1
00:00:00,280 --> 00:00:03,040
Speaker 1: Let not your heart be troubled. You are listening to

2
00:00:03,080 --> 00:00:07,720
Speaker 1: the Sean Hannity radio show podcast. Tried to switch from

3
00:00:07,760 --> 00:00:10,520
Speaker 1: from looks to stamina. But this is a man who

4
00:00:10,520 --> 00:00:16,040
Speaker 1: has called women pigs, slobs, and dogs, and someone who

5
00:00:16,239 --> 00:00:20,680
Speaker 1: has said pregnancy is an inconvenience to employers, who has

6
00:00:20,720 --> 00:00:24,120
Speaker 1: said women don't deserve equal pay unless they do as

7
00:00:24,120 --> 00:00:27,000
Speaker 1: good a job as men. And one of the worst

8
00:00:27,000 --> 00:00:31,480
Speaker 1: things he said was about a woman in a beauty contest.

9
00:00:31,760 --> 00:00:35,440
Speaker 1: He loves beauty contests, supporting them and hanging around them,

10
00:00:35,760 --> 00:00:39,880
Speaker 1: and he called this woman miss Piggy. Then he called

11
00:00:39,920 --> 00:00:43,839
Speaker 1: her miss housekeeping because she was Latina Donald. She has

12
00:00:43,840 --> 00:00:50,080
Speaker 1: a name, her name, and she has become a US citizen,

13
00:00:50,200 --> 00:00:54,320
Speaker 1: and you can bet she's going to vote. But you

14
00:00:54,320 --> 00:00:57,800
Speaker 1: want to know that I was going to say something

15
00:00:58,360 --> 00:01:03,000
Speaker 1: fremely rough to Hillary, to her family, and I said

16
00:01:03,040 --> 00:01:06,200
Speaker 1: to myself, I can't do it. I just can't do it.

17
00:01:06,200 --> 00:01:10,319
Speaker 1: It's inappropriate, it's not nice. But she spent hundreds of

18
00:01:10,360 --> 00:01:13,600
Speaker 1: millions of dollars on negative ads on me, many of

19
00:01:13,600 --> 00:01:18,399
Speaker 1: which are absolutely untrue. They're untrue and their misrepresentations, And

20
00:01:18,600 --> 00:01:22,000
Speaker 1: I will tell you this, lester, it's not nice. And

21
00:01:22,160 --> 00:01:25,039
Speaker 1: I don't. I don't deserve that. But it's certainly not

22
00:01:25,160 --> 00:01:28,600
Speaker 1: a nice thing that she's done. It's hundreds of millions

23
00:01:28,600 --> 00:01:30,800
Speaker 1: of ads. And the only gratifying thing is I saw

24
00:01:30,840 --> 00:01:33,600
Speaker 1: the polls coming today and with all of that money,

25
00:01:33,680 --> 00:01:36,720
Speaker 1: over two hundred million dollars has spent and I'm either

26
00:01:36,800 --> 00:01:40,160
Speaker 1: winning or tied, and I've spent practically nothing. But in

27
00:01:40,240 --> 00:01:44,560
Speaker 1: all fairness to Secretary Clinton, when she started talking about this,

28
00:01:44,640 --> 00:01:46,800
Speaker 1: it was really very recently. She's been doing this for

29
00:01:46,840 --> 00:01:50,240
Speaker 1: thirty years. And why hasn't she made the agreements better?

30
00:01:50,760 --> 00:01:53,480
Speaker 1: The NAFTA agreement is defective just because of the tax

31
00:01:53,520 --> 00:01:56,120
Speaker 1: and many other reasons, but just because of the fact

32
00:01:56,720 --> 00:02:01,120
Speaker 1: Secretary Clinton and others politicians should have been doing this

33
00:02:01,280 --> 00:02:03,880
Speaker 1: for years, not right now, because of the fact that

34
00:02:03,880 --> 00:02:06,720
Speaker 1: we've created a movement. They should have been doing this

35
00:02:06,920 --> 00:02:10,639
Speaker 1: for years. What's happened to our jobs and our country

36
00:02:10,680 --> 00:02:16,399
Speaker 1: and our economy generally is Look, we owe twenty trillion dollars.

37
00:02:17,080 --> 00:02:20,320
Speaker 1: We cannot do it any longer. And Hillo, I just

38
00:02:20,360 --> 00:02:24,760
Speaker 1: ask you this. You've been doing this for thirty years.

39
00:02:25,160 --> 00:02:27,639
Speaker 1: Why are you just thinking about these solutions right now?

40
00:02:27,680 --> 00:02:30,079
Speaker 1: For thirty years, you've been doing it, and now you're

41
00:02:30,120 --> 00:02:32,839
Speaker 1: just starting to think of solutions. Well, I will bring

42
00:02:32,919 --> 00:02:36,119
Speaker 1: excuse me, I will bring back jobs you can't bring

43
00:02:36,120 --> 00:02:39,160
Speaker 1: back to well. Actually, um, I have thought about this

44
00:02:39,240 --> 00:02:45,920
Speaker 1: quite a bit years. I have well, not quite that log. Uh.

45
00:02:46,080 --> 00:02:49,240
Speaker 1: All right, there some of the moments from last night's debate.

46
00:02:49,320 --> 00:02:51,320
Speaker 1: Glad you are with us, boy, and we got a

47
00:02:51,400 --> 00:02:54,440
Speaker 1: lot of ground to cover here today. Eight nine for one, Shawn,

48
00:02:54,480 --> 00:02:55,680
Speaker 1: if you want to be a part of the program.

49
00:02:55,760 --> 00:03:00,520
Speaker 1: More than eighty million people viewed the presidential debate last night.

50
00:03:00,560 --> 00:03:03,760
Speaker 1: The previous record made it the most watch debate ever,

51
00:03:04,360 --> 00:03:08,800
Speaker 1: according to Nielsen Research. The previous record was the only

52
00:03:08,840 --> 00:03:12,240
Speaker 1: debate between Ronald Reagan and President Jimmy Carter, which drew

53
00:03:12,320 --> 00:03:15,760
Speaker 1: eighty million in an error with far fewer channels, no internet.

54
00:03:16,200 --> 00:03:18,160
Speaker 1: I'm not sure if you can even measure all of

55
00:03:18,160 --> 00:03:20,359
Speaker 1: the internet viewing that took place last night. I'm sure

56
00:03:20,360 --> 00:03:23,400
Speaker 1: it's a record by far less than what some people

57
00:03:23,400 --> 00:03:26,440
Speaker 1: have expected. All right, let me you know, it's amazing

58
00:03:26,600 --> 00:03:34,000
Speaker 1: to me how everybody doesn't get what's happening. And that's

59
00:03:34,000 --> 00:03:36,200
Speaker 1: why I guess I'm here, and that's why I have

60
00:03:36,400 --> 00:03:38,960
Speaker 1: this job so I can do the work of other

61
00:03:39,000 --> 00:03:41,560
Speaker 1: people because they can't be anymore wrong. First of all,

62
00:03:41,600 --> 00:03:45,840
Speaker 1: you gotta start with this. It was the single most

63
00:03:46,680 --> 00:03:52,840
Speaker 1: entertaining debate I have ever seen. If you've ever doubted

64
00:03:53,440 --> 00:03:58,720
Speaker 1: why what the American people are shouting. They are screaming

65
00:03:59,240 --> 00:04:02,600
Speaker 1: at both pol politicians and the media that they are

66
00:04:02,720 --> 00:04:06,040
Speaker 1: not doing their job and that they are out of touch.

67
00:04:07,000 --> 00:04:10,680
Speaker 1: And just like in every other previous debate, you tell

68
00:04:10,720 --> 00:04:12,880
Speaker 1: you know, there's a woman that wrote me today, I

69
00:04:13,160 --> 00:04:15,960
Speaker 1: thought Donald Trump did really well until I started watching

70
00:04:15,960 --> 00:04:18,680
Speaker 1: what everybody else thought about it. And I think that

71
00:04:18,960 --> 00:04:23,720
Speaker 1: kind of sums it up. If you listen to media elites,

72
00:04:23,760 --> 00:04:28,800
Speaker 1: the punditry class, they almost universally think Hillary Rodham Clinton

73
00:04:28,800 --> 00:04:33,680
Speaker 1: won that debate. I mean, just if you follow their commentary.

74
00:04:34,000 --> 00:04:39,000
Speaker 1: It is but millions of Americans voting online. And I

75
00:04:39,040 --> 00:04:42,040
Speaker 1: mean millions. I'm not talking about a small number of

76
00:04:42,080 --> 00:04:45,080
Speaker 1: people here. And it's not just the Drudge Report. It's

77
00:04:45,080 --> 00:04:49,279
Speaker 1: also CBS and CNBC and New Jersey dot Com and

78
00:04:49,360 --> 00:04:53,359
Speaker 1: Fortune Magazine and the Right Scoop and Slate and you

79
00:04:53,400 --> 00:04:57,440
Speaker 1: know stations in like w k R N and uh

80
00:04:57,920 --> 00:05:00,240
Speaker 1: I forget where that is, but w k R as

81
00:05:00,400 --> 00:05:05,480
Speaker 1: in Cincinnati. If you look at all of these different places, Um, sorry,

82
00:05:05,600 --> 00:05:12,279
Speaker 1: w CPO and Cincinnati, W Karen Is in Nashville, even variety, Slate, UM,

83
00:05:12,360 --> 00:05:17,120
Speaker 1: the Vegas Sun, Fox five, San Diego Fox Tribute, and

84
00:05:17,200 --> 00:05:21,000
Speaker 1: it goes on from that Time magazine. You know CNN,

85
00:05:21,200 --> 00:05:26,040
Speaker 1: Oh that's right, five people over sampled Democrats Hillary one, Okay, fine,

86
00:05:27,000 --> 00:05:31,720
Speaker 1: millions of Americans, millions of them taking the time, nearly

87
00:05:31,760 --> 00:05:35,520
Speaker 1: a million on Drudge alone and on my website, Hannity

88
00:05:35,600 --> 00:05:39,080
Speaker 1: dot com. Trump all right. You can say, well, Hannah,

89
00:05:39,080 --> 00:05:41,000
Speaker 1: to your supporting Trump, that's not fair, right, take mine

90
00:05:41,000 --> 00:05:45,119
Speaker 1: out of it. But millions of Americans decided they felt

91
00:05:45,120 --> 00:05:48,560
Speaker 1: so passionately about this debate that they took online and

92
00:05:48,760 --> 00:05:53,039
Speaker 1: they gave the debate handily to Donald Trump. And you

93
00:05:53,080 --> 00:05:58,080
Speaker 1: look at the polls and Donald Trump's momentum is is irrefutable.

94
00:05:59,000 --> 00:06:04,040
Speaker 1: He's he's a viously growing Now if you look at

95
00:06:04,800 --> 00:06:08,279
Speaker 1: you know, why is there this great divide? Because you've

96
00:06:08,279 --> 00:06:12,120
Speaker 1: got two different sets of standards by which these debates

97
00:06:12,160 --> 00:06:16,039
Speaker 1: are being judged. And it happened all throughout the Democratic primary.

98
00:06:16,279 --> 00:06:19,279
Speaker 1: If you look at Congress's approval rating right now, it

99
00:06:19,520 --> 00:06:23,839
Speaker 1: is twelve. If you look at the media's approval rating.

100
00:06:23,839 --> 00:06:26,680
Speaker 1: It's the lowest that has been in the history of polling.

101
00:06:27,400 --> 00:06:29,680
Speaker 1: If you look at what every exit poll in the

102
00:06:29,720 --> 00:06:36,120
Speaker 1: Republican primary showed of Republicans feel betrayed by their own party.

103
00:06:36,360 --> 00:06:38,839
Speaker 1: So I think this gets to the heart of what

104
00:06:38,920 --> 00:06:42,839
Speaker 1: this divide is all about. If you're a typical journalist,

105
00:06:43,320 --> 00:06:47,680
Speaker 1: if you're a typical politician, if you're a typical um

106
00:06:47,800 --> 00:06:52,520
Speaker 1: um TV pundit, you are now using a standard of

107
00:06:52,600 --> 00:06:56,560
Speaker 1: paradigm that no longer exists for real people in this country.

108
00:06:57,120 --> 00:06:59,919
Speaker 1: In other words, if you think the winner of the

109
00:07:00,080 --> 00:07:07,040
Speaker 1: debate is somebody that's robotic, somebody that memorized somebody else's

110
00:07:07,120 --> 00:07:12,200
Speaker 1: singers and lines and is able to recite those singers

111
00:07:12,200 --> 00:07:16,920
Speaker 1: and those prepared lines of somebody else, then you think

112
00:07:16,960 --> 00:07:21,160
Speaker 1: Hillary Clinton won the debate. But because the core of

113
00:07:21,240 --> 00:07:24,760
Speaker 1: Hillary's arguments were really simple last night, and this is

114
00:07:24,800 --> 00:07:28,600
Speaker 1: where the great divide is, is that Hillary is a

115
00:07:28,720 --> 00:07:35,200
Speaker 1: huge tax and spend leftist status liberal. And she said

116
00:07:35,280 --> 00:07:38,200
Speaker 1: so last night, and she said so repeatedly last night,

117
00:07:38,840 --> 00:07:41,200
Speaker 1: that she is gonna spend and spend and spend and

118
00:07:41,240 --> 00:07:44,200
Speaker 1: spend and spend, and she'll spend some more and she's

119
00:07:44,240 --> 00:07:47,880
Speaker 1: gonna redistribute wealth, and she's gonna tax corporations, and she's

120
00:07:47,880 --> 00:07:50,120
Speaker 1: gonna do whatever she has to do to to keep

121
00:07:50,520 --> 00:07:54,280
Speaker 1: people dependent on government, because that's who she is, that's

122
00:07:54,320 --> 00:07:57,000
Speaker 1: where she comes from, that's what she that's what she

123
00:07:57,080 --> 00:08:00,400
Speaker 1: truly believes in, that's what she thinks is what needed

124
00:08:00,440 --> 00:08:03,120
Speaker 1: for the country. In other words, doubling down on stupid,

125
00:08:03,640 --> 00:08:07,400
Speaker 1: doubling down on Obama's failure, and what you know. And

126
00:08:07,400 --> 00:08:11,000
Speaker 1: I gotta tell you, all of these liberal pundits, all

127
00:08:11,040 --> 00:08:14,600
Speaker 1: of the TV class, all of the Washington class, that

128
00:08:14,640 --> 00:08:18,040
Speaker 1: are judging this based on prepared written lines by somebody

129
00:08:18,040 --> 00:08:20,920
Speaker 1: else and outdated paradigm, just like it was outdated in

130
00:08:20,920 --> 00:08:25,280
Speaker 1: the Republican primary, they are missing it all. They are

131
00:08:25,400 --> 00:08:29,240
Speaker 1: so out of touch because you can't be a rational

132
00:08:29,600 --> 00:08:33,440
Speaker 1: human being and look at facts and data about the

133
00:08:33,480 --> 00:08:36,960
Speaker 1: truth about where we are. According to Hillary, everything's fine,

134
00:08:37,720 --> 00:08:41,240
Speaker 1: Everything's just ducky, you know, even Ted Cruzy said, the

135
00:08:41,400 --> 00:08:45,839
Speaker 1: entire debate, Ted Cruz said from Hillary was more Washington

136
00:08:45,920 --> 00:08:50,800
Speaker 1: as usual. Every proposal she advanced was another big government solution.

137
00:08:50,840 --> 00:08:54,040
Speaker 1: What she wants free college, free daycare, free, free, free, free, free,

138
00:08:54,080 --> 00:08:56,319
Speaker 1: and she's gonna tax the rich and tax corporations to

139
00:08:56,360 --> 00:08:59,880
Speaker 1: pay for it, and that's what's not working, that's what

140
00:09:00,120 --> 00:09:04,080
Speaker 1: family and and Cruise even said that was the strongest

141
00:09:04,120 --> 00:09:07,560
Speaker 1: debate performance he's had in this election cycle. And Ted

142
00:09:07,640 --> 00:09:10,520
Speaker 1: Cruz is one of the best debaters in the country.

143
00:09:10,520 --> 00:09:13,840
Speaker 1: He was the national debate champion. And he says, I

144
00:09:13,840 --> 00:09:16,720
Speaker 1: think he really went after Hillary, which was a good thing,

145
00:09:17,160 --> 00:09:20,439
Speaker 1: and he was able to draw this strong contrast, particularly

146
00:09:20,440 --> 00:09:23,680
Speaker 1: on taxes, regulation and the law and law and order,

147
00:09:23,880 --> 00:09:27,679
Speaker 1: the disastrous Iranian deal and everything else that has gone

148
00:09:27,720 --> 00:09:30,679
Speaker 1: wrong in the Middle East. If you want substance, you

149
00:09:30,800 --> 00:09:33,160
Speaker 1: think Trump won that debate last night. If you want

150
00:09:33,640 --> 00:09:37,199
Speaker 1: doubling down on stupidity, and you want singers that are

151
00:09:37,240 --> 00:09:40,480
Speaker 1: prepared and written by other people and robotic answers, you're

152
00:09:40,559 --> 00:09:43,920
Speaker 1: you're a Hillary Clinton supporter. You know how can and

153
00:09:43,960 --> 00:09:47,240
Speaker 1: this goes to everything that I've been arguing. Now. I

154
00:09:47,320 --> 00:09:51,760
Speaker 1: know that the punditry class, the TV class, the Washington class.

155
00:09:51,760 --> 00:09:55,120
Speaker 1: They have their healthcare, they have the best plans available,

156
00:09:55,679 --> 00:09:59,440
Speaker 1: They have their show for driven limbousines. They go to

157
00:09:59,520 --> 00:10:03,640
Speaker 1: their big expensive steakhouses and buy big expensive bottles of wine.

158
00:10:04,160 --> 00:10:07,720
Speaker 1: They have their nice house in their nice vacation House.

159
00:10:08,559 --> 00:10:11,800
Speaker 1: But that's not where the country is now. You know,

160
00:10:11,880 --> 00:10:15,480
Speaker 1: there's a reason why I keep telling you where we

161
00:10:15,559 --> 00:10:20,400
Speaker 1: really are and why people voted for Trump winning This

162
00:10:20,480 --> 00:10:24,880
Speaker 1: debate is simple, and they don't get it. You can't

163
00:10:24,880 --> 00:10:29,080
Speaker 1: be a rational person and see that we have the

164
00:10:29,160 --> 00:10:33,720
Speaker 1: worst recovery since the forties, the lowest labor participation rates

165
00:10:33,760 --> 00:10:36,640
Speaker 1: since the seventies, with nearly million Americans out of the

166
00:10:36,720 --> 00:10:40,920
Speaker 1: labor force, the lowest home ownership rate in fifty one years.

167
00:10:40,960 --> 00:10:43,199
Speaker 1: I'm pretty sure all the pundits on TV on their

168
00:10:43,200 --> 00:10:45,960
Speaker 1: own homes. I'm pretty sure that all the politicians own

169
00:10:45,960 --> 00:10:49,680
Speaker 1: their own homes. You can't look at twelve million more

170
00:10:49,760 --> 00:10:53,520
Speaker 1: Americans on food stamps since Obama has been president, eight

171
00:10:53,559 --> 00:10:56,800
Speaker 1: million more in poverty since he's been president, one in

172
00:10:56,920 --> 00:11:01,200
Speaker 1: five American households without a single person working today, one

173
00:11:01,240 --> 00:11:04,040
Speaker 1: in six American men eighteen to thirty four either in

174
00:11:04,120 --> 00:11:06,720
Speaker 1: jail or out of work. And if you're black American,

175
00:11:06,800 --> 00:11:09,520
Speaker 1: you know Hillary's basically saying, that's outrageous that you talk

176
00:11:09,600 --> 00:11:14,240
Speaker 1: about the black community. Trump was right. Every four years

177
00:11:14,280 --> 00:11:17,520
Speaker 1: politicians go into inner cities and they say, give me

178
00:11:17,559 --> 00:11:21,640
Speaker 1: your vote. They have the worst schools, the worst crime,

179
00:11:21,760 --> 00:11:24,760
Speaker 1: poverty because we're not doing anything. We have. We have

180
00:11:25,000 --> 00:11:30,760
Speaker 1: failed Inner City America in a spectacular dangerous way for

181
00:11:30,800 --> 00:11:35,760
Speaker 1: the entire country Black Americans, and Obama's president fifty percent

182
00:11:35,880 --> 00:11:39,719
Speaker 1: increase of them on food stamps, increased Black Americans out

183
00:11:39,720 --> 00:11:43,600
Speaker 1: of the labor force, and as Trump just said, eight years,

184
00:11:43,600 --> 00:11:47,240
Speaker 1: Obama's accumulated more death than every other president before him combined.

185
00:11:47,640 --> 00:11:50,000
Speaker 1: By the way, how social security working out for you.

186
00:11:50,520 --> 00:11:53,520
Speaker 1: How's keeping your doctor and keeping your plan and saving

187
00:11:54,600 --> 00:11:57,640
Speaker 1: a year working out for you. So you got the

188
00:11:57,720 --> 00:12:01,840
Speaker 1: elites in the political class, elites in the media class.

189
00:12:03,000 --> 00:12:05,760
Speaker 1: You know, they're judging this debate on a standard of

190
00:12:05,920 --> 00:12:10,600
Speaker 1: zingers and robotic and memorized lines and not the suffering,

191
00:12:11,559 --> 00:12:17,080
Speaker 1: the everyday suffering, real life that has been inflicted on

192
00:12:17,120 --> 00:12:22,000
Speaker 1: the people of this country by their government. Now this

193
00:12:22,080 --> 00:12:26,200
Speaker 1: divide Americans know this. They are living this, they are

194
00:12:26,360 --> 00:12:30,480
Speaker 1: feeling this, and they are suffering every day because of this.

