1
00:00:00,200 --> 00:00:02,800
Speaker 1: Right, glad you whether Sean Hannity show right down our

2
00:00:02,840 --> 00:00:05,680
Speaker 1: toll free telephone number. You want to be a part

3
00:00:05,720 --> 00:00:08,559
Speaker 1: of this extravaganza, eight hundred and ninety four one, Sean,

4
00:00:08,680 --> 00:00:11,280
Speaker 1: if you want to join us. I got a lot

5
00:00:11,360 --> 00:00:13,119
Speaker 1: of different packs in front of me that we're gonna

6
00:00:13,160 --> 00:00:14,920
Speaker 1: get to. Let me say this, The governor of the

7
00:00:14,960 --> 00:00:17,040
Speaker 1: State of New York, Andrew Cuomo, will be on the

8
00:00:17,079 --> 00:00:20,959
Speaker 1: program today. New York. Now, the state of New York

9
00:00:21,239 --> 00:00:26,880
Speaker 1: has forty percent of all US coronavirus virus cases. And

10
00:00:27,440 --> 00:00:30,520
Speaker 1: unlike other people like you know, Quid pro quote doctor Joe,

11
00:00:30,520 --> 00:00:33,559
Speaker 1: who just can't stop himself from politicizing, there's like the

12
00:00:33,600 --> 00:00:36,800
Speaker 1: mob in the media. There has actually working great with

13
00:00:36,880 --> 00:00:39,559
Speaker 1: the president, and you know what, it's helping a lot

14
00:00:39,600 --> 00:00:42,360
Speaker 1: of people, and it's all hands on deck. As you know,

15
00:00:42,400 --> 00:00:45,640
Speaker 1: as he said, nobody, nobody saw this ever becoming what

16
00:00:45,720 --> 00:00:50,120
Speaker 1: we now see it becoming. Everybody's adapting, everybody's adjusting. And

17
00:00:50,159 --> 00:00:52,200
Speaker 1: we would just watched the Biden campaign trying to raise

18
00:00:52,240 --> 00:00:55,160
Speaker 1: money and saying one false thing about Donald Trump after

19
00:00:55,200 --> 00:00:59,040
Speaker 1: another that gets debunked one after another. If I had time,

20
00:00:59,280 --> 00:01:01,720
Speaker 1: I have ax to grind with the mob and the media.

21
00:01:01,880 --> 00:01:04,000
Speaker 1: We had to create a timeline and put it on

22
00:01:04,040 --> 00:01:06,400
Speaker 1: Hannity dot Com because of the lies about me. But

23
00:01:06,440 --> 00:01:09,000
Speaker 1: that's who they are, that's what they do. I've got.

24
00:01:09,080 --> 00:01:11,800
Speaker 1: Let me start with some good news if I can,

25
00:01:13,319 --> 00:01:15,880
Speaker 1: And well, maybe I should start with the numbers. And

26
00:01:16,360 --> 00:01:19,399
Speaker 1: one other thing. All these people talking about, oh, the

27
00:01:19,480 --> 00:01:24,959
Speaker 1: coronavirus and if you say wuhan, it's it's horrible, it's racist. Okay,

28
00:01:25,400 --> 00:01:27,600
Speaker 1: West Nile virus, let's get this out of the way.

29
00:01:27,800 --> 00:01:31,160
Speaker 1: Named after West Nile District of Uganda, in other words,

30
00:01:31,240 --> 00:01:35,120
Speaker 1: where it came from. We have one named after the

31
00:01:35,600 --> 00:01:39,240
Speaker 1: Let's see, for example, there's one called guinea worm that's

32
00:01:39,280 --> 00:01:42,120
Speaker 1: off the coast of West Africa. That was in the

33
00:01:42,120 --> 00:01:46,720
Speaker 1: sixteen hundreds. Rocky Mountain spotted fever, remember that. Okay, you

34
00:01:46,840 --> 00:01:51,640
Speaker 1: have that. And all of these different diseases come and

35
00:01:51,680 --> 00:01:54,200
Speaker 1: they have names Limes. You may not even realize this.

36
00:01:54,680 --> 00:01:56,520
Speaker 1: You know, I was named after a large outbreak of

37
00:01:56,560 --> 00:02:00,800
Speaker 1: the disease in lime and old lime in Connecticut. That's

38
00:02:00,800 --> 00:02:04,320
Speaker 1: why it's called that. You know, you have you know,

39
00:02:04,360 --> 00:02:08,160
Speaker 1: I could just keep going on. Mayors for example, that's

40
00:02:08,200 --> 00:02:12,679
Speaker 1: from the location in Central Africa. Then you have Marburg

41
00:02:12,840 --> 00:02:17,120
Speaker 1: virus disease. Well, that was named after Marburg, Germany in

42
00:02:17,200 --> 00:02:19,400
Speaker 1: nineteen sixty seven. Heck, I guess you could say German

43
00:02:19,480 --> 00:02:22,480
Speaker 1: measles in that case and go on from there, or

44
00:02:22,520 --> 00:02:27,600
Speaker 1: the Spanish flu or Japanese encephalitis. So I mean, it

45
00:02:27,720 --> 00:02:30,040
Speaker 1: just is, you know, and then you can always count

46
00:02:30,040 --> 00:02:33,600
Speaker 1: on a medium mob. Jimmy Kimmel calls Trump a racist.

47
00:02:33,880 --> 00:02:39,080
Speaker 1: He does a home video just useless, absolutely useless to everybody.

48
00:02:40,160 --> 00:02:43,400
Speaker 1: But anyway, it's it is what it is. And frankly,

49
00:02:43,440 --> 00:02:46,799
Speaker 1: the Chinese have done the world no favors here because

50
00:02:46,840 --> 00:02:50,520
Speaker 1: they purposely lied and they misrepresented what the truth was

51
00:02:50,600 --> 00:02:53,680
Speaker 1: going on on the ground, and it hurt the entire world.

52
00:02:54,200 --> 00:02:56,079
Speaker 1: When we could have nipped this in above this new

53
00:02:56,120 --> 00:02:59,120
Speaker 1: study out of Great Britain, we could have gotten ninety

54
00:02:59,120 --> 00:03:03,239
Speaker 1: five sent reduction right from the get go and mitigated

55
00:03:03,360 --> 00:03:08,480
Speaker 1: all of this, had, in fact China not try to

56
00:03:08,520 --> 00:03:10,680
Speaker 1: cover up what was going on there but invite the

57
00:03:10,720 --> 00:03:13,720
Speaker 1: world community and scientists. I had Mike Pompeo on TV

58
00:03:13,840 --> 00:03:16,679
Speaker 1: this week say yeah, of course we'd help a rand

59
00:03:16,720 --> 00:03:18,800
Speaker 1: today for crying out loud, because it's good for the

60
00:03:18,800 --> 00:03:21,560
Speaker 1: world not to have a spread of a virus like this,

61
00:03:22,280 --> 00:03:25,320
Speaker 1: So anyway, we can get into all of that later,

62
00:03:25,400 --> 00:03:28,440
Speaker 1: but we also have our medical A team is going

63
00:03:28,480 --> 00:03:31,240
Speaker 1: to come in. We're gonna look at how people are

64
00:03:31,280 --> 00:03:34,800
Speaker 1: perceiving the mobilization efforts. I gotta tell you a couple

65
00:03:34,800 --> 00:03:37,120
Speaker 1: of things. There's one good thing that I want to

66
00:03:37,120 --> 00:03:40,840
Speaker 1: start with some good news, and there's no good news

67
00:03:40,880 --> 00:03:42,760
Speaker 1: in the sense that, all right, we'll all have to

68
00:03:42,760 --> 00:03:45,760
Speaker 1: deal with this. Our lives are upended temporarily. It's never fun.

69
00:03:46,880 --> 00:03:49,160
Speaker 1: Totally get it. I have friends of mine in a

70
00:03:49,240 --> 00:03:52,200
Speaker 1: restaurant business. I'm talking to them every day, and I

71
00:03:52,240 --> 00:03:54,720
Speaker 1: am trying to look I'm even buying like extra food

72
00:03:54,760 --> 00:03:57,160
Speaker 1: from restaurants just to try and help my friends in

73
00:03:57,200 --> 00:04:00,360
Speaker 1: the business out. Because you can have either draw up

74
00:04:00,360 --> 00:04:02,720
Speaker 1: and pick up service or they're delivering now more than ever.

75
00:04:03,400 --> 00:04:05,320
Speaker 1: Oh I got to give a shout out. Oh did

76
00:04:05,360 --> 00:04:08,240
Speaker 1: you see Uber eats has taken away any percentage they get.

77
00:04:08,880 --> 00:04:12,080
Speaker 1: I mean, it's amazing so that people can have food

78
00:04:12,120 --> 00:04:15,240
Speaker 1: delivered to their house safely. We're going to learn a

79
00:04:15,240 --> 00:04:18,960
Speaker 1: lot from all this. What has really coming into coming

80
00:04:18,960 --> 00:04:22,839
Speaker 1: to be very clear to me, is this is now

81
00:04:23,000 --> 00:04:26,240
Speaker 1: we're in the midst of a major shift in dealing

82
00:04:26,279 --> 00:04:30,560
Speaker 1: with pandemics and all the rules of being rewritten, all

83
00:04:30,600 --> 00:04:34,160
Speaker 1: of them travel bands. I don't think there's any doubt

84
00:04:34,839 --> 00:04:38,599
Speaker 1: that saved tens of thousands of Americans from getting this

85
00:04:38,680 --> 00:04:43,880
Speaker 1: disease ten days after the first known coronavirus case January

86
00:04:43,880 --> 00:04:47,120
Speaker 1: twenty first, January thirty first travel band quarantine. That will

87
00:04:47,200 --> 00:04:49,720
Speaker 1: be the norm. Whether Joe Biden wants to call it

88
00:04:49,839 --> 00:04:53,400
Speaker 1: xenophobic and hysterical and fearmongering, it was the right thing

89
00:04:53,440 --> 00:04:55,920
Speaker 1: to do, and thank god it was done at the time.

90
00:04:56,560 --> 00:04:59,400
Speaker 1: Drive up testing, Wow, that takes a lot of the

91
00:04:59,440 --> 00:05:02,200
Speaker 1: heat off of the hospital system. That's going to be

92
00:05:02,240 --> 00:05:07,440
Speaker 1: the norm moving forward. A new paradigm, public private partnerships. Yeah,

93
00:05:07,480 --> 00:05:11,239
Speaker 1: that is going to be the norm moving forward. Lifting

94
00:05:11,360 --> 00:05:15,839
Speaker 1: FDA rules. That will be the norm moving forward. And

95
00:05:16,040 --> 00:05:20,599
Speaker 1: as I watch all of these things unfolding before our

96
00:05:20,680 --> 00:05:26,560
Speaker 1: eyes here and I look at our medical researchers and

97
00:05:26,680 --> 00:05:30,960
Speaker 1: our scientists and our doctors and our nurses and our

98
00:05:30,960 --> 00:05:35,640
Speaker 1: medical support teams, and our military and some governors that

99
00:05:35,680 --> 00:05:38,920
Speaker 1: I don't even like or agree with, and other leaders,

100
00:05:39,120 --> 00:05:42,680
Speaker 1: real leaders, and what they're doing, and I'm like, I'm like, Wow,

101
00:05:43,560 --> 00:05:46,960
Speaker 1: very cool, because this is the best of America. When

102
00:05:47,000 --> 00:05:50,400
Speaker 1: I see Walmart and wal Greens and Target and lab

103
00:05:50,440 --> 00:05:54,440
Speaker 1: Corps in quest and them stepping up, and the evil

104
00:05:54,480 --> 00:05:58,080
Speaker 1: pharmaceutical industries, how often have I said, I never understood

105
00:05:58,080 --> 00:06:01,479
Speaker 1: the demonization of Walmart. I don't understand the demonization of

106
00:06:01,480 --> 00:06:05,039
Speaker 1: pharmaceutical companies either. I don't understand it. Now, look at

107
00:06:05,080 --> 00:06:07,320
Speaker 1: what these companies have done. I hope we remember these

108
00:06:07,360 --> 00:06:10,440
Speaker 1: things because they're doing it for the country. When the

109
00:06:10,480 --> 00:06:12,719
Speaker 1: auto industry said to the President, I guess it was

110
00:06:12,800 --> 00:06:15,600
Speaker 1: yesterday or the day before that, Hey, if you need

111
00:06:15,640 --> 00:06:18,080
Speaker 1: more ventilators, we'll open up our plans and make them

112
00:06:18,120 --> 00:06:19,960
Speaker 1: for you. We'll do whatever you want. We could turn

113
00:06:19,960 --> 00:06:24,240
Speaker 1: it around one, two three. It's amazing. You see, you know, stories,

114
00:06:24,279 --> 00:06:27,800
Speaker 1: small stories of American people that they're going out, they

115
00:06:27,800 --> 00:06:30,600
Speaker 1: have an elderly neighbor that shouldn't leave the house. They're

116
00:06:30,640 --> 00:06:32,159
Speaker 1: calling them up and say, hey, can I get to

117
00:06:32,200 --> 00:06:34,920
Speaker 1: some groceries? What do you need? And sometimes they got

118
00:06:34,920 --> 00:06:36,560
Speaker 1: to go to two, three, four places that to get

119
00:06:36,560 --> 00:06:38,360
Speaker 1: it done. But they're getting it done. The President got

120
00:06:38,400 --> 00:06:40,680
Speaker 1: on the phone with the nation's grocers this week to

121
00:06:40,720 --> 00:06:42,480
Speaker 1: make sure that the shelves are going to be filled

122
00:06:43,000 --> 00:06:45,919
Speaker 1: and America's grocers are stepping up. We do have to

123
00:06:45,920 --> 00:06:48,320
Speaker 1: help the trucking industry because they're all lifeline to all

124
00:06:48,360 --> 00:06:50,960
Speaker 1: of our supplies. And these guys can't even stop at

125
00:06:50,960 --> 00:06:52,840
Speaker 1: a truck stop in some places that I am told

126
00:06:52,880 --> 00:06:57,159
Speaker 1: that is being rectified, and it's like all hands on deck.

127
00:06:57,200 --> 00:06:59,640
Speaker 1: Neighbor helping neighbor, and people helping each other out, and

128
00:07:00,240 --> 00:07:02,320
Speaker 1: we're gonna get through this. The biggest the other big

129
00:07:02,360 --> 00:07:05,880
Speaker 1: thing that I think is now emerged. We have never

130
00:07:06,000 --> 00:07:09,400
Speaker 1: scientifically broken down the sequence of a virus. It used

131
00:07:09,400 --> 00:07:11,360
Speaker 1: to take years. We did it in a month, month

132
00:07:11,360 --> 00:07:14,679
Speaker 1: and a half. Well, that we now have the first

133
00:07:16,840 --> 00:07:20,160
Speaker 1: first a task going on for vaccine, first trial, first

134
00:07:20,160 --> 00:07:22,840
Speaker 1: trial is what they call it now. The President's announcement

135
00:07:22,920 --> 00:07:25,440
Speaker 1: yesterday about I don't know about any of you. I

136
00:07:25,480 --> 00:07:28,560
Speaker 1: had never heard of chlora quint and anti malaria drug

137
00:07:28,800 --> 00:07:32,080
Speaker 1: drug till yesterday. Now I know more about chloroquin than

138
00:07:32,120 --> 00:07:34,120
Speaker 1: I thought i'd ever know all my life. And by

139
00:07:34,160 --> 00:07:36,840
Speaker 1: the way, pay attention to this. Anything that I am discovering,

140
00:07:36,880 --> 00:07:39,520
Speaker 1: I will share with you as soon as I know it.

141
00:07:40,000 --> 00:07:42,120
Speaker 1: And I went through it well, I actually talked about

142
00:07:42,120 --> 00:07:43,960
Speaker 1: it the day before is when I was reading, but

143
00:07:44,000 --> 00:07:46,200
Speaker 1: then when the President announced it, now I'm really digging

144
00:07:46,200 --> 00:07:48,240
Speaker 1: into it. So I've only known I've never heard of

145
00:07:48,280 --> 00:07:51,240
Speaker 1: chloroquin before these two days, and now I know about it.

146
00:07:51,280 --> 00:07:53,559
Speaker 1: Now I've read about it, and also doctors are telling

147
00:07:53,600 --> 00:07:58,240
Speaker 1: me that if you have chloroquin with zomax, the results

148
00:07:58,240 --> 00:08:02,280
Speaker 1: are amazing. Then we have convalescent plasma, which is what

149
00:08:02,320 --> 00:08:06,040
Speaker 1: they've discovered is is somebody that had corona and they

150
00:08:06,080 --> 00:08:09,560
Speaker 1: build antibodies to corona, and then you take the blood

151
00:08:09,560 --> 00:08:13,880
Speaker 1: plasma out after they have gotten better, and that's an

152
00:08:13,920 --> 00:08:17,239
Speaker 1: important number. And they're showing people that are in really

153
00:08:17,280 --> 00:08:21,920
Speaker 1: bad shape showing drastic turnarounds in twenty four hours. That's huge.

154
00:08:22,400 --> 00:08:25,280
Speaker 1: That's what our that's how great our medical researchers are.

155
00:08:25,560 --> 00:08:32,600
Speaker 1: Then you have Ramdzevie, an RNA inhibitor was used for ebola,

156
00:08:32,640 --> 00:08:35,680
Speaker 1: and Sara's great promise there on the good news front

157
00:08:35,679 --> 00:08:38,840
Speaker 1: in terms of progress we are making, Congressman Mark Greene said,

158
00:08:38,840 --> 00:08:42,640
Speaker 1: there are three international studies China, Australia, France, all of

159
00:08:42,679 --> 00:08:48,200
Speaker 1: them showing that chlora quinn with arrhythmomiacin is a hundred

160
00:08:48,280 --> 00:08:53,440
Speaker 1: percent effective in treating corona. In as little as six days. Now. Okay,

161
00:08:53,920 --> 00:08:56,240
Speaker 1: now I was watching this on Shannon Bream Show last night,

162
00:08:56,760 --> 00:09:01,480
Speaker 1: the old reliable malaria drug claricquin. Now you're thinking, okay,

163
00:09:01,559 --> 00:09:03,720
Speaker 1: we're gonna run out of chloroquin. Well, I have more

164
00:09:03,760 --> 00:09:07,839
Speaker 1: good news. Two companies now are ramping up production of chloroquin.

165
00:09:08,160 --> 00:09:10,480
Speaker 1: I think we probably have enough zithromax. If not, they'll

166
00:09:10,559 --> 00:09:14,000
Speaker 1: increase the supplies for that too. And after the President's

167
00:09:14,040 --> 00:09:17,720
Speaker 1: comments about it, and I had just been getting wind

168
00:09:17,760 --> 00:09:19,839
Speaker 1: of this that there was going to be some FDA

169
00:09:20,000 --> 00:09:22,719
Speaker 1: changing the FDA rules, that's huge too. That's a new

170
00:09:22,760 --> 00:09:29,600
Speaker 1: paradigm anyway. So we have two facilities pharmaceutical companies my Land.

171
00:09:30,240 --> 00:09:35,920
Speaker 1: They've restarted their production of hydroxy chloroquin sulfate tablets. They

172
00:09:35,960 --> 00:09:38,800
Speaker 1: also make it intravenously and it seems to work even faster.

173
00:09:40,080 --> 00:09:43,400
Speaker 1: That's how much I'm reading in terms of literature. And

174
00:09:43,720 --> 00:09:45,720
Speaker 1: that's in West Virginia. They expect to be in a

175
00:09:45,720 --> 00:09:49,160
Speaker 1: position to start supplying tablets by mid April, produce fifty

176
00:09:49,200 --> 00:09:53,040
Speaker 1: million of them. Teva Pharmaceutical Industries they're now going to

177
00:09:53,120 --> 00:09:59,200
Speaker 1: produce additional chloroquin sulfate tablets after the announcement they donated

178
00:09:59,240 --> 00:10:02,880
Speaker 1: six million bublits to hospitals all across the country. How

179
00:10:02,880 --> 00:10:06,240
Speaker 1: amazing are they? Thank you? What amazing people. That's the

180
00:10:06,280 --> 00:10:10,360
Speaker 1: best of America right there. Walmart, they've announced plans to

181
00:10:10,440 --> 00:10:14,000
Speaker 1: hire one hundred and fifty thousand new workers. It was

182
00:10:14,000 --> 00:10:16,000
Speaker 1: in the New York Post they said that it would

183
00:10:16,040 --> 00:10:19,280
Speaker 1: hire one hundred and fifty thousand hourly workers in the US,

184
00:10:19,280 --> 00:10:24,079
Speaker 1: citing a jump in shoppers because of what's going on now.

185
00:10:24,240 --> 00:10:27,559
Speaker 1: Amazon dot Com not exactly the biggest fan of who's

186
00:10:27,600 --> 00:10:31,120
Speaker 1: the guy that owns Amazon Bezos? You know whatever, good

187
00:10:31,120 --> 00:10:34,160
Speaker 1: for him. Anyway, they're gonna they announced they're gonna hire

188
00:10:34,320 --> 00:10:38,240
Speaker 1: one hundred thousand warehouse and delivery work drivers in the US.

189
00:10:38,800 --> 00:10:42,360
Speaker 1: That's awesome. I think that's great news, even Congress, And

190
00:10:42,400 --> 00:10:45,160
Speaker 1: I'm really pissed off at a few people. And I'm

191
00:10:45,160 --> 00:10:48,720
Speaker 1: gonna be very honest, I I it's I want to

192
00:10:48,760 --> 00:10:53,040
Speaker 1: burst a blood vessel over these people. I want answers.

193
00:10:53,080 --> 00:10:56,920
Speaker 1: We have calls into Senator Burr's office, Kelly Loffler's office,

194
00:10:57,280 --> 00:11:01,760
Speaker 1: Diane Feinstein's office, in James Enhoff office about them selling

195
00:11:02,280 --> 00:11:09,559
Speaker 1: their stocks after they had learned privately behind closed doors,

196
00:11:09,720 --> 00:11:12,840
Speaker 1: that this might be coming, this might happen, et cetera,

197
00:11:12,840 --> 00:11:16,959
Speaker 1: et cetera. Are people kidding me? I mean, Diane Feinstein, really,

198
00:11:17,120 --> 00:11:19,640
Speaker 1: she's selling up to a million dollars a stock, her

199
00:11:19,720 --> 00:11:23,880
Speaker 1: husband up to five million dollars in half four hundred thousand.

200
00:11:25,160 --> 00:11:27,880
Speaker 1: I'm looking at that. I mean, maybe there's good answers.

201
00:11:27,880 --> 00:11:29,120
Speaker 1: I don't know. I don't want to jump on the

202
00:11:29,360 --> 00:11:32,280
Speaker 1: but it doesn't look like it. You know, in half,

203
00:11:32,320 --> 00:11:34,840
Speaker 1: I guess one hundred and fifty and shares of Wyndham

204
00:11:34,920 --> 00:11:38,480
Speaker 1: Hotels and Resorts, which lost two thirds of its value.

205
00:11:39,320 --> 00:11:42,040
Speaker 1: I mean, people are just so stupid and so selfish.

206
00:11:42,520 --> 00:11:44,640
Speaker 1: I mean, if they did that, I don't even have

207
00:11:44,679 --> 00:11:46,640
Speaker 1: words to describe it. And by the way, half the

208
00:11:46,720 --> 00:11:50,480
Speaker 1: medium mob just despicable. Joe Biden, I mean, I got

209
00:11:50,480 --> 00:11:52,960
Speaker 1: a list of crap that this idiot's been saying and doing.

210
00:11:53,240 --> 00:11:55,480
Speaker 1: Is one lie after another. Link this to our website,

211
00:11:55,679 --> 00:11:59,400
Speaker 1: the American Spectator. You know, he's getting fifty. They're running

212
00:11:59,480 --> 00:12:02,520
Speaker 1: they're trying to raise money off Corona. You have superpacks

213
00:12:02,559 --> 00:12:06,160
Speaker 1: running ads against Corona, you know, distorting the President's point

214
00:12:06,200 --> 00:12:11,160
Speaker 1: of view by falsely editing Donald Trump's words. Even the

215
00:12:11,200 --> 00:12:14,600
Speaker 1: Washington Post gave him four pinocchios for that. You know,

216
00:12:14,679 --> 00:12:17,600
Speaker 1: all the things that he's been saying that the Trump

217
00:12:17,640 --> 00:12:21,600
Speaker 1: administration betrayed the public, and the World Health Organization offered

218
00:12:21,640 --> 00:12:25,240
Speaker 1: testing kits now fake news. That wasn't true. It wasn't

219
00:12:25,240 --> 00:12:29,000
Speaker 1: true at all. And then, you know, before the debate,

220
00:12:29,000 --> 00:12:32,520
Speaker 1: Biden another false claim the administration had his now debunked

221
00:12:32,520 --> 00:12:36,840
Speaker 1: cutting our investment in global health. They were woefully unprepared. Yet, no,

222
00:12:38,080 --> 00:12:42,679
Speaker 1: that's not true either, because what it turns out is

223
00:12:42,760 --> 00:12:46,200
Speaker 1: there were no funding cuts to the nih CDC. There

224
00:12:46,200 --> 00:12:50,600
Speaker 1: were increases. Why don't you just tell the truth? You know,

225
00:12:50,640 --> 00:12:53,360
Speaker 1: the Biden goes on attacking the president day in and

226
00:12:53,400 --> 00:12:54,800
Speaker 1: day out. You can see the guy is out there

227
00:12:54,880 --> 00:12:57,280
Speaker 1: hanging out there every day and he's trying to change

228
00:12:57,280 --> 00:13:00,360
Speaker 1: every rule that has ever been written. And there are

229
00:13:00,360 --> 00:13:03,600
Speaker 1: people I'll never thought I'd say these words. Gavin Newsom

230
00:13:03,840 --> 00:13:06,480
Speaker 1: is working with the President and they working well together.

231
00:13:06,559 --> 00:13:10,720
Speaker 1: Governor Cuomo, same thing, and good for all of them.

232
00:13:10,840 --> 00:13:13,000
Speaker 1: Right now, it's about the health and the safety and

233
00:13:13,040 --> 00:13:15,319
Speaker 1: security American people. We can go back to the election

234
00:13:15,400 --> 00:13:17,600
Speaker 1: when this is all done, and we can go back to,

235
00:13:17,800 --> 00:13:20,160
Speaker 1: you know, beating up Panity and beating up the mob,

236
00:13:20,480 --> 00:13:24,920
Speaker 1: I mean, they're despicable, and the bludgeoning of Trump. And

237
00:13:25,040 --> 00:13:26,800
Speaker 1: we would put a timeline of the things I said,

238
00:13:26,840 --> 00:13:28,800
Speaker 1: just to correct the record. If if I had time,

239
00:13:28,800 --> 00:13:30,680
Speaker 1: I would get into more detail, but it's not the time.

