23
00:01:29,480 --> 00:01:34,000
Speaker 2: handling national security. And it gets worse. After the scandal,

24
00:01:34,400 --> 00:01:38,759
Speaker 2: Waltz was photographed using an unofficial signal knockoff called TM signal,

25
00:01:39,240 --> 00:01:42,480
Speaker 2: made by a company called Telemessage, which was recently bought

26
00:01:42,480 --> 00:01:46,440
Speaker 2: by I kid you not a company called smarsh That's

27
00:01:46,440 --> 00:01:51,040
Speaker 2: a name that definitely inspires confidence. Now, unlike Signal, TM

28
00:01:51,160 --> 00:01:55,440
Speaker 2: signal stores messages on central servers insecurely, kind of the

29
00:01:55,440 --> 00:01:59,400
Speaker 2: opposite of signals. Whole thing. Since this story broke, hackers

30
00:01:59,440 --> 00:02:03,280
Speaker 2: have breached the servers multiple times. One hacker told four

31
00:02:03,400 --> 00:02:06,520
Speaker 2: l four media that Telebassage had not bothered to implement

32
00:02:06,640 --> 00:02:09,480
Speaker 2: basic digital security of practices, and that's the whole thing,

33
00:02:09,600 --> 00:02:12,880
Speaker 2: always with about fifteen minutes to break into. Now, this

34
00:02:13,080 --> 00:02:17,320
Speaker 2: is not just political drama. It's about real lives, like

35
00:02:17,360 --> 00:02:20,720
Speaker 2: those of America's three million service members, people like the

36
00:02:20,800 --> 00:02:24,280
Speaker 2: husband of my friend Kendall Brown, a digital strategist and

37
00:02:24,360 --> 00:02:29,040
Speaker 2: content creator. Service members can't always speak out, but Kendall can.

38
00:02:30,200 --> 00:02:33,080
Speaker 2: She makes it her business to use the Internet to

39
00:02:33,160 --> 00:02:35,600
Speaker 2: speak up for service members like her husband.

40
00:02:38,000 --> 00:02:41,799
Speaker 1: Weirdly, he in some ways I think he lives vicariously

41
00:02:42,160 --> 00:02:45,920
Speaker 1: through me online, that I'm able to say all of

42
00:02:45,960 --> 00:02:49,800
Speaker 1: this shit and he cannot. So I think in some

43
00:02:49,919 --> 00:02:53,760
Speaker 1: way like I've never made a video related to the

44
00:02:53,800 --> 00:02:57,320
Speaker 1: military without running it by him first, and I have

45
00:02:57,480 --> 00:02:59,880
Speaker 1: yet to make one that he doesn't agree with, So

46
00:03:00,600 --> 00:03:02,760
Speaker 1: in some ways I feel like I'm being his mouth

47
00:03:02,880 --> 00:03:03,639
Speaker 1: for him.

48
00:03:04,120 --> 00:03:07,200
Speaker 2: Beyond the logistics of what happened with Signal Gate, Kendall's

49
00:03:07,240 --> 00:03:11,800
Speaker 2: reaction went deeper. She was pissed off. Here's a little

50
00:03:11,840 --> 00:03:14,040
Speaker 2: of what Kendall had to say in her now viral

51
00:03:14,080 --> 00:03:15,440
Speaker 2: TikTok about Signal Gate.

52
00:03:16,520 --> 00:03:19,760
Speaker 1: As someone whose husband is currently deployed in the Middle East,

53
00:03:19,800 --> 00:03:22,000
Speaker 1: not far from Yemen, I'm gonna warn you now this

54
00:03:22,080 --> 00:03:23,840
Speaker 1: is going to be the angriest fucking video I have

55
00:03:23,880 --> 00:03:25,720
Speaker 1: ever made in my entire life, because there are not

56
00:03:25,800 --> 00:03:28,960
Speaker 1: adequate words in the English language for me to fully

57
00:03:29,000 --> 00:03:32,440
Speaker 1: fucking communicate to you right now, how fucking furious I am.

58
00:03:33,320 --> 00:03:36,520
Speaker 2: I can only really describe the tone of that video

59
00:03:36,560 --> 00:03:42,400
Speaker 2: as like righteous, righteous anger, like very I don't know,

60
00:03:42,520 --> 00:03:45,480
Speaker 2: like yeah, it lit a fire in me, and I

61
00:03:45,520 --> 00:03:47,800
Speaker 2: do think that there's something about seeing a video like

62
00:03:47,840 --> 00:03:50,680
Speaker 2: that right now, where every day I am seeing content

63
00:03:50,720 --> 00:03:53,640
Speaker 2: that enrages me and it's easy to sort of get

64
00:03:53,760 --> 00:03:57,720
Speaker 2: numb to it, but something about your video really broke through.

65
00:03:57,880 --> 00:04:00,520
Speaker 2: So what was going through your mind? And when you

66
00:04:00,600 --> 00:04:03,320
Speaker 2: first saw this news about the signal chat?

67
00:04:03,640 --> 00:04:10,400
Speaker 1: Oh, I was big mad, Like I It was the

68
00:04:10,520 --> 00:04:13,920
Speaker 1: kind of mad where I feel like all thoughts left

69
00:04:14,000 --> 00:04:16,080
Speaker 1: my head entirely and it was just left with this

70
00:04:16,120 --> 00:04:17,200
Speaker 1: like buzzing noise.

71
00:04:18,360 --> 00:04:18,720
Speaker 2: It was.

72
00:04:19,400 --> 00:04:21,320
Speaker 1: You know, a lot of the content that I post

73
00:04:21,400 --> 00:04:24,440
Speaker 1: online there is at least some amount of like forethought

74
00:04:24,560 --> 00:04:27,720
Speaker 1: to it. This was not one of those times. I

75
00:04:27,920 --> 00:04:32,560
Speaker 1: literally just got my phone started recording and immediately was

76
00:04:32,760 --> 00:04:38,479
Speaker 1: just honestly practically screaming into my phone, definitely yelling, almost

77
00:04:38,520 --> 00:04:44,599
Speaker 1: to the level of screaming, and just honestly it was

78
00:04:44,680 --> 00:04:46,960
Speaker 1: I just I was so mad. I had to get

79
00:04:46,960 --> 00:04:51,360
Speaker 1: it out there. And I knew that this is one

80
00:04:51,400 --> 00:04:55,680
Speaker 1: of those topics that the people in power get away

81
00:04:55,720 --> 00:04:59,920
Speaker 1: with this shit, specifically because they know the people most impacted.

82
00:05:00,200 --> 00:05:04,720
Speaker 1: Active duty service members literally cannot say anything publicly, and

83
00:05:04,800 --> 00:05:10,000
Speaker 1: so the overwhelming majority of Americans have no way of

84
00:05:10,080 --> 00:05:15,360
Speaker 1: connecting emotionally with the topic. And so you know, most democrats,

85
00:05:15,400 --> 00:05:18,640
Speaker 1: most leftists can look at the story and be like, yeah,

86
00:05:18,800 --> 00:05:24,600
Speaker 1: logically this is bad, but they can't feel the emotion

87
00:05:24,920 --> 00:05:29,480
Speaker 1: of how scary it is, how infuriating it is. And

88
00:05:29,680 --> 00:05:34,200
Speaker 1: I think it's really important for people to connect to

89
00:05:34,240 --> 00:05:37,200
Speaker 1: the emotions of it. I think that's one of our

90
00:05:37,279 --> 00:05:40,359
Speaker 1: biggest flaws on the left is that we get like

91
00:05:40,520 --> 00:05:42,840
Speaker 1: really absorbed into the like facts and we're going to

92
00:05:42,920 --> 00:05:45,080
Speaker 1: fact check you to death and somehow if we just

93
00:05:45,200 --> 00:05:47,480
Speaker 1: tell you enough facts, you're going to be on our side.

94
00:05:48,200 --> 00:05:53,960
Speaker 1: And that's just not how humans work. So yeah, I

95
00:05:55,440 --> 00:05:58,599
Speaker 1: try to show up emotionally in most of my content,

96
00:05:58,720 --> 00:06:01,160
Speaker 1: but especially when I'm talking about a subject that I

97
00:06:01,200 --> 00:06:04,239
Speaker 1: know most people just have no I mean most people

98
00:06:04,279 --> 00:06:09,200
Speaker 1: not only haven't served, they don't have a loved one

99
00:06:09,640 --> 00:06:13,440
Speaker 1: that like a close immediate loved one that has served.

100
00:06:13,520 --> 00:06:18,280
Speaker 1: And so there's just there's no way to connect to that.

101
00:06:18,440 --> 00:06:24,440
Speaker 1: And we live in a society where media has depicted

102
00:06:24,800 --> 00:06:29,760
Speaker 1: military service as this like romantic you know, oh, it's

103
00:06:29,839 --> 00:06:33,279
Speaker 1: the sacrifice and everyone that does it is so ready

104
00:06:33,279 --> 00:06:36,800
Speaker 1: to lay down their lives and just oh, and the

105
00:06:36,839 --> 00:06:40,120
Speaker 1: reality is like most of the people in the military

106
00:06:40,279 --> 00:06:45,240
Speaker 1: are just poor people that needed a path out of

107
00:06:45,320 --> 00:06:50,600
Speaker 1: poverty or out of whatever rural hellhole they were born in,

108
00:06:51,200 --> 00:06:55,200
Speaker 1: and like they just want to do their job and

109
00:06:55,920 --> 00:06:57,840
Speaker 1: go home at the end of the day. They're just

110
00:06:58,080 --> 00:06:59,320
Speaker 1: normal people.

111
00:07:00,000 --> 00:07:00,160
Speaker 2: Oh.

112
00:07:01,760 --> 00:07:04,320
Speaker 1: I think even for people on the left, like I said,

113
00:07:04,360 --> 00:07:06,960
Speaker 1: it can just be really hard to connect to it emotionally.

114
00:07:07,040 --> 00:07:11,320
Speaker 1: So there have been times where I've recorded rants where

115
00:07:11,320 --> 00:07:14,040
Speaker 1: I haven't posted but because you know, I'll watch it

116
00:07:14,080 --> 00:07:15,800
Speaker 1: back and I'll be like, ooh, okay, I was a

117
00:07:15,840 --> 00:07:17,800
Speaker 1: little too far on that one. I need to like

118
00:07:17,840 --> 00:07:20,560
Speaker 1: bring it down a few notts. But this was not

119
00:07:20,600 --> 00:07:21,320
Speaker 1: one of those times.

120
00:07:22,040 --> 00:07:25,560
Speaker 2: Kendall's righteous anger struck a chord. Her video rapped up

121
00:07:25,600 --> 00:07:29,280
Speaker 2: over three million views and sparked headlines across the country

122
00:07:29,600 --> 00:07:33,480
Speaker 2: like military wife rips, hegsas for risking husband's life and

123
00:07:33,600 --> 00:07:34,320
Speaker 2: viral video.

124
00:07:36,200 --> 00:07:40,600
Speaker 1: So I just went ahead and I was like, let's

125
00:07:40,600 --> 00:07:42,400
Speaker 1: do it. So I just went ahead and posted it.

