1 00:00:00,520 --> 00:00:03,040 Speaker 1: Right our two Sean Hannity's show Toll Free. It's eight 2 00:00:03,080 --> 00:00:04,840 Speaker 1: hundred and nine for one Sean if you want to 3 00:00:04,840 --> 00:00:07,320 Speaker 1: be a part of the program. We are now up 4 00:00:07,360 --> 00:00:11,120 Speaker 1: to Twitter file dump number five, and there's a lot 5 00:00:11,119 --> 00:00:14,120 Speaker 1: of things that we're learning that are not necessarily even 6 00:00:14,160 --> 00:00:19,680 Speaker 1: political or involving election interference or banning shadow banning, or 7 00:00:19,720 --> 00:00:23,079 Speaker 1: banning Donald Trump from being on Twitter. We're also learning 8 00:00:23,440 --> 00:00:29,400 Speaker 1: that information regarding your own health was also censored by Twitter. 9 00:00:29,760 --> 00:00:32,040 Speaker 1: But when it came to all things doctor Fauci, who 10 00:00:32,040 --> 00:00:35,640 Speaker 1: has been wrong about everything, there was no such standards 11 00:00:35,680 --> 00:00:38,639 Speaker 1: applied to him. You know. For example, in the absence 12 00:00:38,640 --> 00:00:43,480 Speaker 1: of vaccinations, lockdowns were necessary. Listen, could we have been 13 00:00:43,560 --> 00:00:47,360 Speaker 1: less restrictive about schools and less restrictive about closing down 14 00:00:47,400 --> 00:00:51,080 Speaker 1: the economy and focused if not from the very start 15 00:00:51,600 --> 00:00:55,720 Speaker 1: earlier on on the elderlye you know, in the absence 16 00:00:55,760 --> 00:00:58,480 Speaker 1: of vaccination, that would have been very difficult to do. 17 00:00:59,000 --> 00:01:01,960 Speaker 1: But right now that you have the ability to vaccinate people, 18 00:01:02,080 --> 00:01:05,080 Speaker 1: you can actually clearly be much more liberal and open 19 00:01:05,120 --> 00:01:07,520 Speaker 1: in what we're doing, which is where we are really 20 00:01:07,600 --> 00:01:10,960 Speaker 1: right now. But in the very beginning, when essentially everyone 21 00:01:11,120 --> 00:01:13,319 Speaker 1: was at risk of infection, you can pass it on 22 00:01:13,360 --> 00:01:17,600 Speaker 1: to someone else inadvertently, innocently and have that person suffer 23 00:01:17,640 --> 00:01:20,560 Speaker 1: a dire consequence. So when you're dealing in the beginning, 24 00:01:20,959 --> 00:01:23,440 Speaker 1: it was like a tsunami that you needed to shut 25 00:01:23,480 --> 00:01:26,319 Speaker 1: off quickly and then open up as quickly as you 26 00:01:26,360 --> 00:01:29,840 Speaker 1: possibly can. Remember, this is the same doctor Fauci that 27 00:01:29,880 --> 00:01:33,520 Speaker 1: claimed if you got vaccinated, you wouldn't get COVID. Joe 28 00:01:33,560 --> 00:01:37,280 Speaker 1: Biden made the same claim. Now we're at one vaccination, 29 00:01:37,360 --> 00:01:40,760 Speaker 1: two vaccinations, one booster, two boosters. I think we're now 30 00:01:40,840 --> 00:01:43,480 Speaker 1: up to like booster number five. You know, this is 31 00:01:43,480 --> 00:01:46,160 Speaker 1: the same Fauci that talked about, oh, masks don't work. 32 00:01:46,280 --> 00:01:51,120 Speaker 1: One mask, two masks, three masks, masks in perpetuity. I mean, 33 00:01:51,160 --> 00:01:54,440 Speaker 1: he just he was wrong on everything. Anyway, listen, I 34 00:01:54,480 --> 00:01:57,680 Speaker 1: wonder if you would recommend locking down schools if you 35 00:01:57,720 --> 00:02:01,080 Speaker 1: had to do it all over again. Well, you know again, 36 00:02:01,280 --> 00:02:04,160 Speaker 1: it's first of all, I didn't recommend locking anything down. 37 00:02:04,200 --> 00:02:07,680 Speaker 1: You're you're asking the questings you're talking about. The CDC 38 00:02:07,920 --> 00:02:11,840 Speaker 1: is the public health agency that uses their epidemiologists and 39 00:02:11,919 --> 00:02:16,919 Speaker 1: their science based approach to make recommendations. It was a 40 00:02:16,919 --> 00:02:20,400 Speaker 1: decision to make a recommendation to the president. It wasn't 41 00:02:20,440 --> 00:02:24,120 Speaker 1: my decision that I could implement. And when it became 42 00:02:24,200 --> 00:02:30,880 Speaker 1: clear that when we had community spread in the country, 43 00:02:31,040 --> 00:02:34,120 Speaker 1: with a few cases of community spread, this was way 44 00:02:34,200 --> 00:02:37,560 Speaker 1: before there was a major explosion like we saw in 45 00:02:37,560 --> 00:02:41,960 Speaker 1: the northeastern Klorida driven by New York City metropolitan area, 46 00:02:42,200 --> 00:02:46,160 Speaker 1: I recommended to the President that we shut the country down. 47 00:02:46,800 --> 00:02:49,240 Speaker 1: Shut the country down. That's okay to put on Twitter. 48 00:02:49,320 --> 00:02:53,840 Speaker 1: Barry Weiss involved in this Twitter file release. Joining us 49 00:02:53,880 --> 00:02:57,240 Speaker 1: with reaction to this is doctor Brian Tyson. He's the 50 00:02:57,280 --> 00:03:01,720 Speaker 1: co author of Overcoming the COVID Darkness. Two doctors successfully 51 00:03:01,760 --> 00:03:06,400 Speaker 1: treated seven thousand patients. Doctor Tyson, great to have you back. 52 00:03:06,400 --> 00:03:09,239 Speaker 1: How are you, sir, good Sean, thanks for having me back. 53 00:03:09,280 --> 00:03:11,080 Speaker 1: It's been a while. And you know, one of the 54 00:03:11,080 --> 00:03:14,320 Speaker 1: biggest differences between say you and doctor Fauci is you 55 00:03:14,360 --> 00:03:17,200 Speaker 1: were on the front lines from day one and you 56 00:03:17,240 --> 00:03:21,040 Speaker 1: were treating patients, not with the army you wish you 57 00:03:21,120 --> 00:03:24,320 Speaker 1: had medically, but the one you had, and you did 58 00:03:24,320 --> 00:03:29,640 Speaker 1: so successfully, very successfully, and people did not want to 59 00:03:29,680 --> 00:03:31,960 Speaker 1: hear from you. And then when they did hear from you, 60 00:03:32,400 --> 00:03:37,560 Speaker 1: because it wasn't doctor Fauci, related or NIH related. You know, 61 00:03:37,600 --> 00:03:40,960 Speaker 1: people wanted to silence you, shut you down, and tell 62 00:03:41,000 --> 00:03:44,440 Speaker 1: people not to listen to you. That's correct, and it was. 63 00:03:44,600 --> 00:03:48,240 Speaker 1: It was quite unimaginable, honestly when when we were going 64 00:03:48,280 --> 00:03:52,680 Speaker 1: through this. Now, let me remind your viewers, the State 65 00:03:52,720 --> 00:03:56,120 Speaker 1: of California was in my clinic for two years during 66 00:03:56,160 --> 00:04:00,800 Speaker 1: COVID for two years. We have one of the largest 67 00:04:00,920 --> 00:04:04,960 Speaker 1: databases in the United States with now over twenty thousand 68 00:04:05,000 --> 00:04:09,400 Speaker 1: patients that the State of California has access too at 69 00:04:09,440 --> 00:04:11,520 Speaker 1: any time they want if they want to look at 70 00:04:11,520 --> 00:04:13,960 Speaker 1: the treatment data, they want to look at the reinfection 71 00:04:14,040 --> 00:04:15,880 Speaker 1: rate data, they want to look at the vaccine data, 72 00:04:15,920 --> 00:04:18,640 Speaker 1: they want to look at demographics, who got COVID, who 73 00:04:18,640 --> 00:04:20,840 Speaker 1: didn't get COVID, all of the things that we've been 74 00:04:20,839 --> 00:04:24,039 Speaker 1: we've been keeping track of this whole time. They did 75 00:04:24,120 --> 00:04:28,800 Speaker 1: not want the information that could have been life saving 76 00:04:28,920 --> 00:04:31,919 Speaker 1: and the most valuable information, which was our treatment data. 77 00:04:32,200 --> 00:04:37,040 Speaker 1: That in telling the world about our treatment data, got 78 00:04:37,040 --> 00:04:40,440 Speaker 1: me banned on Facebook, got me banned on Twitter, got 79 00:04:40,480 --> 00:04:45,719 Speaker 1: me you know, basically ousted in the media YouTube channel 80 00:04:45,760 --> 00:04:49,880 Speaker 1: for shutdown from one American news who were doing interviews. 