1
00:00:04,120 --> 00:00:08,039
Speaker 1: Happy Monday. This is We're coming towards the end of July.

2
00:00:09,119 --> 00:00:10,880
Speaker 1: I'll be honest, it's the end of what's been a

3
00:00:11,000 --> 00:00:14,320
Speaker 1: working this is my final semi working vacation week.

4
00:00:14,400 --> 00:00:15,680
Speaker 2: I know I haven't telling you.

5
00:00:15,760 --> 00:00:18,520
Speaker 1: I've been trying to do half in half out the

6
00:00:18,600 --> 00:00:19,360
Speaker 1: month of July.

7
00:00:21,520 --> 00:00:22,080
Speaker 2: And you know what.

8
00:00:22,040 --> 00:00:24,480
Speaker 3: Happens when you try to do half of anything.

9
00:00:24,120 --> 00:00:28,560
Speaker 1: You end up doing full of more things. It's always

10
00:00:28,640 --> 00:00:32,680
Speaker 1: hard to totally decompress when you've created a schedule that

11
00:00:32,760 --> 00:00:36,920
Speaker 1: doesn't allow you to do that completely. I'm not going

12
00:00:37,000 --> 00:00:39,920
Speaker 1: to complain anymore about my first chord problems, but I'm

13
00:00:39,960 --> 00:00:43,640
Speaker 1: coming towards the end of that. I'm looking forward to

14
00:00:43,720 --> 00:00:46,280
Speaker 1: the month of August for me. I know some people

15
00:00:46,360 --> 00:00:47,640
Speaker 1: view August as a vacation month.

16
00:00:47,760 --> 00:00:49,800
Speaker 2: I don't. I will tell you this.

17
00:00:49,880 --> 00:00:51,839
Speaker 1: In the history of politics, I will say August have

18
00:00:51,920 --> 00:00:56,320
Speaker 1: been some of the most consequential months in my professional career.

19
00:00:56,520 --> 00:00:59,920
Speaker 1: So I am one of those that that is at.

20
00:00:59,760 --> 00:01:01,080
Speaker 2: This point figured out.

21
00:01:01,680 --> 00:01:06,560
Speaker 1: Don't complain that August becomes newsworthy, sort of lean into it.

22
00:01:06,600 --> 00:01:09,720
Speaker 1: I've come to learn that actually June and July are

23
00:01:09,959 --> 00:01:12,800
Speaker 1: actually the slower months of the summer, even though they

24
00:01:12,840 --> 00:01:17,600
Speaker 1: look busy. It's August, when everybody supposedly leaves that things get,

25
00:01:17,680 --> 00:01:20,040
Speaker 1: at least in the world of political campaigns, et cetera,

26
00:01:20,480 --> 00:01:24,560
Speaker 1: get a little kooky. Look, I got a packed episode

27
00:01:24,560 --> 00:01:26,480
Speaker 1: for you. John Dela Volpe is my guest. He is

28
00:01:26,520 --> 00:01:28,759
Speaker 1: the director of pulling for the Harvard Kennedy School.

29
00:01:29,000 --> 00:01:29,479
Speaker 2: He has.

30
00:01:30,880 --> 00:01:34,360
Speaker 1: Been polling eighteen to twenty nine year olds since nineteen

31
00:01:34,400 --> 00:01:36,320
Speaker 1: ninety six, so what does that mean. He has watched

32
00:01:36,800 --> 00:01:39,959
Speaker 1: millennials go from being the youngest voters to now being

33
00:01:41,120 --> 00:01:45,759
Speaker 1: middle aged, and he is probably as good as anybody

34
00:01:45,959 --> 00:01:50,360
Speaker 1: is understanding gen Z and what's happening among gen Z

35
00:01:50,480 --> 00:01:55,640
Speaker 1: voters and the fact that this is still a forming electorate.

36
00:01:55,680 --> 00:01:58,160
Speaker 1: I don't think there's anything. You know, millennials pretty quickly,

37
00:01:58,200 --> 00:01:59,640
Speaker 1: you saw that they were going to be pretty left

38
00:01:59,720 --> 00:02:04,080
Speaker 1: leaning and kind of solidified early. I think you're seeing

39
00:02:04,720 --> 00:02:08,160
Speaker 1: slight shifts to the right among millennials, but not not

40
00:02:08,280 --> 00:02:12,880
Speaker 1: in any dramatic faction. Gen Z started off looking like

41
00:02:12,919 --> 00:02:16,559
Speaker 1: it was going to be maybe more progressive than millennials

42
00:02:17,160 --> 00:02:19,880
Speaker 1: COVID hits, and this is a I think this is

43
00:02:19,919 --> 00:02:22,880
Speaker 1: a very This is a generation that continues to change.

44
00:02:22,960 --> 00:02:25,840
Speaker 1: Nothing is in cement okay, or if it is in

45
00:02:25,919 --> 00:02:30,040
Speaker 1: cement to cement hasn't dried yet. And we've seen there

46
00:02:30,120 --> 00:02:33,679
Speaker 1: are distinctive differences in the electorate among eighteen to twenty

47
00:02:33,760 --> 00:02:36,520
Speaker 1: nine year olds, among those that experienced COVID in high

48
00:02:36,560 --> 00:02:39,560
Speaker 1: school versus in middle school, versus those that experienced COVID

49
00:02:39,600 --> 00:02:43,200
Speaker 1: in college or just after college, and the experiences were

50
00:02:43,280 --> 00:02:45,799
Speaker 1: different in your views of government, just having those two

51
00:02:45,800 --> 00:02:50,080
Speaker 1: different experiences, very different versus right a university sort of

52
00:02:51,480 --> 00:02:54,480
Speaker 1: telling you what to do versus what felt like government

53
00:02:54,600 --> 00:02:57,280
Speaker 1: telling you where and when you could go back to school,

54
00:02:57,320 --> 00:03:01,480
Speaker 1: et cetera. So I think the conversation when you're trying

55
00:03:01,480 --> 00:03:04,520
Speaker 1: to figure out what do young men want, what are

56
00:03:04,520 --> 00:03:08,040
Speaker 1: they seeing, what's happening, and sort of what's different, what's

57
00:03:08,080 --> 00:03:11,560
Speaker 1: the same, what's similar With millennials, you're going to really

58
00:03:11,639 --> 00:03:13,760
Speaker 1: enjoy this conversation. I know there's a lot of you

59
00:03:13,840 --> 00:03:17,079
Speaker 1: that subscribe to me that are in not just political

60
00:03:17,120 --> 00:03:22,760
Speaker 1: businesses but marketers in the media trying to figure out

61
00:03:23,960 --> 00:03:27,600
Speaker 1: just what's going on with these two important demographic groups.

62
00:03:27,760 --> 00:03:30,720
Speaker 1: Here's the big takeaway that I've learned over the last week,

63
00:03:30,840 --> 00:03:34,080
Speaker 1: not just from my conversation with John but also I

64
00:03:34,120 --> 00:03:37,080
Speaker 1: told you about last week, the the event I did

65
00:03:37,080 --> 00:03:40,640
Speaker 1: about independence is that you're seeing, first of all, the

66
00:03:40,720 --> 00:03:46,120
Speaker 1: biggest chunk of non major party supporters are under the

67
00:03:46,160 --> 00:03:49,080
Speaker 1: age of fifty, So it's millennials and Gen Z driving

68
00:03:49,160 --> 00:03:53,000
Speaker 1: these growing numbers of people that are registering as no

69
00:03:53,120 --> 00:03:57,440
Speaker 1: party that is all under forty five. As a strategist

70
00:03:57,440 --> 00:03:59,320
Speaker 1: told me, if you're over the age of fifty, you

71
00:03:59,360 --> 00:04:01,560
Speaker 1: already know how you voting in November of twenty six.

72
00:04:01,920 --> 00:04:03,280
Speaker 2: That that's sort of how.

73
00:04:03,160 --> 00:04:06,560
Speaker 1: Firm you are in your political beliefs, and Boomers and

74
00:04:06,880 --> 00:04:10,080
Speaker 1: X in many way Gen X are so polarized it

75
00:04:10,120 --> 00:04:12,440
Speaker 1: is it is hard to move that those.

76
00:04:12,280 --> 00:04:17,159
Speaker 2: Minds aren't changing very much at all. Among those over fifty,

77
00:04:17,600 --> 00:04:23,039
Speaker 2: the persuadable piece of the electorate is all under.

78
00:04:22,839 --> 00:04:24,520
Speaker 3: The age of fifty right now.

79
00:04:24,720 --> 00:04:26,599
Speaker 1: So to me, that's where all the action is, and

80
00:04:26,640 --> 00:04:29,680
Speaker 1: that's why I'm leaning more heavily in conversations about that

81
00:04:29,720 --> 00:04:32,920
Speaker 1: part of the electorate because again, you know, the only

82
00:04:33,000 --> 00:04:37,200
Speaker 1: way Gen X or Boomers shift is if one part

83
00:04:37,279 --> 00:04:41,320
Speaker 1: one is who shows up. You know how they're voting

84
00:04:41,839 --> 00:04:44,520
Speaker 1: when they show up. The question is whether those voters

85
00:04:44,839 --> 00:04:46,960
Speaker 1: show up or not. I'm going to get into more

86
00:04:47,000 --> 00:04:49,760
Speaker 1: a little more of a pulling deep dive here in

87
00:04:49,800 --> 00:04:52,040
Speaker 1: a few minutes, because I know some of you may

88
00:04:52,080 --> 00:04:55,200
Speaker 1: be wondering. Gallup said Donald Trump's job rating is thirty

89
00:04:55,240 --> 00:04:58,600
Speaker 1: seven percent. The Wall Street Journal says the job rating

90
00:04:58,680 --> 00:05:02,120
Speaker 1: is forty six percent. One of the polls must be wrong. Well,

91
00:05:02,120 --> 00:05:03,360
Speaker 1: I'm going to be here to tell you that they're

92
00:05:03,400 --> 00:05:07,960
Speaker 1: both potentially right, and I'm going to explain. But now

93
00:05:08,000 --> 00:05:11,960
Speaker 1: before I delve into what is still the dominant conversation

94
00:05:12,080 --> 00:05:17,039
Speaker 1: in American politics, and that's Jeffrey Epstein. And look, I

95
00:05:17,040 --> 00:05:19,200
Speaker 1: don't think at this point if you're listening, I need

96
00:05:19,240 --> 00:05:23,279
Speaker 1: to tell you what the debate about Epstein is, and

97
00:05:23,360 --> 00:05:26,599
Speaker 1: it's about we can say it's about government transparency. You know,

98
00:05:26,680 --> 00:05:30,600
Speaker 1: Democrats are suddenly interested in the Epstein case. Where was

99
00:05:30,640 --> 00:05:33,440
Speaker 1: their interest last year? Right, we know why they're interested.

100
00:05:33,520 --> 00:05:36,280
Speaker 1: It's for political reasons, and it's making Republican squirm and

101
00:05:36,320 --> 00:05:39,400
Speaker 1: it divides the parties. Right, we understand the motivation. That's

102
00:05:39,400 --> 00:05:41,400
Speaker 1: not what I want to get at. What I want

103
00:05:41,440 --> 00:05:45,760
Speaker 1: to get at today is this is the most alarming

104
00:05:45,920 --> 00:05:50,680
Speaker 1: part of this Epstein feeding frenzy is that this is

105
00:05:51,120 --> 00:05:55,799
Speaker 1: exactly what many of us worried about as the information

106
00:05:55,960 --> 00:06:02,120
Speaker 1: ecosystem was breaking, right, A tech companies use their algorithms

107
00:06:02,440 --> 00:06:06,080
Speaker 1: to condition us what we're interested in and only feeding

108
00:06:06,160 --> 00:06:09,839
Speaker 1: us the stuff that was crowd sourced. Of Oh, here's

109
00:06:09,880 --> 00:06:14,080
Speaker 1: speculation this, or what would keep people on a website longer,

110
00:06:14,240 --> 00:06:17,640
Speaker 1: keep people on a platform longer, and as we knew

111
00:06:17,880 --> 00:06:21,239
Speaker 1: know now and frankly, you know there's been a through

112
00:06:21,240 --> 00:06:22,680
Speaker 1: line with social media.

113
00:06:22,480 --> 00:06:25,560
Speaker 2: Right that as we've created this flattening of information.

114
00:06:26,440 --> 00:06:26,640
Speaker 3: Right.

115
00:06:26,760 --> 00:06:29,520
Speaker 1: I go back to that phrase flattening of information because

116
00:06:29,560 --> 00:06:32,320
Speaker 1: it goes back to a title of a Tom Friedman book,

117
00:06:32,600 --> 00:06:35,760
Speaker 1: The World is Flat, and that was about sort of

118
00:06:35,760 --> 00:06:40,240
Speaker 1: globalization at the time. But it wasn't just the world

119
00:06:40,279 --> 00:06:43,599
Speaker 1: that got flattened. Right, Information's been flattened. And what does

120
00:06:43,600 --> 00:06:47,000
Speaker 1: that mean, Well, it means that everybody has their own truths. Now,

121
00:06:47,320 --> 00:06:51,800
Speaker 1: everybody has their own bias. Now, everybody's bias conditions them

122
00:06:51,839 --> 00:06:53,520
Speaker 1: to what they believe is truth.

123
00:06:54,800 --> 00:06:55,400
Speaker 2: And so.

124
00:06:56,800 --> 00:07:00,880
Speaker 1: We have a story like Epstein in the pre social media,

125
00:07:01,440 --> 00:07:03,520
Speaker 1: you can say, oh, the gatekeepers wouldn't have allowed us

126
00:07:03,520 --> 00:07:05,599
Speaker 1: to debate the story. Yes, the gatekeepers would have told

127
00:07:05,640 --> 00:07:08,360
Speaker 1: you where there is no information, Right, there's been no

128
00:07:08,480 --> 00:07:11,800
Speaker 1: there there in Epstein for decades as far as this

129
00:07:11,920 --> 00:07:15,000
Speaker 1: deeper conspiracy that goes to all these government officials and

130
00:07:15,000 --> 00:07:18,480
Speaker 1: elites and all this stuff. To me, the simplest way

131
00:07:18,520 --> 00:07:24,640
Speaker 1: to know that is if Glene Maxwell truly had the

132
00:07:24,720 --> 00:07:30,280
Speaker 1: keys to some mythical conspiracy that Jeffrey Epstein was helping

133
00:07:30,320 --> 00:07:33,720
Speaker 1: to run with this crazy pedophilia ring that seemed to

134
00:07:33,720 --> 00:07:38,280
Speaker 1: include all the upper echelons. Right, she doesn't use that

135
00:07:38,320 --> 00:07:42,200
Speaker 1: to not serve time. Remember, she's serving time. She was

136
00:07:42,320 --> 00:07:45,200
Speaker 1: convicted for twenty years. Some people believe it was too Lenya,

137
00:07:45,760 --> 00:07:49,880
Speaker 1: but she's behind bars for twenty years. So if she had,

138
00:07:50,320 --> 00:07:53,880
Speaker 1: if she had some hidden information, do you really think

139
00:07:53,920 --> 00:07:57,480
Speaker 1: she withholds it and agrees to serve you know, a

140
00:07:57,560 --> 00:08:01,080
Speaker 1: lesser somehow she agreed to sort of keeps something under

141
00:08:01,120 --> 00:08:05,120
Speaker 1: wraps to only serve twenty years. Really, really, the daughter

142
00:08:05,160 --> 00:08:12,720
Speaker 1: of some multi uh millionaire Canadian media emperor empire holder

143
00:08:13,080 --> 00:08:15,840
Speaker 1: uh and her father Robert I really right, Like you

144
00:08:16,000 --> 00:08:21,160
Speaker 1: really have to stretch your conspiratorial brain in order to

145
00:08:21,360 --> 00:08:24,440
Speaker 1: sort of make all of this even current conspiracy work,

146
00:08:24,440 --> 00:08:27,080
Speaker 1: that there's some sort of you know that this is

147
00:08:27,920 --> 00:08:30,800
Speaker 1: like Raiders of the Lost Arc and the Epstein files,

148
00:08:30,840 --> 00:08:33,400
Speaker 1: you know, if somebody sees them move, they blind people

149
00:08:33,440 --> 00:08:36,600
Speaker 1: and they you know, and everything is it leads right,

150
00:08:37,640 --> 00:08:40,240
Speaker 1: you know, the Epstein files, or simply who did he

151
00:08:40,320 --> 00:08:41,920
Speaker 1: hang out with? Well, it turns out he hung out

152
00:08:41,920 --> 00:08:45,040
Speaker 1: with Donald trumple up right, and they were super close friends.

153
00:08:45,040 --> 00:08:46,559
Speaker 2: And I'll get I get back to this, right.

154
00:08:46,920 --> 00:08:49,800
Speaker 1: The only thing that makes you scratch your head about

155
00:08:49,800 --> 00:08:53,160
Speaker 1: the entire Epstein saga is how defensive the president is

156
00:08:53,160 --> 00:08:56,560
Speaker 1: coming across. He seems so worried about it. He has

157
00:08:56,600 --> 00:08:58,760
Speaker 1: the I mean, the irity is that the facts that

158
00:08:59,480 --> 00:09:01,880
Speaker 1: not just he has said about his relationship with Epstein,

159
00:09:01,920 --> 00:09:04,360
Speaker 1: although it's now changing again, but in the past and

160
00:09:04,360 --> 00:09:08,640
Speaker 1: what's been confirmed are basically it's no better or worse

161
00:09:08,679 --> 00:09:11,960
Speaker 1: than Bill Clinton's relationship with Jeffrey Epstein, Bill Gates's relationship

162
00:09:11,960 --> 00:09:14,840
Speaker 1: with Jeffrey Epstein. Right, The one person that seems to

163
00:09:14,920 --> 00:09:17,800
Speaker 1: have gone too far in my relationship with Jeffrey Epstein

164
00:09:17,840 --> 00:09:20,240
Speaker 1: got exposed, and it's Prince Andrew. And if you think

165
00:09:20,240 --> 00:09:22,200
Speaker 1: there was somebody else other than Prince Andrew, do you

166
00:09:22,240 --> 00:09:24,240
Speaker 1: really think this has kept under wraps?

167
00:09:25,120 --> 00:09:27,400
Speaker 2: You know, I always love you know.

168
00:09:27,440 --> 00:09:30,480
Speaker 1: One of the criticisms I used to would have level

169
00:09:30,520 --> 00:09:31,880
Speaker 1: that me when I was sitting in the you know

170
00:09:31,960 --> 00:09:33,800
Speaker 1: what I always said, when you're sitting at meet the

171
00:09:33,800 --> 00:09:38,040
Speaker 1: pressure sitting in the first chair of the of traditional media, right,

172
00:09:38,120 --> 00:09:41,680
Speaker 1: and so you know, there was this this belief that somehow,

173
00:09:42,160 --> 00:09:45,920
Speaker 1: you know, I alone was making decisions or me and

174
00:09:45,960 --> 00:09:48,760
Speaker 1: the and the lords of Sunday show hosts were having

175
00:09:48,800 --> 00:09:50,800
Speaker 1: our meetings deciding this is true and.

176
00:09:50,760 --> 00:09:53,120
Speaker 2: This is not, which, of course none of that is

177
00:09:53,160 --> 00:09:54,040
Speaker 2: true at all.

178
00:09:56,120 --> 00:10:00,959
Speaker 1: But you sit there, and you know, at one simultaneously

179
00:10:01,000 --> 00:10:04,040
Speaker 1: people says, no, you know, you alone, can you know

180
00:10:04,120 --> 00:10:07,120
Speaker 1: do this? You're dictating this media narrative? And oh, by

181
00:10:07,160 --> 00:10:08,960
Speaker 1: the way, you have no power anymore.

182
00:10:08,679 --> 00:10:09,600
Speaker 3: And nobody's listening to you.

183
00:10:10,559 --> 00:10:12,960
Speaker 1: So my dictating the media narrative? Or do I have

184
00:10:13,000 --> 00:10:15,320
Speaker 1: no power? Nobody listens to us anymore? Right, Like both

185
00:10:15,360 --> 00:10:17,360
Speaker 1: things can't be true at the same time. But you know,

186
00:10:17,920 --> 00:10:20,679
Speaker 1: when it comes to sort of the trollish natures of

187
00:10:20,679 --> 00:10:24,400
Speaker 1: partisan hacks on social media, some of whom are like

188
00:10:24,880 --> 00:10:29,559
Speaker 1: boldface named partisan hacks, some of whom are are distinguished

189
00:10:29,600 --> 00:10:32,839
Speaker 1: law professors. I hope they're better at teaching than they

190
00:10:32,840 --> 00:10:36,679
Speaker 1: are opinion making and journalizing. If you will but that's

191
00:10:36,800 --> 00:10:40,240
Speaker 1: just I'll leave that for another day. But the point

192
00:10:40,360 --> 00:10:47,160
Speaker 1: is is that there is no grand conspiracy here. There

193
00:10:47,320 --> 00:10:51,199
Speaker 1: just isn't you know, at this point, there's a conspiracy

194
00:10:51,600 --> 00:10:56,040
Speaker 1: to withhold whatever whatever this version of the government Pan Bondi,

195
00:10:56,120 --> 00:10:59,960
Speaker 1: Dan Bongino, Cash Fattel in the President of the United States.

196
00:11:00,320 --> 00:11:03,120
Speaker 1: They're they're certainly trying to play up the idea that

197
00:11:03,160 --> 00:11:06,240
Speaker 1: they're these hidden files. They're not releasing them. If they

198
00:11:06,240 --> 00:11:09,800
Speaker 1: did release them, the bad stuff was created by Obama

199
00:11:09,800 --> 00:11:12,199
Speaker 1: and Comy, but the good stuff was created by them, right,

200
00:11:12,280 --> 00:11:14,240
Speaker 1: you know, you have to sort of and then of

201
00:11:14,240 --> 00:11:15,920
Speaker 1: course you have to ask yourself, if there was such

202
00:11:15,960 --> 00:11:20,160
Speaker 1: horrible information on Donald Trump, why didn't the Democrats release it? Now,

203
00:11:20,200 --> 00:11:23,080
Speaker 1: maybe that's because Merk Garland believed that you should just

204
00:11:23,120 --> 00:11:24,480
Speaker 1: sort of follow the rule of law, and if you

205
00:11:25,520 --> 00:11:29,439
Speaker 1: had no information to indict somebody, you can't just release speculation.

206
00:11:30,960 --> 00:11:31,400
Speaker 2: And so.

207
00:11:32,840 --> 00:11:36,440
Speaker 1: Obviously now you know, the Trump administration was going to

208
00:11:36,480 --> 00:11:41,160
Speaker 1: release speculative, unverified information as long as it was about

209
00:11:41,160 --> 00:11:45,120
Speaker 1: political opponents. The problem is, and this is the most

210
00:11:45,160 --> 00:11:47,160
Speaker 1: likely explanation here of why you see nothing on the

211
00:11:47,200 --> 00:11:51,000
Speaker 1: Epstein file, is they went through it and they realized, oh,

212
00:11:51,559 --> 00:11:54,440
Speaker 1: it isn't going to just tarnish Bill Clinton or Bill Gates.

213
00:11:54,480 --> 00:11:59,119
Speaker 1: It's also going to tarnish Donald Trump and Alan Dershowitz

214
00:11:59,160 --> 00:12:01,040
Speaker 1: and some other people that are friendly on the right.

215
00:12:02,559 --> 00:12:04,840
Speaker 1: And you've seen that Alan Dershowitz is obsessed with this

216
00:12:04,920 --> 00:12:07,520
Speaker 1: idea that any information they leak, if it's unverified, that

217
00:12:07,800 --> 00:12:10,920
Speaker 1: you know, they he's going to sue, and frankly has

218
00:12:10,960 --> 00:12:14,000
Speaker 1: every right to right. The government can't go out there

219
00:12:14,000 --> 00:12:16,600
Speaker 1: and defane people. You can't just you know, this is

220
00:12:16,679 --> 00:12:20,880
Speaker 1: why the FBI and the Department of Justice have had

221
00:12:20,880 --> 00:12:22,559
Speaker 1: a policy over the years. They don't announce whether they're

222
00:12:22,559 --> 00:12:25,600
Speaker 1: investigating somebody. You may investigate somebody and find out there's

223
00:12:25,640 --> 00:12:28,120
Speaker 1: no they're there, but the minute it's sort of like

224
00:12:28,160 --> 00:12:30,280
Speaker 1: when did you stop beating your wife? Right, This says,

225
00:12:30,960 --> 00:12:33,400
Speaker 1: how do you answer that question when somebody says, oh,

226
00:12:33,440 --> 00:12:36,200
Speaker 1: there's a federal investigation against you, Well, if they don't

227
00:12:36,240 --> 00:12:38,640
Speaker 1: find anything, how many people are still going to think

228
00:12:38,640 --> 00:12:41,400
Speaker 1: you might be guilty because they've heard there was a

229
00:12:41,400 --> 00:12:45,440
Speaker 1: federal investigation and you have to carry that around with

230
00:12:45,520 --> 00:12:48,400
Speaker 1: you like a tarnishment, Which is why this weaponization in

231
00:12:48,440 --> 00:12:51,280
Speaker 1: general that Donald Trump has been doing and has been

232
00:12:51,840 --> 00:12:53,720
Speaker 1: Bondi and Todd Blanche and what they're doing over there

233
00:12:53,760 --> 00:12:57,600
Speaker 1: at the Justice Department, and they really are now they're

234
00:12:57,600 --> 00:13:02,080
Speaker 1: doing everything they've accused previous administrations are doing, which of

235
00:13:02,080 --> 00:13:06,680
Speaker 1: course just just means here we go. So if already

236
00:13:06,760 --> 00:13:11,120
Speaker 1: one side thought the Department of Justice was being politicized,

237
00:13:11,440 --> 00:13:13,720
Speaker 1: the other side, in order to beat back that politic

238
00:13:14,480 --> 00:13:17,480
Speaker 1: that political argument, is going to politicize it in another direction.

239
00:13:17,880 --> 00:13:20,679
Speaker 2: Well if you do that, then then everybody's going.

240
00:13:20,679 --> 00:13:22,880
Speaker 1: To believe it's politicized, and we're going to have an

241
00:13:23,040 --> 00:13:25,960
Speaker 1: entirely tarnished Department of Justice, which I think we already have. Now,

242
00:13:28,000 --> 00:13:29,760
Speaker 1: you know, this is why you know it was so

243
00:13:29,880 --> 00:13:33,480
Speaker 1: damaging when Joe Biden issued those blanket pardons for Hunter

244
00:13:33,520 --> 00:13:37,640
Speaker 1: Biden and his family, all he did was give cover

245
00:13:37,720 --> 00:13:39,520
Speaker 1: to Donald Trump to do the same thing for everybody

246
00:13:39,520 --> 00:13:44,239
Speaker 1: as they leave office. And now we have created essentially

247
00:13:45,240 --> 00:13:48,440
Speaker 1: the ability that if you can get into an administration,

248
00:13:49,840 --> 00:13:55,480
Speaker 1: you can probably pull off some corrupt practices and essentially

249
00:13:55,480 --> 00:13:58,520
Speaker 1: go uncharged because you're going to be under the partisan

250
00:13:58,640 --> 00:14:03,360
Speaker 1: umbrella of protection of pardon protection by that administration. So

251
00:14:04,440 --> 00:14:07,680
Speaker 1: I start off with this because I do think the

252
00:14:07,760 --> 00:14:11,240
Speaker 1: story that everybody is missing on the rise of the

253
00:14:11,280 --> 00:14:13,720
Speaker 1: fact that Jeffrey Epstein is at feeding friendsing moment. This

254
00:14:13,840 --> 00:14:18,680
Speaker 1: is a manufactured social media algorithmic outrage that has never

255
00:14:18,840 --> 00:14:23,400
Speaker 1: been based in enough facts to justify it being front

256
00:14:23,400 --> 00:14:26,520
Speaker 1: and center. But here we are, every Sunday show leading

257
00:14:26,560 --> 00:14:30,200
Speaker 1: with it, every major news organization sort of we have

258
00:14:30,280 --> 00:14:32,160
Speaker 1: to deal with it, and we have to deal with

259
00:14:32,640 --> 00:14:35,440
Speaker 1: and the real issue is we have a broken information ecosystem,

260
00:14:35,760 --> 00:14:39,240
Speaker 1: primarily broken by the people who now control distribution of

261
00:14:39,280 --> 00:14:45,800
Speaker 1: all information, which is the big tech companies right, Google, Facebook,

262
00:14:45,840 --> 00:14:50,680
Speaker 1: and Meta, Amazon, at you name it, all of the

263
00:14:50,680 --> 00:14:56,200
Speaker 1: Big five, and how they decide what you see.

264
00:14:56,480 --> 00:14:56,640
Speaker 3: Right.

265
00:14:56,720 --> 00:14:59,760
Speaker 1: This gets it to the famous filter bubble argument that

266
00:14:59,760 --> 00:15:01,480
Speaker 1: he Pariser wrote about.

267
00:15:01,600 --> 00:15:03,400
Speaker 2: It's like, why why didn't nine to.

268
00:15:03,360 --> 00:15:07,720
Speaker 1: Eleven conspiracy theorists take comfort that they're that that they're

269
00:15:07,760 --> 00:15:10,680
Speaker 1: they're not wack of doodles, even though they're wackadoodles, because

270
00:15:11,000 --> 00:15:13,160
Speaker 1: they can just google nine to eleven, you know, nine

271
00:15:13,200 --> 00:15:17,520
Speaker 1: eleven truth or crap, find enough information online to make

272
00:15:17,560 --> 00:15:21,160
Speaker 1: it seem as if it's true. And this is what

273
00:15:21,360 --> 00:15:24,160
Speaker 1: really sort of chaps my ass about the decision right

274
00:15:24,200 --> 00:15:29,600
Speaker 1: now that we are we are racing towards AI, with

275
00:15:30,000 --> 00:15:34,520
Speaker 1: all of these AI companies begging for minimum regulation because

276
00:15:35,440 --> 00:15:38,480
Speaker 1: that really worked really well for the Internet, that worked

277
00:15:38,520 --> 00:15:41,840
Speaker 1: really well for social media. This minimum regulation we broke

278
00:15:41,920 --> 00:15:47,360
Speaker 1: the frickin information ecosystem, our sewer system. It's the equivalent

279
00:15:47,720 --> 00:15:50,520
Speaker 1: if government decided to combine the sewer system and the

280
00:15:50,600 --> 00:15:53,760
Speaker 1: drinking water pipes and put them in one pipe and said, Okay,

281
00:15:54,080 --> 00:15:56,520
Speaker 1: good luck, you can have drinking water if you can

282
00:15:56,560 --> 00:15:59,520
Speaker 1: figure out how to filter out the ship. Well, we

283
00:15:59,520 --> 00:16:04,360
Speaker 1: have an information ecosystem now that's filled with shit that

284
00:16:04,600 --> 00:16:10,760
Speaker 1: you are supposed to filter out yourself. And in the

285
00:16:10,760 --> 00:16:12,800
Speaker 1: tech companies, oh, you know, we're just you know, this

286
00:16:12,840 --> 00:16:15,400
Speaker 1: is what people want, and this is you know, we're

287
00:16:15,440 --> 00:16:15,880
Speaker 1: just trying.