126
00:07:42,480 --> 00:07:46,400
Speaker 1: And I genuinely I was expecting there to be people

127
00:07:46,440 --> 00:07:51,240
Speaker 1: that were angry about it. I wasn't expecting there to

128
00:07:51,280 --> 00:07:54,320
Speaker 1: be as much of a positive response to it that

129
00:07:54,400 --> 00:07:59,720
Speaker 1: there was. What was the response like, so on Twitter,

130
00:07:59,880 --> 00:08:04,800
Speaker 1: it was basically just immediately launched into like a week

131
00:08:04,800 --> 00:08:09,440
Speaker 1: and a half of thousands of people calling me fat essentially,

132
00:08:09,520 --> 00:08:12,400
Speaker 1: like that was the primary response is oh, well, you're

133
00:08:12,640 --> 00:08:17,440
Speaker 1: a fat bitch essentially, And then Instagram was a little

134
00:08:17,480 --> 00:08:21,520
Speaker 1: bit of both. I just got to the point where

135
00:08:23,000 --> 00:08:25,920
Speaker 1: I started oscillating back and forth between I'm not gonna

136
00:08:25,920 --> 00:08:28,200
Speaker 1: look at any of the comments, screw them. I said

137
00:08:28,240 --> 00:08:30,720
Speaker 1: what I said, and I'm just whatever. They can have

138
00:08:30,760 --> 00:08:32,960
Speaker 1: their feelings and I don't have to listen to them,

139
00:08:33,320 --> 00:08:37,080
Speaker 1: to then oscillating back to no, you know what, I

140
00:08:37,120 --> 00:08:38,800
Speaker 1: am going to read the comments and I'm going to

141
00:08:38,880 --> 00:08:40,679
Speaker 1: go in and I'm going to be mean back to

142
00:08:40,720 --> 00:08:43,000
Speaker 1: them because none of these motherfuckers know how to make

143
00:08:43,040 --> 00:08:47,720
Speaker 1: a funny insult. So I really for the first week

144
00:08:47,800 --> 00:08:49,720
Speaker 1: that's mostly what I was doing, just because it was

145
00:08:49,760 --> 00:08:56,800
Speaker 1: fun to me. And then weirdly on Instagram was first

146
00:08:56,800 --> 00:08:58,559
Speaker 1: of all, Instagram was like right in the middle in

147
00:08:58,640 --> 00:09:00,800
Speaker 1: terms of how people respond to it. But that was

148
00:09:00,840 --> 00:09:05,959
Speaker 1: also where I started hearing from a ton of military spouses,

149
00:09:06,080 --> 00:09:08,920
Speaker 1: a ton of active duty service members reaching out to

150
00:09:08,960 --> 00:09:11,360
Speaker 1: me and being like, oh my god, thank you, Like

151
00:09:11,400 --> 00:09:13,480
Speaker 1: we can't say this or we didn't know how to

152
00:09:13,559 --> 00:09:17,560
Speaker 1: say this, And so once I started getting those messages,

153
00:09:17,640 --> 00:09:19,400
Speaker 1: I didn't give a shit what they were saying on

154
00:09:19,440 --> 00:09:23,000
Speaker 1: Twitter at that point because like the people that responded

155
00:09:23,000 --> 00:09:25,640
Speaker 1: by telling me how repulsive they thought, I was, like,

156
00:09:27,559 --> 00:09:30,800
Speaker 1: they clearly have no idea what it's like for military families,

157
00:09:30,840 --> 00:09:34,760
Speaker 1: So who gives a shit about their opinions when the

158
00:09:34,840 --> 00:09:37,360
Speaker 1: actual military families are reaching out to me and saying

159
00:09:37,400 --> 00:09:38,200
Speaker 1: that they're grateful.

160
00:09:39,200 --> 00:09:42,040
Speaker 2: Military families cannot always be as outspoken as Kendall is,

161
00:09:42,360 --> 00:09:45,520
Speaker 2: but sometimes they are. Take what happened Back in February,

162
00:09:46,160 --> 00:09:50,200
Speaker 2: Secretary of Defense Pete Hegseth announced a series of hardline changes,

163
00:09:50,480 --> 00:09:54,199
Speaker 2: banning trans people from joining the military, halting gender reforming

164
00:09:54,240 --> 00:09:56,640
Speaker 2: care for service members, and restricting certain books of the

165
00:09:56,679 --> 00:10:00,160
Speaker 2: Department of Defense schools. Soon after, during a what is

166
00:10:00,200 --> 00:10:02,720
Speaker 2: It to a US military base in Germany, he was

167
00:10:02,760 --> 00:10:07,400
Speaker 2: met with unexpected pushback. About two dozen military families, mostly

168
00:10:07,440 --> 00:10:12,400
Speaker 2: young people, gathered to make their voices heard. They booed, heckled,

169
00:10:12,400 --> 00:10:17,080
Speaker 2: and even chanted d Ei d ei, you know, basically

170
00:10:17,120 --> 00:10:21,280
Speaker 2: saying you, Pete Hegseth, are the dei higher? You know?

171
00:10:21,600 --> 00:10:24,640
Speaker 2: It has to be a real specific kind of dynamic

172
00:10:24,679 --> 00:10:27,320
Speaker 2: where if you are a service member or somebody close

173
00:10:27,360 --> 00:10:30,440
Speaker 2: to a service member, you can't always say your opinion

174
00:10:30,480 --> 00:10:34,280
Speaker 2: about things or you know, even if you are not

175
00:10:34,400 --> 00:10:37,079
Speaker 2: a service member yourself, if you're close to one that

176
00:10:37,080 --> 00:10:39,320
Speaker 2: comes with its own kind of baggage, that might be

177
00:10:39,440 --> 00:10:42,160
Speaker 2: very silencing. So in ways, do you feel like you're

178
00:10:42,200 --> 00:10:46,240
Speaker 2: able to sort of be the person who you know

179
00:10:46,400 --> 00:10:49,880
Speaker 2: explains the emotionality behind this situation for folks who sometimes

180
00:10:49,920 --> 00:10:50,439
Speaker 2: really can't.

181
00:10:51,040 --> 00:10:56,040
Speaker 1: Yeah, I think so. But I'm also honestly, I'm really

182
00:10:56,280 --> 00:11:02,200
Speaker 1: inspired by a So even like a lot of people

183
00:11:02,280 --> 00:11:04,480
Speaker 1: have been saying, like, oh, what you said, being willing

184
00:11:04,520 --> 00:11:06,880
Speaker 1: to say that and like take that risk is really brave,

185
00:11:07,400 --> 00:11:11,240
Speaker 1: But I was actually inspired by the bravery of there

186
00:11:11,320 --> 00:11:15,160
Speaker 1: was a group of middle school age kids who have

187
00:11:15,320 --> 00:11:20,840
Speaker 1: a parent that is active duty military and is stationed

188
00:11:20,960 --> 00:11:25,240
Speaker 1: in I want to say, it's Stuttered, Germany. It's one

189
00:11:25,240 --> 00:11:28,200
Speaker 1: of the German bases. And right at the very beginning

190
00:11:28,480 --> 00:11:33,120
Speaker 1: of like right after Pete Hegseth had been confirmed, he

191
00:11:34,200 --> 00:11:37,960
Speaker 1: went to this military base and not only was he

192
00:11:38,040 --> 00:11:42,920
Speaker 1: met by a couple a dozen active duty military families,

193
00:11:43,600 --> 00:11:46,199
Speaker 1: like when he was getting off the plane, they were

194
00:11:46,240 --> 00:11:50,280
Speaker 1: standing there protesting him and yelling at him about how

195
00:11:50,360 --> 00:11:53,920
Speaker 1: he has been attacking the concept of DEI. But also

196
00:11:54,240 --> 00:11:58,480
Speaker 1: when he visited the middle school that's on base, the

197
00:11:58,480 --> 00:12:01,360
Speaker 1: there was like a fifth grader that led a walkout

198
00:12:01,640 --> 00:12:04,000
Speaker 1: of all of the students in response to him.

199
00:12:04,400 --> 00:12:08,080
Speaker 2: It's impressive, for sure, but not without risk for service

200
00:12:08,120 --> 00:12:12,040
Speaker 2: members and their families. Speaking your mind comes at a

201
00:12:12,120 --> 00:12:14,520
Speaker 2: high cost.

202
00:12:15,080 --> 00:12:17,440
Speaker 1: I don't think people understand how big of a risk

203
00:12:17,520 --> 00:12:23,480
Speaker 1: you're taking as a military family member, especially when you're deployed,

204
00:12:23,559 --> 00:12:28,679
Speaker 1: when you're stationed overseas, because anything that you do on

205
00:12:28,800 --> 00:12:34,200
Speaker 1: base is held against your sponsors, so your active duty

206
00:12:34,360 --> 00:12:38,160
Speaker 1: service member. I have seen families get kicked off of

207
00:12:38,240 --> 00:12:42,640
Speaker 1: bite base housing entirely because of something their kid did. So, like,

208
00:12:43,000 --> 00:12:46,120
Speaker 1: you know, where I'm where we live, there was a kid.

209
00:12:46,240 --> 00:12:50,559
Speaker 1: Usually it's like, you know, shitty teenagers being shitty teenagers

210
00:12:50,559 --> 00:12:53,120
Speaker 1: and like vandalizing something, and if they figure out who

211
00:12:53,120 --> 00:12:55,800
Speaker 1: did it, that whole family has to move off of

212
00:12:55,880 --> 00:13:00,160
Speaker 1: base housing. So like it is very very serious. So

213
00:13:00,200 --> 00:13:04,880
Speaker 1: the fact that these kids were brave enough to do

214
00:13:04,920 --> 00:13:09,120
Speaker 1: that knowing that, like, the stakes are even higher when

215
00:13:09,160 --> 00:13:11,640
Speaker 1: you're at a base overseas because if you get kicked

216
00:13:11,679 --> 00:13:15,240
Speaker 1: out out of base housing on an overseas base, where

217
00:13:15,240 --> 00:13:17,959
Speaker 1: the fuck are you going to live? You know, and

218
00:13:18,200 --> 00:13:22,400
Speaker 1: we already know that these this is an administration that

219
00:13:23,080 --> 00:13:26,880
Speaker 1: is willing to strand people overseas, like they did to

220
00:13:26,960 --> 00:13:32,240
Speaker 1: a bunch of the US AID employees that were stationed overseas,

221
00:13:32,280 --> 00:13:34,120
Speaker 1: and then they were just like, well, not only are

222
00:13:34,160 --> 00:13:36,319
Speaker 1: we eliminating your job, We're also not going to pay

223
00:13:36,360 --> 00:13:39,720
Speaker 1: to fly you back, so have fun figuring out how

224
00:13:39,720 --> 00:13:43,559
Speaker 1: to get home from Sudan or wherever. So it was

225
00:13:43,600 --> 00:13:50,000
Speaker 1: a huge risk that they took, and so I was

226
00:13:50,120 --> 00:13:55,880
Speaker 1: very inspired by them, and I recognize that I'm in

227
00:13:55,920 --> 00:14:02,720
Speaker 1: a very fortunate spot this like weird intersection of you know,

228
00:14:02,760 --> 00:14:05,360
Speaker 1: I work in communications, so I have the ability to

229
00:14:05,480 --> 00:14:08,440
Speaker 1: put together an argument at a level that maybe not

230
00:14:08,520 --> 00:14:10,680
Speaker 1: a lot of people have been trained to be able

231
00:14:10,720 --> 00:14:14,080
Speaker 1: to do. I also, because I work in comms and

232
00:14:14,120 --> 00:14:17,440
Speaker 1: because I work in politics, I have from the very

233
00:14:17,480 --> 00:14:24,160
Speaker 1: beginning kept my digital online footprint separate from my husband,

234
00:14:24,240 --> 00:14:27,920
Speaker 1: so like, I don't have to worry about, oh God,

235
00:14:28,280 --> 00:14:31,200
Speaker 1: if I say something now, I have ten years of

236
00:14:31,320 --> 00:14:34,400
Speaker 1: posting about him constantly that they could connect me to.

237
00:14:37,000 --> 00:14:40,760
Speaker 1: And I'm really lucky that I have a partner that

238
00:14:41,240 --> 00:14:44,760
Speaker 1: is like, yeah, girl, go get them. You know, like

239
00:14:44,960 --> 00:14:49,360
Speaker 1: he understands that my career and my activism is really

240
00:14:49,400 --> 00:14:52,400
Speaker 1: important to me, and as long as I'm not just

241
00:14:53,920 --> 00:14:58,280
Speaker 1: blatantly setting out to ruin his career, he is very

242
00:14:58,600 --> 00:15:01,000
Speaker 1: accepting of the fact that, like, this is a calculated

243
00:15:01,080 --> 00:15:06,440
Speaker 1: risk that I am taking. So yeah, all that together,

244
00:15:06,520 --> 00:15:08,720
Speaker 1: I think just put me in a very fortunate spot

245
00:15:08,720 --> 00:15:13,200
Speaker 1: where I could be that mouthpiece to try and put

246
00:15:13,240 --> 00:15:17,080
Speaker 1: it in people's face. And yeah, as long as I'm

247
00:15:17,120 --> 00:15:19,640
Speaker 1: in this position and I can do that, I'm going

248
00:15:19,760 --> 00:15:24,960
Speaker 1: to continue to do that because I think the military

249
00:15:25,000 --> 00:15:28,200
Speaker 1: industrial complex has gotten away with a lot for a

250
00:15:28,240 --> 00:15:30,360
Speaker 1: really long time, and a huge part of that is

251
00:15:30,400 --> 00:15:35,360
Speaker 1: because the people with the most knowledge and ability to

252
00:15:36,080 --> 00:15:38,440
Speaker 1: push back on it are also the people who were

253
00:15:38,480 --> 00:15:40,360
Speaker 1: most often silenced.

