1 00:00:00,040 --> 00:00:02,800 Speaker 1: Happy Monday. Thanks to all of you for being with us. 2 00:00:02,800 --> 00:00:05,080 Speaker 1: Our toll free numbers eight hundred and ninety four one. 3 00:00:05,120 --> 00:00:07,440 Speaker 1: Sean you want to be a part of the program. Well, 4 00:00:07,480 --> 00:00:10,560 Speaker 1: I spent a better part of more time than I 5 00:00:10,560 --> 00:00:12,920 Speaker 1: would have liked, but gladly spent because there are people 6 00:00:12,960 --> 00:00:18,960 Speaker 1: that I care about dealing with issues involving COVID nineteen 7 00:00:20,160 --> 00:00:25,000 Speaker 1: and just there's people that I know contracting the virus 8 00:00:25,040 --> 00:00:27,520 Speaker 1: appears like the delta variant, you don't always get an answer. 9 00:00:27,520 --> 00:00:29,200 Speaker 1: We had a caller last week that brought up this 10 00:00:29,280 --> 00:00:32,559 Speaker 1: point that if you're unvaccinated and asked what the variant is, 11 00:00:32,600 --> 00:00:34,559 Speaker 1: they said, well, we don't even bother testing for it 12 00:00:34,600 --> 00:00:38,800 Speaker 1: because you're unvaccinated, which doesn't exactly seem right or fair 13 00:00:38,880 --> 00:00:41,199 Speaker 1: to me. But you know, we'll get to all of that, 14 00:00:42,960 --> 00:00:46,680 Speaker 1: and and we're going to focus on something very different 15 00:00:46,680 --> 00:00:50,560 Speaker 1: today when we have doctor George Farid Harvard Medical School. 16 00:00:51,040 --> 00:00:54,120 Speaker 1: He and doctor Brian Tyson have worked hand in hand. 17 00:00:54,160 --> 00:00:57,000 Speaker 1: They've been on the front line, unlike doctor Fauci, spent 18 00:00:57,080 --> 00:00:59,080 Speaker 1: most of the time in front of a TV camera 19 00:01:00,040 --> 00:01:04,560 Speaker 1: all throughout COVID and hiding. You know, these these alarming 20 00:01:04,760 --> 00:01:08,520 Speaker 1: emails that he knew that the genome of the coronavirus 21 00:01:08,600 --> 00:01:12,080 Speaker 1: likely looked manipulated on January thirty first to twenty twenty, 22 00:01:12,160 --> 00:01:15,280 Speaker 1: and then was worried about niage. Money is going to 23 00:01:15,440 --> 00:01:20,200 Speaker 1: the Wuhan virology lab and you know, oh, and you 24 00:01:20,640 --> 00:01:22,640 Speaker 1: could see he was getting very nervous at the time. 25 00:01:22,640 --> 00:01:25,160 Speaker 1: At least my interpretation of those emails is pretty clear. 26 00:01:26,160 --> 00:01:28,240 Speaker 1: You know, he was the guy in March of twenty twenty. 27 00:01:28,240 --> 00:01:31,600 Speaker 1: No masks. Oh, mask don't work. One mask, two mask. 28 00:01:32,560 --> 00:01:35,039 Speaker 1: If you get vaccinated, no masks. Now, if you're vaccinated, 29 00:01:35,040 --> 00:01:37,840 Speaker 1: you get a mask. I mean, people have had it 30 00:01:37,880 --> 00:01:42,399 Speaker 1: with these shifting guidelines and conflicting messages, you know, and 31 00:01:42,440 --> 00:01:44,800 Speaker 1: then people look at wide open borders. You know, you 32 00:01:44,840 --> 00:01:48,000 Speaker 1: want to talk about a massive superspreader event. Joe Biden's 33 00:01:48,080 --> 00:01:51,600 Speaker 1: cages with kids and open border processing with no testing 34 00:01:52,240 --> 00:01:57,160 Speaker 1: is just unforgivable to me. And now masks are back, 35 00:01:57,280 --> 00:02:01,040 Speaker 1: thoughts and discussions about possible luck downs coming back and 36 00:02:01,200 --> 00:02:05,680 Speaker 1: states going insane and putting masks on kids in school. Florida, 37 00:02:05,720 --> 00:02:08,400 Speaker 1: now it's been a full year. Last August, their kids 38 00:02:08,400 --> 00:02:11,120 Speaker 1: went back to school one year ago and they didn't 39 00:02:11,120 --> 00:02:14,079 Speaker 1: have masks for the entire year they did. Fine. Now, 40 00:02:14,160 --> 00:02:16,360 Speaker 1: yeah they're gonna be hot spots. Yeah, there are always 41 00:02:16,360 --> 00:02:19,519 Speaker 1: a little these little pockets, hot spots that show up, etc. 42 00:02:20,320 --> 00:02:22,320 Speaker 1: You're told, if you get the vaccine, you won't need 43 00:02:22,360 --> 00:02:25,160 Speaker 1: a mask. Now you got vaccinated, Now you need the 44 00:02:25,200 --> 00:02:29,760 Speaker 1: mask again. It's it's beyond frustrating. And then having wide 45 00:02:29,760 --> 00:02:32,840 Speaker 1: open borders and no testing, and then building cages and 46 00:02:33,200 --> 00:02:36,040 Speaker 1: overcrowding them with kids basically on top of each other 47 00:02:36,520 --> 00:02:39,400 Speaker 1: in the middle of a pandemic, and then basically saying here, 48 00:02:39,480 --> 00:02:42,639 Speaker 1: free transportation to any of these you know, forty eight 49 00:02:42,639 --> 00:02:46,120 Speaker 1: states continental United States. People have a right to be 50 00:02:47,080 --> 00:02:49,880 Speaker 1: and anyway, so we got a lot to get to today, 51 00:02:49,919 --> 00:02:55,760 Speaker 1: mandatory vaccination, shifting guidelines, masks are back. Frustration. But my 52 00:02:55,919 --> 00:03:00,960 Speaker 1: weekend was so one of my best friends full vaccinated, 53 00:03:02,040 --> 00:03:06,679 Speaker 1: contracted COVID. Now I gain I want to be very 54 00:03:06,720 --> 00:03:10,760 Speaker 1: fair in my coverage here because the Biden communications team 55 00:03:10,880 --> 00:03:14,560 Speaker 1: is angry. They've reached out to news outlets over their 56 00:03:14,960 --> 00:03:19,640 Speaker 1: irresponsible Delta coverage meaning the Delta variant, and it's being 57 00:03:19,680 --> 00:03:24,239 Speaker 1: done for ratings. WHOA, that's a pretty heavy accusation. You're 58 00:03:24,240 --> 00:03:28,120 Speaker 1: only telling people about breakthrough. We call the breakthrough cases. 59 00:03:28,160 --> 00:03:32,440 Speaker 1: It has a name if you're fully vaccinated, and you know, 60 00:03:32,520 --> 00:03:36,320 Speaker 1: for example, NBC breakthrough COVID cases are on the rise 61 00:03:36,560 --> 00:03:40,640 Speaker 1: among the vaccinated. That was a headline from NBC News. 62 00:03:41,120 --> 00:03:45,160 Speaker 1: It's not wrong. They are on the rise. And whether 63 00:03:45,160 --> 00:03:48,080 Speaker 1: you like the news or don't like the news, you 64 00:03:48,120 --> 00:03:50,200 Speaker 1: know they even reported that at least one hundred and 65 00:03:50,240 --> 00:03:55,880 Speaker 1: twenty five thousand fully vaccinated Americans tested positive for COVID nineteen. Now, 66 00:03:56,040 --> 00:03:58,280 Speaker 1: I will give you the number of the estimated number 67 00:03:58,280 --> 00:04:01,600 Speaker 1: of I guess no number of fully vaccinated people is. 68 00:04:02,160 --> 00:04:03,440 Speaker 1: I think it's about why. I think we're at one 69 00:04:03,520 --> 00:04:05,800 Speaker 1: hundred and sixty one million overall. I'm not sure if 70 00:04:05,840 --> 00:04:09,600 Speaker 1: that's that's one shot at least or two shots, but 71 00:04:10,240 --> 00:04:11,600 Speaker 1: so a lot of people have had it. So you're 72 00:04:11,600 --> 00:04:14,720 Speaker 1: talking about now a small percentage. Then you have this 73 00:04:14,720 --> 00:04:20,559 Speaker 1: this minor granted it's an anomaly. In Provincetown, Massachusetts, nearly 74 00:04:20,600 --> 00:04:23,760 Speaker 1: five hundred people get COVID fully seventy four percent of 75 00:04:23,800 --> 00:04:28,760 Speaker 1: the people that got COVID we're fully vaccinated. Well, my friend, 76 00:04:28,880 --> 00:04:31,360 Speaker 1: one of my friends, and you know, thank goodness, we'll 77 00:04:31,400 --> 00:04:35,280 Speaker 1: have our medical experts, doctor Fred and Brian Tyson. You know, 78 00:04:35,320 --> 00:04:40,279 Speaker 1: they believe in proactive medicine, not reactive medicine. Reactive medicine 79 00:04:40,279 --> 00:04:42,839 Speaker 1: mostly has been If you're in New York, you come 80 00:04:42,880 --> 00:04:45,520 Speaker 1: down with COVID, you test positive, you're told go home. 81 00:04:45,800 --> 00:04:49,240 Speaker 1: If you take a temperature, check your oxygen and if 82 00:04:49,279 --> 00:04:51,800 Speaker 1: you get if your temperature starts going up, use two 83 00:04:52,000 --> 00:04:55,279 Speaker 1: extra strength tile in all to reduce your temperature. And 84 00:04:55,320 --> 00:04:58,520 Speaker 1: if your oxygen drops below ninety e you might want 85 00:04:58,520 --> 00:05:00,640 Speaker 1: to go head to the emergency room. The problem is 86 00:05:00,920 --> 00:05:03,520 Speaker 1: that by the time usually and I've read so much 87 00:05:03,560 --> 00:05:06,159 Speaker 1: about it, and again I'm giving you a layman's handbook here. 88 00:05:06,760 --> 00:05:09,040 Speaker 1: I'm not a doctor. I'm not playing one on radio. 89 00:05:09,080 --> 00:05:14,359 Speaker 1: I refuse to. But usually they as early as day six, 90 00:05:14,800 --> 00:05:17,440 Speaker 1: but usually between day seven and ten is when this 91 00:05:17,640 --> 00:05:20,679 Speaker 1: can really do the damage to your lungs. That could 92 00:05:21,400 --> 00:05:25,040 Speaker 1: that could create the overreaction of your immune system, which 93 00:05:25,080 --> 00:05:29,800 Speaker 1: then could result in potential need of a ventilator. A 94 00:05:29,920 --> 00:05:33,200 Speaker 1: year ago, a year and a half ago, that the 95 00:05:33,200 --> 00:05:35,920 Speaker 1: odds of surviving it was like twelve to fifteen percent. 96 00:05:36,240 --> 00:05:38,960 Speaker 1: They've gotten a lot better with the ventilator, but your 97 00:05:39,000 --> 00:05:42,640 Speaker 1: odds are still not great. So anyway, they're mad at 98 00:05:42,680 --> 00:05:45,599 Speaker 1: the news media. I'm trying to get put it into 99 00:05:45,760 --> 00:05:50,679 Speaker 1: proper context. But my friend that got tested positive. First 100 00:05:50,720 --> 00:05:53,279 Speaker 1: two things, there's two things I learned. I didn't know 101 00:05:54,279 --> 00:05:57,200 Speaker 1: that there was a home test. Now it's not fdaprol, 102 00:05:57,560 --> 00:05:59,520 Speaker 1: but it was in this case with my friend to 103 00:05:59,600 --> 00:06:02,279 Speaker 1: turned ont to be accurate, and he first took it 104 00:06:02,279 --> 00:06:04,640 Speaker 1: as by Abbott. There's a number of versions out there. 105 00:06:06,160 --> 00:06:11,640 Speaker 1: It has you know, emergency authorization usage only, but in 106 00:06:11,680 --> 00:06:14,080 Speaker 1: his case it's only it's only got a rate of 107 00:06:14,400 --> 00:06:17,279 Speaker 1: false positives of about two percent. If you test positive 108 00:06:17,320 --> 00:06:19,440 Speaker 1: with the home test, then you would probably rightly like 109 00:06:19,520 --> 00:06:22,279 Speaker 1: he did, go to a doctor. He confirmed the positive 110 00:06:22,480 --> 00:06:26,600 Speaker 1: diagnosis and he had been fully vaccinated and beyond frustrated anyway, 111 00:06:26,680 --> 00:06:29,440 Speaker 1: our friend, doctor f Reid, within twenty four hours he 112 00:06:29,560 --> 00:06:32,919 Speaker 1: had Regeneron infused, which in New York is very hard 113 00:06:32,920 --> 00:06:35,920 Speaker 1: to get done. I didn't know until this weekend. I'm like, 114 00:06:36,240 --> 00:06:40,920 Speaker 1: this is like an Emory University hospital in Atlanta. You know, 115 00:06:40,920 --> 00:06:43,760 Speaker 1: it's standard operating procedure. If you're fifty five or older, 116 00:06:43,800 --> 00:06:50,480 Speaker 1: you're getting regennaon unless something some odd you know, condition 117 00:06:50,520 --> 00:06:52,320 Speaker 1: you might have would prevent you from having it. That's 118 00:06:52,320 --> 00:06:55,280 Speaker 1: the model colonial cocktail that they put together one of 119 00:06:55,320 --> 00:07:00,760 Speaker 1: the great therapeutics in spite of Remember the hype ventilating 120 00:07:00,839 --> 00:07:04,080 Speaker 1: media if you mentioned hydroxy chloric win. Remember the two 121 00:07:04,320 --> 00:07:08,240 Speaker 1: articles in prestigious medical journals that had to be rescinded 122 00:07:08,920 --> 00:07:12,840 Speaker 1: because they falsely reported on HCQ. But now we have 123 00:07:12,880 --> 00:07:16,560 Speaker 1: studies showing that, yeah, it's eighty four percent effective at 124 00:07:16,720 --> 00:07:21,320 Speaker 1: mitigating some of the symptoms, okay with According to doctor 125 00:07:21,400 --> 00:07:25,080 Speaker 1: Daniel Wallace, no risk to people. He's the foremost expert 126 00:07:25,160 --> 00:07:27,560 Speaker 1: on hydroxy chloric win in the country out in Cedar 127 00:07:27,560 --> 00:07:32,520 Speaker 1: Sinai in California, and that I've remected other things anyway, 128 00:07:33,040 --> 00:07:37,240 Speaker 1: so he you know, he's doing fine. I'm checking in 129 00:07:37,280 --> 00:07:43,120 Speaker 1: with him regularly. I have another friend of mine unvaccinated, 130 00:07:43,360 --> 00:07:46,920 Speaker 1: seventy four years old, not perfect health, but for his age, 131 00:07:46,960 --> 00:07:51,920 Speaker 1: pretty decent health health. And again, within twenty four hours, 132 00:07:51,920 --> 00:07:55,200 Speaker 1: he went to Emery University, his wife went to Emory University. 133 00:07:55,640 --> 00:07:59,480 Speaker 1: He got on doctor Tyson and Fred's protocol. Doctor Fred 134 00:07:59,520 --> 00:08:03,720 Speaker 1: got on them and I just talked to him earlier today. 135 00:08:03,760 --> 00:08:05,840 Speaker 1: This is now, he's on day ten. He's almost out 136 00:08:05,880 --> 00:08:09,840 Speaker 1: of the woods. He did absolutely fine. I think I 137 00:08:09,920 --> 00:08:13,640 Speaker 1: think my take is my belief is, and these doctors 138 00:08:14,080 --> 00:08:16,920 Speaker 1: are telling me this or I'm listening to them that 139 00:08:17,000 --> 00:08:20,640 Speaker 1: Regeneron is probably the most underutilized therapeutic out there. We 140 00:08:20,680 --> 00:08:24,640 Speaker 1: don't talk about the therapeutics enough. You don't talk about Okay, 141 00:08:24,680 --> 00:08:26,120 Speaker 1: if you get this, what are you gonna do? So 142 00:08:26,160 --> 00:08:28,440 Speaker 1: we're gonna have both those doctors on later in the 143 00:08:28,480 --> 00:08:31,600 Speaker 1: program to talk about it. Now. The White House caught 144 00:08:31,640 --> 00:08:34,920 Speaker 1: themselves in a mess towards the end of last week 145 00:08:34,960 --> 00:08:39,080 Speaker 1: as they had to walk back previous statements on new 146 00:08:39,160 --> 00:08:45,760 Speaker 1: possible COVID lockdowns. White House Principal Deputy Press Secretary reverse 147 00:08:45,840 --> 00:08:50,000 Speaker 1: course to say the administration is not considering lockdowns. But 148 00:08:50,080 --> 00:08:53,320 Speaker 1: that was a walkback of a statement regarding the possibility 149 00:08:53,320 --> 00:08:58,320 Speaker 1: of enforcing these lockdowns because of the delta variant. But 150 00:08:58,520 --> 00:09:01,960 Speaker 1: you know when even though the percentages of minuscule really 151 00:09:02,000 --> 00:09:04,600 Speaker 1: at this point to be very fair in terms of 152 00:09:04,840 --> 00:09:10,240 Speaker 1: vaccinated people, and also to be fair Maderna or Visor 153 00:09:10,320 --> 00:09:17,040 Speaker 1: when they had their their third stage trials, their efficacy 154 00:09:17,160 --> 00:09:21,360 Speaker 1: was I think it was ninety four respectively, and Johnson 155 00:09:21,400 --> 00:09:24,120 Speaker 1: and Johnson was lowers about the fire of call around 156 00:09:24,160 --> 00:09:28,800 Speaker 1: seventy percent. That's more of the traditional vaccine. But now 157 00:09:28,840 --> 00:09:31,559 Speaker 1: the White House is in a panic. As they said it, Biden, 158 00:09:31,600 --> 00:09:33,280 Speaker 1: you don't have to wear a mask if you come 159 00:09:33,320 --> 00:09:36,360 Speaker 1: home to Delaware with me, because now they're telling people, 160 00:09:36,760 --> 00:09:39,320 Speaker 1: if you remember, if you got vaccinated, you aren't gonna 161 00:09:39,320 --> 00:09:42,360 Speaker 1: have to wear a mask again. Okay, that didn't last 162 00:09:42,520 --> 00:09:45,199 Speaker 1: very long, but Biden is saying this, if you come 163 00:09:45,280 --> 00:09:47,560 Speaker 1: home with me to Delaware, you don't have to wear 164 00:09:47,600 --> 00:09:50,360 Speaker 1: a mask. I mean, this guy is so out too long. 165 00:09:50,400 --> 00:09:52,080 Speaker 1: I don't even think he knows what day it is. 166 00:09:52,920 --> 00:09:54,560 Speaker 1: You know, do you think people might have to wear 167 00:09:54,720 --> 00:09:57,160 Speaker 1: masks again? He was asked by a reporter. Well, in 168 00:09:57,200 --> 00:09:59,880 Speaker 1: a lot of places people don't have to wear a mask. 169 00:10:00,640 --> 00:10:03,880 Speaker 1: People where you know, people where people have gotten vaccinated, 170 00:10:03,880 --> 00:10:07,000 Speaker 1: with high vaccination rates, people do not have to wear 171 00:10:07,120 --> 00:10:10,640 Speaker 1: masks at all, said the President. Now, if they really 172 00:10:10,679 --> 00:10:13,200 Speaker 1: cared about these variants, wouldn't the first thing that you 173 00:10:13,240 --> 00:10:15,960 Speaker 1: would do be the You know, when you have hundreds 174 00:10:15,960 --> 00:10:18,760 Speaker 1: of thousands of people every month with a high rate 175 00:10:18,760 --> 00:10:24,760 Speaker 1: of positive COVID positivity coming into the country illegally and 176 00:10:24,800 --> 00:10:27,440 Speaker 1: you're not testing them, and then you're dispersing them to 177 00:10:27,559 --> 00:10:30,360 Speaker 1: forty eight states, do you think maybe if you want 178 00:10:30,360 --> 00:10:33,760 Speaker 1: to watch the variants and stop the spread that. Maybe 179 00:10:33,800 --> 00:10:35,920 Speaker 1: the first thing you do is you test the people 180 00:10:35,960 --> 00:10:40,000 Speaker 1: at the border or because all they're doing is pretty 181 00:10:40,080 --> 00:10:42,439 Speaker 1: much processing them and then giving them a ride to 182 00:10:42,440 --> 00:10:44,800 Speaker 1: one of the forty eight states and the continental US. 183 00:10:45,760 --> 00:10:49,320 Speaker 1: You know, the Washington Examiner, the headline was, sheriff's up 184 00:10:49,360 --> 00:10:53,960 Speaker 1: to fifty percent of migrants captured have COVID and they're 185 00:10:54,080 --> 00:10:57,200 Speaker 1: getting pissed and they want the border secure, they want 186 00:10:57,200 --> 00:10:59,480 Speaker 1: to be able to do their job. And Biden now 187 00:10:59,640 --> 00:11:03,000 Speaker 1: is inisting that they not follow the law of the land. 188 00:11:03,720 --> 00:11:07,040 Speaker 1: And Biden saying, in all probability there'll be more COVID 189 00:11:07,080 --> 00:11:10,560 Speaker 1: restrictions as cases rise, and then you can expect, you 190 00:11:10,600 --> 00:11:14,560 Speaker 1: know this the same you know, draconian shutdown. Democrats go 191 00:11:14,760 --> 00:11:18,080 Speaker 1: right back into that mode. But never mind, we got 192 00:11:18,120 --> 00:11:20,760 Speaker 1: a picture of Nancy Pelosi ripping off her mask for 193 00:11:20,880 --> 00:11:25,000 Speaker 1: a photo in the Capitol. So much for hypocrisy, you know, 194 00:11:25,320 --> 00:11:28,720 Speaker 1: Ted Cruz says, Nancy Pelosi has no authority to find 195 00:11:28,840 --> 00:11:30,880 Speaker 1: or put people in jail for not wearing a mask. 196 00:11:31,440 --> 00:11:33,440 Speaker 1: You know what about we're going to follow the science. 197 00:11:33,440 --> 00:11:36,920 Speaker 1: Because the Cleveland Clinic, a prestigious medical institution, said, if 198 00:11:36,920 --> 00:11:39,640 Speaker 1: you had COVID, you don't need any of the vaccines, 199 00:11:40,160 --> 00:11:42,360 Speaker 1: which is something that Ran Paul had been saying, and 200 00:11:42,440 --> 00:11:47,360 Speaker 1: he refused to get the vaccine. Gavin Newsom great hypocrite 201 00:11:47,360 --> 00:11:49,120 Speaker 1: that he is. I mean, he might take the cake 202 00:11:49,160 --> 00:11:54,760 Speaker 1: for the hypocrisy Award of all hypocrisy, you know is 203 00:11:54,840 --> 00:11:57,520 Speaker 1: Larry Elder pointed out that he's ignoring science, that he's 204 00:11:57,559 --> 00:12:03,760 Speaker 1: being hypocritical. Remember his kids were in private schools and 205 00:12:04,360 --> 00:12:06,400 Speaker 1: having in person learning while the rest of the state 206 00:12:06,480 --> 00:12:09,680 Speaker 1: was shut down. Nobody could go into restaurants, but he 207 00:12:09,800 --> 00:12:13,400 Speaker 1: was in restaurants, not socially distant and no masks on. 208 00:12:14,320 --> 00:12:16,959 Speaker 1: I mean, we got that hypocrisy all over the place. 