195
00:12:31,000 --> 00:12:33,800
Speaker 1: And all my overpaid friends in the media, by the way,

196
00:12:33,800 --> 00:12:36,000
Speaker 1: all these pundits and not they're not one of them

197
00:12:36,000 --> 00:12:38,880
Speaker 1: that doesn't make a hundred plus grand a year. There's

198
00:12:38,920 --> 00:12:40,760
Speaker 1: not one of them that doesn't get driven at work

199
00:12:40,800 --> 00:12:43,959
Speaker 1: every day. There's not one of them that doesn't probably

200
00:12:43,960 --> 00:12:46,080
Speaker 1: own their own house if they want one, or apartment

201
00:12:46,160 --> 00:12:49,400
Speaker 1: or wherever they're living. You know, they they have their

202
00:12:49,440 --> 00:12:53,880
Speaker 1: great lifestyle and they're in lies the disconnect and the

203
00:12:53,960 --> 00:12:59,079
Speaker 1: contempt of the American people towards the media and politicians,

204
00:12:59,240 --> 00:13:03,840
Speaker 1: and hence their lowest approval rating. Ever, how could we

205
00:13:04,080 --> 00:13:10,679
Speaker 1: possibly afford everything that Hillary proposed last night? It's impossible,

206
00:13:12,080 --> 00:13:16,240
Speaker 1: you can't. Why would you after Obamacare keep your doctor

207
00:13:16,320 --> 00:13:20,320
Speaker 1: plan and save money? Ever, trust them to put in

208
00:13:20,559 --> 00:13:25,920
Speaker 1: take care? Uh student, this student that's free, college tuition free,

209
00:13:25,920 --> 00:13:30,360
Speaker 1: free free, you know, black America. Donald Trump brings up

210
00:13:30,360 --> 00:13:35,800
Speaker 1: in Chicago this year alone, three thousand people shot over

211
00:13:37,040 --> 00:13:41,520
Speaker 1: black Americans since Obama has been president, four thousand people

212
00:13:41,600 --> 00:13:45,400
Speaker 1: killed in his home city of Chicago, and Hillary says, well,

213
00:13:45,520 --> 00:13:48,600
Speaker 1: she first tries to play the race card. She didn't

214
00:13:48,640 --> 00:13:50,880
Speaker 1: mention the super predator thing that was Donald Trump had

215
00:13:50,880 --> 00:13:54,200
Speaker 1: brought that up. That backfired against her, and she basically,

216
00:13:54,640 --> 00:13:58,319
Speaker 1: we're not giving enough credit credit, we're not protecting people.

217
00:13:58,360 --> 00:14:01,760
Speaker 1: We have failed the black community in his country. The

218
00:14:01,800 --> 00:14:05,760
Speaker 1: worst schools are in inner city America. They're dealing with

219
00:14:05,920 --> 00:14:10,280
Speaker 1: failed schools, crime, poverty, and drugs, and we've done nothing

220
00:14:10,280 --> 00:14:13,920
Speaker 1: to help them except please give us your vote every

221
00:14:13,960 --> 00:14:20,360
Speaker 1: four years. Really, that's disconnected from reality. Obamacare is a

222
00:14:20,520 --> 00:14:24,120
Speaker 1: disconnect from reality because the average American family didn't keep

223
00:14:24,160 --> 00:14:28,280
Speaker 1: their doctor or their plan, didn't save a year on averages,

224
00:14:28,320 --> 00:14:32,600
Speaker 1: paying four thousand, one hundred dollars more year. So you've

225
00:14:32,600 --> 00:14:38,080
Speaker 1: got the punditry class, the media class, the political class

226
00:14:39,480 --> 00:14:42,960
Speaker 1: seeing this debate one way, and the people seeing this

227
00:14:43,080 --> 00:14:45,720
Speaker 1: debate another way. Now, the only thing I have to

228
00:14:45,760 --> 00:14:50,960
Speaker 1: say is this. Everybody, except maybe yours truly and a

229
00:14:50,960 --> 00:14:55,840
Speaker 1: few others, they all saw the other debates, the twelve

230
00:14:55,920 --> 00:14:59,800
Speaker 1: debates with Trump starting with sixteen other people, the same way,

231
00:15:00,800 --> 00:15:05,440
Speaker 1: and they got it wrong. And I'm telling you, you

232
00:15:05,520 --> 00:15:07,760
Speaker 1: cannot look at this list of polls that I have

233
00:15:07,880 --> 00:15:10,840
Speaker 1: here in front of me, where the people say Donald

234
00:15:10,840 --> 00:15:17,640
Speaker 1: Trump won and not realize that there's something dramatic going

235
00:15:17,720 --> 00:15:21,720
Speaker 1: on in the country. Can I guarantee Donald Trump's gonna win? No?

236
00:15:22,000 --> 00:15:27,120
Speaker 1: I can't. Can I guarantee that these people are wrong

237
00:15:27,240 --> 00:15:31,720
Speaker 1: about how Americans feel? Absolutely? Do I think it will

238
00:15:31,760 --> 00:15:36,160
Speaker 1: translate at the ballot box. I certainly hope so, and

239
00:15:36,280 --> 00:15:41,800
Speaker 1: believe it's more than likely they're so wrong, They have

240
00:15:41,920 --> 00:15:45,360
Speaker 1: no idea. And I didn't even talk about terrorism. You know,

241
00:15:45,400 --> 00:15:48,480
Speaker 1: you think of what wasn't discussed last night, Deleted emails, Benghazi,

242
00:15:48,760 --> 00:15:52,960
Speaker 1: vetting refugees, no wall, Saudi Arabia, no Supreme Court talk.

243
00:15:53,040 --> 00:15:56,240
Speaker 1: Last but they talked about birtherism. What kind of debate

244
00:15:56,320 --> 00:16:00,120
Speaker 1: is this? Lester Holt himself was wrong on the economy?

245
00:16:00,200 --> 00:16:04,480
Speaker 1: Was his opening remark wrong on Iraq? Wrong on stopping frisk?

246
00:16:05,320 --> 00:16:08,760
Speaker 1: He pulled three Candy Crowley's last night. We're calling this

247
00:16:08,840 --> 00:16:13,400
Speaker 1: opening segment achieving prosperity, and central to that is jobs.

248
00:16:13,800 --> 00:16:17,080
Speaker 1: There are two economic realities in America today. There's been

249
00:16:17,080 --> 00:16:20,120
Speaker 1: a record six straight years of job growth, and new

250
00:16:20,200 --> 00:16:23,320
Speaker 1: census numbers show incomes have increased at a record rate

251
00:16:23,560 --> 00:16:28,560
Speaker 1: after years of stagnation. However, income inequality remains significant, and

252
00:16:28,640 --> 00:16:33,000
Speaker 1: nearly half of Americans are living paycheck to paycheck. That

253
00:16:33,320 --> 00:16:36,120
Speaker 1: first question, by the way, glad you're with us twenty

254
00:16:36,200 --> 00:16:39,280
Speaker 1: five till the top of the hour, one Shawn toll

255
00:16:39,360 --> 00:16:46,040
Speaker 1: free telephone number. That first question, it's so off, so

256
00:16:46,200 --> 00:16:51,880
Speaker 1: misrepresentative of what the economy is really like. It's morning

257
00:16:51,880 --> 00:16:55,600
Speaker 1: in America again thanks to Obama. That's basically the way

258
00:16:55,640 --> 00:16:59,480
Speaker 1: he phrased that question, did he bring up twelve million

259
00:16:59,640 --> 00:17:04,680
Speaker 1: more Americans in poverty on food stamps? Eight million more

260
00:17:04,680 --> 00:17:09,639
Speaker 1: in poverty? No, well why didn't? Why not, Lester Holt,

261
00:17:09,680 --> 00:17:12,200
Speaker 1: you would think we didn't have any economic problem. Oest

262
00:17:12,280 --> 00:17:15,840
Speaker 1: labor participation rate and since the seventies, lowest home ownership

263
00:17:15,920 --> 00:17:18,800
Speaker 1: rate in fifty one years words recovery since the forties,

264
00:17:19,320 --> 00:17:23,240
Speaker 1: one in five American households. Nobody's working. You know, more

265
00:17:23,359 --> 00:17:25,560
Speaker 1: debt than any of the president before him combined. No,

266
00:17:26,000 --> 00:17:30,080
Speaker 1: YaST six years. Well, he's pulling out. He's not looking

267
00:17:30,119 --> 00:17:35,200
Speaker 1: at the entire labor force. It's pretty remarkable and pretty

268
00:17:35,240 --> 00:17:39,040
Speaker 1: abusively biased. But that was not the only example of

269
00:17:39,119 --> 00:17:44,240
Speaker 1: his bias. When when Lester Holts, well, that was ruled unconstitutional.

270
00:17:44,240 --> 00:17:48,360
Speaker 1: When he's talking about stopping frisk wrong again, the judge

271
00:17:48,480 --> 00:17:51,240
Speaker 1: got thrown off the case in the stop in frisc case,

272
00:17:51,280 --> 00:17:54,960
Speaker 1: and it wasn't when Rudy was mayor either and stopping frisk.

273
00:17:55,160 --> 00:17:58,560
Speaker 1: What Donald Trump Trump settled right about murders a year

274
00:17:59,600 --> 00:18:02,800
Speaker 1: got his low is three hundred under Mayor Bloomberg. The

275
00:18:02,840 --> 00:18:06,679
Speaker 1: big dramatic decline was under Mayor Julianni. There is no

276
00:18:06,880 --> 00:18:11,119
Speaker 1: legal precedent. The Earl Warren case that Rudy was sighting

277
00:18:11,240 --> 00:18:14,280
Speaker 1: last night is dead on accurate. And then it was

278
00:18:14,359 --> 00:18:16,359
Speaker 1: the other issue that he got wrong was on I

279
00:18:16,359 --> 00:18:21,200
Speaker 1: wrack forget about me. Let's let's all right, just because

280
00:18:21,240 --> 00:18:24,200
Speaker 1: he goes on Howard Stern, do you support the war?

281
00:18:24,280 --> 00:18:27,879
Speaker 1: I guess so he was on Neil Cavudo. It's on tape.

282
00:18:27,920 --> 00:18:31,879
Speaker 1: Forget about my conversations. He said to Neil Cavudo, I

283
00:18:31,880 --> 00:18:34,000
Speaker 1: think we ought to focus on the economy. You had

284
00:18:34,040 --> 00:18:36,199
Speaker 1: to sort of breakdown for the president. You were advising

285
00:18:36,240 --> 00:18:38,320
Speaker 1: him how much time you commit to Iraq versus how

286
00:18:38,400 --> 00:18:41,760
Speaker 1: much time you commit to the economy. What would you say? Well,

287
00:18:41,800 --> 00:18:43,960
Speaker 1: I'm starting to think that people are much more focused

288
00:18:43,960 --> 00:18:47,400
Speaker 1: now on the economy. They're getting a little bit tired of, uh,

289
00:18:47,600 --> 00:18:49,840
Speaker 1: you know, hearing we're going in we're not going in

290
00:18:49,920 --> 00:18:52,840
Speaker 1: with you know, whatever happened to the days of Douglas mcgarthur.

291
00:18:52,840 --> 00:18:55,000
Speaker 1: I mean, he'd go and attack, he wouldn't talk. I

292
00:18:55,040 --> 00:18:57,080
Speaker 1: mean we have to. You know, it's it's sort of

293
00:18:57,280 --> 00:18:59,720
Speaker 1: like either do it or don't do it. You're saying

294
00:19:00,160 --> 00:19:02,119
Speaker 1: the leash on this is getting kind of short here

295
00:19:02,160 --> 00:19:04,960
Speaker 1: that the president has got to do something, presumably sooner

296
00:19:05,080 --> 00:19:08,480
Speaker 1: rather than later, and stringing this along could ultimately hurt us. Well,

297
00:19:08,480 --> 00:19:10,479
Speaker 1: he's either got to do something or not do something,

298
00:19:11,000 --> 00:19:14,040
Speaker 1: perhaps because perhaps he shouldn't be doing it yet and

299
00:19:14,119 --> 00:19:16,879
Speaker 1: perhaps we should be waiting for the United Nations. Uh,

300
00:19:16,920 --> 00:19:19,400
Speaker 1: you know, he's he's under a lot of pressure. He's

301
00:19:19,920 --> 00:19:21,880
Speaker 1: you know, I think he's doing a very good job.

302
00:19:21,920 --> 00:19:24,000
Speaker 1: But of course, if you look at the polls, a

303
00:19:24,000 --> 00:19:25,560
Speaker 1: lot of people are getting a little cart I think

304
00:19:25,600 --> 00:19:28,520
Speaker 1: the the Iraqi situation is a problem, and I think

305
00:19:28,560 --> 00:19:31,359
Speaker 1: the economy is a much bigger problem. So he's wrong

306
00:19:31,520 --> 00:19:35,199
Speaker 1: Lester Holt on the economy, he's wrong on stopping frisk,

307
00:19:35,600 --> 00:19:37,960
Speaker 1: he's wrong on Iraq. He should have been eight. That

308
00:19:38,040 --> 00:19:41,080
Speaker 1: was before the war with Neil Cavudo, and it's on

309
00:19:41,160 --> 00:19:44,240
Speaker 1: audio videotape for crying out loud and he took he

310
00:19:44,400 --> 00:19:48,080
Speaker 1: pulled three cran Candy Crowley's on this debate. We should

311
00:19:48,119 --> 00:19:50,600
Speaker 1: link the Joe Concha article in The Hill. By the way,

312
00:19:50,640 --> 00:19:53,199
Speaker 1: The Hill is another newspaper that had a poll that

313
00:19:53,240 --> 00:19:59,600
Speaker 1: had Trump winning The Hill, CBS, CNBC, Fortune, Late Time Magazine,

314
00:19:59,600 --> 00:20:04,040
Speaker 1: and and on and on. There's a major disconnect here media,

315
00:20:04,080 --> 00:20:06,520
Speaker 1: I called Lester hope. By the way, Media, they're not

316
00:20:06,640 --> 00:20:11,280
Speaker 1: fans of me, They're hardly a conservative outlet, and they're

317
00:20:11,280 --> 00:20:15,760
Speaker 1: calling Lester Holt the most biased moderator and presidential debate history. There.

318
00:20:16,480 --> 00:20:20,159
Speaker 1: Editorial writer Alex Griswold writes, I don't support Trump, was

319
00:20:20,280 --> 00:20:22,879
Speaker 1: rather pleased to watch him flounder last night, But as

320
00:20:23,000 --> 00:20:25,880
Speaker 1: much as it pains me to say so, he's basically right.

321
00:20:27,080 --> 00:20:31,480
Speaker 1: Lester Holt's choice of questions was demonstrably one sided against Trump.

322
00:20:31,920 --> 00:20:35,080
Speaker 1: He asked eight generic questions of both candidates, the sort

323
00:20:35,200 --> 00:20:38,240
Speaker 1: that make up the meat and potatoes the most presidential debates,

324
00:20:38,920 --> 00:20:41,880
Speaker 1: but there were also five questions that were asked specifically

325
00:20:41,920 --> 00:20:45,120
Speaker 1: of certain candidates. All but one were to Trump, and

326
00:20:45,160 --> 00:20:49,040
Speaker 1: all of those were negative questions about varying Trump controversies.

327
00:20:49,400 --> 00:20:52,520
Speaker 1: Throughout the entire debate, there was exactly one question that

328
00:20:52,600 --> 00:20:56,720
Speaker 1: was directed towards Clinton, and even as we give Hold

329
00:20:56,800 --> 00:20:59,600
Speaker 1: a point for asking Clinton a single difficult question, the

330
00:20:59,600 --> 00:21:03,160
Speaker 1: fact mains he asked Trump four times as many negative questions,

331
00:21:03,440 --> 00:21:05,520
Speaker 1: and I don't care how much it disliked Trump. That

332
00:21:05,520 --> 00:21:09,840
Speaker 1: shouldn't be happening in a supposedly balanced debate. I can

333
00:21:09,880 --> 00:21:12,479
Speaker 1: only imagine how the Clinton team would be reacting if

334
00:21:12,520 --> 00:21:16,480
Speaker 1: those numbers were reversed. In addition, at certain times in

335
00:21:16,520 --> 00:21:20,480
Speaker 1: the debate, Holt interrupted to fact check the candidates. Every

336
00:21:20,520 --> 00:21:23,959
Speaker 1: single one of those fact checks. Everyone was directed towards Trump,

337
00:21:25,040 --> 00:21:29,280
Speaker 1: and certainly Trump did himself no favors, etcetera, etcetera. And uh,

338
00:21:29,280 --> 00:21:32,040
Speaker 1: but it's it's not as though Clinton wasn't making bizarre,

339
00:21:32,119 --> 00:21:36,520
Speaker 1: highly inaccurate just playing false claims herself. In total, Halt

340
00:21:36,600 --> 00:21:41,280
Speaker 1: interrupted Trump fifty more than he did Clinton. Lester holtz

341
00:21:41,320 --> 00:21:45,720
Speaker 1: moderation may have been the most one sided in debate history.

342
00:21:45,960 --> 00:21:50,080
Speaker 1: You know, Halt interrupted Trump forty one times, interrupted Hillary

343
00:21:50,160 --> 00:21:54,520
Speaker 1: seven times. Holt asked only six questions directed at both candidates.

344
00:21:54,800 --> 00:21:59,120
Speaker 1: He had fifteen questions exclusively for Trump. He only asked

345
00:21:59,200 --> 00:22:02,040
Speaker 1: Hillary two exclusive questions. Let's just break down the numbers.

346
00:22:02,040 --> 00:22:05,240
Speaker 1: I mean, that's that's all part of it too. And

347
00:22:05,359 --> 00:22:07,840
Speaker 1: I was watching The Pip Squeak last weekend and I

348
00:22:07,880 --> 00:22:11,960
Speaker 1: actually tweeted him during the show, Brian Stelter. He gets

349
00:22:12,000 --> 00:22:15,560
Speaker 1: all of his material from media matters, and he basically

350
00:22:15,640 --> 00:22:19,720
Speaker 1: is that the extension. He's like, Jeff Zuckers, what do

351
00:22:19,760 --> 00:22:22,679
Speaker 1: you call it. How do I say this stenographer, he

352
00:22:22,720 --> 00:22:25,919
Speaker 1: does whatever Jeff Zucker tells him to do. Go after Fox,

353
00:22:26,040 --> 00:22:30,200
Speaker 1: Go after Fox, Yeah, go after Fox, go after Hannity, um,

354
00:22:30,280 --> 00:22:32,480
Speaker 1: which I find very amusing, you know. And I was

355
00:22:32,480 --> 00:22:34,399
Speaker 1: watching the Pip Squeak, and the Pip Squeak has on,

356
00:22:34,960 --> 00:22:38,879
Speaker 1: you know, Brian Stelter has on all these pro Hillary people,

357
00:22:39,640 --> 00:22:42,240
Speaker 1: and one after another, and it goes on week after week.

358
00:22:42,280 --> 00:22:44,120
Speaker 1: That's all he happens to say. I wonder if he's

359
00:22:44,160 --> 00:22:49,879
Speaker 1: gonna put out this information. He's a media guy, right anyway. Um,

360
00:22:49,920 --> 00:22:53,960
Speaker 1: even Michael Moore said Trump won the debate. Michael Moore,

361
00:22:54,040 --> 00:22:56,760
Speaker 1: I'm want to tell you why I think Michael Moore

362
00:22:56,880 --> 00:23:00,920
Speaker 1: sang this. I look, I've interviewed more, We've had some knockdowns,

363
00:23:00,960 --> 00:23:02,720
Speaker 1: dragouts over the years. I haven't seen him in many

364
00:23:02,800 --> 00:23:05,679
Speaker 1: years now. And I did see his big Gulf Stream

365
00:23:05,760 --> 00:23:08,080
Speaker 1: four sitting on a runway one day and they said, oh,

366
00:23:08,080 --> 00:23:10,399
Speaker 1: that's Michael Moore's plain. I guess he charted it her

367
00:23:10,440 --> 00:23:12,640
Speaker 1: owns that or something. I don't know. He's a limousine

368
00:23:12,680 --> 00:23:16,160
Speaker 1: liberal like the rest of them. And but Michael Moore

369
00:23:16,400 --> 00:23:20,680
Speaker 1: probably now'll just bear with me here from Flint, Michigan.

370
00:23:21,320 --> 00:23:25,640
Speaker 1: We used to have eighty thousand GM jobs in Flint, Michigan.

371
00:23:26,000 --> 00:23:29,679
Speaker 1: And as Trump famously said, it used to be we

372
00:23:29,760 --> 00:23:36,080
Speaker 1: had clean water in Michigan and factory jobs in Michigan.

373
00:23:36,359 --> 00:23:39,840
Speaker 1: And now we've got dirty water in the and GM

374
00:23:39,960 --> 00:23:42,840
Speaker 1: is in Mexico. And now we have the dirty water

375
00:23:42,880 --> 00:23:45,840
Speaker 1: in Flint, Michigan, and the GM jobs are in Mexico.

376
00:23:45,880 --> 00:23:49,959
Speaker 1: I got it right there. It's pretty amazing. But if

377
00:23:49,960 --> 00:23:53,640
Speaker 1: you want to look and comparing contrast, it is. If

378
00:23:53,680 --> 00:23:55,920
Speaker 1: you know, it depends what you want in a debate.

379
00:23:57,040 --> 00:24:01,520
Speaker 1: You know, Hillary give her credit if memory rising staying

380
00:24:01,640 --> 00:24:05,920
Speaker 1: home while Donald Trump is in Detroit and in Philly,

381
00:24:06,000 --> 00:24:10,639
Speaker 1: and in Wisconsin and all across inner cities, and and

382
00:24:10,720 --> 00:24:14,879
Speaker 1: where we met in Cleveland, and he's talking to suffering people,

383
00:24:15,440 --> 00:24:19,240
Speaker 1: and he's meeting with in black American pastors and he's

384
00:24:19,240 --> 00:24:22,240
Speaker 1: telling them that he wants to help fix the problems

385
00:24:22,240 --> 00:24:26,720
Speaker 1: of inner city America. And Hillary's home studying her notebook

386
00:24:26,760 --> 00:24:29,879
Speaker 1: of prepared lines. If that's how you want to judge

387
00:24:29,880 --> 00:24:33,320
Speaker 1: the debate, judge it that way. But I don't think

388
00:24:33,359 --> 00:24:37,159
Speaker 1: that's what's resonating that, which is why this disconnect now exists.

389
00:24:38,320 --> 00:24:40,600
Speaker 1: I think for Trump it was probably the best debate

390
00:24:40,640 --> 00:24:44,080
Speaker 1: performance he's ever had. I agree with Ted Cruz. Now

391
00:24:44,119 --> 00:24:46,879
Speaker 1: with that said, I will I would give him some

392
00:24:46,920 --> 00:24:51,560
Speaker 1: advice moving forward. I think Hillary fired everything she had

393
00:24:51,560 --> 00:24:54,640
Speaker 1: at him. I think Donald Trump left way too much

394
00:24:55,160 --> 00:24:58,320
Speaker 1: on the table. When she brings up women, I'd bring

395
00:24:58,400 --> 00:25:01,680
Speaker 1: up Saudi Arabia. When she brings up corruption, I bring

396
00:25:01,760 --> 00:25:05,080
Speaker 1: up her speeches. If she wants tax returns, I want

397
00:25:05,080 --> 00:25:07,359
Speaker 1: your Wall Street speeches that you got paid two hundred

398
00:25:07,440 --> 00:25:10,520
Speaker 1: fifty dollars for an hour four What did you tell

399
00:25:10,520 --> 00:25:13,639
Speaker 1: those people privately? Why would you take money from a

400
00:25:13,680 --> 00:25:17,879
Speaker 1: country that abuses women, gaze, Lesbians, Christians and Jews? And

401
00:25:17,920 --> 00:25:20,520
Speaker 1: why didn't you criticize them even if you took their money?

