1
00:00:00,720 --> 00:00:03,720
Speaker 1: Well, how you doing. It's Mark Simone here for Sean

2
00:00:03,840 --> 00:00:06,680
Speaker 1: Hannity eight. Now, normally I wouldn't be nervous, even though

3
00:00:06,680 --> 00:00:09,440
Speaker 1: there's like the biggest radio show in the world, seventeen

4
00:00:09,520 --> 00:00:12,560
Speaker 1: million people listening. But I don't know. It feels shake.

5
00:00:12,600 --> 00:00:14,239
Speaker 1: I haven't done a radio show in like eight days.

6
00:00:14,280 --> 00:00:16,599
Speaker 1: I took the whole week off last week. This is

7
00:00:16,640 --> 00:00:19,720
Speaker 1: that week where all the big hosts just disappear, although

8
00:00:19,760 --> 00:00:22,160
Speaker 1: we've invited a bunch of them to come on today.

9
00:00:22,480 --> 00:00:25,520
Speaker 1: All your favorites who you've been missing. So we got

10
00:00:25,520 --> 00:00:27,840
Speaker 1: lots to get to. We'll get to the stimulus stuff

11
00:00:27,920 --> 00:00:30,520
Speaker 1: two thousand dollars, six hundred dollars, what's the real deal,

12
00:00:30,800 --> 00:00:32,760
Speaker 1: what's the real story? And there's a great example of

13
00:00:32,880 --> 00:00:36,239
Speaker 1: fake news slandering the present. We'll get to that coming up.

14
00:00:36,479 --> 00:00:39,080
Speaker 1: We'll get to that little crazy doctor Fauci. We'll get

15
00:00:39,080 --> 00:00:42,559
Speaker 1: to the vaccine, all the latest. We'll get to the election,

16
00:00:43,000 --> 00:00:46,840
Speaker 1: the recount, the fraud, straightening it out, what's going to happen.

17
00:00:46,880 --> 00:00:49,920
Speaker 1: We'll get to old slow Joe Biden and what's his

18
00:00:50,040 --> 00:00:52,760
Speaker 1: next move? And we get lots to get to Alec

19
00:00:52,800 --> 00:00:56,680
Speaker 1: Baldwin's wife has been caught in a series of lies.

20
00:00:56,840 --> 00:00:59,800
Speaker 1: We'll get to that coming up. So I think I

21
00:00:59,840 --> 00:01:02,680
Speaker 1: know what I'm doing. Linda, are you there? I am here?

22
00:01:03,520 --> 00:01:06,000
Speaker 1: See there you go? Can we say where we really are?

23
00:01:06,560 --> 00:01:10,600
Speaker 1: Is that okay? Sure? Oh? I'm actually not in the studio.

24
00:01:10,640 --> 00:01:14,080
Speaker 1: See this is now the result of twenty twenty and

25
00:01:14,120 --> 00:01:19,240
Speaker 1: this will continue forever. Everybody working from home, Zoom, Skype

26
00:01:19,480 --> 00:01:23,920
Speaker 1: home studios. So nobody's in the studio anymore. In fact,

27
00:01:23,920 --> 00:01:25,640
Speaker 1: why do we even have that studio anymore? We don't

28
00:01:25,640 --> 00:01:27,319
Speaker 1: even know. Okay, First of all, some of us are

29
00:01:27,319 --> 00:01:29,040
Speaker 1: in the studio. Not all of us have the luxury

30
00:01:29,040 --> 00:01:32,800
Speaker 1: of working from home every day, Mark Simone, So you know,

31
00:01:33,080 --> 00:01:36,199
Speaker 1: speak for yourself just saying, oh I get to work

32
00:01:36,200 --> 00:01:38,440
Speaker 1: from home a couple of days a week. And what

33
00:01:38,480 --> 00:01:40,840
Speaker 1: we do is we rotate the team because we're all

34
00:01:40,920 --> 00:01:43,319
Speaker 1: FEMA employees as we get the news out to the

35
00:01:43,360 --> 00:01:46,440
Speaker 1: American public, So we all have to be in there

36
00:01:46,480 --> 00:01:49,680
Speaker 1: because it has to get out to our many many affiliates. Yeah,

37
00:01:49,760 --> 00:01:51,560
Speaker 1: Linda is allowed to work from home because if you've

38
00:01:51,560 --> 00:01:54,160
Speaker 1: ever had her around, oh my god, Oh I'm just

39
00:01:54,920 --> 00:01:57,240
Speaker 1: don't put don't put this here, don't put it over there,

40
00:01:57,240 --> 00:01:59,920
Speaker 1: and do this. Are you trying to say I'm controlling?

41
00:02:00,360 --> 00:02:03,480
Speaker 1: I can't. No, no, uh no, She's one of those people.

42
00:02:03,480 --> 00:02:04,880
Speaker 1: Would you put that over there? Put it over there?

43
00:02:04,920 --> 00:02:08,400
Speaker 1: Then when she comes first, you know, that would look

44
00:02:08,600 --> 00:02:11,480
Speaker 1: much better over there, which is my failed way of saying,

45
00:02:11,560 --> 00:02:14,760
Speaker 1: move it all right? So and as Sean will be

46
00:02:14,800 --> 00:02:18,920
Speaker 1: back soon. What is Shan doing on his vacation somewhere?

47
00:02:20,360 --> 00:02:21,960
Speaker 1: You know, I don't even know if he left, you know,

48
00:02:22,040 --> 00:02:24,239
Speaker 1: I really don't. You know, he's got the kiddo's home

49
00:02:24,240 --> 00:02:26,720
Speaker 1: from school, and I think he's probably hanging out with

50
00:02:26,760 --> 00:02:29,160
Speaker 1: them and doing all that fatherly stuff. You know that

51
00:02:29,240 --> 00:02:31,679
Speaker 1: he's doing four hours of media a day and now

52
00:02:31,680 --> 00:02:33,480
Speaker 1: he's got, you know, all these days off. So I'm

53
00:02:33,480 --> 00:02:36,040
Speaker 1: sure he'll come back to the store crazy. I hope

54
00:02:36,040 --> 00:02:38,720
Speaker 1: it's not one of those crazy ski vacations. I don't

55
00:02:38,720 --> 00:02:40,840
Speaker 1: get Oh god, no, he has not done that in years.

56
00:02:41,440 --> 00:02:43,720
Speaker 1: Oh can you imagine that people pay a lot of

57
00:02:43,720 --> 00:02:46,400
Speaker 1: money to go somewhere where it's even colder than where

58
00:02:46,440 --> 00:02:49,800
Speaker 1: you are and you're stuck in a snowstorm. It's ridiculous.

59
00:02:49,840 --> 00:02:51,560
Speaker 1: So I don't know. I don't like it. They make

60
00:02:51,680 --> 00:02:55,680
Speaker 1: very good hot toddies, you know, that's available everywhere you

61
00:02:55,680 --> 00:03:01,280
Speaker 1: can get that is. I mean, if you were in Florida,

62
00:03:01,320 --> 00:03:03,040
Speaker 1: you don't have to have it airlifted to you. They

63
00:03:03,040 --> 00:03:05,399
Speaker 1: got it right there. Speaking to Florida, I've been talking

64
00:03:05,440 --> 00:03:09,480
Speaker 1: to people down there and it's they're very open down

65
00:03:09,480 --> 00:03:12,720
Speaker 1: Their restaurants are open indoor outdoor, everybody's moving around. You

66
00:03:12,800 --> 00:03:14,400
Speaker 1: wear a mask when you're in a store or you're

67
00:03:14,400 --> 00:03:17,000
Speaker 1: going to be near people, but otherwise they've got it

68
00:03:17,000 --> 00:03:19,919
Speaker 1: wide open and they're doing fine. Their numbers are excellent,

69
00:03:20,440 --> 00:03:23,600
Speaker 1: better than New York, where we've got the craziest governor

70
00:03:23,639 --> 00:03:27,480
Speaker 1: and mayor here in New York City who's locked down everything,

71
00:03:28,240 --> 00:03:30,400
Speaker 1: bankrupting the city. You know, New York has lost so

72
00:03:30,440 --> 00:03:34,399
Speaker 1: many residents. Governor Cuomo has set the new record for

73
00:03:34,480 --> 00:03:37,680
Speaker 1: most people leaving a state. So many people have moved

74
00:03:37,720 --> 00:03:40,360
Speaker 1: out of New York because of his management that we're

75
00:03:40,360 --> 00:03:43,800
Speaker 1: going to lose one or two congressional seats in New

76
00:03:43,880 --> 00:03:48,680
Speaker 1: York and the state is totally bankrupt now needs a

77
00:03:48,720 --> 00:03:51,960
Speaker 1: massive bailout, which you'll never get. The crime is getting

78
00:03:51,960 --> 00:03:54,520
Speaker 1: out of control, biggest crime spike in history. Now what

79
00:03:54,640 --> 00:03:56,640
Speaker 1: is he doing about it? He wrote a book about

80
00:03:56,640 --> 00:04:00,240
Speaker 1: great leadership which if you're in the bookstore, it's in

81
00:04:00,280 --> 00:04:03,960
Speaker 1: the true crime section that he wrote this book. So anyway,

82
00:04:03,920 --> 00:04:05,800
Speaker 1: we've got lots to get to. We'll take your calls.

83
00:04:05,800 --> 00:04:09,440
Speaker 1: Of course, the stimulus is a great example of fake

84
00:04:09,560 --> 00:04:13,280
Speaker 1: news at its best. The president was six hundred dollars,

85
00:04:13,320 --> 00:04:17,159
Speaker 1: the president fighting for two thousand dollars, which makes sense.

86
00:04:17,440 --> 00:04:20,599
Speaker 1: It's a heroic move fight for two thousand. Now to

87
00:04:20,680 --> 00:04:23,000
Speaker 1: get the two thousand, you have to take money out

88
00:04:23,040 --> 00:04:26,120
Speaker 1: of that other spending bill. That's the one where it's

89
00:04:26,640 --> 00:04:29,359
Speaker 1: fifty million for the Kennedy Center for a ballet that

90
00:04:29,400 --> 00:04:32,600
Speaker 1: nobody's going to watch, one hundred million for a gender

91
00:04:33,200 --> 00:04:37,880
Speaker 1: something in Pakistan gender studies. Hey, what happened to follow

92
00:04:37,880 --> 00:04:40,080
Speaker 1: the science? That's a man, that's a woman. It's I mean,

93
00:04:40,120 --> 00:04:44,360
Speaker 1: follow the science there. But there was money for Sudan,

94
00:04:44,440 --> 00:04:48,960
Speaker 1: there was money for and the president. Obviously, it's so logical,

95
00:04:49,480 --> 00:04:51,839
Speaker 1: why don't we just not give any foreign money out

96
00:04:51,960 --> 00:04:54,800
Speaker 1: right now until we get ourselves taken care of? Do

97
00:04:54,880 --> 00:04:57,400
Speaker 1: we get every our citizens taken care of? Paid for?

98
00:04:57,720 --> 00:05:01,280
Speaker 1: So that's what he meant fighting for that. There was

99
00:05:01,360 --> 00:05:03,920
Speaker 1: no way the Democrats would budge, no way they couldn't

100
00:05:03,920 --> 00:05:06,640
Speaker 1: budge them. He bluffed him. He you know, tried to

101
00:05:07,320 --> 00:05:10,719
Speaker 1: play checking with them. Nothing works. So he finally had

102
00:05:10,760 --> 00:05:12,120
Speaker 1: to sign the bill. You know, he wasn't going to

103
00:05:12,240 --> 00:05:16,360
Speaker 1: leave you without the six hundred. So now fake news

104
00:05:16,400 --> 00:05:20,240
Speaker 1: reporting that he deliberately delayed you. He deliberately delayed the check.

105
00:05:20,279 --> 00:05:23,320
Speaker 1: He's deliberately He's dog terrible. What he did, it was

106
00:05:23,360 --> 00:05:25,960
Speaker 1: heroic fighting to get you two thousand. Now you get

107
00:05:26,000 --> 00:05:29,919
Speaker 1: these idiot bureaucrats, these Chuck Schumer's jumping in. Did you

108
00:05:29,960 --> 00:05:32,719
Speaker 1: hear him today about I'll get you the two thousand,

109
00:05:32,760 --> 00:05:34,240
Speaker 1: I'll fight for the two Where were you a week

110
00:05:34,279 --> 00:05:38,000
Speaker 1: ago with the two thousand? Now, what they did, this

111
00:05:38,080 --> 00:05:39,880
Speaker 1: is what the Democrats are really up to. They want

112
00:05:39,920 --> 00:05:42,359
Speaker 1: to lock in that six hundred past that, get that,

113
00:05:42,520 --> 00:05:45,680
Speaker 1: and that's it, because they didn't want to take any

114
00:05:45,720 --> 00:05:48,599
Speaker 1: money out of the other bill, the trillion dollars spending

115
00:05:48,640 --> 00:05:51,719
Speaker 1: bill to pay for this. Because now, why don't they

116
00:05:51,760 --> 00:05:54,880
Speaker 1: fight so hard for money for Sudan or money for

117
00:05:55,000 --> 00:05:59,640
Speaker 1: the Kennedy Center, or because there's a lot of favors

118
00:05:59,680 --> 00:06:03,640
Speaker 1: being there's lobbyists, there's donors, that's why all that money goes.

119
00:06:03,680 --> 00:06:06,560
Speaker 1: There's contracts to be handed out that's why they want

120
00:06:06,560 --> 00:06:07,880
Speaker 1: to give all that money. If they just give you

121
00:06:07,920 --> 00:06:11,200
Speaker 1: two thousand dollars, they get nothing out of it. Oh

122
00:06:11,279 --> 00:06:14,279
Speaker 1: they might be heroic and help you, but it doesn't

123
00:06:14,279 --> 00:06:18,360
Speaker 1: mean anything to them. They want to take care of donors, unions, contracts,

124
00:06:18,360 --> 00:06:23,000
Speaker 1: handout stuff. That's why they're always yelling infrastructure. They you

125
00:06:23,040 --> 00:06:26,039
Speaker 1: should see them. They stay drooling when it comes to infrastructure.

126
00:06:26,040 --> 00:06:29,320
Speaker 1: That's a trillion dollars in contracts to hand out, and

127
00:06:29,400 --> 00:06:32,719
Speaker 1: they overpay by a thousand percent. You know, if it

128
00:06:32,800 --> 00:06:34,599
Speaker 1: costs you know what it costs to pave a road

129
00:06:35,560 --> 00:06:37,640
Speaker 1: forty thousand a mile. You know what they spend on

130
00:06:37,680 --> 00:06:41,160
Speaker 1: it a million a mile. Literally. So that's why they

131
00:06:41,200 --> 00:06:43,839
Speaker 1: like all the climate change. They love that more contracts

132
00:06:43,839 --> 00:06:48,160
Speaker 1: to hand out, more donors. So, and that's the reason.

133
00:06:49,400 --> 00:06:52,120
Speaker 1: As the President fights to clear up all of this

134
00:06:52,279 --> 00:06:55,080
Speaker 1: mystery about this election, the election front, that's the reason

135
00:06:55,600 --> 00:06:58,360
Speaker 1: a lot of these swamp Republicans turn on him. These

136
00:06:58,360 --> 00:07:02,040
Speaker 1: swamp people turn on him. You'd think they do everything

137
00:07:02,080 --> 00:07:04,520
Speaker 1: to keep them, but you got to remember, I hate

138
00:07:04,560 --> 00:07:07,440
Speaker 1: to say it, but Donald Trump not only bad for Democrats,

139
00:07:07,720 --> 00:07:12,680
Speaker 1: but for swamp Republicans. This mitt Romney Rhino or these

140
00:07:12,840 --> 00:07:17,120
Speaker 1: just these swamp people. Their business is donors, lobbyists handing

141
00:07:17,120 --> 00:07:22,400
Speaker 1: out contracts. The President disrupted the whole business model every

142
00:07:22,440 --> 00:07:24,600
Speaker 1: time he saw a ceo. Here's my phone number, call

143
00:07:24,640 --> 00:07:26,400
Speaker 1: me if you need anything. That's not the way it's

144
00:07:26,400 --> 00:07:28,760
Speaker 1: supposed to work. He's supposed to hire a lobbyist. They're

145
00:07:28,760 --> 00:07:32,480
Speaker 1: supposed to spend one hundred million on these congressmen donations,

146
00:07:32,600 --> 00:07:36,200
Speaker 1: money into their pack, into their political pack. So now

147
00:07:36,240 --> 00:07:38,560
Speaker 1: I don't know what's going to happen. January sixth is

148
00:07:38,600 --> 00:07:41,280
Speaker 1: the big day. That's when they have to actually count

149
00:07:41,280 --> 00:07:44,840
Speaker 1: the electoral votes in Congress and declare some sort of victory.

150
00:07:44,840 --> 00:07:48,240
Speaker 1: There's all kinds of stuff happening. You got to listen.

151
00:07:48,280 --> 00:07:51,360
Speaker 1: You got voter fraud, that's pretty obvious all over the place.

152
00:07:52,560 --> 00:07:56,720
Speaker 1: And fake news will keep telling you that the president

153
00:07:56,760 --> 00:07:59,760
Speaker 1: has lost every case and every court. Every case has

154
00:07:59,760 --> 00:08:02,760
Speaker 1: been not a single case has been lost, not one.

155
00:08:03,360 --> 00:08:06,760
Speaker 1: In every case, a court simply refused to hear the case.

156
00:08:07,200 --> 00:08:10,800
Speaker 1: I said, you don't have standing to bring it. You're

157
00:08:10,800 --> 00:08:13,440
Speaker 1: the candidate. Who else would have standing to bring it?

158
00:08:13,880 --> 00:08:17,560
Speaker 1: But there hasn't been a single evidentiary hearing would have

159
00:08:17,600 --> 00:08:20,960
Speaker 1: actually looked at the evidence what will break first to Pennsylvania.

160
00:08:21,080 --> 00:08:26,320
Speaker 1: It's tough. Hey, Linda, you think Arizona's going to break

161
00:08:26,360 --> 00:08:29,000
Speaker 1: first that I don't know who's going to break first.

162
00:08:29,160 --> 00:08:31,200
Speaker 1: I will What I will say is that if there

163
00:08:31,280 --> 00:08:34,719
Speaker 1: is nothing to hide, then the Secretary of States websites

164
00:08:34,760 --> 00:08:37,160
Speaker 1: would have already given out all of the voter data

165
00:08:37,200 --> 00:08:40,040
Speaker 1: so that we could look clearly and concisely at what

166
00:08:40,080 --> 00:08:43,000
Speaker 1: they are considering. When I think what we will see

167
00:08:43,080 --> 00:08:45,079
Speaker 1: is that what they call anomalies or if we call

168
00:08:45,120 --> 00:08:48,280
Speaker 1: corrections or events, there's over six hundred corrections in the

169
00:08:48,320 --> 00:08:51,360
Speaker 1: state of Pennsylvania alone. If we look at just comparing

170
00:08:51,440 --> 00:08:56,599
Speaker 1: data to data voter files between Democrats in Arizona and Maricopa, Pina, Coconino,

171
00:08:56,679 --> 00:08:59,160
Speaker 1: and Panal. Then we look at those frontloaders and we

172
00:08:59,200 --> 00:09:01,200
Speaker 1: look at the rest of the data, and they'll say, oh, well,

173
00:09:01,240 --> 00:09:03,559
Speaker 1: that's just because the Democrats told them to get their

174
00:09:03,559 --> 00:09:06,040
Speaker 1: early votes out and the ballots were in. Actually that's

175
00:09:06,080 --> 00:09:08,720
Speaker 1: not true, because they had exactly the same return for

176
00:09:08,760 --> 00:09:11,120
Speaker 1: Republicans and Democrats when it came to early voting, return

177
00:09:11,160 --> 00:09:13,520
Speaker 1: ballots and requests for mail in. So a lot of

178
00:09:13,520 --> 00:09:16,080
Speaker 1: their arguments aren't being argued properly because they're not involving

179
00:09:16,160 --> 00:09:20,040
Speaker 1: data scientists. Data scientists are people who study data, So

180
00:09:20,080 --> 00:09:21,680
Speaker 1: I don't know why we're not doing that. You know,

181
00:09:21,760 --> 00:09:23,560
Speaker 1: Ron Johnson had a hearing a couple weeks ago that

182
00:09:23,600 --> 00:09:26,679
Speaker 1: was completely useless. There wasn't a single person on that

183
00:09:26,679 --> 00:09:29,240
Speaker 1: panel that knew anything about data, and it was embarrassing

184
00:09:29,280 --> 00:09:31,440
Speaker 1: and it was a waste of taxpayer dollars. And I

185
00:09:31,480 --> 00:09:33,839
Speaker 1: am ashamed that there were not more people there that

186
00:09:33,880 --> 00:09:35,480
Speaker 1: could speak to what was happening, because there's plenty of

187
00:09:35,480 --> 00:09:37,760
Speaker 1: them out there doing the work. Yeah, there is a

188
00:09:37,760 --> 00:09:40,160
Speaker 1: lot to look at. It hasn't been looked at. If

189
00:09:40,720 --> 00:09:44,120
Speaker 1: there was nothing to worry about. For Democrats, I'm sure

190
00:09:44,160 --> 00:09:47,000
Speaker 1: they would say, hey, look at all you want, here's

191
00:09:47,040 --> 00:09:49,720
Speaker 1: the servers. Take a look. If there was nothing to hide,

192
00:09:50,240 --> 00:09:52,640
Speaker 1: they would be handing you the servers. You'd be given

193
00:09:52,640 --> 00:09:54,480
Speaker 1: you the password. You can go and think about it, Mark,

194
00:09:54,520 --> 00:09:57,600
Speaker 1: think about Michigan, like, think about what happened that day.