254
00:15:41,360 --> 00:15:44,160
Speaker 2: That silencing that you spoke to is so real for

255
00:15:44,200 --> 00:15:46,200
Speaker 2: so many issues, and I think the powers that be

256
00:15:46,800 --> 00:15:49,080
Speaker 2: kind of depend on the people who are closest to

257
00:15:49,160 --> 00:15:52,280
Speaker 2: the harm, who can speak to the harm most clearly

258
00:15:52,320 --> 00:15:56,240
Speaker 2: and saliently also being silent, and then the people who

259
00:15:56,440 --> 00:15:59,800
Speaker 2: can speak up fully. Putting myself in this camp are

260
00:15:59,800 --> 00:16:02,400
Speaker 2: some times really only able to do so from this

261
00:16:02,560 --> 00:16:06,400
Speaker 2: incredibly heady or logistical place, but they're speaking about something

262
00:16:06,440 --> 00:16:09,360
Speaker 2: that is deeply human and emotional at its core. Why

263
00:16:09,440 --> 00:16:11,280
Speaker 2: do you think it's so easy to sort of skip

264
00:16:11,320 --> 00:16:13,880
Speaker 2: over the human emotionality of these stories in favor of

265
00:16:13,920 --> 00:16:15,560
Speaker 2: things like facts and figures.

266
00:16:16,080 --> 00:16:19,080
Speaker 1: That's a really good question. I think it's probably a

267
00:16:19,120 --> 00:16:24,120
Speaker 1: couple of factors, because it's certainly not just like the

268
00:16:24,200 --> 00:16:28,080
Speaker 1: things impacting military service members that we do that too, right, Like,

269
00:16:29,040 --> 00:16:33,400
Speaker 1: just look at like the entire conversation about Gaza, right Like,

270
00:16:33,760 --> 00:16:37,160
Speaker 1: we get really focused because it's we can't understand what

271
00:16:37,160 --> 00:16:39,680
Speaker 1: it's like to be living there. We can't, like, I

272
00:16:39,960 --> 00:16:45,160
Speaker 1: have no way of even trying to put myself into

273
00:16:45,240 --> 00:16:48,240
Speaker 1: that position. So it's just I think it's partially that

274
00:16:48,280 --> 00:16:55,200
Speaker 1: it's an easier leap in people's brains. I also think

275
00:16:55,680 --> 00:17:01,080
Speaker 1: that again, it is partially just a democratic and leftist

276
00:17:01,960 --> 00:17:06,119
Speaker 1: impulse that we always jump to the facts of the

277
00:17:06,160 --> 00:17:08,720
Speaker 1: case and the logistics, like we want to know everything,

278
00:17:08,800 --> 00:17:10,480
Speaker 1: and we're just if we can just get you to

279
00:17:10,520 --> 00:17:12,879
Speaker 1: see that you're being hypocrites, we can finally get you

280
00:17:12,920 --> 00:17:19,800
Speaker 1: to stop. So I think that's partially it. And I

281
00:17:19,840 --> 00:17:22,359
Speaker 1: also think that there's some element to it that is

282
00:17:23,800 --> 00:17:26,280
Speaker 1: the American people, I think have been groomed to do

283
00:17:26,359 --> 00:17:30,320
Speaker 1: that somewhat like it's beneficial to the Trump administration if

284
00:17:30,359 --> 00:17:34,439
Speaker 1: we skip over the emotion of it, because it's a

285
00:17:34,480 --> 00:17:37,359
Speaker 1: lot easier for the Press Secretary for the White House

286
00:17:37,400 --> 00:17:41,520
Speaker 1: to get up there and be snide and dismissive and

287
00:17:42,200 --> 00:17:46,600
Speaker 1: like mocking of reporters when they ask questions related to

288
00:17:46,640 --> 00:17:50,480
Speaker 1: the logistics. It's a lot harder for her to be

289
00:17:50,520 --> 00:17:54,320
Speaker 1: dismissive and snide if the emotion of it is put

290
00:17:54,359 --> 00:18:00,199
Speaker 1: in their face. And yeah, so I think the the

291
00:18:01,080 --> 00:18:04,880
Speaker 1: Trump administration wants us to do that. They've been grooming

292
00:18:04,960 --> 00:18:06,959
Speaker 1: us to do that. I also think that the media

293
00:18:07,080 --> 00:18:12,360
Speaker 1: is kind of complicit in it because when you have

294
00:18:12,440 --> 00:18:18,040
Speaker 1: a media that is so overwhelmingly a certain type of person,

295
00:18:18,400 --> 00:18:23,480
Speaker 1: a certain socioeconomic status of person, like, they can only

296
00:18:23,520 --> 00:18:27,360
Speaker 1: convey the emotion of the experiences that they understand themselves.

297
00:18:27,840 --> 00:18:34,280
Speaker 1: And there aren't a lot of service members or military

298
00:18:34,320 --> 00:18:39,080
Speaker 1: spouses that go on to become reporters, and so it's

299
00:18:39,200 --> 00:18:42,119
Speaker 1: just most of the media doesn't have the ability to

300
00:18:42,119 --> 00:18:44,440
Speaker 1: write about it in the same way that like most

301
00:18:44,440 --> 00:18:47,680
Speaker 1: of the media has no idea about how to write

302
00:18:47,720 --> 00:18:51,800
Speaker 1: about the emotion of Gaza or the emotion of being

303
00:18:51,880 --> 00:18:56,199
Speaker 1: an undocumented immigrant, and so they don't, and so we

304
00:18:56,320 --> 00:18:59,879
Speaker 1: get further groomed into not thinking about it or carrying

305
00:19:00,080 --> 00:19:00,479
Speaker 1: about it.

306
00:19:03,640 --> 00:19:18,840
Speaker 2: Let's take a quick break at our back. The invasion

307
00:19:18,880 --> 00:19:21,919
Speaker 2: of Iraq was my political awakening as a young person.

308
00:19:22,440 --> 00:19:25,000
Speaker 2: My favorite cousin had enlisted a few years earlier, and

309
00:19:25,040 --> 00:19:27,000
Speaker 2: when President Bush announced that we were going to war,

310
00:19:27,640 --> 00:19:29,720
Speaker 2: I honestly thought we had to stop it so that

311
00:19:29,760 --> 00:19:33,840
Speaker 2: he wouldn't be deployed. Eventually, he was deployed, but this

312
00:19:34,040 --> 00:19:36,560
Speaker 2: was also the beginning of my time online. I was

313
00:19:36,560 --> 00:19:39,080
Speaker 2: on message boards looking for protests, trying to find folks

314
00:19:39,080 --> 00:19:43,200
Speaker 2: who were organizing. Now these days, everybody says they were

315
00:19:43,200 --> 00:19:45,959
Speaker 2: against the Iraq war, but that's not how I remember it.

316
00:19:46,640 --> 00:19:48,600
Speaker 2: What I remember is that if you were anti war

317
00:19:48,720 --> 00:19:51,200
Speaker 2: like I was, people would say, oh, so you don't

318
00:19:51,200 --> 00:19:55,159
Speaker 2: support the troops. Support our troops kind of became this

319
00:19:55,280 --> 00:19:58,480
Speaker 2: slogan that basically meant you could not criticize US military

320
00:19:58,480 --> 00:20:01,679
Speaker 2: policy because if you did, you were somehow against the

321
00:20:01,800 --> 00:20:06,439
Speaker 2: very people risking their lives. That was two thousand and three. Today,

322
00:20:06,600 --> 00:20:09,800
Speaker 2: it feels like things have really changed. I feel like

323
00:20:09,800 --> 00:20:12,280
Speaker 2: there was a time, especially for the Republican Party, where

324
00:20:12,600 --> 00:20:15,400
Speaker 2: the troops were these like exalted people that you had

325
00:20:15,440 --> 00:20:17,959
Speaker 2: to support the troops. You could not question the troops,

326
00:20:18,040 --> 00:20:20,640
Speaker 2: just like you were saying this like massive hero narrative

327
00:20:20,680 --> 00:20:22,679
Speaker 2: that these are people who are risking their lives and

328
00:20:22,680 --> 00:20:24,960
Speaker 2: we have to do everything to support them, including not

329
00:20:25,160 --> 00:20:27,920
Speaker 2: questioning what the government is doing with regards to service members.

330
00:20:28,320 --> 00:20:33,080
Speaker 2: And today seeing Republican leaders be so flippant about those

331
00:20:33,200 --> 00:20:35,840
Speaker 2: very same service members when dismissing the fact that they

332
00:20:35,840 --> 00:20:38,919
Speaker 2: needlessly endangered their lives with signal gad that just a

333
00:20:38,920 --> 00:20:41,080
Speaker 2: few years ago we were saying were the most important

334
00:20:41,080 --> 00:20:43,240
Speaker 2: people that you had to support the troops, It just

335
00:20:43,280 --> 00:20:45,919
Speaker 2: really makes clear that maybe they didn't really give that

336
00:20:46,000 --> 00:20:48,240
Speaker 2: much of a shit about service members and their families.

337
00:20:48,840 --> 00:20:53,320
Speaker 1: Yeah, there's actually a specific moment in our history as

338
00:20:53,320 --> 00:20:55,639
Speaker 1: a country that I would point to as being the

339
00:20:55,680 --> 00:21:00,399
Speaker 1: moment where that shift started to happen, and it was

340
00:21:00,760 --> 00:21:08,880
Speaker 1: during a Republican primary debate for the presidential race in

341
00:21:09,119 --> 00:21:11,840
Speaker 1: two thousand and eight, somewhere around there. If anybody wants

342
00:21:11,840 --> 00:21:13,879
Speaker 1: to watch what I'm talking about, it's literally featured in

343
00:21:13,920 --> 00:21:16,280
Speaker 1: an episode. This is embarrassing to site, but it's also

344
00:21:16,280 --> 00:21:21,199
Speaker 1: featured in an episode of the Newsroom. So there's a

345
00:21:21,240 --> 00:21:25,320
Speaker 1: moment where they are, you know, they have questions that

346
00:21:25,359 --> 00:21:30,000
Speaker 1: are being asked by general like normal people, and they

347
00:21:30,040 --> 00:21:34,760
Speaker 1: have a soldier who is currently he was stationed, he

348
00:21:34,840 --> 00:21:37,800
Speaker 1: was deployed to either Afghanistan or Iraq like as he

349
00:21:37,880 --> 00:21:41,119
Speaker 1: was asking this question, they were video videoing him in

350
00:21:41,760 --> 00:21:46,200
Speaker 1: and he says, because this is when don't ask, don't

351
00:21:46,200 --> 00:21:49,000
Speaker 1: tell was still a thing, and so he says, you know,

352
00:21:49,520 --> 00:21:54,320
Speaker 1: I am a gay service member and all I want

353
00:21:54,359 --> 00:21:58,159
Speaker 1: to do is serve my country. Like I this is

354
00:21:58,280 --> 00:22:00,920
Speaker 1: very important to me. I want to continue to serve.

355
00:22:01,080 --> 00:22:03,679
Speaker 1: I want to continue to put my life on the line.

356
00:22:04,080 --> 00:22:06,440
Speaker 1: And of course this is when there was like active war,

357
00:22:06,520 --> 00:22:09,440
Speaker 1: so putting your life on the line like really had

358
00:22:09,440 --> 00:22:11,960
Speaker 1: weight to it at the moment at that time. And

359
00:22:14,080 --> 00:22:17,000
Speaker 1: you know, I want to know, are there any anyone

360
00:22:17,000 --> 00:22:20,959
Speaker 1: on this stage, any candidate that would be willing to

361
00:22:21,000 --> 00:22:24,199
Speaker 1: do away with don't ask, don't tell so that service

362
00:22:24,240 --> 00:22:26,960
Speaker 1: members like me don't have to hide who I am

363
00:22:27,400 --> 00:22:31,399
Speaker 1: in order to serve my country. And not a single

364
00:22:31,960 --> 00:22:38,480
Speaker 1: person on that stage responded with any empathy towards him

365
00:22:38,720 --> 00:22:43,120
Speaker 1: with any respect for his service, and the overwhelming majority

366
00:22:43,119 --> 00:22:44,320
Speaker 1: of the audience booed him.

367
00:22:44,680 --> 00:22:46,919
Speaker 3: In twenty ten, when I was deployed to Iraq, I

368
00:22:46,920 --> 00:22:48,879
Speaker 3: had to lie about who I was because I'm a

369
00:22:48,880 --> 00:22:51,160
Speaker 3: gay soldier and I didn't want to lose my job.

370
00:22:52,000 --> 00:22:55,439
Speaker 3: My question is, under one of your presidencies, do you

371
00:22:55,480 --> 00:22:58,760
Speaker 3: intend to circumvent the progress that's been made for gay

372
00:22:58,760 --> 00:23:02,440
Speaker 3: and lesbian soldiers in the military.