402
00:25:20,720 --> 00:25:23,239
Speaker 1: And why don't you return their money? So I think

403
00:25:23,280 --> 00:25:25,560
Speaker 1: there's a lot on the table that he left. Why

404
00:25:25,640 --> 00:25:27,919
Speaker 1: why did July to us about Benghazi? Why did you

405
00:25:27,920 --> 00:25:30,520
Speaker 1: tell your daughter one thing, the Libyan president one thing,

406
00:25:30,560 --> 00:25:33,800
Speaker 1: the Egyptian prime minister one thing, and tell the American

407
00:25:33,920 --> 00:25:38,240
Speaker 1: people a big whopper that this was a spontaneous demonstration

408
00:25:38,880 --> 00:25:42,879
Speaker 1: where the spontaneous demonstrators just happen to have mortars in

409
00:25:42,880 --> 00:25:47,040
Speaker 1: their back pocket. And RPGs. How did that possibly happen?

410
00:25:47,960 --> 00:25:51,800
Speaker 1: You know, explain more about the deleted emails and bleach

411
00:25:51,920 --> 00:25:54,439
Speaker 1: bit that was used to clean your servant, not like

412
00:25:54,560 --> 00:25:57,800
Speaker 1: with a cloth, like with bleach bit, not like with

413
00:25:57,840 --> 00:26:02,000
Speaker 1: a cloth ed, No like with bleach bit, which is

414
00:26:02,040 --> 00:26:03,960
Speaker 1: to get rid of it so God can find it.

415
00:26:04,680 --> 00:26:07,320
Speaker 1: You know, you? Why don't you listen to Clapper and

416
00:26:07,400 --> 00:26:10,920
Speaker 1: call me? Why don't you listen to Steinbeck? Why don't

417
00:26:10,960 --> 00:26:13,160
Speaker 1: you listen to Brennan? Why don't you listen to Mike

418
00:26:13,240 --> 00:26:17,280
Speaker 1: McCall in general allan about their admonition that isis will

419
00:26:17,280 --> 00:26:21,240
Speaker 1: infiltrate the refugee population. Okay, why do you want to

420
00:26:21,359 --> 00:26:26,399
Speaker 1: bridge to Mexico when we need a wall because Americans

421
00:26:26,400 --> 00:26:28,880
Speaker 1: are losing job and it's driving down wages and it's

422
00:26:28,880 --> 00:26:32,640
Speaker 1: bad for our national security. What kind of Supreme Court

423
00:26:32,760 --> 00:26:35,240
Speaker 1: justice would you put on a one that sites foreign

424
00:26:35,240 --> 00:26:41,200
Speaker 1: constitutions and foreign law law to justify their radical decisions

425
00:26:41,200 --> 00:26:44,960
Speaker 1: of legislating from the bench. Hey, there, there's so much

426
00:26:45,000 --> 00:26:47,440
Speaker 1: to get to here. He's got a lot of stuff

427
00:26:47,480 --> 00:26:49,480
Speaker 1: in these next debates that he can bring in here,

428
00:26:50,320 --> 00:26:52,960
Speaker 1: and I hope he does, you know, but I will

429
00:26:53,000 --> 00:26:57,560
Speaker 1: say this, They these polls are fascinating to me. This

430
00:26:57,640 --> 00:27:01,560
Speaker 1: divide is even more fascinating to me. You know, if

431
00:27:01,720 --> 00:27:05,479
Speaker 1: if you've got liberal elites in the media and liberal

432
00:27:05,520 --> 00:27:09,359
Speaker 1: elites and Washington, and they can argue that well, Trump

433
00:27:09,400 --> 00:27:13,479
Speaker 1: does better and online servings because his his supporters are

434
00:27:13,480 --> 00:27:16,800
Speaker 1: more energized. Okay, why they energized because they don't want

435
00:27:16,840 --> 00:27:18,920
Speaker 1: any more of the crap that's being rammed down their

436
00:27:18,920 --> 00:27:21,800
Speaker 1: throat and any more of the failure. And I've yet

437
00:27:21,800 --> 00:27:25,160
Speaker 1: to even mentioned really a lot about foreign policy, not

438
00:27:25,200 --> 00:27:29,800
Speaker 1: saying radical Islam, what she did about Libya, this horrible

439
00:27:29,840 --> 00:27:31,960
Speaker 1: deal with Iranic came up, but not to the extent

440
00:27:32,000 --> 00:27:34,560
Speaker 1: I would like. And Oops, I made a mistake. I

441
00:27:34,680 --> 00:27:37,000
Speaker 1: voted for the war. I sent five thousand people to

442
00:27:37,080 --> 00:27:40,160
Speaker 1: die in this war, and then I politicized the war

443
00:27:40,200 --> 00:27:42,360
Speaker 1: and I pulled them out. Oops, I'm sorry. We've got

444
00:27:42,359 --> 00:27:45,040
Speaker 1: to learn from our mistakes. He said, really, well, what

445
00:27:45,119 --> 00:27:47,040
Speaker 1: if it was your daughter and your son. That's another

446
00:27:47,080 --> 00:27:49,520
Speaker 1: issue that we should bring up here. You know, with

447
00:27:49,560 --> 00:27:52,480
Speaker 1: all due respect to all of these politicians and all

448
00:27:52,600 --> 00:27:55,520
Speaker 1: these all in the punditry class, and all these spoiled

449
00:27:55,520 --> 00:27:59,640
Speaker 1: brat TV pundits and commentators, I don't see their kids fighting,

450
00:28:00,080 --> 00:28:03,920
Speaker 1: leading and dying in Iraq and Afghanistan. And I don't

451
00:28:03,960 --> 00:28:08,239
Speaker 1: see any media people fighting, bleeding and dying there. You know,

452
00:28:08,320 --> 00:28:11,040
Speaker 1: they should be as upset that all these cities we

453
00:28:11,119 --> 00:28:14,760
Speaker 1: won Ramadi and Felluca, Mosil and two Creep. And then

454
00:28:14,840 --> 00:28:18,440
Speaker 1: Hillary says, oh, now bad, I made a mistake. Um,

455
00:28:18,520 --> 00:28:20,640
Speaker 1: let's pull him out and let's give this. Let's create

456
00:28:20,680 --> 00:28:23,840
Speaker 1: an opening for isis that they have the oil. These

457
00:28:23,840 --> 00:28:27,560
Speaker 1: are this is real substance here. This is not a game.

458
00:28:27,640 --> 00:28:31,640
Speaker 1: This is not about a memorize jab or a memorized

459
00:28:31,720 --> 00:28:36,320
Speaker 1: stinger or zinger. It's just not You've got a professional hack,

460
00:28:36,440 --> 00:28:41,040
Speaker 1: failed politician who's accomplished nothing in thirty years and and

461
00:28:41,120 --> 00:28:44,920
Speaker 1: basically she wants more of the same, and she's good

462
00:28:44,920 --> 00:28:48,840
Speaker 1: at memorizing lines. That's all she does. She hasn't accomplished

463
00:28:48,960 --> 00:28:53,000
Speaker 1: much so I you know, and it's showing up in

464
00:28:53,040 --> 00:28:56,800
Speaker 1: the polls. Why is Trump winning Iowa? Why is he

465
00:28:56,880 --> 00:28:59,920
Speaker 1: now even in Pennsylvania? Why is the only two point

466
00:29:00,160 --> 00:29:03,920
Speaker 1: down Marquette University Pole in Wisconsin? Why is he only

467
00:29:03,960 --> 00:29:07,440
Speaker 1: three down in Michigan? Why is he now tied today

468
00:29:07,480 --> 00:29:11,600
Speaker 1: in Minnesota? Forty two forty two. If Hillary Clinton has

469
00:29:11,680 --> 00:29:15,400
Speaker 1: the fight for Iowa, Minnesota, Wisconsin, in Michigan and Pennsylvania,

470
00:29:15,480 --> 00:29:20,400
Speaker 1: she done. She's done. And in that sense, I think

471
00:29:20,440 --> 00:29:24,400
Speaker 1: if Trump does add to the good job that he

472
00:29:24,440 --> 00:29:27,480
Speaker 1: did last night with a lot of ammunitionation that he

473
00:29:27,520 --> 00:29:31,080
Speaker 1: did leave on the table. Although I gotta say I

474
00:29:31,160 --> 00:29:32,959
Speaker 1: could not do what he did at the end of

475
00:29:32,960 --> 00:29:36,280
Speaker 1: that debate last night, and you know what he did,

476
00:29:37,160 --> 00:29:42,080
Speaker 1: he had it. It was sitting there on a t Really, Hillary,

477
00:29:42,440 --> 00:29:45,320
Speaker 1: you want to talk about women, You really want to

478
00:29:45,360 --> 00:29:50,160
Speaker 1: go here? And it could have been a brutal takedown.

479
00:29:52,200 --> 00:29:54,600
Speaker 1: Says something about a guy that looks at the daughter

480
00:29:55,280 --> 00:29:57,560
Speaker 1: of a presidential candidate and says, you know what, I'm

481
00:29:57,600 --> 00:30:00,440
Speaker 1: not going there. By the way, Hillary said, as women

482
00:30:00,480 --> 00:30:04,200
Speaker 1: deserve equal pay, why don't you pay her own staff

483
00:30:04,240 --> 00:30:07,840
Speaker 1: equal money? Who has said women don't deserve equal pay

484
00:30:07,920 --> 00:30:11,920
Speaker 1: unless they do as good a job as men. Yeah,

485
00:30:11,960 --> 00:30:17,440
Speaker 1: why not? It's a good question anyway. So I would

486
00:30:17,480 --> 00:30:20,080
Speaker 1: argue Trump that did everything he needed to do last night.

487
00:30:21,160 --> 00:30:24,400
Speaker 1: I really do maybe at times a little too defensive,

488
00:30:24,440 --> 00:30:26,400
Speaker 1: I'd add that to it. He doesn't have to answer

489
00:30:26,400 --> 00:30:30,440
Speaker 1: to Hillary about his tax returns. The media when nuts

490
00:30:30,480 --> 00:30:32,600
Speaker 1: when he said, well, there probably didn't pay taxes. Well,

491
00:30:32,680 --> 00:30:38,320
Speaker 1: that would be smart. Using every legal deduction you created, Hillary,

492
00:30:38,560 --> 00:30:40,000
Speaker 1: that would have been a good way to handle that.

493
00:30:41,240 --> 00:30:45,560
Speaker 1: So Trump doesn't need to use these debates to throw

494
00:30:45,720 --> 00:30:48,040
Speaker 1: red meat to conserve. Why does my phone keepering? Hang

495
00:30:48,080 --> 00:30:51,040
Speaker 1: on one second? Hang on? Yes, Hello, who's this? Welcome

496
00:30:51,040 --> 00:30:54,320
Speaker 1: to the Yeah from who oh yeah, I'm on the

497
00:30:54,360 --> 00:30:57,040
Speaker 1: air right now. Can you tell him I'm actually he

498
00:30:57,080 --> 00:31:01,040
Speaker 1: actually pays me to do this. Yeah, oh all right,

499
00:31:01,040 --> 00:31:06,480
Speaker 1: thank you. Hey, it's my boss at radio. I thought

500
00:31:06,480 --> 00:31:07,720
Speaker 1: it was that. I'm like, why are you calling me

501
00:31:07,800 --> 00:31:09,320
Speaker 1: during the minute? Doesn't he know I have a show

502
00:31:09,360 --> 00:31:11,600
Speaker 1: to do every day? They pay me to do the show.

503
00:31:12,840 --> 00:31:15,280
Speaker 1: That's pretty funny. Why are you laughing in there? You

504
00:31:15,320 --> 00:31:18,040
Speaker 1: guys are all cracking. Why do you look nervous? Ethan?

505
00:31:18,480 --> 00:31:21,560
Speaker 1: We're not in trouble. And Donald Trump told everyone to

506
00:31:21,600 --> 00:31:24,080
Speaker 1: call you last night. Yeah, that's true. By the way,

507
00:31:24,160 --> 00:31:26,560
Speaker 1: I I've had to change my number since last night

508
00:31:26,600 --> 00:31:30,920
Speaker 1: as results of Donald Trump. Uh, cal Hannity's somebody put

509
00:31:30,920 --> 00:31:35,320
Speaker 1: out a hat that they're actually selling cal Hannity. But

510
00:31:35,440 --> 00:31:38,360
Speaker 1: you know those probably I have. I've said this on

511
00:31:38,400 --> 00:31:41,920
Speaker 1: the air. I ain't I remember I get these calls

512
00:31:41,920 --> 00:31:44,000
Speaker 1: from what are you doing? What do you We would

513
00:31:44,120 --> 00:31:48,680
Speaker 1: argue in like this passionate way about the Iraq War,

514
00:31:50,240 --> 00:31:53,960
Speaker 1: but you know it was pretty funny. Today is my

515
00:31:54,080 --> 00:31:57,640
Speaker 1: granddaughter's second birthday, so I think about this a lot. First,

516
00:31:57,720 --> 00:32:00,320
Speaker 1: we have to build an economy that works for every everyone,

517
00:32:00,400 --> 00:32:02,880
Speaker 1: not just those at the top. That means we need

518
00:32:03,000 --> 00:32:06,560
Speaker 1: new jobs, good jobs with rising incomes. I want us

519
00:32:06,600 --> 00:32:09,040
Speaker 1: to invest in you. I want us to invest in

520
00:32:09,080 --> 00:32:13,160
Speaker 1: your future. That means jobs in infrastructure, in advanced manufacturing,

521
00:32:13,680 --> 00:32:18,760
Speaker 1: in invasion and technology, clean renewable energy, and small business

522
00:32:18,800 --> 00:32:21,360
Speaker 1: because most of the new jobs will come from small business.

523
00:32:21,640 --> 00:32:24,840
Speaker 1: We also have to make the economy fairer. That starts

524
00:32:24,880 --> 00:32:29,240
Speaker 1: with raising the national minimum wage and also guarantee finally

525
00:32:29,560 --> 00:32:32,480
Speaker 1: equal pay for women's work. I also want to see

526
00:32:32,520 --> 00:32:36,280
Speaker 1: more companies do profit sharing. If you help create the profits,

527
00:32:36,320 --> 00:32:38,080
Speaker 1: you should be able to share in them, not just

528
00:32:38,200 --> 00:32:40,720
Speaker 1: the executives at the top. And I want us to

529
00:32:40,760 --> 00:32:44,680
Speaker 1: do more to support people who are struggling to balance

530
00:32:44,800 --> 00:32:47,240
Speaker 1: family and work. I've heard from so many of you

531
00:32:47,560 --> 00:32:51,200
Speaker 1: about the difficult choices you face and the stresses that

532
00:32:51,280 --> 00:32:55,120
Speaker 1: you're under. So let's have paid family leave earn sick days.

533
00:32:55,520 --> 00:32:58,880
Speaker 1: Let's be sure we have affordable childcare and debt free college.

534
00:32:59,120 --> 00:33:00,560
Speaker 1: How are we going to do it. We're gonna do

535
00:33:00,600 --> 00:33:03,200
Speaker 1: it by having the wealthy pay their fair share and

536
00:33:03,240 --> 00:33:07,320
Speaker 1: close the corporate loopholes. Our country is suffering because people

537
00:33:07,680 --> 00:33:12,720
Speaker 1: like Secretary Clinton have made such bad decisions in terms

538
00:33:12,720 --> 00:33:15,160
Speaker 1: of our jobs and in terms of what's going on now. Look,

539
00:33:15,680 --> 00:33:19,640
Speaker 1: we have the worst revival of an economy since the

540
00:33:19,720 --> 00:33:23,400
Speaker 1: Great Depression. And believe me, we're in a bubble right now.

541
00:33:23,720 --> 00:33:26,160
Speaker 1: And the only thing that looks good is the stock market.

542
00:33:26,360 --> 00:33:28,520
Speaker 1: But if you raise interest rates even a little bit,

543
00:33:28,520 --> 00:33:31,920
Speaker 1: that's gonna come crashing down. We are in a big, fat,

544
00:33:32,200 --> 00:33:35,200
Speaker 1: ugly bubble. The worst of all things has happened. We

545
00:33:35,280 --> 00:33:38,840
Speaker 1: owe twenty trillion dollars and we're a mess. We haven't

546
00:33:38,840 --> 00:33:42,760
Speaker 1: even started and we've spent six trillion dollars in the

547
00:33:42,760 --> 00:33:45,720
Speaker 1: Middle East according to the report that I just saw.

548
00:33:46,240 --> 00:33:49,080
Speaker 1: Whether it's six or five, but it looks like it's six.

549
00:33:49,120 --> 00:33:51,840
Speaker 1: Six trillion dollars in the Middle East. We could have

550
00:33:51,880 --> 00:33:54,880
Speaker 1: rebuilt our country twice and it's really a shame. And

551
00:33:54,960 --> 00:33:59,640
Speaker 1: it's politicians like Secretary Clinton that have caused this problem.

552
00:33:59,720 --> 00:34:03,800
Speaker 1: Our country has tremendous problems. We're a debtor nation. We're

553
00:34:03,840 --> 00:34:06,760
Speaker 1: a serious debtor nation. And we have a country that

554
00:34:06,840 --> 00:34:10,240
Speaker 1: needs new roads, new tunnels, new bridges, new airports, new schools,

555
00:34:10,400 --> 00:34:14,200
Speaker 1: new hospitals, and we don't have the money because it's

556
00:34:14,239 --> 00:34:17,719
Speaker 1: been squandered on so many of your ideas. Alright our

557
00:34:17,800 --> 00:34:20,359
Speaker 1: to Shawan Hannity show, right down on toll free telephone number.

558
00:34:20,360 --> 00:34:21,680
Speaker 1: You want to be a part of the program. The

559
00:34:21,880 --> 00:34:25,480
Speaker 1: great divide, as I call it, and that is you know,

560
00:34:25,680 --> 00:34:28,759
Speaker 1: somebody wrote me, I thought Donald Trump did great last

561
00:34:28,840 --> 00:34:32,040
Speaker 1: night until I started watching all the shows. And you've

562
00:34:32,080 --> 00:34:35,120
Speaker 1: got the punditry class. The media is now at an

563
00:34:35,200 --> 00:34:38,799
Speaker 1: all time low in terms of their trust level in

564
00:34:38,880 --> 00:34:41,720
Speaker 1: the history of this country. Could this be the reason?

565
00:34:42,239 --> 00:34:45,320
Speaker 1: And then you've got, of course, politicians, even Republicans in

566
00:34:45,360 --> 00:34:50,280
Speaker 1: the primary, every single primary center, Republicans feel be traded

567
00:34:50,360 --> 00:34:53,680
Speaker 1: by their own party. So if you're the typical politician,

568
00:34:53,719 --> 00:34:57,440
Speaker 1: the typical journalist, living the typical lifestyle with your great

569
00:34:57,440 --> 00:35:00,680
Speaker 1: health plan, you're guaranteed work for the rest of your life,

570
00:35:01,080 --> 00:35:04,520
Speaker 1: and you're watching a debate last night, and you and

571
00:35:04,600 --> 00:35:06,799
Speaker 1: you're judging it on a standard that is well, who

572
00:35:06,880 --> 00:35:09,839
Speaker 1: memorize written lines better than the other Canada, You're gonna

573
00:35:09,880 --> 00:35:14,320
Speaker 1: pick Hillary. But if you're one of those Americans million

574
00:35:14,360 --> 00:35:17,440
Speaker 1: out of the labor force, you're listening to Donald Trump

575
00:35:17,440 --> 00:35:20,239
Speaker 1: point out, Yeah, this is a disaster. If you're one

576
00:35:20,280 --> 00:35:23,399
Speaker 1: of the twelve million more Americans on food stamps since

577
00:35:23,400 --> 00:35:26,440
Speaker 1: Obama became president, you have a different perspective. If you

578
00:35:26,520 --> 00:35:30,040
Speaker 1: wanted the eight million more Americans in poverty, I bet

579
00:35:30,080 --> 00:35:32,480
Speaker 1: you took a very different look at that debate last night,

580
00:35:32,600 --> 00:35:35,560
Speaker 1: or one in five American households without a single person working,

581
00:35:35,880 --> 00:35:38,400
Speaker 1: or one in six American men eighteen and thirty four,

582
00:35:38,440 --> 00:35:40,399
Speaker 1: if you're in jail or out of work, I bet

583
00:35:40,480 --> 00:35:44,000
Speaker 1: you looked at that debate a lot differently than you know. Oh,

584
00:35:44,120 --> 00:35:47,399
Speaker 1: did she memorize lines better than Donald Trump? Memorize them

585
00:35:47,400 --> 00:35:50,000
Speaker 1: like a robot. If you're a Black American one of

586
00:35:50,000 --> 00:35:53,320
Speaker 1: the fifty percent increase of them on food stamps or

587
00:35:54,160 --> 00:35:57,000
Speaker 1: increased Black Americans out of the labor force. If you

588
00:35:57,080 --> 00:36:00,440
Speaker 1: worry about our nation's debt, we had forty three asidents

589
00:36:00,440 --> 00:36:04,120
Speaker 1: accumulate debt, and then we've got one president that accumulated

590
00:36:04,120 --> 00:36:07,080
Speaker 1: more debt than all of them. Combined Obama and saying

591
00:36:07,080 --> 00:36:11,520
Speaker 1: everything is fine. New Kingbridge calls it the intellectual yet

592
00:36:11,600 --> 00:36:15,239
Speaker 1: idiot class and that they've gotten this debate wrong like

593
00:36:15,280 --> 00:36:18,239
Speaker 1: they did in the primaries. How are you. I'm doing great,

594
00:36:18,239 --> 00:36:20,320
Speaker 1: although I have to confess it's actually in the seem

595
00:36:20,360 --> 00:36:24,080
Speaker 1: Till who wrote the black swan, who came up with

596
00:36:24,120 --> 00:36:26,520
Speaker 1: that term, and it's sort of captured what we saw

597
00:36:26,640 --> 00:36:31,160
Speaker 1: once again. We've had thirteen debates of the home with Republicans,

598
00:36:31,200 --> 00:36:35,839
Speaker 1: one with the Democrat. Every single time, Uh, the Washington,

599
00:36:35,920 --> 00:36:39,200
Speaker 1: New York intellectual news media class gets together with their

600
00:36:39,239 --> 00:36:42,799
Speaker 1: friends and they tell us that he lost. And every

601
00:36:42,800 --> 00:36:45,520
Speaker 1: single time you go out and you start looking at

602
00:36:45,600 --> 00:36:49,160
Speaker 1: data that turns out he won. And my newsletter today,

603
00:36:49,200 --> 00:36:52,200
Speaker 1: which people can get a game Productions dot Com for free,

604
00:36:53,120 --> 00:36:57,120
Speaker 1: I simply lay out the case that what you have

605
00:36:57,480 --> 00:36:59,560
Speaker 1: and you saw the last night with Lester Halls, who

606
00:37:00,000 --> 00:37:02,080
Speaker 1: isn't a bad guy, but he's them. I mean, he

607
00:37:02,640 --> 00:37:05,920
Speaker 1: can't help himself. He he was essentially was the whole

608
00:37:06,000 --> 00:37:11,560
Speaker 1: Clinton ticket versus Donald Trump. And and you can see

609
00:37:11,560 --> 00:37:14,880
Speaker 1: it even worse when you get to somebody like Anderson Cooper,

610
00:37:14,920 --> 00:37:18,480
Speaker 1: who who a pradict will just beyond control in his

611
00:37:18,560 --> 00:37:22,640
Speaker 1: need to go after Trump um and so the average

612
00:37:22,640 --> 00:37:24,480
Speaker 1: American watches And a person who has done the best

613
00:37:24,560 --> 00:37:27,319
Speaker 1: job of writing about this today is Selena Zito, who

614
00:37:27,320 --> 00:37:30,479
Speaker 1: I linked to in my newsletter. She did she want

615
00:37:30,520 --> 00:37:35,640
Speaker 1: to a working class Democratic bar in western Pennsylvania, near

616
00:37:35,760 --> 00:37:39,920
Speaker 1: Arnold Palmer's birthplace. She watched the debate with people who

617
00:37:40,080 --> 00:37:44,399
Speaker 1: historically voted Democrats, and the most talent comment was one

618
00:37:44,440 --> 00:37:48,279
Speaker 1: guy who said Hillary Clinton should not talk about Bill

619
00:37:48,320 --> 00:37:51,040
Speaker 1: Clinton because Bill Clinton was a modyrate. And she is

620
00:37:51,080 --> 00:37:53,480
Speaker 1: a left winger, and she does she does not stand

621
00:37:53,520 --> 00:37:57,040
Speaker 1: for anything Bill Clinton stood. And so here are people

622
00:37:57,040 --> 00:38:00,759
Speaker 1: who voted for Clinton in ninety six and they're saying

623
00:38:00,760 --> 00:38:02,600
Speaker 1: this is gone. We're not going to be with her anymore.