195
00:09:57,640 --> 00:10:01,679
Speaker 1: Think about all of the GOP poll watchers, electors, observers

196
00:10:01,679 --> 00:10:04,200
Speaker 1: that went down with all their proper credentials and they

197
00:10:04,200 --> 00:10:06,880
Speaker 1: couldn't get in there. Then we've got Mark Zuckerberg. You know,

198
00:10:06,920 --> 00:10:09,960
Speaker 1: with the CTCL Bologni bringing people in and they're allowed

199
00:10:10,000 --> 00:10:12,000
Speaker 1: five feet away from somebody that's counting the votes, but

200
00:10:12,040 --> 00:10:14,280
Speaker 1: the gop observers have to be twenty five feet back.

201
00:10:14,679 --> 00:10:18,000
Speaker 1: I mean, we are talking about some serious infringements. I mean,

202
00:10:18,120 --> 00:10:20,560
Speaker 1: basically Mark Zuckerberg to the plays of the government in

203
00:10:20,600 --> 00:10:25,040
Speaker 1: the twenty twenty election, essentially. Speaking of that, I'm on

204
00:10:25,280 --> 00:10:27,760
Speaker 1: Facebook and I put up it was a very funny picture.

205
00:10:27,760 --> 00:10:30,360
Speaker 1: You've seen this meme of Joe Biden with the empty

206
00:10:30,400 --> 00:10:33,719
Speaker 1: parking lots and Trump with the fifty thousand people there,

207
00:10:33,760 --> 00:10:35,520
Speaker 1: and it's a funny. It shows all this stuff, and

208
00:10:35,520 --> 00:10:38,120
Speaker 1: then how could Biden have won? And it shows a

209
00:10:40,080 --> 00:10:43,120
Speaker 1: Trump wants so many more counties, a million more counties

210
00:10:43,120 --> 00:10:45,360
Speaker 1: than how could Biden. So I go back to this

211
00:10:45,559 --> 00:10:48,680
Speaker 1: Facebook put a big warning thing on it. You're they're

212
00:10:48,800 --> 00:10:52,080
Speaker 1: fact checkers, as rule business false. The fact checker they

213
00:10:52,120 --> 00:10:56,600
Speaker 1: used this PolitiFact which is a total left wing, ridiculous biased.

214
00:10:56,880 --> 00:10:59,080
Speaker 1: So I'm reading, how the hell could you argue this

215
00:10:59,160 --> 00:11:02,679
Speaker 1: isn't something to look at, and they said the reason is,

216
00:11:04,440 --> 00:11:08,480
Speaker 1: in fact, you know that Biden didn't win the counties

217
00:11:08,480 --> 00:11:11,240
Speaker 1: that Obama won. Obama won a lot more counties than Biden.

218
00:11:11,640 --> 00:11:14,480
Speaker 1: So they argued that Biden was strong in the urban counties.

219
00:11:14,520 --> 00:11:16,640
Speaker 1: The rural counties had very few people, and that's where

220
00:11:16,640 --> 00:11:19,720
Speaker 1: Obama went. Are we supposed to believe that Obama was

221
00:11:19,760 --> 00:11:23,400
Speaker 1: stronger in the rural counties than Biden? Or it doesn't

222
00:11:23,440 --> 00:11:26,880
Speaker 1: make any sense. So then I look in this fact checker,

223
00:11:27,080 --> 00:11:30,040
Speaker 1: who is the We consulted our experts. Every expert was

224
00:11:30,120 --> 00:11:33,360
Speaker 1: professor at the University of Illinois, professor at the University

225
00:11:33,360 --> 00:11:36,600
Speaker 1: of this How is a college professor an expert in anything?

226
00:11:37,000 --> 00:11:38,719
Speaker 1: First of all, they could be a professor of their

227
00:11:38,760 --> 00:11:40,760
Speaker 1: living room. Would it matter? So long as they say

228
00:11:40,760 --> 00:11:42,280
Speaker 1: what the left want them to say, they'll put them

229
00:11:42,280 --> 00:11:45,000
Speaker 1: on there. It's belonging. Nobody's doing their own fact checking

230
00:11:45,000 --> 00:11:48,360
Speaker 1: of the fact checkers now, And you cannot consult a

231
00:11:48,520 --> 00:11:53,720
Speaker 1: university professor. They have absolutely no standing, no qualifications. They've

232
00:11:53,760 --> 00:11:56,679
Speaker 1: never run an election, been in an election. They're just academic,

233
00:11:56,720 --> 00:11:59,559
Speaker 1: textbook liberal left wing. Hey. When I was I went

234
00:11:59,600 --> 00:12:03,720
Speaker 1: to which was considered the best broadcasting school in the world,

235
00:12:04,200 --> 00:12:07,559
Speaker 1: and I was they had these great professors of broadcasting,

236
00:12:07,960 --> 00:12:10,079
Speaker 1: and I was also working in some great radio stations.

237
00:12:10,520 --> 00:12:13,280
Speaker 1: And I've done it well, I don't want to say,

238
00:12:13,280 --> 00:12:16,319
Speaker 1: because I'm gonna say, uh, these professors didn't know what

239
00:12:16,360 --> 00:12:19,200
Speaker 1: the hell they were talking. I want to tell you,

240
00:12:19,200 --> 00:12:21,880
Speaker 1: I'm going to bash them. Oh, I mean, I was

241
00:12:21,920 --> 00:12:24,480
Speaker 1: a little whipper snapper. They're working in some pretty big

242
00:12:24,559 --> 00:12:27,280
Speaker 1: radio stations and they go to a school and the

243
00:12:27,320 --> 00:12:29,360
Speaker 1: professor was said, must be done this way, and you've

244
00:12:29,400 --> 00:12:31,600
Speaker 1: got to do it this, and everything they said was wrong.

245
00:12:32,040 --> 00:12:35,600
Speaker 1: Everything they had no contact with the real world. So

246
00:12:36,040 --> 00:12:38,320
Speaker 1: I would imagine it's like that in most businesses. If

247
00:12:38,360 --> 00:12:40,920
Speaker 1: you're a U and one of the great businessmen of

248
00:12:40,920 --> 00:12:42,760
Speaker 1: the world, and you went and took a business class

249
00:12:42,760 --> 00:12:45,080
Speaker 1: and you probably find out they don't know what they're

250
00:12:45,120 --> 00:12:46,959
Speaker 1: talking about. In fact, that was the scene remember the

251
00:12:47,000 --> 00:12:53,600
Speaker 1: Rodney Dangerfield movie. Oh yeah, back to school? Oh my god. Anyway,

252
00:12:53,640 --> 00:12:56,800
Speaker 1: we got lots, uh hey, I shouldn't point out. I mean,

253
00:12:56,840 --> 00:12:59,520
Speaker 1: I'm Mark Simone. I'm normally on w r are big

254
00:12:59,559 --> 00:13:02,640
Speaker 1: flagship here in New York, where it's me and Sean

255
00:13:02,720 --> 00:13:06,840
Speaker 1: and Russian, a great lineup all day long. But we

256
00:13:06,920 --> 00:13:08,960
Speaker 1: got lots to get to. We'll take some calls. One

257
00:13:09,040 --> 00:13:11,440
Speaker 1: eight hundred and nine four one Sean is the number

258
00:13:11,800 --> 00:13:14,920
Speaker 1: you can follow me on Twitter, although I never could

259
00:13:14,960 --> 00:13:16,600
Speaker 1: gain a single Did you know I haven't gained a

260
00:13:16,600 --> 00:13:19,800
Speaker 1: follower in a year. No, I can't imagine why. See,

261
00:13:19,840 --> 00:13:26,120
Speaker 1: I wonder why it's any Trump supporter. I've been retweeted

262
00:13:26,120 --> 00:13:28,240
Speaker 1: by the President twice in one day, didn't gain a

263
00:13:28,280 --> 00:13:31,880
Speaker 1: single follower, as if that's mathematically possible. So you can

264
00:13:31,920 --> 00:13:34,400
Speaker 1: follow me there a parlor or Instagram or wherever. But

265
00:13:34,440 --> 00:13:37,200
Speaker 1: we'll take some calls. Eight hundred nine for one. Sean

266
00:13:37,360 --> 00:13:40,560
Speaker 1: is the number. Mark Simone here for Sean Hannity. Hey,

267
00:13:40,600 --> 00:13:43,439
Speaker 1: it's Mark Simone here for Sean. I'm normally on our

268
00:13:43,480 --> 00:13:48,319
Speaker 1: big flagship wore here in New York. We'll take some calls.

269
00:13:48,320 --> 00:13:51,480
Speaker 1: Eight hundred nine four one. Sean is the number. Eight

270
00:13:51,559 --> 00:13:54,640
Speaker 1: hundred nine four one Sean. Just looking into this, This

271
00:13:55,040 --> 00:13:58,920
Speaker 1: Alec Baldwin. He's quite the con man, this Alec Baldwin,

272
00:13:59,400 --> 00:14:01,600
Speaker 1: because he's been going along with this con job. His

273
00:14:01,679 --> 00:14:05,680
Speaker 1: wife pretending to be Spanish, speaking with a Spanish accent.

274
00:14:05,679 --> 00:14:10,720
Speaker 1: Her name is Hilaria. It turns out it's Hillary and

275
00:14:10,880 --> 00:14:13,760
Speaker 1: he must have been in on it because her explanation

276
00:14:13,840 --> 00:14:16,880
Speaker 1: is before she met her husband, she was spending time

277
00:14:16,920 --> 00:14:20,200
Speaker 1: in Spain. She learned to speak Spanish, and she said

278
00:14:20,240 --> 00:14:23,440
Speaker 1: at some point she consolidated things and next thing you know,

279
00:14:23,520 --> 00:14:26,960
Speaker 1: she had a Spanish accent. But when he married her,

280
00:14:27,520 --> 00:14:30,800
Speaker 1: obviously her parents came to the wedding, and they're from

281
00:14:30,800 --> 00:14:35,800
Speaker 1: Boston there, David Thomas and doctor Catherine Hayward, and she

282
00:14:35,800 --> 00:14:39,400
Speaker 1: grew up in Boston. He must have known this. I mean,

283
00:14:39,440 --> 00:14:42,120
Speaker 1: wouldn't you go at some point go visit her family?

284
00:14:43,040 --> 00:14:46,240
Speaker 1: So at some point you must just listening to his wife?

285
00:14:46,600 --> 00:14:50,040
Speaker 1: Is that what you're saying? Is there any doubt it?

286
00:14:50,680 --> 00:14:52,840
Speaker 1: Anyway you get married and not meet the parents or

287
00:14:52,920 --> 00:14:58,680
Speaker 1: go to where she grew up, and at some point

288
00:14:58,760 --> 00:15:04,960
Speaker 1: wouldn't you say, uh, Catherine Hayward, David Thomas, Boston, how

289
00:15:04,960 --> 00:15:07,800
Speaker 1: any of this accent? So he's been common people every

290
00:15:08,000 --> 00:15:11,000
Speaker 1: Madonna too, you know she's got that whatever the hell

291
00:15:11,040 --> 00:15:14,200
Speaker 1: that is half British fake accent of her. Anyway, let's

292
00:15:14,200 --> 00:15:16,560
Speaker 1: say some calls about it. She has before you go

293
00:15:16,600 --> 00:15:19,080
Speaker 1: to calls. She's been honest, she's been saying she's been studying,

294
00:15:19,560 --> 00:15:21,320
Speaker 1: she wants to speak that way. At least she's open

295
00:15:21,360 --> 00:15:25,240
Speaker 1: about it. Well, I studied languages. I don't end up

296
00:15:25,240 --> 00:15:31,440
Speaker 1: with an accents that insist that this march will never

297
00:15:31,760 --> 00:15:39,080
Speaker 1: add up to anything. Thank you you very classly. Later,

298
00:15:39,160 --> 00:15:45,520
Speaker 1: this is the hallmark of revolution. Yes, I'm angry, Yes

299
00:15:46,480 --> 00:15:52,600
Speaker 1: I am outraged. Yes, I have thought an awful lot

300
00:15:53,200 --> 00:15:57,720
Speaker 1: about blowing up the White House. Yeah, you shouldn't sound

301
00:15:57,720 --> 00:15:59,800
Speaker 1: that outrage, did she? Someone like that crazy woman so

302
00:16:00,080 --> 00:16:04,720
Speaker 1: at boulevard panthering to the camera looking for attention. Anyway,

303
00:16:04,720 --> 00:16:07,920
Speaker 1: it's take some calls. Let's go to Ryan in South Dakota. Hey, Ryan,

304
00:16:08,040 --> 00:16:14,960
Speaker 1: welcome to the Sean Hannity Show. They're Simone. Yeah, mister Simone,

305
00:16:15,000 --> 00:16:16,880
Speaker 1: thank you for taking my call. That runs off the

306
00:16:16,920 --> 00:16:20,920
Speaker 1: tongue so nicely, mister Simone. Um, you said something towards

307
00:16:20,920 --> 00:16:22,880
Speaker 1: the top of the hour that kind of sent a

308
00:16:22,920 --> 00:16:26,000
Speaker 1: bit of a shiver up my spine. I just had

309
00:16:26,000 --> 00:16:29,720
Speaker 1: to respond to it. Um, it was about the push

310
00:16:29,800 --> 00:16:33,040
Speaker 1: for the two thousand dollars COVID relief checks. You described

311
00:16:33,600 --> 00:16:38,280
Speaker 1: that push from Trump as heroic. I just wanted to

312
00:16:38,360 --> 00:16:44,520
Speaker 1: politefully and tactfully disagree with the characterization as heroic. I

313
00:16:44,840 --> 00:16:47,760
Speaker 1: never lost my job in the interest of full disclosure.

314
00:16:47,760 --> 00:16:50,800
Speaker 1: In fact, for the last five months, I've been working

315
00:16:50,960 --> 00:16:54,880
Speaker 1: two part time jobs to pay all my bills, and

316
00:16:55,760 --> 00:16:58,440
Speaker 1: money for those checks has got to come from somewhere.

317
00:16:58,680 --> 00:17:01,080
Speaker 1: It's either going to be borrowed, it's going to be printed,

318
00:17:01,360 --> 00:17:04,480
Speaker 1: or it's going to come from the taxpayer, usually some

319
00:17:04,560 --> 00:17:07,520
Speaker 1: combination of all three. And to me, it kind of

320
00:17:07,640 --> 00:17:11,520
Speaker 1: reeks of the sort of well three distribution that conservative

321
00:17:11,800 --> 00:17:14,720
Speaker 1: used to not be still, Yeah, no, no, listen, you're

322
00:17:14,760 --> 00:17:17,320
Speaker 1: absolutely right, of course, but if you're going to waste

323
00:17:17,320 --> 00:17:20,720
Speaker 1: that trillion dollars on the Sudan, on all those fake

324
00:17:20,800 --> 00:17:23,520
Speaker 1: programs Kennedy Center, and I know it's been good for

325
00:17:23,520 --> 00:17:25,639
Speaker 1: you in South Carolina, you've been doing better down there,

326
00:17:25,680 --> 00:17:27,400
Speaker 1: but there's a lot of places. New York's a good

327
00:17:27,400 --> 00:17:30,880
Speaker 1: example where they closed all the restaurants that's four hundred

328
00:17:34,280 --> 00:17:38,680
Speaker 1: South Dakota even better, even better, I'd like to see

329
00:17:38,720 --> 00:17:42,320
Speaker 1: people fight a little harder to get their businesses open,

330
00:17:42,480 --> 00:17:45,800
Speaker 1: to keep their businesses open, in the finest American tradition

331
00:17:46,240 --> 00:17:49,920
Speaker 1: of telling people in positions of authority, you don't have

332
00:17:50,000 --> 00:17:53,440
Speaker 1: the authority to do that. Yeah, well you listen, you're

333
00:17:53,480 --> 00:17:56,800
Speaker 1: absolutely right, and thanks for calling Ryan. Good point. But

334
00:17:57,400 --> 00:17:59,720
Speaker 1: if you're in New York, you got this crazy mayor

335
00:17:59,760 --> 00:18:03,240
Speaker 1: and governor Cuomo you see him on TV mister Charming

336
00:18:03,280 --> 00:18:04,440
Speaker 1: for an hour and a half. This is a rough

337
00:18:04,480 --> 00:18:08,000
Speaker 1: guy in real life closing businesses. You imagine shutting down

338
00:18:08,040 --> 00:18:12,040
Speaker 1: all the restaurants. He's bankrupted about ten thousand of them

339
00:18:12,040 --> 00:18:13,879
Speaker 1: here in New York, and it's about four hundred thousand

340
00:18:13,920 --> 00:18:16,560
Speaker 1: people that work in that business. And then it ripples

341
00:18:16,600 --> 00:18:21,000
Speaker 1: out to another few hundred thousand that are vendors, suppliers

342
00:18:21,000 --> 00:18:23,760
Speaker 1: that depend on these restaurants. And when you shut down

343
00:18:23,760 --> 00:18:25,879
Speaker 1: the restaurants, it you know, nobody shows up for that,

344
00:18:26,000 --> 00:18:29,000
Speaker 1: nobody goes to the comes into Manhattan anyway. I mean,

345
00:18:29,000 --> 00:18:31,840
Speaker 1: he's just killed a lot of businesses. So you're right

346
00:18:31,880 --> 00:18:35,000
Speaker 1: about stimulus. It's better ways to do this just to open.

347
00:18:35,240 --> 00:18:38,760
Speaker 1: You know, everybody should study New York right now. A

348
00:18:38,840 --> 00:18:41,320
Speaker 1: Cuomo wrote that book on leadership. Well you should see

349
00:18:41,320 --> 00:18:44,119
Speaker 1: he's really given a real crash course on what not

350
00:18:44,240 --> 00:18:48,240
Speaker 1: to do in a state. Close all the businesses, bankrupt everything,

351
00:18:48,359 --> 00:18:51,360
Speaker 1: raise taxes, get people to move out. You can look

352
00:18:51,359 --> 00:18:55,040
Speaker 1: at that nursing home decision. There's probably the single dumbest

353
00:18:55,080 --> 00:18:58,919
Speaker 1: decision ever in the whole coronavirus where he sent the

354
00:18:59,040 --> 00:19:03,399
Speaker 1: patients who tested positive back into the nursing homes, infecting everybody.

355
00:19:03,720 --> 00:19:08,080
Speaker 1: That's speaking of a mess California. Let's go to Anthony

356
00:19:08,160 --> 00:19:15,200
Speaker 1: in California. Anthony, how you doing taken my call? Yes, Anthony, Yeah,

357
00:19:15,560 --> 00:19:17,560
Speaker 1: I was just you know, had a kind of a

358
00:19:17,600 --> 00:19:20,680
Speaker 1: comment or a question. Is you know back in March,

359
00:19:20,920 --> 00:19:23,679
Speaker 1: we you know, are what was it Andrew Newsom? I

360
00:19:23,680 --> 00:19:27,880
Speaker 1: mean Gavin Newsom? I get mixed up between Cuomo and Newsom?

361
00:19:27,960 --> 00:19:31,200
Speaker 1: But where's where's the field hospitals? You know, where's the

362
00:19:32,200 --> 00:19:34,440
Speaker 1: hospital ships? You know, they say we're at one hundred

363
00:19:34,480 --> 00:19:38,520
Speaker 1: percent capacity now and ICEUS, but you know they're not

364
00:19:38,800 --> 00:19:42,919
Speaker 1: calling in these resources and they're not asking help from

365
00:19:42,920 --> 00:19:45,960
Speaker 1: President Trump. So you know, my only thought is do

366
00:19:46,000 --> 00:19:49,360
Speaker 1: they not want to get caught in their lies again? Yeah?

367
00:19:49,480 --> 00:19:50,800
Speaker 1: I don't know what to tell you about that, but

368
00:19:51,240 --> 00:19:53,879
Speaker 1: thanks for calling, Anthony. It's a strange situation in California.

369
00:19:53,920 --> 00:19:55,800
Speaker 1: They claim their full competit. You have to remember, you

370
00:19:55,840 --> 00:19:58,640
Speaker 1: hear all these governments we're out of ICU beds, as

371
00:19:58,640 --> 00:19:59,919
Speaker 1: if that's the end of the world. Well, you know,

372
00:20:00,040 --> 00:20:02,239
Speaker 1: you can actually create new ICU beds. You can make

373
00:20:02,280 --> 00:20:04,760
Speaker 1: another one hundred or two hundred ICU beds when you

374
00:20:04,800 --> 00:20:06,800
Speaker 1: need to just equipment. That way, you got to bring

375
00:20:06,840 --> 00:20:09,800
Speaker 1: in some ICU nurses. But you can always do that's

376
00:20:09,920 --> 00:20:11,400
Speaker 1: that's not hard. And we did that in New York.

377
00:20:11,800 --> 00:20:14,119
Speaker 1: I just brought him in from somewhere else. But you

378
00:20:14,160 --> 00:20:18,920
Speaker 1: remember again, crazy Governor Cuomo screaming, I need forty thousand ventilized.