81 00:04:50,480 --> 00:04:54,719 Speaker 1: We were d platformed on any sort of interview that 82 00:04:54,839 --> 00:04:58,640 Speaker 1: we did that got published on either YouTube, Google searches 83 00:04:59,000 --> 00:05:04,320 Speaker 1: basically destroy at our name and hid the search results. 84 00:05:04,120 --> 00:05:07,000 Speaker 1: It's it's amazing what's been going on these last three years. 85 00:05:08,000 --> 00:05:11,960 Speaker 1: I listened to people even to this day. For example, 86 00:05:12,000 --> 00:05:14,719 Speaker 1: I'll see people in a car alone with a mask on. 87 00:05:15,279 --> 00:05:18,480 Speaker 1: I'll see people outside with a mask on, and I'm 88 00:05:18,480 --> 00:05:20,960 Speaker 1: looking at these people and I'm like, you know, what, 89 00:05:20,960 --> 00:05:23,359 Speaker 1: what part of the science are you're not listening to 90 00:05:23,440 --> 00:05:26,559 Speaker 1: at this point? Because pretty much everything that they told 91 00:05:26,640 --> 00:05:28,880 Speaker 1: us if you got a vaccine, you're not going to 92 00:05:28,960 --> 00:05:31,360 Speaker 1: get COVID turned out not to be true. If you 93 00:05:31,440 --> 00:05:34,400 Speaker 1: get boosted, the odds are much lower that you're gonna, 94 00:05:34,480 --> 00:05:37,560 Speaker 1: you know, be hospitalized, that you're going to die from this, 95 00:05:38,760 --> 00:05:41,720 Speaker 1: or that you're even going to get or contract COVID 96 00:05:41,880 --> 00:05:44,160 Speaker 1: or for the second time or maybe even the third time. 97 00:05:44,560 --> 00:05:46,800 Speaker 1: I can't tell you how many people I know that 98 00:05:47,000 --> 00:05:50,919 Speaker 1: got their their COVID booster and three weeks later, guess what, 99 00:05:51,080 --> 00:05:54,440 Speaker 1: they're positive again? Yeah, And what's that goes along with 100 00:05:54,440 --> 00:05:57,039 Speaker 1: what we're seeing in clinic. Now you know, the data 101 00:05:57,240 --> 00:06:01,039 Speaker 1: is crystal clear. It does not prevent you from getting COVID. 102 00:06:01,040 --> 00:06:04,440 Speaker 1: It does not prevent you from spreading COVID. I think 103 00:06:04,520 --> 00:06:07,120 Speaker 1: last month was the first month now that there are 104 00:06:07,240 --> 00:06:11,360 Speaker 1: more mortalities in the vaccinated group than the unvaccinated group. 105 00:06:12,040 --> 00:06:15,960 Speaker 1: So it clearly doesn't prevent hospitalization and death anymore. So 106 00:06:16,040 --> 00:06:20,200 Speaker 1: you know where we went and where we're going. We 107 00:06:20,279 --> 00:06:22,880 Speaker 1: have to be able to have conversations. When you look 108 00:06:22,880 --> 00:06:26,040 Speaker 1: at what Ron Johnson just did last week in the 109 00:06:26,160 --> 00:06:28,480 Speaker 1: US Senate, we need to be able to have more 110 00:06:28,480 --> 00:06:31,080 Speaker 1: open conversations and some people need to be held accountable. 111 00:06:32,000 --> 00:06:34,520 Speaker 1: Well that I would agree with as well. Let me 112 00:06:34,560 --> 00:06:39,440 Speaker 1: ask you, because we are talking still about a virus 113 00:06:39,880 --> 00:06:44,159 Speaker 1: and viruses, you get different variants, you get mutations that 114 00:06:44,240 --> 00:06:47,200 Speaker 1: take place. Where do you see COVID going now in 115 00:06:47,200 --> 00:06:49,240 Speaker 1: the future as we now I think are on like 116 00:06:49,400 --> 00:06:55,200 Speaker 1: version six of amicron. So the good news in majority 117 00:06:55,200 --> 00:06:59,400 Speaker 1: of it is the virus is becoming less potent, more continuous, 118 00:06:59,400 --> 00:07:01,680 Speaker 1: but less and it's becoming more of a head cold 119 00:07:02,600 --> 00:07:05,880 Speaker 1: at this point in time. The worry though, is if 120 00:07:05,920 --> 00:07:10,640 Speaker 1: we continue to vaccinate through and we continue to create 121 00:07:10,800 --> 00:07:16,600 Speaker 1: variants that at some point one of these variants could 122 00:07:16,640 --> 00:07:21,520 Speaker 1: become more lethal than it is at this current time. 123 00:07:22,480 --> 00:07:25,680 Speaker 1: The good news as well, is the standard protocol and 124 00:07:25,720 --> 00:07:29,640 Speaker 1: the treatment and our treatment that we've been using is 125 00:07:29,800 --> 00:07:33,840 Speaker 1: still seem to be highly effective. What was disconcerning was 126 00:07:33,960 --> 00:07:38,520 Speaker 1: they got rid of the monoclono anibody treatments when the 127 00:07:38,720 --> 00:07:44,120 Speaker 1: omicron variant became greater than fifty percent, so the other 128 00:07:44,320 --> 00:07:46,360 Speaker 1: less than fifty percent, and it could have been forty 129 00:07:46,400 --> 00:07:49,240 Speaker 1: nine forty five percent that could have benefited from the 130 00:07:49,280 --> 00:07:52,160 Speaker 1: monoclone lanibody can no longer get it because they pulled 131 00:07:52,200 --> 00:07:55,640 Speaker 1: emergency use authorization from it. And we were using monoclonal 132 00:07:55,640 --> 00:07:59,119 Speaker 1: antibodies and our clinic probably anywhere from ten to twelve 133 00:07:59,200 --> 00:08:02,640 Speaker 1: times a day for the elderly and those who were 134 00:08:02,720 --> 00:08:07,080 Speaker 1: highly susceptible to it, and that was basically taken away 135 00:08:07,120 --> 00:08:11,440 Speaker 1: from us with no explanation. And that's another concern that 136 00:08:11,520 --> 00:08:14,320 Speaker 1: I have is who's making these decisions and why are 137 00:08:14,320 --> 00:08:16,720 Speaker 1: they not talking to the doctors who are still treating 138 00:08:16,720 --> 00:08:21,000 Speaker 1: COVID nineteen well, And they had varying monoclonal line of 139 00:08:21,000 --> 00:08:25,880 Speaker 1: bodies available for the different variants of COVID for omicron rather, 140 00:08:26,080 --> 00:08:29,960 Speaker 1: and yet they just stopped making it and producing it. 141 00:08:30,000 --> 00:08:33,680 Speaker 1: Wasn't that the sort of gold standard therapeutic of all 142 00:08:33,720 --> 00:08:37,040 Speaker 1: the best one that was out there. It was and 143 00:08:37,080 --> 00:08:40,400 Speaker 1: they continuously were revamping it and rechanging it, and it 144 00:08:40,480 --> 00:08:43,520 Speaker 1: was highly highly effective. I had ninety year old patients 145 00:08:43,600 --> 00:08:46,319 Speaker 1: coming in, they were really sick with COVID. We gave 146 00:08:46,440 --> 00:08:48,280 Speaker 1: them the monoclon a line of body treatment and two 147 00:08:48,360 --> 00:08:51,280 Speaker 1: days later, the fevers are gone, They're feeling better, and 148 00:08:52,080 --> 00:08:55,000 Speaker 1: they were, you know, living their lives. That was just 149 00:08:55,080 --> 00:08:58,160 Speaker 1: taken from us, just because the variant that they say 150 00:08:58,320 --> 00:09:00,959 Speaker 1: is changing is no longer susceptible to it, but we're 151 00:09:01,000 --> 00:09:03,600 Speaker 1: still seeing that variant. Yeah, there's a new variant out 152 00:09:03,640 --> 00:09:06,360 Speaker 1: there and it may not be as responsive, but we're 153 00:09:06,360 --> 00:09:09,679 Speaker 1: still seeing the old variants that are still in the community. 