624
00:38:02,600 --> 00:38:05,600
Speaker 1: And she said the debate last night actually moved votes

625
00:38:05,680 --> 00:38:08,520
Speaker 1: to Trump in that part of Pennsylvania if you look

626
00:38:08,560 --> 00:38:10,359
Speaker 1: at the polls, and I did see that. You link

627
00:38:10,440 --> 00:38:14,279
Speaker 1: to this in your newsletter today, Time Magazine, Fortune Magazine.

628
00:38:14,360 --> 00:38:18,200
Speaker 1: By the way, Time Magazine hardly a conservative publication. New

629
00:38:18,280 --> 00:38:21,920
Speaker 1: Jersey dot Com, which is the news site service, hardly

630
00:38:21,960 --> 00:38:26,440
Speaker 1: conservative CNBC. If you look at Cincinnati, Cincinnati and San Diego,

631
00:38:26,480 --> 00:38:28,600
Speaker 1: two of the best test markets in the country because

632
00:38:28,600 --> 00:38:32,880
Speaker 1: they represent a lot of Middle America. Uh, Trump wins

633
00:38:32,920 --> 00:38:36,880
Speaker 1: their variety, Trump wins, Slate, Trump wins, Nashville w k

634
00:38:37,000 --> 00:38:40,480
Speaker 1: are Any wins, The Vegas Sunny wins, Fox five San Diego,

635
00:38:40,560 --> 00:38:44,120
Speaker 1: San Diego Tribuney wins. Never mind Drudge and and my

636
00:38:44,200 --> 00:38:47,040
Speaker 1: website and a and a bunch of others. Why is

637
00:38:47,080 --> 00:38:51,600
Speaker 1: there this great divide? I think this woman captured because

638
00:38:51,640 --> 00:38:53,080
Speaker 1: I think there are two worlds, and I thought I

639
00:38:53,120 --> 00:38:56,759
Speaker 1: thought they personified the world of Trump's described there's a

640
00:38:56,760 --> 00:38:58,719
Speaker 1: world of people. W the seem to have said was

641
00:38:58,760 --> 00:39:01,760
Speaker 1: like we've seen in worldwide the growth of a class

642
00:39:01,760 --> 00:39:03,920
Speaker 1: of people who are really good at taking tests and

643
00:39:03,960 --> 00:39:06,839
Speaker 1: writing essays, and they get to go to college where

644
00:39:06,880 --> 00:39:09,600
Speaker 1: their professors have them take tests and write essays and

645
00:39:09,640 --> 00:39:11,640
Speaker 1: they do really well at it. So the professors don't

646
00:39:11,640 --> 00:39:14,759
Speaker 1: either get them professorships, they get jobs, and you know,

647
00:39:14,800 --> 00:39:18,759
Speaker 1: they get them husand government where they say none of

648
00:39:18,760 --> 00:39:20,480
Speaker 1: them have done anything in the real world. I mean

649
00:39:20,719 --> 00:39:22,960
Speaker 1: l Clinton talked about creating jobs as though she'd ever

650
00:39:23,040 --> 00:39:26,560
Speaker 1: done one. She never created a job in her life. Uh.

651
00:39:27,480 --> 00:39:29,160
Speaker 1: She talked about a whole range of things would be

652
00:39:29,200 --> 00:39:32,000
Speaker 1: wonderful with the fantasy. It's like it's like, let's get

653
00:39:32,080 --> 00:39:35,359
Speaker 1: your seven year old describe what Santa Claus should bring,

654
00:39:36,760 --> 00:39:38,440
Speaker 1: but she doesn't have to do any of them. If

655
00:39:38,520 --> 00:39:40,719
Speaker 1: we started talking, and this is what breake failures, lest

656
00:39:40,719 --> 00:39:43,200
Speaker 1: your whole lesson. If you had said to her, how

657
00:39:43,280 --> 00:39:45,920
Speaker 1: do you feel about your Libyan plan failing? How do

658
00:39:45,960 --> 00:39:49,400
Speaker 1: you feel about your Russian reset failing? How do you

659
00:39:49,440 --> 00:39:52,359
Speaker 1: feel about your ideas and your plans for the Middle

660
00:39:52,360 --> 00:39:56,359
Speaker 1: East failing? Um, you know, none of that came up.

661
00:39:56,680 --> 00:39:59,279
Speaker 1: So in many ways it was it was a let's

662
00:39:59,320 --> 00:40:01,680
Speaker 1: stay it and I pleasant level where we all about

663
00:40:01,719 --> 00:40:05,160
Speaker 1: our fantasies. And that's why I think countries so sick

664
00:40:05,160 --> 00:40:08,360
Speaker 1: of these people, because they know they have enormous power.

665
00:40:09,360 --> 00:40:12,560
Speaker 1: They have all these bureaucracies, they issue all this red tape.

666
00:40:12,640 --> 00:40:16,120
Speaker 1: They control our lives in a thousand ways, and they're incompetent.

667
00:40:16,120 --> 00:40:19,200
Speaker 1: They're not in the real world. You know, I agree

668
00:40:19,200 --> 00:40:21,400
Speaker 1: with all that, But they did spend time on Bertha

669
00:40:21,480 --> 00:40:24,000
Speaker 1: as a very important topic of our day, and they

670
00:40:24,080 --> 00:40:27,000
Speaker 1: did spend you know, I'll give that. By the way,

671
00:40:27,080 --> 00:40:30,640
Speaker 1: began with Holt saying you have you you lied about

672
00:40:30,680 --> 00:40:35,000
Speaker 1: this for five years? Well, I mean if you go

673
00:40:35,080 --> 00:40:39,840
Speaker 1: to the first he won by the way, uh you know,

674
00:40:39,960 --> 00:40:44,600
Speaker 1: I mean Lester Holt. His opening question was based on, oh,

675
00:40:44,600 --> 00:40:48,040
Speaker 1: our economies turned around, and I'm like, no, it's not

676
00:40:48,120 --> 00:40:51,960
Speaker 1: turned around, you know. He and then he advocated for

677
00:40:52,160 --> 00:40:55,040
Speaker 1: against stopping frisk and he was wrong because the judge

678
00:40:55,080 --> 00:40:57,719
Speaker 1: was thrown off the case they he's talking about. And

679
00:40:57,760 --> 00:41:00,360
Speaker 1: then you know when he talked about a ACK, he

680
00:41:00,560 --> 00:41:03,160
Speaker 1: was wrong as well. In terms of Donald Trump, Donald

681
00:41:03,160 --> 00:41:06,120
Speaker 1: Trump saying to Howard Stern, I guess so is not

682
00:41:06,280 --> 00:41:09,279
Speaker 1: support for a war? And I know because I had

683
00:41:09,320 --> 00:41:13,120
Speaker 1: a million private conversations and he was livid over the

684
00:41:13,160 --> 00:41:18,279
Speaker 1: Iraq war. Lived right, Well, I am. Let me let

685
00:41:18,320 --> 00:41:21,400
Speaker 1: me just say that that I want advice to Trump

686
00:41:21,440 --> 00:41:23,760
Speaker 1: coming out of the last night It is be prepared

687
00:41:23,800 --> 00:41:27,360
Speaker 1: to be tougher with the moderators and not to be

688
00:41:27,400 --> 00:41:30,680
Speaker 1: tough with Hillary. Be tougher with the moderators. I mean,

689
00:41:30,920 --> 00:41:32,600
Speaker 1: he should have taken him to head on. You know

690
00:41:32,960 --> 00:41:36,240
Speaker 1: that you have this terrific article on Labor Day by

691
00:41:37,200 --> 00:41:41,120
Speaker 1: a brilliant demographer who ever said who says there are

692
00:41:41,160 --> 00:41:43,560
Speaker 1: ten million men who have dropped out of labor markets.

693
00:41:43,600 --> 00:41:46,320
Speaker 1: They're not unployd, they're going they're not even the labor market.

694
00:41:47,280 --> 00:41:50,520
Speaker 1: This is a good economy. Oh. I mean, that's the

695
00:41:50,560 --> 00:41:53,120
Speaker 1: point I've been making here, And I think this is

696
00:41:53,120 --> 00:41:56,279
Speaker 1: where the divide is. I'm not sure, and I might

697
00:41:56,320 --> 00:41:58,960
Speaker 1: be totally wrong on this, but I think going forward,

698
00:41:59,239 --> 00:42:03,520
Speaker 1: we're gonna out to have an entire new standard in

699
00:42:03,640 --> 00:42:06,160
Speaker 1: terms of where the country is now. Add these polls together,

700
00:42:06,640 --> 00:42:09,319
Speaker 1: we now have Congress at a twelve percent approval rating.

701
00:42:09,520 --> 00:42:12,839
Speaker 1: We have the latest poll Pube Gallop that come out

702
00:42:12,880 --> 00:42:16,800
Speaker 1: the lowest level the media has in terms of trust

703
00:42:16,880 --> 00:42:19,400
Speaker 1: ever in the history of the polling of these organizations.

704
00:42:20,040 --> 00:42:23,680
Speaker 1: And when you've coupled that together with their interpretation or

705
00:42:23,760 --> 00:42:28,279
Speaker 1: their their millionaire anchors interpretation of what happened last night

706
00:42:28,360 --> 00:42:31,240
Speaker 1: versus what the people are saying. Let's see in Time

707
00:42:31,280 --> 00:42:34,560
Speaker 1: and Fortune, in New Jersey dot Com, CNBC Varieties, Late

708
00:42:34,640 --> 00:42:37,720
Speaker 1: The Vegas Sun, Fox five, San Diego, San Diego Tribune,

709
00:42:37,719 --> 00:42:41,120
Speaker 1: and many many others. You've got to say, it doesn't

710
00:42:41,239 --> 00:42:44,480
Speaker 1: matter what these people say anymore. They they're out of

711
00:42:44,520 --> 00:42:47,680
Speaker 1: touch with the people that they're supposed to be reporting to,

712
00:42:48,280 --> 00:42:49,919
Speaker 1: and they're out of touch with the people. If you're

713
00:42:50,040 --> 00:42:52,880
Speaker 1: a representative that they're supposed to represent, and that includes

714
00:42:52,920 --> 00:42:57,000
Speaker 1: Republican politicians. So so let me see just a small

715
00:42:57,040 --> 00:43:01,520
Speaker 1: project we should launch after last night. What's set a

716
00:43:01,560 --> 00:43:06,720
Speaker 1: fact check the moderators? Yeah, who fact checks the fact checker?

717
00:43:07,600 --> 00:43:09,520
Speaker 1: I mean, I think if we if we had we

718
00:43:09,640 --> 00:43:12,480
Speaker 1: just put in real time during the debate, every single

719
00:43:12,520 --> 00:43:16,280
Speaker 1: time the moderator was clearly left wing, antre Trump, unfair

720
00:43:16,400 --> 00:43:20,839
Speaker 1: or inaccurate that by the end of the debate, we've

721
00:43:20,840 --> 00:43:24,160
Speaker 1: know a lot what happens as a result of this debate.

722
00:43:24,400 --> 00:43:27,160
Speaker 1: What what do you think when we read Paul? I think,

723
00:43:27,400 --> 00:43:30,160
Speaker 1: and I make this point in my news Look, I

724
00:43:30,200 --> 00:43:33,960
Speaker 1: think this was a strategic defeat for Hillary. Um. There's

725
00:43:33,960 --> 00:43:37,760
Speaker 1: a poll came out yesterday in Minneapolis. They're tried forty

726
00:43:37,840 --> 00:43:41,880
Speaker 1: two forty two in Minnesota. There's a pole from Marquette University.

727
00:43:42,120 --> 00:43:45,279
Speaker 1: He's only two points behind. In Wisconsin. He is a

728
00:43:45,400 --> 00:43:48,480
Speaker 1: head by six or seven in Iowa, and she only

729
00:43:48,520 --> 00:43:51,560
Speaker 1: has half has been the absent de ballots as Obama

730
00:43:51,600 --> 00:43:54,200
Speaker 1: head in Iowa at this point in two thousand twelve.

731
00:43:54,760 --> 00:43:57,880
Speaker 1: And these are states that should not be going in

732
00:43:57,880 --> 00:44:00,600
Speaker 1: the direction they're going in. I was in Grand Rapids,

733
00:44:00,640 --> 00:44:03,640
Speaker 1: Michigan yesterday and they believe there's a very real chance

734
00:44:03,640 --> 00:44:06,040
Speaker 1: that Trump's going to carry Michigan. Uh. He is a

735
00:44:06,080 --> 00:44:10,040
Speaker 1: head now, clearly and decisively in Ohio. Um. She needed,

736
00:44:10,320 --> 00:44:12,640
Speaker 1: she needed last night to turn things around, and she

737
00:44:12,640 --> 00:44:15,400
Speaker 1: had to do one of two things. She had to

738
00:44:15,400 --> 00:44:18,720
Speaker 1: prove the prompts as unrelivable as her of tv ads,

739
00:44:19,040 --> 00:44:20,640
Speaker 1: or he had to prove that she had a vision

740
00:44:20,680 --> 00:44:23,480
Speaker 1: of real change. She didn't either. She was the defender

741
00:44:23,520 --> 00:44:27,399
Speaker 1: of the past. And frankly, Trump came off fine. I mean,

742
00:44:27,760 --> 00:44:30,799
Speaker 1: you know, I'm I'm very proud that at the very

743
00:44:30,960 --> 00:44:35,279
Speaker 1: end when she attacked him and went off on this

744
00:44:35,360 --> 00:44:37,839
Speaker 1: whole round about women, and he could see his face

745
00:44:38,040 --> 00:44:40,600
Speaker 1: in the Republican primaries, she would have just smashed her.

746
00:44:41,120 --> 00:44:42,640
Speaker 1: But he thought about it, and he said, you know,

747
00:44:42,840 --> 00:44:46,239
Speaker 1: I'm sure, he said to himself, a president Land of

748
00:44:46,239 --> 00:44:50,839
Speaker 1: States shouldn't attack somebody personally when their daughter is sitting

749
00:44:50,880 --> 00:44:53,239
Speaker 1: in the audience. And he bit his tongue, and he

750
00:44:53,280 --> 00:44:55,680
Speaker 1: was a gentleman. And I thought, in many ways that

751
00:44:55,880 --> 00:44:58,840
Speaker 1: was the most important moment the whole evening. He proved

752
00:44:58,880 --> 00:45:02,160
Speaker 1: that he had the discipline trum mean us as a

753
00:45:02,160 --> 00:45:05,439
Speaker 1: decent guy, even when she was disgusting and I think

754
00:45:05,440 --> 00:45:08,360
Speaker 1: it probably was a great disappointment to her staff that

755
00:45:08,800 --> 00:45:10,960
Speaker 1: this this taunt that they were sure was going to

756
00:45:11,040 --> 00:45:13,800
Speaker 1: set him off so that they would end the debate

757
00:45:13,840 --> 00:45:16,879
Speaker 1: with him doing something foolish. Instead, he came off looking

758
00:45:16,920 --> 00:45:19,120
Speaker 1: like a juggle, like a gentleman, and she came off

759
00:45:19,160 --> 00:45:22,200
Speaker 1: looking pretty mean and miserable. It was interesting that she

760
00:45:22,280 --> 00:45:24,040
Speaker 1: held that back. One of the things I felt too.

761
00:45:24,080 --> 00:45:26,040
Speaker 1: I mean, there's so much that we didn't get to

762
00:45:26,160 --> 00:45:28,800
Speaker 1: in this debate that will come up in the next debate.

763
00:45:28,880 --> 00:45:31,439
Speaker 1: I mean, you know, we can run through the list. Well,

764
00:45:31,880 --> 00:45:34,040
Speaker 1: maybe maybe I'm maybe I'm expecting too much of my

765
00:45:34,080 --> 00:45:36,600
Speaker 1: liberal media friends, but you know, I would expect that

766
00:45:36,680 --> 00:45:39,560
Speaker 1: Benghazi's gonna come up. I'd expect that money from the

767
00:45:39,560 --> 00:45:42,319
Speaker 1: Saudi's is gonna come up. I'd expect the emails are

768
00:45:42,320 --> 00:45:44,680
Speaker 1: going to come up. And also put together a checklist

769
00:45:44,719 --> 00:45:47,880
Speaker 1: for future moderators, you know, topics you should try to

770
00:45:47,920 --> 00:45:50,520
Speaker 1: get to. Yeah, listen, I mean, they didn't talk about

771
00:45:50,520 --> 00:45:53,000
Speaker 1: the deleted emails. They didn't talk about Benghazi, they didn't

772
00:45:53,040 --> 00:45:55,480
Speaker 1: talk about vetting refugees, they didn't talk about the wall,

773
00:45:55,719 --> 00:45:58,560
Speaker 1: they didn't talk about the Supreme Court. I mean, and

774
00:45:58,560 --> 00:46:01,360
Speaker 1: they only skimmed the surface on energy independence and and

775
00:46:01,440 --> 00:46:04,600
Speaker 1: her insanity about well solar panels. I'm like, well, didn't

776
00:46:04,600 --> 00:46:07,080
Speaker 1: we try all of this with Celindra and didn't they

777
00:46:07,080 --> 00:46:11,640
Speaker 1: get rich? And we wasted all that money? Yep. So alright,

778
00:46:11,680 --> 00:46:15,120
Speaker 1: so overall a good night for Trump. I think I'm

779
00:46:15,120 --> 00:46:17,399
Speaker 1: going to be fascinated with the polls. I don't think

780
00:46:17,400 --> 00:46:19,680
Speaker 1: the media has the influence they once think that they

781
00:46:19,719 --> 00:46:21,839
Speaker 1: had in terms of influencing people. And I think that'll

782
00:46:21,840 --> 00:46:24,319
Speaker 1: be this this kind of this kind of one side

783
00:46:24,320 --> 00:46:27,359
Speaker 1: of treatment, just further weekends. And this is everybody who's

784
00:46:27,360 --> 00:46:30,840
Speaker 1: discussed it with Washington that they are Washington. They're sending

785
00:46:30,920 --> 00:46:33,640
Speaker 1: Washington there propping up Billy uh And and in the

786
00:46:33,680 --> 00:46:35,839
Speaker 1: long run, I think it's strengthens Trump. And I think

787
00:46:36,200 --> 00:46:38,400
Speaker 1: he just got to continue to calm me and methodically

788
00:46:38,440 --> 00:46:41,480
Speaker 1: prepare a campaign and raise the issues that are working.

789
00:46:41,840 --> 00:46:44,280
Speaker 1: All right, well said Mr Speaker, Thank you as always

790
00:46:44,880 --> 00:46:46,719
Speaker 1: his column. By the way, we'll put it up on

791
00:46:46,760 --> 00:46:50,120
Speaker 1: my website, Hannity dot com. The intellectual yet idiot class

792
00:46:50,560 --> 00:46:54,880
Speaker 1: gets the debate wrong extraordinarily, well, said Lester Halt. Rightly,

793
00:46:54,960 --> 00:46:58,800
Speaker 1: so is getting the criticism he deserves here his opening

794
00:46:58,960 --> 00:47:03,080
Speaker 1: question about the economy is pretty amazing, and then so on,

795
00:47:03,160 --> 00:47:07,239
Speaker 1: and so I'm thinking, no, it's not. We've had six

796
00:47:07,360 --> 00:47:11,520
Speaker 1: consecutive this and that. I'm like, what alter reality of

797
00:47:11,640 --> 00:47:15,120
Speaker 1: are you living in? And he really did a disservice

798
00:47:15,239 --> 00:47:17,000
Speaker 1: right out of the box, almost like trying to make

799
00:47:17,040 --> 00:47:21,000
Speaker 1: the case for Barack Obama's economy, which within how pillory

800
00:47:21,040 --> 00:47:22,800
Speaker 1: because she has planned that she's going to go forward

801
00:47:22,840 --> 00:47:26,279
Speaker 1: with that plan. You know, that was one example of

802
00:47:26,360 --> 00:47:30,640
Speaker 1: him pulling a Candy Crowley. And there are other examples also.

803
00:47:30,680 --> 00:47:33,799
Speaker 1: I mean when he challenged Donald Trump on the whole

804
00:47:33,800 --> 00:47:35,920
Speaker 1: issue of Iraq, putting me out of it for just

805
00:47:35,960 --> 00:47:39,160
Speaker 1: a second. Let's go to before the Iraq War what

806
00:47:39,239 --> 00:47:41,319
Speaker 1: he said to my buddy Neil Cavudo. Listen to this.

807
00:47:41,640 --> 00:47:43,600
Speaker 1: You had to sort of break down for the president

808
00:47:43,600 --> 00:47:45,399
Speaker 1: if you were advising him how much time you commit

809
00:47:45,520 --> 00:47:47,920
Speaker 1: to Iraq versus how much time you commit to the economy.