379
00:20:18,920 --> 00:20:21,480
Speaker 1: Well didn't need they needed twelve hundred. And remember the

380
00:20:21,560 --> 00:20:24,919
Speaker 1: President sent the hospital ship Comfort with a thousand beds

381
00:20:25,320 --> 00:20:28,119
Speaker 1: built him a thousand bed hospital in the Javit Center.

382
00:20:28,480 --> 00:20:31,320
Speaker 1: An absolute miracle. He built this hospital like one week.

383
00:20:31,359 --> 00:20:33,879
Speaker 1: It was an amazing thing. Army Corps of engineers was

384
00:20:34,000 --> 00:20:37,960
Speaker 1: never needed. And all of that. You know, if you

385
00:20:37,960 --> 00:20:41,160
Speaker 1: ever watched CNN or MSNBC, you just want to see

386
00:20:41,200 --> 00:20:44,119
Speaker 1: something silly, you'd be terrified if you watch this all day.

387
00:20:44,119 --> 00:20:46,280
Speaker 1: It's like everybody who gets the coronavirus is dead in

388
00:20:46,320 --> 00:20:49,960
Speaker 1: a week. It's you can't really die from the coronavirus anymore.

389
00:20:50,240 --> 00:20:55,120
Speaker 1: If you have underlying conditions, some terrible medical situation, then

390
00:20:55,160 --> 00:20:57,160
Speaker 1: of course you could. But you could from the flu too,

391
00:20:57,160 --> 00:21:00,679
Speaker 1: if you got that. The death rate is approaching zero.

392
00:21:00,960 --> 00:21:04,840
Speaker 1: On coronavirus survival rate is now ninety nine point five

393
00:21:05,000 --> 00:21:08,760
Speaker 1: percent for almost every age group. So, and the therapeutics

394
00:21:08,800 --> 00:21:11,720
Speaker 1: are great. The vaccine is on the way. Two million

395
00:21:11,760 --> 00:21:14,639
Speaker 1: have already been getting given out. You're gonna have another,

396
00:21:14,960 --> 00:21:19,040
Speaker 1: hopefully ten million done in the next month. You notice

397
00:21:19,080 --> 00:21:23,360
Speaker 1: all these politicians saying, I'll do it on TV just

398
00:21:23,400 --> 00:21:25,320
Speaker 1: to show people that it's over. You know, this is

399
00:21:25,359 --> 00:21:27,480
Speaker 1: their way of jumping the line, getting in there first.

400
00:21:27,840 --> 00:21:30,240
Speaker 1: Joe Biden acting like a hero. I'll get it on

401
00:21:30,320 --> 00:21:33,080
Speaker 1: TV just to show people that it's okay. And then

402
00:21:33,119 --> 00:21:35,280
Speaker 1: you notice his wife is there. How the hell did

403
00:21:35,280 --> 00:21:39,080
Speaker 1: she get in line there? What doctor Jill Biden? She's

404
00:21:39,119 --> 00:21:42,200
Speaker 1: a teacher in a community college and suddenly she's doctor

405
00:21:42,280 --> 00:21:44,199
Speaker 1: Jill Biden. Have you ever watched in Hey, Linda, have

406
00:21:44,200 --> 00:21:47,120
Speaker 1: you ever watched an interview with doctor Jill Biden? I'll

407
00:21:47,160 --> 00:21:49,680
Speaker 1: try not too, but you FC and one in two Yeah,

408
00:21:49,720 --> 00:21:52,679
Speaker 1: go google an interview with doctor Jill Buatcher. This is

409
00:21:52,760 --> 00:21:56,960
Speaker 1: this woman. I QA maybe ninety five hundred deaths about it.

410
00:21:57,040 --> 00:21:59,120
Speaker 1: She's not the brightest woman in the world. You see

411
00:21:59,119 --> 00:22:01,239
Speaker 1: why she never advanced stead of a community college as

412
00:22:01,280 --> 00:22:05,080
Speaker 1: a teacher and kind of a nitwick. Yeah, but I

413
00:22:05,119 --> 00:22:07,520
Speaker 1: have an issue with anybody all these PhDs who want

414
00:22:07,520 --> 00:22:10,160
Speaker 1: to be called doctor. You know, unless you can't save

415
00:22:10,240 --> 00:22:12,879
Speaker 1: a life. Please just spare me. Put PhD at the

416
00:22:12,920 --> 00:22:14,600
Speaker 1: end of your name. I'm fine with that. You got

417
00:22:14,600 --> 00:22:16,360
Speaker 1: the loans to prove he did it, That's all good

418
00:22:16,400 --> 00:22:19,679
Speaker 1: with me. But I don't need to pay doctor. PhDs

419
00:22:19,720 --> 00:22:23,280
Speaker 1: don't call themselves doctor. We know dozens of them. Monica Crowley,

420
00:22:23,280 --> 00:22:25,159
Speaker 1: our buddy, Monica Crowley, how many times she been on

421
00:22:25,200 --> 00:22:28,639
Speaker 1: the show. Please call me, give me a break whenever

422
00:22:28,640 --> 00:22:30,680
Speaker 1: you're done introducing or she doesn't say, hey, you gotta

423
00:22:30,720 --> 00:22:33,280
Speaker 1: call me doctor. You exactly, And anybody who says call

424
00:22:33,400 --> 00:22:36,199
Speaker 1: me doctor, I don't want to know you. Yeah. Let

425
00:22:36,280 --> 00:22:38,320
Speaker 1: me point out Jill Biden is not a PhD. She's

426
00:22:38,359 --> 00:22:41,840
Speaker 1: a doctor of education. You know. She went back late

427
00:22:41,840 --> 00:22:43,840
Speaker 1: and just like Bill Cosby when he was about fifty

428
00:22:43,920 --> 00:22:46,080
Speaker 1: years old, his career stalled for a while, so he

429
00:22:46,080 --> 00:22:48,600
Speaker 1: went to the University of Massachusetts and got a doctorate

430
00:22:48,640 --> 00:22:51,840
Speaker 1: of education. And remember, for a while he called himself

431
00:22:51,840 --> 00:22:54,400
Speaker 1: doctor William H. Cosby, but after a year he got

432
00:22:54,400 --> 00:22:56,440
Speaker 1: tired of and stopped doing it. So she's got the

433
00:22:56,480 --> 00:23:01,280
Speaker 1: Bill Cosby degree, and it's gonna be if he gets in.

434
00:23:02,160 --> 00:23:04,600
Speaker 1: There's still a chance he could be president if he

435
00:23:04,640 --> 00:23:10,480
Speaker 1: gets Biden. Oh god, no, never, there's a chance. But

436
00:23:11,119 --> 00:23:13,560
Speaker 1: if well you don't, we'll get to watch out for

437
00:23:13,600 --> 00:23:16,760
Speaker 1: this swamp. They'll do anything they have to. Anyway. Let's

438
00:23:16,760 --> 00:23:18,720
Speaker 1: take another Let's go to Dave in Chicago. Dave, how

439
00:23:18,800 --> 00:23:22,480
Speaker 1: you doing. I'm doing very well. Mark, Good afternoon, Mark.

440
00:23:22,560 --> 00:23:24,840
Speaker 1: This is a textbook case of how out of touch

441
00:23:24,920 --> 00:23:29,280
Speaker 1: Democrats are to defund the police. The Nashville bombing incident

442
00:23:29,359 --> 00:23:33,040
Speaker 1: with its police hero saves countless lives on Christmas morning,

443
00:23:33,400 --> 00:23:35,920
Speaker 1: and their call to defund the police. I'd say all

444
00:23:36,000 --> 00:23:39,880
Speaker 1: police departments across the country should have their budgets increased,

445
00:23:40,040 --> 00:23:44,840
Speaker 1: not cut. Yeah, well, yeah, no, of course I agree

446
00:23:44,880 --> 00:23:47,320
Speaker 1: with you. But I don't know if any of these

447
00:23:48,400 --> 00:23:50,879
Speaker 1: the protesters wanted to defund the police. I don't know

448
00:23:50,880 --> 00:23:52,960
Speaker 1: if any of the real Democratic politicians. By the way,

449
00:23:52,960 --> 00:23:55,680
Speaker 1: all of you we are protesters listening, you're Chuck Schumer's

450
00:23:55,720 --> 00:23:57,440
Speaker 1: and you're Joe. But they didn't really believe any of

451
00:23:57,440 --> 00:23:59,159
Speaker 1: that stuff. They just what they're just playing you to

452
00:23:59,200 --> 00:24:02,480
Speaker 1: get elected. They didn't care less about defunding the police

453
00:24:02,640 --> 00:24:08,199
Speaker 1: or you know, George Floyd, terrible, horrifying situation. George Floyd.

454
00:24:08,240 --> 00:24:09,960
Speaker 1: But have you ever heard Joe Biden or any of

455
00:24:09,960 --> 00:24:12,239
Speaker 1: these people ever mentioned it again? They forgot about it

456
00:24:12,240 --> 00:24:15,280
Speaker 1: completely once they got elected once. They if they think

457
00:24:15,280 --> 00:24:17,800
Speaker 1: they got elected once, they don't need him anymore, Totally

458
00:24:17,800 --> 00:24:20,639
Speaker 1: forgotten about. Uh, let's take another call. Let's go to

459
00:24:20,720 --> 00:24:24,280
Speaker 1: John and Florida. John, Welcome to Sean Hannity Show. How

460
00:24:24,400 --> 00:24:28,000
Speaker 1: you doing so? I'm glad you fall there. Um, My

461
00:24:28,119 --> 00:24:31,240
Speaker 1: question was simple and straightforward. M cuomo's doing such a

462
00:24:31,280 --> 00:24:35,720
Speaker 1: wildy job like Newsom out in California and typical demon rat.

463
00:24:35,760 --> 00:24:38,480
Speaker 1: There's no doubt about it. But why don't they go

464
00:24:38,520 --> 00:24:40,320
Speaker 1: ahead and do a recall on him? There's a lot

465
00:24:40,359 --> 00:24:42,760
Speaker 1: of people out in western New York, out in the

466
00:24:42,760 --> 00:24:45,200
Speaker 1: Buffalo area that are set up with the guy. They

467
00:24:45,200 --> 00:24:47,239
Speaker 1: have had it. You know, they're hard working people. They

468
00:24:47,880 --> 00:24:49,760
Speaker 1: get up and go to you know, get up and

469
00:24:49,840 --> 00:24:51,880
Speaker 1: go to work every morning. Is that how you're really

470
00:24:51,920 --> 00:24:54,000
Speaker 1: taking a liberal mad get up and go to work

471
00:24:54,040 --> 00:24:56,919
Speaker 1: and be happy? You know, I mean, come on, you know,

472
00:24:56,960 --> 00:24:59,560
Speaker 1: I mean, I mean, you know you're as You're absolutely

473
00:24:59,600 --> 00:25:04,200
Speaker 1: right for calling. If there were an election tomorrow, Cuomo

474
00:25:04,240 --> 00:25:07,760
Speaker 1: would lose. He'd get wiped out by anybody anybody would

475
00:25:07,800 --> 00:25:11,119
Speaker 1: beat Cuomo. However, you can't just do a recall in

476
00:25:11,160 --> 00:25:14,239
Speaker 1: New York State. Our Supreme Court has to put it

477
00:25:14,280 --> 00:25:17,080
Speaker 1: on the ballot, and you have the Supreme Court the legislature.

478
00:25:17,280 --> 00:25:20,440
Speaker 1: The reason New York that's so bad is there's a legislature,

479
00:25:20,480 --> 00:25:23,320
Speaker 1: two houses. Usually one's Republican, one's Democrat. For the last

480
00:25:23,359 --> 00:25:27,560
Speaker 1: few years they're both democratic. The courts, everything is all democratic,

481
00:25:27,640 --> 00:25:30,520
Speaker 1: one party state. That's why it went crazy. Hey, I

482
00:25:30,560 --> 00:25:32,880
Speaker 1: was just point out you're talking about the dumbest things ever.

483
00:25:33,160 --> 00:25:36,520
Speaker 1: Cuomo signed this legislation here in New York where all

484
00:25:36,560 --> 00:25:39,879
Speaker 1: the prisoners are released, the most violent criminals, they're all released,

485
00:25:39,880 --> 00:25:43,399
Speaker 1: no bail. Everybody's out no bail. There. You hear this

486
00:25:43,480 --> 00:25:46,159
Speaker 1: crime spike in New York cops every time they arrest him.

487
00:25:46,359 --> 00:25:48,200
Speaker 1: We know this guy, We've arrested him like twelve times

488
00:25:48,240 --> 00:25:50,520
Speaker 1: this month, and they get back out in the street

489
00:25:50,520 --> 00:25:52,800
Speaker 1: in a couple of hours. This is a Cuomo in action.

490
00:25:52,960 --> 00:25:54,560
Speaker 1: Bear that in mind next time you watch one of

491
00:25:54,560 --> 00:25:58,960
Speaker 1: his wonderful briefings and Newsom in California. I mean, these

492
00:25:59,000 --> 00:26:02,080
Speaker 1: two guys could screw you know, people have been plotting

493
00:26:02,119 --> 00:26:04,880
Speaker 1: to how to destroy America just send these two guys

494
00:26:04,880 --> 00:26:07,320
Speaker 1: to every state. They could do it for you. Hey,

495
00:26:07,320 --> 00:26:09,959
Speaker 1: we'll take some more calls. Eight hundred nine four one,

496
00:26:10,000 --> 00:26:12,199
Speaker 1: Sean is the number. Lou Dobbs will be with us

497
00:26:12,240 --> 00:26:14,040
Speaker 1: at the top of the hour. Boy, I've been missing

498
00:26:14,119 --> 00:26:16,320
Speaker 1: him all week. He's on vacation. And Bill O'Reilly in

499
00:26:16,400 --> 00:26:19,600
Speaker 1: the next hour. And Peter Navarro. It's some fascinating stuff.

500
00:26:20,000 --> 00:26:22,320
Speaker 1: And to follow me on Twitter, it's Mark Simone n

501
00:26:22,440 --> 00:26:26,920
Speaker 1: y Twitter Parlor, Instagram, Mark Simone n moysey on Instagram.

502
00:26:27,480 --> 00:26:30,200
Speaker 1: Back at a moment on the Sean Hannity Show. Hey,

503
00:26:30,240 --> 00:26:33,120
Speaker 1: welcome back. It's the Sean Hannity Show. This is Mark

504
00:26:33,200 --> 00:26:37,120
Speaker 1: Simone here for Sean. I like this working from home

505
00:26:37,200 --> 00:26:40,480
Speaker 1: stuff makes life a lot easier. This working from home.

506
00:26:41,400 --> 00:26:43,639
Speaker 1: I mean, I like seen Linda and Jason and Katie,

507
00:26:43,640 --> 00:26:47,200
Speaker 1: everybody in the studio. But you gotta check in at

508
00:26:47,200 --> 00:26:49,159
Speaker 1: the front desk there and they you know, they you

509
00:26:49,240 --> 00:26:50,960
Speaker 1: always put me in the system, but I'm never in

510
00:26:51,000 --> 00:26:53,000
Speaker 1: the system. And they always give you that you're not

511
00:26:53,080 --> 00:26:55,640
Speaker 1: on the list. Well I'm not. What's your name? It's

512
00:26:55,920 --> 00:26:57,800
Speaker 1: December twenty eight. See him right there in the time,

513
00:26:58,200 --> 00:27:01,359
Speaker 1: and you have to the virus that we're gonna worry about,

514
00:27:01,359 --> 00:27:04,479
Speaker 1: the elevator you're gonna worry about and stuff. So a

515
00:27:04,520 --> 00:27:06,840
Speaker 1: lot of people working from home, and now all the

516
00:27:06,840 --> 00:27:10,000
Speaker 1: futurists are trying to predict what happens when this is over.

517
00:27:10,080 --> 00:27:12,280
Speaker 1: And this is just about over. What happens next year.

518
00:27:12,840 --> 00:27:14,920
Speaker 1: A lot of people are going to want to keep

519
00:27:14,960 --> 00:27:19,399
Speaker 1: working from home. Zoom stock is up like twelve hundred

520
00:27:19,480 --> 00:27:23,280
Speaker 1: percent this year, and a lot of employers starting to realize,

521
00:27:23,480 --> 00:27:25,480
Speaker 1: you know, if we have a lot of people working

522
00:27:25,480 --> 00:27:27,840
Speaker 1: at home, we don't need half our office space. We

523
00:27:27,880 --> 00:27:30,399
Speaker 1: can save a fortune and rent A lot of the

524
00:27:30,400 --> 00:27:32,399
Speaker 1: employees think about if I work from home, I can

525
00:27:32,440 --> 00:27:34,480
Speaker 1: live wherever I want. In order to live so close,

526
00:27:34,840 --> 00:27:37,440
Speaker 1: you can move to a more distant play. So all

527
00:27:37,480 --> 00:27:40,240
Speaker 1: that's going on in everybody's head. However, all these experts

528
00:27:40,240 --> 00:27:44,720
Speaker 1: say employers will allow a lot more people to work

529
00:27:44,760 --> 00:27:46,600
Speaker 1: from home. They'll be happy to have you work from home,

530
00:27:46,640 --> 00:27:52,040
Speaker 1: no problem, except, as they predict, employers will cut salaries

531
00:27:52,080 --> 00:27:54,560
Speaker 1: as a result. Since you're allowing you to work from home,

532
00:27:55,080 --> 00:27:57,919
Speaker 1: they'll pay less. So that'll be the concession. So if

533
00:27:57,960 --> 00:28:01,080
Speaker 1: you're plotting and planning how you gonna keep working at

534
00:28:01,160 --> 00:28:03,840
Speaker 1: home forever. That's probably where it's gonna go. We have

535
00:28:03,840 --> 00:28:06,120
Speaker 1: time for a quick call. Let's go to Brian in

536
00:28:06,400 --> 00:28:08,800
Speaker 1: North Carolina. Brian, we just got a few seconds. What

537
00:28:08,840 --> 00:28:13,480
Speaker 1: do you want to say? Brian? Hey, Mark, happy holidays

538
00:28:13,520 --> 00:28:17,159
Speaker 1: and all that stuff you just want to I just

539
00:28:17,200 --> 00:28:20,120
Speaker 1: wanted to chime in on the doctor thing. I'm a

540
00:28:20,160 --> 00:28:24,119
Speaker 1: critical care pharmacis doctor of pharmacy, and I don't know

541
00:28:24,200 --> 00:28:27,040
Speaker 1: a doctor worth their salt that wants to be called doctor.

542
00:28:27,560 --> 00:28:31,639
Speaker 1: And I certainly don't want to be Yeah, college level,

543
00:28:31,840 --> 00:28:34,760
Speaker 1: I used to teach and the students were required to

544
00:28:34,760 --> 00:28:39,080
Speaker 1: call me that. But okay, that's yeah, all right, thanks

545
00:28:39,120 --> 00:28:41,360
Speaker 1: for going. I understand in the formal setting you could

546
00:28:41,360 --> 00:28:44,000
Speaker 1: call her doctor Jill Biden, but out in real life

547
00:28:44,040 --> 00:28:46,320
Speaker 1: you're just in insecure yots. If you make people call

548
00:28:46,400 --> 00:28:51,120
Speaker 1: you a doctor, it's so ridiculous. Go see a shrink,

549
00:28:51,160 --> 00:28:52,920
Speaker 1: get some confidence in yourself. You won't have to have

550
00:28:53,320 --> 00:28:55,800
Speaker 1: everybody ordered to call you a doctor. Hey, lou Dobbs

551
00:28:55,840 --> 00:28:57,720
Speaker 1: will be with us next after the top of the hour.

552
00:28:57,960 --> 00:29:02,600
Speaker 1: Mark Simone here for Sean Hannity on the Sean Hannity Show. Well,

553
00:29:02,640 --> 00:29:05,720
Speaker 1: it's the Sean Hannity show Mark Simone here for Sean

554
00:29:05,880 --> 00:29:09,000
Speaker 1: normally on our big flagship wo R here in New York.

555
00:29:09,080 --> 00:29:11,640
Speaker 1: So this is a week or two where every host

556
00:29:11,760 --> 00:29:14,800
Speaker 1: is away, all your favorites are gone to I can't

557
00:29:14,800 --> 00:29:17,240
Speaker 1: help it. Every day five and seven o'clock I run

558
00:29:17,320 --> 00:29:19,680
Speaker 1: to turn on Lou Dobbs on the Fox Business Network

559
00:29:19,840 --> 00:29:21,640
Speaker 1: and he's not there. So we got him here. We

560
00:29:21,720 --> 00:29:23,800
Speaker 1: got to know what he thinks. By the way, Lou

561
00:29:23,920 --> 00:29:27,240
Speaker 1: Dobbs has written some excellent books through the years. His

562
00:29:27,400 --> 00:29:30,800
Speaker 1: latest book, You've got to Get It excellent, The Trump Century,

563
00:29:31,200 --> 00:29:33,760
Speaker 1: very important book, How our President changed the course of

564
00:29:33,800 --> 00:29:37,640
Speaker 1: history forever. The Trump Century, brand new book by Lou Dobbs.

565
00:29:37,800 --> 00:29:39,920
Speaker 1: Make sure you get it's already a big best seller.