373
00:23:02,880 --> 00:23:05,520
Speaker 1: Before he had even finished asking this question, the audience

374
00:23:06,040 --> 00:23:10,200
Speaker 1: was booing him. And I genuinely think that's the moment

375
00:23:10,240 --> 00:23:13,800
Speaker 1: when it started to shift. And I think that a

376
00:23:13,880 --> 00:23:17,760
Speaker 1: huge part of that shift is because the Republican Party

377
00:23:17,840 --> 00:23:20,760
Speaker 1: only wanted to focus on the emotional side of things

378
00:23:22,000 --> 00:23:28,359
Speaker 1: when they could be assured that military service members and

379
00:23:28,400 --> 00:23:33,960
Speaker 1: their families were a silent audience that they could tokenize

380
00:23:34,240 --> 00:23:37,800
Speaker 1: without any risk of them pushing back in the same

381
00:23:37,800 --> 00:23:42,520
Speaker 1: way that the Conservative Party still tokenize it, like talks

382
00:23:42,560 --> 00:23:45,280
Speaker 1: about like, oh, the unborn babies, and this is why

383
00:23:45,320 --> 00:23:48,040
Speaker 1: we're so you know, because they know unborn babies, like

384
00:23:48,240 --> 00:23:51,840
Speaker 1: literal zygotes cannot speak up and be like, hey, actually,

385
00:23:51,880 --> 00:23:56,080
Speaker 1: we do support women's right to choose, so uh, I

386
00:23:56,080 --> 00:23:58,480
Speaker 1: think that was part of it once they realized that,

387
00:23:58,600 --> 00:24:03,280
Speaker 1: like at any moment, if we invoke the military and

388
00:24:03,400 --> 00:24:08,800
Speaker 1: try to romanticize their service, somebody in that audience could

389
00:24:08,840 --> 00:24:13,000
Speaker 1: stand up and be like, you, motherfucker, how dare you

390
00:24:13,280 --> 00:24:16,760
Speaker 1: invoke our service when you are sending us to die?

391
00:24:17,280 --> 00:24:20,520
Speaker 1: You know, just like the guy that threw his shoes

392
00:24:20,960 --> 00:24:25,359
Speaker 1: at at George W. Bush. And that's why, you know.

393
00:24:26,040 --> 00:24:28,919
Speaker 1: In addition to my original signal Gate video I had,

394
00:24:29,960 --> 00:24:32,680
Speaker 1: I recorded myself when I called and talked to Senator

395
00:24:32,680 --> 00:24:37,919
Speaker 1: Mark Wayne Mullen's office since he's my senator, Kendall recorded

396
00:24:38,000 --> 00:24:42,240
Speaker 1: herself calling her Oklahoma Senator, Senator Mullens, and let's just

397
00:24:42,320 --> 00:24:46,160
Speaker 1: say her anger comes through loud and clear. Quick heads up,

398
00:24:46,280 --> 00:24:48,199
Speaker 1: there is a lot of strong language and what you're

399
00:24:48,240 --> 00:24:51,080
Speaker 1: about to hear. And so help me, God, if I

400
00:24:51,119 --> 00:24:53,919
Speaker 1: have to quit my fucking job to make sure that

401
00:24:54,040 --> 00:24:57,680
Speaker 1: I can drive to every fucking campaign and public event

402
00:24:57,720 --> 00:25:00,000
Speaker 1: that the senator has for the rest of his career,

403
00:25:00,359 --> 00:25:04,120
Speaker 1: I will make it my life's work to destroy his

404
00:25:04,240 --> 00:25:08,160
Speaker 1: career by making sure that every fucking Oklahoma knows how

405
00:25:08,240 --> 00:25:11,240
Speaker 1: few fucks he gave about my husband's life and the

406
00:25:11,320 --> 00:25:14,960
Speaker 1: lives of other active duty service members, But I do

407
00:25:15,040 --> 00:25:16,600
Speaker 1: want to make it very clear, and I hope that

408
00:25:16,640 --> 00:25:19,040
Speaker 1: you will take down this message and relay it to

409
00:25:19,119 --> 00:25:21,840
Speaker 1: the Senator to help encourage him to actually be a

410
00:25:21,880 --> 00:25:24,680
Speaker 1: man and make sure that I get a call set

411
00:25:24,720 --> 00:25:27,360
Speaker 1: up when I reach out to this scheduler. I want

412
00:25:27,400 --> 00:25:29,760
Speaker 1: you to let him know that if he doesn't reach

413
00:25:29,800 --> 00:25:32,600
Speaker 1: out to me, I'm recording every single time that I

414
00:25:32,640 --> 00:25:35,120
Speaker 1: have called his office and left a voicemailt or spoke

415
00:25:35,200 --> 00:25:37,239
Speaker 1: to an intern like you. I am recording all of

416
00:25:37,280 --> 00:25:39,560
Speaker 1: those and if I don't hear back from him, I

417
00:25:39,600 --> 00:25:42,879
Speaker 1: will be sending them to every possible newsroom, both in

418
00:25:42,920 --> 00:25:46,280
Speaker 1: Oklahoma and nationally, to let them know that the Senator

419
00:25:46,320 --> 00:25:48,359
Speaker 1: is too much of a coward to call back the

420
00:25:48,960 --> 00:25:52,840
Speaker 1: wife of one of the service members in his constituency

421
00:25:53,119 --> 00:25:55,520
Speaker 1: that was put at risk. And so help me God,

422
00:25:55,600 --> 00:25:58,360
Speaker 1: if I have to quit my fucking job to make

423
00:25:58,400 --> 00:26:01,760
Speaker 1: sure that I can drive to every fucking campaign and

424
00:26:01,800 --> 00:26:04,159
Speaker 1: public event that the Senator has for the rest of

425
00:26:04,160 --> 00:26:07,879
Speaker 1: his career, I will make it my life's work to

426
00:26:08,080 --> 00:26:12,119
Speaker 1: destroy his career by making sure that every fucking Oklahoma

427
00:26:12,240 --> 00:26:15,800
Speaker 1: knows how few fucks he gave about my husband's life.

428
00:26:15,800 --> 00:26:22,119
Speaker 1: And the lives of other active duty service members. If

429
00:26:22,160 --> 00:26:25,200
Speaker 1: I'd known that video was gonna go viral side note,

430
00:26:25,200 --> 00:26:28,800
Speaker 1: I would have cursed significantly less. I'm a little embarrassed

431
00:26:28,840 --> 00:26:30,960
Speaker 1: that I cursed this much on the phone to a

432
00:26:31,680 --> 00:26:36,320
Speaker 1: US senator's office, but I straight up said, like, I

433
00:26:36,400 --> 00:26:40,159
Speaker 1: don't care. If I have to quit my job and

434
00:26:40,320 --> 00:26:45,200
Speaker 1: make it my life's work to destroy Senator Mullen's career,

435
00:26:45,359 --> 00:26:47,800
Speaker 1: I will do it. I will drive to every fucking

436
00:26:47,960 --> 00:26:50,760
Speaker 1: campaign event he has for the rest of his life

437
00:26:51,200 --> 00:26:54,360
Speaker 1: and be in the audience and be there to remind

438
00:26:54,480 --> 00:26:57,920
Speaker 1: people of how few shits he gave about my husband's

439
00:26:57,920 --> 00:26:59,919
Speaker 1: life and about the lives of other service members.

440
00:27:00,440 --> 00:27:02,879
Speaker 2: And I.

441
00:27:04,640 --> 00:27:08,960
Speaker 1: Want not even just Republicans, I want all politicians to

442
00:27:09,200 --> 00:27:13,000
Speaker 1: have that fear at all times. I want them to

443
00:27:13,240 --> 00:27:16,480
Speaker 1: know at any moment if you tokenize someone, whether it's

444
00:27:16,760 --> 00:27:21,359
Speaker 1: over their military service, or do you're tokenizing DOCCA recipients

445
00:27:21,440 --> 00:27:24,320
Speaker 1: or whatever it is, I want them to know, at

446
00:27:24,359 --> 00:27:27,760
Speaker 1: any moment, someone could stand up in the audience and

447
00:27:27,920 --> 00:27:32,919
Speaker 1: remind everyone at your event of the actual humans behind

448
00:27:32,960 --> 00:27:37,159
Speaker 1: what you are talking about. And I think if we

449
00:27:37,240 --> 00:27:41,639
Speaker 1: could get politicians to feel that fear again on every topic.

450
00:27:42,720 --> 00:27:45,719
Speaker 1: I think politics in our country would look a lot different.

451
00:27:46,720 --> 00:27:49,879
Speaker 2: Yes, make politicians afraid again. And this is why I

452
00:27:49,920 --> 00:27:52,440
Speaker 2: love your content, because, as you say on your TikTok,

453
00:27:52,600 --> 00:27:56,240
Speaker 2: you're telling the stories of men in power and reminding

454
00:27:56,280 --> 00:28:00,480
Speaker 2: you not to respect them, and showing people but the

455
00:28:00,640 --> 00:28:04,200
Speaker 2: layers of ways that they have screwed people that they

456
00:28:04,280 --> 00:28:07,840
Speaker 2: supposedly say they care about. They've not upheld, you know,

457
00:28:08,119 --> 00:28:10,879
Speaker 2: anything looking like accountability to the people that they have

458
00:28:10,920 --> 00:28:13,760
Speaker 2: been elected to serve. I don't know, I really appreciate

459
00:28:13,760 --> 00:28:16,880
Speaker 2: that about your content, that it's like about shifting our

460
00:28:17,000 --> 00:28:19,600
Speaker 2: understanding of like who works for who, who should be

461
00:28:19,680 --> 00:28:22,680
Speaker 2: afraid of who? I think that's the magic of the internet,

462
00:28:22,760 --> 00:28:25,560
Speaker 2: you know, Like, think about how many videos we've seen

463
00:28:25,600 --> 00:28:30,320
Speaker 2: over the years of constituents trying to confront their elected

464
00:28:30,359 --> 00:28:35,400
Speaker 2: official in Congress on any topic, whether it's military, health care, whatever,

465
00:28:36,119 --> 00:28:42,000
Speaker 2: and almost without fail, those clips end with that member

466
00:28:42,040 --> 00:28:47,080
Speaker 2: of Congress getting into the congressional member only elevator and

467
00:28:47,120 --> 00:28:50,080
Speaker 2: then the doors slowly sliding shut in front of their

468
00:28:50,120 --> 00:28:54,600
Speaker 2: face and protecting them from actually having to have that

469
00:28:54,720 --> 00:28:59,440
Speaker 2: hard conversation with their constituent. And I think the magic

470
00:28:59,480 --> 00:29:03,040
Speaker 2: of the Internet is that it can it can knock

471
00:29:03,160 --> 00:29:09,360
Speaker 2: those sliding elevator doors down. They can't run from their

472
00:29:09,400 --> 00:29:12,360
Speaker 2: constituents in the same way that they can in real life.

473
00:29:12,440 --> 00:29:17,600
Speaker 2: And obviously, you know, there's there's other ways that they

474
00:29:17,640 --> 00:29:19,960
Speaker 2: can dodge that. When it's the Internet, right, they can

475
00:29:20,040 --> 00:29:23,160
Speaker 2: just pretend that they don't see it or whatever.

476
00:29:23,360 --> 00:29:30,360
Speaker 1: But I think that's where I'm trying to utilize my

477
00:29:30,480 --> 00:29:33,480
Speaker 1: content to prevent them from even being able to do that.

478
00:29:33,840 --> 00:29:36,840
Speaker 1: Like Mark Wayne Mullen cannot fucking pretend that he has

479
00:29:36,880 --> 00:29:39,479
Speaker 1: not seen my videos. And I know he can't pretend

480
00:29:39,520 --> 00:29:43,320
Speaker 1: that because there have been national reporters that have called

481
00:29:43,360 --> 00:29:46,280
Speaker 1: his office and asked him for comment on them. There's

482
00:29:46,280 --> 00:29:49,240
Speaker 1: not a chance in hell that man has not seen

483
00:29:49,320 --> 00:29:54,680
Speaker 1: every video I have ever made about him. And I

484
00:29:54,800 --> 00:30:02,080
Speaker 1: just I if I could that like snap my fingers

485
00:30:02,160 --> 00:30:06,560
Speaker 1: and have any wish come true. I would love to

486
00:30:06,640 --> 00:30:10,600
Speaker 1: be able to like dedicate significant portions of my time

487
00:30:10,800 --> 00:30:13,880
Speaker 1: and of my life to being able to train other

488
00:30:13,920 --> 00:30:17,280
Speaker 1: people on how to do what I'm doing right now.