810
00:47:48,200 --> 00:47:50,719
Speaker 1: What would you say, Well, I'm starting to think that

811
00:47:50,760 --> 00:47:53,400
Speaker 1: people are much more focused now on the economy. They're

812
00:47:53,560 --> 00:47:56,280
Speaker 1: getting a little bit tired of, uh, you know, hearing

813
00:47:56,320 --> 00:47:58,680
Speaker 1: we're going in We're not going in with you know,

814
00:47:58,719 --> 00:48:01,080
Speaker 1: whatever happened to the days of Uglas McArthur. I mean

815
00:48:01,120 --> 00:48:03,319
Speaker 1: he'd go and attack, he wouldn't talk. I mean we

816
00:48:03,360 --> 00:48:05,960
Speaker 1: have to. You know, it's it's sort of like either

817
00:48:06,120 --> 00:48:08,640
Speaker 1: do it or don't do it. You're saying, the leash

818
00:48:08,719 --> 00:48:10,320
Speaker 1: on this is getting kind of short here, that the

819
00:48:10,360 --> 00:48:13,799
Speaker 1: president has got to do something, presumably sooner rather than later,

820
00:48:13,880 --> 00:48:16,640
Speaker 1: and stringing this along could ultimately hurt us. Well, he's

821
00:48:16,680 --> 00:48:18,719
Speaker 1: either got to do something or not do something. Yea,

822
00:48:19,000 --> 00:48:22,040
Speaker 1: perhaps because perhaps he shouldn't be doing it yet and

823
00:48:22,120 --> 00:48:24,880
Speaker 1: perhaps we should be waiting for the United Nations. Uh,

824
00:48:24,920 --> 00:48:27,439
Speaker 1: you know, he's he's under a lot of pressure. He's

825
00:48:27,960 --> 00:48:29,879
Speaker 1: you know, I think he's doing a very good job.

826
00:48:29,960 --> 00:48:32,000
Speaker 1: But of course, if you look at the polls, a

827
00:48:32,000 --> 00:48:33,560
Speaker 1: lot of people are getting a little card. I think

828
00:48:33,600 --> 00:48:36,560
Speaker 1: the the Iraqi situation is a problem, and I think

829
00:48:36,600 --> 00:48:40,239
Speaker 1: the economy is a much bigger problem. The Iraqi situation

830
00:48:40,360 --> 00:48:42,640
Speaker 1: is a problem. Maybe he considered maybe he shouldn't go

831
00:48:44,400 --> 00:48:48,640
Speaker 1: because the economy is a bigger problem. Pretty interesting, wasn't it.

832
00:48:49,440 --> 00:48:51,759
Speaker 1: And you know, and what the Median and people like

833
00:48:51,840 --> 00:48:54,239
Speaker 1: luster Whole are going off of as an interview that

834
00:48:54,239 --> 00:48:57,080
Speaker 1: he did on the Howard Stern Show. Although you for

835
00:48:57,360 --> 00:48:59,600
Speaker 1: invading or I guess so, but we have an idea.

836
00:48:59,760 --> 00:49:01,920
Speaker 1: The me isn't a lot of times the politicians don't

837
00:49:01,960 --> 00:49:04,799
Speaker 1: want to tell you that, are you for invading Iraq? See?

838
00:49:04,920 --> 00:49:07,960
Speaker 1: I guess so. Uh, you know, I wish it was

839
00:49:08,120 --> 00:49:11,920
Speaker 1: I wish the first time it was done correctly. Okay,

840
00:49:12,040 --> 00:49:15,120
Speaker 1: So now he's talking about that, But the Cavodo interview

841
00:49:15,160 --> 00:49:20,040
Speaker 1: was before the war. Oh excuse me. Um, So there's three,

842
00:49:20,120 --> 00:49:23,400
Speaker 1: you know, big separate times here that he goes Candy Crowley.

843
00:49:23,480 --> 00:49:25,400
Speaker 1: But you know, look, it is what it is. You

844
00:49:25,440 --> 00:49:28,160
Speaker 1: can't stop the media from being who the media is

845
00:49:28,239 --> 00:49:30,839
Speaker 1: and what they are and what they're always gonna be.

846
00:49:31,000 --> 00:49:33,319
Speaker 1: So you know, he's wrong on Iraq, he's wrong on

847
00:49:33,360 --> 00:49:36,040
Speaker 1: the economy. And then he was also wrong on stopping

848
00:49:36,120 --> 00:49:38,919
Speaker 1: FRIS because the judge got thrown off that case. Communities

849
00:49:38,920 --> 00:49:43,640
Speaker 1: are being decimated. Two minutes of experiment. I do want

850
00:49:43,640 --> 00:49:46,960
Speaker 1: to follow up. Stopping FRIS was ruled on constitutional in

851
00:49:47,040 --> 00:49:51,840
Speaker 1: New York because it largely singled out black and hispanic young. No,

852
00:49:52,280 --> 00:49:56,960
Speaker 1: you're wrong. Uh. It went before a judge who was

853
00:49:57,040 --> 00:50:01,359
Speaker 1: a very against police judge. It was taken away from

854
00:50:01,360 --> 00:50:05,239
Speaker 1: her and our mayor, our new mayor refused to go

855
00:50:05,320 --> 00:50:07,560
Speaker 1: forward with the case they would have wanted appeal. If

856
00:50:07,560 --> 00:50:10,360
Speaker 1: you look at it throughout the country, there are many places.

857
00:50:10,400 --> 00:50:12,360
Speaker 1: We argument is that it is it's a form of

858
00:50:12,440 --> 00:50:14,920
Speaker 1: racial profile. No, the argument is that we have to

859
00:50:14,920 --> 00:50:17,120
Speaker 1: take the guns away from these people that have them

860
00:50:17,160 --> 00:50:20,239
Speaker 1: and that are bad people that shouldn't have them. All right,

861
00:50:20,280 --> 00:50:23,040
Speaker 1: so they you have it all. Let's get to our phones.

862
00:50:23,400 --> 00:50:29,200
Speaker 1: Uh is it Camaro? Cameraon? It's in two lines here camera?

863
00:50:29,600 --> 00:50:32,439
Speaker 1: What's up Cameron? How are you hey? I'm doing well. Sean?

864
00:50:32,440 --> 00:50:35,120
Speaker 1: How are you doing today? I'm good? What's going on? Oh?

865
00:50:35,200 --> 00:50:37,160
Speaker 1: Nothing much, man, I just wanted to touch on the

866
00:50:37,360 --> 00:50:40,680
Speaker 1: debate last night. Um, just the obvious and clear bias

867
00:50:40,719 --> 00:50:43,000
Speaker 1: from Lesterhole. You know, right out of the gate, they

868
00:50:43,040 --> 00:50:45,440
Speaker 1: wasted no time going after, you know, with the economy

869
00:50:45,719 --> 00:50:49,120
Speaker 1: saying how it's some great position when you know, you

870
00:50:49,239 --> 00:50:51,080
Speaker 1: say on your show every day you with the stats

871
00:50:51,080 --> 00:50:54,560
Speaker 1: and statistics on how it's not just that point first

872
00:50:54,600 --> 00:50:57,280
Speaker 1: of all, and then no, even going into the cyber

873
00:50:57,320 --> 00:50:59,839
Speaker 1: security thing, you know, how how they did not tie

874
00:51:00,040 --> 00:51:02,680
Speaker 1: question about her emails into a cyber you know, in

875
00:51:02,719 --> 00:51:06,279
Speaker 1: that cybersecurity question, part was just you know, if that's

876
00:51:06,280 --> 00:51:09,080
Speaker 1: not a sign of bias. I don't know what is. Look,

877
00:51:09,120 --> 00:51:12,280
Speaker 1: I mean I almost expected it doesn't surprise me. And

878
00:51:12,920 --> 00:51:14,799
Speaker 1: I just think Donald Trump did the best he could

879
00:51:14,800 --> 00:51:16,600
Speaker 1: with all of that. Now what that said, I felt

880
00:51:16,680 --> 00:51:21,200
Speaker 1: Hillary also she gave us everything she's got last night.

881
00:51:21,719 --> 00:51:24,799
Speaker 1: You know, maybe she didn't bring up Trump University. She

882
00:51:24,920 --> 00:51:28,560
Speaker 1: brought up every single negative thing that she had prepared

883
00:51:28,600 --> 00:51:31,000
Speaker 1: against Donald Trump. And he basically, I think this was

884
00:51:31,040 --> 00:51:32,799
Speaker 1: the test. It was exactly what I said it was

885
00:51:32,800 --> 00:51:37,200
Speaker 1: gonna be, and that is She's going to try and aggravate, agitate, irritate, upsetting,

886
00:51:37,239 --> 00:51:40,200
Speaker 1: hurt his feelings, and he kept his cool and even

887
00:51:40,239 --> 00:51:43,400
Speaker 1: at the end, I actually actually think Newts analysis was right.

888
00:51:43,440 --> 00:51:45,360
Speaker 1: That was a big moment at the end of that debate.

889
00:51:46,000 --> 00:51:48,560
Speaker 1: I mean, she tried to go all out Megan Kelly

890
00:51:48,600 --> 00:51:52,240
Speaker 1: on him with the same words, same phrasing, same question,

891
00:51:53,200 --> 00:51:55,440
Speaker 1: And at the end of the day, he didn't take debate.

892
00:51:56,400 --> 00:51:59,839
Speaker 1: You know, he could have. And I think the expectation was, well,

893
00:51:59,880 --> 00:52:02,120
Speaker 1: he fought Megan Kelly over this for such a long

894
00:52:02,160 --> 00:52:06,000
Speaker 1: period of time, you know he's gonna probably fight Hillary

895
00:52:06,040 --> 00:52:08,719
Speaker 1: Clinton over this for the same period of time. And

896
00:52:08,760 --> 00:52:10,560
Speaker 1: then he looked out into the audience and he saw

897
00:52:10,640 --> 00:52:13,919
Speaker 1: Bill Clinton, and he saw Chelsea Clinton, and he said,

898
00:52:14,080 --> 00:52:16,160
Speaker 1: everybody knows what I can say right now, but I'm

899
00:52:16,200 --> 00:52:19,880
Speaker 1: not gonna do it. Uh. The exact opposite, the exact

900
00:52:20,040 --> 00:52:24,359
Speaker 1: opposite of what everybody would have fought coming into this

901
00:52:24,440 --> 00:52:27,399
Speaker 1: debate that Donald Trump would have done. And I think

902
00:52:27,400 --> 00:52:30,880
Speaker 1: that was a big moment for him. I really do. Yeah, absolutely,

903
00:52:31,040 --> 00:52:34,279
Speaker 1: all right, Cameron, thank you. Back to our phones. J

904
00:52:34,760 --> 00:52:39,040
Speaker 1: G News Radio six w I O D in Miami,

905
00:52:39,120 --> 00:52:44,759
Speaker 1: how are you are you last night? And going off

906
00:52:44,800 --> 00:52:48,520
Speaker 1: what speaker Gingrich said, I I understand and I get it,

907
00:52:48,560 --> 00:52:50,640
Speaker 1: but again, I think he could articulated that a little

908
00:52:50,680 --> 00:52:54,400
Speaker 1: better because when he did it, I I was reserved

909
00:52:54,400 --> 00:52:56,799
Speaker 1: in my thinking thinking I wish he had gone there.

910
00:52:56,840 --> 00:52:59,400
Speaker 1: But then again, I totally agree with the speaker. However,

911
00:52:59,680 --> 00:53:04,120
Speaker 1: when I think is that while while Mr Trump did

912
00:53:04,160 --> 00:53:06,359
Speaker 1: not lose the debate, I don't think he wanted. In

913
00:53:06,360 --> 00:53:08,320
Speaker 1: other words, I don't think he went backwards, but he

914
00:53:08,320 --> 00:53:12,120
Speaker 1: should have gone forward. And watching Hillary and her demeanor

915
00:53:12,239 --> 00:53:16,160
Speaker 1: was great because I think she's basically a sit and duck.

916
00:53:16,280 --> 00:53:19,440
Speaker 1: Trump has a wealth a welcome information. I think he

917
00:53:19,440 --> 00:53:21,600
Speaker 1: should put her on the ropes and keep her on

918
00:53:21,640 --> 00:53:23,640
Speaker 1: the ropes in the next debate, in the following one,

919
00:53:24,200 --> 00:53:27,040
Speaker 1: I would think, and now that Hillary's opened the door

920
00:53:27,080 --> 00:53:30,000
Speaker 1: to all these attacks, looked at as I said, I

921
00:53:30,040 --> 00:53:35,640
Speaker 1: think she fired every prepared line bullet that she had

922
00:53:35,680 --> 00:53:39,000
Speaker 1: against him. She fired every bullet in that gun. And

923
00:53:39,040 --> 00:53:41,479
Speaker 1: I think he, for his part, he kind of held

924
00:53:41,520 --> 00:53:44,399
Speaker 1: his fire a little. And I think when you think

925
00:53:44,400 --> 00:53:46,840
Speaker 1: of all the things he can bring up going forward

926
00:53:46,880 --> 00:53:49,279
Speaker 1: from you know, all the issues that I keep talking about.

927
00:53:49,320 --> 00:53:52,000
Speaker 1: He can bring up Benghazi, he can bring up the

928
00:53:52,040 --> 00:53:55,840
Speaker 1: deleted emails. Further, he can bring up Saudi Arabia and

929
00:53:55,920 --> 00:53:58,000
Speaker 1: the money that she got from the Saudis. He can

930
00:53:58,040 --> 00:54:01,040
Speaker 1: bring up not vetting refugees, can bring up the wall,

931
00:54:01,120 --> 00:54:03,600
Speaker 1: the type of justices. You'll the point. So there's plenty.

932
00:54:03,640 --> 00:54:06,040
Speaker 1: He's got plenty left. I mean, there's two more debates.

933
00:54:06,080 --> 00:54:08,600
Speaker 1: And let's say, j G, you're right, Let's say he

934
00:54:08,600 --> 00:54:11,799
Speaker 1: played to a draw. I mean, she's a professional politician,

935
00:54:11,800 --> 00:54:14,719
Speaker 1: and she but this is the heart of it. Though yes,

936
00:54:14,800 --> 00:54:18,560
Speaker 1: she she memorized her lines. I don't think I'm telling

937
00:54:18,560 --> 00:54:21,520
Speaker 1: you there's something that is not gonna work with that

938
00:54:21,680 --> 00:54:27,000
Speaker 1: style anymore. It's not about being somebody that can memorize

939
00:54:27,480 --> 00:54:32,400
Speaker 1: talking points and singers, and I mean she she outlined everyone,

940
00:54:32,440 --> 00:54:35,399
Speaker 1: and she showed she memorized them perfectly. When you stay

941
00:54:35,440 --> 00:54:38,759
Speaker 1: home every day and that's all you do is debate prep, yeah,

942
00:54:38,800 --> 00:54:41,240
Speaker 1: that you're gonna memorize your lines, I guess at some point,

943
00:54:41,880 --> 00:54:44,600
Speaker 1: I just don't. I just don't think it was effective.

944
00:54:44,640 --> 00:54:46,600
Speaker 1: I don't think it was inspiring. I don't think it

945
00:54:46,719 --> 00:54:49,240
Speaker 1: did a whole lot. I think it was a debate

946
00:54:49,280 --> 00:54:53,279
Speaker 1: model paradigm that I think is now outdated. As listen,

947
00:54:53,320 --> 00:54:55,239
Speaker 1: I'm gonna tell you right now. Even Ted Cruz said this,

948
00:54:55,960 --> 00:54:58,359
Speaker 1: Donald Trump had the best debate performance you've ever had.

949
00:54:59,320 --> 00:55:03,920
Speaker 1: Ted Crew who's had trouble in debates with Donald Trump,

950
00:55:04,560 --> 00:55:10,200
Speaker 1: Ted Cruise knew everything and he just knows everything. Ted Cruz,

951
00:55:10,960 --> 00:55:20,000
Speaker 1: you know, as a brilliant was a national debate champion stylistically, informationally, memorization.

952
00:55:20,360 --> 00:55:23,680
Speaker 1: He's got it all down. But it still wasn't enough

953
00:55:23,719 --> 00:55:27,560
Speaker 1: to beat Trump. You gotta think about that. That's amazing statistic.

954
00:55:27,640 --> 00:55:29,719
Speaker 1: And I you know, and I say this as a

955
00:55:29,719 --> 00:55:33,560
Speaker 1: as a Cruise fan, I like Ted Cruz. I say

956
00:55:33,560 --> 00:55:37,759
Speaker 1: this as somebody that is is that admires the fact

957
00:55:37,840 --> 00:55:40,799
Speaker 1: that he's different than these guys in d C. You know,

958
00:55:41,080 --> 00:55:44,320
Speaker 1: I I know people are talking about challenging him in Texas.

959
00:55:44,360 --> 00:55:46,560
Speaker 1: He's not gonna get challenged in Texas. People of Texas

960
00:55:46,560 --> 00:55:50,320
Speaker 1: love him. UM. Anyway, good points, appreciate it. Eight D

961
00:55:50,440 --> 00:55:53,279
Speaker 1: nine for one. Shawn Corey in Oklahoma. Hi Corey, how

962
00:55:53,320 --> 00:55:56,399
Speaker 1: are you? And We're glad you called with you. UM.

963
00:55:56,760 --> 00:55:59,279
Speaker 1: I just wanted to point out the obvious bias by

964
00:55:59,280 --> 00:56:03,080
Speaker 1: the media following this debate. Um. You know, the one

965
00:56:03,120 --> 00:56:05,759
Speaker 1: poll that they're quoting to was five people pulled by

966
00:56:05,800 --> 00:56:09,719
Speaker 1: CNN showing her win the vote. But then when you

967
00:56:09,800 --> 00:56:12,400
Speaker 1: go over to Time magazine, and you go over to Fortune,

968
00:56:12,400 --> 00:56:14,919
Speaker 1: and you go over to CNBC, there were over three

969
00:56:15,000 --> 00:56:19,200
Speaker 1: million combined responders and it's showing him with a very

970
00:56:19,280 --> 00:56:22,400
Speaker 1: large lead of an average of sixties. Sometimes I just

971
00:56:22,440 --> 00:56:24,640
Speaker 1: think that that's I'm not gonna sit well with voters,

972
00:56:24,680 --> 00:56:27,120
Speaker 1: because the voters voice outweighs the voice of the bias

973
00:56:27,200 --> 00:56:29,960
Speaker 1: media that Trump's exposing. I think you're right. I think

974
00:56:30,000 --> 00:56:32,560
Speaker 1: this is what my very point today is that there's

975
00:56:32,600 --> 00:56:36,120
Speaker 1: now a huge divide. You've got the media now that

976
00:56:36,360 --> 00:56:38,960
Speaker 1: is at its lowest approval rating in the history of polling.

977
00:56:39,000 --> 00:56:42,200
Speaker 1: You've got politicians in Washington the lowest approval ratings since

978
00:56:42,640 --> 00:56:47,160
Speaker 1: the history of polling, and that includes Republicans too, And

979
00:56:47,239 --> 00:56:50,279
Speaker 1: you've got and then you've got the rest of us.

980
00:56:50,840 --> 00:56:54,680
Speaker 1: You know, I think every day I've given out statistics

981
00:56:54,719 --> 00:56:57,760
Speaker 1: on this program that I think matter in this election

982
00:56:57,800 --> 00:57:01,200
Speaker 1: more than anything else. And I don't know. I think

983
00:57:01,239 --> 00:57:05,040
Speaker 1: I know where my passion for this comes from. You know,

984
00:57:05,120 --> 00:57:08,680
Speaker 1: my passion for Americans out of work, my passion for

985
00:57:08,719 --> 00:57:11,040
Speaker 1: one in five American families without a single member in

986
00:57:11,080 --> 00:57:14,720
Speaker 1: the in the workforce. My passion for twelve million additional

987
00:57:14,760 --> 00:57:17,920
Speaker 1: Americans on food stamps, my passion for reading eight million

988
00:57:17,920 --> 00:57:22,439
Speaker 1: more Americans are in poverty, My passion the lowest home

989
00:57:22,440 --> 00:57:25,600
Speaker 1: ownership rate in fifty one years. Where does that come from?

990
00:57:25,640 --> 00:57:29,480
Speaker 1: It comes from my experience of having no money. It

991
00:57:29,560 --> 00:57:33,080
Speaker 1: comes from my experience of starting out life with nothing.

992
00:57:33,560 --> 00:57:36,640
Speaker 1: It comes from my experience of living paycheck to paycheck

993
00:57:37,160 --> 00:57:42,760
Speaker 1: the way most Americans now sadly live. And that's where Look,

994
00:57:42,800 --> 00:57:45,080
Speaker 1: I can tell you all of my media colleagues, I

995
00:57:45,120 --> 00:57:48,680
Speaker 1: am not loved by anybody in the news media. You know,

996
00:57:48,800 --> 00:57:51,720
Speaker 1: last night, when I walked into the big media room.

997
00:57:51,720 --> 00:57:54,439
Speaker 1: There had to be thousand people in there. I mean,

998
00:57:54,520 --> 00:57:57,280
Speaker 1: the only people in that room that like me are

999
00:57:57,280 --> 00:58:00,400
Speaker 1: the police officers who I shake hands with. The actually

1000
00:58:00,440 --> 00:58:02,240
Speaker 1: and and the media is so against you because you're

1001
00:58:02,280 --> 00:58:04,120
Speaker 1: the only one on they're giving those true stats and

1002
00:58:04,160 --> 00:58:09,040
Speaker 1: Trump's playing they the fact. And then Donald Trump walks

1003
00:58:09,040 --> 00:58:11,320
Speaker 1: out right after and the first thing you did to

1004
00:58:11,400 --> 00:58:13,400
Speaker 1: see me and walk over and did an interview with me,

1005
00:58:13,560 --> 00:58:16,680
Speaker 1: and they hate that. And you know, you know why

1006
00:58:16,840 --> 00:58:18,720
Speaker 1: is it? Because I've been fair to the guy and

1007
00:58:18,760 --> 00:58:21,760
Speaker 1: I let him talk, because I make arguments against Hillary,

1008
00:58:21,800 --> 00:58:24,480
Speaker 1: and I have an opinion of the people in that

1009
00:58:24,600 --> 00:58:28,520
Speaker 1: room are biased, except they lie and I'm dead honest,

1010
00:58:28,840 --> 00:58:30,760
Speaker 1: So I guess that's one of the reasons they don't

1011
00:58:30,760 --> 00:58:32,680
Speaker 1: like me. And by the way, do you think I

1012
00:58:32,720 --> 00:58:37,320
Speaker 1: give a rip? No? No, do you think I've ever

1013
00:58:37,440 --> 00:58:42,760
Speaker 1: been to a media event. I've been in at Fox.

1014
00:58:42,760 --> 00:58:45,000
Speaker 1: I'm starting my twenty feet year on the Fox News

1015
00:58:45,080 --> 00:58:48,560
Speaker 1: channel next week. I've never been a one Washington correspondence dinner.

1016
00:58:48,720 --> 00:58:50,760
Speaker 1: And you know what, you could shoot me before I

1017
00:58:50,760 --> 00:58:54,120
Speaker 1: ever go to one. Please save me the pain, all right, buddy,

1018
00:58:54,120 --> 00:58:58,880
Speaker 1: appreciate it. Um, let's go to Jezebel, Reno, Nevada. What's

1019
00:58:58,880 --> 00:59:02,439
Speaker 1: going on, Jezebel? How are you? Haythan I'm doing fantastic.