209 00:12:17,679 --> 00:12:20,640 Speaker 1: What was it? I think was it the mayor? I 210 00:12:20,679 --> 00:12:23,240 Speaker 1: think of DC. Look, we got a lot of reports 211 00:12:23,280 --> 00:12:25,840 Speaker 1: to get to on this. We got a super spreader 212 00:12:25,880 --> 00:12:29,000 Speaker 1: event on the border. All Obama's going to host a 213 00:12:29,040 --> 00:12:34,800 Speaker 1: super spreader birthday party for himself in Matha's vineyard. Optimism 214 00:12:34,840 --> 00:12:38,120 Speaker 1: about America recovering from COVID is now in a free fall. 215 00:12:38,200 --> 00:12:42,560 Speaker 1: Biden's teachers union backers say no to a vaccine mandate 216 00:12:42,600 --> 00:12:45,079 Speaker 1: that they donate enough money that they get to write 217 00:12:45,080 --> 00:12:48,160 Speaker 1: the policy. That's who it is. It was DC mayor 218 00:12:48,240 --> 00:12:53,040 Speaker 1: Browser Bowser who broke her own brand new COVID mask mandate. 219 00:12:53,600 --> 00:12:55,960 Speaker 1: As I guess she was at a wedding over the 220 00:12:55,960 --> 00:13:00,560 Speaker 1: weekend or some event and vaccine man dates are going 221 00:13:00,640 --> 00:13:03,440 Speaker 1: to backfire. The Washington Post wrote that piece. I couldn't 222 00:13:03,480 --> 00:13:06,080 Speaker 1: believe it, because I believe it. What's happening in France 223 00:13:06,120 --> 00:13:12,600 Speaker 1: as police are clashing with anti virus passport protesters, Berlin protesters, 224 00:13:13,080 --> 00:13:18,120 Speaker 1: They're out there decrying the draconian measures in Germany and 225 00:13:18,280 --> 00:13:22,320 Speaker 1: most recovered COVID nineteen patients. You know, it was one 226 00:13:22,720 --> 00:13:26,080 Speaker 1: medical study that shows yeah, they Rampaul was right and 227 00:13:26,320 --> 00:13:30,520 Speaker 1: looks like Cleveland clinic was right also. Anyway, eight hundred 228 00:13:30,600 --> 00:13:33,320 Speaker 1: nine Shawn is our number. But we're gonna talk about 229 00:13:33,440 --> 00:13:38,040 Speaker 1: later with the our medical team about therapeutics more than say, 230 00:13:38,200 --> 00:13:41,360 Speaker 1: we've talked a lot about the vaccines. But what happens 231 00:13:41,400 --> 00:13:43,640 Speaker 1: if you still what if you get a breakthrough case, 232 00:13:43,760 --> 00:13:47,240 Speaker 1: what if you never got vaccinated one of the best 233 00:13:47,320 --> 00:13:50,080 Speaker 1: therapeutics on the market. Just information for you, for you 234 00:13:50,120 --> 00:13:59,240 Speaker 1: to make up your own mind. We are ready to 235 00:13:59,280 --> 00:14:02,360 Speaker 1: get out of them media spin room. You've come to 236 00:14:02,480 --> 00:14:09,000 Speaker 1: the right place is the Sean Hannity Show on seven 237 00:14:09,160 --> 00:14:24,040 Speaker 1: ten w o R. Apparently this just breaking two that 238 00:14:24,280 --> 00:14:29,920 Speaker 1: Senator Lindsey Grahmmuts on Fox News has tested positive for 239 00:14:30,000 --> 00:14:34,040 Speaker 1: COVID nineteen despite being vaccinated. Linda, you listening to this, 240 00:14:34,200 --> 00:14:37,360 Speaker 1: you know my friend who I'm talking about, he do, 241 00:14:37,720 --> 00:14:42,200 Speaker 1: he was fully vaccinated. Now now doctor Ferid helped friends 242 00:14:42,280 --> 00:14:45,560 Speaker 1: in Georgia. Now it was the father that got it 243 00:14:45,640 --> 00:14:48,840 Speaker 1: first at seventy four, then his wife got it, then 244 00:14:48,920 --> 00:14:51,760 Speaker 1: his son and his thirties got it. Then his daughter 245 00:14:51,840 --> 00:14:54,880 Speaker 1: now has it, and doctor Farid has has given them 246 00:14:54,920 --> 00:14:58,320 Speaker 1: all the protocol. Both he and his wife had Regeneron 247 00:14:58,400 --> 00:15:01,880 Speaker 1: in their system within twenty four hours of diagnosis. And 248 00:15:01,920 --> 00:15:03,240 Speaker 1: I'll tell you I give a lot of credit to 249 00:15:03,280 --> 00:15:08,239 Speaker 1: Emory University Hospital because they get it. The one hospital 250 00:15:08,400 --> 00:15:12,080 Speaker 1: in New York if I give out the name, everyone's 251 00:15:12,080 --> 00:15:14,240 Speaker 1: going to race there if they if they have a 252 00:15:14,240 --> 00:15:16,960 Speaker 1: breakthrough case or they get it, but they deserve credit 253 00:15:17,760 --> 00:15:22,000 Speaker 1: is Saint Francis in Long Island. And I can tell 254 00:15:22,040 --> 00:15:26,160 Speaker 1: you the shocking thing was my friends in Georgia, now 255 00:15:26,160 --> 00:15:28,880 Speaker 1: they were unvaccinated. My friend in New York was vaccinated. 256 00:15:29,320 --> 00:15:35,760 Speaker 1: Lindsey Graham was fully vaccinated. Now it's I know, the 257 00:15:35,800 --> 00:15:39,240 Speaker 1: Biden administrations lecturing the media for talking about it right now. 258 00:15:39,280 --> 00:15:44,000 Speaker 1: It's this very tiny percentage, but it's still concerning if 259 00:15:44,040 --> 00:15:48,080 Speaker 1: you're fully vaccinated, that you're still getting it, and you know, 260 00:15:48,240 --> 00:15:50,720 Speaker 1: is this now going to be the norm. Let's remember 261 00:15:50,720 --> 00:15:54,440 Speaker 1: with every variant, these viruses are fighting in their own 262 00:15:54,480 --> 00:15:58,280 Speaker 1: way to stay lethal and alive. I mean, talk to 263 00:15:58,400 --> 00:16:01,000 Speaker 1: any virologists, they'll tell you. Why do you think people 264 00:16:01,040 --> 00:16:04,920 Speaker 1: devote their entire lives to studying viruses? That's why gain 265 00:16:05,000 --> 00:16:08,880 Speaker 1: A function was so pivotal, and that's why doctor Fauci's 266 00:16:08,920 --> 00:16:13,880 Speaker 1: email showed such panic because NIH taxpayer money went to 267 00:16:13,960 --> 00:16:18,080 Speaker 1: the Wuhan virology lab, which I had. No one can 268 00:16:18,160 --> 00:16:22,440 Speaker 1: ever explain how that could ever happen satisfactorily to me. 269 00:16:27,360 --> 00:16:30,240 Speaker 1: Mister New York marks him on tomorrow from ten till 270 00:16:30,280 --> 00:16:42,640 Speaker 1: noon on seven ten wo r exposing government weighs down 271 00:16:42,760 --> 00:16:47,720 Speaker 1: abuse of your liberties every day. Sean Hannity is on 272 00:16:48,120 --> 00:16:51,360 Speaker 1: right now, twenty five to the top of the hour. 273 00:16:51,960 --> 00:16:55,240 Speaker 1: You want to know about what I just you want 274 00:16:55,240 --> 00:17:00,360 Speaker 1: to talk about just pure denial, an outright lying and 275 00:17:00,400 --> 00:17:02,720 Speaker 1: then not going to get called out on it. And 276 00:17:02,840 --> 00:17:08,120 Speaker 1: that's the Biden administration. You've got this, this incompetent DHS 277 00:17:08,119 --> 00:17:14,480 Speaker 1: Secretary Chief may Orcas. He's now insisting that the disaster 278 00:17:14,680 --> 00:17:17,520 Speaker 1: down at the border where we had the lowest rates 279 00:17:17,680 --> 00:17:22,879 Speaker 1: of illegal immigrants flowing into the country in decades, and 280 00:17:22,960 --> 00:17:28,639 Speaker 1: he's blaming Trump for Joe ending the stay in Mexico policy, 281 00:17:29,480 --> 00:17:33,080 Speaker 1: ending the Joe bringing back. It's not even catching release anymore. 282 00:17:33,080 --> 00:17:36,600 Speaker 1: It's it's process and released. You don't get caught. It's 283 00:17:36,600 --> 00:17:39,080 Speaker 1: just okay, come on in, we'll get some information and 284 00:17:39,200 --> 00:17:44,000 Speaker 1: good luck. And this is that now they're blaming Trump, 285 00:17:45,000 --> 00:17:48,439 Speaker 1: the people that stopped building the border wall, the people 286 00:17:48,480 --> 00:17:52,560 Speaker 1: that built the new cages for kids that were overcrowded 287 00:17:52,600 --> 00:17:55,679 Speaker 1: in the middle of a pandemic and tested nearly nobody 288 00:17:56,600 --> 00:17:59,800 Speaker 1: and then sent them out and transported them all around 289 00:17:59,840 --> 00:18:03,080 Speaker 1: the country, so every other state has to pick up, 290 00:18:03,400 --> 00:18:06,200 Speaker 1: you know, the cost of food and shelter and healthcare 291 00:18:06,200 --> 00:18:10,760 Speaker 1: and education. And now Mayorcas is saying today over there 292 00:18:10,760 --> 00:18:15,480 Speaker 1: at MSDNC that the surgeon migrants is Donald Trump's fault 293 00:18:16,240 --> 00:18:20,680 Speaker 1: because Donald Trump dismantled our capabilities to address it, you mean, 294 00:18:20,760 --> 00:18:25,040 Speaker 1: your capabilities to process it. That's what he's mad about 295 00:18:25,760 --> 00:18:28,200 Speaker 1: why you want to talk. Ronnie Jackson said it over 296 00:18:28,240 --> 00:18:32,520 Speaker 1: the weekend as well. Twenty five percent. Now, there's different 297 00:18:32,600 --> 00:18:35,159 Speaker 1: numbers from different people. Border Patrol said this weekend it's 298 00:18:35,200 --> 00:18:38,560 Speaker 1: as high. In some cases there's fifty percent. We've had 299 00:18:38,560 --> 00:18:43,159 Speaker 1: our investigative reporters down at the border dealing with people 300 00:18:43,200 --> 00:18:47,760 Speaker 1: that clearly have COVID. They're sick as hell, and then 301 00:18:47,960 --> 00:18:52,000 Speaker 1: you know, help basically saving lives by bringing in American 302 00:18:52,280 --> 00:18:57,199 Speaker 1: emergency first responders to help save their life. It's pretty unbelievable. 303 00:18:57,280 --> 00:18:59,760 Speaker 1: But Ronnie Jackson is now you want to talk about 304 00:18:59,760 --> 00:19:03,040 Speaker 1: this super spreader of all super spreader events, hundreds and 305 00:19:03,119 --> 00:19:06,600 Speaker 1: thousands of illegal immigrants, not testing them and then distributing 306 00:19:06,640 --> 00:19:11,320 Speaker 1: them to forty eight states in the continental US. Infection 307 00:19:11,400 --> 00:19:15,320 Speaker 1: rates is now being tested by HHS. Finally, the ones 308 00:19:15,400 --> 00:19:19,240 Speaker 1: as high as twenty five percent. That is a public 309 00:19:19,280 --> 00:19:24,480 Speaker 1: health danger. When he was asked by on Fox this weekend, 310 00:19:24,920 --> 00:19:27,680 Speaker 1: he said, this is very obvious at this point, this 311 00:19:27,800 --> 00:19:31,800 Speaker 1: is a public health danger. But don't worry, they're gonna 312 00:19:31,880 --> 00:19:34,600 Speaker 1: lecture you. I want to know about the next super 313 00:19:34,680 --> 00:19:38,200 Speaker 1: spreader event. You know, Obama has his sixtieth birthday party, 314 00:19:39,040 --> 00:19:41,600 Speaker 1: I hate birthdays. I don't know why everybody else likes birthdays. 315 00:19:41,640 --> 00:19:45,040 Speaker 1: I hate birthdays. When it comes to prominent democrats, it's 316 00:19:45,080 --> 00:19:47,720 Speaker 1: COVID restrictions for thee, but not for me. Just like 317 00:19:48,240 --> 00:19:52,240 Speaker 1: the mayor of DC, just just like Whitmer in Michigan, 318 00:19:52,320 --> 00:19:57,680 Speaker 1: just like Cuomo, just like you know everybody. Lockdowns and 319 00:19:58,040 --> 00:20:00,760 Speaker 1: mandates are for we the little people. We the little people. 320 00:20:00,760 --> 00:20:03,600 Speaker 1: It's not we the people. We the little people, but 321 00:20:03,760 --> 00:20:08,960 Speaker 1: not for them. Seven hundred person super spreader Martha's vineyard 322 00:20:08,960 --> 00:20:12,679 Speaker 1: birthday party. I wonder if flipflop POUCHI will deliver the 323 00:20:12,760 --> 00:20:18,399 Speaker 1: toast celebrating the birthday of Barack Obama. Anyway, two hundred 324 00:20:18,480 --> 00:20:23,879 Speaker 1: staff on hand? Where is this as Matha's vineyard? How great? 325 00:20:24,400 --> 00:20:27,159 Speaker 1: We are getting a lot of new information about the 326 00:20:27,240 --> 00:20:30,720 Speaker 1: cover up of all cover ups, which is that is 327 00:20:30,760 --> 00:20:34,960 Speaker 1: the Wuhan Lab report. We have representative of Michael McCall 328 00:20:35,000 --> 00:20:38,440 Speaker 1: of Texas, it's been on this show many times, has 329 00:20:38,480 --> 00:20:41,159 Speaker 1: said that it's the greatest cover up in human history. 330 00:20:41,720 --> 00:20:43,640 Speaker 1: Then he went on to give out how the Chinese 331 00:20:43,680 --> 00:20:47,000 Speaker 1: government they knew about this in September. I think they 332 00:20:47,000 --> 00:20:49,479 Speaker 1: were involved in a cover up. But it's the greatest 333 00:20:49,520 --> 00:20:53,040 Speaker 1: cover up in human history. I think the Chinese Counties 334 00:20:53,080 --> 00:20:56,639 Speaker 1: Party are very concerned about this report coming out telling 335 00:20:56,680 --> 00:21:01,440 Speaker 1: the truth. And it's already it's already been interpreted in 336 00:21:01,520 --> 00:21:04,880 Speaker 1: Demandarin you know as well. There are just so many 337 00:21:05,200 --> 00:21:09,840 Speaker 1: the points, key points of coming to the process, you know, 338 00:21:09,920 --> 00:21:13,359 Speaker 1: since that time, and then of course by decembrance and 339 00:21:13,480 --> 00:21:16,880 Speaker 1: full blown in January. Yeah, the fact of the matter 340 00:21:16,960 --> 00:21:20,800 Speaker 1: is they were playing with fire. They were genetically manipulating 341 00:21:21,680 --> 00:21:24,760 Speaker 1: at the lab, this gain of function that was taking place. 342 00:21:25,320 --> 00:21:29,200 Speaker 1: This doctor she the Bat Lady, working with Peter Dozik 343 00:21:29,920 --> 00:21:33,080 Speaker 1: to get lab samples from the caves a thousand miles 344 00:21:33,119 --> 00:21:37,600 Speaker 1: away bat samples and then genetically modify them into a 345 00:21:37,720 --> 00:21:44,760 Speaker 1: superstars like virus, highly deadly, highly contagious, and unfortunately highly effective. 346 00:21:45,640 --> 00:21:50,280 Speaker 1: We believe exactly what COVID nineteen was. So the Wuhan 347 00:21:50,440 --> 00:21:53,679 Speaker 1: Lab report raises well, first of all, it was a 348 00:21:53,760 --> 00:21:59,679 Speaker 1: normal conclusion. Why we knew the Wuhan Virology Lab studied coronaviruses, 349 00:22:00,200 --> 00:22:02,960 Speaker 1: We knew that they were involved in gain a function research. 350 00:22:03,600 --> 00:22:07,680 Speaker 1: Now we know from doctor Fauci's emails he was told 351 00:22:08,440 --> 00:22:11,159 Speaker 1: that what we can tell with the sequence of the 352 00:22:11,240 --> 00:22:15,920 Speaker 1: virus one particular genome seems to have been lab manipulated. 353 00:22:16,520 --> 00:22:19,280 Speaker 1: It was in there. Then the panic exchanges with other 354 00:22:19,320 --> 00:22:22,520 Speaker 1: people about well that wasn't our money, was it from 355 00:22:22,560 --> 00:22:26,240 Speaker 1: the NIH, which they did funnel American tax dollars through 356 00:22:26,280 --> 00:22:28,679 Speaker 1: the NIH through a third party that they knew was 357 00:22:28,720 --> 00:22:33,760 Speaker 1: going to the Wuhan Virology lab on a whole separate report. 358 00:22:34,440 --> 00:22:38,400 Speaker 1: I mean, and nobody's holding China accountable. Now, I gotta 359 00:22:38,440 --> 00:22:40,960 Speaker 1: tell you now with these breakthrough cases. So one of 360 00:22:40,960 --> 00:22:45,359 Speaker 1: my best friends as a breakthrough case this weekend, and 361 00:22:45,720 --> 00:22:48,240 Speaker 1: I'm like, are you kidding me? Mike? He goes, yeah, 362 00:22:48,240 --> 00:22:49,959 Speaker 1: I just did the home test. They said, we'll get 363 00:22:50,000 --> 00:22:53,400 Speaker 1: your ass over to the testing center and find out. 364 00:22:53,520 --> 00:22:56,919 Speaker 1: Calls me an hour later. Yeah, it was right, I'm positive. 365 00:22:57,600 --> 00:23:01,120 Speaker 1: And as PCR comes back the next day positive. So 366 00:23:01,480 --> 00:23:05,480 Speaker 1: you know, now, you know, thank goodness, we have friends 367 00:23:05,520 --> 00:23:08,680 Speaker 1: of the program, medical doctors that believe in proactive medicine, 368 00:23:08,680 --> 00:23:14,040 Speaker 1: not reactive medicine. Has had regeneron and I's taken ivermectin 369 00:23:14,160 --> 00:23:18,160 Speaker 1: and HCQ. Although I remember we weren't allowed to talk 370 00:23:18,160 --> 00:23:21,840 Speaker 1: about these things. Now we have the Hill reporting that 371 00:23:21,960 --> 00:23:26,240 Speaker 1: more Americans in a gallop survey just released today say 372 00:23:26,320 --> 00:23:29,680 Speaker 1: coronavirus in the US is getting worse rather than better, 373 00:23:30,760 --> 00:23:35,160 Speaker 1: five to forty percent. Comparison, eighty nine percent in June 374 00:23:35,200 --> 00:23:38,439 Speaker 1: said they felt the situation was getting better, and Biden 375 00:23:38,480 --> 00:23:40,639 Speaker 1: now is trying to control the media message on these 376 00:23:40,720 --> 00:23:43,640 Speaker 1: breakout cases. I'm giving you the real numbers. I'm telling 377 00:23:43,720 --> 00:23:46,879 Speaker 1: you that the percentage is small with breakthrough numbers. But 378 00:23:47,119 --> 00:23:50,359 Speaker 1: in the course of what one, two, three days, I 379 00:23:50,520 --> 00:23:54,640 Speaker 1: have two people that I know personally would breakthrough cases 380 00:23:55,240 --> 00:23:59,040 Speaker 1: that were fully vaccinated and still ended up testing positive. 381 00:23:59,560 --> 00:24:02,880 Speaker 1: Lindsay Graham is the other one. I just sent him 382 00:24:02,920 --> 00:24:04,840 Speaker 1: a text because I didn't see it until just as 383 00:24:04,880 --> 00:24:08,720 Speaker 1: I was on the air today. But Biden's teachers Union 384 00:24:08,840 --> 00:24:12,240 Speaker 1: say no to a vaccine mandate, okay, because they want 385 00:24:12,240 --> 00:24:14,240 Speaker 1: to go back to in person learning. Watch what happens. 386 00:24:14,760 --> 00:24:19,119 Speaker 1: Then you got the hypocritical democrats like Muriel Bowser, the 387 00:24:19,240 --> 00:24:23,800 Speaker 1: DC mayor, and Gavin Newsom and Nancy Pelosi taking pictures 388 00:24:23,840 --> 00:24:27,119 Speaker 1: with a mask off. I mean, it's such blatant hypocrisy. 389 00:24:27,440 --> 00:24:29,760 Speaker 1: And I'll tell you the further that they go, in 390 00:24:29,920 --> 00:24:37,560 Speaker 1: my opinion, into these mandated vaccinations, into these ever conflicting messages. 391 00:24:38,240 --> 00:24:40,560 Speaker 1: You know what we see happening in France, don't think 392 00:24:40,640 --> 00:24:43,600 Speaker 1: that's not going to happen here. You have thousands of 393 00:24:43,720 --> 00:24:48,280 Speaker 1: people protesting in France, they got their their virus passport 394 00:24:48,359 --> 00:24:53,119 Speaker 1: or their special virus pass and the people of marching 395 00:24:53,200 --> 00:24:55,920 Speaker 1: through Paris and other French cities on Saturday, they've just 396 00:24:56,080 --> 00:25:00,320 Speaker 1: had it, some clashes with riot police and and you 397 00:25:00,400 --> 00:25:02,920 Speaker 1: know every force they have has been deployed out there 398 00:25:02,960 --> 00:25:06,720 Speaker 1: in Berlin. Not very similar thousands turning out in Berlin 399 00:25:06,840 --> 00:25:11,360 Speaker 1: to protest their government's andi coronavirus measures despite a ban 400 00:25:11,520 --> 00:25:15,840 Speaker 1: on gatherings, leading to clashes with police. Over six hundred 401 00:25:15,880 --> 00:25:20,440 Speaker 1: people were arrested in what's going on in Germany? And 402 00:25:20,560 --> 00:25:23,320 Speaker 1: I think, like every other state, people are fed up 403 00:25:23,359 --> 00:25:26,639 Speaker 1: with the conflicting information that they're getting. I mean, it 404 00:25:26,720 --> 00:25:29,880 Speaker 1: really is outrageous. But the Biden team is reaching out 405 00:25:29,920 --> 00:25:33,960 Speaker 1: to news outlets. They're irresponsible. What are they not supposed 406 00:25:33,960 --> 00:25:38,160 Speaker 1: to report? Granted it's an anomaly. Granted it's a tiny 407 00:25:38,280 --> 00:25:42,440 Speaker 1: percentage of vaccinated people would breakthrough cases. Granted we knew 408 00:25:42,520 --> 00:25:46,359 Speaker 1: the efficacy rates ahead of time as well. It wasn't 409 00:25:46,359 --> 00:25:50,280 Speaker 1: one hundred percent all, granted, but seventy four percent of 410 00:25:50,359 --> 00:25:55,160 Speaker 1: new cases in Provincetown, Massachusetts. Yeah, that's alarming. We better 411 00:25:55,200 --> 00:26:00,320 Speaker 1: pay attention. Lindsey Graham fully vaccinated now contracts COVID. Yeah, 412 00:26:00,359 --> 00:26:03,080 Speaker 1: we better pay attention. One of the things you also 413 00:26:03,200 --> 00:26:06,000 Speaker 1: need to pay attention to that has been underreported are 414 00:26:06,040 --> 00:26:12,480 Speaker 1: the incredible developments of therapeutics. You know, if it wasn't 415 00:26:12,520 --> 00:26:16,200 Speaker 1: for doctor Freed. The four people I've been dealing with 416 00:26:16,320 --> 00:26:19,000 Speaker 1: over the course of the last week and a lot 417 00:26:19,080 --> 00:26:23,760 Speaker 1: over this weekend. One friend of mine, I've known him 418 00:26:23,800 --> 00:26:25,879 Speaker 1: for years. I haven't seen him in years, but I mean, 419 00:26:26,080 --> 00:26:30,199 Speaker 1: great guy, and he chose not to get the vaccine. Anyway, 420 00:26:30,200 --> 00:26:33,280 Speaker 1: he gets the virus. I get the call and I 421 00:26:33,480 --> 00:26:35,680 Speaker 1: got him on the phone with doctor Fred within twenty 422 00:26:35,720 --> 00:26:39,080 Speaker 1: four hours of diagnosis. He had had the regenera on infusion. 