240
00:13:32,559 --> 00:13:34,640
Speaker 1: Let you roll along Sean Hannity Show eight hundred nine

241
00:13:34,679 --> 00:13:36,920
Speaker 1: for one show, and let me give you some numbers,

242
00:13:37,000 --> 00:13:39,880
Speaker 1: and I will urge you to just take it what

243
00:13:39,960 --> 00:13:41,800
Speaker 1: it's worth and expect that the numbers are going to

244
00:13:41,840 --> 00:13:44,800
Speaker 1: go up exponentially in the next few weeks. And then

245
00:13:45,080 --> 00:13:47,400
Speaker 1: the hope is the plateau and then the decline, which

246
00:13:47,400 --> 00:13:50,360
Speaker 1: we've seen in South Korea and China and Japan and

247
00:13:50,440 --> 00:13:55,199
Speaker 1: other countries. Two hundred and sixty seven thousand, nine hundred

248
00:13:55,240 --> 00:14:01,120
Speaker 1: and twenty cases worldwide as of now world wide eleven thousand,

249
00:14:01,200 --> 00:14:06,000
Speaker 1: one hundred and eighty seven deaths. The percentage of those

250
00:14:06,200 --> 00:14:11,240
Speaker 1: contracting and fully recovered are about one in three. Most

251
00:14:11,240 --> 00:14:14,040
Speaker 1: are in the process of recovering active but not fully

252
00:14:14,080 --> 00:14:18,319
Speaker 1: recovered yet. But again, you know, it wasn't really until

253
00:14:18,640 --> 00:14:20,880
Speaker 1: I guess late last week that we saw that one

254
00:14:21,000 --> 00:14:23,400
Speaker 1: video that it is. Now we are learning it can

255
00:14:23,560 --> 00:14:27,920
Speaker 1: impact younger people and the CDC put out yesterday that

256
00:14:27,960 --> 00:14:30,240
Speaker 1: it can impact younger people, so that this is not

257
00:14:30,360 --> 00:14:33,680
Speaker 1: just what they originally told us, which was it's only

258
00:14:33,760 --> 00:14:36,160
Speaker 1: impacting old people. Now, if you're in an elderly home

259
00:14:36,280 --> 00:14:38,160
Speaker 1: or a nursing home, that's the worst place, you know,

260
00:14:38,160 --> 00:14:40,040
Speaker 1: that's where it's most active, and that's where the most

261
00:14:40,120 --> 00:14:43,400
Speaker 1: amount of deaths are occurring. But I am sure that

262
00:14:43,680 --> 00:14:45,560
Speaker 1: you know. The one thing that we're seeing though, this

263
00:14:45,640 --> 00:14:48,160
Speaker 1: is where you know, we have to give props to

264
00:14:48,200 --> 00:14:52,240
Speaker 1: all these medical professionals. The chloroquin especially when that is

265
00:14:52,240 --> 00:14:57,960
Speaker 1: accompanied by rithmacin and and convalescent plasma and these other things.

266
00:14:57,960 --> 00:15:00,840
Speaker 1: They're showing amazing progress. I'll explain wh back quick breaking

267
00:15:01,440 --> 00:15:03,160
Speaker 1: all right, twenty five ounce at the top of the hour,

268
00:15:03,240 --> 00:15:05,160
Speaker 1: eight hundred and nine four one sewn if you want

269
00:15:05,200 --> 00:15:06,360
Speaker 1: to be a part of the program. So I'm giving

270
00:15:06,400 --> 00:15:09,480
Speaker 1: you the latest numbers, which is worldwide, two hundred and

271
00:15:09,480 --> 00:15:12,920
Speaker 1: sixty seven thousand, nine hundred twenty eleven, one hundred and

272
00:15:12,920 --> 00:15:17,280
Speaker 1: eighty seven deaths, a full third fully recovered. Expected that

273
00:15:17,360 --> 00:15:22,240
Speaker 1: the vast overwhelming majority will recover. And I just has

274
00:15:22,280 --> 00:15:24,760
Speaker 1: to be some perspective with these numbers, because numbers are scary.

275
00:15:24,760 --> 00:15:26,200
Speaker 1: And if you're just looking, oh my gosh, we went

276
00:15:26,280 --> 00:15:28,720
Speaker 1: up x percent today, what more testing is happening. That's

277
00:15:28,720 --> 00:15:33,120
Speaker 1: the whole idea of this fifteen day period. And when

278
00:15:33,240 --> 00:15:38,080
Speaker 1: you look at for example, there were go back to

279
00:15:38,120 --> 00:15:41,160
Speaker 1: two thousand and nine and ten h one n one,

280
00:15:41,200 --> 00:15:44,280
Speaker 1: we had sixty point eight million Americans that contracted that

281
00:15:44,280 --> 00:15:48,000
Speaker 1: that was a worldwide pandemic. We had in a year

282
00:15:48,080 --> 00:15:51,440
Speaker 1: twelve thousand and what do we have four hundred and

283
00:15:51,440 --> 00:15:56,040
Speaker 1: sixty seven hundred sixty nine Americans die, hundreds of Americans

284
00:15:56,080 --> 00:16:01,120
Speaker 1: were hospitalized as a result. And so wait, even you're

285
00:16:01,120 --> 00:16:04,800
Speaker 1: seeing in China, South Korea, is this dramatic increase than

286
00:16:04,840 --> 00:16:07,640
Speaker 1: a precipitous drop off. The big freason that Italy and

287
00:16:07,720 --> 00:16:10,960
Speaker 1: Europe has had a bigger problem is they had direct

288
00:16:11,040 --> 00:16:17,120
Speaker 1: flights from Wuham Province into Italy direct and apparently there's

289
00:16:17,120 --> 00:16:19,160
Speaker 1: like one hundred thousand people to go back and forth

290
00:16:19,200 --> 00:16:25,160
Speaker 1: in the textile industry and the correlating industries associated with this,

291
00:16:25,240 --> 00:16:26,960
Speaker 1: so that that is part of the reason they have

292
00:16:27,080 --> 00:16:30,040
Speaker 1: had the greater struggle here. Obviously, you know we're looking

293
00:16:30,080 --> 00:16:32,160
Speaker 1: at this in the United States, and this is what

294
00:16:32,320 --> 00:16:34,560
Speaker 1: makes this travel band so key. This is what We're

295
00:16:34,600 --> 00:16:37,880
Speaker 1: not overloading the hospital systems thanks to the public private

296
00:16:37,920 --> 00:16:40,960
Speaker 1: partnership in the and now we're beginning to put out

297
00:16:41,360 --> 00:16:45,560
Speaker 1: drive up testing. I think that's important. The FDA rule changes,

298
00:16:45,760 --> 00:16:48,880
Speaker 1: that is important, and I think as we go further,

299
00:16:49,200 --> 00:16:52,120
Speaker 1: we can see that all these you know, American companies

300
00:16:52,120 --> 00:16:54,640
Speaker 1: are just rising to the occasion in ways we've never

301
00:16:54,680 --> 00:16:59,960
Speaker 1: seen before. Again, the chloroquin. I first I was getting

302
00:17:00,120 --> 00:17:04,679
Speaker 1: word from some of my sources FDA looking into different things,

303
00:17:04,760 --> 00:17:08,000
Speaker 1: and then I googled it and I found chloroquin. Two

304
00:17:08,080 --> 00:17:11,399
Speaker 1: days ago, I read it on air with one study

305
00:17:11,640 --> 00:17:14,560
Speaker 1: in consultation with Stanford Medical School e C. And I'm like, wow,

306
00:17:15,119 --> 00:17:17,440
Speaker 1: but we're now seeing and this is Congressman Mark Green

307
00:17:18,280 --> 00:17:20,879
Speaker 1: He's pointing out but again this is preliminary, but it

308
00:17:20,960 --> 00:17:24,720
Speaker 1: certainly is the hope that I think Americans should have. Rightly, so,

309
00:17:24,880 --> 00:17:30,240
Speaker 1: international studies China, Australia, France that chloroquin with zithromyasin is

310
00:17:30,240 --> 00:17:33,600
Speaker 1: one hundred percent effective in treating corona, and especially if

311
00:17:33,640 --> 00:17:35,480
Speaker 1: it's not even in pill form, but if it is

312
00:17:35,840 --> 00:17:39,520
Speaker 1: an IV it's even working better. Then. Of course, I've

313
00:17:39,560 --> 00:17:43,600
Speaker 1: been discussing a great detail after yesterday the convalescent plasma.

314
00:17:43,720 --> 00:17:46,879
Speaker 1: Those that get CORONA and they get well, and you

315
00:17:46,960 --> 00:17:50,199
Speaker 1: take their blood plasma and it has the antibodies for

316
00:17:50,240 --> 00:17:53,520
Speaker 1: corona and those that are even very sick, the early

317
00:17:53,600 --> 00:17:57,600
Speaker 1: signs are that once they get an IV that dramatic

318
00:17:57,640 --> 00:18:02,680
Speaker 1: shifts and changes are helping those that are even the sickest.

319
00:18:03,280 --> 00:18:06,400
Speaker 1: On the economic side, we have all these companies now

320
00:18:07,040 --> 00:18:10,360
Speaker 1: saying that in the pharmaceutical industry, Hey, we're upping our

321
00:18:10,400 --> 00:18:14,360
Speaker 1: production of chloroquinn. You're gonna to name, You're gonna be familiar,

322
00:18:14,440 --> 00:18:18,000
Speaker 1: so get used to it. We have Amazon, dot Com, Walmart,

323
00:18:18,880 --> 00:18:21,639
Speaker 1: and other companies now announced they're gonna be hiring hundreds

324
00:18:21,640 --> 00:18:24,520
Speaker 1: of thousands of people. How cool is that. That's awesome,

325
00:18:24,760 --> 00:18:27,920
Speaker 1: Doctor Fauci, A member. Took years to get the virus

326
00:18:28,000 --> 00:18:31,640
Speaker 1: sequences in the past, while we already have within months,

327
00:18:31,760 --> 00:18:34,720
Speaker 1: a coronavirus trial has begun in the US. That is

328
00:18:35,240 --> 00:18:40,119
Speaker 1: really positive update for everybody. And they have volunteers in

329
00:18:40,160 --> 00:18:43,439
Speaker 1: the experimental test program. That's that's an update as well.

330
00:18:43,760 --> 00:18:46,480
Speaker 1: I know there's been shortages of purell. We now know

331
00:18:46,840 --> 00:18:50,720
Speaker 1: distilleries around America, but purell has to be for it

332
00:18:50,800 --> 00:18:55,000
Speaker 1: to work. Sixty percent alcohol now we have distilleries. They're

333
00:18:55,040 --> 00:18:57,480
Speaker 1: now making their own hand sanitizers and giving it away

334
00:18:57,480 --> 00:19:01,200
Speaker 1: for free. That's how great Americans are. Unbelievable. Johns Hopkins

335
00:19:01,240 --> 00:19:04,680
Speaker 1: researchers saying that the antibodies that are recovered this is

336
00:19:04,680 --> 00:19:07,120
Speaker 1: an update to the plasma issue that I've been telling

337
00:19:07,119 --> 00:19:11,000
Speaker 1: you about. But the vaccine being tested in Seattle isn't

338
00:19:11,040 --> 00:19:16,320
Speaker 1: the only potential treatment. Johns Hopkins has been reviving a

339
00:19:16,440 --> 00:19:19,479
Speaker 1: century old blood derived treatment for use in the US

340
00:19:20,000 --> 00:19:23,920
Speaker 1: and the hopes of slowing the spread and helping to

341
00:19:24,119 --> 00:19:27,399
Speaker 1: get people well. And that's using the antibodies from the

342
00:19:27,400 --> 00:19:30,720
Speaker 1: blood plasma or the serum of people that are recovered.

343
00:19:31,080 --> 00:19:35,359
Speaker 1: That is now happening. South Korea's outbreak has finally turned

344
00:19:35,400 --> 00:19:37,960
Speaker 1: the corner and abating, according to news reports that I

345
00:19:38,000 --> 00:19:43,360
Speaker 1: read earlier today in Reuters, among them that the new infections,

346
00:19:43,400 --> 00:19:47,399
Speaker 1: the recovery cases, new infections on hank let me read it.

347
00:19:47,680 --> 00:19:52,639
Speaker 1: South Korea recorded more COVID nineteen recovery cases on March

348
00:19:52,800 --> 00:19:56,560
Speaker 1: sixth than new infections for the first time since it began.

349
00:19:56,760 --> 00:20:00,520
Speaker 1: And that has been now happening on a more dramatic scale.

350
00:20:02,359 --> 00:20:04,320
Speaker 1: I'm not even gonna talk about China. I'm so angry

351
00:20:04,320 --> 00:20:08,520
Speaker 1: with them. Or Australian researchers attesting two other drugs as

352
00:20:08,600 --> 00:20:12,760
Speaker 1: potential cures for the virus. All good news. University of

353
00:20:12,880 --> 00:20:16,720
Speaker 1: Queensland Center Clinical Research. They found two different medications, both

354
00:20:16,760 --> 00:20:21,919
Speaker 1: of which are registered and available in Australia, and apparently

355
00:20:21,960 --> 00:20:24,960
Speaker 1: in their early studies have completely wiped out traces of

356
00:20:25,000 --> 00:20:27,920
Speaker 1: the disease and test tubes. Now they're going to begin,

357
00:20:28,000 --> 00:20:30,240
Speaker 1: I think, the process of human trials. In that case,

358
00:20:31,000 --> 00:20:33,119
Speaker 1: you want to know about another great American business? What

359
00:20:33,160 --> 00:20:35,800
Speaker 1: about uber eats. When did I first ask you to

360
00:20:35,840 --> 00:20:38,440
Speaker 1: download on my phone Uber eats? Linda, what like two

361
00:20:38,440 --> 00:20:41,760
Speaker 1: months ago? I'm so stupid and behind the curve anyway,

362
00:20:41,760 --> 00:20:43,800
Speaker 1: and I've only used it like once or twice. But

363
00:20:43,840 --> 00:20:47,160
Speaker 1: they're now supporting the restaurant industry by waiving all delivery

364
00:20:47,200 --> 00:20:50,960
Speaker 1: fees for one hundred thousand restaurants. Pretty awesome. We have

365
00:20:51,160 --> 00:20:56,000
Speaker 1: Dutch and Canadian researchers reporting additional breakthrough research. This is

366
00:20:56,040 --> 00:20:58,280
Speaker 1: why we call it facts without Fear. We're trying to

367
00:20:58,320 --> 00:21:00,680
Speaker 1: give you information that is helpful and to keep it

368
00:21:00,720 --> 00:21:03,679
Speaker 1: in perspective. I mean, when you have pandemic, when you

369
00:21:03,720 --> 00:21:05,879
Speaker 1: have tens and thousands of Americans that die from the

370
00:21:05,880 --> 00:21:09,639
Speaker 1: flu every year. Is do we like that? Of course not.

371
00:21:10,680 --> 00:21:14,560
Speaker 1: And when you when you have information that gives some perspective,

372
00:21:15,359 --> 00:21:19,879
Speaker 1: that's important too, so that people understand, Okay, we lost

373
00:21:20,400 --> 00:21:22,800
Speaker 1: up to five hundred and seventy five thousand people in

374
00:21:22,840 --> 00:21:26,080
Speaker 1: the last pandemic, other pandemics, we've lost a lot more.

375
00:21:26,720 --> 00:21:29,040
Speaker 1: And then you see all of this good that is

376
00:21:29,080 --> 00:21:33,240
Speaker 1: now coming to fruition, and frankly, I think we're rewriting

377
00:21:33,280 --> 00:21:36,280
Speaker 1: the entire books on pandemics going forward. Right now, you're

378
00:21:36,320 --> 00:21:40,080
Speaker 1: watching history unfold. The President is not going to order

379
00:21:40,080 --> 00:21:42,560
Speaker 1: a nationwide and corona shutdown. I know there's been a

380
00:21:42,600 --> 00:21:46,639
Speaker 1: lot of stuff on the internet about this. President also

381
00:21:46,720 --> 00:21:51,480
Speaker 1: praising governors in Washington State, California, New York, and Florida,

382
00:21:51,520 --> 00:21:55,760
Speaker 1: the Midwest and places that are having more of a

383
00:21:55,800 --> 00:21:58,639
Speaker 1: breakout places that are not, and he said he's not

384
00:21:58,760 --> 00:22:02,720
Speaker 1: considering a now lockdown. Okay, take it from him, and

385
00:22:02,800 --> 00:22:07,040
Speaker 1: not some dope keyboard warrior in his underwear trying to

386
00:22:07,160 --> 00:22:12,600
Speaker 1: fuel fear. Anthony Fauci said that as it relates to California,

387
00:22:12,680 --> 00:22:16,320
Speaker 1: Governor Newsom made some very important, difficult decisions for him

388
00:22:16,359 --> 00:22:18,639
Speaker 1: and Governor Cuomo did today and he'll join us at

389
00:22:18,680 --> 00:22:21,040
Speaker 1: the top of the next hour. For New York, forty

390
00:22:21,040 --> 00:22:23,000
Speaker 1: percent of the cases are in this state where I

391
00:22:23,040 --> 00:22:27,520
Speaker 1: am right now. All the masks have been ordered, all

392
00:22:27,560 --> 00:22:31,960
Speaker 1: the ventilators are now getting in place, the Hoss Navy

393
00:22:32,000 --> 00:22:34,040
Speaker 1: Hospital ships, and now one to the east coast, one

394
00:22:34,160 --> 00:22:37,760
Speaker 1: going to the west coast. I don't think Medicare for

395
00:22:37,840 --> 00:22:40,800
Speaker 1: All is acting particularly well now. There's a lot of

396
00:22:40,880 --> 00:22:44,160
Speaker 1: questions out there. For example, what do we do if

397
00:22:44,200 --> 00:22:48,600
Speaker 1: you think you were exposed to the virus. There's different

398
00:22:48,600 --> 00:22:52,080
Speaker 1: points of view on that I saw and read in

399
00:22:52,160 --> 00:22:55,639
Speaker 1: one particular place. According to a doctor Jean As, an

400
00:22:55,600 --> 00:23:02,160
Speaker 1: emergency physician mass General in Boston, Massachusetts General, it could

401
00:23:02,160 --> 00:23:05,240
Speaker 1: take as long as fourteen days for the symptoms to emerge.

402
00:23:05,280 --> 00:23:08,080
Speaker 1: In other words, if you think you were exposed, you

403
00:23:08,240 --> 00:23:10,560
Speaker 1: really got to pay close attention. But even if you

404
00:23:10,640 --> 00:23:13,320
Speaker 1: got the test early on, it might not be the

405
00:23:13,359 --> 00:23:16,360
Speaker 1: accurate test. You got to go through the fourteen day

406
00:23:16,400 --> 00:23:21,159
Speaker 1: period before you would know for sure if whether you

407
00:23:21,240 --> 00:23:23,320
Speaker 1: have it, Because if all of a sudden, say you

408
00:23:23,400 --> 00:23:25,280
Speaker 1: get it on day two, the test after you think

409
00:23:25,280 --> 00:23:27,000
Speaker 1: you might have been exposed, you're gonna have to get

410
00:23:27,040 --> 00:23:29,600
Speaker 1: it again fourteen days later. I've talked to people that

411
00:23:29,640 --> 00:23:32,680
Speaker 1: have had the test. They said, it is brutal. They

412
00:23:32,760 --> 00:23:35,160
Speaker 1: take a swab, they shove it deep into your nose,

413
00:23:35,280 --> 00:23:37,560
Speaker 1: takes a hard right turn to your eye socket, and

414
00:23:37,640 --> 00:23:41,479
Speaker 1: it hurts. I talked to one guy said, now tearing up,

415
00:23:41,520 --> 00:23:43,919
Speaker 1: it was so hard to get just you know, just

416
00:23:43,960 --> 00:23:46,520
Speaker 1: giving you facts without fear. It's not the worst thing

417
00:23:46,560 --> 00:23:49,040
Speaker 1: in our life. I should tell the story about what

418
00:23:49,080 --> 00:23:51,520
Speaker 1: doctor Colburn did to me that one day, Lynda. I

419
00:23:51,560 --> 00:23:54,000
Speaker 1: don't think people would like that. Yeah, there's no fear there.

420
00:23:54,040 --> 00:23:56,360
Speaker 1: That was lovely what you just said. Oh no, no,

421
00:23:56,440 --> 00:23:58,480
Speaker 1: there's no fear there. No, you know the one I'm

422
00:23:58,480 --> 00:24:01,639
Speaker 1: talking about, thirteen needles, third teen and he goes, no, no, no,

423
00:24:02,200 --> 00:24:04,920
Speaker 1: he goes, that's diet, that's not blood. I'm like, oh, okay.

424
00:24:06,640 --> 00:24:09,320
Speaker 1: I don't know why some people are ignoring social distancing

425
00:24:09,320 --> 00:24:11,600
Speaker 1: advice and not listening to the task force. I don't

426
00:24:11,600 --> 00:24:13,920
Speaker 1: even know what to say about them. There's an interesting

427
00:24:14,040 --> 00:24:19,040
Speaker 1: ape story about quarantine shaming. You know, I'm just telling

428
00:24:19,080 --> 00:24:21,760
Speaker 1: you for the interest if you're young and healthy, and

429
00:24:22,000 --> 00:24:25,240
Speaker 1: even though now we're discovering for the first time that. Yeah,

430
00:24:25,280 --> 00:24:27,639
Speaker 1: young people can now get this. We did not know

431
00:24:27,760 --> 00:24:31,359
Speaker 1: that up until this British guy comes out and says,

432
00:24:31,760 --> 00:24:34,520
Speaker 1: we're not paying attention to this. Look here and now

433
00:24:34,560 --> 00:24:36,920
Speaker 1: the CDC is confirmed it this week. You should pay

434
00:24:36,960 --> 00:24:39,080
Speaker 1: attention to it. But if nothing else, why don't you

435
00:24:39,119 --> 00:24:41,680
Speaker 1: do it for grandma and grandpa that might be sick

436
00:24:41,760 --> 00:24:47,280
Speaker 1: underlying conditions or compromised immune systems. Do it for them anyway,

437
00:24:47,400 --> 00:24:51,600
Speaker 1: all overseas travel is obviously stopped. I'll let the psychiatrists

438
00:24:51,680 --> 00:24:56,480
Speaker 1: deal with. You know, people that emotionally are very distraught

439
00:24:56,760 --> 00:25:00,280
Speaker 1: fearing the virus more than anything else. You know, I

440
00:25:00,359 --> 00:25:04,720
Speaker 1: just I live a life that is you know, honestly,

441
00:25:04,760 --> 00:25:07,800
Speaker 1: I just you cannot live your life and fear, but

442
00:25:07,960 --> 00:25:13,800
Speaker 1: live your life smartly, make smart decisions, be strategic listen.

443
00:25:13,840 --> 00:25:16,040
Speaker 1: You know, if you wear gloves and a mask, guess

444
00:25:16,080 --> 00:25:18,280
Speaker 1: what if you put if you touch your nose, you

445
00:25:18,359 --> 00:25:20,320
Speaker 1: might remind yourself, Yeah, I don't like the feel of

446
00:25:20,359 --> 00:25:22,919
Speaker 1: that glove. Stuff like that. The smart things that you

447
00:25:22,920 --> 00:25:26,760
Speaker 1: can do. Fear is not going to help you. Realistic

448
00:25:26,840 --> 00:25:32,320
Speaker 1: strategic listening, being smart, that's going to help you. I'm

449
00:25:32,359 --> 00:25:35,200
Speaker 1: hearing that truckers are gonna get the help that they need.

450
00:25:35,280 --> 00:25:38,439
Speaker 1: That is critical because they are our first responders and

451
00:25:38,800 --> 00:25:41,320
Speaker 1: all of our groceries and all of our medicines come

452
00:25:41,520 --> 00:25:44,720
Speaker 1: via truck. I got to give a tip of the

453
00:25:44,760 --> 00:25:47,080
Speaker 1: hat to the grocers around the country because they have

454
00:25:47,119 --> 00:25:49,600
Speaker 1: all gotten on board. They've been talking to the President

455
00:25:49,920 --> 00:25:52,200
Speaker 1: and they are They're moving heaven and earth to keep

456
00:25:52,240 --> 00:25:56,280
Speaker 1: the shelves filled. That's all good news for those Now.

457
00:25:56,359 --> 00:25:59,359
Speaker 1: I know for a lot of you, and I'm talking

458
00:25:59,400 --> 00:26:03,400
Speaker 1: about some of my best friends in this life that Okay,

459
00:26:03,440 --> 00:26:06,320
Speaker 1: restaurants are closed. Now I've mentioned some of my favorite

460
00:26:06,320 --> 00:26:09,760
Speaker 1: restaurants and my favorite pizza plays, Marios and everything in between,

461
00:26:09,840 --> 00:26:14,320
Speaker 1: and my favorite Chinese place. Now here's the thing. A

462
00:26:14,359 --> 00:26:16,679
Speaker 1: lot of these stores are offering service where you can

463
00:26:16,760 --> 00:26:19,480
Speaker 1: drive up, pick it up and get out and use

464
00:26:19,520 --> 00:26:22,280
Speaker 1: it there, or they're setting up delivery services for the

465
00:26:22,320 --> 00:26:24,880
Speaker 1: first time. If you have a favorite restaurant, they may

466
00:26:24,920 --> 00:26:28,320
Speaker 1: not have the ability to contact you, contact them say hey,

467
00:26:28,440 --> 00:26:30,920
Speaker 1: you guys, are you doing pick up? Are you doing delivery?

468
00:26:31,560 --> 00:26:35,080
Speaker 1: And does that take care or mitigate all of their losses? Know,

469
00:26:35,200 --> 00:26:37,840
Speaker 1: but it can keep their doors open and keep people

470
00:26:37,880 --> 00:26:40,560
Speaker 1: working in the interim. If you normally would do that.

471
00:26:40,600 --> 00:26:43,520
Speaker 1: As far as like those people that are just jackasses,

472
00:26:43,560 --> 00:26:45,800
Speaker 1: I can't really help with them right now. You know,

473
00:26:45,880 --> 00:26:49,119
Speaker 1: these these these senators have a lot to answer for.