288
00:16:16,520 --> 00:16:18,880
Speaker 2: No, you're just trying to keep people coming to your

289
00:16:18,920 --> 00:16:19,840
Speaker 2: platform so you.

290
00:16:19,840 --> 00:16:24,440
Speaker 1: Can and this is the end state. This is what

291
00:16:24,680 --> 00:16:29,080
Speaker 1: happened fifteen years later. And now we're supposed to barrel

292
00:16:29,160 --> 00:16:31,000
Speaker 1: right on through with AI and think this is.

293
00:16:30,960 --> 00:16:31,680
Speaker 2: Going to go great.

294
00:16:32,240 --> 00:16:35,480
Speaker 1: We now clearly Elon Musk has decided to create an

295
00:16:35,520 --> 00:16:40,000
Speaker 1: ideological AI, and everybody's going to assume because one is ideological,

296
00:16:40,000 --> 00:16:44,320
Speaker 1: that they're all ideological. This gets me at the word bias, right,

297
00:16:44,640 --> 00:16:47,520
Speaker 1: it is a word that people love to throw around

298
00:16:48,240 --> 00:16:51,840
Speaker 1: and they don't freaking know the definition of it. Let

299
00:16:51,840 --> 00:16:56,320
Speaker 1: me tell you something about bias. Check my pulse. Okay,

300
00:16:56,360 --> 00:16:58,680
Speaker 1: I'm a human being, you know what that means. I'm

301
00:16:58,680 --> 00:17:03,120
Speaker 1: born with original bias. We all are born with original bias.

302
00:17:03,480 --> 00:17:06,879
Speaker 1: So when need this Brendan Carr at the FCC who

303
00:17:06,960 --> 00:17:10,000
Speaker 1: has now decided to just blow up the First Amendment

304
00:17:11,119 --> 00:17:16,159
Speaker 1: and he made the CBS state TV. The restrictions have

305
00:17:16,240 --> 00:17:20,359
Speaker 1: been put on CBS now make it state television. Okay,

306
00:17:20,400 --> 00:17:25,400
Speaker 1: more restrictions than we've ever seen an American government put

307
00:17:25,480 --> 00:17:29,240
Speaker 1: on the media, arguably since World War Two, and with

308
00:17:29,720 --> 00:17:33,000
Speaker 1: government in Hollywood and cahoots to do pro war propaganda movies.

309
00:17:33,520 --> 00:17:35,320
Speaker 1: And you can say, in hindsight that was done for

310
00:17:35,359 --> 00:17:42,000
Speaker 1: a good cause, but it was propaganda. And now we

311
00:17:42,040 --> 00:17:45,560
Speaker 1: have an FCC that is doing this. So Brendan Carr,

312
00:17:45,600 --> 00:17:49,040
Speaker 1: who's a right wing conservative, nothing wrong with that. I

313
00:17:49,080 --> 00:17:52,320
Speaker 1: think the FCC should should have a balance. And right now,

314
00:17:52,320 --> 00:17:54,520
Speaker 1: the Republicans won the election, so yes, I get it,

315
00:17:54,520 --> 00:17:57,760
Speaker 1: they get the chair. But he wants a bias monitor. Well,

316
00:17:59,160 --> 00:18:03,800
Speaker 1: bias through Who's prison If CBS is he going to

317
00:18:03,840 --> 00:18:06,040
Speaker 1: look out that makes your CBS does a percentage of

318
00:18:06,080 --> 00:18:10,600
Speaker 1: programming that's communist, a percentage of programming that's fascist, a

319
00:18:10,600 --> 00:18:14,800
Speaker 1: percentage of programming that's MAGA, a percentage of programming that's progressive,

320
00:18:15,240 --> 00:18:18,719
Speaker 1: a percentage of programming that is quote centrist, that is

321
00:18:18,760 --> 00:18:24,440
Speaker 1: not Who's what are his qualifications? You know, whenever I've

322
00:18:24,480 --> 00:18:27,199
Speaker 1: been accused of bias, it's usually by a partisan, and

323
00:18:27,240 --> 00:18:29,959
Speaker 1: I always say, like, what, what what gives you?

324
00:18:30,040 --> 00:18:30,600
Speaker 2: How is it that?

325
00:18:31,200 --> 00:18:33,719
Speaker 1: And this gets it to human nature, which is we

326
00:18:33,760 --> 00:18:37,680
Speaker 1: all believe we're the modern We're we're we're right, and

327
00:18:37,720 --> 00:18:40,720
Speaker 1: everybody else is to the left of us or to

328
00:18:40,760 --> 00:18:44,720
Speaker 1: the right of us. So I accept the premise that

329
00:18:44,720 --> 00:18:47,600
Speaker 1: that we're all in some ways in our bubbles.

330
00:18:48,240 --> 00:18:49,639
Speaker 2: And I'll tell you how I dealt with it in

331
00:18:49,720 --> 00:18:50,560
Speaker 2: a newsroom.

332
00:18:50,800 --> 00:18:53,880
Speaker 1: I think the single most important diversity you can have

333
00:18:53,920 --> 00:18:58,160
Speaker 1: in a newsroom is not diversity of looks. It's diversity

334
00:18:58,160 --> 00:19:02,760
Speaker 1: of geography, and it's diverseity of socioeconomic status. That's And

335
00:19:02,800 --> 00:19:05,400
Speaker 1: if you told me the FCCID was going to put

336
00:19:05,440 --> 00:19:07,960
Speaker 1: restrictions on CBS that said, hey, we need to make

337
00:19:08,000 --> 00:19:13,680
Speaker 1: sure that thirty percent of your hires are within two

338
00:19:13,760 --> 00:19:17,000
Speaker 1: hundred miles east and west of the Mississippi River. I

339
00:19:17,040 --> 00:19:19,639
Speaker 1: could accept the restriction on that. They're not restricting your

340
00:19:19,720 --> 00:19:23,159
Speaker 1: editorial content. They're telling you, hey, you need to prioritize

341
00:19:23,200 --> 00:19:27,560
Speaker 1: having a diversity of people working in your news organization.

342
00:19:28,040 --> 00:19:28,680
Speaker 2: That's how you.

343
00:19:28,720 --> 00:19:29,560
Speaker 3: Deal with bias.

344
00:19:30,520 --> 00:19:34,560
Speaker 1: It is more speech and more voices, not restrictive speech

345
00:19:34,640 --> 00:19:38,919
Speaker 1: and restricting voices. And the answer right now by Brendan

346
00:19:39,000 --> 00:19:42,920
Speaker 1: Carr to his pursuit what he perceives as a left

347
00:19:42,920 --> 00:19:46,000
Speaker 1: wing bias is balance it out with a right wing bias,

348
00:19:46,040 --> 00:19:47,600
Speaker 1: and the next government will come in with a left

349
00:19:47,600 --> 00:19:49,680
Speaker 1: wing bias, and we're going to be balanced like a seesaw.

350
00:19:50,000 --> 00:19:51,520
Speaker 1: All that's going to do is make the rest of

351
00:19:51,600 --> 00:19:52,000
Speaker 1: us sick.

352
00:19:52,920 --> 00:19:53,120
Speaker 3: Right.

353
00:19:53,400 --> 00:19:57,720
Speaker 1: I am tired of this balance by extremes approach. Right,

354
00:19:57,800 --> 00:20:01,159
Speaker 1: I believe you can be fair. There's no such things

355
00:20:01,240 --> 00:20:03,840
Speaker 1: as balance. If you try to, you can balance anything

356
00:20:04,320 --> 00:20:05,920
Speaker 1: further and further away from each other.

357
00:20:06,000 --> 00:20:06,639
Speaker 2: Is that healthy?

358
00:20:06,760 --> 00:20:09,720
Speaker 1: Does that actually tell you give you a snapshot of

359
00:20:09,880 --> 00:20:14,080
Speaker 1: what keeps things on an equilibrium? Well, it doesn't right

360
00:20:14,080 --> 00:20:16,080
Speaker 1: that physics would get away from you and are hurry,

361
00:20:17,040 --> 00:20:22,399
Speaker 1: So you know, I just it is? I do I

362
00:20:22,400 --> 00:20:25,359
Speaker 1: sit here, I watch what we're what we're doing here.

363
00:20:25,119 --> 00:20:28,200
Speaker 1: We're in the middle of essentially being hijacked our entire

364
00:20:28,320 --> 00:20:33,200
Speaker 1: news ecosystem and been hijacked by this manufactured conspiracy theory

365
00:20:33,800 --> 00:20:35,919
Speaker 1: based on a whole group of people believing in this

366
00:20:36,119 --> 00:20:41,679
Speaker 1: larger conspiracy about pedophiliacs running the world. Okay, this is

367
00:20:41,720 --> 00:20:46,199
Speaker 1: some crazy, messed up ship, folks, and we've mainstreamed it,

368
00:20:47,119 --> 00:20:50,800
Speaker 1: and now both political parties, whether they believe it or not,

369
00:20:50,840 --> 00:20:53,879
Speaker 1: are on Hey, we're just asking questions, right if you

370
00:20:54,160 --> 00:20:56,680
Speaker 1: put a question mark next to your Oh no, I'm

371
00:20:56,720 --> 00:20:58,040
Speaker 1: not the conspiracy theorist.

372
00:20:58,080 --> 00:21:03,040
Speaker 2: I'm just asking questions. I'm not saying Barack Obama put

373
00:21:03,080 --> 00:21:12,439
Speaker 2: together some sort of dosier too to to to harm

374
00:21:12,520 --> 00:21:13,200
Speaker 2: President Trump.

375
00:21:13,280 --> 00:21:16,879
Speaker 1: I'm just wondering if he did. I'm just asking questions

376
00:21:16,880 --> 00:21:18,760
Speaker 1: and putting it out there, which, of course, is this

377
00:21:18,920 --> 00:21:24,040
Speaker 1: garbage stuff that's being circulated that legal scholars left and

378
00:21:24,119 --> 00:21:28,159
Speaker 1: right are just ripping. I mean, what Ratcliffe and Tulca

379
00:21:28,160 --> 00:21:30,960
Speaker 1: Gabbitt are doing are out there. But I get at

380
00:21:31,000 --> 00:21:34,159
Speaker 1: this because when Brendan Carr announced, and I have to

381
00:21:34,160 --> 00:21:36,200
Speaker 1: say I've watched a lot of interviews with Brendan Carr,

382
00:21:36,200 --> 00:21:39,840
Speaker 1: I've invited him on this show, and I'm still going

383
00:21:39,880 --> 00:21:41,480
Speaker 1: to keep inviting this show, and I think there's a

384
00:21:41,560 --> 00:21:43,760
Speaker 1: chance he'll come on because one thing I've noticed about

385
00:21:43,840 --> 00:21:46,560
Speaker 1: him is that he is willing to talk to people

386
00:21:46,560 --> 00:21:50,800
Speaker 1: who don't who have real questions about about how he's

387
00:21:50,840 --> 00:21:53,240
Speaker 1: going about his job. I think on a lot of

388
00:21:53,280 --> 00:21:55,680
Speaker 1: this stuff, like some of like you know, making sure

389
00:21:56,040 --> 00:21:58,520
Speaker 1: paramount invest in local news, I think that's a good

390
00:21:58,760 --> 00:22:02,240
Speaker 1: restriction to put on. There are certain things that make sense.

391
00:22:02,280 --> 00:22:04,960
Speaker 1: And again I go back, if you wanted to deal

392
00:22:04,960 --> 00:22:06,959
Speaker 1: with the bias issue, there were different ways to do

393
00:22:07,000 --> 00:22:09,520
Speaker 1: it that didn't violate the First Amendment and would make

394
00:22:09,560 --> 00:22:12,840
Speaker 1: it unconstitutional. But what he did here is unconstitutional. It's

395
00:22:12,840 --> 00:22:16,480
Speaker 1: a violation of the First Amendment. He's imposing never before

396
00:22:16,520 --> 00:22:20,159
Speaker 1: seen controls on decisions that a news organization makes, and

397
00:22:20,200 --> 00:22:23,440
Speaker 1: that news organization doesn't then report to anybody with any

398
00:22:23,560 --> 00:22:26,479
Speaker 1: editorial guidance. They report to a CEO.

399
00:22:28,080 --> 00:22:29,639
Speaker 2: So it is.

400
00:22:31,320 --> 00:22:34,760
Speaker 1: It is, and look, he acknowledged that they are not

401
00:22:34,840 --> 00:22:38,959
Speaker 1: an unbiased force here. In his interview with CNBC on Friday,

402
00:22:38,960 --> 00:22:43,800
Speaker 1: said President Trump is fundamentally reshapping the media landscape, and

403
00:22:43,840 --> 00:22:47,720
Speaker 1: he basically he believes that government officials allowed the public

404
00:22:47,760 --> 00:22:51,320
Speaker 1: broadcasters really referring to CBSABC and NBC and Fox when

405
00:22:51,320 --> 00:22:52,920
Speaker 1: they're on there over the air network.

406
00:22:52,680 --> 00:22:53,480
Speaker 2: Is also a part of this.

407
00:22:54,680 --> 00:22:56,840
Speaker 1: He believes they were allowed to dictate political narrative, and

408
00:22:56,840 --> 00:22:58,879
Speaker 1: now he wants to dictate the political narrative back.

409
00:23:00,320 --> 00:23:04,720
Speaker 2: Again. What he didn't do is explain what neutrality is.

410
00:23:04,760 --> 00:23:06,440
Speaker 1: What he didn't do is come in and say, hey,

411
00:23:06,720 --> 00:23:08,960
Speaker 1: you know, this is the problem. There's too much of

412
00:23:08,960 --> 00:23:11,520
Speaker 1: an elite narrative from the coast. I think that's a

413
00:23:11,520 --> 00:23:15,080
Speaker 1: fair critique. It's a constant, you know, a constant concern

414
00:23:15,200 --> 00:23:17,920
Speaker 1: I had. I had employees that worked in different parts

415
00:23:17,960 --> 00:23:24,280
Speaker 1: of the country, specifically not anchored in La San Francisco,

416
00:23:24,400 --> 00:23:27,440
Speaker 1: New York or DC, because I do think it's important

417
00:23:27,440 --> 00:23:31,360
Speaker 1: for people to experience America outside the coast. Now, these

418
00:23:31,400 --> 00:23:35,520
Speaker 1: poor big media companies, the news divisions, are getting crushed

419
00:23:35,840 --> 00:23:40,520
Speaker 1: financially by their parent companies, and they're actually now retreating

420
00:23:40,520 --> 00:23:42,159
Speaker 1: even more. I mean, you're going to have a smaller

421
00:23:42,160 --> 00:23:45,080
Speaker 1: group of people based in a smaller geographic footprint of

422
00:23:45,119 --> 00:23:50,320
Speaker 1: New York, DC only in these major networks because of

423
00:23:50,359 --> 00:23:53,520
Speaker 1: what they've done, rather than you know, it was a

424
00:23:53,560 --> 00:23:57,240
Speaker 1: better way to do this. Hopefully mister Carr will come

425
00:23:57,240 --> 00:24:00,159
Speaker 1: on and we can have a real conversation, But he

426
00:24:00,240 --> 00:24:03,160
Speaker 1: apparently does believe the federal government should be able.

427
00:24:02,960 --> 00:24:07,960
Speaker 3: To dictate editorial content. Right.

428
00:24:08,320 --> 00:24:10,920
Speaker 1: Look, I think we all thought the FCC's job was

429
00:24:10,960 --> 00:24:14,680
Speaker 1: about decency, right, you know, the things like nudity, the

430
00:24:14,800 --> 00:24:17,720
Speaker 1: infamous Janet Jackson moment on the Super Bowl halftime show,

431
00:24:17,800 --> 00:24:21,359
Speaker 1: right like that, that was within the broad strokes of

432
00:24:21,400 --> 00:24:25,880
Speaker 1: the FCCIX if you had equal time provisions, right if

433
00:24:25,880 --> 00:24:29,320
Speaker 1: A if Parks and rec were you going to put

434
00:24:29,520 --> 00:24:32,960
Speaker 1: Kamala Harris on that, that NBC network would have to

435
00:24:32,960 --> 00:24:35,439
Speaker 1: give equal time. We had this with SNL and I

436
00:24:35,480 --> 00:24:39,040
Speaker 1: think it was maybe Joe Biden or Kamala Harris, I

437
00:24:39,040 --> 00:24:43,359
Speaker 1: can't can't remember which one. And then folks got equal

438
00:24:43,440 --> 00:24:47,040
Speaker 1: time in that sort of similar time slot. These are

439
00:24:47,280 --> 00:24:52,240
Speaker 1: this is the the quote neutrality and the regulatory touch.

440
00:24:52,560 --> 00:24:55,320
Speaker 1: By the way, that for you free marketers right there,

441
00:24:55,320 --> 00:24:59,040
Speaker 1: that's a light regulatory touch versus what the Trump administration

442
00:24:59,119 --> 00:25:04,600
Speaker 1: wants to do, which is ordinarily heavy handed. It is

443
00:25:04,640 --> 00:25:08,720
Speaker 1: interesting that Running Car said that the news distortion complaint

444
00:25:08,760 --> 00:25:13,720
Speaker 1: at CBS News is still pending. News distortion complaint. Be

445
00:25:13,840 --> 00:25:16,440
Speaker 1: very interesting to see how that does. He also argued

446
00:25:16,440 --> 00:25:19,200
Speaker 1: that the media needs a course correction, of which I'd say,

447
00:25:19,520 --> 00:25:22,320
Speaker 1: welcome to the free market. Guess what the free market

448
00:25:22,359 --> 00:25:25,639
Speaker 1: is doing. It's giving the entire media industry a course correction.

449
00:25:26,160 --> 00:25:28,280
Speaker 1: Guess what Fox News was, if you believe there was,

450
00:25:28,320 --> 00:25:32,119
Speaker 1: the Fox News created the mythology of this left leaning

451
00:25:32,200 --> 00:25:35,679
Speaker 1: broadcast network machine. Right, this all goes back the Nixon

452
00:25:35,720 --> 00:25:38,600
Speaker 1: in case you're wondering, but they created that method. Fine,

453
00:25:39,200 --> 00:25:41,520
Speaker 1: I can accept that they and they did their thing.

454
00:25:41,800 --> 00:25:45,280
Speaker 1: Point is, let the market be the market here, but

455
00:25:45,320 --> 00:25:48,239
Speaker 1: in many ways you're manipulating the market. You're trying to

456
00:25:48,280 --> 00:25:52,480
Speaker 1: manipulate the market, and you're frankly, you're picking on news

457
00:25:52,560 --> 00:25:57,040
Speaker 1: organizations that have had that have far less impact than

458
00:25:57,040 --> 00:26:01,040
Speaker 1: they used to have anyway, because the free market and

459
00:26:01,119 --> 00:26:04,400
Speaker 1: free expression in the First Amendment is working, and if

460
00:26:04,440 --> 00:26:06,480
Speaker 1: you're trying to distort it, you're trying to change it.

461
00:26:06,760 --> 00:26:10,359
Speaker 1: What you're doing is you're actually harming the very integrity of.

462
00:26:10,359 --> 00:26:11,679
Speaker 3: These news organizations.

463
00:26:11,720 --> 00:26:15,439
Speaker 1: Now, and what has been really sad to watch it's

464
00:26:15,520 --> 00:26:19,960
Speaker 1: not a single news division head has pushed back publicly

465
00:26:20,000 --> 00:26:22,119
Speaker 1: on this. Not a single news division head has come

466
00:26:22,160 --> 00:26:25,960
Speaker 1: out and reassured the American public and their viewers that

467
00:26:26,080 --> 00:26:29,560
Speaker 1: they are not state television, that they are not holding

468
00:26:29,640 --> 00:26:35,840
Speaker 1: back on their reporting out of fear of retribution. And frankly,

469
00:26:36,119 --> 00:26:40,200
Speaker 1: I think that silence tells you they can't reassure the public.

470
00:26:40,680 --> 00:26:45,360
Speaker 1: They can't reassure their viewers, they can't reassure their readers.

471
00:26:48,080 --> 00:26:50,800
Speaker 1: Maybe it's that their bosses won't let them. They all

472
00:26:50,840 --> 00:26:54,159
Speaker 1: have to report to somebody at a larger media company. Well,

473
00:26:54,359 --> 00:26:57,000
Speaker 1: I'm sorry, where are you, mister Eiger, Where are you,

474
00:26:57,040 --> 00:27:00,440
Speaker 1: mister Roberts? You need to come out, are you, mister

475
00:27:00,480 --> 00:27:02,600
Speaker 1: zaslofs that you still don't see it in You need

476
00:27:02,640 --> 00:27:08,560
Speaker 1: to come out and say these FCC restrictions on CBS

477
00:27:09,640 --> 00:27:12,880
Speaker 1: go too far. They're a violation of the First Amendment.

478
00:27:13,119 --> 00:27:16,320
Speaker 1: And I don't think if CBS. Frankly, we know Paramount

479
00:27:16,359 --> 00:27:19,040
Speaker 1: is going to do this, but I think they could

480
00:27:19,040 --> 00:27:22,240
Speaker 1: win a First Amendment case here. I think everything the

481
00:27:22,320 --> 00:27:25,359
Speaker 1: FCC is the restrictions they put on them when it

482
00:27:25,400 --> 00:27:27,680
Speaker 1: comes to news content and the un Budsman. By the way,

483
00:27:27,840 --> 00:27:31,240
Speaker 1: CBS voluntarily did their own on budsmen. My best friend

484
00:27:31,320 --> 00:27:36,159
Speaker 1: Von Vergers was their first on Budsman and eventually in

485
00:27:36,160 --> 00:27:36,920
Speaker 1: the news division.

486
00:27:37,119 --> 00:27:37,520
Speaker 3: They didn't.

487
00:27:37,840 --> 00:27:41,320
Speaker 1: It wasn't an easy job. He did a great job

488
00:27:41,400 --> 00:27:44,919
Speaker 1: with it. He took viewer questions on biased and he

489
00:27:44,960 --> 00:27:47,560
Speaker 1: took all sorts of and he would go and and

490
00:27:47,560 --> 00:27:51,000
Speaker 1: and find out where was this quote? You know, did

491
00:27:51,040 --> 00:27:53,879
Speaker 1: you miss this. Let's just say he was not always

492
00:27:53,920 --> 00:27:57,560
Speaker 1: the most popular person inside of CBS News, but there

493
00:27:57,600 --> 00:28:00,320
Speaker 1: is precedent for an on Budsman. But it was a

494
00:28:00,440 --> 00:28:03,560
Speaker 1: choice CBS News made in order to win back viewers.

495
00:28:04,280 --> 00:28:06,800
Speaker 1: It was not a dictate by the FCC. The minute

496
00:28:06,800 --> 00:28:09,800
Speaker 1: it becomes a dictate by the FCC that they're in Budzman, who,

497
00:28:09,800 --> 00:28:12,840
Speaker 1: by the way, who they supposed to report to. In

498
00:28:12,920 --> 00:28:15,880
Speaker 1: Vaughan's Casey reported to the president of CBS News, that

499
00:28:16,080 --> 00:28:19,280
Speaker 1: is the appropriate way for a umbudsman to work, having

500
00:28:19,320 --> 00:28:25,960
Speaker 1: it dictated by the governments. That's what Hungary's doing, folks. Look,

501
00:28:26,000 --> 00:28:27,800
Speaker 1: I don't want to sit here and whine about that

502
00:28:28,040 --> 00:28:30,320
Speaker 1: part of it. You know, I'm a believer in the market.

503
00:28:30,880 --> 00:28:33,320
Speaker 1: I'm a believer that we've got we're in the middle

504
00:28:33,359 --> 00:28:35,240
Speaker 1: of a you know, I say, there's a you know.

505
00:28:35,520 --> 00:28:36,520
Speaker 2: Media goes in stages.

506
00:28:36,560 --> 00:28:40,200
Speaker 1: Here, we we have a new technology, it leads to fragmentation,

507
00:28:40,360 --> 00:28:43,680
Speaker 1: which then leads to consolidation. When we get a new technology,

508
00:28:43,720 --> 00:28:47,360
Speaker 1: we fragment, we consolidate new technology, et cetera, et cetera.

509
00:28:47,680 --> 00:28:49,080
Speaker 1: We're in a moment, We're in the middle of a

510
00:28:49,120 --> 00:28:52,440
Speaker 1: fragmentation and as I joke, I hope to be a consolidator,

511
00:28:52,520 --> 00:28:55,160
Speaker 1: not necessarily get consolidated, but if I get consolidated, it

512
00:28:55,240 --> 00:28:58,840
Speaker 1: might be a win too. And that's what you're watching

513
00:28:58,920 --> 00:29:02,240
Speaker 1: right now, whether it's a new YouTube, the diversification substack,

514
00:29:02,520 --> 00:29:08,880
Speaker 1: what I do on new sphere. So I'm sorry for

515
00:29:08,920 --> 00:29:10,840
Speaker 1: the lack of focus, and I do think there needs

516
00:29:10,880 --> 00:29:16,160
Speaker 1: to be more, uh a more focus on how this

517
00:29:16,320 --> 00:29:20,320
Speaker 1: moment we're living in with Jeffrey Epstein is is what

518
00:29:20,480 --> 00:29:26,760
Speaker 1: happens when a handful of big corporations dictate what narrative

519
00:29:26,840 --> 00:29:27,960
Speaker 1: is and what the conversation is.

520
00:29:28,040 --> 00:29:28,880
Speaker 2: The irony is.

521
00:29:29,080 --> 00:29:32,120
Speaker 1: Everything Brendan Karr claims to be worried about is actually

522
00:29:32,160 --> 00:29:35,680
Speaker 1: happening by the folks that actually control distribution of information

523
00:29:35,720 --> 00:29:38,480
Speaker 1: in this country right now. Because it ain't the networks,

524
00:29:38,960 --> 00:29:42,960
Speaker 1: it ain't us, It is our friends in Silicon Valle,

525
00:29:44,160 --> 00:29:48,920
Speaker 1: They and the Jeffrey Epstein story only exists because of

526
00:29:48,960 --> 00:29:50,800
Speaker 1: the algorithms.

527
00:29:50,520 --> 00:29:53,040
Speaker 3: And the and the and the and.

528
00:29:52,960 --> 00:29:55,520
Speaker 2: The way they created how we.

529
00:29:55,360 --> 00:29:57,040
Speaker 3: Consume information in this country.

530
00:29:57,960 --> 00:30:01,560
Speaker 1: And so now we've got our country whipped up over

531
00:30:01,600 --> 00:30:05,479
Speaker 1: something we're only about ten percent of the facts may

532
00:30:05,480 --> 00:30:09,920
Speaker 1: be true. That's a scary moment, right, we can get

533
00:30:09,960 --> 00:30:13,320
Speaker 1: whipped up on massive amounts of misinformation. This is what

534
00:30:13,360 --> 00:30:16,160
Speaker 1: life was like in the eighteen fifties and it eventually

535
00:30:16,280 --> 00:30:17,120
Speaker 1: led to a civil war.

536
00:30:19,240 --> 00:30:20,040
Speaker 2: I'm not trying to be.

537
00:30:20,040 --> 00:30:24,760
Speaker 1: That that's sort of dark here with that, but this

538
00:30:24,840 --> 00:30:27,720
Speaker 1: is the danger of misinformation, and again the fact that

539
00:30:27,760 --> 00:30:31,960
Speaker 1: we're just whizzen by the idea of regulating AI and

540
00:30:32,120 --> 00:30:33,400
Speaker 1: just going down this road with that.

541
00:30:33,920 --> 00:30:36,800
Speaker 2: Seriously, folks, I had my first in experience.

542
00:30:36,840 --> 00:30:37,160
Speaker 3: Thank you.

543
00:30:37,200 --> 00:30:41,200
Speaker 1: By the way, Google has since fixed it. But as

544
00:30:41,240 --> 00:30:43,200
Speaker 1: my son asked me, he goes, did Google fix it

545
00:30:43,240 --> 00:30:47,080
Speaker 1: because of who you are? And would anybody have had

546
00:30:47,320 --> 00:30:52,160
Speaker 1: misinformation about themselves so easily fixed? We don't know, right,

547
00:30:52,840 --> 00:30:55,360
Speaker 1: because we have so little insight on how they do this,

548
00:30:56,000 --> 00:31:01,280
Speaker 1: and we have such little control over our own own data.

549
00:31:01,320 --> 00:31:04,680
Speaker 1: All right, I want to get a few political things

550
00:31:04,800 --> 00:31:08,760
Speaker 1: out there. There's this Wall Street Journal poll and it's

551
00:31:08,760 --> 00:31:11,760
Speaker 1: a terrific poll. It's you know, I am a fan

552
00:31:11,840 --> 00:31:15,760
Speaker 1: of anybody that uses political professionals, a bipartisan team. It's

553
00:31:15,760 --> 00:31:17,959
Speaker 1: what we had at NBC. Wall Street Journal was our

554
00:31:17,960 --> 00:31:22,240
Speaker 1: partner for some thirty years. We since sort of NBC

555
00:31:22,360 --> 00:31:24,360
Speaker 1: went to its own way, Wall Street Journal it went

556
00:31:24,480 --> 00:31:27,840
Speaker 1: its own way, but both conduct polling the same exact way,

557
00:31:27,880 --> 00:31:31,680
Speaker 1: bipartisan polling team. It's Heart mcinturf on the NBC side.

558
00:31:31,800 --> 00:31:35,480
Speaker 1: It is Angeloni, who is Joe Biden's pollster, Antony Fabrizio,

559
00:31:35,560 --> 00:31:38,240
Speaker 1: who is Donald Trump's pollster at the Wall Street Journal.

560
00:31:38,960 --> 00:31:41,880
Speaker 2: And what I want to bring up is how.