423 00:26:39,160 --> 00:26:42,080 Speaker 1: He was on ivermectin on hydroxychloric win and that was 424 00:26:42,160 --> 00:26:44,760 Speaker 1: a week ago. And now his wife got it after that, 425 00:26:45,920 --> 00:26:47,879 Speaker 1: then his son got it, now his daughter has it. 426 00:26:48,560 --> 00:26:50,879 Speaker 1: Doctor Freed put him on his protocol, which has been 427 00:26:50,960 --> 00:26:55,240 Speaker 1: extraordinarily effective, and that is the therapeutic way. But the 428 00:26:55,359 --> 00:26:59,240 Speaker 1: Biden team is now demanding news outlets stop the irresponsible 429 00:26:59,320 --> 00:27:01,840 Speaker 1: Delta cover bridge being done for rating. Nobody's doing this 430 00:27:01,960 --> 00:27:05,960 Speaker 1: for ratings. We're trying to inform the public. I've tried 431 00:27:06,000 --> 00:27:08,879 Speaker 1: to be responsible all throughout this. You know, it was 432 00:27:08,920 --> 00:27:11,200 Speaker 1: one of the first outspoken conservatives, and I took a 433 00:27:11,280 --> 00:27:14,240 Speaker 1: lot of Adams shift for it when saying, you know what, 434 00:27:14,400 --> 00:27:16,199 Speaker 1: the mask really doesn't bother me. If we can get 435 00:27:16,320 --> 00:27:18,840 Speaker 1: life back to normal, it's not going to be in perpetuity. 436 00:27:18,880 --> 00:27:20,440 Speaker 1: I guess maybe I might have been wrong on that 437 00:27:20,560 --> 00:27:23,520 Speaker 1: part because it seems like they're in love with these masks. 438 00:27:24,240 --> 00:27:26,040 Speaker 1: You know, if you get vaccinated, you don't need a mask. 439 00:27:26,080 --> 00:27:28,720 Speaker 1: Now you need a mask, one mask, two masks, No masks, 440 00:27:29,359 --> 00:27:32,520 Speaker 1: masks you know annually. I mean, it's it's just horrible. 441 00:27:34,240 --> 00:27:38,720 Speaker 1: But if you look for this Wuhan Lab report is chilling. Yeah, 442 00:27:38,920 --> 00:27:41,040 Speaker 1: it might be the greatest cover up in human history. 443 00:27:41,080 --> 00:27:45,560 Speaker 1: Congressman McCaul is saying Florida has had a little bit 444 00:27:45,600 --> 00:27:51,640 Speaker 1: of a hot spot ten two hundred and seven COVID hospitalizations. Now, 445 00:27:51,960 --> 00:27:54,879 Speaker 1: the one thing that I'll say too is it looks 446 00:27:54,960 --> 00:28:00,159 Speaker 1: like early data anecdotal. We don't know for sure if 447 00:28:00,200 --> 00:28:03,879 Speaker 1: you've been vaccinated and you do have a breakthrough case 448 00:28:04,119 --> 00:28:07,359 Speaker 1: your odds of dying are limited. One thing that is 449 00:28:07,440 --> 00:28:10,920 Speaker 1: holding steady is you know now they're gonna put masks 450 00:28:11,080 --> 00:28:13,600 Speaker 1: on kids or school, is that young people still are 451 00:28:13,680 --> 00:28:19,480 Speaker 1: not as vulnerable, not vulnerable to the dramatic health risk 452 00:28:19,560 --> 00:28:23,160 Speaker 1: that older people are. It's with some things remain constant, 453 00:28:23,480 --> 00:28:30,600 Speaker 1: call morbidities, pre existing conditions, compromised immune systems. Obesity has 454 00:28:30,680 --> 00:28:32,680 Speaker 1: been a big factor we have found out in the 455 00:28:32,880 --> 00:28:36,080 Speaker 1: end for people, but the kids are not dealing with 456 00:28:36,200 --> 00:28:38,360 Speaker 1: the same issue. It's a very different virus for them, 457 00:28:38,720 --> 00:28:41,560 Speaker 1: inasmuch as they just don't have the reaction that older 458 00:28:41,600 --> 00:28:45,720 Speaker 1: people do. Anyway, DeSantis issued an executive water saying on 459 00:28:45,880 --> 00:28:49,160 Speaker 1: school mandates, I want to see my kids smiling. Greg 460 00:28:49,200 --> 00:28:52,920 Speaker 1: Abbott signed an order banning COVID vaccines. If you want 461 00:28:52,920 --> 00:28:56,200 Speaker 1: to go to Broadway and watch a play the audiences, 462 00:28:56,360 --> 00:28:58,120 Speaker 1: you have to have a COVID passport. You have to 463 00:28:58,200 --> 00:29:02,280 Speaker 1: be fully vaccinated to get in. The National Institutes for 464 00:29:02,400 --> 00:29:06,480 Speaker 1: Health HAD is now saying businesses should require vaccine credentials 465 00:29:06,640 --> 00:29:09,960 Speaker 1: from customers. I'm telling you right now now we're firing nurses. 466 00:29:10,000 --> 00:29:14,080 Speaker 1: Remember the nurse we had on from Houston, Texas. Risk 467 00:29:14,200 --> 00:29:18,080 Speaker 1: or Life all throughout the pandemic, even got COVID and recovered. 468 00:29:18,520 --> 00:29:21,200 Speaker 1: We're not following the science because they just fired her 469 00:29:21,200 --> 00:29:23,760 Speaker 1: because she refused to get a vaccine. The Cleveland Clinic, 470 00:29:24,560 --> 00:29:28,320 Speaker 1: a highly respected medical institution, said that, well, if you 471 00:29:28,400 --> 00:29:30,240 Speaker 1: had COVID, you probably you don't need any of the 472 00:29:30,320 --> 00:29:35,560 Speaker 1: three vaccines. I thought we were following the science. Now, Disney, there, 473 00:29:36,120 --> 00:29:39,120 Speaker 1: Walmart even you know it is going to insist mandate 474 00:29:39,240 --> 00:29:43,040 Speaker 1: vaccines for employees. And they're now altering their mass policies again. 475 00:29:43,680 --> 00:29:47,160 Speaker 1: The new mass guidelines have triggered a backlash. The public, 476 00:29:47,240 --> 00:29:49,800 Speaker 1: in mind view, has every right to be angry at 477 00:29:49,840 --> 00:29:53,240 Speaker 1: the ever changing, ever conflicting messages sent out by the 478 00:29:53,360 --> 00:29:57,480 Speaker 1: so called experts. The person I don't even I don't 479 00:29:57,520 --> 00:29:59,880 Speaker 1: want to hear one more word from doctor Fauchi because 480 00:30:00,000 --> 00:30:02,280 Speaker 1: it has never been anybody more wrong than this guy. 481 00:30:03,240 --> 00:30:04,880 Speaker 1: And I tried to give him the benefit Linda, how 482 00:30:04,880 --> 00:30:06,440 Speaker 1: long that I try to give him the benefit of 483 00:30:06,480 --> 00:30:08,800 Speaker 1: the doubt. This is new. We don't know, you know, 484 00:30:08,960 --> 00:30:11,479 Speaker 1: we're learning as we go. I didn't fault him at 485 00:30:11,520 --> 00:30:15,480 Speaker 1: certain points. Now I'm faulting him. No, he was on 486 00:30:15,560 --> 00:30:17,920 Speaker 1: the show many many times. He really was, and we 487 00:30:18,040 --> 00:30:20,160 Speaker 1: had a lot of open and honest dialogue with him, 488 00:30:20,200 --> 00:30:22,239 Speaker 1: and then the story just started to change and then 489 00:30:22,320 --> 00:30:24,400 Speaker 1: he you know, and he was asking to come on, 490 00:30:24,600 --> 00:30:26,360 Speaker 1: and then he didn't want to come on, and it 491 00:30:26,560 --> 00:30:30,080 Speaker 1: was just odd. Yeah, now they're considering in New York 492 00:30:30,160 --> 00:30:33,400 Speaker 1: wats this is all going to go nationwide vaccine mandates 493 00:30:33,440 --> 00:30:40,040 Speaker 1: for restaurants. It's you know, Fauci respectfully disagrees that masks 494 00:30:40,160 --> 00:30:44,280 Speaker 1: are a choice. So now we're mandating vaccines. Now we're 495 00:30:44,320 --> 00:30:46,920 Speaker 1: going to mandate mask wearing. You see where this is 496 00:30:46,960 --> 00:30:50,160 Speaker 1: all going. But but he's telling us we likely won't 497 00:30:50,200 --> 00:30:52,400 Speaker 1: go into a lockdown over COVID if I can give 498 00:30:52,440 --> 00:30:55,960 Speaker 1: you one anecdotal piece of information that might mean something. 499 00:30:56,800 --> 00:31:00,320 Speaker 1: And I'm just it's again anecdotal, and I'm not a doctor. 500 00:31:00,400 --> 00:31:02,400 Speaker 1: I don't play one on radio, TV. In spite of 501 00:31:02,560 --> 00:31:04,800 Speaker 1: everybody in the mob and the media trying to pressure 502 00:31:04,840 --> 00:31:09,040 Speaker 1: me to do so great Britain was freaked out. What 503 00:31:09,120 --> 00:31:12,640 Speaker 1: was about? For about four or five six weeks, right 504 00:31:12,840 --> 00:31:17,280 Speaker 1: Linda on the delta variant, they had a dramatic increase 505 00:31:17,360 --> 00:31:21,240 Speaker 1: in cases with the delta variant, and then all of 506 00:31:21,320 --> 00:31:24,280 Speaker 1: a sudden it just started evaporating in the last what 507 00:31:24,520 --> 00:31:29,880 Speaker 1: ten fourteen days, right, and it's one down considerably right now. 508 00:31:29,960 --> 00:31:33,240 Speaker 1: It seems now if the pattern holds, I'm not a scientist, 509 00:31:33,800 --> 00:31:35,240 Speaker 1: that would mean that we're going to go through this 510 00:31:35,400 --> 00:31:39,000 Speaker 1: delta variant stage, and then if the pattern holds, that 511 00:31:39,120 --> 00:31:42,120 Speaker 1: means we'll see a dramatic reduction, probably in around six 512 00:31:42,240 --> 00:31:46,080 Speaker 1: weeks somewhere around there. May be smart to be careful, 513 00:31:46,200 --> 00:31:49,640 Speaker 1: protect people you love, older people in particular, that are vulnerable, 514 00:31:50,360 --> 00:31:52,920 Speaker 1: and those were pre existing conditions, all the things that 515 00:31:53,000 --> 00:31:56,160 Speaker 1: I just mentioned. Eight hundred ninety four one, Shaun is 516 00:31:56,160 --> 00:31:57,800 Speaker 1: our number. You want to be a part of the program. 517 00:31:58,720 --> 00:32:04,760 Speaker 1: It's really sad that we have politicized therapeutics. It's really 518 00:32:05,080 --> 00:32:09,680 Speaker 1: sad that you can't even have a different opinion without 519 00:32:10,080 --> 00:32:15,200 Speaker 1: being excoriated by the blue check medium mob, big tech 520 00:32:15,520 --> 00:32:28,600 Speaker 1: blue check media mob cult out there. Unbelievable balance of 521 00:32:28,720 --> 00:32:32,320 Speaker 1: nature's fruits and vegetables in a capsule, changing the world, 522 00:32:32,480 --> 00:32:34,800 Speaker 1: one life at a time. Funny just say, I'm a 523 00:32:34,880 --> 00:32:37,960 Speaker 1: big fan. I've been taking your capsules for over five years. 524 00:32:38,160 --> 00:32:41,200 Speaker 1: I've turned dozens of people onto you, guys. I really 525 00:32:41,320 --> 00:32:44,760 Speaker 1: am impressed with how you get fruits and vegetables condensed 526 00:32:44,840 --> 00:32:48,440 Speaker 1: into capsules and keep all the nutrients, you know, just 527 00:32:48,600 --> 00:32:50,840 Speaker 1: like some of your ads. When I go to see 528 00:32:50,920 --> 00:32:53,440 Speaker 1: my doctor every year, he cannot believe my numbers on 529 00:32:53,520 --> 00:32:55,720 Speaker 1: my blood work, he said. He says, I've got the 530 00:32:55,760 --> 00:32:57,920 Speaker 1: best blood work numbers he's ever seen ever for a 531 00:32:58,000 --> 00:33:00,520 Speaker 1: guy my age. So I really think you guys do 532 00:33:00,600 --> 00:33:03,360 Speaker 1: a great job, and I'm gonna impressed with your product 533 00:33:03,760 --> 00:33:07,479 Speaker 1: experience the Balance of Nature difference for yourself. Right now, 534 00:33:07,680 --> 00:33:10,760 Speaker 1: Balance of Nature is offering free shipping and thirty five 535 00:33:10,880 --> 00:33:14,200 Speaker 1: percent off on any new preferred order. Call eight hundred 536 00:33:14,320 --> 00:33:17,280 Speaker 1: two four six eight seven five one if that's eight 537 00:33:17,400 --> 00:33:20,880 Speaker 1: hundred two four six eight seven fifty one, or by 538 00:33:21,000 --> 00:33:23,840 Speaker 1: going to Balance of Nature dot com and make sure 539 00:33:23,880 --> 00:33:27,880 Speaker 1: to receive this special radio offer by using discount code. Hannity, 540 00:33:28,040 --> 00:33:31,080 Speaker 1: Jesse Kelly Tonight from six till nine on seven to 541 00:33:31,160 --> 00:33:34,160 Speaker 1: ten double. I will come back on Medical Team A team. 542 00:33:34,400 --> 00:33:37,000 Speaker 1: What do you do about therapeutics now that there are 543 00:33:37,040 --> 00:33:46,040 Speaker 1: some breakacount case of breakthrough cases? Next alright, hour two 544 00:33:46,200 --> 00:33:48,760 Speaker 1: Sean Hannity's show eight hundred nine for one Sean, you 545 00:33:48,840 --> 00:33:52,520 Speaker 1: want to be a part of the program, look as 546 00:33:52,560 --> 00:33:55,800 Speaker 1: I've been through. Now on the lot in the last hour, 547 00:33:57,320 --> 00:34:00,960 Speaker 1: if you're not frustrated with your government and they're they're 548 00:34:01,080 --> 00:34:10,640 Speaker 1: ever changing mandates and guidelines and phony predictions and fake 549 00:34:10,800 --> 00:34:14,799 Speaker 1: science and guessing and guessing wrong, and I mean, if 550 00:34:14,800 --> 00:34:18,839 Speaker 1: you're not frustrated, it's just so incredibly frustrating. Never mind 551 00:34:18,880 --> 00:34:20,719 Speaker 1: the fact that we're letting all these people that are 552 00:34:20,719 --> 00:34:24,799 Speaker 1: illegal immigrants with a very high rate of COVID positivity 553 00:34:24,840 --> 00:34:27,520 Speaker 1: across the border and we're not even testing them. We're 554 00:34:27,560 --> 00:34:31,239 Speaker 1: just processing them and then transporting to transporting them to 555 00:34:31,360 --> 00:34:34,400 Speaker 1: one of the forty eight states in the continental United States. 556 00:34:34,960 --> 00:34:37,480 Speaker 1: I mean, you can't make this up. I mean, it's 557 00:34:37,520 --> 00:34:40,320 Speaker 1: that bad, you know, Fauci, I don't really want to 558 00:34:40,360 --> 00:34:42,760 Speaker 1: hear from doctor Fauci. I wonder how many people doctor 559 00:34:42,760 --> 00:34:46,080 Speaker 1: Fauci in the end is actually treated on the front lines, 560 00:34:46,080 --> 00:34:49,440 Speaker 1: because there have been doctors on the front lines from 561 00:34:49,560 --> 00:34:55,960 Speaker 1: day one that are finding that therapeutics have been they're 562 00:34:56,040 --> 00:34:59,520 Speaker 1: using them with phenomenal success. I'm not your doctor. I'm 563 00:34:59,560 --> 00:35:01,560 Speaker 1: not going to play one on radio. I'm not going 564 00:35:01,640 --> 00:35:04,760 Speaker 1: to play one on TV. But I keep telling everybody 565 00:35:04,880 --> 00:35:08,440 Speaker 1: the same montribe and saying it forever. Take it seriously. 566 00:35:08,680 --> 00:35:12,320 Speaker 1: This can kill you. Number One, do your own research. 567 00:35:13,480 --> 00:35:18,439 Speaker 1: I know this audience is highly intelligent and well educated. Three, 568 00:35:19,000 --> 00:35:22,359 Speaker 1: look at your medical history, your current medical condition. Talk 569 00:35:22,400 --> 00:35:25,919 Speaker 1: to your doctor, talk to your doctors. And then you've 570 00:35:25,960 --> 00:35:30,840 Speaker 1: got to decide. Learn about the mRNA vaccination, the Johnson 571 00:35:30,880 --> 00:35:34,960 Speaker 1: and Johnson vaccination. There's two very different vaccinations. MADERNA and 572 00:35:35,040 --> 00:35:38,319 Speaker 1: fives are similar, Johnson and Johnson different. And then you're 573 00:35:38,360 --> 00:35:41,200 Speaker 1: gonna have to make a decision. Now, I'm very grateful 574 00:35:41,239 --> 00:35:44,640 Speaker 1: because we have We've built up an army of medical 575 00:35:44,800 --> 00:35:48,920 Speaker 1: doctors on the front lines that have developed their own protocols. Again, 576 00:35:49,200 --> 00:35:51,480 Speaker 1: I'm not telling you what to do. This is informational 577 00:35:51,560 --> 00:35:54,279 Speaker 1: for you so you can make an informed decision. But 578 00:35:54,920 --> 00:35:58,480 Speaker 1: doctor George for Reid, I think in the last week 579 00:35:59,120 --> 00:36:02,400 Speaker 1: is about six Now I think it's now seven people 580 00:36:02,680 --> 00:36:06,160 Speaker 1: that he was able to help and assist three of them. 581 00:36:06,440 --> 00:36:09,560 Speaker 1: Three of the six you know, over fifty five dot 582 00:36:09,640 --> 00:36:15,279 Speaker 1: regeneron within twenty four hours after they were diagnosed. One 583 00:36:15,400 --> 00:36:18,680 Speaker 1: was diagnosed on Saturday. He was getting regeneraon by Sunday 584 00:36:18,719 --> 00:36:21,319 Speaker 1: in New York, which is nearly impossible. The other people 585 00:36:21,360 --> 00:36:25,040 Speaker 1: would down in Georgia and Emory University its standard protocol. 586 00:36:25,239 --> 00:36:27,480 Speaker 1: It was harder to find a hospital in New York 587 00:36:27,560 --> 00:36:31,759 Speaker 1: that actually uses it as as a therapeutic. I think 588 00:36:31,840 --> 00:36:35,520 Speaker 1: Regeneron is the most underutilized weapon against people that test 589 00:36:35,600 --> 00:36:38,960 Speaker 1: positive for COVID. My humble layman's opinion. We'll let the 590 00:36:39,080 --> 00:36:42,520 Speaker 1: doctor's way in. We welcome back doctor George fred by 591 00:36:42,520 --> 00:36:45,840 Speaker 1: the way, he's a medical doctor from Harvard Harvard Medical School. 592 00:36:46,760 --> 00:36:49,760 Speaker 1: He's been on the front lines every single day. Doctor 593 00:36:49,840 --> 00:36:53,880 Speaker 1: Brian Tyson, Board certified in family Medicine, fourteen years experience 594 00:36:53,920 --> 00:36:57,400 Speaker 1: in the er and by the way, his hospital medical 595 00:36:57,480 --> 00:37:01,640 Speaker 1: experience has been with all Valley Urgent here in El Centro, California. 596 00:37:02,120 --> 00:37:06,440 Speaker 1: Both of them are are tirelessly helping people all over 597 00:37:06,520 --> 00:37:09,480 Speaker 1: the country with what they have put together, which is 598 00:37:09,600 --> 00:37:13,320 Speaker 1: their protocol for people that can track COVID nineteen in 599 00:37:13,400 --> 00:37:16,239 Speaker 1: other words, whether you had the vaccine or not, because 600 00:37:16,320 --> 00:37:19,319 Speaker 1: now it appears more people, not a high percentage yet, 601 00:37:19,400 --> 00:37:21,840 Speaker 1: but it seems that the doors open now. You know, 602 00:37:21,880 --> 00:37:25,320 Speaker 1: one hundred and fifty thousand people about of all the 603 00:37:25,440 --> 00:37:29,239 Speaker 1: vaccinated people in America are now testing positive even with 604 00:37:29,520 --> 00:37:34,120 Speaker 1: the vaccine, which we were told wouldn't happen anyway. Doctor Tyson, 605 00:37:34,200 --> 00:37:36,480 Speaker 1: thank you for being one us doctor Freed. I you know, 606 00:37:36,560 --> 00:37:38,840 Speaker 1: if you start charging me for all this work I'm 607 00:37:38,920 --> 00:37:40,960 Speaker 1: making you, do you really? I mean, I probably can't 608 00:37:41,040 --> 00:37:44,160 Speaker 1: afford you anymore. That is all. Guitar Placer and thank 609 00:37:44,239 --> 00:37:46,719 Speaker 1: you Sean great and view with you as all. It's 610 00:37:46,760 --> 00:37:49,319 Speaker 1: an you know, honestly, the amount of time you put 611 00:37:49,400 --> 00:37:52,839 Speaker 1: in in each case. I've called you and I said, 612 00:37:52,840 --> 00:37:54,839 Speaker 1: will you please help my friend? We can please help 613 00:37:54,920 --> 00:37:57,080 Speaker 1: this friend, well, please help this person. I know that person. 614 00:37:57,160 --> 00:38:00,040 Speaker 1: I know I can't thank you enough. I mean, and 615 00:38:01,040 --> 00:38:04,279 Speaker 1: you think me or Brian, we don't. They're getting better? 