566
00:29:40,200 --> 00:29:42,040
Speaker 1: And he's with us now, of course. Every day five

567
00:29:42,080 --> 00:29:45,240
Speaker 1: and seven o'clock on the Fox Business Network, Lou Dobbs,

568
00:29:45,280 --> 00:29:48,920
Speaker 1: how you doing well. I'm doing great, Mark, Happy New Year,

569
00:29:49,160 --> 00:29:51,800
Speaker 1: great to be with you. Yes, I can't wait for

570
00:29:51,840 --> 00:29:55,440
Speaker 1: another year. Enough with this one. This has been quite

571
00:29:55,480 --> 00:30:02,080
Speaker 1: a year. It's been suppering. January sixth, that is a

572
00:30:02,120 --> 00:30:06,200
Speaker 1: big day. Congress will have to officially vote on the

573
00:30:06,200 --> 00:30:08,200
Speaker 1: Electoral College. What do we think is going to happen?

574
00:30:08,280 --> 00:30:11,960
Speaker 1: That day. Well, it's going to be interesting, as you say,

575
00:30:12,040 --> 00:30:15,120
Speaker 1: because we've we've got a number of Congressmen who are

576
00:30:15,120 --> 00:30:20,640
Speaker 1: prepared to challenge electors. We've got apparently they are very confident,

577
00:30:21,320 --> 00:30:25,880
Speaker 1: which always makes me less than confident, as they have

578
00:30:25,960 --> 00:30:31,840
Speaker 1: some support amongst the Senators to act to actually stand

579
00:30:31,920 --> 00:30:38,600
Speaker 1: up against the elector the electors. I personally, you know,

580
00:30:38,640 --> 00:30:42,560
Speaker 1: I'm not particularly fond of either the approach or the

581
00:30:42,600 --> 00:30:48,480
Speaker 1: possibilities for success. Oh, I understand what you're saying. Everybody

582
00:30:48,520 --> 00:30:53,000
Speaker 1: we're depending on for this, they're politicians and the swamp all.

583
00:30:53,040 --> 00:30:55,080
Speaker 1: They tend to back down and checking out at the

584
00:30:55,120 --> 00:30:58,640
Speaker 1: last second, don't they. Yeah, think about what we're doing here.

585
00:30:59,120 --> 00:31:01,760
Speaker 1: As we are approach change January fifth day, the day

586
00:31:01,800 --> 00:31:05,320
Speaker 1: before that, obviously, we're going to have an election in

587
00:31:05,320 --> 00:31:10,960
Speaker 1: Georgia where they've changed not anything, nothing, an election the

588
00:31:11,000 --> 00:31:15,960
Speaker 1: president and nearly everyone who supports him has declared to

589
00:31:16,000 --> 00:31:21,200
Speaker 1: be a fraudulent election. They've changed nothing, and they're expecting

590
00:31:21,240 --> 00:31:27,920
Speaker 1: to have two Rhinos Senate candidates prevail. I don't quite

591
00:31:28,000 --> 00:31:33,640
Speaker 1: understand first of all, the enthusiasm suddenly for Rhinos amongst Republicans,

592
00:31:33,680 --> 00:31:37,760
Speaker 1: and secondly, how they think that the Republicans will prevail

593
00:31:38,400 --> 00:31:42,800
Speaker 1: when the Democrats showed them how it's done. Georgia's style,

594
00:31:42,960 --> 00:31:49,080
Speaker 1: Michigan style, California's style, Arizona, Nevada, Wisconsin, Pennsylvania, and the

595
00:31:49,240 --> 00:31:53,720
Speaker 1: list goes on. Yeah, And the problem is the Dominion

596
00:31:53,800 --> 00:31:57,240
Speaker 1: seems to have quite a relationship with Georgia and its governors.

597
00:31:57,280 --> 00:32:01,600
Speaker 1: So I don't see that's changing. And understand outsourcing. If

598
00:32:01,600 --> 00:32:04,280
Speaker 1: you're manufacturing, you can pay pennies on the dollar. But

599
00:32:04,840 --> 00:32:07,320
Speaker 1: how did this happen that we outsource our vote counting?

600
00:32:07,360 --> 00:32:11,600
Speaker 1: Why would that ever happen? You know, it's one of

601
00:32:11,600 --> 00:32:15,120
Speaker 1: the great mysteries here. I've covered electoral integrity. It's an

602
00:32:15,120 --> 00:32:19,560
Speaker 1: issue to funding some odd years. Dominion goes back to

603
00:32:19,840 --> 00:32:29,520
Speaker 1: day Bold a time, a very suspect organization in terms

604
00:32:29,520 --> 00:32:35,480
Speaker 1: of their ability to count votes. And there's a legacy

605
00:32:35,560 --> 00:32:38,800
Speaker 1: of this. We're talking about all of these private companies

606
00:32:39,800 --> 00:32:44,160
Speaker 1: that have proprietary interests and therefore hide behind it. And

607
00:32:44,360 --> 00:32:48,680
Speaker 1: I don't hear a single secretary estate outside of Texas.

608
00:32:49,120 --> 00:32:53,200
Speaker 1: To correct the record, they refuse to use Dominion machines,

609
00:32:54,040 --> 00:32:56,840
Speaker 1: but then they used others that are just as privately

610
00:32:56,920 --> 00:33:02,160
Speaker 1: held and just as opaque and lacking transparency, that every

611
00:33:02,160 --> 00:33:07,160
Speaker 1: American should be the mourning from all of these counting companies.

612
00:33:07,640 --> 00:33:12,200
Speaker 1: They're not just voting companies, they do the counting. And

613
00:33:12,600 --> 00:33:15,040
Speaker 1: how in the world we've gotten to a point where

614
00:33:15,080 --> 00:33:20,960
Speaker 1: Americans can just blithely walk in and cast a ballot

615
00:33:21,360 --> 00:33:24,600
Speaker 1: without knowing how it's counted, how what happens to it.

616
00:33:25,040 --> 00:33:29,040
Speaker 1: What is the ability to actually do a meaningful recap,

617
00:33:29,920 --> 00:33:32,200
Speaker 1: What is the paper trail, and how do we know

618
00:33:32,280 --> 00:33:37,920
Speaker 1: the paper is any better than the electronic actions that

619
00:33:37,960 --> 00:33:44,080
Speaker 1: were taken during the election, say, election day, election weeks,

620
00:33:45,320 --> 00:33:49,480
Speaker 1: so in months. So it's it's it's a farce and

621
00:33:49,920 --> 00:33:52,960
Speaker 1: we have no one to blame it ourselves. Really, both

622
00:33:53,000 --> 00:33:57,920
Speaker 1: parties are shameless in this. It's discussing so yeah, and

623
00:33:58,200 --> 00:34:00,320
Speaker 1: to me, the Democrats have no confidence in in the

624
00:34:00,400 --> 00:34:03,960
Speaker 1: votes either, because if they did, wouldn't they say, here,

625
00:34:04,040 --> 00:34:06,520
Speaker 1: recount everything, here the passwords, go on the service, look

626
00:34:06,560 --> 00:34:08,400
Speaker 1: at whatever you want. Wouldn't you do that if you

627
00:34:08,400 --> 00:34:13,399
Speaker 1: were Joe Biden? Yeah, you know, Joe Biden is such

628
00:34:13,440 --> 00:34:20,000
Speaker 1: a straightforward, transparent fellow, and an hundred want to go

629
00:34:20,040 --> 00:34:23,120
Speaker 1: along just for the fun of it. Make sure in

630
00:34:23,200 --> 00:34:25,840
Speaker 1: things on the up and up, I mean you can't

631
00:34:25,920 --> 00:34:29,920
Speaker 1: make up house. I hate to say it. Americans are

632
00:34:29,960 --> 00:34:34,600
Speaker 1: behaving in twenty twenty just as stupidly as we are

633
00:34:34,640 --> 00:34:37,560
Speaker 1: accused of being by most of our European friends and

634
00:34:37,719 --> 00:34:41,400
Speaker 1: many of our allies. We are taking the cake for

635
00:34:41,560 --> 00:34:44,440
Speaker 1: a people that have just decided, you know what the

636
00:34:44,520 --> 00:34:48,319
Speaker 1: hell it looks like we don't care enough as to

637
00:34:48,440 --> 00:34:53,799
Speaker 1: have an election of integrity and accuracy, We don't care

638
00:34:53,920 --> 00:34:56,799
Speaker 1: enough to stop it, and we don't care enough to

639
00:34:56,920 --> 00:35:00,600
Speaker 1: prosecute those are responsible. So I I don't know what

640
00:35:00,719 --> 00:35:05,920
Speaker 1: anyone is expecting on January sixth or January fifth, because

641
00:35:05,960 --> 00:35:09,240
Speaker 1: it all looks like the same, same old, same old,

642
00:35:09,560 --> 00:35:13,400
Speaker 1: and it's not a pretty site. Salute Dobbs is The

643
00:35:13,440 --> 00:35:18,279
Speaker 1: bottom line is you wish you were more confident. I

644
00:35:18,360 --> 00:35:21,839
Speaker 1: just forgive. I just want to say I would love

645
00:35:21,880 --> 00:35:23,960
Speaker 1: to be more optimistic. I would love to be able

646
00:35:23,960 --> 00:35:28,160
Speaker 1: to it's all sunshine, rainbows and little bunnies. But this

647
00:35:28,200 --> 00:35:31,600
Speaker 1: thing is an atrocious mess and we're about to watch

648
00:35:32,040 --> 00:35:35,440
Speaker 1: one of the most affective presidents and history. In my opinion,

649
00:35:35,520 --> 00:35:39,279
Speaker 1: he is the most effective president in the first four

650
00:35:39,360 --> 00:35:42,439
Speaker 1: years of his term since Abraham Lincoln. And for this

651
00:35:42,840 --> 00:35:48,920
Speaker 1: to occur They're going to be people if this fraudulent

652
00:35:49,040 --> 00:35:56,320
Speaker 1: election goes about being a reverse, there'll be people begging

653
00:35:56,400 --> 00:36:02,399
Speaker 1: for Donald Trump to return to office. By June Garrett, well, hey,

654
00:36:02,440 --> 00:36:05,800
Speaker 1: you should read Lou dubbs new book. This is highly recommended.

655
00:36:05,840 --> 00:36:09,080
Speaker 1: This book, The Trump Century. It really lays out what

656
00:36:09,239 --> 00:36:11,880
Speaker 1: this president has meant, how he changed the course of history.

657
00:36:12,080 --> 00:36:14,160
Speaker 1: Get the book Amazon or wherever you get your books.

658
00:36:14,160 --> 00:36:18,799
Speaker 1: The Trump Century by Lou Dubbs is the bottom line

659
00:36:18,840 --> 00:36:22,240
Speaker 1: what this is really all about. Democrats, Republicans, everybody in Washington.

660
00:36:22,320 --> 00:36:24,239
Speaker 1: They just want this guy gone. They want to go

661
00:36:24,280 --> 00:36:29,560
Speaker 1: back to donors, lobbyists, all that stuff. They don't want

662
00:36:29,640 --> 00:36:33,560
Speaker 1: anyone messing with the swamp. And so you're watching every

663
00:36:33,600 --> 00:36:37,239
Speaker 1: swamp sure in the country trying to kill this guy.

664
00:36:37,640 --> 00:36:40,720
Speaker 1: They've been doing it for four years. They have taken

665
00:36:40,760 --> 00:36:43,399
Speaker 1: a run at him, and they tried an FBI investigation

666
00:36:43,520 --> 00:36:47,160
Speaker 1: clibing In was a Russian agent for crying out lob

667
00:36:47,239 --> 00:36:53,560
Speaker 1: not just assets, but an agent colluding for years, and

668
00:36:53,680 --> 00:36:58,040
Speaker 1: that was just the first opening salvo. Then the Special

669
00:36:58,080 --> 00:37:00,799
Speaker 1: Council investigation for two years is the only thing that's

670
00:37:00,840 --> 00:37:04,040
Speaker 1: been proved so far any of these investigations is he

671
00:37:04,120 --> 00:37:07,120
Speaker 1: didn't have any outstanding warrants or otherwise they would have

672
00:37:07,160 --> 00:37:11,480
Speaker 1: tried to impeach him for that. It is ridiculous what

673
00:37:12,560 --> 00:37:15,120
Speaker 1: it is shameful, it's tragic, and he is one of

674
00:37:15,160 --> 00:37:19,080
Speaker 1: the He is, in my opinion, the only American who

675
00:37:19,080 --> 00:37:22,600
Speaker 1: could have stood after all of this viciousness and vile

676
00:37:23,480 --> 00:37:30,280
Speaker 1: attacks for four years and still still, in my opinion, become,

677
00:37:31,640 --> 00:37:36,560
Speaker 1: along with Abraham Lincoln, the greatest president in our history. Yes,

678
00:37:38,760 --> 00:37:40,719
Speaker 1: get the book The Trumps Sentry by Lou Dobbs. Now,

679
00:37:40,760 --> 00:37:43,160
Speaker 1: Lou Dobbs, A lot of the Trump campaign originated with you.

680
00:37:43,200 --> 00:37:45,239
Speaker 1: Back in the two thousands. You were on the air

681
00:37:45,280 --> 00:37:48,320
Speaker 1: talking about the swamp, talking about draining it, talking about

682
00:37:48,360 --> 00:37:51,719
Speaker 1: somebody from the private sector going there and doing this.

683
00:37:51,760 --> 00:37:55,239
Speaker 1: People even pushed you to run. But now that it's

684
00:37:55,280 --> 00:37:57,320
Speaker 1: happened with the toughest guy ever in the history of

685
00:37:57,360 --> 00:38:00,480
Speaker 1: the world, do you think that has scared off anybody

686
00:38:00,480 --> 00:38:06,880
Speaker 1: from ever trying this again. I think possibly succeed without

687
00:38:06,920 --> 00:38:10,839
Speaker 1: a huge political ordinance behind him or heard. It's just

688
00:38:10,880 --> 00:38:12,640
Speaker 1: not going to happen, and it sure won't be a

689
00:38:12,719 --> 00:38:22,240
Speaker 1: Republican anytime soon. I think Republicans are retreating to their bathrooms. Uh, frankly,

690
00:38:22,360 --> 00:38:26,920
Speaker 1: just throw up at what we're all witnessing. This is

691
00:38:27,000 --> 00:38:33,319
Speaker 1: this is pathetic, it is I'm in rage. I I

692
00:38:33,360 --> 00:38:36,759
Speaker 1: just cannot stand to think that this country has come

693
00:38:36,760 --> 00:38:40,960
Speaker 1: to this. We are an apathetic and foolish people. Uh,

694
00:38:41,000 --> 00:38:43,960
Speaker 1: we are not to be taken seriously any longer. If

695
00:38:43,960 --> 00:38:48,520
Speaker 1: we let this happen, this, I mean, really, we're gonna watch.

696
00:38:49,080 --> 00:38:52,879
Speaker 1: Uh it looks like a very real possibility. The two

697
00:38:52,880 --> 00:38:54,840
Speaker 1: Senate seats to go to the Democrats in the mu

698
00:38:55,000 --> 00:38:59,720
Speaker 1: super majority for the House, the Senate and the White House.

699
00:39:00,120 --> 00:39:03,919
Speaker 1: And here comes Puerto Rico as a as a brand

700
00:39:03,960 --> 00:39:07,799
Speaker 1: new state. And pick another state. What would you like, DC?

701
00:39:08,200 --> 00:39:11,040
Speaker 1: How about the district of Columbia. Wouldn't that be a

702
00:39:11,080 --> 00:39:16,920
Speaker 1: brilliant idea assuring a democratic majority and perpetuity. This is

703
00:39:16,920 --> 00:39:19,640
Speaker 1: the takeover of a nation, and we have been such

704
00:39:19,760 --> 00:39:22,560
Speaker 1: full st let an turn because we have seen it

705
00:39:22,719 --> 00:39:26,000
Speaker 1: day in and day out for four and a half years,

706
00:39:26,080 --> 00:39:30,880
Speaker 1: and still we let it happen. It's just and we

707
00:39:31,160 --> 00:39:33,440
Speaker 1: should we should. We should hang our heads in shame

708
00:39:33,800 --> 00:39:37,359
Speaker 1: and then stand up and do something about it. Well,

709
00:39:37,400 --> 00:39:39,200
Speaker 1: if there is such a thing that lou Dobbs as

710
00:39:39,239 --> 00:39:41,839
Speaker 1: a Joe Biden administration a month or two from now,

711
00:39:41,880 --> 00:39:43,800
Speaker 1: What would you tell Donald Trump to do? What should

712
00:39:43,800 --> 00:39:49,759
Speaker 1: he do with his time and energy? Well, I don't Well,

713
00:39:49,960 --> 00:39:51,600
Speaker 1: first of all, he's going to have to find more

714
00:39:51,640 --> 00:39:54,319
Speaker 1: friends than what he really had. I don't know if

715
00:39:54,560 --> 00:40:00,279
Speaker 1: he's been listening to well he's but his advisers here

716
00:40:00,800 --> 00:40:05,920
Speaker 1: have I think has simply lost their minds. He was

717
00:40:05,960 --> 00:40:11,279
Speaker 1: on the right issue, standing up against the legislation that

718
00:40:11,400 --> 00:40:14,239
Speaker 1: would have given six hundred dollars to people men and

719
00:40:14,280 --> 00:40:17,680
Speaker 1: women across this country whose families are herding along with them,

720
00:40:18,840 --> 00:40:21,400
Speaker 1: and they want to give him six hundred bucks and

721
00:40:21,560 --> 00:40:25,279
Speaker 1: he wants two thousand. He should have stood up for this.

722
00:40:25,640 --> 00:40:28,360
Speaker 1: He shouldn't have signed any bill until they were taken

723
00:40:28,400 --> 00:40:33,200
Speaker 1: care of. I am just so. I have very seldom

724
00:40:33,840 --> 00:40:36,919
Speaker 1: been in disagreement with the president, but this is one

725
00:40:37,000 --> 00:40:40,760
Speaker 1: time where how Populace should have stood up for the people,

726
00:40:41,680 --> 00:40:43,920
Speaker 1: and he chose not to. And I know that he

727
00:40:44,040 --> 00:40:47,799
Speaker 1: has been run over here by the system, by the establishment,

728
00:40:47,920 --> 00:40:52,840
Speaker 1: by the establishment of both parties, Wall Street Corporate America.

729
00:40:53,280 --> 00:40:57,000
Speaker 1: You know, John Terry went around traveling mostly through Europe

730
00:40:57,520 --> 00:41:03,000
Speaker 1: and Asia when he was first off in office, had

731
00:41:03,040 --> 00:41:08,920
Speaker 1: just been sworn in to occupy the Oval Office, and

732
00:41:09,040 --> 00:41:12,360
Speaker 1: he would visit foreign capitals and tell all of the leaders,

733
00:41:12,719 --> 00:41:16,360
Speaker 1: don't worry, We've got this under control. This won't last.

734
00:41:16,880 --> 00:41:22,040
Speaker 1: We were removement. I mean, the Democrats have done exactly

735
00:41:22,120 --> 00:41:25,120
Speaker 1: what they intended to do. They have blocked his agenda

736
00:41:25,200 --> 00:41:27,719
Speaker 1: as best they could. He got a lot done, though,

737
00:41:27,840 --> 00:41:32,040
Speaker 1: more than any president than said Abraham Lincoln in four years.

738
00:41:32,920 --> 00:41:40,560
Speaker 1: But they have succeeded and at least ending. But I

739
00:41:40,560 --> 00:41:45,520
Speaker 1: think was the most successful president since Offen. Yeah. Well,

740
00:41:45,600 --> 00:41:47,920
Speaker 1: Lou Dobbs, we miss watching every night five and seven

741
00:41:47,960 --> 00:41:49,719
Speaker 1: on the Fox Business Network. And if you want the

742
00:41:49,760 --> 00:41:52,719
Speaker 1: best book ever on what the hell us was all

743
00:41:52,760 --> 00:41:55,440
Speaker 1: about these Trump years? What got done? What got accomplished?

744
00:41:55,760 --> 00:41:58,440
Speaker 1: Get the new book by Lou Dobbs, The Trump Century.

745
00:41:58,840 --> 00:42:02,080
Speaker 1: How our president change the course of history forever. I'm

746
00:42:02,120 --> 00:42:03,799
Speaker 1: sure the president is ready. Did you get a lot

747
00:42:03,840 --> 00:42:08,680
Speaker 1: of reaction from him on it? Yeah? What is your might? Respect?

748
00:42:08,800 --> 00:42:11,520
Speaker 1: And I think the the venues and this is no

749
00:42:11,560 --> 00:42:15,279
Speaker 1: matter what does happen over the course of the next month,

750
00:42:16,040 --> 00:42:19,520
Speaker 1: we're going to we are going to be the beneficiaries

751
00:42:19,520 --> 00:42:23,799
Speaker 1: of a great presidential administration that has laid a new

752
00:42:23,840 --> 00:42:28,360
Speaker 1: course for American presidents, and it will lass for years

753
00:42:28,480 --> 00:42:33,680
Speaker 1: the judiciary the way in which he demanded and insisted

754
00:42:33,840 --> 00:42:37,280
Speaker 1: upon balanced trade. You no longer even hear the expression

755
00:42:37,360 --> 00:42:40,400
Speaker 1: from the left or the right about free trade, because

756
00:42:41,360 --> 00:42:44,560
Speaker 1: we now know it costs a lot of money to

757
00:42:44,719 --> 00:42:48,359
Speaker 1: feed corporate American Wall Street with our tax dollars and

758
00:42:48,840 --> 00:42:53,440
Speaker 1: trade disadvantages. Yeah. Well, Lou Dobbs, can't wait for you

759
00:42:53,440 --> 00:42:55,839
Speaker 1: to get back on the Fox Business Network. Everybody get

760
00:42:55,880 --> 00:42:59,120
Speaker 1: the book by Lou Dobbs, bestseller, great book, The Trump Century,

761
00:42:59,600 --> 00:43:03,759
Speaker 1: all about the accomplisas of Donald Trump. Mark, let me

762
00:43:03,800 --> 00:43:07,040
Speaker 1: have one more week to daycation, Just one more week,

763
00:43:08,880 --> 00:43:10,279
Speaker 1: one more week, but then you got to get back.