561
00:31:41,720 --> 00:31:45,760
Speaker 1: You consume a poll, because you know there's this you

562
00:31:45,760 --> 00:31:47,920
Speaker 1: know right now if you if you follow social media,

563
00:31:48,120 --> 00:31:50,800
Speaker 1: some people are only promoting Hey, look at this horrible

564
00:31:50,800 --> 00:31:53,880
Speaker 1: poll for Donald Trump and Gallop thirty seven percent job

565
00:31:53,960 --> 00:31:56,959
Speaker 1: approval and on all that internals look terrible for him.

566
00:31:57,000 --> 00:32:00,760
Speaker 1: Two then there's this Wall Street Journal poll which shows

567
00:32:00,760 --> 00:32:02,280
Speaker 1: them with the job to roll and forty six percent.

568
00:32:02,320 --> 00:32:03,640
Speaker 2: You think, well, these are two different polls.

569
00:32:04,200 --> 00:32:06,000
Speaker 1: Well, first of all, let me tell you why you

570
00:32:06,040 --> 00:32:08,440
Speaker 1: shouldn't average them, and why they're not two different polls,

571
00:32:08,440 --> 00:32:11,320
Speaker 1: and how they actually could both be saying very similar things.

572
00:32:11,400 --> 00:32:14,440
Speaker 1: Number one, the Gallup poll is of all adults, so

573
00:32:14,480 --> 00:32:17,920
Speaker 1: it's the full population. It's a random sample of the

574
00:32:17,960 --> 00:32:20,760
Speaker 1: eighteen plus population, So think about two hundred and fifty

575
00:32:20,760 --> 00:32:24,080
Speaker 1: million people versus what the Wall Street Journal does, which

576
00:32:24,120 --> 00:32:26,240
Speaker 1: is an elect which is based on the twenty twenty

577
00:32:26,280 --> 00:32:28,000
Speaker 1: four electorate. They use a voter if they pull their

578
00:32:28,000 --> 00:32:30,800
Speaker 1: sample from a voter file, it's an only registered voter sample.

579
00:32:31,600 --> 00:32:35,200
Speaker 1: Now I do not Gallop did not release the party

580
00:32:35,320 --> 00:32:38,640
Speaker 1: ID splits of its all adult survey, and they don't

581
00:32:38,680 --> 00:32:41,080
Speaker 1: like to do it. They don't ever wait by party

582
00:32:41,680 --> 00:32:44,400
Speaker 1: at all. Those that pull in registered voters every once

583
00:32:44,440 --> 00:32:47,240
Speaker 1: in a while don't necessarily wait fully by party, but

584
00:32:47,320 --> 00:32:50,480
Speaker 1: they'll make sure party ID doesn't get too skewed. Well

585
00:32:50,480 --> 00:32:53,080
Speaker 1: the party ID. Just to give you a sense of

586
00:32:53,240 --> 00:32:58,560
Speaker 1: the of the Wall Street Journal poll of registered voters

587
00:32:59,080 --> 00:33:03,040
Speaker 1: was plus one Republican, forty four forty three Democrats, ten

588
00:33:03,040 --> 00:33:07,040
Speaker 1: percent independent. What's interesting is they had thirty five percent

589
00:33:08,280 --> 00:33:12,040
Speaker 1: hard Republican self ID republic you know, sort of definite

590
00:33:12,200 --> 00:33:15,200
Speaker 1: people they call themselves definitely Republican thirty five percent. It

591
00:33:15,240 --> 00:33:18,160
Speaker 1: was another nine percent that called themselves an independent that

592
00:33:18,240 --> 00:33:21,360
Speaker 1: leans Republican. For the Democrats, it was thirty one percent

593
00:33:22,040 --> 00:33:25,920
Speaker 1: that called themselves a Democrat and another twelve percent to

594
00:33:25,960 --> 00:33:29,400
Speaker 1: call themselves an independent who normally votes Democrat. So if

595
00:33:29,440 --> 00:33:32,840
Speaker 1: you I most of us do like to take indie

596
00:33:32,920 --> 00:33:36,760
Speaker 1: leaners and put them with the partisan group, right, So

597
00:33:36,800 --> 00:33:39,000
Speaker 1: it would be forty four to forty three if you

598
00:33:39,080 --> 00:33:42,400
Speaker 1: include leaners. If you don't include the indie leaners, right,

599
00:33:42,440 --> 00:33:45,920
Speaker 1: you take your ten percent hardcore independent and you add

600
00:33:45,920 --> 00:33:47,760
Speaker 1: the leaners, and you would get to thirty one percent

601
00:33:47,800 --> 00:33:51,720
Speaker 1: of the survey being independent, with twelve percent of Democrat

602
00:33:52,040 --> 00:33:54,920
Speaker 1: Democratic leaning independence, and eight percent of that survey.

603
00:33:54,560 --> 00:33:56,080
Speaker 3: Being Republican leaning independence.

604
00:33:58,240 --> 00:34:01,600
Speaker 1: The point is this is that if you have something

605
00:34:01,640 --> 00:34:04,440
Speaker 1: based on the electorate, President Trump's numbers are going to

606
00:34:04,440 --> 00:34:06,560
Speaker 1: be anywhere from forty three or forty six. There's a

607
00:34:06,680 --> 00:34:10,160
Speaker 1: right now, Republicans have a slight advantage in party ID.

608
00:34:10,440 --> 00:34:13,080
Speaker 1: They have a slight advantage and party registration around the country.

609
00:34:13,160 --> 00:34:13,279
Speaker 2: Right.

610
00:34:13,360 --> 00:34:15,680
Speaker 1: That was the reason why they He won the popular

611
00:34:15,760 --> 00:34:17,960
Speaker 1: vote for the first time and the Republicans won the

612
00:34:17,960 --> 00:34:19,919
Speaker 1: popular vote for the first time since two thousand and four.

613
00:34:21,239 --> 00:34:25,200
Speaker 1: Because of this voter registration program that the Republicans have

614
00:34:25,280 --> 00:34:28,799
Speaker 1: run circles around the Democrats. Democrats voter registration program has

615
00:34:28,840 --> 00:34:32,400
Speaker 1: been atrocious for over a decade, and losing the popular

616
00:34:32,520 --> 00:34:35,719
Speaker 1: vote in twenty twenty four is the exclamation point on

617
00:34:35,760 --> 00:34:39,040
Speaker 1: what has been a decade of just terrible voter registration

618
00:34:39,360 --> 00:34:43,880
Speaker 1: strategy on their part. And all adult survey is going

619
00:34:43,960 --> 00:34:46,080
Speaker 1: to include a lot of people who aren't necessarily voters,

620
00:34:46,640 --> 00:34:49,840
Speaker 1: and it almost always skews a lot more democratic. Over

621
00:34:49,880 --> 00:34:53,280
Speaker 1: the last three or four years, there's been an average

622
00:34:53,400 --> 00:34:56,040
Speaker 1: of a part sort of a survey of all adults

623
00:34:56,120 --> 00:35:00,319
Speaker 1: is usually three to six points more democratic than any

624
00:35:00,360 --> 00:35:04,320
Speaker 1: survey of registered voters. So the point is, if Gallup

625
00:35:04,440 --> 00:35:06,520
Speaker 1: just narrowed down to registered voters, my guess is that

626
00:35:07,080 --> 00:35:09,239
Speaker 1: Trump's job rating sits at forty two, and then when

627
00:35:09,239 --> 00:35:11,600
Speaker 1: you're looking at a forty two percent job rating versus

628
00:35:11,640 --> 00:35:13,600
Speaker 1: a forty six percent job rating, you'd say that's margin

629
00:35:13,600 --> 00:35:17,200
Speaker 1: of vara. So this is among reason number seven, three

630
00:35:17,280 --> 00:35:19,480
Speaker 1: hundred and sixty three why I don't ever believe in,

631
00:35:19,680 --> 00:35:22,520
Speaker 1: you know, average polls. You certainly don't average a Gallup

632
00:35:22,600 --> 00:35:25,000
Speaker 1: poll of adults with a Wall Street Journal pole of

633
00:35:25,000 --> 00:35:28,680
Speaker 1: registered voters. But I'm sorry, I'd only average polls within

634
00:35:28,719 --> 00:35:32,400
Speaker 1: the same polster. I would never take because every methodology

635
00:35:32,440 --> 00:35:35,200
Speaker 1: is different. Wall Street Journal does text a web Gallup

636
00:35:35,200 --> 00:35:37,960
Speaker 1: Pole is only doing cell phones and landlocks. So there's

637
00:35:38,040 --> 00:35:42,360
Speaker 1: just you cannot combine these things. If you do, you

638
00:35:42,400 --> 00:35:44,160
Speaker 1: will create more misleading data.

639
00:35:44,280 --> 00:35:47,000
Speaker 3: It does not help you. Okay, off my soapbox on that.

640
00:35:47,440 --> 00:35:49,560
Speaker 1: I wanted The reason I want to I wanted to

641
00:35:49,600 --> 00:35:52,400
Speaker 1: talk about this Wall Street Journal pole is I do

642
00:35:52,400 --> 00:35:52,919
Speaker 1: think there are.

643
00:35:52,800 --> 00:35:55,480
Speaker 2: A lot of interesting things in it underneath that.

644
00:35:55,560 --> 00:36:02,360
Speaker 1: For once number one, so on the generic ballot, Democrats

645
00:36:02,400 --> 00:36:04,160
Speaker 1: only led by three points, and I say only at

646
00:36:04,200 --> 00:36:08,520
Speaker 1: this point in time. In twenty seventeen, they were already

647
00:36:08,640 --> 00:36:12,040
Speaker 1: six seven eight points ahead on the generic ballot going

648
00:36:12,040 --> 00:36:14,799
Speaker 1: into the midterms. On this one, there's three. But here's

649
00:36:14,800 --> 00:36:17,640
Speaker 1: where there's a small room of good news for them.

650
00:36:17,640 --> 00:36:21,160
Speaker 2: In this poll. Among those that say they're definitely going to.

651
00:36:21,200 --> 00:36:25,480
Speaker 1: Vote, Democrats led thirty eight to thirty one, led by seven.

652
00:36:26,040 --> 00:36:27,279
Speaker 2: It's when you include the.

653
00:36:27,280 --> 00:36:32,359
Speaker 1: Probably that you got the more narrow so already the

654
00:36:32,400 --> 00:36:35,200
Speaker 1: intensity advantage. And we've seen this in other polls, right

655
00:36:35,280 --> 00:36:38,040
Speaker 1: there are more people interested in you know, voters who

656
00:36:38,040 --> 00:36:41,759
Speaker 1: are lean Democratic are upwards of twenty points more likely

657
00:36:41,840 --> 00:36:45,439
Speaker 1: to vote right now than those on the Republican side,

658
00:36:45,440 --> 00:36:51,759
Speaker 1: So you're seeing an intensity advantage there. So this is

659
00:36:51,800 --> 00:36:55,759
Speaker 1: a case where the Democratic brand problem may not show

660
00:36:55,800 --> 00:37:00,920
Speaker 1: itself as as much in the midterms because the midterms

661
00:37:00,920 --> 00:37:03,160
Speaker 1: are an anti vote, right, The midterms are a vote

662
00:37:03,200 --> 00:37:05,800
Speaker 1: against the party in power, So you can get people

663
00:37:05,800 --> 00:37:08,000
Speaker 1: that don't like the Democrats to show up and vote

664
00:37:08,000 --> 00:37:11,440
Speaker 1: against the Republican And by the way, I would argue

665
00:37:11,440 --> 00:37:14,560
Speaker 1: this massive sixty three percent unfavorable rating that the Wall

666
00:37:14,560 --> 00:37:18,360
Speaker 1: Street Journal posters found on the Democratic Party, It only

667
00:37:18,400 --> 00:37:20,080
Speaker 1: said to me is I'd like to see a deeper

668
00:37:20,120 --> 00:37:23,879
Speaker 1: dive of polling just among Democrats and independents and go

669
00:37:23,960 --> 00:37:26,080
Speaker 1: a deep dive on this. How many of them are

670
00:37:26,120 --> 00:37:28,960
Speaker 1: upset about cultural issues, how many of them unfavorable due

671
00:37:29,000 --> 00:37:32,040
Speaker 1: to their leadership or lack thereof, How many of them

672
00:37:32,040 --> 00:37:35,040
Speaker 1: are simply blame the Democratic Party for Donald Trump winning

673
00:37:35,040 --> 00:37:35,480
Speaker 1: the election?

674
00:37:35,680 --> 00:37:37,960
Speaker 3: Right, you know, if Joe Biden.

675
00:37:37,719 --> 00:37:41,120
Speaker 1: Were a better leader, there'd be no Donald Trump, is

676
00:37:41,160 --> 00:37:43,560
Speaker 1: one theory of the case. But how much of this

677
00:37:43,960 --> 00:37:48,360
Speaker 1: anger and unfavorability toward the Democrats is an issue over

678
00:37:48,520 --> 00:37:50,680
Speaker 1: them going too far, of the left, being too woke,

679
00:37:50,800 --> 00:37:54,320
Speaker 1: being too judgy and how much how many of these

680
00:37:54,760 --> 00:37:59,920
Speaker 1: unfavorable views are your shittiness as a political party and

681
00:38:00,120 --> 00:38:05,160
Speaker 1: the terrible leadership over the last decade led to Donald Trump. Right,

682
00:38:05,280 --> 00:38:07,279
Speaker 1: So the point is you need a deeper dive.

683
00:38:07,640 --> 00:38:07,840
Speaker 3: To me.

684
00:38:07,960 --> 00:38:11,080
Speaker 1: This number is a you know, five alarm fire for

685
00:38:11,120 --> 00:38:14,040
Speaker 1: the Democratic Party. This is the type of autopsy work

686
00:38:14,080 --> 00:38:16,640
Speaker 1: they should be doing, which is trying to figure out

687
00:38:16,960 --> 00:38:19,680
Speaker 1: why people have left the Democratic Party, why people don't

688
00:38:19,760 --> 00:38:22,320
Speaker 1: like the Democratic Party, why people are unfavorable towards the

689
00:38:22,360 --> 00:38:25,720
Speaker 1: Democratic Party. In fact, you know, this is a public

690
00:38:25,719 --> 00:38:28,000
Speaker 1: that doesn't like anybody. Right, Everything that the Wall Street

691
00:38:28,040 --> 00:38:32,160
Speaker 1: Journal tested was unfavorable. Okay, Trump had an unfavored net

692
00:38:32,160 --> 00:38:35,120
Speaker 1: negative rating, Republican Party at a net negative, Elon Musk

693
00:38:35,120 --> 00:38:37,280
Speaker 1: had a net negative. Arka Junior had a net negative,

694
00:38:37,280 --> 00:38:39,400
Speaker 1: Pam Bondi at a net negative, the Supreme Court of

695
00:38:39,440 --> 00:38:41,520
Speaker 1: the United States had a net negative, Ice had a

696
00:38:41,560 --> 00:38:45,120
Speaker 1: net negative. But the Democrats were more negative than all

697
00:38:45,160 --> 00:38:49,640
Speaker 1: of them. Right, All of those entities are unpopular. The

698
00:38:49,680 --> 00:38:53,680
Speaker 1: Democratic Party is more popular than that. But here's a

699
00:38:53,680 --> 00:38:57,759
Speaker 1: few other yellow flags. Why that it's possible that an

700
00:38:57,840 --> 00:39:02,880
Speaker 1: undid the Democratic Party can be more unpopular then the

701
00:39:02,960 --> 00:39:06,400
Speaker 1: Republicans and Donald Trump and still quote unquote whin the

702
00:39:06,440 --> 00:39:11,000
Speaker 1: midterms because listen to the results of this question. This

703
00:39:11,040 --> 00:39:13,040
Speaker 1: is in the Wall Street Journal call do.

704
00:39:13,000 --> 00:39:15,040
Speaker 2: You think Congress is doing too much, too little, or

705
00:39:15,040 --> 00:39:17,400
Speaker 2: about the right amount to act as a check and

706
00:39:17,480 --> 00:39:21,000
Speaker 2: balance on President Trump's powers? Eleven percent said too much,

707
00:39:21,680 --> 00:39:26,280
Speaker 2: twenty six percent said about the right amount, fifty seven

708
00:39:26,320 --> 00:39:31,520
Speaker 2: percent said too little. You talk to any political strategist

709
00:39:31,520 --> 00:39:31,959
Speaker 2: worth their.

710
00:39:31,920 --> 00:39:35,160
Speaker 1: Salt about midterm elections and they will tell you the

711
00:39:35,280 --> 00:39:38,719
Speaker 1: single most effective ad you can run when you're the

712
00:39:38,719 --> 00:39:41,120
Speaker 1: party out of power is simply saying we're going to

713
00:39:41,120 --> 00:39:43,200
Speaker 1: be a check on the president. Because what you can

714
00:39:43,239 --> 00:39:45,080
Speaker 1: do is you can appeal to somebody who voted for

715
00:39:45,120 --> 00:39:47,960
Speaker 1: the president who thinks there should be a check on

716
00:39:48,000 --> 00:39:53,200
Speaker 1: the president's power. Advocating for a check on the president

717
00:39:54,280 --> 00:39:57,240
Speaker 1: widens the pool of voters who may end up wanting

718
00:39:57,239 --> 00:40:02,040
Speaker 1: to support you. Hey, he may have some good ideas,

719
00:40:02,040 --> 00:40:04,120
Speaker 1: but he needs to you know, Congress needs to have

720
00:40:04,160 --> 00:40:08,120
Speaker 1: more of a set. That person's a rubber stamp. They

721
00:40:08,200 --> 00:40:10,520
Speaker 1: vote with the president ninety seven percent of the time

722
00:40:10,600 --> 00:40:13,279
Speaker 1: ninety eight percent. Notice these ads are very frequent in

723
00:40:13,320 --> 00:40:15,560
Speaker 1: midterm elections. Whoever there's a party out of power. The

724
00:40:16,120 --> 00:40:18,640
Speaker 1: ad you will see the most against any e Ginerican

725
00:40:18,680 --> 00:40:22,640
Speaker 1: combent is so and so votes with the president ninety law.

726
00:40:22,600 --> 00:40:23,279
Speaker 2: Percent of the time.

727
00:40:23,280 --> 00:40:25,880
Speaker 1: I say block because usually ninety two, ninety three, ninety four,

728
00:40:25,960 --> 00:40:28,680
Speaker 1: ninety five, ninety six or ninety seven, right, believe it

729
00:40:28,760 --> 00:40:31,320
Speaker 1: or not, I actually think anything under ninety five means

730
00:40:31,440 --> 00:40:33,400
Speaker 1: they're not usually a big partisan, because.

731
00:40:33,200 --> 00:40:35,920
Speaker 3: These days it's it's it's you know, if.

732
00:40:35,760 --> 00:40:39,600
Speaker 1: You're ninety five percent north, you're just a partisan that

733
00:40:39,840 --> 00:40:44,480
Speaker 1: never that will always that puts party before any specific issue.

734
00:40:44,520 --> 00:40:46,880
Speaker 1: If you're below ninety five percent voting with your president,

735
00:40:47,120 --> 00:40:49,719
Speaker 1: then there actually are some issues that you're willing to

736
00:40:49,840 --> 00:40:54,680
Speaker 1: challenge your party at that. So there's a lot of uh,

737
00:40:55,000 --> 00:40:57,319
Speaker 1: there's a lot of fascinating I'll tell you this In

738
00:40:57,360 --> 00:41:01,759
Speaker 1: the same poll, which is there's one of these polls

739
00:41:01,800 --> 00:41:04,279
Speaker 1: that has something for everybody. In this same poll, it

740
00:41:04,320 --> 00:41:09,040
Speaker 1: is worth noting that on issue by issue, the only

741
00:41:09,160 --> 00:41:12,560
Speaker 1: thing that Democrats in Congress have an advantage on over

742
00:41:12,640 --> 00:41:21,840
Speaker 1: Republicans in Congress on our healthcare and vaccine policy, voters

743
00:41:21,880 --> 00:41:24,960
Speaker 1: prefer Republicans in Congress over Democrats in Congress on foreign

744
00:41:24,960 --> 00:41:29,920
Speaker 1: policy by eight points. It's tied among looking out for

745
00:41:29,920 --> 00:41:33,279
Speaker 1: middle class families, which is a red flag for Democrats.

746
00:41:33,719 --> 00:41:37,040
Speaker 1: On tariffs, they trust the Republicans by single digits, by

747
00:41:37,040 --> 00:41:40,840
Speaker 1: seven points. On illegal information, they trust Republicans by twenty

748
00:41:40,840 --> 00:41:45,520
Speaker 1: four points. On immigration, they trust Republicans by thirteen points.

749
00:41:46,000 --> 00:41:48,880
Speaker 1: On inflation and rising prices, they trust Republicans in Congress

750
00:41:48,880 --> 00:41:52,160
Speaker 1: by ten points, and on the economy they trust Republicans

751
00:41:52,160 --> 00:41:54,520
Speaker 1: in Congress by twelve points. So the point is the

752
00:41:54,560 --> 00:41:59,600
Speaker 1: Democratic brand is in the shire hard stop. And you asked,

753
00:41:59,640 --> 00:42:02,560
Speaker 1: you know, this is why there's a Republican House, a

754
00:42:02,640 --> 00:42:06,319
Speaker 1: Republican Senate, and Republican presidency. Are they happy with Donald

755
00:42:06,360 --> 00:42:09,520
Speaker 1: Trump and his policies? The answer is no. He's underwater

756
00:42:09,600 --> 00:42:13,879
Speaker 1: on everything unless you word immigration and use the word

757
00:42:13,960 --> 00:42:17,320
Speaker 1: illegal informent immigration. It's interesting the Wall Street Journal posters

758
00:42:17,320 --> 00:42:20,400
Speaker 1: did a split sample. When they asked his job approval

759
00:42:20,480 --> 00:42:24,560
Speaker 1: ratingly handling immigration, it was slightly underwater. When they asked

760
00:42:24,560 --> 00:42:29,440
Speaker 1: his job approval asking about his handling illegal immigration, adding

761
00:42:29,440 --> 00:42:30,480
Speaker 1: the word illegal there.

762
00:42:30,880 --> 00:42:33,319
Speaker 2: It was the only issue he was above water on.

763
00:42:33,600 --> 00:42:36,000
Speaker 1: So you had to add the word illegal, which is

764
00:42:36,000 --> 00:42:39,680
Speaker 1: why you're going to hear Republican messaging seeing the words illegal, illegal, illegal,

765
00:42:39,760 --> 00:42:45,680
Speaker 1: illegal all the time. So look, there's this this Wall

766
00:42:45,680 --> 00:42:49,200
Speaker 1: Street Journal poll, right classic as a journalist, I'd say, oh,

767
00:42:49,239 --> 00:42:53,080
Speaker 1: there was something in there for everybody. But this wasn't

768
00:42:53,080 --> 00:42:55,680
Speaker 1: a great poll for Donald Trump. It just wasn't as

769
00:42:55,760 --> 00:42:59,279
Speaker 1: bad of a headline as the Gallup Pole. But the

770
00:42:59,320 --> 00:43:02,719
Speaker 1: Gallup Pole didn't somehow show something that the Wall Street

771
00:43:02,760 --> 00:43:05,480
Speaker 1: Journal poll didn't show. You're just dealing with an all

772
00:43:05,480 --> 00:43:09,279
Speaker 1: adults sample versus a registered voter sample. And in case

773
00:43:09,320 --> 00:43:11,680
Speaker 1: you're wondering, and I'm going to get we're about to

774
00:43:11,680 --> 00:43:16,040
Speaker 1: get to a pollster in a minute. I used to

775
00:43:16,080 --> 00:43:19,880
Speaker 1: have my own dilemmas on this about it all depends

776
00:43:19,920 --> 00:43:22,480
Speaker 1: on what promise you're making, on who you're conducting a

777
00:43:22,520 --> 00:43:24,640
Speaker 1: poll for. If your job is to find out what

778
00:43:24,680 --> 00:43:28,840
Speaker 1: does America think, well, then you should be pulling all adults.

779
00:43:29,040 --> 00:43:31,799
Speaker 1: If your job is to figure out what is a

780
00:43:31,840 --> 00:43:34,600
Speaker 1: midterm electorate going to think, well, that's a.

781
00:43:34,680 --> 00:43:37,680
Speaker 3: Much different sample, right. That's Republican Party.

782
00:43:37,960 --> 00:43:42,480
Speaker 1: And the old method. Way back in our way back machine,

783
00:43:42,520 --> 00:43:45,760
Speaker 1: this was pre twenty sixteen. We had as fairly standard,

784
00:43:45,800 --> 00:43:47,920
Speaker 1: we did adults in the odd number of years, and

785
00:43:47,960 --> 00:43:50,200
Speaker 1: we did registered voters in the even number of years.

786
00:43:50,760 --> 00:43:54,080
Speaker 1: Then as we saw that there were these just huge disparities,

787
00:43:54,760 --> 00:43:57,440
Speaker 1: over time, we shifted to just registered.

788
00:43:57,080 --> 00:43:58,279
Speaker 3: Voters the entire time.

789
00:43:59,360 --> 00:44:00,680
Speaker 2: I still go home and cold.

790
00:44:01,120 --> 00:44:02,799
Speaker 1: Right, I think, if you're trying to find out what

791
00:44:02,800 --> 00:44:05,720
Speaker 1: does America think? You know, if you choose not to decide,

792
00:44:05,760 --> 00:44:07,360
Speaker 1: you still have made a choice. Meaning if you're a

793
00:44:07,400 --> 00:44:09,560
Speaker 1: non voter, it doesn't make you any less of an

794
00:44:09,560 --> 00:44:13,120
Speaker 1: American and your opinion. You know, you don't choose to

795
00:44:13,640 --> 00:44:15,960
Speaker 1: express your opinion at the ballot box, but it doesn't

796
00:44:16,000 --> 00:44:18,520
Speaker 1: mean your opinion doesn't matter as far as survey work

797
00:44:18,600 --> 00:44:23,760
Speaker 1: is concerned, and your preferences, say in business, marketing, culture,

798
00:44:23,800 --> 00:44:29,759
Speaker 1: et cetera. So preferably I'd like to see adults with

799
00:44:29,840 --> 00:44:32,880
Speaker 1: a subset of registered voters. I wish my friends at

800
00:44:32,920 --> 00:44:35,520
Speaker 1: Gallup did that all the time. And I wish all

801
00:44:35,560 --> 00:44:39,360
Speaker 1: the registered voter samplers would occasionally do an all adult

802
00:44:39,440 --> 00:44:42,880
Speaker 1: and open it up just a bit more, because sometimes

803
00:44:43,239 --> 00:44:48,200
Speaker 1: there are some gaps between the two. All Right, I've

804
00:44:48,239 --> 00:44:50,560
Speaker 1: gone on long enough with my polling lecture here and

805
00:44:50,600 --> 00:44:53,440
Speaker 1: my lecture to the FCC and my lectures to the

806
00:44:53,520 --> 00:44:54,400
Speaker 1: tech companies.

807
00:44:57,400 --> 00:45:00,440
Speaker 2: Let's take a break and coming up my conversation.

808
00:45:00,040 --> 00:45:01,200
Speaker 3: With John delia.

809
00:45:10,080 --> 00:45:13,120
Speaker 1: Well joining me now is the director of polling for

810
00:45:13,239 --> 00:45:17,080
Speaker 1: Harvard's Institute of Politics, John DELAFORPE, but he's also the

811
00:45:17,160 --> 00:45:20,680
Speaker 1: author of a great substack JDV on gen Z, and

812
00:45:20,719 --> 00:45:24,760
Speaker 1: what he's really become is sort of this this oracle,

813
00:45:24,800 --> 00:45:27,359
Speaker 1: if you will, or at least some people view him

814
00:45:27,360 --> 00:45:30,080
Speaker 1: as an oracle of trying to understand where gen Z

815
00:45:30,280 --> 00:45:30,640
Speaker 1: is going.

816
00:45:30,680 --> 00:45:33,239
Speaker 2: And it's a developing you know, this is you know,

817
00:45:33,480 --> 00:45:33,799
Speaker 2: if you.

818
00:45:33,920 --> 00:45:36,160
Speaker 1: Think you've cracked the code on gen Z today, just

819
00:45:36,200 --> 00:45:39,320
Speaker 1: wait twenty four hours. It'll change and we're going to

820
00:45:39,000 --> 00:45:42,600
Speaker 1: get into that. But you know, John, that's a good

821
00:45:42,600 --> 00:45:45,160
Speaker 1: time to have you because you've both done some survey

822
00:45:45,239 --> 00:45:48,760
Speaker 1: work in the last six months, and more importantly, we've

823
00:45:48,800 --> 00:45:53,120
Speaker 1: gotten the final product of what happened in twenty twenty four.

824
00:45:53,160 --> 00:45:55,120
Speaker 1: We've gotten all that data, and I know you've been

825
00:45:55,120 --> 00:45:57,920
Speaker 1: able to consume all of that. So let's rewind the

826
00:45:57,920 --> 00:45:58,759
Speaker 1: clock a little bit.

827
00:45:58,960 --> 00:45:59,399
Speaker 2: All right.

828
00:46:00,080 --> 00:46:02,279
Speaker 1: You knew you had issued this warning about the youth

829
00:46:02,360 --> 00:46:06,000
Speaker 1: vote going into election day twenty twenty four. You've now

830
00:46:06,080 --> 00:46:09,480
Speaker 1: seen all the data. What did we miss in playing sight?

831
00:46:10,040 --> 00:46:11,719
Speaker 1: And let me ask say this what do you think

832
00:46:11,760 --> 00:46:14,120
Speaker 1: you ended up? Did you miss anything as much as

833
00:46:14,120 --> 00:46:16,359
Speaker 1: you were sort of on top of this? Was there

834
00:46:16,480 --> 00:46:20,200
Speaker 1: even more that you may have missed? So we've got

835
00:46:20,239 --> 00:46:25,160
Speaker 1: all of the answer, keys, Now what did take me back?

836
00:46:25,200 --> 00:46:28,959
Speaker 2: What have you learned since? Well, again, thanks so much

837
00:46:28,960 --> 00:46:33,319
Speaker 2: for having me, Chuck. To start with, there has been

838
00:46:33,400 --> 00:46:39,120
Speaker 2: a perfect correlation in this century to when Democratic candidates

839
00:46:39,120 --> 00:46:43,120
Speaker 2: for presidents when sixty percent of the youth vote, they

840
00:46:43,160 --> 00:46:49,120
Speaker 2: win the election. When Republicans nominees can keep them somewhere

841
00:46:49,160 --> 00:46:52,359
Speaker 2: below sixty percent in the mid fifties, that is their

842
00:46:52,440 --> 00:46:55,239
Speaker 2: ticket to the White House. Okay, So Donald, it's not

843
00:46:55,239 --> 00:46:56,560
Speaker 2: about turnout per se.