1020
00:59:02,480 --> 00:59:05,479
Speaker 1: How you doing today? Hey? You know, I just wanted

1021
00:59:05,520 --> 00:59:09,400
Speaker 1: to make a comment. You know, I definitely feel isn't

1022
00:59:09,440 --> 00:59:12,520
Speaker 1: a strong to a fend. But towards the end of

1023
00:59:12,560 --> 00:59:15,680
Speaker 1: the debate, he was asked a question by Lester Holt

1024
00:59:16,160 --> 00:59:20,280
Speaker 1: on what exactly did he mean that Hillary doesn't have

1025
00:59:20,440 --> 00:59:24,720
Speaker 1: the look? And instead of him saying stamina, what he

1026
00:59:24,920 --> 00:59:28,160
Speaker 1: should have said. She has the look of a liar.

1027
00:59:28,480 --> 00:59:32,800
Speaker 1: She has the look of a morally and politically corrupt

1028
00:59:32,920 --> 00:59:36,280
Speaker 1: person who has been tangled up in a scandal. After

1029
00:59:36,400 --> 00:59:41,439
Speaker 1: scandal worked both Bill and Hillary disbarred from practicing law.

1030
00:59:42,160 --> 00:59:46,360
Speaker 1: Wasn't Bill Clinton? And once the Clintons kicked out of

1031
00:59:46,440 --> 00:59:49,280
Speaker 1: the White House. She has the look of a person

1032
00:59:49,520 --> 00:59:52,960
Speaker 1: with no help from our government, who is above the law.

1033
00:59:53,280 --> 00:59:56,480
Speaker 1: That's how he should have responded when she's look, listen,

1034
00:59:56,520 --> 00:59:58,479
Speaker 1: he did leave stuff on the table that I wish

1035
00:59:58,480 --> 01:00:00,960
Speaker 1: he would have used. But you know, the more I

1036
01:00:01,040 --> 01:00:04,040
Speaker 1: really thought about it, and the more I think about

1037
01:00:04,120 --> 01:00:08,760
Speaker 1: it is, you know, I there's a certain refreshing quality

1038
01:00:08,960 --> 01:00:12,680
Speaker 1: to not being robotic. There's a certain refreshing quality to

1039
01:00:12,760 --> 01:00:16,600
Speaker 1: being authentic and honest and having principles that you're advancing

1040
01:00:16,640 --> 01:00:19,520
Speaker 1: without having the script that goes along with it, you know.

1041
01:00:19,600 --> 01:00:22,360
Speaker 1: But I actually think there's an appeal, which I think

1042
01:00:22,480 --> 01:00:25,240
Speaker 1: was proven in the primary process, of somebody that is

1043
01:00:25,280 --> 01:00:28,600
Speaker 1: not polished, that's not a professional politician. You know, my

1044
01:00:28,720 --> 01:00:31,520
Speaker 1: husband brought out to my attention. My husband says, you

1045
01:00:31,560 --> 01:00:36,480
Speaker 1: know what, honey, he hasn't had thirty years to practice

1046
01:00:36,840 --> 01:00:41,760
Speaker 1: and master the art of being a political liar. I've

1047
01:00:41,760 --> 01:00:44,000
Speaker 1: seen a commercial this morning on TV where it was

1048
01:00:44,080 --> 01:00:49,200
Speaker 1: Hillary a long time ago talking how education and children

1049
01:00:49,240 --> 01:00:52,200
Speaker 1: are so important that she's going to do everything she

1050
01:00:52,400 --> 01:00:55,800
Speaker 1: can so that no child is left behind. While I'll

1051
01:00:55,800 --> 01:00:58,760
Speaker 1: tell you what, here we are in twenty six and

1052
01:00:58,920 --> 01:01:02,880
Speaker 1: unfortunately my grandson, who is eleven years old, have been

1053
01:01:02,960 --> 01:01:05,840
Speaker 1: left behind. Yeah, well, I gotta tell you. I think

1054
01:01:05,840 --> 01:01:08,200
Speaker 1: you're right, and I think your husband's right, and I

1055
01:01:08,320 --> 01:01:10,760
Speaker 1: think the American people get that, and I don't think

1056
01:01:10,760 --> 01:01:14,520
Speaker 1: they're looking for the professional, robotic politician that memorizes their

1057
01:01:14,560 --> 01:01:16,880
Speaker 1: lines and lies to them and says, if you like

1058
01:01:16,960 --> 01:01:19,960
Speaker 1: your plan, you keep your plan. You like your doctor,

1059
01:01:20,000 --> 01:01:22,720
Speaker 1: you keep your doctor. On average, the American family pased

1060
01:01:22,720 --> 01:01:25,040
Speaker 1: twenty dollars less a year, and then you end up

1061
01:01:25,040 --> 01:01:28,320
Speaker 1: losing your doctor, your plan and paying extra a year.

1062
01:01:28,400 --> 01:01:31,160
Speaker 1: Oh excuse me, sorry, but my plan is still great.

1063
01:01:31,480 --> 01:01:33,880
Speaker 1: I love my plan. I got a better plan than

1064
01:01:33,880 --> 01:01:37,240
Speaker 1: you do. Your regulations are a disaster, and you're gonna

1065
01:01:37,280 --> 01:01:39,800
Speaker 1: increase regulations all over the place. And by the way,

1066
01:01:40,080 --> 01:01:42,920
Speaker 1: my tax cut is the biggest since Ronald Reagan. I'm

1067
01:01:43,000 --> 01:01:46,040
Speaker 1: very proud of it. It will create tremendous numbers of

1068
01:01:46,080 --> 01:01:49,840
Speaker 1: new jobs. But regulations. You are going to regulate these

1069
01:01:49,840 --> 01:01:53,040
Speaker 1: businesses out of existence. When I go around Leicester, I

1070
01:01:53,040 --> 01:01:55,520
Speaker 1: tell you this. I've been all over and when I

1071
01:01:55,560 --> 01:01:59,160
Speaker 1: go around, despite the tax cut, the thing the things

1072
01:01:59,200 --> 01:02:02,440
Speaker 1: that business and and people like the most is the

1073
01:02:02,480 --> 01:02:06,760
Speaker 1: fact that I'm cutting regulation. You have regulations on top

1074
01:02:06,840 --> 01:02:11,200
Speaker 1: of regulations, and new companies cannot form and old companies

1075
01:02:11,200 --> 01:02:13,480
Speaker 1: are going out of business, and you want to increase

1076
01:02:13,520 --> 01:02:15,920
Speaker 1: the regulations and make them even worse. I'm going to

1077
01:02:16,000 --> 01:02:19,680
Speaker 1: cut regulations, but I'm going to cut taxes big league,

1078
01:02:19,960 --> 01:02:23,360
Speaker 1: and you're gonna raise taxes big league. End of store.

1079
01:02:23,480 --> 01:02:26,880
Speaker 1: Today is my granddaughter's second birthday, so I think about

1080
01:02:26,880 --> 01:02:29,480
Speaker 1: this a lot. First, we have to build an economy

1081
01:02:29,600 --> 01:02:32,160
Speaker 1: that works for everyone, not just those at the top.

1082
01:02:32,400 --> 01:02:36,480
Speaker 1: That means we need new jobs, good jobs with rising incomes.

1083
01:02:36,520 --> 01:02:38,840
Speaker 1: I want us to invest in you. I want us

1084
01:02:38,880 --> 01:02:42,120
Speaker 1: to invest in your future. That means jobs in infrastructure,

1085
01:02:42,200 --> 01:02:47,720
Speaker 1: in advanced manufacturing, in invasion and technology, clean renewable energy,

1086
01:02:48,200 --> 01:02:50,680
Speaker 1: and small business because most of the new jobs will

1087
01:02:50,720 --> 01:02:53,280
Speaker 1: come from small business. We also have to make the

1088
01:02:53,320 --> 01:02:57,320
Speaker 1: economy fairer. That starts with raising the national minimum wage

1089
01:02:57,640 --> 01:03:02,160
Speaker 1: and also guarantee finally equal pay for women's work. I

1090
01:03:02,200 --> 01:03:05,320
Speaker 1: also want to see more companies do profit sharing. If

1091
01:03:05,360 --> 01:03:07,600
Speaker 1: you help create the profits, you should be able to

1092
01:03:07,600 --> 01:03:10,200
Speaker 1: share in them, not just the executives at the top.

1093
01:03:10,440 --> 01:03:13,160
Speaker 1: And I want us to do more to support people

1094
01:03:13,280 --> 01:03:16,800
Speaker 1: who are struggling to balance family and work. I've heard

1095
01:03:16,800 --> 01:03:19,600
Speaker 1: from so many of you about the difficult choices you

1096
01:03:19,680 --> 01:03:23,080
Speaker 1: face and the stresses that you're under. So let's have

1097
01:03:23,160 --> 01:03:26,800
Speaker 1: paid family leave, earned sick days. Let's be sure we

1098
01:03:26,840 --> 01:03:29,920
Speaker 1: have affordable childcare and debt free college. How are we

1099
01:03:29,920 --> 01:03:31,840
Speaker 1: gonna do it. We're gonna do it by having the

1100
01:03:31,880 --> 01:03:35,280
Speaker 1: wealthy pay their fair share and close the corporate loopholes.

1101
01:03:35,480 --> 01:03:38,960
Speaker 1: All right, wealthy, pay their fair share, invest get rid

1102
01:03:39,000 --> 01:03:42,720
Speaker 1: of corporate loop loopholes. What it means is basically Obama

1103
01:03:42,800 --> 01:03:46,480
Speaker 1: nomics two point oh maybe even on steroids. When we're

1104
01:03:46,520 --> 01:03:48,680
Speaker 1: when it's all said and done, I go back to

1105
01:03:48,720 --> 01:03:53,440
Speaker 1: my original theme here. There is something amazing that is

1106
01:03:53,480 --> 01:03:57,240
Speaker 1: happening in this country today. You have an elite class

1107
01:03:57,360 --> 01:04:00,360
Speaker 1: in Washington, Republicans, every single legs of Paul in the

1108
01:04:00,360 --> 01:04:05,200
Speaker 1: primary fuel betrayed by the Republican Party, by their own party.

1109
01:04:05,360 --> 01:04:09,120
Speaker 1: You have media, a class that have the best healthcare,

1110
01:04:09,320 --> 01:04:13,240
Speaker 1: just like the people in Washington. They are the finest steakhouses,

1111
01:04:13,320 --> 01:04:17,200
Speaker 1: They drink the finest wine, They smoked the most expensive zagas,

1112
01:04:17,560 --> 01:04:19,919
Speaker 1: and they have a life of riley. And they see

1113
01:04:19,920 --> 01:04:23,840
Speaker 1: this debate totally differently than Let's see Time Magazine, Trump

1114
01:04:24,080 --> 01:04:27,840
Speaker 1: fifty eight, forty two, Fortune Magazine, Trump fifty one, Clinton

1115
01:04:27,880 --> 01:04:31,800
Speaker 1: forty nine, New Jersey dot Com Trump fifty three, Clinton

1116
01:04:31,840 --> 01:04:37,400
Speaker 1: forty two, CNBC Trump sixty Clinton forty w c p O. Cincinnati.

1117
01:04:37,480 --> 01:04:39,680
Speaker 1: You want to test market something, you have to Cincinnati

1118
01:04:39,760 --> 01:04:44,520
Speaker 1: or San Diego, Trump sixty, Clinton thirty five, Variety, Trump

1119
01:04:44,520 --> 01:04:48,080
Speaker 1: fifty one, Clinton forty eight, Slate, Trump fifty four Clinton

1120
01:04:48,080 --> 01:04:52,240
Speaker 1: forty six, Nashville w k r N Trump sixty three,

1121
01:04:52,280 --> 01:04:55,640
Speaker 1: Clinton thirty seven, The Vegas Son Trump eighty one, Clinton

1122
01:04:55,720 --> 01:04:59,640
Speaker 1: nineteen Fox five, San Diego Trump sixty one, Clinton thirty four.

1123
01:04:59,720 --> 01:05:02,040
Speaker 1: If you go to San Diego and the San Diego trip,

1124
01:05:02,320 --> 01:05:05,880
Speaker 1: Trump sixty eight, Clinton thirty thirty two. You know, now, yeah,

1125
01:05:05,880 --> 01:05:09,680
Speaker 1: she did win a handful, But the chattering class is

1126
01:05:09,720 --> 01:05:13,440
Speaker 1: out of touch. Hillary Clinton is out of touch that

1127
01:05:13,520 --> 01:05:17,520
Speaker 1: we are judging this debate by a very old, outdated

1128
01:05:18,000 --> 01:05:24,040
Speaker 1: media inside the Beltway establishment class versus the real people

1129
01:05:24,080 --> 01:05:27,120
Speaker 1: of this country. The worst recovery since the forties, the

1130
01:05:27,160 --> 01:05:31,360
Speaker 1: lowest labor participation rates since the seventies, million Americans out

1131
01:05:31,360 --> 01:05:34,880
Speaker 1: of work, homeownership rate the lowest in fifty one years.

1132
01:05:34,920 --> 01:05:38,040
Speaker 1: Twelve million more Americans on food stamps, eight million more

1133
01:05:38,040 --> 01:05:41,080
Speaker 1: in poverty, one in five American households, not a single

1134
01:05:41,160 --> 01:05:44,800
Speaker 1: person working, one in six American men eighteen thirty four

1135
01:05:45,080 --> 01:05:48,040
Speaker 1: in jail or out of work. Black Americans fifty eight

1136
01:05:48,120 --> 01:05:52,040
Speaker 1: percent increase of them on food stamps, increased Black Americans

1137
01:05:52,280 --> 01:05:55,240
Speaker 1: out of the labor force. A president that accumulates more

1138
01:05:55,280 --> 01:05:58,320
Speaker 1: debt than every other president before him combined, just like

1139
01:05:58,480 --> 01:06:00,880
Speaker 1: you know, Trump, is bringing up this year alone in Chicago,

1140
01:06:01,120 --> 01:06:04,720
Speaker 1: three thousand people shots. Since he's been president, nearly four

1141
01:06:04,800 --> 01:06:08,160
Speaker 1: thousand people killed. We don't know the names of these people,

1142
01:06:08,320 --> 01:06:10,200
Speaker 1: and Hillary is saying it's all right anyway. Hearing on

1143
01:06:10,240 --> 01:06:12,680
Speaker 1: news round up, information overload. Then we'll go to your calls.

1144
01:06:12,880 --> 01:06:17,040
Speaker 1: Jessica tar Loves senior strategists at Shown Consulting and Ron Christie,

1145
01:06:17,080 --> 01:06:20,200
Speaker 1: former special assistant the President Bush And did you agree

1146
01:06:20,200 --> 01:06:23,200
Speaker 1: with me about this divide? Absolutely? Isn't that the isn't

1147
01:06:23,240 --> 01:06:27,280
Speaker 1: that the real shift in the American political paradigm that's

1148
01:06:27,320 --> 01:06:29,840
Speaker 1: happening before our eyes. Yeah, and what you said is

1149
01:06:29,840 --> 01:06:32,600
Speaker 1: exactly right, Sean. The elites in Washington and here New

1150
01:06:32,680 --> 01:06:35,040
Speaker 1: York City are looking at this debate through one lens

1151
01:06:35,040 --> 01:06:36,680
Speaker 1: in one prison. But if you go out and you

1152
01:06:36,720 --> 01:06:40,040
Speaker 1: talk to normal people, normal Americans who are struggling in

1153
01:06:40,040 --> 01:06:44,200
Speaker 1: this economy, haven't seen their wages rise, have seen explosions

1154
01:06:44,240 --> 01:06:46,840
Speaker 1: of crime all across the United States. Heck, we've had

1155
01:06:46,880 --> 01:06:49,680
Speaker 1: over five hundred people killed in Chicago this year alone,

1156
01:06:49,720 --> 01:06:51,520
Speaker 1: which is the worst it's been in twenty five years.

1157
01:06:51,640 --> 01:06:54,720
Speaker 1: And people say the Democrats are in charge of these cities.

1158
01:06:54,760 --> 01:06:57,760
Speaker 1: The Democrats are in the White House. This economy sucks.

1159
01:06:58,000 --> 01:07:00,480
Speaker 1: Things aren't getting better, it's getting worse. We need a change.

1160
01:07:00,600 --> 01:07:03,560
Speaker 1: And and look every Democrat comes running call on every

1161
01:07:03,600 --> 01:07:06,400
Speaker 1: four years. They want to energize the black vote. Hillary

1162
01:07:06,440 --> 01:07:08,440
Speaker 1: tried to play the race card last night. You know,

1163
01:07:08,520 --> 01:07:11,320
Speaker 1: I I guess what it comes down to, Jessica, is

1164
01:07:11,600 --> 01:07:15,240
Speaker 1: that either you believe in this old standard for debates,

1165
01:07:15,600 --> 01:07:21,200
Speaker 1: in other words, robotic prepared, written by somebody else, singers memorized,

1166
01:07:21,280 --> 01:07:26,360
Speaker 1: singers uh reciting uh, you know, old school lines. I mean,

1167
01:07:26,440 --> 01:07:29,360
Speaker 1: I felt like I was watching a robot last night

1168
01:07:29,400 --> 01:07:32,320
Speaker 1: with Hillary Clinton's She did a good job, but memorizing

1169
01:07:32,600 --> 01:07:35,360
Speaker 1: other people's words does not impress me, and it did

1170
01:07:35,360 --> 01:07:37,440
Speaker 1: not impress the American people. It might have been it

1171
01:07:37,560 --> 01:07:40,640
Speaker 1: might have impressed the chattering class, but all those people

1172
01:07:40,680 --> 01:07:43,800
Speaker 1: you watch on TV are being paid six figure salaries.

1173
01:07:43,840 --> 01:07:47,400
Speaker 1: At least met was so overpaid. They're they're eating at

1174
01:07:47,400 --> 01:07:50,720
Speaker 1: the finest restaurants, they have the best healthcare system, of

1175
01:07:51,000 --> 01:07:54,600
Speaker 1: healthcare coverage available. They just it's she's so out of touch,

1176
01:07:54,800 --> 01:07:57,680
Speaker 1: and there's such a divide here. I think that's where

1177
01:07:57,720 --> 01:08:00,320
Speaker 1: everybody is getting Donald Trump wrong. They got wrong in

1178
01:08:00,360 --> 01:08:02,280
Speaker 1: the primary, and I would argue that getting them wrong

1179
01:08:02,320 --> 01:08:04,360
Speaker 1: here too late. You know, I think that Hillary Clinton

1180
01:08:04,600 --> 01:08:10,160
Speaker 1: was less robotic than many expected her to be less robotic.

1181
01:08:10,200 --> 01:08:11,840
Speaker 1: All right, are you laughing about? I mean, you have

1182
01:08:11,840 --> 01:08:15,280
Speaker 1: a candidate who is smirking and saying it's smart to

1183
01:08:15,400 --> 01:08:19,600
Speaker 1: not pay taxes, and you know his ranting about birthism

1184
01:08:19,640 --> 01:08:22,439
Speaker 1: and his a rap vot. Well, you can bring up

1185
01:08:22,479 --> 01:08:26,000
Speaker 1: birthruism and you can bring up tax returns. I'd still

1186
01:08:26,000 --> 01:08:28,960
Speaker 1: like to see Hillary speeches myself that she got paid

1187
01:08:29,000 --> 01:08:31,280
Speaker 1: to join her fifty dollars for but not that she

1188
01:08:31,280 --> 01:08:33,120
Speaker 1: should release them as well. I mean, I think that's

1189
01:08:33,120 --> 01:08:35,960
Speaker 1: the perfect trade for his tax returns. For sure. We're

1190
01:08:35,960 --> 01:08:37,840
Speaker 1: not even sure he's actually why didn't we talk about

1191
01:08:37,920 --> 01:08:44,360
Speaker 1: vetting refugees Benghazi, her taking money from the Saudiast last night? Listen, John,

1192
01:08:44,360 --> 01:08:46,680
Speaker 1: You know I don't disagree with how you opened. You know,

1193
01:08:46,720 --> 01:08:49,400
Speaker 1: I was watching the debate and I'm thinking, yeah, this

1194
01:08:49,479 --> 01:08:53,520
Speaker 1: is fantastic, And then I'm reading my Twitter and Trump supporters,

1195
01:08:53,920 --> 01:08:56,400
Speaker 1: many of whom I'm friends with through the Fox World

1196
01:08:56,520 --> 01:08:58,920
Speaker 1: or a frenemies I guess, are saying, oh, he's doing

1197
01:08:59,000 --> 01:09:01,800
Speaker 1: so great. And I saw those snap hooles which were

1198
01:09:01,800 --> 01:09:04,679
Speaker 1: different you know, the focus groups were overwhelmingly for her,

1199
01:09:04,760 --> 01:09:08,000
Speaker 1: which was interesting with the independent voters. UM and Frank

1200
01:09:08,080 --> 01:09:10,000
Speaker 1: Lance has a lot of great tweets about it that

1201
01:09:10,000 --> 01:09:12,400
Speaker 1: people should go and look at. But the truth of

1202
01:09:12,439 --> 01:09:14,880
Speaker 1: the matter is Frank has been saying for a year

1203
01:09:14,960 --> 01:09:17,320
Speaker 1: he needs to justify his position that he thinks Hillary

1204
01:09:17,400 --> 01:09:19,720
Speaker 1: is gonna win. But that's a different issue. Person. Well.

1205
01:09:19,760 --> 01:09:22,360
Speaker 1: I mean, I haven't heard many Republicans turning on Frank Lance,

1206
01:09:22,400 --> 01:09:25,200
Speaker 1: but I guess there's a first for everything. UM. But listen,

1207
01:09:25,240 --> 01:09:28,000
Speaker 1: I don't think that Trump heard himself necessarily. I think

1208
01:09:28,040 --> 01:09:31,240
Speaker 1: that his strategy that he should and you should prepare more.

1209
01:09:31,720 --> 01:09:33,600
Speaker 1: You know, this is very serious. You're running to be

1210
01:09:33,640 --> 01:09:36,439
Speaker 1: president United States of America, and he's going to get

1211
01:09:36,479 --> 01:09:39,040
Speaker 1: follow up questions and he's going to be pushed. And

1212
01:09:39,120 --> 01:09:42,719
Speaker 1: the smirking looks bad, you know, and the stamina fight

1213
01:09:42,840 --> 01:09:44,800
Speaker 1: and those kinds of things I think rubbed people the

1214
01:09:44,840 --> 01:09:46,320
Speaker 1: wrong way. But all in all, I don't think he

1215
01:09:46,400 --> 01:09:49,879
Speaker 1: lost any support. I think that what she did is hopefully,

1216
01:09:50,080 --> 01:09:53,639
Speaker 1: you know, garnered some more enthusiasm so that Democrats turn

1217
01:09:53,760 --> 01:09:56,679
Speaker 1: out in November, because that's really the big obstacles she's

1218
01:09:56,720 --> 01:09:58,880
Speaker 1: up again. Do you think she reached that level last

1219
01:09:58,920 --> 01:10:01,320
Speaker 1: night because I didn't see I think that she did.