474
00:26:49,960 --> 00:26:52,680
Speaker 1: You know, why did you sell all your stock when

475
00:26:52,800 --> 00:26:56,719
Speaker 1: you come out of these Corona meetings. I'm sorry, doesn't

476
00:26:56,720 --> 00:26:59,000
Speaker 1: look good. And I don't care if you're a Republican

477
00:26:59,040 --> 00:27:01,879
Speaker 1: a Democrat, I just don't because that's just not the

478
00:27:01,960 --> 00:27:05,040
Speaker 1: right decision. One thing we'll promise on this program is

479
00:27:05,040 --> 00:27:07,720
Speaker 1: we're going to give you all of the information and

480
00:27:07,840 --> 00:27:11,160
Speaker 1: let you decide. Now. Look, a majority of small business

481
00:27:11,160 --> 00:27:15,399
Speaker 1: owners are saying Corona's gonna disrupt their business. This is

482
00:27:15,400 --> 00:27:17,879
Speaker 1: what we've got to remember as a country too. You know,

483
00:27:17,960 --> 00:27:20,520
Speaker 1: my father grew up in the Depression, as mom died

484
00:27:20,960 --> 00:27:24,480
Speaker 1: as a result of complications from his childbirth. His parents

485
00:27:24,480 --> 00:27:27,400
Speaker 1: were dirt poor. You know, he was sent home to home,

486
00:27:27,520 --> 00:27:30,960
Speaker 1: went to fight World War Two. We've been through depressions

487
00:27:30,960 --> 00:27:36,600
Speaker 1: and world wars. We beat back fascism, communism, Nazism, imperial Japan,

488
00:27:36,760 --> 00:27:40,080
Speaker 1: radical Islamis since nine to eleven. You know, we beaten

489
00:27:40,080 --> 00:27:43,720
Speaker 1: back pandemics before, We've beaten back illnesses before. You know,

490
00:27:43,760 --> 00:27:45,680
Speaker 1: a lot of these illnesses from me a bullet of

491
00:27:45,760 --> 00:27:48,920
Speaker 1: sars to mayors and all in between, and h one

492
00:27:49,000 --> 00:27:52,399
Speaker 1: n one. It's never fun. What I like in the

493
00:27:52,480 --> 00:27:55,280
Speaker 1: sense that is happening here is in many ways. Now

494
00:27:55,280 --> 00:27:57,639
Speaker 1: we're going to deal with this all differently moving forward,

495
00:27:58,040 --> 00:28:01,320
Speaker 1: and it's going to save lives down the road, countless millions,

496
00:28:01,359 --> 00:28:05,240
Speaker 1: probably so business owners, though, they've got to get the help.

497
00:28:05,359 --> 00:28:09,359
Speaker 1: Washington has got to focus like a laser beam and

498
00:28:09,480 --> 00:28:12,040
Speaker 1: go through a list of every industry that is being

499
00:28:12,080 --> 00:28:15,160
Speaker 1: impacted by this. How they're going to help keep these

500
00:28:15,200 --> 00:28:19,360
Speaker 1: businesses afloat every hourly worker. You know, we don't need

501
00:28:19,400 --> 00:28:21,280
Speaker 1: to give them a pittance. They need to be able

502
00:28:21,320 --> 00:28:23,960
Speaker 1: to pay their mortgage, pay their rent, pay their car payment,

503
00:28:24,040 --> 00:28:27,280
Speaker 1: and tell their sons and daughters we have the money

504
00:28:27,280 --> 00:28:29,800
Speaker 1: for college that we put aside for you. That is,

505
00:28:29,840 --> 00:28:32,880
Speaker 1: if we rebuild Europe, we can certainly do that. If

506
00:28:32,920 --> 00:28:36,680
Speaker 1: we save the world from evil, we can certainly do that.

507
00:28:36,680 --> 00:28:39,280
Speaker 1: That is, you know, that's good use of government if

508
00:28:39,280 --> 00:28:41,120
Speaker 1: they can get their act together and do it the

509
00:28:41,200 --> 00:28:45,480
Speaker 1: right way. The second thing is that we've got to

510
00:28:45,520 --> 00:28:48,720
Speaker 1: help small business owners. That's why I'm urging you call

511
00:28:48,840 --> 00:28:52,320
Speaker 1: your local restaurant, your favorite pizza place, your favorite Chinese place,

512
00:28:52,360 --> 00:28:55,640
Speaker 1: your favorite whatever place, and say, hey, you're open. If

513
00:28:55,640 --> 00:28:59,200
Speaker 1: they're open, maybe go pick it up. They deliver, say hey,

514
00:28:59,200 --> 00:29:01,960
Speaker 1: would you deliver it? If the waiter that you are

515
00:29:02,000 --> 00:29:03,760
Speaker 1: familiar with comes to your house, you might want to

516
00:29:03,800 --> 00:29:07,800
Speaker 1: consider tipping the person. California has been dealing with some

517
00:29:07,800 --> 00:29:12,320
Speaker 1: specific challenges. We're watching what's going out there very very closely.

518
00:29:14,480 --> 00:29:16,479
Speaker 1: I don't know what to say about those people that

519
00:29:16,520 --> 00:29:20,280
Speaker 1: you can help. They just they never are gonna listen,

520
00:29:20,320 --> 00:29:23,440
Speaker 1: which is just unbelievable to me as far as the

521
00:29:23,480 --> 00:29:26,720
Speaker 1: long term prospects for the economy. Oh, by the way,

522
00:29:26,720 --> 00:29:29,959
Speaker 1: one mistake, somebody tell Netflix not to slow down because

523
00:29:30,000 --> 00:29:32,600
Speaker 1: Netflix is a lifeline. They said they didn't want the internet,

524
00:29:32,880 --> 00:29:35,560
Speaker 1: they don't want streaming to slow down. As a result,

525
00:29:36,000 --> 00:29:41,240
Speaker 1: I think people need it. There's MSDNC John Heilman, just

526
00:29:41,360 --> 00:29:46,120
Speaker 1: a jackass, nakedly racist Trump or whatever. I mean, it's

527
00:29:46,160 --> 00:29:49,840
Speaker 1: like Chinese, you know, communist Chinese propaganda, and they deserve

528
00:29:49,960 --> 00:29:52,480
Speaker 1: a lot of blame in this whole thing. But the

529
00:29:52,520 --> 00:29:56,120
Speaker 1: bottom line is simple. We have amazing Americans all stepping

530
00:29:56,240 --> 00:30:00,280
Speaker 1: up doing amazing things scientifically, medically, on the corporate level,

531
00:30:01,120 --> 00:30:03,480
Speaker 1: in every way, shape, matter of form you can hear.

532
00:30:03,960 --> 00:30:06,320
Speaker 1: You know what's the President and his task force every day.

533
00:30:06,320 --> 00:30:09,200
Speaker 1: Just listen to them and you decide for yourself if

534
00:30:09,240 --> 00:30:12,400
Speaker 1: they have all hands on deck, and you decide for yourself,

535
00:30:12,600 --> 00:30:16,640
Speaker 1: if this is a whole new paradigm shift, and you'll

536
00:30:16,640 --> 00:30:18,720
Speaker 1: make the ultimate decision all night, you'll bid the ultimate

537
00:30:18,760 --> 00:30:20,600
Speaker 1: jury in two and twenty eight days. As it relates

538
00:30:20,600 --> 00:30:23,800
Speaker 1: to an election, how many more beds can we get

539
00:30:23,840 --> 00:30:28,680
Speaker 1: in those hospitals, and we're working on that aggressively. At

540
00:30:28,720 --> 00:30:34,560
Speaker 1: the same time identifying new hospital beds. The Army Corps

541
00:30:34,560 --> 00:30:38,080
Speaker 1: of Engineers was with us yesterday. We had a very

542
00:30:38,080 --> 00:30:41,640
Speaker 1: good meeting. We're looking at sites across the state to

543
00:30:41,880 --> 00:30:48,360
Speaker 1: find existing facilities that could expeditiously be turned into healthcare facilities.

544
00:30:49,360 --> 00:30:52,320
Speaker 1: And again when I said the federal response is very welcome,

545
00:30:52,840 --> 00:30:54,840
Speaker 1: I want to thank the President. He said that he

546
00:30:54,840 --> 00:30:57,200
Speaker 1: would bring the Army Corps of Engineers here. They came

547
00:30:57,280 --> 00:30:59,280
Speaker 1: here the next day. I spoke to him last night

548
00:30:59,280 --> 00:31:04,280
Speaker 1: to follow up on meeting. So this is going forward aggressively.

549
00:31:05,000 --> 00:31:08,320
Speaker 1: His team has been on it. I know a team

550
00:31:08,360 --> 00:31:10,600
Speaker 1: when they're on it, and I know a team when

551
00:31:10,640 --> 00:31:13,320
Speaker 1: they're not on it. His team is on it. They've

552
00:31:13,320 --> 00:31:17,960
Speaker 1: been responsive late at night, early in the morning, and

553
00:31:18,040 --> 00:31:21,720
Speaker 1: they've thus far been doing everything that they can do.

554
00:31:21,880 --> 00:31:24,240
Speaker 1: And I want to say thank you, and I want

555
00:31:24,280 --> 00:31:27,360
Speaker 1: to say that I appreciate it. And they will have

556
00:31:27,440 --> 00:31:32,200
Speaker 1: nothing but cooperation and partnership from the State of New York.

557
00:31:33,240 --> 00:31:38,560
Speaker 1: And we're not Democrats and we're not Republicans. We are Americans.

558
00:31:38,640 --> 00:31:40,840
Speaker 1: At the end of the day. That's who we are,

559
00:31:41,720 --> 00:31:44,720
Speaker 1: and that's who we are when we are at our best.

560
00:31:45,080 --> 00:31:48,440
Speaker 1: In New York a doubling every day. They fear that

561
00:31:48,480 --> 00:31:50,719
Speaker 1: supplies are going to run out in a matter of weeks.

562
00:31:51,160 --> 00:31:54,480
Speaker 1: Yesterday Mayor Bill Dublasier pulled on you to mobilize the

563
00:31:54,520 --> 00:31:59,000
Speaker 1: military to deliver urgent supplies. Yesterday he said, quote, the

564
00:31:59,040 --> 00:32:00,920
Speaker 1: fate of New York City rest in the hands of

565
00:32:00,920 --> 00:32:03,320
Speaker 1: one man. He is in New Yorker, and right now

566
00:32:03,360 --> 00:32:07,160
Speaker 1: he is the training the city comes from. I've personally

567
00:32:07,200 --> 00:32:10,400
Speaker 1: spoken to emergency department nurses who say that they're being

568
00:32:10,400 --> 00:32:13,800
Speaker 1: told not to wear and ninety five masks because supplies

569
00:32:13,800 --> 00:32:16,960
Speaker 1: are so low. So how do you respond to those masks?

570
00:32:16,960 --> 00:32:22,920
Speaker 1: By Mayor Blasio, I think I'm dealing with the mayor

571
00:32:22,960 --> 00:32:25,360
Speaker 1: dealing with the governor, and the governor agrees with me,

572
00:32:25,400 --> 00:32:27,360
Speaker 1: and I agree with him. So far, we've been very

573
00:32:27,400 --> 00:32:30,120
Speaker 1: much in sync. I guess they're not agreeing with each

574
00:32:30,120 --> 00:32:33,600
Speaker 1: other necessarily, but the relationship with New York. I love

575
00:32:33,640 --> 00:32:35,200
Speaker 1: New York. I grew up in New York, as you

576
00:32:35,320 --> 00:32:38,920
Speaker 1: probably have heard, and the relationships been very good. And

577
00:32:39,800 --> 00:32:43,200
Speaker 1: I think the government and the governor have been getting

578
00:32:43,240 --> 00:32:47,000
Speaker 1: along incredibly well with the federal government. All right. New

579
00:32:47,080 --> 00:32:52,120
Speaker 1: York State now has forty percent of coronavirus cases. The

580
00:32:52,200 --> 00:32:56,560
Speaker 1: Governor of New York, Andrew Cuomo, signing an executive order

581
00:32:56,600 --> 00:33:00,640
Speaker 1: announcing today one hundred percent of New York's workforce must

582
00:33:00,680 --> 00:33:05,120
Speaker 1: stay home, including essential excluding essential services, and that would

583
00:33:05,160 --> 00:33:11,120
Speaker 1: exclude pharmacies and grocery stores and restaurant delivery services and

584
00:33:11,160 --> 00:33:13,640
Speaker 1: so on and so forth, the Governor calling it the

585
00:33:13,640 --> 00:33:17,240
Speaker 1: most drastic action that we can take, and that I

586
00:33:17,280 --> 00:33:20,560
Speaker 1: believe these policies will save lives. I believe they will too,

587
00:33:20,680 --> 00:33:23,440
Speaker 1: Governor Andrew Cuomo, the great State of New York. How

588
00:33:23,480 --> 00:33:28,480
Speaker 1: are you, sir, tired? I believe it now? Well, let

589
00:33:28,520 --> 00:33:30,440
Speaker 1: me let me let me compliment you. Normally, if you

590
00:33:30,520 --> 00:33:32,640
Speaker 1: are on the show, we would be arguing about taxes

591
00:33:32,880 --> 00:33:35,800
Speaker 1: and fracking. We're not what you just said there. I've

592
00:33:35,840 --> 00:33:39,240
Speaker 1: been saying this virus, it doesn't discriminate, doesn't care who

593
00:33:39,280 --> 00:33:41,920
Speaker 1: it attacks, And it's one of those moments where it's

594
00:33:41,920 --> 00:33:44,479
Speaker 1: got to be all hands on deck. The President has

595
00:33:44,480 --> 00:33:46,960
Speaker 1: said good things about you, you've been saying good things

596
00:33:46,960 --> 00:33:50,240
Speaker 1: about him, and right now, until we get past this,

597
00:33:50,440 --> 00:33:52,760
Speaker 1: we don't have any time for this this, you know,

598
00:33:53,560 --> 00:33:56,000
Speaker 1: this bickering nonsense to go on. We got to save

599
00:33:56,120 --> 00:34:01,239
Speaker 1: American lives, right Yeah. You know what reminds me of

600
00:34:01,280 --> 00:34:04,960
Speaker 1: a family, and you can be arguing with your siblings

601
00:34:05,000 --> 00:34:07,560
Speaker 1: about you know, who went to whose party and who

602
00:34:07,600 --> 00:34:09,960
Speaker 1: did the right thing and the wrong thing, and then

603
00:34:10,040 --> 00:34:14,160
Speaker 1: something happens in the family that's real, God forbid, somebody

604
00:34:14,160 --> 00:34:18,680
Speaker 1: gets sick and all the bologney just drips away. Yeah,

605
00:34:18,719 --> 00:34:21,719
Speaker 1: we could argue about tracking or taxes or whatever you

606
00:34:21,719 --> 00:34:26,440
Speaker 1: want to argue about, but this is a fundamental problem

607
00:34:26,520 --> 00:34:31,640
Speaker 1: that is unifying. There's no time for planned politics. This

608
00:34:31,719 --> 00:34:35,000
Speaker 1: is all hands on deck. We have to save lives.

609
00:34:35,160 --> 00:34:38,680
Speaker 1: The nation is at war, different type of war, but

610
00:34:38,760 --> 00:34:41,800
Speaker 1: it is a war, and that we're all in government

611
00:34:41,840 --> 00:34:46,560
Speaker 1: public service to help people, and that is the common

612
00:34:46,680 --> 00:34:50,080
Speaker 1: unifying theme, and it's going to take us all and

613
00:34:50,239 --> 00:34:53,879
Speaker 1: nothing else matters. It's not like we are avoiding, it's

614
00:34:53,920 --> 00:34:59,000
Speaker 1: just nothing else matters. Now, what is different about this

615
00:34:59,000 --> 00:35:02,160
Speaker 1: this country. We've had pandemics before, you know, we had

616
00:35:02,280 --> 00:35:04,760
Speaker 1: h one n one the world lost nearly five hundred

617
00:35:04,800 --> 00:35:09,000
Speaker 1: and seventy five thousand people. We've never seen anything quite

618
00:35:09,080 --> 00:35:12,919
Speaker 1: like this. I believe it's going to be We're gonna

619
00:35:12,960 --> 00:35:14,879
Speaker 1: have a big paradigm shift when this is all said

620
00:35:14,880 --> 00:35:17,160
Speaker 1: and done, and there are things emerging. And I give

621
00:35:17,200 --> 00:35:18,719
Speaker 1: you credit in the state of New York, and I

622
00:35:18,760 --> 00:35:21,120
Speaker 1: give the president credit. I mean, the first case in

623
00:35:21,160 --> 00:35:23,960
Speaker 1: the United States was January twenty first. We had a

624
00:35:24,000 --> 00:35:27,319
Speaker 1: travel ban from China on January thirty first, ten days later.

625
00:35:27,600 --> 00:35:29,880
Speaker 1: To me, nobody wants to give the president credit for that.

626
00:35:29,960 --> 00:35:32,560
Speaker 1: I do. I like the drive up testing idea. I

627
00:35:32,640 --> 00:35:36,239
Speaker 1: like public private partnerships. All these all these you know,

628
00:35:36,400 --> 00:35:41,680
Speaker 1: pharmacies and big box stores and pharmaceutical companies helping FDA

629
00:35:41,840 --> 00:35:45,439
Speaker 1: rules are being put aside. But it's different this time. Why,

630
00:35:46,680 --> 00:35:48,960
Speaker 1: I'm not sure why you're right. I was there for

631
00:35:48,960 --> 00:35:51,160
Speaker 1: each one n one. I was there for a Bowler,

632
00:35:51,320 --> 00:35:55,480
Speaker 1: which by the way, isn't now. I was scary. Governor

633
00:35:55,520 --> 00:35:58,279
Speaker 1: Chris Christie was in New Jersey at the time. I

634
00:35:58,360 --> 00:36:00,960
Speaker 1: was working with him with the Bowl of virus. We

635
00:36:01,040 --> 00:36:04,200
Speaker 1: had a person who we quarantined right at the airport.

636
00:36:04,680 --> 00:36:08,359
Speaker 1: We took a beating, but that was really deadly. I

637
00:36:08,400 --> 00:36:11,920
Speaker 1: think part of it there's a fear component here Sean

638
00:36:12,360 --> 00:36:16,480
Speaker 1: that I don't know that in many ways started and

639
00:36:16,760 --> 00:36:23,960
Speaker 1: is more contagious than the virus itself. People are truly frightened, anxious.

640
00:36:24,000 --> 00:36:28,440
Speaker 1: They can't get the right information, and there's something about

641
00:36:29,160 --> 00:36:34,600
Speaker 1: isolating people. You're quarantined, you can't touch anyone else, so

642
00:36:34,680 --> 00:36:39,640
Speaker 1: you can't get near anyone else. It's also psychologically really

643
00:36:39,719 --> 00:36:43,560
Speaker 1: difficult to deal with. You're in your house alone, or

644
00:36:43,600 --> 00:36:46,399
Speaker 1: you're in your house with your family, you know, and

645
00:36:46,400 --> 00:36:48,800
Speaker 1: then the kids and you're locked up and you can't

646
00:36:48,840 --> 00:36:55,640
Speaker 1: move and you're limited. It's psychologically difficult, it's frightening. And

647
00:36:55,680 --> 00:37:00,480
Speaker 1: then the medical consequences. The information seems to change all

648
00:37:00,520 --> 00:37:02,399
Speaker 1: the time. You know, first it was a bad flu,

649
00:37:02,880 --> 00:37:06,040
Speaker 1: now it's young people can get it. Then it was

650
00:37:06,120 --> 00:37:09,240
Speaker 1: just old people, but then there are some other people

651
00:37:09,239 --> 00:37:11,960
Speaker 1: who are dying. So I think you put all of

652
00:37:12,000 --> 00:37:17,960
Speaker 1: that together in this politically charged atmosphere and it's fire

653
00:37:18,040 --> 00:37:22,040
Speaker 1: through dry grass. Well, there are adults emerging though, and

654
00:37:22,120 --> 00:37:24,880
Speaker 1: I would say the President and you, I mean, are

655
00:37:24,920 --> 00:37:27,560
Speaker 1: two adults. You know, you said something in your press

656
00:37:27,560 --> 00:37:30,520
Speaker 1: conference and you just mentioned it, and to me, this

657
00:37:30,600 --> 00:37:34,560
Speaker 1: is crucial. We were told originally that only if you

658
00:37:34,640 --> 00:37:39,200
Speaker 1: had underlying conditions, only if you had a compromised immune system,

659
00:37:39,360 --> 00:37:42,080
Speaker 1: were you at risk of dying. Now I'm looking at

660
00:37:42,120 --> 00:37:45,359
Speaker 1: twenty percent of hospitalizations or people twenty one to forty five.

661
00:37:45,440 --> 00:37:47,640
Speaker 1: When did you first hear that? Because I only I

662
00:37:47,680 --> 00:37:49,680
Speaker 1: only got wind of it like last week from a

663
00:37:49,719 --> 00:37:52,360
Speaker 1: doctor in Great Britain and then I saw the CDC

664
00:37:52,560 --> 00:37:56,399
Speaker 1: numbers this week. That was not the case before. Yeah, yeah,

665
00:37:56,440 --> 00:37:59,600
Speaker 1: And this is why the nuance starts to get confusing.

666
00:38:00,200 --> 00:38:07,200
Speaker 1: The mortality rate, the lethality is overwhelmingly seniors, compromised immune

667
00:38:07,239 --> 00:38:14,280
Speaker 1: system underlying youngness. That is true. Different fact. Younger people

668
00:38:14,400 --> 00:38:18,879
Speaker 1: can get sick with it and most self resolve, but

669
00:38:19,520 --> 00:38:23,719
Speaker 1: many need hospitalization for a period of time. And that

670
00:38:23,840 --> 00:38:27,680
Speaker 1: was the twenty percent that we talked about. But now

671
00:38:27,719 --> 00:38:29,880
Speaker 1: you get that one case where you do have a

672
00:38:29,960 --> 00:38:34,160
Speaker 1: forty year old who's the anomaly but passes away And

673
00:38:34,239 --> 00:38:38,040
Speaker 1: in this age social media, etc. Well now you have

674
00:38:38,160 --> 00:38:42,800
Speaker 1: young people dying, right, So it's it's a function of

675
00:38:44,080 --> 00:38:47,120
Speaker 1: we didn't We never got all the facts and all

676
00:38:47,200 --> 00:38:52,120
Speaker 1: the nuance out at one time. It evolved. Yeah, right,

677
00:38:52,680 --> 00:38:55,560
Speaker 1: yes it did, and it's still evolving, right, The information

678
00:38:55,680 --> 00:38:59,839
Speaker 1: still seems to be evolving. I almost feel like as

679
00:38:59,840 --> 00:39:03,239
Speaker 1: a watching you know, some comments early on about the

680
00:39:03,280 --> 00:39:06,360
Speaker 1: travel ban. I think we're rewriting books as we speak.

681
00:39:06,400 --> 00:39:08,680
Speaker 1: In terms of Okay, travel ban will be the norm,

682
00:39:08,800 --> 00:39:12,160
Speaker 1: drive up testing will be the norm, Public private partnerships

683
00:39:12,200 --> 00:39:15,640
Speaker 1: will be the norm. FDA rules shifting will be the norm.

684
00:39:16,040 --> 00:39:19,960
Speaker 1: States and the federal government now will work in cooperation.

685
00:39:20,040 --> 00:39:22,759
Speaker 1: I was very happy to see that the President responded

686
00:39:22,800 --> 00:39:26,000
Speaker 1: with this Navy ship hospital that is going to be

687
00:39:26,080 --> 00:39:30,000
Speaker 1: available in New York has forty percent of the cases. Now, yes,

688
00:39:30,280 --> 00:39:33,319
Speaker 1: I think we're rewriting the book. We're rewriting the book

689
00:39:33,320 --> 00:39:37,200
Speaker 1: on governmental operations. I don't know that we're not rewriting

690
00:39:37,239 --> 00:39:42,400
Speaker 1: the book on the psychology and the culture of the nation.

691
00:39:42,560 --> 00:39:45,600
Speaker 1: That's what I'm wondering about. What is the psychological impact

692
00:39:45,640 --> 00:39:49,239
Speaker 1: of all of this going to be? How safe. Were

693
00:39:49,320 --> 00:39:53,839
Speaker 1: people who ever going to feel again, you know, and

694
00:39:53,960 --> 00:39:58,080
Speaker 1: it's going to be a transformative situation for the country,

695
00:39:58,120 --> 00:40:04,200
Speaker 1: There's no doubt. Look you and nine to eleven was transformative, right, horrible.

696
00:40:04,719 --> 00:40:07,600
Speaker 1: You never forgot it. You never forgot it. It just

697
00:40:07,719 --> 00:40:12,960
Speaker 1: left you with almost like a PTSD. He see here

698
00:40:13,000 --> 00:40:15,200
Speaker 1: a bang and you see smoke, and boy, you go

699
00:40:15,360 --> 00:40:17,960
Speaker 1: right back there in a second. You drive into downtown

700
00:40:18,000 --> 00:40:21,640
Speaker 1: Manhattan to this day and you can feel it in

701
00:40:21,680 --> 00:40:27,480
Speaker 1: your chest, right, you just tingle? Uh yeah, it transformed us.

702
00:40:27,600 --> 00:40:33,120
Speaker 1: We were we were vulnerable. One moment could change your life.

703
00:40:34,560 --> 00:40:38,080
Speaker 1: One moment Mom and Dad don't come home from work

704
00:40:38,239 --> 00:40:41,480
Speaker 1: that day, right, for a whole young generation I lost,

705
00:40:41,520 --> 00:40:44,319
Speaker 1: dear friends, people I grew up with. Yea horrible to

706
00:40:44,719 --> 00:40:46,319
Speaker 1: me too. Let me ask Let me ask you this.