764
00:43:10,320 --> 00:43:12,600
Speaker 1: We need you, Loue Dabs, Thanks for being with us.

765
00:43:13,080 --> 00:43:17,440
Speaker 1: Take care a great book, The Trump Century. Hey, it's more.

766
00:43:17,480 --> 00:43:19,080
Speaker 1: We'll take some calls to me. One eight hundred and

767
00:43:19,160 --> 00:43:24,359
Speaker 1: nine for one, Sean. It's Mark Simone here for Sean Hannity. Hey,

768
00:43:24,400 --> 00:43:28,240
Speaker 1: it's a Sean Hannity show. Mark Simone here for Sean.

769
00:43:28,360 --> 00:43:30,720
Speaker 1: One eight hundred and nine for one Sean is the number.

770
00:43:30,719 --> 00:43:33,000
Speaker 1: One eight hundred nine for one Sean. Let's take a

771
00:43:33,000 --> 00:43:35,640
Speaker 1: calleg too. Let's go to skip in Arizona. Skip what's

772
00:43:35,640 --> 00:43:39,520
Speaker 1: going on at there? Hey, Mark, appreciate you taking over

773
00:43:39,560 --> 00:43:41,719
Speaker 1: for Sean here today. And I've been just listening to

774
00:43:41,760 --> 00:43:44,719
Speaker 1: your program, and I agree one hundred percent with your

775
00:43:44,719 --> 00:43:49,040
Speaker 1: previous guests there. You know, Blue Dabs. It just sounds

776
00:43:49,040 --> 00:43:52,600
Speaker 1: like he's he's writing key, he's standing up and fighting

777
00:43:52,960 --> 00:43:56,640
Speaker 1: for US citizens out here. I can't tell you how

778
00:43:56,719 --> 00:44:00,680
Speaker 1: frustrating it is to listen to talk radio, conservative talk

779
00:44:00,760 --> 00:44:03,960
Speaker 1: radio and listen to people that are just going along

780
00:44:03,960 --> 00:44:06,600
Speaker 1: with it and not leading us. We need leaders, you know.

781
00:44:07,360 --> 00:44:10,280
Speaker 1: Let's take the Georgia's thing. Even if we do win Georgia,

782
00:44:10,400 --> 00:44:14,439
Speaker 1: we have too many rhinos in elected positions right now

783
00:44:14,480 --> 00:44:20,040
Speaker 1: to do anything. These guys will only grandstands, hold back

784
00:44:20,280 --> 00:44:24,280
Speaker 1: to get attention through causing. You'll look at Mitt Romney,

785
00:44:24,400 --> 00:44:27,879
Speaker 1: I'm from Arizona, Look at MCKI, look at Slate. Those

786
00:44:27,920 --> 00:44:32,040
Speaker 1: guys are nothing more than just a least of our votes.

787
00:44:32,360 --> 00:44:35,520
Speaker 1: All right, good point. Thanks for calling term limits. That's

788
00:44:35,560 --> 00:44:38,480
Speaker 1: one thing we definitely need. Hey, when we come back,

789
00:44:38,520 --> 00:44:40,879
Speaker 1: a lot of our great TV hosts aren't around this week,

790
00:44:40,880 --> 00:44:43,239
Speaker 1: they're on vacations. So we've invited him here. We'll talk

791
00:44:43,280 --> 00:44:46,600
Speaker 1: to Bill O'Reilly next, see what he's got to say.

792
00:44:46,640 --> 00:44:50,279
Speaker 1: It's Mark Simone here for Sean Hannity. Back in just

793
00:44:50,320 --> 00:44:52,879
Speaker 1: a bit, it's Mark Simone here for Sean Hannity. It's

794
00:44:52,880 --> 00:44:55,640
Speaker 1: the Sean Hannity Show. Another problem with these two weeks here,

795
00:44:55,680 --> 00:44:58,560
Speaker 1: all of our best and our favorite hosts are off

796
00:44:58,600 --> 00:45:02,200
Speaker 1: the air on vacation, and so we invited a bunch

797
00:45:02,200 --> 00:45:04,320
Speaker 1: of them on because we got it. We need some guidance,

798
00:45:04,360 --> 00:45:07,080
Speaker 1: we need to know as I have, somebody explain all

799
00:45:07,120 --> 00:45:09,880
Speaker 1: this to us. So Bill O'Reilly's probably had the number

800
00:45:09,880 --> 00:45:12,879
Speaker 1: one top growing website of the year twenty twenty. Bill

801
00:45:12,920 --> 00:45:15,799
Speaker 1: O'Reilly dot com. You can watch the TV show every night.

802
00:45:15,840 --> 00:45:18,080
Speaker 1: You can get the message of the day. Get his

803
00:45:18,160 --> 00:45:21,399
Speaker 1: book obviously, Killing Crazy Horse, huge bestseller. If you haven't

804
00:45:21,440 --> 00:45:23,759
Speaker 1: read that yet, get that. But you can order the

805
00:45:23,760 --> 00:45:26,200
Speaker 1: new book, Killing the Mob. It's about to come out,

806
00:45:26,960 --> 00:45:29,080
Speaker 1: and we've got them with us right now. The simple man,

807
00:45:29,200 --> 00:45:32,480
Speaker 1: Bill O'Reilly, how are you doing good? You know it's

808
00:45:32,520 --> 00:45:35,080
Speaker 1: ironic that you just mentioned killing a mob. I'm just

809
00:45:35,160 --> 00:45:39,640
Speaker 1: going over the final pass. There'll be an fourth and

810
00:45:39,719 --> 00:45:42,640
Speaker 1: I'm going over correcting, you know, any of the typos

811
00:45:42,719 --> 00:45:46,200
Speaker 1: or anything like that and it's pretty good. I mean

812
00:45:46,239 --> 00:45:48,040
Speaker 1: it's like crazy Horse. You know, it's one of those

813
00:45:48,040 --> 00:45:50,920
Speaker 1: books where you pick it up and it's hard to

814
00:45:50,920 --> 00:45:54,160
Speaker 1: put it down. A lot of information coming your way

815
00:45:54,400 --> 00:45:58,440
Speaker 1: to get that son coming for Hannity Simone, and what

816
00:45:58,560 --> 00:46:01,000
Speaker 1: do you want to know? I'm ready, I'm ready to go.

817
00:46:01,680 --> 00:46:04,680
Speaker 1: All right, how's this for your next book? Killing the

818
00:46:04,680 --> 00:46:08,719
Speaker 1: Swamp Invader, about how the swamp rose up and got

819
00:46:09,080 --> 00:46:11,719
Speaker 1: tried to stop Donald Trump? I can tell you don't

820
00:46:11,719 --> 00:46:13,840
Speaker 1: like it? All right, No, I love it, but it

821
00:46:13,880 --> 00:46:17,600
Speaker 1: would be two thousand pages, so I make dust Dooyevsky

822
00:46:17,760 --> 00:46:24,759
Speaker 1: look um brief. When you're walking around this every does

823
00:46:24,800 --> 00:46:28,400
Speaker 1: everybody come up to you and say, oh, I was

824
00:46:28,400 --> 00:46:30,160
Speaker 1: just gonna ask you. Does everybody everybody come up to

825
00:46:30,200 --> 00:46:31,799
Speaker 1: you every second and say, you know what you should write?

826
00:46:31,800 --> 00:46:33,839
Speaker 1: How about killing this? How about killing You must hear

827
00:46:33,880 --> 00:46:40,080
Speaker 1: that all day. Killing journalism is real, real hot right now? Um.

828
00:46:40,520 --> 00:46:43,840
Speaker 1: I mean journalism committed suicide. So I don't have to

829
00:46:43,960 --> 00:46:47,480
Speaker 1: kill it. Um. But you know a lot of Americans.

830
00:46:47,640 --> 00:46:49,839
Speaker 1: I get a ton of mail now because I'm doing

831
00:46:50,320 --> 00:46:53,480
Speaker 1: Bill O'Reilly dot com TV, and then we're doing radio,

832
00:46:53,560 --> 00:46:56,640
Speaker 1: syndicated radio, So I really get a lot of mail,

833
00:46:57,239 --> 00:47:02,279
Speaker 1: and they don't understand the American voter. And these are

834
00:47:02,360 --> 00:47:06,719
Speaker 1: good people who pay attention. They don't understand how the

835
00:47:06,880 --> 00:47:12,360
Speaker 1: system in Washington works. So let's take the election because

836
00:47:12,360 --> 00:47:17,600
Speaker 1: that's the best example. So people would naturally say, on

837
00:47:17,640 --> 00:47:23,640
Speaker 1: both sides, if there's an accusation that rises that there

838
00:47:23,719 --> 00:47:27,400
Speaker 1: was fraud in the election, shouldn't the federal government want

839
00:47:27,480 --> 00:47:32,960
Speaker 1: to know that? Therefore a point a federal official or

840
00:47:33,080 --> 00:47:36,680
Speaker 1: special counsel to look into it and bring in the

841
00:47:36,800 --> 00:47:40,200
Speaker 1: resources needed to straighten it out one way or the other.

842
00:47:40,400 --> 00:47:46,839
Speaker 1: Isn't that a logical supposition? Yes, But also if you're

843
00:47:46,840 --> 00:47:49,040
Speaker 1: a Supreme Court justice, you might say we should take

844
00:47:49,040 --> 00:47:51,239
Speaker 1: a look at the case. But then you think I'll

845
00:47:51,239 --> 00:47:54,319
Speaker 1: have protesters screaming all around my house for the next

846
00:47:54,320 --> 00:47:59,360
Speaker 1: six months. But it's a different story there the Supreme Court,

847
00:47:59,520 --> 00:48:02,800
Speaker 1: and I said this very early on on your wo

848
00:48:03,120 --> 00:48:07,600
Speaker 1: R program in New York City. Spring Court is not

849
00:48:07,640 --> 00:48:10,960
Speaker 1: going to put himself in a position to overturn a

850
00:48:11,080 --> 00:48:17,920
Speaker 1: vote unless there's overwhelming evidence. Keyword overwhelming. But right now

851
00:48:17,960 --> 00:48:21,760
Speaker 1: there isn't. Doesn't mean there won't be in a month.

852
00:48:22,640 --> 00:48:25,920
Speaker 1: If analytics were brought into the mail in votes and

853
00:48:26,360 --> 00:48:30,560
Speaker 1: forensics bought brought into some voting machine. There could be

854
00:48:30,680 --> 00:48:35,640
Speaker 1: overwhelming evidence, but right now the Supreme courts as well,

855
00:48:36,080 --> 00:48:38,480
Speaker 1: we haven't seen that, so we're not going to do anything.

856
00:48:38,520 --> 00:48:43,279
Speaker 1: I understand that. I don't see that as corrupt. What

857
00:48:43,400 --> 00:48:47,920
Speaker 1: I do see is corrupt is the Justice Department saying

858
00:48:48,800 --> 00:48:52,480
Speaker 1: we're not gonna appoint a special counsel to look into

859
00:48:52,520 --> 00:48:56,440
Speaker 1: any of these allegations. Why that's what you're there for.

860
00:48:57,760 --> 00:49:02,440
Speaker 1: You're there to make sure the American people have confidence

861
00:49:02,640 --> 00:49:06,520
Speaker 1: in the justice system. And if there's a crime in

862
00:49:06,560 --> 00:49:11,239
Speaker 1: a major election, that's under your house. So why don't

863
00:49:11,239 --> 00:49:15,719
Speaker 1: you do it? I remember Trump or Biden can't appoint

864
00:49:16,600 --> 00:49:21,600
Speaker 1: a special counsel, has to come from the Attorney General.

865
00:49:22,160 --> 00:49:25,799
Speaker 1: So Barr he quit without doing it. Now he got

866
00:49:25,840 --> 00:49:27,759
Speaker 1: some guy in here I don't even remember his name.

867
00:49:28,160 --> 00:49:33,279
Speaker 1: On a tempt basis, he should do it, but I

868
00:49:33,280 --> 00:49:36,520
Speaker 1: don't think he will. Well, if you're that guy, in

869
00:49:36,600 --> 00:49:38,040
Speaker 1: three weeks from an hour, a month from now, you

870
00:49:38,080 --> 00:49:39,720
Speaker 1: gonna be out of work and looking for a job.

871
00:49:40,080 --> 00:49:41,799
Speaker 1: When you say to yourself, I better not do this,

872
00:49:41,920 --> 00:49:45,879
Speaker 1: or the swamp will never hire me for anything. Absolutely

873
00:49:45,920 --> 00:49:50,440
Speaker 1: an excellent point. That's one of the big reasons that

874
00:49:50,719 --> 00:49:55,239
Speaker 1: Washington doesn't turn on itself. No one wants to be

875
00:49:55,320 --> 00:49:59,440
Speaker 1: a pariah word of the day, pariah. So that if

876
00:49:59,440 --> 00:50:02,319
Speaker 1: you go a end the system and you say, you know,

877
00:50:02,320 --> 00:50:05,480
Speaker 1: I'm going to get to the bottom of corruption one

878
00:50:05,520 --> 00:50:10,520
Speaker 1: way or the other, then the system goes you're too dangerous.

879
00:50:11,200 --> 00:50:14,800
Speaker 1: We don't want you around, and you're not going to

880
00:50:14,840 --> 00:50:21,000
Speaker 1: be considered for any jobs in Washington, DC. And that

881
00:50:21,200 --> 00:50:24,480
Speaker 1: certainly is an inhibitor, no doubt about it. That's what

882
00:50:24,600 --> 00:50:27,560
Speaker 1: you see in Hollywood. So there are a lot of

883
00:50:27,560 --> 00:50:31,200
Speaker 1: performers I know them, you know them, who aren't left

884
00:50:31,200 --> 00:50:34,759
Speaker 1: wing looms. But you open your mouth and you go

885
00:50:34,840 --> 00:50:39,680
Speaker 1: against the Steven Spielberg's of the world, you're not going

886
00:50:39,719 --> 00:50:43,760
Speaker 1: to work. And that's why you don't hear anything other

887
00:50:43,840 --> 00:50:48,560
Speaker 1: than from Hollywood, the standard left wing line and the

888
00:50:48,640 --> 00:50:52,640
Speaker 1: people who jump into that they're looking for work. I mean,

889
00:50:52,680 --> 00:50:57,600
Speaker 1: would anybody on earth know who Alyssa Milano was. No,

890
00:50:59,600 --> 00:51:03,080
Speaker 1: It's it's almost like this is a career path. I'll

891
00:51:03,120 --> 00:51:05,719
Speaker 1: be a left wing loon and someone will hire me

892
00:51:06,120 --> 00:51:10,480
Speaker 1: for an acting job. So this is the country in

893
00:51:10,520 --> 00:51:14,799
Speaker 1: which we live. Hey, if Bill O'Reilly if there's a

894
00:51:14,800 --> 00:51:17,480
Speaker 1: Biden administration, what happens to the New York Times or

895
00:51:17,600 --> 00:51:21,799
Speaker 1: MSNBC or CNN six months from now, what do they do? Well,

896
00:51:21,800 --> 00:51:28,160
Speaker 1: there will be a Biden administration and all media is

897
00:51:28,200 --> 00:51:34,440
Speaker 1: going to lose a tremendous amount of revenue because on

898
00:51:34,520 --> 00:51:37,719
Speaker 1: television people are going to tune out. You know this

899
00:51:37,920 --> 00:51:42,920
Speaker 1: brave Christmas New Year's break. A lot of people aren't

900
00:51:42,960 --> 00:51:48,480
Speaker 1: watching television news. They need a break themselves. And you

901
00:51:48,560 --> 00:51:52,400
Speaker 1: think you're coming back, coming back for what now you

902
00:51:52,520 --> 00:51:56,200
Speaker 1: have on the fifth at Georgia election. People will come

903
00:51:56,239 --> 00:52:00,439
Speaker 1: back for that. But once the COVID thing it's under

904
00:52:00,440 --> 00:52:04,960
Speaker 1: control of the vaccine, and once Biden takes over, what

905
00:52:05,040 --> 00:52:08,520
Speaker 1: are they going to talk about? For the last four years,

906
00:52:08,560 --> 00:52:12,319
Speaker 1: five years, it's been all Trump all the time. What

907
00:52:12,400 --> 00:52:16,000
Speaker 1: are you going to replace Trump with? So there's going

908
00:52:16,040 --> 00:52:21,480
Speaker 1: to be a dramatic drop in viewers and readers in

909
00:52:21,520 --> 00:52:24,600
Speaker 1: all media, and you mark my words, that is going

910
00:52:24,680 --> 00:52:30,200
Speaker 1: to happen in twenty twenty one. But Bill O'Reilly, you've

911
00:52:30,239 --> 00:52:32,400
Speaker 1: set records for being number one in cable news. What

912
00:52:32,480 --> 00:52:34,680
Speaker 1: do you talk about if you're them? Without Trump? What

913
00:52:36,080 --> 00:52:39,480
Speaker 1: is there anything even possible they could talk about Yeah.

914
00:52:39,560 --> 00:52:41,600
Speaker 1: I mean I'm doing it on Bill O'Reilly dot com.

915
00:52:41,640 --> 00:52:45,000
Speaker 1: We've had the best year of any news service online

916
00:52:45,120 --> 00:52:48,920
Speaker 1: in the history of the world. I mean, our business

917
00:52:49,360 --> 00:52:52,200
Speaker 1: is as robust as you can possibly imagine. And I

918
00:52:52,239 --> 00:52:54,680
Speaker 1: don't do all Trump all the time. I'll give you

919
00:52:54,719 --> 00:53:01,719
Speaker 1: an example. The San Francisco Board of Education just voted

920
00:53:02,600 --> 00:53:05,480
Speaker 1: to knock out Abraham Lincoln's name on our high school.

921
00:53:06,719 --> 00:53:12,640
Speaker 1: That's my lead story. What is that? I think San Francisco,

922
00:53:13,360 --> 00:53:16,200
Speaker 1: the city in the county, has left America. They're not

923
00:53:16,280 --> 00:53:20,760
Speaker 1: They're not Americans anymore. They're gone. That's a different whatever

924
00:53:20,800 --> 00:53:23,120
Speaker 1: that is out there, it's not part of the fabric

925
00:53:23,200 --> 00:53:30,319
Speaker 1: of the United States. Abraham Lincoln, you're trashing him. That

926
00:53:30,520 --> 00:53:34,240
Speaker 1: was my lead story. And for the past twenty five years,

927
00:53:34,680 --> 00:53:38,600
Speaker 1: that's what I've done on my programs, radio and television.

928
00:53:39,280 --> 00:53:42,279
Speaker 1: I take a seam, I take a story that all

929
00:53:42,320 --> 00:53:48,080
Speaker 1: Americans can understand, and I drive it into a bigger forum.

930
00:53:49,480 --> 00:53:52,920
Speaker 1: And that was the key to my success, or is

931
00:53:52,960 --> 00:53:56,960
Speaker 1: the key to my success, Bill Rowley, can you explain

932
00:53:57,000 --> 00:53:59,520
Speaker 1: the liberal mind of a take A guy like Andrew

933
00:53:59,560 --> 00:54:03,160
Speaker 1: Cuomo was supposedly a sort of a mainstream politician. He

934
00:54:03,280 --> 00:54:05,760
Speaker 1: lets all the prisoners out without bail, gets the biggest

935
00:54:05,760 --> 00:54:08,760
Speaker 1: crime spike ever. Never occursed him to reverse the policy.

936
00:54:09,280 --> 00:54:12,480
Speaker 1: His economic policy's bankrupted, the whole state. Never occursed him

937
00:54:12,480 --> 00:54:17,439
Speaker 1: to reverse anything. Well, what is the mentality of that?

938
00:54:17,440 --> 00:54:21,520
Speaker 1: That's another excellent question, simone. You're really on your game today.

939
00:54:22,080 --> 00:54:28,399
Speaker 1: So Cuomo's assistant or one of his personnel, walks out

940
00:54:28,400 --> 00:54:32,160
Speaker 1: of her home a couple of days ago, and some

941
00:54:32,280 --> 00:54:33,920
Speaker 1: guy comes up and hits her in the head with

942
00:54:34,000 --> 00:54:39,080
Speaker 1: a piece of concrete. You read about that, right, yeah, yeah,

943
00:54:39,160 --> 00:54:43,759
Speaker 1: right near his office. Yeah, could have killed it all right.

944
00:54:43,840 --> 00:54:47,719
Speaker 1: Rick Moran as the actor walking down to his apartment

945
00:54:48,200 --> 00:54:51,960
Speaker 1: and gets punched in a face. No reason for either

946
00:54:52,000 --> 00:54:57,920
Speaker 1: of those two things. When you let criminals and mentally

947
00:54:58,040 --> 00:55:02,640
Speaker 1: ill people run wild, what do you think you're gonna have?