154 00:09:10,160 --> 00:09:14,080 Speaker 1: Let us providers make those decisions. Why the CDC and 155 00:09:14,160 --> 00:09:17,239 Speaker 1: the NIH and the FDA are getting involved with things 156 00:09:17,280 --> 00:09:22,040 Speaker 1: that they know nothing about. They do not see patients, 157 00:09:22,080 --> 00:09:25,800 Speaker 1: they're not in clinics, they're not treating patients, So why 158 00:09:25,840 --> 00:09:29,400 Speaker 1: are they tying our hands. I don't understand it. It's 159 00:09:29,400 --> 00:09:33,040 Speaker 1: been going on for three years now and we've never 160 00:09:33,080 --> 00:09:36,560 Speaker 1: seen this in any other disease, any other disease. They 161 00:09:36,559 --> 00:09:40,000 Speaker 1: don't tell oncologists how to treat cancer. They don't tell 162 00:09:40,120 --> 00:09:43,280 Speaker 1: cardiologists how to treat heart attacks. Why are they telling 163 00:09:43,360 --> 00:09:46,319 Speaker 1: us how to treat COVID? Quick break right back more 164 00:09:46,360 --> 00:09:49,719 Speaker 1: with doctor Brian Tyson, co author of the book Overcoming 165 00:09:49,760 --> 00:09:55,200 Speaker 1: the COVID Darkness, How two doctors successfully treated seven thousand patients. Hey, 166 00:09:55,200 --> 00:09:57,480 Speaker 1: our friends at the tunnel of the Towers Foundation. They're 167 00:09:57,520 --> 00:10:01,000 Speaker 1: building their Doo Good Village. This one is in Land, Florida. 168 00:10:01,080 --> 00:10:04,200 Speaker 1: Now they're doing even more for their program recipients. And 169 00:10:04,280 --> 00:10:08,640 Speaker 1: it's all thanks to an extraordinary donation of many, many 170 00:10:08,679 --> 00:10:12,360 Speaker 1: acres of land, and your kindness and your generosity. It's 171 00:10:12,400 --> 00:10:15,400 Speaker 1: the first of a kind. It's a community of one 172 00:10:15,480 --> 00:10:18,400 Speaker 1: hundred and ten homes for the foundations recipients, families of 173 00:10:18,480 --> 00:10:22,000 Speaker 1: the fallen first responders and gold Star families, families of 174 00:10:22,120 --> 00:10:26,559 Speaker 1: catastrophically injured first responders, service members, all in one community 175 00:10:26,640 --> 00:10:29,959 Speaker 1: as neighbors. Their kids grow up together, that they play together, 176 00:10:30,280 --> 00:10:33,360 Speaker 1: loving families that are there for one another in good 177 00:10:33,360 --> 00:10:36,560 Speaker 1: times and bad times. And you can help America's greatest 178 00:10:36,600 --> 00:10:39,840 Speaker 1: heroes and their families all healed together. And hopefully we 179 00:10:39,880 --> 00:10:42,080 Speaker 1: can make the Do Good Village the first of many 180 00:10:42,280 --> 00:10:45,480 Speaker 1: communities like it. Across the country, and with every mortgage 181 00:10:45,520 --> 00:10:47,840 Speaker 1: free home, the foundation makes good on their promise to 182 00:10:47,920 --> 00:10:51,959 Speaker 1: do good and never forget the sacrifices our nation's greatest 183 00:10:52,000 --> 00:10:55,640 Speaker 1: heroes have made for our country and our communities. They're 184 00:10:55,640 --> 00:10:58,800 Speaker 1: asking all of us and everybody here at Team Hannity 185 00:10:58,880 --> 00:11:02,400 Speaker 1: is involved, to eleven bucks a month go to their website, 186 00:11:02,440 --> 00:11:05,240 Speaker 1: the letter T the number two, the letter T dot org. 187 00:11:05,240 --> 00:11:08,199 Speaker 1: The letter T the number two, the letter T dot 188 00:11:08,320 --> 00:11:17,079 Speaker 1: org for the Tunnel to Towers Foundation. We're in fake 189 00:11:17,240 --> 00:11:23,800 Speaker 1: news gives you lies, any supplies the truth. John Annity 190 00:11:24,000 --> 00:11:30,640 Speaker 1: is on right now. I continue with doctor Brian Tyson. 191 00:11:30,679 --> 00:11:33,320 Speaker 1: He wrote the book Overcoming the COVID Darkness, How two 192 00:11:33,360 --> 00:11:37,120 Speaker 1: doctors successfully treated seven thousand patients. And of course he's 193 00:11:37,160 --> 00:11:40,360 Speaker 1: part of the band lists on Twitter and his information 194 00:11:40,480 --> 00:11:43,240 Speaker 1: was being censored, but of course nobody knew it at 195 00:11:43,240 --> 00:11:45,840 Speaker 1: the time. What do you think of pax levit? And 196 00:11:45,880 --> 00:11:48,920 Speaker 1: I'm asking you this question because it seems to now 197 00:11:48,960 --> 00:11:53,040 Speaker 1: be the only therapeutic that is approved by the government, 198 00:11:53,520 --> 00:11:58,400 Speaker 1: and I know many people that have used pax lvit successfully. However, 199 00:11:58,600 --> 00:12:02,400 Speaker 1: about twenty five and this was the case with doctor 200 00:12:02,440 --> 00:12:05,160 Speaker 1: Fauci himself, this was the case with Joe Biden. This 201 00:12:05,400 --> 00:12:08,559 Speaker 1: was the case with Jill Biden in about twenty five 202 00:12:08,600 --> 00:12:11,520 Speaker 1: percent of cases. Correct me if I'm wrong. We're seeing 203 00:12:11,559 --> 00:12:14,839 Speaker 1: what's known as rebound covid. In other words, they'll take 204 00:12:14,880 --> 00:12:18,200 Speaker 1: the packs of it, they'll finish their run, they'll test negative, 205 00:12:18,480 --> 00:12:22,280 Speaker 1: and five, six, seven days later they test positive again. Yeah, 206 00:12:22,280 --> 00:12:24,160 Speaker 1: you're correct with that, And it is about twenty to 207 00:12:24,240 --> 00:12:27,320 Speaker 1: twenty five percent that we are seeing a reactivation of 208 00:12:27,360 --> 00:12:31,480 Speaker 1: COVID nineteen And the other thing that's concerning about packs 209 00:12:31,559 --> 00:12:34,280 Speaker 1: of it it is it's not tolerated very well. It 210 00:12:34,360 --> 00:12:36,600 Speaker 1: seems to be really hard on the stomach, it's got 211 00:12:36,640 --> 00:12:40,640 Speaker 1: some drug to drug interactions. But you know, for those 212 00:12:40,679 --> 00:12:43,880 Speaker 1: who can't take it, it does seem to be working. 