844
00:46:56,600 --> 00:46:59,680
Speaker 1: It really is about how much of that group you win,

845
00:47:00,080 --> 00:47:01,560
Speaker 1: not how much of that group turns out.

846
00:47:02,120 --> 00:47:06,040
Speaker 2: So there's a combination, but it's really about that top number. Okay.

847
00:47:06,280 --> 00:47:10,000
Speaker 2: In Barack Obama got sixty six percent and then sixty percent,

848
00:47:10,239 --> 00:47:12,920
Speaker 2: oh eight twelve, Joe Biden got sixty percent, sixty one

849
00:47:13,000 --> 00:47:17,680
Speaker 2: percent four years ago. Okay. In this cycle, Kamala Harris

850
00:47:17,680 --> 00:47:19,840
Speaker 2: got somewhere in the mid fifties. Okay, I call it

851
00:47:19,880 --> 00:47:23,200
Speaker 2: fifty five fifty six percent. You know, none of the

852
00:47:23,360 --> 00:47:26,160
Speaker 2: post election work is kind of perfect So the question

853
00:47:26,320 --> 00:47:29,840
Speaker 2: is is it possible? And what Hillary Clinton get? You

854
00:47:29,920 --> 00:47:32,279
Speaker 2: got the same fifty five to fifty six percent. John

855
00:47:32,320 --> 00:47:35,240
Speaker 2: Cary got fifty four percent. Ali Gore got fifty one percent.

856
00:47:35,360 --> 00:47:39,440
Speaker 2: So but there generic democrat Chuck right, that the generic

857
00:47:39,480 --> 00:47:43,920
Speaker 2: Democrat starts in the mid fifties. Okay, So their job, okay,

858
00:47:44,320 --> 00:47:48,200
Speaker 2: is to persuade basically kind of ten percent. It's it's

859
00:47:48,200 --> 00:47:51,600
Speaker 2: an InCred improve that number of by ten percent to

860
00:47:51,680 --> 00:47:53,680
Speaker 2: get to fifteen nine fifty six percent. Right, And if

861
00:47:53,800 --> 00:47:56,680
Speaker 2: if Joe Biden could do it, okay, didn't have a

862
00:47:56,719 --> 00:47:59,840
Speaker 2: record in twenty twenty of necessary being close to the

863
00:47:59,840 --> 00:48:04,160
Speaker 2: youth vote. I think virtually any modern Democrat could do that.

864
00:48:04,520 --> 00:48:09,560
Speaker 2: The question is why didn't that happen? Okay? Where were

865
00:48:09,640 --> 00:48:11,480
Speaker 2: the kind of where were the drop offs? How did

866
00:48:11,520 --> 00:48:14,120
Speaker 2: we it in? You know? And what was the pathway

867
00:48:14,480 --> 00:48:18,600
Speaker 2: for Donald Trump? A couple of things. Kamala Harris did

868
00:48:18,880 --> 00:48:23,200
Speaker 2: less well among young men and young women than Joe

869
00:48:23,200 --> 00:48:24,880
Speaker 2: Biden four years previous.

870
00:48:25,080 --> 00:48:26,799
Speaker 1: Okay, by the way, I'm glad you pointed this out

871
00:48:26,800 --> 00:48:29,800
Speaker 1: about young women, because there's all been this obsession about,

872
00:48:29,840 --> 00:48:32,800
Speaker 1: for instance, black men versus black women.

873
00:48:33,160 --> 00:48:35,880
Speaker 2: Well, when I looked at the numbers heard. You know,

874
00:48:36,440 --> 00:48:39,040
Speaker 2: she she didn't lose ground just among black men. She

875
00:48:39,080 --> 00:48:41,400
Speaker 2: also lost ground among black women. She didn't lose ground

876
00:48:41,400 --> 00:48:44,280
Speaker 2: just among Hispanic men. She also lost ground among Hispanic women.

877
00:48:44,360 --> 00:48:47,000
Speaker 2: It was across the board she lost ground. It wasn't.

878
00:48:47,040 --> 00:48:48,520
Speaker 1: You can't just sit here and say it was some

879
00:48:49,239 --> 00:48:52,360
Speaker 1: gender specific thing in one age group, because that's not

880
00:48:52,480 --> 00:48:55,960
Speaker 1: what the uh, the end game data has shown. Now

881
00:48:55,960 --> 00:48:58,560
Speaker 1: that everybody has taken the voter file and shown us

882
00:48:58,560 --> 00:48:59,280
Speaker 1: what we've seen.

883
00:48:59,600 --> 00:49:03,000
Speaker 2: And by and catalysts, and their post election report in

884
00:49:03,040 --> 00:49:05,040
Speaker 2: terms of the voter file said it was not a

885
00:49:05,080 --> 00:49:09,720
Speaker 2: turnout issue. Okay, it was you know, virtually similar turnout

886
00:49:09,719 --> 00:49:12,520
Speaker 2: than two thousand and twenty. It's that they chose a

887
00:49:12,520 --> 00:49:15,160
Speaker 2: different pathway, and we should get into why they chose

888
00:49:15,200 --> 00:49:18,239
Speaker 2: what they chose. Okay, But yeah, there's a ceiling I

889
00:49:18,239 --> 00:49:21,520
Speaker 2: think for Democrats with younger women in the mid sixties,

890
00:49:21,640 --> 00:49:24,480
Speaker 2: and you know, two or three points makes a significant difference.

891
00:49:24,840 --> 00:49:28,160
Speaker 2: But the thing that I believe is unforgivable chuck for

892
00:49:28,239 --> 00:49:31,600
Speaker 2: Democrats is what happened among younger men. Okay, because in

893
00:49:31,640 --> 00:49:34,239
Speaker 2: my view, and you know, and we had talked about this,

894
00:49:34,320 --> 00:49:36,359
Speaker 2: I had written about it, on the substack. I wrote

895
00:49:36,360 --> 00:49:38,960
Speaker 2: about it, you know, a week or so, ten days out,

896
00:49:39,040 --> 00:49:41,799
Speaker 2: you know, from the New York Times. Is that this

897
00:49:41,960 --> 00:49:46,600
Speaker 2: issue with with younger men, this issue among people with color,

898
00:49:46,719 --> 00:49:51,800
Speaker 2: had been developing for months, if not years. I believe

899
00:49:52,160 --> 00:49:55,840
Speaker 2: Donald Trump looked at the data in twenty and twenty

900
00:49:55,880 --> 00:49:59,440
Speaker 2: twenty twenty one, realizing that if he was going to

901
00:49:59,600 --> 00:50:03,360
Speaker 2: win back the presidency, he needed to expand his electorate

902
00:50:03,440 --> 00:50:06,640
Speaker 2: and made younger men a significant focus of that. In

903
00:50:06,840 --> 00:50:09,320
Speaker 2: just the last couple of months of the last cycle,

904
00:50:09,320 --> 00:50:12,440
Speaker 2: he's spent over twenty million dollars communicating with the younger men,

905
00:50:12,480 --> 00:50:15,080
Speaker 2: on top of you know, the millions and millions of

906
00:50:15,080 --> 00:50:19,520
Speaker 2: dollars he and his aligned forces have kind of invested.

907
00:50:20,120 --> 00:50:23,359
Speaker 2: And and then what that amounted to was a ten

908
00:50:23,440 --> 00:50:29,000
Speaker 2: point decrease, okay, among young black men from basically seventy five,

909
00:50:29,239 --> 00:50:31,320
Speaker 2: you know, ten point decrease from eighty five to seventy

910
00:50:31,320 --> 00:50:34,959
Speaker 2: five percent support for Democrats, A sixteen fifteen, sixteen point

911
00:50:35,040 --> 00:50:40,040
Speaker 2: decrease among young Hispanic men, a four point decrease among

912
00:50:40,120 --> 00:50:42,720
Speaker 2: young white it's a six point decrease among young Asian

913
00:50:42,760 --> 00:50:46,760
Speaker 2: American Pacific Island or men. So just across the board,

914
00:50:47,040 --> 00:50:49,400
Speaker 2: and again, as we said, it wasn't just that eighteen

915
00:50:49,440 --> 00:50:52,240
Speaker 2: to twenty nine year old brackets similar but not as

916
00:50:52,280 --> 00:50:54,719
Speaker 2: not as substantial, I think decreases. And you know what

917
00:50:54,760 --> 00:50:55,239
Speaker 2: that looks like.

918
00:50:55,719 --> 00:50:57,360
Speaker 1: You know what I've like told people, you know, the

919
00:50:58,520 --> 00:51:05,040
Speaker 1: split on ethnicity and race between Trump and Harris looked

920
00:51:05,040 --> 00:51:06,960
Speaker 1: almost identical to Bush.

921
00:51:06,800 --> 00:51:08,560
Speaker 3: Carryo four mm hmmmm.

922
00:51:09,320 --> 00:51:14,000
Speaker 2: I'm latinos and I'm black hooves especial exactly right. So

923
00:51:14,200 --> 00:51:18,040
Speaker 2: the idea of like democrat, I mean, demographics are not destiny.

924
00:51:18,920 --> 00:51:22,400
Speaker 2: You know, you need to constantly invest in you know

925
00:51:22,520 --> 00:51:26,319
Speaker 2: my takeaway right after the election, and I feel even

926
00:51:26,360 --> 00:51:30,200
Speaker 2: stronger about it now, is that to me, it's not

927
00:51:30,239 --> 00:51:33,400
Speaker 2: a debate about should the party go further to the

928
00:51:33,480 --> 00:51:37,120
Speaker 2: left for or closer to the right or to the center.

929
00:51:37,480 --> 00:51:40,120
Speaker 2: It's a question of they need to get closer to

930
00:51:40,160 --> 00:51:43,160
Speaker 2: the people right, they need to listen and to get closer,

931
00:51:43,280 --> 00:51:45,839
Speaker 2: not left and not right, get closer. And unless you're

932
00:51:45,880 --> 00:51:49,920
Speaker 2: constantly investing in that, in that listening, then I think

933
00:51:49,920 --> 00:51:52,680
Speaker 2: the party is going to have a hard time getting

934
00:51:52,680 --> 00:51:54,480
Speaker 2: its footing and moving past us.

935
00:51:54,960 --> 00:51:58,200
Speaker 1: Is it possible that Barack Obama just created an outlier

936
00:51:58,400 --> 00:52:03,040
Speaker 1: coalition for himself that Joe Biden borrowed for one election

937
00:52:03,719 --> 00:52:06,440
Speaker 1: very successfully, you know, just in the same way George H. W.

938
00:52:06,520 --> 00:52:09,360
Speaker 1: Bush borrowed the Reagan Coalition for one election and it

939
00:52:09,400 --> 00:52:12,520
Speaker 1: didn't sustain, right, Democrats couldn't sustain it.

940
00:52:12,920 --> 00:52:15,120
Speaker 2: Because what is interesting to me is.

941
00:52:15,200 --> 00:52:17,800
Speaker 1: And I've always believed that, you know, to have Democrats

942
00:52:17,880 --> 00:52:20,640
Speaker 1: quote unquote lost support among black voters, or did black

943
00:52:20,760 --> 00:52:27,799
Speaker 1: voters temporarily support Barack Obama in greater numbers and then

944
00:52:27,840 --> 00:52:31,319
Speaker 1: when the choices were no longer about essentially you know,

945
00:52:32,719 --> 00:52:36,000
Speaker 1: making sure the first black president, you know, wasn't mistreated,

946
00:52:36,120 --> 00:52:39,120
Speaker 1: you know, by the American electorate that hey, guess what,

947
00:52:39,520 --> 00:52:41,480
Speaker 1: There's always been fifteen to twenty percent of the black

948
00:52:41,560 --> 00:52:46,439
Speaker 1: vote that is leaned right, and Democrats overperformed with those

949
00:52:46,640 --> 00:52:49,719
Speaker 1: voters because of Barack Obama. And now that he's not

950
00:52:49,760 --> 00:52:52,360
Speaker 1: really a part of the conversation, they went back to

951
00:52:53,760 --> 00:52:57,160
Speaker 1: their natural home ideologically, which is the Republican Party.

952
00:52:57,920 --> 00:53:00,799
Speaker 2: Well, I also think in the thing that keeps me,

953
00:53:01,360 --> 00:53:06,760
Speaker 2: you know, so curious, is that every every every cycle,

954
00:53:06,880 --> 00:53:09,840
Speaker 2: check right, we have a new cohort of young people

955
00:53:10,080 --> 00:53:15,840
Speaker 2: right bringing their own experiences. So well, there are still

956
00:53:15,920 --> 00:53:19,920
Speaker 2: some extremely loyal folks, right, you know Democrats within you know,

957
00:53:19,960 --> 00:53:22,640
Speaker 2: the African American and Black community. It doesn't mean their kids,

958
00:53:22,719 --> 00:53:25,319
Speaker 2: their grandkids are going to be loyal, right. And they

959
00:53:25,360 --> 00:53:28,400
Speaker 2: often tell me that, you know that their parents and

960
00:53:28,440 --> 00:53:32,200
Speaker 2: their grandparents have voted one particular way for Democrats for

961
00:53:32,239 --> 00:53:35,040
Speaker 2: the entire generation. And now they're looking at you know,

962
00:53:36,239 --> 00:53:41,080
Speaker 2: how has that loyalty. What are the dividends of that loyalty? Right?

963
00:53:41,480 --> 00:53:43,960
Speaker 2: And and what do the public schools look like in

964
00:53:44,320 --> 00:53:46,759
Speaker 2: those communities? Right? What are the housing opportunities in those

965
00:53:46,800 --> 00:53:49,640
Speaker 2: pop what're the healthcare you know kind of opportunities. And

966
00:53:49,680 --> 00:53:54,399
Speaker 2: they're basically saying, we're going to turn out if we

967
00:53:54,480 --> 00:53:58,680
Speaker 2: believe authentically that the candidate is speaking to them, right

968
00:53:58,760 --> 00:54:00,840
Speaker 2: and can make a tangible difference in their lives. And

969
00:54:00,880 --> 00:54:03,920
Speaker 2: it's just not kind of this automatic support part of

970
00:54:03,960 --> 00:54:07,000
Speaker 2: the machine politics that perhaps the parents or grandparents, and

971
00:54:07,040 --> 00:54:11,200
Speaker 2: that Obama was obviously able to leverage that plus sum right.

972
00:54:12,160 --> 00:54:15,280
Speaker 1: In eight and twelve, there was another thesis pre election

973
00:54:15,840 --> 00:54:19,720
Speaker 1: that and young voters might be moved on the abortion issue.

974
00:54:20,800 --> 00:54:23,640
Speaker 1: It turned out not to be true, did it, No,

975
00:54:23,719 --> 00:54:27,239
Speaker 1: it was true in twenty twenty two, Okay, it was

976
00:54:27,320 --> 00:54:29,000
Speaker 1: true in the midterm election.

977
00:54:29,600 --> 00:54:35,239
Speaker 2: And I think that one of the most significant miscalculations

978
00:54:35,280 --> 00:54:42,040
Speaker 2: perhaps right of pundits or advisors or who ranking follow whoever, right,

979
00:54:42,800 --> 00:54:44,920
Speaker 2: was that that was going to be a deciding factor,

980
00:54:44,960 --> 00:54:49,200
Speaker 2: as you say. And it was the first town hall

981
00:54:49,239 --> 00:54:53,240
Speaker 2: meeting I did with my students. We spent a weekend

982
00:54:53,440 --> 00:54:57,799
Speaker 2: in Michigan in the springtime about you know, fifteen or

983
00:54:57,840 --> 00:55:00,640
Speaker 2: sixteen months ago or so, that issue kind of came

984
00:55:00,719 --> 00:55:03,839
Speaker 2: up and the young people in that kind of town

985
00:55:03,920 --> 00:55:07,840
Speaker 2: hall meeting, Chuck, we're telling us that that was almost

986
00:55:07,880 --> 00:55:12,920
Speaker 2: a luxury okay, reproductive health access okay, where it fell

987
00:55:13,280 --> 00:55:20,800
Speaker 2: to kind of a second tier behind the costs of living,

988
00:55:20,960 --> 00:55:25,720
Speaker 2: which translates to whether or not you can keep your home. John,

989
00:55:25,760 --> 00:55:26,440
Speaker 2: this isn't new.

990
00:55:26,560 --> 00:55:30,520
Speaker 1: This isn't new analysis, right, which is we've known this forever,

991
00:55:30,600 --> 00:55:36,120
Speaker 1: which is when the economy sucks, cultural issues take a

992
00:55:36,120 --> 00:55:40,000
Speaker 1: back seat. When the economy is going well, cultural issues

993
00:55:40,080 --> 00:55:43,640
Speaker 1: become front and center. And it is you know, that

994
00:55:43,719 --> 00:55:46,399
Speaker 1: was a true You know, our brains. I always joke

995
00:55:46,480 --> 00:55:48,920
Speaker 1: that a lot of our brains have been rotted by Trump, right,

996
00:55:49,120 --> 00:55:51,520
Speaker 1: we sort of we think every so many things have

997
00:55:51,600 --> 00:55:54,880
Speaker 1: changed because of Trump. There's still some political truisms that

998
00:55:55,040 --> 00:56:01,360
Speaker 1: have been true for decades, and the relationship between cultural

999
00:56:01,400 --> 00:56:06,120
Speaker 1: issues being a voting issue versus economic issues almost entirely

1000
00:56:06,280 --> 00:56:09,279
Speaker 1: are about the perception of the economy, and if it's

1001
00:56:09,560 --> 00:56:13,640
Speaker 1: fairly positive, then the biggest issues will be you know,

1002
00:56:15,160 --> 00:56:16,360
Speaker 1: cultural issues.

1003
00:56:16,400 --> 00:56:20,239
Speaker 2: Yes, or education or other things. One hundred percent. And

1004
00:56:20,960 --> 00:56:23,759
Speaker 2: what young women told me in the final weeks when

1005
00:56:23,800 --> 00:56:26,200
Speaker 2: we would conduct our focus groups and our surveys with

1006
00:56:26,840 --> 00:56:29,279
Speaker 2: specifically kind of younger women who are still kind of

1007
00:56:29,320 --> 00:56:30,960
Speaker 2: on the fence in terms of whether they're going to

1008
00:56:31,000 --> 00:56:34,000
Speaker 2: turn out and for whom they let me know quite

1009
00:56:34,040 --> 00:56:37,920
Speaker 2: clearly that they were intelligent enough to know that even

1010
00:56:38,000 --> 00:56:41,880
Speaker 2: with Kamala Harris victory, it didn't mean that the reproductive

1011
00:56:41,920 --> 00:56:44,759
Speaker 2: health was guaranteed you know, the next day or the

1012
00:56:44,760 --> 00:56:47,360
Speaker 2: next month. Okay, that that had been the issue that

1013
00:56:47,440 --> 00:56:50,200
Speaker 2: was litigated in the courts before and based upon where

1014
00:56:50,200 --> 00:56:52,520
Speaker 2: you live, et cetera. But they were really focused on

1015
00:56:53,680 --> 00:56:57,120
Speaker 2: housing policy, right on the economic policy, on healthcare mental

1016
00:56:57,320 --> 00:56:59,480
Speaker 2: that's what they were looking for. And I think that

1017
00:56:59,480 --> 00:57:01,600
Speaker 2: that was certainly kind of one of the things I

1018
00:57:01,640 --> 00:57:02,960
Speaker 2: was missed in a lot of the kind of the

1019
00:57:03,000 --> 00:57:08,640
Speaker 2: pre election analysis that I found. Well, let's fast forward.

1020
00:57:08,640 --> 00:57:13,440
Speaker 1: We're six months in and I, in fact, I spent

1021
00:57:13,640 --> 00:57:16,080
Speaker 1: a part of my Monday episode just talking about this

1022
00:57:16,160 --> 00:57:18,080
Speaker 1: cbsu GO poll. And I'm not a huge fan of

1023
00:57:18,120 --> 00:57:20,680
Speaker 1: you Go in general. On their methodology. I can get

1024
00:57:20,720 --> 00:57:24,960
Speaker 1: into long term reasons why. But that said, they have

1025
00:57:25,000 --> 00:57:28,120
Speaker 1: a trend line. And to me, even if you don't

1026
00:57:28,120 --> 00:57:31,040
Speaker 1: agree with a poll's methodology, as long as their methodology

1027
00:57:31,080 --> 00:57:32,959
Speaker 1: doesn't change, you can learn a lot through trend lines.

1028
00:57:33,000 --> 00:57:35,600
Speaker 1: And this is why I'm a fan more of you know.

1029
00:57:35,720 --> 00:57:37,720
Speaker 1: If give me your trend line and I can learn

1030
00:57:37,760 --> 00:57:42,040
Speaker 1: a lot. The trend line is unmistakable here. And that

1031
00:57:42,200 --> 00:57:45,240
Speaker 1: is and frankly, it isn't just among gen z where

1032
00:57:45,440 --> 00:57:48,080
Speaker 1: there's disapproval and cost of living. This is across the board.

1033
00:57:48,600 --> 00:57:51,720
Speaker 1: And here's Donald Trump, who on one hand, has had

1034
00:57:51,840 --> 00:57:57,280
Speaker 1: the most successful start, particularly of a second term president,

1035
00:57:57,560 --> 00:58:01,320
Speaker 1: that anybody's had in Washington, argue going back to FDR,

1036
00:58:01,960 --> 00:58:05,320
Speaker 1: and yet it is not translated at all. If anything,

1037
00:58:05,440 --> 00:58:09,960
Speaker 1: his numbers have gotten worse because the number one issue

1038
00:58:10,200 --> 00:58:13,280
Speaker 1: that they're disappointed in is cost of living. It's still

1039
00:58:13,480 --> 00:58:17,160
Speaker 1: and here's the thing, is housing costs up or down?

1040
00:58:17,680 --> 00:58:20,640
Speaker 1: We know what it is. Is the price of groceries

1041
00:58:20,680 --> 00:58:22,680
Speaker 1: going up or down? We know the answer is the

1042
00:58:22,680 --> 00:58:26,560
Speaker 1: price of goods and goods in Walmart essentially upper down.

1043
00:58:27,560 --> 00:58:31,440
Speaker 2: There you go, there it is and there is less.

1044
00:58:31,480 --> 00:58:35,200
Speaker 2: So therefore that creates less stability in our families, in

1045
00:58:35,200 --> 00:58:39,240
Speaker 2: our lives because of economic stress. And clearly there is

1046
00:58:39,320 --> 00:58:42,600
Speaker 2: less stability across America because of the increasing levels of

1047
00:58:42,640 --> 00:58:45,800
Speaker 2: political division, because of many of the other acts as

1048
00:58:45,800 --> 00:58:48,600
Speaker 2: well as kind of around the world. Right, and who's

1049
00:58:48,600 --> 00:58:50,560
Speaker 2: got a less pad? And who's got a less pad?

1050
00:58:50,640 --> 00:58:52,160
Speaker 3: Right now? Right?

1051
00:58:52,560 --> 00:58:54,720
Speaker 1: A boomer has a lot of pad. Gen X has

1052
00:58:54,720 --> 00:58:58,200
Speaker 1: some pad. Even older millennials have some pad. Not gen

1053
00:58:58,320 --> 00:58:59,600
Speaker 1: z No.

1054
00:58:59,800 --> 00:59:02,360
Speaker 2: And when I say, you know, when I'll when I'll

1055
00:59:02,400 --> 00:59:04,840
Speaker 2: give the counter to you know, the stock market is

1056
00:59:04,840 --> 00:59:06,920
Speaker 2: still up x percent, you know, eight ten to twelve business.

1057
00:59:06,920 --> 00:59:08,520
Speaker 2: I said, that's good for people who have money in

1058
00:59:08,560 --> 00:59:12,640
Speaker 2: the stock market, right, you know. Or they'll say when

1059
00:59:12,680 --> 00:59:15,760
Speaker 2: I talk to the younger Trump supporters, and I'll make

1060
00:59:15,760 --> 00:59:18,360
Speaker 2: the opposite case earlier in the year, they'll say, we

1061
00:59:18,360 --> 00:59:20,120
Speaker 2: don't care about the stock market because hey, we don't

1062
00:59:20,120 --> 00:59:21,200
Speaker 2: have a lot and b we're going to be in

1063
00:59:21,240 --> 00:59:23,920
Speaker 2: it for forty years. Okay, they're looking for those kind

1064
00:59:23,960 --> 00:59:29,000
Speaker 2: of direct, kind of tangible benefits in terms of where

1065
00:59:29,040 --> 00:59:34,800
Speaker 2: are you on what was promised to us? And I

1066
00:59:34,800 --> 00:59:36,440
Speaker 2: think that's where it is, you know, the you go

1067
00:59:36,480 --> 00:59:40,280
Speaker 2: of as I said, it's the youth sample, you know,

1068
00:59:42,400 --> 00:59:45,480
Speaker 2: regardless of the methodology, has been consistent, and it's consistent.

1069
00:59:46,400 --> 00:59:49,439
Speaker 2: It is actually twenty eight percent among younger people, among

1070
00:59:49,560 --> 00:59:52,160
Speaker 2: younger folks under thirty, which is as low as I've

1071
00:59:52,160 --> 00:59:55,680
Speaker 2: seen it with with any group. And we're going back

1072
00:59:55,720 --> 00:59:59,520
Speaker 2: to see, you know that that divide, which is that

1073
00:59:59,680 --> 01:00:04,680
Speaker 2: like that millennial gen Z versus Gen X and boomer divide.

1074
01:00:04,760 --> 01:00:07,439
Speaker 2: I think most of the country he's owned a water,

1075
01:00:07,560 --> 01:00:10,120
Speaker 2: he's doing probably you know, eight ten points better among

1076
01:00:10,200 --> 01:00:13,640
Speaker 2: the older courts than the younger courts. That's a simple

1077
01:00:13,680 --> 01:00:17,360
Speaker 2: phenomenon we saw, I think in two thousand, in twenty seventeen,

1078
01:00:17,400 --> 01:00:20,360
Speaker 2: twenty eighteen, right the thumb, the blowback.

1079
01:00:20,480 --> 01:00:23,040
Speaker 1: Yeah, it's interesting that, you know, in trying to put

1080
01:00:23,040 --> 01:00:25,240
Speaker 1: every you know, I'm never sure where to put gen X.

1081
01:00:25,640 --> 01:00:27,760
Speaker 1: I feel like half a gen X behaves like boomers,

1082
01:00:28,040 --> 01:00:30,160
Speaker 1: and half a Gen X behaves like older millennials.

1083
01:00:30,240 --> 01:00:32,439
Speaker 2: Right, Like it's such a small generation that they.

1084
01:00:32,320 --> 01:00:35,240
Speaker 1: Can almost get consumed by the two big ones on

1085
01:00:35,280 --> 01:00:37,760
Speaker 1: either side of them, particularly when it comes from marketing.

1086
01:00:37,920 --> 01:00:41,160
Speaker 1: There is no marketing to gen X, right, You're either

1087
01:00:41,240 --> 01:00:44,600
Speaker 1: marketing to boomers with money or you're marketing to millennials

1088
01:00:44,600 --> 01:00:47,760
Speaker 1: with money, and the assumption is that they scoop up

1089
01:00:47,800 --> 01:00:48,320
Speaker 1: gen X.

1090
01:00:49,400 --> 01:00:55,440
Speaker 2: But I'm curious about the millennial gen Z alliance and

1091
01:00:55,480 --> 01:00:58,400
Speaker 2: then divide where we know where they align? Where do

1092
01:00:58,440 --> 01:01:05,200
Speaker 2: they divide? I think they so again for the listeners,

1093
01:01:05,560 --> 01:01:08,320
Speaker 2: you know, in terms of the elector today, gen Z

1094
01:01:09,160 --> 01:01:12,360
Speaker 2: is folks basically eighteen to twenty nine, eighteen twenty eighteen,

1095
01:01:12,400 --> 01:01:15,160
Speaker 2: twenty nine, okay, so millennials now you know, twenty one

1096
01:01:15,160 --> 01:01:19,160
Speaker 2: and thirty up to the early forties. To me, the

1097
01:01:19,920 --> 01:01:23,920
Speaker 2: single easiest way to think about is someone a millennial

1098
01:01:24,280 --> 01:01:26,760
Speaker 2: or someone a gen Z is do you remember nine

1099
01:01:26,760 --> 01:01:27,160
Speaker 2: to eleven?

1100
01:01:27,480 --> 01:01:27,720
Speaker 3: Okay?

1101
01:01:27,760 --> 01:01:29,640
Speaker 2: Because if you have got that member of nine to eleven,

1102
01:01:30,320 --> 01:01:34,680
Speaker 2: at least for a couple of moments, you recognized that,

1103
01:01:34,800 --> 01:01:36,600
Speaker 2: regardless of whether we lived in a red or a

1104
01:01:36,640 --> 01:01:40,040
Speaker 2: blue county, that we all kind of connected with each

1105
01:01:40,080 --> 01:01:46,080
Speaker 2: other as Americans, and we displayed our patriotism and support

1106
01:01:46,680 --> 01:01:49,960
Speaker 2: of our fellow citizens, and we seem to be connected.

1107
01:01:51,080 --> 01:01:55,280
Speaker 2: Gen Z has never had that moment. Okay, this is

1108
01:01:55,280 --> 01:01:55,960
Speaker 2: a generation.

1109
01:01:56,320 --> 01:01:58,480
Speaker 1: Well, they've had the moment, but it's happened in unity

1110
01:01:58,520 --> 01:02:03,040
Speaker 1: moment national moments, right the election Trump was a moment,

1111
01:02:03,360 --> 01:02:06,520
Speaker 1: the COVID was a moment. They January six was a moment.

1112
01:02:06,720 --> 01:02:08,840
Speaker 1: But these are not unifying moments, right, These are in

1113
01:02:08,880 --> 01:02:12,480
Speaker 1: many ways divisive moments, and those the moments that shape

1114
01:02:12,520 --> 01:02:13,200
Speaker 1: their values.

