Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated:
1
00:00:05,000 --> 00:00:08,000
Pon el reloj a correr.
2
00:00:39,000 --> 00:00:46,000
Lo agradezco. Muchas gracias.
3
00:00:43,000 --> 00:00:46,000
Gracias, gente.
4
00:00:46,000 --> 00:00:52,000
Muchas gracias.
5
00:00:49,000 --> 00:00:54,000
Gracias, señoras y señores.
6
00:00:52,000 --> 00:00:57,000
Te doy la bienvenida.
7
00:00:54,000 --> 00:00:57,000
Vale.
8
00:00:58,000 --> 00:01:05,000
Muy bien. Muchas gracias. Yo
9
00:01:02,000 --> 00:01:07,000
Lo veo en tus ojos. Sé por qué.
10
00:01:05,000 --> 00:01:09,000
Hoy estás feliz.
11
00:01:07,000 --> 00:01:13,000
Megan Markle y el príncipe Harry se van
12
00:01:09,000 --> 00:01:13,000
de vuelta a Inglaterra.
13
00:01:16,000 --> 00:01:21,000
Te digo que el hielo no está para juegos.
14
00:01:18,000 --> 00:01:21,000
¿Eh?
15
00:01:21,000 --> 00:01:25,000
No es eso. Fue idea de Harry. Él...
16
00:01:23,000 --> 00:01:29,000
solo quiere estar más cerca de la familia
17
00:01:25,000 --> 00:01:29,000
eso no le está hablando a él.
18
00:01:29,000 --> 00:01:34,000
Y
19
00:01:31,000 --> 00:01:35,000
Creo que
20
00:01:34,000 --> 00:01:37,000
quizás saliendo justo a tiempo. No lo sé
21
00:01:35,000 --> 00:01:39,000
¿Viste esto esta semana? Chacho,
22
00:01:37,000 --> 00:01:42,000
Grandes noticias. La deuda nacional ahora tiene
23
00:01:39,000 --> 00:01:45,000
superó los 40 billones y no en el...
24
00:01:42,000 --> 00:01:48,000
dirección correcta. Este es el único
25
00:01:45,000 --> 00:01:50,000
esas cosas que hacemos de manera bipartidista. Tú
26
00:01:48,000 --> 00:01:52,000
Ya sabes, simplemente gastamos dinero que no tenemos.
27
00:01:50,000 --> 00:01:55,000
Las dos partes están súper metidas en eso. Tiene...
28
00:01:52,000 --> 00:01:59,000
se ha duplicado en 10 años y se ha cuadruplicado en
29
00:01:55,000 --> 00:02:02,000
los últimos 20. Como Russell Crowe.
30
00:01:59,000 --> 00:02:05,000
Me encanta Russell Crowe.
31
00:02:02,000 --> 00:02:07,000
Nosotros sí.
32
00:02:05,000 --> 00:02:08,000
Pero recuerda, no te vuelvas loco por eso.
33
00:02:07,000 --> 00:02:12,000
la deuda solo importa cuando la
34
00:02:08,000 --> 00:02:16,000
Los demócratas están en el poder.
35
00:02:12,000 --> 00:02:18,000
Eh, hablando
36
00:02:16,000 --> 00:02:20,000
Hablando de eso,
37
00:02:18,000 --> 00:02:22,000
Tenemos un nuevo fiscal general. ¿Has...
38
00:02:20,000 --> 00:02:23,000
¿Has visto a este tipo, Todd Blanch? Él estuvo en...
39
00:02:22,000 --> 00:02:25,000
Encuentro con la prensa esta semana. Le preguntaron
40
00:02:23,000 --> 00:02:28,000
si él
41
00:02:25,000 --> 00:02:30,000
me negaría a, eh, hacer una promesa de que
42
00:02:28,000 --> 00:02:33,000
actuaría de forma independiente del
43
00:02:30,000 --> 00:02:35,000
La Casa Blanca y él se negó. Eh, esto es...
44
00:02:33,000 --> 00:02:37,000
más o menos lo principal, el abogado
45
00:02:35,000 --> 00:02:39,000
lo que se supone que debe hacer un general.
46
00:02:37,000 --> 00:02:41,000
También me pareció súper preocupante.
47
00:02:39,000 --> 00:02:44,000
que cada vez que él usaba la frase el
48
00:02:41,000 --> 00:02:47,000
ley, usó comillas con los dedos. Yo, yo eso es que...
49
00:02:44,000 --> 00:02:50,000
¿solo yo?
50
00:02:47,000 --> 00:02:53,000
Pero déjame decirte,
51
00:02:50,000 --> 00:02:55,000
El partido Demócrata tiene un nuevo ataque.
52
00:02:53,000 --> 00:03:00,000
perro y se le da muy bien. Senador
53
00:02:55,000 --> 00:03:02,000
John Oaf de, eh, Georgia. Eh, bueno, él es...
54
00:03:00,000 --> 00:03:04,000
Tengo fanáticos aquí.
55
00:03:02,000 --> 00:03:05,000
Él, eh, realmente se fue con todo contra Trump esta vez.
56
00:03:04,000 --> 00:03:07,000
semana y en medio de ella él
57
00:03:05,000 --> 00:03:09,000
mencionó a Natalie Harp. Esa es la joven
58
00:03:07,000 --> 00:03:12,000
mujer que trabajaba para Trump cuando él llegó al poder
59
00:03:09,000 --> 00:03:15,000
el carrito de la comida. Ella vino con él
60
00:03:12,000 --> 00:03:17,000
afuera del avión.
61
00:03:15,000 --> 00:03:19,000
Así que se han dicho todo tipo de rumores.
62
00:03:17,000 --> 00:03:21,000
lo que está pasando ahora con su relación.
63
00:03:19,000 --> 00:03:27,000
Bueno, déjenme contarles. Me demandaron.
64
00:03:21,000 --> 00:03:27,000
sobre esto una vez. No, no del orangután.
65
00:03:27,000 --> 00:03:32,000
No, esto fue hace solo un par de años.
66
00:03:28,000 --> 00:03:37,000
Hace tiempo. Laura Loomer me demandó. Bueno, gané.
67
00:03:32,000 --> 00:03:37,000
Por cierto. Pero bueno, está bien.
68
00:03:38,000 --> 00:03:42,000
es que, pues, es caro y desagradable para...
69
00:03:40,000 --> 00:03:46,000
que te demanden. Así que, ¿sabes qué? Me aguanté uno.
70
00:03:42,000 --> 00:03:49,000
por el equipo en esto. Tú te encargas.
71
00:03:46,000 --> 00:03:52,000
Todo lo que voy a decir.
72
00:03:49,000 --> 00:03:57,000
Ahora, Natalie es como la de Trump.
73
00:03:52,000 --> 00:03:57,000
empleado de apoyo emocional. Eso es cierto.
74
00:03:58,000 --> 00:04:02,000
Pues ella viaja con él.
75
00:04:00,000 --> 00:04:04,000
por todos lados y ella lleva una portátil
76
00:04:02,000 --> 00:04:06,000
impresora inalámbrica para que pueda imprimir
77
00:04:04,000 --> 00:04:08,000
Artículo halagador. Trump ya está mayor.
78
00:04:06,000 --> 00:04:14,000
escuela. Él quiere copias impresas de la
79
00:04:08,000 --> 00:04:14,000
le soplaron humo en el culo. Eh, pero...
80
00:04:17,000 --> 00:04:22,000
pero eso es cosa de él. No sé por qué tú...
81
00:04:20,000 --> 00:04:24,000
tengo que ir tras ella. Ya sabes, ella
82
00:04:22,000 --> 00:04:26,000
parece súper entregada a su trabajo.
83
00:04:24,000 --> 00:04:28,000
Nunca se toma un día libre. A veces ella está...
84
00:04:26,000 --> 00:04:30,000
trabaja tanto que se le olvida comer y
85
00:04:28,000 --> 00:04:32,000
dormir. Y ahora todos en América están
86
00:04:30,000 --> 00:04:35,000
diciendo lo mismo. ¿Por qué no puedo conseguir un...
87
00:04:32,000 --> 00:04:39,000
¿Quién millennial trabaja así?
88
00:04:35,000 --> 00:04:39,000
Sabes, y...
89
00:04:39,000 --> 00:04:43,000
hay, ya sabes, un poco más en lo que es el/la
90
00:04:41,000 --> 00:04:45,000
Historia. Ella tuvo cáncer de huesos en sus veintitantos.
91
00:04:43,000 --> 00:04:47,000
Le gusta Trump porque aceleró las cosas.
92
00:04:45,000 --> 00:04:49,000
tratamientos experimentales que él
93
00:04:47,000 --> 00:04:50,000
cree que le ayudó. Pero, ya sabes, en...
94
00:04:49,000 --> 00:04:53,000
América, es como, ah, qué bien.
95
00:04:50,000 --> 00:04:56,000
alguien nuevo a quien odiar.
96
00:04:53,000 --> 00:04:58,000
Eh, Trump nos conoció, hicimos un podcast sobre eso.
97
00:04:56,000 --> 00:05:00,000
Michael Cohen esta semana. Recuerda.
98
00:04:58,000 --> 00:05:02,000
¿Michael Cohen? Su solucionador que una vez llamó
99
00:05:00,000 --> 00:05:04,000
Trump es un tramposo, un mentiroso, un fraude, un...
100
00:05:02,000 --> 00:05:06,000
matón, racista, depredador y estafador
101
00:05:04,000 --> 00:05:10,000
hombre.
102
00:05:06,000 --> 00:05:12,000
Él fue su propio vicepresidente Vance en una ocasión.
103
00:05:10,000 --> 00:05:15,000
dijo que podría ser el Hitler de América. Su...
104
00:05:12,000 --> 00:05:19,000
secretario de estado, Rubio, en el debate
105
00:05:15,000 --> 00:05:19,000
se burló de los ojos de su polla.
106
00:05:19,000 --> 00:05:25,000
Que el tipo tenga un solo amigo de verdad.
107
00:05:21,000 --> 00:05:25,000
Está bien, que lo haga.
108
00:05:26,000 --> 00:05:31,000
porque mira,
109
00:05:29,000 --> 00:05:34,000
La guerra no va bien. O sea, con...
110
00:05:31,000 --> 00:05:36,000
entonces tuvimos una tregua de 60 días que
111
00:05:34,000 --> 00:05:38,000
terminaron. Así que para todos nuestros barcos en la
112
00:05:36,000 --> 00:05:40,000
región, eso significa ¡todos a sus puestos! Eh, para...
113
00:05:38,000 --> 00:05:41,000
los que todavía no se han animado
114
00:05:40,000 --> 00:05:47,000
por la borda
115
00:05:41,000 --> 00:05:49,000
eh, pues, ya sabes, tuvimos algo
116
00:05:47,000 --> 00:05:51,000
algunos informes malos sobre lo que está pasando
117
00:05:49,000 --> 00:05:53,000
en ese barco, pero ni se molesta
118
00:05:51,000 --> 00:05:55,000
Pete Hexath. Pete Hgsathth, nuestro
119
00:05:53,000 --> 00:05:58,000
Secretario de Guerra, él estaba en Iowa.
120
00:05:55,000 --> 00:06:02,000
La feria estatal es esta semana y él dijo, "Sí, nosotros vamos."
121
00:05:58,000 --> 00:06:05,000
entrenamiento, no traneo.
122
00:06:02,000 --> 00:06:06,000
Bueno, eso la verdad que cayó bien.
123
00:06:05,000 --> 00:06:10,000
multitud. Aunque la mujer con barba sí que...
124
00:06:06,000 --> 00:06:10,000
salir caminando.
125
00:06:10,000 --> 00:06:14,000
Pero eh
126
00:06:14,000 --> 00:06:20,000
ya sabes todo nuestro rollo sobre el/la
127
00:06:18,000 --> 00:06:22,000
lo que siempre tuvo Ramoose era que es
128
00:06:20,000 --> 00:06:25,000
aguas internacionales. Ningún país puede
129
00:06:22,000 --> 00:06:28,000
Reclámalo. Pues ahora Trump lo ha reclamado.
130
00:06:25,000 --> 00:06:31,000
Claro, él dijo que, cito, él dijo que es...
131
00:06:28,000 --> 00:06:32,000
nuevo territorio de EE.UU. Es el estrecho de
132
00:06:31,000 --> 00:06:34,000
Here es nuevo territorio de EE.UU. No sé si...
133
00:06:32,000 --> 00:06:38,000
Esto está relacionado, pero hoy cambió.
134
00:06:34,000 --> 00:06:41,000
está verde y en la parte de abajo se está pelando.
135
00:06:38,000 --> 00:06:45,000
Pues entonces
136
00:06:41,000 --> 00:06:48,000
pero pues no sé
137
00:06:45,000 --> 00:06:50,000
Escuché sobre eso. Lo llamaron.
138
00:06:48,000 --> 00:06:54,000
Trump y, cito, dijeron que acepten.
139
00:06:50,000 --> 00:06:57,000
realidad y derrota y dejar de estar metido en eso
140
00:06:54,000 --> 00:06:59,000
Delirios. Eh, sí, chicos, ya lo intentamos.
141
00:06:57,000 --> 00:07:01,000
Nosotros ese eso eso no nos funcionó.
142
00:06:59,000 --> 00:07:03,000
No sé si va a funcionar para...
143
00:07:01,000 --> 00:07:05,000
tú, pero pero eh no, Trump dice que no está
144
00:07:03,000 --> 00:07:08,000
Va a hacerlo. Tiene una estrategia nueva.
145
00:07:05,000 --> 00:07:10,000
ahora. Estrangulamiento económico. Eso es
146
00:07:08,000 --> 00:07:12,000
Adónde vamos ahora. Ya dejó de disparar.
147
00:07:10,000 --> 00:07:15,000
misiles porque no tenemos ninguno. Vale.
148
00:07:12,000 --> 00:07:15,000
Pero
149
00:07:15,000 --> 00:07:18,000
dice que vamos a destruirlos
150
00:07:16,000 --> 00:07:20,000
la economía y estoy con el presidente en eso
151
00:07:18,000 --> 00:07:21,000
este. Si hay algo que sé de él
152
00:07:20,000 --> 00:07:23,000
puede lograrlo, es conducir algo
153
00:07:21,000 --> 00:07:24,000
en bancarrota.
154
00:07:23,000 --> 00:07:28,000
>> Muy bien, tenemos un programa genial. Tenemos...
155
00:07:24,000 --> 00:07:29,000
Dana Bash y Jeremy Peters. Vaya, qué...
156
00:07:28,000 --> 00:07:31,000
panel. Pero antes que nada, él es un...
157
00:07:29,000 --> 00:07:33,000
artista estadounidense contemporáneo
158
00:07:31,000 --> 00:07:35,000
autor superventas y recuperación
159
00:07:33,000 --> 00:07:38,000
defensor, Hunter Biden. Señoras y
160
00:07:35,000 --> 00:07:40,000
Señores, Hunter.
161
00:07:38,000 --> 00:07:42,000
Hola.
162
00:07:40,000 --> 00:07:45,000
Gracias por hacerlo. Gracias por estar.