213 00:12:44,720 --> 00:12:48,400 Speaker 1: But again I go back to there are other problems 214 00:12:48,480 --> 00:12:53,400 Speaker 1: and other treatments available. Why are we not using everything 215 00:12:53,400 --> 00:12:57,840 Speaker 1: in our arsenal to prevent the most vulnerable from having 216 00:12:58,040 --> 00:13:02,360 Speaker 1: bad outcomes? The very beginning, and the one therapeutic they 217 00:13:02,480 --> 00:13:07,400 Speaker 1: became the most controversial was hydroxy chloroquin. Now, since that time, 218 00:13:08,320 --> 00:13:11,760 Speaker 1: there have been a number of studies that showed, starting 219 00:13:11,760 --> 00:13:14,800 Speaker 1: with the henry Ford Hospital study, that if you took 220 00:13:14,800 --> 00:13:19,520 Speaker 1: it early pack again with a Z pack with zinc, 221 00:13:19,640 --> 00:13:23,400 Speaker 1: which with vitamin D three, with vitamin C, etc. Etc. 222 00:13:24,160 --> 00:13:26,600 Speaker 1: That if you took it early, that in the eighty 223 00:13:26,600 --> 00:13:30,800 Speaker 1: four percent of cases it did mitigate symptoms for people. 224 00:13:31,160 --> 00:13:33,880 Speaker 1: That's a pretty high percentage of people that we're having 225 00:13:33,880 --> 00:13:37,800 Speaker 1: their symptoms mitigated. But yet if you even talked about it, 226 00:13:37,920 --> 00:13:41,840 Speaker 1: you were ostracized as being a conspiracy theorist. Well yeah, 227 00:13:41,840 --> 00:13:44,199 Speaker 1: and look at what they're saying now, right, so right 228 00:13:44,200 --> 00:13:46,280 Speaker 1: now they're seeing in order packs with it to work, 229 00:13:46,320 --> 00:13:49,280 Speaker 1: you have to take it within the first seventy two hours, right, 230 00:13:49,559 --> 00:13:52,080 Speaker 1: So you have to take it early early treatment, early treatment, 231 00:13:52,120 --> 00:13:54,760 Speaker 1: early treatment. Well, we've been bitching about early treatment since 232 00:13:54,760 --> 00:13:57,280 Speaker 1: the very beginning. And what did they tell the patients? 233 00:13:57,640 --> 00:14:01,080 Speaker 1: Go home, wait seven days till you can't breathe, and 234 00:14:01,080 --> 00:14:03,800 Speaker 1: then go to the hospital, right, I mean, it's they're 235 00:14:03,840 --> 00:14:07,319 Speaker 1: so contradictory and everything that they've done throughout this pandemic, 236 00:14:08,040 --> 00:14:11,600 Speaker 1: it's absolute mind blowing. We know that if you started 237 00:14:11,640 --> 00:14:15,360 Speaker 1: treatment before day seven, from the very beginning, we had 238 00:14:15,480 --> 00:14:20,120 Speaker 1: a ninety nine point nine percent success rate of treatment nine. 239 00:14:21,240 --> 00:14:23,120 Speaker 1: I mean, I mean, I would think if you're really 240 00:14:23,120 --> 00:14:27,720 Speaker 1: a truly scientific or a scientist or in the medical community, 241 00:14:28,240 --> 00:14:30,880 Speaker 1: and you have people with this type of track record 242 00:14:30,920 --> 00:14:33,920 Speaker 1: that you want to duplicate what is working, what is successful, 243 00:14:34,000 --> 00:14:37,840 Speaker 1: But people wouldn't even talk to you about it exactly, 244 00:14:37,880 --> 00:14:39,560 Speaker 1: and they didn't want to even look at the data. 245 00:14:39,680 --> 00:14:42,200 Speaker 1: Like I said, I had the State of California, the 246 00:14:42,240 --> 00:14:45,200 Speaker 1: Public Health Department was here and they were in our clinic. 247 00:14:45,280 --> 00:14:50,640 Speaker 1: We were collecting data for them on mortality, on hospitalizations, 248 00:14:50,680 --> 00:14:56,920 Speaker 1: on demographics on you know, age and comorbidities. But they 249 00:14:57,000 --> 00:14:59,640 Speaker 1: refused to look at the last column, which was the 250 00:14:59,680 --> 00:15:02,640 Speaker 1: treatment data. They refused to look at it. And when 251 00:15:02,640 --> 00:15:05,200 Speaker 1: I asked him about it, they were like shocked, Well, 252 00:15:05,200 --> 00:15:07,280 Speaker 1: that's not what we're collecting. I'm like, why are you 253 00:15:07,280 --> 00:15:09,200 Speaker 1: not collecting the treatment data? What don't you want to 254 00:15:09,240 --> 00:15:12,520 Speaker 1: know if this treatment that we're giving actually works? And 255 00:15:12,600 --> 00:15:15,440 Speaker 1: the answer was no, we're not interested in that right now. 256 00:15:16,800 --> 00:15:19,680 Speaker 1: It's kind of it's the antibosis of science, isn't it. 257 00:15:20,240 --> 00:15:23,840 Speaker 1: You know, whatever happened to follow the science, Yeah, it 258 00:15:23,920 --> 00:15:27,680 Speaker 1: tells you that there's something more dark about this, there's more, 259 00:15:27,920 --> 00:15:31,240 Speaker 1: you know, more to what's going on. It's clearly with 260 00:15:31,280 --> 00:15:34,400 Speaker 1: all the suppression, clearly with all the social media. Uh, 261 00:15:34,640 --> 00:15:36,920 Speaker 1: you know that's going on and how we were banned, 262 00:15:37,240 --> 00:15:40,080 Speaker 1: you know, I mean I got I got kicked off 263 00:15:40,120 --> 00:15:46,239 Speaker 1: of Twitter for asking questions, asking questions, you know, when 264 00:15:46,400 --> 00:15:49,240 Speaker 1: when I put why does a child need a vaccine 265 00:15:49,280 --> 00:15:51,920 Speaker 1: when they have a ninety nine point nine nine seven 266 00:15:51,960 --> 00:15:55,240 Speaker 1: percent chance of survival? That was the question I posed 267 00:15:55,240 --> 00:15:59,200 Speaker 1: on Twitter? And I got banned for seven days for 268 00:15:59,280 --> 00:16:02,080 Speaker 1: asking that question. Well, the same thing that happened to 269 00:16:02,160 --> 00:16:05,400 Speaker 1: this doctor out of Stanford arguing that COVID lockdowns would 270 00:16:05,440 --> 00:16:09,840 Speaker 1: harden children. Twitter secretly placed them on a trending blacklist, 271 00:16:10,520 --> 00:16:14,120 Speaker 1: as revealed by by the Twitter files in this case 272 00:16:14,200 --> 00:16:18,840 Speaker 1: released by journalists Barry Weiss. Yeah, and when we continue 273 00:16:18,840 --> 00:16:20,880 Speaker 1: to ask questions, why do you need a vaccine if 274 00:16:20,880 --> 00:16:24,160 Speaker 1: you've already had COVID, you have natural immunity, Why do 275 00:16:24,240 --> 00:16:26,120 Speaker 1: we need to Why do we need to vaccinate those 276 00:16:26,120 --> 00:16:32,120 Speaker 1: who already have the antibodies? It made no sense anyway, 277 00:16:32,200 --> 00:16:36,680 Speaker 1: Doctor Tyson, you bravely power through all of this. In retrospect, 278 00:16:36,680 --> 00:16:40,200 Speaker 1: I think we really need to examine the free flow 279 00:16:40,240 --> 00:16:43,920 Speaker 1: of information in the country, and we can't censor opposing viewpoints, 280 00:16:43,920 --> 00:16:46,520 Speaker 1: and we need to let people do their own research 281 00:16:46,680 --> 00:16:49,840 Speaker 1: and let them decide in consultation with their own doctors. 