948
00:55:04,239 --> 00:55:06,920
Speaker 1: I was a high school teacher. If I didn't impose

949
00:55:07,040 --> 00:55:11,480
Speaker 1: discipline on my class, I couldn't teach. It was anarchy.

950
00:55:13,160 --> 00:55:16,960
Speaker 1: If you don't impose discipline on your city or county,

951
00:55:17,320 --> 00:55:19,200
Speaker 1: the criminals are going to come out and do what

952
00:55:19,239 --> 00:55:23,200
Speaker 1: they're doing in New York City, in Chicago, in Portland, Oregon,

953
00:55:23,280 --> 00:55:26,040
Speaker 1: in Seattle and San Francisco and Los Angeles, and on

954
00:55:26,120 --> 00:55:31,840
Speaker 1: and on. Clomo knows this. The Cuomo's lust for power

955
00:55:33,120 --> 00:55:38,920
Speaker 1: is so strong. He knows the winds are in New

956
00:55:39,000 --> 00:55:44,400
Speaker 1: York are left, far left, So his kite is up

957
00:55:44,480 --> 00:55:49,640
Speaker 1: in the air going in that direction. But the downside

958
00:55:49,800 --> 00:55:52,719
Speaker 1: is that the state and City of New York is

959
00:55:52,800 --> 00:55:57,719
Speaker 1: deteriorating so fast that's going to ultimately lined up in

960
00:55:57,800 --> 00:56:03,160
Speaker 1: Clomo's lap because he's in charge, and there's no one

961
00:56:03,239 --> 00:56:06,560
Speaker 1: on this earth that can tell you that the city

962
00:56:06,560 --> 00:56:11,160
Speaker 1: and state of New York is prospering. They're losing millions

963
00:56:11,160 --> 00:56:15,879
Speaker 1: of people packing up and getting out. Same thing in California,

964
00:56:16,280 --> 00:56:21,120
Speaker 1: same thing in Los Angeles. So the guys in charge,

965
00:56:21,239 --> 00:56:30,040
Speaker 1: short term game, long term pain, go out and Bill O'Reilly,

966
00:56:30,280 --> 00:56:34,120
Speaker 1: you're coming back next Monday. I'll be back on the fourth.

967
00:56:34,200 --> 00:56:37,839
Speaker 1: But what we're doing, we've opened up the year ender

968
00:56:37,960 --> 00:56:41,040
Speaker 1: on bill O'Reilly dot com for everybody. You don't have

969
00:56:41,080 --> 00:56:44,799
Speaker 1: to be a subscriber to the service, just go there.

970
00:56:45,280 --> 00:56:47,480
Speaker 1: You can see what I've done on the year ender.

971
00:56:48,080 --> 00:56:51,359
Speaker 1: I think you'll be impressed. That'll be something you can

972
00:56:51,400 --> 00:56:55,360
Speaker 1: do over the break that will entertain and inform you.

973
00:56:56,040 --> 00:56:58,840
Speaker 1: And then on the fourth we'll be back with a

974
00:56:58,960 --> 00:57:03,600
Speaker 1: rip roar in opener for the year two twenty one,

975
00:57:03,680 --> 00:57:06,439
Speaker 1: which has to be better than this year. I think

976
00:57:06,480 --> 00:57:10,719
Speaker 1: this is the worst year in US history. Um, you know,

977
00:57:10,760 --> 00:57:15,240
Speaker 1: the Civil War is pretty rough, but twenty twenty certainly

978
00:57:15,520 --> 00:57:18,720
Speaker 1: in modern times, this is the worst year, worse than

979
00:57:18,800 --> 00:57:22,560
Speaker 1: nineteen twenty nine, the depression year. We've got to be

980
00:57:22,560 --> 00:57:26,240
Speaker 1: better next year. But there's so much uncertainty, so many

981
00:57:26,280 --> 00:57:30,320
Speaker 1: things that could go wrong, and we have very weak

982
00:57:30,400 --> 00:57:36,720
Speaker 1: leadership coming in, extremely weak leadership coming in. Well, everybody

983
00:57:36,720 --> 00:57:38,440
Speaker 1: go to bill O'Reilly dot comes. A lot of great

984
00:57:38,440 --> 00:57:41,280
Speaker 1: stuff there, the TV show, the books, the message of

985
00:57:41,280 --> 00:57:43,840
Speaker 1: the Day, and also all this week people can go

986
00:57:43,920 --> 00:57:48,640
Speaker 1: absolutely free and look at everything, sample everything bill O'Reilly

987
00:57:49,360 --> 00:57:52,400
Speaker 1: dot com. If you got that little gift card and

988
00:57:52,440 --> 00:57:55,920
Speaker 1: you're stocking, you're Christmas stocking, Yeah, right on out there.

989
00:57:55,920 --> 00:58:00,560
Speaker 1: And by killing Crazyhorse because that will entertain and inform

990
00:58:00,640 --> 00:58:03,760
Speaker 1: you so you'll be sad, yeah until New Year's Eve

991
00:58:03,800 --> 00:58:06,640
Speaker 1: when nobody's going out anyway. And like a lot of

992
00:58:06,680 --> 00:58:09,360
Speaker 1: the bill O'Reilly books, interesting fashionating history, but a lot

993
00:58:09,440 --> 00:58:12,360
Speaker 1: of lessons you can learn about today in there. And

994
00:58:12,880 --> 00:58:15,040
Speaker 1: the new book is Killing the Mob. You can preorder

995
00:58:15,080 --> 00:58:16,720
Speaker 1: that and be one of the first to get it

996
00:58:16,840 --> 00:58:19,640
Speaker 1: killing the mob. Just go to Bill O'Reilly dot com.

997
00:58:19,720 --> 00:58:22,960
Speaker 1: You get everything there Bill O'Reilly dot com and Bill O'Reilly.

998
00:58:23,040 --> 00:58:26,080
Speaker 1: Thanks for being with us. All right, Mark, Happy New Year,

999
00:58:26,320 --> 00:58:31,400
Speaker 1: we'll talk to Happy New Year. Take care, yeah to

1000
00:58:31,400 --> 00:58:33,480
Speaker 1: say it. It's the end of the year twenty and twenty. Hey,

1001
00:58:33,520 --> 00:58:35,560
Speaker 1: a lot of stuff happened at twenty twenty. We've all

1002
00:58:35,600 --> 00:58:38,720
Speaker 1: forgotten about. Big stories of the year, totally forgotten about.

1003
00:58:38,840 --> 00:58:41,360
Speaker 1: We'll go over them a little later on in the program.

1004
00:58:41,480 --> 00:58:44,080
Speaker 1: We'll take some calls. One eight hundred and nine four one.

1005
00:58:44,200 --> 00:58:49,640
Speaker 1: Sean is the number. It's Mark Simone here for Sean Hannity. Hey,

1006
00:58:49,640 --> 00:58:52,760
Speaker 1: welcome back. It's the Sean Hannity Show. Mark Simone here

1007
00:58:52,800 --> 00:58:55,320
Speaker 1: for Sean. Normally you hear me on our big flagship

1008
00:58:55,360 --> 00:58:58,040
Speaker 1: station wore in New York, and you can follow me

1009
00:58:58,080 --> 00:59:01,880
Speaker 1: on Twitter and parlor and Instagram. Let's just go to

1010
00:59:01,920 --> 00:59:04,120
Speaker 1: Mark Simone dot com. There's a button here you can

1011
00:59:04,160 --> 00:59:06,920
Speaker 1: sign up for everything. Hey, we like to bring you,

1012
00:59:06,960 --> 00:59:09,040
Speaker 1: and we've been doing it throughout the program. The smartest

1013
00:59:09,040 --> 00:59:13,400
Speaker 1: people in America Peter Navarro, the Great White House Trade Advisor.

1014
00:59:13,600 --> 00:59:16,880
Speaker 1: It's written a very important white paper on the election.

1015
00:59:17,560 --> 00:59:20,400
Speaker 1: We'll talk about the election. We'll talk about China and

1016
00:59:20,760 --> 00:59:23,320
Speaker 1: what's going to happen there. Peter Navarro, how are you

1017
00:59:24,840 --> 00:59:26,560
Speaker 1: a little? It is great? How are you there? In

1018
00:59:26,840 --> 00:59:31,280
Speaker 1: the big Apple? Is mother Deblasio taking good care of

1019
00:59:31,360 --> 00:59:34,360
Speaker 1: the city there? Well? As you may know, we're a

1020
00:59:34,360 --> 00:59:38,920
Speaker 1: total mess between Deblasio and Cuomo. It's empty, the biggest

1021
00:59:38,960 --> 00:59:43,040
Speaker 1: crime spike in history, It's broke. It's a mess. Hey,

1022
00:59:43,320 --> 00:59:47,040
Speaker 1: explain the democratic mind to me? After watching everything fail

1023
00:59:47,080 --> 00:59:49,120
Speaker 1: in the whole city as a disaster, how come they

1024
00:59:49,120 --> 00:59:52,880
Speaker 1: don't say, maybe we should change this policy. It's all

1025
00:59:52,920 --> 00:59:56,919
Speaker 1: about It's like the dog chase in the car, right,

1026
00:59:56,920 --> 00:59:58,880
Speaker 1: They chase power and then once they get it, they

1027
00:59:58,880 --> 01:00:01,960
Speaker 1: don't know what to do with it. Naturally we got

1028
01:00:02,000 --> 01:00:07,760
Speaker 1: with with with Bill and and mister Cuomo there. Yeah,

1029
01:00:07,800 --> 01:00:10,760
Speaker 1: it's a it's a disaster. I mean it's the same.

1030
01:00:10,880 --> 01:00:13,720
Speaker 1: But you know, I'm glad you mentioned this, this work

1031
01:00:13,800 --> 01:00:18,680
Speaker 1: I'm doing on the election irregularity, because I did do

1032
01:00:18,920 --> 01:00:23,480
Speaker 1: a deep dive. I wrote this report called the Immaculate Deception,

1033
01:00:23,880 --> 01:00:28,640
Speaker 1: and it I think it shows in controvertibly that this

1034
01:00:28,800 --> 01:00:32,480
Speaker 1: election was stolen from Donald J. Trump, that was done

1035
01:00:33,160 --> 01:00:38,040
Speaker 1: very sophisticated strategy. The strategy, mark is the Democrats set

1036
01:00:38,080 --> 01:00:41,880
Speaker 1: out several and some years ago to do this. But

1037
01:00:41,920 --> 01:00:45,120
Speaker 1: it's basically think about it this way. The strategy is

1038
01:00:45,160 --> 01:00:49,440
Speaker 1: the stuff the ballot box with absentee and mail in

1039
01:00:49,600 --> 01:00:54,120
Speaker 1: ballots so as to boost the Democratic turnout. Right. And

1040
01:00:54,200 --> 01:00:57,520
Speaker 1: so in one sense they had a way to actually

1041
01:00:57,840 --> 01:01:03,160
Speaker 1: increase the number of ballots coming in, but at the

1042
01:01:03,200 --> 01:01:06,040
Speaker 1: same time the ones that came in often which which

1043
01:01:06,040 --> 01:01:09,760
Speaker 1: should have been rejected. They had also had mechanisms in

1044
01:01:09,840 --> 01:01:15,280
Speaker 1: place basically to reduce the amount of ballots that would

1045
01:01:15,360 --> 01:01:19,400
Speaker 1: otherwise normally and legally be rejected. And so if you

1046
01:01:19,480 --> 01:01:26,400
Speaker 1: look across these six states Arizona, Georgia, Michigan, Nevada, Pennsylvania,

1047
01:01:26,440 --> 01:01:31,880
Speaker 1: in Wisconsin, what you see are very very lasers in

1048
01:01:33,240 --> 01:01:39,120
Speaker 1: alleged victory Martin Margins by Joe Biden. And basically, if

1049
01:01:39,120 --> 01:01:41,160
Speaker 1: I can mixed metaphors a little bit, it's kind of

1050
01:01:41,200 --> 01:01:46,760
Speaker 1: like a giant point shaving, the revote shaving scandal, whereby

1051
01:01:47,000 --> 01:01:51,760
Speaker 1: they used these these these different categories of election irregularities.

1052
01:01:51,800 --> 01:01:54,680
Speaker 1: I mean, only one of it was outright fraud, and

1053
01:01:54,920 --> 01:01:58,320
Speaker 1: there was there was plenty of that but you had

1054
01:01:58,440 --> 01:02:02,240
Speaker 1: ballot and mishandling, you had do process file, you had

1055
01:02:02,320 --> 01:02:07,360
Speaker 1: equal protection violations, you had voting machine irregularities, and you

1056
01:02:07,440 --> 01:02:12,760
Speaker 1: had statistical anomalies like precincts having greater than one hundred

1057
01:02:12,840 --> 01:02:17,600
Speaker 1: percent voter turnout. Right. And so there's a great chart

1058
01:02:17,760 --> 01:02:21,080
Speaker 1: mark in the in the report immaculate deception. It's only

1059
01:02:21,320 --> 01:02:23,160
Speaker 1: you can get at Google it or you'll find it.

1060
01:02:23,840 --> 01:02:27,400
Speaker 1: But what it shows is the six battleground states at

1061
01:02:27,400 --> 01:02:31,080
Speaker 1: the tops across the road. And then now the columns

1062
01:02:31,080 --> 01:02:34,440
Speaker 1: these six regularities, and if there's a check market in

1063
01:02:34,480 --> 01:02:37,200
Speaker 1: the box, that means that one of those regularities was

1064
01:02:37,240 --> 01:02:39,760
Speaker 1: in one of those states. And guess what, it's a

1065
01:02:39,840 --> 01:02:43,520
Speaker 1: sea of check marks. And so if I take you

1066
01:02:43,600 --> 01:02:48,440
Speaker 1: down to Georgia, for example, that's about a twelve thousand

1067
01:02:49,160 --> 01:02:54,840
Speaker 1: vote alleged victory margin by Biden. Right. And so one

1068
01:02:54,840 --> 01:02:57,680
Speaker 1: of the things they did, unfortunately with the help of

1069
01:02:59,400 --> 01:03:05,800
Speaker 1: m mister recall please the governor Kemp, was they entered

1070
01:03:05,800 --> 01:03:11,760
Speaker 1: into this consent decree which effectively stopped checking the signatures

1071
01:03:11,800 --> 01:03:14,120
Speaker 1: of ballots that were sent in. So they went from

1072
01:03:14,160 --> 01:03:18,520
Speaker 1: like a six percent rejection rate of absentee ballots down

1073
01:03:18,600 --> 01:03:24,120
Speaker 1: to zero effectively. And that alone, Mark, that alone is

1074
01:03:24,240 --> 01:03:30,120
Speaker 1: enough persuade that election. And I'm telling you, Georgia, Sathpool,

1075
01:03:30,600 --> 01:03:33,080
Speaker 1: if they have that election, they break a little news

1076
01:03:33,120 --> 01:03:36,280
Speaker 1: here for you, my friend. They have that election on

1077
01:03:36,480 --> 01:03:40,760
Speaker 1: January fifth, as scheduled without cleaning up all the bad

1078
01:03:40,800 --> 01:03:43,520
Speaker 1: things that are going on down there, We're going to

1079
01:03:43,640 --> 01:03:48,520
Speaker 1: have a Democrat Senate majority there and the next thing

1080
01:03:48,560 --> 01:03:53,680
Speaker 1: you know, it's gonna be the socialist version of Armageddon

1081
01:03:54,680 --> 01:03:59,360
Speaker 1: on Capitol Hill. So anyway, that's that's kind of what

1082
01:03:59,400 --> 01:04:01,840
Speaker 1: I I've been doing. I'm working on a follow up

1083
01:04:01,880 --> 01:04:05,640
Speaker 1: to the report that studies how they did it, how

1084
01:04:05,680 --> 01:04:11,160
Speaker 1: people like Mark Zuckerberg and George Soros were involved, and

1085
01:04:12,160 --> 01:04:16,200
Speaker 1: it reads like a Stephen King novel. My friend, Hey,

1086
01:04:16,440 --> 01:04:18,800
Speaker 1: you said that if it gets cleaned up January fifth,

1087
01:04:19,000 --> 01:04:20,800
Speaker 1: next week, it's not going to get cleaned up. And

1088
01:04:21,200 --> 01:04:24,280
Speaker 1: the governor of Georgia seems to have a really suspiciously

1089
01:04:24,400 --> 01:04:30,400
Speaker 1: close relationship with dominion. How's this ever going to get fixed? Well,

1090
01:04:30,440 --> 01:04:35,840
Speaker 1: I'll tell you what it can. Look. Governor Kemp has

1091
01:04:35,920 --> 01:04:40,800
Speaker 1: the ability to postpone that election. He can do that. Okay,

1092
01:04:41,320 --> 01:04:44,400
Speaker 1: he can do that. He should do that. This other

1093
01:04:44,440 --> 01:04:48,640
Speaker 1: guy Rathlisberg, who's the Secretary of State, is also a Republican.

1094
01:04:48,960 --> 01:04:51,200
Speaker 1: The two of them, I don't know what they're smoking

1095
01:04:51,400 --> 01:04:55,680
Speaker 1: or drinking or who's got lines into their bank account,

1096
01:04:56,120 --> 01:05:00,680
Speaker 1: but they certainly don't support this president in this country.

1097
01:05:01,120 --> 01:05:04,840
Speaker 1: And the legislature down there seems to want to do

1098
01:05:04,920 --> 01:05:09,040
Speaker 1: the right thing, but they can't do it without Wart

1099
01:05:09,120 --> 01:05:11,360
Speaker 1: or both of the help a camp and Rappings book.

1100
01:05:11,400 --> 01:05:13,480
Speaker 1: How don't you telling you, Mark, I mean, it stinks

1101
01:05:13,600 --> 01:05:16,360
Speaker 1: the high heaven and the people of this country should

1102
01:05:16,400 --> 01:05:23,640
Speaker 1: be very, very rightfully outraged at what has happened in

1103
01:05:23,720 --> 01:05:26,560
Speaker 1: this election. We're supposed to be the greatest democracy in

1104
01:05:26,600 --> 01:05:30,760
Speaker 1: world history this side of Athens and Rome, right, and

1105
01:05:31,680 --> 01:05:35,000
Speaker 1: what we have here, I think is almost fifty percent

1106
01:05:35,080 --> 01:05:39,520
Speaker 1: of the American public do not have confidence that that

1107
01:05:39,680 --> 01:05:43,160
Speaker 1: was a fair and free election. And so how can

1108
01:05:43,600 --> 01:05:45,440
Speaker 1: how can we look at each other in the eye?

1109
01:05:45,880 --> 01:05:47,600
Speaker 1: How can we look the rest of the world in

1110
01:05:47,640 --> 01:05:50,640
Speaker 1: the eye. I get up on our soap box and say, yeah,

1111
01:05:50,720 --> 01:05:53,880
Speaker 1: democracy is great. If we can't run an election, I'm

1112
01:05:53,880 --> 01:05:57,360
Speaker 1: telling you that thing. That thing is just riddled, riddled

1113
01:05:57,360 --> 01:06:03,000
Speaker 1: with irregularities, fraud, everything in between. But let's say there

1114
01:06:03,040 --> 01:06:06,240
Speaker 1: is a Biden administration. Let's say there is a Democratic Congress.

1115
01:06:06,400 --> 01:06:07,760
Speaker 1: How are you ever going to fix this? What are

1116
01:06:07,760 --> 01:06:09,200
Speaker 1: you gonna do about big tech? What are you gonna

1117
01:06:09,160 --> 01:06:11,720
Speaker 1: do about the foreign companies and foreign servers? And how

1118
01:06:11,720 --> 01:06:15,320
Speaker 1: are we ever going to get this fixed? Yeah? That's

1119
01:06:15,440 --> 01:06:19,160
Speaker 1: that's that's the reason why we got to make sure

1120
01:06:19,240 --> 01:06:23,320
Speaker 1: that before the inauguration that we get somebody in there

1121
01:06:23,360 --> 01:06:26,680
Speaker 1: who actually got elected with legal votes. And that's Donald Trump. No,

1122
01:06:26,840 --> 01:06:31,040
Speaker 1: I don't look Zuckerberg, that guy alone. I mean the

1123
01:06:31,160 --> 01:06:35,520
Speaker 1: stuff he did on behalf of the Democrat Party. I mean,

1124
01:06:35,560 --> 01:06:37,760
Speaker 1: they're not going to touch him there. They're probably gonna

1125
01:06:38,280 --> 01:06:40,760
Speaker 1: they'll probably give them, give them a trophy and then

1126
01:06:40,800 --> 01:06:43,280
Speaker 1: send them over to England to get knighted. I mean,

1127
01:06:43,640 --> 01:06:48,760
Speaker 1: it's not good. And by the way, uh the way,

1128
01:06:48,800 --> 01:06:54,120
Speaker 1: if Facebook runs, I mean, he can't make this up, okay.