163
00:07:42,000 --> 00:07:46,000
Aquí. Está bien.
164
00:07:45,000 --> 00:07:48,000
>> Está bien.
165
00:07:46,000 --> 00:07:50,000
>> Dijo Hunter
166
00:07:48,000 --> 00:07:52,000
Está bien. No te pongas nervioso. Solo vamos a...
167
00:07:50,000 --> 00:07:54,000
tener como
168
00:07:52,000 --> 00:07:55,000
>> Solo tenemos como 10 o 12 minutos.
169
00:07:54,000 --> 00:07:57,000
Sí, yo
170
00:07:55,000 --> 00:07:58,000
>> Estoy tan harto de todas las cosas que nosotros...
171
00:07:57,000 --> 00:08:01,000
meterse en detalles y nos vemos
172
00:07:58,000 --> 00:08:03,000
con en otro tu tu portátil, tu
173
00:08:01,000 --> 00:08:06,000
esquela. La tercera palabra será portátil.
174
00:08:03,000 --> 00:08:07,000
No sé, tú sabes, yo sé todo.
175
00:08:06,000 --> 00:08:10,000
sobre la laptop. Más cosas de las que yo
176
00:08:07,000 --> 00:08:12,000
quiero saber. Te he visto con tu...
177
00:08:10,000 --> 00:08:14,000
polla fuera. Te he visto, te he visto con
178
00:08:12,000 --> 00:08:18,000
con una pipa para fumar en la boca. Mi
179
00:08:14,000 --> 00:08:18,000
Oye, ¿vas a postularte para presidente?
180
00:08:18,000 --> 00:08:21,000
Eh...
181
00:08:27,000 --> 00:08:31,000
Estoy aquí para anunciar
182
00:08:30,000 --> 00:08:32,000
exacto.
183
00:08:31,000 --> 00:08:33,000
>> ¿Has pensado en eso?
184
00:08:32,000 --> 00:08:34,000
>> Sí. No, no lo he hecho.
185
00:08:33,000 --> 00:08:36,000
>> No, tú
186
00:08:34,000 --> 00:08:38,000
>> Mira, lo que pasa es que... si, si, si yo...
187
00:08:36,000 --> 00:08:39,000
anunciar para presidente, luego alguien
188
00:08:38,000 --> 00:08:43,000
Debería revisar para ver si recaí.
189
00:08:39,000 --> 00:08:43,000
Eso es lo que yo...
190
00:08:45,000 --> 00:08:48,000
>> Y no sé si todos están al tanto,
191
00:08:46,000 --> 00:08:49,000
pero has estado completamente sobrio por
192
00:08:48,000 --> 00:08:53,000
siete años.
193
00:08:49,000 --> 00:08:53,000
>> Sí. Primero de junio de 2019.
194
00:08:58,000 --> 00:09:02,000
>> ¿Qué te parece?
195
00:08:59,000 --> 00:09:05,000
>> Yeah, I love it. I love it. Yeah, I do.
196
00:09:02,000 --> 00:09:07,000
I do. You know, I my uh my whole reason
197
00:09:05,000 --> 00:09:09,000
for being out there as much as I have
198
00:09:07,000 --> 00:09:11,000
been is at least from my perspective,
199
00:09:09,000 --> 00:09:13,000
they built this platform to beat the
200
00:09:11,000 --> 00:09:17,000
hell out of me for about a seven-year
201
00:09:13,000 --> 00:09:18,000
period of time. And um when the crowd
202
00:09:17,000 --> 00:09:20,000
went home, the platform was still there.
203
00:09:18,000 --> 00:09:22,000
And you know, there's 50 million
204
00:09:20,000 --> 00:09:24,000
Americans that are still sick and
205
00:09:22,000 --> 00:09:26,000
suffering every day from addiction. And
206
00:09:24,000 --> 00:09:27,000
I get to go out there and I get to speak
207
00:09:26,000 --> 00:09:30,000
to them. And even if it's one person
208
00:09:27,000 --> 00:09:32,000
that sends me a message at any day, it
209
00:09:30,000 --> 00:09:34,000
says, you know, I I saw your message and
210
00:09:32,000 --> 00:09:36,000
I didn't drink today, then I've done
211
00:09:34,000 --> 00:09:40,000
something that I think is incredibly
212
00:09:36,000 --> 00:09:40,000
worthy. Yeah. I I
213
00:09:42,000 --> 00:09:46,000
would uh I I think I would say to you
214
00:09:45,000 --> 00:09:48,000
what I said to Charlie Sheen. You did
215
00:09:46,000 --> 00:09:49,000
some bad things, but I don't think
216
00:09:48,000 --> 00:09:52,000
you're a bad guy.
217
00:09:49,000 --> 00:09:55,000
>> Yeah. Is that fair?
218
00:09:52,000 --> 00:09:57,000
>> Yeah. You know, the the the thing that's
219
00:09:55,000 --> 00:10:00,000
the most um has been the most edifying
220
00:09:57,000 --> 00:10:03,000
for me over the course of this last few
221
00:10:00,000 --> 00:10:05,000
months is this is the realization that
222
00:10:03,000 --> 00:10:07,000
uh that my addiction isn't something
223
00:10:05,000 --> 00:10:09,000
that disconnects me from people. and the
224
00:10:07,000 --> 00:10:12,000
experience that I went through and the
225
00:10:09,000 --> 00:10:14,000
fact that I had to have it all play out
226
00:10:12,000 --> 00:10:16,000
on a national stage and then you know I
227
00:10:14,000 --> 00:10:18,000
was on the cover of the New York Post
228
00:10:16,000 --> 00:10:19,000
more times than I think anyone ever in
229
00:10:18,000 --> 00:10:19,000
the history of the paper,
230
00:10:19,000 --> 00:10:21,000
>> right?
231
00:10:19,000 --> 00:10:24,000
>> And the the thing about it though is
232
00:10:21,000 --> 00:10:25,000
what I realized is that all those things
233
00:10:24,000 --> 00:10:26,000
that they thought were going to kill me
234
00:10:25,000 --> 00:10:28,000
were the things that people identified
235
00:10:26,000 --> 00:10:31,000
with and not necessarily, you know,
236
00:10:28,000 --> 00:10:33,000
crack or you know, but and I mean it
237
00:10:31,000 --> 00:10:35,000
like that that's like the shocking part,
238
00:10:33,000 --> 00:10:38,000
right? is that when you say that word
239
00:10:35,000 --> 00:10:41,000
you it's kind of like uh but everybody
240
00:10:38,000 --> 00:10:43,000
everybody has a brother who's suffering
241
00:10:41,000 --> 00:10:45,000
from addiction. Everybody including
242
00:10:43,000 --> 00:10:48,000
themselves has have gone through periods
243
00:10:45,000 --> 00:10:50,000
in their life in which they've struggled
244
00:10:48,000 --> 00:10:52,000
and not just with addiction but with
245
00:10:50,000 --> 00:10:54,000
grief and loss. You know, I I was
246
00:10:52,000 --> 00:10:56,000
speaking about my dad's health, and you
247
00:10:54,000 --> 00:10:58,000
know, the thing that is the most
248
00:10:56,000 --> 00:11:00,000
astonishing to me is all of the things
249
00:10:58,000 --> 00:11:03,000
that we all experience, these painful
250
00:11:00,000 --> 00:11:04,000
things, are things that everybody's gone
251
00:11:03,000 --> 00:11:06,000
through, but we never speak about it.
252
00:11:04,000 --> 00:11:08,000
And nobody ever comes on on a show like
253
00:11:06,000 --> 00:11:10,000
this and openly talks about it.
254
00:11:08,000 --> 00:11:11,000
>> Well, I don't know about that. This is
255
00:11:10,000 --> 00:11:12,000
America. We talk about it a lot.
256
00:11:11,000 --> 00:11:14,000
>> Well, I don't know. I don't know.
257
00:11:12,000 --> 00:11:16,000
>> Come on. Let's be real. We talk about it
258
00:11:14,000 --> 00:11:16,000
a lot. We talk about addiction. We talk
259
00:11:16,000 --> 00:11:18,000
about grief.
260
00:11:16,000 --> 00:11:20,000
>> Yeah. I don't But you know what? But I I
261
00:11:18,000 --> 00:11:21,000
think that we talk about addiction and
262
00:11:20,000 --> 00:11:23,000
grief, but not in terms of our own
263
00:11:21,000 --> 00:11:26,000
personal experience in which the the
264
00:11:23,000 --> 00:11:28,000
vivid um technicolor pictures have been
265
00:11:26,000 --> 00:11:30,000
released to the entire
266
00:11:28,000 --> 00:11:30,000
and there's that piece of it. That's
267
00:11:30,000 --> 00:11:32,000
what I'm talking about.
268
00:11:30,000 --> 00:11:34,000
>> Well, I I think a fair person and
269
00:11:32,000 --> 00:11:36,000
there's so few left in America because
270
00:11:34,000 --> 00:11:39,000
everyone just likes to as I was saying
271
00:11:36,000 --> 00:11:41,000
about Natalie, you know, everyone just
272
00:11:39,000 --> 00:11:41,000
Oh, good. Someone to hate now. Someone
273
00:11:41,000 --> 00:11:43,000
we can hate.
274
00:11:41,000 --> 00:11:45,000
>> I don't know, Bill. I don't Here's the
275
00:11:43,000 --> 00:11:47,000
thing. Can you imagine if if this
276
00:11:45,000 --> 00:11:50,000
35-year-old staffer that uh wrote this
277
00:11:47,000 --> 00:11:52,000
note that has this relationship and and
278
00:11:50,000 --> 00:11:54,000
we were talking about Barack Obama,
279
00:11:52,000 --> 00:11:56,000
>> what would be the what would be the
280
00:11:54,000 --> 00:11:58,000
reaction then? Do you think that there
281
00:11:56,000 --> 00:12:00,000
wouldn't be a howl from the right that
282
00:11:58,000 --> 00:12:01,000
this is inappropriate
283
00:12:00,000 --> 00:12:02,000
>> because everybody loves to hate? That's
284
00:12:01,000 --> 00:12:05,000
what I'm saying. Does that make it
285
00:12:02,000 --> 00:12:07,000
right? It doesn't make it right. I'm not
286
00:12:05,000 --> 00:12:10,000
right. Do we Okay, let's not talk about
287
00:12:07,000 --> 00:12:12,000
her. That's not the point.
288
00:12:10,000 --> 00:12:14,000
The point I was making is that, you
289
00:12:12,000 --> 00:12:17,000
know, I think a reasonable person who's
290
00:12:14,000 --> 00:12:18,000
not filled with hate would say you both
291
00:12:17,000 --> 00:12:20,000
took advantage of some of your
292
00:12:18,000 --> 00:12:22,000
privileges by being the son of a
293
00:12:20,000 --> 00:12:24,000
president and vice president and you
294
00:12:22,000 --> 00:12:25,000
also were a target in a way that a
295
00:12:24,000 --> 00:12:26,000
normal person would not have been. Is
296
00:12:25,000 --> 00:12:28,000
that fair?
297
00:12:26,000 --> 00:12:29,000
>> There's a part of that that is fair. I
298
00:12:28,000 --> 00:12:31,000
one of the things that people I think
299
00:12:29,000 --> 00:12:33,000
don't understand is that when my dad was
300
00:12:31,000 --> 00:12:35,000
president, I didn't do any business. I
301
00:12:33,000 --> 00:12:37,000
sold paintings and I sold paintings to
302
00:12:35,000 --> 00:12:39,000
people that then had to testify before
303
00:12:37,000 --> 00:12:41,000
Congress under oath. I made an average
304
00:12:39,000 --> 00:12:42,000
of $225,000 a year.
305
00:12:41,000 --> 00:12:45,000
>> Would you have been working for an
306
00:12:42,000 --> 00:12:47,000
energy company out of Ukraine? Was that
307
00:12:45,000 --> 00:12:49,000
really the thing you studied in school?
308
00:12:47,000 --> 00:12:51,000
And you you got that job.
309
00:12:49,000 --> 00:12:52,000
>> I went to Yale law school. I you got
310
00:12:51,000 --> 00:12:54,000
that job because you just
311
00:12:52,000 --> 00:12:56,000
>> No, that's just it. Yeah. 100%. As I've
312
00:12:54,000 --> 00:12:59,000
said on a million interviews is that,
313
00:12:56,000 --> 00:13:03,000
>> you know, I'm incredibly privileged. I
314
00:12:59,000 --> 00:13:05,000
mean beyond uh beyond anyone's wild it
315
00:13:03,000 --> 00:13:07,000
imagination not only because of who my
316
00:13:05,000 --> 00:13:10,000
dad was but because of the father that
317
00:13:07,000 --> 00:13:12,000
he was and so a lot of it a lot of
318
00:13:10,000 --> 00:13:13,000
privilege comes from that and and I
319
00:13:12,000 --> 00:13:15,000
don't deny that
320
00:13:13,000 --> 00:13:17,000
>> and also a target on your back.
321
00:13:15,000 --> 00:13:19,000
>> Yeah. And by the way and also a target
322
00:13:17,000 --> 00:13:22,000
on your back and also a resume though
323
00:13:19,000 --> 00:13:23,000
that includes being you know I uh I I
324
00:13:22,000 --> 00:13:25,000
taught uh at Georgetown University's
325
00:13:23,000 --> 00:13:26,000
master's program in the school of
326
00:13:25,000 --> 00:13:28,000
foreign service. I served on a dozen
327
00:13:26,000 --> 00:13:30,000
boards. I went to Yale law school. I
328
00:13:28,000 --> 00:13:32,000
worked for Boy Schiller Flexner. When I
329
00:13:30,000 --> 00:13:34,000
took that role, I was a chairman of the
330
00:13:32,000 --> 00:13:36,000
board of the US UN World Food Program at
331
00:13:34,000 --> 00:13:38,000
that time, which serves 70 million
332
00:13:36,000 --> 00:13:40,000
people in 82 different countries. It's
333
00:13:38,000 --> 00:13:41,000
the largest humanitarian organization in
334
00:13:40,000 --> 00:13:43,000
the world. I was chairman of the board
335
00:13:41,000 --> 00:13:45,000
or vice chairman of the board of Amtrak
336
00:13:43,000 --> 00:13:47,000
for over 5 years. And so, it wasn't
337
00:13:45,000 --> 00:13:49,000
about whether or not I had experienced.
338
00:13:47,000 --> 00:13:52,000
My judgment, however, was absolutely
339
00:13:49,000 --> 00:13:55,000
completely ridiculously off. I didn't
340
00:13:52,000 --> 00:13:57,000
realize the snake pit and I was naive in
341
00:13:55,000 --> 00:13:59,000
that sense. And I gave them something. I
342
00:13:57,000 --> 00:14:00,000
gave them something on a silver platter.
343
00:13:59,000 --> 00:14:02,000
>> I'm going to ask you.
344
00:14:00,000 --> 00:14:04,000
>> And by the way, let me also say this.
345
00:14:02,000 --> 00:14:05,000
>> I did it for the money.