282 00:16:49,880 --> 00:16:52,640 Speaker 1: But we really appreciate you being with us. It's sad 283 00:16:52,680 --> 00:16:55,400 Speaker 1: what they did and nobody's going to be held accountable, 284 00:16:55,400 --> 00:16:58,160 Speaker 1: which is even worse. But we appreciate your time, sir, 285 00:16:58,320 --> 00:17:01,320 Speaker 1: Thank you, absolutely, thank you. Sean all right, twenty five 286 00:17:01,360 --> 00:17:02,920 Speaker 1: nouns to the top of the hour, eight hundred and 287 00:17:02,960 --> 00:17:04,480 Speaker 1: nine f one. Sean, you want to be a part 288 00:17:04,520 --> 00:17:05,879 Speaker 1: of the program. We'll get to your calls here in 289 00:17:05,920 --> 00:17:08,000 Speaker 1: a second. So we told you this story, and this 290 00:17:08,080 --> 00:17:12,720 Speaker 1: is unbelievable, broken by the Daily Mail, about seven thousand 291 00:17:12,840 --> 00:17:18,840 Speaker 1: convicted pedophiles in California, some raping kids as young as fourteen, 292 00:17:18,960 --> 00:17:23,920 Speaker 1: found guilty and they're spending seven thousand prisoners, spending less 293 00:17:23,920 --> 00:17:27,520 Speaker 1: than a year in jail, all of them being released 294 00:17:27,560 --> 00:17:29,920 Speaker 1: out into the streets once again. And by the way, 295 00:17:29,960 --> 00:17:35,879 Speaker 1: the recidivism rate the child molesters is extraordinarily high, meaning 296 00:17:35,920 --> 00:17:39,160 Speaker 1: they're likely to do it again. You can't, you just 297 00:17:39,200 --> 00:17:42,560 Speaker 1: can't make this insanity up. Gavin Newsom, We got in 298 00:17:42,600 --> 00:17:45,160 Speaker 1: touch with his office. Oh, A lot of people seem 299 00:17:45,200 --> 00:17:47,520 Speaker 1: to think that this is something that the governor's office 300 00:17:47,560 --> 00:17:50,400 Speaker 1: can deal with, but no, it's local prosecutors and DA's 301 00:17:50,480 --> 00:17:54,520 Speaker 1: they're the ones responsible. Blah blah blah. No, you're the governor, Gavin, 302 00:17:55,119 --> 00:17:57,320 Speaker 1: and if this is happening in your state at this 303 00:17:57,480 --> 00:18:01,120 Speaker 1: level and you don't take steps to prevent it from happening, 304 00:18:01,600 --> 00:18:04,479 Speaker 1: you're just as guilty as the people that are doing it. 305 00:18:04,560 --> 00:18:07,080 Speaker 1: Because they're gonna do it again. Why don't you take 306 00:18:07,119 --> 00:18:10,200 Speaker 1: actions and steps to protect the kids in the state 307 00:18:10,200 --> 00:18:12,359 Speaker 1: of California where you're the governor. And we have this 308 00:18:12,440 --> 00:18:17,400 Speaker 1: other heart wrenching story about this baby poison with fentenol, 309 00:18:17,480 --> 00:18:20,520 Speaker 1: because and we've shown images all all over TV about this, 310 00:18:20,600 --> 00:18:22,840 Speaker 1: We've sent Lawrence Jones out there a number of times. 311 00:18:23,240 --> 00:18:27,280 Speaker 1: Where you have open air drug markets all over the place. Yeah, 312 00:18:27,359 --> 00:18:30,480 Speaker 1: people just sitting right there in an open drug market. 313 00:18:30,520 --> 00:18:34,040 Speaker 1: They're just shooting up heroin, whatever drugs they're using, smoking crack, 314 00:18:34,680 --> 00:18:39,080 Speaker 1: using fentanyl, all of that, dropping their syringes, urinating on 315 00:18:39,119 --> 00:18:42,159 Speaker 1: the street, defecating on the street. One mile from Nancy 316 00:18:42,200 --> 00:18:45,199 Speaker 1: Pelosi's house in one direction and one mile from our 317 00:18:45,280 --> 00:18:47,919 Speaker 1: office in another direction. And there is one of the 318 00:18:47,960 --> 00:18:51,760 Speaker 1: biggest open wide, open drug dens in the country and 319 00:18:51,840 --> 00:18:54,439 Speaker 1: they do nothing to clean it up. This is a baby. 320 00:18:54,720 --> 00:18:57,879 Speaker 1: You know, there's a little baby in a park you 321 00:18:57,920 --> 00:19:00,359 Speaker 1: know now gets fentanyl. The after have revi the kid 322 00:19:00,440 --> 00:19:03,560 Speaker 1: with an oar can. It's unreal. Kids, the baby's heart 323 00:19:03,680 --> 00:19:07,560 Speaker 1: stopped at one point. Anyway, here's San Francisco residence. Talking 324 00:19:07,600 --> 00:19:09,720 Speaker 1: about it as you feel when you heard about it, 325 00:19:09,760 --> 00:19:12,760 Speaker 1: a baby that he fendly I was, I mean, I 326 00:19:12,760 --> 00:19:16,840 Speaker 1: wasn't surprised. You were not surprised, not at all. Dogs 327 00:19:16,840 --> 00:19:20,560 Speaker 1: eating stuff all the time. I think just having so 328 00:19:20,680 --> 00:19:25,919 Speaker 1: many homeless people in this area is part of the problem. 329 00:19:26,560 --> 00:19:31,159 Speaker 1: Just walking the dogs you find, you know, needles and 330 00:19:31,920 --> 00:19:36,680 Speaker 1: that stuff. Docile using drugs in the parking you do. 331 00:19:37,119 --> 00:19:40,199 Speaker 1: We're here the dug out over here, Yeah, all the 332 00:19:40,240 --> 00:19:44,520 Speaker 1: time you see people are using drugs here in the park, Yes, 333 00:19:44,680 --> 00:19:49,560 Speaker 1: but usually right around here, taking the dugout, the dugout 334 00:19:49,720 --> 00:19:54,159 Speaker 1: and stands. How sad is that? Who would ever allow 335 00:19:54,320 --> 00:19:56,000 Speaker 1: and say it passed the buck? Well, it's not my 336 00:19:56,080 --> 00:20:00,639 Speaker 1: responsibility as governor that we're letting out pedophiles, convicted paedophiles 337 00:20:01,760 --> 00:20:04,400 Speaker 1: after less than one year in jail. He just can't 338 00:20:04,400 --> 00:20:06,840 Speaker 1: make this up. I mean, I think California needs to 339 00:20:06,880 --> 00:20:09,960 Speaker 1: be his own country. They're so out there The sad 340 00:20:10,040 --> 00:20:13,520 Speaker 1: reality though, is it's often been said, as goes California, 341 00:20:13,600 --> 00:20:16,399 Speaker 1: so goes the rest of the country. You know, wokeness 342 00:20:16,440 --> 00:20:19,679 Speaker 1: began out there years decades ago, and here it is 343 00:20:19,720 --> 00:20:22,359 Speaker 1: now we're all dealing with their crap. It's so sad. 344 00:20:22,400 --> 00:20:25,520 Speaker 1: All right, let's get to our phones. Patrick is in Texas, Patrick, 345 00:20:25,760 --> 00:20:28,160 Speaker 1: glad things that are normal in the Free State of Texas. 346 00:20:28,160 --> 00:20:32,840 Speaker 1: What's going on? I shall appreciate. Come on your program, Hey, 347 00:20:33,240 --> 00:20:37,359 Speaker 1: quick quick comment about Joe Biden stating that he's going 348 00:20:37,440 --> 00:20:40,680 Speaker 1: to keep his eye on Elon Musk. I can't tell 349 00:20:40,680 --> 00:20:44,160 Speaker 1: you how much that angers me to hear a US 350 00:20:44,200 --> 00:20:47,640 Speaker 1: president say, hey, I'm going to keep my eye on 351 00:20:48,160 --> 00:20:51,879 Speaker 1: the most successful business person, maybe if not one of 352 00:20:51,880 --> 00:20:56,480 Speaker 1: the most successful business people in the United States, watching him, 353 00:20:56,480 --> 00:21:00,000 Speaker 1: looking for him to make a mistake. That's good stuff. 