616 00:38:04,480 --> 00:38:07,800 Speaker 1: Is our thanks and it's privilege to help because we 617 00:38:07,920 --> 00:38:11,200 Speaker 1: know it works. It works well. And you know you're 618 00:38:11,239 --> 00:38:16,160 Speaker 1: commented about regeneron. The monoclonals provide a good adjunct to 619 00:38:16,239 --> 00:38:19,800 Speaker 1: the oral protocol that we recommend and have used for 620 00:38:19,960 --> 00:38:25,239 Speaker 1: the full pandemic, because the antibodies neutralize the virus and 621 00:38:25,400 --> 00:38:29,120 Speaker 1: the oral medicine stop its multiplication, and so you have 622 00:38:29,280 --> 00:38:31,880 Speaker 1: that one two punch and then it's it's one hundred 623 00:38:31,960 --> 00:38:35,279 Speaker 1: percent results. So great for you to bring that up 624 00:38:35,400 --> 00:38:38,879 Speaker 1: and educate people on this that there is so much 625 00:38:39,000 --> 00:38:42,880 Speaker 1: that we see find where people don't know about monoclonal 626 00:38:42,920 --> 00:38:46,040 Speaker 1: antibodies that and they should they should be aware that 627 00:38:46,160 --> 00:38:48,000 Speaker 1: they can get them here in the United States. We're 628 00:38:48,120 --> 00:38:52,239 Speaker 1: very lucky compared to other countries. But the oral protocol 629 00:38:52,400 --> 00:38:56,960 Speaker 1: with hydroxychloric and ivermectin seek doxocyclone areas that their mice 630 00:38:57,080 --> 00:39:02,840 Speaker 1: and vitamin D is itself very very effective. And Brian 631 00:39:02,880 --> 00:39:06,239 Speaker 1: would comment on that, I'm sure, and doctor Tyson, just 632 00:39:06,320 --> 00:39:08,200 Speaker 1: to be fair to you too, you have been equally 633 00:39:08,239 --> 00:39:11,320 Speaker 1: as helpful, and you guys work hand in hand together, 634 00:39:11,440 --> 00:39:17,480 Speaker 1: you share information together, and combined both of you have 635 00:39:17,560 --> 00:39:21,240 Speaker 1: treated thousands and thousands of patients. Of all the patients 636 00:39:21,280 --> 00:39:23,319 Speaker 1: that you have all treated, how many did you lose 637 00:39:23,360 --> 00:39:25,839 Speaker 1: if you don't mind me asking, and how many people 638 00:39:26,080 --> 00:39:29,080 Speaker 1: the estimate you've treated by now, so we're over five 639 00:39:29,160 --> 00:39:33,279 Speaker 1: thousand treated patients positive with early treatment. We have lost 640 00:39:33,360 --> 00:39:37,360 Speaker 1: nobody with late presentation, meaning those who presented late to 641 00:39:37,400 --> 00:39:41,399 Speaker 1: our clinic over seven to ten days. We have three 642 00:39:41,560 --> 00:39:46,440 Speaker 1: that we've lost due to hospitalizations. And the problem with 643 00:39:46,640 --> 00:39:48,880 Speaker 1: that is they get taken off the treatment when they 644 00:39:48,960 --> 00:39:53,160 Speaker 1: get admitted to the hospital, and you know, we find 645 00:39:53,239 --> 00:39:56,360 Speaker 1: that those patients don't do as well guys, I gotta 646 00:39:56,400 --> 00:39:59,920 Speaker 1: ask you this question. I live in this hell hole 647 00:40:00,160 --> 00:40:03,960 Speaker 1: of a stakehold, New York, Okay. And the average person 648 00:40:04,080 --> 00:40:07,680 Speaker 1: that I know that as contracted COVID that goes to 649 00:40:07,800 --> 00:40:10,799 Speaker 1: the hospital, or goes to their doctor, or that goes 650 00:40:10,840 --> 00:40:12,440 Speaker 1: to their dock in the box and they get a 651 00:40:12,480 --> 00:40:14,840 Speaker 1: positive thing, they're told the same thing. Yeah, if you 652 00:40:14,880 --> 00:40:19,520 Speaker 1: get a fever, take two titlennols, get your fever reduced. 653 00:40:20,600 --> 00:40:23,319 Speaker 1: And if you have at any point your oxygen levels 654 00:40:23,400 --> 00:40:25,440 Speaker 1: dropped to ninety or below, then you better go to 655 00:40:25,520 --> 00:40:28,960 Speaker 1: an emergency room. Now the problem, doctor Tyson, I'll start 656 00:40:29,000 --> 00:40:31,520 Speaker 1: with you. You just mentioned that that's a little late 657 00:40:31,560 --> 00:40:36,719 Speaker 1: at that point because whatever damage usually my understanding is, 658 00:40:36,800 --> 00:40:39,760 Speaker 1: and what I have seen personally, I'm not a doctor, 659 00:40:40,200 --> 00:40:43,040 Speaker 1: was usually between say six or seven days to ten 660 00:40:43,160 --> 00:40:45,640 Speaker 1: days is when the lungs then begin to get hit hard. 661 00:40:46,160 --> 00:40:49,080 Speaker 1: And by the time your oxygen level drops below ninety, 662 00:40:49,560 --> 00:40:52,239 Speaker 1: you probably a ton of damage has already been done. 663 00:40:52,320 --> 00:40:55,040 Speaker 1: Am I wrong? No, You're not wrong, And that's that's 664 00:40:55,080 --> 00:40:57,520 Speaker 1: absolutely correct, And that's kind of what we've been fighting 665 00:40:57,640 --> 00:41:01,239 Speaker 1: for this whole time, which is early treatment wins no 666 00:41:01,360 --> 00:41:05,120 Speaker 1: matter what disease process you treat If you had a 667 00:41:05,200 --> 00:41:08,080 Speaker 1: diagnosis of, say cancer, you're not going to wait till 668 00:41:08,160 --> 00:41:10,759 Speaker 1: stage four cancer to get treatment. You want to treat 669 00:41:10,800 --> 00:41:16,080 Speaker 1: it early for better outcomes. You know, any sort of infection, tuberculosis, pneumonia, 670 00:41:16,960 --> 00:41:19,960 Speaker 1: urinary tracts, infections, you name it across the board. The 671 00:41:20,120 --> 00:41:22,800 Speaker 1: earlier you get treatment, the better outcomes are going to be. 672 00:41:23,400 --> 00:41:27,080 Speaker 1: That's why this policy that the NIH put out saying 673 00:41:27,640 --> 00:41:31,680 Speaker 1: there's we don't recommend any outpatient treatment included today, which 674 00:41:31,840 --> 00:41:35,640 Speaker 1: which regeneration you mentioned earlier, is outpatient treatment. They're not 675 00:41:35,800 --> 00:41:40,040 Speaker 1: recommending any outpatient treatment at this time for COVID nineteen, 676 00:41:40,120 --> 00:41:43,600 Speaker 1: which goes against every part of science that we've ever known. 677 00:41:44,320 --> 00:41:49,800 Speaker 1: You know this, This vaccine is one issue along a 678 00:41:49,920 --> 00:41:54,600 Speaker 1: spectrum of preventative stuff, but nobody's talking about actual treatment. 679 00:41:54,760 --> 00:41:59,040 Speaker 1: We still have yet to figure out why that our 680 00:41:59,480 --> 00:42:03,680 Speaker 1: voices are being suppressed in the early treatment sectors where 681 00:42:03,719 --> 00:42:07,759 Speaker 1: we're showing huge results, huge And that's the part that 682 00:42:07,840 --> 00:42:11,239 Speaker 1: I don't understand, doctor fred Nor do I understand or 683 00:42:11,320 --> 00:42:14,640 Speaker 1: can I comprehend the idea that Regenna on which I 684 00:42:14,760 --> 00:42:18,760 Speaker 1: think was the I may be wrong, and I totally 685 00:42:18,800 --> 00:42:22,680 Speaker 1: agree with your protocols, but once you added regenera on 686 00:42:22,760 --> 00:42:26,640 Speaker 1: to it, it added a whole other layer of protection 687 00:42:27,000 --> 00:42:31,520 Speaker 1: and help and assistance for people that did contract it. Correct. Yeah, 688 00:42:31,600 --> 00:42:35,839 Speaker 1: that's correct though. We were getting our extremely good successes 689 00:42:36,320 --> 00:42:39,400 Speaker 1: well before it was available. But I do am a 690 00:42:39,480 --> 00:42:43,560 Speaker 1: big proponent of adding in anything that neutralizes the virus, 691 00:42:43,719 --> 00:42:47,759 Speaker 1: and that's what the regenera on the monoclonos humanized data 692 00:42:47,800 --> 00:42:51,840 Speaker 1: bodies do very effectively. One thing that bothers me is 693 00:42:51,920 --> 00:42:56,600 Speaker 1: that our CDC director Will Lynski will sate the science 694 00:42:56,760 --> 00:42:59,759 Speaker 1: is changing or something like that, but science doesn't change. 695 00:43:00,000 --> 00:43:04,439 Speaker 1: Gravity is the same. Gravity doesn't change. We have known 696 00:43:04,600 --> 00:43:08,640 Speaker 1: that the science is multiplication of this virus. That's what 697 00:43:08,840 --> 00:43:11,040 Speaker 1: needs to be attacked, and we knew that from the 698 00:43:11,520 --> 00:43:17,600 Speaker 1: beginning of the pandemic, and doctor Zelenko proposed that and 699 00:43:17,960 --> 00:43:22,560 Speaker 1: was absolutely right, and we've built upon his principles to 700 00:43:22,760 --> 00:43:25,879 Speaker 1: create a protocol that we find is almost one hundred 701 00:43:25,920 --> 00:43:29,480 Speaker 1: percent effective if it's given early. But the science doesn't change. 702 00:43:29,520 --> 00:43:33,560 Speaker 1: The science is early, rapid multiplication of the virus in 703 00:43:33,680 --> 00:43:36,960 Speaker 1: this early time period, that's when it has to be attacked. 704 00:43:38,080 --> 00:43:41,120 Speaker 1: So that's so important for people to think clearly and 705 00:43:41,280 --> 00:43:45,000 Speaker 1: not be confused about some issues. But let me ask you, doctor, 706 00:43:45,000 --> 00:43:47,520 Speaker 1: I'll ask both of the same question if you even 707 00:43:47,840 --> 00:43:51,640 Speaker 1: mentioned the word hydroxy chloroquin going back aways, and remember 708 00:43:51,680 --> 00:43:55,880 Speaker 1: there were two prestigious medical journals that published results that 709 00:43:56,000 --> 00:44:00,279 Speaker 1: they have since rescinded about, oh, hydroxychloroquin not working could 710 00:44:00,280 --> 00:44:04,680 Speaker 1: even be dangerous. When doctor Daniel Wallace said, no, I've 711 00:44:04,760 --> 00:44:07,840 Speaker 1: been dispensing this drug for forty five years and the 712 00:44:08,280 --> 00:44:12,920 Speaker 1: biggest rheumati arthritis and rheumatoid arthritis and lupus practices in 713 00:44:13,000 --> 00:44:16,439 Speaker 1: the country. But if you mentioned HCQ, Now, how many 714 00:44:16,520 --> 00:44:18,920 Speaker 1: studies are out that show that, yeah, taken early, it 715 00:44:19,080 --> 00:44:23,240 Speaker 1: is effective in mitigating some of the symptoms, or ivermectin. 716 00:44:23,680 --> 00:44:26,239 Speaker 1: And you know so many people that I know, I 717 00:44:26,480 --> 00:44:29,040 Speaker 1: do this every day. I'm in the news business. They 718 00:44:29,120 --> 00:44:33,120 Speaker 1: don't know about these these treatments, and even doctors refuse 719 00:44:33,239 --> 00:44:35,520 Speaker 1: to go near it. I think because of politics. Am 720 00:44:35,560 --> 00:44:38,400 Speaker 1: I wrong? No, You're not wrong. And there's been hundreds 721 00:44:38,400 --> 00:44:42,800 Speaker 1: of studies on both drugs and medications. And what I 722 00:44:43,120 --> 00:44:47,320 Speaker 1: find interesting as well is they'll they'll single out hydroxy 723 00:44:47,400 --> 00:44:50,600 Speaker 1: chloroquine or ivermectin, but at the same time it's okay 724 00:44:50,680 --> 00:44:54,160 Speaker 1: to use deximta zone off label. It's okay to use 725 00:44:54,239 --> 00:44:59,040 Speaker 1: ethromyasin off label. It's okay to use other medications off 726 00:44:59,120 --> 00:45:03,640 Speaker 1: label if you use it, if you use hydroxychloroquine or ivermectin, 727 00:45:04,160 --> 00:45:06,960 Speaker 1: then all of a sudden, there's a problem. And I say, Sean, 728 00:45:07,080 --> 00:45:09,359 Speaker 1: it always goes back to you're not going to get 729 00:45:09,400 --> 00:45:13,319 Speaker 1: an EUA authorization for these new treatments and these vaccines 730 00:45:13,800 --> 00:45:18,040 Speaker 1: if there's alternative treatment proven, And that's the problem. It's 731 00:45:18,080 --> 00:45:21,799 Speaker 1: not that they don't want to dispense hydroxy chloroquine or ibmectin. 732 00:45:22,160 --> 00:45:25,279 Speaker 1: They don't want to dispense hydroxychloroquine or ibramectin for this 733 00:45:25,920 --> 00:45:30,880 Speaker 1: ICD code for this diagnosis because that eliminates their ability 734 00:45:31,239 --> 00:45:35,279 Speaker 1: to continue their emergency use authorization because they can say, well, 735 00:45:35,320 --> 00:45:39,600 Speaker 1: there's still no alternatives readily available. Quick break more with 736 00:45:39,840 --> 00:45:42,719 Speaker 1: doctors Brian Tyson and George Farida on the other side. 737 00:45:42,800 --> 00:45:44,920 Speaker 1: Eight hundred and nine for one, Shawn is our number. 738 00:45:49,280 --> 00:45:53,000 Speaker 1: If you can't find us on one stage, don't worry. 739 00:45:53,200 --> 00:45:56,440 Speaker 1: We've got SAMEE SMERD and forty nine more. We will 740 00:45:56,520 --> 00:45:58,480 Speaker 1: give you information you're not going to get anywhere else. 741 00:45:58,680 --> 00:46:02,759 Speaker 1: This is John Edy Show. Now on six hundred and 742 00:46:02,960 --> 00:46:11,560 Speaker 1: fifty stations, John on seven to ten w Jesse Kelly 743 00:46:11,760 --> 00:46:15,040 Speaker 1: tonight from six till nine, on seven to ten wo 744 00:46:15,200 --> 00:46:34,279 Speaker 1: on All right, we continue. They've been on the front 745 00:46:34,320 --> 00:46:37,520 Speaker 1: lines of COVID from day one, treating real patients, not 746 00:46:38,080 --> 00:46:40,760 Speaker 1: spending most of the time in front of TV cameras. 747 00:46:41,400 --> 00:46:44,640 Speaker 1: Doctor George Fared and doctor Brian Tyson, what are your thoughts, 748 00:46:44,719 --> 00:46:49,120 Speaker 1: doctor far Reed on now mandatory vaccinations, What are your 749 00:46:49,160 --> 00:46:52,640 Speaker 1: thoughts about? I mean, do people now that are fully vaccinated, 750 00:46:52,680 --> 00:46:54,680 Speaker 1: are they're going to really have to start worrying again 751 00:46:54,760 --> 00:46:59,000 Speaker 1: in about contracting COVID nineteen when when they were told 752 00:46:59,080 --> 00:47:01,480 Speaker 1: just the opposite that life would go back to normal 753 00:47:01,560 --> 00:47:06,640 Speaker 1: if they've vaccinated. Yeah, well, that's absolutely correct. The vaccines 754 00:47:06,800 --> 00:47:10,480 Speaker 1: are not sterilizing. They don't stop the pathogen, and they 755 00:47:10,520 --> 00:47:13,359 Speaker 1: don't stop COVID nineteen, which is what they were hoped 756 00:47:13,400 --> 00:47:16,960 Speaker 1: to do. And as a consequence, we see in the 757 00:47:17,080 --> 00:47:21,880 Speaker 1: vaccinated populations variants breaking through, such as a delta variant, 758 00:47:22,360 --> 00:47:27,680 Speaker 1: and that this continuing heavy vaccination may have a tremendous 759 00:47:28,360 --> 00:47:32,279 Speaker 1: detriment in terms of variants coming up that could never 760 00:47:32,920 --> 00:47:36,759 Speaker 1: may never have been there before. We feel that if 761 00:47:36,840 --> 00:47:40,560 Speaker 1: you attack the early stage of the virus with the treatment, 762 00:47:41,120 --> 00:47:45,080 Speaker 1: you then develop natural immunity and the patient recoveries rapidly 763 00:47:45,160 --> 00:47:48,040 Speaker 1: and doesn't spread it for an extended period of time, 764 00:47:48,320 --> 00:47:52,280 Speaker 1: and that natural immunity quite clearly is durable. Two papers 765 00:47:52,480 --> 00:47:57,440 Speaker 1: just came out in Nature and Sell magazine journals that 766 00:47:57,640 --> 00:48:02,680 Speaker 1: show really a diverse immunity that's so much more extensive 767 00:48:02,719 --> 00:48:07,920 Speaker 1: than the vaccine generated immunity to the alpha ones, that is, 768 00:48:08,000 --> 00:48:11,440 Speaker 1: to this spike protein of the variant that isn't no 769 00:48:11,560 --> 00:48:14,880 Speaker 1: longer is no longer present the alpha variant, so that 770 00:48:15,280 --> 00:48:20,200 Speaker 1: the vaccines generate in a very focused immunity, narrow band immunity, 771 00:48:20,719 --> 00:48:27,960 Speaker 1: and variants have evolved that don't aren't neutralized by that immunity, 772 00:48:28,360 --> 00:48:33,799 Speaker 1: and in actuality, the patients, the individual that's it's been immunized, 773 00:48:33,920 --> 00:48:37,600 Speaker 1: may be able to carry the virus into the into 774 00:48:37,640 --> 00:48:42,080 Speaker 1: the cell more effectively through what's called antibody dependent enhancement, 775 00:48:42,560 --> 00:48:45,800 Speaker 1: where the antibody is bind to the virus, not neutralizing it, 776 00:48:46,120 --> 00:48:50,600 Speaker 1: but actually promoting its uptake into cells. Which is all 777 00:48:50,600 --> 00:48:52,000 Speaker 1: I'll tell you what I'm going to do. If you 778 00:48:52,040 --> 00:48:55,040 Speaker 1: guys can arrange the time either tomorrow or whatever day 779 00:48:55,080 --> 00:48:57,960 Speaker 1: this week you can. I want to stay focused on 780 00:48:58,440 --> 00:49:02,480 Speaker 1: your plan of pro active medicine, not reactive medicine. I 781 00:49:02,600 --> 00:49:06,080 Speaker 1: want to stay focused on the therapeutic aspect of this 782 00:49:06,120 --> 00:49:08,640 Speaker 1: because we've heard everything that we can hear, you know, 783 00:49:08,800 --> 00:49:12,880 Speaker 1: each opinion sideways on the on the vaccine and what 784 00:49:13,120 --> 00:49:16,080 Speaker 1: people you recommend, especially now if there's a risk that 785 00:49:16,200 --> 00:49:19,919 Speaker 1: people vaccinated can now contract COVID and and maybe people 786 00:49:19,960 --> 00:49:22,240 Speaker 1: will call in and you guys can take calls from listeners. 787 00:49:22,280 --> 00:49:25,400 Speaker 1: Would that work for you, guys? Yeah? Absolutely, absolutely absolutely, 788 00:49:25,480 --> 00:49:27,399 Speaker 1: all right, Yeah, I can't thank you both enough. You've 789 00:49:27,400 --> 00:49:29,560 Speaker 1: been very very kind to friends of mine. By the way, 790 00:49:29,600 --> 00:49:33,280 Speaker 1: ten days later, my friend and Georgia just tested negative today, 791 00:49:33,920 --> 00:49:38,080 Speaker 1: doctor Fred. Thank you, thank you enough. You're very welcome. 792 00:49:38,239 --> 00:49:41,400 Speaker 1: Sun thank ee Sha number. You want to be a 793 00:49:41,440 --> 00:49:44,360 Speaker 1: part of the program, the battle over the budget and 794 00:49:44,480 --> 00:50:15,360 Speaker 1: reconciliation that's coming up next quick break, right back, Sean Hannity, 795 00:50:15,680 --> 00:50:21,560 Speaker 1: always concerned for our country, always honoring our servicemen and servicewomen, 796 00:50:21,800 --> 00:50:27,279 Speaker 1: and standing up for liberty every day. By twenty five 797 00:50:27,360 --> 00:50:29,400 Speaker 1: to the top of the hour, eight hundred and nine 798 00:50:29,480 --> 00:50:31,200 Speaker 1: for one, Seawn our number. You want to be a 799 00:50:31,239 --> 00:50:36,520 Speaker 1: part of the program, so rare Sunday session Democrats Republicans, 800 00:50:36,640 --> 00:50:38,960 Speaker 1: that's one thing they unite on. They don't like to 801 00:50:39,080 --> 00:50:42,959 Speaker 1: work hard. And of course the August recesses coming though. 802 00:50:43,080 --> 00:50:46,920 Speaker 1: It's like the big race. Nobody reads the bills. They 803 00:50:47,000 --> 00:50:50,560 Speaker 1: shove it down our throat and it's getting more frustrating 804 00:50:50,600 --> 00:50:53,040 Speaker 1: by the day, you know. So anyway, the problem I 805 00:50:53,160 --> 00:50:57,719 Speaker 1: first have is this so called bipartisan infrastructure bill for 806 00:50:57,880 --> 00:51:03,319 Speaker 1: one point two trillion dollars. Now, the problem is that's 807 00:51:03,360 --> 00:51:05,360 Speaker 1: not where Democrats are going to stop. And remember they 808 00:51:05,400 --> 00:51:10,000 Speaker 1: have one more shot at reconciliation. And again it's a 809 00:51:10,120 --> 00:51:13,600 Speaker 1: parliamentary maneuver that the Democrats will use. They get one 810 00:51:13,680 --> 00:51:16,440 Speaker 1: shot at it, and what they will do is whatever 811 00:51:16,520 --> 00:51:19,160 Speaker 1: they don't get and quote the bipartisan deal, they're going 812 00:51:19,200 --> 00:51:23,040 Speaker 1: to shove into the reconciliation bill. And Chuck Schumer is 813 00:51:23,080 --> 00:51:27,200 Speaker 1: not hiding the fact at all. He's out there saying, yeah, 814 00:51:27,640 --> 00:51:30,120 Speaker 1: we you know, we've had bumps in the road, but 815 00:51:30,160 --> 00:51:33,720 Speaker 1: we're gonna have two bills as large and as comprehensive 816 00:51:33,760 --> 00:51:36,719 Speaker 1: as these. And once they get the one point two 817 00:51:36,880 --> 00:51:40,800 Speaker 1: trillion dollars so called bipartisan bill, then they're going to 818 00:51:40,880 --> 00:51:44,160 Speaker 1: have a separate three point five trillion dollars spending package, 819 00:51:44,640 --> 00:51:48,040 Speaker 1: which they're calling human infrastructure, which is an infrastructure because 820 00:51:48,080 --> 00:51:51,840 Speaker 1: it's all New Green Deal nonsense. In other words, daycare 821 00:51:51,960 --> 00:51:57,040 Speaker 1: is now infrastructure. Free college is infrastructure. Everything being free 822 00:51:57,280 --> 00:52:00,560 Speaker 1: is infrastructure, rather than calling it what it is, the 823 00:52:01,000 --> 00:52:04,320 Speaker 1: New Green Deal. And so this is the battle. And 824 00:52:04,440 --> 00:52:06,960 Speaker 1: there's what Schumer even said, he goes, after the bipartisan 825 00:52:07,080 --> 00:52:11,640 Speaker 1: infrastructure legislation passes this chamber, I will immediately move to 826 00:52:11,800 --> 00:52:16,799 Speaker 1: the other track, passing a budget resolution with reconciliation instructions. 