1129
01:06:54,280 --> 01:06:57,160
Speaker 1: I mean one of my big beasts during this election

1130
01:06:57,200 --> 01:07:01,560
Speaker 1: and the aftermath has been the social media mensorship of

1131
01:07:02,280 --> 01:07:07,120
Speaker 1: the conservative movement. Okay, And one of the things Facebook

1132
01:07:07,160 --> 01:07:10,880
Speaker 1: did this is what you can't make up, right. Facebook

1133
01:07:10,960 --> 01:07:17,840
Speaker 1: actually hired Chinese nationals from the Chinese Communist Pardon who

1134
01:07:17,960 --> 01:07:22,920
Speaker 1: had experience working building and maintaining the Great Firewall of China,

1135
01:07:23,040 --> 01:07:29,440
Speaker 1: the worst censoring device in world history, right, and he

1136
01:07:29,560 --> 01:07:34,160
Speaker 1: brought some of those folks over to teach Facebook how

1137
01:07:34,200 --> 01:07:41,840
Speaker 1: to censor conservatives. I mean, what country? What country are

1138
01:07:41,840 --> 01:07:44,000
Speaker 1: we living in? And that's the thing I think. I

1139
01:07:44,040 --> 01:07:46,640
Speaker 1: think there's a lot of people who are listening to

1140
01:07:46,680 --> 01:07:50,440
Speaker 1: the show now watched on on TV, listen to you

1141
01:07:50,640 --> 01:07:54,920
Speaker 1: on WR. I mean they're thinking, like, wait a minute,

1142
01:07:55,280 --> 01:07:58,880
Speaker 1: or am I living in two countries? Like one country

1143
01:07:59,040 --> 01:08:02,680
Speaker 1: is like rational, same people who love the country, to

1144
01:08:02,800 --> 01:08:07,320
Speaker 1: love the flag, just just want to work and do good.

1145
01:08:08,000 --> 01:08:10,400
Speaker 1: And this other part of the country that you know,

1146
01:08:10,520 --> 01:08:12,600
Speaker 1: I don't know what they're up to other than want

1147
01:08:12,680 --> 01:08:17,880
Speaker 1: government handouts and it's just it's it's not and the

1148
01:08:17,920 --> 01:08:22,519
Speaker 1: corporate welfare by the way, and that's you know, segue

1149
01:08:22,600 --> 01:08:24,200
Speaker 1: over to China if you want. Because one of the

1150
01:08:24,240 --> 01:08:27,679
Speaker 1: things I fear if we get an illegitimate and illegal

1151
01:08:27,720 --> 01:08:32,960
Speaker 1: president in Biden is that the same corporations that shipped

1152
01:08:33,000 --> 01:08:37,599
Speaker 1: all our jobs and factories offshore under their under his watch,

1153
01:08:37,720 --> 01:08:40,639
Speaker 1: Biden's watch, because he's going to keep doing that again

1154
01:08:40,720 --> 01:08:42,559
Speaker 1: and go back to the old ways, to be back

1155
01:08:42,560 --> 01:08:46,000
Speaker 1: to the future. Everything goes back to China. Everything's made

1156
01:08:46,000 --> 01:08:49,320
Speaker 1: over there. Hey, let me ask you a question. Are

1157
01:08:49,360 --> 01:08:52,400
Speaker 1: we supposed to believe that in the in this year

1158
01:08:52,400 --> 01:08:55,080
Speaker 1: where a guy rose up and finally stood up to

1159
01:08:55,160 --> 01:08:57,360
Speaker 1: China and took them on and was about to get reelected,

1160
01:08:58,040 --> 01:09:00,479
Speaker 1: that that virus got unleashed and that was all just

1161
01:09:00,560 --> 01:09:07,439
Speaker 1: a big coincidence. You raise an excellent, excellent point. You

1162
01:09:07,439 --> 01:09:11,519
Speaker 1: don't have to answer, well, no, but but one of

1163
01:09:11,560 --> 01:09:15,719
Speaker 1: the things that I wish we would do when we've

1164
01:09:15,720 --> 01:09:20,719
Speaker 1: had great tragedies in our country. One of the things

1165
01:09:20,720 --> 01:09:24,240
Speaker 1: we've done which has been productive is to have a

1166
01:09:24,280 --> 01:09:31,160
Speaker 1: presidential commission to investigate so, you know Kennedy assassination, Pearl Harbor.

1167
01:09:31,320 --> 01:09:32,640
Speaker 1: I don't know if you know this, but we had

1168
01:09:32,680 --> 01:09:35,720
Speaker 1: a president's commission to investigate how that happened, and the

1169
01:09:35,760 --> 01:09:38,920
Speaker 1: most recent one was the BP spill oil spill in

1170
01:09:39,000 --> 01:09:41,400
Speaker 1: the Gulf. I mean, here's here's what we need to

1171
01:09:41,439 --> 01:09:45,400
Speaker 1: do as a country. We need to have a full

1172
01:09:45,439 --> 01:09:49,600
Speaker 1: investigation of how that virus got started. Was it in

1173
01:09:49,720 --> 01:09:53,840
Speaker 1: the biological weapons lab at Wuhan, like some people assert,

1174
01:09:54,720 --> 01:09:59,479
Speaker 1: did it escape by accident or was it was it

1175
01:09:59,600 --> 01:10:05,759
Speaker 1: unlead contentionally? How much has that cost the American people

1176
01:10:05,800 --> 01:10:10,840
Speaker 1: in terms of economic damages, in terms of financial damages

1177
01:10:10,840 --> 01:10:13,240
Speaker 1: with all the stimuluts we have to do, in terms

1178
01:10:13,240 --> 01:10:17,040
Speaker 1: of the cost of human life, how has China Communist

1179
01:10:17,160 --> 01:10:24,599
Speaker 1: China used the pandemic to basically advance its geo political goals.

1180
01:10:24,600 --> 01:10:28,160
Speaker 1: For example, it was it became a simple matter to

1181
01:10:28,320 --> 01:10:33,040
Speaker 1: crush Hong Kong once there were quarantines and the people

1182
01:10:33,040 --> 01:10:35,599
Speaker 1: of Hong Kong could not go out on the streets.

1183
01:10:35,720 --> 01:10:40,080
Speaker 1: China invaded India during this pandemic. And then finally, you know,

1184
01:10:40,120 --> 01:10:42,639
Speaker 1: the big question, you know what they used to call

1185
01:10:42,720 --> 01:10:45,000
Speaker 1: the sixty four thousand dollars question, but this would be

1186
01:10:45,040 --> 01:10:47,920
Speaker 1: more like the twenty trillion dollar question, is you know,

1187
01:10:48,520 --> 01:10:52,920
Speaker 1: how much has China cost us? And how should we

1188
01:10:52,920 --> 01:10:57,720
Speaker 1: recover that money? So you ask a great question. We

1189
01:10:57,760 --> 01:11:02,599
Speaker 1: don't have answers to that, and and uh, we need

1190
01:11:02,600 --> 01:11:04,559
Speaker 1: to get to the bottom of that. And I think

1191
01:11:04,600 --> 01:11:07,880
Speaker 1: one of them, you know, we should have. We should

1192
01:11:07,920 --> 01:11:10,000
Speaker 1: have got to the bottom of this by now, but

1193
01:11:10,320 --> 01:11:14,360
Speaker 1: I think the Democrats, for whatever reason, don't want to

1194
01:11:14,960 --> 01:11:19,360
Speaker 1: open that box. It's very strange. Yeah, well, if there

1195
01:11:19,439 --> 01:11:23,439
Speaker 1: is a commission, Yeah, if Joe Biden appoints a Commission.

1196
01:11:23,439 --> 01:11:27,080
Speaker 1: I'm sure it'll be a John Kerry, Hunter Biden, Susan

1197
01:11:27,200 --> 01:11:38,000
Speaker 1: Rice make Turner the chair, James James can be the treasurer. Hey,

1198
01:11:38,280 --> 01:11:41,040
Speaker 1: I hate to say, we're at the top of the family, right,

1199
01:11:42,080 --> 01:11:45,160
Speaker 1: Peter Navarro, you've seen everything in your years now in Washington,

1200
01:11:45,160 --> 01:11:47,599
Speaker 1: are you have you become totally disillusioned with the swamp.

1201
01:11:50,960 --> 01:11:54,519
Speaker 1: So here's the thing. Um, we are in a fight,

1202
01:11:55,800 --> 01:11:59,120
Speaker 1: and I don't think this is anything new. I mean,

1203
01:11:59,160 --> 01:12:05,000
Speaker 1: you go back in our history and there's just there's

1204
01:12:05,040 --> 01:12:09,280
Speaker 1: there's epic battles between two points of view and two

1205
01:12:09,360 --> 01:12:12,559
Speaker 1: parts of our population. I do think the stakes now

1206
01:12:12,920 --> 01:12:17,120
Speaker 1: are higher than they've ever been, and I'm disillusioned to

1207
01:12:17,200 --> 01:12:21,200
Speaker 1: the extent when I look at this election. This is

1208
01:12:21,680 --> 01:12:27,280
Speaker 1: this is the most um disillusioning event one can imagine,

1209
01:12:27,360 --> 01:12:31,559
Speaker 1: because it really cuts mark to the hearts and soul

1210
01:12:32,640 --> 01:12:36,600
Speaker 1: of our of our society or politics and our economy

1211
01:12:36,680 --> 01:12:44,439
Speaker 1: and our foreign policy and elections have consequences, and it's

1212
01:12:44,479 --> 01:12:47,879
Speaker 1: going to be a very different world if if Sleepy

1213
01:12:47,960 --> 01:12:53,720
Speaker 1: Joe gets in there on the twenty first. I hate

1214
01:12:53,720 --> 01:12:55,599
Speaker 1: to say we're out of time, but everybody should read

1215
01:12:56,000 --> 01:12:58,360
Speaker 1: this report by Peter naval very important. And what's the

1216
01:12:58,360 --> 01:13:01,160
Speaker 1: best way for people to find the report? All right,

1217
01:13:02,320 --> 01:13:06,040
Speaker 1: go to my Twitter account, Real P Navarro, Real P

1218
01:13:06,280 --> 01:13:10,400
Speaker 1: Navarrow on Twitter and you can download it there. Or

1219
01:13:11,080 --> 01:13:17,000
Speaker 1: if you're a fan of Bannon's War Room, Pandemic or

1220
01:13:17,240 --> 01:13:19,680
Speaker 1: National Pulse, they've got it up there as well. And

1221
01:13:19,920 --> 01:13:24,080
Speaker 1: it'd be great if he got it up on Sean's side. Yeah, well,

1222
01:13:24,320 --> 01:13:26,080
Speaker 1: we'll put it on Hannity dot Com to a great

1223
01:13:26,080 --> 01:13:28,400
Speaker 1: it's a pdf, very important to read. We'll put it up.

1224
01:13:28,600 --> 01:13:30,960
Speaker 1: Peter Navorrow, keep up the great work. Thanks for being

1225
01:13:31,040 --> 01:13:34,160
Speaker 1: with us. I appreciate it evenenough. Friend. Good luck to

1226
01:13:34,200 --> 01:13:38,120
Speaker 1: you tonight. All right, take care. Yeah, quite a story. Hey,

1227
01:13:38,120 --> 01:13:40,559
Speaker 1: follow me on Twitter to Mark Simone on Twitter or

1228
01:13:41,520 --> 01:13:44,280
Speaker 1: parlor we like Parlor now or Instagram or all of that.

1229
01:13:44,439 --> 01:13:46,280
Speaker 1: We'll take some calls in a minute. One eight hundred

1230
01:13:46,520 --> 01:13:49,439
Speaker 1: nine four one Sean is the number. Mark Simone here

1231
01:13:49,479 --> 01:13:54,000
Speaker 1: for Sean Hannity. Hey, it's hey, welcome back. It's Mark

1232
01:13:54,080 --> 01:13:57,880
Speaker 1: Simone here for Sean Hannity. Top story of the day.

1233
01:13:57,920 --> 01:13:59,720
Speaker 1: We'll get to the top stories of the day. But

1234
01:14:00,520 --> 01:14:03,000
Speaker 1: my favorite story the day. I hate this Alec Baldwin,

1235
01:14:03,080 --> 01:14:06,320
Speaker 1: this goofy Alec Baldwin with the silly wife who is

1236
01:14:07,200 --> 01:14:13,320
Speaker 1: with the Spanish accent? Hilaria, am I saying right? Hilaria Baldwin, Well,

1237
01:14:13,479 --> 01:14:15,200
Speaker 1: there's no way to say it right because apparently it's

1238
01:14:15,200 --> 01:14:17,759
Speaker 1: all fake. It's a fraud. She's a fraud, a liar,

1239
01:14:17,800 --> 01:14:21,880
Speaker 1: a con woman. She made up the name, the Spanish accent.

1240
01:14:21,960 --> 01:14:24,400
Speaker 1: She's been working on for years. It's a fake accent.

1241
01:14:25,160 --> 01:14:30,280
Speaker 1: Somebody finally outed her. She's a daughter of doctor Katherine

1242
01:14:30,320 --> 01:14:34,519
Speaker 1: Hayward of Boston. She's as Bostonish as you can be,

1243
01:14:35,840 --> 01:14:38,200
Speaker 1: not Spanish. The whole thing was a fraud. She got

1244
01:14:38,240 --> 01:14:42,200
Speaker 1: embarrassed and was Everybody went after her on Instagram, so

1245
01:14:42,280 --> 01:14:44,760
Speaker 1: she pulled down her account and she brought it back

1246
01:14:44,800 --> 01:14:47,479
Speaker 1: with a video trying to explain it all that she

1247
01:14:47,560 --> 01:14:51,320
Speaker 1: had spent time in Spain and she was learning Spanish

1248
01:14:51,360 --> 01:14:55,160
Speaker 1: and somehow it turned into an accent and nobody was

1249
01:14:55,240 --> 01:14:57,720
Speaker 1: buying anything, and then she went away again. Now she

1250
01:14:57,840 --> 01:15:01,960
Speaker 1: keeps coming back with these different explanations. Uh, you just

1251
01:15:02,120 --> 01:15:04,400
Speaker 1: got caught you ever, listen, everybody knows you were lying.

1252
01:15:04,439 --> 01:15:07,960
Speaker 1: You made it up. The husband, Alec Baldwin, obviously went

1253
01:15:08,040 --> 01:15:10,799
Speaker 1: along with it. He married her the most that's interesting,

1254
01:15:10,800 --> 01:15:15,439
Speaker 1: but interesting. Yeah, very when when you went to the wedding,

1255
01:15:15,479 --> 01:15:19,680
Speaker 1: her parents were there. Father's name is Thomas, mother's name

1256
01:15:19,760 --> 01:15:24,760
Speaker 1: is Hayward. They're from Boston. You must have visited her

1257
01:15:24,800 --> 01:15:28,200
Speaker 1: hometown or parents house in Boston. She faked the whole thing.

1258
01:15:28,680 --> 01:15:30,680
Speaker 1: Now she keeps trying to become up these all these

1259
01:15:30,720 --> 01:15:34,320
Speaker 1: different explanations. You know what just say. I don't know

1260
01:15:34,400 --> 01:15:37,120
Speaker 1: what I just say. You'll just love the Spanish culture.

1261
01:15:37,160 --> 01:15:39,160
Speaker 1: You loved it so much you pretended to be it

1262
01:15:39,240 --> 01:15:43,559
Speaker 1: so caught outed. That's it. Eight hundred and nine four

1263
01:15:43,600 --> 01:15:46,080
Speaker 1: one sean is the number. We'll take some calls. So

1264
01:15:47,200 --> 01:15:49,760
Speaker 1: a couple of things going on. The President will have

1265
01:15:49,800 --> 01:15:54,240
Speaker 1: a rally in Georgia this weekend. The election is the fifth.

1266
01:15:55,000 --> 01:15:58,479
Speaker 1: When is that exactly? That's next week? The fifth would

1267
01:15:58,520 --> 01:16:02,760
Speaker 1: be Tuesday. That's coming to Tuesday. That's a week from tomorrow,

1268
01:16:02,800 --> 01:16:06,559
Speaker 1: the Georgia election. We'd like to think the Republicans will

1269
01:16:06,600 --> 01:16:12,160
Speaker 1: hold the Senate. Very important. Divided government is great when

1270
01:16:12,160 --> 01:16:15,280
Speaker 1: you've got to Biden in the White House. You don't

1271
01:16:15,320 --> 01:16:20,040
Speaker 1: want all democratic crazy nonsense going on. Also, it's good

1272
01:16:20,040 --> 01:16:23,519
Speaker 1: for the economy, stock market source. They like divided government

1273
01:16:24,360 --> 01:16:27,000
Speaker 1: just stalls everything. The less they get done in government,

1274
01:16:27,000 --> 01:16:30,080
Speaker 1: the better when it's a Biden administration, if that's what's

1275
01:16:30,080 --> 01:16:34,000
Speaker 1: going to happen. So the problem is everything that was

1276
01:16:34,040 --> 01:16:37,919
Speaker 1: wrong with this past election, from dominion, to mail in ballots,

1277
01:16:37,960 --> 01:16:43,080
Speaker 1: to bad counting, to all of a sudden new ballots appearing,

1278
01:16:43,479 --> 01:16:46,720
Speaker 1: suitcases showing up, all that stuff is still there in

1279
01:16:46,800 --> 01:16:51,240
Speaker 1: place in Georgia. Nothing has changed. So for a Republican

1280
01:16:51,280 --> 01:16:53,800
Speaker 1: to win, you usually got to have like at least

1281
01:16:53,800 --> 01:16:57,280
Speaker 1: ten points just to overcome the cheating. So you're going

1282
01:16:57,320 --> 01:17:01,160
Speaker 1: to need a huge turnout this coming Tuesday in Georgia

1283
01:17:01,520 --> 01:17:04,479
Speaker 1: to get the two Republicans elected there. Not that they're

1284
01:17:04,479 --> 01:17:10,280
Speaker 1: any great incredible leaders, but it's better than a Democratic Senate.

1285
01:17:10,320 --> 01:17:12,599
Speaker 1: So you got to make sure you vote in Georgia

1286
01:17:12,640 --> 01:17:19,720
Speaker 1: for the two Republican candidates and get them elected. Otherwise

1287
01:17:20,280 --> 01:17:23,360
Speaker 1: you're going to end up with a democratic president, possibly

1288
01:17:23,640 --> 01:17:26,680
Speaker 1: a Democratic Congress, and a Democratic Senate. You do not

1289
01:17:26,960 --> 01:17:31,040
Speaker 1: want that, because we did that here in New York State.

1290
01:17:31,040 --> 01:17:34,520
Speaker 1: We got a democratic governor and then we have two legislatures,

1291
01:17:34,560 --> 01:17:37,400
Speaker 1: the House and the Assembly both became democratic, so it

1292
01:17:37,439 --> 01:17:41,160
Speaker 1: was entirely democratic the whole state. And they went nuts

1293
01:17:41,200 --> 01:17:45,200
Speaker 1: with the craziest stuff you've ever seen. Legislation was passed

1294
01:17:45,240 --> 01:17:49,280
Speaker 1: that all prisoners will be released without bail, no bail, everybody,

1295
01:17:49,320 --> 01:17:54,640
Speaker 1: the guns, shooting, stabbings released without bail. Qu almost signed it.

1296
01:17:54,680 --> 01:17:57,360
Speaker 1: All Democrats running everything. Next thing, you know, we got

1297
01:17:57,400 --> 01:17:59,840
Speaker 1: the biggest crime spike in the history of New York.

1298
01:18:01,200 --> 01:18:05,040
Speaker 1: The taxes, all this stuff that we've had more people

1299
01:18:05,240 --> 01:18:09,320
Speaker 1: leave New York than any other state in America. You

1300
01:18:09,360 --> 01:18:11,280
Speaker 1: can't even move right now in New York. There's a

1301
01:18:11,360 --> 01:18:14,719
Speaker 1: four to six month waiting list for a moving company.

1302
01:18:14,760 --> 01:18:18,240
Speaker 1: They literally don't have enough moving vans to move all

1303
01:18:18,240 --> 01:18:21,080
Speaker 1: the people. Moving vans are now like ventilators. There's a shortage.

1304
01:18:21,080 --> 01:18:25,000
Speaker 1: You can't get him. So the state is totally broken, bankrupt.

1305
01:18:25,000 --> 01:18:28,439
Speaker 1: You do not want a Democratic House, a Democratic Senate,

1306
01:18:28,479 --> 01:18:31,880
Speaker 1: and a Democratic president. You got Biden coming in and

1307
01:18:31,960 --> 01:18:35,799
Speaker 1: you look at the cabinet, it's all these retreads. John Carey,

1308
01:18:36,840 --> 01:18:40,240
Speaker 1: this Tony Blincoln, Secretary State Tony Blincoln. He stays in

1309
01:18:40,280 --> 01:18:43,560
Speaker 1: the background, but he's another John Kerry. He's an exact

1310
01:18:43,880 --> 01:18:48,760
Speaker 1: replica of John Kerry. He's a twenty year, twenty five

1311
01:18:48,840 --> 01:18:52,360
Speaker 1: year younger version of John Kerry. In every way, all

1312
01:18:52,400 --> 01:18:55,320
Speaker 1: the same background characteristics everything. In fact, when Kerry was

1313
01:18:55,360 --> 01:18:58,400
Speaker 1: Secretary State, he made blink in his number two because

1314
01:18:58,439 --> 01:19:02,160
Speaker 1: it's just a copy of him. You got Ron Klaine,

1315
01:19:02,280 --> 01:19:05,800
Speaker 1: you got all these Obama people coming back, all coming back.