354 00:21:00,000 --> 00:21:02,680 Speaker 1: Appo tactics. That's the stuff that we, you know, back 355 00:21:02,680 --> 00:21:06,640 Speaker 1: in the forties we do against al Capone and try 356 00:21:06,680 --> 00:21:10,919 Speaker 1: to find anything, you know, to try to get to 357 00:21:11,000 --> 00:21:15,200 Speaker 1: somebody and bend them to their will. I just find 358 00:21:15,240 --> 00:21:21,520 Speaker 1: that to be an upsetting situation. Our con they're trying 359 00:21:21,520 --> 00:21:25,080 Speaker 1: to intimidate the guy. They have every form of media imaginable. 360 00:21:25,640 --> 00:21:29,119 Speaker 1: You can't deny the connection, the cover up connection with 361 00:21:29,200 --> 00:21:33,119 Speaker 1: the Democratic Party and these big tech giants and the 362 00:21:33,200 --> 00:21:35,840 Speaker 1: suppression of information in the lead up to the twenty 363 00:21:35,880 --> 00:21:39,959 Speaker 1: twenty election, very specifically hunter Biden's laptop. And here Elon 364 00:21:40,080 --> 00:21:43,280 Speaker 1: Musk is trying to allow freedom. Now people would say, okay, 365 00:21:43,320 --> 00:21:46,760 Speaker 1: well he just canceled Kanye West. Now, if you're a Nazi, 366 00:21:46,880 --> 00:21:50,320 Speaker 1: you don't get a place on any platform. And what 367 00:21:50,560 --> 00:21:54,800 Speaker 1: Kanye has been saying and doing is so outrageous that 368 00:21:54,880 --> 00:21:57,320 Speaker 1: that would be a case where you're not going to let, 369 00:21:57,800 --> 00:22:03,240 Speaker 1: you know, such obvious hatred go unchecked. So there's got 370 00:22:03,240 --> 00:22:06,600 Speaker 1: to be some form of discipline, but there's got to 371 00:22:06,640 --> 00:22:11,760 Speaker 1: be a wide range of at least space for opinions 372 00:22:11,760 --> 00:22:14,400 Speaker 1: that maybe people agree with or don't agree with. They 373 00:22:14,440 --> 00:22:17,840 Speaker 1: ought not be the arbiters of whether a legitimate newspaper 374 00:22:17,920 --> 00:22:20,240 Speaker 1: story is real or not, and they ought to let 375 00:22:20,240 --> 00:22:24,440 Speaker 1: people at least see the information and decide for themselves. Absolutely, Sean, 376 00:22:24,640 --> 00:22:27,560 Speaker 1: you know, I think I think Trump very well could 377 00:22:27,600 --> 00:22:31,000 Speaker 1: have won if that story hadn't been suppressed. And I 378 00:22:31,000 --> 00:22:36,040 Speaker 1: think he noted that, and and it's just it really 379 00:22:36,080 --> 00:22:40,080 Speaker 1: makes me mad. Here Um, he said, that he's going 380 00:22:40,119 --> 00:22:44,720 Speaker 1: to release. How Twitter one point zero suppressed information and 381 00:22:45,000 --> 00:22:49,280 Speaker 1: interfered with elections. Now that is something that Congress now 382 00:22:49,359 --> 00:22:54,720 Speaker 1: must deal with. Yep, I agree, Thank you, buddy. You 383 00:22:54,800 --> 00:22:57,000 Speaker 1: have a good weekend. Eight hundred nine four one. Sean, 384 00:22:57,040 --> 00:23:00,600 Speaker 1: if you want to be a part of the program. Kevin, California, Kevin, 385 00:23:00,640 --> 00:23:02,480 Speaker 1: how are you? I don't know what you're doing out there. 386 00:23:02,480 --> 00:23:05,200 Speaker 1: It's time to leave, ye, No, it's time to stay. 387 00:23:05,240 --> 00:23:07,919 Speaker 1: Gallery is a great state. We got everything going against us, 388 00:23:07,920 --> 00:23:10,120 Speaker 1: but somebody's got to stay here and protect the state. 389 00:23:11,280 --> 00:23:13,440 Speaker 1: So I mean, somebody's got to stay there and pay 390 00:23:13,480 --> 00:23:16,240 Speaker 1: the tax bill because they've given away a fortune in 391 00:23:16,240 --> 00:23:18,639 Speaker 1: your state. You know that right. Believe me. I have 392 00:23:18,720 --> 00:23:21,400 Speaker 1: a hundred employees. I'm in the logistics business. I pay 393 00:23:21,440 --> 00:23:25,439 Speaker 1: the highest income tax and regulations and fuel taxes in 394 00:23:25,480 --> 00:23:29,000 Speaker 1: the country. That's me. But California is a beautiful state. 395 00:23:29,040 --> 00:23:32,199 Speaker 1: But Sean, how the government deals with these laws with 396 00:23:32,240 --> 00:23:35,919 Speaker 1: pedophiles is unbelievable. And if you would, I have a 397 00:23:35,960 --> 00:23:40,800 Speaker 1: story my life added a Texas directly. I was put 398 00:23:40,840 --> 00:23:43,120 Speaker 1: in a foster home when I was about My mom 399 00:23:43,200 --> 00:23:45,080 Speaker 1: can me out when I was about fourteen years old 400 00:23:45,600 --> 00:23:47,399 Speaker 1: and So I was raised by a foster family, and 401 00:23:47,440 --> 00:23:49,600 Speaker 1: I had a foster brother and he's by my age. 402 00:23:49,640 --> 00:23:51,720 Speaker 1: And we grow up and he becomes a young adult 403 00:23:51,800 --> 00:23:54,360 Speaker 1: and then an adult, and he ends up being we 404 00:23:54,400 --> 00:23:58,080 Speaker 1: find out, a child molester of little boys, little boys, 405 00:23:58,200 --> 00:24:02,080 Speaker 1: habitual ongoing the most you know, Sean, the most important 406 00:24:02,080 --> 00:24:04,080 Speaker 1: thing we have in the in the world is our 407 00:24:04,160 --> 00:24:07,080 Speaker 1: children and our elderly. That's the most important thing. You 408 00:24:07,119 --> 00:24:11,080 Speaker 1: can disagree with me, but the government to protect our 409 00:24:11,119 --> 00:24:13,800 Speaker 1: children and our elderly, that's like the number one thing. 410 00:24:14,000 --> 00:24:16,040 Speaker 1: It's like, I don't care about taxes so much, but 411 00:24:16,560 --> 00:24:20,240 Speaker 1: my kids, I've got three of them, Okay. So he 412 00:24:20,320 --> 00:24:23,480 Speaker 1: ends up getting busted for that after years of doing it, 413 00:24:23,520 --> 00:24:25,800 Speaker 1: and he goes to jail in California. They give him 414 00:24:26,680 --> 00:24:29,760 Speaker 1: one year in jail, of which he serves six months. 415 00:24:30,040 --> 00:24:32,879 Speaker 1: So he gets out, and of course he's part of 416 00:24:32,880 --> 00:24:35,960 Speaker 1: the seven thousand that we now know of. I mean, 417 00:24:36,400 --> 00:24:39,840 Speaker 1: and by the way, you're gonna get sick. Did it again? 418 00:24:39,960 --> 00:24:43,440 Speaker 1: When when I when I tell you what happens. So 419 00:24:43,520 --> 00:24:46,119 Speaker 1: he gets out, and of course he ends up living 420 00:24:46,160 --> 00:24:49,240 Speaker 1: the same life. I've disconnected from him. I'm raising my 421 00:24:49,280 --> 00:24:52,040 Speaker 1: own kids, and but I know he's doing the same stuff. 422 00:24:52,080 --> 00:24:53,879 Speaker 1: His whole family knows he's doing the same stuff. He 423 00:24:53,920 --> 00:24:57,600 Speaker 1: moves to Arizona, and sure enough, years later, in Arizona, 424 00:24:57,960 --> 00:25:01,440 Speaker 1: he gets busted for doing it again to multiple children. 