827 00:52:17,080 --> 00:52:19,640 Speaker 1: The Senate had been expected to start at summer break 828 00:52:19,680 --> 00:52:22,759 Speaker 1: August ninth, but let's see where that ends up. Listen, 829 00:52:22,840 --> 00:52:24,000 Speaker 1: one thing I can tell you is they don't want 830 00:52:24,000 --> 00:52:27,080 Speaker 1: to get beyond this. Even McConnell is saying, the borrowing, 831 00:52:27,200 --> 00:52:31,360 Speaker 1: the spending, the taxing is at a dizzying rate that 832 00:52:31,440 --> 00:52:34,680 Speaker 1: we've never seen before. Then you've got AOC slamming the 833 00:52:34,800 --> 00:52:39,800 Speaker 1: Democrats for not pushing the infrastructure, not even making it higher, 834 00:52:39,960 --> 00:52:42,560 Speaker 1: because this is all to appease the new modern, New 835 00:52:42,640 --> 00:52:45,600 Speaker 1: Green Deal Socialist Party. I mean, so this weekend a 836 00:52:45,680 --> 00:52:48,640 Speaker 1: lot of people speaking out about it. We had squad 837 00:52:48,760 --> 00:52:54,160 Speaker 1: members Congress Homan Omar and Congresswoman Alexandria Cassio Cortez. And 838 00:52:54,239 --> 00:52:56,879 Speaker 1: this is what they said. We've been very clear, we've 839 00:52:56,920 --> 00:53:01,600 Speaker 1: got five priorities. If those priorities aren't there is not 840 00:53:01,760 --> 00:53:04,239 Speaker 1: going to be a piece of legislation that passes. And 841 00:53:04,400 --> 00:53:07,200 Speaker 1: we obviously, you know, don't want to stay. We're not 842 00:53:07,360 --> 00:53:11,040 Speaker 1: going to support. We're not negotiating. We've been very clear. 843 00:53:11,840 --> 00:53:14,879 Speaker 1: Four months ago. We put out our priorities. We said, 844 00:53:15,520 --> 00:53:18,279 Speaker 1: this is what we're willing to do. These are our 845 00:53:18,360 --> 00:53:21,759 Speaker 1: wet lines, this is what we want to bring with 846 00:53:22,120 --> 00:53:26,480 Speaker 1: us as we negotiate. Now I know the infrastructure deal 847 00:53:26,520 --> 00:53:28,320 Speaker 1: that they're talking about, and Mansion said they're going to 848 00:53:28,360 --> 00:53:30,280 Speaker 1: introduce it today. They're going to bring up The language 849 00:53:30,880 --> 00:53:32,560 Speaker 1: is obviously a lot smaller than you wanted, a lot 850 00:53:32,640 --> 00:53:34,320 Speaker 1: smaller than a lot of your fellow progressives wanted. It 851 00:53:34,440 --> 00:53:37,480 Speaker 1: still does include things you like, including funding for electric 852 00:53:37,560 --> 00:53:41,719 Speaker 1: vehicle charging stations, public transit, clean water systems, broadband more. 853 00:53:42,360 --> 00:53:44,160 Speaker 1: When it comes before the House, as it looks like 854 00:53:44,239 --> 00:53:47,440 Speaker 1: will happen, will you vote for it? We have to 855 00:53:47,560 --> 00:53:49,520 Speaker 1: hold up so that we have to hold onto that bargain. 856 00:53:49,600 --> 00:53:51,640 Speaker 1: If there is not a reconfoliation bill in the House, 857 00:53:52,120 --> 00:53:54,560 Speaker 1: and if the Senate does not pass the reconfoliation bill, 858 00:53:55,160 --> 00:53:57,160 Speaker 1: we will uphold our end of the bargain and not 859 00:53:57,320 --> 00:53:59,960 Speaker 1: pass the bipartisan bill until we get all of these investment. 860 00:54:00,640 --> 00:54:03,280 Speaker 1: We have a tight margin in the Senate. I respect 861 00:54:03,520 --> 00:54:06,040 Speaker 1: that we have to get Senator you know, Cinema and 862 00:54:06,160 --> 00:54:09,520 Speaker 1: Mansion's vote on reconciliation. They should also respect that there's 863 00:54:09,520 --> 00:54:11,840 Speaker 1: a very tight House margin and that we have to 864 00:54:11,880 --> 00:54:13,879 Speaker 1: be able to uphold our end of the bargain as well. 865 00:54:14,080 --> 00:54:17,800 Speaker 1: And House Progressives are also part of that of that majority. 866 00:54:17,880 --> 00:54:19,920 Speaker 1: And how many House Progressives do you think are with 867 00:54:19,960 --> 00:54:23,000 Speaker 1: you on us? I believe a very large amount of 868 00:54:23,040 --> 00:54:25,800 Speaker 1: the Progressive Caucus. The total amount is about ninety I 869 00:54:26,160 --> 00:54:29,240 Speaker 1: You know, I am not the whip of the Progressive Caucus, 870 00:54:29,360 --> 00:54:31,040 Speaker 1: but what I can tell you is that it's certainly 871 00:54:31,120 --> 00:54:35,040 Speaker 1: more than three and it is in the double digits, 872 00:54:35,120 --> 00:54:38,680 Speaker 1: absolutely enough to prevent it from passing more than enough. 873 00:54:38,880 --> 00:54:42,200 Speaker 1: All right, So that's now the battle lines that are drawn. Now, 874 00:54:43,040 --> 00:54:45,239 Speaker 1: what I really bothers me more than anything is that 875 00:54:45,400 --> 00:54:50,160 Speaker 1: Republicans are getting suckered into the one point two trillion dollars. 876 00:54:50,280 --> 00:54:51,560 Speaker 1: Then they can, then they're gonna go out there and 877 00:54:51,600 --> 00:54:55,120 Speaker 1: say no, no, this is a bipartisan infrastructure bill, and 878 00:54:55,239 --> 00:54:58,040 Speaker 1: then everything they didn't get negotiations, they're going to shove 879 00:54:58,160 --> 00:55:03,640 Speaker 1: down our throat Visa V. Reconciliation, assuming that Mansion Cinema 880 00:55:03,760 --> 00:55:07,080 Speaker 1: and others go for it anyway. Doctor Roger Marshall, he's 881 00:55:07,120 --> 00:55:09,319 Speaker 1: a Senator from the great state of Kansas. He's here 882 00:55:09,360 --> 00:55:11,920 Speaker 1: to discuss the bill. By the way, this bill is 883 00:55:11,960 --> 00:55:16,040 Speaker 1: a whopping twenty seven hundred pages. I don't even know 884 00:55:16,320 --> 00:55:19,560 Speaker 1: if he's read the bill, but I'll ask you, doctor Rogers. 885 00:55:19,600 --> 00:55:21,879 Speaker 1: I would assume in the little time that you've had 886 00:55:21,920 --> 00:55:24,279 Speaker 1: it in your possession, you probably have not gotten through 887 00:55:24,680 --> 00:55:27,920 Speaker 1: all twenty seven hundred pages. And my guess is probably 888 00:55:27,960 --> 00:55:30,799 Speaker 1: you've allocated, you know, two hundred three hundred pages per 889 00:55:30,880 --> 00:55:34,520 Speaker 1: staff member and they'll give you a summary. Sean, that's right. Yeah, 890 00:55:34,520 --> 00:55:37,440 Speaker 1: we got it late last night and the staff is 891 00:55:37,520 --> 00:55:40,879 Speaker 1: busily going through it. No, I've not read the whole 892 00:55:40,960 --> 00:55:43,520 Speaker 1: bill yet, but I will have looked at every page 893 00:55:43,640 --> 00:55:45,640 Speaker 1: before I vote at it, and my staff will have 894 00:55:45,719 --> 00:55:48,120 Speaker 1: read at every page. But I just had to sit 895 00:55:48,160 --> 00:55:49,879 Speaker 1: here and chuckle too. As you play some of those 896 00:55:49,960 --> 00:55:53,480 Speaker 1: comments from my Democrat friends in the House. You can 897 00:55:53,680 --> 00:55:56,960 Speaker 1: sure tell the congress members who have never ran a business, 898 00:55:57,080 --> 00:55:59,560 Speaker 1: have never signed a paycheck, have never said on a 899 00:55:59,640 --> 00:56:03,480 Speaker 1: school board or a church board, that they think they 900 00:56:03,560 --> 00:56:07,320 Speaker 1: can negotiate through the press and tell us what to 901 00:56:07,440 --> 00:56:10,080 Speaker 1: do over here. I think we've got them on the run. 902 00:56:10,200 --> 00:56:12,839 Speaker 1: I think we're jamming them, and I'm glad that they're 903 00:56:12,880 --> 00:56:15,440 Speaker 1: just scrambled over there right now. All right, do you 904 00:56:15,719 --> 00:56:19,280 Speaker 1: really see any chance that one point two trillion gets passed? 905 00:56:19,320 --> 00:56:23,960 Speaker 1: Because that's not reconciliation and nor is this really and 906 00:56:24,080 --> 00:56:26,880 Speaker 1: it's such such a sucker's bet for some Republicans. I 907 00:56:27,000 --> 00:56:29,960 Speaker 1: know that they want to be bipartisan, but the problem 908 00:56:30,120 --> 00:56:33,080 Speaker 1: is you're not dealing with honest brokers on the other side. 909 00:56:33,760 --> 00:56:37,080 Speaker 1: And the negotiation, Oh okay, we'll give you this, we'll 910 00:56:37,120 --> 00:56:38,879 Speaker 1: agree to that, but then it's going to be put 911 00:56:38,960 --> 00:56:42,000 Speaker 1: on the back end, which they'll use the reconciliation process 912 00:56:42,480 --> 00:56:45,399 Speaker 1: and bypass any Republican support. So it's to me, it's 913 00:56:46,000 --> 00:56:48,520 Speaker 1: you know, it's it's all smoke and mirrors, and it's 914 00:56:48,560 --> 00:56:50,680 Speaker 1: a Washington game, and it's why we call it the 915 00:56:50,760 --> 00:56:53,839 Speaker 1: swamp on the sewer. Well, we'll sean there's certainly two 916 00:56:54,400 --> 00:56:57,080 Speaker 1: four divisional chess games going on at the same time, 917 00:56:57,239 --> 00:56:59,200 Speaker 1: or one on the House and one on the Senate 918 00:56:59,320 --> 00:57:02,480 Speaker 1: side as well. They're going to do a reconciliation bill 919 00:57:02,560 --> 00:57:06,319 Speaker 1: no matter what. And my guess is my political calculus 920 00:57:06,440 --> 00:57:11,080 Speaker 1: says if this bipartisan bill's fails, the final ticket price 921 00:57:11,160 --> 00:57:14,480 Speaker 1: for America will be even more. So I think that 922 00:57:14,640 --> 00:57:17,840 Speaker 1: we are taking this looking at this infrastructure, this bipartists 923 00:57:17,840 --> 00:57:20,600 Speaker 1: and infrastructure bill, and see if we couldn't make it better. 924 00:57:21,320 --> 00:57:23,200 Speaker 1: There's some good things about it, but there's certainly some 925 00:57:23,320 --> 00:57:26,160 Speaker 1: things we can't go along with yet. But I think 926 00:57:26,240 --> 00:57:30,520 Speaker 1: that if we do nothing, it'll empower the socialists to 927 00:57:30,680 --> 00:57:33,680 Speaker 1: get even more done in Cinema and Mansion lose all 928 00:57:33,720 --> 00:57:36,360 Speaker 1: their power. So you might consider that for a second. 929 00:57:36,680 --> 00:57:38,920 Speaker 1: All right, So let's talk about that. If you do 930 00:57:39,000 --> 00:57:42,200 Speaker 1: you ever have time to speak to people like Senator 931 00:57:42,320 --> 00:57:46,920 Speaker 1: Mansion or Senator Cinema, absolutely do. We've got great relationships, 932 00:57:47,560 --> 00:57:50,120 Speaker 1: great respects for both of them. Joe Mansion a very 933 00:57:50,200 --> 00:57:54,240 Speaker 1: godly man, always been a person of his word. I 934 00:57:54,320 --> 00:57:57,320 Speaker 1: truly one a leader up here in many many ways. 935 00:57:57,760 --> 00:58:01,360 Speaker 1: I've seen Senators Cinemas at Aaron talked to five senators 936 00:58:01,440 --> 00:58:05,280 Speaker 1: simultaneously talk to me about healthcare and a really deep 937 00:58:05,320 --> 00:58:07,560 Speaker 1: dive and repeat it back to me word for word. 938 00:58:07,920 --> 00:58:11,120 Speaker 1: She's actually impressed me. She wants to be a maverick, 939 00:58:11,400 --> 00:58:13,600 Speaker 1: and I think she's making a name for herself here. 940 00:58:13,800 --> 00:58:15,760 Speaker 1: All right, So I'm looking at what they want now. 941 00:58:16,360 --> 00:58:19,000 Speaker 1: I know words are supposed to mean something, Senator, but 942 00:58:19,120 --> 00:58:22,800 Speaker 1: to me, they're not really meaning anything that I recognize. 943 00:58:22,840 --> 00:58:24,440 Speaker 1: And then I begin to have a problem with it. 944 00:58:24,960 --> 00:58:28,280 Speaker 1: You know, for example, instead of saying raising taxes, we're 945 00:58:28,320 --> 00:58:31,680 Speaker 1: gonna have investments in this, and that everything's an investment. 946 00:58:32,240 --> 00:58:36,200 Speaker 1: Infrastructure now used to be defined, at least from my recollection, 947 00:58:36,560 --> 00:58:39,240 Speaker 1: doing this thirty three years, Senator might sound like a 948 00:58:39,320 --> 00:58:41,160 Speaker 1: long time, but that's how long I've been doing it. 949 00:58:42,200 --> 00:58:46,120 Speaker 1: But it used to be that they would talk about roads, bridges, 950 00:58:46,160 --> 00:58:50,240 Speaker 1: and tunnels and that would be considered infrastructure. Now childcare 951 00:58:50,400 --> 00:58:55,080 Speaker 1: is infrastructure. Now, government healthcare is infrastructure. Student loan forgivenesses 952 00:58:55,120 --> 00:59:00,560 Speaker 1: infrastructure guaranteed, basic wages, infrastructure guaranteed government healthy food is instructure. 953 00:59:01,000 --> 00:59:03,200 Speaker 1: I don't know, but when I grew up, none of 954 00:59:03,240 --> 00:59:06,320 Speaker 1: those things are infrastructure. No, No, you're right. So human 955 00:59:06,400 --> 00:59:11,440 Speaker 1: infrastructure is just another word for socialism. So whenever they 956 00:59:11,520 --> 00:59:14,959 Speaker 1: talk about human infrastructure, immediately thinking, you're in your head 957 00:59:15,400 --> 00:59:18,720 Speaker 1: of more handouts from the government, making people more dependent. 958 00:59:19,120 --> 00:59:21,640 Speaker 1: So you go back to President Obama. He hired the 959 00:59:21,680 --> 00:59:24,560 Speaker 1: best wordsmiths in the world and they come up with 960 00:59:24,600 --> 00:59:27,200 Speaker 1: the incredible terms. So I think that's just one example 961 00:59:27,800 --> 00:59:30,800 Speaker 1: of what they're able to do here is coined different phrases, 962 00:59:30,920 --> 00:59:33,440 Speaker 1: light like that and yeah, and the pay fors is 963 00:59:33,480 --> 00:59:35,680 Speaker 1: what you're getting at as well. Whenever Democrats says we 964 00:59:35,800 --> 00:59:39,320 Speaker 1: need to pay for something, grab your wallet, right, because 965 00:59:39,360 --> 00:59:41,360 Speaker 1: they want to tax you. So this is a tax 966 00:59:41,440 --> 00:59:44,520 Speaker 1: and spendings free that they're you're saying three and a half. 967 00:59:44,600 --> 00:59:45,880 Speaker 1: I think it would be a five and a hap 968 00:59:46,120 --> 00:59:48,960 Speaker 1: seven trillion dollars bill when it's all said and done. 969 00:59:49,480 --> 00:59:51,840 Speaker 1: So let me ask about well, when all is said 970 00:59:51,880 --> 00:59:53,440 Speaker 1: and done, In other words, if they don't get the 971 00:59:53,480 --> 00:59:58,080 Speaker 1: bipartisan bill, they'll shove it all in the reconciliation bill, correct, 972 00:59:58,360 --> 01:00:00,880 Speaker 1: and then some more. I think it'll a much bigger 973 01:00:01,000 --> 01:00:05,400 Speaker 1: bill if this bipartisan action doesn't happen, because it's going 974 01:00:05,480 --> 01:00:08,320 Speaker 1: to take the legs out from under Cinema and Mansion, 975 01:00:08,400 --> 01:00:10,439 Speaker 1: and then the Progresses are gonna be able to say, look, 976 01:00:10,720 --> 01:00:13,240 Speaker 1: look we think you couldn't do this. So this is 977 01:00:13,360 --> 01:00:15,880 Speaker 1: this is quite a game. But so do you really 978 01:00:16,000 --> 01:00:19,560 Speaker 1: believe Cinema. Look, I can't even tell I'm not going 979 01:00:19,600 --> 01:00:21,240 Speaker 1: to be able to tell you what Romney's gonna do. 980 01:00:21,440 --> 01:00:23,280 Speaker 1: I'm not gonna be able to tell you what Murkowski's 981 01:00:23,320 --> 01:00:24,640 Speaker 1: gonna do. I'm not gonna be able to tell you 982 01:00:24,720 --> 01:00:27,480 Speaker 1: what Ben Sas is going to do. But you know, 983 01:00:27,680 --> 01:00:30,960 Speaker 1: as Mansion, the people of West Virginia, I don't think 984 01:00:31,040 --> 01:00:34,080 Speaker 1: support this bill. They certainly don't support this five or 985 01:00:34,160 --> 01:00:37,320 Speaker 1: six trillion dollars. And I tell you what profiles and courage. 986 01:00:37,320 --> 01:00:39,200 Speaker 1: I'm sure you've read saw some of the things that 987 01:00:39,520 --> 01:00:41,880 Speaker 1: Senator Mansion said over the weekend. He wasn't going to 988 01:00:41,960 --> 01:00:46,760 Speaker 1: let him carve out parts of the filibuster. He said 989 01:00:46,800 --> 01:00:49,040 Speaker 1: that that number is too high that they're talking about. 990 01:00:49,120 --> 01:00:51,840 Speaker 1: So he's pushing back on him, and we got to 991 01:00:51,920 --> 01:00:55,160 Speaker 1: give some give them some gunpowder to push back with. Yeah, 992 01:00:55,320 --> 01:00:58,280 Speaker 1: it's unbelievable, all right, And how is there any shot 993 01:00:58,360 --> 01:01:01,600 Speaker 1: in hell? I mean, look, we've got parliamentary issues too. 994 01:01:01,680 --> 01:01:04,640 Speaker 1: The Senate Parliamentarian has been pretty outspoken about things that 995 01:01:04,720 --> 01:01:07,960 Speaker 1: they that would not be allowed to be defined as infrastructure. 996 01:01:07,960 --> 01:01:11,800 Speaker 1: But my question is, do you think Schumer's successful in 997 01:01:11,920 --> 01:01:15,680 Speaker 1: this effort before the recess. He's basically acting as if 998 01:01:15,880 --> 01:01:19,560 Speaker 1: both the bipartisan deal and the reconciliation deal are done 999 01:01:19,600 --> 01:01:22,200 Speaker 1: deals and that they're going to get past. Do you 1000 01:01:22,280 --> 01:01:24,760 Speaker 1: believe that's the case? No, not at all, not at all. 1001 01:01:24,800 --> 01:01:26,439 Speaker 1: I think that we will have a vote this week 1002 01:01:26,560 --> 01:01:29,760 Speaker 1: on the bipartisan infrastructure bill, and that's going to probably 1003 01:01:29,800 --> 01:01:33,600 Speaker 1: be followed up with the budget reconciliation package, which would 1004 01:01:33,680 --> 01:01:37,280 Speaker 1: authorize them to start talking about spending seven trillion dollars. 1005 01:01:37,360 --> 01:01:40,200 Speaker 1: Could you imagine getting fifty Democrat senators in a room 1006 01:01:40,280 --> 01:01:42,840 Speaker 1: and say, how do you want to spend seven trillion dollars? 1007 01:01:43,120 --> 01:01:44,680 Speaker 1: It's going to take them a month or two to 1008 01:01:44,760 --> 01:01:47,080 Speaker 1: get that fight over with, and that's why we got 1009 01:01:47,200 --> 01:01:51,600 Speaker 1: to empower Mansion in cinema to keep standing tall. Oh, 1010 01:01:51,720 --> 01:01:54,000 Speaker 1: I don't disagree with you at all. Quick break. We'll 1011 01:01:54,040 --> 01:01:57,120 Speaker 1: come back more with doctor Roger Marshall, also the Senator 1012 01:01:57,240 --> 01:01:59,200 Speaker 1: from Kansas on the other side. We'll get to your 1013 01:01:59,240 --> 01:02:02,000 Speaker 1: calls coming up in our final hour Free for All 1014 01:02:02,200 --> 01:02:05,240 Speaker 1: and the medium mob. We'll check in with a report 1015 01:02:05,320 --> 01:02:13,600 Speaker 1: with Mark Simone. Final hour roundup is next. You do 1016 01:02:13,840 --> 01:02:16,280 Speaker 1: not want to miss it, and stay tuned for the 1017 01:02:16,400 --> 01:02:20,000 Speaker 1: final hour free for All on the Sean Hannity Show 1018 01:02:21,800 --> 01:02:31,120 Speaker 1: on seven ten wh I. Doctor Roger Marshall, also the 1019 01:02:31,240 --> 01:02:33,520 Speaker 1: great senator from the state of Kansas, is with us. 1020 01:02:34,360 --> 01:02:37,840 Speaker 1: By the way, you're a medical doctor as well. If 1021 01:02:37,880 --> 01:02:40,440 Speaker 1: I might ask you one question about these ever shifting 1022 01:02:40,480 --> 01:02:44,280 Speaker 1: and changing goalposts as it relates to COVID. I had 1023 01:02:44,320 --> 01:02:46,160 Speaker 1: a friend of mine, a very close friend of mine, 1024 01:02:46,720 --> 01:02:51,480 Speaker 1: fully vaccinated, and on Saturday he tested positive for COVID. 1025 01:02:51,840 --> 01:02:56,080 Speaker 1: Now he has great doctors. I know he's already gotten 1026 01:02:56,160 --> 01:02:59,440 Speaker 1: regeneron and all the other therapeutics that I've discussed at 1027 01:02:59,600 --> 01:03:02,160 Speaker 1: length on this program with others. We just had on 1028 01:03:02,280 --> 01:03:04,960 Speaker 1: two doctors that are I've been on the front lines 1029 01:03:05,040 --> 01:03:09,680 Speaker 1: the entire time. But with that said, I know the 1030 01:03:09,840 --> 01:03:12,360 Speaker 1: numbers and percentages are low based on the number of 1031 01:03:12,440 --> 01:03:15,760 Speaker 1: people vaccinated about what one hundred and sixty three or 1032 01:03:15,840 --> 01:03:19,800 Speaker 1: so million Americans. But my question is they're saying one 1033 01:03:19,920 --> 01:03:22,680 Speaker 1: hundred and twenty five hundred and fifty thousand. I'm not 1034 01:03:22,800 --> 01:03:25,320 Speaker 1: sure I really trust their numbers, and I think with 1035 01:03:25,440 --> 01:03:29,960 Speaker 1: the intensity of mandating vaccines, the intensity and the push 1036 01:03:30,080 --> 01:03:32,760 Speaker 1: now even if you've vaccinated to go back to wearing 1037 01:03:32,840 --> 01:03:38,080 Speaker 1: a mask, I worry. I'm concerned that they see more 1038 01:03:38,160 --> 01:03:42,400 Speaker 1: than they're telling us. Am I potentially wrong on that, No, Sean, Actually, 1039 01:03:42,440 --> 01:03:44,080 Speaker 1: it sounds like you've been reading some of the studies 1040 01:03:44,160 --> 01:03:47,120 Speaker 1: from the European Unions, from Great Britain and our friends 1041 01:03:47,200 --> 01:03:49,480 Speaker 1: from Israel, and that a lot of the people with 1042 01:03:49,680 --> 01:03:52,680 Speaker 1: just by the way, you are absolutely correct. That's exactly 1043 01:03:52,760 --> 01:03:56,920 Speaker 1: what I've seen there. You go, yeah, that these vaccines 1044 01:03:57,040 --> 01:03:59,760 Speaker 1: ran out of juice. And that's why I am pressuring 1045 01:03:59,800 --> 01:04:03,520 Speaker 1: you FDA to give us full approval for the vaccines. 