707
00:40:47,440 --> 00:40:49,560
Speaker 1: You know I love Americans. I mean when you see

708
00:40:49,560 --> 00:40:51,600
Speaker 1: all these companies like I don't know if you noticed,

709
00:40:51,640 --> 00:40:53,960
Speaker 1: the auto companies are stepping up to say they said

710
00:40:53,960 --> 00:40:56,520
Speaker 1: to the President, oh you need more ventilators, we can

711
00:40:56,560 --> 00:40:59,840
Speaker 1: build them for you. You see the pharmaceutical in this,

712
00:41:00,400 --> 00:41:02,799
Speaker 1: You see the big box stores, you see quests, you

713
00:41:02,840 --> 00:41:05,719
Speaker 1: see the lab corps. Two days ago is when I

714
00:41:05,760 --> 00:41:10,399
Speaker 1: first learned about chloroquin. This is the malaria drug I'm

715
00:41:10,400 --> 00:41:14,400
Speaker 1: being told, and this is actually very very interesting. Congressman

716
00:41:14,400 --> 00:41:17,319
Speaker 1: Mark Reena actually said at first that we have three

717
00:41:17,320 --> 00:41:22,959
Speaker 1: studies that find chloroquin with zithromyathin is dramatically impacting things.

718
00:41:22,960 --> 00:41:24,960
Speaker 1: The other one that I'm really putting a lot of

719
00:41:24,960 --> 00:41:29,319
Speaker 1: hope and promising is a convalescent plasma where somebody that

720
00:41:29,440 --> 00:41:34,000
Speaker 1: had corona, they recovered from corona, they have the antibodies

721
00:41:34,000 --> 00:41:38,080
Speaker 1: for corona. Then that plasma is then taken out of

722
00:41:38,520 --> 00:41:41,160
Speaker 1: and donated by that person and then used for very

723
00:41:41,200 --> 00:41:45,400
Speaker 1: sick people and through an IV they're seeing phenomenal results.

724
00:41:45,440 --> 00:41:49,840
Speaker 1: Another one is ramdisaviere and RNA inhibitor used for ebola

725
00:41:49,920 --> 00:41:53,040
Speaker 1: and sars. As you look at this information, what is

726
00:41:53,080 --> 00:41:58,160
Speaker 1: your take on it? Well, the President called me just

727
00:41:58,239 --> 00:42:01,800
Speaker 1: before I saw the Presidents person conference this morning. Also,

728
00:42:02,400 --> 00:42:04,480
Speaker 1: he just called me before I got on with you

729
00:42:05,800 --> 00:42:10,280
Speaker 1: on the chloroquin, and I said, look is I will

730
00:42:10,520 --> 00:42:15,040
Speaker 1: I will try it immediately. I agree. I have people

731
00:42:15,080 --> 00:42:18,600
Speaker 1: who are in very bad shape. Let's try it. It's

732
00:42:18,640 --> 00:42:21,600
Speaker 1: a drug that's been around, we know that the side

733
00:42:21,600 --> 00:42:25,719
Speaker 1: effects are limited, and I'm with the President on the expression,

734
00:42:25,760 --> 00:42:27,600
Speaker 1: you know, what do you have to lose? And at

735
00:42:27,600 --> 00:42:30,759
Speaker 1: one point, what do you have to lose? So I said,

736
00:42:30,800 --> 00:42:32,560
Speaker 1: as soon as we can get it, we'll try it.

737
00:42:33,080 --> 00:42:37,239
Speaker 1: The antibodies. I think we're working on a test here

738
00:42:37,280 --> 00:42:39,279
Speaker 1: in New York to try to find the antibodies. Not

739
00:42:39,400 --> 00:42:43,640
Speaker 1: just to boast of the immune system, but I want

740
00:42:43,640 --> 00:42:47,320
Speaker 1: to I believe, Sean, that this disease was here sooner

741
00:42:48,000 --> 00:42:53,920
Speaker 1: many more people had it self resolved, and that's what

742
00:42:53,960 --> 00:42:56,560
Speaker 1: the antibodies will show also, right, because if you test

743
00:42:56,640 --> 00:42:58,719
Speaker 1: someone and they have the antibodies, it means they had

744
00:42:58,719 --> 00:43:02,200
Speaker 1: the virus. I think that can even slow down the panic.

745
00:43:02,960 --> 00:43:05,840
Speaker 1: If we can say, look, we just with testing people

746
00:43:05,960 --> 00:43:09,200
Speaker 1: and it turns out Andrew Cuomo had it. Didn't even

747
00:43:09,239 --> 00:43:12,120
Speaker 1: know we had it, he just already had the flu.

748
00:43:12,440 --> 00:43:15,000
Speaker 1: I think that would be helpful because I'll tell you,

749
00:43:15,000 --> 00:43:17,080
Speaker 1: you know, I'm in New York and it's a different

750
00:43:17,719 --> 00:43:22,160
Speaker 1: uh tempo and rhythm. But the panic and the fear,

751
00:43:22,880 --> 00:43:26,120
Speaker 1: I'm glad you're addressing this. It's just as bad. You know,

752
00:43:26,160 --> 00:43:28,560
Speaker 1: we lose tens of thousands of Americans to the flu

753
00:43:28,680 --> 00:43:32,560
Speaker 1: every year, and I in other words, we lost in

754
00:43:32,640 --> 00:43:35,160
Speaker 1: a year with you or around h one n when

755
00:43:35,320 --> 00:43:37,360
Speaker 1: in a year we lost twelve thousand, four hundred and

756
00:43:37,400 --> 00:43:41,719
Speaker 1: sixty nine Americans only, and we had hundreds of thousands hospitalized.

757
00:43:42,200 --> 00:43:43,960
Speaker 1: I'm glad if we're going to learn from this and

758
00:43:44,360 --> 00:43:47,200
Speaker 1: save lives now and in the future, I'm all on board.

759
00:43:47,640 --> 00:43:48,920
Speaker 1: And by the way, I want to pledge to you,

760
00:43:48,960 --> 00:43:50,560
Speaker 1: if anything I could do for you in New York

761
00:43:50,880 --> 00:43:53,279
Speaker 1: with my TV or radio show, you you have it.

762
00:43:53,280 --> 00:43:56,440
Speaker 1: It's at your disposal. Um. By the way, I want

763
00:43:56,480 --> 00:44:00,600
Speaker 1: to tell our affiliates across the Sean Hannity Network, we're

764
00:44:00,600 --> 00:44:04,319
Speaker 1: staying with Governor Andrew Cuomo, who's with us. And I

765
00:44:04,360 --> 00:44:07,799
Speaker 1: think that you know, we use these words in an anthem,

766
00:44:07,840 --> 00:44:10,320
Speaker 1: the Land of the Free and the Home of the brave.

767
00:44:11,640 --> 00:44:15,439
Speaker 1: We are a country and you know this that we're

768
00:44:15,480 --> 00:44:19,120
Speaker 1: the country that beat back the forces of fascism and

769
00:44:19,320 --> 00:44:23,560
Speaker 1: Nazism and communism and imperial Japan. My dad fought in

770
00:44:23,600 --> 00:44:27,320
Speaker 1: World War Two. We have beaten back depressions, we have

771
00:44:27,400 --> 00:44:31,880
Speaker 1: beaten other pandemics, and you know, this is a moment

772
00:44:31,880 --> 00:44:37,120
Speaker 1: where I believe this country is going to again save

773
00:44:37,200 --> 00:44:39,880
Speaker 1: the world. As I look at what these new clorquin

774
00:44:40,120 --> 00:44:46,440
Speaker 1: plasma dissevere promises. I'm very hopeful. I put a lot

775
00:44:46,440 --> 00:44:49,960
Speaker 1: of faith in our medical community. Oh look, I believe

776
00:44:50,000 --> 00:44:52,319
Speaker 1: nobody steps up the way we step up. You know,

777
00:44:52,920 --> 00:44:57,920
Speaker 1: we can be terrible around the kitchen table to ourselves.

778
00:44:58,280 --> 00:45:00,399
Speaker 1: By the way, who is throwing food? You're a because

779
00:45:00,719 --> 00:45:02,080
Speaker 1: by the way, I'm still mad at your brother for

780
00:45:02,239 --> 00:45:04,600
Speaker 1: leaving Fox News. I'm just saying, but go ahead, yeah,

781
00:45:05,160 --> 00:45:08,520
Speaker 1: no Christmas throwing the food. But of course, because he

782
00:45:08,600 --> 00:45:13,959
Speaker 1: has no aim, don't tell me he hit your poor mother.

783
00:45:14,440 --> 00:45:17,360
Speaker 1: Oh my gosh with the food here. Oh this is

784
00:45:17,360 --> 00:45:21,040
Speaker 1: for Andrew. Whoop. Sorry mom. You know. No, we can

785
00:45:21,040 --> 00:45:23,279
Speaker 1: be tougher on the table, but somebody who walks through

786
00:45:23,320 --> 00:45:27,839
Speaker 1: that front door you better watch out right. Exactly, boy,

787
00:45:27,920 --> 00:45:30,239
Speaker 1: we grew up in the same household we did. Let

788
00:45:30,800 --> 00:45:34,040
Speaker 1: me ask you specifically about New York and as a side,

789
00:45:34,160 --> 00:45:35,680
Speaker 1: one of my best friends in this row, we pleased

790
00:45:35,719 --> 00:45:37,400
Speaker 1: all the governor to get rid of alternate side of

791
00:45:37,400 --> 00:45:39,000
Speaker 1: the stream parking. I have to go out every other

792
00:45:39,040 --> 00:45:40,560
Speaker 1: day and you're telling us to stay in and I

793
00:45:40,680 --> 00:45:43,360
Speaker 1: have to go park my car. The people outside of

794
00:45:43,360 --> 00:45:47,640
Speaker 1: New York will not understand that. But what what specifically

795
00:45:47,840 --> 00:45:49,839
Speaker 1: I thought this was the bold move on your part.

796
00:45:50,440 --> 00:45:52,279
Speaker 1: I think it's the right move. I think it's been

797
00:45:52,320 --> 00:45:54,719
Speaker 1: a I will give Gavin Newsom credit. I'm not a

798
00:45:54,719 --> 00:45:56,640
Speaker 1: big fan of his politically, but I think he's done

799
00:45:56,840 --> 00:46:00,279
Speaker 1: a good job and he's also worked hand in hand

800
00:46:00,320 --> 00:46:03,719
Speaker 1: with the President. It's not up time for politics. I

801
00:46:03,800 --> 00:46:06,799
Speaker 1: actually tweeted out, I'm sorry, I said on this radio

802
00:46:06,880 --> 00:46:09,719
Speaker 1: show on March ninth, because people are accusing me of

803
00:46:09,840 --> 00:46:12,800
Speaker 1: not taking it seriously. I actually said, this disease is

804
00:46:12,840 --> 00:46:15,879
Speaker 1: not discriminate. It doesn't care what party you're in. This

805
00:46:15,960 --> 00:46:18,000
Speaker 1: is all hands on deck. I said that, you know,

806
00:46:18,200 --> 00:46:21,200
Speaker 1: very early on and often, and how do we now

807
00:46:21,239 --> 00:46:23,440
Speaker 1: get along with each other? For this part we'll get

808
00:46:23,440 --> 00:46:27,680
Speaker 1: back to the politics and you know, arguing later. Yeah, no, look,

809
00:46:28,520 --> 00:46:32,200
Speaker 1: we just nothing else is important. You know That's how

810
00:46:32,239 --> 00:46:36,040
Speaker 1: I feel, showing nothing else is important. This is all important.

811
00:46:36,440 --> 00:46:39,839
Speaker 1: And this is to go back to my metaphor. Yeah,

812
00:46:39,840 --> 00:46:42,320
Speaker 1: we sit around the table, we argue, we like to,

813
00:46:42,600 --> 00:46:45,680
Speaker 1: we enjoy it, but somebody came through the front door.

814
00:46:45,719 --> 00:46:48,520
Speaker 1: It happens to be a disease, but it's a disease

815
00:46:48,560 --> 00:46:52,880
Speaker 1: that threatens our family. And now from the table together,

816
00:46:53,640 --> 00:46:58,840
Speaker 1: what is considered essential business for New York. Essential business

817
00:46:58,840 --> 00:47:02,560
Speaker 1: are the functions that we need to run society. Right.

818
00:47:03,000 --> 00:47:07,520
Speaker 1: So you need food, you need grocery stores, you need pharmacies,

819
00:47:07,600 --> 00:47:09,960
Speaker 1: you need public transit because the nurse has to get

820
00:47:10,000 --> 00:47:13,080
Speaker 1: to the hospital. And remember this is all about bolstering

821
00:47:13,080 --> 00:47:17,359
Speaker 1: that the healthcare system, because it's all about managing the

822
00:47:17,480 --> 00:47:22,520
Speaker 1: volume coming into the healthcare system. So telecommunications, you're going

823
00:47:22,600 --> 00:47:25,799
Speaker 1: to be home, you're using work from home. Okay, now

824
00:47:25,840 --> 00:47:31,520
Speaker 1: I have data. I need more data. Telecommunications, phone system, ambulance,

825
00:47:31,520 --> 00:47:36,000
Speaker 1: God forbid, somebody get sick. So it's the essential functions

826
00:47:36,080 --> 00:47:40,840
Speaker 1: that society needs. Okay, So let me let's talk about

827
00:47:40,880 --> 00:47:44,040
Speaker 1: like going. We've talked a lot about the testing centers,

828
00:47:44,520 --> 00:47:46,480
Speaker 1: and the President has been talking about that every day.

829
00:47:46,480 --> 00:47:48,880
Speaker 1: We've talked a lot about Okay, do we have enough breastpirators?

830
00:47:48,920 --> 00:47:52,160
Speaker 1: Are we going to have all of the ventilators that

831
00:47:52,239 --> 00:47:55,400
Speaker 1: we need. Then we've got to talk about, okay, worst

832
00:47:55,400 --> 00:48:00,799
Speaker 1: case scenario, hospital overflow. And I've been asking and I

833
00:48:00,880 --> 00:48:03,160
Speaker 1: was told that there are preparations in the works, and

834
00:48:03,239 --> 00:48:06,400
Speaker 1: maybe you've discussed us with the president. Uh, do we

835
00:48:06,400 --> 00:48:11,000
Speaker 1: have medical triage capability packing C one thirties with all

836
00:48:11,040 --> 00:48:15,480
Speaker 1: the necessary equipment the medical tense supplies I vs. The gloves,

837
00:48:15,520 --> 00:48:20,200
Speaker 1: the mass, the gowns, the medicines, the generators, the heaters, fuel, blankets, cots, food, water.

838
00:48:21,120 --> 00:48:23,280
Speaker 1: Do you feel we're moving quick enough on that front

839
00:48:23,280 --> 00:48:26,759
Speaker 1: to prepare for a worst case that is the scramble? Now,

840
00:48:27,320 --> 00:48:31,160
Speaker 1: I don't as a state. It's uh not what I

841
00:48:31,239 --> 00:48:34,239
Speaker 1: do the it's not it. I don't have a workforce.

842
00:48:34,320 --> 00:48:38,280
Speaker 1: I don't have a military, right. Uh, that's the federal government.

843
00:48:38,280 --> 00:48:40,719
Speaker 1: You have, Sean Hannity, there's a military. You're you're good

844
00:48:42,080 --> 00:48:45,839
Speaker 1: military by mouth military, I mean, who still get up?

845
00:48:45,840 --> 00:48:50,120
Speaker 1: And that is the greatest tramo. I'm gonna make that

846
00:48:50,160 --> 00:48:55,000
Speaker 1: a promo. Go ahead. Not guys like us oh Man

847
00:48:55,560 --> 00:48:58,200
Speaker 1: to talk and tell people what they should do nowadays.

848
00:48:58,960 --> 00:49:03,440
Speaker 1: Uh that that that is a federal That's where the

849
00:49:03,440 --> 00:49:07,120
Speaker 1: federal government can really step up and help. Okay, I

850
00:49:07,239 --> 00:49:10,280
Speaker 1: know they're doing it. Um now when you are dealing

851
00:49:10,280 --> 00:49:12,320
Speaker 1: with the White House, let's talk about how it's working.

852
00:49:12,440 --> 00:49:17,120
Speaker 1: Tell me how it's called. There's a telephone. He calls me,

853
00:49:17,280 --> 00:49:19,879
Speaker 1: I call him, he takes the call. I take the call.

854
00:49:21,880 --> 00:49:25,200
Speaker 1: Was like over in four seconds, right, Yeah, but see

855
00:49:25,239 --> 00:49:28,440
Speaker 1: the tit for tat you know the tit for tat. Uh.

856
00:49:29,440 --> 00:49:32,440
Speaker 1: It's the politics of the day and it is what

857
00:49:32,600 --> 00:49:35,480
Speaker 1: it is. Uh. And look, even you can say between

858
00:49:36,640 --> 00:49:39,839
Speaker 1: you and myself, yeah, we can argue, but we come

859
00:49:39,880 --> 00:49:43,440
Speaker 1: from the same place and we believe in the same things,

860
00:49:43,600 --> 00:49:47,320
Speaker 1: and we had the same experiences growing up. The President

861
00:49:48,080 --> 00:49:50,640
Speaker 1: is from Queens, New York. I'm from Queens, New York.

862
00:49:51,000 --> 00:49:53,839
Speaker 1: And it's not just a New York thing. We're all Americans. Yes,

863
00:49:53,920 --> 00:49:57,640
Speaker 1: we can argue about tracking, but you know what, at

864
00:49:57,680 --> 00:50:01,160
Speaker 1: the end of the day, Uh, there is situations that

865
00:50:02,120 --> 00:50:06,719
Speaker 1: surmount tracking, right, and when it comes to one of

866
00:50:06,719 --> 00:50:11,160
Speaker 1: those situations, we are in lock step. And that's the

867
00:50:11,200 --> 00:50:14,080
Speaker 1: way we are as Americans, right, and we always have been.

868
00:50:14,680 --> 00:50:18,800
Speaker 1: We haven't had a situation that has brought us together lately,

869
00:50:19,080 --> 00:50:22,600
Speaker 1: but this one does you see so much good coming

870
00:50:22,640 --> 00:50:26,760
Speaker 1: out of Americans. The medical community, are corporations, are pharmaceuticals,

871
00:50:26,760 --> 00:50:30,479
Speaker 1: are box stores. As I've been saying, let me ask

872
00:50:30,480 --> 00:50:33,280
Speaker 1: you specifically. So much has been made over the travel

873
00:50:33,320 --> 00:50:35,319
Speaker 1: band and the President got the crappie out of him

874
00:50:35,360 --> 00:50:38,080
Speaker 1: over that. To me, it was the single best decision

875
00:50:38,800 --> 00:50:41,879
Speaker 1: that the country could have had made at that time.

876
00:50:41,880 --> 00:50:44,040
Speaker 1: It was ten days after the first diagnosed case in

877
00:50:44,080 --> 00:50:49,839
Speaker 1: the States, right call from your perspective, look, I think

878
00:50:49,880 --> 00:50:54,120
Speaker 1: you'll see more travel health related travel bands as we

879
00:50:54,200 --> 00:50:57,759
Speaker 1: go forward. When you say rewriting the book, I think

880
00:50:57,800 --> 00:50:59,960
Speaker 1: that's going to be one of the lessons we learned.

881
00:51:00,840 --> 00:51:06,200
Speaker 1: We saw the disease progressing in China. You know, now

882
00:51:06,360 --> 00:51:08,759
Speaker 1: somebody's going to get on a plane and land at

883
00:51:09,280 --> 00:51:11,839
Speaker 1: in New York or in California. It's just a matter

884
00:51:11,880 --> 00:51:15,000
Speaker 1: of time. What the travel bands can do for you

885
00:51:16,000 --> 00:51:19,600
Speaker 1: from a disease prevention point of view is it buys

886
00:51:19,640 --> 00:51:22,960
Speaker 1: you time. You can't stop it, but it buys you time.

887
00:51:23,040 --> 00:51:26,600
Speaker 1: And we understand now how important time is because you

888
00:51:26,680 --> 00:51:30,040
Speaker 1: need to prepare, and you need to prepare differently. Every

889
00:51:30,600 --> 00:51:33,360
Speaker 1: pitch is different. You know, I would used to be

890
00:51:33,400 --> 00:51:38,480
Speaker 1: in the federal government. I've done emergency floods, hurricanes, disaster,

891
00:51:38,680 --> 00:51:42,400
Speaker 1: Superstorm Sandy. Each one's a little different. This one we

892
00:51:42,480 --> 00:51:48,839
Speaker 1: need ventilators. Whoever heard of an emergency that could require

893
00:51:49,960 --> 00:51:54,560
Speaker 1: hundreds of thousands of ventilators? Right they're being made, Thank god,

894
00:51:54,719 --> 00:51:58,040
Speaker 1: I mean, everybody identified it. Now do you have to

895
00:51:58,080 --> 00:51:59,799
Speaker 1: go or do you want to stay? It's up to you.

896
00:52:00,040 --> 00:52:03,080
Speaker 1: I can, but you have to decide now I'll stay

897
00:52:03,160 --> 00:52:07,120
Speaker 1: where am I going to go? Okay, Stations, No. In

898
00:52:07,160 --> 00:52:09,160
Speaker 1: other words, I want to have this discussion. I want

899
00:52:09,160 --> 00:52:12,680
Speaker 1: it to be positive for stations. Along with Sean Hannity

900
00:52:12,680 --> 00:52:15,040
Speaker 1: Show Network, we're going to stay with the governor. Andrew

901
00:52:15,040 --> 00:52:17,399
Speaker 1: Cuomo's with US governor of the great State of New York,

902
00:52:17,880 --> 00:52:21,200
Speaker 1: and they now have forty percent of all cases in

903
00:52:21,200 --> 00:52:25,120
Speaker 1: the United States. So we will not be taking our

904
00:52:25,200 --> 00:52:28,080
Speaker 1: usual break at this time. Let me ask you specifically.

905
00:52:28,560 --> 00:52:31,680
Speaker 1: I love our police department. I love all our love

906
00:52:31,680 --> 00:52:35,040
Speaker 1: our police officers. We know what our police officers can do.

907
00:52:35,080 --> 00:52:37,080
Speaker 1: And if we forget think back to nine to eleven

908
00:52:37,080 --> 00:52:40,240
Speaker 1: and our first responders and our firemen and EMT guys.

909
00:52:40,600 --> 00:52:44,080
Speaker 1: We now have thirty five NYPD officers infected by this.

910
00:52:44,880 --> 00:52:49,040
Speaker 1: Do you do you what specifically do we do for

911
00:52:49,239 --> 00:52:52,480
Speaker 1: those that are essential workers as you identify today that

912
00:52:52,520 --> 00:52:55,120
Speaker 1: they themselves are getting sick? And I would also add

913
00:52:55,160 --> 00:52:57,759
Speaker 1: to that the first responders in the hospitals and the

914
00:52:57,800 --> 00:52:59,680
Speaker 1: medical teams out there that are in the front lines

915
00:52:59,680 --> 00:53:04,319
Speaker 1: of us. You want to talk about America and bravery,

916
00:53:04,520 --> 00:53:07,279
Speaker 1: You're right on the corporate side, but you know where

917
00:53:07,280 --> 00:53:10,359
Speaker 1: I see it every day. I see the nurses at

918
00:53:10,400 --> 00:53:15,680
Speaker 1: the drive through testing centers who walk up to a car,

919
00:53:16,320 --> 00:53:20,920
Speaker 1: they open the window and they swab the inside the

920
00:53:21,080 --> 00:53:24,760
Speaker 1: throat of a person who believes they have the virus.

921
00:53:25,520 --> 00:53:30,600
Speaker 1: The police officer who's walking into apartments every day, sean

922
00:53:31,120 --> 00:53:34,160
Speaker 1: doesn't know what they're walking into. And on top of it,

923
00:53:34,239 --> 00:53:37,880
Speaker 1: you put this virus situation and they show up for work.

924
00:53:39,440 --> 00:53:42,440
Speaker 1: No one's calling in saying you know, I can't. I'm sorry.

925
00:53:42,840 --> 00:53:46,439
Speaker 1: I mean, that's brave. And I put out an order

926
00:53:46,480 --> 00:53:49,720
Speaker 1: two days ago. Every police officer should have a mask.