425 00:25:02,520 --> 00:25:06,040 Speaker 1: Imagine the kids over the years, these little boys that 426 00:25:06,119 --> 00:25:10,399 Speaker 1: he's been living with and molesting and ongoing and photographing 427 00:25:10,440 --> 00:25:14,800 Speaker 1: and given. Okay, Arizona is a whole different world. Though 428 00:25:14,880 --> 00:25:17,920 Speaker 1: they bust him, they do some background investigation, they find 429 00:25:17,960 --> 00:25:20,679 Speaker 1: out all the kids he was doing. California said, oh, 430 00:25:20,720 --> 00:25:22,840 Speaker 1: you got one, we'll bust you for this one. You 431 00:25:22,920 --> 00:25:26,680 Speaker 1: go in, you go out. Arizona sentences him to over 432 00:25:26,880 --> 00:25:32,359 Speaker 1: six hundred years in prison. And you're talking about this 433 00:25:32,560 --> 00:25:35,240 Speaker 1: Edmund Adam Adams guy that was sentenced Monday to what 434 00:25:35,359 --> 00:25:38,200 Speaker 1: six hundred and twenty six and a half years in prison? 435 00:25:38,760 --> 00:25:42,480 Speaker 1: That's my far Arizona man. Yes, yes, yeah, I didn't. 436 00:25:42,600 --> 00:25:44,399 Speaker 1: I didn't want to bring up his name. But he 437 00:25:44,560 --> 00:25:47,680 Speaker 1: died in prison six months ago. Oh good riddance to 438 00:25:47,720 --> 00:25:50,760 Speaker 1: bad rubbish. I don't know people dead, but in this case, 439 00:25:50,840 --> 00:25:55,040 Speaker 1: he can't hurt another child. I can you imagine the 440 00:25:55,080 --> 00:25:58,320 Speaker 1: governor saying, oh, it's not my responsibility. That's even worse 441 00:25:58,560 --> 00:26:00,840 Speaker 1: I mean, look, you're stay it is nutty. I mean, 442 00:26:00,880 --> 00:26:04,640 Speaker 1: there's other news out there. It doesn't compare in terms 443 00:26:04,680 --> 00:26:07,600 Speaker 1: of the gravity of the situation. But you know, all 444 00:26:07,640 --> 00:26:11,840 Speaker 1: the social justice warriors out there in California they now 445 00:26:11,960 --> 00:26:16,520 Speaker 1: have are saying that the Democratic Party out there are 446 00:26:16,560 --> 00:26:21,720 Speaker 1: insisting the residents of California owe for slavery reparations and 447 00:26:21,960 --> 00:26:25,000 Speaker 1: it's gonna be five hundred and sixty nine billion dollars 448 00:26:25,000 --> 00:26:26,680 Speaker 1: that they're going to spend on that. That is a 449 00:26:27,040 --> 00:26:32,680 Speaker 1: new Gavinnusom initiative. That's what they're recommending handing out per person. 450 00:26:33,400 --> 00:26:36,479 Speaker 1: And also a California city is going to send all 451 00:26:36,520 --> 00:26:39,800 Speaker 1: adult residents, including non US citizens, one hundred bucks and 452 00:26:39,840 --> 00:26:43,800 Speaker 1: taxpayer of money to donate to political candidates. It's nuts 453 00:26:43,840 --> 00:26:46,120 Speaker 1: out there. You need you deserve to be your own 454 00:26:46,119 --> 00:26:48,840 Speaker 1: little island, your own little country. Will call you know, 455 00:26:48,920 --> 00:26:55,040 Speaker 1: the the United Utopia, Socialists, Communist State of California. I 456 00:26:55,080 --> 00:26:57,840 Speaker 1: think you deserve your independence because you're so nuts. Are 457 00:26:58,000 --> 00:27:03,920 Speaker 1: children are children? That that's a line right there. Well, 458 00:27:04,160 --> 00:27:07,080 Speaker 1: you'll look good for you for standing up for what's right. 459 00:27:07,640 --> 00:27:11,040 Speaker 1: Thanks for sharing the story. Um, when you harm a child, 460 00:27:11,119 --> 00:27:13,479 Speaker 1: what does the Bible say about that, Linda. You know, 461 00:27:13,560 --> 00:27:15,760 Speaker 1: God help you if you harm one of these children. 462 00:27:16,480 --> 00:27:19,280 Speaker 1: I mean, the Bible is so clear on that suffer 463 00:27:19,440 --> 00:27:22,199 Speaker 1: the little children to come unto me another biblical phrase, 464 00:27:23,080 --> 00:27:26,520 Speaker 1: unless you return as a little child in terms of innocence, 465 00:27:26,960 --> 00:27:29,560 Speaker 1: you can no way enter the Kingdom of Heaven. I mean, 466 00:27:29,920 --> 00:27:35,440 Speaker 1: really profound statements. If you harm a child, especially, there's 467 00:27:35,480 --> 00:27:38,080 Speaker 1: a special place in hell for you. Am I the 468 00:27:38,240 --> 00:27:41,439 Speaker 1: problem Sean, if I may, Everything you're saying is so 469 00:27:41,600 --> 00:27:44,040 Speaker 1: one point. You know, this is the this is our season. 470 00:27:44,080 --> 00:27:47,280 Speaker 1: If you're practicing Christian, you know that Christ comes to 471 00:27:47,359 --> 00:27:49,840 Speaker 1: us and is born, and we're all reflecting and reading. 472 00:27:50,320 --> 00:27:52,880 Speaker 1: And I have to say, honestly, you shouldn't be doing 473 00:27:52,880 --> 00:27:54,919 Speaker 1: that all the time. You should, but but I have 474 00:27:54,960 --> 00:27:57,440 Speaker 1: to say, I mean, you know, Ethan and I talk 475 00:27:57,480 --> 00:27:59,359 Speaker 1: about this a lot because our kids are young and 476 00:27:59,400 --> 00:28:02,480 Speaker 1: in school, and you know, I'm looking at the literature 477 00:28:02,880 --> 00:28:06,480 Speaker 1: and the curriculum and the sexual perversion that is being 478 00:28:06,520 --> 00:28:08,840 Speaker 1: put in front of three year olds, five year old, 479 00:28:08,920 --> 00:28:11,560 Speaker 1: seven year olds, ten year olds, fourteen year olds. I mean, 480 00:28:11,680 --> 00:28:15,560 Speaker 1: it is beyond anything I have ever seen in my life. 481 00:28:15,920 --> 00:28:18,520 Speaker 1: And I think the fact that parents are either not 482 00:28:18,600 --> 00:28:21,760 Speaker 1: aware or we're fighting the school boards, or we're trying 483 00:28:21,800 --> 00:28:26,560 Speaker 1: to get involved. And I just, I honestly do not understand, 484 00:28:26,600 --> 00:28:29,880 Speaker 1: and I mean this sincerely. I do not understand why 485 00:28:29,960 --> 00:28:32,720 Speaker 1: more people aren't outraged. You know, when I saw what 486 00:28:32,800 --> 00:28:35,359 Speaker 1: happened out there in Minnesota, where you know, Christians and 487 00:28:35,440 --> 00:28:38,080 Speaker 1: Muslims together came together and they said, this is really 488 00:28:38,280 --> 00:28:41,120 Speaker 1: an it's offensives us are in our religions, even though 489 00:28:41,120 --> 00:28:43,400 Speaker 1: they're completely different. We don't want the stuff taught to 490 00:28:43,440 --> 00:28:46,640 Speaker 1: our kids. Please teach some math and science. Let me 491 00:28:46,680 --> 00:28:51,160 Speaker 1: make your day worse because Fox reported an executive director 492 00:28:51,240 --> 00:28:55,200 Speaker 1: or Planned Parenthood, their sex education arm, claiming that children 493 00:28:55,280 --> 00:29:00,480 Speaker 1: are born quote sexual while simultaneously advocating for comprehends of 494 00:29:00,560 --> 00:29:04,720 Speaker 1: sex ed from kindergarten through twelfth grade and quote porn 495 00:29:05,000 --> 00:29:08,720 Speaker 1: literacy for certain ages. You know. The guy's name is 496 00:29:08,800 --> 00:29:15,000 Speaker 1: Bill Verner, who's advocated for sexuality education at US congressional briefings, 497 00:29:15,000 --> 00:29:18,560 Speaker 1: executive director of Planned Parenthood Center for Sex Education, located 498 00:29:18,600 --> 00:29:21,800 Speaker 1: in New Jersey, said, we have in our society an 499 00:29:21,840 --> 00:29:25,960 Speaker 1: assumption of asexuality of people with intellectual disabilities. It's a 500 00:29:26,040 --> 00:29:30,800 Speaker 1: myth that's perpetrated and really we are all sexual beings 501 00:29:30,800 --> 00:29:33,760 Speaker 1: from birth till death. How about you let the parents parent. 