1046 01:04:03,600 --> 01:04:06,800 Speaker 1: We have to allow doctors and patients to decide if 1047 01:04:06,800 --> 01:04:10,120 Speaker 1: you need that booster shot or not. So I think 1048 01:04:10,160 --> 01:04:15,040 Speaker 1: that this virus disupportionally impacts our senior citizens and those 1049 01:04:15,120 --> 01:04:18,520 Speaker 1: people with underlying illnesses, and we're seeing their antibodies start 1050 01:04:18,600 --> 01:04:21,080 Speaker 1: to fall over six to eight months, and some of 1051 01:04:21,120 --> 01:04:23,400 Speaker 1: the people like your friend, may need a booster shot, 1052 01:04:23,480 --> 01:04:25,720 Speaker 1: but they could do an antibody level on him and 1053 01:04:25,840 --> 01:04:28,240 Speaker 1: then decide should you have a booster shot or not. 1054 01:04:28,480 --> 01:04:31,000 Speaker 1: So we should be focusing on those that the virus 1055 01:04:31,160 --> 01:04:34,640 Speaker 1: is impacting. We need real quickly. Did you agree with 1056 01:04:34,800 --> 01:04:37,480 Speaker 1: the Cleveland clinic that said, well, if you have T 1057 01:04:37,680 --> 01:04:41,000 Speaker 1: cell antibodies, in other words, natural antibody levels will decrease, 1058 01:04:41,160 --> 01:04:45,760 Speaker 1: but still your cells maintain what are called T cell antibodies. 1059 01:04:45,840 --> 01:04:50,240 Speaker 1: In other words, your body naturally would recognize if you 1060 01:04:50,360 --> 01:04:55,000 Speaker 1: had COVID any future contact with the virus and immediately 1061 01:04:55,120 --> 01:04:58,720 Speaker 1: begin to activate and defend the body against the virus. 1062 01:04:58,760 --> 01:05:01,200 Speaker 1: Do you agree with that ap Absolutely? And that's why 1063 01:05:01,240 --> 01:05:05,200 Speaker 1: again I'm begging the FDA to pass to look at 1064 01:05:05,280 --> 01:05:07,120 Speaker 1: some other T cell tests so it could be more 1065 01:05:07,160 --> 01:05:10,360 Speaker 1: readily available. I would love to know how many of 1066 01:05:10,360 --> 01:05:13,280 Speaker 1: the first graders in my hometown are immune. Wouldn't you 1067 01:05:13,360 --> 01:05:15,360 Speaker 1: like to know that as you go forward to make 1068 01:05:15,400 --> 01:05:17,600 Speaker 1: a plan for let's say the virus rakes back out 1069 01:05:17,720 --> 01:05:19,760 Speaker 1: or not. So I think that your T cell immunity 1070 01:05:20,120 --> 01:05:22,600 Speaker 1: it can be there. We've seen a ninety almost one 1071 01:05:22,680 --> 01:05:26,439 Speaker 1: hundred years after the Spanish flu of nineteen seventeen, people 1072 01:05:26,520 --> 01:05:29,440 Speaker 1: still had T cells and the T cells would wake 1073 01:05:29,520 --> 01:05:31,760 Speaker 1: up the rest of your body if exposed to the virus. 1074 01:05:31,800 --> 01:05:35,280 Speaker 1: So you're absolutely right. That's interesting to hear medical opinions 1075 01:05:35,320 --> 01:05:37,800 Speaker 1: short of doctor Fauci, who has been all over the place. 1076 01:05:37,920 --> 01:05:40,840 Speaker 1: Thank you, senator, We appreciate it. Keep fighting a good fight. Okay, 1077 01:05:41,160 --> 01:05:43,280 Speaker 1: the eight hundred nine for one, Sean is our number. 1078 01:05:43,320 --> 01:05:45,040 Speaker 1: You want to be a part of the program, quick break, 1079 01:05:45,120 --> 01:05:47,760 Speaker 1: right back, all right, news rounds up, information overload ours 1080 01:05:47,800 --> 01:05:50,160 Speaker 1: Sean Hannity Show, eight hundred and nine four one, Sean, 1081 01:05:50,200 --> 01:05:52,120 Speaker 1: you want to be a part of the program. I 1082 01:05:52,400 --> 01:05:54,880 Speaker 1: don't even know what to say anymore about Biden. I mean, 1083 01:05:55,360 --> 01:05:59,360 Speaker 1: he is doing the zoom call at the time Kamala 1084 01:05:59,440 --> 01:06:05,640 Speaker 1: Harris was speaking shocking anyway and anyway at the White House, 1085 01:06:07,280 --> 01:06:11,440 Speaker 1: somebody had to step into the room hand Joe a 1086 01:06:11,560 --> 01:06:16,800 Speaker 1: piece of paper. Sir, there's something on your chin. The 1087 01:06:17,000 --> 01:06:20,800 Speaker 1: note has seen in photos taken by an AP photographer, 1088 01:06:21,160 --> 01:06:25,080 Speaker 1: said President Spiden had something small and yellow on his chin. 1089 01:06:25,880 --> 01:06:28,280 Speaker 1: Now you might think, Okay, that's not that bad, Hannity, 1090 01:06:28,440 --> 01:06:32,439 Speaker 1: well kind of is. And then it got worse from there, 1091 01:06:32,600 --> 01:06:37,800 Speaker 1: because that then became after he got the note, then 1092 01:06:37,880 --> 01:06:41,080 Speaker 1: he you know, takes it off his chin and apparently 1093 01:06:41,280 --> 01:06:45,080 Speaker 1: stuck it in his mouth. Only Mark Simone will have 1094 01:06:45,200 --> 01:06:48,560 Speaker 1: the proper analysis of this. My friend, and colleague at 1095 01:06:48,600 --> 01:06:53,040 Speaker 1: our New York affiliate w R. How are you, sir? Well, 1096 01:06:54,320 --> 01:06:57,200 Speaker 1: you can't make this, Adam Schiff up. You just can't. 1097 01:06:58,160 --> 01:07:01,720 Speaker 1: Oh my god, this is question for everybody listening. And 1098 01:07:01,880 --> 01:07:05,160 Speaker 1: be honest, would you let Joe Biden drive you in 1099 01:07:05,240 --> 01:07:09,680 Speaker 1: a car? That? I mean, okay, I really can't laugh anymore. 1100 01:07:09,720 --> 01:07:12,600 Speaker 1: Don't make me laugh because you got on a plane 1101 01:07:13,040 --> 01:07:15,720 Speaker 1: and you know the pilot walks on what kind of pilot? 1102 01:07:15,960 --> 01:07:18,200 Speaker 1: If you looked like that? Would you run off the plane? 1103 01:07:18,880 --> 01:07:22,800 Speaker 1: The question, okay, do you want to is do you 1104 01:07:22,840 --> 01:07:25,320 Speaker 1: want a real answer? Because you know the answer. This 1105 01:07:25,600 --> 01:07:30,520 Speaker 1: is now officially scary, especially considering you know, the evil 1106 01:07:30,640 --> 01:07:34,840 Speaker 1: actors of China and Russia and beyond. And I'll tell 1107 01:07:34,840 --> 01:07:36,560 Speaker 1: you one other thing that's on my mind. I'd love 1108 01:07:36,600 --> 01:07:38,760 Speaker 1: to get your take on this. Did you hear Hunter 1109 01:07:38,920 --> 01:07:42,920 Speaker 1: Biden's zero experience Hunter and the interview? Now this guy 1110 01:07:43,080 --> 01:07:45,800 Speaker 1: with no experience? You know, first of all, his book 1111 01:07:45,800 --> 01:07:48,880 Speaker 1: he got paid a fortune and it's sold ten thousand 1112 01:07:49,000 --> 01:07:53,080 Speaker 1: copies by comparison Levince sold you know, in less than 1113 01:07:53,240 --> 01:07:56,240 Speaker 1: two weeks, over a half a million copies. I mean, 1114 01:07:56,320 --> 01:07:58,600 Speaker 1: that's how bad that deal was. Now he's doing what 1115 01:07:58,760 --> 01:08:01,040 Speaker 1: to me looks like finger pay If I can do 1116 01:08:01,160 --> 01:08:03,200 Speaker 1: it as finger painting and it's not art, I promise 1117 01:08:03,280 --> 01:08:07,800 Speaker 1: you I have no artistic skill whatsoever. Now he's interviewed 1118 01:08:07,800 --> 01:08:10,040 Speaker 1: about it, because it's going to run. These paint things 1119 01:08:10,080 --> 01:08:13,040 Speaker 1: are going to run between seventy five thousand and five 1120 01:08:13,200 --> 01:08:17,000 Speaker 1: hundred grand. They're going to do it anonymously. Okay, is 1121 01:08:17,040 --> 01:08:19,680 Speaker 1: if I believe that? Lie? I don't. And here's what 1122 01:08:19,760 --> 01:08:22,360 Speaker 1: he said when people criticize them, He's gonna have good 1123 01:08:22,360 --> 01:08:24,719 Speaker 1: spirits about you know, this sort of kind of craze 1124 01:08:24,800 --> 01:08:27,439 Speaker 1: narrative around your your painting. You know, I mean, how 1125 01:08:27,479 --> 01:08:30,280 Speaker 1: do you you know, what's your response to the people 1126 01:08:30,320 --> 01:08:32,920 Speaker 1: who are you know, coming after that, the prices of 1127 01:08:33,000 --> 01:08:35,840 Speaker 1: the work or just you know, the collectors. I mean, 1128 01:08:36,240 --> 01:08:40,439 Speaker 1: what's been your response to that? Other than that's a 1129 01:08:40,520 --> 01:08:43,240 Speaker 1: pretty good response all you need? Yeah? Yeah, look, man, 1130 01:08:43,640 --> 01:08:46,240 Speaker 1: is this is it? I never said my prace is 1131 01:08:46,400 --> 01:08:48,080 Speaker 1: my art is going to cost what it was going 1132 01:08:48,160 --> 01:08:49,880 Speaker 1: to cost or how much it would be praced at. 1133 01:08:50,000 --> 01:08:52,679 Speaker 1: I'd be amazed, you know if my art has sold 1134 01:08:53,120 --> 01:08:56,240 Speaker 1: you know, for um, for for ten dollars um. Uh, 1135 01:08:57,000 --> 01:08:59,240 Speaker 1: just because the first time that you ever go about 1136 01:08:59,240 --> 01:09:01,800 Speaker 1: It is the idea that someone is attracted to your art, 1137 01:09:01,880 --> 01:09:04,880 Speaker 1: let alone that they would pay something for it. You 1138 01:09:05,000 --> 01:09:08,360 Speaker 1: guys know this thousand times better than I will ever 1139 01:09:08,520 --> 01:09:11,439 Speaker 1: know it, you know, but I do know enough that 1140 01:09:13,240 --> 01:09:17,600 Speaker 1: an artist the value of an artist's work is not 1141 01:09:18,040 --> 01:09:23,679 Speaker 1: necessarily determined by the price, but the price is completely subjective. Okay, 1142 01:09:23,800 --> 01:09:26,160 Speaker 1: Mark Simone, have you seen the pictures? Have you seen 1143 01:09:26,240 --> 01:09:30,559 Speaker 1: the paintings, have you seen the so called art? Well, 1144 01:09:30,600 --> 01:09:32,439 Speaker 1: I can explain this to you. You remember, in nineteen 1145 01:09:32,560 --> 01:09:35,160 Speaker 1: the nineteen fifties, there was a payola scandal. You would 1146 01:09:35,200 --> 01:09:37,960 Speaker 1: bribe the disc jockeys to play your record. It was 1147 01:09:38,080 --> 01:09:41,880 Speaker 1: ruled illegal, and they all switched to art gallery. Suddenly 1148 01:09:41,920 --> 01:09:45,960 Speaker 1: their wife had an art goal. You're making this up. 1149 01:09:46,040 --> 01:09:48,559 Speaker 1: You have to be no, absolutely true. And they were 1150 01:09:48,600 --> 01:09:50,840 Speaker 1: mostly around Columbus Circle in New York. So instead of 1151 01:09:50,920 --> 01:09:53,360 Speaker 1: giving them ten thousand, you'd buy a junk painting for 1152 01:09:53,479 --> 01:09:56,080 Speaker 1: ten thousand. Now, Hunter's a big rock and roll fan. 1153 01:09:56,160 --> 01:09:58,720 Speaker 1: I'm sure he read that in those books about that era, 1154 01:09:59,080 --> 01:10:00,759 Speaker 1: and that's where you got the deal for this scam. 1155 01:10:02,200 --> 01:10:05,320 Speaker 1: It's absolutely ridiculous. Guy got a fortune from a Ukrainian 1156 01:10:05,360 --> 01:10:08,280 Speaker 1: oil boy. He isn't any about oil, can't speak Ukrainian, 1157 01:10:08,560 --> 01:10:11,200 Speaker 1: he can't paint. He's getting five hundred thousand dollars of painting. 1158 01:10:11,479 --> 01:10:14,640 Speaker 1: The guys are genius at getting jobs that he's absolutely 1159 01:10:14,720 --> 01:10:16,880 Speaker 1: not qualified to do. If he walked into an operating room, 1160 01:10:16,880 --> 01:10:20,080 Speaker 1: they'd say, here, you want to try this? It's just ridiculous. 1161 01:10:20,800 --> 01:10:23,760 Speaker 1: How is it? And I really want your own analysis 1162 01:10:23,840 --> 01:10:26,680 Speaker 1: on this. How if any of the Trump kids, and 1163 01:10:26,960 --> 01:10:28,800 Speaker 1: you've known them for many years. I've known them for 1164 01:10:28,880 --> 01:10:31,680 Speaker 1: many years, if you're in media New York, you know 1165 01:10:31,800 --> 01:10:36,040 Speaker 1: the Trump's just the way it is. Imagine any of 1166 01:10:36,080 --> 01:10:38,960 Speaker 1: the Trump kids lying on a gun application. Imagine any 1167 01:10:39,000 --> 01:10:42,280 Speaker 1: of the Trump kids dumping a gun in a dumpster. 1168 01:10:42,880 --> 01:10:47,280 Speaker 1: Imagine any of the Trump kids if they had no qualifications, 1169 01:10:47,320 --> 01:10:50,639 Speaker 1: by their own admission, no experience, oil, gas, energy, or Ukraine, 1170 01:10:50,680 --> 01:10:53,640 Speaker 1: and got millions of dollars and Joe then leveraged a 1171 01:10:53,760 --> 01:10:57,960 Speaker 1: billion to fire the prosecutor investigating his son. Okay, Imagine 1172 01:10:58,200 --> 01:11:00,320 Speaker 1: if any of the Trump kids got three and a 1173 01:11:00,360 --> 01:11:03,519 Speaker 1: half million from a Russian oligarch. Imagine if any of 1174 01:11:03,560 --> 01:11:06,400 Speaker 1: the Trump kids got money for a sports car from 1175 01:11:06,439 --> 01:11:10,040 Speaker 1: a Kazakhstan oligarch. Imagine if any of the Trump kids 1176 01:11:10,960 --> 01:11:13,880 Speaker 1: got a one and a half billion dollars deal with 1177 01:11:14,000 --> 01:11:17,439 Speaker 1: the Bank of China after flying with their father in 1178 01:11:17,600 --> 01:11:20,439 Speaker 1: the capacity in this case of vice president to China 1179 01:11:21,360 --> 01:11:25,400 Speaker 1: and one hundred thousand dollars Chinese shopping spree. What do 1180 01:11:25,520 --> 01:11:29,400 Speaker 1: you think the media reaction would be, like, pretty pretty 1181 01:11:29,720 --> 01:11:33,560 Speaker 1: obvious answer, and why why are they that corrupt? And 1182 01:11:33,680 --> 01:11:35,560 Speaker 1: do they not see it? Or they see it and 1183 01:11:35,720 --> 01:11:39,920 Speaker 1: don't care. It's Trump arrangement syndrome, and it's still going. 1184 01:11:40,040 --> 01:11:41,439 Speaker 1: You know, I was watching the Sunday shows. All they 1185 01:11:41,479 --> 01:11:44,559 Speaker 1: did was talking about Trump. What an insult to Biden. 1186 01:11:44,600 --> 01:11:46,840 Speaker 1: You're not relevant enough for a Sunday Show segment. But 1187 01:11:47,720 --> 01:11:50,360 Speaker 1: whenever you bring up Hunter, they'll always try to go 1188 01:11:50,400 --> 01:11:52,240 Speaker 1: after the Trump kids and all they can ever come 1189 01:11:52,320 --> 01:11:54,720 Speaker 1: up with. As well Ivanka and her patents. You know, 1190 01:11:54,800 --> 01:11:57,960 Speaker 1: got her patents approved in China. Those were existing patents. 1191 01:11:58,000 --> 01:12:00,439 Speaker 1: She had those for ten years. They were her patents. 1192 01:12:00,760 --> 01:12:02,640 Speaker 1: Maybe he jumped into the head of the line. But 1193 01:12:02,880 --> 01:12:05,880 Speaker 1: but so what, You're right, there's no comparison. You know, 1194 01:12:05,960 --> 01:12:09,200 Speaker 1: the Trump kids, they're the best raised, most honorable kids 1195 01:12:09,240 --> 01:12:12,360 Speaker 1: in the world, and you compare that to Hunter Biden. 1196 01:12:12,800 --> 01:12:16,240 Speaker 1: You know, they're investigating Trump's tax returns for the fourth time. 1197 01:12:16,320 --> 01:12:18,360 Speaker 1: Now here's the guy who had four billion when he 1198 01:12:18,439 --> 01:12:22,000 Speaker 1: took office, two billion when he left. You take Obama 1199 01:12:22,080 --> 01:12:24,120 Speaker 1: who had five hundred thousand when he entered office. He's 1200 01:12:24,160 --> 01:12:26,920 Speaker 1: now a billionaire and has never held a job. Well 1201 01:12:27,000 --> 01:12:28,880 Speaker 1: look at let's look at those tax returns and see 1202 01:12:28,880 --> 01:12:32,559 Speaker 1: how that happened. Our friend, who really needs his own 1203 01:12:32,600 --> 01:12:36,560 Speaker 1: show on Fox News, is the only honest media columnist 1204 01:12:36,720 --> 01:12:40,960 Speaker 1: out there in the in the Country's a Fox News contributor. Also, 1205 01:12:41,040 --> 01:12:44,599 Speaker 1: he writes about the media for The Hill. Joe Conscience 1206 01:12:44,640 --> 01:12:47,800 Speaker 1: back with us. You know, I'm I'm lobbing softballs here, 1207 01:12:47,840 --> 01:12:51,040 Speaker 1: but I'm really looking for deeper analysis as to how 1208 01:12:51,600 --> 01:12:56,679 Speaker 1: it's such a flagrant double standard, you know how and why? Well, first, 1209 01:12:56,720 --> 01:12:58,640 Speaker 1: let me ask you a question from before Sean, which was, 1210 01:12:58,720 --> 01:13:01,559 Speaker 1: would you let Joe By drive you in a car? 1211 01:13:02,280 --> 01:13:04,920 Speaker 1: I wouldn't, but I would let him drive his eighteen 1212 01:13:04,960 --> 01:13:06,560 Speaker 1: wheeler with me in it. I think that would be 1213 01:13:06,680 --> 01:13:12,040 Speaker 1: kind of a fun teeth one wheeler. Yeah. Actually, I 1214 01:13:12,080 --> 01:13:13,720 Speaker 1: mean this is impressive when you think about it. He 1215 01:13:13,760 --> 01:13:16,439 Speaker 1: actually drove that eighteen wheeler all the way to South 1216 01:13:16,520 --> 01:13:19,160 Speaker 1: Africa so he could meet with Nelson Mandela before he 1217 01:13:19,240 --> 01:13:20,840 Speaker 1: got arrested for doing so. So you know, you got 1218 01:13:20,920 --> 01:13:25,160 Speaker 1: to admire you could pull that off anyway. Yeah, Look, 1219 01:13:25,320 --> 01:13:29,200 Speaker 1: I think with Joe Biden, ultimately he his poll numbers. 1220 01:13:29,560 --> 01:13:31,640 Speaker 1: I'm seeing them, and they should be very disturbing for 1221 01:13:31,680 --> 01:13:34,400 Speaker 1: the White House because seventy percent of voters say they're 1222 01:13:34,520 --> 01:13:39,000 Speaker 1: concerned about inflation. For example, skyrocketing crime, particularly violent crime 1223 01:13:39,080 --> 01:13:42,240 Speaker 1: in cities, that is directly being blamed on Biden and 1224 01:13:42,400 --> 01:13:44,880 Speaker 1: Democrats because they didn't speak out at all last year 1225 01:13:45,160 --> 01:13:48,600 Speaker 1: when we had mostly peaceful riots in American cities and 1226 01:13:48,760 --> 01:13:51,200 Speaker 1: then we hear about the funding the police, and Biden 1227 01:13:51,240 --> 01:13:54,240 Speaker 1: didn't do anything to combat that when he was a candidate. Now, 1228 01:13:54,280 --> 01:13:56,639 Speaker 1: obviously with all this happening on his watch in terms 1229 01:13:56,680 --> 01:13:58,720 Speaker 1: of crime, he's going to get blamed for that. So 1230 01:13:58,800 --> 01:14:00,800 Speaker 1: when you have a country where it's more expensive to 1231 01:14:00,880 --> 01:14:03,400 Speaker 1: live and it's less safe to live in, that's a 1232 01:14:03,520 --> 01:14:08,440 Speaker 1: problem with Barack Obama. At least his personality and likability 1233 01:14:08,479 --> 01:14:10,160 Speaker 1: to those in the middle right, that the people that 1234 01:14:10,280 --> 01:14:13,160 Speaker 1: matter in elections, that saved him from having an otherwise 1235 01:14:13,360 --> 01:14:16,160 Speaker 1: below average presidency in terms of actually getting things done. 1236 01:14:16,240 --> 01:14:19,280 Speaker 1: Biden doesn't have that to your point, and then when 1237 01:14:19,720 --> 01:14:21,920 Speaker 1: he is actually put out there to speak in any 1238 01:14:22,000 --> 01:14:25,040 Speaker 1: extemporing his way, it goes horribly for him because to 1239 01:14:25,120 --> 01:14:27,120 Speaker 1: your point, he is not the same person he even 1240 01:14:27,320 --> 01:14:29,320 Speaker 1: was four years ago. So what's going to save him. 1241 01:14:29,479 --> 01:14:33,120 Speaker 1: It's not performance and it's certainly not his personality. And 1242 01:14:33,200 --> 01:14:35,080 Speaker 1: that's going to be a big problem for Joe Biden, 1243 01:14:35,120 --> 01:14:37,800 Speaker 1: no matter how much favorable coverage or non coverage. To 1244 01:14:37,840 --> 01:14:39,439 Speaker 1: Mark's point before, because they don't talk about him on 1245 01:14:39,439 --> 01:14:41,760 Speaker 1: the Sunday shows he gets, I mean the results of 1246 01:14:41,800 --> 01:14:44,759 Speaker 1: the results. Sean. By the way, I think Mark Simone 1247 01:14:44,840 --> 01:14:47,679 Speaker 1: is the only one that still watches those pathetic Sunday shows. 