1115
01:02:13,400 --> 01:02:16,720
Speaker 2: Okay, where time in time and time again they have

1116
01:02:16,840 --> 01:02:21,440
Speaker 2: felt betrayed by the institutions designed to protect them and

1117
01:02:21,480 --> 01:02:24,160
Speaker 2: give them a basis to live there to live their

1118
01:02:24,200 --> 01:02:28,200
Speaker 2: best life. So I think there is a lot politically

1119
01:02:28,680 --> 01:02:32,240
Speaker 2: that I think they could have aligned with. But really understanding, Chuck,

1120
01:02:32,320 --> 01:02:36,840
Speaker 2: the impact that COVID had on this generation of gen Z's,

1121
01:02:36,840 --> 01:02:40,640
Speaker 2: we're still trying to kind of assess that, you know,

1122
01:02:40,720 --> 01:02:44,600
Speaker 2: a series of headlines from the Harvard Youth Pole, you know,

1123
01:02:44,720 --> 01:02:48,160
Speaker 2: talked about, you know, five years later, the degree to

1124
01:02:48,320 --> 01:02:53,360
Speaker 2: which young people are still searching for community, you know,

1125
01:02:53,600 --> 01:02:57,720
Speaker 2: and those who are searching most deeply. We can see

1126
01:02:57,760 --> 01:03:00,360
Speaker 2: the impact they have on their mental health today, and

1127
01:03:00,400 --> 01:03:03,440
Speaker 2: we could also see the degree to which they're open

1128
01:03:03,840 --> 01:03:07,320
Speaker 2: to strong men authoritarian messages as well. So I think

1129
01:03:07,400 --> 01:03:11,240
Speaker 2: really unpacking that's almost a third of their lifetime, you know,

1130
01:03:11,320 --> 01:03:14,400
Speaker 2: in terms of what their memory is likely important that talk.

1131
01:03:14,560 --> 01:03:16,920
Speaker 1: And look, I'm all about coming of age moments and

1132
01:03:16,960 --> 01:03:20,800
Speaker 1: I do think they define a generation right in different ways.

1133
01:03:20,960 --> 01:03:23,240
Speaker 1: And so there's no doubt that COVID is going to

1134
01:03:23,240 --> 01:03:27,560
Speaker 1: be this, you know, COVID is going to be a

1135
01:03:27,600 --> 01:03:31,320
Speaker 1: defining moment for gen Z. And I'm curious. Have you

1136
01:03:31,400 --> 01:03:36,440
Speaker 1: started to track the divide among gen Z on those

1137
01:03:36,560 --> 01:03:38,520
Speaker 1: that lived in a state where they had to do

1138
01:03:38,600 --> 01:03:41,080
Speaker 1: remote school versus those that lived in the state where

1139
01:03:41,080 --> 01:03:44,920
Speaker 1: they got to go to school. And is it enough?

1140
01:03:45,720 --> 01:03:48,600
Speaker 1: I guess is it doable? I know in one bill

1141
01:03:48,640 --> 01:03:50,240
Speaker 1: it might not be, But is this something you might

1142
01:03:50,240 --> 01:03:52,880
Speaker 1: be able to accumulate over say a year's worth of

1143
01:03:53,120 --> 01:03:56,080
Speaker 1: because I really want to see that distinction.

1144
01:03:56,280 --> 01:03:59,200
Speaker 2: I really want to understand that distinction better. Yeah, that's

1145
01:03:59,240 --> 01:04:02,080
Speaker 2: a good question. We can dig deeper into that. There's

1146
01:04:02,080 --> 01:04:05,120
Speaker 2: obviously other variables in terms of like you know, republic,

1147
01:04:05,200 --> 01:04:07,360
Speaker 2: like lots of the states are southern states.

1148
01:04:07,640 --> 01:04:09,600
Speaker 1: You know, well, because we're seeing right, Well, the reason

1149
01:04:09,640 --> 01:04:11,760
Speaker 1: I asked this, and I say this, like two kids

1150
01:04:11,760 --> 01:04:15,520
Speaker 1: in southern schools, Okay, and went to go and they're

1151
01:04:15,560 --> 01:04:18,840
Speaker 1: not alone, right, all of my son's friends. And this

1152
01:04:18,920 --> 01:04:21,680
Speaker 1: is a very unusual. You know, he went to you know,

1153
01:04:22,000 --> 01:04:25,040
Speaker 1: he went to a private school. And it's the I

1154
01:04:25,080 --> 01:04:27,080
Speaker 1: can't tell you how many this is the first time

1155
01:04:27,120 --> 01:04:29,640
Speaker 1: this private school sent a kid to SMU, or sent

1156
01:04:29,760 --> 01:04:32,680
Speaker 1: multiple kids to Tulane, or sent a kid to Georgia

1157
01:04:32,760 --> 01:04:35,640
Speaker 1: Tech or Clemson or george This is d C.

1158
01:04:35,920 --> 01:04:36,120
Speaker 2: Man.

1159
01:04:36,240 --> 01:04:39,560
Speaker 1: They're used to going north on nine ninety five, not

1160
01:04:39,840 --> 01:04:43,680
Speaker 1: south on nine ninety five. And all this class was

1161
01:04:43,680 --> 01:04:46,600
Speaker 1: more interested in going south or west than they were

1162
01:04:46,680 --> 01:04:51,600
Speaker 1: going north or midwest. And and it look it's anecdotal,

1163
01:04:51,760 --> 01:04:55,720
Speaker 1: but I'm curious. It's it certainly feels you know, we

1164
01:04:55,800 --> 01:04:58,800
Speaker 1: all know the Southern states were quote unquote open, right,

1165
01:04:58,840 --> 01:05:00,880
Speaker 1: but northern states weren't, right.

1166
01:05:01,280 --> 01:05:04,520
Speaker 2: And I and also I don't know, perhaps like the

1167
01:05:04,800 --> 01:05:06,720
Speaker 2: I think that's I think that's important thing to unpack

1168
01:05:06,720 --> 01:05:11,000
Speaker 2: a understand. And also there is perhaps a high quality

1169
01:05:11,040 --> 01:05:13,720
Speaker 2: of life because you're open, but also the cost of living, right,

1170
01:05:13,760 --> 01:05:16,800
Speaker 2: and the cost of some of those universities in the South,

1171
01:05:16,840 --> 01:05:21,720
Speaker 2: those bigger universities are going to perhaps be more for

1172
01:05:21,720 --> 01:05:24,440
Speaker 2: for parents as well as students. You wouldn't believe what

1173
01:05:24,520 --> 01:05:26,480
Speaker 2: they charge at Auburn for out of state.

1174
01:05:26,680 --> 01:05:29,720
Speaker 1: Sorry, I'm sitting here thinking the same thing, and you're like,

1175
01:05:30,000 --> 01:05:32,480
Speaker 1: wait what I thought this was going to be a discount.

1176
01:05:32,480 --> 01:05:34,080
Speaker 1: I don't have anybody at Auburned, but Auburn was on

1177
01:05:34,080 --> 01:05:35,400
Speaker 1: one of the lists of one of my kids, and

1178
01:05:35,440 --> 01:05:37,760
Speaker 1: I remember thinking like, oh, this is going to be

1179
01:05:37,760 --> 01:05:42,400
Speaker 1: a Nope. They've all priced nationally fair enough, fair enough,

1180
01:05:42,440 --> 01:05:42,919
Speaker 1: fair enough.

1181
01:05:43,000 --> 01:05:44,560
Speaker 2: Yeah, yeah, but you're not wrong.

1182
01:05:44,600 --> 01:05:47,280
Speaker 1: But the cost of living part, okay, and how to

1183
01:05:47,320 --> 01:05:50,280
Speaker 1: live around in those neighbors. I mean, think about Cambridge

1184
01:05:50,480 --> 01:05:52,320
Speaker 1: versus Auburn, Alabama.

1185
01:05:52,720 --> 01:05:53,200
Speaker 3: Yeah.

1186
01:05:53,240 --> 01:05:56,000
Speaker 2: Well, and it's not just that aspect of it is

1187
01:05:56,080 --> 01:06:00,040
Speaker 2: I I think that one of the one of the

1188
01:06:00,080 --> 01:06:03,840
Speaker 2: differences between kind of the gen Z versus a millennial

1189
01:06:03,920 --> 01:06:08,520
Speaker 2: cohort is gen Z may be the first who really

1190
01:06:08,560 --> 01:06:13,280
Speaker 2: in their bones realizes that the that they won't do

1191
01:06:13,360 --> 01:06:17,560
Speaker 2: as well as your parents, okay, that the idea of

1192
01:06:18,720 --> 01:06:23,440
Speaker 2: a house okay, maybe out of reach. Okay. So Therefore,

1193
01:06:24,240 --> 01:06:26,880
Speaker 2: what I think gen Z, and perhaps this is kind

1194
01:06:26,880 --> 01:06:31,080
Speaker 2: of connected to the interesting movement South, is that it

1195
01:06:31,120 --> 01:06:36,880
Speaker 2: allows you to perhaps have a fuller, richer experience doing

1196
01:06:36,880 --> 01:06:39,520
Speaker 2: the things that they want to do kind of around

1197
01:06:39,840 --> 01:06:43,520
Speaker 2: the calendar year. Okay, they put more emphasis on spending

1198
01:06:43,560 --> 01:06:47,080
Speaker 2: time outside. They put more emphasis on some of that

1199
01:06:47,200 --> 01:06:51,520
Speaker 2: community building, which often is more accessible again if you're

1200
01:06:51,560 --> 01:06:53,720
Speaker 2: in a warmer if it's in a warmer climate, for

1201
01:06:53,760 --> 01:06:56,400
Speaker 2: their own mental health time and time Again, when I'm

1202
01:06:56,440 --> 01:06:58,960
Speaker 2: doing focus scripts, whether it's in Florida or whether it's

1203
01:06:58,960 --> 01:07:01,320
Speaker 2: in Colorado, when I ask people what's a good day,

1204
01:07:01,480 --> 01:07:03,760
Speaker 2: younger people, they're telling me that experience to kind of

1205
01:07:03,760 --> 01:07:06,760
Speaker 2: go outside, right, it's a way to kind of mitigate

1206
01:07:06,760 --> 01:07:08,400
Speaker 2: it against some of the stress. So there could be

1207
01:07:08,400 --> 01:07:10,080
Speaker 2: something around that as well.

1208
01:07:10,600 --> 01:07:16,720
Speaker 1: You know, is it coincidental that Taylor Swift has some

1209
01:07:16,760 --> 01:07:20,000
Speaker 1: of the biggest draws and gen Z traveled to go

1210
01:07:20,080 --> 01:07:24,080
Speaker 1: see her concerts. How much of COVID pent up covidness

1211
01:07:24,120 --> 01:07:26,360
Speaker 1: may have actually helped that, because I've had some people

1212
01:07:26,400 --> 01:07:29,800
Speaker 1: point out that, hey, this is another distinction here. You know,

1213
01:07:29,840 --> 01:07:32,720
Speaker 1: gen Z wants to get out from their phone, okay,

1214
01:07:32,880 --> 01:07:36,480
Speaker 1: wants to go be with each other, and hey, the

1215
01:07:36,520 --> 01:07:41,840
Speaker 1: Taylor Swift of success. Yes, she herself is popular, so

1216
01:07:41,880 --> 01:07:44,720
Speaker 1: you can't take that part of it. But the fact

1217
01:07:44,720 --> 01:07:47,240
Speaker 1: that there was tailgating, the fact that there were so

1218
01:07:47,360 --> 01:07:50,240
Speaker 1: many you had local hotels. My daughter was one of

1219
01:07:50,280 --> 01:07:53,720
Speaker 1: them who traveled to go see a Taylor Swift and

1220
01:07:53,720 --> 01:07:57,880
Speaker 1: that it had real world effects on local economies which

1221
01:07:57,920 --> 01:08:01,280
Speaker 1: a concert tour never had had before. Okay, usually you

1222
01:08:01,280 --> 01:08:04,040
Speaker 1: waited till it kin to your area, right right, And

1223
01:08:04,080 --> 01:08:08,600
Speaker 1: the fact that you had that, you know, and I

1224
01:08:08,600 --> 01:08:11,640
Speaker 1: guess you know, we can't now. I wish we were

1225
01:08:11,680 --> 01:08:14,520
Speaker 1: thinking about it then. But I wonder how much COVID

1226
01:08:14,520 --> 01:08:16,599
Speaker 1: had an impact on that.

1227
01:08:16,600 --> 01:08:20,439
Speaker 2: That is I think a brilliant insight. And it's an

1228
01:08:20,439 --> 01:08:24,479
Speaker 2: example of people are just searching for that, searching, searching,

1229
01:08:24,479 --> 01:08:26,240
Speaker 2: searching so hard for that community.

1230
01:08:26,479 --> 01:08:27,480
Speaker 3: That's a community.

1231
01:08:27,600 --> 01:08:31,920
Speaker 2: That is a powerful community, right yes, And it's just

1232
01:08:32,000 --> 01:08:35,240
Speaker 2: not that experience too of being in the same place.

1233
01:08:35,280 --> 01:08:38,559
Speaker 2: But you know, of course, every time she drops an album, right,

1234
01:08:38,640 --> 01:08:41,320
Speaker 2: like the first eleven songs are usually kind of in

1235
01:08:41,360 --> 01:08:43,800
Speaker 2: the top twenty right of that, right, So it's also

1236
01:08:43,800 --> 01:08:46,320
Speaker 2: an online community. It's one of those few places, right

1237
01:08:46,880 --> 01:08:47,320
Speaker 2: you have that.

1238
01:08:47,400 --> 01:08:49,559
Speaker 1: Figured out how to be both right live and in

1239
01:08:49,600 --> 01:08:52,479
Speaker 1: person using it sort of like you know whatever, I

1240
01:08:52,520 --> 01:08:54,840
Speaker 1: think what a lot of creators are striving for. Hey

1241
01:08:54,880 --> 01:08:57,080
Speaker 1: can I do what Taylor Swift did? Take an online

1242
01:08:57,120 --> 01:08:59,400
Speaker 1: audience and make them real people, right and.

1243
01:09:00,439 --> 01:09:03,839
Speaker 2: Right because you know, my girls now in their twenties,

1244
01:09:04,240 --> 01:09:07,519
Speaker 2: we took them to Foxborough Stadium, right, you know, probably

1245
01:09:07,560 --> 01:09:11,640
Speaker 2: fifteen years ago, right, And I don't know, you know,

1246
01:09:11,840 --> 01:09:14,720
Speaker 2: but I think they feel heard. Okay. I think that

1247
01:09:14,920 --> 01:09:18,000
Speaker 2: even you know, whether you're you're fifteen or thirty five,

1248
01:09:18,560 --> 01:09:23,160
Speaker 2: that you can feel connected to Taylor Swift right in

1249
01:09:23,200 --> 01:09:28,719
Speaker 2: that community. And that is when we have a transcendent artist.

1250
01:09:29,080 --> 01:09:32,080
Speaker 2: And that is when we see transcendent elected officials. Right

1251
01:09:32,240 --> 01:09:36,960
Speaker 2: Obama obviously Trump to some degree of course, right within

1252
01:09:37,000 --> 01:09:39,439
Speaker 2: his communities, and with the election of New York City,

1253
01:09:39,439 --> 01:09:41,840
Speaker 2: it's the same thing. It's like when people heard they

1254
01:09:41,880 --> 01:09:45,280
Speaker 2: come together and it's and it's and it's joyous, joyous,

1255
01:09:45,320 --> 01:09:47,160
Speaker 2: And I don't think it's not hard. I don't think

1256
01:09:47,200 --> 01:09:57,479
Speaker 2: it's not hard. Well, let's transition to.

1257
01:09:59,120 --> 01:10:01,840
Speaker 1: Something that you were you've been involved when, which is

1258
01:10:01,880 --> 01:10:05,719
Speaker 1: this idea of you know, how can democrats quote unquote

1259
01:10:05,720 --> 01:10:08,120
Speaker 1: are searching for their own Joe Rogan, which, of course

1260
01:10:08,160 --> 01:10:10,720
Speaker 1: the joke is, well, they had Joe Rogan until they

1261
01:10:10,760 --> 01:10:15,080
Speaker 1: didn't have Joe Rogan. And here we are talking about

1262
01:10:15,080 --> 01:10:20,280
Speaker 1: all these organic ways these things work versus manufacturing them.

1263
01:10:20,600 --> 01:10:24,640
Speaker 1: Can you manufacture this or does it have to be organic?

1264
01:10:24,800 --> 01:10:28,240
Speaker 1: Is it more of how you conduct yourself versus who

1265
01:10:28,280 --> 01:10:29,560
Speaker 1: you find as an influencer?

1266
01:10:30,360 --> 01:10:35,960
Speaker 2: Yeah, I mean so. So you can't manufacture it. You

1267
01:10:36,040 --> 01:10:39,519
Speaker 2: can manufacture it, but like with organic, you can feed it, right,

1268
01:10:39,760 --> 01:10:43,040
Speaker 2: you can nurture it, you know, So it begins so cursed.

1269
01:10:43,200 --> 01:10:45,200
Speaker 2: So by cursing, I mean, I'm sorry, I sort of

1270
01:10:45,240 --> 01:10:47,160
Speaker 2: laughed at the idea. Jeez, if you just say the

1271
01:10:47,240 --> 01:10:49,479
Speaker 2: F word more, All right, John, we're just gonna say

1272
01:10:49,520 --> 01:10:52,320
Speaker 2: F bomb this and F bomb that, and suddenly we're

1273
01:10:52,439 --> 01:10:55,120
Speaker 2: appealing to gen Z. Come on like that felt like

1274
01:10:55,280 --> 01:10:58,160
Speaker 2: that feels silly. No, So I mean, well, I think

1275
01:10:58,200 --> 01:11:00,320
Speaker 2: what kind of what Here's what Trump did And listen,

1276
01:11:00,640 --> 01:11:03,360
Speaker 2: I spent like dozens and dozens and dozens of hours,

1277
01:11:03,400 --> 01:11:07,000
Speaker 2: okay with gen Z specifically gen Z men. This lot

1278
01:11:07,000 --> 01:11:09,360
Speaker 2: of focus groups. Right, you did a lot of focus

1279
01:11:09,360 --> 01:11:11,120
Speaker 2: We did. We did, we did. We did a ton

1280
01:11:11,120 --> 01:11:13,559
Speaker 2: of focus groups. And I didn't break them up based

1281
01:11:13,600 --> 01:11:16,400
Speaker 2: upon ideology or party idea. It's based upon these lived

1282
01:11:16,400 --> 01:11:18,800
Speaker 2: and shared experiences, Okay. And what I heard time and

1283
01:11:18,840 --> 01:11:22,439
Speaker 2: time again was that during that critical time, we talked

1284
01:11:22,479 --> 01:11:25,400
Speaker 2: about COVID during that critical time where we're younger women.

1285
01:11:25,520 --> 01:11:29,200
Speaker 2: Again incredibly challenging for everyone. But young women went into

1286
01:11:29,240 --> 01:11:33,880
Speaker 2: COVID with slightly stronger communities, whether it's a Taylor Swift

1287
01:11:33,880 --> 01:11:36,799
Speaker 2: community or the relationship with their mom or their teacher.

1288
01:11:37,120 --> 01:11:40,599
Speaker 2: They had slightly more social kalpa moving in than younger

1289
01:11:40,640 --> 01:11:43,960
Speaker 2: men did who were teenagers. Okay, number one, younger men

1290
01:11:44,040 --> 01:11:48,120
Speaker 2: spent more time online. It came out more isolated. That's

1291
01:11:48,160 --> 01:11:50,880
Speaker 2: just a fact. And when they.

1292
01:11:50,760 --> 01:11:52,800
Speaker 1: Spent at their coming of age is it the coming

1293
01:11:52,840 --> 01:11:55,120
Speaker 1: of age experience? The fact that we're at a time

1294
01:11:55,560 --> 01:11:59,200
Speaker 1: where men were being pushed aside for women and it's

1295
01:11:59,200 --> 01:12:01,160
Speaker 1: a big part of it in the workplace, And what

1296
01:12:01,760 --> 01:12:04,439
Speaker 1: were they seeing in calculating? I mean, I know the

1297
01:12:04,439 --> 01:12:07,320
Speaker 1: impact that had on my son in what his goals

1298
01:12:07,360 --> 01:12:10,840
Speaker 1: and ambitions are and what industry he's decided he has

1299
01:12:10,840 --> 01:12:13,880
Speaker 1: a better shot at advancing end versus industries that he

1300
01:12:13,960 --> 01:12:17,760
Speaker 1: thinks are not going to be interested in a white male.

1301
01:12:18,360 --> 01:12:21,280
Speaker 2: Well, that's surely already happening there, like in the post

1302
01:12:21,360 --> 01:12:24,320
Speaker 2: me too environment, right, And then again, the lack of

1303
01:12:25,080 --> 01:12:27,439
Speaker 2: younger men or slightly takes a little bit longer for

1304
01:12:27,640 --> 01:12:31,400
Speaker 2: us to mature, right than are content. I'm still trying, right,

1305
01:12:31,600 --> 01:12:34,639
Speaker 2: we are, And so that was just kind of part

1306
01:12:34,640 --> 01:12:37,680
Speaker 2: of it. And then a lot of them had important questions.

1307
01:12:37,840 --> 01:12:40,519
Speaker 2: And when you're isolated, and when you're not talking to

1308
01:12:40,920 --> 01:12:43,800
Speaker 2: teachers or mentors or coaches or even each other, you're

1309
01:12:43,840 --> 01:12:47,080
Speaker 2: spending time online and that is where you are introduced

1310
01:12:47,320 --> 01:12:51,439
Speaker 2: to you know, the influencers, okay, and what Donald Trump

1311
01:12:51,760 --> 01:12:54,799
Speaker 2: I think. And again kind of the aligned Margaret forces

1312
01:12:54,840 --> 01:12:58,200
Speaker 2: is to begin to develop relationships, right with influencers outside

1313
01:12:58,240 --> 01:13:02,800
Speaker 2: of politics, right, whether it's fitness folks, do it yourself folks, right,

1314
01:13:03,040 --> 01:13:07,439
Speaker 2: whether it's UFC was a huge part college wrestling, you

1315
01:13:07,439 --> 01:13:11,200
Speaker 2: could go on right, music, comedy, YouTube, et cetera. Right,

1316
01:13:11,479 --> 01:13:16,760
Speaker 2: So again just beginning to show up right where where

1317
01:13:16,840 --> 01:13:21,880
Speaker 2: younger men were, we're kind of spending time. So that

1318
01:13:22,240 --> 01:13:26,120
Speaker 2: is I think partially organic, right, but also part part

1319
01:13:26,120 --> 01:13:28,080
Speaker 2: of our strategy. But it's a definite kind of strategy. Right,

1320
01:13:28,160 --> 01:13:31,360
Speaker 2: You're not dropping a few million dollars on thirty second ads, right,

1321
01:13:31,439 --> 01:13:35,040
Speaker 2: You're actually investing in time, sharing information, et cetera. So

1322
01:13:35,040 --> 01:13:39,040
Speaker 2: so Democrats could certainly do I think of a better

1323
01:13:39,160 --> 01:13:41,960
Speaker 2: job with that. I think that they are. I think

1324
01:13:42,000 --> 01:13:45,000
Speaker 2: we see even the last several months, you see you know,

1325
01:13:45,439 --> 01:13:47,400
Speaker 2: you know, not to leave anybody out, but you see

1326
01:13:47,439 --> 01:13:51,320
Speaker 2: Pete Buotagid right within you Schultz, you see Gretchen Whitmer

1327
01:13:51,439 --> 01:13:53,800
Speaker 2: talking about younger men are scare of the state EC,

1328
01:13:54,439 --> 01:13:58,120
Speaker 2: Governor Moore, so many others kind of engaging in these

1329
01:13:58,200 --> 01:14:01,479
Speaker 2: kinds of Corey Booker on gaming platforms, et cetera. So

1330
01:14:01,479 --> 01:14:04,720
Speaker 2: that's kind of part one, okay, part one showing up

1331
01:14:05,160 --> 01:14:08,120
Speaker 2: kind of where they are when you're comfortable. And then

1332
01:14:08,160 --> 01:14:14,320
Speaker 2: the second part, I think is understanding that young men

1333
01:14:15,040 --> 01:14:20,120
Speaker 2: by and large have grown up expected to be and

1334
01:14:20,200 --> 01:14:24,200
Speaker 2: wanting to be the provider. Okay, you can debate it,

1335
01:14:24,240 --> 01:14:26,719
Speaker 2: but it's just what younger men are telling us, okay.

1336
01:14:26,720 --> 01:14:30,000
Speaker 2: And it's happened for generations, if not for centuries, And

1337
01:14:30,160 --> 01:14:33,560
Speaker 2: it's really challenging to feel good about yourself as a

1338
01:14:33,640 --> 01:14:37,400
Speaker 2: provider for others. Maybe it's your parents, if you're a

1339
01:14:37,439 --> 01:14:40,960
Speaker 2: Hispanic Latino in Nevada, maybe it's a partner or spouse,

1340
01:14:41,000 --> 01:14:43,439
Speaker 2: maybe it's your community. Okay, but when you can't provide

1341
01:14:43,479 --> 01:14:47,439
Speaker 2: for yourself, okay, when you can't hit that point in

1342
01:14:47,479 --> 01:14:50,040
Speaker 2: your life where you feel like you know, you should

1343
01:14:50,040 --> 01:14:53,160
Speaker 2: be able to afford a home that cuts that hurts,

1344
01:14:53,160 --> 01:14:56,559
Speaker 2: It cuts at your identity, and it makes you feel

1345
01:14:56,640 --> 01:15:00,240
Speaker 2: vulnerable and I think more open to strong men. It

1346
01:15:00,360 --> 01:15:03,320
Speaker 2: is what Trump is delivering. But you're also explaining.

1347
01:15:02,840 --> 01:15:06,760
Speaker 1: To me why crypto's so popular among gen Z, right, yeah,

1348
01:15:06,920 --> 01:15:09,040
Speaker 1: And because they're looking they're like, hey, I need I

1349
01:15:09,080 --> 01:15:09,400
Speaker 1: need to.

1350
01:15:09,320 --> 01:15:12,080
Speaker 3: Get mine in order to in order to to to.

1351
01:15:12,360 --> 01:15:15,400
Speaker 2: Start out in line now because the other institutions have

1352
01:15:15,560 --> 01:15:19,000
Speaker 2: failed them right right, And and that's exactly why you know, you.

1353
01:15:19,040 --> 01:15:23,759
Speaker 1: Brought up the provider, which triggered you know, It's funny

1354
01:15:23,920 --> 01:15:25,640
Speaker 1: like when I when I wanted to book you, like

1355
01:15:25,720 --> 01:15:27,519
Speaker 1: I was like, I got a book, John, You know

1356
01:15:27,800 --> 01:15:30,000
Speaker 1: is when I read your substack where you you outline

1357
01:15:30,040 --> 01:15:34,160
Speaker 1: the ten archetypes of gen Z of gen Z men,

1358
01:15:34,400 --> 01:15:39,720
Speaker 1: actually the provider you just talked about, the skeptic, the stoyac,

1359
01:15:39,920 --> 01:15:43,600
Speaker 1: the worker, the anchor, and then in emerging voices, the protector,

1360
01:15:43,840 --> 01:15:48,840
Speaker 1: the scroller, the silenced, the builder, the outsider. Anyway, I

1361
01:15:48,880 --> 01:15:50,680
Speaker 1: just I love this because it was sort of what

1362
01:15:50,720 --> 01:15:54,000
Speaker 1: you were thinking about it frankly politically as well as culturally.

1363
01:15:54,120 --> 01:15:56,320
Speaker 1: And you can see I think the second part is

1364
01:15:56,360 --> 01:15:58,920
Speaker 1: more of a of how to create political messaging to

1365
01:15:58,960 --> 01:16:00,760
Speaker 1: talk to those folks. In the first part is sort

1366
01:16:00,760 --> 01:16:05,080
Speaker 1: of understanding gen Z culturally. All Right, I ran down

1367
01:16:05,120 --> 01:16:09,760
Speaker 1: the list, tell me where my listeners should focus, whether

1368
01:16:09,760 --> 01:16:11,799
Speaker 1: the two or three of those archetypes that you think

1369
01:16:12,200 --> 01:16:16,479
Speaker 1: truly will help you understand this group of men better.

1370
01:16:17,000 --> 01:16:20,880
Speaker 2: So the reason I did those archetypes Chuck and and

1371
01:16:21,120 --> 01:16:25,280
Speaker 2: and more similar research coming out very soon on on

1372
01:16:25,439 --> 01:16:28,480
Speaker 2: the subtect is because listen, this project.

1373
01:16:28,200 --> 01:16:30,719
Speaker 1: Got subscribed now JDV on gen Z, Right, yeah.

1374
01:16:30,760 --> 01:16:34,040
Speaker 2: There you go. This project got widely mocked, okay by

1375
01:16:34,160 --> 01:16:37,639
Speaker 2: many Democrats who said, I'll save you the time, I'll

1376
01:16:37,680 --> 01:16:40,320
Speaker 2: save you the money, give me a six pack of beer,

1377
01:16:40,479 --> 01:16:44,440
Speaker 2: or walk me into a sports bar. Okay. And oftentimes

1378
01:16:44,479 --> 01:16:47,719
Speaker 2: I find that people mock what they don't understand. Okay.

1379
01:16:47,960 --> 01:16:50,360
Speaker 2: And yes, we saw as we talked about the elt

1380
01:16:50,439 --> 01:16:54,640
Speaker 2: set a significant shift away from Democrats to Republicans. But

1381
01:16:55,200 --> 01:16:57,559
Speaker 2: it's not because everyone is coming at this in the

1382
01:16:57,600 --> 01:17:01,680
Speaker 2: exact same way. Okay. So for example, we talked as

1383
01:17:01,720 --> 01:17:06,880
Speaker 2: we talked about that that provider feels like abandon abandoned

1384
01:17:06,880 --> 01:17:12,040
Speaker 2: by the institutions, okay, and is opening themselves towards populism. Okay,

1385
01:17:12,160 --> 01:17:14,400
Speaker 2: we can see that I think reflected in some of

1386
01:17:14,400 --> 01:17:18,839
Speaker 2: the more popular sports podcasters. Okay, the skeptic is really interesting.

1387
01:17:18,840 --> 01:17:19,080
Speaker 3: Okay.

1388
01:17:19,160 --> 01:17:21,880
Speaker 2: We talked about I think the skeptic earlier, Chuck, when

1389
01:17:21,880 --> 01:17:26,120
Speaker 2: I talked about the younger African American boys, younger men. Okay,

1390
01:17:26,400 --> 01:17:28,960
Speaker 2: who said, you know what, I've been watching what's happened

1391
01:17:28,960 --> 01:17:31,960
Speaker 2: in my community, my parents and my grandparents. I don't think.