502 00:29:34,480 --> 00:29:37,200 Speaker 1: How about we do that? Stopped talking to our kids 503 00:29:37,240 --> 00:29:39,600 Speaker 1: about all this crap. Why do you want to talk 504 00:29:39,640 --> 00:29:43,720 Speaker 1: to fed about that? Meeting Balenciaga would do this idiotic 505 00:29:43,760 --> 00:29:47,080 Speaker 1: teddy bear in an S and M outfit. But they're 506 00:29:47,080 --> 00:29:49,440 Speaker 1: not the first. Honestly, It's just that, for some reason, 507 00:29:49,480 --> 00:29:50,880 Speaker 1: we paid attention to the I mean, you look at 508 00:29:50,880 --> 00:29:53,800 Speaker 1: old Calvin Klein eds, you look at Vanity Fair covers. 509 00:29:54,240 --> 00:29:56,239 Speaker 1: You know there are always things that are pushing the 510 00:29:56,320 --> 00:29:58,880 Speaker 1: envelope and stretching too far, and it makes you think, hmm, 511 00:29:59,000 --> 00:30:02,120 Speaker 1: what does that mean? But I just, I truthfully do 512 00:30:02,160 --> 00:30:05,240 Speaker 1: not understand at what point. I mean, if we're gonna 513 00:30:05,240 --> 00:30:07,920 Speaker 1: follow the science pureready happens when you're a teenager, Why 514 00:30:07,960 --> 00:30:09,760 Speaker 1: are you talking to my five year old about sex? 515 00:30:12,320 --> 00:30:15,959 Speaker 1: Why do they put guys somebody like Roland Planski on 516 00:30:16,000 --> 00:30:20,200 Speaker 1: a pedestal? You know exactly. That's an awesome point, yes, well, 517 00:30:20,280 --> 00:30:29,960 Speaker 1: said Hee. I get gold stars left and right todays. 518 00:30:30,000 --> 00:30:35,680 Speaker 1: The real true about the politics of DC's watchdog on 519 00:30:35,920 --> 00:30:43,080 Speaker 1: Baby Brother every Day is on right now. Getting to 520 00:30:43,160 --> 00:30:46,320 Speaker 1: the bottom of the origins of COVID. When we come back, 521 00:30:46,360 --> 00:30:49,640 Speaker 1: we're gonna be joined by doctor Waifund Zong. He's a 522 00:30:49,720 --> 00:30:55,720 Speaker 1: senior researcher at the Marcadis Center at George Mason University. Uh, 523 00:30:55,760 --> 00:30:57,960 Speaker 1: and he's going to unpack a lot of information that 524 00:30:58,080 --> 00:31:00,680 Speaker 1: nobody else seems to know. We'll get all of that. 525 00:31:00,760 --> 00:31:03,160 Speaker 1: But this is Joe Biden saying, Oh, China is not 526 00:31:03,160 --> 00:31:06,640 Speaker 1: a threat at all. China is going to eat our lunch. 527 00:31:07,320 --> 00:31:12,479 Speaker 1: Come on, man, I mean, you know they're not bad folks. Folks, 528 00:31:12,560 --> 00:31:16,680 Speaker 1: but guess what they're not. They're not our competition for us. 529 00:31:17,000 --> 00:31:23,240 Speaker 1: A more prosperous China will mean more demand for American 530 00:31:23,360 --> 00:31:26,880 Speaker 1: made goods and services and more jobs back home in 531 00:31:26,920 --> 00:31:30,240 Speaker 1: the United States of America. So our desire for your 532 00:31:30,280 --> 00:31:34,680 Speaker 1: prosperity is not born out of some nobility. It is 533 00:31:34,720 --> 00:31:39,720 Speaker 1: in our self interest that China continue to prosper Growth 534 00:31:39,720 --> 00:31:45,160 Speaker 1: to China is overwhelmingly in our interest. We've recognized that 535 00:31:45,200 --> 00:31:50,040 Speaker 1: the United States China relations generate global economic benefit, not 536 00:31:50,160 --> 00:31:53,560 Speaker 1: just to both our countries, but global benefit. That arising 537 00:31:53,720 --> 00:31:58,840 Speaker 1: China is a positive, positive development not only for China 538 00:31:58,920 --> 00:32:02,160 Speaker 1: but for America and the world written large. I guess 539 00:32:02,160 --> 00:32:03,880 Speaker 1: I want to ask you, do you think that this 540 00:32:03,960 --> 00:32:06,160 Speaker 1: is going to in fact be a major issue and 541 00:32:06,200 --> 00:32:08,720 Speaker 1: are you vulnerable on this issue at all because of 542 00:32:08,840 --> 00:32:11,880 Speaker 1: your son's business dealings in China? No, I don't please 543 00:32:11,920 --> 00:32:15,360 Speaker 1: so at all. My son's business dealings were not anything 544 00:32:15,360 --> 00:32:18,600 Speaker 1: where everybody that he's talking about, not even remotely. All right, 545 00:32:18,680 --> 00:32:22,200 Speaker 1: quick break right back more with doctor Waifang Zhong on 546 00:32:22,200 --> 00:32:25,240 Speaker 1: the other side from George Mason University. Your calls coming 547 00:32:25,320 --> 00:32:27,760 Speaker 1: up as we continue, But first let me tell you 548 00:32:27,800 --> 00:32:31,840 Speaker 1: about LifeLock. The holiday season of giving is also well 549 00:32:31,920 --> 00:32:35,480 Speaker 1: the season of taking for cyber criminals looking to cash in. Now. 550 00:32:35,520 --> 00:32:39,240 Speaker 1: Some tips to help you stay safe while holiday shopping, 551 00:32:39,280 --> 00:32:43,480 Speaker 1: including visiting secure sites and apps from the retailers that 552 00:32:43,560 --> 00:32:46,880 Speaker 1: you know you can trust, using a virtual private network 553 00:32:46,920 --> 00:32:51,040 Speaker 1: instead of public WiFi, have strong passwords, check with your 554 00:32:51,040 --> 00:32:55,240 Speaker 1: bank your credit card accounts for fraud. Look. The bottom 555 00:32:55,280 --> 00:32:57,840 Speaker 1: line is LifeLock dot com by Norton. We'll see the 556 00:32:57,880 --> 00:33:00,320 Speaker 1: threats we all miss on our own. If in fact, 557 00:33:00,360 --> 00:33:03,040 Speaker 1: any of your information as compromised, you'll get an alert. 558 00:33:03,320 --> 00:33:05,960 Speaker 1: If you're a victim of identity theft, you will get 559 00:33:06,000 --> 00:33:09,600 Speaker 1: a dedicated US based restoration specialist to fix it for 560 00:33:09,720 --> 00:33:12,200 Speaker 1: you Now. It's a low annual rate. You'll save an 561 00:33:12,240 --> 00:33:15,280 Speaker 1: additional twenty five percent off your first year just by 562 00:33:15,400 --> 00:33:18,440 Speaker 1: using the promo code Hannity Fall Now one eight hundred 563 00:33:18,480 --> 00:33:21,480 Speaker 1: LifeLock Or go to LifeLock dot com use the promo 564 00:33:21,520 --> 00:33:25,080 Speaker 1: code Hannity twenty five percent off. Protect your good name 565 00:33:25,120 --> 00:33:29,440 Speaker 1: and reputation, your finances, your credit score. One eight hundred LifeLock, 566 00:33:29,560 --> 00:33:32,520 Speaker 1: LifeLock dot com. Save twenty five percent with the promo 567 00:33:32,560 --> 00:33:33,240 Speaker 1: code Hannity