1248 01:14:47,720 --> 01:14:50,360 Speaker 1: They're just God. I gave up watching them years ago, 1249 01:14:50,439 --> 01:14:53,080 Speaker 1: and now I get a print out of what might 1250 01:14:53,160 --> 01:14:55,240 Speaker 1: have been said, and I barely even read that because 1251 01:14:55,240 --> 01:14:59,559 Speaker 1: it's just a waste of time. I love Brian Sculp, 1252 01:15:00,000 --> 01:15:02,679 Speaker 1: the worst show I have ever seen. It's a worthy 1253 01:15:03,280 --> 01:15:07,840 Speaker 1: you watch a train wreck, right, poor Humpty dumpty. What 1254 01:15:08,000 --> 01:15:11,120 Speaker 1: did you think, both of you about the Biden team 1255 01:15:11,240 --> 01:15:15,640 Speaker 1: reaching out to the news outlets. Now I'm being fair here, 1256 01:15:15,680 --> 01:15:18,720 Speaker 1: I'm just giving the numbers what the data shows. We're 1257 01:15:18,800 --> 01:15:22,200 Speaker 1: now seeing cases and it hit home for me very 1258 01:15:22,280 --> 01:15:24,719 Speaker 1: personally this weekend. I mentioned it earlier in the show 1259 01:15:24,760 --> 01:15:27,400 Speaker 1: a couple of times that I have a friend of 1260 01:15:27,439 --> 01:15:30,639 Speaker 1: mine that was fully vaccinated the tested positive on Saturday. 1261 01:15:31,160 --> 01:15:33,759 Speaker 1: And I have two friends of mine, and doctor George 1262 01:15:33,800 --> 01:15:36,280 Speaker 1: Farid was one of them at Harvard Medical School, and 1263 01:15:36,439 --> 01:15:39,800 Speaker 1: he believes in proactive medicine, not reactive medicine, And within 1264 01:15:39,920 --> 01:15:43,920 Speaker 1: twenty four hours he had the regeneron infusion. Not easy 1265 01:15:44,040 --> 01:15:46,360 Speaker 1: to find in New York, which scares me because I 1266 01:15:46,400 --> 01:15:49,599 Speaker 1: think it's the most underutilized therapeutic out there, my humble 1267 01:15:49,680 --> 01:15:52,960 Speaker 1: opinion as a layman. But when the Biden team is 1268 01:15:53,320 --> 01:15:57,000 Speaker 1: reaching out because there are these breakthrough cases, Mark granted 1269 01:15:57,240 --> 01:16:00,320 Speaker 1: one hundred and sixty one million vaccinated, they say one 1270 01:16:00,400 --> 01:16:03,120 Speaker 1: hundred and twenty five thousand. I don't believe that number 1271 01:16:03,160 --> 01:16:06,160 Speaker 1: at all. I think it's probably higher. Time will tell. 1272 01:16:07,200 --> 01:16:10,000 Speaker 1: But now that's really beginning to conserve me. And I 1273 01:16:10,120 --> 01:16:12,800 Speaker 1: didn't know that in light the coverage in Provincetown, where 1274 01:16:12,880 --> 01:16:18,040 Speaker 1: seventy four percent of fully vaccinated people you know, represented 1275 01:16:18,080 --> 01:16:21,000 Speaker 1: the nearly five hundred cases, they're all breakthrough cases, seventy 1276 01:16:21,040 --> 01:16:24,040 Speaker 1: four percent of them. That's a lot in one area. 1277 01:16:24,160 --> 01:16:28,280 Speaker 1: Why why did that happen there? Well, yeah, generally Provincetown especially, 1278 01:16:28,320 --> 01:16:33,120 Speaker 1: these are very very very crowded areas, very dense. Good 1279 01:16:33,160 --> 01:16:35,880 Speaker 1: news breakthrough cases. You're not going to get a severe case. 1280 01:16:36,320 --> 01:16:38,200 Speaker 1: The odds of that are below one percent. You can 1281 01:16:38,280 --> 01:16:41,840 Speaker 1: get a mild case. Most important thing is get everybody vaccinated. 1282 01:16:42,280 --> 01:16:46,519 Speaker 1: The problem is the media covers up who's you know, 1283 01:16:46,560 --> 01:16:50,200 Speaker 1: where you have the biggest problems. People under thirty, very 1284 01:16:50,240 --> 01:16:54,320 Speaker 1: low vaccination rate, African Americans, other minorities, lower vaccination rate, 1285 01:16:54,920 --> 01:16:58,600 Speaker 1: illegal aliens the lowest thirteen percent. So you've got to 1286 01:16:58,640 --> 01:17:02,120 Speaker 1: get these people vaccinated. On fourly, Joe Biden, Kamala Harris, whoever, 1287 01:17:02,640 --> 01:17:05,479 Speaker 1: doesn't have any luck at it. They're just not able 1288 01:17:05,520 --> 01:17:09,120 Speaker 1: to wait. Aren't they really creating more vaccine hesitancy themselves? 1289 01:17:09,240 --> 01:17:11,120 Speaker 1: I mean, you know, just look at all the news 1290 01:17:11,160 --> 01:17:13,040 Speaker 1: that came out this weekend. Oh yeah, we told you 1291 01:17:13,160 --> 01:17:15,080 Speaker 1: that if he got vaccinated, you're okay. But now we're 1292 01:17:15,120 --> 01:17:18,160 Speaker 1: going to mandate masks and other things are going to happen. 1293 01:17:18,680 --> 01:17:22,080 Speaker 1: I'm like, well, that's the opposite of what you told us. Yeah. Yeah, 1294 01:17:22,720 --> 01:17:24,840 Speaker 1: they keep getting it backwards. And also they keep they 1295 01:17:24,880 --> 01:17:26,360 Speaker 1: don't seem to know what to do. They just can't 1296 01:17:26,360 --> 01:17:27,720 Speaker 1: wear a mask. Wear a mask. You know, if you 1297 01:17:27,760 --> 01:17:29,680 Speaker 1: went to a doctor and said, like foot hurts, wear 1298 01:17:29,760 --> 01:17:32,360 Speaker 1: a mask, that's all they got in their arsenal, and 1299 01:17:32,439 --> 01:17:36,440 Speaker 1: it's not good enough. Yeah, John Marker and Sean where 1300 01:17:36,560 --> 01:17:38,400 Speaker 1: doctor Fauci has been on this. First he said that 1301 01:17:38,479 --> 01:17:40,519 Speaker 1: you don't need masses is last year. Then he said, okay, no, 1302 01:17:40,600 --> 01:17:41,720 Speaker 1: you need one mask, and he said, you know what, 1303 01:17:41,800 --> 01:17:44,439 Speaker 1: two masks really makes a lot of common sense. Then 1304 01:17:44,640 --> 01:17:46,720 Speaker 1: he says, after you're vaccinated that you still shouldn't go 1305 01:17:46,760 --> 01:17:48,599 Speaker 1: to restaurants, and he still should wear a mask until 1306 01:17:48,680 --> 01:17:50,720 Speaker 1: May where he said, okay, it's okay to not wear 1307 01:17:50,760 --> 01:17:53,599 Speaker 1: a mask. And now here in late July now early August, 1308 01:17:53,760 --> 01:17:55,280 Speaker 1: he says, no, maybe you should put a mask back 1309 01:17:55,320 --> 01:17:57,639 Speaker 1: on him. When people see this sort of ping pong there, 1310 01:17:57,680 --> 01:18:00,240 Speaker 1: their hair hurts after a while. And I look at 1311 01:18:00,280 --> 01:18:03,240 Speaker 1: this one poll it comes from web MD and Medscape, 1312 01:18:03,280 --> 01:18:06,519 Speaker 1: and it says that seventy seven percent of Americans say 1313 01:18:06,600 --> 01:18:09,519 Speaker 1: their trust in the CDC has decreased since the start 1314 01:18:09,640 --> 01:18:12,400 Speaker 1: of the pandemic. So the more they talk, whether it's Fauci, 1315 01:18:12,479 --> 01:18:15,120 Speaker 1: whether it's Rashelle Wallinski, who went on Brett Bear's show 1316 01:18:15,160 --> 01:18:17,240 Speaker 1: on Friday and said, oh, yeah, we're looking into federal 1317 01:18:17,560 --> 01:18:20,400 Speaker 1: vaccination mandates, and then an hour later Ranto twitter saying, no, 1318 01:18:20,439 --> 01:18:23,400 Speaker 1: I actually didn't mean it. They don't have a central messenger, 1319 01:18:23,439 --> 01:18:25,320 Speaker 1: they don't have an effective messenger, and they're just not 1320 01:18:25,439 --> 01:18:29,320 Speaker 1: trusted amazingly by average Americans anymore because of all the 1321 01:18:29,479 --> 01:18:32,880 Speaker 1: hypocrisy and all of the contradictions going back and forth. 1322 01:18:33,479 --> 01:18:36,280 Speaker 1: Quick break more with Mark Simone and Joe Concho on 1323 01:18:36,320 --> 01:18:38,080 Speaker 1: the other side, and we'll get to your calls. Listen, 1324 01:18:38,280 --> 01:18:40,920 Speaker 1: all of us. Every single day we're putting our personal 1325 01:18:40,960 --> 01:18:44,240 Speaker 1: information at risk on the Internet and a second, your 1326 01:18:44,280 --> 01:18:48,000 Speaker 1: good name, your reputation, your finances, your credit score can 1327 01:18:48,040 --> 01:18:52,000 Speaker 1: be destroyed by these cyber criminals. Now remember when you're 1328 01:18:52,240 --> 01:18:54,800 Speaker 1: on the road this summer, keeping your devices up to 1329 01:18:54,960 --> 01:18:58,919 Speaker 1: date with the latest security patches and changing passwords, avoiding 1330 01:18:59,000 --> 01:19:03,600 Speaker 1: public WiFi. That can help protect your identity. Now LifeLock 1331 01:19:03,720 --> 01:19:07,960 Speaker 1: dot com very inexpensive, low rate LifeLock by Norton. They 1332 01:19:08,080 --> 01:19:10,280 Speaker 1: detect the threat you'll miss on your own. They'll scour 1333 01:19:10,439 --> 01:19:12,479 Speaker 1: the dark web for you to see if your personal 1334 01:19:12,560 --> 01:19:16,120 Speaker 1: information is compromised and maybe for sale. If your identity 1335 01:19:16,200 --> 01:19:20,040 Speaker 1: is stolen, you get a dedicated restoration specialist that'll fix 1336 01:19:20,120 --> 01:19:22,920 Speaker 1: it for you, all right. On an addition to their 1337 01:19:22,960 --> 01:19:25,840 Speaker 1: low annual rate today, you save an additional twenty five percent. 1338 01:19:26,120 --> 01:19:29,160 Speaker 1: But if you want to protect your good name, your reputation, 1339 01:19:29,320 --> 01:19:32,760 Speaker 1: your finances, and your credit score, either call LifeLock at 1340 01:19:32,840 --> 01:19:35,400 Speaker 1: one eight hundred LifeLock or go to the weblifelock dot 1341 01:19:35,479 --> 01:19:38,000 Speaker 1: com save an extra twenty five percent. Use the promo 1342 01:19:38,080 --> 01:19:41,759 Speaker 1: code Hannity one eight hundred LifeLock LifeLock dot com promo 1343 01:19:41,840 --> 01:19:51,120 Speaker 1: code Hannity quick Break will continue fake news still don't 1344 01:19:51,280 --> 01:20:00,320 Speaker 1: find it here on there on seven ten wo all 1345 01:20:00,520 --> 01:20:04,080 Speaker 1: Land Berman and Michael Reidal in the morning sixtel ten 1346 01:20:04,360 --> 01:20:17,640 Speaker 1: tomorrow on seven to ten wo R all right, as 1347 01:20:17,640 --> 01:20:20,280 Speaker 1: we continue, Mark Simone and Joe Contra with us today. 1348 01:20:20,560 --> 01:20:22,920 Speaker 1: Now it's very interesting. So I mentioned this friend of 1349 01:20:23,000 --> 01:20:26,000 Speaker 1: mine who is fully vaccinated, and he goes to the 1350 01:20:26,120 --> 01:20:27,960 Speaker 1: dock in the box place and he gets the test 1351 01:20:28,000 --> 01:20:30,080 Speaker 1: and he gets a positive test. He had symptoms, that's 1352 01:20:30,120 --> 01:20:32,880 Speaker 1: why he went. And you know, he's in a state 1353 01:20:32,920 --> 01:20:36,479 Speaker 1: of shock. He can't believe it. And what I guess, 1354 01:20:37,320 --> 01:20:42,360 Speaker 1: as what I'm concerned about is if these breakthrough cases 1355 01:20:42,439 --> 01:20:45,120 Speaker 1: now come through, I mean I think there's going to 1356 01:20:45,200 --> 01:20:50,160 Speaker 1: be real, real anger among the rightly, so among the 1357 01:20:50,200 --> 01:20:54,200 Speaker 1: American people because they were told with one hundred percent 1358 01:20:54,280 --> 01:20:56,600 Speaker 1: assurance that their life goes back to normal. Now, we 1359 01:20:57,240 --> 01:21:02,280 Speaker 1: gave out the proper efficacy results in phase three clinical trials, 1360 01:21:02,680 --> 01:21:06,240 Speaker 1: but remember it was always it was never fully approved 1361 01:21:06,280 --> 01:21:10,920 Speaker 1: by the FDA. We've got an emergency use authorization mark. Yeah, 1362 01:21:10,960 --> 01:21:13,120 Speaker 1: but you get to remember they always said the vaccines 1363 01:21:13,200 --> 01:21:16,960 Speaker 1: fiser maderna ninety five percent getting a case, which means 1364 01:21:17,000 --> 01:21:20,240 Speaker 1: five percent could and that's eight million people out of 1365 01:21:20,240 --> 01:21:22,479 Speaker 1: one hundred and sixty five million. Eight million people could 1366 01:21:22,479 --> 01:21:25,280 Speaker 1: still get it. So you're going to have that. But 1367 01:21:26,080 --> 01:21:28,599 Speaker 1: it's it's there your mild cases. You see the case 1368 01:21:28,680 --> 01:21:30,439 Speaker 1: rate go up, but you don't see the death rate 1369 01:21:30,520 --> 01:21:32,920 Speaker 1: go up at all among the vaccinated people. That's the 1370 01:21:32,960 --> 01:21:36,439 Speaker 1: most important thing. Okayvin, Now we're dealing with the delta variant. 1371 01:21:36,960 --> 01:21:40,120 Speaker 1: Joe Concha right behind it out of Peru is the 1372 01:21:40,240 --> 01:21:43,479 Speaker 1: lambda variant, and god only knows how many other variants 1373 01:21:43,479 --> 01:21:46,559 Speaker 1: will show up. But it's to me, it's frustrating because 1374 01:21:46,560 --> 01:21:48,280 Speaker 1: it's like just when you think it's over and life's 1375 01:21:48,280 --> 01:21:50,080 Speaker 1: going to get back to normal. Now. Everyone's in a 1376 01:21:50,120 --> 01:21:53,280 Speaker 1: state of panic. And now the government, the CDC with 1377 01:21:53,360 --> 01:21:56,800 Speaker 1: their conflicting messages, it's people. I know they're getting angry 1378 01:21:56,840 --> 01:22:00,080 Speaker 1: about it now, as they should. And look remember for 1379 01:22:00,200 --> 01:22:02,240 Speaker 1: the South African variant, what happened to that, what happened 1380 01:22:02,240 --> 01:22:05,280 Speaker 1: to the Indian variant? Point we see in England right 1381 01:22:05,560 --> 01:22:09,160 Speaker 1: where suddenly cases are down something the depth of variant 1382 01:22:09,200 --> 01:22:11,280 Speaker 1: has just kind of disappeared. So then I look at 1383 01:22:11,320 --> 01:22:13,280 Speaker 1: death toll because I think that's the most important number. 1384 01:22:13,280 --> 01:22:15,879 Speaker 1: I think we focus on cases too much, on particularly 1385 01:22:15,880 --> 01:22:19,520 Speaker 1: with the elderly by and large now protected, the vulnerable protected. 1386 01:22:20,000 --> 01:22:22,200 Speaker 1: July second, in this country, United States, we had four 1387 01:22:22,320 --> 01:22:24,960 Speaker 1: hundred and forty nine new deaths from COVID R COVID 1388 01:22:25,000 --> 01:22:28,519 Speaker 1: related overall. Right. Yesterday August first, we had forty three 1389 01:22:28,600 --> 01:22:30,920 Speaker 1: new deaths all right. So it's not like more people 1390 01:22:30,960 --> 01:22:32,920 Speaker 1: are dying. We're back in that place like in April 1391 01:22:32,960 --> 01:22:35,400 Speaker 1: of twenty twenty, where it's just a horrible situation. There 1392 01:22:35,439 --> 01:22:38,960 Speaker 1: are more cases, there are more variants, but people aren't running, 1393 01:22:38,960 --> 01:22:41,040 Speaker 1: You aren't being put into hospitals. Except for a couple 1394 01:22:41,040 --> 01:22:44,000 Speaker 1: of hotspots down south, and not more people are dying. 1395 01:22:44,040 --> 01:22:46,080 Speaker 1: It's actually less. So what are we talking about here? 1396 01:22:46,760 --> 01:22:50,519 Speaker 1: All right? Great analysis both of you, Mark Simon, thank you, 1397 01:22:51,479 --> 01:22:54,439 Speaker 1: and Joe Concho. We always low having you on. Thank 1398 01:22:54,479 --> 01:22:56,439 Speaker 1: you both. Eight hundred nine four one. Shaun is on 1399 01:22:56,600 --> 01:22:59,960 Speaker 1: number quick break, right back your calls on the other side. 1400 01:23:00,160 --> 01:23:25,759 Speaker 1: Straight to Hunt. Come on, man, it's taken me forty 1401 01:23:25,920 --> 01:23:29,759 Speaker 1: seven years to perfect doing nothing. I had to become 1402 01:23:29,880 --> 01:23:34,000 Speaker 1: president as Joe Yeah, I could do that better than anybody. 1403 01:23:34,360 --> 01:23:39,080 Speaker 1: Joe Biden the most dangerous man in America. This is 1404 01:23:39,160 --> 01:23:42,479 Speaker 1: the Sean Hannity Show, twenty five to the top of 1405 01:23:42,520 --> 01:23:44,840 Speaker 1: the hour. You notice that we know Joe bud Come on, 1406 01:23:45,000 --> 01:23:49,559 Speaker 1: come on man, Jeeves cocaine you you were junkie. Come 1407 01:23:49,600 --> 01:23:51,960 Speaker 1: on man. Then a Hunter said it. Listen to Joe 1408 01:23:52,000 --> 01:23:53,960 Speaker 1: and listen to Hunter. I mean, what is this run 1409 01:23:54,040 --> 01:23:56,760 Speaker 1: in the family? Come on man, Come on man. You 1410 01:23:56,840 --> 01:23:58,880 Speaker 1: seem to have good spirits about you know, this sort 1411 01:23:58,920 --> 01:24:02,120 Speaker 1: of kind of crazy narrative around your your painting, you know, 1412 01:24:02,240 --> 01:24:04,960 Speaker 1: I mean, how do you you know, what's your response 1413 01:24:05,000 --> 01:24:07,600 Speaker 1: to the people who are you know, coming after like 1414 01:24:07,680 --> 01:24:10,919 Speaker 1: the prices of the work or just you know, the collectors. 1415 01:24:11,000 --> 01:24:13,800 Speaker 1: I mean, what's been your response to that other than 1416 01:24:15,680 --> 01:24:18,720 Speaker 1: that's a pretty good response all you need? Yeah? Yeah, Look, man, 1417 01:24:19,080 --> 01:24:21,720 Speaker 1: is this is it? I never said my place is 1418 01:24:21,920 --> 01:24:26,200 Speaker 1: my arms, but it was God caused. I'd be amazed. 1419 01:24:26,800 --> 01:24:29,679 Speaker 1: What is it? Laura, Linda? You get this? I don't 1420 01:24:29,720 --> 01:24:33,519 Speaker 1: get this. Listen, man, doing the best I can here. 1421 01:24:33,960 --> 01:24:38,519 Speaker 1: It's so ridiculous, so ridiculous. Come on, man, you're a junkie. 1422 01:24:38,640 --> 01:24:42,920 Speaker 1: I mean, but please clarify specifically, have you taken a 1423 01:24:43,080 --> 01:24:46,000 Speaker 1: cognitive No, I haven't taken a test. Why the hell 1424 01:24:46,040 --> 01:24:49,400 Speaker 1: would I take a test? Come on, man, that's like 1425 01:24:49,560 --> 01:24:51,760 Speaker 1: saying you before you got in this program, if you're 1426 01:24:51,760 --> 01:24:53,760 Speaker 1: taking a test where you're taking cocaine or not, what 1427 01:24:53,840 --> 01:24:56,640 Speaker 1: do you think? Huh? Are you a jone? It's the 1428 01:24:56,720 --> 01:25:00,800 Speaker 1: mostest this guy, honestly though. I mean, well, I don't 1429 01:25:00,800 --> 01:25:01,920 Speaker 1: know if you got this when you were a kid. 1430 01:25:01,920 --> 01:25:03,639 Speaker 1: If you sound like your dad, but like people will 1431 01:25:03,640 --> 01:25:05,040 Speaker 1: tell me all the time, I talk like my mom. 1432 01:25:05,120 --> 01:25:06,760 Speaker 1: My voice is like my mom. You know my mom? 1433 01:25:06,840 --> 01:25:09,080 Speaker 1: As just as they sound like like I really when 1434 01:25:09,120 --> 01:25:11,439 Speaker 1: he talks, he sounds like his dad, he really does. 1435 01:25:11,520 --> 01:25:14,600 Speaker 1: They sound like Look at it? How we now know 1436 01:25:14,800 --> 01:25:17,479 Speaker 1: that Hunter was paying the bills. We know that Joe 1437 01:25:17,600 --> 01:25:19,639 Speaker 1: lied when he said he never met us. He talked 1438 01:25:19,680 --> 01:25:21,680 Speaker 1: to his son about his foreign business dealing because he 1439 01:25:21,800 --> 01:25:24,640 Speaker 1: was having dinner with them. What are we playing? Uh, 1440 01:25:24,960 --> 01:25:28,080 Speaker 1: you know, word games again? Passing words? You know, it's 1441 01:25:28,120 --> 01:25:31,600 Speaker 1: interesting when people lie. When they lie, they're good at it. 1442 01:25:31,840 --> 01:25:34,160 Speaker 1: They're really good at it, and they perfect it. That's 1443 01:25:34,200 --> 01:25:37,400 Speaker 1: not true though, because my kids used to lie to 1444 01:25:37,600 --> 01:25:39,200 Speaker 1: you know, when they were young, and yeah, but they 1445 01:25:39,200 --> 01:25:41,360 Speaker 1: didn't do it as a profession. These two do it 1446 01:25:41,439 --> 01:25:43,439 Speaker 1: as a profession. It's a life stuff. Why I took 1447 01:25:43,479 --> 01:25:45,479 Speaker 1: such a big stink. My kids would rarely get in 1448 01:25:45,520 --> 01:25:47,559 Speaker 1: trouble for whatever dumb thing they might have done them, 1449 01:25:47,640 --> 01:25:51,240 Speaker 1: you know, stupid stuff. But then if they said, no, Dad, 1450 01:25:51,280 --> 01:25:53,360 Speaker 1: I swear I didn't do it. I did not eat 1451 01:25:53,400 --> 01:25:55,120 Speaker 1: the cookie, and they got cookie all over their face. 1452 01:25:55,200 --> 01:25:58,800 Speaker 1: I'm making it up, I'd say, Okay, now we got 1453 01:25:58,920 --> 01:26:01,320 Speaker 1: to talk about telling the true truth. If you did it, 1454 01:26:01,479 --> 01:26:04,720 Speaker 1: just own it, say you're sorry, apologize. I shouldn't have 1455 01:26:04,760 --> 01:26:07,320 Speaker 1: done it. I did it. And and I used to 1456 01:26:07,360 --> 01:26:10,720 Speaker 1: say to my kids, you're insulting my intelligence. Stop when 1457 01:26:10,760 --> 01:26:14,120 Speaker 1: you know that they're lying. Now Joe Biden has gotten 1458 01:26:14,120 --> 01:26:16,880 Speaker 1: away with it because he's in the Presidential Protection program. 