346
00:14:04,000 --> 00:14:08,000
>> And that's what other people won't say.
347
00:14:05,000 --> 00:14:10,000
I absolutely 100% did do it because it
348
00:14:08,000 --> 00:14:12,000
gave me a sense of freedom particularly
349
00:14:10,000 --> 00:14:16,000
when Bo was diagnosed with cancer, but
350
00:14:12,000 --> 00:14:19,000
all for for me. And so 100% all happened
351
00:14:16,000 --> 00:14:21,000
when the last year and a half of my
352
00:14:19,000 --> 00:14:24,000
father's vice presidency. None of the
353
00:14:21,000 --> 00:14:27,000
what happened that they have created and
354
00:14:24,000 --> 00:14:29,000
spun up these conspiracy have anything
355
00:14:27,000 --> 00:14:31,000
to do when my when my dad was president
356
00:14:29,000 --> 00:14:33,000
>> and and just for perspective I mean
357
00:14:31,000 --> 00:14:36,000
whatever you made it's pennies compared
358
00:14:33,000 --> 00:14:37,000
to what Don Jr is making of a I mean
359
00:14:36,000 --> 00:14:40,000
billions
360
00:14:37,000 --> 00:14:42,000
>> that's just the truth
361
00:14:40,000 --> 00:14:45,000
>> just just to put it in put it in
362
00:14:42,000 --> 00:14:49,000
perspective in the last 500 days of of
363
00:14:45,000 --> 00:14:52,000
this administration Don Jr's company has
364
00:14:49,000 --> 00:14:54,000
made has has taken in over $3.4 billion
365
00:14:52,000 --> 00:14:58,000
in uh Department of Defense contracts.
366
00:14:54,000 --> 00:15:00,000
He got a $640 million loan pushed
367
00:14:58,000 --> 00:15:03,000
through by the White House, the largest
368
00:15:00,000 --> 00:15:06,000
single loan to any private company ever
369
00:15:03,000 --> 00:15:08,000
given out by the Department of Defense.
370
00:15:06,000 --> 00:15:09,000
And that's just a fraction of it. Forget
371
00:15:08,000 --> 00:15:11,000
about what they've done with
372
00:15:09,000 --> 00:15:13,000
cryptocurrency now, which is a bank in
373
00:15:11,000 --> 00:15:15,000
which they are able to go and launder
374
00:15:13,000 --> 00:15:17,000
their money. It is a abomination. And
375
00:15:15,000 --> 00:15:20,000
that doesn't even include what Jared is
376
00:15:17,000 --> 00:15:22,000
doing and Ivanka are doing. He gets paid
377
00:15:20,000 --> 00:15:27,000
over a hundred million dollar in fees by
378
00:15:22,000 --> 00:15:29,000
the Saudis, the Saudis alone, for a $6.5
379
00:15:27,000 --> 00:15:32,000
billion dollar fund that he controls,
380
00:15:29,000 --> 00:15:35,000
which is all Gulf State money. And he is
381
00:15:32,000 --> 00:15:38,000
our unelected, unappointed
382
00:15:35,000 --> 00:15:41,000
uh emissary to the Middle East for a war
383
00:15:38,000 --> 00:15:43,000
that nobody asked for. It is absurd.
384
00:15:41,000 --> 00:15:44,000
Literally absurd. What?
385
00:15:43,000 --> 00:15:46,000
>> Not nobody like
386
00:15:44,000 --> 00:15:48,000
>> Well, that's that's true. BB Netanyahu
387
00:15:46,000 --> 00:15:51,000
asked for it and he was 100% your your
388
00:15:48,000 --> 00:15:53,000
father your father among every other
389
00:15:51,000 --> 00:15:54,000
Democrat
390
00:15:53,000 --> 00:15:56,000
>> excuse me
391
00:15:54,000 --> 00:15:57,000
>> every Democrat said Iran can't have
392
00:15:56,000 --> 00:15:58,000
nuclear weapons
393
00:15:57,000 --> 00:16:01,000
>> and every single Democrat and every
394
00:15:58,000 --> 00:16:03,000
president said Jimmy Carter refused what
395
00:16:01,000 --> 00:16:06,000
what the Israelis wanted refused what
396
00:16:03,000 --> 00:16:08,000
the Israelis wanted was to bomb Iran.
397
00:16:06,000 --> 00:16:10,000
Every single one of them. The only
398
00:16:08,000 --> 00:16:10,000
person who fell for it was Donald Trump.
399
00:16:10,000 --> 00:16:11,000
>> Yeah. True.
400
00:16:10,000 --> 00:16:13,000
>> Yeah.
401
00:16:11,000 --> 00:16:15,000
>> Okay. So, let me ask you this because
402
00:16:13,000 --> 00:16:19,000
you you hit on this a minute ago.
403
00:16:15,000 --> 00:16:19,000
>> You you created a a tough situation for
404
00:16:19,000 --> 00:16:20,000
your father.
405
00:16:19,000 --> 00:16:23,000
>> Yeah.
406
00:16:20,000 --> 00:16:24,000
>> Because politics is the roughest game
407
00:16:23,000 --> 00:16:27,000
there is. They will look for any
408
00:16:24,000 --> 00:16:29,000
vulnerability, any opening. And you kind
409
00:16:27,000 --> 00:16:31,000
of gave them one like you said on a
410
00:16:29,000 --> 00:16:33,000
silver platter. Did you ever apologize
411
00:16:31,000 --> 00:16:35,000
to your father about? Did you really?
412
00:16:33,000 --> 00:16:35,000
You've said to him, "Look, I I I know I
413
00:16:35,000 --> 00:16:37,000
can't."
414
00:16:35,000 --> 00:16:39,000
>> From the moment it started every day,
415
00:16:37,000 --> 00:16:41,000
it's the it's one of the greatest
416
00:16:39,000 --> 00:16:45,000
heartaches of my life. I talk about this
417
00:16:41,000 --> 00:16:48,000
in terms of of the the uh the the the
418
00:16:45,000 --> 00:16:50,000
trouble with recovery is this is I get
419
00:16:48,000 --> 00:16:52,000
to get out here and I talk about how
420
00:16:50,000 --> 00:16:54,000
I've been healed, how I'm, you know, I'm
421
00:16:52,000 --> 00:16:56,000
stronger than I've ever been. I've taken
422
00:16:54,000 --> 00:16:59,000
all of this and I'm, you know, the
423
00:16:56,000 --> 00:17:02,000
people that get the most hurt, uh, for
424
00:16:59,000 --> 00:17:04,000
for those of us that survive, those of
425
00:17:02,000 --> 00:17:06,000
us that the addict that's that make it
426
00:17:04,000 --> 00:17:09,000
through, the rare ones that make it
427
00:17:06,000 --> 00:17:11,000
through, the real harm happened to all
428
00:17:09,000 --> 00:17:14,000
of the people around them. And the
429
00:17:11,000 --> 00:17:15,000
trauma for them goes very, very deep.
430
00:17:14,000 --> 00:17:17,000
And they don't get to come out on this
431
00:17:15,000 --> 00:17:19,000
show and talk about how well they're
432
00:17:17,000 --> 00:17:20,000
doing and everything's all great. And,
433
00:17:19,000 --> 00:17:24,000
you know, I think about my daughters. I
434
00:17:20,000 --> 00:17:25,000
think about um, every day. and and the
435
00:17:24,000 --> 00:17:30,000
fact that you know for a 2-year period
436
00:17:25,000 --> 00:17:32,000
of time um between 2016 and 2019 they
437
00:17:30,000 --> 00:17:34,000
lost the most important person in their
438
00:17:32,000 --> 00:17:36,000
life and also the other most important
439
00:17:34,000 --> 00:17:39,000
person my brother and I was not there
440
00:17:36,000 --> 00:17:42,000
for them and I can never make up for
441
00:17:39,000 --> 00:17:44,000
that and same with my dad my dad is
442
00:17:42,000 --> 00:17:47,000
unconditional love is not love without
443
00:17:44,000 --> 00:17:51,000
consequences it's not a love that
444
00:17:47,000 --> 00:17:53,000
doesn't have a a a limit has it's a love
445
00:17:51,000 --> 00:17:55,000
that is limitless in this is that no
446
00:17:53,000 --> 00:17:57,000
matter what he would always be there for
447
00:17:55,000 --> 00:18:00,000
me but it doesn't make up for the fact
448
00:17:57,000 --> 00:18:01,000
that you know every night he had to go
449
00:18:00,000 --> 00:18:04,000
to sleep when I was in that state and
450
00:18:01,000 --> 00:18:07,000
wonder whether or not I was alive just
451
00:18:04,000 --> 00:18:11,000
after losing Bo and you know guilt is an
452
00:18:07,000 --> 00:18:12,000
appropriate thing it's absolutely as the
453
00:18:11,000 --> 00:18:15,000
addict you got to go and you got to make
454
00:18:12,000 --> 00:18:17,000
amends as much as you can and sometimes
455
00:18:15,000 --> 00:18:19,000
the greatest amend that you can make is
456
00:18:17,000 --> 00:18:21,000
just living a life by doing the next
457
00:18:19,000 --> 00:18:23,000
right thing that's what I hope I'm doing
458
00:18:21,000 --> 00:18:27,000
right Yeah.
459
00:18:23,000 --> 00:18:27,000
Well, I know uh
460
00:18:28,000 --> 00:18:32,000
I know your father is uh struggling
461
00:18:31,000 --> 00:18:32,000
right now.
462
00:18:32,000 --> 00:18:34,000
>> Yeah.
463
00:18:32,000 --> 00:18:36,000
>> Would you tell them myself and the
464
00:18:34,000 --> 00:18:38,000
audience wished him a peaceful rest of
465
00:18:36,000 --> 00:18:41,000
his days for us?
466
00:18:38,000 --> 00:18:41,000
>> He's watching us.
467
00:18:42,000 --> 00:18:46,000
>> Thank you for being here. I'll see you
468
00:18:44,000 --> 00:18:49,000
on my podcast. I hope. All right. Hunter
469
00:18:46,000 --> 00:18:52,000
Biden, everybody. Thank you, Hunter.
470
00:18:49,000 --> 00:18:52,000
Let's meet our friend.
471
00:18:55,000 --> 00:19:00,000
Hey, how are you? All right. He's a
472
00:18:58,000 --> 00:19:02,000
national correspondent for the New York
473
00:19:00,000 --> 00:19:04,000
Times and author of Insurgency: How
474
00:19:02,000 --> 00:19:08,000
Republicans Lost Their Party and Got
475
00:19:04,000 --> 00:19:08,000
Everything They Wanted. Jeremy Peters.
476
00:19:09,000 --> 00:19:13,000
Uh she's an anchor and chief political
477
00:19:11,000 --> 00:19:15,000
correspondent for CNN, whose forthcoming
478
00:19:13,000 --> 00:19:17,000
book, The Elections That Change the
479
00:19:15,000 --> 00:19:21,000
World, is available to pre-order now.
480
00:19:17,000 --> 00:19:21,000
Donna Bash, hey, how you doing?
481
00:19:22,000 --> 00:19:26,000
Okay, so it's almost Labor Day. Wow, we
482
00:19:25,000 --> 00:19:28,000
blew through another year. I can't
483
00:19:26,000 --> 00:19:30,000
believe it. Merry Christmas because
484
00:19:28,000 --> 00:19:32,000
that's what's coming next. Uh they say
485
00:19:30,000 --> 00:19:33,000
that people don't pay attention until
486
00:19:32,000 --> 00:19:35,000
Labor Day, right? So, let's pay
487
00:19:33,000 --> 00:19:36,000
attention for them because we have been
488
00:19:35,000 --> 00:19:37,000
having primaries, right?
489
00:19:36,000 --> 00:19:39,000
>> A lot of them.
490
00:19:37,000 --> 00:19:42,000
>> A lot of primaries and they do tell us a
491
00:19:39,000 --> 00:19:44,000
lot. Um I feel like people are reluctant
492
00:19:42,000 --> 00:19:46,000
ever to say that, oh, Trump is toast
493
00:19:44,000 --> 00:19:48,000
because people have said it so many
494
00:19:46,000 --> 00:19:48,000
times before and it's not been true.
495
00:19:48,000 --> 00:19:52,000
Mhm.
496
00:19:48,000 --> 00:19:58,000
>> I think he's toast. Um
497
00:19:52,000 --> 00:20:01,000
>> because uh well, I'm just going by
498
00:19:58,000 --> 00:20:03,000
uh the approval rating now is 33%.
499
00:20:01,000 --> 00:20:04,000
That's the floor.
500
00:20:03,000 --> 00:20:06,000
>> Well, maybe.
501
00:20:04,000 --> 00:20:08,000
>> No, I think it is. I think that is the
502
00:20:06,000 --> 00:20:11,000
people who just absolutely hate
503
00:20:08,000 --> 00:20:13,000
Democrats. So, it really doesn't matter
504
00:20:11,000 --> 00:20:15,000
>> whatever he does. It's just that I think
505
00:20:13,000 --> 00:20:16,000
I don't think it ever gets They used to
506
00:20:15,000 --> 00:20:18,000
be called Birchers. Then they were
507
00:20:16,000 --> 00:20:19,000
birthers. their Tea Party. That's the
508
00:20:18,000 --> 00:20:21,000
33%.
509
00:20:19,000 --> 00:20:22,000
>> That's also the Democratic party's
510
00:20:21,000 --> 00:20:23,000
approval rating, by the way. I mean,
511
00:20:22,000 --> 00:20:24,000
they're in
512
00:20:23,000 --> 00:20:26,000
>> as a party
513
00:20:24,000 --> 00:20:28,000
>> as a party. And Chuck Schumer's uh
514
00:20:26,000 --> 00:20:30,000
approval rating is actually lower than
515
00:20:28,000 --> 00:20:33,000
that. So, as a party, they have not
516
00:20:30,000 --> 00:20:34,000
managed to move up in favorability since
517
00:20:33,000 --> 00:20:36,000
Trump took the oath the second time
518
00:20:34,000 --> 00:20:38,000
around, and that's pretty damning.
519
00:20:36,000 --> 00:20:39,000
>> Okay. Endorsements, though.
520
00:20:38,000 --> 00:20:41,000
>> Yeah.
521
00:20:39,000 --> 00:20:43,000
>> Trump used to win all his endorsements.
522
00:20:41,000 --> 00:20:43,000
Now, he's winning almost none of them.
523
00:20:43,000 --> 00:20:46,000
That's right.
524
00:20:43,000 --> 00:20:49,000
>> He lost Wyoming a race there. Five
525
00:20:46,000 --> 00:20:51,000
governorships have not gone his way. Two
526
00:20:49,000 --> 00:20:52,000
people in Florida, which he calls his
527
00:20:51,000 --> 00:20:54,000
home state.
528
00:20:52,000 --> 00:20:57,000
>> The people are kind of over the
529
00:20:54,000 --> 00:21:00,000
corruption. That message got through.
530
00:20:57,000 --> 00:21:02,000
Inflation and gas prices, which is what
531
00:21:00,000 --> 00:21:04,000
they hated Biden for.