927
00:53:50,200 --> 00:53:52,520
Speaker 1: I mean, that's the minimum we can do for them

928
00:53:53,719 --> 00:53:58,240
Speaker 1: and anyone who gets sick because of this. Like post

929
00:53:58,320 --> 00:54:02,200
Speaker 1: nine to eleven, I'm going to advocate shape for total

930
00:54:02,280 --> 00:54:06,880
Speaker 1: benefits and support. It seems like if we can rebuild

931
00:54:06,920 --> 00:54:09,440
Speaker 1: Europe and save the world from all these evils that

932
00:54:09,480 --> 00:54:12,719
Speaker 1: I mentioned earlier, I can tell you that I have

933
00:54:12,840 --> 00:54:14,359
Speaker 1: many friends I don't know if you know about. My

934
00:54:14,400 --> 00:54:17,160
Speaker 1: mom was a prison guard Naso County Jail, worked double

935
00:54:17,200 --> 00:54:19,360
Speaker 1: shifts for twenty five years. My dad was a probation

936
00:54:19,440 --> 00:54:23,319
Speaker 1: officer Queens, New York interestingly, and worked as a waiter

937
00:54:23,400 --> 00:54:27,000
Speaker 1: on the weekends and all of my friends that work

938
00:54:27,040 --> 00:54:29,560
Speaker 1: in restaurants right now, they're all dying. I mean, they're

939
00:54:29,600 --> 00:54:32,319
Speaker 1: all scared. They're worried about whether or not they can

940
00:54:32,360 --> 00:54:34,880
Speaker 1: pay their rent, their mortgage, a car payment, tell their

941
00:54:34,960 --> 00:54:36,680
Speaker 1: kids whether they have to pull them out of college

942
00:54:36,760 --> 00:54:40,160
Speaker 1: or not. And one thing that the President had said,

943
00:54:40,480 --> 00:54:43,359
Speaker 1: and I want this to be bipartisan, is that we're

944
00:54:43,400 --> 00:54:45,319
Speaker 1: going to get help to them. Within two weeks, money

945
00:54:45,400 --> 00:54:49,080
Speaker 1: is going to start flowing, identifying those businesses that are

946
00:54:49,200 --> 00:54:52,520
Speaker 1: directly impacted by That would include the restaurant business, That

947
00:54:52,520 --> 00:54:55,960
Speaker 1: would include big cruise line industries, and the airline industries

948
00:54:56,040 --> 00:54:59,439
Speaker 1: just decimated over this. I don't think it's a matter

949
00:54:59,520 --> 00:55:02,040
Speaker 1: of the money as much as I just want to

950
00:55:02,080 --> 00:55:05,680
Speaker 1: make sure that every dime Washington spends are going to

951
00:55:06,040 --> 00:55:08,640
Speaker 1: our fellow Americans that need it, the right people, the

952
00:55:08,719 --> 00:55:13,840
Speaker 1: small businesses. Also, you're exactly right, And look, I understand

953
00:55:13,840 --> 00:55:16,799
Speaker 1: the corporate support and that's important for the economy, but

954
00:55:16,840 --> 00:55:21,279
Speaker 1: the human toll here, Sean is unbelievable. I mean, just

955
00:55:21,360 --> 00:55:24,680
Speaker 1: imagine families, like so many in this state and so

956
00:55:24,800 --> 00:55:28,239
Speaker 1: many others, you're just about making it. You're breaking your

957
00:55:28,239 --> 00:55:31,640
Speaker 1: rear end to make it, and then you're just laid

958
00:55:31,680 --> 00:55:34,080
Speaker 1: off and the bills keep coming. You know, it doesn't

959
00:55:34,080 --> 00:55:37,120
Speaker 1: stop the bills. I said, here in New York, we're

960
00:55:37,120 --> 00:55:42,560
Speaker 1: going to do three months of no mortgage foreclosures, and

961
00:55:42,600 --> 00:55:46,919
Speaker 1: we'll do mandatory mortgage restructuring where the payments will get

962
00:55:47,080 --> 00:55:49,040
Speaker 1: added to the end of the mortgage. I said, no

963
00:55:49,120 --> 00:55:54,600
Speaker 1: commercial or residential evictions for three months because this is

964
00:55:54,640 --> 00:55:58,840
Speaker 1: just devastating to so many families. So the federal legislation

965
00:55:58,880 --> 00:56:01,879
Speaker 1: putting some money in their pockets so they can buy

966
00:56:01,960 --> 00:56:04,480
Speaker 1: food and they can get by. I mean, that's a

967
00:56:04,520 --> 00:56:07,440
Speaker 1: no brainer. I want to go back to what we

968
00:56:07,440 --> 00:56:12,480
Speaker 1: were discussing earlier in terms of nobody saw this in

969
00:56:12,480 --> 00:56:16,760
Speaker 1: this way. When did you first begin to think? Because

970
00:56:16,760 --> 00:56:20,240
Speaker 1: I actually said something on January twenty eighth because everybody

971
00:56:20,239 --> 00:56:22,760
Speaker 1: I know is a medicine that doesn't work at restaurants,

972
00:56:22,800 --> 00:56:28,400
Speaker 1: and I got when that asymptomatic people, And this is

973
00:56:28,480 --> 00:56:30,360
Speaker 1: January twenty eighth. I put it up on my website

974
00:56:30,360 --> 00:56:33,160
Speaker 1: when I said it are now walking around. They have

975
00:56:33,200 --> 00:56:35,880
Speaker 1: no idea they have it, and it's also airborne. We

976
00:56:36,080 --> 00:56:38,520
Speaker 1: learned very early. And then the next I had doctor

977
00:56:38,520 --> 00:56:41,560
Speaker 1: Fauci on February tenth, and I was talking to him

978
00:56:41,560 --> 00:56:45,680
Speaker 1: about asymptomatic. Is that different than say the flu or

979
00:56:45,719 --> 00:56:48,280
Speaker 1: these other pandemics. And at what point did you realize

980
00:56:48,320 --> 00:56:53,240
Speaker 1: this is a little different look. I think as soon

981
00:56:53,400 --> 00:56:57,680
Speaker 1: as for me, a bell went off as soon as

982
00:56:58,040 --> 00:57:02,040
Speaker 1: we had a case here related to China, right, because

983
00:57:02,040 --> 00:57:06,120
Speaker 1: you knew what it did in China. We understood that,

984
00:57:06,200 --> 00:57:11,520
Speaker 1: we saw the how it communicated, we saw the lethality rate.

985
00:57:12,120 --> 00:57:14,520
Speaker 1: So as soon as we knew we had a case

986
00:57:14,560 --> 00:57:17,840
Speaker 1: here like China, I mean, unless you believed that there

987
00:57:17,960 --> 00:57:24,680
Speaker 1: was some immune system differential between Asians and Americans, I

988
00:57:24,800 --> 00:57:26,840
Speaker 1: knew we were in for what China was in for.

989
00:57:28,520 --> 00:57:30,960
Speaker 1: Did you see this top British study that came out

990
00:57:31,040 --> 00:57:35,000
Speaker 1: just this week. It came from a top British university.

991
00:57:35,080 --> 00:57:37,960
Speaker 1: Ninety five of all these coronavirus cases could have been

992
00:57:38,000 --> 00:57:41,480
Speaker 1: prevented if China didn't engage in this cover up, if

993
00:57:41,560 --> 00:57:43,680
Speaker 1: China would have just reached out to the world community.

994
00:57:43,680 --> 00:57:45,960
Speaker 1: I asked Mike Pompeio on TV this week. I said,

995
00:57:46,280 --> 00:57:48,800
Speaker 1: if you had gotten a call early on from the

996
00:57:49,520 --> 00:57:53,240
Speaker 1: Chinese government, your counterpart, and they were asking for medical assistance,

997
00:57:53,920 --> 00:57:56,800
Speaker 1: what would you have said? He said, we're offering a

998
00:57:56,920 --> 00:57:59,840
Speaker 1: rand help now, because it's a matter of the safety

999
00:57:59,840 --> 00:58:02,120
Speaker 1: and security people around the world. I think one of

1000
00:58:02,120 --> 00:58:04,520
Speaker 1: the reasons things got so out of control in Italy

1001
00:58:04,680 --> 00:58:08,240
Speaker 1: is a lot of the textile industry goes back and forth.

1002
00:58:08,280 --> 00:58:11,880
Speaker 1: They had direct flights from Wuhan Province straight into Italy

1003
00:58:12,560 --> 00:58:16,680
Speaker 1: and that's where obviously the virus came from. Yeah, look,

1004
00:58:16,720 --> 00:58:20,040
Speaker 1: there's no doubt China sneezes, we catch your cold. Right.

1005
00:58:20,600 --> 00:58:25,680
Speaker 1: The world's got very small and that's in our lifetime really,

1006
00:58:26,680 --> 00:58:29,880
Speaker 1: and if China had asked for help, it's in our

1007
00:58:29,920 --> 00:58:35,040
Speaker 1: best interest. It wouldn't have been gratuitous because self interest

1008
00:58:35,120 --> 00:58:37,320
Speaker 1: it's going to come here. The only question has when

1009
00:58:37,520 --> 00:58:41,080
Speaker 1: and better we fix it and solve it there. Let

1010
00:58:41,080 --> 00:58:42,760
Speaker 1: me ask you this, and I'm gonna let you go.

1011
00:58:42,760 --> 00:58:44,040
Speaker 1: I know you got a lot of work to do,

1012
00:58:46,440 --> 00:58:50,040
Speaker 1: all of these people around the country. What is your

1013
00:58:50,080 --> 00:58:53,680
Speaker 1: advice to people? What do they need to do. I'm

1014
00:58:53,680 --> 00:58:55,400
Speaker 1: trying to urge people. You always going to have people

1015
00:58:55,400 --> 00:58:57,720
Speaker 1: that are never going to listen. Okay, we can't stop that.

1016
00:58:57,840 --> 00:59:00,360
Speaker 1: I guess you can legally, but you really can't. But

1017
00:59:00,600 --> 00:59:04,880
Speaker 1: your advice to people in terms of where you think

1018
00:59:04,880 --> 00:59:07,680
Speaker 1: this is going, how well, you believe this fifteen day

1019
00:59:07,720 --> 00:59:12,000
Speaker 1: task force recommendation, social distancing and all this other stuff

1020
00:59:12,040 --> 00:59:15,400
Speaker 1: that we've never heard of before. Where do you think

1021
00:59:15,400 --> 00:59:18,160
Speaker 1: we're gonna end up with this? What you're hearing, what

1022
00:59:18,200 --> 00:59:20,720
Speaker 1: you're reading, what I'm reading. What I'm hearing is we're

1023
00:59:20,760 --> 00:59:23,280
Speaker 1: gonna have with the new testing, We're gonna have dramatic

1024
00:59:23,320 --> 00:59:28,080
Speaker 1: increases in instances reported, and then hopefully four or five

1025
00:59:28,120 --> 00:59:30,240
Speaker 1: weeks we'll see a leveling off and then hopefully a

1026
00:59:30,240 --> 00:59:33,080
Speaker 1: precipitous decline. I put a lot of hope in this

1027
00:59:34,000 --> 00:59:38,800
Speaker 1: Clara Quinn and rhythmomiacin, and the tests are showing it

1028
00:59:39,160 --> 00:59:42,920
Speaker 1: and this convalescent plasma, and I put a lot of

1029
00:59:42,960 --> 00:59:45,040
Speaker 1: hope in our medical community. And I think the fact

1030
00:59:45,080 --> 00:59:48,520
Speaker 1: that the FDA rules were lifted are gonna hopefully play

1031
00:59:48,560 --> 00:59:52,040
Speaker 1: a big role in stopping this and getting us back

1032
00:59:52,040 --> 00:59:56,680
Speaker 1: to a normal life. Yeah, I think I'm an optimist.

1033
00:59:57,520 --> 01:00:01,520
Speaker 1: I think I'm hopeful about the drugs. And that's why

1034
01:00:02,240 --> 01:00:04,000
Speaker 1: we'll try it here in New York as soon as

1035
01:00:04,000 --> 01:00:11,360
Speaker 1: we get it. I cannot stress how this virus communicates.

1036
01:00:11,960 --> 01:00:16,080
Speaker 1: They estimate four or five times as communicable as the flu.

1037
01:00:16,760 --> 01:00:20,160
Speaker 1: The virus may live on a surface for two or

1038
01:00:20,240 --> 01:00:25,880
Speaker 1: three days, okay, and the airborne nature of it. You

1039
01:00:25,960 --> 01:00:29,200
Speaker 1: look at the way it's moving through New York, especially

1040
01:00:29,240 --> 01:00:33,240
Speaker 1: in New York City, it's the density. That distancing is

1041
01:00:33,320 --> 01:00:39,520
Speaker 1: real fancy word social distancing. Stay out of a sneeze range,

1042
01:00:39,720 --> 01:00:42,960
Speaker 1: call range. Be careful where you put down your hand

1043
01:00:43,000 --> 01:00:46,040
Speaker 1: two days before a person could have touched that area

1044
01:00:46,080 --> 01:00:48,480
Speaker 1: and then you pick up that virus. That's why it's

1045
01:00:48,480 --> 01:00:51,800
Speaker 1: so contagious. Yes, at the end of the day, it

1046
01:00:51,840 --> 01:00:55,720
Speaker 1: will be The people who die will be predominantly people

1047
01:00:55,720 --> 01:00:58,960
Speaker 1: who may have died from a very bad flu. Because

1048
01:00:59,000 --> 01:01:01,840
Speaker 1: remember in the old days, everybody died of pneumonia. What

1049
01:01:01,880 --> 01:01:04,040
Speaker 1: did he die if he died of pneumonia but he

1050
01:01:04,080 --> 01:01:06,840
Speaker 1: had a heart attack, He died of pneumonia, but he

1051
01:01:06,880 --> 01:01:12,440
Speaker 1: had lung cancer. This is pneumonia, and the elderly, the

1052
01:01:12,680 --> 01:01:18,480
Speaker 1: compromised immune system. This will kill a large number, larger

1053
01:01:18,520 --> 01:01:22,760
Speaker 1: than the normal flu. A multiple four or five six

1054
01:01:22,840 --> 01:01:27,000
Speaker 1: times the multiple would be my guess, and I would

1055
01:01:27,040 --> 01:01:30,000
Speaker 1: tell people take it seriously. You know, it's easy to

1056
01:01:30,120 --> 01:01:34,320
Speaker 1: be complacent when it's not in your community. This will

1057
01:01:34,400 --> 01:01:38,640
Speaker 1: be in your community and it is that bad. And

1058
01:01:38,960 --> 01:01:42,280
Speaker 1: take the precautions and take them early. Sean, thank you

1059
01:01:42,320 --> 01:01:45,120
Speaker 1: for having me governor, appreciate your time. By the way, yeah,

1060
01:01:45,120 --> 01:01:47,400
Speaker 1: I to promise me. Well this is all done, can't

1061
01:01:47,400 --> 01:01:49,400
Speaker 1: you come on and we can argue about taxes. My

1062
01:01:49,520 --> 01:01:52,520
Speaker 1: taxes are too high. I'm kidding, you've been You've been

1063
01:01:52,520 --> 01:01:59,240
Speaker 1: doing a great your taxes. You I cut your taxes tats,

1064
01:01:59,280 --> 01:02:02,240
Speaker 1: and you're killing me. You are killing me. Listen. I

1065
01:02:02,280 --> 01:02:04,479
Speaker 1: just gives a fact that you can't live with because

1066
01:02:04,520 --> 01:02:12,280
Speaker 1: you can't just lower today I took office. Here's what

1067
01:02:12,320 --> 01:02:16,000
Speaker 1: I will pledge to you though. Here here, here's what

1068
01:02:16,040 --> 01:02:19,360
Speaker 1: I'll pledge to you. When this is all over, I

1069
01:02:19,400 --> 01:02:21,520
Speaker 1: will I will promise you. We're gonna argue about all

1070
01:02:21,520 --> 01:02:24,280
Speaker 1: those things. But in the meantime, anything I can do

1071
01:02:24,360 --> 01:02:28,160
Speaker 1: for you or our state, you count me. You if

1072
01:02:28,200 --> 01:02:31,120
Speaker 1: you need money, call me, I'll give you money. Thank you, Sean,

1073
01:02:31,160 --> 01:02:33,560
Speaker 1: Thank you very much, God Boss. Eight hundred and nine

1074
01:02:33,640 --> 01:02:35,560
Speaker 1: for one Sean told free telephone number. You want to

1075
01:02:35,560 --> 01:02:38,280
Speaker 1: be a part of the program. Uh, look, I know

1076
01:02:38,320 --> 01:02:40,520
Speaker 1: a lot of Hannity. What are you doing? No, this

1077
01:02:40,600 --> 01:02:42,680
Speaker 1: is let's get everybody well first. Then we can start

1078
01:02:42,720 --> 01:02:44,960
Speaker 1: fighting later. And by the way, Linda what day did

1079
01:02:44,960 --> 01:02:46,800
Speaker 1: I say? How long ago have I been saying that?

1080
01:02:46,800 --> 01:02:49,560
Speaker 1: February March. Well, I mean to be honest with you, Sean,

1081
01:02:49,680 --> 01:02:51,480
Speaker 1: we just pulled a few. But you've been saying it

1082
01:02:51,560 --> 01:02:53,400
Speaker 1: so much that I just pulled a few. I'm sure

1083
01:02:53,400 --> 01:02:56,400
Speaker 1: every day I could listen and pull something. Um And

1084
01:02:56,440 --> 01:03:01,000
Speaker 1: it's just, you know, I do believe that. I do, however,

1085
01:03:01,080 --> 01:03:04,480
Speaker 1: have a new nickname for you. And I'd like the

1086
01:03:04,640 --> 01:03:09,160
Speaker 1: bank of an a Cuomo for this military mouth. I mean,

1087
01:03:09,200 --> 01:03:11,480
Speaker 1: that was literally the highlight of the whole interview for me.

1088
01:03:11,640 --> 01:03:16,400
Speaker 1: I'll take it. I admit I have a big, fat mouth,

1089
01:03:16,480 --> 01:03:19,120
Speaker 1: and that's how I make my living. Fat military mouth,

1090
01:03:19,640 --> 01:03:21,600
Speaker 1: you know again. And I also there's got to be

1091
01:03:21,640 --> 01:03:24,440
Speaker 1: some perspective. We lose tens of thousand with the flu,

1092
01:03:24,760 --> 01:03:27,120
Speaker 1: We lost estimates as high as five hundred and seventy

1093
01:03:27,120 --> 01:03:29,920
Speaker 1: five thousand people with the last pandemic, and the h

1094
01:03:30,000 --> 01:03:32,640
Speaker 1: one n one that pandemic, let me tell you, Ebola

1095
01:03:32,800 --> 01:03:35,760
Speaker 1: was a real scare. I love the fact that it's

1096
01:03:35,800 --> 01:03:39,080
Speaker 1: all hands on deck with everything in terms of you know,

1097
01:03:39,080 --> 01:03:42,560
Speaker 1: our FDA, you know all these decisions that we made,

1098
01:03:43,080 --> 01:03:46,080
Speaker 1: and you know, I mean, there's the first Democrat that

1099
01:03:46,120 --> 01:03:48,840
Speaker 1: I ever heard say, yeah, the travel bank brought us

1100
01:03:48,840 --> 01:03:53,360
Speaker 1: a ton of time. Uh, that is you know what honesty,

1101
01:03:53,960 --> 01:03:56,480
Speaker 1: and so anybody that is you know, and then you listen.

1102
01:03:56,800 --> 01:03:59,640
Speaker 1: I have the list of Joe Biden politicizing and including

1103
01:03:59,680 --> 01:04:02,440
Speaker 1: his raisers and these superpacks and all those other crap.

1104
01:04:02,480 --> 01:04:05,800
Speaker 1: It's just bologna. Our medical team is here, doctor Mark

1105
01:04:05,840 --> 01:04:10,880
Speaker 1: Siegel and doctor Josh humber Atlas, MD, Wichita, Kansas and

1106
01:04:11,040 --> 01:04:13,680
Speaker 1: doctor Segel part of our medical a team. NYU, how

1107
01:04:13,680 --> 01:04:16,880
Speaker 1: are you, sir? Well Sean, I am sorry for the delay,

1108
01:04:16,920 --> 01:04:19,440
Speaker 1: but I was washing my hands and I heard that Governor.

1109
01:04:19,480 --> 01:04:21,720
Speaker 1: I got so nervous. I was washing my hands and

1110
01:04:21,760 --> 01:04:24,200
Speaker 1: I made sure to wash my fingertips. Because this virus,

1111
01:04:24,240 --> 01:04:25,960
Speaker 1: I'll tell you a secret about it. It has a

1112
01:04:26,000 --> 01:04:30,480
Speaker 1: lipophilic coat, which means soap kills it. Soap actually kills it.

1113
01:04:30,800 --> 01:04:35,360
Speaker 1: So let's go for that soap. Okay, I'm looking at

1114
01:04:35,360 --> 01:04:37,680
Speaker 1: two days ago. Were before two days ago, if you

1115
01:04:37,680 --> 01:04:39,960
Speaker 1: would have asked me what chloroquinn is, I would have said, huh,

1116
01:04:40,000 --> 01:04:42,360
Speaker 1: I had no idea. Now I've been reading and this

1117
01:04:42,480 --> 01:04:45,720
Speaker 1: congressman came out with this study which is amazing. He said,

1118
01:04:45,760 --> 01:04:49,120
Speaker 1: look the studies now three international studies China, Australia, France,

1119
01:04:49,760 --> 01:04:56,320
Speaker 1: and they all find chloroquin with zithromyacin is dramatically effective

1120
01:04:56,640 --> 01:05:00,680
Speaker 1: in treating corona. What are you finding. It's actually hydrox chloroquine,

1121
01:05:00,680 --> 01:05:03,320
Speaker 1: which is a cousin of chloroquin, which is also known

1122
01:05:03,360 --> 01:05:06,560
Speaker 1: as plaqueintal. It's used as a as a malaria drug,

1123
01:05:06,840 --> 01:05:10,520
Speaker 1: but it also is used to treat arthritis. And I

1124
01:05:10,560 --> 01:05:13,440
Speaker 1: think the anecdotal evidence in the study, the small studies

1125
01:05:13,480 --> 01:05:17,720
Speaker 1: that have been done are good, show very effectiveness. But

1126
01:05:17,800 --> 01:05:20,760
Speaker 1: I like the interaction between Tony Faucci and the President today.

1127
01:05:20,760 --> 01:05:23,880
Speaker 1: I really like that because Tony said, look, this isn't

1128
01:05:23,920 --> 01:05:27,320
Speaker 1: scientifically proven. We don't have a double blinded study, and

1129
01:05:27,400 --> 01:05:29,920
Speaker 1: as a scientist, I'm not going to call this proof.

1130
01:05:30,120 --> 01:05:32,960
Speaker 1: The President said, I have a good feeling about it,

1131
01:05:33,320 --> 01:05:35,360
Speaker 1: and you know, he's a man of a big heart.

1132
01:05:35,400 --> 01:05:37,400
Speaker 1: He has a good feeling about it. And Fauci said,

1133
01:05:37,840 --> 01:05:40,520
Speaker 1: you know, he defended him. He said, feelings matter. In

1134
01:05:40,560 --> 01:05:42,760
Speaker 1: other words, having a good feeling about something matters. So

1135
01:05:42,800 --> 01:05:45,000
Speaker 1: we don't have the proof, but it looks good in

1136
01:05:45,080 --> 01:05:48,320
Speaker 1: the evidence we've seen, and you know, it's it's very

1137
01:05:48,360 --> 01:05:50,840
Speaker 1: well tolerated people travel with it, why when they go

1138
01:05:50,880 --> 01:05:54,320
Speaker 1: to malaria zones. So I have a positive feeling about

1139
01:05:54,360 --> 01:05:56,160
Speaker 1: it too, But I agree with Fauci that we have

1140
01:05:56,200 --> 01:05:58,240
Speaker 1: to also take into account we don't have a big

1141
01:05:58,280 --> 01:06:01,080
Speaker 1: science on it yet. We don't have big science or

1142
01:06:01,080 --> 01:06:05,120
Speaker 1: our doctor number or what we call combles. Some plasma

1143
01:06:06,080 --> 01:06:08,480
Speaker 1: that is showing in tremendous progress, which by the way,

1144
01:06:08,520 --> 01:06:10,800
Speaker 1: I mean apparently we'd used it a lot in the past,

1145
01:06:10,840 --> 01:06:12,840
Speaker 1: but then we got away from it somewhat, which is

1146
01:06:12,880 --> 01:06:16,200
Speaker 1: that those that had corona and they recover fully and

1147
01:06:16,240 --> 01:06:20,640
Speaker 1: their plasma is built up antibodies, and you extract it

1148
01:06:20,680 --> 01:06:23,040
Speaker 1: and you put it into an IV for somebody that

1149
01:06:23,120 --> 01:06:26,240
Speaker 1: has corona that's not doing well. In the early studies

1150
01:06:26,240 --> 01:06:30,720
Speaker 1: are showing that it's very effective. Who's chewing what are

1151
01:06:30,720 --> 01:06:33,960
Speaker 1: you a chewing doctor? Rumber? Go ahead, no, no, no,

1152
01:06:35,320 --> 01:06:37,920
Speaker 1: thanks for having me on, and we're bringing some some

1153
01:06:38,200 --> 01:06:41,919
Speaker 1: perspective to the issue. I think the goal is, yes,

1154
01:06:42,200 --> 01:06:45,000
Speaker 1: we want sound science, but at the same time, we

1155
01:06:46,200 --> 01:06:49,320
Speaker 1: asked and it's analogous to a wartime effort where this

1156
01:06:49,480 --> 01:06:52,680
Speaker 1: is all hands on deck and let's be using the

1157
01:06:52,680 --> 01:06:56,400
Speaker 1: best information we have as its evolving and Yeah, it's

1158
01:06:56,400 --> 01:07:01,000
Speaker 1: exciting to probably pull some of this back if these

1159
01:07:01,040 --> 01:07:05,800
Speaker 1: medicines work, because right now I think the clinic treatment

1160
01:07:06,120 --> 01:07:10,720
Speaker 1: is worse than the disease. And well, let me let

1161
01:07:10,760 --> 01:07:12,880
Speaker 1: me we got to get a new line for doctor number.

1162
01:07:12,960 --> 01:07:15,960
Speaker 1: But doctor seagull, why is it that early on everything

1163
01:07:16,000 --> 01:07:19,200
Speaker 1: showed oh this we had to we had to protect ourselves,

1164
01:07:19,240 --> 01:07:21,640
Speaker 1: so we would protect the vulnerable, meaning those were pre

1165
01:07:21,680 --> 01:07:26,720
Speaker 1: existing conditions, those with compromised immune systems. And now only

1166
01:07:26,760 --> 01:07:30,000
Speaker 1: in the last I first took note of this last

1167
01:07:30,040 --> 01:07:33,240
Speaker 1: week I am a British doctor said hey, no, this

1168
01:07:33,360 --> 01:07:36,680
Speaker 1: is impacting younger people. And now the CDC numbers came

1169
01:07:36,680 --> 01:07:38,760
Speaker 1: out I saw this week and I'm like, what twenty

1170
01:07:38,760 --> 01:07:42,000
Speaker 1: percent of hospitalizations or kids twenty one to four, young

1171
01:07:42,040 --> 01:07:46,000
Speaker 1: people forty four? Yeah, I have a theory on that.

1172
01:07:46,080 --> 01:07:48,240
Speaker 1: And and by the way to the other quickly on

1173
01:07:48,240 --> 01:07:50,560
Speaker 1: the other point, well, you agree with me though that

1174
01:07:50,560 --> 01:07:53,240
Speaker 1: that was earlier. We change. It's a change, And let

1175
01:07:53,280 --> 01:07:55,400
Speaker 1: me tell you why. I think it's what's happening. I

1176
01:07:55,440 --> 01:07:57,439
Speaker 1: think a lot of younger people in the United States

1177
01:07:57,480 --> 01:08:00,440
Speaker 1: are not taking proper precautions and so be of that,

1178
01:08:00,480 --> 01:08:02,800
Speaker 1: they're not the ones that are doing the social distancing

1179
01:08:02,800 --> 01:08:04,760
Speaker 1: and the washing of the hands, and by the way,

1180
01:08:04,760 --> 01:08:07,560
Speaker 1: to the Governor's point, let's disinfect surfaces and instead of

1181
01:08:07,600 --> 01:08:10,040
Speaker 1: worrying about what's on that surface, let's disinfect it with

1182
01:08:10,080 --> 01:08:13,480
Speaker 1: CHLOROQ wipes. We're doing all of that, and so that's

1183
01:08:13,480 --> 01:08:15,680
Speaker 1: why the curve is changing, because younger people are not

1184
01:08:15,720 --> 01:08:18,599
Speaker 1: taking precautions. If there's more and more and more young cases,

1185
01:08:18,960 --> 01:08:22,000
Speaker 1: you're going to see the hospitalizations inevitably, even though it

1186
01:08:22,120 --> 01:08:24,920
Speaker 1: still remains shown that the people most at risk or

1187
01:08:24,960 --> 01:08:27,920
Speaker 1: the elderly and people with chronic conditions at risk when

1188
01:08:27,960 --> 01:08:30,679
Speaker 1: we talk about risk, and again, I still think people

1189
01:08:30,720 --> 01:08:33,400
Speaker 1: have to have some perspective here for a lot of people.