489
00:30:17,360 --> 00:30:20,040
Speaker 1: Like I I don't want to be the one person

490
00:30:20,160 --> 00:30:22,640
Speaker 1: that's like seeing as like ooh, she's doing this thing,

491
00:30:22,760 --> 00:30:25,520
Speaker 1: you know, Like I want there to be so many

492
00:30:25,560 --> 00:30:29,960
Speaker 1: people doing the same exact thing that no one ever

493
00:30:30,080 --> 00:30:34,640
Speaker 1: again thinks that like what I'm doing is special or remarkable.

494
00:30:34,760 --> 00:30:38,320
Speaker 1: Like I if I could completely drive myself out of

495
00:30:38,360 --> 00:30:42,040
Speaker 1: a job as a content creator by getting enough people

496
00:30:42,120 --> 00:30:44,640
Speaker 1: other people to be doing the same thing, I would

497
00:30:45,000 --> 00:30:50,200
Speaker 1: because I really think that the internet is our best

498
00:30:50,840 --> 00:30:54,440
Speaker 1: shot at holding these cowards accountable.

499
00:30:57,720 --> 00:31:10,480
Speaker 2: More after a quick break, let's get right back into

500
00:31:10,560 --> 00:31:14,640
Speaker 2: it rather than just preaching to acquire. Kendall has an

501
00:31:14,760 --> 00:31:17,480
Speaker 2: entire series on how to talk the conservatives In a

502
00:31:17,560 --> 00:31:21,880
Speaker 2: digital climate that often prioritizes dunks and clapbacks. Kendall's taking

503
00:31:21,920 --> 00:31:24,520
Speaker 2: a different approach, using the Internet to have the kinds

504
00:31:24,520 --> 00:31:28,320
Speaker 2: of conversation that might actually change hearts and minds. It's

505
00:31:28,320 --> 00:31:31,000
Speaker 2: not about giving someone like me a quick dopamine fix

506
00:31:31,520 --> 00:31:36,080
Speaker 2: or a smug sense of superiority for her. It's about connection, persuasion,

507
00:31:36,400 --> 00:31:39,280
Speaker 2: and doing the harder work of actually reaching across divides.

508
00:31:40,120 --> 00:31:42,840
Speaker 2: I feel like you're able to occupy this very specific

509
00:31:42,960 --> 00:31:46,480
Speaker 2: lane where you're able to speak to people that might

510
00:31:46,520 --> 00:31:49,320
Speaker 2: not be there yet and train other people on how

511
00:31:49,360 --> 00:31:51,840
Speaker 2: they can do the same. Is that intentional with your

512
00:31:51,880 --> 00:31:53,520
Speaker 2: sort of content strategy here?

513
00:31:53,920 --> 00:31:57,160
Speaker 1: Yes, very much. So so, First of all, okay.

514
00:31:56,880 --> 00:31:59,240
Speaker 2: So this gets.

515
00:31:58,360 --> 00:32:00,840
Speaker 1: Dangerously close to a topic that I could rant about

516
00:32:00,840 --> 00:32:05,400
Speaker 1: four hours. Uh, but I think genuinely one of the

517
00:32:05,400 --> 00:32:12,480
Speaker 1: most destructive things that has happened in content creation writ

518
00:32:12,560 --> 00:32:14,680
Speaker 1: large over the last several years, and one of the

519
00:32:14,680 --> 00:32:20,080
Speaker 1: most destructive things that TikTok specifically has groomed people into doing,

520
00:32:20,800 --> 00:32:28,320
Speaker 1: is is viewing political content as solely through the lens

521
00:32:28,360 --> 00:32:33,040
Speaker 1: of those like clap back videos that lots of people do,

522
00:32:33,200 --> 00:32:36,520
Speaker 1: right Like, I'm gonna find a conservative doing the dumbest

523
00:32:36,600 --> 00:32:39,200
Speaker 1: fucking video I can, and then I'm gonna take it,

524
00:32:39,240 --> 00:32:41,400
Speaker 1: and I'm gonna respond to them. I'm gonna be smug

525
00:32:41,560 --> 00:32:44,640
Speaker 1: and snide, and I'm gonna tell you why they are

526
00:32:44,720 --> 00:32:46,920
Speaker 1: the dumbest piece of shit ever. And then I'm gonna

527
00:32:46,920 --> 00:32:49,719
Speaker 1: get one hundred thousand likes on it. I'm gonna make

528
00:32:49,760 --> 00:32:52,720
Speaker 1: thousands of dollars. But have I moved the needle in

529
00:32:52,800 --> 00:32:55,720
Speaker 1: any way on any issue? No, absolutely not.

530
00:32:57,120 --> 00:32:59,760
Speaker 2: So I have to tell you this comes up on

531
00:32:59,800 --> 00:33:02,320
Speaker 2: the show like this, I am right there with you.

532
00:33:02,400 --> 00:33:06,640
Speaker 2: I feel like that kind of content has made our

533
00:33:06,880 --> 00:33:10,960
Speaker 2: entire discourse, especially online, so much worse. It's so harmful

534
00:33:11,360 --> 00:33:13,520
Speaker 2: and The thing that gets me about it is that

535
00:33:13,640 --> 00:33:17,520
Speaker 2: like it is so like it's like when you eat

536
00:33:17,520 --> 00:33:20,080
Speaker 2: a bunch of McDonald's and it tastes so good and

537
00:33:20,120 --> 00:33:22,600
Speaker 2: then it's so empty in the end, like it is

538
00:33:22,680 --> 00:33:28,480
Speaker 2: so hollow and shallow, but it's so like it scratches

539
00:33:28,520 --> 00:33:30,400
Speaker 2: an itch I wish I didn't have. And I think

540
00:33:30,400 --> 00:33:34,040
Speaker 2: I'm seeing the results of that writ large on our

541
00:33:34,080 --> 00:33:36,640
Speaker 2: on our social media discourse. Do you know what I mean? Like,

542
00:33:36,680 --> 00:33:38,720
Speaker 2: I'll just say yes, I agree with you one hundred percent.

543
00:33:39,240 --> 00:33:41,400
Speaker 1: Yeah, yeah, I mean. And that's the thing, like, when

544
00:33:41,400 --> 00:33:43,720
Speaker 1: I say this about this content, I am not in

545
00:33:43,760 --> 00:33:46,400
Speaker 1: any way judging people that consume that content, because hell,

546
00:33:46,560 --> 00:33:49,800
Speaker 1: I consume that content. There are times where I really

547
00:33:49,920 --> 00:33:52,920
Speaker 1: enjoy that content, you know, especially when we're in a

548
00:33:52,920 --> 00:33:56,040
Speaker 1: society where it can feel like you are just like

549
00:33:56,120 --> 00:33:59,760
Speaker 1: screaming into a void and being like how are not?

550
00:34:00,360 --> 00:34:02,320
Speaker 1: How are there so many people that think this is

551
00:34:02,520 --> 00:34:06,400
Speaker 1: normal in any way? So like watching somebody get put

552
00:34:06,440 --> 00:34:10,439
Speaker 1: in their place can feel satisfying, but first of all,

553
00:34:11,120 --> 00:34:14,120
Speaker 1: those people are not getting put in their place. Most

554
00:34:14,160 --> 00:34:17,880
Speaker 1: of the people being featured in those videos are thrilled

555
00:34:18,360 --> 00:34:21,800
Speaker 1: when they get featured in a leftist clapback video, because

556
00:34:21,840 --> 00:34:25,279
Speaker 1: all it does is drive up their engagement. These are

557
00:34:25,560 --> 00:34:31,279
Speaker 1: just dollar Tree brand, like store brand Tommy laurens in

558
00:34:31,360 --> 00:34:34,919
Speaker 1: the same way that Tommy Lauren used to intentionally piss

559
00:34:34,960 --> 00:34:39,960
Speaker 1: people off in order to increase her stardom. At least

560
00:34:40,239 --> 00:34:44,359
Speaker 1: she was like actually trying to reach, like you know,

561
00:34:44,600 --> 00:34:47,480
Speaker 1: actually being on television. These people are settling for like

562
00:34:47,680 --> 00:34:50,000
Speaker 1: I just want to get ten thousand views on my

563
00:34:50,120 --> 00:34:52,480
Speaker 1: TikTok video and make one hundred dollars off of it.

564
00:34:52,520 --> 00:35:00,400
Speaker 1: But like it's the same general process, right, and like

565
00:35:01,480 --> 00:35:04,320
Speaker 1: they just the two sides feed off of one another,

566
00:35:04,880 --> 00:35:08,560
Speaker 1: and it's just this like circular. I mean, it's honestly,

567
00:35:08,719 --> 00:35:15,719
Speaker 1: it's just and a digital and political human centipede. They're

568
00:35:15,920 --> 00:35:18,960
Speaker 1: just regurgitating the same shit into each other's mouth over

569
00:35:19,000 --> 00:35:21,560
Speaker 1: and over and over again. Like not to be too graphic,

570
00:35:21,680 --> 00:35:23,080
Speaker 1: but like that's what's happening.

571
00:35:23,600 --> 00:35:23,960
Speaker 2: And so.

572
00:35:25,719 --> 00:35:29,400
Speaker 1: Not only does that content not move the needle, I

573
00:35:29,520 --> 00:35:35,839
Speaker 1: genuinely believe it pushes us further apart. It like increases

574
00:35:36,360 --> 00:35:41,279
Speaker 1: the divide, and then politicians respond to that widening divide

575
00:35:41,760 --> 00:35:45,440
Speaker 1: by panicking and being like, oh, well, now we have

576
00:35:45,560 --> 00:35:47,880
Speaker 1: to compromise on our values. So that we can like

577
00:35:48,120 --> 00:35:51,120
Speaker 1: chase after that other side that's moving further away from us.

578
00:35:51,120 --> 00:35:53,440
Speaker 1: And then you know, that's how you get politicians like

579
00:35:53,520 --> 00:35:57,359
Speaker 1: John Fetterman just out there calling himself the Democrat and

580
00:35:57,400 --> 00:36:02,040
Speaker 1: doing all the Republican things. And like, I genuinely believe,

581
00:36:02,080 --> 00:36:05,000
Speaker 1: we don't have to compromise on any of our values.

582
00:36:05,239 --> 00:36:08,399
Speaker 1: We just have to figure out how to talk about

583
00:36:08,440 --> 00:36:11,680
Speaker 1: our values in a way that appeals to a conservative

584
00:36:12,160 --> 00:36:18,799
Speaker 1: morality system. And so that's what I'm now focusing a

585
00:36:18,800 --> 00:36:21,720
Speaker 1: lot of my content on doing, is trying to help

586
00:36:21,760 --> 00:36:27,120
Speaker 1: people learn that. Like you know, I use the moral

587
00:36:27,160 --> 00:36:30,560
Speaker 1: foundation theory that Jonathan Hate came up with, where he said, like,

588
00:36:30,600 --> 00:36:35,040
Speaker 1: there's six different foundational blocks that people build their morality

589
00:36:35,480 --> 00:36:38,400
Speaker 1: off of, and people on the left tend to focus

590
00:36:38,480 --> 00:36:41,879
Speaker 1: on two of those six, people on the right tend

591
00:36:41,960 --> 00:36:43,880
Speaker 1: to focus on three of the six, and then the

592
00:36:43,920 --> 00:36:48,560
Speaker 1: sixth one both sides like. And so I think the

593
00:36:48,600 --> 00:36:51,359
Speaker 1: biggest issue we have with leftist messaging right now is

594
00:36:51,440 --> 00:36:55,880
Speaker 1: we're talking about these values in a way that appeals

595
00:36:55,920 --> 00:37:00,680
Speaker 1: to our morality system, not theirs. And we can talk

596
00:37:00,719 --> 00:37:03,839
Speaker 1: about it in a way that appeals to I mean,

597
00:37:03,920 --> 00:37:07,279
Speaker 1: like for example, immigration, like we're talking about it from

598
00:37:07,280 --> 00:37:09,759
Speaker 1: the perspective of, like this, you know, you have to

599
00:37:09,800 --> 00:37:13,520
Speaker 1: be fair. It is like horrific and unfair to think

600
00:37:13,520 --> 00:37:17,399
Speaker 1: about deporting a DACA recipient to a country that they

601
00:37:17,440 --> 00:37:20,040
Speaker 1: have never called home. They might not even speak about

602
00:37:20,040 --> 00:37:22,680
Speaker 1: the speak that language, you know. All and all of

603
00:37:22,719 --> 00:37:25,880
Speaker 1: that's true. All of that's true, And in a perfect world,