1392
01:17:32,479 --> 01:17:35,080
Speaker 2: I don't like Republicans. I'm not sure Democrats have our back.

1393
01:17:35,160 --> 01:17:38,320
Speaker 1: Okay, yeah, my grandfather's been telling me, been fighting for

1394
01:17:38,400 --> 01:17:42,000
Speaker 1: better schools. My father's been fighting for better schools. We

1395
01:17:42,040 --> 01:17:44,360
Speaker 1: still need better schools. What the hell have the Democrats

1396
01:17:44,360 --> 01:17:47,960
Speaker 1: done for us? I understand that it's multi generational, right.

1397
01:17:48,200 --> 01:17:53,080
Speaker 1: The worker, Okay, the hustler, the kid who's into crypto.

1398
01:17:53,280 --> 01:17:55,760
Speaker 2: He's got a great job, he's got picked up two

1399
01:17:55,840 --> 01:17:59,080
Speaker 2: or three other things. He's working as hard as he can.

1400
01:17:59,360 --> 01:18:02,200
Speaker 2: He has a college education. Okay, but but he still

1401
01:18:02,240 --> 01:18:05,720
Speaker 2: can't get ahead. Okay, he can't get as as far

1402
01:18:05,840 --> 01:18:09,679
Speaker 2: ahead as his dad. Okay, who was a blue collar

1403
01:18:09,720 --> 01:18:12,439
Speaker 2: guy who painted houses. Okay, but you could still afford

1404
01:18:12,479 --> 01:18:14,880
Speaker 2: a home and raise a family. With kids who went

1405
01:18:14,920 --> 01:18:17,640
Speaker 2: to college. Okay. The point is we can go through

1406
01:18:17,640 --> 01:18:21,080
Speaker 2: a couple more. But unless you can like like connect

1407
01:18:21,080 --> 01:18:25,559
Speaker 2: with these folks early on these shared experiences, it's difficult

1408
01:18:25,600 --> 01:18:29,320
Speaker 2: to rebuild trust, okay, and have that conversation about why

1409
01:18:29,520 --> 01:18:35,280
Speaker 2: your policy is better than than the other just one

1410
01:18:35,360 --> 01:18:38,160
Speaker 2: or two one or two other ones. I think that

1411
01:18:38,320 --> 01:18:43,360
Speaker 2: we're talking about is is like the scroller. Okay, this

1412
01:18:43,439 --> 01:18:47,000
Speaker 2: is someone right who's often because I can think about

1413
01:18:47,000 --> 01:18:48,479
Speaker 2: these people that can have been you call it.

1414
01:18:48,560 --> 01:18:51,520
Speaker 1: Let me, let me do the descriptive ad digitally isolated,

1415
01:18:51,840 --> 01:18:56,559
Speaker 1: algorithmically shaped against my will. I see so many Andrew

1416
01:18:56,600 --> 01:18:58,479
Speaker 1: tape videos. As a quote from one of year, I

1417
01:18:58,479 --> 01:19:03,200
Speaker 1: think focus scroups consuming extremist content passively may not even

1418
01:19:03,240 --> 01:19:07,000
Speaker 1: realize they've drifted, using incredible peers to just for fees

1419
01:19:07,040 --> 01:19:09,320
Speaker 1: replace rather than scold.

1420
01:19:10,200 --> 01:19:15,280
Speaker 2: Yeah, because it's not social media isn't just content. It's conditioning. Okay,

1421
01:19:15,439 --> 01:19:18,719
Speaker 2: So so like all of us who want to connect again,

1422
01:19:18,840 --> 01:19:20,479
Speaker 2: this is not a political thing for me, right, It's

1423
01:19:20,479 --> 01:19:24,080
Speaker 2: about like mental health and being good community members and

1424
01:19:24,960 --> 01:19:28,920
Speaker 2: strengthening our democracy. Because unless these folks feel heard, they

1425
01:19:28,920 --> 01:19:31,840
Speaker 2: don't participate in democracy. And this is to me what

1426
01:19:32,000 --> 01:19:35,080
Speaker 2: really drives me every single day. You know, this project

1427
01:19:35,080 --> 01:19:38,439
Speaker 2: at Harvard started about turnout. Right, only a third young

1428
01:19:38,520 --> 01:19:41,559
Speaker 2: of young people turned out in ninety six Clinton dole, right,

1429
01:19:41,600 --> 01:19:44,600
Speaker 2: And now thankfully we've got you know, over half on

1430
01:19:44,680 --> 01:19:46,960
Speaker 2: a routine on a routine basis. But to me, it's

1431
01:19:47,040 --> 01:19:50,920
Speaker 2: all turnout and uh and being heard and the scroller

1432
01:19:51,000 --> 01:19:54,240
Speaker 2: is examples. I'm like, they want to be heard, they

1433
01:19:54,280 --> 01:19:57,920
Speaker 2: want to like they're having these conversations on gaming platforms. Now, Okay,

1434
01:19:58,040 --> 01:20:01,040
Speaker 2: I appreciate that there's an element of young people that

1435
01:20:01,080 --> 01:20:02,760
Speaker 2: if you want to find them, that's where you need

1436
01:20:02,760 --> 01:20:03,840
Speaker 2: to find them online.

1437
01:20:04,080 --> 01:20:06,439
Speaker 1: Right, Yeah, I saw AOC every once in a while, Right,

1438
01:20:06,479 --> 01:20:11,400
Speaker 1: we'll play games and show up on Twitch and have conversations.

1439
01:20:11,520 --> 01:20:14,920
Speaker 1: It's she's the only one I've noticed that organically does it.

1440
01:20:15,080 --> 01:20:17,080
Speaker 1: I haven't seen a lot of examples of sort of

1441
01:20:17,200 --> 01:20:20,960
Speaker 1: that high level of a political actor doing that.

1442
01:20:21,280 --> 01:20:25,560
Speaker 2: For years, for years, I've been struck by the simplicity

1443
01:20:25,600 --> 01:20:27,800
Speaker 2: she does, like an end of the year roundup, you

1444
01:20:27,840 --> 01:20:30,040
Speaker 2: know that I see wherever on Instagram where she does

1445
01:20:30,120 --> 01:20:32,719
Speaker 2: talk about the things that she's accomplished and the impact

1446
01:20:32,760 --> 01:20:35,960
Speaker 2: it's made. You know, there's nothing preventing you know, other

1447
01:20:36,000 --> 01:20:38,439
Speaker 2: folks who care about democracy or care about talking to

1448
01:20:38,479 --> 01:20:42,120
Speaker 2: young people for doing the same thing. I imagine you've

1449
01:20:42,160 --> 01:20:50,519
Speaker 2: become more scholarly on generations and how different generations form

1450
01:20:51,040 --> 01:20:54,559
Speaker 2: and how their political identities form. I've obsessed with it.

1451
01:20:54,920 --> 01:20:57,960
Speaker 2: I subscribe to the strout with the book by.

1452
01:20:57,800 --> 01:21:02,280
Speaker 1: Strauss, and that the idea that there's four generation, four archetypes,

1453
01:21:02,320 --> 01:21:06,080
Speaker 1: and we sort of cycled through. And if you believe

1454
01:21:06,120 --> 01:21:08,920
Speaker 1: that gen Z, I think is the greatest sort of

1455
01:21:09,439 --> 01:21:12,280
Speaker 1: would be greatest generation, right, I think, if you know,

1456
01:21:12,320 --> 01:21:15,800
Speaker 1: it would be the and there are some similarities, right,

1457
01:21:15,840 --> 01:21:18,640
Speaker 1: Great Depression formed was it was a you know, the

1458
01:21:18,680 --> 01:21:25,440
Speaker 1: Great Recession arguably is a formative period questioning the relationship

1459
01:21:25,479 --> 01:21:28,400
Speaker 1: with government. You know, at the time, people don't realize

1460
01:21:28,400 --> 01:21:29,160
Speaker 1: that was happening.

1461
01:21:29,200 --> 01:21:30,120
Speaker 2: You know, an FDR and the.

1462
01:21:30,080 --> 01:21:32,800
Speaker 1: New Deal was a radical idea at the time, you know,

1463
01:21:32,960 --> 01:21:35,320
Speaker 1: to radically increase the size of government.

1464
01:21:35,840 --> 01:21:39,559
Speaker 2: That came in part arguably do due to that?

1465
01:21:41,400 --> 01:21:43,559
Speaker 1: Do you do you subscribe to that thesis that that

1466
01:21:43,640 --> 01:21:45,559
Speaker 1: gens we're having gen Z is going to be a

1467
01:21:45,640 --> 01:21:50,080
Speaker 1: transformational generation politically more so, you know, it's sort of

1468
01:21:50,120 --> 01:21:55,479
Speaker 1: like that Greatest Generation was transformational, not necessarily impact, you know,

1469
01:21:55,680 --> 01:22:00,439
Speaker 1: created the leadership class arguably for two generations, but sort

1470
01:22:00,439 --> 01:22:08,000
Speaker 1: of reframed politics for America for basically the rest of

1471
01:22:08,000 --> 01:22:08,879
Speaker 1: the twentieth century.

1472
01:22:09,479 --> 01:22:11,840
Speaker 2: And it's a different it was a different time. But

1473
01:22:11,960 --> 01:22:16,280
Speaker 2: also their parents sacrificed deeply, the silent generation sacrifice deeply

1474
01:22:16,560 --> 01:22:19,360
Speaker 2: right for the for the general, for the greatest generation.

1475
01:22:19,680 --> 01:22:23,200
Speaker 2: And I think that you know, we talked about gen

1476
01:22:23,360 --> 01:22:26,400
Speaker 2: X a little bit, being you know, parents of Gen Z,

1477
01:22:27,040 --> 01:22:29,280
Speaker 2: the cost of education, some of these other things. There's

1478
01:22:29,280 --> 01:22:30,720
Speaker 2: a lot of sacrifices which as putting a lot of

1479
01:22:30,720 --> 01:22:35,559
Speaker 2: pressure on gen Z now with the Sandwich generation. But yes,

1480
01:22:35,760 --> 01:22:43,559
Speaker 2: because despite despite the fact that despite the fact that

1481
01:22:43,920 --> 01:22:48,400
Speaker 2: they are losing faith in institutions, they're still participating at

1482
01:22:48,520 --> 01:22:53,120
Speaker 2: higher numbers at this age cohort than any previous generation.

1483
01:22:53,320 --> 01:22:57,200
Speaker 2: In the electoral politics they have not in One of the

1484
01:22:57,280 --> 01:23:01,240
Speaker 2: really optimistic things that comes out of the research is

1485
01:23:01,280 --> 01:23:04,120
Speaker 2: while they may feel symical about what's happening in Washington,

1486
01:23:04,439 --> 01:23:06,559
Speaker 2: I don't think they've given up on their communities. I

1487
01:23:06,560 --> 01:23:10,040
Speaker 2: think they're looking for opportunities to kind of see each

1488
01:23:10,040 --> 01:23:12,280
Speaker 2: other and to help each other.

1489
01:23:12,520 --> 01:23:14,679
Speaker 1: So it's interesting you say that you know, there's another

1490
01:23:14,960 --> 01:23:19,120
Speaker 1: more negative version that I ascribed to this, which is

1491
01:23:19,560 --> 01:23:22,120
Speaker 1: you talked about ninety six and the super low turnout

1492
01:23:22,160 --> 01:23:25,640
Speaker 1: among young voters. Is there a more peace and prosperity

1493
01:23:25,640 --> 01:23:28,120
Speaker 1: election that we've had in our lifetime than nineteen ninety six?

1494
01:23:28,640 --> 01:23:32,519
Speaker 1: Right where it's sort of peak influence of America, peak power,

1495
01:23:32,680 --> 01:23:35,320
Speaker 1: like the tech boom is just beginning. I mean, my god,

1496
01:23:35,680 --> 01:23:38,960
Speaker 1: it is literally the peace and prosperity election. How do

1497
01:23:38,960 --> 01:23:42,360
Speaker 1: we know this? The entire conversation was about culture, right,

1498
01:23:42,400 --> 01:23:44,680
Speaker 1: that was the entire right. They couldn't really hit them

1499
01:23:44,680 --> 01:23:46,880
Speaker 1: on the economy. They just hit them on culture and

1500
01:23:46,880 --> 01:23:50,240
Speaker 1: a distant character because it was a true peace and

1501
01:23:50,280 --> 01:23:51,080
Speaker 1: prosperity election.

1502
01:23:51,240 --> 01:23:52,880
Speaker 2: So, yes, turnout was down.

1503
01:23:53,600 --> 01:23:56,679
Speaker 1: I've you know, there's been this uncomfortable realization that I've

1504
01:23:56,680 --> 01:23:59,120
Speaker 1: had that here we've had our four of our highest

1505
01:23:59,120 --> 01:24:02,160
Speaker 1: turnouts in my life time in these last two midterms

1506
01:24:02,160 --> 01:24:05,040
Speaker 1: and two presidentials, and it has been when there have

1507
01:24:05,080 --> 01:24:08,000
Speaker 1: been questions about the future of democracy, right have been

1508
01:24:08,040 --> 01:24:10,400
Speaker 1: sort of at the center of the conversation. And I

1509
01:24:10,439 --> 01:24:13,040
Speaker 1: guess do we feel better that the more people think

1510
01:24:13,120 --> 01:24:15,080
Speaker 1: is at stake, the more likely they are to vote,

1511
01:24:15,800 --> 01:24:17,680
Speaker 1: and the less that they think is at stake, the

1512
01:24:17,760 --> 01:24:19,760
Speaker 1: less likely they are to vote. Is that should we

1513
01:24:19,800 --> 01:24:22,320
Speaker 1: take comfort in that or not? You see where I'm

1514
01:24:22,320 --> 01:24:22,920
Speaker 1: going right.

1515
01:24:22,920 --> 01:24:27,680
Speaker 2: Yeah, I have to. I'm an optimist. I have to

1516
01:24:27,680 --> 01:24:33,120
Speaker 2: take comfort in that because I appreciate the fact that

1517
01:24:33,680 --> 01:24:38,840
Speaker 2: this generation, I think with millennials, realize that that so

1518
01:24:38,960 --> 01:24:41,200
Speaker 2: much is at stake and it needs to be a

1519
01:24:41,240 --> 01:24:45,240
Speaker 2: public and private series of solutions to kind of to

1520
01:24:45,760 --> 01:24:49,800
Speaker 2: get us there. And they may not even believe that

1521
01:24:50,080 --> 01:24:53,559
Speaker 2: they'll they'll be able to own a home in the

1522
01:24:53,560 --> 01:24:56,000
Speaker 2: place where they grew up. But I don't think they're

1523
01:24:56,000 --> 01:24:58,240
Speaker 2: willing to give up on America. I don't think they're

1524
01:24:58,240 --> 01:25:00,879
Speaker 2: willing to give up, you know, kind of on their futures,

1525
01:25:00,920 --> 01:25:05,880
Speaker 2: in their children's futures, through through their work. But so

1526
01:25:06,080 --> 01:25:09,200
Speaker 2: I think, and we've seen examples of this. We saw again,

1527
01:25:09,240 --> 01:25:11,120
Speaker 2: I go back to what we saw in New York City,

1528
01:25:11,200 --> 01:25:13,840
Speaker 2: you know. And the lesson from New York City isn't

1529
01:25:14,040 --> 01:25:17,240
Speaker 2: that I don't think that Democrats socialism is going to

1530
01:25:17,280 --> 01:25:19,960
Speaker 2: sweep America. Maybe it will, maybe it won't. The lesson

1531
01:25:19,960 --> 01:25:24,040
Speaker 2: from New York City is younger people, new coalitions of

1532
01:25:24,200 --> 01:25:28,200
Speaker 2: younger men of white voters, of younger voters turn out

1533
01:25:28,360 --> 01:25:31,360
Speaker 2: when they feel heard, right when there's a campaign focused

1534
01:25:31,360 --> 01:25:34,839
Speaker 2: on listening and not lecturing. Okay, So if we're able,

1535
01:25:35,240 --> 01:25:39,160
Speaker 2: if we're able to find candidates who aspire to that,

1536
01:25:40,080 --> 01:25:42,600
Speaker 2: I think that gen Z can be that TRANSFORMEDI of

1537
01:25:42,720 --> 01:25:47,400
Speaker 2: generation funny, hopefully not in terms of obviously the significant

1538
01:25:47,400 --> 01:25:50,960
Speaker 2: sacrifices overseas, but domestically listening.

1539
01:25:51,040 --> 01:25:55,320
Speaker 1: That lecturing triggered a question. There's another sub steck out there.

1540
01:25:55,320 --> 01:25:56,960
Speaker 1: And I was talking about you before in Coche, and

1541
01:25:56,960 --> 01:26:00,000
Speaker 1: I know you're familiar with young men Men research initiative.

1542
01:26:00,040 --> 01:26:02,240
Speaker 1: If it's a sort of a side project of a gentleman,

1543
01:26:02,320 --> 01:26:05,320
Speaker 1: then I've does some other things, and it's he did

1544
01:26:05,360 --> 01:26:05,760
Speaker 1: his own.

1545
01:26:05,920 --> 01:26:09,080
Speaker 2: It was some other I think he bought some Yugov.

1546
01:26:10,400 --> 01:26:13,920
Speaker 1: Access to the to the you of sampling, and the

1547
01:26:13,920 --> 01:26:19,480
Speaker 1: big conclusion he came from is gen z Uh basically

1548
01:26:20,320 --> 01:26:21,880
Speaker 1: loves Bernie and hates Woke.

1549
01:26:22,520 --> 01:26:25,280
Speaker 2: You know. It was sort of this essentially.

1550
01:26:24,760 --> 01:26:28,760
Speaker 1: Saying, hey, this is a these young men are culturally

1551
01:26:28,800 --> 01:26:31,280
Speaker 1: conservative and economically liberal.

1552
01:26:32,439 --> 01:26:35,240
Speaker 2: Well, I will put a little bit more nuanced on that,

1553
01:26:35,560 --> 01:26:41,360
Speaker 2: is that is that they there aspects of of the

1554
01:26:42,080 --> 01:26:46,360
Speaker 2: of Republicans who are more conservative who are following Trump. Okay,

1555
01:26:46,560 --> 01:26:49,479
Speaker 2: but I think the point of the listening not lecturing,

1556
01:26:49,600 --> 01:26:53,400
Speaker 2: is we need to give younger people, specifically younger men,

1557
01:26:53,600 --> 01:26:58,000
Speaker 2: some space, you know, with some of these cultural issues, Okay,

1558
01:26:58,320 --> 01:27:01,200
Speaker 2: to let them come up kind of based upon their

1559
01:27:01,200 --> 01:27:03,240
Speaker 2: own experiences, kind of were their own decisions. And that's

1560
01:27:03,280 --> 01:27:04,960
Speaker 2: what I find when I go to the south, right,

1561
01:27:05,120 --> 01:27:07,000
Speaker 2: there's a different environment. If you're growing up in a

1562
01:27:07,040 --> 01:27:12,320
Speaker 2: more conservative, perhaps more religious household, you know that sometimes

1563
01:27:12,360 --> 01:27:15,200
Speaker 2: you just immediately more space to figure out what you know,

1564
01:27:15,920 --> 01:27:23,400
Speaker 2: your view is on transgender bathrooms or or or medical procedures,

1565
01:27:23,400 --> 01:27:26,760
Speaker 2: et cetera, and too hot. Too often what happens is

1566
01:27:27,000 --> 01:27:29,840
Speaker 2: when they ask someone who they think has lot more

1567
01:27:29,880 --> 01:27:35,840
Speaker 2: about this, sometimes they feel mocked. Sometimes they see that

1568
01:27:35,920 --> 01:27:38,840
Speaker 2: eye roll right, and rather than giving them the kind

1569
01:27:38,840 --> 01:27:41,280
Speaker 2: of the grace to help them think through it themselves,

1570
01:27:41,600 --> 01:27:44,920
Speaker 2: you know, they feel some disdain from someone else who

1571
01:27:45,040 --> 01:27:47,760
Speaker 2: might be quote more woke, and that again takes them

1572
01:27:47,800 --> 01:27:51,120
Speaker 2: into a place that's not constructive. Now they feel they

1573
01:27:51,120 --> 01:27:51,839
Speaker 2: feel shamed.

1574
01:27:52,160 --> 01:27:55,519
Speaker 1: I mean, look, I think a lot of parents of

1575
01:27:56,000 --> 01:28:00,760
Speaker 1: gen Z men have had h If they're close with

1576
01:28:00,800 --> 01:28:04,080
Speaker 1: their kids, their their sons will explain to them a

1577
01:28:04,120 --> 01:28:04,679
Speaker 1: moment when.

1578
01:28:04,520 --> 01:28:05,360
Speaker 2: They have felt this way.

1579
01:28:05,960 --> 01:28:10,000
Speaker 1: Yeh, shame, I know, I don't know that shame feeling

1580
01:28:10,800 --> 01:28:14,160
Speaker 1: and being shocked. It literally was asking a question in

1581
01:28:14,240 --> 01:28:17,320
Speaker 1: class where it was encouraged to ask and then suddenly

1582
01:28:17,680 --> 01:28:21,320
Speaker 1: felt mocked and shamed and singled out, and you know

1583
01:28:22,640 --> 01:28:29,800
Speaker 1: it was It's again, it's the experience that let's just say,

1584
01:28:29,800 --> 01:28:33,080
Speaker 1: it translates to geez. If I was another demographic group,

1585
01:28:33,439 --> 01:28:36,120
Speaker 1: there would be a bunch of people rallying around me

1586
01:28:36,160 --> 01:28:39,080
Speaker 1: as a victim. But because I'm in this demographic group,

1587
01:28:40,040 --> 01:28:41,679
Speaker 1: I get no I get no grace.

1588
01:28:43,400 --> 01:28:45,679
Speaker 2: The number of times I hear that right from parents

1589
01:28:45,760 --> 01:28:49,400
Speaker 2: of children or from younger people themselves is collless. But

1590
01:28:49,439 --> 01:28:51,879
Speaker 2: here's the other here's the political side of that, okay,

1591
01:28:52,160 --> 01:28:57,080
Speaker 2: is that when when I ask younger people about the

1592
01:28:57,120 --> 01:29:00,640
Speaker 2: ones who voted for Trump, why they see strength Republicans,

1593
01:29:00,720 --> 01:29:03,559
Speaker 2: they see weakness in Democrats. One of the ways in

1594
01:29:03,600 --> 01:29:07,600
Speaker 2: which a young person sees strength is by someone like

1595
01:29:07,680 --> 01:29:10,840
Speaker 2: Charlie kirk Okay, who is not afraid to show up

1596
01:29:10,920 --> 01:29:13,120
Speaker 2: at a place that will often be hostile at the

1597
01:29:13,160 --> 01:29:15,920
Speaker 2: college campus and take any question from anyone. They don't

1598
01:29:15,960 --> 01:29:18,679
Speaker 2: necessarily need to agree, but they see strength in having

1599
01:29:18,760 --> 01:29:22,040
Speaker 2: that conversation and that debate, you know, or that discussion.

1600
01:29:22,200 --> 01:29:23,680
Speaker 2: I think that is one of the things that kind

1601
01:29:23,720 --> 01:29:26,720
Speaker 2: of connects them with the Rogans that Theovonn's and others. Right,

1602
01:29:26,760 --> 01:29:29,519
Speaker 2: it's not their ideology. I think their ideology is independent.

1603
01:29:29,600 --> 01:29:32,439
Speaker 2: We can see a significant by the way shift Chuck right,

1604
01:29:32,800 --> 01:29:37,599
Speaker 2: theo Vonn questioning what's happening in the Middle East, Joe Rogan,

1605
01:29:37,960 --> 01:29:42,960
Speaker 2: you know, giving platforms to Democrats, Andrew Schultz talking about

1606
01:29:43,240 --> 01:29:47,360
Speaker 2: the party who most sees Americans a Democrats socialist party. Okay,

1607
01:29:47,560 --> 01:29:51,000
Speaker 2: So they appreciate, right, the openness of those kinds of

1608
01:29:51,040 --> 01:29:54,640
Speaker 2: conversations and that strength, and that's something that Democrats need

1609
01:29:54,720 --> 01:29:58,520
Speaker 2: to understand and be more open to longer form conversations.

1610
01:29:59,080 --> 01:30:02,240
Speaker 1: You're not just this expert on gen Z. You started

1611
01:30:02,240 --> 01:30:05,320
Speaker 1: this pull in ninety six, which means really you've watched

1612
01:30:05,400 --> 01:30:10,640
Speaker 1: millennials go from non votering to become mature sort of

1613
01:30:11,479 --> 01:30:12,760
Speaker 1: arguably the dominant.

1614
01:30:12,920 --> 01:30:13,760
Speaker 2: Correct me if I'm wrong.

1615
01:30:13,960 --> 01:30:20,040
Speaker 1: Did they overtake boomers in twenty four for total sorry millennials? Yeah,

1616
01:30:20,040 --> 01:30:22,040
Speaker 1: that's what I thought, right, So me now, and this

1617
01:30:22,080 --> 01:30:24,280
Speaker 1: is an important moment, trust correct me?

1618
01:30:24,360 --> 01:30:25,120
Speaker 2: Right, which is.

1619
01:30:25,360 --> 01:30:28,439
Speaker 1: Millennials and gen Z are more than half the electorate

1620
01:30:28,479 --> 01:30:30,320
Speaker 1: now of actual voting.

1621
01:30:30,400 --> 01:30:35,080
Speaker 2: Are not there yet? Not quite an actual voting maybe

1622
01:30:35,160 --> 01:30:37,800
Speaker 2: forty twenty eight. You think by twenty eight it will be.

1623
01:30:38,320 --> 01:30:43,679
Speaker 1: Should the twenty eight presidential candidates assume that voters under

1624
01:30:43,800 --> 01:30:46,720
Speaker 1: fifty will outnumber voters over fifty or no?

1625
01:30:47,479 --> 01:30:50,360
Speaker 2: Under fifty? I think yes, okay, But here's the thing.

1626
01:30:50,560 --> 01:30:52,680
Speaker 2: Voters over fifty they pretty much know where they're going

1627
01:30:52,680 --> 01:30:55,559
Speaker 2: to vote right now. Okay, they don't change that much, right,

1628
01:30:55,600 --> 01:30:57,920
Speaker 2: they don't change that much. When do they develop that habit?

1629
01:30:58,000 --> 01:31:01,320
Speaker 2: Have you figured that out? Is there an age? Is it? Yeah?

1630
01:31:01,360 --> 01:31:03,479
Speaker 2: So well, I think it so much of it if you,

1631
01:31:03,600 --> 01:31:06,800
Speaker 2: if you, if you kind of agree with a generational theory, chuck,

1632
01:31:06,880 --> 01:31:10,479
Speaker 2: So much of it is in this teenage, early twenties something.

1633
01:31:10,479 --> 01:31:13,400
Speaker 2: I think the experienced that you carry, these are gen X.

1634
01:31:13,840 --> 01:31:16,559
Speaker 1: I'm obsessed with this right because my demographic group you

1635
01:31:17,360 --> 01:31:17,920
Speaker 1: it's a hour.

1636
01:31:18,040 --> 01:31:20,160
Speaker 2: Yeah, I think our demographic group is very.

1637
01:31:20,040 --> 01:31:23,519
Speaker 1: Pro Trump, White men over fifty, right between fifty and

1638
01:31:23,600 --> 01:31:24,160
Speaker 1: sixty five.

1639
01:31:24,200 --> 01:31:26,960
Speaker 2: This is gen X, not boomer gen X.

1640
01:31:27,000 --> 01:31:30,320
Speaker 1: It's it right, Well, who was our who was the

1641
01:31:30,360 --> 01:31:34,360
Speaker 1: president of our in our like where we truly understood

1642
01:31:34,560 --> 01:31:35,559
Speaker 1: well Reagan wrong.

1643
01:31:35,640 --> 01:31:37,599
Speaker 2: You're the children of Reagan, yep. Right.

1644
01:31:37,920 --> 01:31:43,320
Speaker 1: I look at you know, millennials, and in many ways they.

1645
01:31:43,200 --> 01:31:45,599
Speaker 2: Grew up with Bill Clinton, right.

1646
01:31:45,640 --> 01:31:49,320
Speaker 1: That was their that was their childhood memory of a president.

1647
01:31:49,560 --> 01:31:51,960
Speaker 1: You know, my parents their childhood memory of a president

1648
01:31:52,000 --> 01:31:52,760
Speaker 1: was Eisenhower.

1649
01:31:53,200 --> 01:31:53,360
Speaker 3: Right.

1650
01:31:53,479 --> 01:31:56,040
Speaker 1: So that that's why they're more soft urs really than

1651
01:31:56,080 --> 01:31:58,680
Speaker 1: I think rd rs, which Boomers have proven out to

1652
01:31:58,720 --> 01:32:01,400
Speaker 1: be there, really are pretty fifty to fifty.

1653
01:32:01,120 --> 01:32:02,080
Speaker 2: Generation, aren't they.

1654
01:32:02,439 --> 01:32:05,759
Speaker 1: Then ultimately, the boomers have stayed fairly fifty to fifty

1655
01:32:05,760 --> 01:32:07,720
Speaker 1: the entire you know, they move back and forth a

1656
01:32:07,760 --> 01:32:10,519
Speaker 1: little bit, but if you look at it and back again,

1657
01:32:10,800 --> 01:32:14,840
Speaker 1: if anything, they leaned slightly left right exactly exactly.

1658
01:32:14,920 --> 01:32:18,559
Speaker 2: And what I think a lot of strategists don't get.

1659
01:32:18,560 --> 01:32:20,280
Speaker 2: And this is the reason that we started this Harvard

1660
01:32:20,320 --> 01:32:22,200
Speaker 2: poll twenty five years ago. So the first pole was

1661
01:32:22,320 --> 01:32:25,759
Speaker 2: it was in two thousand, is because it's really hard.