1190
01:08:33,600 --> 01:08:36,760
Speaker 1: And look, numbers mean something, and I'm going through the

1191
01:08:36,840 --> 01:08:40,000
Speaker 1: numbers every day. The current numbers are we've had two

1192
01:08:40,080 --> 01:08:45,200
Speaker 1: hundred and sixty seven thousand, nine and twenty coronavirus cases worldwide. Now,

1193
01:08:45,280 --> 01:08:47,960
Speaker 1: as again, I want to go back to another pandemic,

1194
01:08:48,120 --> 01:08:49,720
Speaker 1: H one N one. You're an expert on H one

1195
01:08:49,800 --> 01:08:53,040
Speaker 1: N one. It was at sixty point eight million Americans

1196
01:08:53,120 --> 01:08:55,760
Speaker 1: got H one N one correct. Yeah, And you know

1197
01:08:55,800 --> 01:08:57,719
Speaker 1: what's interesting about H one N one that we didn't

1198
01:08:57,720 --> 01:09:00,200
Speaker 1: get to say on your television show, because you're such

1199
01:09:00,240 --> 01:09:03,320
Speaker 1: a master on both mediums. That's shorter form. Let me

1200
01:09:03,360 --> 01:09:06,040
Speaker 1: tell you, it's one of those situations where sixty million

1201
01:09:06,040 --> 01:09:09,320
Speaker 1: people were infected, but in the end it wasn't as

1202
01:09:09,360 --> 01:09:12,080
Speaker 1: deadly as we expected it was. It was milder. And

1203
01:09:12,120 --> 01:09:14,200
Speaker 1: that's a lesson for now. We don't know what's going

1204
01:09:14,280 --> 01:09:16,200
Speaker 1: to happen here. Well, you know what we do know.

1205
01:09:16,360 --> 01:09:19,400
Speaker 1: If you do the math, and we've had eleven thousand,

1206
01:09:19,479 --> 01:09:23,120
Speaker 1: one hundred and eighty seven deaths worldwide, we're up to

1207
01:09:23,120 --> 01:09:27,280
Speaker 1: two hundred and twelve in the United States. We now

1208
01:09:27,360 --> 01:09:31,599
Speaker 1: have fully recovered fully one third of those, and we

1209
01:09:31,640 --> 01:09:34,400
Speaker 1: expect the vast majority are going to be fine, meaning

1210
01:09:34,439 --> 01:09:37,439
Speaker 1: ninety eight nine percent of people correct that even get

1211
01:09:37,479 --> 01:09:42,600
Speaker 1: it I'm talking about Yeah, yes, yes, it's more contagious

1212
01:09:42,640 --> 01:09:46,000
Speaker 1: than the flu. People when they recover, the vast majority recover.

1213
01:09:46,320 --> 01:09:48,439
Speaker 1: The people were concerned about are the ones that end

1214
01:09:48,520 --> 01:09:51,639
Speaker 1: up on ventilators because with the pneumonia, that's a problem,

1215
01:09:51,680 --> 01:09:55,040
Speaker 1: but that's a smaller percentage. You're right, Well, for most people,

1216
01:09:55,080 --> 01:09:57,679
Speaker 1: this is mild, and I actually think that there's people,

1217
01:09:57,720 --> 01:10:00,439
Speaker 1: many thousands out there that could have them mild case

1218
01:10:00,479 --> 01:10:03,080
Speaker 1: that we don't even know about. Well, that's why more

1219
01:10:03,120 --> 01:10:06,519
Speaker 1: testing is going to dramatically increase the numbers. And but

1220
01:10:06,600 --> 01:10:09,160
Speaker 1: also we're going to see a simultaneous decline and quote

1221
01:10:09,200 --> 01:10:12,360
Speaker 1: the mortality rate of this again a doctor number two

1222
01:10:12,400 --> 01:10:16,360
Speaker 1: hundred and sixty seven, nine hundred and twenty cases identified worldwide,

1223
01:10:17,360 --> 01:10:21,360
Speaker 1: eleven thousand, one hundred and eighty seven deaths. We have

1224
01:10:21,479 --> 01:10:24,439
Speaker 1: in the United States a little over seven thousand now

1225
01:10:25,200 --> 01:10:28,280
Speaker 1: identified cases. We expect those numbers are going to go

1226
01:10:28,400 --> 01:10:31,679
Speaker 1: up dramatically. There's more testing. How long do you see

1227
01:10:31,720 --> 01:10:34,120
Speaker 1: before we see what South Korea has seen, in Japan

1228
01:10:34,160 --> 01:10:36,599
Speaker 1: has seen, in China has seen where it levels off

1229
01:10:36,640 --> 01:10:40,360
Speaker 1: and then boom it drops. No more new cases. We're

1230
01:10:40,680 --> 01:10:44,080
Speaker 1: hoping soon because you know, I think you know that

1231
01:10:44,280 --> 01:10:47,160
Speaker 1: right now the treatment is worse than the disease. When

1232
01:10:47,160 --> 01:10:50,000
Speaker 1: you consider in Kansas at least, unemployment just shot up

1233
01:10:50,000 --> 01:10:56,280
Speaker 1: six hundred percent, eleven thousand filings for assistance this week alone,

1234
01:10:56,720 --> 01:11:00,880
Speaker 1: and we only have as of today thirty five cases

1235
01:11:00,920 --> 01:11:03,439
Speaker 1: in one death in the state. So you know, put

1236
01:11:03,439 --> 01:11:07,360
Speaker 1: it in context that this is a manageable thing. The

1237
01:11:07,880 --> 01:11:11,519
Speaker 1: scientific community, the medical community, they're doing amazing work by

1238
01:11:11,800 --> 01:11:15,519
Speaker 1: getting on top of this quickly. The government's at least

1239
01:11:15,520 --> 01:11:17,719
Speaker 1: helping by getting out of the way for certain things,

1240
01:11:17,920 --> 01:11:20,040
Speaker 1: but then at the same time, I think they're complicating

1241
01:11:20,040 --> 01:11:23,120
Speaker 1: it by getting in the way of other things. And

1242
01:11:23,760 --> 01:11:27,240
Speaker 1: now people's panic. Had to talk at least two patients

1243
01:11:27,280 --> 01:11:30,919
Speaker 1: down from large anxiety attacks, one that was suicidal, because

1244
01:11:31,040 --> 01:11:34,880
Speaker 1: the fear of a system wide shutdown is worse than

1245
01:11:34,920 --> 01:11:39,360
Speaker 1: the fear of the disease. When you consider in perspective

1246
01:11:39,439 --> 01:11:41,920
Speaker 1: that eighty people have died on average from the flu

1247
01:11:42,280 --> 01:11:46,000
Speaker 1: every day for the last five months, and we haven't

1248
01:11:46,040 --> 01:11:49,879
Speaker 1: seen numbers like that, And why is this so different?

1249
01:11:49,920 --> 01:11:53,320
Speaker 1: Why is the world changed so dramatically when we know

1250
01:11:53,439 --> 01:11:57,320
Speaker 1: these numbers are real in terms of five whatever thousand

1251
01:11:57,800 --> 01:12:00,759
Speaker 1: worldwide people die in the last pandemic, tens of thousands

1252
01:12:00,840 --> 01:12:03,960
Speaker 1: die from the flu. What is different here? I think

1253
01:12:04,000 --> 01:12:06,679
Speaker 1: we've politicized it to some degree. But I also think,

1254
01:12:06,720 --> 01:12:08,519
Speaker 1: like with the swine flu, we called it the swine

1255
01:12:08,560 --> 01:12:11,120
Speaker 1: flu to start with before renameing H one in one,

1256
01:12:11,479 --> 01:12:14,280
Speaker 1: and so I think people just naturally took that as Okay,

1257
01:12:14,320 --> 01:12:17,000
Speaker 1: this is a new flu, a worse flu. But I

1258
01:12:17,120 --> 01:12:21,000
Speaker 1: understand the flu. If we would have called the Corona flu,

1259
01:12:21,120 --> 01:12:22,760
Speaker 1: I think we would have been able to keep this

1260
01:12:22,840 --> 01:12:27,559
Speaker 1: in perspectives had a corona component to it. It did, Yeah,

1261
01:12:27,560 --> 01:12:30,760
Speaker 1: we know the family of coronaviruses. This is a new

1262
01:12:30,800 --> 01:12:33,000
Speaker 1: piece to it. But it's not doing anything that we

1263
01:12:33,080 --> 01:12:36,839
Speaker 1: don't expect viruses to do. It's it's not suddenly changing

1264
01:12:36,840 --> 01:12:40,519
Speaker 1: into a brand new thing. It's it's not causing you

1265
01:12:40,800 --> 01:12:46,200
Speaker 1: tumors or seizures or something just radical for a respiratory virus.

1266
01:12:46,479 --> 01:12:51,240
Speaker 1: And every year we handle a very serious respiratory virus

1267
01:12:51,280 --> 01:12:54,400
Speaker 1: for five months out of the year. That changes in

1268
01:12:54,520 --> 01:12:57,840
Speaker 1: type every year, and we adapt to that. We live

1269
01:12:57,880 --> 01:13:01,880
Speaker 1: our lives. We you know, probably don't practice the best

1270
01:13:02,000 --> 01:13:05,479
Speaker 1: infectious disease precautions when people you know are having symptoms

1271
01:13:05,479 --> 01:13:08,599
Speaker 1: and still travel to you know, for holidays and whatnot.

1272
01:13:08,800 --> 01:13:12,160
Speaker 1: So I think we'll learn better how to focus on that.

1273
01:13:13,080 --> 01:13:15,600
Speaker 1: But I do feel like we swung so far, you know,

1274
01:13:15,680 --> 01:13:19,320
Speaker 1: I personally, professionally. The argument what we can never do,

1275
01:13:19,520 --> 01:13:21,880
Speaker 1: We'll never know if we did too much, and sure

1276
01:13:22,000 --> 01:13:24,680
Speaker 1: perfections the head of a needle, not doing too much

1277
01:13:24,760 --> 01:13:28,880
Speaker 1: or too little, but doing too little sure is wrong,

1278
01:13:29,120 --> 01:13:32,400
Speaker 1: but racking the economy. One of my patients is a

1279
01:13:32,479 --> 01:13:35,440
Speaker 1: small business owner and had to let go all seventeen employees.

1280
01:13:35,960 --> 01:13:39,200
Speaker 1: So seventeen people lost their jobs and we've only had

1281
01:13:39,240 --> 01:13:42,720
Speaker 1: one death in the state of Kansas, three out of run.

1282
01:13:42,800 --> 01:13:45,280
Speaker 1: But how quickly do you do you believe it'll be

1283
01:13:45,280 --> 01:13:47,240
Speaker 1: a leveling off, because I know the numbers will be

1284
01:13:47,240 --> 01:13:49,880
Speaker 1: scary for the next few weeks, Doctor Ski, Doctor Siegel,

1285
01:13:50,520 --> 01:13:52,479
Speaker 1: I think it's I think it. We use China as

1286
01:13:52,479 --> 01:13:55,240
Speaker 1: a model, which is hard to do. We don't know

1287
01:13:55,360 --> 01:13:57,920
Speaker 1: South Korea. Use them, Yeah, South Korea. If we can

1288
01:13:57,960 --> 01:14:00,160
Speaker 1: do what they did, we're going to start to see

1289
01:14:00,080 --> 01:14:01,840
Speaker 1: a level off in a couple of weeks. I really

1290
01:14:01,840 --> 01:14:04,360
Speaker 1: do think we could see it in mid April, leveling

1291
01:14:04,400 --> 01:14:07,439
Speaker 1: off if we really really become vigilant and get and

1292
01:14:07,520 --> 01:14:09,720
Speaker 1: teach our children by the way, that we're courageous, that

1293
01:14:09,760 --> 01:14:12,000
Speaker 1: this is America. One last thing, Sean. We don't lose

1294
01:14:12,040 --> 01:14:14,280
Speaker 1: wars here, we win them. So we're going to beat

1295
01:14:14,320 --> 01:14:16,840
Speaker 1: this virus. People need to remember that. All right, Thank

1296
01:14:16,880 --> 01:14:18,800
Speaker 1: you both, appreciate it. Eight hundred and nine for one,

1297
01:14:18,800 --> 01:14:22,080
Speaker 1: Sean Tolfree telephone number. When we come back to we're

1298
01:14:22,080 --> 01:14:26,080
Speaker 1: gonna look at this from a perspective of okay, so

1299
01:14:26,160 --> 01:14:28,960
Speaker 1: much more to examine as it relates to Okay, how

1300
01:14:28,960 --> 01:14:33,400
Speaker 1: are people viewing the response? Well, early numbers show very favorably.

1301
01:14:33,479 --> 01:14:35,519
Speaker 1: And I think it's obvious if you just watch these

1302
01:14:35,520 --> 01:14:38,639
Speaker 1: press conferences, you can see it's all hands on deck

1303
01:14:38,680 --> 01:14:41,080
Speaker 1: and as it should be, as it evolved, as the

1304
01:14:41,080 --> 01:14:43,719
Speaker 1: governor said, and as our doctor said. We'll continue going

1305
01:14:43,840 --> 01:14:48,240
Speaker 1: up next our final news round up and information overload hours.

1306
01:14:48,360 --> 01:14:50,599
Speaker 1: Is it possible that your impulse to put a positive

1307
01:14:50,640 --> 01:14:56,680
Speaker 1: spin on things maybe giving Americans a false right now? Well,

1308
01:14:56,720 --> 01:14:59,120
Speaker 1: I don't think so. I think that I think it's

1309
01:14:59,160 --> 01:15:01,840
Speaker 1: got no not yet a pretty drug on any social

1310
01:15:01,960 --> 01:15:05,439
Speaker 1: love a portion. Um. Look, it may work and it

1311
01:15:05,479 --> 01:15:08,320
Speaker 1: may not work. And I agree with the doctor what

1312
01:15:08,439 --> 01:15:11,840
Speaker 1: he said, may work, may not work. I feel good

1313
01:15:11,840 --> 01:15:14,439
Speaker 1: about its toil. It is just a feeling. You know.

1314
01:15:14,479 --> 01:15:17,240
Speaker 1: I'm a smart guy. I feel good about him and

1315
01:15:17,360 --> 01:15:20,800
Speaker 1: looking to see you're gonna see soon enough. I have

1316
01:15:20,840 --> 01:15:23,560
Speaker 1: a feeling you may And I'm not being overly optimistic

1317
01:15:23,600 --> 01:15:26,720
Speaker 1: or pessimistic. I sure, as he'll think, we already give

1318
01:15:26,720 --> 01:15:29,599
Speaker 1: it a try. I mean, there's been some interesting things

1319
01:15:29,640 --> 01:15:33,360
Speaker 1: happened and some good, very good things. Let's see what happens.

1320
01:15:33,400 --> 01:15:36,240
Speaker 1: We have nothing to lose. You know the expression, what

1321
01:15:36,280 --> 01:15:39,080
Speaker 1: the hell do you have to lose? Okay, so what

1322
01:15:39,120 --> 01:15:44,800
Speaker 1: do you think? Follow up? John heard that were scared, though,

1323
01:15:44,840 --> 01:15:48,559
Speaker 1: I guess you'll be two hundred dead, fourteen thousand yours

1324
01:15:48,560 --> 01:15:51,760
Speaker 1: set millions as you witness who are scared right now?

1325
01:15:51,880 --> 01:15:53,519
Speaker 1: What do you say to Americans who are watching you

1326
01:15:53,640 --> 01:15:56,360
Speaker 1: right now, who are scared? I say that you're a

1327
01:15:56,439 --> 01:15:59,479
Speaker 1: terrible reporter. That's what I say. Just say, you know,

1328
01:16:00,680 --> 01:16:07,720
Speaker 1: for the probe hundred I this administration inherited an obsolete,

1329
01:16:08,479 --> 01:16:13,480
Speaker 1: broken old system that wasn't meant for this. We discarded

1330
01:16:13,520 --> 01:16:17,160
Speaker 1: that system and we now have a new system that

1331
01:16:17,240 --> 01:16:21,560
Speaker 1: can do millions of people as you need them. But

1332
01:16:21,760 --> 01:16:24,240
Speaker 1: we had to get rid of a broken old system

1333
01:16:24,400 --> 01:16:27,919
Speaker 1: that didn't work. It worked only on a very limited basis.

1334
01:16:29,040 --> 01:16:32,040
Speaker 1: And we're very proud of what we've done. It's incredible

1335
01:16:32,080 --> 01:16:34,880
Speaker 1: what we've done, and this system will now serve for

1336
01:16:34,920 --> 01:16:37,400
Speaker 1: the future for future problems. Hopefully you don't have a

1337
01:16:37,439 --> 01:16:40,600
Speaker 1: problem like this, but something will come up. We have

1338
01:16:40,720 --> 01:16:44,599
Speaker 1: now a great system and it's almost fully in gear,

1339
01:16:44,760 --> 01:16:48,000
Speaker 1: but it's able to test millions of people. But we

1340
01:16:48,120 --> 01:16:55,920
Speaker 1: inherited a broken old Frankly, a terrible system. We fixed it,

1341
01:16:56,720 --> 01:16:59,360
Speaker 1: and we've done a great job, and we haven't been

1342
01:16:59,400 --> 01:17:01,800
Speaker 1: given to that. We deserved that, I can tell you.

1343
01:17:01,960 --> 01:17:05,360
Speaker 1: But the one that really deserves the credit of the

1344
01:17:05,400 --> 01:17:09,639
Speaker 1: American people because they are doing things that nobody thought

1345
01:17:09,960 --> 01:17:13,800
Speaker 1: they would do. What they're doing is incredible. All right.

1346
01:17:13,840 --> 01:17:16,080
Speaker 1: There is just a sampling of the medium mop you know,

1347
01:17:16,120 --> 01:17:19,679
Speaker 1: it's it is. It's just unbelievable. They know one speed

1348
01:17:20,160 --> 01:17:23,000
Speaker 1: and it's bludgeon Trump, you know, I mean, Linda, We

1349
01:17:23,120 --> 01:17:26,680
Speaker 1: have posted on Hannity dot com, for example, what we

1350
01:17:26,760 --> 01:17:29,599
Speaker 1: have been saying about, Yeah, this is scary this virus

1351
01:17:29,600 --> 01:17:32,479
Speaker 1: since January twenty eighth, and we've been saying, have we

1352
01:17:32,600 --> 01:17:36,000
Speaker 1: been talking about those weaponizing a virus and bludgeoning the

1353
01:17:36,000 --> 01:17:39,360
Speaker 1: president and trying to turn it into quote, their hoax. Yes,

1354
01:17:39,479 --> 01:17:42,559
Speaker 1: we've been very specific. It's very unfortunate that we had that.

1355
01:17:43,240 --> 01:17:46,360
Speaker 1: We had doctor Fauci on February tenth. I said on

1356
01:17:46,560 --> 01:17:50,960
Speaker 1: January twenty eighth, asymptomatic people are spreading this thing, and

1357
01:17:51,080 --> 01:17:55,920
Speaker 1: apparently it is going wide and fast quickly because we

1358
01:17:56,040 --> 01:17:58,280
Speaker 1: just noticed the data that was even before the travel ban.

1359
01:17:58,680 --> 01:18:00,360
Speaker 1: So we put it all up there and then all

1360
01:18:00,360 --> 01:18:05,120
Speaker 1: these media outlets. When you even give them the information,

1361
01:18:05,400 --> 01:18:07,240
Speaker 1: they'll say Hannity said, it's a hoax, and I said,

1362
01:18:07,240 --> 01:18:09,040
Speaker 1: people are trying to bludge in the president with it.

1363
01:18:09,240 --> 01:18:11,800
Speaker 1: For them, it's their new oh, the new one. And

1364
01:18:11,960 --> 01:18:16,360
Speaker 1: it is just it's shameful. It's shameful, and it's sad

1365
01:18:16,439 --> 01:18:19,320
Speaker 1: because if they took as much effort into just reporting

1366
01:18:19,320 --> 01:18:22,920
Speaker 1: what was happening, doing the facts, not fear methodology that

1367
01:18:22,960 --> 01:18:25,360
Speaker 1: we've been talking about here, we would have so many

1368
01:18:25,400 --> 01:18:28,519
Speaker 1: more people armed with information instead of panic. And it's

1369
01:18:28,560 --> 01:18:31,760
Speaker 1: really very Yesterday was the biggest. Well, we've had a

1370
01:18:31,760 --> 01:18:35,679
Speaker 1: couple of big days here. One is the president. We've

1371
01:18:35,920 --> 01:18:39,400
Speaker 1: first case of corona identified in the States January twenty first,

1372
01:18:39,400 --> 01:18:41,800
Speaker 1: ten days later, the travel band and then the quarantine,

1373
01:18:41,840 --> 01:18:44,479
Speaker 1: then expanding the travel ban. Democrats were impeaching the president.

1374
01:18:44,479 --> 01:18:46,599
Speaker 1: You want to play politics, I'll go there. We could

1375
01:18:46,600 --> 01:18:48,960
Speaker 1: do that too. Then of course the President bringing in

1376
01:18:49,040 --> 01:18:52,160
Speaker 1: all these people from private industry and then announcing they

1377
01:18:52,160 --> 01:18:55,040
Speaker 1: were doing it behind closed doors, outside of the purview

1378
01:18:55,080 --> 01:18:57,559
Speaker 1: of the media and the American people because they had

1379
01:18:57,560 --> 01:18:59,800
Speaker 1: to pull it together. And then we have drive up.

1380
01:19:00,320 --> 01:19:03,200
Speaker 1: Now they're getting those sites as quickly as possible set up,

1381
01:19:03,520 --> 01:19:05,519
Speaker 1: and many of them have now been set up. Not

1382
01:19:05,640 --> 01:19:08,120
Speaker 1: enough yet, yes, but that's gonna take time, but they're

1383
01:19:08,160 --> 01:19:11,839
Speaker 1: getting it done. Then yesterday we have the announcement about

1384
01:19:11,880 --> 01:19:14,880
Speaker 1: the chloroquin I won't go through the scientific studies again,

1385
01:19:15,479 --> 01:19:22,320
Speaker 1: and ran dissevere and convalescent plasma, blood plasma, and all

1386
01:19:22,360 --> 01:19:25,040
Speaker 1: of this stuff is happening all at once, and trying

1387
01:19:25,040 --> 01:19:27,160
Speaker 1: to keep supplies open and the President talking with the

1388
01:19:27,160 --> 01:19:30,840
Speaker 1: grocery chains this weekend, you know what, and watching like

1389
01:19:30,920 --> 01:19:33,519
Speaker 1: the car companies. We'll make ventilators. What do you need?

1390
01:19:33,960 --> 01:19:36,120
Speaker 1: Then you see all these other industries, Yeah, you can

1391
01:19:36,200 --> 01:19:38,240
Speaker 1: use our stuff. We'll get it together. We'll do whatever

1392
01:19:38,280 --> 01:19:41,360
Speaker 1: you want. I mean, it's been you've seen the best

1393
01:19:41,400 --> 01:19:43,720
Speaker 1: of people, but not the mob. I mean, I'm not

1394
01:19:43,720 --> 01:19:45,880
Speaker 1: even gonna talk about I just had to post it

1395
01:19:45,920 --> 01:19:48,800
Speaker 1: on Hannity dot com. I'm not wasting my precious showtime

1396
01:19:49,280 --> 01:19:52,120
Speaker 1: talking about their stupidity. So Sean, just for our listeners

1397
01:19:52,160 --> 01:19:54,439
Speaker 1: really quickly before we get to our awesome panel of guests.

1398
01:19:54,720 --> 01:19:57,160
Speaker 1: You can find it on Sean's Twitter. It's tinned to

1399
01:19:57,200 --> 01:19:59,160
Speaker 1: the topic, gives you a timeline of when we talked

1400
01:19:59,160 --> 01:20:01,600
Speaker 1: about it, what we said, and the experts we spoke to.

1401
01:20:01,640 --> 01:20:04,000
Speaker 1: It has cars. It's not about me. No, no, but

1402
01:20:04,080 --> 01:20:06,919
Speaker 1: let me just tell them it's there. So look for yourself,

1403
01:20:07,040 --> 01:20:08,920
Speaker 1: don't listen to the mainstream. Deal with this when this

1404
01:20:09,000 --> 01:20:11,120
Speaker 1: crisis is over. Let's put it that way, doctor Fauci.

1405
01:20:11,200 --> 01:20:15,439
Speaker 1: For example, coronavirus vaccine trial has begun. That's great news.

1406
01:20:15,840 --> 01:20:18,320
Speaker 1: You have a lot of other positive updates that you

1407
01:20:18,320 --> 01:20:22,040
Speaker 1: know we're getting, and this chloric quin study is massive.

1408
01:20:22,120 --> 01:20:24,160
Speaker 1: You had this guy Rogano that was on with Laura

1409
01:20:24,200 --> 01:20:28,400
Speaker 1: the other night reporting that chlora Quinn's successful and fighting advirus.

1410
01:20:28,800 --> 01:20:31,080
Speaker 1: My advice is, if you think you or somebody you

1411
01:20:31,120 --> 01:20:33,720
Speaker 1: know hazard or might be at risk of it, you know,

1412
01:20:34,160 --> 01:20:37,840
Speaker 1: try and get chloroquin, which was an anti malaria drug.

1413
01:20:37,960 --> 01:20:40,519
Speaker 1: I would urge everyone that thinks they needed to go

1414
01:20:40,600 --> 01:20:43,200
Speaker 1: get it. That's my advice. Anything I know, I'm going

1415
01:20:43,240 --> 01:20:44,880
Speaker 1: to share with you. Then you get the worst of people,

1416
01:20:44,960 --> 01:20:48,400
Speaker 1: these these these idiotic senators, now four of them selling

1417
01:20:48,439 --> 01:20:52,080
Speaker 1: their stocks as they are getting information and not sharing

1418
01:20:52,080 --> 01:20:55,600
Speaker 1: it with us. Okay, we found out yesterday about chloroquinn.