1220
01:10:01,360 --> 01:10:03,439
Speaker 1: I think that she started something. I think there was

1221
01:10:03,479 --> 01:10:07,000
Speaker 1: a distinct change. She looked healthy, she looked energized, and

1222
01:10:07,080 --> 01:10:09,759
Speaker 1: she was ready and prepared. So if you're voting based

1223
01:10:09,800 --> 01:10:14,479
Speaker 1: on temperament, qualification, preparedness, you're going for Hillary Clinton. If

1224
01:10:14,520 --> 01:10:16,439
Speaker 1: you want to change agents, and I guess you're going

1225
01:10:16,479 --> 01:10:18,320
Speaker 1: for Donald Trump in this election, or maybe you're going

1226
01:10:18,360 --> 01:10:20,680
Speaker 1: to vote for Gary Johnson. And I think that's the

1227
01:10:20,720 --> 01:10:23,400
Speaker 1: big anxiety that we could you know, lose five percent

1228
01:10:23,520 --> 01:10:26,439
Speaker 1: or more over the Gary Johnson, especially in the millennial vote.

1229
01:10:26,760 --> 01:10:28,360
Speaker 1: You know, it gets me, Jesse about what you just said.

1230
01:10:28,400 --> 01:10:31,280
Speaker 1: She came out, she looked energized, she looked healthy, but

1231
01:10:31,400 --> 01:10:33,320
Speaker 1: she didn't really have an agenda. She didn't have a

1232
01:10:33,400 --> 01:10:35,960
Speaker 1: raise on Dentra of why she's running to be president

1233
01:10:36,000 --> 01:10:38,840
Speaker 1: of United States other than it's my turn and oh,

1234
01:10:38,840 --> 01:10:41,320
Speaker 1: by the way, I'm entitled to it. If you say

1235
01:10:41,360 --> 01:10:43,439
Speaker 1: that Trump smirked and look, I've not been a great

1236
01:10:43,439 --> 01:10:45,920
Speaker 1: Trump supporter over the last over months, but she had

1237
01:10:45,960 --> 01:10:48,960
Speaker 1: the most insincere, fake smile on her face. She came

1238
01:10:49,000 --> 01:10:51,559
Speaker 1: across as a fraud and a phony, and I keep

1239
01:10:51,560 --> 01:10:53,240
Speaker 1: sitting here thinking, who in the heck is going to

1240
01:10:53,360 --> 01:10:55,200
Speaker 1: vote for this woman. I wouldn't trust this woman to

1241
01:10:55,280 --> 01:10:57,960
Speaker 1: walk the dog that I don't have. You trust Donald

1242
01:10:58,040 --> 01:11:00,120
Speaker 1: Trump Braman. That's what I don't understand. When then, and

1243
01:11:00,280 --> 01:11:02,360
Speaker 1: you know, I think it's going overboard, saying, oh, go

1244
01:11:02,439 --> 01:11:04,519
Speaker 1: to my website all his fact check lies or they

1245
01:11:04,560 --> 01:11:07,040
Speaker 1: are over and over again. I don't think that that resonates.

1246
01:11:07,080 --> 01:11:10,840
Speaker 1: But you know that Donald Trump lies all the time. Um,

1247
01:11:10,840 --> 01:11:12,880
Speaker 1: this is a woman who was who was running for

1248
01:11:12,920 --> 01:11:16,720
Speaker 1: the who lies all the time. Can we go over

1249
01:11:16,760 --> 01:11:19,880
Speaker 1: the facts of Libya? Can we go off on the

1250
01:11:20,000 --> 01:11:22,759
Speaker 1: facts of Libya? What is that about? A lie? Okay,

1251
01:11:23,080 --> 01:11:24,800
Speaker 1: I'll tell you what. I'll tell you what the lie

1252
01:11:24,920 --> 01:11:28,360
Speaker 1: is is that Hillary said to her daughter, the Libyan president,

1253
01:11:28,360 --> 01:11:31,160
Speaker 1: the Egyptian prime minister, was a terror attack. And she

1254
01:11:31,320 --> 01:11:36,160
Speaker 1: told we, we the little people, you know, we're told

1255
01:11:36,200 --> 01:11:39,200
Speaker 1: there was a YouTube video and a spontaneous demonstration and

1256
01:11:39,240 --> 01:11:43,400
Speaker 1: that the spontaneous demonstrators happen to have mortars and RPGs

1257
01:11:43,439 --> 01:11:46,240
Speaker 1: in their back pocket. And do you think that Hillary

1258
01:11:46,320 --> 01:11:50,960
Speaker 1: devised that plan? But she sat there I think, yes, yes,

1259
01:11:51,120 --> 01:11:53,840
Speaker 1: she lied. How could she say that to her daughter

1260
01:11:54,200 --> 01:11:55,880
Speaker 1: on the same night when she knew it was a

1261
01:11:55,960 --> 01:11:59,120
Speaker 1: terrorist attack, and then to stand above the coffins of

1262
01:11:59,120 --> 01:12:01,880
Speaker 1: the brave men who lost their lives in Benghazi, and

1263
01:12:01,920 --> 01:12:04,599
Speaker 1: she knew that she was lying her head off. That alone,

1264
01:12:04,640 --> 01:12:06,720
Speaker 1: to me says that she doesn't have the temperament to

1265
01:12:06,760 --> 01:12:08,599
Speaker 1: be the commander in chief and she's gonna lie about

1266
01:12:08,600 --> 01:12:11,439
Speaker 1: something like that to the parents of the fallen. And oh,

1267
01:12:11,520 --> 01:12:13,920
Speaker 1: by the way, how many times did they ask for

1268
01:12:14,080 --> 01:12:17,760
Speaker 1: increased security at the Benghazi consulate? Several times they were

1269
01:12:17,800 --> 01:12:20,640
Speaker 1: all denied. Oh, let's see. Did Hillary Clinton say that

1270
01:12:20,880 --> 01:12:23,720
Speaker 1: she thought the sea above the paragraph meant that it

1271
01:12:23,800 --> 01:12:28,679
Speaker 1: was denoting a different classification? She lied, Jesse. She went

1272
01:12:28,720 --> 01:12:31,800
Speaker 1: through the same training that I did. She sat through

1273
01:12:31,840 --> 01:12:35,360
Speaker 1: the same briefings that I did about classified information. And

1274
01:12:35,400 --> 01:12:37,559
Speaker 1: then for her to say, oh, well, she maybe I

1275
01:12:37,640 --> 01:12:40,639
Speaker 1: hit my head and I don't remember my security thing. No, sorry,

1276
01:12:40,960 --> 01:12:44,080
Speaker 1: that disqualifies her from being the president. She has no

1277
01:12:44,200 --> 01:12:47,760
Speaker 1: business having America's secrets, having America's trust, to be our

1278
01:12:47,760 --> 01:12:49,960
Speaker 1: commander in chief. And yes, as much as I've had

1279
01:12:50,000 --> 01:12:52,400
Speaker 1: my issues with Donald Trump, do I think he is

1280
01:12:52,439 --> 01:12:55,280
Speaker 1: as much of a liar as she? Is not a chance.

1281
01:12:55,920 --> 01:12:58,200
Speaker 1: That's so crazy to me. I mean, I I hear

1282
01:12:58,280 --> 01:13:01,160
Speaker 1: this a lot, obviously, and that it does matter, you know, obviously,

1283
01:13:01,320 --> 01:13:04,599
Speaker 1: you know everyone took them to this which issues are

1284
01:13:04,840 --> 01:13:07,400
Speaker 1: most important to them, and everyone has a right to that.

1285
01:13:07,560 --> 01:13:10,120
Speaker 1: But I mean, Donald, well, how is it they bring

1286
01:13:10,200 --> 01:13:13,200
Speaker 1: up how is it they bring up birth her ism?

1287
01:13:13,240 --> 01:13:15,759
Speaker 1: How is it that they bring up Donald Trump's taxes

1288
01:13:15,800 --> 01:13:17,559
Speaker 1: and waste all the time on that. But they don't

1289
01:13:17,560 --> 01:13:22,240
Speaker 1: talk about thirty three thousand purposefullly deleted emails. They didn't

1290
01:13:22,240 --> 01:13:24,920
Speaker 1: mention being hang on, They didn't talk about Benghazi, they

1291
01:13:24,920 --> 01:13:28,800
Speaker 1: didn't talk about vetting refugees, they didn't talk about immigration

1292
01:13:28,840 --> 01:13:31,479
Speaker 1: in the wall, they didn't talk about Supreme Court justices.

1293
01:13:31,840 --> 01:13:33,680
Speaker 1: How do you spend all your time if you got

1294
01:13:33,720 --> 01:13:37,080
Speaker 1: ninety minutes uninterrupted air time with the two candidates, you know,

1295
01:13:37,200 --> 01:13:40,000
Speaker 1: I'm just trying to Well, it's the first debate, and

1296
01:13:40,040 --> 01:13:42,680
Speaker 1: there were certainly more topics. Obviously they got missed, and

1297
01:13:42,720 --> 01:13:44,920
Speaker 1: there were things you know that I mean, Donald Trump

1298
01:13:45,000 --> 01:13:46,960
Speaker 1: did bring up the emails, they was short left the

1299
01:13:47,000 --> 01:13:49,679
Speaker 1: whole didn't continue it. But Matt Lower certainly took herd

1300
01:13:49,720 --> 01:13:51,880
Speaker 1: a task about the emails. When you guys were busy

1301
01:13:51,920 --> 01:13:54,719
Speaker 1: saying how fair Matt Lower was just a few weeks ago.

1302
01:13:54,960 --> 01:13:57,160
Speaker 1: So you know, there's back and forth. Or Donald Trump

1303
01:13:57,160 --> 01:13:59,280
Speaker 1: got pushed back on I think it was five times

1304
01:13:59,320 --> 01:14:02,080
Speaker 1: by last or um. But he said right afterwards that

1305
01:14:02,120 --> 01:14:04,519
Speaker 1: he thought that Wholt was very fair. Actually that's what

1306
01:14:04,520 --> 01:14:06,320
Speaker 1: he said in the spinnerroom before he starts saying that

1307
01:14:06,400 --> 01:14:09,400
Speaker 1: his mic had failed. By the way, there was there

1308
01:14:09,479 --> 01:14:12,599
Speaker 1: was a mic issue. I did. We did see there

1309
01:14:12,640 --> 01:14:14,880
Speaker 1: was a mic issue. But putting putting all of that

1310
01:14:14,920 --> 01:14:17,880
Speaker 1: aside here, I guess what you know. What you haven't answered, though,

1311
01:14:18,280 --> 01:14:21,439
Speaker 1: is all of these people polls that are that literally

1312
01:14:21,479 --> 01:14:25,720
Speaker 1: represent millions. See an end poll that over samples Democrats

1313
01:14:26,080 --> 01:14:29,200
Speaker 1: is highlighted. But we're talking about five people or focus

1314
01:14:29,280 --> 01:14:32,920
Speaker 1: group that you mentioned of seventeen people and or twenty people.

1315
01:14:32,960 --> 01:14:36,840
Speaker 1: And I'm thinking, I'm thinking, now, why why is there

1316
01:14:36,920 --> 01:14:39,120
Speaker 1: this divide? And I think you're missing the point is

1317
01:14:39,160 --> 01:14:42,240
Speaker 1: I think most people understand all those economic statistics, the

1318
01:14:42,280 --> 01:14:45,040
Speaker 1: economic reality, the economic truth of what me and Ron

1319
01:14:45,080 --> 01:14:47,599
Speaker 1: are arguing here, and they're living it. And all these

1320
01:14:47,600 --> 01:14:50,479
Speaker 1: elites are judging this debate by a standard that no

1321
01:14:50,560 --> 01:14:54,879
Speaker 1: longer exists in this country. As evidence by the Republican primary,

1322
01:14:54,920 --> 01:14:56,840
Speaker 1: and I would argue, and I may be proven wrong,

1323
01:14:56,880 --> 01:14:59,320
Speaker 1: that we're seeing the same phenomenon here. And this is

1324
01:14:59,360 --> 01:15:01,439
Speaker 1: why I actually think Trump is gonna win. I think

1325
01:15:01,439 --> 01:15:03,280
Speaker 1: that most people, when they go to work and they're

1326
01:15:03,280 --> 01:15:05,200
Speaker 1: sitting around the water cooler and they're saying, who're gonna

1327
01:15:05,240 --> 01:15:06,840
Speaker 1: vote for, they say they're going to vote for Trump,

1328
01:15:06,840 --> 01:15:10,160
Speaker 1: They're gonna hear this sneering condescension of oh, you're a

1329
01:15:10,200 --> 01:15:12,040
Speaker 1: big at, you're a racist, you're this, and people are

1330
01:15:12,080 --> 01:15:13,280
Speaker 1: gonna say, you know, what the hell with it. But

1331
01:15:13,280 --> 01:15:15,080
Speaker 1: when they walk in that voting booth in November, I

1332
01:15:15,080 --> 01:15:16,880
Speaker 1: think they're pulling the lever for Trump. This goes for

1333
01:15:16,920 --> 01:15:19,479
Speaker 1: people of color, this goes for working class folks, this

1334
01:15:19,520 --> 01:15:22,280
Speaker 1: goes for across the board shown I believe he's gonna

1335
01:15:22,320 --> 01:15:24,760
Speaker 1: win a lot more handily than people given credit for it.

1336
01:15:25,160 --> 01:15:27,280
Speaker 1: If you want to elect a robot who's good at

1337
01:15:27,320 --> 01:15:30,519
Speaker 1: memorizing her lines and spent day, you know, she spent

1338
01:15:30,600 --> 01:15:34,360
Speaker 1: nineteen days not doing a town hall, nineteen days in

1339
01:15:34,400 --> 01:15:36,479
Speaker 1: August not doing a town hall. So I guess if

1340
01:15:36,479 --> 01:15:39,760
Speaker 1: you want a robot whose qualification is she can memorize

1341
01:15:39,760 --> 01:15:42,120
Speaker 1: other people's written lines. Do you Hilary is your girl,

1342
01:15:42,360 --> 01:15:45,120
Speaker 1: She's your gal? I guess so that's what I want,

1343
01:15:45,160 --> 01:15:47,639
Speaker 1: and I'm perfectly happy with it. Listen, I think that

1344
01:15:48,200 --> 01:15:51,000
Speaker 1: we may be obviously underestimating the Trump vote. I don't

1345
01:15:51,000 --> 01:15:54,000
Speaker 1: think it's quite the Nicksonian silent majority that his team

1346
01:15:54,080 --> 01:15:55,840
Speaker 1: is hoping for um. But I think that there are

1347
01:15:55,880 --> 01:15:57,519
Speaker 1: people who are embarrassed to say it. I mean, I

1348
01:15:57,560 --> 01:15:59,160
Speaker 1: certainly if I was sitting down at the table of

1349
01:15:59,200 --> 01:16:00,920
Speaker 1: friends and I was like, I'm going to vote for Trump,

1350
01:16:00,960 --> 01:16:03,200
Speaker 1: I would be like, what is wrong? But you're making

1351
01:16:03,240 --> 01:16:06,320
Speaker 1: my point. That's my point. You're you're a media elitist

1352
01:16:06,360 --> 01:16:08,960
Speaker 1: like the rest of them. That's my point, by the way,

1353
01:16:09,080 --> 01:16:12,919
Speaker 1: And Jessica, Jessica, I don't get invited to those parties.

1354
01:16:13,000 --> 01:16:16,599
Speaker 1: And I've been in the media for thirty years. One, Hey,

1355
01:16:16,640 --> 01:16:19,080
Speaker 1: what about me. I don't have to get I'll have

1356
01:16:19,160 --> 01:16:21,200
Speaker 1: to get permission for that plus one thing. But we'll

1357
01:16:21,200 --> 01:16:22,920
Speaker 1: try it out. All right, guys, good to see you both.

1358
01:16:23,080 --> 01:16:24,519
Speaker 1: All right, let me get back. We'll get your take

1359
01:16:24,520 --> 01:16:27,720
Speaker 1: on this one. Shawn are told free telephone number. Let's

1360
01:16:27,720 --> 01:16:29,639
Speaker 1: go to the phones. I've had a lot of time

1361
01:16:29,680 --> 01:16:31,840
Speaker 1: to give you my take of last night's debate. We'll

1362
01:16:31,880 --> 01:16:35,599
Speaker 1: go to Matt is in Boston Lake in New York

1363
01:16:35,840 --> 01:16:38,160
Speaker 1: next on the Sean Hannity Show. Matt, how are you

1364
01:16:38,200 --> 01:16:41,639
Speaker 1: glad you called? Sir? Good good, Thank you for taking

1365
01:16:41,640 --> 01:16:45,120
Speaker 1: my call. It's uh, very strange what happened yesterday with

1366
01:16:45,240 --> 01:16:49,880
Speaker 1: gwenn Beck when Ted Cruz laid out his planned there

1367
01:16:49,880 --> 01:16:53,320
Speaker 1: for endorsing Trump with especially with Mike Lee coming to

1368
01:16:53,360 --> 01:16:56,439
Speaker 1: the top of the list on the Supreme Court justice

1369
01:16:56,840 --> 01:17:00,160
Speaker 1: So just on that alone, if you're if you're more

1370
01:17:00,200 --> 01:17:04,280
Speaker 1: than anybody else, like Cruz said, it's a binary choice

1371
01:17:04,400 --> 01:17:09,960
Speaker 1: right now and just with the Supreme Court justices. I

1372
01:17:10,400 --> 01:17:13,280
Speaker 1: read the entire statement of Ted Cruz on the air

1373
01:17:13,400 --> 01:17:15,000
Speaker 1: the day that he made it because I thought it

1374
01:17:15,080 --> 01:17:19,000
Speaker 1: was such a powerful commentary on the on where we

1375
01:17:19,080 --> 01:17:21,880
Speaker 1: are with this election and by the way, of all

1376
01:17:21,920 --> 01:17:24,519
Speaker 1: the people that I think have a right. It ran

1377
01:17:24,560 --> 01:17:26,920
Speaker 1: in a Republican primary to be piste off at Trump.

1378
01:17:27,000 --> 01:17:30,680
Speaker 1: It's Ted Cruz and fairness and fairness to Ted. It

1379
01:17:30,800 --> 01:17:33,479
Speaker 1: got pretty personal between the two of them, and it

1380
01:17:33,560 --> 01:17:36,200
Speaker 1: was what it was, and you know, but you know,

1381
01:17:36,280 --> 01:17:38,880
Speaker 1: but Ted's analysis of last night I think also was

1382
01:17:38,880 --> 01:17:42,280
Speaker 1: pretty good. He He said the entire debate from Hillary

1383
01:17:42,479 --> 01:17:45,479
Speaker 1: was more washing than as usual, and every proposal that

1384
01:17:45,560 --> 01:17:48,679
Speaker 1: she advanced was another big government solution that's not working,

1385
01:17:48,720 --> 01:17:51,519
Speaker 1: that's failing. And he said, I think Donald had the

1386
01:17:51,520 --> 01:17:54,960
Speaker 1: strongest debate performance he's had in this cycle. I think

1387
01:17:54,960 --> 01:17:57,120
Speaker 1: he really went after which was a good thing. And

1388
01:17:57,120 --> 01:18:00,200
Speaker 1: I think he drew a strong contrast, particularly on tax is,

1389
01:18:00,520 --> 01:18:04,160
Speaker 1: on regulation, law and order, and the disastrous or any deal.

1390
01:18:04,680 --> 01:18:07,000
Speaker 1: And he's right on if you're gonna deal with substance,

1391
01:18:07,400 --> 01:18:12,439
Speaker 1: Trump wont on substance. Hillary one on robotic memorization. Yeah,

1392
01:18:12,520 --> 01:18:15,280
Speaker 1: she showed, she showed her true Marxist himself. That was

1393
01:18:15,479 --> 01:18:18,320
Speaker 1: the mask was definitely off right. And then that and

1394
01:18:18,360 --> 01:18:22,000
Speaker 1: that's what's missing. This is Look, you know, I guess

1395
01:18:22,000 --> 01:18:23,720
Speaker 1: I'm just at this point in my career, I just

1396
01:18:23,760 --> 01:18:27,840
Speaker 1: don't care anymore. I am telling you that there are

1397
01:18:27,960 --> 01:18:31,519
Speaker 1: so many in my business, in my industry, just like

1398
01:18:31,600 --> 01:18:35,080
Speaker 1: all of those guys in Washington. They they have the

1399
01:18:35,120 --> 01:18:38,880
Speaker 1: best health plans, they're all overpaid. They all have six

1400
01:18:38,920 --> 01:18:43,559
Speaker 1: figure salaries that at least they all have chauffeurs taking

1401
01:18:43,600 --> 01:18:45,920
Speaker 1: him to work every day and taking them home every day.

1402
01:18:45,960 --> 01:18:49,640
Speaker 1: In New York, they all have all of the cruchiment.

1403
01:18:50,320 --> 01:18:53,360
Speaker 1: They all have all of them. What's the word I'm

1404
01:18:53,400 --> 01:18:57,360
Speaker 1: looking for here? All of the benefits, if you will,

1405
01:18:58,640 --> 01:19:03,479
Speaker 1: of of living a good lifestyle. And they've lost touch

1406
01:19:04,400 --> 01:19:08,160
Speaker 1: in a major way with we the people. Now, I

1407
01:19:08,160 --> 01:19:09,799
Speaker 1: guess you can put me in that group with Hannay.

1408
01:19:09,800 --> 01:19:12,080
Speaker 1: You're paid well on Hannity. You you know you have

1409
01:19:12,360 --> 01:19:14,959
Speaker 1: you have a good health plan, and and that's all true.

1410
01:19:15,479 --> 01:19:19,439
Speaker 1: It's all true. But I'll be perfectly honest, I have

1411
01:19:19,560 --> 01:19:22,320
Speaker 1: not forgotten the twenty years, the two decades of my

1412
01:19:22,360 --> 01:19:27,360
Speaker 1: life doing real work. Yeah. Hillary hasn't forgotten those speeches

1413
01:19:27,360 --> 01:19:30,720
Speaker 1: on Wall Streets. Yeah, I mean that's another player. That's

1414
01:19:30,720 --> 01:19:34,200
Speaker 1: a that's a perfect point. She and she obviously wanted

1415
01:19:34,280 --> 01:19:36,880
Speaker 1: money more from the soundies than she wanted to stand

1416
01:19:36,920 --> 01:19:40,920
Speaker 1: for women's rights or gay lesbian rights. Yeah, but how

1417
01:19:40,960 --> 01:19:45,519
Speaker 1: does she talk about profit sharing with businesses? To one

1418
01:19:45,560 --> 01:19:47,360
Speaker 1: side of her mouth and the other side of her mouth,

1419
01:19:47,400 --> 01:19:50,640
Speaker 1: she she did these Wall Street speeches? What what? What

1420
01:19:50,720 --> 01:19:55,559
Speaker 1: did most contained? She's looking for Trump's taxes? Taxes? What what? What? Not?