532
00:21:02,000 --> 00:21:08,000
>> Uh he always got it in front of that
533
00:21:04,000 --> 00:21:10,000
banner that said promises kept. The war,
534
00:21:08,000 --> 00:21:12,000
they see that as a promise not kept. I
535
00:21:10,000 --> 00:21:16,000
won't get you into wars. Epstein, they
536
00:21:12,000 --> 00:21:18,000
didn't like that. I think this election
537
00:21:16,000 --> 00:21:20,000
coming up, the midterm, is a referendum
538
00:21:18,000 --> 00:21:21,000
on the president. It almost always is.
539
00:21:20,000 --> 00:21:23,000
So, I don't think there's any way the
540
00:21:21,000 --> 00:21:27,000
Democrats can possibly blow this,
541
00:21:23,000 --> 00:21:27,000
although they will try.
542
00:21:28,000 --> 00:21:34,000
But I feel maybe
543
00:21:31,000 --> 00:21:37,000
I feel like this election is no, we have
544
00:21:34,000 --> 00:21:39,000
to be mad at Trump first and then the
545
00:21:37,000 --> 00:21:42,000
the Democrats will lose the 2028
546
00:21:39,000 --> 00:21:44,000
presidential. Except I agree with you on
547
00:21:42,000 --> 00:21:46,000
everything you said about uh the
548
00:21:44,000 --> 00:21:48,000
endorsements because I think it's up to
549
00:21:46,000 --> 00:21:50,000
10 or 11 now. House endorsements,
550
00:21:48,000 --> 00:21:54,000
governor's endorsements. He did pretty
551
00:21:50,000 --> 00:21:56,000
well in some races that the Republicans
552
00:21:54,000 --> 00:21:59,000
who want to win are really pissed at him
553
00:21:56,000 --> 00:22:01,000
about like in Texas. They're really not
554
00:21:59,000 --> 00:22:03,000
sure that Ken Paxton is I mean it's
555
00:22:01,000 --> 00:22:05,000
Texas so he'll probably win, but it's
556
00:22:03,000 --> 00:22:05,000
not a shoe in like John Cornin would
557
00:22:05,000 --> 00:22:07,000
have been.
558
00:22:05,000 --> 00:22:09,000
>> He's a very hard right-winger Ken
559
00:22:07,000 --> 00:22:12,000
Paxton, right? and he's got some ethical
560
00:22:09,000 --> 00:22:15,000
issues and and James Telerico is um
561
00:22:12,000 --> 00:22:17,000
>> a young Democrat
562
00:22:15,000 --> 00:22:19,000
>> Christian and and so forth. But I will
563
00:22:17,000 --> 00:22:21,000
add a well I mean he's he wears his
564
00:22:19,000 --> 00:22:22,000
faith on his sleeve in a way that that
565
00:22:21,000 --> 00:22:24,000
he believes will help him.
566
00:22:22,000 --> 00:22:26,000
>> Well, in the Democratic party, as long
567
00:22:24,000 --> 00:22:27,000
as that faith faith isn't Jewish, you're
568
00:22:26,000 --> 00:22:29,000
good.
569
00:22:27,000 --> 00:22:32,000
>> Which, well, you said it. But um
570
00:22:29,000 --> 00:22:34,000
>> I Yeah, I said it because it's true. I I
571
00:22:32,000 --> 00:22:38,000
do want to put one more data point into
572
00:22:34,000 --> 00:22:41,000
your um thesis there and that is that if
573
00:22:38,000 --> 00:22:42,000
you look on the Democratic side, one
574
00:22:41,000 --> 00:22:46,000
thing that happened this week is that
575
00:22:42,000 --> 00:22:49,000
Alexander Binman lost. Alex Democratic
576
00:22:46,000 --> 00:22:51,000
socialist. Let's remind the audience who
577
00:22:49,000 --> 00:22:55,000
isn't political junkies. So, Alexander
578
00:22:51,000 --> 00:22:58,000
Vinman was uh in the in the military and
579
00:22:55,000 --> 00:23:01,000
he went and testified against President
580
00:22:58,000 --> 00:23:03,000
Trump and Trump won because he heard the
581
00:23:01,000 --> 00:23:04,000
phone call between President Trump and
582
00:23:03,000 --> 00:23:06,000
>> the perfect call.
583
00:23:04,000 --> 00:23:07,000
>> The perfect call between President Trump
584
00:23:06,000 --> 00:23:08,000
and the Ukrainian leader.
585
00:23:07,000 --> 00:23:10,000
>> So, he's a big hero of the left.
586
00:23:08,000 --> 00:23:11,000
>> Exactly. He is a part of
587
00:23:10,000 --> 00:23:12,000
>> and he lost.
588
00:23:11,000 --> 00:23:14,000
>> And he lost. But he's a part of the
589
00:23:12,000 --> 00:23:17,000
Trump resistance. And another pattern
590
00:23:14,000 --> 00:23:19,000
that we have seen is people who have
591
00:23:17,000 --> 00:23:22,000
become prominent in the Democratic party
592
00:23:19,000 --> 00:23:24,000
as part of the Trump resistance also
593
00:23:22,000 --> 00:23:27,000
losing. So it's not just that the
594
00:23:24,000 --> 00:23:30,000
president is not doing as well with the
595
00:23:27,000 --> 00:23:32,000
people in his base, he's lost his luster
596
00:23:30,000 --> 00:23:33,000
with the people who hate him on the on
597
00:23:32,000 --> 00:23:37,000
the left.
598
00:23:33,000 --> 00:23:39,000
>> And let's not forget that the Democrats
599
00:23:37,000 --> 00:23:41,000
um have a real enthusiasm problem,
600
00:23:39,000 --> 00:23:43,000
right? I mean, a lot of voters are
601
00:23:41,000 --> 00:23:45,000
looking at the Republicans and Trump and
602
00:23:43,000 --> 00:23:48,000
the Democrats and saying, "I'm not
603
00:23:45,000 --> 00:23:49,000
thrilled with either choice." And so
604
00:23:48,000 --> 00:23:51,000
that enthusiasm problem, even though,
605
00:23:49,000 --> 00:23:53,000
Bill, you're right. Democrats would
606
00:23:51,000 --> 00:23:56,000
really have to screw something up to
607
00:23:53,000 --> 00:23:58,000
lose in this midterm election. I It's
608
00:23:56,000 --> 00:24:00,000
really not clear how well they will do,
609
00:23:58,000 --> 00:24:02,000
even if they have a majority, because
610
00:24:00,000 --> 00:24:03,000
the Democrats in the House that I talked
611
00:24:02,000 --> 00:24:05,000
to are really worried that if they don't
612
00:24:03,000 --> 00:24:07,000
pick up a dozen seats, they're going to
613
00:24:05,000 --> 00:24:09,000
be beholdened to the new squad in this
614
00:24:07,000 --> 00:24:12,000
handful of of of Democratic socialists
615
00:24:09,000 --> 00:24:14,000
who will essentially have veto power
616
00:24:12,000 --> 00:24:17,000
over the entire Democratic establishment
617
00:24:14,000 --> 00:24:19,000
agenda. That's a big concern. Will they?
618
00:24:17,000 --> 00:24:21,000
>> They will. Well, if it's if it's a slim
619
00:24:19,000 --> 00:24:23,000
majority, just like you're seeing on the
620
00:24:21,000 --> 00:24:26,000
right with the Tea Party and a little
621
00:24:23,000 --> 00:24:29,000
bit less so now, if it's slim majority
622
00:24:26,000 --> 00:24:32,000
minority rules on on within the party
623
00:24:29,000 --> 00:24:34,000
and so if you have, let's say, I mean,
624
00:24:32,000 --> 00:24:36,000
you had four members of the squad and
625
00:24:34,000 --> 00:24:38,000
then it was growing. Let's say you have
626
00:24:36,000 --> 00:24:39,000
10 people who are absolutely I'm not
627
00:24:38,000 --> 00:24:42,000
going to do anything unless you pass
628
00:24:39,000 --> 00:24:43,000
Medicare for all. Just for example,
629
00:24:42,000 --> 00:24:46,000
Hakeim Jeff, if he doesn't have a
630
00:24:43,000 --> 00:24:47,000
majority more than 10 people, he's
631
00:24:46,000 --> 00:24:48,000
screwed.
632
00:24:47,000 --> 00:24:51,000
>> Almost like a parliamentary government
633
00:24:48,000 --> 00:24:53,000
where you bring in a like in an Israel.
634
00:24:51,000 --> 00:24:55,000
>> The the the government only exists
635
00:24:53,000 --> 00:24:57,000
because they had to bring in like four
636
00:24:55,000 --> 00:25:00,000
or five members of the far far
637
00:24:57,000 --> 00:25:01,000
right-wing party and they do control in
638
00:25:00,000 --> 00:25:02,000
a lot of ways what goes on in that
639
00:25:01,000 --> 00:25:03,000
government.
640
00:25:02,000 --> 00:25:05,000
>> Yeah, they absolutely do. And they're
641
00:25:03,000 --> 00:25:07,000
not running to be members of the
642
00:25:05,000 --> 00:25:10,000
Democratic party. They're running many
643
00:25:07,000 --> 00:25:11,000
of them anyway as democratic socialists.
644
00:25:10,000 --> 00:25:14,000
It's a totally different political
645
00:25:11,000 --> 00:25:15,000
organization. And in fact, they want to
646
00:25:14,000 --> 00:25:16,000
take out the Democratic party. I mean,
647
00:25:15,000 --> 00:25:18,000
that's their stated goal. They not only
648
00:25:16,000 --> 00:25:19,000
want to take out the Democratic party,
649
00:25:18,000 --> 00:25:21,000
they want to take out the entire
650
00:25:19,000 --> 00:25:23,000
constitutional system that the
651
00:25:21,000 --> 00:25:24,000
Democratic Party is allowed to
652
00:25:23,000 --> 00:25:27,000
participate in governing.
653
00:25:24,000 --> 00:25:28,000
>> And they like communism. I proved it
654
00:25:27,000 --> 00:25:30,000
here a couple of weeks ago just by
655
00:25:28,000 --> 00:25:32,000
quoting them. They use the word a lot.
656
00:25:30,000 --> 00:25:34,000
They're not actually trying to hide it,
657
00:25:32,000 --> 00:25:34,000
although if you ask them, they will
658
00:25:34,000 --> 00:25:36,000
deny.
659
00:25:34,000 --> 00:25:38,000
>> Yeah. It's so interesting.
660
00:25:36,000 --> 00:25:40,000
>> They will, but some of them, I mean,
661
00:25:38,000 --> 00:25:42,000
this is why Elsa did quite well in
662
00:25:40,000 --> 00:25:44,000
Michigan. This is why the woman who is
663
00:25:42,000 --> 00:25:46,000
running against Karen Bass as mayor of
664
00:25:44,000 --> 00:25:47,000
LA is doing quite well because they've
665
00:25:46,000 --> 00:25:49,000
learned how to sand down the rougher
666
00:25:47,000 --> 00:25:50,000
edges and they don't talk about
667
00:25:49,000 --> 00:25:52,000
socialism. They don't talk about seizing
668
00:25:50,000 --> 00:25:55,000
the means of production and stuff like
669
00:25:52,000 --> 00:25:56,000
that. Uh they're getting many of them,
670
00:25:55,000 --> 00:25:59,000
some of them are not quite ready for
671
00:25:56,000 --> 00:26:00,000
prime time, let's be clear, but a lot of
672
00:25:59,000 --> 00:26:01,000
them have really done a good job of
673
00:26:00,000 --> 00:26:03,000
selling themselves to the public as
674
00:26:01,000 --> 00:26:06,000
quite reasonable mainstream politicians.
675
00:26:03,000 --> 00:26:08,000
And that's how uh Angie Nixon, who beat
676
00:26:06,000 --> 00:26:10,000
Alexander Vman in Florida this week.
677
00:26:08,000 --> 00:26:14,000
>> Okay. So that explain who that is.
678
00:26:10,000 --> 00:26:16,000
>> She is a Democratic socialist uh who
679
00:26:14,000 --> 00:26:16,000
raised like not even a million dollars.
680
00:26:16,000 --> 00:26:19,000
>> That's right.
681
00:26:16,000 --> 00:26:21,000
>> And he raised about $16 million. So I'm
682
00:26:19,000 --> 00:26:23,000
not a mathematician, but I think that's
683
00:26:21,000 --> 00:26:24,000
like 16 to1. And he crushed She crushed
684
00:26:23,000 --> 00:26:26,000
him
685
00:26:24,000 --> 00:26:28,000
>> in Florida. Absolutely. In Florida,
686
00:26:26,000 --> 00:26:29,000
which is a red. Yes. But this is
687
00:26:28,000 --> 00:26:30,000
>> But this is of course the Democratic
688
00:26:29,000 --> 00:26:31,000
primary.
689
00:26:30,000 --> 00:26:34,000
>> It's a Democratic primary.
690
00:26:31,000 --> 00:26:36,000
But she but she did it by she's a
691
00:26:34,000 --> 00:26:39,000
democratic socialist but she did it by
692
00:26:36,000 --> 00:26:42,000
really narrowing down her message about
693
00:26:39,000 --> 00:26:45,000
affordability about about money about
694
00:26:42,000 --> 00:26:46,000
trying to uh you know live the American
695
00:26:45,000 --> 00:26:47,000
dream in a way that
696
00:26:46,000 --> 00:26:50,000
>> but again this is a race within the
697
00:26:47,000 --> 00:26:52,000
Democratic party so when she runs in the
698
00:26:50,000 --> 00:26:55,000
general against the Republican for
699
00:26:52,000 --> 00:26:57,000
governor she's be very hard very hard
700
00:26:55,000 --> 00:26:59,000
>> she's going to run against Ashley Moody
701
00:26:57,000 --> 00:27:02,000
who's the um sitting Republican senator
702
00:26:59,000 --> 00:27:04,000
and It's it I mean I don't want to say
703
00:27:02,000 --> 00:27:05,000
impossible but if there is an impossible
704
00:27:04,000 --> 00:27:06,000
race that could be.
705
00:27:05,000 --> 00:27:09,000
>> So what do you think of this new star
706
00:27:06,000 --> 00:27:10,000
John Oaf I mentioned in the monologue. I
707
00:27:09,000 --> 00:27:12,000
mean we've mentioned him before. He's
708
00:27:10,000 --> 00:27:15,000
been there for a couple of years in
709
00:27:12,000 --> 00:27:18,000
Georgia. He's kind of Obama-esque when
710
00:27:15,000 --> 00:27:19,000
he speaks and he really led into Trump
711
00:27:18,000 --> 00:27:23,000
in a way that people seem to be
712
00:27:19,000 --> 00:27:26,000
certainly on the left thirsting for. Um
713
00:27:23,000 --> 00:27:28,000
and um the problem is he's Jewish. Mhm.