1316
01:19:06,800 --> 01:19:09,160
Speaker 1: Who else you got? You got, oh, the couple of

1317
01:19:09,160 --> 01:19:13,240
Speaker 1: new people, Pete boota Jedge. What did he get Secretary

1318
01:19:13,240 --> 01:19:17,599
Speaker 1: of Transportation? Now you might say, huh transportation. Well, remember

1319
01:19:17,960 --> 01:19:20,200
Speaker 1: when he pretended he was serving in Iraq when he

1320
01:19:20,280 --> 01:19:22,720
Speaker 1: went over there, for he wasn't really. I mean, he

1321
01:19:22,760 --> 01:19:24,640
Speaker 1: makes it sound like he was some sort of military

1322
01:19:24,680 --> 01:19:27,280
Speaker 1: figure in Iraq. He was the mayor of sath Ben

1323
01:19:27,479 --> 01:19:30,680
Speaker 1: had enough cloud to get himself commissioned and sent over

1324
01:19:30,720 --> 01:19:33,639
Speaker 1: there without ever going to boot camp, without any training.

1325
01:19:33,960 --> 01:19:36,120
Speaker 1: And he went over there and he did an office job,

1326
01:19:36,560 --> 01:19:39,000
Speaker 1: was in a cubicle in an office on a base

1327
01:19:39,479 --> 01:19:41,719
Speaker 1: for two or three months, and then came home. Nothing

1328
01:19:41,760 --> 01:19:45,719
Speaker 1: to do with combat or any wartime act. Just office

1329
01:19:45,800 --> 01:19:48,760
Speaker 1: job on a base. But sometimes when they were short

1330
01:19:48,800 --> 01:19:51,559
Speaker 1: of a driver, they would use him as a chauffeur

1331
01:19:51,920 --> 01:19:54,320
Speaker 1: to drive an officer into town and back. And that's

1332
01:19:54,400 --> 01:19:56,439
Speaker 1: that's all he did for a couple of a few weeks,

1333
01:19:56,439 --> 01:19:58,600
Speaker 1: and then he came back. So, I guess if you

1334
01:19:58,640 --> 01:20:02,880
Speaker 1: were a chauffeur, that qualifies you to be Secretary of Transportation.

1335
01:20:03,280 --> 01:20:07,280
Speaker 1: Makes sense to me. There you go. There's another. If

1336
01:20:07,280 --> 01:20:09,240
Speaker 1: he's going to be the president, Joe Biden is talking

1337
01:20:09,240 --> 01:20:12,519
Speaker 1: about all kinds of things, using the Defense Production Act

1338
01:20:13,520 --> 01:20:18,320
Speaker 1: to make as much vaccine as possible, making more ppe.

1339
01:20:18,439 --> 01:20:20,920
Speaker 1: How do you like that? And if you read the

1340
01:20:20,920 --> 01:20:24,200
Speaker 1: New York Times or these fake newspapers, they keep telling

1341
01:20:24,200 --> 01:20:26,559
Speaker 1: me this is a brilliant idea, what a great idea.

1342
01:20:26,880 --> 01:20:28,720
Speaker 1: They don't point out We've been doing this for eight

1343
01:20:28,720 --> 01:20:32,240
Speaker 1: months already. It's it's already in the works. Anyway. Hey,

1344
01:20:32,280 --> 01:20:34,679
Speaker 1: let's sake some calls. Let's go to Jim and Florida. Jim,

1345
01:20:34,680 --> 01:20:39,240
Speaker 1: Welcome to the Sean Hannity Show. Hey, hello, Mark, thanks

1346
01:20:39,240 --> 01:20:42,080
Speaker 1: for taking my call. Two things, thanks for making a call.

1347
01:20:42,200 --> 01:20:47,000
Speaker 1: You know, yes, two things real quick. First, you know,

1348
01:20:47,080 --> 01:20:49,120
Speaker 1: you can call this staff. You can call it cheating,

1349
01:20:49,120 --> 01:20:51,519
Speaker 1: and you can call it fraud by any other name.

1350
01:20:51,600 --> 01:20:55,160
Speaker 1: It's treason because it's dealing with our election. It's a

1351
01:20:55,280 --> 01:20:58,599
Speaker 1: national it's a it's a national disgrace. As soon as

1352
01:20:58,600 --> 01:21:03,120
Speaker 1: they were funky stuff's going on an election night, suld

1353
01:21:03,120 --> 01:21:06,240
Speaker 1: have implemented the Insurrection Act, and I say, gone to

1354
01:21:06,560 --> 01:21:11,280
Speaker 1: martial law. Let me interrupt you. Ever notice whenever guy

1355
01:21:11,280 --> 01:21:13,400
Speaker 1: says I'll make this quick, real quick, he always talks

1356
01:21:13,400 --> 01:21:16,639
Speaker 1: for twenty minutes. That's always. But that's good, that's good.

1357
01:21:17,040 --> 01:21:19,639
Speaker 1: I have no Insurrection Act. But I know what you're saying.

1358
01:21:19,840 --> 01:21:23,200
Speaker 1: I listen. I can understand your frustration. Jim, thanks for calling.

1359
01:21:23,280 --> 01:21:26,040
Speaker 1: Let's go to David, who's in Long Island. David, Welcome

1360
01:21:26,080 --> 01:21:29,639
Speaker 1: to Sean Hannity Show. Thanks Mark. For weeks, I've heard

1361
01:21:29,640 --> 01:21:32,880
Speaker 1: people ask about what conservatives do about the election interference.

1362
01:21:33,280 --> 01:21:35,799
Speaker 1: Here's a call to action. I am calling for everyone

1363
01:21:35,960 --> 01:21:40,000
Speaker 1: to drop Facebook, Twitter, Google, and Chrome browser. On January seventh,

1364
01:21:40,320 --> 01:21:43,960
Speaker 1: everyone post one last message, that a tweet that says,

1365
01:21:44,080 --> 01:21:46,800
Speaker 1: due to the role these companies played in the interference

1366
01:21:46,800 --> 01:21:49,640
Speaker 1: of the election and censorship of conservative views, we have

1367
01:21:49,720 --> 01:21:52,840
Speaker 1: switched to another platform. And I say, okay, okay, wait, wait,

1368
01:21:53,360 --> 01:21:56,680
Speaker 1: let's all right, but wait, let's break this down. Instagram.

1369
01:21:56,760 --> 01:21:58,800
Speaker 1: I love my Instagram, but most of you put up

1370
01:21:58,840 --> 01:22:00,840
Speaker 1: pictures of food or what you did or where you went.

1371
01:22:01,360 --> 01:22:02,960
Speaker 1: I like on Instagram, So what am I going to

1372
01:22:03,040 --> 01:22:05,559
Speaker 1: do without it? And then I am what you mean

1373
01:22:05,600 --> 01:22:09,800
Speaker 1: about Facebook. I have been so censored on Facebook, and

1374
01:22:10,240 --> 01:22:12,720
Speaker 1: wrongfully so they pulled down one Biden post with this.

1375
01:22:13,000 --> 01:22:17,120
Speaker 1: They have these fake, totally slanted, left wing, ridiculous fact

1376
01:22:17,200 --> 01:22:20,200
Speaker 1: checkers they use that are all wrong about everything a Twitter.

1377
01:22:22,000 --> 01:22:24,599
Speaker 1: It is horrible. Did you do this, by the way, David,

1378
01:22:24,640 --> 01:22:27,120
Speaker 1: did you get off all these things? Yes, I've already

1379
01:22:27,120 --> 01:22:29,240
Speaker 1: done this, but I'm asking for everybody to do it

1380
01:22:29,280 --> 01:22:31,479
Speaker 1: on the seventh because on the sixth they're supposed to

1381
01:22:31,479 --> 01:22:34,080
Speaker 1: be a big protest and I think everybody needs to

1382
01:22:34,080 --> 01:22:38,880
Speaker 1: tweet and post everything about that then shut down their account. Now,

1383
01:22:38,920 --> 01:22:41,320
Speaker 1: if you get rid of Google Chrome and you stop

1384
01:22:41,439 --> 01:22:44,800
Speaker 1: using Google Search, trust me, they will see the reduction

1385
01:22:44,920 --> 01:22:47,639
Speaker 1: in the traffic and they will notice it. I think

1386
01:22:47,640 --> 01:22:52,880
Speaker 1: these companies forget that about half of their customers are conservatives. Yeah,

1387
01:22:53,000 --> 01:22:56,200
Speaker 1: all right, well thanks for calling. It's a good cause.

1388
01:22:56,520 --> 01:23:01,120
Speaker 1: Now when it comes to Twitter and if Facebook, they've

1389
01:23:01,120 --> 01:23:03,120
Speaker 1: been pulling down posts, so they'll put something right on

1390
01:23:03,160 --> 01:23:05,720
Speaker 1: top of your post. This is factually incorrect, And here's

1391
01:23:05,720 --> 01:23:07,960
Speaker 1: what our fact checkers say. And it's never a real

1392
01:23:08,000 --> 01:23:11,240
Speaker 1: fact checker. It's always a fake fact checker like PolitiFact

1393
01:23:11,400 --> 01:23:14,439
Speaker 1: or fact check dot Org or Washington Post and they

1394
01:23:14,479 --> 01:23:18,120
Speaker 1: never ever, ever, ever get anything right. It's all slanted

1395
01:23:18,200 --> 01:23:22,400
Speaker 1: left wing fact checkers. That's Facebook. If you don't if

1396
01:23:22,439 --> 01:23:24,599
Speaker 1: you want another Facebook, or you don't really have one yet,

1397
01:23:24,600 --> 01:23:26,639
Speaker 1: but Facebook is kind of fading out on its own.

1398
01:23:26,960 --> 01:23:33,160
Speaker 1: Mostly older people left on Facebook. Twitter is, I mean,

1399
01:23:33,200 --> 01:23:37,080
Speaker 1: Twitter is just awful playing games. I got to about

1400
01:23:37,120 --> 01:23:40,400
Speaker 1: two hundred thousand Twitter followers and then it froze. I

1401
01:23:40,439 --> 01:23:44,040
Speaker 1: never got another follower. There were days I got retweeted

1402
01:23:44,080 --> 01:23:46,479
Speaker 1: by the President United States two three times in one

1403
01:23:46,560 --> 01:23:49,280
Speaker 1: day and didn't pick up a single follower. At first,

1404
01:23:49,320 --> 01:23:51,000
Speaker 1: I thought it was just me, but then I asked around.

1405
01:23:51,040 --> 01:23:54,760
Speaker 1: Anybody who supports Trump on TV or radio that never

1406
01:23:54,800 --> 01:23:57,400
Speaker 1: gains any more followers? In fact, follow me on Twitter

1407
01:23:57,439 --> 01:24:00,479
Speaker 1: right now, Let's see if I can. I mean, I'll look,

1408
01:24:00,479 --> 01:24:02,040
Speaker 1: if you all follow me, I'll gain a few and

1409
01:24:02,080 --> 01:24:05,879
Speaker 1: then somehow I'll lose if you but it's Mark Simone

1410
01:24:06,000 --> 01:24:08,640
Speaker 1: ny at Twitter. The good news with Twitter is you

1411
01:24:08,640 --> 01:24:12,599
Speaker 1: can go to Parlor pr Lar. That's the new Twitter,

1412
01:24:13,200 --> 01:24:17,120
Speaker 1: no censorship of conservatives. You'll have a much better time there.

1413
01:24:17,120 --> 01:24:21,040
Speaker 1: It's pr Lar Parlor. You can follow me there too,

1414
01:24:21,280 --> 01:24:23,240
Speaker 1: But if you're on Twitter. Go sign up for Parlor

1415
01:24:23,240 --> 01:24:25,679
Speaker 1: because at some point He's right, we may all move

1416
01:24:25,720 --> 01:24:28,560
Speaker 1: over to Parlor and have to do everything here. I

1417
01:24:28,600 --> 01:24:30,719
Speaker 1: don't know what you're gonna do about this tech stuff.

1418
01:24:31,479 --> 01:24:35,080
Speaker 1: If there is a Biden administration, you will. I'm just

1419
01:24:35,120 --> 01:24:38,120
Speaker 1: telling you. Right now, you'll see Hunter Biden board of Facebook,

1420
01:24:39,320 --> 01:24:43,000
Speaker 1: on the board of Twitter. Joe Biden was talking about

1421
01:24:43,040 --> 01:24:46,040
Speaker 1: going after Amazon. Why because next thing, you know, Hunter

1422
01:24:46,120 --> 01:24:48,840
Speaker 1: Biden will be on the board of Amazon and that'll

1423
01:24:48,880 --> 01:24:50,479
Speaker 1: be the end of that. That's the kind of stuff

1424
01:24:50,479 --> 01:24:53,240
Speaker 1: that'll start happening soon. Hey, let's go to a Captain

1425
01:24:53,320 --> 01:24:58,679
Speaker 1: Russ in Arizona. Captain Russ, how you doing. Hey, listen,

1426
01:24:58,720 --> 01:25:01,799
Speaker 1: I'd like to cut right to the chase here, respect

1427
01:25:01,840 --> 01:25:07,240
Speaker 1: good ideas, very respectfully disagreeing with Bill o'reiley and the

1428
01:25:07,280 --> 01:25:10,160
Speaker 1: phony reasons that he gave out and you kind of

1429
01:25:10,200 --> 01:25:13,360
Speaker 1: agreed with him on that female call that's followed. Now,

1430
01:25:13,600 --> 01:25:16,720
Speaker 1: this is Supreme Court. If they take that, if they

1431
01:25:16,760 --> 01:25:19,800
Speaker 1: should have at least looked at the evidence, so Hockey,

1432
01:25:19,840 --> 01:25:22,000
Speaker 1: If they didn't look at it, how could they possibly

1433
01:25:22,080 --> 01:25:25,559
Speaker 1: say that there was no standing when there was eighteen

1434
01:25:25,680 --> 01:25:29,559
Speaker 1: state We all agree, you agree with, I agree with

1435
01:25:29,640 --> 01:25:32,240
Speaker 1: you. You You agree with Bill, We all agree. What o'reiley

1436
01:25:32,360 --> 01:25:34,719
Speaker 1: was simply pointing out was the reality of the situation

1437
01:25:34,880 --> 01:25:38,000
Speaker 1: is these justices are cowardly and afraid to take it on.

1438
01:25:38,120 --> 01:25:41,040
Speaker 1: They don't want to see a thousand protesters around their

1439
01:25:41,080 --> 01:25:44,280
Speaker 1: house twenty four seven for the next six months, and

1440
01:25:44,360 --> 01:25:47,240
Speaker 1: they're afraid it happens, even with Supreme Court justices. So

1441
01:25:47,760 --> 01:25:50,400
Speaker 1: that's what that's all about. I mean, we all O'Riley

1442
01:25:51,160 --> 01:25:54,400
Speaker 1: simply pointing out the truth that may be a reason

1443
01:25:54,439 --> 01:25:58,599
Speaker 1: for us, not an excuse. No, it's terrible, but it's

1444
01:25:58,640 --> 01:26:03,760
Speaker 1: the reality of it. It's I mean, people should have

1445
01:26:03,760 --> 01:26:05,760
Speaker 1: taken a job if they can't stay on the heat.

1446
01:26:07,080 --> 01:26:12,000
Speaker 1: I understand you. You know, it's like because they like

1447
01:26:12,080 --> 01:26:14,599
Speaker 1: the pretty uniforms, didn't they get in there suddenly finds

1448
01:26:14,600 --> 01:26:18,639
Speaker 1: out that, hey, they actually want me to go to combat. Yeah,

1449
01:26:18,680 --> 01:26:21,160
Speaker 1: well you're not wrong, Captain Russ, thanks for calling. I

1450
01:26:21,160 --> 01:26:22,920
Speaker 1: agree with you one hundred percent, but I'm just giving

1451
01:26:22,960 --> 01:26:25,880
Speaker 1: you reality, your Supreme Court justice, you got a nice

1452
01:26:25,920 --> 01:26:28,760
Speaker 1: house in the suburbs of Washington. You realize you're going

1453
01:26:28,840 --> 01:26:32,160
Speaker 1: to have these screaming protesters out there twenty four to seven,

1454
01:26:32,160 --> 01:26:36,439
Speaker 1: and they'll never go away. Democrats also threatened the Supreme Court,

1455
01:26:36,520 --> 01:26:38,800
Speaker 1: and the threat worked. They threatened to pack the court

1456
01:26:39,160 --> 01:26:41,920
Speaker 1: twenty five more justices. You'll be lost in the crowd.

1457
01:26:43,080 --> 01:26:44,960
Speaker 1: They were just afraid to take it on. Now. We'll

1458
01:26:45,000 --> 01:26:48,000
Speaker 1: see what happens after the election. And their excuse, you're right,

1459
01:26:48,040 --> 01:26:52,240
Speaker 1: their excuse was ridiculous. The President hasn't lost a single

1460
01:26:52,280 --> 01:26:55,439
Speaker 1: case ever anywhere. Every court just refused to look at

1461
01:26:55,439 --> 01:26:57,120
Speaker 1: the evidence. He just refused. In the case of the

1462
01:26:57,160 --> 01:27:00,120
Speaker 1: Supreme Court, they argued that he didn't have standing to

1463
01:27:00,160 --> 01:27:02,760
Speaker 1: bring the case. You're the candidate. Who else would have

1464
01:27:02,800 --> 01:27:05,519
Speaker 1: standing to bring the case if there were election fraud.

1465
01:27:05,600 --> 01:27:07,920
Speaker 1: So it'd be interesting to see after this is all over,

1466
01:27:07,960 --> 01:27:11,559
Speaker 1: if God forbid, there's a Biden administration for a few

1467
01:27:11,600 --> 01:27:14,200
Speaker 1: months after that, if they'll then take the case and

1468
01:27:14,360 --> 01:27:17,639
Speaker 1: then look at it. All these cases, even the Sydney

1469
01:27:17,680 --> 01:27:21,479
Speaker 1: Polace stuff, that dominion, all that stuff, they get proven

1470
01:27:21,520 --> 01:27:26,040
Speaker 1: in court at some point. I mean that if the

1471
01:27:26,080 --> 01:27:29,400
Speaker 1: president loses this battle, it's important to keep these cases

1472
01:27:29,400 --> 01:27:32,840
Speaker 1: in this fight going, get our election system cleaned up

1473
01:27:33,479 --> 01:27:35,599
Speaker 1: so that we don't ever ever have one of those

1474
01:27:35,680 --> 01:27:38,600
Speaker 1: kind of elections again. With all the suspicious stuff going on,

1475
01:27:38,640 --> 01:27:41,040
Speaker 1: all over the place. What a year twenty twenty was.

1476
01:27:41,080 --> 01:27:43,599
Speaker 1: But you're forgetting all the early stuff of the You remember,

1477
01:27:43,880 --> 01:27:46,960
Speaker 1: even the beginning of the lockdown, it was all we

1478
01:27:47,000 --> 01:27:50,639
Speaker 1: did was everybody's watching Tiger King hunting for toilet paper.

1479
01:27:50,720 --> 01:27:53,639
Speaker 1: That was the early period. But even before that, Kobe

1480
01:27:53,640 --> 01:27:55,400
Speaker 1: Bryant was one of the big stories of the year,

1481
01:27:55,800 --> 01:27:59,200
Speaker 1: Harvey Weinstein one of the impeachment Remember the impeachment month

1482
01:27:59,240 --> 01:28:03,440
Speaker 1: when Democrats were ignoring the virus and concentrating on impeachment.

1483
01:28:04,680 --> 01:28:06,800
Speaker 1: What else? Oh, Mike Bloomberg. That was one of my

1484
01:28:06,880 --> 01:28:12,280
Speaker 1: favorite parts of the whole year. Mike Bloomberg, who looked

1485
01:28:12,280 --> 01:28:16,280
Speaker 1: like this powerful billionaire was going to enter the race

1486
01:28:16,360 --> 01:28:19,320
Speaker 1: with his billions of dollars, and then all of a

1487
01:28:19,360 --> 01:28:21,439
Speaker 1: sudden America got to know the guy and found out

1488
01:28:21,479 --> 01:28:25,720
Speaker 1: he's a total stiff, no personality, can't talk. Gave the

1489
01:28:25,840 --> 01:28:30,599
Speaker 1: single worst debate performance in the history of presidential debates.

1490
01:28:30,640 --> 01:28:34,160
Speaker 1: Remember that great moment, Elizabeth Warren just slapping him around,

1491
01:28:34,280 --> 01:28:36,800
Speaker 1: just punching him right between the eyes, over and over

1492
01:28:36,840 --> 01:28:39,479
Speaker 1: and he was gone. So hey, I'd say, we're out

1493
01:28:39,479 --> 01:28:42,840
Speaker 1: of time. Mark Simone here for Sean Hannity. Normally I'm

1494
01:28:42,840 --> 01:28:45,880
Speaker 1: on our big flagship w R in New York. Listen

1495
01:28:45,920 --> 01:28:49,080
Speaker 1: to me on the iheartapp or online. Let's go to

1496
01:28:49,120 --> 01:28:52,080
Speaker 1: Mark Simone dot com. You can sign up for Twitter, Instagram,

1497
01:28:52,160 --> 01:28:56,599
Speaker 1: and here my podcast Mark Simone dot com. It's all

1498
01:28:56,680 --> 01:29:00,000
Speaker 1: up there. Sean'll be back soon. Thanks a lot for listening,

1499
01:29:00,240 --> 01:29:02,360
Speaker 1: have a great night, and thanks for listening to The

1500
01:29:02,400 --> 01:29:03,439
Speaker 1: Sean Hannity Show.