1421
01:19:55,680 --> 01:19:58,760
Speaker 1: Showing some of those speeches. You'll never see those speeches

1422
01:19:58,880 --> 01:20:02,760
Speaker 1: and Wall Street that has them are protecting her by

1423
01:20:02,800 --> 01:20:08,439
Speaker 1: not releasing the speeches. They're protecting bottom. Yeah, all right,

1424
01:20:08,479 --> 01:20:11,720
Speaker 1: well listen, I I appreciate uh your call. Thanks for

1425
01:20:11,800 --> 01:20:14,720
Speaker 1: being with us one, Shawn, if you want to be

1426
01:20:15,000 --> 01:20:17,880
Speaker 1: a part of the program. All right, let's get back

1427
01:20:17,920 --> 01:20:22,200
Speaker 1: to our phones. Bianca's next Palm Beach Gardens, Florida. Uh,

1428
01:20:22,479 --> 01:20:26,639
Speaker 1: Southeastern Florida. What's going on? How are you? Bianca? Hi? Fine? Thanks,

1429
01:20:26,680 --> 01:20:29,519
Speaker 1: thanks for taking my call. Um. I'd like to make

1430
01:20:29,560 --> 01:20:35,120
Speaker 1: a comment on what's trending on Twitter about Hillary shoulder shimmy.

1431
01:20:35,960 --> 01:20:39,240
Speaker 1: I looked at that over and over again. I don't

1432
01:20:39,280 --> 01:20:41,360
Speaker 1: think that was a shoulder shimmy. I think it was

1433
01:20:41,439 --> 01:20:44,800
Speaker 1: a mini seizure. Her head bobbled a little bit, and

1434
01:20:44,920 --> 01:20:47,800
Speaker 1: then at the end she did a little blow, like

1435
01:20:47,960 --> 01:20:52,479
Speaker 1: a sigh of relief. Look at the tape, I'm telling you,

1436
01:20:53,040 --> 01:20:55,840
Speaker 1: And she did it once before. We've seen it. There's

1437
01:20:55,880 --> 01:20:57,920
Speaker 1: a tape where she's got a bunch of people around

1438
01:20:58,000 --> 01:21:00,519
Speaker 1: her and her head bobbles back in fourth but she

1439
01:21:00,640 --> 01:21:04,040
Speaker 1: acts like she's laughing. She's gotten good at covering up.

1440
01:21:04,479 --> 01:21:06,400
Speaker 1: I think she had a mini seizure right there on

1441
01:21:06,520 --> 01:21:10,160
Speaker 1: national television. Uh. Look that said, I didn't see that

1442
01:21:10,640 --> 01:21:13,240
Speaker 1: but you know, look, I do think her health issues

1443
01:21:13,280 --> 01:21:16,719
Speaker 1: are severe. The only thing I really noticed, and I honestly,

1444
01:21:16,760 --> 01:21:19,280
Speaker 1: I was just trying to listen more than watch. I

1445
01:21:19,400 --> 01:21:21,760
Speaker 1: watched more closely in the beginning of the debate that

1446
01:21:21,880 --> 01:21:24,759
Speaker 1: this there was something I thought odd with her blinking,

1447
01:21:25,479 --> 01:21:28,559
Speaker 1: but I didn't think it was that severe, that really

1448
01:21:28,680 --> 01:21:31,400
Speaker 1: worthy of that much commentary. Just off to me. And

1449
01:21:31,960 --> 01:21:34,000
Speaker 1: if I had to guess, and I'm not a professional,

1450
01:21:34,080 --> 01:21:36,479
Speaker 1: she's on an awful lot of meds up there, and

1451
01:21:37,320 --> 01:21:40,479
Speaker 1: and I guess they, to our doctor's credit, they got

1452
01:21:40,520 --> 01:21:43,960
Speaker 1: her through it, right. But she was also she was smiling,

1453
01:21:44,080 --> 01:21:46,320
Speaker 1: she was laughing. She was laughing quite a bit. And

1454
01:21:46,400 --> 01:21:48,840
Speaker 1: I thought to myself, you know, I'm sorry, but the

1455
01:21:48,960 --> 01:21:53,600
Speaker 1: state of the nation with isis unemployment, so many Americans

1456
01:21:53,640 --> 01:21:57,439
Speaker 1: on welfare and on and on it goes. America is

1457
01:21:57,560 --> 01:21:59,800
Speaker 1: not a laughing matter. And it was almost like it

1458
01:21:59,880 --> 01:22:04,360
Speaker 1: was a choke, and I was offended. Yeah, no, look,

1459
01:22:04,400 --> 01:22:08,360
Speaker 1: I understand your passion. I do. I really don't. Um.

1460
01:22:08,479 --> 01:22:11,240
Speaker 1: All right, let's get back to our phones. Let's say

1461
01:22:11,800 --> 01:22:14,840
Speaker 1: hi to Don and Akron Ohio. Hey Don, how are you?

1462
01:22:15,040 --> 01:22:18,400
Speaker 1: And we're glad you called, sir? How are you? I'm good.

1463
01:22:18,479 --> 01:22:20,880
Speaker 1: What's going on? Good? Good? I just won the way

1464
01:22:20,920 --> 01:22:24,080
Speaker 1: in on last night's debate. Um. And the thing I

1465
01:22:24,240 --> 01:22:27,639
Speaker 1: think Trump did was he struck inadvertent gold potentially when

1466
01:22:27,760 --> 01:22:30,360
Speaker 1: he put out the challenge with her tat with his

1467
01:22:30,479 --> 01:22:33,400
Speaker 1: taxes versus her release in the emails. And now I'll

1468
01:22:33,400 --> 01:22:36,280
Speaker 1: tell you why, because his taxes are a big unknown.

1469
01:22:36,320 --> 01:22:40,120
Speaker 1: He could pain himself as the biggest shyster he could.

1470
01:22:40,320 --> 01:22:46,080
Speaker 1: You know that last loophole taken advantage of uh anything

1471
01:22:46,160 --> 01:22:49,679
Speaker 1: like that and the worst possible. But Sean, it doesn't

1472
01:22:49,760 --> 01:22:54,479
Speaker 1: compare to her putting the nation to take a play

1473
01:22:54,520 --> 01:22:57,040
Speaker 1: out of the Democratic playbook. You play on the feelings

1474
01:22:57,080 --> 01:23:00,920
Speaker 1: to our children, our grandchildren's safety with her emails and

1475
01:23:01,040 --> 01:23:03,280
Speaker 1: with what she put out there. So so once you

1476
01:23:03,920 --> 01:23:05,680
Speaker 1: that will put an end to number one out for

1477
01:23:05,720 --> 01:23:08,200
Speaker 1: an end of his text question. And number two it

1478
01:23:08,200 --> 01:23:11,479
Speaker 1: will put the bulls I right back on her with

1479
01:23:11,880 --> 01:23:15,639
Speaker 1: this email because it should not and it will not die. Listen.

1480
01:23:15,720 --> 01:23:18,599
Speaker 1: I think that's just the tip of the iceberg when

1481
01:23:18,640 --> 01:23:21,160
Speaker 1: it comes to stuff that he can bring up about her.

1482
01:23:21,200 --> 01:23:24,840
Speaker 1: And I'm sure it's gonna come back. Okay, absolutely, thank you, Donna.

1483
01:23:24,880 --> 01:23:27,040
Speaker 1: It's gonna come back up. She's there's so much material

1484
01:23:27,120 --> 01:23:32,759
Speaker 1: out there. I mean, no emails, lies, Benghazi, vetting, no Wall,

1485
01:23:33,280 --> 01:23:36,559
Speaker 1: Supreme Court, you know, Saudi Arabia. She's got a lot

1486
01:23:36,640 --> 01:23:39,160
Speaker 1: of explaining to do, if you will, all right, Timmy

1487
01:23:39,280 --> 01:23:41,680
Speaker 1: is in Indiana. Timmy, Hi, how are you? You are

1488
01:23:41,720 --> 01:23:44,599
Speaker 1: on the Sean Hannity Show. What's going on? Hi? How

1489
01:23:44,640 --> 01:23:47,720
Speaker 1: are you? Um? I was I enjoyed the debate last night.

1490
01:23:47,760 --> 01:23:49,560
Speaker 1: I watched it and I was, I was, you know,

1491
01:23:49,640 --> 01:23:52,280
Speaker 1: I thought she looked scripted and she was looking at no.

1492
01:23:52,400 --> 01:23:54,080
Speaker 1: It's God only knows if he had something in her

1493
01:23:54,160 --> 01:23:57,559
Speaker 1: ear telling her what to say. But I I wanted

1494
01:23:57,560 --> 01:24:01,920
Speaker 1: to comment on comment she a one of her lies

1495
01:24:02,040 --> 01:24:05,679
Speaker 1: that she busted out with about this architect that didn't

1496
01:24:05,720 --> 01:24:08,479
Speaker 1: get paid for some job or whatever. You know, that's

1497
01:24:08,479 --> 01:24:12,639
Speaker 1: a that's a crocobs. Um. I have a personal friend

1498
01:24:13,479 --> 01:24:16,479
Speaker 1: who works in the in the construction business, who you know,

1499
01:24:16,600 --> 01:24:19,919
Speaker 1: knows that this this problem that happened. The guy screwed

1500
01:24:20,000 --> 01:24:23,080
Speaker 1: the job up. It had to be redone. He had

1501
01:24:23,120 --> 01:24:25,599
Speaker 1: to pay somebody else to redo what this guy did.

1502
01:24:25,960 --> 01:24:28,960
Speaker 1: He was paid for, you know, for part of the stuff.

1503
01:24:29,000 --> 01:24:32,360
Speaker 1: You know, he was paid for purchasing or whatever, you know,

1504
01:24:32,520 --> 01:24:34,800
Speaker 1: supplies and stuff, but but for the job. You know,

1505
01:24:35,160 --> 01:24:37,200
Speaker 1: if someone does the job for you and you want

1506
01:24:37,240 --> 01:24:38,960
Speaker 1: have done the way you want it done. You know

1507
01:24:39,400 --> 01:24:41,640
Speaker 1: Donald and Donald's a fair person. People don't know this

1508
01:24:41,760 --> 01:24:44,240
Speaker 1: about the guy, but he's a very fair person with people.

1509
01:24:44,479 --> 01:24:47,200
Speaker 1: The people who worked for him, they get paid, they

1510
01:24:47,280 --> 01:24:50,000
Speaker 1: do a good job, they stay with the company or

1511
01:24:50,240 --> 01:24:53,200
Speaker 1: with his contractors or whatever. They all get taken care of.

1512
01:24:53,280 --> 01:24:55,439
Speaker 1: You can ask anybody that works for him. She scrapped

1513
01:24:55,439 --> 01:24:57,599
Speaker 1: me a strong Sure, there's gonna be one person that's

1514
01:24:57,640 --> 01:25:00,400
Speaker 1: to scrumble that that's doesn't work for the guy. You know,

1515
01:25:00,520 --> 01:25:03,400
Speaker 1: he's a hard nut to crack. Donald Trump doesn't take

1516
01:25:03,439 --> 01:25:05,960
Speaker 1: crap off people. He wants his job done right. He's

1517
01:25:05,960 --> 01:25:07,800
Speaker 1: saying they haven't done. He wants it done the way

1518
01:25:07,840 --> 01:25:10,160
Speaker 1: he wants it done. You know, you know, Hiller, he

1519
01:25:10,200 --> 01:25:12,680
Speaker 1: gets on my nerves with this stuff. She dragged stuff up.

1520
01:25:12,720 --> 01:25:14,880
Speaker 1: I think Donald should have hit her harder than he did.

1521
01:25:15,000 --> 01:25:17,240
Speaker 1: But you know, I think you did a good job.

1522
01:25:17,320 --> 01:25:19,920
Speaker 1: I don't care what you know. I'm telling you. There's

1523
01:25:20,120 --> 01:25:25,920
Speaker 1: there's this divide. How you see this debate is fascinating

1524
01:25:26,000 --> 01:25:28,800
Speaker 1: to me. And the way the media sees it. The

1525
01:25:28,880 --> 01:25:33,280
Speaker 1: way the punitentary class sees it is so different from

1526
01:25:33,320 --> 01:25:35,840
Speaker 1: the way the people of this country. You're seeing it,

1527
01:25:35,960 --> 01:25:38,360
Speaker 1: and it is playing itself out again, just like it

1528
01:25:38,479 --> 01:25:41,800
Speaker 1: did in the Republican primary, and I think that they're

1529
01:25:41,840 --> 01:25:46,640
Speaker 1: not understanding how bad things are for real Americans. And

1530
01:25:46,920 --> 01:25:49,640
Speaker 1: that is fundamentally I think what's gonna drive people to

1531
01:25:49,680 --> 01:25:52,000
Speaker 1: the polls? Now? Well, no more than forty two days.

1532
01:25:52,080 --> 01:25:54,880
Speaker 1: I'm not making I'm not in the prediction business. I'm

1533
01:25:54,880 --> 01:25:57,360
Speaker 1: not gonna believe Donald Trump's the president until I hear

1534
01:25:57,439 --> 01:26:01,800
Speaker 1: Fox News projects. I not gonna, you know, believe that

1535
01:26:01,960 --> 01:26:04,200
Speaker 1: Hillary can't win. I think she can. I think these

1536
01:26:04,240 --> 01:26:07,240
Speaker 1: polls are too closed for my comfort level. I think

1537
01:26:07,280 --> 01:26:10,479
Speaker 1: this is a very divided country in a very tight election.

1538
01:26:11,360 --> 01:26:14,800
Speaker 1: And I'm only saying here is that if America wants

1539
01:26:14,840 --> 01:26:17,400
Speaker 1: more of the same, they'll get it with Hillary. If

1540
01:26:17,439 --> 01:26:19,880
Speaker 1: they want to double down on stupid and double down

1541
01:26:19,920 --> 01:26:23,519
Speaker 1: on Obama and worse, they're gonna get what they deserve.

1542
01:26:23,680 --> 01:26:27,200
Speaker 1: You get the government you deserve. And I just, you know,

1543
01:26:27,280 --> 01:26:28,720
Speaker 1: the only thing I would say to people is I

1544
01:26:28,840 --> 01:26:32,760
Speaker 1: tried to warn you about Obama. Unfortunately I was right.

1545
01:26:33,439 --> 01:26:36,760
Speaker 1: I'm trying now to warn people about Hillary. I know

1546
01:26:37,880 --> 01:26:41,439
Speaker 1: with every fiber of my being that I'm right. I

1547
01:26:41,600 --> 01:26:44,559
Speaker 1: know this is not gonna end well. You know, when

1548
01:26:44,560 --> 01:26:48,479
Speaker 1: I say America and Scott Shannon says America live or die,

1549
01:26:49,600 --> 01:26:52,880
Speaker 1: we now run the risk of another great republic collapsing

1550
01:26:53,760 --> 01:26:57,000
Speaker 1: at the end of the day, the America. If Hillary

1551
01:26:57,120 --> 01:27:00,960
Speaker 1: gets the unvetted refugees, Hillary gets the ridge, not the wall.

1552
01:27:01,560 --> 01:27:04,280
Speaker 1: If Hillary gets all the big spending in the child

1553
01:27:04,400 --> 01:27:08,439
Speaker 1: care and daycare and free college and everything free, free, free,

1554
01:27:08,520 --> 01:27:10,800
Speaker 1: and we're gonna take from the rich, and we're gonna

1555
01:27:11,400 --> 01:27:14,000
Speaker 1: take away all incentive for business to be in business,

1556
01:27:14,920 --> 01:27:17,920
Speaker 1: then we are going to be a poor nation with

1557
01:27:18,120 --> 01:27:23,640
Speaker 1: less opportunity, less, less, less chances for our kids, and

1558
01:27:23,840 --> 01:27:28,960
Speaker 1: record debt that will ultimately lead to a collapse, a catastrophe.

1559
01:27:29,720 --> 01:27:33,040
Speaker 1: It can happen, It's happened before, and it will happen again.

1560
01:27:33,960 --> 01:27:36,000
Speaker 1: And the only thing at that point, I'm just gonna

1561
01:27:36,040 --> 01:27:40,479
Speaker 1: try and warn the people that agree with me and

1562
01:27:40,640 --> 01:27:43,000
Speaker 1: people that want to listen to this program how to

1563
01:27:43,120 --> 01:27:47,240
Speaker 1: defend yourself, protect yourself for what is ultimately coming. You know,

1564
01:27:47,560 --> 01:27:49,760
Speaker 1: one point that really didn't get any play last night

1565
01:27:49,840 --> 01:27:53,640
Speaker 1: is is Trump's point about the debt. This guy's accumulated

1566
01:27:53,680 --> 01:27:56,680
Speaker 1: more debt than every other president before him combined. You've

1567
01:27:56,720 --> 01:28:02,439
Speaker 1: got they fed playing politics with their quantitative easing, interest

1568
01:28:02,560 --> 01:28:07,000
Speaker 1: rates artificially low. So we have twenty trillion, dead trillion

1569
01:28:07,240 --> 01:28:10,439
Speaker 1: unfunded liabilities. Now you raise the interest rates to eight percent,

1570
01:28:10,560 --> 01:28:13,800
Speaker 1: you double it. It's now hit a number we can't

1571
01:28:14,000 --> 01:28:17,679
Speaker 1: possibly pay back. And that's a problem because you're talking

1572
01:28:17,760 --> 01:28:20,760
Speaker 1: usually about adjustable rates. All right, So you know, look,

1573
01:28:20,840 --> 01:28:23,840
Speaker 1: I I borrow money for different business projects that I'm involved.

1574
01:28:23,880 --> 01:28:27,040
Speaker 1: Did you ever do that? Okay, so you know, do

1575
01:28:27,120 --> 01:28:31,559
Speaker 1: you lock in your four percent now fixed rate? Let's

1576
01:28:31,560 --> 01:28:33,240
Speaker 1: say you have a home mortgage. Do you lock it

1577
01:28:33,360 --> 01:28:37,080
Speaker 1: in or do you get an adjustable rate that can

1578
01:28:37,160 --> 01:28:39,920
Speaker 1: only go up to x per cent? What happens if

1579
01:28:40,000 --> 01:28:41,960
Speaker 1: interest rates go up to the level they really should

1580
01:28:42,000 --> 01:28:44,720
Speaker 1: be at, because right now, any money you're borrowing is

1581
01:28:44,800 --> 01:28:47,920
Speaker 1: free money. For the most part, four percent is like

1582
01:28:48,120 --> 01:28:52,719
Speaker 1: free money. So you know, at some point we're gonna

1583
01:28:52,760 --> 01:28:56,000
Speaker 1: pay the piper. At some point, the bubble is gonna

1584
01:28:56,160 --> 01:28:59,960
Speaker 1: and has to burst. And when it does, look Hillary,

1585
01:29:00,080 --> 01:29:02,840
Speaker 1: she'll just get more speeches and she'll make money. Donald

1586
01:29:02,840 --> 01:29:06,920
Speaker 1: Trump's not gonna go bankrupt. If the bubble collapses, as

1587
01:29:06,960 --> 01:29:09,160
Speaker 1: he said last night, he'll just go in and buy

1588
01:29:09,280 --> 01:29:14,280
Speaker 1: because government has created yet another opportunity for for people

1589
01:29:14,320 --> 01:29:17,160
Speaker 1: that have money to make more money. It's not his

1590
01:29:17,280 --> 01:29:20,920
Speaker 1: fault they're stupid. It's not his fault they're incompetent. He's

1591
01:29:20,920 --> 01:29:23,599
Speaker 1: trying to fix it. And there's probably between the money

1592
01:29:23,640 --> 01:29:26,000
Speaker 1: he spends on the campaign an opportunity costs that he

1593
01:29:26,040 --> 01:29:29,000
Speaker 1: could have been making money. You know, he's losing a fortune.

1594
01:29:29,680 --> 01:29:31,920
Speaker 1: All right, Back to our phones. Uh, let's say hi

1595
01:29:32,000 --> 01:29:37,280
Speaker 1: to Teresa Champagne, Illinois next on the Sean Hannity Show. Hi, Hi, Sean,

1596
01:29:37,360 --> 01:29:40,280
Speaker 1: thank you very much for taking my phone call today. Yes, man,

1597
01:29:40,360 --> 01:29:41,920
Speaker 1: we have it less than a minute, but it's all yours.

1598
01:29:41,960 --> 01:29:45,080
Speaker 1: Go ahead, Okay. I am very happy with how the

1599
01:29:45,160 --> 01:29:48,599
Speaker 1: debate went last night. I thought, for uh, Trump did

1600
01:29:48,640 --> 01:29:51,360
Speaker 1: a very conservative approach. He could have made a lot

1601
01:29:51,439 --> 01:29:55,080
Speaker 1: of points back and looked very silly, and I think

1602
01:29:55,160 --> 01:29:58,920
Speaker 1: he took the high road, unlike Hillary, who, in my

1603
01:29:59,760 --> 01:30:03,280
Speaker 1: peace end, has set women's back fifty years with her

1604
01:30:03,520 --> 01:30:07,160
Speaker 1: unprofessional antics. I have two more quick points. I've traveled

1605
01:30:07,240 --> 01:30:11,120
Speaker 1: multiple states this summer. I don't see the Hillary signs

1606
01:30:11,200 --> 01:30:13,360
Speaker 1: or bumper stickers or any of the support like you

1607
01:30:13,439 --> 01:30:17,120
Speaker 1: did during the Obama campaigns. The second point is there

1608
01:30:17,200 --> 01:30:20,400
Speaker 1: are many people in the United States that are afraid

1609
01:30:20,840 --> 01:30:23,280
Speaker 1: to say that they are for Trump because of the

1610
01:30:23,360 --> 01:30:27,320
Speaker 1: backlash of being called racist, biggest, etcetera. And it's gotten

1611
01:30:27,320 --> 01:30:30,280
Speaker 1: to the point if you don't have uh, if you

1612
01:30:30,360 --> 01:30:34,240
Speaker 1: have an opinion that's contrary to the majority, then you

1613
01:30:34,400 --> 01:30:39,519
Speaker 1: are racist, biggest, etcetera. My advice is, I'm not at

1614
01:30:39,640 --> 01:30:42,599
Speaker 1: some point the polls are meaningless to me. At some point,

1615
01:30:42,680 --> 01:30:44,960
Speaker 1: all of the analysis isn't gonna mean it. There's one

1616
01:30:45,400 --> 01:30:48,920
Speaker 1: poll that matters, and that's election Day. And if you're

1617
01:30:48,920 --> 01:30:52,240
Speaker 1: not registered, and you still have time register, if you

1618
01:30:52,840 --> 01:30:55,080
Speaker 1: have not voted, and maybe you're gonna be able to

1619
01:30:55,160 --> 01:30:57,280
Speaker 1: get your absentee ballot, do what you have to do,

1620
01:30:57,400 --> 01:30:59,599
Speaker 1: because you'll get the government you deserve. That I can

1621
01:30:59,640 --> 01:31:00,200
Speaker 1: promise cho