604
00:37:26,239 --> 00:37:28,680
Speaker 1: at least in my opinion, that would be enough to

605
00:37:28,719 --> 00:37:31,719
Speaker 1: convince people. But the reality is we don't live in

606
00:37:31,760 --> 00:37:34,480
Speaker 1: a perfect world, and there's fifty percent of the country

607
00:37:34,520 --> 00:37:37,279
Speaker 1: that doesn't give a shit that it's not fair. But

608
00:37:37,360 --> 00:37:39,480
Speaker 1: if we can talk about it from the perspective of

609
00:37:41,040 --> 00:37:46,680
Speaker 1: what that DACA recipient means to our country, like, you know,

610
00:37:46,760 --> 00:37:49,759
Speaker 1: they're big into patriotism, And if we can talk about

611
00:37:49,840 --> 00:37:53,520
Speaker 1: immigration from the perspective of, like, we are this incredible

612
00:37:53,600 --> 00:37:56,520
Speaker 1: nation that is welcoming these people in, Like these are

613
00:37:56,560 --> 00:38:02,600
Speaker 1: people that believe in our wors of life so strongly

614
00:38:03,280 --> 00:38:05,640
Speaker 1: that they just want to be a part of it,

615
00:38:05,960 --> 00:38:10,120
Speaker 1: you know, And if we can talk about those values

616
00:38:10,160 --> 00:38:14,880
Speaker 1: in that way, then we can actually start to like

617
00:38:15,120 --> 00:38:18,239
Speaker 1: narrow that divide a little bit and hopefully win some

618
00:38:18,320 --> 00:38:26,040
Speaker 1: of those people over, because unfortunately, talking at them endlessly

619
00:38:26,239 --> 00:38:30,520
Speaker 1: from our perspective, and especially creating videos where we're making

620
00:38:30,560 --> 00:38:35,120
Speaker 1: fun of them and like you know, making money off

621
00:38:35,160 --> 00:38:38,480
Speaker 1: of being snigged towards them. That's not going to pull

622
00:38:38,520 --> 00:38:42,880
Speaker 1: them in. That is not going to get them to

623
00:38:42,960 --> 00:38:44,280
Speaker 1: change their mind on anything.

624
00:38:44,840 --> 00:38:46,839
Speaker 2: Okay, if you're like me, this might be the moment

625
00:38:46,840 --> 00:38:49,160
Speaker 2: where you're thinking, why is it on me to change

626
00:38:49,160 --> 00:38:52,239
Speaker 2: these people's minds? Kendall gets that, she really does.

627
00:38:53,200 --> 00:38:56,879
Speaker 1: I understand the criticism that probably a lot of people

628
00:38:56,920 --> 00:39:01,960
Speaker 1: would have for my strategy by saying, like, you know,

629
00:39:02,400 --> 00:39:05,520
Speaker 1: these are people that have been super bigoted. They've been

630
00:39:05,600 --> 00:39:09,000
Speaker 1: so racist, they've been so homophobic and transphobic and all

631
00:39:09,040 --> 00:39:11,840
Speaker 1: of the phobics, Like I don't want to have to

632
00:39:11,880 --> 00:39:13,400
Speaker 1: be nice to them. I don't want to have to

633
00:39:13,400 --> 00:39:16,440
Speaker 1: do that labor. And I think that's totally fair for

634
00:39:16,520 --> 00:39:20,200
Speaker 1: people to say, particularly more than any other group of people.

635
00:39:20,280 --> 00:39:23,920
Speaker 1: I think black women one hundred percent get to say, like,

636
00:39:24,000 --> 00:39:26,520
Speaker 1: you know what, motherfuckers, the ninety two percent is tired,

637
00:39:26,760 --> 00:39:29,879
Speaker 1: so like, you do your jobs, We're gonna be doing

638
00:39:29,920 --> 00:39:34,000
Speaker 1: our thing. Fuck you. So like, I get that, But

639
00:39:35,719 --> 00:39:38,400
Speaker 1: any person on the left that has a skin tone

640
00:39:38,480 --> 00:39:42,960
Speaker 1: like mine, absolutely the fuck not like you don't get

641
00:39:42,960 --> 00:39:45,759
Speaker 1: to do what is fun or easy. Right now. We

642
00:39:45,920 --> 00:39:48,080
Speaker 1: have work to do to repair the shit that we

643
00:39:48,239 --> 00:39:53,400
Speaker 1: stood by as it got broken. And so I just

644
00:39:54,680 --> 00:39:58,280
Speaker 1: I want more people to start looking at their content.

645
00:39:58,640 --> 00:40:01,920
Speaker 1: More content creators and articulars start looking at their content

646
00:40:02,280 --> 00:40:05,280
Speaker 1: from the perspective of what impact is this actually having

647
00:40:05,760 --> 00:40:09,400
Speaker 1: beyond the check that I get from TikTok on the

648
00:40:09,440 --> 00:40:14,879
Speaker 1: fifteenth of every month. And I'm really really worried about

649
00:40:15,080 --> 00:40:18,880
Speaker 1: what's going to happen if more content creators don't start

650
00:40:18,880 --> 00:40:23,120
Speaker 1: doing that, because I get why they don't write like

651
00:40:23,800 --> 00:40:26,640
Speaker 1: my content where I'm talking about here's how to talk

652
00:40:26,680 --> 00:40:30,360
Speaker 1: to a conservative about universal healthcare or immigration or whatever.

653
00:40:31,160 --> 00:40:36,640
Speaker 1: It doesn't perform anywhere nearly as well as you know,

654
00:40:36,960 --> 00:40:40,160
Speaker 1: these clapback videos. It also doesn't perform nearly as well

655
00:40:40,239 --> 00:40:45,000
Speaker 1: as like my emotional videos that have gone viral. And so,

656
00:40:47,239 --> 00:40:51,040
Speaker 1: to use your metaphor of the McDonald's right, you eat

657
00:40:51,040 --> 00:40:54,200
Speaker 1: it and you don't feel satisfied. It is a little

658
00:40:54,200 --> 00:40:57,400
Speaker 1: bit of a chicken and egg situation where it's like, Okay,

659
00:40:57,440 --> 00:41:02,120
Speaker 1: we can keep telling these content creators to create more

660
00:41:02,239 --> 00:41:05,799
Speaker 1: useful content. We can keep telling McDonald's you need to

661
00:41:05,880 --> 00:41:10,160
Speaker 1: sell more vegetables. But if people keep going into McDonald's

662
00:41:10,239 --> 00:41:14,200
Speaker 1: and only buying the French fries, eventually McDonald's is gonna

663
00:41:14,200 --> 00:41:17,160
Speaker 1: be like, we can't do like you motherfucker said you

664
00:41:17,200 --> 00:41:19,920
Speaker 1: wanted vegetables, and then none of you bought vegetables, and

665
00:41:20,000 --> 00:41:22,759
Speaker 1: so we're going back to just selling French fries. And

666
00:41:22,840 --> 00:41:27,280
Speaker 1: I think that there is a responsibility on the side

667
00:41:27,320 --> 00:41:31,880
Speaker 1: of people who are consuming content to start really trying

668
00:41:31,920 --> 00:41:36,160
Speaker 1: to work against our own impulses that we've been groomed

669
00:41:36,200 --> 00:41:41,160
Speaker 1: to have to where like you know, hell, I have ADHD.

670
00:41:41,320 --> 00:41:43,840
Speaker 1: Anytime I see like a ten minute long video on TikTok,

671
00:41:43,880 --> 00:41:44,640
Speaker 1: I'm like, oh my.

672
00:41:44,680 --> 00:41:47,839
Speaker 2: God, why are you left a minute? Shut up?

673
00:41:47,960 --> 00:41:49,920
Speaker 1: Can you not tell me in like forty five seconds?

674
00:41:49,960 --> 00:41:55,160
Speaker 1: Come on, guys. But like, I'm really trying to fight

675
00:41:55,239 --> 00:42:00,399
Speaker 1: that impulse more often now because I recognize is if

676
00:42:00,440 --> 00:42:04,360
Speaker 1: I just scroll on I'm doing I'm being the person

677
00:42:04,440 --> 00:42:07,320
Speaker 1: standing outside of McDonald's yelling at them for not selling

678
00:42:07,320 --> 00:42:12,000
Speaker 1: me vegetables when I wasn't buying vegetables. And so I

679
00:42:12,000 --> 00:42:14,240
Speaker 1: think it has to be an effort on both sides

680
00:42:14,800 --> 00:42:19,680
Speaker 1: of the process, both the creation and the consumption and

681
00:42:19,719 --> 00:42:25,319
Speaker 1: I think if we don't fix it, uh, I don't

682
00:42:25,320 --> 00:42:28,080
Speaker 1: know where we'll be in a few years in our

683
00:42:28,120 --> 00:42:33,760
Speaker 1: country because right now the right is kicking our ass

684
00:42:33,760 --> 00:42:36,759
Speaker 1: online and we have to figure out a way to

685
00:42:36,760 --> 00:42:37,160
Speaker 1: fix it.

686
00:42:37,239 --> 00:42:41,600
Speaker 2: I've had a personal sort of quandary, you know, after

687
00:42:41,640 --> 00:42:45,239
Speaker 2: Trump was elected. I was really getting a lot of

688
00:42:45,520 --> 00:42:48,600
Speaker 2: shot in freud I say that word wrong from like

689
00:42:49,040 --> 00:42:51,560
Speaker 2: oh no, like I never thought the leopard was gonna

690
00:42:51,560 --> 00:42:55,280
Speaker 2: eat my faith and something about that those that content

691
00:42:55,400 --> 00:42:58,160
Speaker 2: was like clearly feeling a need for me. And then

692
00:42:58,200 --> 00:43:00,640
Speaker 2: someone was like, you know, you know, so I live

693
00:43:00,640 --> 00:43:03,120
Speaker 2: in DC, and when all when when federal workers were

694
00:43:03,160 --> 00:43:07,080
Speaker 2: all being fired and like targeted, people were saying like, oh,

695
00:43:07,120 --> 00:43:09,239
Speaker 2: a lot of those federal workers were Trump voters, and

696
00:43:09,280 --> 00:43:11,040
Speaker 2: so they're you know, they're getting what they asked for.

697
00:43:11,040 --> 00:43:12,480
Speaker 2: Maybe they didn't think it was going to be them.

698
00:43:12,640 --> 00:43:14,759
Speaker 2: And someone was like, you know, we kind of need

699
00:43:14,760 --> 00:43:16,799
Speaker 2: these people. Like if the people who are speaking up

700
00:43:16,800 --> 00:43:19,399
Speaker 2: and being like dang, I feel like I got, you know,

701
00:43:19,520 --> 00:43:21,919
Speaker 2: taken for a ride by Trump, somebody that I put

702
00:43:21,960 --> 00:43:24,080
Speaker 2: my faith in and my trusted and he turned on me.

703
00:43:24,880 --> 00:43:28,120
Speaker 2: I understand. Nobody understands the impulse to laugh at those

704
00:43:28,120 --> 00:43:30,319
Speaker 2: people more than me, and I'm sad to say that

705
00:43:30,360 --> 00:43:33,400
Speaker 2: I have, But at a certain point, don't we want

706
00:43:33,480 --> 00:43:36,480
Speaker 2: people who are able to see that they made a

707
00:43:36,520 --> 00:43:38,879
Speaker 2: mistake and are able to call out that like they

708
00:43:39,000 --> 00:43:43,520
Speaker 2: they were misled. I feel angry that these people abdicated

709
00:43:43,560 --> 00:43:46,520
Speaker 2: their responsibility to put effort into who they voted for

710
00:43:46,600 --> 00:43:50,640
Speaker 2: and be a thoughtful consumer of you know, American democracy,

711
00:43:51,000 --> 00:43:56,439
Speaker 2: but sort of just stroking my rage boner when when

712
00:43:56,440 --> 00:43:59,279
Speaker 2: they speak up about it isn't getting us anywhere? Don't

713
00:43:59,280 --> 00:44:01,120
Speaker 2: we kind of like like, isn't it sort of what

714
00:44:01,160 --> 00:44:03,279
Speaker 2: we want for them to be talking about, Like, oh, yeah,

715
00:44:03,320 --> 00:44:05,959
Speaker 2: I'm miss I was mislied. I got it wrong, right, yeah?

716
00:44:06,000 --> 00:44:10,839
Speaker 1: Well, And the weird thing is is, honestly, I hate

717
00:44:10,880 --> 00:44:13,479
Speaker 1: to break it to other people on the left, we're

718
00:44:13,480 --> 00:44:18,799
Speaker 1: not always great at guessing which people were Trump supporters.