1459 01:26:16,960 --> 01:26:19,080 Speaker 1: They get away with it. I mean with Liam. Did 1460 01:26:19,120 --> 01:26:21,240 Speaker 1: just Liam get more in trouble for whatever thing he did, 1461 01:26:21,320 --> 01:26:23,760 Speaker 1: or if he tries to lie to mommy, Oh yeah, 1462 01:26:23,800 --> 01:26:26,800 Speaker 1: it's always it's always the ladder, o the ladder. And 1463 01:26:26,880 --> 01:26:29,840 Speaker 1: then by the way, they learned quick because you know, 1464 01:26:29,920 --> 01:26:31,960 Speaker 1: as I said told my kids, I said, you guys, 1465 01:26:32,320 --> 01:26:34,800 Speaker 1: try lying, and you're not any good at it. They're 1466 01:26:34,840 --> 01:26:36,680 Speaker 1: just not good at of kids. And it's like you're 1467 01:26:36,680 --> 01:26:39,280 Speaker 1: sitting there like, oh, good grief. You know I did 1468 01:26:39,360 --> 01:26:43,080 Speaker 1: not have the donut they got. You know, they got 1469 01:26:43,120 --> 01:26:45,960 Speaker 1: all that powdered sugar all over their face. I did 1470 01:26:46,000 --> 01:26:49,360 Speaker 1: not eat the powdered sugar donut that I swear, Like, okay, 1471 01:26:49,560 --> 01:26:51,320 Speaker 1: come on, let's go to the mirror and take a look. 1472 01:26:51,400 --> 01:26:55,040 Speaker 1: Stop insulting my intelligence. But they're funny. I mean they're 1473 01:26:55,080 --> 01:26:57,719 Speaker 1: they're definitely dedicated to it. I mean Liam does something 1474 01:26:57,800 --> 01:27:01,160 Speaker 1: really funny, which is I think it's funny. I'm sure 1475 01:27:01,160 --> 01:27:03,240 Speaker 1: a lot of parents could commisser rate. He does this 1476 01:27:03,360 --> 01:27:06,560 Speaker 1: thing where he says, mom, Mom, I did something and 1477 01:27:06,680 --> 01:27:10,880 Speaker 1: you're not gonna like it. That is clever class. And 1478 01:27:10,960 --> 01:27:13,800 Speaker 1: I'm like, my daughter actually did something the other day 1479 01:27:14,080 --> 01:27:17,640 Speaker 1: very similar to it. It was nothing bad, and and 1480 01:27:18,040 --> 01:27:20,439 Speaker 1: she just came right out and said, I know I 1481 01:27:20,479 --> 01:27:22,920 Speaker 1: should have told you. I said, okay, thanks for telling me. 1482 01:27:23,080 --> 01:27:24,960 Speaker 1: That was it. See, but that's half the battle. That's 1483 01:27:24,960 --> 01:27:27,479 Speaker 1: when you're dealing like, that's when they're becoming grown, when 1484 01:27:27,520 --> 01:27:31,760 Speaker 1: they start to own it. Yeah, she's she's there and 1485 01:27:32,680 --> 01:27:36,519 Speaker 1: look and all kids are gonna make mistakes, you know. 1486 01:27:36,640 --> 01:27:38,880 Speaker 1: My The best is I just didn't listen to my 1487 01:27:38,960 --> 01:27:40,920 Speaker 1: parents at all, nor that they know where I was 1488 01:27:41,160 --> 01:27:44,040 Speaker 1: because I was working most nights till three in the morning. 1489 01:27:44,160 --> 01:27:46,519 Speaker 1: And they knew I was working because they saw the money. 1490 01:27:46,520 --> 01:27:48,840 Speaker 1: It was a different time. That was a completely different, 1491 01:27:48,880 --> 01:27:51,519 Speaker 1: so different. And then I became a helicopter parent, right 1492 01:27:52,080 --> 01:27:53,960 Speaker 1: you have to I mean now, I mean I was 1493 01:27:54,000 --> 01:27:55,320 Speaker 1: just saying this the other day. You know, you're in 1494 01:27:55,360 --> 01:27:57,559 Speaker 1: the park with your kids. People are trying to walk 1495 01:27:57,640 --> 01:27:59,200 Speaker 1: up and take kids right out of the parking because 1496 01:27:59,200 --> 01:28:01,160 Speaker 1: everybody's got their head and the dang phone. They're not 1497 01:28:01,240 --> 01:28:04,120 Speaker 1: paying attention to their kids. Pay attention to your children. 1498 01:28:05,760 --> 01:28:07,600 Speaker 1: You want to go through the list. One thing that 1499 01:28:07,640 --> 01:28:10,680 Speaker 1: I've learned in life. I can handle anything. I really can. 1500 01:28:11,000 --> 01:28:13,200 Speaker 1: I don't. Pressure is not a problem for me in 1501 01:28:13,280 --> 01:28:16,200 Speaker 1: my life. Stress not that big a problem. The only 1502 01:28:16,280 --> 01:28:20,080 Speaker 1: thing that I've come to conclude, you know, now that 1503 01:28:20,160 --> 01:28:23,519 Speaker 1: my kids are older, is that you will never ever, ever, ever, 1504 01:28:23,800 --> 01:28:27,880 Speaker 1: ever until the day, hopefully I end up in Jesus's 1505 01:28:28,200 --> 01:28:32,439 Speaker 1: arms and his kingdom, I will never ever stop worrying 1506 01:28:32,479 --> 01:28:36,639 Speaker 1: about my kids. Just it's like, Oh, if I could 1507 01:28:36,680 --> 01:28:38,720 Speaker 1: just get rid of those two things, I don't care 1508 01:28:38,720 --> 01:28:41,720 Speaker 1: about anything else in life. Nothing else really matters. It 1509 01:28:41,920 --> 01:28:45,760 Speaker 1: just doesn't anyway. Laurie is in Oregon. Hey Laurie, how 1510 01:28:45,800 --> 01:28:49,960 Speaker 1: are you glad you called? Good Sean? Thanks for taking 1511 01:28:50,040 --> 01:28:54,479 Speaker 1: my phone call. I was a pediatric nurse for twelve 1512 01:28:54,520 --> 01:29:00,839 Speaker 1: to thirteen years, and you know, some of our children 1513 01:29:02,120 --> 01:29:06,200 Speaker 1: have not been vaccinated against many of the things that 1514 01:29:06,520 --> 01:29:10,720 Speaker 1: could be coming across our boarder. And it occurred to me, 1515 01:29:10,840 --> 01:29:16,639 Speaker 1: why would the administration be so fervent on vaccinating children 1516 01:29:17,479 --> 01:29:21,360 Speaker 1: and making them wear masks when the data justist isn't 1517 01:29:21,439 --> 01:29:25,360 Speaker 1: there to support it. And I think that the plan 1518 01:29:25,600 --> 01:29:30,760 Speaker 1: is to bring these kids into our school systems intermingle them. 1519 01:29:31,600 --> 01:29:34,640 Speaker 1: They can't get them up to date on their vaccinations 1520 01:29:34,760 --> 01:29:38,840 Speaker 1: fast enough because some of the series takes two years. 1521 01:29:40,200 --> 01:29:45,360 Speaker 1: And I think that the reason that they want our 1522 01:29:45,439 --> 01:29:49,880 Speaker 1: children to be vaccinated is to protect them against these 1523 01:29:49,960 --> 01:29:53,560 Speaker 1: other things that are coming in that we may or 1524 01:29:53,640 --> 01:29:57,599 Speaker 1: may not even know about at this point, and they're 1525 01:29:57,640 --> 01:30:01,920 Speaker 1: intermingling with our kids that our parents have opted not 1526 01:30:02,080 --> 01:30:06,560 Speaker 1: to vaccinate some of their kids for various reasons, and 1527 01:30:06,800 --> 01:30:10,439 Speaker 1: they're relying on the herd theory. In other words, they 1528 01:30:10,560 --> 01:30:16,280 Speaker 1: figure her immunity, herd immunity. They figure, well, my child's 1529 01:30:16,320 --> 01:30:18,839 Speaker 1: at risk here. I'm not going to vaccinate him against 1530 01:30:19,280 --> 01:30:22,680 Speaker 1: the measles or the months or rubella. You know, I'm 1531 01:30:22,680 --> 01:30:25,600 Speaker 1: going to opt out of those. But we don't know 1532 01:30:25,760 --> 01:30:28,000 Speaker 1: what's coming in through the border and how they're going 1533 01:30:28,120 --> 01:30:32,680 Speaker 1: to integrate these children. Another thing, Shine, I have other way, 1534 01:30:32,720 --> 01:30:36,600 Speaker 1: there's a very high rate of positive COVID positivity. And 1535 01:30:36,800 --> 01:30:40,519 Speaker 1: how hypocritical that you know, here we are. You know, 1536 01:30:41,280 --> 01:30:43,880 Speaker 1: now we're told you get the vaccine, You're fine, you 1537 01:30:43,960 --> 01:30:46,559 Speaker 1: don't have to mask up. Now you get vaccinated. Now 1538 01:30:46,680 --> 01:30:49,320 Speaker 1: put your mask back on, and now you got to 1539 01:30:49,320 --> 01:30:55,200 Speaker 1: worry about breakthrough COVID positive cases. These variants are not 1540 01:30:55,439 --> 01:30:58,280 Speaker 1: helping and us letting people in that are not tested. 1541 01:30:58,439 --> 01:31:02,519 Speaker 1: Is not helpful at all and quite contradictory. They're going 1542 01:31:02,560 --> 01:31:04,560 Speaker 1: to put all the burdens on the American people, but 1543 01:31:04,960 --> 01:31:09,560 Speaker 1: zero testing of the border. It is beyond frustrating. The 1544 01:31:09,680 --> 01:31:12,280 Speaker 1: other thing shun to take note of, and this is 1545 01:31:12,360 --> 01:31:15,519 Speaker 1: extremely important, is that you'd never get a child a 1546 01:31:15,640 --> 01:31:20,400 Speaker 1: vaccine without an ID cards, without some kind of identification. 1547 01:31:20,760 --> 01:31:25,040 Speaker 1: You would never do that because these series of vaccinations 1548 01:31:25,320 --> 01:31:29,400 Speaker 1: are FDA approved, and so when a child has a 1549 01:31:30,160 --> 01:31:32,519 Speaker 1: reaction to one of them, of course you have to 1550 01:31:32,920 --> 01:31:36,519 Speaker 1: fill out the various information that you can't do that 1551 01:31:36,680 --> 01:31:41,680 Speaker 1: if you don't have accurate tracing of that child. So 1552 01:31:42,000 --> 01:31:44,280 Speaker 1: all of these parents are going to have to have 1553 01:31:44,439 --> 01:31:46,920 Speaker 1: ID cards and the children are going to have to 1554 01:31:47,000 --> 01:31:49,360 Speaker 1: have ID cards. And there's no one in the US 1555 01:31:49,800 --> 01:31:53,360 Speaker 1: that does not have a vaccination record. So this issue 1556 01:31:53,400 --> 01:31:59,519 Speaker 1: about ID cards is just profoundly inaccurate. Well, I gotta 1557 01:31:59,560 --> 01:32:01,439 Speaker 1: tell you, I thank you for being a great nurse. 1558 01:32:01,520 --> 01:32:04,519 Speaker 1: I think it's such a noble profession. It's a hard job, 1559 01:32:04,720 --> 01:32:07,519 Speaker 1: and especially all the nurses that worked in the front 1560 01:32:07,560 --> 01:32:11,960 Speaker 1: lines during this pandemic are all heroes to me. And yeah, 1561 01:32:13,280 --> 01:32:15,320 Speaker 1: I will tell you there's a lot of issues that 1562 01:32:15,479 --> 01:32:17,640 Speaker 1: are coming into play here, and a lot of it 1563 01:32:18,280 --> 01:32:21,040 Speaker 1: is now going to be measured based on you know, 1564 01:32:21,280 --> 01:32:24,360 Speaker 1: they weren't going to force everybody to mandate vaccinations, and 1565 01:32:24,520 --> 01:32:28,639 Speaker 1: now they are. Then the shifting guidelines is driving everybody crazy. 1566 01:32:29,240 --> 01:32:31,400 Speaker 1: Then the you know, then we're told to get the 1567 01:32:31,479 --> 01:32:34,560 Speaker 1: vaccine and you're you're you're good, You're good to go. 1568 01:32:34,760 --> 01:32:37,920 Speaker 1: Now you're not good to go. M It's frustrating, and 1569 01:32:38,360 --> 01:32:43,280 Speaker 1: I share your frustration and every way appreciate the call. Mike, Massachusetts. 1570 01:32:44,760 --> 01:32:47,560 Speaker 1: You've been following what went on in Provincetown. What is 1571 01:32:47,600 --> 01:32:53,760 Speaker 1: the general consensus in the media up there on the Umanuh, Well, 1572 01:32:54,000 --> 01:32:55,680 Speaker 1: you know, there seems to be a big push to 1573 01:32:56,600 --> 01:33:00,120 Speaker 1: probably mask up and a big push from vaccine. And 1574 01:33:00,760 --> 01:33:04,400 Speaker 1: I know in Provincetown though fully seventy four percent of 1575 01:33:04,560 --> 01:33:08,479 Speaker 1: nearly five hundred people recently diagnosed with COVID had been 1576 01:33:08,560 --> 01:33:13,000 Speaker 1: fully vaccinated. Now it's an anomaly, but it's a scary one. 1577 01:33:14,880 --> 01:33:16,800 Speaker 1: I had it back in December, and I have no 1578 01:33:16,920 --> 01:33:19,559 Speaker 1: interest to get it because there's been so much mixed 1579 01:33:19,600 --> 01:33:25,320 Speaker 1: information coming from the CDC. And like you said, there's 1580 01:33:26,360 --> 01:33:29,840 Speaker 1: there's people vaccinated getting it, and what's the push to 1581 01:33:29,920 --> 01:33:33,000 Speaker 1: get it. If we don't have a good solution yet, 1582 01:33:34,520 --> 01:33:38,160 Speaker 1: everybody's losing trust in it's in the CDC, in the government, 1583 01:33:38,400 --> 01:33:41,599 Speaker 1: and I think it's gonna get worse for them. Um, 1584 01:33:41,840 --> 01:33:43,960 Speaker 1: you know, can I just put something on top of 1585 01:33:44,080 --> 01:33:45,960 Speaker 1: what you just said there, because I don't know if 1586 01:33:46,000 --> 01:33:50,240 Speaker 1: you know how profound what you said is. I keep 1587 01:33:50,360 --> 01:33:53,920 Speaker 1: telling this audience because I love my audience. You give 1588 01:33:53,960 --> 01:33:58,280 Speaker 1: me this microphone every day. Do not ever think that 1589 01:33:58,439 --> 01:34:01,600 Speaker 1: the government is going to fulfill their phony promises to you. 1590 01:34:02,400 --> 01:34:05,320 Speaker 1: I don't. I just don't. I don't put my trust. 1591 01:34:05,680 --> 01:34:09,720 Speaker 1: That means with your healthcare, your savings, your retirement, you've 1592 01:34:09,800 --> 01:34:14,720 Speaker 1: got to understand that to the extent that you were 1593 01:34:14,800 --> 01:34:20,240 Speaker 1: able to accumulate more money so that you can bypass 1594 01:34:20,600 --> 01:34:24,520 Speaker 1: whatever system they're offering that may not wait, that absolutely 1595 01:34:24,600 --> 01:34:27,439 Speaker 1: will be inferior, the better you're going to be. And 1596 01:34:27,840 --> 01:34:31,200 Speaker 1: and money is freedom in that sense. And I just 1597 01:34:31,280 --> 01:34:33,880 Speaker 1: say it, don't don't expect these promises to always be 1598 01:34:33,960 --> 01:34:39,840 Speaker 1: fulfilled because they're not gonna the same people telling the panic, 1599 01:34:40,000 --> 01:34:43,400 Speaker 1: selling the panic, or selling the cure. Yeah, well, scary 1600 01:34:43,560 --> 01:34:46,560 Speaker 1: scary times. Mike god Blush a Man Shane and Colorado 1601 01:34:46,600 --> 01:34:49,960 Speaker 1: what's up, Shane. That's when UM the CDC and doctor 1602 01:34:50,000 --> 01:34:54,479 Speaker 1: Fauchi told everyone that there's no need for face masks. 1603 01:34:54,560 --> 01:34:59,120 Speaker 1: Bauchi said that face masks might catch a viral particle, 1604 01:34:59,400 --> 01:35:02,280 Speaker 1: but they're none. He called it one droplet in March 1605 01:35:02,360 --> 01:35:05,760 Speaker 1: of twenty twenty one, sixty minutes yo, yep. And so 1606 01:35:06,439 --> 01:35:10,519 Speaker 1: when they did come out with the recommendation for wearing 1607 01:35:10,600 --> 01:35:12,240 Speaker 1: face masks, I went ahead and did a little bit 1608 01:35:12,240 --> 01:35:16,080 Speaker 1: of research, and I went to a couple of websites 1609 01:35:16,400 --> 01:35:22,280 Speaker 1: of companies who do plorosity tests on textiles to see 1610 01:35:22,360 --> 01:35:26,000 Speaker 1: what the air gap between fibers were in some of 1611 01:35:26,040 --> 01:35:30,400 Speaker 1: these masks that everybody started wearing back then. And I 1612 01:35:30,640 --> 01:35:35,080 Speaker 1: was shocked to find that these are dust masks that 1613 01:35:35,200 --> 01:35:39,960 Speaker 1: we're wearing. They're not biological masks. They're not bio masks. 1614 01:35:41,840 --> 01:35:47,360 Speaker 1: The type of masks that we're wearing. On these plorosity websites, again, 1615 01:35:47,640 --> 01:35:50,080 Speaker 1: they study this, that's and publish it. That's what they 1616 01:35:50,160 --> 01:35:54,040 Speaker 1: do for a living. The air gap between the fibers 1617 01:35:54,080 --> 01:35:57,400 Speaker 1: with eight micromes on average for the types of masks 1618 01:35:57,479 --> 01:36:00,360 Speaker 1: that we're wearing nowadays. And we're back then, are you 1619 01:36:00,479 --> 01:36:03,360 Speaker 1: talking even about the n ninety five masks that everyone 1620 01:36:03,439 --> 01:36:07,040 Speaker 1: said was the ideal one to wear. Nope, not even 1621 01:36:07,080 --> 01:36:10,639 Speaker 1: the n ninety five. The ninety five is a different story. 1622 01:36:10,720 --> 01:36:14,439 Speaker 1: Which those weren't available then and they're not as available now, 1623 01:36:14,640 --> 01:36:19,759 Speaker 1: and those are not anti viral masks, those are antibacterial masks. 1624 01:36:20,720 --> 01:36:23,600 Speaker 1: But again it's a different listen. I'll be honest, I 1625 01:36:23,720 --> 01:36:27,880 Speaker 1: don't know enough about the specific of the mask and 1626 01:36:28,400 --> 01:36:31,479 Speaker 1: the virus and the penetration. You're basically saying that Fauci 1627 01:36:31,640 --> 01:36:34,280 Speaker 1: was right in March of twenty twenty and that they 1628 01:36:34,280 --> 01:36:38,240 Speaker 1: wouldn't really provide any any good. I don't like it 1629 01:36:38,640 --> 01:36:40,880 Speaker 1: as long as children. Up to this point. The one 1630 01:36:40,920 --> 01:36:43,200 Speaker 1: thing that has remained constant if you're older, of pre 1631 01:36:43,320 --> 01:36:48,760 Speaker 1: existing conditions, comorbidities, weakened immune systems or immuno issues, that 1632 01:36:48,920 --> 01:36:52,040 Speaker 1: you are more vulnerable, and being overweight if you're more vulnerable. 1633 01:36:52,439 --> 01:36:54,800 Speaker 1: The good news was has always been young people have 1634 01:36:55,000 --> 01:36:59,839 Speaker 1: not been as susceptible to any of the horrible effects 1635 01:37:00,000 --> 01:37:03,800 Speaker 1: a coronavirus. You know, they can ravage older people. Now 1636 01:37:03,960 --> 01:37:06,600 Speaker 1: the numbers seem to be getting younger in terms of 1637 01:37:06,680 --> 01:37:10,240 Speaker 1: people contracting the virus at younger ages, with maybe more 1638 01:37:10,280 --> 01:37:13,280 Speaker 1: a little more severe symptoms, but it mostly is held true, 1639 01:37:13,880 --> 01:37:15,800 Speaker 1: which then raises the question, well, why are you going 1640 01:37:15,880 --> 01:37:18,600 Speaker 1: to mask these kids up in school when for a 1641 01:37:18,680 --> 01:37:21,400 Speaker 1: full year in Florida they had no masks in school? 1642 01:37:21,600 --> 01:37:24,120 Speaker 1: And De Santa said, no, I'm not doing it, and 1643 01:37:24,240 --> 01:37:26,519 Speaker 1: so did Greg Abbott. Nope, we're not doing it either. 1644 01:37:26,880 --> 01:37:28,840 Speaker 1: You know, all these governors have said, we've just had 1645 01:37:28,880 --> 01:37:33,840 Speaker 1: it with your you know, constant, never ending, shifting guidelines. 1646 01:37:34,880 --> 01:37:39,160 Speaker 1: They have created incredible confusion. They have been wrong again 1647 01:37:39,240 --> 01:37:42,960 Speaker 1: and again, and everybody at this point has a right 1648 01:37:43,080 --> 01:37:47,360 Speaker 1: to be frustrated because they've been so wrong so often. 1649 01:37:47,640 --> 01:37:52,480 Speaker 1: And Fauci the leading you know, purveyor of fake information 1650 01:37:52,880 --> 01:37:56,280 Speaker 1: out there, as far as I'm concerned, and frankly, he 1651 01:37:56,439 --> 01:37:59,160 Speaker 1: knew more in January of twenty twenty than he let 1652 01:37:59,240 --> 01:38:01,320 Speaker 1: on that we know from his own emails, and then 1653 01:38:01,400 --> 01:38:09,080 Speaker 1: February and March at twenty twenty, the left wants to 1654 01:38:09,360 --> 01:38:14,120 Speaker 1: silence Hannity. Don't let it happen. Make the commitment now 1655 01:38:14,479 --> 01:38:19,000 Speaker 1: three hours every day at three pm. This is the 1656 01:38:19,200 --> 01:38:22,559 Speaker 1: Sean Hannity Show. All right, that's gonna wrap things up 1657 01:38:22,560 --> 01:38:26,439 Speaker 1: at today, all right, what are these breakthrough cases? Biden 1658 01:38:26,520 --> 01:38:29,479 Speaker 1: thinks he can control the media and says they're they're 1659 01:38:30,040 --> 01:38:34,879 Speaker 1: they're hyping facts or profit. Really, let's see how compliant 1660 01:38:34,920 --> 01:38:38,040 Speaker 1: the mob is anyway. Kaylee mcinety, New king Ridge, doctor 1661 01:38:38,320 --> 01:38:41,040 Speaker 1: Nicole Sapphire, doctor f Reed, who was on the program 1662 01:38:41,120 --> 01:38:44,800 Speaker 1: earlier today. Mike McCall on the origins of Wuhan. He said, 1663 01:38:44,840 --> 01:38:48,160 Speaker 1: the worst scandal in history. Mike Pompeo, Governor Greg Abbott, 1664 01:38:48,240 --> 01:38:51,880 Speaker 1: nine Eastern Hannity, Foxy. Then thanks for being with us. 1665 01:38:51,960 --> 01:38:52,639 Speaker 1: Back here tomorrow.