1419
01:20:55,720 --> 01:20:57,920
Speaker 1: I'm sharing it with you. And by the way, chlora

1420
01:20:58,000 --> 01:21:01,960
Speaker 1: Quinn with Ziromax is the perfect combination. That's what I

1421
01:21:02,120 --> 01:21:05,000
Speaker 1: see for myself, and I'm sharing it with you as

1422
01:21:05,040 --> 01:21:06,960
Speaker 1: we get it in real time. Didn't hear about it

1423
01:21:07,040 --> 01:21:11,519
Speaker 1: till yesterday. Anyway, We're not really doing polsters in the

1424
01:21:11,560 --> 01:21:14,000
Speaker 1: traditional sense that we do posters, but we brought our

1425
01:21:14,040 --> 01:21:18,080
Speaker 1: posters in John McLaughlin, Matt Towery, Scott Rasmussen and you know,

1426
01:21:18,560 --> 01:21:20,880
Speaker 1: high marks for the president in terms of Scott and

1427
01:21:20,960 --> 01:21:23,360
Speaker 1: Rasmussen will start with you. And there's handling of all

1428
01:21:23,400 --> 01:21:27,920
Speaker 1: of this, and we have what we have other polls

1429
01:21:27,960 --> 01:21:30,960
Speaker 1: out there new fifty five percent of Americans approved the

1430
01:21:30,960 --> 01:21:33,840
Speaker 1: president's handling of it, in spite of the media and

1431
01:21:33,960 --> 01:21:37,160
Speaker 1: some other polls. But you know it's I think really

1432
01:21:37,200 --> 01:21:41,240
Speaker 1: the measure right now isn't about polling for politics. It's

1433
01:21:41,240 --> 01:21:43,599
Speaker 1: about are we getting the job done? Did the American

1434
01:21:43,640 --> 01:21:45,960
Speaker 1: people feel in your polls that the job is getting

1435
01:21:45,960 --> 01:21:49,040
Speaker 1: done well? We did a poll for one American News

1436
01:21:49,160 --> 01:21:53,040
Speaker 1: Eighty nine percent of American voters said that they approved

1437
01:21:53,040 --> 01:21:55,840
Speaker 1: of the China travel ban. Eighty four percent approved of

1438
01:21:55,840 --> 01:21:58,639
Speaker 1: the European travel ban. And you know, we never get

1439
01:21:58,680 --> 01:22:01,680
Speaker 1: eighty percent plus on whether it's reigning outside or not.

1440
01:22:01,760 --> 01:22:05,960
Speaker 1: So those are phenomenal numbers. The ABC poll that came

1441
01:22:05,960 --> 01:22:08,679
Speaker 1: out today is showing a fifty five percent of approve

1442
01:22:08,720 --> 01:22:10,960
Speaker 1: of the way the president is handling this job. What

1443
01:22:11,040 --> 01:22:14,559
Speaker 1: we see right now, bluntly is they recognize this as

1444
01:22:14,600 --> 01:22:18,519
Speaker 1: a novel situation. I tend to think of what Franklin

1445
01:22:18,600 --> 01:22:21,240
Speaker 1: Roosevelt talked about during the depression. What the country is

1446
01:22:21,280 --> 01:22:27,280
Speaker 1: demanding is experimentation, bold, persistent experimentation, and if something works, great,

1447
01:22:27,360 --> 01:22:31,120
Speaker 1: If it doesn't, we'll try something else. And you know, ultimately,

1448
01:22:31,160 --> 01:22:34,880
Speaker 1: this is about getting results. It's not about if we're

1449
01:22:34,880 --> 01:22:38,479
Speaker 1: not going to be talking about the different demographic groups

1450
01:22:38,479 --> 01:22:40,000
Speaker 1: and who they're going to vote for right now. It's

1451
01:22:40,040 --> 01:22:42,800
Speaker 1: about how people are responding to this concern. And look,

1452
01:22:43,000 --> 01:22:45,679
Speaker 1: nine out of ten Americans are following the story closely

1453
01:22:46,160 --> 01:22:49,160
Speaker 1: eight out of ten have concern, but most of them

1454
01:22:49,200 --> 01:22:51,559
Speaker 1: aren't panicked about it. At this point in time. All

1455
01:22:51,600 --> 01:22:54,840
Speaker 1: of the data shows people are getting the message and

1456
01:22:54,920 --> 01:22:59,240
Speaker 1: beginning to respond. Your take, Matt Powering, Well, let me

1457
01:22:59,280 --> 01:23:02,559
Speaker 1: start by saying this. Go back and listen to the tape. Sean,

1458
01:23:03,080 --> 01:23:05,519
Speaker 1: you were talking about this before most people were. I

1459
01:23:05,520 --> 01:23:07,720
Speaker 1: remember one day saying to you that we were talking

1460
01:23:07,720 --> 01:23:11,400
Speaker 1: about impeachment and in fact this virus could actually overwhelm

1461
01:23:11,720 --> 01:23:14,599
Speaker 1: the impeachment proceedings. They would be fiddling while Rome burns.

1462
01:23:14,640 --> 01:23:17,439
Speaker 1: So I think all that's nonsense. We were on it,

1463
01:23:17,560 --> 01:23:20,240
Speaker 1: Everyone was on it early. The second thing I want

1464
01:23:20,240 --> 01:23:22,960
Speaker 1: to note is is that the president is truly now

1465
01:23:23,000 --> 01:23:26,840
Speaker 1: becoming a wartime president. That is not just the cliche

1466
01:23:27,080 --> 01:23:30,080
Speaker 1: and the fact that the ABC News poll begins to

1467
01:23:30,800 --> 01:23:33,960
Speaker 1: follow an echo what Scott. His poll tells us that

1468
01:23:34,000 --> 01:23:36,360
Speaker 1: the American people are putting aside politics at the time

1469
01:23:36,439 --> 01:23:38,800
Speaker 1: being to say the president's doing a good job. By

1470
01:23:38,840 --> 01:23:41,120
Speaker 1: the way the media does. I looked at that ABC poll.

1471
01:23:41,520 --> 01:23:43,800
Speaker 1: Their headline is not that the president has fifty five

1472
01:23:43,800 --> 01:23:47,200
Speaker 1: percent approval rating of his handling. No, it's that four

1473
01:23:47,400 --> 01:23:49,680
Speaker 1: one excuse me, three and four Americans bee like it's

1474
01:23:49,680 --> 01:23:53,000
Speaker 1: affecting them personally, So that's their headline. They vary the

1475
01:23:53,040 --> 01:23:55,720
Speaker 1: approval rating for the president down below. I think the

1476
01:23:55,760 --> 01:23:59,280
Speaker 1: president's doing everything he can. He literally has reinvented the

1477
01:23:59,280 --> 01:24:01,679
Speaker 1: wheel and matter of a few weeks, yes, is there

1478
01:24:01,680 --> 01:24:03,600
Speaker 1: more that can be done, It will be done. I

1479
01:24:03,640 --> 01:24:05,920
Speaker 1: feel like the president's doing it incrementally. We talked about

1480
01:24:05,960 --> 01:24:09,280
Speaker 1: that last time. But I think overall, this president is

1481
01:24:09,640 --> 01:24:11,720
Speaker 1: in the ends, are going to find that he'll be

1482
01:24:11,760 --> 01:24:14,880
Speaker 1: a stronger president in the eyes of more Americans when

1483
01:24:14,920 --> 01:24:16,920
Speaker 1: this thing is finally through and we get to the

1484
01:24:17,000 --> 01:24:19,760
Speaker 1: light at the end of the tunnel. John McLaughlin, I

1485
01:24:20,200 --> 01:24:25,040
Speaker 1: gotta amplify what Scott said, because the amazing part about

1486
01:24:25,120 --> 01:24:29,040
Speaker 1: here is you have the vast majority of public opinion

1487
01:24:29,080 --> 01:24:32,360
Speaker 1: in his published poll where they're saying they're in favor

1488
01:24:32,640 --> 01:24:35,439
Speaker 1: of the travel bands. And we're not talking small numbers.

1489
01:24:35,439 --> 01:24:39,160
Speaker 1: We're talking like four or five Americans. And that you know,

1490
01:24:39,560 --> 01:24:42,160
Speaker 1: since then, since Scott took his poll, this week has

1491
01:24:42,200 --> 01:24:45,400
Speaker 1: been action where there we know this strongly in favor

1492
01:24:45,400 --> 01:24:48,040
Speaker 1: of the free testing and this requiring the screening and

1493
01:24:48,080 --> 01:24:50,439
Speaker 1: the shutting down the board. Is that everything he's doing.

1494
01:24:51,040 --> 01:24:54,679
Speaker 1: That's why this ABC News poll, which I normally hate

1495
01:24:55,040 --> 01:24:59,519
Speaker 1: because it's adults, it's not all it's a small sample.

1496
01:24:59,520 --> 01:25:02,680
Speaker 1: It's like hundred and last month they had us a

1497
01:25:02,760 --> 01:25:05,720
Speaker 1: minus eleven forty three approved. There was a response to

1498
01:25:05,760 --> 01:25:09,679
Speaker 1: the coronavirus fifty four disapproved. Now it's a plus twelve

1499
01:25:09,720 --> 01:25:12,439
Speaker 1: fifty five forty three. It's a plus twenty three. For

1500
01:25:12,479 --> 01:25:15,160
Speaker 1: them to show that kind of motion, you've got a

1501
01:25:15,280 --> 01:25:20,000
Speaker 1: three pound dimension going on here where overwhelmingly Americans support

1502
01:25:20,080 --> 01:25:24,840
Speaker 1: this president's policies. They now support his coronavirus what he's

1503
01:25:24,840 --> 01:25:27,280
Speaker 1: doing on a day to day basis, and they took

1504
01:25:27,280 --> 01:25:29,360
Speaker 1: that Paul in the last two days when he announced

1505
01:25:29,360 --> 01:25:31,200
Speaker 1: that they're going to mail checks to people that make

1506
01:25:31,320 --> 01:25:34,479
Speaker 1: under one hundred thousand dollars twelve hundred dollars per person

1507
01:25:34,640 --> 01:25:38,200
Speaker 1: five hundred dollars per child to get the economy gone,

1508
01:25:38,200 --> 01:25:42,160
Speaker 1: because they're more afraid of what the economic impact is

1509
01:25:42,280 --> 01:25:47,240
Speaker 1: right now for more Americans than the short term of

1510
01:25:47,320 --> 01:25:50,280
Speaker 1: thinking that they might get the disease. So that kind

1511
01:25:50,280 --> 01:25:54,320
Speaker 1: of movement in public opinion, then as his policies succeed,

1512
01:25:54,360 --> 01:25:57,719
Speaker 1: which he has public opinion, the army of public opinion

1513
01:25:57,720 --> 01:25:59,880
Speaker 1: in the United States on his favor, that kind of

1514
01:26:00,000 --> 01:26:03,240
Speaker 1: opinion moves to his job and coronavirus. Then it will

1515
01:26:03,320 --> 01:26:06,599
Speaker 1: move to his overall job approval, and then America will

1516
01:26:06,640 --> 01:26:09,320
Speaker 1: be stronger better for it because it has transformed this

1517
01:26:09,439 --> 01:26:12,320
Speaker 1: president the way nine to eleven transformed w as a

1518
01:26:12,360 --> 01:26:15,719
Speaker 1: wartime president. Listen, and it's one of these things. Well,

1519
01:26:16,760 --> 01:26:19,759
Speaker 1: you know, I talked off the record of some reporter.

1520
01:26:19,800 --> 01:26:23,599
Speaker 1: I was mentioning, well, Okay, well, you are talking about

1521
01:26:24,240 --> 01:26:26,320
Speaker 1: people in the media, and I said, let me ask you,

1522
01:26:26,360 --> 01:26:29,400
Speaker 1: this is Trump virus. If you're feeling awful, is that

1523
01:26:29,439 --> 01:26:32,599
Speaker 1: appropriate to you? Is it appropriate when the President says, hey,

1524
01:26:32,920 --> 01:26:34,960
Speaker 1: when he's on a call with governors, Hey, if you

1525
01:26:34,960 --> 01:26:37,200
Speaker 1: guys think you can get it faster, get it and

1526
01:26:37,680 --> 01:26:41,080
Speaker 1: we'll have your back. New York Times, you're on your own.

1527
01:26:41,400 --> 01:26:43,839
Speaker 1: That's how they characterize. I mean, I watched this coverage

1528
01:26:43,840 --> 01:26:45,040
Speaker 1: and I don't want to spend a lot of time

1529
01:26:45,080 --> 01:26:48,160
Speaker 1: on it, but I mean it is so obnoxious because again,

1530
01:26:48,360 --> 01:26:53,639
Speaker 1: weaponizing a virus that is not going to discriminate Republican, Democrat, conservative, liberal,

1531
01:26:53,880 --> 01:26:57,560
Speaker 1: They'll impact anybody. Scott Rasmuss absolutely. And again, now I

1532
01:26:57,600 --> 01:26:59,920
Speaker 1: think it's important to recognize when we talk about the

1533
01:27:00,120 --> 01:27:04,639
Speaker 1: concerned people throughout the country, Republicans, Democrats, young, old are

1534
01:27:04,680 --> 01:27:08,280
Speaker 1: paying attention to this, and they are concerned. By and large.

1535
01:27:08,280 --> 01:27:11,400
Speaker 1: They give most of the political actors, not just the president,

1536
01:27:11,439 --> 01:27:15,680
Speaker 1: but people throughout the economy, governors and also private businesses

1537
01:27:15,680 --> 01:27:18,880
Speaker 1: good marks. The one exception to that is the media.

1538
01:27:19,240 --> 01:27:22,599
Speaker 1: In our one American news fall, half of the voters

1539
01:27:22,000 --> 01:27:26,040
Speaker 1: said that the media has overhyped the problem and created

1540
01:27:26,080 --> 01:27:29,840
Speaker 1: a panic. They've been even worse than that. But stay

1541
01:27:29,920 --> 01:27:32,439
Speaker 1: right there with our posters, with us eight hundred nine

1542
01:27:32,479 --> 01:27:36,160
Speaker 1: four one sean, all right, as we continue with our posters,

1543
01:27:36,240 --> 01:27:39,639
Speaker 1: John mclatham, Matt Towery, and Scott Rasmuss and guys, thank

1544
01:27:39,680 --> 01:27:42,760
Speaker 1: you for staying with us and John moving forward, I

1545
01:27:42,760 --> 01:27:45,080
Speaker 1: think that the most important thing for people to understand

1546
01:27:45,200 --> 01:27:47,160
Speaker 1: is that this country has been through a lot. We've

1547
01:27:47,200 --> 01:27:50,000
Speaker 1: been through depression. My parents grew up in depression. My

1548
01:27:50,040 --> 01:27:53,559
Speaker 1: grandparents had no money. Both my parents grew up poor.

1549
01:27:53,760 --> 01:27:55,840
Speaker 1: We've been through my father fault in World War Two.

1550
01:27:55,880 --> 01:28:00,320
Speaker 1: We beat back fascism, Nazism, and imperial Japan, communism, radical Islam,

1551
01:28:00,479 --> 01:28:03,280
Speaker 1: nine to eleven, you name it. We've we've taken the hits.

1552
01:28:03,560 --> 01:28:07,000
Speaker 1: But America also has had pandemics. And my guess is

1553
01:28:07,000 --> 01:28:08,600
Speaker 1: we're going to lead the way out of this like

1554
01:28:08,680 --> 01:28:11,880
Speaker 1: we always do. Absolutely. And you and I both know

1555
01:28:12,040 --> 01:28:14,640
Speaker 1: the president personally, and we've known him for years. And

1556
01:28:14,680 --> 01:28:17,800
Speaker 1: the president what people don't know about him, or what

1557
01:28:17,840 --> 01:28:20,080
Speaker 1: they forget is everybody knows he wrote Art of the Deal,

1558
01:28:20,080 --> 01:28:24,040
Speaker 1: and he's a successful you know, he's a successful billionaire

1559
01:28:24,080 --> 01:28:27,760
Speaker 1: that developed an empire. But he almost went broke, and

1560
01:28:27,840 --> 01:28:30,639
Speaker 1: he was in bankruptcy, and he was a billion dollars

1561
01:28:30,680 --> 01:28:33,400
Speaker 1: in debt. And his most important book was the one

1562
01:28:33,479 --> 01:28:36,200
Speaker 1: The Art of the Comeback, where he said he'd lost

1563
01:28:36,240 --> 01:28:38,840
Speaker 1: focused and then when he was focused, he brought it

1564
01:28:38,880 --> 01:28:41,439
Speaker 1: all back and was bigger and stronger. And you can

1565
01:28:41,479 --> 01:28:44,920
Speaker 1: see that personal determination and quality in him right now,

1566
01:28:44,920 --> 01:28:48,320
Speaker 1: where he's bringing America back and he's getting things done.

1567
01:28:48,360 --> 01:28:51,160
Speaker 1: I don't think anyone else would get done. And whether

1568
01:28:51,200 --> 01:28:55,200
Speaker 1: it's working for the vaccine or working for the treatments

1569
01:28:55,760 --> 01:28:58,519
Speaker 1: and doing the things to shut this country down to

1570
01:28:58,680 --> 01:29:01,840
Speaker 1: protect it while keep in the economy going, I think

1571
01:29:01,880 --> 01:29:04,200
Speaker 1: only he's capable of doing that. Right now, we have

1572
01:29:04,320 --> 01:29:08,439
Speaker 1: twenty five seconds each Matt Tower and then Scott Well,

1573
01:29:08,479 --> 01:29:10,679
Speaker 1: I think the president, if I want to talk about

1574
01:29:10,720 --> 01:29:13,719
Speaker 1: what he's done in the finance world, in the economy

1575
01:29:13,800 --> 01:29:16,759
Speaker 1: very quickly. This president has moved with lightning speed along

1576
01:29:16,760 --> 01:29:19,160
Speaker 1: with the Fed to do things behind the scenes we

1577
01:29:19,280 --> 01:29:21,840
Speaker 1: haven't even most people don't even understand. We still got

1578
01:29:21,840 --> 01:29:24,160
Speaker 1: to show up the credit markets. That's the next problem

1579
01:29:24,200 --> 01:29:26,280
Speaker 1: we're going to have, but we're going to see in

1580
01:29:26,280 --> 01:29:29,280
Speaker 1: the end will be economically stronger down the road because

1581
01:29:29,320 --> 01:29:33,240
Speaker 1: of what Donald Trump did in the last two weeks unbelievable,

1582
01:29:33,360 --> 01:29:36,920
Speaker 1: Scott last work today. Well, look the fact that we're

1583
01:29:36,960 --> 01:29:39,080
Speaker 1: in a place where the president is getting such good

1584
01:29:39,120 --> 01:29:42,479
Speaker 1: reviews despite the media coverage, speaks Volumes. I think the

1585
01:29:42,560 --> 01:29:44,320
Speaker 1: thing to keep in mind for everybody, and a lot

1586
01:29:44,320 --> 01:29:48,479
Speaker 1: of Republicans tend to be overconfident about the situation. Can

1587
01:29:48,479 --> 01:29:51,320
Speaker 1: to keep in mind is that this is an ongoing situation.

1588
01:29:51,439 --> 01:29:54,479
Speaker 1: So what the President did today or last week is

1589
01:29:54,520 --> 01:29:57,160
Speaker 1: good getting us to this point. Got to keep doing it.

1590
01:29:57,200 --> 01:29:58,760
Speaker 1: And that's where you're going to see a lot of

1591
01:29:58,920 --> 01:30:02,240
Speaker 1: a lot of ongoing discussion, a lot of changes because

1592
01:30:02,320 --> 01:30:06,520
Speaker 1: this situation is not a one time thing. A Republicans

1593
01:30:06,640 --> 01:30:09,519
Speaker 1: right now tend to believe the economy will bounce back quickly.

1594
01:30:09,600 --> 01:30:13,080
Speaker 1: Democrats don't. But the reality is people are uncertain, and

1595
01:30:13,120 --> 01:30:16,080
Speaker 1: they're scared, and they want to see ongoing action. Yeah,

1596
01:30:16,160 --> 01:30:18,479
Speaker 1: well said all of you appreciate at eight hundred ninety

1597
01:30:18,479 --> 01:30:19,840
Speaker 1: four one, Sean, you want to be a part of

1598
01:30:19,840 --> 01:30:23,519
Speaker 1: the program, all right, These Navy ships that hospital ships

1599
01:30:23,520 --> 01:30:26,400
Speaker 1: that are one on each coast. We're going to check

1600
01:30:26,479 --> 01:30:29,120
Speaker 1: in with a former CIA station chief who was once

1601
01:30:29,120 --> 01:30:34,520
Speaker 1: submission manager for the Navy ship Mercy out of Alameda, California.

1602
01:30:34,640 --> 01:30:36,200
Speaker 1: We'll check in with him, and we're going to get

1603
01:30:36,240 --> 01:30:38,479
Speaker 1: your calls in next half hour. We have an amazing

1604
01:30:38,520 --> 01:30:41,400
Speaker 1: lineup Hannity tonight, nine Eastern quick break, right back, we'll

1605
01:30:41,439 --> 01:30:44,040
Speaker 1: continue all right twenty five now to the top of

1606
01:30:44,040 --> 01:30:47,760
Speaker 1: the hour. For those of you that didn't here, don't know,

1607
01:30:48,080 --> 01:30:52,400
Speaker 1: there are two US Navy hospital ships. One is now

1608
01:30:52,439 --> 01:30:55,040
Speaker 1: going to the East Coast of New York outside of

1609
01:30:55,080 --> 01:30:56,679
Speaker 1: New York and the East Coast and on the West

1610
01:30:56,680 --> 01:31:01,400
Speaker 1: coast in California, and there are amazing facilities. And I

1611
01:31:01,439 --> 01:31:04,520
Speaker 1: think if things got dramatically worse than what we anticipate

1612
01:31:04,560 --> 01:31:07,040
Speaker 1: at some point, knowing we're going to bail out the

1613
01:31:07,040 --> 01:31:10,639
Speaker 1: cruise lines, it might be worthy of consideration to start

1614
01:31:10,680 --> 01:31:13,080
Speaker 1: preparing perhaps one or two, or three or four of

1615
01:31:13,120 --> 01:31:16,200
Speaker 1: those ships. They're massive. I'm not the big I don't

1616
01:31:16,200 --> 01:31:19,360
Speaker 1: really love those cruise ships. I'm not a big cruiser person.

1617
01:31:19,920 --> 01:31:23,479
Speaker 1: I like wide open spaces, as the song goes, but

1618
01:31:23,560 --> 01:31:27,720
Speaker 1: they really do incredible work. And the Navy's floating hospital,

1619
01:31:27,840 --> 01:31:32,240
Speaker 1: the USNS Comfort sent to New York after nine to eleven.

1620
01:31:32,880 --> 01:31:35,760
Speaker 1: Now it's going to lend a hand once again, this

1621
01:31:35,840 --> 01:31:38,799
Speaker 1: time again outside of New York. It has a thousand beds,

1622
01:31:38,880 --> 01:31:43,559
Speaker 1: twelve fully equipped operating rooms, and up to twelve hundred doctors,

1623
01:31:43,640 --> 01:31:48,560
Speaker 1: nurses and medical specialists. And you know, they've convert converted

1624
01:31:48,680 --> 01:31:53,160
Speaker 1: the Supertanker. It's emblazoned with a giant red cross, and

1625
01:31:53,400 --> 01:31:56,360
Speaker 1: it is now undergoing maintenance and its home in Norfolk

1626
01:31:56,439 --> 01:32:00,080
Speaker 1: and is expected to treat you know, patients if they're

1627
01:32:00,120 --> 01:32:03,639
Speaker 1: is in fact some overcrowding in hospitals anyway, Scott Ulinger

1628
01:32:03,680 --> 01:32:06,519
Speaker 1: with us. He's a guest on this program. Former CIA

1629
01:32:06,680 --> 01:32:11,360
Speaker 1: Stations chief, but he sailed six years in the Merchant

1630
01:32:11,360 --> 01:32:14,639
Speaker 1: Marines and was the mission manager for the USNS Mercy

1631
01:32:14,720 --> 01:32:18,840
Speaker 1: out of Alameda, California. Very familiar with these ships, Scott.

1632
01:32:18,840 --> 01:32:20,920
Speaker 1: I just wanted to get a little insight. I mean,

1633
01:32:21,439 --> 01:32:25,160
Speaker 1: these sound remarkable to me. They really, they really are.

1634
01:32:25,320 --> 01:32:29,280
Speaker 1: And actually it's the foresight of the Reagan administration that

1635
01:32:29,360 --> 01:32:32,719
Speaker 1: these ships exist, because these were built during the Reagan

1636
01:32:32,840 --> 01:32:35,439
Speaker 1: years as part of the sixth Internship Navy as we

1637
01:32:35,439 --> 01:32:40,800
Speaker 1: were responding to the Soviet Union. Yeah, yeah, tell us

1638
01:32:40,800 --> 01:32:44,280
Speaker 1: what's inside and how important can that play a role

1639
01:32:44,320 --> 01:32:47,400
Speaker 1: if there's overcrowding in hospitals. Right. Well, you know these

1640
01:32:47,400 --> 01:32:51,679
Speaker 1: ships are hospital ships. They're manned by civilian mariners, although

1641
01:32:51,720 --> 01:32:55,320
Speaker 1: they'll have nay, they'll have Navy doctors and nurses on board.

1642
01:32:55,680 --> 01:32:59,800
Speaker 1: And both ships are not um we'd say active to

1643
01:33:00,120 --> 01:33:03,720
Speaker 1: they're kept on a reduced operational status in case of

1644
01:33:03,720 --> 01:33:06,120
Speaker 1: a crisis like this one. So they have skeleton crews

1645
01:33:06,200 --> 01:33:09,080
Speaker 1: only to do essential maintenance and they sit around waiting

1646
01:33:09,080 --> 01:33:11,360
Speaker 1: for a crisis. And they have responded to a lot

1647
01:33:11,360 --> 01:33:14,400
Speaker 1: of crisises in the past. They were sent The Mercy

1648
01:33:14,479 --> 01:33:18,360
Speaker 1: was sent to the Philippines to deal with some disasters there,

1649
01:33:18,479 --> 01:33:21,040
Speaker 1: and the Comfort has been to Africa several times. And

1650
01:33:21,160 --> 01:33:23,559
Speaker 1: you talked about nine to eleven. So these ships have

1651
01:33:23,720 --> 01:33:26,920
Speaker 1: really proven their worth and in the foresight of the

1652
01:33:26,960 --> 01:33:30,640
Speaker 1: Reagan administration, you know, more than twenty five years ago. No,

1653
01:33:30,760 --> 01:33:33,160
Speaker 1: it's actually amazing, and I guess it was a great

1654
01:33:33,160 --> 01:33:35,679
Speaker 1: honor for you to be able to serve on something

1655
01:33:35,680 --> 01:33:38,160
Speaker 1: like that. You know, one of the things you see

1656
01:33:38,400 --> 01:33:41,240
Speaker 1: the best of times, worst of times. You see industry

1657
01:33:41,280 --> 01:33:44,559
Speaker 1: now this public private partnership. I mean every big company.