719
00:44:18,840 --> 00:44:21,680
Speaker 1: I can't even tell you how many leftists I've had

720
00:44:21,680 --> 00:44:25,120
Speaker 1: come into my comments, especially on Instagram and be like, well,

721
00:44:25,200 --> 00:44:28,040
Speaker 1: you got what you wanted, you got what you voted for,

722
00:44:28,120 --> 00:44:31,840
Speaker 1: so fuck you, And I'm like, uh, my friend, I

723
00:44:31,960 --> 00:44:34,920
Speaker 1: not only voted for Kamala Harris, I literally worked for

724
00:44:35,000 --> 00:44:38,160
Speaker 1: her campaign. I could not have been more kammala hair,

725
00:44:38,360 --> 00:44:42,799
Speaker 1: like pro kamala in this election cycle if I tried, right,

726
00:44:43,120 --> 00:44:46,759
Speaker 1: But like all they see is you're talking about the military.

727
00:44:46,920 --> 00:44:50,000
Speaker 1: You're married to somebody in the military, obviously you must

728
00:44:50,040 --> 00:44:54,200
Speaker 1: be on the right, And like that's bad because like

729
00:44:54,560 --> 00:44:59,000
Speaker 1: if you're being like if you're pushing me away as

730
00:44:59,040 --> 00:45:02,000
Speaker 1: somebody that's like dedicating my life to trying to win

731
00:45:02,200 --> 00:45:05,320
Speaker 1: things for our side of the aisle, how are people

732
00:45:05,320 --> 00:45:08,160
Speaker 1: that are actually on the right that are like conceding

733
00:45:08,160 --> 00:45:10,400
Speaker 1: that they messed up. How are they going to respond

734
00:45:10,400 --> 00:45:12,319
Speaker 1: to those kind of comments. You're only going to push

735
00:45:12,360 --> 00:45:16,840
Speaker 1: him back into the cult. But I will also say

736
00:45:17,360 --> 00:45:21,799
Speaker 1: I do understand like the need for that, Like I

737
00:45:21,800 --> 00:45:25,279
Speaker 1: can't even tell you how many Francesca Ramsey videos I've

738
00:45:25,280 --> 00:45:28,960
Speaker 1: watched of her with her ukulele singing about the leopards

739
00:45:29,000 --> 00:45:31,440
Speaker 1: eating their face. And so I get it, and I

740
00:45:31,480 --> 00:45:33,840
Speaker 1: think we can still have that content. It's just a

741
00:45:33,880 --> 00:45:38,560
Speaker 1: matter of making sure it's targeting the people that actually

742
00:45:39,960 --> 00:45:44,120
Speaker 1: deserve it and that aren't just everyday people. So like

743
00:45:45,000 --> 00:45:50,200
Speaker 1: I will watch every possible video of Dave Portnoy being

744
00:45:50,280 --> 00:45:54,479
Speaker 1: sad about losing twenty million dollars, Like, fuck that guy.

745
00:45:54,600 --> 00:45:58,200
Speaker 1: Fuck you, Dave Fortnoy, Like I don't feel sorry for him.

746
00:45:58,360 --> 00:46:01,279
Speaker 1: He deserves it, and like everyone should laugh at him

747
00:46:01,480 --> 00:46:03,839
Speaker 1: in the same way that like, there is not a

748
00:46:03,880 --> 00:46:06,480
Speaker 1: song in the world that you could set that video

749
00:46:06,560 --> 00:46:09,279
Speaker 1: of Richard Spencer getting punched in the head too, that

750
00:46:09,360 --> 00:46:11,799
Speaker 1: I wouldn't stop and watch it, like four times in

751
00:46:11,800 --> 00:46:16,400
Speaker 1: a row, every time forever, my favorite video. Like, but

752
00:46:17,080 --> 00:46:21,759
Speaker 1: there's a difference between Dave Portnoy and Richard Spencer and

753
00:46:22,280 --> 00:46:27,239
Speaker 1: like random single mom of three working, you know, as

754
00:46:27,280 --> 00:46:30,200
Speaker 1: an assistant manager at a rash dress for less and

755
00:46:30,520 --> 00:46:36,520
Speaker 1: living in a prefab trailer park. You know, like she

756
00:46:36,719 --> 00:46:42,320
Speaker 1: doesn't need to be mocked because ultimately she got tricked,

757
00:46:42,560 --> 00:46:47,720
Speaker 1: she got hoodwinked. That does not excuse whatever horrible shit

758
00:46:47,880 --> 00:46:50,759
Speaker 1: she has said or even continues to say to other

759
00:46:50,800 --> 00:46:57,920
Speaker 1: people online, particularly marginalized communities. But if she is coming

760
00:46:57,960 --> 00:47:02,560
Speaker 1: out and saying, hey, I screwed up. I realized I

761
00:47:02,600 --> 00:47:05,239
Speaker 1: screwed up when I went to get my groceries and

762
00:47:05,280 --> 00:47:08,839
Speaker 1: I found out my food stamps got cut off or whatever, Like,

763
00:47:09,800 --> 00:47:13,399
Speaker 1: we can have discussions with her later about her other

764
00:47:13,600 --> 00:47:19,360
Speaker 1: problematic shit that she's doing. But when she first says, hey, guys,

765
00:47:20,000 --> 00:47:23,200
Speaker 1: I think we screwed up. I think our response should

766
00:47:23,239 --> 00:47:30,080
Speaker 1: be yes, please welcome, welcome to our side. Now, how

767
00:47:30,120 --> 00:47:33,680
Speaker 1: can we help you go convince ten of your friends

768
00:47:34,120 --> 00:47:37,080
Speaker 1: that they also screwed up. Because it's not just about

769
00:47:37,520 --> 00:47:39,760
Speaker 1: making sure we don't push her back into the cult.

770
00:47:40,040 --> 00:47:43,279
Speaker 1: It's about recognizing that the people that are in her

771
00:47:43,400 --> 00:47:47,600
Speaker 1: life are going to listen to her all day long

772
00:47:48,280 --> 00:47:51,560
Speaker 1: and like, take that that is going to mean more

773
00:47:51,600 --> 00:47:55,239
Speaker 1: to them than you could show them every single video

774
00:47:55,320 --> 00:47:57,280
Speaker 1: I have ever made, and it's not going to convince

775
00:47:57,320 --> 00:48:00,239
Speaker 1: them as much as her talking to them. And so

776
00:48:01,200 --> 00:48:03,600
Speaker 1: we need to stop pushing people back into the cult,

777
00:48:03,640 --> 00:48:07,160
Speaker 1: and we need to start giving them the tools necessary

778
00:48:07,560 --> 00:48:13,759
Speaker 1: and empowering them to start being the pipeline out of

779
00:48:13,800 --> 00:48:18,319
Speaker 1: that for the people in their life. Like, there's a

780
00:48:18,320 --> 00:48:22,120
Speaker 1: reason why the alt right pipeline is so attractive to people.

781
00:48:22,400 --> 00:48:27,560
Speaker 1: It's because it's easy to go down and everyone's nice

782
00:48:27,560 --> 00:48:31,400
Speaker 1: to you along the way, and everyone like tells you

783
00:48:31,480 --> 00:48:34,160
Speaker 1: how smart you are for like getting into the pipeline

784
00:48:34,200 --> 00:48:37,040
Speaker 1: in the first place. So, like, we need to start

785
00:48:37,040 --> 00:48:39,520
Speaker 1: building the pipeline going the opposite direction.

786
00:48:42,280 --> 00:48:55,160
Speaker 2: More after a quick break, let's get right back into it.

787
00:48:57,000 --> 00:48:59,680
Speaker 2: As someone who is so good at putting your opinions

788
00:48:59,719 --> 00:49:03,239
Speaker 2: out of the world using social media, even when there's

789
00:49:03,320 --> 00:49:06,040
Speaker 2: this like chilling effect to do so, even when you're like,

790
00:49:06,520 --> 00:49:09,000
Speaker 2: you know, dog biled for doing so. What keeps you

791
00:49:09,080 --> 00:49:12,719
Speaker 2: doing it? Like, what keeps you logging on and continuing

792
00:49:12,760 --> 00:49:14,080
Speaker 2: to put your ideas out there?

793
00:49:16,160 --> 00:49:19,840
Speaker 1: I mean, part of it is Okay, this is going

794
00:49:19,920 --> 00:49:25,600
Speaker 1: to sound really weird, but I weirdly think having depression

795
00:49:26,400 --> 00:49:29,040
Speaker 1: has made it a lot easier to do this and

796
00:49:29,080 --> 00:49:33,880
Speaker 1: survive it, because I know I am at the end

797
00:49:33,880 --> 00:49:36,799
Speaker 1: of the day if I have to lay down and

798
00:49:36,920 --> 00:49:40,320
Speaker 1: close my eyes and go to sleep, and my options

799
00:49:40,360 --> 00:49:43,560
Speaker 1: are either I'm going to be thinking about the fact

800
00:49:43,800 --> 00:49:47,520
Speaker 1: that I said nothing, I did nothing, are were Our

801
00:49:48,120 --> 00:49:52,759
Speaker 1: democracy is sliding further into fascism. More people are being hurt,

802
00:49:52,960 --> 00:49:56,000
Speaker 1: more innocent people are being deported to an ill Salvadorian

803
00:49:56,080 --> 00:50:00,920
Speaker 1: concentration camp. Because I said nothing. That is a lot

804
00:50:01,000 --> 00:50:05,600
Speaker 1: harder for me to live with than if I do

805
00:50:05,680 --> 00:50:07,840
Speaker 1: say stuff. And when I lay down at night and

806
00:50:07,840 --> 00:50:10,000
Speaker 1: I close my eyes, the last thing that I'm thinking

807
00:50:10,000 --> 00:50:14,239
Speaker 1: about is how you know Steve zero four seven five

808
00:50:14,400 --> 00:50:18,120
Speaker 1: six on Twitter thinks that I'm a fat bitch like

809
00:50:18,560 --> 00:50:22,120
Speaker 1: I will sleep soundly knowing that Steve thinks I'm a

810
00:50:22,160 --> 00:50:26,160
Speaker 1: fat bitch. I will not sleep soundly knowing that I

811
00:50:26,200 --> 00:50:29,760
Speaker 1: did nothing and I said nothing and things got worse.

812
00:50:30,520 --> 00:50:33,360
Speaker 2: When you go to sleep at night, what will prevent

813
00:50:33,400 --> 00:50:35,040
Speaker 2: you from getting a good night's sleep? And it's not

814
00:50:35,239 --> 00:50:39,280
Speaker 2: like writhing up shithead Steve zero five five six on Twitter.

815
00:50:39,560 --> 00:50:43,319
Speaker 2: It's actually doing something, saying something, speaking up.

816
00:50:43,640 --> 00:50:46,040
Speaker 1: Yeah. And on top of that, you know, like just

817
00:50:46,080 --> 00:50:49,680
Speaker 1: as a little added bonus for myself, Like you know,

818
00:50:49,760 --> 00:50:53,120
Speaker 1: as I'm doing this content, like the main videos that's

819
00:50:53,600 --> 00:50:58,799
Speaker 1: for everyone, the part I'm doing for me is when

820
00:50:59,040 --> 00:51:02,880
Speaker 1: I'm responding to those insults and being funnier than they

821
00:51:02,880 --> 00:51:06,400
Speaker 1: could ever possibly. That's the part that's just for me.