1662
01:32:25,840 --> 01:32:30,080
Speaker 2: You can't model Okay, we talk about all these analytics rooms. Okay,

1663
01:32:30,280 --> 01:32:33,040
Speaker 2: you can't model behavior that it hasn't happened Yet's okay,

1664
01:32:33,280 --> 01:32:35,880
Speaker 2: So you need to understand the fifteen sixteen, seventy eighteen

1665
01:32:35,960 --> 01:32:39,040
Speaker 2: year old and that experience. And this is where I

1666
01:32:39,080 --> 01:32:42,400
Speaker 2: think too many Democrats took it for granted. This experience

1667
01:32:42,600 --> 01:32:47,320
Speaker 2: under Biden, Okay, it's fundamentally different than the previous experience

1668
01:32:47,400 --> 01:32:51,240
Speaker 2: from twenty twenty, which was under Trump. Okay, they and

1669
01:32:51,280 --> 01:32:53,800
Speaker 2: they just assumed, like we talked about, it was going

1670
01:32:53,840 --> 01:32:57,080
Speaker 2: to be a replay of twenty twenty two and not

1671
01:32:57,760 --> 01:33:02,679
Speaker 2: really listening. You know. I talked to someone recently who

1672
01:33:02,840 --> 01:33:06,160
Speaker 2: kind of worked inside one of those analytics operations, and

1673
01:33:06,200 --> 01:33:08,439
Speaker 2: they told me it's really hard to get people to

1674
01:33:08,479 --> 01:33:11,800
Speaker 2: answer the door door knocking with younger people. It doesn't

1675
01:33:11,840 --> 01:33:13,360
Speaker 2: mean you have to give up. It means you have

1676
01:33:13,400 --> 01:33:15,720
Speaker 2: to work harder to listen and to find them and

1677
01:33:15,760 --> 01:33:18,519
Speaker 2: to engage. Right. And again, it's not to me about

1678
01:33:18,560 --> 01:33:21,559
Speaker 2: Democrats and Republicans, It's about democracy. We need to well

1679
01:33:21,600 --> 01:33:22,080
Speaker 2: here we are.

1680
01:33:22,240 --> 01:33:24,599
Speaker 1: So gen Z is going to be shaped by Trump

1681
01:33:24,680 --> 01:33:27,360
Speaker 1: for a generation, for two generations, and I think we

1682
01:33:27,400 --> 01:33:30,400
Speaker 1: don't fully you know. You know, with boomers, right, you

1683
01:33:30,439 --> 01:33:33,160
Speaker 1: had both Eisenhower and Kennedy in many ways sort of

1684
01:33:33,240 --> 01:33:40,280
Speaker 1: shaped you know. Nixon was their polarizing president if anything, right,

1685
01:33:40,320 --> 01:33:40,840
Speaker 1: and it.

1686
01:33:40,720 --> 01:33:43,720
Speaker 2: Was sort of the it and I could argue that

1687
01:33:43,800 --> 01:33:44,679
Speaker 2: it is sort of.

1688
01:33:46,040 --> 01:33:49,599
Speaker 1: That fight between the jocks and the and the and

1689
01:33:49,640 --> 01:33:52,680
Speaker 1: the feminists right in the nerds right in the late

1690
01:33:52,720 --> 01:33:55,960
Speaker 1: sixties and early seventies, continues, right, and you could argue

1691
01:33:56,000 --> 01:33:58,960
Speaker 1: Hillary Clinton and Donald Trump were literally, you know, the

1692
01:33:59,000 --> 01:34:01,599
Speaker 1: president of the student versus the capital of the football team.

1693
01:34:01,640 --> 01:34:05,960
Speaker 2: You know, that was the I'm fascinating to.

1694
01:34:05,960 --> 01:34:09,840
Speaker 1: See how gen Z and what this means over the

1695
01:34:09,880 --> 01:34:12,680
Speaker 1: next twenty five years of gen Z politically. Do they

1696
01:34:12,680 --> 01:34:15,720
Speaker 1: gravitate to strong candidates no matter whether they're left or

1697
01:34:15,800 --> 01:34:19,320
Speaker 1: right right, But it's more of the strong because that

1698
01:34:19,320 --> 01:34:22,800
Speaker 1: that is what they know. It's the strong man politics.

1699
01:34:23,280 --> 01:34:25,320
Speaker 1: That's what they know right now. And I think it's

1700
01:34:25,320 --> 01:34:28,120
Speaker 1: more formidative. It's going to end up being more formative

1701
01:34:28,160 --> 01:34:31,280
Speaker 1: to them than I think we fully appreciate. If the

1702
01:34:31,360 --> 01:34:35,280
Speaker 1: same way you know that Clinton was, you know, Clinton

1703
01:34:35,320 --> 01:34:38,080
Speaker 1: and Democrats were seen as a net positive with millennials

1704
01:34:38,080 --> 01:34:38,559
Speaker 1: growing up.

1705
01:34:38,800 --> 01:34:42,000
Speaker 2: For you, our generation, it was Reagan, et cetera. If

1706
01:34:42,479 --> 01:34:45,719
Speaker 2: if it's not countered, Okay, my biggest concern, My biggest

1707
01:34:45,720 --> 01:34:49,680
Speaker 2: concern is what Trump is doing to these institutions, right know,

1708
01:34:49,840 --> 01:34:53,520
Speaker 2: is gunning them. But in terms of the public attitudes

1709
01:34:53,880 --> 01:34:56,760
Speaker 2: about restoring that. But yeah, the question is to me,

1710
01:34:56,960 --> 01:34:59,160
Speaker 2: is this a moment or is this a trend? And

1711
01:34:59,200 --> 01:35:03,240
Speaker 2: it could be a moment or could be a trend

1712
01:35:03,720 --> 01:35:08,040
Speaker 2: unless it's countered by strength in a different kind of

1713
01:35:08,040 --> 01:35:13,439
Speaker 2: strength on the other side. That hears you again again.

1714
01:35:13,479 --> 01:35:16,639
Speaker 2: I think there are local examples of this around around

1715
01:35:16,680 --> 01:35:18,840
Speaker 2: the country, and I think you know, as we hit

1716
01:35:18,880 --> 01:35:21,479
Speaker 2: the midterm cycle, it will be an indication. It will

1717
01:35:21,479 --> 01:35:24,160
Speaker 2: clearly be backlashed like there wasn't two thousand. I t yeah,

1718
01:35:24,200 --> 01:35:27,720
Speaker 2: but we'll see what develops from from that. And you know,

1719
01:35:27,760 --> 01:35:29,479
Speaker 2: the dozen or so candidates are looking at this one

1720
01:35:29,560 --> 01:35:32,480
Speaker 2: dumbo brexie.

1721
01:35:31,200 --> 01:35:33,000
Speaker 1: If you want to if you want to be conventional,

1722
01:35:33,040 --> 01:35:36,880
Speaker 1: that unchanged right, and you actually usually won't go wrong.

1723
01:35:37,080 --> 01:35:38,559
Speaker 1: Let me get get you out of here on this.

1724
01:35:38,600 --> 01:35:40,920
Speaker 1: We talked about how you started this at the beginning

1725
01:35:40,920 --> 01:35:45,880
Speaker 1: of millennials. You've now gone through When do the when

1726
01:35:46,240 --> 01:35:47,960
Speaker 1: let me ask you this, when is the last gen

1727
01:35:48,080 --> 01:35:49,040
Speaker 1: z or turn eighteen?

1728
01:35:49,920 --> 01:35:55,360
Speaker 2: Yeah? So fifty uh another, we're gin a couple more years.

1729
01:35:55,880 --> 01:35:59,040
Speaker 2: Uh yeah, twenty thirty two. You know, I think it's okay,

1730
01:35:59,080 --> 01:36:01,120
Speaker 2: So we are we are So.

1731
01:36:02,200 --> 01:36:04,479
Speaker 1: Do you feel like it's a little soon to understand

1732
01:36:04,560 --> 01:36:08,760
Speaker 1: Gen Alpha yet I do.

1733
01:36:10,040 --> 01:36:11,960
Speaker 2: Yeah, Ok, they're great.

1734
01:36:12,000 --> 01:36:14,800
Speaker 1: We still got about the rest of this decade to

1735
01:36:14,960 --> 01:36:17,440
Speaker 1: get all of Gen Z into the electorate.

1736
01:36:17,520 --> 01:36:20,920
Speaker 2: We still got the oldest Alpha kids are. They're still

1737
01:36:20,920 --> 01:36:23,320
Speaker 2: thinking about middle school, okay, and that's where we.

1738
01:36:23,280 --> 01:36:25,360
Speaker 1: Begin Gen Alpha is at twenty you said, I saw

1739
01:36:25,360 --> 01:36:26,400
Speaker 1: you say twenty fifteen.

1740
01:36:26,520 --> 01:36:29,479
Speaker 2: Is that a prop where you're going? I think that.

1741
01:36:30,560 --> 01:36:32,760
Speaker 2: I think that's when the first jenn alpher run around then,

1742
01:36:32,920 --> 01:36:33,280
Speaker 2: you know.

1743
01:36:33,240 --> 01:36:38,400
Speaker 1: So they'll have no memory of Barack Obama. And that's

1744
01:36:38,439 --> 01:36:42,519
Speaker 1: an important right, that just happens. Look, hey, father time

1745
01:36:42,600 --> 01:36:47,200
Speaker 1: is undefeated. It just it just happens. That's interesting, mm hmm.

1746
01:36:47,920 --> 01:36:48,160
Speaker 3: Yeah.

1747
01:36:49,240 --> 01:36:53,240
Speaker 2: Yeah. And and they're they're experience those younger ones, those

1748
01:36:53,280 --> 01:36:56,559
Speaker 2: experiences with Donald Trump will be quite will be quite different,

1749
01:36:56,640 --> 01:36:58,639
Speaker 2: especially as it happens over the next couple of years.

1750
01:36:58,760 --> 01:37:02,720
Speaker 1: Right, So, well, when is you do usually do an

1751
01:37:02,720 --> 01:37:06,400
Speaker 1: incoming freshman? Do you do any freshman survey?

1752
01:37:06,920 --> 01:37:10,559
Speaker 2: Is that coming soon? That we are organizing. We're going

1753
01:37:10,640 --> 01:37:13,880
Speaker 2: to be investing more, I think in listening and focus groups.

1754
01:37:13,920 --> 01:37:17,000
Speaker 2: So we have some focus groups we'll be doing here

1755
01:37:17,040 --> 01:37:20,680
Speaker 2: at Harvard this fall and in an odd year, we're

1756
01:37:20,720 --> 01:37:24,679
Speaker 2: not going to release our first survey until early December. Okay,

1757
01:37:24,760 --> 01:37:27,759
Speaker 2: so we won't be doing the incoming freshman survey our survey.

1758
01:37:27,960 --> 01:37:30,040
Speaker 2: Let's another university. We'll be doing the eighteen to twenty

1759
01:37:30,120 --> 01:37:33,360
Speaker 2: nine year old cohort and that will come out what

1760
01:37:33,400 --> 01:37:34,720
Speaker 2: we've got some time for That will come out in

1761
01:37:34,760 --> 01:37:37,280
Speaker 2: early early December. You bout a year olf from the midterms.

1762
01:37:37,600 --> 01:37:41,960
Speaker 1: Well, John, you are persistent, and I think your work

1763
01:37:41,960 --> 01:37:44,439
Speaker 1: has proven to be extraordinarily important.

1764
01:37:44,479 --> 01:37:44,960
Speaker 2: And I think that.

1765
01:37:46,439 --> 01:37:51,839
Speaker 1: It's funny when I think about how my peers treated

1766
01:37:52,000 --> 01:37:54,000
Speaker 1: covering young voters and sort of you know, there.

1767
01:37:53,840 --> 01:37:55,120
Speaker 2: Was always there was a stigma.

1768
01:37:55,160 --> 01:37:56,800
Speaker 1: Wow, it doesn't you don't have to bother they don't

1769
01:37:56,840 --> 01:37:59,960
Speaker 1: turn out, which was true until it wasn't exactly yep.

1770
01:38:00,120 --> 01:38:02,439
Speaker 2: And because they weren't hurt, they were listened to. So

1771
01:38:02,479 --> 01:38:04,320
Speaker 2: that's what we tried to do at Harvard. Try to

1772
01:38:04,320 --> 01:38:07,320
Speaker 2: give the opportunity to give no excuses if you want

1773
01:38:07,320 --> 01:38:07,920
Speaker 2: to reach them.

1774
01:38:08,240 --> 01:38:11,320
Speaker 1: This is what they care about. That's it all right, John,

1775
01:38:11,360 --> 01:38:14,479
Speaker 1: telliv Ope. Let's see that you can subscribe to this day.

1776
01:38:14,560 --> 01:38:16,559
Speaker 1: They don't even have to pay, do they. It's a

1777
01:38:16,560 --> 01:38:19,400
Speaker 1: free substack. It's a free substack. It's a free substack,

1778
01:38:19,439 --> 01:38:20,759
Speaker 1: there's something to take archived.

1779
01:38:20,840 --> 01:38:23,840
Speaker 2: Yeah, we take tips, we take tips, and I got

1780
01:38:23,880 --> 01:38:26,439
Speaker 2: a lot of other research outside of Harvard. I'm investing

1781
01:38:26,439 --> 01:38:28,760
Speaker 2: in my own research. So I do appreciate you know,

1782
01:38:28,840 --> 01:38:33,599
Speaker 2: those who do subscribe and support it. And that's all good,

1783
01:38:33,600 --> 01:38:35,719
Speaker 2: which is trying to give voice to as many people

1784
01:38:35,920 --> 01:38:36,479
Speaker 2: as we can.

1785
01:38:36,920 --> 01:38:41,120
Speaker 1: Well, I, as you know, I'm an avid reader. I

1786
01:38:41,120 --> 01:38:43,720
Speaker 1: hope you saw that based on how many times I

1787
01:38:43,760 --> 01:38:45,320
Speaker 1: wanted to go back to stuff that.

1788
01:38:45,320 --> 01:38:47,880
Speaker 2: You did, great stuff. Good to check in with you.

1789
01:38:47,920 --> 01:38:50,560
Speaker 2: I want to do this again, hopefully when your next polls.

1790
01:38:50,240 --> 01:38:53,160
Speaker 1: Out, and we'll go we'll go from there.

1791
01:38:53,240 --> 01:38:54,880
Speaker 2: All right, John, there you go.

1792
01:39:05,120 --> 01:39:08,560
Speaker 1: Well, I hope you enjoyed that conversation with mister Delavope.

1793
01:39:08,880 --> 01:39:11,880
Speaker 1: As I said at the top, I'm obsessed with understanding.

1794
01:39:12,160 --> 01:39:16,920
Speaker 1: I think you know, frankly, if you're in whatever business,

1795
01:39:17,000 --> 01:39:20,160
Speaker 1: you're in the business of winning elections, the business of

1796
01:39:20,240 --> 01:39:22,840
Speaker 1: trying to win readers over the business of trying to

1797
01:39:22,880 --> 01:39:25,920
Speaker 1: sell a product, sell a widget. You need to know

1798
01:39:25,920 --> 01:39:28,720
Speaker 1: everything about millennials and gen z right now, because they

1799
01:39:28,760 --> 01:39:31,400
Speaker 1: spent right The older you get, the less you spent

1800
01:39:33,120 --> 01:39:34,720
Speaker 1: for a variety of reasons. You know what you want

1801
01:39:34,720 --> 01:39:36,400
Speaker 1: to buy, and you buy the same stuff all the time,

1802
01:39:36,640 --> 01:39:39,840
Speaker 1: so you don't buy new things right, or you're set

1803
01:39:39,840 --> 01:39:42,000
Speaker 1: in your ways, or you have a fixed income for

1804
01:39:42,200 --> 01:39:44,880
Speaker 1: a variety of reasons. They're not the new spenders. So

1805
01:39:45,040 --> 01:39:49,120
Speaker 1: understanding this half of the country unto forty five couldn't

1806
01:39:49,160 --> 01:39:49,839
Speaker 1: be more critical.

1807
01:39:50,600 --> 01:39:54,360
Speaker 2: A few other things. I feel like I was an.

1808
01:39:56,280 --> 01:39:57,800
Speaker 1: I used to roll my eyes and my dad used

1809
01:39:57,800 --> 01:39:59,439
Speaker 1: to do this. My dad used to wake me up

1810
01:39:59,439 --> 01:40:01,320
Speaker 1: with Hey and so died today, let me tell you

1811
01:40:01,320 --> 01:40:03,680
Speaker 1: about so and so. Well, the last week had a

1812
01:40:03,680 --> 01:40:06,000
Speaker 1: lot of those. Let me tell you you know. I

1813
01:40:06,040 --> 01:40:07,640
Speaker 1: feel like I had to explain to my son what

1814
01:40:07,720 --> 01:40:09,400
Speaker 1: made Ozzy Osbourne famous.

1815
01:40:09,040 --> 01:40:11,280
Speaker 3: Which I got through with you guys earlier.

1816
01:40:11,600 --> 01:40:15,200
Speaker 1: What Malcolm Jamal Warner and how important he was. You know,

1817
01:40:15,240 --> 01:40:18,320
Speaker 1: are basically the same age. We were teenagers together. My

1818
01:40:18,560 --> 01:40:21,679
Speaker 1: father was obsessed with The Cosby Show and Bill Cosby

1819
01:40:21,840 --> 01:40:25,240
Speaker 1: was obsessed with that book Fatherhood. He died before he

1820
01:40:25,240 --> 01:40:27,760
Speaker 1: ever found out who Bill Cosby really was, So let's

1821
01:40:27,880 --> 01:40:29,080
Speaker 1: you know, and I'm sure.

1822
01:40:28,880 --> 01:40:31,080
Speaker 2: My father wasn't alone. There was a whole bunch of.

1823
01:40:33,200 --> 01:40:37,719
Speaker 1: Boomer guys that absolutely saw Bill Cosby as a north

1824
01:40:37,760 --> 01:40:44,880
Speaker 1: star on fatherhood, so the Cosby Show, Bill Cosbyism's in

1825
01:40:45,000 --> 01:40:48,120
Speaker 1: general in the eighties. I feel like I grew up

1826
01:40:48,120 --> 01:40:50,240
Speaker 1: with as many of them, and maybe more than theo

1827
01:40:50,320 --> 01:40:51,040
Speaker 1: Huxtable did.

1828
01:40:52,520 --> 01:40:53,759
Speaker 2: Haul Cogan, hey man.

1829
01:40:54,040 --> 01:40:58,560
Speaker 1: My first wrestling memory was watching wrestling with my great grandmother.

1830
01:40:59,760 --> 01:41:02,880
Speaker 1: We had our own wrestling circuit in Florida. Guy named

1831
01:41:02,920 --> 01:41:07,240
Speaker 1: Gordon Solely was the anchor. I hope if any of

1832
01:41:07,240 --> 01:41:10,120
Speaker 1: you had a Gordon note, remember the name Gordon Solely,

1833
01:41:11,040 --> 01:41:13,400
Speaker 1: Please let me know I'm not alone and remembering his name,

1834
01:41:13,720 --> 01:41:15,519
Speaker 1: shoot me a note on that.

1835
01:41:16,880 --> 01:41:20,160
Speaker 2: We had. Dusty Rhodes was our big wrestler before.

1836
01:41:20,000 --> 01:41:22,880
Speaker 1: Because you know the ww F which became the WWE

1837
01:41:22,920 --> 01:41:23,920
Speaker 1: after losing that lawsuit.

1838
01:41:23,960 --> 01:41:27,080
Speaker 2: The World Wildlife Fund on a way back in the

1839
01:41:27,160 --> 01:41:28,960
Speaker 2: day was really a collection.

1840
01:41:29,080 --> 01:41:32,000
Speaker 1: They were sort of what US Air did when they

1841
01:41:32,040 --> 01:41:34,759
Speaker 1: became a national airline by taking all these regional airlines

1842
01:41:34,760 --> 01:41:37,519
Speaker 1: and putting them together. The WWF basically put together a

1843
01:41:37,560 --> 01:41:40,800
Speaker 1: whole bunch of regional wrestling circuits and then tried to

1844
01:41:40,840 --> 01:41:43,439
Speaker 1: create a national wrestling circuit. But Florida had its own,

1845
01:41:43,479 --> 01:41:46,160
Speaker 1: and some of the guys ended up in WWF overtime.

1846
01:41:46,280 --> 01:41:48,519
Speaker 1: Some of them ended up in the in the in

1847
01:41:48,560 --> 01:41:52,439
Speaker 1: the the one that was based in Texas. I can't

1848
01:41:52,479 --> 01:41:54,920
Speaker 1: remember what it was the name of it. My apologies

1849
01:41:54,920 --> 01:41:56,720
Speaker 1: for that. There were these five brothers that were sort

1850
01:41:56,760 --> 01:41:59,760
Speaker 1: of the dominant guys in that point is until I

1851
01:41:59,840 --> 01:42:02,479
Speaker 1: was I was way into wrestling, and then at some

1852
01:42:02,600 --> 01:42:06,920
Speaker 1: point like the more stupid a guy, right, the more

1853
01:42:06,960 --> 01:42:09,600
Speaker 1: whole Cogan got involved. It was sort of when I

1854
01:42:09,640 --> 01:42:11,400
Speaker 1: sort of pulled away a little bit, the more it

1855
01:42:11,400 --> 01:42:13,840
Speaker 1: became a soap, I was just sort of out of

1856
01:42:13,920 --> 01:42:16,640
Speaker 1: I was into it, and then it was something like

1857
01:42:16,680 --> 01:42:18,719
Speaker 1: the Hogan era just wasn't my cup of tea.

1858
01:42:18,760 --> 01:42:22,080
Speaker 2: I mean kind of was a Paul Orndorf guy. I'll

1859
01:42:22,120 --> 01:42:22,760
Speaker 2: admit that.

1860
01:42:23,200 --> 01:42:25,920
Speaker 1: I like Jake, this Nike Roberts, and I used to

1861
01:42:25,960 --> 01:42:28,680
Speaker 1: love the whole iron sheet business. I thought that was

1862
01:42:28,760 --> 01:42:32,080
Speaker 1: hilarious on that front. It was never a big Hogan fan.

1863
01:42:33,479 --> 01:42:35,800
Speaker 1: And like I said, that was sort of it was

1864
01:42:35,840 --> 01:42:39,320
Speaker 1: that part of it, you know, who was the you know,

1865
01:42:39,320 --> 01:42:41,000
Speaker 1: and they had all these different wrestling belts and all

1866
01:42:41,040 --> 01:42:41,439
Speaker 1: this stuff.

1867
01:42:42,760 --> 01:42:43,920
Speaker 2: But it was a huge look.

1868
01:42:45,200 --> 01:42:48,080
Speaker 1: If wrestling doesn't go mainstream, we don't get Donald Trump

1869
01:42:48,080 --> 01:42:49,439
Speaker 1: as president, all right.

1870
01:42:49,840 --> 01:42:50,920
Speaker 2: You know, HAULK.

1871
01:42:50,960 --> 01:42:54,920
Speaker 1: Hogan, you know you know, wrestling and Donald Trump really

1872
01:42:54,960 --> 01:42:58,880
Speaker 1: go hand in hand. You manufacture narratives. What you see

1873
01:42:58,920 --> 01:43:02,880
Speaker 1: is not really true, right, you have to manufactureers.

1874
01:43:03,000 --> 01:43:06,400
Speaker 2: I mean it is. I think it's obvious to.

1875
01:43:06,840 --> 01:43:11,960
Speaker 1: Most folks why Donald Trump sort of ended up seeing

1876
01:43:12,040 --> 01:43:17,120
Speaker 1: wrestling as sort of this gateway to talking to America

1877
01:43:17,200 --> 01:43:19,720
Speaker 1: outside the coast. Now, part of it was just sort

1878
01:43:19,760 --> 01:43:22,280
Speaker 1: of you know, there was a snobbery, you know.

1879
01:43:23,680 --> 01:43:24,360
Speaker 2: WWF.

1880
01:43:24,960 --> 01:43:29,200
Speaker 1: Eventually WWE ended up at Trump's hotels in Atlantic City

1881
01:43:29,240 --> 01:43:32,479
Speaker 1: because other arenas wouldn't take them, you know, other places

1882
01:43:32,479 --> 01:43:35,759
Speaker 1: wouldn't do it. And Trump would always was always looking

1883
01:43:35,840 --> 01:43:39,280
Speaker 1: for big events that he couldn't get from Madison Square Garden,

1884
01:43:40,360 --> 01:43:43,160
Speaker 1: and so he helped in many ways, Donald Trump helped

1885
01:43:43,160 --> 01:43:47,880
Speaker 1: the WWE become a bigger deal. So their growth goes

1886
01:43:47,920 --> 01:43:52,880
Speaker 1: hand in hand. And I think you cannot disaggregate the

1887
01:43:52,960 --> 01:43:55,680
Speaker 1: rise of Trump without the importance of wrestling, which then,

1888
01:43:55,680 --> 01:43:58,759
Speaker 1: of course is the importance of Hulcoca on that front.

1889
01:43:58,880 --> 01:44:01,840
Speaker 1: And then the other one was Chuck Mangioni as a

1890
01:44:01,880 --> 01:44:05,759
Speaker 1: French orn player. He was a flugelhorn player and trumpet player.

1891
01:44:06,360 --> 01:44:09,280
Speaker 1: But man, I remember I had that feel so good

1892
01:44:09,360 --> 01:44:13,920
Speaker 1: song on forty five I played it out for whatever reason,

1893
01:44:13,960 --> 01:44:16,360
Speaker 1: because I was constantly trying to mimic it on my

1894
01:44:16,360 --> 01:44:20,280
Speaker 1: French horn. I think I tweeted this. I did learn

1895
01:44:20,280 --> 01:44:22,320
Speaker 1: to play it. I think I played it an octave lower.

1896
01:44:22,680 --> 01:44:24,840
Speaker 1: I don't back in the day, although I think if

1897
01:44:24,880 --> 01:44:29,320
Speaker 1: I really worked on it, someday, you know, in some

1898
01:44:29,320 --> 01:44:32,920
Speaker 1: sort of ice bocket challenge, maybe I'll whip out the French.

1899
01:44:32,640 --> 01:44:35,719
Speaker 3: Horn and put it on YouTube for you guys.

1900
01:44:37,560 --> 01:44:40,479
Speaker 2: Let me get to a few questions the last Chuck asked, Chuck,

1901
01:44:45,160 --> 01:44:48,160
Speaker 2: all right, first question? Even sure to day, I love

1902
01:44:48,200 --> 01:44:49,519
Speaker 2: to show in the long form interviews.

1903
01:44:49,520 --> 01:44:52,639
Speaker 1: I especially appreciate your insightful political analysis probing questions of guests.

1904
01:44:52,720 --> 01:44:55,320
Speaker 1: It is clear at this point that the Trump presidency

1905
01:44:55,520 --> 01:44:58,280
Speaker 1: is damaging the US across a broad spectrum of issue,

1906
01:44:58,280 --> 01:45:00,800
Speaker 1: strength of dollar, global trade, international standing, et cetera.

1907
01:45:01,080 --> 01:45:02,799
Speaker 2: My christim relates to recovery after.

1908
01:45:02,600 --> 01:45:05,160
Speaker 1: Twenty twenty eight, in what areas can we recover relatively

1909
01:45:05,200 --> 01:45:07,839
Speaker 1: quickly with the competent government and where might the damage

1910
01:45:07,840 --> 01:45:10,320
Speaker 1: be longer lasting. I hope the topic of how to

1911
01:45:10,360 --> 01:45:12,519
Speaker 1: best accomplish recovery will be a point of emphasis in

1912
01:45:12,560 --> 01:45:16,920
Speaker 1: the presidential primaries. John s from Los Angeles. Well, look, John,

1913
01:45:16,960 --> 01:45:19,400
Speaker 1: I think in many cases you're you have the point

1914
01:45:19,400 --> 01:45:21,280
Speaker 1: of view half the country, but there's another half of.

1915
01:45:21,280 --> 01:45:24,480
Speaker 2: The country that believes he's.

1916
01:45:26,040 --> 01:45:30,759
Speaker 1: He's improved our economy and that having a more neutral

1917
01:45:30,800 --> 01:45:33,640
Speaker 1: or antagonistic relationship with various nthities around the world is

1918
01:45:33,680 --> 01:45:37,200
Speaker 1: a net positive, not a net negative. I share the

1919
01:45:37,320 --> 01:45:39,800
Speaker 1: idea that I think it's a net negative for us

1920
01:45:39,840 --> 01:45:42,880
Speaker 1: to have antagonistic relationships, for us to sort of raise

1921
01:45:42,960 --> 01:45:43,840
Speaker 1: trade barriers.

1922
01:45:44,360 --> 01:45:46,640
Speaker 3: I think all these tariffs, you know, he's.

1923
01:45:46,439 --> 01:45:49,320
Speaker 1: He's getting his deals, but he's getting his deals by

1924
01:45:49,360 --> 01:45:53,559
Speaker 1: raising taxes on all of us. I mean again, all

1925
01:45:53,600 --> 01:45:57,439
Speaker 1: of these, all this tariff revenue is we're paying it.

1926
01:45:57,439 --> 01:45:59,160
Speaker 2: It is not these other countries.

1927
01:45:58,840 --> 01:46:03,240
Speaker 1: That are paying it. We are paying it. American businesses

1928
01:46:03,240 --> 01:46:06,160
Speaker 1: are paying it, which means you and I are paying it.

1929
01:46:06,240 --> 01:46:10,840
Speaker 1: Consumers are paying this. So and maybe this is if

1930
01:46:11,200 --> 01:46:14,400
Speaker 1: you're happy about extra money coming into the treasury, maybe

1931
01:46:14,400 --> 01:46:16,840
Speaker 1: this is and you want to see the depths go down. Hey,

1932
01:46:16,840 --> 01:46:19,599
Speaker 1: that means you're for higher taxes, because that's what Donald

1933
01:46:19,600 --> 01:46:23,360
Speaker 1: Trump is for. Tariffs are higher taxes. He has raised

1934
01:46:23,400 --> 01:46:28,719
Speaker 1: taxes on everybody across the board ten percent. Most places

1935
01:46:28,760 --> 01:46:31,439
Speaker 1: fifteen percent. In other places, it's an across the board

1936
01:46:31,439 --> 01:46:37,320
Speaker 1: tax site. And you know, if you're on the upper end,

1937
01:46:37,760 --> 01:46:44,160
Speaker 1: it's no big deal. It's inflationary to you. You know,

1938
01:46:44,200 --> 01:46:46,719
Speaker 1: your stock portfolio may even cover the costs and then sign.

1939
01:46:47,880 --> 01:46:52,240
Speaker 1: But if you are your paycheck to paycheck, you're cutting back,

1940
01:46:53,200 --> 01:46:55,000
Speaker 1: You're cutting back on things, and you're going to start

1941
01:46:55,000 --> 01:46:57,040
Speaker 1: seeing this cutback. This is going to be an interesting

1942
01:46:57,080 --> 01:47:00,960
Speaker 1: week of economic data coming up. So look, I think

1943
01:47:01,600 --> 01:47:05,599
Speaker 1: in some ways the economic damage can be repaired quickly.