1658
01:33:45,479 --> 01:33:49,599
Speaker 1: That's why when people demonize Walmart and the pharmaceutical industry,

1659
01:33:49,720 --> 01:33:53,920
Speaker 1: broad sweeping generalizations. Yeah, I think we can can say hey,

1660
01:33:53,920 --> 01:33:57,799
Speaker 1: thanks guys the auto industry. You know what, Hey, gm Ford,

1661
01:33:57,800 --> 01:34:01,080
Speaker 1: all these guys they're gonna they're gonna make ventilators for

1662
01:34:01,360 --> 01:34:03,679
Speaker 1: if we did us and the guys like you, Scott

1663
01:34:03,720 --> 01:34:05,559
Speaker 1: are amazing. Also, I want to say thank you for

1664
01:34:05,600 --> 01:34:08,600
Speaker 1: all you do. Thank you. The what's interesting is that

1665
01:34:08,800 --> 01:34:13,439
Speaker 1: Max Booge, you know, our favorite miscreant defector from the

1666
01:34:13,479 --> 01:34:17,360
Speaker 1: Republican Party, has been really critical of this administration because

1667
01:34:17,360 --> 01:34:22,960
Speaker 1: of the supposed lack of readiness of the hospital ships

1668
01:34:22,640 --> 01:34:27,280
Speaker 1: another example. That's another example of the Democrats using a

1669
01:34:27,400 --> 01:34:32,479
Speaker 1: crisis to further their aims. And in fact what you

1670
01:34:32,560 --> 01:34:35,400
Speaker 1: really saw was a lot of naval vessels as well

1671
01:34:35,400 --> 01:34:38,160
Speaker 1: as a lot of Air Force aircraft have seen shortfalls

1672
01:34:38,160 --> 01:34:40,800
Speaker 1: and maintenance. But it was really due to the to

1673
01:34:40,880 --> 01:34:46,640
Speaker 1: the previous administrations of both Bush and Obama, because if

1674
01:34:46,640 --> 01:34:49,360
Speaker 1: the emphasis on the wars in Afghanistan, a lot of

1675
01:34:49,520 --> 01:34:53,280
Speaker 1: essential maintenance for the military was deferred. So these ships

1676
01:34:53,280 --> 01:34:56,080
Speaker 1: are not exactly ready, but they're working as fast as

1677
01:34:56,160 --> 01:34:59,240
Speaker 1: possible and it'll probably be in New York City if requested,

1678
01:34:59,280 --> 01:35:02,360
Speaker 1: and probably about too weeks. All right, Thanks for the update, Scott,

1679
01:35:02,360 --> 01:35:05,519
Speaker 1: Ellen eight hundred ninety four one, Sean Tolfree telephone number.

1680
01:35:05,520 --> 01:35:06,760
Speaker 1: You want to be a part of the program. All right,

1681
01:35:06,800 --> 01:35:09,719
Speaker 1: let's get to a lot of calls here, Mike and Tennessee.

1682
01:35:09,840 --> 01:35:13,160
Speaker 1: Real quick calls will speed through them at the speed

1683
01:35:13,160 --> 01:35:16,639
Speaker 1: of life. How are you glad you called sir? Hey, Sean,

1684
01:35:17,560 --> 01:35:20,000
Speaker 1: just real quick. So I'm a Chuck Driver twenty two

1685
01:35:20,040 --> 01:35:23,200
Speaker 1: years retired military. Just wanted to say, in reference to

1686
01:35:23,240 --> 01:35:26,400
Speaker 1: the media, my father worked for one of the major

1687
01:35:26,439 --> 01:35:29,439
Speaker 1: news networks for over forty years, and he told me

1688
01:35:29,439 --> 01:35:31,640
Speaker 1: a long time ago, the news is a business. But

1689
01:35:31,680 --> 01:35:35,479
Speaker 1: here's my biggest thing. I am absolutely furious with the

1690
01:35:35,560 --> 01:35:40,120
Speaker 1: media from this standpoint. They owe the American people a

1691
01:35:40,320 --> 01:35:43,919
Speaker 1: huge apology. As far as I'm concerned. They are failing

1692
01:35:44,000 --> 01:35:48,640
Speaker 1: in their professional, ethical and moral duties right now as Americans.

1693
01:35:48,720 --> 01:35:50,719
Speaker 1: First off, but the second, if they're going to claim

1694
01:35:50,720 --> 01:35:53,400
Speaker 1: to be a journalist and be the guardians of our constitution,

1695
01:35:53,800 --> 01:35:56,800
Speaker 1: then they need to be supporting the president with everything,

1696
01:35:56,920 --> 01:36:01,200
Speaker 1: doing nothing but getting facts out perfectly real quick. YEA.

1697
01:36:01,240 --> 01:36:02,599
Speaker 1: By the way, I want to say two things number

1698
01:36:02,600 --> 01:36:04,719
Speaker 1: when you're a trucker. I actually tweeted this out today

1699
01:36:04,760 --> 01:36:07,519
Speaker 1: because we other trucker called the show earlier in the

1700
01:36:07,520 --> 01:36:11,040
Speaker 1: week and he said, Hey, they're closing down the truck

1701
01:36:11,080 --> 01:36:14,559
Speaker 1: stops and we can't even we can't even buy food.

1702
01:36:14,600 --> 01:36:16,280
Speaker 1: He's and I said, well, what about drive up like

1703
01:36:16,360 --> 01:36:18,360
Speaker 1: McDonald's and stuff. If they have an area to park,

1704
01:36:18,400 --> 01:36:20,720
Speaker 1: he said, then I'm leaving them open. I'm like, hold

1705
01:36:20,760 --> 01:36:23,839
Speaker 1: on a second, I tweeted out today, You guys, truckers

1706
01:36:23,840 --> 01:36:26,519
Speaker 1: are our lifeline. Everything we're gonna eat is going to

1707
01:36:26,600 --> 01:36:28,720
Speaker 1: come from you. All our medicines are going to come

1708
01:36:28,760 --> 01:36:31,240
Speaker 1: through you do. You're the lifeline to the economy in

1709
01:36:31,720 --> 01:36:34,080
Speaker 1: first response, to be honest, So we got to keep

1710
01:36:34,120 --> 01:36:37,559
Speaker 1: the roads clear and the rest stops open and make

1711
01:36:37,600 --> 01:36:40,080
Speaker 1: sure that you guys were able to at least order

1712
01:36:40,160 --> 01:36:43,479
Speaker 1: ahead to whatever truck stop you usually use and have

1713
01:36:43,560 --> 01:36:45,200
Speaker 1: food waiting for you if you want to pick it up.

1714
01:36:45,680 --> 01:36:48,400
Speaker 1: Um that a lot of restaurants now are literally having

1715
01:36:48,479 --> 01:36:51,719
Speaker 1: drop off service. You want, drive up, you buy your food,

1716
01:36:51,760 --> 01:36:56,320
Speaker 1: you get out. Um so that that's crue. That is

1717
01:36:56,360 --> 01:36:59,400
Speaker 1: actually happening. I can tell you that I talked to

1718
01:36:59,400 --> 01:37:03,320
Speaker 1: another truck of f random on today Pennsylvania, which actually

1719
01:37:03,479 --> 01:37:06,960
Speaker 1: did close all the rest areas. They are saying they

1720
01:37:07,000 --> 01:37:09,240
Speaker 1: are going to open them back up again, thanks them

1721
01:37:10,040 --> 01:37:14,720
Speaker 1: in part to you know, factual reporting again coming back

1722
01:37:14,760 --> 01:37:17,280
Speaker 1: and saying exactly what I was just talking about. People

1723
01:37:17,320 --> 01:37:19,680
Speaker 1: need to hear facts as to what's going on, not

1724
01:37:19,840 --> 01:37:23,479
Speaker 1: personal opinions, not personal bias right now, because the reason

1725
01:37:23,520 --> 01:37:26,760
Speaker 1: why there is so much fear in this country is

1726
01:37:26,800 --> 01:37:31,240
Speaker 1: because of the lack of factual communication and the key people.

1727
01:37:31,520 --> 01:37:34,720
Speaker 1: The way the founder set it up is I'm understanding it. Okay,

1728
01:37:34,880 --> 01:37:37,719
Speaker 1: that's what the reason why the First Amendment says freedom

1729
01:37:37,800 --> 01:37:41,080
Speaker 1: of the press. They were looking for the press to

1730
01:37:41,240 --> 01:37:44,400
Speaker 1: be the people to say, hey, this is what's going on,

1731
01:37:44,760 --> 01:37:49,120
Speaker 1: and then let the people decide. Okay, Yeah, I gotta

1732
01:37:49,120 --> 01:37:50,640
Speaker 1: get some other calls in here, but let me say

1733
01:37:50,720 --> 01:37:53,000
Speaker 1: thanks for all you do and I appreciate it, and yeah,

1734
01:37:53,400 --> 01:37:57,439
Speaker 1: it's like I literally, if it wasn't such an important time,

1735
01:37:57,479 --> 01:37:59,800
Speaker 1: I'd be unloading on the why is it telling about?

1736
01:38:00,320 --> 01:38:02,439
Speaker 1: But now they know the truth, and I'm putting them

1737
01:38:02,439 --> 01:38:04,320
Speaker 1: on notice, all of them, because I'm not going to

1738
01:38:04,360 --> 01:38:06,479
Speaker 1: take this really am not but I have to focus

1739
01:38:06,479 --> 01:38:09,679
Speaker 1: on what's important prioritize here. It's not about me, It's

1740
01:38:09,720 --> 01:38:13,160
Speaker 1: about the country. Shay is in Georgia. Shay, how are

1741
01:38:13,160 --> 01:38:15,760
Speaker 1: you glad you called Hope? Things well down there, I'm

1742
01:38:15,800 --> 01:38:19,519
Speaker 1: doing great things. Hey, it's funny because I'm listening to

1743
01:38:19,560 --> 01:38:21,720
Speaker 1: this guy talk to you, and I know you don't

1744
01:38:21,760 --> 01:38:24,080
Speaker 1: promote panic. I know you're not that kind of guy.

1745
01:38:24,360 --> 01:38:27,400
Speaker 1: And I'm just calling you because I live in a

1746
01:38:27,439 --> 01:38:31,559
Speaker 1: small town in North Georgia, and we started out with

1747
01:38:31,600 --> 01:38:33,800
Speaker 1: a couple of cases that they were pretty sure came

1748
01:38:33,840 --> 01:38:37,000
Speaker 1: from a really big church in our small town. And

1749
01:38:37,840 --> 01:38:42,479
Speaker 1: since then they went from two to nine to nineteen two.

1750
01:38:42,520 --> 01:38:45,080
Speaker 1: Now today, I think yesterday with twenty six and now

1751
01:38:45,120 --> 01:38:48,479
Speaker 1: I think we have forty. Well, I went to town

1752
01:38:48,560 --> 01:38:53,880
Speaker 1: yesterday driving around, and I was floored, floored at the

1753
01:38:53,920 --> 01:38:56,560
Speaker 1: people that I see out eating at the restaurants. That

1754
01:38:56,760 --> 01:38:59,600
Speaker 1: gym any tumpet, well, there's a gym here. It was

1755
01:39:00,760 --> 01:39:04,320
Speaker 1: the two major coffee chains. Their places were packed. These

1756
01:39:04,360 --> 01:39:07,559
Speaker 1: people are not taking it serious. And we are a

1757
01:39:08,640 --> 01:39:12,360
Speaker 1: We're an outbreak little town because we have two exits.

1758
01:39:12,479 --> 01:39:17,120
Speaker 1: All of our businesses are on two exits, and so

1759
01:39:17,160 --> 01:39:20,360
Speaker 1: I mean everybody goes to the same places. Well, my husband, yeah,

1760
01:39:20,400 --> 01:39:22,360
Speaker 1: he went to the steakhouse last night and got take

1761
01:39:22,360 --> 01:39:24,920
Speaker 1: out because we loved those people. But you know they

1762
01:39:25,200 --> 01:39:27,599
Speaker 1: they told us, because they know us so well, that

1763
01:39:27,640 --> 01:39:30,720
Speaker 1: they had people on quarantine at home that had been exposed.

1764
01:39:31,280 --> 01:39:33,200
Speaker 1: And this is let me, let me slow you down

1765
01:39:33,240 --> 01:39:37,439
Speaker 1: a little bit. Look, there's never gonna be a fully

1766
01:39:37,439 --> 01:39:39,640
Speaker 1: cooperative group of people where a lot of people, but

1767
01:39:39,680 --> 01:39:42,320
Speaker 1: I will tell you the vast overwhelming majority of Americans

1768
01:39:42,360 --> 01:39:45,160
Speaker 1: get it. You know, these these dopey kids down in

1769
01:39:45,280 --> 01:39:48,479
Speaker 1: spring Break, the no no, no minutes only spring Breaker,

1770
01:39:48,600 --> 01:39:52,759
Speaker 1: you know, koomboo. You know. Look, you're gonna have those people,

1771
01:39:52,800 --> 01:39:55,960
Speaker 1: but that's been put to rest. Um, do what you

1772
01:39:56,000 --> 01:39:58,920
Speaker 1: can do for yourself. One thing that I will say

1773
01:39:58,960 --> 01:40:01,479
Speaker 1: to anybody, and it's that's how I approach my own life,

1774
01:40:01,760 --> 01:40:05,519
Speaker 1: is that I don't panic. I like when when everything

1775
01:40:05,600 --> 01:40:08,559
Speaker 1: starts to spin, I tend to go in. And by

1776
01:40:08,600 --> 01:40:10,680
Speaker 1: going in, I mean I try to get still. I

1777
01:40:10,800 --> 01:40:13,840
Speaker 1: try to think through things strategically and strategically. What the

1778
01:40:13,840 --> 01:40:16,519
Speaker 1: President and what is task Force are recommending are these

1779
01:40:16,560 --> 01:40:20,000
Speaker 1: are good plans in place. What they're discovering in terms

1780
01:40:20,040 --> 01:40:27,240
Speaker 1: of convalescent plasma, chloroquin uh rem dissevere and other things

1781
01:40:27,400 --> 01:40:32,280
Speaker 1: are very very promising, very promising. H Yeah, there's a

1782
01:40:32,320 --> 01:40:35,240
Speaker 1: lot of news out there that's not good on the economy, especially.

1783
01:40:35,280 --> 01:40:37,439
Speaker 1: We are going to have a lot of work to do,

1784
01:40:37,920 --> 01:40:40,760
Speaker 1: and we've got to help all these businesses that are

1785
01:40:40,760 --> 01:40:43,800
Speaker 1: now suffering, and we will. You know, we rebuilt Europe,

1786
01:40:43,800 --> 01:40:46,120
Speaker 1: We're gon we're gonna help every American. The one good

1787
01:40:46,160 --> 01:40:48,880
Speaker 1: thing of news I could say is, Okay, Congress is

1788
01:40:48,920 --> 01:40:52,880
Speaker 1: now doing the right thing. And Congress now is they're

1789
01:40:52,880 --> 01:40:54,680
Speaker 1: going from one bill to the next bill to the

1790
01:40:54,720 --> 01:40:58,960
Speaker 1: next bill. And nobody saw this coming. Everyone's adapting. This

1791
01:40:59,080 --> 01:41:02,280
Speaker 1: is new. And you know that's why I'm not spending

1792
01:41:02,280 --> 01:41:04,479
Speaker 1: a lot of time on this program to settle scores,

1793
01:41:04,520 --> 01:41:06,680
Speaker 1: which I really would like to. But it's not. It's

1794
01:41:06,720 --> 01:41:08,760
Speaker 1: not about me. It's about let's get the information to

1795
01:41:08,760 --> 01:41:11,880
Speaker 1: the American people. Let's get this behind us. Let's learn

1796
01:41:11,920 --> 01:41:15,519
Speaker 1: the lessons we can learn new paradigms of change. Travel

1797
01:41:15,600 --> 01:41:18,080
Speaker 1: bands will be the norm, drive up testing will be

1798
01:41:18,240 --> 01:41:22,320
Speaker 1: the norm. U medical face timing with your doctor will

1799
01:41:22,320 --> 01:41:26,280
Speaker 1: be the norm. Public private partnerships will be the norm.

1800
01:41:26,479 --> 01:41:29,000
Speaker 1: That this is now all being created as we go

1801
01:41:29,080 --> 01:41:32,280
Speaker 1: on the fly. And but that shows how great this

1802
01:41:32,360 --> 01:41:36,360
Speaker 1: country is watching big companies step up the way they're

1803
01:41:36,400 --> 01:41:40,480
Speaker 1: stepping up it's inspiring to me. Well, you know the automakers,

1804
01:41:40,520 --> 01:41:44,840
Speaker 1: the grocery chains, the you know all these you know,

1805
01:41:45,320 --> 01:41:50,439
Speaker 1: lab Quest, lab Corps, Walmarts, CBS, Pharmacy, They're all coming

1806
01:41:50,479 --> 01:41:54,400
Speaker 1: together and we are now creating a better America as

1807
01:41:54,400 --> 01:41:57,400
Speaker 1: a result of it. Now, for you, you can't control

1808
01:41:57,439 --> 01:42:01,240
Speaker 1: everybody else in life. I can't control the media lying. Okay,

1809
01:42:01,280 --> 01:42:03,559
Speaker 1: I accept it as part of my life. But the

1810
01:42:03,640 --> 01:42:06,839
Speaker 1: reality is, do everything you can do to protect your family.

1811
01:42:06,880 --> 01:42:10,719
Speaker 1: Pay attention for me. I'm paying very close attention health

1812
01:42:10,840 --> 01:42:15,479
Speaker 1: wise to Chlora Quinn and Zythromax. As I get the

1813
01:42:15,520 --> 01:42:19,120
Speaker 1: information that I think is interesting and as grabs my attention,

1814
01:42:19,120 --> 01:42:22,280
Speaker 1: I'm passing it right onto you, my audience, because I

1815
01:42:22,280 --> 01:42:24,880
Speaker 1: love my audience, and there is nothing that I won't

1816
01:42:24,880 --> 01:42:27,880
Speaker 1: hear that I won't share. These people that are involved

1817
01:42:27,920 --> 01:42:30,519
Speaker 1: in Insiders, you know, that took inside information and started

1818
01:42:30,520 --> 01:42:33,160
Speaker 1: selling off their stocks, and I want it discussed me.

1819
01:42:33,520 --> 01:42:36,000
Speaker 1: I don't care if you're a Republican a Democrat, but

1820
01:42:36,200 --> 01:42:37,639
Speaker 1: you know what, I don't even have that much time

1821
01:42:37,680 --> 01:42:42,439
Speaker 1: to criticize them today. So my advice is just we

1822
01:42:42,520 --> 01:42:45,400
Speaker 1: are you know, these are not words I've been saying

1823
01:42:45,439 --> 01:42:48,000
Speaker 1: this the land of the free, in the home of

1824
01:42:48,000 --> 01:42:50,840
Speaker 1: the brave. This is a moment where we're free, and

1825
01:42:50,960 --> 01:42:55,479
Speaker 1: freedom will find the answers. We're brave, we're stoic. I

1826
01:42:55,680 --> 01:42:58,040
Speaker 1: all I have to do is look at the lives

1827
01:42:58,040 --> 01:43:01,320
Speaker 1: of my grandparents that aim to this country with nothing.

1828
01:43:02,000 --> 01:43:05,759
Speaker 1: Both my parents that grew up dirt poor. My father

1829
01:43:05,920 --> 01:43:11,560
Speaker 1: poor bed sties, his mother, my grandmother, died his complications

1830
01:43:11,560 --> 01:43:14,320
Speaker 1: from his childbirth. He was He was shuffled from home

1831
01:43:14,360 --> 01:43:16,479
Speaker 1: to home to home most of his life. Then he

1832
01:43:16,520 --> 01:43:19,040
Speaker 1: fought in World War Two and it was a big

1833
01:43:19,080 --> 01:43:20,720
Speaker 1: deal to get a fifty by one hundred lot to

1834
01:43:20,760 --> 01:43:24,599
Speaker 1: raise his kids. And we've gotten through depressions, We've gotten

1835
01:43:24,600 --> 01:43:27,439
Speaker 1: through world wars. We had to save the world from

1836
01:43:27,520 --> 01:43:34,120
Speaker 1: evil numerous times. We read both Europe fascism, Nazism, communism,

1837
01:43:34,240 --> 01:43:39,840
Speaker 1: you know, imperial Japan, not radical Islamism. Where the United

1838
01:43:39,880 --> 01:43:45,480
Speaker 1: States the best medical people in the world, the best researchers,

1839
01:43:45,479 --> 01:43:50,360
Speaker 1: the best doctors, the best scientists, the quick the speed

1840
01:43:50,400 --> 01:43:54,439
Speaker 1: at which they are acting blows me away that they've

1841
01:43:54,439 --> 01:43:57,240
Speaker 1: been able to sequence this what used to take years

1842
01:43:57,880 --> 01:44:02,599
Speaker 1: for a virus, we now have first trial testing going

1843
01:44:02,640 --> 01:44:07,840
Speaker 1: on now. It's amazing, so Um, look, I know things

1844
01:44:08,000 --> 01:44:10,800
Speaker 1: are frightening to people, but I'm just saying to this

1845
01:44:10,880 --> 01:44:16,120
Speaker 1: audience that you have an ability to make good decisions

1846
01:44:16,200 --> 01:44:20,439
Speaker 1: for yourself, make those decisions for those Americans that really

1847
01:44:20,520 --> 01:44:22,400
Speaker 1: are going to need our help. We've got to make

1848
01:44:22,439 --> 01:44:24,800
Speaker 1: sure these people in Washington we will hold them accountable

1849
01:44:25,000 --> 01:44:27,679
Speaker 1: because that money needs to go to workers, that money

1850
01:44:27,720 --> 01:44:29,680
Speaker 1: needs to go to small business, that money needs to

1851
01:44:29,720 --> 01:44:32,320
Speaker 1: go to industry. I'm a I'm a conservative. I don't

1852
01:44:32,320 --> 01:44:35,040
Speaker 1: believe in waste of money. Every dollar I want past

1853
01:44:35,080 --> 01:44:39,000
Speaker 1: and going directly to people as expeditiously, meaning like in

1854
01:44:39,040 --> 01:44:41,800
Speaker 1: the next two weeks for sure, as possible. And it's

1855
01:44:41,800 --> 01:44:44,240
Speaker 1: getting done, and there'll be a series of bills as

1856
01:44:44,280 --> 01:44:46,479
Speaker 1: we you know, we're gonna we're gonna find holes in

1857
01:44:46,640 --> 01:44:50,000
Speaker 1: legislation that that doesn't cover everybody, but then we have

1858
01:44:50,040 --> 01:44:52,880
Speaker 1: the ability to fix that, cover up that hole, deal

1859
01:44:52,960 --> 01:44:56,280
Speaker 1: with this new problem. So and we're gonna have more

1860
01:44:56,320 --> 01:44:59,719
Speaker 1: medical advancement too, and I look forward to that. So

1861
01:44:59,800 --> 01:45:02,639
Speaker 1: I no one gets scary. Look, it's all new. We've

1862
01:45:02,680 --> 01:45:06,519
Speaker 1: never done a lot of this before. It's new to everybody,

1863
01:45:06,560 --> 01:45:09,519
Speaker 1: and I just think that if everybody just listens very

1864
01:45:09,560 --> 01:45:13,320
Speaker 1: closely to the fundamentals and the basics, and you take

1865
01:45:13,360 --> 01:45:17,160
Speaker 1: care of your family, and government will do their job

1866
01:45:17,200 --> 01:45:19,200
Speaker 1: because we're gonna make sure they get this right. For

1867
01:45:19,240 --> 01:45:22,040
Speaker 1: those that need our help, we'll spend the money and

1868
01:45:22,120 --> 01:45:25,040
Speaker 1: we'll recover eventually. It's gonna take time, but we will

1869
01:45:25,080 --> 01:45:27,400
Speaker 1: do it. But let's give a lot of credit where

1870
01:45:27,439 --> 01:45:29,360
Speaker 1: credit is due. I've seen a lot of good out here,

1871
01:45:29,640 --> 01:45:32,360
Speaker 1: and I'm really proud of a lot of Americans and

1872
01:45:32,439 --> 01:45:34,280
Speaker 1: what they have done in all this. They've been amazing.

1873
01:45:34,360 --> 01:45:39,760
Speaker 1: They deserve credit. Anyway, anything I know on this program

1874
01:45:38,880 --> 01:45:42,040
Speaker 1: that I find interesting in any capacity, I'm going to

1875
01:45:42,080 --> 01:45:44,479
Speaker 1: pass on to you. That includes those that needs help.

1876
01:45:44,600 --> 01:45:46,559
Speaker 1: Once we get the information, how you get the help,

1877
01:45:46,600 --> 01:45:48,439
Speaker 1: We're gonna pass it on. All right. That's gonna wrap

1878
01:45:48,479 --> 01:45:51,639
Speaker 1: things up with today, full handedy tonight, full coverage of

1879
01:45:51,680 --> 01:45:55,960
Speaker 1: the latest on the coronavirus, the advice of the President's

1880
01:45:56,000 --> 01:45:59,479
Speaker 1: task Force, is it being followed, the long term economic impact.

1881
01:46:00,200 --> 01:46:03,120
Speaker 1: We'll check in with Larry Cudlow. China does not get

1882
01:46:03,160 --> 01:46:06,600
Speaker 1: off the hook here, It's despicable. We'll have the latest medically,

1883
01:46:07,040 --> 01:46:09,400
Speaker 1: and we will have the very latest in terms of

1884
01:46:09,439 --> 01:46:12,000
Speaker 1: medicine and all you need to know nine Eastern Hannity

1885
01:46:12,040 --> 01:46:15,080
Speaker 1: Fox will see you then, have a great weekend. We

1886
01:46:15,120 --> 01:46:17,200
Speaker 1: will get through this tonight at nine. We'll see you

1887
01:46:17,280 --> 01:46:27,720
Speaker 1: then back here on Monday,