822
00:51:06,640 --> 00:51:10,000
Speaker 1: That's my little treat. And so the fact that I

823
00:51:10,040 --> 00:51:12,680
Speaker 1: get to go to sleep at night knowing that I

824
00:51:12,760 --> 00:51:16,600
Speaker 1: did something, I said something, and yeah, Steve thinks I'm

825
00:51:16,640 --> 00:51:20,000
Speaker 1: a fat bitch. But also Steve's going to sleep tonight

826
00:51:20,120 --> 00:51:23,759
Speaker 1: knowing that I made a very funny joke about his

827
00:51:23,920 --> 00:51:28,879
Speaker 1: bald spot and that's gonna eat at him. That's the like, Oh,

828
00:51:28,920 --> 00:51:31,440
Speaker 1: I sleep very well when I get to note because like,

829
00:51:31,520 --> 00:51:35,440
Speaker 1: oh my god, I the I think the thing that

830
00:51:35,480 --> 00:51:39,560
Speaker 1: blew my mind the most this entire experience has been

831
00:51:40,239 --> 00:51:43,560
Speaker 1: you know, tens of thousands of insults later, not a

832
00:51:43,600 --> 00:51:47,560
Speaker 1: single one of them has been funny. No, I'm a

833
00:51:47,680 --> 00:51:52,400
Speaker 1: deeply insultable person. I mean, Jesus Christ, I cut my

834
00:51:52,560 --> 00:51:57,080
Speaker 1: own bangs, y'all. My bangs look like shit. One hundred

835
00:51:57,160 --> 00:52:02,440
Speaker 1: percent of the time. They are uneven, and like you

836
00:52:02,520 --> 00:52:06,200
Speaker 1: could make a hundred jokes about that. That would be

837
00:52:06,280 --> 00:52:10,120
Speaker 1: so much funnier than just calling me a cow. So

838
00:52:12,120 --> 00:52:14,360
Speaker 1: I just, in the same way that I want the

839
00:52:14,440 --> 00:52:17,960
Speaker 1: left to get better at talking about our values and

840
00:52:18,000 --> 00:52:21,080
Speaker 1: winning people over, I just want conservatives to get funnier,

841
00:52:21,480 --> 00:52:24,160
Speaker 1: because Jesus Christ, if I'm gonna have to interact with you,

842
00:52:25,120 --> 00:52:27,359
Speaker 1: I at least want it to be funny. And I

843
00:52:27,360 --> 00:52:29,560
Speaker 1: can take a good insult as long as it's funny.

844
00:52:29,600 --> 00:52:34,560
Speaker 1: So please please just learn from me, develop the ability

845
00:52:34,800 --> 00:52:36,760
Speaker 1: to insult someone in a way that's funny.

846
00:52:37,680 --> 00:52:40,759
Speaker 2: Step your game up, Steve zero five six y four

847
00:52:40,840 --> 00:52:43,240
Speaker 2: on Twitter. Or if they really wanted to be smart,

848
00:52:43,360 --> 00:52:45,919
Speaker 2: they could hire you as a digital strategist. You would

849
00:52:45,960 --> 00:52:48,200
Speaker 2: write for them, The money you would go right into

850
00:52:48,239 --> 00:52:50,520
Speaker 2: your pocket, and then the insults would improve. Yeah.

851
00:52:50,640 --> 00:52:54,120
Speaker 1: I mean, I've thought about creating a TikTok series that's

852
00:52:54,200 --> 00:52:59,359
Speaker 1: like comedy one oh one for conservatives, because, like I mean,

853
00:52:59,520 --> 00:53:01,880
Speaker 1: it's it's not even their fault. Like when the best

854
00:53:01,920 --> 00:53:06,080
Speaker 1: example of conservative comedy that you have is like Stephen

855
00:53:06,200 --> 00:53:10,080
Speaker 1: Crowder and Greg Guttfeld, No, what if you're not funny?

856
00:53:10,239 --> 00:53:15,000
Speaker 1: Come on Jesus. So they're just regurgitating the things that

857
00:53:15,040 --> 00:53:18,680
Speaker 1: those two say, and it's like it wasn't funny when

858
00:53:18,719 --> 00:53:23,000
Speaker 1: they said it, it's extra not funny when y'all are

859
00:53:23,040 --> 00:53:27,680
Speaker 1: repeating it. So, just conservatives, if you're listening to this, please,

860
00:53:27,719 --> 00:53:32,239
Speaker 1: for the love of God, just please, please get better

861
00:53:32,280 --> 00:53:36,120
Speaker 1: at comedy. Speaking from the perspective of someone that's not

862
00:53:36,239 --> 00:53:39,920
Speaker 1: only a content creator but is also a digital strategist,

863
00:53:40,560 --> 00:53:43,120
Speaker 1: I think one of the things that the right did

864
00:53:43,920 --> 00:53:49,239
Speaker 1: during this last election cycle that the left did not

865
00:53:50,920 --> 00:53:53,560
Speaker 1: did not do enough of, and also did not do

866
00:53:54,000 --> 00:54:03,160
Speaker 1: nearly as well as the right is having a strategy

867
00:54:03,239 --> 00:54:10,719
Speaker 1: where non political content creators were getting content out to

868
00:54:11,600 --> 00:54:16,319
Speaker 1: their audiences about politics, whether that was them talking about

869
00:54:16,480 --> 00:54:21,680
Speaker 1: themselves or them just quietly reposting stuff from other people.

870
00:54:22,160 --> 00:54:32,680
Speaker 1: And I think that we need to accept the party

871
00:54:32,719 --> 00:54:35,200
Speaker 1: as a whole needs to accept. But also, like anyone

872
00:54:35,239 --> 00:54:38,520
Speaker 1: that cares about the direction of our country needs to accept,

873
00:54:38,719 --> 00:54:41,799
Speaker 1: there are only so many people who are going to

874
00:54:41,880 --> 00:54:47,240
Speaker 1: willingly watch explicitly political content. The reality is the majority

875
00:54:47,280 --> 00:54:50,760
Speaker 1: of people do not give a shit about political content,

876
00:54:50,880 --> 00:54:59,520
Speaker 1: will never watch it. And I think simultaneously, while yes

877
00:54:59,600 --> 00:55:01,680
Speaker 1: the part that the piece of the puzzle that I

878
00:55:01,719 --> 00:55:04,840
Speaker 1: am doing, I think is very important in training people

879
00:55:04,880 --> 00:55:09,880
Speaker 1: to talk to conservatives, I think equally important is empowering

880
00:55:10,440 --> 00:55:14,880
Speaker 1: content creators in radically different spaces, whether it's true crime

881
00:55:15,280 --> 00:55:21,480
Speaker 1: or makeup tutorials or muck bangs or whatever. I think

882
00:55:21,640 --> 00:55:27,120
Speaker 1: that the obstacles that we are facing are monumental enough

883
00:55:28,080 --> 00:55:32,200
Speaker 1: that just getting political content creators to do the right

884
00:55:32,239 --> 00:55:35,920
Speaker 1: thing and to say the right things and like, do

885
00:55:36,239 --> 00:55:40,080
Speaker 1: our part is not going to be enough. So if

886
00:55:40,120 --> 00:55:44,680
Speaker 1: you are a content creator of any type at all,

887
00:55:45,520 --> 00:55:49,040
Speaker 1: I would very much encourage you to try and figure

888
00:55:49,080 --> 00:55:51,400
Speaker 1: out what is the piece of this puzzle that I

889
00:55:51,440 --> 00:55:54,280
Speaker 1: can be playing. It doesn't have to look like creating

890
00:55:54,280 --> 00:55:58,359
Speaker 1: political content. And I would be happy if there's any

891
00:55:58,360 --> 00:56:00,680
Speaker 1: content creator that hears this, that wants to do that

892
00:56:00,719 --> 00:56:03,520
Speaker 1: and isn't sure how to please reach out to me,

893
00:56:03,640 --> 00:56:06,000
Speaker 1: I will help you figure out a way. And oh

894
00:56:06,040 --> 00:56:09,480
Speaker 1: my god, if you work for any political campaign on

895
00:56:09,520 --> 00:56:14,840
Speaker 1: the left at all, please make that a part of

896
00:56:14,880 --> 00:56:17,040
Speaker 1: your strategy. And if you need help figuring out how

897
00:56:17,080 --> 00:56:19,319
Speaker 1: to make that a part of your strategy, please reach

898
00:56:19,360 --> 00:56:24,759
Speaker 1: out to me, because, like I mean, as stupid as

899
00:56:24,760 --> 00:56:28,920
Speaker 1: it was, Trump's strategy of talking to like Aiden Ross

900
00:56:29,040 --> 00:56:31,320
Speaker 1: and the Pool Brothers and all of that, that was

901
00:56:31,360 --> 00:56:35,719
Speaker 1: a hugely influential into his win and we have to

902
00:56:35,800 --> 00:56:38,000
Speaker 1: do that or we are going to keep losing.

903
00:56:38,880 --> 00:56:42,439
Speaker 2: So I can't tell you how many people that I've

904
00:56:42,480 --> 00:56:46,800
Speaker 2: interviewed from all different spectrums of like content or digital strategy,

905
00:56:46,800 --> 00:56:49,440
Speaker 2: who are all saying the left needs to be making

906
00:56:49,600 --> 00:56:54,200
Speaker 2: huge investments with content creators podcasters. I firmly like I

907
00:56:54,280 --> 00:56:58,200
Speaker 2: mean this, like literally, I think we have Trump in

908
00:56:58,239 --> 00:57:02,759
Speaker 2: office again because of podcasters. I think that podcasters shifted

909
00:57:02,920 --> 00:57:06,960
Speaker 2: the landscape of our political fabric and we need to

910
00:57:07,040 --> 00:57:09,120
Speaker 2: just like understand that and get on board. It's not

911
00:57:09,160 --> 00:57:10,680
Speaker 2: too late, but we have a lot of ground to

912
00:57:10,680 --> 00:57:12,040
Speaker 2: make up for, and now it's the time.

913
00:57:12,360 --> 00:57:14,680
Speaker 1: Yes, oh yeah, we coasted for so long and this

914
00:57:14,760 --> 00:57:16,520
Speaker 1: is not even the only time that we've done this,

915
00:57:16,760 --> 00:57:19,920
Speaker 1: Like I mean, I've been doing digital strategy for long enough,

916
00:57:20,360 --> 00:57:23,560
Speaker 1: and I know you were also around and seeing this,

917
00:57:23,840 --> 00:57:27,240
Speaker 1: Like when digital first became a thing. Ooh, we were like,

918
00:57:27,920 --> 00:57:31,040
Speaker 1: we were confident. We were like, the Republicans are never

919
00:57:31,080 --> 00:57:32,960
Speaker 1: going to catch up with us. We are so much

920
00:57:33,000 --> 00:57:34,360
Speaker 1: better at the Internet than they are.

921
00:57:34,600 --> 00:57:36,680
Speaker 2: Oh, what a time to be alive.

922
00:57:37,480 --> 00:57:40,800
Speaker 1: That was a great feeling. But it was not an

923
00:57:40,840 --> 00:57:44,000
Speaker 1: impulse that we should have listened to, because oh no,

924
00:57:44,480 --> 00:57:48,160
Speaker 1: we were so confident that we were at the front

925
00:57:48,200 --> 00:57:51,480
Speaker 1: of the pack that we just slowed down to a

926
00:57:52,240 --> 00:57:56,960
Speaker 1: leisurely stroll and they just ran right past us and

927
00:57:57,680 --> 00:58:01,440
Speaker 1: we caught up. And then the same thing is happening

928
00:58:01,480 --> 00:58:04,040
Speaker 1: now with like podcasts and things like that. So yeah,

929
00:58:04,080 --> 00:58:06,480
Speaker 1: I think you are right about podcasts. We have to

930
00:58:07,600 --> 00:58:11,400
Speaker 1: we just have to stop congratulating ourselves on how good

931
00:58:11,440 --> 00:58:14,320
Speaker 1: we are at certain things and start focusing on getting

932
00:58:14,360 --> 00:58:16,480
Speaker 1: better at the stuff that they are clearly kicking our

933
00:58:16,520 --> 00:58:17,040
Speaker 1: ass on.

934
00:58:23,800 --> 00:58:25,840
Speaker 2: Got a story about an interesting thing in tech, or

935
00:58:25,920 --> 00:58:27,760
Speaker 2: just want to say hi. You can reach us at

936
00:58:27,800 --> 00:58:30,520
Speaker 2: Hello at tangody dot com. You can also find transcripts

937
00:58:30,520 --> 00:58:32,960
Speaker 2: for today's episode at tengody dot com. There are no

938
00:58:33,040 --> 00:58:35,120
Speaker 2: girls on the Internet was created by me bridget Toad.

939
00:58:35,480 --> 00:58:38,920
Speaker 2: It's a production of iHeartRadio, an unbossed creative. Jonathan Strickland

940
00:58:38,960 --> 00:58:41,680
Speaker 2: is our executive producer. Tari Harrison is our producer and

941
00:58:41,760 --> 00:58:45,520
Speaker 2: sound engineer. Michael Almato is our contributing producer. I'm your host,

942
00:58:45,520 --> 00:58:48,320
Speaker 2: bridget Toad. If you want to help us grow, rate

943
00:58:48,360 --> 00:58:52,080
Speaker 2: and review us on Apple Podcasts. For more podcasts from iHeartRadio,

944
00:58:52,200 --> 00:58:54,560
Speaker 2: check out the iHeartRadio app, Apple Podcasts, or wherever you

945
00:58:54,560 --> 00:58:55,480
Speaker 2: get your podcasts.

946
00:59:00,160 --> 00:59:06,480
Speaker 1: Long They Well, Meppen, O Love and Well Lippen