714
00:27:26,000 --> 00:27:30,000
>> I mean, I I know we don't want to talk
715
00:27:28,000 --> 00:27:34,000
about that, but we need to talk about
716
00:27:30,000 --> 00:27:37,000
that because that is the situation in
717
00:27:34,000 --> 00:27:41,000
the Democratic Party. They think Gaza is
718
00:27:37,000 --> 00:27:43,000
a genocide. It is not. There's an actual
719
00:27:41,000 --> 00:27:44,000
meaning into the word genocide. It
720
00:27:43,000 --> 00:27:48,000
doesn't come close. But as long as you
721
00:27:44,000 --> 00:27:50,000
tag that name genocide, of course, what
722
00:27:48,000 --> 00:27:52,000
kind of normal person would not hate
723
00:27:50,000 --> 00:27:53,000
someone who's responsible for a
724
00:27:52,000 --> 00:27:56,000
genocide? And they've all just signed on
725
00:27:53,000 --> 00:27:59,000
to this because they're just big on
726
00:27:56,000 --> 00:28:01,000
buzzwords and lawn signs and bumper
727
00:27:59,000 --> 00:28:02,000
stickers. That's as deep as they go
728
00:28:01,000 --> 00:28:06,000
>> and likes on their social media
729
00:28:02,000 --> 00:28:10,000
>> and likes. So, uh they you have to say
730
00:28:06,000 --> 00:28:12,000
it. There was a uh Congressman Scott
731
00:28:10,000 --> 00:28:15,000
Weiner, he's I think going to take Nancy
732
00:28:12,000 --> 00:28:17,000
Pelos's seat in San Francisco. And he
733
00:28:15,000 --> 00:28:20,000
wasn't saying genocide and they
734
00:28:17,000 --> 00:28:22,000
surrounded him a mob and yelled at him
735
00:28:20,000 --> 00:28:23,000
and said, "You're not gay." He's gay.
736
00:28:22,000 --> 00:28:24,000
They're not really gay unless you What
737
00:28:23,000 --> 00:28:25,000
the [ __ ] does that have to do with
738
00:28:24,000 --> 00:28:26,000
genocide?
739
00:28:25,000 --> 00:28:28,000
>> Right. Right.
740
00:28:26,000 --> 00:28:29,000
>> Say it. And he did because the Democrats
741
00:28:28,000 --> 00:28:32,000
are cowards.
742
00:28:29,000 --> 00:28:33,000
>> Can I just This is factual. Do you know
743
00:28:32,000 --> 00:28:35,000
the only country in the Middle East that
744
00:28:33,000 --> 00:28:36,000
has gay rights?
745
00:28:35,000 --> 00:28:38,000
>> Of course.
746
00:28:36,000 --> 00:28:41,000
>> Yes. That's why the people with the
747
00:28:38,000 --> 00:28:42,000
queers for Palestine t-shirts are so out
748
00:28:41,000 --> 00:28:45,000
of their mind. Can I can I say one thing
749
00:28:42,000 --> 00:28:47,000
about the Jew because um I actually uh
750
00:28:45,000 --> 00:28:49,000
earlier this summer I interviewed Josh
751
00:28:47,000 --> 00:28:50,000
Shapiro, governor of
752
00:28:49,000 --> 00:28:52,000
>> another Jewish politician,
753
00:28:50,000 --> 00:28:55,000
>> governor of uh of Pennsylvania running
754
00:28:52,000 --> 00:28:57,000
for reelection but also very much in the
755
00:28:55,000 --> 00:28:59,000
conversation about 2028. And I asked him
756
00:28:57,000 --> 00:29:03,000
this question point blank. Do you really
757
00:28:59,000 --> 00:29:05,000
think that a Jewish politician can win a
758
00:29:03,000 --> 00:29:09,000
Democratic primary for president in this
759
00:29:05,000 --> 00:29:12,000
environment for for Jews? and he gave an
760
00:29:09,000 --> 00:29:15,000
answer about how he's been talking about
761
00:29:12,000 --> 00:29:18,000
his faith a lot. He doesn't hide from
762
00:29:15,000 --> 00:29:21,000
it. Pennsylvania is a purple state. He's
763
00:29:18,000 --> 00:29:23,000
very popular in Pennsylvania. Um and you
764
00:29:21,000 --> 00:29:25,000
know, I thought a lot about it. We'll
765
00:29:23,000 --> 00:29:28,000
see. But the other thing that I thought
766
00:29:25,000 --> 00:29:30,000
about, Bill, is that even or maybe
767
00:29:28,000 --> 00:29:33,000
despite this climate, you have Josh
768
00:29:30,000 --> 00:29:35,000
Shapiro, John Oaf, JB Pritsker, Rahm
769
00:29:33,000 --> 00:29:37,000
Emanuel. I don't remember a time where
770
00:29:35,000 --> 00:29:39,000
there were more Jews who were even
771
00:29:37,000 --> 00:29:41,000
thinking openly about running for
772
00:29:39,000 --> 00:29:42,000
president in the Democratic primary.
773
00:29:41,000 --> 00:29:45,000
>> We'll see what happens when they get
774
00:29:42,000 --> 00:29:46,000
asked about Israel. I think Bill has a
775
00:29:45,000 --> 00:29:48,000
has a good point is that they twist
776
00:29:46,000 --> 00:29:52,000
themselves in into knots over it because
777
00:29:48,000 --> 00:29:55,000
the activist left has done such a good
778
00:29:52,000 --> 00:29:57,000
job of making this a third rail like you
779
00:29:55,000 --> 00:29:59,000
know you have to buy into the rhetoric
780
00:29:57,000 --> 00:30:02,000
just like you used to have to say I want
781
00:29:59,000 --> 00:30:02,000
to defund the police or I want you know
782
00:30:02,000 --> 00:30:03,000
there to be
783
00:30:02,000 --> 00:30:05,000
>> it's a litmus test.
784
00:30:03,000 --> 00:30:07,000
>> Yes. Exactly. And and as is often the
785
00:30:05,000 --> 00:30:08,000
case, and this is something I think
786
00:30:07,000 --> 00:30:12,000
Democratic strategists worry about
787
00:30:08,000 --> 00:30:15,000
privately, is the absolutist nature of
788
00:30:12,000 --> 00:30:18,000
some of the activism rhetoric on the
789
00:30:15,000 --> 00:30:20,000
left is a real problem because they're
790
00:30:18,000 --> 00:30:22,000
always trying to explain it away, right?
791
00:30:20,000 --> 00:30:25,000
Well, we don't really mean defund the
792
00:30:22,000 --> 00:30:27,000
police. Well, uh, we don't really mean
793
00:30:25,000 --> 00:30:30,000
that Donald Trump is a king or they're
794
00:30:27,000 --> 00:30:32,000
using kind of jargony language like, um,
795
00:30:30,000 --> 00:30:34,000
let's, you know, stop the oligarchy or
796
00:30:32,000 --> 00:30:36,000
or, you know, whatever that tour is. And
797
00:30:34,000 --> 00:30:39,000
ordinary people don't know what that
798
00:30:36,000 --> 00:30:42,000
means. They don't it it just
799
00:30:39,000 --> 00:30:44,000
>> it doesn't resonate with them or care,
800
00:30:42,000 --> 00:30:48,000
right? And this unless Democrats learn
801
00:30:44,000 --> 00:30:51,000
how to talk to voters in a way that is
802
00:30:48,000 --> 00:30:53,000
is is more to their hearts rather than
803
00:30:51,000 --> 00:30:54,000
to their heads and you know to to to a
804
00:30:53,000 --> 00:30:56,000
political dictionary that you need to
805
00:30:54,000 --> 00:30:58,000
translate what they're saying. I you
806
00:30:56,000 --> 00:31:00,000
know they this will be a difficult year.
807
00:30:58,000 --> 00:31:03,000
>> But I think back to what you
808
00:31:00,000 --> 00:31:05,000
>> what you said about John Oaf that is one
809
00:31:03,000 --> 00:31:06,000
of the main reasons why he's taking off.
810
00:31:05,000 --> 00:31:09,000
I I watched that whole speech that he
811
00:31:06,000 --> 00:31:12,000
gave last Sunday and it wasn't just the
812
00:31:09,000 --> 00:31:14,000
the line that everybody's talking about
813
00:31:12,000 --> 00:31:18,000
about Natalie. The whole the whole way
814
00:31:14,000 --> 00:31:22,000
that he wo in um the heart and the soul
815
00:31:18,000 --> 00:31:24,000
of fighting for affordability but also
816
00:31:22,000 --> 00:31:28,000
fighting against Donald Trump was
817
00:31:24,000 --> 00:31:30,000
incredibly unique. Well, again, these
818
00:31:28,000 --> 00:31:34,000
issues like corruption. I mean, the the
819
00:31:30,000 --> 00:31:37,000
World Financial, is that Trump's
820
00:31:34,000 --> 00:31:40,000
crypto? He's got his own crypto
821
00:31:37,000 --> 00:31:42,000
company. And I see today now they're
822
00:31:40,000 --> 00:31:45,000
letting them have a bank. It It's just
823
00:31:42,000 --> 00:31:47,000
It's very close to just backing a truck
824
00:31:45,000 --> 00:31:49,000
up to Fort Knox.
825
00:31:47,000 --> 00:31:51,000
>> And people get that. You know, it's like
826
00:31:49,000 --> 00:31:52,000
we're struggling. You said you were
827
00:31:51,000 --> 00:31:54,000
going to stop our struggling. You said
828
00:31:52,000 --> 00:31:57,000
gas prices and inflation were going to
829
00:31:54,000 --> 00:31:58,000
go down. They're not. But you guys are
830
00:31:57,000 --> 00:32:00,000
making out great.
831
00:31:58,000 --> 00:32:02,000
>> All right. Um, it is back to school
832
00:32:00,000 --> 00:32:04,000
time.
833
00:32:02,000 --> 00:32:06,000
>> So, um, that includes college and for
834
00:32:04,000 --> 00:32:09,000
some reason college includes Arizona
835
00:32:06,000 --> 00:32:12,000
State. I've never understood that. Um,
836
00:32:09,000 --> 00:32:14,000
but they are.
837
00:32:12,000 --> 00:32:16,000
It's true.
838
00:32:14,000 --> 00:32:18,000
They are in the news because they have a
839
00:32:16,000 --> 00:32:20,000
Walter Kankite School of Journalism and
840
00:32:18,000 --> 00:32:23,000
Mass Communication. Guess what the new
841
00:32:20,000 --> 00:32:24,000
uh curriculum is about? They're you're
842
00:32:23,000 --> 00:32:27,000
gonna get be able to get a course in
843
00:32:24,000 --> 00:32:27,000
influencing.
844
00:32:27,000 --> 00:32:33,000
I wish I was just making this up.
845
00:32:31,000 --> 00:32:36,000
You can literally get a BS in BS. Now,
846
00:32:33,000 --> 00:32:41,000
would you like to hear
847
00:32:36,000 --> 00:32:41,000
would you like to hear uh
848
00:32:41,000 --> 00:32:44,000
we got a hold of the the syllabus. Would
849
00:32:42,000 --> 00:32:47,000
you like to hear some in the course? I'm
850
00:32:44,000 --> 00:32:50,000
sure you would. Uh, for example, there's
851
00:32:47,000 --> 00:32:53,000
uh intro to influencing duck lips, pea
852
00:32:50,000 --> 00:32:56,000
signs, and you love it.
853
00:32:53,000 --> 00:32:59,000
You need that intro course. Of course,
854
00:32:56,000 --> 00:33:01,000
uh, strategies in making a toilet seat
855
00:32:59,000 --> 00:33:04,000
look like a private jet. Oh, yeah.
856
00:33:01,000 --> 00:33:04,000
That's
857
00:33:06,000 --> 00:33:13,000
biology 301. Diagnosing yourself is
858
00:33:08,000 --> 00:33:13,000
something you Googled this morning.
859
00:33:14,000 --> 00:33:21,000
Uh,
860
00:33:16,000 --> 00:33:21,000
math 101. Why you don't need it.
861
00:33:23,000 --> 00:33:27,000
A camera phone mechanics. How to make
862
00:33:25,000 --> 00:33:30,000
your tits the focus of whatever you're
863
00:33:27,000 --> 00:33:30,000
yammering about.
864
00:33:34,000 --> 00:33:39,000
Uh, unboxing 101. Losing your [ __ ] over
865
00:33:37,000 --> 00:33:42,000
new material goods in an age of
866
00:33:39,000 --> 00:33:42,000
socialism.
867
00:33:45,000 --> 00:33:49,000
Uh, intro to public speaking tips on
868
00:33:48,000 --> 00:33:53,000
shaming people in public who aren't
869
00:33:49,000 --> 00:33:53,000
really even doing anything.
870
00:33:56,000 --> 00:34:00,000
>> Uh, career development, explaining to
871
00:33:58,000 --> 00:34:03,000
your grandparents what exactly it is you
872
00:34:00,000 --> 00:34:03,000
do.
873
00:34:06,000 --> 00:34:13,000
and senior seminar when to call it quits
874
00:34:09,000 --> 00:34:16,000
and transition to only fans. All right.
875
00:34:13,000 --> 00:34:16,000
>> So, let's uh
876
00:34:19,000 --> 00:34:24,000
let's talk about higher education, shall
877
00:34:21,000 --> 00:34:26,000
we? Because this is this is not the only
878
00:34:24,000 --> 00:34:27,000
story in the news. Quite a few.
879
00:34:26,000 --> 00:34:28,000
University of Michigan.
880
00:34:27,000 --> 00:34:29,000
>> Mhm. Where I went. Yes.
881
00:34:28,000 --> 00:34:32,000
>> That's where you went.
882
00:34:29,000 --> 00:34:33,000
>> I did. Yes. I wish I wouldn't have had
883
00:34:32,000 --> 00:34:36,000
grades. That would have been great.
884
00:34:33,000 --> 00:34:37,000
Right. They are going to no grades now.
885
00:34:36,000 --> 00:34:39,000
And the reason given
886
00:34:37,000 --> 00:34:40,000
>> just as freshman or for the whole the
887
00:34:39,000 --> 00:34:43,000
whole thing.
888
00:34:40,000 --> 00:34:44,000
>> I'm not sure about that. I But what
889
00:34:43,000 --> 00:34:45,000
>> it doesn't matter.
890
00:34:44,000 --> 00:34:47,000
>> It's it's ridiculous. And they're saying
891
00:34:45,000 --> 00:34:50,000
it because sometimes a kid gets a gra
892
00:34:47,000 --> 00:34:50,000
bad grade and it makes them sad.
893
00:34:50,000 --> 00:34:52,000
>> I can't
894
00:34:50,000 --> 00:34:55,000
>> I'm not making that up.
895
00:34:52,000 --> 00:34:56,000
>> I mean, no grades. And what is that what
896
00:34:55,000 --> 00:34:56,000
does that school cost? It's not cheap,
897
00:34:56,000 --> 00:34:58,000
right?