1944
01:47:05,640 --> 01:47:10,639
Speaker 1: We can lower trade barriers and things like that. It's

1945
01:47:10,680 --> 01:47:14,080
Speaker 1: the intangibles, right, you know, can you trust America as

1946
01:47:14,080 --> 01:47:18,720
Speaker 1: a as a military partner? Can you trust us as

1947
01:47:19,160 --> 01:47:22,599
Speaker 1: a partner in an alliance? I mean we've turned on

1948
01:47:22,840 --> 01:47:28,200
Speaker 1: and off a to Ukraine twice? Now, you know, how

1949
01:47:28,880 --> 01:47:32,599
Speaker 1: how reliable are we going to be on things like that?

1950
01:47:32,840 --> 01:47:35,680
Speaker 1: And I think it is less about the government and

1951
01:47:35,720 --> 01:47:38,439
Speaker 1: more about our electorate, hey, especially if we're going to

1952
01:47:38,520 --> 01:47:43,599
Speaker 1: continue you know we we if we don't re elect.

1953
01:47:43,520 --> 01:47:46,479
Speaker 2: Trump Ism in twenty eight with either JD.

1954
01:47:46,600 --> 01:47:49,559
Speaker 1: Vans, Donaldthum Junior or whatever, then we are doing another

1955
01:47:49,920 --> 01:47:52,679
Speaker 1: ping pong, right, which means where's no certainty for business,

1956
01:47:52,920 --> 01:47:56,080
Speaker 1: there's no certainty for the world and our standing. And

1957
01:47:56,200 --> 01:47:59,040
Speaker 1: so you know, I do believe that we've probably got

1958
01:47:59,080 --> 01:48:01,599
Speaker 1: another decade or two it this. I think this is

1959
01:48:01,640 --> 01:48:06,040
Speaker 1: you know, and and and and until we until we

1960
01:48:06,080 --> 01:48:11,040
Speaker 1: sort of recalibrate the relationship of Congress UH to our

1961
01:48:11,080 --> 01:48:14,280
Speaker 1: government in general, which I think right that the the if.

1962
01:48:14,640 --> 01:48:18,280
Speaker 1: What's singularly the most broken part of government, it's Congress.

1963
01:48:18,320 --> 01:48:23,200
Speaker 1: It's the legislative branch. And until that's fixed, we can't

1964
01:48:23,200 --> 01:48:27,320
Speaker 1: deal with anything else. Right, everything else that's out of

1965
01:48:27,360 --> 01:48:32,679
Speaker 1: whack is a derivative of of weak Congress UH, multiple

1966
01:48:32,680 --> 01:48:38,000
Speaker 1: speakers handing too much power to their presidents of choice

1967
01:48:38,439 --> 01:48:41,320
Speaker 1: and then only thinking about accountability when they don't like

1968
01:48:41,400 --> 01:48:41,960
Speaker 1: the president.

1969
01:48:43,880 --> 01:48:46,560
Speaker 3: It's a huge it's a huge issue.

1970
01:48:46,240 --> 01:48:50,200
Speaker 1: On that front. So look, I think this is a generation.

1971
01:48:51,920 --> 01:48:54,120
Speaker 1: I don't think this gets fixed in four years, in

1972
01:48:54,200 --> 01:48:58,559
Speaker 1: eight years. I think it's a generation. It's it's when

1973
01:48:58,600 --> 01:49:03,800
Speaker 1: we have two straight presidential terms from different parties that

1974
01:49:03,840 --> 01:49:08,360
Speaker 1: have the same north star right on national security, same

1975
01:49:08,400 --> 01:49:12,439
Speaker 1: north star on trade, same north star. You know, until

1976
01:49:12,479 --> 01:49:15,680
Speaker 1: we're there, I don't think any of this recovers. And

1977
01:49:15,800 --> 01:49:17,720
Speaker 1: right now we're not there because we're a country that's

1978
01:49:17,760 --> 01:49:20,799
Speaker 1: pretty pretty severely divided on some of those issues.

1979
01:49:21,040 --> 01:49:23,480
Speaker 2: Next question comes from Patrick C. From San Francisco.

1980
01:49:24,000 --> 01:49:25,920
Speaker 1: I've really enjoyed listening to the podcast over the years.

1981
01:49:25,920 --> 01:49:27,479
Speaker 1: I wanted to submit a question. Do you think Democrats

1982
01:49:27,520 --> 01:49:30,040
Speaker 1: can learn anything from the history of the Sewer Socialists

1983
01:49:30,040 --> 01:49:32,040
Speaker 1: in Milwaukee as they try to rebuild a party in

1984
01:49:32,080 --> 01:49:33,840
Speaker 1: the coming years. Thanks and can't wait to hear from

1985
01:49:34,160 --> 01:49:37,360
Speaker 1: here your NFL picks on Tony's show in the fall.

1986
01:49:37,920 --> 01:49:41,519
Speaker 1: Thank you me and the monkey. You know, there's nothing

1987
01:49:41,520 --> 01:49:43,759
Speaker 1: more humbling than trying to pick football games up against

1988
01:49:43,760 --> 01:49:44,200
Speaker 1: a monkey.

1989
01:49:45,000 --> 01:49:46,879
Speaker 2: Thank you for the great work over the years. Patrick,

1990
01:49:47,360 --> 01:49:48,680
Speaker 2: appreciate the question. On that.

1991
01:49:49,560 --> 01:49:53,320
Speaker 1: Look, you bring up an important point, which is cities

1992
01:49:53,320 --> 01:49:58,640
Speaker 1: of toyed. You know, it's not uncommon for urban populations,

1993
01:49:58,680 --> 01:50:02,000
Speaker 1: and especially our urban centers, you know, have seen radical

1994
01:50:02,120 --> 01:50:10,280
Speaker 1: sort of radical upsides and radical downsides, right, everybody wanting

1995
01:50:10,280 --> 01:50:13,439
Speaker 1: to invest in downtowns and sending everybody fleeing downtowns. Right,

1996
01:50:13,479 --> 01:50:16,160
Speaker 1: and it's almost almost like an accordion with the suburbs.

1997
01:50:16,200 --> 01:50:16,360
Speaker 3: Right.

1998
01:50:16,760 --> 01:50:20,120
Speaker 1: You know, about every twenty five years there's a focus

1999
01:50:20,160 --> 01:50:23,120
Speaker 1: on everything needs to be downtown and then also new

2000
01:50:23,160 --> 01:50:24,920
Speaker 1: everybody needs to go to the suburbs or of the

2001
01:50:24,920 --> 01:50:27,200
Speaker 1: outer excerpts, right, And so I think we're in one

2002
01:50:27,200 --> 01:50:30,800
Speaker 1: of those accordions where people, you know, with COVID, people

2003
01:50:30,840 --> 01:50:33,880
Speaker 1: started fleeing downtowns. And then of course what comes with that.

2004
01:50:33,880 --> 01:50:36,920
Speaker 1: That's when urban decay begins, When when more people want

2005
01:50:36,960 --> 01:50:40,879
Speaker 1: to live in urban centers, that's when urban areas flourished.

2006
01:50:40,880 --> 01:50:43,519
Speaker 1: That's when there's more investment, a lot of its private investment,

2007
01:50:43,560 --> 01:50:50,040
Speaker 1: et cetera. And you know, I'm one of those who thinks, look,

2008
01:50:51,240 --> 01:50:56,639
Speaker 1: it's healthy whenever whenever there's an you get an outlier

2009
01:50:57,000 --> 01:50:59,519
Speaker 1: an election once a generation that it's sort of a

2010
01:51:00,040 --> 01:51:05,559
Speaker 1: calibrates things right, it's its own check and balance. It

2011
01:51:05,680 --> 01:51:08,599
Speaker 1: is usually not something that what's good for cities usually

2012
01:51:08,640 --> 01:51:11,479
Speaker 1: isn't very transferable. There's a reason why no mayor of

2013
01:51:11,520 --> 01:51:13,240
Speaker 1: New York City has ever won state wide in New York.

2014
01:51:13,280 --> 01:51:15,479
Speaker 1: There's a reason that Edrendell was the first mayor of

2015
01:51:15,520 --> 01:51:18,960
Speaker 1: Philadelphia ever wins state wide in Pennsylvania. I think to

2016
01:51:19,000 --> 01:51:21,120
Speaker 1: this day there's still nobody that's been mayor of Chicago

2017
01:51:21,160 --> 01:51:22,519
Speaker 1: and got an elected state wide. And all of that,

2018
01:51:23,080 --> 01:51:25,160
Speaker 1: I can tell you, nobody elected mayor of.

2019
01:51:25,200 --> 01:51:27,160
Speaker 3: Miami has been able to get elected statewide.

2020
01:51:27,280 --> 01:51:28,440
Speaker 2: There's always been.

2021
01:51:29,760 --> 01:51:31,559
Speaker 1: By the way, a couple of mayors of Los Angeles

2022
01:51:31,560 --> 01:51:35,920
Speaker 1: have tried to win state wide in California. Gavin Newsom

2023
01:51:35,960 --> 01:51:36,920
Speaker 1: I believe might.

2024
01:51:36,800 --> 01:51:40,680
Speaker 2: Be the first San Francisco mayor to win statewide as

2025
01:51:40,720 --> 01:51:42,520
Speaker 2: governor in California.

2026
01:51:42,880 --> 01:51:45,240
Speaker 1: Pete Wilson was the mayor of San Diego before he

2027
01:51:45,320 --> 01:51:47,440
Speaker 1: won statewide as governor in California.

2028
01:51:47,520 --> 01:51:52,800
Speaker 2: So, you know, in general, you know, what happens.

2029
01:51:52,520 --> 01:51:54,880
Speaker 1: In cities kind of stays in cities, and it's possible

2030
01:51:55,080 --> 01:52:00,479
Speaker 1: that that and in some ways, right, the lesson on

2031
01:52:00,560 --> 01:52:04,400
Speaker 1: mom Donnie is more about, hey, you've got to And

2032
01:52:04,479 --> 01:52:08,519
Speaker 1: the reason why socialism can flourish in a city is

2033
01:52:08,520 --> 01:52:11,640
Speaker 1: that what people expect from their mayors are services.

2034
01:52:12,600 --> 01:52:12,840
Speaker 2: You know.

2035
01:52:12,920 --> 01:52:15,599
Speaker 1: They don't want a light touch from city. They want

2036
01:52:15,600 --> 01:52:17,920
Speaker 1: to you know, on some things. You better be on

2037
01:52:17,960 --> 01:52:19,519
Speaker 1: top of the garbage, You better be on top of

2038
01:52:19,560 --> 01:52:21,479
Speaker 1: law and order. You better be on top of these things.

2039
01:52:21,520 --> 01:52:21,680
Speaker 3: Right.

2040
01:52:21,960 --> 01:52:23,800
Speaker 1: We don't want we want to light touch from our

2041
01:52:23,800 --> 01:52:26,240
Speaker 1: federal government. We want to light touch from our state government.

2042
01:52:26,439 --> 01:52:28,959
Speaker 1: We don't necessarily want to light touch from our city governments.

2043
01:52:29,800 --> 01:52:31,519
Speaker 1: We may want to light touch from our county government.

2044
01:52:31,840 --> 01:52:34,000
Speaker 1: But when you live in a city, a dense city,

2045
01:52:34,400 --> 01:52:37,240
Speaker 1: in some ways you want more order, which may explain

2046
01:52:37,280 --> 01:52:39,439
Speaker 1: why voters are a little more city voters are a

2047
01:52:39,439 --> 01:52:44,280
Speaker 1: little more open minded to more government control of certain

2048
01:52:44,439 --> 01:52:49,759
Speaker 1: entities in there. So I think it's an important reminder

2049
01:52:50,000 --> 01:52:53,160
Speaker 1: that you know, we've seen we've seen socialists when mayors

2050
01:52:53,240 --> 01:52:59,080
Speaker 1: races before Burlington, Vermont once elected a socialist mayor.

2051
01:52:59,120 --> 01:53:00,960
Speaker 3: His name was Bernie.

2052
01:53:02,240 --> 01:53:04,800
Speaker 1: Let me move on to the next question. This one

2053
01:53:04,800 --> 01:53:06,439
Speaker 1: comes from Andrew de Good morning. I just wanted to say,

2054
01:53:06,439 --> 01:53:09,120
Speaker 1: great job with the cameos on Heads of State. I

2055
01:53:09,160 --> 01:53:11,760
Speaker 1: was participating in filming all that, huge fan thanks for

2056
01:53:11,800 --> 01:53:13,680
Speaker 1: all you do well. I never got to meet I

2057
01:53:13,680 --> 01:53:16,240
Speaker 1: never got to meet John Cena, so that's a bummer

2058
01:53:16,920 --> 01:53:17,479
Speaker 1: on that front.

2059
01:53:17,560 --> 01:53:19,679
Speaker 2: I just you know, I did my job in front

2060
01:53:19,680 --> 01:53:21,679
Speaker 2: of a in front of a green screen.

2061
01:53:21,720 --> 01:53:25,200
Speaker 1: I got my lines. There were not every line made

2062
01:53:25,240 --> 01:53:27,639
Speaker 1: it right. There's some stuff on the cutting room floor,

2063
01:53:28,960 --> 01:53:33,040
Speaker 1: but it in case you're wondering I had, I'd only

2064
01:53:33,080 --> 01:53:36,960
Speaker 1: done one other cameo early on I Meet the Press,

2065
01:53:37,040 --> 01:53:39,240
Speaker 1: and then I stopped doing them. While I meet the

2066
01:53:39,240 --> 01:53:40,599
Speaker 1: press for a while, I did a thing on House

2067
01:53:40,640 --> 01:53:45,800
Speaker 1: of cards way back when, and I actually was concerned

2068
01:53:45,840 --> 01:53:49,519
Speaker 1: about the look of fictional news versus that, and so

2069
01:53:50,320 --> 01:53:52,360
Speaker 1: I thought, you know, no more not while I met

2070
01:53:52,360 --> 01:53:54,800
Speaker 1: Meet the Press, I'm not going to do that. And

2071
01:53:55,080 --> 01:53:57,599
Speaker 1: literally after I let Meet the Press, I was more open,

2072
01:53:57,920 --> 01:53:59,720
Speaker 1: you know, to doing these And so this was my

2073
01:53:59,760 --> 01:54:02,599
Speaker 1: first one post to meet the press. I guess you know,

2074
01:54:03,280 --> 01:54:06,040
Speaker 1: I got my SAG card right, you know, so hey.

2075
01:54:06,000 --> 01:54:09,519
Speaker 2: Sign me up. I'll work for scale. But yes, it

2076
01:54:09,560 --> 01:54:10,000
Speaker 2: was a good time.

2077
01:54:10,040 --> 01:54:12,840
Speaker 1: Next question comes from Robert Hhr in the context of Iran,

2078
01:54:13,160 --> 01:54:15,439
Speaker 1: Why are we so fixated fixated on their ability to

2079
01:54:15,479 --> 01:54:17,719
Speaker 1: produce their own nuke? Given the no holds barred period

2080
01:54:17,800 --> 01:54:19,320
Speaker 1: in history that we seem to be entering. Is it

2081
01:54:19,320 --> 01:54:20,960
Speaker 1: really out of the question that a rogue state in

2082
01:54:21,000 --> 01:54:23,400
Speaker 1: North Korea would not provide a nuke to Iran? And

2083
01:54:23,400 --> 01:54:25,240
Speaker 1: if Iran did acquire a nuke from a third party,

2084
01:54:25,240 --> 01:54:26,680
Speaker 1: would it really be that easy for the US to

2085
01:54:26,680 --> 01:54:27,479
Speaker 1: figure out the source?

2086
01:54:27,760 --> 01:54:29,200
Speaker 3: Been listening for years? Thanks for all you do.

2087
01:54:29,800 --> 01:54:32,480
Speaker 1: Uh, it's a fair point, and not only that, considering

2088
01:54:33,480 --> 01:54:36,160
Speaker 1: the zone of protection that North Korea feels like it

2089
01:54:36,200 --> 01:54:42,400
Speaker 1: has because it is considered a nuclear power. If you're

2090
01:54:42,440 --> 01:54:44,400
Speaker 1: not if you don't have a nuclear weapon, I understand

2091
01:54:44,400 --> 01:54:46,840
Speaker 1: why you may aspire to one, because you may believe

2092
01:54:46,880 --> 01:54:49,720
Speaker 1: it provides you an extra your regime, an extra layer

2093
01:54:49,800 --> 01:54:52,960
Speaker 1: of protection. If there was no nuclear weapon with Kim

2094
01:54:53,040 --> 01:54:55,560
Speaker 1: Jong un, that family would have been ousted out of

2095
01:54:55,600 --> 01:54:56,560
Speaker 1: North Korea.

2096
01:54:56,680 --> 01:54:58,560
Speaker 3: A decade ago, maybe two decades ago.

2097
01:55:00,120 --> 01:55:02,880
Speaker 1: So and you're not wrong. And by the way, it's

2098
01:55:03,400 --> 01:55:07,240
Speaker 1: most of this. It's a Pakistani scientist that seemed to

2099
01:55:07,440 --> 01:55:09,920
Speaker 1: nuclear scientists, that seemed aq Con was his name, that

2100
01:55:09,960 --> 01:55:11,960
Speaker 1: seemed to doesn't take much right.

2101
01:55:12,080 --> 01:55:12,280
Speaker 3: You know.

2102
01:55:12,600 --> 01:55:16,200
Speaker 1: This is why you know I was such a I'm

2103
01:55:16,240 --> 01:55:18,680
Speaker 1: a sort of I pooh pooh this idea that we

2104
01:55:18,720 --> 01:55:22,480
Speaker 1: can somehow restrict our technology from China ever getting it.

2105
01:55:24,440 --> 01:55:29,640
Speaker 1: Everything leaks, everything gets stolen, everything gets You know, you're

2106
01:55:29,680 --> 01:55:33,320
Speaker 1: not going to keep a secret. This is why nine

2107
01:55:33,360 --> 01:55:36,440
Speaker 1: percent of conspiracy theories aren't true, because there are no

2108
01:55:36,560 --> 01:55:38,800
Speaker 1: secrets that could get held for that long.

2109
01:55:39,320 --> 01:55:39,600
Speaker 2: You know.

2110
01:55:40,760 --> 01:55:43,640
Speaker 1: It's why on the JFK conspiracy, the only secret I

2111
01:55:43,640 --> 01:55:45,640
Speaker 1: believe that it's true is the CIA didn't want to

2112
01:55:45,680 --> 01:55:50,400
Speaker 1: admit that it had Oswald and his radar, and they

2113
01:55:50,480 --> 01:55:54,240
Speaker 1: panicked that they out of fear that the public would

2114
01:55:54,240 --> 01:55:57,240
Speaker 1: think they were involved, that they weren't. That that's always

2115
01:55:57,240 --> 01:55:57,800
Speaker 1: been where I.

2116
01:55:57,760 --> 01:55:59,960
Speaker 2: Believe where we are on that. The point is that.

2117
01:56:00,440 --> 01:56:03,280
Speaker 1: If it was anything more nefarious, I'm sorry, I don't

2118
01:56:03,280 --> 01:56:06,440
Speaker 1: believe it would It could be without I just don't.

2119
01:56:07,760 --> 01:56:09,600
Speaker 1: Maybe someday I'll be proven wrong, and if I do,

2120
01:56:09,680 --> 01:56:12,520
Speaker 1: I will come on with my full maa coopo and.

2121
01:56:12,440 --> 01:56:14,919
Speaker 2: At that point saying I don't know what to believe anymore.

2122
01:56:15,360 --> 01:56:18,120
Speaker 2: But I'm not at that point, so.

2123
01:56:19,720 --> 01:56:24,280
Speaker 1: Uh, you know, look, I I just think that that, uh,

2124
01:56:25,120 --> 01:56:30,320
Speaker 1: when it comes to when it comes to, uh, this

2125
01:56:30,520 --> 01:56:34,400
Speaker 1: issue of being able to restrict like restrict our AI technology,

2126
01:56:34,440 --> 01:56:40,080
Speaker 1: restrict nuclear technology, you're just going to create more demand

2127
01:56:40,120 --> 01:56:42,160
Speaker 1: the more you try to restrict it, and you'll create

2128
01:56:42,200 --> 01:56:47,200
Speaker 1: more ingenious ways to leak it or get it or

2129
01:56:47,400 --> 01:56:51,160
Speaker 1: maybe you find your or the you know, necessity is

2130
01:56:51,680 --> 01:56:54,680
Speaker 1: the mother of all invention, right, you will suddenly feel

2131
01:56:54,720 --> 01:56:56,480
Speaker 1: the need. And this is why it looks like these

2132
01:56:56,560 --> 01:57:00,000
Speaker 1: Chinese AI models are keeping right up. Either they've gotten

2133
01:57:00,240 --> 01:57:02,120
Speaker 1: a hold of some of these chips through the black

2134
01:57:02,160 --> 01:57:04,960
Speaker 1: marketer as we found out, or they've been able to

2135
01:57:07,320 --> 01:57:10,800
Speaker 1: duplicate some of the technology on their own. Either way,

2136
01:57:11,480 --> 01:57:13,320
Speaker 1: it is a reminder that if you think you can

2137
01:57:13,600 --> 01:57:15,880
Speaker 1: restrict that stuff, you can't.

2138
01:57:16,880 --> 01:57:20,880
Speaker 3: And I think nuclear science is another one on that front.

2139
01:57:22,360 --> 01:57:25,760
Speaker 1: All right, I think I'm gonna leave it there today.

2140
01:57:25,760 --> 01:57:27,920
Speaker 1: By the way, I'm taping here on a Sunday evening.

2141
01:57:27,960 --> 01:57:30,360
Speaker 1: Today is one of my favorite days. It was Hall

2142
01:57:30,400 --> 01:57:33,600
Speaker 1: of Fame induction day, Baseball Hall of Fame. The Baseball

2143
01:57:33,600 --> 01:57:35,520
Speaker 1: of Fame, to me, is the most honest of all

2144
01:57:35,520 --> 01:57:38,920
Speaker 1: the Hall of Fames. It seems like everybody gets in

2145
01:57:38,920 --> 01:57:42,160
Speaker 1: the Basketball Hall of Fame, I say everybody, but there's there.

2146
01:57:42,080 --> 01:57:45,760
Speaker 2: Seems to be less of a you know it.

2147
01:57:45,760 --> 01:57:48,760
Speaker 1: It is the hall of the really really good and

2148
01:57:48,840 --> 01:57:51,640
Speaker 1: the amazing, and there's no distinction between the amazing and

2149
01:57:51,680 --> 01:57:54,760
Speaker 1: the hall really good. Baseball has always felt like it

2150
01:57:54,880 --> 01:57:57,760
Speaker 1: is still kept. It is still the Baseball Hall of

2151
01:57:57,760 --> 01:57:59,480
Speaker 1: Fame is still hard to get into. I think the

2152
01:57:59,560 --> 01:58:05,200
Speaker 1: NFL Hall or the Pro Football Offense connected the NFL technically, uh.

2153
01:58:05,720 --> 01:58:07,840
Speaker 1: I think the members that are there belong there for

2154
01:58:07,880 --> 01:58:11,400
Speaker 1: the most part. I think their voting procedure is so

2155
01:58:11,520 --> 01:58:15,480
Speaker 1: opaque that nobody quite knows how it works, and in fact,

2156
01:58:15,480 --> 01:58:18,240
Speaker 1: the lack of transparency. I think there are people that

2157
01:58:18,280 --> 01:58:21,560
Speaker 1: are not quote unquote. They don't really care about the

2158
01:58:21,560 --> 01:58:23,480
Speaker 1: first ballot part of things. They make it a really

2159
01:58:23,520 --> 01:58:28,440
Speaker 1: high threshold on first ballot stuff. And in fact, you know,

2160
01:58:28,480 --> 01:58:30,360
Speaker 1: I do wish these halls of fame. You know, I

2161
01:58:30,360 --> 01:58:33,800
Speaker 1: think first ballot means something like, right, that's your a list,

2162
01:58:34,160 --> 01:58:37,680
Speaker 1: that's your tier one. Anybody that's not first ballot, still

2163
01:58:37,720 --> 01:58:41,000
Speaker 1: an amazing player still belongs there. Right, But there is

2164
01:58:41,040 --> 01:58:43,240
Speaker 1: a distinction truk first ballot. And we had two first

2165
01:58:43,240 --> 01:58:44,360
Speaker 1: balladers today, right C. C.

2166
01:58:44,480 --> 01:58:46,640
Speaker 3: Sabathia in each row.

2167
01:58:46,840 --> 01:58:49,120
Speaker 1: And I will just say this, Eachi Row is the

2168
01:58:49,120 --> 01:58:52,600
Speaker 1: guy who's excited about the most I have each row.

2169
01:58:52,640 --> 01:58:57,960
Speaker 1: Has been probably my favorite player that I never had

2170
01:58:57,960 --> 01:58:59,680
Speaker 1: a root for, right, I never had a reason to

2171
01:58:59,760 --> 01:59:02,280
Speaker 1: root for. You know, he wasn't on one of my teams.

2172
01:59:02,560 --> 01:59:04,840
Speaker 1: I was just always amazed at watching him. I went

2173
01:59:04,880 --> 01:59:06,920
Speaker 1: out of my way to go watch.

2174
01:59:06,720 --> 01:59:09,000
Speaker 3: Each hero play baseball because that's what he did.

2175
01:59:09,080 --> 01:59:11,160
Speaker 2: He played baseball, and he played it extraordinarily.

2176
01:59:11,280 --> 01:59:14,080
Speaker 1: It wasn't just a he wasn't just a singles hitter

2177
01:59:14,120 --> 01:59:16,240
Speaker 1: or an average hitter, or a fast guy or a

2178
01:59:16,240 --> 01:59:17,919
Speaker 1: great He just played baseball.

2179
01:59:18,480 --> 01:59:20,000
Speaker 2: He did whatever he had to do.

2180
01:59:20,080 --> 01:59:22,480
Speaker 1: And if I love the stories about him that if

2181
01:59:22,480 --> 01:59:23,840
Speaker 1: he wanted to hit thirty home runs a year, he

2182
01:59:23,840 --> 01:59:24,400
Speaker 1: probably could have.

2183
01:59:25,000 --> 01:59:25,120
Speaker 3: Right.

2184
01:59:25,160 --> 01:59:27,920
Speaker 1: Wade Bog supposedly to do the same thing in batting practice.

2185
01:59:27,920 --> 01:59:29,400
Speaker 1: If he wanted hit home runs, he could hit him

2186
01:59:29,400 --> 01:59:29,760
Speaker 1: all day.

2187
01:59:30,040 --> 01:59:30,760
Speaker 2: He just chose to.

2188
01:59:30,880 --> 01:59:32,280
Speaker 3: He liked the higher batting average.

2189
01:59:33,040 --> 01:59:35,560
Speaker 1: My guess is if Wade Box came up today, he'd

2190
01:59:35,600 --> 01:59:38,920
Speaker 1: never hit over three twenty because they would have conditioned

2191
01:59:39,000 --> 01:59:42,680
Speaker 1: him to do launch angle and to you know, concentrate

2192
01:59:42,720 --> 01:59:45,680
Speaker 1: on having more power. Perhaps if each hero grew up

2193
01:59:46,280 --> 01:59:49,680
Speaker 1: playing baseball in America or the Dominican and not growing

2194
01:59:49,720 --> 01:59:53,440
Speaker 1: up playing baseball in Japan, he too would have would

2195
01:59:53,480 --> 01:59:56,120
Speaker 1: have been would have succumbed to the sort of the

2196
01:59:56,160 --> 02:00:01,520
Speaker 1: new way of doing things. But I think Eachi Rows.

2197
02:00:03,600 --> 02:00:04,200
Speaker 2: I could make.

2198
02:00:05,720 --> 02:00:07,400
Speaker 1: I'd put him in the twenty best of all time

2199
02:00:08,480 --> 02:00:10,360
Speaker 1: and maybe try to figure out how to get him

2200
02:00:10,360 --> 02:00:11,880
Speaker 1: into a top ten. I don't know if I could

2201
02:00:11,880 --> 02:00:13,800
Speaker 1: get him into the top ten, but I think his

2202
02:00:13,880 --> 02:00:17,560
Speaker 1: hits in Japan on account. I don't just say that

2203
02:00:17,560 --> 02:00:19,200
Speaker 1: because I don't want Pete Rose to be the hit king.

2204
02:00:19,480 --> 02:00:22,840
Speaker 1: I just think that if you know Eachi Row, it's

2205
02:00:22,880 --> 02:00:25,320
Speaker 1: amazing he got three thousand hits after the age of

2206
02:00:25,360 --> 02:00:28,240
Speaker 1: twenty seven. Right, he and Pte Rose only guys I

2207
02:00:28,240 --> 02:00:32,880
Speaker 1: think to do that. That's pretty impressive, which means he's

2208
02:00:32,920 --> 02:00:36,880
Speaker 1: at least the co hit king with Pete Rose. But

2209
02:00:37,200 --> 02:00:39,000
Speaker 1: for what it's worth, I love the Hall of Fame

2210
02:00:39,000 --> 02:00:44,040
Speaker 1: because it's my favorite argument. They're all subjective, they're great arguments. Ultimately,

2211
02:00:44,080 --> 02:00:47,800
Speaker 1: I come down on the word fame. It's a hall

2212
02:00:47,840 --> 02:00:50,680
Speaker 1: of fame. I went the most famous people connected with

2213
02:00:50,720 --> 02:00:54,560
Speaker 1: the game to be represented. When I go to said museum,

2214
02:00:54,920 --> 02:00:57,280
Speaker 1: hard stop. You know what that means.

2215
02:00:58,280 --> 02:01:00,400
Speaker 2: Hurry up and put Clemmens and Bond in the Hall

2216
02:01:00,440 --> 02:01:00,720
Speaker 2: of Fame.

2217
02:01:00,800 --> 02:01:03,360
Speaker 1: Let's not wait till those guys die. At this point,

2218
02:01:03,440 --> 02:01:09,520
Speaker 1: it seems absurd, all right? With that, I've had a

2219
02:01:09,560 --> 02:01:12,640
Speaker 1: couple more episodes coming for you this week. My working

2220
02:01:12,720 --> 02:01:15,160
Speaker 1: vacation turns to more work as the week wears on.

2221
02:01:15,800 --> 02:01:17,960
Speaker 3: I look forward to that, and I look forward to

2222
02:01:18,040 --> 02:01:18,680
Speaker 3: uploading again.