898
00:34:56,000 --> 00:35:01,000
>> It's not cheap. I can tell you what it
899
00:34:58,000 --> 00:35:04,000
was 25 years ago, but um no, but look,
900
00:35:01,000 --> 00:35:06,000
this is part of the coddling of the
901
00:35:04,000 --> 00:35:07,000
American mind effect that you know um
902
00:35:06,000 --> 00:35:09,000
we've been reading about and and
903
00:35:07,000 --> 00:35:13,000
scholars smarter than I am have been
904
00:35:09,000 --> 00:35:15,000
writing about for 15 years. And I don't
905
00:35:13,000 --> 00:35:18,000
see how when you have uh you know a
906
00:35:15,000 --> 00:35:21,000
studentageed population that is already
907
00:35:18,000 --> 00:35:25,000
losing its jobs to losing what they
908
00:35:21,000 --> 00:35:27,000
trained for to AI uh and and how they're
909
00:35:25,000 --> 00:35:29,000
basically as a generation having to face
910
00:35:27,000 --> 00:35:31,000
you know what a future looks like on a
911
00:35:29,000 --> 00:35:33,000
planet that that is is so hot and so
912
00:35:31,000 --> 00:35:35,000
inhospitable that you know it it's
913
00:35:33,000 --> 00:35:38,000
rejecting human life. I mean yeah this
914
00:35:35,000 --> 00:35:40,000
is it's it's not a great outlook. I grew
915
00:35:38,000 --> 00:35:43,000
up I'm Gen X. So I grew up basically
916
00:35:40,000 --> 00:35:44,000
feral like the rest of our the rest of
917
00:35:43,000 --> 00:35:46,000
our generation.
918
00:35:44,000 --> 00:35:48,000
>> I'm a boomer. You think you're feral?
919
00:35:46,000 --> 00:35:50,000
>> Yeah. I mean and so
920
00:35:48,000 --> 00:35:54,000
>> I'm out of the dump. Yes.
921
00:35:50,000 --> 00:35:56,000
>> I mean literally. So the idea that we
922
00:35:54,000 --> 00:35:57,000
can't I mean I look I understand there
923
00:35:56,000 --> 00:35:59,000
are very real mental health challenges
924
00:35:57,000 --> 00:36:01,000
that people not just kids but people
925
00:35:59,000 --> 00:36:03,000
have for many many reasons including
926
00:36:01,000 --> 00:36:07,000
their phones and there's a cultural
927
00:36:03,000 --> 00:36:09,000
issue but like come on. It's I mean I
928
00:36:07,000 --> 00:36:12,000
know Trump University is a scam, but
929
00:36:09,000 --> 00:36:14,000
when there's no grades, isn't that a
930
00:36:12,000 --> 00:36:18,000
scam, too? I mean,
931
00:36:14,000 --> 00:36:20,000
>> well, it it's I mean, what
932
00:36:18,000 --> 00:36:22,000
>> it it goes to the question of what
933
00:36:20,000 --> 00:36:23,000
college is what a four-year degree is
934
00:36:22,000 --> 00:36:26,000
really training kids for.
935
00:36:23,000 --> 00:36:28,000
>> Well, I let me answer that now. This is
936
00:36:26,000 --> 00:36:30,000
this is nothing. This is the second this
937
00:36:28,000 --> 00:36:33,000
is even scarier.
938
00:36:30,000 --> 00:36:35,000
>> AI, which in the old days, like two
939
00:36:33,000 --> 00:36:37,000
years ago,
940
00:36:35,000 --> 00:36:38,000
was writing the papers.
941
00:36:37,000 --> 00:36:40,000
>> Uhhuh.
942
00:36:38,000 --> 00:36:43,000
>> And sometimes grading them.
943
00:36:40,000 --> 00:36:46,000
Now it can take the course all by
944
00:36:43,000 --> 00:36:48,000
itself. This AI taking college courses.
945
00:36:46,000 --> 00:36:50,000
This is from your paper
946
00:36:48,000 --> 00:36:52,000
>> with simple commands like log in and
947
00:36:50,000 --> 00:36:55,000
complete my quiz.
948
00:36:52,000 --> 00:36:57,000
>> Mhm.
949
00:36:55,000 --> 00:36:59,000
>> It can lecture take watch lecture
950
00:36:57,000 --> 00:37:01,000
videos, take tests, write papers, and
951
00:36:59,000 --> 00:37:04,000
chat with classmates about reading
952
00:37:01,000 --> 00:37:06,000
assignments. Students may never meet
953
00:37:04,000 --> 00:37:06,000
with their professors or their peers.
954
00:37:06,000 --> 00:37:07,000
>> Yeah.
955
00:37:06,000 --> 00:37:09,000
>> What's the point?
956
00:37:07,000 --> 00:37:14,000
>> What the [ __ ]
957
00:37:09,000 --> 00:37:15,000
>> I mean, what let me let me defend take a
958
00:37:14,000 --> 00:37:18,000
little bit of an unorthodox approach
959
00:37:15,000 --> 00:37:20,000
here and defend the kids because I don't
960
00:37:18,000 --> 00:37:22,000
actually think that all of this is their
961
00:37:20,000 --> 00:37:25,000
fault. They've been told by CEOs from AI
962
00:37:22,000 --> 00:37:27,000
companies that this technology is going
963
00:37:25,000 --> 00:37:28,000
to replace them. So to so to a certain
964
00:37:27,000 --> 00:37:30,000
degree, it seems like a lot of them by
965
00:37:28,000 --> 00:37:31,000
adapting this adapting to this
966
00:37:30,000 --> 00:37:32,000
technology and having it do everything
967
00:37:31,000 --> 00:37:35,000
for them are basically saying, "All
968
00:37:32,000 --> 00:37:38,000
right, let's get on with it." Uh, but at
969
00:37:35,000 --> 00:37:41,000
the same time, what they could be doing
970
00:37:38,000 --> 00:37:43,000
with this, like how Dana uses AI, how I
971
00:37:41,000 --> 00:37:45,000
try to use AI, how I'm sure you do, is
972
00:37:43,000 --> 00:37:46,000
to make your make yourself better at the
973
00:37:45,000 --> 00:37:47,000
job that you're doing, more efficient.
974
00:37:46,000 --> 00:37:49,000
>> I don't use it.
975
00:37:47,000 --> 00:37:50,000
>> What they're doing, I don't want it
976
00:37:49,000 --> 00:37:53,000
>> at all. Nothing.
977
00:37:50,000 --> 00:37:56,000
>> I don't want it in my phone. The second
978
00:37:53,000 --> 00:37:58,000
I the second people started hamming it
979
00:37:56,000 --> 00:38:00,000
and telling me what it did and and oh it
980
00:37:58,000 --> 00:38:01,000
>> it knows everything about you. It's in
981
00:38:00,000 --> 00:38:03,000
your phone. It sees every one of your
982
00:38:01,000 --> 00:38:05,000
pictures. It knows every text you ever
983
00:38:03,000 --> 00:38:08,000
sent. You think I want that in my
984
00:38:05,000 --> 00:38:10,000
[ __ ] phone?
985
00:38:08,000 --> 00:38:11,000
>> You people are crazy if you're doing
986
00:38:10,000 --> 00:38:13,000
this. You're crazy.
987
00:38:11,000 --> 00:38:14,000
>> Well, what what it does is
988
00:38:13,000 --> 00:38:15,000
>> and it can't do my job.
989
00:38:14,000 --> 00:38:16,000
>> What what
990
00:38:15,000 --> 00:38:19,000
>> that is for sure.
991
00:38:16,000 --> 00:38:22,000
>> What people have told
992
00:38:19,000 --> 00:38:23,000
>> I hope these
993
00:38:22,000 --> 00:38:25,000
Thank you.
994
00:38:23,000 --> 00:38:28,000
>> What the heads of these AI companies
995
00:38:25,000 --> 00:38:29,000
have been all too eager to tell us is
996
00:38:28,000 --> 00:38:32,000
that this technology is going to replace
997
00:38:29,000 --> 00:38:35,000
us. That it will do everything that you
998
00:38:32,000 --> 00:38:36,000
used to do when really it's not going to
999
00:38:35,000 --> 00:38:38,000
do that. It is never going to replace
1000
00:38:36,000 --> 00:38:40,000
human beings. It's going to make our
1001
00:38:38,000 --> 00:38:43,000
jobs easier and and in some ways make
1002
00:38:40,000 --> 00:38:44,000
workers more efficient. So people should
1003
00:38:43,000 --> 00:38:47,000
really uh you know if you're teaching
1004
00:38:44,000 --> 00:38:49,000
students how to use this as a way to not
1005
00:38:47,000 --> 00:38:52,000
do their work instead of using it as a
1006
00:38:49,000 --> 00:38:54,000
way to improve their work. It's just not
1007
00:38:52,000 --> 00:38:57,000
going to ever be a you know a tool that
1008
00:38:54,000 --> 00:38:58,000
they learn how to use appropriately.
1009
00:38:57,000 --> 00:39:01,000
>> But I I think one of the if there is a
1010
00:38:58,000 --> 00:39:04,000
benefit from AI I think it is if you
1011
00:39:01,000 --> 00:39:06,000
think about it it is a reminder of why
1012
00:39:04,000 --> 00:39:08,000
human interaction is so important. Like
1013
00:39:06,000 --> 00:39:10,000
I mean just even here
1014
00:39:08,000 --> 00:39:12,000
>> this is not you can't have this as an AI
1015
00:39:10,000 --> 00:39:16,000
experience. There are real human beings
1016
00:39:12,000 --> 00:39:19,000
here watching a
1017
00:39:16,000 --> 00:39:21,000
show and that can't be replicated in AI.
1018
00:39:19,000 --> 00:39:23,000
It just can't. It just can't. And for
1019
00:39:21,000 --> 00:39:25,000
the students, I understand that there
1020
00:39:23,000 --> 00:39:28,000
are some reasons why students want to go
1021
00:39:25,000 --> 00:39:30,000
online, but it is also a reminder of how
1022
00:39:28,000 --> 00:39:32,000
great it is to have a human interaction
1023
00:39:30,000 --> 00:39:35,000
with fellow students in a classroom with
1024
00:39:32,000 --> 00:39:37,000
a professor to there are things that you
1025
00:39:35,000 --> 00:39:39,000
just can't learn or even pretend to
1026
00:39:37,000 --> 00:39:40,000
learn if you're dealing with a AI
1027
00:39:39,000 --> 00:39:42,000
without that human interaction.
1028
00:39:40,000 --> 00:39:44,000
>> I take your point, it's not all their
1029
00:39:42,000 --> 00:39:46,000
fault, but it's also I've said this
1030
00:39:44,000 --> 00:39:49,000
before, but we talked about AI. It is
1031
00:39:46,000 --> 00:39:51,000
also their place to stop it. They're the
1032
00:39:49,000 --> 00:39:53,000
younger generation when they want to
1033
00:39:51,000 --> 00:39:54,000
protest against something. Yeah. They're
1034
00:39:53,000 --> 00:39:58,000
not shy about it. Right.
1035
00:39:54,000 --> 00:40:00,000
>> Okay. So, they're using it. If AI can do
1036
00:39:58,000 --> 00:40:02,000
the job of going to school for you
1037
00:40:00,000 --> 00:40:04,000
>> completely,
1038
00:40:02,000 --> 00:40:06,000
>> why wouldn't it be able to do the job
1039
00:40:04,000 --> 00:40:08,000
you were going to get trained for in
1040
00:40:06,000 --> 00:40:10,000
school? So, you're you're building your
1041
00:40:08,000 --> 00:40:12,000
own gallows.
1042
00:40:10,000 --> 00:40:16,000
>> It's up to that generation to
1043
00:40:12,000 --> 00:40:19,000
>> stand across history and say, "Stop."
1044
00:40:16,000 --> 00:40:22,000
Um, and I don't think we can look to the
1045
00:40:19,000 --> 00:40:24,000
Silicon Valley companies for any type of
1046
00:40:22,000 --> 00:40:25,000
moral leadership on this issue. I mean
1047
00:40:24,000 --> 00:40:27,000
that and that's a big, you know, when
1048
00:40:25,000 --> 00:40:28,000
you talk to to the heads of these
1049
00:40:27,000 --> 00:40:31,000
companies, which you and I have both
1050
00:40:28,000 --> 00:40:33,000
done as part of our jobs, they what's
1051
00:40:31,000 --> 00:40:37,000
striking is how often they liken their
1052
00:40:33,000 --> 00:40:39,000
work to a humanitarian cause, to saving
1053
00:40:37,000 --> 00:40:40,000
civilization. And I'm not kidding. They
1054
00:40:39,000 --> 00:40:42,000
really see it this way. And if this
1055
00:40:40,000 --> 00:40:44,000
doesn't sound too much like Facebook as
1056
00:40:42,000 --> 00:40:46,000
you know the the promoter of democracy
1057
00:40:44,000 --> 00:40:48,000
and free speech in the town square that
1058
00:40:46,000 --> 00:40:50,000
was going to be good for us all then you
1059
00:40:48,000 --> 00:40:52,000
know I think you should take take
1060
00:40:50,000 --> 00:40:56,000
another look at how you're reading this
1061
00:40:52,000 --> 00:40:58,000
>> and you also talked about something I
1062
00:40:56,000 --> 00:41:00,000
think you and I both agree on that this
1063
00:40:58,000 --> 00:41:02,000
is not just the beginning I mean the end
1064
00:41:00,000 --> 00:41:05,000
of the rot in higher education. It
1065
00:41:02,000 --> 00:41:06,000
started long ago when they stopped
1066
00:41:05,000 --> 00:41:09,000
teaching people things because they
1067
00:41:06,000 --> 00:41:12,000
became indoctrination centers. Two
1068
00:41:09,000 --> 00:41:14,000
stories from this week I think will show
1069
00:41:12,000 --> 00:41:17,000
you that this has now infected our
1070
00:41:14,000 --> 00:41:20,000
political discourse. Megan Romer, she is
1071
00:41:17,000 --> 00:41:22,000
the co-chair of the DSA. She was on
1072
00:41:20,000 --> 00:41:24,000
David Remnik's podcast
1073
00:41:22,000 --> 00:41:27,000
>> and she talked about taxing the hell out
1074
00:41:24,000 --> 00:41:30,000
of them and he said, "Um, what do you
1075
00:41:27,000 --> 00:41:31,000
mean by that?" And she said, "Uh, well,
1076
00:41:30,000 --> 00:41:32,000
you know, I don't really have a solid."
1077
00:41:31,000 --> 00:41:35,000
And then just ribbled off.
1078
00:41:32,000 --> 00:41:36,000
>> Yeah. And he said, "But shouldn't you
1079
00:41:35,000 --> 00:41:39,000
shouldn't you be more specific about
1080
00:41:36,000 --> 00:41:41,000
what taxing the hell means?
1081
00:41:39,000 --> 00:41:43,000
>> They don't know anything." Okay. Okay.
1082
00:41:41,000 --> 00:41:46,000
Then Lindsey Graham's sister
1083
00:41:43,000 --> 00:41:46,000
>> was running and is now running in South
1084
00:41:46,000 --> 00:41:49,000
Carolina.
1085
00:41:46,000 --> 00:41:51,000
>> She was asked about Taiwan and she said,
1086
00:41:49,000 --> 00:41:53,000
"I'm not that informed on social on
1087
00:41:51,000 --> 00:41:55,000
national security." Well, you're running
1088
00:41:53,000 --> 00:41:57,000
for the Senate. That's not an answer
1089
00:41:55,000 --> 00:42:00,000
that is acceptable. I'm not that
1090
00:41:57,000 --> 00:42:01,000
informed. I guess my question is, does
1091
00:42:00,000 --> 00:42:04,000
it matter that people don't know
1092
00:42:01,000 --> 00:42:06,000
anything? Yes.
1093
00:42:04,000 --> 00:42:09,000
>> I'm so glad you're here.
1094
00:42:06,000 --> 00:42:12,000
So glad you're here.
1095
00:42:09,000 --> 00:42:15,000
>> One word answer. Yes. It matters a lot.
1096
00:42:12,000 --> 00:42:17,000
It matters a lot. But I will say that I
1097
00:42:15,000 --> 00:42:20,000
that interview that David Remnick did
1098
00:42:17,000 --> 00:42:22,000
with the DSA chair was is something that
1099
00:42:20,000 --> 00:42:25,000
everybody should watch as an hopefully
1100
00:42:22,000 --> 00:42:27,000
an antidote to what you just said.
1101
00:42:25,000 --> 00:42:31,000
>> This isn't this is like real life. This
1102
00:42:27,000 --> 00:42:34,000
isn't just a string of slogans put
1103
00:42:31,000 --> 00:42:36,000
together. It's actual policy that when
1104
00:42:34,000 --> 00:42:39,000
you get to a place where you're running
1105
00:42:36,000 --> 00:42:41,000
for uh elected office or if you actually
1106
00:42:39,000 --> 00:42:42,000
are successful in elected office, you
1107
00:42:41,000 --> 00:42:43,000
got to know stuff.
1108
00:42:42,000 --> 00:42:45,000
>> Yeah. And by the way, there's been a
1109
00:42:43,000 --> 00:42:47,000
slew of interviews just like this where
1110
00:42:45,000 --> 00:42:49,000
candidates for who represent the
1111
00:42:47,000 --> 00:42:52,000
Democratic Socialists of America have
1112
00:42:49,000 --> 00:42:55,000
really struggled to articulate how they
1113
00:42:52,000 --> 00:42:58,000
don't subscribe to communism, whether or
1114
00:42:55,000 --> 00:43:01,000
not they really believe in Marxism and
1115
00:42:58,000 --> 00:43:04,000
basic facts about how their ideology
1116
00:43:01,000 --> 00:43:06,000
would help them govern the United States
1117
00:43:04,000 --> 00:43:08,000
out of this affordability crisis. Look,
1118
00:43:06,000 --> 00:43:10,000
a lot of these people are are really
1119
00:43:08,000 --> 00:43:13,000
talented politically. I think you know M
1120
00:43:10,000 --> 00:43:15,000
Dani is a generational political talent.
1121
00:43:13,000 --> 00:43:18,000
He's out of the democratic socialists of
1122
00:43:15,000 --> 00:43:20,000
America. Um this uh say El Say in
1123
00:43:18,000 --> 00:43:22,000
Michigan is also very talented. He's not
1124
00:43:20,000 --> 00:43:25,000
a democratic socialist although they do
1125
00:43:22,000 --> 00:43:27,000
claim him as one of their own. But by
1126
00:43:25,000 --> 00:43:28,000
and large a lot of these candidates come
1127
00:43:27,000 --> 00:43:30,000
out of the activist wing of the party.
1128
00:43:28,000 --> 00:43:32,000
They're very academic. They're, you
1129
00:43:30,000 --> 00:43:34,000
know, very into, you know, reading
1130
00:43:32,000 --> 00:43:36,000
reading Karl Marx and and and left-wing
1131
00:43:34,000 --> 00:43:38,000
theory. And we've seen time and time
1132
00:43:36,000 --> 00:43:42,000
again that a lot of them just don't
1133
00:43:38,000 --> 00:43:44,000
withstand the scrutiny.
1134
00:43:42,000 --> 00:43:45,000
>> There was a story I mean if you're
1135
00:43:44,000 --> 00:43:47,000
talking about academics this week I just
1136
00:43:45,000 --> 00:43:49,000
have to bring this up. This Jason Arday
1137
00:43:47,000 --> 00:43:51,000
story. He's a professor. Really sad.
1138
00:43:49,000 --> 00:43:53,000
>> Very sad. It turned into it was a
1139
00:43:51,000 --> 00:43:57,000
suicide at the I mean a week ago it was
1140
00:43:53,000 --> 00:43:58,000
not that story. He was the first black
1141
00:43:57,000 --> 00:43:59,000
professor at Cambridge I think.
1142
00:43:58,000 --> 00:43:59,000
>> Yes.
1143
00:43:59,000 --> 00:44:00,000
>> Young
1144
00:43:59,000 --> 00:44:03,000
>> and the youngest.
1145
00:44:00,000 --> 00:44:04,000
>> The youngest. Okay. Whenever I hear a
1146
00:44:03,000 --> 00:44:05,000
story like this, first of all, I don't
1147
00:44:04,000 --> 00:44:07,000
believe anything. I don't believe
1148
00:44:05,000 --> 00:44:08,000
anything anybody says, right? I have to
1149
00:44:07,000 --> 00:44:11,000
read two or three more articles, do a
1150
00:44:08,000 --> 00:44:13,000
deep dive. But the first story was,
1151
00:44:11,000 --> 00:44:15,000
okay, this guy was just wanted by the
1152
00:44:13,000 --> 00:44:18,000
left to be what they wanted him to be,
1153
00:44:15,000 --> 00:44:20,000
which was the first hero, professor,
1154
00:44:18,000 --> 00:44:22,000
black professor, but really he was
1155
00:44:20,000 --> 00:44:24,000
guilty of plagiarism and all sorts of
1156
00:44:22,000 --> 00:44:28,000
incredible lies. And because they're so
1157
00:44:24,000 --> 00:44:29,000
captivated by DEI and wanting this, they
1158
00:44:28,000 --> 00:44:31,000
just let him pass. And I, well, I'm
1159
00:44:29,000 --> 00:44:32,000
going to check this out. No, that's
1160
00:44:31,000 --> 00:44:34,000
exactly what happened, right?
1161
00:44:32,000 --> 00:44:35,000
>> It's the soft bigotry of low.
1162
00:44:34,000 --> 00:44:38,000
>> It's not just that they let him pass.
1163
00:44:35,000 --> 00:44:41,000
It's that they ignored the glaring red
1164
00:44:38,000 --> 00:44:42,000
flags like grammatical errors in his
1165
00:44:41,000 --> 00:44:44,000
thesis and things in his back in his
1166
00:44:42,000 --> 00:44:47,000
backtory that just didn't add up like
1167
00:44:44,000 --> 00:44:50,000
running 30 marathons in 35 days. And to
1168
00:44:47,000 --> 00:44:53,000
me, Cambridge has a lot of explaining to
1169
00:44:50,000 --> 00:44:56,000
do about how they seem to have really
1170
00:44:53,000 --> 00:44:58,000
cynically used this person who was
1171
00:44:56,000 --> 00:45:01,000
obviously struggling with mental illness
1172
00:44:58,000 --> 00:45:02,000
to further their own diversity. He said
1173
00:45:01,000 --> 00:45:04,000
goals.
1174
00:45:02,000 --> 00:45:08,000
>> He didn't learn to speak until he was
1175
00:45:04,000 --> 00:45:12,000
18, right? He he said he was autistic.
1176
00:45:08,000 --> 00:45:16,000
He said a number of diseases. He said uh
1177
00:45:12,000 --> 00:45:19,000
he was uh where was Oh, I can't find it,
1178
00:45:16,000 --> 00:45:21,000
but he was just crazy. Oh, he's
1179
00:45:19,000 --> 00:45:23,000
testicular cancer, brain tumor,
1180
00:45:21,000 --> 00:45:26,000
epilepsy, locked in syndrome. I don't
1181
00:45:23,000 --> 00:45:29,000
know what that is. He said he ran the
1182
00:45:26,000 --> 00:45:32,000
marathons with a broken leg.
1183
00:45:29,000 --> 00:45:35,000
>> He said he was mute until age 11 and
1184
00:45:32,000 --> 00:45:38,000
illiterate until 18 and then became the
1185
00:45:35,000 --> 00:45:41,000
greatest professor in I mean, it's like
1186
00:45:38,000 --> 00:45:43,000
a prank. like, can we make liberals who
1187
00:45:41,000 --> 00:45:45,000
want to believe this actually do it? And
1188
00:45:43,000 --> 00:45:46,000
they did. And it's not much more
1189
00:45:45,000 --> 00:45:46,000
complicated than that.
1190
00:45:46,000 --> 00:45:50,000
>> Well,
1191
00:45:46,000 --> 00:45:50,000
>> white people are crazy.
1192
00:45:53,000 --> 00:45:59,000
>> And to back that up, what is sad and
1193
00:45:56,000 --> 00:46:02,000
tragic is, as you said, perhaps
1194
00:45:59,000 --> 00:46:05,000
Cambridge let him down, but it once this
1195
00:46:02,000 --> 00:46:06,000
got out and the investigation began,
1196
00:46:05,000 --> 00:46:09,000
then the mob went after him.
1197
00:46:06,000 --> 00:46:13,000
>> Mhm. And it was, you know, in the UK the
1198
00:46:09,000 --> 00:46:15,000
press are tough to say the least and
1199
00:46:13,000 --> 00:46:18,000
kind of what you were talking about
1200
00:46:15,000 --> 00:46:20,000
before about sort of the hate mob and
1201
00:46:18,000 --> 00:46:22,000
that's what happened to him. Now if he
1202
00:46:20,000 --> 00:46:24,000
had underlying I mean obviously he had
1203
00:46:22,000 --> 00:46:26,000
underlying mental health issues he he
1204
00:46:24,000 --> 00:46:28,000
took his own life but it's those two
1205
00:46:26,000 --> 00:46:30,000
things combined that is such a
1206
00:46:28,000 --> 00:46:32,000
cautionary tale of where we are right
1207
00:46:30,000 --> 00:46:35,000
now society and culturally. the system
1208
00:46:32,000 --> 00:46:37,000
played a huge role in his death and if
1209
00:46:35,000 --> 00:46:39,000
if Cambridge is doing an honest
1210
00:46:37,000 --> 00:46:40,000
examination of this they you know they
1211
00:46:39,000 --> 00:46:42,000
should address that.
1212
00:46:40,000 --> 00:46:44,000
>> They should. All right. Thank you guys.
1213
00:46:42,000 --> 00:46:47,000
Time for new rules.
1214
00:46:44,000 --> 00:46:47,000
Okay.
1215
00:46:50,000 --> 00:46:55,000
All right.
1216
00:46:53,000 --> 00:46:56,000
No, everyone in the media who's having a
1217
00:46:55,000 --> 00:46:59,000
good time mocking Kaia Gerber for
1218
00:46:56,000 --> 00:47:01,000
revealing that when she was a child, she
1219
00:46:59,000 --> 00:47:08,000
had an exorcism performed on her with a
1220
00:47:01,000 --> 00:47:08,000
derigit is missing the point. It works
1221
00:47:12,000 --> 00:47:16,000
because when some hippie starts playing
1222
00:47:14,000 --> 00:47:20,000
the derigue, even evil spirits say,
1223
00:47:16,000 --> 00:47:20,000
"Let's get the [ __ ] out of here.
1224
00:47:24,000 --> 00:47:28,000
Uh, new world drug companies have to
1225
00:47:26,000 --> 00:47:33,000
make at least one ad for prescription
1226
00:47:28,000 --> 00:47:33,000
medication where no one becomes a DJ
1227
00:47:34,000 --> 00:47:37,000
or
1228
00:47:39,000 --> 00:47:43,000
or at least list it as a possible side
1229
00:47:41,000 --> 00:47:45,000
effect. Stop using Skyrizzy if you're a
1230
00:47:43,000 --> 00:47:47,000
white man in your 40s and you experience
1231
00:47:45,000 --> 00:47:50,000
the uncontrollable urge to drop sick
1232
00:47:47,000 --> 00:47:50,000
beats.
1233
00:47:55,000 --> 00:48:00,000
Uh, Nural, now that researchers have
1234
00:47:57,000 --> 00:48:04,000
proven that dogs can tell if people are
1235
00:48:00,000 --> 00:48:09,000
happy or sad by reading our faces, they
1236
00:48:04,000 --> 00:48:09,000
must teach dogs to do that with legs,
1237
00:48:15,000 --> 00:48:21,000
>> which they always always seem to read as
1238
00:48:18,000 --> 00:48:22,000
asking for for it.
1239
00:48:21,000 --> 00:48:25,000
New roll. Don't be surprised that
1240
00:48:22,000 --> 00:48:26,000
Michael Jackson's daughter, Paris, says
1241
00:48:25,000 --> 00:48:28,000
he would make her finish her homework
1242
00:48:26,000 --> 00:48:31,000
before he'd let her go outside and play.
1243
00:48:28,000 --> 00:48:34,000
That was Michael's way. He was always
1244
00:48:31,000 --> 00:48:34,000
very hard with kids.
1245
00:48:41,000 --> 00:48:47,000
>> Uh, new rule. Now that Air France uh
1246
00:48:44,000 --> 00:48:50,000
decided to close the sauna area in its
1247
00:48:47,000 --> 00:48:55,000
Paris lounge because passengers were
1248
00:48:50,000 --> 00:48:55,000
using it for inappropriate activity.
1249
00:48:56,000 --> 00:49:02,000
>> I have to ask, what happened to you,
1250
00:48:59,000 --> 00:49:02,000
France?
1251
00:49:08,000 --> 00:49:11,000
You gave the world inappropriate
1252
00:49:10,000 --> 00:49:14,000
activity.
1253
00:49:11,000 --> 00:49:19,000
The French kiss, the topless beach
1254
00:49:14,000 --> 00:49:19,000
lingerie, the managatu,
1255
00:49:19,000 --> 00:49:22,000
that thing where husbands and wives
1256
00:49:21,000 --> 00:49:25,000
don't ask each other where they were
1257
00:49:22,000 --> 00:49:30,000
from 5 to 7
1258
00:49:25,000 --> 00:49:32,000
and now you're Utah with croissant.
1259
00:49:30,000 --> 00:49:34,000
I'm sorry, but if two, possibly three
1260
00:49:32,000 --> 00:49:36,000
consenting adults can't do it between
1261
00:49:34,000 --> 00:49:39,000
connecting flights in the airport, then
1262
00:49:36,000 --> 00:49:43,000
maybe Tucker Carlson is right. Why did
1263
00:49:39,000 --> 00:49:43,000
we even defeat the Nazis?
1264
00:49:46,000 --> 00:49:51,000
And finally, new rule, free the
1265
00:49:49,000 --> 00:49:53,000
workplace romance. Let's go back to
1266
00:49:51,000 --> 00:49:55,000
letting love connections happen at the
1267
00:49:53,000 --> 00:49:57,000
office. It's funny. All I hear about
1268
00:49:55,000 --> 00:50:00,000
these days is the loneliness epidemic
1269
00:49:57,000 --> 00:50:04,000
and how nobody socializes anymore and
1270
00:50:00,000 --> 00:50:06,000
Jenzie isn't dating. Jenz isn't [ __ ]
1271
00:50:04,000 --> 00:50:09,000
Here's a crazy idea. Stop being overly
1272
00:50:06,000 --> 00:50:11,000
paranoid about power imbalances in one
1273
00:50:09,000 --> 00:50:14,000
of the last places humans actually
1274
00:50:11,000 --> 00:50:17,000
interact anymore and let people [ __ ] at
1275
00:50:14,000 --> 00:50:17,000
work.
1276
00:50:22,000 --> 00:50:28,000
>> I I don't mean literally have sex in the
1277
00:50:25,000 --> 00:50:31,000
supply closet, but flirt, acknowledge
1278
00:50:28,000 --> 00:50:32,000
mutual attraction, and maybe get into a
1279
00:50:31,000 --> 00:50:36,000
relationship and then have sex in the
1280
00:50:32,000 --> 00:50:36,000
supply closet.
1281
00:50:36,000 --> 00:50:39,000
But
1282
00:50:40,000 --> 00:50:45,000
but that's not really where we are
1283
00:50:42,000 --> 00:50:47,000
because America always overreacts
1284
00:50:45,000 --> 00:50:49,000
usually on the side of too much safety.
1285
00:50:47,000 --> 00:50:52,000
We did it with overprotecting our
1286
00:50:49,000 --> 00:50:54,000
children. We did it with drugs because
1287
00:50:52,000 --> 00:50:56,000
some people get addicted. For decades,
1288
00:50:54,000 --> 00:50:59,000
no one was allowed to even smoke pot
1289
00:50:56,000 --> 00:51:01,000
legally. And we do it with sex. In
1290
00:50:59,000 --> 00:51:03,000
Congress, they already have a rule that
1291
00:51:01,000 --> 00:51:05,000
says you can't date anyone in your own
1292
00:51:03,000 --> 00:51:08,000
office. And now they're considering one
1293
00:51:05,000 --> 00:51:09,000
supported by Speaker Mike Johnson that
1294
00:51:08,000 --> 00:51:12,000
would ban members from dating any
1295
00:51:09,000 --> 00:51:14,000
staffer from any office because telling
1296
00:51:12,000 --> 00:51:16,000
people who they're allowed to love is
1297
00:51:14,000 --> 00:51:18,000
repulsive when the Bible does it. But
1298
00:51:16,000 --> 00:51:21,000
it's okay when it's a weirdo like Mike
1299
00:51:18,000 --> 00:51:21,000
Johnson
1300
00:51:21,000 --> 00:51:24,000
who who
1301
00:51:25,000 --> 00:51:31,000
Mike Johnson who who has an app on his
1302
00:51:28,000 --> 00:51:34,000
phone called Covenant Eyes which scans
1303
00:51:31,000 --> 00:51:36,000
everything you open and reports any porn
1304
00:51:34,000 --> 00:51:40,000
use to a sponsor which in this case is
1305
00:51:36,000 --> 00:51:42,000
his son. Ew.
1306
00:51:40,000 --> 00:51:45,000
But you know Mike is not the only one
1307
00:51:42,000 --> 00:51:48,000
who supports this. It's bipartisan. AOC
1308
00:51:45,000 --> 00:51:50,000
agrees. Yeah. She says no one who works
1309
00:51:48,000 --> 00:51:53,000
on Capitol Hill should ever date anybody
1310
00:51:50,000 --> 00:51:55,000
else who works on Capitol Hill. Okay.
1311
00:51:53,000 --> 00:51:56,000
But where else are they supposed to
1312
00:51:55,000 --> 00:51:59,000
meet? It's where they spend all their
1313
00:51:56,000 --> 00:52:03,000
time. They run home to get 4 hours of
1314
00:51:59,000 --> 00:52:05,000
sleep, eat a toaster strudel, and
1315
00:52:03,000 --> 00:52:07,000
run back to the office to write the
1316
00:52:05,000 --> 00:52:09,000
actual bills that their bosses, the
1317
00:52:07,000 --> 00:52:10,000
elected representatives, don't even
1318
00:52:09,000 --> 00:52:13,000
read.
1319
00:52:10,000 --> 00:52:15,000
But AOC says there are a lot of fish in
1320
00:52:13,000 --> 00:52:17,000
the sea. If someone is seeking a
1321
00:52:15,000 --> 00:52:20,000
partner, we don't need to necessarily do
1322
00:52:17,000 --> 00:52:22,000
that here. Uh, no, you don't have to,
1323
00:52:20,000 --> 00:52:26,000
but maybe if you did, your eggs wouldn't
1324
00:52:22,000 --> 00:52:26,000
be in a freezer on 14th Street.
1325
00:52:32,000 --> 00:52:37,000
Look, please, I'm all for it. Freezing
1326
00:52:35,000 --> 00:52:40,000
eggs or whatever you want to do that's
1327
00:52:37,000 --> 00:52:42,000
consensual, and that's the point. Stop
1328
00:52:40,000 --> 00:52:45,000
punishing all the people who want a
1329
00:52:42,000 --> 00:52:47,000
consensual relationship because offices
1330
00:52:45,000 --> 00:52:50,000
contain some male creeps as does
1331
00:52:47,000 --> 00:52:52,000
everywhere in life. The question is, is
1332
00:52:50,000 --> 00:52:56,000
it the smart thing to throw out the baby
1333
00:52:52,000 --> 00:52:59,000
making with the bathwater?
1334
00:52:56,000 --> 00:52:59,000
And
1335
00:53:01,000 --> 00:53:07,000
according to a recent article in Inc.
1336
00:53:04,000 --> 00:53:09,000
called Jenzers and Millennials want
1337
00:53:07,000 --> 00:53:12,000
workplace romance normalized even if it
1338
00:53:09,000 --> 00:53:14,000
breaks company rules. No, it's not.
1339
00:53:12,000 --> 00:53:16,000
Because here's the thing. While there
1340
00:53:14,000 --> 00:53:20,000
are plenty of fish in the sea, there
1341
00:53:16,000 --> 00:53:21,000
aren't a lot of seas.
1342
00:53:20,000 --> 00:53:23,000
That is not a lot of places to meet
1343
00:53:21,000 --> 00:53:25,000
fish.
1344
00:53:23,000 --> 00:53:27,000
The workplace is where most people have
1345
00:53:25,000 --> 00:53:31,000
always done it. It's where most married
1346
00:53:27,000 --> 00:53:31,000
couples caught their fish.
1347
00:53:34,000 --> 00:53:39,000
Forbes did a study and found 43% of
1348
00:53:37,000 --> 00:53:43,000
workplace romances ended in marriage.
1349
00:53:39,000 --> 00:53:47,000
The other 50% 57% ended on the jumbotron
1350
00:53:43,000 --> 00:53:47,000
at a Coldplay concert.
1351
00:53:50,000 --> 00:53:53,000
Now,
1352
00:53:55,000 --> 00:54:01,000
is the workplace the perfect place to
1353
00:53:57,000 --> 00:54:03,000
be? No. But what's better? dating apps,
1354
00:54:01,000 --> 00:54:05,000
bars, which are now places where people
1355
00:54:03,000 --> 00:54:08,000
go out and yet somehow are still on
1356
00:54:05,000 --> 00:54:08,000
their phone.
1357
00:54:08,000 --> 00:54:13,000
Of course, no woman in off in an office
1358
00:54:11,000 --> 00:54:15,000
wants the guy in the next cubicle giving
1359
00:54:13,000 --> 00:54:18,000
unsolicited back rubs or making comments
1360
00:54:15,000 --> 00:54:22,000
about her appearance, unless he's cute
1361
00:54:18,000 --> 00:54:26,000
and then it's why is he ignoring me?
1362
00:54:22,000 --> 00:54:28,000
But that stuff is already, if not
1363
00:54:26,000 --> 00:54:31,000
outright illegal, very frowned upon.
1364
00:54:28,000 --> 00:54:34,000
This is 2026. Every company has an HR
1365
00:54:31,000 --> 00:54:36,000
department. Now, when a true predator
1366
00:54:34,000 --> 00:54:39,000
like Eric Swallwell was finally exposed,
1367
00:54:36,000 --> 00:54:42,000
people said, "What took so long?" Well,
1368
00:54:39,000 --> 00:54:45,000
what took so long is nobody reported it
1369
00:54:42,000 --> 00:54:48,000
for a long time. Now, does it take guts
1370
00:54:45,000 --> 00:54:51,000
to do that? Sure. Yes. But call me a
1371
00:54:48,000 --> 00:54:54,000
radical feminist. I think women in 2026
1372
00:54:51,000 --> 00:54:56,000
are capable of guts and of handling most
1373
00:54:54,000 --> 00:54:59,000
clumsy overtures without an act from
1374
00:54:56,000 --> 00:54:59,000
Congress.
1375
00:55:01,000 --> 00:55:06,000
There is a congressman from North
1376
00:55:03,000 --> 00:55:08,000
Carolina, Chuck Edwards, Republican,
1377
00:55:06,000 --> 00:55:13,000
Christian, married to the same woman for
1378
00:55:08,000 --> 00:55:13,000
40 years. Not really my jam.
1379
00:55:16,000 --> 00:55:19,000
But I also don't think he should have
1380
00:55:17,000 --> 00:55:23,000
been forced out of his race, which he
1381
00:55:19,000 --> 00:55:26,000
was, for what he did, which wasn't much.
1382
00:55:23,000 --> 00:55:28,000
A bipartisan House ethics committee did
1383
00:55:26,000 --> 00:55:31,000
a full investigation and found zero
1384
00:55:28,000 --> 00:55:34,000
evidence of sexual activity, physical
1385
00:55:31,000 --> 00:55:36,000
contact, or lewd propositions. No. What
1386
00:55:34,000 --> 00:55:39,000
Chuck did was buy the women in his
1387
00:55:36,000 --> 00:55:42,000
office gifts. A lot of them. He bought
1388
00:55:39,000 --> 00:55:44,000
shoes, jewelry, purses, cell phones,
1389
00:55:42,000 --> 00:55:46,000
laptops, massages, kitchen appliances,
1390
00:55:44,000 --> 00:55:49,000
spa treatments. You know, a real
1391
00:55:46,000 --> 00:55:49,000
monster.
1392
00:55:51,000 --> 00:55:57,000
One time, one time after a staffer had a
1393
00:55:54,000 --> 00:55:59,000
bad breakup, Congressman Edwards paid
1394
00:55:57,000 --> 00:56:01,000
for her and a friend to go to New York
1395
00:55:59,000 --> 00:56:05,000
and see Hamilton
1396
00:56:01,000 --> 00:56:07,000
>> without without him on the trip.
1397
00:56:05,000 --> 00:56:11,000
>> The only thing this guy couldn't keep in
1398
00:56:07,000 --> 00:56:11,000
his pants was his credit card.
1399
00:56:16,000 --> 00:56:21,000
There's a song in Hamilton called The
1400
00:56:18,000 --> 00:56:23,000
Room Where It Happens. And this tragic
1401
00:56:21,000 --> 00:56:26,000
castrad literally couldn't get in the
1402
00:56:23,000 --> 00:56:29,000
room where it happens,
1403
00:56:26,000 --> 00:56:31,000
a room he paid for, which explains his
1404
00:56:29,000 --> 00:56:35,000
campaign slogan. I still believe in a
1405
00:56:31,000 --> 00:56:35,000
place called the friend zone.
1406
00:56:39,000 --> 00:56:43,000
I tell you, thank goodness we stop this
1407
00:56:42,000 --> 00:56:46,000
sick, demented [ __ ] before he sends
1408
00:56:43,000 --> 00:56:49,000
another poor, defenseless woman on a spa
1409
00:56:46,000 --> 00:56:49,000
weekend.
1410
00:56:49,000 --> 00:56:54,000
This
1411
00:56:52,000 --> 00:56:57,000
this maniac even once arranged for a
1412
00:56:54,000 --> 00:56:59,000
singer at a staffer's birthday party.
1413
00:56:57,000 --> 00:57:01,000
And this was so traumatic that one
1414
00:56:59,000 --> 00:57:04,000
staffer confided in a friend that she
1415
00:57:01,000 --> 00:57:07,000
was low-key scared.
1416
00:57:04,000 --> 00:57:10,000
The congressional panel also found some
1417
00:57:07,000 --> 00:57:12,000
women were uncomfortable with the gifts.
1418
00:57:10,000 --> 00:57:14,000
Yeah, but not so uncomfortable they
1419
00:57:12,000 --> 00:57:17,000
didn't take them.
1420
00:57:14,000 --> 00:57:17,000
Maybe
1421
00:57:20,000 --> 00:57:25,000
Maybe let's all try a little more
1422
00:57:22,000 --> 00:57:27,000
romance and a little less hypocrisy. You
1423
00:57:25,000 --> 00:57:28,000
know, we hate it when people have sex in
1424
00:57:27,000 --> 00:57:33,000
the office, but you know what TV show?
1425
00:57:28,000 --> 00:57:33,000
We love The Office.
1426
00:57:35,000 --> 00:57:40,000
The most popular sitcom of all time,
1427
00:57:38,000 --> 00:57:42,000
reproduced all over the world, and the
1428
00:57:40,000 --> 00:57:45,000
entire show is an HR department's worst
1429
00:57:42,000 --> 00:57:47,000
nightmare. Everybody is either [ __ ]
1430
00:57:45,000 --> 00:57:51,000
or trying to [ __ ] everybody else. And it
1431
00:57:47,000 --> 00:57:54,000
doesn't make anybody low-key scared.
1432
00:57:51,000 --> 00:57:56,000
Jim and Pam, Jim and Karen, Michael and
1433
00:57:54,000 --> 00:57:58,000
Jan, Michael and Holly, Aaron and Gabe,
1434
00:57:56,000 --> 00:58:00,000
Aaron and Andy, Erin and Pete, Brian and
1435
00:57:58,000 --> 00:58:02,000
Kelly, Angela and Andy, Angela and
1436
00:58:00,000 --> 00:58:06,000
Dwight. There was less incestuous
1437
00:58:02,000 --> 00:58:07,000
[ __ ] in Fleetwood Mac.
1438
00:58:06,000 --> 00:58:09,000
All right, that's our show. I want to
1439
00:58:07,000 --> 00:58:11,000
thank Jeremy Peters, Denn Bash, and
1440
00:58:09,000 --> 00:58:14,000
Hunter Biden. Club Random drops every
1441
00:58:11,000 --> 00:58:16,000
Monday on YouTube or listen where you
1442
00:58:14,000 --> 00:58:18,000
get your podcast or go watch Overtime on
1443
00:58:16,000 --> 00:58:20,000
YouTube. Thank you very much, ladies and
1444
00:58:18,000 --> 00:58:23,000
gentlemen.
1445
00:58:20,000 --> 00:58:23,000
Thank you.
1446
00:58:54,000 --> 00:58:57,000
Heat. Heat.101748
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.